repo_name
stringlengths
6
79
path
stringlengths
5
236
copies
stringclasses
54 values
size
stringlengths
1
8
content
stringlengths
0
1.04M
license
stringclasses
15 values
Predator01/Levi
Downloads/ProySisDigAva (11-11-2015)/P18a_Shift_Register_8_bit_SN74164/Shift_Register_TB.vhd
2
2504
-------------------------------------------------------------------------------- -- Company: ITESM CQ -- Engineer: Miguel Gonzalez A01203712 -- -- Create Date: 09:49:00 10/13/2015 -- Design Name: -- Module Name: D:/ProySisDigAva/Levi/P22_Shift_Register_8_bit_SN74164/Shift_Register_TB.vhd -- Project Name: P22_Shift_Register_8_bit_SN74164 -- Target Device: -- Tool versions: -- Description: -- -- VHDL Test Bench Created by ISE for module: Shift_Register -- -- Dependencies: -- -- Revision: -- Revision 0.01 - File Created -- Additional Comments: -- -- Notes: -- This testbench has been automatically generated using types std_logic and -- std_logic_vector for the ports of the unit under test. Xilinx recommends -- that these types always be used for the top-level I/O of a design in order -- to guarantee that the testbench will bind correctly to the post-implementation -- simulation model. -------------------------------------------------------------------------------- LIBRARY ieee; USE ieee.std_logic_1164.ALL; -- Uncomment the following library declaration if using -- arithmetic functions with Signed or Unsigned values --USE ieee.numeric_std.ALL; ENTITY Shift_Register_TB IS END Shift_Register_TB; ARCHITECTURE behavior OF Shift_Register_TB IS -- Component Declaration for the Unit Under Test (UUT) COMPONENT Shift_Register PORT( Clk : IN std_logic; A : IN std_logic; B : IN std_logic; Clr : IN std_logic; Q : OUT std_logic_vector(0 to 7) ); END COMPONENT; --Inputs signal Clk : std_logic := '0'; signal A : std_logic := '0'; signal B : std_logic := '0'; signal Clr : std_logic := '0'; --Outputs signal Q : std_logic_vector(0 to 7); -- Clock period definitions constant Clk_period : time := 100 ns; BEGIN -- Instantiate the Unit Under Test (UUT) uut: Shift_Register PORT MAP ( Clk => Clk, A => A, B => B, Clr => Clr, Q => Q ); -- Clock process definitions Clk_process :process begin Clk <= '0'; wait for Clk_period/2; Clk <= '1'; wait for Clk_period/2; end process; -- Stimulus process stim_proc: process begin -- hold reset state for 100 ns. wait for 100 ns; wait for Clk_period*1; -- insert stimulus here Clr <= '0'; wait for Clk_period*1; A <= '1'; B <= '1'; Clr <= '1'; wait; end process; END;
mit
Predator01/Levi
Downloads/ProySisDigAva (11-11-2015)/P22_ServoControl/ServoControl_vtb.vhd
1
2419
-------------------------------------------------------------------------------- -- Company: -- Engineer: -- -- Create Date: 07:42:03 10/04/2012 -- Design Name: -- Module Name: D:/ProySisDigAva/P18a_ServoControl_Felipe_Santiago_Rafael/ServoControl_vtb.vhd -- Project Name: P18_ServoControl -- Target Device: -- Tool versions: -- Description: -- -- VHDL Test Bench Created by ISE for module: ServoControl -- -- Dependencies: -- -- Revision: -- Revision 0.01 - File Created -- Additional Comments: -- -- Notes: -- This testbench has been automatically generated using types std_logic and -- std_logic_vector for the ports of the unit under test. Xilinx recommends -- that these types always be used for the top-level I/O of a design in order -- to guarantee that the testbench will bind correctly to the post-implementation -- simulation model. -------------------------------------------------------------------------------- LIBRARY ieee; USE ieee.std_logic_1164.ALL; -- Uncomment the following library declaration if using -- arithmetic functions with Signed or Unsigned values --USE ieee.numeric_std.ALL; ENTITY ServoControl_vtb IS END ServoControl_vtb; ARCHITECTURE behavior OF ServoControl_vtb IS -- Component Declaration for the Unit Under Test (UUT) COMPONENT ServoControl PORT( Angulo : IN std_logic_vector(7 downto 0); Clk : IN std_logic; Rst : IN std_logic; Senal : OUT std_logic ); END COMPONENT; --Inputs signal Angulo : std_logic_vector(7 downto 0) := (others => '0'); signal Clk : std_logic := '0'; signal Rst : std_logic := '0'; --Outputs signal Senal : std_logic; -- Clock period definitions constant Clk_period : time := 10 ns; BEGIN -- Instantiate the Unit Under Test (UUT) uut: ServoControl PORT MAP ( Angulo => Angulo, Clk => Clk, Rst => Rst, Senal => Senal ); -- Clock process definitions Clk_process :process begin Clk <= '0'; wait for Clk_period/2; Clk <= '1'; wait for Clk_period/2; end process; -- Stimulus process stim_proc: process begin -- hold reset state for 100 ns. wait for 100 ns; wait for Clk_period*10; -- insert stimulus here Rst <= '1'; wait for Clk_period; Rst <= '0'; Angulo <= X"7F"; wait; end process; END;
mit
jerodestapa/jerodestapa.github.io
vendor/cache/ruby/2.0.0/gems/pygments.rb-0.6.3/vendor/pygments-main/tests/examplefiles/test.vhdl
75
4446
library ieee; use ieee.std_logic_unsigned.all; use ieee.std_logic_1164.all; use ieee.numeric_std.all; entity top_testbench is --test generic ( -- test n : integer := 8 -- test ); -- test end top_testbench; -- test architecture top_testbench_arch of top_testbench is component top is generic ( n : integer ) ; port ( clk : in std_logic; rst : in std_logic; d1 : in std_logic_vector (n-1 downto 0); d2 : in std_logic_vector (n-1 downto 0); operation : in std_logic; result : out std_logic_vector (2*n-1 downto 0) ); end component; signal clk : std_logic; signal rst : std_logic; signal operation : std_logic; signal d1 : std_logic_vector (n-1 downto 0); signal d2 : std_logic_vector (n-1 downto 0); signal result : std_logic_vector (2*n-1 downto 0); type test_type is ( a1, a2, a3, a4, a5, a6, a7, a8, a9, a10); attribute enum_encoding of my_state : type is "001 010 011 100 111"; begin TESTUNIT : top generic map (n => n) port map (clk => clk, rst => rst, d1 => d1, d2 => d2, operation => operation, result => result); clock_process : process begin clk <= '0'; wait for 5 ns; clk <= '1'; wait for 5 ns; end process; data_process : process begin -- test case #1 operation <= '0'; rst <= '1'; wait for 5 ns; rst <= '0'; wait for 5 ns; d1 <= std_logic_vector(to_unsigned(60, d1'length)); d2 <= std_logic_vector(to_unsigned(12, d2'length)); wait for 360 ns; assert (result = std_logic_vector(to_unsigned(720, result'length))) report "Test case #1 failed" severity error; -- test case #2 operation <= '0'; rst <= '1'; wait for 5 ns; rst <= '0'; wait for 5 ns; d1 <= std_logic_vector(to_unsigned(55, d1'length)); d2 <= std_logic_vector(to_unsigned(1, d2'length)); wait for 360 ns; assert (result = std_logic_vector(to_unsigned(55, result'length))) report "Test case #2 failed" severity error; -- etc end process; end top_testbench_arch; configuration testbench_for_top of top_testbench is for top_testbench_arch for TESTUNIT : top use entity work.top(top_arch); end for; end for; end testbench_for_top; function compare(A: std_logic, B: std_Logic) return std_logic is constant pi : real := 3.14159; constant half_pi : real := pi / 2.0; constant cycle_time : time := 2 ns; constant N, N5 : integer := 5; begin if (A = '0' and B = '1') then return B; else return A; end if ; end compare; procedure print(P : std_logic_vector(7 downto 0); U : std_logic_vector(3 downto 0)) is variable my_line : line; alias swrite is write [line, string, side, width] ; begin swrite(my_line, "sqrt( "); write(my_line, P); swrite(my_line, " )= "); write(my_line, U); writeline(output, my_line); end print; entity add32csa is -- one stage of carry save adder for multiplier port( b : in std_logic; -- a multiplier bit a : in std_logic_vector(31 downto 0); -- multiplicand sum_in : in std_logic_vector(31 downto 0); -- sums from previous stage cin : in std_logic_vector(31 downto 0); -- carrys from previous stage sum_out : out std_logic_vector(31 downto 0); -- sums to next stage cout : out std_logic_vector(31 downto 0)); -- carrys to next stage end add32csa; ARCHITECTURE circuits of add32csa IS SIGNAL zero : STD_LOGIC_VECTOR(31 downto 0) := X"00000000"; SIGNAL aa : std_logic_vector(31 downto 0) := X"00000000"; COMPONENT fadd -- duplicates entity port PoRT(a : in std_logic; b : in std_logic; cin : in std_logic; s : out std_logic; cout : out std_logic); end comPonent fadd; begin -- circuits of add32csa aa <= a when b='1' else zero after 1 ns; stage: for I in 0 to 31 generate sta: fadd port map(aa(I), sum_in(I), cin(I) , sum_out(I), cout(I)); end generate stage; end architecture circuits; -- of add32csa
mit
Predator01/Levi
Downloads/ProySisDigAva (11-11-2015)/P20_Exam_Prob2_LED_Test/LED_Test.vhd
1
699
---------------------------------------------------------------------------------- -- Company: -- Engineer: -- -- Create Date: 09:11:12 10/28/2015 -- Design Name: -- Module Name: LED_Test - Behavioral -- Project Name: -- Target Devices: -- Tool versions: -- Description: -- -- Dependencies: -- -- Revision: -- Revision 0.01 - File Created -- Additional Comments: -- ---------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; entity LED_Test is Port ( Switch : in STD_LOGIC; LED : out STD_LOGIC); end LED_Test; architecture Behavioral of LED_Test is begin LED <= Switch; end Behavioral;
mit
Predator01/Levi
P25_Mustang_Tail_Lights_Controller_FSM/Mustang_Tail_Lights_Controller_TB.vhd
1
3332
-------------------------------------------------------------------------------- -- Company: -- Engineer: -- -- Create Date: 22:04:23 11/02/2015 -- Design Name: -- Module Name: D:/ProySisDigAva/Levi/Exam_P17_Hierarchical_Clock_Complete/P24_Mustang_Tail_Lights_Controller_FSM/Mustang_Tail_Lights_Controller_TB.vhd -- Project Name: P24_Mustang_Tail_Lights_Controller_FSM -- Target Device: -- Tool versions: -- Description: -- -- VHDL Test Bench Created by ISE for module: Mustang_Tail_Lights_Controller -- -- Dependencies: -- -- Revision: -- Revision 0.01 - File Created -- Additional Comments: -- -- Notes: -- This testbench has been automatically generated using types std_logic and -- std_logic_vector for the ports of the unit under test. Xilinx recommends -- that these types always be used for the top-level I/O of a design in order -- to guarantee that the testbench will bind correctly to the post-implementation -- simulation model. -------------------------------------------------------------------------------- LIBRARY ieee; USE ieee.std_logic_1164.ALL; -- Uncomment the following library declaration if using -- arithmetic functions with Signed or Unsigned values --USE ieee.numeric_std.ALL; ENTITY Mustang_Tail_Lights_Controller_TB IS END Mustang_Tail_Lights_Controller_TB; ARCHITECTURE behavior OF Mustang_Tail_Lights_Controller_TB IS -- Component Declaration for the Unit Under Test (UUT) COMPONENT Mustang_Tail_Lights_Controller PORT( TurnLeft : IN std_logic; TurnRight : IN std_logic; Haz : IN std_logic; Clk : IN std_logic; Rst : IN std_logic; L : OUT std_logic_vector(2 downto 0); R : OUT std_logic_vector(0 to 2) ); END COMPONENT; --Inputs signal TurnLeft : std_logic := '0'; signal TurnRight : std_logic := '0'; signal Haz : std_logic := '0'; signal Clk : std_logic := '0'; signal Rst : std_logic := '0'; --Outputs signal L : std_logic_vector(2 downto 0); signal R : std_logic_vector(0 to 2); -- Clock period definitions constant Clk_period : time := 100 ns; BEGIN -- Instantiate the Unit Under Test (UUT) uut: Mustang_Tail_Lights_Controller PORT MAP ( TurnLeft => TurnLeft, TurnRight => TurnRight, Haz => Haz, Clk => Clk, Rst => Rst, L => L, R => R ); -- Clock process definitions Clk_process :process begin Clk <= '0'; wait for Clk_period/2; Clk <= '1'; wait for Clk_period/2; end process; -- Stimulus process stim_proc: process begin -- hold reset state for 100 ns. wait for 100 ns; wait for Clk_period*1; -- insert stimulus here Rst <= '0'; wait for Clk_period*1; Rst <= '1'; TurnLeft <= '1'; TurnRight<= '0'; Haz <= '0'; wait for Clk_period*3; TurnLeft <= '0'; TurnRight<= '1'; Haz <= '0'; wait for Clk_period*3; TurnLeft <= '1'; TurnRight<= '1'; Haz <= '0'; wait for Clk_period*3; TurnLeft <= '1'; TurnRight<= '1'; Haz <= '1'; wait for Clk_period*2; TurnLeft <= '1'; TurnRight<= '1'; Haz <= '0'; wait for Clk_period*2; TurnLeft <= '0'; TurnRight<= '0'; Haz <= '0'; wait for Clk_period*2; Rst <= '0'; wait; end process; END;
mit
boztalay/HighSchoolSeniorProject
FPGA Stuff/OZ4_Mandelbrot/Hardware/OZ4_Mandelbrot/four_dig_7seg.vhd
1
2472
library IEEE; use IEEE.STD_LOGIC_1164.ALL; use IEEE.STD_LOGIC_ARITH.ALL; use IEEE.STD_LOGIC_UNSIGNED.ALL; entity four_dig_7seg is Port ( clock : in STD_LOGIC; display_data : in STD_LOGIC_VECTOR (15 downto 0); anodes : out STD_LOGIC_VECTOR (3 downto 0); to_display : out STD_LOGIC_VECTOR (6 downto 0)); end four_dig_7seg; architecture Behavioral of four_dig_7seg is --//Signals\\-- signal to_decoder : STD_LOGIC_VECTOR(3 downto 0); --\\Signals//-- begin --This process takes the data to display and --multiplexes 4-bit chunks of it according --to the input clock. The 4-bit chunks are --sent to the decoder and the anode lines --are switched to activate one digit at a time disp_data: process(display_data, clock) is variable clk_count : integer := 0; --A variable to count the clock ticks variable disp_count : integer := 0; --A variable to hold on to which digit begin --is currently being displayed if rising_edge(clock) then clk_count := clk_count + 1; if clk_count = 100000 then --Refresh rate with 100000 is about 125 Hz for the entire display disp_count := disp_count + 1; clk_count := 0; if disp_count = 4 then disp_count := 0; end if; end if; end if; if disp_count = 0 then --First digit anodes <= "1110"; to_decoder <= display_data(3 downto 0); elsif disp_count = 1 then --Second digit anodes <= "1101"; to_decoder <= display_data(7 downto 4); elsif disp_count = 2 then --Third digit anodes <= "1011"; to_decoder <= display_data(11 downto 8); elsif disp_count = 3 then --Fourth digit anodes <= "0111"; to_decoder <= display_data(15 downto 12); end if; end process; --This represents a ROM that will act as the --individual 7-segment decoder for each digit --of the display with to_decoder select to_display <= "0000001" when "0000", "1001111" when "0001", "0010010" when "0010", "0000110" when "0011", "1001100" when "0100", "0100100" when "0101", "0100000" when "0110", "0001111" when "0111", "0000000" when "1000", "0000100" when "1001", "0001000" when "1010", "1100000" when "1011", "0110001" when "1100", "1000010" when "1101", "0110000" when "1110", "0111000" when "1111", "0000001" when others; end Behavioral;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/RTL/prog_rom.vhd
2
19877
----------------------------------------------------------------------------- -- Definition of a single port ROM for RATASM defined by prog_rom.psm -- -- Generated by RATASM Assembler -- -- Standard IEEE libraries -- ----------------------------------------------------------------------------- ----------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; use IEEE.STD_LOGIC_ARITH.ALL; use IEEE.STD_LOGIC_UNSIGNED.ALL; library unisim; use unisim.vcomponents.all; ----------------------------------------------------------------------------- entity prog_rom is port ( ADDRESS : in std_logic_vector(9 downto 0); INSTRUCTION : out std_logic_vector(17 downto 0); CLK : in std_logic); end prog_rom; architecture low_level_definition of prog_rom is ----------------------------------------------------------------------------- -- Attributes to define ROM contents during implementation synthesis. -- The information is repeated in the generic map for functional simulation. ----------------------------------------------------------------------------- attribute INIT_00 : string; attribute INIT_01 : string; attribute INIT_02 : string; attribute INIT_03 : string; attribute INIT_04 : string; attribute INIT_05 : string; attribute INIT_06 : string; attribute INIT_07 : string; attribute INIT_08 : string; attribute INIT_09 : string; attribute INIT_0A : string; attribute INIT_0B : string; attribute INIT_0C : string; attribute INIT_0D : string; attribute INIT_0E : string; attribute INIT_0F : string; attribute INIT_10 : string; attribute INIT_11 : string; attribute INIT_12 : string; attribute INIT_13 : string; attribute INIT_14 : string; attribute INIT_15 : string; attribute INIT_16 : string; attribute INIT_17 : string; attribute INIT_18 : string; attribute INIT_19 : string; attribute INIT_1A : string; attribute INIT_1B : string; attribute INIT_1C : string; attribute INIT_1D : string; attribute INIT_1E : string; attribute INIT_1F : string; attribute INIT_20 : string; attribute INIT_21 : string; attribute INIT_22 : string; attribute INIT_23 : string; attribute INIT_24 : string; attribute INIT_25 : string; attribute INIT_26 : string; attribute INIT_27 : string; attribute INIT_28 : string; attribute INIT_29 : string; attribute INIT_2A : string; attribute INIT_2B : string; attribute INIT_2C : string; attribute INIT_2D : string; attribute INIT_2E : string; attribute INIT_2F : string; attribute INIT_30 : string; attribute INIT_31 : string; attribute INIT_32 : string; attribute INIT_33 : string; attribute INIT_34 : string; attribute INIT_35 : string; attribute INIT_36 : string; attribute INIT_37 : string; attribute INIT_38 : string; attribute INIT_39 : string; attribute INIT_3A : string; attribute INIT_3B : string; attribute INIT_3C : string; attribute INIT_3D : string; attribute INIT_3E : string; attribute INIT_3F : string; attribute INITP_00 : string; attribute INITP_01 : string; attribute INITP_02 : string; attribute INITP_03 : string; attribute INITP_04 : string; attribute INITP_05 : string; attribute INITP_06 : string; attribute INITP_07 : string; ---------------------------------------------------------------------- -- Attributes to define ROM contents during implementation synthesis. ---------------------------------------------------------------------- attribute INIT_00 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_01 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000080804A400A5A6BFF2A20"; attribute INIT_02 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_03 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_04 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_05 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_06 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_07 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_08 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_09 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_0A of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_0B of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_0C of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_0D of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_0E of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_0F of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_10 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_11 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_12 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_13 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_14 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_15 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_16 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_17 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_18 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_19 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_1A of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_1B of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_1C of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_1D of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_1E of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_1F of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_20 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_21 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_22 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_23 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_24 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_25 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_26 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_27 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_28 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_29 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_2A of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_2B of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_2C of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_2D of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_2E of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_2F of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_30 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_31 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_32 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_33 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_34 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_35 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_36 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_37 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_38 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_39 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_3A of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_3B of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_3C of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_3D of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_3E of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INIT_3F of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INITP_00 of ram_1024_x_18 : label is "000000000000000000000000000000000000000000000000000000CF00000000"; attribute INITP_01 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INITP_02 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INITP_03 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INITP_04 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INITP_05 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INITP_06 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; attribute INITP_07 of ram_1024_x_18 : label is "0000000000000000000000000000000000000000000000000000000000000000"; begin ---------------------------------------------------------------------- --Instantiate the Xilinx primitive for a block RAM --INIT values repeated to define contents for functional simulation ---------------------------------------------------------------------- ram_1024_x_18: RAMB16_S18 --synthesitranslate_off --INIT values repeated to define contents for functional simulation generic map ( INIT_00 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_01 => X"0000000000000000000000000000000000000000000080804A400A5A6BFF2A20", INIT_02 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_03 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_04 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_05 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_06 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_07 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_08 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_09 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_0A => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_0B => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_0C => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_0D => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_0E => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_0F => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_10 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_11 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_12 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_13 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_14 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_15 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_16 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_17 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_18 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_19 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_1A => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_1B => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_1C => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_1D => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_1E => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_1F => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_20 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_21 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_22 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_23 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_24 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_25 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_26 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_27 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_28 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_29 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_2A => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_2B => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_2C => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_2D => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_2E => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_2F => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_30 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_31 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_32 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_33 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_34 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_35 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_36 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_37 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_38 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_39 => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_3A => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_3B => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_3C => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_3D => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_3E => X"0000000000000000000000000000000000000000000000000000000000000000", INIT_3F => X"0000000000000000000000000000000000000000000000000000000000000000", INITP_00 => X"000000000000000000000000000000000000000000000000000000CF00000000", INITP_01 => X"0000000000000000000000000000000000000000000000000000000000000000", INITP_02 => X"0000000000000000000000000000000000000000000000000000000000000000", INITP_03 => X"0000000000000000000000000000000000000000000000000000000000000000", INITP_04 => X"0000000000000000000000000000000000000000000000000000000000000000", INITP_05 => X"0000000000000000000000000000000000000000000000000000000000000000", INITP_06 => X"0000000000000000000000000000000000000000000000000000000000000000", INITP_07 => X"0000000000000000000000000000000000000000000000000000000000000000") --synthesis translate_on port map( DI => "0000000000000000", DIP => "00", EN => '1', WE => '0', SSR => '0', CLK => clk, ADDR => address, DO => INSTRUCTION(15 downto 0), DOP => INSTRUCTION(17 downto 16)); -- end low_level_definition; -- ---------------------------------------------------------------------- -- END OF FILE prog_rom.vhd ----------------------------------------------------------------------
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim/FIR_sim.srcs/sources_1/bd/design_1/ip/design_1_FIR_resized1_3/sim/design_1_FIR_resized1_3.vhd
4
10440
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:ip:fir_compiler:7.2 -- IP Revision: 6 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY fir_compiler_v7_2_6; USE fir_compiler_v7_2_6.fir_compiler_v7_2_6; ENTITY design_1_FIR_resized1_3 IS PORT ( aclk : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0) ); END design_1_FIR_resized1_3; ARCHITECTURE design_1_FIR_resized1_3_arch OF design_1_FIR_resized1_3 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF design_1_FIR_resized1_3_arch: ARCHITECTURE IS "yes"; COMPONENT fir_compiler_v7_2_6 IS GENERIC ( C_XDEVICEFAMILY : STRING; C_ELABORATION_DIR : STRING; C_COMPONENT_NAME : STRING; C_COEF_FILE : STRING; C_COEF_FILE_LINES : INTEGER; C_FILTER_TYPE : INTEGER; C_INTERP_RATE : INTEGER; C_DECIM_RATE : INTEGER; C_ZERO_PACKING_FACTOR : INTEGER; C_SYMMETRY : INTEGER; C_NUM_FILTS : INTEGER; C_NUM_TAPS : INTEGER; C_NUM_CHANNELS : INTEGER; C_CHANNEL_PATTERN : STRING; C_ROUND_MODE : INTEGER; C_COEF_RELOAD : INTEGER; C_NUM_RELOAD_SLOTS : INTEGER; C_COL_MODE : INTEGER; C_COL_PIPE_LEN : INTEGER; C_COL_CONFIG : STRING; C_OPTIMIZATION : INTEGER; C_DATA_PATH_WIDTHS : STRING; C_DATA_IP_PATH_WIDTHS : STRING; C_DATA_PX_PATH_WIDTHS : STRING; C_DATA_WIDTH : INTEGER; C_COEF_PATH_WIDTHS : STRING; C_COEF_WIDTH : INTEGER; C_DATA_PATH_SRC : STRING; C_COEF_PATH_SRC : STRING; C_PX_PATH_SRC : STRING; C_DATA_PATH_SIGN : STRING; C_COEF_PATH_SIGN : STRING; C_ACCUM_PATH_WIDTHS : STRING; C_OUTPUT_WIDTH : INTEGER; C_OUTPUT_PATH_WIDTHS : STRING; C_ACCUM_OP_PATH_WIDTHS : STRING; C_EXT_MULT_CNFG : STRING; C_DATA_PATH_PSAMP_SRC : STRING; C_OP_PATH_PSAMP_SRC : STRING; C_NUM_MADDS : INTEGER; C_OPT_MADDS : STRING; C_OVERSAMPLING_RATE : INTEGER; C_INPUT_RATE : INTEGER; C_OUTPUT_RATE : INTEGER; C_DATA_MEMTYPE : INTEGER; C_COEF_MEMTYPE : INTEGER; C_IPBUFF_MEMTYPE : INTEGER; C_OPBUFF_MEMTYPE : INTEGER; C_DATAPATH_MEMTYPE : INTEGER; C_MEM_ARRANGEMENT : INTEGER; C_DATA_MEM_PACKING : INTEGER; C_COEF_MEM_PACKING : INTEGER; C_FILTS_PACKED : INTEGER; C_LATENCY : INTEGER; C_HAS_ARESETn : INTEGER; C_HAS_ACLKEN : INTEGER; C_DATA_HAS_TLAST : INTEGER; C_S_DATA_HAS_FIFO : INTEGER; C_S_DATA_HAS_TUSER : INTEGER; C_S_DATA_TDATA_WIDTH : INTEGER; C_S_DATA_TUSER_WIDTH : INTEGER; C_M_DATA_HAS_TREADY : INTEGER; C_M_DATA_HAS_TUSER : INTEGER; C_M_DATA_TDATA_WIDTH : INTEGER; C_M_DATA_TUSER_WIDTH : INTEGER; C_HAS_CONFIG_CHANNEL : INTEGER; C_CONFIG_SYNC_MODE : INTEGER; C_CONFIG_PACKET_SIZE : INTEGER; C_CONFIG_TDATA_WIDTH : INTEGER; C_RELOAD_TDATA_WIDTH : INTEGER ); PORT ( aresetn : IN STD_LOGIC; aclk : IN STD_LOGIC; aclken : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tlast : IN STD_LOGIC; s_axis_data_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); s_axis_config_tvalid : IN STD_LOGIC; s_axis_config_tready : OUT STD_LOGIC; s_axis_config_tlast : IN STD_LOGIC; s_axis_config_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_reload_tvalid : IN STD_LOGIC; s_axis_reload_tready : OUT STD_LOGIC; s_axis_reload_tlast : IN STD_LOGIC; s_axis_reload_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tready : IN STD_LOGIC; m_axis_data_tlast : OUT STD_LOGIC; m_axis_data_tuser : OUT STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0); event_s_data_tlast_missing : OUT STD_LOGIC; event_s_data_tlast_unexpected : OUT STD_LOGIC; event_s_data_chanid_incorrect : OUT STD_LOGIC; event_s_config_tlast_missing : OUT STD_LOGIC; event_s_config_tlast_unexpected : OUT STD_LOGIC; event_s_reload_tlast_missing : OUT STD_LOGIC; event_s_reload_tlast_unexpected : OUT STD_LOGIC ); END COMPONENT fir_compiler_v7_2_6; ATTRIBUTE X_INTERFACE_INFO : STRING; ATTRIBUTE X_INTERFACE_INFO OF aclk: SIGNAL IS "xilinx.com:signal:clock:1.0 aclk_intf CLK"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tready: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TREADY"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TDATA"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TDATA"; BEGIN U0 : fir_compiler_v7_2_6 GENERIC MAP ( C_XDEVICEFAMILY => "zynq", C_ELABORATION_DIR => "./", C_COMPONENT_NAME => "design_1_FIR_resized1_3", C_COEF_FILE => "design_1_FIR_resized1_3.mif", C_COEF_FILE_LINES => 35, C_FILTER_TYPE => 1, C_INTERP_RATE => 1, C_DECIM_RATE => 5, C_ZERO_PACKING_FACTOR => 1, C_SYMMETRY => 1, C_NUM_FILTS => 1, C_NUM_TAPS => 62, C_NUM_CHANNELS => 1, C_CHANNEL_PATTERN => "fixed", C_ROUND_MODE => 1, C_COEF_RELOAD => 0, C_NUM_RELOAD_SLOTS => 1, C_COL_MODE => 1, C_COL_PIPE_LEN => 4, C_COL_CONFIG => "7", C_OPTIMIZATION => 0, C_DATA_PATH_WIDTHS => "24", C_DATA_IP_PATH_WIDTHS => "24", C_DATA_PX_PATH_WIDTHS => "24", C_DATA_WIDTH => 24, C_COEF_PATH_WIDTHS => "16", C_COEF_WIDTH => 16, C_DATA_PATH_SRC => "0", C_COEF_PATH_SRC => "0", C_PX_PATH_SRC => "0", C_DATA_PATH_SIGN => "0", C_COEF_PATH_SIGN => "0", C_ACCUM_PATH_WIDTHS => "42", C_OUTPUT_WIDTH => 32, C_OUTPUT_PATH_WIDTHS => "32", C_ACCUM_OP_PATH_WIDTHS => "42", C_EXT_MULT_CNFG => "none", C_DATA_PATH_PSAMP_SRC => "0", C_OP_PATH_PSAMP_SRC => "0", C_NUM_MADDS => 7, C_OPT_MADDS => "none", C_OVERSAMPLING_RATE => 1, C_INPUT_RATE => 1, C_OUTPUT_RATE => 5, C_DATA_MEMTYPE => 0, C_COEF_MEMTYPE => 2, C_IPBUFF_MEMTYPE => 2, C_OPBUFF_MEMTYPE => 0, C_DATAPATH_MEMTYPE => 2, C_MEM_ARRANGEMENT => 1, C_DATA_MEM_PACKING => 0, C_COEF_MEM_PACKING => 0, C_FILTS_PACKED => 0, C_LATENCY => 14, C_HAS_ARESETn => 0, C_HAS_ACLKEN => 0, C_DATA_HAS_TLAST => 0, C_S_DATA_HAS_FIFO => 1, C_S_DATA_HAS_TUSER => 0, C_S_DATA_TDATA_WIDTH => 24, C_S_DATA_TUSER_WIDTH => 1, C_M_DATA_HAS_TREADY => 0, C_M_DATA_HAS_TUSER => 0, C_M_DATA_TDATA_WIDTH => 32, C_M_DATA_TUSER_WIDTH => 1, C_HAS_CONFIG_CHANNEL => 0, C_CONFIG_SYNC_MODE => 0, C_CONFIG_PACKET_SIZE => 0, C_CONFIG_TDATA_WIDTH => 1, C_RELOAD_TDATA_WIDTH => 1 ) PORT MAP ( aresetn => '1', aclk => aclk, aclken => '1', s_axis_data_tvalid => s_axis_data_tvalid, s_axis_data_tready => s_axis_data_tready, s_axis_data_tlast => '0', s_axis_data_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_data_tdata => s_axis_data_tdata, s_axis_config_tvalid => '0', s_axis_config_tlast => '0', s_axis_config_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_reload_tvalid => '0', s_axis_reload_tlast => '0', s_axis_reload_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), m_axis_data_tvalid => m_axis_data_tvalid, m_axis_data_tready => '1', m_axis_data_tdata => m_axis_data_tdata ); END design_1_FIR_resized1_3_arch;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim/FIR_sim.srcs/sources_1/bd/design_1/ipshared/xilinx.com/xbip_pipe_v3_0/hdl/xbip_pipe_v3_0_vh_rfs.vhd
5
24644
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2014" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block bx24XPMbQl0ZuYgzgnvmK2UJsn5v5rHRrHaBzymEsRVRAjuRN3xRCY+goyOwSGiaL5BZpex2sDSK 2sd0nljSnw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block CSRfZVLMWm0HJLEB7NOFzWrGIhgXL0zMCnVPoqKjG5Ur0+RK898D8TnT1vzg0/m9z9AJo34CsLar 7ajBwWmQaStI2T7HakgiApYlcuC6de1XuIEH3rZRMj/RWcjpTLbgkrbMj7lCzKzQdvZHARVRsJHt n6KxqqDLGxMs1/m4zV8= `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block YDR4T6HZUUPDmkJ3uEF/8DG9RH1KIm/Soi0XWVOdqKCDBSgk2PKH3QgKdeu/Ygc+E4sEfsdQ97ZX ZNKLn57bC8vQMoMyVXHXP/gB1IkATHDtiORbiLIN6gz0rbLre/0AWJ4pnD6+ix+zJ2ZtVx7uSjJD UeDwmSaYOZQhEg4QN3w= `protect key_keyowner = "Aldec", key_keyname= "ALDEC15_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block b5TzJrebbTGq/pRucwAvmRYTRYSTXLJ31UHhj7qPdtWGaTRXaKbjtJHLK6r2fdEku+xRcQgb4iwR VR2WDz2dfhkKseFS1Yxa2DFJTK597UszihjnkRHDocjQO3cUY+io6Cbq8kFDe4t/wEf721IVy63Z z1z8RoAbpBZZGG1+seGG0kHDtkTe8wOMD9mRo2qsutfBPBsV5sK8/fmf9Y9E2sAlYwKjVvsGOjpr dIS4pkfWNQ1UbQXn1WlPTe4wXcRDxSDWm2NMDLpVsB7PHxXe/ma6En4gcBeXFN40LqU3TWcyfbF4 Fgd267nviONJrvDRA6uaiECsHX40iXKsaxsGyQ== `protect key_keyowner = "ATRENTA", key_keyname= "ATR-SG-2015-RSA-3", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block LoXyfjLEjXF6IqzWN8H3K7nR07wwyqyXVISYV16h6KsboFmbDcRTEPo0gH2rwN+AX6fpfnjiQCDi qZVj+jq+3Jpyaex4T6xZDGqASKvTFZ53Vog5975jRBzfQilhyEnt1jyw4Z0UhtEM8LILdgabJqA8 cXdC2MS8KixvDgzWP6ABnTAwC9pDqbLUIqs+coqVvcy1nM4qt9WlS3/X4SHWNrmKgZ5d/HUtKouY 9yGUMGTi2nl4U+Zd7UaI2yJjVCW8JLst+BTCam4lPyVXo4ebpoEbDK6tTwa5DlOxI45b/ZooNuYE Rpmlrdz/peCtaLTTS4+P11HF/WIAxGHuvcXpOg== `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2016_05", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block splRKPjEH+uTzvqD2tjFWmYXGYcB4TmcJH8LhGT8ueKKhMoa+orNkr7mpiSfxGo4nOfb4ddB5A74 rXupMEGR44uXFXmGFms0uV3Mo+LAVOswYWiSib2qqWdsJAVPQV+uS8kwf1pFIhgSfyhJYccE2+LN qen4ppn5nmwPuAnPwhqNoxWgV6I1SCeKHMvOOim/bGhWBFyFuI4F9GeL1p+BC2DYSvijB6DHJgjd lmuMd4WuXe78W//Vv2jhHriZx5nGgRFuRWE3VBR/38AWtMEOOrO4ijdAV2GyHZrphPmDHXfSwU6z 9JSFgLsD3Pd9zxwPDkqCeFOIFV991nTMDEBaMg== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 16112) `protect data_block McOR5osfN7FhwOeAmCNp580N4F+RByuH7EvhgYojFcBg/8vpIuQzG680sV7weUct28y0SPNs4e+w qQ9lTSMAdVIcIfpb7kmuFm1wYejIM+Am73O6WYKfbLSXCEK0ff7fudxRcaw1CHqSKP5weFNy/W3J xRHGYa3n+7/drRVlEUfoidLOwXLag7w3mk26EFheXCHy5zKZBEFdTDAySFVBOQMKnJuVkr7TSWy6 +HO0S3nwkJb2t/2Obg+Gx0YFDulb9lgpvN5ucQIgofgaL9RLMFmlT6WC0QoQ0AaSw7/55vDDzjDV jaxpTEajXxNZYkEWyl0jlU30mSGCjVvm5auF3L/r1FyUaXcwoU2mKV8EslyjmFHakpZLbqsULgTF Z3RCXvU0B3gSkWB45UlnFFqWlHdxAud9ph+KM9n9o0n0b4iQv8ZCmtvmffNXncTx1J2HG020+mz4 Cke10DSrkd8eQKWWnTa0Yidx/iULtNjVOq2PUACrwBL801bboIvFcqupEhh/fZaI2xiAGGJ4N/aa mU8gjWZ+p+mXH/5C3QrOdww1gXr6EDCOBrIjrNuqNvETCyVsU88lnIyyKpKoSBywYVqvlkT5g2f8 k72MoagO+tyPqA5fY8TJdVFc9ihx97d5gB1ZJxMFPLhbCb2uksKeyASA3+krMvdiRaoDYgs5V1vG uLzMuSgAY7IbL4Unz8FbU7yyoOM4I7S+bZXAdGq1COUITbk/WxmrTQEsomN9JtZbQ7650Jpq42Z1 PnIaZSulvU3KpmvKHMv8Rk7ds6VKtHbnwsN7E+bMmBTMhEW9owkRSXUC4H1puygq/SQFoAKVdQqz z58uDiorVDfwRTL+SmykOihbxcYzKv05VIAmgdlxlwPbHZqZQAvPataV8bOWaLAZb3XZ7D7r4ehK A4MP3YHhbrPb59If4o2XFOzsq+pwXkBQ0qo4X3Mg49CG/U0tp6Y2ykBZ7fpY0iOGTqcS3AVU2+Bj V2Yt0f4x90r++6CuqRuVFqTfGZtw32KVn+EJ/0Wnuzfeko0TrCb52SsI2Qotvu1+WfvqkC+vFa1r B05waKkVC+JDjJK+1opjXByZAk2otJIlOvLPAmNsOS58UQWdW58tBnCH4ROtQC3GoK0lMghVsNQV kicneUY2/YZ3kMEJxH1Qjui1GciG4aRExQXzsGax+AO94AXGSTUzEKJUZdW/KvVjqaHFhVcanjPg /umkSSh9iN1YyljLhQZaXN5wwTwb3gX0xGl+rWIA+AGtrgvDcoNNgnjdRBIr5/imM4mBnEHcazfL EkHeL1WgffEklnQYqiFyI8Qz3czhYwkFCUVAZDjj1TL5m8pBBkQEIlVWfg1pVubC34JG9FVTAhz5 SLtyVzKu0RjLXTg8eSW0t73SjaUtm3uZv4YlrpLaaa9Qa5Sh/Fv/6EBtRTjY0Z7znDHr7u9dyNfP rjrjdqR+S5B3eDWda784jqVebprfV/u81Od+HS2gWaiQZxc5y30Tg1EGAumXzI/jwRHGck/4uUBn WyKLBuHA4FQi6vpQkYDzLzHdskCuXoZ9Ovn8ANicU2TwDfqSFAue0Pb2adM7Jz2lCQ5kWkeSQXsJ Qw5cBwWPsdPtnxsn8g7EeLslxl/TS5iZwt3NEq3MBheVs8/s5H8TwA204ok3uz2wNtajWvZBoYpv BtVvFop7tAnwumSIhkZxx26oC+RhM/tX1osNh/8rMR3NEeNE40iBIFWy1TY3/btmyBdpFGtGA3P9 0VaNky6mopcpu8fUT1vqkiKeTSfwRRjjvspmn9pmBbeKLbRsDJNDP+nywudJvyj1Qg72IjHWRiKM AGsSFzW3upoCS5pIWmF4VZEkRf+TNeUTF4Tk9VMOoYeHZciTzFCr2TiWBLBryxPofaSZPLhlT3Oz b0bAAHWDv8XBvLj7wqlN9fAhk67AaKeeziobtPkcRFiUighBBdUBkhicwj6yUWjTmyv23SAa3/C/ iOyrPAYtyUNv7VpVzN7YlZDmK/vCEr8dp2pXm1XRTZNGiVURwPHlC5ESiN24Bw6s36ZHR+TAH8PC AMRqKURiJXAcUIYJTmTAbekZjHbT0eEDiRQ8j8QIoTP5joiNgmfP1HaINTWJmi3INHBy6lkrq8k8 Zq+3rIfRRCEqR83tS+v0/XA6nCPoSKd3tmWknW068ye0Knpa+Bk1Eu44DpWqNXlAMpdq3EeZLomY 1ksrvZM3mCU9IMCwFafunPykHepD3bu6C8gtp/hv10VD6NozhoyVADUyikWml4+TUvJdruQOpfgx YaOPSVZVzqyQHuhJFrhtVKso0JtCHqc2lJM/67p9G3407Xcpi1hobsToL3YlmbwGmL29++Q9bff+ O+ftK4ym5W4N6iIUeNObuD2ysUJWdM60S0GUeq0rn4NGo8gcxIJvwpNW6TL4v3lW0HpkVSQ/hhFe iQz3MmUu64ESBFwD85JuYkKyy3ZASkZ1RIF+XMIo8ZqPQ5bYnPrTlm8JmemBo6qMDaHGtyEJkCJz e1rlzO1y91YtGvOaC+oHaVCzP20rKUM/1tYWMn0gMCPlZCx8LPGsK5Bj3UE/4wONrWiRUBX7E63v vnRD7IjnT57Iog8RP438SGeQCzTfIyaJxGhk3UKSZ+dnqafULID26RoyXCzJNWHYwND6XJSPfq4p qhlgkR6I+gEWIFkgIfFJJjxUn81gs4PDRkh/xLNMSLeWSSfPrj3d0ZtgK/Y+qXEOZpSGFMec/86W oNh0rTX1HI7IgLOzcD2A76QIglPjO0fJPIIiYhy+41Se+x8A5QOdDQp84fDtnAt8vulhBQRkQgxo XX/XVpgl9g6Q9Uh/CfoFD+UQLdVpbv8+5aez2YWYWK2IO/hVenNWF55+eDfy+7WXmNy+/wT13QZr XbB8crEylPIMfap4Aml3245O8gFj24uCDUYdzyt1Zsc87tLR+LSiPdi3dMJKfhBWhasEcwJGkJ6J dWoN/t6oabIhNQSPyRXspq4RpggkqvmZE92NeFXE1bFZqjaGXZIUdBoPkPg/t55OK5T+cmkoBx9p jWSP+rW7j2Lfz7znAHtE5tOzL+tPU8+vMOWxqqFOC8RCtqUhLg/uGPnik1KAB0KQu7ulMku5mUJQ /54VZRLTkYYpfXd8tGDdNfx6JLX224bWRq9n9ST7fSDLTUG1cXhF5bzKHDytU9ciZLrpMxMue/ik XNKNP6hk3E0M8WntECm1Zqk/rOBhrlrwujcDTG71Ror4J4Jp97scLFFaLkOyoc0YKdCh6dD2q2uR 4POnSrMa7v2ZAQah6HKwA8LAK/1UOSpzlq/DHf40n0hkZ2bqVq4gE/fy77LBy5ngwu47zFlWHk7u iCcM9c9P9Qek+SR5UZdGAX1eZZFHp1CxzybYuNCWmWoifm39DaaHnzk5BDsNG9izs0Z6AK3Jickp 4kf6zOMmgBauFn4WNdK/ASM47ZgvHaA8ymj2iKnJrKF3Z+fiKUzTzEgffTNmfXveK3COL+4i74gi cbKDDhYIrKPIbIQlT/k18l+ZdoA5mIJHYUlSU3zEtkjtuizMrl/dyMMx6jeQBGMGp8QMRi4QfPEM xh27RV9UVs6Blqg9Ugwhlq34LlqjzWS7pRK7Ct+fhjDUmGF+Kqw9irQQaFU/po/lUfMlg5vQizVo oFzZ0FwDddFwNyTvD8Fm21bGXl6iFtHqf6ePngKiTRdve2N9BvzcAUCbfO0iOp98yWURkC7+NUl0 a5J9JVZLuqwCx8oIWsd542e1CJ3IZsjjeCfBaZa8gs7ZiWkfp6jbnfokwKB/yvbCjnnZ2b3gGwnL XaOfi/tWBNcZdwIe5YI1fUu1gvTxMHSRoyx5mNmkoII0BJB4YjbbzBZSldhC+GgtOCbINsUUdrGu g40QQPecAMyQ/qRn8i9pH5KQDslrdDNcZgcKG0wGr5+rHr81BJbmEzy5wSB1GIuiLRIC24U1ZoFx ftuqE8jA7MjEYNRHVQsdcy1GtPIR7ZoFNFwmdRKgNpQAjAJZ3Zyqd0IOq/Q+6Yx4jAWT/XF/Ndn9 qNQiM6oC+r/ExiMZetl9HDNP2mf1BzXfO7Z6Mu80uYa/7qOe5z993ev37ttNW7GWDX2+ay2Lq7m5 EYRt6/WYi9olO9xrIYxz+O4tkffmdFWjNlDlUqDZ6xZyrcrpSXt33MY3vgwqewBroJ+1iC90KhWa bfq4wLN6E1vMdDBSXg57NZL0fx2uKrSI6poA+fBksY/5lgWvd33BuygSUzLknRd87ORS+8rKeOJT ygevFucLl+P0J2NtKgjBziTTQcDRzvAZDqtK712wLLH/syxEeUwR0qi0wxvcYi2vtBF8Pmqo8Hjf v/u3FAJ7cuaXhQWBcQ1nSMYnf+x83pE7lvf/q5MoeLhmAeLKlX/bKHom/dolVPnTWT2tFyPBduH1 X7rW45MQONazXtXt+nr7/+b5mYbCS66YZ16fzGOc/5wgfoEuNkpTZLZtDgF8RI+IaVkG0vSfwwEO Uwz//aK1UX/oURBltzsvV7UZUTe5EWa7MRoRBx/EJO95NkhLw5wJe1GiaiRcjHSJUoOepfZifl5Y +1aLwTJQlrP89EvSDPqA4jS22cH6FJSTNVhIsxHNSh44c+8vo9NYFXN+W12zwkubnUDoqBsIMnWA toNERGmdoZFF5nBpTHK8z43X73XQk87ssPzd/C8zptQEjEyQro/ddpLi3lAN76IkjG5MOjnnBcPJ pcJSocCJCAIt21kflMUGRrg5O2K9ghJAc/v75aeD0xdG4aMBiGQmz8XBRsJ0wcRv2Rj8NPJ3KodW C59voe3aARsjuhaQdgQ60rmsSgPUCgGyyv2JJmiNKT4XdOMCIVuzv53+w01Vp43vlcXVtezxYo/Y CQW5VL7yjgpjiOEY4U/oVn/ZS+qcwC0vU41Lp813PvN26n15hMzZpVOB0Yy7OtbUyP+zaGGeLINR esouHMkTLBcYk/L6pjsMXrWp/OXcQD9GRsF7UHkk1geg2ESEZHw6HhZRUU+iQPj1bFwbNdDOB8e2 Ir6hxqOABoZVJPLNqRfdRczBenXnPDh9eiogdOmtNvdgjN1cYjQ/WtuW1X3B0eGaHVGexLAXUskT LpEITXDwKJV295WWM23Nf0FxxqoFszC20z5t+9puc0FdftScMUd0tySXJe2lHptVyFuUubmYNsWY Zf4Qa+j2f0p9g3FHUQb9DH0cflLlq0ETDLynRMmQdit8Gfn8DVzzOKci0+JiqgAviCsulXeM56nG /nNh7WLu9UcBx21txluRrFe5iyCEsW+g6CA2tAAjCr1H2Z99YSH2oESo5jEJhjJy4MFvtV4Vq5iz +uwl+yqk2DIXSzzDSN/7Vau40wUOWJXsHt1HLzbD3+7BFhHt3VRiNzviPsTqOT+0M5e3mYvZ4VLF pveDh9pjPl+seyJvZo+++vsdMiX/JSEeana2ahvl3JgI0RtBVTGXFMZgUtvcgBicBtXXb/K2nvNX R4A8EqmuVRQ2Pnwgl8rdkGue5RrHQTitHX7iUB1jIqiH1JujCJUKh3ktWEQaG9bAGHBXjhq5R46H f/uK7ItY1yoSH2eX0f57WSw3y4U2yoAn+Ml8KxOVF+2SbOD6umVJCLC/2mfSsjBNTtNWaqlUo88J OH05Dv9MOArF+4WnFjwrcdnfFu4AAWd3gkwt2CzwX/8OaiutUExKwrD5Y0gq+o8Q/p/Zaa/53dkw qRfyHJqY6S+ysORkBi0+BP7LHOVrLEnL3GjOxJ6nyITWdxi7VsCHJPOOXNP7/rzrxt8mSI6KkkLe 2+r/G6hcPW0xQfr3Ygf3z0CrqIW5HKRGnh6hdJL6tNqAoh47830hJ3tq4yFfuQLVfEqRtlfeB/Ac 89D5fYk3bmpVPQrjVfMFE6db0AbxYWQruoSZLPYQe+zycoiL2m4rRHMvMgNtr5dxx9WN7TVGq6Ij 8jWu3AivrDengCFLxd80k1qZbxlVaUM/yzY3sE/RjrJOEJBzK0eZNdKKFggVHuWvXq//tYZ7iF92 Lb7CW6ElGXxAX3n0GEo5dvYwyXETqMSkS4gCvGRzrcF87WSOJ+BJlbW9VVJCyItPI5ePl5fJ53vd PJarpwRwVPLTSQU7qT8jPwYlujNDZ0MXi8syKyZGRSVILJwRDthINP98ck+aNJk5scDmlJ2d2D5+ BQodpO6Hm//IW5titXq0vAbLPdPUSXhMLEQZTCsVtJog2xd3UYcSqZEJUqP0rCPO5rrpIy3tvkN8 p3mDfO2rEnyzicfIj7E3BT2G4TZPtYTIIptGTJ9bk/prx2kKkEeMfUvqBIZR9pcwDeZKbPAKj+Di kH0G0PJXQ26foVwXsDtqD2lFvdcGbhhmSzvfsSI1vVF9dO7CvgfsZBjRqTUDNvBQoTWuhQjfgrQK QxiELPtGts/RY45rOMN2gBM4TjJY4mcj/HHfMAk5BPNLeYg1YPvO3Kcs79DHUtXpvf/QKspqVw0L vaRiM21vx/wTAJxg/n1zgO5/wACMYOJGtWI4cna7+bO89J6VR+0uIRjJ4L3rUVFkEE586D+lrIgW eXIAG8tLeKPJ6/xs+G14LmK4VFkkSmukvdDzuFRbB/44ktjoipmZY7XJA/ExDNUZnR8pK8k/tgHr Q8vqbdXwL6dEJNmlq9D5k9pbyGUmg7eLiqJAeelKRrNKiTe9lcMoqSqUCOfm37mPM6eqNiHstBOc eCc1yjF8OpUaE96thnXAjkUefTqFCM40nEZOZKWjkYlvRFx7reG2nC2qKJCbn834SqgiCzufTZZB tWKlDY2Xuh/RxTI+r7RyDgsQGk/devcqeclCDiTB2W/p9l+nYbiUkoQ4msnnNXg7XhXurW6gsoE2 bQmb+uWj9zZdIvJMuNgqbM6mvPOPk21YV5ZPeUCBPNtIgtX/CYKJk+d9CQcfU+qO0RoePkspGfB/ tRhOB2tTFIAdYvsYQe1KsPHfCrv6Vf/WUp6kHDz3jJjLs0+F5xz6pFzhY3d5tf3ehEGL1pdPT8qk RgASczcWqE6COnbnmHdV7loVnrKpakLtTx+SCpfm1Lffn0MfAuBNaKIKmQz73M9wjg3NyB9tH5Pd Bv8JtHjY227JmrV8qs/uAct5OpV51BZ5k8REco76KggCnywZrJeH1Wb7YW3PM1DPNX2qDlBexDhZ uTIeJURC55sKJFE9i8Gm0lcZi+zhN84cutqiLrMcDZny5NxYr00jvfJ1/HOSPqAUfwKA68nkcdXI kQcgwLiscPbwMBCfc7cJhNrjv7vsE1L6ALalvruwg08rqm8xYfvHVpM5YGudG1X5fxZUnQQZBjXc V1bAF2iSMe461WhczezdElPfEJ+KdlZpK6i9t3/5Z58SFHT+tE4rD3SmgKjnjCh7ary0/d1slUux GEeLkjw9A0OJKAsRZBgPgTXCnaNzGZVZ8KWolCmcAQwNy5ZE/wxesl2AQDObuv6JlSzHw2BdH2Dh rmzhQJ4zD9UJrpzqPt4Oy1wvPKyJBpqdasXZ7uwuBs0Lj5vF/aP3rMptVFuaYrgrquvOWsGd75gO 80qI5tgJilvJ9fVjNJrNYiPh4DvoF6jzOjRZSLVjqyMZhieM6my5zReMKcqGS08c+PI9jk9JlyPM VvW7N8NYTsCpvFsR62kmT8CR9a70UhhMD9w6NeY0ULKEnqa00whScI2Tvl8HovWW9wUdBrVZlB9n /SzmC4gUdhWhFuab0akh7V55WOPM0RNdIdWEmA2sFNrdm3BjTXlbAeEnxPYjsc4Ab94saFi5e+PU qQvuzucDeux4jaDJneebe9U7A5ifhke5iiNGKKwAA3V/C+DiQzhvBcp826tTHUAeWpmerwCriYl8 7OxAYrZXdgLcu6SieAyCfANO89hBhheHEPJzwWycT+T3SedMARi5aWfT8EukgMvKOWFtkvDXdq4l +pw4lDPDm7pBtm12+mWAEo07RBDaAZ6MxJ/ykZe1euIN7SaoVeoTF687iGYY6DrvsWRjZyI0OBJ7 T++uY4zhkskyrpBuBw29K8UhzgFrDWpReO23UEJXZj7bLlpwEo8dBozfKAQom6bFOfcu4ZQshs3J 7TP0itWA6sFKOjdKWbaroS5L2+vzyRAMEspv3+TPOI4Q3dufuni6U7+P30pMTsxU3zD8GjAQv0Ss l7RKECZGy9Z9tgeqnm50BZflqeJDxHSzt4ICqDrf13fZyWC2AGDiPn898TOWndE58u+Zw6DH4WlM rDLEi1ddF+wR9oY7J36HVPxEHGykkk2XgS/Hla4uaC1YiUGCZl8PggsnuMxsP2XGI/F0rY3i6c8N qWztOkSTj7pWXJhH93MfK8BGsH2ZFmW+sMAh3jxk37N+FguIin9BCCvz1GEZt8ciA7X0N1iH4C67 lE0ibUD35MVUfDj75JjOrhPMxoTQKORphC6jBi4qatGN1KRnYnGr9pxDEVAU0p9LXfIRE6qnUM/Q kGrpDDlBpdnS7omC9Wqh3aIOOOoXv80qJamYGcy4NkKG4Jny9oani+hLjQ5Mh7TpVOJlIuTxybow EcfTVlGMEem9vUf03+TyVFGh4CiO4Nxc/c9Q+UICWIHCDrbG9RyJT6i9WNfj1icolLSvuEOQ+n9d rszSTOY1xMX32yc+Z5rXPZSOOMy8agyTbkka9c0cL0aNBD0bOjTiuJbXx4gR5lGCDRCIhfleoSIo hqcFJBdUQ2Us2KGPEZwLz0apq6X60TBPijb3JXhYoWPD3cUSwmqouaWggI4gg1fGfeE9gqrT/Sgg EU+6aF4ccjM0FtytAphjzTK1Ud2UezjoTqO0Gzl6o4JZecfN/UtQeXwha+AcwfwGdK1sknumNCQ9 LLyiZ5H66kgKfEOa6UNvYnIWTOcurww+CExwIX0lzCudzEZWVAYzfjLucIzw5mQu1SK1CEISrkwA l07Nhi+UmwkP+sy+xDCZF+4pPL67SZIofxEA5Ro9P+xVWI13DfVMYM4qC+RmqMh4Ym/OxE8j/55B rm2ftKxqRDvhG7YQjIQU1S+g2ZuMBA2eD8ajBhMEBPsBgOKRlAWS6CP8URq5JCgtriVLt52ipApj 7Mc8rx2KGtqDU3qERvP5jRFjg3Wi4ipqA6A8MM3ERmNYpDRe2u1dUM3EpQRdN0N2/78YSIjBwHES HsKCc/lUXvISI9u+mEbpb7gCaGugsv9x46J1S+VL2Ftt8g5LHUt5ynZUFvShbRPqGv3EiC07C+gN RXj49vCsqaOMweF5/x6n5h8BSY8bMXgnkCAlglmc0dWLdy7C29xFEO1UhOd26r1oK8oSX/XlbDZx LUHaPyu9gSUrc0dJI6rqaldk9/egkRXJqNuxs5LMkaFJcAxeUxpl6M5ssLd6VFylhPDlSajullQR aGWYNnq/tTi9UplvQGNBZ8/qPErbFOnNSic0OD7LCc2FujMx2FgIlLZaFCOIRTgWuFKOMotY1Ddw NXXO4Y+Wqvq4mhtwqOi61FVS9r8hD+9DE8tK4ysdl+rDdZ92jnjoC5Kl+27RfWwx+WYZGblfMvAt Vdkvp6T0hwBlZ55CkXEGwEjtjYYfUGl6y6AJiE1deeezHG3mD8XwcqfukMMgvm/yMc+nwYdx0Id1 J8V65w1GVAv/ixI3oDHTC+gHYtnwuwuHXamV5F0hrfKd8BoSEy0Z5DqsK6iv/E6l8a+qiRs86Ypq soTRqdrsPTNeDDLM6lT/DFw9XOVdbjFGqXHSAUjbzGU6ZpQJXhO0mzR1W2v1NkyidbaQsVRK3Qph dIjLmh5dIFgQa0sICd4LxgL86AhtXTPVPAnONBCRf/lGCMImtyvZWRyR9gelOGusnev2BL9rCDdX 1bGIzS7K58cdDyl734dxoQPCcs6RwfLTwoHJFl0fHH3BIaHS1bqYEpFk2yGljFL4Af/o/UOWviLo aitknySZj7LtVyLZzxExFSXUid3DLc6EmOrdr1TSdP85h9T+0lwPDw0G8CzjArQYRoKK//wGgdRA maSZcnV3lHZkI//fguepqqEShfwWZ8wuoKdp5/fNV94WwLIe7epKJimiFIXR3/U2GiWtKuqn/2Px ATCa2ibZoxqmcJb8r4aZBodd8iiS2MwJBCWI9Z0b/W6pV/Rnq+MiIhqhlxyYnhz6yjeS5iTx8Chb ZJf2NC76UGggwFME5l/zGS7rjCXLikPYNTohJmn9C8xKglviSiOIGtDijtbIEFAsOuabUq7nI3OP iiYK3Bz+VxOLvVEhZ6KmXRSqBrYS6wksny5BW9ps9XGZDyZ8SUj7DdYUrFyp1Il/QvlaiqlOS9AQ r0DFsan2ip9jwcT4KWnrTdAnmafsRbF6EE8CY4OBf0IBzMVvFPd+7iRPkmMvxtd2RG1+HlNIEw2t BjW8h0rAJB+vPixyzBW4pEgO5W2HUbCXKWDTZYN78ziKt9QOV0cPg30Pr649kn3/7MJxva/utqMg jQsqZjc36RM4ScjmuviwvNU3A8LvKnuJL1032FZNH2oKAt4itBniFq9hElWKaR2y3AkejcbBkz3h 1En9/pn/6kXuEYBbFYCRRjixMqLeYqcf15MnsfvCcuXfjwDkTpC/6SUej4nSVTJ/7yVWsT2R3NuP OVFNnoGmUxUUMxgbWQt8YMmcJnyAD1bbP04IPPghj8S9H35FYdzxWjDD23FACXAubA5D7HpE4O+R WntasIaWUaQB1taY4jUSK/tXfDE2B5wFfMXi7b4QJ257lb6T4DZbeAHjx0+04EhNuow7PO5Xis53 P92Oh1XHH5M3u74GJjQwGVNKqDY562QSSWo9J0VogZ9a6uWBCVNUgPJH3a6OOnHis1QsejxB8Ok3 kZ/IdHhUjWkhrpcHKJpYdbGg9HUOb9qH2V2OACzYSDwPxy7m89YuB9qtXkxWhgToUVXoz4rLeOAr j9IhLnYF6YmI8uq92+ZObzO6MYGtz+W/Ya0YCQmIUsIxepdzP6odnEflK30CR95VS+5TSDIFg+Tp Vu1Orc/0BlCuusajd9QvWdft4A5nRcdRo+f/vBsk73H2nSGWP7SpGcgWnomINHgsMFduQGXaj97d Ep4nPkhGaYb9vBYk//CYwcO4T0jdtjjegw7AEEUuFoChE7RPE7ZE1xevHeF0QmiqYXX0PHr9LpoP h0TuqbCJg8NRsNxcOXnnhswkxmBDaLZwLeQ1xEc2Oj7dBflV9vlS4dKknN2XXeCWWOp+R+Nd3R9o 28/nXfrofbyziHWpJ6GXi8on5Mqml4rgWxRQmvrivat1ElTFEaIgLFQOp/9tPyt7Pi24EdcW6Nuq KknqhIqrBRa1NOa3NfRE3LK8kGJDHeTMuqB6MGF3+Yby7q968Su6To545lcM4ot1+HeJ8vRw4zI4 ihoIt65AYFkSRkmqfmRT9pA1MU9jqw1Bsz8+iDs8kXQikA/OdkxdxQSuRvLWLM/CVqW5qMQScQDt Lcq6q1AuyyVT/VFTCs+ddp0cad6wEifcImgh0Wl2akAB+xiXI5Pdc8RSKfdMuqgGCzPKCiX7nuxb aqL5VFML9Iajqhq3E/GxtdHqURzukg6lfjHHEmFykyWWTEhmlk0wJHuTB8hO7Ey9Y0LnooODjFIh kj9dXz78ayNlG3qWnxg9aIe6LQX8Nf+TdqDj7ijPFUddqOGrIX2bgJXulyRL/xQoVHONXCuKBrS8 UrFpNv5UgBLp730Is6ehQhZgpNOzt3tzeEae+cN3shslrKIvr3ZxrcoZs6mjZamIgAo/NhB+5u2v UEE11mhCrCFr8vixva9HRoL+ACdnDYv5fwQQ24zsd14ueUrjCZYNZibTcC6ugsJHj1ISC+HXqbTy CQlrj+N3yB4JrkgZdDCwPEP1wU6qReOTp45+sgxhFOQbWzE2mG0b4X1jWofxvglI2L3H8sG8ebQU sH0bKFoT4iNGp+M5JLFLJe0Wmqyo85a/2tUiMWD0gcZ4/bGAOXu7YCrRz+cWm4V/mpNRrtGjhunl fXoy49jrpYdF2mAPaWp3HzSxncNWvGbYW2Igbb1dTmiCiuxHXVlwZxzWPrURlVZa2hHlq5ss5SKe 4OVNb4uQl6UZ7MP5fo/KjwrV+SlV4kuWbXbWPpZZ9fvl2rdB4lJ48XBBFfEZjF0UyRjgnvXsCZwF lSaNhFBRmsM4lWSVFynbJNKp7eUowgBO05wqs3QRfLltJXbtpuJB8Uore7YUtFrNMtHXzcGhH/Z4 O3stea7YVGAehiDmHykLQD2pjwTAF7q3dV4GtCmJ3ux5O6LOSU79x2pTnbvJJc9ZGpuWcrKPAche JFPJHDE+dG31VwCLYPOtT4lGGUEppwBrE0wNQosTWkvAzthdrxoF0LR2vyvAPwMYoaSqp2z29VaI CjVe60ETUc1cQ/rwNw4PWOVYAuHkn6c0rFizcnJWWZb5FG31rqJSqfkClDLL1LhmjrasdTu7niLA djID9DzX3PJe2e1QKZm57pFLws2q7kKXr6t35XrBC8tzmudsewboQazCfYeDNifOgkg2V/2phiIT MRr8FshOBVCCrReMulQKi6vV6eZiQsl1bMO3lixK5kaYckRuPgMEmtwbXi7FRdbZTHaVqBZANAwA eNR/0LC5QjvIfS1LRskYQfXjnUKQikyygPRCsBJ+fAKB2bqSMEynqC5PlEpXQBSNl4bZV0Q0F4IB p5etA5fXEv+OdQdEP9oChx5TNZ9kBBGpoTevlXv3L6vkv18+xGbNxNEgWrpEgT/dvEE/edgnUaNt 3Y5+k+lZ2zSP+nO0t4S+xloiQaBdqJI0IW29yCTzUYWBMHDilqx+qWWUL4n65DLtAo+hr7Knuu2O /lQk1aqAWhNTkZd1buJzmHBxUBaoLFBjoWj7nQTshtGyKVvOTfsvASnkl6z1v41ufyXi7xvNC1+4 pqDYX3UenFXMHXvNNDmv9sqFVq1qqAzUEUxxxU4l7oIuSM69NIhK3WDrz/m0P82Msw3asL5QNKIx dTQxlJKLpk2Gkd01iQf3IDjj07BwON/aXBk279ljnQXWXHBVdNHQy0TOFj91QJgsUaWeA/TV5I/a ACmdmx+PiycePKSmdn0rlGsDzvZVcY0CasfnSoUoY/xOQfskJFiJp2GU/HNgP3gw17+ItXaDhNCe 5gefZS+PRl5XXnk8RcYlH/2i17peT7fcnsLukHneQn+p6SOAi5EgcFM2x9jWUt7Vk2FGjNWtHJUY 29TIIcyKeWuSQNZu0YROVq4Uj+GTNDlcdwZMz4AuNrZdOF5QHP8j3SpvByHCVyGCx5QR/7C7SosC ZFks1KOqDgIaTgRQd+5+C2hyV+P4zYRMaiMHqphyXJHnJ+JafKovjXkPs7IeK1ttyDhNfziDTLUP 7azXbuELE24TW3Xfd0G/YretpGAtRPOMgo3TZcWbAaUUObufv3Oomuvfwi0rzbOQuvjgBaRbSpwn qS0HoLfQ8l/4i96zPmnV0JX/ctm+rZ4rZLEEjBJGac/lzOsngpiynDeHICPPqU/2lVfDl9oB2C8E TPHAsgL6OECZ7ngKhkmLraAWLbs2Xuxky5Jac8w0mdNyjmSVi1/6l7HQkzSHgzc6HoAieu2bauNE NYh/pOBejrjMxQeh8023SmaYk7QGujX/Nv+JggCuV4ylcIOHK3sM7bUkcb9uPZGekXx5g/QH5If6 xzCgjBkbCAq2fHtFB56nI4mavUrVxXJPuQ6w8Sr00qNtVDlzpuinUmGRczolxFfTSYn8XGuZHGgo GZseFFlbR3zgufPL6KKE+l8GxGP9dhEmIPEyzdmxwuar0Ci/VkhMmSzPFNmW0UU/6ZKNbEYWyJHL +Kv0E0Pzp9NFthu5AHl2EYM/GcVmjnWitqP1qGRayKLAEMd/U6v6POnvXtUunBo4YPepgqyqb/0s uNLcos9kXJWkZgVckFj0Ue1KPMBO/yg4FTfwLf5xFkWSoPmXMlahY+pi2jPy3Synzv+JqIJ/OZPE BZWk3Vali3WvwouGv+zAMSAi3ELrAbkC0D3Gb4CXOn5oxewYZC8nfZuVWGy3cbVEA55h2mPnDCIT UjjfiXhtrsXtHckvfIZPL7OpL0Es8hit/LnwSRAEowXITS7NBJejta9tRHgxa/4rTf9x3Pt7cFDx uyP67Ut1uP5A69JW6FcdzxYEwUB77xHyKFxzi388LQyBoTh+bTPfu/eDVDCS6PnhWTjI5RDB17Rz XdG3cSdnw69S2tXk39HT8nylDpuMhyeTqraQVLq6N8zvBPryLrsvtsEsEZb5wsQnHTNd0o98AKWD ncR62JQLDGr9AG89E76tiiLUwC0AwO5yFHwtgyr8HCisKrhWDTR8q7nm9HWtTCY098liMpPoGQWT A42uBcRfyKs5wwQNWGhOgOYngfKWMR6KRf1YBMFOCfb2/fquWLQQ9AEl+3os3ao3vlQeiwGZVLcu 1GD8JRoTTxgcy+zoaJGmst4QM58Hnkwy8PF7mE63rf4IycVD2z6d+gWBjJqSO9T8dWh0bAF+M4O4 Bml06sbzvf6YT/5W+praxRlGpesDNEYXtL5atZ44z/WZG8JfQN5u5alCa3psyv47os15VagQkZSn WQD9WpLmNJS8u4fFSwUWNcq7kOevOV+EfI7/f9m/dMKDQnuC/jxLdfoHz9o7mJkDv7z17fRn335E bYURJnpbangehWRalN42CKmUooktfE/YJvSvlM3Y4EpOwuKX1rhLG194BRpSMcwhE0y0i2N4ifVW cVu0hpms92pnX49eg40fCWhArvViw+OxpBSVkAqfvMODUqzif1JdnGiS2dV/IbFGDlOX5iTksQCK qol0pJZCu5v9JJn4Ecu+5a3WuxJ/2R9CTMgEX12V7rcbuIfcumXrBCyzoeI5n8rFqmG4CIzhvX+H p7Y4OMUgEp+28Ux/jt4jlipddcfBR5v4ovYV/bbhxTx0SyUz4IGC7tURnJ6MsrU8T0qxvy0wYq3D NoDEenaRup1Z3fF/rb43HecphU3tMp5+HfpsGzyYWG95P9J/29Aoq38Foqq9CIPGkvDWpBTSRXZk DnFgBkFUNBuKp3UBpFk6UH8mf5sFgmJait4O6CX+bYImnyTiYtcuVAedgO56kSZMHmKcWuxhhPMN Dt95h8N3j3ZvY1fg/pocpBCVMa/QZzAXIlVqbc4v7fjrlWo/CKLbaCvGbXY+L1qupP9dE3Wc/QXw HITHMavMTZFhIWIDE5rTam55m1c3vLmrpD4f7ov9d6huFtSaB8uq/iVgbslvY88Ca/nxDrxoTMfZ GaFL/98YCOKS7/s1I1Ikt5y7fJ3iO5YIi+mtMiijeX2g2zEo0gNG6UPY1/fmmb8nRUEdixrbVAwR qsqFpy9WBiewGX5ZQ1uFx98AmcYmqToyOM/TXrlLtKI1JNIQk97nWX2Vwtxu8QXGsQvdU8tqV+V3 yZKRheA9qH6nvHHyO5yBsvj9QIsbbW3rUlMhLOsYpfJX/XgLmfwR6yaN6B+4vb62YY/IvS/4Pb/h p207MFwNnUBy5loytVSghkoh0mw53IojR59D+1cLRAqdAB3Tq0ozXzzS/aJYawHuZRXRrOKKvpoy E5FAFoO1ppGAT4qkRguICf0vFwyCc7ExTEsHkag0UR7wW6wggjGEHanCrJgZ/3NTQJGDKZU35kzd FCO3DE7kXMJuxZzpbE0pezj8v89A/xiGPE2/nTaYptC1oSHSRdYORDF5CM1U42IHRPZvqhIDfoFV jM8w2JRNi+TjsJJXxE2pUhmm334eqWMVh3LwYwni6GaKVXwHGVJCPHUwDSM7iMyV4NJe/1EAsMg3 ZCl/z3CZe7NBDLddFx69zHyzQ7LOr8Jxcw5+sbnHArg/hAZJ4ADQqeGfGZNN/0igJK3O3jPG9lbn VEpqvPDjPXXJCgo6bkiEqJefPzIdDSXJbSBT+cVZ7kr3fSe9S03NplkBCMbhFKIUctwClgebsBsm IMKjRbTHkjbPms9doUfG2XmgY9fY10oDi49a38xY1YLxnKRxK9uhoTcyYTUh2wqqkpXw5Sl0Ca97 VlCsT+57OhW3B+AuAIziLXxJ0lhC8UOx4/5IrDDWDFIz3jSPdLrCTDKnUkrYrBRgLR5mhQl1Gttv eUnxgECqjTdVZYfu1XJ145G3wf4Y/UGDJ55dCUpUrBltN+dhQ1I1SaIAtEO2c8OVTpp+I0gnzOMX eg7q/8S8X/HZFv09PD5x2AxBNqdUMsnj9ReQJfneBSqH8L2KgnLl0YOIr8jWJBF4BL7fr1eDtAEz 5/lSGoq33YxxpPd33k6UJpTgfavmTd/holVnz/2XosEbU5YgmNcm+z5u8OHl+Yffv+rRnLElxJ9m HbbFKg4KIyorwLe5Wc/jHrUwBxtUEt90NjwelONU8vHnqAHmNoF4hAlA6LuWAvieSjqq30Bw3PqT q2EcyilBqPrtc/0nhYWaQF1Lr48K/ouoRpPFKHuKlU412CyQ/2UEYouvjxAB4fyqMSloR4aa2vHi n8dZtc0hZVVqx0phI5/YDxET3T1GyIMb6n82zS/QXjxMxyjEND5L5rHlI4fhnMXyG/+aoTVMw1+P iQ/x9Fw+4RNIosHz7SJTGGqL9gWDgWH87ZM5QA/rD97vUMMZeadwEOtowEBJ6QLZ/KwBnbzSBpAv 5IeybrgWLJCqhJe8xtuR0DPnrQ+6WjyBsLOvqngRaLdiWpMtZnS/c64ghUFFJGelAITdymP6WjMH bV7z6X7fY9SEquxSUtsj95xSdEPYSHavYIrSnLmvqcc8nn/vOl8NpWeLpc3M0UxDeTc4oYR1ZCJh Vct7q+FpGA5nQmLFl1jGdn4WSNEFimweZhIbByLMEt3Cqk15QhztxncszvgaRay0f2FXopp2ahgc MPc+2p3I/adsfw04YNXo9pn4A/oK0LJHgxBLH08XGeBVmjT4/GRC5dwMpOY/VLqprssShkXPIvU2 ic/8/pSXJP9+dVPToDLK1SWweLkFsB6GybG93NRUltjbV1S9UfoQZJMdzSog0JRAkWagDKOsKWPB hB3kyA2lC7NqAp00mWq1QaHEVNXl2kNEN/hIv0Qz76rXZGcqz0vDtJMW86j02P219Sscboq3fB5J msfs8rUAXXevm2peMhAGipbo0GztDJ3ylZ1S+pDHc772oi5Uiz18Rrc3kyH0j51vd6aV9mKq6OSA BsfqfmJq/dz6c53P5cen3P3veh9dtcM3x9Lk8z0AACLQ7qonqJnzejD+fSY/EEHPzPfytgrVzslT IE3B62RYRDnLt3HGT3/S0h8UXZNT0/DuWSFwZ6j/njiIwkXjmREdxLPUnLk5Q02T4RmBwmjkVXhg wtal4UNgY2Ulbq1d/rr3c3qB2EIJy1/oHCMcsT+Jg8iTpKdPjmWZXI89A94lpLZrxLNx6Y2vdLZU OCUKgMLoCORBc/TtcXllpnVlqvqIr5/ikaEHsFN9jeEz8MqKgpM6PFYMzI4Yl/dZGBVT1S8GcuLW jyn01cblCWzY2F1tur3kHDegOWPR0kxxlkr7YTcY0ZZzaHIGXz79jMcXbql8LSCYXuhMI23eokJJ raxMDLx0Z34fPinslGSve5H8DSoP+lAvIhDQyEhusXslzI67dT1rNjRrFpfd2menk2UapJyzhMAX OMo8RveKM+rs4/nt64aILIDPIgEEm2Ae6otQO9zKtHQ3cLI6439KBjU1WDUnsP68H0vHZigaiLBi XdhtZtmPZmmbRG0BpVpOoxmwQ1Fh+UQUpibuZuhS/KiONUJGx1EVWuJYp3rntLaLrRHEhJH+oLd9 ZmCItXYCBVz2eFMA7Mouwo3v0ld7H3KR+faVl3vktl1/PcktGZiBFGahCom1aui/9W1zKUP8UIkO hVetOHbPzC1WVhG1Ho9CVGO05dgdxXAunQIqCwzAee205mDOOuFnLJH3IV+EEK4QPIrEtNv1ESgW SOTHTKgukHQq+1AOGBFj5mN+ZR5V1T76IVRcCmvKO0hvyTpeOC2gU+Y4oRdLQ/uaN8tLDQeZkXBJ CO5uY4Vj+yZrpc4nWbUrmMkMkLLusAM7e/DCFKYXjmNDu2eR+LHy5lxzKAGJMUtUyMeAEefab98Q Ztm5IiOg9HQAj9yZqo4Bta8bAY0pFWqqgjAYlSeBG6xsvjdobkTZm/p5PZ8R8KO+IhlHqVHDdaC/ DG9SsQQpp/wgqSAqJlaN6QTSrADOmFzhnqSkyiuGCa1CB1mMytJ0PMJ946WVuX/5wzjAL6/FhhWR WVzpdKVUlId9Hu5E8BKMG2KXX1S8VUfRhdYL7VPfBfFZmB4Ck1Xm54WLl99HSWEQjNt3cv1oe5j7 TSvfN7V4aabDCka3D0h9RQ8LsTPyjKgC2nMnljbpNAWren/JZfn2RUXOuW/XDx17UqwlPdnpHZXs gdrOBQWQ2NriADyvEdDK2pYOQwebvasxdcyyt6sf+z4nFAFHhq7V/vlpc88C4L7FjSbdWmxecCyD IXQr5alC7BEvuw/rIiSRFPWqoX2pO9XqOdkyItezosTb64u9+HgaX5vtFDPWubfz4AhM7Itg5+WZ by3H5SwJP6L4DQax/Lpbha1jsh+C3YgfiHH19KcVEs2vKNUEB2tIO9MmGZYu0nzrKrNBn07jjcuh 3Xsp5cIpJ3RsV1M0sn/lBEHbCZ/S1gX8faq6RP1pPvg3pMPlJA9gyP/uUByOde0v2fiWKNfdIli5 AE9NINzVYexjPVxyp7eKPbRmtYjCrIyCvK0kQwJtM+qHcDbk+XpAIXRmIa1u3eUx2kejLF5Ce0wU 3W5XQF3AHLHCkuntDwuvYPa5K4RRD+AQzPn6Sr0Hpa/IDErimPwJ0JAtLof74xIqq3ynDCHEB8Jz jPissabw1LPbRYBlEou+lQh96Ge0p0fbJZ/DSDINFJrzxX4axkzhoSdrDVqmkQY4jB1GOLjkYCcT UPQ4yZkD4LGUq7Z4kbgju824TU2c/9T0zAEOKxZHE97DtjYjUAuVsR41ajUHEz6/FTROVIHUS4NK 6Pzk4cl7E955/qaLHlqPnYCDVB/QwGVmtruewaKx2t5+lN2ULBXXRr3wjIKbZxa8m9p4pvY6vCFO gBKJCUiV9pFzdYQTsefF3h/1npvJplpq0rSXajuZeQJdk4Gk36tlhRJ3rJCuZ++JIKSZWncOZMMU M6Vpg0T8bRZ0fBDV0X7+pGY4oUn6qt4F9+d9srvXL4GsGWq/Uj4RQF7OixwWaqba7Y8DTVOK2ge5 ibZzAZHIs5pNGZhkjV2f+YTYvbk1aJFTfP5PvHPvD5OUV9wddFUPNUQtVdsf4SoBxBkSp8C07R3t 2rFHoRnek7SOrFFfj7/LVqKE+gmIA4KkjxnvWOv7e53Kk1xof4qglGniL8sUtmrHNPVEI2Mf2pqS /8LijuD+QJqsVAa/m6opLt/37NCm0eWTmTDGZ6qaSMcerzPMuAbUq7TjUtZU6l5SsZ1Ca4IJPAv3 4IRWTNSal8WtreXLijrYNW4TOhLHNhb0EWKEU5Ljk6AFQJk+wuGxNbMp/EX7O3inJuWVyygX9UPB P1QeC7GqEi5CObYdms3eu/C1tVOWvpc5sO2F4d+LygPHdz7ZJVMQroYHwrkvTawdPgtRDrAhC70c 0DMXtpE7rN4DQPv/BVC2tafzMDrmp82/FsadOsRoQ7AsE5KHEZFEn0pBTBF956RFT71zESIeJe/f pubgmn3SwCOrelMjew7UzCaR/V16y1f0MqhtpBrX/4EeWkvXAxd1rULd01r02Ge7doZ/RjdFktuS K7LeXyxuZ502QwEtElqO0l2/OeemH5EKm6TqVs3u9jAJ+Ui4tsmwpl4RKPLXP/BFvkmfgQI+wINL An2JFUU54OE6xjlgzsn6abXg++IhJtv1n07Ke0oVVEGb3gyTp9xztn9CYk9cNAvKhpQvY7AOXWUT Ez4zfAUpRmMQshwp+hz8icqIs7x24EhDs431Rn1R24b+F2jyy1DQ+xce3OccxBw/o+/8s/IOeLja RI3P4qYz0AYKbSa1rjyN/InpjglaqNJEw6qPNxUtDJh+8upruM2wCxylwI00XZuY1VZQKdA2NnUb Uzwee31+El1iNxLKhuzz3xrPapWrll5JQMwI0quLXKxsaTFdFMCghplU/4Gc2cbMO82vF+2k89Di ydfKADUwx+fgnwc7enbCI2OCG/ZD5nr/fr0lHlV+ShnfcIyKkSdQPjzK8SqL9+2HxEiJPlDXQpOO r/YHkfMXxL5cL0gN0Ce/+goVUAqH4qvNZTpdP4g79Rrs/KQ/56rI9QVH6tg01rBWKaLI5Z3+RLpZ 95MRxuBPePrOzz34dzQ9UE7WuWs1uVa3VbKYu7spG2r5wWBmMsM86J/afcShLmQPH6VS7QrkfK0m eT4e0scMlIvSGDKwzOCeSE/Ps7OsnclyiLnuYvKFhSDo+UgbyNOa8M3nVx8w/lqpvl6NWrgjZ2gf yDYgoZ54aERKyI2YvIQQodsBYp1JqKsfSGHGkQqLoq4jJg7Y1hux7qJIkxUAHC6wkVrwLB+Mgulb Tlbsza90MZRA4Df7N9LcEfmwZ+2DZZFAnN9URImzuoJsUorjo88/Yb7CHQ4YTXW05xvVhSIut7OU xrE4yF7c8776WGp6KQ442ke8A+uw3eqsSEqelWUbbEXHqHPzuyh2ZnRzOfqO0KNSapxBaGv6Qo3p KyYpUZ9Ey4oU/9TPLlu32FhGeJWJ9oIycalf7+86Hh9xIzjCYJ5MEB7VszgG7sUMi2a/4D/uMMQg o5q5fstDXJulSIq5m/7uLYDtDISbpHw9VzF1d5JCGkpky+OR1KPuyhSEcTABi/YdhmfSa5giLbIS RsZQLfBpjT6YylaIRjVvcR2d7wWotU0F9F7D8c/tAmsjGHmtkgu0rKOSGPHxGqKL2OhGYR2/daZe p0YldMKHqsotwdifAwpv4vddVAtEvRzyYj6j4K4SNUhnpeNtEuFnmEykZMSqfqkUG7Omo5mH3zrr WbqvbScxSDN1YWWfgcrvnbCJMxPJBGGsH16pYt2FqmjmfwAw/DZqCvzUL0JY9h/N0gfm8IGSlRu4 qEjYuyfuKgxAWrht7m5XMcAOYYbJRq/aZNY5NP93A1+L8EX/BZvE/4biwHya7kJ8ElpGAsP539ex M6oiALzDeQpDMVkhTxtxrkA2H7vHtGkIiZNIkssp6J7RaEQf8pvAP3VmfEQCbLUX6ML/ZdShNLBz 2lBzIkAWB0jqt+G7vaGEI0GCbhBGDxMDaNIaFQFVuEQKBP8fFqRYSQEUAqF+4GbcMZv0j8wgzGuK AYycDoAlU4xUIK9uEsLw4dpdx4yBW67BKrTWF/k60QaRupyKgM+26f6PeYdXtoOFWEaKTD3Le+EI RczwTfCF//de3hJN41i27+i2m9ggzIulY3ZMIvpRMH0cHICGbXj9fE+FBFP+5ZdtdDXkZf/a6Zgl u0ZvDZ495GxsBXbCd2sTGshaK5X+tmBrWe2xrNwGIfRkTzQ45mErITXiXLshC2aDWCiGyBnTRwix UaKZykCjch9tBIuTsop1bx9APU9Rsd5DYFxnxu2s6LKpC1Kr+B4= `protect end_protected
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim.srcs/sources_1/bd/design_1/ipshared/xilinx.com/xbip_pipe_v3_0/hdl/xbip_pipe_v3_0_vh_rfs.vhd
5
24644
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2014" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block bx24XPMbQl0ZuYgzgnvmK2UJsn5v5rHRrHaBzymEsRVRAjuRN3xRCY+goyOwSGiaL5BZpex2sDSK 2sd0nljSnw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block CSRfZVLMWm0HJLEB7NOFzWrGIhgXL0zMCnVPoqKjG5Ur0+RK898D8TnT1vzg0/m9z9AJo34CsLar 7ajBwWmQaStI2T7HakgiApYlcuC6de1XuIEH3rZRMj/RWcjpTLbgkrbMj7lCzKzQdvZHARVRsJHt n6KxqqDLGxMs1/m4zV8= `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block YDR4T6HZUUPDmkJ3uEF/8DG9RH1KIm/Soi0XWVOdqKCDBSgk2PKH3QgKdeu/Ygc+E4sEfsdQ97ZX ZNKLn57bC8vQMoMyVXHXP/gB1IkATHDtiORbiLIN6gz0rbLre/0AWJ4pnD6+ix+zJ2ZtVx7uSjJD UeDwmSaYOZQhEg4QN3w= `protect key_keyowner = "Aldec", key_keyname= "ALDEC15_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block b5TzJrebbTGq/pRucwAvmRYTRYSTXLJ31UHhj7qPdtWGaTRXaKbjtJHLK6r2fdEku+xRcQgb4iwR VR2WDz2dfhkKseFS1Yxa2DFJTK597UszihjnkRHDocjQO3cUY+io6Cbq8kFDe4t/wEf721IVy63Z z1z8RoAbpBZZGG1+seGG0kHDtkTe8wOMD9mRo2qsutfBPBsV5sK8/fmf9Y9E2sAlYwKjVvsGOjpr dIS4pkfWNQ1UbQXn1WlPTe4wXcRDxSDWm2NMDLpVsB7PHxXe/ma6En4gcBeXFN40LqU3TWcyfbF4 Fgd267nviONJrvDRA6uaiECsHX40iXKsaxsGyQ== `protect key_keyowner = "ATRENTA", key_keyname= "ATR-SG-2015-RSA-3", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block LoXyfjLEjXF6IqzWN8H3K7nR07wwyqyXVISYV16h6KsboFmbDcRTEPo0gH2rwN+AX6fpfnjiQCDi qZVj+jq+3Jpyaex4T6xZDGqASKvTFZ53Vog5975jRBzfQilhyEnt1jyw4Z0UhtEM8LILdgabJqA8 cXdC2MS8KixvDgzWP6ABnTAwC9pDqbLUIqs+coqVvcy1nM4qt9WlS3/X4SHWNrmKgZ5d/HUtKouY 9yGUMGTi2nl4U+Zd7UaI2yJjVCW8JLst+BTCam4lPyVXo4ebpoEbDK6tTwa5DlOxI45b/ZooNuYE Rpmlrdz/peCtaLTTS4+P11HF/WIAxGHuvcXpOg== `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2016_05", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block splRKPjEH+uTzvqD2tjFWmYXGYcB4TmcJH8LhGT8ueKKhMoa+orNkr7mpiSfxGo4nOfb4ddB5A74 rXupMEGR44uXFXmGFms0uV3Mo+LAVOswYWiSib2qqWdsJAVPQV+uS8kwf1pFIhgSfyhJYccE2+LN qen4ppn5nmwPuAnPwhqNoxWgV6I1SCeKHMvOOim/bGhWBFyFuI4F9GeL1p+BC2DYSvijB6DHJgjd lmuMd4WuXe78W//Vv2jhHriZx5nGgRFuRWE3VBR/38AWtMEOOrO4ijdAV2GyHZrphPmDHXfSwU6z 9JSFgLsD3Pd9zxwPDkqCeFOIFV991nTMDEBaMg== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 16112) `protect data_block McOR5osfN7FhwOeAmCNp580N4F+RByuH7EvhgYojFcBg/8vpIuQzG680sV7weUct28y0SPNs4e+w qQ9lTSMAdVIcIfpb7kmuFm1wYejIM+Am73O6WYKfbLSXCEK0ff7fudxRcaw1CHqSKP5weFNy/W3J xRHGYa3n+7/drRVlEUfoidLOwXLag7w3mk26EFheXCHy5zKZBEFdTDAySFVBOQMKnJuVkr7TSWy6 +HO0S3nwkJb2t/2Obg+Gx0YFDulb9lgpvN5ucQIgofgaL9RLMFmlT6WC0QoQ0AaSw7/55vDDzjDV jaxpTEajXxNZYkEWyl0jlU30mSGCjVvm5auF3L/r1FyUaXcwoU2mKV8EslyjmFHakpZLbqsULgTF Z3RCXvU0B3gSkWB45UlnFFqWlHdxAud9ph+KM9n9o0n0b4iQv8ZCmtvmffNXncTx1J2HG020+mz4 Cke10DSrkd8eQKWWnTa0Yidx/iULtNjVOq2PUACrwBL801bboIvFcqupEhh/fZaI2xiAGGJ4N/aa mU8gjWZ+p+mXH/5C3QrOdww1gXr6EDCOBrIjrNuqNvETCyVsU88lnIyyKpKoSBywYVqvlkT5g2f8 k72MoagO+tyPqA5fY8TJdVFc9ihx97d5gB1ZJxMFPLhbCb2uksKeyASA3+krMvdiRaoDYgs5V1vG uLzMuSgAY7IbL4Unz8FbU7yyoOM4I7S+bZXAdGq1COUITbk/WxmrTQEsomN9JtZbQ7650Jpq42Z1 PnIaZSulvU3KpmvKHMv8Rk7ds6VKtHbnwsN7E+bMmBTMhEW9owkRSXUC4H1puygq/SQFoAKVdQqz z58uDiorVDfwRTL+SmykOihbxcYzKv05VIAmgdlxlwPbHZqZQAvPataV8bOWaLAZb3XZ7D7r4ehK A4MP3YHhbrPb59If4o2XFOzsq+pwXkBQ0qo4X3Mg49CG/U0tp6Y2ykBZ7fpY0iOGTqcS3AVU2+Bj V2Yt0f4x90r++6CuqRuVFqTfGZtw32KVn+EJ/0Wnuzfeko0TrCb52SsI2Qotvu1+WfvqkC+vFa1r B05waKkVC+JDjJK+1opjXByZAk2otJIlOvLPAmNsOS58UQWdW58tBnCH4ROtQC3GoK0lMghVsNQV kicneUY2/YZ3kMEJxH1Qjui1GciG4aRExQXzsGax+AO94AXGSTUzEKJUZdW/KvVjqaHFhVcanjPg /umkSSh9iN1YyljLhQZaXN5wwTwb3gX0xGl+rWIA+AGtrgvDcoNNgnjdRBIr5/imM4mBnEHcazfL EkHeL1WgffEklnQYqiFyI8Qz3czhYwkFCUVAZDjj1TL5m8pBBkQEIlVWfg1pVubC34JG9FVTAhz5 SLtyVzKu0RjLXTg8eSW0t73SjaUtm3uZv4YlrpLaaa9Qa5Sh/Fv/6EBtRTjY0Z7znDHr7u9dyNfP rjrjdqR+S5B3eDWda784jqVebprfV/u81Od+HS2gWaiQZxc5y30Tg1EGAumXzI/jwRHGck/4uUBn WyKLBuHA4FQi6vpQkYDzLzHdskCuXoZ9Ovn8ANicU2TwDfqSFAue0Pb2adM7Jz2lCQ5kWkeSQXsJ Qw5cBwWPsdPtnxsn8g7EeLslxl/TS5iZwt3NEq3MBheVs8/s5H8TwA204ok3uz2wNtajWvZBoYpv BtVvFop7tAnwumSIhkZxx26oC+RhM/tX1osNh/8rMR3NEeNE40iBIFWy1TY3/btmyBdpFGtGA3P9 0VaNky6mopcpu8fUT1vqkiKeTSfwRRjjvspmn9pmBbeKLbRsDJNDP+nywudJvyj1Qg72IjHWRiKM AGsSFzW3upoCS5pIWmF4VZEkRf+TNeUTF4Tk9VMOoYeHZciTzFCr2TiWBLBryxPofaSZPLhlT3Oz b0bAAHWDv8XBvLj7wqlN9fAhk67AaKeeziobtPkcRFiUighBBdUBkhicwj6yUWjTmyv23SAa3/C/ iOyrPAYtyUNv7VpVzN7YlZDmK/vCEr8dp2pXm1XRTZNGiVURwPHlC5ESiN24Bw6s36ZHR+TAH8PC AMRqKURiJXAcUIYJTmTAbekZjHbT0eEDiRQ8j8QIoTP5joiNgmfP1HaINTWJmi3INHBy6lkrq8k8 Zq+3rIfRRCEqR83tS+v0/XA6nCPoSKd3tmWknW068ye0Knpa+Bk1Eu44DpWqNXlAMpdq3EeZLomY 1ksrvZM3mCU9IMCwFafunPykHepD3bu6C8gtp/hv10VD6NozhoyVADUyikWml4+TUvJdruQOpfgx YaOPSVZVzqyQHuhJFrhtVKso0JtCHqc2lJM/67p9G3407Xcpi1hobsToL3YlmbwGmL29++Q9bff+ O+ftK4ym5W4N6iIUeNObuD2ysUJWdM60S0GUeq0rn4NGo8gcxIJvwpNW6TL4v3lW0HpkVSQ/hhFe iQz3MmUu64ESBFwD85JuYkKyy3ZASkZ1RIF+XMIo8ZqPQ5bYnPrTlm8JmemBo6qMDaHGtyEJkCJz e1rlzO1y91YtGvOaC+oHaVCzP20rKUM/1tYWMn0gMCPlZCx8LPGsK5Bj3UE/4wONrWiRUBX7E63v vnRD7IjnT57Iog8RP438SGeQCzTfIyaJxGhk3UKSZ+dnqafULID26RoyXCzJNWHYwND6XJSPfq4p qhlgkR6I+gEWIFkgIfFJJjxUn81gs4PDRkh/xLNMSLeWSSfPrj3d0ZtgK/Y+qXEOZpSGFMec/86W oNh0rTX1HI7IgLOzcD2A76QIglPjO0fJPIIiYhy+41Se+x8A5QOdDQp84fDtnAt8vulhBQRkQgxo XX/XVpgl9g6Q9Uh/CfoFD+UQLdVpbv8+5aez2YWYWK2IO/hVenNWF55+eDfy+7WXmNy+/wT13QZr XbB8crEylPIMfap4Aml3245O8gFj24uCDUYdzyt1Zsc87tLR+LSiPdi3dMJKfhBWhasEcwJGkJ6J dWoN/t6oabIhNQSPyRXspq4RpggkqvmZE92NeFXE1bFZqjaGXZIUdBoPkPg/t55OK5T+cmkoBx9p jWSP+rW7j2Lfz7znAHtE5tOzL+tPU8+vMOWxqqFOC8RCtqUhLg/uGPnik1KAB0KQu7ulMku5mUJQ /54VZRLTkYYpfXd8tGDdNfx6JLX224bWRq9n9ST7fSDLTUG1cXhF5bzKHDytU9ciZLrpMxMue/ik XNKNP6hk3E0M8WntECm1Zqk/rOBhrlrwujcDTG71Ror4J4Jp97scLFFaLkOyoc0YKdCh6dD2q2uR 4POnSrMa7v2ZAQah6HKwA8LAK/1UOSpzlq/DHf40n0hkZ2bqVq4gE/fy77LBy5ngwu47zFlWHk7u iCcM9c9P9Qek+SR5UZdGAX1eZZFHp1CxzybYuNCWmWoifm39DaaHnzk5BDsNG9izs0Z6AK3Jickp 4kf6zOMmgBauFn4WNdK/ASM47ZgvHaA8ymj2iKnJrKF3Z+fiKUzTzEgffTNmfXveK3COL+4i74gi cbKDDhYIrKPIbIQlT/k18l+ZdoA5mIJHYUlSU3zEtkjtuizMrl/dyMMx6jeQBGMGp8QMRi4QfPEM xh27RV9UVs6Blqg9Ugwhlq34LlqjzWS7pRK7Ct+fhjDUmGF+Kqw9irQQaFU/po/lUfMlg5vQizVo oFzZ0FwDddFwNyTvD8Fm21bGXl6iFtHqf6ePngKiTRdve2N9BvzcAUCbfO0iOp98yWURkC7+NUl0 a5J9JVZLuqwCx8oIWsd542e1CJ3IZsjjeCfBaZa8gs7ZiWkfp6jbnfokwKB/yvbCjnnZ2b3gGwnL XaOfi/tWBNcZdwIe5YI1fUu1gvTxMHSRoyx5mNmkoII0BJB4YjbbzBZSldhC+GgtOCbINsUUdrGu g40QQPecAMyQ/qRn8i9pH5KQDslrdDNcZgcKG0wGr5+rHr81BJbmEzy5wSB1GIuiLRIC24U1ZoFx ftuqE8jA7MjEYNRHVQsdcy1GtPIR7ZoFNFwmdRKgNpQAjAJZ3Zyqd0IOq/Q+6Yx4jAWT/XF/Ndn9 qNQiM6oC+r/ExiMZetl9HDNP2mf1BzXfO7Z6Mu80uYa/7qOe5z993ev37ttNW7GWDX2+ay2Lq7m5 EYRt6/WYi9olO9xrIYxz+O4tkffmdFWjNlDlUqDZ6xZyrcrpSXt33MY3vgwqewBroJ+1iC90KhWa bfq4wLN6E1vMdDBSXg57NZL0fx2uKrSI6poA+fBksY/5lgWvd33BuygSUzLknRd87ORS+8rKeOJT ygevFucLl+P0J2NtKgjBziTTQcDRzvAZDqtK712wLLH/syxEeUwR0qi0wxvcYi2vtBF8Pmqo8Hjf v/u3FAJ7cuaXhQWBcQ1nSMYnf+x83pE7lvf/q5MoeLhmAeLKlX/bKHom/dolVPnTWT2tFyPBduH1 X7rW45MQONazXtXt+nr7/+b5mYbCS66YZ16fzGOc/5wgfoEuNkpTZLZtDgF8RI+IaVkG0vSfwwEO Uwz//aK1UX/oURBltzsvV7UZUTe5EWa7MRoRBx/EJO95NkhLw5wJe1GiaiRcjHSJUoOepfZifl5Y +1aLwTJQlrP89EvSDPqA4jS22cH6FJSTNVhIsxHNSh44c+8vo9NYFXN+W12zwkubnUDoqBsIMnWA toNERGmdoZFF5nBpTHK8z43X73XQk87ssPzd/C8zptQEjEyQro/ddpLi3lAN76IkjG5MOjnnBcPJ pcJSocCJCAIt21kflMUGRrg5O2K9ghJAc/v75aeD0xdG4aMBiGQmz8XBRsJ0wcRv2Rj8NPJ3KodW C59voe3aARsjuhaQdgQ60rmsSgPUCgGyyv2JJmiNKT4XdOMCIVuzv53+w01Vp43vlcXVtezxYo/Y CQW5VL7yjgpjiOEY4U/oVn/ZS+qcwC0vU41Lp813PvN26n15hMzZpVOB0Yy7OtbUyP+zaGGeLINR esouHMkTLBcYk/L6pjsMXrWp/OXcQD9GRsF7UHkk1geg2ESEZHw6HhZRUU+iQPj1bFwbNdDOB8e2 Ir6hxqOABoZVJPLNqRfdRczBenXnPDh9eiogdOmtNvdgjN1cYjQ/WtuW1X3B0eGaHVGexLAXUskT LpEITXDwKJV295WWM23Nf0FxxqoFszC20z5t+9puc0FdftScMUd0tySXJe2lHptVyFuUubmYNsWY Zf4Qa+j2f0p9g3FHUQb9DH0cflLlq0ETDLynRMmQdit8Gfn8DVzzOKci0+JiqgAviCsulXeM56nG /nNh7WLu9UcBx21txluRrFe5iyCEsW+g6CA2tAAjCr1H2Z99YSH2oESo5jEJhjJy4MFvtV4Vq5iz +uwl+yqk2DIXSzzDSN/7Vau40wUOWJXsHt1HLzbD3+7BFhHt3VRiNzviPsTqOT+0M5e3mYvZ4VLF pveDh9pjPl+seyJvZo+++vsdMiX/JSEeana2ahvl3JgI0RtBVTGXFMZgUtvcgBicBtXXb/K2nvNX R4A8EqmuVRQ2Pnwgl8rdkGue5RrHQTitHX7iUB1jIqiH1JujCJUKh3ktWEQaG9bAGHBXjhq5R46H f/uK7ItY1yoSH2eX0f57WSw3y4U2yoAn+Ml8KxOVF+2SbOD6umVJCLC/2mfSsjBNTtNWaqlUo88J OH05Dv9MOArF+4WnFjwrcdnfFu4AAWd3gkwt2CzwX/8OaiutUExKwrD5Y0gq+o8Q/p/Zaa/53dkw qRfyHJqY6S+ysORkBi0+BP7LHOVrLEnL3GjOxJ6nyITWdxi7VsCHJPOOXNP7/rzrxt8mSI6KkkLe 2+r/G6hcPW0xQfr3Ygf3z0CrqIW5HKRGnh6hdJL6tNqAoh47830hJ3tq4yFfuQLVfEqRtlfeB/Ac 89D5fYk3bmpVPQrjVfMFE6db0AbxYWQruoSZLPYQe+zycoiL2m4rRHMvMgNtr5dxx9WN7TVGq6Ij 8jWu3AivrDengCFLxd80k1qZbxlVaUM/yzY3sE/RjrJOEJBzK0eZNdKKFggVHuWvXq//tYZ7iF92 Lb7CW6ElGXxAX3n0GEo5dvYwyXETqMSkS4gCvGRzrcF87WSOJ+BJlbW9VVJCyItPI5ePl5fJ53vd PJarpwRwVPLTSQU7qT8jPwYlujNDZ0MXi8syKyZGRSVILJwRDthINP98ck+aNJk5scDmlJ2d2D5+ BQodpO6Hm//IW5titXq0vAbLPdPUSXhMLEQZTCsVtJog2xd3UYcSqZEJUqP0rCPO5rrpIy3tvkN8 p3mDfO2rEnyzicfIj7E3BT2G4TZPtYTIIptGTJ9bk/prx2kKkEeMfUvqBIZR9pcwDeZKbPAKj+Di kH0G0PJXQ26foVwXsDtqD2lFvdcGbhhmSzvfsSI1vVF9dO7CvgfsZBjRqTUDNvBQoTWuhQjfgrQK QxiELPtGts/RY45rOMN2gBM4TjJY4mcj/HHfMAk5BPNLeYg1YPvO3Kcs79DHUtXpvf/QKspqVw0L vaRiM21vx/wTAJxg/n1zgO5/wACMYOJGtWI4cna7+bO89J6VR+0uIRjJ4L3rUVFkEE586D+lrIgW eXIAG8tLeKPJ6/xs+G14LmK4VFkkSmukvdDzuFRbB/44ktjoipmZY7XJA/ExDNUZnR8pK8k/tgHr Q8vqbdXwL6dEJNmlq9D5k9pbyGUmg7eLiqJAeelKRrNKiTe9lcMoqSqUCOfm37mPM6eqNiHstBOc eCc1yjF8OpUaE96thnXAjkUefTqFCM40nEZOZKWjkYlvRFx7reG2nC2qKJCbn834SqgiCzufTZZB tWKlDY2Xuh/RxTI+r7RyDgsQGk/devcqeclCDiTB2W/p9l+nYbiUkoQ4msnnNXg7XhXurW6gsoE2 bQmb+uWj9zZdIvJMuNgqbM6mvPOPk21YV5ZPeUCBPNtIgtX/CYKJk+d9CQcfU+qO0RoePkspGfB/ tRhOB2tTFIAdYvsYQe1KsPHfCrv6Vf/WUp6kHDz3jJjLs0+F5xz6pFzhY3d5tf3ehEGL1pdPT8qk RgASczcWqE6COnbnmHdV7loVnrKpakLtTx+SCpfm1Lffn0MfAuBNaKIKmQz73M9wjg3NyB9tH5Pd Bv8JtHjY227JmrV8qs/uAct5OpV51BZ5k8REco76KggCnywZrJeH1Wb7YW3PM1DPNX2qDlBexDhZ uTIeJURC55sKJFE9i8Gm0lcZi+zhN84cutqiLrMcDZny5NxYr00jvfJ1/HOSPqAUfwKA68nkcdXI kQcgwLiscPbwMBCfc7cJhNrjv7vsE1L6ALalvruwg08rqm8xYfvHVpM5YGudG1X5fxZUnQQZBjXc V1bAF2iSMe461WhczezdElPfEJ+KdlZpK6i9t3/5Z58SFHT+tE4rD3SmgKjnjCh7ary0/d1slUux GEeLkjw9A0OJKAsRZBgPgTXCnaNzGZVZ8KWolCmcAQwNy5ZE/wxesl2AQDObuv6JlSzHw2BdH2Dh rmzhQJ4zD9UJrpzqPt4Oy1wvPKyJBpqdasXZ7uwuBs0Lj5vF/aP3rMptVFuaYrgrquvOWsGd75gO 80qI5tgJilvJ9fVjNJrNYiPh4DvoF6jzOjRZSLVjqyMZhieM6my5zReMKcqGS08c+PI9jk9JlyPM VvW7N8NYTsCpvFsR62kmT8CR9a70UhhMD9w6NeY0ULKEnqa00whScI2Tvl8HovWW9wUdBrVZlB9n /SzmC4gUdhWhFuab0akh7V55WOPM0RNdIdWEmA2sFNrdm3BjTXlbAeEnxPYjsc4Ab94saFi5e+PU qQvuzucDeux4jaDJneebe9U7A5ifhke5iiNGKKwAA3V/C+DiQzhvBcp826tTHUAeWpmerwCriYl8 7OxAYrZXdgLcu6SieAyCfANO89hBhheHEPJzwWycT+T3SedMARi5aWfT8EukgMvKOWFtkvDXdq4l +pw4lDPDm7pBtm12+mWAEo07RBDaAZ6MxJ/ykZe1euIN7SaoVeoTF687iGYY6DrvsWRjZyI0OBJ7 T++uY4zhkskyrpBuBw29K8UhzgFrDWpReO23UEJXZj7bLlpwEo8dBozfKAQom6bFOfcu4ZQshs3J 7TP0itWA6sFKOjdKWbaroS5L2+vzyRAMEspv3+TPOI4Q3dufuni6U7+P30pMTsxU3zD8GjAQv0Ss l7RKECZGy9Z9tgeqnm50BZflqeJDxHSzt4ICqDrf13fZyWC2AGDiPn898TOWndE58u+Zw6DH4WlM rDLEi1ddF+wR9oY7J36HVPxEHGykkk2XgS/Hla4uaC1YiUGCZl8PggsnuMxsP2XGI/F0rY3i6c8N qWztOkSTj7pWXJhH93MfK8BGsH2ZFmW+sMAh3jxk37N+FguIin9BCCvz1GEZt8ciA7X0N1iH4C67 lE0ibUD35MVUfDj75JjOrhPMxoTQKORphC6jBi4qatGN1KRnYnGr9pxDEVAU0p9LXfIRE6qnUM/Q kGrpDDlBpdnS7omC9Wqh3aIOOOoXv80qJamYGcy4NkKG4Jny9oani+hLjQ5Mh7TpVOJlIuTxybow EcfTVlGMEem9vUf03+TyVFGh4CiO4Nxc/c9Q+UICWIHCDrbG9RyJT6i9WNfj1icolLSvuEOQ+n9d rszSTOY1xMX32yc+Z5rXPZSOOMy8agyTbkka9c0cL0aNBD0bOjTiuJbXx4gR5lGCDRCIhfleoSIo hqcFJBdUQ2Us2KGPEZwLz0apq6X60TBPijb3JXhYoWPD3cUSwmqouaWggI4gg1fGfeE9gqrT/Sgg EU+6aF4ccjM0FtytAphjzTK1Ud2UezjoTqO0Gzl6o4JZecfN/UtQeXwha+AcwfwGdK1sknumNCQ9 LLyiZ5H66kgKfEOa6UNvYnIWTOcurww+CExwIX0lzCudzEZWVAYzfjLucIzw5mQu1SK1CEISrkwA l07Nhi+UmwkP+sy+xDCZF+4pPL67SZIofxEA5Ro9P+xVWI13DfVMYM4qC+RmqMh4Ym/OxE8j/55B rm2ftKxqRDvhG7YQjIQU1S+g2ZuMBA2eD8ajBhMEBPsBgOKRlAWS6CP8URq5JCgtriVLt52ipApj 7Mc8rx2KGtqDU3qERvP5jRFjg3Wi4ipqA6A8MM3ERmNYpDRe2u1dUM3EpQRdN0N2/78YSIjBwHES HsKCc/lUXvISI9u+mEbpb7gCaGugsv9x46J1S+VL2Ftt8g5LHUt5ynZUFvShbRPqGv3EiC07C+gN RXj49vCsqaOMweF5/x6n5h8BSY8bMXgnkCAlglmc0dWLdy7C29xFEO1UhOd26r1oK8oSX/XlbDZx LUHaPyu9gSUrc0dJI6rqaldk9/egkRXJqNuxs5LMkaFJcAxeUxpl6M5ssLd6VFylhPDlSajullQR aGWYNnq/tTi9UplvQGNBZ8/qPErbFOnNSic0OD7LCc2FujMx2FgIlLZaFCOIRTgWuFKOMotY1Ddw NXXO4Y+Wqvq4mhtwqOi61FVS9r8hD+9DE8tK4ysdl+rDdZ92jnjoC5Kl+27RfWwx+WYZGblfMvAt Vdkvp6T0hwBlZ55CkXEGwEjtjYYfUGl6y6AJiE1deeezHG3mD8XwcqfukMMgvm/yMc+nwYdx0Id1 J8V65w1GVAv/ixI3oDHTC+gHYtnwuwuHXamV5F0hrfKd8BoSEy0Z5DqsK6iv/E6l8a+qiRs86Ypq soTRqdrsPTNeDDLM6lT/DFw9XOVdbjFGqXHSAUjbzGU6ZpQJXhO0mzR1W2v1NkyidbaQsVRK3Qph dIjLmh5dIFgQa0sICd4LxgL86AhtXTPVPAnONBCRf/lGCMImtyvZWRyR9gelOGusnev2BL9rCDdX 1bGIzS7K58cdDyl734dxoQPCcs6RwfLTwoHJFl0fHH3BIaHS1bqYEpFk2yGljFL4Af/o/UOWviLo aitknySZj7LtVyLZzxExFSXUid3DLc6EmOrdr1TSdP85h9T+0lwPDw0G8CzjArQYRoKK//wGgdRA maSZcnV3lHZkI//fguepqqEShfwWZ8wuoKdp5/fNV94WwLIe7epKJimiFIXR3/U2GiWtKuqn/2Px ATCa2ibZoxqmcJb8r4aZBodd8iiS2MwJBCWI9Z0b/W6pV/Rnq+MiIhqhlxyYnhz6yjeS5iTx8Chb ZJf2NC76UGggwFME5l/zGS7rjCXLikPYNTohJmn9C8xKglviSiOIGtDijtbIEFAsOuabUq7nI3OP iiYK3Bz+VxOLvVEhZ6KmXRSqBrYS6wksny5BW9ps9XGZDyZ8SUj7DdYUrFyp1Il/QvlaiqlOS9AQ r0DFsan2ip9jwcT4KWnrTdAnmafsRbF6EE8CY4OBf0IBzMVvFPd+7iRPkmMvxtd2RG1+HlNIEw2t BjW8h0rAJB+vPixyzBW4pEgO5W2HUbCXKWDTZYN78ziKt9QOV0cPg30Pr649kn3/7MJxva/utqMg jQsqZjc36RM4ScjmuviwvNU3A8LvKnuJL1032FZNH2oKAt4itBniFq9hElWKaR2y3AkejcbBkz3h 1En9/pn/6kXuEYBbFYCRRjixMqLeYqcf15MnsfvCcuXfjwDkTpC/6SUej4nSVTJ/7yVWsT2R3NuP OVFNnoGmUxUUMxgbWQt8YMmcJnyAD1bbP04IPPghj8S9H35FYdzxWjDD23FACXAubA5D7HpE4O+R WntasIaWUaQB1taY4jUSK/tXfDE2B5wFfMXi7b4QJ257lb6T4DZbeAHjx0+04EhNuow7PO5Xis53 P92Oh1XHH5M3u74GJjQwGVNKqDY562QSSWo9J0VogZ9a6uWBCVNUgPJH3a6OOnHis1QsejxB8Ok3 kZ/IdHhUjWkhrpcHKJpYdbGg9HUOb9qH2V2OACzYSDwPxy7m89YuB9qtXkxWhgToUVXoz4rLeOAr j9IhLnYF6YmI8uq92+ZObzO6MYGtz+W/Ya0YCQmIUsIxepdzP6odnEflK30CR95VS+5TSDIFg+Tp Vu1Orc/0BlCuusajd9QvWdft4A5nRcdRo+f/vBsk73H2nSGWP7SpGcgWnomINHgsMFduQGXaj97d Ep4nPkhGaYb9vBYk//CYwcO4T0jdtjjegw7AEEUuFoChE7RPE7ZE1xevHeF0QmiqYXX0PHr9LpoP h0TuqbCJg8NRsNxcOXnnhswkxmBDaLZwLeQ1xEc2Oj7dBflV9vlS4dKknN2XXeCWWOp+R+Nd3R9o 28/nXfrofbyziHWpJ6GXi8on5Mqml4rgWxRQmvrivat1ElTFEaIgLFQOp/9tPyt7Pi24EdcW6Nuq KknqhIqrBRa1NOa3NfRE3LK8kGJDHeTMuqB6MGF3+Yby7q968Su6To545lcM4ot1+HeJ8vRw4zI4 ihoIt65AYFkSRkmqfmRT9pA1MU9jqw1Bsz8+iDs8kXQikA/OdkxdxQSuRvLWLM/CVqW5qMQScQDt Lcq6q1AuyyVT/VFTCs+ddp0cad6wEifcImgh0Wl2akAB+xiXI5Pdc8RSKfdMuqgGCzPKCiX7nuxb aqL5VFML9Iajqhq3E/GxtdHqURzukg6lfjHHEmFykyWWTEhmlk0wJHuTB8hO7Ey9Y0LnooODjFIh kj9dXz78ayNlG3qWnxg9aIe6LQX8Nf+TdqDj7ijPFUddqOGrIX2bgJXulyRL/xQoVHONXCuKBrS8 UrFpNv5UgBLp730Is6ehQhZgpNOzt3tzeEae+cN3shslrKIvr3ZxrcoZs6mjZamIgAo/NhB+5u2v UEE11mhCrCFr8vixva9HRoL+ACdnDYv5fwQQ24zsd14ueUrjCZYNZibTcC6ugsJHj1ISC+HXqbTy CQlrj+N3yB4JrkgZdDCwPEP1wU6qReOTp45+sgxhFOQbWzE2mG0b4X1jWofxvglI2L3H8sG8ebQU sH0bKFoT4iNGp+M5JLFLJe0Wmqyo85a/2tUiMWD0gcZ4/bGAOXu7YCrRz+cWm4V/mpNRrtGjhunl fXoy49jrpYdF2mAPaWp3HzSxncNWvGbYW2Igbb1dTmiCiuxHXVlwZxzWPrURlVZa2hHlq5ss5SKe 4OVNb4uQl6UZ7MP5fo/KjwrV+SlV4kuWbXbWPpZZ9fvl2rdB4lJ48XBBFfEZjF0UyRjgnvXsCZwF lSaNhFBRmsM4lWSVFynbJNKp7eUowgBO05wqs3QRfLltJXbtpuJB8Uore7YUtFrNMtHXzcGhH/Z4 O3stea7YVGAehiDmHykLQD2pjwTAF7q3dV4GtCmJ3ux5O6LOSU79x2pTnbvJJc9ZGpuWcrKPAche JFPJHDE+dG31VwCLYPOtT4lGGUEppwBrE0wNQosTWkvAzthdrxoF0LR2vyvAPwMYoaSqp2z29VaI CjVe60ETUc1cQ/rwNw4PWOVYAuHkn6c0rFizcnJWWZb5FG31rqJSqfkClDLL1LhmjrasdTu7niLA djID9DzX3PJe2e1QKZm57pFLws2q7kKXr6t35XrBC8tzmudsewboQazCfYeDNifOgkg2V/2phiIT MRr8FshOBVCCrReMulQKi6vV6eZiQsl1bMO3lixK5kaYckRuPgMEmtwbXi7FRdbZTHaVqBZANAwA eNR/0LC5QjvIfS1LRskYQfXjnUKQikyygPRCsBJ+fAKB2bqSMEynqC5PlEpXQBSNl4bZV0Q0F4IB p5etA5fXEv+OdQdEP9oChx5TNZ9kBBGpoTevlXv3L6vkv18+xGbNxNEgWrpEgT/dvEE/edgnUaNt 3Y5+k+lZ2zSP+nO0t4S+xloiQaBdqJI0IW29yCTzUYWBMHDilqx+qWWUL4n65DLtAo+hr7Knuu2O /lQk1aqAWhNTkZd1buJzmHBxUBaoLFBjoWj7nQTshtGyKVvOTfsvASnkl6z1v41ufyXi7xvNC1+4 pqDYX3UenFXMHXvNNDmv9sqFVq1qqAzUEUxxxU4l7oIuSM69NIhK3WDrz/m0P82Msw3asL5QNKIx dTQxlJKLpk2Gkd01iQf3IDjj07BwON/aXBk279ljnQXWXHBVdNHQy0TOFj91QJgsUaWeA/TV5I/a ACmdmx+PiycePKSmdn0rlGsDzvZVcY0CasfnSoUoY/xOQfskJFiJp2GU/HNgP3gw17+ItXaDhNCe 5gefZS+PRl5XXnk8RcYlH/2i17peT7fcnsLukHneQn+p6SOAi5EgcFM2x9jWUt7Vk2FGjNWtHJUY 29TIIcyKeWuSQNZu0YROVq4Uj+GTNDlcdwZMz4AuNrZdOF5QHP8j3SpvByHCVyGCx5QR/7C7SosC ZFks1KOqDgIaTgRQd+5+C2hyV+P4zYRMaiMHqphyXJHnJ+JafKovjXkPs7IeK1ttyDhNfziDTLUP 7azXbuELE24TW3Xfd0G/YretpGAtRPOMgo3TZcWbAaUUObufv3Oomuvfwi0rzbOQuvjgBaRbSpwn qS0HoLfQ8l/4i96zPmnV0JX/ctm+rZ4rZLEEjBJGac/lzOsngpiynDeHICPPqU/2lVfDl9oB2C8E TPHAsgL6OECZ7ngKhkmLraAWLbs2Xuxky5Jac8w0mdNyjmSVi1/6l7HQkzSHgzc6HoAieu2bauNE NYh/pOBejrjMxQeh8023SmaYk7QGujX/Nv+JggCuV4ylcIOHK3sM7bUkcb9uPZGekXx5g/QH5If6 xzCgjBkbCAq2fHtFB56nI4mavUrVxXJPuQ6w8Sr00qNtVDlzpuinUmGRczolxFfTSYn8XGuZHGgo GZseFFlbR3zgufPL6KKE+l8GxGP9dhEmIPEyzdmxwuar0Ci/VkhMmSzPFNmW0UU/6ZKNbEYWyJHL +Kv0E0Pzp9NFthu5AHl2EYM/GcVmjnWitqP1qGRayKLAEMd/U6v6POnvXtUunBo4YPepgqyqb/0s uNLcos9kXJWkZgVckFj0Ue1KPMBO/yg4FTfwLf5xFkWSoPmXMlahY+pi2jPy3Synzv+JqIJ/OZPE BZWk3Vali3WvwouGv+zAMSAi3ELrAbkC0D3Gb4CXOn5oxewYZC8nfZuVWGy3cbVEA55h2mPnDCIT UjjfiXhtrsXtHckvfIZPL7OpL0Es8hit/LnwSRAEowXITS7NBJejta9tRHgxa/4rTf9x3Pt7cFDx uyP67Ut1uP5A69JW6FcdzxYEwUB77xHyKFxzi388LQyBoTh+bTPfu/eDVDCS6PnhWTjI5RDB17Rz XdG3cSdnw69S2tXk39HT8nylDpuMhyeTqraQVLq6N8zvBPryLrsvtsEsEZb5wsQnHTNd0o98AKWD ncR62JQLDGr9AG89E76tiiLUwC0AwO5yFHwtgyr8HCisKrhWDTR8q7nm9HWtTCY098liMpPoGQWT A42uBcRfyKs5wwQNWGhOgOYngfKWMR6KRf1YBMFOCfb2/fquWLQQ9AEl+3os3ao3vlQeiwGZVLcu 1GD8JRoTTxgcy+zoaJGmst4QM58Hnkwy8PF7mE63rf4IycVD2z6d+gWBjJqSO9T8dWh0bAF+M4O4 Bml06sbzvf6YT/5W+praxRlGpesDNEYXtL5atZ44z/WZG8JfQN5u5alCa3psyv47os15VagQkZSn WQD9WpLmNJS8u4fFSwUWNcq7kOevOV+EfI7/f9m/dMKDQnuC/jxLdfoHz9o7mJkDv7z17fRn335E bYURJnpbangehWRalN42CKmUooktfE/YJvSvlM3Y4EpOwuKX1rhLG194BRpSMcwhE0y0i2N4ifVW cVu0hpms92pnX49eg40fCWhArvViw+OxpBSVkAqfvMODUqzif1JdnGiS2dV/IbFGDlOX5iTksQCK qol0pJZCu5v9JJn4Ecu+5a3WuxJ/2R9CTMgEX12V7rcbuIfcumXrBCyzoeI5n8rFqmG4CIzhvX+H p7Y4OMUgEp+28Ux/jt4jlipddcfBR5v4ovYV/bbhxTx0SyUz4IGC7tURnJ6MsrU8T0qxvy0wYq3D NoDEenaRup1Z3fF/rb43HecphU3tMp5+HfpsGzyYWG95P9J/29Aoq38Foqq9CIPGkvDWpBTSRXZk DnFgBkFUNBuKp3UBpFk6UH8mf5sFgmJait4O6CX+bYImnyTiYtcuVAedgO56kSZMHmKcWuxhhPMN Dt95h8N3j3ZvY1fg/pocpBCVMa/QZzAXIlVqbc4v7fjrlWo/CKLbaCvGbXY+L1qupP9dE3Wc/QXw HITHMavMTZFhIWIDE5rTam55m1c3vLmrpD4f7ov9d6huFtSaB8uq/iVgbslvY88Ca/nxDrxoTMfZ GaFL/98YCOKS7/s1I1Ikt5y7fJ3iO5YIi+mtMiijeX2g2zEo0gNG6UPY1/fmmb8nRUEdixrbVAwR qsqFpy9WBiewGX5ZQ1uFx98AmcYmqToyOM/TXrlLtKI1JNIQk97nWX2Vwtxu8QXGsQvdU8tqV+V3 yZKRheA9qH6nvHHyO5yBsvj9QIsbbW3rUlMhLOsYpfJX/XgLmfwR6yaN6B+4vb62YY/IvS/4Pb/h p207MFwNnUBy5loytVSghkoh0mw53IojR59D+1cLRAqdAB3Tq0ozXzzS/aJYawHuZRXRrOKKvpoy E5FAFoO1ppGAT4qkRguICf0vFwyCc7ExTEsHkag0UR7wW6wggjGEHanCrJgZ/3NTQJGDKZU35kzd FCO3DE7kXMJuxZzpbE0pezj8v89A/xiGPE2/nTaYptC1oSHSRdYORDF5CM1U42IHRPZvqhIDfoFV jM8w2JRNi+TjsJJXxE2pUhmm334eqWMVh3LwYwni6GaKVXwHGVJCPHUwDSM7iMyV4NJe/1EAsMg3 ZCl/z3CZe7NBDLddFx69zHyzQ7LOr8Jxcw5+sbnHArg/hAZJ4ADQqeGfGZNN/0igJK3O3jPG9lbn VEpqvPDjPXXJCgo6bkiEqJefPzIdDSXJbSBT+cVZ7kr3fSe9S03NplkBCMbhFKIUctwClgebsBsm IMKjRbTHkjbPms9doUfG2XmgY9fY10oDi49a38xY1YLxnKRxK9uhoTcyYTUh2wqqkpXw5Sl0Ca97 VlCsT+57OhW3B+AuAIziLXxJ0lhC8UOx4/5IrDDWDFIz3jSPdLrCTDKnUkrYrBRgLR5mhQl1Gttv eUnxgECqjTdVZYfu1XJ145G3wf4Y/UGDJ55dCUpUrBltN+dhQ1I1SaIAtEO2c8OVTpp+I0gnzOMX eg7q/8S8X/HZFv09PD5x2AxBNqdUMsnj9ReQJfneBSqH8L2KgnLl0YOIr8jWJBF4BL7fr1eDtAEz 5/lSGoq33YxxpPd33k6UJpTgfavmTd/holVnz/2XosEbU5YgmNcm+z5u8OHl+Yffv+rRnLElxJ9m HbbFKg4KIyorwLe5Wc/jHrUwBxtUEt90NjwelONU8vHnqAHmNoF4hAlA6LuWAvieSjqq30Bw3PqT q2EcyilBqPrtc/0nhYWaQF1Lr48K/ouoRpPFKHuKlU412CyQ/2UEYouvjxAB4fyqMSloR4aa2vHi n8dZtc0hZVVqx0phI5/YDxET3T1GyIMb6n82zS/QXjxMxyjEND5L5rHlI4fhnMXyG/+aoTVMw1+P iQ/x9Fw+4RNIosHz7SJTGGqL9gWDgWH87ZM5QA/rD97vUMMZeadwEOtowEBJ6QLZ/KwBnbzSBpAv 5IeybrgWLJCqhJe8xtuR0DPnrQ+6WjyBsLOvqngRaLdiWpMtZnS/c64ghUFFJGelAITdymP6WjMH bV7z6X7fY9SEquxSUtsj95xSdEPYSHavYIrSnLmvqcc8nn/vOl8NpWeLpc3M0UxDeTc4oYR1ZCJh Vct7q+FpGA5nQmLFl1jGdn4WSNEFimweZhIbByLMEt3Cqk15QhztxncszvgaRay0f2FXopp2ahgc MPc+2p3I/adsfw04YNXo9pn4A/oK0LJHgxBLH08XGeBVmjT4/GRC5dwMpOY/VLqprssShkXPIvU2 ic/8/pSXJP9+dVPToDLK1SWweLkFsB6GybG93NRUltjbV1S9UfoQZJMdzSog0JRAkWagDKOsKWPB hB3kyA2lC7NqAp00mWq1QaHEVNXl2kNEN/hIv0Qz76rXZGcqz0vDtJMW86j02P219Sscboq3fB5J msfs8rUAXXevm2peMhAGipbo0GztDJ3ylZ1S+pDHc772oi5Uiz18Rrc3kyH0j51vd6aV9mKq6OSA BsfqfmJq/dz6c53P5cen3P3veh9dtcM3x9Lk8z0AACLQ7qonqJnzejD+fSY/EEHPzPfytgrVzslT IE3B62RYRDnLt3HGT3/S0h8UXZNT0/DuWSFwZ6j/njiIwkXjmREdxLPUnLk5Q02T4RmBwmjkVXhg wtal4UNgY2Ulbq1d/rr3c3qB2EIJy1/oHCMcsT+Jg8iTpKdPjmWZXI89A94lpLZrxLNx6Y2vdLZU OCUKgMLoCORBc/TtcXllpnVlqvqIr5/ikaEHsFN9jeEz8MqKgpM6PFYMzI4Yl/dZGBVT1S8GcuLW jyn01cblCWzY2F1tur3kHDegOWPR0kxxlkr7YTcY0ZZzaHIGXz79jMcXbql8LSCYXuhMI23eokJJ raxMDLx0Z34fPinslGSve5H8DSoP+lAvIhDQyEhusXslzI67dT1rNjRrFpfd2menk2UapJyzhMAX OMo8RveKM+rs4/nt64aILIDPIgEEm2Ae6otQO9zKtHQ3cLI6439KBjU1WDUnsP68H0vHZigaiLBi XdhtZtmPZmmbRG0BpVpOoxmwQ1Fh+UQUpibuZuhS/KiONUJGx1EVWuJYp3rntLaLrRHEhJH+oLd9 ZmCItXYCBVz2eFMA7Mouwo3v0ld7H3KR+faVl3vktl1/PcktGZiBFGahCom1aui/9W1zKUP8UIkO hVetOHbPzC1WVhG1Ho9CVGO05dgdxXAunQIqCwzAee205mDOOuFnLJH3IV+EEK4QPIrEtNv1ESgW SOTHTKgukHQq+1AOGBFj5mN+ZR5V1T76IVRcCmvKO0hvyTpeOC2gU+Y4oRdLQ/uaN8tLDQeZkXBJ CO5uY4Vj+yZrpc4nWbUrmMkMkLLusAM7e/DCFKYXjmNDu2eR+LHy5lxzKAGJMUtUyMeAEefab98Q Ztm5IiOg9HQAj9yZqo4Bta8bAY0pFWqqgjAYlSeBG6xsvjdobkTZm/p5PZ8R8KO+IhlHqVHDdaC/ DG9SsQQpp/wgqSAqJlaN6QTSrADOmFzhnqSkyiuGCa1CB1mMytJ0PMJ946WVuX/5wzjAL6/FhhWR WVzpdKVUlId9Hu5E8BKMG2KXX1S8VUfRhdYL7VPfBfFZmB4Ck1Xm54WLl99HSWEQjNt3cv1oe5j7 TSvfN7V4aabDCka3D0h9RQ8LsTPyjKgC2nMnljbpNAWren/JZfn2RUXOuW/XDx17UqwlPdnpHZXs gdrOBQWQ2NriADyvEdDK2pYOQwebvasxdcyyt6sf+z4nFAFHhq7V/vlpc88C4L7FjSbdWmxecCyD IXQr5alC7BEvuw/rIiSRFPWqoX2pO9XqOdkyItezosTb64u9+HgaX5vtFDPWubfz4AhM7Itg5+WZ by3H5SwJP6L4DQax/Lpbha1jsh+C3YgfiHH19KcVEs2vKNUEB2tIO9MmGZYu0nzrKrNBn07jjcuh 3Xsp5cIpJ3RsV1M0sn/lBEHbCZ/S1gX8faq6RP1pPvg3pMPlJA9gyP/uUByOde0v2fiWKNfdIli5 AE9NINzVYexjPVxyp7eKPbRmtYjCrIyCvK0kQwJtM+qHcDbk+XpAIXRmIa1u3eUx2kejLF5Ce0wU 3W5XQF3AHLHCkuntDwuvYPa5K4RRD+AQzPn6Sr0Hpa/IDErimPwJ0JAtLof74xIqq3ynDCHEB8Jz jPissabw1LPbRYBlEou+lQh96Ge0p0fbJZ/DSDINFJrzxX4axkzhoSdrDVqmkQY4jB1GOLjkYCcT UPQ4yZkD4LGUq7Z4kbgju824TU2c/9T0zAEOKxZHE97DtjYjUAuVsR41ajUHEz6/FTROVIHUS4NK 6Pzk4cl7E955/qaLHlqPnYCDVB/QwGVmtruewaKx2t5+lN2ULBXXRr3wjIKbZxa8m9p4pvY6vCFO gBKJCUiV9pFzdYQTsefF3h/1npvJplpq0rSXajuZeQJdk4Gk36tlhRJ3rJCuZ++JIKSZWncOZMMU M6Vpg0T8bRZ0fBDV0X7+pGY4oUn6qt4F9+d9srvXL4GsGWq/Uj4RQF7OixwWaqba7Y8DTVOK2ge5 ibZzAZHIs5pNGZhkjV2f+YTYvbk1aJFTfP5PvHPvD5OUV9wddFUPNUQtVdsf4SoBxBkSp8C07R3t 2rFHoRnek7SOrFFfj7/LVqKE+gmIA4KkjxnvWOv7e53Kk1xof4qglGniL8sUtmrHNPVEI2Mf2pqS /8LijuD+QJqsVAa/m6opLt/37NCm0eWTmTDGZ6qaSMcerzPMuAbUq7TjUtZU6l5SsZ1Ca4IJPAv3 4IRWTNSal8WtreXLijrYNW4TOhLHNhb0EWKEU5Ljk6AFQJk+wuGxNbMp/EX7O3inJuWVyygX9UPB P1QeC7GqEi5CObYdms3eu/C1tVOWvpc5sO2F4d+LygPHdz7ZJVMQroYHwrkvTawdPgtRDrAhC70c 0DMXtpE7rN4DQPv/BVC2tafzMDrmp82/FsadOsRoQ7AsE5KHEZFEn0pBTBF956RFT71zESIeJe/f pubgmn3SwCOrelMjew7UzCaR/V16y1f0MqhtpBrX/4EeWkvXAxd1rULd01r02Ge7doZ/RjdFktuS K7LeXyxuZ502QwEtElqO0l2/OeemH5EKm6TqVs3u9jAJ+Ui4tsmwpl4RKPLXP/BFvkmfgQI+wINL An2JFUU54OE6xjlgzsn6abXg++IhJtv1n07Ke0oVVEGb3gyTp9xztn9CYk9cNAvKhpQvY7AOXWUT Ez4zfAUpRmMQshwp+hz8icqIs7x24EhDs431Rn1R24b+F2jyy1DQ+xce3OccxBw/o+/8s/IOeLja RI3P4qYz0AYKbSa1rjyN/InpjglaqNJEw6qPNxUtDJh+8upruM2wCxylwI00XZuY1VZQKdA2NnUb Uzwee31+El1iNxLKhuzz3xrPapWrll5JQMwI0quLXKxsaTFdFMCghplU/4Gc2cbMO82vF+2k89Di ydfKADUwx+fgnwc7enbCI2OCG/ZD5nr/fr0lHlV+ShnfcIyKkSdQPjzK8SqL9+2HxEiJPlDXQpOO r/YHkfMXxL5cL0gN0Ce/+goVUAqH4qvNZTpdP4g79Rrs/KQ/56rI9QVH6tg01rBWKaLI5Z3+RLpZ 95MRxuBPePrOzz34dzQ9UE7WuWs1uVa3VbKYu7spG2r5wWBmMsM86J/afcShLmQPH6VS7QrkfK0m eT4e0scMlIvSGDKwzOCeSE/Ps7OsnclyiLnuYvKFhSDo+UgbyNOa8M3nVx8w/lqpvl6NWrgjZ2gf yDYgoZ54aERKyI2YvIQQodsBYp1JqKsfSGHGkQqLoq4jJg7Y1hux7qJIkxUAHC6wkVrwLB+Mgulb Tlbsza90MZRA4Df7N9LcEfmwZ+2DZZFAnN9URImzuoJsUorjo88/Yb7CHQ4YTXW05xvVhSIut7OU xrE4yF7c8776WGp6KQ442ke8A+uw3eqsSEqelWUbbEXHqHPzuyh2ZnRzOfqO0KNSapxBaGv6Qo3p KyYpUZ9Ey4oU/9TPLlu32FhGeJWJ9oIycalf7+86Hh9xIzjCYJ5MEB7VszgG7sUMi2a/4D/uMMQg o5q5fstDXJulSIq5m/7uLYDtDISbpHw9VzF1d5JCGkpky+OR1KPuyhSEcTABi/YdhmfSa5giLbIS RsZQLfBpjT6YylaIRjVvcR2d7wWotU0F9F7D8c/tAmsjGHmtkgu0rKOSGPHxGqKL2OhGYR2/daZe p0YldMKHqsotwdifAwpv4vddVAtEvRzyYj6j4K4SNUhnpeNtEuFnmEykZMSqfqkUG7Omo5mH3zrr WbqvbScxSDN1YWWfgcrvnbCJMxPJBGGsH16pYt2FqmjmfwAw/DZqCvzUL0JY9h/N0gfm8IGSlRu4 qEjYuyfuKgxAWrht7m5XMcAOYYbJRq/aZNY5NP93A1+L8EX/BZvE/4biwHya7kJ8ElpGAsP539ex M6oiALzDeQpDMVkhTxtxrkA2H7vHtGkIiZNIkssp6J7RaEQf8pvAP3VmfEQCbLUX6ML/ZdShNLBz 2lBzIkAWB0jqt+G7vaGEI0GCbhBGDxMDaNIaFQFVuEQKBP8fFqRYSQEUAqF+4GbcMZv0j8wgzGuK AYycDoAlU4xUIK9uEsLw4dpdx4yBW67BKrTWF/k60QaRupyKgM+26f6PeYdXtoOFWEaKTD3Le+EI RczwTfCF//de3hJN41i27+i2m9ggzIulY3ZMIvpRMH0cHICGbXj9fE+FBFP+5ZdtdDXkZf/a6Zgl u0ZvDZ495GxsBXbCd2sTGshaK5X+tmBrWe2xrNwGIfRkTzQ45mErITXiXLshC2aDWCiGyBnTRwix UaKZykCjch9tBIuTsop1bx9APU9Rsd5DYFxnxu2s6LKpC1Kr+B4= `protect end_protected
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_ControlUnit_0_0/RAT_ControlUnit_0_0_stub.vhdl
1
2768
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved. -- -------------------------------------------------------------------------------- -- Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017 -- Date : Fri Oct 27 14:51:10 2017 -- Host : Juice-Laptop running 64-bit major release (build 9200) -- Command : write_vhdl -force -mode synth_stub -- C:/RATCPU/Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_ControlUnit_0_0/RAT_ControlUnit_0_0_stub.vhdl -- Design : RAT_ControlUnit_0_0 -- Purpose : Stub declaration of top-level module interface -- Device : xc7a35tcpg236-1 -- -------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; entity RAT_ControlUnit_0_0 is Port ( CLK : in STD_LOGIC; C : in STD_LOGIC; Z : in STD_LOGIC; INT : in STD_LOGIC; RST : in STD_LOGIC; OPCODE_HI_5 : in STD_LOGIC_VECTOR ( 4 downto 0 ); OPCODE_LO_2 : in STD_LOGIC_VECTOR ( 1 downto 0 ); PC_LD : out STD_LOGIC; PC_INC : out STD_LOGIC; PC_RESET : out STD_LOGIC; PC_MUX_SEL : out STD_LOGIC_VECTOR ( 1 downto 0 ); SP_LD : out STD_LOGIC; SP_RESET : out STD_LOGIC; SP_INCR : out STD_LOGIC; SP_DECR : out STD_LOGIC; RF_WR : out STD_LOGIC; RF_WR_SEL : out STD_LOGIC_VECTOR ( 1 downto 0 ); ALU_SEL : out STD_LOGIC_VECTOR ( 3 downto 0 ); ALU_OPY_SEL : out STD_LOGIC; SCR_WR : out STD_LOGIC; SCR_ADDR_SEL : out STD_LOGIC_VECTOR ( 1 downto 0 ); SCR_DATA_SEL : out STD_LOGIC; C_FLAG_SEL : out STD_LOGIC; C_FLAG_LD : out STD_LOGIC; C_FLAG_SET : out STD_LOGIC; C_FLAG_CLR : out STD_LOGIC; SHAD_C_LD : out STD_LOGIC; Z_FLAG_SEL : out STD_LOGIC; Z_FLAG_LD : out STD_LOGIC; Z_FLAG_SET : out STD_LOGIC; Z_FLAG_CLR : out STD_LOGIC; SHAD_Z_LD : out STD_LOGIC; I_FLAG_SET : out STD_LOGIC; I_FLAG_CLR : out STD_LOGIC; IO_OE : out STD_LOGIC ); end RAT_ControlUnit_0_0; architecture stub of RAT_ControlUnit_0_0 is attribute syn_black_box : boolean; attribute black_box_pad_pin : string; attribute syn_black_box of stub : architecture is true; attribute black_box_pad_pin of stub : architecture is "CLK,C,Z,INT,RST,OPCODE_HI_5[4:0],OPCODE_LO_2[1:0],PC_LD,PC_INC,PC_RESET,PC_MUX_SEL[1:0],SP_LD,SP_RESET,SP_INCR,SP_DECR,RF_WR,RF_WR_SEL[1:0],ALU_SEL[3:0],ALU_OPY_SEL,SCR_WR,SCR_ADDR_SEL[1:0],SCR_DATA_SEL,C_FLAG_SEL,C_FLAG_LD,C_FLAG_SET,C_FLAG_CLR,SHAD_C_LD,Z_FLAG_SEL,Z_FLAG_LD,Z_FLAG_SET,Z_FLAG_CLR,SHAD_Z_LD,I_FLAG_SET,I_FLAG_CLR,IO_OE"; attribute x_core_info : string; attribute x_core_info of stub : architecture is "ControlUnit,Vivado 2016.4"; begin end;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim.srcs/sources_1/bd/design_1/ipshared/xilinx.com/cic_compiler_v4_0/hdl/cic_compiler_v4_0_vh_rfs.vhd
4
814552
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2014" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block mgBHxdGDKdFcNwl/Xx2WnyYZ7ba1BCdJcMSppx8JqLmJP1U5rviV9jaAKYu+vvTpty8wG5ySKIoS ICgIgO6V5w== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block igue1BkOrge2VpVQVRwbQ8pn3AwvEDZEEPivjx8QGiAj++94vrpWbiOuxNNKjjH1ls8/BaEytlI0 k+G45Qzlo4hEXwfSuLSzM8KYt7g93jXYIYktHgYGGNu3aOJWIi2cXvloY+pGimCQfcOaVGolYyH9 IhhuNsGI+eWWVc+rY1A= `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block gJvVWM2JGbFdLbLvMMWLTJj+1rqH54UUcXYKG5qFjk61PpU04kVJXA5qgHfKSfV47FFpOkWyN22u u0uLrOs9ox304vJgx35pHrBVznc5vkixPUO5OgE9z6hg6DGVrR1ICyExjIUlE4PCmmXZSgHX425i IFwgn4PSSI/h8v98oFI= `protect key_keyowner = "Aldec", key_keyname= "ALDEC15_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block t4ibrC3fv3Lns4KeFtgfU0Z9gO48OpMqyF8QTHX9pG9GXU6ON1Mwz9CGaY4RsDGBSh9SjdAjzOC7 DWGPrFvZZ60z4PHWFb/ltHG7ZyROVyTH8Viqlhp5P+JsNdL/PrlcBpWHVcuz+rDL86fTqg3qN4tx v4r87ULAdYZgOZG+e9iHARRDB6b25+mXnOkUNhUVJS6cxT0RCQqXSCPbsLnYNHJjZavqWKw0KTal tP9yKHaYnkC7UVygGE9noBkxODvffFE19n77vp9PheiDeUSy8Z47PUo2+siqo8e0gysEQHnxLlP/ fH8A43Gz3W+EXUPxtIzzfvSgQsbha1hgau3BGA== `protect key_keyowner = "ATRENTA", key_keyname= "ATR-SG-2015-RSA-3", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block PAyVdC2D1HyXQ7ft0zBM7tk6aL5JONGo7BfiBFDG10oJ83HwdH56LT+Trixib8Kndb3P0tw1q4K8 EJpmbkhE3fG14gch0JwE/KtiyuIO9lgG2qguhfV4iePQPuZVaJ7xyqUie4W+bbBSVvas5rv6vVX8 z7W2qVRHYdfXNCetjqoY2ts6GYdW4uxn6oqwhrmhGAO4YoqS4fAycbuHV8FOP/q3flmo4ToG/B7T bOSzfUIlSb0ea76VkzzwVtr6QJrrOqHBg6DD0qfmrUabDnqTnXyiGucIKAJwDo/cvtbYCZaEzNGR 0IBvCzC3/BXNiP2lgewJeUpK3r7ywO0EsZL61g== `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2016_05", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block eerX1NtxairFs8LyX2Rot1/JrHi6nVsYzT7q6CXGQY9k756B2QT2DwzPTG0l3px0LzPKCIrJleOv BChpaRPWErPQGpaeonA8qUW64CRaVg1a7oKeczCYx3KJLZJr4vazqJ6KmIQJaJlb/nMqRDfBAMzZ Hy9mUn6Zc3hOYohG+Ni3vbI2Ay3ZDCW5kiSquc4jbfTDLmWzKaAZLHg1r0vcGwUCEY9ZA1VG+ifo iL2HO0b7txc9Cx4idh2fyH9tk2Ei2/s7hsfT9jfH62NP5jbwp1vrB6URWjZ8p39Bf7iMK8yzZBCH MPph8zrM+5nJCLcrUf5zi2zCdvTE8t/M2h/tFw== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 600848) `protect data_block GV5zZB1TdIcG4F0QnFDZKt2A6TGTV265tEPI2dP+u8m+2fQ4MRH7nId7KKBltEvc6wFyZ+E8Cf4O +Wc0G2WLK4xgv/EuEX+prCARTv2Z2qO/YOoB3uWEQhKKFu6sXee00U1lRJnBmCezxCUuiaDaxVvo qykfP6931Ke3RuLg7ovbLSJA3qWaA7HO9imPauUgrFwuIVBfsn3ggf17Z2sPEsv4gEIy480Xpl+E Jou6auiU5sv/W6XN/Cs8CCobDqMiTtc+MgDSkkHyeYxKMMP4+h+Hrd3um9bUsU8ZXtWUNVXYBeIw 93jUPUXm8+xm3MefpyTkeRvKZYRWHwA4odqdmbIJ+fHy+iTx5sfgG27vxDbpBCaqic1WOw8FbGnJ RuXptwMq96C4HEtVpKp3jUwGT8rC259F2CFI/xTkKoezLIUu45b1nLxAWt/QdoHD00Rc96oOwoQS yk8WETxXshBwPb15iBYDBTnBXeI8LXFMxVSVH6ExXzxS8/NmoslpJJajKtbKTD/H5Qhr0uFj2MEV cK1952ofTqw/DdkdWpmoRH6aPzzLIkYVWJAikF2LTTRUzwzoOexcLYFa/E+AuuYmwuEXA1g/IByP 63JsMHuiJZRFof1sSuE2+1QxT5HqqHWAIZx/0lnTAsIObhaIYWWJnpiG2KWH2hccC0hI2IvTJeFZ t6sDMfDTO7USXK5ZscDeuGgs59j8a2Pdx7XmGPvH9m9Ab396R/gYdFUsQcsRiNlqIlircWv9LrtY /tjIhR1frvqqAxjCom0Jp+LCv9fUI6I3xuxxtWRRhnhvqI7+plWefTVgK4sSrWw41P9/jAM3DaO6 5rHHRv15WeiGZvvhJOiyQBNFvoAKH7eZzlhmqUX+2dHycQIxmdCsyMP3OS7y5nR2dSNSd9Ye02uI pYFcmXGdtUR5hiyBz+eG4fGkjFrsfuurFNZcytZIa5+it+I8tpH2zfwD/MD+yAQknMHqQjC+crMX SgVihNMOvgk82bHUQxFuwq15yJcr68wFQFUgy9QszWYQfhjBgTMQheNoDqRBcCFqdsvrqKMqHQ9s 2Zj6MDI6MIGwhaVIp1EKeqcaK0tkZPEW/flbgWTnHDlO8S6jOvnyhxEh2//rTN75MoPCpvFzLnPw bZBwbCawtLyResZrEqOFUnYVhIig/eKwqQ+lcnbl6nX4lU4hdZpWrYkoMFcbUl4oQFuVw4qY107i J30UOiNN0pIgiSAK3frHoFLYLpJTafp7QcF5rcOZA0LpQVvm0WjPqbz5g29BX4anNaNXg7TmEse1 nMYGMZAQ1ylLYel70Its3gpyvv70hxReZtc4V8nkpBPBgg8/6VqPUZsZrd3fOjk1LZC6AJaU2eN/ G/9yQkXPTI7Jl1H0iremEcX0FeAasOhDHKg9uEj46QsX+1lf6cfzmzZWLGckfHu8Nzf6SpLSj80L su2UG+hdcpV1IY7jU2mwDDsucuG/h7o4TslB8CxFJ4Q3nqfijXZYnvJjEP++rtuSg5XuYrRsaD1Q M0X/V9S6W6QeRJh6+uKECDeFTL30ff8zC+8aO6OTjito+Dzk0kbtRFdY0MO84jRWEO4dqdffJYg2 U/Gignxqe/yGnnj1mVTIwShz9jdsk8RzkufwUeFjmQ9yb/hHwG2a/T/fmgawSc3/GHh8yhhlTdGt KdvB6gpH0dMhLJa9sCzWqoA2T7z/2tvZ0AS9IumjbUOmzOMGdPpamRK6xJf/p9TOl6+yYoKLkKal rnSvNduLxlvmRXDBfvYmfjdQkWEjpE6zZgT9PjIwWfGzs6obrzw8j6T4d3npAh5Z3BrQAvCFDCgg UEPqxCMCK4cnXt0hOJRNY7aMaiw8b96iDa4+V+Qw3nNO6o1/h9wUsVFqmaMXhr5TgvKIgkmx6aRW 4/adK6pxhA7dJp1TnBigO0n4zY47xBZNI9ieO5hfZ+6FpicxTQrtAttm7W+m4IfX73HKipEstIo2 K27fBIQh04WrGktfFkZRPXyBgxMQPkceU4sP5GYx3pIZ68KtfXiauCNgcq0ELHdNT+/W16FjDlVD IT0UeGf65ZVWTL2BuTUSSqs3GrmX7WlZL6Vhq1kWSx/cgH7g8QvO6upRzE98JZ0mL1iwgLR1OUqE D6ype/KY4TtgSUvAAbI0pefbJ6bpDd34912zSj/ZzdRiEtpLVMKrf2GiN2Av+P/cqwkpPefpehoO 9SWdpyFuOhF7T8T59Zf9/DHZjcx3VHdPDG0iAO/CjP+4uxI7r3Uf0Gw4dqARci6df6WmBxFLdgNC m56c1ktaBk8o6UQ3SmJlfqVnHgjsAkjCiht2LYNf8Gl9zOm/na5VdLcjXqvRjDACNhnrGCHlNQGM u9Wk/AOj6Zefvighu7TqdStTWVoSGSM4LPON1h1KJUM95IbeHHLZ2MxMPY8qX9qQgILt1e6f417V Qbn/+4wc1HpQRInI/EQHLal5FwUEhMvQYlDVrHUJ3P1PhY/abEs4KCZeheRDuH3T8BMc7aMXmLsD 5iNtx6uIzMCgYWJ4UHnECu7G2RtCBRMq2Yl92Z5IXOTP+43Hh77C6gzVXk3a2IW//W4d34Q+MY0S OVXAMmrwnoGd/RUBlMeFx5JMnlJE5WVLIXr5BOoM7gxyRsatVXJWC5wzf51+X/SIORWymULDx7zr PMZfmuHJijozN2jYLd2QuivjrYtj1OdVAB0XON7WCwlKKlWuKEQQPda6MApc+xxlMSJpLrgMoAF8 LY5+ppT6y4/k4aviA/Swe7pALpuG9lB6VLkFQp2qPyDBMf52BI5qHs2mcytZ6JQhir96UgS4hi5s sHfUOHoss3pW7gjLn6VBkFGZ5BBe2Llfu+pGaFVSUooZDhCpvA8uFr+L2U4CjsYZoikVPmzPxBaj +9gcef+QSRCSyNrkAVcu+ChqWsAd5ymqy9JNpcsZ8eng4F6Tg/fG4rDNx7KnDh4eDGzaXeY+Zrlz UPjiG7Dc3v9AyaaunHsO6nM6Q2YGhTvH4HIo49/gZEI1QBT/bnCB4tUuJTzGXKAZ70Kkg2wh3RRT ijEYk+2j5Ig2VaueVYXNQL+FKXd5NjISmgVtdNWkVta8T9AkCSM3H5Sqfdge/qIYdQa0u/ILhL/D 9OXocikL/UwIgpF8GESMC9FzfRvW5hc+bmT581ax+RiYmdC/Uj3Ba/qDpaOd1uk2W+JmdKN3XzKw 8LgwNj4h7lnRhaXXB2z6JIxTHzucvbY3GrK25h3WutXdfXUX7Vcu469fVmN8SMuQD8gA4AMFUHoi rfk2+Dsso6QVkErQKVXTRoP7cQOJ31MZ5rFlwdRI1WAtjiL2KmMLkDRn4F49hvW2yXhxA/FkYp9n SyRLFYHdZ1WVeDmx2u9nw0Hem1m/DajnlwsGttZ8bg8+cP3WfFzU9haniBbi0CfxgAZ8hvGtFY7x AaQxFtShzl+0f1w1fIYeNHJ/4fth6M34XEiAYxS6ZTeQLC+Jn7Jz9MhA/e+YSBv0WC/KyV6JKRN2 vhV6TZsaHy2XpjKqKDMZA1+J6BKJGYcrzQKMuvCmvVetSIeDFX4cX7LxuP7h6m3IThNkQg42DTCd WCC9P1tRAfByEqbfVMIwjxQ4xeDSB+YAeyhqGwA1AS1aKS3qhVYnmXTlHFIj5Fb22XGpPDqvyLu9 MLCZUkaG1i6Wex3gtKFG33JHOkGdJ3o8IRXf6E7RmoL335eA1iImvT5ZwPnGyt/HpotQEW21P2W7 FeozhyyYgA1QiuSx5+REyfMF/TvM1mSNhPJNl2Dk1jCDTRGERGAcvrveJa8q+uobUdVRpTHcayV5 fCv/Y6ilfRvDN4N1MbM2C8nDHOzE//RF6ZbwZJqG5mUI4qLduzahGB/aGe9bY9KS4onyeXJ5LXNi Grik9bsexibxLkh6LTGEiyWyBZ6d8NZ9VbSdro9kOTTGLcvndKA1T8xcvTpoJBeSNUsN/OismDTY hKXGoVPckLvZz0gZJqs1YWDilkWw2JEv/goncx2+4XvW8ljsuQCyold9ZRRIZ+rmYxD61A3bOPfK 9ZWEXqWkw90HY8PCgppNFqBxXrd5JtmaAhC1qg2TKA6U5qZJtdpq0QHUPiaT1KSoj4aeBs4OEYCD EgwJkpWseL1v1TuBE0zQ7xFsou/WOZTwh+04W5inI9mcHvBiyK7aH9QVaF/SW3RqBKrEXUzLSHZJ dyHPck0Qoqq3Bj2l5zdqiwN/tYdi4gs6pNcdfBzS7z11hvRxdZWpzhCsyx9QlLoVXtojEOGVyBpT pMoU3i6JQXe29fU7hTVbcI0GXOapq5y4CwahVJhF1aCBWs8GHVtSNzSkxDrdK75p/zO6pqyG1dbB 4lxa9WuxL8duLBPG1XZRO6Gr8E/3XZsDng51WMAV0Y5GJQyOl7WBow6wiAHLxCOuJZJeA98TX0DL L1ha135Vv74jVnMTdM1jx6YwZHl+iM27mAfSKBA8j4T9ovUqxXGVSqzV/7aojKtrfYT4dwkWrEoL qeMpm2E/ffLCb/wC6SEvTEYtjVuIpk8QtsXj5r5jn80X/Kqb+Bb25LmTy43zG6I9bXeJCGeGqfka tdtKEcMmuoMfy0ob2gkfP3qw6luCT2vrbJjxsPXcllNHl0cYgb8xBPotQxj33cRsn+QryDSsGpSN EBedalkcCsz1YMBMEBD4j/tsOdyUnnlq2jmFF4Eeo68+ORJbUWHQ0R+EN/z+IIjI8lqoJz71RKeJ 1FHoKfC3E6rMPrhq5v6exde3BM6rlo0cCLC/A3sFLSxISr7jSXS1U4bHmePnzKtltmrK8b8ZRPNV MoEk5fnSi/42cjAOauxgYgAGRmrHcyaP1frdQfHhW2hoT0CdCt6wZkfaacioZYq9wg+Y/zlTjPSP A9D248zPIP8+ewgrBgxEmQt6PllX4axPJbXhB+IdJGZdc/2RCx3dwbHrcKsqJbkp0DSdBoxJjngk 7L/BUsPfOAlm4gJZ2nnV8ZA4+D9mWzvhUXDsbrUQ+CBgMKSZy5KvBQYP1f2C18Ipq3oB+paQOBzn Mv5YwnLfzv0TKXo+IlnmrwT3H9VUCfSn+P3+JTew7YrnReB7AqO9EfIEU+B2WBAVSnFmpw4RWn4o t/4+od6mcXHU9+Sq3XekraN/Q0E6J0Pm2JzlstUlFkWKMTrHW/zNBwW0Ak2aIKXgeSWrEZtqDl4Y fXsyOd3cBC4GrjnplSdCxmRMvq0H8JhYiVy27cXoBG0lnZidEj9MLBUqRX6x2dTNSiENiUZSI+F4 ovs8lx+F54S9krFCUYKmLRBElA8/O8BJuw3R6xVobYfhtobsOzSFNRAUDvSbnW9bWONvufyS8YYU ck8sG7UGiPavWw0T4RGySP8OpwZfllIM3ISger4ckumNMYZ0O+N/Ti5ntt7FYT0iCfRF818XJyQh Fuyw53u4EAEuW+v4K1MvwYdDVrL/c6MhGvVuei0xtPALIvuhX3mhynScSPEI+00df3lFmRAmyKOW B0YxOr2og0Kqw1cvth1WZYO+uftlLKvaprxwTmQhyEpn8Rz64/UmdD8z8Z9PcCoGFGIzeCUMDxbW ThES/KRW56vQ4+zGcR88jZdsznlHOQ/OYN6vWi8S56oCbtcmfXiGahLdUAfF3ptak0ySR+65y+GD QcP0eUVKXMZHS6169hWTNotuc1jkpiY48i6nkFZbxHQ9Qkjao27swbnrUlz6sGC7Wqzm2+ScY1FN c9ppayvD75/lqrmSF9Kao2KsEUijCDOfZug9uqo7wpdsi2BF0jfH3cjFjMZmFRO5qmQFjJmlD21A LRoJuZV0uu1HXnneegQgNQ9K75bZBALdFHSgAKuz4eOfkPuk6JbWAVFYLS5fOfK0hBsrWPA5/jT0 xUq8J+SISW3xX3P6YTadn7xnzvgbTDaOxQj+6rsGo0ATVbM6oEvCZoxuUqVtGJPIOg38oCicqPYS klppPiXcRfzSw5PqpQiXeEwd4pcRFQ2ZHkg0TItIQB7L3D6Gpy+xvr7APU/Yp6qRfDFwwLYoMn6R wNERRmJUIg3e5RRG9JbTKQ98DucECSIRZhQnolJoL8gpwcHWtwZp1PvOHn19QW+1iZD84ZN6DGHU I31rPvjRU00hJ4yjYlxFKdEC8Dyd6VzgoE8ts/mC1kTyFJ06OBs9xAZYC13GEmeDpcJlbfNtyDtI EjVZagAJatLbWiFvuddKvqc4mSmIIpGZGA9W8pqi2e7EmYOZBbrLdNoNxlk64g5JnvzMRsGzj1TG Dula0qDsU1UuRmuvSThPyZ0BS3HtvXW6HL63F8w9EiVq8rLy7V/AL4VkC2FyuORhBvumq05ntglP N88qA9uOoG/sJJXrIXOjhhTybBz8Qbr25pv3XFkhGFev4AsQiv1qpmx5auYO0MZKkXC1CBWS23qQ CJVkXCMDI2B8bRje2XyGzXLRr2nuOIclVpXOOl782EMv+2f5jsM6yWu1LEmvHtXHpKa2GJZ1Txob slNEPvZYxxdDFjDi5q5JOket5JD+GtCRVFR3tXsKQyjCtkZzfwwCtsob1pg6729BTckNi3dR2p77 VKVJ0muvQj066SQzWz2edVMh5dbSosefNQcUKfUM6lQdmHsRClWaI30oYGTmpnRtTGOis8whVHi3 eSmJqd9V/vxxJvKpZ0eji60OWs6X/lBuQrOJqtqTOyVFQLhYFD/vOii6Dj9mZ8LAbTOF3ke4MHs3 NZN4uMglFU3JYYNhX8QWrdhOTuyCFpV2KGOPf/RBkJvlDVqZBqw1noTVH3P1wiGCnz5dfz6y5CMl Kt2edAj9KmNpuD5WG/TI+Rr5vZYKn+bJ3GFOfuGvs2HzSosEysJSJio28lTVCYOKC6DEsomO3Std rG+hNBognT88whPdxAbagseqPHQH7Q/fc5WE7niYbLhfJxEDVcjuTo3eXW+UnRp3oemgJS9OTwUn BTb1bnOK/36hx4A/MEsh1Geva18bGZnw7uJnpJeRq4JBfVOp/GKrfRXXWcbI3yU2Y9UkLX8rTD2f 2VimBAcxT9ZiJdLW82FZBa0v4RL25d88AMR7JF9pAXPgs53TKQXcx8vtVq7NQRka9YSnGvHkycVP vETSWkBZFB9RXGIqNrbPYy2OMWjxDvBhQq5TtzLZ+Sc+2HlfF1eLxcP+Msyh411or+E1Gqx4SIsM vD9f06LQy30snQFsnibGpmbBJl+kHsKb/f9poY38rAIkB+zEy7fSpdLqY87i48rRN0Z6nURFdw0n axVYkBO47rGQuGQaFYoGYZNwckKrD9WmciLFPRa/mlJ+K+UgJmbFMLIDx/I9q8oTlYK/UkibEDVl zJVJ1/GLgXwB7U9lgi6hk6RgRPz9AEQH6n4S9pfICtVOh19OJhm7+l7/4EKKrXw/4d57zd1AbJDD K8oyU1lolPuIhhuRDf8MSQiTeBfTmWOWy7Ea6xYNqOPlAXQ+O/IDabUIBuLX16+qI6KIO2lIXaMY slj4tCd0f8Fa14espYziobTb9tBirazffK5FSNh+YTY3yr68gCdgt3riADQcLtrLwCdgWpqN0une 3OMTYJHUwXYg0omXBs2/cN866tOSaFOSbMIQ/uxjg0zfTbufXke4gcWl3vAFbI0YqIolv6XG8n41 0KotxXBa3QvXznMZdfyX/ymYCoz0tTxC6lU7DfJ1YDqyLCHb2TyowMr6Lq5NrcO814EgcBU6T+54 5w2IJ+kN3gsGVA/IqMjD4zHPloZvzCRkqNaSitSRm/AG988gHZWuyGBi6MSvmDn6z2fPQedJiKwJ az68HDVSUrrKHOJJWsdaMr3x+1M01RCalD2ckr8RksZif1U9Bt0omRXuCFmaIY6SBqiQGoXm26f2 L73dCfo4EjWr9Gq06haHNjdqPDLKgbIKh78FS6vp2mj1xTfKCtWHnaRQs8UmlFLTZDeBZvIf08aH +ZGyxk1hng+0dyyxHw5ip5+eO5B+mChYQ7AOwp48GQz5Tl2zwWkUkPkvTiwMXxugrhxfFsI+/T+Y ABOOgyo9KxH0PrOoiMd8RczJDHbdkTtyZxJLWXv9n+Ggus4Fn1W3+L0ZCxHpv4hyH62sfe8T8jSq r/ixAptqKzTUIqyXi8BHbIwPu1UxrW0IUoRM18z3IssHX+4IqhS5WPOLX9/Y0fnTmhFIaFIZqvWB iIdU/U1NJY4f2TlhUf/VpiuEfERsq6ZJZRpvS0S+GZ4NUn9WBx9J4q0KzI78IUWpoMD1/Buu9x5Q FIIN2IzpaOnpDANgMkhhW4JzIWoPn3+Ac4AuYQkyPLM/giMzTyhLqx5a/uHnBGxvAoDWrPnPRsRH PRUjARw2nQ6Sn5XNyZuVpEbej77UNg0Zd6Yag1jcrxFoyi7qQNmYaqA8g1ZhlsGkVqGdkKpbH441 xRcEjNVWdbRyVg/BwKyF8OsLXNy9TD7CHg6Sw29ZFPjBszv9QZ+OjYVt7UUwVKCV8xF+c2uuTmZh bM0txNkTDRJ84XGulLDabN9x0u/JzayG+mWQSn+lidJB6u7LRMX6K7BZPBMPfBffor2h3CQu9eim c3Dmpyk4pk1IgUDkzIKPNAoG+sPoMyBHnrgnATBB+U7vGHXijjc7u0lfgy43eK23ACd1W8NDcFIt L35VJiTFh5I8kgH8gFYEF+Y6lWDYBv2IY5DCraYvECeC6xt+Y5LlVzMZtZTqHUn4n5Qxy+9KkmrC 48wc5yttwFtmSj2WVaRd/jUlxbkSqBFi2hcQl+hv8xIqQZUKTe0CoimL7+PK9mhuRYyVyAOarvPT nST/GHMT7Cx3vsUONTAMzGHXikWMiAS/ms40wthz1FTqdBrseG4HsahxO4eJpn6v2qsYkbafAn1J cQ7aQodJtERprlFX0vIjEWmBmQ6evtm2xkekwC+y8leFLLmU5oTUZBJMHmhtesRqg97h7+ekRw9H DtM3mRG8Z8lggAVnuyf7boBFgOjQPxlXaOwa2Jpe7ZqSfvGRoCWQshGOVBTrjG6AF5uJJ+anHG/7 WNeN55cwLqX50tIdrKnHGdLcor5uAce0msbuVqSHnSfTeRLyvI2SeUTJd/Q/KtosRMef6BhFVbG3 zxAOyix1PFjw3Byhz2Y8zv00/lrQZhvfopjrW9I75BK86+5CWOia09dAKudcFzQj0tIRCwsd4K1Y 5eqcmXG82BfoJb1Tj3fOnDcucJk9jV4mDVGucnWNWhSqbYyBzzviKWGf0TFDAuFYd0N1e0PmuxcH 9GR7TH3n0vsV/dCd9xnehFZs3f0Z5tBGmvqU8fI96vW9Njh6ea/bBj282ziYCKkLwzg8K0p+bcLP L2lNS2SD8EfEwxu1GYNjdafY8wUWdDGBgJi9dajuE+LTPFWzoyPMyoF3gGSMBYTQKxhZxaP3R0x3 mKleEV35eaMnRuPFcP8l5I7TWe40CRFAJGhTMLthwts6YJ0QgUHit+mQAwE6qp+POggfBUTgzQz4 n0i/eDcCo3CMzDtR7BuG3oRToC1EC5m/tRTJjgoGoBdDvbUVKUvzHm+2fiatO3RxaMrTiNb25C64 xLcMolhdjVozTnXBCspOA2OcaFeyd6M0uwMamN6GP/BCr7HDWVManQ6wNOoWgy5GxK+SG6QWkt8u NjQm6n71b+bCMpmzyh7TmxiqG8mITWcwiaAX9WRmvkPW7WsKfj+BnfaIFPlvTB+TQyv1waiiv9kE liYUEPap3pw3rjn03d/66gJlgD7YU9q+1QvEOpMwUje2nul/ueJlTq1rehAtNpJYp/HswZ+CBSWf CtRTpn9lwX0cqB60OwRED1rXDQ+dzEW1gbWx0viUi0Z9mPawmSOaPy1m/ZLu6F7k9BxVyRWmAbCW nATwmvP5sr/n75GYZtqKlG1CoHY8ixDzL7PQzKJUshglhyQHZckz15VWxY3b1xA6CxtByPc5YiJB pWcyF79kEEWbX9VbQzDXFWYC1zxTULJVlu3J1ikcubrXtqUkJa2FeheyLtIHxiLamM+PzpwUcDLV Fdo8CCF2crfD/2g6JABufSulfP2NvaWhZJ5eqBUrn5a8stZPPDaOPV55NZKOnDLLJcVBkEn0ZQ29 YmRSEe+sV5ltXl6I3RpxXjcPgc43VWjCojeHw7HmnLEVYJ0LmxAwXhdTLr5d4zno9IzKez06NhpP K/en1zQQeVb3xGHFkp9kxcAm1kzau3cYbZHkqT4nmIfVGxjfcM/Yl3M5T+k97e6TPoBrf2BoV4d+ 0rAN7gaWVmYvJkST3Xqi8tVTlXk7ki9JODpAzq+jVBGS48mEbCDWuDLypjPH71fwbEnAdXPGglDh n0vWpi/wpHIblcFxfwhhUcyCDKJIQpVyH3HeLF1LN8mMVvEp6wPlI5sxMTUp64XPEaNMTtGjGxm2 LHDprEmm5C4YU0ykIJIi27vP+xFMHYIk+FiGLnTScr/T5BATpX4OIuxHSfhWhmgAWA+W2QmBfrcG luw+IzX+5yOwo8uI0y0yhZs5MQ+M0gGvGESD3OIX03CaT42t+MCRB/n5VVtWKJZBHgGcFmfNmrE4 bFVh6tc80grN7+7FvibbG+ftTSUvC2QWMdIg0AJGZwugzD57Ba2v9eUFB2PHxU64g+rsjazPaJrk w+HO1wmHnyYfVt1f2JLu65p33rJDrmauMuV6+v1SCyScjT+1tBloKoQs0QUwZHLK713CzVbphibg R9iqW/zbJw+maoAdHi/NqdUlikA6vB3ZOEguKC93XtqN2FmJsKo2oQHdOXWEc8HU4nQKbcUhzHHu lc0Xs356NsdNqS5Jcl0uaQjY1DCJyep9V17w/QBjiNxA0qvqDRF0RujmnJLYqyxxOz7HkhZfEkuT TlMHn/qhYxyOMNZFhdsJUXVCU5W/aE7JTdlrah3PtP5PlbvAJGmOl/KWY7InyOKQZ/j0EfWdZFiw MqvJs6BG0PotLFzfqGVKVAa2Uq3bNaR8+mYDoMQ6ezcbUcGhHdOPsH+KxIHF//+0cepuq/ejq+7v 16AAreCaXvzSdwyUvretpiWZUwRxf0NnehRx4EwQCRvvjdcVW/aOCXWiRTK4y7lxyvth5jhR5/3v 6jaX6/YX0vM40M1xpKCwIjOzR228fgYekPuSaDPs/WnGPGIo89th5nJbWGUMmxXycBwIjskhuReh bB7/uyYhahH0nqDyGwv+871ehTtae1gzuw2mQHwZCSqhRmasWnogwGoZh7zP76EjtoOvmMLkDgIA odN8LYqDLMNNZK/sZCbZtc7enfIGeUo6d7swqjP+INSg3CAGPDVIE73S/PW/mn2v06r2/y1gUlrb wNBWTy8h5orEapToYLJfDnssi2c0w9s+jPdoA1P9K+TmZIR5YpNqPpqDKXo/62QXHitxmd5lfFSA m+ZzvQ/THTKqXPltYiSLB1z2wpdh/ol4+ezRQbw+KlZZKeRfzoLPJj/gLwn6cJ7JTdV/gkAvr/TO MQhrGOCzsymbG43Z6d3YOXs2JZZRTsyeblqxQe4D0rM8PWtN80KXQmRTQCPfqnk2+CxPkBPQm3uM DgMbdSjxtozXNPrVlRA44C+1XK8054xXQMr2UnwEQiTUf5gfDMEvZJYFicyPalMisOv/ZRPufko+ GGN31nj7GVPnAFtdqSUfdcFTXMwxzxherypxd2RVcMHih862b4D44FGsXXi7OrEFhbAg5cXCP288 bhYWaxgNv7qpWuPKWbZ6cokqWu1/a3NnPPNxuNio7tShLpx6W5a5eOHvqVLydk8S3U5CeNfgtaLe zRh+mBOQoWtpMAvPD5it2EiIZ+TbPj71/N0Tlh+4fjEjHilmN8GkYD3d68nZotQkm0M7DdOLpLkd vm8mfuKSUDp207YODICXZjQZ3pQ99BsENQJttthBaFQYjtP3xw1evwUhd8RKFQUA6EwgWqCKIgTz cTDyk/e4ROw5AHBmWkIHIwCAVGAJHLbUDVFQR4PhYbwi+QYPVAvYfyR44ZGkn4Qg6ZVFmwdjVUTJ ulX2DMnPsUlQ4Fk5ExVqfzLc57GOKPjfcn2sJR3CBZ+l25c3uXQ1Xc670Lo11L6FRzo/wNIWb2IT 46JLWZgllFt63VxXd2nFQi9SN7rl6pf8E86rjmvsCs7JAlOkcZGzv76RsFJKO0LoRC8TfPqzuNk3 qD1mfnWd41dAVF1XFFRbHevhB4klB0TAhxsBXW4dSbBWCcVoFHGeTcAvx7izEqDs5QRj5sFzp8Ms VWQywHa2gth5l8OL+og5ppu6KAnFN3bmMuOVBi2LWdmC67KA7IkpcBBgO/RxpYej/KJX+hYyKR+g pHzVU56fZ+/wrRFWx/NL4F8EsXo09N6r06KxJTqVlx6sl9eyvRY65PEp9P2EKxQaCwxahPCBhnHL 369TmcJwqiIr/5H/uEocvp3tNAihhNxxV53vBe2uniLnWcxl1Mg+lGKrYJpK22oSEhekwIKEsqRM tP08iUDLSAkByMLXDfvISfPARuwW4Kmq5sA0DSvB6NBqljwtyDeu+uCfvpGsWS31SjMMu2iTgJAQ UOYiaYdahiQL8Z0/o9blAAvU6k4npZQHLHQzPje0h/WM8vh9QdHmstTZRPb5Wvaf3xK5sVnl6BuX TF3fAlhNnJLYD1dG4gOs8t39ypFZO3XG+NW7wWPR/gsxVm5PkiyKHeICo3gvH5wPIRdBn4RwFses oL5HQbPM0kGsm3rVL3MPi4Lxc7fZEV4JfhcWxeLulnWE20ZHFksRhBA0gUaAYgsK9EzCWRjTHaM3 A05KgSrlXqJFfAY0wR+Ug0yXiIsArORHgH20iiG41+Ij2sWvpiAvytKJcgrqCbCqNqYojJn9KMVI /qZlZQsp1a94JlsgADK1gTwa/u8ZVpS3TkWOIs/JXiTaN/FwVDvEIVUbuqDH8xp2mfDokJofdH7r 6DZYPTJFjD9bxHR3GZVLQWpRSONoj26DthbMWIHabRHB804z7Y+Jr0YoYFOyexUrJxCdPQxfDXzB wEKX4JPtM/a2W90PWxs3GrdTjj9npi9RZJfRwmHbdGpWOProb3uHLzvj4PLrTxdjEh0isJfYfEQe e8XM8bxRNBNRaV6xTjmGQq8XCEXIfZLgeFojGJT+xkE1vkFtunhTk/NMF5qaA7j05vXZiyvxvbl9 9qWuckbMh3bTmfxtCb6OeB9l1L5H8+N+xJGQ8t1T7D4YSYaQ3i45alK1C011OtvdiRNWAt0KT/kA p3UrRMBuOLHfG9uEhbhWKUHBA73oqBYB6JC1rmGVGRSrrrBYR6KieMuVIEWNkpvNeQ+xEKnbt8Wu 1FI/EaujltPPKNhuAJLbVp1hd7ubqL5yJ+iyEgbTao0+Hw11PKxsNZX8RjnHwnVW4QXZ1oA57igq YrXKM7a+xWZ7Ny7shmZOzEFnaEVBcWcSvTLak1F367dFwspZnDoj4n6A2Z6yHUoqOOdpD74BX0iU evu6uWeKEeu9JwlsdS6Flnfl5BAZY9W0o9QX9RGD+SXDBJIOmqUHYoCFxsUSYlBYk3m/ToTZQwUZ qbdmZcobH81YsLolkot0WLoDLt0HREdBnsgmw0tN9S6Vy7FXmrHNsEIBADzrMJNyXV1FzXJROIzt 8G5qk6j1H16WKMbHWC/wi5+FZTyyxzUgoz1Fd8/sxH8O2/izFrasWGKQsbvpS1wWaw9r3CCDttFF iIO1NQbJLtE+0hk1EcAThbSjppXDAde6b96Df3ROnSC4KPDQYVb1TKr85ECQwf5+FyYEuVI4gmTl rfIg2WkrzpocMTr7JBNFMT/hLARIigNw7GCaIlUudYwhR7eGQ1xe1F+BGhdhmczqH0zdTA+RAi8p QPrJAEG1xX6gMfeHz00cYDoo8mzGtmRHvAXh62DTHj86KXu8a2g/Be6n1WAwyBkIjHRLp/LYitNw n9WYwv9LEihjtfdIl00vPo4Kx6zG1TFLdOHcEUmFMlIGH1sBFDZ5XOS0WTkdslHQ5ycTw9Ruvk5W MTTqR4wPlw3w6/LUpkyzB4KQku7Eyv0Zu/U6NdEgqhbwbsAwBm8D7iOpjiqN/dXJaGJcYoCPMhd4 KdsqBXuLrlk/UyTqBU3gg3NdVpOuVrQp1es+BqGgzdWNT4kihb2od/TjPDIhm+56XlC+nXpd2fsQ QHQ7PYbdCD+sLDuhoLKsnTOdGhyJ8vC/PiESNhF6isty9xNJvSCFUycZRLYAljvAqSLQ+P7PmTwW T3rgoncf3afHTYrjMKMaWMh8NI59WO/9zwaDfrzzE+UhfyQiSpfbvCqzJafomqDiH8gLt0rCxsf3 kSVs9w1eLw7yTQQzM8sRyJ867rr97a4L4ZGWERg1s4T+qW1MGce10QsEYOAaz8R5uDjuU5zfEmBK zQbdTnfMw02+vC5+OlPN15nZ6YcgISiDjUW1YUcLIt3/rz3Y+2YdORv5LefYMOr9p3NErImiKSgE DalFaClNc3BGJ1NSowTvwuQbQ4e25gidtZya4Mou61aCjZRrNFqHqHQFb2Ziio+MnUJWiq0izGUp 569jhpdtzyr7NiTDtLkfJgTU0S9MI5kqhIHdcmexdrWmm3N1PnVQcsWSkuN9D5kr3eAG7dxjriAE 4FLKZitbhST+NCmK/BiSIeFtZk6RvqktNeEog7G2ggXgFgSCDQF8dliTF52u3MjuuRBEDFy8eEme 3Ylp15DPuebGReH5BGvsnjKKxiEDSISq9GS1JPk/bxLChN6WyCcEe/5k+2KBIAMV9MozLZqc4vzL getWujsxKJTIj/p4cu91435T+aUbOqbAxEkkF81AFlauisrQCJcK+WFTJcSAHFXEGPgwtsB4iVJ+ aT0pTGIAgOYKkKo9O006fnp/UZmWc2rZCX8NoFrEJB7twB3se2kvYvlP1IhZJiQhe5RYMsoQjp90 kIO62FVsB0vHyrHBRNGHVLjP5bdMmEwSe+C8KMCC4/mISekGx9EpbKBjWOVlJL2pn7NXIiFmF9Xl OY3LxCFZhSX25AaryJUYpyKUEqfGFJpOMJNjbsxkq7xCwi+cEH8sN0MTnJaN/LQ0vqvNxd2q6/43 ZP2OTebtUIZzLH6r0b5Sb5icLBygHt8HpF3Fdgz1dG3ENFkGnybbJyO2FfqndOQbhIK5k7sbhY2Z ZZl8BWKQfTuW/4uEea1n6xUMHAQ/7xUTLxY36+j/15qQQTKGBcpVFKSIwx8iFV6yxyP0sE5MgEAd E6BDJAcEoTn6hD8SvBQKZEeYHpb2DfBNnIxtenFQ1DpCU30qQMn2qE/A3mXq2ddIb3ttqopALW1M M+V+wBiy5RV/5C6Xuik3Rs6rTgmy0D8hwPM2jEYPGRmPK5MZ7zYhAKuuTwNsiWFXtKRW4eiOdOyL WfPPNzoQCz4m0ptJaUhTAdaoNPfWrdn8DQNejMK+1mj51D3NAAjYvCdn6lEfHPmQjXvPFVilaVG4 Ke3uTtxrJiBsTXRJ/x7QnwTdWkny2nKQ2GOrHW7WJAdw6340kMVqRWmy6RqwYhYgZPS2pQZKe6g6 v9sB6EppgixclQ8SS97lbVAk3GvQYDQxxkUxICc5+kS6lNQzNqE7OS2Wkoqk5dXrEzF6XALw0sqb v31vOuTQpQ/tJmEbgCuRHGUPimQQEMVFXRc8I2bNNzQLYLLEV/3x51q4N5JY6GWBxzl4RzkYkvsq PwEUdjFEHKBm7PXnf3J4lL3CHhZdswQL+hEPiM4vQv4bc23N3eMrPXUq/p19po9q7UXXRGSwlAQi e0rO+S4AXdwm3Hd0psilOWM4VBpMHDyl7qUfgexXqolIreDXu2LKX/UA0ihFbQaKUMdTqi2D0zXY bXQJkilAJKpST2BIJzknUVN2VXERhomA9TDaGP/S9E/1frPYakAXJL/iSKvOSPBw86zEfffMf/a1 kVZRBHAzw9CrRE5Zmm/3R0MFRTO1eW8jeWFot4vdNk+xuK2mDkcYPPIsft8eRjcOMrlrTOTkW166 mjL351cLMZvA0IKRrhM9PjiKCBpdKRtQ+ctY068Evs4FpQsgvXOLEGgoatEQ09bzyacPHRr2YdH6 /DGLndhwn0SIAMNiUPigtrUVHFZlpjRx7FW/8oZTcJF8NFM3ZcAw6t2QiSfWziwdoPTHfbQWb0TR XSxA/QgwJzGo9WXPvsPCXJv1V4IjwRB6O8e8fL1CLk052tpcJBWGLpWAacQ3aCFynzUOpJyBqNDi Rc1YZvGr7DsUUj8uK7GxJ9VOK7gF2bozf1kgNlcEQt+1Hp00w18b0jPBX/vzSEiiRuisp9DBDbmS UyI6RTP9azbWAHHFwh6JPDhxnuSlfFQ05tgb5fm0WxrK/Xz59R/HmJ4OGQMptNhJYV62kbWkicOl Zd6smEu/Xj6cWyp2neNvXsMhdSf6SbdT6hI6gYcIONOYVYa5DwVowH5BHBOyVCINRumBgGd8U41E sCNIVLjtkr0ok+esyGAbn+yMq9oF6I5KdRVB2ewusjjDhENgIxyb5mwYnijSS89WmORV8ADBfHOj VXlYmW1YYA20T6s7/8hovPZuqmpGFbkNDPQ0FYvbxBYv1uocArqLuoxDumOQMCALHhMtq2rvWees vQ5DBy8kd7Q4WICQh0rl3UEO1TyBMBV0RNNuVGIRd/WL7NjhPydBKiruAYhnn5myVWxxYU1VPbpi 6X62urQxTGGKMhuMX2GTgvIBGpLPSfn42KSnwN1jR0OIGL+1rrfFgnYQU/4TiVvHwBDwFGJXdVXJ UySe+7YJNwV/j5xF9J3aSQuY57nfzh/ZvYMZ2DHkBJ5geipkWD6IalVEBEToqOFVDJvD6OXLGMJt FUaY4u4q5UXIUOBy4X/rNK/ril6SpY1X+F3DCQTIYMpzc8/19sK4xEd3rYuz9axZSOTXj+SLpch7 3Q0o+pm76H9bBilQdJ+wTc8vImaEAMkxeIaIVIK+HHyxydNSZXrAHpipBDxQL4LaJqfChVwpHwmU G8H/s+IBvB4E/pFJzfpTzEVOiOSn+yTy8px6aMZ7dWECnmIJtgDgTayKWV3px/7gBmASwGMmlle2 nv0Rt0Se+pk/SnlGgO8YHEv3aDZAN0Nsq5MCkAe5ZWn9AaFsbo2W29QRg6AWtZ0UUgRwCeHUB6D6 czuiaI3MMF6DoRq6gb6E2/sDEmDRAgbSGh4twQjzYY5siAR3gOphW37Hm0gid9WHzas92KJTKMUc Q2/FYn5+lBlXTJifbz04k/vXKGIedC412aduQqLy1XFLHQcFZ9bHrOLd5qw/0H9osgO55/7+V5v2 uqumz20cC+0T1JDOoHSlHaLQOcSQSu9tpG+N4FTYVFNcinFdJNgaWEo6mHRaJm5HnBuwAH4sTtUf DHd8xY7d6T8/swrL4vaQ+e1F4Q3SUI4oB6/1GeNgJLBW32Fe7MUj1AhJ6Q7ri4MnmQHHAaQGGnaK 3NDRgQmkbB8y1JEMA4pSnZ2czUoxA82WqOS96mZNAOBmSFnzWUEkPCjk0NS0mPyC46Y9ofdju8pQ LUiYEeXS6FFOZOWHr4E3HAc+ZvB8Y7//sZN9uwzWJUCDynsqu/plcOpLmtSxuSf5VlDUpzrjW7ad Mgcbtz/dn89otB3L31uXmbdRE5KNnl25KJZ3zqBt3Si1DCzoNlVstIP+urKCf/4048a76lYJxAKP /rn1Cws+32t1HT8rWTWSaqcqryKBCpylPNTinWP6V+TgmGGj0QFipcIEGBlnXMBBmVzeBDtO/kcD FpMN9YPeuIGHWfIihoRD5VVH+SQpR+MZpiK80iZEooGsQKaYePTj0rV/c9n8juJ7lbHvF5iXjAD4 n1Q2S7w7Qfwxu5oqmWvaLvHC+dotdapmWV3oa1Y3SVYmzW37otdeIJcQQofcLS8A/WVzTeeCCRzN LcVdMFRZQHinagN1Rz6Acq1mRg4YT/J0h1pmHWQbgZbYUto6rWNeDoQ9KO5/pohvZRvGru9lIypF ofhkGLMBHOawfzvWHOEkBo6yrvkXyyMO9SMtE2G2taeW/lFNC/iPfR2Za9PhEtRTGWbx9vO8+dBf pQrsarjmnc1rBVI8Vxofao/VUb6eZ0g7t4tPdEDYGt+pcUGbqyYHuOdvt4rl0AQeTM+8KaDzRSeP 4lCsgR6kMmnVG6fy5OASkvbS8AmSFHMNr84yRg4NUj1vUNm43W66GZkVOm8h8z1Rsl/c9t4V2x29 dOCU/EegyVuwSQsJoChYnNinRdJw7cKPWwtVbdufoS0BGBSf27xUPyQLvOt7iK4oazespsBszFyx n8NkPhECuTortZiL0pnGwIxg4TZqayNUa2CcPTglYC06feZnbc195xOmWNSgK2ARCUkN02+ix4Hz /9UnSslStznAoKisqJwxfkKRckq1xfIryF8hrANehkuDba475/w+KlsE+98tLJS7gsdTqw/62bOQ pSEmKlF0xXu1x7Ku+A3eVpGRNBvJUUdlSvqLGsyMTfUBdZlx1XgRPQWUMGodmoG85uHfZBKE8Bks KcVtIYbZtLrFiCjh9E1ztZlmQvW/ghv97jdlwZ271UafqJ0WeEM+Pp3HYeopUZhj7nYPZqWEKQoa IdJ+r+MmbAU6Do5YwyFRM3Re+tG1E1Eg8QQYjCUckNR+5a+06Cw9BKP7qOZpa4qWZ1R0irkTA9Ai 5WwKsY5DRdQ3uD3dGaFIo6aCaNmWvYE73jdwg1q4hTbvLuey1jeQq+46/3PtjSKRCmv3KPDSL54o Y2/umQ/Gsm2a3PrRQQxvQaZz/K9griBSgaMUQ8/vPR9ZKQxfUb+WLWGawWRAWNQglrmqeBhpVo6H 8GLAb7LUTy5gIggM3Louwue61yY96L1BNWcuhHsbjeHapqmnK+Ljj9q+Ft3Wi9/awJky2kduU/9u A08L1YHRSGawokCZ+BdWbpogjcWMblHBG3gXcs2FjikvdI0VCasbpY6QsC3LOLwbEcRpCuTm790S njFsQyMGPYHN4spQS9XtrfeYNIaACjgPYWYXySYuOTPL+1w07JUWYTfGVh0Y0INmlFmjtDqfNi2N YjEbzWsXlPHAex2DetJbKdcgxlaUBDSgXabVCH7jf/lJEEcUMvBz5KG8fn5wpn1DRlmcd56syDS9 Tb6PgZ/FC0r0XPsG+/KG+SqTm0AeBnPTVPUbaCaqNJWaJ+UwDjkfWrrkhTkiOCP3bMsnGGosMOQL coDwb32E96pjvnz5vkZysM4Hxw/D4j+r5o3s87un4lLT/ri2Ow7j7TGHWSdfRsJsHRdvk8mnfgDk dbfGuMH/CaUsbSBrGe66FaJMMSGB/vD5prEfC3rpFSwTNJdeFqQu/bmvOBerI/oUelarSBEFPi+g b7h3MjkG0S7j5gLo4BQT7VCTCh0gRWt/LVq7yvgvQrsTecMzQVdbCtn8U/rwvlJTXbcGxyZ8JrvU UvgK15mfKqZllVO6zd4KXDqSyDG4JR42GQ2wVStnSm12BCpK2VzjNHf2Yn+zy9iW9+Xs3yKgG/S4 9oaHtqW6kcSDKcbtZjzISDGYSxfjXNjsyPKgIke+KISKekvWQYZeaWWIHXoDnJSGc2vgCqyarXzX rWEleeVdwAOmpG6avPoKYQ4fem2Yac+pgAT3mOmuFErI5b99J5nyjZZvwvV120KOQGjD72mLtK6X vVNuh4yMaYvBn6WBQLwveJjV+JYtkNM6lsXzrvjbPRLWWb7zrbqi9fhofWUweg5O+agIp+b82ZCO M+BTn2LTpGFProO2fMx99fhHSJW0Omkknhwe1lX57/hx+5luZjMNucqa1EUjHjGVqO1Skf8RZaPI 2maT9pvRGBUmnvqvygkyA6/jXY6foHIyFNs62EDKWEIg6v4nAAj3P3OtweFMGMYkjmo46jMGpRhV vGlwkrwmEepEp3dkzZhI7UFeF7C9XdYyEM3cLySS0dz3/2Hn3EUvQ6q13Tkgcg71J8tUWFzUYJiU uWJDF4cX9oukOk1PWlBYgSd4T5nZp7kXLBhssF393KeecuPX6WzEz6pzUk9SFYV904lpQEhfz+rF fHBn02l0flEotPIMXAh5eGF41KbuLM1tlV0GuCkfUjkj3f+F3g3ALv7i52hEOvI5r6Pa5nAI9yfT 3XYeNvsIToM/4aOwLJ36UAbGItV6yDmXW9+d08KOkpxBkpDBPjb2VxVs1Zl4YXLLl6iQVFfRPqh+ ZnlqmEdXKFJgIXu9rlgRIp+lDp3IJtIh0waJMwi2r6dj4lqc9H33s54LicSYZ8bez5u4iGRhZvq7 vPopCJltJsnXsot7gOR6f7MD6pYPFOD4Oxeb0jPO5codoQNj4fTsdb54yFDz08skNYUSU6TsoAxb 5NGdFX5wt/YjwflAKzm3SxesijeBRrFkqfmKs0wRAhFrlVwYVSIylKWA16284xUPDQTRwpQGrmcH GNOGJRGqD5SfuP65rGVICRU4z9n2crt5bTjq3QdayKWW5ZzTWwP0rt8b7WmoWuWF9DFyllxeG2EQ qD2XWcPrHNMRQSBez+wZNZwjI8U+TscoM4PTkvJZu74ARDyYBf8SU7NhXzxj9Is6Zmmzd/8dBpS/ H+E6CMY4KvVkTaFKQujwBg/5T8lQMYYMkqWFCC8aUC+zGaDd2bqpqhKqwSV4iHnWAdnKeImX65x7 wZ3XE4QkF5cwuIw4wvQB/Z8dwDTbFX5Es6SgzBgKHyzIeZXOC41xqzqZXIt3Rnsu4d4EhH+0VycN ZEfcE/qSc9F4HhXUb1FsSr3cuO2qj8yjLcLE2AuZEmkfL+bnMjUTCjRu0liTGULy+dTDWEal8vjU RFZUU4/a4F1ipEiYCD1vtBj0mb2F5F9WH6ZAfxlhu8NRrd/kJr+S1nX6nnV08hVD7vU6sFANZ56R SlnfqIJwQhXzWfSQPwGERMHGqrdCIOgywrXvQLyYnkvL6WSR1XJFonYiEAsKehTRrhBlVmahDObV 2ztv9KFBTeGgzvv+GS6OftjYx2+UP51IOmQyAAke7EAd/hnIWbJbt1uP7E+63+Eu3ZewkThqPrhk 3LZF+Vo624sflDbHlvPiN/l3A1IW8Q3gNJOrf3t+DiVbQz+Yasjh6Ni8BPfK0UZsIRAXdZfLgD4e VeAlJ2HtRiBlBn6vuiz0sKYbWyjh24M4n8dWvf90R8AUJ5PXrXhi3PQoVUd28jPUNUp8cF2sFsbN 4bAbC57yO45C47Ofgra7vg+kKIPkWEWxtGjIt74eZBF4g2KWkbUINbZHbFonOl+i4SlmWBrl6JkM 4lYuNy7ApH298v/8b4Pv4fR3om4ObZ8IKqpiHhm/k/mDTiF+WjEfaSD+BdoZ2Seordh8wVIUSB6D SrC97A0KiJm/SVfT5UiR00zpH0z76+3VXqCOoLMPM5bYeKDGTw+7/EBe9HpsM5K8VGMxKxUjC3/C QGjwe4CuwdyKKW82l570ozjsvQiWNia8XVd9ca33e/FF3pBCYqS93iho2jCg6yerByqTEVjdTb6Z oL01+uNibeL6GpqY8rG6W6+H1iXJ1KqfSjywbFPQ57jU1nOqW5/YHbJswv41JvqTp9UueWxam0tD QM27GH7dRsmrBwGfKSYlgB9PXIJh1QoQSu52sXu1+4vDfP8/fq/fNjyqbWnnNDItAsBG4ZCz12Sx 1AHSvLy5udn9UP0RFdQgrsUy4f3WpGgIOJb1XV5aiu6xWKO6HhT1xKrnH06onHaj1/QYd1OGXJS5 26WOS6YlGmrCb5oSi6epaokcKaMq9/BcRC9fogqg5BptS6O0iuJl+l5WFUrBZp1H6P0DOt9Y2h/p HgiGme546pHtTpzJ0mjFqlyyCluPUqQhgtH+EQQfYk4MwG6WFA5ya53uN6W13K+hCCQHHkBM2xfU z1BrnlrNgdYwp34mslQhl/Sky9tqFRvTkoBJ9w3s2v/0OlMw3No3q4fYu7yESwSKIED4PJr9Gd2Y zFRbTEVUpLHSdErueUuaQ5X2c1QITQEXND6eEB0d1Xemp74qemUnNwnF4648d+pGkSaHIFlWHRWH gOr/GBbYwBgQe+QDRnjlfCCwBTb3jHqM3YnNdGEIEe4kDShZFsUTbdiLc9FRU5v6prmfW+AAfSQN izr2yaM3nTWumtlKeQAR8nFr8+rmLoIH/FLwV1aej3suL1b4D7EJOQofeA+ZeYbNB1ozPiJM+7rV m10zkyVaMFkWu/NhZxafRP2MRSR/wwFdqTbu7IWKfUSMlDtEFAreJtolHRd1vOmlU9DdD/0lyO/8 U4O9xGzR8XEJiiofrEDTSQUkgrVTay7w3XbTjZFKPLmLNGT7K4KOlSqln2JUBb9T+z74qA3dkVuA wuluEs+QIiaEFMgj0iMAhtEUbu+qRfX+f0VnTuEj0gj42kbvNcs/RKLTIA9sSoSouMD0hFpAjhcr O42ZXkEHuLhL5tTtFg4qAP1++692Vj+ViTK6X0SzU+v8qDicPFFdD3fkmZuQ04YlJc5WhkNio87m 9dnCjJm6HBgmpWw1EuBZrTIU/sIWOypJkiFbItSRuZQLC6YzFBKmg0hNajFNkLcqmWAmdT7OXttF Xl1MfBppMwby+L3z4qDcftR7v5v3ZDKa5iydvaP5q3bpE3pne3yS842givTM3ttwUHSkvsar9S9k +0litIBlApa9+nDqDQjS5zK1fSjkLY/6f+/FaZD6lZ4/NQMpVFFDF6KbvwpWpjuF9w0EEJuyePN8 IAETvSImjDhOnszB4gBd7XyyDs0b8A5z/tXz2z95PMEis6A4jNM6VzMvlfHYt1EmbaEhaZ2HTz2b EAICFHQXVih92eaJqI310bCCMhu9U7/6f7oKF2XSdzjqwROS4ATgnzzZLcpAcrSPXRswsbpDqmfA 3PL0VW7AYAB1Ds7YPA3WK4gEFEul725O+gK1FbNSHpatG7shpB4wQZOBNvsj+2l+HIh2EA1j/KuP iv9H/WI96GMnfkQZdWUtGiU89TKB7gVwpOydLXppT+rmwLj8RylNUkxzqzSKKQJ3Zf2Pc5VbDxcq hr72mA5E5oCThYBUVclNgFEx3f4VgfcZWxrUnJZb2L5PHI5HRS6sQ7gXe2+s8R9qw2DZ5XocBDQ3 LrdxNLzLfXI6NWcp61277f672AVAl+91GK5GCfQV6tFXFn+9LANLfI+pri1jvrt9p9ZAckDlNMZn 6nrt3FOZKNViTnCJtRy/oppmyHqx23OTzeddA96q1HemQLamRirpqgvgsKvH0gAH266kvSbkUBrY 5lnwlQOzlOmtFc/8k7q8fUh1+jWjTHAAKocOcCsHyKmwovsmYNwncB3RmSu5dI0/AB3auvFkAvUp oV+kGrTQVLw82YO9vRlf83Ckm4tJ+VxdniMgKeZYoGlHuFh0whYKPEPia28O4DAwS0qEovv5iFJ+ 0FMC9zmC1I+XiNTzCR//1zUhigAMllZ00FV5f4NAnD2IEbjHBl8Yfw6h2pCZuc2I3bOOsEpGYCnt 4my5Dn8oP9cicZ5lUbe62zd66bzhlPbQC5uptn3tY6YgawbYrpNpQgHWPpdsC96Aj/TfEmF3xMVB ohpOZX/EnYDGtGafUHwx62sqQpp8vLytXh6jZ47eHmIa/H98oG7WAoJSSYxi3rsueqxHoJdI4Jh9 kknebRIEHcrFXEDUnrgZ96G7HKPJTIHyXemH8COvpEEwF69uowzs6VjibPqO3p+ee4ROVnYqOv9t Nj1u/6nqywFUmYExOK4jW4eLakNy/Z+9EWoLI5MjUNSduJZmh9iCObX9sZbfIbEwGC4/A8+FTInu qsBdSyHxmSlV96bpTtvEsyaxLEg0yYSnX38JBB0FJwfFuTLjQdjWDFdQ4ld7V5IHedFNljaEwkJ0 m4d5XvW06Y/TxnTWp6mVsgrvmBuphsHx14Vl6LiT0jqCl47SdyIxqw8gEmabttX14u6Ro7ZCuVYu DaA+O+YHczqCCHa9ABd0uqaqRKe81YAC1ErzpJ2hJjW1wvlOWq5IeIt7iIA0x17A5RSNIRqVnBy/ 9HoeLwH542jfI0nsrnTU1KRCBEbSoDmWFjFkLsQ4LSB2fXsqcyTnZ2y8U1mNt1FcDVEUyRBhAALw DRD9tTTT6GVqBdjhePBSSh1hXB47oegwZ1gWlxcsA+kS+Mgarnkzc4UJriIPyXxkJH910do67kPK 8lho+hifgTWbzG3Utb8yjfWggbsb6xDYL+F9kcYrs4koe2e/Ehjx77op4k1GNgd8UB3nwphqQeCC LxI6feyotDxCRzfrRonWkMndP5HW+AI23rK98Dv27ezZuHcDA5NKh91AtUVTLM/EyJP56KPfDP3Y 7mdPevNy3o8tjjoRzxZGBmUwNqLDjDsu2FyEjRcfFlJKZNDWjH/ChdYZD7tGhd85jQKLsXF0CRm0 cCHO+60F8q+xvTNR1HEhnTuoTfRe9AZDIWWEZUoNMnJiOcEsGR83YaxvvmyL1+mKQzr4udeotiL0 KTT6ygMqM6MHD1uZrEgarOrGmtl6kvGdUzOdgjHjw1AHWrcJ8Sra0+Xgvzi3Mqpj10nV1X4dA9S9 0GacutfT7xpCbCt5ebojgvwB0KcwlsVwfSLe1TujBpOr4MWNVqKOT4wRMPLt0zvYiFHkfm0qYGRl OTSx1apTj0w/s34btiomF7QRRUETJJuHvmPujCFuebw6zznaySqDxcLMxvg12aoeJCZL+sDjEqx1 KkMOK8qu1sdReJh7+08uvqOL3Ze+WdWZhgN/Y/c8V1mY+Lm05i0hgwFVfhhnOn4OYWqalpjOfN5O EK0Y69EuRDZ3ymXlS3F1emwkwq8uobEBGxUtRKjXpPVKUZ5eEz7vacDEkTLGpIv/vTugPSJ4lvw/ SAItE0RDVZDVocgUHYP6v7x4eSyzLd3PdNEBSHmJbZztd1R0MsFI3V3uQMG8FsmftUXHp5iYETtg eDU73sBt8dHFYuVOVmZo/e+GRId4+mn9A0TWTfKHelKdQWqkxCT2ZTXBFPYD2zLU51s40qsl1fKV 25OdepggRon+/92qT5qwN9SwjDuGOvLMb4RmRLSOg36v1XuvGj2j78tGR5Bvcy7c+uUXNmmJHkya cQFUuWwjPm+F/m20vXmFSKJCcF+U+pj5wO4/UTrwMD5BR63H7etvyW0WsBeYkH0EiSLCTs6xyHmv qm6KwqK7qO9YPWKOsAkZ7VDffsrvkSP6Lwe1toDI7dWhhefQ3PK4/9anx16wcVMJnVbrCKKIfNXO i1E4QQ6E8bNSBKJjHGLrLDYXZ4fHofHcAriaMDDAkEg535yJ131wOXhEOdtHkdTzmlw5q8Irq/q1 pYz8s2wIZfLmofkKmS5GIu3WfmqBbmIq7Ai8NkriY3FDUJSyCScPTICNv1YSycxB/EU2RDRYIOvv HhI6oXYr/NVsbwVf4bQpR1DXmGCSDnje6EW65l6iTyxo5O0HhmnJ9vpXRhjR0PcZH0/ynaksbwRy awnU5t5+q+DEbINsUVFbpVLvTitiaLJtWiTxOM4e3bBxH4ThWtLh8hug3sfwpS8ckIq0urN1tvgf Ekr3aRFPuErJoV1YxYH8iFjC/rHXliO3uLinTS5UJNZ3qU08PmQr6jHhefBwMRtW8BieYs0XkqgW /5EgURE57ypJYZiJpZKszF5ajvZ47Nly2yfWymnY3YgacKMKhpshJjhOjlP87/AZIe0ptlwKGr/o gkuhqshkkEHxM+LsRtSlhCARKy2XVIkaeSp0zw6Tbk2hr8DakZWxCHW4bcwnrdG96qJPoJeLwAYA S3gnc2O31xXbyNYTAiHX645BXHecipo9GiP5GLisOE0jggb9yi6wSiuZOQCahOz5PMtHeYy8g3u7 2KUdB8I1S2V54xmzJBV9AqvxK5k0iBoNBVewMZkMlJPkywpmv4Mn3WQwK8wBBM3owd84gDJwT8+z IlT7ARr1OADe+cK4jgWkHcQZJtx1CiOklG2n+WfftBTjTRBN9L+ELQEnj/VvKhb6QvvdTo9LIY3o oLs1omDXhyEZ52CQngWMQyzbdyLd670b3Tj1p3RAQAkDlC6xBPSGIfRHU3cJN/8yapLjaz3d5K4e PN4iP/37XjzllPjqf60ofGA4RWh/wYS5GhprBdC7s4RWy0TY1WqjoRHHufdgXNvp1+Vr89VBez/T /9neO+Gn8z2kP46bieWhip5fNa2Arvf/vOlh2zEK3d7LJD3yv9aSlg4LGYQQgOq0qKyqEZq/0j00 B3C69TxCDZWar+7B9bxk7krsU2NsqrbVgw/f3I14dgyQuLegKMb0vA4iER5UqI7cCGPYBD9KDY7g J9vtznKcViWCc7dwI8d5mQGEKnkVGRgAqW3BJ3EUf3pa+pYo0cowXtdHQQhbRRxgzdBjmgZV/yim jQAFM/Rh6eD8SZNTTsISxTrdcod72gJJdK5DQ0dODzRSJGw6Ul6oIM+G7D0hjAkq2Rq0k4XcoCYZ aTMh1BENAXm/nh5GG7kIwPF8XCQ/QJ/a+VpvxkjDoNvtAi4bDxlVLAWmzXpRzrASpdrKMaQhZQHS g7FIyLo5DNRQUfukcjb2iMKUSIXSOOUwamzFHAI2U9TDCljo/b24J4iguO5LR+7mVdL9FRUViyl8 0XiXO8KLyLkDeUiZPiSdF8a5dZhiEYzHWb9JKdFjwoLCrkClRRVda8kVS8ijxG5lxVhQ9XMBaNvO u64QuJkOakFyic4nhWULBimQfqAAv1s3iL1BkgIm3vfy6JGCv590VhdZOELacEhKqMG+c/oVLv8I JTqLYFT1zBBcuBP4Q380Ec6VLU1nYPPZWDQiSyLf4sv9ZCxSNu4yDfG0ZGtEKYMdVEphR/CcuTb2 DMvfjj4rpLCW75X6CMxAuk1rwAYW7OJ5Fbi1X+01NcaQphttWhEeomdZL8zMn1p27gRCWmnHLmaq PyzxpRmBZl5LsgHGQZ3HtNR8TMu25slx87vBtebHScaN+LITcq8AFWSU4UYfxTpdMpLhISBBagky 27EK6Ak/Fni4Z/OTiU90hvWU4AzFzxhw5W7ANdIgAjSbYIIREPpZjdDmt+JcfGeUHB2MSA4VNp1d bZWhLdoceNkzlT6lNGXt1RLHSgFLw9pUhn/4+iRb18quRwsKxbAGrGzhfrm8oknUMsaxh+WPEdGZ fcm4LLTCi7JaJz6EE6ojG/BCiD6vGTkTInDy7WgGCIreJwu2o+kLnJ1IoRHM648aHZiZDkqg7t1J ZZcCYxugD7+icbFtYnKFq6mBLIHXZowSuISiR1ebaart40J33XdLNN+nGQe8RO5F9V3oXVTxSQGZ UjVIKULmFQheU7Swnc6cEIbCskf6BA544/416g3QC1YRSanSORhVBoBqvS8Fed+OxPzvBvJDeoMm WIWTjRf/g9AaLVZqgku5V0hnUekPO1H1hvnRcK055Hg2yEGtofvSbU8oeJz9Z/Gc9LDs/7zE4new c6MQlGcHmsSzROfUl5iqvc1eKqKPg/muPlxaZsO7WBoY1Zv2uB8dhBltmIiNqQdaUZ3wjmvciyvF 9QdQxXJ4TYLIsLygNqKhrIWQJgwEZExzgeQAiZooflq8lItsHBLJZDyYzt8CRVYCP1Yyc+Xsx81W GVZ481+IvNokPYHMf3WTWyR4THajLYllkALYnFYETqNrMf6uvZiXrD03n9+cqcoFRdUI1DenxMle 6lwLkOcXWTkTiPQ1PYf7Inx6wVc99G7VwB/QEKSONC0DaFi5EK4ZhcRTMCSuQy3SNR6QBJyZ2vcI tUFeZzj2PC8fcz2TOj+wGoFQnHKUK2cSzOwHjWoUK0kY4dDUQucj7GcHp6MnxFvGDyPa7HZNT7AL ZqwyADvv/HHWCFLnNo4plA6/zc1OBkDtrhwSICQfZrSTm4hED5vLudbIEBRPiRN89gLrccOA5jfe 27JjYPQjDStI6t+7jr6cLlvTNzxFudyvzI58W4tw/J9Qw+FbuLCzWGbqB8FffzAPjBpT2qusFp0v C8Io+EMnKsguW/pOmFOuLxcztnb2qJHqIf+0escJbpyjcZvREtKd8tVgxtxJT3oMj9GhfTPqmwWB OtwA+Rbk0/bROA7wWyPs2KW+r1HpZPDnViQig1FZOgjFGgOkNeKn6VQF44agA9t2nLg43zlSA28w Z0Dus72ruEjlkWSybXTY9il9d7SbTrBbY7P4NC0FHt2vrQW0kTk0d67YCPScfZiTyim1Cb6rg6ZJ A0mHhACtmYCe5pHorp6Nfwj+EVNpMgO3dUoVMHRLHfVrsXgFix236SSgcP+/s/gWFSWKEq/FGF6T AfzHulD/c5MFx+/RG3/wSvYx+md/HTQq6+11ntlxJ78bFXFAQ9nVkubXX/1xaChNUxcpe/ZzP4ov 5UTeiG/xyXZSN4qR3YhnvxSDWrnHtxcfrjgxrYvbLlPS1XBnEb03fmEu2NrKTbk4ZjVzEWdZ682A xXbdMBwlQrreazaaAXP79PA9mxrQTbc7aRIpAKtWM/nUxex/sEttRnfJQCfe1qDIEHLD8CgI2eug 3ptJnkzi6JObpuF8XCtmx8RML6CgDGHsNgK8uyAEjg0NSQSIG+XaI1pqK6eEETs2C68XiyMGpwwA F9m57kXAi4vVkq8a3Hqb6//okueA1+HUEqpvzhuSHNryBxLQWzvTIIfM2244eqbsptfBkhD4pdJu Aj69xzCmru3oEBZCwWo4FwZ3e20SSYIMdlW4ApTU5VZgoB3xbUE36mYW0n8v01GDTQ+tSiv5gCQ5 3c2/fext+Li5hGfaLdUs/G5+aSkU0Chjfzs+SYshWTvwbcHcs1dS0WLjCpclH+x+bcSP0eoqHnF0 Knr5SmPh8HJOxaFsnW7iNorUqavv2xRTAxu2eKcKGBZRUf5g5+zcxifFbvJ7gcs/MpWzNRzHzn4b WoghJVIloTrKNI4lAJ+qYXgK/vWkZAmHFtmyx+vRy4rNaEtoKqxqZkNt7DT2UEhP4mC60cIDJPPa RhdE4zpOiHyKUNayyuJAAqOa41RweIdqiC/1Sy9Rk/lsIhpYwTG8RT/8EusIgE6JlvSNZI7hoQXq 3/cPFRImJhHwzennKqgKxLWv4rwHIeKlDrQMQPHhFAm7DDQPzseCMbhec3+RBrk6SpFczXYOq75G 3KBla3CtbtqtTe20S7Ly695P/XV4rFy7bCMMJTkhfyYu5iAxK8uTHpOUg3QcPnzhXrghV9TWV7Qj XbVJTkvD/0FgM7a/BoVh308u/7OMYyenip5jgZV86ppXpu6xX59U//CcDkELv0pfPNLhbZxhevBg N5ebkCcmAxZ9JJLKuUyH/44bk5RnQ673VSVocCdLsPFUQ9mx91Ct4lnQ8fMHFqnq7sJQLo324bc3 9V/P426yrkeR/eDX/hnECOBE6c4ia2mqDvjgLwWOPCChKdLBV0QiGgbpXq5a+R3N9I1ZHpkL1+2B cNX6yGn7Um5AcQfDCmwfX5xGN0M2Ow/swXIj5myiUpKnhewPmFVhvKTwPm1qR6MuKFoR/RpbDMwj 7sXAcA9SQPznSu+BqDP4tmsLOjU+2ceS7E59S4wptt2k4v33I7R4uy+2ej4t4ayZkNqfu7CanoYA CX9Dab3J7ll9BpfBmyxP5rRSozV66JFRZnQ5hbJMS0ey2okROK6CAB1u8qcULGL9Dq/AAY9aUQ1I 1c8oP3VBSuZg2XKe4VEGNYUzfheVX1AhsdEsppfLjA6jetnTkTLkz1gBWLMGTyV/m2Kk/hCYehDy K8CgKj56dGrAQiYM5Dy5uLp/Or0Pq3f728lnR9SAYnqOC8JdOimdqys6SHKwUlJMLTJXUCdFySGc BXvd1LzSxgYiYDMSe1A4yhMcOwMTmQKDdm8CFwllVKP9uZGdadtV4OpOjka5X+DM7F9EDFRLvmsN bi21kgM5CSAFDyq6tdhWkVXSIU1oxtdN2fB9Dx7yy4NV2LwkWo+RfBi4YpF70SG9c+ZjAvHPei1l X0vI2rKGRtkyES6j04fbpn0mHMSIwUa3uqUFMiEJ8rlNkDGhAG2qtu1sYgqH1c3n6VqBqXhQCbcl 5gX3LC9FvIrfyEDHZnPkxmlmr1/ruelm9I3lEWY4wk+B/CpNzweWKxWhrbL1j2yyA3YIAVqP96Ac 1YKmpv6tkXRRjfFc4C/JDXwNSm5gprIPpznPFL5+v7d+4D9zJ/teY3z18ToWACRhZM1J3EyantSB izJ3nUCtB2LNOBoPf3wIvjVrYlPA+SU7GXOdm0eRFfssPCAta8AFI/hYNw6sQNJffr5Fa5FHdEBr V61tYTOP/wGgHojdJITVWl8MtGJFmiDrl7q2QjPWe0ia8/yOSXzWp+1GWXZSkFjAhBAWEaS3Vhgn VU4d81KyQ52yjSfTR8exOCtA7M+27fQJh4dMWwwuiaCjlu52f0gqICAGxPWL1gSbsdPcsfPmRt1r vWf9MgElcNXepycTq1CpYtigQF6sQvp5hBoaYEjvD7ZsqrzYTzuqpjOHOzY/KjCkbtSG22sPKLLn Wgsvhj+W9XfAt45ZD+lHNsuc2inX2wJkxg0UQ+h/A8WgvsJbwt41fj+bXqBtFvwBo6t6BBOXzKzk dE1gruamam0rkRKUyREsciGwQqnFSv+QV/ingRKFOnjbHgsx57NBQpU1oYv6ZRWscY4M2GgOewo7 WG7CUAYK0mc+wmpTvWRUjaOG2jTkW1upA49rAoCgLNZ80BMRl+30M7l5ZnAQSYtF1k3/6OvimtTN ZXVgx9+IaTt6uwXjP767rbPKbTEOs56MSOR71ucMLokSTLf3BHLQInq5gdKC7/ck42nhCa2Q6KxZ LAWqRSZIX8ZV7O/iARfDkGfYognzrsM8bnun15Uj7b8rHEQmhY2rV74EI7kr8oosIESxOs81CcF9 m2RFh0MXN/UTYaFztwdF6cu2Wqo2eYpZdMS54U3NqE12ZDe/k6C36wPHDzCidv7ZxCcxnHFGizA7 UcTi58nsnI8n7xm3nqSXOwdd6iGT+YCm5/PTeHY4505RRQ5O7uJQHa2zh6H0kaEA+uGr3zaQdFJy 40Qs/IWlDYNfpe0PBnM/YDY1I41iRljn1K1dVa/kbNrYvZw8In6BVbzB1L20iWfZnu6Xv7nl5lBK +N4V9tM558RD5YQ1B2L6UWcpC0/+Y5bxFv0mJJw+ElqC1N0xhzyTeNp+bizivGWOELrecAc8dFEK mWvo6NK98UdEEz3cGzOhK1XcBKLp6TrDmXB/7Ef9Ca6CctNCvbwltXmg7zU5iqMqDy2alUZdbNUH KvLBWQuaUMmj4Yx3SdHnlBp7mCH1Oban8sdjoHDwzKDIq1wm3iXfMrmMkpQtfehXhE40Wu4iwUgZ ZpW90OHrX11B7b8zaLdrQLX4RCC3mx1Juow9Zq7J8yJJsAffRh21iPoksAAbfEhkOU0jBorAjLnX QdPMvzle1d9zAwqPzXcqYUjY7Vu0HS2zIgiO5eU7c6C++84WTtuK0jKoSwCj3gX0mOfpEM1Br+yJ JI4REOGSRPwuEF3+FYJ9iQsWkSqThgQOyJqXO66ATQvFqAQi+k6PKC0Yn5ICBkuB5/MjxgG/xSpW aD2O0XbVM4IlTGRCvz0hKKLpGoHonZi6UlriDppgzG8o1cJ/z8nNhGD7Xn4l8Eg3+Q0+TtDq9viM 9Zp0ftQvFD/qOuKW1jN++vGvBFCW4U2Ns+lGT3P3Hgo0H5jRjq1MghUiUxbQH1kpt0dLytF12M8l U2duDL4it6fKsxaeDdtOu265PwdJihkze/EC1quUq2Vp73+X1h1aKbI48nqiNdLvRf2XZJXd+qEV LXylOoyP7h4s40rYQh6mFvSWP1vCSLbc8lW4Y+3wQJ45srZE3nnlm7X9sLepi12zxdomZOFjkNqZ ymcSXhyNWG55akLtxdShfIWS32pKoOqBzAnYEiH+fKXlwjy5DPVMpKGaOjbmSxaWI18npq/NX14M PrzTLNFyl5wLmeF8pprgDgGwbnpayYLNJ4D+D6vJG4ka6S/L+16M3PPb/Y/mvGQauQJNyTo/FYkx okxiw6fm61fr4HqvZ+tZkPyJrHrJ/so8L2e2J4K0H+E6m/2jh1vRwrnJ505S33WVOKSqs7WrIJNE dxOQjrBaJ8ZNQ2EjLM/MuUarlgfjfcVXLu/4GpqQSMOHUkR1H8d24SNEu2E2xcTDc8QDngaJpkLZ KnrrJYSITQzS1ezsbRFZwFdb/f+ksHx3BVAk+ugSquUv1XKEF5iD/KKdksxSBqKzsrWbZRteRYyX zw8lQFlyibGThoBfPaVYt7zEUoIhwpLy28PiY0iz+X/AvWEUYXI77G15IkG6+G/kkK5itQ5cBxNw glcAgP1NEHf/6lhrQh61IPZPAT4sGyGo3LU3oekLOMxxudTVONbJvH5/WEM0JUUzzGtXjkU8Vg6i 57VrAsbkWXC0j01/YrSywNO/r59h+LxpBIrLqfPHR2mhVURZBMli7E4BzdYf3vege2aYVLwkBzsI dBw1y4vOvoihzXbtxpiqE3MnNQayf+u7nqiPZPmVJGt1wtx7KXBOT2FUxLVZOYwgxqmWinBpFy7z GfDPmFWXV6/pLP/+57u2oCpDOxyb11vkSma0DCfjBXFN7zYns0hKEzPvpCsFNLSQc/qpxXi+7dAu Xe/qoZLE3k5rwTko36qn46J3m5bONPEBp+myuxSk8jWAWMr6uuM5J7DtxM7EpVfJgw4kBMPQQsOb mgS5T23FcddICzn8MjfBWfen60BWsHF4xSSnrQXsjfU1TAJhCgtWILcBtN6ctNF4p/MSB2HkMs6v AOjNEZ+pdENJ53ANV5k+AGH+ZMn9/eQ8qXsjzPC/g/ZJnzZQn7RyKb2qNj2WJAgkB5ju3Nz5Aiui zWmug3AyimkDetpdcfAUGFrb6K+9Qo7mozxj39YGjHGrnlzm3GIuqR4ku7x6bxPs0YSMWV/cjAqV GUjlIgSFOxymlImPXfr8WvCI7q+jcZ7RR+yee6j2NqK/xY6DbPG42saKWAadh8gPaUilIo5erOMw ePz+aW06BVIjArJh25EhXQkOiHL2tRPjiSUkskA8VJmYBGxBvz2vZL6yHXMBcAh99h1jzAbNV+SU wnSOHXrLqq2wBZ3L0orHST5OJQMSC1rHfc2B/iv0o7TWUc7J7nC9qIhTqaQnEGbxps7isaatYCtk Lw2Bsnvj67nvdVLJ0WG//lnt99/SgX868+wnKaEMYWkCMenCvwZna9n6VnhxvAOlJUniyo0QOZTM mig0DSDbsjgln5MWOJ2TBlyu9Kx8EVAbfarEPK+SuiieA6SRM4kJZUMvFBg3zBsUWtD62AWogYKk YcMD3uurkJlO0E0xp+AjZRN6Z9QQEZtvqWXaUAcM0UtYjM0AUNkGSeqcSgivOF5O5ouur82Db2hT hGXg/S9S0s9I91Nvf+SqDb/Zf1btF7LOvKPXRQfdIIEcrIgV0N2jXnbSE3QIfiw40Of10D/O56Q3 l1VCT3xbKVw/VHjR0Bd/9FSN6wcN00lhEIrLWHqM33oTaCNMi13QQSE7rb47JNPaFsxdb4Uoajek yzzAgx4mOG6MB6VyVIUL0tlrHw2pbIg6VJLVRHsx8XTgMHs+2OnilX9x+s5xN7nyy45RusQ8R8eP FyRm2mhhoo/+LHnjw2pvgVQEHnlf7NBkWNhWspd+rMebE24MnnA5xDbJUAiGvdWTZ4OzT7+yS8Nh ip9OP+YswYqase2wE601/YFFarP9HuJhkOiRdOZnbwFooL9HSrf/Px2QJRYNlMNybgbNuV5vKUsN AHPZi/NAz2LuBxf0XEILgxBShKFzefWMIEhS93KiMVpmN3V4RylLE6Mmdn06xdeNQsccTCxMUgs5 fGBX24kmml4wTTVG47kUYkmjLq6ahNr2eku3UqdI9pTcvOLp9C4kMAnx9ADaTt2v+3/on47t5ZP2 ECXS9iolWERGuckDeWmgfpJid5G84EA1wNNaWpeMtIU40AXI61yJe5y5mLtFXZY72bTtWCFwjtaw d2dQ1u3CkK7xOZI8XG0m+4rrHeEJUqZTs4w9YbGPuFttvEo3s6Uo8PUQ+GoJkOwJSZjOtwMj5od/ +UTX7jvYGpx/TjsOVtDks/aLUpAEyiEUkUO3FpJpvwfyR5J7Qw+ZvVwjH0ebkZfrZDkxk688S9jB SCPUHsVUQvuDR8FC6X388HQvK+LKae8gWeGKvVEbYbfs3noRbJwMsPot/uBXPQdoogY2RcGWTDxk RPKhu+y/3+brNbOCulXLZK5aSMo9/ZtzAHumPO3qYyQ/5f26STZllwoIypuAP5lwy22GhOVkMhKF gwq/oidVS3egnC/waHLDEYDkjK9VG6PhAIILOerhBlOIMGpGY34VRd8wOD44X35wGuZBN7y+OccG 6TpqdJPac2nGUPOO5r3QTqRne83uLrYAMkrsQFGlyyolYa96qtXb+spfpgaXj0HIi8+GXCa5TFEf x7zxXOTm/WnjBsNOpAvL34HpW6e3xF6p5jpJ7/sTAPVd/sgW7gzyG3+oMGXJ4zNUjLhJ8OJ4llLA rrYU6AE2uWpNKrd997zsbNSdPQpYWpjAROOOtNkjFNgkWSM6jw4QV8vahl1aYAfvqOjcMiRezJo3 XyTT5rQFWEgetxI8RRAVx4Kw90kBTuZ4aXG3A8CTZn0Wc4IMYPdfAihHO0UmaODBOGSG9eoYjtRF rf9TOFSItE7izAfXxVQMtakiTpZ7qFLeTy0Jj4DGAR2m2iNnW+pHrLnl/Jpm2t749E3tBs97ZNnD vhXwZMJCXehNDZbjxNHxSJoET6jrPUCmTz6aO2MnKfm+1gFnNGqWGeX/g0Tad+vGcEq/JOm+NGpV hYatt6HShf4lACm7ZTopq7USniBuw8dr8OXprixKZ/trn1SiaLtjrY3NuiZPUdZ9XH07Y+XrGRgB cF2UPpR3bmQ+mkR+tK7oDjCHCyqSIfDF3szq3s7wqoimRP/15dHlAMPS6eU2lptI/10mUFzrho3N BNfTVBRuPdZgtuIrgGhYYgLH0UleJUbzBHqvvJelIGl3BRCQDWMT67ZXs06M/WG2+DE0oMYKt20Y u4zkYZEJDbASQYpgSdnoVEocCaZWeQQB/jKioOVV/m/PUJtZbb1uIC7acp9UygV7Y+8ax/K/+GuF HD1YNYmfM2Qj/RWFajXcQ0JHSsZlsRiYQE0ddAzduRqmEZzBb1S0KA7ipLyOlKQveYyBebJWQ2vW RjXNNEZQ+yo8HWdPilxjWzP+tAhRbWB0AuEj83RiOZZP5pp4Q8hmR9+ika+UspuG9YIZtkHSTXVD zhavTtCFzKQID2cHhCf+XmPiyE4OfNuY59NjkLp/Dk0TOXM/XeikdLlpvDqrFIQQ+Gf7JglsdRQ/ K4cnrSNjqeyaLDy4+BuM1usTvCSnJOkdFiBzfx9+2MOUWGFDyAD8YleLUGYQKlQekCj+3LnZERqk PCcS1Sy2Pv/CgRvi8WNCkcMnZvWzDuDVV+4Lj+CtCh2xNSbMska/0w18LjkGBEuZdgBzmSmc22TQ +JMxwjtANZV14Cca7Uns83gEqgnqcXtIkolpkZtAQnfarD9wJmIWpvwrziU3nLpAI7uALB2ZL1hG KEZrczooZOGFLv7o22EA1I2/ki8D8deL57HIKY6fcv2m1M+zYOG/lmRRv7f0xy8TgKmuyRCJAJg2 iGOWkvSEYb+X6F10yZXCVYaKEeYJJj+ECnmuSO4zYoHuXMqTRMTuxKDJgqLEx3L9s3DPPPgqXmai dDSkc3L3riTkWtgDwGw5X4HC1qN//WTbUH3BfrPC8vl1hTP1d+DGjzJFn8niinG0IIUsw+iJq4wf qvyih/VDo9u22Mt0adJDXEQuc/d1d4VNhKngDkdVwg0/4V2d7s8QmNe2fxY2ENq4bsx8nR3RvyqN wtgHWovgVzm0Bg2Z7DgDBG4lgkQmwjgznPtmK7yx4sDH7K3jAVVyNSOMGQJ6WGkuVv6YizTsrzmu EFcZmpr6mUurr0nmwzv0oGjTd6HLZ5AHyJj8rIxhCqCnktcxIdNR+ub+9LDW1Ykfhl+RPfWsVRFK Owldt6iunVfwh2FWD//8i7DplQhkpHi9d/5deNpeLRRKqg+Y9hbH4OFALqb3nvEcYOsKYn2t1DUR 0Xz/m/Lh/EggdZvUFyil1rG95ah9IxrlIQUv+JL5pi7X/ILe6UwwUTabPuuskgn0u8U20RTe/+Eh qpyEzpaA+loJPSS+rG5mogj3c2Bl4FoxMhzdVoFnPWx0+gDcsZkKyPI3TYBgddJgg7dBZ+PO2IrF ndK45AaNJxWtvlirR3t59hLluKjOmf5UXGjHWBRpSbE2zuMrT2MjS67HwVKBKa+y3Of2RSv1sZoZ 7HMtfzaStzEbpvFeUFYd8WXeU8QJTHOmyhxzBF7JmjrVEnXqdfd+jJ3CWWHxYUeoX99KJDvRxX5z AO6CTDSh1FKNKejIr3QmApXG5mNby1pchCv31okHMnTBf2hYeMjkwGbGMlecj5iuG3va/Dyupwbs BJen0k4NFX24UtcQiVwH3pb2s4yw0wuMcLcm9DOb6T+mn2F8Msys6gf45xTF/y4vD/afaM+rwF/H dmgr0Hr5sJVF6KoKYm2gACIJ7G8hhJA5pcUvqlWn1Amu9ZQ3WgMirMumI27UuLl6eslg7G0eBos7 OU+1j+bXCc1B5Fh2HB1rofCFxX75OLi+fyMOjyc8Hlzyx4qRfD7R1WvDokh438zgFsHIzeMulgBF j/JRWjNmp1MJZbUts529X/Gv6HUeolN43xidfZhP4sbizD1JSyu9ZqQlX8SPlre3G8obGJzl7UTv bTHgtX3oF86Ux07lNDX+mSqsLuhr9zStJoBexJZJCt0LOaTQdbaDOulwcbWP7B/kVxlVQYewLhi2 dIANlTTGzJD20elo/wUWkqGYtnAGDNqXqKo+lyInyXSV5eRMvaKSRnJjZ2lK9bIaF59SSFHZG8ix XZB2rYkbjI//ZnmA45SSzsaU+MWu0BHabO6PJbvmhVvda/zOCYNBkFecelKhpCjwA24gKRW3SwGO 6V7LDbhdL6Tz/jRUNBq9LLFFu1yhEB7u6hIhhGO8876terf+IQlFxzQPFSKriAAagOJONTpGOwIr cpOZvhc5FULGUGl9oiQk4tXQUPcMKGWsYC0nAirTaoMm7I3WthLWEbKs0ZAEc1DQwIFpGP3LeWMi 8H5Vu5qIdMieYSPV2nYF3mc5eNM9aiqEfXDnNHYar73VPGHKs5JB6MPD6UrTR12bn7+IM+rMfXgM RdHpe2ytLPGQLohvIPKB7H55kmW4MLz+cFI+kj6cS4yALM5f6CQUx2S2K/Lnf7L79k+uSUo5lRbl p7i4f7JqTN9hgtS+Vq5SVScxVV4ictXzxLmWGNj5rY17mUEulHSDka44RvfTD45Z2H+IGoDmxuXM v/Bq5x5TbQzYdV0wdmJo2O0qr7O1Vnb8t6/GyC+S/dcwciw/cWiL+a+uqn9OkMpHjv58eaNJg2SU xiO/s5+iodHaaslPG1WPqACf2Eg6JQkHvgweZ++QaMOaD40704lBuzzCZABnlT4MbTwL72YjWGgL 3W/k7Fjezwo9wZtDwgxEMU+5B6VfdDhm5pMRYpVpAFD534XEswMLqmrtnNg/YzA1+TlTao2XM2nB iycLX7fA9v2UvDZM97LLoMjvaItWxuzeJfh3hLEiEYs9SQ8d9n2kf6v1My1O8I61lhkuDEHMhBrJ 7nbLJFkKdxHi+ihlnRq3mr/iQqLfPuE+MRErZoUEImGScAkfK8ZgRuRW1wuFOfu0DGq3Qnpl8Q+J fNbNY6CIXxDwvVyLR9NHlfHlQN2y3RZfjNcY//KIFQGtcbHd8UfhIIqhpNyCiVY6u5UrNWpYSMqn r8YmG5kstOEyVG1wmy9foiscCcRJWQtvk9TgsWnYREIK6sq9GMP0khZQuf6apXVIjAWBqJq1n4X2 tKTb7Cba8lsGnmRQH0oIT0O2CLO34b0YhWGvcRilZfXUflBvy8HsQTHLoKy7XvasMShfnloTp1pa mf8Ns2FHh0DdQYEgChyrjmrSUgdVAFEPGdIEl3lE/op01K588LBOg0nr1tuSm6vd+RKF40PL/2bi VeruT1tIfxfteLvDuKSfpORHeEPjQDU0nx7B2FxhT6WAneCrTsgOamo0Uic8y5jo9Op9c0EG1g/P XuC2WZcNkHcnehkxLfcOzd9sk+MIFHPIjrSLMvvx/+DIK2lHvXoQkPUlJT5N/njgj6/RlWhnwJLq AuS3FdueaL7cpUzal69x6eebzW5B1AcGvBxVTvOBIPth1eYwAOWUb5++yDZ/lo3HDWShMDXIGhas MSWUpxb9Guptp9nBESDKveMUsNcHvF2njAQZwK/1RHjg1OHk1Wi4WJzxS5J3jYguhemYOBQ64GAN JQ0fM8qIKE+dt0GF7UqDvGIC3DZ+zk9oLe2ypnwT4qPh5qhmNsZtAjOyrCReV2lF5ZXt/xl+4hoo 4oEvQfW8Y4WwHhOK1MG6lxRL8OO/nGirIFKS9OrsOqin6/ctoP1p2R1Tm+wuekTR4c/qLIbjhs6o UfBS9YgkX/UxGU6mpHZ49VkqTl94U3rawigOsgZmLDQXBriGBsG+xCSuz3PTVlQJ0FcGQYkFWiAZ zaUY8vWTYkCU7r1pmxd9auJwTyTakHi60VE+Sy8pri7jkQxVRBYlFgg91o3ahcVuADQs7Gf78VEb LnBP9UYcjuxhoEw5HTudyx3vnxrUn6GxHqLvt8tEtqF6FveCGKVSwu5xcLOGiizmJMCRUxa96yzT /kFYpoyPwWbWpIkfud9L9VLNaHkiAlXu+YsGwd0AZa10YoCXt9G5d5UbaXk7k/WDUpKCCHJ5fDBx 0lKrH5dKvRQeVcqr/TOPcBj8KSKzfes4fjy7IVti2A30IJgLb90qsejI/Sob6Tu/FoYhXcCWCEkk qipAkUc2YW/uTJAzZR7HKbfn97XYvNtoDojO0paVXQudvqm1qcBiIHrZ1ggQ47zUqDO5dbEAHDAg UrThRcufjUGDtclil4yQeqrinjutDGovndM0kVtG3i98Eeklt5SbszpdOiev52QiRW0P+9gAayDu 1hOQLQG2rW5kIFa55Ur9ZvFLSgvZXATk1x3Vm1JBBxSdz1DgOpE6ZNZyYS/fbvADIEjl1T5XRmi/ RCKtBZqvj/+8Z+6rwiz5Ph1j4AbpBjpK0J0SsDUUgi+luhUqt44LWiXNsW7hpNoUacyc93SK15e2 CIIanESosFAa7XJAJ6ZhHcFx0opL9AVU8+mlXa31UB5vNwD1nAnyf8uQvCxt3H5e8d6SEkQacXBK 6xfuaIcb8b5ticLdNL+KSNt9+Q/uEOqRFtEyKYjQ6EKBYPafyHN9CiCsP3+mWHepCe4aV9+cAbkC Yd9Jwm/TEUZ1kykEcPazlTTmyKPqIcJo6fjEWxRS8zmh/MjMA7o3VCsu1k0aIqLGu6knbt7t4/f/ 7Dickh6pcUvc/xYzQpK5W1YCsT5A2a5Nj5fKWJWA39PdQi0gvsaChRHiIFNmQb29Ic7qDcOsYsKg ujGraPE4XT/mExT6Mejhz6lC9ay83v5NONNuQMxuxVN4RXHlmwIuHW/U+YNp36LlYINcbl8w4HMn UkClEv5H/UfxOppaeQlYOER+LXOWyyJ2JEOxKScC1iWkNRDABYDRH2cEhYh5L3tVpWM+E6WLdGXO Q3Rgt4QpcEFqOKTd7uEQG4ij15X/GBwJQs/EJOXHBK2C7JvorJCYFofI32f14xS7abk60Ql8nt8Y 8a8ZqrHimw/IXC626bj9Vjl1JRKgvv6CG5evtZoTpb67NGuaXUbER/rqS1ktKjF2e27br8DljzYo +/LNqxyXDDqfw2uTp+o87ylq9ZuNpdICGhqRo3D7U4V3AqAgImN4ILuj7i+szprmG425mpiA/lMA lP1UKVX3JbJqqSnBBOhjTmw8R9Y9EOLF4IGiOSGZ1Ju1S5+r529iOWVc6+G3cTM+LMsS+JDrJeSS hCtulSmnN3Ub/voJgZnaYzvQn59iEaFIo9UfIlyJ4wLU4x/RKvsmQChnIGYm13cXLLTZDNOlC1HW 2aGfD25bkjcfgaISfUpD0Q7JqG9jdP7rOhOAv1p15VcP/ZQ/L5dar+gpbkyNfanfsIL9iRA1dVTW mwEhm6RAswwImRiyVYuh0LeLAb7qKpGXKA6bo3yuKWbPUIy9H3fZkv6N1vl0zGbJzViTEf3B9WfY mnMLrWSot5scAeLJmKgXwIri7wjuQEzP4j1cyR/DtFw/JjhzmfuVn9fW+DwTlyjSU6bBT06RKvSz yqyLAS8uMoYxjAnHkthUYR2UhJzJ0qFBKY8B1z6FAessvjvQphSjeEdNwYRn8Ajuq57JYo4M28ru mggvNK87p54tZqWqU0SYMbrASxf1WRbViexRlpAync7XP5jJxykeU4OtL95lIzEhKawnND8PUkC4 u2RB9FR5WS3w2BaSngZsMe6Pbtm8ARtk0ZlOJY/yRVHwUxCWACrAAMgeViY78MHJZQFW6FmKdt5d tbzCzW2CRVm+T0V9DpMrRb+CJYNabPatkUwRFwsMcZVIkoq1Q0Hp6LFwaUaUMJ+wg52hyW/kyPuq XHinbGwKifP+XK+/y4OM3uL+w4Bc5RnfKmX/yvOkwhWV9IhfcmjS5f8Ir672gRYmn7Nm6Ij1O3V8 pRHjIdjqENvXBdDlrB3oYUInky3nhZJIf35VYjo3bmYN5wssRhY7Y1dA4bNDJgTQ1B+1z/r0oWqM ooWuTKf31aAyRTLOap2A8KfY7WafKvfzCK4SgPFDJD9UlIU0h8hjteXYpyGsz6nZXEVW1RduEDv6 juAezrIxFoQVTNxTsrrK+x330Ml1vG708OzoTgWqI5o+1/zrSSAujmKoeenP1XoQ++A0PHFDIoZb v+8PbUvG6ILdjmiSUuoJ1wRUIu1YiRHdq8DB5XR/7/YMpKTM5mf0BsIKwtrVVsfIfl7X2O5SRb6T NgWKmYXDKtaqv361UpgR8sCQXeyCMny6KcJN2mxs7Z0eYvakINyT33+icKJF13kqB1D0d8kmjS+X 2hmSKmvT9Hz8bfLZIJsXh7W26vQGaDjVv/d1LX3uX9HvdzwYNEAm6v4s3U8HJ0PJm3Z+v+QrJYbb bu9AvuuSOoxrFZteCeQR6YOwTv7ggii1PL44/MZ9WCD2lPGlBwJShFQpQln/0rpFhnKRsbvMEC4/ tT8SzYFc4mHXwrY5uiY2vEmjdWZDrzF9yrU9ztNMjAF62i9IRFza1yAVNabgVGrLAutLuZsA5XGx YR6Z+9rrZN60ukPkSGCq5u4ORsCHFvCzOSz6x454rIg4EXLuT9frBKTWuVzpjdprWAxullUzRryB /rNAcVgqKDs5M2GxczaUE2HgQI78SX41dv1/yVt5oiK637mh6ViklbY9BfAnPIl2QKIgs3SAbTFD 58ZDv1Q5jXYubkP6zr/D9p/Z7fDWMS9i113ESOVGCowc/qSipPbuW6z/JqJpbHz5LYEqipLm+CY2 Q1PrGn2hAf3J9P+aCCNH8ihqrbgZIa6Jhwx50cNbtwiSgB3Muc4eey+e7QQpZXHwzCuUVrbRaibX EC9DFTE6+66jcPVrfr40/lWXrZgimOt3TvTCKWjIe+W9Wks7gYhoFgKWPvR9rtW66LZaXrALrFE/ FrufA5cKhMM0kT5s5jW+IZ/UZynpjH2zVdO4MEEdreULrxfhsqUrCE8q+BbXiiVsyi2F/zpjptrS U+PYYkiO42P0FqCU5NIa/fmU7K8nsh0jmdJ3X0oyQ0yGE9chq6G+kkZal2x4qTcDNMXYfprRvbcY lC/jp5pWOb9jKR7+a3G5OnhyssEGKzx5MutH7GYPHidkj0kvmmgkCBKVBFxlV2rbirxcdhrPs/mp LzxWxCFsRiJHROYWjrVEc72PnGdYyLwzJQEW/Ac+HLL6vXDBqBB/G1KZRmCap5vavRRhkEDB8/nk N4+Jni0sG5M5/z0bbcsb6SZjU1v4Q8yhTNCjuBmt12HNUB+YdtHMh0WF1PME6T/0jr4rpaG5AYlV 4v0O/8Q4MKCpek0SrQZzP6VyzU34E2td2JYHUU9ac+RLTDtCtmjA1t65WpUh8WGxUMslPiqZu1UU lVUBeuMeJUZzl2XiMMNviueL+QBioUYeVYDwoVLCip84YDh6tGAbwm7pcgRp0eYyKRxIUwet3UDg BtxTHch9jHXeLmg4WkjVncM/FTdS8+TcEC/V/0VJ25tyv4xFYIYArjCpdsvKiavTS34mtivJUS7e bbciAwdXhSQ0hUWlkDZ20BTDe3cvCnZ/xJMbyyP/dHUv/DlnFOq+Qk54gJfvzwClX5j/696aSuh3 QXhIU18b2p2I5bdTj0c1GQR40+4yL6Q6HU1jVlF6vbl/Ntxr8OLIq68Xp3LCDtYaKr2qTxH20ynq Jz1+be6JIXwopCZiHnksY3vP5aiUjyAFzX4jUuLS0yS0w89urBexpWaVZyS+71nES50x4q3ZETcF E6P66sb5vJMeLp1MycmlwXA0d67l0sMLi5mV2HFgdSnH6W4KyEPKULXrHbI7V5tOP/Ag9+DfxwPQ R8QHmbrn9956vNO9az0FmgztGfAqYZK0mCB6NFcTGnymJ0akqdFQ0tWGAnAzuk/81n9s3Wm53xFX JoxGguGNs9q73id+nb50Q676lF/CO11X2tQTti7U/rxAUBeK5Ks+W3TdH+qVW9JUP1BX7MJUZA3U g+AAhNEtZyPco/o/q3XCI6RonFPzzDJ35pbUsyzK0Vbj3k9rJb7NltUFiLdThXbFFUCgWXemgqKY B3I5xE2XQgd8f9LSzSKc9J3Npk+kYuJ1guYoJHy13SYQPMD0PJJDtYeM53p4so+r8OHdsCJFqDDN LXGdVdznDQ+9DdijFUuCwcduoJanp5BalsWXWYJzaYxrGlM9GCZ1H8HNV3UjMjXw9b4wteWBpg3a NAutnQ8xa6V4O4cLyDe2/YNOxL7K1bZjJRaKeGPJAMsBSlASOeO1XdGzQLA1XpJ1gdYQBVxkzwpN P6cDI3HQa9wi/E59osoOAH0KHcE5HO2QhSSVxPQHo2LunbGi7MChEJsHuGzI9dsdGsNOooJOAf5W xr6skcZGB30kypfj9JkdebTOK+2ox1yive/afK/yT4KKE+4fYzdQwObk5WOuAUgCyc+vHAp4z4jL ijgTyyhAK4FWdPWqbmjhoeM6NcI/XXQcDuqulT9cF33gfbbwuwQHJTer+antAYZT1QylrdQr3bNN YlbEdQgrJkAA0Uc9doVjnqVAGz+KGdfH1SauJIMnJKQt3mMQrgDtNcZIZ79HKMb1AJYPHMAtQbFX 1y6DclUlpTnvfx0JG6qYeK2HV6PvPJMzcxjZa0tV/EilR22CyhZ5kRSCJxt7yOShgBTo+s4JdZ4a 0Beg1lkMh22K9CVvkH98Xuhgl0PClzPYPgRHIEjPbyMMYRr0tgYUFwgIhkX6Sw0mIfvAjQUFnkfd 2mRTvPR9uePmyXCe3T73/AEFDjw08DmAjr3JMoL0neZ1qbgIpkuB+ErtDzxUx+R20lL48Ci2Knz1 MUYYyvR/c/UBaw56ljyuN+dWaCBOvWQwutPwYedps/MV6L3yEaYSZUgDEh1ymdAAaom7KF7RAl41 1SXkfKqRToJh6IrSnMqU9Hui81hIUPTcbXXelD77eagCGUwUUvISdt6N5+FQzTXWMmSLEhyb879A oPAdjAUTsnYRQV0Azhny6GNURRvS3y4PM8HbyqJiRKvPd8MpUPDEthCR5y8P2DtuIqK6gj8LOL1j gRuFQwdjIRvkGMdQRdW7EWXRL9B3D5yBaBovitxaODL6rPa6/kQ4GB5d0Hs7UeyHVaP+jiRvBx+3 EQPtv1p/VRhH6IiZ926wFXk3xZcMaIL+IswYP27vfUxsNuSBNSVmxzsFtGEEPDSTm2J8dHbMdi6Y 8VzeVaFbICLrAsBPDTquVQK0VfkjKdx5aCKVDd6wqBOf0O7EiKWbW5wgDnn+5cIo0U878Cc+6eMA gF7rIK6GeZvxH8TdEX2/4Dsb78sOv1RF4IY3wu6nQygo00fKa9rtT8rEScTWOq1h4XxIa53Zt5u8 UmBvnWGSZyeyenVrCm7DMBtnuD6GoGWnFEfETQyQkKOfZ4y7xUQSfB1lpTJnJwx9BrxNav8NQ2MI Krm+uAj58Rlio5S4IqAd6TsuQzXLFvdNGeUW+GYNIL+94NV7RwC3jUGilRuu9aTi1RHljTtEq/j8 bEEl71Q0y24td/YeodZAfkpOHqd4/JTzfq6FW3Wms+huE+cJlXF3ZiwDlWzsU88UvJ4W21E3btfg TNhFRE+ApchTJvEiCTtQCtTFlJoRvxnRRX0IorzS53n7wgy/XLd7POJaohW1AaxI5/53PcCxODwT nVRCZvkvJIIyO/U0J76MAOQR9lhcqrtnJgpT8hB7ZLIPxJw7w0VKQmUaZF1klV6yZca1xTOmYOaU OxHRDZ8rw1+jxTjy2ZavdF9McvN78ktC4Awn1TcYq9xCSZAIzyt55cujZOPHxxhoymDkPnAV6ViQ J/p94r5gMl92Hqo9j6U7sCCPeZXLaj8xthoaMA0nJ51vx3bZu2VmedKthC/PxZ/eodDJDu+ZrkCJ fBMEujf2XlkjlNIKn8lYAAzLgpe+XCAC9D/DXEO5t5p2iw38lTpkzc/gRR7bOk1LSTTMhvcOd8B+ qkBOJrylGnPMh5VyrV0phK/jMVlPyx/pBOWbMUXurA3L2yrEUHBLxP0HFZ6YbW+rLUf/ne3W1i6v FWMBWwzw+fkSWU9NUHXSH5taFra/2EGtb7+mADSl3z7F8W4Oy5xYVtT0ypvM3R08Rhy41KFYs1/z nKAFiQDe4P5nd1SIuon2BGqB8sEC8ta1QEjWtmudbmB/gTEC9mpsDTh1bceafilFkX5ijWTSA5TG MAJqIgM7DQbJIb37tNN+0HHYCp9LizQdAOkQvTSwQQFue1Rz9pVZOMysvEpHXtTkc/FIk+12T2rZ AqCmNMkdYY2mbEUIdjoFUurN8c6TJKblcGOMlgZZlufEdebbR2XAzTJIKKmYt+E6PHmc39dTGSXi nbMOGmuxxmBdpKmRQxxjnSoMO7MVfBro2kZ2wipzo9AxHhALKOokuvsfAh2DenOOTJuqNvm7EGiq 5RMyMU//6oKqsIVasx/GjQzlA4sl3WsVbFb2IKQZVU1tCVx7cBZZRozpnvnPt4XFzRRCGPGNnXvN bOOjHoY1hJM4xEhA+YJQBDXWrnBdeFDRkyKzg+Qx8c/wM2fK5Z+XxJTRi5CMkPNJCb79p/X4v4+o 7WOPy0QwlMPSkx+MNskQj4ow15YjQiz+yHi8DWW4+NiwmbEx8GwuUk5ogr9UXuOA3vAJkza0rsYI 6YeILmMFLviQ2CRUvVcoyDqvxc8/gn5VcKSH3EIujBg7s/kQlvnWovG22NBkpAVRu+pESHPujZVB V8Pl39P1/HTJlZBzlnPoL5Vi+WdNBS9uLG/GfXLJXN7EY+Z4X/M3guchbb3NRWNzZBK5SqDKUfLR JEcI75dNMxP9qxag+dXCnSt4+o+Gj3MEjlS1MEcRAJl21LAGaS9uJkVyDHlfZ8jDKkEYpSitgHPe TN+7p0O2jNhqJP8d4/9od8CLP2WxcBfXfZgzldfcEe+4zWrvz8xsG8mI2R661TWqn7CV6mYtUIxk J++qtESXVYjgPoa6uq+ey98ofJTvVANKMJ2xE7HKcnBqtTPwaZoUyi1M1flFxkHloxD0PLfMB+3M HwaGlhGxpOCuGKl7XMfIQx4Fh11K3AZycUiCTfT4zzsPm5BE3S1mrX9tU26g8sbRxOWwGg4FzD19 x58ZoX2zhz+PS7Tn5BVTrJXRG3My4URMIGE4acYxK78MHPTXU0jqfMCMHWLkU2DZBjKyQA/xcdvH q9S1egNQkYdL/M+d/4TCRnle7SwoWuuI5dtLFHyDticS83fsr05Gx7hKMgW4xHWtHkG1c6VzKfOA YhzYjk6kf3cg/uKT07WnBQe6U0pTaiXi1lmWF53C+fxtbcLD5ftqTVkmB1NbWaotBHBjUZKlEFdO XaSwCxucxWRNQWggG9nucg/UBdrJBX70ZPJ6SaKNXxoBVErt4veTrItiDA56+iucym5y16Dh3BeK eNJ0ioIxLh1xy6b7iFXsLiTgMAThBFOVpUJSm+9BswgPXcRxNptElNb9h37skLCcXu+oy6Wt23Pn Z2ppQQaBjC/rsASNuJYWoYltCpiCBAE92LvUvwUh1sGYlB9GVzRMxAGJTmxaKBY1dJdy9QZZ9P/n AXM8eSnZ74iKBuhBiP75+9z9bjZSIjnOBvGtOSCFWdkMQGi4s1rLxfyY+REjmVoL2wCB3T4GzKBC FrXnWzjwa68dtWkGz7PvI5ONEBZ/9qSSzup2DJuJQlUh3XRM9CfiuR/rsaCHjKLjfv6UoAK54waJ IPATSS/Py/k1Gy60nUN0iCk9gNLDb6EYSNbh4ttCiKVGHp9GA3tFjwYoDGhjf8lu+Av2+zbusK9S krulKoDLd7K7Ib6HDNoZ0YSUvrjglVdJEtRGsev9ibWjGgmg3bh1zMQM/18YEQfkmKD8lERXhXR7 fP9TQYxEzjBBm+xuY5r/00pKZulLV9hfdUDEpb7oq8q/s8yYZMwdnVlOnhuIh2DGr9jQb3TnKA29 GAhNcUPiD/02xm9t+cbh1q6mMXNCH3+QDd7H2zRqwlJQ1eCeBXHOmUkzj+E3LF4nc1kbI+ULifEs r0lOz4SPMy6ZCNqnv0hWdmYbNny4AkPEvRGb9+Jh5sV96KEdOxRqrc7bua2fcQkL+dTIznBo8aiG cMbRBXqiKNcGZZ72gofQv8X7nikqBb3lhA1cNPaO57b5Xwaj6/pKagjFDcBpXnd5U5t9tIA+qTc2 +d/2XsVs1cLQeMZDNu4VXnMkTRmsc2nLGHdf+o7FJjGFYPtvtcuCPdSvLWbNho5AIC7ul4CwFZdX RhnDeBvha3H6sZu7Wg2bQY2KpXdRpU2/743m0fhzl6CWq15buJWdxxTINd2c2vzIU2Niaj7ANIFj 6Cfdh6H8o318HFAFBkuV9nxZBSKyRWFU8lI3RcqFaFUwyQkieq8qBIn290+YgLGYE1AgZra/t40v Twf33BaVc/f8La+IhxXpwsOmdFfiCmeLSkJWV0EnQYMpTOmPmDWYaEFHzXwwTT+wDA24K3QoVbaX 284gAMWPFLLmBR3j/BDZ4RQvbVIj70tkcHikQA6afgbG+b2drW8d8z0fa4hd9D9FSeJjMkqB6uir mO3epbEvrcMnnXbOH2eWMDauN7gYkCABE9yJQXs9V10TYA07yud0I3hZc4IHdRpENG9CX8DZpvZx 9vqEXt2ayS4HOtVCXqb4VTMWekSQvbneQuJ/TzxeFTFp57O+CIwpFdIZPMTFeQaEAKuXDTRIJeoE 81LADrwm56kb/qgDAFM0eyCAxjkm+k0M1z6jooUH7e5BgRZWit3ckjL8ZDrwANFzYDGWGe1RKBke Di/CVSzBPzeocGxpu3SiTLsHdtddADiFO21EDMbThz3hiyMBARzHlzYJVsQ+QJurmOBrkM1K7yu6 u8W6+HN3nGBYCArNxgyDy0E/PgJLY60d12oIp40j683737H1kgg9o5s5hSH8DJkng3DVp4Y6552P uaDvaLjbPnYRJpXvsysyCZqLA5tM6jb5rJF1xrkyXMP7YUAdW//H3CwmIaTd5lUDZsC6+FIGFbCf ce/y23Ioc/6o7uNAZABDs/1A+ZqDuVnUmTbMjM8T4qPMTQdVfbeVL4OYbKxsaa2NZRHnphhZwLo1 0utxO+MBERKMCmGp8wykyPqBg+XqDBCU1xYCDc0kTrucL0zOf/Z4kj0In9tYXZM+lzK6FkTTAPL1 WSPtAT4awxYHh9btG9RutqwXpl7BJUvFgSOIk/816vPbPLX/Hfp9Lp5XcqCfdfQOhIg47Ao2A+2A Rk9gXvJItILyWhZCh3SxZ0kvdEUVuWEhVEFA5MP1dS7R3H+BXjzzM53x8rBY1xNgwQOgDVySvVI1 k6J35UJ//12nTxFBNF7pDVNBz3Ft3mB7ic0aOBZXpmpcQEbR2P/cpNVHgBY9OnczG6Y6UqtRypsp 9pO2zZEOn2W24kb1uNXKnx7P4yt4rq9VRriMb0LJ7NcpNa53KYGOya6r/S299I5d3rWe01DTVsZN i2hI15lsE05C06FzCAcYeG5s8uZ4pnyxja1oCJR2EtxjpMA50+tCNiUslzytukRX/7bsLeAguYk+ PaUMy8tsuYqbCgA7qKmdK4CLH5p+kxM49PbIabqtrpOv0+D3Db4ME44nq3DXcZ9cuunsGk+AoEMW +JzTKaTWoB3hPVwB0BWcqmFzxNLl6/O8pa9rvcWR6qkBikkO7hD9anCgh+d30XlqsjsaHFJq20w6 A4B0BR5wrYF1oNI8RmGeMYt0iDBnQi2ff1/ou12qOVMBdc1rH7dPy6buQySTTYpyjXZmi6NGHfxK SqvYBwimDKHenqQ1e/K8VeZB0O3IIf44LcXlC8pZjBwH1CpVG4vXbxm6c21m0pYEIHxbmXl+g47n wraSRRcMx9WhmlcgmJmACBNkAxVDdS+JVXO0XSxfdxFi4nWkWq2jDSNYeB/yH8YQxPfe0k+DAJzh llwx7cjuqN6DaZNxGX3FPGcbAYCe19dZaomm+YdG29QWI56ksHJkpz5N7Z0sDIliYECL3VnZLOfL sD35B8vxHJfY8YPMM607JUIkKTY0UtDV8/EcDF2Y5i2RsPJc230l5viF8knelyI+iQnNdTnCCcSc xlBCV8RaHf1Zgu6yTMWdjsRghsU0v1mqeG2LoQZJdZCbEBbpXxG4KklkesncLK8OfvbTfLjLCqLd ttd9jgiUysiWCMyMpmnKkJJsvOvBwSGiK+x7SijfZHF+UcKvnIKK7qxc1dUegG4m3YHNW7kbBgMe uCwAlx7xjfAZ6FreYfkf8nhYN/cQB7FioXRk4u5M/gxfZFe4Z423Mu/zThyDj44BKeXfnxjcv5j6 JFOhcUhXmLM356vS/aHuqXYhmWK+pjd3n/VCt70/bd0PscRhA3MqYPKD7w+Z28LVvYYB98/L2vT/ Q42SNkMPXxO9m8bLGOWDXfy84e7Xr4r5V3AV0oUgI66320A+H5T7yaLSgc7w86GjvgK07wbN9rX4 oYuFGlCRS6WRF3XHRlCFfSX0vNRXokUfUgjOs5z2tS+zCjTgSEB3znMavarQBJm51ZFgRf4URmBf FpWrk3b6tIHCmmP04SaGZBLRJidJQWmXlTLO2qq2gVJVjlNLnxmxiAgfcP7twPbCI0+KSejxWr5E jccSHVyYyyJJvsMX2FLCkMBHzdgFmeVuOTdLI6x6fNbL4z62dc1fO7yEZIWjl6M1XLkhxC6DkMPt OYtMOKl/1e3pkIPIIjC4wu10sE7BCu5HC+3TWVBEPMS8ZqcuSZGI8FXt//y3vp/hFa+iI0Mfcbz5 pPvUMCqvDTAq8dDL7VBNPXCHN3MHu3U2eP4Njd/ZtJzIEEXvZ/pjWfGfxUKJxw5geOXAgka1NQqJ CxNxpDnM44qiifyW+TMAQMNceHfDXX745O2AU4dmekaaE8eOfVy6rCFYXNhTUAq8Bsi0ayRDLE5B c4o9TiakLQPP10ZlqCUYdyGurz8SxA0CZ41Ml549lpscJnblRcfOLNGBpCS4JRfM2ZCYV3zQ+33K 1uv9ltHldPT6oYirWRIhLhv/KfiHa0IoYg0Xve/YqfVv2JqNeKnGJ2dJNeX3HE4uHbDriFn5s9UH Cfo37sNGhEc/gyd1qMK7CYCSDbm6I562B9Duco5/zzZYDig6FJazIcDhGEgib3x8x0yyYqXSR0Bd Sa32qlqJUlfjgGYJC73jb4nwmC+uF1S8aPVetPVJHTmp2wzJciFyGE4aVYwU07OqMOdkAv0MdU0q MV2y7DWGZf8Np4fq/3V6sYeKeBOTn2/zi8Rj/ZHRhDrfXRYAUuuT8WiXFDCsDSPZckDP05mNlLyB 5Tr63T2GIB34KQfJfGN5OpmwHFsxNisBwGvuMEO+b4WIzOgyPO/OE7ejpjNOa1V7oULtpHpY+ZgG TDOgKOM4x3xz2C7mYO2ug7Dvy8E59htDd1N0gOetvprNl05JAF4vH5qGckI2bYPJD23N0UxwGe5d n2oDkrZGu2uoTyGx6+K9k0BK6kzToRN1aYjWo9B+nCx1bX4CIeef+ftfEAISmEbgFHQPb9Y1fnb6 lSJ9ctdycKT6QnZ1wHxJ/X7TfMHVPokpN3GxE+3DqpaPYKuC/aSrTl+Dju0Dz90Q72uU6RzlOB1f TddVazPN2FsspAsGgsUAmnh/6tC/fuQcZgqOjQg8/9iEq3VefDi2kj7xiJUX5TvFivwW8xsyffno lY9Uy8qoroQ0hg3TUKGp/vIq3qUekEJf+7nElZfJlUU3uSXGZda+ivY/WIh8HNBuIC12B+6Fd49D awzJzOStiF16n6H+HYRdB+2b7PYP//gCHFokfbOHtKfzbh5jihea7vEvkVsOP78lvxvKUSHwFMuk Nv8gtk1QyNycnflciolpihXvL19MySd1vlZJPrEz25gKl8Phqq0sfHFfpUyIVx8uZPSsZ/ueShHF 4D/3oPTCW2F2fB3H59AsQJl3y//uS+e9QP7lkXU+xjoJjGwSOkRWD25iNDhLChvIwDuVK1WxM2ho PiLJk9YkuUyjH0qLYme/PpwkARR/QusG/L+uc0iraRfeX9ay7HOiKt39bwmF4jHUeuVs7Ki9NP/z dQmUJPmNn2WiXB0/C0bd1Gc+C5OAZ8zP+b6WDYOdFFyIttY4DyBHLyDjNvYFbaRFJiWUfeJLuJlM ve+dmGwJkqpIk2o0qMR7wYuatCTk/h6ciHhEzmbUWANOAF9EJcrqfsGxCnpPzM+mNnEZAKKshCVf fYMunu6doVdH35zrlKAJrBIcJT15+vyAg3yuJAueMBv0b+enyzJ3Zg/Ki+TvLFCseTXZAWq9z9UG Itd3sue+wNKK0kR71dyhk30E9F6x2Ec/PsgNS9Eyb3x/IVZrLHAS4Y1EneHMd6rifm7EXO3wxNlU uuLazix1lNEuWHen9MzL9TxlWeSinlIB/bpLgDHAVmlleKMtj2Vn70KpP5c3VbFgr68gfQnIjiPF iVomUxb7IRHZWhgZIlT7uNUmpr0i0HJZb2O/Upmf6/ZgeVpmdcC2Y6VUrRkHxpFjjUAEwMmuX3TT ahzNM9hxP7wMQGe/1VK4zm0Q36ppTME9ZnVJJmG2ZBlLz2QIroIGUqAA6BiqKr4G5oiLwwnjyCYa ERbeB9RK26eAWDNB716GmE4kh4XuJpkGNXwMQ245iqHJ4D7vXrJVrCDIWE0/nronV+eMvICSqHhQ iPv6Q5ykKW3gs/sbFMJM05nC0MWDe/oeAmW5V32kvXDRTlUgy049s86IkpHYGWGOXpkWt0jTvokN i2TOzSif9jrZoi2VtQ/e+PImiml5wI/n3+1MqrwxSI0DN8Z5t6ciYQ3kF1DS2WRVBNr2Lb5QvhMl CFRvEtgnHyx/GJEBapq6/7GHSVtEdFs08mui18FnHjsgWbkZcZsAeqiZY1xv1XQqZhQ1vnGGpheS zepsyIobsrkb1a8IMmk9PQ1QV8xnSM8S0/OSvwtUyICGVrdlWTowkIXhS8aN5rbNCgvA43FB0znU aFrKn2mQopSzp5uCoqDFiEh1cZcH0S6datAlDI3hDr7fgZOb49DtnP1R7i9N1cb136Xxhymb+GPO 3tjRab6RdQY2D9ytzYXc1nOmuQxmDOtxReKJXRfen8qz3TtKxoAyMi3jiwsjqh80YhIm+9GrlfSN 9FqrFqUzhxPMYIPudEegvGgSi18LKS9Rx8DEqSHDuVf4LAQe/nP6lel0iIu3hctU54B7Epl+cQEg 4LjSbavLOTeQs9h4Ee0gS2y/QafWvO6OgUoeoJxQo5JAx8V7GPRlcn1uCWH3ll8QOrLANP+jtCRw eXuyLouGwIVkJqxV7eFA7xAXxTf497/Bf9QJUo5yli9+QZHfdiTTu8PcPvC0e2bCi+AqW8lc6LEJ +1XOh1+ojY1wrpbeAl+2vOz13I4h8Y1ieKSrI3YQmZGQ56r24nqobr2hHLfEolTud3r7sC4u5u91 VdD0CmcnefGWBs04yTC9UiLxAx4PniEnUbA0bTVJbRhTZk4gg3wHbkBnmiPRj/Djie2+5nmL+2fQ oaqAbSOeuwFhfu1tP7BwD1Czw21uLiK6fmoUG1LzJ4T4I0hTTRhrS4HxwHwkFkc07Y/KwVwYe72/ tP+tHsTpgAQLVIGLWfcNEZXMn2w1h/HnEa/43edczyANUdteOBsPuZfeY1zV9t7NpEyPsPyiOAjK 8mv66UGM5grnI325TDKJMdb4XzvzHPB8WUvtSUmBVr6uwoTHLLCD9F/o6qNsE+CEX5SaJ/kxstr1 s4oow6YMnp0A2YixY0UFrYwbqXzUFO9u5h6LwbFpWa7ULjYZCzvyPp8dDAmd/q7OBqCcE/5aF4FX PF0lWRrxHcMojpP9zAPNAiSvDhbiYkiDW/vDUOrFfP96FIwAcAhStaNyVrNcehwEglOssOdES091 Sw44t5r2SDedh3MZTr788CBLw27J9fyZ/eK5adxjGcOYt38gc/QTTP7WjfrvJESb3zcmPAZFYkDA tUYSKXnYfIlBpxYDVThyXWnAIDsV92Bmd487EdDHluLzbkppfSidHNYncGroxUqXnRL+IT3fTdKH kT6837RLlunD2OODqbYaSdaAmh2UbuWexMMgKeqM+b3eJ9BndtGMSGTGtAHSx4d0MniC4wvEwHZP G/iWNhmZ42QpJqLMKDAUe9bBGnKNLPPYXSfLB07R27eLsDwqQZ2h7yL/TyxrlWL2C9bMI8EaLH1S 4aW/Hu6g2BIRqMDKaOZ4+5Xce8SjS/HBBJ9aScOpBRzUjjuuRxX8qpFP9LOOksXqqZBAe5IGwazU Ky6LC5PZnz9lbF5xh4Z1Py+bQWD41pbrI+lojF9xjEXOvsfHvDcHMDw9zKdeAJ763skcFa9VhifN J8DHEado2IcmWZKvT097UWSwliZFGJrnsJLISsUbmvjGStdrz256gTHAgKvWVvm9IPGOPjjY0UAu DJg7plwMLgmFcFVedJqwm25VAWulLXduJBOzHLoZKO4mSnjYmA4JzfC3Mbd8vojV46M/jcDdvMUN 46YXELcSfx7xCVY8m/d2oCvcC748F3tfDtM9iJi55IsH6vRi+4kf0i35080tzpe7z3bITA07f9Uv KVJce7AphckALHhCvyqmJD+UqidOC1yGhUmBdjqLnavm1HVUjZAxKknFUGOiDtGgQ9Ti4vHB0dfJ CijVSa1BeKshDm9LtO3EJkWxCcAkoKwWJ1dta1ZW9U5tTX8oWY6K5Tazeek+dO+iAydkuK4ys9f7 2yDms70fhDuGtN2KZhY+v1FSXJ+HruoVkg5HsNzeslr8LvLXQAZID9Jhw38ELv9+ICXuDKOUbQDx EkZ0xgY2Yd5WYQGdfXBHxoFvBVRfuRoFg2j5nYG5kOP8/ThgaMMfyioo2PzEYkprvlX3h6L2AHg1 MT/LVd6U+KsgSOBgaULDi/r3vBB/P6CN6qZR1+fp490Y675gCjnDucUcX69qmr9SJQKWzYxOOKsm oCurzhGK2se1SVw9ZEyW7/jQB/X8g2mdL3J69XkRDeVUWCcespTYKNUmAJi+NWyYCYTgJ+qTQdsw HxCSbuHZVUN514eqHNPqaHpo0y6fvCVfnFPjs94zrUJoLcoXgQyU6WQl6ja7idVep7pCC3rYYa6+ ENnuGNobb/gGuAX3oe8aoXDx5KV1935ZSy4/F5xPPx561WMv5RABfUTfkqPqiT8fF+FxB0u+TBSW XRaXMB3ggu3ryEwgPyF7RnC5dKT6XoupxrGfFJCwMGH3qlo+4XLPKzFfMS/I3Xyfvx62lM2UzxzZ B4qvqvPSyWQ6UJuRqNxBjqKoyrpq0DNXRLZZTCPdXakzDibuO6HQP1jGdU85vRxe1EZfwFrxFT4y PG5nfYGU2RTdqp5s+Ugm6ZtLa3YgTE5aVHkAMGDOsFu2NlM9k2ERJdhE+w/1hvwVFsThN/GHZXuV Go2VEnbWHaVd16mVLp8SXVRrAhnLNHT2g6WaTflcnh66q1LahW6BUtZilZAc0YXsV0K32uC1l3Cs vaSWCZtJIZ0yYF5ip7SjM71aVQu+ea9Ro+kfg4FsSME5awhVhu/nSj92hAhaKYeSqvOZeu1n8JVn fSQP7J08KlE2ewoxNj8bCBHknk+fWntVgY8fRX059fPpTMEiYZyxQ52aZzExaFIhTi0eJpHatOaO wxiATjYrTod46X/a5OmOQh+tfIACCdZD9Z6y/Bx7a/Ft61NOfBHi8PqU1p+kLm4AVCrEwgInjco+ nd/J9+ydGkAcgXBuPmDzjlMbS/0pkAbwoPMH5+O0gndzZYwqpnGzQocDA9BKDuoSW+zXd5ujK9xe dyWyH3VTEfywgkQW+HtHyiNMuQqaUC+0lskWhtGxQoY+vwY5WNtdKmlMKsZfYk9R88lb1fz2pEnm MzeQ+SWVyu7RTFryBBHwQ3tcOAFyWgexEwnfzLNdD/0Ze+x8Kn8wfcoKk7qp/Ujgh14eevHnRW/v oHCalS05LjZle9qYa4AxPEnPVHU+2/rptXoxHwE+QLa7w3bXeaxYp8S0JVpbOyim4toa/E6MTaHQ gs6goLb+7xwwzYqETNXABxWlsiuIkSLv9Fz50in8DT+XnLItFQj8bxKbwwPhXvq3rdNJRIXV4no8 EWI/4I11E13H9Hsm8a9fhwnWLoF9vDFVVKtUaNqOLuLy3nBMmCOPS67XiwIzgXy0lkhaoERO6zPz hLhzsKgUeocmWQNGQCMwA7C6HTw6q/JkZ/EoytWEl2u1DhVnvvmwqZUfT9Di4c7aXbmhFMiEM8C+ S/aBRS+co6LgR2oquU8Or/plsZh50M1uzjbP8PkEIIxjegFjhS2sNP8Kr8KYElEYGcnt6HPEsnwQ SpL/d5jZ2y9TzoNoRRK+MbAXjeprQI+aQZ7rl84INaTEm1WivGBjSkAjAVy88INnPxjzJKkXqhE5 VNI8PIOHhS167tQycwmqIA6byVUIS/rQNmKxUBLZIee86/MvnUpRB6pA4bhNUGdSDhmbD9t2SUAB MIMWGY0OLADMEKOHoNvtQf4n7Qo2mzBzyhdmIsBNRwupto9TvgnmcEbr6SFAKDalpL9zswrc/VMS nyiciewNXiNN1jdML8fomxG+5QB7wtsQOgKPvZqHwS9Mfvq/7GzEx0uaA0oCU+YGkn2Vh+werBUh aKPz37p8jV7qHV3JRFiRxA7uPeL4ZVTu1L96tEKcUpD2MbFFQC3rZu3alBN3SGWQ/v5gDd6hq6O4 5zdIRq8U5wDQQ+K81YpDCba47IEPoLpDKIJbG0NNVSq+080KB6UWiENT0yqXX0AQGUWMpkLjmzwM EKmkxwzXL4x7Kkzw0qJ8NItbqdj3RgOGCkVf1taDjr9IIeaQXqtK5iFq1dgOrLLEqMZlYcSPuj6z KKCMzmSA7LUYbIhsMEfAdfblL68C9Vu1177EfCDhrHBrnGFEcxVYJxqu170ngDXihRWg3604fvQ7 Kny2KNOHAxJ7/OPBQBfFifd45jIvzjTiYw2yFTt2nVVx2G9dfGSLKzyeEWuahI8Eefzsb/ufiTLh lh2dEInoYHcYWLLD6JL7Y1e22HljeaE1byJgkBboYBQQ8fyU5I6GOESmv7C04ycZVfWREmET7IHm LqZCKexX88oXe0lUl5GIjboBjc/2GZQlte5mTmx6rJ6OnCaqE8mwHL+R1T1YxiAcyodv2c8Mb5r6 6pRfYK917mX7TceX5I8ugxkbb+CjY2k8amogJdB7Vtivd+8PPkFMIKaGThToJMzwuFoAZIPKAked CFzS71pBHflKGrTR1vv+4SUbjuhO3TUJ0YibeC78N/Ruw/iBUMi9O/PeS5wGidCbXuEOpw76MPGq /nZJhN1ghm/Zbh6cTJyQqZoc/bIpKalydd7oNxsEifkeN3hNp4FZLbmcf7e5W7fxwczhMyyxZI3u uLEM+W6NueukdISrzlifha2RLZ5MkhXKHYmurIvsGqOrlG9cWFfrxwaPC3gLkDb2gJxUEp0YAMxN AH1r2Nnr8YKL1QFmzyhBBkwQwKe7onahWQfg8E/0qD4kDEkVjkgRFzz9RxmemDlhso0FXkAOa8nz cdByFAYZ1Kyc24jaCDEXjZQH6H4kvUKaYJ5GbOPlMegQ7/jLJ/4NOS9mzRoM0yF4GVVnv4YF2qfr 7yJ7LYDtziHJUtmfu4qZo+if/+tmCq7mFizpX/CQFV1YZ4iZ3VX0irDSOqLBXu4isIrJEBZmxGj0 q+CQs+27Z+zcdvFBrw8Qbh2URIFjW85LkAEkJMXHUEL3Eed/araAqY1gX3ddrZ4VjUwwNVsLHqMn FCuPiVS/H5O0WKRChqJZ/OBhXOe3nUKDwMWbTT5P3/TD6hoQCMbhhEnvHVNmobGdP7Jm8ay2L/74 oXPG3H37ldCK0cLZWpxj0BckNRkmYLSNKL6Xsa8mAJBW52G+kvEwZu86+MP/oNSeucvcqmoeuxnr jp+1r33Fyx+EUXkoy/0BKAsPHe1tBY5N4f0zYrzHF2175bxZ/oT8qktz49icvNv8hhu+Omgd/oI9 tnahWQNOwS6Z9/bWmn8i5AMAAYXwRZmX2PmhqMR1VUb05MDE+ALEBGIw2KtpQ68rx0LiH94bCwYW 3FC/1n4uJ4g4Nj9fIRoKc42AZezmQSamUenyhHmUJmrtVvNJkxMzHc/JjFldE5RKK5mYJxBarm0n +Nmhl85RAZDS/vcgo+L4USZyJ+NkyRySURmfZhKJcFkAf/S40Pe+smeDPK1yCZYzUJ3FUphrKZPf 7lrtmncX7W2h14UhUZ0IigZNgEGZ4qkshXrQW5je/Dw8EgjT1I7TnS7OmU/SvhjtVzRnb45I4mMT Rls2l5q7qQxt8chLDXs4R42kx6F6P9SR1GGjdLubHILiXnKo1usu6XpQ+aM3i5N+BXqTEVJSO9KD Q/ZDlQ1atAVJZ54e0gV2pJbjlYH2h3aY9y1RLa2qzZ9GL/+DRrBnAvJHsmC/NP5IgcyFIrcl6kaJ r/OSz63vfoypNEz1EfvzLTk3FF01nj+XXxFTssVCEyg8v5bY5jVffj9UOTZqBNOpNBScv5IuJDJV PnOUdn/hP1WnpD3sZsvy5Ys7xncDnmD8eOzGJ8SUblhWxsNwUolbO2tBR3p3BQK1YExLQpx68DEX hwI/QZhw81kcXvzxqiQ9SaEWhkDMG+LYjBLQXnn38AQ6LIZbaOCv9YKzmmF5s5UlDJiRu+bx+mOt LY/Dmi4KpMVXLAYbQidcbtc8Y9QwoRDSbFHwEutaZM7dUKkVfWw9/rxVJlDr/W2aPKi/2Oz9m41j W7lx7JjSxrZ2A1MAVh/Hs8b7ePDlYvl0AcOeJoRvMgc257E0WiH4K7EV9ESxcrYAsY8iaJw65PNp mE5/cQ+Ipda3sBucADDneHzQfZW2y4pxi5vrq15L8346T+Ze8aEUMjxsgyUwmq2jkj97KTVTx8tj vv7amd/Zwedfm2yDPW6A7x/pAI5ESf9S7kSm6Y8JUg6B9Jja1Znab3wVLwh+p4eO9l9wKXcCzoxr WRqlzLvIHIpujNAqDznu4kh8LLROWWGwZuPgK+HXTBfkm/9rnlE+fPUQh0jsQskGOrNw4w2gYOGM +kH7u/pL3nrz5D5udAdWL+Ka2joGKvX4b29WgpTYbs+/w1V2tWmy9nQgdC1KVW3tnyFMAoPwu/bj arEO/G5UZ1Cst1r37YfsSKGlJzmL+QsE9DKQ3HAYTfL4WlZm0p1/N+oGlmcG3wyZiREj8Ftc5dqk M80mrpGoh1WIiTCYYqTQbKTsewgWhlOOVsy2DV3ddcBDdY6mTFfHLS8/Vjmffp/9/FvdAr9gggRO 8KmW8Tu4iAgFLwQnSURxmWF5dvZtrYdDVCF5BB2WMiCMs8DaLRrGMfXuwf9t3GnKFETjiLbSoDt1 80K/1vieSI9U8okH6SSZIrS8vJd+kCNfzB4pVuH1IBX3g5ut2CR6FFLLcRx9A/6RjMs65fk/FSEC e5LkapvCLVxVP4YnMzJpOhe2rrC/aOM4rio6rAEGFPQThCwtn7ymm5YF746ZllgCgvbssbV4zp5Y rlJVz6B/q96C0UO71aobrF1mkCpKUd4Ndn5idub7sH5KHNvjCkAiQEYPYQDdZeMdnfQ4NYxQ3fcv BeZL71NSv3bm5gwGk/6TL8dAl3uqoKxzttV6/mcmt7KfjCh0E7anZY3PnFDw3XMODqgjoosWc8S9 l6X65/9dcHGnXsNrgQGZfQbsjnqDNkJnKz0uVptXTbspLesjBM+Al0AhFvo13kMv0IFoNr/F364m NvBmsXxgG1KmjrwZl37R3rHxRnJapTzepDh10HHR9cH5OLd3Cx858bgTITFwxYYv5iXezBDMKnYT 0Qsx6sHvCqu4jT2ik7avP+m2m+r1GHZweSaaLQvlUj6yp3WTPq0Mrd2ryoQuFgaTMVQRRBkyX8Qt letxGQpTn+m9aQApkyK75dCgzalb76I+uwCMlJ18J6lFXztZs51xoA9dQIcx69QyC+KoP7g46nn8 7GJSCJ/MUNSjjJf+MwH6UJFYH3CazquNyM+MgDq2fzUI8xewfIdIAmN8BnjPYQ074QDU1MgTADID 1YYbs0pEWeWWnvHYUHGD8QdmUxnPiN2JO0thHgm9UVYdhXlktyLh9r2WP9E5OscC+T7J5RtsL/D/ TWT+ENAevqb+NW+nbenSiENaxvKGoRUWqUXdh+qRPgYOP2qdqmwRE7PCIGNo7Tpp8IPr45QVAt0Z mIQjCtXsTkrN9+FSjsvZqK9le0Iyj6m22XD23poujak7ySheIHy6Iz9TSmZSRrcP+c2G6BcQI8uY l/ZjlwL7v9iSQ1UGIsnxQozqGRND9lZ42bAy5M6QJcQNF1aiWLoMls+uOVx6OA6ej8iT6O2WWvvv HksBvIW9jxHdbm7TUVzerPDWCD57VzpHuoMhE+Z5l3nwaC5VqMpS+t5V9FBqGNeKX8DzA46Rl4W5 bkQH2fWJRg/I27F8G4RiI0lE9fWBYRQna8m8bzNr+kR9haamWMaFv5vGOPpJC379Jc2qymQkEM7I RTA2xbXq+GGNDPyTgWwgRasWkPPOxpOimE6e7Mpjq5p0tI4btPGIa4uRFBG54gKOHS4vhTEo+pWK xj0X5Q9xQpH4F6YLgL9j4g2sODgpxSXf54K7vXaG/vQmlpDEViFGtnai+x3LE82QvCNJguPHKXcf /UhmYMZ4B7lrvtmybFY7HgI+hxdCbwRwqvtos/GpawA0dONW6VBtzmpLmeQC7wKiUBwM+DkctduS OHHU80tfupq6eRPs5hTNNWmBZTGRcfo+tZMzjZj94r5XCMZH3CsTiLfpsXxETgj37FQ4USaSm4Nk E5MpZxznHjirGXq+JGtdU2P3bHEFUE7IFtytpbLa7n5iRaQf2TzMxwwfg6FS11OBQY6exR6RK7Qi eHsiVGE9VbZVybz7Nlrpv0zI+QfNbcHGTrJjyNWUmLQhh90YJjooh8ulqaGMp7wzNcJItyvA6Mlm sSYXFzwpfEtzAbhdfHW8PRq047XwrblRH0MtXCsEmZjXTboBAbUvzFzvxUn3OYFM3zQXtRW57tYx gGNSfP5CpqvzhSBd+utUA/Pok4rIOmmtmL2zhehIb2oTjDDTLhtDn3WiqDu7O1PCRvWDvM4CSLne 6DLUPHhQrtT41stRc/EiD/0jR9CO9mSKvOzRwkKjzGDNIQ91jA1+PE+1I6m9r1L8spsdknmjcWkF Xzy+vlTa1FHDk2LZADfZwBgtI7MOniozzGXbj3hhJ4h9Qd0cy7gBrCHd/vlhdNuhPCEW5gBkLTEo D1ypruwGt8C6j8CQV5BojsO3N7IP4FucgQ3IJgSsStD9TrdgM2FrkcDF2QPLWBMU7EJ8/V6tzOa8 f04w1lcAO4YyHuHY/VO1RFoi3Q+nWciFGdx93+vzfGrjId2scbNf3qof+EcaLPUBRQ9RZ5Ff7TcP +ONjfrb36xup0bgi58+3FV2JKfTZG0eH1wcYwsqN5rDudRLGT5eLVdvMr3S5o01etsPKdkjMeoPR aPxYq2cHY5CyI10l57NijtdHmPt+0g9+6gi389V4YI+QCdTAhRW91bbLrB6H1yG+xKPWEWPiMz/U 1bRWf9mg+njthN7JIcaANX+38dn7IKlyG36pviXwvnbnvklrTyECW8cMbwWIuVdDEZ/QPcqEBvnQ 0ZD6DHpWzc2yV8xCjMMtwiXVMWYZ5zsDv23CLWo2WRU7YQHXkbODz+XpK84eu0lQJqZYJcnUIuJ5 CJMqafzTkEfrF2bpaQCVrd8NNmJgijB/re0EfJ5by/o8m/pA50G0f8T5rCvDsyrUil/+YJSijyNH 24a7Mz3w+PtT204LDN4K4sRvE1Rn+mDuQV1VmnZRUQH820aH0BuwC3gPShu4wQzcOG4AP8yeQ58l GP7CjnNpqzSTzn8EVdohyzLZxwUSHgFfEERXqKCK4o04J1FP9EXckFeB3pgYRB44jid9eLYjfaj2 IbUPirYXw00NXTwEFOBBu560kpuKyj/yhiGQjYoSHM7fqCmu/cYo7HSiqVl0srC9ZLacJrgWd7qX h6cpk6AzFEXfR6ZJy1ABYfg/dGv1C9O+mKnsRUZnXzJEcekelO3saX53yyG1OnqRqyxzZNbjKF13 ku+9oURllfz35KCGjwTK9rWhFO32lo5wpzejo0N730vZ2wusEMrwDaKDWiDOZIVbDNV5kshgRtgX ToAebptC7U5Gr4/AwyWT+gF2vM6FY9d20VW3jzpFJAoXyD+KqXQDQcTBJpnuprQPGAZcEJasvvSr /MUSXFftr2Qn42dIaBSC4ru+c4UOUMHHk0nHsnTiwvnia089S+Kbx9AzjV9BKnmIpIOWYYsPF9Us ap0QxxfQfBsuWL4SK4dJXBaZWfQfQ41Z9Gcp8gE57RYx4OavFa0zq24edAp5PzT/Pc0cwJfuNoAL zsRYQf0qye3H6ESSQHNTgleZXEeEGA21//bU9cUW6y0L+oxQFnukB4JuOLcoTRt9EY1STuiUgZ3g jMcLu0Rs+taHkqpufC5DsuKvOY+7vcVOxYA77hcrTeGI4U2bpHizEkF+FqEc/KZ+bjOiQr8MRzWG HWqY7/QW3K3r8zWWTIaVt4s93zeXy0KuaVtb+V4rJdqf7K9R74QPl4/+myfym8waDjz8zqxOhnho HMe1mEZ6jfJg7wFZgykxKSt69CqA1OLizmqLc3MOGYs7i969eg+HkzlpOS2/NRRQ6NV+nHvQyi1n 3Dn1nmLeeY/5vSbrVXZHYy01yLqLBQQypDgHuuz3zmYXy4rTeuE+etKDqzmuwmeyCdXBF44Y8jGC Nuns2/58eLrR3ZNSUViE/3ynSlNDwtJzOg6NCI2ohV8Jpjrvo8Glg/cPUbcmszGPROoxyvESAHom 2bndYl2ZL0Gm04JZmOkRdTR6Bd/K2czp2okHiJpTgQkmP9tzZkW7MBhkTN5e6ZtXGTdPTAitmTc3 3vNXgvsrcHn/xbeKYh5bt+yxQCiI0pvlyu6xkVuto0DODLPRnk9VYNpCDtUp+zFfWj6otMmgvS9m oS5p2tPu1gnFRzfXTEZBbvu5AkdEvUDMrIvxZDughTwiHTUAWpPIB2hn0Rr3h/7RXtlFlEsYd75/ 82Z/XiAJxeFk21qYnIf6r6WzezgDmRCKnNA9z/umjESzXAhb9IRxYarBxTseGDdkz81nc18Hurpw NRtAHco+Tzt3GqBMmsNEX+Vpbwri1O5MBajc8nXM7IO3p7JQ0V2KllnSxdkDxnveVIlV3wiRK+Sz 37BBU9uvt4nqtdUkc5nk+YeMX2ANliVlBMYSk8nSLDfK0hsbeVmMe6jHcGlEQOT9pUx/5mWXCi3/ ltNgCPbFFFKdHjxZ06cfjLXevJveh16Wo4sBkdIar5OqekZMjbdfw//tJ59MkkeHB0gte6zZizH6 uGP50HrKepOGxek/ItbFyGr3geRPp5ko1pqwDQndo9p3jCkcuxp/KWXsym6frBgiFqgH53PlyK0a CG35cr5ahB4TyTFwK4Mhi4uq53mbeZTtl7HL3V5zgBaD8YZhcier+oQ+GIFCww/LaZeCQOkLHqmS fflVfNcEYcHX2pAaMKiV1IjLKZVZ0y3hJonJdjcisvmjrsQJ/Rj575Y/EFBRRSruoIYS8cSW04g1 PtlxHMN+jWHLSmlVN3fi5eL54cJ3B5x1bjKfbO3hEeBT5Tqr74KO8zLST6KCBAlvLrcUNLy4Ziea cILG+jvaHwtNB9PoqnQT2BVPJrWVXuUcLusC83zy16x/hhKXKPuU5Lg1mwLPQM8ZsMJWFv8JSowe aiXuKB0/NrJiGTNg78Ghs/5Deg9WTJJlcQ0vphtzU76TGrF0lnHO5gFHPIMm8aFH5poAgKYR/D1W sR8YTqpGzCq+CdDUjDcsO9s3FkbVN2I2OzH1pzbapVJR49nKv2kIMQELqrqce1JmaMq+JrPnQ6oL mO4JcblVzkStVrAM41B+VMcqS3rSqpowGKnV0DbJDHY0TdWgs5L0LjoKVUG6QFROzedmqhG3l8mn XU+eE8pRCDC2+BUJgvCVA1buWJ+FYqBrIabUrJ2nGZtCiyGOtCj8BbnEmoGz3PeEqa5SKQQkZSYg ysM6T65EbnkrZR6MgsLbPwds+j08wNa+FaKW6bPykFqaZdFxm1jvIn2EVe4jmhdIvt2lfVywKRI5 VuiMewR5hJrpNrqjksYlhPypj6Fcnl9vAJo1A64NuTt3VwKWPcHz01Etyn3J5pXq1Kpp7wQ1fcwB 9a5DJkddmRraWNsRO7kGueQ/CJ5RtLPjhP+zEtFwUXbPZI0sFtWr4wKwxjNFYgeuj/FWo6LK07Gl 4un9ayfNLEISLO5P1s9mZX74g6vAWuVXZG0NK0klD/fwFvdsl1MhbWWDFYbpR4dVKwLcgYwLgHMO o/C9EXx/Dv2d+Q7ckTQloeF4O2V+i4+AJme920rNx8vB0DdYzckQlOfCinISXaB1ebQ5vpwGplsF xx9m0GNTVV2AkSidhv9wDopZw3uHBQPPir06KVhs6NhE8M2iKena3acTqsaTrRgVuRMOQWviBtYl N49g5IOue34N7dVVRQRujXt8NkyAv3MHN0rUpscyWENPWq18B8v0dTnzqt8SUzhvl4450lWzYqKb bbxAvzWwDlXQ5nPZh44EZ3kMO++6op+tP5Y2xx7Dh7b7W497fdmsjrWZVccjMR0ztik9JpXzESs8 I0gg1rfCKFAJuiIQwpZ9/yyPnQdxigILWLwk0Ja1qHZi9HySFki4taWtnA5CRCI1CZPb7Zy6wRYh A7zXWvlPPZG+Erc8ZzxudOLcYH1uYAjzRsgb0vnPlYO+gDSIBWZ0ql43Y+RYVWgv5lTjXRTsvULm JDVzL4QCVriY2t3C5O3rk41Jq41vDO1nufiFzhGpP4nZ3/5CcXSmSNws9lVre/bZwwh46QnG2LmI 5g6UFmwNr/aRalHxfnxeaY1wSpLpfF4xVZ+jPhlkaWh3YOUcrT4fAJjf9p2CCEXog8OqFM0yWcmE KhWvM75fYxlQgBRz4A8lXnEAOFV7zSxEs1BNIkc1vhTnQ2OYhffTrqqtqKQ4tUI936BYpRGJHTgC ijfx6rFu3DUU2yzDsdxpfgEWW+FLHhRTwNIhkUQGVoZNQWVNL4i5raSShjeb7TI9LY+2BZbMdGyP 83sph8Tx7+M+7DwdCZIgjnvUIRBFTREJ2mKI5EOISN7DAGAu/kGFoO6fCQD+FrT2Ge/JSt1U0g5q HXTU6uIfeKlyLQSIr30um8THg8JnGcZyIU9C6oRHILy2cQTHSiYGG5xjqvsUgTRdhj8oDi9PifEm XgcCfb0sV3z/KeXiLUoYNW+DiyldzYIh8wZrNcSYpB1mrQ9Y54L5jjf55XnMy0L5KBupIWXEnGNE EgK1TxAoL4eEe8bxO+bW26x8fWO4KQcSUK2cQ6G9tZ9YS3mwhXdsvd8brzsanpNbOdj3bgVWGmxh S++7laLjFepV1obLtuJQxMjeex8D/oAlZUUxMmSIV7bdQdTgbcXfAhaz7gkZ5u9DuCkIYzgbYhRO mdeWeZxErs8mwZbZYIRhiq5lmoZGZEnfOUf6CserR3pR3VyJMIUAjY5R9SdT5U2hqIUEwVPrNg1c GgVPbuoxt5c8oQtOTn6nYmdy2+9C5Hq5ascxmDQJ/epnniv/VAxoWGZKRd4PSFcsBQfQWm2vp9yp ZaOXzjWV/GxQ9YTbe55aQk86lWj80a+U8gJODGOH78EaDP9oL7MSEFnMR6vDgIdM+v0vePx21l/H 84MrD/xu/Mg9PgX2SBq5tVnvBu6PUXMWFtHjUTRhgzTGQxhTIruWnlRq1Nd0YQKyM9q9aKv9OJhP GVGtNibdsMVmFw5sKM5w0qssMokLY4e/LdrQKAfKt6mG6fesem0lw+FQtiWgdTb8RKTseI0+QCRM txT1GrChKErmXMhy1cNx33l7g14+3o5/CGa4stkDFMkaXq/UX9WC/Hbv5FmUaK09FUjl52HH7yme Q32KD8W8t5gY/Sbet08HkvaimrxZ5BOAj2VXRm6p2lvMuSsV4y8lvA/ElVOgTdlChwylnx02s0Be smRJV7TPhhvLsaVRYSYkZfRrARJz8mEo18GhXajhZ1xSwi66oosNZIXd/iTVup3oDdETq2hGOI7t 5ly9abLfi6P5iA9djxgmU+wFCSy+rSpa5g7bNrgDQMXGbKuwnMNhD6Zcxw4L33MmBtAwIn2d82ge D/UoaIwNbo0hDy+Ci5xOeB6UILlWjLMo0RVqQz3N0zoHG+BdxEfHrU+UuiaRIjPZvSKAnzltkBBj ALwgJL5U9D1HK+0nHfAH8ia9YaPjdC3fB5W4x/4ybvEro3sYwwcmcHNQsNx4SlMcpP14vJmLVZLO k+iDiw9pEU8ifjhs696NehfeCXp3KAbcGBepaKpewbfsD905X4HvMYaVP7HH2+styuHAeCQkPhWk P7gM3Pmt3alsFaTdQYvvBj87G4lE+H77uaG+bC4kZJz25BCunMTtgGvgxCtDTlBKWpm9P3cU/Elf CJg9zz3ojMrVtvvWd5iVb49bL6ulRVsSo4ONUSFbnOfFH3TsLJ6AYXRiEkD9DgAmGkuo4U+r9zHX m9B1HNmA1hq1L85PvmWd/H6dVyC/jk9zNpWH9xspZkQORxytqDhsq3wNTyfW5hUQ1mSiw5DyHKav ol5SGpul2FpjsH3K5+rMI/GBhAtBzTXjvEuwMFHzdDuVpd4PWzJI3RtLvo/X+Nx9XONbgj1SAdwo gCpSxAyDFUR/T72qvNu3MtFJ8ynCPyVqSYaWVPphMCuMiEAtKFh4h7jgBfBgAgKtl3uIfIqs5k/7 Q12sr9Ir1BPaunfGwNCzP8d1hRnjBASIf2g9M9uL0qPXhP8MaCyHkD2J5hBpfhH9GxsoFA0J274s X4h6FD/ienmEUqSoifL1bItnYABbPphzHSyQg0Hd+j+2YsrX2uitf2F8kxoHGBgPp4WSJLDZDo5C OryPm6W9Es3g+6t2Dsd5Cg9zec9XuiNj6kFOUcdyHmhY0mrDmDQB5SQdF0y5bLtcTNYf6xj4w5RS +cxKwYsbuvfnd920iOhWmzQ28V4m6pJcU63yvxxeDl0b3QULounp7zzM1AmrDz/LPR8cUqDdOXFg WxXOhkNS2c3SAuMECD20Dlpj9yztgC230qKSOK48VN/mlcTzdPnO5EkiGVfWeGPsGMOwMEtbgLTG jv8MO8vvskLTHXDAV551T3O2ar2Jf0wTYHKJ7y/HmzVs4IpnEWaEp31pjmlPTJhkED+ZCJpd4tQX i+qnkRAkmTTGhwSShVxDjcwtHU4/kiyyNYVQCh4VsZ725D+aX93OKd9PJUamG/C/sVD5a9t/SMDT +qLHj3j3aaBpihsv+F0PsalYfB5l9B+Ic/9020OcEvX0t0HhsgbJc33wF1WI/Hn4P8tZ9YhXcy18 B9nbFpIKhVxiLWdbZmPf4GuwSWao0GHRExzyCYkBRjiyz4J3ttG1pSfppmJC3vRDssKco8X3+7MD iKgyAkCAKzzCa90KDKRqh/3QZvOZoTrqzh5QlI8aH4rDz12P96jLhWwLUTwpAGTsY0Z2orh5mSdR vrbCqJ4Z7QOVTiAFJHhqjL9ZxGnXeDzjYTDpVNSmOJa3u/L+tsL/PE3Fp3vYt3WgyMJqgLJS5Zu+ dLZ1GniEE2J4AUn5pBHwMNOA8MvsAvxBLCtg075upyNtW0hDLWpz+bUwQYRwbu8cXOym1Nt8zjYp AJH6HV1nrvSTJdAWXEDOw4dR0JmyUmmCWGw8k8zhjP9NzjtohyDa073vg6LH1/+xua/sIPZ2p+eS 9fHKZiJx6PKw+IAtagcrcT8h33B0qfVMdjLsWCrdm3JFGOTfzcSXx/DPgIg15cgc+/KOFX6hDqtC u8SaMc5HUH7xifck/iVI6Ug6jvfK14u6E7kXRLDNnXgU2twoLmXXc9PeA3vDhelIulEflW8gzuUr bJVWnYBsRpc3uMKsoq1azTP9uiVnOT9XGGIEzmQrOI4sNr9/Bi/iTm82teeTjJFKxWy+IM6rYe/M E0p4HdEdplKfTZDUBpv9JBvdWq5klDn9AaHSBoIMkC8IIHDJ28fojcLmKYiTDKNzYG4BAlzMGvxd KD6jzEyaDekyNUTG+BZNOFLBbdqLtPttMzMCVtLicYf5OFlgLYbdSR9BwxwuoXGlBwrrDGp/aNEp jJXtmZJmPoxCy6/sbcwMp1PwXqldtN5oVhwToMFXzXwCXYoJOa1p/Ny61WX/LUuMCLSKNmJFrXth NnamO+bvsZAOYRMv9k3OrZRKZ5oYcZN7KdMERLK3h5ZltU1dmAgzCXDb37UElMw0lq5urdNMNSQ/ 2Yf0bqTdnWm2sD77ZCDwvGD2sLY/qS4hDVGc6qZGFseewT88fuQWxWzgnwN0rLV0wsp1F45wI8KN /2pwzMC4VU2EH8oxC8+FKh+/52gbOobawfkvW35mlVDHnz3ljVFTywAaYsztm5Bw3Cfg+8FvHq/V 0gUKRAsbGElepaQQyBD/XmHlpXjkHgIFbabRWMEr4LUE2pw1hlfZ+6u85vJczI6IHDBGyb6CGpZe K/zVVxKUHxnqhvdwnrqdL5l4yfEqfr6+8A6M58sQJ/jH01z0BsFyRaVXGeaYuthU5g5yQ3jYper7 gzrDfH5tTwAhsi32fSlsAWINL2boCyeZHR6h73ZoZyW83MXIGCkEmG7Mh3EB6QhvBFxgembXl/ln hWvekTgDXXuhue8bnc7QrpEEbV6qhcpUcBk4J2KRA8eiK8hwgSzg+MCSbh+ON+1eRAwXOcFYQYl9 b9/iw0OM0W8LqxtFFtKg2dMf4ioCj5pIEcGhXPpsqmKi9zWwmLha2CL2bR7YnFFEjF+YULMbk1Is bFUgekRSOOKJbHbPDUCFs/nJRxwbCZ22E78c443ofRoGvoaXz6x+qIG9N0HNmtisWTshPPUrX1GH VtzPyNkRtxXA6boQqUO2qe+qVEEjrRUx9pRCgp1bJawUzt4L7FVn0YTqwFGMHpDgBs9l1tqZfbcq ZcYMJfLEv5gBZmZgLwK1mC6EFd740G25yyKksZ1sOj7h9N85g/GlC0r5fe+Ur+n87NfvkfVtF/VB zBOZgY/LgbSJhYJ7UHoTnUfLrG9pyuQe9TjLe9t0QkOhX1nDxl5ZiZ6j9jC9EYjnQuC+B4X6nVP0 muunwbXAvQs19mvBiz8U8ccaReB+1Os4QrPujneUgUbfw6R/2yLPYPus9i9ZC4eT112v8RESJk1e aonBoD3XVWW7e4wKVAhfXLxaHf5nOHtwRSwWOD4mHDfp0wrHTizE1tzmZ2twYVfJBk8JdZw0tzig 2BGdxGz4V8gI5IfDc8vcQZIPlNEHM9CxU+SbKe7iE8vEhKM3N14lcdEyhYXYB+94E484uRYAygTY KlApFssHcoijX37umi0hYxHm0MlHP9q58kTiV/4brZDWttGZ9sLSnuN8xi31fOd7uOc39wCHD8dx 91hS0uMKGReXtNrwzjE34Jonnis3151sVEANrZFK/nP7orqh/6DOvEnqVQk1Lm0L7LaPuborUYAX UPLi1cWx4k9CYDCdZ3YLv7sQZhFfGK8i9Ru2uK13Ui8w68y/+Fqx60Uilo686Rn2RrDQZ8cMB1e0 cad+DtHwXOKO7XkRBaqoOv44vbJDve8awM1lMYpqLLIafCziMdLhNOuYVIn9ofDk8XqFsFQKah9/ u2V0YrraxwgkeBqHhOuAqMB+RUL5/ahUA0l3Pyq8HtfyznfjrVJdKRdRX52k4aytnxkgZk99EUMm aO5Z+MTMyHIcjXJ6dXQKy38KShBWAgAQf0itZzMcLu+mPTGA93AqIl/Srvbd/VEa4Loyn9umJ6lc 5gWTha9wUhL5x2xA5F6b3PQFrJWJok3qbj78/8hfqbKd02q6UhxAYFSWxmPCpFtuT0ziZTh9cT06 qHKEwO8JjCumaXY68rpOH4HZEMl6fLdxujFPpQjQgNoS1UjV3fgegocOsFSgpFitFwEprdYtxdvl RBc7t4B/2Yxmd0srwANht+e1t2SEzgVXlXhtyl7WzfQQTRfMpfiIM3BUQBm84MkYv2jURLf9JwiN PH6cacJVEQdK9VnbCFtRcSHDSZ20dzKQMhv0jvij8cqHG5ZPQPr47VV/sSvWQxWyvyo2ruLgGWKy f8qoZ4+3LQddqpgFJ+/t/cR8+uLIu+VRPq/eNLc/3seqWEMTZrJ4ZaqZJCE3jxEGq3BRs3Nq6xlo SAheqPA633gIL7YZYfct6nLHPcLAYY1qXKPNx7NMnN3zD8LVgaJYv8TkMydpQ8usrbLA7hP6plsg bB9TifHITaxAUqqYdEwcBtG4NXVj/+jrlKWM/Fv4a+8Ktdbv6BHO2VX7qB0RVMEve38OOytIUBsC S5WPydCSdM0x+Cp5qFlaOxRZ+4LVBLCMrB7lQM5sYqDHCGcFHPfVBjRxoA4T/Ev4xbtbff4VoMzS zy3uaBYE08jcO4y8OpEjauGxpLrM++CA2PYjGoc9JfE8WXtiQz1XlIb+gDSu1cltXKObLKCUJjIi p390vp9Yk02/VbTUmiwMqqCVzA5W+wOs9u3wI80e8xm00lDd91K3wBDcvZI2mDRPQ1jHcD5+P5Ma iv84/4oxjyk7PYzJgLksV+iR7UmJgCjeqbYjsQUqFw2ueyxv9ifI7Vqjfr/0ldWdKTdIGR8A/jgj Xazi+nEGkDZrUHsHmhq0Gh6UU5DF0YabxjJuhC/TY0Tx5CndlPPcIU/Zl3XC3/hhEokqEYxxGus3 9IQmDfPPGZPSv6kgn5PmGOrdNLxqsAE0UhH5sU5wKdKDHVKszS3vz9JCJuXxJXqMfgUuRsS3HjSB qQWmvvX6cRr9EPQbJvAuhng2WcubB+bsbn7kvuZbSsMckvu4YNoSCfbZQxecMluiP2Oct8dpITPN urqLDJO6AIjyIyfi2wXx3hCyXRSAEkdYE2jEUinZykcKx2zvIVLMo3F9JhNpe7hKgYxYeZtfmbzW PXlG+8j/6BcEI/Xd636tjWLb3mnPXqrLDNaKXvQ8xONudFDG0aljsg/a2U19zZattOJQBL/zlO3p 4t6mj5DSECekp/C61czGAO7wM7rEDyWqe+A3X1/ueuRe4+ftkfZ0cAt79f+XHvseKd0ynNIFP3ma fZznk19UfA1q99ADnZU2wdYVy3eMl7cyfKfDB2n3ovxdMODmkmp2ZLe+NUZtp0XboU/7v1PgjnLB WeP5S13Mr6Dl64re2zGOyifZjZmAh0Yb3CGfTeWldlHAxRkP8XyvVOAE1wwqjlRBQIad1j1K98+I fGrT0oLJtqZQs7pmgXlZHZLQfz4k7UYBGA/NdDBGETPz8V2SNuYLBXIccqi2UQYz0af1KAhEQG4x 1RzbEu+eOMDqi4pB2sTFfqunZm2GxmofBDzi414e4jcgOlGlNVwKTdz4JVKgwbg1DtNMeqx+Iy4w ssdesZHkor+2q3sH7Utgtlr955HVG4HeR7iqQYpZysrxA6FjSN4mFhxS71uoGE6T7cvmIiJ6eXjB ZmI8Nw1ocnlGYmHZuVajTMolmyb/I0IeB0bbNErRKJo6IyPOUJ/czVx6Q0kcwrwBRn3vOQpZsnyw xNuLA8cTNQjNrYh5SXx3M9MaNydjsjto6cQw5K+Lpd+QI0h3KWhZQ0kahKiYw/eWk0LI8vUOJIiG etqaqgVfpU6/qK+AZ9IGEP8JV/uDL0F6TZVGVZTdJtrQXVkbSMMD1C7vZqi8XiyhNd8rXIjt9x8x o6UQEb2H+pNSKMvlhs8OFI7+I80Dho5ZkG7YGAb5iyMlqgYycEAg1s0ZzTh8aYcyH4a6rhm0JVK9 nQmz6TbeJRWfX+S6rZ79cI0hnMeDzeJloyzuV+mP1MQbXVfoWMxqFUNfiE3PmsKBZ7vz5RT+dCJl Wl/x1PrTkUc+BZnL4Bb+8k0W1YJpPtrC3ZIz7i3XqGAwKUlLSJaVZnZ6p/sO/nFtE46I/JlMoBKX t7iAvEfF+/QEhmAunhXijct9mcwWGmfDbSR670plD48YYBVHj7DGg1jPWwt/GoIvsIGWbUrr4uWu rwAjoHhFSFvXTmccPFIMlNSnx8QWU6rLXyWKb+lXSBF6Fy56qWmMXDXhhrH5b36EO5+rYB/1ZxRB cxUOjEM7JDMWhxZYsJF75Kdn01JwOLdOj+1EE7+oesiCT17tF59AbBPQVHbUj+EFhGRUb7muqJuI KQ9EFENLo7iUZPw7WKL4inq8imImFNCNoki9KY3Ij6EmR+M2vfGA+oyQEf+6JhZdXK84uzwXLewW /a+pMUg1dcZfaC/IwSnC65sZClK0/pDY1EOFu1vkLaK2VZ5wouxHSGVh8Wqfpvl6re9BNgM4306b 2u7S2W8EGIicAE4G0fiDlA/MtOCzXRj8wccc+Zy4asGWnJvnUJqjETz2wnFJP7m2faiA0W+4zcPu aoub/+DrjYoMnxK6tf8eqwWUqGMEAA104l5ZpfoWofZZm/ShSmLBfjgOFcNGLm9a+B99hauGRohi AKjMZtv5RGL4vJD1VGJUNzJ6IHfMKVcbG/7+gOIV8H9Y/k4gH8UZ8CDTVcxX2FXem83qhjcFS8XO AciayPsaoqmy+VeV89rxMfZF7c6wryht4izL6P3KlaighJgNDYMK5a+9ecmYG4kdCiv4U5aXYJqa at8igTKXnjKFrP3QiFAbuqwTQM23uXritUvbaiIQWaURJ4fxmaA5lxtzJlaGQ6dJwXgs2+aYPO1e PjEdVHzRGvNWCixFN5L/c4ZkvfOZbnxdp9Ot8WF6WvcyEq7Gg+A5Ve6TCOeislnEMSuB9WPWVvnu ARlEUqCCcNh+4LHC7rDslUrjBPwNEDiTinSNSEo6e3Cxj8ikwaYQd9ZYxh7c60YFd0xRvVtsmFKv UJjSOf4qxvx3me2npBg1hTcYM22cibRJQ4HEKW5I4y0gS2mVLjhjTeCjpoZGxI+9E3iRNo5MzOtz qkSYtIH01znnHVakJ/Bdu1EWFLygimCClXDCQffLunwpH0vEUNJzzqpbQXetZgwvqZ3uoL6i3bIY OxNmKXCkVqpRO3O8rjeVo4rp47RS48KCooCBDfMlcv9mPamsitFUVBRdKW/TRxc9lASNYfc07hCS UZuld4JNJMa+D3xllRlrjs9j6J1jyp/33ehVRDx9LRCsKop3CWWYJiOoeAKasTDNXlF2v7ICTr6Y 2U5t3m7YbKwHYei6Gmu0h2yEP9fXRFk0MHuzVmMbeJ1NmSKFROYFl5g6B9SVAcI+79hzeml9thOs Py6fiXWqGIP/Xw/fhkffjl4NWgEePFWqCjN6auXe5PiqPokXkibL1wfgrUJhYimULaJqtm49ne4B UHA6SRFbN9kqkVA50J/Ca0+KVYabw28EvuO4KgxZ98+qjH5dzCtYv4T7OziqCJo5vzvjn2+OH2mV NKEO9+LFFdUcjI1nHRIV3Z60oh9SZqWW8ABRCMYK7Ic33SM5coXEyGwOTgG46WgjLn0NVBr5iQea 5XyeWVm7ktTsfKfq8uGMPjQ+nJdor3NZHfjOsEaEgGchruOHfHpntq6mzhjCobIbx2oATayTkhgt hLsqNaaM6ponjYsigFv0SMJsjMoFmy1NXQhDWkmSRCpfMIxBKsDpkkXQo+YWOCtkk9/C+jqq5wlE WPhkLN2RIRifwVtuUVMFQbqWYgRDc6OY+N1njmL7DJBAE3Vm6xYVTNus2EXcFEEej9vQbIodKTiP hxRvNEbnVFlZlXRQLjvbEIbvtgXH8gX3IiQeTpxa8YM2Hf8tj1681l9cZPT4x3sGdahKQi+cZb72 K/tBc0yS22BH8T4bMGqTGFsh2IWTc0oNrbJ1wDsPQE4Yj8GOhG2uD08wnXiPDYaB99waNrboxNJe rxmPo8CY8/LrOehURv6pg8E7fF5cEiQRqMqd77OAAsI0GqcKTmQaGKU5B6UKxqr7mg+b0uf/rhbA 6YuFEg7BGXrdcjDIubLxed2zH3XecbA+drUHBZFHhztGzIMrEYxBo15HBLSV8snbirCXkRYcIyIa isRYtB+8LZ9IGxRvCq0FlGbpdj0iJzUMRskUjCDCIPZvUcH2FFEJI87MQTExeWAb/JoGhdkzzf76 +qR/Rr2q6NjNXRky5WzY7dNmsct5LHudEcaerO3CYjKdjJJyATeldt6sml/IcHsoCvf9p579CVNH dxMFTExgYViUFj2hE57Za84zz0R0B33SsK2p/75hUYT312fb+vcG1zLRtb1C16NvbZ8dI0Vakej1 X0XX1e9hJSCRF4xreFyO19YorWjAptqIcs08yLdIBS7sYWlCIvRi7XL5cIqCxXnUesN9YipessGq xRqb65Mjb6YPxFiXxRbMcV0Lf7wcmVMcLW03NesyRzjAqbQDI7K1AcL0jhGaqQrp5FGLNJerlrN3 VuIq2zyeyYGv0iPLQ831PzxlzhUSxWXWPnPKP8KP3YjC7XHFwWkgk9Rn7EUw+WqlGS8aKEXZzJ6u kLlvntOY5qWAy8gbrIKNK4d2kppsEB/L6l4vYY9+YLbKT0uVi1MXLwn0LQNIIu1fJ+MkoeCVwhcy MJCEPVyLohNiqELb6dyzYB9fD4e0aOZcv9nCMMTXlP+HUjyLYwLpUfKQ8rJe+6ipR9tsFG3W+XN5 +q8oDvwxTrkE7SAhyMZaq2qC6/6mfVk0VQEEQA42q2h5KwRqBSoB/02LJIiE3xMt2PKlUKLmSmup wfftYUDHtSBGwIrOlk57TFSUp/E+NKaZSJbw3Xv+N5fE69yLjml4Z2hpSxWhEqe4IPnKMy1lKHnJ vrhXNeJtlaL7SeoiBwUY3KyadkFxSLzj1ZY4FIqDPSLVLD+qrgKE/K6PshZ69kD/SttBTq80XfL0 +OL0uRveatGDi01kmeibDEIdOK5lpHBPtxZaW0Uymafzh1fkh0wvvNpJx7qR0KiFh2ethhjX4soW DKNghekZ+t2JR2izgY+PuB4dtltqxV3sgbQm5y5nHO899rNSV3Fn+1MX/YUWPz5QnY3oAPHYeNfo XayDy+l4ByG9abg9oDA7XakbR6v+24+GLJMThPLh5YzXVbvBl1J/nqORoXlfsT3d7z3dva5GEuVl TgiFnFiGao3Y9cNd+O7+3JzfKRIr2tXokEDw1G9G9lR7un4/SF3mcfsWFMKrCOdBHXOuhgDyvayH 5S2OvVR8lJeU+X677tt5T1qcYPfxT001DdMxGnTYfekk6Bf7Gr6K5tDZjgQ0OIVjARNygO+M0fea lKzDdvDomKYZcnXKoM1q1VICSXt7klNZqJQgaC2CbEYLMr1L4nuQN1zaYjefOWu+qsIp7Xh4hwh2 hyCXDONq+5WT86uth9t9ZV5TLn3+C7375k82mG0V+SP/9R/UlriqOYYPb7CVPB1i7fAMX2s2xWXe iBa+npU9beZeYd+dR2nJDu4R6uYdtmeOj7I5KM77JJXB2turnGcEdB866xEIO1VwB/rDmXJCcBpX Sm40wtVXhhHzz/ANchNpboIu9uCJDsXlXykbRKSD3rvBhmq52SfN6y3XRcYiDqErAWmSvMv1iD00 5tEJQ8vYImai8vGifdGsEoR7dDmzFyS64VXPxnF+nGErcoWQJ09Ekl2PC/k+TFRFWua3U/L2XCjF O1/xHWyrEDAyIaZuuNReZwDM6nChetUsRR1T5Gwy9tTvc6EeHIDVHhn5rsCdwXyG+7Ltod7oqSrE 64aml6iDpOU6j4Y27d5owMPwHK19Lj6eTsCBjvL4+La389sPqqXiaJydgNj8RsqUxMeT6k9clJ7t tax8MO9q1bnMAw3kMuwbYpEiCXblzs7VnzTBtZ95QhBmHkM8tOn86Lu9NjjQ8zVnwBE6fAlAc6Wa H26mJPvj5Qmx5APKkwr9MJngYn77YMZFvtmG+VxQu+vtnbCYQrjmqQuWrQLii8krnkbu7AI7hfNX cLBl1bfHKNipW6jBBWje8BlaWTrCiTRVLuD1hU4O65y4SFRbqa/LDAAxyRKa8djiex+R8up0gbAF JB9kKmVZrbsHZSNJaYgcXjPNsRSmBq6ENX6HEKTD8aqwcSuhlqL5KWJk0xG1eUz139eAhNobXe4f vUsJAWNoP8O4MiyUzmdwYvsJfmItl9mz0JnFQ2rrnPCENX9tM0CTmsDBLIlwCxvvpu1UR6LMZCht FRqW05TIZrVBiKuoUIDOxDgt24BDigycdLalg/MBbKBIOKGtI61eosRnFvvrGPKMqzTu5UzLBfpu aT2UdtpMOAw/S+ir999biPjA+I+FSX/583t6CK0+5BZuS/yaN2KPwaGJT0xAgLKJQcf/7OnEWjPG EPb89LMJFyqr1HFPWtqA7FhKghZnwPgS4CROHTx3U0miY3zQCB4Si3TMu8HxDLOFWpOz2Pi4Bznx AqNh5Hd1GsouDmr4lnorg8Q3EJltEWa1T0Yup555QgXPc4OdWLPJhX0PF4qgDINNaRCEuvCXwtN6 D1c8GvHL+R4nGadjFEmBKCv72D2lMX+poIzNcwEUAoqy8+nwQhXSfM7y9bBn4ARHFEt5djvm4oAf +4kbBkHgqANieuL4gjjli3ZiBPE3gUIx1OW/1lsRx+C5Lq8LyGM0n1/Pt+VlNcYQPGqKFb9L73xA QSPXO0oOOZ/iXpn9a1NJUFLZew3bmYV0TCuiT2VOsivUU6jcbz0kUmsGXu108ljnar3uLNwactbv 59Yiqar+Lyo4j1pq1ohic0eIQgOqnj2cj2r6xsAUILsxpaXsyJY+GKhzyqFmgf/IcJI0Kxqu4oGe LAxuvnDb/Vbby5mnNnPW3aGpHhKpBIWKgoaGXBL/qXYQjuFPnSxMIK12EU2me4Wqz8s4/kHj8RdK lNl7ykcGXca2LEubtF30ETNmu+61G1010plJYbHqHRua17+ID4FZFiEg6SJxIL7f8CA4wUM2MCep PVco9s2pI3pGvTrAaMZN2FfpiBP5daOU/mXJLArj56aJr/Zh3bL6OXrcTsXHx6ahlVGbsphNefhg KfTWNI1yP8YKxEYr5c7QumAB1ymHU8eojD2oMHc6T+GMMETYOzFF+qX3URVlWUODi0aV+p9dGnGZ h1+TmZ3mAdU6HxQskVnu3SPalGg9newBT+yN6wyfKpmfJHLlZorC0LI5oX1e9EfDlSqNyVYMVhEs 9u0Jg8vcbsjl2gouvVwzeh8Q1lB5YYfc2sCrSsWH+33wK2IF8YUbCPkAqTmynjnMechR/i8PYKzh Dty7DM75yKVIEgLeOYmL3Zyh1/AaZlax5xvvthjIw9edPjAJ3LwmluQZiYaV68uOVRN1Ilp9j8sd r/ijitcfp17QlehCRUrXzHQpWcQUYgAjh1pXbHkG30DGy6j2qoBmG6ir+PCQDxUrkbJ8TkZP5q3q HpQIFY4yR0cMzn/P+oc9Kwa/bElglcxSnufJw5hivfd0f94D4CaVnt/IQJumvATSp8TsUUj7cqwU 1d3FhjC70TDk0+k3BUrH1J5pX07KuVE8Ufn977zLKyyCo780DXoHAssLObLpIaLDmX7ctyCuY8RL Psgjoglo1LkU/YKTlfNGgBEPEnPXYwqJ7ql+392u1uw4uY0gsS9k7eOkV80wOjbasgx0tnFqXwfA 1/mwCd4GskIAGrScRvVnBxOC8yCtMk9AbBh7yLJmY0OtVZa/gGTZwUMMG5xoCqbOCsGPIGLwK/Jq HUEhRhXr90+yitkhC47GP2KcweLiV/7vRXC/QSPJgnSWaGd/nkbShERPnks+Wbwjy9wJHlc4TlND l2D9Tv8G0INtmD25OGZcJFrgzbvLJnzi614mVcYvJbt9bVpq1U2fNH2Wu2vsko6QOujgEmvguQBm WmYojy3hN9kG9YYra7FLONne+SnFq/wmk6y6sQQ6X5Rfm2j+2Ayx13qxi6SiFc9FGc++Vz+zxvmZ WXCO8K2YuwuD66lqfyMzF7T0n3pTkXjPYUdF4c40D9azt+sJSqywUidJtBwXnsI/WE+wHB/tZm5w a1CPAKITKaQmnFz9mn17z5OyCqwjV+Fln1ZzzombLihQpFLdNrdMkQ+vclEQqwt8aI8ZJtHpdOHR Fc9Xo4LSjLFadgAKgel0IjRFkVk+ahtaVyJAeuYJkSSYiIXjhdsoAKEAdOjYXV2Cqx8+oNMQUMJS DpjGaf2DkZCDG68P+rQAQiNSKVIhoFFxybxSyFfQc3tcCa/wfJS/bDnGI0mpYCUjQbGW12jxpgCU ssnbXPom4UYRRiqVcu8MVnrwVLTChdSCy0PP7uuZrQUrC4O+fl8rXQWefrUydzkIkgVOC/0Kot7M TmcCn0Pp5mJoLf3qEIs6OejJQa+qzmxXcg+kU51nGXQzAbJylIdnLhPXYYdVApi/cCPH0cOpEfNc leuHYKQu5lXDivIyh7j3pu3z8k6E10oHvXDE8w0RtzWkwcKdsBVToLQIQkYZTAf+A1sUvaAQVWj4 emJJjpjv7PzJTk+1JpdMIw0Okabz4rcz23cNDvsGB4CxBc7mdbhhwpVddG29Bex7mAbEtX2vOaIb ZdjPpevsASfU2UjH1GQOtZE9OaTdD0XSyaOvhvB3k/4J0U4D9uVMnu+a1VvbZKFJ5/fdnhnW8Z/Y WnFq4CCz3YRsN+JLXZh/f96bkko95yIh1Ibo4Ngm+udGdEnFpew33qjJnyORtzuBwQwQUBzxatEH 4xtv9f1trLz2IZObuj5B0ZjjHv68u0+Nqn2WjR/bAO4Crx0pTSs/L341vrI8wkbvtXXx6qOZz1fy AJ3KdRuljnKBbR5tFeU2qScLOCzGca9xVqo4w/z4LYL65JATPIOw1cZjT4CfDCTAelce7wNTKP7r Bk34Y/FJA3IKaDL2VE2YUw9iPgqD3seQ/lhz+tyT6nf2AhNKfq4R0j3FwhQ/diEz9kTtDntw3tNk iLxfV3RYDpZEajjX2MYMn4xRhB6RKJbNXW0U+hpqSEko+k4DOpdNVtjFRWuXqvrfgO02/izD+j9X FBlja2zav+NclOC5gVZHSelXy3RCGBUDY6x9xSj/Wo8R655gGEl9bBX8aq3zGDdMmQpfJiEzSIB1 jjYTKjdHlbLNQ1+uKklRhHj6YTzLuW6hbe3hUXX1mgOSd70ViVj+6pisSxYH/sLJPRg5lU5Y6Tb3 NCVtsSzr1lggAVI2k+FVMjbLvMyoEKVNp4UjvHqaGVsI9DYkeD6sB0wjdPWla2FwnKSgx+BpqVg+ UGDx2jtK/w1FaSZWPAA+YioJFbyopLUI1EFg+uzYKtK8yP8BvxauZbnPq75/NXmAwAEnU+gukaWH Hor2KeJ7apxsWJvp+8JGuOV5zK8P+yUYXC1/WmjpOsGV8QD9VrAbjpDXUyo4gzMq/M/+vXRSgeFT mw4ugbDN+A9WgSDoyqdm06Sm/B5hPjLFCCZ/R1f9tfH6gW7GjMZ7GhRqH5puh87QSoQb/Hd3dkU7 K/j3CWiFvCpaPavttZq1QQtfrj+sfGyFWRAJVoKDtCJaqLSXPy2+CIohui2xn36Zwv/NNwMQrEgM Idn4Qbq9La18F4knpleUd5lMRTPosgfBXHE1UYMa3ma9lrzdpxp9ubTIX9t74uU4FqHxlByB7MFn ckbWt2vRP+qU7uKvkcwFJEeBHyrriXhmVgbezh6DTYqCS6KMuicl82c5sC2V+kHZr4BtYImOVfl9 ddTee7fE29hH7jpcfwy/tgCPezRlr4DKKnLXfKwE6qh3O7U7+6EHJ5ITwv6/OYzTePKOvhRq5/3H 1eG0c+D1bLwKCp7oEQgizBkdpkGBoArRrOd7I4Mpdi9krXVWd4Feh1rYCjIjJr7MSbaQMHSEQiAW JySF7/RSHFV3woZ3GZ1SxgAz72mQYaPxezx1w2WKO3wyvgiwe1xagFSusV6omWBvAp0wZLagBjbD 3vXeb1JfKZ7+X7UONXI9gaphiulhcTOvzGEwsqP8MyKdR6VS/qMiDo6QPd1+RB82ipdQ88kybmIs VDnLx16IpeTK32+uC6TFrLyB9PgCF427P7BJitUa2qrxBR8u3y3mZLIYIBI76/QNsN9enq4zDKJf pxUcXWTQJ+3HeGU0Z7rM16rU4K85FZP5vjRvxtu9iu1ED1g4y1f/SYpiUXo481vvRGh+iBjaFfzH OJpq2vjhjRQyJ77DANHraV8vE1yDeOejJHONoSxOuAsVTGcJz/DDW49X9M29Vzv1EmFrxNICNS0w zDgmLxJHqlpzJ6pdvI/TpHO4wCIUJFkWbL6GRtfjpJvg+Op8JbrPpgywYS4qmnEvTo2zS+6sf7hj ZriIPD1RCTSuO7dW57JdDZaZQrzytVMVOdDpDAntHxD5NqT7TH1HGfmfRrq2/SFGhZ936NNhy/NZ KtOt2S8MKJvZnPeasqent8u9cAwtCSywJR8odboodRHJzBQYirWNTt69nzM5o1X8a2LJsG2ky2/M o9ZPV4sfN+DtEtJb/SFgNil0Hq0n3R15ZsNcc2Qnx+jZZJgGNVpmeadxIxBaZ2OpBgD+q61S6hy1 p+zPWxrCQjUpkSealzyYrEJhiMewC3q50SS/8Ww6SdVLQfbcNc1bKWSavFLJQTmQjpD5YXgBDGk4 zJHGQbrsrPFVjfEvVlMn6Ei5BjjKTtu4XFFajJgeNmByBZR4031mrjnGRi1RqBA1K10QqQSZRYyw 3iku60+D8QtMSqsn/sFG1mUw/wNpDm3PIXv54a4NsRP7hCm5b1TQwmEiXaVZ1B8bInr7jK2WScvT jO6NfKadGGu9+fHeXsxrLf77vaswx3rQUyocLukGnqmU1oZAS4Kav7aHZiWi+jxJAMxWApnhYn1x orv83ywmw+UHONnKH2VMlr9KtErGZ7lJUEK2JclxSzCgufjFELL/70IeVef2NFSVOYXdH+5nPuB8 +DAuYznIXo3JRB0fc1umM2b8GE5Fs/Ssrt3QQmRvXQXHorxs7h0IXQBy7bdWcIu9mIPAc0oEDHs7 HaN0cYv9uzhLKxu4E+CwKbUvsV22BG35pPnnnW3DGefkB6lmdMLjBVPPFK4SIPL69qEi98c36d3C 5vbzoVN8KBHKECM+J7tWsOIXo92DfXbu2eoI161PqjFviFRaIJUbd3B70HEEMnn8GxoEELeHQUjg e0io49Y9Ws2RB0FIhJ3T/47T2VQNtwjZA2FlexJLuNYVhlGtqrlLcc7KaSK/RlPr9O9gu9cDZJsz 6968loaDY+66Yp1k01EoPAsHM4Hy52mmzXDQbOVm15O7viS7JG7y1q/OsnQnPd5empMnO0XeYG8W 3S75ca1+LPvv6vumg1WVZ/uc1kt/MzMJowMI/mt+406MiK+aQSrX2UHbAyyEJUJjLw9N2R2AhSsU 3VJs2AOpUYXV2oqqG+texikq0aXp8AV32LWXJsxkRFvqbWPxrIo2NC6M/N/DzmFPOkp0wxKx21dX gni/Bn7yOfsrI4Yy8JmHROBA6nPhnmNfsj3U7Bd3PTDIVvLmU/1tB8KQXtiPQNnZqHj9IOxtUYtv +B1S9TY64CzZIyFNggafzF66qqutKta6dhPU6jci1N2m5M+DGHTu42kHpqvyb+M5Dfsd5aTVLGTS n54SOTMvbbsny64A9hG0D4+Ir7xWEP10sSRZIUtm6zWOv1xUwNNYht3xgJ9+TFxZbmf5isM28Olm FtHjbgft7jRx54dmKlZf11pmuYEv8nj+gVZ3i8txorB0eq/nTmRNf9r8uZT6Xz3FpCpHuGPeQ8rf bcSYNNUYtdRRU/e/TtvdxUojaHfGpEt89zX6a5ng3bvxfyaI06r93cw0eLABbmhhmA3jO5Lo1hw4 RS5sTUb6DCe52lCyBAPgcPEIxl+Uq7up2Rd2d+XApgRz4m8y7V3cVHhH5PDEwulz6rqTSQ5aHIFb r0Ts0pOtpiIzL4xW5kFHTFH0dtRoxdto0KvqwFjfjS7DsXVVCzELm/VaZOEAZ823O4zIL0XH2mPY 11Mw0Z195jlzN0dkTldl+Hxggg2nkv755vcdZBdQ8Ke1tnZiedaieYgtkdwF5t7rDYcp0QtZp11W kCqZObMz9lwht/XcQ0CWHW7InlygaSyYTzyWl70vLhxLDxTIMdC7Naij2+118dFUC1cnYhUgGOTg Oo51c3O5ImwTv6ZW66cgks6n9MH8UEHSy8oN1FkGL0FFZDWsO5xJzvx5HK+aXic8qUNqQGNzF8mq pb71tsDyAvV1HuxNNaQiZF4JeQVBrjd9BUIW+id0qrFDBv9F/h1tTi5NMpF2OHwRqj3v6SA6aD3o JehX9NQDr2GfUXJnVDBHFuyOHF3U7cRAl2TceSjLZhBdIgxTnrd6tZb6IEAkmKX+UmDBMMBQOHge reC0m2EJPmS4cUfnfDYYWkqVSkk3ocgokzb7I9xLrxHXGJ+NfDf47nPJ9V5++DsA3qcGH1GE750H nUpPeNZogiGK9g4U2AwnU/Ex/FQZKcnaT5FUfC7MJUxSrRykoFnc4Tdf7R0uFpf5g0lmE1LmUhS8 VLjfV9dge6jGeLkBMt+kdtU5dJr99P8nIGbB3x3BnmuoTyOQgDN87dARUA4Pk47rSIwJm1JDESQc bt736pea5QJ5qUVQmrh8WaWwi8tYLRnZWTDEixHhsAPQ3D+NHv+JXmqDJWLctHrR2e/748a2U6Kt jkOJ7iIXqkbRF4kCFBaphJl7mEO6N2+Y6vnEYnkR1NNtNozKZ3hKDPWPQOSkN6tcZXT4IvXmV5pd BaSqFT9BpSILYepR5ZgxBMDPPT1/cDkgG33/ky2X/AfGvXNNWJRAHP/Nt3BmB8shD7yYit1w4ciT 2ruUZGj2ZfiIEHE1NZxpLqhTPffs8hz6/VJmT/p1rZG1DliqDyzHQ/l8Gmde4shXYwuPutfVkO3E kJuskXa8qfc51hUr9GDIZRSC4IAmzsmbCuBW2Np0gDinS//gD6iG5/SlbA8Db+4fRvL5R5UjJUbT Gz6BFuXdGabas3NNcmQL+Dg5xxAjQ8IdumPpbOgG0Q26/6OF66k7VLjOGLgIQzm954WOxW+6T+Pv gbrXsHdmrYex6YNG5De9ocPozznQDEw3r+8ZAV4AZrw96U6rgLf0WY6eqo1E5Qpj9IAUOjSeWb/u oZ6jEE6qjR+Hyh/m7AZ/TQJzVqLZNJ4HgTPr1EOxzwm/b4GVmXIIW+oIWItBjEP3JC4AkgFgCEdz W+m4xd27ga/LEsRKR9QT4y+LRHN+VGjlZHl2n5XlEqq9xbtclucZBbHWZxS077o1J+9o6FPvsKm2 MZpGTUiMp94J+1W8iFSKy/5Ty8iCGSk30ShbfqWF/CYfaJZH9n5OXMduCvZwtQIx2EYTqNE+UOIu cDuG9zbCleZvkBhiDPetYjtoLdU41j1Uodx/jS8o7zMc/SItQe5zQsFBjCs+u/jZLLdp79bIF9uN 6tEOzjmLqCKrd9SqjiqlI8AqSZjSG8zYj5GdcgrR1xaDcDuVyNhS6Ba4NqGqUAErWNTedbcWwTWa gzOif648jxZm+qAzJ6IwreTMaoI74obo2J6mM9UzZbIjHHumMeALu72K3BohY4vWEVI0DMtV/26/ R2LDExxUJ2SGZ09TW7i5w4WrJipU9guzAz7i15ta2s2ylvOOupvxNAm4mHGRvoyTjJfpLkpTbYUi coHEo2nkEu9CuKernO+4K7aIb9nnLPV0ogs/O6ay70iBIQgkLpR1MwTvZqVlFGI0TJE56tAPbGWC iSuZjFmxlJgtTBlqSHcjxO32DEuxs1FvBTcupG5ZhLw2KK7wRMavFK5D5JhfPqxj9IFi8MHbBYHp BZ5LSQgB0ueCFtjkqykxJsk+0+BTz+TJmolHYUtKTuuh+MDSFkKHhDRr9yJzdisok9OmmjAXjBlI sG5M+P4pkWwUOF36Ietvt6v4dTn17FG0YZoTxAPo5Qxk7D26klsea9Zv7EZgwo9H/KWtELAFjC7g gJsftmUw5YPj1a9W6zrVh0FHhXW2m54FC3rGnDE5ehT/NHdvQ8tE5IEpld0GewTvWnNh0zSS5TWu a9InPN8+speVC9+73HGre43mmA1jo38co5fVdWQG7PSscEa3fG8i++6wDICbUig6tp/qGZE8WT4S k8L86acw5YKQdpZ3clAcxTX3KQa+Fu7W8kiPiQranuj2XqrBMdSZWnBBT9olQZ5PQ1UnFn5t8SMb 3Aj+PAyHtXWafOTuG93wqCh3tSMhXAwXp593w48xvRIufs0+MNzAcEwn+tAoX++fGqCBmSEZkgQw D6Hbpz3JWg+yIwYLMJJcVVpaMaozFi2YxI2JnUa0WmBA/beDPlmqA4rLvgddrdyxxsdeKc6jE+ZB fk92AbBTWmdOCLPXo2VQs4SknLzSaZ0EwYbrksLM9Ea0qVy8Gp6UY8mW+OmG//1hSCuPeP9XU9tP uqKhtticwGc4VuCXW/VP1B5HHFlbIZXO23KZ1ZNzk314BhAximMWmVbP+ZUZ13egKvVR+JP3uUiS 0nQwfxYY65Te09LsXnINN9SeGB0jNFa2LIJPKCk7O0YJAvKCK/x9IBYJmg2pD1T3D8ClGhfQm+Mv /ThIZ8i85vLRG4a5yJaD2paryc3v0RgGAaP+YVvdZmAL3HhXswHmIvmxVUTFo1CE7qgfC20405Fy pkcAcm/iwpR5Sfy4cQZ4Y7hxyEXesHyZ+id8DymFE7J6SwxE3XnLlyZOZT/JPtETukBeI5banoNQ zcfo0WvrSCX1LjGM0YKzLBknJQJP3GxcOloTmVXqWMJS9hbz6FLGMxYmdIEydWvAKvwZR8MlKZdG KRxgzyFFbElzDihsreMKQJP678dCvGfXngjb0k6TEXXcbx9vBbVNeVbpIv78n0dwrGMxUpHMqTYy yR8Wzx9evgs1PrfTNgX66WEmSu3Z0kYOwsCHbedAlcFKXt2p7ZYyh0CrAhkexF0OLPMVxYPmOGAG 3wOG5BOaPQxz+qdhpPXGPZ7Him2JyhTACfKxQORS4+uAiTXLwLn59dzb0HQ0o5vjD+6C4JNgpxgN pKh2VSLVVhIz+cCyFj526oi5Jhbo3ldf1MkzM14waG3RFCKrlbxh+c4BxFsrn/duAsFdt+tkqEMu c3B+qPWYcgvrdq5txQHYYVY/+xV07pA9/X91/sqVTpU9y5AD2v3zqMfNqVlfAFx/UkGUzINhiBtf ZXP1Trf8vprIHPveW91FqVeUN/yd6yiDPw0ST6fjpqioQiAHGyfr/xk+b29oDDUjpYro1ul7VT8Z y9TkXhQJ8fi7moEVqQ8PrNpyp5bbYncP5feNJEj8a6Ep5XDt6zNtCQYLnmom+VKC7Yk6wZjwmWcM ahNMn0WRwpvfs30KxOk6oZcvDLxYTwbr44UIJxChk9bLfC9b5/KAInSBZ9YvQz52OeO51VYckwIz GJ2JO1eAsSBnJc2EIHumovKFtktBzpXNNCdwAEZmXV/MHMG7wU1cS/jOLKv9Js31iAS4dWqQGH84 UpJQJFkqieh8LCkdfcolbi+AS+4HBX9T0sPb2pFVjl/vPhh+Z2jA3PIAYm1WHa7OGdrYHjo3sRxn +Abv1GALBlA7n20wqpR0ius1ygNArIUMxeI7aCYWEnEtGJhmhcirSGGPKt1szhw/pFnDeClkcqeI eR8Ns6Mt3y/NenY7RbbOnMIVjATvmIj4Pb/DUzG4ur0GtB1DWFx9by526FssVXixUN328thdH9r/ 7qwMDC4Ub5XzADc5yZCQtPYxRszlAxZBccB06RjiOzeUj6zNWuJsw4J//RFwvv7t4wI8XIWFhoEg dz2sB3DMiW7JxpOvCRA0dbsYbwYEJAlvqV6tnTbhDvk6Q+Kmlv2OflBmYnFWJWErwnLTn9gv9/Yb JzL5TGpgrdLcHekmhB1vLl5STrd97ZOcbof7HS5x9794a4OK1QN5zj8O3stnlktdwS5ljAqmC37i gROxzTRYbynGfAOuhxXZU3kG6HLrDl4c6M/Yb26pkr8dJxn9dFKst+UTOUhuCHECudbcKVZRAJDB B+atKddgiiE4ea46CPC9L7jo+Cwl+86JcaqQnRcnVpvCaeAvCf910EwHlbtRyMob09ptmQzmA6zz G2MKhgoOP1ghmsAqA9EkP6rVa1GYlGTi6Ch1ES4iTD/xW2cCMJ3xtnWGbTEzScA0v0Kz7MvFYBPS VB0TV2wBenJXgxURGem1LNoq5VIXyMkdLh9PPpHh/R3uV2TqV9nb4B2m2PI0BoZbY/CIqSG+ThEa FlM1Ddw0qOmKaKnnJw9MPXUTt+ZUFlFL6zIHOK/NIveJAok1ANggqdVC3G3K+y8zWe6t9rFPZPL3 NBRKmIBQjLPud5Ub1Y8JxZMRfaeoBstan9RMSTZdIMUQ1i1EegHmmNXRFGmpde4XisCgxdP/6orX lW3lBm5RMfIDkRtm3OEMxh2Q//y/Tz7Nz+V+AJf0QGPW0/Lw2WUD0qK8Z6raDi3G1wLPqj3xK7kv Qw0UqxeTozpikz15jqTxBzK24CoI4zCQBZhPeeb2ZLDN2I4EmCsb/qPqMQ9gFx0VWU27ohnyjpbT qPzAaNsuR/sb6yy5NghMtoBJtM3r9Rdfm1uIIz1o6MTGmUXUQIkfyut7uqUgcIeXM3YO9wTCVeMo oOy45wGZYOO6tm++ax5nzim3irhDbTQoJ7ynZpkFENvunl9Zd20CnEECa1AEUjudnr9oXchWqO/M loqV+8uCrNYV0mqB8ujS+rmaVsAFmiLDbcCJikAdpmYUcRjDN3yeKxWdyYx4RBNaIYpZC9pFU3Ma KiNBeMQqW5Tu7p2cHdiT5PsJfpS8Gq6Q57UWQFj6TS2IcG/4oI4hi9rO3MjNqpafdXiasHFyRjsK yd/XRZn4KllWYk9ueeLvkIXZYA6SZ9v+EG9qytK0jPmWPGU0bjlC1opSfP/h2usf07t3M6nBQAep Qq9+qdEHpiDpgfEf6JxeL0s1H8SorXys1lOrhUrsmXTQ0FaYurVw/Bh5iITOV4+0SVykFrz6o+HW VAwNSsjEuZ4fk/zFoLJ8SBjnP+V8Sy0+LbrrHL2IIcHhksbN7Ox9FX+Pu0Ix7PT8VEMfMccMjyfi 4opMZLM8zGwLqTBvdCtCyWTQQCBuQ+lDt90JFUQsGuRRy9yamIFIUd14Wpg8DRCFV4JSBnvR8Qyy BARyx3wHka3G5bNqnxqxfJFXsdDiCPL0rUV/AlP7/MOmjdAvBTfqs9wVfPv/yNYorb+cx0hawl5C QIIzUniohDThe9sGJsXScxtwnqbjXHVzW3tzcMbLeVIAJIRf6b3KTBKwEfBR8KKqbeEVWcaZ1aJ7 2at9uWI/phK+aSfqosgwiyDVfVfM2OxiIQMDJFdrTs/1La9X9ZQ+q5axX3hGK84cZ9oDOdlAV2L7 9zBmjcbLohx06ZzUKNSS6rw2Vcx+k3kH0LU78J3tp5e98m09e7bf+NFDoPjj2I+ubrKRnQBU6wQu dfQWMUvmLK82FA9wvqM6FYGNb2auHru27jy2DOGt73z7Z/wYun6yCzXi9WaAl4uZKdfTdHX/FhQw X0ofzcYLSUCukHL2rpN5ij5hff4USgkPNgJhiW0c5njatqGs6hBckoMgbTo0FMQ1aD1EE3utPWjs UQVaUkCGlXox3PEDF3cyHy705X7LlaLxxr99xigmiTvCLpfXDxA2n3Wcwmo7zrI5dXiMmDhi+/wm R4ui8vt6IAUuvRd6m0PPoU0x0orw+1zQxTTQGtkwXzqjM7MqqeAEJJsWTcd4dhhM5XpCSziQjBPt mPbYYl/d+ngC23c+XArLq9gfFtdextvfZmT4dSFR9RvE4s79y7WcgZhsrJNECIA7TWwevqxJV32r KDdZzq28QbPIm2Q+8R/aCoBFEDCOIF293x04AIB4FflOkdFnLAvwGL7zo1+KLi2vJnzMzESrYiF/ c6WZtdLAcrXdlordlI/pzdCqKUKDcpHg2LNuFQktz+xw9ZrcytSUiZ7pzILNqtaevKgb3mFFfyGq fMkyCp+ucuJ4iNf2H39J0mf9bihGgsO3pMYxdeEoAEFTbAEYhHz80Nl1GRqnks306KtpfmKKvDvD jQjcY0o0wL+usBLCdpxSOJyFnYd+RF3N9QsjIp9RlKlz1BVqd2wB0ebB0oCpRkEw8zv0+jNHHBJT Z5tE3Qm8cv5EVj32xe2nYhx7BZR2BpMETHEhQjOWdLwh6TDQuHE3+d4QLVJaNLF3rY12HhFVCkJC kH/ENiw5LkKNfe2TDQs3fODwNgNkNkBoKk849iCrl5pdd+nBlN8t500bQFoAfoh4T8I+DNhdcYxo HHhA2Ww/bl1M+enFxpGCZTKiwZlSQlOlDo4E8BT/Nw4xQhndgXxdK4+bJ9JNy4IYBogIhatX78R8 mPwRbGwK3GAo2ssNzcvn1Z6VfKkQ6kT7IZuJPMbltPyNFHOIiiUSvU+eMkAPnvGD21tA49b6NK2d xCKCTQ6qVxKSy+yPFmE4DuFQIN/uiF8dV3lrDtJ38mP01Fpi26Ch62jin3Z/5O+EM0hioBHmzUeP HowW08KtWjNg1w2eT4UZYhXs6lYvPIUPFLaQSJf0f2lEqJSAFZib81zDhduqhdd7lCfzXp10zKHh aXt4CpOFSrsNBfROU/PU/WIqb7ndcE54iYTBmyzlIYN4PGF1KdxaBrWdWCWxWOWZfo0glXZq83T6 eNj2k0K0E8I00MHWSbPPiW2TWCyJhkXtq6Wga8VeVLLEQo1NI2m3uQpxVezVlsgf5nPmU2KSQguH h71ny3U2CgXJN1KhuDNIfTrYsn5t7ZFHnZWSBJ/rict4G9g0BOJtFig84nnN5u0MthYEFC52Sd9n YCxQfNMx+hnR6Qp2GjPFBHGkYUY2NKb/otFm6+c+d9eJHVYJl8qeMLXLpPTcW+q1lcEMivKtlQIf GZ/dakKlkzz2Op8t1m4JaLTlDfYlj7gFyTc1e/6rYGa+sxEdI0RS3v1ej+3RGM+tx5VsYp+e4QIT Ln91MDqpJ8dAJgQa/ziiMe95KzK5MxhjN9p+U7i1+US5am8yAtnO5b71j6abrjFQDjcrKlVR1E+T mnsAZizkp/i2ihlz77HvyKZBUcGpPIedZPekAmv/+3oNnR40YtjsxIcnxWpOD17zqPom8aL4VRP2 cr/AHRjsTS/dlOa0ma8iq2trgnVcyT+/2DeRyvYtYc48IpEHxn3nPgeJlF6hzoHjMsUHRJFNMYt+ M5qiTCJfCrkL02t9opm8umhms2rgYB2/XfCXIbC86OavZlrtzxXOyUJnDjhsPpakN5UEOYGwsUGL 7dd0ofLwIcFhjaM1kajMXiLx8bS2ijlz/ZduagfdVws1g/ZqPybWq2/Bd5Y3kr6CF0PmnHbzUZk+ tBLi0p2+NaraAt/TPkDVVsS36Iiok7L/DwNOkSbqFKeucW4ZI9zj4l8X+qpIbSay4YUmkTCCUlOM r06cutxKKHOdLsDaYPe4GgM2hdudbeafNHxJ8+NUrdBvbC/7iWl1AY3Ib9MKTJolQlMjebaxy4X3 ZsK5wLUs00Myg1me0uAePnBgCld1SG/GuNmAAIfGGVL5qD/GWiFEhjSZV3P2v2txJ3PLRRLqfHe/ ZYj7VVm2XMWhBzihh4Dzmg6fr9vfVfbkqr2Rw40N6EugtuLUcmeYPFgzJuci/52b85FWmmR4TvEi btUxFtC7s0iU9kpxoDALpLlkV6MKq9MpG3W4ZObKTzvjYmHOM6LRZ6948kYl5W09k2JBu7KvGVWQ Kb4FFtLN8Zpe8Z/mSbPcoxco0TGeXP+f2z32vw0D1ox37B8mIc5coguvASp8DFvXmskLadio6nNh TkpSh2LabgSSrpJmiibEH2gh1NEjPRKgRRNGX2euvQNiMdVIw5sNh7ZGeZ3sdTW/Y6twhvihJjgE erx0Abvf1D1FoDxDpqUGIOcOZC1Ro6rZ2AiLQ+yVMR1Obo5cgIWTGFlSYjkT81LvLARyjXpo5dwS yV4jqOPo1SWczVJh2Rnj7kv8H+GhFSQZkPy+hh1JW61OW9RIEyswT6GnokA7Lw+knJN2Asl6b5V8 3ZejMkYywRyh1sltlBtbS6+Ik7ZVlvDHgrbodsmV+OK2UjCWcm0ipKO3Ua7xYNThBHPF0ZLY8Q+E mQIZH5xteiR6dAGueTJtJRD/uq3n7mEu1lPEZCgnQEoSNC2bZeVz8unKwXb/94EBA+ZqtNhnrzh5 PjrB7heNNNEvFzT8nSdPOV62t8nY6ZihSND43HhhVb6zOQgc25tjSDC7atK3gVGBCPtfBaIny40m g5Qr2IURin5oUr9LCaGD4ThSdMy4jqjJhlhXwZiZTesPm2Kq3szwz6K9hTdjPoMlfTj9fBoUzgJ/ ksEb43qnqrxviqFwpSQQI51c7xgO92vWS5D/7IOAUUXsYJNe7iLa0YSu2lgZScWo1OjzmAEd4M8H ul6H9OLAMHpeDsjv4g/DVJ3lkTpH4A5fPkOE/habyCfRAnsvzJJfophl8NIXJgqHkNGi7uAOob2O eBZk3CNITyLKe67UZ7f+ZjdjqZMj6JPgg+XqSq31kYe7MeSG+2ZWngvCupMxQmIwwUJLspsIG+JJ ZAjmmR2lc2TLK7nc5tBUBU2UXL2OqOczHJQi39SE8kkVS8JUCNjQueN7gwhhA208+9eQB231ArVb m8ykyGPgN5816wq1PPWgLfGj0TLx/CJkPGubstbMoBQI7f62SOdtBBvf/6/gmBFQS/g7B1nJ92HP Q23BVwLNR6IcxdNpu00K9Jo11Vb6mRkc8JlK/sNiZom0sGIncHn8sGwy0OLNOxKQ9uFQrccujBsc 61bCoM7dnm9a6/EIGW4q07khowzWJN65XV98sI9v5qBgcn8+dvzY8ddKzptwh7BlsIYB1us8dUL+ eKGrBvPhoJuFN2+k3JolRUAIkG9qdH6+z7SbSk/drJehfkYYFoocR+dWnK3Y7qN2ifQc+dkrCkUN eCSWGAWFPUP3y+OZXwPwdYDPgu+up2ttCjUwfu4A+zhoYR6rJWe4gUk9Y1bYOXp19TdOBt+pa8qn 9M10xHGlvlvI2huR7ZCSay2OtUw4UbggaS73GJLlE5mhO3NDZHvcjPILFevPnZw32GuIuQf4PHKr 7216+qXS5SY43EGmvE6wpkqx+DWQZ2oL1W6nXBD8NQvP6OaNtcfBDAKL8t+hqj93+DHH7W/n0kZq YpQVqGUmuZGvy80M0Ol3ykfNQs6gu23twp36h2xD9ocoiD8NqQWYfkg9UjRsEZVdO00mWNMvid2f CNv6SJIWANhKMtufPZxVYRykr4rz/jEaQCVr7vnNEvBHFUnPcvJHmTHM1NmSFOvOJSB0yTUwpZeP lHINA+LlmUQtpOE9bObbdvfkEohCsysDcQ9mNNC5D3uS9M6hvwCB4vifZlZwSiZZsJjWA/qwUsOa 6NYEX1LZ/Luh06JG/RpLoll09IGbpjtF+JD3aqEY1gOskURQZr2pFZkTbu1Qrf7lhI+ApiecV7x1 bfuQHEIWfLoeFnxHc8ZxZhkzWv4XRtSYgh8OsTHorUKj9Xig3xjNa+CIgPbjjS/ceSQ5+7cn75cV /mpglso3wLOXO2Q51VdkxfyYbHIzS8vWronf0SreikwMr03s/Cr0lbT0bfneF57Y6JaGF85lFTAG er/g1XkiDp9yy6yVVIhhiCZOZ7Gf9jUWiGa+4gTSxkI17y0GE7/30BlA+ncn4UBV6zXe7/Ve68RF 4yLsSRtIw7BG6BJyHaeVRwy28Di1p/F445uhXh+RTpBV8qsFeeFNyUxiPLA5teTgoE9NV5bao9iA SCcjA110GF2PKR4xqFFMdm6ItuYDtH48G5/y3ocrK5p74STJZZT9dT9AK4tI/EmbKweNgseD6Kul R92jPOhqQ1Cpxt42ApIy4azAuNebogavLDdrhL8plROrBIuvYfVXn7TXIamMreZ3gn2HUC/8Mos5 QlJWG1/4EFXJ6VEic7+AZVdV8iht48nbjDs7domIbmLEG1L80dLfnTqxV4+E3T537+gOnJyAt91T RFLub/0bLvTQNIUxqO/X9uKPEpQBtETV7LJwUJWHLZblHXB96Z1zWZxu+r/63S9e2+b+COBoXKk7 rIAp6yh3Y219Tpq4G5N4j05625pJAjtljnf0wihAgeEKamcK5S5NYfz85QbZC85a6o9z01lIUmH0 D0uhJVqqyhp/tqUCS8A+RjaOE0zLAFxJEK7wf9Rsvg8tPApYY+aY1qOwf4Xd7FTFqR10ZxqaFHlD C9rQrNEmPOT0/v1ptD9l3n6BCEtZXjUlTcL3wX895gboW3E4PnT6of26BJpMWPjmcvbIJnbrlBQQ rDc1HwNpB5pTt+aMUJA61S5R/nbY+LFyNVK3OuiEgQw65jJ3IWrVKZdDG/5VLtE5BJp3upLHVcvp BVsdg8g5ct7liZDIiGyuq0CB5u4kjYUsiBaRzYAQPiEefQm1m0GDcg7t0HxPd/3FfPkry8AqA8P5 Kj5TEhdZRtIfvY0U5M15C2YeOBaz8oIupK7UexRydifAicLUjCgP2KZV4q1L0VY3RyAe77l+yX+H xz6K3Iv0mW+zGFd4eqchmMdz3xhgnzJrrK+MwXDmJDNODGGk9McxzXJU8NQ5aviEEEWEnmYPMLAA tO0XzjEPuqrVapyBFegONC7XLiZKWHl16sNIPpgTWitY2CpFOJOSPAWmaBaZmzk7K4UphQY3sdY/ nFZ+m5OfMoRRbrhWgv3mnDQxC1Q2qZSMvPRUbTzrnujKGXm5KAJ8dsSEkaDhDOVHMGpQMP4sTqPl 1aQP+PzsY3y5mveIrt3aw6/AqyUd8h47Fbxmhuytnwbzjvn+ZPYT4Tlky1OmENwZO0Ul3+weFujy qQjJNfgVCg4zoZrNYnVS9J7fOjpc+dzT4bbceFn38FNwrY/vQoX6fJBmqfSvrci6FqI4Ci/alYeL 7YF2UMqwuKn5J4OV+LV5LPhwybhlbbN9I+MhF97PwLUQX9peDQLmJ74EY6q1gDdSxWxcfVfvLwyI kLRN6iX+hdCf3WlgyQFStTts5eE6OeUReX4Ub9ubImjz94ZwzUmQXOd9qRYGLw+qSGOQ25T91mRk TDupljwB9ifhDpyfR71rfarfpRxj2okSibSFLDtvKwl8ZDwH/G6TXozVxiBJk5taGrOlwjXteyl9 9OCUD1klM6SpYQNqVHpcVwRj6iujTOJFQc96Lyhcf7BfGTJieKV4lq/FI6XpNoY+H+D/WdHllcj+ kFw7t1jl0mW6r1zN6TPfFYp3ZYVXspNbbXJTBpQPJrWJZDSrX1yKGbvVScCZljwiZ3vxBp1lrsuY otyhpDAaW0ZccFPSzn1GkB2SG2XIQCD9rbM5PBJ5gsJvOswuV9i3dyFOyk5qPWPcb8jmltQcnJ0S 58Cz1DyBa5Vjoj+rz9uNMpcviTZbFXs+WvtETJUFdWfX9lO/77st2wpygPTC9UNdltg1bhCZE+ut PZ7djRQH+J0ZUMGmOGCp8oZ22k+o3Np00Wc7HzydI9KmovaPnfsGwgZx2IFDPdPiuhX3d3ohRhFh odplWznwbPBbaTBlBwH2nAfpbm0O+ZpmzEoPn+iOMKbF+p0S4Z9mlis7TU5xB/Tx5Rtm7Sw1HcZs Zb3hGO2wugwoW9838mtAPHt4tzvPFlfdMzmm07WdQaPSbjSRh56l18uapGV/gKNt1yd9xGFLRTk9 5h6fj4NzhD/mUVAjnlHyuC8x7DG4tBJUjFbCcpiNYcJecJ8yhm/uf3ngICzylXEDsok1GYJwumB1 d/hkmtJTbeT2ojGqEDwB4L9CXGuZh0SiIalsjX9iNR5JYb5cB2KnH+PF4TI/uG8i/vNRy1yGlUNU NhRWRw2pSouIgWjxTPQmERLTcuPPZbhXJ/ytfg3r4u5KMSZhJ9fMD5icBXB4ulg+jk3ryvVE8pcN l73xLLnI6DAKn9q72LGH3gdRT6O0xXwNZwbkHcrqRGrJZ7Hdezy9H5c7t/jetDJD8NdYChzonhUa iFClqq2k217X3nDBjodW7lBLGx+ylQDOocIaARMCtqR4T1+u+WR9M/aoIVXGZi4KEpeoDWPPtH9o bdKhEv3RLfSZAIBnyKBrGHnwRnfbIYfT9g38+zydMj4zdoTMxtB8fW5km09JQf6CfhR2jrGSy6FT z317Bst1XuVas6BJL9CLDi9dJBY6PCAzyRyUI3wzZjtHPV6QBl3S6jvjtGnDJW6m+N/s5QG6W9n6 LmE3lL8kuQUXY+PG7zGFPKXmE2Eg0XXD4dpSTLUvgoHPTEdZ1cKXQHBDkuyq84c5jVcwlzuSAv9J NSz6BdErf77x+OM5kG/i9SYTH8wRRUKW+oapWCrQFMTXhAhx/EjLOpE/fRCf5wbZ3Q/+A7uTJBw3 oA2Rd+WYLf/9t6hXShbG9svPcPL2LB6nKfBqPuPcVFdgU0I0XlQL3bhwWabXzkoyBHyuivr6tP7T 0fcenG50ZncLLPCwHe4/tbfquXyn5xaZ9of3vbo8HHaao074Jek3aYGpfvp18Aoc5ozyyvZMmy2p z/qVR/aITPNMtP+4/A8LfVxrKrksJMKeMXrCnFM785np6d+ycoLu0fe0q77x6hg8oNqW37jWDDCg 5XNjj+U4RaKxoScx1/80oo49wi/NlpC4l97DhcZO56/jE4xH+CNAWUfrLB8DQELuZ8ldpEkydKw1 5DQlEcLqMADeQgtdaz7FRY85Buz7NGqjYchqloP8zDPHC07D8Z1ABD/n5HonSSUK9zxz3hWyeY4x NyRgULY28aFhNjLh5vhjFiMEF8sY5xu9FszvzDTy7JNSRectn3g3eZAOMOfnssRjAqlYmaQehjnA FuwsdbXMshEtearaLbnT+hh6WAc3amAXf0b/JEQzREp44qGoebSYyKLXNxNsMx7C802yhfPg6I9o x1rb7R28iTSV+rgNIrbNySH4lIVPyMKLu4wiGG8NnDvUxpE+G1zbrwF2jSeTae+EHDdFIwrxMHT3 Z+Gpj/rnV01jx6GV5gFEuYTIE/+eDSjvlinyM74JYjrFUEoreg2tN/o0RAJ+8qd2fD8dbzjHV5kz L3OhAjwLYClmDFL71TsfL9UxAS9bsMWDw9QRrb7IMTsyjcXNMgan1WgkOZZpiHdr7Pi6t9sRIEtg VOW6eUVzxXkSqeEhTVYtrLndQ/8HoSgefWEq5JJQJlhyQbv5O/6LfcakCqClPpRWX0Mj/4EFPhmN RsQAz9gCmg7G2RgMA8CQhObUcQ+0yavPJGPv5cf2vjlb+PakKhI/siurFmu17r2+51Pnf4dH8pwx U/xGyAQFZf8hEbXmAeWriErXAfeXUCIfbyIt1h5/xTCPpUM1Nl7VCspMryxLldLsjKKCVWoFXMmv pdkLDxntlu3fdP90R4ss0Cvoz0gF1DbqQpnTbnOiAZoWaWBnTJB89o7+xRga2XDaV5IRdMezZu8c uRPzPtab5VvJKJF34KAgooWvkhTO0ItkXnzWzopQ815BaeMViLOjEa8NZ8UQ7sJo9BEu9CCVlJNx j/VXAty5nQsuK79IkJhXW9qFtukjuG5czeg02rlro6YBFSpCguA7xD2HgTi2h2/1oBrwlwcb0IeX 5/qpVNNxAgTsnDQ9/LmNrQS6+keXOAsWSnk7ktgTHjZDc4UfAt9lV+owqMnjRwnN04glaIb7H0ra glE/LaYlLEGXxIbVts3IzZi5M7vYm5rytUrpa/jiKPjmaJXlrwGcvu/G5LfVbDNywIUlqv7W+Ph6 RppxxBu18Kp0Ic2ePTjoF/Aey58hIlecaQufzk/0D5iV5cKuOLSxG+uMmzXm//9VXLh0kaeh77lF 6Xa/zKp9q6soQjfrltZwCZ5HnBfvzEQTBA8TuWLGINaO6Mzxh1AgkvMU0aJ2alQRjNag6AwrdcDr ajVAgFkV0TPzcOWJKZqO7A8E2OtV+wdGcbmXqEvaXevlbdIZTZryXIPj6mSNEI4DrrlPrKkcVxii One8RiQSn9NM4vudJqcwVePD/Hz4WLYuuvpAnW5HRMfxu5a0hxPPTnyzRdaAysgnv6JDtdRQRg4M xAj9qKU4sQBJGhj40eyca5BDinnJZfJWwl2uS6x3w19AcNRroZssOPWGzNJiakLoKwxeBwtAGBxC AbcITTlYjFkLl/n/tIsgfbHnZkke7KfMx4fdrYKIUsy1fwlG86lj58BtLQRq++Hw5I7UGjTNQlf8 aZPb3ZNMXAGxJ3uMUO4yGhsmwFYQ2EFuJlAYrNxdRSuSDA5fTvBXVN1b9CEikcII6XRkm8Cg1/PE JAL7uNHcWHDCMb6Bxqlm8sqHFO2Bio/9Ll6mqYMv4X4TRSCzkj+6D2RCorhmqhmLZ1QTOdWu81P7 BcPC+KjDcL+/luSOnpXo+NIPt6ABneGr7mj0orqbk3zquOieeQvU/jH5P9GNR82l3OfiRK4HJZI0 VKABDOQPtakn2FauoEZgsKtT2r1fVDyFOUOhXVRYGSuEMXqNL1Yw+zJOPIWjtdvyf6/X4xbLWO00 4N/tLYDSFapfinw0UM4g9qEOSabMvz1JkVF0bPAIIycRsdwjtj47I+dKIvAhe9oV93bFt4SoN65e IunALXEnIFuE6D0nERIR0qWvXY7jT2TPZOr+uMsMH0Ql8A1XZP2vsnSwv56qqfJzqy65BPGH9vZI ev3M5/rvXnqsGGs55w0lb1tqwuDJ07zvpA2iepWYIvte4pJjK+OdMpSTfuUZMPRWauMIzTRi9ztc 5xfO+ezcNIgJPXWWxZcBpwyzfAz9CJ5iz2u5ySis46wQR3MOOR5bvLw7m6W2bC5yZ3+VbLGSAIaX 2WYx2vapMsUxvPX4DDEdY86jsh620ZgUQQWcszVml8owLgxfhmZ/gLgi+c5GY+z+SBWIwg86+lrF 30zYZtH8XDfm793khuKFoGwKX6CmUA6zJwhvIc0sgUUG7bvp2XcnQg9pw6w45UPoduVoYjLlqFDU bVi80NkdH5AFxi3uxChpwBMHYvMBfCpRgrY/k1cT3W/5IG5Vc413rIBuVhKd5fsXu2mitOSzTwjs x6vz2ZZWOMQdox2ZSfANfreZ5bPhgviV5eDra+gMGeVitLr8yOctOgME7i1+vqA68j9QlKNnOPkf VK7roI2GvYxtHWwTjgnUOLZsJ4ixUSiJmdEWo665MSc6tkrJUZKRHH9pryZfiSxTTKw95BFwwr2Q 0aPUUTOyTOtlE0E0y0BHmncI/axjxFKyKXJKuE8uEgN6RebBhjNnoe6PySn3xlD0/iLlRNWdMyUl nW2vRtZmbI/UyFfoPAia/DP9uleXCd5X0WiTBm0wwb7p9rHfsswK6KimNhG8MIU/YQQ8zeHunMWQ +ALgTly3lg9lwV8NtfBqnvBbhNyj3h2E6Vk0z0qnnbsMhDRNTBnY/rlp2O6pVIKBnGUBQeLA9OVJ zs7WN9yRu68EDcxUWnwJAH2in5zQiehpEs2XtN8Oqn2t9ub80Rg1BEFop2Rzo/4uZziveWB8EEKZ IvTKyErECvl6RS8mWYaVtDrNfl0FU80ZsLn0ikl7LGUkQ/TdbOW9/SVollrcjX9BOag5/u35uJr8 UnV8RAs01s7CBf7/UUnUROiylPPIMMK2DQZtFoa+R/WV0ieyuFBTSfA1MLzNbhNOfRqlT5gmChu/ Rgk0ukLvPpwko6T4FdT9FC/9frv2tfRP3zBIXvzippOdx6ELdFHQqYl93YsI6JH8xP4z1K+8+Xvk IadazYon6/VDpNamGRxTNo74A2E2fHI4CJVbtkLTh7AAyxyK4WH5qrfUU5w3Iuas6u1Oc2B+s4M1 unE4McxTF9lDLsDxvImFCrkGfcyfVxcvYf7SJ0pPAkqmk4lQf2aH7FTKW/kcS2VyGwQ3pMRa3bH9 GrWC/XgRsZK5mtVqPsMXBDXWYCOzFn/XEhdSSaXlUCkryP+/AMqBOZrh/gIESjdPofe7RkKA2quW a3fRVamGDtxWPPfZ1B382s+J66Gll/3lJmZgFuX9Vvpmiv5CRKca9GyTUWhp3q44TAUzV0o3GiZX qohFLBTeL8A82JN76wZWWylXL6OU8dq7haSUgHelVZieXboIhhSZH7tLlsOFFbeD5ZSQXIhWQJJk ccJvUlrkBmT2GnBrwk4mzGng2rvEmBW7kI5N+tr6GrMLlgOScDDCuScdLHhrtAxEfOK1Jcx2MeXi 6xvyH0FEReuOkDpXxBs2AdTg5HubbtY1gBApsVrWMJb/evniF8rFg3fvsWhkNHUA44/otPIdzuHY 4NqBbgpAm0nQEqId6c93m885KOpdZUxJZT/u8nkhKL4XcKp8zPk9isJdCD9k2vmZZTxraMaNOj98 UI5dpmHfuYJiSz8Pl2gS9CEo5nYGZmxHRxLnRcJGekM0XA6F4H2qRHRpNd0OVDcPIN7bY4QSZQP8 rRD23jXvqwvGVeGNEAp2mS6ffBhCNWDePoQ1SByFdx3JQ+tEKFHWhGK/p+MeJ4uBXSATXxSAO5xP PLOzKLUPLIK1TKzpHGQk+LRaF10qE89jqWXiveQu0H49eYy0syJ8qcnctXRYmJE7G+Mhc9Fvmuk2 8UqE5VGSMCJz34P2O26i26VuSy3FPaHNtFnh373e2lqmPKblLAq0FkoaBh3Qx4NXVQGJgq4JHiA9 WgC9c8/eyGDiYJILEukNVijVXwBBe2GALcZooipGA9Lj0Fus7FE588QEsKskjpFgqgMVyMuE6FZx 4nm4B4rAiVgElRBia8pafjcLPf4vcZDUOaJd/2wk6J8GeiOOf+8q9fWvcOeLr65KsjprONSVSeBd zaUnVVvwjF9H9RLVmQT+NM3SEmTjbq/B08efGNCYD2QN7tf1JhahJr8e0tXRfLZxU0m1w/G+6+4d grI5M+bOD8vFKzW5zUyNMeqISrVjcC8LAIvu2GJp49GJeGOYdGnqLfTONJKc3FbHDWCGWWmwHknK i21qd0U96Q3arWKyZAx+kdiQl90IxgNmevFO1/sDFRwcso66fNOUSkcohvcXyX73qVP8VfszAXLa zolXeOdXvsZDUHXZH1g8nemeKWfB987VwMfGNVcmA05hx7N5M4o101v1Yt8QBUYpviGI9Ijv+V6E OHH3XmHHVGTfXJjgPNzKC+T6U7vQRlk7fluNe/Wdrbr1goLqoGxngAAjNvgqLOVPGXHJBGXY6Xh/ 4mzqZ7S+pFRIyw7lAEUcsKx6mD0+sKUhDj5oM5RPnBMEifWPGcnbPnHdrX0YjFDODzvnHoyq1e2z we8E5qrpVFWX7rzb1aNxiqCIqjrKAC0QqBUUXtSdWD46yikyGvj+1idMDJJpXW8zotElCIZdURRR RnHeKC+J7fQcnYqMNDGRxs5YET1TVN2sJ9Gar0RFnNJIGhHTg+Jn0W+mLTmrRWjWZbcrX042U0kl L7lNgw/UwkhZEmQhGy8svWTZ84roidN7AzmLFBoVSRM+E/kdQVf8QS3HA9dHUm7KGtaNGk0OZZ6n UhoUV21TO8ymMGD9yqgGduQRPclvHwnImCgCpUJQBMoxWTHiMRxI6C0kGathKNPWnQvGkX2sSTBZ WU+4VE1zdV/NMkfBGBlpJoTavglmk3GLQsdx9RbW4t59Rd0JWy+AbI0Ge6dkxDgIBZgkeqkhwo43 bZ+ToV6AD3oGWAame222u8jRZkaOzrQwrzVc1g0z/Awi2dH/ozYJtrVTaiYthkrIHS1g/nbGqbxN eLYuYAVEX8jIlCTQZvgJRbmORie95RnTcN0Hpp7EmGu+UweVVJaXXrvG8DcpNvKfajlo3i7MsnVB ++wCN4hu3Z2qppSajCHyO/MbUXQXZtRpFuHIKKCbHVLWuHl11nucjsr4v4KWuJk2BU3qocdXKHZ8 xe6nwHnwTMDDjdv4++pcfK3MSzt8gtMcRfH7nplSa6HCTix9e+BcBxkz6whbdIG1Z0r0WeIpPqO6 7igNjdFE//x4vgJDQicGiBqLd7CArRf2cnqwB334hUFnSWEStX8Bn2G2/5n54tOo/Cf4I6zEqijv 66t+W9dHC3mUASw9nHLPgGcrdrDimr7Ani1NJE4Fs25NNreY3VE3JmCxGV5J1ZUH0a0+ddKp73WI TU0MKXOCdBa1/vL5Rx3w2Y12RBkwvU7xdjzS0LF9Sl7C25/8R29Qn/pSv5K0ohAd1yqTJeSAW7Fd p/OzQdWEPZdgs5mLDfJDXXanfNtqoCNn4F3NxHXf8VgNeyERy9Cxxdxc+Z09UrksqioS+mwUFBlC oCxD7qj8t0RUCy/aFg6P3RkJtKfwJYFKUi2zMpeclHQN20WGNQZknHZwq3HSh9WUZc+cIt0RBkXr XFXcoWxNo/UVwVpb/bCRtQAlFrCCNmI/FEIj37FOlyPNkpLA10LRpoaDme2/b0zgllNwI+bnHnL/ lq0cEY1kFNzYxPoKAuXo2nsZxlwLvRLSvD8/bpeiXjysk6mIVB4lKv07TNQXqqoi/cAimUjHEixi HX14Fth+f6jwWSBTRasOboI1yhYWQq2J0i7j2k0g6FGQwW51mN1AZsax6cyZmZq4xK7Z+KUQRjnj J8EzrjLWKMt7t0/bs+iXwBr7tTYRe1psI846Vd1hxXuJsL+YBjd7+bBmXcFeFfIVO6lB5/oBsYsG 91N8tD8e1sIl5WukO1OlsE/0H7zJA9OKsf6jZ0AG4Gn4oXfsiCQVYfrp5uONyzVIxXnStYszATQA ywVBMIoabDijPmCeM1aQXm+c3pNhsUOYlXvskk51AksgIGrCUlCFP3iu4Fffh5kGh6WbH/9IJuxs dJ47uGwWXM9zJGs7hzRqH05ylU1KCrIIJRcAZCg21fYUtvdVUO4SXNgSlbJ5/+V3CmqUM+GbPWQ2 /MZd2gYusAO9gxe9QsCcOtPY0BQwMU0iT89H0PbMh6m6m6KOb63LnwsCGy29rmBueGp8NU1s84py SFOSE1CUxWbgmxmv/8pCFhafmKaH/SPDTPGcbR37Da4TPmXllf1mW11oYDD6YG+DNWYmk9J9S3JL ZhGyZdD8kCzpm4cWrFc2F5zEW8FJMrCuo10KKCIUDjdMtl0elLES+zzBoxHpVUqSfl4TT9ozneJN y7y0DKFvjcxiHCb6swOSY8uOG9SwRru8zoC16pfX7ncnzWDi6H/qS1C136c8pydJG39QHNC5rwxk pV8IrzRQbDocGCkOnD5ZGhL7uYzPp/sy+fcqhMnlNAxR9KN3gbmH2qUIJtVdvAZC7moxRnUet2Y9 hQ+MxWX3SZ7v9hynzFOtucA5hXkmn856Xqh3R6RXY3RoVsPTUf4rTna7k98+u7qIWu4oSClypYgE Z8CxqfS1jQB3g+Mw1XdjZu/VG8G9bzFygQ/NL9wG+ovxZFfHRtM9S+WfsdxpVgayPqF+9khoSvt2 CeYRXnDvg8Pn5pVyP0ysVgDLkIEjga2416tFIZpVGvHgDNuXjPrxNWmcheiBLzxyWjG1kZyK/sn5 aGdVsa2BNMLnGDsJh/Fvowjj/XfFVpnEg/OIT9lioMmmwne8SX3gqa4uGYMMa6fHn+AGQXGiYsRn Uh6EzrZ657JYfks6od11arnToPKH+6GxR0yOphYqNXxQpLjMRrm1sSbnCyFJ6t8/LeuJVxXxjONy k3nDEXx7Md+3pWmlq/r3ROhkmogveRnkE1SM4pDOCIAcKe/Ats80wWOf5n3yTGDORGOmb8m998Oy fHs/eyt51XDfYHp+pWOhpcrGDBiJNa/xqsE0N2rNvExH9vleDpe6OWiQnBAdlrX38uCWuXko83xv +0sCu1mmZYdyvRZZDhsYECEAH46DIIrVCeJWteKptuhQJYVEiX05hAgiKM3KMoMlRLkz7XiItyoz Yjni0Ua4lbFoZRKUBPxt/J760dM6PFlnK1fwEbFDOZWaHVmLDTw9n7ywMpaPabIcYlY+iYORZyvJ NWYm3l8MvuDv3Bq1dXeXmVTo2I4Xo/AvqWPn70PH+ieYnCA9sf32gQ8KKgjmZv4MfUeMC4Rrca32 oGRju4lFrBZV3HhdXlrqRHMpOlmr7KUZqKVk7Q4eKFpjy3EkyTy65gd36dTN3LUGt3DRJTfCxvXT MEIdBjX9HMaYD7wn2o01+7LwxUrjeo53aUa4sN3U8G8CzBxQWMmFZqoT0fluRkf/6fY7mgp35hmZ ysykKP80a5ePGSfqCgVujh243NE+9uifc08GMlBFZElllLLviFkZ6xhxC7wpDF7SO/eR1ftT02P2 mQWevXYtGzf6SVh4I/zkdZA6bXkKKTWSdXuekl7h4nu7yNOMD55+fj2r7/VWI635S6zQWpjnezWl seAkIDoExi3n6Lqp/JhpFWuilbIimaKZ11v7zYs0lc59FXSaAf3y3VblU9m7qgVwm5/ooecJYEPl 2qRtt2/hC3qFyQTyo7TNtXyW3zxbCsm1p9jtPEcFU5fxmIrN/tPyI3cPKa9w82MoeU79Y9NrUSj4 bRmiUJ8HZOJKKhkgHnohbBLYlJJg9tOnbqGtVddOeMB4y6iWZfN68vqZ1WHkVs/5UNuynk5w5MF0 D0Jbrt7qAGIg29HtUGQ04r3c3nC+lyvrRAX+Uux6Dw16h9ZNAABHg1fXhUdiCk9FTGVEuVmCYbps xJqUn1Msl7lQkwEeGHEUucfZeDG5is4kSneANrCV4UctE3kFtg2IvMnZlen59rBHT8iFsgYCmKQR QNIHbl3cgW0IMdLckqynDtBiNTeb/DQpd7LGltLg9GAUbPE2cZpsgU4pe1weeWAaC0jjdyI5S6WG 8Vv0uJYGP8tqY2fF5fM8e/PeteiM1/NY7nQLh1JenD7Gn2JMtXWof58VqlXJTq2rhNgoe2DOszg3 OypjiiDgsyrT2g0bEbyISbMrnvvaXAdUbPkJKRVlyXr4CdoHD/aEfE/9ratxoDsq+9gZF0cdvOti 1cn2AHe2PxeyGAYSC8w+ijRWcV+PKUzIivs5FELmpyIaSaPpg4cUJ2A8XDF1wPGa0NesKTouKgH8 ay3/CWc3SWtQ+tOVn1H4mqnp9UH2WllkDcYevsmXu5yZasrsNuX6GMAReUiWoERHqXuggcGFvpW2 seI4NPJnXm2q8Hzul1HxVamrAbK8i8SK+Sj61H66Q/zLtisZpLsiPAZ6ju+9F6HbaUZPgYy9p11a YnYPxU3svtA1ScqkJPz/KlhGaaijION7ecoT6LDFd8pBcjoDqV0jwuhFoegGlZfKswe+h9x9we/4 ecSYvLq5OvxLZ9kG4YOW0V8+Q6hYTwhBC96YlMt9ZYis/IDLF2SaNfLdoujGmiJP4AB2Z0VNvlaH 6At5URSXJ3wrF3RtngzGWbDyX4tsC4Q7IqTkRDqetFpzlqQVtG+7mNf+Wyw5hoWpwix/qFA3LOxe BJ9wMaL7WVsILUVm4lJ/taLoWZglt8heqoZnLFX3hmGkYt9qQTtd+YtTJs7pDN64Z3dtKSQNQdi8 eB9HgN11n/NJAFmolBLYGntyumekO7ty8eyCyD2H5VQtr6ks69rnXmPhENXmtiC/E1F+ihYnhLUt n4M4Pr8gIoFoeOTw/Y29CV31VXdw4hIY+MYhLDlkRDSo22H3LGWg4j+vsYbB0ziayeJdgnyAfQEQ fFxAlTDndjX7bjUSEWelC0lW7XZJqUwK3UaSOx2HVC7gUwbyp5MnBLHvRTgkpzI9zwMHfPVJ8mMU iazr0wsKsRWOCs/y3nGckut1669bzWLIU9d2Q2yBSSmn9aad0zhe2zAANE9H+OnTxSpW9aTxhWPT GknTo2PPxGCwzLHIoyaSNiVDrmUr+lhwnsVfKBBtA1ZDO76tbQChN3u91925gvq1eSqYIi5ZzHeT 2BdFQ52uufnEEgXZIvyYUYGliKIJLAN7Vf0Xh11zalisrkVnbWfpHX0rzPX4toq0wZDrRuwWZvLj 0yv8r5XoOvH+oVpoCKybeQTSaCK0dfpjoENPaQCtNlyWMvAL4/bFo3U17J1V5SsCihXR9nb3QjB0 zKBK3AXgUpitWqKIQp/OkgfrNLUFJl2sa0E7izaI8EG+aBr89ELE8tAHT5FxR/4RDyOIdOnIpVr8 zBWzn7d1ZymrgXC6CHhMcOkSVEnOug9+lc36m35EDQOEsFty10Phk/e+ow++b0jPUT58VeUQIk/v lJbQkoNqxSJ0iD0WvB/uO1m1AuoZe0jo7rU+wi18ObZqv+6fQj1AQwVEDj8Zp/GoTZH0/KmvoBNQ 0aiYMPFnrhgm9tdNj2X3GifxoViItNwdZBxWPqWL7bsFe/SzR0LZflpWkEIrH/1AhByj8ufGax31 42mSr3UHw5uaCcaARTRbyGa3KJ27jZPrXtT71QDGkBytNe/Y3LBoI1/uwoVihZJ7GGlfotFg3dC5 ZFR05DIujeotTptNYxXrPVDu1H9yOE5U4in0r9wyE4PlrrAQ6lywk8S/LoUAqynfvQaN88z+QegY emtR8JsOzCb1UY7lccQ+NvHw6oAEgDvDM22WQrC/zKRAQ1S4y2E4TpimSpGQe1GMshrq1E3YdCUV rOv57HgMgOlwK4w/98EaLqUgu5mPgozXiTZngNToh98aWqzIIwpvAP4aQpHrTjNWkZFE0LstxOhX KHyYdgCp8YUjeJel1sX/RlZXLXfF1RPLeVmn1/dv75vL33E8+2LgwgQgbbIYQ1ic0rmX6D4adCHl wvVuX4ToMnGinMb3sz04pWQQVuFPE7u69hkGl6AAhRJTQpbT9Nd96yKfA9eLlW3ymtz5bE7iKlxV lvpRr7JMzsKGSneAJyqRqh+6l32aPhYs7LX8yqQ/mbkDZJFhzNbCNbztVtBrXFC5OCppAwklTThy 3E4dk5VEIjZZEQ81ViJqBInGlvOmtwm5CcneplddAK9aZWoN8XJJNd7WkXXFEmKtJ8HIupzzyd/K ZfM9AbDcFW7qlTyLWYNMyejYPk1Z1+QJnL9zM6JyMEfpJtm6FrbLmk2KpUvJpj3cfuDeR8X+nLkP iYaT3zD2wUEFqUSYnhFBCML0vM8eEf6xFemRORgiPIPGDHsCKzplzd0jeHzsBzrkz3Md+0nobFyf 9y0ij4zcxbV+OMKO71QcnF/qGpS/JRMP1aOam/fIBUBX8F88n7+kqebR/v4pvq18gGQHmJLimFQT y5V1ql6M6wP45ECgeOoBtmftPQG4+38nqdV8qBlI8RH/HuQYX5wq5X+dkwdu1T6LxuMDuslR1Zof rNMZcdOGepGl7gEuF9bmO/wL8d5T2Ro2LUux+DZwm+c136xj4PkY3i7UH+e68QUfw462kCi9KVHn UeyURU+junswXQbzkXD65n5lRhQ0o23Kf7nfQ3qcsGujWBF+EC52WrL2wwUA3ZUq0xPJrZ0bGlTD LEiiuE/sTsWVMnTshQfBZ8gQ1nsRDFfdrEm7sjzBiPZb6kKLaDNHLEWX2I63bwMq9EeiyAoUQIfq Rnixl3GKi4+NY1mjTCzzgjIgzO0W1PwGAHPJmLOsr91soO9h8rkFO7Q7IyrIKmNHpWAgP9NlqrHw ojR19F+SqTRlme3xolNCFn98okgeHrmqGLmPzNE76P0MrTGillAornmQI0TEMbyYyljptVIBOFDO LZpd323Sdw2SzlODUOP4wvF7U1gNRL4NYtA5KGYq0+LZGy2R0Fq03UmqXzgBQcYXHkkh5/c+Fkuc jGg11nwLEQlaDDX1I5deIDKGS7R4DD2PtJ1wx6DYRO5t8ZoXcfbKQ1gUG4CZXzTAKCEy0ctqChkE lgabiWFJqt8Jl8r1wt6jPj0tajNKXzBkzTf66Wz5a9cX/CVdCec9v/DBt4k6j42cNX8Xg7SvzOrs HsM2dk92OOZwFSs9kIzdOj+EoQdKDrybfrhlndIgSWuKj2P2d62qpFgiT6iUxujrq0HkyDEGtAtt liyJ1xCcGwdjR7I16VhvXgGo54gltlqC2q+RJBeEW5Y4EeEFetxScrcIrn1p5g3nVHx56Fe+9/rP nnGeYVekwc4Bkl4j6XTERfFQTh64EJDdxwEYT61xHbubX4VUbqLtasvee9RqNBI+PjIq97M2W7BR 0RLd0zMy+G1KP3a8MGOUlCy0ekKZOitMi2pK0CXy9XG+xFom1qx7wmP42qOJmt1+x+tKynRSspKD Rrv8nDFKriwowKpLa9p94cozKqPm48PpqEVkV7Hv+PtSCBL//dr2qKzSyo/lAqFF2dS9h8y7OmL1 0nu5p6bc7B2TUAdXcxWai1KcVWu9kchOMRSDO2IaMlkam2alpkSr3E9TfECyTDYjNyppF4GEcsdK m8A9l0GDP4HS7fibiZQKkq1IGidk1JMEebHKH9eLNTXRc15rT4zHVKEoi9E1uHdotVqEdevOu3k1 9ViqNVm6gAjohrVq7s1jz9x65h/oR9Xf/t6dGc42tYwyA+U5hYBgDn4LWTZC6Wbi4m6qcqk8ZWqP ivu2NKYkADKCRqf4mpmRwEZeZnM8P4wbK7VYdgp8ivM91ggF+N/ECsxLJqApp0vewB2FRzd4fWFg WhIab5cGeUEblZy9GNHLQYPH01pRpyUsUZBWtMA7XRZUYI5Bc88nMi2lu2rkplX+PO1y5yi4/PPh +3gdNSnM/X78M2T9AvN0x721RPuO1UojvqVwOL/MsFBdDLmGSE9+nFHl58S+fHNL0uI3cGzkey2W km49JG/SWh8RmT/vkFuECdP/mgy9/cLGW8CJBEcgvzzDqBT/Y5SDXtuiKLZ20p3htoQG18td8r+X XuAQdUmXNAuucNMOYLhUqqA2L3d2kuMHPETMTcLzKiu3YqCDs0hTbmXdu+mxkhSxWrqs0pp8/vh8 etb2UHiNb9O7jBeUO2XikAOmhzxvWTDenxKBN+QWEg9Ot5T8y+2izubaNByxkLCiyhbDkz0b5NBx BIzWw5AR0fRvwcpYszbYLlYMEM8cc50ozHmGFXgqQVL3fRhhAiPywPqM/AO2wZWOGk0vCvLI4hEP o7GHJFi+dWhNZ/FtZHuDE+I2strxMIskYFVOLit6NbbUj3qiGoXrKn4Z/k3neAYDzt6gk0jEm7zC Vd5c42gIInAszhDIIgVA69NNY4/PS7KZab5GLqn0N6ckjjnUk8I7zRDhEF+CgsO+oaEQ2wxauQFF W7fDjfO6RTlcJMJy5IRqkE3EXfgC+NVyp19MD2Rd+0RnRGTBsYXc8qSGN/osQS++Jq3q0VZHxts8 sHj8GDvJw2hIow85S5eG4qjqYK3dWwg25CAkxRcS9Y0nIfMXXRrCakfYCJqdhvPEC3AsgWg1MFxC fnQ9EH70J3ZBi2V24hmmwTLCV8unFXwvixf99VB0cgH33zzsM/fPSkhf7rHXrXDz++neBp4avKyY K0xxc93nGaxF8qKf0UeF7byoNTGHuLRFsZaqGWEupF0JCL9a3PCAuRZXGaC0DKqO6DAMjg3KIDSC ZwhJ2JfTHJaKyqeOsWlUze/xZ3TCLXxnV94PKfFJ89cH9gt0NkEk8Eq5tAcktMkqbZxOrV9t5I9F XcKrXj8UzhZx3EVtZ7OhI7ZKJZrqALywY37d8mh0yCqcQS0fwKltA3clKTsaOpqQOVKF47zcryi2 w3tAs20N0wsyZ6+PkNSgNv06yNgnnkyG7b/z350CqCIn51Qli2M66sw7xFaCNeNt6e7sRVbVZvpL dtf8GqiDn027ALsy2x9V1qlBBYZl8AC1ZVB19Cm7zndUQj1wWLDi66s9E7RgHANR5axxqFEFjKbQ B0NFRDcP34/2ECclbIFV9LZet524LqTZzS+dgiyi4jjt1Qy9jneQyhfEuM0n8NG3WVbY2vkwfXoF sZQF6zwP/fRFdgeztktRvP9rhUpFYz8SHrXWzjVTYVYrWLSlp4yxyx+smYjhqyLGLwXujo8NmdMh xiT2p151Ehm2xLphrWv/C1o9jveSShs3wkmFJ4deh4BZ1StQUZ3d7ijA4ndXUKO8UCozWCTQvmwm GjOC/edw/RnRE1fJed4rEdcEb1wV5t1n3uZTU+RVAPnnUQpzf+JeyCRzTI9ljiEdpjIS6GYjV/+p LBa/uad4L4VPDKrIrS3Q4SwdEkr3RXmZrpOj6RLYI8pZT72GkxUL8TQesgpN6Ige9usV2rPW5Tec 58kv7rptEq1mUJwT7kh7uHw5ATS3znilysqyuRn5BOCR5Ck8ZeZvRqtg9ueitBxORzoFAEEbbvXR UYZrz6A7h6Y5HsfOWy/qexTEHV9PpZaslPosyhIIcqwfbRLbG+F0ifCSJ6ijR1Rx6f0EZ14PV2Ye DpMXA1VbnGpC682vGLwFGUg2mauXQzsKXE9Muw/wrfEtfvN9j5rzsgxnlxJiBnHzEEec1or6NxcQ RIhDwZlZD8u9utR32C4xq835hy/Lkr4r6nUzi9XEGEe18lPZMR+xblVnsqlETuzajnzxHgHhJpL/ Op/9EDD0DD2XFxCOn6jYd5P8H+lyLnYPEU1p3kgHIjCUAqCS+WDW9CK/sPqM63b1FAljCSJC40Bk l+E0sUKwLA+CYVpmnPYHxnZNe8afDLXGF+Qy9LZYz0pkP4f6i5oO4RoyYmHbRllrjrZ54MpR+NOl zY0jVkyhcEWvjU3K+ncGrfToQM40GntLc667dXdJhFcp6tZldObrHVcwNaSg75fg4X1a53Frvn8Z pVTMEU3pqypL5eDoqGZXvkmH9wAc65Xm8LziOeXzgEY+ksI8frQ5fGLTqCSe8MD7zUcBmz2EowYv uyK4BT43ylvU+6NUpFfO/3hkkphYz2/e3o0YcEb7ob6vWAlDh18NAvmNdzXALNzgWKLEcL8wWpsq M65Uik6zlrF3Ii+AU7DLdFgyYxz2aotgH8sM3V+KRTLlWwtOBpJWGFD4bwyXQTwhtG1wzlVVevTc 1Qjz31UH2vzyUJnN9pov1z73xm3sDMMI404hbc2+9guSZ3AupnZYGU9DjfD0/PZEmx7lkWTeVMYH gnfmf+FIf8RtAXyPT0URMiRcK/5XrDRSQ+E4x4BOH2n1bfD4LBW6OX4FdtF5mh95s9JwlYYykt3j 7EXfwA7mThPg/Xt+FtIjNkMJB3ERig7vaahF220LSCZU3mskXjGQt+4C2XE57eyt8ThB2BMJtiue vU0Wog0tzE+84OmZLI5wgiqkNd6J1Tjt15xa7l8lQDPVxcZM9wtVI7LlHUrsTpmf9b5hXPQIpArq YQ7+u88C8IV1Qfjbcmx6z/v+wNx9J0ra2iVO0LiL1rWTc6ilZmUabZs7r2cOi387GmSvA3tXUNSt 14Fo0nui2qgWqPEZYv4PxhFgyuzkMANVgFeTnZKr4Kw6zSoLYJuQLzt1PE72OxRKZpsGiutF3/FN YLtkxI+mjnAbSwaLArPxK5Cn7txqz68HizNLIwzgf2FIZ9iuuh03KUIeA325FtyOBAADRLrXtLhw USV3gqsAFz9p25mKZsDqxi4HnUvXAYAKHl1HAGYawXp8nqUCltxQrHmMRm0vDEQyc8dlkMf7lPQI CZUFgRZuNVz6+s6Pko+NPTPUSpdQhvBNltDJUsoE3zB8bUzjxDS80x5mSUMRlSCVi+AtOSfY3bFp eMpd+x+zfnGgm5CG4hU8UHsEiL/yPb00ujeCqPgVXUxsIWsUn1k/+2K+kzZ3kUF1/amlV3szlXun wJoudX7jJtpqKWnPLJsT2JtMiKuJo49hvkGLNgUUNxhiaaEbkedVraSBgiq0+0/JZ0IICx4dXx2r 6kBYPcSgca69x6V1/ePfQ/5oWsUL5npIFvAqrag3Ch2IvTuzcGkJUYyOjCJjeYw4pK3CRKbscT8a 1vAGpc5TyhThCtyb7mnUr67TztkJyrVkEP5ta+nr67dUa/1sxgfacCBQBa8eHjVqZT37zAE1NbYB fUaKX1LLfDqrZM2OEfJloB/BMYfPOZDM2DT8xvIOr1Whq0eZezpiKFsBug9CD/7MWPRVwAPY8a/h XiP3xqnlr42t7bTdVKIqbuQBBwI3CjwESRP5U6+XjB+l9ay/RwXeYht6PNFRTU085QXuaVmvq7ik 46YawPcSgRn4W8YvTEBhcmbuXcEStiN+f/oaPYBzK1J00eRgcj4Atl+0m+hyNZCNExUC1iDcHiJH XZwB7QPHRDIuRHX4J/UZKhqsfsLz53OS5WbNgHVw8zShhGbud/fxgb0fhuZlLyC61kye61yYAued Gwi0IX8sEh7aU90mxX4njLe1Sdmu50uM4JzIrBybOeReth4hvhgaCkRiBMHQ5ja81ciEYAm0ohZt tNNiXApaMpNUAmPFhYh0lYqwkCuliGqsCh4dodZevh4Tyd569pGrEnPvZM0LWy9cugNJt38dbvFR MxObxb+CamfD1GcOKQlfeU0uX7g9WFoL5hDcJwlXIZlWplKZ8Gb91JE5KTfAM5qpAXlSKo0FqSBZ 5o33uyT2C4BMZH7vYOK5cRfQ2xoHQM6bs6T6t6MdlLSyPsxf4rGHz8vb2g3fpTV5ZUSSy7vqE61j idB+dXIDMUy7X//o0XK7if7s+y9e7AEGr9s6at5Ifeh4rTGdjlh05BZg6vSj3IYmHNE+ZR0M953Q bctzqjOH1qDH8/esLlu5G8Wln4LlCKjXFYGcNsGUS9TxSIld4MugiDnkMwE4sPByF0T6adfeKH9i e8zA/GqYBCvEiaCVEd7K+DT2Y0LHpv5EsapzKQm3UmgbR4tJAe+9shYwYguy+Mc0MnauS6l3ARDj xei6/F58vUzCu7IrNQj+/UB1B5oiBOFxYwvEp0ZxYV6Hf9Ad9b9DKkf8GNweI9J599zC8gHG0YMa oiR3NgtK9KH8nUMwWpr6/5JwMns1YoOJWbWkTh3pr2/0qHbVqywHmdDMo3Z7CrcWYO7btD0UDFDM gx7ZGOx3SDNLp3/xi2en6kJymNyS7YnDj0gdZ7+ibxGY3BOlwIPe+xhY83K/ESFFLprlezV+VuSB rCJ/mR01FjmK97PzQzzVpKO4iKo3TKIUGbM82X40cc6NDKrVHETlQvz2oT4CSLETevXR6LNGZ4E5 Crz7qb56ejK0sArUzgKSnqiESdsdotd0DyWI2G07oFiVuhhUec5MYWQWY0mITQbsijZ1la5oHyl9 MW/TYUmmVvZzjAlNfC4Vqm8X/KozMlu9LXezibWBF1m7dkSlC2ziHDRf30m2Bd5OWd2Lya1eY3Ng 7SQ+7wl/6SAz6iJ6LEzEUrDYeeW3b1VuSAjrNICUbYsHRv3DqHzEV5/gr05cMHFqNV6z7ynt7P+4 TgR0Mfjgi0x85JgBA0T9NLtDdssgZuRuELtIYNOmVLqo8p6XxJTinmi2Pn62GQBlTMzxMukoZnEb nXvZtUHmZ1Vbs07eaPVozDVOp6i1cW4xyu1KWm/y9mVixLrj+2o8CpnvLPurmFtEny2ogVk2mBlW edmD6XRfXahyEaUaPEfiNpK1Z//neV2CFlk6tzxfsSzBzi7Yn8DrrGV1ngrlLvbm/kSY5yUWLEw8 jK+IcNbfqijKiTg3DOdT9wIKxxQp+LgSKCoqtmh8qAZZsGwkWuoySht2kG6+t/JKI4bJIpXyiDj0 6TZ7ewg+2RnzgNrGJ67tdoBB/i5pGrO8w3CAXMP77frerh2I6Vc9+xmRnHnW25JHxAmy1S4rG2mu w/pC40ShNSLX8nbwEYqp0Izg5IE5+hnxipwW4Ercmzxb+ixMjU8lzbH9VgosoPRqgDqDrNgRwNsN mCN347ijobGw+W4vogmQ0Dp3q7+pyf99cnA4YOaFrILfHs6XMZ1SPt0nJe2pSvybBqMnlTf5fMqu whcSAHnC8s0Cq53TxA6Lg3SYKQ7EdGlz8ml2cl6oJq3V0tiD6qGgRhNPAttgOMx2XDFOZcRZUEal snnQOKxULobwMo12bd+ldigNCMCJeGwClGeZhUBeqxS7nmLho8KD1DhTqB7b7nxOSq36O14wqSyF Kb80ZcOoNGH/rVIIrmetogmmKnCWdHq06z9ANZVVBRDEGZ5kdHPrxL0HswiN03xR1NYJDzyyMjSo iTh5WgkfWejs1StWqdNu7N5K1wsSrlPdD0bZlifONIUpm5QnGOvv8hdULjulTapbozVdvtYfUYdW pIgDL3D/9TgDIPCcWraGT08dXn1TE4Po9nVGIJfo/Rkr+DfRvzquujc0sYyJKwoMkTgA2vkadyCE Ghs1VkM+S2FSKFJGL5B9ne9DNHmYpdKrtDUI4cMCmn6iRySOV4t7bXcgrvRqloe8WEKhbGvJdxjb Km20XsxK1TkLkARs7MW6uZTWl7q75ic7iTocUJDs72ePA9KZ2JQjVupx0kMCWTiRQMocUk/s2sh8 OzpOytIHHNEDdiywHXHYRl9ExvRiWPwaibYruB4gf4NYHYQ5t3Ti6KCUYI5c0KwXLIwXBfjRuJjk IXVyt39HpxeRC/s6tBYOh89Xsu4Blykg7ofSCIn6cXxvcdyI+ROM7A/3JFbYzL0hhrcsFKQP4eC9 PH9mQSeGxva1sCQNkfK70cv+WUKufsmT/2YR9wp782N1KuhRFmIpn+0WJzs9HsHwv5D4zZAVD9oo Nblr31Anoo5bCzxjGXsyX28PFLoXtpI7krUcB0hL6xBf1mObxzU1twzIUi8tlVm+P/CMrM9s8ZO8 0Fi3zccvRmnJIozWljtIsckin9qXtGnEU1uKE8jp9zoHgq6YQqZfShM7QIDaY9iSIfSEGCgLOsJ6 hBHj5l9jFGkTbDCFgPlkT07ufK7bJdu7/Wrw9TR/0QQMgT1qziy2Vx+85mclTUYVgo4aBnPkzVuk rJlWF8kzLVGz+YDiPfka+BKqFevLkbACKBACXFdOXOfTNOMFUw3gEfXXSVy5MeJAnjLAmbG8xj2f D2zw9kyNFST5nreKDhdUi1F3dNnwiqFldOebKPyy3x9ItnLZbkRutopgAwXAA5qCYeOauYcL2L/8 +TPnmShZZcLsx67/8ByaKl3Jzl6JPwKvZYJ4FVAVePU/qfM7jPqSqF90B6eJ3XViAGuCU/vdpxzv H7+MyirsaxmR50hPmFd1zy5epPIlWFnzYgkWU915HSp6ionBugGlBMMgiM1PC3zdmSrcqo6D9g5r T5T93SHResEb/Lhl1q5DEjAvidDq6KZcli8S0xyxZCcs71pIPCXX9K0qSXaxTkfsjaFT81vFgd0U IRX0zNu5vlSXNgsqiZ+CcjhCT7K1Kruj8iF64eRJ22rnB5MXpsmpbakEUw3KxnlHD5zPdOdNEWFF ldraXi9VhPN/8584pzaKrpcFWYxx2cg5dV5v1gEFiBv/5MqL3GYEqJRdWn6W669NOyFwtGHL2xau Z1SRScVHGppQpLcEB58tFaL8QCoy6P94bR/c5dpngFxpqM1nngn0cREhFdP7gr1gL2XBkUFGzPUp sXJq2TDMw0qhxjgKxYD/CMWaZDbEQUnLKHyYWGxu8J+hWPVz2JTkxIncfqoV+2vlFUrg0OjNZ7xY zYYpLv0Wn+4krKqPM3DSoCOt5CFMfQvemwXCCFEzKHYhwfo5YZtTUxTOGAFhyF+sgcXuSjvNvN9y eqhr6zDivSWl8nEqb8oluRT9Mq6YFxbtIm+sHrV9KZsyMkztQOrM/DWtE1IvipAqeHzJV88djASq xlD6Inkde8fXgdXUmmswx5cyh8fKbO/YhsWWIZqPlIT/ae0nBd0QBWbjpGad0xr4nvcRlGfFKihp d5hbabMoCylZFuQnO7GazvzeX9fVUfpMgSf4rbDZBwxBKqnPY8S5EFLkf3rieeBKC+LctJxC9+2Z mmL9KEKXkv174GmqyrrNfjMsyTiTmYqxT47fiJMyHL3iuawelb3pCjDTIGVuMTfiGXyAilQUmrIH M8+d4S3pYLfmL/PEVQQdkDPI/gtuUetCd96QWBb1RQgV9e5bzZTy9YIh4ugw7AwebKKPLy8sfmvo jAe7ic4LQ5ZylzLa4OYF8qDmUfBjCg9Xf93KFio/vuG2z0n32r14v4wZmnifHxP4ohGuPAChSVCL MDBLWCnU3SAHo8p1J4EKZFGjw4dbSko5sib//tLFosgJsXwdNgfXm/XqjvlZ9/uCsEONHreqX1+v 7ibKfsTqWP9DQzIiuNvAAlk3rQmZO03J/cCs/cvGYdq5k4FgFcre915WWKc3JCuwuJK7Li3TFsTi ok3FPc9f4rxZHQjOoUO4LtN9lXfMOftb1u73YOEaHuXz9/qVIkBzwjIO5Fg3vbVphL0BxH/X//wR tbtgBSyQPd0GrLlFuFpFwhU+fC17jiN8VosD2VlFTPifEB/BmE9zF2KaBKEpfzk22Q73MGz4re4B Xzd3ZTj3HicHMfRM8JyAi55W+aj2jkIj2YLAEGSGRj6F/J2IJOW+mrMNSBaASebhArCyG558GeUe D8Lfr862NtQl87dbUu6FuZUY09TcTsYKezm6m9ohE2jn/xoeRPrB/15ui1LsBfSWTCE9p8+9YRi+ cvlNzjcq+u1yo9yRAj0D+q6BkgaexKXiJtxNmytxi+O+uMOt12ytzofQM/th3RF6S+2Jfucun4cA it2uXXdi2EB9HadXzz+xix5MivSFbjzcFGq2T1frswhhFLOW7WTmbHdKJoDYlIzHs9vxILPurYR4 iES3H/Py2QJE/07ZErMxTpXnlSy2JQpMfA8d+3vR9rnOEqbQnxNT0JF6O8FN2cDViZR9Ize0NHzi TNQhqa82NpVv9snZNM9Z+ka8a9sQYZmTSzJr9ApIdoxUkOhYOBesSZ2XL8OV47ACdqo+2FKC72Wd Xp4vwMx1Tx8kiQIbdHkrMQ5WeKow8+qZo6CFX/Aly6zlw/aP7hwEOngZT2cLgyVc2Rj4bNzZfDdX sY7upzKc1U3YAyXUaWLSdWGNuc1WeqmS6edxYeYdhkIi3w5XOqEl/HMUsPQ7RyRvMZebqhq2Fa1Y Lhbkr0y2Jp5GpcrLC7CS+HKN+DDXMe8+YOJkw1qt2m8X01glgcg3Z4fKIi569d3vTDDk9Ts/ljAX yQuw0XLcKOFMdXffMI7qw9gWMhH1H30hyRWvY4gZNQN2Cy4EfMqd82sghgkL7Yxx5FAszizanOXs s4AlpXoPJ1Rq7KI5Uew55NzwrY++MAHu5+ajoBEcsFHXX7O8eCvhjKIKs2totfM4tzYcUob8+O8K MrpFKKEvNlAepN4Sb2IG0c27MHManv6V9mImB6iJ0c9gfb7+08E0CTyUTrpu67mA1DLrqF+DQBob JAN3zoN282XDXZcx/DFghJyBgopMUyU5T2rS6IxWtGOuPSd77xVlmkv5iX07PExeCUOYZr9gh+wi fzu4VF9nJQ8pLg/MwVXUdmtVx1RXA43ezj4zHXCsyj8i1qa2LoL13EgdFVKtzUJx7fBL7+ZLnVTO 99x1736Q0yWu52+D9eAtRoVNTJssb2Yy/Yjxp2T1aGAiW6NCOtGef84O3Sq6jmyPRTlPr6HAv/Sp cUnAaTBet0mg7PnCtYtenuGLizAYRj6AASK+cE9vVk9dfIt+CrOo5DSeqo1MLsO/Z2fYtr8im49m EeA5+mRPXoRogku2wr96f6+9MKeCWy54ZRE/U8hvEXv6QN71dLDbfUuopvLX1IBBkk9PTw4tHPhD CPgl0iclV60eM8gW9cl904CMkvjXZ+0aal7soHhKcNB2E17gPDOI3ofNjHA7nmGXukWYY47AbdPu 5JKO2YciIaF+dGBmuxAWcKqMrSKLD7p70gbRWPCzPtfzj/hxw/cLh+Dbp9CVhdOYjIFKAJq/pzr0 92uz5YAmTSIEhIdq6Nql3E13GnHKpLoOReGAoVYkMgLsBouUZmOpZgtLb4xSm712ValY34cRoAd4 CLjJGvwKoRKFpM+DjHJJwb4/rpUZLphxrITp2J4FWaeGIPMeKi6P8gJESTsZcafkbZMeCAzOch3/ 6nr+BQAMHSILUU7XIZ1V84C1Vikr+kUIO4TC3Ng9XkrdlzVzwpogrQ4Y1nCaTmFWB2zKdVTGzBH8 8VgFh85JC5GLU7U23noedJjDTgYDz3oEY7K7xlRYDg1xU1R6dTJAhYbY2O5SEJrYVfX3KdytX6cw rrbGX+8aF/db+5YtpY/2xl9Rb9XUv2edXvgE9kqb2mBF7Vi3P4DIwqyxE4Rv4Ivahad3Wh9ocK9P 1jz/BVgVC4CXXisSXj5gkgXLL8Z9eJIKQEBIcJsNui8XxwgK2VXoeo4O5PZwFFto8lmKgYYLrBRW 4X67xNep1PL7RJEDmM1eoaWABwzU+KLHAKKNMeXXAcIx7CPy4ZMT60oaCyW8arDfjmbtOzZjFUjd 9kWLdUpA/jpu2xaQzAVJskk7I6mcq92D87D7szgMDOPSgfY85w4ciMbUJ07DRqrVAb5nqI8qoM/W kLCXtozI4ykqiAJetKJ6NupMhIXpsrIMBOM9qKDSlsuYtSAP8cAp6NbsAtGwZGKryqGy1f89H13a 5Aw2FRzPKrGTRscyjOMYrJxUp9VYLjmVk9d95GNaC3yAVAWu+or+yvYYBpNllxhsuXPQpiQmWC0h VMccXwfrrXU+8ftCWIfQ8rWy/ZFnQhlOzK7rkXFHn+lFJ2R5QdY2gm+hUCm4uusv+qgdsLKOgkcJ cTkiDfW410rj54PAM4Q6WlNrUuoNKh4FWXo1PBYyxY9oNAXtMyScHnFdXLtSGjGl2dgw8o/1fsWq VtIgjb1YTkQEa0XyCQiWYZl4c3RtoBzUdGIbzvqktSkk6JRwjqlxg+kLi2AaAGfA964mbuOU4l1N PmrFcBwO2myNCUir60EBgZhMQHyLAPIFmsRpbfZqXf0N+hnR8OBQgOUFZvLWfTpZBhBagzp5eqnv tY6nvXNehJktp5zaHPXJZrTepMv8smoZv80oN1IGgw5nxWxSHzMyoxMFLjoUCl4CprO4eyc9CUGV INpk5SZtYMC0TCCW+im3OH0PaxBNiKcmcUpkucU5dDQmaKH3kKJNmSNX/CqaIX0ENt+PMt92Y+LB NXFwkpSrnUH+s+zJ/eCYf/kmFi4HfNgoVamKnkmzUHeeneWMTHEyadCTAKDwMFWKjzVhf8VJFHXZ A1ApxJylE+TW7KBm+hAuBx2KQGgbIHrBBhwn2gzDsD8bZx/rPljNZCQAUIV1ZRqjYXojXZ8hsS+M n1+456T334jORhHVePZjw8GlqPiIS0n6HYKN75rHy5xSMhgJkI81e4/GILLmsmAKSTpjhXCRoKvJ q8BjLsNKViAwH4AwlCjFTsOaHqE0DJz9DPGP4zpfSHyJ1OWIviQyRJ+RbzpaHsL5uJ4Bf8cArMDH A7K7FUv0ZUykv7dvmLzpZIIs41b1LCW51t2t+o7PMSi9uxO+0woHPYElM1iIYagAbPUQOmEKkQGx +OSfpXTAU4Wk6NamZcfojMiP26Oamd2Hoodbev36qkmUf8tt3Szdbl+bk2GEILlqyobgHWRPJUy2 La5dikblp6yE0bOLfifNqd+0MdTXKrw2cT1sjTCE5SPz87so09j85/odLXBp3MenNRXZFqMbEARy Spa88fSX3j8bvbmZGiqMOJRF/hZ7KJXVxZbMavPYI5SRzK006P+7KkymG5XlCcGXPmN6PX8ZMyfZ oHRDXilEFdBhNwI4awPCSD0usI1Vy45KH9iL9vNPUGAVmWA31X/ElBXM6QzjAta70ePM+M4tm0YW zfahuILQ+ayjGKaIWBQf0QgOczO4kOwJCkVC83wvAHPMYECopTwb+Rb+M0cbqby8+V322IN7QN7B wmIUvP2EbIy84fel1DIfuRKjk9Io6cb8B0/U/yZ6VLNH9DFfd057o5lC8YGKbHk/oWuwWs4SMdVf 2bJdLMsInpnkcxBkbkKJwOguYFHRN6/5QZQaI2eD5nGWBUFqtWwc1eW9JCBjtyGs0vS9Hlks04q3 VaXiNhdiKgU4Pp4h/aTkhiyVfsrQiYxkLyZNFnerV2dXTWLvrPsVAQeIpBuBb3M/76u9kkIQwptM 9rmarR0isx0eKDoYaYxzJnrFQ4bFLez3UT3MyUN9zLoIOmfyrWYQs4QDt313dnbD3pkENpVlzYtT yLyqpKpbFoeM27IqtY5IZMS2jD7vTiPVl9dJVHCFpUHeyim/C69SAVl07azDVN2wLbRvANGsLiLW 2aai0xnTMKzbjGRTyn/qZD168ZNbzTDRclPLySfCU/heZ746dJE/gB+y6Ixvm6ydKNY8X5XdOwPV G4lmDfwrMSmGXW1HfJ29srKHrtYed70irtbnO2Ex6uJuriJy6tzx7VPOvTSl5SdCl3msTtvDnN+H eqZkmvcp3IbF/lY13Z8C2upQwqFefQzq78RANUahTLyBCuOTbTAmukbeEWBzPqs/MbjgddA1HH3l u2+pVGel3qtaqfPNxwMi6HH+cOBXzVomYbAgG2toospAtvw/JaKG55j/uVDA+0UUmSndCw97cCTm 1N25qFaBF7kwRewMWLbzCufPnB5l190SOHn0xwfOn9JJOjGX493kTPcbHPS0AyDECfrTKVDkyVhr A2YcfEizuiSzv3kJ6TXc4/04FvfMEpNtMncXq9asdypnLRNCP0UWAj7zIBmaklDBinm83B96CQ7r V+1YrLUYK37T2lgJZpt479qXgX+e8GsfrdArF7/s/xUky5wLRap491bMpoPg+eC3Kc9Cni0gAn+i TzMZA1aNZMsrPy/VUaLg16WBHGR5iGsITmtHHKSZF6CclwY2dGtqqM7ynl9YrF/OaaaOd6+UgMoc O47QdbqPiddVfnVnXCTpFnXlFVqLgHQi5NnOanE7na+LAKAT/rJ2x4WwxnzrVk1lmdeOemdCp7Ty YmuCLtuySwzMAq0TuLJMv5pBbj/JEhMDlbAjy8LM5/Webb3HfixrG7ILgGSlZ83rV04jsEgDA4Md AZNdiOhFyQ9uH0qenGNNSm/VfEe+wPA6K6Hq8rWpLdTMQe424+h3Skajbv1SbgGKDFThZMj7Zgu5 xxRje8ypnOd6PNpsiIm+8tYjPVkT9+4zkLLgmyU7hdLPBIMJ0StWIVlb3kUW2yXo3+b4uhX/zgyq wDm2B9RWDWmDg4gHzS9h97QRdzOUp4TLe2WZt+/2gnBFtZntpGEOJdqpHt+gNyV5D58oggeM4T4e 9m6kPvUTvF0QbdJGzPXv+wtSgjOV52NtRQRKt54ykJxTjJbPB7EX2CzPf3vMd4XoGWXV/CCim/5y +AXoUXPGQm+4z5tBam9ZpJwPhUV8P6T0SfPb7fIDdl2+hLxHeR7TRGQAwFyLoN9CERT83Zdar8pc FtrObbHiQ3CXG25LXUnoDVhvo7Q3R/JIemrlLReTxBcYRSKKb1ah4sBUM94KaoVO3tp4JwFCHNU0 HPkmYm+EbNYngw9Mc2SqlPlHc0A8gvx9DhA6mhykHYQ+xSShbfxAxKXN4sJVb78DtgfmDtz9s2qc ILoNEDjdYX8M1qQKzgwB74XpGXkVyTBTEu81yfgc+aIAF8H+pXfQR074ED65BtVpmuCmLPxfwomN 7f0i+TIEjfcXPG64ai3ExjgMo5VZ8k5uOCo2nRTpscm3mwmNbGiS9974F1lpshhErM6+8IlLq7V8 hmCrRJpDh0ysfQhAlfpf5WdsDuKywVWkc64L2NsZHKDwq3FeDnZnJdL1l/E/QZ2zZPI7nk8jOhgq 9oqtym/iJOR/4GVm1/JIIWAfTJsKboaNtRpwseerKyfejsL6dclXmHX4m0ohcw0tvbJui7QsgbHe WAtl1RGujJBlGGC25QEpo6J9kBB0OTFyBc5PwjBBlKwG/IxnOIedE4x2rbGdnNhQNwJRq5hmxAnz 0T6I+oxzIwWr6O6jwevfat6fugSWph/AkUAssJ3476hoHYUWdMQL1mrTgpj0oQxEBBvb28XM/KWr hsne/53SEa58FX5soxQR1qa/PNfHGZLvXcwB+/l5bVwlN2AKNc5Ntg6cEr2bk9EI2IXaW0tH3ilc FErpVCZrDts4DIvieKBlMXEvukBVhH+7LtBqxFr/sDtDky3Z2qD4Ib/l3O4UBo+waptCDhU0pb5N gt1IP7u/L4ba43aC06dk3UmrFYqKjuHx7zuPupSK/dveVygZ3u7sMUQLZjftMcQYJpm2Ww7XTCtK y+0Ff8ZJtgSxpDzoVsbw8FcpZoOfkNOq/lu231zGtxWzBmNuBXb2dWdN/UQ5R3Vf3x/lpZOhoHnm tnTmtX2HsewB7EPiue2p7+D0sQzfVP6ggoZckjN7vZpHS2BajMXK/hvNGFTuWdKoZDVTy6+Bn0GU I9FAUDk3ulgiWYuErVL6lcBiPO0MIKqNotrnPXrKpGShPBgGYCXWUe3Z5R9ZmB+hjvxOhOWH7nCe HC1GsyOGc08YKTQnFFbhGfnB9FLlRBIKX9ODyzKAgHfEjc7Nmfh+vuxelEtv66BVyQ+jTlCfymRP qCywNcKiQ6L4ImJ49ASB3P2/VGGJW6HiR2YKtza4JWuOEtU/lnQt+lYQWDZlDIRdBlGDfmgN74za PjUFXMbRmq9+ij71RM9VfcQS1PkoM2cjMXs9+Gqff73hsKkRFsxWX4dA6s/E15HCJdHbNDYZ92g8 ZnCMvuqtmUgaHUOSgXdOFBOVt9pdOC1DYQJjMuKv31z1vam4S2j3cGip4UaABkQqZNWCtBmUjo1h oiCK1ijRDfIFgOe+GKY2dNYBIwAbQDgUq4p8RWDaejHXXdZpNnxVLyP2cZ4qcj0xSQUxZCARl2Oz 97iBD0XipJlJWHFQN5bVv3qKjofceqnmiBy6yd+VL6Sfx+j1TUM4hppydFFg8X05bys8OH2f/tZ2 dqPthmC0DmYcR2iMkyxjDoB9Ukz7Dm6tR+Urw7ivyofa+9WYbadnT7MUzBNhsKUEkBh937zyrGIH HjMFEXQ2N28boGCw/XWaIc/3IJmmJRCDGPcBKfpoST/Q/0+SoJs5kHCRqo9jybLUtqahr3THR3ZP NNYOCBhejWsNxBYsD3JJw+qkiyHwq7FYWFn6Tku98gDIBYEE61aMJBISIsAiNp6KY75e8AjyDXoO P7l+LgWmkpTn2Hda4ArkLtY8ar0A2zB5veYy7S/enIEgnbJnEw7JYRCrtualLRZxGtq3S8rPwuec +BhEPWybolq7Wuizt0X7Nl+lSdvKiAiX7ZopbGNXdKpJ6uYVM9yyPUgHEQt07rGJos6kZivZxp+y WvshwiWrsO4HUT54MX+1mR+u6JmHLzHaIbaBs+mazui7qIxuIFmLljI3TAg/0PMY9HcrGpmxiHJV x8mV7uULt7x7pR/fE/YBL3W1i9RDkrCemmuH0gj9ahT8k0EXZxf/Jj4snNoT0IqETEi57FturBaT L3bUKYPwy8RRSxBrtieyyoTgPQwiSUeQjauLRf5uK7n5fV321Gpeob+Te1B/I/LevO3FFmvnPntv OUb9z+o8vj7eByvp0xdP4L6AfHJu4GV0fDCeLivqpvyqhJvO5Ewqtg6HdA5y7SvJ+cMc2UQ7m/3z zY7uuUYmDnfRN3JanzN4qyWCHluJ5xn6AUfwgyfOznhjwaGHlFyXKHXDkn0RTT0eHmVvh6kGNZ+X ECCmrejsZE74F4ZpMqYCL60iTe01zihiMhXL69gEyREN8sOffGR+aP5CAOb/eruSNXWirte1HLAT ijv+0cL1YJryAnqTDW6TUKs8QUhBAwo19njhQwpD1dLHU6kN0C9ahPcER74SsiqSzYtEJ6HJ07NK d3OWCJ5tZovWnQdZ+Z6Cx/nnzqPP5KbL3lVG1hYS2xc0lsjloEIOP5PdHp7ruZNucTW8DeUqBFsA 0TNPJjj+63LvXGXUWtF3Ys+2FsEOvacRpP2BijgKf76E9AQADY1qXT22ry+wjtqsz7PvpPOxhaJK qyaXpqklprm9vxh7MSeHZTSm67iPkYqlE9eNvgQLzOwHM2ftcrjQ2BRf0EOYCRE89P6CKDXOzPeK eICJtHL+c5xw0bUBclEnzpkX5BOAYKsCAtBXRl1AmCpLPk58QwFBE2Op9BdrIaCPpU14JepM0Int fSVCwMBwUSuEui4BF4TimbqMuzIFgwiYNSjUIvvH15TkzhcEtvAjo47irOMtBjVBX4xuGXYMsA1D 08IOxJ4WCf+hecaH2XTHsDh4O3AdtfW+6DGm+YjRNLX3bcYaN4oSxe7jXzJkXun1C+V6quyKhJij yz6KU/j18bDegOyBGIV7tYWKCUswOMKZ1mockrIpXO4fsRK8PiieipRnD71W+ITaXAWajw+ldz5g e4s2SRBxD1eHdnOiWQMWbmfroegy3jZzjdJoV6MvU6z9KdTYBwmBJJg8jlwMlNzSod6RLvSb4wqJ NAI1GdRWu1YOzJGYTVvhhAPkVwLrueF5NLhnvsqJXZtDAH03EW8d3Xle1stgZuIhHRvLlUpeQSgz jjyMTA/Ql8jOUSiH/VxPUxMaVUAVH1qeYeWlCxDpkI8LnxWOJWngZIYLUXrGsHu8PoN3NxuxJYWR euX2IRaOQ9pRrLj+lvwpjCt9hC2WrTNiyckBrUOwWyggkAF4Ynp6Bkc2zG5x6x7DL2+XSDIWt7Ve 7bVscSPfTAn2vE64GSae8bGoYGZ9FfkbsxXTJcMCcaxLb5mMl+Blw6eARO1OHz+Oz1OmK4Ccn1lk D3OT9nHThDW1qSkEA4LvhUqzzfY1SrFOT0D43YCuz5xCRp979oM/Hs6ppmelOuyHr15ZujMekV+i OHP9nTWCcex3LHKoYyg+kmAdeU0Fxx6hcRBWxUsJtfh/QYiFWLiDAXjkhrr1bYZMBZNCygAQzM+P zbdt2R5QoEln5QyUWSlhsKrFcLjP4XkX9taZAyiuDDREO7e1ALJDzDvv5GeKqa07p5ms/TbNmKNm wTrlzvOc9wyJuU3nqoA8OuJqU4IV0MiRx3TZNXjCCwbyCGozmw9fYxEj0dZyX1fXLx2dZWaK+/do fMK97qofYgUyUY70U6R/mh4yMunbQOb8BKd3LSE7i8wCHAGeYU6CY7WXQxdiftMRcS+n7agrrC2G 75BzDPXRvd2zYWQcV1q2GmhnxugaO0rVyzrspGLIcafM14946YobEtEHRDOPydQ7QB06oLmFvF/a 73ferTYT4aS+wA626uCdZid6c7sSm1w77rVbWf3wUgJ/64qy+ieZ0aFbTC5TOX3XXDdmxd5I/3R3 67WxsYnxyKNkBz4CJY1eH3zbMeWMY5v15uLCMXFDmQZR3HmQvgTqF22OvM/r422m1CLGCTQ86ywE Dmm5lXHabtkMbhOxhQ2AP7rAfx5XrDtIY27kd12KewlfLAV0PkCCMPBcKJPpYLmjI32bYlGoTAiK 6Bzb/yKZyo+RtF4eMAQNUs3omB95oD6bb1MkaGwV1Ra10ffBW7TVDvKcSAR3gyOYUAS8V0ZNBWuD lCbLH2NiOO36tnXGFjbQe2VGRYLPCMCmWJoSmKoWGHI4wy5uFtZHfe+XHKLf5NmjIS/HRDWNMEfa UFXy0V+a1QDbVKIsYzFVXMYqMe/stUaa1HGFIKBBBj5SW65gW08VTTdzsJdeUJ/kYfjURw6Wx1qR 4Z4vlb/b23s7rJ6xHrFGS6SMUqfjs42bcFu2G23HOxoEve3y7nYYGq2mjt13yHGEwIE++tiw0L4e Pih1+HJkLa56Tbq1+wy2M352loWgSv956WqS7G989AoigjT7fYrvXvtZ5PQ8iZVB9VLpwXyWbQSw hQYHBylbH8IY3uvxUHTxCdmRzc1yq0uQw9dAN6XHHEycWz5f7ZzxW8dC/LD4QktLSmKI+euCmu6p DaMhEwiGeHb6eA573A7Bc8TmVfcTEPILHu8ErfnNDtaj06bPla70we9XQE3JPJUAP5wS8q18RaPM mBjxnnavPxzNssRS3Y4VCDsqeeWipM2gZZ4xPyc67USHAhCNmK910ZesKh8Xd2CF0vbqof3RaeA3 xnJExEdn21QvKJ59AZ1K8I7tMt9PCkeoAacIsJMtRBfKiXhbNFHZOWU0PvGJQHTAUBscnSO1SDJ+ jXSI46ab+joZExL2jVr4bCtegDVfKlt3mCjAuuqfgDQpI9xno6DFDn4YiidtWsrD7cae9nK9eOao qCtu5UJheCt+liVGD7OjHJpQfizRFL+7Pj4AR0x7AoCgrSL6xFmlQt4fO8psHLSuYPfU4yvFLLQU FaefSqS4dX+t6SDrhqVmYyW3gRla+JIDHLon7YWzmekaeufhOL63fBkNvek29eGgIyb/8dFc+LvG wnfoptwx8LRT7ej3HM+mK2sV9SXZ7lkAuK+rtF56JLCsg+2v5Fq9ndAQNSduXiKSpcKlEWCv3hNp 3XzvtIxqX4XIb0d+7611XSGd0xUnL1bIQjQ2BpHSiqa/kl21HirTCerkwEGnhOsqOyELGqgfmoBF 56wFOiAJ7U9k5M4mdAsI8f+V4Zs+t18EMsutx0t1DMm+duC2dx+eBiYQPXyjJMoOTMUCBZuRjj5Y vLfFPN1Z3FfzNJYEnOuJF5g5YZHrwr8kfNCcamEx5yHCz2lk+ap7Awr+Q0DhFImoD/Xzznt8YVYJ /b5LhPfpYK/GbPNu7X/Wi8UQmH7vk1lFxLQ+vClYhJ62TxhBkPK726CmRuTUBykjS1/xmzYPvzH1 sgk5RKQV8Ax3lL2Uo9xn0iQjWKl3V03QI/HuT4gKblLJ4Yst0Txj/0u668F8PwRrdlr7lO+5+fmv +EJPPDPb+8bAEspU+CC9IU6njeFvbZncdXzaQR6CLIrZjOXvoziyVMVJtFc72SvXUDR11plNPBqc k9L+9mIxGZn+Dpqxy2mAiNmqx7KnWe7ZbwUckcGM0jwEZVgOk4BCpG6jo72l5sWk7+P0z6uZHwIj FvaWY1KDgCupuIUS5G4kzfNi+Erk5139Aj45Qh1gVxHejLlUmp+eakgVIQhRLpb2wgFE0Lv4XeFm 9i+WQ652KGf+ZbsnHMvYFjpgBAdpTqMTZ6agyxWCPuu0RaDLlmKtS4HIZ3Mi/na5+EJKgQjKMMve wTqFuUcHc/ipm4wmvgMuaivnriuJpijD4/ljSJxHS34UQkbzIIq7x6syf8Sw4uNAUm/bophoE8hW X5V82nrmSXbcy9hlPZoXAdsgpa6Lqh1SSJkbh/pXFegSnud7m0qhpmNNOZY+kMi9zkryxohRe4TW bRlc4WdYnZXJ8t7+inUAGlph4C86c8i3k2ooIYfG19+HbAwjECD1O6FwCiqAlcB+VSlfIULNeXUT Cr1Z3L1FbjKnC76Ci4rI+CFBTpoGyb+G0GC77EmuPYyLy9JM3QQbafsnrbksBxsqsACPrNOWywih l3/rDPL28TBQgBy4UmvkmY0OCJyrsIbkCrDOUJTKuxnuJw3k/aNHZRnGRlf5uiovwCOMdBQ9QfMh USIW6FUU3p4RkMj+nrPC2rP2bbJRUwv8c7BfVOIUs8PhOv7Uvkdwz/23JL3hA7wi3bTV3Qatuaw7 icMCpsRWkP3XEgqER/GzX/Cpy8zdcwIiZw+pdnOvcvQrVe83LiLFa3hNQhokvQy3rpUIU6xU/rpW rqOX/SYW9dx7vwXnu2+BdEdWO+cmeMThxwkNnOJLvV4BWtBSVo7auxRfKD0ZTnB6j2Ig6c7bJuqg kfC11vvJzyzLQJz/RTKRTlpPDPEAjsx+udo48hRK/DpbIFXzhcvWnblA6ekECvqvy7vbc4BkftDB vMnfTpxKMzUdLlz7iITmEhLEdwVz3OmdY0Vk6ZcvS/cqDSOS0U21cOK7LIc6+wx4ry2IsIrx361k r/7p6hIe0TuqZHbWniJBFAdsCzE7higV2sk7chg9Tx9Eh5fgG8TJ84UWma0T2sQQR7kYhjbpf5x7 9rxwVFTDPlzuol5gO8NR1mp1BCgzQSo4GlRjSh8VlkhsPoxuvmriWwK4DO+edZYaQWNutx2HhLMX 3xpSWolsQEV/c9T2k+KgHCujKQ1claJg2IOiKjvDFltkzEVWAF/yvC5blZPtVCZi9sEl+YHjyFtR WGNfZ39Xzf/uvKdQn2PzNPuCsMTqd3X3AOfDHWghqOXEyfB/DWKToDVJmSrANMeSuQOAL9k+jTAf H1urLsq77Mer0SekNARE29QcApOSn6aCozR/uXi2yGw2gQsRWFP3L/6xDlH4tukYjb3WUknT+83x OiBgegTE2TG9i1CxAg+8fdzICkEUyt+blRD8BtAKXcBz7HMZsWYP7qglmy4wjOHVWAeJhYJaU22v 0NLTFtJRwm4/jF8Ib3PmMmzp18ZaLhRg0VhMevwH0o1BIHJlleVPiwqB2GdCwkSu4dZAGTfm0EZY F95F+6uyULjHdgnLIxvgBClXyZ0ThyjoHsEIud8CyaNSRxzr//lWnuCDjsunh1FNWZB23d8IxJPf MT/T1wdu2qDftVrG3nDqjCq3oJari2IvyVfoKEzKxwK7xfR1jx09Fd251vmJDt+W0Lq1mEfe+M7a ksXsJX0apPVfLrFQ1CXgj3L1JzmaKmANIPAwdQ7ie0dV281/TTi9vs8AMp+81wuYWCTkzqCaivss 8AXTVdrBK/uB0Z8K6Q3m42iyjlPC4p1/pETHHyxcO4a3yiYvz52U8kgzOj4LwjFBMM0h66Y52Rtg JdW6C2s9qDvjTuGixkhb6xtdJ+TQ2uFe+odODHHXWVLAWnnZx6IpPw0ZhDFvUXtJHx6YUlt0G9Fo LnmiZJR/gEU4JzJ/rwLPxgLWl0fhrLuHvOowk8cwmvGk6SKjc1IWUs4dzZG7tCjp6R/qMq3pBoIa T2+hmTP4rRhzM0+B/fre2BLS1NNPnM2ndkxsKRoNOSq1kEwL2Nv2jT1irIhqlchXlsuumLxCkTQj KxI3HDE5b1TSes3wNTeaIIrrB6DIZ0Xoc9EqkRp7H5qayiJtVrGRwpRMSXo5wQlSQuyZgGKxmv0W j0GZzDFtoSZiufop2lK7jW0xARiS7rcjDFXAD2bL79LKjpyY091wby17HsRzr8UMAeZRj6d4VT5a +vNqcaYs1pIeWlN4ZAIixVWmph0nFZ7mWmV5zDfsjpVHz5gsYag1JHN/Bf3PL08n6hZwlkW84OJw cJzMdEFXhePocHkErdU3diNlwdeMAzPV+D4HjTUN65197CoI5r+6JviyO+AlWUHv8bTU0mDplQg2 yHN/kbTnf2fWD6rqAGhxHt8oDS4l4dQlXm8+CN3maqSG4fk5vxvICFFdZYyPSXOSTVYTK4HPGFz9 X+zzmu0YuqhODH9i8NUUvCcJdyQ1dZWbQfCfEnbItZMOx144eJh9EWIF9tPKfn4T28w7U+sFV3K9 /c1druQl9E/y5Z4Wu2iD7nb96V+EAUrXoibTgsIgtL/ihVJo70qT9Dw4Kjsl0kkTz+kXMUkxfhOR TiYKJRhenR1YAiKOAP1wWm4AGawHVHGKxwMr2YUC2FvBdKvoRcg+FDmWyaf4HFV0fJ5LnJKpxfXl vXNi+TNdP9VeyCKUUWHlhZhexRVwXYmY70vAXOgwdnOom+qMfZCX0myZudc7I8MjZTNTYEQggy++ 0ROgmXjbJwYlklrqeDKgv5pjJJAPbbNEU8LICJIuQecCrKZK/1Penz/CBw/cVeCmPk9n0cMLOLKa JZowkFhc9cmSOLQKawt+oZ0n0o2i1MUgQXB/kCWTKYA/ZARvAs5L+datKxwMukmkeQ8is9l3RJ/g ZkqeAM7YTHjluzpc0bq/XrWTpUWr83rss54fBITFErF3QkIfgebh4lbQwacEnDRGDEx7Ivis17Lo aFYEz32H1A6VtSAAYULlXJkXhQXqvfK/7SpIJL7iZ5arZBzychHQjDfNipWcF5I0GTizoQolRR6j 7FqVq2T3gtM3dKIV8KocI7WMuqm5gxzn10MeDvJZYmSfrBNzZlg+4MCNGeSbVPWn4zUdNJ8vxdzD 3UPpxGPCHXJfB81UW7wnd0IDq1ndD5EuKAGJuOiugAl3GS15/8wDaBMKtSEAIk6kXGYEzeWrf/7x 4kJV6uFrLCi3LdvzbP3NOQFxziTD67I/Fwx/ma1gZrH8dPbOUBQFfAJ7O4YBCKt1/NQcrHBaUp7v usN1RXwNQgk0vr2nwCUTjoJ3Y0JibtiK8kWeYWgYoVTFsXrcrDshaErPghvlBFwEsLbOz+u4ywR2 tWC0AlESfb4j+GsIdxocRjrr2rgkt1bxxmrhemVFgQ2+JRsITsMYSZCPd3Q+5rE4NpNBO5ktFYA0 wCA0ldAx3NomJP2Oe+R05cKwVzZm6AbdVFEw8zNsXsdns05z+LSOT/5ZczxXVpzn8t4XXUPHeDt+ WJZ2r8/mWtOi2QpjD3F5Jabo/Jh0GhyCF3z7hGApsdf+TbzGwWo6OpiTVpWm/EOs3y3mj0uGij4g 0LF7zBjw6TiDb+S9TfVAIn2TU48rgA3IWYLarZklUqloKz3Hk+u8YOzpB28h5lAyfdRvjrhEeuVV 8jx6Z0QxLCO3UXVnmoO6q+op3FDI49xKP3dR6R5zt7ULqG5SEZs2mpZrM5aG1mVG0/q7dOwnBCy0 6pCLvGWOtooLEztZ3Qyg4IZ12fVfAD4WwHtqbtBBi2PCGleTSFq9GDe6pBS6X/IpQzozU7hGfk7w Tt6AXem7RMDxyFyNM1/0m9FTNViArQtwjGDsRbcPLt95+Znpugoh7HoLTRCk2SCX4QT7gQsEH0PP G/AjYjake05e5yoQZdThtCEUA8KiTVpkajgdOc0Eqgb4AhkmmPy+dqzDS4yeuFLD9aI1VL3Ycu8Y Q/A011sGWzOXWfjYnrIuNSdRQf5u0B+wL9OV/e6yzazWnq1RJU7+nfTvMW9w/VZ99kr1V9GoNSp1 kxZH9SpsgpQyYYkTzqqcQZCaD4sfRMaV9p02kfg0a6oKAL1Q7s0MUYl4hImC5MICyOHwFWrGQY2f XwzQi/PJokXHHEfe7U2tBDYfEWlAcQlv7rLe12msB6qZhGBJqs7CCcf1SwHz0oo0ZfyG9cttigK0 /aiMLR7pI2EWZKyH7hvTDwMfaqpImMRSCYI9MZd2YB4sfGE37fgNC/7/rGk/0Qjd8KZcnqkNmB6g U9D1gnYb0sVLM5IM5DeJ+qup11UyM2C52uZndguzDQOwjBWbH95s/PPJsQoKATLH6Ss2oyA7P50J EKJHIXa8nUAv9zYTJwYSsGVdm0gFuKMh3InIvtxMhg6Jm7up3zRF/Erwk2DwzcHrigWtskBsZpPN gdweYVP9rB3rCq0uTUJk5fFsv2eTwkGNOGtYkyZyukNTQQJ2hkdXGpetZssZ3TvT4xf7zHjy67+o 2twLwXx7rULGtN+vuoRJGacc7o/IXoJB4NJ9E17nugRKOsVemKQHvsRlowQVTtCKprTL5VRLUQnX HuBm3FqVI8iZjkq3I/o99W5V2Qzu60+c+KAwmv8cFclopDAQ0T9AHx5/z7xXC/8VjFSFfA+Ijjsz iHmiENCkFuNekG7DAqwBa/VlHHtiwW6b5JWw0b3+tsKo87+MZVlUntUj3LZxQGauqGauDwscnk/P tvKfZlyH2R9HkvRjTuPrAB6eiKhlDRFLc/TdtukPIIn9qeoAbsWDUmnje7Ja/Wy7X2BzRLKwSZx3 xJcONBXJA05x+0lJfitMLfinekONW+8k/i6xJBBon+QtAFH2AeqCcjMTF0pWcrmeWwkALpzcmjFi c4cYJF3eYxitsUO97uNm60ZltrpIDixV5daW8g1FASDGzvCT0810lsnVZG/cdqem0gxppar07SBa SX5RMFbp9IAQK6ilanTVafIXqbmxl61SABH7PjQ/TgqBrak6vp82/RHajObss7FBy6iL2Zi22lv4 GqgvjEIL1vQoWnGn5kuNCPfrTczpb2oCeFMCEcUiT07xm1twBkCcW0J+DtV5AQhlR/FbKnzORqTw 8vMTqoRFt70xM09hYofbEIi7m9D/TsM7kZyBtGRrtltBkMwF4FZmmx0MMpg/cF5sbR3ta1Hfpije zGSAo0fQMzac5yKMyjAUv4G7tQYBtQ81w/BFOMQP8Xh61TYjDP7lheyGUL7QG0qOgcOhgtL+AdcG 4EZms9IwW450JtWLQVP9DXr8rRmbLU+g4dIK/tvFvARwW0YmxpYUIfZhZgz8LXH1Ag20Tmo6VhAr 5jc8c4ScTXaWNuHKBAJjZeo8rJNb9FUBBctIYcZxsC7dKYMrWhR+t3jGjaQCm0cVHkr7eP5rLs8n Goi+PGfn+1tilR49+HcpLmMXOQf/9tI68SpSiUtcLLSeInKkdskZ0ZtE+TY6SCF2lJmCaJMpM8my yu5ms3PAbTwHTFRmtZZJUkxQ7lUylyFCVDXgZQ5xSogesmxfsbFDzeVALSM9eycWj60PAL23aekY CGMVfLNL5rWLx5UlEBH2GjQb3Vi5X3x8DDx7LvZwhAXvFW/X+lNyxa4Jz6PQSWD7JdWQqmgH5DFp U0U1Aic27y+H25QqTCXjx753ERXwE++t4ocFxb9QZYAIrnUSa63I9txQcg9JDpVJgTEW2V2t5SnQ SJlUr8ZyId4iIVpOwUFl4Ti9YDu/pkM1swjMkAp3JRYDm4Ql06NF+4S+pZ97uHnUbIBSbLY2nBtN xe6JT1GGXflNip1qk1AObdAjYpeEU0Ysy+b7ssxOgBRaYji+/GVtnzfv/LioX0U64Izxff7xAg/j Rygq0sA531z4Nu+Imh7uKEwt/NyseCsfgeRll3vQI5JIXY75YWbvVyaoFA3nRV7SfQR7fM5hi1R8 UWlt1po3Z/EsRNEb9jMBCqpMkn8ZDqmz8tlDMcZp1/tX8GoKyvkcZkEe75JYQytASzftquj8iSnA 3j0m73/2c+ISEkfixRJboSViaIFacUG7I2wlZYVtCvq6KC9coEV0+P0iO58rPhI4FNQ/9TV4w94W BSkjkLJK1sunyCSVA7wf0oLgxp7qROxXuQV70g8CmfMQKs/iaEQT9yucDVNImRK7dM4v2EfuKD/+ PyQSfxMD++A14ioJ8nqiy0zNYKAIIWIjviIArtEk4GViZtTgH4Ggxo8B6yrHjuMP1170Zk/Qom7T rkAGWY7nnTjJC6uQzv623r2Ye/DD1kdzOPkqUqgmI1+leY6+wtmxHRytd+/mFmxgBFXMYN4pGmaK 5xfI+47HnPYznEvF0iKT9H9N/VlKST9Mkwi9SWdV+y5OQAerkIJprE8/HwBBgSlSBgCtTiQmLRMt Eb78HfZr2QAL+BBuK6ZeYOLXt+tiwjthkiA0R/wmPTtYiW1NrBnZDJisl2yNQB8sY4wpDFfk0ifd QzYfylZuEUYY1/kpOzH9wuyy2E/WS2rUjbWhIaeW7dm+4ATl15HqG4E32QKsmrysqamaU2M5YFY4 KTARGMAF+aoAob4C3w8PQ/V4N9tfF+LqTlEMQXNynCjtK9mtFK8JY1atGRjj0ie9S9Ei89vwFOQr m2pPER+KUoKJ3QdNR/xeCd/0X/R5lS9M7is0mTAmHEr6+o/Ui2lO+jdZJvkoFby0yD8YdtcnkwA6 Yw+q9Z48b13smMhQDm1/YedvVyVqsPA8A1A24hBfejYhwhfL10qu+0qATe0tRjzsV1k1yKY8yr2h Q50QVxj3YkJZ3/jrT4a0S4etXu9rH30bT/+CStBVDq3Cxwl7OHGD0P/JaIkevLsoMW8hxGVP606I P/yz/01fZ2fmxWob5BoKn9kXgIlYrEt0HAAkue1E8MUgWhWFf17gv/KWcydlaIOk7UCrA3zTaJbq LM18faQQII9XW4a5AEPSf51hhg0UT1UQLfM6VcFjoEXCFLZ9rl6d/69o/tLkQOZ9Iupmlr3YUonq Tm+iDnZ7vkU6zfAXDLdBV+R/goIIJ8XSf8qVx08Et4y+448pF1MHIBs5+gv/qZMtT4nZF9bdOIUU ZtpIOQmg65fKDYgxOEaTZeMp//YT9vosIB9uz+OovsfJGJxxHEEccyBhxkV3fNnF/UD10cHrOSfy E1EXUKbUOxuFgbT/6AAIjZ+gLVVGdt1TcE5MUro/b++paurToAhbU2gnknDaqi78yKaxg9Yn5yWP 0vgYIo122SDU44ZnMnmpwD7vPCm8fsMZSY3a949XCSVBXbGRBDmki1KOe2+v0ekg2NXiLhybgKSz q4c4A9PfrByDnIdlr0iEQc4TNniPMPw6sOyBuKhbQilvQFnPAvOj2E92UJn9OpGyLPHTZxyfIK+J LzVWJTw8Lf100xgxqUKEtmIVvU85B1p/hQ5TjvIGLupwk5jEi7VlMPa1nJ8hB2IzcErI8zWpDS9G A6FH+9BQqqqUQ4qomofBWS3ubCN8ityZVUv3yc0WiB7dQrNr3nQ0cBT7twBNQTWriPkkRdaZ9pnx W7c2HeFq3uEl2OFIEo/Q4atQOmyVoqer/EhRapmD6WfKbhBlzi0thE2CKvxOsq3Y23ft9dROL0Ke giQRoOb68PQhjQp5QV8Jcae9HbuVv88R6v0NRE2JoiCa3BD54MIzZ+LOPXoLqIeX8ko8SscOP3yR 9eEtJg36kRNanOb/Re5blitu6bq2IIHB3ZFhW2pFjtUSuPQREmugk8j9Kt3b1HD0p2iAGUqEGzxa 5eb4jxqYNsdKqfnN0XlpFU60lmK4+nHzkC9r3qM9eXv5NazC7JqcE6fhr/U32O2ojFrtOggcTmr+ csZf6mzwdQHp+Y4pN/rWNlSodHhcnnqcYgQZq+6rUE+ajvpUSWY6rQ7EwGcDZW0Qe/a1M/R5edO9 lxHMmcgzN9GJGNBCQwjkaQfpTN96kppZ9G0pJ5PAoaHkVzW0JYb/5Y5zCyXJjZdY+sVHLya3LB34 McZqHvUH+IbkQejoQtFmCc1rL1YL6opvCsxkR6dhxMGGO4K7s2LULcxH07EP2ZyvNsAbCB/Gcxkx U8vhVGIjwcIHcGjBpK8m5+naSNZxMBkZxwju98VaLTGez8hn3wuLzOUhj2bl3GrNKI0+t0AMybRa QHR/AIc7WpQr/fACzolDJdXwkS51Pn/1n0ANnevuHrEEdH46qj8Q8mnm121CPB0/jNtNrgdaybnG sYDzr1wmQ6W4szlb4n1ENRGkS+ex1heYh733jLPhe4Nt4C8Th9MfVzO9x59RnSKsDzC3c1sV6g41 MB3pT73sj06rpwlskMqpfAz3mtYg2PiGbfvB9VO5ghOnOcQ5Elc5zKtw77ZzviQQHlj9h2wI0vNw nefxs15txFRx/ASGiTl3Lf/xk0ktwXro2A/yyM6OIgxXLy6I5v/MurkpRJQ+LUPkddzsSF/eJsR+ hr1YtTQxCoPHZO00FeKntTPnpy7nh6YZylNWo4Hs22b3o4D+7bpwdMUztvGUUSI+JCPuv2FSbQvm u18sbXLCohhLtEivyT7o+smTyblFFKPJsVYKv+S7deOKd3mRvFBenEjsKs3Ou4+SE9ovbqVsv40V 7WYdMirsmflQPNZqq5Wt8IbSnlzzCWGvQzVyPAfOkS8gPI8Bf+70S20OpJ438OUXlOmfghkTglau MY/Pvq5SlNGd/mvMt3EbPFTSXjgJoX+9BFv21sbghaMtzOtP7XqtH28aTwOcIVVZCourf5Gjjzy4 Ll3tMWh8L47yzj6cZpqf5HK1fA5QeT5yupRmiU9z3gzl/zzO9SGFMyELADZnG7OqMugOTQEvbH66 ute5gnSC4+OT3Ht5fFIk5Ru4DHHfjPgejG3ft2NbgNGZ6T942jESTHtoRTEBRcVVutObKBiYPWld z3kXolueVcoAj0M06EkdZwMdtBrOqnzJY5w8NCI2T7f1TjHp1krY3YKgtWjqwDMs8b0g23qpBUNI TYpAYHS0/jJSwIAaEpDObELdAGz183PTTtr1jVp9KO51gMv4exuNNyLtl5p9ZChtf2qx90rLwYlY C9D21GgVadTqP3HVWRrnxB2OWYjpzwA10o6Ri+6uRx6FCDTT52dglCZc8PiCHE8wccqCRPC60Ipo i8zP2oKwcseHMfXTO0tg9oPgto0WwqWHDx3a8aY/Ahlwc47uSa3XXAkGsIcUtpnD0ZHswTHPW+Ed u0jWFZCn+VHlIvm3+whaHD33hSiz7vjuv2eC3QXdcoyakvuT3BvywKdrdYXJi4P443NjyVVfSop3 O2u7S84Jd5x+psRmIdBpuCpR2mQpPPkgIeDdYXx+gjzLCUyIdj9tcYpCRUuCvedJslA4yu34ped7 n8XafjRxzsZiUb2KLiCaBYGHPikboK4bpatf3Q7kLxxRLh6Y8ocJgZpKZNf8IlOwRV5wvydfuJBN vWD+2YPIXQfVg9g76zyTgQ+PLbaVEKK3SFpsk63v3HYIJr/IuOLRT++KPHTuf36S7qYZQfjZWwf4 kS4FChHj8f1bMIIiegGcggYDjtEWAJRFNrpMM9QBt606ZPIm1tAwr3I0tQSNCFzlaIAuFarK6L/6 Zruj/Hq+To3OfcRysZjWUzkosumvWmT8KWuTClmGG5rO+6hg0rQka52rQsw4/QYzswvQk2oZ2Kq3 XSchk3dlxxbMTftHAzee8orMBMMJx6dn5mpTLe/d3bmQBUde1x1COM1dKXUGQzQal9EY+Ft1d/2Z kOvyoFj0MxLbEeruApHbGGTgj6t0JpnR9w5iakLFxffX7QpPgBkbjm0v58zE2XXN2FFirwNByTlv 916eWx5Mow2DtMP14UHHFUScg1BjFNOtUgt/a1mnpleRZknVpzErChLG1ACY1wPnIHERX9+7Ry6Y gDUYUcPaDxAruxrKwpg9tqelehKP7nZXt32++VyQThJ0aY/O3TbLqfb+/4bs2+7J3Q675joXgfl4 FLrH8nriLD0hfyC+5wxcaoQC1qhLL+zU8xe6VaCNviWJarspySLgwjPUoB0nwzPMKmwkSmciq+ZZ XDse9MQxEGKAMq4HqkGmlPGlqq3nidMZc0H1ABJsI7tJD13hKTxy0jK0jz3gU6Pbz52Ypkj2b3/Q QreMVE1qstHFdrAPhmqyVjBHLqLKpgvKYUKMKTICUW9QbvlHmsmFTzaH97+rvbIWfutN57JgixME eLphxSO3Eqx/P6dgPXOJxT8C8T7CVxTBRN7Kb50IMBnyf4gPE+hTmOJPChobqX0vmb0M1+vJe36g H2c9dRGHcso0QHV/7jYcphrkeeU3OCN9dLuyAz3Lk0imBHDViLDgryzmflZ7wj2eTc0NF9DVkoOt oohshlF8kwQnVrxx90GOdDs/gLndqujXDh67hQkVYhOA1gRtlG6azRzbBbF1lvsgwiGZZkGkc4js VNfiuCEOiQzFzTwFR/+nMEEEmC6r/8u/jVGl1rHu9pwtSIiobprjqEQwIlswQvuUnDBn1ZVtvXgZ rTrA9wBAtoU9CU5Jk4CQvH0/v81ROzc+Y9bLmUEf4S9aTkyIsQEbs4gSp+hm1Vv0gx0l0i4lHjNu nBt0AftpjMThq3nrIbNAG61b/U8BPRLxTLVbKWAZttyELeHuhwT5mRsgwFTO9dHVFhJ9yEzQALTQ I+JXlDCdRu/w6D1yxdtNELMnyjahRaJIrgqAdmyKbVEYETBRJzpO4UYRE2xtUkdEAgeT7a4Jcu1X veerbw4JKd44vspjR8AKoQUCymA4qjyzLKahFsbvnCxGLUypn8MiG10w9J47MDW6idk+ede4psW9 8N1DCrh5Escx6h5DTUSLcomMMUIzh9dLx0JdLzAxZrwL1IczW7yVlt6CHO0aeBCMy/vcWP9tGmUQ aJ/234uSkHLpKclYwh0BhT8zRnWo9GkZyWIv1q4h+1gmSJGtn9NelrPYCNlNs4x/v9yLWsWq3wdJ Vw+DmfFpsddrfAyj3asK533wALzKlbFIvCWqpsOU06ygo/392rcwX5kouh9e9dtSGKvw1JSn2IBo KFC+VskLdwksws3hTLTCNsffsh7EvWQIMhT3zX+Eq+S6rkNQsCtkfKuJywPWc9TKM05tkjolP0NO 2RbQd2Kha1ITLJ9j04w5TR9ACEEiC1PkE+RdxpdL/JXuq6srcCoScZzsoT1+0I3EDpRv9gDg4J81 hjM8D6GIiWR7WNrAC4okfhkj1tdlFCcQ6t/BGzsrgF5xeRLkaiq2NZMaNy6OLT4A8icJd1VJztgr YLpWDtvoYj1waywUe4BbH/sT6Z6O3Ev7PACWNyQVvTiycSaE0caKiWvsUPSjkewZ/JEQhyGuhbtO RGg5XLCRAvp0tm8OSA0LUqgMloWaPSrYDmwuI94S6x3Aw4S9h1NTkzp6d9qjGOxpOgLDJiV3um5G awAEZtEsRSkucH6P9UeEM7MqxaRsFGw0qUkIphCwVc/UQ7YCqNMh3vaViL03G5IswhvWT55tJSia qjmsNCPHd6j0TgasL9R8zfC7QkZ97a4fYhxss9mR0TBkUQnaccoT8/3CO05FqHVsB5vYwj7pfVml D4mtA9CAgUEVib+BgKwNHSt78sXFjYYKDkh7CI/oOVuSCMybb0gGm3KFUIvU8A/rO2Gdmzc7H0QJ zVwAdd3i55ZSmVMnMxYWO9f/02fYNQXu7X29R3GcnDCKeo6/HHITOCOQkiOS+dd8vVY4gaeZZ/3Z 23e6tcqTZ3xUpi7RzKUgwl0VOcFNsmnyX56eeX4HjQbpBg5yozmu/bPmG03n4e1ILh4ErbAklOtD mZqjNG5TnnNtRy/2AiwKxEOflabG6wZI87XtMoUZrkPU/fC+9pgtpB5Npfuc1ux5F2dnnkmSXWdS /Mz4c/wAlC6d0kNfvxRBDkar2JqQ1SW3YFN74TgOg5mFytVjIICIalU9wnxGOcY2N/8EhyBDlZsd qrGqCFuEFSyaj0Qb6mLfo8q3XwghlYud0N37ItlWmRxUNkTQZuCSk81hOybr/h8IPre3yvldu8kq HKWvKR7DiQ87G5NY7ZePVwBrN6r6Ws4GJwUHcmgcCdEpM8l9UFYHZ2Cp7dAABXzLY/2sDI2WJKts pJrv9ulWLgIyWnIYF3eGIPeBkMHCq9/5OS5w6hx8ySPXQLqlB2wTQcRQMYscOIat/geO0OYnNnyz GME83i/CcpNhnl1wdR25rytmiOBAFWOiGb4bLirWmKoLjOV0iKCBTiLlWTw56YVh2Sp/AcX5rvL8 r+iovcU0VvHRxh/draFy9LbmI/EFW4KRdaqoMMWjlQwsxy28coDK+TexUGrZll22AMMe0k6dUvXV xs+CEPm0B4/EhwUxgfF842I1brJ3JvfSUP7Qhb99AuX7mt3syKZmpCfb/XurE4lmx6otYe/6qvof GGVlPiFWmeHUpEDeItWRrzMOhZctwVJTxRq7uGZmw12XYizPxWAmMoNRUw40ITF9QYiOkiXVnJsO bx5hvxW3bXhzFNbofdHDwGYAygx/Mk68+3eqHPLCzTYtVWvtqxvglM1jSUsK/6+MF3fxiBGsPnzE 2cjDOR8Q26SmpCbs+h3vzZ8TChzOkC3uIpckxtRtovp/DFsKwNzTCde0P8QVBcwXPGHlS2eLaE3s +x5iqMMa6KTm57Iw90DBVB8fxMEjV4y19tw7FWDz9Tn8rDxsKf5eDyi5oRn+tqInsHOQOXCC/8FN wypT5Jk9fDlDR1FNrjYtvce+HWu71Nhh2qAGv0Un4bTmm8Ofluw9moGJUEup3A/XZTfdo1zO8FAc 2I+Btge7TpirOWbathh0fuEviU9kiiKDwlAFDMgbZfJpeQxVgF7YgFhvZbrpnHAdY5PMyQFIV9bC hgSmNlgQQ6/b5heGBE1ZIqUQObaFDTRbDp2TgqR8wvL62wQYpkYD+xxku8A76puM61/2tDWzRaIC 2qP3y6tx7gHt3daiHyo0yICuDyXj9pkPtcP4RPlZNkih/5FibTw5IvThViXXEXQ5YBneljWdF3cW +CGme4Ac4JAi1CezpxxBKETT0LjoZLT/x+7j871G1lcLsvOBVm5UhbgMu6/3XcYqWxpWMVOh1Ac8 K/87P/xOn/nLskL0t8XFitc7wj2b9Prjn2WgiYVDhg2pPjSeaUtNVWIE+9ABgaZqSlJ4RYVqWxgG 9+2KTC0bR2sYZ4dV/7uKrfVc6sCm3l9rzbmQgm7gygBDLY3dxxQaYmFumvoVSfQLMNBq0xA8Usa8 EtLRLTyv9zXQmb2VAmN5xBlIKdb/jvjmSGOnEYNNfqQvk2xYSO6g1D+md0FQL9KqwnDQhbmjolJQ DjaVRGYwN7N1K/XoEHUyZYTiEU5KB/pX4lM0V4retPIoGebqLLnmG8YNKMU4ffkJEzXRJm5pm4EG VstVPTHdL+PpzcnPWkbAdld7XSrFVfiiIKixifQWgl1dXwUuLk0oo4k00d/IVnA4C2HmTxuOCJe2 QRhq6TztOa9E+r0vxAzcBgpbrognsa9Y+KbivJ+E2uEEBM3z5g4/dd+xsfZVTWfAJkp9/4ePmj6L 9lKNzDj5crw0uqpnYQa48CaKXXsvnU3vhYxmpwb46B3kE4CLPZApvWzERwbr2x0DoRppKlMAtU31 9P0zWkS8kU/8BSHqkIUHMwMjFcFdb7Q+l6IvV0dP4d/GLXbHMNCW13cHeGdaSnaLmdzFH4xa4AvO 6Ja4qju+CaXvihFy0wSfjS337rf2j822XJ0uXL/hjZ1BSufeFDJ29dPvwlQLH500LvTomOP9y+6X 1H5eVON4R0RH/pZjY+ytqMrekLK401n2Doq2MhFU5aqUn0HtuKTVjnrHD7dyxv6WZBwYln9HWPyd SPi37V05cp7IZ8l7JYPNIp5UFHfeL8SpacVO/T24qD9e036AX0iT/vNDNhY9A1PfnJ50xbdm3I73 NoOrasJ/MpyyGNDrD3G01ncmhFShh16ZF45m37tTrQLoFTlvtr6MqD8ESnYm7+6LQQxv3KlaegSL nemSOarx7+JEAl+aCu1XA/GLx5mMo9ar8GU2rvrmUmn90eDZXs8/GbqL956X0br2oyBAabt/JB15 1jDqJ2iUyb3fs3WFI6BkWp5q48iMSEgxvNm+IRJpVGo99R8rfvKiKKqBxcRXqBe+cnTc4GtUrnPR rpvzHxytQPh8IovHkRrUNFUN5n31iRGgh3B0GeWwtaoPdCkQa223wK9YXFM+y/onkBjVSkWEobq7 NVnhRp4rsKW1GWAcjT0acW2lNYf5UWWuQhL8MEuC2sICLRFR4p+kV7P4wbFFVo/HaARyuIlUKqHU DlWRTv260xEkVabu40EROwJsRVGiaiKhOVdgZ+psQ3QD7RfQPLDLlNbg+8BW/aOWTdxuK5Q4dZP1 F3xz7oTxvIvn2NCRmTX2UuuiNR3zgG1wFEMxOeNUycncawZh4XUO4Gl7AmgXe/8vkTVAo59RVOt8 4E5QEOQeiAxKfeMNbmzYEj3OT1djWPXXoKfnG5l7ltuBMgFpL3zS3fxrytqy4w5xPQub92Q99QD0 2dyZ9gLKJ+vfIe9DZCAwgYOut73MWpfBDnJgFXuAqCv+XjXpSxVkoWU0kPIB0iHJbiOn901WjB7j oOjtwnTazSYZ012Dukk+64035zhz0UR/8lTR0CuWDRVTGDJUIuf/NDzgwK9Qr5iWKqLJlGhNt4Ww AQJY2yv+yoYCg/MSPsERZvPVq35imGUY/44z8+bQfGqRmMr77C2EWw0MHnMvhjzF60AcW2WiCWPL uvOB1X2280dI0TVPMY1y2hRj0JQmEsYC19J+rIp7TfOHgGTeJ9EKO7DC4abhCPxbWyfe5+HZAoH2 d9D0Ha2dFz76skybgCNRDJpoOwzINigSfuJdnUcmTmmMCShQCVecqTqe+Cscmg328mLe7VC36Pwg DW9ptVo8ck2a7NFhIVPjh4/OvAuipQbSa5JlAMuuuu9AAj/fuoINJ69jJEgoJcjeWNB1jz4YDfz+ VPrKTlHrui1cOI5WT6kLrgr9prPoMObDG9I2tARSN+9TpozaLNYzaAueybB6XExWWclHOy78cgX+ oTIQ3Gqddb9mPtOd4VLPbYurDJWjVOmIEpfOlImiNKPv2X0a1QNloY6ZSx6El2iEoLXd0gIihdGH CqPilOhq6ykrQCjB44nuHewkA7kd6GEWBPKNWxbL1pu7hxWNygNtUpHlqaq+B62bH89RdM73xGt3 EkOGDLDy7tn1bQvU38rbdS0NXaqzBw3NbN16Akr2yjknOxC/NgSJYjIcuDbE1YKHzjg9v5TrBnH6 X1pB8LikGKmfkwuOp2UzEIpzzlOBjx8IVMsHu2zhArONkWNxmO8wP+Aj7MqOhvgQpgMsDsi8OJax VDqxF+KWVcXkm5VXuJ7lXmZ3PCOMdy2IhIy2iIwdtFWsqj6z2eiK1NCvOoXjXd3xhtA1IzalKIlB qca3mBJBd7E/GgptpUH+AAFbvwh/7C4uM5s8l4HbkXrJU5EbSVMIpQZ9OenFjiSapFACC25zwlMW DXHeKYGwjXx+jPpxEr83yiaTwTxvxvddfDTle30GvjhU7HdA/3+47zK5qXpBaW96Tz/ZdAtFU1X3 mzPgSL6Q+teyVqgpttjRiMC0alyEbNSDOO/EhakWPtp4CR2rPIlm7i1NjSkmD4HwOOFDD5BYAwOh SaxE2bIYqUPQEDxTepIvSxpMVbKdhtI+xw8XpAsNLz6QpDsxuYmLpWxdrdne+T9+E43xMRWSOjLN +n4odUn3VO2u8ddgtbd6j2S3XKcc0J6X9RNu/ttgJATFNZu7UwHHAdxIQSoQaU8CErpMl6CGhgq6 MFKSe/JY+A7KMQhfVLnt42iUlfA/N0dVJw2ZJL2Xag+u3myD0RaJdJatUfRgEL0LWHf15g6is10g B61dz8nKVIMZ/dU3YHZiOPaAGhB/H4KH3cmreuhxs2jJyH47dIjmopYQrTkTAtehEiitwW+5Ii+Z fiJvd3X7ddaJscbBQCXKcIJAtGvpPxwJM8PEW5CvhEjk6f+hnM1W5BhZJMGd1Qn/SwCM2fIR9Y0t 6ZP6EBPifGFLM+v++rG1bPc0/FsFzO6uxnpn2UdejBhOWGK2F/alF00BiM+FatTzUYov7swyhM7k qEal2VXBwj2pquDqHr0Ysh3MQXz2+a356AJipKaP03rbuT8ktqCa2PGpl+QWXTtZXg8AIMGDJP0N wM28qzWT3PdzavUHLxdFvg05FuB1HDWxC5SgBCZfkh4fJ82wl34FRGQp60ToouquJfBOFp3zFMoY T4huqu4B81fI/onh0gqZchBhNilbt9cqHZRhMvTgevK7E4G50DFzkdqtKTks5FxXjQGsrejFNDH4 u2k5MLfbqi8B8OhQlD/KaZB2WbS83VV79zBsuo3m8OqtGlNuwtc5mdv9UN/V96EdSZpix3HS0xvy ESdIChK93221BTgw4B8CdJgd5lfeEReAsHqwt5t9IyG/Sitnw20+/75jnDvcvQGjycYCiZsUGqkB 4/BRL8INPJeWM23QeISQ3ao50qqoRtpaTS4XtuHgKdJXh5UK/hu8eLjL1Uhb6kPYfrl897fzVn71 +u2Exr65zF1pfxirhwYLvoMhshf2WE5FWiv/8zZdPpZ3k4q1yoGB/ULwkSuVwbt8PBlOHE2jeLGk aEKVSxP6NhJqpeTdJrMjoHCA/eAubaflMXSCcadIUKwA073jtnx3UFTS8wtL/ckiv8BP24VXDy17 JjTbIuyUL0n5jCrfhyxa3m0Nnj0KgVm+Jgv5NAwT0Gg2/Vj0+eDLd94VIg8ywWCfC2VA2EVI+3kN pg+ACniXP1W4/a4fhuJIFrjfskOSqGoClAMnFEVGIV0+QKPrASeLySQn8jRGUKH5RHRNp2d1HLh8 2RmMErKNXVmhwSdkHQWyyfZRNBslB3Rx8HjwR1NAWGeGOBABPYp3JjU/FRhS8dx38duIRIZ0hDGC b2PHEHRkK3MmqELSoXqWVQFqA4x3gO3XmQ6IoQ5V/0l4DR8v4czOySoT6WGnx1BSwQI/nfELZ3sj gjKzHfKMjUaemoBdfMbsx8tLEFkhT1TfD1qap2lwtC3PvcnGxd5w9+Kft9rGl/uZkj7m6scaKInS WjEUlxQynbBQ7VAnpAA+OaPk8aFCrtzD3kIz49MORS85OlysUFX3PNVRlBprg6TwJ2s9L/8PXroH q4NYwJyqKM1oi5osL7DVeAT/2IsmnMYeYyPa4ztl0WR4qrBXpr0R3KK5D4LIWL2ug4+SH0akCrpG FTDKzukfEOMApeNZCKoDm9g82RRWGgxyjYU6V/HV/iwMW0viM8T4CzqSf6lPuzSlvafCL0uX01/9 pfDf9nqGZn6xjnIIkQ8PjH3M2mm+td6TjRsQ4Fh258i2UkZtkogi/RryDYIIw3H3gx+c+O37zmOb FE27pLfYxqo+SGonQ1S689SGwdEr3BJ3vz/G78LcwRBmgYXsusR/Y0+9ow7vqzuFqanTDLvQak12 NMOIz4Fi5d/1uYI/umEVkXbfO+mYn+O6hEtSk5n3kzxYMf+FFSdOtYslJ0fsN6LUJQcT4lCwW5QI EU55G84v478LSkXOs9XTGz7OrktbeYTOnZ66AopE/e4H22scCy4R+9C4+IXXfqS6GQLmFOc2RLhq AyaOiQ+9U+gObGrHz01yfOTpcpFYPUT5v2yzBDXEMPzreidaVtBLO5OhYvWrYmrcbaoQvDiCbvu/ d8Xz+H7CGwnWW6DICC3Gyt5vlOyHv5bsZhAbCm/3YVj1ELoeCs23tyn44xljB05ih0QNWvlRPFM/ xMxL3F7CKYFYNIPD2khayKBe5F0WRgM17M3waXBrIbAET7PqG6VBIJF3NxnLBJJ6iD69PCTx2Mur 0wDQy0QTLuk2rNtjKWQ9c5N+wWEA90BhbCX3beV0f0yFeQ1SDiVhunh+z0mBN35LKBp2LBy8rxa/ 3kx6UPpcJ1GE3oh8H2Ig3ERG14VXeSIpfR9dU79O6QUIKzVmbzqu3lyoUWuUgY6PdUb4Yo456PYh WsVi+SSIreDV1lxwu5bwft477EJvZfiIUH3GrGODs7S3btr2tBIajZ20+tDjFW1lbyIhNe9oQ9wb GW4gzqaVF2nfjFELOUjPdRLZ7rOlw3kIycgKaaH7kiUcfN9ls3TiKRPDIgIQA5dJK+6MQlGMagIb tZWkxAI/hP6/2Ocb3NQvLzcOJimeO4Xtg+KCtBPjIlZrsos5SSYs4bZRXqiDvOu78pGAwKcSm9xg BwW4XbIqNhS8BtmypLeW92Bsyi1HVkhHY351ekXAPpUf2YeQTgg0PLUseRwOr88xRWWZ0uRT3diO /0QkZY77iIN24bcLmHqQtbe2RqWcWH/k949HjtjBG2vR2uaX0ICbNZhnsRyAq+IMqtlGTVCHsrsk yyvniKeoDA0d0ckTk5zHxIGU2+PIeQIu0QqJWaHtIy0ZDZlZs4/b2gmkTjKI7qco6t51i79+wzZY 70PFLjNmbUWRox/ZPj3mAClW1VeeKbf4Ra1wvDX8m4EmDnC66Ow+C7b1qOclshWLFCupy46Gde6Q 1km4y8JfhGyw5WlOqjhibpxxtQNnTs0A2Z141IcrXWgJVze4aPtQt3vq4Dy/LcJ89bYTLRBrUQWz lVbJFafn1vjvCc7V7Mo4hvIwVdiJUxKU4Y7JBf0Vpn5k7Noyh+ZOxEs/NNAJLfYuKKD8iCpCnPXQ A3FZBBP5DNVvL3rbX0M/RSsBQYLFvNX7vAjUjXll3hyfYFKsRziU5W5IRKby4+G8XRzBWOM2VKoc uxM/wLrcwpPeobH/ka5jCAuO6iyeXXCrfQj0Qft/E8+eYH2TlGp/X4l3i6Fkhq3qsntD7cISrYJr NzdPpqzqVBfsMx2/xukzINhNZxPaRxyxoIYbK9tDbaLFhDsFyszncCMiQQJHcfNyLZr2N+V4siNq NrPMvnD0As5FdWLrbLsboU02EBc0S1ardPvv3IDXXYmZr7e7BI52xqOWoSXst1V49q4rWWc0y38G OKvlGmjjZtDVRd/7HlfavECPq0E/f41aRWhQN6IE44JG7QZ3U1ceYS79fR4dPzDOGgofZOzGumYa vr9Op2rHub5KiL4gBIO5ckwJKFH3LnCRZp1yqOqcygijvc8ctV8/BP4qogufsbIPWdVbnUWZ5oU3 whCk4ZrB46qL9rN2caMJP3eXYB/v4MtbBCzIgzlLH+DQI2AxOOzgZefLsNKMO7N0cjUWUz2T0pxB +1t93scG0GMJZZYEqp2aIJg92CFp+HHL7KvsJqO61tpwiTsFchxQ+t9bPdDvEhQzchAEdiGazUUK 74W/qPEPvIiCB8YTguZENAgjMDz9MR068IXfR7sdQrHawnXaoPjq8wVdqgJsftadSUSL97epi3Uh GvLMt8gyDCMBKD+4MF8caiQDvit5brOZ8f0kDzR3LIBWKlG5+pBKh6SYKRwkSfaYPZXXwhjOa4cf bURhuidibsRdUkaQ/o97MlxUOIzDGcZ8hVxQALxJO5YTXiVRvbfH7HhnISKYTniX2thycWOZ4+Cz Kx92gm2YuotUxAGPk/7T9WeM0V9pIkmow5RYDPyzF7hT5ym/ydGXtwuJD1rpVXLlR07vgEfPLHpU 9+MTlhxfK5uruovMsZF2eFicTI5uANC/vBp75l1Aan3QBDBHTay43hAqg/5x6n3pfn4IipMsRh0J 43t48UuuW+uBMJ+c2M60d2TuzDvFsCIpcEB9Ts/8P8ockVcs/9/ij/6X4u3/bOAJr3E0ODj2DU1s 1IIJbbNd0Xb/2ByqYO8yKYDtoxorwxsOsqQdSyJrhKGr1BFLQUVH1p9nzIygH2z0nZlwQwHudvTI flrvlT2EX56D2ITiMdn8hOW4Vf9fT3VYA0DWwkF761ih02XKct/SS32WH5IWbin5DxzQTAmYc2mF gTqL/v2MXKKrlB6yiMga8ynaMnvaruXwPGJ6202U06IPMiyMGKNnFllgeK+WJuoRx0VW+44n/745 JCl1IzyanqA6AaaseLg6pXH+fUIWhFILAwlQbe5UGEsaXmrdHJZUhOHRoKSBmFzAC+bZXjJtA7Oh tdBAEyBTnTLLExkDy53+jH3SpIbB5fgDHqAOLwJGGauANcDmlIyn6vwgR4Jx+JpWBDQXRdQI4N++ +rwnnLnXiB7gMLAx9CPb+V0sSiv5w1+xSD+j22ahGRmxo5wIEecQdDKqFjHDchBRGpVMkhGKa/V2 ZsczzLTaF2307iRr2B257w5/oTcjlVRHpsbdMODxgfuuztsO0tlwBC+8k1XiC97iLgY97Cf65R8J mmWzhYA+S4dPvgcsYWho0PiuO8Los84Dr0AEeNyVw2zt4Lz/PWLYS+TKyuk5560byRYj4faC7Xuy f5mqm/9M7aPmN3irfevhNbxW6wvTzDsfCa0fvO7Lo+g0M2n/OPgx69NYN14uZjT6XO/OL8YfdQsX +32/cBAXPCJ4oISS8EaOSCtRWg/YHEYp8wV3yuH9Fs93dOrOy8TciwiYZK2TKu0yKKhZGhD+8bqs t8Ip9qK8zH2KWPSgla/i9snTuP/ERsYDYiFO+S3DE2EdXPTseo1BDoQyrbqGJCrAjNvgh5SYuIVL 8zC8KQ/PY0AQQbxM/bYGPDEVwxy/KOqIsc7ZMqCfi6ZEWd0LP/vGOrcw8v6JUVQEExXd8GRWfOEz Mnt5zEOyElg5G21zwXk5gh/sv6d4c+5yXCS8T+yUefjRljZ/0Nr8woT3KNbGM6EFYXWq0L9hxRc8 +rUQ4sML5UAIDicwREEyJ14OwxeWDzxnkih/iO/YcPo/V9JCXbzeEKaqmVJK7kYphKQkGl64uVUe a8vTy4GTgXPulbtAF1vQjdfRb+EI/7jvcjvtKW9FLC5aQRTm/Q3oJJy3IzDd6+TGyEXNjL3XNRer zRpE5E+EDl01uweTQHehSmeWEvmettG7D7PC5vFFyy3Pqe4rzv5NUYzpCwuWM2rV0SowZvlvvA1R 3amR0rK0yWbVuoBst1nEiuvIwaPGsSpQq1Oxvf20xdAqDpYrgJn7eiCQWe28Nr8txuqYf1Y4/Z2p rT6PrFhyrlDh/96kbPidJWaSGv90O2Ou68GRKL7FPnjGXEkoYnt99oJEO5AnFTJB6tPbduGmnLrZ SzuEmg9ILUz/p4TSSEdHz9hQBzwt8TVmyOqF2FN14OJx4EVL2dqyZ6JhVJXosj+j9WcjbKR7LAzV RxowUy8dM1+5XlZ1pPfRUfZmBZcyKHqXuzsTKvXzuCWotZCmI4N5zzhyFNQpuMXPRm9pFJBwMP6O EPRrPvaXtyqb/3uSg6BUj9XzzfnZpjetcSI7VKwCWcaXNqueHeOVYwbr3wJco6TXy6LWuRrFH+Zn Se/h7+dx1CMiif5cv/WBQ+gIvI90hAnsbrRGcLpeNBDterTDxGReTG6Bq3c+UjXQ1u3nzKdKp4ro EExMcZCU9nVNgZ3t6Zrs7aeEwxQyUzp2ovLqmhir8csweFI7q4IxQ846Nbc0EuAoEXUlyLTYEL1B /8qN5DNCvN1cIJvHLFDeHMaqh+kmhvLkeqrmSikVtWubdE8CRHlGmmQGTa69JGniBJ5U0YEdjDMD svtAou5mSw1VwStwGwdQNQ8f94nMKo/3bbkHFCOS4AE0NugJKRNMKDe7kWxFSbGIKLW+q2FKM2O+ tGhyltduyL3IiCOAgY64Q9Phb/iU8VT+0NHeSnaOJP5db2xtdkhL6/UqiHeW3+g19qeGgjNuUs1o hjONSI8JDI1K5uPmbsIW4G3Nh3jcXtPq1abQbtUy45couHIz7ThmOL+Jk+M9Sxofw7TAb6yvI/dE 9KmHob2KS1zoA5uOuFWgJs7fEBvgONfw+msSzwanafCgGm5DpJzOVKxGVYYRNjfiC+ZK6RdHl/LU mx0dCtP8e0TK52uVmFsNyFJuJ9g9JrXvEiT3sOIv5Wa3qkGyKYNOWxHkTJgXWmXjg884UIJJ9dyj Kh3Fvv4UfmgTr3TC+gnxaGwVcC3NG8xxkqcgx2HyZ+l7Ct9TbtsCniDqCaT5pQ/5OOol7WASu/z8 9Nv4hyRNwAbxItDDAqmK5PAbFXjvxNAc52R6PJm71e1mAqfQBVpgIFwcvhGMV/SZ75mt7uB24bVA oWsdP//jlZybpuL2tFX6poU1uQ/A340+msX3EC/8dg89bTGutT1BHqwgquOwgvMYEYZKf4scOiR/ 2AoQ/OsDlJiKhibhYcMe0/KC4fz0+DyCVrXtA8oNkzmnm7bIyY62MDIkjfuKq++UfkWauyhjZZDE 7D+rWfzzaUt8GIIpozCyEnA2ujAibBbb3G1ApzRg3JkcNrT0C91voortCyCZkB2ezs/epIt31NKj muxH9iuXVgXaSECnWk4KTKdSv9CMdWq6PLAJX5wBGq6ZjL7rXwCZNmHobGUlxd2MLcNCFWwrXWMu KhBkxxNT4saTSZWl9Y8bdjLNNRolmp5NDIgZXVuZ8ORC7aWr8aZyDUa93P+OA4sPvbKSVX2FG1Db GUnYZGht9jBXmRpbdiXkjio9E8akTY6G0f7vWT1mmudPfgn2jlCOtTA3wyTnQ+DOM0n4VSsXCw6R dEFqYzGSSUuHyST8vyG38Wq3s/c7yqu2Ffj3oTW3TbI0zIrfBRXrexKM932DcjTg1wWJyeYSVqpq AgZxLR8RSWE1dsUHgo6x6BXearRLoZiyAjoOdlrb+lvkYejWmyPv3bP8iiGTypXVRocKu98QVUDi R/pcjq8PFRW0Hh5YQ/NlP7nU5xVaIKPKcHGECdqaD24Q89fXmDkaE+o4Hl2P4EyneT31bRbYoYp1 aFJ+lhqGbCZjc8G9NCLM54GH25Al8Btn3/5R7N9R7RJozlypbRFql5c6otpO/40lg+unpAlC6J+b N1PKtEev99nhho7mCHQAg/gNQ0Zu0qT+hmh/Y8iMkdRzh+tvyzp+j+SVSv+8lRWZxyeliQF0Nw/f u9S2xITTdJOFcqtv1vpQ1IYLz5wp9KUi0MkuvtXKvEDT2c0YjSob8QKHUaimHDw1QtbaOKDWGXsa mWlaVTOg1hJI7FI1gH6gGv/NPFAa1+ztuTmXy6I5XTK5qFYpPkB9MeiQfMNj+j5pwiwBTATcpm7m Mh9RrYCh5mgRp3Rr44KlvcJlXTmLVQB93NYag+BBHbpO5GHqMyhXTv3Pdhrq4qo7nlTv8XJNhjBX g2AQAcmimyHLLmBB7LQLuDtdvVDVZlFhAhUF2ytHvdtvpBz0rH2h1tHXbx9RW12Y7FUaRXgw53L7 lrF51VYe2GayujW1t50RkOpJ9FuA8+buHaH2XDO5ReoO9PN/EzX5Bp7WDNtJUyaGfXiX9RMKs18b C7PZXCxai08UNb209VRZjRW7RqhU8r8i6ZLsJBsDOu55Xi5KlgnbYbDA/84o7Pa4Gi8hZZThAvKC QV9dhWqUI8rvcXIdTdiGI4sIJ9zE1TLs+Tk2RA5d+tZw5Tot1nwe/wtCKPDM853Jrf51PnNh0DK2 VT8/p+9vjdVcigZad6KjgkgqbyrcYCweuhdcxMOlxaVVRHbSKcsvBFzTY0JHqLMWjfqM4oMfx/pN IN/M0pWh3GGaOXn1RunU53EaHT9uSy8poxnl2KjEQgOsMpyav6o4QhOb5wvgRIMTyQeQWDHfNdCC qA2LnNOvh9o5+IvF1n6w0OeDQywQIK6plLxEJkMIeXfmECqGS4SvZKs5nzK7RkObAZGzlD+RmtHY Z87chQ0+KjZtFSFNFM2/tHexI4pTcNj/MiZTR41QB6mFqEZjegcvibDvJRupQNHUN3cRUq5iN6l/ tIoCRkGpi0qra4EFdqqvvBK8H/ixZW6GZ3PrkmudK4kf9k/EGRmwDkp7IdKgnCzXyPY/h6tBc9Lc d+GckobSRt14UwpNp0vr9kb3BbhVbknXlmKp4/OYdsdl7Ol+AW1k9ayteWJS8qEVpROBCaCtu2jv EY0dhH4UhLazzlNUAwpMHkoRd5MOBhGGw2C3s0Eq9qau2VT6IVb2js+pwlH5YKB9sPKJZxiJ9yx0 jhvjHkrdb8LrqyPZakEUmYCFjjdAcQ6/LIz+hUr2SHNusFa3NkYRX3Uq+R/x8mU6PWLBm7BV559A zRFc+NrV4reBf3OBKU9CN79/XQg35ieGNhSOtqlAyREFk1FVLhzpLRECY31n2AJqQhEQisnmYJGa SOxt+nA+kkiv4AKemkwrOIbOXlK0tzOmE9Pv/xOW6j559WFti9UVDhJh+6kvblol6dDmY5Kdn/XH fJ4umBpGDaWBiY5ijFoQNRUi1YuubqawP/dw5GRkjVEN/DCV8PT7K4F71Fx9VD+kD2Wx0Wkt8bRP AsRQ1yKAOLyN7tmMengFomLmU8YL4999cbeRSQHVQCJxFdgcO9uNYbeRd2HzKHVwhxQJBIyjZLmy ryUKt9XagP11XYeLywqhTG8fHEZqcAK7ImN+qZqaMWviIaos9wuwVAnB35W/ycPoeBAf34sB4cnR 34HhVci31YLOfUSifGC3AA8tZLiPY1WNh+JJ/gI3JYnhcqSshav1Uiii3mF1ubnevkzl0nFJWLoo NH9isC4RSpeta2s3upkPp6x3NjYU/cFWalKZ5VS/HnYEqQDcv3DEPCNvJOGyADb45KJyN1F4j0+O 395WdCeVUnTVWKS7KvhGaUiqIrakfdGTj+Sx0C803VDIL2bUAaLcX+xgJQ7oGnKJyK+PNHd1u0BZ FOyiJIUi9lZce8RfBXH7a12RMow22hvr1xT4MQ+K5qEkszgTUDBR2VngLvOoBLn4jTPIEDlI7IoB AUGrDW3rnp3Duxpu/CGTWzcZ0p8671CpdNVpRFa4cLkgzUydfwuthHVae9TzNv6lXkqU1LPg0tbr PbDXziVmn/eKp7N5bc2o2wnFl5ka3WuJacg6A0uKrxZLmWfBIYcLeMVoU7xlgsjbKNdguAXs/2Ac 7l29xGf4lsR3bCYMOchexGXyoHSv1Yj9rMzXfYTsoL7jbKNKk+EiPI7EUBSxiBSRS5IUvO71c4jg PZAVJHKm6rbGr+4SnrVXSvhUo+lf60AfyoOdhL/sB5SqXE49xN4RAT8ayPedLqtKG752NMp3LCNj 5MBOwNcFkKm7j7cR1ubR/d5exZrUrpemBHuEYNpSruYAoftxRqybM3ppvi4n1Ppi0NkqOCuLxW+R xxHI7ChHdr5VDQHFvxxVezdShd6UzdWfCl7t+zjaqjP+/dSFhKRh2NyLgL0n+WVefZRMPCJj+5eF 2Ta/4rKlQYWohnsYd3LRih2CfIx5R3bUHkRChNpsmVcMpic1dvo+z2fWuiBp013NU3yd6uvc0vcK 1d4bYBiaXEOZ3hXXEU2Krf9wWX9dyL5vZcpL8Pm/OQRA2l6ARaDMLDX1LJDZIsz0j/WoRVS8VXVc l7dvWtQChqeFOGDMKq8mkkLw/kBT7jmo9M/LHyviMLbgQbCUoGyAjW3TAWUCkOpDNnnBc6xGO0do WDmNzS6X8kUQkLFC++mtrTtTLwMEpA0DpxYVe25qRxRm8rTwZTJQN2G5F5XG0Pma0x/Jr5l+32YD Vm7KC2diUd+nbmxDqw9CMYeWiheXo9eOp9FURoopZDNGb+m2dZqiK4npIoL/n7gHcbPEy8ebGErT Jzkuht1ixYfr2M/oiKW9rzdhsvhPvt3Rjn7aEGkgDm45qMR6prQgGhFYxFfnaVc7Alyctx5yJqUr AEbt/Bc0scRVOUTAv3HWZBx2szyFokuYeDWJ67x4zuWBzqwTDjLEJb0dOrlqb07KPL23zfxY92wo gMLp4lPNSwExV5j3ckXMIhc2bF9Hc4lUCa54lCckdkHNedS2JbQ0ipx+9gM+AntoWT+URIV0WKc0 1RVa6iqqRywLNfXwgVCQB+gEPuUyZLaO4J9//i+TQRmgAnefrVhoxVYshtKarVq2FoHSfYvn3EVT WyTEFXiN+SwiKcmozHfQY1f+RTbMcXA/ndwdsH0sliB31X4J4OsVeKFjpgRWcWPhU/wCF5Z+bhIY bLMi9FJgpVVxyb2kAq/jc+gbB6bb90e8i9ECQoEWRl/0p/fAk5RYLuOJDHPCFY4buTmaFSWd7Gcz exGG/A6tDmpVl8ipBaL0QwH3h05gtH7gqOF+LyNS5KSecN8/zCvU1BsgHijMmNsNSMnv1zy08BRe 5fRNd97UpgsNrNUxCkVD89xGfuiMJUNpLefJa7B2Q5AXMDohDd7XNPYDTui57VQ1yE72AW8H8C5e kVipFITWpKO0RBFUa9PE5qHFvrSFlJOwu7YYNLmtzmvFFn/HCKNuxWDSmsYjSxgb78LeidLaKMrD TQRHRJz4IGBDrR7uzKn8yO9Q0ZTXzVm2sdqLQfzjRdiPtlDoT6n0X/TD9GGa1JVywOTW42CJzaY/ OEH7CdOcYly6NCxKl6ZqS12NRnreW7PzM0/oKN3hVgCGcpIciaTmX5V6HNti9U3HbLCKSx4POiBT ZCmHc7H7w9EMuejM2vPY9jUvE+7HmQKbmeNgpyIKpH9RzigksekTWRKCWnsz59wir6IRad/XTWCK OqBjct6LDeukBjwyzMx3949rzlhdsVneSmC7b2D9/FCUYYx31d0qlG8Ms1mq/5MZpiTOx9KBY4eX Trg3In+vsZMUt0FPN3MozGwtmSHnuMyo/Oazuib3pDDW9HNMYNOI8xs6cQjouGRBm5heMDDrOa5c 9UXN2HtxucB/oQRXd6otbZIPNebs0S7aEaveMxLjAtC05ybrcQ6NaQZ2sBLwrapYn7nBJWW3kJci tGQ3PUO/7DdxTWBC3bAlXuEaWIJ2erj0d7tuPiQ2b7rkzrCXnexk+b5vYRrPOxu+7yJtCZ+Ai3ou K/nOIfWznBe4gItrzQK0tISextcF0QBe17Y8VS3oI5zYcPB3kYywqSsRqdd/kvkGXYbIp0ZaZY9m ClpsYMOJ5/ZigH5xUPircIqlAQVhQ6r/SoTwNRCve4QQ+hJGwa2aLQCCHywcXpOckpZX+e13qL0N DFwGoNx4mZW6pvZUBCYCx074jMEp1J/CzoMYe5tz24Id3qqSee9VTl6jlfv6MqfRuhsaBlUy9rV2 p/vpzehFJf6cQQMCEoi28I0WbX4XRbMUeGAvJlNXS89JQpqRf4SZaWB3dscqx644IHM1gvDeKVwD 5RmdzD/SkHojJBzz96943OB/pcsCDPYnAmhEHy7BZ1CV5xwGQ57tJ4/Wf61C+aHKyBTKeL1XMTWn aEz40PGHnMdtmw7o4Q5LP9Q7eH3ZymGjSdIhKtWwRYix6Ax0Ui7qLJL29G9+m5OvJQBxyLUODffH a8uO0Mk7fvjtbQHgbA/+ojkUDyDAIY4YDPzyxAT5qAmF9C+pOrw3P6liSwWKT4ieXOLCZ2UI4NTe MNyEWbEtrx79ShGgGCcO49KJ4JdCfacAWRjhUh53u2Z/CtCDUr7B/VAS+/j79hU6jn/5KEyxwJ3D XLa5/dEx1gSxEGRr9JwZxkYlvgmASwVkCJkKcoEP3SSmU8yD66N2mYDpkCIIUYh36cE+guPsvs0v Z+v+iA0S9cloV3YyHqaWQ+DtOtypevVQWv2L8W3BN3L0YDUUMOnSyTBW+8uxliJTqeaCjJ/8xM8i 6oEbZ2rZ0fNsYjZLVMk0ZaORIeecVqVbjXKkJ0EjBCDlZXjn/FF1/BHn29J5yWRNI0SiLoBr8P7C 4xTTWtpcZCUQY8cNB1d0aycxn8nlQHByH+jFaQb2AD8PphqSohyIzimrNcnjulJ6VFXk72lYVfqp 5H27wV6DNBJ4OAKLEwoL4eOtPg7LvdajuX1lW9sSslMH7FwXD5pV+sV6kLuc11dW1u/zRgH3TEDk 7RY+TtFTuJRSXC0jOdcYNoF/3IfSMxc3owFXG07jxQxaf0dOo2LvfSoHghrzKG2mbkEJOIZSGbLM E/ahG/YpLwxm0lpf8caTKUlMyKFXajV7rwZ4fWR8WIke6NEX0AbW3EAC0PUM6v3LKmTas/vBJN1A 0ANY/tqqhXyVwSg3bAb6crPaIEFDaAksl5JlF/CuISBabkzbrkupmzvtg5ZGq2JNK0vpTrB6ZbIe rr7gFe8Eycqb0wk5u6OHU033A9kjJAK6k6RxkDpXfpehmh4ph1IPf98Tbqp4hsFHCOxoA9JxpMSX AYXFnT9q5dxtnvHNC6c4YSfs06wLNlaGL+rILwngssdQZ7Rfj0LdSGn1FrS8EzaUu98qHAL/7sXK ewpSaXyShhUPQ2J6yByAMifQKSAqLtbCWVg2kAoeekqn1yI913H/SB/6BBRcNJK4r40UdL5a4anG Y+Dg4dzKV1IRwOcNOmiUvhTlPJ1+4I3cIJQYn/OKfZR9dNYsTcD0QIMe5VcW5m52hT2Xnw2JFPit U5GaQzuvNVXi1LRZ61S3KeZfU+ICSMUVR2GyQ4w3qGmgWbxtpWyRPC7dBh4Lqm8xR/dAQyGbPsOh qwAEfv0EK6Weaj/ZE7nKjBujNcUGpCv1kwt1hOXfv4rJClKPzz6t97iK2t9eB+/pOCbVBtEoOwxr NcJ109umyA2xjoR1JvVVkljNivDsHpzQT+lR3URGmbayhOKFMRiMzE4x4ZRUQ5K2aXj47DBmTbNw WSRpmypY/9lc3t8Iq3Pp/7zXwi4UmeD1u7l20PEbuKghi6zaR35mcAHzuKE/scZNjnJmN1+rquYZ A9g3qw0TqeR7PEjXDYAP+BrLcZNyzYTvcp5DULS5WbYqNctODdgsbvlrJyWQRmEnZ8kVWGdcdL// IpeNOhxSxQL5sJiK/RwlHX0g/AdxsRAEoEr2mTX5UCv1l0O3Gd6rS8khNFveP8g4YXCbB80rvmKW uJKGfpENPhgZd4rydmtDeezo51ov0a2vEkiBkfi9+fE1pOW8LaZcO1hVgpPtO89YAlC5tUqMLzdN jqQtd+mD3IHcGG7aALOGacvEfT+osXQbKCcgJ+LFZYEWyO3tP6gTgNLHAty6E2BwURUYfLGZYuh7 CIRMuZoC94AL/PXaMM3X5jZeNiWoQZpvfKhZAdx2+GZ50wam0G0g1JFbNADGuM5SCeU45J1af8Bb cqG0p211MuIoujvL6Tx/db31wvLHRGEOMOEc6zzwqVHuP0LoTMml0apZHsIpkIOUF/X6n4Z7oMv6 KUTWLxoVhlyGywPYSXt6oHIW55celH2WZ6cOM4JCVPtS5ocZZyE5t8wHEh7h8v63fSblm+ra/1np xKIL6rznLEkRYcXHtQ1b3aplWV0NL+cXxAoGghkoz0wM75DpYOPXKhPIJ3N1nvyKD0qXd+3PiIq7 EDv+GrnlnNENhwz6YwHGa8eYuODz54wcTeSZbdtv+5R5ML1efvaRuErP4R6boEFLTsH+jkV7N/F/ K0BnCOpEQO5XN5stozHmpWOLFsHun03cP7Md4nuaEMQTHlO51o2/NBxBsSDJXCqiJUFHUYcSGpfe p4b4eFokqSS6ekpSgMIYDMyxTA++tJOFPbZH2a7BOCMiP67aDUwnFU9nZuvkkw8WaQiOvaRu3uUL u5BMt7RN+cd6hOxZOCAO7SEpZ3CzUU3E8pxNJQAGEyGOYFLm1aKibPXwxMiMlDJ+mXPQTKJ+YZSg x71oIVelAQXWve9A1JADi+qpBdWqdzQ1Lf2/JMByE+qaisLWctSHoHyhtLU6YFaCMTKPJyhg9nl7 WHFBQm27VmfCXUleiLkDwIS0CYTtmLlCWAH3UWOtPoe/KQ6uCFpK7NuGvRljVyf5BakQTcnwM+BO fTzzkleTS8RT5Qbm2B1dwz1+EB2TsJMzf0r2ZtwgH8aUbcvALQqJGUYhEk9Zl/6cNb+JivHLFQF1 viUQQ14qPJH0kmuVwT65o55UOzv/Kuu9NlwQpHHuvQWiKy8bdehGHqSLPCY5wvbwQrwnpkwAZgpS 190fyRBTkd8Kl5B09gQWxDRmmL/6N4qxD4a4QuOXNneosYUCWyfhqxAvqoQ3zgJSvYZ50owNP+j7 Liia/p6S6EVbeUZci0xum6568FNxz/1Fro4ZPIXKd6BWecJWZ03fQBF4+XbfBSPicSjYjOnw8wEE qAgD8evgTq3vwlf4h+mqohKv8GcpDgDaxRciWitqiRMOTcVI6W4yYXwUUqKBv9KaOjdPuvSI3DPx vBao4qLTJqRN4FBv3oHJ6AK83+B6Li//6aWvl5/JfeUo+l/HOnoyIVdHXSMd5uHJiKEEqiUXTA8I 3PxDqhJ1mGGjW+UHTfckQJ5pfXP9RqBoZvfNrApgN8T03PQ7nqxYTlUYHyMrPJMpbRbn8Am6zWqz 278hdQDJ8fHtOaAhWORqQlRQXbIctJAhWkL/9K0b896VQFTK6BJi6VmGW/HvoZObyQtNExvUUqlW HjjLmDT4tahqqWEEKQKwuqPGBIhE9DfJvS5mOY2P3Ue7WcoA0PnmQ83OBpb39+rdY/V70RRl7H26 DnqHVTaOSYZ5s2sOcGUlO7YJ0bFSlGdxUz6zmkH4iqRhEalyn5WVyOz2tWHccQ7NvVp+DIgBpl92 g3hSVvzyN/Aw5JOIViL1IqueU3edMTgLYNKtDC3TPVKb2Xr0eNSv96ZSUIbhyxWSsXp368wkn31m KPErBqICWjFkxDnMqLH9ow8Qye1NkLiPf5oc7Jf9oyal2mhxKSIi7m28FKIu9z9uJvOi4RyQ+cuJ vH48jCbWmTQ4DLK+9pRSDsDnZduEmqcxlZZLpPSWQ5+eUfawR3yBZvNgO3zZ7cvG7DoDyQTROGsT nQdIrsTQLPdpd2OFDttyRMJayuAxTB/q7BAme+dSehR54Ahe5GI3CEcR+ATPr5ypNmLCvLwJ/uqD TCHYun66L0HPRqRtRQEctkqlfczxGLm1cBP8dIbNqD5yFjCWvUbuB8Oi03tWdyFzeyDQhA2/AsXi lL0CEswNe+zjDTEdns5Bt3Dd3vsjjTrGKyQdl88C/XqEfJ2xLc8ogMcRJFK4pPqJY6uNRKdPuea/ wVZ8unVb3GwLeKQ1OAd1B5Oyt9F8fRaGJJ1wSYO3EO0OVMOyJjgqf+oCefIvY3uZ+QrpxXiKnQDl nPCNcPNNTPNlv6InoE76conFmyN94xKUKdwkmKPcmuI00H0/nYDCIFVTAhFlA7WF5ZtWUH8/Z1fW EE35DL0tR4oPgZhTBZin9YC1cHJR1Cey6KbwBjEvkgF3rjmuOXg8PLv788oectau9TC1ccXoQDxe M6z71//K/OWNuDVpEUJbY9+5Poe3tnCVNVT9wMTc3H5tJCq0lFIQos/q7xYCMXSw73KjVvl1a91j eY4yM3bEXLdjJSd1s3xUqLNEdydvOH+3v37LZDnk8HJXd2FcJY/rcU6uw2ABJx62+3CnX46M/nkz 7voM81zeRqIB5O4CLkSMtZMTgn/QmBa+GiglZ14qKODBkVuRHFQHZqlFI9reP/zJlobqHRh3HxGS BFDUQoPmHZfSSCTX+NG6Sd870LWoioQWK8qsK+y/aJJCfVm2bC+3QhXbTopLv2WxTHEpuM8cLMU+ qsQXFLwp9ts2pM6Pzsfu4FZ6p1azVYSBNjUYwIt4oQ0pqAi9ikFW35RT70PFQcU8k0IdlCC1hzY/ NH6+KZlhL/RR/0CXD5x/SKnu+y1bSllsVKO77dB/2i7F6gk9L7v+qRRkDNMLng+ZP3CoK73pkpzI L8VWE5W5KTYHjqGc6u+4fUdS5NgDRGOdzg3kuL/zXvjoZuBaxakdz8n79/5NDq2Ptblag/LfGVLH lx4sGTzIn/FfxUdUKELDrbpYhuu5bJ68Zex6ZpXEn3IFXiSAfrpuXiYPHdCP+7Nog6OH2NUyEJqw U50oGGy21CBOMw7QHxMvw13bFmP9jA6+r1/GvNl28jikwzINlP2Br8LnPAWrUKRhF4lxl5mwBlos ablmGvOrDDGu+/1t6sVWtmSGMoq3xyni51bD6zjDAmmwp9DlBEKNIiwvu5GuRuMYSWvHFPiyon8N qPT+3Nqvd0e0SW1BNsNB1QAhRmxmeH1bD6yP92PLEy4tLa2AwZvycWlnycWh1LzAw34Wu8LNjlic /FN6la4fPvHha9nbyDwArafeqqmrYdcDl8RP7KTytOo3mq7s4ebypyZsTDFkTHtKtaWmfGU9julc NZzT1Z3QfFtNuB+Uxt51N+RVqR3RS480SuExGM7kgRYuQGvXFR8mx6GJTy1sbqUwq8qzeC/CHZEM G6eurnT79MwaFhfp0ypwA01p8Xn0oCs2lmCEJ9CbrdMO0MvLg7NTRZwsy/qJRQinemkguyroPPng pzOMxnjHMPZDlngL1F4zzuhLMV6pmJJjIM9f+Zi2nMfdCllCB2nA+kizpyZOF23osTaqarxzp5kk O1Q/92QishiCv6LPBbpUSiJVcE6AAkmlnkWSVTwUCJbiWCht52ijoM+6pak3ONb7zWbYkx01HcEQ t0Lnwa0MFPKtYA5R3zDZgnP+YyhU5NMLj51sOdn3cEyLgaVeTtTMko/gKqm5B4HSiy73TTx9Zxqt 1imFEdYHUw/qszas4uTivqbCrk3O5DWZ+DGbkkEEE9mvvpIdAhNWI5FI8TS3fiu5g6vQy4yzDwlD 1a1VpbyJzjmnIfygACJKzWaibwxvBeZ8kOx0xLXAPQNtDlV7AC0bIylLY4p9XhnnkY8h9b96o6Mf b/YSHcaGpe62OFyI7eaF9RGh1jzcfcKEkTp1+0kyfRTjhjHfsXHUjXBdY9/Cia7ZI4UNtC0+s+UL kLtdPaq4+SO1JOf/i3tdVVMo2wYw/5QCEVGxwPJa00b3uOOgDkbGAOPEearrtx8+re+AwViQAuGi zMYupuiBUAzGNGEO/e8yTQb7nHQYnAyRlK/NHvrBf/R5Kar0R5IiPB4xdNvXpG15EOb/JmVWyAj3 iSoGoVVvi6JyyUZbOtsQZPA0Vfdg6tspQh9rynjFU0aHY8PKWrFPaXf8vGJ4WUey6Dl7sEvJYmtA 0yTREcvePmzWBExOORiW/mClc9gwnd+SBqN5DcCcv2OB64rof04a1NEo0gAgUkpARWRJ0ysF6BAY mkZGpxBAW0Hu2OG7kh/ChDU1k7x6CjFtS9MvtFJgVySPaEtiz1zquJcSZS7XrkGqR2uMpnJAktnv H1jCT6houjerVTLCi8mEdXrOIBJXHp4cUItJX4vI5itovtJqkHkl2d4KQNjCSzMb1RlhSFxbP0+A lz3Ia4MMFavcLKjYCg4Bb5lLOFqxWGg5GUXsm8AihZMumG5kFo4/Z/xSQpYtvaKm3PI5EY/hR7Gd CM3BMCY6Lp65jEuwa800Bhl2Ln0VTNdgo1dfshrVpM7OniYuJlTMahMq6SbTwFRwRzXef7KvJTUC JP2mpM5z0pTo7o1sxLEK4aMUb1et4MxCQkiw+BDzCEcrf2LRyx/HEBtb2XbdyvIBJMzYliu8WcS2 QsR1H9GssOSecP+8UTQ+E9xEF04+rCYCFbR4w0fiGOrvnPewN9ChaFqGXNwRpRdvzwATy856Iz17 DX3X7TytlrwIYUZwTicJ8aBbqr4mBODISb27P3nlCLGZoKUJnB5ZZKMxtkYhkunsN7ufEqWHdcB8 JJM1qPwccD+8vFStcyxaI+Qrc1i+VG+LKTOsZDT5n6XcjVICbpenTVEnPH1uP1uRNHqJiGcbTh/K tuC28vX9HE5cKL99puT9bSditmiiNBJsN/WdSocyNVQ2/AWKdONy4iWd+T1Wk9y0BVdlcFSeH9pO tadEkO/4cF0YxgRt/1UMMB/ZehK4RsJyACOJWXFbEdViUoxRNcdtvFzzEFNpvBdvaryZIOa6SItb CPyYw7nrCUX0UCX7fM/IGvbbfhasckqlPtYqMtS5ap9zjnmJSuv+7UBv6EEFR/u6Tx0SaTW2YLqI +fW3oQlSPSXrDg8eq1rJbF+MGnwO1VsNZ+Apgj2rERclM3+bhxoeKGR8hKyt4a/qCg12zPE8Ohzc ma5MZ1sxCzCaXlytgnwXQtTlwf1coU8N4591Typa3E1TQPoSbCDerStT3dcB3B0gfqyaJOEnbSJ3 YAUiTWAwAdcl2MTJGscbvWqkIPo3D8sT7unc2DwU+Q+UftIrw2+bIFPPBl2aiKvSNX9HqYAl8L95 M2r+NGwdCjA6pP4ZnghIugrFde4jxEzdO3uT+wkSlVkhy11Jt9rm/Dq63bC6Ed39a5qukVitUvem Sd0kjxypaAyIBAYrwEhu/g0h83GyDFsGvrl7XEsk5hRWeBMtnfp0Az0Lf5pz87H5TFKeL3Fv1f33 ea8/pgjBrgBrG8Al9YQawtQnu/hwyVGho/lEkgcWtdGgCYBXSs5C9YygERPzUABoGZpi590/cbrf 8IM4i4xdkn6tasId/o5nhRir/wm1uaq0r8Nvlal1Ce+1edtcZrCcPb7ZrTneFJCl1hXSREvCFiLW HhI/MiYKWcG6WnrvPKdl4TRfaB3asLK+hupDy+gRE09+72dXKjJP9xB0AdJk5fpuLAO3hbc4uPJ4 VvL8wp1qxuwBQqDTOjWd3PUURC1ksHkbNvNXyddp34cv4LYyE0gPIAW8yrru0nM9PwNJfrkFEWkX dIL6kdV2WBusV+vgjKXrzfRhU8oXyIHmk6iGIUF0DfC94qqgbDFRijIWmO4q/3lX0nlXDwaA9BOx 2GY8rVmifcNN9XYlRNRDtkniXz5mWlYTDliKPS58hsbSY6aU4334/AL3DdGPQ2b/gUMeY6XnMeGi qOFSEfFQqJibU3UlsAm/+Uh+2cu5SFUy4N8/fBlL2m3StVg7jH6eGxRUt7y8ffIYhMwiJ8zEgG+r phzEDQwX2th5UkRgHLEd5v0Ru61mGzzj4IiurC9qPCzMl+7Y3cqg+IrBhBnMMKjSWf5eYeWEjn9y +vyI39ampBf85jOrLEvj+uIqrdltqYtrsYJWp8WupYNzXOoIE6nJCv2HNj7qCnz5f2jYyum3O8gM wGUcX6tWasVYz0lprBMn52urLexv1Vl5p0zpZc3s5qmjlwralHYycKDHZPB3g8LfFbIvNyLB7YhN D3p88mjawvLjsWPhmGLVekU/4ZaZZBST5Ce7JCV0oAC3wEQ2DXfgfh+f6i65GL/Ywu7SReZjuLdB zSIQjnyHoo88NzHfHyNp5g+LD4z9THEy3txEiYwg2DgEpsxpzLtjNKcA2zkZk3V1XFCyKPlZiU2m 7u8q71jXizxja7x8Gjiful87xk0S1zoK5s67LJ4K+sPkEBm7m6AQcTg7ve1CKLiHAwkRc9ICNJRr Oz/k6ntJ5NrbYVJDZhOfygtZHjTZHidI4QeJHYzsBF0EqW8ADSg794b7yMmJHwhA+6N0o+ipnBaI eie2doYU1mCWCJ0uZba5/IZ30Sl7tEXKjp9d/IQlVPpPwCQyjOc5+DqKJw9S57tEErqbk0xdlsYH l7eXKpF1Srt/rBVdOuKyydwSB+L4u8Of261Q6Ea7wu6v4HoWlWdNqNmoLUvP/HGGuBo5YuXOQsGv oTUNhlyJBZzJpZrFIM5xNYSq+o4tkiDxC29uiynzUc4DkSBL6k5TNl7YLHX5mVkla2xuyza2Fc58 79ViXscCEdj8Og6UOLDOtzq9mgiL5MPJGEHIPvP14DN/vhfycc8fn6R0DS4IX4WymAXn5dSj7Yw2 i7juaYh7bTrqVtRCwI3InR8Okgt86vyiAaSNIKm0bX832cp03C8SnHRWv2nM0+s6ggN0I9xNcBap aqXg7zmt//odwPB4orzyqNzdUINHGmeb7nNp5FLTxOHmorWMemtUm9iGKy9PN6wOiFGppYq5PdCk pMhY6vmeQogB1Xan5htkYIpnf9VXk3JbZoHjkK3zop/Zx7g3SmcshVl5dFK9158eDVceYvoRdt/r MHWH8Iq9trkYvhHk837uBJ4bUyetaNCVwF5JUH2YTdrlOMBnEtsyOSmpkFiQep9+bM2JrLONo00Q sqtEFR0xev0Bzol23R+xvHJw0ITUhF0E7nfGzQduKBcQHw8/0ljjMsOJaIEPvX2PHV/Qv4BRdDKC CTh1ZoHW/o0cIWT9GIiunFNPmKC39gxqi5K3brNXbgGcHlG7Ow5AoXcYKT4s0fq43UszsLX0dyM4 FickNUJRzIKd0Z9evBMzr7p5gPXRQjnPhhKHFXhh0t0Lcmop3zXVp06xXNMbLHjAd1o/pQEKvz8n ahn5FjFUK5IUpF9Mm19R95EEwoTqI54KZzYmYK86vC0f8PnQ4Old2InGDkpTc8xqBzoqa5HB0CmG qFUwpiFcOi9DDiAQB8G/AKbUzQKpvgmXAlKPrBY/pWf9C1CiHY3ldxkASFKAYuFp+yn1/RpfA7Sp fLSqezB7mGe5nnVJt67zIxD+b+g3JuLutY61VqdjPPJ2qerx5vffGh40MDBTgefWlzLVTr0mRzlj R3eYC8XMqU95Q9lB98sssc3zlLMgh4L7zaXLe0CB5y0qjAiQpNCBM2p+sTZvvVRl0g75P8foTKeP AKyqr3aTJdM6t5yIOKvm9CFiDUTuVftBdn5z7CgHdE3qPUGbyuDOmixfJPGdU6sKMIm6UJL1lwQS urMtFUq51NUqVO9s+jUHF/0Xz60srXc6q/eDifa8NrogGQCYWpEvxJpUVrnEKul1BBrUvME79bb5 XpLqyGtTD2RKNo8b1CzyF9gcSx7F+dVSTDRHBkV9D8CTZQzyX6cArbgp7+OzmsZvrCCD2xkfCr5F QCNZ/WP2Rj3lnhR5YoJwXfQEOkXCMARGpCmfaLgmgCQh3o0o5D2WbfKiOOjX9FxzalD9D6tauSal l8WZPr844ZwTsz/aGnMk21Tk/ezNOw0bSjW4H/VRt4X5HCRqbdriqgQ5ao5nCMp6Wn5iaEt7QiuM CMw5a6xEdJE2h5UhVsU/DhCEoMiMwBCH1MfHrEqjT7mwnhpOp2mTXlc/pR6jykOh33bPdn0e2c1S VWbtR60MKAnZUgqeGEYDJDacbV6D4cNiD3dWn8O82s54edcPRgX6YRHxXPjQ+1FSkDEhLVe+B7Fc PVFt/r3AxjTDgO74vwlc1TWjbrMIA/1eC3g4JGLDVHdPioLGA4d2IE0Wp7KcXNQEuUtCaVpvEFPS Ig37/Rkzk8udQOLvKpZdp6FuW8dDhFI4G6VPstWN/SuOHEuwfdLo1ls0qBtfjzLjzaEeaQU4aokz f1N2yAFjRGODRjIUvLrQ8tlqYgY79rjYFOlEcKz1yCwF4/nDysgFL7/QgYiwtvP5ieBjAvfvIhtr kCnduZk2bIvN6dupp2T/wgwOUiMDHcBiFYw5LlPX8DArAjS4b8ppop7xb3xG7rDCGon22+GOD+EI ai12biRZu/FD//mfQM6FbowTfor6oRd8FAC7FuVIkHcOhdJKgs59gI1sGk8v/Uw8iCShtNj+T5Ki DuUMvBXG5VEhGsKBTFa7j3v3+5GFWfmlzgqZ98IW5s39tA265z32Vch/7+FvDwo9qWSHSDnFwn3/ 8ZKSlEIbvc8LDu1Pdep42dp+5+xP2q//CnqgrhJ3ANZYEbKHRVb9ZVQIzm7ktopUFfe+xkaKq3fW 1kD4CMSoZ9Ap9xoqtLw/gRLgBYx3uDl/pCuPoqqFZiovuenXkrJIYNmE3+gvjR87AYhwZhQiZ4YD 7UpH1KlIkpxRYAbuR4pnHVTez0Ppe/2jE+mkOd4NXpbVsCvUCea9o6BMRCZkh6aSat1fPpl6hy+N g0iJ3Zvhp6avZ/i05X5/+7CQZwWzAVV+c1VH7v3l//ok6chR6w+H6dlhrHNZsiTwwNs1RzrqobBG fsK4rcqJ+Rgv22a4Luo54Ul2XvwayJpvLkbbrkeBjrS7XT4FFluORd1J0EH2wg9rPyMNvRi8GZ5M Mcq9/qT5J1Sq79Z3I1CPumFdJts2c1IsJWsicUCyshguVQNmdofwSDvyD89ssA96Q7yRpB3DRRj7 6c+KjCS3/kcP1S1AVAuCA+MHAqBxgYmZJxY//3hXI8xjDX8f0RfY/6Hl9Ur6tjcq8Jqxo5utRvV/ EeWI3qwXBC3oIZ6VtqgTDpbpzcy6rhQHcz8S48P+S3Qa8HrlllzuVm0ybx9LKjuBzlBqfxdWfE+K f5pMNO5a2x3p2m0lQaqHBFU4uT6JV98tWNL1+3/GK+5QXVaceBFlN/TY/muXLiPH47M1Ym54ls0W wBPYBZc04iBJVn2/2AjlFq+dXNcICV60jnc7SKt2OU6Wl04SuQki8mihM4BsS9Ic4SUwiIa4SU09 PRhYilCD5sTdie8FCppdvISrwrGrkpEeNyl7RpYWqwEgLxn7/o0G3WQ3/npEEgWVHA8/JJZCB5/l zEnk8JrS+uukXJlx0gcYGTCAo2GS+6hicAknb0RjsR0gG07uhaCQy3CxtGnBOx6ZZxVcYxgveCPY 9zVCVHzQ7s2brt5KMt8lAoixQCRgrfJASSxISDKK2DEFeIS1SuTi6qncYKYvjdbK5uYJme7vfou0 gmR35EMz6qQb6aeE/r576X5YM0tXYxDglu5COhvhfx403j6ZcH9duxDITDzITvvj4gi/n2Sx6xrE C3YmRjqy2uggxnzN46iNX9X+fqjkM3+ZErXyVaH15XKYGUxH+hUfEfVfVt6eqPCBICEpuvDfe4j4 D4CMmjGwHMLdYO2E7xnZ7ksBD6YUrN28x+EUnNjrZY2ndQj5cXbFvkfjOY3LaBeLDe2HkO/Yf2GB aispI6kV4ubYKu600NAbLyoOfOKo5Um4zo+ETLJojuoZsKzC5HEhfPXGsQtpCCXYn7Fv43cb6PIc aYZjR4jhD5lPb5pJ7vHDEc/NbYPMcwfTQoxZAm6Vz8BgnrSuYnXCBnrlbMNzOo3bKxqScoNBWTU2 QbxXr8bLaBW7y2DCMpcYfhgrOorNwxSEnRjbbXC28RfMsg8GUsbzjhKlf5U/1aRYr37voUa8JvB0 kvCvYkgeCl6lTjWCB6ADyVlYFmChUBP6aYhejMzzO1ONqlPXeNqc89poayyHf+mUDGXIghBCbxK+ 2YFD/04v19C9lNvR7OLyDHTYoz3rgo4uYTskWyJJmqUdIOY+o3oZXbMLx5X5jntScin0Iyv2/WEW i1MPE17AS7+HNXh/l6CyIBKEnF4+HhhiwE/Jb2GmgK+EzsfqhK+213VrJuNx67tiZpQ061Oib+8k 1GrLZ6hw+vGSmKp9R+3ZPzOTRtf6omr5jaLd5Qgxy0hPGzQ8Xy3rv/1+/vTk7Kyinvoax+qwXZ0G H4W5JYmxbQyuhzQzZpz5LdFPoBJKLyTWuu0l0NO7r5SOoKXVeXRIBbERzfUJbpHiO8getT43UdHE maL8chwpOLZbV5OZRKJp/9MldKmUXD6RiYGR+IdCCb+Jc7jarJT+1CLf6fFAxRLyDyiFm2+7OV6G gcpS897A7+QmBBzWiErrlSajoBrnKylLjD7LW9BIccGty1BJu9CmV/d9XYRW2D6NV0eSEpnUh2mX t0itcnI7FuU5ah7o2CDThZfnpd5xQo6uKraQp9BmXaJza+DN0t2YddWWCTrqVIwakiWTOMQJyRCe BnV8AU7/e1jegO7Clm4dmisvtrkQOkUINy3f0QgIwF9/c2zGWnyvi3oWMg1cuwol9muPRgFZeEe9 EYABmfkcYniRFVdRPnyLFTjriHeT6GkTv0GYsTba97HvrFTIAGfhqr14xVrpGQIdpBcVmxYQjcsZ v5nH+YiH1uGLwYrSmeBpHCS3nAv4QAq19O76HMBpv2E7EF1Yoz0vFnZ52diaO1QV4mpIXuIdAYh8 BmGycT31cPLed86FRP5VUqO0eBFUfMqoua4eoVSN8Vcn6rrDu61J2tHdVWrsQH3TZy/cJ+VO0eQ+ TMDoU/HV50SdBZixBBAfQdDg/V2+6FvxQGP6Gkepq5UNmce0Cfd++nZSaJ7Gs1D9CyeGLGjSTm8s C+pYsZzKNuf3l1TWl3tIs1rumLgyRZdD5k4OTebB1WhLTOZ0QCZlN24KFC8SYqrFXQgaSIqglOMF uhqddJEEND0Nl1nQeLDkEawLu4qA3shSxbEunhXjUJnTGhSizjEvwOjItIET6qh5aNKP45L/bLgv 6kVzTFWdT2jOX2AEtRGO0FRLx6C85dc4SkAeV7gXTkUp3EnoHWetrdvWYcd8nIHWuto4CeVa1Rat aYlDnE9I289PPujpfBwDM3V+ofggvxeWT80HKxKS/rPFEtqzyp9OdlUA261qaj3IXcWGr+QLxPof wo1zAN4YKsttria7dgOFospgFJ6ZRvozv+FdCo6TKi6thC9Ib2aMfuY4IaBiqM+kykhh2WY+53C1 kfgfhW3i1Ojk0u4NeWGRCJbVYj/JYRzuIk8vX21m6NBrg9KFYor4XgWJSTg0FV9D2y90hkK8uPTl Tel9lN/eGK5hu2dA62WES370p7p+lmTmiAVTIKeYK1wDef/0nDpzmPpsVriMl1wpYoM5yLH7yTPS XNBkEiAwv5e7nGQZYF+3mlXjouacMxsGO6G5juZrIwYCbQFAiIELYoJhPtC5T4GDWaVIGWhJlJLr 2ppXhLHeLYsqogdpsHg1FOXcErRQcE9gnLCLwW8htTuuV39aMvGaAwoD0EPd2aOpHMIOFJf6srIs mAOsS4IVk7HkSGftOrHM2jRRUZykCGP5L9T9SwS79XdRu8n7S9uHIwD8e+MBL0gcdAWlFj9HitdH AubcU4WmAShSau36cFmVpjZAChopykY7kMLF6B3/uJbzR+RxTHG3CafsrRBxdeH0RHLUMHY8MzZi SI7jWdaJZMs6Hw6hS7mrz6sh6c7x91/Ljh433UzfHZ1VmAwxXeKZ+v4PPjJm28R7jL8GeTWurZ+K yBZwkGRqFsL1FO9QVS64jTit82L2nBLE7lZu5jqitVAcWtgpmYRGNgPTSG4TFO2QhQXuSB9QJawI Mp/0/NN5GQHqWbfx3xtHWMSLT7JJTL67DvxWmwoa3V01J0DSZvRAqyBzCJxUm98KkcNjAnRdu/iL 0pXD9H8CoHIync15V+YsA1NzNIsIu1itBrJEN2qy3izrztbYNZB9ePpDplaVhCiu/2f77Yc/USoM n45+1QbX2mb8hVHTIkNN26YA8ssifj3tNn9FSICTi5ity+IiaMSmM0F5dKn8WNmSiVK1sBsV53KJ tLzVkcT0cuUCfqEiY85gm8Vef9leGsp3W7xZe07fub+C2CN7yOdS0vC7hFlWtXwtcc+S8CVctepO Egfz9eC4YecXPvr77U+UnAZWeFwux4QFkYyl+Ui1oayeeqk1MYKf1T2HbkBjSuJ7XJTZuz8CpWmI uF+f+NREPt7Q7Cic0wZqR71XEA6U0xQBrfFQHhDJpCGo99XDNVDI7avVFzTLyetjgiWtYboQop7d rkQzfH6qXWpjARoQPgwBEnj6RDqF7NPcFS5EOUY9EWpxA/l47SICzcsuh91B95bowW0BOa+vm+6o RBh4geSJTQ1e3pavDCv3SFmyldFEfbp/4K8csz2CKDEvOG8DfGvueXGMPdWOBVV4QOLCk7qF11f3 djWqiH22WmVVlxLaph722Wm/cWLILvYKJnsn9UhrwsMeru5kQr8kxXUe42t0WKpOCnuxb+rH6aFp cuifBnEzTE/G9GYxftlqRU3bilC/1+lCFceNOdc42TGYGIiKZy1cON2A35MH72jwSpOyzh8xEOvq lnKoPIgcUY31n9cZwi+qt+g1HH5LCB+lEic8ngHxc7Yq1H0So07j1UmIrhA6ahNlR0z/xk9erVE9 ZnDVGoc2Bjorlb1kVjRd/XX3KX63/57eoSwBMWO0KWxcMQmHyxsNTaAZuQk7141KmGt91PyKp+Cy jZP36BFozIBRkbk0ES1qEMhnk8f4HX+uxyeHOvOuzqjdcK7ocl16uYuwXmbGfAeEH1AHMlT+jN2w uw5ZPHNYU5Dq4K3DOK+RrH+549hEb0thCZcuE8bw9+BSQMmsCJsqMN57dZnANizeWWrF2sEmN5Hr cCE9YN+cgmOJzPdBpnBsY77FSXB5cKHJdF8bwAI2ikDKB06tjgkn8EjwR9gSYADJ9FjenFg1NgG8 u+uen06MmUx3U8sF5rmS/mhN77y5lxG65/3cBVX/tD5Cq850mlrVmfdaazvqyngKR10CL/2Fl+Qq Q7WFWqvWZGhfbbU8TOP/U+HW/oCjQ3oKYMAOp3yFAdcoo/wAjXDvpnmNa57KhdzL7CkHMXvUscRp kKDgw/M/hbAfk5UXBveW0aaAqJcDDi0H+fD2KXCL0z4UMx+nfcGncsN5oDHUhvSrW0ULqJXYH+Ec dGR/g29+iVw3ft3CN/eRuVqifswQ5guUFc9jJbAvGmrZAKmlchbBZVopJAHdJ4hk3QbBngdtG/Yw FTRAKBTh6E0lR8Gjgrx6YF8RodEYDkEXmVXhsbpz0oMAqDJLJVd1nqKBEUDTamjQ/rmmGRO5LpF0 OUkQx6pjNYL/BqkXxopcMPxKYbTNfY6QIo1tR0JgEaY5mfSx5cjn5CX7LEPC+N09JoRPFR8FpQC2 buAsAlAgSdO8mokfMSnGj4PXChi0qIUltNpIkWMPnKEZ/6DH8yyjenUmqjmi28bdEApIhP6fXUmB W8MB4PhcHScFAsIKqSK/9NVRqoY5xY5nJZmEDq3ng1l4GQXIy3GbIzvjuckRUt8jy/qew7EdqNKc hhZyYnJpr+lqFVFTb9HQr8rLoy2lQShjKf6c4Mbv4ixVyFOrBV5YJrm+GhbgmFkMYLgod0jtu51p 9VgNt0+DF0pB/F8hpALtvGCy66SfacFU+4iiivF7ARwStERhuGPsCBVUQXP6zgVuk4RhSAQ/udNU lmOKEcv3ylJb1tPljKqelarDwzSvu51iQ6D/S0S5Va4CHT2vLvta6ITjXaO8dEADHv5IadwqtnwL nF6qNVvIWYkbhlHeogTVeFm7rLeKIDE6A8nkususaB9KLgGBN6dmUj68waFC9qoypcYeBqVbT2tA M2m7ywWofUxe1YCoI+HVx4oFCshcaI1TL2GcKQOEcnX05H3t16PTr0dUBrrDO52vY9ZUzUoi7KDb 55BG2NZUYfnpdxhhvi/i5Ff48rHJbZQ7q9zASRXlgUqfUv8YzobVhLrFRYfyRSN4gsbKI4NethKl CtbHhitimsLseI9G6a7nuvgpK4D8pbEFhA55o9cav+H2wpZKz9Tmz4cCmSjq/rsiTzeHOvQVNXg8 7fSZSIQtPtz7i0tUcbT2lVOV7LbZwN8GSm5dTa40UPyqDJ7+oyky24+xwuSuVHXcsxU10bUAEeJF ijBwM4NYRIkYoqIeg/kWIgXNmHZvFceki7y6p4zOzVjI3y5RrJebNAuT8P5DLYhFF2M1dSSO0Ivo /1phibnacXU9bUd4bi1OKonNe9EexU67/jN/Zn/y0tPnVB39K4tBCHr9ZBTP0IG/v2HDVcR2hCNg pYm0BWsDmYN1MBye6c6bU2jsw5/DHpOMJIEPrJMhpy+1TOjJvk6HomTcT4QEIuLSNdSKUwpe/yRj Gi/f0FBNyyg5HQ4BYhcBAQ5oGddkVLvB6Q0loQ4w/IJ+7iHto9BJkW2SrZ9wBjpVzP8oCTICzMzt JpAAooKYTLUd/atqgp2CgjjKDJSYgdzqpXTpuxwj2o/v0nZn/CU1Zrb3pcTv0XCGn6ETmaZqnCGP vpgpYTtS4MYrsw8LqvAYl8uftr+lVYgObhcZXGaEm2gUAD5Y0yAZzwWbiTXP1shfBBG8wF3kWij0 KD8wmzA87gF6IbAq4l4OeyaI4qmbOBZY+Zoh3JcA3O/duO+QYlwVFXoH29GEo2cTbnx+3XpuM/Sr knYwo+GOm1Zh8ITlyESB+rhBfvDOF008O33VsTsbFcmgozOQFipGRKxO1f1ELMAlS4oXzBnEO9ud cEXdGqbQN2zMSkqnbtKOxB3FPyb5NaBD7c4yOJcVA8phmzEcWZB6UFqJzTp2skp1an22zhrik39/ irPF6XJbAmpBN4VZTar4Gf/eVmxHNdHpDKo+XD66Litcfx9Ez91yxSb7LIArTI3U6neuEe/k6UbM abrF735eBwGN+deECHXOutyB14OAz+e6o9xZ89k+oI6HDooZl2x8O3gcbpjBr+voVWesg+ImZLrL lNvMKFVSz3zJxn7p2fH3X85ynOPwjoTgPbHfHBzhN2LHTgAcrb63v4608FdGTzvP3F0dpzPFODsv wI3E7VbSFckIHb7XCNupVFKdxynYnmf56YiwxXYfNNYGab+cPiMDMP0TuLvH3r3WOiEFA867ZB3Q +68nOLaE6cbzPjD414IF0xATZuH/y+4lWRGyqxiJepo4jFSJOWuxR8pJaquGJcP2IbIl9gaAKDtL hfTPxnXzliCv2ZDfKFCAfuTd2YwXN2lznWHgZR544UYULblXCWH59dZQwXs15ZQCHMFyrUU9vWGZ vR4Fd4qEFTMx31W0T5/ES8sA33qezqmhtQtWSi8x7p57jYQzFn4LJPJwCUhs4vMU5xGFafPGIP/e hTTswwLXjhTHM8TrgCUqv6BCso716lNaZs6PAON9mrYrvUk1NKXaC23hHyp8jDeeSE57r/AsUejm R5gYTitLqoPLNqnsKBMW78b1LxzYtX4RR7CkzAIyKs1/5oy0ES7ELsulFv3+IET+3urMzMl/JsMC ugLFg9IZ/PIgm42+eZIhyzkU1dU4qd7/YKRT7tbpZL27xhAyTJ3DLa4MHANCthaqTTHcN8ERNpYt hwqflnwBEBP12hLH+rrJGrG/jqrxki/evzTo37vYbc7aM3AFTLPhSuitvaryYaatviGCHWLczlhF Z7gunvt5wJQXQu+IQBcxY9uXZB0YYIKTFYplyJiJMLYZ/WAmlkpKxNMwrJYgBhcP2/UDjWvt043D /O1zBuliRT/kesgkg2uyCAgG3YUVlxAYMtBd+316QgHkIHR3oKl+909x3QBvzAhEzW7tl+0hu3Of lHAs459IYpX0VTfoIy6/KZR8A9CsTPj//5A8j9FiZbLonwnVh+PTlj2S6KamM6Vufi9wcT9SU2+q T8QHl7RXgU17J4bhkQqAUIYuYkRxOi++z2F1B6ZoGzF64ILVD3RvGInun8TI+NP6V2sIHn2xSfWa LrzEagjLkVbhigzMZWIsr4dEBx2hmEVhjGQhkwEDc6cQj0zIOpRbdlY7QRFFE3nQ4kB7WGJrRLbZ s4yOG3+JC/Yy6GJ1ZfwarY9qoWrPNc9u+eMY0GhvTzKm1zF+tFoRO7ISljSFKxvm0+bm4w69LXme G2td1DxK3iWkSPVzPGpeEyI3q7EumlzNtdGFZyROHfUPu1POF3D/PnYyZExklHBFLFaBkibebEO5 81hi8e36rBEdtQSqip9mAbJCegxSVn99Uv8AadzU1CJfrmPMazzBUKEqHBrkqtk2ocZngJE6tQ3O /QiWt0z+jQP8dGQp9o7+pFFoWQSgL6GAODAcmFwQ3/CYxDkOMgX7AWTlYUzpKMAF8L70rtrIqblA eRyG5xwOGe9/yArLgsyRPYMR+BSM2Kq1OxRi/AVaIA2ilWgxXSUWiD6CCURKCsp3Q6/I9WMleujk YtzEwqush0wbKvWpf2iCEGmzzESs8aKWBAd8uJAvPzo5bcvtpL2mgm7TRmZh1XLAd8rzxE3IRyEz o7P1EKNkn6V82nmneUk2oyi3b5fC7+0UBtzLAkocKp9Po223GVymC1OWf+SGUvkdxkBmeT3iluV4 3SXqnZJMcx6WzU+ErYOlLTvu9iN9x6sKPG+ZhQcaMjay8kuYBpr0f2+4MZ0zyiQbtSzrWE1QG8XU GwnwaB6Gck5Lamo/yBzU4veqCnkY4HH9HxDDZruo4BmfuA1qdfFK07GAqLwjzCTqcZFHIEWB1IoB OvhltpzbXvOBO70mbXU5Xvw0C8vn3ACe/bF817S3hKG76T33jrotD2Oz8bbYLia4I7JoNCJZmOtH 2YPoZe56FwnYeMz91yaYZkof51MCcouwEjXB9zxSalIx6C0lIAtoD2qYiNrLIE4Ow9/PPbIkp/6g axSAVh3moqVEhvVxkGWG8JRxpkjmcMZ4eBO+utjQiUbny19422dOo1dIE1wBlXi33mYM7HsHMTwZ C1OLaEHVRQM0+T5V5/hAvshGBeNPEvdG7kvS3IiMD3EVJ8BthZxDxXoUTbuHAWt5d4TpAUkW5xo5 I+5c1smysBDaZzt3Wg5GFZq1zgXprducfEqQUCAI4m+4eivwBrUhl/iHzVVhdXHJd26L8EmWj0ZY nptBZYqCGFzNnhm0nrDTsVQEqJZLfqf3+ndMUaCo12lnOe9s2POFyQMlAYNiGmuLTsiW4Vzr2lwI DcsR2TXB//VW9gMPv9Ck7L7eJ8udX1/f3YmvEYMP5n/mEM5esjVLPB/RuiUzmms3Xn4MwiRrhfLI +rxfkkcYhDEtXZUgmzi7/Q9T7gEktYS1U1o64B+dhDdqOxG/O5qCE+0LukqCzOlMAwDMCEsQSgvw OUMoUwaWy8LJLMvQK5PRDIBjuIVLon9ua+vNa6AUrt0kuFKiQ7ssBVvLo4e+J40FVTqq35pBvEkp aJlGgR1WIbnz2AZ6I0O7D+ciQI0qG7VAVVZdy7XrZITXsg3P8ttn4GAe2wHEBb3QW2p62YdGcFog wp01aq0lwjd862R8i1etXJR+feY4lSWohGOzKgN6EAdgvTH768PGnzOb9UDqd7+J1rmiLggKaiS4 WMokpfXDu2fYYHi8dRkqaanngPDluy42wCsehNLL2gAhbMooYCidL5uKXDKojms7luwnbsyX+Jgl XZusq6jRgCSN7hsjMUAU5SdWecVl5dSR5vlwKnQKZ0PAnKxT6By6okVmv0JSn+BPg0Q/bz9YBlxU t5xH7mL9mkj9OXweiYFaR2mr2I1ADceKekbYtCks4kXcgkKBuCoU6+ksIXUl9MKzcefs8SjW9eaO 4vOYRHm3O5DD7peZSOsdEEvbZwvouvi06/4o+HBcoBaxlUY4IglccDIWwGJTMY6f0SuO79vizNJX oDaf/1WG21XxpPtHHkLTaeLjPyvhbTeYHloFDT3RSJEsrIv9jy/wKwrPCiojPIfE470r5IM/e5RR kYVxKW9C/NdZaazrMp4WJgPrl95Yrir6dh14jGyG3SQQtv8sle5K8HVB+wZ3dHyKVexNYrEXLFuV 89UKq0GzdKr1ZwwtfmyFPioEnzuigEwtsMQ9HhTVDUcNJr6JjF0R9V4oST2sLjYZYIJntCHPwael k1hQzlfvJQaUMjS1fx0+dNeHs7bx/i1/I1acCK8YXtTgB010TosatIQaWG5gOz0+0HeVBUZXcsOu tWyasbt+nWMjzgmfrtSWPsDaZbYcl083IP+VRmXkh4vADeIcKT6pYhkBWk0F74GFQeBZU+aZcmHZ v3833mr3F9ABDRvUFcG1H3YZUu86a4SHkHzVRiotIVo91JWXTHxe1roDlp2WzQtvuP55X3cMl+jB E4U4bqPiSwrDL1Cxn3fUbyNjceBykfR1lZY7PNUA0FNuxdNqLpIV/OH9WPHqe3Axg/ViM2MX/KSG XYZdavmPAJs+iAXIofo2NAZKCfdcFlmM1q2jSDhaGFAhC1AU1XvPQ2nTeBtebj7CucL7sb0K8HVj aq+kQqctBN5Ed2R3iJQQ8u7EJI9sra+kd7ic4Pwpw7dB95h222W57nNkr/SzRM9w8j0bTDa0rB1o kdVtUgEX51XHLPk1IdycTklm2HV4m1OqZ0+555wSziEgDWTZyGQ7ao2xgROlAoe57AQ739cm0Ib+ QczWGck6+6JYgGXxhAUxFJord4wJ7huV0FLCH/nu8EIMzb2cA+I3lf3mysXgxjkEQrqk1e5I0Xzc ES4gjdbcCgkYLHSUX7oYZ1qFXU0ARiAQ7eaIfp94cwbakdIE6dzIbaihtjmGq1c9bCl5K2XHPLWO 6RdMTynAphx7Sw+s8XkNz09x5bxJ1FbCo/fa+wKyacy5cCszAcKrnYQgv7m4hq8ePxH1a+l/P5yl MhBxDxeQyVMzWOT/zz50aIxjiZjYQH61YX7XPTyQsEsIHVw8gi7wIJF+L5njCEi4IMCn9WKpTu0m hnmx6EDneg3SSgRP9gTomO7pr02IHCiPwevOlxqEyKr96g96LffOBXbWkufVaigpRC08k/739If1 Vv1V7urgafVqKtBWZy0IX5ocGP3nMIfRJxge4se+IlBwzjP0Y3M05BsFRYk07EsV5klg7NUQi11t /I83705WmXZqbAe3wv5opuhAd/+Zize4PXZUEsSW0ozPDO1qJl5hf2uvIZtp55hOS/OcTcaf91Ga ZkuTE8JcnU4NVRclfigq+qk0wbYkZryo5QG+ygDhArIlPbduwmB5Et3gaGQtR3Dx/k0FHe91UByQ 5/BCYccJUb0xvXEKR++eOvQLc2GAevNGBjqCERZkvuKvyf4XVbYKTKon65G96bkPlpgnsoVNgiTf 1bxIl18yeytlz+1jgIiWIjcZyUKnGYHWFusNSzmLNa5hO27XCdo8DlmHf0QUJPV8TUU9Vw7Wph/k Nla3B9rTdi2QtUj9k+w0qp1L+KzWNLgOkiiTXEOczQ7MpFUOFKovVqpgJUrTJcfBXdJyUBXdWWOH Q8aX7gLxzGpmO9bGq9DMwRua0Gn8zCfk39MfoNh6wzJ2Pf+xy7xgAvBaVGjlFdt9/FiKe59lPmDV 50ojLVPp+9IHVml3KnET6IG8hwz2WrgS8Nlws/HrLxrBdFaNL2KOTRiRTSpZJhLYlJtDSeBi4U27 Uqz2j3RdrbjYsdeYw8CcKvr8SMh3nPr0cvNwC6oTo53ANWUGq5y8341/32m8aHRL7PpOLHv1xux5 OH/Q3bdY13N12lxTg8dQXfsExFb9sufmOL+znOWAybBYLjsSFThBcSn4SDqLUVTG4WqhuSoj+xcl pxGpOZWfscAPWx9/fp1AjPB9cHIjancd/inJKOEDCCp0lzjmFzFu1d2ROkjTF4amX5opZnVvhcU7 GZ3x/JJCYbxl8x9Gj4+c5bm/OahWzJxOLNsxVdnsVNIAkXdDfzGGI4S9LnOqPgyZRj4V5hjel+/V avnn1T5l0UFvB+vmDNqGyT9TZln3ueukM6EsgTwKgDjfH5mEtv3+Kd0s5sZa+VYVRr1fxVK4BW3p kuT6n7oyWHw86qwWp6W/cE9tFHeF+1BCH0t8zkZscpptKjx0M2MN3rqDiRb2zlSRz9btk/A99ueQ D/PZXXoaLqvrnnZxVccpNruuj1olze/KV7CMTxM66WmEamEVzqkwto+RWaAwRRR2I/t3wcUhC4PA GuLmyr1p6sQaM1S6Na0aGJs1wMDvrt1dLFAuJj4w+wXP+RxL2XjVbgTA6YUfiEHDa4/Hm6i+An8D 7MXq3l//l5AbMpLC35byJwaOtYQDVtIUkyURnSE0mh1WfFaSw77zwAZ9kOP7nBH/Y7iQVBsuOLvq TtlY/i1H9pRPWz+Rw3PX8waZpq01i8Q6TIJ0s3aA055Zv+UKTVQkfqjgUvViX8PZH/F8XxCz3usS 49grjxw4NF5xy2PPSdmRBdDk7Iwg+gkKpK0//Bpk6LuASP6tLKLsPjVMdOQ/iE7EPgXteZNHeuR9 AiVAnjgi6TxZKSUOcT0FAxp/Oi5CAtDL98IvJWqXZ+HhOJKY+sNIqhH+l1mdQHEglPmLAT2yb/5x 4uBZC5cBRRBlW01mnMegM4ya6Wc5hTaWmjMXBEnI66eQ3MW1nDcptITmq2B6shGOC5alXKw7S5Hz QsezmyW0SZNe7PU/eDmF/zRutm4Qfc5XjHOniDxE/0cPmEsHgnq/zt/fzp9P+WzCNtSjfbp9+Ckc QBQ5EzRqLfOnXH5EN0CbG6+8MMPDjQw2r4Pne8WA+XxmGEU8l0EKU7Id3kjEfRF/My+YVFxEsKeN +hqAl9mNxX+dLeVkZ8zxJFyacs8QN1mc/QbDVpScOXteDTJUtruzfsOkH+G1Xza+LGC+sBB2WF8s BzEnn3C0GhdREluodTeyoLmN1sioPf7zuNb5iSbA96H98FafxXHbhiKlqxsUPWeig5dtQ0phNbkX UNa1772LETFj44jmB9iDzqqt/0WgMYgL62VSh1Oufz2ATJVGT2f4xAifPnOK6hIxSLIo9WWS7Aym isDLFWSI8CpwO5QWBmAac1Yo3G9svn11/RzuwYSrGoqzls0R1DJOwiOfxP6IhNsYl6h7PDzF0c0N 54DaMuPdVAp0O75SWNj02YnWKxxk4UOZ4xeYvcxS2v3a8uZb1Trqxj4D0jlVy1myWsQdq8UHMSWU z/9BGb66lafzYgRf7qvBMWcNl5jTUk5SMJn51IHHPyxdwn0mLaKuJKGHv72u3PrJQ3AbwjxonJhe pdu9hZhYbHpAA/kbpdY73yPoe4Ei5OXBriZEcTfnjf8lBCk/NxEZ6mxONgvfBIHMiNOrcYTF6rJc 5s3Rwmc9PFymB8m4hhq6SMnX6BMnDwbDgO6Q5OzGbuHnewQBInwAXFDl6qRkTXfLPgHsBFRDZcod 0oudqaIpSBBFMmNNUNPCsySh1q/M+ALKDeQKlgExHNI6eV38t839ExOnsFn1Tl1B3daQ5CiRCmTN tM0ZHugVExSn/Eqf0IdMOvMz6ma6DOu0MMd0ZWBKok5qdkQPmXTXFlo6EbiprK58LOOTQh7ZOffG B9ChoGOGsLV/6Rfups596k2k0CEbfGh9IIFVtWE4x1shkULz7Q9dlAfBu7kvPd+3KQYZNcIJwg0o It8lNfvD/8AEU8WBjn1cmUcF1cjFdIhTpz9H/+eU7pmVVtK71KnybqR2BWOFpbounmf5LNZcmNIe aHur+H/ekMFbGSTG3hl1B+XtaTUIDSF3E5efJ2PMl81uyNQafq5nOs+g4aGt3/LYpgZnICLdRsQu KajX1l0Goe9uRgRWBV4ZoiKWsZf0u6gv86tjNve4m94j7ed47n4h9i6dMBcG7RgmyNk8S/QxB46D lGRnfFpyWtgs3APn8Qmn2H3MAOAJXN1r/v3GSjBgBI6Vrm6E9aEeC8aUJhQ2ryAk7bK05PnyAG6x MhGHZFXzUMAgSdAlSs/xzbYWQ5lIdctD3H5zVm1wyHr61pSDnKW6prMlLfK496a5dShM2ZiHQ3UA PfUh7NcJa64tynNBi2DSxNBjtxUX458Wf5Nixjzn24YEajhBuMpEXfNi7mO1+5lQ2ow+WptjTHkf l0za/TW2vRbIRofoQpZcPdLETvPechIuTL5pgfkRh+S5KQaketfDF/UhlPI0zDq+KM8QdaRA4Pze djOlTImU2RYdQnaXjhyBu0cWrcvHiF+lgnFlpSlsXit/6dDCGCGiCtJMOWjrnkNvniyMsCLtdlLZ r/38issJObnH0hYFEqdfvBlviw8BIIrWPQp1TgBdLXHhWw2RKqhmJ/v+EtElhal/ljUPxiEqSWMo PvijjutNonSQR42u8fOgxWm+mpEHdIbQ5TlHMXvnsBNxCWaj02a53cYiNxCyA5bJjaEYtqZwRI5H 3wYgqPkA78uFIXwXtwEHHOgHSPDuC/M+8S+ndxgGeLfnjQUTe4T8gHG/Q8whizDSdGqQ4HfR9953 pfTXWVgmsmMxOtCKiutfFKmkxXwdiVFskrTZ6H1S1YGiEESN9s0R5EXHHcvtFaAKzpxuHuC7dlRU cW2YgkpzCaiYDvLF/hzLaEl0blXWjT7C5Z0uwDYdkoAeSAN+KVHRqQT6yGuBtYaq8bIjpTrZAoHN smdd+FgpxBGQ+IYJtDnXil3cdLXEIg6pcP7ww8tpU6kwM6bq60iCqT/azOT0FYOPnzXlZaLa+U16 DVC8y1fa0lKd9qnlvXpykFaD0o0s0VSgSEFS3R7fPrFw22mtoouFUS8obNSEzZp2kGu+k64COEi4 UOtrG6K37T0fiORxtQXPTfRG1plvPX7MDVweuhprQjMygiAGv8dkDtFnSkcmRv+2rvln+R4Q16Py ePuQMAo9nWEgeGfgKQov+egxI6P0CQzLj1eJdFMzd+mejcfD7fPhXTB9yulil41Av6MvpZ1mk1eP 40V0MMcNO2mYCQIslJt8qsXSG7QoHTQoDd3412vCNezX9o2icb8+fx/a7y4uTf02SjH7iooBLu+e GKVS2V9dh5A6/lw6XrXyryb8Jj2UhVkmZ7ApDoPLS+kDwdYYNBdMpbENJR3ZE5SIP/PdIj7WB6WU E+8DcuWj7N3tEu3RI3TIJ+IbkUXIQQrl2Ql+eo/mrwZ4IVgaRqeCvlhSrYF0jtBmRP9LTdOuQJaO T0xw95jNCJ9sOi9nM6H7gx0M3jAvC/2uEByyy38qUcRVbV2+js4u66mpbIH68+wXmdxWWSd+o2lu zQUsJ1u5fcuG+NS3MSGzzU3Pob/RqfFeUb73FVwCKGF3boRRF1ENk4FlHADxAKd2xn/uWynQNUe4 +qVGVKWobl/bWkvHBTKtfivME62WTF95vF4tjVYCXbQT1iLBDC7POmScDNncGSxfNbSxuirgPpV+ 0aeZDASapIArNEN39JMv4FPsFkGzGuTGQPd0guSChulFpBwrLM4JYRmE9FA9sJAQ5s6XzP7P0i59 ZnHPoTUegoAcDPLOmlbUHLLiXtzhkrrMkl7iOE7zo3t7LxuSv22n2XYHecvC/j6BNEgyafa7KxKu U6bqYY1PZltYTUjZR2oHq4eJV6FM6pA5lJc1QTcWzuuVKpG/Npmv6WAHUOfCO9x4Wtf1w0LqLYFu AyCmxi4+m/JODQybxB+4uDyMJJXh+S7WgeBExfJh9PivrJQSk50uT37H3WKsChlQJ2V8O0xxxw1+ YBaDuiYuR+RHmLmQlvE1jdPIrlbxhorVwKPsK2q8uMjHXS5YHZxIC+fZjcCGfvoJhIG4uPRHKqgY cv76lwgXsdkeGF37whyhLsx033Q6rkHzlBxu8wf5mG8rpSF1zyyQUIOO/+uwxFcbROMgow2+OF3J 46+ua8Ey3kDs0Q4xC5AIb0MVLRxgO4a9nSckBDbAToTiea4uAB7wMDwHE/vn0aAL1IzZ5PGr+T68 JfcNBSo+H1F3S6ha7fcX9vihRPmFfkSvV7CRS13wVA7cS3g1he8ztldC9lm8sHSpPgo47DtyF5mM GR9CEGD+JkcshGt8Hs8GOq9CugHnUHK9c+vtkKR4A+QEbNN7vuo+Ew79ZBbiHB9OPKYyll7/zpgr 7edIn9kOapbqz0XFT3Sj1iA9H5sQ+c4QMN0oFUXHsO/GO6Lmzu/2o6s2Qwqlhug5C38KVDkIjvbo 5UvugUsqj3gZ30pGfVN/0/4n3xX+uV5BJP0qjijNM7pvlFwlV+cwSs+Ha8wtWVwnz6IHTnbtwJrb 1rW4Ap9bU9t8y8Xpyuu65rk/tdWk/gvBjK6q8VedX/dVfnfEqT7mFI6xYDo8+4ECLov7xYcWUpqE zHGQU1OC2vW5GILm2MdAlvaktliCTn+iegS8HH7zEItbtVUPIMZzqZnI1gv9cDEkhNy2tY4rOp1V fidBK6o7jkBlV8gXTE3kmq8Cv1U7d64Ds6buhlNG2hGNqrL3CDxKlKD2M2fsRVJ1mO29LUsJKowZ JX07t/jJ/jD4HidUMlndCGr4UgcrrKeupG99Z3efFpDnufuNaxmC7NoZ46qxQFXTP6twzqC/64gm K8NxUjAQPEuEgPdMMqIYyEXEHaX0kV3zIXPBdT6nxk4Y4MVmnI9QfNSffGki4ilbghw2mz2AxANl 3VFuO2r6BbWsL4lG/B9xgRYX8gnycNYJsX1GEUiezX38UdvGDHbN2xDRlg48JlE87/6Tn56wVqmv lH7JsyWxOD3zTlaWfH7y5h+eZlbd3N9RNW+ZJN9np4CnsZjqNoDWVuBMVDdDUpj1OiFvCv2W+1KC 48hwtcKMMNxjwj4YtDdFgGM1nUB3jsE18WgnAxiF7nIuHLkHBGmyjmtvADuevETcsix1982HS1Np V89/yuE+1dFiYE79Q2xfhk0+HdNH97rxzTFOYIIfmWJOoDRFltpjE/paiVfCGOWjPm5giI5xuBo0 hzR1vsn+944wcft9U67ztV+Zy0mE5Az9g2cZr21QN9uLWnlPDnTBqAEIxqy0FkwGd3TcmiydV+kS 9tU6LYtTnCLa8dz9CSRtQul+55kMppygkoVzp/UWH2+8HA6aPFS3mFfGEY2CgMQoStCfybfZFN3z LwBud5bKHZa9rXIaTDV0t5TKCglAhrJkCVJ5KSxpDW2Zs2BAmIZxhpV+kFdH5glMUn4jnpBsYb0q 9N0DF/Ez6euUwUSTeht6HOJO1gNIGyOx33kae88x3x9mBsd/JHfFBmPkqrDaR6m24elYvrPj0VGb V9elyNNUPMoR8VrN1q8w0ukAhp92nWgGSI8ijPlSWm7YYaXG4AX2yQXtt4A83t5+cZ/BUQUxpcGv /CV/UUhMgqNCCTUeHwR8Phd0yHlkhyH4hEzQCcw7XgNVdfAS+Y6DrUmFwHXY1n0qORy7z5jplXkE ETDz5YLe4xnp1rR84rQIudn2YmoKNZH/GzbdfJUIw72LGXQRkSBpRGH77Ec7mVF5uGQMd/EBbeTk hr/j7isJhs04xk7IlPFH8WpZzK/Zi12AvwmDhUrFtr7dZMy9Sk4NbW8cOLSzDpbTu+BPYk6o4b7H WdyCv8zynm63MrWr6+Zye4dYahcRgNIXyVhpPFRvCefm436rB1rVQ3Odv7t9hJYlQB1WUWoJUKWL Lu34vz2SxdOg+h3oXnYbxY8osqN65CovrnxYatXYtDNCNNsvXra9PTCCZHVHR9nIQuPAbmQTMWxt 1QFU/sVcjHdtBrbuLVDDLQfiJhNyXBpLvtS1FzGUw+rbVPzuH2wkjURoX3QXFM0vIfkFERbCOTNi 6xsdJcdampI7kQz+ndwiPX0O++6NRH1//+ckBbCiPUnKsMC8UFoAkgeF6ft+6xLyBOsaZF1tK2ZG 57StUBuDQhkKRgmuFlbQhM2GiGAZ3YLJsaAO9TCq0pQqtWU1jD/uxJryPQpsK606acZ74KSQxr8R iTyq++j9Avm///fIctU615EQ8ie7oxwyBN6aNmA0Nw6KNYtujVGdSZoSIA25YIWpmu8Dr0g35Nqc vopeZ3dO085FSqmA/PzYChr+Vg1fVnDZyrhncCqXGb7TFjQ1S3QalJQI9SS4EVDBz48YfUuEXjR7 88UvT8URPrPZ7VQw18joowNvIQqtWr0DIAwJuNWUH+z505/nohivf+WzJwNAOGpejjvgiUvL8mkB OMtm7sg/NoK5/IHAhu253iP8ttUC9LmA21dEXGDEy4O70dRW3VNC8xlOHWYDdemLXVhxD82oEUan uXoQfVLGdOU+V4XH83DRMDt+PLJ76PE0jFAgKGNVFh9ZKCXkW8qLGP6JLSWJNqfvffDCr3EGiZrY zFThrVszL/TiudFQ+FbKA+bUNOAf00u6drSr//PjmUErwdjqkycfXwUBehdlpdSpVcZzu/L+zk7s HVOWF32x0T3WchalN8bRHfHXXv1S4UhEE5n0UVwijf2dagVdde4glz2Bs3p0/dc/wXmLiJ/k1KjS CWWfKAkNGCZVpyegPikShzZO1fQVb1RMC+Kv6WWgZYjg7y3dfZ2+j9mOvGwkYDAVA8glwKTm0+az vcADS9z+QLAVKGOSCIfFZVF6KYUpr1mNju6iAlMbVXqphbdTg+FVP01o/KCSDMclrOnDko0lZhcx 0IvlDHbfkYOja+hY8x5K3wzYZn3lU6Gf6Ib9p0Y5WetQwkFZvk/I669IKKYs8sauw3+F+Djcc6rT acr5CTLOoqNbYn3qiDCDr6oFEiKC8ra4UNj+cgGoYd7w0tL7LXnpOtHKZEM7OWCh3R9kDI84RHsn r5QgmRI47LAcKhiuETc/Jm31lyRYMgyfjDURXNs2aqeELDo7O5smGHCtmKyFl2B43jB9bu9tZEDJ rkzJKKazaZFcN4N1AzuTRosdgHGLNxALqQ/ujib18uLMw947QVoTGaKJMMyQ/57e2hLvR/ZI+hj2 OP0S0U5DsrjUbKUWilf7bBZYVl2lvp64J+BTTByL0qa9q/uPvI7aMv415zHYQJ0rk/u6z3f64FHy 4ef1rPm3sx5pNEXTwart1jsyDQzDxV0hP6VJyWrit5hNjaLsNdB1eek/igMid03ynaBRwbzKJeGw kNm0zkjRciDuQRneYnNJujl1qxrfX8BIx31Sr99cW96rplqPPuZtxaCEkt1nwnm8ihIMfzuMENyB /tPT9V4Ux+DhlYy43rtyU7wcov2LmJRzPH2PmZuT2w6WKb5Jz7PF/Hxq4DI4B989m+1LdVRHzlMv w7xj9CZbTi/zuDleZDd0EvUwa/KPx7T07ubsXuJtRuv4LWg07dbmGsDyxyLNIrnCsgbn8g9CdLYR HOWmhCi1Aivc0Qmb+GJxlL5jbWbe3MF4LqVs+U4+4ioJaRCCmpsirQqKEtoJNkdOjEdeWvKGI5Xb rIrmgbDMrM6jGhTBnPH9ledbBWM7n1fq1H4XzqGUxNM4OERf/pQAFJ86YbyOKw0FVDcKqSAiDg8x DARmZ7hUVW3EvbKmdOKnmIFM/KMEQdB8DqCKXwzj47PhD1lhjR7vZSTcEEnl/eTB3M7NCiheHMAg ZTd3p7KutyslpEHmw7UTSmbtYtoiR94ABdywDED3RurGDE309li20cEROW8c35WjFtOWysWEZvu7 sZemXMM+q/Vei3afVN5BbmBarMjd51aA/pXM2y8jrzuyOzdZ4NGWyFIB2wz7Ewdrtvm6Fvtlb82p 9esP9nU61Pc4TvdpIE4G/Gx4rvUG199qnld+VxM8vvXZkoToKQcxpunZXb7OF1LdbMhp7pblYDl7 lmSpSc/gbqSFwYFqSPouHCbLmj4I8Hq2FHB9RGIleOlog7vmu7yCWRYpTzjMGWWNsx8fBzsg9aEg /0KWsti5p4wXn7a4eel+VuWt/4/mVbXC/MBz0/x0vTtyTAnjo/mIQucWEX8cUurYAmU36NCct1q/ oeI59d4izj97EHgKUPMIm/IMkrEoEU19sffCPQ5tpw7lNe8ycfkXQiuC2eJg4j7YqoCEXIP3GCue Gxb4Kk/tMSsZArrtrm3mDvpkBhwW1rAj+DcuTGo2/uKXtEK0m/SXYZKUMnzmom+kfOAKZcRPAK2i afumIKIZbeZ/IWkkMgTUS8WJqwzv7TRGGpQ+XM2SFKC8D9GQu5lQNF8zORcwdPQJ5Fx9M+6I3GAw z60PIiglle9Fidt8c2AjKlEs+EQGxa6KK4A1OTqB4VfozCf59EZZ4o8c+VyHzE4jR8pchF7Nv2Cj HP/3rQesWmXyPn/78qd7vNrQgOd8YPSCtjQfCdeXLa02/oRtrUcsEoCS17UEcvzdhqLOSMSct6nV uCQbQ4dHD+8dmJM4rDVSb/ABR65sjwMxuiQZwZkQgn0J0Q0dWuXZ/6YBg0LQ8pjRowAlH0LS6rgA mry0nuecvTTD7VeAlFAQPAAu8WThQnmI7J+hCJV2ZtPIlyBElVYllsK0g9iMXO3RgX4R/RJ7gQ1c pr58RQ6LWlAv/RSj8taC/NHWAYrFtpxFcgu/87cmDqugr8MNugMLEtspkIDylmo+oDrRE1BL8H6L aO+pgInEFIGJLFgwQNsdjI29jJ1aTz6FurTkIg83yWp3YZroUl5tG+W37sV7dVSf7MxALgk6gcYI FNHrTCutRxET9EIZhu0WpR9iK4AfUala7JXvUBWLs5BgpvGPd1Ye6muSDF9T6RtJ2HQS3hQNFrVv kvnKDXPsWXGpjihCVTPnz055DUACr6GKiTtfmYDjlTn1JgdLDqS+GU01C2VfFl/oBTxPXHipoHOe 1LNXiM5GwmIStp0PCpvyY5619e3PjNUyqOWHTMznxz4FGRoejJhpqgq3Mz9yNQgyNFppN0/mmbTY MfzhT2a/6SxiX09fAcqPysFrCWu1TRmPZEaPmVTN3nh1WbeIl5tUZBO5M3eC/rreE4jNOChr1+6s VtdrO3KFInq8LVK5cEDb5kwF26c9U2zT2Pfg9dIp9snBTuNm6QEuArhLpDLiPUxRF52XyaBbHbAe LVhkxpav/y0Lc9o9dKObymaxQgPe1ziMB5qCNct6YbwU12/3nxQBdgHVehG2Y3l+OAHDmnJ6bb6B TK4ltnY3RKwwMkWogbP3pBmwU/aptLuiT7UW1sc4fGC0ka7UD7ZGOOWq1NuhHEdkzySd+r//ua6M Er73NgLl9VREPyAnTtqqJwif3j3jPhlJfbgLyoTTxEoMwUZK/hnpFpiCCdq2xkF2ISx8G19VGNxg s9hgYdjjpzBP+ANsMxZq6qXS7YUawiSUt8Y5mMKVrnQvC30wjomfWi916kTW4MV3WB1EhBDaym7y N6tgd4jHKgRNiWbpcmQBFQy3l0f3FJsQ/zhRn8wRPfcVR1bPNd342AkybL1Jr8oko7IfsNUv+qGb a38hhp0gcfCxC7+GOkBRiCEn5pScqKfk9vktmoMm4U5EKsiDy3BYYMNJXfZ6KBMqTkrEM2CTGP1n XB2eSkYovr+XRXLQ+WOTsyCsfEtl6fLUUNgLJGzriAtnxqBFVMdVvd1GeIR5scC2vWTysufLg/LB 61QEqCZxH20jJEjZATTQcf7vJywe3pC9tPgjYNr6RKcMrdzS4/7wR0qdj6OpYdfe89JFtnoI4COt jV+wOheJwoGEehnXVb6F62OQXQ3otmiclCA0nHAiEUAXi5GGY4R1tn8QVXERSTVdn8f2/IMY2OMP Q+kF1vvA/2lAyp2R117xefCdSzebo+oqRNQgK/rjwc/jSWYrLNITJ7ISlLqjLljD4gW2agU3mq/0 xfF6Z0bJD1hzroQFyQWtAYv8w3gm5/MIWFkINny2mLPjZYdjmCCA1usGsSAeK2B2qkNMQo2Pgvpg SQL6CuWgfWm658vHE9JxQWHAW2m5OwTup7D6W6bNSN/WCGNoe3X1O6YALhR2vN17nuSYMXFjY/Ob 4HPbaew/yNP8WM0nAyU3FY+oar+89HUG85YPIpFy+Ahol2oOsOb3zQkSqaiQfmgdxn1vqCxTyHdH 2qSe3bbxe06J13BW59QermR6IuAeYqBvqrfKR3DSTpCrzzAO1n+m1iLb5jJtRU9+fPJHk1yKvdQA jg5x49TnNusBx4mu7k2Z9XdrueiJd48dCvVpdEPr3Y09pB99icJSFJmz6hiVO/em35Fgniikw5VA 7UKnF2iPAbNa/jqERlX3r9sf+TDIzvMtqyhj690Ul/RZyhrnSaoyNY42/iXLpC1u+hRziXocrPVx YKsAPMKWvHTxHADHgqmh+/aQXEWRaYguoS2PDctZ4xLudS328XmO/GYTN6YisUjeLB8/o2DTdQgW c9ijlWAhK2Db2LO9PG8nU8uPB9BKmm0n/6fikV0gbH2JpKkopN5IHiPx4xiW1D93Buu35nB0aOWI EFYELf86kzoLF8MMybvOeopHBPTS5gnTIfPPb/QRDAwxzYKE9ZaQa4mO4N6/GRwH+GdOn0QOeL0R bKSh+HhcIL2O1QJRzwcMX9ZWrfgZLZCNNG3C/tZb9XKZEqco9KricWG1MSgm/XDh2DWjhSkTeKnO SiWPbJr3eG1vE/ntrzwXyo2r388fbI4ZVIPWEFEo10mwUEYHWks4RIxncT9ZJ96SZNgQhSy79cno G7scGNR0E5i8k2gZwvIAvu7LsD3vFC86gN55F7oM6zNeI8KVoWtKNR6ssKfH6tdHowBySSC+T2PG w6tw1VkMQJBMHs2xGHob8jDi0oxsBqU/O6SwpOg0UWOAZ54ZKp+hM++eS6tAamdz8TKmyMyWS+Xr 6i4ZkG/wF9mktXoUAMxgqKGSBlJpX/KMKaIoMqFnEFnhrRhC5tNovkCXweosGt31/8/R9GjR9vIN eoWE+4nxrQSY0dpKwD9LZMp40mSH+znOyvLIvSv3K993Bv4I6qd1Lw9QaMW/P7g+IzBObb8QPBa7 Z+JJQSLsvR8iqirq2j3GMMaRMFnIw/OU0dRBAVF61CVwTyrLMVmMIIx4O+nQzwoX2I6DXiuFzZhK CmAEXXkHeb96SZdgNRC9bKEm4ZAyxXMoFKPfpwtxIeDKzKzU4CK2z00Y798ZYt9wYHN02Lc0OO13 3s/5umVbgkIgP4YnaHIZtWKG8fbCAKa4KL22Zflw0QlE19GX+BJbgnmgr53E5BygkEi9jPGGithm 0GsNIYSqaX+DN/E1TivxESckAGFf4672TIgKOsauJd6+555FThD+wFuRuWDdkGJboPm7dkaH41i1 KdNZHIPYU0TTuTgk07ZCtlrInR2fpsxtLoailPrZJM+d4FLAKdhYKzMRu10bcsrlShUItCsKDSFQ VeIlKQzLvNELrR0TS+R+P5xgkTCuVzYVm8yPcf3VuIMP0xJIShQt8Fex7v8KPVA3AndtfENjvEun heeBO3HG5GcJq3C5n2OJplLTx3RnZDWijPrYXvmPv1keIwlJMdrshbHxIF+YbstK8LPd2RRfABYB kn8g/szyvJ7ujdEwDvs17jGSsKXBXPbWSVPmgW9vavzHP5pVtSYrASYY4yNjwu5JBVW/2xZYK5t0 6YEIJ4VwxnLX5lolNYgDJ8qoYJGcxVNHxNLhK8yVzgrKMqjBbDfpA5+pKMe/wQlyy4ix8We7yrjH UBzGommb5ZNPGaYn7+t2netKZvqm0SS2kc26kFDm6qFNIg7zgQje9ql/cGAqZ+CKYYBsneN8OTgS yXRfMRhb3c4ZFOevNkjLM5nno0hpGFN/1OOZ/QSXni913NBzsOHnQ3uNVVT2UqWWupOsGu0STd5w cPPnlreIcZYfWHqvbuUFXNIpf9Oi0TvFhoGLYbjxOd6zbzB7LaGX00C+dnFkbOQVdlhUwN5oFbnU lyJdqQ904tG2aTuFfLJyMmj8B2PiWVoOlvRdqKf7B6CE0yRnrJL0pG3IJjzySaehEoa1ae03NZbY WZP37JaGWkBtyP49xQ41ufWYWsYP72voGZ4lNR+56vkCyum7GHqCXN9rJJxfLbv0+EUESUEOqwOF cJ3+szZ2Pxl+OXmMpRscJd4EXDUnEZqblFg44vDxh1lF0Q7C5V9HqWajx81nKL6IVe88O0xEDD5V sGF7uae+KlV7Tuba6WWhYd3/5rkiAvjIxkf+IKA8EdgBiUgGaQEdsLHrqQegdj0ojGV4Wa7q3t/2 9SDM32tBgMq/yBBBalrdhLcDbzs5P6h8/3m+OX3X+WEfXqzJj960D6ZgjinCkzPaHgZO3UaSuAnE XIAkiO8rt5C3kVqa0JogL793HgCdA/6RgNwbmAyyxSFhvvaBvtSldY8hkM+hjmbt+2ALyG3UQrND QSvhWNjNLmbadLVdoku2GeYVXADy90rL6SUKyu4ExbKNL/Xz+lHQvHtV8UFI8wnHOdwgZwIan2qh 0fp7ZyEVZlAI4sD+0Lww5eVrGYImLFqmRXskxbnGdvkc6UuqgGxjViwCVf0SfrqaIfWzYRst3PV4 zoL1Nu1Ubey/6sLY0uuzyk1WOjdKRYb+uNBFosmBLB+sJcV6EzKnSl+4XZvb3sXD6xI1/X/yYe5n 1K1+cJkSY0YyTgrv2FeWYG5kbXn7p4RUhG7kfpp3Ih6fKvuv1c2hkPjSGiC67vQeF7fFMC36Nh0n FdPsSqnR5TiRj8gtf0R1pG/QrU/oU7oSSD1nykAOh9/OwXPLZMsT3+eBgR1/ACeRaeBe/XlWprwp /75F7iJ9UAUYQCDqxMnl9uM1CTPVLqQqgdQ8THO8DFopLscfMY1KDtG/tt7cJnGsbpWC7gyetm5a 37T4Nn9kqHRjXr1DIjczWq+AtFA5ePbLlZG0RcJdHYwVLoKZhHsSqzApbuomWAPqU8BWMjM2UHtU I9yJ3c8GYw9eG44t5EbCifjHYFBaMqPuwTS5k1EP24yoStSj5xbDyeOWtbcfsKOXO7MMC6knYkme 0RqN1lYSwh/V+leAejrpLVnSzH2HQiROkotV8Bby0LioidQu3Z1AsidEO3v4yoFpqcmJRzd7oXsY xas8ijjYRUgwem+ABDwI3KnBiH83TQkYdGNQa421NDi3pwkTldaWb4YUCMhFC+wL6OlfLFicfHks DiUEMX8tc15bvnAwms+UcqnAfHT0gARIJ2vunrp4z2YSylu/FroGZK14FGpQPmWnHZec6s+1MuCr 7S6dp8kQOKRuTDNAdP24swchdjwzIyVg8JydRE+dzakgZvdnwWE7/xTMPsojMnfAG6JF7J+JdHta FLObZwO/TMdEWlVDqya3trZfxb2M9ELJXtTgHsMn9lEBxQiBRCBLk8AQqHSUDOa5aXpbjqDpdfPh W1GeSqbFAL//XCs9NYk1NahjZSvg5n86enlkeMAxI4BPFriaK9ajqaFkVQgkWQOAUxkPH09i/jti fkWPFzlIOC6cLdzxtgwtYi/i5a/cBWUYXNDeH1Q6IiXHlc9OgezfJM74R3Z4KuR9D51qIAkhcqje az3UOoCeKq3lNHbuasTMwUQwre9p7FrAQR2x5oPzbme0aHnBwLoOMDY7MAcjqz0gkI6NuIgjjyCj FyipoqbRCUVyByPYU4gubJ0kNk20OhpWIVF6WgSZee925xJAb6G6SK0mzN109cpOL7rHCjYJhboq S9HVxobkUsIClNxkCOYDproVRykh5nlMWCWoMMHPXcKcudU8AqOwgY6hemLexhRSHBuSwUWIBhTb RA2IgatcQikOICYVhzYOYrQ4ONiGFq8N6DjABcCQ2/Lvc/26xEB6ENssiVj7Jw+61X63b1L1kThk CwtkxcHfuXmRcN9XAE49DRQ9O45JBIs0pPjqqm/OlWjJze85CtZR1INe1mxEkIcsxWXpheNwZjXu M4ENNHrGZHLtxOqgnpWyYixHY0HT/OCgpguEV7c1TKwxUyryLh+XK+p1nCrDchmVwSyqz8koAAeQ WP3Ef4cCIhFKZ/gmnAw2VqLnperQ4x6J3fjtETSQ+9s6Pu1uetbV0PnX5BjORDjiDbCjklvdLYxq JUmSNmJo/y+a/FahGtH1d3wnDVbaAi7jKVgfQhsJzd4Ndl1RKwcAO0wDLFR9rGN6xSPgQCdH1QnM vTj6NHZrBZfjSecPA1zh02E9mKtkBokp5IgCaTvf6GG2Msi+FYv0/KiT5gJX7z2maXTStaS1vmfu whGXBkPhEHPYQCTWlKFpB1TtaukeiKGDEJggzLvFuS+Rqz8RIqxQ3CYf42y2a1iOPbX0AuA10VmB 95fbddyfHqj44KPI7xElkgekg9aHFsET7E6IFEgaidowmYlYBvYEm77kpxiThZY8Kc2hXZ1u2QFg nZwIIrcun8+CQP3yBMkclHQMe/9X14DnJ/A/n9KsM1uARd2875dZPKlCjpXNPGCUx0btTn5D5l60 sg8sShCCDT6KcD/6T7+Rotqw03eNnWPAv7ehnitxlQ0LhtazBw6fDpiPWXcaF5iySsq1d/Z7i+ZD gSM2ywcarmzevDAD590C+tpq7sO9MbFTnfoYV7G8NjE6sk3/M1dBpI1YFMsJDCCeKaaxQ6l7kvHt MGhThzlPc1tPmMFqJ2giy2ArxJK2cDT2EdsQMa48j4v2Z9eRY8DAJZoN9gW+dxbQOTyCd/of667Q kekBJjxWAvaPFO8AqChq7u/S8invk8RZG6OIU+T+QryizsvtCaHceImvHm4k6Bg90YzPegKMdfA9 v6fEe0S7R3mmDCFystONHqM3qJA1MHkZfK0INAzN+fgGVgsFt/u3YhtcDwJMRlc6VAe/B5npoEwX 1HAH7dxk+N9bURp/RAxCLa1yTtngLP8ovjno4b8xIrWC29NGp3sx6gfQvYFXuIdd10LpD4R8NFWg ruVO9M/A/JLbB97nk36ko9Uu2c5mbwlpTf4PoncpMWz11E2a3gvjf2xcONPe6Ouvhyt+a5Vq9awQ oi+s4y8EGNWr0I7HtAPuimJFm2s7370Uqvlk6ImcIyhBp9M8cV+c0Jk43ArOi9mnFxO1sS6vF51p gJAL/GJoU47oNAfbZZRI7xnGtt3EMiRrLQLnnBm/KtPnEg41GGWbRdTULFQo07Q6bpsNi0hklzv2 sDZGYJzwhgJcGJhtW0a0lwfh1OQy+2s/BjEuq757/8bOEs6Ci630mNJnjFhivBPO75UQQEGt3lTx WKfYubPlkXZC0ml6wsb5GxHafeIV+JKgbjVx6atiTdC6tmn4BCfv4iGf2OLyVfY3S62FOScUd7P3 4q4xPIGDFhKPh+hd9iVQs+SfVVJpAVW5hQfTs3aC4HOFOSUAPZzVlVNaa74VmFa09rVxVvHpRpke +NnEh7rYn54bGdWJlEuPE507bQoQvrWgkN+qnsyrhaDyf/Be1oP/VO5JdMZdIRSju3JQ3CHgo6SX yaYzC/lndubx0EUUEFwCdAledP9UBuenkSiZa6bUxHPwXVYAjI9d2dkEk5raA2guwPfmVFqwTn11 mFHzsJY0a2NIwQmuFpPQreoIrTeeT0BbvLDthFeHG0V7bfWk10xHlSlCtxBnImCx4BlkKaJFvk/t nB/+xztf6AFB3ec4Gxm5mf0DjgfCOtJz0dZhTqxbeKK4R3S6ubQfqF1pKkxxmLZRohPahtJf81B/ JKO/0mbXJRRCChwGwH39o3LcBKS633RwjWUs0BYWDkBL5LuS1rikLfnpD0VwbxUDOeczbg7aNhWw ibOM9FhJdUVA2ksVRuvKmOckzBKiXnYt3F4VfCGkPe0jaEf8hGxi/gLeaH/E2UgKo4cZ0ocGefQ6 mcSRu92vgbfWpCxVEFBB/k1hiX2XvtiXacBPoO9V1uIZH0zYCNnMPIE5LgJ7JLhpVG4aaEChVf7X yhZ3CKeKugAPBxlcxpCGZbOv6OQTF6488tTy8PUwzVSLjF1gaeSc/Cc2cXQnPDUjWDv8w1ZJwYeK cICzAdcgtehOQOsK87PRUhtflQUKs3xMQ6roQFRa4rsrVnp8phV5UdoqEBaPbHHOnqbcGMcSOmOy PwrCBAYDApI8cAFugYxY2K0+hKei7gm0KSw3MYfyAjQXrg+qzb+v3X82XfT3LAtNGsZ8wcMUu1jl 6b2LONDBC+BsWLFZ/CuZy5xp2sLZvXWWon+wSxWNFyaGe3ovoaShagXeduseQtI8jg4+KSjGVItq 1LFTz/eng7l62hIECOgnJhyGO+bDEm8/OGAjROQvtlca/6IVE+IqvsoLqQ/TnIWSgej1gaqD0hpz 3lH5QtLx3oqxDCNWG71OJ+1lLeDYpezKglePm9zHS9KE7UT/IwP1CKDjd61nF/CaNxARNvlsk7fr C/mi58TzDsOWggyywOv9Hh2Ggkdgthm1Sa691kwz2/28njhNhWxHQsEWwXvvqUOqMqbB0IK5P64F +Rlv9NIamnOZcnmX4GQkSyJbdw382NTz2XrH6GbwAvqrj2errvHkzPVe0QUNTdd7Ewel5d5/p2x4 +2ZQms/Z//Dki+XCnnwoCVFEl9xlNoqttWuIldXAG8/88vxlLxgNJx8/nkDDP3dv8bGlcadUQK8n YIpN4wow9FWifaFai6ik+5bWav/dwDNLa9vqTBdmDLLHNwyp+9rh6lEWe5eC32zr+fD/FrZAsVqu wR/S8uMJep/5lbn/JiPWTlPtY0pU2tpQfEfcdoNQ/b9KkA68sSJC58eoyzcvr+k5U71TNobQsoqb KzMa3CJRQVb+ywZn5Vf+97aNXwxqJ8+dLGQx0UNUZNPG2h8QqyVuUHWcLkUgCmzFuUxjS2rAzM7h 7o/sal8eG8wmF+iOXYgMKqSk9iF/jlXvnqLJYu/BGzIfhycFGixUh3WZBa6iHwZBC3v9PWh/sP5Y 4GAQ1mNweh3n1JBu4H9q5Y6aV6QV//8SKgEku1Sw8q2wgVhd1YPMJni8QAI4BWRLI0ilSsIGkyI1 70DjV/VzmlKiG5FEZ3rWvf9iHS+zrD7lsXXEcd4fbJhn/BF2QQf99nJzUv5ldxDTIp+BIrPjikv1 oa5PHlq/WyRWKYW1zsFRBS/Im6/AVxv4Bl08aghFk1Scfi22DYeg9gZ7g2s8OZyfTxaBXyFOZmY5 4o1eqen417PpF5ckOhqqkmKUfb8VI/vFMNYpM38n83PSsSRx5aCgYm7lq/MMWG5AkuHIwc5FR6f6 QALMkCSs7HmSt8wgDyLvL9lsOoC9nokJeD+OAsA3GHwTJPw3x/XyHbN2hlbxgBG7vTG/gy2Zsxx/ +/b/7IAc+RW4fep+CWsxvtHDvJuOIrCkAqYCScXK7wcAO3uPSu68IU/OzxW1dPE1HFMobwLFG7xp J3Me6M9hHwFXik4jIV8tSUUkup0sixfyWHNUouIAKdAX6l7BH8vOUCVKxFditBOcuUnx4nZrBQL0 d0+2MyTMA8YV8f4wVZHrdPW/P+8T8i+2b59ekSRvSVu+BA2Mk5pm51F2NjI/ieJwsxHEplRvldDU jPe6RBtfndIawQb25lTo5aeth9P67BJrlv1MclpAOqizWKlDGXBxZbOMH0sFD7cv47htEvkDO8JE uX00GCj/1LJPL6YuRzu/ITNxldKT1DROP69Rc5yATHzqihqKOjLvw076qj+orrR5iXlyFlT5kytE 62i9g4EF1HPgiGCVhDHwqwDlwnrTa+2qlm4+xK0RvoCIOfKAlTsDfuCi+dOCidpgXomh7jsaS3OI aAw0Nl+prIzge9AwvjAU9GXP7FCddv8xGKkvUGFCzsbrPIVwoSydZ3DMFcOVrx7VsOi5wUO0R0v1 8MyZ1RY4710WtkLCh7k7+0JPvOHeXqUh4e7Ry7yVpUsHuoFuDWjyJz44XuZy4uJRII+V9JVJd4XO 6LRzHaVroZQj7PrWYDGSiSBEHwmRp1YbilfelOEDujJraZhd5AaqhfMbjo2dQQIvn8XoO0y+IaVv SE6SyqqVK6XWdBGTRSLL+cSIKWGEV9ayzQa2qrhATipzkZQR2P0MTPnUteeaOkX0kcTETcLolBKe MMhYunqcZF711bLflWWzJ0sTb6hJc8IZEVOuDvgvNzPjMSNg3f0kT/8i81tF/w21TVTk+ut4xWPt TJSqkJ8W4f3xdGlXHgVIyG77/JkVFfiElA5Xw1jtTVhda0ag3FIUNVxq2IHgW37rhxn/2BjSSIKU XFOrR4TpKD0g8S9QQTliyLmBBLrZDdBiWSm2/xkbMsiy4iDTsCJ9Xjekdh9/yo8Ew/5Liy8Ft6Aa qVXAmZ/pxHA0UxCucFKdktxPjTesHlgYzBpefxm3CuKQRzIO5v9ngT0dXPJtH4ISI4ss/JBowEsk WEhs1tJOtiF/dLZ8thW4YWd2sqgRn21gDwIqufeu2Th3Ty/jDTg3Oa+X2iV8nwzNo7cyTGshENR9 9acaFrvRF/KtU93AX8Q6D1nnT3epZw/oGjTm1w8aWaW6hDwxiyrZH0koLWjRoTASwmyEzS0UoGiN FnE5HMnx6z9Xif+n4erEOVfgc5UXgR2pl4fUDeTGSd/07fIV7fCI0Pl0UijvSlcLA15D3iXVKbcl LjNzM+/iwqtg2e/5yvMJzC3dRkOz306XjnLG6IwijdmhkdK20oQCX/JoNdE/+1iXvBnj+qC0yW42 Cuv0NJtHAPyyBVoTIUWzqBExwHkMFTaHYGgx30aD065uFscI3XyoUQMU8dXdROaVu5HrhNa5HpNc VlAoXeqM53xGFA2dzERdD3Vo4RPqOibR7X/Od/x0jOiRi6sV5CY6XdD1rfPBk4ve+gC/gjF6lisr SG/d2KC5Tr+h3of2nXhLo5hfCfaO+zBEA5R1UFVuUOlxlLYd03Zj+J6Wgi9I4DIUrWBpmFSQB440 kSdv5l368SXSk7myV53kMBaHoOYs8vxwGF2huElhQNzmlyVSqXMu01AcljWfpHqKGXh4ghBl1l+Z H2oxEoWzqNJ0VNOpvyA5xAGwSDrsZcAtFGpOwaEsIN8s5Qdd6CifH7FnKT+376AJRVzz63PbJYP+ LjTstlx5+5YNSZXLyIZ5zNGEN07yGJDDLt5T4/UIfGFpyuGNmDlAa3Rl/19z4JXcVl0olRcOoJL+ RRdW91iVtLehf9jMSTHTf4srGPDJ0iIl9yikSqqulSVlxWwAh3juWo7CEJwquV2FmvMBwMBuw8P2 MG32lLM019BFJXDsfaQ5Wha6N3PfPO8I8ZBq5ti0KecuTE/AtdbkMuefNvrFrj9DVMmwOmDGVri5 ApVaw5X/C2uMMvQoQztzwIYK3YvCgUKoW08ZqBWWAQzlt/b9j1amGq3NclHUx9aIeXcG+/4pv236 DcD1wlaCY/s2XPd7tYXSrdXJrOQc29F4y/NT5TngUg9woUydPjf+1xlFTsQn1v5hWMjahvyyCCzp /paGQzWH2PxjWolc9vN6kqloW+hTyUHs/C6V0LInEU0nuRhlP6Zg512oPiQY1Tpcy3/NkanUZOct Mcav1+HNRo3Z1xZmXxCgt9Rf/APrGwv+M89dPLJ9OyKGLCNY1ZBbglQOgbhK+4SQOMLwr99/G/7A LIsPnnOVKjsb69JKslYTgYfkJHo7semjQ8itDhCIt4dVEUVATk8Z6KBdOzPO3Q9arQ20DfNvF2hD 00qadEBSxR3IVaYD/OFVgronmXppnCP2veQB5eT++WQ2jvMCRQHYUXmSzgDQ2Mcd9ZTJmgoS0Erw 1wQ8jjPDYmOww3cq1kLYAocZKSPhwUesM2z0X405VZeRewqhczvkuiJbfSlD+3C/wQoLpb2Rmxly gpsn3oJsR43wAkWpvkSx+yxxiVLq1JiTwxgfFg8f0GF/dCPYxcp+dip1e61OGVlBHDyobC+U2lNN PSL2zBGWZfRyppT63yay+MsStFpptDJSj5KmIP0cevhOu1sLRYMk+Jm89pMMbx5FWUbb4e365y3Z sxW51Vt39Zk72xOVg6Vcai+/7FwUCJhqi3XjD0kayrw0WiHNrsTTcl0FKRwCrSzBKvWd8PbiPATn gZpwZT1JXe187bLL/3GF9jKITxVMfJlFzha1KkKgj3Iec4T5HN0XTY5vxa16vH2Wk2MCSBA8/onP 938Ys3EVdjUrJOb/I2pFvs9PTQkAfgp5q7Sii/eGlYC5ZzrKRvsPYKrsrWWCUF+zwsq96ioJukpr LbNU8Xq147NxypDsdCJYS5mRIWrfzoPZnka40awv7xFlVCi5D/JyAUus6UEUXLUnRgF00kAUhFb/ y21eVUF3Cw31vCkp0i2dBnHB9WsEzT0dwou3GTg0k4VH+ftG3pJOc9glvuZvZNeNeLqQCztoa6jR uwLjL7DjhyZgw1whyU32+GvjLAXiAv/dOuCA7oyPQsgCydWUz1iA0IOpfZUBTvA3onGu6pLgqXCo XiNGIIs13bu1HONlbqW/t811erKuF13gELsFO4CxRV4ejji1ySf5HEYHkhnL3/q06Y4Slpn+mWTe xTpRBxwPIRRVT/XiI2YLlgBye27L3NQyZTZB8jAnmGuAnurzZ46Gm7UjC49rlhNKbZA2O1KYFGI2 MOeJBrECrFrQ8bqyUHoGTDz+hlE9A/Pu7pANcyh1mPxFojFbC8jI0fberVYP4VxX1x7/QmmOXzdd 0JeUjydsMGkZ7yME6LG5uYVETjQZ2l6O1FOrpxdHP0Mt/5Bj55+f6rHMJtPwkZm3UW2GX8Gg4Tix m0KZnt6gImgt11NoFCMYD/8TO6Qu24qNRl9U4xlHAvS2s6Yln7sQhegcKe5p1u6p/49+iZNWKEU8 p9PhWZ9FXCl1yfSOoBR8gwovpFUEdSCazfgFYTLkboI8MgTuidmtB0gixynqsxITE2LORCTavt0M QIY4xvxrJQFE0hKQkOfbe11MirvSihpoPLB3x1STGcR1w7xm/QUAdLQeXSjNRdE0qvhde9IO3/w1 IeluBbr1wC3IO/rRi1b0txGQbpaU5tDqe4sKYWiJDXzkfn9iIIajOfa7wzRbzq0MjQev0LqiOwVP b+2i95eZjo4ySMCkGSkMtl0XLIHuf1x0zyr2cAGwQ1B0biMiVbv9zvtavTrv9seklPYWCy4ALDCj vsDGZounzdGtb3C6sw9jfvsuxp8oHV0JJpCW4mqaP0iJ31CPjm9TUlaLoit2MlfwEmoKVGH7A9k6 4M0EXbhKNvbCbuhha+K5fQFWyjxV18GFopZiAb2dfYRdPHnAD3GOqYxxdVjrkr+J3q+GaEA6bO+K XN0SjA2LxXB1mFvKUw+ZhH8SH1LJfzMCAPxpIvvDhELzkiqZpNa6a3kZAPRzguqQK4Z+2PnNGZUO 1XMK70XDi6aKTT0DgvmNkxZDsLisA4BOAcVvfBgnRQlh04cUjPHoWbt+YwkTBzxvCIaqROw84dYP eZg0IGCtLy5VjlSz5wVXxEd9HmzwnB0vtz9qpQofd2euqkxA17E6gZn6Qz/w3063h107qfvqJUew yQOr9n7EWdTwi+uyrWOytZHSp1dQjG0englatx67l+25lIznfEZ4B9W0FqG48FzyCIX9x4mwiCw9 +7xPNSERfZ+tqhqlV1zO3GSqrkp41/G1lFMx6Hw2HdCWkyZu8MoWnDQzILUGr7AcNIKcG2dLiMtJ o0LKZbFVgshyAmj03GrACdTzN7SM6hluFEJB1rZOjI0POGriB/U67Wp8d9/mWnV7RhDQU1s/nVL/ d/a6Q5ZjBQm8pfBNv6F+F4aJyDFk9P7eBXJEHadyj8dyBVjfEhvZV3lgfEuMEIqa4ZmnfrKuCAJw ZY70utrb0/dLi9z3OKW7W8VbdEBeQzCAVV6AAS6xgN51uNAlUMfXwTAAk7WiGlpPOok5ZkaI1hba ursG1QMQQMj2lC8qVtr9TWV684dnIqGP76OXz+It7jmjEqZPasH9WiQLeVwhC7qKYQAgs5CF0YYc TBxrFU0I0Pw6WynjKn7JwKzTRdtcTkQfqpWy8XPQE6kHKyvS+V+JuQFyoMK1jiAox29B4YmnVlML yMqOWqKJqTjxcGZ1QogbDPVCt9LblGvT+KMjp+vX+fromFON4UGMLuRtiXBya4X9+GYe74WV/WCU C+nDIgctRMEBiqVf9ksVklzYvs04RGKNDKQCx82Zx7Yw2523Ze4dKudIq7z3u9fuFknVbkFs+4eg RPEnjqhtd7WqZsn2D+VzjonLXbAALZatcWYeR69xxRTam/nmN86SW7PrkaIwNa2w1nl7jdF9187o 8A4dDbUp7Y1llcdgMqcS+7ZJhhchzEPRyDbwSzxm5Dyp+C8TEYmDO84Bpi+5D7iUDnOzpUo3V7Wa iNwqepZpoUF1qnCAhXyidHWdnGy8s+Ubb5VKNbZw647/2a7Odyelhz2MGQ6Q5v5QEFgYheVZjckZ 2j4xHsRLN2DQvsGv9tfmgqcZ6d2fJHXmdVHRNSCsX4eKiGPI+ksKMJaPyTl9HZEKDq8dO7hBZxix jj4VTbNNh9NskQ1vHgKcggpf57p7cDq+MeMyunBldT8rAz4e4LpA+3GAcqfDOd/ZUfNmJ+gkA+Uy 3m838rK+7O/YeTYM18pd1jxC7TEu6P4bC0L0vWcnpV9ZmHDue4MSA9rR1sJg2xo51s244l/vbCPm YomIM4PWSSQo3OI4aZnOluVsCTMDHGTjKA/Mk+cCsNQI4yMPnREAxJpVYEA7vDFqECklzyTN10oS rcGEVVM/WxLoEU5FCZIvP6z4jV8E/QKNeNJYi47rwRR2ee+m3pd/4kOML+Jt1vq4q0e5QxMaLRNA RBzaO+vZgIysxzgBsngU+4x5aO9nMiTf/X4BrmBDqRD1zBaa8OVTMc7IfxWUaRSRPJIVXQh2N9rp NBjFk56ELFRLe7pDfOn8HjT7w4Psw21qkWHcWMdFAXRTBtK/votyNa2qEd/Z77K2ZriHWYTxwhVd y/RqOMpj4r9Nmhd8QiyUkkTKIfIUoCW8HtK8tiCwa+lQjqPKDXHww900FicmZAUxngeooFttCh0a oiSYlhP24XOHoJIbAvAoEaxeYXVU6F3kN6SC6E5r9iMjWYSfA1dMhYQs59RgQ23l3QugWexsQky9 d6WLTYzxRuUzxrrqJaa7CroxljJUlyH3HzGqx3Zu7gMnbq7gJbqCEsT/V1t0TqfvonrbrTptpfTw 988c3skFMcuJsOhwz4QFZFZ1IxsOxUWXZk1D0YASYH0FYpyRyScSVerqeITj78SL3uW6VRsj28cj Ee8CUmlNdQgijnKMV7MLTkpxhxMRBN2G+CPWFWgzB/AuvEz/LJEfY7MOC2hUxIcHYy9M2pP4vZAJ h+4CxzjnxjfSgYYrejGuBgfKJjq7S1zRE4+0D4U+sC1WWtSh+QHcpvWmbdg7EM4fzuzr8lMUqqFZ 8D4tx49m0VQPrthm5Wf57HqViJ4mS4BNy1jmZPTlEd+4ShdBRq8odSE73jfgUZZ4W1NyAamTA3/D A3bQTucL8WV9DJUYCXFfulnbGFElcsYwXr4Vd9CzomaqnAf3soQx0+1j4XtSZU5vsHLu1GogJ9C7 tFvpkWOZcV1o4Hvgtx+BHqveIquXCi/xRKfmK1WJyvrox/80MI6z6Ve/TfqGiUFido0AShejSL1R 6Eo1g0rC23J3osUJtb95tSTiZrl3Oteseei+hory6KiqX8FeVqQGyZvDGKWJd55wOeW/WyMjHAmU jMNzJdf16yEsoBNbfxQ/IJXx6rQ/LLCgltI+dWk2dciJewRSm7IAYrSp9cYTHk2cbV/GDB6IUDBL jl77IGVMbMzHVYD5R0GcdANGRZC9p1hmnzn9PvT2kTO42wR0U0+OnEhrzS+EHZ5ZQFi1hHMdpp8e /OF2gEgC0unnS/3VJp39A4C4WyJd/0yaKktF57Ob0k/DNX+hPbMAbuVq8z2wYUXeHziOHteQJMyb sIj0D0NfuexaZKHvnj3nZz4AlNNnNQA7A85ulbWIRdme8QfHJ2D668kZQLzBLFPQhS8k9b/9S9Nz H3B/dSyOshLI8PRlaNVAwU5IrleiujUFDio0q5xc18chgfFBuw/PPe8x1aDO9qiIXo0lw3jqM3Jj TYEWjFbQNkE7pEvvIRj1+avuB/nZvyHD3MrNWKYIvQc8HGC8eVJsSRVs2JbZ7JhXx54a4uJk0xp0 pZisKq2wc1Qb4KY53kv7ROyUTdHr0Do1dJxvzXk2i51/1ofXp/JfsPjCPNMII74QJ3T25p2Xo//5 /4zomzhTdEnnvyJLbdhJWCZpfWh1yNH34HHbfSDq7ZMrEIooxdccxKRgfKnTFNAhGKQLAKuFHS75 c3EOmFqlWu3hh9CJPex99XJOB4JjcS6wvpnm8LHT+mVC0Vt+rYYqW5GPXTrWQwW6H7Jyy8g8XP7g poJbGkNAFPVHhmWraXUUCU513GI+YIVvlTEq97TIIgARWSYJonR6QoQbF/Eo/zp+FcJj9Jix5pGa S+wiglUU7C8o99VtyJgXNNDxk4IFDxAV57zblll6CkML/drBmFNcKR1R4G2PCwhLjE83JoEPQMtT ts3Zxj2bQVNgD54/0S95ystk8HFEfRddZdhZFI9J7wpATDw6UNcvOeWDZmPGruy9vzd3EZDXVLtt bacgqfxE/1DJ53K4kmy4qCmGQQ/SxyzIdM4oEwrKiO/lFGdqFAj3ZQdlnVmsb9TFAoPL073U2LNx X/BHsH81zcIN8Q/mXTR8+DKJ6uEh+SfpnoeY5XAi0E/fS0PrqoOV8g7sMunpwjsY3+jv8x20ygkl dBzPCpJWaoW2V2YBZhGKmKHbR56LGNfhpty3T9fGqHApP4J8kucnT4lxiGpkj4mXTnQOZYnr5ATK v/dI4snI9TkXkMj0s4+mt3honG2chCstLYUPqnhxC0X8jcE4shVy9C6oPq7WpwzGMgFzoCaAkJjJ vL0AvdQiDVHfkGYxTGYFt2U3jcxhvtXZDf+5qFpsiYPp8ywW3DVxkp37ypzg/KIT9Xsg3U/2wEPO TYISKHbu+fYlY4LyeTP5mi7T4dMXAq0tnvbwxOcmM1BZaxXuZgBBLiFdPT6n8JNdioTbyK0QNJpm lcxZICY8rgayAuMQHXOp+v6QsshxWqnE+1K/7Yqli7qYKqIzH+z5m4xym4HR4/AMGF5FHGgLY/2z 0MZ78TAxw+QmuC9lG482Qri1cgFFNiL0Dm+4ivBi5OcJdM8QSehPFrvPVSAvZuaUJfvTj1Dhd2wS BO7yk/jfHUIdm205udpKqXVl/TAFEM8HYKh28Ioyttvy+Nr/76WS9s++vxh2JM0m3ws3LMkyn80M dZXEscG2Q7ScIshGsEZPkPqSWKig2R4TR3/r2lC06e1RvN2OumOlwX5EmZfS9hoi6Fy0L2raw0DT XNvPwkIjX8rJo/7BXnn9kh907v8DEoICi45JZC15XfPxO28w2llGLLqBPiH9aeEEuNMitu/xULYO OPHQlFH15oV94xw2+bsY+gXxyqQ6jyiOsJPnhoeNGQK5ykrHQo9Fm27e00Fbe2CHCI5AvTLF5bYK o8J7XbqPtoVko+IxDSNDw9A8tIvtD7n4b5w3F2Ox3Gtj9c4JiKWiVezHmiah9ZqgByFa/jb0yw6u OPVzKKvsOYDr1S31NK8A3I0lB2yxUFMRz6jtmhsA3HYQMSUodVhsUAu/oKqzpz483ZV1jgIQ4OFe 4NcYHkSDK+rdKE4zVmHwWIKx9zIVU2hQzpnnJMd01Aa9lb5liJ81bDqnmsoxRr8N3UBxEW4EGUg1 dEPiC7JHlt8yj2UfPwij66I1tUVQUVp+sDhiAheJpnvBTzjAUG4pGgXZa9YqslpmfWRy7lec4MKZ WeOqBNQlWbaiWlAnzMiUOEjRKdiS3+EfZpN4jvA/C8JQtrR8FcMnK+wGX9aNZv/08mphV3ED9GMj Paj2BWPHGPZ1qVyoX1n9ZggCEZRMp5uxbxciT2pJTeZz5y17AkLokkqGt+NvcXE0NSwiT9fjbUPm aA7bSnM/vKN+o2oIJURd6IiShKwlpNhkueOj8/4/ZT1l1nOjuOrfurpqXB5m/7iYSmJ8j7xZuKNR d9qjGTWtWRYDYBlZE4diNGI306iXIn/8ABbluU8mCxF0CJLJDPsUE9yJJbc6vMoK8bjma2Ar7Erq rutLkeRbpGTXUIEwKlld0hhQB4nra5qAkFZXzYQmN2SpdbSasgI1Lrs4XVTxW1ht3sFrQU5Zlfc3 f1BaSowmiamllv9wRVPXczqUVptMObAHX/s/Mz6k80w7VMeEMCEmU/7wZ+ZFvTf6Pb7gB3LD4JB2 wzrajCiOeUh/U9wZa68pQKTNXmuDArrX08AQDJtnt/+MDzlyCxRYQrSOXRhjMpcoO5M0ZhJrGEM4 DdDIBoLh0dWji1hnL9XEzOkm11i4lu19G4yXppMlhqn/5sonTjdkfNgpdXQa5hKcVbkLugMCkmIX rxne7SjzRPBS5KmMF264GYdwGbG5qc6h9HyigGMblztRlMLIKVgjdiMU9hqWLsDtrNXsUO+f9ea1 0GwC6fFH5a7nFOTxxaZ+xv80zF4GkNzoUZgEJNQgQ0k8Q7skB7qL1N/FEstP7cohpCHQg4fNmiTn rENTS8U7uVZeImaWhWcIoSNhprG5OQOq71H06C8aeElG6if/Afa/4iRMeT4wtsp83Mqiu6cNFtka 51JmUp2VRqdc7ApHU91qJ9VA3Lfv4Eh31QD0mtgRkglvVTvhuWY4HCvK6FZluybTieEVJdvTsr6b 8ubsrD1qjicG1fR2bNBp0cA0kYsy4408cdoqrF7CK6qGSzZqyejAUMxxWHKfz89tOUxBDe5HJp4o YYu8RsoJmWw35dxRxD3xHajxQh4ozZcelD10BvTccuTtjtyWNCSK8U6NFdBH7fqaC+ORRmLE+gKb chPTYzPuqCwCaXQxeBvsi7SP/xRRdK1CATVwRrKXzzVJArFbRaTtmNAJDX0l0GplU4Gg/5bSo8dT 0857U3tGdb7h+T3lHFJBkURiKslLQNHS+3iuppBRzII/amr+FhRykTJXHxGEpm7opz6d/nLv9Mj7 DfZ7hxlPgII0GATfS69jnRKfNj/SQZzlKuX6HVcCxmlCzZ5JSFsDMNA0punja/MrqUP7YF+hD7e1 nwbKxp99uTZWHVFNt4b7dkE96UKcNPoEOqQ/Esh7Dh29DH8g/02fiqXBQmkm0f5PbYJ8qH6fiKlV alLn74h/T0dwXcKogySwK7syPDgmdNB75ZSXX6noUXGfAj3wSVOEdzL5SnqfQ2mwYJe6Mtwyhxqi MC1Oh2I4hVbGH2l2PugGXIOMmklRY87kb1b8HaO+IRakMMN3mfhk7ReSWXIabWGmPtmGtwJYMbax Ul3CQJ2JNPPCUBTWIK4xCLce3GCIYFpD7aYXpoYJeUV4BtC7tJu4fVjNyTZeGdQWntCpJCo/tK6t cvercOkDaiA5ksVzMv54EfGM0ziVoMmUVUgW2vgdIL+xmQ9mXH789948GLwqENlKvz9T6zDt43Sj KE2MO30/UMODfdUrdHWnduUV/wO6Uix7UwwriUaoxXdptWzQHORU5psjqEb3vYmpQOQisRDo5QuE YgUmWf+tMdVqT17hLDm2uNc5JCQHvZHYf1CFzd/n9RqmZd2zETvQfOyxhLsSDo7q0NHsoSjbpd17 nTJerTthXq4glBu+6c3FZU4uVumBjc+ZCm0EvXQg4yEqfFCjNoW+DVTcMYvLcWB0Cvj6L2rML6VS i5Ts/EDfAOF4N2SEJxT/NWXvySYjE6Wpt+0mwj0AwGtoIqOsJIXyLuNDl2+A0gKWERRziGrHUuFM wKBoGRl2o6SPKiC2//cvpZO459cwhl/oTPbo0/d9/SJ5soru1/hL37pppEwmn3goYaS59cf1w01l 0SaB6dYd06pL+K7BRCAf0Yhg6WPS07ghtsk3ULEqqd5IDlMxdzHaatZ2BqF3U0fRZLNXsALF0r8X /WS44GT9npkgUw6OgtvO3XTRKR4JLdFHNDxJZv68n2IgK7SgcLbIfwlBOgU346XaPBFasc9MKEjp 7ufUPRvo98dFmJ/zMELuA9kTZsfrxXKZPy8afxi7UMMxT6UjAybo/ykUyxvE1OcogJ2CgpFKy64P 9CMBJplhHnbl3gA7EWo4uBzS8ADotU22+rfK3SR9x8P65N8HHIfqQDCPDxhsEV0UgUinyh6CIQRO S0re0kGGHgeFgZdIJmgnKxegjp5kcjmuVOn+EWirBH+I+v6iEDZCzto4JP+rzibumQiGs+RERqUU 8cuu9J7QQjTlUQoMtrsQmPgoIgVeivYPVwvYJWwXWpPsofJZ9qWYK56vKZZj/pZCa6vvvRBJPjIm EZRh6wtpa3CHQARRyYpDUDa5CU3XNiwBYBeP/GJZIEyCWrXaggO3PLN8B5OWlXWBDPkYOOxsenOz jPCOQDcr9wsIiQsscUsYpx/IuhekktprZQpPASGXTj6kmQCcM7os6d+aQoaSJJRWVcR0b2LZj2Sj Yj4kg3ij9i+fsIN/dfdGdupDkGQOVPNFevVr9DYrMdLEINnGxDuxTzRlycBKghkdkr/cTiM2brmX bVpDxo84IId6xZ6TsgsnAQkUASeL+6iWznHrqbu5TMaNXzUKy3JFrC784rEAszlfoQlkaLxulqJD +a2fa/ZYS+0LQFQVQjaHDshRu5Hx0CbUKN2gHFrwyYJES+/UGb3b9yJQxCh3g8+niwF2W0HJPjDJ sclSLlXc0nVFDsqdwJ2F8zjyxRzRqgIBx00FjG6mUZYbue1u7/M5nD0SoYj7PTdFG/pX5Fjaj1ox qVn5oxfKBOo0gjOM3TwJ6gvlNvl/hOlQtLa7gemC6wH/ovei6dJSr12ZMSKlZ9aeU1Kem6fTY8gY Ex5x5ozzDhINrFJywnYZnAIP5LYEl+Wr0T/H0ApjgL5dP7HCbJmcQBi+weI3pJdsF2iRCZr6aDRs JVwtZUWDGBXHn6NuAUWZvm6wZcI66iM0ld1nUh+ULvHD5DNDqWtGuFTHjEOHZiY8Oy8Jck+cMfPV zxuAeVEcjFQuQa7sMzclOxk8bY6TXQ7U8QpDAAg6HF7z/fLbNYcMZrFYMm1kfNeWQ+9U0b1UkI9S mJcvkVsownDiC2qwYmEp9wgtwYGjvkenEloTg/23FdSEpBkJlRjjdYiDLOs9SuZDzQhtIRAuMeOz obVDm1j0mT8UxNMA+aHmUb6aO+7Xrh3+X5mTk04rRv9oiwlXO89djn34NJsYjdFwRceKiA83vWyU qjR/XW40jl3iqWUwv3ERwuY+FSygYBmf+a9C8o/htsiS14UPFUzqDmnez0YMdDXvij0Z7/dtcu/d ZFdHiALmJLsbaopfpijbnvfq24aDPtTfrkIu8/FffwaEjbLV4rLqEDMI1LmFy+03preidFtdLdmZ sLNIatxNb16wbeRZqkk7McQh22g4Q185Y8KLzoUPE6Dlh3R8ofjPUE22+ubmCDEmZQaD0o+oyFMC Fq59NGI77a5vtFVvbB7E0coydF1YiKdD2lnBFPK5+RotFTvnhTyhzuG16ks/Tt2i/52u9w9kQdsb XwE/KIbdooPkFcIBw6jRQUAwIMmYSvQDXGeIAxWOXrRnhpfp3asAKa2V+JJbCOSdKrvUoycaRUj2 KGlx72ewFyo7XnR5gUY/aPjk72eTvf9k9dgvCB/Ihre7oCxgbjEN2bZf5Jy3EmoPd0/bUJv7jwWp Ogr8rP+Jh8U6QeJmnRRtYqBEoJ2QepgsNAfwxhv+IsGMYf64g0zwGdlniDdll5GUqZ/YFiekev78 1L2fnV3o9Dr3WdR8y1Yd2meTkxS4aRVlaVmOgLF4+nYAYHaC6RGfRDE/D/oEO0pXsO0gIMWylH2c MMPg/oxN8Sln4dVvnilbtno40bFfN6TrfXT3vm1OJEGNGnwPScdHhVqBQBsA+cZsAfXrfmr6M/HM JnAnyJxQjooQOkv6fikiEnM9thYbSzn0x7FcptsTpZn+xkTCTSH/1II/hqLZHX76Lec+qeALFHiL ng+bwDtV/lD7hRDxVXAUkYZVCEhn4v6/tQfA8LlHTl9ejIyB2/OPYy/pGjYsHDF8woOYdGalAR9i eU8U1/Vgyx5uHRci51SX3jF4CKkjSOLID2907lj5px3zwHQsxuKZPbdFVRhptu2V5LHcKRIuBrby hHiqVF7yzVfu9EZjoRGAhEx4O/95T+Hoqhv5T7p9S9KdHEJaqRED3kCowTbrYp91ThCd2ouLrA0H UxIM/x20o8hZSEeO0KjJnSPstj7AO96IpotMsI8Ttrmsu10u4giKCgji04QByaU5G3r5nFJhp1U9 Xu2XPz62XBT5an8D/UEG892679PhtWuum+j7/ZOVqomVjj0ujSg3+pSfEvQRwvpkLNMDbuENPPbN 6oM4X2DCIwaavat3A1x/6IeZ/LLqdNNZlyTaMLgae891Q2dOGNr+pOaenUI8/FFfUWeZWZ6tjF03 v6t6BkCOVjbBADSTYeCl+VDziPpAc7FKuD081iXIao3lLJI+H+BhK8ue3Uln/Tuo07agsNA3VYRh LfKLf4+nxBqHjCCiXRpYbFFBIOctjX+B0TpJd0azh6PnNqNMhNvE+qxjTncVJKcmcOfOaUisjE7v JSb7mgmRH90KarqxnoFg83NDyC5QJ7EDPpenK5t0TB0vm/++whOo2ng9zFOBFGvfN2qI7IBuhKJC IAWlYEmzE0tEOjlHinT29xaQlxaUv45+KILOfDKnsPl0rD5EQWgZsY1EvVeGRt1ggPir9/7WMY/B XfzJfstoLFMIwWb6mYjBtuVCkMRvgbjoJe3qv8bRYzFiktuEFYrRlWUFBcBS98XxKVSQt8YvPLWe TVmhajpiUlhXrOlUhiWQqESXQb/J/OjaeExiQ/CbsOHvh+EY7MeOsjoldIyWEO1eKKQKyCPID9/j 6QdBHxXCqT4PjuyV77fvk4qz+q43CYmz33DxGhNgucjxytR8sl9cr4H8fdDMmALhDyV/XYfjzhbJ buywwKW+dGMEzK9p7KXENCYweTaxrCMuPhSEL10KItkD10efFGsaSjyefnedDFqVl6t74J5RrR+H zNsY/lAAHG81HIBt04wQ+MwmYZJjzyOYjE6+GVBGj4yzc6O8DlzUPliI0nA2HxvD2/Wvikyom/iu Qy4D70aCvjnVC1Pj2Eoqc6UKvhMCr0OvfTByY9EU1whUDx4QOSQAGjfGT4VZApjzkHFar85P2Pfs oxvRGUBNZF1qSy1F6ZGVdwLySzk+LL0RFsIA4s+eVUzgxiNaDNOZ09lIUTGPnzwDlhUkkIYelkjR zYXhsnuQgW27QCoM4EohB/07mW1tFJ2ODeVT0yYDV52BpZ7vhfILBvswPmpQNRI7EdTMaa3NkIdj GOqHiZt958DRGPWlAehUW0sBeJz9YxPwRbuUUKMfq0RTJlJjj8v+/VJR5xtUNBzHwrIo2oMNs1Po yrkFO9p3TKlopMIrEd/RWSKqTkLxD40lyVpykeKv0KIuaaep5p63D//qlCWFu5TduwllO/Cchz6p 56aOG2Ub38aF7ZkMtvB3FBh2UIYrD1jamkWILTU4VZug3aPW8GKKuw45HP72QHFVl0rnSkQ35L6r 1cv5RT3ZoaxBTEDXGRT54X8XzZYotVXFHrRy3Q/IbQXeB/MBGJMNxGnuJHMoIMrbbFFyLBLXx4iF ykdt/IQpJ7DXaVd9YjR8eYkXJv256kV0c90HhdtO22VHUzesT4YUz/sMhCKzPAvnuqqBlfYgtg9M 5nc7N4qPwxUOzP+tZ/9PD+5SE5k0zXRrFa6HleVRdCD/YvwceBG4Efti0w4x/Zqzis2CUusnB4tt Z8I1ATnAf+CnTIZYL9hbgjtA9bUVkVlHF5hr3Q5Zf/aML8+a0dm6HdSvvXwpXUMEdKMlzXaZUC2H jDzQpuWzriniq0brd0ScUCCdlpCaKlgbtrcSTD4n3dpsQnavMZf1kVRQS+0Bk56PYh5K6XY/ecbY ssTmDVOoLzak6pIibShJLDFl8nTHB4ALyYvSazRaYTWnXMEH2HDGdOzMM3QwvMc2bb31FooN3Tv/ UMFTQ3qSPPfLRIlKk50Kkjj4HHnHYGvQOYQEc+e+pjMDdLdPpQIhHy7AYdLN7cIn0d4p2Vz9myZY 321W31PJrQrcZQpM6axN7TYLf+C8sCOAS1i2t/yRqOvqplJPKsYtRV9cd8xm/CrXconXCtG+MtDj AGqQLi1FK2N+HyLAwdDaGMCXfarD60JoUQTVzWEqpJs8bkF/FG6BWIQQYgT8UWkVGzN2YYI9MeN8 HuLcsUJjKJajpRlRfhZ+jsFY7XHQ+/DVgunsliixIgVroOBUnryCMEcPF2B5vPBaathmlXwbMHXU 5Ii4+akRmd0fKFyqgIoYXfeAt6dTeztIykOK0xErc17pLOdu2x0LXKxImTXFNS0eto1ab5hjoM05 tA5Ig7LdsG7jNm8HREQcYrlQYAdceTmRaEnK2omC7m6nspgTxXJzEqjZoVHgfIgvQLx4+HXzCEz+ WTnBpQe1+16xihQJ7BPxU6B2qZjKp/KuBXmOWWOhY9yKQmSDeNC8DgUmky413+js4LJ7xGWnKnsR sO3UX+RhJhWV9h5tdnRlTXQAMZ8wdBRHQ5c9bjR4CCxqAkRsZafIgEh1/85EPdHrcyjUs2pRz6RK itCMhB16FjM7HoDTlWD6yD9j2Q7o/3VbanmxmbMD9jD8DjLMK9vPdFnpZu7tCjLUprn7MFuD8LEs /rmSZEta71ipxFRQIIxXL5UfI6P4g2VH9efBSzVkSUz6PRiJZYBM3e+fOKZkt/7OiJkb0whAumrq bttfk+u7NMwRCOK3eQ3zEN2rOt+UUMt92EPzk+4oeNxBKXmffetFN74i8/9LqRKMD8lpKB5ePnNU tUF6m9UwVjgaJdFjK0wniywTy0VffRqvU4yr6HWK6+xSxVNJyboA9CUQWZu9Sqr1KQjF+Dx39/eF MkS7WrpbPhIiqiV36rzDbG2YKZpU1VxU8zrD+H7TJ3S6MhMj9hl2fn8CgrnetB0apk3SRAasSRbj bQ6bHMbMTqDr2omyomEKfmZ9vbuXFm9riyQ+6140JTBNuO3MxtxfKBOpBsZrFMglkkT5V8EqiF7S NxkoB1QN97IJHVKrlUrdvTZ6tSoQQ/jAXn2W8ow2GGe+by2c+b10o6DeahMOcxak2kD0bopjLtUZ 9nm3AZrvL7IZJotaBXBAcYdK2xNeOOqFc/QcjrzlEATJnKVANLSzFnyOGThbZrdABb1q4yLuSZp7 Ibm7rg62HJQmBmizZTUaZweFM0itKJilkKk2hiiNLjXU4HUmJR7xzQEBWE1aLETaFJwDDn90bfX8 Eutt0fc7Ywpm88lBlLx2znVXXAO5xl5vx0FQXAqtqF9j7wJAOGpJUDrLi+xXAddlGaLs0/aOV2mu bzf+YhCLdQTkY4xYhSaZOlrIXF8TXjGjQmPFuVLndkWlM0G+JD8woqNYnPeWDU/Wi5+hcyi/iE2r lqJM1JtKPbQWA9XJ/vxixC5YGujCLyMeDZvFDcpCZIb1s2HXjjpeOgcwRjs3ju9RU9JlDDOrely8 jAhsR+DlturdXvdq4ki1/E68t5QK71eT447qGmH7cdiloWe4yaRXk0IVuK7OORVbKuxCbhWhiyAO xTam57WSWNKHV2kVK6+GiVrvHQAj0jzhwz1CthRleJTJ9VR8l3sDtJmfwns1gSj30mmZbCXhqZ26 aSLuEkv17pvOXqP3SqAkFma9smnqrLYCjdxGUvm4bnZrwJNWxtIHPyw2PvQS02VA4Em0ZPFREBVk AKJ6PaDzE9sD4SAA/LDIIpDWV0HLtViimgnMDr3jSN1PoQ596MJ9zHq0cGFSOJixXSH0OgnUwrnh PtK7yrp4wzXigkCx+o3X1LlXEgFW54EXxOVZeuic72ILy/ZVCTtrthR4yGlqEGnqxYw5+mL+n9S4 IQrb+d61/I8GFWv79YWkBazlFbBYL74t+pZl7Gb8Tx5ptmuyrVHeqD4iCwRnrTiBgUtMvxiC7oVh jgNDuFgPhMpi0RdO+58sXHlLaMbOCO9hWP8GMkbRYfaPZEut81e8+qH0vWnL4thx1QLnv1agDipm GzGHKxUbP0OOIFxPZ5aPlG5kvTs6eYi5O8+i8QDVs/sFKk2xFtIO+Wl7OyYWrVjqyhfj4EJAC5a1 tPLehB5zPOYlvDin2IAyPQ5VNR4Wilswy3FWB3jC61Q40eBNCDfTPOF7yLQ88IpWZjCD2snvq8Uw 37pZ4OZH/Oqp4iQn/Mykp5cbWcXp7RxtwNTYiA6r4NyuP6m/16svmzmCtu4jmuzdvZs0A4ZSS0Zr XKWH/r3X4uvivFio4NzUmB6ttSXeHBEnndkrQiQELXhbMC6DMR7A6keTYbdOjvGA8XSFz3efsmiS uFjj/bgL6B9AB26VMMhENtxjAF2R0OvSgWCo51aSbdk+OlqiUXD6IXyHzSManrzFemL3dz39VNl5 O5FBwmtkCTm97cXBRfRhn6Ld4IBftN5bKOMkeiYMKfvjKWutzkPxoFw+ko75nUsE6c7hC/8mO00B AUmQ9FpUuuXDnpc9IdOZn6E5yd6lIVdto5Nj1jzcr3I8fNosueUqcciSPs4v4PP7uYLilfAa6niE SySbzm+0UjgGXBnlZneBw+j0RQnzEwP5ram52wSZPOhKLKbqgFR8MnXFsePDcN6LSfCwfM5WKfX7 GL1eHOJMPcL3U0YmRcKY9w/0RgxtjVNY7X6IqtXyxovpoKwAMKgt/JfR0zDsvOJCeLh88IbSbWTf L+7zfn3zixTMewVZdEkp3tsQwGXXoiKbuNsFo6IC/oOXqPRnxUjMFjDkjITchV7m46KIoxcK581O 7FyNs8sml5+pp52FSaGffDadodnqg1ixPxGP7vRLzZhhiS8TxJUmYGU4aNC/1X/6W+CnulDA3NF3 PJfU7topNbVUaHBJbS0btSHyZ/ffwSI9iSe0MUtN1CjJySGMoj1w+Xzc3eN/q4kr0+InfLelT1Pt TWN2hemTAvJaaVJemH8NJgb9law3OZqAMdmkinNjNnFXeR+HyqKVZlPzZDgoZoRrsXW5aOd8dgf5 wHrBxsWyMgipeyTtv/f9W5j8C42y18AFlRSxysuignNlQ0SQsFqSILYEAyGyR9FY7KCOB0mXvA4K y7SIKrjVqm1kN5SNWkCMVFsZMlgSAz1Ha8K/lcGtAfcabp6uJfLvXUsyl/WH2I6Bt5g7N8YLZ4YH 23/jNIylrA0LRca75i5DbkUUuYpRgqFReTBV0uxJitYYVJO0YyvFg+28kUBHvO9uISIge9y3MmsT WdvH3eUx+WkNehXmf2ZLTPt74ETbce8HAsTvnBKguD7Ot83iaCFNk+1XBJuQo1ScRqlDvu8P0PCC CJaPWi3kTgwdR1f8+O3hWWBwE/5B8HbBOIPrmNQUpABZ0VEvJ8oYFC9lEa1T14e1ZHgVZivTmsSV g0I01upL56+Fck5Ts0oSyr+7yoquwUFOxfYceefIgv6KAdeCrnLkbkb9hXFAthSppo5Fgud2awBO PngvipRfuLq9dIOzMszKA09gZD00cKR1febzffnrBveoVRF9FikhCF7n7N3zf5ag2gF64SRa2kMO wI/Ya9fSnEczGnG4X4ut38bj8f8oBE8R1m3JYqJdiD5cUrV63awZbwTZMU0xBVhZ8y93uwXdy3tk M9cBhNKNMZJXkhiQdMh7vism9h1yh+v8K/cIP/ODR55+zxfvi+bR7CQsUKsSQhWuBxXx8Xbw8uX7 yIPY7vq7XnhltHgYquy9PZavu+pjL2NR2OE1/rzhBzEpPQM385BSMj1fR+RN5MVPPi3aiIvQkgdb CJVxVq8bkIScvFXT1J/6pI+RRRhFib3t859E8Z6TAvqldftTB9Y3QFA0d0Ejg97fMsUtgeToOfK1 XLGaJ9djTR86JhcO+TZetvZWBgrT8bvwdyFsSyKRs6Ke27+3qX3LvIiouyJ0k5MHfAvXxU0hb/hE bnrlIQSjFwppTH8Rh6nQ+DPfBinMB1pSsthart/B5nsjjBHNUXog12r54UxrUFDpAp9syxTl7itw 4mgi0jTdMSvnLLOy9Gg8Twrh0osDLLri2X+kSEKcFdwmzdo/lnWrzlUr6DEwpSqyq9HleU/NUDGV PhSufxH57hWphHOodlJXo4QGu270e3XBtHw2guiJACHTPHEjSUaB79yFfr4V1yqWssFsrdPEBsTr i3XPRF9hoCvOXhLWR5wDCbGONaKkEzuPyUjkE4B8A+6IpBlXzxY0sE0tgJvYDyEGj4tjHh/CIbBA egbj2jjf+fkJRL5g6zidliVZofav3wn8288QJ1pxY4yeSdD/WIlYAPBbAGsDfbZPCo9dYz8VaV6f AzBJwYVV3cspQpfG7ulgc6vnOV9w3jkKfFAMAxCDxn9DnDJRnkeI9DU5664Kex3qpU89dLeFHxNV mPQwgJHlMa6ePRxYobE4rkf0VEJHvmXL5olUBtopNTaXVB2084MWYVOcYznjO0e1QhkMRhSjSXwy HGLFP2iXlBIuYaQ4/an5YoVgEyzoLLvMp0cYiIgS2JmLt9Mlai8qzAiFYXPnTEr8al0+C/SEQHNx Mp1Cs8fNkLPB3D6tMe4A7tH+dSlrSC1vsrnrnzo7IRtjiUmHfGK7A+kjFEzs96CkNomAzQ9kzH3u 00rTafdxR9nL61Lbi6AweWxXhuKvtOdIDgPax8TsMMnmtRHcG4COO+z5Nx8vRNLMBXbB1XWIhBbV TQv6/0/EvquUQmw8oT7AtruNh/OstJIGFyioPntSFZEc4WC0A9x9Q/P0DO0GPT5hO7RC9V7x6M9y T3GFNWuWiiyLuqkOmh2d9KqaDoALRGncUXgjo0zII0GWLi7kaCaYOq4IuDBKzC4CNbEg/GHRT+Aj S+xCNCnB6tL6jRh04gFJEi6HGdkJ60KkMWqqe7B+UftK78Op1lQF0ouQGF7gpqrlO65Ybs019TAz Y1RAnUPd/7nFTvq5jd6P3pyRvaFvZ18VfgqXrzlGK/EbL3vq799DVH52IbyTUZEuIbcIJyG93f2a d2teDepxP4KaLMOazGlaQHv5qyJtV0AKJcFfRAFkldxn39C9WP1120b+dYLMsy3Ov35w6zYs0TxU OarxUtBpqxfXXWuYtejxMC04l/XEHPJU/NlNGRwtvCLtxJ9XDdDG+RUSfM63esdZxpup/AFdSUtD b/mGOpb+pfpi7OBkekVeG2lIFh281hgU5SIbzwuGDnraxI5CjgSMEa/w6paS32R2eTZT01CIbgGy 2RmkKQ6cYz+RYKMGvDxKi3oWU7I6QfRnqM47XB5Cq5dBGMd1GXPgx6cejGSMPzMkZ3Orad/pyDqj lH98Auo7aoGZp/peEvIQY7rwd5b72rmSVKvjseZM+Et/cfmpPk7Bs0LnaiyxVnCmqf3pn5EsAYT6 RFXGmkDZflZBMHpzf8WMsOrgnvUtpypNuSG0yJ31gALT5CHGyUvq7zVNg1qIPZPZFbWXqsx8k2gV 0IB4AFclIgNdbhMydFJvLgwYSThniB3IOVD++aBy48Xsx/rVwAsDtCdoqcCkHljsUGGOe0IfNt18 ZAt5awswbm2r2MXXVM/zgFsUFzhoGbn1uRv+MtalDrLa5CMmunstbRWOvARKxX9N0bHM1HY43fOE MHC7kB8dLRJVzZ3djwg+hgxKc10NfZTL/bRygHW4Iq0s7Gvyzia6XqaQ+6wCkSjkWZLaJVFIs68B Q6PTWKKfS57hZeVSpVKmWV/p5qC4uFbE7bnT+G0OL+Fhl6cT7F64P3Of1wQY3oPlKVgCotDqC0w6 o4dK642CoJyEWSmdvEmv3hfORqwaTvnHvUTy4cpCon//T4iF/9u9MLlU4o/o37I7CMjBb1YWuntj Zr8DdriOXBQeVTo/ScQnD2FVunBiU2v89mkEtmZnwOSh08N13faC9AILPP22TdNQuAscFp+3FSYp h/gLnv04st8rPLYuSGncDa59vrK6eiPW+j1U3JeUvoqj73yDJwEJs+8YgD0IH6gdu/ZZjN+5Y3bB 0n4yfXBy9xcUQ+2KTsrGn+yd9yLPqbAyvUa6Dd/E+EuihOJoRYOJHuigUFimhjQm3rX5ROZ3Mtjo hjBXVqqdn6PL6Wim1JRQjw+OjW7nIzfj+GOh73/X6teVb8XiGe9taDnhnCD/wI8WmUkfDjd063Fi 6+75M8F2H3mTiZYkFMoogImsNy90epabXLr2e/guDkFiuTF7h34cRHyAr+q7mLgiicrJWOcQDejc qkECu6I5JynW4wGt/Spf2xbnCN0X3k2+8wewTxcFRxdnwN6qOPIP46ykaKgyVwBhBBHW4kQZTERp /5bZC4f+gPQd6AJ4MH/jf1HbcnSvM1KKoSmaFmrlTc7I+eaJffIwMK1EZseZdkTIaf9QZSf/55vq +Ayc7YNwJiG2knIFsyGXrd3VEGGoPl67eMpHGrZaHu3ZKMCEuP0jkutwlmJ87GojPgyNxKKbLu+B Qi8HU7VCCamPi+CKWRf9LCtqhPTlZG3tIu9AEEcfrzMEI4OqXjOG/ne6gg5OiYJUqUsrpN4yEWCl GoioxXjs7Yhsro2IGk+zK9I55vE7d1naktJQevL4Pa5qklLV4KoAjYfMYIgnYh4QjbPkqArDZHZO ax5XYqZgD89USVaG/htvFGUcUHUXI7bHcf1cIE0o1pSnKWiiBldZe5qYevdgVRnsyYYE+oScqGHH PATapXfAkMiEGVEHC6NwH2xgfHFvP8K6wuzynH/1aQBpt7TeuYjQUeiHUCZJaqIwKTdrakcPeDBL fBchv5yAh6Ko0VydocylLZTD+8E2mtSmhNpKmV6jT6/1DXeGDZj7HclrooiT+5zHf4/ZgSnGjIFk iECTDZpEYolbwh3LWzCni8luaee1Nmu2+inTPARoIOIGaYrrXrmAqTwy5z+Q9CLFMuWrpklhKYu/ vps4cxbOBFenNtZ3PNGXEqQtxOkN3z2yaNpmfipoDekLKZ3Y7uY0AYSGf1RHbjrzEVMuxx7YuIB4 7T6PV84vlAOOhskxdHBrGdtlofT2x7xvSATeSLaXStfoyB5Ar3tfxY1YAVxJm9apc5SekH0UaiSs aTyN6gaPWoSGwbNHLMIo3rrzVJjouK971tQbZhfZ2fFGBfs5zvJkYpZW9hrKHZqvnr0TbHdUASz9 vg3QQWGEL0fvGmH9osc/MiJ+1jbatRC/+guhhY5Xk2v5868xOq52tctkGxWYSM5KpmZ9X3FQhWoR ifwoqNe5O32X6BUawtaXYIz/1ChwrjZix78ceLYkXPNbMUVNTbhN964hI1J+ME6R8dlALWaBTUvx mQEL52l3+Py1rUXYQ7Ers1+s2IQB8CTA+iTVRmAax+cepZ25nFtRRbB4XcbIhJhHTyfpzkqazofZ 49ZHebTctKhNxals1OlMakQzrfio0zjG1VCNaM+Q0w871Pec5+o4cxhmOKwNcnFfeLgoo/z08EGf SAGdB6WSxt867F/R3MQJZIHUqmNa9tyXq4j1Xr+qdGl4zrIZ1fO9+hAHDqiJKDRUAKhY3HO3lswt 095yqwwpgCknJjl9Gs8jOd77ne8yY9tPPc9i26CHsXqvy6x53TGSHVt8ak8rwPujr5NxQurylOpN pH1eGT2b3UE0xtkbH68ONERGqLCa7VN/FZ6RX0Au273b8QV+1Jv0aGdVGGnXXCfJirs9SgyrA9Fu Vf+/9xnA9fmRsz6+7hv8SfAt22zZceQHMbOd5/uTKcRU9ySmMJFbmrdqxj0+C49KeIHWUhyasXD5 pNpQkd00kpfxEn0ad6EzHmPH5MA6JBD38q5vFbLVCfV0/RAbgRH+qpRlRTGY1r3WlMgt3itq0sl0 ft6NiCuj6S1Cf0pdhJpohEtgtdgRMlEi3/tY7sBPm0kLu837yAwFYIYbgQ9savEGgmyGSF1KQp03 mkJVd2hGn59YYi3FTE5OzzV0tTH2wYb5vTnqI9wbbplQVR8JhLsBFNYog2bBeGLIEDBZUuGTK1K4 so6ux45nlWXbhSUtSwlh02zjevbGaHfvk762rh0NQwWL9D0IKxzwf9MaZMo7fjlAne2iIh2y3I62 +NpNx3Ek0T9rU7+ogVHSu1M738yWB68Nv6CjVzHqLvpjHcyUU/eUSvV1VpoyIa43Qr+6Wgv5VwQN ZEUHQjAPnwyHGep0wwJ71jduuA5yhk0ExsVX2j2K35aY87CyXl8PLdfWGPIYBFdZoK+rakX09t4D DE0md6K3eXi4Ml+4FMhab49xJKJZTdjEjo+21aNV8Lrzgc5B0KpOiDzabweOqasbaso75Aw5JsYh v+ACaRGI85JuFWjJItTXRDrUI67Q9kGmSBk+ooifrtpzKTFfBagR1ieCg/FDQQPfRieyUz91OmdT aZU3ExnD4n622RmPNe6AUjR50gCLim96a2jZFKwqmREzUun2THXrNiY8niLmIyy+8dEtxk168oAt 3/w4GYqNnxMQKmKSTjmH5B7V1tTXGuCRpoeDpj3p/Qaoewvw48NcoD1S2QR+enN+7nESWRWQ/I1P h8/MWajtRhygzR0sG5qwFW+6KasBSidV26U4czMAOXtmqgRTjzx7cncDWik4VuIExwVdxUxRtvKn KjP0v9jTKLARVmDCYqTytDIEjvaqGJ8Xp3vMaWTiuWV+LCTsK/lave5mptk2DsMKvNrc1PsaEJ48 wCCoFt0VdYLtRgsFB35/DX5thyI/T/Lo+SAwwWj173bMGTVDgQkO6HplmsW8chdDEzuFnMa1OKf5 6Li5HY+1JMcXeO+5yhILKUjGOMjaEP9/joJzRH+N8DgmXXdKO0+GQkel+oalYsWdHXtMpzQnvDqy RwZRH/QYgLS9Wf/Z1KFVRooRRhaOKCoqJK5EOlOJYVgn0QumJFBiFriGoZtBTGQp57njPS4rOgZx jZtfpEBSYiYfI+cjcXTO75km5NE7/tOrMsIz3YuvbS0Jmcdk7ewX0OLleJriLSZdh6HkAsCML54v rdhbHe1FwSe+/M3OnL0D6eAr1xnBXi9cPlTfJhga5OmMNYWT+jgsCdmHH7nk423vsNBnVc7bRfbx mCT+DysLAji4pLwHEVOXiptJV/wJhfRk/Wvbnc9aKyK9y/1taOy00UEajEtBmwSVO4XhGblweO7V jyU4FNY7Sq9xLTmmRC1aDrH+zeTgPkfd3X2tfL5L4EwNBbK0N0xqaMdOs9bjrhuS6PQqQvLpqqlM yWG2z0wYsrriPKAcNfiv4pmRFhqv0QBFL8/iyL5sbIq9CEJ3nK7X5JpX7pMJZG42dKMnphZfqf1R NxQwvIB4AAI7MzVNwUPAkQOSYWgieu9OrgIP7dVsQE4qNWDqJJjHEaGtKex1qBAq+2HQkRi5fb6F zqAQRZIZ28GQIE9T5k1o1bkG2kCmJmA1ZBK8hQ9cYuhxgcwxEHT0yD5+WFYTTdJedAwFuWqM+tx/ 5uMR7GS78VtLY7Prk/CXEQWMVImHKjaFPa0WvswJRS0Ynfs9fLPhZj52Q8F8zciwRLG/mP75w+y4 Y5OxtDCt7vnywqDuI0miRw4CSC4Ayy5NyuLU3o/XYrM8mJFcP5SP+HDTYM6xGPYNgj732XNA6QEa 4JHtoydd+4i2ytRx+tNLsM1ZuPgPVIom6sahIzdU0qkteAdfsqWsyJg4LOcMSeU6sGzCRGwwcpLK H1UNUtkX5P11V8FM6URTBnQrOgPC8F6zBFc742MTjkJLvPsgs1LofuVSO96TB4HmQgebW0MnUH7N XPC6rx2rUn2ICjpCmBYB2uz6jY72ow/k8BvbcyEsv40Z+MhKP+S3NDbvHKHUjakLmnuURLylrnFe bqwSdekOPu1Ao2hTAxOZcmSfwEW4TgF3wNKpwh3Yrf3oCcXgKgy7VNYHt6ObEEqBxx3/iNSQ9s2B u4bynF+AwOcM0W5+wUcp1aK6emItR8ZxMYHEkz5AQS3+xZBOlmyJIGFVhJYCMCxi7M10jJSpnjWS wix4/CfhUT1tovV8yXJstfBVvoGjjYK+/M9pYIiz2A0JTCJSuJrn6UuUgmyF9J0U1oaocw7Td7VZ NLbeiXtZUGFob1MbUy9w4v/KKvycN/u7oTIev6WYXvdLjcH/+yxjtCddtkl/+QOQUNk6crMYZ44l LE3rNkveuuBSI18TjWC9vvcrPYpFrF+nw9Gbc0pdOVkqRHS5SWj7QGVT3VO2ayk3bgtexy1GOgqs WkH/HyPBNXA/7dtNo2/4xTw7GNdlqmfLtIz9HdSiG/qxCRRs565lsLAcy6+qXYCmxK8RQWusfKCK M9/LQyZjHUNvycsx/8qXAgc5fGiUZ//WJbE7WP0LWT1ywQdgJDoA9WRovozsojXiKz2M2lcit2JT UxKlFcYA9S6ObzNHS2glT82EraKJFwxeF7QY/RJxnZ+H2IlKmnXf5NkUvZ5jVJJfqRxJK0MsPxtw /usmuVCgiUMFjnwlt9ZTVE46eGK0k0BK9fzv1KG5Vq08U4oZQZQ/FZTrUDdH2lqmXEYGtxZ4CuWA OWGoEqsqxvxJR6Yy/FsMMg9rz2fW52Fh59Nk7joN2Q5t6qUxQC5UldVtFX/Ba/zHQZvOGfx9kbd4 lCvOL0+cEEzRItOI6GlgxsVilG8k1Fsg1+GxLBpw2RoY5Ap571yQ5v9ggkFYgZtSakwOQZoCb/R0 n+9EgETHu6EinV9lR+/YE5AWHnwNDpPeNjn97o182W+qxLtkfnqucG4IhL5yY5dpU2c4ZbuWXXNC 30Ust3vBiOdeVom4wCQ9gEvmjxCxaeaoIQcBcAE1/AHZvSPXsyGNsf05Ivv9cJ5ww/GZRxIi1cod KRSqDDRBpibUZS4VlQ50mhnPzGtGmr/U9G4Sz5TKE1XHCU/HyCByvTzyzDvph/b71rkMN96KHAwD 8jy2SrCxz6oSxqQyKCcRvw+37MewHMxCzE2p35uCq5T1VgBpTlN8UFpjYDaio8SycvNOTECzdiBP B2LD2bIifriido5Pf8A87J9XYHq1y5aYH4WkkSfi3XRpkBjaPX/TMj329S30BwvekeWMOR2wyclc pQQHTVKjm80LVF+W8CKzRnjk4IPGeyzEtMwxkL1Vg1cWJKLdxt11qS26+Szc3P/gbyL1PB01UOis o+ttkpRk97aNbByXsedQEkLUpeslc4ktwS5qnBs0kQKKVwghQkerpCYj67UCorMcFsnCdiujWT16 OshrY7woiPQDSWD5UDKtZBUrsKx8TwrD3nmQ4wjKsi/kRbGuCrVsR56PiI84OpsYbNuLibV65aAR mXmBdqvqlepNdD5tUd9HiQsza1GkoJJUgsZYn2RLWZonlAbqkeiuLcBte0Zjip78FUCykuaEr2/Y sSkJdSOgnDi1CcB6MOFCe8c93SLnY8LYGsHZyXkijehv2lX3yMCt86weVadiHYEpyn/aECT4kX3y cwWZncIgO2TENJPRo8EOfDkgs0ZnbKyrSM3aRecMxj1pM8Q4sN9njg6Tfc7HmLr62dK55YizCgJ+ bimWB5Lrfj7jNrBvMIIdwISydjIiOlopG52bDaFKd6s104T2UiytEnGc4KvoZ4CL8a2dnUSCASvE KX5k34CWExTZKQhYBcYTCA0qsBb5k5501M11eOQZGo2mCKLXmWgo2GogTAhi03XoUMkStm8yOw7l 21QLdnsrzpMX5jc88YNGsjAqo9U2IHip+Yrr555ypOFUnSxBIkpI/tSxRIKF0azcIyvYkqUTrxY8 f37P2xFqJtYPKwBj19MUY2Yp9fFMGVND4vP2GNuZGX1T+MLiI4hJC+c82z+kR8PunD990qbKxXiz S1SFS7D6MlPG6HpMtkZuqsZEo7kzBvUdaMehSVEgnhTh/oSWXAy24MhctLS8cBHw93HETcwBrxid BoOqiHViV2CSQfJWtNz5oWqm5Mpk36HPRwoHBL0Qr1oJEF7xkIPtDzmjCRjWL6cUTIw10Wh3rdSx CQASX4l5JGVX87w3GHLNGx+Y3z5RWVseh/DxXDdVJ0duiouKuVMALNqjSf8hE/E43zLK+909IC64 3+BMmLbQD3C5wtUHru1v+Gd3BdUq3iDR21/B/Z6+qsCqs1Myn/xH0lPTXS7wIXOt4zWJ1x2QxBGS 5RR4bfU3GY7vVBpBl3lb0rop5jShAB0YIDOOFV2Kxo7IIcMUVX/pAGHAopDlxn0f1DeGcyRjxCrY PMHLfLWz7/ECZsJt84QKffmJoq3MREDbrkuj5c+GC6fu5AgQPzGuQD8WqwbfZcDrTZ119L+SjRjQ oovW7U+YRfGOOErG4X9ROQ41R76OmTHoUEOeBdXQLjDjrbCFJcweYIcGQw6Pg/tmQwM5W3JgVt/h 2mHefMsJnaVYATcSzw82TrkMw17Iz1jkHuR+MWFdwBDAEWZC1zqqFtKK3tEoHkpDRGEp1iu6R6pR Mh9T4zHXy74HiooehbEbCByXnHduiP0kEBqLrn2cKG5QViEQEYjXDmAApJgcD3OGb7wvWHi2WzaK XMgqqISIXG3gB2XoO7D2QHYWpU1jhi5fnGDvPEXTLRrg81AFnrsfyjjUDKDAvQ1mdvcTFq3YHwSh gRniEqkNMQ1M9tp//okpNjPIq8GMPtA9+fKg+s/wA6iy7d4NWY0NbfMNR6Ew8Oh0R6vn8wykcoY6 tAX4rHvgPFiTzper1GR5nfNWpd45wGu9sFN4axNGqvKmRziY2rGT1UFJSE7zHNmVaXTR+UtruaOm kWXcEqgWCdbMR4GCUIBMZ0dy+SkLsZx+WlrJOgu/g4m+C28ySkiPBClOD3L6kmNMKzZMER4BN+kw UFeBJI82IbXyyatfk1PIn+GRjHQfTa1BthhMePVDc084lUvz8bcprGmTQoHz08iPjoN0IgOrBHeU 70e4i9v5YSl2k+aV08gnqaZl2csvCCcFZRZgaFVGKEeWgJoQhUW8Vj8J29zpeR4i3TzritDCyRwJ I3IlKfJJSP/WruzS4Ld/kTq58KIBUhot6/VX04gG7vldLPenlVdr9dfBzeJmzrz+aaOC+IlAN4mA q8aCGEqwSggYIMx3LprlMxmXxVwcxjRHPtg9sSUNWqvvyEWnniPNkNBv59vhyPCAoV3bCc83eN7I sCJwjfbUGSHzu6yU7jTpC96cq5I768faPmq2F/2xLSsYxAoJAQQrnDweUi+Iie0t8Hqz7yxl41oA r9dMVQJEr/FTl/DjLVen8e9/U/sQQEzVxE3+5zjSSxs0uEZg273DPSAQzszg1ndA2ID+DT/yvI1T VJBlIKqrEku3yIiick58Kmm4+/J4a7HnV1wvkHX4F693LPCBQRm17MDM8gQk+/xqp79RaIrF3kOZ xgA50Y0skWDISriPDBFoWvJNY3jhn+IztoKabWfjpG6AZdt9dDk6Z5lmlcc8n9X+YTt7nOLPWMFc KBrUl0pAihN808fsVC7QEbdH+ZW9z0q8HH/74AvqCrm2DQxS4KSm9g1z+HhX82kRIpVLGxPVtcbP sNy5WIdf04lwV0wDlbbYXESJ2cn+jcFqQ6wJZp3mKx2zz/NGUcLsKCZ0pk0MP9OElLNtnspunU/H P7vZRZDSVYi8rFb2JF7SH/Xcqna+kL9f9uEHe83t5yjROczhfR79xy6sj7bpPPYbDW+zYYHJFYKG 3iWRzZldpJ4SRxXaI1fH88hOgFN0t4PawAgn3Pa2cN4k1vnNW//RDOEzEICAH9unMx3ACV0xxaQb aGmv5mTLlxvUKG7c9+nmnoz2omvGy9+sFOP5+DRRP6v4cRd7jw7JEma8gPpHiqJJnbnqjVvIIQvl ex2YBR1ILlATDKME89F3vNbhTM3glnS4pM1asRM6QV1tnYD/b+/roUsCnzBQGvysLiZsH0O9iqYm IcOKP1TDTjWCVtsxvXzzlCnCKSiDBEZfM6ptmMSeEhJSaLxJBNRNX8d1sLxTagE7g1RuQ+VtiiOI 62pFu5z543NFp8g1O9LgCAIuHDy8klwiIf0cHiwIDVCOTQ+7OROmLxaMn/rLfJgKB0q2l4xxEtjr GpNLhNdNDRHQln4TdELnzjIaoZ2crK7PwZMhOfp6lUVhHtSQODefTWzaydKPLZz3HZbbV0OePxJJ wtAckXMJ97PyBEK75mU9CQv9V1+9lsHjvgLKcK91BvoDJpG2krHubDH+5Iq95b+jZliolKmxy+1y vPgxXAUuWZKlxOj+texW+8WXX74DPYTgaG4tPpW0kyFgWmat7BQxphsJvAuDrVnVL7Dh/fJ4I9a4 1TjHw0J9MiiMgwrS+8BOR+Ibkv7vCQubJCEi5LON9pVhlUZ5DNcSCz4dD7PKSI1OVYMnmQWMX9MC kWNWDswhzAlmS6YMAzYTP+tVG5tlLbx1DLRcVPIWW0DEPHhuYf/IyqO5MAzeyLxmDUtIm4QcCJ3M eiAX5gOdPk6AXJ4/MHwlfW5HyHB1PvB5b3j6UN6Tk4Rs8Ww7F6RJsOwoZY6sGLiVjUxCTB0xhVBz 8M0eUTKGAApqHZzS0TzHVlvuC1PUG5/3eirCrYpmdUWAyNpQVp714o2x3hz80TYUzyooP/zDjt0U YmpcYX0FdNACv75s2x4xhoWLjST5IPOWMC3w5stIiH0E5V4v57pjsOsaN6KA12qsW27gqRqqmnSj DmL0WB3XR9fc12XW010nNPUHtiNHQqbayFtgjlOKqilT3erQLxCaRyR+ObvO17an3OaL89rLeZzL a+SF6kM4MfiRCBdsez+ciy8lAEIKpXwLk8UzdMVnVICSOaZlb9hWaMskjxj/giA/PfQy0VyFhXeJ u6653P6tGsaMZJAyzbVDVej6AWVATpvg1u+SF2Cfg6Ia4wdooSutk1WJVYsIXf8Jenc/BTyDotNw oWAOxlwA60Pb4y6pwhF9LUe2+/ckHUHL4FqYs7z45ywoHrG6kdx1c1j/i26vLAeAWvc7YXAkKJ4T MalxZjXSwHMcVsxfq89tp1YJ52OZre3T1bQB7CmOm67S45277sEONck5TzRCPdXthw7sw5Rym26k P5iSbgRi0chpQfD1EohZMyiqGeXDG01zZ0BDfGlzAGaiVPvP5+2RdLli6DxuKi0YBxnCvfVl6snQ jVACouGzPYTyyZ6WoTDcj3ut8X0WqaRxvY7FRWjMHt0lKnAAuUY6sJ39HbQtzDojkKfsRixj7AK8 zPaWc/omzcTXwNQ7iQddKRFF9FPqhYsYAtqKM/K7jfZsmWJWWoSHfyhO7inhyERzF4AmG4k9Br9c MXtvI6yoXemtNJrzn+0yVtiuastYpk2CxWXKj8R5dTnj40MczwfJinS48hh3M8OQxzWdxGRTjFmD CAPg1yhwVJUeb/77Kl4ooOZuEeCzjQzYVH2nQTWgOTEsP3MDdTvW2ulGpCEPSs7+GR6Tiw5sniGG NuDwv6sx3TklS1TuQHd1grmUDcAIBjOcZcTfjD/wXTCkIBRrDLgWME0auvd5l/q2xqq2dGS3yeTH exEPJAe0CjtzK/VYwK7OpeH2iNVwmoy8ZJI9rrJb9MPWu0mUSG3d4T4e+bhxiDV/+ZWAN6Zse7Wp Cz9/o71EV23D8GEweOfPblOghRIufZXz+rECmGaK5A6zlzI1iedk6BMJ5Dg87dYvjl98ds0WqgiR gkp5BpB8JcOPt1XmJ2ndV6ABqJtzCHlgbDkTts8qdBluWhjFm2sIsNnoNJLXvRRNnB9flD3QBgdU BTLQ1tJxJ3OzMhLKPdOn7udTBcGTkvCVAyPvm2KRZf3ufTVuauBTvANbRYhQurEuxp9cRykeD9g5 +i/1gWK001LbTYoHiDkTkb36+anobZrgX/hCxtG2qfR6H6XmD1u28C3IZOb/aJ/o8gXZPdo2GnNF Wtf13ZQpYg7bGCBM6agaD0rEvtVJ2B6WSXS5ECa1FJlkEiD2ZHQSF35p6DJP8EuioR+hNj6xr/FH pwitk+3gLwfUBzEDg38di393MpmQvMW4H9lGFQ1YodNi5hJXM855wurkm7DvXXjacI5E+RwTQAxd I92OQv7oC/3qhlTrqWf6WFCvNaVQLo1Aw4OqragFUyhkmAR2WnBhBbV05k9Jfwyj2Dllq5tkU0pm qYpBvHAll/T4W9Yg8fSqcnZTUyZTeR7iDKtpY1fs1f91/PPGwEFxx71p7Bxdi6uJQtm7o94Pwa8n FSSRDpKdhcx3gVOD2rmIzDYnc6LohFNhN5sEmcKqcJqMApJu12a69azyXM7JqEX9pJ4EF1hGiPRU TJEY1nYZWolUkZHk1lqzR5TGagTr0rhPgjp1u1TOLC9tgypj+UrJPvAYjycFSFrF4aCXlHLk5Npf QxtN22GHQVFARVQmGvTaRy7YRMC8haVg2IKRprKZ7PC+FannPDR8i9BatH0n338JoqndHhxNjJim rN1zyqjsDiGPfhfnMWu999A2mFzuYYpwgxoEOzMOxSk3jIFe6LyyyrwdSgvN05iPUXKx8JZEi7/I v2UC3Ehq4ddSFaEF1+xWbQ/nW/hDXUxZdQdXpzby2ReJPnUGJvO29M78goHlj+kxWpNMkzmVyUaa yZTB4Wb1rja593w/CTVC9oKxSkKMY9zxd/CyDskwfPY0ki06YYLZX3xIM5qlSWYrlexJAjVLG7P6 tksOj9LbvJprAZjkdVDy691XfQFcydHRcLPdVHj+BlM/Y/84U8QU30AjJR+GZxMAklAA7ips6YId vy54DyH9hy3bgml+dIhgVNEm7e3BXzMztBpAY9rSKicziSS8Xg6dHRRFW7ZvKLPofk4ot3gmd4ZF ht+9O/YYHOmgWTseG+pEkolh+g1z63biyVakj0yVtEFvJewfEoz5o3Bo86WLHeAGb1Y7rnoiH2B9 aOupbqrIarBuf7Q8qVH2hZOzYdJjCLHqeSNZ28R6/MAMrtSBrpRVMKhvTtUoLDFqpqRb2vgioBEo W12K0g6Q4Gbbx8URfFR1ngEQ8wtu/GBSYRQJvRt8kwwABJZbpo0Ut7DGwE9LuRcp2slCfXogfVqO ok5xxdiZaYDCw3kRW1dRKwcKbm2964orKAeG2dpCYLi3dh4frhUYFAR/cfKJZBIIR0C977/DWPdC m06WddxwLC1Nfm1kLXGYk+/iWynVQDrJjV4wvYyTYE1fEpCFzv5EivtloM0Om+h4m7a2e+yClHgN DH7V6dWDI2DUg6ZCe+hBqZjcHrMnufuCTwuDG6o6LixUpnmeAhZrcm3/CInxCb6pxrB2JD4/l2Nv JAEnuY4qVAg4NF+5hZUGLlrQn42lIVMceyAaXxjwK/sJm5Uk5KaNiL62DNfGA5kZPbqmYJzyRy0G ZxiGmFBnIBRdM0pLZmoXve5cJVd7bwPp96icSPRv7PEl33LmOcilxiIcDxkji/MSUoryHCzR7jWy hrULp/DhtNkSewv0dYfGR+olkYWRm7t5b0Oo8jwQs4dOD9taICYMPcMuWoO45OUP01gQ4K2uJIEN 1q7n4uysNtCc4loMsHwMLb/KLQlG82aTdKv35dQz6BCxLb0wId/WRMN59DWXIMewgW+OOuMczn/0 rxz/+Tw5obUwkJVL/H2ayU4ry83Rv9DFCcRxoEvIsRvvP7NVBKMAepBFe0LfYPqVHDvLS+XvC5Pu UP3Guhe80jV22Ko8WO9AWoeRTw+50OripviTWoQu6wAXf0415KQdCAyj4Hv+h/AJyd4qGVeEqj0s PQibH7ftDWc+JiJrvnbf+QUZt+wzBriYKc3Kx/mljB/ICAKNl/3/p5W22klLlhUb54VA3ooqENC7 veIv2aKw8NR5f9G65d4PZCVwfKofZxROoeDLVwJaUwzvSfGkB4Ll/mOo47aLwDnAXhxeYPUj8uqz 0hFbL+7WwFBFqTzZKKcSLNdtFuz0abTFFOYWeybcBYzOGVg02K2TJc8+qHoO0mzF8fk3L5YesP+g ocYcysihn+l+N0UIVIGlrkrFJ9tPQr6Qaef59l81usJV/uFpyYXhiAcp6VBYF71NZD9co3crLbah A1Zx0WhbcwPatCLV+sF/6rbNTVTS2HtyZujISHvEgZy8s/QL1wWjUoFytLMpeww7+o9s4JTMp2rk tFjgf60wXWaf1y4jBI3dT/jgGfGwAnBU/3X4Uk4pmf8ljePafa+s1ZgcKbxdyZ1sud5hDys2leNU nI1/7r2PGX53GRAPC3uUCuBM7MUAGESJ4ctXm2dcX0Qy9PiVfbWmAoZJSdy4xt7gNrsSX3PYJIJu hvRjPk7vSxOzjm8Uly4Sg3JEqLhDFMT74OfxYXGntcyZUaK08WJScJ6StR5uS9v1TLVbUnn/JjqR 7gF8LdeJhqrMafsNqQxC7ay3u8uFDdyhHUfwahc91LHuYqS8JCYPJaDBWK+n+s1Wowzwj05P/52i CjQPPiuSngmtNWR5JdpqjaQ/kw/DS+er9w4fCwcuurf01FZpVtSEePpuX4dIdfIdxXDKk2PmL+mO w/t3B1tJ8u9mqxVpDQSVth+hpAbpOW82lIvk/H4nVBHHbmJd31qWbYISUCcRwMDeSMcMGZG7NlHT rlNCsP9VMqb9Xx2LMoQq7R0Nb4fVe/4BPMcOA09Y3GOzWjGmCyhmfI7KVB1SPrAvSTnqWboQqmwS gZcqCpbPYrnzpS0ImU8EAsqL1mz7Zra4lPJfRtF1+yJTJ/5ygSq2BitZxIq1QLtSgCIj2EZBAnyP 5P8xqE2QYFZ02cjvZVYNy0fHKOBM/MXFwnFoMnA8SWE0u/42UdzmENJsbyibpkAqscmYV5wTh0XU EoKGQBhyNl93cw78YF0SG9IHe6muOLZTfZ6nKfPfRjWn3gKqMstQaIvG847BObo/Zw7xn8Pp+wBR ufnEHIEq1ce1UPCyc3WiLQeIZq087gZ2l5yXxOgM7e+iz25PLOVrYz2pyEUNgvMidWs08tThu/e5 8MGdAmOkdR6Nac6cwjQcQ/h1STJM+vTHqO+6nOfrdVScxiZ+9/mwpi8ltl83SEBjDRTtoGvGl/eM rdqG+5KxCo3c8cJ0mQpUQ/dhAQqnvtwq6lfxklguMw+RMsHD/MAnQaRoZjPt6FJLXRYM0jXPx8PL KyVkkjPaXKSUu613eENm1F3E7cFlKpcEQ6u07voX9LBMnfKqZKxrOb4Pc2EkDQ9BtBNC2X3z1qvu CJSrNDjDMD0pzNaK1a4f6rj6PNL/62yrQiOaMHglmaeQl/KdTRpzaoJJa38CQN34RKJDuo+n7Khr S0KQmZsJxGeBoig8qLdlUySSopn/+MoCp4dcz/wZQBlBrHJ9mkRH0sYQ5vSxBsd9S2+HFYCES9k7 ZZYHomGHrQgcDq2Tw13fY5SxldXsbPQv/vo6D55sfAuH7pDrYk50Yqv8FpPk8X+k2v78uW2Y70Fw hgcK5AUzv+DkvHXAtaRTO5IEj3nrn2GZfxChkzVEMfTROOTbpqu8tUR2uL2ygWy9kBW1tyrustDw 6AFTjoZ8Xj1YhxXcBHw5GF5j2/Q4u5MizU9ERFUbYfgIswzdK5sxTmPuuFnLeM5KhyOm0Ttmp8pf WcOvZjTLaHj1BZFyC0K/Ls19oiCRfzZepH9yWVRzbw7LkoZYhlSJd06uBBYn2kN0zndUVoWOne91 U2UIz6HVDj9iP1deUryreT3srrb+hqL25q7M02ZAl7YfhXH7P4yCJgwaQoZTGfkewwxrR8plFwYy EiAqHQLgF5vmYV+3dMUbQyTbQYygg9a2wkqq8f9XZA2tqYXtziS4y5Meot1lCVRDjQCWtnrjDg88 ErIiKox09LyASiwVl3eAcNSfC/UbgNT+qBexzkKmmmmeeMjprQNsfuCvlHCWyFXm1krm3sNMmBqP TE7bDm3rTxgkp8eukL0xRZb7aMfi21x9SbU/RCvvYs2mDZMzQhNRtAZ1D0ZMPEEDVfl0Cm/h9ISt TvrSO9Vt8/BpOss53WXqcREx3TjmCRTj+jnnxSNm9IPba7efZLT/xY53kFFmOxoFg7jVce48NVmx VkzCsHXNbqr0BO7Lc1AZ4wYE4esvXM/T/SO0MKzOTW979GDSh874M+n0y+QzcALAajp0C+PbPO7t iLYc7+Luj/mCcLlR4T94N/gKwMQ3xI5wdvA12N/a6JWp7DaZfUJE//KaJn88/46/cgg0dIbcrq5+ MVc/O/0k/p3ubVB+3QMjKM3zGJd3qxlP3XCKN4mHMIZucySmyRmkcoPvV6WBDk/awWnRnGgZeEV2 WdwlO82u7JIo5RqZCwZ4T8caAvPuM+bmiz0HGH1rELvrgtgpouJZvKIB0ypNV7ilhFq3/+uyCKdV PuHG3jhPa5+CR7HiiCdrypKK+wmczPtlX+htTmalvoTQ78U3sk5mYmW1OD4w4yDPQVlgti5/nthz Ng+7oeOKfjs2lcqYVDuCoMLp07zqpcBHoLvETp2kJyiGyNbgrhh4sxUtYE2Rac9atNeWA6xMDlWg Wm/jjlLjkBKIds82QM2oq9VVhOeO4PjoY0i4MHK6ZXQL08Ia7G+iwymUCiLKucYstyAGOr50vYFz SKh7Ub+yTKAidsR+ve1frxPmIJgDRXxDibpaaeU1WBLuTrZwQCL14888oTtH1EXz0/efAM3wlngT X9GGcYx/pqxHxJ9f4oLqLbr6AEjsSAzhBMRm8FsEys7q9Y8PE7bhhRr3lTPbl7LtWA/Z57Tx+NIi U2N8FUFJlDv+LFK518QwcLrJ7WN6BYqjzp/2Y9B/16B5DG2UEgH55Nu8RwG+j5XXYLSnbxXGQRv/ k4xN0anmlosPhgNN9ySn46Z+T19X4Tru/k7hzKf+QmESSh+yzgpIXRR+zoVKUEVR3amQjBteou0B 6gqulOoOq445/eO8IU4U3RsBzwMkoJzKfEFBJAY3QYpQPnCh5T3ff52m8/Eh647LK+E2E7KpROwj yJWVnzX5q+Bz1AILMt1EGAlqltylJp2zzfE5Ho5DndT7aUmLtlhflk9KkLohd61QpwI9WwvUjUnq 9UhuGB7Sz1T0LvKdYU9GtQpQSd9AUpJoCGLC9fCl1/jyqfR3Utq7rWN8PcSo8cQfyzaAMKujgDU7 ODwfxHq6Kf3KrVQgt/1JK5agy0SDD0OaE1wTaRNiWi0yH7RsLjSzX88T68jbwas5IZM5L88p+jU1 rZlTwqx0byNR7I3eIIQbTeZBLDDYpSP9OHho3ruda+8drjpqpyt2ay/UYZW+m4E17nYqXYUxDx0O pWRWOa3ETjlt75FL7/6KWlY+ARSpu1UBTvnNNJve8MRU7inw4H3sNhJNjypW3j6n/L9tdOqAx7Pg phEAazNKDoqAR2ES1PY3TP/MXGgmrMipwnFtRODYIf/0TYeUfGpKUpcmLE7/uwUcaZq96vk/iOfo abITnCLFdljKwyIHVpHmDUs369y/1fafkWiA++bVBilRbF72h+SPwb334EfTOCP6By4qO/rnyfuE vwiMdsru2zQFarvS0Sen+QK/5potvW4DBooR3JvnolukABYyC0zFCuJckOALCe1s1ODab58bb1hW YFh+UoKP6XMyIh0UGySAarKos6StKISbh9DuVGyXLKCqeNfat7WJZeyaZZxKjTVhlRoFLydSZ0QP 0JPKwnURSG/tZ+vKJCXoGdRWHMbDDtsxmksdnfZyTM35KQvAXiGB6/Zf7HMjyC/yyfgyO9aPpjPA G+k+t/T0Z45R1vXiR6G557lmCvKttH4Sk1kX8C/EPW8MAX311EfSIVYuZuzTEb+KcOj9ra7kHpVk kf3eustqSvrXc4F1ICSpmxczTBLRz4MJimi8VNFraU4cHsH3ixXakUD17NBXX0xAPeDScLZl0iAe Uo8Dw7vsfQhRUcNEUpXMBJGNXl/BfJ0qz525DAHdvo6kwGqdrCnrjDF154FG5KfsBxOiAg1r9swx redFj39oFHZtYnb418IK09g94cCC2AYu3tYIyg9uWLzWR7Z7p6R935aTufwyQOiAuGSy8Mo3diqo YPAp7frYwY/efznKsOgaJppWHE8WARgH2mSXy+k+FdZWl9S8/Rqco8+K0PV83LvGHtX+/byAD5bV wPRnE6A5qV72xX8BRRRQBFoKhpzb/rtJ6RdFiO8/ZXNPRrPPOp8tbMuJPYibUM8kWJPjwqVnY0GI mtV5MHDzBXWnJwULGGjSQl+bTL9PP8fxewoEQxAQm9HPIyZUrQHufhB2nESYJ1DV1i1a9Svda5d7 Ux/RXN0UIT+wj+vq22Joinxk1f6S60SMg1YWR6RPnjrJX66K4JfLWLvCCKMrRyOX3dies8VMzADt UlnTMLY49/b5ZqZJ6YU3K1sEKIOury9BJ+ua4GWM8LsHRc2R2coS6ulhLmbgtLJDYLJpZiumD7vt Pi/ixgGz6i7CxJAVLRLuyyPpjPEGWL5H725/TN9iNkgx8XjKDAMj/udS4CrIedfKAf2fzp6FF0y8 TseIA1f+rdwIv4gAAMUrZ6WoWGJ+30oTUAtF0teW5sJA3wwn4GCRd+BPMlxDW8VcrHZvM028PClb UxU2PvpafpaJzjkpLdTjrvS1Kh9UVgzx/Hyh5JYO/daHmdDYa7RK01JobGBkx2NiGledHSjCkQyV HjGYNCTh/0KChBW31c8kVP6E0XjGkDDtgp93ljVaa69BVvMOgRnB+fmfKXHpvWtpD/6Mhr20Wfvu VxUwiVlYHFlEsdnDbhM1ox1VYRNmdg39NG6t7t74q+7sOhNxiEjTWdvAkwClAnlOT+ei+ZbOun46 jEnTLEDcZOvtzqgX7/IOwKSV5ZmoD2sybXHmgMcXEV6rZELIoLV67BgZlmytt/wDFN0LK865hZaz 2TGyb9rsjC2QmFlJqzq+lpcXQXSulylaV+zRzGh09ad6phiERjg/9usqz/1temn1QgdUD9OUicm1 py02RnB28QKTdsRLF7U9wNaAvavzz5Gf5ofAmArrFkmEhRF+bevn98OOcsxhcLRn5q8kV2F2AYPH xfLKUeqL60yumv7B1vgFkyLZHXUwsyCZRsK2Ln4Pdc4ou3BQnEIQXAGh5VgTHm5RJhprzmnjEqh4 PFVg+CblQVo3HrcNumhA2cyR4/R1zrkgeLYaqmC8Z8nU3WFtm/dQ7GuLfiomn51HansHkHBYAA5j PX3R5fLsoQtxCoGKmrFpOCubjI6+396jQtqWJkkpr7IeX0eJJH522Trk0a0qYH1z2v2FjWL1n/he pUewHl8kt4u/3Z7/1brJkT38QRqAXDsREHSHgEFQWfgCX02P+QGCiSzFmhHdxOA70xj0fXMbQuOP 7lxCh0smobTle3J/Cp7obARMRSsiTKQnupxFEu8ai2iqVzwyV/djs9fD+zmOXq1G0tEkwrmsV9s6 sFkSRgaFE7JcusEx0eFTODAlpgEh/gF2xNv/fX8OqgYRTq9xJfMSyQVtH6jiTJo6t60XIphY2HSr dw4RVEVMT6GtIWBFrbN14C3kGYIZFEqjH3u/8Vr0wwCuJgM99w7VLfTO3YdNP/k9gzNJ2sHaC78+ 3C1sRM20VBktJQyt9S24kPreyOEywz4wV9dhH2r+bwio3MZUmTi+JazvRxXc/EsfqWO2tXJ6Nbt3 pRG3RnYI0kPXYnmMB1quxh9tFIw2uNTpjRE2Cs6Nj73rNlh0W5MznIEvwC81iGHVcEkb3HJ6PM7B f7guCcWKkBZLhmklkMLsQ7Igv+tKLcXD+L4o4hGCN6S5B39y9kuwiDvSX5QbWueSlPyqML4eA0zp epL+CH57GGTPX2gZcK5/Hy4vcUhlqhq5U7imFBYRW/Ef1SAOfNQ58KCNrfI/ce/gpScy6qH5b23Y wJNgI1IbM2Y0Lb+GL5KMeo9y24NxbunOKFfrTYEBb50WPm+p19rxy0YExaZqcrqA+DXOY95tp3mq Dob79SOP/JBDUAL81oh9WbzUkUDLRdLpU0s/aUd78K2VHZLdwI0UMKGrBCWjYBej6mSkWONR0uLF ls56wZjI5c5VExuYU/WP4l7fPFVaooxkJb+4+/dZaVUFDQtXsTmplQ5zSk9jBTOG8NogthsNfIgL LFDf0+b2Tpa40pbAd6hxI94fNBBn1mJy7kb3OaVYPVLAruaajp2y2pwJi6uu+/RNYq2uWpzSwvTO KuGEU5Dzjlh3DxyHikeDB9xpsAGE7CJzOXZWfbreIRWMS6xCyYEBMMyXWIG3bODc0ftmOLa+8W/a SucleuAVjKwii3+RZV4I2cJnM6JyEpaIcXR9SkxgHXLssq+70M/e0v17+/s+TzelsgS+xEV2bJ5j HzKHOPxvibQ6MWR4Q+PO63Dn3f0/6FV6jBZYHUOGZMJN9gakCmPrbWIOwI/k8kqsq1girCiXkb7o 8A39/4L/jGSlzV+m4Dag3D5ajy12LllYTPAO2LMgDA91FJYXLV/kKYi8kKLPTy3IyiDqA0f2ErNw Ve/trPCd86hyoj7hmjsQTnrEnZEup/7jSdj7SpukkYVUzmctycSfHyg+acWpe/U8/bJ1Ndh0lxrM Z/f484aRirm5hEzFGAfj6QDGO+48xmd9Q4fAeb5cLULwSzpLPcif97lt9qX7tWmSJ36ySs5PIYmR w7Twpyg7+hke6KTmjvOA1KKxMt6ybG4V+9AJdu38VlS6QEQs0usO7fkx+fxzh5QQioJIMu2O+QsK dyJ8nCJF7xcMA64GhLO/PqNB9kEu2g2qcMFm94Qp+RaAf5bwiZVha+FRY7FztpHxWXIehp6ax3iE 3C7Yb9zk3QqNm+bmPmsifG32/jTbC/StMHYL1bWa3y56ol2mDq8Uyffd2mFeWxfXZtmUB2fpu5Sk s6S508qd7+YxdnIS3GaGdUQFTkRhmrSSPKDQaR6oBWIHozmj+IUtEG0tncaOiX3W0bAi0DKjtXzK rb6nXf6LGBtxjOPq7lqK+MOk5a4M7/BDM0ra5faBAAf6UpDJ8mFQ4qVW5pFdFGIEMeNKcsbPTNKe LDf8msFZgUKcaDnB/2lVbyoK0H9kGg/CV8s8F2RJN7jrCYr4m2gWKHFeo/FNwCdAqozKcxNecquZ niDqC+WfEhFjOugKP5nVxkzzuRT/+6IwDqqPOJ34A1FMRhRFs1CwcCXdNH/RacIqbuoQnzlbyttR pRmCXxq8++X1+7IKnuRd2sugNSgqs2W1mnP+jV4dH8LgXoqVEUi4bzZg5kNoWJrEsVFL6gCHR7AR coNezPSUJ1g8nNaEG7F+RUkpNBk7icZ4SEA6zvNF67UMH8PdgRNEq1f7zM27rQCAfpCMxelJvhv0 4ezzUCpBN6r/ff7Fg1UPLo6i0c0/9KsHrbfExfikmSeENY+TMf/8yJehoFLxIeiDdqJqOSf982F8 I5lZjfRa482AQOTs70OHEfc4XnWPmlLf6ZGPVqoM5A73pt24+e3t1pHhpsRyxiRT8AbWuLsYmtVg SIcsDMzWmdzsV2zLsLoI1F18h2mrPWP2DRfJkOomPwnljlkzcmdpyBMvtS+kHPYT7x9DJtVy+79d mn8+bhldTlHlclP3qXMCm/KBgLqUjHbJdQnEVorBPSY3D760ugBXrEGRv3dc1dF1gGbItMxiTOG2 /YGdzaUkSairVDwyv7MajPWm/rbA9qILZxUQtvPP33eN1F+Huo+170D4Sv0Cb7D9avfk18031UOw rZPSGIQfb7dZBijeMA5MBzbb1cVrlStkmRsDi7P+RTC80NKB6vgaG0oU2kJap8ikTZESsOyChARG TxbU5fhII7a955KoxZ1qtUFu0WfFdAov4s03TFHxA8xu1rvg5ROno3zNRodM/NOP6HY0IXiYd1LP 0ekhJP3v+voKLjPqF/3BIXjsdHD1VmdRfGXnDTS+gobgiAARY7e8sHqDHa2NqBxwTr3Dz1diDS4h yeWIjnDaWpxFTbGK65XUAyHGpaGjVKnw6LKUsL07w4dZqOu64J19Cd24Kb5tI6MlDBAgGzD/wEby UETl9L+ndwbyBFASWq4TQLJN3plntGWb2LHXk2+QS99XonIUlpH6FL+2cUeaZxI8nQ0az49AT31w 6H4I3GxptYipSoj//cLxUtEKllI1dm3pLJJUjJTJtKKoQunJkLHOCfFM2p0/yXgWZaeQ71kKpXOc dz43o5gR6ulsKk5BWkqyPQlWHeY8oNdz5p2q/z7GD74Zl3LCbAvzwUJVuBfhbbaM6crmuq/DL101 w0oEGTHbIFIG2ktwaneJ2IRi3J39S1iHMoF4hxlKdcyPDox7Jr7BIq9wEdy+LHlbRseyL9cN6qRm ftch5I/dKUkftMWN0fxoCNcg4ZCoxkTh/cwMQWD8Yxb9SCQ8+PuyVkOvPL2C3GwzxSY6u+GQDudK s57cfEEuuPnu/NT8pFI7EI3f2atI8nojp2I5dGHfmZV4ZKjhvoyLWLo91UO54IkylS6udu0URRdG j8OZy8Kl/0DityKQo8rTvCNsQTlSpm2+VUhgd4hOqP9rLFQFVhFyhjXWQWb734qETMqaxEJPMNN5 N00xN1d038qfFz0k9UJfRGNIH/mBoYe1mVEt/4/AOxWwePLgIYND/rMDL/mLxKt4/bQnNmtr8HGI zNiUaelLC/zqr8CqgI2x8TLACIbGqxjYO1a8519CjE7nkmohVTKrZv12yIy94H1tia/xdV4WPPsx NFa1zRFQqixh1y49XPOeXsIJl7S4PZ600P4w417D7k4NlaoRDhq/+8/snGXFm3hDSYjI7ozwmJcW ujkGlbVyCHLKzyPhLreOta8HXHV5BBEjz2UvH5TLPyMVNYWbuDWY0awApQPWJtnQ3FaA3U9jmjiW JlYJ87Svfs6ZmreMy0dpeVeB33OTrjwcP+azhg6oxs1J3zY7xycmJXR/2iUcRH1UDpbhHaFyYaoD sdrZ5de28WhGDMxp1oyTbMfdMGmXDc5j3lFkO1aba5qOm1Z4sdDMJ+Hdw1LIxDO6mnk0wqTmMnRf VaEbQR6ZB1eWg59ODC7pi3V3WOlIarf+zvfSZguS1IYHemqhkRFLXscGb6mR34CO41oBjunnrXcS HQNAupIJZhBZA/49CjQEGDoz4PD9tRDk+68J8blhIbfJhvvfLbTeR+z+QjouLDQd45dVyHAiKHcG 48wClFZNhVmN10DYIXRR/+PvQ7WSH1OIL0lRyns7zfI7Rn+Ff8LqvxaT4cU6w4X+OvFhdcUwKOaU 4B2LCU5+q028p7AalsuhGtmhA/hAUnjwgR/64E/IKqwVcq70RLDMCGrXDIrvoWjMOinQN2+YMgaK fIBASjWJ7ilyWbrjcsMOk2ihZ1bnPS5SJusEOGh2/3vvKI98AdsCfcrXivbsM7JgUVMHEFx2Rh5K kIaPjbs+pkQUIAHvOv29B+qGfjtFaYRQ5jsXmqxu5tlB/F4C+Yn88FeYygExSOnYqn651YCz8pVm oCadxwk9g0/LdViF9scihRA9i+9o25o6wz0EWsALj8GgZ7amUulUAzbDUwCbm7YfDR2TftiCMoPr jCuCHvJ8y0uHGlw5+XGKEJSG9cjon26UMo5dymHhhqGhoDLhCHGFwFEQxNrQAO1NxGmQFZwfAWDR 9Etc3mfbs7yGn1ffWPKqRD82mcCRYzG19XXmcShWFDcE4UKb/N2RftjBnyNwHE5TbJJjSokpH9Eq uARdp39ZLM0c3tSmYMvCALII1fX25Dnx1bGj282lQLMNpdLUXB6n8tevrJun5yVeJlpZWfvGuS+F bKZwbYhw2uEHYuin4ix892R1rMQcAkur7fldUyScb2Ul/wHN39N6CnmmQmGPRtJCtPTLCdMfCXKR gB3q15/L5Otzski1X62JJu/wZa9n9vQYOwXZrHcGG05uy31o2OOuBDmOsZ7m7hyVvNo9OfF0dgDQ tBTrS+rnbEwY6qVn1hhk778v3GrntZbS31O4fz1oZfKrk8eaqNc9MxE931v6KuzWBAGnao6onaxs QEOJzi5j5eAd5tGf3ymblV+9rGzsMbrV9csFJG1m6i6DZNrX8Rq4XEiL2QGaDhP0t/JD83j027F2 5iIdMekZldUlZ/w8PZ43bvh3xszb8/FUhl1lCDOCecdeB8+B8s679aUo1MBN5CCOmp+vn+2odtcE fosoty+cNS0v1fYOhKvOZ5uugtVHAmJupuAhQd0WkBkrCjeqPqOiqnqIcVqd7RVw5nXvj4CM5Trb QWvJzRYtcZSfrPsdrTtJoeqIK0imBmtvlSpw7Tal3RBBhvW/0xjrwsA7SWz+xk6umsVdjKtJvZuB fRcFAF8CdpTnzY9f3Worxv7CCvJkN4gENCtHPQ0vX6w15ElpVQw+ok90z/LOte3EzM8o4ZQShBVB ogvwlEQd6aR48N5yV8INLETx1fOqYRgi7srMm9TZgbuICAA7/9ApAuDtgAJLFdyQFxHmqVmG2GOI NJ0KtRqLZxMbsNyTUpOUHzJDt1aAA1O2Dr+/rFpkuqcd5CkZ8PfXpDPvdMWybIWqW8EJU7BhZcJ2 u4rWnLNC5Ix4ibscqou/jhTliHUrhKR5oomjr5IxK/1Jziu+ZQiZNQne2xxyQPJMvrQsRt1u6l8n 6SpGabfo1hdAE5bQUOylQ0liOEAZZzH6KxxuqtFG6qAfmzZ8cmwxT2CO+HYoc7cTX0PoFFKLTejY zX3HjJ/sCwUHLkaDgN9xo6FEt32G5fHDP24h+bwAvIT11lSwoLu/eiK8ZSB8OXMPyHgCn2uYrTDb 8hlpQtdOnTYTDgebxUK8WBugZiX9syRJyb9pdGIHuGLLtNZ0tSdMFoL7FfqoS9zb7pCWJw5WQ5Vb UjL7EvlQqipVVd+KLrhAjG+Pl63z5mKJqiHWf/kDJzqNC6+7MCQgHnL+ZzvALIyWHc3o42a+r7YC Lpk49UmGoLx+zmuhRIrsekSJrBzHGd7zS1u4pS961LnHbA/CykvGPHzSfs0z+KsCr5kvPPvVvuCs VWXYHpGPuu81FVosreyxDjcxO3cUN6kRuGYapMQs6PjGSg9abH3ZVI++M4s8dix7XuOj2kck9JXt oJxhmm4fRbdVj9rqgCN5edyRdEQaXb4+eLKlaZxiLSLT5lvFsGnSZFjDsgmlU4dodVgW2sH8Jh70 gVJGt7k9vxBUp4Ylbkuf+nzjWLLRGs7jNmjikeQbq+efUc+ZX67bh6+LkQns0k28YMDUDUe6tEIl ZtPWL/pJPZ31MbQRxXpiBtiZ2rj0UqFaMb4eLS6AbthztjDF0j4b+lrsHhMdehw35HN19SJLn6EQ ZHZy3DFqO/S18gmodBTx6UHzQTZTlRxrkYVYRb01cSATbkNEBHueQg+4BDx7Vk+9yqV4BQsADOGQ OXMeP55iQ+fmXwDv+sGjapZe59VbDAXti2Z6ovtqjL0zDXFcE+mtzCLwDyUgX6HdwUNXd8FIansZ pa32MKH9JOdpwNfCv5EX5fvmxXVMIZLVjzZl6WUAR6XGhudDFWzuXw1BMKd4g6MByl/AKV/L92Q/ mdQwJdLIWLcYQBDHq+K6bkIboXIRwtKRYDt4C73ItVR6rwD87gTzIaCcQTdHZD+UE8V/mo2RMiG1 g1NtcH/7jImkGV1vO0w19nhwHpl2Te/Mc5yXF4hU7TlX4qmHPJj5u3SvD7tTmUag6e4BY0f9iz2A HCkYy8Uni+8J4rQKoJwyb0mUd44clg3934RE7AnDqU7B39UOTqQhA5Von+cMS4kVBgfZWLe0jxCn qFBPbS2m+1t+mJt/2j+MtePH8i/EVEfxz4SNZfFT/wYGIENrw419nbRcaAmFClo0DbBIvoceguJx jaFN7oX38Lnyva/boSkZM749LZZyrrz38T3zsygAUKbcowqsG51NhCVy5rxsn9xaXDKxDT7qqiyp q7WiwWwAnqSyMTJt06/y0kLFzc4tsYz5f8oUCg1sg3SIp1MFdMsxh8J7BL03BgduGUrqSZHsaN7F UaM5AcL722cnIY3EaU08nUTYOfK/V52nm3XX239nM7fcS4UGNeFo50sX7u7u77o+e/waIAQgOL+d tvytVaCGnhu72fMNztWNv3errUIsuTIIg5tlb41keZDP+7cpKsP81nbN/6QkZZRc4CXn5TEdwTQd eRjcsAUNMHuw76rewgOwsbXIgHgABHBVnwzv3HJrFQiiCJLgp2imv1GGtakkgY6y/oCMtwMWUvzX /Vk51wQpBSy7kf++9EiX+Ur9q5VXd7sQxxwG+IRh1DaFep9RXUjlZ15E2hlSM8R/BhiQKhQHjO59 miiuB3eUzOxHh74iqaG7K2Av8J298LAeWb4KDY2x1N/QgWxrn9h34Xp5a8jCHBlHpmr/nM1YeaBh UeifGpf+uGPtPr9J8d78ElO8fAgGQ2D7R8/B3qVIQFc3vY5wO4J9+r/J3mwx4rfM14sxc3G3TTm0 mxbSxX4n+ZuhOSs+Jjo8UVTbs4HN2VQDkVlLv6LJOo4IqWsW2TYRdXSoWRYlLkx4nFHHn17zM7ex 38wxJSEzz529yjDRe8NWuIhmpSSEPtsZiD5O/9u31y4dBI3RRuyrZDLVCJdLmGUGk4BT0qcluVxg 1MrHT70hOJH9pRFxUyy+rnlC5+I8/VbFjn+r20IDPMvypXzQZb/1DW86DWcscsmRc4f9HiQ3L4vm 2NxBrP8f7BciF38j3+G82bwY1j42UeohTVmaH58G9pAy/hNgAivPPuxtaPEKQrD1SqsB5tkgLSOe kRFRVBTY4N3ELrgxjUlW5rj/ap8Q2/TD51aYoMpHZ64GPEdU+m3I3zUUs0Ezh6cNeXMWkFbDYeuW IFXvBJq+3J+W4fkGpfMIos2wh3/iI8Uc/1yASCLZNHjEZL7U9PmZmwy4i+NnXWfwvdf5u6ObZd60 YlpCALW8YKAXlfH/H1OS5BmbVOmsFRiM3tOQklIXSF2k/1DMhfN96v0fcFdoXCJvOjWbJgMVjS9/ 5II+dsT7zZ5a6UQsK8l7ODyQ8CPGSYMRkKfrM3CIo4kcFHESYUS3WPKahzOGhZ+YNNOna19LFx5n iGoz6R+34Y+hyvbJa7fiGYiFrrj+X55eZXlZWMNE3JbFyiBhjZWtfvETduPlb5z2Y2EUAgKIgGay tI6hEeJATHBkeYvMi91KVgpdXoU0QXLN/qj0Y7+1ZHMDKkQsSGjN9eQ8RhOmQ7YFji1ZoxKqDyU1 x030iGVg2mWpMANRZBtEOkuRbafLTbjp4TXoupSi7E8xMyaJnO6ynbKzSwkcIivKaNVoGG/q/JI4 tYRzCHekb9G19X7yPRNMX2dUpE5geWfvu9wBH6r1Kd+KlhmtwqS0Q18gknzu6wqagU1vBCmjoJtt 4/e9vwqB6PhuZCtE9l/PXuQU0koQ9cTFr4pSO0otHbLgmkkGlrl2GSqEWz3RcJwB4pylMAKU0vtz xqIeTR0trceRGYF4uTAOLN20CicPdBZoJFw77hw7UH9edpiyZQZKLjTkZ80kQ/+E0c6a49hwyOOf +t5ytEqiV1uMVGS+T6byFJUlv93As6gbUmmwSOOYSfx3fnrWEYEc+m4Oi7CHF+id884u/LUxuQpT Bm4xDR3X88cR+2XPd3sol+iV6udhovt5i0rAiyxDydWlnLrCtdJHyrqpEaTLV+/oNJoo0pRL3lXK jhwIy9kQRE+hCZdBwpOnZd80LLFmASCYHa3sFGjM0eRnfYyAgnsPgVsbHABN/hIphzWyI1kGtqGf 1j6jDrMS4xGwvsjFJWg/2Q1d4rgK+EWFKhQJwB5cj/J0AZ97QzNW0yOixJmU/S/HSAX6gyXH0Op8 0JJou9FM/ExCMnrcib1kbQajHng+uy4IMGH+l8dCTa8LB2yaSxxIwLnvOX5692h+CUBpbOv8VP6T 2eFvhTA1nJBHLt+FNlrN+Hb2ShjCxcT5tCQisvIXsGWQ5ZH2JasttRTq7C10z4dmHUXypBKeSIo+ HNccjXLMwR/UPHVZygXvON6HHWWhsNkEMxKe5kyxFNs8v7YY/jqcUZvfsRrVl0Wly30G6DwUem/Q JU9qBXy8QTiQ7PZurfpOOeeyJyitpR8OD8RRpKvMdGBQX4M/6Q3nbCoGkQfk0ZoDJ5SW9cGbdBLN rnpJciZD0V75uVCPXSRCRQ9PccG8lQmSSN7bYrUCQXmKpfnGhWXr9OHLd2VWoFmZT8tGAJmRTxP/ K8OjL2aLNFWdZNHEZFLcnIYNQ32m4ZlisWdmlsUt3EwoHqPv8Xne8KILRS0MpdDfEL86/vDotKSj IT2XNtXscpKoIpPQ9QbD90JArA3GfjE4pq9ILiVwQEnfFJhFj2A2sZKl/c+TcjJnpxiMJ91uORZu zCQgOKSAuA9CqFEQNW6NJn6rSonxa0vMW7Q7tk8y2ziatrtOQmut1oB75jDwMTzqytPEB/t/cs8n l5Q/PdHxymIBwAIbrzdUaILKGSHjEztdYlE6kmKM3gtEuDSXOQ/+SkRsvZ4mz5w/w5cZzx+17RE6 mqBiqQjI1cth/SMss//v6WWerVywd+8ik6EvBiDuJJIMLDVlXIPRXFzmz/VgT/ROWyogx7WAZt0z soGG9In5FWNEHLc8IX1YqPan9JJ4cHae2yWsgZVZs2EJm7M4dupaHMa3Uk7f5TRXdyaZbgdnFC9e ou8pq33442Kzat4UJ61QyCKoxKyf97/8ELVEAnlSKQXAOfqwbWzGnH+F5wH4qguO+nlKJSN50UxL eHyhlusLu7xjp70dqXosTaTaGrfVHGT4+MiJ3Zh7eCUEHZBkjh448cwdIwXmNdhOl74Cs1pYzEl2 PB16pL2LjFx0LC0kCSQLLeAI3bIOAyMfUEzaLf40vtBXGd7bzZE1kEQTJCsKgJo1fuaDIXUUso4u jOVUpiRNisjIOj3UkESloB6BwEUYIxMTEjB9qjPVeLgzqxE8pm/KaoLHl9HGz7cuQ4z7GCP+fBlN 6lvnZboBWJQ4+s45glesJU26O0DvD5YG6MZOSr0WQUGPvpMLUeQmSQK+lw1pc7rBAl+U4ceU/vk+ OqwUWJt0QcsaeC3A9OFazWtlfDQCo/QVzv6kXbGCS9pgOtIU78KtjXmLrtPWT46h9bKGB0+icKnE +0ljoBijZNknaEuI6nQRD3F3IVVQ6JxjjabYpzgkjXO/vijGmTJPYTsfvazR62DFne4vaCbuwGS/ ufPyJvIJNomh1iRrj8MZvUCpxLew1PmWQojhvD6zmWKCMKMmD5qPW1+ElvptGaE71u09V0NQ9Sfm ZLnYIw9lrODbTTllkOeJG2rOPm33Y8casc+qQqDlPcpIZDK5JqoJ5AbGgLElRmHasApKIAheVLn4 tzGIQim2a6SgExkMcAFR1dIKvwdFlWLdLQL866wSB8/FX8lXLfWMEDvmkvv/C0kEie1CsZMnjU9G Z2omUDVU8g2M2nm1v8dc9LNiVI6aCO0sw496o3K1bloKGWbc9YuJ4k3KT3LP7cV8IdmgnOEctKxL 96QU4NlyCahA+okM9RrpLcMP7DQ2HEtfAlySbWxichDniekgUr/4dnMcnZbJtovY9eZML7jHCjTj OLUbC+GGddnJIEDTdeFwUOrsRJx30AifFyUK64ZNMbbGmjZF+g2n+epKjuERgyo351T9vUhNxgh6 f/KWGPzbTfiJmcVhGfN3+Fvs/nhAmXVUT4aNk2RR1XoZ4EGfD6+hzxuxcCUo+RMXt3SgPI0U8L3L xJ3HsOlkZlz7lzEWjwKB1T8fVwFY3NetIdBDJ3lERCIOjf/E66XP6axFmJ1CsI45Ymz8QXzydOgQ SqMVAW8iEKBbY/K3JfnOatvsGPVGd8z32hIH2q7TXr3AOc3d+e1gCf0sfCTol+t7f3j2Zh1GwwOs Qw5zCrElQ+mu9H6ddKbRoE1Ppxz//bbKyKhw3i1Uq1N3ciw6RVxV7yEp5nHxoFGmWS9NVgOkvExD zSLAcPgqfq/1NEAbBU5dkTWEJIdYCNgiIbtDMPP/E7FFX9TCuXPdmHSB1uMJEISLrM5yZzDaEait z3oFIcPlOolA2Vm2uNeMbFvYNrRrfo82hXoziwKCH+O6LOW5uWES4YKw5JoytXfkMW9ojHbC+GjB F4Ia3rQWUMAlLc0NOOrypW+Cgx//WWGzTkiVCKGaELUicmTdAsAYZMp1DYd/LuA00ErzmlHSEgCT 6uVun1Cpw5p6aTD4OU5aB9arJpX1uaCU8dS0VY2XuwnZmthMv4QP/sJXA/rwnPBGIDj74+JpoIbV OVYS5/tzpfeex4dTbd7Cm3rZ4vTb5XXnC07tEdAfpcXohiFDXl9lX0WP4PksVQ81vVuNjNkTyPgl yWQjoyG4tu49I1uUvyds+t41qytb/HAHzg7eQUIrt99+ppHwxmdSnbfBv2yo6BOpuRABSKN0w8nv j/OnyTV7dm9YZL2U0j6MLu1em9Gk/efK9/WsiScCHDFNZlUMK6fJqiSQaf/oP5SI34mlwr5BQt50 OzHI0SGpfUkSyHZnTRMI42V6Qx34WGjONeMKrgluT1FVq+R5ZMnvQ4yUofTuFQhNqzzRHJNCAGMD g43+IqTUS5GdLH6rkBHFX6SE0zT6TyP5fs0WnZhsFEcMIcCQwo6rA7/xfw9f2iqry/9/DoH1fbvG 1NFXUGIo5QXUGcpCh3qIiZOE1s/BpK/WMaFVPhStYkbIbjKcAU7TKRfjxZp8WhUK8z7oaVynI6zV 13ugrOguObRzjWKxzAlfWYo6ZdTaaIM+QZrNsu05cuZcfCXF4kkq7Mslbiul1ttmRCUzxr+BpVNm uGXQxMa7AJsYO82M6wFv2WJmoQcv7p2lTFXgvkTmGkiv/DNPOnfuwgZhXQeB4p0Dh1C7hVTbvy86 kID5fK6rotGnd5yJ3Iu6iccGTjgGMNvGAvpYKLi29Rj/vOpwicqy4sE94IADd1jMSI/Bj0OreTMr cHupfModA7t6ajzcS29ZQn7cBFdmc+Plzirrif6rBUG1iffj04dv7BlEfCN4GLRukck/gKE66uyO PIK06L8AZWpOM9z84nNP/R4lpRiEf7t/AuxEN7S9rF97uUiyTTgTWvKPmdXt/VaTR217/BK/0dHA u1r5Dd0KlGhHt8DwSlfzkMhwxjMaDUN8bDLBsfPkOVfxQKr0LOViuIEjjqSb0jovyl1gnQPz7zaz BoLIFTsJWRN6XRk9PVeVdng8CdShFD4BzOhY97Kiur0dotNMT8Ekgmqu7IhrVFqRcyWhb3MCdE7t XR15odkFZfKXXHO3p5OHyPnmvs/QKPafe0wN00lyDjx5syz94MxIjMlkWDboPLL1oykVWlOMonIE CTltEvwY/U/Ds7+2GQvw7swiqvIDoz+u5W9VPutGpidlPjhff+EHT9euCbwQLgwac06Va6SGhpEE w5+oy4An+kSJwuZGNphGArQnQX67OhdWxi13Q5BEIdk/8XKTyRoGimRIepmx6W06PvaWDsKM9ex/ l+exA6r9JMPaNdXjcO+2y6EvYxwFXLGzLsF8F4yREX0iL4FL+Jg9ytL8Z5HyehrZOOaJO7MdG+7q huXKjss27H6xPHOtUdMkfsYPjPJzPJRZn9ifoGStQ963iLiQuZw6ntGIiyJ+2/tE/M0dDyFU1SYs 4iPI1bS9QFs/cVUWQNgY14recsDR2NwC75cCb2uAJLPlp5bmNMqcgYBHGoJW3ZSPSq0P+CvgsfZR y31+X9M6bdPCz3qJSPUBZ5Nf9WeQyRUEU3OL+FB3p1DLvChvftDFbjqVXABfWWCSZyiT4Qpe+ZAx K15s1acdhGvs/bRy89xA7vxgqScnSHi4DslHA9TEOl3vQf4FXMyeUus696Iu/j5rn9vl1kxNCk8w ldNj3J/oXpj5NLodcUQywQmeoR5cYcnvNsSpkgxaW+9mSclYZwLIh2Dlop190kbixlsWUiOqUOEE MDq4hPo1nTzEiQxwbXgZEPya0DUUykErn3G0oUKaUPAqISnlKRW5ZW7fKb7AsRHzIfbgisFpDhW4 yKyIIxUNCejE2BRULs4cOH7C4ye2bn1L62DmcPYjPPXbNKtb6EV973LfmlhZ8bWUDLCvktXSQCHy znPq5I1iovTfoHwO5E5lBNz7msbywXkU9fbRmPK/FmdVz54kHUkuDbPgeAF1w/xIEzxu6h3jQEU2 F7ZYDMJAKsdvpEkkJXyqID317SJKih1p3w9wJCizP9gpcXwsu+++/4Y+7wNjxyznPDmQrGqecFi0 iFKSDpJT31mQDBXRpVQOWJ6Kcm+j8Jv2VtTi4MrgKpIiID2kRXol4Nj/VK4ZAexfhnWifm4wfr+1 GNHAfcZFPOh1aqsi5MpIAycGxRNtNjl0rZEbcAVCACOsJmDy6O0EbDlkTzQfwz2SV5XmRtXh5eQy M7j/odFx7lRjobMcTUCYi9S6L5lPupfEGNDh25GnSSl+5F3NpAQ6Re5Id2Opwri1uIm3QgXaJQyR veRbR0fd2Hr8Q6Xhh8uCq2dhmU/k+xs04k9g9zXBGpZp4cd5mRToXmzqK5kf8YBXrwND+ZLs3RWv 3eHX9O4y63WHH9wB1lT8KSdoMleJzhZeL9b2b015GMCFy1okIUtBH4pUOVDa+Ex7PBoJFdptJOoB uBkkRBKpOrYezta8pVd9Ic8FSTAGbvuuGETQWlnnD/2xnn0BSxrSiBhnUR/pS50sNcwl7nat6G52 mCL23GQGhsb+qkuOYGgL394utMweC5beiJtNWAMRE+hveLlNY3BmgsXHz6hw46e/RxCVzkKMZrCG 0h7rMr5M0qj8dXJ6BZoX3YMJl9sj49vs98Ra30qeSWIt00tNy0hT3o1gM014emsn+aqQAKKYJXsQ SAgQczHo9Daq+4/4YSeHLmx+9LQzS7bMuniYQjNOeaQeXzu0zUE3S2HyytdTbStt3b3qnKAhWShE 4fw5OiSf4ZJ+H5dv/gdwCh3tWISFXWs1PC4lB99FjAs2f8TSr8UAI5ocafCTKsjRQQ4QJgnxc4J5 LR8Esalk5aYlPFRvII6CjSEZTCVHSiW57hFkpmRlMdtW2i1PAEETTwguZzxZlolIJSQpNZzyN+Zc umF5tu5hg5lSCn8HsDIz4xaZa9kugV0CsBE5S8d86jdLxOg+BN5A51OefhlsRDAyJf+k+1md9PaV 9xkkiS/X9TFhr955Y64iX1eM/cOJWiIGj5UF/GznNiKUj0ApTRW/7KZxdFNZ6DgxJoV0sxn/pvkh ZALaxc66izEXrtvs9BfBOR5WkAhexKErPaNDLsk/Cspl6zgs7aIhUsOCFHerZ7nbH+kzAdnWwrOp uNPG3T43YluJ2T0vrWAR51l2jxTkPdpralmE/j/eW2UYZrSQi1LPKPNpJPFKwtA5n3su2MAv0Quf nJeiJ91deVdfQwHNWy1yw30fCgh694YqvCWO2kELdJLbv8Fnniau1+d0lJxHPsftpIjpvx01kNbp SEiM8I/vHVTAUWAZ8U1GW9MRa7L3tchx8unNV9t7AgrQKKh/xGtAGhkqOqQiiHJ7CqN5ZiIOi8Vm KVAkZYzSXQSrv0i80+vEqEZvXQuvDGcWTb9p/4SdKBBgKSBmkesgOrr0xXINbt2H8wLq+0yO409y FgsgAdlEMs26dBB/VlmPKP5WrvmMp0lXKmpqaXNfnAefA4KCzMi//mvSqCA+GFbyiu6HDPS99PTp Ta9RJchoIviny6GRV6fzcr7jkxRY8S2HNeoUNlTrgWdOEFQi1EnJYu1ie4bbmvnY/MrMTEtYQml7 hChfEB9916TA8CKrO6Q0QbPMBOKJqkirFVBinThCR6smhFGlj/I/w5iHPZNtW0yc+cbgCQIvKRl0 gKgix47QT4w+hBEPIXiijKNh8eU7BjrvaPB2tBnui4xf8cME+q89PnGEVMLAPOoJFm/iGJ3Enm6W bJ/zG3vWpoXFrUBbTa3dV1vI7Tq0xBoytcCvDZhUhvbbvNJdWQqMRaUfljenkBuDQEN3Ob1bSRVC lvawKtEt7lq61paEE9/da7DIL4Ux/iU3H6nf46+Caqa+ZK05a9O6gVFSZjjySiOYW4avqthUd9tN RnlARXnSdsIsO8qa+jNiq8v6okDn5JOWJ2Q+LcL9K8Jq/9vvlFzRnelTKEJfXbDFvpbFxdWcwqcP 2QNKHAIssTMedd5IshYaFWk3VldXpj61Hhs7xzyQIDD8LkD5I3QWq1i5KnjfeYzggVjv6UGWqkmr GVUGcXYwlyZoRgqbvB1U2/REQOEfAW5hUObIa8laUomigpNrfJkzB8izbqDIxazsMAcyPezCJ8uK C3DdboU7R55+LzEEJMD7mWX1kTdHhc8jltyR22nCOXW35DdgCLIPiVhcwS6RcJw3/K7ZbvF7uCFC idpiwLYqJLrnck76uV9oJjkE2au+fcO67B9FKahDrnXdUrxcHILaIyNB7KGuAsEMvPYU338csVdq 8Qc1A4ES6A/OkDwUO1/epfHyk2cOtqiQiC8E51LAA3f7+Bi3/xSGijdYLI/aEiys45/xUFDsLwgb 5WZccnhBBsIw7kFpT7jk0qbtQJ7JlOWrOsrslA2F7UfRfD/XTSGc7PvusuY2qo10dHgYkKokXlKE Y1NH38pUtIYsS4KiPZ0c2S3yl4F+le8Zirsf1Nn+CTxWKrSTCT5Rf52Hdz4MWbChlfiuudBtV0dp IgYUny+UWQDZMz+iApiDHbYWCMU/cVRcdna2E6c9D6H1+ZsgzjCbBqsp4KAeGPQej2td0dBQX0Zv AFfColBWtSObogJf1c3LlTXtWmCpVt6/zA+rgXl3BYsN3rSdcM6b84JGFrxTcEUn3fnEegiQFLlA tr1ajZavhwhDtXgf8FG0iYR303hw/G71f3fSKhrinjSl2PdHuBWeVuka2XbV39N0FgUMniNTeJCg 4/fOlG0jDW5cqgjwa59RBxKDLMOJ4SqHlAYtj0F6kdojCFD0jbqJHB76MEwUw5scmU9Oy73StvPd LBCQbsYuqNGrJbt3fYGEqqRG+uWP8XlCwcwJAtzaqjyIMvti5JsrvqNWIw9D3SJxwucQgLes6mQM jaNMBgMCHRfvF/0b59MTfhzpgCoNdIMAE5jYyt6LGWpjZGxPXgI211RHgbZ5gDD5ttC5spuau50K KZWBJ7CPrPkWUydj7AnLsn/D6kfwn1ht08cytMwCRnIpTd+ei6ILJ5KQamnGeVzFZt5iOS/RCl9n m3bCQCCIx6JnvTL6YmnHNWVGdrbMjgkdoBxFpaejTCrktXfIiMIGSBfHGqwySa0wlcEXXrZPTERW IhZCcpi+zd5KnME5OEnnGJ02Xl+Mb8gzQACoB6Z4INU4I5T8frYUlIt/xDlEcL8fqyGgz2Wic0mB Bt7Fg5kdVctixoBeu/MLyJUEnalLselawaNv5nGpovWvhdSgbD8YqAwV+oI8GHkA52rdVyRmwJ8J AE7OUiDDBQTfiwgqaG9fcCGEKXumNnocGm/UVn6+WulhY8j5VIZEGGJobEGpj2Dxd8/mh9tl8qip 0ej93ooSzO2Yx08bsicE9u8cu2ns67ZiP4HJ+OBIt9hqM0Wo79nFAZLwyJpNJc/Eg3CQqnXrDxNS swpMHeM7Y5iyAdHlRd8bfEm00bn2j7/0JB1iMSDvQmnchWUjyFoQ++0XBtHK0u2qzMd+wxXXDJgE xPfL08KhvHmC9DG19/dh7ygnCPxOHbqADpJWk2ePnkXhLJdeCxQG+h8W1KqkXQIMcxKcxje2qBaF SdI2JPLXTgalXmPQqsZTp7TOaAwSC5k0Pg6q0l69LcqJ9D6/cx2MmwoS5nleFCQF4gOT8aXjflPZ rL1A34vOnlWytRYnjkvdwBG8RkPiHckltGSEo7HAT5zKN/E436ZLFcoTNIv1t1NPBvMyuv6BwCZ+ fRQ3+bd95P7OKAl6wqn8Ci8VRJWCwkVQR53j4LLRLck385VKmBozzWKJLgwekLCEVvifz2M/KvpO EuLX8uBjsLt4SUpwD58LK5x93FNaICz1R5l9wm+uhudMm5xYgQrLXVhvXvb+D2Ga07YCzjzCo7J0 /6PrNFS0Q/u2MFrBvKdGPx7Rul2rZEdRCiRP1jR/X1pSgmJ7uMvmfDiA3RkDAPMaIKE/f2FPDNcK nxZyqQAgsYeqV9+dSv+ZL8lYGBqhpsHOTDR5T/F1nTqzLKXzuOyZqGSl6uduCs9ezZK1lmnxzZst IFb/Wai4fUvYrHMzuQeaQMdbL2qBk1YOZAmVa1bGWEVBOTeQiDD3Bc+6gsIMDGlw8qN+jtd+skTp Hjn/jIU+mjfbSMovn8Qee6krS2d6IF8ZryD7kh+k0eC6OmvRsWBDX9Q2AtfzKEcK40WjHNBID8DB U4fagFht4FJwoY06SjsCKSp60rUbFtdGftuwrWuLqub3mmppKHZg+JRosP8IavKGC2NnUVzfGwoS g/HiMegUgnqzUUW3CG64HZddgNpNp67pDlcDc6GjU311dRiPqAEcOLETeHKvf4uJLiGp5iUpe5lR c6o8wrvXTn5P5tulXnW44ZW36wxbkawIGv+9woYR1QrgEHJYfEX56BBx91EoCmsEoa6KU5xun/b7 7PMsaWRUpF6ZO5z6S52SITVqr5T46QMtiIyL01axY3KywnOoTUcwyEPAel5YTANveNiukDYzeEPN niTlbZP6wQ5KSVxZ6BV9IKERjYllFUxxg7509rXqMs2WrGRnerkWmW9+ZFT7N8kRaMaMkMSddRR4 VztGWvL6xBVNoRTkZjIEMGARnFGuIpks18+hqTx5Tf1aTL4p7FGm3/xwOzlR75w4fKx5sYuPEqYr HPhm11rrZygIGyE83UiGW1ohjWim/tMWVDnIgpgHhvI2TmtnzTTz4J8G+YlZkSsA7fM15VcTo3OK wlw8X8v2UvnIw7DLp/sdNfFESDPLDfOscZ/LPyWKfjYD7OeACMtaZ3fZowyDZUQF/t4s0YtjEcOI kDHxWTF2LA/sAbyBWR48Sf5EeA0GbZXKtoOFPhh7NGAb1VtXk+4gW8h3hroNJH0Y1P1Ysps9ODzc 50hTpwqXM6GbyISxwMP+lxM57+8f6VhqF2pu1d5VFJJX6A8Qi1xcNHCruFzEQgNLVakNWyWtMuV8 dwkLcjPrRP4B+Nst8Y7HMGtchHQ9QKVH7D4oIURijIkIYcJK4wLOWB7aVK+zv6DU64buo7GS3OAG jgT/Px8hdKC0RUtjn4Gat/0cwr0MRmefBQaoYxImVPn7sHQG2bJosK329iRpxhMT/pG59XNjm4Xy 9NsECCfZ32ZtRd487mJpa9exkqN+lqfB9iERRoF58fYBfWzEaOq5zD5vbauVXlgKtC6EmAA3Yb38 C9U1hmMhNzfb26H+psgsxhTzd+0y/0r3Zss6AWpRX47QJz3R8/vGgXXXI3/Igk++YArWkLFvSzvf LdjAuKG9DoU7Vt48APw1TNfWgddxwudJDet4gjpuBJPlct9/6WBr47IzCHnmuWvzN5PTVwlEPJ5S ejscV0KCBpnIjTjddcRiW+u4DybBYWHAjHcW/rug9CVj55rRGr7UJFdB+TM1e/bIE+ddb9EZD/gc u6uK1lR8J4tLzg3ErKBZhwnBW613rUvbH7VnRN6GOMC2fuLGzp1co4p2Gexq4ct8M3BGMHHjqf+N MDjTFGNvVZ2gmFMTWp7esC4d7bgWnOb4C6Tn01PTmPFcNqilJ1veAYug3HR17HuxZD3M0dRCVZuq xgpswsZVgMVW6eRWDUf2+yxgjv3xUer6ojYThe6mSFTPWfYZdi9/6ZzEgr2rbmo7xiUu9yHYKR8Z bJvtMXGejX8wk5Pu9fd2aMvVe3/iGyf+u9L6Us/5U/a6AIkXctxg/8k3KpCr5km90fm/9JwiZISQ 7vtnTCzRlzxTxnFWrioelvNz1mEp8riaL2ujptSMB5ZyYH5PmxrQveMwn5ktViSNYgr4C8hWCADa oALdfG9SZGzE8ax6TOfph5Xpfwk0CHWJ5oWr9i559EKkO4Y/HtANZDEGAJITiPHe7Dfmz9+WYzNC Nhr3J5kmNap7LQvdNyBkiRSufge0obcNbDIxuf4kyktpDtRyGhZ0DKkAdZgDpqZC2yIisSVMusCo w6hJznZT+/nCj/5jYzm8jVHyIjiK6NFe8X5X2DYstvPSmW/x/RKJFelFIsPomtTGJ1AjNa3Ur7m9 N3s2P5q84H0xfCiulqTNaOZTw4eQeom0kjlFmIQXPJUJYhUglQL3wtT4iITth9al9YMHEt7wUpb2 c5qjLi+AosIADJ43pwWl77pB6Fbovacol6JLeMOGPkYRjDkosqJHq4kg3qWNi+zwWZePcdRK/p3k sh8jc/Wyj+m6wSUryX9y8VEQWa8+xR1T7iOA7MUBiXpymuiwiP234g0I6gU2417WQThlvMmicdm2 K1WIgTqCe1KT3QnU56qmA9/o7LBKNOGp99WiixgI9yKYu6o1mLv7kLHWCzpQTImxy9npwqc+gyx+ USGEiimlXlhdty2kkIo85lfwFDY4J18c5GTpBOXHHim70uWL724bSxymmwO2+O0/X5H0qTOYx/oc VR0iOdkMb1v2/7aS40sAmiX5d2DbD28APc5cRxYD4/4kpUIXU+7+99ag53Pnr1PRzKfzDhMEcFxm lbxziQYgGyHMAG9+dIA1IzFHY4UeN95vx0noJIO2DEmNdpR/onh6Eu714gC3l+0AovHe1xJDPKwQ AuNWhofxzn2J8dziwI76ERWsCzKGg4wBtYPpYGxmys2bJwL2kPSx+47CZEzS10mpLkhL9nnTTzLs zm5HjYHY48L9l+MIHiGXoxP+A18+Lz05zLTRUMSOLRmDnft6bXKvhXC1Xp1wmCtCqRp9CYEGLLHY Cj6QPVylDz0S8uT9RX0vjJu/HHhLI/qhDGVvDpzfG6iezrnkEabqrO3ylbOB5m9VB5ecMN3jfrT1 Em6WjRed7EVm5iDTmHynV5H9Gtgq7W1ALHSLHAA+o8i4rExWvcs8MXWqfky8cGrjJFQQ6O9c9G0Q xf1nR9ztC8+8E0hH0rdCBE5E+awcdoyuITzcVKsn/bp2D7kMritD96IRj4gJC2vnzmj7zf0kdtQm MsxhYiZ2ykzyc0qPVXm2V6UE/8+tHsDoOVZBf6oj8Smiejli3od/t2uwvpeJDw/AeNzHGT1r8GXv wcN0X3I9uteZeFf/dmJ2uGfbdngPUbNkYOZtYoMDBl4yAtwF+HkoD/Ta7yfgUcFup8TlaQERO0+0 CnSOJjadz9re6BF00xaYFV9UoURaXo26e3+tL2gEo1IDmSlldpNMDtGW4SOBEGCpDQNJqvGiA/sH V9pb4BrCsy83pH8vw7fnLz2cE++IqgLt0guGm+W6PEdbPpCT42JLnWXpDJU6txtzXXGFuNq/lqrr t5reg2Nbt8Y3mQKkrVkzTLfUKP4pa7A42Wq71NWb1JK7QtZ/+i1g8fglYgPR1sfbrWDvk0wDSpwn OHpxnNzTur2pGY6S2AqytE8pG5dSQG/J38zTESTdUiyjlSs8yg0MZBreurhCOiI4CQDRljt1dCyi ANupiGEE7RA4kYWAlCssmJaVyipsKNnpw5lVA6WNgn5PQ0W716HJ8sCPTNhGHuSL0hMhEq3bMZqn LGdcCDw3A69ms3/Kt96wRp91tHL3dNCMaRpFjZKvZxBbzDhCGVb12PTGZi846OPgtS2p/GExnX7Z 52sHKyoXFkhZzKrTddu1MS5S+RXPyInLFzdc0h4SoUPREz55+sO+916YGJYCbTKn0fc0e4QN0NFA CzfJjBWjG2jgzVPG/p5PsP52cwCoFGG5kLcF9UFV+6Iqy0G9PXl8VU9wfrC7kswYnh7S9juq+rxS mJuupvgIiW4AqxYibJIbfhxVBNqcHAtAnQIsJZVOccJR2L93b+A11TUrGFnx1TqIhdk19N4Ia5oS Uxi61t35LDkUVi0YnGbQFVe4jNfWe5FeBla9XPIxygX19CgsdRhJuGRUtkAuPitnddA6jAeQ2E2Y rSFtbJsJn5eyoK2OxafkqcmI5GsT+OcXzjb4UYlegEHwSx4m+rxwHaVgfN8+eHfI4JUzWHTn5WIV JdbN5Hn6ae+hyHQc52cUMqKCBPPN8F2NxLhmXYLqLiT51EZmzebskAFyPaRVoo4JLSjPnRnj1sSG t6G1Iq3mPaNnFZpl4R6O2vto0BDP+6/vosjwMT077YqfsnUaYGzR7+BHSMKVs9dn0jGppGK6qEpP ham1xxMF4SZXJUQ39ANmRz+HbicXlXXl9fhQmLOeyruW52f1BqwAUbzmQ01Ty0Dr9fvWhjkM3ZFp B8S/e3Ic1vFiKXywtrLsIS5s3DRyGiCjNNRKhRTu+GUKErJWisQZ2PLXiBnoHC1OsryiM2n7Uxss Cf017im5rTPNlOzfGJ34TIqSlTrm+Q+2qCw/aEywblwQD1DubydbNjgNz9H1jJSo2EVpAQunK9yz 0lMIIFWgnTaVQ4mZICuj4Qt6DkWh6uFhrm+9PnU+sKduLSbuw+RxDn/n6oN2G39BM3DvFJv6buyS HSco+W3aKjj3NL7yD2gzRK3wfQAY2d65Ti2/gYQzw1dfXFTsZVfCOTkGfotRBkLznvZ62faX2mTG RMNUz6AKfUUX5ri1vUZF9MknsZgvowrD4KZqQrmPG22fuR5KKaYs1YBs6ppXV760HNdFLSD+bwln P0B/gPuTxVcehZv/P9eUDoTWp7/TD4f6fr9OtvFx8fo63HCkD4zfQiIBMebt9Cmm0+xLizXH3I0U Tc1kbzZEFcYZt1wt4wdPKr/V9Lco2XsEyTbE3g/n9ztLza/a/7Y84SqgBge/K9hiFwqI7lXmW0ct KoLpm4jM20T/gf6qtF32MqcjhGv6ojH5cq5Yqb3JDIb6ismTr4dkisMb+TLu7cqqv1D26KYLUTUB pVsGMnYc/2+XUTQlnc32HKHv1UZ5oPirkC9KksZMv8JzqRln+f4U1frXNXAKpEOF19pcX4MFRcKt fj8xcE0lib0Bhuj7Ri3g9iKgaitV9K63lU1JzfPCOxzpU0xHYe3j9tWCVezjU+YiaALLX70Pb6ap jzOmchdaNEubPA4L7THY5H33+oXiFk4aiS0EjXidv1KcTNE6QptibLR+89iWuaqt4fysWPASI1Mt 5bXKcx37TaiPjbANfC2SKOfjq6+Ksl2uv9f2FCdqUUOoQOVHBA9IjSoHXYBF29UhnGWLY+BKauTD ZNotD9b3IWd7G1mGHSW8LTCMdjqYQ1N549aNq011InQueHyhaR4UMSWsTvB+b8SDRo+JLAyrFMWr ghOjz8PBm8U0+na5PrbuZDVXbSw5+FOuCECOhE5BzqhKTcmRLBoyhbl2DRranCy4MCxb7Qi1hj0/ 9SjAaC1A6wMjdRsqnrxfMwK9lnLL7wkR8KHNtts0WlqzFKW17baSHErX1xkcFNl1h9ropZutEldd Muh1S2KNHA0lu4gcqYvFiVeV6PH+44QNQR4qy0cz1rgz8WS6lykKhumC7sAQHAxVjuPrbV4ClTdp UbKRJAgFHY6IQ4unuIug0Hq1DO2Bg5ZR4prQOawGAuPJGSSjGB0rL0cgk6osAHADSb8K5FgIR4DQ c9O5ns8PkgJPMJemJcWP+d03skL2d2wNYdy4DzA0HTDNQJV83umhE1FdL9Ops3odk8Geei6+qQvP YIHBEIl+0tIY1MUrqEJdoVi/scM++AcRj0llqi1UB9Bej7P4V21+xASXBE9Qo14pYkNh9+Op/SUD UNCyqlrdEUrKRGTGl2/rYg8bgyoZKmD9VF3xJyPhOW7GMCCcrVgEVh4ChVH1ObKPJxxYA1PC36OG f2CbAdCDLPTlnzHBqkHr1n4aD8Gz9rO3g9imCPep1DlFZiCHdAmlDLVkL1FiTs+p+pFL0kyapasG WpYA1CfWh5UeSR3v5lwctenq5VhR+JID6b/9K+rhUow8BeMJ/RUM86PPeMq2aXrS4KPTZnY/LxDL 0C+g8To6jQTrz3nYOBpDKcaV2JeZwviWHpYGL0+5wD4Ic559w4gOAI3cUg8Qhfd14wDEcCOEs2AQ O/RGpl2D1ICOCs2eHxjE704VmYHxOAGNBDx8ieyRpWs5KRQSy5drfngxNoDU/NlQXtrI0DZvIHHj 5phzPjOyNFCD8PL8cQolwWKhxokldZuSZjo8wA/BUAsOIozaWad8ZQI7NMV9NbHjON4fX4V89Wh7 zIxTeC7SxK0NCRwwitzu0BLQ49VLbdjuVxHzUPnfmj7ohczHZdlGrvL4+rLMinPfpWAgJWsKbTZM RhDL8dROFkeqhdHg0QlA/ijTgdh/jgJjtADxw9uKUnlOsnnz+cArCDKMKblSnXxjI/QdRgcgYThR mOv4Pr0Hv6VnESL9PyAfx11JnvsDpRnO8Nj44PtrU4fM+VKHLMM8lTAg13JNMrnpPE3GxhdZILra 2q8c0R8r3ESLfpYo59a/QwTEfBqWUoTxO188vRCiNV7E/l4FIwDKCx0kBgJ7DL9eePQZG5QfJeiI 5EbSckpLc2caO4T0kuAFe0CZ9y6CgTYKyIgGlCP3KmzxqHAE7rtiR3LlYylws8m+VwdJ/KM244HL g4LJT+4tYggZmg4I7BO+wReFLY3U5d9TA1WEm/F/F9g/ODgW+Wd558JS6qRi2uwrWoqxBQrmLK5N w8yEAdoRU/KA7iZN0oD/3fch328aRUeXBbpvDTJNunDlaJY0BWwYCPTFv9cxt6kBcGnUU/iVrCpF KYJcb+vNStp5pTq2HBtVNXFofrGRbp+kNjXjlfdP/bw2K3fXqtFLAVas78XLwMIea6HyGcISQ1Wd GqO8YY9KSl56GBt7SyvY8/As5Z1RnJnliExRaBG1rp3KOBIRVfOI26/6GZfzrYMMoNfRr6A2lG+w sraaWBWl4ywPnbdsE+XwGQyO3Wy9HMUpReipN6LQZOED/vmzNqZSrPRTINLWdgyqf/7pJ5FcnKqZ fbEvC4RK6JaEKGlGMsaeImdErEYeed4LbY0gmHGdiq3H4V6S7OS032/hs458xoSv6OKSdWkwDsR2 i93rzG4d7ezhBz0+fPMpYI20OXrzgvDhBdRRtfOvRCJXh/s+Z5kWNX9YvkT1gaAFAh3coLCngqY9 awa2/zxPXW2ql4A3taOiSmrVq3i9Q35gdR20tMIjz7/eNUJVmJx7qK0h+DVEfUNWcISpC1RHm5rU QNfBpKdaNrv2rNEtiKbgbydmuio07TMgynlF7fU9AGhUnefYdFQ0/QTq/hWzILDSdd7cQXuw8nU2 aL+VsrbFq16Xk78rYQeDxO8Rsdlg4Cm46m1c7XfcxyBF+97qlI+amtwyaNiFfTrtN36px6qe2BYZ OfWfWrZikoAzuP2gMdU0VlYh52E1YgI6jgdAPEnCTD1J+Hpe19TEzOzbWnLp0juTzmIuk3pAMIiu I6VAjHDby13BvfgnrkKGpLMRPdPoOZGB5QetdAIGcIG/parVfam8B6CkLnQdveugae/fXsO8CaLA Z0hcEatjZ3NMwnCdavHJGfyZ2DLCBTjQtPTP+SXwvi/YrPVhno7Yct+neD9ZVvExUtoN5iOUTRyX XKXxE2RXPOw/jTerhtqH8z0DvX+g1ReaqolBSCRZ8fzyaXa8/FMcsLBsdkFaacm+TBbNHrJ4az2L b6LBwcCnUa8sbpYF1rq8Adfu0ur2OpzeJthhd3AlMmTfNGsKbHS5O/np3vYxBcTF4wWvXuVW0I8J 24Wo1E2pYYI9Ma6zCottW4+4yuGplvkGmhFddhpoyFg9qL6KjDR0zycrpaJaJTi4dTTh4wLk+JbL bJXCZhP2OuzDCP2zIQxTv6i5HDxO6NKnfNmH0ZJ99/IrR5Bez4DX9cFs/DBUckuCYmEwZYarahYO pzUK55QlgnZCLMkSVw2+jeOduRD29QxVhxHxbMUJCtg7yOHFBSESfmC3uK/7Csy/pYG99Rq1By3a h7MdAkX17OVOjtJoubgIKlfp6pqD3bLZpNyeT3b5lvn92ltRPq2/hoi0XwOtN7MnxkvRVhVM1pSQ K41EOyCcIJz6CtM7rV+Aj5YU8MPa0bEeMSPWig5ZNnsSOX4BESvGK6HoLYpXwdX3nS49KXyhW+4W 1IreGnS1D6QyGldZTgPMcUf4EaKUMFGyQI96ne8b4CVTiicOZEkfqoXCCf8Eyp7hNNFavE97lmhv v098r9Fi8mrzXVdP8SjRKSZMzqEg2dLWebYHOeqYF5wAjTh8zcU47uIKQFFtXjs0e4jlZ2z4xWgx 7HifuXkq/VCMPlJ0QKn6oes1spHiQ1Y5td3firzX0MMvSbNCYGSLUsZlYYn5sLfXaCKMr2Ai7smO fgD4O6/yqp8PTo9/pP0mthUNJS16OjFXxc9XX18Fq4S+iGJFAtYMnCZL0pxTvZEdot2Q4d1DucIc 0NSm2xRY5l6XRt8VjL2RhHnD1kzNGbpNaEb1duJQ864YFABcryidEdWlLzI9DFbWCO2Nb2xaqaOg fUkuwuJXM5qlWQXI126G+lGMT144rl2WZPoVoIYXuwAiegRoEM6RzZ8w0w0uVBwriQa9wepGL7eb Q8ymjFNAv/u/MhS4BQWGu35NEwonmO8CkJMlOdaxP5LXD53TLzLtEuj7i5CfZMZBNs2UF+iawP73 Wi0c7M9zWzgYxQXjjmZcdbNPIWXpfz4kojeVbSEFBzw2Trf2eKDqt98Mru9gkAzvyvlACs+B6mGb sCI8ignC+Tnd/woVfm7hOEKuqectXL2pVCyqjYTk0mqdo0h3xA2hkzJIzLM68LtdpFls+UcvepK2 GrbTy+LVjjHhbMUpdz7pCR1XahY/jjgBF859PiWNUS2/7aHoX3Fp4ElFXdE5s2RaySqas7z276tW WOMlbZgQG2f/Dkc/QSGwRTwWM+VkQ90IWf6TTZCvj2idT/sYdwcQRBPvfmuVdUJxOn6SrW1I9kUe hIDNpyYAR+vlQfYgOsJEq7VsuFTZ021ltFTDZKiJtRjNA5FnG1er5/w/j2g63wuEfSMOjl6yjRpc j65pSo98OjnwPmheCTazHIKTW+eNxSEB2A6yg25aH+cOdz/ZQC8q+Ohc9k0qiUrTCobn/cC3wFXr iPDqHYdoef8eEPPCpl9aaAs39Nq8ywD+Y4kPjuUosbxoMFSEKTaVQVJFm6VBaKfMGGOGTj57FXUP +hZGqbt1AGZ1+Wa6NoFixtjBaUM9TPiDDk/O1NRX9Q/XKPbBDy2P3Iq4opT60O+Rw8o9KCITXfl3 ib5YAzQArjJwEAnch0VA0KEYTlhLhVrbzFmGzIQSewCUxz39UZeAtwO2aRkPkK2+wuFstB0DXGXz zkGUruPnug1SjNYQ6NIQhTej7GTj25IXTeN8lOdj/7kE7ZHU8xEarSnBxu9YxRLpuRiHuga52Xcv 5dqbW4OurhfpLksiW3V0tenddWrkN2g1nGFIlbMDrJV16joUchzUgE5X7HJC3I1YMR+EysgtWQ/1 I6qnVldXsM2XWQiK8yXIXGMtFknIgL2RwnZwHINWATq5wQMHS7JwWcqTvdpuwpdaDZga8JyAtWFU VdyxpJkAWuIOySLhZrwtA5PRJRxYOZ1R5+PI2CpaPQfR6qeByLPXXqL0Jsbe5yDpBA2yJyjD4Wh5 NUrdKo7AeJ6/Ma7/vvUl4p76aU+7spnXlNlQ19XwtjHLT99f1U6KPgxiK/HDqDxIjmsMSdQczS7I FsDo9hPk0Ki59QI0Us9ZuxZ0LDTEgOl3XqwSpdl32GhEvxXmyDGJgXr67dCSKafuCZng02+tIJYN JHM4QtHom7dwI6F2A1khGmdjIAlTdjKj5vJ4t/Qq8Tzwm63U/nnqPhS1Fy83TEy0L1UiRW/ROrCS b2u1bxjJdN7bU5fHsqDZ99DN/nUcdUelUhZR5ABMTatLWpAwAWU8TORnmGHrIgLlIzoQa+maUfnP kCYxKE0gJo1qrsdLdIUkwUjo550YYmGDwHPlOcMh7xNMSbzjZbFKOAN8jCads2njWvYkGKW7VhVD lrLXSHja3UJodlRgDvW9BwtmQisoW0hjEyYdmALmgLCjd2lI0E7wl36ElQecbvAi1Y8mAiBt6n+6 icLfLFWVZgh71labAlx6S8z8hWVC1UTeRBgSxpgH91uSZgqkcdA7wYd1SdtjK8szgBG65W2Ltuvw i+x4tdHvVqQ8Cgdxw5t/xyaYVGuOBXXarB/QfHcuExJws+xgnPYJJhpwMgwK3bHE0Ff8puffdetm Wtbkdr6A6jsIE/Enon7clRtyXfUyO3aVmDOLDEn43QCD0OwWfWfTRCFnMfEtQ6aayEuq3eEMu2x4 1o41xGEzojiTQG3fAr7kKHKa4uXEngfJvJCD0tV4iIKwdw/YXdw6CMLrE8I2kWfmE1ulLHUi4t7I xzog9SVTQ6pHCSejBH+FIjI192CbF8xuGmh/m4GypXTTumbQwsnu66sdISv3h5rN5VRuFqgbL9CJ P5vOroiCA7sQkfZorChueQugGAsT+tz8Csr+i+3MATnQ9UxYRQlTs5rEAjXevXdZxZ3IfEcgx+Vn syfiauUF8dHTsRgni0CBwPGqrP/gO00WUVnjtfNnlmWX0rCyLmr91Y8P5CG6qeE4/UhAgllTGnmD SmRnyQFcYcAkW4Ir++r2Xpn2bQcFfVeDJQDO0WEwqrOBvQYanTl5yqQgxR/NQPRjnAzV7cFqk2CY 05u9vgmXrZbsO9NoD/Y5bumtw8VH/vAXq/4GgRFNqapwz5svef+HO59v3edueZsJTR+ORelE1GlU ZqA7OiWKlSBHmPvraB6ZDwoEnfUzFHeQFrr0vdhNaOQgIjr82Dv0pL2I/ORjTbG9MfMTQuWu9+g9 +Lesx6EUvAhe7LOriludx7IWwBvYMVesk2m1HA2cI8pyHxNdGZyX4UzJAS5R9KWkd7q3T61fuPtw hbh6MmRhRarXiazuopOsY2QN0WZrmxRMc7AvDvcujAKKZnFJ+/PGhA3IVvoLXIbFm6pWX9OrKSqG pCv20T0W1ppwGa5oEe5/SkESrkNVZiTpty0rrCedsMCrllHmw/K2s66KpUYJVTgmalnOZv/6yHW3 tZnOO6SMZO23EIKysNpGC0AdM1OwkkBypEsf4im6Y6k3SJAQ9SKaiENy0T92ECZkfzuCajoVKiGw /kkfDUSlRL4HVSdCyBB0XDZt+AXE8sg8+E0uZE0mgulKKJ3bmIVCA4vHRtVeD/QD6DnpXRGjZw+X 1S8re6VypCl7Ssz5QGgJBQ/ozb0UU3MsgGr68nSbribesm/Q+gIjjFC6KWwSjzAzpjcK//nnRKOZ bi69jkNjnI0/T1WKTexgK4bC+4Ds4Ae4W4/bwk6jiF/wjqGqIp4z0PRHfYq+RAVtS14HhAcGV/j1 IssoUaQT75T2CvVGLGt3S8x5KDIJGRywwCgN92EL+gbgj/qDp3hHCyMy8uQsC2jbxMZcOciTwvLz 3jR1BT4yd7VQabUp5TzAaf7bhgT+tLrDBFzyqzlOEYYkswcfB95YtPIgT/80oQkSrX7E372Eu8EZ RoIkOb5S6HNPmKBL6BAYcvc5wzYyOl8pqoVXD/rCPNrc78ZaNPGGnZF9/jvZ7MACJwSuwvFz/4Ql JZxF02UVcfFy3nCFL5C4LQX1LquL5YtEaQFQ37bA12CFkuHtMe+xNmfTP72AVK6nWm27NAs64pXq wBns5RsYwjAyhNMXqHCpxhbXbkpXxfWQl/8cSUhW9HhGtTk2O/fxPkcvHyWrUYSECVZ3/DJXITsY Fd2aItJJCqeiXags8uZybg+Og27n1MiKvXfJGbs24rZ1L8rnASlicljrxY6PR5v3CjFZmGLktTkV ZE66/7jGggnTfTZfQBZmyce2Id3ouPY1YpcbF1vDnDzAHRAifsTpdM69RLYqdZu/RZi4POY4/VTz f8OheSrZJ+ZlKcK+K6Fq0JGi1IdSQsfGUiifZe9HzzlJvMjiOXvfw5LmTdCIpiR0eov+emcdlDtd 5RlEja8ITcOaDw0RLc6yVIDUiJ8h9O82DF85ZJUV7mD/lW1HMpkNH8sALTUvuLew0qm3rWg+hUWO jWUKef+M/yiLH+imHKV3jqwgOjKyvShKOSWjNCB14lU/9R21+zfMA5oyi3f/HzQqySUvG5f9QfLa nANmn9KDzBHeCGG0ci6LHVrmcj1PCbvDloOmQOHgs0PKwZG1WvoG4jdMnqulM21hhD4OA02XkYSY lXVFSqD/JWLsbZZcsKKPYtufmaxJ1hfdZ+dpfQzeKyKLzZpHTGZeNB2F7CjkBGxKPkuiLAAv0Fmi C+/rrcmCevR58W4TvHFT6NId7VOxdbeSKfliCW6cjKUBTBTJo5i2iefz/kZ/Xr2sTbBkw2zPaSzC Trescbe2bznjUC+ry5iNBDaUtNnJPuL8UacAaBspqsIY6+61remKdBow1pLD9bMseqi9NJ//x9Bz AK7FuRG/2VwPEQFBX3C8S3vk0KdYWyyXlOA9/dsHQcUAE8Wi9tO6w55de2zkxTdIv7K+rH0vhe2R eNjiwmuWcSgBdg+MzMlaAdWX4W97NlQT2YoWwtij3izwVM0ayDQX4fLsINjShjj/IqiH2+PwaPEd u/VUD8uTB4vSoK8icm5vD2uW2sHGEjKWX0k/GG6cpengyajzpfey2DMscTjHmRzAJ9J93uNzg03H GXuSBOtYR1/HkicUIalGRfQqDXqTh3RldkLU+zpTgK/svdI9/HMwrr2m8NCfANYG0VLomcK0VPgj oUITcFYyXkhkFKONQhFjCXZLylHSYG8Pczax0VAC/LNPg8MJcsraKKUvgFnkn76ZhsAzFe3BjpYG ZrrYRL14L8YTmP+F+s8FniQp5VsNnaNNKpA+nBpPHqdR/ezLgUc4UyduKDWZZ3jUrDadxt8ng0Dz negBnMncy5ZU1S3U8OsaUetQ9QRTgbE2UDpsgrtN9/DUrgUHZbq328fSTIM5V002+l6E01nqlKQT h5aSa6Q3Y9JKYmhXBQamhF5wKov8ZyDVChpTmSovYVh7/nCF2R7RSL+vZDajsXm45lCAsBuJBxZC 8yBPxNtDod5HTSAQK5GOt7VdApJnUWL+3/8ojKwfrP9cmVBPUQzl/iHWfoFRuS99+537BIiCENSR 3RNGx9p2kIwPcWTTdazYYJGOA2f46pcMkR8mHJkU4cguMtxa63wgl+sXTT9kNrXbpuOPUX8QFBbN 81VKT445B+CWH7+85126P3a2hGBMCkiY5Wmqysyy3C1BA13b5wp3vlZ8oUgOkLRNNue85avBMkdj 1f3InOZFDorE/XG94/LOV+QR9lXrjOuIvxFVK7oQD6AhZ0mk4pRZTcLPFr43eB/qgIefJ617vl8g Xv778lM3j1PDEMPNX2WXn4em9qVpmbPJChWccE8QEQliumlsc2eA5z2jaSCE3siI22S415wtYAty Wye27zH3tQB0fwg/diVjmk6ILmXgo7K5UfiX2y+kUirWdW5J+S4cS6bOaDO/S86AGUkgeVttFvdJ rIfotBwPa9o+k8flqedd6SbD9zDhKtSZfeh9tX9O9r53OaVjv42WM1EER3IX1XF/uBg1eB3UEUeS 2GzaQCADHL3PlP29qrflnflFg7VjWUC3qXCuKL5vKzpC1O2znTWEMVif6aQk0cIdPG9dk5ADCeZ/ PD8qQSI9nzkYfPHA/ZEQvlqcDx6JrsU2fIn7/fBeVnk4PkjwN2asDMI7emE33ubNMToc1HM5F2uS ePuC6AlUqnxQAN++/vvxK2p18g/A2Dna8GF1zg4giYJb0K4JPpH+4hIrztUy9ocHJC0vbm2jiGaN 2JSRhe4g0/hKp4Bu7PU6lkpzWc87KlFatEaQdz4F1MOIteJbiKoSVYf9/CeYWS6VIBiDUWwbrpDX 5hdQt/l/1cw7+JY7Z4wOP1YeOjVEe4C1dO3JEJimxxS+PgnzshZKLOXKTwBPu9MSBIjR6nLA8q1g ESMogeoKALlio9O4jdMMOOFuaW3Zb4xflXOn4J+serXq398xbP03J3cyRmd30EyuxlL+Ad4ws7t3 Ar8ggNprAcovCkvH3v8e0qPMx6I3+CI10hhNlTpt9DPlWgudtL4mg/8ac2vsdB8vUhvJAsFswCyt 8kQdIob+hlxcbfAr3lngA4wvXtoNvfZXUrT7DxqxJ4kZMzvE2qhpU9KqqYfh79DPbLyyT8tfKXwC EWHA7Mo0kHgNTIE3TpwnCFZ1bA+2mQ+CfSJTA5/DUQbedVropCmXyEMmY/A7m8Cyl9Nis5UxV7Ny 3B0JimwfYlKvXmnczTLZhWoa+4e02yyMePDh3jcFAj1twyWi+xpZGoQW+4jRoYU+W7z76sNxyA1/ 5znVJyWdEg5yfXPpZbwYWQul7Nj6HU3e2H8H5NQc+WxvMLtkMR9lYXWsUlUCdh/Rb+O+CljXP9xL kkULZQYCwS0i8js17z6t3V6U7CHbT/XW098rYLbIZJRXqRme7W0cb3QA6k2chDNCE18AzY/g3llU mSYwHIHi+UBshQrwGHnJFAN+QFIOL8vRCt/jxb+UL+Wz8Jx22HPV6m9TJVKOqJUWh3vR/3wbRSgA JY7yog/O1ufwUBbDgeIzsv4J1NlqnDGrg254mREm/RK1Ixe75d0TJZYawSA/0PeKSQ/xCjyHLk9N VniuQs9fF7VLIbVgDvTA6vGy/olTOl6lD2k2Hk+tbPc5ZpWvRuEKH0EkrdfONtnHyF4WOUcqr1SQ mKQk5hRrx97LLSVvk1PM64zUYJhg2BxKimLwFVdlWn6oHoKBgfIihb+N9xNX6FZutRtyay/ALdyc wpnJF39NwrZxTVKdXzUPK/bmJBQk+0DRKSx0MZOd6+1AZ2EeeOOhLM7G70XcjzKH5IITcAOmEZjD jEijPCot13u3+ySVz1Q21D8e/XUq5OlSXVHno7Xb9fQ3fBdxGJEmjdJeiwbmlHaKbSBrtJczeuzk vCpUjI8NW8w9Qq15Cj2IakS5XQbQPbF41SfhFkdWgWcnECr2JYwFzlW0YShkh14r6qNOcUk+/qfC 5TJ5EeZeAisrKKEC70/O7geWRSZqfDA4jGUrpvrp2c+qntRCy8rEMm+SHHL4b3NGcNPcTuPQ2no7 mSMuaUyuOqTnz2jlsWimR3HrVygsz/+FdbqczPumnQoxWHga9sBHnUfyi5i9nlXd9r+HnvIimih3 To4Z6u31+1DppqEvLGOOKlW5UyXldw+7DXT/ZJ+8jG5Rgm4eQyHEXv03zScJ+DXWo7WDmPe02S9A CjOPha6BVQi70qctS/tFpw02QpT0uhGcYjLYZupQAH81n90ZcSmYAepmU9D+enErAiAIdb1Y6WIQ OMWFHwAV2wJU3jUtlug2cMU5ToR8Iq3RXB7j7/Z8gHC8f1LP34nCOL8Y74YSy3EShCVEBjX9aWJS v3PE27TJ78Vl6W2Db2kZ5KqqxSEwgPZ1RHkNPpCc/FdiGerAPIRs/lyU8Tt+nKnsMFkvgyFmkf9l vGbgfYmbyMeK1yR0W2swQgaukS2bs1mbTWUAHiD9vsqnR2fj0gtfZaoPEKXrL65t24HcaKQ6RWH0 0+/zYsRpbvGiNXw4k3nepHTi4B6qKz0zjiHU0+kOBhtTjQYRiITXJ/VqWDP4xnDEo1DC7W0ce7IJ u7njXnmNZ3Z6euf+KFfiJ46ICMlJFDP9fCjRu4aIUvb9pBnzzMZHCvQoBuHePeogAbtueqTY0uue cogFDBqn3U5Sek5creVod9zmGmAbpq5swP8h/VEnHP/ahfRAeK7Qf9Ix9AKni5qQ/T8hdVM9TZGc 4vq1FeUD3ZdnfJoBJoG8ch1iRLcHgp7ORImZCTPQR8VuH9vfaNYJhKpJjBx8xbVzfM/FqwP9Up4I 5slVm5qH5VfuOj4oYfj28FiOi7Qv2V2vHuqFPigo//SzrslKJRfY+hO4hcsLsOIDtY706B21tlon yk5J2me4nsaOIGEk7GPrMBJ4V3d5MlGWYIbxsl2XR6/05rrDR5z4OIKww1JMPdBoIJ0Hln07VewK 1ORVIzoJRnsTXG9Z0vSEEYKj3leRuQk/SD6aph6LN3pWUwAFV6K+BrEA4m9IqAiUCq7z5mNbkwob mnJNTjaKs6tobOpqEAQx8L7jdV4mHptR6a5f1zBIIqjrhZtmacil1hqR30IKxwHufh39GTQaQWds dn8RgETk/rkEg+xLvgjAqf7VhjVTJYh9DUA/HOsj0QT1ReyP+3QdLmHSpBExzpiUEpREqaUwR6cK qE2DDC+hjNjj9WqfB5MhQK33v+qhBpln5bCjtiYYbOFUX+fl25u9hob2YonrdPdJ8swjWNpO5pYP K+mT5BqrBPkRHANomlLLysjjJQ4w2x3MGEynelbq3epeYF2LZ0HUn1XeUYqs/AYHfF3KKTTLaLmu NPVP4/Mc/ZngHCSO3vMek8+Ck6/xZUnpqoMCWLoPPVF1s1nbE8aTgNbonXdVUw9poHjU+ESDHII0 D47jx+JSCyFQvIX/gLd1Pny+O0m1sck3Ibu4hbai6MF2bqnZQTQiS/7TjrrNZ1GDEpw5d4e4hBdP 3lu6aJ2jf0Pev88bQ1D77o+cIxPeRT9NvGjzSzTOwUlSP7qW517LP4+1eypnRpyRN6WOW2qEYxBG bJ0HsxG4S+Fo33KMekgbQH+Wsuy6RB7ij8Bb/136N/KXSjc1IqXnux+0Jj7SniU8Xo2sGrt5f2Yu CYsxlDngfHh8grIyB6EzNoFG/HPOZuy+mCTFEEcwHWmEu/4/1CLg5tGHhyC6nuvBPzLJEX62BVXA mwIqW6rDJjusgEcoQr/86uWE4DVaVRcQUSd4Na6BuHwZVyhZpnzjF0Y/JHFqMgfHNJpFAYL3MFRr PtgOQ4vX+FDmM/MbolOTgNtPJLGw8plfFCf0jL2OAFHrQcOk4k+36kj7r+dFEZVOwVHCNzC+U82K Ce8+zUOATzxLDj7NK0ntNVVEWySvlDvgJen8PTVweMWBd6HqHE3hKGDFWKMgpK2ktcF4xOSkG+ZH WDAjoFxUfSz6oIQm6U0KKIwCRjnbp3iVuJwIfyyj60vfiIgO50Abcv5DyRVGVA9G8+P2UQfP+ouP 9Ai5zke5NK9eDj0rrZ9lDakElq8UnSn3dahrvZ6xZI5AkVgLrfyaoWpjaM8Znrr8KuCiY6cz5rKH OGNVlWJKIDNsRUgDVhHjdcAJCG3c10EmiYyzRJL/Ccv1to457A8Q7NsClL8GVA3CrorTDBKs3twX oW1WXGj1QVbMUn1ElCQ99e/cHmc74TAflCjGvoeYsZrLLSk5268M/CXKQ72fYECWATjBvDwqO46N C/zoTNAvgYB9WWnH2uxU19ymHKPxfIa8cUWAWw7V2IbrXxQRH+6Oqr/mKVlkjNl0dhnrJ/xFcuqg kO9eLg8EoHoJUlK1YkcAJ+x1JSsLLUwtBydmOLyWVphT0NiXfl1QruVlxgAotpL0gE5JYjfxMDRx MIagoke2N8YEYm01PSIN76WhQxqJPQuQg4wO6oqSWXxauZ3POq+UrVwHm1YNcXHSJKCThLIYroV8 YN7yGrnuqwyIfkI7xKo+Z8OxWJ9PI2xVXRD0IkyfTv7RwtsuIstF59+STtVnoksBDSpB+lEwViGW VSXgoc6/MGltqOAjOTOQ5uqjEEd9x+eu4gYf3B3HgCYkIXTXualQ5DuxV3rkvW0SJbsYjjgyT67y c0mW80GtWV8FBJJusUMhMTwnG+yQTZJOqXp01+ruvyTDE6qVcbe/CrumuiiuikWTdQVT5ROkkocK qRoypbQSkqU+7c5Kv3cnKAM1q9fX08KTDzmOw3K7mGnOaasnb0RoMM9VWCl0Ol6DF8mmy+Blvp8p PtqjapgEyeZIrjhXjZWF13CmkA7tHtFHrD9p7+LvAGVWmE9ypCukT68+D6IoQf2GuPjBbhumR0Gn vmKGYM/fpYvUrBlpuXsViVWN47q10dCb1GtzcggDygcl6iWQqdLhOZ9AYuPg2BsS75MEsVFu0lAC ameTdwFTkiBEAOu3Ojvd5FeHnOCreKjJUHFfaanXWivNTLnp6SotaKJPDF3ZcZLktveneHNTI6Uj 3H7xniiVXbjEUKNWlexsIdrBRtOgKb5VNLqZxAN2Wq4YZqN4F3Ok46cGxOah/Tof5OYS17UVc9zS ZVCdJbOm3YT1Kh+8shDz3zLJ4jjS3cjDxvSGOy2ZnGS4Drwx0ZocqHTER/PTg1rqwsPsuXm15A+w pRJZf+/yYiKsbB9EoqWHnl9sT5yhDOfnL6/VxIYdaZU5WOmgVHxUvJE/Fxr6VvsoeZhliEqryxEQ SRerp9pEOwuAsMWG0evHoZoKDuWrf9NCCYLi5vfXjVUy6cJ3nSivU0GHhrJy+1APmhE2ZE469OYh SWk2dGQFbeyFqO5AlTS59GuAP0ePZ1NKiv4Yeemgr8E3iJhRg+Hsv38LO+vKF6ioR8Dk0VFYgMx+ oOACHAt5OklNpFD+FeyD/kSDckddztyFOHiMyh5Znx3VIE/bAVghCYIMPwonx/cqIBoMRRhSS7Zd H6XKuuSY1GH1G6+4JE06vAZ08w0Unuec3Gw/F18NozSbQ5C/jYBa3NMjBLdUhpxDEmtP0GtGx03r piqrk60Ar5zwScNutM1sgY+OELJTXzmD6C9hhC4LUb4lZiL12K3gNQRQ+fDM4qZGh9AJYB2LFHxk BOxx9XJIEGmN6ZAKQCV671m1CGZlLuwXM+LX/th8lkOwPtuXPqd9ueoReaRdeqNxjxAePbrMU4+G d8S3kfIxkA03jM2iQ//M4azNkaYNv7dQrqovRVh5iuA1Q5e8BKtuVNTP2W+Hb7ieiZmtkRfDXCHT 1Jje4mrSs2zLrnYQycIPjdKAakoXgaSoEtr6PLt80kUO4U6gOe/YRKO0doPyEohH6lF8pZDMtyAw jn18f4J3YBWiXvXPRUMOM0e3xyVlMtSwv6OC72a16GRN7TmHo8WbHySoqLY2oUsdhEjX9Ra3st0w bfdWmFK4pQhOE8LuBk3jCpCPKD0WCd3McSo5Hs7MUMNtIwx8nkkoE2vkTowvdiDYam1jpblgiHmV 3bL1AJtdSvS+bjRV9DbS9ErB8Ogu1aBCbt+iJsOb+73FbYmWPUMnIRwmEEwwmtuVUyl0NSKeeRRg Lm9G19yUVcDK50bZrhVEdU41t2SJZ4rrPk68gVofnEQNT2HKRq+guD4idE8cwzaivs/3meYEnBSA FvkQUJ6/9wtozvouB62hke9i5zx0HWxutl8sCNNGy1yNIQAzaDa4We9LSN7K6gSc6py4nc3CVQMJ nK2CFOU3ON9qBhp1Vj5a5bcoFb6mDMsWLY4MFlp5mmIuxwmUVFe9/Xdu9S5rlR/Iqu9WEvUaEzL1 uwRomxPz5cM8V/2/XLbubLiJtrtt3MAnFo1dKDTQUu8Ln9BZEJ7ImeHQZtGCOWbRnDjhifreDdRM ZssgNH8TWoAZr/4grYxMzDDiUzImtQDwSSskn19dgCbm6u9wbbnXUgOXzHxY53hh5zXaCQd2twDc Saf2Ipl3l7a6oKeiIDhChPdFsVJ9UxnMmY2Kp6GPM64HALuw+I3RlAHukteqxYdYZj8vPDFhS8dX y1Iwhd6HtVQ79Ym8ru5PwzYkJqTxRElVbtLcu4ONYlgDC07UW3SUE+rIv5ycg+KvzgcoqM8Fjjte 6GEw2ZlwIasUgMnfZFv/L8xOPtBvOyMkH2Y4r3LPMTXBhWrBRoqQva0O+jrbDP69gYdp4dsiPkAw J2STUTMqCNHYO/Je4ALq/5sdJnQ8V8VLZwvdNDapVa4Ey4xyL+KDVtcsre9NlSqUKMYq/37/UQsU hdjFBAGVgxOnqmTk6cc0Qcy4pSLymVWNPGAWINZ8syuO2/wRsvY/BQhywbrV6RHEz1Ar8qH5M8H7 Kp9E7scKM+kSbewgV7ugzgutWwQfYaDyWkd2izMRtO5nzpZxOLK4LzkVgY7up1wxewSFb7IcMXeA eihp0NNbVsnDQ9Ng6hN8cclqF0IHLosnCeSndQazh6lMRNvD1BZz7nV22Usn9PBy/Hcm+9VwzJ3T wKZTmHpZ8bxtN8u3uHhi6tM7wq1eD8cI6hSfid3H4Wnf4WEoea3p4bqRrjVizf8/z18PrqeDLgdt JbbJbfndJgov0x/Vefr7Bi0a+9BmiRsWyTs3CIWuiidCobTafxmGTrs4KlLnGd+oaf9X4trO9/gI pUnkZ/QSPyiAG01YmqJ0bf1wDDeI5ZLctBjpB82LZxfGx0iG/MSbf34WlgCq3tC90DxX44WEKafX QyKfR9mhkU94asy3dW6JRA13QDsySjMeSe0sP27hi+74N/Cqzok53+JLShsFXcnDgwa+0czRkVCx shmSyGtAjnAl1hNR5h/Mvw5vlfmXOedk86qBX4rW9jGZvkIzEZUBuaPzF+mewyBb56sNctd0CVNM WzxdB+iaMi9Cdwvr5/LpHdDfly7Tz+BocF6L9HvxeRBx5KZvaLyBOmMtmImerbfvoJ+7siy3rEiw 2DzjUJXaSNMHZtX+Gxz1CC5dk9PdE5NM3onHxhUJUApxZ98zWCSiGSA3AleM68s73MAa2Ikt7M/4 t/T4Rz1axLNCju2PQoXuAX90/A/QMb7+hWeStOH8cKpjshdhtxEA6sTmbP01KJ5/iPOz+/g4dmh9 lYN5yigfY3pbsMeJksA0pUOo3lgxaR1TyG9N53PfM2bq9kyM5U1fOyD68MhVnjyQL0SblKk65pMm hGovXcCpEQIXVtsPOfKYgKY9MJT2wdrBlNI/nUIqouDTrmxt2aTTYcH/sOEfpT3BCggPux/0M9L8 5SdxStfk5EfJ2meRJp3x2xWSVsTbJH2qqOfNFZdmK5H6lypaz1UNcqgui6DBdwGGRU76uUz0fZ6I LHaHEKlJ1wn2KnNChq9W0j/bYTZg13VJi5YCY5B+MxiI09N/nzSgyHLWfq9K+yE4fcV17HhkUNyE 6yRWmid1GvtCs3PD3gRT/NJSY+YXkwS/AUy5ZqJ8RdieCTeTB31oqxXfTGPLTExU5zX/Q/xMjblo 6DcEls/67hbkH7EM3nxWZoO6oU7+VIUIihXX5tUW4ls6XGoUNNkyX1M0tUwwj21fQppwaKSiIPPh DdOx9WjIVN5dWZVS9sSgW0VtlRLjI4AszF01SoYhzQlvuo11Qef9qjFsKq0Qumh2c12u9H3wRxuL TU+zhs3PpGVUYBFq2ghW06RrPZ+aA9ialKF0A2cyZD0jpYseQl0dCeCRdqnwYSg1+9PVTm4/yh/R rPt6ueGXAPeO7DgMdyRPuueJ4/oWICMpM6pKeThoCtPyqGie6uXpZvMRr7t06w94mUXBJ21Ec4xh XvUVMN9uUngXo7GOd8lP3p4X9tOnZ8mVmhY97K759p+z/tB4d8WCm9DKxHUGB3AoZgcucxvUhgR2 3UvpWktstUlBa6KFV+isyy+CmTYXrImMmyNUci9yWIdw7M3WvSHjwWY4PtPRPIPz5UDHftPB7tKM Z+k5NXrJeJ5hhW/ory5OY6Lh5w33TsA+HUMSZU7WbzdKhioJBWFWh4XLQpj1/Hte7Lrcq1xxQh3R ytorETXMcUP9puBtPMf486OEtGTmNmUzurfUk1UOiYXx413wCut5kPyR4oj/bfpjl2NJuTMkWxD+ JmAsoVgxz27xafBd1bAPl1ACAav7mg2P093nsmrxnKYsEnX7bzuIdCzeG0cpt2GjheViMZw1UNm3 638eig+00Ismw+8tSCMs5UVuiwVL3fTZria0A8W9Nb81DNIihdC7plA+KXmmW64xAiXrEOiqiS1Z krAaOTltVEiFS3Rj86PscpilJLpdW5vPWH3RfO66hJOO2bROH2dHafF8eAGvMqBxQvKazzyu0OOp lNSTlzVYfM0mF4M+SnZvYwMs0mU4Osyqiz+NsKQyTht1cVP8oDP+aTi9lLBEpKV9KvQ8t+k2YoXQ m780W2PydytObrqJNEb7a3ZeEqaPSFoA4EH+w2ONpozaw80XuA53zHMg9ODudS8QoQ15zboRBz5O lW3yzxbmfTSRk+VgoS6D7uP14+IRzjeGlKsYSYlkvkxgNkZ5p7HSYfwRsWzQjPGdJMMT2Jr6j7p9 VELCFLHFAIKZbU09tMtGCpHiCkqMtxvVD1fJTMXxAcsaJOJR5+1PryeDJbDqhyfFK5DNxQTF48Ff PVHP1jtxTjQQ95mkyEO5TvppTEtQtFLPHPTGt3qjED2v44+kCquw93Bln7Hs29cExEVy/AmIxf36 Vma96VKqGLaS9Hw5TNryB1iFj5lzWudirBZkUGuMN5dB5hqTG38epeh96y2mUlFCrzsiqZOXFq6u x8NgRy3+qTLHjnVl//RV00Ebl1FE+JCXYQSruFPQ2cpOqpgYTRBJ7iyTzk27u2jiwNAo9M8Zi53k DUmtHyiRkOsvaVDbJ7h6N2k5xoOka+AF3fYm0FP9jU550Y1qpzbEJtGEM2g1rZB2yg3/6J3Ki/JP +1ayg+XnvWmZPIuU6ad1432YXfXbCPyk+C23n8WqOxgIDHRVx/DB7dkaknp1aogDxk/3jsBwa4NH OrqrNjDZWQNqmvXfBzeNGnRCpbyWYslUUtFqleP+XhNBenleU+wA5sJdYFBNW3DRHeoP9tboj2xg 6a+1pJ7E4cQdj6qpabOq9YSYrnRuGM3bPkSbRLPXH9QnRA5oHZzLo5dvowMedBjF59l2OOP0G0RD ZuJb4eeGKRZ08w1Xfg6ctocxZX0Cd9+TUwiG444ZbrkwbX3kwkePUaNi8B/1rDDNVRuRCR26eF+z tCIS6xAWCWa+ew4f2R53lcmvWUTOKBXFJtljPdsSO0WoYDmssy0MTwsKvbubqiTWnddbYFfUsQRZ mX5TAjDU1SoVeKex8CuiyELChBTi9l+JV3+Aru2cWdtrOFMTRzfoGfUewDETgmJY9LdOVciHgCXM 4+mpv7cNU4XBADTiPlpPY+k5uNeWB8EXaVTF6mo4zNPxQrb8rWeqweK4SZ/AvLSJVnbgH/tCp7hY TJGmjKsvzAd44frr1BYzVcbG8CP8jBUbxGpDuXt9LSVnnd9oXD56GRMnbjsa0gzGH66aZ9nccOYB KJD7Jsbe09aSCX1guSjXK78Vjq9zPr/6ZoANWk5HZJGh9Z09iOn3W66dvQwEwUbR1a1pXcJ2utPA rMr6HXqZr/fUQK8dvVHtYkQTL1wCKFedgXAFGAyy7cc+plavpeCa9dFExBAdS5ynapXG8oxgjUEO NVy7iN4pLHcJYI9qLhB7XKWfT3J+eG+PlI+f/wORcBpo7AydT0fHm34iEBKnTUSRrY+IL2e0dajz dpfwG8b5oafMw6XB2Jythso/R/2q6hEA640f8NraEAd7nSNP81GcrHZVI/6MAmyqQgJL7tJoDJku 4UeVa/L5TYkE49Ko+59S/4ZAm+He1ct+KF7CH4R5L5J9zFBJ1YJe3LPqzLEdg2dNp49f2P2O0C3S 77YGL9/twXWJDl4B0S0rlxuQq8Y1QbpzEONYyOSsWGU7Y/Gzb/gqR9wA0LTOeefqXgSAI/Afbaxq 596xR40uIYSE/KT5NY1a0IoaRWRxCenmeXTfXI7N0yRByPLVVgLjkBa+pyIGc4bu44721n0U3tA0 u/oQV5BdE8/SF6w2jPTPXCI+ICdjngSFwJw0R3LQvvivzNgCxg1ZQD8Hvw1LMaegydklyzCKK1cL jXa7oFGNAHcvjBsNzuBBQgH1DKwZD0XqobDVE93IeCCHLyOJyEI14zHuOsx+zYN2XpqZhTOso/nw iD8FA4kZmh40pd4W3UNYUhYq5SIW83KZC8teIqRdqvuo6Mzqg7PC2snVznWyjRHJeKA6bKSqJ85I RjMAIqoFHx0sh4cnrBDSoOL0a4Gy89qaLOk1jd4v+eqMwHswWNNzHPPQKE1WsVMyhWKvByvKx2I3 G7hYQUH7CBls8Mhhr0Nsmjfgq+PaAMyR/kiWdp1FRtX08i0iHNbj0lnWQVvRUDsMonm67v0zFoRQ HuzXs3R2+la4e3NKMmP3sl7DoHP3MWdT0am88dXqsBUJXTHFhrgySYB9L0kBrNW2hwVtYTFBw5vf Lzq5BVi+Hnai6sbDvULXjSFJh00hq8kyOGr+ulrl6nE9YoUtGyHOWsovkV0VvRvy95WdVA/iAnp2 UqlD3Oj2egdMmnYtlvf4ZX5jYFu94w4JyM/Ff6l9waE5zcU77EY7+9kshNh/KJ/gZTl7NX1qVBvT KDXbfPYAPxmtOOyCTrh7h3w50KySSGWW01oDZR+CzadDYndMLJhKIwUPzW5r6ws9k8crXP7Pe0L3 5ZAzOxsgmWyuUdfFm4nz+HiZb3Xt2arL7BNbmPuoaTq9S+5wv4jjiuTMA/gavyY02REN1jB6tx8/ DXjsddoHXmaM+4mftuzGLXsmphfaT3MnheEcXhXpL01WsslLvXT1RhgAaa5oqxz1D+xGUjRCaq4t nJ3KB1pyCvOqlS2MxWjuhsxM4e7yXPqe7Q+Hn0ASs2jHUFiTtnrSao/jxmQonGFGUqh3yxsEPC9y 7FSZ+szLZx7ctJpdjg+G55eW2bVSBly2OWzLdn8O/C6MjZhV/9pM1cdcjAmzEAn9WzC25Hev1vyX XA6PTvxBj3phNELmusmOzg+x+K8HviIziT6tBXOmcXgg+1bZmtTd6dGmyYFL8KaOxnbJydVSlVr/ GCGa3kDyT+MvbUTLlLVtRK+eCCnmvFDLKmLA/QvOgo4PmZ2S9ydjL6sKH6vxwt2bf6lq8ZgorQLp RZiRg7MAmD1fFBegYadAsUES+3a0DwJNpDH/m/adaMecEIHbfAIhPdecP/3WF8/uFqvIMcWr5O22 69pGBUr+hBXXeUPpnauF1CRa6aA2uiQsCU2F8dNW/gcQB1PxyZX79fpqRz7UCcxXZ6GNzVwFSN0x 1tY2CXTdXtxghmrlT9GAh6QlHEFT+ZYlwYDgLxEWy7AXb6GS0UiZ/7ve+w9Ue0c2g43VHBbgrB7I G/C9eD54QLSGKXupW/SVmzZb6mG+EZTKMA6VpYd8LtnxVF0kEWgYxXdgCqzfZnMiRwQzIxhOSRhW lDt03E8DNB3kc3VnlzDCIL/1JfRKPhjOchsGuUTuTR67OlJSrRnLGEPup13M1YbDtcOiGjzgnltW 3eaEvdfyFh4L0XEAhNfHCCPRzh+IS2jOec5ChG5bEo8SptKt2Ul4PHGVcz6lTp61nB7l5J+0kP8q K7oJq2+DAk3V9etURrZgrNdEiiY4/zUUU8WvO5Liqty7XEu1uAGSlhxpSpF27SCro+n4PhlotS8A tfUfCWfknUZ7hAs8MMrzacR1TlgOfqHMoeGo4QSg3WvctYdjRbLVSzlTxFLeLIOtj0WcoIuQhSi/ ee1sw96wfStNdwFHhreULvzscsW+0t5KN86g1a3S5T7JBSp0nfAo5Ia4sBymDjm5npNBn0kPBisH 9e+sYwVFLZTp+DzlaBDyP3U6vDyzpsCN6R7EfMWOHLi3NWQHrX2EmrHum8C8sQPbaVigCVIYmuW6 C39A2zQELJHzWedY3pF+DirtmT4UzOWxIahfwi3tvqXVS+XXrhO/yAXs1YqtQnhPu/eiMgakcJDB OIPNAjGFRtjrGqbj9OTIBmcgdL4atidrX6AmmlCqQsXIVq5PjpHvGl7SeTI7yPDH3AfToEWEkceY go2GhUUQpXzWCN1sHj89Yomly3kokMldS03cmidKrg1pQcAzDHPeKK3rro//P66TVvA9MCzTbewZ UvpzPwFZED6vqYFHhEWRooAvNCg+puaSNEO1i97XQtwBj3ZEL3/WhcxG2QiTJuLSQTnohRilp2NJ sIvqndvKZIW0n9BzuKzKIGHwUWy0VRfnzOw7Y5o5b4qiwLqspSI8D14sKmdkIu+c8Yj7mIDeTfIF TCR0+iJ+b//BOqxoJQNnhMLe1jBLbFenR2BeXI3YiPXM3CrlSs6L+8B+DbKmNCcS15F8SjkRhSr9 f6P+QFJZlSMgfecAzxBb+xFXm6hhhEVFuDlNJ4q6WIro8K79UVVfh6pgdHGQ8xXg+xostpXzBSwz bAZth2ExJQ3KzVwiReFeldHARUiqP8OnWh/YSrAscBLiWGfEV+/Y5zeRe/ZgqCQaGXEL0+d16Kvh B2nEudGGoM409bPzbIiJ/zYeZwxVvRVquVr2Uqrt6J1C0kGMnnQugroyBjBRjpGC1Nqe/b5BlUBt 3wViymmdqOM0U9UitrCpQqs17APt2wWg8N6NKzEWrIup7zKNeP7R+q0p+4vfBRbibw9P69Kdcxwq YfEoI8rEQnT4xlaT+1BoAyuuqAbo6vx9J+uBqDaDnB5g0TNXqtt4Nmi3v4qh8x1VvTo4hR8GAIXt ByrVhO8sOYne43fNamCpnBTt9pJY3HCpWCYfzaFRshqdXzOqAF1H4ZHE6N/luld40Fds6xme0ec4 7v9DwQ3fzV2qnWKAP3c3xb+ro5IMRRug6tiz+N9O3DKingwbrB7lBB6KIGGuGQ2RZ0klM7ZtNNpK qKkVI8c5XR5zP/hVCs6BNwic0Em890WnNjD0lp9udFLz6o63SgSC/8AF1LaN92HP9w/KH8CIt0ES mC4sR2eEx52cezJEAvNdSXICjSfVjS8WCNPQvwQz2BB0BtZuNh0LFPum+NETVsyzmC0ISt1FJI96 o2r6+Xp1fEVIwBs5IZKXDKwjoDVsPndWhvaBR7CSIndZ4MbE/s5NIc8aZl+TbW+e1GxMYMdqzaz/ VWe5+qw3QsV+9W7i9NqqBjU7aNEv42ygQK2AtsNw25voSqvjm6rGKebm33LqDT+qGwauVssAI2VX JYtcN2HH0KQWoDDLagABGLOMpK+fl7yAgABZdISWoxru0OpSMCvTw2+u24yNam6+5PeSc+Cc+G1C tRm1ZxEq7WSwZ4+8/lAfQwBdEoM7IfeE9wR70aFc3ghpSg/Wgx6fc2cg4lg0RHAzzSFQ82Y/eRze K699BeWvKDAJDF0VzTmppTDrLo1cvbRW5LrCLFhvBTUnSNa/LsWXgVTcW9NSr45FLSF5uU6PrdQR F44CF82J5B1qjMFz4Ey2hTgzipUHTdC33yFn7pJ8Vx1Lal527jtIJm/epL99N5ZwE4DN9MbtoDLd vQ3e4iT+cKJOsZxzjBl3hDvkzUW//a0R6msGRCs1ygsK+N25sjKju7buxB5FZooIM2qRE9NF1pFW h1/kYGbfoAT15ZrJxqA7w4/cfdyUEdww6CBW1TDvJZIQWmRCcwI/cn1EBrqK51oHbcxqZlDlYHJA zjku+SYyvAjfWXI5s8JS6QIA9hsjWpuF4fQBMjCV9tB5jLtGJUrRRYKbde9e4NQZc21EdZIMAlNe Zj7/8gUUvMLMTl0CmBVwALtqXV0EKuNlZ7wWezjxKr5Qd6oDxo/iyA2F7CUGk/Uun/nAf3+fXIdD Ans28f2MYmtRRvfA8S5TA9z0T5thruVC/VN0ak7MldRj0kRKRygbkL+WBv+S0sbf+5Y/e9e0KzOA 4aDblcw3alEir3GORhiJYlrgpObsG57lILZdfYKEr2xkbedVck5/s09Xbdg7BbnLt7s+aR8NKDtL XS/O/brfZZzFxLi46XFjuo9227to6xXJzOHxfSBkqmREMgnnDwbvOQ9dq8PCbrn1hWz6Om9V99iH /9bi7oaKqfJfnxrfKYcD+wMn3gUJS3nMYmv86flMDRSn6b5ufpyfDop4RI1WrlCc7TvafQYtqq6P n0QRR8hkEqFoCbxJM/QauqOyhGO/asN/wrLNNREPJddytYe1NM5+spXa+a8aV6BkwzH9ErE9Mdz+ NoakEfOXJr9LmCj7ZYHN9fDLyKCB+nKa+XIMvWF4q+lk4Y5e3D2/F3/bgwyKw1DC7JNFO7OzVZNK f4J4f81f9HPvDVjKTl7KO8/JqHR+oNs48YtSNSL+LGspPAFUjiEjD+1LrY1eeBxqRz4sDt/mPZKU wnaPIG9MOOVPvu37EazlPWuTngvDpDB692rqvFXNcFnsgoPZo6fZYeM5W85TNSDKy2v8YN1tF2XU oR0eqbVg4FHGckYjuS0uvmVwgmv1ms20+zYjBudEEReV5y9/NfEc44TfCYFcXvX3SIPbeLY19vuA cnTEq3VdPO5MyUlRbdIaAZP7tbdM+FdQcngS1cpEW/GJfdUxMOQ7HcvPHfIW4r2faPi/WJdV+zh7 BtJQz8msPb5lCJAb8iIDkcaO+H07X2RwGecQ3lJeq6RRFC0n4kw18pysYCkUHQVZkYc1AQFElXh/ 8XRkSiiBFE66JfhWWDtThiEH1ZyAVz/epMpgFP2JcqeNv8pm9aWySYkUQb9rZPAkkCegTlsokIo3 lqr6BLW9iEFVZDthJpNbTFOlqPo9hxLpZwLPmERJiZRAAIRVk8NJh1VbB+lPbgR21pLjz55ehjRB UcdVqyLpmkf251ybHqyoENRnds9FW7YVxdxlCqwWEErZmhw9KAP8ANY2u0FtNuRND2vvoFe+P94v 9IfsVomMlXmwbO77p6UUCeMf+D0/61Ug5892niHUKCwGCO1TR0dXr7EesyMM3zT9O43Ei7Z4g88u PI16xcEInuLxg/pXUNvwDG+mkD38bZgINTvo36kwG0HBgXerSwVOGu/GOBFtoNEdns80/Xs7iMJK hNeNTt+ZFXC3M9hDyZXSNj0p/8h0cRXm8qfUZnJkEhTy93AIDlS+AKljZQYB9NNPsMAa0Hyw/3cs XEO0/5s2ItydJyXIEbpba+kN+l7GTb/QRiklddYNs5+TLhjiLMJ4lIlxDVAeCa9amn2VvPb+zE8M FU8VzWvuxjbJqMHF5AGwgD6+EnDntp6nAwfx1T+Md5TTTWgu5Bd6ZIKd9iSPyXeRprH37ZxVtnDt hB0ZQTBcIrxgCgcpkhGDlt4d3u5O3J1nK4OEJV7XIqM/IQ3QVHQR6HsNCxarv9NfClYMJFt7CIIX 2oOxgj04bLIpgUKU8uNy1wGedvHucP5VZcWmIbqJnt4aBQmLBSS5t/4N6M2YhWPr1HOQPEJqWixu hurJtx+FWYYhSTBDePzRFXIOmvVTRhfCfIanpbKirR3Rb31WW/PbnBPdZdnWO8Kx+CbbMp8570TJ dNeL2Yc/sXH+SVwBvAo7Vb86EhfubmcmbDEAnWI28ExQgSGQBA1DmCpSX64RC+EZVCX+et3GpS3s VReI9swS2OCWTfY9z/TWsXHk20YK2ZdEoaj8Omw3aNwrZ6BZoLDei5EH8eC4cgBxVR8avqT2RcZ9 iIvCfSYoTpOoMKuEUy6ZP4odWNE7Xmtd5oK1azzR4SfgtSAftdLe6yH4ff1GxUjKcdh5VTW71YjM /mMTC0YcRC0wwWLXicmJU9ZI2ex6ou2sdoprGNTYeMSVrTQKIBw1hHQjV74iMSmBSdLYXfidNYUa Ezouap/rbPZ4LnrZkWIGFuC/4rbeNRWaxW6d69WQQuEMgSKe41x+LTtYkiz1udm32WhkNkHzRJxO 2TZTRDOcz5iAsZYM9Y2wpM2+dOe59ifIUtZJ4WY7MUYXTwZynEpRzkjDpkPtJ1AatzQTiAday3Yn I9/+3rfSBpBADhIgMbtYGLtlCVvlv9AZEr+9UKbJe4WqGtDcY1hJ1YsWDZ019jYNDdbiptqvZL6U DVWnrLagmHmDrJjrIIsabuUaHf2oUjv/mJXCClG8K66jTp+U70JZcdlCXI6IzQz4ABtS/x1mKvSQ v2NrqeBRE/pRgoO5SwIFys4iWDzWeIJ+kkBojLh/zrYh9AwU/mYRZzBb9c5XCpbhhlpYQi02RYc3 nRya/BCQYIP0Ct07/DRi7ktSRI3ldmNUrMOjIQnwaR9Y9m/TlTwj5Cr17rW87jWE/BtzNRrEuFPB 5pNvk3iUX2dBLdDIrJFep/Wz63wMoFyc78tUdMLsAxs48PLt6Z+qQQiOMXLHj/Mqh9YRQXufGRaE MPX9Hp7TafFReLyucXljBeXOncqNpz9G0XkMS+NDyh2fJQL7vxaO2DrNxEz09BOFos/is5C8bjW3 mleqslkwvcl98toTt9gkfZ5M4SZXjKrMbD6FGingXV6qqMp0ir/F91gGj01NgYXQqYo4DJUXzSTb VYSSN+A7xk9QzPTJ6uxJtU6nbwiqSaBjvX/gvexW/q3BKXKVDeUSNKIVTkVvDgR/mBUT3TjQVWp+ 2Il2VYwjfDoWo3+IlXB4TzASs15bPjOE8ZHPQr/Vhj0dViDP2/njmEIQ5KNSytZy+VShSYToksG4 AMFiJv2g8G+2sNjaVLq8+OZDTlSRrLQaTt9jUbFns/Cv6I+sdnjHQ3eNtaAR59QJIVC8wbOGletS 2newssthsB4soTyQipjKNlFO40hY86WdReJh7pCMLjf0jeK0fJb9ITSWjyeF537OYJr0aqJ4GiSO tUzTN/xuZF43C7qWh1ZcnYPpRmLziYuKcKEDi4P1hNxzHBt+AtCAJc+we9BFFg1Q7yrrjpntbmvo Wg+EfBn/oao/YvK7pe3zqkXHcYbU+BlDn9DifSLtQ/gqOpL3XEyj7MOXVraR93WqulLAiCIKbBFm vLqSW707EhWy0ZPsDel7rNg4SINIiILF8iv2XV/Blrha3CvyUZChAR2mzln2ZUeZOvdsZrz1lv2K 2JyLoCRu2WJCB4AvMCrHh1MVwIfXfsA48vh8RWA/VY8II/6DXiDyk7vGRVnxl6m5U0u+xemfHsCl w7ufI+dUyjBcfAyBTIK7SJ5M7O66s7cyvSwuZr4tFeEu/K0WZS4pqXqgp412jitdcjk3pcbZIvf9 koNs5acFm++6Or5pY6hBDPkW6unwN0mxPKiKZFD87ZIweoqp+Hq425ABIeBt+qBq1U3HZwY/lCbi ZuIdh69yhKj2j0DT/sRc31eT+0NYH7AnS5JBOcS5qbha4/a4kjzVyLApaY6y0Y7ECQDIx1zPkLVW 8/xru2a1JXnPpbElo2yo7Z9xwoR+GY3zWVuMMAUwrUlfQ1Y6+NFOPtDlAFOMf86Yzu87X0c5P8GX 1srDRZmEXKry66c8h8lXS4dH247X+TeO6nCox4C1mMUN+bjq/aJpQ4UHQrXmhXp7kwUGli9/flXd 1mF/lpHR0JUhdYGLsB8n5OgBcogDbqzZgHEbPCtLaQOf+Kqfrl0js3H5v/oA0yR5Z6Pfd+0azfPb 37QetyDASSp3ruD1uTvy9AgWJLjjmhHQLIBwbEqrtt3MZIsw+VSNSK+GxAGhTJpDAdCQ1Xx0eAbf OzvJiwjTGLkzwEjjBolsFvTzUCHPqrxlJGONet0IFPHAH826iFHLN44TFqceYKUQjyOOT2aLnHRK Co1hEWTAfsdYgbKkgAR13pWlc4qD9lscuSHgDGHQ63hQHgwAjVOUaeQwv3FN9RvNV1qajo9DOLlY v4Pwf7cdaQHDQAB97EeXhIHI3OgeJEnjJ549VQ+Adx0rEI8gSME2nn8wXtttcwhPQuFO2Y7Q4y5x 31vWyz5WtZ1uTBFGBgAIAlAzwGtK0Df5QtJHIVzRj4bDY9E9Q5qVefrhLCc4mSduqruXJMEiDlXk eoctRmH5dte8FEOcN2UrQ3Rb293fRx0McLHlTiR+SgpCZ6eqGNOizXkrvqntaVeIZTTLkT1z6c1w 46vzBXhW8vOHLMmiAItpk33dbqCz82EtM6aUhCgdgmrCmsb5THyulzLmseNrbuCqAxX3NABmaLRH 49qXHwt9eMFowdhglmfynhAEXxFWGEEhllV8G7eWGpyYYd0gR8XCqjM9Te219DhKuBnmkt26a4QS /2P62BS+b+u53EyVPMM0n2z8LbT2rIpggI+1ZLk64NTsz/gZeB1OiPX6DHchobSLEI/qZ7pOGTDe vX/FQfacMfdvZlVqIVaORJ4VXf296xUqu2oUP3S9Ffz1+j+7loEs/n8EYEMvJgOGAftMAf6YKQZv Hygl8dOM9FMG5eLN7UaZXFZBusnn+pGUKIEmRWeLGB67feciLwAzBN28Q9LwwUBNw/0qVGLF0+3D 0i5TZS3fiwlFrWU7rILXHJQOBl0pxraQt/p7y4OYhjTNL7iISSnu0cABvD5ufD52qkyO0Xn/N/sH Y4IdnpAfAxEmphjKvMEmYINqfKry+0Mng6YeCQlmTRxR8txW6EpqP+5j56QE//fxfLiQ6YqBX647 y7amIA/DHSOha94LQQcgN0aelIWQkoWztxr6NswdVyffR5dQbNEBCgARYforktwO1SiuuA7PDm+f LDOYxbAEh6wEdenHXSEO4dAmw6vri76EbO+/4ush1Bk+nMESN+V5XsEhkhY9oi9uX1iDwc+lB8dB 9tZyPhALcmvYQIoHWZxsdMZ+AqGFH0EuQ9n8VOa1JEKYlmUJTBcv59feAJxLR21hWxRzjkcAOpJi cEri75P8U7cNEDKGWXlb8/lyyN34Mc9XpoLYoeUnCeDjVs1Z31f8mEZi8R8n7lac5eyIXSgas1Iz 3MhEgbwGODZ3zbFxY0ev7Y88xnIGIuN9FSfSG7JJDxMliZCsNzLc9ok+oyOYpdVHoZsxeMSjG8ZZ z3NDgNVqU1XEJHF0oy/AJBke/T9pisRH7BIiDn7f1rhjzSLH0iyA0mcOriF+dZQ+ZGrrUgYZbt0+ 8Kaq/et9BXmxN1fSzirawW7MfhYsKqKvjP/tnS3xk8kvmszRGV0j7er4LB1F6+PHU89feVP5sQ3l Bt0a1XK50j+NtJbwgkU5Dwlu192CYv6Vm0W1h9izJoEKozskyJB/G1vYsEecwPAI/vnsK4dRF03D YN00YxdeW8DzXwTOA+VqwtxmzNHHp+u58dX+wSjt0/aAX21Jm9ZqT0Wqpc6+5zgLEt0wiR2ZZ0hQ lPPrvte7NyTY1etbz6+NkEeL9E8hwW5RN3rO3MQY/BSDWQNbcjo7LUSfq1acLbva/LVA3LGKxeko P0dsv7pR3Y8YgQW28jdgE3Uz6AQsrlwZtVWn7hLXIOOfsusVPylZYkpO4bW89AyAtdX8M9IyROoS vLo+fGyrpDz2cYZItkQR9sWabE/IwfvBRDIVhNFpmv25inJgI6mWgKmj6tNM4dtY9/8aLf5ncytb EGFUgnRtii4bgP5ksnod530cESWbPTeC7+uXqgQoMvXg8BU+1xZMwg/O0irhIVl7yz7t6oXFO4Yi 2e3NrEbvQqPe4W9vGJErkdxZuv3vfCvC0Bij7G9SMeLj/m7udB8Jeayy71bX+Iw9+mPgrD3IzoCh 34j+iCnPTmpT6V4Nodh6OaK95W2mcrIOG4UTOaai0EH1/kpPc+ge+GUO+2V1ehJc9nVhDLjlDK+H dZ/yQ5DayIAr0qnwAMk1ikDD+Ji6zBo8G/KJZTq5zhlp8ky5s5Us1dYgYrtr2V0AGhXiKmoH87+T 08kUYUCqtAq37Y5BpvhanVLZ49MqyctKYrE7X7QTlYu4F5vsS3dSVIjSrzZaebxu95vE2Y+8apdQ MDwTaPH0TdKYQ3L9KSBv/E2x7EKTh98MP/V1fmvfFeEPdDtXyqhKb7bLnn2VwWMYQjN7UapUjU1f nMS/ofOyawd+oZ09gINwblRpigw5eWABE9EgEpnYinIuSNaBTS0VAL4sdC4nhe+H+4FOqJw1nsIq m91/eeW1T7x0RkezLWYyPDY7tzugS1y0Ommv7z2mj2NvPdNg04knspA4AzxLFKIeSDWIEQJvyVx6 QDcaId9ek1fOVUQnAid6+c6vFI9tuTudfAwjxszu+jajC6g8z1uCNOyCkotqQmlww9Qr6OpHsi/v NSF6pGiwRaFepBQjLdue24+7pRSG8URyM+AI2T6fWfjb0zn7UcLjvxREQhS1UT3eqotnzYU7GIZ8 DtByIGt8ln74UVY4U+WZf8VnUWYsITcKMnDZmVSwulaP1NvFFpKHhxy6tfcdOJxYpgATnMKF6OEf HGp6dDIGDH/AF0RltV3wv9+CDRiB9pzhcSWHhcFG/GPXakwMPOw/L219ytA/ZCZ8ZF/c4vDWkGam RK7eiswR2xmJPbLFkvaHWEX9k2YHJ4mSDISGYlQ+K7SiC4eQDrJ5EXh+gXweyEqwtt+n9Dp/iaF9 x8MycVF5FzhXhF/7c2DDxtkSZAac5atHTYcCAr386L5OizXyFwdGhf26/VhJczu/wUpY1UsvJzry QbHaqSSBMAkLrkLxowXip89L/Qx3WJCr/isNqIWKW9j9cUlLZt60YB+Eq70PClWprgNLSImNvBDr IfrIHd5QLohy01LRkotEGtCZFr57Q57Mw2lX/nULL7Nm18jEPWm1HeQWI8Gqn4mu4nJ1DvnGzDfj vOdP8ITzmvqMFGzzMyh8whlK/yD8mbRHFsbIUCL7vmyt5Phzverum6JVqY4PM0txW7NXA0blfJ4g H/3H9Z2de36ThUJBG7lzOWaj1TcyAT0NHY8/FXM/B5ueeO6bIgTXyLK3Ku4mNiXGsKor33kxL3Ix szcE6Ut1CChyfFl/krY3+45flC6SmrE21+ja3UDymPzsEHlx9WMvnQ/7/UKvb9vms9ML8LSMZDLh tGc/QDYU/a9Suf0DMu9gMVJ2cAA1IkuWvBHM8JEl+4rUGcdCmVoodZu9cj5lfykzC/nb8hDanrJq I6+MjwqcrHPUyFqX/9O5UKkgk6PxMHrWh87FeW/7esdZbM/J2MnZhvkwbFgNfT0XSMGOD3fPvc1v o6gkrdUJcStFjC8EovJubHSwJIrOTGPTWk/GhP/kIYmsL09PbBu67/javpeW0OktjRKk0WVGNK4f bMbdPjIEFtFZckQz0k1wODZXMjG6PHaxIh2emjy/qFlS/3F5Qoa/43A0L/Wp1LeiGcaw5OGZX2fk dbfUQI+kGF0c+r9zyKLPvhaAmCS3hs3a+lxOijwjTXdsYxYUBPq5BKm6m8di0Q9CF5OtjNCkwPmP ewvqgJVNsoP2E2dcTNxeXPZ3icv6lF5ALz9xwbBVAxYZnn/25mFXKV31NXWxfKLj0j1myZ3pFxCM UUcw5Ilx0BONOOPk51tzDHWRmA39P9j7pOJGopGH/aWleaRk36FxhkbngW5vgAJzcst5OSY9KzTL J129tfkD9DYbtzNtCXelqJegBezbljahagbDPQVU4AajKO/6yCuhclwxpoRbVWLoX6DjLZPnWUKo nUnXDkCy98jymufuKKKZEUypyYGPntYmPOpK5MHzdudIntRA50vVi5zkXbLwGbPLPHCdan0nBsgc rZ08RZA9xrqfHMmsxh9+1LLaoMg5YMQpVFU4KQ8d93+Lypdv0kBYe8rphMuKJZwUJSAFe+5hYy3z HHJZ65cvYV8489+nRSNEbcnNOSQPNH784A38r0M+whg/AIAioZfLzkj9CnL+tzHpl7YVgRMPbj43 P+oxQDhVRln7yNG2GR9n60NCV2cQYZTMsUjfx8VpYyTegW+O4bizCAXj8Swltgf9wkUQSIhTURkI z9bPKJeMvEDHcUGKAuI86+eiWsgTnI3IUcYDqZEbuvzC5DUu2VLVGPcJQ20frqY1JVrSJkyuwD/V 35qoTsVjLml1bPs2aq+pD1Jc8ReiLS4wF/C7599Ra/6O9iU3E/Yvz2oGYJ565TbjVpq7LIacLbEt D3TEY+8oYNkl9EjaDUb3cKjR+gY7RbMF9jO8SMoZpQ9yQTRUJyWJmka7g6RloNjS1EW6Msc3yUGU hPKQYrZz6180WOoYdc70WpDp1q6BIjvazF6Lub0wLElLLL0pHo+aMsBGFUuGRfy0G1rBVPJFptPx AITaPg5NZyJrXEaDqw3J7PycaDpCwV/brv7C9CiHp+x3zPRikSs/8+dyhDqHO5tKZgmGgh2jvncN KnvT4nJ9IIZxUqdsslBnPEoNqOU+PdzpS3Yh+TAtPJdjgkQNmx/ztLZxhhsTkANAdh6y9ou/cXPR XMz+hn9PYN3HaYtUlA0+9bUrp0j3/ldPNkBTMkkHVmKgDx7O1Nv6zEsGFn15lCy2q1PkECz32YHL ZbAj9E9m0ODSqiEkb7x+e8is40KLzAHL4Hp3ZBnDHUq4Mdo7xyoOHgmW2od9byg/zIQ9KdodE7nR /syxYGFk4zqueV5Jgg+gasDBmsvgoCnyNRiiDmSY8ok68lNoN2WNJt4X27j7yj8v7YakSI3QrT9O fyWFP6Otz4Xh5cmHIGaQaDB8v4xWjy9Ytnsav227ETCqSWylw/i3KixyFHN7BqRjKlB1sKnb0j/+ h2L85OgCJ+vPP/lZ/t8chgfHdGULB/ZRFSDJvJMkIQb2qq5PpAlA6qiv8zPHPaUQaFcbntCY39Io 2PGJmnSFDBOyXlOog/5nT7BuyJ8MQqNXvPJ017QHtp8ccpHVlktgW3aTnCyuKEvMOZrqtLnupQ5f eei8t0Pvv30k8arjTxyzd+dVKJ1Efvqa2uPhvXOGv70SURUBt9uizwctxplPMptP8aw9jKU0pj0q lkw1kO0iHRHx1hH1VKFesxuNhcuI1FYGPqjWMeMF1gk2kYLnaihftAzp7MMIraAU87qEzGxFXtL4 H6P6Nm0VHzF1K/sAsI3jSsdbOAlr86ZenxvBNjUb8oQPC6TNad7Fv2NqciqJWmgaBQ2AlKGsWLGF A3TioRCfAp8F2YYkJmvRpXADiD45O1tbqe9SOdrML+6gye01783Ilw5Zi8DRv67iT62Wvd2pvUU6 NcxVSQcbC4sBz1zDWzjTOrrdMtWNknRSqNNYguzj7CbaT6tAQaLJcHTf4oZJlXVdIYXrTvG2Cwme t5eS6PMjssqbKOhOq92mX/4kIAEn7pTZul6NzgC19pI5wkjQ3gIKBDWrr9eUF4tZlNFaqDko7ipj sBzV4O2CkUdk/zgDBx5hIXW5Z17Nltv+oTQox/954/3dvOzkPkhiLBxTOSxnzwp86xUBUNYMI9mS OuCYu2t1KkPGLuQOfPtROGm75AMAhsh0yQf1qy4PTJW+YUeRgx52/AXQqurqWLSmB5utVrL7nBNw rfN9TyLR6FiaqBsgiQ5PSIXS93plXkheqGfWUIi/Qo2tYdwANB18lgxmb0rzeRAHH6WdmEVZ/bDT nrdgPKLMlES2vd0xcceN0Sh8Un1L1840snSsijPZcflv4vME5tduSm3NT8+wpIwuef6XmdmV1SGl oSa9K2/3E1dHRsYQk7PJ+0pucRBX4SC59xLrc8yDe73iIgeH452xAVAkQKrwjd4LjyVwBvf7WpYn Sa+zTclutvyNX+2ueWTAhwJ1+GtoLMHv4iG8Clb+mY+VmlGV01Hx5XHOU+9gonLYVBU4yZ4dICeo WI8gdfwjCfFYQk+cQB9bgarGIrmvxVcqCyZJ7VP+sTfSZbca2z4hfZhJS2/HIwo4CWVLL6KilSzI os0szTpQ3to4LnSb9hnPKb2WTTHXkRKVVWP+8To8TaYy1bX3AEsh8BfC5jLMU63JjQSDYDHpx62d +sEXlQzVrZ1SjEznXEOMt+v7SAr8nOHnkDCRBBIaAE5g/yLhkzu4QKlr0XaTPrhIt5S4c7Ob0OUJ Zu/ne/ZjZOxzMRyvekbMCnHLoyyDDFyMLMaQIYPhIyqxmb5qxtZrsQFka+X2U1abbhxwvutnLxJL OIZ1u/srHEwtCk4fBJ6qfGcsHK6WvZeRvK0DBZEPLSagFTZGznkkQfPcpTn3HeZqwD3jvUyvChmp odie7I8l/UcZ12SnMuZ01DjIYYfK70EjwjhEV/pg2Hz3+gPFvCjZAU61PQ/tJvHJsWo7L1YNceK4 ujju65SyoXr+WYuxGNJZgA07ro3FQLHuuVcbo5R6xnxbaQEMwKbTjrJL25BbK70jTDHzKjHxd2xK ns9RMgtUSzn3+h6FPIcOA21VHoJnwGvj29C6x/0l8QgkVZucepyEIG5yB6vMFVAX9fVrj9zneIsO PWGWd6FbS0lYvsbixhJlhvGbGs8aBhR6uNMGzwIM26zKnJz0ln4eUpb/0H0Mkw4l4PP68HjE4eDz VDonwgwcpaCcVMeBAxfwJaz3vp+3iseTyTRgJe5vAQxSk3NIp+fiIZdH7lXaxsTLWUoknAagJq3B QBvaRLxDGXs10CS5TXIYgh/MfKU8ndJuR61M+aK4W55njyVIoADuoEA+FwgUhTS/TXqe+l2bjqVi Qa3tEIf4bLnGFw4kKS88z53aUK4Xbm9At8PwFGgMB26uBswJVsBGHGEox2cGirzwDlejdNvqF5y7 MqwhcId2U8wqpJk62W4+3drZo+8X3r+RUUXxuOFsuCx+Uij0y+eMoCSLTcLPmgJC5szeTEUSKL2G 5p8jNBC50ulzIoOBsZtz/xsXRGiWW2wTpzfBcCVaYZ333JJftkzJ/vR+CWBPYkrBfV4sJypQB3tH ErWJb/UC7kdm3wlYZ6dZuTf+OZjUuGmnsfM9tfqurFkvIyW/vXbgLNocdEsmCTQm+QZvvwkU05en BOCPB27f98tWbA9ZvBrr0TfEeEmA+Je67mggMdA53H8UdVULG0fITFdd741r7/md28ZLjmQb9/8R KW09pQcB283bV4fTt1nCOhNEEAqYGgfvN8fZ45hzredrg41GKEmCYWFdjh2QT+XkSTRGmSyPLUEp rTEokKidp/gyOCg91C1BnAjHuZ73RdhiH0WOcgDjecSk2zdczykBiMkuQHQX52E8HhWsaLl04o8B ckxCA8QF3v4ppWMYvNljURr4tMfXv7jctEo9XpQXJml37OMy+6FNlpc6yU0zZc61C03PuGmcattM TIIj+spaI453mPRC5fioykPrBVH2ndh8LaFtgevvVTKGIFO7FM+J76jnfIBANSG9EAbZz84n0Ymn esXoCp5U4ogkYliZUlXpU/+5evTPaC1zUKko1PVVO5VCYLoSATYvHGZzHGWlPO4xBYwgGqdgJ13Y anN7iIoN9RWITopU6chGG0a2damwbonnZOTa09j+ch/dmaShgiftwu7u0MXXEZjHShLH3dDpVi7W zGG37BGy12Sr3ZPK4GluL94UyqGaaYTPcbCoDvHyn31tmt2OoeMlRT739VqRPc1MjjXVegBYMtjs EpdpwGo8xTa2mf/9/pEO/E4p7LZAIM5g18Jq3RR35HXyrBcLbNHG4gB4/cbXC4DQGq6daunZM9zV nbothDqk7kwAJwMft57u5/jQCnsLePcqujOr0C7suVzRVJ8zHUnAvKaBbjQY0NTcqaMY43gZZH7g eeSHi0xbTorZtD1gD3lqYWwK3bwBrGl6PnnWfQbWKyvXTOWYVyS5dGng9kox+L8JlLEMFKjkxap7 Iw2Af3mZ7r9c5GSjT8xBANzA8nYvyn+52e73cRGDI23IOU0KFjJ82ruD0qiJPIMCdL06qC5NtII7 oSUppfPjt1NGvewZPUnj/pEcI5AFs/Qi9tVQ1G0Ak6NMek4WLfSl7AtaPfudPqKcc0EJq33zspxu PRbfzD15DkTpXCl5ZG6PKMkzOSRT2Ea42JG7+mRn7ZA2wYjdrJToIqFCEzpuSUWXPknDtt/OTmiT 4yalFVUaKwidNWhVoKIwA6YqVp43OzrQcjryg+/KrCRfib/5YICS1iPH4LHcsBXwCRuD5jvcx1Us aRi19AG0JpSuVKhiFublcuKWHMVXE3Q0rndDxBjdC2/ISvnQrmTNHUin3dLkDyVVu0giFjkFFK1u jeJzRxB/tJBKt1myWhwohKGQOZ2rsFK7d/iQDfDV9OMIn6qTPdTXYsLNRAXhEiUlQqZIXQRVJaUn lYwfNACRy0iUPBN9kMru2egq/6bsD36zNvMuO8+Hrx4IinMM+5wnBtJ8mt3YIM37uWgEcKMrZ/So P1nPlkxztNw11kTjWzrpkioB8BVegN4J69n95p7RuvGFFbKVKFRWK87NggbukKtsTecb9FIRlRTq BkEsYREVrfUEnaC2dFH3GGmSEi8G5CSGulMPbmw1gtqDgDOsLLcJ79ynCKsHLP0ofUBCrIspB5AU 4ll77Hxi89wbMNpm7H+xx9uzjMklviKqU5gZA+Ao/TSHKOIstBbrB9YuUTQncuaFF+qneFBB27hR ZXULvDK3pl3x/yaeyeal6ZWJZdb9rh+6GL+KCuDddjQqHk9lTlsN6aAX7D8h82MGaF0+WIRiugIw yAmxQ7t7w6YGGSD9oqdgnPCtEvmODGRyP28EqMcRnxlVVAoY7m6FyrMr56j5D9kyoZ19TAdqbUcS TphcnOstmyRDEC2pccELkWqQc1IDz+tlTLOsHG2KolepxKnKttrm3uB055GbQCqyxg6/2K40y2C/ aqFdtC1jJ2R2C14K53ykF5VSFInBAmn4vrzcGHlf1NBOhLgnmNTb497q0ZKmUR87MO20GBWXOPhj O8M2n3/5l3gCYzSet3R9yspf1OaCT9JCKYWA2iX6JgabcbIRTwWDtOB9qkKgEebK4JYuNnZHbL9+ eREUQmrvqXiLo6ECW+BWybBbJz1H49EvjUjJ4620X8Xs03i6QuFb/tM5YhPats+ZMLV6D5ty9FTW diupBlomlHn/hw/50Wroz+803Fzj5jsmGpjrynr0yZqYL2KUPjgrAGByAlJ7bwZG+0FjuVAb/4z0 7fLOIqeNOt9rfqFVKYFPGZOdMb/fmUAdTjIkxR1cviKfqnSCfDGPMLuwuOa/45RYQo5NSNtFQ/j0 P6KLvjg22HAt6SDf6euUDjFHQJqioEt/iYP/KsvQOfU/YDTclo3ddBU6k7GXAioWzVBM1vh0t2AJ GXPkmR0HvtyLxX0HqpSqgUcBQOTbJhVimujJCZ/dVf78xWSsbkHkmelTXBGlbk8y5dRdLsCfD76C /qh+5LOKQEIXj9LzpE2t7Q4UOU5lJJ/krSbUMpzMrdxpQaVrnGD55f6HZJmW1r7/HcCu+FMSRCBn BalOUDA309IDhsbYiSv7QJwsTsyAPIPxmHAcL3DP2Q81HL4EA5Xjp1xJmOTsM/CHLlWVzYONIT1H 79nswwYkWDMCHrQOt51k2TTOTNK+7ooHUDluOqfN/Z/Hv/1KQuJ2yfLzQ87Eu3NGrvBV0/5l75FP J5HUBa7JYdCjXERisJlKbGzk47J68+0MlsZz7EGZ90cMRcZQ1LWlKMYFrvbuiKBhJEx/u8mQYVlZ EbNvRJjFRDK8qL5Ts7ZVZLL4adN1Ll8C6SR1ffJ5aiMAoUkW/SoRJLKSFSGr/GS8DdVhmq2pisfg 9ZPtJPTlrlw7PMnPtzlABLX3ZyBDXEiaOmaocWSSoEwcUAc7AJZHwgKmXE5SJK7TeZ+Q3pryFQwX AZjXvgPu1Vn7PUQyGtd/XprVv/AlqhZg7S+cELiG8OlmrrUgI7EseipU8alMpsXTb1letdMS8NT7 OCV0zZLNkPjstzUqnhCOMYh+dUDXTBWJYvtTekpRvNKxGz9T72xZ67QuMpEnd5b92/A0Di9EBAlS AIS4RNn+3T4hGUDdeVTQ0+Dcn/esa294Ys2dAE8dMQI4FlQUfOxlI/J5+yW0EEeds8Rmo6wLBEoT G7yzB7heOtheH3N6Twa2RbWi0lpkjjWmVZN9uZCRQVjbFYhMZjrs/FEg605yIIqAevbBV2JaQBkd Y0kkVZJCm0RCGRDapgGdKTzbrpbqkmWs51A4f3kXeGoGQqBzB4kpUIbgI5vNdLQobuGngLkyhiVW lS+b4yPW1hZnqwhOhuzUQ+S2kuQ3GxUi4jOB5/N06/nC4FLMnctPpKJZZHIiZwcV5phaMJ5l3uTp HKWBiqVmG1c0gK+YAX/N9/cSiDIYAVCjwRqKzobGkIo1H2E6aWsR8OMzl02mwIPZQAjIlWDitryh mthyi9BbU6SganGOCFoRKdY8S96STM+T0+S8D3vGerQpkIAza6TGWc0+nljka9xDRvbxuZdD6/nz SgA2Yscl97RAdDBtHeJYYEIb4S+hpHvuBGVs8VhCeJuu/J/fxO5CTQoEfajWeA+aWJdp+knM293H I9OoFtcxs1FNkp4V33/kyfQi4Y+B30K7CQSF0U/5g9+Q5IHmR+J16EzDAzByFd7+qBXQYvAdUwzg DIxB5PvR0iCfg0bVbhs/zWL1JZ5gGw2/tt+wq9S52Ky+W3+j9fguMF5FLDslyFZuEP9ka7GDiQH9 lmxceIQ1cKQbKWOFbGQ6wrOzrQXWOTPEV505yktlX0IXmjg94t/ebUKj5ZVZU7V2lmjxnXfb3Qep 5cCVqO7pHTnx5EXfXO+YhPrjSB5Ygoo+rUEJN6cFamOUkr39AEhKhQ7Q1vdIvaavsuT5iasdUrXX J7gibOia5bexrjp5CBD46TS7OfjDGKqtHKrotq4RQmJCX15B1biorxgAvy9fK1rimzyLtjU/Z14h S0JfUjtK8CCXZOG4lVOT7OUKpyNkVh9yXJgGyMdweECNx5MO6xvAZDPUhdKZS2s02i4JLpNb6dSw Bn580qbSJml+A09ZVlMpQwVF1BtSWbZBuUo3DuznLTTBIO4TLWficr6BSDdx7zCj/bdX2DSQN8I6 gijiCgnSOqponprGzOKemQc8TZMHP9/ekKqtOOKfmHQy9jJ27i/hSrwY8rSWtNNZE8Dr4xLd0MW+ hPwfNzgZt9ua8GUXj5P7sbvliWRSA6FFS8qPB/+RrIuPQrIl7pg8ff6jli57GsS3u8ZtRnGFR7oz DJiZom9T1nhD/wR3FIaw3YWfaOPnXK/RzmqGzJYfpjJ6u1BQJBTfAT6paVnN1NQgrddX96dX8tC6 Z2oORWSysx8fzKmOBIZRMi2XMsXJ7+EIj95zxUlf8rNUcr09Nb08CYoFOOevWhKEC7Ejiod2bCYV PjO8XS6wp/DtnL0VV5w5Zk02FjqoIXqAlE1q8rNGeUtBntpyQWnPkDAh8CCH3sBVvcw0oAgaxIqM c//9VtZbjya5EFfN5NLDLFYXUdk9FGcfOai7M0VAfi3OuuLWhNcPJ1rx5QOee3grjxZayFkIP1Kg 8CLRiYxvXqpvlWGBOtyLOG+frMxYPFAeBPL6LApfIq/mBvZNAimkjjhLjPeAmSibS2FW/av+m/Lz Ly3+l56lfPtYQtSSVGcH6rqmy8+j0GX491tPme7aet2EC+sqK92ErsPE/16HqswXhNa1DuOmqcKD z3xwV5mJzanwkWIGKsS8eNfFBqi9ztRMZ7xIN3fnFtclC83XKFA2MP+Qlyu/R589C95j/NeaQePO ztsRY+FrtxD0eaqxNRgoxNsPBicnHQgaHLlMqByRCqm6pAgiguQdP3Z9Sv3N3l2Uo71SVmXINeOs Htj6EgCWdV5MYMzq5cA+Rqizj2LZKvARWOZek8p0rwRPjpJgVqZ2pw9tYdp7UsP3qru4aUbJhQix ooGR/xkLthTf+p1mxCoSL/xNRhX/q53mDr4ZKtrZO7BrsPWo2FBLnhe7ou0OmNWfwUZWmFX9omL8 +8ba6Ze43xWR130zgZ3GQyvXNtPxk+W/b34BdcXHXKZLUVL4GVVhvCgb0PXdbIznx1SlG6PXhKQy 7aeh5MR846+XYBWf4WZqI/sRbfchoT3HK7E+YpAuLRy364b6tHByB9DDYBv2nADO0j5Ro4LyjWZG BgFzALb9OkxHsu4TRTi7ULdatOccw0PopaoWeyP1XDBpQXaktBb6OF55F1bm/kb18uJgiyzvphUR zLA0OeGKddMrPTVniNbBI2gozAgkmHRd85Q74A/AjAJeYCnR2LZNOA8oLpIR+Y5M5beggH3foMtX 0tfpYeY9xF1kJoxb4AjjY+mKCGDG0aqIZe6b6imHYoNd/YeehZEi+car6k/MCmVkoCr0stTDp1OV 7Q/IHGHvQfFmQZE6eLF5gJ7Yv50hF4hl4tD2UBUQM9/riL7t6q+Gwqe1XMLDs7Ix4MjJtPr5S/V/ M81RiLSasFacDvI8e1gaFNNjqVDP9xUmC5Hw2sugLYRfZZIFMbwc46mzi/UrM4VOKMr8KJ7gS/pV ZmcgEox8fARaz2qGqY0ZFIsd5lMP+0TfWTg1N1MP3s7T9WkZDEDT/mtmEkOy/BX+nLcBkXOoDsNe nC47UhAvAJiD7ofwGddDOukpq3iL+C6pCgACrbwHwRokcH95HgX1olinbQ1izKPkTm9W8ITPnpFR wkz7+X87h2Q6WqhxLaE1WfhOMhd2jrKK9hqcWjczkb6guAXeNynvkswGw+x8/fioVIrEufYB7cpR Lzyoikt8leTek6UqpEXVwurCRRgirjAePMhjUG0oL97ORI8LjuLti83OpGStA7t+asZGvng7YBwf Fou4q5FmRsVQlPHk6yylPs/+yeOsmvAlbhJ3/8TBZf/qr3hXMfik+QJnBuGgXWqqafkI7h3XdG7o MRttiGekA1EwFO/ARGfqN73pNZAbomAVINsh1KgjGyu84xxDQ6h/uMuEuSSCVXALrlQhfLipGcos /usYaYCkzzVZ7KbdHymkcwLkA/eeMD/y0u9iFyZ3KgDzKf4tMsZA5gKYj99cxcotHV5Ri8czXNiP twgnKk/V9CajQqfD5uUu1cvIShudYzD17iVVZE1sh3LSnVBmLmFhmSckbMoVDIVyjklfuggi1mLu BcMlfYFPLSOdwT3NiK8PAds00nljy7rw5qoyOH130hn2LNlaUZUbxqPWz8HUqiUQUShEW/BEAy3k tFItyQ5XhRq2BN991KghnJfti/AmfwZnnjjGQLeIef5FLGLy9Adq5Z/rbD4/oKVOlD8EPDmYP1tD DQvtZVu3nuOOBbNFL/MT1Whox3AtA8iPnP/5Szy19+f0Jt5GBjadjjt2OY9Ojv/TflnDNN7pPYmp 2a2tw5ljrwd2zgZPcL0gUEEOGD/rAAi08UcRD5aqxK57QUColXQTzUmEOE+GnS2XRx52jm9xMxje IdPTy5Vc4vcu6NqIFsP0gHqto9UEDktN7wsaY62Xb2Z5VSKeGhaZU2RKTZAIk0tR3GcL/PS2CdZP qvo+Ji9BprAEBn98WLtyuI/8ke5e0hdErhVVKE7Fqe316k2wJKiJlZdVnENYaxCIureLmUcWYddv h6JRksxTWP400H4Kp8CsKBzuEIFzaBoz7LTi1UbDYpPSFY5y9atH/ibKDZlUYTtoS3qzfI4mR8sZ DKkGWZwU/ocwuaNLFWFRoqA8/gcPDyTuaENy/1At6M/Mw3gJP9W7zG+rEmoBc/1kH0atHGEoeIfl lGuqU8CUI1N6dlCAC2kAHvszMOvSg0yIwdGuobDagAq3qjMaGA3wLqn8IwCEKB4SsdwNtnRpolN4 3D8QDGCpqwLgDXQJkojBNvUGRYei8+oYeP9AUoDDuNRZsNCfSBsbzziFNi5Mh1L2P9adqXL98tA8 flu5v/mVDOYC5sJ+M4x9HcaggM8CKMLCBBagB5qdmkjCBviVwrzVjezRFno2M+mz82vKcYFwT+sU nKBbVXVayQLaJ5h7JYJgKt/jir/cGuW3w1Xu0qHeX5wejsB6Aa8RYK8gt+9sRZy1rEaw/Tfpz4iQ USbit+ImDMY2aFeS36ItaPk1jLJW5uTRBp61AITHLE/Ed/A2YPO/bcdcib1IxIXcqdCj7XgPgjl5 ruV+BTJLpL1EgvmSVdaVJQvBXkXFBQrA8EWHA8daKur+ewQvYxEExMiceja+i7+N/GJTKPqV0t58 TQy2JQOtUCWuB5ST9MEU9CqNcF1YQUWCMgrvTY/Rs3CWxBUtncDmSCFFc+Y/i+zsOrtKRs+ju+44 sq9ZzBhK4QHsjSShDUte8oWZlkcfFYVUY6JOlsYq5HyE2kO9m3vKsWEkmVsBeiVU/m2wBsePJp9T wRIkyCrbwPGNzGVpnBQbZCyjjAM6N1fvHzlJNJZMI2ruP//hp/RLJFLIiUm2mXKGD/2prGbLncFz ln/I3cMVgkA1FoEdMG+lZooP3y4I+xpXZAxKNaH1I4wnEzhi2a2B7hVCvE9PXFnrYloWpa8bQzF2 KnN5zXXR5sL14G6Q5tYYc0QsyGq1ossWI3uJAs0s9/sbuNWy+rlhl9gQuVgYEHyLU6V+fIyQEqje Dj1ajd77rdwfovxdb/FBont5n5J26h/Nfhfd2bf457gFU4W3/8ZZaIr33XT9QtWFN65xi46dk0zQ UN6utASCraQNt4Gn5QVSJxAH1aD/7mlwpL/+D5OBHxAyHriYk2KsZs2UST/39OBinxR0fN/FOY8H rndO7GzToY+FvTmkYctr5qW9CAHKBFMBYCu2S8FtXtC/MdCVWyhACP4UC0W8R1xqr+LyzMwa2QS/ reRtLJuo1PU/DXzTrJ5kEwzbdpfCo1PBS/yqMNLRfZ5Jvy8IvgokWs3STDPpD1EyS6X+DSyYA2E5 VRblDGUBKQwhArr+sXfeTYsXTSmji/fzuUf2izC6K8QQ86/N/S7hRy10mmu2pHyRSUVjXCkWlkE+ HZihCmXZB/ofDQoCtRwWpOxdk/sEUxs+u2Mx7Izz69ky4uTPyl9U+QlMyjwKyJ8ZWaFdFgYXmxas gfmwp9Kt3ZFeMBHHBaXyFZVoj1qzri9EJeN6/cA7h1mPv+LwrVRg5Swkkb9gyCkl9Nh9ICIomU7R ypJ513FgAVJ2zqqtfp4WAUvTjhlWTQgalwRJErYUJs1aOthJ5lqM4xVC7rlnGuvqRNLIiKh3FjwX mpxfoaFwNmMQj4fSekR2f4SSjJjCWcyLcSWrvoRKmuItWQxXQXDKsUMlZpTHreL6b3OR55T73A1r E0rlxHDNvg3BhPj4ZS304rOkgYedz8Cx6q9CWSjArsOKaRDrmY9xXAyXjzfwuBCtI7on/gpI6Vms 5vdW+Ga2d5UQ7ZSqZTm7q4T1k5RaVkDa5hc2VfjyST37efyrNVnYEgo2PTv/CraFp/hH3Wx7UQ65 7fCKjTGUWJIR4GvgpjJ+TCcjNA1mJ5nrsI9t34VwtBlHKJpa+RcAqZ2bw/SVl+yNe45jAz+4pMeC mmcfy/+udgQjsSfhW/RynoO+qPpCXxt0EktHjbjBbx0+OD9FYUhBV0dpNxkQ4a9vQzKwyWOiegaX 6ylmKGL9b6o+NMA2BlmVmbWqlcLi5qmtf7t5AVTsYPD8IK4nJaYyfkOZcwoz0YmQAOrFjOpVR3Id rkIy2Sbe3FR/8B1ZBLVQgrSCWkv4DsJFaroaOy4JQUJs2MX8Mycuz50VJY3As+t+ehIpd2XyV1f9 +RYylZchUyJRAhmuT5HfJQBTxD2GvzrmKDq1k/lg36/fepF99dNjNSCsi3R06TWoE12Jcq6nSAgu ugK9zz1U2k13lnPL356JqlBl7hWb6BlhsBfe72ep1t57lVVkYCPcv+hCHeyDqGS/+kfp47STeWMJ uS7Kmvytb/b/sUF0pOqyHtH1oYFxTGFjeOo+yLExhMw/sUbBfhZXIvtCXL0Ku2cfObegK93uRZ9B gZB8Fkx+SvlyWgwUF3nVBFSeRnMq26CBQ/R0pGnFb//X/3BLARCqkYeaeuppmANy+mCweSvm5Wxq Wh1AjLSPdE368VmZI1r0c8L31oMiSpiAKaaRawkQljd9QXUp2H+wsNXDkU7rUtEyhHoyfs0sIsPP hOYpnRH31UkmWgV4fuW9GyjvoNbodr5U+8egSKKZWgEQFOPfaTcdrMCT4Caey3HGO2THGhlCqhVg TLw9cMOP4uTK2sAQ2wwN/Aci485+Kuzh66QYlcnNZIlOJwiG63aIRwOHXfs/Xk0BMIKakZwkRRR0 EiUltQ6SCZHUedj3C7s+atqU55DQBMADaNSyksCNj5iXYvN2KR95JbSJHl/iOFQknvPr4sfVQq76 bYdzhZysAsrbXhgkAzxp1hTnkMyZhVgs4hQQ7E/RkXXJ8+FuOFBEGG1jMC4AuUiUyh43mx9L7+Xf Y9YkdrfUfEwhhP5kHop4qrioq3ZuMwz6K9BwrSgiFSDBC3FmhLdEG+iQ95SqKox77wXCJBg5VyKJ TDyzZgzaM/YNdYa0zWq4goZau+uq+zNbrfLJ4DVbZNxb7KxspHhAXi6I7sdJrQbw/eyT/5xvT2yf ay+h2d1GdEwlrkaocV2z8NrX7JB/enoVqypYG5AL3IuU58ZsYKh+2GsEiy27ctP3x+8Ol7MzINXg q3z6l9CME5q4P8iFYtiubO2XO525hyTZpV/hoYDPgf0sHoogEkJlrxA8hAh4Z9dLOIfQw8Zj3kaX giO4Nxi2wSa3Cxi/WZvdLEcUuFaibdgRY+uK14AL+geTaOhNRjEU7sfZo9D6TcpHD12IK9R5Jppe sWZ9m953SI5/2QzhU0mtt1qijtC5I/29esnMes2OE/I66bjTRKDVdbYO0apmF01AP+srHnkHhVny 74uz5554okdQbXhZuIdirD73bBXV50WbnxVOO5+CRH/sQtNCThPR1OWyT81N/9aEKaoiVoaTrePS RJxn7UD5/3K9qw6cxIyTIPvqbvwwhFY65Ps9EaWONFH2et3pb3u9Ep20VHQabog/a6N7RGybvhyD dSiATiKJt63jgODLN5sXkdVr5LHbqGL+Q9zSApRoqJCyvKEPolPaW8dOgNDEdBRV/VmgKLYHJs36 IvUDf1OpHq5OBs9G54jdZaHj3+WaRgt4kToaUZzAgCfoX0RqT9RoCNRUl35rS2N9EV8Kf4wCxGkD IHg4E3Mg1azY0+KFiJk34RGSidM+HZ8fufVsUTedqph3zKBYFgG9xmOIHH8GJMINo4yUTWRL/LSx lN5sHw213jsnFC2mR3HqwUWWKd6gBCJydEhZRQtRTcEEAlYAWGhqn3t1fbwnK/n/qd1ezMqspivp cCrygWBSCNkoB9+nLn4fjVDJV4OEOAlGH36f+76VvhAZ2/jy9jV6gtJ7+yXSmXiGtmk6/99NWBXs db501f7dXWgFN41blCo5u0ir/9OXyqsZaRnzP919c2r4DYraBnQQCCBH6lRaMCXFaAecq8aN+pzy umJWc+gPNEEtbPi8eQhhb5Bt9D7qPGYDE5Hy2DCYdKOf+/HONEkcChO0cGq6HrXdyTfy0gZNPIiM 0NKMjlxd/LuB6c9AVlQl7MOaY35p73lAQPXqUloDPh67x5N3NAIIoGEztzkFcXWt6iG+uQkHdkuM 6vNEjps9DoHfGQi0Jlb3sYPnvdQTA01LB5xLocZIhdRhxhY/YMjfoTttVh8tjJUj0NseShanGJSm XNO+AHvMa0kvhoFRsyqKXD03W1vuli+1y+oabh0XK12JiBJCDpWFXpQNAaP/9vmButVsvKo6lfz0 QRp69belH/ehnZAgAEiFUrsB7cc7hapqGZ/+Qt5tXeWJeptLjStclSaSG8+hfVMM60SukMv3yxec Kx2ZeTPvT1g+z6WGAvJpVmqq6nCQXykqjLYkUfR7y9dfL4aC3ZpxQGo1adBqEU9uiRMchwWwbxAG SnxqHWodUGgyV4adgKOGXZRvK+jNlens1WK+Sa/Bp9tk1bNzdqvGCCKxy/qiiMvX/Wo6rb+Nv6s4 Hjg/kCN8jSufE17IP1+1DVP63PN13wfDCAsM5VW2RBxeHs9Ho5AxBPiFxvP+XjyORRUEgLoLe/Rz IFtwU/NWc/wC1yEXJ8hYvX+u06eDQFOMNlVMBBSfNKGjIURsxoyTDPYJJ0kBaSvx+fJiLCZZNnBL efD3zSu7UG24BHXovl1vFNWdGTIcpYI24VgXvoL8tW9BoYCj+IIiGZQRt4EuMHNakh+yH52nGgnE a9PaP8+TFBHDhNTQOYWIIAffCGsKEY70eb0ZTwa6dIVxGgpigDZv+dEz611kc7zT/vvF2jH/jS1E l7nCQFvzk4VBddkJgX9gqPT7ZyTUEdc6WUJnD++xJxnoNhQLe8wdBev9idjs2mALNVmUMg3OsYbt 2E/1QiJI/yEMtrdVEMUzjrJ5K38J60/cqWm+qAtt3SMxfXVwxHSoMz6XPyY1q0p7GYTZQKXwHGB/ M2TWuzeGOEWHmKUdJzIIHsjkY2OEZ2m4tm6quQo033pwBddAhwo8bUtdySp920SwewsWFvkVhkTB 1HotMvi52jsn2+wsFEY/qF8lW/fgc/2We985Np1a23Ijw9Qg4q8PYjHbSgru+IyatYbFoRtcs82x +Z344+iX9uyLUbMxxhGTXutIjnfh52W9hCg7yLaXZ19mcZkZ3vazqEgmZw1OiRSLl0x2kxu+Z4ym C21lEEHzBcJVPD3OGrDcAZvR3qmDDD1MvaJqTHzc0VY0iyqITZhMw7u3++rVd7GEMJQ5Xm6zB/uY UmZcR9HVkw+/LJoFVnNt3Gs5EhJyyGKiiwbO47rGvVbMqe1SMWF9vQQtJ/ca4vgxB04MHtu3Nz1+ ksWki2UdAzJTg1+rDNl3MpOzp2eCJ7phyBTIelEFVDqCoC3e1IE+x0THS0KcG+ZpE9veblWqX4YY R++aJr9ujLmpzp8So5C8ZnFlfQoV5ZXiZxJxlBdLrOf9baStHIiPOra356E6yBaxioFVlZVXWkqM vvqVdg3V58TTHzZGvM0XajxU493YVpAlCU663wKhmkmaxOVZ5HEKRbgMiBTu0vwyQb8KUC0iKyT6 zHwoFrFsnUwLlVuVprFlWBy0DUaH2MqBuc8Vp6uwxGFWiD+PHQbZ9l1Dc1lhyOJ4VVDq0b5BohkH H1EjINCRF0vhM98cV03AzLctYfgpdJARL2uV5gTYC0/7BrFSvH+Dei1inuXh+4UeOTev21e6D6/c RO5LN6g0t3AlJBiDkFuf5iQP5eKkv4J1YUACPk26PDz0jcZq6tIaDubM2mf/rjlpQpRDH7ewF6e5 /jZkhu8HklrYC5MWVBpoZ6S3KIXrpAjeVZn3+NU9pcylRlwlJTSQYf6981oW4GJ9P/GXzjZWjeDO OPEzJWK8mS/uONPqC7aLWfC9C4hhFtSn/IN+7NWzsMkel3JfhvBFIEdKnlIAa6WNLZtPOKvsSPad ok4Cuu40jOvF/xV+oDOd/6ppOml9H0oHik+km2SWUhVwIvAfXC73XIHfn2FnFsTZOBTj/E8u4JfS kPeY2pxVdrNCngd8mSu5EKZXFqvJiZOuQYsKn2RjheHnmo0qoWURiPDK1PKg0qiWuzfNInCcO48s z9CUQeyqWZC5iL0kF0y5uhakZhN++Y7cWaMjHaveLZpo/N6FAR4ghiSBy0SePhzspW1YwYzSfaSY 1Q+xJvsEQWyRNUpWJUg+RO1Wl14JbnerWELjd/eo4HHNTv/p8Ka4YUCO1/8HjORLJi0V7ctEZQ1U iwLAxbrqeUqAjNiFVQ38yZ6/QN4TwWnKyRwbhsNww3pJHEF4OkOnTyMqy9smAUeKJRJVcaZaWspJ kp+r7DVhkT/HYVnTCOZdQPF+J/piG1DHd/WDiIpxgV3Au7g1fzSEZlAVlhNWZUvNZYMg8NFUV7KJ W1+LIKGuuZTLZp5xzR50P/MQyi+ddjFyNrV442LzFSRXq/39WAuwMyS8TOgS+4yFX5ICnmx9BT9r j76rz3p5CappM4ZStxB8nkdJNYONQzq2UWhGi7bL4/OCCqszAPtcTmQSjarX3TyND4YXQquKT55/ 7HfxItcAZ4GZoX2LPcQq+HFR0WDrUJmJxP72j66ecetfHRXoJhOY4p7/6qZ6WlPzHQ3ugYLudDF4 FmOEqV3xUOtnJqACKDh09BKw1gO9rrVR7ZGbOtpuvQGvfp++ztUEqaEvle3f0zaMWsZj5hLQNweM X3BU5mAjyNJzZDihWUvdF9GOqgXkpyHSNq/8nq44W9N33JICU2UKazh9S8VT6308usXzl9c2buc1 dn957ZYCjmVlz4QHB9obubfzD3CEd4tVc2651Hk5lmsZQofPYm5MjWsgY+vOD89sWATKCDYzoywN F9xk/779+P59CGfVl/u1NPnLnsA0iLowLwV8gdh8OiePUML5S2Tl6lAtev1XCqLv6IyFZndkteNi sZnhlGsgdrsF6RaeSslo0QpHEvAzLJHVCJrm5wEb3+nL2Pvsp+F4Q99xUxlIJJNTjUoBinhHpUfF N7X1T3PlyP9nEW7ZmVKwE0M5mfe9TsI8f9D7CbWcK1ip7o+5zYsYNGFWkcRjBL7rYsBIeWVPLYUn Wcmfy1mxhgAiqPvp02IEHpO/gU53foaiCSju/M+jsHFQHsv77dL1uSIcQlP5jmkIqUnhP1wZ6ego v2z4Mm2A3ks+wq8J9HhDhs3iq7wJyDJDBnk/qNcjmpBql/LzXC+Ft/XYtKtK3fwgwtdmcLlO9kKI qbap0Aa1Vn48BP361hZZU0X6EzLqku9May6lqBR5rFnxfPLBMFf3AoegPMSdTIk8ymd+AKAYXr4f bCMJUWcfx+6i536zDMasdJ1lXKXNXL/yacpvVjirg1yQhnhNOmMbACIREsVsAzMfwtjG+BogSy65 Y0AeVSPeV1aAJW5N5E2XDDNx8ZN5BH1jN1pZKfCAL+nBCSp7wgGCacE9ZZJumaVrfKV97MVkt6bV xjTw1UVXmho68WZ47DQ5AIKySglK5ZVds+UG2Qn+crqVHp80ETxhTGzUWMdxiNdNXlZsEOYCdIX9 XRA2Y3krrNpWVsygaHaqxMwWP3U/blV0t8yoZAxxmnieJ1CGCdMB8I28A9GCDSumVou4rV8OlxYx 3Nnnqn3TX96JA7UP72oVcZ1JHcLy9ghl9ybtzlACFXfcHgC3xqckXVgHje+rcHvQ2OJmz5FJtiFQ P2N0x/L71oRQ9QyJUROYyeuaCoG1DOOaZCMprIDlau74j+pLVTwXFmwhoJ6oXwIbcQHxhXTj7xOb hHxsF0L/newseDJaD3pahwZ+sSejIQC4HfaOh4YMh5H5eqNDH+1UGuXetKCckpZtrsK+rkLRn/jx vPFCx9gMljjlUiz43Dam1GFHUXYyacF0TxSG0YbDOOc2yLgyR5nQsPj1DBvtfOmTcBZPTys2RYWV 13ZdsMx+N6vLgTPyIdKMn1sjK0VTL+lEKEnAMQD/qESe0dFpjfeHFoLHvUdTWR24RyI6u4nA2J8W qVPFA92l8eM+XlMdKcHYozjdTkRO0Cg+B3BIB8++19DBEMFEFKqopHsutrvzS/rt8OgK1+V/BuG4 oDMnEJiXHBEheCcqNY3nwLfDCI5MjbDu/PIOhACpmepaYtv54nPgqkDuqKxNAA09c7XICAiPH9kl osotB7eidU0SqBXpb3YoeCLN+EcxxpW6xFxr3MhtOQxX1gxBlG/enxLtXN9VuCLjDgQcG5QbmTaN wnyz0m0hNmdBp+wJOA0FHeuX1PqrSMibvsTMWRFdpT+VXU6avPiAMWdgHV3kVAlPaTq4xPEMyHr+ GcW83IWlDb8H3Dr0dK64TenHNXXgAC2q473PTp+L3Hnj6VnU1sdhIZHzm1JS0iKMdwTUh2DR6fkv ljyXtswSWK4Il6R1c012HTBrhCiqZn4zmE6yXTjGD+Uekw3XSfubfLFg7vUsqKdcGsgOFUegdjOz aXmelvv0q8oVlfZmzY1uWu/m4t5fAOgEn2Pahw3m/GmaVrWcDpBRGBRkdEHzXEzwtRxeYlXsWltk iVfzTHTgBobUm20kAzkDbw/LbsrXxOaekzsV5lJl5EBl8v2vMs5pCC9pC/0Q2JJ/rydtX8rWEmRi RFy7dz7dzXTe0GQx3pYDnCVaYB1Xh35eE7BUo9a0VnPSr7a/HtFKX2A6ZDKZZdtmxPBhWYchOQUK AlwmJlyTOPbV3JUwNte+ZCyhmWON9oNyEiqG3JNrL1x8wy0XKXP331dUN2VfoyMUB5YfRUwwUZyI Adobxc319PhZ/45NzV3KOAzbAm5WwdD80TiRUFnynQzqOD37gtKSkKGRO3WXMAdhqA3o3Va1uyK4 JcYT9glEpNQge4N0gDa8KF+KC0gZy+Qv+nHYnqHDRxB8RcdzdMMO5sTHSVeT5fjTNnZpcOo4rB1F MxMtL3s1EjU7tcwS9yF+yK8M6ySAZMtYIs8C+6r9bjq7yDpP4HLbI3Cf3HbM3Zc5GrQXP0mcTDLH E2P1/zNNW2aUOzNhMeFtl14KZqgSbz7XFtdnkEzQnLii1ia55E2jelQbeobp+ZaWUpBEQHmow87Q KDtQSYFbyMde1BtIJhLl2pSEcsZIzQ4wgzc1HJi53mZwzHcNPpEPcj7lWCsfoaO+pYgblBGYFsGq grUyv3EqE9rPFrYd17/0TrU6wbOhDT3DtSCd0qYxGHKwRcwlqIL4matGeb9we5mNZLueCQsxWx6n Zy288DGlhRKG++nrLkznrYwaz3dFz9S1Y0+k/xzXlD4TINo2n9zxlaTmEe2Eyw+Q2hyLuCs+g+0D A6Sm7+5p54otE2qOt6eLFs/qAli1767oRExCWEK//lQUPfvT/WyzpcG5ATjiQDERyp3mtG5Mfphb RafZg8RADBeKYAffOZPnmkmQN/cuOnzOqhEX7VBIF0TKWdh1cZBxqxMeqNmAY75qB74XXWOMqalc ZjkdaIOEwAHhCcwvtB1sJwgy/jRsomDIK87IvKpQuH1CSxIBh9Lp6SGPCwU5ZK1wQyfxGJkkuk+0 2PldSsgq7kcSTv7DZDcuJYTOfaJIYuijeYP95URyB97gREX57YyhGAk/ifsn+cFkzK5yzveJ18HX WGvJYrheEWSQRQwqwWTniM0K3Olsx9h753QO+MvpMcx9dHdGuDzmcoLQCuOZaqL5DdpYx0BuM9mr VLpsd4plFKL0oISyCsltUpQui++Uwy7aseSLxdDEMTz2judxnvM2587ronIvm6xsUjc7yrnypZwr aLXu820WeUxJZpONAEXCkxzuEhiG0lcesuUkHTCrUQkbOjCr175AWBEeKcnOgrHLwxUAzOvqr0sA L0cc8qXO0JrV0P8XtiOJqDRUb7BzreieVS4B4/e13PkGr2ojOB9O3iJubuYuJIGEGX/MbAwDoaAr ne2oOWwYLffXStj+lPRITSeTMakQ6AMh4l86lcH71SU5peLn1CFZFLzXyQxk0dxcAwoP0/F0Ua+0 BohfXUiSwLmvCFHO8N+Zs4pjmfEPACVcmmYDhqBn6fpNG85bsNUPmSnQjHJDj0ZaB5LErkDELM86 1JeLYX7PVmrdAmmM3JRegZayb5Ck4Dl8QqcqMAnKIDUMfMAyEl8HFPcMgZ04//FfIwr/Yo5o8MiX ZW8ZVRpauVNYPiDd11FVSMqT3ib2nNPb62YkSlGsPfNPONb/N9sRNo6pYi8Y2+BKonbBEmanp9/O TeS59mDNaygxUOzbymD+X3M+MK0E1kwxqChOsaH6GRppb6e/13hERGHbU675YMOXBEentgyKlwzm DOsu+mz95lGn3/4kcxL6pD6wGmVFJbpmI2Hn9PQqqtBfOc/vQKga2nlLTaSYYSq96TQXfhOAIKUw GSof8HZPCGIOzkaTlCoa5oH+1CfUapvXWK1z11W4CqM+8Kl2U4ndM77+BXeNy5oSN25UiLzX2aqV wtl3pAJB6nuRKmHckCVXwBdGl0XoU+y16noJnLmVPw2Lf8nFHaJ7UfpLdtczzYA4IdnA5v49CkJW aj96d+jZx085R2ApueOB1E/sFUf04UJaKhr4hQLftOeT4Pxsmowarh/4KzTu5UChpVOzMCD77cvS FYczx4zkYp5xiwzH363GECDom3Fyp7lQ6+4ILWnWn+EY/vjxcCDdunu2HgTo32p9InQR9zdEHjBs TU94lAsXnLX+bCpfbqS/IbBG3zNoITwgJ74sHqJyxFjUrpV7tsaLnF6S5PXdqTxApoDi5g3nZg+d cJDm6GNzYIAYZPi8K9Q8i22RxJmsJzWCtlxohBIfZd5875T6xpgmNirMspqdfuJtyCFfWHkoJ+nk nJ7vy95vQABwjmtLsqx+DDzlRKUtqbKyDypd2tjoKUmDmibjJMM3SbT9QIG4oqAsgk8a9KrG6mJ3 Z5qVN2kOnlrp73XLq2+j92/8AblTh4Xkt2G+Q4Msq3eHTOcy69Bvy0YPfIIbj+andTywcWn6GyPH 7WkYZ8Kt52kFxzcGWGspIEja2mNGgh7XrLnscm1IpW8QLRebcpJzV4oSqbqRGt/LAoR1Mmvm6irc V0hcWMst2IvANwUBhqPFkDYvOGPu6qAINf/GitCmHEgwsPBYbufpDcPYwKi9QugnQMh3Vk2vW+6i p6vRo8IgXRhxknov21YRZ2IaziAdRtIIMCnsKTyDKSikdYpdoIpk/MIDC4j2nHLfnW2fn6ogi6Nf KPMsiAFs/qeEnt1934q3YHzVhn+Q9gZkYWxGXMxlMFYrZ1+uhGdRFFTIYxLpd4HXw0CvhCw1B2/Y bbXe2Acmogp+p2wYh2qWLM3n6mtbCSG7XmgUVVKs1Yp+21TfRQXFcDNwJVkdttc+rhOZPWhDZKKU e69ryyNgqfutBsJAMu+0Ieeo1tX8M7Ly2bv1K+IMvLW9UtbKFqH6EFt3PJTJYLBKmqtpWVY2g5eL 1Fh2KGUNZ7SyObieV+JOqBQjd01q93fn0DpqMphzwbl+wmZSQD5EjIR1bH6MoBYRQtgYdOOtUPng 3NnvKqfb8COsXWE0nx//Vt+ajoldoiqHLhszTwu89DELvheGq9lKGJASGJ7lk0ABuhsCi3tTOvVr I3CQsZjRoe4F5J6P8c439Gn00JabTFP/jxYN7PMLwYVhhrUcVMK6llbtSkSl+sLEsILioEmjLnC3 eeMmBgOR/O2b/t8cLuTejdlSsxI21JFCN+Ta+JBlQF2vIiB1UbOSnEexH5GxrGB3bcAZi3clXPKD JU1p8q41WGunAAcAPI8gRZLrDNLyecgOn+NdVncqKPz4rDBRwNkoNAZEpjyMKnovqycfftQsPs5V nli1Y1pmMKFUz/4IIZKYs1iLO49lrjNKM5e6CknwyFFq7lv1/NNuBrxOvZUwxoeI17kUYIQS7dMh Ps9eNLQ6FGm+HXlcXjBbSh+xcnzJpvGbvyG9qauSNs64V7TH04ifdYXyXxZTsEL5mzhtSzZ0LJeC lM3nIm4KS7Jsk2a+gPtR7qh3ifpHRuNBzJCpjB7wFRGiRxLPai9uwI/L/Za+F/z9UwVL51pUekPk 7rM74ptuK3BwkTD4u0WaAbLafszx6GvZHj1F0O3jiMDliBe74iLKJ2bXyEQCzc12QqC2ELe73v3N XIBF3nFmvZPXmJYmRGsnZhN55Z6fIVQQ2z9Kx3k8GJY+UhELLwn90ejJcV2B5tUWthwXWOhLqGDb cu5AvnfkDvYHEpYp9a6haDy/mVptALZQd76Hk4gsttlVHEmxMafBAb/hmvM9RLLX8CzamtSWSgzk mbE2gx0jATC5pRGatEIzdadkerh0PjC0hsl7tUe1vpIlu7CcmLfV9V2UtyBhHy8DLH/BxrokTla6 2YmgUSiKZJ/MamUyCnFFiGMKO0IaJbE1V6bzt71mkLleYcrJQqdkSJg52nCx3ca7HSVdpV2AHafT SrfQeeFsOBD5z9EppNyrwkM4ZvDiW8A4CPQ16K50VsuelqsGAVlcERIY1BbXdIvJPi2m/PSbuV4c h9H/EjR7/7NvSlEr68AWQe1TmnXmfSbuaTby5x7bWgz/7GEdl6RPWsqgEjmhsJmOrNU9IviEcwoI +izb9euQGm3JlaD+7rm2SZ0atytjyEsrLoxcBBVyucLucb7LPINboAHZZcuWKUCIb6586mbp/HZ6 EU16LLAnbZPUspiBWuDiTTHkIK3zYQwnuOu+Kix0728T/nkCv6J8Pz5nqeY2uoiyndIOFSRV8Lzy 5WX4OPm7pjCrx4WRYJLzLcfQjZJJZKwK0sJYyY/ZRWWbi8GLl8WxzK1PcWcwGcTIAXQsu16g/2zo 7SqxtHk8BzeNbJFW1au9FfV4SAe7J4a54jlybcK8Y1dThoY6sSpt2apUqRFUGvCtQigqfJiKpg6G MFb/AbmDIbaUZ8w5vBLZ/u1KgGyKY9Egf4EZNjvNdnb8d1c+laTrT1en81jbb9I1KzTsHu30yM9L nyENYxopVccFBHkkZSofWmM0Og3r7AwsbyHjXDhtXKJHOW3N5Vjgvz5K2onvmCB+gIgiTp1eCXyx IFVWa083ql/1INnvqi8qzykjSHqs711i2vyRCAqS7WF3/tXmvK0WliwvYFhqUaiRdYb4X/ZwrRT1 gHTB+b1x8gPG6HnV24JGYnqHKLvD7YhqPvYgURW8dFtQ6VCDc7bXkJifezzP6bf3Pc2I0soV35g/ TIss9fOqyt1J2XDFtuxH7iCIrCgulZ3tOTcbuhm1lrriNm0nw6ukkdror+M2cRC1JeKIGHCkc2QI mUhoKihWkN3uf21VyJx0vbxV+DNEnbyKbIHNwo/1fDdtoXbF5FNIjR+4Imw//z5BvAHzhnbZ0Zl/ 0366Xoqg8C2vXOE1Z1nn9ytdNWIjhuXZ3Pibbzw8/MbKt6/us+sLia6OHMQOXdDGDbq2LdgZoa3O ZZoHVnuvqik2MaDcSIoj5+C0vEPopQuXvgGUasVzHgpQC3Q3nS9AXHvLoNEpLYf0ILeE8/XzeGh4 bjlyHbAyxv6dfhBfQT05hnkZ6cCNuHxUzngK6+RPBkpRxtxvVmLf9ujdg6IvyXPeXIaORPqUkrf2 xR0nLkFsxdPN/ZQkn/UymOyob7q2lfcuqclMgdXUZvJY/6bZ2EyKpjjnYUBTQRY0eeas7+IbrCL1 BlYb2XKOoHNhYo53PQ5YYco6A74DpN/Ih+uN7rFoqJYRs+Iqg1YScV1aRlm4ERoBbINL057t/lY9 6jEspUi3PSCy/KLOFgSVAN5zJFba4RrKuoeqGqarc5q3qPizmLznY405s3oC9vnMLyxfd4hwRnV2 AXEULuU3MKphTjhrQUUwTQiJQlMBNWiXEiaTj+1P53OBKqQS1QbC8m3+KChk4Fs8RKJWhuLhEi+L WudJRAu0Qrj4xuHj3h1jinl0nhV7LJhiLXWuLXTsQNvW0a0UoIkmtHr9abZ3rotcIF2gKl9ff/Yd XRsJ7mTau1BYH9ldOd56TgfD+GHCTwcsaEQYnP+WowmlzYsFUqiydtuPdLRxPIip44VrXBDQvDZY rCqmpRnd2MlCCMLSPjxz6+oBQXLxUEgtZRry7uA/poMi5RlbrNrcWcPmasai8m4l8UviO4rTMDpA CMZzLhRfwrvcXrMu9xAgvBB6VhVfu+9GeJ70ObnF3A2GUC/fy4FttvY56ltJ/8unbk+uOEFtA8A8 WDTRlg77BSFxC23yLDNkYY6o7lILJUXMZI6FChtA8qWhPt3OMsvL0D2Fa+GAJ/pt982bIkrMg8b1 3PpsgnWf2OleuxGDaMW/G/fYy8j/k19lb1oR9+MmfG6KCFq4k36Hxx3RSoPFnhutYzt3U/jYsUmc Vn9WVd/08Xq3Xn1rMnX7cDQhhoxh6wky+JfN8IXVaqu7DFvMHHu7zYHsE6sidp6rt0ApUsHE2qB/ ccmZqh80vj+HSQmYxQ1JZevcSHiPQTFEfOWnJOnNHy6n1yRaxVToIAq8qe/d8CVHNqysEETG9BaL gZxP4SfXBPaRbvlNxbjXBMMuriuANx0Yt2TB8nxRrhILdnCSnmFB+2Se3N7R/zJa/ZsK2WHvqwph 9/dL9oTcWU1JIE9WoaPucbo3JHaTaCUzlBHnJXLlc0NqUeSAcKdM7gxCGZsedOjPr5SSdVu+Olwj pb5gGOUoVkItqHw/cRyXKKQWARojPcfrBK64m8+9I5414FfWfQoWeFjqs3eyNf3+kc7U+Bxt92a2 LTyYbc7pDPEIOa39EMrXLgjfGoL6Iog0iK14YywpM3j1SXNTFTSANIndimLWvnG6VpyWm+L3mYMx e4fnCQ7314hDTheSiWA3GR/R+JewjfNJTqy3gFK41cueO4GygYtZXueKcAyRfjm942LpgkEBYIOC 8/oHBsJuI++6N1Do4ewyz6RCWClmOLbf/A5Pj3yWTtnE2VVGEg3+1v6YTHYVAn607cX9lvmiZliO F2R7NxITSqgmrNKeCFGxSe6HDQVnpLAwsINLof7JwDRbcky1O9bpDSxGnbQ2n5y5Ko8kEF01szTH ZuqQYuxkHrYGKcH5Ad8DMC3cIsdJVwyUtP46ueOTeNrDYYOkuGM6+cJkOseIsaY14kEtHgYHmtQv dUzE7ZOSVpKfGe7s3pe85U4cYV7Mi4KY8gnMMzeGzBAelVByqSuWH2wX1KIlWOIyBMhi/Ll4M0y6 vbSvaRbvfIroS+NRBIQgJ2frWWPsjStU0FNRbqNmGznw7Arb55GNVMlp+rrYnDw2wk/f4EWY79Kd AdVkLjxAsLXR4/+vxG8Nez/aHKeIVicONgL60SFV3UA56WMql/bKT8a6rNFp317FP0dKXmEAl5ww KL0M2M+qlOlsW0wnZ8tRZoQfLCOgtkrIbaHTAMJE4gGrnDG+ER80Q2ntSRg6XEzYh/yA/8H+j6YE WkckADaBYH6epX3ohJBeLs+nSTuJ1ftJbkCiYDkQTeV/CiLgfvgW/E0BcJRrjKVGBQtDsh1NExav ucsYS+yu6AaNOQHgX7VkbbxUTHEgH2hLLF4+zS9OpUGtlhcoirDqple9crC9YozGjoFk4Ac49ivR C1yc83WPypqAhFq1GUxoq+0V8FCPTMXF7jBaNE6Hi22gRTmL2JENTAtaxb2nHQLING98JJ3o+Rq1 lSShDdqGE30jascfqahIRmDzvpVYvSxDDfRl5xixQT6bCzJ0uxjyaEB/U04ZxzZVip7oimjeHe0l xOX0ba2mtkD/p3uXKuLCjlwLadRIpYO42GNI2StK2Dn6Bz9rAvpmDv5R1/qrq6SUo6U8Er/d5SBe KrGcx51KN0AmPhsyPe4aJTumR8dVV6efFlfYzbmb6sQ+o+jpKrCvSRYNLh6PplSMx0je0KTt5wYf WRDZPECrFt59eqYvv9ChhJ6809JeRCMD3c3Z4Y6A0w5qxat7GoXGvRCnlVbpvkEkCEizqV3sf7Er XfVeEyGKN0VryvocNRC7aylfG7aifU/BAkYT/0t8+bjpeXctcv+hIdo2SdjXNyyyVAoPGRSo1ta0 dZSw/iWlVughZmdxCcdnJReulE5Zo+S7R7khau3A90frekEqMq8E/Q3pROLhdNFbOVLiuTjcI1eX KQRoUicFt4eoFxS4xjc9dPY551H7uiy5Gc17aZE+C/iHewUcpRLlq9EfsXteo3o1x+1jQLlky6Jt cwZxUodF2tYNhoAe2okztUtbwRHeTdPX3lzE52YDNK1LjvzGwnUZD1KYu9yIw8zWFBCV3owRtkZ9 8SAg1Q8ft39RTDJxWRi92YYFQMyG7b0agbwDesmWv4vMVuqgDVZo1rwQz/kcFw2kBg56yimwC96q JRyy/TprDKLaKGf4o/fHYh6zLlmcqitVykZqLhEV9iJjnUdLl1AKa6WyEY4l4358EP6BF0DBnkzc A5Pi+GRHvrwj0RD4Iuxfu/oMURoC9zxYAwNjYh3GxpuJ+A43g4qvwB2tzPoZJqSehhtsYQsviAbd eZugb/fihyt0VwbPGi7xqp5hD0eqanCj0n7gQAiVPcfbOqD8x9qekZQ789PMoxZS3PqYta0Sx/SF qImeEjaTOi8SgX1W9KXQ7m5Hz5J9xl/0yP+WopA4Qz8oywEB5RNEL3e/gUrcwlPi0aoOQ4WK1Mi0 j6ovptq8MNqSfvJlh+90sxRakS78rCWOBzE9DVnx7HS9kQwkYcgxt+Ca+UllvpScT00c2fiaHUMm V9VAaeBmpaT6P5DIHdAgBGI2wyfmQoCut0Se1PQB69zoXvc0MbCmqe8S4mzASSBKzUgocA9a7YNc 7Mmf4bpAHNlg1axRZh+bSqqJw9BP3PxS/raO2RyOf8dBKJhjVOZyRGDHCskRdNE+s5xER5ux6dg1 CP7M/nUlkKsvoz0akoIMRFHMQ2vIQlOVt1Kn5/OHpBlXYh3rnDggi+YzEY6vMMjX5Fs4+4asFvZA eDywxqUP8WU2kqwJ+FYEaozksZzndGJR/kT76ohwEVQztRmuE1at0uGrLtW+uXPRWdSFieeFNRjI NjFBe4k0o6Cid8KUmQRu7UKQUE1i37zuLbqtlkFAimrHT8zFHCL8G0GcFgZ065quRzGg/jxP1RNp t1LOL1kHPe7AIR7NCO1mDcQpIbSlf7agld6u6Sr0zKM2c3G7dETpBoJZSuYyGUPutP8d9LXCPS1I foadpkO5VBxKP/eA+3C7koYX50gRwE6q7BhkAbvggO9R064WA1FQ6f0wg0lQRPWG+Do3ISQmtWjU Cqet4yXpnrGVihl16gZZHbDPbzIoV1pWtEIzNqn0MaLxnU913s9cwEJuZqobWCJHN/do792D+El+ jwjsfO543iWtjfJFLu5DBw2Qip+Jbs4EZimZhNWSKSqdpzaEFLB4PkL1kEHn2SqL5lPijJA1GiX8 gnkqm6/9eN7VWOqwqh967TWG06CVnKpYlk4nskglrd329WEXPzRkLhndt3hzkZ+d9mIc9qHwZ8AI ThYgmZD8aRlNXy3QFxn3naTdHb3wg8/poP3vuFYTrAJfJYfo5wcTgDTKpXZgYVfZGsrWkjbLza7E xHHXhAmbHD6Z09MlCkozYKKAQt65NhaUNGvzZJsdugzYxUL7hu50HUofVdfV2djlddDaBChS8GVU NXXARMOK/hz8ZH+Fb0KgVINFZjQ/+70D8WuFbXU8djCMoi29ATC38HXAt1R75QrDtT43ae5bSRi3 lwa52pCoZ5W9FxpBYuytewaJ89MIbdqmDLe/keeQa037unmK7ATKZZTIrdNVkaWDV2yNzcYnHdcy UQeSlxQIGuVbSXhYWi2dpXyZiinJkn+FwZ9OteGC0KGkK0zZ0oehoWQ4wcbnsL82OT4WUue+gao2 g3Srpwqh97Jtim4JwxyTWQ0J8V8wQWw4os1qwfHgvCbJP0UEEFOKccor0JzNZ+BVsKHSiw6POhgh SSGBnGSqspVRxQt9arMPaKQi4jMMepzj6V99+FBeIgOxGjXMb1RJRVWUEkigI3HkwbPgYM6bC9Ar 9nehu0vKtdAPwibjaT/ZgVowIMkTgGdM/8dpSk61bx8Hwkqihx+F/RTlFb5emAqeawN4o/AJpFkM lJAxgqjFJ+j7vOx9i0jbl/2Ql5qlZAHdovGuKhTLVVjT5/o7l2qd1I+mgxaT4J8LY9kPWD7tzDgf rYaqFyXJmEJtLMVLWzFIwgExonWruyFBoOxEcfhRy97UOyiANsb/RoaKH/fFDqp9QkcL8UU7dG8f tPlUMo98pPi6yPGuU/NJ4C1dTRsZ2kYmxZ9Ma8fiit673xqtR4xjx/4+FXvI6qSrOG/l4Cf1OHlT gZGuzfU3HoEblgKZ/JJBhe1TTVjNxGFwDG8Po2FJS9KrJIN28O9HQjXcnLcNvSSlWNy7pTcQW7CR p35hXf1BWC5GQ8WjBbTgR+yeWuePqjvZvqtLU/piMFBHG6+ARFuhaCYNLa0/snnpFEt2WH04oxSX uTchhZLa2alIogq1dxTKUsXU9OuPm2cQT1XUNWPbiGouxSLFrPJD7OiHHkpFz9tYAXInHvip+VOL j3tZfN++YvqkS2mf2jjOrHm2WookS4zmzHwKQj+NILjpFx1bNBeF4JlKgKj4EGAWIi5CPBZoFOSU yBDR6k/LRMnNCd22KqFJOwhfco2fMg2n6yBF5BSAsZQIcSQ6PZCFA+xR3yy3PIWgzsGSMrRirnD3 5KcPm/+e/5mS1zWMSBwpKOA+kHYdYcuDfGwIDBVvUt5LCeQaM1gwz8hXKTrQ2FyaAr1FBDCEdR1C 1kLPCMADo0Oa89f3/mkfn19G150TD4u5HDgIopl6vhvkGufbJM2jA54hWiSnU1EseCniiAnyHZmP ksnc0eMCl62gSDZhoYQp6WGuCQ0GUxGDnAdWCqCp4RXfKHr0Es5vDUMDZYzbdKckcGIgjc3IFsPL vZYnCCQgZ45mRKVE3cCTm4Vaz8Jq5R+kDp+WyGUxdlivG0DlRwckBECERB80KDvnQPpXuoU6pf3T SAkeyfzWTmd2Hb6ikYyQfw8qT55z+GR+TPImFTbv1O5yE6nadBfxMjWtZ5F1A0sQWs95vefNttkA 5CsljFCVquzi6vfacpNT4vf3xpoy5us/bVERHzFawpgeaLxHsKXmJAL3/b9K7GJN5P6Tn8aKJMGC Ji3V1xUx/tfiqzsUw8O09AX7+K00W4nisa0PBPaHMJ62q2Bba5QDIjSFupffqUGxU1qLSUAuk9IQ 66idn4eZsaEf5xt34P7jFswDkewlam8c4iu/UZLb/nV+geIsDFkMJYF+cwGZ61+FDBKU3rvuGFKe /JTAR6ttfGUUZ88l3/TLu51dQpW5TtRPSQcLZQ0TmdVVWUWCNvq5JgfzMtsfeZBINyhkljYrKT1c 7UTWISMIIO6I6ajj18rTCxcqIihRNSX+xfzcXDep5PIkqGXfO9WHEyRiArNX5m4jGGnJqRa+z2Vt la4bEfSQMLbeDtVAVnhEUjly3AVotfXiHPfl2F9uMPuwf/K1NGbZTDdmlszt/A22RP7lWfFBs6T3 ZRGlo+gxxrUuUe8L/PJevh9GN0alEA0WfcdDV8v2k9YoaWxcgKyVR5xnQkAr+VTgMJWZplc5FyX7 TlLD1228Wf7U04m/aEcqAGXHDK9yxdjIXtq4xUqfYGx493xrGRtZg/Y3Gj+I1k9LRS1DuOj8420X zOkcyaVOUe0VAzANtpPorMmGpFy7D5jBMvx+pwhbWvq1BROIWI+nHGbg8vDpJjlRv6YKXBpyM9UW FDMyzBD2a3KBxLAz3DjKxs0gLWNIj7QXbiS6nK/xUjB372K8xZ2/D4kgZrAklyv0ERFgMp1y8dOg 8GO2BnnaZcQRRj8GFM44G5QyphqV/UFKZvJjvSMyA6GiSaD0/hrZTgoNfFaai65O24F16+/zetMk HQRYM+4EvLqPc0oQxtv2aI1OvL+hRa4MOheqjOR/z7K7rg1I5jqieuGlQq8Zxv9Ts00VzRjqrxbX 1lbmYJ9mEWHHWj7IW1LI0Ghy7bfxE6K7RE63LsE4/TtW8lckZxtgJ5pXkhGvAhDoukjYGPELpZBw FH3fvZb3VNEmKrV2pnp/kV3B5SHk7arD0y5ZBT7xzog4RThN0ftMbzZYsTPLq4oz65/1nlBLesW5 C2cCtODM/hRbuESGhvO0fGuDKAuIN7H3NgUtWzSXaFtl7qiHJgyxM8m07pG2GZzJYqVrpkcv13pK dDom6VxgFRollQ7+O/tt7QI/JuzxK27Fmoxs450kmyRPMf/ZG2gDYL4jn/vgUnJ1K3PPJznp6tJn 7C/xwo3adEZ9nlFcInZzucYZPW0fAzeKmDZyJlmoF8S1B5r0weQKO4wCwgGwtexPXffvsh6HDBiN XPApUzx+m885gStaSZTMWOyKYbotEpi5pGyEL/UW56KvHGsx3KSMq+AwdgsO7D5o1sioB+g7uH3O 6Xx4a3X6ADCHal9+qmYxLslKqx3nyPIs4vdL2txrKm6h+6KJzUqYtu2TBURgNYQ1jcsqre4Iiu9j 8sTRLbQLTK2xdaZTMH0uxG1BqqRax0Gl7DVd4kmQN5CpQIqekCTIY3aG8piNqsA11D1ui52jjRIW kQ3l1cC/y2LbziIE1HnvAhWs/FyxkfDT/in65S2aH5aQMPlpER4nOHsHTxCj93AGxMit19IE5nkB rVY6muMGb+2D104omsHfk329NHEPVDfmQmosYnzANiM9KhrNsjXlqfMZNidJ7hTXlwp8lHSxAFtf fliP0R3BoO4TJIy7Pc4b58JAJXTpYkYwq6V2Zy4AY/v2w7GxQavHJTSYmYBEsBHUtBoF9egOYLJR DkdBtOXGb4sgaFADF/cKjFX0VqWIVVeM9lSIQ4VR8vDMRpiOKSQXJHtNmH+A9N6R91zkB9g0G9Fe 2qNMxa1FgY7xivmNTzmK9eTbp0KqkLIdCMSmXLOsizCy4uaonzF90bUO4BXLnv8SvGDNGUrBhJtO iTKuyuh0EZkzSOO/lX8dHNEKP1opwOkViQ1nWmx2DF//ZjqhlqP71XLWkb0JSsp5PvtQr4tu6VJL SoFI8s1JleCrCJp2764shTlnUQri6LNYRqqviGvnRi1blGvRSIU4I9B0gmQIDNHR1QxR6Jfcf7zz 5aCKYdYqroKFZqtL973PrE80ca7DV7Lct1oStNFgU21oOoy4A62squT/RFgo86PiWgEh0UnFdIeT 9DS1kdcJgXrV9Ms+M9Uxlk+/tQrpznrXRgkXIjg2MhUnz1X/9ElMfkjTc+aRFI9Dy4MRr1q4ygoC ypHQWFzTCEUgBK47gE/YbIweJCNXJJ4Am6XYWMksOqTHvUJgLrWYnnpGIXZNj27ShYMN3lyIGpTk yzIf+avgKD/xbg4n6OfkFeltXMIGkURGFQuK04KkH/Xl1+9VC+/+HFo7rypwqspC9SE4uMP10d2A MRqLIzqPdj6WzjWATmG7/78Rt9pcT/Fh7b6lB7hChyl6XBn0/eeGZFIStm39VygjVg3GMY+gro54 /+QoV1wEnEViLrtycMDZlzQX6j3O0ZYx1dHbW0MSqE8JEY0IGF6CR7/kfdWDNSUG979PSctlDOc6 nECVk3XX9Gu5pxZC7cBe8SRKhEM1HThJg5s5hcjAKcPT8ml5KhbrIyWbhzJ7M890uMBYYNWIT1MR RCg/V5BGLlD5JWnAfh7e7NoLwzhAy11rw1yJ3523RRmtvvX2XEra8qTY7vb777caaKE1HmgK/OMP QE33XuassOmxjg1DP6wHEFcK62btAmirZm0s5G5Hqrhtej3FALA5NaOOA6J2gxRbsdwQAKMDtYv4 xoDaNyigP2ly+/hNxTwez0CSDghnrSmbqqbs92zlJwaQM7xhhrkbkoaPNi9g08/2xKBDNmDZDkXu YML5dE9wPeF14ST1tPXGVIFLCmXWljM4sNMQtKhYeFmbiy0wQaVGYJPNY+mxhC12H6R6j/FLB5Ch CiG/y7hEBCMO/1DI00wLzmD705KZU1e5JoDktSrQ6xKkRXBWBz+EddtXY9aioyKUuwvWED3D3N7x H5RNnoPd8wzAnHy1G9DXd6gGLAHCEfHFkFclT6EVxBOaIL9KBQio4WfqTpdT/6D3yQr/LP777I0u VtiEwqLQ0m0ilGbqXEPIFMv9Y6xYF0DK1uEe9oNLEOwF7bzOmSIzMPGdwoRwpaTPA89QyF5R5S3q 9OhAsETxnMjhgiKmhQHVTgQP5ILItIcKLA/jZWbzuNuONXlLqjRoajrJrk+XIyU3QC1/uiMcTbhd Q/3a18C+N7FY5aL6xrYTUmnP8fNXakIPdNG30Dnh076+Jerm/hwQxOG5aHyGewzgrK1AQZuRGEGB TAvkrMfqHayHkhAnsxOyq2mj9MUJwelEFJ6h/FculNgRVFJCNDHx8nqt1QV8r0x/2U3Yy3vPZUk4 VP8SNoFibkEhZrvtdC60Xx1Q4R801UlZ7nLNoe0Brjjg89Yy4iUUo8stF06VlPoK/q+8wUABqbl+ hYEBT0gZe6cTDx3c2YULULrb1vdHa3edfmDhGpO/Qa3+O3wM46XyPaTesjXv5hr/lbcdPVAGtOOT E9zLWSq6p235eFZ0olRAWhc0oz/9CT4NYA939BBw1pqL8Zc79Izu3vkzQgGqqIKQXOc0tkhP5N1N rLGhncp5T3LYWH39QI7iMlODfAUWexM6Nb10gx51P08fRF52ARtcAUh15wbhRwaAXdyJVbkEHFIW 4di0DPa79VM0C8rXiah5lHrTT7RFEevgOA4mqL8+8SDYycjTbbUfRFlMTJRWjqh+eGgYjYAAdztT qJYYUrGmT1CDxNnB2j74l2iMNNsQXw8v4fEV/Vmm2XGMPt6TacqrxY9iYVRy4hr5Q9VQSe2s9b3u W9ybUr0/Hor7iATot/0TZPYVY7IjvErjjmHbxa9YWsZkVtUC30nMhuoBOkkhcNdg6uOOD9MhEe3o jWt2YlNubgNHBYp6w1e8NYPBK6Ub7xO+0a2qfRMfzSFNFJmNFwgr7S1f1StBvUSXqY8xoGaNAISL ICQtqpz1QOykIEXlOdio0kErZQNFYaFaUlsxRpGyiiHmv1G72vN5cnyG8B4qO0Xnw6fjMTesb9zK yrUWApGIcHEjn6TroEb4lTwXN+2q2jmCuhQKRWKLoHVEpsruyHfJkt7eI3U428pZqv3I7KP6svWd EGB2HMvDEknJ6kiL9BwPBQnld6Mcvij8ZKULrQZrvNfUcZbUz/cLWMxX1ACEUUbOT7as+dBTa7Yb RPHw6swMYc27pxHKhnET+rdgbcU9LD9AN7xf78KGvt0aYHEmxmwXFLaFYT1UHMSOeltZ59FW+vzn W5O5dpTON5jeQ+B81WbUYar4PY2m12KiNbrFhDzUF+eLx25dglEtHxKuX7nDajSrHGkFmLBy4cx4 OY3EVPCfMHNqcfbKRzizeDdu2nRCIVmkeEObqWvpz0R1AD2ftF/tYTR0aPAlDrNAMgyGLuMtn/fz SgmuxdCXN2smFCzvQbGjbHVbJkCua3RNcr2naX9xNNrpa2yOi8yL+wDSwHMQwpE9f+khQ6F5+/LH vDfnDFeNnE3dAjtS/m7u5TrLlw7ISqXjvZbmbgO8+NpEwCwycyV0WrFmOmEfH3AyMvF1e11evlM3 kLElQZYWGRPIx1zkDcCVZUbqV9DZvp/IZQqi1Da8djEGWHOJI5u6EZGP/0CtBe8PcrOPuq4n3pw0 5ZN3LBiJg1EPWQLd/7UTgVb+PXk+PJNmWe/Emxj2Yb8okYzoUrCBwMZxNx+6joXlUelfIOeDfQ1B HZI/RClVGI/3rpw6IwuKzCawzGqMv2oxdS7A1KGbGgfksPTLmgZ08kdBgWlGfDZ1IItcKNhjuzDf pDDwbnHHccxeh19rmrZbsOge+RjLh0jFTSrIgf8X6SL2MCUUKAVbi2LJxczvk42TZbWsqUa/6SuR wnUDWU3TTbqYj7jUmqraHMyMmexl0fHNrNitw9AM5sLys9gBj3rLrW7EzoWe3fl07JxWXyYbwDsn R873OP2j6QOb06DOw21Ctp6E3+KI6hc7gmaeJ0qqsxSGjgceplK8NjQPX+0ByJ6mqwOBUW3hyyVS bAktN/zZn5PkrZ5SXqXWtw9ihmyL1lAalKBbG6Kax5M8nA7u1iNLlpSEUrZ6cH0ZGADDAU0kj53X Kg9m2RhRuSBxpuccX5fs8vIKktiIGZHD1QIdcTrMcbCH0X3XvHQAVIyjdURIJEKMKWZspxL34ICV FOAUTyo5ZL+x9nbWynwEo2iYGWO9RBBrczWpNUcsmEvD3WySY4YO18YjzoQW5Lvh19F5UJ+geplS Q/nrbQlVv0VdMEMNHP6/AeI961AidQMZ8De57+r6ql8MCv5Yzj1QUNoscixEIJISXzWhL2E39UM1 PfHt0ZkJCNEORwvrqTa+N3vRw8oSYoITzzJT9353Y/0ao77GqPg2pBluDsIbDfWcG29JP6Clwx2E S9kA0k3yilimjU8dpiGQPJ1omOd+HnKqPO9S93mHPpes4B9vy8iXBYfGeOSqDEq+mek9ThUHyVSv Ktot0MLB9mT/gg8uRPLQr1R9T7+qyFxnZUux5tVg5LSD8pfNcqryHttICnYtzYVfPhUcn8I+WkTP 9O8hn4oebOqfdn7IFb9Ky6hUhpGcHUEl31xn536JbiX6vatMYiNEAKuBgjM5cfy027Q6iVltJedQ oBEI7mLftdihH+F6KQAbLOL7U6c0e07bVoSNH0hWMqdKlfErkmmvm7wAuyb2l3nZOEm69uiBgkE4 1JS+9zNS3DNNffglMzhOhHSIKt/+mXR76/c/mnF/+Yi3e6zm7ovKGI9SbrDZ6WunjNRlnPCQYXY8 yvmYKZp03PQ8KhD3OdaF0/fRLLkMx5TY3K/igFBvgROwl+TVATmloU0lMuOCT5p3Wmau/xrjBjiH cXMcgMGk3JlYZcJAzwXyuWjHgjGalGOYTU0XSye7cXFPYTA/HicxcJxCzYnesWG7JeTde2F2VTw1 PBeW9fS3yo9dZ8I6/uhwwRvSV6O6rm6CaLOqysxRbY4jbGmwJd5WaaWCY8vPCNk1AhNlubSF+6L/ Smt9gpd1lLvJcXn5md7RiHUFzqS0QFgtvLI+/OSG3cbkuHHQsOw8fkR4DOBmeDjeELWI/YL4R2yR yEf5+7F2YOfTpc3b6ub79F3U1hMZB4h3lULEWZKhvfy4vKNl9QKwVb5mdUIs9kX89Gyjy++zQe4L LT9J7giDtW5ykGaiJ6HKh4usP/zZvYXVMIY6vp5Fn2FSOTH6oZ+UBuAPg4ayKWgdmc/3sXIreags Jr/WjH/uh7MG8cXPF7xCiN11yD6384BzPLTDY+5LwRDiCUApxtXZS6hD+xCP+o0yqfD/V7vHSNrE UPgtqtChgOFgGoLuUmfoNKw723tE77iL/LM1cOpcvGTf8IjRe1BHMcoi4V9bTa1LXdd0IspbGiPS Yjd9mVMW//VDQqWdUOnEhzKJCkMzU6y0fAqPvezQP1kZW3f6vADqbV0SM8vLa96mWdGKhBpYcpgk nSrru67dVVKWp8nWiM6m80c13vhzobY5nDs64NI9YYmR5kkrHfQOI/irBESu74wQc0CDRYLTVzJw DsNY3o7GrqcQ0eEu9q+X8N+eOXNDzplitZHmb3Bera/abn6PUxh0ojVbhtsNHGJZn5qYtdM7hTRG m9rPhnVEybN6kZJ94MY1LfJThy6Yl9efLhJfCM66ZhIXiTSEk3Faa19Lm/OuKChORtYvefy9EFNT IgK3NhmHOKz9mZhSh1XEiIwaeeVQODiW76trIkhm/qAEjy+8deR5G3+/mBtI9LN8ESEDlBY8in4C X5UdxSoqdXewA3XNdwHe6pwbaw3+rtPP7OUCH22qgMhN32cWQnS+SzI7stxXHE+o22DK4lp+9Sxl lL+hWFMFvCpSCPPIvvMfq4HAxPQPLc4k5p5aPDpiwBaOaPjGR3Lxe+W1HO1IuoVbvodyk9iAkZly JcJC+kAvWcyXI+MjCIQkrsBM1Bil2KUGeipbfQhXpjFWMail5r1Pj6QRUx5kRvvW10rLoAp7XVss KWovuJnYl9IBbzsMwMJGxtK4s94nhKlhOcIBrbPLh9OpWAarH624Yx5K9F/d8N2UwqfeDOaG9F/k hmGh/6ICMGSHxb5AMPrztMxCsYbZy3ljWuLK+1T0QrkqZUNo2U1sIIXwrh5gbeMcw2MM29Kh+/M0 F9hYZBVRJIi9wan4tTe5kK+BgSRt6rFQADh/5juqaBEcoGwQiAvKzPOx1PTH3NEwfsZY6eTTUkli WnJQDM1LW3L7zobSt5McToMRGWi0CgplDo1oUuCFv49g7BMND13uj0KW8cRglsI/fDtwTXzHnC/u 1mWg9Jkk6AuK1nJlHtrCxxA+7Ga2cZikFd65l1tRRgqxjj6bOUNgiAPhsSG7I2qg00GnUFzWvg71 s8s+hhWYdIndQdZQER1zb3imjntP6hvcTcUkfFTbfzi88eCwjDY3gocpzDyt8dYbVo2rqIPv40Nt vM3HRuSvTUoh/wF/CV8IJsf/7NHdx8Gn+ALjOuE+f+S7DzJwXoDIUcmViaCkdJdGqzpwGX++XXnR z9ndI6/WG20nDEvDR54Y8kzckDu377COK4VtfZiHfwgBn6wQB28jH/mWClhHaZO2/dIIYmIfwg3/ wvMr3Zf0psTZJ8RK+VmZz2bVP97SsgdeY95yFe9OWVOHw+6kCgL7H1UqnhugPGrxtJ3F5lFCZIq3 PmbsRxcXMLu4GkKMrRQHpRmm9TFfYRuYHLH9w6/2S0CURyjPFBtSb7j18zTnwm4CLHRrsudMaMzN uG4JQyarYqzNUuL7ZC84NxiabRnDC4lnyQQdIqWNGilptlnU6S2Mv3DGu734Yhl0hmKXLhDhUz62 hpGxUdVHb/R4yg/A2/KkasaUwT++PfIxKViWyfaBgguY/XCM6xlvU9ckvYptKN3NBsAdYCqoHT4i FV9VepIMTDzhutxK81b9pzbn9CtD/567bTHoFSegQkHMQ0MG56P6zUxi4kbvHRRhusJLfeLKP61S 99oIZ4u/vl7QHTfKhXa9g3mm5W3DxBPV6kpuWrL+Ouqh78Dkq9VSCxxptYeLWn0MUegjG7QYGqkx T+rN2tLxSpQKEIBwa3sxq/YdjDpM6NhWIaum5Ydi/+aAqjeC1vKdmyhyt3wyIMtUkAcDZn4sjiqH /NfgsGbfxAdiJ3A9qi+kjm8MIVz46jc+gHxFmbbwOsFWpqeT2ULmMgoCynCWO/FNAQqxPqFU/Gtb qA98fq1d0o2+IvpNX5pm9Sds+u1NBUDybkSjsEOanPOPFF1+5uODcTDR4esVCV1sZeoEOo2rzyDp y2E/v+AQ8Y3vUed+0cEjiu8k9Dz3Wae2pG/QzJuXI+PuikReSuGSoD0KYltge0IMpqazK/QKlP1j AeO9EZ+GKoXJqGpzuBZ4X9ZU3epSDtk9WhoRJB110mlo3S4+75nV/ds3TS6TJ/nSAuv5tm4hR1Lm n5A6SCMBkY9T1dQUvaPOzEN6RnC/a9zrMKj8z89DcGqoID4Pw3PqL21xwPr3RP/n9ozyLQFxanCp cd9vYeSFcCRG5/sXvNdtNjEw5tfQD55vcbtu0ncw5B1A84gHbJK2r5bCYeQO7I9cesEPGJKaDp8i HftOdsNMhvRzi9kjXbamgwOnl2Hvmlpm2DIm2q1nOnosMVEOXxxm1x1L9qoDVh3X6Bt3q3CgPYT8 +eBfoqBuZjI8QPriru9cSGq1l8FVicYjYZSmsIB3GcztUgUJM0jaUrje0N4TfrzcPLl40qHU4tZn zU/6W8kgyZrOcYdNUyVBVOakjMnyv2kf5yqEo2xPCbfQ2UiVaTf3ubbsXwXIWLzaHB7xr488NEpA +tZmSZGtrzbXIBdNUq2YN91Q1RWReVUY2jVHEMkd1sNcXJnhOVVn2yGjeUQctU23e83vUn0WubF9 EWwzARiERYtchf0kpA4UDexqW0qCDA6gGo0iwQBXd436I55PvHAXY5K5vT4N+ajohXctgHSL3l2s zXgDQWQ8VpAbfw1F6b2UbnZtbu8OsunuQikWr1Z+RouWUXSERvW3dxS/axiw9RLCjmMQxyPoJYxo sgu79E6adrkzz/kYgtu61FxmDF8BgxG4Kmpi6VBYmdCi4zwMktD0NNl8qBGxeyG9/FDKyE0d7xbf z2qbATAryTzBECqGBoKlAKTIV+RNoEnR6fmXRIesqgzaD9RS9QHgpzPrZagFW+a4rrCLT3Nazu9d mSu1XHeiA+dMdhw7KxosQOS51FBfiUWfRmWbM+EUng6a6rXYXFtTNiGSoCYrt9E05T5Z3KfMBIby PwzEerQfljZMRZuFYqMioy/ZCSXnzMnujAzZs1wGxrU/hI3HpkU/EQ1b9sH4GX0JGVBBOHXau4AL aX5M21CvuAWZNud90IhPWEXmmnTXCy7OFUcXqoiUjwrG0fscCjtTb2+Eq8bZMNdP1hxBAkSYXcnK LATD6PQf4AMu4yMmrUB/spvWvEESpuRbdiU96e17gOUC3vJSvf9cRWHcI8+D0QDD+DSMyB9KuScF Vig2m79RFjGPRDs0hHJB9iUYfmmK8cA3Mb/koiRD5Bo6QU7Qnfnb9FsMsjEeUtb5+nKjrZzUX2mc RTiPK6idhMD1rje1YbZSqqrUTy06gRiALR7f1ddxmzH9VEfQEry4f83XG+O2EDhMzkYdjhUdqfQY JbTLNnxY+I7ggU0GIrtSKZnJZtykKvecy12qkMlElYqXKE270AVQTJZ/6OXS+7g7GWtHKvZC7kJ5 e5vNZkie7K2I+WopGVjbfyyDclDwqKo9W8tTME/5spliaGdt4OCzss0oPgwxdm/4cu3H/w/H7sIY DLZ9imI5Y6SfpeMWSrxCXXG3+KnIB1GxhgtFbKHh+M5N4Gl4rZ4rFBnlH4Jp5+OIDAqSHxwy9vk8 +hLe+WD++Btpi/y7IuVxMS+UHsdfzbEpJb7j9ffH6IfeAlekzfw/Kq9XSyJpWMwOj98dwoOIqizc c7S51IWE+XUNNk2MTRhBJaeqhFWUDKKmXru+s+3JSi4jQBYjtb5IcErBUigZv9+v2bOtDn4nIHvj gp8BgI+OyjMO6LP7nLgLam84CufaxnwWt1q/pvKFW6C9L7ehm3mhq4cSmsHkc8JmPgqlff7EuSCY ZaUVVcXUD2TEYSNQ0PlWD46jrUnlAx29JOgjYLnxRIlMHV1O4aCIPrpgr1NYE/A/qoHRtnRbOS7O dQTdNWnzOPGERfekA4Q8ZJRYjFuEaRnzyrXk3F/zHk7nisTb42veXUpvB8+6uXOsf/SvaQ4sYxae RA4GCSYf7IIXPfu9FnLHxndO1KwP8fhEVY6Rf3gIR7EUXsf4r4q+7iYRpZglV7RPCni1sxuMJbUE I42jEFFqngm1U9VmyC7Lneyn5wJtn6WNWx0Ak76/ezglnTR41GKMs9Tvkvh1O2C/9me9b1s4tGM7 CWix8v6qvhUDqcAoWx+4bFgFcvMr6BYHahm7gy35rE1q6DQlwpYPYx9GjaIno7pGp2C4hzhEb3wm NzPzlbLU5es28wrnD2+VQrobPPVa2B2n0P+dbyQGCRZys9FC2p/IRYAWgpGOVO37VuQ5U4gYGbPB pF3OOvK+L1N9n10pHvx7mjdjVl1dqduayCwAw/L1SsS9I4QFfbWsKBTweXEXXXhGuvdXgCdIC8L+ h4vur3LlWQ/4CPYGF8WiDsX1iKXYT8+zG7v/LFzYnSTZMJ9hy7Id50hff7jakPACz2+XaGTar7xE 9s7QwVOGe9hEo2t9Em/O5+Kj5Bqf20X4dKNRK1DEPAWKxpHe70ealMq8tNH5SASDPZwxAbNc8Xcn gCYmWJKJhX7cKQq4/UdOORh99T5NAOC9sps2v9VZMqTvsfA6AvaT69ucFjfT5X0zj40NmRRSdnZn G16900I4yph5PV6ufw56TZ3g9/WxNTTlpld00hmrRVAFfmBR3uxs+PSkWw/u0dpFDurSOSgDsJtC 2NXDeHIUFmkfEVZoIL24nLkNdX18KdDkq0+Osq8ed0el+2K0mgcOJXyp8fv6bIvAw/MEsoJx//Td xk/tUGIt8+qczSk5uhnaH7OR3coWh/0bCux5F4waOa4MojnLvGGjsYAonY0S6qkndsa9+qhZsT1s zLBd5ad/plTLLy5QfSWb5LcYnCw1IqR+S8G6Hj1Ky+7J6um3gr1W4K0DYUogjMdhmb4bP+CXGsb2 puyMWmtfWOGhQWFndd40CGskWY86y9Oue1HlxY2jC8/Ezs6OPl91BIKh/ckYUdlX54Zd1p6WYnxj fVjZM0DyuQFN4aiVrPD6PPgI0s/vOwvdDVYgRUQXY42eiHi+jtKxT33KLn2mpfAW4a/xk6uA2eMV L/uIfol1U2JQsryMWSHn953gHUOEAgC1S6pZeGk8wEG4aPwdhwO3nJ9EfnD+FKAzmuk/ko2AhP20 WhGm/nbrjVx44N9pPN8fsQ+m9kg4Son2cDNd8RXoAemYzqJujZym6JJN1Q6kAz2qLOt2kG92gyHv ysxDvnt99wjCHLtAvfaxgDEuUUBZYU6FkMld/Zqvj8TilvQY24/rtHeAYZaVKUmOjboRh3XeryxW NrVfF8TEBBeWJHxxkxrmoZfph2m6tRuJY1DFt9D362xDwDXZFBdumXOOPR1hfjUqXG2F8a+/hDcG iGTWX4k400Yv/TZuW9IulpUMpam4WBKlCNevFzY3+C+wC5ETG+C6gEJ19Htt39LZxhpVlOIeCArI rcczCdkFJjs1KK7wqJfcYHdfaMeNSWnmkX6TNp2+uYybLyLQGoBeM7TzJSEFX6WK6n8WlkfjIcHD AUrExRzMeO9N5DYFM/Dut8qE79f6MYfyK9v18v8eS5GSTuMkwmKmfZg+bK56h88DhIzaGSCNIvFC 0ARUmXA4qFueHZQ5MRca8HaahqjdIRMaZGQFJc9nz8YhvbXr38ht+3VqEC1cGSvjsVNTuwHIPo7F kETpMe6yPoGeAOMTguGteBg4bhAoDDYDMJ4O+6TtjHpERZtXQT9MKwWaADnfoJXpWTmG4FgzzaDT c7xpZF4p4LS10SI3WWR7aU/ZweEJwUtnqV4ijK2VGx8y278gC642VUagV3f5S6I7ryFIkpfiGsnn /+v3CWiSnKyK1go7lvr59VtLb82HN3kWmu/t0X4S4oA1ka3pbgzqtOD/bKc10fPueOvCowEb8nJR RkMvvKGcdkN8UoibM0gwJgz+jzsLcRYhys5k/IO5hFUfrGDElyPquTzpeILFcUZy1rHS0Jk9LMie Xg18sFOVcaoJec0tmaFXeCZtL21jCpgiSnqy3nJddb8XAfVxvINSmxS+CqoJ5Z2dpGBRAePzyvwv aouqRM/yOs1DLv3oYAcF965yADWuTT1ffKN1lbKbmyTx8Su3jLAyEeC4AbFW0mE8C1F6QXCXet5A GrsEDnDIXXmBja15PN7V/8gNyBarDVtC37vAc5vk530M1Jm0vW7XP7s6YDKIl/oJp45NqssriCrM 1zMxgXhYCAiz34hb1A2HpMwdExcUn8wM8M6hxDm76UueIg4AaTDkE1kwC5kaDDDnc/+fMOsEUkmv GfG94CMY9Z7axmvAxXJs2dzA2JUPh0mBELrD2fm5WB5B2ieo9p9gtgO7S9+UMKYdGTAOlWmKMeSF VBX82uwWk81XVjvFWIKKEebUThMsoJuxRoH3ctWNAZpW9fn9LzcoHisPFz9Lp+F6ihIGAKw0TKNO U5xfSbMDxeniV9IuEkGovZ4TCV1UPUYN7frEojrYmN6D127mI7dXcS8N53dbNIQFwNY+e3VTq+XW Pl3v+MKMyYBBAkgoJLYCRf8a+UeozV7D7rLNc/5pqVV2dzJUGquNUbrJY7BZIRvcc73/mfHB7GSG 03Xiowg0XSYpr8XU0lztQjgx9awXH4+gU5hNg4ktPxENitRIhwyEFAOrQ6PyIXtCTGdXtv7dJFBz 9qwh8aRI8j3NoL6BIzaVWDcA9gFslkr8UheyazVk1udQyYt7Py1SZoKNzcfYTY8GHzJyCi9jr76K U4Cn+uIJ7k2Yovu2rlpGnOfz6iwFXzANdhzWA46hu1+2CIwQzOZ2bZjzoO09Hjeop+uOD/SZkg2p tejk0ScJee1ahsGM3buAYlayslftY5WB6IuE4vFHjfJqg722xSacx3XYJ5sYxnp0RQKmoV0or9Aw 6N1L+g/buZneJLAc3GPN8s1rSnfnlhQkRkj0KkygZDlu5iE2/Wz/Yds0auQUdFmZ3dhdiKItIKXu 4qdY+2o0nIRNyAsvCjsuqGq0aR7B/ixjpSdrG9G5/YewyGptpjRsPbXDTrN5Sre4Uujn3CrhLCNv SjH6WQkTEprjNTXJHzHPZ+zYJ4lnMILyLbk4St4+TIubYHcaHR5sR2GAbxI9IpT86yqtBIt2YQNv cWVDHJTVDAgC+qbxduhXCJo7eA0QnJ07qlLXgD3Mn6HVg7VabstWlRw54Bwl+2PM/E8iWs6UwcxS OspDcCsNyb9xYWsTO/DBUnRm7c4YGkAYIG6GQOLDIneXdnmRXax03UH4KkP/sIxVt9g/rQFjPUsK 2RHKjQckqi57xdHC/OnBLezfW6VY35AF68RSr7tyqUxco0LHtJAA+qM/B+IPUXj/g0Wk9vMn98cr mG59tf7kxWXtqxW+32kFc6f45envsC4dn0D2WnLgAiyMz5HuRrMxXcBTsIBs3rCu9yyTCeRWRNU4 BDQcs/XB8Swn3zh7hX2QEQBtKYcv6xNzzcj/CG7zDZW0OKH70PBVECbbt6xOppXKAF+rnuB859oZ CxrFuPLKPlGtk4/9reolv3ECkV8bpIj2WNBxGfZu7K2uQYkRj3ze+5TeOvAnNYQgroiSZg/0UoSy iwRv8HSu777EZwXWwYT+zTwvj4H0Y4UgD/vWpG/vED94MkZQS/YieWGNcd+G/QsNE0UN9pLORoak 6UM3LeA7UfH03bzCpS8uvx6Nhnk2Pkd2XunjyL+6X5qcdT5eA+aTqn13jDCOu5ikSMYGPXvW08Ve hbYolsL8WwaFLPbreE3TWrM4Y8oHIEKVH9YODcMUBSf3JIw2L7oVz2RJeZ/hvNbQnZmslkshA8fo cm76LnOtGVMqg+Ha0N5cSGFdnz19stk/TOtFquQgzS0gHpBcKI7kURqdfEN9mgWnxcPYHWrC92mE X+4IUyd6I+Ccb1cQ6sek0nhRIsbanqolZ9GoSKk45yaVW8ZTD21ZKFVQ3zOthO6G8ENcoj5N7Cuq NKo06BlVxGTMBN284j/9qeItOhVA/1uUel5tNkjlskgIqKiFuHW6s7uRKKxWsdKb6PGSPGcoYazl XYSCkg4+Y3+CNsOUGODQgL1dhDRJDR0Sn27G2pmSk0yTPGroIq+GM53xUHv3IHTVVTEyQhL9R1KM +rrjl9DNVLUBatPLziTZJXBpFC5MToIjAL5SSMsbu3hKHj7FWwgX3WVwzQp0azLRIvtgOexJ1oEz ETyp+v6fP7IkSA0er9DT1YfzXFZRA46KG/mrXWmxAnwIQuTCJvYjIDcRBOfyaItZ2qeGbxFuSDKn /RDiFUo4RF7fGQmQ6haKuq9XdD2BCA0i+OXzJp1QG65zeY6Yu1s3TR68dDG6Ryil2K4vwcygQu3F OvQq3pgm5HYpxsXLTxhbkSfsO1xy/25QTiDQDawEA9+QkVzbFISkfYZSkA/soazWD9oTmUnQfA79 R+zInFgJ/PUNguFQMvmd2823s8jKIa447EqxGrOAqBasueoZTVGTzl3NybSUag1cPVGa8UQH/LRO ZHSdE2FGLUs0zjHldNQdgDHq6xb1q1zQBxTqELtkj8ToNtTgMbykbFUam/o+tseBaXKXDTBG0bZx 73UIxR/IEuVAkOEe0Z+fw+6IEy+zQCUjvbJb8fXk2TlMNTWtsZyBBrfc+G50Bo/G+UKK02VzafcL pEZDQD/aIRlV5Mb4PMeW0Uo+zWtDY1CM5EwneADuDAs70ySagSaAr1C01Zv32lxlJfHaSDm0bqd3 hBsZeGfjtBsb7QmioA9hlDryHJAR+yQFBaEbQH5MMYZYzf7p34OopvO0r+BH71M6vRFXSOcZgDUQ TwxRABwHqi+Eugwn61h4VbVzQt0DbzhMqDBm6Suq+yeoAgCaJUfiOvBHQh43w9YJnJk/DH3K66ML Ux+VKcr6fKvSGiQB7mhNH9EpWEOCFk38u33oZ1XRuDj93YVzLK54XojAGJjKqh0D5jALoH3CYBpk CuNLJ1HgNSJeCtiH8iSP1SEc/YWZZEkOyGLP39dpw47kdmKNg4z7CxpiW3cN3aXSGsmr+H5zVpXQ Avn83rKuv1hCRKHwHVaFThcqS8Y+2xhkZNAmAw7GQSPYFM5hc5U6qrOR30XrMkkjIAePxxJiaE+I npaUBKGxOgEQjlzTQ9eZFECfLCvymP7muX+NPCu2G+zfjo3MDpqLmMhYg5SyGM24PNU7k9KTAHqe CBecGhNBsN9ir+TodFqVPF34Q+WxhSLZYSVdJLpFUyTbwp0gpYJtPSZ2NTxSkjfEYGiVwIN3kRNn M+IMRT6bKAHw4gNdP8ofebeUq/zR5SgS+HmZ/PxJWyUItip8pjB/fEhOw4pFSMr10c0Nk/qO/ItO zGhY6Bk2DwCjktmRGI+tbX7UBm5n0lATFWTdtep6T1eXs2esaxwJi9C/tmjSQVsQtLkOGXO18tnW KimnPVK7HJ28+i7sjQAhBLuVsDrlEAO9wAjvTRkO/ul4s69R86z+50O3hBJoG2KijGOc0UkbGPKa em+bGbnSWuVRPgnjJB8gLdmuaB29p6j9uGO+PYI0vsBAh483nlgT6PyZwtXqRA63kzZr7L484GNh bDYVyjwso/eXnqJzmb9KTyKi2sctF19k6bkUfg2T447JSqplh4mJwjsMq7PCXcL8SZcYUxaE0gH5 rdbMAAlzASxUtL9LfcUMpuWGqFwxUPKyYmKHXPpcpxK9NM3T3VlQrsnsH9AAqAPDMzkrhN/9meV6 vmA6jAWc2MmyHxJshp+qqch9jEv/aF/GRQVY0Tf+L7Txz5f+VuIsWcTgfj9dYvvWYDgZSZ3kBKPT T+b/2yC4NXFJnu8zS48iSHGn97Eck7cAfOFDbIQXPzke4ju+C21vLdK8YJVJ1idtQhosy3xXUKcS ityXJwj2vRDJtzm7AGWrdYfOBuaghqW4vbzT+ZqihKPd/sR1uvhjb8zYA5pQ8pbx3qjLS8z2lkVL I/9vpw2oZtxDqJWiiuvhtgrhgNWVK9lUSfJyEUrsgliIklvYQXAmz/a8IboCMErZ7s76sF7r7g4Z oCnDIaMYLexhMBpDhXySAq1wOgmjNLRsuIL51nPz9z5V4a7WZu2Cyj0DwmTlMQ8W9w24C4oEz4KI tgVki7TK2lgFezqRptgCjvY5O941b/v7D0PtvP29kr7bJSmbAG34VF5qQZs2iJLvqmXl0BI39CrH mAt92xotQYuQV16aOBE3s06TdPRvIeW2vI9EtbvGDNu1jDehk5vApNgxhBrUiPpd0ICe//+49AZv e2zNQwlK9dnU0I6Q6VdxmdEEd7IVvW8SQwM/1wFEQtboR2PmBONQDXqLo1bP9CfPZy5etm6qrwxi hcOpy4jlZ8AQKGVgoFXqfa4DQx4+cClyIFWt3lGIeoHtNQbg4BVA80PBRkhxgLPaEYtPQbXU3YYn x+93OvY09aGQ+V73Mn6hGQEEkMxdhfxly9SGL+Ty/a2K/7unGuqG+mqwxVwn/WtiMWvXvKoY2qfI t2PeLMjHoRprpT8gDlFhQTk/1JQ7V1rK9AHFpDFC1gcxMKscQVLL/9oNVYu/dmUyfLkyUGN7MSiN MUDifIwlC5gSnnidjixS66xUiaj80eLqMN3lNthz1hihW6dFnVAij3R/QOVpV2duoBqyyl3dCK6s lJQNCeCs5yDL/I7HTYGvY7AKLiL85EsOHpP9dguu8i3CNTQWr+AFmo1yXPCJcpzKEsnkKyNkcjZb FMGgugcI8iYnzoyWgsyKZbzcN4ODOJVOhg0+YDABSklr84koBVx2VEayEsIhKHyaWV1qt4hwvY3X FuQPJTddM6hFbJ2INZGT4pJlxPEeUlb926bDzV1nfeGeedYno1kPkTiTPQE20k9OavvW0McdgTLO 7R5Yvz9M3EJEDZYpaJ6SiTUIS2twi5TXPNZZLc8dcvd7Ws0QYNsQLjM2xw/jPPniZOsdtIEpXQ/Q vQwg73B3CFJTScU4L5NXGbdJrHNQlnHVyfBnANIkzbPY5L9h8PK0mcOrZKqRArZ/Ga1XThvd91/E UbNvieK69/vi5wMZu4avXVFLewBL7hSr3EuuqpvbXOQmsLBHLYxIbTM/XaklmAbbxWZkg+nRUc04 H6VJKTlwAb0vWPFUYdwELjQunS/LdiC2GsS9LS6o47YoInBkBHkRW6upSgjqTqU4tvdcs8kLooC3 9IEuANVvfpuTpgwuGHaiALlXAOqD5WcM9i9XJ8ynff9o1GxsimuECE1OPsok1dv1W8eAZ7BM07g9 Npi5PyLMhEyoBVZP3HWFZFibKPPU3UN9JejeDuOeCFOC6S/6AOqlAXxbb5dffSNYGlJ9tevSpM0P 6CrI9NQM5kmlNOI7AFx8axRf+u6l5Bmt/SbOHE35d1cVHQaUESdT2fPwZiKk7QGT72rsx24bdQbF ejKi6oj2TjI8ycs9LfAfZIDaZ7dbll9yRs/VCcgI5IOiJH5dJYmvaNXXtXEyomrPc7T+StpBJTHq cY0RDvTwcrDArofE1rPypG3x9sP0w4QI07SC3xx9mT8YpTTNNA4RTm8eEPO31jctGPIF7BIiB7Nk f2+wIQ86sQuze+BnQcKfc95aNmUou+wbTd+mazQf7lhAhf6yRQVE4+LW/MKAtw+v7hsjO6vkyMb1 /z7eR/aANV2OkhSiwrvg2r+zP2MKT2DiO59yNC/ZE6D55EfGkojzX5nizPN1dq3TGU+IV5U3x7AD NqS4k7q5mnDgl5c/IDxjNfBmilhTvwx94Vk9yRoRMbMt8G5eGG0Svsm1hD48nx0oPaM+VxzzEQQl hF5kI946g/0SWp+mpMb+xEnU3TkTJLyoQRyZbLbzR9m/sFu/y5FgiLEAt+JSCWBFs5x+mkGLTg+f 9Whp2Vvj5LXzW5/urRuvjf03Px23dTmn9jj44XB7HWKxoWbEUXGDmMleBvXvcGxtJH54sZ4eWIwO 5fC+9Sv/2AvtoJMw0m2bDHTUBldA00UYc8NoAjRruYPXA8pWZDF0eKXAm2YI5drkDd2yvTqu9KeQ uzkRIK5p5U4G9cMmxmRVu/8CiuUbUou8aRkql6JLEcCPSF6A2IHpQH8yDwLc1asPGiTkcCTUgJSl WY2rlgezpOKVPynrABMUYpFajbytoB16Y0L8Aeq4lSWA/02uxsS8dvLbqrzIM7RKm0jUs6TYo4GD v9irZudOQULh2anudYCWhiDzi0Ll3T28r1rM4tliB2KQwVtETzDjGwEjW98O8j38hRbcsj5yhoVc lisc8ThBuCRJ7qpS1EEij/5wEuIsMp/gy9YPFNkKf8zvhB6+8BslfOJefVx/HcrpIIdoNzAxrRRs cegZEpB/7BNe3Ogg2wdbONA4yQTOF2luE0FVWY35+vgaq8+Ux5gChpDCbhMDSU9OqEijZszOj2dd ol96ne58TT0lFYJkUE86bKZc7I6GAd5dwwnZsy/bno+oEyr/Lp/aCT5QJL7Hp6QbsPP6WNAkUoFC EPP5Gzf1cZSnNA9M3nWkRh2LDjnPrg6JSR0fKV0RfQ8Xw+mBwQ3ObTgyx3ju2A05nMJZxbQfwK63 x1xyE6O5O6pqzfCfvlMx8fODIir67yZNl1+/AQ0YUldMSZpCPn9drwiL1HxNHdXtr7oM44iS9Omm Yo6cY1Ft/uP2f5UrW/bNjTikxDHSsYUaEOODClpMA2VaHUzrHtDUydJr31QiqpFi4kmhpj9nvBZH agmbhz27oRoRERlbF5XqIZJNUGLdDd7eP3/wVfLeO1GbPTvQd+Sc2KagIzrlcw2j9lOmc+mMCj9g YZvcYdKNTMVdcxWbqfjfmmgNfpHGs40Aa21Fd57V6LTR2lCsA8GiHUp5/zYQauBq6hJ4t61BRVxA zOuqv5YBQIhP7g3Sap6zXtE0ddLcSJVcKFNhBjZoAeA0hXl21Al2zcwklZh/LdG9+Wa4eUkca05I lhGr3oI3RMGjhzF1qvh/OMjw878T6AQAzldxWG+ggJ1sMhQYwh4Ab1GfqIP2kwQJIYzyj2t5RfeM sQJG7ZTa/iLpHLZxTxHUTFolsJcGnFgQAWE1ucwLvRiaKTlODEzu8PeVoB1M2wjxQDpdgPjXpBX3 n4XgFdnTy7TBGRzH3yXHQl4/6lBFLFaWuHBUjw1sHgY9NS/Y50ceCRZCElcIbgv09wpsSwhIO/hB HVYwMaKqMc2HFGHGxqxNCuFvErZAzQfAURcDueBiVhSlCsrAeNMHJaJ+7hMrY0Z6e5y3v91MHL63 yoHTIr3qg8vkS09QuuZqHwEdjKIMlLZaJOXDSGODloi5wkABEmwYeATFSGkB7R7RY+ObF+WN69E/ 0ivABTJTIA9116FLhT6Kc5iScxJJyhG8holWT87IakqJQt2tUXykHegUXPvRjjIxcg1uu0dY/PnW YlP8aX7EHKJsp+UddSnU5BxgygnkS1FGoqgPTux9taE3iNL3lUbavr4KTgvznkqAb5SCQAKIX4s8 urc+qms1fHRjd3KQhKHoDyihP3RZGrHPhS7lNWTmfFJ3c7w4jvmsEE66XZOjGUyt/fc0LNSiamEU Q8Z+bvxbaQCSg00Fn3hh5BqWkByhVUGuEvCKL1Fx5+M3f+bAvIkP83aAYrtLL0fLzoTrz72yX90Y RDvckDH1itjuQo/EJhjywu85yPXxjsO89+Gu4tXPUdYj54nQc6kkdsy0wrvZDu7SGdQZKmlxj/a5 ajY0m0qQ8dp9XU+qe1XfrHQX4ZO5zGTa2y1mblzg4zV26I3TDMySVcD+w0csS8fr6JAyPHCtY6wk zOf6F45kflAvVbwVhCyzUsgX21g9O1/nXhWKz6s9UxiC2/Jme8sVqdRJB0C0gbl6Z7m2bQh0tFO6 67PEE7+c3/PBdGow0GrtgP/r72vCp3qAhLce5wN65c0nLGelk3gy4rwpu5jpghDssjpRAlU4JXfL SjKaW/Swu414J4dCJAM/my6BKgkjutwwkdKdJ85Jim0iILLDdHHp6x+BmLimDg9v0zT1cB6lFZsi yfEC7CdhdOCeTuU4M5hNnR7dRrb5QWTbr8rRSEsZlbnXzb0CZxnXml3CutsD/zHnS8SNchGKcn5w n/O7DKt37XBOTkDVAVOPcAGNma8arMrl2Lu+HWjePpSI6KjwnDm4aaWJ7MDoiO2WeQ9s3XBCaZbi XvPh0DcudKakUNPg3cC7brbkTapw+/Dil3vSGj81xiOMCIFNvNqq1a//1d9JPv041wskmb8FKSxF l2jjj6y8tFFT6co0Y+VU5/KF9S5gFyVYGzYeOxOJyOYjRkqWGpLG1eJqkvzoPcyCPvkVG9vaUWVd 83FAoTHDogUsokoJGVZgAYbawKBAz2f6+P8wmGyBFYgsz4/cFy9ueXaGbotPirYJGWZG+Z1TXig3 TpdeuV1TMveRqWg/w1UeI7a4m8wu10p+J4KcNxHGgK7mZC816iJDWljRcue+xWsMu3hPni6lgXku 9QHb1nm9RTZeOIiyC+fnURkY+SXAz+0FmS6xmVu3/nREZlLqyqfjMvQ/8srTABChZXaX7qNBpWyU rov5KKHt5Oc7vnFRfGoRGSfdLL3f4rDMXSa+qhJmq0zGCRYQhzBDj43dhdFSsuo6KIV9cn2RB/f5 tuAhnPLfP/4aHKysXE50sz71DgZmQsQ3QzOdP9FPBhh4KrcpDTcq0aTHogNTt6tTehDL2P5jsHEg 2kTPppES1qyYdxCrM84oHpQ1C6VjYUNpVtSUb3FEqRm3G1jQMVP4t8m7N473fu515XW08M2FRb7s fr9jHEIb0ZrWAqD1hDjpFlGMcpMSKsSUn1mZltKut+48nAKMQJQEeSt2Pm9rL7DJWbpppX3KCriR TZMzrWpw7beLmBUfVih8ZyUcI127fU0RiDS22Uj3UWY/K1pm0DWndU1a7276D7uMVr+xnW39TNXL Rumj8onNiTiNdFRhOlWojTqwozxxbAv+P3WQuhHDU7FYGLx4kGrbdMNyCHtsRmoKJiQwEPoH3r0o Y1mvLjfG651jx/N/u87JFHxQUC9Ip85xFujXxO4rs06S7Z2Ob0Sd61m3KktC9Yuw7D15qIN6cquA 205sfl5swQhUOCgWhGox2zqvzgINBEYBsMDjilk05xG56gxww7d2NlLIPNsuiglacwuiMrtXkRAk xFyh0dRwhHiXERDu8kLXcmFqlfvJQmtitgyN9kPgxgDQ6sgOy4TVW8DFc4IwA33+8bJwUEpd1VfW 4curpVF60C8Y6OEfu+vyS6NufE4b2vzFRISK86BO7Y4sXuAwqgfkLp/6xWEBQX2U4R5lXrT5FRYs PmeP76EHEgmUSQQK2gODNeKh2w7/RNuliITnhemHcsviRECDaJ4US6ZovcWuLtAhWOOBuUPxFt1n n8C0AsHzCr0qbODs6Hbiv99VCw6in+6RRf6s/pCU0pQROU7XsG1hyBUmTCiEHwfC1lQI5jEJUKax 4vmBZppUFcurF4UgPDnK7Mwfz2I7wyfsy8xF7ySgHpHoyR8sdMjCoioy9i3rALD87E1e1Dv2qjgo 0LwCpZxNg4dsjk1UNOA5LID9MsxoY+cDFlc7mdG8iBafrVAXx9RMbKqCc2FXZHI656FhDYm4oB7R WSMi23QdbBwqGE0bvyQwMjn0D3jeuGi9f6h5I6NN4WXRn79gXREv8VkAHQa+1aVwutQHyY7O1z0I eYUye7bthD8yDcmxQYVjhQaKdLhwzezU+SEh14Qreea8xlgAB588vzLTi2zMlu9IaRAsC/HMHQHY CxuwFgRfaWTVyItDbfjmP7nOCYKfhCwmyD0mB/pzQ4OUW9N3ptfsMMX/WsaeORK5cImWaHxokO7x 7Lwp6eHPlkB5gnEK2LTluu57Fz3HWSdpPfW6OTKnhEo4BO9KL9C2ZRN4OyqzKwMADBpkCByDSkks ieevrV1lK90M2KTUeCcLalRhifXvG7MaUriz44fyxhpWxGpDkRnxySYWggzLe3q0lFS2N4z2hymD owKBOkwBFrwE46BboSMPK7tb76jYLhc0SnOuTRQ29t/YAXjaqwMh1lu//5da/NQmMzJs+51t9ygw g8S8/pZpbhSHbi4tS2hzdJVGIqn5xMyaNG742KAAmFxbfo463I47U+VDhihwMPqcu41KvKieEAI2 ET+dLY79OMlS0foOfn6UmsyNcgs7GtyEmyscdVuTNUejqyOr9OQQpG9L9BjGhMgaeBbvDV1MoUEY x9TjcfzwktKEi28dI8tTz0EN7wM9zqzwSGkfnzUSF/0myW0Y5N5lQR6FQ0ffjyd6cgqnEBoIGgBl Pqh8CFbTWSyndjR1F3WT2rVCy6wTd0hsko0mVgPCwOS5a+LPban8KbrPvfyqUPZm3gZfrlyFDMM1 hP9sSjSRHtdJrlKO7NGESmerwdXiqZzoduYfLPwufZv123mvV0uPKMrzo17i3kZO44+KtWihTffg FzKqFPTIXSTE5DBAeyEw5jtUsHcqQkN+z+W9eD1jL9hHflAle4oXLqP6QlWQfIJn/MXBUgrsbZsV gsEGDpt0ZrYhyOIiLBSAF2QR4Fpar4WuSCQ12/WkO/ME9UsGLdadSkjiHIB9mCyOXYq6WSBvc9yV t9w90lPtnlcSYlwmgyof9bBMIbOKAHpTtFmfL+rdZHgcI/XNzAOEVWQWbzgdmxg34OckeNKggxFt SLTGiUcb10nbyqqTeeCH1MT0qvjIpNRsJ6PZUUsHGE+kW+Wfitz8/jD7fLoe2KNbQTRzX4wYcEfK Yn9OsQc/kwnxtFelWyYpK/rrHoNYaHKeV8ADSNCHgvP3SnuoHCF7Fl5ddDxMvup+VaMEhWvTpOTJ jobK+gKuaILnwWBOHxyqmZPI+H1GZF5bPyt2QcW+iJ1zKkK8e0/UTsJhmnR6CBbeeg1R8WR9CIvt KccSoH5RpWJ+8uALinHsk2Wa0NpW3e/gco+pY0l9uKIVfzwH4rfu2DR5hgHXF3v5yqoKYF+PLImo NQ4qi1UV/pUrg27MIiUFwWm/kPPtwGY/0xIk8BSo3+eHreNZRpy3VwUKdjKaITu/RVD/4sgbV18o scPs2/mO80uMlqoVWu02zNhSeO2q4lVBZ1O5AizysHOjwvsOdhYJcel4dKVuEcc10C5Il2AgBOTJ aShT5VkhdCj0gILnLIbYzLbtutTVO+eZgMjN3a3swcPoc0l+9UW0897fb7+m5C1Cojebb6wSD6zi 0Jl5Gwta5jF8QJSkdtPfdL4hUa85fwctTBJke9MK+6LW3W69lpY2cX5Bkgf/AdJV0vwagv3NxZex R36O8YqP0kVb5SscPz7MxWgrWgjcYyZAY71IMTs6KbAOW9ecAe+Qpm2GV9SllKu30wMVmfjuTK0G HqzvDDgDDg7Bam+dVU3p6dKwBLXCgBnpCqv/uHn4joQNZVhzPGwTNI1+hB4q+Zr4pn3tOQs9vrAd /WhthgUQSRSeHrj3nWgZjwjvXs9kBIsKhG0zrzvr0BRFPcNDS0SciA9F+8XvnlCFLToaaMUg50jR WJbdUHg1v/aHBO/+1BCHNHvPnZnsm7uXFci9Jtu8RNUanHeTIB9v/W5aJKqoEHr9JPOqYrJyTgJP LEdqB6LpyLFhD4qhRBFIWcPnyBXnkvXdmOrI3gLsACH6DFxVZ0UcKszW3HUeREhV5Vjegf4F15St 30OJBPL+pHoXN57KkP50gcMHyhMRw7mGTNJc7JeEbxoUH2bUV9RZx6lIhu4nH0J2Afbv4nyQRUVT WSic2P/fE/64ffeteEv03rSgHTeb/kKm6pvAZrUZATQeMkjgGkReWogP7mB2arqijQPybAJP2vqy EB9vOGOSIvwAMlAufWQQvaPKbE7p8bETpypVfSicZ43/rr4MXQxgggnVe19qi3WNWu/SBXytDE2d pvHHmZO3MBia4A96yIZp/TSDDzykbeH64rgZQLcnAPh9MAvnOqSfwohLP4biSZlTWN5TF8X9RTNE AuiLGuycS82yxV8sP598k9PbKddFHOZGNJrTlQ9sonnvmVxYc6olK/4x2zFu4tMBGFqOy8Gl2VWK WBeoR3LI7vA3qxttEVlfit0nIaX/ucaGE5fPfW5nMLUbchHSAqmLNSAJ1cahNHjDVXFFCbEZo7Xy RZ2pW7qkH9T513qkVuSC3S13c6QZPADoKIgoLwyMETcroogrgMJafft0bW8D1CaKSSGkMfdjIuej Ks/qu6c/1YJsxuleMGvxmcYSCUbVunxgWagRFz3PbpzJmye0gcMYc4YduVYmgNjTx6On/ICWa4RW Y+LujDaEtxm5PDCwypUeVGanaaF/mNVK98PjO9iVPSYu874sFtaAIQq3cwFFob1DDisrMberBK42 WgyQOqIn0YMZ+M+wrR0U1J5yzlyn+9SQ1i5aE24ajc2868TYFaiZeyyrNH6zwrPDVzQZzbXvJnS0 leAeAsP2DLSjBOW5CS1sttlDMEGmSwl2VYUiHWDGTbHppcmGgrKzNrnZQBPyNza+L/U31fZBvnU4 NlIlzn23lEGgVcI0+IRAqY0xrb0LevfDCXE8vH5wW5OfzOgT79Bydq2nzHv0Hu5Et1rON4EJeWHx lnudjSFK3H60zLaxhO9i95ZWu3n/KaRKxsf6jPr6SIEiVBJ3hNdQ/uj4ltxfOyDZbRBn7Q7sEOQ3 cgOud2sa47iiQodBj/NrecZRd4Y1jOCEPH0blT5zblZO8TWHP58GxJw6EayJYg/4KSCn0TRFt48u 2NWrGlYHgwB5UJV5eDVSEFrVR5jdUvfXVyPchEkiEQrj/xaaFQmC6O9WA4kEo+nNdoFRhhaLiHqk rBkoWDySt63CjAMvyhyEzC5fCQcVCZK+4f1eqwM+O3M4NzjkMUjQwpB7cHahnrn0XSV1JFuqMOMs RqIRIdSrMTowkmgZqUyu52D6Dni39FZqrw7TaZ+OryIC7UNncmqomnmyMCVZYh3LmYP9/VxOTbGx qtYwtzAIpqbU74Q59YzHe7jCRa2YUS/8QCKqQsC9TYsBTKwmtScRnjrcXG1xONVMgQPw+C24Zh8g 2vRFjhiK7lB+LVOjnMm4d1TIKWcSobDDaJO8klcH/EXn3XEgQrYk45CvdqcrHWiUBb28EZ/Rl7AJ XrkacXzVpRaxIEcrfryY0jB1XVjDNecSFC7zlgKsSF965aB0HKo7pSKKW2UlFDunfKqYrrRT8utf LDkg/wEORwEHbZ/ui3XSdDGeShZlbv97c37+fPDG8y5osU/0rQ5foHjjE6BMNTVOePGgJy3k3VgO EgJ7wzvL8GdXoyOySInr6bpV4eCXhWlAi5ssZdMjzM3rfjvzWjkuujK3Foc9vZ19udwKEln0f+oT +FmIUuWL2XxkLFj7y8G1eohoOMZ0Q2AkexJhxvhT6MwhVi/oMveKlGvYLX06opTlfPVyBscdoc19 xO3O2EbFI2Yq5HK+hhoGwhasYCQXor1lNaPWZMwxSSBqFwtma77ABCtjKly5vF1Rd3uo4TgiXf2+ rQ9o965EwARmmGugqL5ZY2UDV8Z79mQteTvwac2wDS7V5YXprn88YrO6pEBI+KKIvMSgZkHWDQ04 1HoGsOc3+D99nu1FvrcmQCYj09ai2ykkj/2BlKVdflMrPrBoQHY5ybhuAcsa4lTwStwBV1jJhNzI 0Y5YWw5MFagFDCoCPqBGOVc0ytas5FZDZ5/u5GVm8SKntHLSNzv2TdeKvGta8/eEJD1xoai4mcyr qQ0FlKkYucFRpC83UjE+IsNZi6T0DdXjn9vo66ClJkQbclt3tK+4sjrJwLxT+iBzFtVoiA5IlVpe 8AYkOAVIH3e6flSsOGe/9R5tTpL33edAu17FFxnyLYjkyCA6gQXoXjmGw+npKzV8xaxzrnCMm0FY btNqI3DhsKGn167icfXYyLXAScDbH7Pk4Pn1Do7YRz3QkezMGsfZwRSgRypsdje9U+9XHrjkyJof S+5GGv3DYCzWF1B3yJHtOK9BrMXNE0DMmea5tL41QFZDjhgE+cvWq5JaOy4VohQFc2Yzma3wCdXe wgVoXz1/pWHUv6nBepNTspsndRnQknA8XtxIWqc/t55KVCbjMvDiz8QLyBuSKSxBYMF/BuJKnVvt H8vYfa8LzfBTHu/XO+90TQl7IGddX7yjhDFMuCUnvxUR+UIrpq2wQ7OW8qh6S4u1QLcz57fc7jD6 tYWNhw17OVfNSd/fM8buvqBz8DiT2V+LhpSbR/qsB74VcxEMjvpHtqFvnlUx6uP1qwBjBddU4F4a 3ZgdexXbhepE5zPpag+OWtQC9KbtC8CxgEEeK1AQUpDIglpcy1jN0er1gYHn8uS/oY8J/QJNhBEj x5L1bLR/gjq2Mp0iAYegMyBriK86mXios2s6QB74HYH40UvIUp5sfa2dOUyDXoLFKt3Wgf/LGTrZ E5SNkxlh5kVxOtcInPQGVwyegjhyEpvk3Tru4oSh9ohsmtD7l1A6lnEMQfamyl53rZG1j6uTCPgN HUMVClTIh0pGEHOyqjkyMs8I4V1LJdkDMBpbVpQQclsDAj7tafDkNwSOojgfr/GSduCOJtdbV8Di cfz8oakBFTNKXG2YXCj2IXUpXlnLSMUzEy+MlBEa3aBpY6H+i7EQMP8JDr1+cnBjpDtqTuk/nnpt IPjT0ANN6R/IFtUbvdLjFzd0dBTFOU+OZ1XYPEJUByHad+iXF4M9kO2PumKKRHyA0yjBC28w1mXx 6mIwDAghR6DYb/FAHoTw4Jft41mEln4xvSJje1KH30rIBVV0R8D50wCEm0XSgiT6em3R0NnYEK8m NRmolHimeHYy3o4QYD1Ak3S1mCkj/BzxlTaKcMlppeej+0HS/C+xC7n19dwFh0bXg9aniSk3x+H0 mEtoo8lh+9nm5NEDcDcjPT1xKHGgB+3jbaw32kvf4tXiizcwWIr1diOXKNnl+kjRUXlaXIbs8+H1 aNBePlHjx9knq+C1YXhx/WfIvIy4iaaOyee1EhFg7L8UiROtOZUKMk8ywN1yb8uhLECv2QLpNPqi siiYWI82vYC62A3aI++3QBbCpGU+fwkiBUL2RbtcQvs2Piw7cxgRxY18rftzq+DQGcWG5/e/+i3x FR2ktNpqav0ChmRnzTzngFc8u5IqqXlRTTRfbY/QYDFnHemeTh0vBsRXgG55pST16Tqma3mCgpHQ 1ZgDoIBo2MhHdtsKIEM6ub+Byl9ApNpt5JbJV2t8Bw1m85iS+rKkL9G6/zUFCM9u76bp6uR6f3Dg a9LuadnD4Bo1c27r3nqu/gtvr6eJ4KUloMxy+UBODP406+U9xYzeply3i79dCa3Y0anVcGMrcG6L 9wRYprlQE/Wmzkq253ondhG0+00UW9YppM++M0qbjd4fnQhz4OQ6lEV3bCuJmpoddkID1sItL0zH RZlqcNkrRDnOpS1rrteJmjrLrdSsM6lrnzwvh1EX2F4pTql7SqOQwmRTRM2yrE86RAO1T1I7UpYP Po6zjD28DFqCcB1IhXTfh6IshQsS5Bm6+w7zbEqda+8DLAl/+zGHyCHu17jpEVe8cVbP269v+TFB LySlJcxDoxIsvy7MoXmom7xSqQLoJ27L9He6VY2vN7jBQI9DOdViBz9aUIjLw6hYWRN1QM2tas8j VSVRtSnCc1bFKdJktyOhCkNOMJLQpfSqqPf5HCs0KOYwvcSC4GmDN2GNq3XbMr/STa9Cf94SPHn2 cZFo9yq6h6Kyu4uuMqecLYuTGvmWjBYYsbbp1o3uvYrc9vbrpPkj43VHzp+5fJniL0+DmW9htYFi DRRFK9YCIzi1Cko1IfNX9rjREDErmjhhsBsr9BhS7B+/JL/uc5oFIv9bNYuYYLQsKTeGQ9M4na8C fIrv4SNYDYYjCNkSqek7b5aI+e79ehwixMbwbCDG3LxhRWioIC7LSQsPHzvmxMrDZoZP/c7N/pOP OrR+PkFza4i8HmVxSX10s+AMtSxjWmjNHLQwO4eZNBz7N8dL5B4bVs+gXo2op/ER0L+elk2XsQnI 0xdcGlE8kPP/4ohFl8d2iiAoFEyVddB1k8YzXcrsTDaf65WVqEwTpxcXJbB5uv4B0P+30Wd9WCbs Cy6yoWnL1foNK6Bg/YnP9Jo80GMHF+woZVCBNbKjIUSmYDFz+LzMigdeISjp3SXl8hjdyVxvNgU9 xQmplWorKayh3iakX7KXguQLYsAk7GIc/Uuu0LCxEvAAhamzhp2gu+Lu4Cefp2+GFmm42asmBsZO lcHEFn+40eE/7hLdLMCIYs59C9T6OA/Y7QV39Kqnon8v4hz0E3vaCposWForTBuKI+epumA5npUB LvZFxM5TnlH4oh/9ySFQxzmchmafuvIs4SbiHZ9b9ejtH9oi9YPyMRAAmtsihtfDjECNcbgXDDJY /1uo8TkER7r8idFW/eU2meQ9eeq/MF1jhZlgiSmiOmq6mYoZhBjH+wm3NtBWmeUe64JmYjmJpeUm lxAivbred5WeS3MdOLrvQ+35WARLaXGjkS5CMCSfi2l9M37OvL6S9G92G5A4fBMDyREz+iyrkC/K X5ABUXN58m5kXYMd0J8eBOz3d3vCcLs8rxLcg4RIvXHeBgLVT45hrShGTBEuobVe6cIUR72U3A54 1nNqmpbBztkwhHQTtIkg/nTTPNthS2pMOSd9hHph5bGt4nrsbWumMLg2wMs5JNTKEo/xyQxgp0hE C8PBH5OfMND+Kbz/1rPotQSkwRJ32yyJbjFiL+aKNVMYfKW4mC4LlyYCq0BjCedWi8cWjJBNXX7o bHuaBOJK1XufrlMLnzhnEd+StUpv/hhiiiVlXxA49CGE1DHkP+2PqRqu1ElgGlXqaquKIc7uoDTP V8ahAFgFjZy45dDLXo6wzago0genwEao9RZXJ5QalHlcarFldqXj0AFEgs55ZxTCsYqDDsabLKFf HwbL5gIziioF2uwLCayPoqTXbIbLnz3sM6h2Tn6ff7ezPhQhBNLraBhXiLrmpkYa5NbXuCSY/W0T hsTM/7f79bKHPaXDh9Hg/c0iWQDgTwGQlg4FuLsUS5HV4Pfyf6fd09cjA8rm0aoTeApUhD7V9U8N P+SgynbRn8zgXtf+Z3seIjS+FGxqwWaqHtLX/qa2ZEmsJW+GAG7Y6Ca+IBNLCFXXl3dVPwk3icJT QeM2mucTeahrSBwpBk7Xsej0uZIaHY4ZvvX1foc9gi/jm+c+WfDTw/GdZEmBrER9yyDacIcpP0fi EhVNovPv8TmD+IJOssr+Pktc/OT0jRZP2+R/rAYBMYfnhM2A+Q/TyP2YINZovl1jkOB/bP7dts21 u5LfIflvrsz1Rb12sRZgAoQyA8kJ/Nrv2vdew4v1F3dVxmojWnJV7JGctYeEfvrLdGa2MUbqe9OG v+HxooDnroUzIwpPl/v4tddfCBcDEZ8XGMeiPUQZZR40zubhVGyfsofNyobR8epd9rDKQeEZ9VHA xYDGDxzbRqAQXKDXtTxir2n8ikTOfiNM6qruvK2ksIfVIJwiN9bD5xm6VTQEVqskYzCxUq2BlfqE UvIdtSrKXqI89biR8GF5obQaQqr25GqwHYt9Jw4hCHQuyTIdMXx6bex+b03X6d/p7gV1ZjpMlnaq vxRuxs+Ojz15UoTfhmWdcMJeMTrgkUQDfOuS6Fsh1AKpAa6uLBMIFvXmR0fIrj+MsUVm2rgWwJVi eRMSfU+QujsCpEoTnROQqNDVd5exvtaiZzE/JGGNy3UtKMD8/fysmMSaec7CXFFX0M8C5/Y3wbnI G2EfHEAGX5aA7Md1nyCUoUEWns4UgPXfcn4Qu/r1iNRgCngt3QVOTBFh9MWjb/WFJPpf+NC6AHgi ZCKnjxl2EDnkFH1D2jgF/AqHaEwIHs8Wn+Ak0Oswgwwdsd4lDIN/K8yeQwZYwm2qfMeMTvegyalb 5Ud5g44MY+qwExA0/Szl2yqr8EK2g7n4VrwB15keDZ84VJmsAnt7xCqlLTgbRgnbOOclkXg59dtn OpNtNBpBATf3r8j0cpt1EbZeeumC0ozMLMUEHc3uGBX7kOfY6YxQ7HrUJCkTpAbaVShJaClhkNIx OnW7+Mitbs73n2+h3UmXnDvPPKajMoK+dneSsW/74r2DzMkWMG1HlS/lAFvXIAu7D9k7Co1yqk4e dindMgkEuR5ku5/z/kclKj8QRYQi5s/RPpLEOAH6Sza1yFNFcjXNBYNMHR7C+JdljNJArWNGHUhb 2TGJTMUV1k4ilZPAHNRveTm77TcLpIh6KOyKq6FDqOdQCLAuVsDuRLpjtjxjfgHzNfd5s1N6taHv AoGQCzkE/J1XS6IBfyqkNV7oiZPZtuSKLzYrOGmr/vfwBaWFFR2IiyhYuivAoSiYcjiGbzcB26eJ yaJjigmljAGi128Zbbx+fpENYlg7ENjKFV4rdug3JGrukCTxYGom3WhrOTVu0Pr8RvjGVCCmuNws CbMTg2bj70R/hmuRoBRr3g8g6/mxjH2igCw/9mvNgRJGxaNgm3mFM/q1oiy231f+djYca1pgquKF Asdy0m97tM7BxVWD4DCTnVzW4KbGVodKE/4Ikuj+EFMuWMeRR7pXNrLVsDpUtSTHcFch8CFck364 rXYscS8hs0verH9Syubzq2ovpZQmIgMk8A9KX/dPbaHJEMB9X/e+/Bu4+L6sQkorvDF9nkcUC0kQ PZLfnUr9ulyQx/UKmeDtUup1Gi9yGq3QbsBQ2qhHpfplTqCIbcT0MZ+zSfokUhqZgxKtYm/ovSfA n0p0ciNP39lYMj91HgWdG2HJTp9bKM6ZlJ4JiYMZzk47TBtKH9W8VyIcNNNozq9lVB9wkTQF0gKA qt08KBYsxjMrfKqaln9e5vvaLbCp2t6RMMnp1Uvwfz/F9feZVyndJRgdG4kX1V3pHpwvcjgEEGHg Uo9VaArSIS45Fz0AyPPdmo6mK8omJiuJ8WU0N2MtnMUlmVZkGzObef0rn4w4bCRXLPNEPL5WzznM R+8n9XIuInOAgMkNhNxKBbfPp8BITbD3FRjJprMeERQIQE5eeLH/BTbvTiMZoM8soCETBMlT33RW V8Rlxn82KhlJQ4k3ufdSTyQSWCNQpnNZfMFy+YpRP5JF04QC9ro6mGs+AnNw10R+UgBRXOTRnCIF bh38RnNod5//NiRAFPH4gOhPXnOhmpk0xFvC5xatKZnpYTyUmLco7mFwWQ0RPGCe7EFHGOwVkCn2 5g+BAc9xUJbuPbth/BjTslpkVrwcL5Ld0u5e5P+Sq/jEyK+L1XzRbs0re4I71VVk974TIwujypU4 Ca/FLn4hebit3FZJabjWFKPtnsdw9X5lbRsvOAKNK615JTIo3nMzmAIPUsNPw9Yj1hTAITIqVsTk nfaaOB6mUBqKgzCm/xlrTUjzK5qN+7LFarXBnSvAOC04/JIa9znPhTvDVC6R7N5dsxP3WjmeONw1 oDdQkZJ+6AT7vJjWOOg+O8RvVa/S9UH4CPO/aI2axo5HJkNaw4fl5AoM2N3S/uLdgrUlj2BXn/OH pDv/DY8jtP3/OVBSr81a7eOG18L8F5bD//n2OgP2SZLnGQ5H7SzNExFYKW1DG8ENnKrSyHzOqGv2 R7h1LuCmeHgIDQyJ1pU4gJG90hownFFfbv8ZYxjAMD6zGTPhnYRLxgnOYX0CqI87aK54qYQ6b2a9 OzGK+xsj/Qq+hpzLM2iybwOK7tf6ZhaaonJj/PqcIWpYkYbUFsbKEUC+7UdIaI+QkVVYzP9ohHaq EHFWAxe7uwzSnlrv4Bgx2l/7lZ3SluNOYFiUlS4Dn0rgPOcIUTq2o18+qxsB9c+Q1l+n7iATggdr ZXZpLLQAb8ZW5K1jPToaRMjdesuBpdwvX5rvNX+1tq+uJ5wyIqZR2rVoQPw7v+bmNkgkIm9sKBjx oC/vImLiPPaBVRDH/3S5dRLTv2JBWrEvd5NJlKjLuQ/w7TGETv9p75Ual/XcB7lA9+8BYSrFoX2W U8i+FI3/TlO01ASPfJvCrTMr47Dn17ewjLr3jFc0TwT0uMbgiSKW6bxawTBp3F1FMiHYJLBk88JK tc9o8Et7HS3WMu5qyHEvFtiLr+kkjCOWDbPWXHFu5TX1ZP6KtPldmIuJGvoyR8LXUFk0WZqJV481 U4LhHDRX7d8/7R/sUBdkXs6FsbjdZd4EFDkkl6IqVPh2Cl7WYC4FLPhltKJZC5AVh3YGzsgdFDyB ARUGkz3nXDkXVGHOTJrNy0qqT8F0WChizQF935BZjpgQRXm4D40352THHdJ/5MpdsEGHiqYdIoXH F/pKaPSMvh44ajwItfafGpS2HZ/U/8eJggb+ZOaDkIBXVeQ3OjHpMFlGnofA8X49nz10dTdlFUEJ rLjhWAwvNCGh7txjKcCbkLiMtE1imvTNjbht3/wVaVMhAEvLqlf/pSWuOR97ISfhOVWcPXxmUGGY DO/Zs0aDdDW5/rFRP+ssqZm24m17Z8Nrp7zI6hXi931M+fNlIXoIRa0xMA/uWeVa/zeETg24UiJg EtzspqcbyE/K2RRPYp3CGK6VF/YwF8aLKEf8lW7C7K6yRwZzE3Aw5ORiN1TtaBkUuoEHKexQG2+v AgpbIpGrEArbFaDKBYtePNQCoDkUPOI1EyZp3/wmqymDIwGQ5b/Oont3D3ohcDnZ92dwN5svFETW PgKgKuyq+OJ/BWU/rVYl0YagVPl3kbEQrAaGXe6QfYYSWgNcwzpJGDBogn9HBkCy+6jtrUWxFLYX O2K7pDIP6TkgAR0CGSzD0IKh2+t1MJtSkRzHIeua87W5eGq2oDxMWGzoVwWLm+vRYUqf4tY2NFhC PiLXmuEY1lEWcv26J06rujxLKsFMhGjQnZJwbG5bsuMCpOCvgue/SqDIMzo5pqyy1T8cJ0isDC2x m8kNgAVXL2WsNPAOcTVnccqdIWYq7zO5QbPGgZTkEiMmwOISczKYJK1ya+asbq2UA7SEkdq9L2iq XesmCwTPgAfYThVobx12U0KxYmMHiX+DuVZst/q0e/F5IiCOCtnrZyQMW+2HgmXjyJiIcwBBZVQc h9zLRvB4+coYCYJSTSKaAPoMES8LEIK9iuzjddATEm0JVOgW/kQIsep9bcQ2JNhmpK60LylDew9h sEL22XRjnUgr9oNUEn+DKExwkQZ28O1+nu06auXaZ1jblx0PY0i63h18W8B1GU5U1chamkxL8f5U 4FdJAvTKKgMfR6D31PeSScZLedquLgmD4tG/8I12qONWb24KEWoTVvINlS4JuZ+mYv0XNHvLK8sY aci3k5+s85efaC/DeHJ6zDgU4f4tkOl9MmFFn1sfkq8LtgesDoC9P+9J/BhhqFsnYhey/AGWDmcC gM4VXE1USqmuOp7boyZQJ7ifIb+Yoctj6+9kbowEqRdNjRHSjvV490jVZRPd3ou+2SzwlNc7Ruj8 dMWTLWhncsWj2DhJhFM81N7UfGePcyHjwRh1J7bZYPlNKPrQiX/OvS16MFeQ+gPrzl2uYo/iHrNt ckAB0GH+hf1uIJSpr1IOYpEf+cg+aOz63LqHf87cdTCH8qJsy2x27IoSlGpRpF74QABZAptYL47Q r/gXhaTbSZl7ABniE5U9NJ6PGbVJLittNO/aqx3QN5N5umiMycmp4cNgQOf8ysdqOqkEisIbmyy9 nudwuzFmtadKCqCfMzlVOksEZ4b03A0ejnJCzJ3b2vqR7Vse00m+7amnZmG1UFR2h5lEe5kiTOcN Yz2daZ9he2TbfrDj/PLEXLD+nX+VFQdVs/nGRnjSeagLZ3j4xr735furVsUgwp4/1QWHB/JA9ikm NOm5r2SFrHh1Bp9px+cfLo/PDNJaSDpfc7BEnPRVew76I5v8RifnSpqtIX7dAf5HzOqXu9fZOEcF +DgW5b0IL+q56K0VUEg6+dEqjUZZtaQ2eaMje6KbE+feOcvfDJqYk7seLnTNCJtXB8p/JYuVk1uv +Ja5zH8MRhgCup4nS5p38GXak1s7xJc40jVbiolLjJwQm9NmXgAe5y4p2oo4CFtp7YQDx7pK6gD8 q60SbO82RiyK+/oyD7etdes0HWPE8VGjXtIr/fSpcXP9hijd0ukK/tkdO9+f1p3tLNMCqOs/JYKq 76FFj23iZYSIZp5EJmIx8ntcsxDcIltq/tiesPjKbWZTdyuO6uDro72O8ChuyYlE4WUlEIJqW750 DP8QtfXaJpAn0tj96i5FS522mJlxPbkbOQNhtPoH4w/fcQ5lzDvuHJztVjNwtZX4rapaJIxe+R8D Hp/IFgb/tZ2DRmbNKJxUCW6Til/PUy+Y+HPRyTHPycU6kIa+34qqY+sBPJQlXlFXRPVYdAr1+lVV aWry0J9zQYFad/GCR6WVQT2BIVS9HstPDxLFsmipQRvy/Gqf55j8WbjlYacZRSPmozGcRQ6YYb6R 0MdRxBj1lEDY8jkRcFBVfWW/CJCQH11BBs/lB0DcLQigpXm3A5o1pLYdy+7KsLcxJDi2BOA26WMK 5nI/d5hvBRwmzyvR4jw6r/yDvgvDcBJfxOYvcix4lS9EZc5BwaCN/VffYlVQ4td7rTQL6vafbCSy WhorKHle5mNk8Ox2kfkflVBc/BT4jfq4kBfjrdqMYC3F9f0NZOlbJl4smA15A0fPK3aYKV4MwmGv XXbRRQSeFP5dbpy8ETJmptIGgW6Vcl62R9nbfjMTnhF/p146m6epxZCl5FL0/w0VVFc2Q4NPF3Mc 5QQ6AWfAg+JpaV2F61VURqA65+pWyEpPyXn3aVOF+LgTX8RoE6SHtQ9xJ61sG8FylCgdbEl8BGyQ thqVeEXgTjT2CPmVNw7Y7b+6Fbx03z6hM/DnFQAziS8LLHbyMf3HJ6ZaxhxcfU33G8ZHKtXxVwWB FmExwznyGeU+C+0B2vwZRWrdiTlReY+D4t+KSbmTf0j2X9DVZXItw5ULiD3+DBcALR6zeC+BOQKe PjdYscTfNfDquMZafRfCMYt4hTQZBcAYLfFUbScBc3L7zFAtcbuHoUMh34iry/wMeLqmwnoa7pdO jaZhFKE/vDWxHi2AQemgXGDbUlr+YBkAueRdDiJMRp3zfEz3gkOInz5qOCtABQXpBEmNRk/DSPOL HZY2jIF9p76+j8BDTsPtjjmmevQkbDIggvruTmWG+ym4w6tpmVKQqmQs0xQ1+m41DMpzPVd5tuE9 tGRq2GlR6KraSc/dMuRsIAlFP+2a1+7KRStmYDLgtCCK969ryKvRJWPNeneASkjCD9I8qQsnxxK5 9ElMMk7FW1oH70zEShgkd49oJjgWR1gGb8h+1uBi7eirDOvLlo9OCUQ875LPHdrtmh4INcM9jRQq 75IO+V/e/E/MkO14N0JVrjMyiUQ8UQbe3LqBuL9GuLgyZLWRw/lf1G4qlCICxcdy4VCCzRYTdZkr L+itv4YJsuG7boHSoRKWbdKSQ1bR5wGk9V5MH4h9eV/16eS/F0OBEQeBZuuf33j6LPckbhzVfl7P aDYzPzszG5msJIYxLta3bb+Mf+vKFU3CkRblHKWLeOLJgDK4qUJL1L10rQqxsJyc+LfnurY1iRXG B/OY+JNWs8k2coNSP3Bv3ApPSeDJswRSgjSeUoTMFPCf10q2Ewn/kZLad0OYft4o0uGG9eLA0g0t humsKxd5fdRJJcEa2rynf7GdrYbGXa5/JnxPgHsmm6PgerL06stXwkzebhWp2tqqUTAN328I/DQI af16VGJOc8+2IlBiCkUf7lPllDkl3fONL95rFHTuVZCKb9npWhtESb7Ds4P6wz9tp0f7FI8MJARA O8Rw8C6rQLdpYpv7gxuC8Kg8gUOVwlA8CiRXGf/n4/Mf0JJxzkm1iARj7SHWm9ZPKMu9yhA4v7cI L+AU5HJjpt6WdB8NFQh0mbqnbiuv3UgWWdpJg5cI8pauTxWXmcPu+O9R8D/KO3frB0Fh8CPwGZxW 8nLsG932+guEfin1gN9PhXse0cdT+Ax/lZrXGq6/tubE0UhmFpjyrn0y+F5PR0YZcoihBzwDObno vgqAQIFAQfehkTJ7APZJ+R4wQqP6nyNry79XVmF3SAG6WqxA8LGDAV4Vr09cw2olwy56I5XjEvm3 LISgGQ/UU2BmS0kyW1oBFI6/R3LetPJRS5g/ElL/4E8hsANJffDjrnXhBIsWbSwzzA1TZpUBjgCs mKOVC7JWcQp12rIz1GDT7a10SRB/EaJuVozObQ2BonJOaOc2WJVBIcQA5rk9L57hjmnvVTf84VR5 3OWzyEZhFZdd92KEjt8ykkYlRWHPoyjjCkEz/xC9NdyYmWNIbP4TwyITkp8XV7yhDL6ZxHo/rvh8 hks7e67WArLg5zveu1pN5AvlJPCBTjQbp3Kv5N2n3RqBVLhye95lEA03d8H8QU6qFkk3Ii2owLy4 XNGFMqJFcdAzVG1CDr96PiUKnUitpl+RNBOn+F7PxNT/WBZayPzGhPZ0DWdb/NWYyLI1L5pd0594 XISrhmT+ZO+n0QgpTDwK3gSeeTMazJmJckzWOfuJ8RehqhIGMJIs4WV1ljd0mP4u+RYKorvZnsXv c5MyHmOiP3crHymgHyBARIT92Lz5hdW2HKomlhHN58mLxd7v8YSaFN3KiTvqU6I7dvY7kX4UnYzw snxF6zLLYvWsb8QJx3MHsKQFOo3w4lhRr3gu3qUTycIzS4jfE5v9ztVo7L2gcdFG/nhxwhaBMnjS fRtOASjfVoiPh7Ut8JJ4kxhghg23UeC9O87RuK1GDlvMEIyktamGr55D2N3Duxjfj03sAENhTSjZ VUeicAS6xURS8vGBygatmkBV8g9t1QSoq3pXa9sS2eqFQ5BLeiQfJzakO4NSybZkIWw8bRvXf68f PXvB+pnbAwYkxwLY2NgmvFBl3gneQ0KlrSjBSR6QLRL+aKXNFx8srrUXXcZuTzIluAu4Eu/epQEd TcgBw53VJ44OoslVdGNFYluFQENFx2cR0vqwcEROpQPkrX+FmgqRbmAErgn/NZIV+onxGnKxD4zJ 91riAX3Z2zrABEnu0AfXACFUwlDgx+7JJNWhsTv7PsWTW8Zws8GKZnMteb3sdS5wTdMQa4LcmlAD dPOtAYRbmsfFk1fuEFckv9saKWVpSbwue0SNtDBVgQHKsNnkeJm6KKnBQ7o3JfJXK2Jt/OHdmFsK e+GUIQhyRPEbpwndKZ89zUFKq64tFt8CtOYmdS7h/VLx2MPUhPSBu4/Lkg6PH2KhrTVqiIZXC3Y8 h04yiLxo1/QXbIZrgJVGGfcdKMDKUsQtYmtqB2Fgo6sU7suatCjtBzMojS978SRhBiqX7J6gBrct dowm6/9iE0VMH1hQawuuXU6HtKxOKKnKkEkV65J7HZDLXv6S7BuFCIU1n4iLUvyNPDPN6HNSDh0d ah7HxHkpbeIvy9hanKDQSWNx23HJHR7njb2lcSACk/rPK6Zvcqsw7XAwIuYlTicZ1ZRF50Oo6gLC 9mV+GXjtyBwEHcQaPE4yVku1ZAN8oHEYp5ApaiA6svo0/uPdrZFkKl+g/Ybj2V9lhvOzFPUNNOY3 V78CuaL4LRMVwVkSEA39u9IXeVbozTt2wF9cYAlGI2V2afyrv6cnb1QFB6/MK2A2gD7QOU/2TLuy /AruKktYgDenPAgx8//6uH7bHZSOLTGi9bz9og4Re2blsREKaMMQ0yJTp8Q9dD24Gh3kiYVN+A/e U3HxGSKaZEeqq48mdYfiN+/wRfeu0Ehup+Ap/uwLQ5cI0qyl4JilMoK902np/3BYUEarDtyWIOd1 jHH3d1fbhLz8H+BB6hbs+RWIfGS2q0JtC8b9MXcGwPQ2lAIgws9GVWyFMeZZmKgvijauXpE1Zs/U aRw8BkUY/dZQ78XnXgveQjScF/GRI7Vo4sRgQY+KYD4JFx+og/XoLBu/P39p67xfMF85f6YifE1V qDrZsrkWkLgO5b9US+HdW9LbYO4SKy5ApKwHXz0ZT95qwXljlgG5320BdvUECARG9D8ESUqcLGBW XmacMqc56AvW418K9piMqR0PFx9u2mGdM6KcjwZ3YSnC6+yddjuy0DO26WIXAfUsB4aeybX4tTBz ijI+3x2E9dVN4GMs91mC/S2sN72N3zj7j8foNXEy2fl7WFfUzKtYx6Ek+RdJngUnMXfNHcGSbxAf H264wV1SWbevX9qk8jF6gJH7G3HMFEXXfmiTel1EWRt8XhvPInUg6Cezooxk3A4uLAVcAng0wTTA EMyOl9v5JJMZnaDSTDTdxaHxEY2g3MVRbgtLacEjLs0QOcPWHz8OMOzLlGAZxjxMYUZ/5sjMFgHr 3GhqMzTzpIR2UeHmmgGi3kuMvMYhUp0q5EsBWTSxovZqRNO7FFkf2USy6dZ//bNAfOTVN9vGkFJK 4SeLUY9w3Vs11KVIsmfl6as32xuwQnsFxpujWrNs40HIz8EMGSH039zSIwkvBWZM29gVHU9F/njD X5/ntuRK8Ab64xS4NBJAS16ZRxTphT9QG/koNPB8XFFpQxvYt/tTRCkdxADzJK7ZHJO8DnjFO1IU 40CqWLLvrK5sOMXvpQGN9Cv8utC0pqY5AigjaP/Ez2u3X6Q0aK900DAf49ava8NekLTkiv+QqnIu /Rm3mh53DBuWW+nlFZQmCeDUDBveCQnWvtrUCsTPmk35XTB1oHY6numT/XMP9SRo/mhChisYPgzX 1WvudVxjPvwz9gUwbXtEZ8NIdvgtZsS4D+U8PnGgE3YdqkaqyVAmFm4kzlX7ZRkpWVqCizDOwLv2 tH+T7op3zJdOEiikik7dLFpDkxtQJxc7o4IrpP5NNJL1fUp0WHV4rB5oOncUFhLp7dQArLWrgtiB zf9KeNglyvFGEAkNEPuV2PMjYxc/hCas3dGjQT+4zDY52zBDTOGmZBxSZyACrRBJAtLc002NlnQc XLa7tNvxB9KKz6jfa2WdBKg67TAI7/wV/1UBxNXSgZtnj0XMZIlq8uc5vvL1DtSQJA3bhhf+GtAo 66Cz1B/EZTtfzIigW0OF84c6jB/JeyVNtMcPwcnertIfs3EMxBWv+3jV/01zbX4XTT+0HKCyf6MG Iz+nQN7CV4n0C7YWSQ73/iMMUe4pSDAefZrzo8CI6Urr1gOeNCq7lytHYZ97w7fIj5Hjj5IeBnBk xZHDFHRi5o3x1B5WZuGQ1QDnOGXfLzzk5EN+EWqxxlTp78X209bi6nWo/WSj7UxO9wApp1VTskaZ SIXnsp/nEDXWMdvtMtVi7d7Gc2++R2T6qtSLqEtVWn50gVogXY0rLkisyKnHEZQRTj0w1Qt5a1Dr 9du5gHaKoAi1QyobhCY3toiLmVCVbEPAJgKnfLN5sybQ6VBdByPtX8/j4EatNxfahGOQpdjwKkg3 dXjtnVYew5P9/9zUGVhHRyRaxs50UYCLLcDynBnQ6LPWPn8pjZMCX02yDfsqWyv1OP9KS0aN88Ay a9fieQx4N34HPAnqJjeaUaXrA+i1bk3TjYEBu/WBkVtqkuQFqF53KCRsO3eHIw67pLyjtiH2ZP5o uo8g1d+QZqGcmbk8rZML/yGqvQ6XsR/9GhG98KpkONNbgI51NK8UDRatNvf/ES7ayuZ6UGIuA9dn 0mA1H+EF8iOByKUzJyXnaIA2b82jm21FUu3i0lWz5/ZRbK3t37iZmeGmIJQsmN6naki3yRupYxib Fsz3ymFVVOz4/xdd5AhFDdUA1xMBb0j4H0eWWsRJzXb+KYjyzDVquu2N/VodnPISc0tqhk3rMuUV ecPgu2WxmweN0xqRwF1aMqC7BXPOlKJQMtAV895tY/J5HTAQ19pOONHettZ9L0NFVk+rn9V4HBQc a+B8bRIKSnr8codjs81EJ4xlJNymh5XKlCBh+nXFTzsZ1VLk4Y08VSDznjjfo4WbFe9f7Q0iIsuB RAsxPMYfustymz5tGt4BjfiYz0O3AjdpQBx+NrrB8x1rwXqVdiox4VA4sivvMSFatzjX+YHVfOdT oV44cCsWCxlAcwtYPzcRWg5TOktA6XBKgup4I1ndb55q8J6JOvsrsTqzxbpS48O5fFk6krGzN/7b hxP2dhefzKksnwf1lLf1HDh3J+x/eyvCMx5y8Y3VmeocFNiCYSJ3UChvdOOFWQXLte3EhPw1ztoZ iPPhrQ653ltYW/k6t69rKuy47kp8QEtC9AkCo1SPaa0E+KgfFLgDhzZ5vsf+mVi8jGawATB0SRNQ WQ+mUNxN1QQrap+xDYUyCGU7xF/xvHLaP+WZuZlEGYIBCByq2++2vZb9xReGBQj4HkCSq7GKqjO8 mI44Xomb9zAJxQ/xcylpkZeXkUjLtvWuYsO/dkRnjGkYsPVjLUCV55efZuq4mXOCTepEtHzlHUuw cEaATlnub1FFxK6PYOcK9y/pts0p5jOqSH3cckewkewM0VgJQJUP932xQMlcI/aIBau1wKp+hvaF KiOf1D3YB+OqXT4Up4culW/g62E2ckXGnN9kNDCuBd++8Vdps2kS0LOt5FOkWRrNVdiTlMrviWvU 6zXbCKy0o2kSyPzhzD1qD+RMpDB+zmUqeb6tYiAeLo60gRp5f9T3+Tj/hE48jaPZ8zkFHfiLz9DA K2tfbxOgnnXYeJUM/9A5uL5BgzwwgjK/q4++/YpIqsTt3iu3LNMXnBj0pJSz27ZvO7bxR/FP0oaA 4Ccp2b8beBPEEN0XzTxBnPIcD9O+e0roOwR7Wu7eJ8nIPy4CemwPMVoD3E8QrMX+yImycMb2yuov UonK4rMpZi+4BrzqWUQ9lTIoNnjmUhhYxUUu0MZzgUpaTSDHKFuxtarx9SXww1omMs0meKVwp/rB dXUo9TW8ed9NEZBiOMc13a9PAHWSNj0pSle4hqy9kaO69qe8wxdtCkG+0OdNAqLeADzYULdV3LZd YtXY5+SLXVIVvdT4UezK94q3/PxiWa4VqQlWQCjjDjUxdws9yLRXSG8HsfBJOI/lq9HSN0RjDpwU q27gXqb1KtMH2pykVHCyyodf/1rw0drbvrBWPMiArNpTGEs6elyXQhDt9e6gGa/nCaVLuk3C9fJl Iw5TaysIggXPq+ekE9TjmB04iBouOznMaaSrUDPAY+x4bTlFVC98O7veJ7JqiGMnunT6wN466xlL LEP5dQf8mk5UkSq/bxwNMxpUhSSAAdpVwI9r44wJ3Y338FpngnjmZCAl0V7pmXriYTFLtdcNcNec VPYYU83MESHn0IlUTsTLtOvJHjaQRNzCnz36JLkwg8JcqgD2ZL6A0xvY98XbFefQdnN69MqmFnST xovEYI0Gf2WrjU7ltzvpQeFytdc3UOnmjaLUnmTUt9M1qrreWDtGgla9lyQjjHDx/biYa/A454Cq dC1L2FyZNGpdcyqj+bePYw0zc4Md0nyOEZtoEh8Tq4vuQD4mk1S4U5ALH5KMtOzpHqXxYVrd7u+d yKkgIVjiJw5dn8gtu+MvKURCNatUoCqLsWRXwp+VrzTrLx9kl25hvVDzWoDPpHk5AkJMiXiU+enO p0moRCmqtFFbGFA9NfRdJD1aVOiZVEty+R6ye/efLJX4kilrVxJlbzMTSD6pXSbtbe5OMFrHH2ol fCVv2sw7OzXTBOP6KMApxwXUjpV/hipm94Ey8LY3ZZ6llk7sFaDYXlVVi7pMG32Gx9EQ5UlXTJoV YleT4bRo0MOD6EaJ2KanVsgebae20jKTAfdx4mMoXkmWXtgN6RMQq60eJvoor83Nwd5xN8cZ8mqz CPbyguF8F4EIHA5X/sTGmlLIpqZiVCgUWJvB68fsH6jtPBP89eaVXt2ezv8V145iksLXQR6dpz34 J1fG6bJam8bsonnd00+i61h28SH+26/V3gLLDc9wTbixVHFoVmLTjFLiUr43GqASsGdPiFTNZCB4 HIXubRy4qVUfmApvsoWnh2zN2I6+cMv++aaVIBM0Upx1h6TtEVcAXV7lm4Gg1JMQoC5h41S+bU4y /UlZF7nwJJKiQiODlZLaSU/su0//0WLxNgh9e8zx7cu3Y/LTE06jtUDt3HOfEaKMLktiwNXaRaEK ZmosFDv/zgKx0IhwwrpMzFpTAuX+qP/p9vwQs7LhW5zwYHoC3Rk7FS/+Jeqwic0NvZtFypWH+On/ epqh3tSbaNz0vTq9Z8Gw0kliUBPl/ikqoBSNulxOCokH5JrtmhbcjuWjlVI4O9nGhiWwkOVYwdra I79KjHzXCajvlTnkBdO1DWFnYNKVp5cEFn2WpvEJeqHFnmEybaBTDyu0ETJVnJwCKV/EeBQSlbhL ud4/PT8dq7q1e/ieMgquWkYyvDSmT57aoesqejLP4GpFACVo/e/ciu2u8OEKApHRMSzPovpQ53WK J8O+2XWA9c+BtZxObzqP09fBc+HUGAjqNbjF1HkU/eKtWpS8Jyq8N0FEq3uqg+gKgiLnijbXEoQK rJW/dzNdE3rJ8xbMEF9iZEVfYGDz3wnkH/6u3kJP+q7PKOFJqJcU7Ia647d9CLQ8BywgknOL9xeY rVCUzf6WKokQOQWKR7xtAXEp/4onIdO+vfemhlPh74sOwB9u6Cgg8lTuoOwGecaZ456iiF9cz9dP wDD+Uxl6Rn9LU053WuXxhGAtyTizfiGac2EUHU/4UgrcoEZS6+N/wmMQHKmb/u7CQe7wskoBNbiZ prMpRYkzt8ETx/A5t/z2F72PCrsnlB6GHDAyiMklBourEQ93tq6qXNaiGVL3p91cX5f35s+nk/9j ct7/teTXdRqYqjTSaun6DvjczShDN8JUt/I5pd+fcAyISGL2Xp3Oo59mMnRHrOMe2QQi6EzbkTRq t2Uzg6mVhO1CmC95blSbPLIdcheValoi4GvoKZGDi4M/N4HQEzDbaP1UmvYIBAJCfx6WjM1nloI+ noHYJlxpEXUdftv4eu+Y0y7BXnWQqaxbueifTedtDpACrEhu948X9wfEQY5vWsjDN3Bdzs1jxrT1 /kag41j7SWtxhUYFQUjHIEzIQ89aA9udXTbx8KSXu00IN2V3kf1Rfd0KMaXICOkvq0UO7eJJuZQh 12yc557evvS/CpD7DpfZRf5suF6KqnQMTLQynAmXxCuoq5c3RPttKxzB35k+pTrJsPIJi+2B5GWU pMyBt4BCOXiLhCWB5lO8GAfvj1qRQnn075/NZLBq9uZulWQNIOlho6yTWcvjQzyaImqGecc7Ub1s MO8uD9q9c/mNqdGVOvgh2VBIEl1WRrdvh8T8CIdYhWVEGHBXtoVOpFWevWpHEF9grBYmQi1ebIjt deWLQS4kTOMb5F/bXqp2kiEp9FsXdSmtIgjNzIxHAmSEgT3xdRNJ8EPrUOdXfaPeXQ8QWoWVm5Cf lVz8p36Lmm6wLJdMWm+ZqQ83Zs/YG88GvfJ3ltLoS+B3yI538iSLLZswjDtqsGtihFZQxUk4eQM1 akVSY/PT4RSxckxl/ZcBBeSlNacaYQ93hzC/O2YXdKek7vxj/82uPOm22Gut+gh5wFrdW+HboAe0 ISMu7Ex1CCUBq0kE5c6e4+Smh4g9xbdLOuJt0pxyQX65Jg6Xsw2CNOFALeZOROZ6RfANFC01Cfia 1Ys1b9PijbyswJ5iErelZzUAH9izGf1fj5nez60ElqX7islBN6Akp3+akZqDI8lBULsOA9j7i3c4 VikDGkNqZJs69wnGhxGbON65oHJ5+r79DztyZZc1nWDUN68cDLC5tZTYBZyIJ9xkr3NNrKaOTvRX BKG0dnh7Pvh1hfE4tKnYzM3ZMkDvuoDrAlEmfa1riJGmllg66X/056Kl7z1UhMXAVcYDl/epgnxK 2CGkpk5fweXMLDPp9HPSTK7WZDX0W/S3YLyqFzCJvkYqoTWGB34QFUhvXyUR3QV7kI7YTFsG8oRV c6ouXVkhxk7RoHhxHWjtX/STgi2mMeu9hARCWGMg0t8GSHkBVmetS24PYelW5Y/QvB6msQQaXbSs zY+IG14B9yzeGh0lxcqK5Qk7+rOVwpzGivDtwEZrnAciFqo6Jdip4QC7o7cz1hCo3nptUqpAiyeZ DtKCaapA9IyBskt+5VzJD4UUAOcy+1GkUHnt81V6jgQVcwuQb5EVBjL40z581ZTLojA7Z1PnxTcR BKkquD6LVJCJVYy7aR8Vi4+CgfjItGckXf3Y5IaCKHPiKlLC7GJQOpyJ7UOMmqjqGWzqSkcSU9D3 KIOvhQXprB/Nx/ddNtTb4PKCWY7UQlGATsmGEL66Dxq1YIai32ogdzTiWNl/2R6edOPXy68xjIUv GP/VuzJF127dXGvYnKlav+EyIaeUTPlabGcsmJiHFN2dzLgP4pgZZ0EAE0JDWbB6hyFlLAQv397i F2Wh4YeQnMJrVaFMHefrZvUiKZGFLCw9wbGEXII7oHRoZ4iEif1C4Dme3ogWq+uuBcpPdmak9Dqy ZZU0JZBq3UOJ++VsJfCAE0oO22ORu+zJPQq+pIPVgKisoK/lEGMWhUHgE3SQNTNrJEFP6KNj51mW uyIfEUs9Fn6tobXR31wkWsfZwhzc+W6dMvMV28WohpO79ZiVzr9wZy7ZvmfwYBQhi6ZQZZbfsS2J mUmSBgvor5Dar3D86zh+NGbbsqZKYwmkCctLlpPNueoVEc1Rjmf7KsdJUHfQ7f3ghKDlyVdDwy6B K4bjkwB6JzI0cgtIbMpib/y8Uafj4NGP0HhL7g7ao4nipb9R6wqA7ECp/iXmbiKTG+42064YLe4u Tr8vrSmu3jkT9ZjAspTeuIngffaoKWuI/pAvVIJixf8goo5cnwPsgIII4OVPHvfCTZRzSQXSXaZO 5bT0b71Dg52MFZCn3sIpQlHc02LYcYoO35t4ahJHqJhwNHHcNS++GS1em1gE+7PjK97BGyxn+iif NJzfVM6kLicoXUcp8AV4QjlKXuv8owB6n6TSfL9+5hWTb00Qsev8b0RLcXdBjIxf2CG7xnANJOHr ePxBQroNJkBy5ItFrzetpMQ9v6IC2xGJl46j0C3oPHYpYhvKVNTpyolGZyjG5qdnVRhttOWSukpl pOeBANvtocOHJ/B9xWwZMAsLp7HivgB8aCDdTGNPea+Ingky7Ps2UZ/fhsZhEJSJEHh5kd/g5uIL c/XTX6O5uZ/bgGBsih9g7pcNO+xmAcK3/kbcAT6ywcFu9SVvbWS02dVUnXEzcz+sJ2+MyrIep3ub qGO/uWZC0FCo2ojocDMaiKYMQdoBu8RdzxV50b12lnDJCMJpKEVa4hmdoTAfmN13ylWqLfgelwOK l+8tu4bYvZk8aTscFo5lWmaQE7MQxgFYjKzeNMXL1Qo6wVaT1bXf6OE6raUYwnsL8dfAbmrmySaZ WG3K+ioIfOGWy0xYW6ZI+FCartONjAVG3pzU/TJ3N6qzP9TpmAbuXjcAVP6UDzY71CZWM9XytCzC 5ioq+P6BTstBeTuNUxMTtlQc3nfeI8j5FAEf3hJSAyQrJFXNr3YHJdBNB6c+Hmo6oevVTqpkfxKQ SQZmK5S3h6fSemJykTZFd0Xz98v64Aox5i8MUUf9F9hxJJfWR8w+u9f001+CEQUEN2o/hFQWdVBp 3rA7oAwReis9JfV1d0E9W1/BPKt/n8iAHpDyiVzmoxJNhDY1Bjw8Vuk9rYi5aZeQvkGjXsvEgE1D QESkjwqao2Dm3OUZ620I3yvkGaKnpec83GchhxWcWb2wL+T1tpJmM0aJUjZU7WyEgzBjLNBNfV9q dNLSirHvsfIhI0TkaE8Fw1HHEu1ToBPOu8ZdUyjFvya89dyYhrlyZi4s/DUbfJDNLmP/DH7ItHNd Iv/RvJ//+orZvAhkrOcw3IVmCVj9oukv3OV2BJOHPvDJKhIARg5T2mpkiMUIQZi5Cp+M6hth2Vr8 bHpp6BNYAvk+BVjAQcsv8gvUUVLIT9QDYHglca6N/rzf8ZgsxRNihbu4v/a6NX7YIWeumAZVHc+v DYe8xIWdU5+aCG9r3D9gzgKXmKm7gQ9Gu5RJUFHq7rW86Ffuf1WVfzmtvhoEO+BSp2I+9yDqxKdk JK4TXIY3ui9QLipGMXEXPwvH97c0FgaGchVhBoP8NrF6nz6sz503JXl8uDBhx7lHSBomNakPpdhL RsU5Zbgs7iL6+M8uHmwcha5rF/Aa2yyJRtrLsiP/JxVqypF+EYhpR9dR0j5OOlNKHiTPbfLAX2/n NUsWiXgfB09gEaCP4J7jiUpK32pRgSYgSOEs3XlFBujrb6ZzZMxn/rKPuSagkS6U+EE/GiD/AZ34 UV3/ORbPUC05GVUn2JFuhcjUM295tSvaASdJsuCTAG0UpPx5gEBNwGC8rtz093CTYCmpTMz4RNZh czFiIUcnMtiuk/x2nosdHO73cBCPrV6xJzybfGWkvPsxSjaTRg062iAHEE727D36M3/YFMCbmlqE KpoxT48zv3jjedI2PAr+32Oaw3UpqWTopQox2ZQMg9bUCGbI8fXssU468dzDbiYDSedc7maZZl5h yWppEI/EpwVIWb+JYBwmXJSshqnjchvxGCE3V3Xmh/p6BLccloBynaBkf4txeq43TKYS9JutXxCa immf72dgyGnBVIu1vrQaCKYZ+ANkxbETTz3ack5Tf3JBA8g33R0Iy0Z2M5RS7YbTlS4Rq38DRPdA XOJJkxZkCf9vEFi9AFsLEa9TEY1ychANIvBDfhu/FYeVGhXxbd0o60/zC28c9HcIhrXqUWlaUbww 8cq4VRj4rASu+WwaVUuUi9o48sbNxwpJf46Tq9NT/T3Rsz2Qe2HdFmQ52Kcv4eGACrqYmmypDPnN kwfCurq6ZyeLv5Zqj/nc1KVO+rXCKug7O0XJ1c3bsUI+R7dF1oKIa2jRIiIeFfNoN4d9CCa19W6v /0FHS2yPcCCJ/1J5/GUu3jizau2gs+cgjnqnqbQf/tlHbAfzJ8O1manekFwPfGsTc4KEoII5JaBQ GjeCJS7OTkNRr3yeMpD/0JvXW07Bqz/YXlC4BlJeI3dHR+50bwzuPjxk9H4vxR053YVzggtVuKX3 fXL2Rq8EbJDqg44vnQxPe4w5NZjjp7FttGp4yNpMGsV019lcScJjNVGJnOqOtAe4Ag08u65zqLJB vwzBC1icC7snClf1U84omptbXub2X+uUixIH8SxSvWSuzzM7NMrbvdSgD0saqx3Yd1fyXf9Yj0Kh cOLAdIy+UTqYE9vUOaSmQo1n6S0RLMmfc5yGtdaHa6DiYIEW8Y4xG/LWxGW1APVkyCl8MIaviK9h uAvedI3x8inN0zE+BnwYYBRQUjr4hu3VfzKJtHOeYnRNl58cZPSOn9b/JN7oZt9TCI8S7NpmZMzz 0OtBzPq24HhGSsBjD7jbKmcmOPYkj9DDWzoR+PhuPT95vGj5p7shxq+jI4EozSlIarWelmKORthG qTY4vUTZDFF9zv2dheYAtjV4VLK/KTvz9L25dNHfCwI2PfdGpmFUczcaqhewEtGv4N5k8yCZbwJn WZSdnJtRt3rdNKZhnGXisMZV7e0dKxo/c74/tAWZvoP59v/W7phCJ+ir+rhr63caSh+5ShEqE6Bv /S8ImcMmcvLRuK6/QzXi6ndc/G99mbtODuZFHkTN6vJhgDoity+XBBANfpf9UQbi/aorKH1urNyT //AqXX3OJankPDAhml2iHupBwuNvM8fXT4Yn3DwCyurBMwVQhNP1dey4iu1iRh21dUEAgH1ZiwVM ayN1JnsynDHKbFezUg8T5t86LK7mr7/uK3Bdm/2sSJAaXclvdW9sfqfkX5xEBJlTTNeLQloPAC3G KkXhtQcXuwB6+GSae6iph8dfgzwJKhFTQCOVYqL8T2JrOLno8721O2y95ygqd5ta5CQxyl3xG2y/ jLXeAEPsJO+9OltvO9Dde8pS3bNkDT3hdy7WolP+1ajoT6LNbK9D4G2F5YbzZw0/aMm0feqMYZ/H 4M2Lh6dZ0AAkKKQr2lMO3CCrgPB3315UlMw5ortB1LL+yCktwmuYdqqvNdVtTsjCeYX7341M5Uhq +6mo+aE7ygMVoDpyURiljWzwnqBErCphV9GhCWPDs0XExMOQr+CzLrDS6AN0gufy4/y+J4PBOPN7 PWEVTTgf+KSNUiqUzrJfAuL55Tx+iCn02Hh9lr+1jGTySY2nSxzHJIg4vw3rMgkfJ42np2Gf9xt2 ZXIoZZGxgZw1RLhlDwXNxtTa9VhsjhdygDbKk9MHjiXncGECq4kEjbO5Ugj5lQFx2MI2N3Q92vFE IWa0EMgAGGXs7cuaz3+VlLxQIFeXZA9qRxKND81+N0NyBhf/duPbv5uJ3BlqBHuZWsPAl8SdfNUF 8j1a96Z6ebQx1y7U7ji7uv2yHCRbdro03NjoF9rsfvDuqLFNdfOUXI8E+oXB4mJH+9E4KmIqciea Zc+1ZQORpcdRdXjUDMGqU3+SyttiipI2XUVWh+OlcIxDSm8cCa3rlvvkdwsBkpkscNdmtPF5pw2r xqH3nVWlLOWLM00QQ04BWQZ0CnY9Ac4ErLwX/Y9k6bYvwPLiENTsvFe3IK2nQ2lbBY+472F6stF9 OlYs28bBwjm2hXWM7IEhEwivN/Yghgen88a0j7/wO2i0pMoa/Bzgeiq4NzPEB3CGsjBu66IpI74v rvzVs2QMZ/zVosYQT19WVSfPNDJ5tIxWd0NBpt+5QJ3CGPHw3lSv3oUs5wWQnp3z40eB+Hv0TUhX wxtH0VaF2loIPt5+Sx+ke6pGU3Q7U7xBH+DJTdAVJYj1wj+EYi++SMQHlscDA/7zqfvKggEg1YML ZwfIpr4dYAm94qsqYdgtL1FeFQSmVHjmUJDDFanZ/YaumHbsu0XeoTP6yHOK/7FJqeEyzbEyJQR/ 630EpqHan5LCTHB9DErVvD3E6vMXSumqA9LL1Gqm2Pm0Kka7zTUWqw6C/YNoFQC9iolur9NA31Ap Xo6XaxLVY+hqE553I1iAZ9U+5pW3yoaeQJ1t+i2qProj4fLqwmh/ujh+9m4jSPZq93XigKYN2xEP 4q2pj6SXY9Xv9nciETH7EHmKaTyw1opz0rdGNXSwVB1Ko2DwJ1MgCIHli/OHaWqBr1ngHSirzRNq TegiSzSUMYG+tHmxevJkdQtY7JKT2YVUiuAT1Mls7Ze9/aYKgUr7rd1X1uExrFmkZzbqtHfaBrZk Tc4DxcCuYpkkdJyY4T+seP+g810QDSHaKWtEqRcXCVuEqQ8FgwJdx+JDOzAMO/UL/p9gO5kFsYIf Ia9A3LFclyS/8KCZYuM0YCRwiiot7dNcHDd2sMbw6Bpp5ia41H7iRaZIT4sZ53FoKL7WW4/oHwPY qkEPnVwcWJiMXit2XWjl9tezTRa+lcusrVbP9RuQlG8TLll16MvW6AqmhQ7kAAqCcnACj0MDx4JI rd53Iu50bfXji9dsh8ODB+EpBWajf+l3pPVE0LVKlRkc1biBRCvDkJQLr3+/DX/Xcsi3kp/uSFbj /7n8wL0Bjjuv3dz5usJyv09a4bD3vrQuA7UkP4n8NjsgyL51i5r/GsdeI9CiZSBU2Gxr2AagKFmZ WUd7lnx+kU1uhoXVBGHco9D3gIuxMVMMdfgoVxPCU28eSIRcTUFnE4aPsLvIz8QJN9rnmMDFCQwo frQuduLnDVoWSu8Gaj2JyISvg13/35QJ9ECn6rgQdYQuDF6CecwmY8lFXJQTIcBREXmBy2pxV8hI UVKLI0WuYYBa9G7+s9fivDxv+BqXz0/ML4HR5p6Vw3Ha52vQyL1SeNF4wsgC+dF66rugDeGvvbVo OlQVhCQLOtt3eDOdpsaB+q94IVBXl1frSgLAjMYF26Z3sxW6fGCRGQK1e63ro4sIVuMXVNWW6+B5 qppPKucmivjHzcBnsNexGeC1tbZgXzwqdA3KPp5467Ho7+PZjf4qjpWkWqlupyhn+xl2a8MMCjgU fwTdLjcB0/ko3ekV8hkYU5JCtVjuUcBIy0ED/OvzV3a0foKEDZ3+CpJf89VCVljijejfBRTa7gk1 nd2aIL0XnMt1bLxTtHzvyXhtTBMHSMFpUWqBZCa5LVJps7NrVSZWHhiJXILelT3nuRnVyK6vSOL/ /HojrgyBTw7JeKFVfPNQtCq1Evt0esD0SJSf9q8sVRGq0AgM+8wHKvyh7yTP8jSzE1eZJdxdR9Yb edGPErH5HZy28L9GQPxyRPuRV/Yy+pIji9sf+49iBZp0Xuz/Fq21Q164sCH6J1Wi/HS5fFTrwi27 T7mE/h/N1NEwC2g+FGXzv/3nevbFCCo/1jOYjLeCoAU60L+0824d5JVdBqj/UOq5qrrPGyWmU7HG bIgwy1mOvnolZEZi+aFnsMXwgeUQl88otXUBSl9nK/Y943mRcILUU0Eyt0P2sJVh7I/afA+EuWRs aNlHvQKkdxioP1kiqLbw3RHG+40vvdPfxJHUl+abVkmErj+a9swrFAEzIDXRnGLvNwU4RYUlED1J SBa8ETCeygPcyZ8cV4sMr3Bd8eDGHBvYWMWA69VFLxhXz0dZwEhP4urKomnvCakxkSupgxMkqPcn CcC2x0f8cHD2TW5RFlXpY4z9aeFASWVyZOtqnGULgWVj5r65nd+igfcbTaJjh/7LbX2ANrueyQmH XYsKNqA7oHQcVwgI97BPvRBJB2oktwPGQqYD8KkggDDaIfa3ZuoC5jcJVBdS/2PZyXX4R7/iNdWu oHF9e6ryhGsKSmh3OJk9L0iVNuXR0Q9fsZj4McDZB67XwELPwut4ZXb4xobx0BZFC9gq5qI9D/3s Zar8YYSExepn2T8FqHtskiJUxvTFQ7yCU8dCPDwSwqeAAqpLSIqsjPx1XGI1fDX/GiwzmSwY623A zsNpS8YgpFXb6pwA2BwrUu16lJkOw+/h+fjJysS+Ja6dyJ0gCChhK2y1/igrhPzIQbMH40Y5zwDo GcgmZJwpIXpcdqg6xkxAj1cGOG2HQJNbb3PqUL46/hB/msEYuxH961YA70l3p0oaZghssO/sQfW6 FTQwssKcDpTvl0mM8pcysQo6uE8KoJHqPydo/MceRY5vVoe+k6e7SrD3F7J6iVC0ZaNAs4zG+WGV aMR9IzH0XJyasPgRuk+89YtlalZ016hvuDijkWasB+LclTn0U5f6kwDGEBKy8XtWA0pqhom/78yt S1oAsRnLyhGaFWWSz/u9vSvqJDgznuE31ZBs/vxnkSHyq/CJxqh4eibdB9/SR7VHGBBgjoRM+HyQ bJxWyIhUXkZzf7HEC6jbSnRtro2W7DYDOs/aEaPYoo0lp6BDHe8S6ku0UZiSN95EiNw9cc0ycpsU DFJr1iTWD9Ugi1gu2bMHhrKUB9iGV4Hy2sECIysoTfS43xZh3Iua+XLQPVcXumHnmoJPQuM/hrYn z7nW8b6Wgz8tNMs7681XcVWVa3N451NA8wXMi6qCVn1E27TAgwaJrXG0n6zHfmW8pulWKbLB4HVk GVBZuFERGc7NvOfIeWFvmcVlN7nRiqE+svAiqFZWOOodKN6klIyaXRkjV+yf6HBxetYfwtB4p+NF vsqLN15DK1WhPagl1AmO9BIe4lcCLl+sW9ScubvzadrR1Cd7BEL+F5lwA4rImpreWN15bE8sSOq1 i/E1VCaKGr6Mpe1haWWNUL/JgCzKSgl3nVlEpyMfK2uMyMDNyuZlCSC3KD93sLQIODkk9UUHofDg JgyHkLBJ16OCeh79B4h0EFbmw2CW0WwMjVH75LTPHLZtzKirp1Kue/9bhw2cWPs2pwyMk04jJzvW n9SJ/oIgk+wj8S+KPsBDj6g7rPAQX7eibkRNIlHBflzKky1MQkKZYgi8SwgE2PRYGyk1vva8PcuL kudJMXAi/JmXGJypIS+GbIrmfXqW8sd046uVZP2qWf/OsCPhuW/yEwjpSdvSnSgYSrl28b6oxMwF 2xFmsJAvS71NNn0pP1UwMDiXE3iKqDviekctmQbLUd7r11d6/OEK3RknPmYYlgLE4naCMMbk23lK Z3L2di1itBhDGrNzIai3grJUCDPTPFT34prazCk2bKh68/RQSc4FTKNXoGFASNsLocR4+IOYOjiO nFODKz4DRCvtOSaAvM+1o8M6hHSMtJ34DG0doEUgLwJFPeqiGy7mcXPPFbbAmTEigOLt6q/X5UXu q1Ep8UwsMETd239DaMQHF2JrD2AGCZs000DwGpPCq3DidhPsy4HQb2IfIW0+3o4dHHn/Nz8QFJO+ FPhdBg9vIGITBzdvMljXjx/daYzFdNbegPKs37SYbKgeZu8SIWP7rybxHmKtnP/hGkdXhmw7+hwV fpRwzlHdHSyN+qN7XAj9PEkW4nm0+g2jb9qbrXjrU3aNSq/DfWPkYAbnliq1xZVrjv+IrmaciT1e AAdoOIjojCiCKqMBxZyitSmHhQlaPYzkuw7mdm/vC9qCLVew+Y12N1ije3tBSHpp5Ee1ktF7McDc IAb6I1x2kxBEgyR1hipQt7/5cGoJfgPGDZUT+9jtQmpLm4u7pC81YGyg3Wamo3DgNBKTNkkvRTaK XKiETLkDyEAcDFWNYVVOP1TaGWYtuP/pVavDPLFrcrrfw0p58h3ZZbZzAxnk7eGs4dolKSVHdLXq QONcBry/moMS/vganyzVGfHizZ9BUo5LzgcpN3aA0jcyVQZyYGZUCyddAd4RRfAKurG6ZIphXNEA D+dfLdsxg5FjILXxD4PrgX8yzeYMwXtpqkYgr3TCgi2RsodkzeyGBt1IUodpiSTUWuRCYafgK8+J WfTvekSj6W9ywjScULp580TAkO22xLxpqltFwhp2ehvAJGA0L/zwyq4KCqwkY36NWg3ox1yGOCYN 0URELJ5koTfCrdL3/9N0EIi0AvXFwXxxDAvz4oPQIh+01N+iwx4p0RFLJpNFvOXUEf1lOFtt/O99 P0v05WsKoD/gAxuXQcVGJHtZa691WkKKU2gbf8IbyRgDI5YA7KbBr5Ikkd7JEp1Aorf4Wr1uBHrs Hh+So+m+3X3iTy5/tzH3f1NvbJ3GOZoFSDxdJ/Opthg6Qx+3vfOAv7KoKrgRXHeZNmstTfPYyiTM vS7ff0HlSLaRXSDpGd7mb1+nE+ECP83kgrQsOYBKNwf0QQM+9Ylj6DjBc6jjEu/5U3VppbvQVCkM WnMrozJC5NIFU5cOcofNxnAtszt2lQeA9I/F0O7QJ3V6rdEWjakA587dhTEBujYeJqYn2/0i0Bn6 oOV1SUxC0KN9Oujw4lBQwdOvqUstYMC1bIMIJrSSEsR43fpQ59RpbPxMNuHiqUHK23+g0tMZYOmc CqDor5+Fv+AscS/ST1AU4b/z2hJPQ6jpc/FxPEJaXINpo4AAA3elNr34x9TeQPLVRdAv/ZvTBPJG 9AAeCgqZa1uG/5qiNFN9wzm4gZGqWoKb88vHOxcB87ThnwU/OYtYI1fRQd+v923E7Iuft2VjUFPW 49iiEZoYrdeAuBjKP0Qo2fLIh7BvihkhQq/gir5Pl6P6ALlPOipmqydxxQ72FejseB5jZrJqBQOE F09ecUF1QngmGinOTdrTtLSCKajS7QSWoeRPELfsOtM9tTRx2WDSJd+mzsKxM7pemKdA6u4EZIU1 9dIa/cAJU96cb7+LE9CIPCLi6Yy07PuYIEn0arKUZ0aNUVdHfDjn3MNPoUQlkKkypzSOI7cV7d4w 7i5LyKkMuUQdpac84ujgV+wtnF/1WiooMW70vtfKcR+m1KgO6fOrxVfTpsHLTAgqeItGF6N5yIOW RNuFt+fBnnn12ZfEHOXAf+kR0a6CKuDKKvkxoW5ciMCvf4RsVYhkSmRsOTvP6XApXowfBYtG/HBN aB1pD9k/NVHKeYebWnkcWF+TBDUGd7QOSi+nl2Ptbc0EYTl0PxvoQI+qJqiwJ6O0QgB2G9brEBaO +6eSJ/e+ILdGrvbfQH/uHORQdUVCFmY8b6S1yLO5aDhALAEmLUg8chCmklhoH0rCIFluvhF4xU9z SRzPYAtfrjNij6FcQ9BvVnyzH1ztd37L6bdLoruB2dcSERcTrcK/A0rLJpnS4wn+RFABQ2VzKye3 9OZMnCX5aUdQ4H3n7txAiw08RFx5zPy6eA7qANYcDfsXHxI+MGAL/go7RACO+/GQTZXjDm7rDfu8 hvU8itPseXg8W7w/6knlYUyBfJr07XYKVUF71N9m9X4mmqpo2WXN+zNEzDbiV7BcZVc+2ZYYcbDo FuGTeJiiB2qJUzHcGobiPGZtWH7+qr6/4lx9VuaAkvkgJdp3f5MKUWA6n9YWcQGU0ILxttu80srD uPtIQ2+qdT21jSGSTOSOyhV1uc9CsO0oVQHynyvRt2nx8dO1//yyxUb4OohP0yr65pi1UzVl1MwV fgbA7iq66SaWgk1PgCCLnGAVxnvXM2c3mg+PJXCfWrx+ZdcXD0uX0YYL0Bi7kb7t4s75W22oJVHU brbNSuA4jdQoFR6F0Dyy+V+cuptG5W5B46vLGtMy07F+pUDTKV9l/NS9Q3SpwI8OdI9NLfjoGjSU zZZLhKt2M2OdmqxgQz0buCVf01+LSSBJ5QQDkRHnIjV6qRAIArN6ccc63ouk9JFIkkexn2JxvWD+ n5n07fY6wm5wJwf+VLqxAQofJ6pti3hbW2jiF4+AgUQdrZDrkFaR5wM3WzWbFjMAGXEonPWARf2W izQcX+TKyL+SYvxm+Upkxreb02eA6p2QMxTlECdeqyVS8U0GLkzKm1sejlyDDk3eZR7ObPYCfdXw o+aLMMhjjOWKZHOUylCPAe/IjkbMpenn/cL+5oqgzsH3rTarc33lHwrGNUHPdcXUZ79TLw3lS25w MMORifNGSuYQ/1g1r71ENsUdONFZLUfu0zh2BRI2spUi3EYdSHgrDSAGMeT+qEBB3Zuk2FBzfPFa ThNJHkol9kpKQVpWyOI4jqWxlJb3dbpiRyZV0HVgCzpQG36Y/7m3ruXIgDsYRTXw1M4VqrZDynTe oCbe+FgEL7dauQHb6R12OX+/x/nXkaNt+b8uIQvbHvqwcVhzXnIqFOUcANZL7knr2qBAImikKf5n DPcDPvJ8Yw6N0ZcPpJf41kzMC1x0LomOQzsNzB0tanO2YBreVPfGWDztMA64rHXoiAlRRH6b5EbT sfvPJh3e0Emh713IWKeM041zT85k87ePVAZpkrlGCLxB/bYN8f4eFHz5sive8OSqaJ+dW4n0Zfea sayIWCJ5GcHiRd/4kP5ouzaIkdZmbrRTmLt6lK1rJjosAM22Guyexi6Tju04OMlplgknK6WC0mOb KY1l81NO42AsT10eH2AzfYNPTNh97ee+aWk2vUNkdCebbIpLKZ5qDmd+7esp8rrDRzDfEJBlCxqH Q11/GkkPae/KMF26EhUlwyh4USBBn8zWMBvnWUfsx4Znq4TcZPapVjoF8aZATOUd8l1ncmXyZTWZ AjhlxpNlxv1VM17UCsveDxl6hNa3RcjBJ/0uh5S7lptx6F4LWdhoxk54TY0yNQjkkfwVcxPDlmNh 0O73JI/QDRycdwPPVe3LaSJczEX9OPJLFc2LDIwihjp/3Mf9GEQLTYIxule4SFcCgpSvv6E0Qlmi BTLsZHAlVcMLsU6xLAAewVsjPeUxJrwadqQE1MCL9dK9hI42AR5ZFixB9Onk9Z6bS4VqtCfNW3d+ rpGC2GG7Uw8ims0CiCXHQIXtwnPtI5Bsktx0Bp6cjdVyB4Cff8O2fKpr2uB6YsbZow8xv69x4dIZ SoaK4lB+4xtLoe5PsjL/Th//wY7m515cKqZG1VLAhKvZRXELDLV/T1gaYU9Vy6hMZSwbJFXu7Ygs rJQhLFLtyfBWwoYHXbP6dPj2mg4aFJAiVN5yUR7BW2mvKaY5T4oT/V3cXlsadvH47UQv82QSdui9 N7ATkg0/Q71Q98fUzeIpYCUFn3B/ARbYz7pLePfa19mUY8YlJDHhJ5F8H8RR6apM14npiH897fTf Rm9F6RpzDvTlYD+F/iToO4TLKPKPj3U0/j4hhPuzNDx8LPUk3IhQLbfPs5DFTSMbs89J8itzLHpl /WVUf9u6BVkB8SajIpd2rSUtv1yqnMwLll9C+h2giVUI6//MVyZBOFR1hRhJCrOiZk5+gN6w1TNw qQRf+g+y600kJSgH1k2m2zShXfTXdTDH1tBFngJSZqsMGVo+DxolWQ2uKGozqKy7uv7UxLXpUZQE ODy1ypjcneIv2tWQEQY6dTcP6tTZgSzrnEaPQcrJSotlmkQbTfxA/oaedkS4ScvWzky689tuLijL vSS8kIndJtEmaDexPHjWJEtl03ZrMi3fxhuROfULQ2lbOGGaQ76NIqabMSzHHpPkBdLgEEM3ElGc KJIBwII61Ka0F4W+tqKVwLwpFUyRd12tmNZENqO18Wz89YQHX0qNB+N7fZBFp5g3ke/qlBKzA+nz +lmSJUnvLtBI/OoEFrT0ctIBX+cw5GScOxZwapb+yPeu2AZaoijYS74q9Bp6lYRNUlAfPN//qzzE UDUgofUKcHTbTo7bx9khRvOenuHgSMaJVLL8G7iNedeRKdcPUBUUgNBaYfKJNR8RowKOCRd34svM I7+RANWB4qqDxOLeQsP8g+Wk3Getsq3n2LpnHO0+m5AwtwghPD4Pr0yUm+x6rjaJvpAG081sI9eA WlQdFysSpPlU7ZSHrV2Ryf+E2QHVS2OH7JXia602iW3TDHxyU4iRUSSUj62EzrCfM3RO6UbLpzCv F8cvTUdbjlBIj6Z4dJ/Ol6NAxcGl6RhWfsjwM3zDTOg0tzhz2LGllWIrUQdDlOkrX8icCVE+ZkKl gHjBSpCAGI9pimSYHteMYP6sLyb8YrKLh3ixSHAz2CVIiUwA0riTCz4gsSR7eKxNPLZo7kJe3ipD EkJuJT9cwe+aNAbEH45hVr7fFheolYnDpLhApH6wdapPfkKIEZmeiUM0Iwqbjq7oujeze9CcpewQ JhICV6bYP2i1hKMr2hy+zVBI88VsVLSvChj1sboc9gclLp1cT43tMvCPX3ITZYjm58/mkL9ee3Du 3Qc2W04W1fV8HqmRnXcsXy4oSNwPi9nnwmEaJPJcPw1VRKh6V1zd6C5qcI2z8rrP7YYBlMG0pPsb b7hxTSdnswbyJtE130Q87K5zNkjTHdgfSMFzYjoWitNMo6cDU57xMOH1XlBB2qn7fKFYBVCT9e7w 5vAquZBLFSOM5MsJ4YIB90sxlxQe6IjFUwfDkIRN1L2+z5+btB23WXHlrjP4mVVpkZCy5z8mi5o1 /nMhM8I1mrmCkeB0NmXWHZN9Uy5ThB80MsdJ176m6dPfVAWK852HA+bRDGTkgB8kY3tAMNZlLl9V begGP3RQnSRavA48OeHxBJBCOIV0q1jzNiloTQNe7PL4YX6WW3UJUHILr4ZDD70hMmwesL8jfOZc 2Olw/YzA/4qBeH+TOXapoGEfsc/QBfHRpXcCAVhN+1xHT4+H+i8/BqXv4XSgqY0g3qM4l0o6UKrF quAtnJQMcGDAHVqj9q5MFWRwduu+ENgSr+ocCpMYAd4DORiScXpwjIMQSuLbwNLrNbKuJAzfrVA5 93Ao5/YRrPfhLbWdJTrCBneSCkazqpGv6l3bld2g/GxoQ4Wg3enLHqvL1qXr4kB/gwuywNtH+jGV ypFwyKG4OyBV/PIsXx0cBJig/NpbWnFbPG4z1ehIRwRqSqf+wd9m5Zz84O4snFfZ9S0/xBM+JLax moAdRgH6AN8jaaXZcJ3vCasIcEoX8l4wddgI0kVBs3asI7OhFIRPyZOG/i85MglH5h7N/plFjphb 8L6EyiP+rtVkWIK8DRq8DTltGF1H5jSpHmDidTs7smVj2n5D2z6CyWJxSv1qT024HP3Da9zXkYcz xvytvlvLWkCGPrsjYZ0k+0vN6f9AxfwwjDaiGh2bZCZeX6SDRNge2pCPXHSJst+0tfs4rDgY8KKN 6N+/3Pm5q4qNxJErgrYyqOBb7oc1zJYe3hxpGwkFIS4+7mJAeoaMIsYifu7enP9+ajkoFLlGfCBB pae149mJfbU6/+dECY2IWG2WkXKXLQoBsvOAjHfiUHIr4WDozeBuj5GGcbb8JOKPgd3GFIdKIC78 +NlmvmpeIrCRnFhz9DA+PYfgm/k65wzRpJp2rP8kVoRlgs7Pki1BiXhEDE8gU2cvONbrRgKxT8aD t2UIKlF9IY68Xjp00am+ZsxOtfr5xHgYUHTN7uzufj/DR0V0Qd1dv2/sOh/SmIjsHd7wWctG3/Xb cLZP19RyFMRXpO4CYwlDK6RPpf13jBxdh8HP0lCj7uXAS28UxOPvjD+FBUxkUicXMnfWDVtXMqBd f1wijLNCgQHtNA18zd9uiejZGSZQhBKRZUv++Zc2Qi0L5o/6S08vA2HeYCN8WUbJt6BBNl+/MYWO 8VE7TAtUuHLDhb1RYaJyuV/FL2fYBGc0p6adlwqr5qwBfCwIPsgs+mHCYeOdXrZ3hDKhXxtnjXyV dLk+HvSRWw7hnjnkGmiMhs7TWyOYT9V/YjV2oLNqSTv3OiDVkXq7OlmAa4pNNvEt1WjCOKRyAxjy OIAc+o61gs5b/Kz7xFtCaVLpJINZ+qQA1r+76mBDfY2xCvekT6kFL3j1YXGGFQzHpmy31eUlNfqx ovtleeBhFSAMefaOTzBR4Y01D+tfabb/QIrb04meDX4cGWlPp7ev0hwKLT52zt6yiGnYhEy4KRR4 uqcuG90jEh3pklpPJyGm5BWSXuBlGEjSnMfZzoQMommo6J7XLlkbMN8w0Dv3GanRNUg9SL6ZCkD1 d4jbr6J93GOiKQPmgc6sjTrGfhZNF69zncCcGvtn8eJT14K3CPZHOe6y+XecUHkR8gkCZiyrs1cp mocxHk8LMnFfsInKlealjyQKmsyOIMQQgWiJe8ujTn52T8oZpA4d40Ut8m+5MnJvt8oHC3p+xyS4 iCz0XGtni+JvRJVFFJiL6Vd2bg0g6genb3OWIeByStEd2GONAGhB98Cq6x4gejShIU6Ub1Jc8S8n QMr5iYtAmST+4jzaTHoqCrULySnwvPP/AwTX076BSMvC4vWjUxc/o4OoWdmCWvDKSVfPDe0wO3pj /oH0Kni//JD27/KVomti0ikWdpQieNs82ePEuV8LcCaDQqZJhE3hPH9Ca9xVOdS1mrTXrwHnkTEj gsHZifAqpgGU91u0PHE1pwBR0bHRiENFTodXt7FaqoPFRuPzNsyku9WfRQ+RiwSdnSrPMATD4xLR GiiyNzAp2bVTfooOWgKc+RMmSLl61rZ9ZjBCoOQS/ujQo7p2gijdb+TAm6GBg0coC8int9XQo+Zi r7p5GT3lDi8raGp14MZYXu/fR98VUFHfUd7dcVbafSpLENasgJjxmMYvCN1HX29tzzkzefWeg/Pl Fmk/TQYkFnHPxb1yIIAUxmmzOC39RsS+xEOEgD7RcyGX3ucy/QS+cz7fcNtoa2ud8Nq+Fl5whiIm +Vx1uMlipI2xQnkhC69rwZIbHzSAgpXrvU3ONchG2/pONw+GOxpA2M2HHVs+grE59s2eooIqdoBF e5zhOGeGwQi4v7vMg6n/EFh8hRrSLqk9TcUrctFuJhFvbfWGQEjYyd12wKQTnhi2dyD/w9hCuTA/ gdjov3wfc/WbVwhWfntqUktp5ystzWYayDSi0/EBR6hrcyiwFKrx/hjh1CEuXuYIU9gVTNxDe8O+ KM8Dki9qFKOvRZhLbi8nOwNBGXFOCt+jAXBMqRwmJVQgYyB8OjeHJ5uoezC6WONt9e3qH1VsHim0 XPoohAcP3ZPXQjHIMioHy/uyNIC8VaaIzEbDadPgjrVergdSybHvSAQ5EPr0B5K4wgbefI4k7DjC yjAYGA4yKuXgwRT6ruZexlKhB8SsMd3kR3Two7WoS2nkqs+xRzmxf3csrVlXVL+/djqwIoPTptNK o8kgV1xyuZcGPoDkENVR/OUiLEnVcX1lrLK7BI4lEqbAFSxIklxBisegW+pxknX0riU2PCKpHnkE NfgcaxcQFzfsGgArAV8BhHeha67tWvqGNcr1vByfH1MI9ql4BPwDLUpMmsN9Ymx//HXq7Q3equ1q u8Of9Q27Xkq3nn3/A04fToIwEcyGmiLZzsZaGH/RpJUWPbkf3gcCPGqHZ4vgnT4HZyL38YoKr6Ew Uuvy3aWmhy6fkcEKeAPygGP3ysjDx9isnSFyEfJExuq/0vjv9CveXQew5QfqSgA8CeyEXvWdKVWW nyMX/GNYekA7nWSy/+gYPOlksNeubvAaJHf6DAuqHVfTYNpef+bahnXhancgQkHFoRlftbUHxW1e nA9LzdH1+Q1LAFh9r+rrz+5iTXXDlflhlaN2EtcBoxToQl2yIyE/RFVqut8iBc6eVmLYTOQRz/el FqQfoOrVXP+vYDEh02HSY54VeY0gj8q+45XoOs5JA1DI8YlBxO1RXw2cDZK/QBaTzNLFllZmwz/Y DPfANc5ut3AyMy/focVF+BRTqgZNomg2eOc3amxglm540xFb4M5BLXr+uxszWlIkEhFfewDiA9t4 AA/+R1uu+OpxrDvWXXae8o7LNSbvV/w0pjiC8rG324cLcKCMvk+ZDPA3W8F2/ksU8L6qxVtf/Q6v Cjsp4WAiohb9wW3azlmYeJSaSlNMB3jFJ2RR9IL7ggzzq5IkcGAFsOerHq8ScL09/sKoXSlG+iM/ 956cxfUnjj5c2ean/eHwjiyItXvL5pS4FlU2sMpJR6fq9ajM2l2b5Zzzyfm0Rn0bQojgNm26HeLp 7qLv8e/jQWt9WMcFeCNnK2jEJa9GbqtsK5akheiqc3DJ5Qrl5IDfx5EMPxFMTaM5BVAnZLmABLiL suKSbTCE8CS53OdMXxgg9O7ABxWUgBwsji97X+75TykcvS+//QzJ94oM6z7l1XNbN0sCYoRamWC1 RGMElCBV3yEPWAscfRw8KDyszAJdgw1I+8+JtHlb3E4MHJ/0S9AN9W3bk6msEtRT93gRrknt/WzA fA8qTDAfoRGCCkvPUgvYWmHRRf/6mqx6B8ZPFwSp2iiG9nyZimMsp0ksDVfavpbYpNs2ijxJpUDt K5FtJiKdDQX5tzFvTtEs/K/nqB3McCROCIJjMu5zBQTGIb1LtDJljmJ1DbPnrmszEfauucS+Ozkv SXw70mNIrP6XweaNSyJIzXFscEgb8ZL+v1dF8dBUiXFCzGG4Ysq2Ng6macf7CGvT0VLrBJ9gjl6O tXzAx/HTKTy/asZ0OP/rNL5Dzif7lNZor14v0Pud032vw6YqlWzbQlG4l/WV1tPZyomHHkBJEzOV sRFxhWGRARZ3bdvUX5LzVWyoFnZvhVFXhusjuL1kDC16gi9+xVD6thAsYSTbIJ4NYu9HO1A7ekI6 DV64j4Xms9y5IkDFu903NbFQqXIHllgRDHtpiLRFgId8v4qWA4QhM92p8rKqnehfya/S6DsbJotQ gTsSK3snnMw5ZPgwDegctQKvuoGba0EVJp7nhjmhKApwyQcINigaJDtuc5jnabKSyLHMQkZG+0DY TamgjoaALCRgP2LWzX3Nttkk+kXmFl2N/d7Owp2X4eS5SJMf6sDK7I2PshgeQiXYnWnjGKaAkRqP 6gRqiJvkBxR/iL64swOT5bRUEfkaxPNqIZyh/JhDi2tq6Q2azeBCQ/eOlOkZ8xeFVAnGL3I59ygK urbfpF9ANXs9J1/2O9xSc3gFi+omVBGs0ceoE8PKsEujPeDSxI3kiYCsiuFCv++d0oYdg9EjIx/4 oNVuJFcpEnmAP6tF0PiJpD1pW96zaVydLLsgGELnm3nGQH30t+bl9WpheuicWkwMQkdt4PvQmK9O CDN3hDTLe6LTG7bPSg6a3VklQMVazRl8WDd6eHaW+A9liyiVcSwCl9u4pnuSrJvCrimOfzrM6/Rw HFPMcHWugMRu7cHpnCK9+4Ng6qjoUQx7ff+o+UzWZFjB0K5H6m3H+8vd0oy4sDK+j3oSnXRC1Gmm oK5dzYfjQfOM/61Hk1uZZ/FzRN/n4YoOlr8XSCzr3U5aHTxj/qQi5PUnz7ghaKfe5FfggGixkjqR gxCX/Ux/5qVqUk+OcaVag/VrsLKrgfE0w2OUivi1NdSwW2sMFcBArCxUmWDrFLb45YOhbRPHKVtF NbQq85xzo6+PQxkEMRzTdm8Uil93MsnrtOqpfUoxq0nr5/nJJq6P7lMu8BVpZB6KJoT6KamOiqQ/ RP14QKVZTfhLB0vGnGb9qSXCNFYGINQxkC7UikbJ6vChGxRI7lbJkbUL2Ax5bUOU571AzNMARBhN 9DAskN8uHUDd45vDnuSxvTKQVSk5gxZHYO5/4yVfXmq6fkj6L1a/net1F5NY673DCF/qy4HYxDPv XsWdwzzccc8PQsLWbQVrI7agi6AndpY2YXpJ5Ic7xWNBbbUlJaIXIQUzhaZ1rZZ843t9aHgit/u5 Ix69I+b1bxW/dqPD27Uc78zSDxN5n4LwjsgKQTuqRPbOQ0ptrM7RwhWDAhqz2abTCDgPQmy1BB/Q QF1Z9WSxJ/7avBXbe02s8Txd1W5/19iaO1Qbu+yJklaOW4Zf4HyFl7yE2YqEV9AtlMtSYFfeViy7 wssfVXTjnc9W7ssNKu1cvkM46uocvWPbZ7c0381Amy89/HTv1JfNxcDzrFze65tdUgoqB1HQFg7T jN3QsYAAtEMvQX+q9c84abHW3rOFIZtpTgL3n0nVVjEN5u4h8MIPUEYW7GExutaVSWA8EUIx5AKe Hzfxcvqt+MKS+5wkR5662VqcLiy5/GjjXKBqnS8HS+tEqi4UmgLlWLdqllNIFA1hmTZp+el2BNA4 KddR6yCFyCnE+GhUM4MZJD7Ozm32LAl1m9qc3w1/iUkKu3tSPMphpwfZFB5m4yi5gEpwcb4tSwRO 7Ttpd5KmbwMDUNYWru2DQK3Y9T9esjbEqkXDqJWxj12RGehk1M2Hkq3IjZl8Meq74Hca3Q7485l+ Hsdxcqo6lcklS6jPhZR318GWBXBBCcZiNZyy6FaQmXIzsbxiC8Y01u1bUurG18VySR4TZ4CVI+XX OB9+L/MiVp3SAA327i1IYSjRPYbZhR5oIrqOM335RAH3Ond3Tb6mu8p4e7Z6i5VrYPNgW3bfO7K4 Fbj5v49Ko0IdVl5cYl3bbt/nWSI9z6rNcqdHlOY5XHJHczLIhh1Pa6vhZpKG4EsZ7DfkXL83Pc3P cbFksJ3IFn3xuSTthhw9CB0ztYDkoBDpqte4KWTY3uMfh8sAOok8NXa1QhfcteNDMoJuwX1nZGba gVNZYvbF1Q2jmAPdrXK8OuzOJHd1B/cufocW8yRGIq9qA8MyScNg1THN4Z44aUYorOHo9B9gyEmn jtl8D1CA83ARhhSIWozSm48WfwCf1Q1BzAVzCGy8H6qOlud9VMT2aJnfT8vF8GeXxRO5zWxJfXUp nRQB73yCWXoC3u0uMLOi4Psk3JTe+1tH1CQ5Pfzbz3IXY5seYjqGMapg/jNXTgXhvteiuKcllU/t J0PVQ4fD2Us7Y9SRPmEfK6eUV1Pt19JJGVdCHKuB5dCkJGTrgAxoEdYahzc7iog+cnUoFvGKmHx/ aGbr32cHGZyA63xp4IfkaiaTDHom5tkIzjwQKx67lfGn0mXD6DRxlJAmj6dEUxa4lgW0BKLQvNn8 V76o1C3jf8NrYN6l3T1l0CpQf/brLyjXsUsNauVt90Z+CX7S4HqAQwxJkbBqGfQ6JaczgwEcyzFA 2GUjUgw8MiNzp4zHSMwuVx09PKf3EEgl497nFLzWW2mdUpqCASIaC0xh3xZ9WgWR1IoB3JAVxRnO CQMBb7upJy56xME497ruIKtaVqZXmr1kwn11KafbixLLYA0dQYAMm6xGCeqdBxi26VWT6BUUzAij mGvb26/XCPjXnYsTy+WgJ0FrqqERKoSFtA00U91bKwb/cNik+CQ+G4dCJFWgr/JVQbStw9/cs/za ofRnksuUat/ewFJVPvaiaxfoKFWURCYWIiaeZC76TeHMkxRAtFLwtA69KiNXL+NFMatGQ6wvyrVM h4BAFU8PKnQ1Yl6gYFTCs8G4fSu6gaPYhdG4aNtddmPAwT80KuZ9kmvs/uXa1scwt7YQMVRFyYfb hbWm844Ln3tlNgV/PP5eLxsijhr4aBbdGaeDMPH+ICRLbrjqbWpIdime6j2O6fIg8M4kZiM7tO8c NW9VGHB1IWbyco3McJFuIjJPpfz7NdhubUfZLKeK0y4c3cSnY9FIwobAd0U1HxUeYYDW0IEKfYUB B1YfrE7DlGFwWqI1SvxneWZC3sTBB0nGVJHSNIp9hCZS8x6q67vSZWKcwLOjpSY1XnjFPVNGpBB/ wXGYNJ0Hj4K2xKey6Jx74xn0RdPK4VgLGfl4JZ5eDFcCoxwBmHpKkpAJXOtB7UbhHpmMGbOXzcqd GDpOOwj9IFxFhkaSFZVz++4WDUCJNJj2a6vYjiSWkauxagF7+VggYwaNO8aoYo5uyd9sC/Bvw3gf tDqbyW5I6D8uqLgnqVaxO4s5iRs2hDFWt3LlLNK8RuEE+dozwAgl/gthzPNjjeA3qkyaCh2FN9Lq gxYEFAco5iV549wX+af1whTbUahg+doNYH/Pw5BEvVf07tUAspNhGtBJ50jrPbfL1oEMFWMOetC3 lLqT/VXjWZCeK+Ko5z1KCEMgK8m0G4qCTgDd6touuYbCwnR9Zz2q04vx/HX8bXO8W9540qdIr4ZN b8V9yvGUZXhuQj+pvKWOkc/o7+8nSQUiMpcE0mVhivkfTVWFY/C2PHoxt2D0SLvTTjcYwDBcPHqC Q79Tq+w/Z9EnytQpUf38MxZFULd2F3xWBVYeCBdaQ5AkbhEPNzKgZ5Da8wveB8Y3vztitoaZpidn GQ7dUEp1MCck5uyYTqtSY9cXeRmhg/3gVF8hwSfKbvDJn8hDD2W4aOqtvqgRpnZxtqgJ/MZaGUcX uB/nl7YkWH2tkEOh/m497xOjqaFq0Z3HnuVWmpTwuV249b316cZni5cwBYikGYfk9GWwY9nZsjBN PRBDcJgY6irC9K0qA2Q/Wi08HrMgiZrSpeluC9NcXAZZ/zss/IuqocYOAWQfa0GX6TpNhpibKpzd BHK1R1SmjoQ3PO/AskgFLhNMFurmUbizfxe5iptxI/pLWe2OY4QoYQMxgilfHT+kvpVGM6iY7pjT YqVBmYo312vyE730jO/ZdjSdCZWImTCD0u59NuxqAdZdnjgO3wRkxZGYylmmXo3Mph30Mqf2N8WT UHTKDeExLOu7cl20Ovb/KNaHTH4hPA4esXvu4fka8z/g4dlsC+NPm7ppLru1KyBjGBwYSv3R39Dn x6zQI9je+gptu9X81PpHGBgmAz/lE3enrynS78ZlhNzFOXGvjOkzpWltSSp3UEEG/nC67IlgvvJy lIioQXLT8Puah8H5ci5kZt60luKj+RvcrAmqh54LBhe9KYpPP2kszOq/vEz+RUsEUCxmGYFo2VW6 zjoRbhph+zbIP+Szu1dtaLY5UI0UVCDfSniXpXnSUns2j5DQXL5KtcFFy1lqPQy+xGVAib8LNGOu rE/LDTcfkLCTWcS+GszQrY/gr7D3ndKXSnMfbWGrmef+wmEe+GIs3CTEpMejPywpxYdZZWFTLmz0 DPNXg4e71lkYK3Zzo8kkanI48S43qVFhXAjmVvm4eWRKkujaFCG/xbMsBpJFmhnu/Ud0/CdjebnZ XDMqkvAr9+vMKm3MVT3JBVtGAN445M+mILM18BN+IagACLvoAmisNyEUueRTl/QWkbw3+CzNYNj6 nmCAhLtfMZyvroBJww3I2f4X6KSRd2cMT4OkprEOqNEjUjM9ntAK6E48XTmq6A3eAj1GOoPryv4n Qsb/NuXITRYcBhEIHkDsCbSO8nQmPVkr8wI8hkPWOEk45RaJ8VH6RQtcJ+OGWepIpsta1YBokDa3 uhztjBpWrUH1z2DqFiVKXffDMN28xSO6lSp5sEBWad82jaOjqUsw8ySIHQrAnWJa+BSRR9LUE8vA VmVGHrnrznjOp066UOQZP1RNjcQTH31+Bv1pCfVi+E7PaRiemqltmX1hFDD1LGFApR9ppbiElVWs 6XvQqKn6F/S4qHITIxOLZRUTLl3KHdcc65c2iaCnKgW59wLujQitmkRsvrd+YgXQlO0SPmoegC3u 9vhTvbIJPsxVsP+Cu8NPFJRiS4DaVhllOG4NdDUvOiYcOt1ABlVNXBc46wyRuqtcZrTut7Kt/iH2 VThz8YZHOjAUG0qpklnpsW2En+p4Eua1E7xTJvtcQZotQNFiEZZajoV+hzw1M67/UHxgtbzgSTN6 D5IMME/1fvt/RMggoOgSK+Bl+A7zjWIMXNqYctEYV0pR6tKSTGGCOU+VnvorPvmhL3/AAal5h5sz 1srjbjaNhctivP6q42JGwYvwkMUQwKKsSW93mrsU+tfnUCA2GknJfnSLwluyJBXrALev8Hmos7rE GR6MHhlHNvO+ZClOO1cOV1tYTIX38DyL0M8wY/ICB0ok/TTH3IjzSV4+Wqxz9cHim8OjISaT8FZ5 1pMNqpSrHbXM2M238ajo8N78fYIphxVHq2kVSCtwVEwhU0jHN6a1Bao+FswbtVjjm3+w2YK1xEtQ ExM2o3oTKPOlbuPjFhIbpcSlDcH6pdZqyQ2mM7aL8nM8iPpCskwL2EZV88dlQCtT6MNi3tmsZKtb EiDaBLPlDfSzToYBXNXGi823JUeNOlYf25TbpIq/m31lATYSfc2sAgW/lCWaybOm4kkqw8SMovfd 96fKPPdGUDJx84VwXw1VshT1CH2nli5BOdBnV9Injw+zQPxwUyCppml3MiKTLQjc/d6KbPeQysbW Aq0QACQN6fQ1GUO+p/TJJ1hs+qrjea8U01EeTlgGDLeXd49X71cNeRSdN24giv9Z1k0nHVqY0LSm DXCbyanjyNRlaKxYIguDsKpK6NIoKhdu8Q5QAwCIVT858J/M0lJqsHkIFJgaVJPM4LCabLJub+/2 nVXFdLH6GPGu4bFh8m0rhnl5txFwUrlL9Ieheqf9kfxKxJyydgkINVMq04jdrv2cKyMYzeelpEu6 lRkVfTCq/cxDmPEQMpfmMIg0A20iR6/64pH3l8Rrfy2UGa3rQkQU2wVmzdsr16S5CH8grzeMR9WY sY7N8LQSgchab3mXeN+zHuXHLzBzV0FXJlX96zQKygY9KdWY+7EBUKWNumjVPF90uytbK+7SJmfq hXLDKpP7Saaiot807/l5X6DGSJ2AflUkSKMqefS9BTO1jG4pG8tnhfJ1YWLkdWk1eqz5t/ofRvEC MF9Cw2Kvm1Y3Eavg9M0/TEfIAxhh0mozMGtcH9q/Htdgqeyfp/VZdhxqrBV03sMscZ1T3sY8qNut dBlHV0KwVtIJVS/z/tmy4telzWy4t6gAvva1Gdq1kLd9aBw0gU3W9oQeb6wEB3dReD1vvtQwsqsN 6/SH2uxKt5akcbXnVzp+9JJ29p0ZC77lwjBL3Bv8+/mQV5lVc/fFTSh0TSZPsKQlkXtCMqzjinaj V6RQ0UCi8uY/QtGCvAiGPJUV+KzQZEYX7aH2FS0aTV8VZdsbnx9ZZr4faPOMQzAnF+b4Xh0YfrWu TerDieD5dnTjsj8iBIr6hFf2FmvYAgdKUJP3xuby2j+9njM6QFx9Js7AlEEyypqguAQ84oaysRAG +LvKAbWMLJkYy13NVRnIlTtrYepYSlMIkUsoF/mt1X2u2AoPPkh7SdPfAkN2TqMY0OIYrWC+bFCG 7oSxxK/poQCSl1l8BVOivvLKB1jZAEChfMWG71jdDaRanMRrioxHYzW43Pwod3AhzwXAgBYJ2WDt ttAvhGCcdW+qxYl0dUScA0l7kIx2b+YTZHbbWzitPKRu8bfQxcIh/mkoJaCIaFt+DBpDpBcNDK5r HuyVgd70YfEWvcLSq5V40A2e3kY6YGqqzGn5FdJohZTl1VfsF+DhpFOCjUYSHQakzjKc1lvssN01 vRxjaVYA0mzHdVfCzYM28lsbLcKb6VYgEDOybCRtwUdwuOg8j0PDqP4bduzTXl3gweKruCcP8H9E TRmpgDllGtBlubwBx49z2wISR3eA6bFvq7s3tc/qXGhpT0uw0eKiWfbukv9WxWmuas+nhbtXh/M6 Uhk/Ych6UM2Jdy5gEdGTEafbVLG8NiFyUDkGQLoiqFH2+danYjGNN4bAb+1UvxCuk6iBrKGMayVq iWOr5PqfneSs0YvshzJTCixgkmHCehGhDGT4lI+FRQuJotF8uzn2G9z8K3gCOzOI4vY6u8485vSm S70JrwqTwn9r6/fM1xWHu4BBowTHBP6fwIzZ1Kcfd6LxoRZ7FYLRdvO367FELcrG+VidHmPd3gC2 ar9hN9fhA7YgyY3yRRNyt5fQWqRGm3yPuLtDTrElqP35Va0JOJokSmpmNGWmEq5Hj/Yiq64L+F+C ePqiH9moOBW2HUpQg5KzvKZJsEaj3XWe+2kC0vuV0zwYb1NiliK2EmxSj8+k3up+9FNV3+TNUZc/ DdS5RfrPlg7No/HBudyr07yZo5cjU297f3o1YVzkZ72fQuCr7+C9tp8y7LZxvx8wFRtKxbPTLIoR ofbKNYZu4cSbCnxRRh1Q7Bqp/v94SHQEKraO6fcilAn1c1r9u/38TjOWdgdf9Z0AmIOURtFBH1Yu JlQJMPn0TAqnAMHs8sWr+W2Aq138TbWyGxB/5czWgXS9VJ16pYHUVZf/id/FUvlFrP3LzVtaO4yO 77jUog2OYtHJm8tU2CT8nOqLS8XeeGVY+AnKhWQiulRYshCamMSusnPpmsZx48ApY4Qch42TGIMj D2QUfqEyGpPo7XbAc9DPv8WS4pU49PBF4c8kA98Fmjphid67Dteo4DYCX5o7NiVjSKQDsWx7ykhW q6pHe1X9xstQ0RunxfdoRrdABHw4T6wh/Ha8X50SmwDUc44+kvfTVDyRIVezd87w6tHa7N9aAt5E kHLvw3pNOtxpinTAjhfyoHlbVDF1FThu7go1SaRk27tHHAH6TicOp6Jlo4COsu50DMrF4SRY9V1V I46I8hjGMpYC0dedFGPGlkt5dsl8oTCAPvKPyLnLq9eGqbANXQrDnuQ+a1s8Icrgxm9cud4ILMcE vyCrVumQ2YePWMh0bHBLkYeMm3myv4hEYBdDZVLMlglbXQFIc4n/0+GJk+B4ImIuyE0nqyDlS3LS iTAEwJxuvYvbTcSrJm3ayNPb7sS+Qh/SBgQV6ua3hvEjbPJm+fbHYwz1sWMrBLjAUYKET9a8MrxI Rbz7s44jFIT1RmclbYZgShn1S1bkBLWX5u55ygTL1K/emsyWAf1ib9fA9yKqUcCAGLqm/FFbWst9 YJ/QFlBHFtWgfQFkEzMMRvP+j174gmrufj+fXI7tf+6G4foxzDLMVri3TjURpHYxDU2fZ4V+eGj4 BwuXgFWnghZQ834QljCTX7X2Po/41OLJbxySl6OE+3WWAarJdq7bVUV5mZ+BLlId2gXxxtd/b9VL kU/tEppXd49jl2k6tT5XAgPDV1rrqFYpDvd7rj8t+J1Nj8u77/F60IG/AaNfjVq6S4u9vjh4UYgo 6vmFZ2xOVOzwFQQkE1bOg1dlu6nCMBDnOKzhJStzXP7nqZ16WKxyrVU9X1GPZoLPhNAVK37/x/kN 8K3GkliIBsaMJW7aW+QC71RHRkw8YkalfAg/RkoebJMazN0mPRvhGxD3NjlLT+6rGmxcTLlXkO+a gWCN4w6xCtZ2P8gTklq5Imu61FTVy8pmRCgl8cLZ4BCh3gn+3stk5naC6xN0gHs1dEf8PHrOw5/s oM+VjXaJlqEtg4VC4t0JNAtl8iMdN1+sD0VDSWjXaug6lxRu5cF4JTQBHeWp86udAgZRy7XZ4rEY 64V417POJypMW4+pgzNPaQqQanQIaZE0kP4qiCjnF2CVCc5glKPI9YfOfIX1s4GhmUcxFaXNwtev PDH8EdN4Q1Q/eY1JtS2exIe5Pts5ddfThtQUnmBStzZCcurlZfkFVn7f6APH1qdaawnhL3l8BWgR 18w/hIixxsFSdcYECWnj8yc6fJ1HlAh1RoemD6AZALFMo2to8o8Yab814sJ6VaennGhLGHg38CqC eLyv2R6EHKJCJu4X0c3VMiXHLaMrVkazrG4VjoTv5mIiP/PRWWE5EMT6/lsXWyIzZ/7IN+lBFv6E 21PAmznxwsIJw6WsNtcANHvJfRLmF4wkvDLTQxAYNhGl88PHvCdDav/IGjgfZN2u81mA1zCBYFTt vuxkun0Srwj+bByKbdJy7805USCoXEC2vvw9u434Q7okm1eq36wMv12lYXTOMkPYBVPtoeM88/tP zak6XQqunHlGcGmy32UCSsglveHAiE9BCCmrsndlqdJMmIlhAO2++vI5QNXCA7xQ93V6n9xXuCCm 1CYwtnY8ekzfeTRUYxs5gXOYCDISZLCAIHq4bNUIhe8/DWXqR67IqxjI7A2nc2mVIbE3xj/8Eqlz eRbBxe7TyGPLRqSOEBD3wbcynFu2KXDA7iyvYv1iX4WMcgG35caPKPByQ+Xh1PyF2vK2NXpDN/4Q LOPWuhso2hMTUwM0ZlJGmG8qnZJEHcBI93qnFnDp5asTaR4nuPkCezIPu6FfQWEng0TLRCgQb6ty Aho3DqsUP7MZX/Z/gDASpWuha5OyqnWyi3mru5c4ELck7Pco5eVJuq9NcZr5+/BAIgA6UYNxQ7VY gc5u5G9M6GWSvyIxDMQf9g1L7mRqUXmrYItl4WI/kVgxTaFH4hktYhNJCEExoCcV8CKj3EfgO8bi qUxawdd3mue9x8Tim9jc37XYXnQLFQ6vjoDLISUhuyxC84P1s2G8LILWcoxtVJtC8d8DMBB1PVox oPRwU9Iai5rXNm+wF4jglzlC2C9qzqy2eaYqTdgMMCyzkU/wfzfvoifGZ3nKKKFDgpxS2SzqfsQU IfwYWLRdeXeofFdq2ejGbH3AQaXNg2X1lZSwkA6buZi8aI4roJBd2B9JTym3HTIoO7KHgA1vdZIQ wmOarwGpv7voXtb/aGj1MQv1TROsoG1i4b97eIGtN1en94fq0EgRGcQ5/QDFB0kyoSFPq0RgMIE8 itOhFRP442jAMbgPhHvXE3tuOdtbaU/cWq0mX2cfV32uQW1qrNOzfj6yO/1MpF5Rcu4MFh9oViQc Ga/KLb53xRR5IPlEDxMZ33ZZjlMsphgSGJqnfwd0o3Ch/vNasoEh6pu9sOPhnHPxm19RmiBgaJZ9 IrnNUersWIL0PTrwZrrzMO5frN4gfTutq9Q2UYcT57B1hj4NHKlNpFtSTyKmwgADUhdFjSPeuPPT 0u0Qrt2f2WP4zHGQlRjM+i2tBtKWo4sUDIslNob6m5TS/o+/QsyIVoZD73qH0fbHS0UqhdSgjYTq XYl4oqvFRnHLhUQvYcJf/wlij3PerxQNandXKOsVkBhW9KlJhOniYX2eTx+vaUUAZCs6IgIU1YEQ 1lt4MNqovT6DoBpWm7oNeLRwsVyPd+dh5+NHgg3nTUOpLxI7D8mlUTXLIqFuR00WBgVhJvUEjiB8 JSi3deN0SYXY6hdzKjFBajViJNVzJrRQQCAFIA3/duzcc6g7ake5q2SCAkldNtq5QiB3C5EqmHHZ ORVt54a3upiAplV/z2S1Yqs0K0jzBKZACu299HqyQCllig1PbyIW/ED0godOweDY1Efqxxe/a1+G AaaESSkNpuI9+lz8J90S/2vh87tMFiBGY/CxQ1JejTxn2G45/LkPQA467a7TanvtjDKGb33+BGT/ vC7Qr0RTfcZPjaZYhp3InwHenPJlOBSAzUCpqBroB61xY+HGPAdYzeVDIjr8eB85qc+h9rwlDiUi wx7BzdP1g62dV10WQaM2NQPpWxL2WQC4izF7rvGiKU86qn6gFtgpidCypOt6v1846i78T+kpjEoS tjuNahkJkZHn8R3gBerNYgZR0qatbmG/NyRBTPvRQapL0eHG5lhk6H8thAhgBi/rQgp3NS+5O4cU Cdk6CkcmlAkN9FRlBq14/rG2izvlcdi+uFkrLoEPfiEiEfywt5mH0uB07NFYvVndCkx/ZLCyYxvu 0j1F1Ss5KnMT44KNUgQbpIOqpGK+PxevrzzBow2rFeP2NGdv4vNpi985ynQxlC93G3eZpJiVVw0W uLcv5v7ZY95t6UBFRY4yN8UPQhJAQ8M6T0TxxQ48lrt1/UhquXeJKdQPxPYKiZVjS3EOKDVmOMaq HzeZ/i6/tYELZFiiOORbTFE5zwYTGzp4p5zCoSvadIjdSWj4+FLchtQPHYBVPbBpcGxfw2W1QYWP dPYpahwn7W5CM5Ta3nmohItky93f70zKmvXDObaFvfg6ChEiD2GZsZgxY8eqcsL3j6UILNV/USCe Broff6TwDP6Kisnj7g/vqYiMzb6hpTRiD7gPSQHsY5e3q6Jz0kFwZcpL7KuthhAtpabSrHw8TZ7n ll/pJ3Rj3jpjwnVymBL4wiMiTwOsQ7RMmvnzS10T3s3tXtZoFGQRzn2ezqff0oHJxVyvnotjm+3C 2pYFIGZfM73h4SQOhTAfR9CBHZWpFj/HNhZ4KF44Db3mCJau2X2E/+yLVk5xS+lChfZ/GCF+r59u RQlU5egFMAtj5yBY4Qg/2x8nCpFq0m6O5Q1ee9zFWaIDZu5XL/530r0kns6Wa6XuvJHnv1ecIDAB RW1oGDpKJ1PznUnJ2iJKsVgwBCXcyY53/6WIUEFyLxOpEcqqzXokTTCfCK+yLYyMQMpYIXM8zzdr AB0YEgE7yNoEngkG5GOHJ+2bUtYdy1gPcW0s/EUCKYc3QGW+/i+61P4hxqaOxYD7TFgOm9lnnynD ngY5brhteVjejCiT7O3WnOciIvWvdP2DqSm/EhWYooshoYoxVnhMGDriht+TEC4cLdw0OC4fESYI FXtAzm0ZMdABe1Iq9XMagpO3pn+SbkS3aVxQlReE7EqICuX5zfJXndygpSZS30Iltubb+nsXkJy5 v74bIT5YV2bUqMyM/2JNlxnUDkujjYuaRcOWlzEGq4XtcknRFfy2uEo3PvGRih4dhD/NwvvxdHhT BHoV/kYthnYLsnREkDwjOdrTttcORv30/RM4gWGsp8Pj3VFGT1V4cATE7qsOe8JMJ5wNBIHs8bz9 yqye1D04k4HpK1PITrrayb4/wj6FyHOg51deKG4oFR2JUv7P8mc30kvCkI0naUrRH23mzjGkqW/c lpjGNZpHPWes/M/cqDXkkLvtyDvs+cI1FsIUTBpqyArt3D8/D54pJXcvab1wry8989PePpjbVcFm nPXX30N3m3CRTzcYrsomO1cnOjAEO2SRYmxgGXk4WaDqVPycO5DXfTZ6AvLZhqOGGzJ8qh0fnJfD jHXwnq1ZU6ZSPa/6s3E0HMNF95S3JsZ8BzFBBXd+esOPQYflgyo0gGKlczkB4wetPorZTrPXnry6 S1Dj2mJUo2luYtCXIuH3TqyqZf2LpPhcmRVbXaS9B171uKG/A+750pFLepJveGG1NNr2alhfvJbt 0vzhFLvrPHkytWgZRwa5r7Tcm/haMOvx7K3NfnNWrhX6gQlPW1ILPMvPH+3XzCDY83LuJzg+Ur7m /xqcw5ru3VjO3w2T51oKHubDY7/gK0I9fm95DXhnWCWco0ugt8du+qE60Vsy3ZWzIP9PWMm+CMAX WC9tzUqN3fz0LQoJ2eZLRQXSCX3JYgN6D6eBmbPTohrl/j63P4Ut9LqijGRJ2aEs25WLxgMYS4xa ANrnYQ//ZEcLa++zzrMwOeG0FDxByTXuEgQaPAhPSVCHkj7JxWzkYJ5SZxJRhPz+sCoPp50VeFPo Gxr5ZErFhLUGkNBKfToAA+H5swRXVHPB4lOHCBaSYWKBmuR7mFDRMWdHrf4xMq4kHNmRuCbbcow6 fGjuRnTCaL/PrP32/TtvDTrgvDy/OM5q6nb0A0pxT812QalPdy8jCGQjShrTv8y2T5FYXwmWQXx8 5mcTdmzC+MYeXYPiN/ZoVNR1BPhq2OsYFGRE7s8RFPYGW7Mq3y37Y1o1rfG/+cRiH+79NCeZKTID edKLaDnY21pQsxplTPP0voFFX8uboHQpPtYeBQqMTGZpkFJomWt7sanZGYuOM++tt3uxH7ZzTxdt 9td6N72hAHRcXT4IjWRlbbCiHRn91UgSbOwOK1900PJpBeZVq8LSFlUbdoRoMn9+mrhT6C1/0qCl wPFrpH0iZvgCflBUFQSphxP35InbEahkY1QPpHSqkBkmvk1fFXSgrmKwEbkK7eUP3E4SaxIaihz+ k1HwrN0KpusDxTNePfBiUQAKKXO2hO9/OxTvWxfa4ReCkcuuWovdkdOd4Fu42zvJu+hWdExKAJhd PPk5ePK6Jxly1vWhDP1GK8mSdFlp5DaQwvikBG+d0p+ns0VlTthxAc7nRMTewzuF5htHVG7glYpH H00lDSf6c+kBNuJwmgzyL9Mpv7SVDAkOeXHaCX7vciGaL+UGYhxoe74nRDkqAWgCr41HAD6TI2XR CtDzUJRFbUb1aFFoOkijbji+pggKuRZ6EiWh6C9YjjbMupMN41zhJZXttb7W/oHOgAIRn5u2ij0A 0P+/keWK/pyCjZbnqUe3q5Ncm9Yka27hqnxiX4Xoiu17gZR6tIymFb/SbL5SeGN/nB1b5Gnt0Q9e aoBlaMTqGrth2EKTKyONmWPTjMDXtvnI2vVTarJdI3s2IxaaqH88ft/ni167qeVHUxels9IAe1ML tPeg5aH+WreWPs+mqVNHYkXi+NU9TuzCzYDyOBOA9VDcLXanbcbhZUJsyxmQxI6fcdzIcb2exN9C I0kCRHkMh9e6GTgFUo91dV/J4nSS2jH/rGU0CGKBLmNQT6VNnICMSg0z8zEPjgkMWnplNQfxHdIh nucISRA0MbE4fTwEIDn8J3n1SWiETG7oWgWpwPHarbAhKmdgHhJJ3iENv23/mts3IemwftY7Tq9g JhHw4h+dA1C0g9onlViBSSLk0ruz9jz+VSjOgS4y/IDMvAJkTYzZaFeBnlqK3Mo6tSgE+399khkr CIIEPUnw//t7jwHmtlYAU8/yStUy1zU36RzxH1hh3vap3NzghqFuI8ZDzLGJV7PyejBSn4eQYJpw 5puG3xs7ri1Pp78DWX0ghxjITtjoWzsOYYMc0olX7PlC3r6BqQ42BVflornWrGUOK6VSFNKg+k/5 3VErG33kWRGjpf71qIpi3rVFPTfzwHYDk617sSAjTV34q9qlWBPz+mCbujDV9qWfSo+jpvFqASKL DgPyncJDIASbU25Xb7OFEneoT8D7KCyuNMHovQOyFyLqnEsblkaYYbexAJ23+ZmvK3AIFqtlQXgc 3aM1nGTfoMgwPArzJqTq8QIVBBkfiMPP0bSgq7OOzvezwtKYoztKr1PwRCDJpddJ/eZ8EESHY+Xi 3DDprW99LBxra6X2GcwhI/sZIdBHTCn3lpglXEqVYgq7khyisN743zckCRCb14DUrxnPVcQzOjVP 38MAQv+MoimSkWlImMYsLg/PV5mpjIuHk2wmvghDp4r5uwYAX7R4WTrAKbmaSyNKuh6IS2p1E4LB cBMWdmQT3R7sFC8/G4UBkP4BkfE5YMPAvlvYZSH/3NDCnS92KSVHuBkHz82AJz3JwYkmxOPr371+ aZp0CWMVFWhCHT3w5gQQ3a7ZR+SXkdnzFoqnNrDxjve4R+nIKLzLXMGRAnarNP0rGComn8bte59/ nCBxivIeRDTq5XtZRNJXfgIqt3xuN/emY/NLinTmsY1le9VdKfu1zkdYFPNxLsiLBhHXzct+8fTn mPTvW3Y8S0UwWCKmYoW+lrKDcxH1YeLyauj7jnsByzXCuLHqVISnodA3Zd7lV3qFkfvC0Okn7NZC kOwTOsCXj94RIvisjEdzRqjiNhuk34q4/97ZGzZHJMyltoNFq4QmUFVMJJjxFYutSnuwP0iC1g3F oithVJzevzQp2RQ6HaY0C9zq/7MbFAzjDge6/WMqUib5W0JdBj+VBCsXwZlHhkSDM68aw0gFLRKN od38nEaXyy4ghuUSfGdy46/AafhJUyoQHnPXbnRx84OiJf3goXowZyVXbf5yZKvyeO9Flv0oK/6M buFbGmwIYlHxMSgjQYphkFZYs4/2a/X00abViH0DRoQL3lhNYr2AhYSyxlMT8LY+t6gpN/Umz844 cvsyVW4ZyuZTUXBKuTS5+xxDCC0Vnb9GecmlwmaSDs7D0Ssb9PtRb/f9xkXHZEGXCrEsXh+bmuqw mQWVffY/pLbtp7b3ak1IuRG7ByRlr6kPR8kxreiVfTJBXdMEZjfOEGrdev7a+jQLA53Am63tbPVu HRHfuSLKPoUN/jn9zy3R6dWyi7RaLxAw3uSf9+GjLrIFQhDHwtv4kL7DKvEEcr2NkKMgCgQazXDs AEZ4MEcsE3CbrMJytd60mBmUwe95DoGZhQOEbi4xoY2Famg2Ot//IfITdTs/j0omSYB3tN3dYnKO /4FOWKqk+QJiLzGjjQkrsFq9jXpfr8SncGJbQ8vkA+0x22L/FnBOZRGl/vJprxU2+Wve+0H67rWn 3usX2I7KcfGtM/UcL95saEzLbvtwo7TdSTshQu2YUZipaeivUlE/ff0og4oE2Ol1kxXqrHhmICen xGRb8NwM/SgGCt22h2fn5tTheTXdg6KsN+r0DUou73uT9F0v9B3+HpPJKCaQ+7mAQw7G9ganh0R+ v2zEOzXLb/MbZ5NU6oevGsYW99x2XiyYpqI5ggeiiSRQ4+g/GRFyEiOtFxbGl9ELM6YzG/uwclyH hOYDsLAL3Rk6CLv2JulADfZxdBUxL2mibr5Y76DlWoH5HySfa8JfJZgqqZ8YCa3He6Rjx7AzCwJb fNHx3RJAyZ+q1/fXSJiYt5f7gZrmGSf4hbHpDwDdGdv6lVXElw2TP71H8qt+ZxbiCJ0fac1j4feg YqlqhcHsRNFoNqCHF3mYNrdsxkfR4xUQj/LeHw1ExG7vtYxB6EV845GPCdYKTqbo4ashvS/H3Ga+ +N0S6VXzfgYPq5pg8uy5mdLMO6GCb08ljKfFYxnS6xRMb4s7HPsilzI0dOcK8ALPmWwCGxalhFUo o8bxWqbVXTxonR5LMFmrvM08XTdrLgfQ88Wj8R1kp625L63W/h1ibhyueAwTzren7xrgsio1b8FI zc16ZSiYCKEjTSU+AvQGgcSrBfN7SIeNxumMm58IPgHG5BtKOy+Dwfsjqi8d2reqxgUIu+9IUp9E uLFlwWPC+jQGxv4QlvEBgeoqcpOucsdOF2KBQaq/GFcZeuu5nw3JwDWsx1xgaM0iO/yzT6b383dc ykYOSpvGcFlWwxRIcSQ/SUonfSFie56m72Qu2TUJ98BR5nE5G+Azt6Jnw6GWQSXlKXTyDgDnchTn yLAhiid7qbEEXi01Q9jqHB+IbYTA8m//4GK60oods6dGhKG06QEz4Mnijy6xDF55KrZ2J80UYXOW M0XDglMm2kSafgFVTL2Vq2b3bQa6bObe7UtCsP9l+B1n+qTkSF8E7SvxwCInyoxBn+nhPm+Ltkuy fuhbP1BHGu4C62jraoV0FqKdNm/6Wujm+P889ZOS0ZdTbSGcu2jVRS6INJ5rf3iZ2WpEE/HlPIB6 TiTqOpBiIxYVmDYxRHzVBMuuZsqwXUHCf9gsJuhPoXCwXEAuGXT3laE9Se9VNoxmRr+xLYd7cIsi CqBX7wXtZlrf/Cq6BvKXf+ThdwEiA+tDxnwZEocuUfG6OymSQxQkD6aqA833y6z/IOjUe3meyViB xpf1KPytVffJ2alvHlEn2DAkTMZvzXC0mMTe17jEL94cJ9NWwL5ZG4z6ITb5N9npcAtykG7IvzpI NOBPk04ItplcdMyERs1PHyde0fvUeR2O9SOkuxL/uURFIkBFudsefbCdrLSxgUm1cMnTFsm5ngiT +aXpE7ojNb3sav/8A5heK0LvYxVOJv3gUwSrmhnolPxUlzXzVSWKfeohZVZTypLIZAOhn7KfJKNn UodNTVOwLgMjb7DvQWCaX1uP/+2xEPMUWZcq3L/o77Gze8Lv5eb7G1YMCTa0dkoKtp+2CHqYyiHc +7CfNp/fH2Ot3TwakzbyqF/5Alyx4NREv/ckhbrE9y6hjuZ2QsIP0gj6O8bwtv+tPIz9z9hhpTsx 21znehNYFBd65hWwTB5EGWD+ejVek1gIKtfm2fLIc0skG8nXlUlMOf2o6a5mQ0vgI1KoaqIXy0U7 epbQm5vxzv7+c40fFB2WWYXeqD9X2k2HlEdooswTs1nQt084nBaFcxstODNLfVwLsn4GjUEA65lh thFzRg4i27iCJcQIPnf9kWnOuF5ANiUqPcZiS3qYLdhZV8JXO+iGz6oDLnSIwinxFA/+F0/tNKm4 bCLTYEE/flTfN/aFWAq4swqdVWFTOKN5OezguwbkrarHHTQgPajh5TXMVKsLbEljXZ1ot8sfETi8 ys4JsQ5QjFDkalYAcnOLATduT0gZxoh2Ltz8jL57ACWD2wqQ0LmPO7Z2+7VyJ9UcNLvf4cryoou5 6JejN5jE2+pFW/1TnYJ6l1dsBmX1EU+6fe5jha3tVs3L3DxkBODFwy4mR0RqXo2AXw6ECexanu9R jNi0GvWpA1OjgVLCWP1Wsgbwj+THsSySRqWbpVqDoDP9hW6SsJhwVn0IdAKvV1lRzd0OLDxXhoRZ DdYJ/x+yDc3ZgIXFOl7EmUvoHj73DP4xmZzQqbjF5aI3M+eMpa7NwvseDg8CG/5CWLjwE57VwWfG IuLzTXoBJGIuJcnObYmdoW7pSDR2003H9Z2pDQ4yTM0xhupBqbtbch+4ub6HRhHEtK6EMqS+NUG5 tgtVqAOzoacbyU1sYvP80z1qCLMWwLPSKBDfFlxhhW1cI92vg0IaP1KrXg5DapqF+wpIH8ks66WG 9DXVM8hkHUa7ufLLkJOMjqfsJ0vmDUzZ+p7qJlQFAEOcSkfCiT3yDV7xY3TuDyCorCYgHHkdpcXf JSrKW2vMGCvCh9f7NOfVE8wB4gBqRzt80PMYjpTZIqCaMBD6YQ51v4oPoPTHTLSPvT0YNifQrDKV fPQbjcChNHMTyn6P+FuMjJLUlIkusJg/lhUcSW6BIjn0mqvDNzTAP5A23QOMvcteqMVlonsMFhR0 2HfWg6EoOBSnz5nEXysNH8caID+l6DMwySp6V/Q6NQm+dUuNhZ+KDahVfrZ24FXXrx8CXbRv10Ny CbhwfhkGZWRUXiiRHsCMn5sbMM2rbh7SqToGDoV0IW5lHVKOc7DDvQ/uFfJ7DNxlUPPw8zgCOc8T P1UZN7UiEunT+y79cNzQxbD27I9oNJfCU4yl5JOLjXUSOmn8mUr1zIT11MbuSFW6MVHW7paorvPZ CyD8mQoXHRRj3WczlRLPYOHwIZ9+5gDID/BpjyIzLO938HQsZzbrZ2qlksomdLWYtOrOZIf7kgSM 6tlUXOJS7fdD2aTlsz97eraFjUHyifUhAmDpTMEXp9c3+DALjYJDKFNitbGbUqinQnApzIbq/IHl frDq2rzjug9V0HXdMU7WxssexIkuvhDJ78g1jVbdd0JVck5xptyP5UFRz+lL2jmaoZVCDpW7IkDd NpWetxX5GRGL98WYVA1AY0yvyyjx/GzfSScmc5BiwuzkTHBBy3N+9WOnUA14S4xHcintHIqa0D1j fAFr4b5ps2JeI24AEgKNIqjCZ1TJlSTgc9695UztGMas/DJOOKGkz4MhzVv3hCoiEJYTyFYZwPCI wzmvQ+z6K3AmyhCEqFCZF+luPAhPgvpLQM9K3Z82rN/SE8CmX1dvXSYhNVxBVhbk0L+TdizV26K2 tklxLvfTMWYqGRl3v0Wwp1aac6shnIlHeprReTGnTgURny6R0KYHa/2yyeW7naWx9GY1e4L7WbQ6 h1shAk1r9wfhtDjYOzDTgyTTR6ZYotuqLBoGEPVEi1/bVgl4VdfbBhPxy/tBikIIpNdkNB2Pyxrq ZeBwVGNBG0ULx0ZpWuV661w8fMiE0+2Pzmvppp7zymMecuX1+tso2xDFSV3/Arl1iqoSvsMXYvnr YWY7znSq8TnMAFpbeC9egW4z5RPMZ3BiQyZpxcFph/2d6QSX0LxA2E9pTxX6xTVO5Jz2/GludT4w e465WJa3tKn44AcQQjlSCnnOgxVat1NGcsizgmEfFZGpIBck/bSxbXi2Z2a26zisdwQY1ETN+Ke7 y6g3Dy9J29SDFl3BBkOU0vjJBn9F2Z2yQI0gf26yNfpjtQuusN9wQYH72q2ZwB5xlTsi5OHWH8pR LpWQsATH0qamWzAAogKbsmQdyjY8hKMzrJKeSR3Z9qHXVlcWX++9tAw8v17GPMdXG62fazi2jSk7 Kt4AB6sEqnN/d/3mpqROC8aFTP8lE94c24Vl6zl9BGwdr2PXxcOWhsqSIkoRhMTABcZDU7hjZtx2 kDAb23Ri3FxBCpUN2jfOBL9/uS0mDvwkcPvKjI7+UbX/DqafQsnVLVtrxgGYGCvJhKwaXMqY6PlT btu8AtQQDS7MQDyGnFas8JIM666iTh0M5lMs64SM/14EapKM6Y05q3hod0NZupcywlS9lHuTLr0P +T/66KzK5DEMwv4cen+bu1CtV5X5dKfyfXwIj8VSdaas87wGDpgA1OcD5Lomt1kqrmUTVuok3LOM 891DnEAHzSjMejF4sXqyaoTEe9bJorszsRmA2/MI0pHuTp61AmYgu88CErNsuVoGFzLn+FHPab// szzAjCr56magAqIhwAAlhYaG07xUREzhrEru4gW2qXeVvbtoVsoAN3Befqve8DoZ0hmycPfE2oJT jhHrt4KJ3YIlEmjyfXqPjpZh2Jj1KMFHpwhmU1Pz0WdMV15q6cbmBU4w8ziKnzhHrfohqvL+l8M0 1huQRTuPjbgGKGXiG1gxK+ZeowT2NSckssY3aBoD1JyyvULKHtIy0odmDw8Un6RTDasi59S2P2dt yqYS2sWkDZEymYXErJXGSeu9VSS+niWlP+7xpdMFF00ZM0nk4nN4y42YgK0HjO0KKZa0bE6c0rTq DOpEeQGYZ33DNDHOSLBsfIzN7sN0gnGGnN7v3qEgGVYwK2idXlwj+sM1bbaNLz5Hr2q6ezjDljVR Lj+sQs2pKocQDGcNDkMJQDX5xipS56XkvVSQrpYCE/iAbTRhwYEJHHCOXyOcTM1eM1sbbTW8FdR/ WC8orhIZJwmtx8z8dYJE2nxdVV2GbkzijumdFU3ADpk9pVZFpoK6Qx7SZfa67P467uXwxWumQDml npT/03VKbwtEA0wd2/Lo3+42rL1T0vK3+rM/KfE/jGFLoPvM2M3Bj/Y1wqAa4CWTS6t/zAVK0mlI SFp6Gc6wzkXGXTi+W6l1USiDIZTfkMi6msyuPaxeAq1rpOCiRSEVwQ4RfCj36LUWwzWy+S7Q9ocH jZpOasuj5tHwB+DJbatLKLXYVONA3Cwbi0A9mT8wM552l5YYSez1w7ntbWcYy2hV6dqbdN7xVS6z 9GwSFEGODibwSLK59ZEuZVBdVpHA5ZOFdeQQX4x55pSl5D1BewBY/vTQZJzeygrtOYFS8L8RgT7F JTSDCgyS47ro2lcxGQHTlAnJUSrCSB8fCdTrfOSwUgeoqwgvmFMy75jqhiHctkGsnWLfhBqEi1qh WkPRNrhht4lm7KKDFlkTrZndZthZ82v2lCTHbc4uyTKUFJzaab3SI16CbGVMkS3/349kHoRAXt6R tMJXgYCBKg45lXPEyGHww9jzJ6mFiXwaoLYuG4doERT2a9y2V8OWjMTVcOaOTmwH/s955k/49E1j G8Nu/oUnTEmMgKioFah0akbEiI2IiXaTJsXjbYU+ON2wD/UyF77SynCIE5RaQ5dttQTIt0anBBMF PIELHtBfmbt/Ppk+uvdSJzN9ORQc4Yw9HDJv2sqvNaoTi3vBmA7z/yx1hu/c4EhmT5Nk1XhPfw73 NKH2wcxxy0o3W5Vub7Opj9P/64Lz24gZMX++rRyfTHyGU1+rWHzcVDM8XWXZyMsQp9MnxbaCNJQm 1fvgC0BpiFn3M0JL4ptpP9YpuHFZELGScS7P8omJF8TXM7HwgcyxfUH3wB0yOGY1B8L70DhBqSTF FKuUxJW5TTVEMRlDnwfF9OWTuS6uGc4FHtZN8PgTO7f1/4AxS4TTnVqCPCzNGZyZz39QOtZRSla5 fTLjgMThdy+DTXX2BP2oFrFq4PgVSqtKycxQym2f2AD5J+35yzLA4hlifcbvptkdNEBu5Kbqp0uM Ri0dDNjgX94e6fNUGzcSEZp9NhrRyBCemal3oD2paTbECEG78UCW965Yr9MWfh+ofVc6uRDuFZ2f kUZY2DnXclCZyTYPI5xoGbQjKguLppkiGV6kfqeF4X70MrDN10reTtD67NJO+PRx06QhUDGQdWak Nwn5b0qDPRMrxsTKqSzVilhhKv/1dJ7b+oPVLhfmhdr/Yp+msZO9S1hOuc1u9pyRRXIuE8nvjb0e 4MfTO6aJlpfDkqF6xTAEb8edIXXgvdc2YCPYPuO+o/d3gZVojvf8f1NhwT/EZeZHuFUHhpacRDc9 qZUlc7+CL66RBinlGFa1JYdH+AdZ5LG2zzGolB/WxfI5zsb413I6E0jXGQq27T8w+MbVujqi4mUK B8X56EE2PpLw55/CrBuLg3YYLicPnMT5mkX/PMYNcXWwDiTy7Rq4w2jZRSWDc+nszyhtcQOgE7WD 5aY1jmUAyE6ZwxkuRgeNcL8G8B27/uwfl7wxC4sWE1MCqw7ORwEq1AlTvjzS8AAb6jPD4+uw7gS5 NUY8roCzNcZg8SgOfhmsUT9fX8+a8YX46BpbYuasxzzKk9rCLXWKa+NCUJbMYxCrwd6Gr5Ay2hNh Lqj/BgZUiGAJz6AUM6+Fkk38L1kfgFHdWoYZbHLkm5FUAt6N2O3Sx5qR7zi4iLgLdILzIXoEMjwk YfQ3FTb2zCGSh83ZcYEuBOA9+CbWgFzvbVGuyBeFpeaBMljTKh8JFw9xoAttpN04r0ZYvXt0IdgF FSOmV3jUOH3UYUbL20kEl6EiqeOHRcNF2BSP7SUIy/RA9tdrUcCDZCWaftRAt1tJVyHfH31/3eip zTUwG1GnAsbWPjkx7W/FTadZfokHTjCDb1QpwKt64NIgKP5tphQYGEp/lObt6cpUrQ0iqOYuXkKo HoAcRw1eibddNMhRzuTvJZBo6t/KKdV/r9lTzqteGrJIeSl5osdnHNwURjzOLwmMhnFVMHM5l79p O8tQUUvme/hLI4GwLubz68oWjwzZKA0aLpVJEFnEd7ZsAelCiZHW49auGHUw7tSE/BBcE5JwA56M 79V1338OBANVYSBhPRXwtYdhs7KuUm7ybQ+2viaYlJbgWHgmPMLisCNfAMdyiw4nD3cEnTK924Ng dlW7xK92ERiiwM3BFwppJgnqjBmuhNoSFDZ0BTYVSJdVbSZ1Uy3imHkBiJEIA0JzkRXV7daQ87cj ebV80Y/Qcw0OmvNiYS60g+ZVuod+PDy6hOUjONe/Q7hUF5nZsf3Qv3I5JzmKn3oMwSmapHG5aIa9 UvY6kRsJudCCC2sN4P+5v0CuHPKPQ/hGT1J5u8Ey/3wgHYlCJ7c9pW5U1c7q31wLo2H6svsIFnJG UMUmqs0eBQINk00CSNOh1Xkf7Kht/ibbZspVXQGzbjS8tEACkwJ7N3Bryf+HVakmrcXy3VdPEa4P WnVku2zque7BvnJyyOTZJ9/Ywan1lbhafsGuMbVY/lcLyGYTl32kgeF6tmfGZeizBJkyvE+2grj6 9gSjoorY1ItQspmr3LgN2LDFqtPnMKUPJVCd1EtFROloqP/TFau+Dq1ycqzQCOcqokyRAlVEnUpT E/hJleKMT68aBE03g0KWuyq6saMr6ZN48MiYD4xjAGOsVSYNjwFkYcAPefeWBAedRDBPVR7KsUeW SZGNSyWCYsmhtOAwFb1+g63hFbDHJJvaFba1Zz1mpQJuRM15/XqsubViyiJZn2/tXQYRhOl2kYj5 uepB30UrIjBDmzrPiyGfL3tiI/2a3lSoYb8mQJxpyBGBnvdCWVCxouVVqUIH2Tc7gzZ8LeYJ3xxN jpBGi5mveiZG0xyparNRc6Qr0h3BhuyTAgWloAYTGGxpFzlZMNIEyI275Ry6VAf5HEIgcCvVrK9I bi3f4qSCooAJOUflRnvKPiGWChzwUBxXMgPPhVx4azGD04i3D/X+YzbUry9QeaufZJkFXPnVDihk bk9RjII2Syn/A6blFFeStwcoyJTsMwvRMRkQharBNNekd/jmLGvLOwVujoPOrOXMmvIxu6rlH3KV MVxBlHV5f4K0E//3/3oozeSPIoq3oEiBzeOZN9GeMEVGis7Tzm+cRG6SjEol9lCEFDbY/RZopbNd p1NYljJAIVljbm6dyBUv7CIUs2ieisIXwfWffr6RhaC915I5E/qwVgWiJoYPbpProqjtQX2I+Fvf rHY4Nx54rMlZBsc+MqcHW9UQlIKEGLYJaRukJ3zFiLqQ+eW7IqHmDNBpiM/xZdpwbbxQOpf7vusP nY8KD5oIp3vXEJ/1ZHD6pyGwnuFWaHhpSobVW+VWnFKsZ74SnP9dLeIEeh/YKABFlR2fhb58EIrH DocHaipgfzNlvPpDtSar5aiD8sZ+p/7TH55NRDtZgyYyctMrUzGvWcJx1s95MX0GmHwXI0l+oCOe ul+yDK+zXy9aBvkg70ynLRBnS71eIzPPAmSR/4EDWQh0W65BEUfBhgVKgOBmTLmXFONMNaIbMzk9 HrIni+JR1HsP7w0t1ImX+QOJhhPWKsxCSDQr24f8J8SOR5U6k2JYLftUr5TAUwCwDThIZ/9yB4t7 AjEYX252J4ZKQftoqc1mpg7qfDtkOqb/9/Gg4PCthybD7XBXSmDWtiJgUWZDgPjOrnx1vL1fH3mT YGuQfpRiq6FGSU5r4vzPj6zDhmNvHt2RfVDgDKOpzJTIw2C4Ue4klCGTgVDit8iA+3fsX5TvEL6F 4w7SCYub3zBFq4qqwkH7xqjO4WHgYnRlk4dHzCOhQtVJDD8maTvnHAQT40KUF/dfGF91q045uZ0z DcojggGDAZSYX4ydYIqhzep2NJE1e1JoNvN1GjO6GRbeFSu28TLxXcbDDIGWjxDemrHre2cbBgHc GDjViABTlC3f4E1NmFpTU3ZLHGTd+f6vm5olFOLNBVTe1Wxzn7yBwhM8vUD9gXOTND1hNtyD/rAC JOgpJCDOgQH1dPfWq46mXJl8XotJy+7/nOxbvkzdJMnG/k9h6tqMiUDy/yBb+wI3nJ7Y6DvfVsMI j20gDplRdR6mUe5h4/TxRaSe/FuB2PkW6fzwlXBBRudlu9YvbP5BlgaXGDseyytgnC4OICXCRJ4U N//YXELgq3sZARbiOQ3JxMrsN+lNeCFTJ3cMrgh/hazN0sJA/bvyFYDsoFGd8He+emivDy2jQBd/ Cy97khbPTUTHOQjCOQ8ofQjsw59R4zRQRCcIQkwuch7TeM+cduuWOCUU71Qj53lSvutSUR+Ry+rt u7cED4/HIVbJHG4sepDNe4sdz2f5mehFtJsdIAxUBLlGZdSxxSQjrjWi30IQeS090YuLMObQRMnm 8TIMnJg7om6ymPUtcPXx5VvF4EW8icDs+7YjKryXOFOUPSXnahXPgREiILzgFUcjNzo2mK1ZnIm6 laHibmsU89whb8/PyUS5K+g3/4q1uCUr9RvYFHOwYjxy8vItkAsTEIBK0ffgjtB2eaFbMvdPyX+y U1/R7R9O77+oMGWzt1c1zLAjKcRmBZR680Q7FkBIcvfYgjs3b2Fjxpw15RBaep3P6IIk3zbf/h3m attJjWoXv79L3u0RCjuqJ2IVkOJCqvWGmysbY3JP1POryBxJRRFneAk9CVYAKnitJAB90g5BbA3t lMW5VzFpAw8qo/TimYdryLjIdzpABSYdT5Lak8O+ATXerPsVy0vOc5tQtOH5kxUFdrJWYrhnthcd LCrfMmWrFE0YNaARV1tewYuHPx2cjg1rI5vcopUeNEAZbzWwZkpQzkyiz6csFfnYKBoFmYZ+c1Yj goD5aURuLxxE++u0QGZ5SMflMIxz69SE7L4JE78faDVn8m/hY3qAasZnHutujfAjZN/2BHuz3rEd nLfY2Dhxmmv2wfayTG6lkKENeMMj/AzD2Ezew2gNYXRcvBE8GmrNpux//ffxa5kSN3rhJ80EhVqL ZSH8kSO2jUhk6WStbht2BWHlmX4/uUHJir/L063nI/SLA1E/19fR9uPmvNn5wqxstOFyCRiqPuPl BveUBzgB8t5N7VJqliLdBbv7EiltGWMOgsfGc/qro7Gh7FwsVyIA8dpdGX0KWgFwRfhcsGYfiJUL r6IB0vi4lIafgLF3N/+wjsYGi7Kv1Iwvk1F4yBKMwba1OOzBh2j6tOx4EXs6zzlRMDG3ENse5uhe 0NCXZCe/OCeDsVDEn/NUYICS3QeqL4a5Xi6JIkoETM2/6qNvL6Fh8ICXryMAgJb8ke9u157Yez2v BmXDiep+/sH44PxlYOvcKj7ZkaBK4cVrAgGPXBWpNA15/KgQdH7swzqqtOyYyJPFXWjbhk8x7JJ/ 3waCZnamqntb3ZmAjcUErZJ9NCxMdQ81rBpbbZAUIM/bXoGfm2ZyXZ6WNB6YsgSMD6BetPY90Ktg iAq/sd6HkhwbFBYDKI5UM5R+agrg+GwG9Q5hDFYEcpUdQQ3Sd4B3CIrxBMneOdOH0km3rDf+KGB0 zduS6BzCifMWQfOLf+Y7X+xz1kw9gxnjSNpdIA1N8K6mNRCyRb2t/q5NW2jazmhrcm58vPn1dDff H6pLMv3PIUiWprSDtGLaKF4u2xuhJ0wEEAiAvWXEox/mXcB9wplifUT5CuuZVGXcCyKeUXOwfe4i b7NJmY5saSYNrXpc4e9SgT8JWGn2CMG/TbhOQPPLqpF2rwIv64y0c/x9gFECoxSg8kwZIKakuWKP lslkYVBjdhmT16Mo2sYDGOcQkzAhmJ+vlqwpW4PjtpK0nOWhoQbsq96tztRhpeDJ0KTrkjXJSjf2 km9AxxsjN4sgqGto9V+PIjpPGdkVvTuPFBxL+WWE/hj+KdWqDeMdTzIOn3OXWieNjXesWhfbLukD zKz+eH7XL31BkG/UkhcL3UMScI1685lXgbH+UttUsjB6wVRV4QvTSMTny3g01q+LHO7bcIVdxf37 ZaOpyovajvOwQvifuOS+H3Da716eZl7d7NXMOYtQDsNVVS2NLt9QEw4OoH3foKPx47ljYyHTE1yG L/Arj2w9jRu9PfmawFRU2MH8gR3pkg7mHE5m7xPLcTLsEUEQ2Xz0Ogcxe+Dycnl0nXvPaPlButBw eMxfgN3CHN37Xz3jN7Or3Mpr9eE3yMxm1Z+buOxLvRK0SA5Aj2IqXh03wqlX6LGhb4IlwJsJNNPj 0qzxc7B35eCzgaoI3cPVeA5+8Jhsl/5fKH19GMCFM/SCS1qrJd4kH+AcmBTh0HmRn6WKRK81OeBH pX7q5cr2/iLPv3OraFXbG7ctaJh+tXp20A2NuFSAbtTYhUYadLgF4Uv3CKGaPXI8R4q+6OsEIbNe OJ7hcA9heMuX1z4GuIDyfG9MMC0Tnqem2272u+z2VfqH/cqJNC9/T+6/ZynqgWQ2kudRG7wEcmAY YvTf3TtiJVHzJHmRLHYpc0kIOV1AABPJ3n5awPS34PSHU3azhW93xSOOVvCByf7vMg55/ZiY8/pn M6V1s2p9akRetNKR5SPEUZOkG+A1gCY8s8XS2w8EyGoUco1nPMbkCZ4T3rk8IT6sDYnEKDxOfHLb 0JNN/gqaEbzwSdCW6Xkn80PpPD6Oi10fObxjAGWed5zNVIMYYTTigTGGubq9tBEFaNmSp8WkGV+C hyqM7ILvO1FtlbA/yNfiS+se35SfHBselANAi/TET0Nm8AShnrnD1FBMf924mmh/Rsy9UFiVmjeQ 9T46GaTb4S/9+MWmlsccOLeaikPISoBOXjokDLR5BJ0Atzde/eFowlekU8TT/ubfpspRHvmw760o XC8nXSzaVemBJPIavI+EGKBz+FsXoQ05jYUp0dYLbBViDaaxF6Hxlii1J24mrTl2vS66cb9Ekz2w QoyAC/do6WDIbxVm9LN2k8Eyrxg/7tTqcFs0mIDso0FQXr2k0oCgm5gl8l+doWAHN5DbF9jeM/jZ xSPzOHRcl4GAmDEnxK2fsvw54Aj+MEV1a97K/BMggFNsumNoTSXl0tK1Fl0GGWOxV/sSF1zyB6a2 faoOnxyh1sDZAzCM3WCczZIF2hI5g6VAKi5PczejMY0aGVKY/NLIrNKXedD0Oi13TK84OWZz1i61 /SiCw1GMVlCQnzQP7V4LG+rb7E+ffKujt1X8fL3k464J4OStsOICh/9J536bcW9T/eSIChnA7VuR NylrHmeZcZ0x8MmOnklG6WHOntYnzLbXVE4lUcCa7arVwe94nHq9lgiwVYK98daD9WqKW7KdDx0K A1dtFHLtcgaPsD9jP2xNa6LNUDGYkENOKuWK27uQEtL0yvgxH3Fz4oevRjWfV9BlK/1Q4Kxk61u9 yRuRii+SReR0Mw8B4rnu93W0u77day2ZdAro2Vz8Dj08gScmuN/400IDn3JA1vxnyqqUB0nm1G6S ML6ShM+bZRkwfwaev/XOv3LNrNgwAgU77xG8YYqWbOk6707TZdUpROy2SxRqLmF4VE/u8OlOMB8U yTO0LjkaSkKn/whBQZbWkzC2d1rssFeHlDqQzUPw2LagZ9t32OY7ArFdAV/p3auHfNP/v52z3Z8d vjp+ETEF8a/CMvEKCv+r5VtmVXjdllCIjvCsF+ugoZHdO92qi/8ENeabSw8yEaInVy+bIcBJJ3cj J4vtsyXgp6i7fNl87mu/tIMjGlGyiDCFrQFPG95MXokJos4jX4I9Rv8WLWhdGUlk4H2MjPC0toUx TDuMiCnDSbDF1Wscve44/FlkisP4nYVTY417DE8E8lXa3QezhAUjSLVAsTgSF2pcYEygC5jePEMy JBIxGh3kKGD/NRVY45l5KQxYoETG0rh26s6rkVa79PgPKx6ozfVdxPi4cft4e1P0Tw9prx3QLISl BwzGD7+crCyy39eeX9AvMyCTufCsW/lHXcwfI5hUFgwG5LbQJecEwmrdupYeVRJflKsgX2uSMrMl crwnvCL7r/9uT+K/4TFpX+kxfu75V5ipnA2/U0TNv8TB4YQ3i70IPlme6+7OI4xrSqPkKOyGqaOx 1g72umDqS3B4dURltobJex4XTYwoJfniHEorlj3693hgIvMJYi+/pegEme0cEdHwbO4i8NClKJTj C1rKuBvII0WU71B8HvMxw5j61sSw2Y9XzF2jJfPeC+pdr+E6frIQIBkVq+l0+9HtAYswDYAiDskb XM8OzmpR+uhghM37/9fvYq83NLKkMsS9xJBaZjhcYDguyec1xyLy6sf+EXx7TzHepbGLqkV4Io1a h+lz223fecz5lfATUefbFY3UiVVMhYWGzntCrAhGCr4YvzI/D2DSBEFGrQ2YTQubzM/Of6iJjDKo 6k4V94yQgKNAgiPpyCY24O9MBYSyCvMApjFFTJgM+nMb0u+TSUy563zuWK5/DJPIbAzxnHU9gpa1 3oukQgWNXweL/vp8A3pRRYw8fBhyiHXV9Artm2sGLQ3c9mwaxjtiIz62mLY00D0y2NIbxxofGDjL jKNP4+3ViLuMC8hD6avyMXZLVI0HvuPxY0TkgbUK+jPGDZQKCFGqRyxQUV3nC6mHuEAY1IhHljMc 4zs12+goGN1XgZ7jLWkJJ/D/8zvOGkuGoEoTTW5V2nNVJwx9IMHX0Ep+0lF3nU8S3kTbmC/Qtj2C cFKk9qIcMlSFsyxFZ926Dw10gUEyOiXcigaZYdm1tjXyDp7wmuvr/HaPYJLVqXWu3InnaXn/GxdY y9yXTMnwMLfH1y3j/Ffathl8Q5H6Yg+LUybeVbiyByUHZvNDybuj2A2Em3M3+K8m49lX2J99KJmj vm8GMPtw3EZaHC4lm/tz0Pv2O/Jlw4RsY5D9m9OqiXYygmfWptwNXiHDIqqoDKyPay3L5SJRIEx+ Btj+9Zlk1+HDtWNBJvDFOGzlBQTHG7TH5cxCVFEK56W76b3xJ9QBA5xVOEzsl95+Q+aaAeCplXAl K/1jAuNyZnP9ESjb12JMsSEoAz8s5WpQrA8Mp9GyR++pU+eP2YVTiC4g9xw/oBwdub4wN4oLfvBT aPaRIcKzrfaFTM8eXQPspPZldLbdu7Ny1SD/weGWStne/VD9HInkIfdX2LZuUoJFrxQIxNgwoqfv Y80HZhwAMEOhScyWDsBJ8heOh/JkB8Puqu+qKwx4EXeUxDHNuwhsjYXNYZXDfSwtbZaSptAlzsx5 z4f+GshBkvJ7qxsX0poZOLXEoob43I4yV1nXCiCqU3p7mcOAQTlZoEHDoL+u6U6sELstomHrqcs4 MKgFygXiY3xqogLhTg0P/bVNWtPWPs4loeGOEA0bjJZKKL/0mM71/RwOHZOhDffaV2A7NfTM7ic1 Gvpa9ftXGtKGWRNTNlf7z6pPrzAdH2kuvZfJXFWUPvES0v/QS0RL4Pv+CAucuRBxPZhqtHSZRxsF 2v2c8BLP1/QJTszDHP7TiY7louqFCuRyV+UG0qzi3cNzz8BWhVZEgBbqLj1mbkJa6rzEFBVoctK3 44kOekc83GrIRhSPRkw4Vn6cjcZeeVi8DwXW9GFcYUrL8p08NQu29QJHYxh7rkizuFf87IsZh0A+ I5tTCoBkfDnMvC1/BZeZgot9P9DU3lf1kGsTbjbNwYmgDJMXySL+KSzXE28/iErIraxBLlk+iH0X mOXQTkT8IRsM7Z9XiCwT9o1JxKiiP3zCI1cgy6KH2dKAJ8g1G3QLUmKYbhupOF8dWgcTE12nT8F5 iUsDeWXctZIuj7aQrSQH/muQINCKInqfdkWOB8A3ufHm2MW/RGLJYpSaAr1cXzGnmBC8weY9VfJL J0pa+NeioOBggUA7q2L8PtPT98u0MzjHbm0LeJjNflsI/CpLPRAJDjfOxcupXZ51NwZpdljGp8Xa me04S8oC+oP9jpVrGW/LwmLn/kvtO6U3VoKDIElz7iZxHqIp1zUAtL/QrKQ/tnKT2nwGuWDOgcC8 lnWMidqiuZspvJn5Dn0MbGONyeGS/G4ayf1OhKXSvUfI5mfqJXcoEacIr4E/VXYkUGgwL3gRRLp9 X6t4pwlS66ZQhOSrEMp572vA8wuKyZ9pbQ6WD1aw6j8cJB16z0yZ54gRWuOCUfZxcrSem8eYRoqi bCAhbaz0tsu/vvwMNJ9YYnPQF4aaLSjlu32iuaxuVIYxKb5LNl4jwGqmmTa0vNR6QGcEPmrlyS/5 XPycxK8HvBkpNDfpfJKw3K2qphs7zp9vVFsxi05ekDu96YteIWZuscStksLAq2d7wFrfCFpPubCR suP6ePAbE8GoJZ6EEAD4LknPH8ca/IVJlp1tRIPB3HDqnd4frp7/Cy0Y45JFwBa/3p2kOIR62Z9Q TXYKabExhvH3SbB4rIwWKJLnmSD2JsbzX3fRAMt9QyIKQu3+qDTgBNsM91pSDW6PIdz8FqLg/BDE NmFJE6jyEOnmsJ7zs54snsGWmelkoD98YT5QClQMYd6g/vfjdv0NEwQC+527ONFUCOf3YhuNKLXL i2tZAjnX7PgsaQoIurjiVmkuVF1plZXzzXmEVM6ZhS9bPLFAywQaKWr1ajFKZheDONz2zFAsxgD9 pH54CMtq4WYmOQHXoGEvOl+VAi4pS71thc66eAxm2tk9Fk1MZnpgjvxb15dRlX4H88W+oVV0ZG3Z 5ZiAeP4Uh4hL7+ikhRvncR6mlhgNSGUDDrKPEBNM3/JEPxxhE3Li/X3VJEympOgghBEmyGN9BEoU D0FDSLyMO0bVIW6lpLgAimUmFnxDVNYMxmqx6XmmfMnmq/t8LhQBvyiYXLjtphSFBIY1Au9KF9j0 9gEQdXsYvjgkiSeAwHk8yq/Kq06+hnsAEH4yOT4uwuaQ4MUCDWfvX93NptlCCBCafh79gh/TvTUc akhtz9wIxK/u5ZffoWXX/+yk2/e2vQ+mlIs0XomiyOumtoqybftAucLE4BjUK/VdkZl45mYuou6T W7Nk3YTWVRU16mDmFTcg6F9zgY6Qa8XUrT0ODjvAxuPOzvTQeT9AesIpqBuV1f7UjrAgTkCjqz/y 8VXHSZ7txoSGH8pr7CC0AK9NnGT31G7NCLD17JkeaP+9cgbksACFSVSbAUGUTfYFkMe+/ZwilgHE 12WZIxq+fGt4ZwVMM3M2rXLZIL2PaZywrGMu2FsYOMwLbl68k3ug6j0WRmOVmY4+hJO+uihAyGQ+ 3y0lK4+qJuYWAwO1rUchRPOO4MY4E/FnIotdOcSl+EUEOm4d1lusOwva1NhUUQZpZF8U5AIOa881 ZjoCdPDnWsx+hpEclHAD7Vu1T0csBRmd20hjBl5DCn9MDVzfCBo/0ms7Qi/RMYeERMktMJPdBWky Il07bj7s0vmY9QstBwRJu+CvFElaXlxr4AId/toSTgq8uemlsG2esbu6QvWl45wXJbaKQw5lCRFa Wdx394rpeX6aMw3MOELisjX7H6i3LyS3/NFkZrb0inZIYRDsA/74etYp4Lw3K3kXkJTPrDcw0/IT glyLaMrPpk9eEJtJZs+ZB6qpEe6EuOH/d9/ACYUyHZUiMEt0ja7payKqoROjtk+qI2YEBOjaH8tB cqu3rDsFP7u0NA+nkiU3MQhiP04p/iSIXHDoQorb1k3AOkiWRYliQz41lClw8Jfl9DfsuUJ3CFUY t7Ia1Jv3GXd4L7HKjOoK1PQwZO8DsrYF1Uab0n9RqWHRnFKCUkBJ5aCXsUDK6y1Z0fOGx3GbHoD5 3FnYe5D7vemXCizuQbdcPB+nxIkXrFxTedyH8t2OX2gp1vGdBuDADiUR3ReFvyu++VrK/z2U1ZZA lZ4M58rCmY4PSuEz+RgE16ML+6nK6nT1WKg8iOq+e9RAlRytKRUJO5U+bbtPkYMuhCEI3LaNN0Fz kk6Y2ztGO/ctgJ9LlPiAQlLXbi0zIP3ldzwXgOLwZro1KUprTzYDxQDN04zIkaxb2raTlAUTKULd wBcMxTaHxjUVASFWZ24O9ENec30viHbTOf43WcrJVfX5I5N9RnnYxdkfgu8npCU/tmHShi+2xheF L3u7yD9iYyF1raw3nzipoopxm2YD7djelNGMLbWqsQKeac+nOiB6SKimNRlxJi3bqoltI1+AiN7A 8gvoTdBuv/4g3wsSWKOArs9WT/tyFC55EDQWqxuqXDtHoOInCFQL2Ksy6MsZiXuUUAGGMr9WBAje sI2+1/IOdokdYcDl6AllCyE6r+Gb98L2ZXr9z6XHM0+bSCfs8hrUtBnmpntIVp3xXaNVJPVF+nKw VNVS3ZzLh7wYNHOjN4adegyVYXXQjAUPNQbpjhsddy6W/vSThY4qQxzE6aDjBCHX4WezvD0fIqsJ iUbWWY/b6OMKk29zIJ/mKHoxdBXSLB903m9nzPtib5wC0zaRrVl2YnpAWZUamo+HD90gUsbHxnPT E11FlRLp7rgsmXy2MpMR/uEyJVlNlKlT8Caiec3PVQcsfH/b8DAw8F7ciZk5nMfLA10em/ofun1N PqcSI64lt7OnzXhYYo62bB/VhJk/lHOtBO6tIIcY4sBq7bMDcPGEKqSWguLPRShg04hFFYAWbXGr 8MzQXgoeFPDeFzYgOzmqhdWFIU27/66zOTu8kYffnO9/4VEUkACuxBMSrP3MZdzBtB8bpkTXRXz6 nQE/uGyQ9fRTfoYjPuyXVkAogTJLTtJCu9sMaPp/bf1FqYPVpK0GIvQNzByNDlVks0hl37EMMoG7 PO5lcyKJxrtFyv3ESp/YSUh/HXTXn/h4ttAz3vb4hzORAbkjKjGZ6sv4g+rnJB9i8z1oJ+suI00L 399or+c2SUYd/Wo51ZjkG6/Xg/D3tfHRk8lvRrnPA+bBSjbKZKEAi6yUyYaghN/BOKkFGXNjlWxv YNWQkb6utsgtFJrtRKtEyLzTVQchU2OxwzuOywP2/hflQ35KuhDOqzOkSv/PZ2D6mFNISawd0Xch Ov7w2LcA4GwWVjWrb/2fiMlwZc+pjVcj5HMIUXgeHtxiw+ZGxMzORn3MS9rwDWgTWyXznyaCZ50O BcfCzRqLQSFHEi4gkl7pASnFWFykaueCNGe9AkdU1dFzK4TKPY4aCyJDs6/KRGyravFUv598F4KT Yp5KUHe1+jNGgtl+SzsgFWNPXCw49OGeIZepbkEKuGTHT/jj151lgc7whAjqH2DV/KECX4XlKDHs rVoYVDC1i0WWAz8DwuXz+a/1qvGnWO8541JUwxmrDtmZzF3YSWOqDPfEd/ezZUNdOmkFct6jlTq8 cPWMMHjfKYSGwgYvkZsXwz8KLrQ5TI8GjSW/09VDj4i2Jh4HWzOlGmmcfuq2TROVkIUB4W4FcqiB VscT0pEeepr18x1y8Hsnx+lUvRXygMAvfrV8tWhxyPNNEiCRE6AhgHIqHclAFhMOn91OVmmYrv1O cYRHTHv5fSbUIQ92XVqBwn92/M0cwlxIxWRbiPmwfLRCZhKP5on/ugu4PfUITtjAxtQcXqBG8UfX 6SeXYi2w+keBaKqrpSXVxhlJYqh7Gh6rEeFBDJqO25t+K21ZIjRZde1nkLdQMGn8wZPzcV/2ceHz KEXf8kZAKQjDD3cIU5bg4H9vJqW5q4Cgd6WxYUKPXVJ15NtD/Ze4/0vbxERcQfanJxQEk72mDgDp q47os5lQbnbwsQ8g5sN5MnevW+svRBuTFxi+zUG/3sRPKLGZTDAYR6dwmr48PsCLh4Gkq+XJeQUK 83QiYDA4iNjFdrB1C65zIX9nDU7Fmh+nC55XJpAN90EYXRLWrlyDlxPHOQSkq1Li6ObMlmquNIOC u1BRmgbc8uQaYg0eyezi6odvW6uUvbNkQZbxSnUwVbFofl9eleil7L2S6CPFkodSwEkHZFXhjITF 72jwQkC/9AbocpK9ihbnZpC/1N4qaXuQT1r7XM21z9V2y5APKqM6l0HmmOLpA6KzTtJ5Si92Su/Q jPKdvpV/7FkxpCGL6rmky18jLGiXoc3GTVj/4yLLA/gN9tRXju0Y0Pe4rFwDBs8pBD3f0oyuDXcr 1bdneGti6S1pDffmmHx6lCzbQEXpukFFjODZrBwMvX7cXeKYY9L7/qUB65qRpYt6OxnT8IMbPKI8 w5dGFgsTXGWn3KTTu5W3c2wVCRdxheGin+OOEoln+R4/tHGBI7qtJklZk18b0CqZGjp+y6dhudY7 X07J3uCmUcIS4a8CHrPXNYg1kBEJvT6wyx3RvHulPEFcs3sB4UyOTjQKwM+MZ48eIDT985SVYcp8 mUQIB8t1KfJM7UF8RmV3WJI5Xc8W+FxvXUvd2Uoaruxdr34OMeNLJPJNHzC/799SkGCtcuLudqBL G7kdWPg0uwyB33LtVzvtJanm9ACAi95qnnu3cgiqScllKE+mqT9H+Nli7XfbG2na+2Qn0kccgHtI 21ZfNLm58bOz1XxjB4P12cb2L18B7c505gKH0dT0CuvfjvTBC78Z3awOebOVY1yGh6jRBZMc1A5o r4HpQp6O7Su70MoBmVLfevYhK9XdGoq/WnzJzgUhOGpLAYoKe5s+vvnrwgX0Q8akhlWkFyGr5+53 nS9wtLGNjM5HfYzZQnWACli0l9HVGStnk6P3ehSZhI3Wg+xw+fAjEhFJvqiVy4mnvh4Pt3F9Q36U +mMVDX8kv/zCTEFE23JbBIJrv3q1+bgy9FtyaN1LKMNWcsRyY2INFlRULIsQHl4xtvQJdGHvXG+r Xri+PBaQF6KgMAhaz1AcN4EhG4qnvLpHEU88ybDakUBvkaComY3h0cLT4TbrF2OkuAYci8W/2pTp N1pOFbgYlkdCIfM8Fov7sAx6dnfb00NICcBBgxTS/9dH0LQOKPQmrUWAm+iZFiVU7tVVK1GsciXc nPc+nto1ndFi9qF3tkXvG/cFGnMpf2Hhft7oA3k09CS1EkpWmhKLj90kZLQ7fcxlxndrmMcs8ONt gRI+rUnK3jMjAs4SYu3H8o1nU+WV4ujLntyF9ljXGDpmhAj/zq7fMkQgKSzfx1328uhABcn0cEyV mY6tsxn05gF43lJoZ05ehl/aGrMgPZaengpaU078JLTNrRe/pl0LnOE+XbSoiUCwC1GvmCUsscWv /JuFj3JGRofjEhwAZ1ZRzJttFnXbZ+XrL649CfNWDj4kQnVrcvDx04+vk6rCiEBI1Z9ZENrecfnX C0+rQJwy52bw1QBB5sVsCZ9u631i8NEBzdfrhv3W90oOGhbs/E9//paFPH2CiyON9lITuFMw6l+M lfRgPv/ISW3ROrVF8oTk/1f348N4Ev6QxYc+hyCexBQJQXjgPAXqPH0nF9O/j7f5a8GQ3mT059Y8 CWAoDUIuFdezPbtApLTWuObN4f/oAWrZcU60IztZR0beHt2999kXZ/ET12VsIC5nXvU/KkREc3LD I03B1xUVHXkP5DXgmgByJT6nDdU3ih4FohtyxDLOEaMTJ99AYVA7qhWgMBBjT6ZdBeFtJ5McUoiI WE3nQecFhSdVVVr4cMzYYAfPdr239DkcoQw3Dn3DiXjXvo/OsUkMp6nOGi8g4ap8VXwrp38k3m8t 7rfkpPrj1zu8F6U2PlyMNvc2cOtThBu+k58/UE5vxhtNzmmTFM9T0Eq1fNq4Xsxtp/j0QaNkWhwi 5X1uHbTp9CuGOJ+w18pgrZ7JvQZA4G2lWaQDeUgIUBinip8SkjOEkOg5snON5r9dsYjRJF7iIgXb rKj9Q8EmUlWPvfnnU+QZ2lcS8v9nOaQjqFMheUbs0TYvy/vAogC+g8p6G3IuUqRNh8GRRUIdQj7w ul+vgm5J7wS/LIUPRmT3ybKz1ombvILWaMGdxqbQajuwiiiJEyjLzj1nJRX7D0Y97gkBa6t3OV/U dq9PMx3LywjdI6qqowKzWBrELRdQiviYL3NgCjISs9dqGqIeE1bTA5GgEcaZcGOJnl8/z0NQjbdN 21JCRPEqyf60T9aPch1gF61fd4THqRRf0vJGu15BRVg2SfJ99HgprWigUJjMwjO9CxhZle00Pmwn xVK/OLwVCxDLcQRP8KabnxQ4yyFeYHEbd4HUcWSKQPLmAZMMwehboH1Kx7MqRbzLnZplpCZXuHrv K+Hq17LXYX0pVBTqSF4mJd8mF1pdIhPiLqXYfP0YKbxt+DUtdZSx3tYUIS+Gpco3PcLGtuPSa+Jw sJV27eDYsNlSJQ5CceBW0Bp/qkVb+v/XnVVlElq706CJUE9xmCi0tId6E1BG0iBMKUGVMBKcVKCn VhnPkDLJ1Axn9yzHgfqWBu1fGrZB0qLvr17HCUYzM1Maou9mNqYXFmmRLfvHUmxWpOV/UAR/bnHN YP8P+orpWJd5PIoIxWq11qgm3qXNJy67Ahv5BaN4eGFMeQu3AMguuPHsTJqTbpYqpPkXkmLG/O4f erclvrLbsRNJa+kccIUCKJlIkQlo3UY0PZbsCXdy/0jyeL7fxVEoM8+vFPx0BLWs0fuDw8WGJuQN o5rChynK3CuX+DQ97lK6CEzCuLGibksbfnXL5CrXtxGrXUbe/LoIS5tWvz10GUoMvI/BFP4sXivT 3o1gukiSbMGHv06nfabcaq4REQ2IaiqG8H401V9EAOCJaeccfXAvl/RylZLvO2Mgy9AtH4zgY8/p rMUZstBWgUUsi6QAM9/u04MM6CtbMzOffo3EPJFUCFP0WrVcvXAAdDWm6nduqHO7bxqZjM0ZVxCq 34RRHPsbGe+k/diO+RFLhj2Zpv3cLAJB5imohez5Wt512j6Rghp9QR1fWPkbhnP/2wAqmlZdK3hF K4YW+mEOO/BoO8las9KTDTYfKIyS/PuGkBnuu85NJu+PRT+pRXs+2Zfa8vnpvoD6ruPJno68jWQZ OGoLqLMWPTf5+nQu4kNrLwi4CZJ/zlplmxBGX+ptF7NzcE7evspKNPTVPBoxlgPKCy2EdLzxGABN mIP2dZ0F+Wa2HasQeXfLn7AIOx+FFPxZxrCGXHHyKUMd7gNjxSUnO4SaCehsWJKvm96PHRxbu2Qt zMLLNDd1VvlGnFUqBRPIepenb0NygKqPvLFAY+Z0mN3CXlJ8SQEyxyyFBVFwIFNS/npcsPPjh8/d Ep/ePmCEPJ3vTZ5hUCUDBU/O7Wc5zmPKzvqV49UgoA+SyaWB+nYui1ING4HoIX1AYmUOQklKPrqj tiavM91LwY0laIvSDbXaaLg/RmBoGc988n6VgH/w5WSEymDC1YPmqX5jCsi0myCEwPcyGi8Aph/6 L9Tm1+tcC3Z9qI10FyYSHzVeL3Yo7WjqGooqsNz6xMZaMkuAXa9VOkM3cZShFOzB56vO/1VPVZrt n6USIcaBf1p1fB1z4a/ZoC2jtqTkq6+8ShSqi1spF/5bMQ1Np3GQgGF74BtG8deBA7+WlZbx/qIw 83TdPUy/MrtrRg2+RCpF5HJG17nlABjoy4HObBQyeP7yFh4geH5aLGl/SUuK7Yo0WhNjhSk1aJlR y18pRHYBc6R/MYBnceOEwyEEQTVbk4+8X8jMQUbcX/6BWySH05a21HEPWZuPEm/oPk9fxynPWiPF gNum9fu52HzAip++WD5KF68TZGp1GcfT0gKFoElKDkjg++iCXyIwhSXtrhUmhe0pdRchfTMkaMsK 0Q8pNwvLX3BiFvBmvdyizvJw8YuEh90O1WzqbUEo8OGChSBhD8wwAWAdZjd7yphyfq4HFA+zCL/K dUXvmhKWfS4vHqCt7P1tJS8cZrRDXwtlPEpigdq92QoAo8NnRr1RXcpucnQ8TpxvFlRQvt60x2Ic Zu6BL32WWoWPA17ToiibvRiiTo1ga5Iblbx10B3ZXhnNAz2zRzajT8LHht+2EIusMAzCy3T6PIi0 uCjvCCXV70Y1k/66DHW7ymi52knH0PUidC4UFAKd0YIucfm2VdBfAgjt+XY+zFJedI1VS8WkWkTM cDlEYlcsP3QcQzP6Ylx8dFLiNmiZEV4gSyU+wVYDNHVSWFBf86bEvnNntVQ7dILinPZSI6DbT/4C pfOhqjcKw4SK0zohR4fQ+rYRqYu2IXwgcRJ0eONjz6bT710eUvREyAvelMQisi353FIWZsQ/9Vqm R44JdBeAVYECKHcAHPnfSM1OqHi7zQmUvhthPOZbT61HOOuUYNuGcA3V57wYVAcDdmdrnTfP5KA7 9lVJ2qX9Wj50mzFtxUk1GGsGnvNimwog06a1o3d2OoeVc1UYeYo7Ce+qt2Hkfapvrkl4GkwkRgGq EBa8Gn+2ZEMfJEO4S2NTMdAJJyct9b+Fd5DY3QEYO/iuo4NLcrClQzqLP2BcbnPj295Ou9T1eCkQ Atq9g8mrLiRzkeUkxelt1a99KAy5k14fejZnVN0lTcR3Vrh/BUanITCips5vBT2hm+umhxfliaQ3 Q68IU9CBPuHOdfYe18wap5G5WPXczB0N9narJNoSK5pff02IjbAxCMU7u4bsX3nids7ztKXEG1f0 djsZjNY63tNia4BvlDfzL8Xj1Ecv4Ai66QcB6iV3PY/NuTHer3wQdLxT3BDNdEOzXb0akPFWLX1Q i8xRyQb2q1ldhs9iwFFH8gr0V7iAAMWNmU8VKEItRcRsSltCu1LF2YJFrZZQMt0vBsswnSh6Rbtg tAmyPKt3uFu36cW+lzyXUQKLGoUTWjmiRXzg/qp6RmUX+qIayWy+RfRjJ3kchWX3yRut9SqVrr1p 0k2pESwFQCs2pEz6QUPs3I8ZnPZskf2A1SqpDYDSLuhwY+OPW/nzFFvFOBGKwBBfRO5n18FbQoMN AGPCmomKPqAi6IHEBsVjj6TGF/uAHCqzAHzYEYsJyfXhzTqNqBCSdsZDJy0Regu9ONeg6+DZcIgz AlI6IltvzB8MfeQFLOSGexpwME/5DxJk+Fl0kOP8QZdiyFkNqPLzOMKvOf3KEp5gl3380K0U9HJC C1gJ4qf68cVXXWDWuQkcxb1Kxwn8rIA0HC3I7pfeiXQSaOO71yF41Lrf2Ucx9C9Uv4uunD3wFAL5 EsF9b5eEXVaSFMDlbMFQNfUbNeO7H+USlYy3o2dymPVfzLyM47Hj9nMlFrwpw/XN35fS1P50Ce4d hX/TUrjnE8WrYY+mRlYzfI64KSiHYAykSNwM/i5MzxSnhixJ7BljUXcBnyCV3eaKu4dzdJWCMNJM hdYVHNF3s21VQrWmqLDqPo8EujPqcz5zSzh1EvvxM8Evrk9KOQcwf/18vycJGalZTbaooel14Exe 0zvXQ0YTL7JpGpSMVuBKaO8epe8h27wcTYv4fy5NR/TOIpiRoIgXQekqL+mrQKyX4T8rPhkBbHC+ KvRQ0clkpE/z9vf1qvtVnlwLvQEpyIzDuLMO5XNDfUdthhNim6cnEZu61440n5VytvBhstK/CxmD PJXe6pkSbg8QPAIGgSuUsu/z/ZEpidtFNTbqelqIw9FFWzKKQmqbS9LhiXmaCx9y/Hvuzy5gTtnt VoY26W7ot2pRpY5Ula7Z6ytgDTwbG6lZZXeMEvp1EihsJyw3qWTSDFyakycgQa1122r/rOiartIv gKHnT6NwARj/Z3p/53jdSn2mnChbixK3WC5vL0dKm3umpuVIqcpFWS10SPtF/sF8i/QiA7/Qnhoa yeo4mayI5EEW7+wA0TIoI6I0AfUbJP4e9jomo9vCNORloXhQCI9D2n2e2sjNWUdQBOknuQ5hBPLP FYDS1S9uiC4WyfvSxi7D4JW10I7hdOLFl955nBgyNUjht5YgYQTXRYurOzlJlMDBO/6zrCknAls6 0nVvcVxYT7KF93Op8uaM+HnsgdCC9jdko2TqTBGuA5zZt+JnmUI43Y790EIkR8reLyN1fsd9lRTK //1riWEAwF3ajHZ0t4A47/+f6MbuXbZa5Bke7NLxulwY8YdUen2pGxQezrbykpOFDydUJb7azA3q BGO4lH/64aN7faoB5twhHHKHEHuxSRqTfd+6NnxSt14MTxSMFpPN2xRq1esL+GPq4WMUSdqqjwV+ CtoJ4jQJmJu9oXt/L6P0uS/+NrgtM/H2xQGouJvCXvL6szJRgXBRGA7vg/+t0ecuRL/+Yucc9UvR E8+mBFc7TIZmn83LuqlU5/XL+5/1EJeJGLV2opco6s9ngAm4aHHy0dXqAjcuvwk49ADnkI0lezso RjHq9XMo+pFzIBrSLlGE+tWwE5HLomlx/jtx9hV0L2cSLpxYCAZ3erxzQCF1kcLluTpsxUvHbzid eWB4UTNnMBfDsiCv+ocZoFb4Trpo/oDEfzsfOm6GabgA23zg8g82LrbcEIQ6xIK0vRa2q7+/8WNB ew+AAXyF1UsxN2jOCQOF25aHhwwmkpUt23zSMgZSLO9S2P/K4g6suy5e9KTiF2gnX52k0SWWk7aC FBFpfSrqSwcf/wGWk0d5NGw++gXJtKrOUzjafzi3A/VVsgrSTnAgpi8GvuidpqSBgo0n0hy7tpP/ I7vNInaPpuXaj6tSOjlpbLRnCyBzsaAXDc5qNuqWTfBKvG5mrtm1PVeam5MZiRJBzoUt3XRskA7S p/7l2ZRT9PM8C7yD+gx1UgnKowPZlGTDMexzxCaWGugf4Nh8Yi1AVro1E13rgjXcwZbL7BKmuN/V WBHUjEo7uatbZ12pCYMXGdQtKOMHWYOyspJuRdsVQlCt+Py8OZs6H5YkEE5tXCHXaKsXadQF2JB7 w4TyThF7BeP/9NbZTwXTkvmgd5P+ODmUqpReDnwr/dWFO9Z8pV9i20wqUNZXLN+57zJIUlw0892z 5F4eJ7nAfPzdpfyMbI22OMNAyb5YoTTT12eQB8xCMvcSMmXjrSJUSt+MtpUt5S+02LzosuQID3lH kcr/BSiRqpbl4KNLK127CFbA0yvyAhQGT3TqIU0SQqzeZ6l5WRcjI8/eZ0Qer4j53442HC4lFCM0 uDJMPGYEVpT+WJOS1v53bTZcopSq9t/9S2w5CtX+YVJq8eaGmNoFFdwCKKZFJiyuXAtlcxEgX9x+ f8wM4swLwtCx6/xcMajqUU6qYbwo/r9DAyIKcfF8E2mYe6qQmBbvcOAz+1rXQD6g8lwWi/Vqv32V o+VSndIXcKVtwwmYqxVk6tUjMWPjHS7jnk65mDkBnDDgk6nznov8Bijl0tUeT4oeJo0ARis5tv4W hqpDvg7HN3EmoJkaMJ+Teat+jE/bo6ZvVcryeVORquR+0PvEkf6svzZKLpbLma1zM7jeI5092RAb hWQoTo3y5bMMbTUnoHGGfa/EQRBbB4eruUf1ddmZP7gAPlCSHTbQlXIiW1b+Wns+dxYbZoQze22p 20KD3t/8i8oea0ZIFCRSPe5+KJbrcoFTD9kRjEqd29Zo4qdRXDElFU0rfsC+O0DaUTI+VmLDHx4O cfeHbcN9i8o0QAIWiCYmR2sRkTT9XmHIEAHuSNPC45lZoTXqpdyD+bxhRsxxjokaFg4KJGTCceDl G8G5TDw3oJDGGcYv3gH5ogzEScR/gglTaqnkvZIJ5m1GjIEw85EHitPjD7AbhhvcliKjW1WpAIym l2sm0yEPFETYnXjLu9Img+X8wyo7ccuA2ftMyxsYt6LBTsfjxdDgqGmpzePsidsM5Q2iJdRi9m99 eEvGNuPkv0cq2ierEhX0hQKD/smVFzlIs8JgZc0KC/odVSTd0NZas7tTMW5ymch9/K4F60DAqiPP Pit4cUfDoXqlOq8vCneuZEvyA24B4TH+mVgT26KVA8bkV6OkcCr0sWXSMzhYXyD44HY3068KmjQj ubd7lelz5ZUlhCUUbAApknaVWWqGZHiiAL+TKK1AUeNVjZKm8A06aRiAx+JpQADBa4mKe5mh14Vh UP1bD+vL0wcXcKav9I9VqK7aUts3REvo1NOIAnotjWkxwhMUqx9izrhHMXqe+ku6FpZcUHXPs8Y3 6Q9jtWgzVNTcsNcAvO1mrKr9TjNw9x0IZqHE0H0bs/zx73lxwQ/Ff4mYgeQ6OYbIWcI8YgQ8VpHD BFaq0S+qNrTGdkq9AV5n/GN56pzHPw5mXd53WGXAwBaq/5cUG7p3SfnzquTpVgysTu6xZQCbgYPE XDxWpvWl8lC032Nuxw0BAWZ8vNGXIcHOCz1iavo67caKpg9UTyCT0RWS+Vz+OtAXgvZcI4PHKTyU teD5Cl/XpO/GUnyZbTR4/NWNkHQRsuVL2qEvbaab0OQgddtAPWuj07LFHyd9BLvFobqC7r6bFV7t ngmFd/0Zf8cD5uAiGgYE6rvnPhS53nQt+pGqDy37yZyw9bEW7kgyhP23dwBiWPa9ykReLbrdw0JW mKxhvbsCfL+ByKiX1xR6+2TkIWivxNgv8iGis6blp/O5hwl/PxrYHGQfTBKO05be2IT49Rqeo4UT hx0L+4kjQx1AJkDMeDeZP7NdLcCLQYKiL1q2K3NybrEQvD6Wzd7tF35uYHl5iWEpPqakhoijf93A qO1mbkAwYe35q7+VKuTqaGaWTZqGiiODidrPQzXHUQEySN78eEyGHWGhO0KbC7z1F3la7Odw8ozv Lb4CxsgSKDpJlBpETP+ske6FaJ1rGP6pRP4myaYPRMRxgPXYLmG+vKRyM8YT7GntmH6TqoduIVlG vK40jYL+Ug5mvzjk5PNBSIfD0KnFOijfg8R4VcnHJlxPxlp52CJma28hC+ctFDN/ja1ilQc8c5mS zITP7Wlsz4xhnSFrAnTjwWtpHSI8vJNxRD+GAeGrSEmiBSEbyMZG4cfV7b0qxK6CC6NSfuqRvS0G BDHqcls6bRzJBE0Z32BqDDawXnxuOjWR/EQaGGXclsoBjL4hBYvd6blpAGfjwK2L/rtvlt0jVRsK TCofzCb+Js8YA/hsKmPkLzK/rhnrVt4Q4hwHvg3vvpfSN9LCLBI7um3Aw+g6UcT2arY7CLhYpPz7 HuPdMcRFpbbCEhVjR30GupJECLe/GQheDRgLuq9AdHXvX7W1/R5PbrCl7RomcGK1o/vAprfvbw7m byfLSKdKThbeZbP8x73PpPhib1p8IaS8vURNrV/8d+1fFqo6iWM2cLB4iw2DPHTirDuhv94CoaSx 1nQ5Bc1ItJkaingRWUEpgMn99pJuDWDaqaaMVOfiWfOMHIJeuJP0lCLIyKNH8XX0VbONrnXc9KvK ae25XgxQwZzSiTQEcPffJLs9VE/ZpApfgUfIOJEp/SFdIMn2jDuzTK/oYHXcwfyQUL/5KwfEuHVp jMDwahFnIDX85BB+IZ0qq06jxrfZDPFWERd/a2RSMpFLwegzvLRKQ5mi3LQk0cyQVWln+4tHznvI zQDqLVnWesN3XkgiEfyb2qQEdmJx2Lfxe1+fMZUlZ3cDMQFdxfPZMPjfKz2fo84Jqxrw+zpKKIUE E1c6njmt4LzhQpjBSJw285l0qnGV4O7ABEuJeBdgu6hws7TjQNMtX7Pd1jFWeCsxH5tnfjp1ciwE A9dv+PsrTJCJVCvzX9M7VH2EHVFdXk/Z/qSizo9oCthQ2eHPwFVs0NmitzxNLtfB9mpky9GPlxFD 2TPgLzGXWhhhFLecS+NB3t/+8t87FgAvIcrU9sTJNSMmmsBYKGo9CYn0zLAq26HybZc/YLDTH+lI +2syayQW+yY4oHwZ7kYnSfE0IUvyk81Yv0zZLyl4x3eDtqoLr4RAwAd9E8uwG+L4b3G0doxRk2lo 2/CDHBBlyjxJv+wI1bFg1bhoaQAyY8DhNLU1Bc0OFYW9z8JLIJ4LEgiBsixJIrvPUDhlg7Cjusb0 3WfcNBGEe0LCqjRPNKEnoraTjXKJU9ndk2d9OSUcD0XMNMPHUPIWSuQG11X02M/pZOIB2njfT6x0 9U2kdfNni3OGsfX0Lefgew8A3MRbVZTkyOFpyW+J8TULzQHzVi4rCfDBhs69gy3JlZIOkxiOoj55 BIJw7oQwLCnmSRpeCkhYx0cpCSOD6a2QD28KZNdAO6f15zUMgS3Iq99Wpr1zXZyfUdDHCOwGTqTH GnNskHbNX0aeBC/DVLieJ1Oq8ZzKNF7pGkp2FtvS2mqbLkSvhieGWaEVyIeEwAsywRzpJro3+PVt qoYLneKSgfIe/c1pbNWPEqj9OJx3ICjwLmNcvSEsw9XECSjQDrtE1OGkjiPmPFx62ezkW691De6k xPLBVpIh+kUjuLVL9wlPdmwB/BkeZgO6b7it47iu/NUSapeQSB2XrFWmTgxK2+NqI06ow+ZDKnMJ ZNvySTjr21Oyh2Ptchg1JuQbVdjAzRA3N9eDxBOQFJeC5H84WfY6KYxFrRu4uNUDmoyu9yY6Qtkh mZq0il0eD6FxkKFtv8WUUhUsaGkmN67J8jatWRJBxH58Si2M6MvKj8fUH7rsGOJ0/dP9hkzIeXRr 8BEVlZEywSe6LarTOpuG9CbRtggRkwNu+xzlb6hUIsRdfXB3t+stYcwwXJaklPAkQtQ4yH8X2ums PyQpNMxKoFBSTzyVzI5+vZ5df0lwd9g3fgtHzolhkJ2zkjS4NqtvTqfKbIhYjR8clKorRzvKnPC/ YPdMlIr8GdfewV8sIBEcg9HFZKxUWkG0KB/pR87EFeqgeZgYQp0W11099JgwZKlnTtdGqEbtVWrW RHgvWIIySe4KL2TlPZVDUA9W5mKH683iOj+y2uzycdMoDq4J/IOt2GKPN1Fli3JmH07xO8GtxlAI qHWBDkvDCOjPukZW9RBUlbHJ1r55aQuqYJMqTWE7bF0unydyzi1NLyOgkGubN3BjOF5cVwLX4Eu8 XRRHtmyedtSJyl9NU/K98crarcuE5mHyE2QDQGU7IcxRd1HV/IkgDxQ8dqmSWl5EKMP4PA3s4mKI MWZvR4tl0J7doNXKoTIqFgJwqWnNx07pcD1Itm+1Rj02nOH3BAdR6LBHndrOG3QajMc7OWWCMCxc OyIEuCz5U3qFSX/kNqL4+PI3etiCPP6wAFuetrF+ONy+6udkvIReZ7BWYtWF+omjfFxUEmFM297l 6mEgbRBzCVuyGvSo7dQ2wvBiCC6GwMdHnKrIDTiBv2Kmh+lJ0VpzUGgXQF/uP3zwgpN9j1Y9X++T i47HUijaAz0hOk6wpIPOi4nQJOg0YphlFd4t5fko9hcaT+U0SBMwVXi9AlP9NKQRoAMaEIl5wehJ BN8dl7sumcxZbrGd0pFT5R4h0tC1rIU2b4Eb3S1M8PxkcTMEZ8xHleObiv4Xeb6e6MjTnIwuspYs kirLKdotdjQqLxVAWri2pSO8OXm5atWUoCQZWPRoZ+3TnkExkUcqLtcfII161t8j/w/ayB2L0bYB nkW/ZYmbUg4PoOSfoWP45QJ9H4Rxp3kky4DVQkrLZ3s0swmNY+LW+ugalEsDG8p3kQIzUD8e2OJ/ JmJONxD7K8qdyhOFCwH1iM7HDdPnH9L5h32pGGVMaxj3GY/JLXqm0dpLUC5nIkt/IAfmNl7nFY8t tMmtqzV1VIu2eO5M+lvC/N5Pon0ey9ADnVOsQ3GGY/1c+MR8tKg0tvE24SXjXoNQVKMDYUADvERo C9OtSZHFcGqBBbWqKQ09359PEG+b+9JTn53H3RlkcJqYetL6Nv/YkOMmXj3BKro1vXiT8iIa0oY0 eGU4ye1q5JkcWPA9pOg/NA2gvPSm+UgxsTW2/D93h8SfA8yffn8ZglCoAZHHQa84L/Z6wd0FkmYZ MlLR7yxDuBBVEqbPHM5s3gzbptXDsl4o2NY12P1+fOVUL62WtgwT2XC1+tPDIV3UBQzSA/vYNSDU EYfUarGHxsUjRzlAE6BggCuOh7R/DE01LRT+iejuwt0KelgR4+4Luvfb5Gow359a8tMQmu26IokK ukuXPEiYfOsriSKco7iAwBPnrgBSkKG+Gfuf942fJwrIAqg5W6bx1Cjo6yxeY3yBLbZANZD+Uo/y GXNig/jL+pW0Hmx7H0HDVNXLPk/E9Kp85P1FN7cCA+I60Ue9T2UiWxg6iAJIOhooBytBPgRWmrl3 wrBGPWQLdbDE4fo+JK79mFP8ZdPyru7EB6eNNl6URUr0JmqSozj0c3BJGE2Cu2e4t48Z94C84+ae ogKS/yyj2IuSPxNGGXBKoB6187AKBfeJAcsXO/bldViDMukvivrS4iyFILMfb8Hh5wtR/IF1wXmL /rxjGbm5zaWO4mPl1PsFvhT5aaK0F+mFMQkRYm6z44e6ejmfi0QBpI4+SG9GHVoPt2Y52mMuUbAg NVbZ8M4Uow5AV/L9bONbL9rmSrEUbQwEnsipW7bOWaZGI9I1CwJwuw3Ji9WnZRzZyzd+jdMGOKKi 0w2zGktY0og9RxzA3JdQ3hKoC7AK6IIQSNni2rJl61I9PDppVfLYxOCuEef+xQKPmSIeVn9ob7jD dgTcqSVt8oXwCr9epWNTwqQAWnnOpt+ETZfavsbaKsipu7br3doB5EP6gD3wHY8aHdQKomE16yTO QUegnGogTDLBzDqoolX7Nreu/gMDUf52ZYVnL1W7ykTKHsOR0lJfLdrzysGcaA7sGLxlB4LE42js V74rWQgM3AdLzdFgts9jurRwuPPS//fKnV4rvFIpzJhn3/MvO66V1cK3xVjjZFXLs5u68pFD1kix XdJTR2HVQlgEvfHdB6TItivsTU/Jvf5w2Hfgmb9VnB7iT/9DUbowTMZgZ3Vjm+/IPkdfUalBF6XW BiPG8YmYx9EwPztmbXzJek7F8Fe4Pf9i6QBNlcEkDvGyIAy3ZCU5K74G7sMUNlyxq4KoJkwkESOG JLReHlsPTeKWCNq9kIiZdOL6bHelGNMvk6GV0HTJ4GKEhID7MCkoEQ1CacKuTdQ4zXHW6J2D2j1j /L56zWCcb5p2XHdHES+D0K4FOIs2ZdHQTlcJRzE1wcQbACVqOUz/3wjR046crYRq4wgBJt8Di35X sO1qJ2Izai0SsvUuNEILERivHEe4yaHHFUSpKwQlqjP3J3Nkx96NBXh+7YAl9/1Na9wY0GK0GHjP TmJSj6JknlOMzpnNPmAPij1YWFKPWMV/Lgaj2vmhlbYAWRKbyzXTyJthHES3bcjXz5Q4r65eF/Vo /miiWwuEld7wQoBEF3FeGWZDqLGWrInumBAxicN0cvf3n2C3fi7NlSWam2ZVTJCFDpzZeorZMesc qu10Cb2Ky0HRZdAtWUTT5f+dK6pm4yM9o1opbc79ynZn4H8rebIl1PnhrLoJOr10RIxIWvfQEpOr OeJlitp0mddJfgn4U72r4jNnu+7BKrrgxuo/y55ePFhq/8t6g6ziJCANiZwgfFUHs0JhQBzvidJ4 baOnuwINmpZ/syTay9teCjbZXVdLxlksFP0GIszQOblgflGPj3V3qoFuHW1/l4pdoRKQ7IYir+zf 7ahjaUEs/salhSnFgB7e9253IXlAaJzARDr9YgZl0DGcIBkB3sOMjx6PU8KbAodoY7B3l0Dw0+mD L5snxkrdFY8G1I/+R3f8is/CuvzK6POFVm5yX06Kctl8zIr/bEvCcwwzvawH9JaeGjGW3tvKvnDh 2HiJPfp4qz+1g5Xztj5POsyMhEbxfbIehMJ76EuEuBeW5xP/xf/qOo49RrBLrsm3ekAfcLNfZedx uComwz8N3o3QQmf3i+vLAp/LhdXLxmkQTGPbaDr4+OclEw1yWz5Oz5LEcKavkIVQJ2LEIsfJWeZb ts0F6hPyj1gql5TRoGxKqM/E4SHy3FqDyMn+AMtqJjkzm+zqrB1Y66yLO3t9SHYrPtcbaI6uGDiU ccWlLcsMboYdItoE/qh+wT2s9hT7PQy21QpPfhRoXmeFJekOuYxt9sxYBk9hj1HvS+8br6mRu7Lq L6JhE2FPc1qx+8qPu8dcr6HNNkP5vBIW7JxbCJ6T6tJFXwjf2bJyWafewhOxBwyQ6UhIUca2OKHo DALnmTr4qOEHcKvvQVgsXCKpirRW7GYMuKYn43yfZAQLL81u/numS0Fg7dFVjg27STOTipVy4FXV 8A9dzqymtVdmjL9W9OxPnI3lX4pv8/+EI5E7YK0D2u3IRpL4Z+tmREq2gEkCMq/SucUZAcDAU82w tTynI8rznojFL1OZJ9REOlG9RLg/TBVwiYfz7kEkmU80lVMEifuZC6kiVgTf6umx/Eo7kzHJlN1w sAMmWmCRgvrf5mRGToNMYWD2HTSYw6NZVIREZBJ7tUAXblAEIwBq+KvJFH6QFa+h30e4lxjUg5pn LuN8D0IjXvdXdTMwJTaqvSRratvC4mLJ7G6V47JX2GI1k2URFVo37PhRqXqFopYIZyeubpbncGBL SmB6zfacn7pJUguXTix3cvBDynq3s/0UtsfaAsq4mxA+/KMfo3wMJjydrnbs9rx5810KKV/f5Dbv 2wUjxyYIhzftnuWhyp3ut05wL6GlHgNsHRMTJ6vCR+YtyFat0NoNUL/Pf+k3EUu8v09HZE9+BYsh eqYastpJbtCw5dx8mHUQwapjWifTe712gNa0QGyy0zz2L33YjBVrGw8dNlwge6buQ/VdooKBoihX G7ij3JbC1Qomqg93UOn8uTMl1bFZ1i1q/5DiuXxG1mDar7IDVEzQn2FyVYO3mpwgqgP9wwQl2/zi NRMyHvsfv+IiF7hkB4Fy2oUAa73gMtAiXCZeZXbrOj+cHJHOMwEdGa5Ch0g8oxJbm0+icjSSED5u 2VpFuBWOhxZ+T8S6KDvnp4CI/+wNkmy+pQkoaEbLT9JzME+LwowilwpZoOhXx4i0DiqNABR6e3Qc d6nbzgha45vIY6lo8UpkILWtNWqC4ftubE8rW042MPZOJk9MOvokqRsqMbEOsHBBMbF7azDMCxON YueG3Xtrko5XJCG3EudEURv2EjArjJlFJhp/amDYeE8FfpIruPzcRh8Et9hV6aWytpIN0qBglrlE vDl4pnP0zWXqbL2ZFTia2AhqNX7aJsSfiwpqavbDSkp4ZQ0/rtog7q8WckkN7u/HzvoQiH0luFZ1 q8swyhfs7AwQo7Ku0xmLoLemt4+3UfeB8r2nHyTVlAyXTcyA4xxpHbNjsH1xxsDzp3vnA7jpmhv7 fHat7b40MxD5phmbv2wzADH9cMvOXGT+1VDP6/2X70VgYFgY1UN+obSAwXvEmgKiHA6g8NfiP4Zx EIKSROTjkliy2Pin+LEvRlp3O9gJZ50hVmTheajmrypRysHt2oIQdQbS/Qo4eQ60cw14O1Iw2Kd7 nT6Mhg9D56N/A2awPnKOt3Y/8BI/JEZqKCdotAqkLomzHtbf/8aIMcNlwlFShLCTE4jWbWYm6ulR THfwL0qEeGfBXa5g/AAx5CQOPQ/jzE2ZOk+66JycoxQ3UI1shvfTBOQdZ8Lr8K6Jg+y/Fiw6cGN5 co0djk126zzu4Tzu7mzmk6zwEPkyx8hoymEEWTDDpTW7AzBChTc3ZcTZXHZcbdMQyvkBfBhyWJ5n Y4RILCXXB4xiFF9RQGljB2db7IO0A5u+fPbTnPsN6JaAFmA6SIQnmG2XvO0YyImyZYKXl5JEzLkk Qy3aJKQN/noMX42dSe6FkqTeT6IC0uxEWOTJBKhPm2uFoAasVXDKQGJu+awvPA5aEPD740Sj9Hok 0s4fAprfH+gM4EQWl7blmeivtttlROeUAgSEYTR5FGKwZtYY1P/+WVD8Fv0qqIUuj1bsNYZGD06O b8DnhEoN/d9k4B5hktXU4Z2FDJuN1dLWjBEHuYcBK+vsQyH5RBqDNbS7h4FYBawuZvGZdtpZXj7B /CnNc3WeqBgh1RPxnIgp3bQgMSmmtEVUUWT2W3+LJ3GK8kj6cWzFOoQHMC6TtPPczbHPvcj8Rrgu VLI/sQdJGv/YoiTLN1tleUFRp7EpVAKXMW5LwhBdxPZFaAwytzcUMqDRnO4SdGBqutTJu4yVHgGu 9twGNxHJYFO0ZKbxdAskfFBFvgvpecove453PS8NwpZw3kMG/WBLuX3DDxVd3QFjB6LjYAydRpUs t5WncmouYwmqK9nLdIg1LF86SN7pu64Gn5BAm3kH9VtGL3a1SdoSs82GO3a0LHpgiQkSoAJodHjE MrnPrVPYJIEoxosRBvDwSG1jMN/fD8kQ4r0S3y+EEwbxAsA2EJi74BHvxNb8qeF+gzdtzSelCNsB cOsudHc65ezr1/m1wDMSzj4do5tDHDgSMoqTMc+rKzviiUmFIJZGq2xoqe07TJWygjvgwgPXu4wX dpjrWXG0LrQq9cOr4bmMwLpo7fR/WsjWtd3Glmz2mvUUgxQBjMC82JlzLVLUV6R17LMfCBm6pHRh 6qym8hisu6GFB4pDLwHejJIqTc1bGbMLKnlxsFk1MxhirphR4ywCCZkbA0z7eqa5rsPe6zXM0vEo c+trSpjnk9K7DZWrvWS73wwjYD41AIxKPMzVG7JRfhxv/qBxjCxJ5vQmK9MHNdPUCl63GYmX7A/f rWWn/0MeTMnDUgMuhJIHXEqG7E9+XMhLyQkqdkn8i5o1/pVJA8uLQI+n0XzlZGffiWadHlGZYLEy VBSACkw7LPF6Drt/fKddIxUfalFpl0G2hLb5fRB4TUsyIaNch4FWolTqaprEzCBmudyibCovQjbk z7hnofER6ErYYdXIP45SRKGib2bU4KeK/O3KsGm9K563h211tap7V9TSH5tjW6OFTFN1t+Sh4VY7 ++xx/4Sf5TfoudPMgY/L4QkHos1Q7sHknYuEzH+RR6qao2PuGmB2nOYMeRbJ5HBneK/+/OOz1GfB kUtCLedwbLC/hSM+ms9qFFKaC556glF2dmLtDP6myjNeKoex16ehWTkuWdiRol0+ORSvpu9/isPM Dkr3VXZMBghyfHaPiMEKaIGI+3O130jRR/o27cb4O2Gv/FHoIVMrHBz9e14BoEQcje8QAl4zvPNR PxHguBziib4rX0D+01TBegUl1/QUMTUcyIpWkcixw9gWIosMGLxbYbJXcTLtZKovRxmfpzsqVPrH eNxESVw/SNd7c/hNmBpCzKxCJmiiG67axzTUnVJEo2MI0Qi0rBnAdGUYeZjLJ9XbAr8/jqi6t3r+ KKV6Jm+G/O+bedX2ik+JuEWDQ3MEKFsE1dPyRnM+HwilZqErLcjC7VlPKPwrs8sp3klbE3vhO9o1 dCraxitEhfJBcPan+trXAi+i3Ey4U/zpdBeWrKh2ZKXlSsqfG/P5snYYqCNucmY8AemuNB6K70eP KLAyZU9Lx11byc7CGBtE+SnJzEMvK0MmO+GZ89mSLALVOBNlLgHG+y27D6OxrrirQ3zs4jfYQUJV ZX7Xscrl+2i4s/IJikC/lVEHVT0KUUu7wJXJPkOpql1LG+LFIBypW0jDVx7d0ZghL1J59jwxBv23 6Bdx2Rbm5IIJI4yp4i/WHHgvkpRrVj/V3Oc0fA9AZ7VR3mBYeBuBQt544yaXuooYg0X/f8DI9ofi 49Ra+9mo1GDFmHP3NvEttG20j6vqnYeuTnYKBLZKa2p/IRm8zSE6b63G8CeyZap+Grzv4fRbH4ZL TmV9P0U1HyqGIZcR9FqoeSk7vXg11xQVRRbAlYwZwO1ascKc/qyH2Bb16WzizUOTyal53Dfvsl83 q8veAxi486BpccwotZ3+1csh3khMmTqmF3bWs145amKpSkmybvjJJPmQPGabhTFuGniTO9+nLFkq WgWS3bWL3mnzSnVIXDbqgDuwbKoSSUOgonvOVwM+4jo/bICxcS/aIwuq67JyCU6mifmfcu12hu7e CJmiI5Rn7tc6oCQ4syXdHPeiiuaJocN0annzJBuhuKQdDv4ImzbejoIUTaew9Ki/AJfdytyhMAX/ fJQDAYMONN3RnNzL9f2jS4seU3ZFl2fbQTtdJIZ9tyazcmcBdpuncgagNo0OqqYcovz76JNtDY3t 3bAIZJIkDvWVdJlFE9GURRlC9cJJ99TF+QAAR4ux/QODO2eIxHEZf6+uo3W4wboxEtoQzlquG8ot yg05+R/fxzETNJuSZyszpza8O+EsBIGoLDg+igSZCElZMCrfT7ZiT4iOK2NmZ1WhCYUf2rZW2k0e abAl9t4SNKVli/WpwFk2BM/gPriiVK+8aSj/wz6Yx+tM9zTuzPPXunwdBd6iFGKHO07r5JRuPSIs kZr5theJskzOh3XftlQgLkKXdbAQ0PrqdxbLlm9bj9HaPBLpP0I6yyEEYgOx2QxvFL2ZRIcVDAeI 5eIR+rj2q7bABPbu8DUDIkG4+1UX5riVPeJoLG3NC+mOWvV3ItwI3BSFg8S7iB74m0J1zBGgW25T mWsI9Y0mWW7CAViSmRGJtCxYFHpKlkJmePpTmlZUZyXryN46LbbSCNzUw1BYkbXGXfurf9WldQQH 6h6CW4tgI2QaBQXbIJg+62/fYjKxJpWVRK44nN7MtDhErLET/ivcoINen8yqqPfwApxYdlnyiYPw pvYLw1MX8BdX/yiwEJyNl/CNcUBhz/xdarTpxbu2StUEmjPFaieLO0kRtq9DHZmHJ3dTDEet+VFS IE28uQdecL3okvf18N5wiJntwp0GFLIb3PHOcCzv0vBelOGFMwux+X3Dd5LSTjvCP9L8WGqN4pjv 3h6QmAUZj/wAjDSg4stCXRYle6PWHZqGjjlDaTYrXHB4XZcgok6tJz9YHqBXyEu/+YMr+k2CpAl+ akt0vo7O0YGfFqKvIfFGMEOOoi49IgTTY6Fq540sFFZfOatGj6i4ysN2OXI+9yrKkZ8Axa6jQMCo R6KyjNfD2LWCTglWgLQFwjeKL2eIVYHB9Sbg41c2iPP4X1tnodbf1uDcUd4pxs2wQO8wnjXay2pr 6orLYwkren332eAcOGiKnlHcxNsDRMfHNd917lN0j59v8HTTB+KFjrJe2646WO/dBRFykyP1gCK+ nv5h4wcJWAqD1z9E/FYt9P10eU4YdFSfwZ/pGZJy8rmJvwbBTdHRgVxtTChudjlaXXwev8Tse6Y8 dev48EnOraWRWvNnQF8uVvOZcQ8Ir9Cxdw40jCDK9rQ6aAJ1CviVhArzE/mZGMwXmFBlQJOXFB43 Vyrkpc1FhzvpKnLT9xvtvnapuRxV3m6EbS7on45IyunaC8H6xPZSMO845KFpc5zz1XOKzKgtLOwN LK42zdsDQbT6uo9qNMf2nF95Ur5lkEcobQ1xTs4MzMVrfHY34ButRKbHbahg01wefz5uAvvoiKOf 0qgi3YsDbJsH/XCSrd7i6HF/eBc0dehL7TSsXM0cETrIH7eVWR/XcZSCLbHNDKjBBpcNimjou5BW qAJB47dkkW6l1M5C+wbSmM6H41HCcyiAroa//M7kY5At+MI0zxRi2tGSJuN6VBdoWySJGj6f8GPp NGLouOBugjmQi29E/U+p9FbC4KHelkqEZ/3KaIWo2UOwZlOXmt5D2LIj9Ff8FcW8ZSXzN5KgSDRL 4NF7k7casYq6uLoZez3w79wS1Xpj66vfNvl2Gv8oNoIg09Qa1+Zjrimkqn/w80I66yqoycpGVDed GPRYeSDlxGupE6i6ka38KQbsh+rc37tSsyHkom9DfdhuoQTb61cdPJjAAnFmQDVSLyfDCNyGQ5M1 ILgVIMXE60rP3Pf8zKtnYV4jaWeUu4OIh46bikeI+dR2b4Gptkbgh19JLnChKQpB/QovbzMPDdtl osg5cL/RbFCu89oBmTFbIn0hnQs3TzLulUmIKyXScoN0xuLcdIdAWf6i6QFR6RGDHSZU9+xTv96o uosexeBlfelVzAMy7395W/HQsRRngT3bCWLwCIWYkvcLjqSZkwyVLmH1hUHQaAQtPGvA8CEz+GUh AWwdfCiHugjNOVnWVvjzNJusVjnpr2lPrDH2GSvdpc25hm32lUNSUp24W4KuU8yX983RkysB7zcu m3T1QLZO2kqraQFTw9RQly9WnR676i91HeXT6SELPUySf36OWJpxY2Baz5WR7tpjoe6lySOCsde5 4fwfUAGrp+9sIoT3vujaNzWeF6vJ3NtWJG0L/eSCqBWZSjUTP/1EYVYC0S0GTlxa7aXJ7KKv8Kb9 /RbeV+8ZDEQQa5ZvRJVYdP8/Gy5phdYuc0nDxIObzNl9ExD9NoA5WycjLgLJrX6gPHbHzDIKdrXM NM7NPkQ4FH2tM45Gh+pRT64fGZxJdKT2bA1d4jmeuh3eiYD5CZG+hY3eIqM1JLBZ7wN5CGKPHFUI vGiTy//pCYumedRJYEzRlZr26T4f0jCAX0mrf+pQfGppHdWHgnQgOugknF1YF/Q5gmKAbJKRvFsD bUTa7jmFYg+wVl8OhX5za9EyxMop1yltwWiTW4Jnq+fZSi6wYyG4syxGTzLDJs20OhMQ2DbKMwMC JDPHarOM7K5eYH2lpvqpzAZVm90TTQKNFSxvd4ovj6LctcadIP62Zd0oRymKsaIgtWlVxNy+VMmt VswVx3nWQ+QZqLLZiA6wr1BUjOAMk8944EV2a+rPPPN0a9n90DL+g+cC6tvXvV+IvvK+NCifqOmL m9KUZ97iNTPqRLqnTiL+fxW7Vh9FeOQSFDJlxCjtSacXu3a+iYhWNgWEXBcfT8xR4OYcpXd3Qf2d g81dfEAe3WRFLaP/fVcneXqhliMtfJcgencH2ZGoC8l8xvxj2uSDal+bQGmJy7GZoQr7q9hvrr/9 8Y4YV3Z+9GAKE7fxnlURu/Sof5PZ2Lfxik+EJRVjd/JPPwhQBDJpNwuIOf9nQbdvzXaqOqF9o/9y 4a+ctEJvTQk2LYJRCFYN+OSqqeuLFJWR0+hV1/ozv4P2ANJHmFn45KKhTEKGLZn8LP2CRNGUKh2o D8gPhL/9DrtEq8LY80etIIWtbGSjexME5c9ZYCNxGnYCSANmnex7d1Bsd6O1Y9Kg8ySC0zzadnDq ZkWANLsdk+wnZW5DfC93pHEEFHSN3/A5YpkuozV9D99NynKK/riNot5K6CXeTDV6NthYV/ZK5GOf Az/+pRPYX2/l3E/0z4Fbi4tWx5V+5NpSTg56p1+DHnafBMEqt9noZx4zCNFGWvR1CmhXzR8FuvPc UwikO579J457nFrr+YL6xLr1rhUa/bNwBhezhMvgIbFiQZ2JOK4L2YEJIU4pvC8JWar+9uTYQdkW CaEhEv380rhliNbX39cn38HbRPsOichCpwl8fInywT/Wi7b1M3Mz6tudRVC+HkwVy4KAQxa3mWEn M2+TFYj6wHw7+9q5GaC8zzYuewVX703fAZjmCoyIPfOt369OBpwq+ks/q5vZ1UmrZLvyLHhl2eBS +fw0WhhTfFGqhn8TFgIDjisQod4mPFWBWBy/UVG7aK4hozf26x8yQ+qGf3M0zEVUIMw0HwwHiqSB Nnst8VDYHQgHwShZH34Tj6w1KprIVilKsI1ej2vCM/7/8+cLSND2cMCi+ilvo7MsxDZuhjNAIp1v jrl701SIfDqGoReS7jn4rTKejPeXES2EYu/EPIhNtQ85Rhzrmg2CiIJEkirznQ+mn8z3O8WgOl/7 /BLxb0eNiLs4KegpuLq5+tJo/fjBhepBuYYWr5ABcjytU0/fhsO+GEu/MQcGoe2vzMLhFJNZXKN+ pcqSUXex3O8T31GGpFCRIDjWxMEQyu6WwmcS+Wv9GPnv2lbqKg/4kw7ljwTZcDhaoUe1xbbTEbfe rMIfWLZ3lqcpqg7nO/SJZDF5L5GQv6yA6QpVazRFhc0saem4hSL0TiAZo9fpxXIgLKpuruBXBEn3 4PUj7CPRUU6tDJVV+G0Hw6dUEKrWQwFWCzePgCtAdsmaahIT8ZGC2bRTJ79j31mNb3CAUodS2Noi PoFeKyaob0sZaeLLihILwCw5Anx1bxYSwAKstk1pEen+nVSXeQTQHKV9YTRBN1kRoTOBqEG0Rtwg xBzFCY/1eqYhSnugOFAHp/9dRWb0xSbDYWALtp3whf64o8KfnypwAWw5OzJp3jytlrtRBWBphiXy LOi5ZYCRNPIHbZ6pzz1pRc4FjKbJ/uaq0kkPU1mvsYh9fk8Be7LoCGUCKkQHWxAznJh1wtPAwSf+ clx7e2upTTtCFKzw43IhHutWl6GtAlsT/e6S3XMYlSN/K5JVKoVVP2LIocLiABtiFLvRAMv8P05/ jEgVOjBI3+rBpjh/Uavn+kuqxlu4TJlDRqNPZuyAFiQuWafSJ+NQXGHXXv6p4tm0CXPVwo/z3nmW zPKGKMzHuQQK0g+nkZw4nmogSsAy+m5T1Xv9jssVWJ1s90r9KnmXTzeC7JInqETVTbQKTzW1cQ8B kXo+u8uoVNww/rUFVmdfkWFFqfHBrr7713/oNBf/29xo+OEuB69LqhkRQxei9njEHdqkoTJkKpzG eOql/KSMpK65ejaSr4pECbKgUmg/HBfsw8QCJy12cwWvMV8y9TdaliwdhkTapExKNad27lbGGpIb k8k4Vjb9RHsZGtEBI5JiiLzahbPgixC4S0AVCTnqL/VRPe0Bd0qcaRfNKPyK9SjCCsL+Tkj5RQiU jGAdSWfR582FiE/eQudUl+wRvFyGb1qR/NQl1ktEgheix0uIp/Lpy0BbRPsRQgcuRLzfp1SUqdmw IF4A6Dhrc61mmGqTFQrUG1ISX/qQimtJwNUGBSun595BqV1Zv5eBCh8+eZfgMTZrPNSO6EZSOWT8 eygFJSGFPtNsy3mXgUQWJMPvbvzTaOGVfkjXp28xmE51apH57Cm6HwTKOfPNcx2CcQ7eCxT2r3NN sAWPk4xKFxPsT2r+P9dzvHXCJtmjRH5AxQJgyAtS83xr1ldbGtPzFyXFswIAc18Bm98cnNKlL/Ar 51EOEBS8tx6RJKujOBhCnIhAaKM9zul61cgBV9fUcVwF40rsOvtrBFwUPPwmVEi/vBNYxCQZVsAo /oTdjsBbPzIY7GBEU7o4B09POBPlCaIJFXMq/Y56KegOIIF6tZzjBBapLUEbuIBLE1yYq3PfvNYw MfzPC5vLD7jcy5jTuK0+1ltMd5E26OFGYL98iIg5If2XhH5N/iD4gNTlzT85hvMhWlPwCnWz003K A3MvyBWfCjzGtI7hF13AIE0qfOWi1QznZgyeO8ZKEE218XLMArpamFJTQAHyMA6pgra17FSkImto WM8zcRlYF9cEqL2ohCJobmpf+ZxIDXUrsXgoMXgsBaOWnWPlmNudc/MUX/u+wyVroDFnkNTxXqCh h1lG/bpL6htaNCVVE8DhTVwvtzQ0YALrgnYmom8u04Rotf+mtLV4ExBPZ1I15TSQRGOSROJy5C1E ckXi7B3gV0yj+8iziebO+JeMRvnltFaql3AzlM5mOXEqaEtTBMq6orY6nulquh/htPiaV+4z3V/P o+3Of8yYG/Mm3YUjDTmEhEouVqgDey83UsBaBqdznWEPqDFrwa/jtWsNzvxKgNx7xWlqVwGOrfE/ IWow+Mt5X3AS4oT5ZFu9EI1buWUS2QvQaksCadqGXI4d+rK9ZylvJWJ+yByPBqNWSSRIXRG/fSdf kR8btCC5zMsHs+hlJAzyhHIl/FzUSJmfB4WVEGwWyVx8CcWz8Dr5zWfHvTrtZwc5+UFLuf9MQzOs BNwWnltFEe9a3iBLz9fKXS7J0mliZboXcWM0HzIMC9PtksjC/Vn87WP4Qs9hxOq2rYi84TAyD5ws iERB8xKvWyFgsQRmdJIuQfg87Qk+8iSWMqGtTF2fTaTNrbxJ3Li3lEGOVNl/TwMH19qOnFQsc2F8 WZDhKyAr4QohBxGEQybr8WBvlSRW4tjqG4BZKpdrKVqg5KfxU7HRzummR/iia7jupHw0mwF9wjpM wrKWHIw5hcHvw7anz0UZ0wj+RhW8zlmG7BJIkPvqazgXbz80DDZpSlyE4wCuKjnmUONGWRqoOy2K B1qSfUY7f8eoLE3LjfRDF5Hox2B824bICvC0eKMoqt6FKGy/dIvsUSqubFLzLo4w9/UZ8hOjKpK2 synRd9CgiXXzuWTNrud+JUWz5oh9laB3PAvF/NBKm0OZ9aTMG/xi459n3DZai0RuXRdNsy2qKzM4 SYrLL+avVm/IvJFj2A+SzI5F2Zk89M4iqI+t1Q4QZs5uP5QgYwfpSGQv30Fjqes9OZyN+vs+s4ks go4a9VQoSqXnXDBnvAr3xe3S9lHu24MYTvmUhju67Kl5iHST/YC7wfTRJHy6emkpp7njD9B3qDJv AbmApqhEtYOVFcQD7AIwAOLFeEpfd3TVc9OXHjUgvMAe2Al8Zzyxo1xHaFW40BHoGyIkSUgaUHiQ jKnPSIKOxLNpXCl0I96ocEE4nYaBJFT254vuLoRuxN489MYxZMdC2Xpy+Or3ZWd8JGhLQoSZavWh ToU+tSjMuy6ffTZ9v2p04CnKIB7CvhFTsKyPTqPmYZ9LuKbkwo9Xje7RwyZGcKD59m08cFqWoUIC RGv0UQdm6xBgc6UlGYtRb56mxcreF4/801togfkYKHmBRtLk2gviQ8f1yNgLc9KWj4hJtzdA10IB UERVBGf4cOEwapW+v0G82gy9K5YYjsMTGyTqdPd9Yop/p/poCXF628RVYinDp7+XenoWHALkSGSg XUc6fqg6ZW/vsGPeFEryd2AmeeUZ29w+LKvJ1SsDb0aPbNewXRNx42r7i9XrcKzZ1GtCFTVHDEyr /Nx61FvG2tmRejDdcw4CprRjjHIOafNTq12FoplociFeLLNvYS15dynSi4028zntLLX+t6wIkP5r bkjsheuRBglpEH1AoQgFQWQdXOseDw2c6BpRD0DnWICDmz/DuaHAyoKqmXVedH7ekWyW9EndZcwH ReeS+e892NTQKaMeT/ftJfTxWXdlXGZtavobogDcGhPX+f8DpR6JBp5y1fEpyhaWRpg9kOHtMihU EiwulT0CANQVqv9r4yvUOXLNqvoJWP7g6qefJ11AMFdJy6O9r23/IydjUHnWG/6omMSXz4FeVw0x BxRV6bobjJN3JgmNPdKPAM9XWH/XbtBnqIWVgAlwfCpIWZ/l2FY2acqPTebk3U0ssJ68dNcHaKFk YHIvzLDUE4vzQfixRF3MwyMbC0odbrBMKM51curArUbULTfTceuq0PCjgX0j9ULZijmFcueU78CO IOBjiZ8SWOTz3subcPQMexh1/EbM/+KiiesSc2a1Qu1F8g8aLubJWAWge/mSK1z/Tvuj7yz6yLrd opNB51ymaWWiTNjYRsoarpohzIjIXY8Q6mfeuUQA6XwbE6cdHE2N9KSelnpwVGlSsybxBbIt5Ld0 GWQJGw8hhHz/If+CI6y37Vm0EHQ9DyAgXcyk/LQO4u3gxerPHxvS13NueXfwYTyu7z38r9E9Ym3T 4H3AtjVjFbXzL3yU2KxrQRc7umqiUpK82lk3+m6A0IJ3vTegKb76s7+zpOoOnEli3ZK7f2S2W7Ij Q1Q9X1Tn/XhJl14y0qAPblnMxzvoXEcK5e6lA2Pj6Vdur4CC/OEMukZqxjT/xPSLSZp7AXJYW1Fd N6USOIRdW8xNbFwfm453KTkzepE6WWij8O4xSKNbXBSc+viE2BCmNDTbi4hZgA+MRBRYZOk5CgrU 966G9Ec4/JqIVLkNMkqqxeFkhu1MzDRLD1zGK0PyWNuDVFSph8lhtPjmVJoU8Ep0nR2JAv+NB25d UmoeAVuTyUQ6Ff7kOWDMm7TagjKdbVgNUiN81soQK6cHjgpoYriIR259zx/5OIOMK+ZtCzvLmQ+F Rwpm+0uIT7kprPIZE8UNltyqsKUbGwrbsLN1RRFsVNZlQes6DMKthr+rdpjEkotMU14CWptOFNo4 YXFFTtea0t8ciBOmsunxTZuqCmvbRagTUJQbAPKNQVDf/3nHlpqYgzYY0sekmdrCInlJa0r9IAT/ 8GtljyoY7NcwnzhgNnVXi6zKmx4gWNHh3JWbSxUNrY+Ss+NIwFRMYOnuh6MiqZajQtnBRUHCfgZv geE6GgmpouuJrW9iCVTmqWE/9NX5Odk4DvZXmntz23Yio8wAz8II02BXZbBF4s2MA37+/o9aEwDF +lVy8zLfxwkd18x8goozu1a5H/dr4Wn5awIFx9HwodwILp9QBCT42qltr44ooRVfsBMR+oqTxKFF +DYMMQ2XEpFBRCuOrdVdMMyHkZ8pcUF8xTKveIGr1hNtlmvsfzLcXr5xd+Sfwgud3MVdxnHNV7Qb 4EoBBT2JGm/Zj3/0/qc2o6EWOmjeZuJfQcz7q5RTl5S6Fp29kgfvqpX8+7wjUH1JCoEUJj4AVnY/ CR6CCNHjQXHZgZlBt9VsUTaxrvfLXeUwugYhwyng93FjnhYcBq6dxXwCsVQUPKhOrtlHGJUWHZJj jAFFETSMz2Ogv6a0pBzF3BX+/TbHWCTKD8Z48ngh4c/SyU6DysOOm0Vn8OmyJdDS7EU7vwnzeL2v Qz/GiMmyP6HEdkiO3lNXb4TCkhWaxiP4/jPRXBygmZLJ17khkkq40mMh4yj3czHJv6I5opmZiWO+ DDFGtBLPUB1ijy0wfFzyKgZqX8K3xk1tuKeTtRuPIoRRcxs2d9UWFjLHUEJWvxO9eVQ+fJtNLyEH Bi6MPNPWSL1q3N2thot4qEQL0gaxfUcUvam3+qApsdLK5vpZgKb/nxbONM2h1mvYHNj/yL+bd+qL hgVY1c+3yY4cLCH/DCJn6/QHvTbF//UWwvTvWnbV1pykkkuJLcV6WcCW9g0WGzPk+0SZpbuJF1+X VQkWY07ELg7dAQS8QgdFLrIOorVgLs7Q5rLcNusuDllbHl/pA9NUgID6ekQIr78mKOeyCIlTc5zJ f1jeNdlF3MD8FNshDciet/xe4ofJHAfbHGe8pFtwdTpp8WSsfMiPRp6w7LaMy4ucIr0cugi0KIhm 59s0NyyObA0wYf3iq0IykIkwH1vgNxkkLgk6k0HtB2h/9MqWTiOLiZpfg76NSkGZsq1/d9T+4geH Eo5URgRv1CKMBFgDEsBHY5i9DUB7vZ/IKy+bb+tL7L7+Bttj4iWgeVwqzx/kHpH1e+wmigA6vM1j hy6cjSueE7o+y+mSpIb35EMdHaNmRPQ6iVz0sQjGmRO3+G34y+f2+BkPuVtiV5AUl/25PnVIT3wk u/5GczF2dpLUneE25DN+o69shjXTLVRhb/yekEBd5qLkGr0k6oYIjjWkyBnuslcCis4gj22waEhc BC0IRS4pVyKsQP4fRU7sq50SyEMZuxmLqF1DO99ywsJjb2H0FqNWcvA9fKwRL7t3Lp7NgTRmY2kE +foj+GT+fn7VtfI74o9Gi6Wj4GDFAN0sqpe3vxlP9GnFL3jVVXymUkr5U8SLZ+7qtv6VJvKcDbMN CO7Md1ZEgfe4tm/9joI12LWuCJhQOyO1Xih4aXH4E1C4eXMcjYHhzABLUe+QoKPoPMS87MRyDhXT 3aEreq+COvNJTiCTyBwN7Fxyyylla5X8gpxiWqPizhCCAA3c2cvCMRydLrZaZNTtwUbbEEEb4NjB QXXITwtf/+h43KzU9/9nhk3CIK5B3CHptUyrs9fqpQzwl02cP+rasPdqgG4+uEh95OPfyXFMqCHE LpAs0gVLA9blNA3sDd43znovaRQAkDSDfZoq3yIgvWYzqoe81109RngH83B/ddCA7Ga6R+i+WSOG T7SdKiqQpveiSb0PcXqt/2vgjZzzBfB+roLLAXZBobsLecAQzwa+qQpNRnSkAxH+/bu3UHR2lvzX rea50lpzzG6cIT3oYDzM483XisZufnw31ksUSOpUPyyErC84K4xwpsSJ6XUfeO5VVcM6+kEJx1pA wL0L/QU6NQolvW0C3NYjtBijKha80WByxqujyC7AxbpE/tgscj/OnT+5+h14nb13pSPiZ0hSnCnQ NDXSxcAEwuxN0P6K7Blyl/ztBMrcrDeUlE7vHwf5mkYW5/Rmousunm5D0LPB+j1G8rEkZdSXQquF QexJOwO1B1x9HzYiFG8DqfLAIkqlLRqBIWCNIfVUBiPfQ7l4qM5W4yEaCx4Lh5+V6//ouuyL28I+ LbszQGhn/NiJHCeReoiAct7ELDjswbZWnYFRXx/Q/OwVCU5/DVIEMD2F/EX7d3QFKsX0pA+0eiX0 NXBwGF0dhgUYCr2Azu+SFWfFDYVB/aE2TC46EMqMN0izpv3bQ9kVSD+DYyp/Tm25HY6vtKo8YWv0 dZpG69ZqxnUKh8WxrSy8SXh7ycJt/Y4Xw6zpgPKWYyfam14sBm+H9F/kGHT4zajGzNbIibcGrr/E 65FnMmMeaP/zoQ/zgMBUQArIPr2YAjDAUCPidR8j1x+5wuYG2DD64cFlhwS4PklfgJGxjrPguxYr +1GF4K4QZIBXEq3Mw/ugKA9GbYRMmU72Tzgmxjjem2Xl+BundWC2ZOdSSfZbSacXw1L/kJGRH1jE rHFuAlrjZRrnOQMOQFDdYOqevQ+ihy03a7PkU8pSnZiU1QUZmOKCrDT36ItgUxQ2v5z9EqHP3mYV ExfRfukUdfLouefgYpYVzjRw0LS/MzeOGwyQBH4JByzM2wDZgb13HJHk1p0csbEP6evrBRrdZnQh FZhcGCre7xig1eX8NMT2MEA6JtXKZTYzQEgUWItYe1xwLcaDHAlLNEHUDPTTOSvJL6j2eHoTTF/n sqZ38Jb6lgQSC7cApihccm6TZL5cEoqwEU1DiVPznq2weukW9xy9FvZx2wqTq12y3wCsWWhMZ0Wq pt2MaHHnDlsBu0hSHPYorxrR/xUdSptjgjMfbOwrnt7B1ZresNfH9ljv9VbfKTTXegvuPzKs/ExU zKGHRE5KexRl7tdj70LSwiQFSjYhw+N9aWN3ReOApPfTSLPvQIQMHBAwxGIPjbmuLdPMiG49IEVy 9scaX770ZZal50JlOCcunqbApxvgfhvPlL7ZYJl1va5HUlQiZpc9GC01UPaW4M2iLoEDzHxQsNA/ nhF/fy+ietAt2O80H1Vgus0Abjf2qOF1Zu2QlLIy2m0ycCPXyVXsQ6SQT7MyG7ddplZjJLcYJykC fIljIUgWn8Fd+3R41C5z/jNFDHDrD02HXitQmYOf9QsNOS78Yeb0CLyZwrsRDMOoFr4p8YibPWKl /bag1iwOzTvhZKKsGPYWGhzs3b9wGrwra6xN1LFEdJS70PdeXSjvJvXc33b8EpJLb9XoP7O1xvks ZLD34J4zMG/ewTfqn63RP3BZ2ZrCO+JQK5MRz2uhpyASnC462u8YqJfIguT0yQnX20dnoYJfcbST C9p/rVv5VQ4y/G992wsMzbcWki4r7hqmX0yz4oy3wIpwrTCwBJu8ZVi9Kqa3RWehswK+VUeMN6LX 83WYuGIOYQAShLXegX0brySxaxzIp5ZE8OsyG8x2olyEu2XUweYND5z6Q9UpYuhU4CJkGSn7nUkU kn6e+xHu9aDqOPRjsqI96Os/Rc8K+kkwDW8Cj79eawPEEtN/Jaz0sFlhZYcyt2LQgRnVMPUPl/WW X6ZbdiXeWTFa1IHOP7tWED2age69dkK+owtDoQqo8mu/yuYFhD6eW+9StRpiAQT9VSqZ3KEdh37v /RwqISymuaJGAZVQsjhHsAYwOOZdLC/nufSdOCeNS74qxvYrpN5WvXaa19jTsKUL2YbEmWwKL2+2 pYUd51EGVgYUv1Pckj3hp6g2EE/KELyvhZDso5Uf1PH/dCUs+fSMDDeBBS33cHFT/aVjcGMyLnik TuJkHxYspKXps7WVULqCFEgIpNY6tTw1UqKNRr5mHfO/R3f7fD+J4OtacjkIfRxK7Dm4DGWTs4Kb /7pwKGQN7GIF2RLKBUjWm6GMvX6qgIktDqgfnnblyHJ4ib2lHq7ZEGR4feGfkYpA3X/eK5yAYPPY 7IslgyqhHwJG6I/EEErYIH9wDbmCMZ2zU1qEco6DSkPCSG+J9nJ3SgjNqdNeG4X7Uo+SzyFQpBaO eyeu4mwZkCT3zVwRZ7hpfYyAdaSNYeH8byYQpL9dqU+jSVQHkEsvcoukH+Qjfn+RAWHCE1cGnDdl MI5+k4xj9vYk26Rz3G35vADyMjhZBV0w1hKExVA956wJvlRRoK1csLIj2lbBeOLrpN5lG+qDlrb0 27IzJUuVHhaY6RmhEkNOvy+v+/eqxIkOd5i2cljYc4lRiuHsl4l9OXjVJOgjBKUKHjaVwoyBSLDk 3/a+yk58YLdurmXVqiTF8LAaAw3JuJI6GPiDf0ZVll4f01VJJTNiS+TpcEXRzdSzJWpc7yIfWk6Q 17ueMxhYg4g2ymTaVNlsQkv6QnDlfH0Jj5dFc/rEcPLeq8JrY61JRkRERZGzSwCk5hXGOnvzxz7o iA1ZL8xIAKRPjSqGKD2LrTgYBlTjLE0ANqNu6lUX0jzU6lSTzfYgw8gmpo2F8ibbdfqfVza254HB qQwWLfJYyvrJ2GEdzoaKBGVXEap14H6eL1N0mFxCsrzIPdhk1KOhb1H4xYdOCgxOEex4UoeLZC9k M/ShuiupleZPPC2UBVHAOlqEo5GGjvqv3tXmy+p8xcb6AyRGDjYZkYPFUUUw0tTWb6tWkaSf64+5 JeIS48+KF56BtGYo+4JV8EjD9I6qFwBtmxrUKu120tZzFZTSRy3W4fJldjmgcslStxQMlPRyneEO oJpWZyLxPq5+1eC7uOXdEGc1UCzh3BO2rrVHh/wGylXDpR9MMceUpoKOeEQJxojOuhLSaIRPwLlp hsB6G2fBscLtSPnYwyEf9uo2qmdx6DWhmN7T4F4LIDWAS/mGAe7qHIoJyp6H2r4AqCDl585W5U4m 796odTCgY+OnmSoxVuLIwWwM/SmMoN7gGcKqWuZiYtQuAo6f4WNz4jmrwxL+KQk4RF0LuH0llfbx lmx/JqQJzryOnHcS8wTkLNME0B/i3sIZMzva+a5N2Ms3v8sMJBMpY277zyYaYfPfkJtXUFbXSiFW PEX2jUkzFznnsj9MZKb9J79saDZN4DCsUtB6fyJSZvZnCjDsqUc9/DkiXY3jZw3m3p7I8IyFEkUg r4Hgubt4SwoIT3ecNcjU2u9MsY8rUYdwIwccQhiST2mu4fRR6kLMGEPn+6GmP08KzoSp62Cnj9To u6Nhc3A7bIPm+DcCmDWHTxPaOd9fxC3yFPsOISzAastS/z/9LKQdlQe7cCMs90atxzwHJ4yonAlF DSdxAw78lq/iEgzoW2lvwopZsKI4wk48b4NuIierggyDNRaVOeLopsqh+yTP7KFVwmakCy4a8RTS l0E6hTuAxBtkkgBo6d7joLwb5hDM7XB2+5UBCuh0VWjsV1JrMm2mpPMxle2HIhg6BAxhARNdnGhB 0rfkuImUu+DG+1r7uaN6Lj7DiDh2YWcz8VTinfSf61Pll5Yr04nRbWGxGJccMOTKW05ZulgbfJNC Ut5rwkQvj4i2D+hQ7gB7FpX7XuYhNz42t73WRX3NL33XZJLp6hac1IeD+QrfMe9pu2IjyWCLrg8O k38rEklzSsfFr8bhLQaIgtI+SxGj16AMFyoim+28HcX635kVF5AJd+UfOCJiG2066Rq822L87xP8 z2MnrHRbEfsYsvCm4xxbWzilgBskIPDIoWxbLwQUWhEqcz3fEPVlymHXpxleUcaQOVS2ODJZaxWR iJmpim6IdqKqJmt/FMGDnfoRh1UXduhZ/b+J7EtUnwyrc+9uR4pU5ca22j9GTJ8ERgf4v7fHaFiO e1UccZ1DTm4qoFu8+BpUpcn5DqL+fzzoUfvgg53kFTOzT0N9tWdVRHrCS56o8zta5iDzGKd3sKsm Ewr+QkJAAqnT0947Room/8PuqgunqPB++hitErx52n6q/u+x3hJQar7yvQcK7Or34BWBbRwRGrZl dKHegO6mfpAntNEELuMycbMilkhkCBp4MQlrjEqD/0iC5V0mlmQrh3S/DrTk2JdUbXHIO9k8QAzv xn34P/Msf78Vcxk5XgAz5Vqzvqla7aiDeBr4hUerjfU4sM622VjrLYs3oJtWsiEX1q3x2K8gnLet n05SLY+Fflieip53duZKcZi/qLKqdMN0UBH7RL6DGLRv49yu8UlSBp3qhGy4uHvK6mZWPPlLhh59 BpTtBojiEQffnFDTGwyouOI+E1VLNB3Jn51vcNyJCUCjlpiE1Qvbnhqag+HLSZKkKnmyydkjF7qa 2vt1e11ulVADhgEqqup2ss9nMbgpwPxbWcARIpXE6o3F4rPyswfftmyTH4iQNVCmlhMVmgKeQ+VC d422qJIn7cnFEmEXqvJEv4oeuhVtEv9SZMJId3hlDvzUKhEwx7t1PSk+c1FIPcBDdqZmN0YH0125 3TcRHpfJJgG0Flx9WgndvfKbbTn4tCyh2/raw1rLmbn4l4GIo0qTJ6ojR4qEIwaaAyrTMIk6Yvcj aC3ni4fa6eIIoLdCqVtx6+1D74O3zFT1AI2JMVPd/NaACyH9sACSPR/7r+v52MmFNsNQ7IsxeDHQ cpyv88C5JLed8r5Jq/Pj1hHDw0B0E2Z089imb9fJHtfQBMK7LxmF3Ys8q1Ir7R94KjHywop4yvyU hJQxrWcmfLmizZyVhOG4qS7n0KRBdHTRJFIqFmk24IPZGrMxQ/uYMAGJzppGcPJmJ+0EutaUN2Cz jJZs0+yY8ah/cFNWHp+HMbKdri85cyBEthKOWB2RMaF72wxJLBgml9k/bodNy5E/eA367F6DVX4K tWUPORA4/DjZV7/78z5SYeWpt70/REoOPUZPXvMpJO/a8DQkHmRzPDBaM/jRby1jbkebjLwWuDY2 v8Xj6AarFZ8ev+qvER+Z4ITbDlByY30TcGPNvkZdkCrab54yijQzHNwJ+6BGNSS2Jc8wNUoHng/C mS+S7Vi2zv5m86Ck1dMoA3yJApEkQQF13+7J4RMoIOr21uLekh5IiuUb2kBkH18Fiv3w2RoLzj4F ypBXjO0Myv/c0hm5LhCte9YIcuemkOYwSwoeLBcdR+v/o0VUxiIMJtFurOhcEhWUWd2A7C5/Xj/U 3Ozf554cTUINnTrPWp5z2cg19zYSJy1fuDbPRme6e/pmLnDYsUjhI6EyZr7Q4OOW8uBTs6mrGQn2 A+CNUfhwnWgzWEOnTlGieQ2VP1vXsSGjK7wTFC8CWERUxlOpd/OxdNEURSxqq14f4xOw7MVk00eq r/v7ywyRs71GSkj+wfBCKHgt9pBxMbZlKKFG3Ay5QYazKFxHdPDYg0ePhCAXofVINBjchNf7S5Z1 Bu9+uFIJZZ9gs2QpA/4QeZ+0/sR2/84e05R8lIwbK/UAGynHhorP2ovQyNvUPyezNOGAHFtMvOJm w83VBeuEZFHR6kQKh2iMK1gHBOnFI8y3uZiyULaozU7fRQoNp1TsLmj9Tl0jJV47A9SVoFgY2IJW GJAx7blh69156vVJA7Deb4kDW0LSHk1Dn24IJkAGHwFRq8NCc35qO2UkhZVQJSg71CdtV4LxFxws Kyh/rj7xcvi0VOT+AtWF5OG56RvENjqsyrWxgY43Lc1N34e31Ps3Ke1UmCrmd+C7GvqXADSjh6I8 2QxcrBdHUZqSm4w26XQJOeeSkWBUOp6U4jWGWN1wj6L7GlZ8+SNs4lc8ZroPxSkUKj8Pzfqrr5FR UMRAB4PGizm3CI0+L0IafNXmISsg0f+v8W5kXRexDLS7RpnsProIDUl9CehGSh5gJ8aI0SpGUuy6 koNsKks+vTNa33exjmUlaKXEJfTHMztRAat+mZMEaLkNJnYtuX8XUWSuEDH7BfOWNrvMcrAA7YpS m1Hd58nLlN1M007q9el1bDaMwZ6b38J8YPnlXo2kX87Ka6cNvcEci/3kCrUc7Boiyq3SLLIwUW0S JTWYzBQEPjx4rITnS1zOJBV2sULpJmOB51LPJSLYrD0VMvbB5qSQDX5xZuCZKOyJXOoHK4MKuFtf WfKNUnK/bmYs2/tWyt8E6bN5r/pl85zBfGdQ2Qb+HlU/J9AMRhWiOw8/vsRZkyYGmk99oW5N30vy h1o5Gmq7qEBqYWdSjBD3QJzqfLwmQyno5t9fsSuL1bDMH4JEM10wCW3xHaoUekyuNn7xXRcpDBOO nVxhzKNBnOmsAvDZLlN8iWjcKyDSqgcqHC/c1fHYfsQhLXQFtp66OtQbcfK9zLCl+gMBSV8BL5rM j+GXdZuRS/NVW7GRHG4d8G4jrMhNHXuMk8y7fezQ9CsvRGSmdBBIM/JNk1+EUIJQqGtOJQbG/PGy mfAOFDePlLVoZjJCl6AKmdRJHiNde8qcL7iPQqMmGYQU5JzVhb//bKuo7pa3zYofXOiJTwx+ltZZ eLUuffXlgK0fmltXQpNoRiIYuZ+MBpgnimRm6QiOusxOQdKjTDZowGeWfSW6QLDOiA6ye2sZvm2T O717WOPQAjz6ws92wjXyfD5t7kQfXPsyhs6gnNyiA/VeosKsH13boSDhHP2RqkhwMdEyRU1lZXEK TL1KmING/+EU4jEHXq6PuBuJRaS3/geWy0ieGlbSvSuuEHZaLfifPtmBe/fsZyaYMq7RENoRRsOl XJEAq9QJs4zJ4QiPbvptlXLeJGbMil5wdo2hsDg5BnB6Bg4KalzMQZH+dXt2ymSxg3DobCj7CoGl gBk2yVzyXk2Bzd8y5elYDCFkwJPKERhBOxHsnx7vR0K3UmHCj4DjmFOpTFSg250cmHMvHlh2fOs3 Nf/wdmpqwnLhUhrQkwUicgvloUJqaZqhrqcrXRq4YiuZ0Gpixix1+C/KixP8LnxVbB5urUbEDYTj Fv3fmfof2zQz+rPH+DkXFanzMayakLdv340F49383ngrRDiAPgHpLRDxM5O0mbWYcJAYzPeTD+UG T3TccrijrSRXFOUoagy6OsVp07WjKGUvufCd7vaLDVFPxwdxZ7u8EnSkqAfEO/IX+QCgvfP8lAIe 9kJ7yqxVw/HW7o+/TNCOZ4FyUvne7d58UScIl/q0xjwA5qBfzFzgm4MxarW6mm5VWke5KkdiSW/j TpbQJVS8fgW0eIpPKl+4pJYgnfIpnU/AbdjA0nkGuMw25UFUHpRc2yy4mYHvfc87NsqUJovrNAnn fBJeHjIAWQ91mSN2hNa+ytBAgRjIwWy+Uqf/Dq9T18Y9j6v/J2aSwPQwJnuCsope3O2azzraCf2Y syCEKC6QK+szdcGaKSRC4oHEBR767psrdgXha0U0ap5+kg0UnAK/i/fdjT3H84C7ZO8oclytBY0n vcXqRahramKuPVS+h/viHCcrK70Nq4NJEwoqXRm+/ZwzM0HPqYynzHwwDTY2TJoQjf8DWo0b+MUJ s1beDGawP4MH/4RYMIWty1M/lhbtyHzvmjYzWRxPEIxaZ20D64ksn36friHdhKzORFcBzV2+bDIv 6Cv+C16wn6loo68QYsk12ZrKTM8z/M/0CICpEDi5mI3iwbA+SxK6qv5zeu3patOdDjSviPB4yGHH QPYXpl0yc8sVEQUvY68xZRQ2J3IejXQF3B1zN6TZWymZXDFVeJSisdl7ViTk0yH3hS7OTrew05Bw 1uEBEsDM2np3MLa6X0PUrQOaO7qQAXGWV8Ld8j9oqgY1ayWMbTvE3g+5FhU6JifeKDnIAxVx3Iau SvHiZjhynaVRmspaeGndCn9I20Ibjb7AFW7tTyKPRTaQf4d2TPrEIAKlI1wpWVFRsqFPYr7W3pQq ewsqufO3dflBqBLvw3IN9welyrre/0eyKp/rHXVQ4Ihe0aY3WzzLKbhppegXKPyewLrPRWlKAwxl +fNQvt8xAC6/1AjlM3u/ddbGrZzc65NpPOD7rpUFyug6Jeh8N0+9dqsXS0W0JD1vTrr61pfEXM1P kSw5saYS84tMJUhmTo/GCecgzikRxbqXl4UROBoRWse8U3ROwRpkQn49/ZXF47mAZac4Qma24a4g 1X3XA5LAoBEeRsXyLfeoUExBG5ve0uHUvawWk+aRDG6WW5nCkXMrhr26jo2CKhUfGXFnqXDrkb8v 0ykJ9uP3Uz4SkA1nRkUFr73DadBbVu8qxzTjbN8SfgnIlwIImael/AeV86kTgiUtEIh8QM0ZuB/y ggii01AeIJC1ffUIb1pn8wsmow0GZbG5kqWfU6e845rE0N2UItfHLjyiaVj5zEvQwbDXDWj8mp8a RhpmqvstoWiR9jVphltNMiN0ltZIDHQeaQ0dbeUmxh45dA9h5Ht0Pc8EUDp6/NIyKcHVTVR3Fhgp TEPzaatmPC6M1zoVL2O6IiMOcdGbUeUCQROl3c3MQ5ZFP/5+QWdPRKn9xobLboo86tLctArQQZrb ImJluFN0ouUKJXf5hTWVbVEPDZhcCEHKrR84ZORA9hrQkN4FyvZ5CPpbEepqX7Y1X19kixK76BeZ 9/dMbnwfmvO6vDgh6qG60KWhYJyAVOcMtiS2oT8PlK9TBCVxB4/Ks9IxUhTHOc8y980KnSjSiHYe V4u9MhsRS8UAqs4jSrYIxEA8Uz+fR3HgykP8sQ+0b29ZDHXg7auUbfxJKD/F6zzrbd4U3EVgE5At 2QoiDdAORiMV9FAGanpQdaWPjl9Ipkf61GGuN5df0a4C6B+7lf3LBSIs3l85ulnDAsDbYRaQR55m WCbU4euSTq71+BFmHvmty/6kvfnA+FYkvawws9ZZyq4fQw/EsNp2/EoW3sIakVrR7iCj/qL7OU9l 86lR4W9+LZS8GmTkObEoGgyskuLE3lrJQEEjFnM4i8de3Y02axGzrpuCW8wc+J6s1yMasAgOjNLB KpClKj0xL0ywL+VBSTSLa2JQLgH0+0kIBRAfzemOYX38J1CwxUTCQF1rdz70MCCEfhh9w2shIRvg /cnb3hQ7XwRbNHTHI5OBEwp9tIMkvtqTHGKWurF3Lo+P2tuav4rObJnN3nSbcMyOWETCAA/lWBgb 8R10Z9Bso0erqUf9K1ELnX0kWupSAcvnNqyVZ4+C5R+qY14INGn1CM8AlLjQ8KgO06mABxr6eIH6 IwUk+wGq7NYOT9TryAum7LFzYEN8Ih024awvUUGPE+YNkYFAowwFlUYGaAtUjKTLReoCAx7iJz5z 7FMcQXM/4XwMt3VLqNADHv0XUuViXtwLfRnHft2sD2imf1rcsuQVrjOy+43OxzadOM9e+bOvymeb A0Fi4+V9JeiRX05HqTTlJjRcyDO+0sG4F1RTc/cpCy25HtrC602JE8xqgHYHgTeDQpwY8BKefyr7 36Y4fWDbDF/Ruoau2bGQFsjQIG4rCIpb2vVrqxxShPI6SFVcy9epATEO+QCK39MMskCXIs5B+jTC qV0OLiXCjaiTH9Eo8r3UuCUdn5qskOGA7jffYPe42j87EjkduIUTsj6z20Kt7VwRt1JRy4WuWtum ZN1tnR1qP0zOE9nEnMzCaPtYgVwahfZcSgveID+6It09hd4FSbJBGF9olMxepmkV7bo8mlYMcw0n LzvSW0FsLiJsyI4GwhqRxey1DpS37r4hXY65NlMzkLj0STsnETJIuYv3hT01F6naCtFJqO6wZn/9 4UH+apGT4SpDp/nq+wlyss65GCsh2U/OKnA/nu8S7Qn6ORzrC7XpC/qUWf5w2yb0LxG/pDAhifsm hmg/tEt9iCQo6QzCLA/OqakljSp7sbA8FzxXtkCahCcVeGqU+EpMC2oPbfDGOIOA863LpEBFeuuB r9JpK55dQY2n4kxN5ZzIdzctzDKgB1Rw9exDjq7DBsb7MfSNkpPl2bbZr2u+XlWUuI7pF2VmF6cV JOOS5dy9EsG/C9AsM9CdAOvjg1EmKp6jYDY90qJQlnOPTqbUjNKYb+DyK4/Nc27QgOTHylb6JSTl vof9VsQYkVklofGQREdJyp6Igg9HIkwOUDOZW7iCy3ZKmyLISTmAiLhzj8gteCOJ6BxNwwfu/E3D VgQPExnUWqVng8FhfEUbdmej2PcmoFyKqScLLv+yX0cmcf5eSNgWa8R9zGPi0Hj1q5i5vN6HcQs7 x4IClHec1Nh+/0PJY4m8+mfI+45n62zOkt4/smSZZXQ63Jj1XdV0nFl+Q1DwVYbQjIwX3LThOtMS ZEmz+L6/Ay7ls6J81gNnDBqi47b7bKCBEv5Z3fl5flALe9NUVuoSQBIJSTttEHXHeIhzXn+3Ba0a cE8CZw+/ByuW5ZI+SP88VPgBv3ckdwUOR+CTxzM9bFdUKk/u/GdWvaghnnmOaqX9ihsNDVizv8nL 2EqArQTRDROa2WzKQnRfL3OrfgI5jGzVTim4GRkV+j3+axVIsXezdstkeO67o1ekeXgELOB7X3kz w1L0BOtEgfvyYHMqY90GZMcgKNMzrsvH+zOD5FPBsdKYPvLf5S+U3ad26GbdqcbsR6MqawmijltA VOD6ARlsDerRSpyc6kKoBCBmIErw+swy+5VYJQP0iswEuqoBkhhYkinOTzCI0PsOMDCzkBPFyLmo oYhHpPfTg3g7R2XnfbBd0jvDpdVTi9Ut5oPaEte+SAMyjdyvSdIeepkdZKk7s6HGGKkSMa9vd8Y/ eDlQo1VBRyjElYUXTk4epOfdRIuR7hGVZA/duq9ZnefYoJ9gQHQhZ3P05l46Ma2DjB4dLEUpQgMT LopvJT3esqUVQ9w4aFp8tBhEFVXWGG04t1BUIJiFqOFxqeR8avkaSqozdXR38asmOgJWI359AuKb 5xNxBJS4CPhF/tYG0b7BgFKdtIBUW1oZJ7BtP8VQQdriK7k31lQwFcwN88NjWDQb9VmytF2P3uJb sHW8pJWLc/vuarZyJAVifn9V2iz/tcOsnWdrzihPiHm5mZMfTWFa5kiM8u5L/z3Hi0cFsMWwA29I ZCzbaIYKpAjjnfdhECdkCwTsOVj8wEHptmp10xBmAX2e6PU29LkhaLa6Z9133X7hEk/zIIb5348S 6micVj/z0qHIgKz73xgET2R926BGRR2SjTJlmFCHRs6t3kj5OClTOcPKk6raI0tYh6bdAT3H809d VmIu5k/w9/wkmkUD6HsDhnkhmgbyMFxTAgqsrlLoavXec6hh8H2VIgnFmIco4rKYlL/aDXKxOQM9 7RWSfgV7HcGgXYXGHDGmbR35Q0VTTcZs2JPyV/hPoFVLv9d8OoDhkf4zQ3ARfV8kJIc6n92YybUI aYV9VcwITetfTs7pVFnrPXfQttcDvMYXW1ocTzG6iuwp49YboY1ckmpJZMIil9zFBd3t/AFDirw5 vw7h4MFZSXf09TZA/UkNGQN+kVjUFkC03EAbVvNGzlptglZSjleS8SmjBCiUP+7zL2MhcI/Amr6R quU+nf7Nil1FIhHPjKXUxgMP6gLGrvizJfHq/zjzag19tYCfANtMLsxdcuoSZ4oIgJHJv0oX46ba M1KGUy9iDgcJfWyTx3A9K8oP1FMbtIHbjPHdFt6LM4y7QZvIYOKpMPPSWrJKLOzDWk3qd+5b1wvP fbUyPzMew2JgjywNkf0YZPME8t1MHHBbt33GrO+pBVFBUh5LNuoCGSxUGYfJzErmrxmhGkf1/cBO 62n8+hmDHYgBlC8fJ7o/kQurAw8QH+sKHoObZvdC6aR4TxxaeG80aXcft2B5fFFkF3LZq68ffxwA PQuKm8JJpGPquD3MPnR38uqD1OSba9O9cJJfa83KSjfP5wt7zkCARw2A0jiDLmR2xkFLP8nPQhzw Pd2XBrGVXAS6PDcSfnRv/5aEgRyECE6+/qsXuH/BbzrhS/QaeTgpT5cODpnzjd8Eza4aKpMHEmP8 rShLLK41jVpXzOwIKVlAST/BxKwIqT6Ww0Sw9sci0e07ntJ2aZKFCNKhHmkM9uwefaEGei28NG3w C745GgWHqwtBOQwA4vPBisQwa3ybCGKHKoKM+LM8KXtB79aycyHJhwf9vg8pU7peU0ryq2GUlzI/ JsRY403duq83uLM51Kyus7o7pSqFFts5bLPoUwza5dknDh9xtpYQ2tIunZV8801bzLgVl9m4MpeX Gd60m5AX89wePqrZLd2kfw54ngOPowP5pgyrdEmmL/I7kR+J8W3rQ2tJdfqt+Tu62MeKHhLlyAQC D0eR6HOpWYuB2LgldiNT+v+OK6bvdLrg6JorJ3zEOmUutqkLtRvTK4kOFJ6QNY4vMolWCp62fvry BT6dXFvFitOg186ou8WZXU/cCJx2Y5kzYaoFLknvxeuKA/kJptJpzvJNH2Ck0eOZuCyOSkn/dS5N A2UcMH4nYJtGqBjuQ6OIo4PIfCBGRCZFalq2iaJcchorJa1UrCywb8LmVT8rrfXYAooW5g9MZpXs rj/YSXbowuxuQhtqN+CjfetRB1P51gjV9Dqs5UQajD8NHj3V+2LHf79b/wr0fJX1AtvkAjRPInMy jJgexjPUeCFB2oAOTD2PAyzAa+XxYDb6EfZ7QFVCPSUVksPruPd2a8Eg3jeHQI/UlXpaRgqfNsBS uJc1BAp16txT0KWQ/tJSAhgGYQoaaR2TH6iIUbaWzIsFx+WFroYrELrnM3ahIxghk/vn0MdC6PFT zXiptWnZXqUhVdGvPWuv4OCyvZGPXGhutlOZk9iAJOW4vi5G78oBgQnNEvjHBe9n6Bu0pU8QS1W4 H7icC93/hOfJMI+qDsljt7Re9huOjwN1IV70TrrYt0Ek4PxLxWRzBZzY9kgkka061hSeOUenZzLh meUfbUbqSCTCsY8u4UE4jfuGQnhZuigkImileiPkoijB15lq8Un03NEkb5j/yBuvQC7m2i6zZhi2 CYbhZdGFqZ+OnVmgeRVgyR17GaaK5UXBpQhWy/XnPmi7acbwrr/NrlLOW2/KLWpP7M+OkJWKpAoR Z3qMII688BsQmnORp/skBRuczLpOUKw6fGyeBedvRQZEXDKkx+nva5Qni6DdwWWAXRd9ry6wfd+d ri3Pt5T1SGHfQVHWwaDgpMETfcvtEvTiNcTOpJmODlWG2VNzVYtmfKkje1zkfPNdMUvHnRt9kyx5 wikIOniUhxGzJto5rBrn9cQlQnogxYPfVzm3+Da8FY1DGw96XNf9nwMClmPdjUd5n2f88u8+qckk VNVwV+s3GBv7M/etz0ZyWAhEysoePoUztxtAppzqwUVIYfHx5OfsfqUYbiAxDIkbpW8tXiG0mEJI TNdqo2fQc8MQexMTX2pMhRnvGYzDVxgJbtb841VaHf4xms5TeCoM4M79OJGeu8vJHMyzcEi2h0ZZ YVWnmvWjcOfjB4LarXzmUiMzEhpzXFSmRXwzkW8aDzyrZ7LSDGQZcYw0tiOJazOW7yOoHT9BctoM r7XmzUHyfkvzgbc2KGzkKDKUwrxtApaUYfAcc9iUDyvyuYL3cLOLOw+M7D8MPVn9UoxHSGgV2YIs 6YJkmZOBEYr2pGVoJvm3oSFPs4PbzIzHYE+z78ONnGWPzWWMPqUP1WZ2Xlk07yCa/VVAAlHC8hVH ShLuZUY5rQxU25tsDMjZiZIMKQPHPTbFhMD7RmWW2g7eP7yYTRERUf6VD/LTBpd338DM7IIRIHil iUwy8uURvN1w39StBqHLVDPvaub0pxJq3epBQiFu0lqdTaE3Vu6LxtOQLYux7O5oYOfvR6pIG1wA d2kKuyvel2tyTH0H63Je9zKyI1+hiYNN5/3oNaQntQWA9afBaY2cN0gZM81BI03GSflDHuZtggqN cti8eFfaqzZ6Sxhau/vR3HlzM7lk8sU+WxUqv4SCIZysuv9IqXAxQiO9vuv/NYjqs7V3/Jf5HG5j 2vZelrZcwMPJ4/icPMfAkmM7KCsqQuhpJN6o7dHvl47rsLmZXW0ikifxYGArSqF7VkCQ6Mc+EVeg y9HQgfRftaz8tX6FTr6zSt9lRBRp9ZcGzNO6yegxxM6kH/cB1glq/vaUyMQELh+56NdWxUdL7bN4 VbOcXnvo8L5CA1b/hS7zDjepSjIk395ZJi16diaeMhksYVkI0CqRkJq318iyIFqdDnHz0CMnJ1Hf riBIh/ew2QBEXGePfTWQ7YwCFKdhfCIHu4pkptyQQrS7BzcYg+lb+TpnvPK5F0Nt6iskA7xhpcZr 724rDueyM+tuf1y0WaXEUjQqwWF9IYos6OR+xsz7YDfUpcWnfdxbY1UOdr4NOCZoQ0MwDeDGHoCF wZU4rcdvTc9XnTJdpYcaoH0pM6/CTHOFiJq7blreN83W18j6Bl0GSO8BL47cP7U7kbm1QozRAcZX 8ddt6uhffyEqNdqjOf5BOTTDgxqUmvpvx5wVjiyRt9lXx5cjv9/sTPjbPT4gM8ddP7S0wWYp0KxQ VFxe0ME7dlSzU+sFyEf6kprgA8uHb1freaDP4YEwNQEVj3Dxj5pfdhTdvlBDPoQlAQZ3DkdUD+OU HM7A5M9QpVAbc010/G9sWBvrg8HlXaYpUYroHOR67Ul8aqUM2QsYWr+I9HYjBLenA6EWXinqxtaG 6CeM89PiPGSCrHYT+e7q9NGVctX9Wff0TZYRO80VWvJl/SOs4ullOCvlNLbthfwNaxnTZCU8niq0 FLUiL8GwNOwQrDsd+11iP+EhF0o6AOCmfFkyREcjiE/5gT6WyS2JDw54WfKKYXDW8NCLiGi3R+GN LFpA29xuOojtqcFXEnnmZTovnX7XT6tYHHUOZ5Vypv2ljPtEetT+eH1Oqhi/JHMl+2HNhuUKBh6K KLKDVOCEyne5KYmus9G8PMzy7rqp4qvWSQIDdtrsX42K/9vE2pHIUzJMeFXgeR3/bxvPkUc70OqP wBztSVpr5d3FViQi6LXI3VGkE7BVDljhe6W19496ehjVyycaqomWefI/fKOH1CnQs19mFsQdh01N +/RCytL5SBhiwTMy4F0L9+BBJmM1aqmO3wmJ3QjWcuq2pkWhHQ1HIPAxN5o/GqxZ+YzXO5y6yXFV cStkIM8Sym9/A5U0OO0BoqiBTUFM+QiZQcTvLCpby84A72aM0hKYerM0VNHxCHpVj3Hge3uYX+oI T81ZmojmoIAP4RPtwRiBw5TT959vtJtBfNFyfIgCftC+s8j/3AbgEetHInagdkYlGWC3+a1uvVFg iDwzMvsGdGrMUUU+oNmp2Q2zuhi14XNr+62AJhBKG7F16fPj6AGSaDhW3dm5xpnXZD+u4JtDPZEI w8l9oLQCQnQi2z+gZq+hpZ6Np88ieg7IrRVtpJEN/F1iA3IT3MO52qM/TjvevrTbMb56jbAymeSP YWigGPxbjLtV6cQ30oFyIRsHuH8K2Q2dubquk9VatCC7JCq37SxPcwkKNLz1Z1AfmMwBByfnxkTP VMf3Kalbhg82amHGE7FeHExt+41xWw+gar944fIKdhOTTbpuBOROJiua2BHiolZ6uDrl1hrtlh3X hJd4IhGJ3sR1+LZvcFC7nkPEoPS43aq/QvAbA6VkYpearrU8+5Y4Q78PFlECXVJBV69eYMrFT/cS Oka+ChSIGsyRY8NXWwTJCpGPpQV4M/YeSCAcDWfFSAAmgB1NzoKYuHjZyBH3T5CjYIkbb0fOpdUx zamVyolI9SZ+qxaSYGGnZ9nCS1QfH/8cZjRb8+un56RoGSt4kDlyzAHNtpMg6f5LHer4doS0g5WR HXr0hQtaGDuaxZ/9B5DBpvp5qLr4rT2mTj4eoyy7sDrNTrroCttHKV8L7QgqbFHD55tmRd32kdS6 vU7XpJDfd07P71rpLAORyG7mR0c783tk4OuIKzjJ+TFVYjJk3QLcwqBaazMPgi01Xph6N3YNJwJ/ 6gSjifww/p4VVVyn3xkkDBnKF3s/EWi9R04Aqu/ovOZKJARAKsrp4MqxqBD0XAe+MBA9SoQQ9Vdy NLHYX7fg+EDNRDPczE2EL/HHAa4+AIfNsX1VMjuK+w5TOLa+56/FhZmchWTzxlnjkbZmMZIuv0yM A2NtKJGeEVKZvBwHe51A1MsHKxSVEltvdcPctg02ashVenU2XP/D/Aq4xvNVgwSZM4c17Db1EtvY +XXSp7U7zimS8HJ6i8DvwgzCx6UE2aSOamLhZB40iuxiM4Ubupp1SMKFtvOV8jYsu5kqOeekvdDu aWsLw1dqpx/n8QC8P9dekj0w0JALW33lfvf5gdFVmI3BNyOS2A6iuwluYfUZ6TPq4xJcJjHVgd3r yYxeWxcgqvY9dYFT46pIyaFBps0/xgcxyBZbl6mWPxxQwvCu4Dmb2a2RmhdXIGyceQ3AygrImcYi 9mWX88d8bbQlxgTkLGOa8MhshhEF5QE7u5t8shbdeuq+26u5HiZCApH5dDosoxjkPN/TIqTmntLQ U0w/fCwN7b0EcTar2N6a8L5GeQapJYJ3qdU7EM26b97Aj/Khls7TMIOgVbJxvym5z+WWvdzkgTu/ Ob+RLJd44szZ3qpAx56BWaxfNXycbnoWvmVF4NU7rwGnmf/p0MHDlm+qOqXzNLgJGfCk2lPE01yV eC6yz0PMzCQzZ+fB8DvCc3accr/mhBqu1QDoI3NtewmOhvo0wXT0MdrcQYCBRi5uFg2fz28svZGu me+fWT8KEhLNnzIgIizcnYsUlLGjCbsxxQwLRZLs2nKJdoMXmi4On2PEpX3i/ixvehDFDfc4Js51 RfPnQcUGNnT2bZmBCvLJ/Xq0ZDvOvhegiIhqlf+sz87EnNJ1b4WeF611VnNlbCljn4tANvJVmgER bvXGwjcIyuBaw3ejE7hiCSPehkRH3JT3ci9BgEPE1y24cNAF749ohK5cmBawFReJQG28LIE2qTI0 Swv1dhdm9GajQVfa+Kq5iqG106nzY314384wJ8t1QUnrTVARWvQ+zwQ3jv7exrQogARU/BF7uTLD Twhfm3s9rrCxqqptfnilIqGAib9uML7btWwsTClIU261bJvpRYxva5LkzV2YrTOZfZFu/ZwcPfpZ tOfvmSxE9aQFtzDjkDRqE3wwCEQ+dTyG3cC3N8E3hYf5FNILjN6auvKYVu8kQ8AHpwbj9bvcVMeN Y4R0J/07+7bBKXWv8ExFdmDUWtwAE8JncKiJYPnCLtpKs2YSC48B5tbBvcBgvhIJjPc+F+DFNj4T JS7oj1sdfpBUvP+t7S0iM8pcpKcAYi9aYwQ7hXak9jfmE3UbAb8ZBUhbjBSRItjF+rI5SBbmKSbw a6ALWffFC79r33XmDHVQ/v5Vek5bWfqlHJagptVDKDqb4/9DJhpAe5Po2pM50HyoGTfuH/eUBfSD o9CtgRMqXCpHbd1gaWcxxKNdw4ZmXcIBxYSL8/UUdC/bxN9xfAd5oRmTs95W9533CthyZh2YaYqF i/AErsHxDG0nUGIZ8OUAsiUIPojcVzCzSHor6ef8SHfbO3Dfncs3XbGLnxQAVCuQJH7UeAIId7UN TPWHMS/fh0WA2JY/5ZPoybx3wMvZbrsIRb0rVYHigTQ121YXb5cthqNInfJDHUc8Gu4TyTrKq/oC YzF4WcDpe6zy4/NtSTBW4VMVN1veujuFIv1ixYa2FBrCIhzwC83klsAl720pCJ1v5GjVdi0pvcx5 eVjcTUOR63vcVKK+CBGwWtsSyqd8YZsz/KM16G1FvbkL+LGUGFSACmnrIPF65YISrXtlm9ZfHDPk mdHxAES4DDIawx/KuQ798lPDBLGivFubeaed2+8lEnwq4woK6atuAk2qqFJ//caGoFVHmmsK4ggg hbR7PBl/RFc4OP4exP18/i1e4QKDy55GwDpU2TNhQ6aFUTX2MIsYDVwTrCCOKe2U1pxZNnHpYEcL lnC3QNMenzW6GlInMfHQx0SevLKvK7UwoyHOn2AVwb3RxrtonciXyNetrl7XhPh4RDI6i8qPx4S1 W+kRFOKPv3Wo7FLnf1F6MSc7fyyNAfL8qhBNPCamb0kr7muL8k5yAtvVngg6svrJSZ8HiTfntFzw sqBeVfvCwo+TjmC8GKcvj3IUOBfAntZ3hNoqg1ag8rhtfTjmcs67c3VBbX5F/tEoXTCA0mAi38Xu EEFDagcAQRnuWu7I4e5l8E7TwjC8j6iExqJBd9vHxdYRwwO2wLOc9A1XHgaE6n2HAUUVdwNFwDwU UXCCSMlQSG501GVtlxfFKU/K7JIuydFKH/UDi9BrJvmQhuAsdZ88t1UZexeWzfWzmCZbf46onXAb cjCSW/v8hH8vHnZkKEWDCTY5Zoi2dChyudTZptnZHfUObczPscW0ZQvuPQigG83KK4Z87UA5kKHY fAh8+JVBdkJa+a0MaGZvGaSydZGfuRZ4e8Zi4y3cTEjvC3EB5wAs4EdSY5cxYGEL1MD8lKC3qfPH ENEvm7SyZuvzuneICE7YECZ4YHdvfIRQWouuGJbWErcKkPo6QLngFyerF83z4vqDhjDi3HGt71ie 12oXvMPlzz0jh4z1QW3KBwQ37iPi+sOgsBXHgrBIE6c5FZij/adIxmmPFsdZC7ZZOhmzmyOf0brC 7qtE8gEeydfjmiv0/Clp/E8jMXXJCUWI/4cOY3i8JoT9V6QbTfHWXj/eKILdZGat6c+PvpM1PepY iR5QKplpnqgfDJFyR29oiTwYpvuH+K15/DF7SiomzA2Ln0ZPexPhj4EqcfHK1OkMTf2XXeSqJF12 AuRwFX2Ke2AfO1M2P0JDY0gVB2m67h2h5sUKbrA8lQ7OSL/GYWQDCTGo+PDl4OxFgcWJZuI5Cyq4 nZuk/RASuqKL4EfYhb79cJSIVvnnXiAbyRwtPSbdDX7XkywrvWxwjhFy9/0FsAHfd8oGt8mXcmn0 PHXYfjcnpXC8Plo09XmJEWP7iLLCk/Rr/E/S3B1xLTpRsHPfZXe+R9ZeBBI30uZASowbvgJ1FfpG wLoW6h3R5s53Je86/+o0Xh20pN4rDHT40n0/d7FY1ZAuR0dmSSVlGX+OG8TxqOT+NsNj1npf/rJy Cfncz/uA/Lv048IuKECwZWOSwDwyK+HWA3iJQjDrQ19fCDFso/K/zBdBSWUaqpH9Qpk2lPUwyFlU YXjmsooIYLGckIJR0UE53bfIUqx+NFo8q2fYgkuDXZUIMCjfu4jRNMl6O3abAPABGh45lw94paVI NLJZ4zQYYAvj3gEB9ILZbeOTRGY/GHCx//OhFAwuydvou6Zgc7qDbeapGSpZwpQHFGxRrDZRqKyp TL0O0Pghg/mPVwfNT/dSuT6VHeHxzF0wcfNIvIl0qt6aaQPZIysjYd53cmQR9FeODI7Fjfvkr1Rd V0a2Th0hoI9Ya2Zd2nD9TiQtDQ4UGwXp2r0+mrhpbzW0p6a0+uBP2XXcQOE+X6qaWPwml25N6Maw Bs7APX5z/H/nv0FDuUK8xNYZcAy4cZTLypEEReyaLhl5jx62OQWg/No1GCJtYaX2V0D2c5YVGlA/ 6UVMhZapqWhOA/ByST9q0FxTIVDUPzupcFw5hppqzCbI6Jop2oPyvV++FVcb7cQuMOioGitIwbn5 eZztrmRm7756YFUE/ddopbhjcJz8X+73NzywxMMinP5S0f2B4kKZlFUqRejyom02pSenwU/d6VVn LLjzIpOTWewHetQMPgY9L2pdrVrc9hSOX1BQh/G5OdrKT1TTaKpVrWXOTa9HhKAYpAghEKMHI+/i DcDCVjCqtPXdEebMKlNKGdgh7fNLrTcYYx1el3vs+Bi0O8kb1YezAAvWmNYXOCUW1JmhH2/zdtcn FMFctcOYMHbPmb+xaGEKKgrryo45BeTPqlRlV3JqUPh3gebbyeRZlWBUb3rXQOfXPhN4sPTkfDki a0ZlpDZNGgctQpHjwISQtP5pTtvmI6/H7+lNfVWAvchQuej72irZLaYu7C1XKZn8QKuff/lzuiIT o8tIUntppRyk0ZisILjwK5Opgo+bCOv6MLN3iMvHUZ5WdkP4aAI7WsIMqPajKOF7U+boe48vODaj pY6FIzQ8DREqQOUvD2erRhuTB8LAz2LI7YUAnZsL3R23/rYWej3lnkrFkzLcBJaRVmWwIhHrJa5S BjcyDxvDrNoN1RZbUbVKD0WNmiJGijIWrZFUySMiaNIBjgUWAxeT3O/Di22HUI/T7DF6YtacYvG5 E9jjiuK3pATpNpFszx+Jwe02s8ZrE2cS4QTAgzWqHtH+wuJOwm6lGIyp1dx3BDS3/5ML4S3NUW4o ypdInoiFNZjqhityc4gAU3mt/WNfA44Z1l6cZfE6ck34gWe2ZhdwpOcFySEys8eOfMHKVWv0Tvlv iCxk3m6IksapNWcjLw5Wy2F78+QlQatmgGv5WmsT4HpNsINjSdf9eaK3bTJr4oHzBftgYEJDN4GU kAQSsUKPvaYXXKFmiRjL7x0DZkMoDa6nb0T9I3VCd6OKdVaEg4G26iDSGPcTl8ApTLuJQ5X4IYgG NJhX+ZUPmOIwM9fhzNxQRocvP/uYNqKGJo8bYMOonuAx7dNelUq8JnCL8rR0k7bOYtP4qJ1U8XcY NZe0wozSPb4N+uIny/Rr6AQTfzChOgVrrrGHF62HLSZPYqiOp8J3yhLCi8vES2CXm34cI3zXRRuf ISUcXoRUCI5BsvhT4+iyvC3x9mUyGSbZebq/szuKIpJGMv8KyXPWEw+mErRN1VUcZUDwz/Vob/VI D3IHJTDsJ5xnJ9UMJhxamH1qb9ZRW6F/nJckDCpLj+vTIMohkkKpdZPVa7H2d2bH4sxQbY6ub79D kyHyKVewn5IRpnY/b1Wo5cic3Bd+20QZwZFdw0Umks/gxEX3HgfM1xSAxw8u+3y3PW8jIuytnINg xpKGvyCugADPz3fPZ+4Ctwaj47sA1vlmdIsk4tcVhukRO9CzFr18crKxEBLKtIRMOXzJhIMvBerA 5HDtQpRAqlS0A3NhOb//wYmj36LvFbiM+NCcGO5v78aZ+0yOL3/DMbOZa5i4U9OKvjMIIVx1ch4r oKur9+HAKralh/0RbfI5mBHIIoO/VLYt0OKoYOoAo8Eazjro1lDTcPXFar7mWLMjAHbieLmGYNqk aCX3o/tvA6g1tS+mm24Yx3TuTQ8a4lEIkTHMNjeEyonwbbJ88gZpfh60UcBSdFVMlMd2Pojo9tN2 aUGWKcQ9wk9kQXa+E9++xq02cZfVjvin3MZ9Lnjv54+jcMFCpt0yqQVgXDuQr9JlhZN7VSeLc/wN c9rPC0bvzG7lUAAaKolsnYg5oGTPv1ob8jYZrIU0w3c14L+ef2lmF+EL7NZdV7woi90Yc6BadnqC t5dSe9yq4jYKlKDaC9mI1WI5wEeDExRCBPyTOZJ608Jq9HKRaEfHVdgdklFFSjEhj4dBGF/9TU7q m/NN+ZV+k2MPCman/OX588Tic62sKtGzLBZ7cLzt1Wkrni+5ZidoyxLpKbReftrdq+ME2APg8Iw3 zleDU834O+3qDxPwxyrec6YaQmZCwQZTUdFsx5IwoASxrvJKuIJPpPOm7GimyGbw1zkOjiVZ4F5K TYRfVnm2TGZj6q6Y2ndR4klGP32w2bziP2vsPcAIB0+40v95m/bbfWrzyLKq1uKN+2jThfJdyVIc aNrWI/Wy/tdJvqID9WbyscGGFIaUYfO5FWU18cJXzy+LoT3M5xTf+YBb2ZmBcOR5ySisgMnUt6e0 PpI5KbhfMmdJjQqecNtMkGyZIHUcWgnCy8G/L82TZjt8J+DL+Z1R0m+oJZDwMsvaycx8xcyE03hO FyajWxpXmeuf/UaZW5gJCZ5C1Lu9nNz4pxY6d3J9Qb509ZATyjeIAdpqPLSYCHQvQMi7pCgyrpnF 2LabmOnvaHbFstID4iticKlkA2Ucow89/HxLaRuWC+l/+tq39kpNtjuRYbuyR7/XvGtEgHiZJFwT QAYyLCGHt6n9wgx3Rpl9mB/rzyW2YwgwAtJxAnQdBbnyRHn01EUp7LSfO6p+0t+oNJ+YIx5mz/pH CYrfRt92JirgF4MHJu2PwAy94CFv36qYWi9pYpEklivkGYNJZh914sbnNgov3y5IIvgPIqMVr+0J lWfrCVktuH951eiVqaqj/DQrQg2gXafX57rcRHU8Y4bDolmtr2DucIG+MD5tOqhG79HE2UqZSz7R dnLyRiyI7OjMARgMJsZlj07SzhY+Ny5k8CeTwLhkbc4d4X+n0f96/eGWJ3Ydjh+/9Yby1asZJlI1 8IQSAHkmR3Th5XGYj1aiEtF5T4knH2bCEbkUipujR3gmSJ75RT5RR++eZ1NRIeJPqDv7eusDoZsj 9E4ETGxMQqzi3OASM5bXfm4OmKyx7fTHFRIJ1XGpRkBxS+/+XEkiTUhtFqy7I4HF75B0WBnjRlrz o1QNa8543yxsJ6gzz2KTMHimg6V0EyiM6Jt2qsF/xmh0UVaW0CHEV6euI9zkJIFDZISAcnOQvG2g bzRLzktKI6fCml/tBUB1BufWH6WlWXm0XmwOZ3byJGMQyuAnkPJ8adkHIcKlbjWgCDEVfi+0livN Y7SRwyWoHpxqZ9d7TLwR40uv3q2JxTBrI8r/6RTVR+P6wtB59wyiJ0W4iPGrG/m0wHcLuWdypC3h +IAnrl8UwC+A/KxKrkOpkHHFRmWsvVKuv57IMuk79be6FQomp5k1iZoNXGtzQWIAX/7kGpziPylH 2qV9u7QfPPma1GThW7tMiilXhcZOGJNho+qiUsS74kuvtC2v1lYLbDCF12gUK9QvGWpt5WqWWQo3 Qz6yXPcnKxx3JMxmQuXdNOfMWrE2mwSgGmkolAFUDP33ZGkIwBYcmQpe9ssLZIQeGryy0SUGT+q7 XwAXoD+4QPulQEE3tsZ8ext3QDD+1pmUpZFPvdLm3fB0iZvh7eoAzX2mXma0q6pAvlY3+WYIou/8 sOBHnqgwBxtKc8F7ms4feBwRKhkRrdWpNRUyTVerjB6eN389YcidzjtEkYcPe/yHjwCnoOP9djKC 0Xt1JOZUspF1pnKF8Co9YLf+CILjr4Ol9NOD+5ObbCHpDnWkOtbsfG6NSlFxaVf/u0APLTi3ljmQ bC/n+tYYeMrx+gERJ3Qgv2OuULJwqdowHF668IOX3o0MQOLovqk8gMXEqvpr96hVQybaygXl5JJf XKbtVArnO3mvT6jYOrVVtbNX5dKPnwe5lQIHhpULH64iU0gGCEQUcNGXLyomTsBx3rVtB+FkRWx9 HE5rFyy6LnUtevqSIiO3HMKkRSvVsDurvx7azJ7RJHI+xB5GCQgpMISyUhcIBptb7e/rklmnqNmi 5VI6NHzvetouNZcH3YV3AvAgbuS7PLbDiLco5+9fZB82NWMCUZD9J44zUoFMm8ianOsuDMLxXMON w8Kk0JY8l/WYTLD3FHreWYfA6hwCZqXHkySqmMa+KyQnj0I6nrhgFIlpIJo4UMEqIbFiw0w8zrlA oNsJ9YmDSCIxJ8EgXSYWz0aYJe5BKB7i3TjVjh8YD0gpSiQZ1EU7SUglpNDvOndRs9u4aFLNFfoE 21AEb2CqrP4Sj0ZlepAnZfVrcznyqIHYJw+6iq8dzuZUnu6PFxV875vMLkc+fJYV+aHW2VjjGlKI iOWzzDqI4f2ptuhq1xLDmGMOrUFXoaSgOGoCRh9U2ednxF8LTqrrueAcvZ3a9riJetAdFRONyHz0 x8aaSP9cWYED/SQqzEDntUmpfkdMED6Tr6nj4t3ynvE3y06T5G8aeRuU+DAp1W9lLgdFeNxZGQS5 zbUgkO2g/1WyZMuVL/rfjLXmY6pxBX9ymUTDdRZ7bx6Sxfl2S1NwuRSepX6+8pIfxQOVgrULx/3b Pidv60dHrUKp35MVsFm5rvxqnGj34Qop1dIXulf0TPNIhhGI4VRwM9s4PK4t+F5e4ntWjHvFLLE2 tUdTnq0artzrqSWOTlt41LXn9U78eXdr1HnmGooEsFORxiYmvBvRLeynSr+/As45Qnj5rp5cWuCr pVX/+s1Ema6BVuXq1xvZYROlQSu/1ZP/xX6QazPdG28jE+SSWzYZZ+vYMp8mLZXg6ovttbEkwSgL Y9W+RY0hwy9fvZrxyMD3AAft69hphqGXRs/rrPCJ57Dbq5YQ97sCHQPkPLS70nRx/DFDTrbQeHq4 z3+LBl6XRXm0vp6ctxG+AhRLKZySTS1b1r1EMkZwxiviwcReQRsUqmiZtyo+CTe3KEMKIEebV0xY WKyo8USb3D+zBQl7dM4cSt4txdR3S4oFao3AKr22va9a1aduDyP+f89xDeElFV5SQzTwQoiUMsiE E1Vqc6BFo9mSXawcD2Xj86D/KIEP3YAQ7tUp1fVUko/s29djb74zVItZo8QJX26HtLqEtdFxMBHQ YfesBosZ1jo4/ztZ6eE4tLDYgGwC/m9P+mISLZLqf9IPlZDdKiQPENFZv7cDGehfwKei7drEXvt8 Gq9A5/fsTvRhuvFyWxGhH7fjIBmLqtxhsLfsVizwDEjfwRtwaB2QbUevtfw7NRBDuiQlBvglvE73 U3qdxP2aT4ohXgjmmdU3P+q2Dgq5EFEvgRWKCvMUYYKbcuUstAT40xSzTjQWC3OpbO6PHlIWhqVk JTdRJqsugXWzgO3J2tdyBYc8Q5niJw7FZF57T6NXlW3GiPU5VpB+ShBzaL+hc+4SIzaX9kTPaGlf gf4ynPQrA0Id0+4eGrlLIOm5Efmzn606ps1b9dI4rCsJ4WxJyYlQ6WCnFYKp4oXo27PNF2itJtlP oiq/4ne8siMq0Wf2Li3+S5UQGz+BQllxuSMzAJtSlRC9LIPG6lK5i5Akapm+qQ3SGOQZU0gFIMz+ wX6pHH6Y1EihcUIkJd7H5l4KKlyaNPWC4p3FZkHKerpOFqD+Z001gzsvf5SeiRuwklG0rhYvMNZA tHp9+jlU8DjKdPSYBJ0cSyazsdll9mxAxs62ioNCljtlZv8dGA1zOdrH0uPtRS4/0Iop8MWStj3a kTC7WrZ/Q7g4N0nGNujwvF0Qvaso4b8jIAol7g/zGzYV6mc30hJggbB6M8xx8kQ7TdEd5yI0iPfo Ln9RLhozsa5JUhK8epbkiRvpXXzXTlyZlcLAldzhGGDDsyMyqNufpgBl0hfpw/OYDjN+FOArHsp2 ZwPh+fcBtVdUvhmPT9KhGHlyr/4PRq7B4BZyaExPDD0tEbeM0K0G4CHSRZm7w3dSdKo1pMnn5uCu TKWahx0WsqlZK3oA6sCNti9use6pWcEAZpnWmSnT2PSxmupvggB8oLvJk12DCwxYdNzRuC1J4tnN DLOF6aPHtyHFKCA4KcY1o4HRafkPHnuyPnHASr4SYIjHl+UddtrlI0EWuWmdUswFeKpDc1BBlq6W /j0BbZAqzDt7aj+TZCKzzjfo9ZpAyGQatH/vKk+fJO+sgjSNU6xW202QUz+cIPEOm6zoYSibTiFe px3+02d+2lq/mrQmzubYMfvbTBUbM1CwhtcOMiFvzy1pAZu7pyjB4uwLBZ8Hm9yGVezlckKb6YoO yvmPJV2b/umffeA558NuszOf8Acp75qqxFIVvH9jBDZhZwQ2bYaU6TZLfRlwHesr/1EANQwi61uR hH8gR2jZdcnyTEKyJE3QM0diEimb5u9vQ+yqzS/nHXpo7zll6A3aADwQA9mvx8G8rSLANFJk3Gzw sTt3ux7EzTTXwAhyFgezjPwBGzRk4UdoNtjOH61l5V3rJEX50jZL5pbZAOfKq2OEKFEZmYbJ4Rw0 lYX27rfrgxOiLpalcV2N9aJeEvQh1teFV6932Xy3dbM4Et0K8ZjwopHxLZzeiBj+Od4xpeuXGCoH f8+r7HOQqkhvsnoWDLPXL/h5kEYlN1XCmlxKKFq5sXYhPwCN2DFPIC8Yo/nZseOg6k6WhxsNMiTa LsMw8wcBPBVAsv2PcGrsOxDG4aJwo0d1kQPwbyaRmmjthElcSYUNjJ38xZZSCimxaKb5TqSE1jXa z5bf/rnt7oLwhVuZ6QLcw3do0WdT4BAt3YIjT6lxCxxrsSbDtgSWRvOGiUVPacRwBmiulQhKAcUD S7NJoiiUr5tAIeuRw9LGt017f97QMe4KZN/6xUPIuT3BGIVEyVDRCog5kMmnmDQof4QF3VjOdnWn VBq9CTDvNqNIj6/4U0GCcb5C05WcERHBUQfzdlo6SCCR3P/bpJBfc4LQTxmd4IJNbIsAWmEvnQXz zmCv/QOuItJXb5JBx0O0T/nrb/WUhvXoVRcTeAJSuuDBIWS6rWmM2kEePInY3Y/BNtuGGTfZIoNm IHsh2R9VqnUrJioLZd0HKS2xsqCDdhNTR7MaJ3ra/NywHbl7A5gMcoP+/14U9xNPLzUm81qncnbw XM6ASIH187wnNjM5RQ9CvGL1YFfyhuRRaAHPoX+t41Fia9IW+wP4sgo87+WEl/5MPS7JDjrBVZMg VLZiM+EdtI6zrHWsOJZpd2HtfRhJnhrjITSDldw2qs0usctGTEp4RHbzWONLSDmTDkTaOUsspHqX zX6Uvxeq/7rh28TL7E9TBFNR9VgivXVje7QhMamDGuKhBM0U06uc7fn7UlBKTm+zYIiYnVW90A7p UQeHV8sbM+wK6TIvGJ+6KBbFOZRPDKYHJ84cl5SO042Fs1rrtUC9dwC6cact5ClnEyHRohGr9UN/ hW8G5yhjjAhi6EO3IGOFltm5MR6inuLBqT5gwuITvTpkbHgeia+9ME0mIyRlhQERL8jimirvGK4Z TShdocs13lM62HA3iEr+T9lG93KFbyj7Dh/iSjJtL6L5tOsBsOuwXmN3ayZIQAy1w4QuBfyanLTy fxyYWummD4HTuEllfeVzJNnS2bA+pgLerNyIfTExzrzG3Kh34dRzefc0j7Hf6/8W+wM1ASDQu/Fp tXhlYroPg+Qu75Mrw+sJ4PEOiS87U73Y8h6CRKNauMwSxmMObb8hDOEz8AwQ/3RRzkz4fLwH1gnV R39G9IySXKSguCoNjtOIrHkKEFvJMOyW6Ml6Z9oehy27ceMmfHt8T4SDxF4acw3ptB3XjjimUu1n GkBRCvIq5va07nHh6M+YKbkxMj1+toYqt1f1vBP2/e8ST7bnd3bv1JNYtg4qFGIfDWGt8F717Ja0 NnpKkuN2qaVIwL//BtRzr0WOgHVP29LZacHB7YuJBSCI6oo2EMou+uRNeo6rIxG+h+QoKwa53acb fpdF86JLZ60D60EAlZbupkPqUwUgfPr2jcifydIperpNwtWAtT7eXErw9U3DsQU0Csv5jMYnG18D wb6Bj8FWGiiM4er/XtvbljG4DZQIgNxzCdZy6z3z100tEEGe6u+rtzUrQcmMFKaKz3j6f7oPTqjS F3ioyZcHJphDa3nP78qEnm2aBV+BU4v9n6RNBHKWo+MJKOZebIe6z1yNYZjEvkkQeh2vSISV3Dy4 4z7F90aO4HYneU3a260DJAOtiTFfmlsJSwCxhBVzMMfoRzHwhAs6Wg+joK9FQKdAdvQUgp1lViMu A5+P21MgT46kOKXfDq3/yMQkTdFCOLxdcWygPnTYqIthRsrQYXOY63eXauPL98FpUKdbdSD2P0MT 9cec8y820Y9+aM6KZfWdnzt1TfCtvpyv6vJx/YDGIjKlu53Ix7ev1aeZm86p2ruhRg9AJFdf4rVY xx5Ob/om4g4ZpPsUmD2BS/rxu1XFbq4j6sTKW49vrzwVRdbsmDJtvwBFQ+DdQWD8XcyKXetZd3T/ XHn3cEyyW188yXsVsEkdNI9AFgya3n5qohJiQvGsvvS9/QtkPVh33a8R5KUQq24zQh3Ru/EETlw8 R+ZLqnmlAG6YWK/OBCEkDxW+Iwo0XBukQ/dsMQqmL7hsu0HXe9N71Ri0iBFtEs9R6iVLCTCEBJOc lVWd5Pvu+po8m63D2V/wIFNrhC/mwiKkh0m73zGh5xBDHaSH1OaFOaJ8sW2Oi3mbPbaL56HIr0o6 CluJv0XUP3mOnNYhjM6OZA3LYqXFyh4eAYAdolJMRimXAA/I4kI2eEEJNSm3pzU3ywr5DUcFnKGj sIceroMgDFotOkjinoGhG93PEUmo/pAlSEniHmsoDFBFD7ok/vCLPMYWgDXcymx6/BUosqGTb1rU CWbD4688XbK0QZZU44YH5LftqHpnM1yJ0YmPKQEfZNh4zH0aPdEKwnzbR2RGo5nIJPxmURH2sn8O Q2mPnoMFzbqGS4Yt0O55Luoq2/QCUnsVN0AaObGd1dI0xi9tATj2e2XgosskqSFACDt+k8iN3+Ka fwuN1UCiar0hgHN3ct0QgSVvpDcMs98N3t03ABGIU5jd2zQMokwvcEmP/gyjs0nLh/seuu47KKUA 7moKoo1snNzt3H8AUI1l8VJbAkoqijqdxMdRhMxIYke0L/oEgScRenE2HU/s9CLHNv0KnIOzYL5w 5ckQdugcf+4FzCPf/FTOmOepwC8/cGnn5HtbVqsMT54sW2NRla+YaPGHQE2+AbdcRo1Zm23Sn2gl N5fY5lK898oHHTbIgAnTyc5AS0olDY+vjR4ALuLt1Suc/rYuc7eTO9UroecSvsZKkiaVDKk4PByS aRgAVGtFmScBCNNTFZXHIWhTMZ1QVriaJv1VmI1FbW4i3xMjzgofWg/Nvw/I2lj/fq5hjjnc1ICb V+kg+CcmYsu1LLk9HFPVqh6//lnUeP6LNfzH04vFjGXR9ywqwUjuX5DzZ5skHmpE81SArzlgk/re PdXqZk+ZxYgHwEElL8GGAPaGjJMwES9HlMV3v83Nv0sRXxFV6q9n6Pt6ORKEuWGB6sglFQgpgZq+ XlDSBOo/38LrcoPkmuTX5AAuFzgsrzlx/23rxxuqs0MjZGqIkUVNqFOC6YLuYUS4NIczCioSU8vO vQmpOhAZH4H6X3imTE6HJhjfbxKedbco7dpd3W5QHHnc2uTXzNaJ+8zj4G1Oiu0rV+bWX4jvLn61 ZUMzZ4WsRwDjdQahhZfY7NPmltdnEQGk9EF/45glFiLBHE+TPkkgIz+xk10Fbnt+GukR5P7XHSWu O6wImkSdGiT6NRnQDf1U/ln90xB5WUqH3xHc7vBysMhMenBNMY+enWSaaSOfL+9HUYC2ZAm8LUFx 7/230dKCer5i4tLalamtYbHOq2efZlRRwI+ZArhi8tgbBn3Ebf4Ouw0PFe0OBW0axj2e/zItv5dW s9o4/4ryFbEsnprV/D/e4JChb/Yig/DDatLVoNrG/4VshtgXTvwZl9JlM4Tl+LQdx3Pi1HuCFAg8 Q2umQqbxFKzCJn4ZbnEUxpWkSzEGv9yOZIf1vy2vIUv6oeFZ6NInplB62mUZCn/x84bECWfnnCfl BH4fxs1xLWFMhtPr8RlAckWAMPuYwRVfVaTDMIsCrsFNf8K6n0Mt8rxGQJri3ZC+FBhwBMyYxfk6 ZofowpK2iG0kYwopAIcUiUFtfWc35WqJIuYcGcbQGenKJ7ySLU9uMspKNYghmaq1dcSbtUlA/gVx AV8qhLvdRicfeGcRJuAJyqc2OtDgL4cE2kifpd2Y7UjvTmZwfVh2JLEMevCBna6JhhPYUC9UB3aI U+hG2rabuqdxpNshY0ZSdCrVOUBoOm2zklVHPJE5Ps2lb2I0XSGu3ZyEsoVDMfsk4nWDi4fEMeKb D5IeM8JkmJ3iU/BGcmQrToQr+9JRJT0mo6q8OTy7CEHyP2U8XJxcMgMiVrugpmGYjDugZgtRPegO H5UFtCbRokNrOt29sgYB9NXULrvrGisM1ELNa9WASG5cS7Sx2bClsWZ5nEz0hKn5Qtf9GAI8a96a /Fkk1WZrG31bv90JwC4BHi2ZvUQJnN1QNRDJfiuctCWblUUHlTk8qOxUgrSPV3oT1IDPwIqznsKa bRUH1MLaAU/wR7LL11RL24WqEAI+WA2bEmreuo/jSTe8iW58mbLJexNiiBICtmP/3FCNAwIzTexc CkVi4fNUyQhWTb7R3r3iX01qWz2stm9P0dyrbERNGSo3dwDZF5F8MmV23eD6h2f6EXP2G3UmYnr1 FeeSgEPqf9bKuY6kuWQ9gQdu14s6toEHOlEr6PUa+1JPV8I25lGbcqqHUrBme3wMBa1RXrdE52yK U4epHps5+UYqrNcYzabGgeo8VmE4ckOyRY5WB9PKD2S1kOQOUFKjgxvSwz1Uw4bf1bkCkSBJr/d+ G5n0QE4oYb1dKDZsLCpmeiVYkDpa3EfG+cRTpBYeQGSc4+WCcHPG3OXrg+Xsw79x2WhXUv+cn98f 2872b0IBNpmEkOne8rCwy57Sa9sQhGX5YLYidsuK+bRt65H5XN8cv1dEX5KnBImN8O6Knob0a93B +4yO1CacPhIG0HHgOuI0Y9wMt2SbaYE5AM9+CAV1QY2TSAg5yeAdf9Iq03htNZm7ndGnwPuoxZp1 prY11QcO78HBOqpC5aGJ9vjgoiHf/BEXUQmM31c5mgbTIWg/L0Y6TW+n7xFCWHz55C9xgsvmsZuS MMgaALlJ5bz3q61XUyNRBxa+yUrXjeZBeqQJYJhXvyRRh2QRUpxd7sZZUz1uEyXf/CNDXSknaffY 2l/UFTQ2JL1SuYcVXEJ8c2p5fRxoBKmqrIBZpFBNx5KkaLIqFtNcPTbhD/GguwIw4TFnQvrTTfKr SJP4sz6lYBDTxvF653Nx6MOlSeblQv7+WI9lwj3blCn4cDGGKUK/5lP9741EWDRTAJ1VmP0ameFa 5xnZ7idjHC1pd1onexMH2k2D2HIJkMYbSaIm310PnYidrzCRe9FgZay5D+WlDzAz5nDyJhI5S7vL K7E04Z/th3INPn7TkiDhixRl+5Xo3T+biq4xnCpn7/J1V3UaSw5uyfSjKtB9mfT9py+VVWGWt8J7 Lx3Nd9A1nvaQ6uPGqSwnYRKuTkxMC5ukGrEwp49rQu9KzTA9OAa7ZyMGXU1IRuV5Qm/fwCEu+kZC hs+a8TeQX7WypUoDb5TbeQ0/gJsS76/7LaQa0K2EAE0Yq2TBeQL8h3ZJ0iP/mp/2VvHo/+BM6Pny KHwu9mPJtTlH32ZEG6+y8loD+Gtn/jsFQjy3m5pMFQtNzCaq5Ly07UcLOaKuBuKAsBrr62kkNB3s q/h5w7ebOfE5p2PK0HaDzKBUrga2WqdZOXZjZiOX8tsOoOVoWfUjTC2CXZa0wUNE9t3DP3wIjYvg lVGPbidj7Irao0vVHjZRz2xuKPcul4+asAuj5U+AlnX1ZnSam8mXpR2W9vGMS9U9JQfbqD+AESUC d+9H5LzOgCQ77VzmL3+kpMs3uv2KUU4dnsG/G16SVM0tctOg0AAb4Uc4+mx2d0w/HRuGabTg0qa+ p0cFdrcEvLtGxy/9A/iGv8opMKe7mZJO5wtJme0TTKH5H5FbMupu5f1nEQsZU7u5+w+rkqdKf7hR ktR2BaR8xP1qkdWdx7GryjRIzKuR4E6dbDRkqC2y+bZ/aIw2cSJQPCfQhykbmkJYsGP5GG/bO52Y v0dEeHKYoKVMqX+1Q9AwTU8898849o+NVOxrTkrejTPSBddrfmMxZSkccS8Ca5G4WLFzgqJ39W5e vnmOpTWd1FCyFV/giXoeWyQAjZtpZ+7ogpNohiM+D70XmkE9+4R/qL8ugE3lqIiR8pzgxo3+UqAo 5Skf4zy3Yi7rpCJI8YwhtVvPDJRCYdnCA5WZhaM/V2ALiMOeL8mnptr3oQFzz75TyUwehk8b7HAY NfbQVDccvtUvnunyHw3V+ajM3PgPy2eCRzA3Bnho5baH7LBhl8p6n1Fbed+EG21yPoWe0gdNt5ln HwYtLImwfoahl8CimN1d8gfPlm2v9DDSiDLG2JIJdmdIKrmomZwHdv6yOVi2cJSVl2QIiR5OgL63 9Q07UYHvbQcPbbkCgu+pMjOyMZkrju86aIdvxSPuGF7fXhKUcrn8BK33JRMa3XIBd4XAS8gLqF9y 7bQqxqcsvqVTX33Yi7a1yuMJuOOzN0+g2An6RRNCQbxKmNrFO44Vj7ZqDM2XXd3Z3B84QmUKreLK 36HOp3GLEvonh2+XbPHkIvOnO4XunXubvdyJ2K5/SVPn6e/89qLKWxyuWLLgG1y6kVo5xPFBft4Y y+Q0IPWYfMSR7iJsWIg1ecpkqHSvGAvnGCE1kh6ejDt78I9HC6kQ957jiNdlMh1Iaj2YcfXJDDrB /mx9tV4RmPrvExOj/7RGb9+qHyeNpoF+9NvJj/q/51X7Hrcupyjpi/Phful6U35Ydbv4NDbEvE3B QpMLg8K/H0aKKRBg69dp0VTubnLurfRwXG8YdvMYfl3ETLVCSQJDqwoxSsH35oD4JMLRcrtWgFIC dVkbApGmxG0HfEhrNc3qfycE1e4sjeWkiWCZ7oW/nPbspIu6SlZUOAwSQgOCRC0wf8t0UYosLolH d3m7xduUJytCHJZ64zQq4e8DLLGQHMuTvp15JMFpzjDd++VBg7GW8KV1i2T7/2UoKaSCAXCf/ax9 shYeV6bXU1SuWO8k4x0t/ioRv8MKOPpzMIjSHuoS3uHNrMuKR2U6jFMUGqafJLciixbIRtI7bEas lhTC0nWNa1iNsxauJJsn5f7ehp0f3jwGQxEt0VoyYqI+1goMkxzSENFbotuZp4A0uVkIwg+FWbCn JSRuwu6jtRJl/OXsyTn59ZwSwGLlTvpdu2DGxpRe3YRTi+c1CwEwgsppaZcZkCy5dSJhZW97p/KR v//R+v569NORTUC1M/widRzZYHIo/rLoaLBD8cguedIYXKEDNO8Wa0jqvQ/eXY1sUnefbCM5UXhI YcugTorvd2Tzy4HOToQXn3blsA3Qg49JC3F1OxHliAfLVf6scoWYPCTy0UFVa5/COwg3fk7/HRK7 qdVilOvxLa88u9RCZ2kHwSRVgyGH4mb3fQ9TOvoySv10xbs3GpMwmBK06U69FeLUXlhQENQSL3Tu /suJWLhw22yPOEg7qlYmfaMft/q3SgrGw3wKVG6lfVR6L9bFXqUnFxGezVHHilzoNrMo607bjVgk ApwIe8KkrAyDShcQo6MZL1ISTRDWwr7Ftqm3Qei69LhUjWnMXpWUKtcNveK2t3NqEPd6ljDkZ3PW KChPhodpNB0N8zQBeQ8Fr0x4q7O6zzR2RZsTOuAx207/Xco+nmhQ0EfES43xbWV8w37AMAlVCrnM IZhGmOqbekzrv+AC+LfPcnuvmyMenr/JopJ9CAyYb9YJOlwiOPuSa2EPksZvEj0v7KcotTJEfwG4 pksEc2/w0QkxO69z+jSoDnOrLYFu+IPWUqWVASB6ff9jXwMxsP3sz8Mr1R/5Q4fBkxzHh+b9/gzD nHnzOhHAAtI7+QBUKQyePi6uVWyJC6FQMb6dgP6DO/LrYe9F389ZAyVc1JCijBEEDlUf7JFBUKZ2 QVtS6ZW9RYGo7MjAIy6bbwcCnY8xt/VN/Ps4+fAAMFFk+Cb9BVAi4tEU1/YP34aHQ4APOrtaYjtn fEejCWfiC6Y23RUEW4181mWHPLnVt3C1m/vvmkfrJV0UCimoSUxOpEMxTEKG+Kp/w2B5Xv+I2vMy Rj4Cl5DVgfTOwUa/busvaFL+qRL2E2mnHBpuqmh3/aCQtTHp+Hv/mZVZnpPXwj4JPH8SF6AB2AbD M+P8sy/dvccdYk+3p/G5xsPhSt1fjH3eUMgELtVFjl84oMAt3chxPVMb0RIO5aJuJ+NvUzekVyCA wgTfZBPKARLqniBOIrqXDm72acRfWZlVFqc6A1DD6vlSBu/lgx3xydsZlIrNmjF6OF3sznLShvxN SgteE95JYXihQg1a8e0dL96W8xPLvO1sQjP5uAnzGu4D80q+DifnBbcsXC1WVbAzetZYw/kIcGEH 66aZxbOIOgF+1mMUxZzh8+HI+TrA6JHnWUCuhQyuze4UwHIEts9Urakuo04fnSuYwDDhYLcoJ6TI l8qYyRr/3y8bzEaiL1F8Kx1XpkqcZ4hCwjbQskaWpSoJN19GRH31uEBT88HLg9XhqxL0pN1JAsMe VKNooZN6cg4co11XFtn4+yzvhgjtqW+4CsghVDpypNqgsJHTUpgZqY5dhfMfIVNk+DNUtPxRWQJk Js6pXW8oxQhoHFlTau6mGG940YPDp4RqvZEgEKjie4KHd83978uJbZZVv/Pb3J8Vx6JwFCGfVDin /1JS3CIAHEpDVBZ9vynebDHVfDmmOvJRROwT1CPDukZNzLR0CLpexyhMmvExI/YcBevOb/edEUKZ bssD7fIU/pmfh26fdqrFY8hqrjP6UD8eB/R9Ma/cryb9a9HFH63tv2B9gLoeP22eDLeVDA4+9QiF b8XJXVk2IgNEbnXEy39UaVSjoBQZTkzt9R8CjehC9E/2+Xknr9FJRFYJDgGNEONOejvmZtc7iBNC JqMq2YN9VfMgmvfXrkpxPC6V+Q3wsPLnAwYW8pFrnkMcF9Aevu/84HD5x7LY32BSVRmTkqPxFjG0 /CVuX+y8xNK5HAjtBvD6W87B2KGE6NzpIe8lbuGa8coimyWpERDD5agYdk9fSznWCivRyzEbkpDv 8VRhy4hnvm3JX3AaFU8iggqn0y5Hrg/eqZAR/vNQ/NGmivu4ikMym5/VLZwu36ZaPQCANZtfZVqz 6Banbn6RDjSlQGBuzoz3YlBdtMYAZzs7uC9dedTKz2KBFXzgPSQ897EKM4+SxB7xHr7Rtu+NQEke rxjPr10dL9JBD6OvwZx3t1sskgaH6KnyMDmLvXRL25iqj73eNVX6jkn/yrwdAjMv+LMA4gNrCwiJ Kl4lD9n8wypL5gFMTtYbQ79IMjtTwChceCiJ/suAu1f9kt0gn71Ay8P+XB9a751w/KMqcAiRu9bm 9vqyWV+1eJaZD6mm4ZYK+EWMqTWumiV8lSQq8OmIlK/TDxb0TQXlNzn4BcW9PRML6EcWF920fWi0 1HssYwbhLLykmLibaxErK1IQDwwgFSb42KG9E9J5et/1RhLZ9Uvmdr8NkeJRS/ybclZFwK/UIjcY U5IRgz7TX2gTlwdixS0HnSt7gzOkfaRWdfDr6mY+EN/kNoZ1P/Xsg4QPkyRZHUXNaq00uOuMT12A euzusvtPPS3OZIp81fmY6BF8PAVy/f+VukOzMdnOKSVgNIVVbih30Mt+5mipu+YUBYl6Jlm9LV0J aieG37PbNSoeamRcnrSz/FQBmoERZTjDUsTgjqhTDURBYPyj8nsPXmxNf1AwQdHsIgEutVvoQDN3 VsobIZ0kitgXEI2KPD0pqZkoN4ol1fwIwEJs1Nkvo63fYJbMzQ/kr9ItN1pbOEq5uwHC2aQ6gIAX hfuq8PTh74e2OUGEt2dJCsoguT4ivARZpdbb0u2j8/Sx7qXWIjSsWDd6naoNdCtz+rm2uWTtkbgg 96pyIJUcL3mBUPy7MvwwbTzBFHtXIO9NIdFphR3snHkUOr0anYpHtNLQWvAtOGoHUswoFePcPoVV xibelN7Vrxhf3GP2VqkbuAGZ5uBueeX6Zs9ZNzdNLL/uxtk2cwzKeat/Sq7e6fdMQ3UdyAmJRCyd gKAwkbpgX9nILCZ87VGb/KcfOx3Ld8/OswYWsJXSL5ALA/LkWBA7naKRZASNdkfyUsJSR8eUIJXo 30wBKIz22G+xQMI1VVb2+UG3ZosVnL84vMWl910mkm9sn2KOxKHz6Xt4+p8GvvOhUMWSAxXcb0+M 2A2Jubc4JeWP342h1GikS+3Wb+jTjrfhWMioFV74y4xvtgU0CANb2BITGUpE2vuIOeEo81xoto9y bqoAsKildAe1XUnnFka8qkWeCus5dEPus8tY4o97cP3XRBSJdxr5QoN2IkpFYMoPB4mAj+74dGsF KCNTJ1VZOq2Z2+S2lGmpexFtjsBYlnRXNaYAmO7ZdqTeDeGCwy4UG1lMn4KhbxQV994oDvL2Ga89 N9z10ZtN/6NJ44WkxAFmvdHzDPMZ179SR4Nuf5tpv+2CDr8H52xsOrD2IogSbSF84u6SAPjvRpNu 2ytxSNhwLgZ/vgiF1WDs7hH9mq6ysFx7YfUVIseOiYzxUHUrgm8NyXe0jBrby4AQeylMrjrtQROy JrnXm3QhY44TY8k+T8KzKxEpXwg0EEua0kB6SKYdDgj34AWMTCJFGKAlCe8/Ob4Yo3XG7F2DmV1y DzTV3EcdWFmUYCA1EdJWxDfv7rUxw52JsxaUIscu5BMW+hmgXYP6Uxkc4UeSotmihBtlkJTTnGTU 7cHW9aYEpMEhCoojIQVsABRFvY1Sx+dQq6FhkElF79k70zy8U/xuro5SaDTLEnKRC1bJraUml7K1 77ZWMODpIBIj89fwG98eatOwI0js9LaxN/P6ARr6oJwKBGA6XdWsbTHnYTOvspu67NGRTHMJmMbk 7FW3CRvwknRg0yvK5B/7W0y6X7RpRzMLnKp+taJ6JfToHiWk5ycFkiYyOG2gGrbcZi/i7tGpdYM6 kL4Lld/0X8ECKrqQzpFcpSakYqKZfI9TnXwdRNxLhsTB15EQgoo6+1dEa2arTwEQNh8rJAxvh38c Zfdea6L+cn/lcFj3SRSuDXsXnHKeFEUIlzuUwY21FDLGfq/zT85nasQ4FIhDk7L1NKANETeBpXFS 8/OvzGRcmJSlVY+pTuSfRB3ykf9TBFnPpAGO+nUyF5o6ruZ1XxL+SEWMzflSXPoRC7dagN6wqZTn fbcvBQEM93RIAjDZzlOi5h+vqZQTmxWYprYLo4xOtX9+gMIdYvP99um0oFKl0/DL7wOcrsop6+Zd oEvNXrMOcqI3QN4Afpgwkbu1wAn4qX5onLlYFT3Rcq8UTrFpCeXU/2ZLxTWR2M95khodINETBeRu rK10qhA8bYEF69Qw2sM3O2U0Y/9ZVTmEAJIUXQOmTMnnog5gBO1WaJCmIqaVcoZ9UTUy5tPnXEBq VY2A8Cbx+CEJBwX5XEPI9Pw95x6lNBsG6XPgPdB1I1r9TikellZQP8alSNDKmYXpqeUWefQ9FRAh hn9/S6Ty5BP7AfymE6BLiT0Trb8K+o8zsePmFucyxnviV0QQcklcR9B6lvEaa/Y7AKq900iYNJtO 53rf9DtBkc/S9/0Bkmzbs1tgU4mi/o12Ft8GllDezQGXe7IBDyM3Z50p4aPUPH2ugZqxP1CvD/gA +S+slhuLAEwkB6EFVtPfgezIuIWUBh4iNxoDvv4wB+8AvoHG6SiktakUqjCTL1eMx9cOVy40NWg3 ASDLhHTOjg+eS8dhIrr9oswwZLFqItsp8uEq2+PE1+Ebq/Tm/J0Wzq+FuJafaw3c9TSjCjz540oo M4PKVAxPgnYAHgfwJ0uio6wrzKX4LcKrRxvDx01vpOxR4LX+B9ac3tIxBUSdtf6uLAr2VGohlqh9 5SwaOsihqBBV853N9UsrXFUB8aChDPTQyVdJP3Ys2wjdP5jPhNjg9ZNk8Kk1iP9kJd7nMSxD4/Jf N8I7hnpxpolAhEdMafK2POfgBD5mSPBdcnnf0H2yGpz+jSnCw8wKFHzfrQv/Jgl3JU1pZp4ReE3y 8wKfCFyqk01gTxJZ/fYTiCCgMd10x3FTze0spo+soI6pnnoJ9uke59gQPDvOwGNzX4NEG0SucnnX sYNVBA21aBy20iEj4NBMv8nMf56xx+noZrrxGbpA7aONKNYDk8GSvIFS3oyFAdKpS3AD3Iir8jAn 0FzksE/eZTmJaHgYcbkdHI7rXmpCXd+h3QTeiQmWmhnTA1ya8NAot1V9O7OVEMpZBEO5OncTX9SM bOOJ07m44ktt/wp1EldfQuAXQicvx9NSOlUqou74dFDLqxVVo5TMcbsm/MxM+l2i+9WEhHEk25NA EfYsHb5G2juNFES/BguYmmnkoC9sioYROXFDm014O2hBBiKTvKBYWk/G6DlDjebb8kPoAeOG5knT /kTAQej22BrbslokY10gujV55KEFkHWfo7rQCHAz/mAuEK7GK2S6SpvEklZVQbOmu/vzfxgd5fN5 ZTW4cOrBI5iNtJA+6iMi0PPXhEv+TxiWgJ3DRPToZqarewuSlyQwlZ/ifF7990N3o2u1UTHFFW0+ m6XX16L0c5PBID4+ZAtdDJHFGewe7XNSvV/gChSYMmVM0YqdFtIMyn2uTRrZCXEhxdS6mcKbBq7z 2xvONX5Bw/UhQlicmFEOk2NaV8DZ394eqVfGvNeaEXb3JdEseBv2pY9dXDVelFtQdHocyzfOtngE wyOfMOowL4jsnI0QEGaUgu8OpzCJf4rhXSimR7kQfsQbDe9TKNDe4ZP9ad/+LbUSKg9asOGDOBLK fiLvPqsvokKg4C5mRh8ZfdZfoQazERtQ3L3ZEJMFW8raCJ7m8WB0TBLDkYRFiSGYQT11FaLChgn0 LyNGHk5zaHuiAWU8ifo6vGhVmleNPdiy3LtyYFJIpWZxZy6CIeyJbOZlGCh4e9PdQ2gUVyy9yg4I +lnfCG6vXAqZEti59Lk/EmiVC2TxKeQiK1ToHJUhN/Hlp1apXnRpGjjdBBMVYO/fP1iaBRpv6R8D Onpv2FdqjjkaajcQoLxmr4ibknM1oAxG7Q8YUTJEPJ9VvA4qYO9YqVDLha+xlusb82JNQjQxochl qWwjFHvdSd39Oy5kTiOIQZPbyfE6sNHQcfY/xhdQV2/1gY8yUDR/9YMLLsT+KmF7OhmxMQMTHLRL nt0l2fy+/5U8vZcB+TNeTejOuUoaPvSIZSjf+d+O5nis6W9+9rk7rPA6QgKipyrABRLDEp8XGWBN Ol6UR1UkUe1oYtMm+qwyBINm0lSBz3ATNP/u9biUySZr5vPE1K9EyWfvWHRjuXm6xI7nBU0LtD4L R9uONRPvH3bI58l7mAQhOD5cRmB01cREaOy0mKluToqceD27xL2CqL0DsRDy6XObuQAYetrH62NS U8RBQJBYXkw8+kMO/lBRf3xMc9v9isRp0EJE3bRLcMUqNfNvPAY8TC67k9sTZjvYVBYlDAXC07tZ 8AvAXdFLHsYiJTXMBv+vCiLQQZgoeObVnSvuvmS9LKJv0hG/ShEUOgLwBkZVOLrTwDhhK3irY27J b1GlsTHGCvFLk8I9byYxv6pacrDmdsMIK3hE1UqzeQ11AP1cDzYQOd2xjez7iwyippx0PM0tbtSa IYuuIIxKCs8VQuUk0u3jwdneyn3BUdQnxe0I5wLPownfDDXjUgxrp+QF+CDBlLh7b0rNvC8FwHW6 rtV33qfvRH+xxs84jv9D9Ftv20P+UzddwN+Rd4QOWIvDK+BTqf78oy9rEOb3b6gxhFPoa0IXM7qa UVPlq4YG0041gXPpwrp+LUcfayy9B0/bQVKD7iDSV9Ku4hcQbq3zHTX9Brqc6wrLzdO3G/4fkCci 4tZnoeC4xcWjM8V6az6P/xrzIGLRWxVExjW0t3bCTd4dj7NO2D8L7qc1uXAa6S1FemBaSThQHCrM DM1qNANrje3AW+HU2JPVTvOayHZ0RWc9qSEcSMRO8IMDNGhsiHjjOZPMY6j6hWm3gymwtVw18mHw raivK7ao+j4TXZ1jfq9ywxrYP65PTuy+B1on7lZhADUkI975L+cWwyOk7ZN5/aWpXiqEBhtRDBzi wcgmvG+1pd5/mF4hg+bM7gC3kIomTuGHfoX4ZE7D8alZ9yjvsuAZKhnxgje2uV6sI0ZrhSOTIsrK gyY7KSnwKzeKzA4fmd9jvAP1Jr33aC+6LMTQyYaLhAGgLhMTFw9UqB5KL2brnPU6b14TenqwAvUr DpQRdMKg9uJwNTupbAO6Q0jNrsjSYAiONjTLtQanTkc/RJtGt6gxTvX15rFGb/QATctGz4XPSj4N wOVTcUb/lh+lP4rE5DvREg919PCBZI0f3sziYUUuofUvJbh5qeMts7wqvV9UkDs2ofjg02WExt3f ZqiuvlEiLQwYZr7P2CB9ZQXXJJB7L0tNfJv8TRW7bqi+8rM8+s/8T22TBeYabYFmwQGhnenqcv0L aQp23QSKgDyZ4WIi2A7wkWrjaOVp7i9QEUBvPltwjIgVHrwXPc0BVxF9J7ZiEwqk2AQAdqBIy74t Ss2thqKReKwWdfSV8iltQvBPDT9s6afGBoMlgKeVw9h8Fi0U1XbkxorObQy1rBOgqf1f534euLjW PyT8UyNslk5i7pY1a2m/xbjbLS/BvSW2UT94kjNK+bYLgPcONwCcEaqnZI7EF5zFqbLyl6/eIYAT kvbtwAHL2awDUj/XajgF2uRGUhXk2oPz+XFLWTe7liAHVfdADJjEcXvvbFwDjdJxmJggWCSV1+et Myq7CZ2v8l+b3HscPC6CWeLA7ifqvlILY5iVk3TzlXLGJQqG9b2J14HrlbT9DQOfGoQCHjTmYZQY 8ZTxiPyM9TYPsa2Ft350nkJ5gSOAdralH8d5LrUYGv1yDtZeWF4D49aOJ4Vfcaai54RwsSJwvabs d5DEiU1BjjybLSnhB88NgBkbRreS9FSjYJ00okffBmgdL/EN0r1dwdEsNCniUqPOOysERFs8aq1B PhiMvcsLFGAuiXRFajTf+SAJVO0b5Uxn2X22/ugyMhcLpKPTfJkZbJETN46/pwAlFivzrJJAKXAy FAEq4AJVxvmxYpFkcdRd5Vnu4tzFgVPlBSqacg05Yjtl0AekptSMsbdx4m8Mc4GU4N5PAq7x7LgD lKC+bY1jfx13FwvkgrVhRihIfDK2bWneYNTVfiSI7MXSogx6x3jJOjxiM6SvnSOBiUW7nkhA6hXH aHCHJPpNkxaPKh7R2XnB2nfNt12D/R+MAZ4qIviyPe1pBdBhOPYRTw5u/113OeL1n79u/PQG7Ncl Cf8DEmcsRrAR4RZDz51a87KgVP5oE6kj+VCmLcnI4goThAaJIQCxnc/xgPF4b+6yVicgcbX3WL91 wlGl/yR756lhkFizktrwNLOqomzz2lesx90Tql/Rh8ZnE+QZI6Ni/ZjBr/TBvQALpKWqzuOgLW2j fdUE2f5nZkFVWH5QkHPIVzE/5urWKAr5TL7GpoHUlyYqLalcRaARVjq6T0kSvI227OR2xjfz4KaO oz6ApRvvhH6J3Ubk4t5UJ6gss9YLzuAYumFS/xtRE549MWZmc2hzNMJ5JZG/tmSSoU+N91iwZPAp Dr2+0Q+330VNVh/Oz3gG75pRrab/610DAJZ63BEMqmPmvPiN9ZwsRa1O8ubX3BBs10BwZO0W/67+ BhzebJjxuGcAm/30OAN1+Uy4pr+tZBSf1TKgFuOrPtVa9c5Wz2H4oJ1Xb68/fROyaSa4L8KaHtDv 00PJDUvnqfPIlAxGIzmyLiqaRyU9ANWfxzf1wzG6/QNcCqp+ycrTHI5F743BnSWVToFMjw1c/YNT wMi6+9VHM6UljfkNp9QNyZqUSJe54EJ/RnJewVyqTNcxs2pQTY643yac+rHql21FMTHdguK83a7a H86Hce7egsmTlmZ62owDDluJ/VnpwXovsNgL6FW7rZEYRKI8zCNbGZLSBFUZzWPJTa142YkHB7FS BoSk9D3Jl5lu4oa2btEiRskogSK42VeDSZZa5qR6lsNfkx//SDFSOxh3C6Xyua1E4LKULASJF8GV F8kdWW44DEqdlXxRwJnwAo5OYabSR6+zwXCgToVri0h0JitzqFBfQi8pZ+ZWTbUDH1HxEJkx6Uzw /GgMGNUhep3NDv3sqUnuH5xa1uRlZt70oB4m7DE2RkVW++y6ulsMfwwDnokVvocVHukVFt/Ojtcn vHjCbUP+9DW0ulGE+b1E+XlQ/H5zX8hKK0Vuc1e7nyfIW1dci+0SwLqhh1Fkhjqf6RynP4T6seh8 sRSUrCJwB0NZdQRuh3CCMmPtzIKUihFMFRD1fx4ymmYxsyY5Ic8rOVeBcvBOIj5uKuphlA1zpcpL J3ah1r6igGBe6RAi4rJ5oOLxNwXWC+1cBfHyGNARZqDoSCps9TXB6085FsbiSor/zOTb1juBvNuU g1niyXyXacgMmQFvSQHnWG4PQrCW1SelBRpqy/yMq4nGfj1yWvaq2tR0Qp/bAe97AA4D4D+B81mB P51FlQEG5RPldwgyUbxFfbgz4ePbylJiM/Ht6nbq6BwPAx12OvARE9b8nYS5NPh5m+127lsvUYgs tjSTpkmqFljPZzSBDhTGmCWMsBtu5oU6x/HsK83yuGtR/838nmKIROjJl5/pJiYrsLZ7Ann5l4AZ AILQGoLiSoSl9JXNEmrKxfMyOb106/Ky3S+x9y+5kHhQ93RL3fAeHjjQL7FhpADKFeytZTe5FIq8 0VKZPFiPEmE9Rqc3fxP3VyPcmzM6kTPHgUhalTN+IVRabhZNi/omjEHYXFBJLm2ka1tsgps5Zike HVSXFw6cXZsUzolE2k+PhgYUhJwbIrqG5JFaikV6pDetYTlNAu5nuxXfaEQWhx5Vo4gTT6zDw/w4 al1qlnlpEvv0VKX860XqXn6CpI0zZzhv9WU6/3MbgPkFeipTlNFlWtNjmjmnIHOnwJ9U2Sc6qMMb Rh3t3iXuzIdaKflRpr6UAdhMlCtJ9tDx6LjNXJn5s6gP2LWMChd4Nholc+/JdFjxwldoJEs8DwsR UZjDX7WGHuWvtGB29+tjUPcRdtcB4JCPCogKj0ilsM+XXZNXUQ38HPlfmLUjbJq8isfTnQK/yn3a CFqjy8wnt/bduOVEn8vpmfLvzAZo3VVnZyCY8HJdASowUl0o6QYmdRpqoLpSxuS82VuMcOLPFYqM Bd2Gl+6HwVoUv2SJqRhIMGsZtQVU29E280oF6lRexqzL8MdVCYcT7EjDoO4ed6PRdJUmpswFnWQc 2eVX7DghtYrPbarQ+3BztcslFxBvGxF8YugqXBKD58UwlfBNMcCMQYQpL34/syM4BwejO8qER0Dy ejRv2NQzHVGpuQlRzlIkcSMhmG7Ki/3l8PxHa2mQULPYbkBb0EMW4nvEatdgpRVJipdPmfI3KQj2 kES98WkSYgbuF3ClXBup3yQsy/orFAz4g10+pESVUHJzu6HaJIypFdoJ+1UBQhMbB01s0nL+IWSX nMt1AgE38GiWrIbTVILJOEMm25Zq70a3pT14wuHcyjWMQUf8pnwbj3+y5/aDq/y3TqoXvwcl9t3g 2XMPtBaXlWizx+cYtFgCJyQu8b5MWgALwgvGOhhvMQX8cMQmgV8ot9/2RxziUEjUOMbGE9Nz8HQ6 LlYO1iVp9P6MDkVLP4xOdoghtFRZbQa5NWRUD402bjFL+qH6Pdulklsh8BEKF1shvEAj5M76C5tv 3J+GEr+W6QXBWh7wyIQL2/itCEFxpo1xc1rMlZ0GmpRHtGdB9K3hgxJZsmENRCbpGwROsuG3UOC7 82pCNfuzAqTtACvye0ORi8wPib+stEnellAPf02I3DU+I5fOkA75B30j8Cvc9nEaa+juPYiymDQH b/D45ZSaUnsXAhs6p1+I4CS0Q6Vz01vufGdOyE7y/Bbf7sq8gWAq+bHijAcwGCpyD4nE3PqiMVYL lbwhrJpGlrQ+mFShNS48LdExhRV+AfxIEdLvM/igd+2DSeo7xpmbJ7g+a9/A/1AkGzC896trQwyp YztoHT0qwj1BvasSrkclr8IPbzOFdu6Yr8ohEXfpOrP8YpQ0wHPWRZlc2PVQ4qzSOlkJ1KwxHHX2 0SVi6ihqT/2IqkZomfzuNv1WRtg9C8lLW/Wm/qWCtzgDFLZkYyJSjR9xP14cCR93ogelqyP27czU VuKJG2Pv7YtrRXSKuL3y+TbBB3M6zBLNFJaxUeMIvnvwqfuMxFngeNFA8yABsE2Gq7CspZ/rOMpW gU38xsGnwOeMDw2fHr8sv4Zp8fC5kIMqFHpR/CNkItjzT6YLMCoBQQGU7s10Qu2b3to4TB/AMBIZ BdlIx0CQSec2vU5AOoVt+g0++xNBnRy1ovpfOgEASIg/ARLYZ8afqkVzr/KfZpsu63gsgLqYQ0Uk F/z2zwrxNx5DfyGj9a6hbsJxbpDdcoQDsm+MibtYzA7wcgwIXIH1JCDkdjB2WhIo2zXrGYUukWK8 oUqElCQGXOX1K8tHDoWVKWmX32JmIPBoRf+G0t+ZrP/oTGhUbAeYQ8ZjzQt8HXwYIF74v65WgDP0 Vt58CqNe0B/2RWPntPEymhX740Kp48JsLmOWkHDU0wHq+yDp9GHtB02YAVAm4SN/KwrD0Ygv5UQi scGPo67o9LB7ZCz5x/VecCm5E9kn6xT2zeis9mpGbd9rvM723Qr7FCnj4XXWR/voslgMnl2RxXyN TtsLPTCGhv/W9L8VEARe2qsqqkcRwXaezsbI+QdPfL+eE4WVswCPH682Oy6pY7QmNnsemR2aOBD8 04pBEMyvgWUb58YsyIcybk0/G8zCRujib5XRoqgP3hmUqAhzXiMALUkm/GdKSYkLOsf7IQO3YdTq TEPsXr34j09PsJkHPdZHM6xcwpyZP1i016MdNLvH+swjqVy4e6q6uJGXKmrY5+VFGwPAXNk/Sz1/ LzNGMH0JjgO1Kj5+cdQyrzgzkdBUPbiR8A7exNCvEERby4mIZ+AKk7K8axqdyf0MZj7AuUe+9vaO 7lXIyOyDAOeSzi43l02yBjChb5hRQZHzHImm2qKtw9MvCoJPsKnx+bQuXGXy7kRhF5BuD8YfdPzC RwzQD9oICOTSIw1QEb5K+SFBwNgfOExWYmOzOI3ymTD2+Qo9P8yVaL4DPz+xm9m0avzTSYtIdfQv eLG9pU4bEU/3TMDzZV3ckL3jxefm15TCRriigJb673cu8eGYQDpfmRYlchHrvEvlks6a0rhycthQ ZD1u6YVMTaXuwQ1uyf7TKvzPhrydAOsRbjqCNlSXy3AQIi8k1EGp5XAIPdSg5jSmEGBAAfDbMgME XQ/KCDKNp1OAZ0GSN3PDf/tTdMDcJik7nKJC+ZTXWSs4/mk3tW6+hvJxepRhw5hnbXpNCRMOXVxj n+1meXtxEe3xqPg+8lLzE0GAvjbdCnlMB0ZLdnEjzaCG2uIg7aIEuygkSLi8LAv/8N+sA+yNbw13 TRUWdsMeHhQ+GTpfM/2GUwgVhZqPrTCSe3I85weaNPicPoA7UPTnfXlohZOg295jz9z0Pg+A6Wwl ZKFANhJHxFJzhwjlw7F1o78gvqtrV+g7s/832nRC2fMDMJIZP+gDi978BfO6RRp4z4ito4JNoYk3 cu7E2eBFRba8Usmkxn/JenXFuidsqKQ5i/41SFZIQnnPorg2TZnc6vo29KSEQJXx0vA9OWRD3tOB 2/W7hyNdD9rpqoLMmhZK8JqYVvxLrze1KP0Q2SRie0pBLMLA0OQ/z/Yn/jD+PbOQ6U56BhDLlEaq 6p0Z2h4N4tWikW/jXO/JlulHQM9HarFRKFgPD/X58gISZdhEk53JhtDR2QXB/K+pjBNwQbpm2cRs pjU4VZCKeDdlekbVnghwvyaw7V2W7MCRcXqidTlvLDGvI+I0TOMHrSg/Mi9m31KiGY5OFG5o47Ah 3PDbBvQc1Il7TEq7AlI6KuER7ayGnVx5lrggqShOqw88BuYiKwmGZ00vV1VBVOfdVtrhjZ6xoCSm SvxJ/mXuSNaLuSp21ftwcD+Bl9zg3p2vROB64HmhtqTOM2ki7LO8W3mx9KsQhIMtvJR+Db/x8iFD C/A6CVmdiaUm/1Hzf9xzKlxvi9bU0SHIrnkRqIi6PSafQy9LVGJKYoWeC77eSQ91FKdzI5NzpDnM 4Sj3BtjhlzBg8fhWf67tzTREw15l3fbJoTrebBhPnv6/M0h4nAWw1/RSgLVr5Z8L/d8NYROy0aiX CY1FeLHkoYjPbZV37/NedUuQXgxm/zqv9TUdgrY1H25wVTQsa4HVLrRqTR5VqrKou9VQPu3gV0de RkHUAsYnu4ZR+0um9de7tsgEwiCC7+aMPFI0RISg5FJDEj9Q2qUASdfBxh2qtUy7fFnaOqL6mQ2J HR108IYjAMlOjmarHYulCYSD1kFx2A89ZYfY53VBhOj374ZS2B6UctyZkN8CQaF2zNqmyjvMdG7d U9N9QNrqusr5xCEpQwxGZfC7XTbBV0A2/KADewHNPJKwenG00dV6NgjWEX9LjM5jj2c10llHWUVD za5dgFGdlg/uJ3IXgfj65jLqVJUtufbdMP1JxSWPh0zoQQdNMDLGAfigeJ2wUjesed4IwVy9iVHF qndwJyCGnEp3es36cxmfYXICdOX4WEqpMTNNifn/NIbGqpCw0Jz8VrKrBb3XXj5ofXFlVioxgX4a 0OCdNQI4/OsgBxIICQYfrl7PbdBANI+x8eA4ryW8sm2y1T7u65n/hqbqJSdaPbhMkVOB2FErFFG/ qRpbsh1wa6VK+sZApofusBak9x7LtvfdeVMfk6xeO5J1SxWI61LhIASVeKXmdWCPHxaJj8qheWDD yOtrqX2Y9gwze0/nKyKnYCjKAs3Vp2NqvSGf76baM46umAH+c2Scj/xptnf+v5pvekY9RdT8q0Yh 20p+16WRZZtlIVwTeAhfUUUmf/n5nOJFYgJXzc60Xcl7W5SruziFBFqxtxDU7IXiibLAnaJRiowd xo/9N3KKFLGqMysnMdtgRRZDgrfsKdz/Px1w5RN8vd/5BlJfaNwsgs+h/6FhtdhpTW0TsGt+9ZSA xT9W5X76+d221hCeM0BjQhW5OBCNVHyVF6tMcivBbyJQ+g3+vZnixWM8KYsdO+cXOeec1YmrABxy UIlsblzeCUJJ+H4ZpLbekJkDjFZbJ7QWokwnuwNtbx7gk/Q+YH4K0NAOce0dyT4kSkWiiEhvr6MS RlWaH6Ryt+nlanuHqMqJ4T6aRV3A44PXv9DbXZsLzIIXQ1GMIadwF7PBYa67bCYXBIbgDrs59IPe V5XUOvo/Vso3Xmzh0JfsaPlDYBh/xtvXkeQGfXljRuksg96kEO6o2qFCMR9mbgybHNWY33NLGMFR 3tsMVcAj7VcnKQcYM+SJtTvy3+BT9ta2Gb+Fw2h9X5yBz3pvvsI/fw4tF5iv65CRbTGi3flAjZnk FLhPbjnUtbRBwB0k7Xe0r4IsjNMQsDAVMDGNheH68V3fLh6NN/5V//BzH+9FWdPLnMNe+I/qf0ny 8u+VL0JIyU3EFaYzDzfFRW0fp9vZFX4dl0c4cHNHu/6NMoK2FB5qsKGN+aAVXO9InmOntCN63/lD 7a66sxHpyYNET+KOqqVLqIitKrebm+ee23Zoc6wzL+s2w44vNmUFklmEmnVh0fmsNhH3UcV4hDuu MbLL3rEFsF8ZV/DfXuDivtVUleIhRkAElA0Iwhr8zWsOP57IXGBUPyT7UZ/1Cb+lNcx6pfUXvoph hVGK/eQ6r/KawWBLNApuN6thfnhm9x5vf9cpb1Ebr+lug5qm5W70QOtxVkKocnxtT5wFJyS1WM1h 2FnNNPP9VCjoT3KJC1Mxqqs9hwpuorCz2CcaiMUcwCrJCSpP8CV0DecBcVmqcxj7ZsLwQW9SCBxh ZRzhYtGW0T6PeRgz8VS+oI0mW8HlfBhS10yhlrZmmGwFQpdoFqBwrCcrmRPHHxAfVVUVuaVBtRyw zLPfpmxIf67nLMZUiN2BgeBjlM16m33xMbsBsQnWsesQPt6ycLqEtTGISoaSy1UKD5JRqLkTTMpM HKsaI+ex9c86x1eJnJSPyPC/E+gkBfslzfcMXp2z5wJ+iU9vKYs8LY5XmGpLalDXR01kUHXAI5e9 0eAWRtNSVF3S9HupCG1BgZ+Iq4sa87WW/0ZpffSkCBcnI6gAXg721bc7PvAAKUtzVb8tspWcFCfu 41Lg/e17leJx9WaBHMHJQdHi6AgaugMzlfiQ3DDACCDbMNU4benaPQ+KjpgCyVENVAlnUh6oNx4H 3OCtHTWfSkLIUm82ZykE4+v9wg12lfbJduKefd51uc3PG9jTVVDTDe2YAttw/uqQx8cG2u93KiIX aA/1QkHeLcpBSPLxFGcpKAlBSn0Ds5tA3J8pWqd3vOlhTee4vW315z/rIOcFZQkZUvQOp5YlmNMx Kri5AQBmXxPUZe9kptgbdEpCv4w/gwR4DrC+5B+sMqzFGrN5n13hycWXWuJMPCGXPxMITpB0NYfg kyIU8mZiD9FvnFXE0PurKYg10aob7TaJB+k0qmoFo7fE/r43ajFmd4uHXqSGC/WUe1MCmtimJebj 9m+y8omXd44XPkTwE/hs3gLXXrDMjpLWO4ms3fiOHyETnqVe7Dtzx2Hb7YaCP3kI0xql17BQtpS9 Zj7GqFnngx1TAcw4Q4ZB63XW1q++NrTYV3VUCasxay2YTFbSULkLnh7sylKs0wOuvkthqXk44EpC Hj2/3/nJqFi3gbMPHJM50s/ulM/X/ne+cr2FLk6zG9GMtGYG0Us0qG1Vv3uX7N2VBgnq1WXVwtJ2 bHXbfiQS5AZMf9t4hSoy5z0//eGegUnPuENMip4G1Qf51/Xi+19boxpmRAy+AKmn23fZG+0Z1QYD zddPanLJtB1Lors0ZMZLLCGbd9Y3Gxveq0zWI1/j7P9tu8D5xYKsqu7XG/JcHvG0qMdG6ThWHjgy E0Luj+H6ATtFIcOyAl7ThbideITW2UrcBDSgkKngNLPRfJLYLKGzuyF4lGi1K2QVMnK1Adqn2PsB YlpSqzwWQt/QNX6aJFxioTmzR3LHltwpnIf5X6qTEYQI3yygpDqdXdDlo9ZS0JTnR3Mp4BNI1gBu M0kC6bJOYN2XwjpSyejyRLNA+nnnK4Yb+ir+ggDr17zyjzeuKx0UFv+rNKyoNe2lD2Qzcf0JgCyb EMdkevHKWjTNXbXcxusPyJOkKe1DHs1ZXYEVAFqzzYV84Jnk8UmTEMTsYp8L7YhvcmbGceBZ/pTd +7EAbHVm80CG7nLKLweCEOled3XnchrK5eNUUcd1/+NaOXlKeKFkGzRrxX3078C8YYFs6wyjNAbm mTMcYwIrxQP86aQoz211rWZeDEfkrl/w0JDOxhpOxabQ3fspNQQLgaA7mWnmUub3ZkgMSwVCAs65 oeUejIJbhXK7yjA4YzqW+ZVsFOczaRl+10Zyl41gRA9UZQJjziPWolVtc1IhK+3BWZxg2MhBOvG3 5+zYkJ7mFeOKIhqEvUwhtseXVdVhIazqcc4FZfgn/fbhE+cN+yBumR7a72KcB6VpiGhh8gMtD/2/ 3hTwWMJI7ugMjFG+CU105nAqDxRXTHYl9FcHIDiNDwfEktuCyMenMNi5S0B9GTLHwB1L+wcTgpRb xT2fJacXDhbUv4tPgAs9HvXuIS/1Qux2htp0lpSC/iVFkf98MgCMKV03hi/BF4oevGymNXsl92gc 2mkPpf1MrkToMtaCLuTmc7/8XtFn20DMPRNK2WxaOtSeTBCybPw2cHa2ggN2Q6qB1YxbnP7VkAyW teM9aAaptRYayyEEfsKzxUzCK1eS4EKqLPSrSNBxFra9M7k3VmmK8ShOdx1BSb0R0/bOKN81oBZX sP2LXny0aAH7cbsYaG7ZakuuzlwruhGmYV7haoAbH3rw8/j5WWwAA24CGldI9LY1URuQnZlZOL9p TWaFvj8LSS70gryLglyWtz3DRl7s6PtQ75p5cAyjOatJJqdhpAQJ1UFWzEpsYll0ggxPTqDTNIW1 o0VlHxq6L6BH5iGIVNDoYBWKzUMKja/IQFzBkYclT0VBBFjJEgg1WOaDTHhni7RH6c2Gyn9ly4Ua gZj6xIrcwBkF+UlTSXw9tZF00BcckrC1ojBwH8jClkgBuQdlEkMLhZBu6DO6QwivBd10nkC62erS POoSswkde8QJehneMo6dgKncPadNMSmJGIQWIxmx/gydA8KPg3aA/ZKoBLDkT9L/Kjub8Z/3OUrw OkDF9wJOmoFwLfcnbkouNI/nIassC05VNRLB3P2+U8gM3wx35iG5ZWm4RHHWadPhhFm2AmbWsdGo BcLXUhQ3Fg9/A5zmqgzR1GWEughiQ2olok7dX4cnLAwzYZ7QJX13CNVcmku8fSQ8FgsAzquEcgfL FWW+lDy8ALPsYyVurc3XVV7TObk1RWZKEHjvvHr37+3Q8PNoaPuywkG0Kc9OHiyFrn3m34MJzB/M ZaV9MB6mhNCehlxwkO6KgjtA9Rk2kCb48f9xFwD0Bsgqqhze84bH87pGBwgErXYaMT/PKjnSUCjR nAhUgIdfEY2x41JUYSG9Plohq9PIztPHhgyZi+h1hMlp2Tb5kc1M6idXutkLKsQzBwjO9V6lXb5g CW8ROhmn4HnLx5Xt/DCeA0WIpQ6OSkQa/hIxJSLDuSUFqQEV1xZpZr0WZ61mCZRChvZmg/4wDOAu Llmrdx1cUgTiTlS/EhOFjEG41M16+RO2LwRWqKT2y53PA8ZZarvg5xgKqDhnX+UO4OLs7Ko6i8Pr mZ7Oe0IeYdpSuRrbKi4jeHydZSRAE4J7+Yn45E3tUTkS1PQFsMniiwsnT7HViCJFXqGoopp90nfi /0KAMDwnkAINjNt40RweB++hjukcwdmDbWSpbXfq8Tf5kAWQABnCAeRruchzyry6imTC0QwkRQTH I9UyH+bEYgTvRosPVHQa6uEplKUVIryWXisQqj9uu/KgApfybmajYtQnsncvqI+bF4gQOYew+/SD QglLdypf7A74ZOm+wrOsl7TQoQNCZn+KqmSvwa1WJkUmNiYcxUBer4FZBxtiburVbQHGPtAHqYOE p5rAepaZfTR5rWKAmpom0BJeAkCRE+JH3IT8VA4LIKC+FMO+Sq+ZNqpgh9im9ea67nxzZXiy3TiI yXry+NCFG7cb87TBADHlm+s24urXWr5rqoNTqaaDituBL1aHNCmy17faEteqkNno0wbjMI9cu4mY tvWG058UilISZAVwvGNRi+zj8WBfZoEpn6gnNlremRMzRhxa+e8CoNfYN8qHVY6m6nHSkH6qGt6G zMGH+uVFXnG+eawvCdCRsTJXz5XGkJeRb4+snExVfpa1Tp7XMBChboKOgalSo+1Tks/dreldW7UN zLFuJ6BXUV1ENJg4eBwtwVjddAyH/KQaVWZL+tv9sbRiKc+S99SKwN3c3f+kfSGOAgwRc+i9qh0y lzBt4gK5IRTBE7YfAulixZ/uxwxUrQ4ofw5738kStY5u955b1ELUkF+pxqTPAnUTNeTFTVx9GKvB YxR/tZPUaMvh0YSFmngenFwCsdMk6yebHnae+EN5/r1w4MMHwAExPVGPJzuVtNaFbmOy2vnQ4+Pn 0KxCuK7Cte9sm7KMy4mS6A97HK3QHlW1cYV9D0hawWkiETJDQos5hfuKUP+arKeILfYspm0aBjxg 6O2JGzX3grSRfwF/OAVrlABx2tm99APXmUPyZIRzxScMQ4BEowM5AuKcYcIdW32dJqTw2mM+Fvbf BtFhMG9ZnaTmbYb7KL63NsyVb37jSY8IHi6lSwMhUYYe7DZMWUgSTMrph8QG4Si9FAPECjaqM8WT 7nOcfmNyuF/8B1Wbm+ddEoGOwF5jHpC+afelijV08qJ4G8te0JD/j3daVTk2yQZ3teDTK4+nOZ44 lbXuKa8cPjDK5UGYTH3OSsqdq/iwkZO4jg9vBhGTrS7qwHi3inVjkVUF2mPDWzsTPflywBjRlTls C23/dyZaTybH1gRpwjiXcZUR24ZwiVOksV6DkreIEfiMsxcerLGZMIjFz9j0V3YLKb0tbQOQIKYn ClCGHeBnDlE/80l3h3etDfrbSP7P3g7Dy0AKCMJhzxpNRcXKK2KbA/+PLEwdyvkrX5ZmDOysgocv EQf0SlurTtuOBMiuiuzoa4LESDb47EPnUUOplbhpHxznhFCOn0VZX8fFtxrQpzHI5ZPwXk5fFi9m Fah+/v/YbmFkEfJeVSMdjO+YkmuwBzpMwk1LGGNlYm3HalGMUxydhmNW0jiYKq4+tCE1G5jz88NR m65cmW7UNgBq6uQq7UBO/gE7q3mZAqVYMAlbx4z/pmDX3GBWw28GWe0zzFY3Keng3idneyCw8h0K EnSaJbgm0sItu+E7jNTDVS0qQReW9/hse2kEray9XicZ61DJXTPnjandqiS4yB065M60SZ8S42q7 RzqTpUJpY2dC+6LXH16Z9tth05w7F4/+Y7eh0Cmj4c8eun17vXVwcbySJ/+KyvBZ8C2Jk7QIZsEy EJs8MfYgDRcpA3mF/YJ5uEFKPlwXGLCU3xgn0vgwY+UtUer62JzssK5RXTW90ql5awkTmqwkpAl3 K/wynr2ErD5psDWZ96a8O2jTCiykpEgaIu4PZEgODH7pYKKmcnrfb5eUZw4dNosgFPZWkXDTzbSi tqptBoYp6qy1VyVLN1orMQXGR2Byoqlfl/LHO4a47N0Gm5HYCmQTw6N8lhJb8otAPvc0gXdCEFTs aqRd/XYDDNXo1nGB2Axy4oA3MjgQp+9nD7L57GSPLiRh4duCWSKJJFKJrCWjnU6GrdKacQ/tlSJZ vcxXx1AJ7F3r0MIBCnJK4uaNWaEna+r6/TkhXkbwbyXYua4yVNutaVby1xIc2K/WYoBC+v/nzoeH 2OORV3s/cupXae+MUMiqmFqAHnTYVZDi1k6QYy9dv8g2wbbO70PNzJ3oVdcxV4LbajKbEqCehmt9 ZiX8RAdakXJWwC1B7y1j3KSu5lFtOitJOxsOuq4mAobOPczNuaoHPjRt8nMPxqjmrUiz9NBtJ6kf Zy2s74iyxPd9GuhzyO8ito95XrUO9nXKV6a+Odpu1Y978aJyoC9P+aWVHi/3ZFEeqM2PSNr7ERnv wVsKNBzV1kt3GXzDB2t2HJfnYo+2vNa0FKnsz7Gqidi2p544GVg9ESfPRXH9SPr/iuXCCmBfBLhQ vtrTtPh3xbATbIybAU57vk3RPOjs6rdWwo1tH+pZ+87W9xTRSu+B22QqvsC5KdYiQEGtsO0EnxyW PICBBcV9bucTqrV0kWZ3TUY8e9+seXWi64MTMPCict5sHvvqbZuHpvKUODAtFJCGmoBFELRZVmtu uM3BHpdrpBrctbujTdvvBLYuocBmRxnT9J19FlpnwUj+AJZGXKTlmgSLSbGOL8Ss6A+B/pM3qU3Q L/s6GAs9m4B5a2MCSHMB0H0W67fzjV9eFlZ8XkO36QuK0PF4BE8gUanN+eofrsOACQ3dFtoi/xPB KoBuUXz2bqULS+1qjz4Ld2Vw6+k3yFb4I6E7nYUjbihZTYmQ2h5SbSaPS/LErREjR3IKcxGB4SdE FmPF4/eduZdLEUZlzZcdUMGJSCnDSt0kW6BiDbaJGk/hNKOUXHkSamk+ZU8G3a8Mj+CbBDlPkE4R hZZ2ppcS2rcREXy7fTFBUIT6NJu5PyFebJhBVq8zP1+cUZ4TUxCjYZ00rILe7vLW/v7MQ7pjqK/X itZLglM53KexZ9NgRTpN6RlHAQW1TBavRT8JX9/KrfrzytB7N7LGVG2E/FjuY0GOLvBOaACsmuWo lajb+dxsC9KOew7/5erHGsFDfV2AbibwM9raMzpS4qmuRwlNgxW3H7byPs1o3zZH9mUYPV0jZFOn k5gmvTCvYERCHDqpaNeMzAlAoNjGtOfxPDPQ5zNk6pS3B5yUfEKafg1cNKJi8IGh2VP1tiZVGykO IthRjlZ/UpyaLnhEtzEU0uK4Ofi9VWMWHxXTi4fVhKC0zYmaUIDEw3vnaMi0JXDcPv7chGfvdKd3 ANtC8/GwfPNFYYzgWkznBU7mKczZscVj/biTMZlNpabRdLIPcJ9e3m2xo69i0xW9Lwyz3q8PrBLG a8zi6Sqmqq3eSfQo0A0py3XMY6lK8S4XJK71N6vQyCZ5upHLCjvmuZuj1FV7WahxwNM5a4icMfgR uSVXB/y6CCL4eVmeenUxc2DcPxUPlDGoeWHS47eFJlEDwL1y+1dPELb5K+HieG/YrDAqmNAIJIUk I0CfsDKF8OVlb/u7p00nbIvE3WgeNdMxpiAN9tXbv65Oxp3Cctv1r/BJzbkVxwuqTxuOOUccwBjp +3o++M3jv3imVigZS1c6/KO49uGsbjlBXP9oFZ/TyXC9u+GwFCgxT9Cq3NP4tdfC5/U77/vUmOkR YYHt0obI52QHIRG/4ED+HyjAhgGjhqN6OmMEFW2EVx1qlCEC0Nr6WFMkSUhOh/mi9JFtcSM4Slp+ dQBnIhWOXaPwk7uPH4mFePw6v8hZJ/Rf20KDJsbBdj6mBVaakYuzyl6cK5Rwq6narQmv0xI8F5hm 0FadOQXU1VV9hAFebv7Uk9z2GDUovmAp7Rgf6k4OgabsQBJnA2bkzemzgbVeFiQ3n70G2m+5fvo0 ArtZZeqlln++N0Tgo7rLXTXgIFBPzWNUrkTc0A/8i6+cGJnTs3HbTunizFT2j3KMyaPTt6jaCpjt J2NCX4M8NTl1ao1qoJHFJ+f3ms3POaE006gi+fBLjSwwYfshFbcNHaLt6w2QL9i8OcZw7pxSOwQV +c1/Le6KmgnRHwuE0SSzpGW9Bjd5SquoW83x08vEmwe99gwM9kSFK7LZM2xX+y57FkW3N9EhaZzK x+NlnOvNvxMf0lw1Uq/CA0+B/AlWQhw7g+Mi3rx1+Crho+naSplHM/KVyTAsmFZPR7/GUwaacEUz SmQ3njw/ScpXUMMLf5m3M9ZiO8PwanE8mmXxdP/TaHLxqcFKyngVjPR1Q2zAttMJ6lnLLS2XEgrj OCwc/xiHj/1uRTtkzAUGjIqVPbzITPsf3ozQ8XInMIoE43/Ryd8hWbFfLNNV3NkKcTXRyVkNEFpX JG04J4/5C6D4848OBm36MSK0tzMrGxCbxjf2NgJeZ8UFrfZL89GRBSvhGOKIFtRU2JMgC3r7Iy6o BMIAdgkfJmFf8SecIjs19xLLmB35s2ebMhMd7nyPxLq3XWqFEfdCminoiWTgq0z1n8k1fOVftuhu reih3FWelvrHZgfGHMCYP918eNPy/F7NegTGg94hw7zf97JrSqx9mbF1tzlHFRuLmxA/FZe+rlxY FFu+Em9NLYMXqnWHNrhyG44b8RShBn/bSvgoGlWXdQKsoAhXDC7Im+Lt71nKzEsvTFaOHWqtLCPX Bj02i9dPUDi3jqAzo/Dju5oq5g9jHTLoFjYbsVkWL46wvx3wUmpX1PiiNpjYNbYi+nt/cvjLirQh Kq8Lm61Me9Do0VqiAiKETa2GMr6tUBw1vC2D/eBvjMusT5tq9c6rAV07F3/5R7eTq2Y1uqjLc9OI 4Kj76YZPMiADY7YSZKcMdFbjoQgE4NW/Cj03o4TaYix+BNVC5yNSYkFlRYz23RuqCzBAkEwwGgmH oVV1axVDcTIwPp7TSj7AOOoRmierXTumpnsjgC19U98xVWjRtZIyIQaz/eWgkLmfOkmIhOflbMUg RXePDs986/luEtAt9J53Xb3s6PMKDA/Fh+zAeVmNo11XEI5nmXYkiddj761KMLQ6H9BxLFwAa91S wDuFBXZjIy8AeYQ/On6IZRVs77MrkM7TssHfs+M424iEk60/7zRwaXrfoE2JAPb9hWAJMLTETTfw 7AviOQdqKKeXDRzRqrL8y03HGo0pxz9+erbngzzs1Yr8W81idilXZgr0blPs3M/5s7/MrSl2q/KW N9BvZbrOlbVBygEGnZ3gH5BieQOw+lEroX7lMXnENBiuMo2xeOdeg9QQqvPN9hcjwSlMn/2PmlGh T2t8Z4HOdgsgU1ZM/lWCcv+Wda5DoriEBpaA1s30XLhbcRtYNHWiCdrSzZ2LmYP0CUJ8H6iY+ub8 8KIDJpRsvof45yy/mhQEoZIc5p+V+wAOCbYZlYcc1KB5srbPj5Fsl04W8Qv8ixMgs1F1uip7fhps Wtdj65B/G3+M+olbJNCNy3ilTUqNZ6qaylgPn05psqgce7tl1x5+4NPPKPchlXPDldpNaw0zKeB7 rvYXjq6Kk5+Rb8UgtaqavBS00kCgi55CpCuJ6evt3GIgNuI+jesugJaXyK+pcalKKeZ3pKSk6edq 3PFss8ChKdZuX9/LSVrPLYXjKXgAAeqvq/oPFrZR/ZAB+alqXUn7amKnxdIXDJa/IDqc+yvmgLVd 2l41UMZwjcIvMELW+B3oSMI/mrEesJTwBcDoBoel9g7TrLpxIJ8Yb43WFhbdAoeQRWLyRK7VhsMj zNdr5wGdS7jjVAW8dyAXIkRDoaaUwUjlQzcgk7td8hQwVg1SJXQ9LfNRF+p8QpweGf7MEzd0xLWC n4FOLFfAUAE0xi+KksmUhOOzsUmYQMVgFyC8+Et2SHnqJ9YiqnDTDTvsmjO2hhlLK/zhK2C+exlp Q1Kjlpg7xBIZ9MIz5jFDRfde+C2poQuRm7hGy5+6EgT1jyvgZbv2e7lxB42x3yJYWU1aeyFAtpAB B9lxpbMHYPFm0Hm7g5lktLYn5uQJBo/Os3kTMzY0LWUvZcWH9hVwzvAmk2sucnekwj8FdtkA3S7M mFp5l6rVmByHuBi8WJ6NVRTTYN1boTLf1ZJ6FyhRySeEBwK1TOsL99RbyXJ1NllXL5EUyP7IATFt IJtyxzFFa2FuODJ0G8mwXuIImuM0Rbik4vRqoxcwKSngLp6IWChv2l9IbNDqarTDRrmbGjvY/Lzd K82BA4ig4O2DjDY+SrruXxFKbEOlkwVEAlqPGfXpc/13OR8tiXt2hEYB4MNkMxT1QY6gr5EG01Yr HIqf9xUB5ZntRgwM8OpdP1ZxYmRRB+wcSiSZta1Y2OB4QjSlaZKWNfqVHdmo3fvEQ9o705NY4j1L asKx8z+ndzh9R1vQdn4/CkfWk1gR3tTGdSEV4QvqITUfMzprb2ZGiqU9j2WsPB5QDeVJp8XBJDIh D+GnX/47NuQ/SpdUEIr9aoAn8nBWmo4fWwh6pwbi5tfrfDZgHgmEa/j09cd4XGPXK24k3+HWi+06 J1l3LFDZnGxrNx1JfmZJ0d0sLzhNrIZ/7pIAPG2liovmSESw5BDgk+L3za4FBUQIjW6czCZUAZZN bY7NF8L8kcxxTqOybO1S7zVYtH01aqDMtkXd4spOrI4OeEmobtrW6BA9J/PKfGlDqw/qoVd6/eTW HKhfKOzHuRWIuKCRd+JLTsMSZOBaJoQJPGF+GYCXwmLH97qeyVuRW8V3GUZjE9erI7CZi57zDVCj vr6cORv3zkd2I4dTz8FSjzPXdnsmy4ZRLJcmDZ/g2VjWgHRtLPi4f6zUHctJMtO+i1GeijyOdME5 yoGUFa5CynBE8Iwzd9AkdrVKflO8Mgpu6R9igDshgLls/Xj7959JMF3HROK9DFJ/ohu/9me+u60v VNBWvm/Hqq9hShfH0DfcXGTtlVMiytUt+Q+5oMKe4SUlBKpY0ab6IssNLDYWnI7xOhhdPzVa2U31 zaSDkV7ItH2SY5qIm9kaNaG6vMgy5YfdhR/3S7iYr2091/2+8nZ4XE0j4IweoCtUqJcTPyhPCZVy zY3HoQh1kk5KDEm8wrQshd9wmoC2HGbBW7LSFZoeclgMh7b0pbeHPDT0Hksk4uUJlph//lOvi1JH TQu9KHiERA0sn7iOXzGlUpePo3Zj+8wzBDnfon6kqfBINF2+e4GfKuC1gWPmlEeJ1AUWe7Q83NGQ 6Ooh89hWpNUSliO+/B3IfM3/iqSkzpsgOxEg0lI6rTWFS7ubokfSdn3Zlf0Y0Q4cgDcZhrCJh0n5 buzg+MLUstoC9e450N940zeUckn7VeLP54UNXk300fw6sKuTYcmNABOyBcZPC3mibS6L1zhadvDL whBK/fcikb7Zxa1k9tbMbHeB9fT9YMCeQtvLR01Jztufnk8cDr0SukXbm1SkEePhq6Xka9qzxqDn wNq3PfhF/6hSui9Feuc8+2+wTKgWGxaF8iuXuDplXSqRKMuakm2mGEgMWyX8H4PwnjZXiKjO28Qp jwiRPIPQ7kr/9xvMo4nOl3fpbc94MHfdoTNFSlajChHF9AMbCPveR3+ie1RKX58IoTR0aphrdaiN DsxJNkfXJCrgBNQIDciLsk1rGn5YvyDRkMc7pqL7BJvxSbd04dL3FiwTpaZ1rrNVwklY6Ubs4Vw0 nEjp0XAXLO8EhEk+WIGqWH50drbUuybRXmZTr02ggscAVJjjctghjG5Xpgz8EN0VDRLj/IWAbt7u Ev9LMwZSS4WeU6AV5lYhwzKXBbhzWCH/h6KGv6Aa1u43By77OhBaTEL/YPLEqujNn0az5aBqmrGd sqoIQgINxYUrzdwEVQe0JClbCpkqRDjpXreznoOcwi4tCwihu37YfhyU9xKGxWHaYdJuMkYwpYqs +SLCpKsEeUIgHgwIpoJx9PhKL1BAZuKctp/Cmt05Kit2gapi5cpAbgyzPfTcUiRwsGjePv1cLVcP BG/yHJ45FOZvE9rKOVVYOxQhu3xh1okacVww5Xn2tuiTq5v1Qv9gpm+Srg+8FaV6BaiDwOVNAcwB f8NIV73rg9d40IlwHZbr4zfZ+6bHSqnj6YdF58jqbXIs4LXvTjoUGt289USTWEtDmu9UMGuGPitN nRkpoxVmJbQgaxIAvitW4T/GonQLU+l+wm5S2Cee1X4K4uqGatKkR0SIA2bEc+3ee03J0ipdv9kP gYjmEpg34e2OJ7Y1yOhlMHNtz9JV3p1Wvz/mEb5Nl+cHu5bkop0znPUW08jmOBTYVLQGumcqDwYW ku2IKr81N+N9vbTmOrPgPVqSsERHzwp90irR3+SxXoVVfXgyrtzHxNzatK/k4jDm+snYOZxQwo9O A/rSMLaEJah62gd9wtCloO6B0IPdrgHojVhc7CxK5P6SICINRTdpRwBNyRoqbuX7dLYw1ghtqwaM odt2bA2nlH8gkR2vF4103/Vla7hHgTKagarkpToNX2FHyAgTbzj9lB4lG4J876oc3YMd1LHkJq8H wdd5DhYOb0+smm8Z448TP7dRfhzjoCu7+4PhRsCEcKFx3QNVPG+qOy0ttAFyvhmwVZIWIUSf9SFP MzbqLghNXgyKDbEzugHgviN1KkkWDthL5IkcNgnXR3gW01d/Bo64WCG+YldsnbfvibPwk2er9Vrp MQ31JxDmXztYeQk727iZttWftOZxgWQNBZ8k74MK/AiRAQYOOHNz1aakGZ504n0jTepYfZVPh1Io DeVNiVlmXvBVWWfWjakDwqaynlbJAD7UhhGMFVrjqLzGcRmzBZyCOeiOYdXkOGKS7fQyaNOP/4Bq GxWlOVKf+oND60KhT2hSfLcYovTSiAjyDMHBglxSE4slNNqIyyC2RPfU9WJq+g5gm91w+BhNWlqW gsGNX4SU1R3GyPO79pIL/ZISAUkENyuhcZTu5Vj0dVzaFWaAhCVqv2hfGe4o+kC8G8SWJcSY5L06 pCvyRmBAhEvDCBnh5xLOHiKz3c6q4jKz0EjJRNU2/hklVFUVPZyQAbSLn7czKqZu4X9AIPIkCyiC +0anym0G/nM0AKKU01AOjbb8iSGvLtcDetBdyMzDLTyKZvM/lpxCXeiaHIq9rkTKSCluHWHqNDbY VINaTaucGXEEXMsqeAQ3O523aJIiQCo4u3eJBZJP+I6wKbkp2Ca4RDnLiInJHlpn6jKS75lNYFCI fJkCPaWWbHtyZJlteyRwqL76CeNhKb3mQG5wirlBGJXTvMDrTRq6IGRBEQTY60CQMN71gNWvHjjA fU4VlchpbjOBOzeu6YZaEpmNKLMTqnUsAnGnHpTmz72FqEdWpXHxrQc6CVhUYwH0P+Tp+nPEHGuX q1+jfkmft7C3oOGs/BZbyCwq6pWV3VNtzAnIi6TMHLGrEU4RU/MKZP8bvyVPMd9OHtmJl77u0Cc8 6lz7wIFRT29o2mc7neTktxbJGwBzHGOk5NPayDf3ac81seFFbGmFTF42z20mw3t0QJEJvuRIJsHj JXKva9t6Y01lfe+XpjKT6nMz00pFUzTTPKnnf5chSsYWCxw7+EprbO6WLdLAfLhTtDUFd3mdqatb g0Ue04Je5Wy9Tqvj8+EFF9DLqmzNKxoEkBLyJZYnDduncr15ogriOEBS5Bljv/RwBiKbqqWNHVSa gJzWSl0fIBXzGgf3DE3xHGaBeK6VZ/WRw3FVYAEIq2c8iEuqiBCgl8uWkEJoF4XjZyngu7dMB0Ev N0c7IDdcL7bHADHVU9tlJLjf8ctH0zDBeIUNzyMlie2iAmoSW1XHCk/JoKbP2nITFoCDcgJhNXvh +w9io0iZeZHW+T0h96sUjNJYsr7/6uwcYzDZY9b6VrJdzXf2krgJmqTRmwryzVVirBjOYb7DX2YA wdS3AfjszdMLI44iklzPW2nryIl7KbwSmDKbnsfaELRdPlN4T2B9N9IItcA2WaprlePgsVe73vjM iEk+ep+NhHSh0jlqyBTq76bOSY8bQim3TboRF0uuzeT+Kc1VCnvEQ/VawQFw2Ih/gtC72CKWY0K6 jO0xaZZWv+eGu8fvXIY/o50RtSJ59NfY6XjBfR+BoFPS/EysMsh5kw8h59UIVe2KoqHlOLl9+ksk iJ1uGKSdBy3a7mDYttQzr+7hTi9pbgpGixvywDmAsYo9meRLj2E4sQCWIeIUZ82lIAYOUieB+6iT X9aZxED4WnHbQ7JHT3vqLEmE966ZEyPSpC68GogzSuZ4T7VyPr/JuDC0DHAcdLaCeP9G+umtJRlL H6YGWsZBMe+nekIdLP935SJx6fPVwtjxbmko4F3OrSLbyNh+H0UrFHXuqSYoejeUf5/T5k9e/6km RFDQZOtmamEPjeuQnNwYE1sL5GNYlz59TBmBw7tID+U6kX4y47cvUbP3//ooAfmg2mI1qUWkvKyH fkH9XN50syPE6lM8BkX0gzKJxGZHgXu2T0UWO0CrLTgglSfEx0tlLBV6c3w49xiNIQF5jqez1Oo/ 8UHQ+hLCMZ4f2MvLLEQX/2mVm0KbzpuWexIrVvmABlXEL5ik0m7kL7EKpzHn1krbBatQ9QnB3i64 yfHk7i5YbjlMCcx4m5Nl81f6cJWBNSa26hNyLu7o6naQy9VD7swf2QYRKFJ4XyIMFLFIC9sUgHSc imyf/q1kzIIXOg3r27fJxgj7ZvFI0KDd7uaR9Cw8lMmIukMEcNWRBgxA5sd6NOsX2ICdMFqdR4eo 4DPYYmmkytfubzxSAKXUhqnUd7yiHRtrt61xDQ1VvqhXPE7Cnx3I2wRmh7Evx52jlt28vffreFP2 Mg3lPxYqGh+X4rMZtE8wRDH92fN/16aIQaXBneG1zyhIne8hVU1Twl9ruHQcRL+u1alW9Bn7cXDS UrTypIsEuxqN72qu0s+FMKac3P/Ov/Q2+w1WmG4RhyPY+q/Z2uLurkP5ql1ZyG0k/APuE7Jwjp8y KgpUHPcdtZ0EX64q5Fpc0mSHwDBtTxRG3aJVgCSGGv/tz0qfo0MPLkpWZD4iiip1MYljqgnMyPTV UlTlZPlQlUxhu1z9MEcLioQqBxAAZBDFwj35qqQjAAXMKNuqQyyY2N6zHzL55dzUtluAgMfjwLu3 LYwbwBPFH0dSNzV5MgtDHaDOrk/bD77/j7Cv/XRBRWZUlfACRuamkwb6y3x8Dq1q30rMiISTxelV OfO98qb+iAb8zhUHwIENuKe8DZeaEYwoSVApW5nYgGlHf+UV1R5VSWSUJb34pu16PvTPt8183zE+ HYuusXR7SPVk5tOrWWaK7mD9BpdbVUAB/OPZFgL8doRbMdiiCGxf4U9N+VVgZj9/IUeV+qCiAIAM lT1z8PKeIxtTTZpnjSJ1gcX6QD8cBSDDtjZFLurQL4Wh4CNO8sTDVUY8qRM63fLGVHnUH+UWC4uJ qhQxlhFY9RvjSY1ZdblDkTjcbxeziIUoZNhXhVOYR2CkKX77vB2KI//GBlp4HMUBOCXMAB1tj73B wXGPTvqHbiH6uA7cPVgM+ETQ7aS2aymW6QiLbuK4cPKkSEFHqEeopPUJdrZnLVjqSbrWGLAgjRwy 3XrsnKdznEQ0SUJwE/IpFfmVrxnvgufQUbuFeo1ky5DbeJA9fxn+MxcQVI9ACR7AV+jtFtSlHn/B JnL/RMOWCjOg2sIBjgI1VtpkJ3fcS8ZTgnrkKN331CIpZltqV4XeZf8KhHrrc/8AipivF91MNR/D mS9sS9knCQrnCikoBD+R+bJ2g0v7tN04Hp308EdUeJTpMp8UddLJArD/bV23LzcqTTN+EfNzUkp3 kUdVA8X5aOaJ/0ByGs7kj0wpYUhK3IU7h4SLwr3s7IIWw/aDuS33ycn7cn8+kNYHCiJzqpIdgUXF ZYRkdH4HuzBAu3dZoowYLtav4bF9TNUH95hJfY7QSq5VYa6e+Tl4UzpBo4l8zMHl+akk2mBnt7/E hpL8kAVRLegbRnLELQ5Bktoyd2V6HL6aaHA5hDujxECH1iYF6Yt0Q0V2INXcfTnTKiTR8dfx9nuG t6vnDiMPxbwHWB8YwaChEOUUJeSuJZEK9ifyxIWuOTAvL2ASEYBNTNs2HVn6gexW9sijcOlpVaXC ig5qylvXp8JGxturXiTjDbPQ9GmtDiDorfNlaPH8e/UeMBnkUfdiHlzIUF1G7BF27jj2AtCANIdW RiLZfz+Qi4Za00lj+GDr5fN5vCE4LOaXTaovijFdw/A2XeDbdq4FEYAzsOKGyJDo0ve8jmlH6jTj TyzzUdsRP0ug350/7HGX7Xawbbku+pTPQJUkEvbxM9TcfaouAHDkshdeEx/Xwa7K6GyfBxrRC5nK 6Hbr0IkC2iCQqsO27Btt+GvZ920iNxUaFE7qHh627FZuPHivS2Vz/T/FNrN0N1G8cyqEdei7du1Q +LyzCfAbH8ZXceG4x/O1bPkJ6I1mEcvlyr79gA10RYpJHfuRuBIboBxV74UzQLDkTz1EtkBEJbXm be2cOJekx7vJDSfFFEzNfL+ipkYUnNikKizBjsr43Y+qTO1Qk4d1XBzTu1XABT3ZFt7LqAgeyPrc 5tf5Sz1+NFxSDFaqP1NIw3UOfo4yPs9WRL75VWNSYLdXZQh+g4nW8CyYFTlmc9JCNxL8ZuxrBjI2 eDn76G7eafbK/pL5m0NGj7xG5EkCvZT4eyJUAaKpQ1Ngmmau98IZixvdYIMsrmBz/xksE+49nTfH dhBYoHw4ULT3zU2kLrhIIpoQnAWdJbALdJ+Lpzp53/acFm1bHCgLE5Gt5hRD3UjpgV1vu+ehbAzS jm/8Gkrd+0R5qw62OKe5eSHuMzXgIqTZuHylu3rxoRiAvf6Ww3lIYQhgOoF0HRfpKbfJDdrMJoOh Wy0Kv5P3Xoc2ycexhmdEnKDbJ2oVLOx3ztW4IajHmwoVoPnR5KO6DFWJreJOgEfDYNE/SmPUe/yw JNjSfwKU1n/oLvXRK9q28kyBg4KdvVw8tWmvUGCqgCGKttiZI5nAaJIjuKaHN8IgaVjeAztK2yB8 PSFDp9CigN7i2snIgdv0UwZzfW4t2XFvSQmRsJaFZHFjNbsXWY2wP3Iov1at+zNNle7ot11csRHl tFLUFubwJyGwU04MtgSu9Rmk0pw6XaIzfNw3Ntg3v4gIsXozDzSBSVdGpMK/9+mVPpaA9LbbnOAf Q5UZ3fH/c1arIKDQEe4qLQPs9Xtf5N8ZuMC40wRq7mGr+j6+TisDALs7rM+lZEjwqDz402+kmpaf B1fADvxghK1+qGh4rke1EtNz8RN+B2DYlMBcpmj/21iNWdlIArcO58P3VlhA3df1gq5ID25x3WOn i5jeiaDE3shKwVpyOScvPJpZyOb49IMGdLPomUyQ0xqL//Zzwvn/E08P3lj91pQPhMetBD2v9vX+ hUCZXLEdYbModQHrF3E6ZHkAVyXdbyHgqg1Iov8gNmKFHc6UoZeItnNQQ1pzPCYVdGhPdYoF9xYt WUDCWWmfHVIoZRdhQFrW83hjDa1eq1f/8s2JoUMKgMZKnz7GvTsX7ks/kuVs46sOhEAOsygjJ/ts Sz4U8YJ6DT62kvZqHocFjTlCyRUAJAjZSDWYYn0DqFNyqLsOg7vc8K+j2cbO9boggOy8gUNEwWao 2Ky7K3FPRblyJ+HMYIK7F6b+8yMPbqttJpe8VgR2bpM85EhCAAofLabbuBSGxrfZAyjC333pMHjk KlbKJFP/gJi+KVXTzHqA58YxXq3wPsrGqZuawDrs6Lkeum7bURPn2K3T7/lKEnUlmlKX5UpsWP9+ e7jUhL2iZcRrDAGQJOkZOeeHGfa6hwwM6QF6BODpw/g1tbX3P0WtotDGO0Et95zJXXIfYJEcqR/R UsT1gAUnHsEDs8Tjwa2D85g2+yRWqoJd4ecGgANc2vTdhlqB9fk2ezDMfqlzA8+uP9cnIqZpyjRS 7R3bKg02W8G3+3JbddqprAtgD0Qt4P3WDcRfpElhgo81NLU0H5pFM3u1c/ckfK8hP4VsnOohXvKK RyJYWHR71+poblx2oV8R7bILqmzTBJ4AbgshNh8RUboIPBwRGhgK5ng/wojr7/MK6bGfJQSt3gif bWPIUjPXofEHAPIAJ/0Pk++qth0UNHdKP/BxGTslIcm+AxvqV4x+xW2o8/KcBKDZp6fvs2cfb83N gSRJoa8iKZQ/6NaOfIwUJ0+63sUv699BoORwxZjX6RDvQANSVZWrxF/NiacDxx3p82KR3i903h1h jv4yiLhHuWxGGIKJS0KJEoAo8ta/LholYvtQXQ01DJY218JLHe7Mrw7yRuASL9f1c+HpAgRUWWXN /9hYzIppUpvXig24pZbZSyzrn3ChVg9gMh3rYwLKTzWIlfqTuS8j2Digz3xsejsyLFeA7UQJzDrk vwxwiiEjusUQ80G87zBonSAUkH69TId5xOtr+QyfCNCKPFpNLmh4SlT/rf55nrQiw4OYRxobAbbk shHcggUFOaf2mu1bm+0YntijYTgWvQ/95Arybp0oWRKYMObMiml7Wp7t6oMH8ztTiDpioZODusY+ 4luhZZXWiDjinMwdD9H3bq6jle7pkxwpSb+MMfjd+iVh3TYIwd3WepDbA3nWyLItfJhzmFAZCAi8 vAjBnWqvLsMAW0IiMhs8SI3/mrZmPnKTYaDllRQyuexn5O5CtDD8SbASzOS2ysJ37NwgYnSFK9b1 dtlF56vz5r9WPhxzJ/oZO3jyIIDvSehcDSXqUt8iqlih+oPto+cOEO3YAzPfTj6ycj/A377ZZOlb 5mYqEw8T6xcS7RTtbIZWq/RWMRIoc1jhWK+oBEJh4mhG7ciUZwddz781f7PpU/6GixRoRbHGW1sR Zkh/vcu47osFYIc/hDrs29qNQICG9xSZV/RaisdfArdTqeqGziY+aqYEIBhEFYwPgJx9a30Vf/k6 KrIUqDH0SAYJGHnv9WcuD1+hvOzsiSr4UNJtIml7vc0GUKbbTToxN53nucC7OQxo5pS+syqWBQk5 14dBrh/+HmHNW6n5JJPsytVJtAqRtnM65jEEq8T9WABTqDxw9zKZKSlQuDQ8lIcvm8QLpC4LLnaP ZIUQcq8BtuNYv+U7pcmPSWRHo5KPVyVxc5lTUSLbdV+LQRGkKAVr1ZPgFg0XAbBOsQrI89zuL2Uf FrQEWKd/tMKRwZUhqMYl1t8J4wEO5P+zUHQOC8oALvTv/B6OmKdzovHubm5TINxV02fnsDgQor2T 2zF40QEBWYKDhKIItJnyuYuRrXtz3qh0j24JMipopXWcIWHbpikW2VhnL5ATmcABb2OfVKj9HP+a CegqcnpN2V7EWuMm9l4yWEqdIlagPGXfiELtN9JPr7JQF0jIRwQpGarRvFEaJVWJyqY/6RDQlD/c Vur8bYlR1AugqPKvewBQn1ZskoCHbm1HR9qth1OusqaVrFrw85rJ7tzAESMVmE1S7pl0ur8jXnQC oOINi/HHLwqbwY8TH88LPRqkJr2rZPWXwWkfjsBIY8M7wJ1dEyZEuZWHoRo509x6v6eQMT6rbL9S 6369T4JBvHSGZ5FKCP8i6qVHktx5xZR6EOmM8pRmqXrCZDxzMD6zohwxF0tagDrUIpm2v0euxpah 01NpS7Wq/eRYj+VqJfZI9/Q8u0of5QNMJv6cirywgasZVyGIVyiMXkuttuEx4X37DXyjASMRPKCl 7dcp7gXLaRv3XPcuwlrOX5fZlVecn36y+I8qpn3GD98xybEffSo95xe9FkfXuDK62UY3rS6y02ME Q3dUCR/igPt7qYAz1sJbu1LZeozJjWpySf3stO6hyCTOveFdzVqkL5mgJJ7/4KyjtweIDv6JwbGy RgYra3FmyShJzsKhlJcprjDRF2tCCyHHFj1JrMtdNQAlNbTkaF7aGBeuG9xx5oaSM1P/gIE42nmK kKTaPM0A0+93JCh4+Px7K7kBbShUYCe6s/p3ccN4NCgHxzEI++S+X9jm6lVFpWv+lUukP4r/e65w 9ZgLW5MN0EulCfaj087sciJGsQDZq0kQTYdHFtqNdwp6RTyxTiKDlI9cb+fMlFyYSw8MEBWEm201 BTI3wB99v+Kkd6ryznH1Ze+ZvxYGR2znDBXZOX46iLKUiFN4KBNcUcu9YpJ/EpOAFFe+nYNDdKYa Tzkei8Oi5796qvtl44lTdTscOJwXn5/siXgy8lv0FgZV7++4rb1SXEyvhuNxYwoYSCG+dsNO+bHd /dRJ/luWyTY3vlPnhit7dk5Zbyi/2DSJj1gtndbs5leQd899DxvuvNFSJ0QBLIJU1a+UMU1y/MHz t9vpkbfOw0pYvSVO5FFYf5Pjz8VB4LgXStQL3Aag6ljiqg+4+UVKv7k07Q1bmwrSH34xRnE5QJZU Bxjh0djXtOo7cCESC1clga3CDA39IroRZYrRsEPOqF4/K9gUxDAzZERJnbPK8tSYlCUQAV4ZMUQ4 CnnQKRrmxw+v43sDg0f1sIeIMEVY1UcnT28sJB2M8EcM/zZIiHBfD3wdztsRuie01aM3uIu/ovuQ DU42zEWWH40w9RjEEaqg/bNI2gN0bpJT0q5e3BbUErRgX9xC1bK3CnpXDQHwJzokLNcbZmq4/gwK KoTD6+2Z+C+u0UyVE8y5pberr48PrSqbz4o8CHYf9mDDI9ylQe6N6xWAnhPLWaWitAtd40MTBEuD vrH7zG7JHLSTuFOXO72NcNS+8oGIKUhFmksIGDXEHSyR0MfAdOP1dFloED8HW2oTLcxI5fyriamh fmLKR8v1AjuDkkr7faRhm2afQTrrXPciBY+h06HPGyA4hbl4p9RzlNKBqBWJ+rKaPmYT83KCwfyf UZFh646Rifkwl0YiTVM9TgCfWYCWHQS+MwNQsCDcZG2bhExmA3+kYx6IWR4/FjHm6N0qrOzFO33D 3xRufli7YT8yVgUCc0E9+yvUtpqpiwolZcyWmBvimPclSInQ54Dckar3XGkx7qbfXBAqYmpsU5Ey skbU2v0LT6eSgwjAczOd3DnDcga+4A2NOe3wJ6V9G9Z8Cusjbq+c0oucBaNuUYI7lH6+hYe6sguS /bLcX913v5eji89DeIwJQApIM+lOYFBw2UE0CyAiz98DHQoqL9u4jMpGzduUjHOXxdQRccy1VA7Z q+s5Nvq7OcK78C04HUjg6ZYU9koF6XwOe/ynx6AKd5MMxrvnOeKqFm2jjDLZFaZgVAF1i1F/1bL7 CX6n7mE9mrXcqNrGdITDN5+XtzYq2J0dlA4XzvJhVq5Oh/gpbQOKc5bpahFbjdlTDfCDSskrmEf8 K4A8gBtYoiey9s9ZiQly3IspwwGPAPASrCnZ3wG9plaiIZRGjkFRCqqMnoezNl33BXCI4HrLJ9SD G1PLvDu+ZZa5kt1Z6nuytK4+QTUQefdsCYk/HfGuyVPZuZvHVC32K9LMeI8vaoQ3X5CmXinfAWM8 TCPQVo9FvWdqsfxmbWaiYi3Kt0AYj9VFQjdzVmtEhRyTMVMIZy0Rv6unUPAb+V+7xQv6wHE3i/JK DL+C00kqGpWRdd5bhLyy6bbX7KsGLjOkK34+IhFCvoawMaGndvQIqwvGLzTZB1M7I9kt3uW3mIEb f64woGMPLi22hBbbgAyR+JipHsJZFqCB5xqv5MZnI2F9EJw2um80l1JYa5yZuVEFCgyV9JDqRErH YZbToY/Q8m3bhJBE38xtH3Ag5s+A3kcQLMOXX5mhFABNe1J718UcnGwW8NqpUfFCp0mFZY+Dedld HnEYjNP7bDHxstdggAthrkr0ykkVD18rGY78CXnKWSsF8S1QsiNL6e9GDeBlSW7KwUR94aMALlkd dgycqa3c7uSXiYCryEzaxTB489KtNmkY5ZXJ2rJHQOa5o3ney8RCzJA0XDBkUIfxM6NFH/+arFOv CF6AhYnSo2o1AvCa+Idt6WetnNNfOHWQYXDmsQJzfvjZROEUU9Cg2Fz+FRTteJ8tFL4RVIAnifmF R+92fzQ+zLG2HrvmMNZSCahGl0TrKA4IXHvWtVcYwurbQBoNO+bF2VRWHEsdjNm+QrjwzgrmLd9T FOXlf2FbcHSjWfHOQELG2hV9wWhNAXopasZ5s0vNIdubtdWLFMHPxtjmdnVkG9SED6f8t7uqCieQ 90rtCd+k+JfHuWIDXeTyHW1MiFv7yVdy49dj7etJyiuTN3Je54O4XRHGo259w7/tyQmrwaEZ9PfN +C3JYvrIS+XXpArNSm0E6G/IvV6ekRbJybSTCoFU7DiK/vH4mPTl64Pk6mjMVKO3a6XkWBtUM6gB Lec3XTmC1neBIrtQyiOJjMw29+4P/U0RRLQ+USSKoUfhRHF0uJ62T92pvuBsu0BdOjbAVTdpWmMW z6Lzr2mSr+/Uk8s5YJHCMsYRVXk5CzdJetR6CP9W2Iw+iDqcWAdeZnjx5Vu//QHSpWcxiSKw7NQX nE+cuBla7AJvTRoo9FePXWdeqoohuiEFd+P9X+r4VKv0XwEuQ8wW2x3bVVt9/ow4wVyY1GT4bZuJ TElGUuFBXgQS/FcFQREh/V+S4lYfT39XFAMze+CTG46mhZaFXZuPLwh2EnLIW2tN4b2nrooJ9Ofg mu3C0RVylwWFOx4XrL62qZ03VlYWQmjklJRZbcd4yepPrPhJELQZZpTW4VpZ7b1ifSh7uGIIkYK7 zHivkKtUMys7nqp2sEqNq7apulwpedpWOMXTf6FHdOMEsf59/ZL8ErkLPJgW050vqAPbwETrTIWf F6hgQmdoniY8DgHJfJ/br0ZJBV91rJqG2kIVTm7S770SKZhAUolAV0LbKFmC9wPjbNnIDbmYUlu+ VuqtU1vZ8s3HOzBP+1AHdFYjN22PkmqNP2XM63JyMlKub5qkPsiZ6ZX568RlEx1FNVzNzhnIpG9z /aPdwGJlfMZtrTyJmPX0SKnbHPRMMSfxsl7OLJPa1oRb+JFsUMAX/05+3bz4RnLjvGMPzpMVtsUx CZG47dR0TANksjfKa53G77LPEr5k8HMxnvoxFbHXRYUVja41sXLsrPnLsEmtWvYKjd659zurIQJV LPd4K8lmrj3Y7vtAjET/nRS4RXTn0I5f52INh6NrCuGjAx2KGPXK7+ZCY0Gec/AeBMFqGilUZVsZ GsWQpYuBURIBxEc5otEXQ1DmzzCrF43dkbFf5e77zgMG4VUzlhefV2KND0e8j5cPB9FzJuzmsURp pNjs4xvhhTe4mGV923WKwqKSU9W3biU5/KeAG0PsaliwTntl/TaOm7c4HuWNLELAaw/YoM+cnpu5 Ynqqwp3RQXb/qhPStzCXhZO/of8rCs2jwN6bUmG5de9DWPfK5Lw4Nu2f/+Oc6pLUQ4E7FQtgaeBi +lNWshvL11OsO7AATO7H8p7BPIRZjKFdeKa/tvymsO85s2gqFXz8RtqKP2Rwh+v7GVtevv414x2F K8hPaWEhiJLl9vAsV9b+7iTbU8NRIe0NuK1vImwHmF2YK2tc0w9AvnwQJIJMuSYZa2Pxp/TuTM6J 2e5ySmV1mh77IffX213iHBfrkczVT2IAKj9Phmlx8ouglDIPCJpF4GHg5OCYh8Fo2j2wIsPSvBRx Si0fUILTwwUa3Kk3UGvV2Sfk8TaNY1nnfogGOwv49na7Ya+rlqbwvKMQP38/eOkyGX82DL9xw/bX WD8xPVM08KxwfdqzdpOp7TUoaKqQcAOAEnLWVd1cm+Fbj19ZRfkwaLaRlUK5AXJMeY1w4l3RBpIb n7O2wCBhvr5CXBAoY2bF+HriSTC3TPQDNw2xAHbiWwdERqSHDWN/N1yuvubP5XnBvXIh2Zl7es/P mPmxvy7fzHP8ZA66ZbX5EZDGfP2s0Ru+e4+QjUiZzkHlfmqVCishnwya4K7jSIcztLP+GBQE2x1P 8rx6R1cOgyb/yUWr+H3n/Pp4tlaX3fhP+YD7PMFffKrhtr7IJsWVczQij+vSfPWasysa0491J2oj 217gA0aEcYY4paK0tNoay/WSm3KrBvOLvqq/sIJpOVghQf5GOw9X8toMoqjdy8pEWGad6y2Pp/wK XvdjIshUg+rMaAs9+x23uypy2u5FX50pWpHukdvojgHZmnoulTyGpJlsA7hz9mK3seqHH0R9aBbx /kZJl67SD9X6BQ5vXWWWmVGEDz3vfGXOEK/YjsSeTN7vG/2fqZP4BjInT8s70DaFuBTmSVOd5FVb +G9F29iI8J6wvCocwMjswDr6SPl8UvEuH3fXke93BKlJXky3ja5FCAaPKiKCMpWW9kp1S+r2F2tI UY2vqZKneEhrwesg4bCFyOhjerRnfa5s2tU26mwDN9I9ON1FO5Cdn4FxhCSH8dRssayclr4pz1Mh SnOeeW54cu6tCpGRJJQYpAHhItGJYHfFzJJZxxz/Pi/1WvCg544MP16IcWUdn8oI4MRGs9GOsnr3 VCB1gn4yTv6I7DM2LYejaA5DFwAVbPJChUriI9K8vOvqIAa2kOFahaMtSzmqNOhJ+AqIsmnQbAHR 8cDvXrVrNKRtZWLdWUDrKKMpW95P1eiggvTNj6uHmOCFwMsws9TKhUDaZd8MNnFKSCQJ5czK5G9O 7JAIpf2ux5/J2kl2MfufQZ2zrqHzKRPpGKi7muJle88mbeEj/oXgs8yOcxcnc0NPjEXfNB44T5d4 dzwetH5QpQqMmU9AAh0s+LVM1amqF2Z4Fp/hsg5H0vZXOAO/n4rf2KtvloKFNDm4MdLmmIGaFN3H RJLJU1ewym0IXKc7wngHo6ydxtqQpw/kmjRQ07u2D2NsdpCvwUU3/cdTuAur9IxcrjN3Gj4cv2Jl JEdvYsnMjS/Eyim8xES5dVuUN5ntuzTsFV9xFYj8rD1VZPM8W5hbMqqTpeKiUHa3vTsqYtX9VO/q HESd0F0+HUuXeFCQK2rNS+mGJSiMSvX35PjMIwU4LFR9S9AspDiGtUYjEfnIuQfvkggl12eOoIyW B9aiyvN5mk/Hqd23faYUU9Tuk3v8GA3TzudE00VXIAs9QZmWUr6Delh8xbZRZbOo2bADYR+w+jvC 7vMnO4VtRRrvsnEHjiuffyNR4LbEJK8n3pDvYzO3gQylVHuMWjXBXr+q0dv79bs5JVHJy2fKfz6+ 2LYNf0HnkQ2W4rT29gIhZDXYPlxvAUslERryta1/WA9PHZDZLN4gh+pG3w83QKDs/izZ5nn5bF9H sXSwqm9WKi5nYzQOva+yrsQ6waQlQ/UgvJFHVKBW29WYuhPRBbuRlfGIelpxhO0Y1PnOOMUf+pkt 5ghAaJvCjNHt2uLR4GIEqJ89iN8dR+/g3yLaRBCmyZMBCKHXpG9yDAouhdkgd1HBhZ14Hf5C45HE FzcHt8y/45+Rb7xQzem7N1KY7oGipDqHNZ8uyolZVXH/5ZpemmmQrUKkCB1NfjZA2ifmBC7X23Pw /mfuu5A5PLwXGcnLnI929iTy0WU6mWkoWZuzUSKzg8oAf/iv0hMq1uWgBcKEzetcFPUj46B4EmLb H/ZR+4RM4IUEPu5LnbTmdmSGJ+d9N/9Ic4X9voDCwrc/xjrOjiDj67IvWFeFWoYlR1GAOtdSUbgS LzQa1cSfi6YbMUL5vRZDwEZSZSKI6MuFA3bvb/QOD8s1GU6bxnUYwcx/feRLP6G7nASIR++dcsIL b3FWsEu4guEdXMJpocNcj4jdb9Hqorcf9jtk+ufwbUWaBOPISWzINAcTNlKGzvLUz4jc9oImwU2Z B2r7r8BkCXYs4tJSVA2a1k/uXyPZGuDIkM7Yj3lIzpN5MKgxzSDyyubvfr5yaC2Nv/ju3aY/WUrz lnzBO0NRm7OKLaHI370a0xj1K3H732yynqh/mT3l7Rccdo1wjeVS5B2E5jz2xYdjuvQRpRx7M/St 3PPjhB+BR2FhOmbFJ+zIE24FUxJVe7L//w+NrUrOERYSESK5/ZRrKf5Rx9vyxIgoMPMrCiJhhVgE GJfHBL2FR9zUha9jEBS43mXtR6eJZ/alkfX+2ovqGMxs7E1rfVlazz3wcw6+0RjLXDS+vS8Un/EC oD8Bjg4yhnIWiTWGCm3AqV9+1prIDOuaoVBjo1ZG+SpAuJ2WEvQcd+sF+ZRqAboTUm79AufeUfB7 99b2YJHXXn6L6aZFP0F5+Z4Rzll1NOQ17mI5fiaJP9I1WgKLQDb56qifNpw7jHJ7e09goqOmlxdh tHXYMrk/OdC9EGINR1Q/ucHKCoNExQhfd5DlrcyIUs/NlyjtHxP51XsdfpExVG2tz7KhVtHE6LcM Oyf0LAFf93/KKJHU6kfKzRyz+jnrCbgneqT789xpwhKE5RvZ41brNGFVK8FT+1U5QougT2zKonlt UDYdFxtigO5sUIKcZZBln8j6mgrNvXqH/+RL2PtN1hbecxbb0hm9+SNKgBimvOFIk3vCOaPN2wjO pwtq1N6OvK0PqwjDUxGAT+ROJp3CPMsDc1ECl0NB3kvJs+D2wgpSLd4kHzKIShLTLXoSH6Ko58Pm bVT2rLptXy3kw0lc+XkkXwYI6Q2ndtsvHzQgZz1LXXf4S+zrFJAb7YglrGeujMfX67cnZTnHukGL NqmkSi4MBA8NOzXIgSGgtCTb9BiaLdLfeCCX08zQ/YM3R2jOkciRxYC6zOwhIJZ+CZj1Rb9+4P+y t+6J79jFg1G2BvOvNG8YXQ7ORHrS707AvM0G7vuAU8NklH9YuOQ+6lKuD5tlnkqQXNGTgdW/kJqk PfcOgkLs8zFQlXv1kcunPQ8djtwdAbJfhlZcos6uLIadJOa+RMwDyRCnLaihwSCxUZ/b9QbqYXUL 4Uw+MNHTfpP97i01/8NJJeDSeLwpffzXdLS1vpPwlag6Xz6oFj19CoHzyBQ1GGDLjxEhO7Vyxtlm OSzpcZ/uu2BcxwCNhCRUCDs4TNAwwLmFH0Q2Uh5z6nR3PA7/X0PrVVv4n/ecR2NKxZ8zxbjRYheF 6QVfKcATc21e2L8pZkXEI+qDVrexqqSTk7+aY8NQE1n530ojo5gMUlaHXuu3wEBJlbANSt5r0T7O tg/AT0M/hrov7PfvSTM97/Jw2mGymx7nFnygBeVvSb0B7aA7Vx5coJhuNlvpC8Le0PHslAUjGf++ FvtSxiMiA0NNoL69WRh+s94ea+BgjFavKSnW1i49wa9KzUKi6kokUQxXNstkHteV5sE9ikrAq8gJ JOIMyZvj+EpLK+44s5+OUXjpphNs/uHKt9h6amJW7Ill8NCiClWQDLQNFaA1pxwnplRsosr4W/Hw RhwtojEtscxpG8vw0+T3LQBlLwp4pPUftZ5ZWVjDBCVv+3mPDdmUUdYmCZdam7USy+/1AEZUN1iu ZEZtSHcWHdG64wHoPV1c8nLH34eU0R4z/UpLZcVE/+JIL8O02rs1kO9fwx1DNjEaQ0xPJ1VhOgN3 HFgCrGscNDuAPbDHM99bh4PGssXHUktjGWuFpZrB+vG9HaLPtMeI1PU+kTAgook42pm7E4AEi+4W HDsla3CXw1R6QxUq0o8Z/x824VVwp+XBtNOWxKN2fR/ZJUiUyoOHYrAxfmlppZZt94YQrJeObiEl qFe/1V1hV/0UK/XVkQIpaGuSY+quQd9YbXmMytQaMRpIFJoChKhjpzPAFsUqTGBTc9YqWWQ2QyNZ lQiVGWU/IHGpan9CFhrX63RbT0/334pIihGAtcGEv+7Zf0gf9q9joJ/RPiV/nxaP0X8NlPMwLaS9 gQ9XRuOIXiBUdEplBFiLE6wvbEduGpKzfxaFbaCCvfZXF8Hverg6JeJi/PbO1UD0ClSSlcDTNgu/ KCChfnKRuJq7NbqaTV/N/zLYF6Mz7w7ywyqRlyIQMav57ZZqiUKjLEkCgIgmDWstzOl0mJSIBU3z PCfCBvCgTEQ88CS24RKoHbaFMGr7KGBysCR5+B3eposTkhqRcAUwIymMiezbP4B1zJCkkwaQL/5f tCOldfMJgvhiSDEPkGe3w/4Q/OGpuaS2DuaHW1Gcb20BIdr5KLwxMfUq2+Xg/rlOpLPESMfj90Y5 seSnXc4qSagNKKHIrCBcdLfUEAjMteKzyQ5wXJJ51T7xvuEwnE0mUyXOMrgNaxeFXeLtl+I9tZ9r bYBlilylGN+fiuLBCmZjTNMHZdDYavR67R2XHS6/7zxPHrzxkjXiaVvITSHJ8s+912J+A81UsuuA iLV7vbyE571mCuiTiONGGPQLKSKeFQg43EkSwrzElrYTg/YshmtowqLSA0oHK/zSlM6JCPmwmJBd rBP4VHfTGiYGOPbrcyXx8Ze1rdBuUcetIGeecbuAWMv0T8Gh0na6z3InBaVX5oDCHIebpm5cpYvb MGTkM2bA68cRzC/4mN47y6s0f0uX5ywd/bBQgSTkSqdMLrAiocz6bjkkORwei33YBOh0dTddHjk+ BgcJ9wJdT2dQ2oOO2Uhi3yf0rjYDDXG9ef6Vav5iEP5IgQ54sy9FzSJ8+VUiaXFBMXRVOlnKBexo NelGWfgRoy5E2E+Lwy0ewV46kQlHQnkIjTW63jitmEvs5Z11wSWZGeBuO4G35fyPubsOcnWZnC9E RSN5/PcIqFlYPIxNIPESXxJ638gF/Qnt4JbgVGyGTY5be1WZPIXiGS9Ymv6eLi2Cw9/UP7NNkcwi ELcMcAhrmaqsX9HnNV/wLiVJBvz3q3YSDsfNQpAeMRTjM/hi8Lb7plPgjfkfERlZ1Z+aNm5PA+P7 ZTSHuH5+wSJXI1O7RGkfV5n3QEAP/s7TKDq557aoGgj2yeAo7+Vp3vq+9Gb233eCejVerbvqlNA1 HOeuDb42mpVedib7A+xN+s8bL82m2lHb6LHTEgZUlr/UlTGpDbejmCxYQuaGpTjdBQ2SBq/c2t5n cdoiwBDYyun2rGVAcYEmpR0btPC66pZLRD2KQwpkjXXTQfu3dUbGmIKK5x0lyw3GVr+Mwqxh65DN 6vKBjROb47p4h5FXn6yfHjwfKxEiB/Bd7ck7OkOtCgHQ66jIzR5H/stJz77kkVcO1nQtVHNZqcmN vGkW4W3C9lhsZiMMMGUPSIFK6GfaFuvC71PgjN4mokCN041Xa1ccX8Fpto/eaLYJetuVk5RbW22C ob8zwGTPdBU397Iz6YdDwM6E4XpN3G58C7eJ1junDm9o4JHWJkx8bnL8YhOy7Q7fneas3NZ+V8tb OvRHDYAgvwRvv4uz8XEtFKP/DgtI+HwQbnsc0dEd4gTe6Cpy90GXRcyBWAiOnuztQM/07upNOZ4s FVNvlFZfUbzWf4f42poCUOynvgajTQEqz7W8rdpJ9qT+cva5OjPyWGDcSIyAkoFO5qy0zLJ4JKUV ODiJ74wuxn9zTQM3Ne7VhpEicJqB05AYx1VBHcqJ5uZbIAUEJhZXnK98fgSGco/N9zb39n2469U1 BAxtJFIm3j1KxArN7HK8zAFyPazeAqRT+cFTGRFGkm2/NmPe6p2lK5POhMwmC9SdLWzWwsgmcDMt tuNqD1ZeAtlvEYScfnZQUaMJyrAqEly+QjXMEeVkmBwTGU6aOLVftrLkY2khDcPzYUArLQemNjd1 VKwViLgMZxruYPq/aFLraB5G2oNqyYFa+l8crQIbfpFq/jJ9pbakpZMcKsE0hKKMyHKQMjmQgxr+ yiyZzNogvygR1xrDCwZXIOX6/AiOqI0kv9tBFIOf47KqaVh2T0zBIl4drAa22zz8vwrHDX1yrBB1 vP7upfdD3KhrWFsk9CCchUXsOuzFQNRcM13JATqBMUODAolJWo8LxsATLFpxA3/XlTqEcIc9OydL FidVoQBqPUrRfZDBBXXw3PqvoKCbnMI9DmEzKXqVZ/KE4PYH3evjBrwGrXWQf7fwDOV9YGXy8WFR JEYoofQvsYEMI5KtlBxxeFSkWBIb0UrYfeqTnkT2MR1/vKGygfFutNHzeAhGGeP4pAGbSuYNzmeN eRiy3EN8w5enBYY7ND6dG/FY62F7Z6u+vZR3M9AXvux+qETRpsQ+wGpLGpNFv3N1Zu5BqyzT5p8O lPHEEXjJBhbInX7yWw6CPRtjvjSFrGEm32oQ4GbcxA3bEeqHCc7AEGUJk2o9lTR6bP2U/B4iv0+j DYVrLmK12+3c6QF4ATKYmdCsOmVXxcqi5XJqdDHMa2eOQep5FPB2f3bjINg7PC33u170zj2FN8ME QnkrFvXj1ZtAtMC2q78CqAGtudm2iKPo6iIDs6fVFCVx6iqIUbAB4TTeRrx1x5Opx1MhVGOrLrMT zgLnMIDZ4eNLEgAFIt6flQCjubnxBhRrg396SjJ/xR8MlKyBOovCEVFtPgq2tbThMi36+gIS5oDw 3+WdNfMKYiaq8YnQUkWyJoWXBj+0nshordLByJDuISApEkYkUvjDhUqloyA1AdjO4D1iOS6m9qQV Q0aSEVoemTMCfm+dCpVqFLuKdJKtVtwm7pysB69jLLWR7HBxTmAvyilwSvniBxgubDkvsLbnyvnA 1CaVu7BbP/8AhFhcqmuCxo1p05AAReChUSS+QrpFBwdTjCt9RECPIu6HWhaMJ9OPU71SwsJym3Pf Kfe4szGP1Tkkb57IBMdJkj28bcUzutsbGMKu5AdPcJsQTZ9Hkv74HaYVWgUXlT1CwnKb3s5ht8mS A6r4eEMrY6fLBz8s+V6mq0IZDJj7as3yB5KQkkqUEWXSinmwy4r26oRozl/jMGP4u8xqWXU+MuAL dB4Fvn5tAZzvXTlsKRsCXgY6+TTQlRKdx1TmZWpqgvaUsvV1ilfI9Pw+rRwtmmk+oZjwW/5KskZ4 SReePG38B4dRB/9fsB+uUmWmu17iRg7zF6raYXzNvzll4AJXYap4bc7Phb0BTsnBpUk/4LDkVwbj Z1/vkjLsS3Jgc1iEs0cb8X8cL5kD8o2zwK+Wl4ZSXKlRJJW6fULmoFxW5tv0+LzAilp/H4gJaXDa yU4HthNi9Bz0JCOEcEqH254xrHoLlf1fhUveuks4GCEeG6SMheRRdDA0qnlcYA/GYexlbJ3YTxgs HbjbrVJA/ueVesS8c/oVk7aEsaJ42J89vwmBuebtg30YivNK1BqYEfGo/bWAkGVBh1bJ7DThZ7KR xqlxSLVklmdnGZe5ohEY0U6DgmcTQWlvZ9P5Kst6xnFNBZDjHjxNgITj2ptQy/TknCzgCa5SqeCW GgMDm63Pd9KWm/XP+RV3l1Eq5mUM2sDe5d628vkGNDEpN6j35o15EpLgnkulUW4NcQ22vO0iFmaP 27ClBBDPc7Wirjp67gtI8aqRf+dBaXXePr2xWNQAY5J6xWH55wMaXy6i5oYCIV5BxrYzqTpv6GJf rtmVDsiFQKejy97/y6yHA7ByfU9DK3iZC9TurpFOreqMAF/8sivygq7pW4FYfXvf87A2qBsxOLad j/RTiXken8PHvNRO1nNVjxwU0V6sV+ko/xig30BeqgpRg/0lvN5BAGXtf/M41YWkM90h97nK3skH zpUidTkH4ykpUN3TY2b0EZaeZyl+eAVhqGMZH8uLZVan/Yd/5t1QpJLW5A4C6t0KXRXvuOTGF45Q ciL2b56jxh8vnQOoDhzgb8YiDAVVI538p9+PEcdEE1FvDvAomdYNvXotQMyzt0bTi84evzr1HP7N Mv5IPhko2CQaPq21H+yPE+Gk/fpcs+sxym4PUKWY1j8phtqIl0EG8WcJ31FwGFCpSkCELgMYYV05 VKFPQS9wI2QdpbiufJMy3yPbyPL5UWWUOB9ewVa5D4hEQK3RVj36wzdkOm6EO+ypX/kG2WoSI+WA IGd3kcenCXzaLUn5rlwcbmc3vuOLpTk6CCicFi0pZL76eQ8nI7betXZofeunV+TZSNq0PJWI0mIy Lh3VoEF3ggU4Mi00r6mFd6QZ0bJafkefk4dkcnfFXzBIXJZgo51KMEfTiLN6yt4K27YL7ZyuoGND ZjFHh5r8vvo1oyfr66BrRQavoWwFkz0PJLE9Y5HJuJ5tWvbF6icBLDCL0m1AsDHEp4g42XMJw/NU XBhPD2LjE+veGEg7vaTk9SjGPcya7ifn3CO5l4moZ4P2WxFwRxNanQPJOhryMlEeCPXX3khO7TwT eMg0Adt8n6w/iSlT4KWpJj07pYdX26t9VXVtpojo3h5eFhw4w+8aEQ2X5eo3jGV1PcKYIetZ2YVJ f4mZIPLEiI/cBKLGpOae+NzEmRIGuzwW3FkaywOLJCgEMA1QwskiPH2Rg/H7anDgrOwY3BCarZgd iTFqEfL/3+2yuHC9EXPxkFi8De+HMp49fOsjghD2xzs2eB2MQmTgPn402JKcSEEEN0qE5dv9YpDd k4kS7PG5HaHbRNGigewka2lcts/cRbJJ5IDHUQ69kcA98s1iZB2KoI8iZDtggnI8PAP5TjEKAXcT n0b1Qak5yMTXstSqgRB5EaE3ymQjB9YraFUzDDgCxMwYHSNDOXnMBgk4lR4r/VILc0IMajVnqU0n Qy+2Rz6ixr7ljr0ARu61LZSlE7NLbRh+c0oMiQSPW50rjFZiutEyIvM/rLc6Yyri8380LcTPbhxp rV794Lp91icVyraKO/C4qyNz5O9yPuN0DwCNWejEjEpnlX9sjTcs6AlNsItKOyF9nv2hBe1VySzO 1RkAVTmAVPRkNO5K2OPuo11FJcPWBEI6MVpOqLgs9VA8fptwWNFe03kZ5Nhu2QG6J0sa3OZFw1/z joGzwX8G0QbqML8ORuoRZ54zTa05ZEEe/ap7nUTmzlbjbzVR7y58qWLW+fzdEp99fNyNs6VwesZM DP2o4N97YCw+qqTJKzIAHHSc5njXLOHd4E2jn9QHIxw8fRkO+q0+HtEf4KFJ4HiZgOJoSX8ZJZiZ 3+BvPcCRCQgxA+994sCkx36EYy2cgJ4QmcIns7scGLShB3IiR3WBqllZokHoB8gX1yT+U6LeiGrP ZQime5M/J46kRGXiXY+zykpSNucb12Zg3ZxQmXIt2w9WAFe8XwQIm7305IGPgQOKcxbkuPQpPtUj r/M9SrXQIldgDcWevOUfzpxbAI2Hnuc5S1kPkfuKVh/CkNvs3Kk091N+EAg9JgKe4GFCO1qFXShP JKsMPUGZrfkEfYxQ/5xdcJzo7/c7AJtV3rLbNtEQLeYdKl8RbJVVsywWZDsxPC6ClO+pfgnNytwy szU85Ve5kNP16rLdblflaHxbQVay5RmWS7b5QxeYilJFgAftdLU394d1TuBsv96KYo/Xyoti3py2 7z7hY/yd94TJfzpeyRFsrAFs4cW2wnnZfyp7E1DDLU7VBAedYEBPNhyLM83eXCM4tIaAYp/TU0b+ Qagj9xeWBae0diZ/7LyZwB1u4xBlC3loHqIJHE4bkU0xDxGWQMnlDJWxNsr3QTXMeKqix6vvv9UP NBFqBVzvtLgRBPQFZVeqReYWNk7JkprOuqqMVF0GaOttzcoM90ltIRpirHIeqAQyMYtCIlj3vUnk oaStsktYu6U8l1QXhDwnNmj81lDs7KNMVozbMw14zEVKYd3HKkermQzWZ5HHRoI2oB2+G9RYtSR8 sSK/sC45J92Rgf1EZ0L2khH7M1mdHkj7HbRUBQMgDIi1x8v/jvpi9U9oy7Ra6m3GpTZ2WbA7OkaF b5SxoN5et3V8NY+KLk2U3LsB+g8dVmBpB1u8wiCNSb6OynU61ML91hZQ84LvtNQuLCBgXQX7kQuE /yedrUECz+QBfz2eY55DxmHOLDRBqL9GQudr0C8g2qGvVXwfxqv6lyUj2R8b2yxXY6K3xeR/vj7K 6D30MWdchPaEE51Bx3hKdPSnBwd2CFxBlTIQDFEHFwkPE5aUj+qb0mPdn2a9rXJjuekLFzSuLf5I edwGmNuXf9uuQ1hkOIWP9HhIAkl60hn0DKaAwfHkEntnAs/bFBPUow621PZ4ugYRYvXKC1wdomTY DrsKgg9iEaC2OP2NGXxfaN0bCp/LOwYADYBWJeFIBQKTpfOnDz8+xKgUliCIIa9DNEcsQx/z4vwN E7y+iCz7cwMFDtpluEGMOi61Ji/aCtKH0Xt15nAVxDhBqLz5psywF1XlfDqT/cX6eHXcWNj27oAW xbjKFD8AwHqlZvNOU8vvTKrN0nc4ZI6k4smrH6rr0IoKax9fkvAY0+Bb7pcQt+eGKZT8CLoqGqSN 4Pqi3RB7DytxC6PCy5JWYkJw4yB9vARYX6CCRoPsUnprnINZ5EFkPcwgor6e9GUU1S5aySJ6f2y0 tmEqD2Z8ot/nFh8JkwvIjmQSIVO2lS6Q+0RgCA4zr7CnHFziYuLvAhJvwwIJMmZC3Sf0qIDHrjiW HyQQ/NDYH+Su4BrvEUEJofF/5hpYmfmYH+qr/LRzJgWrbKvxQcSVPnYQ7HyiOkG8JPlex9pDa0XP yytui3yUPLJsktZ+wMD0Qm0uilzFLpGIN3dzkRv2R+2M1R5nhGvPdLsF3mDGrm1IMJGD5hUASZX6 krfhtwcMKIxAxYNeydRkW8X8+/sIdVLLQqdFsIL8TLYvKj/9gV2JuhNl006g3zm7nHxXKJEe+BEX sDTDra/jGRJ9pxM9PYs1Z/yzVGLKwkbcwn4jYHAzLGIiVbCb57CeGZblQxw3QkZELctj8C27Te1+ j0iNQ7Sr8hOssObd7RNg65/49vJX7QrsCHjGU6KDbY28gILIP8cjlOqIQ/UVK29WYyuSLCRTsKaa 8OGtMrriqIoMR8AMouSaP7c/VMmtuBCPMkLDaVdt/8I5O7SnuXEqWhAlYLyt7kSJW6I6ehnsy/Vh dopo9PV0Irpz+s8ho/hgja0c5OHUj95X6hAKjSAzbq/xA1Fhsd9FX/JqsngKrRzwfi39WqN+D/3o FF+Z7Kt3bHMnYZElH1sivptiU5kllTVwpal7rrbxBKbBbMgJUF0KI8TGdlnsU6VQyGMNaCoK+lQW d4wKWbYOZwvUHtkMAPA5i3w/XMGAI1i4b1gjTIaIInB7pKg5J+QSccojndlTLfC2TKUFNK9e2d83 XP9mhywhba/wdKMIRvST9z4H/WW1WRgioEMa7C2tbCf1c/g7aaalD/U/6n7qPawjdbh1knUQw92G 7f9uCakSYuMkm8zjDznvB99NRHpPV/kAbRLflD91zhzrsxD1SFN9WHUzrNyAh+z5MNkI95+Ss6Ca B92Yf6/ksZasXH4NyvRewBm/imq5qvRBCq/FqZmkK5h80xAvhlRMyrBIdougfo3t0UkOHuwBJLe7 u3m1ToLDpQjdMM+ks430Wsddp7hnfV1/gel6m57pYWH2IQwBDht5G0LSCVfxnOO7vL67J5Xwh65S 6KNePYRqu7GSVKOztFfbLIrcC1hQ6O23cf4FEDCVlwvmCjH6OdOf2oBsAPKZf0YpgGvjj+ElsbFj e9hV2vEsI5i2q+/MlziAOm5TrVJ1Bj6QPAzSijdEtkHBlWHsVCtvHdadJacQ6W/X40kuvvfh0oaC S0ZjNjhTjyP3KZeSVVwZXMYmd4I1IeDTsySSJ6Ws+Q1IAWo/jv5SI5dog3DeoWe4FnKin1IDNSvs Vz1ZH3g1F33tZ5wK7Dr/bDGGRf8Dk+juM5PseeZEirMGc9F5tAWUEvXtKirPYjzFNxyBz5oJLyeO 8HdVwzWfwt+1KHWvCMXClzgqAUs1wTjoKfn7fncomfHmjhuppoRUGfioaoWPLpmw/aQTG8oYpVDe z6LBnpzK6VWAih4hyHbetY9snaJ3WXi29uFk/HD8MVJQnsOwHTuLD7XUY5y/CLk+5/iYVrVhuCad 9mDfEQDD9ZorvwTglMHM5CVgVpSkvQtlL3iFVfoY2ZhGh/CqJVh65qsizqznyFfZMz1xEH3lvBVj qGwAH+sMDh9OfLrb/pInXMFrMnTWMP6kBIsNTTnO9oMFlb/Nl07DGMl1eulAq50sq4L2MWySmXbw XPYQC5++REUbAH4P9w7+57TcULhr38YZ1y74rp/cWnfbXg6GTvIUIo9UCy3MDlYmQVa9x4wbRCqA xGw/UyTmu65RL00Vn1zuztkatSA9hGuRFkHfcn7TMcAgPqUv0D/a/4DFSgqhzpOQoJX4l4ubrts8 EFor8AICcvjURrj4dAQS3IpHTMAJQHsq7VtbkH2CHI2iZwxcEcI0T3KGWuFxYnTaqf2eDsTlhKK9 2iweARDMF4eFq3jouz2+3ybYVK4rNDgNVXyy1e2Ylt9LJiJLGU5pnyLVod27IIKsGIFeYzk9YnlE XBfqEmJYNLeVTPpZkylEZlaqfr/nFrKBwPaAMFSbGYQ2ByUG4NmkI4OqNyuwCgapcAFRCnbopmMy tQ/0mCgA5FW6yHic8/zJHvDgQeR2Wa5L25hkwmOZCnhXyhpm24EH6ebzeyXKWkbqtn7CujR5chvs Yjl8e7OptvZ84+/7T0wk9XOWvbguerr4w8eaoL2f9Y8ungEBuX2m0Rl7zDo6u06WndSkzn07IMdu 2RdjmYV572FHbhOE6HEwj7DFSY9MmQ0JF727BwIWjwASHpl2MXl5eU5XdAEg1M7J/XZr/oyN1snd TY+n4XDnpxq8TphEJ3P5ChXPxd8F1SKQ7qm78URERcJLDxupaDOYYONQWzX/RWkmLjGMbNzvlDcl NbVpU663EBw74e6q6zAmghKBkSZVlF9V+eIHgDQA7Big/QoUK+Ly8RaQ8TTo28svaJuRd/Lz+tpV wjMNEhdJbrZvp38nI38QOrHsCNjcbT9OQ8FqS0m5aDiMzUBr1q5oSUbFQtUygWu1lnV05YJY9H0b k8cJJQeuMAKO6RPsY/NnX0lwZaVKDOM3OdGO7yNFAxt3ceaHI6p6G3ptalGO4mlhKmR6V8L17Ed1 jrXOheMZ0G5PISgglNtdyvL4lns2EwhY4oAdlM9xyRWsoS77eeOYrDZZVgErXeR/AtAv4WrOUETo zJ3WvSzzzRWV9hsrfPZ8AsXYrkpkSZoE0MtemqwQJ/Q1LRmghxGfFOVnmpT0eUSetfR+TqHHuPqN 24XaleUlZuBd+cRton22YLLI66z4tvhHq8r5jhzzelDBwGoxVHb7WbP4XRE4J0vSIQbA+ghDygh8 cxBo82mAhZD/jwZ0xKQVLLZO3AgQ4kuQzNkqnDxmaJDlTx3i4ojTMycjwTEpxbOuRXdR79Y8iOAm RX0LRMnrQrK7lJq+c7xyW1ICpq/16yFwtFqErHKiBEkaah1xvs9OD+iqOYiugMN5WGnsJ0Smg6LG EEnPkRHvqHv3dS93eLfbS8BXWAAZWsVGyAw6VcGXJYj1N5KzA9RNcgQCZjdDv58jwmOKmsNv9zGh 5CwUq/jCO4xfP3JrObTXhj/Om7IyLq+RErcqeHl2eZaFc+ewGQ7iVCeX9/VeV2QQ9a6zeUvFcwBl wG9UJeY54Ss+C87NBE0XKDzz3StuS5sgL1e/8FnpACqvqAmDHmHkkP4QdYdnySSbwJ5ZiYCbZijI nNy3aYDNm+Ym23JOmKagpCxclklllcva2v1jR3sgiQCgBCKOuBKidxUIdatmJkKB9r0X+MNZiiqo d5adWLh3Fkz7NAJnywoG8UQzpKTmx2YtGUxbfWzOtjXD+ABWsX0mMsV30OC6RL9dbQTlZNY1OJ52 lee5abuJ6ZrV1PgUfdtzIeD9+R4z5vYi1IneHla5HY9UU5DaqdJS33k8RBq4HMjysEENKUY5MMr0 wzpnJ4LNkRxEemmtWvvIyaG3qCgU+U+0KfmyBPEa92+x+fe90nz4JbQFMLL05xrX3JwpaW6qbJ64 4ZM9bw9oHYTUymJ1QojHpzaTlLBJCDntv/+yHGET9ilM8kaWZnwivnqH+j35b1lFwcJf4s5jaBRD IQvt1Jy5Zk9SMA0doPB4Ruc9etwYDi27LLCdeMXcPpKbk4SDxuYibj1UPrX/YPuEuNN8XjYSU/Zv n4FTjJWZBM8o36uf5o3OOqSiRxaWkK5ANenOS2XtFOk0l9iKED0Qt3VGavbdwCvjAYwGUuCiPXwH U1skKS5jX/N4KydhQ8HXr0sNR/pcGXnnv5hjh22PTyKWqrJBVYyUcIcC8FCq3meIQI9iqo+b3HcL 6WSJsAzKYMJjhwvj884g4RNA8OcNounPU/fnVYzVgg2qfo+eEp/gbSa0NVGVhliXvYcWcf48vSiD 9t/TjGSIMWtzv/0XK6OLx+/AUqL9GnLS9JBP8MImqvNdrxTsASSuojP+eAR0AW83OqBfXjgTKb0n 9ILKjfOdPgBy5FDBTZCBEzBO9eeFFlDYoS2I06sLSFO7cG+kZTaJ6Y7vRZCGeCKMm2MXGQC5HEs2 W7QiTMKl8Ic8Hcf1q3pnIF2GYZwPt7QcK/2JJc+EUTcSCDtdo7BVwFGnSEXYhZ9ODxfj0vQ2Ips5 4IO0wPr28cYFMtPWHZQk/hSSw5LTDYmR5/BBaXVksY68qWj3HZcGFettnZMMPNmFycxdFXLBIcWI VvVHwQJ+vQkG4FhdLDucIchzwenJONiMSLZQoABu0Gs5yYuVnkZhrVVG+zVAhAFQ6TfDYZ9PmJV1 Qz4HBXZZBL/0YGGYjK/sswlt2o7GVTS2IkTIC2JTy/pWze9cdlcSFrITfqXkP3ETzzYcj7rioTh5 3ov0WhUL2ILyLEzGm5IsTxTv7oLwrgYTewKvk3l/251ViBr2H1NsxyQSMP2yywzGrlFEf4NAStuK EYypshniTL5uVZS6tSLz+Ng7B8iuPw+uFrWYnW1fcMLAMoH9rjmVnD1NQBNlFNdqCfY8aJlYp0sT s+iFziS1okTNgPEVQh+P+hqtGzmuYMBxkXdQU1wAcHagGx98gPmnluDUKARrKVVYgxkqXi91QR8S ZVKBtklhMVFzYXMt5AQS2tPKLz7UDYSeyPBVE4zgcOsy5CGjprRPjQYURqi1Rzp+NdgOR7xgWefU LoN6kDoWxq/YMwLtcwpDZWpiRrdmnm8zSd00Sjz53NKiZo2r5ayhSw28tcKtg44czr3+6IvFhlxZ PqN4B4wFfCFExd7HNjmtn6KPdgj+RzOPivBf7gGBLPhVo4zidkDrDjNuTx2/tDOCd3r9cUVDk6CB cVgdVa/J/FNY7frRavh5oD5zjKiSX19xzqQvduhSbW6/bqyogw069aqAsiWqAdpsvI/bj/kBd6La 0TwSty0bwt0ruZYWCMJHZujOJjftpNLnatIsec6CK7aC9PjJHhNbxRIAHEzOJZFnbuj9KlgN3i6X 4U8iym3q1pkQwp3YRxND2m+TrpdxfYpg9Zss5cvyLLTDi8jhODo6ieohDMs+QY1vlasGzEz/5m37 z3SzrMOXGVgLJMTY89B2uW1RhfZKYWOIdXGiuxS1bHOBLIBxh0Z3LOLNF/bxMNA96Mm2T/Knpz4V +bDN+3whEAt8Zf2QBQimBNvLjVzkX8wPgnS9yrgQn4Pe4o68Pislo4IcMhS9/Fuh+A8xjHpO8SxD ytmMRNeVH4qA5RAIa9BsPdnIjwnqylCftNlQsdQX33yFrx1a4iZgVJ7Hi3PK7+zyOlg+/26RYF5k qOt5Frvni/OCEgthQP+whaxDj1TZ2REQbMT6Shr7gFZ09KYXq5Yri7zNkL7VOhkMr6jxRajqpSz+ BdTmEndDfHttPX44edauBI6Nb1blz7z3Rd77d/8FE8by3Elkt2yFWauVqrhrLTHP8G0PZh6+fIUb VeMldayfLoW9XrsVKPI0FtgR25yp6VwjFM0CnhEsoOL6jQr73HuNjgEU0Eeg9XEymcbAWRfJDhKf NgnfZnMMEqH8ITX/p1MAm95u12qK++6qScqtFok6H6H5Wz0h1mfq3XvobTH+EnZSP5YY26HWEzlP Sw8/ENkR+m91V99pG2aGedSJvy3LxTqDPJJXWbHwNUw7cAIwu/X6Z2vPKeivFLU9gyXSJqRWqOxc tRQDBkerF+bHqzZlEmCjwgwTFctDTtZ22PmbQtktI7Q3fsuLvjUsNQTDMiNv/juiUT7ymT5BPBny 4ixy2rroONdFouHoVYLXdXecEhlkbhoImPwLA8X55+/bamxoL8g/rWai55FJDirVaV6eUqTFjFAM eKLuG+i3qkjN/Lb3Ox4FHGrawGhmE5ig1s2+wAT1LzFCYmtBIkwwXPdzY5qIEWuO6V5wKvNW4dc9 U8wX8UxCcPhqW5m+5UM2B6piHWiculymjr7WSfIt0BTOKFnG9T8NPhpoJxAzxvU36qHq5kYElE7t xxzEGctbgYZzejtwHwoxszBTe4cQ1WS+WoEMqyPAnT2iykUkNQBYZLWSzULN4vE4muUp+qmrL07m OoBbleRPfQNsZ+3PNiNdklsHXddnad5eixoxaIqYSKslYi9EPwuV+/H+UIIqQ+PIbyUDt8Ws/CV/ Zu6FG/PALiVDa/wBtGBzrfkythniWzxCg446wHmHqheXj33u+0Lh9meOUwk4bwM6iu2Q3gZZDFhG gcvjABXbOX7I6MVGfJ4Vows2Lti3qHITQMvuJZyc1AtS3BiZnrsOlJrseLA6CZjZqOviSCKkCTyH 2a+jmW6jM5kIKamZ40cOkfVtDVb47nMMwZVVvjSlH4pnn+Uu2EhqoB9MHevQNF59U0u5zTGK5up+ sQrAgkZ44dF4IVqhdf0w2kIMl+9Yfi0ttyZODLOPNRRwI/zv+zZzHkglzELCmV/vc8kDs0a4N99N XZpP1IFTImhd7R5EMEjf7roEMBfCukK2ZIg1vV77LGGTWYvacCQT/gqzKo6TrXyAiovWwM5TW/yM 6pFm1X5ky7Fbqi+55zLX2arLx8aEg26y+rmX6bK6GVtj6i9kkODPZ4j0X7KncjngdM7cvsyVXAex 5ftmyGpLFhBZ7zPAxqmsP3aquz6L8u9JTo09FMvBz7u+pSKTq+qSsb5f+XRVnJf3LXrcYhP9A7AB ji9IHQdJ6OBwSx+LtdTlyJxr2aK7N+YRcixHLF+gHyNHTmaRT5f5NBK06da0brdz7PM7EcP/Y4ax n8U1hmMXr4vZ2NcOX5MZlHU0OmTpM92cJlade1snqB40NLxK9aVUZugUloUsRZXTgTba2SZdYSXc g3HILCYcT/I2mGxS7OYjFwhhMYmNDM/bAZ0pOZFQojdYtfbYbSeegFvQuVbLQAhJvfFdoqYnzFz1 5xt0edZerhZ2MLnEAMRM/UcvJX4En6OH7hpPGm29nhhE5ohyAgZSXSHOJA1+rxxcUnfgnoe6g8uo CUBAeTHT8+AWgDzVuM4OdoNuo1VIePukvVetXXwiSwSvNeLa4Fyxv8MVIoN3wW5Y891QdxbLVIUz q67S1KFp7lwr72ZhteaPq8RiQHyslQyEQdRT/aK8Ygzhe6x2Fei88LkmVPEoYpbHfqsSblCqi/pS u70ZYlDBcLrnlw555HuobDtCafTEa/0PpX/rpPm8Sxl+9kSEKQOh+FMmfqmm4POrqfOWVMTf2Sni lzj9sVVlDCOXFuAHYdGxvXIRs5b+NYd1ieZpv9vUFO4N65ROuTDnKEQCuovmALOBOtuD/z5jScPn 9X4K0OzI6I3RTS5eAD74c6II1SVytUht9Zywn1GNtABYaM6KFdaAAezRO++0CgC+c0hBXIrJpNNQ I5iXB2y/VDj1irzv+xNL+vUxaB4YnZU8W2xcmbDw45y4H3C+aNCeS1lVXggBjUrI2qaU/Na3JW6H w+uWltxIRVjCL1NGRWPAwtpTE5m6Lm0KuphE1crJjXWhyZgLjXctwXatdhrJ/Z439wuZ9TBU/eIe H5o3EES2rUqDVv0x0VuNZU9KURtDZDY92jQqVPlZMRUAC20FpzE0aCntt+4slLs9AyzDyGiGjxIZ fnwO9q0sAUEFYPQ6W9FKS1SAn1IJmEb2pZ9RTl33/5p88b2+EPIcOLRGOly7kZJE7lyG46ndLbL2 hixNdu0tekD1Plr0ERrDiArVhf23TwjsyMcZLKULUsBXHzdSAdatPhppTf/EGoZ/lPjNY8Wj/Zrj c/K90y0kFb+WH2mnV51YGu7XiGpGaunMXB+b8AbWzESZ+pbLZZQo4Hp4FwoG78SUGoFSPclpEOG+ g3hQ1o/v+5stAS2plIpyX2o7lshM+c59cFjDo9NbYoBgwBDz4y0ldahgsor9pjkprGEICbjJ5AuT IrVj/0cUaANIUsfJJEodoKsBw24GYdkWccDi4G3LL/pvpIZ/5QFn7sBrWGld6pXJFq0n4eK9MHj+ Qemhm609rvoJXpOhvvwi5vX5Lu9KZtewzXvXD8GT5jliCLeEowq0GFc9NdM9Pxy4L+sYQ9yIlg5p Fyu+zI2AsJSWAxnTpMsq6kWupRWi7ESzSF99XIiuNUUD5+w4b/Qh+Ekxa/5lFunHNydcK8p7uouF k6Jue15+UW/2KWKtktRYTFFUab6HQQfBpqDX0y6+Wx9wk8NBFbyVGgvczl1YN4qkGnTkPr/wv/AL E6NkAxoqt5XKHzqTcjqTkKlXhCVzGVz4XrFlsMGJOcIMgtBIKEEo7bXENwUi8hrAwj7lSIWQ9uVH NfaJi9HTNr+i1lul1mgZ7q55joEdsIzS4eonfFCGVsubgQMj8uK18XEUG8Rd35z3W+nyd0u/dUnI tslB8DfNuQWY8ZWNU18kZcvVja8gcrg3q1jWeZCXeS6XsZf5a5SaYT3JhVw7dg+lVprYTbWYt7ff CA97Ku7C38t7SaEjtMHMyXtG6xhrPPygQYBDp/ypsYhmv0jYJGDADQqKWpCsozgKkU16Dk9ycg0q y2j+do75Gt5GuI6tDYywDliIG8oq7koZVCR+D4QjqdHq+hjiyis2Op+56JQqT9ezL+9FRoR1m8ra FcV58376kGzasPX6M3aofwixYOVjhXVdrJxy9/HtozjcAPiCx9O8bDjd8jQrW9cUBXjYTvgtRft+ zVxCYGjxlL8vUR0g+EKZbSJn6yrs7sr34RzJxxvR5y+zDZNym48TMU67m27dY90vC9+sZJCa3naf dDj8aPx9sJMTazQjf4vKyU2uvSOBOB2xqGKGglDdM5TzVC96VKNWOFbIrghpGwlb1mFuuHQXRro+ fLcu1TXtXfyI2Cuj71wJaoOVQN5asUrk5pLoaUkeGRCTsz86A3edAqaYY0StXr+wWB6gIOwgSfeR 7dA0RTJUMglfT1OTXGUQxi/k6x2IEEF/EPP+DxAhtGkoYPjOP+aTkeJ0SnJe1oDNxbQ3bOohE/9i SM2bjf9O567VpfOue3yPAHUnYOkMD6zgd4a+yAkbIgWqy45bhA7F21b4VZPUIfT2bW0ZlOmzB/x/ x63RW0aD6Ub9zFh2/AFFpQS61rqh7FExGSQU7Zo54MXTmouTh/klTslAVTXBu9hx8erCDvj93tmG DhOqFx4ZS5fINdh1SwY1dunnKyBZoEaQxbbf8DWajyWOvlxb1ymHVAhxDa46dt2EdLHPeJN4uoWu MkDa68cliM6REdYstDv4HWWrOfBU+hCQz0ZFTt7RZmOMkwFrZOWzOwNnWW84z0V6VK8HaxUVnWTQ bMeMRqctOZct3DEXSXJ0hJfPPryYsjhGxXsPtRfOYbvBgJaw/ecgSMmGd2I1HfZAGOfrKzQeSOca OgHeoNqc+xgoe420va1RhFmyv3P9arvRNIpr1lBFz0sy5hfORBsmrZ4tjEyysxr2jFuGlec0VyEs LQvcR0Qf6EMKDMT1lityAROMJO4xn+2OkVBbqfL+uDnfOI+A8t34L6yix41TQZoCdBVCalK2R+az JBl7J6JS2NnFoBICGTGGH9bRhmULdwjbii+5hO1GxIWi0gK9ZK8LjMx1gxSwkb9pZAoUBvrWcFKo X4Bb+TZHhxSxRjW6SfZgfZchru4uuXWLOq/qsBfTzaT9solOmrJbtWHGGW4c0W1embRQQjMC1TNW K1ijG1m5tsFLtu+FX3HFhUFq5axmqeHtLg02nC2XT2yria/YOtLyC4mrlhInPoQ1e43aelZGiNNF 3+nyY9BKMaMWqGyHxUkZvpQQSaFuiv6xklfc+R5zqQ2iDIIAC7WwtDMploJILyB+C6sVoqbcm1MI WER33HZbp5MqYgOWfMQfhy2ymF6NWlGw4Y9CU64SWKxjnMBAK4xP0bMOEHKXq5/96y+PuT9wHIZC Mmt7fUO5W0Bm89Pn6cpqdj7G5OaApUs4S2W+YXs6VR5OK6Vrb7r1P081RhTGG4pjx7CP3RlDibTA TnP/cVA6Ec96qzCcsRhYMsePO4jlb4XdGzGd0zQ/Pnic7s5q19K/T0l8ahjmize9BH7Km+FKaD4M 6ePe9n7IEDXTXIALr3WYYWUVwpG/UfbvTpnfZIUn/0PO0iCOX3O4xxkNcInAgQVHmnjJSKXv/OM+ 5q/wE2/htFoToKOOPt2wqMcABoUWsl0oUd3hq1TNNu9kAFmRc68UdOjoRX0cu0OYqFwMhIAea8R/ EvxAkLNJnOs6gKQ36fDwCvULGxZIZg8eKfDPqJDz/Rkhvf104w98mmGN4Ynz619enGJVHPptFkv5 +WE22l7NL+eXWlS+bzdGFSaj/7e7pwf2AC7wUVfHy77VyRHok7skLs8AY63mQtfAVozvbPVB/lk5 qXXgTrndKvJja7SdO/Z3UtOzBTuTNNi3Zc/s0UzSkQYHrQOULGIO4Kkddt8smd5baiJfIx2TFuge nZ8ejYBQfVAeb1HhvTxsPFpOHyXDZOpH/qImlBmA8Atyp/F5zTX8sWy5VoDWFklexCMGEfIwMJZX fNhgq2CakKYm/Dol2zpKjFlCfFF6EIGFU8CRt87TK6tCBOTbHfYIHofho2KkCv7cjUM0xAxd5Ekj o/dkWMmhddyXQWl5Y1l/xxDLdYXmU1NrIUygOy3jupKuwSnQb0U4HkxMqLXWHJhIGPElyy8Z1N0k 755/gZ4+ZREF+FA7oitYpXsz9K797p/TrzZ7Xbgqqj63KTKZVtIgsSoTeMQoAarWcoFsLSAWXliS dL16JWbxlOO9ZAa39oCHCtE3egbl1E6MkIZdoy0+J7V7jVPSMqKM3y0aqZY/ZIpxkLHIEIUEAue3 iJXT7WzVGlERAvDCJCdMBseOjJARZTCBAiTC3wP2ZUIU1QD2AdY3zPlLMgR3/jX0U3z8C6HRw0jY Izoh3uMzgm1DIjhtiN98TfMnQEGKkUd6Y3Dx4d+Ewgo6rT8USH5JEFAxNFJIRdxiT/+K7K0YG1/i OTyXXHvdfCNaeBG9Tex0kLs+IP/v1hSlaORoU2PVb42hpEVN2bBAQwpDPvLNBLSm0EmTqBegpaHO rWXwk+wWPdgduA3V18VFcFSFQTo8bB8L2VAnNuQIwZyoFX1eC0fRkuEpmBtzicXCPe5+NX3Lb3Cs nJl307u4dOzRTin8UWATO1CAznvnim/5Fii1AogqblQ2x3rAq0/B+R2bum5H4uHXUJihHHjG0Tt9 uiKDJf+2Dd1jvcmmYdH6Ff2qmwfNbCD9FSHJjNL8RSuca98y1ZV7Koht198f5yWskSRzCcAIiBAq 3HGvc1pxU/vxTqxd9RWQrDkO21Lfz0B39stxk0H9t3hSrQm98IDrsMMK46AAUsndgxWNlkmvF3BS 6/Epysvs8yHe/RkjX9NNqV9yAYeXM/hSdEtdP1ZK9kT1O2a0g/3A9qL9AUiy5b/Y5JwjYfxGJg9v 2EUuspPHMLxhEu+ZVT6+qG1jl52RvBtMCoFvMtrCg8lcBcewR7MHwS0J28MpClahnd4gFrunpixb AQFrZknlIfDaYdU7KmghyQGUhlwGIkxeBCRSqU9yQMrWWx4CWsrLCni9zgxnFOutWpqr8gnZkNxV 4tViXFz0xwjGZBBXuUryrM1papVysfKns6N2o9reH55QHQWGyFVSwvzsQBJVUiiEYU8io+eQ3Gxo iqMWAgpMWILO8NjX8V7D5PH+b9LCt1IrXdLZBX6TGgAS75BlyCwzSqaz3qZ8/RhiqKNZuUZFzQTw eO3valYgmulR4Pu/+5LFCI2WMVXK5Hr6yiS2Z4RChw6k+pq4Yj/ejSXkdQyWtsU7V6BB3TnT4Uju 9NAdM9MVxn1iW0f0a1jAyl5tU5k5cgl+QGjP1GyxchEAo5/AW/XFd6dO/KQDtb6USGvkmi6qkWEm gFU4dZmxeOZoPIRv367fMBggzGiOjAHaA671+999ZYDYQUuoZ8sqkI2zSqzboSQqgyv2qJctw2lS Xrl11OUo1uHJ0RiendCCjHe0mdLC6gGbbJ+OGPFxz1A00MfuQeeLERrzyEHnVnBemKZPsOR/mOAH 8HNK0npaA+Ii7uq777OtjKviNAKbs1mTCNEEhAxLbaDckzYlFY6U72NwwPS9QkeNUiMeAJ09MKoR zvaYrt/3k4FlkqW/+3th0akQRBr6sgmo6PG3FOXJxlbsQGkg/8EmVccOYG57fAiUrr4HdCGrha9Q r/YTxnBGNaev4wlG95lY9p9BZk/B84LufOM7D/WZ/lUh77O1cAGA2OWGaHy6RPZevWENaALAATBb TPwbqTqUuruNSfhRKe2AbRBWNOgJk3uspykyEo23LQt969GU/h8hGBQfKpzup+Q1P1t5Kp3VFXuG TW1fTCrKBaYSOnpL0F0PIFydbst0XL8UK7MssObmCL+ubQ8Q/t/L+UYS5a3FLoY/htyDDpNFZPuU jLdZO1syV2xvQlokFT6ttl6lJm8wcDwXyB5CpGBGjBHh9YduN9xvkggYTV0pZnpr7B297ZBDUcn9 iC5XBQPG7qU2geMxAoSihx4dSCl+Tx8QaaadX2VFjp6NYzKwUHXMZlbHSAHVCkQzLVFForpIbLrT MzHqdx4DVsBN17pZ7F811RpQpaP2gaVSuuwpEWFsEmNEw1SLohAHOwaOrS82GgMT6Ah8ubaSzqrS 4ZvWFR5WfjbasVVPCTUyuOOSudzmA4uophGY/ufQV3AB8p2o9BrNaY2440zqGA8n9KNnkWC03eFR 3GDDb+yYL3mOeaskPRT0BkatRYxQXNzxqG70ptWaW68Fmoa/5KZoq9V5iPLp15q57jG/jLFlVGWg oWj4Wg/9Z1mybm0YjGK2+xWqZzFBEmyTZXZp8T3eJQQ8P3q90QVK+mkHvP8l4pCKzPEJd+do16Yr hjVRYYwsdG8Kvjqhk07oLyOemWmTTSnQJIcST+nCTixBbHE+rKo+hDrtGElE4sVApaayqAromduz iVQWt/GxAHSvV0nbAD8xOAbT14BiaIFkT1I3kxZA/Ynmv/wZsw+XF9JN9Q+3meTyHPRO1XRoIAfB frGBOCe/CLkHq5ISiyE1nH1cw6glNX38IEozEfMKPoSZJp28zgT902Rkq1RxKHC4fA9fpaUt4f5o 4MfYFQPRjgdBoqTfKGqzL8RgzR//mVomjQxz/PMBugH8pnG8h97GmWxBhYnRDLeaYXYwFP6w2swk 1cYYGielBeYcDNb/0Us2mx5/FSdtCUhyK3DBtGR2jh0GZ0WxoiKzb6KGkcykn/SiuIiIzxL1X6fg ilB/Uiianz5CAml2TsNN29sdDZuOQypUhABvlk5xuFHFuzmSr5mTT9GTIxdY7RoW4uHDMvUdN6b5 yOKMQXTmEkzVbeMVj9t44wANIAAHnM94UJwv3k6RWeN4KBzX3kvC4AaSvXghKrXuoczIur95MmIc iobxEWE3GG4dgAtBjSmpW9krkwdcwAYIkQh4E0oLP244IrkK5W7ri/yTFOzdWweLh+jXHrqhfYGG aK+oUsuYS5EKwW6ykOSV1iKPpORuKleiSS3B3AuhsEnsmDfaAw0oqjslxUI9bcJTsd1n7/d9oOPs jiuu2ZO90MPliN4CAORPJ1LctBCJ8fHPthSsNNH3H9DcnqJ0tpqGzFhZ0nVlEO6A1+laGdTsKYeE MLu/hXiTxjJoHETlctDNrCjZzNNj/B23PHpZzTLNJCVA3WYb+D1RF257o5U9qQO7lyKC/8zBZD1E PGgKd417DxYARJFl1kJ9oy4EfVCSP8/PIFTvqTPJQAzziarcygG1gfaO7/4w5tiNfm/IgFEB6TPF D4c55WIgteVBOHKilJTtZeb47R2jllMMLMCFdnVIB6LeFlr70Gl/JUdqvY7kx8NKd0m8iGVomUh9 /riELTQqx4da9PeXcDz6ew7VrL5Xa0GV/gzGiClLhpE1zBUl4sz+2enYZVzoQciC+YNzg41rbRy4 FdS9QMikuCj+Ckhnp3RnGADPhlSeJb1QO8QGd/atDVss/A3c+e2zmplHutPM1yPnChuVeG2CfUzM SMK8ixfCvhnSUYVbcs+ymiD7titR/wWjU+VS4eUCXnFSlavD6epIHC2wmf2OU0yjkIKkWvZ9xtFy GvMucDw8QiExUeQ7y7eVYt3lJ6e0wqzGMi3M3UiRoidwCLDWRHMWFqOO3Z48UkTwFAg36b/M7iOC jCkLoVVOoEv7/5Ie5XOKvAmXJBV63TKNHM4W1YoDu5zYAlRPnNkxZxRR5paWHUT3DpGRTBc33oB6 xnInSiTM387ZkE1whc71nInW+pzUIN5XIOROZBZ+T/vIzBr/fQ9HOjh+7qmzgf7ELft5J2JJ+Yjp iLsUo5lY5j/XNTg2YsaYrVh4YHj5CS5ao0lBuqD3u0a2WpM1cdsSJ4GzmT9i1bXRmZfj4aqHySBM A7FIIPOTUIcoIIgxPA8hdIpmXpOM2Rnvo02EJZ9mGI8opMxm3ZQZe9A46qsB+ZT/bFpM1+Fqei0b +F4hSSurMuqm75rH6CnWrNRlcYYBJ8eT5B7ARgqEXexX7gxYHfcvQACwJlIwcsIedjrtX29zNqiG Ru8rCjjCshEk7Z6ICwDJEfgTqkQdPHiBcJzdtVUY9URJXDEmlILutpg7Qq7YjLR6gUZ2uj8VljAq GeKuxNPQEzmP73eJ1yXZqfi5dLALatp4OW/4zc4IZq6k+7KjXLD+zVpbamVEO+49NtducBvITaOB UawNIrGIQvmONeu0f+L6npuzgxxQ3u2Mzu7/q6Uxn/+DGz5fyEI+po5NZRq0jVE4Q09yqLul7WlR AR6B2isQLhpg7Yqjcw7jEU+0BGA+oz68rrjEMqIdQ5r12o9AdN1lZyf8pjy7NG7s0OG1blBN54YW 7mCEXl4q7FgqSfjOcOp2aTVj1SanyfXbOpJ80x9Tb4/t5uL0Ab1PCT0T+kFp2W6nb8DrEAx+bntS SEEN9T1tI2IIXxqX8I6uRoEhwpmSnqAALX0TorGyVegCIXctcNp7duq+8MDzXKsVpHEuRHcwlIpu RT7pbyikPnY63RxZoqbgJXzuZEAZ4zUO8kjuv2qnUfSY54762ksQCWlJDG+xexDjbR0KdwLatW/Q mZ6c7mRdR18M1k9DGFTN6yqKYo1QzNuXmcuMh6qnwPPC6rADBjRqKv5+yjRgjAYLLjZk8BMCmGB9 o++F1YJTk6vXAcv3Pu2yiox9lU8MWRUaNjrTmzaSsbnsyezJ9BS1iFMBcgTiJq6Vg/CExWLu+9ld ILYKMrrsAlOYm7snQsa6Tb/bP/2ouAUwaYYFuB/Ua0jUIp7y2xHeVRAoSyCtjt82j07O3/su70uN itrkGdYh0HwcUcLXoLDk7KnWRTcK8nUbC3QHoYZAxunr9RU2OkzR8stmlijqyX6Lk0GjL5fqi7DV gLvgTj8vOwlj55cmOtVhnl0VgB5RIRppKG6EkhtmPEfSOfvsjuKLMAivJlENSf8u6gzKQO2UILhc Mjv4+tawYSp4vdtoulKErEVq+/8dguIVLMldHHAiUe7/0yP4OGd6tOhRqspE4v0VqH//H68qxqNW XuhOGejfOlL6kmjKzDyJKrphXDVaJ3wF9VVUvw7LcipgeSXY/ZCPCp+Q5TQvyGeMSuIdCMwAPgjV QVnqNfBjHr7hHtjIJy7muuGyBIy++82la3nyqvC/V5LtL3kzsQtD6FsSsMu8yXqWqDio+YYoQ2YX x26eWJwG2dffRaMw2/fYxLtmChF8tbVlw7WHre/BPwLAIuvKyQ11ZGB7p2kWHLcBFkhF61URVz60 dFBSJmjHyD6KZ/Ll03P0UFLvvR/UNqp/IjFb0JQGNhfCjyaHSvwpnOMxvc+GKHCSELrj01YQXzU0 SJjqqACi3H96SKgxVapeaEsKhkB8u6HKrV0rQA5GcjFsWGf5wvT4oUVHq2j4ggOG5qSLDE44Idkd rNxhne+oRnLhCRTN10azVHAujAhj3NYLYqXIpaC/J0Yh1RY2qLMWb7OmOh7+SacUtRk7OmFFA/H3 dnOydoInYd9YocImXctIO6/RGB0y9i0bHYCXGQG/DT6Sl4kCp1ZmXr2kFk2XGEHlYeQYmFnCeSPy RAU2XMK7tz9tyGAa4NDd/r1us1CXl7V9YMs/YQSH51uZqGgGTzN5kgHMIdzJ8927enPkTLFjg9Ga utaqFC0HYPa75UcDl6iyqe96iAAuiynEshWy1xnmlRoonR7SPJc0xLbb3Y/pXXY4aNxTkq7aXny1 Dlw/8ZL34FqH5Pbi/IGkKzs3iygHkTWxGz9BpbA2vWpgMgbe60L5qJNlqM66rQU+68K3EUfzwgkP ntf9SaVVvGaPkMkDzHLfSMCXjBmSb9lQj4QO5AERfnvPellaX7Vzl8RPVrySWyyLrWmgBr6psDEb xK5Q3eOTKa9ousP7Cz+SLjmIfDHFLudd3hyMfVSTe9+rtE/QbpEQ9mXRYbopeyOV9K3cvXhHiFzh OsBROdehQuuYtjv6gZyd/LJ5Zfl6PXe7zmWmQXx/gKHzclG9QO8sm4vVlwW+SunMUavYSe2uZFjg u6ptn3ojUtodHNxtNfX4yEbW2nxsvpDZE2098vnVEacar/O5T8f4TB9xqOVGrpYP6CvXJctWOSOw yfEdjcFywoZmvB7G1XaLoiujK0tVV9EQ7N4DCIDdEFPtzOo25368Gstuxm2RskOWDeboOF75doVE 6kWKar6Ey2ZNZsiDm06d5phmnypWNLFpdk4T3VQI5+9Nk8j6gJSJxSS3DVKNJiskYV/Gjp1twvGK Zu/cJn9FbvZvqGmsC1TmS1XfSF30XXsjBtczwjRSQYfkobXOkNh2kQuGgkOxBksgeOwYqjebmwfE 8l3cKgSKI8Iu1vdv6+jlkYBh/XDTtXUVKrr5V9fnwGa0x+mrgHYHQmohoUD1sRFctf5BvDNhLCYo e95qHLpQ0ZBq2N0pGQieeBsqfbO+C7L4fuMkXRjhhPShgpnzveSCqSP+dFgs2CELTnrapGxCsz8i UVoP0BmoWob4d+1DhQYSiLoJRTotyolJNqgBsPWnY/V9qiUWKJySdMTBGQ/7jTd/fhRuCitsCCL+ 3xAVsACAYVYf4QcyoQCQQ0Vf3EM0YU/ZdJd1AVobnib3cT0lcEr51+hcShSBja2XlXnfD6DPAqwz 3aBMzq4vASw7TFxzIGiFAPFIXLDvCfW1mFY56Tak3jn5HV49/smbYvF1LLzcqsoEuLpv1HHZmhEr h8WJ/ALV6Cku9Vkrwa1EGvOfIpcRnx94vf2GjXcsL2TDenYM+/GxMP8g0x3aFiQj8aZvGT2456sA 49pPK3IPEuut7xP5gCWn6pQ8mxFDuPneMzCRQa1BROtJhHSCn3TvdInUuxpyuZ/TgshWoZj/yCv8 lFt+8ZwfD0jO8er2BR5NrX8CEAxN9aYc4NB97DkzJswtyo/mSmilUVYDS7ZdD1HUebGotHKC2trm 1LZL//oppwgp5pTdRFZVGznWnd6ykcBu+eqKQOQ9CgPb/3YMUhBhvqZ52mQAbs0mTkn/1QsFA3BR aIgdy7/r2iVDOmadiYudJ77eR1JahRbDkjTLlUhA78TZnjiKM43CRgH0zzZjEsfQPmKfYNdhvw0V 76gP6glFM/kjZtVRxxyqHFUuJYMtoiEERGgzXKWypaFXJdxOhEnznSwhT8+Q22rltGAZ/Pj4oWaz 7jIMKVMA0CyddrztlopN/NgxiC+yBSIkPrUfZ+bAZJXdxsEBKUqAWiIaa8zfGE8lD+lIDhD1QBg4 YcwezTPmwiRQm1usT5gpCHe9hQziG3lbHax+npivBuGxIJLIrjdyB+/WewZ+V/BIJhbXjfU+rkaX 09EkaY0avsmJ26xpzOcZoBfdH4z7GEsYuSu2tuIktDPqtldxBp942yxbrLoYwF4OHWgmabkaoH+/ +mhsbqPGAWhRlXJpMwhRtErsp9gGdmK7+5vLMnuNftbXVEIEdL08cKDOmGAcTtHab7WMi9Oypuyk mHD2LqXKQQRzyb79uG8TZzjses08EMzwmDYJUlGB/aFAZ1rMcRjJqMkuXNj4vu3yizIi5HnOH9HM JcNGAUlizeWXslRIRRcKVyH809JpTpxS4pnakXmbtdbKZK3PCMxmRqrRNTuXr75RfE4idsQYb3Iy +nLbLEvgHHJBb5mjHvgZJVguDQgslDXU8QakyboCoGG57AP/3BdKtvVSKiL1IzUMqfCB91Ur9Kf7 pVChE2Q4d0tdAaCAYlB88BbiVCwOt3qZwdm4lEuqgNgVJ1horKBKAYTHEmyQ9H6se0VJR4VZxPQ9 YKrzlLIVchMfmAhhUrqChRudbG8ufCOBsV/siZVkkFnpr/lvj22qnZFEJLfjDnWVBCxk4DRjpdiP wR1GD0C/Tw+E6C2JIOO6nlKQl7opvEPV5bgYpfDPYK1iL634Saiebq0S+x83BVC2xxqaLwKvSKFY JSaeuj2BUoSN0MCKgkFABr4a/DqFLRTE03N+ODuvezTtu30TrskQ3gK9LO79TO45uHsPb4IERadb EWUOl7PB7pQweUQrnUzYNGj3PcLtwmBVASrUERCZx+LtAz3ZgwMY7h6V4htuh1km1xZM4DcL4gc3 upplmLq2GQLR2s0AblIFxoAyFNUS7l5SSeuKm3RJqgopltJhLu2kUxD0dFJ0uVTmdRk+TC38T5nK MJzRx7sGx+VtFrN1Aut7XRZO1/2ycfrR7KuDYZL95qWuNh9Pyq4I9dfew102ArU+VQQCUqvlodod JaSda4DcaCcrEEZi0Tk4WE7mm9zKxL7aAY+ZItXCvxsrf5BkNHRWrGw1xAv0uWGcwPPv2n0z6q6c TN+nNjJ/415u+kBVzhqYhOmwF4+JBo35k6W3fwyGl/MpKxp81OQXQuNAaJ1dQ19jbWDbqQqzYSfv xsCNqkGceii3y6x81EM5xUv/0IQsvzURvifhvJU6h+No4zY7/rWEVJvwK+IrGe+5SMA2qgTV8jM/ G736Bc+kFuS/be+/y/bowYeQ7zEBTvYy4eHZUiu2WRXW7RVlguH0drSIcOlfIknv5K4/i6F+1MhU 65JIIPVjlaVxjbuhhVS7CW7Pfo4dXYXpTfbd5xl7wbxTT4rQt1bTmcWVk0G9Rq1I9G7Rr3GE0HII +Yxq4ev9qZ8X9YcLj8GXsPiD4a7S2tPGSg5afQz45iIZCcbz//757m0stbRtaq2DTwZm/c3xQdsV XBeflc8DgCnMQ6e4WfR75iieIpxwcqDXoXCr4e4gzDE0+iwTip8RnrfjD6AJQmu42nJ6Kqh9/CpE SxDJp3zbuAey2l1MxzF7XC2P5I6X4r4lNy5VmKG1xb+PAh57fQQe+Bzvp+CflEgCB575zHq7A9Fp gh8P+PohVwXkUm64GW0dVaD/Cok57XXR3JHL235beReZjKN/mL9bkOjrmCPu0qZ62QQeEGdtXtD2 89yESTxq28bty/kMlY9xhlgB3eiIWekvmS5KhzkuZpv/vcGRPKcfddyM8M7/DAror6spCR9S51ZI f+lnSyJW0IzLUw+mqGXfL68U48jwD+06zn9nvylWOP8oEvg4cinKQlMmcmggrS/x4N9kZthO3uVV nplcuFjFX0EI3PbSmYGYr3YImjhCvqSrYAiQfivcmw6ObtfChviiQMoplqKu2pI7ZeeDKzGwTUV3 /p7MztYDGGl/1rxk5XrMz9lLwyIDF8x2EAPs+kPO4TmT5GHJTY68pRmEWV9vjSVRLIvij5Y7UyGi CP8b/UHW9YeLdui2ryzKXHUgXg+/67mujlaEGw3ZTGjTs9fqk1tsyMKehcAWbc+KYZmTQRubf5ET NO1FvLLoqSzJgJkq+TYx88Dd8EgZm5usPE6FyvuU0Vy0Xf6+JerakQ+12dpY9sdcFTLyasY1SsBF Fh051ErwlNwLAaNF2R4b3GEKiSFiXHHsikqP5lgJ/7Q14eFvBlBI1UkS8D8o2r234oT01m/Gt1+5 u8ShBFS1nucb7b+NRcIsrCylLInY/uGALG/u8heQdN5jVwaqttqe7POaAjnxJmFygLW8NGwVXpHb oSz4r8HcI5K5KxylugDHKl6KHr6m8o+LmcIO5KZ5rIbAHpT2AsuNphTuX9No1ApxJU7IEMH6CDzG wJXjt/mJhnL0OuGfItjp65PSqx75G8RCI1PgrwSKCwBg/l+eA97813Yajq3vaHWjobXr/hSdYgnF awxrmxr8HsIPXKIreMdsk67dxESe0YrG1LPaydZszlSvMBOVRqUemXQm9d8J1+jWCiYCMmWMgrXp iPp5h6k9evExvIeeADNqd7JDdtg66Q9hKbfSa8Wo/gOGvghVOFVChEj35tEg5yr53Ne3fSHlXdq4 JIEBZqx0zqhRxQsdTuK3ExTmrCKsvvzcWhZO7+ETjG59p+OqIbLO8DjFSCKV0syAmfE2N3pAbdXd ISa0v4RJw3Y/Hg4838hXUwr1dbeRiQUdOBf1yq3q4bb14j148MMyqL9aOisR2vwW7jQ6JveqqMrV GMLGga/dXmHYYlS4vyd3RtRQsoTcMtQpn7DIcG+pukB95gVc1i4zwXwZbSEjOCQD0wCLEpnVWs+b vzKyuOe9XimmqorBIjPQf+jtjj4YGxtb58al2DpQMySi99Yq+uRW66dIIwjDEDlun8shGs2HHBlz E+JS9y+MmHh7B2SSRegpc7lKpvQTBb3LJ8EFAOLyYP4oXrlCT1XizFXoi3NclsBFZ2uLjzflCM6m m6ZeTV2ldS+lMkM2cTxlAA+kN0kyADLqd/zhgC0Kj/4Rw/38NTcpMDecLdf3SBGLnYJxUakYWq+j /wBlRzOkGLULj/GUQSZMwYxxLd5SBz7VXoCdX2mOCMPtHYoRZr7UWs0AgSWVAtkgjlrd4DTCg6BP bG5Q5PYOqg5G/wS6fUO+Y9B9+2tU5TdbQhVlOx4fCFyBKWr9izW0oFBmnxnrYn/Rp46KlKZ9ZREY YRzwbuWw27L8gKkjwy9EFQs1FlpyLHVXOefeddITRPXbkrfm+2WB+8y3HE0rPgWhg3cHo6mouHTe OYSTN1riIax33XJUxvuZw9kSklnI7+MfH1P2DhEa+K/z66cW7SZcLRmRdGvA4kWfmnV5xuSP5Z3Q QfZGsy6MRE2zr3rNbW1Thr3DH/e34pDYxhnJWJz25R49Yb7WPqZIeDLU1nAnLo6fhvg9vHhVQfFi GKYBm2NUA9Xh5ImD8DKXSrSOOAGVnYX10okcgLKO2NDhUJchAJ9q0OqJhFzxNBf6XlwBKfkkK/t+ wrGaaXU6sgPnJmh1ET3SZrRycOLZ5h8nYfAp+XqMMNaT43B95C8NKojDE/2B/tucO2/GExhTleTR OJEvWWfddp9a2GOTP8qCqUj/XodEQYsmumzXK/3hijJ9HUlo4ow8sx3JA9CAuDlfB1WrA3K28uA/ ac/yrgXYgyhXk8Eg625kPJE5ua77VL2PnEOc8zNdadfiYpp0DdD/2MtKOWAMHweTZnfZnrJ4OfUN 7EmKC0I69NMfWRG3aZogVN1VPvoASfUf4+5HKPkz8EE+9uNmV5huRh5d0oufxz3jnsw+cAoeyJ/y oWDOX79nDPQIJiVwltU04TAM8sYaRHA0W22vVImwxj58ba8rvqAdCp9y6aL363XQyE2RgVUkwGAj VOtPnAQdUDFs0S8wRqADY0m6CCdjg0tNbDOzkpK+F+j3j2VHG4DptVII00VUYLu87MPg5tTBP1Mi bAwBkmoQShrxv0snTOcDiim6wGsWroa89nvLTxew6LNP4RsBZOutFdkYmID/0CUsJ44eUU91W1Lm DGYR2i1K8ueeehRQRtfN3x6bmozFGks7WpQJ6S1jvCAX1JPyWfLLOfpBvU6OTOjvANTguP7ogBXJ J7IOr/zaeLKwltmt2okarAdeeQ6MC0oNFRIB2709WMPSp+s+c3X51N/rVU0v23kZsyRViCl2P6Av IPj/XPriBRHUYvOwVBXryqMCyyVLdJ9+Vce/r3Ibu+DsMqObADpNmjlYSOS+D847l8OSP7quYrzA A4pfNSg4aMsxPXqK1b9rqLUrVNU9QviJyqoig7mI1VtPFy5Z14YhDG+dsO8t1D3jLmguqX1ejbof G3K70TDq7PCgCqSQQovLUp4x4B4kPVQ+OOHGLxqVY6Skd/sKS5RUtK+oeHELV+qlubP2FybFM5HF +SjiUng5vVDqNgYVSK1yL7YYDgf6prYcMgYArKBYdSsETiTfFbUcz7F3VX1rkT0AqK7ERbdHiNh+ DMXHUWaQmjryl31TekbnuYB7+cRk4KZReR+3pOSxXYvc/rH08WvoyJZaH8uktHkBw4IubEnwAkyD WbV49u1T3Q9ZEcrEIOIQehCXo2R02dE8CvZxdgzw9WHwsotkn4G1Taj4WbdMi7Bmoj4JLzxX9At8 La4CJWjEPBCfDc2VPT1y/FpImU0m+a5s6cFuhziNsey2aIRz9S2Okp5MmcLs0xtRftbX1c63EekT E+GGMVnNV5GtDK9NxpzOAVOGWzKDMszG1ljNMESnhcapwT11Wg0mk/LaUee0I5/Qos1sMz0utD7Z 3aFZ39EP1yXvXhx9dpoYok7avTSzy+FSzy5jtUT5SoiJTmUqjSD1KTLDqEAeXhobT1NpozjVj+qK qr6uwoN+FdZ+dZISdoBIwwC7lIp5n51czUCc4qMCSr+OuNYPcHdW57WQM+weVG/98O0jeFg/gzUt YEm4wANyC7AhYw9zWqmtM8gcV95kjc1L1y2Nh5EwhG4OQowxjjIQmHX2hSqtHGjtQWtZzOX1bhCW 4bug+MDLuyZaI8xPeN1IH/mSAdV/1fcllboYdC1agkYMnvHeZoIbqaFcZCsCi3//CyKRIA5qT9GK fataAUALfZtnc3YOvZB+XY4lgNRLhjUE/V1leeOELFpCC0EnXw/tiq158Hj1YWhlxs6EbEhxESSZ EVlJc/BUJbret8iXByA5mbbTOkOGA/TaYClaSuS90oztYy/2q0qjsE2OkPPgt0WczqgwCLp9HgiX sLJ7OR8xF0h3aK2BUjVVN1i8VGVUlYoynKaXt3a0RjTWSTPQyylTWJ+6GYzAIhKbjJpwff7RrjE+ ut6bQpw+fVNj/YLd7mwGUNXFo5T3KzXOYnUl+1vP+d7sz/Pg+W82dw0Xn51pIXwpSbhTtMlXCYye FjdwP9OkHoalWXHs9ebmzKrsVXbAWrtUE1HHUpd1I/fJeaLEyCw8Ui8e+mYk8k3BN3AQiEAOzukc me46Iq1Fjz30LaJkLvOD1y/iuWVWRvdXLwZCuMWWFa4K81hQUXbzR/3aJx8gmkrQs4IgjaJ9UU0O Y8/hOt2A2no1dTj5qYA1vJ7VE0/t7qfmXDRw1Nbvq7Epd7PYhXdeg4Lm1A/ShmJGhrusG8ejADQS EXRnpiojdbVshl6QKkt0446oqgXS9ByJknKtUO785N1DImBI8R3XsxKbbtxcX+cyReSge289eQ24 2UiUo89Vj6v8XiJBcsIShiOolh8CciE/5SAJQ8BSPfgW5Km1iiWmK1NlHPaWffq/EQQi5LpDwYpL Q7BdiwpZuJVlvBrF0L9gOuoDnDUFk9enAriEzAdZronxkdnukR4Hje4Vp7xvKMXriLGfAQQpfPfW 1v/3lJRRVGQ8v/qRgd47co8hsNIrJzLIiM/fRIsQ90iNBNDKcYNzorENk2Oqah7/FShXU//M5P7P oVEGyXI7m5fNypjQ5vr2xTh0CWsa2nwFJ6aVBEgfO15EFVKLILpe1mY5Kcl+nQ5hfZdhXIl/T4O0 GC0XY8KO/2VyC47PXic2DZjNMwuRjNDV2tAgJdNPFteMv3l8D20IKwVj/KQHV1EwZr+/420aOmf6 YGR97+Ep5+2uKIoymtRCSl5lxWKREkHUc1LJvwd6Oh35q4a2HXoxNYNjnh9qhakl3dhfGLXnRHu7 OCbYzzIb9W3mEAr040XnfCoUiuBsoen2rkIWaeXov4cszX2gpMh7ta4z8qLWfK9+qHWEvbaFV2Bd +dajPAHtutGv91R/vTGAy0BkQaEwwG/NJTPNbu7izxaUoTyDGQUSW40aK4w43TCvLRAh8st90Qvp rsjCBF2/U8fou6JC01qwXOT2NS6eQJVcsUybUx3Yg2f1jWzzESCmdI1SEUjsxOy8blZXXKlN0T1T /9aKjehGo5N60rY1TwfqaD9LBDse2p7Npi/1ZPBRT4Ij57uZnz42o3TBbRiyq1sYN9rPjA+w7xd7 QD7FlMWkoJ7hbEREbYaxNRGK/RyyPb5Gzg4nUdYb5Se2vXltTG8kj1Km/TNNQWHQNZg87PlP26y+ WplLvvXaNR1oF/yy6Nl2EQuDh/wNADDVkhlLUTDE9fetyVTBSZdt5Be9N1X7NDpmsEEYfw9iDrEQ JvtNZoeMXJR2xoW/MxkTh754pED0SHubUz55Fp65NPPYpbdnGxjUpqkUXKazL6rsEDyZsy7mbvVW dU5C/7iWkFwOpdL5lHLoZAg3GPMMPToHrOJZuy2i1STi+OGfGX9qFmqyEk70PSI44+Ho7vEBNhds gDnimURaLdA46RWWdAh9hSPqIVmnv7lnsxIZBFZaJuPg6hLApHYiRI/qvmE75u1lnoUUo5NrupcF AxbMwwGHXP8cQFi8a2v+GzG25hCv0fxQuzRArMO6I7Bntw9rTniNyZ8zBg1B2hvSYZiWzdl/fsrN ytdnRx9nI1p+wXZlDsVvRhTPJZktaD7vcAfPRXVX6NXt99MziRBuH4gBvDc/wKj6ZqqoNnZina6/ iRTdLGRwnPKbgRhtxp5bAS0lmJHVXePJOKIL2qg7n5Kn9S5IFvAU8eQpiJuAEtAUHgBVEP1dFhNu qNKK9QLweErNOCMPdPGopOQGGyz1c7VAIECU2Qko4DiLpokL+w0BMIpaiggFEjIYcifZ7VSHWawc IN8P4Zfr4z6Zxa9yPurJIXXz+ztv9VjDDynywZ6PTLxUD4qXDFyKdfD1NUkc3zChIMdNMmRRKpDE os0i5OlyQaAHDs3zbMAxPibFADsIsDmkgnDSlkMnbXJ0Bmhn3I5tVGORla9s4rAd0S2+ERgEGHoY bppbTTC0p4CXtACBPvJ+OLVBKFk9iStJWNQrx4q6Ugehzw8lsQ5DeMowy/ofy4ZcPyY87ZAsvEAE YAW/fSBCfi4Iw/vi6Qn6LaNbhT/PIMU4AyHhpOjRlqbNXj7Dc23Tentbj6xS1QJKGC8HdPlBvp5N CiqZoNxVI/+TVUvSFdsBHx4vV5Iv97apv5kcyNeZdkndJeDi4KDczzCHq0BKgC/g1S0hH02IfaS5 Vpnlk0qGnSOakPzyPVpG6jz/ZrnHwGu2vL43nlPrnyVzDOe87D1daF5wjL+B2n1xIpB7G0Bf63nK dNaRVEkZ0a+DBAdarIGqu8o1bUerWgZR6+RxbaGR10Fgd0v/x5x6ViMGbhYXfiikxJ5enGpfI/1c 7sAJpI2Ty8GntN1HeN8jFXMc+QJ2PTXyHLELqoAHC2RoKt9UtPSKWgqsfLKSQUsdSAid7ZeAZWG3 wxYkR/I7W92j2Ee5CCDxeqNEMMVRW8q3YK9jasBm/95bjmHytTty7NM/1w3lcGPUuDglwGgJRe+2 2gjAh5Lhv6s3y1G31/qFtivKf5KLFRqWvl2lW6PTyeh/tXMHBpB2SVvgdBtp8Ib7MnEwpKf8g2/q 69zH55YACqykg1i8RC9AtHBjtEpzo+sDb/UiX19dGk+gmPfnsKTlzPArBAe1h5auGD5TEblb68WB 8XjMegUmOjnFFI2KG3XSRlKNjmFyxcgpXmq0dr6T52IP+aR/cxHkDZDx//uokYEWpDOmJ4Te9ytz cdXbVMaR+OzqFn+1m2w4Vpp1nrD0zfunWE4LOD63CmYh93AKD6hb0QC3DOHVXJ20mMPfAjxVmkl3 99k+xTfcWOf8choMSpKchCKpIvzI6O/pW7FJNtYf/5OemQaqpK7XSL5AL+ha7qaTf1q456VmRX55 1yePW2HerPsva9cpV2AyDsYQz/sPFOgimRLfFDiDAjWAYjN139ak8QF0Yl5AMi9M7lVMUaZgWV44 c7sgw1oejCWgie9TbpLWkc0g2U57jj1iGrpJc2ycnoO8CyanGOWHhvp0rLwJWhwWvnFmY6lQjsBF TOe//xx20wFoDv2o+zqybUdVWjgJlu7A3SQd6aa+LVA4yWJk74XcGP0h8BkDKrA/+zVz27jcgzAD h7khj2ra/OH4h/wFTpUwPkTLDG2k/MDl5WGsArU8r7QNXu9YAfcN/1G+eCpRpwL5ZDL/LKctb+0O DUtQH13PFx0nnMTRY37uIEyb58bnFK80Q3KmO1UTJ5dnPKTP3rL0/zatHmmfzCdaGQRdSTPexUzk Ju5TfD0Aj4UZqz1SbVpCwJ2XxlC5s6W69jzZg45az7RmUudOpFDhxRbRWH4kBP8S/JTEvXTqR9Ny HpNh/hEBqod0xxayVjsDg6xWsWpUuH2y3KEhhTi11tlYbH05QexbX9IQ6SBXdY3IjPkyOWUYgH3f vkA2i3pSwnD5TM4uz8kflzlW6i6cIrsuu22PfUakCTshtaeBhpWXOYZv/enVwktT/ljypVUTYuoD CMZjE0SCN3ZXycFqxyLLKvHtH0aaIV02yPG0Dk8lg2ieGSExlnUHTjAeuHssCs60u1U5sf6QljUn Eui+t9rpChOBT5Fju3LSetlEHG7yqfRgIFn2fZx6XFxPTDN5+ImKzbs+ihi1v+5QIrXoiiL2XGon Ndx/YHqxd+9VmOeFpmWWWMALECn5pcet7wMV3I0y8pPzQbsynp0GGvYAiPcFPsBkOhdEmjRHypcS YwUXISUSHlqWicB1L2AS9OIgTLTtkcnIgoe25nF6akbeQRLuAnbQ3BM3B96fFXIFiJW457TrkTUH Kso54J7d0mZIqim9C1tAuKH6zsYJg9jBsPse89Z90YCbghusKWNOW54XAEhJLC0mfZCoNxz/ieaA e4Sl2YfoY7vpoJNV4ZZkejM23aunFKwvfZcux+RtuF37Z9wrOZHLAmrIJ7Ae4VSTuhdD0joSfKDY vzCRRHnugeh9YYuZDRcY837NWc1sygzaWGRCvnTkAbbCvUi8u+jcdaRRJZfZ1yNQgdOGv9naL+4Z rjYTN2NOUznZUVvChF/nPncarv8kKHCMukStDJ4bqBhnDFyfKWkr7pZ5WN1NIoqjq93IH98xBZiw zA5nikfeTGcLJ/E6uQiDRVAj1gef4pfIKsFo5+5/Zo8WzaJji2TLGcO593BVxI8SW5bQ+vYsZegA /oLKfKFZHSOVBRm606cfSssAsGQ8sQuZc+LC+yH+St40/MlEb3/gAp1XBdMYRBvi9qERzTkmnj5y mT+4ndjdCONvmFPfbBmNYfSx3ghWBdHU9qBtC4M0pe9VPdyPyLeGt3Fkr3xuHyk73UiGCa+pMS+U Qh9Knn68xYzXH58CtLOukhMAMt5g7krRCax4miOn77NNGHwC2FQqnVhCN+z0mLDJJhATTmTwjGIy glIPEs0sxnC8Ey6eqzuCGwKmf8nMooxxLd4lGj5zVYTh8YIZ3lY2KhcPKjqdnn5+AgbDUb+LwWp1 760osiTZRkeNI7mkGr6Gx8AOGl7FYCVKhosBDaKN+R118M8iD/R6Vo4VMH3QgNOC8OB4iwU1z/R6 hjyB/hjyIPLZ2yISTwXOYJ2iusWCcg6tz/TuN1KzvyxeZXxGeO0vqHTijjEnZqpxmxxiAljpaTQQ UEe+ZT3RIitaLCQ6ASwjRYeoEYolPbhs2CuQpNK1SIofICcvXfweg+tJ75WK6oIsb0AVoKwhgEFi NjVELbu0Vz5UJRB0fJx3uU79XgG6CtZKF8j7Hy0OYgc1lger3PzykvwKQqHTLbItTKoto5X5zdYh rYWp7zx2uPd7YjP8RTMan35SGtgL4VXy3D5MsGp6eeEFP08rEgNnRDYLjssQE2blxGFosGBSv6DV J9Gud5s+Vlx3XY1WicBVFd+PXQ5jQVEwrtVEeHX6kIXaLexKQZJfcwFYmuQ+Srikx9C31hhMdale nTCxGlGtwYRZJfQSo0Y7LoUyVLq3+XK4Euq7RRQ90B8vAbaHnhtTX5wLESrkmh69QLJqvceiqD/V uE+AiVC3rigsmaXq3wE5tXKtcpOj1zuIUNCIG1kmp9E20HT3WEMx22qDTWdqTNos01uKhfFeLpS0 tKRvUVeKmzmL55aeEiNJzsloIVYWpvGrwFgJBz+zgpU13Upq0saJadhPV35VrShMIUkYwT6Y+Dtk OtWbDvHapvBsHE5mNA60kzTQSScrWXPTWN4d6Uz0TSUa7DAu5uwKxPQJ7/G8WvtF1TQ4KE3WijXh iNJMXimhzr4FqXksvyBdXEYlQl0NCcRU/CODCQtvY1APQrgKDzfbImrB1Y12N4WokUpBNrsPYtJf 6n4YDPG3mqLEKWRApdCv1/dTlP9kECDAQUpuztFAasag4tQAbozvGhw5QM/DygbFSPIUKGOYzXjS Kz21xgPRIJ6vhr2pHU7wqVO5ZFuv9v5cMTBiOADAPcRq1nFcBhIHQGVj6I1XbOF+3LDon62ujVx+ EsN8CyP3wM3XS/PgIjbXSaa3NsHS8Rkfp+rq9uw/p4qk7YCWYX8VXmizaUueeyfh01rNXdLP2brX mFAn0qlqfHhA/WYhcAMQVpSvv32uTtGV8nzNfgDoRg7Szj/+wyDwNnjams5psp8/3Df5ULPcHfxC L2teHCUFnyBTPaUsvgIo2zLbAmO8edONKnqq2ywMEnqCMpw5A/HSPKsLOKD9l3b7ST4BWuvnsft+ A5W+QJ67AbAjfgf/+xokSpPMI19sRNgbIC9vvD/fg00OX/Vn0AUIwug2e/DOpPjuvkWs2GzbmnfU GbHFdOqE2Dj0TWPAnk+5CzGjPe/sFZI0x/143CU1aKOjB7TSXX03+pqB378BV7hwQWU6i9FEdzJi mbC5TSbDGhgAYYRzfkk8blNbMngSSG8RjnlUoK0Ep/Jq7urANEMyDBsrjQxHYBqrJRpn83rWVYnR QKJm6W56dZlc5CCWEOonc7IrI+fktlOIe+hmKr2lfN4RzdP38SZSHBT/MpzI46Ogx+WHZooAH8DV 30cYPHhYa+GfZ2PUW9UlZumCj9LFQQ4uPAQhsjvzcAu7XyW9LIzjiMnctGK57uv3IsAVC8iuwMyw Hrx2PXdD55+TZL6Vgvsp8cIMrgVmVzpHh09UIvfKeBSD/FShTPjT49Y4sKKtBp20NL8kGcnbxnmU ohdqZt2prfY7mj821uQmW/KifxC6aO3BVWS0KKsS6aTClF+2NVyMQY0tUb90UAT1hX5BLNMBjDeQ WWrfv+kZVpi8p31a0CQ1WUiD3LsNvJnx/ao1oLb/VXhPDqlNSXt9XD5eSFt/ifT1botWGG9ZxaNh MIUEJgNvva1Y8Dwl0sz7QVeWJeYcZdblk/238szAmdvzPH9JFKquErT0mLyGua9yTJ4jqgvhs5Z0 G5/eFrBgJXtqJZjPJuzIOu+XX+/NeP7A0EPnlk9a7LXYNmgbyEE/rrcuMCzGs+mKsrn2XvtlFgfH FiDfGmWwub++09MLYmTyQcHrmy1pZhhN1TMcMDMJgqmxmvji5Q16YS6WLO+dBZVsKq4ebZroW6Ly QjpQyxrzlkeIDQnVND8kXHPpn5lBCgf+Wuj08WOvUPcZZq3uXuKNUdrinOVKBNeQ3WaiMN/qwDrp C5EutxqfUqbQ0mu85/2wF6pnDM7s0+nGsq2L2MOkqnBnGUDMlMX/p/cHFB/TNhixNoJe8BZPMkgY 3GorXwFgxzjml0fUert52IpfauLZsitOZfZTnXLw5tMUGx7PF9FbVhM/FzzTwsvRZHBfuGaYMNV0 d307VWk2pJhdzN/ddBODCxCIZeDVJmOTsXxj9yB/hwFpo1V0/v/J2Gy3iFFhCJPEsQyvP4/A03wY 6HtI1K5aQzEGPRzRXMqwqFt5rxHrGXSvfed3PVLf3EL0127QKVLd8tqMWE88bgx8+pfSBN9Zqkqp uDeoeTRuef8WBreekei0F87C4jyJKs7JxcIbOZolEO/s5HD1umgsvia9eBnHpaUzWyRaK8QxPe35 /buQVlGg3EfqkbWNGlBwSZv9dV9r8nAZQX8SjwjNYcY1Y1UYe4wXDmj9a/iqN7bRJdPqeUHlFCPX 29NUVkfTJ53jwQVbPbEWOIsxZbGiAQ6Y4J0Vb7gtPuhbX7ohDvEDUosqEQy/BUHaqw7xui4aNK5c 9f4AIRtHGe6IC42wLZMy6gGQ8YGbIN+yYc3UDsDGf/DyH7w9He3+mEdR35vOv09IfdZ2Qsdce9lQ 9fobZkNhTcrfDR0L7MS3as/rZ8E9F7Hp3scQ1pun1VoljI0H9mrqzU4Fp9UuxtCHpe6Rd96++/bk Ij+O93yNLPREs/73bH8EYUXdhHURMxFD1Ly4uWkBn4kV2i8PEiQ5vtW0i4jzFz8SkEUfs375zDvt 8kkWU9ZKU2lkn1vdSr6Q+YCsqBGljSETd/I97/ITLAXcNkl7rXmblNucmxjbO/tiUtvEvheWfo53 0hosjyxfKSexWTL0vikgnQm/nhu9uesbgi6Ix+4iIPHznKBaZ0JNGO3eOFLWnSOI/Lwrhf9pVo5R PPulekYF/CuoQrapG5lQsH5xn+K3vyAb+xiEwwy/d24/YPYkUkVdg1RC4DycpXnFIqhVFi4hbjuy kJIMfm7CIJex2S44MR5kVa9z0d6hKO8pNwyLMVe62fvh500b65TMvkifOwHAzMInuraTb1Qu9Bta Fo4grkMhfzNWAWVw0uL/8iCj/8S3O7NEFvOnyEeWvE3Wkmw9y+/WwiHWW6mBwmfmBlUmydvwQyK8 2yZphArB/sYY8Fy41NS7j7Ndm6PCQN29nGkbs0O7Gksyi6FssfM0weDkVvPESxkf10brd97/yn8w BRY/Stuto/q7fOO4tPKOXCHjS30j9V3LNsJHFhVRFneiWeTRDHkolzUoUOvhce20ET6PdA1Rvh0b ppWA9aHk5xAtxnuU52/rYdg/zENafQURYidmRICao87dA6d8m90WabdnV3YfN+RkUjBk08gbOvHg MvOwnQf1usTsnBp3j4LJpjjxJrKPaKweKxiWO9XyMBnFBfLErmH1z58bRGxBQ61Erl//Dd4rgd4P lVxRZzIdjhOo0mujAQtPZ8clBDNCAj6lXf5gMFYNGGmI7tn9hBGaMOtdBh4KurfSzE6FoqEbxeDc xAkmy4umsQx9KfL+2bKdITiZG1teTom+Z+xb9IuT3hwKVIQhjOJ+FhnDghVWhv4R1iMrw/jqMN4R aGs96Wk3+mrv9/J3uwkLAWFQooU6lCLq2RubtjYcVk0OPhohupGY6WSc4nCio8WBEYqM20TAc36/ WeMxRn1WYVCvjrknNJvSpgMtHrwZ2GVYDDb7b/CVd06TgAMoH8f74R2vOFjWyGQVWhEOuViPdmtd S3Q11G144xajOIN2/e7Mpzh/PsFJwaso3E+0nxPwGesMiSrZNRp9XT3Ar5fuYeNJ9denmK6DMrGG as3WM6UUkUy3frPwmX2NSflWcbq6MOoZDcbTa7E/asGO9N61OckVYYhd97/9ZUr1lcEJExDGVVJv yhAwkeafA43G6t1SdwezCQ3xaY5GYMi+321o3AOhaUslzgeGiUe+XIJk1elTdbjdNVLTt5VbZp0l 7AffMATR9oRxHNwZFXIKzbhPCvTjAdjq7dDf77sdr+Rf2nMAQeITThbbPzjw9LX9kK2o9ALFVH/6 C2biKZYuS/+2sBqoCK/w+2fI115dyFOxppRWRUMBVcCc15+F46uZDtMmoJPoKINm3Ys6qM8aPgXO tZcTe1s66fjJxZ6fawzUPIPhqzF+tNDBmr/WcLo8NnWj5BYTE6k+SOAunYfnsWCdwkjyGnnprlss niHmecQZ3inwiyeU51iT3uB5Ep1v927Q3AYs5Ko53RcGFLqpDGrwLjk/fab0wEfQhO5euS6DF8Lp 38jRbekL3tzkI7A3xly2MnLA3Yqv1ETXsucC05Bm1KTKgloWftTGKRJAbkLKM1jpiCPg6olWlBRq bjTH6R5YTwIeEAyi+SltkMLO6gpDVmfb95QdD1SX0pPD6t5IupwBZ3Y4f7PVYb1kO+d7c8Z4NBAx VlhGC/Lfo7Ne5MsQRDuYOzfeUxAIWh3AfQth0jSwJMS2cSUpwpvA2nnUIj79aIZIMLXtmFmPQLUM na4rsjwlZdPJ7Xi16HkeW40oOYAUn5d/cG8vuPRbBJOOWpfSBALxusUpHthmhs3TDGIvjfqKMH78 X7NrNFcFpqspJd++611UyCwnqqcAUsCiVHY5PmVv0d/R4Cn43jZTneH1sTX+PbeFWdIeiYIkaF8G gq234IZcQb+VXwoAubZ0qGpIgbVydfyMJ/no8EaNxcuAAznrwraodwCd8DC7CnjPPgrJa2YhTwq8 0GwPkOIUcSxXpVcTQFl20O9aWg2XJg8XEFnysBifP1nY171DJ+uq8AtxZ3s6NYP4I/IZ7gaj8ua6 tO92pYtIWpI6ihqR367OloMYDmU4Lm7gDt6q6LXvXK/f4A5oKdUzt7LeyzBQFhsErxT14Kh/Pv1P wTCrJhorZO14g4g1uOWZb6Of37PT42wcWU7Ijcqmhi/za0uwrmctMotzpMdb+il60DODaIeRgxll JcY0s5BGl3I/7Kpvgsh1wuRREWeX0zhUhlMe1H/dz4o/RSse3Z+LKk/LsxtEukPWGSn0Wg8gb3iy 7S/9YZIM5OJZaZ/sDQfcJC1CEbEuSC0c5ivhppjComeg+FuGMUQhyg7WAsabj2qEmrcUGJq5dXNh sNFoxZWDCV7ExwMjQ7hCtGexhIsQEp29LohuVcFbZ1Hdt6y5Ctbj0iJJbazvWzQ7FHKXsJsIPopl KR1HXAFU6IJJBVm3nLmMevsym79xy7vJa4AtRq5hwhhUZGw7CSJRf6lqLM7GhQiWVTbkdy672kpO TK4eyb/NWWVt+0HjiBwlQE8enLAtCrUOkqxYOON0CfYuJTiTNrhjjNU/JWF4YHZo4ugUyKLDQqpj +eBFoWUCTmvgQBLi/JaCb8CNjS2VCFHFTHByXT71QWa/pnJe1L4Da5DRkX9WmFvnXeyYZT73JUDO i7Io4134/QUnyRLRdZx8hLt2gchLLV8AVI6d/nt/uvjl7b9g1ZD2uoBuOktululv2edRu1w4UNuk 9QL+W3HtRL1fQtM/KATsVTrLOBHYVV28exBT6a0alOEf3Mkt0YR9SosIzKw06MOgeRmNf+HUmXFg dv1ZAt+Rot6eene5/Mz8Ia7d7hchAh/4qnzNf+RAXptWzmzigScgH0+cW/2s+rEFklAc4oBY7PVH P2F579Fu+uDGqP0TrguwyN1enexu+K1H8ODpeNU+NW9bG5sn2xDx3qaF0DJl8dTi/YlUeEm5c3lG Cpy8dimbpa2RA1wQZ8hNcVRBEA/voS97IxM+s+sBqQK7IHTNogRKSsLE9jfWER1YMMWZ5bw0yUte Rpr198r81bBH+GkG4y5IDYAasWXlDv+E5qNqLQiAasBHGSUgX4E7J3ZNp+dmCFuPooxSFuMS8C6U 19XkPh0VXQCskbLiHR3WEpXpqfTl9d1G62QbQPe5e7DatBuQt0pkFcjalUtJtacAA7GljVmjMHFx HVbQYmfUCxHuE3dLmQabnk/fSGQQuJD5me9/wns30XPJubGZeFRlgLwtyMJOCM9CyokHowLPhSst Ogp9f9YukIZ15zdbtpOHK1b/NvBSJPxdovnsNI2J2tMu8hiT9QhHExkdnnZMe2MDJ3PkDv+MqbtI f9MHVGQu1WI+HzSK1f7uxc/sMisXum/rvQWehoWPi864qxCeiQ7TxUmbVhelAzNX7YcZDAyDqnL8 cjxKBZkHyWSssOPB1l5Anvxfbpbdubv3yLbmLlOeCRk2KfkmoJao1ChIC8QM44eZ3C+qGkr5cZ5i o8jxMoD8QNh0TGdRe/rail2vb1oIH5cyrjCi3AQaNR6sBLoHxGMwv8JDgW16Wf0XnkEzfJpmGwep +JW81g9Lq1rsbMS6r3bqD3gpaDdT2pCwvgVFKWZ4VYX9A3WbojJmLrfvvD6V3Q1MHH9t9p9Y4UqB qS8mmXt+uv60cwvHw+Hu7vQRkPVqET5RKq82xTVaF0AHjj1W74P3MfNd0w4njhSq9X5vtQ7YmN+n YznLS8MxBDQqNQtnmQxjc3YDTImLAiRUXyrETamS1V4iESpN+Aw0CcrvHKMQwwBs7CDNhOX5CFsR 9mYMY/B2yOZN7M8hnLfWzn5eEDmtVnclgBdKxnaboPfnkCN7qFpDj+cjEs9npmNseRW3y2812h/h WZ2FJvb22bBEPqxLTQyqtxLhlfHylNlJ229Zc95KRchgR2MS/px3PExhgYyP/FLdFuX1oBwdRAZf rwrR2cUGr1vElTI08k6KhNhkwqXkKwobexHc0rgGK7pJFoHqVQTHumeunh1CRD4v9X/tc8MzNOcN 3UvgNzQGhyvbW8dR0EhQPJBhmYeDy+nCeMyHX0h26KAjcFiIOvaPxEAjngP1PVZxwT4M55xOFXmC jbNOsE/+vnswOl1g3/czJVB0GCFUbRe4IWPKT1S3anl9mwFwS7VjIJTk+e0kY0hdCgxWJEgTdGcn XG8EnhNR26DQ6uESbdqPyx9CjygS0O5xy3PjMwGE8UI/2GBsCGA9y1u3GFNzSqqqG41Qolppk8BL lk6JMSdXj1b/SqMbJuDC7UXZOvU7QBw++NL/yus1c8LzgOMX7Ma+gYCE8slG53mURjaYujGHNnZc TiguUKZbWIrFitqS4KC+hhpqlal/ivlwo+w5oipEf3UJvgmZnHa9JictaUErhF1wRD4zTd3Cssj+ L9V1Kpg0WOI3Dpine5YsKufW5L+XPZPMOtjY/F/y8ubse6NuzMd3HivJk6d2sw5Zs3oa+t/e++qu HyxBHKWyZgdSsFWmHZQ0JwuMo551peIazvyu/iCdKxoe32J8TWHipo8zCNQ+s3mUA8X/4E0w4LIX vtrvfrqUdgqCVgkwe2uLd1WuokjaHNEyWR4Iy0q3ygmK8Ei6HJvEGW0DlDzTAo3NNXjR1hTTPeh5 rV5ykWeckjBi+1wi+kpznBbRC1MstwMYh+kBj/grZujCj13fW9eD7Y0YCPi+uTphAPMVJYLZk6QT QIEb0qKi5X/O2eYpvMHzK9LSAWYh0bmUu80PETVVh2JSENPbB8DBJ67nOq2+T2RlFchDnq1Bm/Bf PrcKjzYbaXf29hDBve2MsCoyeRc0ijE4Ya1tWL96MQmuY3e9z9+cWVHePmZPIBaja8p1UI0IqsCQ 5l5pJUHbd/b5/nWnS7CjexpO99IQbyIkQvWtydTRuTggw00mXwRlQlVCvs3V9l2z0EzvFKN2To7a lon1lFoZX8pLMSrSBxByE3fVvPszJB8K4XAUgIwuGCihYfdbofDMQvu1zMcSiayHq2MNv8HOEgdK BT7zqVFXZ8EkiakrCLTbiGB8NhAYVEt5R44gb4Xzv59BuBTOBEJPoZgmkYoIzTsF1qiuJcq+XRK7 h2+kAeo+RjDoXD1mGp2hwm4dZp/mjgtqTrc1uwVHxUonEpjuplyYd2E6iR30Y6sTAL8nMzbGceUF 6fW3DqJ1jntT6/2qm4eO4mEs5KjTwe8ObkekAz1d80RObTwoMS+XIAgoLQTZBjApE9IbVJg+Zvv/ 813TSfjIgoCmA2H210kmlBd8q4hE8VunF1B+NYCVp8Ay8yqfyJVzYlOEsKVYkAJ3fEBMtzvv6/5m MPob2HTZLfaJqn3jrWvYZycwrAoyL+bG5Y3f05rxf3nrPkxC0yC6/62zDibdyIKB/GOnRDLDD+ag mZyi2iIpN9bk/l2hpGJds2oRshC3b7ftcc2S85/OTgev7/ZcH6xbwJZ6TA1wRi/p8l1W70dIXrEo Xub28jTJJJr+zuBFp4Plz/2JUI9XV6SrzHhe9RihxHPfW5/cMZGgnAGLd1NN8gKtBjJEN4amWpFd 16QxdVe9v0sf8XENiTI0S1kGUh6X7bcbDUyQ2/HBloeyVLdiGky3C+u3RIVrMiY/Yw8vKSt56oBo eIJxkIh/BXdS99ikf6RRS5Vdb7Zn+2tQto2WwtPdpcb9jn87ZCTzpXbyJV6mvsWNC+fzrB1cf7W5 VhCO2NuKG+dEaFebEx/Vbp9Ncb/CGYRtKlYVOW1+1mHqemus1Xya0k6KxuA8PFmMdUUkjYqAZoFf PP/p8pNkuiVE4KiXh0s086KYLdhiKC1I375pdbuXWZ3t+uOpUfWudocEi2UqC/qnfvwYXzjpvy5q fqoMN1PKVZn7wAK4QAsyLwOqmOJLxsxqjUzkvmxrCYsrUNJtEBSlm3KCLnCPb/K8deiYiRciO3QE Mz3ek61+AE2f/jWqQlG4LK/2y93jpAW1S0qkV8divSTFN92SYs+RoetXHDoGgCtlMDq5PmhqELKJ 0wgVhg5OuOwBCwwhOvkDHojLJQV1ijX8Fv+tMacK/1JkN5TZKklhUl4AurbDryfwPf+7eOrO/Gys HIE6uKBn4T5DbzIZxT6aBNzxYFJLd6wPEhRTnRvqsMph1NMsgZ3HgmAbv2hS6cd5x+So/LuYzWFy aZ1EI/qa7whkaDLNGeBUs3fC5z+7ee3CZ0JwYT3BQHCbnL2WCs0RQLlDWwkG09Fm5UHw+9A8ZUmP J1P+JJ4Xa3RtM4IhfBbOpxtw1Re+NP0NpDh055MBtqrf8Gdj+Z0xbv1YZwdwSR+puv0mhwljyC9u 48cM0YezO7SiQzXHRJADDY+stjiGj9dlgxCzSMlqzKroDwa/EcBkOQizHD1Kyb+P7i+MWFeua0yF 5uDcWMf/sUz9tKi1d9gei9S0afSck1dSMRV/1YimwjTMpeC9MH2U/2JfWNHmcyZ6t3yTKWYG5BCT FHWgl0sKeNDSl5Sdr6cbJbOkrKjc1ILYJeP4UgD4QsH9P+1oTdXgJnAO2oxeYSyMDEwnD3IMT7SV 1FUYFdsowbSvNXa0WxTa47JHjZ/n4YWN6XrEaI2GXAVfcQgGxXdPNF6qqwOu7en0AmQA95VIqh4g ojnlLkyyYsGl2ToKIMhg7MLIZsTUcPb5i9x3bGzGaYaZYsljOC8qDJ0zZu+HD0CBKBacs2FGkxOG /wJUwsDDn4WUs/j1xE943HaPoninFlSFzaSykyrEcBiQMTvFSTsRKlkpn+nUpOFAeGw9ehXOlti2 69SASC7YMfcTiSWLYQD13X2B1vEbGpxfKQ6GwUMH/BYlRk0sSVuLiAgUITuF4IwM/AfXEMG3aOrY lJMo6tfUHOU5BmGjTn/l/6Vu1WBwFvfJdK16iTA8VXYHKF/uQszEW1Tq3RgJP95OYdH5C3tJSI8i Npy0yOTf1swRWT2aXzdMV1/8KLnEaGBZ0rlcCVJxILkyznpc1hjvW7NPa0fCZu1hLz8vaO8+drme LtfszxBW5xVJnp49OjrCxMSwJHAIDPMPgZUoxZ21sC2AullkQGi+SmV7KDT0JKH5BX3eLqpfb2MF J76VAcfE62enIrxqBqcHAqHKFbwR6MEYAySB97+1QGjzLi52iRWKH4XI4G6rFIfmcuq5weP539O3 oZBBj888JHY2Q96/oYG0nAMG3MRONEnhSfGNMZPqo/fTw2TeEEORNuMr3PFRXEKYZLDCsHRQcd91 PngN96w+xOKaopuIYu7mjCX8i/vYPvuSnA9WpI3S0CsjTbAiAFeAFTxOj/i4CJGfOj1WdPuyC8/b cEmnRRWO9raNPdETtzL5aPUWiLksYCM/wdLaLjP2otMkAR/spv5Hts1R/oXj1bnixUpZ6+mI9XHh ZwRk3D3nFM1H0lPJ0OrIEUwsfpfFI3IAA97ncNAifFHIaddGA3ks7CsUBKPhDlNmkM1atJ4kjnzo VoASsIlqyYWRrzvfHasXJ+mKn6mQnruLNBjTPrs5PzXS0+HZMjt/mxj3Zy1Pcbz5aDFhgMKbAIB7 ZkjVJ9ja9r2x7eouSe34jZu5svA038RANuuhhi7GRJLZrWYFvdf/38449zV+/G9hz7z1j7pZy5nZ qdD/LzolIpmIy9m96+6NrQIUY7L6gmxUXMKUMNa9K9mYYBo89aewKSF1D+nYOk09k9eOGK6WUBCn OXdh1/vSHP0tes+OavOCibTZeKmuqdqvP0VAfh74G+V3Kh/3rUAMAmt5bcMzoBlqEjkqQiuqbG4i CVOi9wyqKaNqzp6nlq3iM52u1hI62H6+U46DOTxtvmem1xtFesoMd+dpcUpnzCt1hUeinoQlGc3B 2AcMHVlojrEcVoYnav2ppF+5GrtcUVDk4xVVfAIFyXXa2tTtfSZlGXhkLAXeSAFR/RabO02tnPpy 4FKsmAs6gcqDwoOdFMa+/72wCQIF2mmiPlrjB7nFje4EXhVHiZfQvAfJPFeGJEFjdyVrSczgZ8Gm 79V8cS4PD6MbKNvQEAXc2fma0WOJIdeFr/MDEEU6aMDBwZvIFk0tea0hdKtu3lqqr1pTBLkl0M7/ WCsIp6oEwwI/PCnVG+CSC7tv1qeAC54ee7LvKRT/OQIZBp9rt+ston44jWp4lVKo9vgs1IZrCuCc HGnpHGP3GGBQ9oPGY3dWpPFuReKTnYF58YtKRnRN0GJySZC+qnHlydqJarbFzQwyWOjIo8ZQU5XT hTee214dZMMSpFDyEInfDIEstFhGw6GJMa4jI7A910qgL7cIVyhfN6whsA/qe7QrdwlZPx4znguG B9khloqMN65D4qd8PCLxAckNP942FGIgogA3EaBvDENf9ejLz68UqUyhRThPF6rBm9g+3apILIxz 4u6FRsMxqj94wpF5ICaXUggw74IYXQx4FKb13MH27g8WsoAgUF7/X3zEs2LPyP66hw6vks0Z/gYb d0RzOijzl6JSbEZgeSDPcaHzO/xRwGt0OS+aplGhjIZ9FhrgjQpbTpGTs8hYxgv/G+oGEz6+QPhU fcTHY9BhpEAYbmBjkg080ehA3mVLRg+Va3wQmrQinJELCJebAWPCNVN5cg6Z32rheCf9SxBQMIv1 THcV5PxKXKnYTDjbFmNxtYTLntGTpnudoveyHMJqmhtIrdoQcixFAiPVBNNkFDhV0728X7jJvMWq I4gUIg3HLx4y3r3xOqqoQFiOp59pJMoN9XIw22b0GRGWMScQi5fHn+glVLx7//k5a159qXuqdYAp HqQWfMpA5dkKTZHs0ww/UkWbMUcOzmlnJ1uyHqj1ujQF1fzwbjK3E0rpNTt6xmg88xu+6AjA/uQ6 pAyecT8IpeyCcjGAwqjEt62YNhesvAOhSqF0blmf63BGTC+VYsVZsTNwfoULgvsnPlEBxcF2rUty zqhmnDN/YFvqDu7dftrYa6y6k61JPEL2hzz3IKgsWsw7vrwHqLWKbDI3HqUSXl2GvhNLtuA8EIot 1K5MRqrcGn5uAn1tWiycrw+HjYa8rqORYmagJTpl87R4cVIlKWj0tMb4Fr21SSdEX4u9qCbpazZa 6bUVbz6kIWk5zBvwyR8pwz4YgkoH8LzxVmnQTW8zE+PqK+CtdczWsGkXkk809SxyqF8MRm1bofYw oIzbFjg2jaZYRplDzuI7dW7zQJcVPnOM1KgFH9FcBE4dHd5OjtgFDOP5GJOc5yXglf4Y4v8wuoL8 hXW2CQYgdEyA875RbW8GiEQE5e3DdkKz1UXvHfuGEUz6GFLkfiUIalw5wDTcO1ixEemT89AxNsEo 7QE43TL2cY3OeSwSxsq7xERFXVhTxke04u4wERlqsD6QUKyM87fcicikVfbBpSyCGCPo0zKwquP6 pPYgX859wbzYGn+GviYFPtrfvSQendrelyWADlhbe94tOQ2wH6MP8wa4v76G7FqmD1YQBlpSFsvq w0pD3pbYhfxTCI18vBqb0eE3Y/z8OqjJFgPBpS9dmFrkRwICyliWIAT1TnMBIRq0s7HG/kKB0SM9 Lmwjq0Cs12K65BZCJ2GSgyqmJKCORYKdc60HdL69wn465GUlhSFzw4mLYMn7IFqDr16iuumgZGD+ HKQsMkICpKeT+R7a50kmUpekKms+i8ZeS6fJj5erqGOByMsdPvsUK4VGMGPG1B+6DbcwG4Sg+46R 7EJXqJW2emlxP9mGL8K6RKUTMNRiGALOhL+RIsNNi4LdlDKeGhF92QOyR5bvZXpLO561CtCdiE5/ MpLCnPcXvUB1z5Zcaqs/c9ZR/B+Zus7MOEgwyyYsSTQVEpZ0sOWxfFVZzp7/idkZEBFD0E9uetEo Dqh+uvfw19G4d1lw3Iusix3fklheAGUqSA2wLKwB0SjXLnSA5OQg5AN6mJaWisu2TCFua84JdNkf MvvQz9knV8rh1q3ZTlxho6O/yctjrVSeW3EzXGilVgQJGtCSMnLT0p/zRMhQVHfirsyvHLoDB51h W4AuCmRG3pS7RuX29Nf/l8MBxdM0Tx7QtBLx+f0BQ48+xS35gjhsXJicTl8Oax3p2TXjW+OOWOsO LAXHjq+XTzwqpPta5bUSvDLsRUpN63h0u0Gm8HIHrob8pVq5jF4b9ZRmm6wVQOnQ3oxY6Xg3lZET V6axobNrb4rS+smFYhhkG+cjQVU3gFf1bqI0PVxkloC6VS2hV79F+moHxQWGZ5aIfO4a8I6S9Ygj nAF4P2bRpklPe05WSy7A01ncFEgNfhwWGzlclqJasvJCmX3v+cSY2ISn6xiNOaj1mGfFqDjCubp0 Qu/zi3VBJm9uQvXqg0IuyZzUFBeDPtZ+2CCoJaltmM2feB9tAf0jI4Q4wvg0qcoOC/jh+bHHJ25J A1aUb+c8c9co9ehLa6MR3UNADHNzMW1qssAg3SsNJKRZi5KSW4FFtxhATeTCjh1HyVveC1+OQAu9 MIuLdJrZ7OYU2IOGSMMIYS7aL6RgeCJq1u7mbnLdj7vHq+vdpSoos5VMmToDpJLJSr8B77zjfiI2 Ets8Aytzw9hV753E1MkQk9pbZ6o5Hcp9CMZZ2Twb5oC4EeOvUiotkusHfPdHyJ0izaNY1N56pJgi FTcfAFWmBAKeLtBuc+2owA6wgufkdgixPtr6hEwhTdNk0I4jFwdbHds4rLCOuimv2alT4ARpk709 yWANaKzoFj7pJbPPWfwUPIDHJ9JDq1YYHoEJBAejmy/mXH1G+zcDCLD6rNJVCsza0mK4tJTe6VzY Q1CUTsvRpyqZcy2oJyhwg7xrVGi02ppnI6UdD1HZyTsNnMKvtBaQ/p8xdssVZKGRw6Xk9Ynk2sIo dYS1fnRjfXimXXgnbBRizfn2l7Oon2WQYvnde2v3b1POddE4cFth6COEYMnGNecbFBpsqWL0xWEx K4xLJ0qtuzbUu6a6khoQx82sH2xXwXluNUL3ZBJgOi+4sDVoWD3BbAD3B2i4S9bi1Ts5PiQZK8R4 X9PECUWVnK+bnCrfu1pr3mttv5ADW9uw+L9IDt9zEFzYMvqAJaadzTDNOAfZ9J6Ep+lv44NqSogj CaNhuvFrAGCcJx5DKDaYy7PHnr+8pbfGd4J3tbhkhR31F08bhS5Eb0NdRv/3EnHgFMmX+duZmoyW 7nzE43Tcicm1P0KjBMYMs0nCiP4xdAVEtnLmyCzvttlLHaoBo0zq+dO9pftDL/uGba32jVAO2bgc AjiMPVjTmST5MQjMKtuH5pW8ElRDQ5v3YOj+fOUxozNB7WWB553Ijl4BMVIkopQ7CnlxHkgCpcEF gbIOivYO6ZPJ0mTjyOlG10uFY8F4oQyrqwkvzp5B/apNocPxzFE0km41UK8VoLsGJqIUvMseFNzA 0dS6HuvEKbNL0HhhsJmVYv3aLb2FpLSAkhqNJjmIlGLK5Mrp1KeFILofwrKPQ3CbiZVcF7ckgEVR kUmcY/WVvoZGgK2IU3vZn+6NcdyiPGGrL/9arltdg0bej3UEdCoAlKjEkORyZrD4aXKzEFnm6bEh lcB3HWMatQVgD/aKlR6ngZBbFwX0VIes9h2RruWuHqVgs6Edhcmt3ZraJuAaDNsj3ZJABg4jdGSk HHC613rXSCL/1tVxqZvUPLzLQ8erMYoSJESIKpIuUE4J5+2Rs0EQNz/YwXxCz7oDhLdcgzw2jA2v thPqHEp6xpcILPmV1nMjnAW7DgZlZ9Dm+2qyl4BqFSD9m9Yoa42SU3eUnmJnrNpQ0BbzU8y9iUs7 EWiupMTvLblumdt2FepzEXQyZhW1L5vibi87v4oYc/qU41nj5F5svZomiKDVbx8b2TdDeg+MFUMT VbVTX+Zeeoq4GIhQ9a3Iic/uiLmFbjBGMgaNwGxif1Qze//ZaCbcl0cT9z6l0bzPDtKTzSjSrekV FlYgSJq6hbky/UgFy0XZPCCxHzmuYcdca7zCm8rYfu9jtmAEhxZiv8H3WgdjykG15r/hGw5e7sgZ ki8nA7lVtErr2g5AxW3Mittq+Difzadk1TZ+bXFLLeYv1LVosOnmmNVXh3L4e2qiwsZJABkFyjWM WqA2KkzEDshsCjpD1oAh3E5G541d9x4lhjbcKxJdq8BYOk253uxIz6tMahCaQADiCzqJqaSQhpEm RiNFYM09RfASudXKFEFio6CrKFjbrNg3OLQkuR30VsjbOU3czu6gIhqUaJyy6SlWlXh11kMOO+9F nSufC4dKIhmOisz0wGP95uziR92Bj0pPUjQDFJqd1A+gk9DsubrDkCVjCWjzqd7mJ/5kVIkY/Jh0 DRyMkTPpVQl/ALslh+zr067d5u+zsYDf53MM7mJllcWNIiWtF7DtXLDpqcsIbA+lIb2csxshv6Fp pii9IBhvMsVCUSwcRrqH9NLZPBFd0N9fopE0Sib9XYHt4dfPXGfqidz4rpwVP/t8nOSE8iZYjYfU JVl0vgLa18WfYMkH69HBD9CcVDBZNbKz1klgkq+1IsLZmhO/yTrcVYCBfrjvP2WeKqBv6556I+4q mV2xHrana4B0jc9mpGoqInWzlUijU7p+eVRyzgP5UtO/SIGROWfeAv75l1qUnm/1QtvbpFze9dQX Katt7fcl9mT1kVl6ns2m2vRVY9cmWXX3iYaZX0JFPN6DxFHV4ou1u+0cRfQpIUp97zzZlDNJeWi0 8BONq2z1IVYyudW15r+9K54hRW8BfE/vXepwDtykFz0A6C4ctjS2zDElib2hie1Za/OuReOJpo2S tcZ6k6oIWMgqpyQ3ffRtXxb/ryyB0C8WyFRrBth9xHjnZkBtQ2STzi6+FwsMNzg6jLI8dmoh5+aP 39VgP5fGOOQgf5H2O7+BZm7QCKl6kLmPO8WO3tn2HlNne8s+N7aFCp8eZC4so7Ap1gzwqeMunptr 6A9sYz6uzNvm0s3zgFSaPTZVnJ/WpzgMyKv7JivXQjC3PT2TxY9tt+JJ7B8EbmQ/C6vf6FeMfUEa mJ9ntCou3j4YKv6bDnjuJoYM6Gg2rm7eXKmJQtP0cX4VZ2KSv4xavG9kaGiemEzkY0lPyFwbZJpv xnrosWKzpqF6yJrznlbr4tbw2SkTtpW3sCrWh3LM0ZhnxEp3zMOH3ZIVZu3N085vChWhyUR+Zco2 BDloz8tc134WA/9k7qveXxPUojA4NCYDw8RPh2j5L30MJz4+4Agbs0MhvfmbKr6tBnTglpoaSEf+ qQgSwbl1UmaA7sfsUxnHj0XCXM4LNOHjh+KOf9NJYA/rM1GOr2pb4WwEc1yIbcYSK679IkY0r4gs VF6ZuGE7aCm5wky6n82GfoBsyViWlDJ8onG/PVj6+qcLsu69goEIDOJ85Ri0tJtJmj0zV87awQvr Eut4/7mSiB5kflEW4F/lfigcMjniaWoTe5S2sip/X/Va7IYdo4Ux0tgDkGwsHCFF7Ppyhossxb+3 XmTdeovQDanvr7rxLR8Q414wydDq0+L+oVLDfYD95p2AISZrhl9McJcg+QLY++en+qPTXYshbo5K cTeAxN773QBjjv4ZZIUOihwYW0omVCnVjTc6d6Px2z8YkOhhWRJC0tpCEmghqsn1sSeya2A2GoI1 WgqIo9niuGAZBNjVEmACRPR4qUTkSJ38vMElKzKsIuwJyjb8ZTz/VHw7o+ATuTMZI1yaCV7cjDhS Pb4XgpwuJwbRCWQQox3lGe1AAoMz7/5oCDAXNoICpOE+MPc0HJ1UmFyTdkKx7p8yFyqJ+MdWuvMg oWzr/oA1yDs8MZ1vtGOrTuNg5+vF6MSjQnTDlg5jiVnJAqUC5A+i71a9ceoeF3byUdR+yWctKJh6 SoMSxP2tiUn7wYVc5jFRr9bVTkKHTJOazYykivFQWShrgO5iZgnf4PCurImF9JuM2vM/CTO4viHU 9qejMmmG+3OX6QIidTcGgdQBTTU91TpgBaxF423kjjYi3YN2ZbNs1rr5mHkpG8/EZ6IzWTlPsFhS i7WrqRdg1qcNQg25a2K+QSlXf1FAOoIdX/wLHovtKqtFE0XwlEHjrV4NgXuqCmDhKMXuO2i7yy4T WML7rbY4ifD4M+EqrYygxEldaUF2NFoXD3f1NK+n/E5p5xsdLI4mg0xLAn8tRvLjl3KPzDfOj3c1 cxnDRK+yI6Ek3EhhQj4ggprRHuEdipLcdFhC7tbgiwzG4X/wJZRUSB0Z2ubikDDUZdWEdXXLiart f6qDvEuDDj5eq64QyK28YbrfbwTfjSTcJjTK4KhCYRyhEqkyw7GHMK4L3veAAdrCCDNk3huFZjoS ZohpqXzRW7UKuPPdz22OhE6OhqC9+hpMQUYKV0IK9aZz0ypqsP0iDkzrvyc8wCfR59bqOAOO0Nm5 7I4xwH8xH5STxVKiynDH/hJuTaZyZPv2ZyeuJoFV3BZCvcZVmXtRpgdN7hIfOGH37m22G/mSvYKg mnzxBmest7Y+HRzHhJLo37d/Eswiyp08E8dfEfjPJzG+mmNG25s9O+e7A5dduwzFnupMIt+GftBW nlV0nvyS8Dw8SwKzAelIZlNxyoP9434QWk4KEjxdF2ZE1MUJ/49MQb2NY8htifcvZIKkW+heJZp0 EklIquYBSPbB39pZQjUZHw4vW3dsLoq2MY+/x1qXwVuVi8Su6F1ObmD8dJxytrgHXMCwygpqnirx hktbGSAc/aOM8JN1yw8X0Dp++hvy1698Jc+SBvfF1P4xDYplMOzWUzCLM4YchI16t1ab0myz4xXD Uq0OZrVuXMktG2l8fv8dfeJwe75tL03Uzea9zGNpd6IRNrAvOkPm64pV6GYcuU5JvC5vUAGLO0j8 EtkpM163RhvGkhFm2lnzaGO7vgILj+NDzs4Smyyz9HZwj88fp/jNLGbuJyrlrWWXh8uFuDyQpPL6 kbnzWjELR3qmj8mS2ZndgbKOjt5JxUUwKnmvpsFqRKq/7Lo1LSfoXfiD1SsdRk2uJoN2UJrMSM1Q loK2DEV02c1PSIbsAqTG4UlKw+gVSpm/qSPG1wzCA24AuVrt8uuriobByJWItoIC6ub5GuPN6xZR fe8KtuKHb5FFE5aEPsANqg5zyB23VukAfjxBqiJ3h9AaBeHUXutLp6h64VDavucCuZ1Vj7CmtW2p HS1N96JCYIsys7IzDBFFG2ph2SCvuhiv8/6NS0qDsBKXBW+zzzWiLfFYdknzGeFrnbWcVMlNZ+qO a/ojAJ+sIxet0SF10CkKTD+hPBxX0qql8EadTkQ2mwZutk7JKOY5e1f2QiBoKEHxBiaq7Gdj0SpQ bg1iFcCRcmt4t7nU+PTA5m9L2+hhcah+W/Yn4vkMlbhB7QTLC+RiWTg8+xxNO3pw/YMqNvVBfROZ hAMHKlm8qPxvoE5FMTpnxbdTuGeZmxC++HJT8C5gARlqLADBZC/i04VIrBC1YCzisZm9cxJtZggZ kqA4QIJpzrrdv8YrwsxzEBnue+Y76uCfwSpwCWkL7o8yfBIUbutVBgldkRZgfSXdcNjcA1/etXjL 9J0fv5oVE7abLgDIxxhFNMldepaBxWSGSAOBXtD6j4LDdZxUBCPldAlknaWioN7kJjNcPU3Ej+iP kQU58UU23yyB3+tmgpCYOvGcx3977wrylbY/IDCllLwUl3b4gfF3hQ6fgdvA3G4uujuW083FY5ad wl4pbj89KR39wK4/SyFrD+yn3yEqWKRfhqaMkU1TvA5JmTATpC3cilrqhCo8KuLeMAkQL5P59mTK NyjoK2f8USZethfWQ4gOpAcpG4I4ZbTd7n+OouFN4v4UwitNMxLtZ6lwZtDWt168DhwDpkBUTvHf VcVdqKu4OcTVg1ENykdH/QZbZ12lNuL7Wu30c+WzXwka1Pz1r2VF+OuIwGmBx5KldXG6xdCDhQCJ 5fNSjhYSssguBsG6TPcOiEttCGmKsAP8Vbtct+a1rq2GnLGrLWay5UJP6c1jeXds6TWxOU5S8lBI fCuYuBV5TwSQfXflLnTO0876sVpgRo1x4zeLwMzQ1iNgiKXFxpHJ1ICOHJwIft95f9b8YEGaKMsZ aYzsJkJgLArjEJaJImZk8GNb7KsLxoEfPz3Wt80T16n4A+n/5nlyjMmRbXDRd+S8dZl3dyRl+qH3 9BooDLBYX36UjlfIjLfrUoCTVV2WN5vDpPAVcsSMUdUk+oMwiY4Fki8f050IxLINO+mLUx5kW4uH 1rn/4e5dHrAn9mNLsedM/atRaODzPuRL0hAILam2/lpYRNXXyMnsrMnzCT3K+CAvHDR9q0RYaNhd 73Bat1N6gzbh8D+IqFZ4p0QoASMFy5qodKjytjppdQ6dFwmo4gqbesUERwbH44t8NsPR2wtXasz4 XcOE3gQCVmBGOUCZdv6hdBULXCVjvrqvLnwF15pM91CmNrde1lZFsPfaeErJgqLeCYvBF7mQCtvB Z3XfzmzRNfiwORtADfCJmJLn3Fwe+2mTjvyleNGCnvS3YQZxm6cE4xgnkKFQnpW/V3jK+l//ZG3v fHQfDTtTlUx9u0fRMnCGaemwlvbGBGFJNA6axADTTcDsL+tS1PxFkC7Pyi6niCIccYlEZLyBy+lk TZ3cAVHD9FeSVOSsyTZxZ0ZVB+D2Gr/mzt2rjkkwME1mUaM78uKpVGpeacoWb8q/+x2wbpQawVr4 3JugoesSgmHNmDulvwBoKlXt1DZ3ClFgLpv1phDhQG6rtFd+E71/e+wlVkgFI5YF1h5B2BiMPw61 tYCfo6zP1DQaet6I++bnMt+fLYcMYSCwmsaDb+o2rma/ukNV8CGS1NrEGIMLpPr/XcbKhUT5BD7X 9+APl5R8/+ZDAxkBMP1fMtOO4GxlJZ7pWiihUAPX5/G7hZxTLdLL100DnfpW/0IfS5u3sfdMJSuc k4u7vRsTCUjPZMa8zhQG+n+gfddE4b9m+cFggNJRY0rwROEV+NHao6IP9wFGlUXPbdExyZqOjU/j FnYQuoeeRHkXe9cuLeB7+mgh8biZA9Y1a9FHLyEZpcIOu8zitCdKe4jiVfYENktu13lzyuFfhuj6 2e14stTikwE+ZISWZMJsxSgZ17YVJu2UB+NJbuns/GklOWGDzBd2BbgTVy7S4fOrOZRdStIsidKP CMDPG6mIMiLdoSSKDzh3CwjAEJ3om2UJLWhufAbKfImkVSwxCbk7gm5I589lB8ov2wvqMkMXsaO9 689LZDg9Z2OAuMiqGonBAzU5FpNhKrLkYp0Mgn37imebN6mI96fgDuzpg4BDo4sybwLLR4iT7Ku2 Or6F6PVnVUwuAXp0UL62CS8RXgwUcu4vibj6jwOSPsKHIeLN+EYd22ZKclo+zPgSaL1MkMK5s5j6 X4p0INJb9WndzWndfcNcbx+MWrTrn5g16LO+LPXuh8IMBHPBDd8K+wA7SCckRNx8UYOM7R2JEf4H uCPwQXJyvCW5WbCTVveB0sM9ZV/gjP4XM9ew2XOmq1KNz2J5kO1ci91SV+S50YwHAuiXxvry91bH CGTPYpZWNiQZjE2ZVOIwJgQ1LDOmnmGiTX7TevmjMXfNat3KakdlzIMFVMldyZMUGnXQO28nx9b7 q/pn7s0N2CDfKJySoTZ1SLxxQzncDdNpk/AGqWxZAQOLqMX8VtSSYDRuRv4nA7XIVeTbUTdAV/wV PBHeKdI7mGSLieCXSZbzZm+58L4WVkT1iJl3Uu7qB/XvMnEd6PPM2fK9tRlkkEi5We9y4ZJtxV2+ uquhZsjfpj8b8031nfFXDlYOpVQ5I9FFKvHJXEiIA12k1UXPZLjEemM/nsK7NaQVxsPfc+gWnMpO UfD5TxdLQHgQLkBvEGz3N4dtYBcVzvQ03W79pE8nmHdT35wPr3OEwNsLLQtp7LCbWD53/PShZNw8 xlcYKq6boavHtagTKM8bpIaeRfXsOION+4/aHNpLrMW3qJks0DTL4FDwsOvK9M0Z2Oiw0sSSJrxl qZT7MQQkYFT787CAvJBI08znQpOkTmlkXYOBg5spTwzxaaq+juKBHau+8zbYM4VCAlZZi+mmR+FE d/ta2+tza0ZNpnJQoR4LEgsjl0HCa2Ph83YahgAvND02VMRXPUDu3yBPv6Zln5B9eFo+0YSmqNwP DKX1uzi0VNxkIA1APsGRRbdzFYt5vD0MAM7LC4APpqKDApsh5Jk0F54qc+WjoT9HrYPrXxN+W4dy /bQyds835XxoyS89Q/roNj0DonzJyhXgti4TtSirmasvzbI8NA/6BgTzdtuxFqV3n6NyZpM6w6Ko HSmj9lUimGpstQwiHKGmpGxBdNiJ3hJ7bbcyuD1ILnJSKYbvF3eYL1SyUuUUy/lrpUam0n8OxvMs L0kWUWzDjJtjGu1CVGkdiiC7+f8sMxnP0TUg/mA86gf+lMzAFbTi0HkgJZrupG7bWznelXR+Q0M1 Pbuqd3co2y6p5G2UxykyUKMhOlHg0tArOLOeEvAZOwFQ5lODNL9JNskFlleyluUpsQZlZGJLOadX R2Vz12K9JAw24UivXQxhyYFr/unZ5uT07QVaD5ZZB+WcTn1wev0O6afkVGMzSaSXPseBW+nj6TG3 ZSKXEQwa8gklrs7XpAGOWuKZZF2BW9wZzV06QlcsllCpk5FNZGFV0GDTId6Kr5mfcaRTHJ7pHpNf W2d6xqnCxtOj8iVQCECm/jO1wTJ8jVHk+V55m9ktt1d74llvhVlooCf57ht4VDnHp2S6lDsndlwp HmZrT8S1M3BItSlGN67h4+SYTZ729U6Er1+wUmbnimjxJ0eglJ3FE/JV9/2kD7mmS+DPur9J7eVP p9af9JeSTt8oT+egIoV13YzX3Hp76FSGfN8M4EFWXjjD6cPdOsAm0WcNCTDWvDZ3Du3ZWsxjIkEg /A43HvDn/ol+8xxUPkLo15V/T0x+9Bkf7+bFx6vLDcevO5Ouh0KkaJSZoULV7r9noRKHT08ha2dj VJYL5Yn0yzW4bbHtYZ0Mwiys+yrgP33Gwmus6sO8F9NLfo0oYHqNh1pVUq0vFiV5xcbAc07qv5Nm YXArkuigz8APF+gL79RGAOPWU0oUqynsKCugNcaBxHD644NmGvGRqQLLLEXHdiZgz7kWpuWQYnI2 ndwWMk7Zhasw2nodImrsq+AbtT3XjNz7QOVZEgDhFxjaJr9W2RSEg2W5Y3MFgVu6mz5hVtszEGq6 hkYgRH0bFav8MQWyNThCM8ugrCOc9plKtlT/sun3ieurOf7ZLh8vyV13i6lnUrnJpddXZSzQAsMJ Nr2ep7zM9AE/Qt00gUjGwACUM8RgD33CFSJgImoraDT8//Qe7y151QEx48+DtxhsX3KbZldxQwsM mF1UvhJWehtZEWLiV87MxApXYb3JD7ayWVkOSpdetEVjaccOFLDFv1+9EyD1+ZxxNbJSKQ+MUB3R Va0Kluq8A1xHQBdCf3//EhzyzMBz1I5uL9C6e6Oc4au7NuoXZ7gEnsWdGYXiz5X7VPVzqpkF7VVK y/WIp4w0Pz2rCXWJylJX5htiTB8CGMPmxBG3d0Bm0qzfQe71scja8X570PLN4ZN8Q9R0lX5UNvGM tTYyeOTJaxzIGI4bRJ8lgwxIiE3wI7h1st7PEzS1JXAoTFuP0e/10CJ/EYNhDF2p6O6rdq5ZFpez iU63NIFvb/tWQuvVlbAoTuZH29JHIHzIa+zOwxAc9j5qVlE3glJbJGYUxhKKOBEDVtYzqu3Y5D8J EbsNetc9EAs7L5xU/SgPmApUwiQ9Qb+ntxBfwYs72tXL0DLZm5fovaR7zw+HNZbUEhmmcvXM8oyy SpEJ5NeSVr4hF74+8yHM4JGNb7rVgRA3hF6sjv0xQPT6dHuqwr8aPFQDRg9nyDcNHO3249yu52qJ pL40sJKQW3nNq5l1Y6h9ausdC5t/VntoPCkvdcgbr8tMFINNLR9jHzfio5uG3JsO0GzSbVoOq9cU nIP5EwpKquUEzV7PQ7ysnT4ABW5Xh7JCkOYFw5jkVygyQYyISqmhQp526Dpvl2LXf+Nu5Vf7Uo3y caepCF9zztczgS2/5ayWbT/6y2hg3K8Brd6Q/129/OKF/Yic7LF+Azkw4HG0aI00rZC67AsICpPA K2s4XkO9BVSKn3txEF5fG8MN1woc8ueEgida2i7bNGAV56cakgDmNXeMyf0SMwsSO+2+rEjcQ0tc cZbONJU4s9WdZi8WgQ9wMdonCYNyp2m3bx5FOV2Oj7/DL2x87gIyKB7ZFeWRomcNXqb1poKjyQzF /KxM7xQ+2RE89PNIOYtXsw5E8yqMYDlT/EulorqIybO05Lqr+lNFCVRSD2d6OkCzqwEn47DAVyy/ qfccvIMwfbvaRz8IpPxI4W2ntoJKXeEWcT11eGnqfpmd3g3dkRkLD9fdXFlCF40U0WCoemL6U6Ww eC6h7KqKfzQ0k1h/RqsoVU7sUs9RHjyM2v/ZoCa0tdy403IJRWrtATgY5UXsgPYKuyVe2TsFN5M7 T5hcC7oI+wRjKWS95zb0GEDIlZ7mGv5iwz3x9jDTTnxZDR18pe8ntXCmltk44WCQUZboFmmOvGSa /LsboAnUgQm/pi8y7qiRIjkVTE7LI3IFVZ6lq6tDWwr9jeH2pNeW9ZFVHlCvZHrwLKtE9RVujUqz LyKrz7nKXQAnXWjGE7Dy3Kw4/nM+OhvnvyxA1WoY8vPjp23Yk8Y4qL8TsCejqUPUPWyQcHurJeU0 02R3Lz0Y3AQmRLOlrGpbl63pL6RIjfbWbRCqo2wla8sIm1KvHo8DTO+IrbMZrt3mvJ9xTYnjfUkG QfpaPr4acvu9/+t67s63ydleeX1MYxjsbQ1TDAg5u9h6vNmK9GfoFeSKfsWEZhbae43i6ooyX+Ef 8Vvct0eBbVeEjbd0Il8KVXBpDwFPw3bqrxV1wYFaZG8IsXX9td4HiRGt4DTBtOGakIf3jTih2G30 xu4RyHH0zwVemoXj11BwjqTxRGwPrxsbSReJjH8ih4NEFQPmnaUhvT6smC3hR5/s2bWLZMckkn14 4ecAbkCOsq6ieZ+KJl5GPZxnMO16LPdNy5F2Hqb0CcDnje51ok5wQD+2MdyTPfMmkmOIFlDIIEUh /lyaxWJyQYOYSDpY0/Grvc20ACG09RFt45BBljNAf/6C++Q7Qcpqk6DEyd3mh9muXHUCovtMb5Gz nP+a4z4AObvDzOEd82VFgQuar5mQYKOx3w1CL8BzggUSNSzZzwVqYod0kLaEM/Eo12JKAR6lQOz7 KrZzaJCDQsxXdKRiFrCIWSMIMUYBxgxKUGGqb7dqTaUADb0EyNBHRD5MAJe+OYDiwSTRrDSSw+eM Lh2IWv/vTAgHyp0mNs7Sm/k2oNFbPbM2ldvYlXJzAkrORU5XHs3Dk+f+OeFEnVPgP9x5qBsdVvxA KW5MSygHtG93nrqqYX9p24nA7TST89thQpHtcgKMY6Hxim8iY35gkJHG/94Cj6UW1X17ewRq9hJ/ SYfgbVqgaK6RoFdbakyA755z8gtFOV+bepSjgRBeLEPNobKKcs3A/LwGhKvcGrWup1Wq2rH/ek3/ FMqcq4dfxajZOWTJWiWhUFQPcD2wmag06Dq462E+wkaKYNGVzE1Wgrn+B5Qk8UIneQn3iI6D6vTD w+ZBomfKRs8BF0oXBjrEQtkiWxlTX5A2GkRYLV0NxzCrktcOYExvWrd8wlnW368B13QKjMqsFITA TqgUiIAZTwlxGLEAccf4SteysLrcFmdbuIlcZKBHniktLwyBAWLMMGcKFq4yvpe8Y/d7clzVa3dZ +NhG5qgTQYsU309Frxo/LSk7xGa8l5xU95mWp92E6RZt/pOlWtOy0wsIQIbO5pAvuEkp4jWIDSjI utBy19Ssql2conuXpbLXagBo+74Yh0u3yMnPc3wuJnTtKy7EsPK3lXd22KeG7LG14av2xT0+G9h4 QZjZZ2lCZslZAMBqj+dEn5HBxvZ/z087CVdbR8VPQ+wIg2SozTYeqIsDw0qlxZ54Eni4dKooTKmh 6U1Z/h5vtGSGuxS8qb8BlzKPRxg+RqGJw0JU+dJTiY6jyOf5RcXz6Te2JXoyMKUZCOjUeTq4VcUl R9WBJxl3sGbqNMGv/pORClgS1TVPHTZ1i+PyJYj/CVYI+A+xRHW2H1/wJHgBYDDHdKnAHcqPEAnk 85exwufwA1MoTZiuwwYuQrLflP1sU2Mj2MWVUFmivzYIBm5R43Be7WflrcWKONNiqLt7G7S5j6ww jiEzLxt+7K3H+oPjBd1HxmqAMbbMyHwszg/gFjBDsdSwfg1oiYXox3TEwO4+Bg15P+Z9MrJk8HDO ZK9rng3GPZReFDKWZm7bLzOvwV062SB/gVzF2tq5FCu+mtCA/rSRbyH4kTQm+KOzupqmoI148/AK UuLmHV6EwQYlOvUXV8EXMxF4oeMsPyrHdJZ9epNaqA4VrI8RQ78rkmeHrjBkRtvQBkRzugT8b2oa SczORFD5raw6iWrNyfwItcB8bCQBYh4qq3t5MRQKuGuen/yogJKVnAD3OiaJbknoWJAh+ypyh57d XOfO2ol3rrzQxz9jBNh2Xo6TDEuZBWuAuVp9CkY1QOZ3klk5c+33MQsgu4/PRGHWebk5NkQIxAwy bapIHCFrvkhYAnpA/ZQEy48IRnGs7x/NI0KfvE0535YTVHAce3ogdFzponF4POcATj++8tEQUR9I 2O/5tfd4Be5qEfgo2L/g1dlCz84VsJtKIvTwpJomwKCaAPzFCXz+MGBtohwO6y/abmnZzjiB7V8S NEMdVWmGAr6/MtkCfQL8UKxM0zloTX9gJ9TpVl7u+a1WFas/BXn8GNh4sCuOmQclfBVH8dow6t2R nV0KuyOS0QGWVGKzpBJvGBTHA3RzkzjpQjhpu540INI4mfHPDWmmO8l5M50ZldrwL/A1LeEs695Q DaogyY8hXx1ImuHh4jD5/1u0m67Q8DXYrDDhQVOWILdKS3y3+5jaoeIBvwnk5vf+FKNi2cXHaMLQ JFcMQcFx1/xXchvq5F1Tjs3gCJ7wRRYNgkuiUHpbUXyDdeVVY3H8Vj5+k2HN7CwaLGeC4XGipSVC Ad6fi4rPMZ3ppQj7xaV7uRT4kiwH+4/4OFY40p1MKHiQh/4/dxQfjRvRu8OxtBo6Yj0741+T5uTB dh7yu62BGnXMgEC9dxViPBiyQW5cU0OEOjBbyEI268b8QS3v6p2fGBloEkAOmY9T6wVrg9dB4dYe OYNH7izJRG2WjNK6jdrS3jEndz++gSrw9Tx0YNrfcxMmUf2p458uEVBZ2bkFBFcy71OB3PriRpXN iekvalq9Q2qbxQvAriYwrsN8nWl03/aBDVhSbrzMNUqHvWvUsyCCooXupxry0FyXfSvij04s3Vjd 9jUVxqhSAuX5CyXYQgPqofOHbBodnGMj/dgZznrf2WnNRtSlSmZ6wnO7uFJ0ZNlQ1Y6Y/s77pV1K 5LSzP3Qn87ZejGBvhFG4gQC4MAgccI63w5H6GDaYCQL80dEaYnkbfqt3Q56tjHFd/ZQm5w2DO6rA 8u6AE8tJnw6VV8sX/TqaLATIyPAJvtUjGmprj/QymYNbgWQpIne7CSydu0IAnY5i7B+vMKvztt/m 6YkpeCcJXYjUGi03yvjIN0Pqgl16XCAxs9AReHGXC+6qSHcpv3h1oznJma/5ex5LL45xpicSZ4f+ ZyF8cqp/tSgFo98GwqAEWle+NwO2hBocTzJWr1ucSnr6L1zL0EaaXt6lfxh47BgPJXvMVVicI9zU 6+8sjYs7mSkaZqHmf+RZ8PQOLu/PMf96j2ZChkmvRWR6OuUtTE/x81WznZP+y++c15hRjNgd/XV4 tSqgp5xBWYQ8uTJSMuNGLbSP81i13RAzkkdpKUmN9lw3are9moQOsaDYSEw2Y9iJE2dEGcC8UY/h t7uM2Wn5+OZRRYc1f27hA6eJrEHLBmGip3i5ZeGqfW5xY2f/4RhW617mvSASdhN/Rp819hzte83l tVHo/YAQla/CCTZJs80gHJ5SIQIY58jyPm6OZ3Rs1AqdEhQNDOKyZa9vg3P2oBIM3tHqS8WcpMRV uDyYFTwxV/QfyHR90sdZ8zTR+qaFvYAwifJOvvEQYTdv8LNjwU3rWhCpC0YuLiq6lL8gPfz5t7+/ D7F4UDKFZHu5jQEz3rt7d5iQTXRPWpZYZpJQW9khezXR4n9jxVkG3ax2as9g2qU8RcbRlyL+2df9 b47jXo6lZ5qdjrjcXolJiZHgCmP95c7rH8ICdAfH0xmbXlkMYMpZ7EgYd5z2VTef1scbMZN1lAuk V3vlfmUrCOpv7XlyddWcsnQW8Ql1DxG4PUQUyUESTS321BkYn5NzaofwTaSY2BkKmaGqS2HOBCOF eOZH6tT/rUPNvMM+3WCx7BfDkjYhk1QlRE9K+/Af6apkWZcflRl/hekW26JyOJv7QGdf2sYEZBvi TtzM7FKGQxVf47mspyK8yu2wJNlL5A6wBnxtHDuwgSZeVsmnpmo/bZT2NpUAVhgUAxaE5gheqGDu HoULL3Cn+MPWs3G7vFg8THCkMr6rEuNoQsZ7bRJ0GjWKczWHILx/Fbj0m+FFf2nZDVqSthQ7EjSf qM2bBZdZ/ls7DgZgOSAqUDyYwJ9W5v8ZSzxQ33PALwdzHSnt/3dXmryoAWJhdrlipjYTe5ElykO+ Rczw9jlY043fFiiFbrfG/2cABxAQsR2Nmgbk4ZaCokFw++LNVLs9dFvB3ls+j+JkjZRLZbY30uKz nbYuf8coyW66EHiqT+NT1NK2kj+5q5R0YgJSoc7Ns6SnXE+BlLiS/AmOqT0CmKvsKPiOdS6qQHQ3 UizOIGN9Q9dHJjWaerSoaRsny5Q2SfkhCksom2j8tuwDae55EXcCIwlablgmWZrVyGajstzcEbyk L12TMW3FiCqD+DIxC82OcB8kFAoS+P2B2xK0onr77UUftWPuTgfWemRM88evH1irL0c2mp5nUsVJ f9+hwkKCfd8CBwPD1fMfvCw3KWGYTmVVSgXAXADqQ55yRWbTBg5T7gM+hRAW5t+xMHJZOc/yPY/Q sXAQP6tqwIriVTsUemoXVlkc22QNrf5NP+KoHDWDdhUjpN/2hJdVQQk8+F6UReKbYAcA/uqlhQVL mSZDW/dpmywgv7FbBfpoqmv7PXmgTwQroNAT1a12iKk2KzEcWFsqXunTpTcft0DjuPPGMWjkFWUj CEZHkTzjC7s1YsCgkEtlLEbxPub8x52YLh+5+68XC6ToDWSzy7qfNw6F138ZW2xiK70LhkncNkzO Zb22STi/9Tv9EK4OtHHpQrb/8UXIN3pB+Rj7Ux9pYDFqGhgevC9d4AGqqt5v9LAKQH4K2PKJLq6m bvDq80OcSnTEQBFf27JTpLpIP/zbHN6ig1SR5j0LCjAY0HxGxR/WGTPOGkyUjDk52Fw/DszPwDUf Im6G5PTvtHahJ40IEpEl6w+GXyE+vbRzNi2r/wZuweA7Hk4PQfoHh4O05hQVIpHMOB8DWOByNaoL VBiEHxXKxZ8YvNzY6895anwss38vZArSN/ZNu9CuI/9AbSfPyJT4wawP9Qf8oqSIMuXpAOOd2dzK qmrjltyZ3OSDUHAcV47vAbLxNmbZT0Wp2z7Q28G+PVgfsqXYUk5/0hBn9Y16NWjF8zgX9yuTw1NL U0rYn4qE8+0Uj52+D7fImkL4H6NZ6DkMVoPGsHozOprPGeWagOp/+udWMgeIGBtEAt0Y99pR0uvK PAKgCqtuDqWQhbRcaEGp3GdDEDB2pyltgOJLGhWSieBJsxmWzNOtRocXJ9+4kzy84OZe76CD/8KX EWJXULcvTA1+Ih9V+S3tY73LMVpDEBhXmaYgLs/Q3QzR6pgm6k07lZzOPtymRxpUMBujk/wUWBfK 5fAdZ+IvWfzWICrcE7pNbOrif8m/nUnnyR+46JXKYUpO+FtZb7JJBEc/gxjCkDJardKt2xCGI127 pSf8qGUxreFIgSBui+S3+RdX3QZWpz4w+YyjR9eS5jnx0v5GQg5/gogHmEkwMhqpW+z23QArVYYS DqZEdvyjS3riGiSOvSZSwJw/58nEC2jiuYMRhPoQ4CuUzqVN4F87MR42Ym705UtVvsLyylHXGu1z LmGxThwuMxfoFJ1ZSPCShvhBMGtDK5gxjieuRmWJSOo/bj0VDgz5OR0WxE61lonhpYKR6huGdKdO pvetqlA0iQzccefTDNeWWRo2eoSF+dT3KTlJ0+u3dVP2BS4/ASTpLT3p8E/kebnfgmjvJlZWwWxi R8Exw/5AqwptWKvMkScL07Ml8Y4XA4/u12XL/nBpLHDXtpy4uKEoVFTlq2zDomGNEkCg6ETZPkHe vAaY7BGYkF6QyuXm1hTHyFS9r8qPZYpkurrWYh5puDUdISp1IbASbYmMCo+/rwnpfEbGp8714Tac 4tLHCsKF6V9x+9LNNUXZ8T9cqE48aKXMdaQNAgK4pXCLF+zBHMpPISx/hGZESvnqW4JGT5BZuhHR V9xLxLgXSS/xlcHhmWEhPnSx5pjj2JOCUHCZa0e9dl7FhJFM0bqfbNcCUxNs+WI2csGIn0gX0saL wsI52c3+1UWlx0/9UJy78lDSw5emkBwtlXfKBKv8OLMi2dt3ghuEbW5aRpQHquxLjJFqFWletGeS Kpr7KIOkMyZFBza4Z1JWJwebPZhcK5HM1ZZvHI6KcaI1IkPjItYS1mPe3eMre6bZ/SkDzl+7MhAr 1AJRkRaRrD6BU60Abfby7bDm2EPAHEkeDNfROtmXFJRg3bQ4mWeQpa9G/sj+lBGkILy8+Cah2bTL UamEDkIeMH1roGlOjpkHkThZjZOp1PoOsTjEGmiJACKOeMHkO481eUMRBXUgTsbpGoO24XJuxrLw KJwDZHQeJG623gQN+6zqkDcYfGgMHIYT1cczqNXlZ3ZxxzFoYEwuAaY/tXIsSvd79c/wHNf9n+Rh xhKiF7fFlF4BiSGMBEeOHZ1sel+5XW1UGtF6zFr2BEici8iajnZt4NALw91HJHeTkPC36GVOWEh3 Fj8962fpO0YV71LB1djZY8HG7SHWz8kmIRVoFa+Ughp3kiAsvQkhzNLScFSOf7K+FuA0qL9LhR4l 5Ekj9asInvH0DP4bgv1CBOugg5zNjda6znESoAsR+G5+KRc5iTG7W7EYNSfMJUD5ahunvubWq05R m5cFT6ekMg9fVUHkdI0JB6cDJIVfoTW/vWTKGSxLib0SVdYg0ZxT+9CIQhtBwtNNZXjw+ZHAILpm gfozISDs7wBt3mtd+e+lQMXJlfHMg1mhpQASJ7girUHCHpvKScmePGEi9+a/Exkrmd+MVhJh2vBu J6XdbMHn7wAlng3SFbhpDYmqz4opanjnZEo6bfUax4k9qYLZF2ZkiHo4I4zMU9bJKf/DlMapvsPR oSPrFA3VZY/hqnFd2bNfeCY3S9HfVYSNjjGRCqHCLEWfex8oZewxaphJg/dLfjTqtvot/HQgvaOC X97QmkKI8fIdDsRGdGcxdBekACGg7m6OWOIVzr1NuGTcw1Z9osYLRo+lCxTVjGW+KfChF9AOmiw5 Y1MnlhP0+lJF1efCU6yIgwqEIYk8l8Bwv9SlEZM0Pf3ZvmyIBV+ur9hWapzfMo50nD0edl1hCsSB bGlOXpq6ceRIBn0Ap3f9vXSP5lC++6JEeHKY51DXFJj+OfS0S+MQmKTQJZeXWihq4VsmIRcLOebp uJ74cQO+wThlmOMmwfDuC4DYxvYnSkhtePF0t4BcBzhqkPIs1pLQRbLdMWv11GqVZjmkOIKF0xDT /1J0lkprzU4yPnb/GybYHwY8c2sV2mPyrC+JIBWRm0pyZ+vx1aD3GY3RNFYnkEDlmEscFbyIyFVX oQEqdEICkgy/OGugESdu3dbbzKrodXYjdWAcxzPy6t8Lcyj1kzJJCDZ4DJsh8RRVIQ7k/fMutugr WRw6SqzcvWeBO/BaS7LgG3tP/aqfBCSo285o5aFvFc/UMhVFvep2sXvzmY9u4moWLB2hSQv7aGJk koIdA/dUosJAvscNKjxFGQXTr5hKXgrJaJ2XPvQbsfcDTCzlFovnpQgnbloTOpv2WjdJfT9hpbKn kbLACKJxgsdeEtC5yVFl3ggReyxe+ccy4H0a5jRKg0HxTy4UNaE2+ImnVgrLJlRv62DQ8AIc4iKF qjupQokLfHpLoOzkCzaY1tIiXXTXGc5wBTJdWD34jOuXfDO+8Jtari4T1i1wgFX6/a/8hOqU3scU 3QlC0UOmX7rCyhupsoA0sZBjONRjC4YrfEfIKmRRew+JY7YcpM14uGYoyrUDO+uKfWDIff8iuxVE sUiqncJlh3pTF328RJtHc6YmqUhRGU37UcdDsY4OlKMUmRjrlfgsO5ZMegD43zf5RH3fQzyYf8cO ClZkcysTQNicFov5nQPG/YaGolnOqUUozzRrqf/lwatSSui+RVlYVHyTsc4QeHz5Mw3aet6A2n1O NLpBzz1AFz/SLQq5KorzxsbeWSVvpKDPndYUyb4npBhOHBcwsuE/jmDYeOGWiiQotYj6aLMxxfvt B8gRwawLe7jBEtgseaxghEOaAz1EOTn0KjAghzFnZobUM4vShVFWoDnmGE2Vod64Z1nGGI0obJgT 2vVkp2R6TPWZWHQ2VEayYRil4o5fUzflezsQmlWfwcFmkPmKwBV1xy9Fev16TGxYOyDmUBdvOFjc wNCDporJbdhfvas2pV+82v/z1/6ltOCdRGzGhcVHga1h8ZLPFMkTp0Bac49CjyyFzpQ7Zmhevu+V dOhWU3D9Sj1//hSvmUu4jqD037242lH0M98asuy/vsy/kb4WVxv3tRaJzg8pmxVr80gx8Xtt5S72 pA8kdI0L17blTurxBvNex7UtGKSDDSEiFV+UskBalkZhg/ylZUCeYJpdWFJzmpsUl+EWkTbRFFDS QtdtznFPnHIYDbKaV/2zmB6kkcfHbv5UPkp1Z8fM/lY9mmcXqBxDMCDLmp9tUGCxvOW8+W70N2i/ wxlWK//OzLSm7AOQWdRHFun3sptm2UxIHJYbWMGXXBryeDieaT0vRHMsQywUsl02L1oslB8ecgyu o8zmHdSUH5g/PaIR3KQxAHUdwHB4ZAtvspzemoi9QAetiu3ExsYnZAZdtw1yq71CqBA/eXg/yC1W yk6bl4TQEZRfm/em7Wj71fQRCCBNFihsEyVQESK4kssbQMfYzh27lF5lO6XCllqnytjk2+OGa8n9 4WNnp0hgHB0dYaxOcjBQausJ74qA0BErWeL3KML6sSFYTo9uMB6KQOYdNmcegDlRMyafPOlr/sDN nwhTRi1yZX9yC4fztt709gzRFKOHXQvYIY00YfvFJ5cQhxpvawrJI254G+IQLk9ga+lXF87oem+7 Q6JjaTtV5j6grBrlwvEcH17RqC8G8X/D5XZ1qOm0TxUCpjiYU0ebiPYIigO1PTs6K2Kqj2MxeWje pHuag6C/9RZtgLawdPLN93M/Q/zSUokYmAfdxGZ35G9G17tuVNWbEn9tCRV9JetOaK9TWh1/zFbl 8dQgLS74+9QLzixRzIy4nXo65ImpYMsGiTklcfaPaSQUH0gWJgIl/EOff/jZzsrxSnrcflp4+fKo dvZ9F+T95sBrVhrp1qUay03CYBSWbQkvL0FfLo+Tf11fCf7BPLk2aPt/Uu9nAVpPz18vWdYs92ct RSVTyVIHtpolqR7x+3VG8TzMQeqolXddy3TCSwayNXST9CUsH3esLvi64KildI3oMJZQYLxUlJD6 r+ItZCu3BIwOrlq3WPVlOjVcRosQieP8OSdfVWfxrlaSsXm5ulmx31yBmuTp2KirKv8SkbyD6U61 NNwy7ePtA7r8ywHOKIm/YSn39O8w4rMwOR37CAIYAv16ESJ8LykQjlwVHXw/luMjF9q640vPSR8x c6XFdDvOA2JgbtuJqviaiYgeUSWSQwvrok9zyYaPOIN9u6zj2JG/Dyi0kRZ9YTBqBYURZRWMCIsm DRZILLGuSJyNLXAQR+IRMiQVrC+zqKdO48Bme8p2I7HhtwJoFPDmL4qlxDERvOmkLZxBPmL7lMBj TPpBm3TbKW4htjx5EmFJB3WzvMWSP4jHAOoV+IBUXKtM8RUBlhK8mszVM/6aKAA00zi6uQ8l0ffo gXOHLOEQ4aowkkbjtkXldjQpfoUQo3VWS4fD7gvTcJG+Veta1Np1h7Z7hRVEplwOH2TYFmQsG5bM dGatPltmwd6bdpStqFiM45C8M8h0EYUFHepm1Ths3C2LdkiHMSNRREk1Z+nKUXmfxaQLAynG4bI8 Ubp1eob4eIeUvtXvu8wUD3voFFhHPHe1Hcnb1otaFGfALgXC6OfOIqR/v9TRQCqY/Ym6f6spoako zyhqLnKs/DZZq//FhFOvWGoDp4VjzxyKw27RfpdI/1XGT6pZO3DrUYxAjDtT3q5GbXQ+b5XNfo5W 8DxVzzuyTsXb6/fIV9LAnZgdixmHap6PQ4PSoZBFl/WGk0Oyz7wLMyiLl7xbb4mywYKV4yI6iXiz 0Rrl39vEFBdW3+30QWzj9dU7GcN284KZErJxCsIVL4C//AjBdTGLCA6tzV8qrYSiPxkWxYwANlCs f0PWXPuyO77EAb/PIuKYOETtyjJEQ2mni7ihNvpcuT0SCevtcUr8Rcvzv0qJ+LUfek0IFMPVS9Vu XTP4x37QVVNcR1CuSnOni2z2gntx4/ennHZeF7fPlDRTIZiC1cDaaOtkMio/ZMiLg/1p8DqDJ6g1 VbOGd51wuNEjBIxjtM9SF3h9BnhByjEwxFlJDXln9HtWo38Wo7T029W6vrrb+9oYsqZgj6+uYHBu s5YJfxQLqBInfzIITOFz1ftAlxbdxXtlzxWmbgyk5cTP7PEJQid4hZEFOSGx5V1FPS07vm17ClhZ pPCGR+RHBAUDMvq4A2O5wFapWhtKxW8BuRCdeWdmUYTeAG6/4N5pHcDxVHcieT4/+gCMJ/xstX0X I5Ly1X43vIf2wtr2IFZcT7/kiw5+uJjAI740PnUIAsE3VY3MoJhNb2TLQpP0bT1J/+KBwQI0Y5Fs a73Z9FpCldyS0ZnC7wZRdVEoNC7OppBr2S5V3yxLHBJlcPVnE7+l06hmC3qMSgwiAf+g987dzRee BO0hCRVQaJ5wDLBqCpugddBvtVNdGn2uyir0PrpAl+4jhNEbPTawhBxWiTkAEMRqGD8uhYKjioJn EJaVLjbdsI5rw6h00kdxmUmLktEvjkPYh8Xr9z+3pLsAhkBdWFvmPU/9cN8YQI7KFhZMTafqsxGD wyRBePsNa1+cobHnOAZPgOpbk/WBQymPB1Edh1WzaGX3aNG1sUK3X8S+sDTF0UzlmDY120Gk3QB8 RlWgCnvUpJnee8KeRmZErX9BLRix07oVRq1/iMzIrHz+Pgvjx3q7bpPLfuREqJsoLnu+EN+DzFHa 0aE0oE9YS1v2n2mIRdhF8ReMpEC2WgxxU3cGxdMDjamQ+Yxzu3Cd3wB0IOataXbtXf5RZCgyPzSw iGzYlo9e6OXug1EFGWQ6E/LVjgOGbZyO6jALq8SXgw6RO4Y6bU8zgaPd4MTeEmhAI+jf1VoJXWyT Te5f2Ob/UHEDT+CVsvdm9oR8RnT/GcuwH1kvqGLWbQbZVxCviBJ+jpCm3fFuRFntB2J+viZPCvHV 4RHlYJOVv8gUbmc6wysTVnYduA5fLb8+BBXaf8DP7oP9dyvJQIoVf5Y7u2RBkLd/vtfdYKz6tfZl Nd5IdBRJAXGL92QI6vs7w45fU2QOLbdD3KKzIQZY8d4VIDr7g7zU0LLxA1fNvz9QyPtLzApRpMaD 2QBU4YUUBUesHv3GEdZQpYUHuHVCj4pckrxbxnuFK++wjggLMAGLi5CYczbBYs32Csw+RPYZqZHU szsc9ziLSUnFwj8+RNREMPbR/sWWvntoMFglJVzL9N22M2LIRXPL/dEbz+JTmsXCSFQcokUvKv3b rnhnorlG0HsyJvyaP3Y4a8cO6oV98KnjL3zwE/FI5qdVUtWtqglpzWz0xvV+PaGWdSEkYYXbSa6v 9VNoRQT19xnC+medwOX4W4933ujVCNgDVHndbriQvrj+oO2pfnVp5kq0YhT1gENr3Gpk38NQcWbC hNHOD7JJyQtLkwaMOCAVmg25XmCvDsfQj0GHdSjccQ6nqo+wGHJFupTj4Px1T3HHyrwHH/au7LTr gkmz6lwuzPnAd5dNUczU4WC1B0yx2nD9IWbxi+Ja+sq2ggwF2oqu/Hq2JnLhaPUoVUrMVuC+zPWq 8Pf1/v5/VhTGpzFqwfCauCgS25G7O+s+KOxQO0mdMUsNc8YoU1k9QxO6kLU5PCTj2giCiFzpYocu gn9CDFW2+Vwg9cwCUd2mh6ZUa+TYXvRPcqSscBpieDYx4axwT1bxdq/tR07y36Hr+Uh4xBo+WvrD j9VHG4AvmDBdCbRncbeP1lFwE0BYvk2MWKUx60LISegfM2m1lUv3VtqHgYok7mWUD9NnSqwNVSfG Voc6aHKVseU0OYjhowz7TTMSDwdi9QGuXk+8+1z9fGd8KmNX0cp2C5bIKc89Lp70Xl+etgKALJoi dXbmGq6m7lweeVGCStsvd+463E9JX6AZkHXCvTqu/P7h1VSFGYimb5Og9iU4PX9xmZgPVis0kZZu vOYnsjoY/CZ1hesSvVSiVGiy+kzPym/j7ILvQb7SmxfYob8VjxIye1BA5WX+XBgid7irRHrs9Vde hgSn+fAtkvVIEOlJjCLswV/3mOa/DBmlB3YVDN3I8FOMUarv51m1xG4eu3BbS5tm+1h9smQmcFqK Ov5AAw4xC+AcNsB6nJ46jR7tW2X//7rUBd3ojL2GXHxFZR3QOqqwKj+kZkqQ1PlQ59UKFP3jD2F5 SI7p3AUbY4+xRCbmTKeiWsowit7PDIzMzfYQc/wjCjesm/MwSzTcf8qN3HW4O2w6ZvKCMNXJbjEu vdbGRAYmnmymDYarSTCaGXCKjG5bMPaRpG8wbMVtA7SnBdSVJIlK3guFnjzyq5vvUuIjImrR6zZC 8OsN6qamfEcfDybGeM5hHd4qTJP0JHdBtdvTTMUXczogJX30+h8zObNhbAYwspNkgsV5e2ZFdh5W fsJg+o99dm0ddi02ETvYacoXMiqsnvpRqusg5RS0PlmNqNOgWJDUQHGFEu89rvugyn3SD1GBw+C9 Z0acoe+Z+jC8B1Q3rt8fUlNvGwtbkEvnCyCsDh6UUBQaLtCDTHrChq0Hnq4+hseXZIsI5P38WVZH bFfuO8MTgvDhJt2B9d9NnUag0e6yEFv+wOOUJGIjh7MtwhwhvEmmSIhIPgWbKXPYy0Jxa9VXgOk5 tbqk7NRybdotYE5UMHi/N7gDP1PEPGMYDEW1dLlP9DfzNTAbqwEiwcmEx9HMFCMlRncEUgrnVV5q eLpWIlQRhXfgcvCed7ZPS40BmXsKmCFdInjQwMWjr83Ium/sVfNVuzQTyKYc0bj6Ki4JuWDbjwzq u2thhDZ3Frs0/ft8xwvDFLgl0iyTYLcxukg3V/N6+FAfeoxqzmSkaUoN62MXIV72E10bEfMzIA95 R4TgzEo4iuAs5SJxzWWWLhVlJOtcIa5T2MG5jf8go3zlrpNxSjK6gxNBb4YaaI5URlGUdaeSiA6V CAAbiIbxfzLaun0E89EjvdqUCZsZiW4qy7Rz+C1Om8VKEdCY/tjf9UbyldCEy8JqYQFz5zj4pH4P xEbaluujQ9UEgW0t2+qFc96IXiCXInVuUP8R00cezLsRRpQXUZG4WHjADPzMu44C09yYJ8gqZbhS 52ig//A6fRumtKq4P+1r+ABArjTJAIYM4gOxihM0NFrCtZz3u4lEvgVNzG/gb3pxMolI2ODZ67+O hspwNcEevfY25oYJGkJ/Gr5QB/D05xR7sS8iCENppfp013tQci0k5UkziPt3Of/e4oXENOr0TNVR aI1dD46FtAy+Uz4na+8TOQSJXZ1Oo8pH7k6DoS6YlfZ1ntTO0N3EXs5cCbRj8bF/yG9IVfcJ2Gui PViD/gnuwhpMu7EOgzQDnf73mIvgilgHu0VcQr9gdXFbxGbEgfMUXxuAe/XPAE6i5eHgeXLbTIOQ JAAP12Y6ZZwbyE2rYpumDVqcK6nNci5B/7XOSyHEeV0kdPd+geSHTNHwhuD2WVfTuCycmWUkj4Gs 04CIinttg74fZanpGx5ZRXFbyyk8rzCmYA79l7SgHU3tDVYTw5xEfMxEUXLD58I8KHhZROWouFnv 355mHpuT5+Pwqeu0qX4KJ+tTXX9ZGIjppIpGRlgUsY3Trxc9Hvoqsgi6Q0AF+ij26Mt9az/+DCjY yiZRozZQ1Y9c/TLniOr65QCwuui9YtnurcXzKAFAmYPB+Zu33dBKfdK7kO4iAB6ksbToY8yfOAkw NkHgLmt77KsWecccpDVRGuGmFRPKY+bM0zaO4aZDlnPwzTHaktQwYqeRaYG+6dqf9Qs5/3SpLPrn OJwvBUctfOYeSD5lq3CQZl5xjJtFKitSw4UYxEGD+g6p17tgI4im383NqEod7flPyCh7gx+Xjbx6 mLJH3IPi7PqHijx2G8oFthRXTcpL87bddqOfUkEzno8lik+UrtkMxzn4h2dypJz6I0ir0/cWLx+j sFPeAwPrn7iOnkrjBJSLHZrBwf3hflGDp8q2GHxUEf9Os1ZYHZDmhccdeSbBDGmZR30RLhqylgd9 MTQ0zZ7nNl6XLXp75wFerznKlXLmVt7dFQSdjauacqwIq4e+he3+DRTewEardAh5DB8QB7CV8oEY POpBAOmpLZAW+X0+5qFLQJEITxd5AOmyoRj0+KoX0GNnjn8eQHLY2zfcQXitaFluNlHQeU4seyIs dsC5ZAgvub8Hc/d13T/Ol5mwOhDO34cfmda3pnwaohlRFNQ+Af/0oyaiKaNH022gXI20Taf/OuD+ /4tNsEeP4QqQsGtp9RucsnZcmL9OpfA1YgRWfs38vKkgv/gWyxFg4HRlpwuLwZIX09g6K+DFbV/V NqeV01qkztUKqsiCmZwlBJQQRNrzDvmAEVVi8KsKFOU00NpvYyzL95Pt+bwWJ3zriaOu6X2Dir6t zCOGkhcZEEknhjnXulxqNJQCgBVhQbg50z/lHireq42BuoJIaBsnX6gvTajjbLx9qVc/XNLUQVNu sbZchJL/tGOXmLcujlO4bO23rsHkztl4QMW+ZIzILTjlfL0BOiFcoEng+5vBLJ2RbodzpT7GBahN fUtkHBkNmsUy4ZhZM1nwLHmIyuicc8KKLMI2IWHbwZToxoaMfgqgErKp1Ux7WEaU1xX8KsoOY0NC 3K3CWW5RZcbDxlyYq2qQBhP5r0OkwF5kSQfk9/qqQfariU3d1hEfA1Xzb+k9xYeuWPcLNjsImf0T N9f6ZHhCP9W0q1Tx7CBIIHe4NJfhXhAlXT36Uz6gSkUVpvswnqg4sbIHLAlfV7AXjufccUyqfJJS JqGs8eoPLlD4vn19Ia0R/Af5cDJXwiNnSgWIYpVis+ChAk1okxJIKWzK3emKci63LCtgbWez8VO4 hN6OhGmgI7V5oQEvmKqja0TOkqJOsyggTVYtatLJRVTpJOrcFIn9Etcfp6rOeHLB0qZ8BJip8bf+ EHQN4h1GW1MNhQ1+En4aGaCZfsEyMRYXSSS6cQwkJSwTlgwHKHX8S0icUE6GHDtApt43idDD6gnR b7pQcjTvTDLsGxoP83ORhuICHeVPH3r0nxZj20S/cWcfw+gOYj5EftmMaXnxtlmLpjESYM3fpKTb UUeWJtxpytQjI6svsJAbdPv1PpSbVWk6ZfW9DP65GicI2WyOG3/rSYljwGlCs2q/fON6kMJhjP3N oK2WHPvJdgrHHgyBD2A2rO6U+y2Dcp5E9054FUtOq7wLJuKaraQdr2crXRTfmYeiLh86KPFy0A4q PFSU5ADdK96l8rIGWl0cLNmHfP50/f3bHLWdGouBsgHDUHgH5INCd0Q1SuZxhsMJ5qvoJcGKqhTc rdUIdx7OGC0x1fOOA74mvQXi62F1wR48qyFjvOCzQuClrIGILhA+tsNyHxjgXa6c8BrcRwAR8NFc 6xoGP++dJZYP6llAnOmiStDQd4XHPDZPk6SzmEN/T9Tbehqpv6XTTbzA061Icu4oAo+kDnAOvPwj Dunw9aRtwIQqRuwAwHNnCQG3B2Yyyp1J6xxHPykUd5RWDGnKYMStWLCeiE5mITM4oU6Mv5Qcl2w/ fOyuEACndB5U7tK8CYuKt3gZkmwjdQv3dHi6SkmvJWmKhT1KMVJOFiDSkN2v/uIhPwjouMolzUR4 x7HqNjHiKg3+qJGvtety432FRZHjesld7t2vmZZnAzKhly36WCqSLYtWXFIU2EsWcu0XI55YgNCo AiJgbfW6+fsyAhd7MzmGjag0c+dLbAsLofkb0bZ9AH4B6AUrpPHQXdTD+hqrB9BgL7EfkBoYRUDB PhyT8/Vdv75y3uP2bRElJ1REVjVXEHYX1tNgC5k2A113FPp3lhq47qqaJr1yRA/zFGxZLt6icy1u /h/USS4CdCd8oue9NKvaFQ3dHaSILiBG/3bnnRuNok0KE/AxbfFcbmogvzbjlJgCokpc1p4ikx1/ ex7tz/nRpwDQHHOmKb9buoXWGa2RoXUlEGKSLq5Xex9H/tLCxoDYQqySEd8Rx7XBOc5W4Q0uYc5U PXckFsscNbmtKstd/uP+Ovax3EGHogXWA6OBfysaQoI4a/YvIX1HQVaRiEiBFwsvvhxk50Ym+Hn1 hbaWMXcnTa7NGdUfBGAJhkAVfrdKSauclclBQ1NVlpkz+Y/IBnZXNOaoXLCDaHUG0PuK3/LF77RA eUFBCYRATpaBQLIOFvdQINjgHRHHO2KE7RIoLc0NI/9YMhfDXe2iAtwAr8WW7oo7NXVMJKkXFKYc n3w4STLn0B7T5U5kEpQE0NQwZlHxCl3Fm+Pd+76lxKIFUfJl9BU65hSv7RlNYUQBZZpVtb+uJ0yP kcpqAsFtK0YIPV6d7w9nPXFoEqTlQccf/7mouNQGzRGTkIHDrdnL5jNWBTtZL2fxbQmpI/zxp0D2 wQwphewW+h+mtEiHIIOhyxehTsdIAf0yvRsB30LwxjnYK5BnnxmvpYaCj/rpg+ZgeUunq1rIaMe6 PkJx1/51F2Ntk1wSz7ixhwrwBs0ky/g8fFk6tk7B0XHT8NbJtTpd4Zed7H6eZqPXubYMYyEhEA4L jUUq8p/gq2wBzGwmC6rlvPWUBvOOsZMumRPMqr251PYdnmQU8ieMgyOs/WS0lIc88vTwgpLexz8g R649ab6gYy9Jz7a8ZeeUw2+DdfhyJRBtMmCppjJn7pRrOCt7eWtIPAArPYne7R8otdE1Lg1YUZuE RAX1UQTA4KPiIHOCOCZ0usinQETTuqfRvFRCaewU3YjqfqLB+v2xvxrZNkp+Wd09P4sz21HhtKUm 7evc9p3cTMhp9jatjyE5Mx4h2WyZQ5jRiYzqtaIykr7UbQA8jMWwl4zgZCi86gckeZhlqIpjWuet yFQI6NtacPsTck2a5AI3VjfvlmWgV5z6Pa8XWo7wcJD3eKVV8YT2kqQzHBw/mWqHMrR4eUUl1OF2 WcN/fa8iQNS/AhnjAaDQAvWkEwncm9FscGkGEC+kP3YXsJ2AAVd8C/7DZOoyzuK06W/IUWh1+8xW TGWjOZZmM1Ncq8lpHBfxYD4D+Y/rxI0OelHJamjmqcVL8e299kZ1sba137LOqNj+PNH/SbHJlH7C vYtBK00pBmchtu8INKTacilFVcRbLsUJcQM1h2R0simCVDGHZ363ATxl7dfQff9NEubVjsA4aDaU b1T8WyWnkDQg6RsbO1+YOuljseOqMP3tozvSTjZhIziy108MKYctOLeybC44hJB86RpmNqvqwYzs WCTVOEEhpS0rI+fyTvq41eZno/dI+QyZBLLEDXoXSBMmYpFzKs2S7/pTjVDY2LE+7RoUJmwTHQ8S 0i0k7ml6tuIWx66F1wee7Y/vxunCkHj5LsrNIoPHR1+FVDvt+/hAmC51TbMfCVSItMc4yYKlpDWs NtV+cjVutIQfhczPYQYjOiqt1YFOKgwhuaTwFqCfsLXpkUEKQCEqGCJs9k//GAo5u7Yry6fuR8Kj MA/BcGDzlAILLfwtfgz2oDcR3DZFTT2TKnRzUU2vZ4EdpkjjWyy7Pc2LN+FqmohCyz2lYpkV+9ez YopVKMBrwuBVeVfPIqU4dZqCLOc+Ikz0yVcoK9KsYXrCpQ5W7d5LgUgdQgzAsN9r4/nqMQqdZCMK Oz/Cwi/CsDPlBdK8R16DOLI/Zl/oR3H/ZTucrE+5eforEUZUEjfbhOZ37T+lkw3HI7ZHh8hwnamg td4EoYcqRifnBOnfKRD4kFQxM9RLtNow6hCPtrrH6LQv0+IlNIrqxXOEDTfY6H5gv6/Wk5cEsKCq gGb7DQaGPTVpyLcI4bNX2BLNbGtYWDT0RjKkPekXK5WFCZbppzYfR7wBmKlbh5GYlTPoLy5x9KU+ YjHReKuRfvlnVUfO9zPbImKKGjqLnAvOMd/ulojPlwC1/FKb7ZXIgNrJx7FNVdtwYxV/2WAUMC9r CXK4u77PPlbeuYvfJOURFqMP/yJhQu0GV95F2PAId4JLUT4jzLoIMsHC0/1zSK2uWkTrh3Tmaubs SMPdf2RsfpCSwkFUx38bJ06Im5VRUF5yXKMZc7qUjXwqa/RYq0hZbxJkn6D2ul1Siaqi1YshRwNR E4I5tSHN5h/wr99xFseTKdZjwMwzg8Pfz+PWhf/EdL1K+ghV2im647Rq/VGGXvCv3T+esLr3L6Cp 2+6ygTeW4muGnvRLlGp5ohjloq4Qs08QhBfCzfNZiUIef+EI/j2U6mxzXDpLdwSUOXta7JhaGGwG xIl0n9rkaxzPrq1yCLzeFFUqmyNy3AVgL7bPKnwR44PqzvZNZAzJpsdd09sB1TCvdAjJrrjdUAW8 Jhx1T3bKKk/B0hyiaCqg4KBU0DEwEuWNlBoRMkcOVlNGtmzIwwDk7/kDhAt12+Yobv+QauVREuUW jVIwpaMjKLh3nmLGBmKDWK7IV41OTWRUuvn9BJczkexd1wpvASwyx7qcs5zEc+UjDRYEtzE9XiNY KC4gCq+TrJChay9HsiAKjayyuEEWb4QPBry+182drgWRRxlzDEsA9FC1Iiv25RsI9WesZbH8jE1j deVvWwUSzUl77nKHH0ZD/Hqo+1xJVIVdA1MSgbDlwpMOdpnRpiP9y9q0ok/5K2mdCnOpULFYgFJP tIBomEJ62MS2903L3EZLw1hJpMdk46OMcIamXOyGEIatXkN3lAzcASD4Qsl6uSBJkegVYvExRd2d 4RRJ8WgLQi34cQJO+yV78zIscl7Fpne0flulQls6SN/3KdA5IM9gTmLqBNKXYNulAWndFZORxasR icR+gf5xzWxxrLR+BzQh26Mo2arcjKhdnyxcF4ozb/7pP0ZZGkeyAnz6X0RdQK2YriOdZxG0TNRF oma/2f9JwykaFSRGqig44oluM6W/k8iQbMftjDKK5XHT+tJzVSHZg8e2Z7a8P9fcfPGtrdL8Xtls Wd+DoIqXVwfvjm2BEFsHr5DSuDrJlaLD3rY6Vulz1/Ok2rL0s/WtIASVRCAxZPPTsGuph6t9h7cn gMmdNF5e6iZ/4bHliHwmoi94qZdBMHgKNU9UNoX0eFpxuDvcSXLPwgo2y4kSOBTT5PI6H1TCORhy vKSWnTn4BzwlhWQpsqWgaxZsom7H84gNx7Ri6XcqoeNwkcz2c4CHZhrniVYrUh7SlVRQ8BA5XpRU /+YTZj1hkveLBHR97Pl2iTn85I1JQmPnnboXLSRvbnvX3BHYTMVhOd7tmFOKkiSV84N3IMpYjJCr pUqj0ShiqIxN3WaTrMlryP7XBbI/vX5Ws6/gdVo7NGj2kiQgTKPK1fyRBrM/BhSX/eyF54MHnvI/ /fmXbA87Ko6WkgOcTXSPcaImiZXYRi3xOBYTAp5pD+1RGXLrGCTzp2WwoA+u+TF+H5h7+UVmNcaS mCvIoUbimW/3eva44E4kmMMYu4/9ziwKnG0E2P8WyPjU/Ejfl/LdYPW6xGiPVWBJLZoUwcVE2oTD USnEuEHT75WTrXaxzhNFv/rNTZ0NKgJ5U+yd+wDGp9MVnxaKneXF3xbQLrGMhTWnqf1jCYcQsi1r 2LCzWY+zK24SKXnz1lxvN7T51SrD4p8oEee/OoHvrYvT1vQxvA8So+ocE1wxGGaZGhud0EmNO8dD z93nJF9C5lQurTNCdCHHLTJMowQztdRSGkfg/zXktXy0BqAuvwDLQ4hRCKwLk7tog4oBLx6BHA09 m/9aX7F/9YS4YV8VWhI7jzrihReO4QUemfh6oWxF7EWNMjIy1qIIyQfuayqzfjTq5DkHBf4C6J1E 8ETeYrNyY3NTcDbJwrgx7wQM49QybNcFX5w9dcqT6VwV280PbgUE3bUpD4c4TsZk682LbVrZWcuy VOJKq18AeOWFBeKFapqxl4vQ5D+MNgYN5RY3id+rZm9ybKoV9/SNI4eGq+7alvimwijgbr2zhdov MXmhmK4W97aYOh4h7GRksdSP1bXl1nTvgPiv0oXJXdDgp8Y9DsTYBa5Xd2fa2jKTa/ldy+VPstFY 1F7/oRMPR9SIT1Lil55N3WPn6CDyIXWys9js8aZomvdITprIFHhSpTuv4VuEVy+GdFxg3OWBwW7W ken4wxSlr+v2b63Gg8zcEMWu2JCmJ9Pf0jHGcKiyXcw7c2toJVmQlI0m3s3xiNtaFmyn+dL6olfv 55ADowFRvl05cyL7lVPqRZz3Yx6cwDnXHmwW5/putPnqR3pE5S9CTL/29Z7QB/39iC5qK11ymqdb 9XgR7xvgoQ9CssNMJKSemlslyGRjAsNQMnqKzP2rG2VtQHV55+6y1sUW1bqTNOOnxt76Nx7bVGGv WY9lY40DuQ/znGD4mAOjVB0UpE7dj5B1Bd/iKKG783K4hGSVsWXt9cwZSKf5GOFHe45S0td8wGOa Lxr9wtNsxou688bnfscjVgwPF/Y4pG/+SmD3J9szSipw2djDZ/pMMbR0FsM7kjwANJab1ZUXxsr+ mn8D3fXZ+Nux5uf+j5zS8ZsZ1NA8SDGxaCdPxIZRoaOTfVwmHidRcCPFjINuUsOyu38XqHUjtayo vhDUTVVJoUwKPxL8A2/lr8vBV/YKCEPH1GmkIR0w/JXBSLGww8cjDCS9wxouwDDyl/EFgcXqx+45 9gfouqsmietr8Wpu6/RBGlkTF9V1My+5h/7WDej3lUg3oeQU9EojfoTgGYZ4RuvuElhkQ3BpW3+v rwfLEuDMGXwH4k1lewF9gk0tYxxZuVQW3Qwbp0RV960pAy59fIXXZO2kknUu0OPpQGUJpCLNTpPk zaAhVM+vUQNyV7ku+JYou/rYnujEVG1X1A7fkGhPWijehM9GPn2VbTwY91Vl74qUDbEiF4iy6Tvd j4C6mLrht91l6c8TH7K+9xMm1Aidh9kc8/WAi5NGyuKNiRGpQm1H/+kliyGOWSmorIn62t/ev2jG oUmsdLzI/OHdStrAECAigwNmW4EnjsDAO8UtGZiMB9IcAXFLZbZUtsEI650VsOWrhNG7SVy0JeqF 47XyJ9Y3LitjyHO964yAMhd7BqYqMyOuONLPsAAVkLEDJ/0VqY002uiTl6dcCssenwCeTCiG3MSF FXQV2P9ro6Biw8qx+4NDcFx0wMkbnqmzGJCwWFXz2kRFFs7co1mJV6e2azBpa7LKY0NCGaYoLiOa 0AcXLL0odw3bENfk58HjY7uXSk1YEcSUTT49jnpNlrANqTPX2h3pLNAvXcdrCige9s9BPI5pGl17 Em4s8p6OLJgX8H0yaaq1L5+GsNXF8q8HZTEonynPxOnC5D+NA6SsXhx3InjoJsfAcYwCIKKL8kbT DxSr25ahRtteJ29GfNRgT/CiFZRRH5q854G1jP1gWD3J490NYV4hopMDoYcNCAuSPP6YZRzn3YpH U6pYj2CSS7ngKLLey0qJg84y0gf0LmGVO9Xqe5LbnapTt7K8zgTaYjVLwaX00j9doEwf4odK5UgY 3b9rwK0XqyX2SaCz1unPQjmrRO+jsrZWxAs7eYgnl/94+wwWMgXJT78X5KITyY4hKUIEMCfvJ/i9 SODWfW2VSnKXY61Lw1BDXpi/Z8KMuhUt+AKCn49NPMVyVVGiRn3uWXyoOTLwfGYz55hWazQwkayn YjGLYCr3CVRRkuInzRgWWFeldE+8r8Rh8AcIvx/g5rYKU9TA3LNqVVcQikqmiYO/1fUkaTdYpk7v hY+jZNrtA00YsG5KLu5BZRrXn+n0RNaq//LUtsHFVc/KKzmbq/pS5adoEL41wJ2dL7ZCQDWylTkd sLxSZBupLbfwMHQol4StGoSzeTQZ3CYW9UIaYwftYSRBXCJ0YVWzj0aIQDEqOQRtPRN2iafiA/n9 s4LoxXRdAyT5gFaP+2m+BEQ5IKaL02hibvecFCxNTYDrKpemY2HXqBSrOTgIFmkpYtMR/wtcaTtu qCoFZtj4XRwgAtzMF8LySfd+zcLAghVd7HVnPLk2rh0HfMQNOnpGf3ppPCQuCKeXSlwGqSxiCrGP B2WMsy4x48QFphGfhje5695pqhyHhInzTYzd/EhkVAEp48EYf3cb8XXNrWJGvg9HZ9K5EkDnIlh5 7vhB7vJzsT56FhHRLdqM3i94tjey81vkOvtTnSgjJpVahlcAutwSOiKKIdFcCLiHIKyxVK/E1b/e xeXudUmDiCNTTvtwZoNZOBd9kKMHKeUtDKCBp692TdblWb4YtRE7cJWnf9ieSwaiD5c/2dlnbn04 dTwSyLHkdx4g/k8vX7+amn7xVYLDBo3GfaTr8DPMrvxIu0UfIMctib1y9eno+Sv13z7aa+oxdUR5 MRzYGVTv37tC2HxHQc7xbB/BpjQ+5Adb1TMmm5lNkkFN4gUJ9PPPrQkVSXWRvL0jR/4/SBq1GUP8 J2ZG+5cuCKOlIIjqLzhHpOc2dyoJRTANsdsoAn2tFt6fe3KutqLOkt8b6r6tx7Fa7Zb86w58eOpd fg+RKLkAUQbMyK5R3WqIpHUlia7WRLkmMXioTGSQh3YRoRDTxNMTDMATp0JxXKMSZECxR1SGvF8a J4s2u2awce0yYKueZkB6IQLxyCmskSt9KjqgKMpeq09Dwa02STmClRcsyzR1+7WRy0A3qKi3HIzp e7TWMfHF1ptmBFe8XoEWq4jrFllR80aOKzDicPJ9DZt4Q+SX/oe3IWHUJgbMCNDKyXb0rP/3iB19 j3TT1U2/U6azOm5zCU/bWCceIC0XjnH6M2UsN9J/3v5ij3WQUwZQZ60Obr9/wXdir+YOVCuDS9B3 Lj5Z0hKSQ9NBHjjMGP/9HlMzdvnxrX+xEPe5rZaLpr36aSD7Kkfez391Ac8e0qKxxlRI3FbpK2T/ uID85wgRjh2Zj/uLxomxpHTjxSPDKSjzruWBr5Ch3rrjh2udy+PhkyuXQQmTc9zEdnL5zUXsoBIY EdRerG9/viaOLx1xhmfzLS0DkatvjNNoJTKTtJfEW9DzCJGHI4yP3SiD7oI/OyIJt1Y9fD3/7Xd7 1yEdJPAseV50y2GpP5hqQIerhunui9OkQ8NtMWXjwZt+rOIgNw8wz91hBRmRcQnpzTAhfWjf2Ses UUcDFhirDZRmt7tzu3yDKuF7dzb9PlcsbJn5aB53ncYuddt1QriCZnmNyDCjYpf2EVmy9fpVoFKp x53JMKxeHkbkvljBndON2vVhn97yFSUawbyrrMEh8ODDF7deiY/3sePVnvF1vB1P7Ya21K447+jW kFOzTBazkwUpMYjj9AZENWhIW7olkzNss7iax5pCvCXdaA8iXUO/V1lxsuE9eKv5jaZAmS/gIE8h WpeMRFyYq9tSqihoEZqdRXKSBb5XnCsozJV9Ghg4NZrxFu8djjSvz2hXOVgISmL4HG51bGFFswqz ALk0o+LMvpY74csjxmUq6rFbWfiTbIMS3SA2Q/jK92/YB7Z8O7ZQ++rxPO4sC9VQ3xRa7212jD4H 2hAvPmKdjfmskP+2+r4XSzz7CbPsVvjo3WdZw+WvJ3njSsMk8RJAdmwZca83HNiPVWtJcib5KO+5 038IF27mLGcsfmi84sBNj9zfX8g0w44HliBN/RnDnJzA9Gv86bln3JnPlsvRJvjmss40InB8yjs8 tHHPVS/jFZrgub/+5tFl9UHTR0PNI4175ECgA5A8RYZ15fFhoLngSRiohCBlYncXKX+NQroikiD6 zMCKIwDV6PhXnO21EB/A9E9R2qTwmmQXz2ApHwSp+xOTwLgrgToelzu4cZ38TZ7hkpPSgtE7Re7p K1w9nAQ5IhwSnHH/+5Bn6DHqXyfnEzCOuJSwNfyPN+ZhxOYfVxLUTQ0dGXXEYxI4r68FwzcN2eLD MqNjGLJU5dRgRbqubQEHwq4Sbpck7kraupgCWWkvN6dY2Bd0Qc0p/lDGPQyfgp4w+JWWLAXRO5oG PD4edISzyL+2VwUmzy6zJ3OpAocHKU47fluOKncTrrGoY/BDTnFt2AcTenNdEp5iNxf/N2/TlFyu DYOJlNSGWFO2ynyJrwKJOfgh/CJZKyKhe+fDwxy7Kjr7KYjJck13BcQjaxDIBc4u03sadWq/etww 2S1TBoc15VZFU+osccR2xdTy8I5ZhG4eny0pMtNL7muSZDbEJP5DPXr4avWameT9KgjHgMKZAiIj LDa49rRtd+1FymqGzJhPuxDRWPySs9SXthMeCQT7z2mcRwY+YICcNqX8FYqixo73v1bKWWVM+n13 F3PCC4p7wr3BGbl/6daqtNhhg9KfYiTBuszGWeqCMLx2Bo1ZvjAAgZOUA6xfOySfHB7HWZTn/VH7 rHPUWY6fxgH96/rkLSYxXEQ0rcUnSMCThQ8V+rd0pqCiXpXWMWDRVXYaL/IyAegqC5L3oXcu21I7 HlZlxCEyWExir5WFMlxQ64L9lUs0dJ53ffIaQ28nJkCPFmLFqkiq4MdPbrZvw3gacPQQooffqK/s K2eLeoHqE6kfsmYD9fEbrsxryAoTdZgFWkHGSDfO6Q9Ufb+JKR7ZB/Rbi/pFW1LoDCw0xsAer9G3 GgeGfF6ntZLUDwoT4jObjyMu7jK7sIh6B/7LB0DhEC1JWiH8zvMKOBuiAwHaAC6kmfW6bA5OZuLc mfFa6e53cDakkgriD8IQ1gagG1Zlj4YrampTvDfxJUDUh7xZNINxvvSFlsDslJEOKCvIF0fqHCbS Vx7OThfXNdGf2TjG1/0dJuKCb/E/4pXiM00PgELtsTdaX54ZObYu2FkUgbluGA07d+z90VJNW55g Xn8l8Yw7Bc566V8SJVeWbFNyQEYb8G8gwdM7qP5e8iG5qEsSI9vrUR3ze3bP/QHoABZtF5HZSsL3 Fk0BjW3LzMC3gTCykc+i8vSQghAg221Pc4Pk7iachb3VNqVKPcSL9kGrVpVcuqHrwoSzvxPYR6GX LCXdst0WMio/jVkLmbz1fU9Crd0KOUo8mSOAB5LNQz8+akaXBC2DuV8yZ06bk8yd2EOemN5gF9jl WCZSCrVNu+KsXzf9t1K10K6B6ixk/QuHpAahXl7ar3sL0LsKms3F9qTgpO1Fv28/vj0lp8xETgNS a4p4B5HWngWtnbdH/9w5SqB6dsiNoAR0ED9q9rsy5JlpK9HUwr11kWpnxyc/YLZThaqJMYb1P4ac Ry/KwfF5RqeWNc5QE6zqOUrExlVyxYErXfGPuTxLm0eRk4owQAKxnx84ZL+dBVLB/EM1Dp2PNZYz r5FZWQcPevc2ZefCKV6g6Gt4Fujxa7IaKScfdtQcFewi79T2+jmuhA7Kvoq7O8IkuIPzEHSpw8+W bsTjM794u9GzDUEupWguLxTixel/6xcIDyZ8XkwuW9fhE4VUbrp+Vu/VaE6VK+WkGXNAnqwNFOWn 18VHkXBsL729vazaZugztdriAiN8szAR5tB+sHBzSO+iCtsP8nUINE5+KwnqyHMQpVOQUNyTpQd8 nnuDShb0pXG/aEonkHwCXJ9qiqEk6MJWA1EvOUyEEo39cZ7JOhYfCdeC8WAklaZHsxgBinqu+MF/ DFpXGoX5LlDxPyPNMSA1sI05VOHv3JGBOwneQI0A66gJSiK7sNe6H8uEuTqOTafCWfQyWwkpsBly qOCLyHknn3g19O4WA0Cw65wXrUlnDgXAyYMWyLNtnLI8kJFnKdRFVdc4DsOfzbI6XiUD4q2fwd2i wNIZKSaGCMeH5qURdx2fEevpflIHDK3rN5A5YbapZtjC6j2mtHSOpnhbPC8CwlIRoaaTNxIREvZh RZwth5v6lSCHrAN33bYg2nAVt9q489TQi+TWEw5biOcdvMhv+LAlDE7ULharTA+Xk+j1uailVy+t D5RDx+tBUXQsy+hN+G/PODo/1QZ/Y4gqxvdOvS1sOEiH/wKoEUeeSOAQipDkudoB6IvTiJr1bB12 mrLfYc061YNnsNiokfJu9kU8xhSk3H+hbGblf7tt5SbFOxCujzxdwZCbuCXa1u5gCQIPCnPVFqou eGXUxQiufWvHjuVYQRcKtD6u2UWuQ2u1lDyN04oeMm1gcDRz5e9j3PBwtJQ2w76oZa7nQrD17l+m 5rnDwhcDJwA3gqVLxdJfAg455S+Sj2GAn1gE8LtTb97c6OTu97oBjFmoRI+wFwO0Dxbe3XtLjbmO uRyuitF4Wtr8dKhWz//eQ/GkZy4gkgcUY26ilNzQqpmFuyeHmdhBTEiSdwCkSRFlAC6NMVijcUKK /C5StR/u/uUYHhfUYGrOmnwP7wAcPKRrH+fzhFUFbE/fKhyjtekJ2ZL5cAGPQwmRtdEhxEUy63Dh X1aB/e2EU36pwPAJXA976DCy/5C06q4naCrcxZ+q4gY52/V9BxH2QSdo9/On7zTGtK+kOJ+joqDU p0q8fR778EpT4WdqCUEFLiuoxI9rqtrhKbY52D5hjv6g0FXuv/Vgr/3oZMjkQ5MvF1eAnV9O6LdT mAfKzwQIY7pdDHv+mdMTzAhv6YBDGD/2sLtBJa1RXT8hWK23y/sJdYjM46atA004PhHF2bOMW4Te 7fISPR9g/IGU7m+LjJ2/AE5IWJDSLmJtHS2I3xJuE/L6pXrE39mPfvYVZmGYnRv3HghadoRAy3M+ SwWV23f1h9o5y0CFEaiylBvU60vBJ60j5vnqGR2zitZ3+ccpKtVWAPXFERXatE2ZwMvj2+ix76cG Izl3oQ5UNB2H2gsrRrqxpqwo/zN7fRx3HVVGhSG98WR9yKBdu8PnCR/AiW/LTBRlREtzFsn6bHYJ ElRV4uHHMMZHEAGx7o6S2poFtIee2UgBMangBdkvozwWGiGJ0GCNG1TG8n4h/ffuqfdotwelPXpL g0BtVdiuXpgNZdTWPw+Vk1Ggjq6XUVI9ObFSNY0seovrH6DkdRpwBx2FEwP1gDpN5O+NqeO5sv6X qvmLSTHyflImA/W4n8GuERkUauESfbxs+OdAiqxXE/mtcZ72+FAFTFtsXzqYOXQfk7TNwSWrk7mO d6gq8z4Ii4JqBpqksQdodcUp4maay8lIgFMMVzwynjYG/75IotvBKBSW5XOeQpbKSdBNjdudNCIo B6yeEqSLi/WZbphCyYRa7rgdcilr8fd+Z5mnIDH6c+iE/hQoMIIdRHc6LvfvG7f09leYg4/98T6Q AT7o3hBtxwO72/5rFHBs1YpEE2EkrysjeMaW1aZDO6ayxjtWGhjfSIzErWS+t6SXsOWQ6mJ+2Eyt 98Cdh2nNw98/CZ9iFIB5WIEqBTj8caqhdJmt7PeOSyd7auc1HDg7dQPWZDfGolraIBsJfC3JW9mN xboetPkdasWjJg3Kr8IITiy33T8xBm42E0FswGFI2i8LEyqZDt/RcK1d7prxuhlkXzZXn4znaaHA itlHv9MmDqSlXR2njrgXJXONm8tfhD/FGVUvILVmb7RK/xZyzpK7xUj5YN9ugrgYDacJ+uCEHZ21 7SgoryIS1uHx3NylRFSzK1GIG/mAPYZ1PsC2iFVZVr3BA0SOZR53ie7/TFc2DqrVlyQYAy+ytl2U 0jLN9BXTVanmDzh36v3dZ9bv6jNYyCJE4McMM7zch810TA3T0TcvZZVEmapLgH5xWZw12oiD3Awx ytTxFDPGg1viqzMxCYZTMw3Q3d7vlysac7xxHKcmY2az/CODdi8YWxQOsI6gr9JLlqBParAmO9Fm nf4S6DzsFGebmOFM1PgyK794wlYuRB4s6+tGw83pEyTRydPs0E1cMz8dKzGb7nI2rgttllDWqO+c yTheyno011QCEhB1YLU6rDdnsR7n5spCRX9g2O8FKox+LGbemzqWX/2gbPLh5Vi/v6JF4ggGGBr3 enpjbMXoN8fQ150iFFbbw/McSd+agyOTRUxdW2uzKCzg3aBMTfR+u8Mdk1BjrXxHAIE4H10AKTSb NZzn73f/9rbcnK2kQ+QxlCb/RQNatb6tMPLH1f+an4SDEXzLO0q8AiNPA9ITJ4uzZOx5HZtSjuFI P5kJKIZVqO4Q/C7vJVS8nlULppa+Jt6aBpqSxgJOYh9PHL3XWvTcYmFdSs0HjOO1pKrdiZ7z5QQ6 7PIJxsQgn6cFMi+SvRjJFR8TmZ1nrIZ3KAfI4ppzoKW/WFZ+VTraQilQseTyMgnfJbFfhxdzhhw4 V5ta0r4YiII+LtZ4Z9x2pbcTjHXo8WQJwdLgLinSL6ES3LHqzHjF9L6lMcw4YwsorKcyJTx8Gjqx Ru1Ua4oDiGMAff4+AKrqB+Yh/QVXkrTwzpTHlevuMOikWpyUE3y9DWvYvRwCnj/mUSk981Gr8FV0 HkcUjdLYhvXpxX829+R5f12I174WWJWSGHIUwbEGMNfdGfENjyIbwJlppdfMItj+Zic1PD6y9GDy vm1tZFFmIuwY6AzKorCQmdSe02XYZlK0q+aP2WO2u4bC3BBgIbsbD8v4fu2YirVEi7eCURc5XgPz SxZmbJbvEsl6FZ4b7/54AW372l+6DHAYL7uYtVoX3fX3nEPNeEtfoTHX6JZaMeq8sBvt7zjg/Hzz jdbuHJZP3rii+sAANKq2Q+XPNhsjPQDOHPNBDPkTOaeTc/23laMEUKwDr+QbnMQZdz408kDyGLOd vAwOEJw/VfihAAWK30iDm8/826CPGzeGttf2Ek8FjXi2rVG8pDpTcNSAmcyw1QHhsd2GhvnC+4Vn MiexgrQODwYBTlH4sDX1fI135WRArStnxb9LUYM/VqJ6tjljFUM3EofYPjm/N4Zw8UBMiZJVQbx+ YLZUhMhx7g/HzSUiIHwlgTwZPczkru1hDY8w+fQMy2v+OX0K3sTqIgLDWksqkHGvM1OdciQ7fEiO GRlAIEq7JMMChAPwPHcTwALQNNukF9QU2RG4vViMRd57GDv2xiZ9tlbBsVpotPiO9rU0z9+uJIlo uQGBpdrjAtXbfbqFm2epwl1oz4qHrrnsuDshMi4MxlVeZZtKLz43EcXV8JPzLUfex3KUqdltasnp SRJ3Ixb2WMXZPQkLq3HOxnbFIsKflAGikTYI6pBf5xqcisBFAGSEEklt4YK6byF1L7GsuNFt4cgD PVKS1/h6f9TrG9/BnSwMKBfAy096CE/nNcIVziieskJcoZw7npraDWlfOYN+h281UJNOQHiuMnPt XPjLXmtmtZVCJYYmFaSS+PfeIH+sCzO9oUOG8cuJ+HBUfMcKbk9+qdovqukGNXQhHbzkSm+KI0ft I4JXsynKk1xGI5OVZ74X8yozamwJNoP7aYOAH/pPaxt4FMl4c7vW9dEyMXYgUVeuLT76dbf+tsxn VcLOFHs+b6FuoDQDFjv2uCcScQ2fCaaGbhFnQXndqMAgZYWcn7YUg92Y1VluzETDD1U2xKtYzV/1 wiJ3m7ESe/3zPHyah/ZhpoVUbklczsNm0MHtB4zsAlZBBkTpeV+RtEi/eBDm8248e5KgDSziBHjM 6d4ZP/mfEa2yxueBhi/zi0ynjP6EOCvhUZ/fj1WFvf4fSCi84Hk7bqmj+YV923+dVkxOQfEgzZKu UT4k5oQpPXSeDNY8MZWDQF/qbo1EVjM7OOGse73L6IXISDw+lS6yNBeAwJR/sGMilnVutU8jVIg5 59GikDQi0Qg+PswUJIH11HMDIAe0JsGS8LPQuPuIjymTRk3NYvEHMLyyki2HTn2KKKLm6naA8iNb ROdWW2xD9S56Wo195ItkIoR3LvrIzhvEb3RYkmLGdRbpw5sVorPgmgantjExNbwcLc1pFyHMx/5U 3POUPzBo2+kEAGoa/eYJXB2jxcTj3dSSCWvztrqsGbnvcMZRnbV8fWFybapcsvFQvdSRRvBzyXjP hGAK5KoI8oPj44XuCsNP6vVz7UCJN5A+WkI51h4wWmPTMQoT9P1n0s4Xsmv4zrJNeeqrTiMII+uW hk7ZJBh+U/adwT9p63FUFIARDKh9XqBJoXjCllX4s+jdes2gXfIzoJjT+uHXIbm/JuyknHLHU81i HJG18SScIt6RgjUnYxB0j4XAmTMfN92Pc8S75AE67p7Zr1Y5omsmxELOvK2ZxB9t09O4K0s7Rghp v1R9s+Qc/WfzR1FVmHRWm2NsAUg70YfkOxoRwNxgapFEv+w9umac/sdeqGUcs1e7VkiDQLR++O9a 8lLghjYfzNe7tCDaAZ0mZuUwZoIckH9m+L0XQpaR3HPXr04pGcROswRKa3+5R8HV7I27q1cYi+H5 ymB1CB+CvF83tAJ3PvrRcvU6teupeVpaU9FYnW28I7FTcvyKWyUqLNPuE9V0gzkUwBVwbCA+POR5 yfVw/4r6QVQILri5mRpHZvsQvDLgkyo+n/yMPpPe5221XcyZwZOkgfBcX1zxjyu1ejH0vJcJzelM v2Xp/h7L8p+jbEkeGOc7B44AY1uB3jE3sV1r2mdulUF4d0IE2esJWom2I6Pi1dWyjF2cUECh520g LcksM4+bWj9hopxXNYz8YkKICr5/V/Fb4S+CkD/VdH8EdjEgo/chlMj996+vpj0sx6/TR5kAkVgd O7FYXSXE0llT2aUGdWqMxW/D07N0Ek0ADn2Xfw/YTKj3ggl7+aleiFmexE0Z1nQ4909zKTJ8rNsv SOFGWamYO5W9i5go9w6ojVG0QeRJFpuJKeYyQfPMr1b4HH1z97TlL26CRJmwCoxivTErZx8f2kkI 5P6ZyXQOP25wBJKsjmJd/NJGyVv5RwnZoaGHjqpwl92WMlKG5hPLlkDJytaa5ZDIU3Xi5UWnY7iI T7GhM9Y2DJMGI3btAoLt4FR5oz0pcBADoyvC7CUlmZNI58gV7CHGtniRHeBRY+pyek4wqQ169xIj 2l1p4aQscOX5FIMqlYTn5+opBeC8ri7Gvy2CpmhRj1a22ZwBoTVUMePr5tFfuun/2/JwUc3+WSoX /gnlWdr1+XUgT5stLI/SVZiA+pf2kmDyGB4/sslVjvN/zJHqwBznmyBiPluzd5LhE7adrkguXAFG HZmwHOsEsIYfbwq73yZa3sLMKCNzJTEN+1ty6FnkIW25CMFdVMF8MdtQMXIhbCTwD4yQ3i3LJkd1 fZD1hXK16j3Bq1rXRc1jTRyI0xVmR4KEfpPvOIe09wGPELvW+BbCJxX40MnVuOq/qExwBYXXwTyl mdOPe5PqgNgUM98T8W3Qzer2luIk/f1PHCIcEJOfC76tQ1wmPKyqXpUh5pyIWKV2VPjxWmggz9/U M42WGBCIkOO/bCTBBjaC3PVq7eNbtr2Uv0yFEIssKjhnH8LyVrD7m7vdBFa2pEQG65ccV+igO46D R7QGxddCUOLXHsdFVugi/ZyJT0f4Bbj5J0vJ+iSz3/0FPsEcwB9/rusT5k0Jhrc2kluIsVb7hrRx ywvVqK0ccUS9A9yg9kh458rmsv31xjxj1NTy8lmiHq6TLvpG0ls706nwCXRc4i0rlVW5xX5/4Riv zlgdyJc8Mwv7AxAgboOp6soKxRvj/z95CUujX7OmJ3Wmp/+fWHbsSJr0ZLLGNAUQaqAekbFQK55l LMMlkJSGT+RmUKKxF8vvFtt5SCgoqDCZWKQ4RumEf2B7ZehtEvLqBcvjU4KF7GctcW6LXq3Ger6j +WveY+WAQBaeiWO50Ij3wGmTrADz5gNGZFKxkWKeKIfYVX9tpMxZqIb47GitVCj66Pqs16wzeniA GSuQT4YtRHQ+y7jChf322MyaaQnsxp9GbdCkGzRuKZ0sFMlibrvxeOOIXJPvPW8ON918oUGxzJbD QOVvT5AkaLlliJPkyMPQgRqFd3TNcOKDFRPeZ3wBDkM5Fj/DwyKxNjDarJM44llMtBI89JtGQVRo K7+q1H0J56Gy1Is4XsN1271czl09t/4L2xzDn0k26H0LcpjtNn2XpGjVUVNpXQBFEz+brgW02Nui CEaacHXMx3sAzVmSzYMUlKTGqY2a00niweYB8YPjdLhu8JwG1AxbDbEUrHJT8kWwXS5GjbRkP/Up WjS+hI4I9/gLiMkxDkXv3kIvL0U6A2a/LsTaQqHhWT1xXetZNKCCCS6+mcgBsbywuQ0uo5oDCSW6 pd6sxDet5Od5lMdolO521OCXaJI8/qBWXZfy71MYOYVp+zKQD6UOva6W7l1/Amq6NfaqKVq6AdeT R51223U+7faQCQPrbgZcSXUsQhMatBPx96/wj0OwWYhGmY2r5iLx0LtVa3YhjcRn+YNo2syJQBWU w4NXgiQogLCkJzeBG1XM4AHItGGUgy5UH24mJs86YrrJn9nCSXmYEBdIlDKiBJEffyxzbvQ9Ox2f UvIH+2DP/J025ynIpC678GyFB6nuw+FgyuTvXK6bxLjdFJFXR5NCd78tb0qgWgfegnNbPDeugQfS FPngWPwqdHNHH6XqLKB4r83hpwjN1Sp3ZzRGwTrUs9dRRnCJSfbcUhdNTpGYu9/wbrXK+ZiRxpCb ErSB2X7ZtRDQsv6rgZuygKpW5UD3DPA3NtsoWax85Pd0lqPIUyBOZQJXGVQwkCDY+gZRkWqkuYBz T892e7Yjr7TrDkx48sLtheM7dgBsVatvgUb4DE7YT59xhq9/E2+IgJ0Z5SXF6yrfyMWUByErvip6 KD2KyCo1RNhG7JvwmezAnRhGacn1S7GblXaJ03oUzJ5YeIaYSlipBPZgq7Ew6SFuTF3cv11aiijG 5s0bVHJz6w5/lYI3ZJ0arcW067MHlkCJ0VrK5DJlvoTa4woSKuK8d4hOybkkraxi7NZ+aRU85DfM OnXpLgVPHnsVdushF0ctnD/zs2IvZ4NBYz8PMW/jiPxTfXRAhR2XIUtF8NXBEfkedt4OQTzdVs/9 qzutvSvA2RhOfeokdSbq+VTS8+igmLE+m+IqUJP95HT/yBiZfC0O85sB0Nr6GgfmT6gOZsevF5we H9EoeT5rrbaYS6i2Iq+eqDARDJQxBtlUyqadCt/bSwoYzlFz4ba5yyrnVv7hxzQfMrl/WTQlMoCa heTEOavTmBlrgHhy7mrVG8bm8RwMSI4hoE4vKvb2rf/FOKoN1uzuqgrqEX5CcicVPWHSVlQ4j9Zc OYlqmpQqy/wAor0cId0Q9wnN6RHLj4L04c9CGrmJrnGi9DwhlkT9zrzuwX0wQyM9GVBwqATQIjUw Cvlglvbf/LHt2jBAWw/txgiZpVANjydmudJiroJ7wxFnlBpuvaGAV6BIyFzwTgJBVXWz0d9a24Ve mwG2SgpeQfojkv670q1+H9XnFnHSQtXM38Dt+WDnUS02wf8gH0/rSf1F9qlisDri+MTNPGR2RLcJ wq69Fys5QCsULRoq8QGPw35+b9gAWEqKnqtU+iA0uvKCcYkNcG/3LCeZgL5RueQ9Uhm6QhnkBIV5 kgqk3XWCBJT5oTbQrmI8ePwAzbzGvBowzCwAp/bUXTkL4GuLki8wUGttHL50R5vioJ8SwtfPJQrL TptEydySemmpM3i9R1Bj/ArNQ6+O0HAkL6Q8r8iYK4rGqu7QKygkv/zVYCszG/81+nuvWZwxnmM5 tWVbYmr+4q5Xeja9/n2zb+LBQyNp1FyKTYO7CKzRtChhAZpKp7AhtVgHKKWc0LK9Zy20qD7Ohqhz YxOMxGLJPUzASbjJfFK/zQzqprtKZEJsIBQdZSGXHrUNJHqeR1DqFO1iWQ6XSBoi74Mrnc2VnY+7 /JpqGlP6LMswwDuLbi5dRP39PEZWHa2F85xH33BtHFlotpWNQU12eH2adqO7GkzzLixjwlV5ptkv hbPrbz8r0I+lQlJDEW59SC7HEVkDQqaCixBj0DsSf5d13/g9Rfg1nkDklkHmE8LE1UBPDHd/AdPI gw83FtfWaihGEopdiGWbQKqEkQEZ8yPPMPmICwCUPgyJeqRKUCZ1ZMQvN42LCmmmcp2zupfLCg/w S98kCpN7vEmQXam1cFjAfjwImIuKvVKFTgpskWFTag8hx1pJ/AKB2b6pprSlDM6A32CI3eZBzFOM SNct2ATAIY+xITjyf1hVf50EPCDHDv6/SOSU3htojhubcZvXxhsbYlQ/M5AE3Z/PuiWHFt1mhh1m wYu+Nm2AvlACpRqiLV9g6TUCienet9Fp6cGsorp8iZNIvU+X4JhjSRKmwApQ/IENtPBUedHN8ijK S+kQdodqDDC9VA0zbcYgMUdY9cw5+p51uKH/Ol7X/eMcqANiLjmBZAmBh8p7TrsGbSHjUqabuzND Q4faYwhSvKxTwOvXTbAX42ltNWTU/pGy0OzzOs1nSmYfvBWxkwHagofmnTSIL9VednEdyQG1p0IG TPNUL7Vlg/+BH6yWztuVOy250FtA6bSoTnFntPHn6XLjn3vIxxNeHHsxU/L4ZfofEFBnnHjI9+K7 6yYdlyERCxLk+E6wHzT+ev+IfWnFnZzu+wZGwuUrKyN8c94wJ28muh9AhOHc35h/Pn7ym/TgWi0A hxnNLcMxlsaFqvtNFZpiSzD7RPutFgpvI7YZzd9zvfGc56mLWwzhgGGEDuqDMVlD7zunRnehLIW9 9QTEWQKa2POOAj7TK3Xvh8tsRTsx6L307SSTu7Y1zYoS3wgf65GM49l2ffzX+n1vvgQmnhRaSSTO 44i/azAHTJfzfoSIe4ojtnjjmkzHmJzYBaJQBSS/ZqxON8gIOV20HHUatN2C+sYS7lWGR6JgWU05 rYMwuBi8bvFyg2f2EHyXMGQtWHMhYxMdVVH/+t6qOIhsci1LwV0njAlxFhluEOQrSztyIIzfiIo2 SyuRrKpRp5qPD3XrRI+5pFvjhN7XuWUltIlp83XSWkjylY2k1LhkL6uEnoN8P40P8YDpST/mTN3/ XNoWEovu4jDwuWOmLv0CwAW039CibPo2y+zAu4yjAIsL2MonoafTTqvumj6bof2wK2Zbd2WeETgU uqrvR94S86ieopqWn9aQ96akgHxCOi9sv1FC89L6JDZa2IumgLoIgoBriNCWfftTMzchOXvR8BBn FBFgI4FSGfCWnlhIfZtiirgNEJz4np26GvWSYo+BZBKLSGtnaJNLNEUhN4REsLSU+mw4Hnx83swi enrD7KAuyHbQE+e45VUWcQZ3/KGbuMiV+Po61pKcw/uwNVMkjn1SYEj8IrMrnyE4lDQ1TGbvp+If HDZbhFJ7ElgpokfzVHxfY4IPNi8VNnpRqMu6z+qB6QKFWmauhUKY0HjiATwSti01lg13gWzQwAwb Dp7uTJMo4GUw8fSspLdTZNlLgff8GZTFcZZu/QBoMNEewN71Ka365zG7ASEkd5wCUJIY57qqImu4 FQz3YyrVskPFUwiR5lQqpkHxDE/ATTspvq/z3oMuX0jROU13MBGF0U2L3tiQLmrNR4fjY+7tZpGN JlqQv2Z3MuY3TwD/tht2rm/zaQrLwlNVB9ccLsGxeUlZ+ytEaO3sNtcNvsf6HlvBGty6b2d2+4Hy uhPoiD4X8W08Prac/1pQoa/nnYElN86ERahjTdPK64LrzAah1suXN10QQ10R+KGfkRONNnELqaaA lwy1MmeTED+W0+7yYhWtU1MfFSJvwqKUpbVQgQC7juocd8DRM1FQRXtXETgRBOOF5st86arqBxt7 UlaLQrxg++Cbr7MkSWtfuZ37DjgEh4fadzt95QHsumxGmxI0AH2RikPBjDoYXuyjOUhEandGKdnu kssiPGPpks/LrNv9y0ng2q8Dokp8QhKlogFy3L9ud5nw3/Io65SUKbrTH9hEYed09pdpmDcU2Wvk 8ivapUsysrqfppW8mfdOyKWCwLQvxf5ukdSLJgvbSwB45d8rG5rZg8ylfwIdbq7N9ubXqibjYWwb 5g+tiOeV3mk1jRhYW/8swTb2op+oLJqOne5E1pQQWl8hJjdzToS9idH4BVOipuVnuHes8646iple M72xnVGA+BiYg869nAAP5AGjIUfIausl4QZ44NxIH3OTBbdMfUvSQuWVV4Ny9WtKuKTS3CKjuGMU CoaRywTKubDU4nMg9Jn4l4B1WWV0jDvfrJ2he8q00PuDLvXP9fxtHyEAOU9eU7YACljpdaVugpXZ adjurdmDDZ5RmCyWVkbyvmz4ARKk6moS0qPTXZZEkC2evhVBFAgNYGNRTHnrtcw1aiPbv+fE4dOb LDicqQJCoTvF6aqNpp0njiuFj2OHdnVi3cjYp67O6UrWxStZCpwtQYpqB4Q+KkIbeE0MAP11r+cm WNOWLdf0QHRWz+/mTzURWjbAK61uoiMhIfbFV8QAur6nUDPfV7MCH1ppyA9VcZO3cRsOSrJqjQrt xEgFtAJHnHe+HOozLJelNOEhHVZSs8R0Q/LtJWIeBszt6MNQP7vyQYyZ7t/GWQGEA79O6eH+YrsZ EzPcHvKP6mmwAdhcS4phHWCZa+uPxhQ02TTaQ4qurmKrdQ8x3p8UoTwiVco93EMcxu8PrqrDB1Wz 8RStWL9NplVMlhWYD9RjZiavVbR/Mej0lBmG1pBWvkpp+ldFM2KAlLvHsWfzK/hhkFMtblHTVtO8 pRinXWHCeBQcu2TCIkRU9nSzQ0m4kmTsdgUOfhRcrhtZJ1N0Po+KpGcuSeE7G/7yk9lBbDXUxm+b 5IMTsHw5MCB1RQd5rMT7DaSf6Lx9R6uffzjyKZw8KE1zjFAc5+SurZyn5LO7rfN0tPALgRYheRLa fg5lxRxenov4ZBu/1FtlSq+lRRWd1q9hOTy2unREvqBBiVFvioZ1NXj8//r1DkcP4hCxF8h73Dq3 vecaryh3jXPiLXNVp8X3hdyyXY8NV13ydtFnGawGn4QtaXgEkj/0LNFaTttxLrhagvs7nXRxC8jE 1PIqhv6c/px2k4rxry/mqIA5fUkjEL38+N9m0WdDMyxEKWznT1AaL7uoP9zx4CYiy4EHa9CffcdU jRWeDyiueQp7c25ufDFQjVG2fh9tc8/Moomx9Tapt3a92beIEknU+a1ut5Sb0JOifw6VU5O83xVY 6KEGhyasP7JBtDvyAl/rRzPybuvbD12LU6KPzTY8Xp+I1DoPImhHgZVcfBcpWTCVfvWpi5q5kN2k 6kPd1a9+WKfQjhOPzJtpdmDDIvPkVqQtCOG/TnSaqQv0p7Jj4Y/clbVzPJ4dFm/zv+o0ENWTWLJa KArs340AWPuUBZ/zSkg66GCYrKXnlv4fsbUImWwlvMGuMyXh8X2iwenD0BkhBbtrYoeaEXZ2BsG8 9GN+BzmYS76KrVcZE+uVdgjka2TV5tv2n0N496Vy6F4wPyGX5JwaXfjcERXUuwBlzevjtwRjQ6t4 H3An1pTLbBVQejCMQdYmaPN1OwlcLMXcPB9jfHlFMdbt7ly5KOD0zzWYvZqhgU+RkHkEzYkb9Dyc NJfohd+wuLGeOgfL33tNhG+ImGwYMMJDEYvepCV/uX6Y/SkPnQ/FVwY1/zhPLGim3wipNUbEarln qS8B2/8XQSKpkGU869SUZIOlflYEdjuV9pcU3RTmj8OEUzhhQpK6hmWaAn3rE3IBsujB4JdV/QCW FUFtKxXXkLuI9QuyLaDFe82HkKhd81FYGrDEfofrRY3HuXAl7s8myDlgvJ2mfImXz7vNfxeI6QR+ qwUdDel0gpyF8NUzXPvpakX4FR3jPMKvfnq/y50lOBhmmCrjcc9DwCnEojVqvMaQMQCRLVKOdZLc hB9IYMuXyMCC4wAP+O1NlJm40IF2Q/eFAH4ISSFeYKiymJ9bXTqyYYuxYHotcg1V904MRBSqfonc wUoBhr3SD3a+sA7NqHjnO22ERLvuPEbXv76uwZwfFWKw3+UeYE3Bj1JdfYb4TJ/Ci08zcab7qN3f S1kRMMu1vPi8FJ/2rdTAUcm3iayqeVWxqP707T0siq7a8L48Efph+eWAwC9jalslO7Xc9y0yUdlS DJB7m1As2QlwDgBIj3t8+TOSVRwtFsn/iTvIWqw6UlOcjWW5IKaqqMCiw8k/v4+INeoOMXS381S5 sbzeZNaimt/zQhaGi56v4pHff/CV4DE19gh07wJco4EI+gUWjZQpxKdVKzbhsO6h131JE/3uqeZn Qza7Y1y9//6w0LAcn7SQmGCq7IHq5xAAqJfTeBvVea62ZLuDTIKApZmlAy5hMNf3J4H/mVUiDzx7 PrZL6DzxRsVxdSgRk6mxrSX1FcGTf/dV4h6kb1i2lDZjlF2POE95KwAGzhtzJbHEMukgh1xX1vmS 5iQqc9mSgi/eJN4w8ag+SOO8v6oRLoJ7+r5cOSfdDOS/QLRAcS4uLf4HeHtU3aMKmaQnq0Hf5auh FJVSFGAOwbR6o7TVMiEysd6CCcRMllj/PMk9NvWagmi9BcfdcHMg7P+RpK1J9BIsCBPTCnhb13iB IzaISlhK1sLO0UtUCVzGAd9hqQiSiNWRdUfaIKFuSid37BpqtlQYlhqCI+bvvfi/Yas5x8H+U9wq x5e4Nk1qy6IvICfasV4Uh2rr8fmR6aDxSBQ5R9Y3A8d3exWFzk1tKQRA4LWLQmxA6h5by/tMfe2F 1MtrSvvljcomHvPKzXJp99S1woduX2+0N/wOQwlx8K33KQeRyiX3ybBaWZk1M+HckN8RuxQ2oxH0 nAWe+mPgH71p/lKxzNTUplC/6q6V6pi5SqkyTsV9NY11WX/odnghUUJAm8iRcJAVUphhf81zRTF2 lek7QGRgFF4PpER5NF8kPM8K09zvyWdmP4s/sDN6ocYhWHfwuytAvOau9BY4r/4NhV435j6yd388 824cAn2ui4xVZk3MKNVQpYKLGLOn6uMxKE9L1tmsKvXKdpDnOUoG+yvMfQdmN7TY3n6wGxPH788K qPv8P15cu2IKcDfndZ6DLXZrrpzmCgIK2Ezj2+rW1QbzTX/VynO64CRUipVcd4v6fwsMbW+yaaXS jIFKk2OlGOoXDKV/dZwOZczEmHJLmyu34g5by0jF7Q378s6/6eRG2qIsB8HOfXRjGO/ThP70QiQI BHgol+ajsndLBTov7tnbjDabRmpuMi0u48Tv5bUrkeapM33zj19eFhZZvNAIVhN6Aijl0QVPyGrE ghDy6WCvSvgUy/myLVZD/TbfNdMQoMcN2tdUGEsCwSi0uZgqTXQ0iSBccMJupIBx9NgFojVj3gt2 NC1r/EILi96KCNFORWEOISQPioUkQ+7l6BVM5oyzzWSrDV47CU1aAEpGsRTohZiHTzDuvNXRkwNH qthVH/XJ8yZCF59/IrCWD1gIxjfVp3knQQCBPEz3wWel0rxeK+FFwgodnr2YIR4NvL7R2hoF5XJh A2yWGXILsYe1nB3LDfuk8W9/j2S8OMqqBeIfMq4ZbPmtmNhW5eZqnQUzLKTgnGGJmusoAKruoB8R utb/s7ek5kW9L0zhyOTp0iMXzDC9ySPBtdIZSRCIOHoYsZTF79wLwrUTIyksA0QxCM1ZqSFGIKci nE4JOX+NGyk9znmgo32uOZ1Cl80ZHFul8oY7TIF46g7312i8sMsH9Z0w2ZNlu4FI/WqG6vZ7YTvk ssXlIB+Ley8JUocCIUv8tYSucV4k465tfyIgHNVIF1hCuz1JsG57ZoANxuGGaMoWsMYO3eBh0Cmq qGqBfW7DZ4LNzEGSXoNYoZ6lNPvdEd0xsG2hEyYnuII6rMQXUd1GmvYNwJYGcx0/IR+E4Ur+jxYt 3z+w+eEBe1lMvJ18GK60Xx2vNVdjxwup7usERE4qx2pnrMNs+fDFJxcCWYzwxkFfbeBtqWTkGdta okf0egi51xCZIZPBw/UQIG0hv0ZV3Y84QfhbxtBeoAcMwiqR19FPU+yEOs78j/muBrAfDyfxG9Xz a43csnzFAAILWw+kb1aTx8y84GXaC4+GH33vc4J93AysutZNrfei6M0RtMQYekcp/OPWubXKGvQQ T8EPfURLpkjjuK3SJ2Gs926dioLZP6Xh0TfttoPRiVkRBJQkDcdMQZB6APGZaFmls39wwa+G47EA FbSiIvA1U7TwcwoUnviqkFqXc8XyejDJBamGHZtFOoVz/k/Ql+wBz4CptVN/ZZLNL08D0RmTDTO4 9vttWPbDKSO8MG0HWrOpeFRykQ9w6V1Kadec2OUArLiVP8QsA3bNgYKq+sYmO+Hu+awbkU9ga6HP qXp7COtzsc9ijqPfSp6YM7/INmXkOQUFT5cx7NX+gnAr58CKTWPfFCRBmLxwh8lA9ZEL0cVocfGr FdN4g4ei401WsSR5/15xLdZh79LI0UcQwdrwVSqlCNSHI1V5YeQYrSypRImsa5s2KCD6P2YK7/sI ZhF1kLrtDQxO0p//wKJlmiOaduJZXAjYDNPPHfZq1L8qadrGEiFT+LkgI44KDFaSsv3rCXB4kbcN SE3RfXFi18hDPuOm8Sr/R6rGnVr7LYMADwTL7F5KZIEi7ZcQ9v1dbHj3fQhhmAd3ipnQrZFpVqbv FgqUXx4ueoQYqEg67Tp4Clydk8PbxEBoYOtM3pRcjPxtSQCInLDk1XcR/v4cw2y53dGOkxadSLnF tLoK0MRfDZgIpr+eZFMY/yKygr7fSOAjHFkaiuAgmwA/8Q1LnBFhkJIjK1e4Sx7w8fSQg3dMCxir t/d5ZC0QH3+1MrrSwsCBSKuNIftwbUx6bRPCzBKHncSbBr8/jAUTvK9KC1CNzp0jMt/yfBOHXcGa FBPpP7ykJtvYrGtSSOObaOLw+pCkVLfK+31fBt/uJvfbtp+DHc9yfhfFkcNNazx7t+5Dbm4+MQ1z G3xoFJcdH+kINzvXtKwv3KqYL+StKSdyLahvhf9KHlKFHmlyNCRkE8RCcVwE9DJCezSCVQBVF2/k NVIb8WkINPpVIfYD8vLup0UuEYHGKDOVzZdS1hJGHJfL6TaT9KR+BXD5vg35WwucAlw0Ubws2ZxS Mqb8cLefvyGwKq3IjiaLKnTyugaXJrDMejmiRgLwirwzrL9iGIrPZK4WAjVtNKh0DsVY5dzVvFkb tRzyJUSgZaG/UHbX68wG1g9RhFUWgCJbLxiphAkIwAqzkBv3ayv8LaYcl/KACw6hu3xx1hRGImQT fQEgRG1oEreqAl/3tQF6njGxmt4xylR6Tm8hpqQ5f3Rv2VodTDfVmIk5SGt/yIwZoR2PLl7zTpwX oBHnSYFfwKliBdx23GAdN7g86SIBfN6qLBpSBRyzDNh4+fgBm6NWYM46KWH6xqcm1mP5WM9/5ziU TYTn7DdzJ1fbBldQsCqVg0d7a09mp+tHYVqUSrDajnxEWCY1OdVCcesbZVCr0i79UC8go/n/C8uv kB9yllqyt6ko5BNQ0X7VAUjeZNtI39lnRZUm3B9h7NUDnwaFK4PIexZNCe09ASVbFXXQgrHIeed8 1juAqE1L3jgQp5Xv6+3UO7j99ZNdrfcefTsygkD3hIccfhscay4JK1L7+kYDHuUa3L5FPOHdskNo xL1x8rXA+/Fd4pS4AWQKIJrUnrpsNCnI8aVCsAssh3lMbeWEpSgxBd+KXRKmFKvTvfSCc64hKz0p D1RnhULhGfhPBqAJQEpcAAKzCoEvyB8fry9opONqW1h/QFJnMksBFxpZ2j7nN79I7d9msdrX4blO KJ2ZOU881DHY7Gy5YBy+KW6UZ/SlLPjboPZD0LiOC4FEMrQmBcbben1If0680xbYadjEWSiUXTNL quslak7oXtADMViipijMH2Zg9QoDf7tQ3D4iAqO8PHptF9ZyFuKeUlgI1QelE3wcBY3puvdVrvx9 YxwT3dLDMuOVaoG14gtZrd7MOcO8kYWwCBqYokYB2Q3uY3i02SJij/dRBaa+KOiLEQBFhLARo2Rw 0D3hMN6H4et00nZsHaSb2rij9S88jwqVjcnLzvmADau61+xQTKY4B86LZ+EPeJKaP0zLL6PiepSp cd5esjmoqxaywSHFedkOKlOSmIm7EsqPCuJAfN61Ss477JWp+vM9ceBpUdwC8Ay7U4VJEoe106sW gCfGEdk2x9AjN6PVoGBN2cLNmOb6q5cAtaCps0++LnLs1zDVq2SR8D0VuAvWbVznrbZHu+eX3OAq kEs3hgZFTmv30GG9sSvSmngV5NzYlon40ob/K+EOtv4CLhKv8gzlNt85m1jSLKuVLDd81EuHnJFb 77XIlc1r7ig2gafqavuM8AJNFiAgS3ePVT8awrJsvY4vdQq0cN43Xu49IRpwEknEkG5t648Iv2Pz mwlqkcgos8bZZBg3xjkA/XBgpan3vzFwrw/VCVms/yC8SbY31xXMo2849KPdgCvU+/4QMGmwgn88 yYQAzGDYOaB8I8x1vNh8RkmCC7SCJjAHJJJZPepONK5XQ6YgJXC5X37IHiUQY36FMUUEoPGQc3Zh jtJaUq6mHGLlk7HILPZ2uemMkNsfZoMBdBVxDLYoBukhQGPgy1wTuaxOm+qd1zGgzG0eoIHhUOw6 GVauD7kjiE7bI9nqPfSKvxaUgGaB/B2UCclnFhb19sg+F+sJVGqKQh2hzSUFYWwd6TQSKJ8g1mxe StTSD4cGNTkLs1qO525udCpNqZEZ5SogBUaxv8v9A3Rd+a8h850FA6feMr5RCOxXx/MFE9Q1azvr Pv9l0i5dcAq8WoTu9gLmLgi+V3gZDptRjGH1BXEpaVu4ak4GRhCCye7tMdpYJewLZftBNbKgMuNI Hm7iKu2vgwPUz4xHQDGRlYhc/tzXdHgLeJkEJ2SOUERSUbPppfXCyzI09VvBXr+4M5pbM9ursYoV l/vmnoHHd5qV3fdJpW2lalIqb31tOd7SFDRC5lD5GOxTH7qhQ2zLY7KL+162hsarf5qakZ3rS+Op f4blcfyNMiYbpBGvz0ZA5XC/GoIoUVTgp+IjwfE8E+zIQFnbE6ZrcunoV46vx/OMKuxv9sH7dUaX JXlSNbum03QOex3Bom9G3Ns6hc3JubEfNtoFhwDfqIm/G5OH6qN+y4RxqyXrrOxKmTBabvvoxOF/ TrPPj03nu3paHX2rOkq1/V7sphcPlD8IZPuEJd0jW6jyOPO0+VkhTNCeG1f42yRgoytASuycZo4g Ivx+R10UXj1xGXWTBE2+sRFjvIQb7LLHGzbFFP4S1fgejyVltstajisHjPvpo6uTxBEdXtLBdt6Q ECgGbWxgWDc4laPSjosSw/xAqeSUY31VZ/MdypD8Z/uNoWf8oIo8f8PRRRDE1B/UcHJ3gy4WN5f3 0pCYdKEABq2+Zg0HUp8gLw+i6Qa1UZy9onwsmljyVrmJ6ZDw5Tyg9JaGf89hg89+Nd/FJSq5oixR e+uN7l0VF9ie6mhqKT6gBnY5f7BOlCwuHJ6f5M1ke4DM2RSx1nwz2WjwRXrgTSfySAn9kNZvQXQK pUfmR8U4qxrATjH3+rnjj1XmOxZyWhEg6w5mR0tiYDwLeY3UCLI9lTDK3YOUAfuAdu9OTUyn/eq3 Q042hl6d5LrBV6clbUs6jssO2pfeMfKZ1KaqsZixBsyZuWTPXVHq3osw7PPvR1+uPaFz/IIlb0iM KcbrFq/b+oVAXv2OdLyzaHtEf1yvEsi/MBQs8OHbOMf9HNvQnECdK2B2UbsTzKwAQNGT8Oq2LGPf 5CyZbWPBY/ZwTJF8Mpvq5NJYAh0URmfyN2n4LERQKu+12E6+WqqZzk+x0sYUy+J7GRnF+LdiExp0 NEW3/yDjGfjoHRXoelRD90BgmLOnKu43PSzyPSIB8OZRw/LacMqtosqJjt/OIWNhyBooiAPymSQk uLvyX4MGTOV0j5s6X+HCW63cOPfvQs9fikZeHMexADdSRPCTfTXdDwdoT06F2Cv4TCB3gyYspBUY PnXfv77uHDmG5s3WFqkGPH2JZ9HJxqJwRTKoH3wz2oKYv84OqbpWkhJ/1qNHb2HOJ0nQMI5jin+u 4/jijMZgsFizLvHRT9C9P+p1/MOaXt88RZWjkPZlJBSAL3u/jR9hHHhjyRzZSk4YH6FoGZx7Rlqq IpNsrD5sGHoDgoAub/bAvJC6yolBzp+15HGalp8AQQrNWCfyye5czaJJxPkyyi7v2m1bveLzOH5+ ortyxjvxl0yxd44ClKMJFpF4y0lC3gT4fJkTyshZb96CGGP2Lb2hCK8OEmwIyKMjUAPkK1jzD+G1 7wT12KMe6UNeFqV0KMu1qZ7QDGieV9CupLgUhB1F4XSgGWPADqnbZTviTXBWkCJECIo9WvhoB2Kl Ihnp0beHh1+Or3hVEjPIgR2tT7LXi6SmYwco1eOVb6QyWbol/CxARmNhFlVLZ+h/sgQfCegpHUoa qGUHMU+8yNEUcoAqUS1/5M0YS/s9fZMCf8tujvwLV+q1vy8BVlOgRm+FAQIzx0rW9XHLtplhjKMB xQ0Ia63xO5PjEjM3H+yNc3BkMl8vKvyfMf4Fg9N/jbmC+gI/LQ5HgZt0WeNwfHxu/tHuLEBaa9cE RPA0jCqwDqL1sOWNGUGXq7xfKokSOZutPRHvlUjfrlcs85ErSVdXcmF6aTX+kqIA2CmMIkBLlpP/ n7piMik0J0XSXRKgbLDK1eq1nG0F/MDf61jSw1JexW6SnxdAPuWPtJXACErQtuQmTh1G8hM5ZwnB YKomyhxiuM6rm7HbTjQKhCUcx6HrJvkqd5ROsS6zzUqXDUw9MAsOF3b7uegplBYnNoc4Gnc/6eHv 9B+5vJjYDv5UHCCEc7ks3n45x0aVly7SC7nS8se3ASTVk+wdzp9sBRSSd2lxBQxrfC3mZggQrYK3 CmdzcwcYWKTPCf/h5UrQ2kTcJTkcZu/kjP7Jn0FuL0TZOlvLgD2SbjLJkteKxJ7Ln2ioG0q77OAQ QpRb8MOxV6ua8sZ+fEUnaiGKvdaEEEFuOrtNaaDbvt6KLaIBut+fcYAAzB4JWFa/I05r90YVzFxT M93DUzxo4X0v7LAdT6/51SVPtDfXza41RTENpnRxZHBGW5FtMOIFLRD87PYZfmRDZePcy1sAF5+w G0/93uCC+xF4feLS4TF+ncHFpmXMNcXo/cVVNvbt6YmjAaLahVxxONEJUGeuNUx1m8rtai9rUNup VXWa2E40x3AE91WH4wheiCbBE3IfYDOeklB8ve+aJ8xSkpiktSDCPIYVQ/X1j1QPO97brcT5fXa2 HjAERHU6KTCdaKpnhys6IVr0wN273V8QotOoP/lylpr75zE/ITheAfduxUYeal5tiYeR4tmaMt9q YvhfQshWIP65mhMruVXln4s9afAgEAeA8MqhSxdQYyJYTfbApQa2WohsvTMzEUvfbZE4grFaxgK9 lEizSjsIu7qj9PfMPybiE53I/tZD/eEc+7ZTwXB0Ai4FKZiVq2AJTkN5uAm2dy4VneBbJUmmLGQg C4rf+l2Hv/6DWUKRwcXvlnMPawaA+WcsMwyPKx3lI0L7U8MD531ufhSQQVJaR88Av1QQZ6oP6SCS X8Gm9qcBNCVsJrKbZzfHSz/2LDlyd1MJs2I3VLu22ZLuVfqCKMPXWOb/SMSeoUsD9Or8Uo6okLUc qmPuyNwIydDTCLphtS95K0FzYVe9vmg4paXJHUipd8caR7kOtfs7vgoPlp0YOznOMDoBkUQ6/iji GAobB9HlDSQGqOYSKRQzw5ygcp2Jh/oLtnuLuPsyQgs2XwBiq28POsTQCYbpiEZkHMs75QQ69Sbm OHuAq+n3UonezXycS3VRnNDK/dv9EV//VnLQzXyTyNB9B/h84dTY1nJwrz4QJtQU0o2IHRs6xi52 njhEGrFufsnqPHWDRPNdxlgRnhNpuutJDkIf2iYJQbcHq0XC/mbXXxNcfybh3SPO4dgWtibER/G2 AgT7aP8v6MyH46QQY+4FbcZndadkxHolGr4aHrsxP7vwhgg9IiXPPEctxHooRG/YkhH77Bcqrx7H 9lPGlti6Pn/pULaBcmsT3ZKSBm6A9pxbtOCIn8x9RAoi8AuZ7WyIBMV/SCj04zd9x42JYt5xlYhG BvwgPYLXDxxpmVL6tY0UqZOPWHPUO/NfdQnddqZX1CMG+TAAfp5EIBKIIrXBEku5r/8mN2GAQMH4 DgR+vMx6U5HpGg1I+w23HCLSenUP42OD3QSWLMq2ms0aimL8T98eKCQVUQPySafFfCk6xnh00Y+E K4zrBk+kkQ8ZscdAPTNRq0rAIbw3HhtAu6XQF3wEvlAovi7Xe3Z0y3VfZPiq4rHiyfaFsnuu+w9E 33cDxNj1wM8OKjunv+Ot3scTATWpUlvuHRlDVyVtNZE6cR96mDk3VvzkZ0UYIS/9nwX6Gaci50+4 jMnlxXs/u8MuExAlllDQaKtXqMcbu7jFoAXEbOYR/gSH7TH9avtEX4iRyZXjtQii0U0A9nSuLQUP XqC2JGJgjWFTqUZOHLLixIgBXf2fq4t7+sMGcJsNd3hJG+Hy6RA9GYYAkVXxl+ROgw6H2eRB/tfD fc7vrfrIMRfeAIoZbLuDUQcGqlIYokfTggYNTq3pVOtFnbgF48QTSzq+NruQeqO36y6WYfE3CBIK TwP/uYT6cHWXsTYCcwDATfWVhaWqvAR3vy4r36+2gzE4VnjJwY5+05/o3xPNHiNNuU7LAC2CZN7W OBPjy5kTqR7l05Oy8gFS6jfipZdfaVVFvAw/a+88mxNLJJVmhzoAdzMzDyIkUbC4HBpx1qm0xnfV xvjehMXDQ1EO0aDaa6i7qRHA4LAy5A+/J1649JovZDur6AKnLeQ/74cMrJwW5PNVjQyZ8dBCwa/z bFhL7Mdq0S3mM193FRNorMkJlxvi6+QxAwtsECrHanRSmvX48S6223WleuMgNqTtmnLY+pgOlv1Y AEHiUUtdFNtVEIJclhwH+iFNcF3nKWT5FrzqVuczacmOIWMCkT5WYbQ3oFtvRJwEIczIcdefY4JP LMMHZTV9Tz5ZNu0JniyTqtHgo081Cubu3inC2PGJ9Pcstj4MT/g5gkcO/GJSoaH907NJi40yufpp WESOSBukS2GbRb998eo+gMTmgvCAXbF6CY6BIiI2p92Q+yC7fUGJ8a2wdcvqyKxMI/P3VXKVHmPH W4GIizNMr4T/lmF2KhEWysPQJJ/pfRZMR5MEGn3oOe/jzmNjtOq2aSDh0k0U7Njvl9P108rLOqcz jByAUb86DkZhjF3nDLgyly8zo76dAxxVGPAMDycNtaM1A84gYI1+1raeLgCxStcVql2zXLBV4Fbn NWaPcx/Nf9zif0WeFXoKzcmF/d3Ngiz3iiEYOtp+SVXfQ/opMSQcNV4kN5XxF2UJI7HSnhb3HWW+ bkQK1Bgjoq/Mf9vlbsalKnMoLOhVtSWCZnrcHrGvVMbgoG5I/djiygSX6WUJT5+7IiCmbsaEI+us qYDJlg1C6SEHWFIS1sop6MOyxHfx2cQT1cZCaBwRzE7RZNSEee/BeRupBcs/xefhw0OQM1S5RYGE ZPh0wGJW7o0b6t1bhldm7RTQioWHjEOgiR22v2rlj33r33cZ8IyYx1uLcbZHpShpREi5/O1ZPS0H eoUvvr82rXyaHGlWutkmcf1g/JI4oYsCbTJdU6QfeEY/QYGQMAvyiia0NmxGKvHwuBiepcDAuqdB tUBGJH4oWJKS/3gmegdhcwHGIQgvmbF7l2wmEyTtJNfBc+gM3SvCnNiMnwfdv/g0EnLOdBIBdw9p 9MQArq5AiIKnxCI1HRL4ZEz6KGGJC56amDiWBz0rgNYPJedmP+n3p1WISjwVBPXfYY4gc96AHg7F FEwq/xRsrTPfUnwMQbXfE5uyOFh0bJqL/itjfahdX4894wkv6PBXWHtvB2DuY1Sjd0gZqwtR0kJP 2DaPFk7rJ0rEUE9TTET/64Su5y1VVJAju3ntwwQCeP0CK2Fc6bb5LynNwSA4A+wcKuaZEsXf90BJ cwahXOtQ7mK88cyM4/gHzEO6OjRs0svNNipvSpKNJ1Q4zsy5Lf9ypGBZfV1i+Bfqr50aYrjeyfUs 1gNxdTzmkMOCE9/eTTrup6eArCvdLWVl3KGrhDnwBdJuGYC2jsy2pPESFqJdjYu0jEvegcvBAsWL IZM3CgyF7pANR1hdQjBCVl/ICjNS+cbKW9OLvxeLdHLx686u85hCvzy/AB/Jabl9lAbVMJH5JdIT wazf6UVpkcr7Qtr2zHL3tLU+tqvyGKIduQ0OEMRwyRWHI4hYImnzBdkKTuqJz2ClqLz904zql+TJ Gfhq19zaa2XtvRQgD8wUtvtVcv55wsVtZ0TEJ3DCak7GVKR0409HS/0hRlNwPiUaCGd1WlSyr8Jd 9C40UfPf597kUhoBm7b+nOKD9bj76PiQjGTMkIF7qwVuQx7rbV6z4lbMD5IEhEXPD1dnKdpN4ula 8KowdQlri3ZiLFdWO3HGoNuTy/A0QQGtfAGbk7smxlokEoe76CggEY1SwXrjSMHMg3ou3m4ERNF0 wxOCB9G5YNSc9Uz8JsH3TdlU5g5Ed2pEFExiz0XifPoPQjjEwL4V9Em9GPq2lJV5n2dyTYM7nAcN dkJLSxeau6+/ZKYpjS25Fya2Vye6pkLpFzryZZy080Xzg0yK1QfH2ViLfkWTOr5su6BABS040GBN qDXo+KlbPqqjaHGxqRjOQWpwbrPvifDQYr0+E/tATB3akXt/G3D+3KdcIrRJVpBH+Uf4oSLiMufo psrCbnAcrS0l11VuBXB9wtgx75VkbhThoj/KQUFQdkC1smTPdiq22jwFBAEGqEmj/geUW0D7IVTS +LulQvH6nQsP1PWU/JoW33GI+Fmr6kAg4obbGyLipWVDeYDdUsCkg8kQBHNdC3iN5iAmKwLfBdLu eo8TmrR6aPjybcAEIHaP3OcenF2BY0364GcnLDxkUBtN4fmcr/oN4YLT/vKroiYO2GTIaWUVnCgc 158AHk1m6EuRUFLcSN2rMudVFNF8F2ASkBVLdV6bgzARPD+VBAR6myZSXL3Zrio7VGDUpMnU57Z1 Muz25GMt7ymU2pF63rlRHccDerwliVWOt6csvjpGYpwz8it0EpVlyDdxUzpRcBl2wgQ/3NNWVKQw 1KNhwo4cYfw1KOOkzR1WeaI1oxbK2ktfihhbX01enekkgHgPz00zgeb2viND/6euzS8QDQiZJBTG W/5FjNt75YyXbGkBLupAheHGz41Arob5VDefOjQl8syCf3BG+ZyeH02dSL7WAuH59l2sfkMmZcsZ /80WR3Ken58mr6Q1Fz3g7sOmdqLBdbpmlP5/O8zKnWA+qtsELVCS1kL/elkbMQwAeQ41CEdfwD4w wZsW5Afpf/OjcRSw/ohA1urLzYyDLa9Sp3ERhp3Ff7zN44/yLIchM2hQaIbsO3EbJUn1Rb4nmcKM phCyAwE28pMx2GoK3rvgY33kPH4Po67IPAIpiFkh3lScpkl/rLKqP8aM3QfVi1UeOKici10mlA4o z4rggeirklozI2L7klriREnoGsH/2BacJNK3Qo5DAUaeW882e81920Z82y8dQRPwt7gowCGPNbPW zVujDj6iYAmLTUWUA0mMzcSlDussWToGMe8t5uLvwsYVufR7+vbN/2gszD5dJwmGS69t0xk5GL6J C2+LBY05mX6FHBUoRTKCY+DW7aZOixs5pE8I6r9CISCKln+zYkIo3XgmjqK4MF6Rr4I8erAnYKAR Uac1puj9OjepXDC0z9odmvmUmTi9Ki9iARps4oK6f8BeYqH3YWYr+ipB4/zGOkors5WRXm1oFieg 2Mwy0VluW2caUzvvK+UvLTAuPWi9VR6RDl6f9m8LfuXnaT2wfT11dVkHhQ3WceIDUnBt8i39hEeE QlF06Q07n5bhuNH4LMqG0wuD9ouKJCT6jmNBN4Ih+Mjs1YWH5FkjoZUWLrNPMgCna2VP+x4CP+L2 KYsVB3XWcBzlc/N4yf3wUMkqpnx7/bJ1Hi9oR4sy5Vl6I3dnkpgmStmBvFv/bPNvmiQhBhngQA83 DEflwTzwiquzLSFA/1aREu7c/3Y5hKXdlM5Na0nghr5rLuQyhyerJvFi8ZMW9TIEM0S7UbuRyOLR Hf8AjRYCeo9GVc/kpYmQ+imvokTlThx/HeiQMX3xtvQB1W1fy75W6UYpZtwSG1J+TVpskRot5660 9B6BzsYS77rajnSEMp1h5maet0KQSbY2A0sN3n76ZdkkWw+ySrl+/g+B0dkVdFOt9uYrtKp/ATw8 OyZC4XwIbXVvJ9sLasf4OtPlbapOjpCXhdRFUiVqRARynAIShToo3guQZYWWolmzv5G52imAghJQ 4/mP9lAWCFCfu/S5htJSZYxYv0xWG22yj4IwltWkpnWICBIRYa5FDalQPK6I5f4VmO2gTrVPS11e /INWCLqD6IiNBd3u0iFi2p2wY6e4Jsp3BVLxrwrvEYrYHpeveL6MAZZjJXqqsbVjK/HCyCO3zxe9 IDDnYDp/lrGEn7VwZ2L8iKLRCWlnYMfz8tgcQ1N3c8R2hk+MXD5rf+OBtkf7gacgS6Qh3gFv9qdM IwSvNjqGTvWp3cI3JLKEDcUqugOrTbd/3BDKD+mk/uWg/YCZ1uX62MuguYmbRi+V32XzKDqjjfAL CwwuBkireeKesfrHxAZE39emf/zlbjgLLYi36M/ju7lUu6TBNClm3HAyMTKGNARdUtf32cOzQcU/ 2LVrwrf45p4T623svJWOnhHzoWzJSB7FQ/T/5jLJKbqlDC24GPoDfvmKS8/+NdyCXXseNr+XL19p wieRVFeH9TPjbBFxne7jPlHJ9lVycAZNaQ1m9UD2xtQ3NcWYjShqFCpXbN95pX2dVkZwaxaEsXEC h/S6PmRiyLNemu+/z6SJJU3iTjRHZ9YDqTkDbJpnDpv3zyR9+gJh7Hg4aTkkX2fCspxsFGoTcR7Q EGyVo40Gn+S9+8Hni3cIXlWQq4t3AdobNOIWcusF2njZ4gfF8bVajCvA4MQEvrllWNSgbs9rF93+ /bS2jkBj9XOzTAkqiB7YqX2VKT6ecGsY13hJQt10nnrA48jIPBtphnvVFdSgBMJlRehKZ8/v07R7 sMMJ3p99qVrqXfgxoJ13YEl6d9AjVNQBR+VHyUjXDKvM7IiWUdYPDsIIPH7J0VD861SsTZTaH4Ip K1F+hnOwMy7x4DBN5iEmEf4n0EqIWpjUEOr/HEEYLz9yDq4xLsiDErFAV75omtc/VyEVcwaVBFnB ei93on3c4sVLnRCjL99sRxMo0YyG3kOu3zRHWsHuiDYBOWDpUtXfn9puY8SUwdXOTJkll9Vxfskg ve7rVHIvp9GaXtRqpTSxABeTLWCM7tTxVbFnKIsD4Ou503CKWQ+eKnYooPoeKZmd6x11derbL7rj ygtrkPT0jpNyGxKoMu1EPCdBLSlxurlbqDRpymHUu30qbvzJ3evb/bsmsZSeZo8ATGribLzpRFl3 z02Yma0rrTJJoMacj+E9nTIZkuoqz/93pMzBq8QVySn9ImduIf4rZ+0d4Gl/mqWQdCiLqbOvxduh eTqUxt4u9BCmQuFep3ji4q1pvZk7LnALhiOEjfcoXuHMnYUi088bp9KVH8AUyjYrLWa0jHaHOYGS Ps5hG62AMmF5VcXptjC506+lamopOjLaURjqs3X6j+V//cBdM5zeKiM1v18cjYBiQqakxCw+c756 vQUc53XGkR0pkEI9afR+ZmbbD6DQ2iLoWPrsTO1cG2jU1i+fdV35OZtXVRHpLgiaBj+RgQOB+kJd GeWic8wzKUjMFOHsGaYYcuJ5TWjZZaRbjsBygbVFc7LTaNL7F47Dw5EiwMH6NjxSaOFROdi6FAsG Hoe7u/rAYNVop9zJbjYIyBwO5yvPIMUqbzPqZCJK9cBpVrQ9Bw6NfkSE0f8odMCEq9yHIRZkN2UX IPPk1Lhg1B89mLX/GMLtogXA+ihpkqtSQM4Jw60j7RSOW1+g4Bs+81TTXShw0gvEeJDQ27CLyyIt dkqKgQgKhF1g0LABo7Y0lspCTeKIoGhZ72L1QfPUWfA9J61jVKr/Qhy8d7ItKCaOXee1+IfVAdtO xQEWuW+511WlVVqoxoc82wWuej3uCynqUWsRiy7Hs59g7aniffi3RUdynRr0AxR9Gedyp6qVAo8u 68Dyv/cWbFCBRqBPBHhBYh7AMceS2n6eLa6jTi/dOLGtCQTvA44fuH6Rqzjh3uDUo5rQ/ikOSNHj J5bA+yjhrXybhg0V/7obLqL40E/Faj9hiYUHkQmbc5URxS2Ojc8qhRNcbG0v4P1EE2K6HXfoQurw 4LoaoLiuK1S/mZ8O5YLrFVtEjKAJ5yvuJREJCmIb9/mdpPEWgJe51ks4/clE9STcoyJMQgoWAzi7 qvV8kfjjYZq1bOG1cmYpRZjGmNl4mHo1qY8U5e1voacGTbz/D8aZW+z/Z9opZtCihWTe8wlef+jx gydGlCnfG49XdFNC8mIzn3bKqMXxRGsOkIMkqXyijudAcM0Zv6FFiYfNJ6/C8+x+a6E8b/R4/jL4 XWf9EXU6MUn2n8JnYUmEp6BVPm7RUMIPh2kH6fdsWfyqhumBR1QHqbxquJK0vLmgELALZW5MDWyZ hQ5arcSOG6p4NinKK2zNxplIfni+OqnVK4rwGncGtY5etCz1utrH14LcLT7Kz02pqTTLWMBxidZ4 9visQMGl+/qbnGiUliOPXeZbYzkb9hgwW2USFiSwCI6rZD5EVuH5wQs7mTKo+/y7wNWPFgXw/HKL HBxwQ4Ss40caYENRhP5UpgeSttw5/VdwrkhLK/gcFQuo/VfywzpeWPkfba8/Xtu2rc8MgV+CInBL sHPczFgQoy6ubyQY0j7O6uwgxMJQQ+HHuh+3hYsvbVpuiQxJomH0gf+7XvfA0BXSAjldk++Rmcjx eraX0F3z47vhcz4rMCpDvOfMnvAvk0w85ivANEvjeG1PuZ5EmYWg+YSDpqhK8g1Xt2LVnz44DOcA xo6qSborbvXrrRFc8CchBYoq7BWGmZu7EN6TFTX7tSmz1MHJ0JRZmK8Ithsp400K7+yb7cIfvkYz ZoVHxaojbrViyEzw1vqrtqhLsS8AOrwJMVyvrGp1qDXjND9QMFgzRWvHogGXXCUVZzvwTPImUeMq uOF/xw5fdYSwYyzFhW06TcEjME1bqrLJZpu4unPxl1DK/3O0J8HUqqvLnU0v+dVgEf072q7D6D4H U0ybUw2lDOyp88mEfdpnJByWNtibLdo0bfhKveVhPPG/ZsD5XTb0ZqFuk+TxvV6xsRMvA3Uqe1xu 9mLcH6oB+OoWCvKgBIRg7SfYetUeH2mg2JE7zvBfsJnQJkxKSqzfK82iT5x+Vv7LSGPONBHLzY1E XTNzqYiGERJgEOOE2OEFZhpRm3zojfbW+9uKK0SWfRnusVEthaF+XNw2adO0fva6ep0kZrPm30tr guZL086uF9IILHtrF0kK3ah3Q+qwnTcx7AGg1hUFX++m97NRFQnYUdztwi7FzVJVI8GFiTnY3ghV UMazoZbVAEdLTnU++zrH7Y0E3p+l9HAt7/z0OsILoAt+WyiZIuyS/RudV8BkPFi5uOrLUVhVCdR9 IlG0Wal9r8RfbxltPyUQj5KteqM+2oehvi+hraeOsuoTxg4GHTxiLzkMXRWeSPu2q013L95R760Q Efie7EOlc48G4H8vmjPKuNIIGzwWcM/2aHZIMxhh2FcUM+Gy3eQ7GhohuYDg8yzyx59dbTN3Ybb2 4j2jrM6q4UPwaGJgZ2JTpJA9US4WfK7XdhjY1ZbbO+25cJDQXzfSxxiifC0gkpwaMKyjr5BrHsC5 obpR6AmjCLUkayI4NuwOGn0FhIvBQr2aeMFpeAPogWwsBEDoq1qknCIasdO30i150EZ1/vSMkCrS qXoZHBYyIkEFDtgkzTZFbK6+ge7XnFu5d981A1KQIZnMQLpr3mK1elZnEfLmLLe3InQe76SURabQ KLvqg4GiMWaWs497k2bDMK+Ee1gpEWZU+NpB8Z9+fzh4uaFu20bj58ZunBysHKOVXxq5eEvgQHcL 71gjENGnWgS7HW7XMMwpsPUeqLTaeEol/i53nrIPnxHdqYILLFedAaQOULpkf/yPZbRhwQ/YTInZ bI7ukzju2/jaE9c+TMkkojLYxi7Ki9vO56dBJjThMst4QKBWed0mILK50FfDlxuB2Hb2kxRmeN++ 88jTcPYS5Q7JQ+QDc+UljPiWsGtiv8btNW9F8JmYXUkoWdqhiWC2dc/vZmFW+QSAWZobqEtnPvut 3CzUGYAahPdKWAPaC5cw2i6p0LSw/eXDFqXD9fIFqP0KlDusDLKepK7Vut9V2M67ufk4G+R2E0EM 3XBVMvVIyRiDAC504kYsINaBP5d0VmmsAJV5DVGjmL9bMHenGENWuXp9yDgYF0bYXOHcLkf+Ryvh CcNQvEKl+cnTlKIahL7X4h1xOvrW5hca4g/RhuD87SoDViHsPFLaYPZJSbJQgU3cH6cTv9UnfYK7 +04IyFk441wJWrqyZ7tdPu4lrbkZlxO+yldzWVo/TFKcr7p2X5zegB66hz8lIjrrMo/dk/DU0lw0 93Pdc7xADF4BItYYupMAHnXeWFGwPkSOZxosG9MP2JMvvz2o96EdzXbLtwR6vrUBWWC8gJU4Hhqa AyYXTOj+jRo/iD+JUJlpgMhxlAyd8IXunGG3aershSj0hYk8yCHINorjGYwR56+HI2HXSPncGJdw O6RmkKX4UJMx8Q/GTNNSTeqXAjYj0pGil/QSR9vi6R6oBv4hB9eWd4z97TzK5wgpu1iNE7Kwo7GJ CXzjWNTBmFaovcZhBfwmOOrBy9W9DRXY/MKk04iEzT+3/UJ3SYwhTqgLRQ+EuCklrVg72kuevDFh dd7NZIjGS/RGW+VHpUO5gUyiVkq32FAXVIIfQCnZOB2l5DoqvCu+yDwwuttHGudzGiHKVKDEd00s eI+4qC7b/NW/zp1gs5P0v46/7ySym//RjKGByp6f1l3Vas1DCWt9KM1g9XPWA6boWrg4f1ViPv3h vvednTbGi7tqWM9PoFYFVcz6ZtRGCQU0mssmCGjDZ+kNrNJmOWPIbyYJ/dEUYa6K7fuHG0nB1VEy wPz+GKS3dQEYRYrAuhX9NLA2rsEYvqD7WjPPiV7E35yi4vR45BcdJHNsG+KhIGQPTXzCGDVDQWV4 3SflCHj/mYwJLGoNyKH3IUNSW8N0Ml9GsSX6tqRqZBAdKOzP2LtZaBItI+ngOWhgnOyM2ivhRYKo iBciNhaKpAL14GhJDy4KnM8+/C3yna5N4B2wGr3vfIiDAuTAq3yDp71LA/1Bfnyfc/MeyIz9t6HQ tI0x1M+dzK+HXJnbtwARs2A5E6NCa2+Gi23wCQk7RYH8wz4h+Vs4Nm4GT6+A+5NhL2UJJhZ13P66 bK5FAheq9DBkPS+zhkIxDCk4IoUji7JXUdaWFpg5D5KvU3I5D3PKkQXAYPFmIB5e7T8RfnqbT2sg kf6P86ZMKXGy3/Tpr45EWY/9CSL7e5fgouUSW7jU5aXXLeGZw7jC+SysSQmYbxmw5wRw+XPxnCFQ T5rB2XsY5YGHYs31ntA8xdUAtKLsF92tsfaTspFIAphQ4Uf09t7LQzXAqwcDeN69dLV1zZ46kOkI KQ+l7xLqezIrhoG9mKAqyvpS/P5BZUBhJYifTXB5O0Kjcjy86PN+QpXMa9d/FRkELMM/6c+y/LJo KH14MIE1vBpWuycwrFn0guPSQ2bCz6sg3uRYFwmvM4h0LBo60CLrdGYvz/uptd0uOYNkqos5aIyo Bb5uLaKYFogu+qLg56AunZcv6lubg/2Imv40BlwbVEUhVbWM5OEwlDW1zv1jmMFmExkHLTlvy+Fo GoIUMHSIBWom6MAcmGtGNk3AfPWMAF3YCCYbCrS9RlFCNPWE82STWOISi7C6gkLjO9MB3BwKI6q2 Uz4B+RKnfSCgL7Q+3Ptk2UbEdz5qpWWqosMnthB4vjxp/IQlUFE1VQ3d91G3oQAthOTFwW8uVqni 2LQJc+g9urCVvtcGue+ix6fKigLAk+ocFY0B1XQNrppv1nWCWeNI9VOdM8SCbMgpQkI0GhjXAYgG PuUH0NexQDJNTUlB74sCFVVZGIx2PQecsYF3JPn0TcEo1h6qPNF+4uLlk9naaMT9l54asv3efhM/ b7PH+IiPVVZQh/G5wq46dsiPXsxQLGGQBpeNwC9J4WFyXkZb/Ayb8TmGemSgvlFx7U9BV7JRuCuE A4+CRF1L69E1/kh38vQCTkeRs7yP+/43xEoQVrOa0UGACvE/VCrycc70xmUbgQ6BYWoWHnPfjmwj 5axNd4+QhRwwhh69EtaKY1nLMb0dWTHspiyUqEUfW7visyUXRM7I49Swbg/AKIrHgu0F++daxpHP oKTuyXO8sdhl1zlZeK23kYPLrp8Lee3Fcdk7YzCoEJJuj+f8IylAE17KzqZHpO5bhLBDQW8ubggf IQbwnT83uSWrD3/KuFEpmX5O3xH5JFhln3hn5vvkAiKis4CVHV5wPd7yl8HrN5cTvinliXydnXC2 WwE1YIlsNXG1ENAi2Cn6SYzG2TcB/uOki//aIyWSRGUv9R7peLbQNFua2xSPMSzicajoROQn0M5K q15FVITsiwy7V+5K3262GDSzpJ+lQlDeetvj/HwmwSB+FgKQuVuFWZ/TWDeKYDGrCciq8O/uQMRb siqx4TPQaDKaMLxjBN9uqh21SvC08kU7f+CIaP3iNVgGPa5xDjFl+xkyOtgIifOh7Gfw+ks4JwNK XQ3mbqXwVgA/pFTtGEfI4meXNwrGZZm0bya2fLfWzd/akdHnxFlKEdZq0RjKG8NdrMPZk+HbaYbz JQaCKxCFxineMCcZI/bCsdX8pGRNaFyQj1t6VdKTdsE9Tii9fgPjfWXhkYGTsWF/AqQhXiWEs1GJ VLvzWSBiteTThUPdV7/42jaDLusyunczUbD4+UPnMHDvdc0cWpLExqmR3JeHPhOa+UXYHqB0O4dA s2fNa1PQNeR8CN8/cnIk7Js64kDv80MJ/s7bCQ132jm/mUzNKEuYdufNItfxHP4sRviW4hAZJ+zs eZXqQE2x1TwJoCDjh561wnGquMPtk4G9d3AiOkTFDy/yuY+Og8ll6lDJaVH13vN5JK1BI5JXN1aK qmXApG+XV+OpXEBufbLPlJZS74rVv7+qLVFKqfCJ5IrR8vBgqbfzMQz+I2eiJjS6TiUP7F0bK8zt WEJWCmY32/rzAUv1JfiUuUctwrRblKVMRMEjMW2rSey8SvP5FguRqx7W+9XdDtGXpW2sDeLbUkxF LfwTFpETR0YgmxzGg5xLC8qKhALYcZ8z9+xUDZO2J3HSukT4oQeQ1rBNXSc5qrhc1hUQOCRHCjJc y0s88hvz9JUURhyiJWR6EwXTfCN7kuYvD3EBFJxiFSYXCJJnbgX65BVzrnzCXAO2jPP7tO59dpKF GzRSPfrHAuEajZu9hoTQD+0EYSJJA4R0TAXOPWFlxHgzbK35q0TPGQ3iMmJFjwdfRAuKglBX+oM0 rhAs94ENhi20NgWPNCBUeTew2Fyo6p0/75JSzvAUHdLM3lQ/qDJ/vw+YDL9TasMxkojRDHxKn7tr 1N2eRxkibNSx/nlHmH136Zy+DC53y99R5wuG1UYVnOBYz3Y+Biw+9GrX94WopgjHpJRTmGcC4TmS do7l/zymD2MypHzydYRTvxtaKw0xwnZMZUpXL42ETGxPHe3emH2kv0LA3uRGCnjiPKk7HWQt21GX I1areSxgp6I3L+TArmSlOXsL0ug97M3K6x3MMopwhzYJvISB1JJUXRXgKeCt8wJ0x63cDXccqYqn SLjV8vvk777URKmLQVJWJXsgNmTMavp8sOuKsthOGR5laODfOeIjdrvKlTAgoI7ckpW/3tA50nyv lgSKOV6tvrqym/9kctjxzXB6CtJdyux0dxSfIY++BQq+pzMejiych51vbekAHvl2ZBjKdbYf3BJA rWvvTia6IuHIcsaJ6JcFeuQxqoq0AMCJeaE4umJNOBuPGPNoM45Z9jvt2MTK8lfbafJGAYhA6/eu RA29PAzO/xZW3U/s4vZgkXJeaaZwRRom9R3EBzaevGIjUf9rJqrclvS3pREnOnVld1SS7NQYHWGa zlOiEkL9iN4Yowrq8rk+d+6HDiSTpeQvKco/Kof4jz8d6tyA8sysJyEZ+0ZKyn8CtjbFg1RQRnt5 v9eHALp2eU9hUYwGd5xfzXuRivXfdfxzOCUTznobqmFg/+0BjMnb9Ct3Q0tRuPkpqRFwHxQFMl+y Ivo8xhAscP2mFgrsvzIfSGI8SU8erMQ61LCoKzbVuYETjnSHjuFCQEmqO2sWcY69LJWA/Ne5poDk jtatTWfqkrbHmiMS6zznfmpUntQS6uNpYlpMVijWUee1rQZ102isyjzq98XmbvaoOfjjI5VT6X2J aeonp0I00k4UZGMojbwiV/BYGyvs8JZC7FFSJthu2tHh0jKlNADJAN7ZUsmZnsQbks2L69Z+BR0d PQrdaobiyE8JMOt/oKGGSIP7Pjz3asnKR4HT3aFpamlh7fQO6Op4k6A8GrAxcvRcMR3EJIKVGBCX /2/mZIVkF5/1Sizr+43fpMLIkEvK2YI+qBuZTkAKz+0HKJDJLVrBY8fdOirQH1nscbpZ6xdBg575 r0X+oY2OTgtZdLD6HX+v0bBRasnJeFWVD1aKENMMh3KikSk3lUIKqMVtdOSjPJ9OKrv9rAIS8vPJ lrmcg1tEeuHf7q7KPECShz85vlvY+nyrH2LLaN5mXwSkM4JpOy4u1V8swvtpHibnIjF/J//lD9U/ lWxsOYarIR09RcEVtnUMbvPUc2WyHjYkrWVUMs2B7fsJ7aj4CjHs5jk1ARI9Id4J/5DjoUR7FiYh ugsNV9byGcG87ieI6I0RBXuDVsHY89Wp5KzwTYqSPCcdQow0gklnowG6HEDHDjPlLrL8cMKewnJY sj9ZAnrA/j/ktCS0PWwZ1SXc14fx4RiM6p+236Ojz1aA3dAgjh8ezVeK0V0u+7D5PeOKHd9yTLig W7mP8eyyE229xNFVPEWkmRBEAVHZYU+ojdDEdMPrLznXmEJWPbfXETgWTjYw+00rvPE/T+q6c0Xf ZxAZchLHFPB9Nzr5Br9OLLD+ld2h+/N0lCf99JHM5KOmKBCg0Kz4Ylmbw/jL5TWgNEi3fviZkAUG NwOHNje8QX81P7Piyy/AGy/R5kRckCzdGgz1dDQkGfgDKxaKnDubSFsO8HCcPXVlCtMy3BQfxoiv VA98NqRzzbnNpH/LUvWem9l+VAShKHSd0Mf6NYvjx3K6AGJtvIZJOOGxTMjDqGs5TaUA39jFKD8L ttdAqdZmMQtaloQwIOP371yX0TsnYl46qV9fzJGgbxBOmbvIJJmaqFXs4FZzBOV4wF2/AqoiaDyd eO2bh0hnSEpeKRUrZNQvN8BJnwjeosjfwoBVZ38w/iYaEjgDl7DIF/rXfO8tGdTYzFUHXrz1IBX4 PwzGEaM1sGPYn0pKPgyCNMqeadzj6zS3mNxVnYGa2s8HvnGtE7CzmBjKOkgUNBQfov9ycjUzZ+Rn VzSQlm033FHGmcBdASNne3ZJk6ET+P46WBJFAHJFcsBy8kWpVQ7WkqoF/GAGvflxQ/bXITWmowDn kNuNaUEe3JiiNXLU9T8ATJx8TGTc5oJbnYTacAtnVo9Ga+7qNesMtGkyElGO7Guo3STOiY+r+rtE QL0ldYToUalQoKj7xtuNjeuuJQiV6eRGsninuQzlvsdl0g21QJgcgLhxgLmxEp9pkQh7/0Shcakv DV/q2iHaycoUE6VCmJ89NZiWiZB9FaI8nSqYCptE9CtWgNpJhwIYO0PUXrCNrtkGb491NrhTq2aT eVxRLqxTNEHDxufdi3R89O9/vy/IZ43nMPSPtBKEkVzk8xrzwGC4s07zdylMoD29Sty0OMT5GpLr EzZddEL6xlJ1hvGgbespz19NmDHhod6LrZGRqVvt7WwMby5oUNqcM3Pvrvz3cZURsje2E9Ii9R2b I7Zruwt4mHNC47GY0FLzpmI9/7JKxXxsNgOTEPdgwro8XS7MCHiTppaOIwnNcqwN7XS+tNSTwYbM H1f2T1+YSojqsLoWvEFSa40naizILVquqE1Tcs05D7p3WUFglPimCYILGPNjnfCTF4YgVlEOGygK UKKFH+xgshyZsOQbUEhxS6ynbkeq58r2Ysd5OGrvaLwEdVuQtbgxoUIYsvdbgEFcVJBrTbL4/XSd OKkD6USLW3RisJNP2ikrcPT9ik4+5KHt8mp3P7ferlDbkf0m3jjLmmmFBjP/1fsFOeUdxh2nTVPE k6P6HWmT5KgSzd/ZhwWdPJfooSzMCS97V6SWx/vcFZdHSPvIut3qD2BYppDW9DyNMPOxzMI2cu1j 9SgeyruzUPmFXe3DwMUP/6aoej09xP0fpnYymUuBVpvet+bToAwbQ/9cm5SqQqJIpRGxWu4NwMjc OwD9aPLobqMXUUPdD6QQsNV/GEOcOmQ80Hf8HxSfPKXp5QMABSiH3ep4PARTSqXNidaB6KMroXSx t2OtQSDA8zuGvcrSgAICXP29qJ/usOsl0WHUZkCegNo2FEWi+cfnrcGLQbzj/HW8FW5kJcdb2kNO eNw6hKQoAHfLY7yCREk1U1Ut18mpbspQhlAr6UvZI8aA9apRepRy9Xtbv9CnuppgHCZMQtxVxF4p meKjFsGFPQ3UZZxoVT+Q7c7XdynIg1K0KI86ef09B5qpFFmp+doSJCR2ugSXPp09qaQjR6HpUX0R TS58h7T9ZnO11saDx6HiLzGDIp6viyfpynJNukkdBiKAscndF3nhhPscnko1BryTvGCQqfN6tQVD miwFIHBZZhrkZB6KWK1DDWe//l6ehjavc/Ykr5i2bnM2AnbS0anGGj2gsn5u1EaWRRthj+615RFs wKbEykSALXjIzmsE7Io9M8oeVxUZ4Igd0fpN0z5wfznwqjAoYkkN321nO56CmTf5emVmv+ZK7b0v LTCbbdi5sh2SHQgfeoVAAuIMRQf5hZMEoZ3csfpX0j0YOZ3FaH4+WY7kK0o79irKUzxyiXFWetqd hCQndxxSAurfXFWmd5+5jQmR9z8R8EcY0ETqcKauVuwzbnLcxexp+YJGEJ7QdJl3mCkAsMeSE6Ij pE4r2npNFJ5KgYdHXiNordjFGqk7TNFRZHS8jIWRR1IbuguWYXzHlEAjR5yTtow+WZFuSaJQv4Cw jlK5uObQMXmtsT/S21bIWyibnTuBdrQrChXUEkC8UTsIuwMfouCU6MY6FF+iLRZBXxekWh1YewR8 qk/+IDXYhnwdPHt5cB0uIcR/KML+W6FxysODxyTPHusTyAqLLJwdrhc3OqkSKOCSqWFMmomN+P5D 0+qtpCWQN9609jH5gQobupBfLWJ/T347NOIqwia05lRg0JAL0l8reju7GgAvf/Js97pyM0xrt3UH yl6Y2K/nbWksuYt5lZNHJA+vmTC41eE3V3FFGw3aYAuhCv7rTWgiTuY03HifcPH+BZzxbsRQCP5f 5qmVFUVWClkYFTwyYI4PHgiINnAljPLk0MrH5MVwtzY9reyNgDmS9Pz8YG/xlSaq9fqKJ4U71TMW 80AM3NDA+p4fVq8uHkrrImpsaMPd1Oyf2w4MFNRXA2v1TZF6SocupAGoECGrqLY/fvcUrkLfcC6M gKfDmDdrj5V2QHW6wXpcZ7ruSXTw3q+ATe1qVKd1+KdFrR3pyxIWRDHFIE66ilqIw6hnLdzEOkLj 1vKI2EusVaaBrPzVgaV9JpVg3Vnn+zL3+iwzsaYXyUDSoiT2+ZhugwcFhXqNePEY6Jp6kh06SfA7 eBD1UdVi1btOS73yKrNsah2RCaUVlF2biSviTHovx56g7yD2syyUmWAYB2Qv86He7+XzWRdeLYFv l+moxWXAKx80R4jzJyqJ5tModMyvabjktEZcRq9e8MUpQZ6XZVqNMxUXP79B20RtUnfNYxgG6xFz QLhRojssR+mPnLL4ioq68H6v505PE7GMoEPqbWG5/nv0Ms6S74sRAjq8T5PoOfDj+ruVxWS5tyfA uQ8jTC9MrnCIXpjaqhe3PjRooT3jb5cmPaCIQPZIzU0zmMGjcj5zse5RnjXSbYyWUrngxm4YC1qH HaZnx5oGCZoks5EsyJqjVVC8tlBBWh+IfpHukwtcebJH3UitFeYCu4T5612fq5NDeQ4sDNQhg5vo IHHA5mqHknodrg8ZHBxonLFcEeavzI3W6E/YGw6Q69Mb1dFOpnAjlVakE9hDo3+bbincazGUxfxb UJ6c4CluQDZWfBrvTqq+D0b962psoa47J2gkDVGGhgf/G0qSQF/6zMvU71iC6i9EjbqAGwwlggWR +K1AW6G4awm99Ry/JRRR9hQRKrjR3FdYnghYobBnTlDzt1Vw1T8jDdFFJ6KMrXyrtlu0ekPCu350 Q254/eGKf3vP60rxkcXW3dm6Kc9O88Vivmf25ftS7h7FT/eP2mDV5kbmVT+59vPTwI5PKehQuwkz 9R9l0FMSNi3lEgG1jwbQsq8ZJWEPdV9I41WxZKHCeUuhvlimYWhiBQUSchONt6xlFuJiI80UQK2v scfnUEQRgUBSP2BOFgXA1O5h0zbpt6//Z+o/87s2a+7S+B3vchBbsodu56McEVUe4yYIkXJf2br5 RXPzJCWiNj741Iep192WtmW1Isy8K4Zj+nXaxs7v26jeVVIYzXkdkcxWQU0M49mFsYZrQyQWMktQ z7FEZ8xirFGNc84Xy0Bx3ZOQflmZuyXH8F+4Y5ipDgriHWma3pBDnsIuRSl1vBcqeiKJSOEr1nI8 uhaP8DY0BKGPh3eV6qSu4HupowdNcn+uDA+b1on7BXCTlDVLUZl3sOvPScMDn7vo8UlO8raMUBxs yxUJFd053PR9p8S1MWA9YR4i+qQExdw6NhBA9gM1MEGP0ooi1RtEYbHriYfl6R9NbKk1p8tCWzjd LZYZIEcf2GIBfRqwDHBIbgPree6cJAWmFHd+sl5AyRvxLRVO/k7ZTqm+zvvKMwFztq2cHo+pA1mb ZmYRZoWin556Qkk1m2JdJMsABL9XEk6P2NBUrP53K4zhm3IVC8paa09fQebxA6U7lZuN/l3swMyC e7mztgaeKPdDLwFrUSUAqc7+xpeZZnFPtAX1HHAZZ1PQB8nQ/xbOV7Uucdc0BHMgY0z5/J0esveS EXfvnj+RQH1cpdZSQ1nE8wVT/1ZdiKQ4AGccjzQV1aJzh2I94Mtx6KyYIBOgAiwdVIesuetWrCQR FFzFzupX9bBpYZajDYhjxtFOuoz1Tgx4oz3pCmGE1vaAkbb7GB33U45+b3w5uWEjScdBaEJ4frpO 1lTmq5jqXtXGccgLJfycKEbFbaP5LY4cN8TLxQhHMpJ46rBqo8jhkJSmqJZth28fWiMLfz86HZGk v0AyEnnyROETjsrOb6CciMCZfocZxb7eRrXDYbVKHBdIuXkoX6xsNv/vjUnGHfCoIFyeuAPBdyzy tfgDngIcpzBtdYXYq9wuLFHO3/CoQpE0YNO7u0Qk4ePp1qTo94tjlzC1MUDDdHqq7r/eTT0qWh/B ldwJ2xzQRNfEzrId0vKvyJXTSzT3iP9cQEpReaBW0yTxhkADSGElTWj8X6cpsAC4AaWdYeWuNKLs egI5J49OqDtuBxlwz74ehK3fJ36hWvcx/cqjXQ4NjOkAqpPCqFqX0XuOQbz6Pagk2ckYJ8eHoWfg EUxdckEm/ghT7D8nKYu7E6B7FZ9tmHc5TYkFCSUVjYmIcfLEUDrQ2V1LNiBU/X2OKOi2VXJkLUHP 1aszucvgt6QnkAfUCYeKwr13Hhn+74PHWZAXccGw+HAqwAfHPkl6PMfOpcr/PcPFaBWoalTmF0w6 p3luuNa4A8T5ACjxCaLWpaj1n4YU3SiUCVE1iZpcZ0MwimfZ0v2IM92TEy5JXrhXMh5s2tAmAsMM pXARSvrPrY/jo3MdUZ3KDf+YaQtl/XznlqAZqrOLeGp0n+O4/yZ6R7x98WIh6WMv/RXoptH+z4oJ Iunmft5w5t9skP0XTwUyaf7tCWo5Ru+p2j5kzxb/z2dc9k8jDkE7nV7Fi79qdMGQuLod7CXP3gOt XMqVt2XUz5GJTvr1rVVHh6eR+XIxWscJ674G+mooRsBLxDArKExYZyWpnCAwKZdKGph3878V4oWB /1ngrTKKwN2D77em3YEpK1WdJmK0G2o5un1f5bOb5HiYfCN8caWOkWFSa7l4xQOzWjxPZBnFBaoS I/sYSKrAIjsg984JTW9iFTz3bXcnUtigXHjFsEvYTjf2vsmywjgzpZZkvsjJ4OOxYl1ePMV4wxJW +98jpG8pQxfAKfFAlB4U4kzgb2CGh7FgaL5rVmezdjdn9z7zq6Q+bjYyaNlQ7k3C39LphMlFA3E3 /a1ML7ssoSxL8tycbcOIecGARl26fMWutlLx/rz3bo5FEYCxgAsmaSmDbMzRI4s/6E5dLTBJeMXr GK/9JhQbsA8y6qf4G1eQDi4mdmdqdf4U6kH/zLUZlUQohlVpGO2RC9jQFqDRDTD3L5SYkVKwA3Zf gIVN9hkIsEcYmZNJOB0L8GzTOGHVb6xkhkCDwWqPO7rq87y2OCpdAd6r0KzYTz1xzPcxsw+IhKIN 5NibRrTzNxi/SFZThjUG+5Mp2WyLiIQM9e1fG+3fm2RFZs69n5W+ecEqW8G5hd1HpzxJNT6bTlHW 9BwKrKfuFfZhG94UrBPAjYaFVqIo7FKiOlFAmKK8gG3B1suNubkZtUftsu/RCDV4rqU4qc4W3H+P Kpcb00kNy9j5oquzTYjjpK+A1mroeeqjqm7V8iuT6CsZICLSRQRlG6yW+N/+X3aEGsFVzqABk/Gg DM44ACnvA4cnSRCbQ8TWSYX7Tkx4n6bR722IcRleQekC2+HZPdeD3lluRGZQOaGIO+6ckcuWlWPV URDIyGlUuDnPzHvuesyGkLP69g3MUbvUpBup9tGCDikLl9lsO4nLbQj2PEDhqtXwuBb52GhkjcBP dOdf20NcSZG3Bpo7J7/ONIgEa2tOD26vg2qjswBv0VRtV8JZa+9WS8pV6NgCPiVHc0IyEDyxFocE enB3b574yNVFsdere7VyHk5qllpkuRY4c2vTefh99ZgRe84I5arJ0sI+NG0thut1IoX4qPJgRAgT DsAHlNHvbljuzUOacuYrpinIQkpnxaerBI6Ck/Ho6ms8tfl5pZf76pBwn5PIagDyVMoEfmUJxeds vhjHMY0eoZPd2VHe++UInusbL8Zkx8YcWGFuyWaNCfHjM9VOwYLnhbYdy9gjd9x7u5pQVyBIg0bp TZLA3moETQYyt160ffj/fw4uK6daEPFmOWvY9ZlkVWdDYFpaU6VW2O5htWQuvLHDcFZWnP6YcGHW sZisOPy7/uf1nruqdZI1tmj1Aq+xoB+VnVpjFVIVW/wH7v7MjgwRHtFC2vAkWXl004LTcFN8ZdB5 MKXItsQ+Onu4ZElKN1azqpwcI/npWdpnUiZeDx9dq+Wobi5A7izI4hs1gh8e6we0F397agCfWIJK 9me8v5bIz1rYL+SjLhReehXwe9VvWz0UANp8Xomx3Gk+ut1/TctkJ/aL/rHVfTbyjQD/Z9mCU5ha dZgG2daUHPVV99EzkZM+yzwIKWlTN1CWoh6flzMP+XZm+LmHmxRAdyNCPbiUkKQOlresHriTtdHL mFKisTh1H1WcUiH84kBKDJaCqrsAzopr09eGxUVaDcrPdw3lRzC0bbrn49lsrM+FieSIiA0Z3jQz UCZV+jp/GisVo4aYx/Pezrt1MofKLeJM8Sg3tOl04xhk7w4yO/7Z7G0J/CSU8OiKRNuAmnkNGlPh CtzCc/NFF5Avdk9+O/gGLtF4oLGH8TlCYBahIUB1HwNOaQ3KCO+hHVoSMrYxBSOeoV/v+WOtmdZg 1g4cex4WwvKGPqA6H7toXnXrqzfK1dG+YC4NL3WVWQK2kW3B9HO5m9F6QqB0d51OTDClQ7Iv+Mjn QDgNFyzwL3HfutygEe+vOKeV73ZDkSdoSxaKC1h/9ZlTmZeu/ujsR7Ec0mZuxRzu7YBMgSqyKg64 gHRsPOoFbfElYQJs+SCR1UUsoWTKd5dOLfq8rRM4srjK3gim5vPVgm4JtHkMhKspUkBVZDR5dwxj W0ORwkpRdWNxq6A8XY0MuGtFly/UVjmY5Or9znpwZW2sV65UQmIAW4vPAf78dX1UbhEqUhOJ2TT+ mx7LCiDVo/FemRmXkbY+S3jniDd6CsMdLD8VhRl6JdvE0uFWdaqRcJcJ3MjT61RAg19xGWOH6+hz nsXEBxKct7/3w01R9eQw4+1o7QRpRWrgdMcmWIN1ljHxdQCxqmvWAgyjtsQqg3WvgOtODL0jjC53 yy0VmqrWdoYPcSAiYgQ6qp3+9qFZoEtL8TK0XlDYG9fs5gUj0d6XyWnC1U+Ej4kD6xYV+vxoZc3g vgQPOGUleypjPJwDbVmzLzrXb5N8RWPVy7+Q7il7AsQVzklQacGkZYpvFmGoe1rHq7ADZIibfyyj A3p2o/unmt71cjiacodBZQghmwVqXkH5rHoylTL6i1KfhdnUsMVvLtblnJg2czp4F3zLKafR1kb1 8dcBP3nxZtbCYof0WPMQ0381l4A40mchS2/bOeqywg2ugIgmAJOVoSQWymVXTeMJh9qxyoqwUy+E cmShGKDEJMWksMTEkXwe+MntRPGEHe/LlJNjLpCHU/c4rzcvht6+7IDyISbNQqDhtwcAMxGC2hwK QGAal2K6M873mt8HRzPzWWCBwiOO0JKPKCgkkhus1D1YI/bT1/1Gr1hkoL2PIb+JBuQDx40z4q5L GEWZtKy8SZj8G7V5eXB2UOA3bTAV4XRgcRYBJKQowmtZnE0pGV7QrRImsUDZCtrrsLjx+KWGH3fU bPEJph3NkdIlospxLWu2cbVQhPLhQiqCmNE8VhPpj293xfAnxQaOmUxTieNSg4J6+k5nREhSbVLc yEaBmYR73tDIkqVE67J5gOzU3IuZTooY8HQ6F+4XLEWH4T+26TyzTtWAj3r6aJmrXrCchNi42YfT XTUcyE5clBOHTXXwvlQHFqpfYFLzCJXkdKEyEYKxmZU6jATNsMcaoM1fDaS8HBqLPjAcfnrF7uSa ieqoF8ZvSfSgPnU6y8137u3UH7qQSrfD0wINjiR3LUG+oO5GzaiH3ZcbVJDGn6DTZeBdwe76XZjA j2y06l5luAi4Vc+OPfqdSJR07DZ6Wcfi9zz7TpUtBAfgtyqIpa6OGlrYUJ3n21to7BYkN4RivD1A 3ek/KGmDIAlu+7nR2RXp0fW6zsgZSCqc3VY9N4ljREPGeJNCVijGYWGNfZ57yOb8YAJtqEcQAhSS UyayyZ2R4XoX/QPm6uARps43iHuUbLozDzsv7BCpT6nqVgMjy17IERDX35JzS5i0lJIfw0NlAanO WySnOblWhbyz0mGgdUPdpb9N3fdsUChjgZO7tPe2RqZjiDm6quoIBwpMTEYqwNFOhLgh3jg+MU/P 7bANo0H2/JgG1S87GggoReijo1LttEoK2ZGDy7LRTxU2fxB3unN5Jh7wh+QpSitE6k8Oh3YFUCGJ Pr5oQij2/Z93VGHTCGvMoy8K5Sfgy0eVLO/+tlUetj0Svj8MSdAbz/eZR1KLzlBZm1FbA5Gdj8gR WrPGYAOh1naPWouvHdziMzWiXIUZlOoS4L7RWkkPZrftMaZwOB10GGsqajW9AcCx7wwe5bKgosdS gBJHqeHtq5aWYWHM64xGetglAwB3K0j7HQmOAk6Qppz+L4R4P/9z6MS9/wWuxp/cqAMabYsGqKSM 390yU/GHgt/xvrzD7lXnmrLg7QoH1jVAJkLCBlgAj+ReUbjYstIShBEBBcmuI2UvFPYMKsVx08nl rlqZl0U/8DmufBUHHaBYbuh2S3bUKO2gqSg3Ecv56fMgLpy1lkGH5TVwAA41x/I9eI61rtMjl17M MUe9/TMKw5E0ecoNFKw3F1T6E7/U3exMuClNZWjTxsHdjDe1mlLpZs/OtGYGwfAu2xuT7RdVAcYj ktGE9oX6NvY/Dz39vtjvAK+AaANs7WpT+5DI2/1oP9UyJx1D9HL47LEZPuePFaoNUQYY6tsljMk7 4A2fgybyhnLlBJkSRB4C0h5rXZKTvd6gE9qKA39sQtBCmLppcLqGz12VNowW8x1+Jf4ZJ66eE2c1 sb1BrwoqRQF4MoTm3pE885kk64xa6DqT47xVFOy9ZRRTFFEw2Cotd9iUp4gY5xyi0GSMeIc0PsyK 6DNoHmI/rCT0I6BfroMUV05zisT2RmU3YqCTIVbSdXm0QjCugVkh2SaZUC/CFViAX98NHnbloeKm KeoBhuzROtRelQfv5/tmVgcw1FbmnvlztzzfduWQakd/1bHjF6rTJiRGpEBxM7ni77COPNCBWHuk xlKHp1NzKMgSPjL6l1xVNghj7mSNUyhVOy25Zd1PIqS3yCJ2lT35+yVgj8FQDxg2jQx3R0x73+8E bKBelbdawND2aGojaiyu9crSuVRCrgq0xLur4CsdcLH3ImPgKZ6PO7rZHN2+ic4/Yrx47uov8w66 qFIQF1e7djF9E0iJzkY1EdaJ0B64UDntoCbSbfZfvjh9wILz5rMOAFAI5H0F6uPQCb/KqA4RWTJu TARz259nXAAzTedYK8BBGxszNXCagGlboJr11V92ssRctFIx2KZlgGkCFMtQaKKXOM8pusTsNygI Qh/Qkf+S8oFeQT36vPWIHFkw4/u1AjpdOwFRrxZQDGaMcnPnk/J0xwFI+W+bDOLQAyCH/LE1MRnL 4CPRWyAklY2pSf/7yAupKa/ZiALVFTfUhAJyhy4bD3a6j0gNF9Rp/Mqy8yUDmi8QmtjtvTb6aHzP ESDbiuqT61a9cp+8nHanry7Wx52VDx6y7gEweHwR62RqswtNcXLvvsFLwLrkHuuCoJIKN0vG1kc4 /XiS6M86ExBG5dZWoSib5wYFhCdgv3MT4aCZZv1Rp1KqGz13m+I+z31c7swO4PS2BJSObvrruK1R PNL8DDC68IxBcqR0aJC/qu1JVYf5SSUafNmRqGMRwbVK0P9qU+30NNMP6q1Lx7Gd6g9WsAeq4hgh mBbbII1B6kGaiz1OKGhbm4VSwHEsI1UUesVw7pZPvaKkJxtOIeTo8WHgmegIjldV/NJZBA3zrhD9 iCXwMqvJOKosfTw2MocK9gGl0wT3uKttRkNQdQtDm4BxbvmipQqXICETbT9nrknfCdRwYdVKTDnX N90wMwn6p48EkbBCAL61Z/PZcPD2Tx13oeH5STnDosRRiKBCG+wLrfbBp3YLSNQ+NOFxnDvjhLvG trt7IW5delfFL5bJwjLebomOQbst5+6uKCdcN8yxEs1POsxZonlBK8vcfJ48uux1FoV7aqSXVBrh 4r+ZN1JTGqtz9A8QMVFoOl4dWWpxXDmjPH7RgMjPtkHv4DdI6eLdJNQRMEzpclMfcJ4bG1Gf0t6i x/zpma9bAoAOFTIbhbeaUYjBCMRlmtUeyJb5JGCQmr2FzVCxfSZeWp50932MpZMhZvFTQUMkx2kl nEiuwa1JFSVYon1GnUJYzus7JBuYHW6+kXQGnijRv1MjmrIDVUo2mNdIjyorPnMmEMeI746CQziu 6j/5JG+VlttFfocDfI87uhLZ7cYK7DpEBwNTXbx6uZFrvF/fchxxf7g4yE6J3cDT711Iqp152IGX HHi6LbWEQYUXY+JWnjdaI5xKRfk+Lge9fEEsB2Oc/ZYhqBqkUxzsfOvRv/nnNuYZ/tf3tcQODA74 U77tlutP/tduJYNfjjqyZLOBlqD5kixpW4iGvr2H9WV0yh4UOOJZgNtJr9jYJFQLMf4P3h3KwjMS gYsh3lyj59EeAWUyelc1QxtCBGYDwWlhlfNHgxdP1vh49PCENq28I1AYatrFTjOtkkVYUKOZbO/u jZiJgk0a8ysGtpRIvKiWZwzyf0jsWvLco0pMXnJvB6v2y+yh8kzzN8b5EKA6eJ8JVll4MbJ4vC7M DLdRCQ0qqBqVkpsc/ElwguuSGdPRKpr6ip8edrHbrnfQa27pySqt1jWxnXAy7b9xW82A7eFdYR5N dwFnHpH5Uj+HY6rC3LFvWACeo1m9156S9Y6eK9YerT3WmJhQk5HtOii27HAm6cdsTAk7zJIZnFQ9 xqXof87opCGX02Fjzx6tYX87F4/PHPhlRQ7msiI53D95QYtIiv4RMSw+oFMgmkvA0TBxjCpT8PNG 9BRnIX/SxYhMSbXAGP5VbQtyV5pZTX7PamkyvhO+okR0AS4SXzgLdSDLpXrqxSexnlT+U4c5SpYB f3mJAndS8mpKtwN91iovRrV/u1WSozlQV8VMvhfj3XrgessKwYyaUZvXCGCxqouxgPOHzHEOaT/l gVJHr1eszuKOHTNo5uFF6DpF4k+n3VGxoFm8KDR4+Szgus+9F7huwIxm24C8s0hlAPfjajguEK1V kmcm+bnO3xjPe84HxjK984us5mNFetcm2FaQ5zZ0xcV+DUZjS4o1V7gegZA8uPTkhB5EpVJBgSmz 9Z2y0Bp4/XyQIMLolErqhIA736v6N3jDq+oe5Ybcb/QHB7prN8dTgbNvvVKXUZyjf6jQweI/Qd73 XLmUyQbWCk6UerNv6cQZdFAE+6K2Y62mQzaoucLt5B/QJZmTMG3jv/sRVLzS5ELnREfJytJZZrfX y6AYtS4DVgnFHq6JHCJo8/jWTu7FSZX3Cd1AXRsoTY3tnwtu81VcURsE7XlXzzhu4MoPGCyJuQm9 DsaADInsKa2DQlvDPtNWElA/LxP2W1cV0SF2Taa4JpDy3fgXBHqEmQ/+mn/eZEGsHlyXTTcEYlcj OnU5PYIf/ttSuAuqg79k2RrMa1iFjaikHxuOd8xb5/KGbnrdEOdqngg54j39o0WnheHqc2+UJm6q ufKbZUVatOomw8eTHwcypMyf2L9mUAKEl3xywninytDt5Rn6PtLbsI59myBz4zfn1A95M1o8DkDm joYeMHUPIe+4C8N8ZjyseebAVRtVisyrTjAK0q662hi7WsCD+5Pki7XZWsJptg5Qx4ZfsoV7wTEN OH0V7kh6wgrHPvTD4ZnbYZPVwrDXLAYKFu4bq7z8Xg6W3uZZRx+5AUwNknoOMsRvbHA8tDUEG/6N HoMJXB2HLIJKz4sK/o4l+8AHZ4W9n3gu+wUxWlVzw+wFeWSSwj3EbOe2EeB8A8xjQtpwaOof1R/M Jpie3kG+s+HJWkAPEMcH1c70qVReecQc1IaouBo4EJv6vRAED2OHxPJ3CY7OYj1kNHYd0YdK1vRB AGk0yfcckS50MX2DxJyAvvA3+SwC6M1/rD+awXZ3oFpGzB4g8USCZQZ8Gmg3N71RqlNZckW7Gk1m iawI5tHhKjyUlGhjyBtljgif3Wx2MMyrx6R8LOtppNidEbAKwQnMIs4+PpguR1u3ROrB8+wk2EZE o96BU/yG+ylzxvyAjT85B7iw5pQ03ZHn5evCiZrHUKS7MKrtAzY/SH6p43kkqBTj1dpFUJ9Kjj4v Np66r3MdmhapN2L+GOk/YSRY+bdyfK6ez7jnSwlZnulSqPktHiaRj7TEUXD4fpB94sUxChkJ3bN1 CnBd2rzpeQI3gzNdr+7TD4nPcGkGaSNoZxZkodZ8coacsHTvc/tClLTHa4tThRRTItY7xilh3aox gEDhidfZj8TXsu6CSGi8gD9+39kIiD59RIGM01v1eBA2gahgzo5rSASc4WrTB5HQTa/7BBpwcfmo /Uk0wXr1YAg7L6ZwsipuLvznR4lEN9yxi8bsENaxscUj3tZfgA/C0MtK8qhn2cC6J4F6fAOThRNT 9gCWBOb3JtQNWb0LpW0kTtSkiu2+O+FU/f+4+YYv+b1/KfOswQNiCMYwiwoADCtav5PnMPAoBig6 xJi/GiXHF+4+SCTMQIcNkm+E5ybHb/Nie+qhePp9L+M1zjjfcVfXIx9toLb3RtA5A+/yL3XMokNI gpqPZifK3qWiSeUx7Zs2fac/CoIk1ARy5fjmRAgtxomskTBzRZ0olQOSec8F+/ARm0d+aP+3CAmI TaiecxZ081N0vDeQXIqMRPGUoPNEKL7UaJu13G8cvxQsSd362pe7DJ6ZC88MKMtWXG7q66gcEDuE cdT31D9jkgJFQrNs39UpnuwVh2KonNxgW0XPPmluPsK0T4eQwcosFm7/zxSzJ8I9cvjRXh2fAg49 nvd/yc5xVhdLP9CWcL1iM8MgnbY7Bna6QOIOwTYo/pcJOVVZjGqtNTOhq4fc4saiurj2YRjmQ12M 3YLI8VDem34qMrnw1I34zcXj+SzKAkuVDNZ66eTk+0OXOR31Q2YctqbgQq3jOb8wbyFCrRgJctl8 mUMGO0IIcErN8iAswGuyAoESE8tfrREmChGm1yU4ojI5NoOmbjJDVBVYfc6UbXFGTfcKKRU6qBt8 RpMqZM1BwKcVnxuuaiPK1OOjUOpKAp05H/I4msfbp6FprYLWZ31yNkrvTnAuNs0uq7NVFObZXi6+ 28ZCq0eK/M+8UTJo/FPiY1F2A9LYo2+T5F5rJ+Z+eN5hrKu0TXnEBoBeuynYXYgQPA1CdKLGqsJh 662LNUBVPNOzfGRDYlEj1mzXNg+VflcCxL0lnTFeGgNki6m0AZLTiSNiqvTc+3aV1ri98fq1QAAt 8N8h13K8FlhGyVla+oeVu77ehfH9IjF/5hyBfbU4spYL2s5V4oFZQqWfo0gkZnsB4VG6cuK3SKGp Oh8Lq4Um0BKqoW/myAk6JGl4qLEteUXcvC8YyxrzoxZX3vmsSDbVQQNaENxbwhk9fXx+KYUz29S2 HlKPRc522CiKkLxu5OKgftg5p+uaskqzkJF0apne7UhgLXmbbm47yv5nLIQEsFSozx+xIJ184Em4 RdGmErsBPx3iGzK+aLgh3E8b/5F+0AWqsR+OBS/sPTgU7odJXvugZKgtDYA0G8JFDKYDSvooX0NB JCPlKOu0E6Z/wGYHA2MVugkzrV/KLrGU/RvWFJf6CM93DRrvvXmFb241KXvMx2PAK34eI2U+MMPM OzfSpVRHzSAX4j1YbnuVzubL7NckAk2RyR2RW7Up8eCxnnnHOryrbLc7XAohnzjCJS8XDNi3j90k enkLff2NTBzYdti0/dxmF9ONNIaMEww7M3+6T/jsb5l7XY3VG2dnJLd8OQjCm6h8rUU0t7CIRkU+ 4GDSWPmQ7c1QXz2Q9C2i4C6r60FtynbGddfJL1uqdPXb54GDgVYC9Tta1pMaZKXoR2fkIlbK2iz1 abMWXnR3U5NHdQIUyqwO2Gt7hnX0Rsx5iEh72Tu2g7cifAEoPIp5jBwYcr6U9DuhiWzP/WQRPlM3 U2FEX+ooZpXHsA0A9mbuPyVB4uNoHFN3iKrpQnj2HfX8mQdDe5v3oMt1LIzszFOfHgsPuLC+Ft6+ Gj4Ljkq1plghLRIAX5YaZxAfxOJn+WCXcDiKYl00pbw0xs7bJiQl+0dQrkIahnUiR0X9NtCVj1E0 VZnN9uIRCDNFIQ+4Lzzrmcik8jIS1hPUirbZuxuct8YLpzfnR1KlwHf5/+a1Wgtoo4MSSLZrqkUf odCkLnlBgCI4ZzQxk9Ipj3llCu9SCw7KytjDvscjMpGAmt3L5JMZI+ADydzBtTpQt3MonMEPT3vR ER8y/421A8Zz+orppZevW+6AbPahpU+IYKg8hng0uipsr56GhuqHQSDQgzgnFbKl+5YHteL46yRo 8TpdNYxno4DzcBSduzBw44XgOXy0HKK69CDIqwMwgOOXWsK/tnBQhw/Z7DTGeZlcLbQBvHU/a8So HfWlNbRA7YEkVZ9v7SNfQ/haPmmw4BuVQDggPR2IDcUaARsCLDerSu2k44jV4S1Xaz4UVRt374W3 fCmhfdWUCojQxDwPivDrG32IBIgRlP3P26W4loEfp5nrnMbOzpMlRHh3043ZKIUXyniQD7VyIUpS /2F/56ZmOZvOEMHsuS14P+tLXURi/tvo+gpDC996Kp9IUaNgdNZoDZ27vdPCF3QW59kRDsbaeZCI 3m3lmcV9g4lP8I435QpOSJ8VClNliRT7Gpyd7pt4V7qfjzWR7YDY6pDnW2Ebxi94PLzbC2Pl28C9 BO1b/t0GZWL9CLjF8U1wxx/ZRN3b0f1TI+EbWo+nCi7LesqwhUHnXkKXfs38Yclqd0WxOClJv135 CAkAtr+roohZfu1L6zAQKklYCHWo4IygR+P+Gfp3oAnyUeOsk+2B7o6i6uWqb1IxuVi1vuhstGeQ cMs5wYW71YSshO+WmjOQVHU6L9UL5kX2Ge+KAvXTWvm8T1jynKmXyWI54ux9ZKebSPqjyQXeyQNL fBKBTKpEtQZn7q5cD1YFMEMdn6cw06h3iatFNrka6ceiC7RDRoycPGkMgSn4xsZyZcRgXDEjHKEn Os/etlaVkSR+vv2CQysdrSqxxATnPGJpqFWbLcbyq8JsFQCPnfMi0OkAVBFbHgoZY4fq6EITBr/e Rw+RbX9ETnchqbSkPops/tw6sEdDiMbxkJ9xRdpi8ZhZqDDdg1ltemLgSRczGu1NUMEOrw3KqmIO CZaYs3SmBV+H8HX9SOb9K5t1u24fHVlldAYJW/ZQ2mMixFnDrFKPy/Ni29LU/9GW4rbi7JEfNovS wccgLCOP25s6D8ZCcssxxuGumnrekLLgvpZXfUDWIYGpaxsHR1Qx9/l42n3zbN9Zy8Q6pf2C8V+g fuqpUuSS36JZnTZeREj30409hBqn7Y9wBfLdt1Bnbklb1fqQhvfKyTxK+50p3m/UYJVfU9rEv+7c AJoBwsevHArH3npgPBpCVmNrZckPbnbflY/gtT3p0biTmezmmDveVGWXUKOYYYGiXzLU3CCMXtef Tq43KZ30x/NGaf5VoFhEHyIQNcaxMzwqgq8MZoNNVNoQvtDgdJUtetYyDyk+5C9NpZ5pyGdHcDoV CCwDoR/FTYl/WCRnXuemU7sFwZN0zgo/3cexI3jM/DgHS5qiG//+tUbPWZAtDWp1Vou+4IjiqCOL rFi7I5WLb6CC0foQH/FYBiYGp2/w/dmwMFsGaZh3844q3jimtPyLUWWS3wmCi3hpW/yzeJZwp5Wy i7+gbiXxa86raZ+HhAbWZo+eHFDivqHIzgMLrkF0redrGfROXigS6RARsLuyNPR/+BaXx9wI0GZd woCKTbA8gw5GkqJ/NFzwZQjmj3M2OmpCmv4c3szUyfS1HT35rQ7ZOT7C7r0VqFaUb/DGw2GcedfS n9/Y47RCwmN4IfkahfqjxXK3jal9qOtxkitTJJmuegth3DRNZpNl8QyaMr6AnUk7u9WegvBEEZrj N+m71oosKOt7iLBC9/tKB4uommuE+4xp7SBQgcD3gHSN4Bi4mnewFNNbPkO19BbkEYAXIktIhKJ2 7RLTsbwGqYe8j0aFEu4ANr88MP21Nl7gjwxCwj8eYvhjQBT6xOx5R/XYPs7eno5TDJU+uxTbRhNy 7lFS93YvwV8o2YVjoHdZrZxfT29dwS8YOXntXyFcaxtx0EHnRgP5HyEcFrW2CmzYGNjvkuwvMJtb Jry7PNvSyKSzdgciYI0exgn7QS3BT/zqTlZ8ak+rVaUUqJ5fix9y5jHbjRAFP2gLI2e5n+c2xvA9 6pNzoIEOml+b7t2u8AFKiwkAdiFimH/LK4JGU7c3uArt43lPjrkr55/NRmLbaJJ8dstOHiJyvVQr Xaqeb5PMH4+HK0ew9rfpXh3aMCmiPH6yco8CsjmHYVqE18d8roQSr/BSL2JaJzKn0LqgAYvUH1+7 yRMFRn+vsjM9zc6qoWRR8ymW5w9FNgQ4002WPxwpI/GLJZ361ssYQcK0BXrPLAo8GetG+TOUtLLq 000nZxOTlplVRW3+HoDtlFyBDFz7y7QGwOR26oyzsMIiWJdI9TuPJv5eVAfQV63wpL1tBnlj012o t+dDQp7WN6tXf6Gf9wkKQEbWsGN5ZhYjv6OY4RTdNKU25PGY9yaHXGwkMPH8iK/CP1LId+D9qFcB FlbdwOkmRs/zaZ8/+z83FOWW30IFjFykVTAt9HcXk+FG2NxFL96vYEX3u0k3BqnE2gzEWRFeuT+4 YQg8RAMnm7cOxGV7pODV3wId/YhvgpyFy8LHsDsHqndnKvaWGyAk5jZlcg8qMlHWb5wmh4eBK3Z8 AlzoGqA1xZIIHOryFfnR6RHtnHcNMf00k4pi/Y/NI00RlAAFRIVkJP52ftAvv1ACStQR82vcC57b 9WRFV+8ZZjDuXDMQyCwb2GU5o5NoPtp0rcqAR9WOczJzMz0DOG2orlg4yz0zxzWmMy3xhCk8Fvva aguOZ8KUMcP7226A+MWKvWQ2Afx1XWMppv035MoZ9BoHluYP7Yp4CjEUSI10te6zVxWXD2QYBlSK g9h2jUzfJkEXDtqpF1F3/+pUMwiM4v96kysN1JX+ztKKtOdxgpxSSQZ0RoBcvNGcIhCwvdjJMYll WGhZe6/ZGqhNwkd454akB/4/MlffjOGKYy+d2g6PzM3b3WxZQ56WcYafa+RzWdXrZRn3VUN5wIpv 2E9MFAF3O8BqRw8MdOv2dcVWJE65HecM+bDSirKhTHTvaKgV/lFBe/zJjGtbEjXEKTclgym1JIGO eveebhpWBpiUVZLSzcTSYA4XN7vLUJfcdzMoCignye89OvrfIPqBRUH3/UlSumU/BahTd1gy90Ky Zg+hw8NHhmgznhob8iF4inYfgHqftyrJF+d6uiFfRRs39XR1244pHuwr41aaKdkcd8xTXEGsTQlz ip1yTUNZW53t8anFV9XBcPSk7nKZ3vESWB3aE4qTUP4hHNKjG4QxRwQo221lsEE+Jj7SehxqgXO1 oUj8azM4M1nUXIEYr5+KU/mnxn/ZXaG4oXNNdKrpQgXmtzFm3kKvlTP1alrNAoRpPzN1GOQkYtNc 8FhlYCtxCM15dGk7jCZUVa4O+ZT1E/sOQAV0dDRjTjVXES/S9+URX87I61b4NMThrUvwUtYQnR6D Fdm9EZ5zE5iKp7OzD2R0x57ubOkm0BJxr2u3wWtLIP4qXz1V1VAgFPF3t/Ic95+xXmyMT0tIz2QR 3L6ESAcan4nNMHiAcCBNE2PLWPGlbLpxAQkKUv5WSqId/4FEtinuqc3bKOLU8py4tCNMgtNNppKr soHIua8ApCPIa7FneoUziDsevwnVfXZQtP/MleZGweiugwwa72yofDHacTzlaDnhRoloMmNeIfyq jeKTXD1Sf11dTy0KVCbjE5vg+1JTAEJv8LBxkB0iASiH5g5blSVqz0a5LRDGBojTSaecL8A/YPmx c7GpKdqE1WJdxaSYdneGw3PguNIkDgkqNNgfVMFHnU37YzCh2lWIj7ovBbPq/AIIHiaK7CCqLin4 +arWRNt7XrhVEAnIjJhxHwDDulUs3n9f7WrM3dCEgoAB/0+Q8uI86JtRoEcSZS1cL33OcoL/MoWK e1sCIiiYYabEapGSufrTAGOgxq7qA4XAbxDZzZmRWFX/mPpLnv50RgqzMxQXzDPfNSBUjpdOV7zj p0uqKwWTTmcNOXDpC/XCOKxsTH/tfn5AKw7NrzcUjDptqEQ6NNm18o/CfgrkT9hcGO9QJuENoCA+ DlzX1g3o01iTrEoutZormCSENmypsQ6PE1kIY5ZcVKO4i7odNQWUtzCWoUwIviqCYHj/VynA3e14 0mpRtoMWm6Ai9mWCNazX9MPccMP7u4525N5r/RCj+uNiYWwH7+TL+FqGhFcJz1FD5IP/W//DUW51 iZwF38c3So4DMIkG9IRg9ezvCjNsdZDK+QYYrxQdxXfYhYEGjL85Slpr706OnWAdfNRwXCcnbuMs pJH5YFrre7gCGv/Wxgjwfxgqn7EKHjNtkLdPlrxYt/qhol+pzSU+qw1Vk2iDU1qchwVERvs8Tr38 MDIrYgwp0cZf8P3AD7u8ts8a1dPyGttE4JWGNHFAbdtybBWK5fBDup13xO0jlRvfwrwEwljXHLlx YRD/FDmQgqrcVpZlUvd+oYLzt8Gp+cjcta5NsM1ojD8MGFeX1NNPn3lITIHTAdzEQ1Sj92MLm+tc 6BWnpqZF7jUKm1BxUZxjt1hJoJOivp6hkrDt+Xe8u+e2FW6XdA5MbDWkN4KQSWr043K4CJjgUZgY mvza5l/CRgT92pr5+bz2sInlkVMAs9nBxS8XeKZH1VMN304gSFp/GThPlFoj0bjAEPhiIIE3uqLa nk8OIo/TLz0Ui5IqM0d8AMUmOXqITfvUue5QG28evuEqrP2poNqINOL05c3Jddi6ddnTde2eN9yy rND/r+xQKBOc48QmBRLi8sXaLrnwQj41HOmLHR0qBJVF/8BOHCDcS9p9bsMsBiKViqDZg0IiC8bP ytOhCd8AR9Fu1BQI5Ue7RqPD8gXICcwfB8RogrQakyFQABNlejT4Ql49n0p+GLTYFwKnjrAloMen NcNfinrCEkcw8awGomsQ5wiIJ6cTTIgNpJAr24KRd9FmLSPi3lTEebGZKVE6LQvToTyJA1O9UPQ/ mOfheWf6885NWzMlvnLl0XkXy+Jx5TREp/XK/swYdeCioPvGA2kX+JvQjyNb3AqxjuO6dIKOVXgv /xFEAgHpC/2+F9H7NJWx9BtJqf6MWfXzzUWNiJcVic1o3U4pLKdTO1v0FbyJUWgDkJAtCnZBtYgz MeZ3IPiElODKGA5+iaiipyM6s2yGcQsgLN7ywBWN2+sigFdR4mFYjbNx/X0pM2IGI/X56grQEuO+ Du/Rpi76TDPbhZgzCOVy3PX5Jua9d4sYN9vXRYsw8d7lzGYVidltMxc7bRfCFwNmjMabMNaahIsy z+jb/RItkuJRBXkwTOPIMx8xHx5O95CAH0tF6rw3UPPgVsWgjNfTCEKqevGqtGBBR46Hbf+7oleI 0FMTlrQeUFHOq17PMr7sy/IHCxgLJO8Y0Ln+JL0ezc92HaNpaWCKpK6AjFxFp5ZFqYJecX1WZwYL LgrtSTWdD1RXqxsOneHOD35hQZ4SSF8TFvP7t/yuneIKfxBmo/g89fHo2mywr2+X/RaKQ0noyE1h ppNQ70dCeMrq73WQI1TktT46xMiy+UoODCUL4BwClFgXw7A5BcRa7Z9IhfRGCzoL7QdTfeAP6+9c DlhMfqUZZlvlIO6rrAndW5LP7lygFWKuNv+ZWYympfDHsa02+/VBF8DzJv0yJv2aEGis3t2BFSfB 196/wdqGDOOBRD55RWdruOY1vb8Z7+wYTpghHD2r952lW/thvRTvsZhsXI6waKHcRBS2TOPqdDHm 7baZfaSGRfht3Z8hOXBPcLmD5qMCLwBDnUJdgtQXL2V6JYmYIBsU54v1ltcux8mOy8hmyp/vicAR 8rLmRmozNd8XsExxrr+Acf/duYhXOGOXp4EFmCiV48zvkhKqrITPeU6Ni0ha1bYKLMTz3uZBgsFO yXEuVKmV1bZZ080u3zlLznkFrYZuNINYNwoty1/Bc6TPXfDFCI7gJwxg3Ad1V5pJD0oO/fIgrnI8 KRscHitcruwGdVA1H2WGVNRBANUtUtu0WkjS0hHR63tiWSuqS2ua9MBcruSDbZmPC3h9WnKQoYcP pAtdT61HB9XOAme62lsqcL3nAZ5w2cUrPZooXdv+YLWuxHZ+BrmaTLo+zH/EiwvKJZ9uvYi3ttcW uixQnWWbEjCkUe+ag6cQqW1xx97x/jET/yUtip4ty8cdPyenFctjKcsl0nun3NFUbY9aKsbmbQrw XzcxEg9cqa6QUZp3mro1uwOF98CArHy89KJ9mVarwXIWXWFTQnwVGNvC9CY3YyIyTF4IeC77LZWJ xcpZNVi9N6pdayrLdJhxNQo9e6H/uTUd4my9hESMPGZXv3ccehS6YP1k4wRPbSddfQd6WN9i0T0W 0fMUjbvhNEwm+uNDw8uoupQcsyXu0W+E3MigoMlP7KQKKfqvVbdtdJBRS8VhQd0y3rAYAH6Ilru0 KdYiRpsBk6mELMtaSmmQQp/FFanZPbpfCQg2fgGNFyW3vXWvYX+p+Pv4tVrihGT+Vj4AilQfFq0D OiVvfM3h5MPhr3Die0+vsG/mYYi2KCde85iTqx6wmWMq9wSvDsZT1MWwZMCV3kD6dzbbd23UA+cY udoE0IDSQYNU22J4ET5C31kqlcI3P7KaPR9n9sl6OvoBCT5YW13tw+e+Lrdvt1zvqDqp+UfPNIud NTROnIp/ErkGb8eIFLHBwtGOqNajDojTFMfMEh50u+pi6lw2QuNXMMQt6Gd3nM3kMwhU4m0g3ADr L4TynP8M2Rm1dUHDgwdRz6B3NrCRryp7s5gYDpg3Mby/tuVmJlGkNyZ6pcWOglQaq9I8BMKUIrCL rkEBGc8ci7YNMUT9cPS/334QrJW14m2xIGNkhV3uJmsmrwgKD9bcfKSFtBzW3ctSsm1H1g2KPJKH KXX1OVcaqOCM/1PUSmPx6qIO83+pz7uFT0iXlkysyFPEM9WqZWamA1LBT7rre7HTRekRdYo72S7h /ZKIJXV+2izH2jv2zGxUqe0K5IjmB+pkQWzm8LprfuMVNyfkWb2GlUF+aAqFN/tjyHO4ixGGFcdo hhCtBJhdTTCKjQc2JZ3as/aqLhkvFC5m/LvCvZN1aL2SiQoancsJ68AcAtXn68QfqaNvbLsOnJNR HUGrOKwT8hZQ0nTrtmWHk5Y1bYx6s5tbpwp6UAwnemqVxBzy2zFDuGvHtR7hbgWEI1m2XFi21ZUo JNoRpiNP6GyR9Hx/d4mYqn/KbKw+wDbZvIHSDYJj/S1OHVVmmp8ngBsGCkWAJxwsQEs85t1wiiMn ZlL/Xyy7cmb8dPp40+QM8vC543+dENAxiiLkY8/WSEcYqAhPHKhPyPR7cvP5MnOE75ei6BpdrvpD bVpnjwIxDlFTNiMOVkXFcIYBXC1sColCC/y/FGUh1VGajkcC4vfEJP2/K7L4VwPQqvoKSvEIXXXT nudaZ+SNpSxAEsCQbw8oEmVNZ/bAftUr5C28aXiPECZGeHAbnvBryI/mP2ZHxxRUMuVGN6vCj3TB n7LREjSjRfZ7bmxG9ONuJEdrTl41CcG153LTTbTb7iahJqLxPh8DHVan/2r1MXluAwTvu3uYrhQF bZY2kayCyG0ccecAh7Y+1p3EwD9nYLBJPM+kch3m479Cp6Gx7Zu18hKY0yQeAEMCCKZSY/PYgZEK SWdYmBkGJN1MrGOyDtshYxgnziaESy2GzFYZt7LOQ70c1hgpHDGmnC7NTFr2EusNhBoqnDZCfz9o nQZHycolYeSQ2Y0PsOw9+a6c/fSdd5aOjIfx3cW89UKi8xBTOJgaiNCqtxuhgBBWAlBcb4gdIABT T9hpkeAIvhYKBkSHab8UaESQDqp4ix6tzekLsvc8ZW4vDitCrW57ci5bfmDXiZ0+u+vXUY9fy0YV rfbXixPsAfUFuZAlpyiIrVwQzcW4oRCl8nO7Wi4l1VhFcl7zdZ18Z4GBS54zi5AR+6tuMRpwluWE 3A9r8oLN8IOl2jtI5Njr1Drk19x8C/j1Ry/1fKpjcHfXgBh/Biq1n8cCDdoqPY7h+nHwRI1I4vR4 RGd2BRRikt4su3BFRQJHLJFJYLANo4f9lYjFcQbEXWMiwqKpIaiTvt7xMskC3PD4vrT0lL+TNtFG HLfoMb6fudA/ZuFWcINrfJX0kax0/Ov1GJgS6g70SqLGgFEdo8YmUeQaupWs5p7a+mGUFJllO0fu FiB9rsGmsJNSxDNVkOumOmuC/gWixY+D7W7UObstFX/tq3Vpyxdn9+sRPgW6W6tiIS4E0VFH/Pi0 znT9JQInVwYELOa3iAf5NUNluJhELdduYevFewTpUnF2ZTC4udgc4yLkANDcwKf2kesD5HnKD46/ MbUAyWmPr03LqIEcgU8o9Z6Rz409MPamT5ZIQ+E5yb3az/CnCVS0r+2XojT2LGVzxPaFCd+GQHFO cA0eaWVubHD4IjeCnvcOrdAjTDSIUdWxgnPTBrPfH8fOjUMPUZxc4GQQUy8LTaHuUln24sTLGf2Y pzibcS20ZKbuWfPBnOTyhbOHToo+IwPN+D1h494yW9lX9g7RwHKTpyhzVvPFBikyyPtP/h6CT46j Ax87BcDtGA+oPcx9apuwlNRrsynvXngWTXsnHH9lFvfKg14JrmfTFqXSpVT1Jx0fzOOac9mug7QS Sr6r2aEotdnpii6wT2cnXwSdQ8JoMGS23wUv1fHZmIUI+2geTO55CtXH6hCOgpbXFzwfyioQX7E8 onXoPHZVzysS26rkNooiOxrM1oQAflIZ7MdX3EvC3WQZHfqaUusuNeqeeOEf5rNH5kUaz9T92i9O v+R2ADJoLd1oBubRZHZhTqqtwM0sgM8tYOnuFfnhL4z5xy9kSgZzciKrHZ2HifIKAd0zO2TZTcxE 7sV2pgiIK78jBulMs1ij76zgnErMKphqqYAPzZpxPfuBNXRKpICNRKLHESJubAKRLh/xQhdrPjZH WXX3k2yy9jcDdVb1o1yXW3doTAsheJ6M6ilSyItKi575j4CA/z4TJ020xhRuBSDwXr3WuJ0kY2vk LbnouVGVKtljfYovp1790N/sOAGTA75J2L5hN+2UixfCW2rdc+cwpFvlbH64sxC3Ne/WiBIZACMR /ryqykp+0/z+t3pAUEAy7tXaLafT3S5IEIUJc+LiU3V4iGKEL4WSeIe/UYLl5CFtbSQrG0bzOz1V sohW0okbTC4C/qE4z9kyHspaZ2CeRnP6NtYg7DKPvKh1uWni9MufHqtCHPKD7yei9UU2m5LtbbRS sZpfaULZLVLpMXjGztLPXVaCQeP5d0LXcuFrrxdwzt9IkamIF+Us+07dr8Ga+28/hWk/2IScWUfM uvxnRe9R8Ud6OUIq3mmBB6f3WiVwT4ocMpz05ygEkG4/GPTnU3Lt0D0HzwPLir5rP0I46NFbpxvt tfxFAtpOIiL3uqGhk/romqDKlIh8pD4MycJCIvPZKjjGzcluNgqHrJbt8/YS5qEn12h6ksOFkISY ga/JSho59MY2TBaiR6m+cWlvynEsWQ4AD+DJT/DzSa81u+mQ2+SkcsvoELsQYxJ6WCJCGyqlQwxf P8DiSFF4VAz8JbCDSNqeHLnxRhGIncIxDzGRr8q5uIxFLIFaOI8P6Wy/PaYnnJuwLTCWY0D1R/l8 /YDdAQEpL1zEQwSkylnwDVNFXYFS82mUAU3KHFhr/AsFZCbkXscZYE479N+eDtnLVzaekTvg7zPG E/34OWWOokFFeH56l8OngdHx3kA4t/Kgd/lR8zSmJON38nH9XXSsjqW7Dlflj+FC9wV2qjmxjQ8V UBbKrxsiWqOPeseW2Y3Aqny6hP+EdhXRo52JIKOIA6+gW2Ifa2XWRYs3yy9derXe2QZUpCdX1DLS KZow0nkbxiwJdz1lw3PDDrQb6VYFcn9+uArT45Rf16+YF8OfbLvYHgRX/2vuDWWDbfruvBZSyh/g cOLyei53qMzIrtFJNKrGsiNc8tLSkyGQb8qv6jr7zaAZesvaQlb4bbFmcECq+gJ19J+0CXOtv+mY Ww08tAdXjHPt50Y40pqaeef+Wv6qWLasE6pqw5EImYzEujycCNJFjBNe3oZgLC3uM7hKpaz6fc5q LtZCQh0K71mzsxtm9Yp6MHYsc81sff/OZBWOcbAmYjzFJ2G1AS3TJVKF3QuwSNyAmTKO0uVusMEg OvJM7WPecjPhMAMWNlFHojCP/DWKDrBAbcEL6RgW8CFxGf72lvXtgkvnJkAfebzvEmGxGAe3hDZP 2NezoEke7jJkSIv4teeLVq9U9KbOmPZ65U78JJ8qJtRm013bXUNrqzllIwWU4JU+muffLdCbmHzH UC0mxU7YfqQe7kcX6v+1ZNAgVvfNaApKBDOUSjO9Lqbt+1ANFmMqYYo7kJu53Nwvt9lGBmeetflS 7MgdK+n5+U1lTDJE0lPPVoJDggw1c2H97sb6kbaEDCtyt5JTiqTh0/Yy1TNPUL2R6EebMpWyOCas 3Y1+7wU9JNqD40M6fGtAUrGNkrxpIZHVy1XqIintVZXVIwMDZ4RRm/iKleWOPZqwPL7hxym3Qdvr 5SUZtNSkkcLD42WD/LRDQckuK9rl1pgqnf4Vneqj/HK1DuhTmh6yzCutxTk5GldOC0NZSFTNfrCg IH8RcOODpuXh24o7WG9PKL1iksXKPcVKV4G/Y2gFnqfG5j+qzEeT+RZKBtFviS847o5CrSV0loNb sJGKOoMqWXwJgn3KdMgPgBLIyutRrKlvaiOSvLyaUtc+Fsup7DTggc2DBq63sg/O45VotcIpSN/g rPKYcf5OdckHIaxM+s4yDH+bFI1cxFn5GYs6X4C8JLvXQ88eq+sDwXpZFHd3/hO51R8fmsDrf0K9 d7I0bRIudFKX1dK7Ujs9TVEyvD0WR1ug5Xci2ZjBpIS8HrOQAZ8rhJOu2l9Qy2VYjz2cIkFSvd7n S2LTAP0MYU28Bp937b/7di985ksU54MjxtIevgsjpM0+NXxDsaoIqZOsBpmruX6TEcvlBspLJdDx bMiTTwwmsuWtR3f1b4Ks26pdCe93DpQAxsPGbCiDvDb0FKJHYtLiJmlK5oukSfpcUsYFg324t0/u x82/v0M0LfZ/7iVJiASZ8n2Kv8AUeX9yy12mWqZLWJTJtDafjRIm6q5dYtgm4gvWnAFSXavpTrMT MHN7PFHyt9BoAjUZpqcdA2QtMiDGiA/PRFWRTSDfhVxxmb5+gsqYzPGedU1WLClpLzi1LSX6LFG6 icK85HnqzJXDkhedF0WZ5mdalDVbPE1UFd068OXkq/QZC+vtRxTqcTeNfUo5GYQ4K08Akpfgq8RF epezqr5GRnPDeMTZzRaRQwiUSi9N2Th5HHPJyrN89728WNjSVdXCd7+5JWIbyyFMyHlcYvxNjnNe ayzArsdPEeEE2cswGHbLRVgHmNGrVTJhiEOaCC8Ovt17IeRpO4WZU3lZyqFfo0ZU6bfntYrnQTC/ kQ4p+W9TJCasmUZ/8/j5VlfYQB6799bDRl4sFpddwls/MiqWo6KX3bs9K5GE3w/8eSbfFGM4eIbU 0EmOTKLLpKAzdmqQXgoL5+VBAsSRFNrbSFGcGiaKmrZbAHqJCf+9NpCNpkN9qgXyTII3g+sMaxqF wIbyTs647i4IjVPAFkQb2AGe1P09ivkZD76sf0pI0kCzTJD2duo9w0y9qyd4cqVypIydrXaqunqN tapLRg5zFd/WVCp4aAILLtiawaEwmaHWwftNL+eLwHIkC5L86lEnL0QAC+H01FwetrHW24wuJrKw vLmGuilA9LzqBJYOtoK+hO3lzpCIbncQugVDW+HVnDv2LXcAP9xjw4TmV5Bib08fTlm1cOQrf/AI Ap9H9LW25rcyIb2Q37CbWo65raph0n0qB4DePnhOJ5hsa0XdsxYTuDtN2+X5DVMTlhfMuozE9lm4 mC0VuxuzObFT1cbTQWwohUvmwHwFhFxnXYr2KQN1QDxzJ4gaU7MMPAQx0M0TWsR8IIMfePPeAAOO XPfJCGM93Y62HO9bGr/7hxOHFLb1mIcIVLylsEGEu9qd2yDMC/u+CrBdu1bXM6n+L+anbONFpVqw DLJ6FqVtyHVq1dj4sHc+P7/DAMVu8m54u2nONbsHNffWKYeMTIQFokOakGk3qKjDyK9mS2toZEXX +IeoS2KaD7+TVCRSUmyo8L48whwZhWUq78jEMVH+ikirONG5EGfvg6Luj514EF8hsZHfsvka5sgp sGLjzBgVk0OQqvtSailJvlaRIjBp2ZtUs7l/YzI2WJqXa7pBh0PipOgb3rFhbx96SLMRWMhfeMcv TrlkE7fUOpUW8tZVRngdEFTXA1wAhwM78W6RE9g4owwMz3qcetTV6Dz7jXg3FsAX7NiTy2mpgQ41 VikzQQwFNADGq7AGTlFedjyFm2Ad11D1RvRdyJTLXISwgMaC8EViVkGjUJOStM24r7cebgC4NlMx 3IV7Qp00TI0ttpFI6B4bjvrDCEppShqNm+RK4qVnB0r0Qy0irWhR2BX0R7TWujKL6tQ4gqDliCHC MMIJr2oPn9yXvUpviWbYzRa/SaY/hC9bozAyMP1uPKze9lXzdRZsHnxL8wRTAXaV4fbTdWZdl4DB burBKrxVN7VjuZgvfZISN4MzLPfM7KFFe8bYVMVsDlMNsaj0/6/jUndkmaJoQtMAe86C7a8AxFeW Zc5XTOOqRLB56Y0F1Z/pD/LYkOEYB7NVrgToNVPPzTvQhGB00LEqwOwxKYwyBWWZUiznVFTlP3Fr MCvqNgJ9ksihjOz7Ah5j4FjsEc+3s3x5Plv6FK8kvoKnl94nBqWDZFQTs0HA9hMOqbSiQOdTJsJu I8V6nLV5Jfno8ymviOOWkKC+MW9c9JwuXzaPfsWznAKIEfTJnHl/xM1iScNBN0On44CCd543ohbQ 28GJ3HD5fwczxmr8obgmIRhY1CrMotGa9PBTb1z0VFKKKSgMY77rtFPefSI3Dn05AT8S91r+fG3Y 0/3NqvJzNUF1ykURLZKaBXiHzx20PbpnDPCW7mly7hZS1dqwN+xsuHeQqH4SOk1lKec+G8bvMfxc Fv6NkLfNyo03R4tZO0vyc/3dwRXV9+2gop1t1ueHs6r0RosgeYlYR2dKbd+LogXyiUmiUISCOuAH TdkCetG8jnO7Tz3zbU/La3lBWnV6cgNjeHLVR4gJARA/HjxXtpdKPccA80LHamV79sMWqCI3KdQZ ov/t52XAyq7n3ORGft5XXSu3iLrpsBB819J00M9XS2uPHh4ebNVPU1U5Fq6xFlmRyeHAmC/kRPC+ 4sKzEPqWJ+WNOSxJp5DUWgQjDCjiAD6fpw2ltlDFC0venr8E4HLV/327r4B/fuRlQ6xQ238tUKch 67/7JFuFaI/HyrmPkC1ENl3jDCZVbJu8ZfbxxzCXo/DeGxwDNSlU5cu1m0sWhvvORtk2HNEkwFqa SYhpj/GJ30GCLUpzTEkjSeDf8AdOBBvZ7sbtMwxvCdf1nrbc2Y+R0rEp8xM3fn2YC5wwSVUeNRnJ paLzwOqbL2QvF8jmijvSvV+Mlv4u5W77tmgs5qKPx30CDp0+nUxvXRMKl6JSmijz3PEW6P7PEWQc zWe/O7vjNOEHvsogH3qdGJcbWlPxf89e8sgliQshiH3sbeZqWX5/79wXAxhxZ//U2wk9Plu5WFyN Nd6RNPz1f9sPT0Kq+pvuznMy/ya3emd9dm20Bga+qnAVGb5iP04MDGYqW9egtbLrehfzaFehV6ov we9aaoJj75fKVQNE1XB+gLed36wU8TIfaVbVRFEHTOMpUSxIJa2QO0yaCPKsOuX+efy5IC2AcVC0 pQnp4x5lT4KNfSTnQJRStJGlc1keISu3zoFyo7D4ciUh+er+qkZbIYzSVEKSGnUvNcDjMW0q0sMJ sG4BZCxa8nVOE87StAUFUC/VzT7/w2GRwAvGfhjjZIVtgdW3QplJVs3alDVWIDg99ZwYjoDkpghl mpF2/Z+l5j1pD1y8Os1OFt3fD0VP+nDdDTHpS4UqfZCSZpZuUWyEexSeUqOkfTRyjNzp6GJ53Jc0 jYVM5jr9Uyx1Y1LrfDfcO8K8dN/nl23ZReRP0diGCFXeRnPw4/8gyOMcIJsVCV3CL2OYV31RYQCb 7sCbvgSOovNVQjlgIkQYKpoUFR0LEkGtwsA86nYq8Yh/DZVxRgs7xtyHxeFXFvVtihEPcYidGmX6 g/JhPDRirWV4JSWUrxyNLHVdNRej0F6CTGdQygkRyEHvwADhSxIPiExZZ3ILp6EvrWclh9Adu85v +TNlMpZAzYva7HUpVgQvDvs2Y7RtjqksBQAGj8MpcPOpsrC1SF2VhB14aRbq4XPg25aMoomxx1Nd 7QK411o7AwpE5PwHpfOU14HboKdKvjE4KoVNouRDT+nD1XFLjFzZ9XNn3bmFW0ZEoc8meqo3PeNm C4/xtBh/H8zinkGfs+zyL6BuKKeLlivK9MpHmTdE9pIqgBn9QosIdDEXZj/ZNpL0Py4Soyk1gVUg 8BfViPyTT3Uo4OIdOrqwCb9FnJos1cFL+mX4EMhOVE9V8p45GCGez7rzsVxN9U2sSvDVUfCQVVOH oY8IRn5JFC6OBgdYMozoBY/dqmOkDVN8f3Wwl6weGqgTP9Aeb+kNNuGtMikNHsGvs5A/F9XkWvBD 526RkztHvGOIWNFYRQr7EePAJ9DMSBgWMj/9CCz7BBWzxWPAt1qnt1BEmqhE841pTFfbBzZqsyiL 87RQH4Zmm5FPCk515y7jpadEjnXKDEo8XrERWlqMkZzQsBMa7tPCMZSshDgsdqQ8Gu5g4ANzKzt5 k3FXMYB3reb/EKPYP/B6fvXvCzU+cBVIHCfvQ7ZmYzMDDqnrKNKMiPmD6wZ6mW8Soo89R6O2YL2v jBv+xNlI1bSqA0/P2EchOZaBuHIzrJs2IkeruLT3BReS2P02VrmUJkUhTKVAxy78kvvJ1xdOvhp9 6LIFufnFhTfSpMXz0pHdfMPXWo0ooAa3HwBn/dHwV1aTOmX87jT3+3Mq5kscP/A0PQCs5DZYgiNZ qhvCowgLDP8ScesISYSi3nhrOiaxylJmaRmh0VqeaGZ3iUuCRlHcrYBVCRTp/7lgtmQTdZvDBz33 rY/3asdPltcMxBU0NdN1chQpBjxLtHaiXLxhsS82xg9vScs4IfWNrnIS8O+x+K+hawrIhx+JcAs9 czcdjhWRnnEfvr8zmGwP+aOXDBddBKP1vHtVQQmB2QheMY621de/8EgO8nrHzx1q99quN6XjPjEZ lguj5sbna3m971iaQa2f2w1jX91Ynmrj0KMtNFZfaKYm8fjgSEkZvmgktGiUCQKQ+xwNznt4wSam PnEv9TS8icrx2IbPT4+Rekltulz+VHX1Bttzc1YpiMJjGibsPCFLTiHT8yiqE7Q9VZDZDz5w+ItL 4n3iwwHtD5iHeAb+M2a2F3IInE3JmrNTbT3GD+yRwXb1+uh1jDmEhsPGnPhwEBs8Dk7m9UC1roXy hh4/rfflby3VrSXSXNbCrJ5FCOI4Wv/j2FwBTskbVZoKnCsZC5zewoH4V5YARHohSKOxfiV4DQ5x RPErZ3HEFNFDd5NWmApVUvW25E1kfQ7aZTfDCJ6LUen9vrHxSDGMkNBDSf8lKnUJHKIwQxUEU19v PCNsORCKXjhsi0OGYA60bo/E90qYF4Z/yHXzFKefmYrqMcnTGU7Lo/4aNMNY+CI5nOvkdD47M5pf iE0sLnZxR6T5s+1BXYunCEG7m/vqlZCjf92aLtkAooyhWOIfTAm0zYRGurEx9CokUDDMqwBRhqo2 6pBJM596Ojz7tmeLpvhU/17mAJZOssUN+4C7YxCl3QmvSCvfFBoSJga8jJBESxn3e1j8CtOPYHRX AtT6BTqIwVC9P4lpwFNB/ycMieBl5FhFPKxDb36Vn3S0mPejvd+erW6qZ9sA2Ob4B1IRn7cYSaB/ l68A7fPBZNlp7ReYcN/qVC2H6VCR1SgNM8IYvU85ssaD6DuydS9rskUW7hrDM/yR+yokidMDPRzX rzJs+1YbG+n0eXgaMwEka18BwntjNqjblF7rAa7fu1RqcTkvxZeFC7s9RiWmFhwzdKeRHJHHxVT4 GIrB2Sc4O3RG22ImNjA2aHxbjTqEiS77OoJUrP9BC8fTsGRirhDV4JNixiIYc2P/6pPNLH7a7u+L ef6+WY1u4P3bRaXlkxqeokAgXS7rNOIvMQa54E5PuhKOsWfIyMNnVGlyzzhvhtQdSyw9UjwIJQWU U3r9WUDwwuFiyywp207Bt+MbmgM0E6gw6ZEecL/Xy2TQi8ow3BZwslPiNpFkhouSpAdWX4lgy8r8 rQHySo3L7HqF9XfctYO403o0UCyGcrr5TWt7Y5Vn5aikaZVop+WroOe7QbVVsUPakyK0J0fR2TOz LNzZ4+UeTE2cQw11n5j2EapyjMYBvpctY8jhGO5bA9E6kedkMtIFUTDffbIGnbLrtj3zr0nRVla5 VH8sAwZ0rZCPtt6Y6QfcdQ4Xthu2YqQYrtTw/WtuTgc6qM4MPC7kZfvOicrwWCQZqkNy8BGFUhar nWzFZQA6wQ6ssV9LPsdmB212M7/u0ezrr/9y3Lh2AWhdfi7h6ReKg0CwWiCzwvbbbFCHXZ8oK2G6 wYfA9VhPp5SrQLVPkBTxEjiCQahPL2Z2e6CeRalzyXsGDU/Ox+3yYMzhUOHfBw+mY/QjZ30Y1k/9 g1NSrIRgP6Qol7dUGUTGUlfIrbFhntF0zMKurx+0ROmfv+09Jl7OlGitR04WUPpmdl5zIdc04Xe3 E1HznTGmzUi3HCVWIs48mHKLzziNKMzsjbb2QhgLObawbhkO4UcXDV9jsDIUofrr639GX27NGn2q f5322H0aXyJmVAfpYGbShGdVJ2kmz9qv64dFXnKw6UNIQNPhj/Ll0KmUFmJ+VKD3o3vEbiVWql8S 0yPD1gV6IWD0MHf9531y+Wlb+5GXVi/qAxmuFn3ojBExd9xVxeWEkyAOUjwlxHB7Bel9nofW1NEH wL+kQtyDCDdC9avIzWFXxUBZD/AYos6ChX0Djo9+DhCRTRNn8wXR5fAmBRbXX9s5ywIqi8IihF9b 9EZG8ccylyLuXW9tUOFRVS3IbVhiXw4+zpsqXdS6qKnSiwYb4IMQH476JUUQN96hnPkslcM+uUX1 1Z0woRCXXWehOuFPkioRkAzHYweNTpXjoUAKp3IvDqnq/tyTYROyzSLOg0pQsEn04u3n4b4k9cac lYjN4svHaoS5oMbvpirzi4aPoU8htLLd1BchrXuRcubZXVRW8Bv8AkQXh/uWqtziacz0F9d2rOW0 Dm6PgpzmDFbzQ1B0m+hCH0btsngXCzXza7YlVSJZ5/oIpGUEDCYNWc4czElkxXCKybKLLgpJY/Yy UUYROnG0Y8rwX9nWRyE21Gximfsb3k21bMde0vYy9Gswdwde/So6dEgQgn/Z5H7yXgD3f2c9R4pN barXsRP4NhHe1COSGXmYAQxhoD+zEulA2pdm8u7SGuJXQnklcFWwGZ+pr6+EZ7c1s75rPyteB+0D bQdVH6affxdF/VpiV/Ha+bnwVzYzc7KB22Gs8jCoEwQskvHtCksVGRVqmnz8tEJWi3/hbut1+4re Nrpg8GF/U/DrgZCoOtajnGzlEOcSJiXPaL34Dri68tYvw7qU4LrxFjjcxGUR8suB6UfxAALEw97b ujQT1171O8tuwN+mnCcLlpd1cK9tnOlSbJ4Dfytx1OQETaISB32kD+oPgwo8IhuBMV+p+FxLvJbq 6Tr9UF0n40DE3pn8FNHb/domGZWGxaGzAJKQjfGRsz43HF50iCLS1Nd5sQkxp3uAaeJfKRLMp3/a aw/YE+13FR8q/1TxaNxsd3zom3EtN5OiFRliSOJSMWJqsNh+ISuntxGetYm5jSrlC4al+YP9wTMc +sfTgv7r6sfnvvDeGgPNQR5sb5hv0u/YJfjXI4LGHHs4BxLj7FmvzUT/S+gC/Vx/L5TXJDif3ewU 1i/Pga41dLaLKU4mnhHYtx/4/e2DzuA+aEcMZANxtqO5SvvItQMZWUxE+5bqRE5SBlhJFtDBiP8s F48h3E+Or2+tnc1wtQaXU+8L1DnIpPRjxv//vLHpu/qiuY9lPVb/q8sB5TqxraBu88Elc2TE3NXq AWRhlF3ZRO6V9P1LK42JRLP3m0jzHETqaFk0zzOgfDQ4we1K4WzuQR2dV/msK9NpScMAMPQoE9jw yV1gV26wHIN/z0OuI8N56RQvNOuVw51aDz2F6qh2R0oCiTtJYPz6RsSNNYYGUbGIhibFLmr6T277 P2ERFSJ7/XUP4BWy27K51s+pdsVZoqIjk8UEy0yTul3Q/krj1KBWTSpXr+2qxj19oWDZ19IEa+I5 OannHSyDP5dKJbP9kIGWOS96NzxbpsCqZf2FOza0SIvMHkmLDvsDberZADLeD7TrdiZ3qvYXbphI OY79ctJqXo2hR7ymD97JUt1ciNeI+B6emmJTL+RVciLgWU1BgjTxRDiyPoSu1wu1Cy+iIIsAt0vo A/YZsSITvhD3W/zdnk8336N8eB0CYRIpkDgxgPjvin3dX+IUlGETQF+mGeKVGh5XP3HAYuVXzmsX kv4WUPTmT3vUfUpyU6Pq939isO1rFA6akF2P0+rN2kzpq18g5bh8bD9UM5wLmlIlK+VEq51OdxFn nnN/ptmSc5fFfxYYzI8wcwKB6O/DTVAGn70sYW5iyZ/TpYXUJf4HaFHXzDHyICnb0uNvgaCD+PKn 1I6FAkStRpi5a/V1+HiKQsleP5BF+9+UL569e8UqKvjEUKRs+yZl/iAZ5n6CtTsY06qt3vnbpdmq p+MSF32TATrnUpO1ZBAhYB2SmL8O1KquCLa/DYxrg/mEAKlO4BoMpdgCtKpWqMQwSp0vsUlMza0s 7sEnAWqxhtJGa6czYlSf9CNAkFbhHvllKP865303jxYy7SW16bExrZWsCkte/oPgopU5BmE8qjSq YZClw/jvBeThqeIrkJIuCae9lqEf0A849VjinxaGFjBc+ALYmnbAOLrS8l633nzM5+9rPb39elbm cXcfaAGg7IGPhVUstWo/vgRObMFZfLoScub3s6uLB0H6ZioVa3MMi7b/RjYpgwBMGTNt2aK1BrGp qVZ/1CYTacFiD0ME5bkMbOv3K1kQBzPSUrSDT1C7p/3mOz06vOsyTUJK+7ykOfoqYA8yw+Nn+0jR QLqbsngARAbDbSQ+wX6aSX1gkCOa/3+p+2mQxa9V6LU+8fGn8l1pNzAwiqAiFygKsqvBj9YniOcI VwKqwpLvHiUHUKSJFbOQOYaepANMJNiscXsjO5NF7frMv1axNSW+xHUsfiTF7mYI0xIA16o3mpEk uMGCYrUaHgH9aBg+lm90y5XaUUXjFBynhzSo+QWln75OzTvXAoC2dyfdvVIv+P7hikItHbR+g6UD 7HgLULsQg01Yg6ihpT4STxnh66XFfF1YSskGzmBXw3/Z/7VEPzSLblibqY8337qAACHQhpykxP4M 4QSpTzZE+0liJTXGyNb3idKdl6QMh4b1+1YYFUIwJQR6AMTD4KmvtZIanqbKISb5ABjGC6H/IMKK FjgdRPOviV6EXxrM6t+wTiG42cu7bbZe3U11HCP6tk8OMV2svDsKLkrYY5hveziSac3c0+8MkBIG Vy1WBLHZD0n3U0DrAqmP0BMUvZIt1wFEmcNmlFfsscuV8AnKogcMHgM1NcirDcXJTFVlWCABpFSm VLhIH6IW6QCf/r6WSh4KH+mgDsg4GZDZ35Azl/NRbm3Y/4ZynEI5+y6rw20lW7D8jP9hOI7cScdj CCo4ScjKsBdAV5gvMt5qhEwW2Sj0KDgTSOGmteYbiJJX8/Oh6G97LZpSdehoq9AZuIWCNVcdTd7P tXVSXG7wI02hsauS6lkrA3vqUqA/5cYiias0qnhX9+Sg3R6IBNuHXDqGMS4oWVLVPDWaupBPtmFu noy3brdmSUreKWOIcz+rFHTKhDS9EwDxrUQC9hXLO0LipYOZz7Uxmm3gn4gIGgAqeiI/qSTY/0JL fESfpPwUY5aC9Ja1QlCguaaCdf4/i7ltwvqvDbHySwzzXCGyKTxQNcoDKwgkPyOVIgPfHZ7bTybX FKvM2cZ76hUxZt9vGkHB/kibbRGaMNPph5D70R0hjVKBoywwv4s+/l6iBRkDnW9vojZxo4nayQ93 8hvndhvtb/7TDLtHcr1SM5eZ0HZvXiaAQiGLb+QQcp72A/YYZtGdrWn4CXD7hlLTKaAB6qWaSML4 vtoFq3pnondaGpxoFhAc12ogr5uqvR0SoTUefWYh92U78KPLIrA+jtV0pIYg4I0fb9fGu/G+GZX3 hEWqRocD4hsGZiVPw2f9TTK/Mqu+HrKkc15Ob8HjikdJynE4cQxO4rbitVwVOj/HaIDd4KZyefoj xnBxVJb/kF/yU9DNXRoJPheHnRhD76izGd+zObY+0w9QmPSJSrUElKAkj7apFg+OMS7i/BWHjcsX 1hDIVHjjRX3WBb9aJgIi+hvNLHdC+SIv0+dihj5ZqrByHcVP6DdFpEOJclNNqByYou/ePd7b8c7q UyHdJd6+YJsI37uoE3cQ4n94X58SY2M3RYDzwDk8DnYwkGZETp60gBz5B1N/5/f/yNDAiihs7rz7 ReblfoLBY15FVOX6lcRuD11snFu7ZDB47aHztexA10uwerPydGbQBjLZsOgakjA9Rlon5NI2rToL kDO7XRr0zk+ejypZ/Dnoc5cWiJBnYJ0I7vqvcO4Oq4KjTxKL2PgLz6kpzX4c85cpZi80do9L69Xt Q3OX37Flj4kEZ3K0XMfncNrOW9g1sqloUCZww2niIaGCZWXEnY6u8+ms0EFaZaHYQcEWGNeyM1wf XbSXRnyJRApjaX3p6gZauIz/M694U+rBS3LrtmWNSsWklkpblF5sd6c+LD5//4skagTsSMpn8Ndv 0Wxq3pqXx6akndH6dc3IAGaGJeGwzaY3VCIYS9GMUBGKv0mJzpdOy5Kz/8+TD/3H0TAvwdRyvg/5 BX2f3+mrSmIrmend8MxMIzIFFeE9s2wtoACDF32OGmwOXLzDIoxcx14BSVmGl86YhZxf7k/EZl5t WN3g/SL9j0ct+7mv0yd+WzwggBX55lg1OJAiRb/FACSj00GLw9js748wwjuH68Oznt7TfnaB253O ziIOem2tQTO+3v1TkZbBSbfuSc0mWlonS0t+sVe+RmqKdFBdmsdWZzER+ryjqnfQPJh57DgHgZFn hw+xMdWWGC3NLI+LxkKNjJHwJyN93z1mRBmaSE7UcRt7LUlUuOUsSEgYvDSjS/okBhccGfaO5dsJ i3NhX51iund0YsfUQFLYM6HZwX9gf1OR+bxYljNhs3jd726WZBvo4OJiIGyh2+P900X0nvc+/HAE MJ/YjtUtnZSg8k12weQ0E/j7LS8kAAxJRUXblSgluPkQpxhhr+bQeBS1RYOUAjornMgSkGBDrLJg puZQD5NOPnQpiehedCVDRxH6Qzgk5/lvnnGxq7oEY4Mgq29OkHmLFIFRBaQD9k6mP6DIEoZhE3RQ YqIDKtHTMa4kutRnDtEjAdWccqGQvYgbY/sXGAw+d8hMvWi9wr2RqVJvr7dRxqtSUceLGyFKMN+i 48mNz3uGbi2PkwmwrwIiph9E1mrDzhUwD1q5zuo4j0vAbHdkvK5iBEut72ZlV4/7gUkku5mTNu1I qMnwEdgZxCCPs3PiCHLZwjvTDdCfy8NIG7YaI/e13HgzNCQMYa9vnnuiwK+5hLZK1nyVFSQ6Uwfh K2Qo8s/adSqaFyylhiAgblru3e8ypQuzhbfZX9pGydwDYgoYyg9nc5n9Yv+g7qctvPlzgEczP5h4 pfI9NlW7loTwyk+oP7cRAaH+G7oklf0NBeCvYUrvmGAG6NyifDsWpEtDSGmiM+zUSlakuZfTjL4e ICRC15gQdQtQ+w+SnE8q/uJPM85749qioSQIIBD2gFHq5McMpbRuKD2I6PhiHxBG2VMhtqfsVoqQ 6Vh3FLLnzEMWdMnnltax4+toYAhkVJhy80JxK7BjjALFlq4pQhSix6q8yn6ed0cUvwAmiFU96ZfH 4PHgREz3vdsKt/d1nmCTaRqqLnDmU5PG1tt7kIRCnd1PyNAY9QcGxT74IzZurqomCTeQmKwyZPaw B0JAFM3Aj7fryfQe2WxZ7XqiBa0eOpet1B2dj5hkNj0nwF+ckMAxVdzXCSqtzXhTV8wdfK0BX0aG RrqYWscDc0RYXkQrbnkNiRkFi/DG6N9sHn4qp81gcKSpjmKYR9/FHHr4AJdP0O5yv7qYFEYnjSDR 8ycH0BOLEOz30snFb+JIaDgpVYSSBjSozbMmAsnNw7vuUC8176yaqeAndd6nxyR38RuJRiJCKpsD uIPiTgaEpAT5uEEncaxPw55Pxe+WSDdWG6EfatKdSxlvXy4VagRdRghovNzIk21Co7IAUxzeLrFE hRV94PEklKVM9yA4MutlhhyScduYGJ0myIB5TVilsuudaYDxvGniRITKexjSELFqtwJTL+ok17EK PiGDmkL0IFPI9gEUX4wQvgl7MIvwZhr6Bq/1QzjxY0r0+3YICLctwiJT55iDnIEq7Vxo1Ue16B/K OHOze6aEPs3ki0EfPxJADQFeu4oSuAMWyRVzcHVbYT9vl05A13XZxYPlTTyKZ3ZfhE4mw2VT+XHH idnapaowPoCwp+MSbRU+ZP0wY5zzoxvOSF1LJRLHhE7LgCOXHCgH3+rptuAByBQ7/JZG42WIqzvh VVpEXLLUanoIMShlmiZss8rfTuYNtXQ86tUoWpHRcbJMlxc5iCRfEyGSfm1cLrVxZictqw4gfmus 7SamuyGzVRCj1eZUScP4Izr9/7Lvk6zXSlZ7MLM7YaeJ+y5EHczL1L9o7SAfS1bSiufywVqoruye DfiHyS6Fx29IwOioKoUEnrL/Wy7nGYhiAdcYzMLEbERMdua9uctCQccWYXoxID4QD8LX9RoYdQjT Vcmk6OqCEUJv/RqcwUeAXn9iPZXV5oPSms71nlLk6dBCcVSP2iQOwh8WULnd58y9X9Ay/zHRXESE h3Uh/gEO8gyReOEfHk9IKH2U64UF+lrVrVGND+rzdO2kPpF7s2cvzfe5k/buwn03xRZA6TknIm8m +5VNmh0SkQxngQ0NymEKeB5WHEdmFuqu7TZZRtBqniepm5MxJNpnI9rfK3BwhEojXcA+d3s4LBbO 7TOIctvH8v15egjZmRoub3wViNyZYG8xqmWCVG71swh0cCWfCEyOG0MPZCw66RGCrs02kH9+MRgG EJFF0i7bF0SRQj3CBi4aQ+o/6FycvZFKk1KNeiZTTPOIGsV1Py3DUkl7p8psTA4ASSO9+Pc8rxv4 NbfeKfgSS/h9BH9M+eOO7mAgOtppgIQt58kC/Wrbzl0SMqiUdN5OJTYQLzz5Cq1Ni7TeNUI+vzJl r2d/8AHVZZyLrky8otdZX2gTYxp0zn17NYE8Hf6ISCQXH1sURhSwWCB+UB82L4GVeMyIOCUif1Xh 0rizvKLppEsZ32LevaIB9uWwNlKY+C2ZDTHkO5Uokewqe6F9IZ/7w/nJaZUz3l6NLrI8WcaSkebN ekN6MnEi2+sy4HTDKyKMJx12TWiFiRrATZGiE22vu13vt7eBzW9rXxGnyAtfNNhQgwYqBAJdUbmS I0xQenMYrtPsnXkDTTPAIwXo2qepyGoQ858NfGEGJ2vIT+bR+0H8TV4T3uSAR6mconGNCnJr5pJV WIYUWw/IaJFsEAn6hdRyYmGfAQzDZfAx0BS9MXeg97n5OLwCLoKUN7XeptM8oOa0nUQXnyDPIakR TKEXG81aSvsEgTQQ/+BQVe/Vt3XsY/5e50rUEmLspcDa5uSSZjK2fizkx70Do9qHZoWHJtRlX+/O +FKKKKlI9FLLg/EL2i2hRWDpwb0dR73oaJeODEY3au2rye74BP1EP4+82b5FYUxRsi4Z2HVGLTrK jlDCyKZWGl/bse3Y9CxATUPzsR6j9DYZS+YdgvRt7jg0bJGwJpaRSvQ4K/fdQHfz1mgEz1vNwSNI 8o24ud+q+rZJE7bOYluQZC+fuPaaHXjJ0YfAW6S1ojcoG2KnJFCrV7UAj7EY7h7Xg7FBHCFKIh4e TIF3gqjfF31Q3dcajEC/gM1xsXQfb/bzlM3h0uMgPq3ZmtaWtn76dmGf/JM2o+DthE0kszqUaT7H Tz2FDSSBW4AaqdS/1ADcAQACTTb3fRjc70MriPP+XsSlh6iTLMsn+Z0v/jUitLD3Q7P6csZBF4bn ZCC30EtWO0aZWT0J+WAYfNmdOCiBtUkobyndPIMisLkXWr2P+7SHbBz2R0/Xr8vNSNvY16ejqwoN 3TVOuXlJtPeNWU+IJdHRAICGFbeTY8+e3AOJncfO+u+o4HAVhvTtUGGnUor3aKPG/QpGCOVTgVhB t7mUdvhYh0j3pfJgGnqCF+d7RC/CHYj/YFdvxADOPnDMDpp8UToIQjB2Oh9+c95qTzQhCpw+Fg5D E7sMXET2p2020V4FA25u+tJBhWqe5+avbcw0mTcX+ZpRDxJLIaVFFUBgrRfXVo/bkUC/XHCwZJab JcvNEGJ7wQCw925+owZMgBWI/LJ+FUVOGmL58yUvA2EN9mugY6Zd4Om3+C+Tj9K7Vemy6dJKRV6E OZs6JqqbPgn8H4qaJrmwT2mMauYtXON0CErrZM+HiAO3SE+kqOvtIad74b1ntEruf0n8oPpjesUt NdFgD9gTxd133e57cI7CI22cdbaVAzVBG9EgydwcrU9gRBkTEbECTRDdZyRHU9FX36XL0Eh0Ww8Y ERlxWr7HMHt3ZrxZgkdhLt1C1GHWI7YZI8eydgUFvipzIUNPwTM1xTgjNvLuXDfUXIn0NJGWi/MI PZVFwLTsPMBUF4mtPas2OHyr0xsGuiftKgj6WHz6ECXec0JNp9+vAectow7vuqfbSsfKCnXGv6Q8 UeV2Jrniq4zK7KlhM7IyW8LJR4tQD31XUVh3qUv0+nRb5pj428Df8rkFzEhKASMO/aqaPxurnTle UoviW6cSuHsnQLoRdxIs/BlR0S0li3UaCszS+2+JpJF8c9TKyW3FxuL0nD5198taoFOgIU20qgQ3 3DkW8d1AB9EDS2nNxoycmRdF4nW04eWjFLU9w6dPae1OuGTjDpwd7XlbZ1zU2n6xBetGOOgkanxs spGSRLHLDenJgVc6oUlqV9ipYCtfUPZq8LMUzuy9EDQiyOaQ4SethF3Pq3h0saRLluy1Qnx6FwMx HE3yU9/8ER8LUe5DWtg4NbMIKL9inahhEDhqHbkENSkWczDZ9Ef/BfhFf43D/2aguhGpZTuSc0lp ZPLrco3NstxlUPPYF7xZhm9GzbQ8wYeV1yVjSYyUUaNJi+SWcnK57vbJStuFNytcDatAFLrb74bS PVCw/vjU7hdDq1Gs9AZCvI5LO9DBJebVsvLNqSbyo3A9xvVfVHZ6PUwERUXW3tJIfv11optcBuhT KhynqjNw4Eu7H06Mf/1TJ3lEibXBiSNV01MgRDffoL2PGZJS9cABtbK0jdCdFb5jv+TjnWTv2mhN 9HaTf/U+3FiNy4NMzI1tcVTeOeSOA4Dr0VWc9XFqnUJjkugOOqr2c+LiljZiguIlu6krrBH/DEUk KSm5u2QHbrPAO6X/SvlOxpicLfqzbyXVKpPsRUlOxSLqYQhYbwOfhbVn8f3/EzlHG9ahSzaoDSG9 lMx3ISFMho5D4Hs8FWZdw641LWD4MI2/bRDObd1hYcJ2L4Zj+zXu1PtXkhgjOO2CRkmTpKkFR2Pi kqw9Bd35nMc84C17vkCcGtKMWrDmb/TPw5/nmP+EJ+S0Y2VYOgcHhJDp2epitvTsijTB227ZHcLw oLw7UedahRviMVmQeuIzM6vrt1wlSxsblJN7fpOXmSTSWPGPEILTGKi3fpYM/w0umihL9PSVJqks O3afEVV/5Af+B7sx6c02KHXJww0cIHyTV5vaa+HsWx2ZzzTfUmpdQtl0gZqLWmtERiyKv6z4k6hG 28qPgqIlyeMn5vrI0XpVNuZq5rvlFkJgr5Y/Og0+TZ6qBMgQ6zSwPLZ8xEvN6SWUKB0zFS8Q11JJ SqluxlsthlOou+ApbIP1wxzeeS6szJw17iqAwptgtinCweiN+PkFUW5P0g5Lbs3VKFxZ0NufIajy 5WuNmDFDl7o5grmYq57JakQT1XuN4a1h/7Dv5vRJpFZ5RwYTZVMF90BEBcMvz+F7E5PljLZPR3Sm 7mHBQwcruvp5eZhNVTlxELA3UhT8hXGu3a/Cd0hlS2xQd2ursJPkryNjlbGrxDQd4REIttsl/u/H 891qcO8O4LQ4hwnUITEvgloGZAdyQqf+q4kVsgYv4/r/bnOtwwnALiXwJnBQakTsGraIt+9NyUu+ T1mYXmUDm/AupXCKMSWy8brpZ0agdxqm9+3IQm8OV8kssZhAOOIzBorH1fNpXlPB1BhFN6yx7Pfb LJ/1ZfDPeO5p3MkB0fcLCegqwDST7sIGVrSKHhQ15MMqKt6+ehurBz28whOqauDwTwhyhUeRrYui DPacRn8oo3mdQSHdO8wJ9pfQ/SXOcGXN4Z1W6cd3GNRf3nL4spQ7Jmb1cuXPVOJE3I6mElRjidDB 1NY/FPB/WlQO4+Fwy1fBTJnQMwuttJbWd6mmLnUuGxoDtJxVqgUaLqJHSHV0aNIEQoZjLkbCKafw cF7uE2o2bw63l3E5RkAjniB2DR7qdvJtG4J7MWkDnOHvLjpHAR8TCnvCtd0W22gWTSDdOdJq5m4t BCC0wou6qhNVrWqvOwse8gppwR9TjALbMj9RUa8eUqN4wHeSaomI1DTZMdtEI9FYK2zUFw/iQMfN pG3WhC32xl2Oq3IsrYSe+F9tzde6zrj6Fpz9qoTspEBRBIEDtDHeq+mBFx+QivtCA3hJ6cdgbDEe Vv2FqA0EK/lgAsuf3930YaBnHpBp2mKMUMq2fh782n11HYF3Lrg+Xid82aOnAWILhfx3iNaXP4sf h2cY1QzKhqZvu7jqHJcm3T+4+Dzb3YybPhL6dqAUsKUmKPCTcsBifnuF6N3Q57kUuL5+T/IaMSq+ yiR8O4O9RYtvllPV2VfLUZjJomSQ/osAmonrElXAOLRQtP1etOClE8+9hTVLJYlfRTSA2KiwvRLA 92uKTnbLECQYfkrYvWFJ/AjYJnVjrX4iWu6CsZVMr1Hu6D3Fn023Yw4ACZvFhHlV7G9E5WD/p8F1 0bsf8sMVfDRZHleM9zkTgIhSqsbXQkUpFdtCdLYrardUf+dLg+P6I2NYR3qdyxnQm34GAna9kkjb +1Dga2BE9pgjar1NYenZdGazV8bI0E0mu7YPR0to71S4OsC8bsUu1QyfiN4mV699kgrktGEqkLIy TI4mFCzUfnX3rW8hB9gzufdE1Trcv1Dcxhs8xT6MNfRRct71UzVXxJCTEtl7sDaHQ+2lGdMeHWnY y/VfynTdZlEaWS/tda4Hz9EuSlWrUFQljy1LsrGGNSTa04eFFV9db7V+LE/IabvGXhz0Ap4gSlOY usSznAVSCuUQpJCPKkScwBiCw7ddvi0Bg2PdcLVhPYkL9UVYvNCL8025K9VwTksq9ED/yMlVWZ4G +OyyliYb82Ig2qYLMztn35NVysCN9/Zjgl76bjENVZMSRrhkSUyU14wyEiid6IrEdRAjLZYvwKrp qayP2A2d/mzzFKtzn/1+0CS608i4JoCCsaGpDhzMrviykXLeEFva+2v4yilTD3YVlJjEjyreYOX9 eVXvlCyC7LMwlK3Aa5YJfFYYwFxgz+0WZDPqKVDXfKEZaES71K/iaLusSaAgeeiQLA6uVq7j5u3H 3uzxt9cg5BW6BoAY0nbqOPC0sYojeC8859KtCE5Pty4MPZ9dlcwPoOydvULljUbcPfSMS4LLV19S LuXNuF45DWymWfY2ZhY+LAwqSDDy4EIQcdWaAL2JKIfwIxLKuCssJdqPadNSSFult6vZEK5uyhdV omP+zu9l76ymSoZYjuw0SkBBDlmVNvGp+SjdU3w/NtQVRP21svdmCyKt7Y0DfJW3ebIoI1eUPiFO RlRruw+LHj0tvuZC0vL+Rvpsuc3I+Lp7CDg+3+3PtfmCrUX3KCoBCzIPRIs4dRJOv3mkuNThhVbT G3cXHe1JPDaDkqPnv5KUa6F6ZkqMkkzHvEyB6At+RyPwImGWBQNX5Srr2AwCP3bY/YLq50fKSCan KuCfOR2v98Hl+D9R2h6YRJcDQOuWUI/o3/b8f+ZeL6LzSIQw8BxVOZPQWyV0dbp2QU2RJ97zfzAh fMmiw29lJhifV/u2i0/gYuyENn7vKLIi/1PukerHYmW6MTkZG/54EiGaE1wfiRiyung8udY4C20U Wu8D1+kt2sBbLsj3n5qCcJ8NAFJou5u2gn7zNmcFF18M2gBbG+MN2Q+jOZqGKJNamH9ixLNkNvHw tf9q2J6OwoYckBh02eunpch68PSZy9KnhfUOKHVyZX8ijZ7oYYJsBwtM3dHnwKS2TpsQ3YQyUoiu /Es4kKPl73duyZfkR9J8AshiOR8wToykxTyYAHpQtgdZo0ppllHvO9U4z0vDbqg3rIzqmaugcFML Z0fTV/As2EXvYNTw24Hy8HVOXxkqnz0MZZQugwNGlDE7IuwP4B3HPvFTDViOxJZ/axLcyHWEkA8L nyT/Xx6CDrGezvq47JFVX5iCWnkaQNmceqAKVwMVHR8e163/dDiboh1QMyfTghCVwT1yvfowmNrm BcccMyhwIvntsND8OBTCtIXW3THotwufiyrouX/Uv/52w29Ss3m/FZ+SYtC1AYP9d7CrUkJ+z6SQ ivqnyk+0kfEcQc2iSqvT3rS4w/eQla57aijl7cYh6zPy5pkneqm0g/vY6OF9s68t7DwoWzz3Ery0 t8EUyHpWgID45uDBduqnTQ6dwfET52FdwIPsWfYxQfojJlb/lr1mU/CLf4Bo0mcqxuiakCnvK4f0 /16uxSwVtV15eljDS6AjjtgvTC/rHK/gIukN84y6NSGbatEWSCLulqWyxOaRc5mfcFNUxFin9kdl +km8s8ukRglYQwuYl7RbhSq9TH4eXk9RXuriWGq0IsbFbZl3K5tk3MuMwS/w8bSyW+nb47UvNivj fmegYN5rvIWrT38FalG051R2/LkAqvzmKl11x+2+kQnOV8L+4iJ8/uNZe4GLjunWEeJgZeIIZDjd L6YgqXOT0mayZEKWrgAIMRF0SlzYrwo2rARNNFSHFsXPXrKnml/1R1AI06ZKHc8aM7frk34r/kTd tnFCgM0/0/HVS8n5SFMNj70VkiaOU/hM9F2eWlPTUs1ehD2G3T3lCaTPF8ovimSQbMLFmgPF53zH ZmHr6yHYo4tiKwprfqclif0P8SJn0JQz+7j13JP4N9+nNej1aPPzm4I/gk3s27VPNK6StAcTxRwm ESWEnMtDwU7CtRrTiVflm0SYVtASXGO9rcYI+PSOePDOXUjQGNpSxu9rH4hB8ZJjKON2Nxv+rX84 m1W6e2EDyo0ihOSygwACCOpHlwUzuH3XiyIspJP/p8GJOifhdYhM1flCCAQVfa6v3nRBtExqQxXH S1Km0r9+bhssCCQImuECKDWB2NVQdi0TM7UXQiVTR9mcDhdZxuDEBWxzPTYz9Gwb37+OeV0l8Qgf LYvq0QzBVzSxhdjfHPtjnKMmbkuh81Vv+TNAh6M51YVh0kfdvBApBT3Rq4Tkmb34MQbUUiy0VUsN U0kT7cvHsMNHWVTT8FVkSuo4VmBmuxOArN+pM63LAcYJvlFqsmCLTvpmUd05k/QksLsa879pBKdg 78YU0PMuYJg6f82F9pIw7wy+g7iBCrLgY+y6C8NaxYT1gdOZqCEWgXgd7iTb2vTCRYNLN9LiStmE nm4jxt7jBfAuE2auyXG3K9c01F/Wr5Yy/7h0IbbieqgUd0njUDL0k/lCcGe8PSNDMk+qsktrhWO/ JWmo33CELGQKDolEdy0xNu+W8sAxVrfwCbkWDSQpSCQNb2BfxSMYvDRA5RUaSAeKrl7kHeTvGbd7 cPSW28E3p4WEXIGVu6fNhVjvs5D5ROIuxQnqY/pFjNdWW1/514DnYv0kpCWI52fCxg3XqbjpQFuQ 0ZjawsEPFHNe5T8N5tn3XSlvRI48CnIg1CbDHPISLm66Z32bnplFD73Rf1Ck/d3XN4Iv4Qjjzk/e UHMPrVFSGuMnH6bPj54SIWnzPz9A6SQQ3xAuA5e3VUbKskQqdv5Uh6VvtjPCh++zPamssVqWptRP OcrCa3y0Ny/MuqfS/MTBXd7YISQZpzbJLn6Y9YZCEK9qhbsBRC41iTJj6WX9fUmEzzMeQaWoEE9b hYvaDsr2YpOwyxxkPCx5CuuDENlWrTIlBcUzTPvW0eKdon0crVNpt/dcROIHQD0963w0CztJL6WC 2GCf4h0FS/onOk8rj+Jq45rkNpUCVI4A0Yg3hZq+LEhgHPqVxcCqnh2dMySe0HDxJfif2SqrS4J5 i+XJ0T6vdXt6fQJBIn6UxJvN9caxzyHeUXR+MKSSTwVLt8X8H8YRhMx52uNMXERz0vLeX/RagoRR IWTNMP9+RzEzIk0C1tUHABZIfwGC36JPTVf7RtClTr47T+NRwTROMJ2cQ1h8XKfQSmxgQmPqhyrQ 0Qo3dErXmY07DRyjGOLeoNTUYQDHZ+fDhzMEkhGdUvp6QdWJhwnE58s3M/YaLdZbT6lvytWXLFmC RktBEFBbYZg4N0JJbN0EPeR8x5AYpWPEy7ax1oCYtYAmmlUKsPsClkkVVvpPhm/HDK4IsE80X41U 9tf+tMK98XXwpxKgEiawwA3Iu/dhTaQIPBfOiGWNzDxevukrXP9Sw7aqij6s5LzM2zhnAofialAp O4XuQutkSiGJZQW76qCI7ZydIpS66rwburkbG16vUR41at4ws/FxUYu3nhoCBIqmOD9+zP67ZDjq Sf2i5xtyWRHfHwvoS/U23fs2SfdYoN3+WaFvQBJtR27CyejrrxDSuV1wzH3XjhcKLvD5Majb5Hjn rklp5UmQ1KBhlBOBgkTCAipKA8vIfM9DwxtYKHhjeNrXGJklbD04UO8OrMSLxEM/N7V7f7CeBiUI 7jCnyKOSa2xtE/OvgyV/JP/TyopWAE65/qSgUFoTPfeuqwNdbt3pZm8fnAEU/1w2Wr3eC7d0bRRC ixSwAY2kJlFu6b3s/ZOcutYM7bgqC1l2zj10j1+ez8hLv7UYsnBjgWzzjeYmdSfWd2puCav2pJJo 97EJv+zY+otUM8ClInxmRGQhMMaDA7GES8L/qSWF74AnfPWNn1+n2nD+6Y2zwtBMKHIX006bPUr9 JW4DXtxdU4P3/QOWiVkB1zJF8/6Mz/WSLd+G6uLIZrzPWjfHQiN5cbgKwehwHJv5gpVpjiffGSoK PDaIvQkFHH3SDoyIhAb/9L+VrZk9RmiuYZaW88/vyoPHEMs6Q9hzF3iZslgc2Zkd//fGb3fFZ9Na O/onceTjuoQpzcWnamj9uJdees0jzplq5/i2G063tP/wgea+H/FTeTezzB67XgSmCROyzVrzDs0L ayhKkSgAYCKmnkGERId+SGEIpu1Gyb+5uYS4XNj/sYtxapCP6OpeeHuyh+GYWqOOXyXnCzVcMMEy CYcwLzwePw6d4ZW6/2ZfD/1uXTc8pXecN8Xw6BGqKTBOMRUnxtAcz0YZcsrEtdUhWQkfvHgK38cj +wUhq60jGQugB+Z1mgEJoqkPbRjc0/uBIO0kPsiRNhEhg47326neizVO9ElhnlytW4qMHv9e6r5g p9nYPquChHOVUui3O5KLyrSHC4RNgXWzG2mKI9ArhoTgWtoKhvob59ebV73jV0Lhn2hl0yoriULs LMOm9cuDTyzcNr17l618heBJTldT02Y+lIemcZtR56NIFU0Jh6XbZsBE8xAzCYj/JWm0VovaLniv sQ5ljhWOZqGXRO0e2naML4E2J976in2Y0EjNJENE2c0CUS5DjAlJQUV8QxsGl2iBb8owYamFycDr 0AxKUvH0BP9k93tGP/7eCjw2Cykjl85EAOzwraKtT5nl0lKn9082xD5jfuLB8z7deuWKZrR47Doz v7PyobusGuVyv+NXK1y24wjp+4Hjfzzr4qHJDf+RMlHYWEIaRddjXgWSijEDxF/f4+v2tsXKPAIC MHL7/WBXxkFkdGd3cP8qxxHn3DVFgc7c5vHqcSzal5e6WzXavahRq6wXH4PLoJb56vBWMFfI+0tV IwNsFJzky3OAfk3Dd2OTX7dh7uFFXHjAiMQFK95vFZ5hO8S8tE/0SYE/LFTaTx0yDlSjCXz70VtM ujR3Aq34zNnzDy+JSao8LmBVNz/I5ThOPTXQfoyu3tR+X0mU1OrNnMVH9sHr0qJf4e++zN+xEGqR 00leb9+7KfeU7NC+i6s6SmnSXiFFTzelYXw0pCNLEbGzLXzdxr+Y3YDj/cClXBqkCZJ6lLrS2K+U JmGSq2ZtKZS34GTedGJIfRlDuLOxEw+uvasZPg2JfTPmI6k5Mjy/GFSzrU0a9ZyEXBO+VjUi49gr GgUJGIx4jw9GPginSzpMvr7tYka90wo++xoKnTQAnpLNTlyu9dozgFlAIZouKA9pynxmGRBt3TQ0 ZjRyYcVp/K/55/X3aKprMIEWxy6KxO3uHNW7SGSSOh/BEA/TqG30CjDSuvK0VncNJ/P1S92JVo45 sDlRbx15PEVjhusGTtNWuj6S89cudAQ10h52Elm2MMS/8dhQgxL/fJwZj/bVnye6INaNG7Pjfn4S 0cHedCRIyDQsN7Y/AaTBpHq5HBegh+NA2yu/9HaoFLL2AFW1aJfaAzpcFE3cGdrZbBAQlTWTMtjc P1JX4fZd7fzBGYVyIxHRBuAUUlEXmZ9MXRWMqOm8RWq42BCkRAY0R6TmvIuXsCWRk9fToqnWreSb Be8FRc4Xlp6NF48A5MhXho8qFsqO76b0TJRB1jvIbkQgZoigb9ykInu9qZ6SY+ZldojpFOQboC2S rxs9uc+krx33+WXueGs3RLBo3RF6EavavnHNiFr/5Jma2wBTAxzbF9RWx5IjH5hXX96+y5LzlUpt vu3C/MDGTWxVGBOm698EcdADijx/YhtfwX7Tn9KKzd04A6Qg2udEdDTbr/sFa4uyehigXg+VgQdf ubJadczlmAX/ZAURqQOg/eyH1LEE+0bEmmVij32mGywKnRb6D38aT3YxInD/MHZmnN38QaBzhdte N4xPwzseOxUbRiH5fbZVQT194RAiPo1+lZhbvuOxEwTg6foNnRw8se/AEl9Zb4E1sLq5xKFh/6dW Oajp5rhOo1Wkpmrze5Ur36twNx+uw8uVm6IGdFd9kVPPO6pQ4FZDwb1a003ChpVFujGkAnaulsS5 nPiEVYYMS7I+ss6dkVsHd1MndvckyxrXCKjmuPU9bpEH9OI5KRlgo2jNuRTPJe+3wQsfEDJSq0a8 lA0SYQhe+YTCAwHhvDMIEzAe0rjv/NOSOL/lry81XGU6vPS75hIwBljqhpOcQn/VWn8jHtPQjwg9 97ZKewk+NGSZsWUAqFQHUZVdRCDExqZpPTBdqa5bLubDdfiVrAwerhVhcW5zNcAI/3drtKUy/KAB 7OykSffQVye23w/1qM9Apwani7Mj+jKxD9es0E9HRbg1nKZJPN8vwUbE4GbGzdT/ioxHjC0gvspz jFQliKgrMIMKBEzTj6ZafsPdBoinlv/9WZ/S5NEXjL++iB1E35tmobybVWmuqK23Jv4VFB5j3/4f e5WH7wMiyyjrhm2jixabiqxQrG23NwvjO7pfUKxnUjjvyQgJg/2VkoCMX/B5055O4aVMtlqzSR1r 3wSA38tZprPTxLqLwLXuLf1vvGOApi4KRRSVgfnAgqmSxUHb95cTeICv4uBBrpbLDOVccuJ76M9T tsa5/loePNWU6/SKnOoW+8FPW5ZvTj+CJheCJXKBgj2r2Zd7UzdSyHMtXG17P+Sgr5urxlrL80td rP9D8PVBoqCGb1fKkiCFZAaAlBvZ56WkMCQuIsAYIe6kfPBhUGCcw1K8D5tGFRNwVl5/5My29N46 jJswH9e6axHdYZHimDTJ2NFWxIIB+ULlZSfxBzU+Xi/UH9kX1jG5XLNSt7TS+lputPn7p75G24Bb tNWQg0gjDNjCt384SPgy5HRt8lI0GjFth4NYFzZjyxCOYC/mFyIb+zdkCV1dKx9OHdA3XhrNq3Xe ggDJKmnQEwAfqsnmncMSfl6d7gPSpCnigvFFn3SKp3o14OMPxGhKKEN7LiCtYTe34Q/0P5eYPsnz pzA8YauUudXX5KiuNJm5uFTtfrE3mmQlWOOpfc2jG/AjhyCDJfYcqNEjW3iIFp3YHhLbwtIoz9In Gq2yQW/G6NVS5DaVjVAVt2nJQ7z/N6vMIRJagw59bHUZbSZh5vdP4D0HdqPzGOIj7jmN6c2mJHGT an5X/scJNML+v4PXSRqc8yN7diodKsry3AXeufOib/Qw6gq5MfPOeMsqhUD/EmDxHTdYhBHG35lT TKCY4DBHnfmSimgnswL2UPzcJi2Cdh15gTHI/HI1DNDgIg7idA5c8LGX2DgFI5uw3qOHYf0PtQ/Z fI0IHsz7SnpZgWxkHxEXG8mG+Vszx12M8T6zlCdaaSiR4pDhuazm9P19cE2f+qqtzjdsUj5XiCuT oZ/rNvJDpGkU+yOWRBaJ+WEG9q9VKch2L8lrqdXnLh+0dOH8mopgRoNkJbW62TBbXEjc18kf1DNR hKCiTjuo2pl4vt2Nzf0Q3RV6lXnLBjbboWiDIQsRX3CF3L7suWn8ie8oW9eblawMULQ4vbblMJBq kcn0+rEiTxau8zMgCaCKbVPDOfM+Rwv3I/U/rD92Mt27iQGOz7ais5gWC/eUGAScpeewXRM5NtkS 3Th9+D2+VZCioLxSa5y6ibEl6qxMzl/fPtbnYG3boVzHHghrBTXY4TYRS0Frb2nBD7GiTKbKTe1C uDXqj7+GVDiWdeHqF46fZ+Ob6/pwjWsY66aAeWeMEMS+jv20jVRLI5lsurfAkNiWYBgUjrpFI9FL hthgsxftJCytH/MXtB00xJQY1HXCcvYa0vOvYxH1D/CxrBgG229BiqsJI6D+6KCTKKapctQjT8tB LdyVmmx9maS8gQISvcnzYNxStwxzYydMpCXTl+a9V/EUd8AjlDoOSFNkt2gLyr5rIgc2Nu5VOH6d qUnwtVzF6vtB1sjVPYUSfv1lmS5ts3jTjvgOKeNmjn4AlFedeiVl/pi+daeWUmSIQol1R3HjLdxz FcuodRqZllFHZ+XzExsPFxRNPRGAj/+tkA553aC00eqhSKhdJADfUGmOEmMtzdG9dH79yvapm9xa 2YZzLPinpm9bmixMeWfrS6v50WTCf9rcXvf9RMnP+SXT/hIBFKVwx/6TLgcVgASmbL/IyMSUS8nO FkY/FSe2RjBuK7j6nZb/NgckfBla06llaYuwCvdHChsbFfBHFZe6+tWLrd4o/98Owlwii0m3aEzF sN9MeSt/tdilgWEnAYRShK3ZpR3l+vyocRBG7/SeahB2yQ87Yc3uFXEn+QFHpNvd//gagf4Q9Men +5lf+vCv3Negr/m8Dqp133iVM5/BSdrGOzAHvc4V9OOcaAeaIywxVqdU2Db0y07P/3uHJjkYS9Cp NMFrNQ8HM/R1uWYEj9mS0dVaAXGnlhVCo78SqzuAJG4HcMiN2LavuDvaW/V5QIUvS1pVeT+S86qR aQSMSNFIWSu7BcxoU+G3RAZVKOYEq1GA0OYWJhgKYOgyl4ZE4L4Y++1wSqLNVrX3+faNQiTnDDhK FNmFO289OqRVE0kl2yXsuqgK/adLhtwnO5dAZ7zbzMaKXw9U3s/TdgBzokAvt8UZjpRd4O/qT05Z P9EIRr4m9lo9R8YZ+MmjbQVyFkyh5ASDdLPiJDuQC7OJCfahx2WMER9Q8e3LP+cDKMFZEQcxy3a5 Ya3YqKrQYzATG79pqpQ4T0sQgmWpTSRUiJkRInKsuSNVJPXfcalrH6+QoRhhA0eOA+sa+ONtjakb 0l+VKy5Bd5Q63lncWxl0LEG+JuyT2cvANyhJutz56klQ2LMFuH/nf5IhaGKDkmkfCU378ulY3sXn cLbJ7awfzFac8jwXJDCslB8Ev3DraWIqP7Zo1XR/tuMGfqIRZFDE15QaHU35qbs+zzdOs2hT1LIM IdKl8XxREKUzy3aLjlS7N97BRhKUc0BZvuWNYbAjyigfTSpJ/7xOO4hsMTIDFk+r4gCQIHPF/W89 WKwvqSBw1uognCHXQF5b7xm9a+NcWZ6FY1MElWbKROmeWcqHDxPLfdSZhaHMtcjIDK87dU8ra79A ENnPGF3j8FR4IZPB4ln29G2GQ4cu113PRN+hdqfplp13rVuvavvKMiz4Czuud5W3s8N76xd4e4Q7 oCGVRaU7PrnNOyEb2UjFSLL5T0NgrJdyZnjQTXVqNU4RdkShiEUKn/UOXP8tUD0x6lzEnLkCADWZ Is8n2S12pxeljR3QjRCWWEOLtqjYKfIgah6p3YtTK2ApotLn/e/trblJshEUyvQ+im2Dnma4+gX6 9Rh0JbVumVRbN/sL/6qvGLdBsFlBVXXeKGR6QTkFZ3p6yfydMCQ3bTgdiBF7y3b/JG/AXNOKewCI 3VO/skR/utmDz+EvhmtTwX/FU7GSX4Xd1EfCRfbyAKgO0QBVCVagD9vgjJR8NR19UYN2835Ikf/1 xCtcpvBWkx4HqZ1Me4MV4iiEa/RXMDd6Mt9czOBSSCwqDO69is5yz/bUFdiVvtR/pjvjy1xXDbn4 IG7ERW13ak5RXzEWckLjP+y/bKa0eVkh88tpld4MRJdgwTzG3dZpZLedpbd0+/DzWokgrDB9Xm9J D+JOvAqSDephthlfIQFXoN0j7usM/+DhQmRDw4g6ee0cxD2ZKAY5WQZ1Xo86LTlhywq716WUQ5FA VkzD04s77CPiF11HhAz8bJI1WB6rw+Xid9lN2bFSb22LcmDihu0mSOkMwpzY63jXWknijCvllMWK D9/qO1B2TLwGZOziDT+zTEjmcfNR+0Im4rUiDES/IZTwZSktZKm24xj309Pxmd1t3IjzoNm8PPZX BjPbCFU/523qoGWgKVp/oDeuSbIjsxPraiyzWa1PyJVnKquR7somgTHUNDSKqbntIXEkI5ATzznZ ezf1apcByROlsNzZIpbIa377BhNl2NMTxYd6P5uk5qbITtKzvbMbr1ch97kAN3TrNjg9C9MMA8jC zLhN5fGFxkBzAjfghMKLQObvbFNjRtLOO3eparv9pUdIVVW3bA2/YwzrK3FX0hYZlZ47uZS9yIvB uzNWLtr7kiis8UOOPlHPbMWU3ezNpu8sCsXT7t/nKr2xYnFsyVcH4JitIo8txsclCvZYzmbp/de+ B+rPt9e/jpttmd3biUN7/BdFf7aw5tsNFpRurEyFl5wo1//uaCsPAcrKf0UWKoTQpuH/uMtXWemB I+EAkMK7AEo3b3UierCPru+k0JEg92MY2Dwv/5ktuIUidZrRwmCllRGxWLIKXb9EVD7f4Fg1LWoY KlaFFRriAkAoG2gfK1Ww0gmxIaUmAQwFja4RcoVOCajkmkkyeKzllv9vE1MY1nsC+bNPd4vqdzpS 8LlFrYZsqZWtRH9bOd/1oTLNe8KbXYTbqJSrShcPX8xunvJaUcwVAbh3eu4xI83puuDPl8zv18Jj E8jRsB4GP9lMeC3kSTpb2zH1iCXR4zf5D1jEn39rnRYzPqhdw8Nu/qqaRVvdGLY0GtV7OH+Sdftv pgXUnv+5et/P7SVswGUOPS09pDIjvcw7G9yjdx8l98OYLgOerzQ4NVVUsyo7mJ7dRKsjDmRiT8eu CSrHt1OiA2TQFPIouav4Iot5fiqJkm6uAw4jC04D6gr5DNxmVItRFR3oqJnUYgWu2lzGoL9dDf0p 5pSKREgaz+oYVHs5yTCxkM1Te2e9sofvUnJqNWOMSEL6mJ5d8FHogz6Vf4iUc8mRiV948UwZBY73 NVsO6KtX+4aXtCruZzu/puP7TUMhlXgBmUKL26kWxDxUuW02ja5xOp/AYohq8mQYTyPNlmydFfus K6K9c6U5QGRjF6tU9qyfhoUfan61hntXwqtjSvW0hfbtit+om8xreyGJahAw+jVSnhN5xxAaef7H nLVJwusfSUDUhNthbC6HK4beWugh7Y3ZIadMgBw0gxjpYWN/poH9irxK8WS28/4RHqMJ2u31oaQI 0z4maeJYG+GOiPMtG4KwM2CqytXgWoDeyEuOxbszLEhtii3gnLgMZdBBaI5EdbToukxTqvdtQ/1z HMtQpGHb9oJcQzdNyzFwhtUYNzcpmUneb0OcEgXJ17C37KH0ZTH2EMZaH+Z6cGrlljnxNuzuUdM4 bDahV3+ffGy02vzoYJO1+3u5UzKZ/PQ+mPR8TxI5I+pKlkK2z3cMCnjtCwqBHXRqurQZiEtD858k UPMYYXBVX0Z3b1MHK5N2Vvj2mLGbC+XxG5k5jQ8PZclGcIfFtqtlpj7PNk/22fELq49MmCFEVW4Q uKMHFhccBuBOX5otHG2If1kdP/fpHdGb68rS+8Ab9gq8aPeZqECd2X672kT1UKceHnHL+1a7G2Vm rQZX1oGGkPDwTMuRd3HvY/lYYIOYH5YlRZkBH4C4c9EXZ07i/R2S/19ZBlIvSoV7kSxII3DjB8JX GdPEzkSk0wMdCNndu1A3QiTCrcvvhDW4bhfkVGNP9Tfq9vaS8BH07wLC2GnBZ5/y9tDK82V78amD pTMhdAH3nP1OYDdqhCMwVmYd1kwf24B643ZKt6OgAp9Ps7s18+/UYlJWrZo6qVgwwurq7DHEu4xw 5Xwc72W9evJEAFmwEO58QhaHFzz2hYKasUK3YVS2sQrc8nR7O+HHUF32OR7rBK16gM0FUGi7wXc4 ys5Ck6khTj8f7DhOqui0uWpNv8LBefSDTqHwHu7RFW2aPLSAkb6GXmNWxPmXqmKB0ptO0+rjmO7a MR0fv9d0rkMnpoekKEXL6BIbBJDmQw+wLPj/MNR+R7Kh3Y6tS5ZWi2DjSjGIS6U5/NA65v3Zju0D Zcaz5+JTOeM32dsfEK8XsWQjP9HQYLbq8EfmbsX6AtXPRoEIWyXqxH9ssCNZZiCpwJdkcjW9sYVr 0HOGTafvNZufxuAm8EzWtPwKbc3qNrhe8aFdijcXdvywtci+4z4uBBSDKgEOTDyfWRqYx47I5MsW TZvkv7/rf4FOHPdgjXfWCTJvXlIOpRwXlxcG7igUGSQeTglH7C2kd3Bg/OliOrpTKljuyJoGhYYb sLYHA4JqDAP9eQZ70QwZ/d+A9jpkA9fbjivAAhK0NOIRcAAmi7bnDMVbd+LVNQZ8YihB0DhBuGkE oDtiqvQR6wzu0WLUw0NfE/YVhAqLRQmU+T7yeC6PCfTKMdOdVcubw2lFrORw7nxR5fFwUNagIIWi SbkJtFP1e86EFh0fs+P9WI4sAZQCw3N4RAYkmz48VrEU4kNQJyRbi3eG7ED6XeEuYw/X8CKAxGVt qzUgx8gDbaBEqwkyV7g+nm9Y2MFE4uS8YyFjslgp98cIb4tew60lvvO9UI3xfb3fHhJXsZm9aoKG q6xKqW8ua51MgBOLFB0P7WE/5mgCi3rQCqfuRfhya1ESJYpLF/XpZNZqvEEO/R5GzT+h/G35AzHS MVh+ewvhVhDkLDy3Vb1KAHxF4kOickdhhQ86Qeiroy+HNk4qsIOgZoO2sKl5+mT2fv54g510Wh6x neqSRs9dlzHkdho9zNKM1yfvP7o7zGEI2gxz02zHa+eKyEdaFa7GJ9YG+N8GuMjJuKbYf4xzaBZp zjXYIatJaIDC419rjhzdhqYywxZ39sD6x65FfGRislWASLHfU4XNak1c14c5LBDGh+zD9B2Ez4b1 +FngNEGc0IDT6ezMSqBvhNLuhga3EMgLWNpWd00XLA6WzfQATjMsjXz0sJCo+wNT02vGMNpd7Hwv NsfSgEqJN1gvBqMinstleR3GArVJ5zloiphK3qeMAZQo+8JZMvUwG4CxS6D5FWOSWVBSiKyF8kOZ +ao1WUdcIRgU0NpWJ3XEFn2ZSXFWrkmmckCsgCQXORYwdI3Sb80JrOfR8Nb2ElUFmA6l/Zh+g6xQ s0irwbo/k+yeI7bMyCMvNurD7FQPVG/CmdrgvrPpQ0nw97ZTkXIzTHaTGr7mSH20iFQvZ7bY9OHh IuxYaeuBVc8xpwet5SW9uUcHhqA2Lg+9OAIA7ut3TbjLIzPQ/DOXgcxzBnfvSxO2Ms9YG/o7uhED /wxlcU1I9doZ3Kcnpm944q2ShHeo8xo+PPri/QtnVBHhooaw3fEBBCY5kXNuwrm2PHFiNh78hW69 yHmbZgfs+nrcH+5T17kHqAzq/cso3PZ6bb5PWSnzR4bPS5PXGCgFW0OiARmI34EIzstXZit9W+FG Gx7xKryHgvdi9u9NyTR5dhf+tiWlDtwE8A/tDw2wlo5XSkfajduoov/kwnDRXPpzCaDDpsEzzujF Tnz+6rVgUW8P3VngXcfa9LYlVAmeZiK2FYCJaU94RYEfe0KvNO6ZYCGL9qS4oYASDdRPqsNDLXPo bwz6L7kxQkMvA6d5vM9kzKMlbP2Ip1pAL+Yn5nRS2t3csfvclC54sSeg1TK71Y4mzj1pq8gFvSaT 35Ls++d3CxatdSeHO2nSY+PXVMX3FKOvBv8EC9dukY8G/tRChIK3yTQMyj8e5XTD82IEAZPXSdw7 /qRjXL9WaSsvALTuyAOQ7IAQDKYvHKb4jmt25fN5/g2pQHcoUsh/pG2GoeUmWnDAugeakSaySKJ1 isQg21epWz5/4hU/6B0J/y2gGRXTAUr7cKGJeanHB54+9fe6CO0KYWhkIGmWRcvMSh5OW9pXED/R PCfoJj2/ygqQuJqi5BzQ5SOnJzEOpxToYuCVnAGOFWy+oLNIrPgGGxVnr5uJFCNEZojP9OL3AhM3 yyfRogAe1tIBx5hKEQ4C5MmFKi2EjEBtuBf0IPkTwba9aVZonldcKcKMkO+9TZBSCRVHsR8OM0Ds SDH7xFNuxP4Q1ZQIqHx73Yh6uevLNvzlgc8S19zLLJdo/jQuXAqF2aZ6y/OsiNk29Ek8QxIoRbW/ 3Yyw+js2lY2vl/De56mjz8pI9+CGXrS014xVLPWHFnLo1F5KkYuhCcOAVT/7IK4MS2nvOrt+rB4w smMdf2iWmucm39apKso95g0OnjnVyJmiT1xv4ibCG26f7y4FtUD2s9yj58A2Ng/vLZcfrBcujWtE 1moOeTRSK3s2lZTfLgtPoWTmlZqFEYmAAeUGYzw7KjNAsr3VaPsXeia/PnWHmrWPm+RSGcDPnDsH /W4rnPe2vZSsw5GaC5/rjZ/d+2N2xASNvYqxPaAv/9NgbmcoMUFimlgnTzYUCYJjlbzkuW4b2d3o BU8/wxhdH2mZ5rtYlgQXTXsqYehDnqKZIBd3E8jZrJ8p9W/9/Q60krZQMapofEakbIw1Hq/FWsPS zQvtMyV43WzY4oDmIARC8Q51ZSY6ji+vJY2GBQteK2ss9Trnex/5dsmDjbsQJIGYuJJDvT4NG+s1 L7HoAEVr//O2JANhOIAfUk8fSUZgdbuWZhe7P24MOH0XDyQ7k1pmJwWrDpbd/AiuseUqeZk4MJSy t95cppDiE7+aPY0C2h7ymazHGRJzfM8yczAdGF1AhB+UbnmjoK+CvkSDtdOucsKmYLsyfFqJa865 tcOzzMzUZjKaUaaSZx3FDggDFvrDZcIiG+0IJ1763gA1hoDDo2YVeOt7WQ/ZEW+sOxridMoHbxTK CWbF73FhC2H39Eh/Qf3AbMeTrf2B2DaYYo0C4zpa5Vqdz4NMc3A49RRzqe6TGfclkg3R2BGShXFs Bj4o8hlt48/CucdkvvPe2NLb+xoj734uu1spRPhf/qZj28gIjHbZPjc81lb5XaxG4FQi/7T6JHLs OypuDjuAMBAl5i25JPbkDeqv0jSTcgldrU5R+qqZ7QdXwdQIaZg78CB6U+20tJb/x33h5122x3wf flgTNeojfY0FE5ihcfDPBeYpoQIq1eJNVuRWpANiJ3YuYBQwmPTyNx85+dZiYSqXmuTFsFiHhnpM ABTThSxz8K24NEWObxr92R4948YGGBaholAvn2Z4EHzhJzm9QFXEkA8G5M4dPyn/tchE/HmbZG+Z fZ9OMANdvevj3MQ0yFf+Juvl6jtPTOVy2Eaf/fnUqetXHGINvnJRW/NbdVC5QjSyM/TECmI7Cu4x FwLZmNs0nFBJdVsnKSMC7r36Ftammcr/vqKBKEMrVpONVDp3bMojhOY1whPKwMfIQo5WJ1QkN5zD mdF8W4mc47A1tlR7kdPpzx1m0MpBEhsqLp52G+Y2zNc1/XRVblZtjlN4wXLcdwx0Guf92xIDhv43 B93BbsG5dPR3LHwQgA1wLldpjmn4YnAQrzCgG9GyhBCpxQMWCCskLh0AQ1TR2gCE2gbYKC5nzXqZ dX0lOBsNACFX6Y/NZQwh+Nd281N+hOw1nxQzy/KIz/M401fgcyE1XU80QTeLTPA+wXeE3jADuycU wyp8fTVZTit7FmT7eot/Wker6L8s11p2sM4w/yJYr2YqSIy9rROSBXAtA42st1zOPdVYJRfNiuM2 rimJWAvfs4BUP53akVZX9gTBfQgxPn7id0fgnTipgNaN2hLhh5YOff6pG1jvdLUvtgJdGsDVVvvt noNO2JedS3NohbBnk0pUoLF83VAHrT5Yi5vJ0jbmgnwV+i1tBDiCbS8xPyFC1/b6rbnrJz87n0Or XrCjhcukh/AaVzWIEypkIZsob4IjdThP1EeO9WaUmkljEkj2YzaBxXUCeADvdBLb6n0niX5xyF0u q3BZFsNhKK0ZZ7lxMnxwDigapg8C10752Pnoj2Z4D5Z8wf2F+/xZhb30dmdFQjlsSVNAzHJLlJ+H AWU2Wqkw0S0kmO7apQm0BWlxnUs5LjkQFADLQGT5d836UhlxniwlBtYhXEHZufzOCA8enrWPLZyD qLe9yggoqfn6JJQqznscbfCEkVs93AVoMMy1ETPIKdeSwIUZzaRESGmFQOCx1l26oqk6H8pKtufN w58cxxbNdvPg/53DHSOrCkw35tgHzXtawBQAtOaTo2LPcDTM2Lc2p1io4qIAhjezNj0J8S3hC4yY lgLv4HjUR8I/gK3LQkEC6cpPdtfjGIawSINI1Fn6NQFAq2tEoHJ/ABv46/wwhTS/MhCenJaqoTdm Ur55P/Z2+m9hwFNceQOcP2cTVdaVeFUhKUEzh2u4lT3Ax1O3Hl3KPdlRaf7Ie4I1dMaAHRghNHqs 5LcwZojCkYyWSJY+SxxMIXgOwMpAF+QufpD/IAcI6vgxx79bkMbxE5c4KU7l8jMyBL5zUpcRE1aQ N/z5HaqRdnaH22ETBUsYs1VHWR3vbonXqlMKuN5V6I3IIxkmxdQKskOJw9/4K0Bh8R+BeNvpACkj NC1oQq9EABocNrWeBJ2e2Lz65YrBDB48IINfe7hdPXWLeS8lWPazNp98LC79c9N4poZ9wfEpzyrZ ewllzFfHut7/6iV6FZNSeSkxWhKEIlOd/FztCm3cOSMqM/Qddo17X1ihd/rCrmfUpuKTyximONHK KhYC0gSagKWDPXxAv/4YPM1+q9bmSaSutzB8DC4pvvUws7M6+4QnKcj7Unz4UQSOkKb1D7mGSH46 /jl4Xd1tZUvq47+NuZMZkgSU+4Ai/cXGlWEv6HdsSaUw7Ju5mxlY93WkxymsmPm2sAtKLnU4Wppm GxQ6gB/GoKv/BS+5skf8kOQ7isGROJDYOiY/Cj+LuJs7kEwGR0uzKnXvjf5bw3f9FKopcPmyERIm VLMw1nFKHhjyBu7MPq/YuYnfEcMFWG1DA+oP+iXTxO4Lu/a0GG1IyNnNPi3UZ8LRE7QVLtf6icRY CKet3rsWL3sZLOmuRHRObxL2c2MazJoVrhN7VNViAvmEOcZM5wnghvqs78VIJg02gYACW3fPOsJN Ho+bvAaYekD38UFNhta46Ctr/zQmIWdfggwe0XS+64Zf4ug77yoBr4b34ButplqTZL6Wi7dO4GGc 8YIOg82j4rx6xcRcImDgZWNRQU44+67CGzsNj+voCwRmpw3X6AaqiHSKoAnh4imL73tz6ZJzTX6j 1oqWBVAN/mb0oMOc+3XXDYZb7vFYE+lzx2KL79kJvxKTElZoOE47LkUgd4S+P1VLpoJDc4GlJwvi 4xiPJklY0TR2/Dtnmao33BDP0OF8WVqABgUOGFKkweUNfg1dl6Rh7MK/f3HDTG5d6AhqhUIOoIrR BZYgwRs5RbY4xBZ1n+pDlMjW/SSQWcy+p1DdkT9owcHve8jbLj9gO0+8xm2CNpGYMpIHDl+y5dQw Q+UHQ0ewv5JIY6CwgELhyZXMBZtABHSGJEswWEaXSZoHtbHggWpO+x0JKGPIX3A5h5Q+laqQvDH2 VOqScNgxJuTmQyrkYqxpCxM5/O1E1ZcAUrAtUscYjTD3VPa6ekHAs9hrPJ/2H8xL5rE1JdmABo5S Qgb3Ouv9BCMOvDqcyF5l3errjsYMRqOKYSMIVqBuIdvsMSR0zKmRlQPEvLJXDyzSffF8WtFAaYLk abFkNPgRNktNkFN7dzx1o6LGtOmvvZKs/yc/exl8bJHHD5QBm6FAhZ8O49Ae+Q5aVKGHy0Asfzwd IUOQjEGgS2Z4DWJD8eLDCjy27v7cqvg9cw6A8HLVijPGAlj2DdAe1bulNyhAfdXlKpzN4mJ1LrVe Jm3xZaaE25ta+Ay0Kd4C65VM5PBfPi20ei36b06wAPTLLWx+QjsSxcAdEcBlvzZeF4KShBhOKDX4 3OjhPnDuxepFEUwNqQcg5oBDTdb1lZdycGj+ekp9cm5hF3FirofKpaVHst2MxPudTbBhNsmOUXbA sOAqE0/hVM46YZp6KCMMvH7VKqSz/Dghuo4UYPOiXoeE6RfVf/xdpiq/6oGKUovmCDQkpHjluB1c 7ietfkIBc/RzFheU3tMnNoXyiiT2iSPl+gHMspS72dIr9E6lFZzjC5d7xbOHkZGoc1CWsCH7szSQ kcOhFyD7kkrlJMtPrRK0CDEC7V6vRB4KtuHMn7tMm/ikAf8RebYxX79EvKE6iyME+Ntz9gdbR96y GjK84P4exm45DguIonwYfQFzLmscLh319bp9SL+0GoUlumf+QMUj8iYZliIl5YdD5Q9mAilZq/hi 1BriqJFFNDK9XlkuimzzclSV7hke2HDhOXrAXlyiFy+d1zBkD4XycJ9CodUQT4amYBeVXLmkiAg0 tcjPsHx1fb+ExjBf2/bjmzdyWleeXhE03y/wDqzq0WiVqC+sKHFSSFrmw5eXZJljbdOJ9ipe1Tg8 w+zJa7/HTJQxkneeg0FBAn845mRXahE4WZ4fNMlwFJv6B6uw1W2YiRUvFDxnVEydmm5dUQtkr1t+ 2HVVJzLimVGgxht1dAyTgh+xhmFffCj7aTxXt4Wr+Emrtu5PZubprloWTzvEfbDwxOOft1D8pRas mTay8LFMPGLRBSIanFqGE7UVBxFyAfw0IpYmNkFkWCwfR/i/G5FKPmkTAltA7lb574C2c5E67bDf 3g4HHPOtJnaAf6JY5xaPmPikSnoZpkBY0f+/j7sv8z3nprFyvIGSes1blg7Yt6iYycUf6te7XGFI CQyVwJ7drASSaE7Yh3xM5O6PPYUs6waCFcHgneaZe0WjuZCJUB/osFfi7sscqxJWjL6V92EEGNsw RBYPBB47Zou+Q3H/usb5U2uc0EEgx+ZojkefGL2MNTBoShGl/R/lcmIRE9Qmoxlo1B44D33Feplv 43tkS6lDMPzvEgi3l2RciWZIynsD3mbtK6bpgzWDSD+8RaX2ZigJqyrMt8kFOy3foiK5ygUTi1eu r181oHrGi5TKvvoFQvh1NU6+fAxojt6iexJzhFFU4HtTEQwFxY7dofy2N0u8KeYxnp/m3JhenOE2 K/dKxlYsbESv2lTilJDXXXWjQDtW7JZ9KGsa/cgb0iefl40LiDnWBxq7qy2I7SmQrmA7gmifqC9C tDRsrquYJoGm+Ju5fUO/6aeqGEYwDVYk1jAEtQYzMWBOmGmcxpHcWzYa5Ix95+6Tn+DpSL+8sIj4 46a7G5uZZgOH32a3MlxWdpzUOkd1fnWviJlJJtI8iTXhbdpZmuPsRry7DF0XJBLe28tD/5VDrRaI iqLKRPkJahIzqqksEX+Uasn2DyH9pwfiFtRehWnzoD/d13OcpSuDdYkTIP9I9k5De3i2/CmXdH9t DGAsKGJBuC9wPh8Z9VWxEOTeQAFzN8r8PU8/Ny7pGyKoUBWKRaVfpv/HjvcqiBwcPuUXCc19tuyk cgtRmlm7ayv8/6H8K/tudgl2znkL4EUeOTzK9ohJHLtizS8eD8FTM3Erq5vwt0uLTwyaDFFt699/ QNSYFri+XU0ramiraKidc0h506tD7VChjwmo+z7vCeY0XywNVKuTNpBDzDiSWT12SjNF47FVtQZo W4u9XcrebGWGkxkD6tSWgBxLsDiz2eaIfFGz40ukGrvSg210DpJxuqhPcUHbShwkw8TUBHGrlg1g dkuZeAadCs4kA+PmdqbZLpgqNFvHcFbhtZegvcEtC8y0px+WgiY2fF7OnUOJyjmnxEspbNFomziK u3vF2yvX36PRojOeQUr+FbSyW3tNxsdwvrD4hD6US/YYSdSxi7JXSk3xKWKKncB7icQJm9ilip1A +HHSk3VTqftmdY5PdMoEpgspVMlLIkkIgxxs7Vc564qdnWBNJeV2x2mom7TQli9BILiDgoiBc/vT FR3/PXSc98rKkDs/S2HslWlZnjgbo8+Y9Lry+xlJGxaI/UN0knTQZAlEOlYWLPOvmgrUmJ23KlNC +WoZjuyjHFFeBN+nsKg7f3LCwldXxmiQTOJbcxBl1yJle0ZEcBcQjA1WWk4ero1gWE0l0lk+VSMY Vlpbd2ZGRdlkmZryyFa/p71UxuBk4Adws08hKOewZCvAgrdEJohgXs7jGST8OppOo9TkHZ3j/93+ h9IS8Jbu4RYW98ylJSXBvnLxdUL7EkphsBhPWGiss3AouSWKGTGQbcVDi1f/a669b3W9Rny/1eCA aJ+emeo2GNHKqhzOn+leb7abAvc+Xnb0wOpnlmmfhlkLg886q02Jj08j7ZRWkpv2Drn9cnng78oD dOyrHPPobRxhuNB8ftK5Cqj4c63CyYboBaZ9ex2qunPtrqxdxH9gX3T3srFOOzI5Imow9W7p97Ax w86NY+D7d62zns72+qJtHsBytdhR3O9iYhzz0D1x0QllNZvPDEMxcJEFdxwWyVw4FzyaK1k1vgRq OVbs+Zjlcwd5I4NOQokVdtdohQF4ayKOGFdRl+HPvRFe+NxVMVBeZElbSFWNIALFzS0dY9GMnZFT xPkxAQyX4TLJ+hS6Sw3HH1eZpyvwZyspGaJG3oBLQwO0itUaAGA/iD5JZJ7Y//mrS9j/ZSThA3Ec QBJe9/IHZ/CMn8vtbLHF9D6EavSd1kmV4Yp2+cMGqXexjOS4QecVv9svKjVZOs7XDWsoI/MqRGb3 VY+ejhsr0l8pKBpnFQZL4oXcTaDWE3WX06ZaW47yg+Ji6xAma/2dh9rcp0DDrQ5zX2O5nGlc2tCQ RNCJ2QKUe+4a21yaYQrreHcYKwwOTpPlT47IShptBKQDdvT9s4mM06o/X8ozgwPzS1DKe9E/Flm0 bxzDD4Qkf0tjxtqcNXmM25ZzIczqyYQIr93U2W0WxYCGTZqmFbvqKe5HEMRNBdEnFwCQ05sx/SeX 6CzOX+XvNUqRItdOUvdBYkDyPIpySdMSvLa7aBSgZtu9WiMDd6ETreBwZmpwrX2982QgY2gJn8Uk ALP1R9+m/8aplEFY+VXsRHrfYh+S9bZg4jTT33sS7acUqnAQpSShfB4kwClY3HATCQ6iPLRRzFPe SwDCaLuewYlvjcxL+Yx0QkxPfR/ShsUe3nDdCekgMu6kV1oqoNEdaoNY7LibX3hpPO2ykJhlpOiR /9EvKytJMqjh6x4e7F5ln9JdJ5ftr907vG3dDBlp0WkjlSngQKl8tuaa8HIN9J/RO7wcp1QlgKnW MvnfJgmHgwL2MMEivCSUW0fZraG3utWWFWVYorISd3VX4Fdr/mBpDZD3LdkNw6WKrOoW8fkLIhzk zZpxMFsHF+euh5VtVEi3XpOG+FbQNs6ugUYYBEcsne87YFDbjf/bhiSJplOjxTZCHdY65tJ+1Mbc sOXpMfGID/WLpkfhXuZUSXahhhLMrPbRioR/wm8cI26QyHsSpXE9rbP0PRZEW1959jJp1iVMkSW3 D2CIEtoIz5s2LH5dRvG9c9mV85hXbht8KUSteQBeBXTFZ1wRLnKXzrLATP527ps5FWEFQImdPaa/ fHbxZ9DWrBu5nAU6t13Hub6AhUG+Zz/cnsTgUxheMnX6lU3XQ1XrSdEzQcW8GahBsF1fU6xGM6Rm 8m1uYU20lzspQ6uBEW7BVB44ALHV3dmJ5Kkrq+Xz4fYvw2djR2ViUhVQodBAYFDIlalmpN2fKZ6h xocnyU7zowFCLgmtl7irFDAcXS88fxEdZ0P7rH0zXxrY02ePofydi4YqGtU37oIn393aT/AApuu4 Eep9w3oLe6uD641BwQS90jw764bRwNs2lwHwPyrBnEI+p7o8+p2ll+hL50fKx2BHajguSD+jtLRS lna0jkN+ZWuH7Dq9ohF/JhsLq5q1TNrvQiDiQMCFb0U6rzgLiPROBQ0Tt5u9wC+86AztaYtfLw+Z 1h+ejE+a7d7n/hP8Y0cYt/vxZvr+xF5WnTwo3H1yx2u9XMy3zRYfspBWvnYaU7xx6wywlCWwOGWf +rxx4XAgq0ImBjNS3lktBgL9vhx77B3QFDfAh8GYCB7I9fjhj3LhoQS2mgDCigIJrcqeuagaEenv eyvy2XBBUf4NcNsIl7pMwkgZoQxXaUpZNT8kQOfPN7FObO8K8mgMdq1NRjoQFRAbNcdq0ZuRX2bD 6Lh702bhxiI3lpuKcbKIXNBR2nLiA7ILA1wztLYuJTwCIIzpJOjfUob6tgEBotqpzZWi1giuqXhQ AXEHTF5Bm6NB/3Kvmjyi07XViDXnVxZewKzRZyXZKQBpOqQEmpkqkYuHz8lvBE9JTB8pMpEDNyM0 DkGkqZ6BHtCY51EZexgkJR+B6gY7Om8H0L0XYQZnNa9tA9hgcQj9YBhgRvNxq1HBNYMU3CfGTBEe w+kKEw9PGIvifN8ATfYPxqSxyyKOr/VyV0sVR1zyaKhfjjB/F8R3DbWqYLdCisDNX1iFlEwe8EmB 7FLB2jdNvaZ7CryUPjAi4qxEc4E6gblp2ruECr17bn9oZ2vJL8AEIOgQOj4oe3TsNeZcwHp0iWHP HDr5kAByR9GXl9li2Veif/v50AJBEMPe0i1Uz/+OJUQ46EbE9FINLEgCll5RDtqTamWU7q1Y4/29 iDnr3XEkH356j8PtiOwWj+sOpK8zpWqpsQY6Cx/NtQjvxrY1OekHiF5KCgqH0HsOfQ90gDNNBWt/ sJrL9Inpv4ztSGwrM4D5zkAX6eOEeXFYuULLpWmQvX9JupZ8xjbo5TCq8QwVzCewKxUBV0hP+L/b hoXSfPoWDAAxBQXQ2oxRzCAHqC6eDqMFALrL3X8Do1qxxkyZSkZXLaG7quwS/OMDlO3FQGToBysv 463tbwe9FQO4W9mPvaNeEEbu2kCVx+Yllc+CffTfaJUNfNBdYatuMCXXjvSvyY64luNSADmRWwWD uutAqpW7UGKuxJyAQkshdklhonl5UsHQCR7cp0GE+0YLDYlRX7AL74/dt1FxOdlLM1lEtCCGUKYO 4RQ/wRW2YpPhtwxCmWpdXHz5Dq9g0+WQtq82CRotWI7jttPkxMDUvPBEGRkVMr3pgX7LT2jMDhXF feWyA5jBGwoGRlTyJOG5MgtBGdK6+C6tRGjfgcMlQ+P6n5pnOyVhOq+RKQyi93egYciR7CIKzzBD /s8Qm+8XXK/Ru3bjI8qAFLinvX3DjnnTNVZBUjJpyRaVvZqNb5INA4OMZ8BPrHvdoyJmufsrx3r5 WrnQtp6tI4oChnBA7ckVKMLFFsEdULHDRHKll7CGDoZCC+4yHxG3zAiRDHx5sO85IVpxmnNAONW8 S675MunNyQeuT4C5jPgyHmXnsGRu44BrXzx1ey2nI6QQ8fwen6BYdkh6fSia8tli1FE5W6Fljm9G Q2BH3X0KVAueFx1ChPxtFJT4omGG4/RGdqrQYvcXTZkU5Hc68phQE7hsxrGu4GeynS7wfLjT3gb9 vfdxeOtycJnD6b1ytKXOWuU386+mRW0XkYEmHqlGfYOnjmNT+tyzfhIHPpIVEfWQdjViDU/6eshR Nt+Y6pCepdzCSQFqWne3qKhhqMVGqfpQpUQeaofG8Qs8mxMQJ3rojRCxnL0Fwfe1p9h3nPPEmear kGjVcFYlymJm+KJC1NdWKIku2bXntpnp3r3WdqOZHrLbILWYKbQhQNlX+QBDH69ZF5mb8ikKXcwm TSXm5vw2K3j9732f9P7pyplvaGqd7nlUyXH249FZK2EK9r/V1vwIxbgkwjRj4fWnOAvvx/MzcqzB KM5/t30t4UA0CHizPLCzlcktVhwUkuqldmvhjT1oY5sUSOhTVKFZu6N5A2JfYb1cA+mSYXunMtRl j3cowg0nlXzf+QWntmv42YdCqhXbfWf4RaN1jeHtsGESj0kUSNN+ku8/LEE0mStIn19/zwrn2ehL dN7jqZr8+diWOZnHPzJGQ4wFMB8dxAVcq0AaqY/cFjHwzw1RC4DtFHqj7z74spt7W0j0mRUkMavK 2HZgrrGwO83G7wd7LSRpJ6WLJfqX41ICW+4mCDXPaH977tlBrB7VKODI9dpHcSQdCkYjhtrkXnPZ YxDToMg6PxUW+wSBDNtrGATcCh/f3d1ffxA3+bl7QCQi47c8uCeXJtUcGWB8fsLD3unhjCxd5U6+ N9Kk7gA7KbUGVfZNXASR++DLVQfg8x3/XQuC6o4BerEjNc33jhQqyIeMFO/v3gMQ7RcPwH+nhrje xBjr/UP+pyYSdWP2xq/bfYP1BGa36LMdKEEwf3JzRQzi4UU+MkMK7Es+SN8xN1Jsrdev7NaS4VZz zT6EbHPPgw4+ZklpwndVE2AHnEFlsayO3tQNj3ubLQFkHU06NkbMTgL8yEn74e0CIUbSQ394Un4K JDfKbxWQTlNinOMcmh3egTKKwO2PULsPRFgP5hHuTw9dM5RxWEN5xtWkLupRt/DqJOOMgCTJ34U7 bgLdaov68lqN2IyVYUrM+XaxCe2P58pYjRnSDTDonnvfu3Ilc0736r9InQTZcR/8RjKxyhkB4kQe yNtAbTZA3RYvLGSNBdtiaUY3QKJU3P1jWljcaQJl9oinsBMOWydM552n06jMWkvgDzQRWlH7Wcbw RV5XJNYFik03IIN5lWd8tsaT5OFgF4fazH1xRxn54FMFKM6TeJo6S1bVc95AAmoflmcU7Z6hJeHq LdfKM0SeIQKLimsYXUlfhrrsGp2lDsdENKTsscggMRt1sGiwtm34XQ5W6oJkOnbc9cGWQLmZ+oKd 7YAb3RCOX7bV/Q37uY8EMYCAMf5tIlB5QUFBWQsBZQUtTFjkN6qR6YozTDl1EcmUwXYzyq1x/ReO CWK+Wk8bi93wfJ0/et5OpmHMWNrwy5MBuamb0g4yfv4ZoD0+6+VU0TK/1i2TZOPBeRFHUubJ+S6n CWZU6uEDq8vdvPhx3LwvkwcU4xWsfqnx1sQMSJGj7V53oJgBqwaqMEmBhlmwPE6KM4FQ9yMF26fg VHP1XFaKk5uTORgAXOKqTtoSkPkaQ83Y3jdPf3QucrQM8oPo/OkxEe4zv4aq0ws9U4xoWjPaRp1S 0B+WIce1Vwed2bc6ykGDBB61ZjE3Wfu4YJTPQa3GToEEMeTaZc6TMM67kk8/VLxg07NkyDJAn14m Y16PVe+6UmYUZgCmgou49+T5TVG7LqbtjFEPj1Bpy8tfq/lz1IMLu8sTa/Z2kNupzitFoHUMtkK8 /kBJwEI7HO8mq3QiHnm8P6WkOvTj2ml4c2+sHQmwPnQMYXPfw94ZXywoKKHVowvMf5ulHbo+FaE6 q9hokP27wUTIgWnRFxHX5+aEL4/6jnsbKVhkxLQbKP9ZKAwo/aBv3SUw0zPOARDQyg/RpaL9e8bZ BlwIG9tG48ynEf1Jd/7r6iU7JQ2UAk6F5m2FL5WaSi5cUeVkjhChnKnCcRytXoFV7XqPgS4cjON6 lTtcKVYNuOtgKwDPXKdSMrmVtfg2iZafWCQ5O6+qSdJTKgkLsHZH3FUnT0LVFJWjWKkFYhsDpvDU 2yIbgz+K9J2UEKy0p2Z2GpehBmTrkdBQ/2dJAcCRr7P0R3MHzkWGysu1mhFekcPjEfmGkaA0ZELI b8AbnaDC7zKTWXHPH2tDZs6DgUa/jIfYnRG60w6oUyDB6k0iXUM8DAvL2Rdw5L+miuTQ2qWQkYZr 31LfnsRDLi8tKsQYZ9gkNkSZhuytCLFOzCtym415S0YNrF8ypfzR6qvuVfq5gmSgLiRocONRiuIN wEoONJckuCwjzT7vtSBFuC6iNejw7McrbMyhawyx1wSv3lEG4K3y02i8hWWyBkcC0pfq0Jhocn3L gVj/mriCTLKFtZGVY2i8BNsB8yYxqNli01rth24feJpMEy1o9vgVJMp7+9rRXFPg8JwI83rPtev9 xJPq1eBuCPlVeKXEdbHQ8l2MwoaGrl4Sbrmmf0jdxuyRtH3L0ozAPSzXSfILhJYLiUheACmmKFx8 ULOWO4I1Qf2oDTirIzgkbI1hO83OIH32B7K0K87PfbD+gHgmAC3d4agfeG8wlRLwAnd33i39wGsI PfNK1aw2Esu6N1kTC5J0zm5OF8X855n4ARfmfKnH41IPwwahqEm6BUPWA54couR/MPMpa6WZtgIM l58SVxCuncbF2kQNJX9tRdDOxtauVE+wT0DJqXt8aqx3IWbvbh4TyoB4rl/YbjdHkkeVJKiXtKfC oeYpeodRPxNb+/sdIG454npIN47zJH+tGQn3mEMiadznOLYvCL2pKBQluPX3P8RpJse6yvUmFcG4 ETovNRxo0yKXabn7osLN6k1HjvqyvXDNtNNn3L5eIaYalFTrbt0d97YX/c11KRRfjR9zXkvDBgRO +UKzn+87A6iplx9UsiPIfYafqpkKBHa/CgxonL8JKjuWpu7Kd+Qfwl/Wkb+tGxAKSkDtbIRERiRP SdJJtMvVf5eFUocdOmssqvUqgdN1QfCRljF3BhwCU0uRBQivrvKXApYZLFqqExSMrlbm2ckxn/JP ojkJh67gAz9sIjCawGCaA5+JxYKmBvwC7NTRjHHVaImqv/0+ipv68jZme1UyIHcqbtbp2RssA3iv MsQx8JSue4BetvxBU54ygtLpkUuwD7OPS40vn+mkkir9zjw1NwqrB/+jcF9kHIBitZ4MMVwjWjm/ QnsyhNmLXRiCLVQ+HO/jd2p0yOnKWTCCZNMlyGytiGcCr3+NVu3qp2/Sx1V9nBCpdHKyg4nGX/cY HI782lfhN8C1nhKU4r4BPH8oHjz5ZPQbv2Z2xeP6qp/z85AVT7CptUYEUYUMTw4TjY27WD3Di3f2 cFwfjYWUVP3ZXE4tPvoUfIsmZjHREbeBdPntj0UbCvoVrL38v6deuGN31wFgsfjL6yMFOZrxLFEW pRjIe/vFpA7qqUBQbMDGjwFu1YKlcMVbWr39p11e/gYn+A+NdLiFOowLFjxqwpnguxhxxmh1UnpK U0+05pUQnpdaDaEdX1MxR8b/VC05xBzC6MQ3SfQrYZ3thmfHk/ko9StWPFq8fpMUKagaByYJz9Er 48RCaC6zK6+KQV6OCN7Irz+KG8k07NXd9xbJGyVWH8AasrDyUinMEVxSTRwi8smrHNUJdE9ueSCR 96OJUrw2HwQ2C2Wl4tr6YE7S/ar0ALLBd7iVKYLM5TLixki4iQPqzLgbMW+xX+yHiWH9engI6vyy q75xU/+qDfNiBfeE4QDEICi18ilgrh6nWT6XTkt3HGSz/GwUUB0ShJPyszdQv/fZRyCBZ7rEqgTw sXBNUoNBy/26wjOfsvwoK2K0yPk807bjP828tldutOeGqgo5e8YVbMfTC5FhXsURn8iINRBz/NUh HsGxfhD9yDIID6B0d9iTGHpuNBRuqewl16QiUdKshQORRCEelnmSgbcCrcPAX78bbaojdIc33csd g1bQTf3Q0Y2t81wvVguZWOV7ihUyomThQSy+Boh2WDbKsuxCIt5WBIimsrDW2CfBA2TizfQS3aNq rydp5uNQpdckh828DZba/oaysW72s45vgXQDyuSaJDdYkJyMUZ0DovSPXHR2qRmD1mqNJwXghCpl nh3O/PAn7OMyQrAg77cTZxNxnf8hNdmv5exhnjDIlImmTO3fC/xkbi0AXXG0Zj1hUDOuIz4c1mzm 1DlnY9JheQ7apQ83yBOVX2dUnd8LLCVU/galdvJutzL2WdvyXjr/t3RiKEhoynGuz2Ob3/4068jB /YTDYlfJq+cVnsdxHc4gd/GXvt3uwazg/U91uc9MdCdGzB+ym/3M0PvQbn+kUc31w8DczRVD7u+S lVh6lnAW2gkVRYPGZiWRG3q+7Z/qg2tEjX1RXJ7sJmVJW/Wq2PpVMDaEUM1CbnmuFJpq25BUXQvx dYROaJXEkLp3L5S48o2YkG7T1tdTsa+N0Ga/AcGtO3TV17HZnAzHDz0bGiKvn2GaUZsvDBA9Mk+M NBorrfd6doAm/AGFJkRB99V16N3xLedXbawJUpEjE3jbaYgHvu9a1Slg1CagmCAc+uC5KjibT15u XVoTcURr4ZY+tX2XywDuojesvr0fLl/oL7x6g8hkkWAYL7oRfxtnVubeDIJCkWq48/XiMb4p+N/N Cg+7d2Lp50cTIKrsFHXMV9bHaMxTL4WdazgwRvQokaF1yyIqF2K2+ep18M4ZEZyUMvJ2oMWNjndA ZqhkvqsflZyR4nCymGEtr+kDnSxVMaB/3ZIWtoPJHqnfjmymRVUigyXftXH9KWO0M0jrdI5HSBw0 /gl3pQEi2PJ1tJGxCcu9vkruof6m2VjcvWOlFpxVa5vGUjxlEkNJr6KtaRPexc6pKT+Y7LakImSe Eb68GMJyCiTkjGgW1rucjxfrimcpyO7q4J5Qti0lTS1rNtTtSj9Aw6n4zKrpdzQX5IZduGII3byG 6yay3PCas1L79JAIyi+KTmISht4n/umfHl+QElwqSXhqUqskZu0u1ijxmKq46e8vqpZ/2zJX4Iv0 UGdI2jHB0v6TwjVjIrySMQr8zV0SX5fap9gh5Hdv0V4W4DleCqhAEYb4lxuBlEi2tCKlg7i9J0wl anHz9IQG04E7jB4wgw7hciMzc8imXJzti+IdflbW9dPakseK+ut6o/Mpz6OA+A9ghJwV8vUKtQ/I oZwa665aEZ8zc5ZAPmdf0TsML+BXfF2mRNuEky4TWekLd/Z3XTdggq1lsy6ukYgHFxOznwiiwqTh Gn3l2Lp0IMCK/OrrNRkKAiX0gjS3fLLf43TzO4hGhP3J3RQk2Pk6GKUW87gTR4PqsdOOiWPMbU63 I9NjCkRk4frK7Ll6H0vdG4mRkhOdcbqbM/rTIpdtbpnWQJQ4CkYsIf3Kf+C492J5xTZhWbNAfR5v qFjDIlazigz3vXElzCV194h4mHYiNo6fWdGI2gsu63VotARJ6gdl40R9HeX5M26DbkLEoP3MpPEl SUXFCz6f6kEwNLF8FqnJhx14ZVw72lRETw3MZBxbJux3wCNvgjjQrgfIZ4c280A3WZrSvOkr6pj6 qbw5vbI8+yGYQHxjt9SJXZ4jXXH5fhvxHvi0344dObisHfJYgSVDujszwku5DunjK1BUd2fTzEOv QSsRGEPbxEVxSTupEzol/0mEhA2JLF9rcqXQzEE8e+qmQDrRoxeq49Ny0//LzmYvyxmisFZ73D15 lVEwhkiSC86K+ILbVuHj63xTdpR2Bb7UsVhM99RwcNfyEVqenS95ZzFdGqylGvkfT2c7tdqAZXtY RfEkdshLNbqK4bcTftC7prn12PB4Ot6cWY5NkZqMfsvSgsiiBSNYgp5IETb0uK3WBxxTjYJ2voRC WK0PpU4WA1kcHLadHbw7K2W9S+ZLu/1h0bAqWZ3zz3XA7e0STnpEbnzPWr5DYpLJrCQF3unOgbjF n8JyJfCklAdVgHEtqcMM/ANyL22EEG7K4ivwXw7m7pkeL1TDnW36fYiIpy8wXoYBff6gnmeiuD9c aLYMq4b7KW4DiMSnK2yH8lP7VLwRY+plFoJYeSfXA1AuO25u73rTsuzltesvyes9iXuDbzuyWm1o f54w+qMP6uJzYkZuv6KUqOLCmyNOgow/fpAbfix0x/kSUSDfvsqYVJVMcH6ZXPkOFo1beWo8s3S3 Bgea28unwrWbGjdjk/GhxgbBAiPu/qYikWls9e5hwwYj1F/pBfhk5moyIgqQ1ZuQh0aH7pIoEDKf GDj5lV1Nu9uYeDx+gPNYau9krBWWHcp1IP3JQ5ajGjhVR9jG/OyfJeRR7S3sbeBxvpnvRVIT5v4k kT8vEGP8rSJJTVuzhFIOpnd10BFhy3+8l/yxW0npTidOPnxs9HrQCj/KiM3rTqrrbTUaHjIsg4GB LomzlxQb3j++aGG84m20vh7XvTeRYxMLdHGogqNAzPptRa1Lslk8SMafF16KzMzkkUzpJE+htoFh MycAmBh6clq+Pk1pLZ1ZNhvJsw8DZuD0GBIOG+/Vvf58vFqlCOru8oGU1ni7jopoUcyaS+8tnLIi 9hoLrg5q2Z5FeB8QMZbMW5CP6WUe9hVoIO/TFxbx5e4QJ26mCacU1RS+wABWD7aX1A/+nvJV65KF fwPlp9z7PbJGHN3d3+8mNsWSfEoUuT/I5RcuMEg4KWG4wt1pm6qqZBWZRRIldgZVHHDev86I1h/l p+24KuPQp6LiEYifEZZ5gD8dtJPwTowhSH9tIajO4aLSM8yaBC1Yer4U/lgiq4T1NCpsWUxz8hBY fxSRp3DZ8Mi5xdy2BDCMlyq+ynutQ/CBvJE8C6sKACir02x2FLrlS9aSln7KKwK+pv/ObJ/cul2F 2V4U3plJGGHrTdEcxo4AU+MW9yu87sFRCMugCcCWud1n/z1nowRDl/Hq9zPCQfZwjyxjU6dXo0PB sUWQI9KOem9iNnm0cwIaDQed+pMTd3vgxfxGuVL6uTdmC4xKyH2Kf8ntac0eKdcyaGU2BukdU/a1 hD4U9QoHqaDZ0ImHBF/p6i8Np23d9QyeKjQLpAcZFw+pT8rMCfnW5nHjKmrW+CVBQzrmdgMyu9cb 9hV5lCunLTIAvAqjpv1VQPBtaz41BZRiEvhcWJbD2RqVBm1kS1Ozl4aVt+HirqDMs3Va4Zjb3Yf0 Wub4rq8jW39MXASAmKjbtXqliKlxm74jOzBgmgsxyNaJVhzyk4XfLQWVnOdXcnZ1QXBAqVtl2Brl B+8zEXr8A8F8gjb8uLub2uHU4IPH4LlYArUfBAfG2FOzW6J3QwQXGXX0FzOiquBZZWAdX0jkqI4X 7O9jpO0VZDPxoAAzNPkzWbtIiJS51nnNl4wP+1vhiJFBUYIvqX9LcB95CzNwcaXdcYK7Wf0qdanj vVicl3s6zIwzYlgxhmRH/q4m/OnNwBDHDcKULKbqW+Nh0tAM+WnFvsgO3F8YtkcYpacUiSm+gFjj LifN7oy32NJJRMsX+2Mb6n+iWDrCfCAJ8pdGfRJ4+oRXw6xtRFZICv3F2vuW0aRO0bCAm2Zntlra 3yHzHt6/5KBsDdEHMGcmec6TgYO3Q0e1hbLsuDjPL9MBK9zHvY7MCqmRs5dqypthYXRIfr0uQwZx 7NcZ8QqEo+C+QgAiDlY7GZSUTryWkTOC6Z2nkgc0/mbQfdZ6l53KpG+JVZ2NPkSgf2N+CQW1jbkP yo0WkJb9zKevj59ZvuZXfEm9vZoyCavdQTTJV3jA2hZPfPyetrNrnsr8vd6dPDtCBtk8WDgu84XH ZKuENIMfnC7t7nvBsCCynXNGySlKiVmWR+eJDmR2pmClxezkoGIwPnNDz5CAU3ZBOFii2txOGSka ZGKa3KyzIt3LAbfcjt+IXJzhC010M9ECz3c3i2tDg87er73g365I/aPFTr3a+vPm061DKoT6ZUHX 8Pqm4eckydR1g/4j6sh6VPn9EPi9J+Hsrs7MVxfzqozJQTX6KWl1wgy1G9edOGpoe6cc0aOoouf7 L5mPLFaZLMiDExMM82jSVQPGcoA4e3bT22Y17c+mnHKE1JIfOBk9GpqbMVqSVoGEjoRosOzenBxh WizbkW1XHOgmqH+SybDuS7iG9/cZ06cYMuG+Jiv7Ai3IsoOHRuoGu+FmJwV4S1+A/+gtv13w0sMR ez7OUtBQ618Ak7C+lO7ekSPqeyx2/qGnBK8G7VPFFCWjgL760Z1fPrfCdyBn3eRXTKy1aR18mMTa rN8KlJNtd51PWX12dhNppr5SA/+VdqAgCTQP8MCs5wjQxjXHIlKA+2v+pLzCUbYCCd/2j0o5KD+F wBJ95ZksVEDyIsNKIYQTd3ik+0XBc51nSzgaw1s7HdWM5kCSvRtpf1+cfhE3CqiNGiorvY7Pe4Er kQYHk0KfCqgP9wnvn2Q5EXtdOqUVyMdixXkT77VTX3IAnFct+DlVehNe+79elHmLJvW8FWsXbVDM nZoHlHZ9jlNHCsZ0xw1Rn3TYrdvS/NjmMFeRvNVzEB6PNatVxBgOIM33jgJlMCCzAltrXy4eFLVX 9tWDnrMmEEjScYWOgxQ82hQRVozMxqPVFyUNLdrxfIR6s8ovBZpSuVaCY6qrF5cGm89qsG87ngz6 4qFrpGfnVflqUnuujZzBBDcA1xtAy2iyYNW8aHrhBvYORlsSCzcHIP/PRl3MYnuXOHDEIRUFbj0b idjeeeaw2tEQh8Dv6GlsCaNbDNC/aSWWMb8ckA3TNLDN2xqB71VPc2WuX/AGsLuiuHqbVI0qYME1 uV/DFnp95CuLyhJMDAZyprHCed8v3OW7/CztuZ9mtO/i1KB0z8lNqYX+MICxsqIioNlqcdAfbL9t 0Obh406UEiXMO/+daCjiHTj+O9inXhijL7/lghvfBCWfCbk0mKJsVY8YbJKUsinFzajiVwauqNck mK0lE/xHf2eswHrtpEC9dxV1nbii9OOoXfCmbEJzGj0FZlC7xxKd2fvbDNSeRTmzYTgXawH+Tf70 shSnzpfH9n+NGw4FQJecD2ysXBWFwkV7Td6sXQC61HXcqN5ufcARiAhXvb797CKcQOCNYbmnf86T 10PwdlhHkR79HpCe3CG69WsJpzj8y/ASajIcA0NXuenSGlcZoomr+1uabBhy9TEDi7Obh5XTrqBs Ib9Fk3yv7hymcnhrorYo7g3bWtaZG9z3I0FSk7d7nWeoi2G90SjfyozIvfKQG/Ks17u/vcsT9pT8 srrulYprqyFV+nde7hd4LFXQcTzXEbMMvnzyLCaPYQH7jSrUGZjtveK0ldxHvhUyIf5ddFg99Idl scN/daWwXksFLA8Tw7kvhcvRVuhxGvaNbAWalOS7VXt9rL2dSog6YAwD49ao0zPhldoNs2G/XO5D qveCrxQ8Ov+esnGaRt5nAuhysgK3jExgQ9RxuNHd3x3XexPLYpYgmba0vHfwrogOerbOqw47QupX bwMibjxXK7NnkHaPpLZtu6FlAngVy1FZntRt0d5ofVcGjxFjyLzFp1tHmA8xk85Wy5RLWFIry3sF IhH+IylXqaITg4cQo4hIbl/i/njDeJM0SFJCg7YpNsSNCjIlxywXc52lpNMAE7wJQ12jbG6V50cs Bjjdd/hSzOyupmTiIUkzSZ2V0RqdA7mYS1BpI2Agb76Sw0yQDVgfWQZBuGnXh4bKa3fsjhBKZVCg 4kWliuCA6K0dOVsiC+9kHYpFyZDdm2YYAWVOdB28fqQRGCQb33j1VKwrW/ZcIFCoY/nn1d4rtEnO WU6zonVEIWx1mChsTlv4VjLABi/pUuoZbrv/QdkwQXZw1CUD1Go6RShdqbUQaleUf//6EL9NPvNY 4cnNFj0CrOaxtlPTKco+qplNnqqOvFfKXKgF8an6kFudbHYvtfJmFgI+X91IjC3fETPfItY3QG7B 9xojB0G+4AUu6R4OOuRgsXF4G37eblN+9wTTnnZ1UC4MJ2UWqpWC0KHKCZfMT+rMcozEuclL5piO 03jiYzrEAClcp3VS6eRiWgeefnjBIxCY4wq9g7tkPFJfDVsCHFhvgjPdupL3B3Y+H/1OJxoPqnA6 TL9aMORTR2pO+XKO0nkqOVkbMiKTaBKvfU05vV5dSzZA4tijcgduOXPBT+GCy+cTM41ZzfHEey7d rfWGqM2wxRZRlh7tcogEapeNZ9AT9KDNtxr8VWojKMMkiVqqjIOIriA2+0Xyzyay8C/wSLQuLsKE RJAEt0ia9hi9zRMXDFkDVPjRyhhjTUBo3HbTlIhmKjPZjagd7WDSaUa07DrnxoYXr2jq33wntxiX 4On8AJVWqd8l63NmFnT/HBasjwBJ25d/GsH9LBY9xMdhqeK3HFSXUVTuizuPnoxQuM3HXkB63E8K q/uqFW3SweSSg4lFn7n2vbvBkq/1+cGnMy3Sr8duOk3PHUXrW4N6sgovQ//W0VvqM2RB5DPI/JGu v9s3cT3U4k1KJY1Zlqad7I+OETwxV1ZEZhpgkoZPrTRqMMGimKhzFHVwCbp0du3tLREm9EBXv963 tcNaNilGDVjjoJcpnySpOOMSAvHNY18sKYWxf7/YqmgstVwBhzBS1rwOnFtqLpVmNju9i9H3COIK HLBSmZg+l3tEuDT3bepjvFmDGSqrV2VQQmkDr1mk286JQoV8Y0V7SuLamvCNRdkb3Sgnmsgnb+fS VUMX4pRIrna9j/SztBf/J05Z0MKLFe/9/WbzVfyb1y9rGpoTDV4rkaDCvtBgzgoWa0zogtZ2Mdls eA6VraUjX/Td7Nv06IS60w/pki+plfHHkbVzCgEU900spMutDXBm0OH5U9dWPUO/lug/1Xk6g6at Kl5wYZoIsysYWOYnY6KHdIdgpLLAYmrplcskYLswvxJIv16oMj9PyMJUKi2+LxwfAdXNyOBdavuX hdXIPC8NBRNg6bMH8QFJuHq+JFurtWNUekHNm32OieBNWY4nwl2e42HJlwujNEVDow72oW6EKrEa R7PRQTWFksK9GhoPYnEMPb50/PcfG81Xz1BQOKIZmSKqDKAsX9/HOrYU4tSAztnz94ied8AcBExw FBjcrDb7E6swOyJlbIUqEgkDhw4Gz/YugVbbbG7he16k+Zr5IPcV28dq4IueTJHOY84pnM5DKyHU 6NtngFQZnqh8XnUjB0ee4/pfjbPb27eJ0cwbR+2NnC5GYbf29m6af5GeVidKIPBIPYiu7GSxqcVb 1J7FnD3ZVFJ3Gk4wWxeDyoZMXOYustUSPs9rrwibFBQtRM38pV3H4bqmRbS/ESLBWI/k6m6ytrrD xtYp2mpgM+DoYCjdliWPYGsNi/aiy4VAVEm7B4GmCrKCqbh5x3ehH85H031OacUwYoi5Vjr9tr5l zMWPyCiZZdCVVOngvgnZ6ldhQfW+15R5KyX8jQXKpzoqEvDj1arXvLCh+Q3GffW5bXuRxUMxuH7v MEMAYuhoqqQJWt5BNtwsxsRDciKrVd5mE9uu2IoavCC0/oe7kUvuV8K8ojmEhpT9OzCiMhEdDN3f UuPh8II6VBTf54MK86rXCA9RHYMo7Fu52E0aPXxIDPNCpCsU/cv18FPYyumiusPDcuJtYwUKx7vr CloJrOBo9PxDaXu8R28GkO4zYhX9I6ZaidYMtKubWa54IHTUvdOB6fYRU7xa8KXk41/HPqa6lMgb 3sHiI5sd/cmn2b/vtnjTQ2s3DQHy5xpdWrV+nVS6HCUa/trIix6gIUuQpF1Ri41U57KOSq35729/ 3ZtNvWzKVEAcopCHli8PUSFt4/2bRrglvTka58jHoMQxL6xTsWTlzGpZci9fJOzEr4Xzczw1vOx7 JyyMlLJNX5u+gLlSblcipprjCKvsrIbZV+P5mafRE/CKBfkdEzMFKiTOJlLIMFAvO8PJT7zodtWM YCPJuiVCSQtRlqOD8pFe5q5bRCz4K8iP207+MSOZmaKFpWIa7qLN1dt2kBTGmdRXmZjY+2nN5wSm 7L/EAx4o6g3fyFGuapujYqQLYJNCbX4KuN/yICMz+DdmByHaAXhHznZfYj+Dlz4RWAZqe4/WxLP2 8qQOF+Z/27apGYQ1T6SvCldwe2iydBE9L0xQN+cDRgEJnUfI49KJXCyprP6gAbmHOaZZIjlCBC0C bd5nxRcBXXv4yWifoCh5c8I7vmrC+CVE19WcbMfi+qRaZcUeD6LFPVfoUsmN9pTG5R8XFoU+7BJ9 m1XrIMfDpmP2wfPDpz4wqCGpKkYMm/L/njxBfVIUUBGr5l07EPM42D/MZX/b0jUnkGh7hsChHPOd Slz5C+rc7tf7hkMV1d7it0R2hrgs+013AQc+K8BMgO5vP4dwN/IDykYm0ZP0ygdqhb3IPV441o43 H615JllQm4ga8qNTQTwbPkJexMurBIR6Y1xdSbnblzvT8T57/cNr3gqlMu7eLKofo5FtEgT55Drp yb4dDtgCwtELf5DENqNoup/3XtB8rUYxIUSexuYn4VXr48Y6gC68n98Dnn41NIDpq3cIPZzOJQuC TZSaeQV4zN3OnvDb1GGqGDWqVcR2UaLEqnEvmH+9bGA6svuky+ModCxE7YjRsb57ouH3e2MNTw/h 3f7xg4IkEYPY3VCli+IEN0GDB8bfKjEy6G9glS3jt0yN8R4v4veSZk2CtHhgZNQtm7I3f0DzuneQ 0NIEycjJN90fNvbIJ/YGus1ugJS403jvmNyZY+wCRh1Qmibttjx5kQK/w71d+rtQCPOmXsiprBEE WZ9zCnk/FlEY+oNbVo7uiL91koxM7SFIgAhtqcBAlN5DN1VQQskXZXdiRb9Dp+kF9oxiBzN1EYwq rc2Vhfuc5d36we+lVL5XrFlwCX26pbeBefe9NjUNroFq2YoDJ1M7PiF3OCw1+NVaRP/c0NFEpZwI gyRFXE0StVNEZatq3Aju+xJSq9bChBwXq3i35q77LFAPCzIFVxDcgXy/xTzJT3DIxpqrImuOWbAk ueYO08SCjN+GxqaQn1bN1+BtYExcnN+5aVN5JJj7lg/bvNU6QovjjpSKAgPkWSNuqJQVvZp8ADeb mTaYdmFf/yAD6qD1eGZK6EOmqtfpJZvqnwFxQCGJ4e39ewqu+YoexHSaKjQiU0Xh2RXAHLesvDh3 aEusbAIKdMuCscx2xEAcvmrsBLvi22m1ng/ff4omHbPrJ2zyEQhdMcC1vQEbzDGwou7GK6TOBfUe C/tv76dX3h3mzuhgl9tpfTTEIlf5PvgTGtE+LQKnTF+2D6fWOEJrFvExKlsE1FBobCTvBZBxOzcc S5/ep+dgIDXreI64A6gEn2DC5LqmcSvkBbHO7waEJpuCEy+6L3A9neIKAGwM4F+YPnpmOKQXK0Z0 BT/mMzTpef/ixTLs/CqKrwuo0HJLhu9+PpePYwWTZ8y/tIDhavS9f0xEG7k7jMHVcSTVD984fFib Bjqx2VEJYN2fOc33837yoz+tjkuwM9J7wEk78NOUdLu+kYLSjZgqxtIPNfD4QCKhp6ksTc8RtmEX WE0cdLkFcY2u5UPpeTiTc8YlqlVDG9dbAwtRp84tG8DtwEjQbporB5QJL2jEWoCTvCZt4fAQEjYp SYalBAAmbrZpsoBjTRFM7ilm7tcScMiArd4UHkWRVnnhZgBl/a7JFTMNoIzfFj+OhY00PQAGi8Ju sZHwXBiG4nbTU1u5mrN6wW7zAUHFCGs+EpnFyHoNdcH/QSoAmlFtIlt4ZmoI5dXE/IvsnTxlCwKq 7aP36T3vg4Xa+R8V2MOc/vcNBb5a7b7xE727NEWPKxYag59htiBCx/dM4/6AO0ohK15qMNOSG72e +NZvnokjGlkDDYr1H/Hn9OIIv0kCVyZ0A+tB5CzKUAbWa+rnxyD7gWPM5Ohcld6kKzMH9zs8GWQ0 lvp8ZHCAlVym/nmXFZYWLXVcBJ2Eyn695yFBDnQNf6oWWmDQ3mfmUyCqYCcKQ5jxdKhzOehJINh2 QkPxf1DWoZ0JzChc59gCswdJ39XXB7rSF/ebb1NZ4q2dLt2iwYm16BjnBJsl2C4RerqTY8dQu2gb J8acfCzuBEPSZyyuQOsi7G4Cofg1congThTQgtdoRp73FoM5m6cjcATUF0fR31JondwXNw0kKa5O XhzlyDWLLIRNSOr77HpGJB4WDIlPDKLXNP09tR9iG4F3/NVLFtNVr8u63tIq2QE5JoTUHbKg9VjK vXVA80/0hWsGwNt9BiNMbu/ytyQSDH8bC+3CzRPrV6LaCZ1Nj3p8XLXeWOtQZzV3Pmjsid+nzPm2 pjrne43gVpUq2OknJHROffv/XaKyn5bym81IqD+8saLMCa4/aDjQ5m7rDefZ7xsXYyD7YCQGlfZj sbXeJhKWtI1OhTASYsHYvuwuLU7vjsgHorgVEMQMueQyQ6aiLIs310aV8f8UF1XoZdi//kC+Y9t4 VWQZhtFoD/nDVW8OWYfSy9MJdzCw0MKb3RM1mFsy+awzuU03uyWClSdVDNGdwllKYxJgcPNB753a 2HKTYVOZ9+Hz3T/sd5eugs6maZZLpL3g8wpsrgPHzD24MPl6ZomSntOnMrR5nnAPOkh7fAPYtnzn nBX9GUnVVMT0rc9vGPEO0GhTMbbiTF2JUKpVW2Er8LSp5qH15B01FCCvdFex/qT0dTc3LrH/z1/s 5Uiyt6zySiFZCNntjWY0OC8/ubAHEgsovZvN1/R9v8AM4Ss9Ru1hFoHUdEODDwgoW84n6vyoZazh MYGWeP66cXZIvHNs4ZJCmRDje6tO0tk1mCiODmrCkgNYnZItMYDANEkz7cRnthYburL1YioljEc3 k9LY3U+Qe49UqeP8eIk2KqMsyx2ZHLrMmiohgtOdB4UGaaynSjLR3biMDIR688RUQI2zu+lKVYuE vbzIU3qwmWkPNZyhzTZ2txa14+8B5lI+jLdDeIcni0Veg8KDJH3UCQPnw2lCyTj+OB8T1+xVXZkL 3Gdk+tPu95MjJgwz4CDuxkeLQKKbJgrRsPweZGaDZk+98+N9tOjHjB5/0/uqo/HYjER7w3X8vGmy 29yiAaDITx/k+Fxs8qfCTqtmhgvYobVFDWiaTtk0BFIhFebcqZ8bEPkFnC+zW6Nj3F8/1eNWcpZm NSiraKwwhjsU5eOBj6d11WNKF2EUaHRn7OSQyzHrQ6Q8UJYpfNWB9IVoMvTsHc2RabfvezFmgo5L fAezGHBpaMdE/HN7u3O7GgbdgM4A1VjZvztJneqrmtEs86TLF1Uycnfv5aDCxGi+8Xj4P1B6OFxM w+fE7HwfC5ISl2IH7mMSjq/58mRp+vOPIj6qsfBkFn9gPWWMgmlnGmdWkorOISkRJQgcwTQpTsn7 c2uH/1FtAP9r1yyS/gT3PPwyFf0/BPcphrs7ROMs5F6d6qJzeE/POVbcWGW2lzzKxwaY4lyiwDni qXKOiPHy8UTnEn4y9v8xWKZw2HReLt7zhlFB9aWa04TnNzzvxiM1T7eX2pu5OveM1SVPjdHK9c8U f1aXGD8/pX0wz8zsTw1KSQJQ4SSv6jjzdaryc4hItMtAeXUMwNlBdRdEeoMiIrf3+fH8thvpJhXI roLogd3PlHPrkWzmgGzJ+h38iwPwYJd4Ns6SCBjPpYw85yUd/y1oWAPRr2bDjvTppPBwnWCATg6O eHZl9p3k+yb8yropdSf9gqFD3XWPPKhFEAjCwWCq0h2zFX4fd3Qf+Zl9EbMlz6lqQ8arWldwWSV0 crNRb7eIak8XN1ImYv+mWWnRMgTnqCJPu2JSCT6ZXNt79SzAUg7oDyhBdoc9E5as85o14bX1Yv4u 0gt4oZGvFyrYJZAkNMATFZVY9wPQaJtVd+GYEn2fEQkuwzi1Qv+QiJk4i5hTLlAwhMVyrZRawTB2 JX9PszL9+SB+pku0f6yxEU+DxaT5wun5I7dVkwKv8XubtTh2ed3phSYk7ixsiHrFc2Xfi9MvZ+HH XymsgVyU2mzEylGC/7tIZ+cwla7AVEI915I9n05QznnU7ZlXPd8XZwqzlc1IDtdOZ6oZfOLTy3G+ Tc2f1dZh4ZZw7HVhvK4qfTCdl7SOOUrmxegPZQIMGIg71BABJrMmn3q9/0zk4GgXEbfJG2T0Xlli o+n4akKTUJE2lwML5BCmM2Iw4gjOGiY3Mcaq0Jl+4WMo6CgtWwLuC9KmP/BIdZhnO4hjjQvnl31W JWG1n6BM+HbhWOmwGO5z/9zamfR83dyYM67qh1MnU8cPcPr8TA9je6QKBKR9QmWq/vuTEF3V1Q2L gQltgxiqMDdcBAvwxHECQFeua/r696Kb+eeNWgiuKfbZ5HBt1l0rNABd1XH7RyKlc8azPhxKBI17 718ZaEA5Es3W3ZxWcblyoyXEIVzDsIs1Til5mX5acoc1kQM7JkrzsU9pAiAczkxbbHKHqhWKzVko fUkmE06e8u15Xcc6yKYqYzwywjuMSTaXS8i+nZy5VWsFU6y5u3Vd6daGmOzC6f/bBfbKzw5rTIMP q980fJr1FKQAt2EWEfWTuDltmEPU4NQCp/JJmD20daeUAOfwwyimDRflpA5Q60cl7ixIptNBKsyg QHs5pSw7UQPj648n+bQ19xIhubAes/A63TsOolHnrPgMG5QX+9BvDFGccLmd7Wnmcv54vIqv4RtV 3pdRfvSZa7qf49/YML1/ejuC9dQxnNOyF0k4wKGFctvc3QQik2ygeNHKHveo2mFWrF2mbA/hq8f2 vP3m6/08EwvaAtgFqIpMxgCfSLE6fwxYTp9tJHnG8H0PcLYUlx/E+TKmi99614tnBjjXjndd+jho 8S4UxntL1wqtxM2RBXJw4Sr2wLjHrUb0KEcwp+LK+25cXVdKCnre0BWC618cGrSLHdE9V+xXSOrE xFwKJ91xBYfq0e77TugyHOcdcbeNStZHQPGpW+sueXpUHbGcxUNQYiUY6xJfh4vI4UTuEupTHOJB yvsU+Bx2jcGXcBWoXCWIENWxXaLbSWEYY3r6acxz+Rh5OD5Te7b9V4nyUMzzYL4CEFM+lXjrn1tj 8zz7fXFwAE0bWUpVu/zqTU9jMkCKaxUYqa5v36OzNcNG+ay8fezGsICDEkkzwAD+pJpiYyCyBZVT kXc9rLNSLhxZ5YhA2n1s1kPfiLgnBPh+tZ491foX4H5zjyYCzhZtgLVsoQvAQM0kLZjO2V19NcuJ 5GafTanLsLEJ2xyd8fKYGrfv0X13v3ccxc/wwB9Q6s/vbxNZ1USiil17lB6DoXtNeJ7CqKASzfCd J0HDuRCJIZjNGSVLe4deUTKz6bxGHEhNzeaLAEETcadAE/AzZDEaBj6P4CwU03385qASLKr0fhY2 mvr84jEjXCGuFVMlSv/aroR6r0r8Ys8Up/9VwDfPIupiX9fkPEko8wO7ya0Bn21OgHypb2/q6zPu 4RmjObqdOTqEjC9oEj2ZUosgRQknxq82XPutF7JN5TIbReS9n0B0cUkciBlvwfyFSYNgNn1dxes/ XqiQ5jGa+SRhbxZzaE17DLLO1Oz9xkRoLq3B/RjVZ+3fRf7fuu//+LPDlESPbpWL3WvyM3STdKsE gYw7h1XGKffWOeAHwvyOPLS6lQ1Hrosr53Ph328dVP4eGO+j+QdPjVjZK8A7I5Gb+3sfanUALaE0 VFFQCZ4PS7nmOioUyCxStMJNC+6OoLSiJa5b12Dt/e8kUdkueMmu/7om5665io612YWLNe/dP1RW 4x/aSkjV3bA4nci0EAgoUVxlp95eW7BaAnhxk0HLLn3hNViyKcjTQezQzHaXXhSIWcSGQuZ0NLjv CKRouDpfaz49MHTNaSvaF0OueAym2SF4N6GvnerVrGq9VF65WZUgHmGJOA9kWGvSOxp7qRAna6Ms XOHVr8xkdqEdnxynKNhCNtNuv7TFmRl6fEKyW9XXH5uZt2Xb317QUpsmSFEx6CwKOPxQcmBvha8W Q41ozdYGtZxAdo9lSOtjF1zYUNFwwGdrUEaBLdhyKofa1jqSyWQo3RTjxtNTJdO4LGpZ5bE5W+gP sEpGxEcvPuSv/KyoYMLoUoaUmv4+VHYp30xsAjNzV+VTtpqgaKjnY99Lln41QSwBr68lTG879gNf RLJRyj/0E4zgzA/q/zbcGqOfkKl1lAUKG7UuRvgfWpviiawOGUvPw3AH6lSTzqfJM9zxqUCbyiyL 1Sh+A1GXtAgRLXqaTNfxAsErYkCoJayL8wiBsPB5M+YiWdRls7dS8gEUwVhpKXILg5koTt/1uEfM PM3y1wI2yDPa0svzDLnDtd2AEWVVTVLq8e1sIfGpQHHXFhj0bXfkH5z6pjpls4ePpA4JG+UKslJd dvtYoC75hF4Bi8egrJ0hY0WrS3rZWFVmKE1p69/Wwn3ZTN1DPEYyPCQAT+Ek8inR2YxjF4llBr3l k241hRIZpocIxhdrOzcdIFDdu0syIKDM4n/6VothOmGLpv4w7FRB8aX9ECDVjNYI7nXIqUB2j66T zwqvM24csp6ONZgw0eGAXAZic325af3qMkEU3+kOXYRKIKkA4lZYHAiAjPZfSdSn8tysgPoc4l7N 7umuaopL8q92e7KbhKpyU1yWBjgSf+SyJwuzWLSbBqAN5F51SfOxVX3U0AoQQiv4SyFjONenWIoo 8mAYGoXMM54qeg2yt4/GD7glyxnfuEziJxetoRYco1Tan/4B1GCzfsWy/7kS4Lq2xeC7UXEcvUke U+KwYfk5JBY90T45uZHWpovC67JfIQsmLYTwB573GC5sDAcqkqB83R+5dJAvoSmy4P8dFuDXnIYd fv2rQJO1a+VLKVWEj7xI6ju2h1scQYWhX5bi912Ly3yjqIHrJCBuirXixRSr6YR3am6JxJgTfogj yukjggzOd3E/nHB3heU6Lc3cvlT6F4NiNqtnEHsTVNVyvCk+vbnkbdc6/avU2pZ0yw21GLFatbQK YTlPahpMAWGIB92MJKG4rtGp/sYVg9x1bk/QvYHvDF3NlnZEtX3Idr5v1XeZOguDfw+7NaCoZefO G2XxK4kic+Q92YeH5akhMH7USRVo5XRRViYOhclQtot1/kAMUjF1UfZutvJp/DgSAfyG/qLROhkQ OoEDVdI5gvtyaykC/fnq5L3Yg4frDo+sWoPYiboOy4jQ4dwSmULlFANWqHFlRYdVlfV45FnzPPw/ VOgChsa3vxeOG0GUNNSCRggAfzpVUTXEPrgRkm9mpE/VL4g8gyjjXByNmM46gSaAmraBQEp/tC9E Uk4ukhMnCi4DuXaJML+yBS2TELJ4gwSDHTLUitGonHnP5eEk87FVcjoliVG/mkjAWz2w7acer+Zf mVW+GxYXu4HxebhQhAOX/Bsc2ahQxNxEQTMZKgIfrDW3dVkEoDpI+1tDbSN7kkvtOjJrPNlZtmbY nPiwtDXNjHP7WmKNqFCC+84sH+Ko431Sx9z0BCTBvFFcjgTxion2o2D0N3h0YerRq01T9l3kjBIx MTpJBpuE8j2AlO8z0oZZLD/38puQ1UAdOoXMmU03oP22SvG6gKVQTTt8fvB0bthaApho98vonyTN WXQGQu8ngKznLxcT/elBgKRAGk/FhfXOQ36J8PAJDlw22thQnFjl/NYQFlg1whFeP0VMPda3K1kD RFMO3zclNTl7cEMesqppePS5Job6uaWCLYtWGgtuXMfc6nCccHZblXtcKM8aeThvU0NuLupDi1Di 2T0BsgLVemn/PXc/P9IZ4qWD687hYB96njcYR0RAb8PXVM0LkU7XN93VAq8mAtBtffclR60D9VIh EaFBS1QHKsFqUFo0f3sn0e6dX5x2VlXRPy7T5xx6gOVeZXfrV0uLsRJnGggTkLYCUvhjxDhBLnoi cOIlFqKEFWprJS/B7QJpi+KSzmlRgV6bxNWuR6HRlnJLJOsR2y50Tmdd7XcZSC940UImdxvVbhJf QMN5vholLtngsyjl41X7N2Jkb9iwuN2lZ/ODui47y2qr4/5cWP6QHIlNRInpkxmOI8vhQ3+6Rx2C 2Z1zI7DXriGyh0jwmHka9tLSCL1hmtjdDZd+iPRldTVOclkeBLHPM85ZfH26xWdaJ7KbgXNcqxQt cM00vVYYnoFQ5UzUBCDIg4YNSxbTcdwOHQGXavh72louOCMcQuy5gX6qCrXJ0fxVDnw94Qhg2yEx A0RuJ50Q4m6LY1iPojRIHWSXQaJDVinyMcylXLFhNIu1nsLsF8QzwZkE+IO6jtTXeDWxe01wcrxa ddVPut4lUg83tf/+zOSs65+JJXFGYpGT2Qs0//fcnrcBDMKFHaJr/KPYZ0RtzvRh+Gzm8ne6O29d l+huhIscEBIjyFKKJ4Im/5qqFQkJzyH0D5q3qJfzzrt3BLK+5DyHJhiFa9jQmV8/IDs98WuT4QCg Ik5FGE9sIIlY2n9ruCzqS2J10uMptCknbyihCdoRqnn/jDOdMETdxUWtBMTnHlP9sXTJMm0iRGEd qbX9Nq4R6XaXQhSGkC9num1/2NlFkuUfiv6dntMwtimzjB6E8kCw58gU66VJoPHR/Se5tEVL0qIe X4J9Eu0biVs2tTxuZ12re30e6wx2wqYz4FJ18wV+IxW6LuHD6+G5pLFKvC7BYFSkrkv29sXjfnyK FrUjecilE7dc3jo2Le3Rbq6Z39renDCGk817Xk+A43bbWTJouVjNJQNv/4cPcvYF07aMQeVawIlA UqFL2yR8zxM9rNZf3qmnOOTlTWhGOddanCfgo8PrMHY28iFo6DA3PhPpNVVw/2diYF5gSB1IXNMF wwOfmCGvKXYFbSxOLSey4kBqAt+d48Wl8l0LHdRf/LFcxzcx43dXj5bhbkUvvkqN0QGRUClKM+79 p9IXzsxWdA+6pY6DsnBlywUb4S354ZCSAQEWmoNI5zHKKHo6QvZ7sfVYY82ecbE+FDXGBF88AcoH Aj7pOtXBoTlmFXRBtbfAyztcqv1BTkcl+wa41UFlRwFs6jztHEmn2d/3pD1EQvHZqvmGDziQcjrn 95F8XOSI0/yDc+eZsa/fePSTxMvZgmGTRq99u+3WDqQwxaj6zhEGog2EnZ6GZRuQUTP41CQyOnWg wZYYTS8IPEH7/Alvl6GKdOvHC0i1mUdh7TKcuuxCr5Y8locJNMWfTDKWw0Mu4j8qA30HC1RNS30+ IQB8lDLcEk1/LSY6tbsq8axY88zmxp75LVQgTi8ZA3gACLtJXf/iuslzPo1EqYAwR1TJXF33AH// NfT8cvtdmtR+4iCjQe02fRwrys/mep7SGho12UL4XwhmguKemMqhlLRWdMwBrxpGGmcaNowpt2JC Jf9RM5fhfagK5dTNFBS7goimzxzapExg8akhOeSAJLzlhdGrOlGfxs6vqHrq5AR4fJxWQhp8SZyo jaGdRuSWazFltl91Y2o+eEySL5S0w+0IevukM/fQcjaQopAR+HuN+jzuzC1kXe6k22U+Z8Pt/cEl nundKoxDM6PtrGsDvQ0TngGxYOoli0mzB4yG0ML7eAvj5mztfuXqmNL4Idk3kdtrkIMJ2XPrd1Sz 0Vg1JeZ2Hf50wNFhNgIUKESYjCc1wxNq2kuQ1ksts0CMWYHc7sMHgUoAGVf8fHmQu1JUMop31Xtu ssjyaQthh+KGtkBhTBeOtTUAxvwLrBJ4kp2BydDYh+mJ0+S9hoMQiH78gcABJC0zxpdYAuvCRazK k04bJnMrv3/XF9EHKbGujPQZ63QiSKdAtl0BKr8223liCPyyekreoTiqv3xKak2m79bxvluPIF8r jv/Vq4HESgQsxmGXe6p5aFmP2qptH1iDlSNweuJoZ3Co1iHDbTyUufp0313bPmCvlaeaIeQ7qKaM +M8ylfkKFoNwUIiYhjCen7vOjqxTowcXS4Kb4CohLRE5it13Nw9cugAvJT8yxe406O0blWXFoEmK pGymqX7P2V3baGWJ+TL6tiZvteIoAyE9lTqV6IDX70c/Jngh/hsOeJs8CPv1or9MuOjDDrdVUuim NI8L4l8Fteamq0VR/Iyrilx7saZiBC93Xuk+yR+qiP2RA/opBfLUze8ADfHEmSFBdYBR9uKYW2nE 30R8pPvxAe+6Qfv3CI7IZuIsjTEbzPQiLCh4loTzvHABFWzw11NmZK8/IBk0DyDWyj3U6t8tgR1U RO1fIvVmJJGf8uyq07OK4y4P2j9h3fg2jGvjkZ/NebaevYLywEVPtKlTgdEkzBj77tfNBY7qgf6O dVxIEtHs8tGbdZOWaxP7oZM4kIczTQOxEufVIIzSCiMXQcmDE68ZcBDGZN1SrVV2mq368eLNe0a5 5TNcmp+Dmglj1859bfkr8I42EBbkZjspHpYVk7PCcpmEamIwUBxz4KBvyaUPzmVkQXKcckrdXT7a bAkiJHv1lhQTrOLC+wGGB4Ip3bxXwsKqRmwUMIVWQmMBTSiTYy3hjG08faKI0Z+RpA9Gj3Yzae7n KpY8ApGheVLgKY6p4x/85QI+l5AIYMIiTejm7Vw2h2nk7VGpe+25af4JOYn/Om9ETSbwr3m27Yfl NWtD6kzxdhP3jwcyl3VCY/REmOcGx8zlJX4Oj2HP4dN2ANv44qxZ7+jgBi6+a6mJ7lQUDGX68R0W mnC/4CYQn7jwbaSo+mZa4b5MQoGmEbyEt4AmzlBQwGbr0Y8PqZ+qvpyYeg0f6lNgqndgAPvtYnrl x3QB6hvhRl60/L4At03PJWjxas4i9sV8YNETGyxnmaw7ipCO4V1FCMorCBX+lkNi1cEM6n74MVrF cGboHCVvfo8e/yNhQvYhQMyMMG9BjGKbkQ4SbaSKodHxP3YaUbyyIG3qG91eU2DyWrBrH6w3nlWV ws8keW9vGWKyy6qEtDzRIcqD+KdceCYQCUi66PxBO6mpSnrH8l2uxNPSOINOkF95GP9h6ao9jKKV f/HLanRbJnwKHwyxV/ZmQnYjlEoH0Zrs/qCqa5+m7KMk19Qzds3cVifozFUI0E7O6YhUzHCr3oY5 JpsR+QeKHhbUV3+Li6J5eSqadrn3/FMDADvbcodJ6vBO5Pc5X+WYW4EI8ziSpB9Ul5CfPZjDLzn5 j5pzKH+5z4YMz8H4tenUru/NDkDv4LA/OACsLZave/7a9ys/YeAfj2EyWADcoaxv9Nq/rxWGuvOJ VunViBqloTm91dhECfHwbe6HV/sgmM4n7HOk6sXe/q9IYdRXIGh+d1DENnNmVGO4Z1+hIWpTQfeu 4SgZr9K+wtZDjvkz6lmQ1+kDItZk7a8UUYAbRYMN0H/QHndOCyaxZ+vHfjDVJ26YiMP11oHmR94i h/KKSTyXGCwjZvpA6vzCGa0CPeuraazsguAnxAssyJFiMfmR2fousHKjqVtHN8Z+cHMM5HiCB0ul z1OLgChQ5pwgn2SaipSxiJbvEUqfvDeqcojRR5dzkCeHVvQp9BPGhS4N/s7b84egQFTSsE3+8yor JbmC4n9FKUxKYN/07w/LteOQl8NA7Kq4YwRL1OtRgjsugk+Sko3Jb6bK5GzD+gXdF59hxKnLMzqq TWpwJWYEDAawpffU4CqooukvhVfgXO1v1YXYal3k6FfRGlJyrqDoT+aueH73ng4ta1M2PWnJ+mGW oMAfFS3SAgsRjROAL4VcNRNdevaf+k5/iLbsW+wbl7RV5yfrJG1BA5Bdm2oJXBu8nD2sghIAZbo7 7CEY0uf4U8tpcmI9kv4kX1xGRFvIj1BtiV9VPBhHP6w3fsKZvri53H+Ukt7B7C+RbO4maMCwPuhl nI/qfS6nN9mrW1ID4Geg5UPMrCkFFfT9IuKRMbGCMDXCQqQ5pMLvkjNeWB7irDtHVwCCtkVlBJ7v 0O4pyhSHL5NuI0jeZgfIEOTE3xt2Nr/2Z08ieZrpyoKE1BnQiOn4H5zy8pSSvEOw+Cg6JeA0tMi7 FAUgM4LcFVjnJzksaHuuylyTOqL63WEpilOeW0apQC8+NUbrXEIOiRyR81+IzcZsZ7ewbFS3pzd8 a5+uLsN8eDKJW8O7vqkBNLIAtULJ4FWUYO8rgRP55C54TQ7xTpMRrtnKcfTkgA8eyy0BK4ILJdBL VjgOt5EKLZnITdst+jpYCu3A4suFKAkgd0iunZpVN4dQqVw1myYSVXt+VBB/if2ayoGRe/OB59IH 2IOfNx2QiNXsT9ssIVVq/QzLOL6KQ/1rMrw6YVr8cV8GkwdXvluLvyA/y5fBfXfnXSXaNMoathcp P7ZcUQtufPxJ1vbod3gbFtjZIueYIOcLSMtVA5byZaEOTnnyfD9y8fxki0AMDv1pTgy0+NYGpuc3 Nq4J8oNe3qxZAE1CG2UkRO8Bcs2Ugvtdj9oMmkQ/IASFz0Yao5jpWUx3pgQAUpzTWkhVolSQBN+o +5g+f6qoQBfV5B8ttx6sznI75ihutPm4PZxlAe8PP8gwFUexxKeMrVN7sezi8ioD1WqMQtn7vSVn hdPksQguKtFRtqlLDJ0ue3W5YanCTpz0j3zGX7+XTXBKuYJ6TNel4F16mEW1rTsXSBhdN3Un1usz mLUTr7wrDyG9Xz1mkX4u36+pon51NHGstqJaLC4hUK6sOHru1Ph6fYn7lI4uJkMnOGrFrstPFipW Z1hAdM+YkuEv9EMVAd0XwgYmFWX9ZY1BgJ+eShW838Pi0O82RAAh6BCDn8rE8T5t3HqfDGuhojDn 9Fkh85BSy/w5oX3o+2Ysy0J76G3P1/kcvI8OsTzcjThaqiaFfPT/lkV59JoY/fae+NI4ouPgOAiA ACVKcLt+HAAjCbapOf+DICiIzH954s8mGIGn7pEAtbeXd0X7NlfR4BYZQ8+o1BKaWZCTfkP9SfND mGG+wmBtRTJEPm/l3mUwMteCow3gLsP0YsFGdAv+FSQsMY9U9FbNMDB9Qkjk3sF8ordeor/WGgIp htIspn5mapmbFTudsR6rPH+P+STUP2jGaB83ljObaDMwqmHZUx5cd+KUzyEaUyrBNvpU31jCdtY3 uMd+di2BB3C6/zGUwd4C/4i1SF5k7VjBMn++nR2bGdx3duzpkj5+5eE5eKO+1Bq3Qgp6qWdMHv8b 3IKus6dPxVEKeC5xuYNZf6pB2zqTE6gXGBlvPO6/O6JdF9o4MaHgoQm5dnzyyCKXdnhE6WypH7RK K53x5RjiEbm2kF1Ywq4Zsffa88PkIquW5DoUIlWsH07q6uc+NnkameHZhxXEBwxvL5WDilwWntRf s7JEYGqh1/SDApp7AgdZaQ6ipDvasnoC7OPjeB9rq+3Uz9fmwooNz3//jRp1f9pPUSicyEHMWiPA 7aLPfS4II8yU17lBoNlm0+VEAFTu6iLbXS2tW2x9tMbQWBtGWoQB8wC4cJsK1wDDDroNJOXHfkvB Hs1N/cSvU27D/WCi4uZuKQdHE5Z9wEqocSB8fIZjRlaiYZNsdOkzavIx3XQs+xpV0xic5fNQDBf9 K/uArTmZUT8Bwy1duTF2cOLYDM/ulETFUqTYqANz7VmVfn95S5E+yBz+xhF5anaiSLv6H+Mc+t/Z ttBepz+aZ/7mr/t9z9jTfAnhtF97oz+rsh0hMZJqNig6yzLgel8f/4Uk9Xd16jWxTS1YGCtezfMi DLPz4eue8kzocmmIKrr/NwzEjkvvwCHkURERKJYwPzPpOuQ7+skd6hloki+NytbBDJ878qwumC6Y 12czgTaCJ/z+P6V0C0+3P7HZnxTjxAjC0K6CaTrFKoRpjAtT/MiJugp5oSD+J9txCaqeqMWDS6eq qW6zkeirMTQ7bZISVN5QkxBtbo/wqd0sw+vcR/KPwTCJdsQ13bgM0dzXfitzkR5udlBvH9ftHbll lRTc/By0hTxCKM+WCh5WYvP8pi95OAgdQ2Pxl07RUmTeJ+mJ6vCpTL+QitcsE1NhCmOPq6ZrdQBz f8Shfyj07FPLuz4oTDHco4DnpvohPjWf865VO/YZTnOqfgImHjsun4rRjNuvyZ2fecxpOQWavgAu VUNcQt4NlX2I95/Svf/0i8CwHDUBzEEM48sHK4vMSQVvQG3OYS1cQu4abmGz1WRbpUaH0hy86cjM bJ4yQw7OauiuRJ9MsfQOViQy4CJsifnfDAtMaKY7OcflOR97H4ZGVhXBJ0sRbZO7ZytfbQxWDo/2 AmdC6+ujhjQIUCA5GtyLAvZ48yQFxzIXkzE7BZWFFaqSslaFUODwk3WHuCm3/bHnf/6PwnJWkeKk Pn6pktNIRTZp9/KeY0RsxvD/AxKjg1+5SZ9sTjfpRw2y9TnyxW06ppjcaB56wkq/BNhBHuXyezp7 APHUdW1N4jTp6rYWtpZy1pnOik3n8MEaN2BVhVYM/zM6iSyK8hDB4cvOLzMPW39AMpto4ZYnvx/A 5CbOqlsye51i3fzxfiAR61vRnmkY892yKx/3maJebrGb72CsdnGR3epM8iOoWTivIjaNEyuUS83S U0qJLgbKRfW/pAIkLfycMxciMQ981MRjbgbFvrLMPNEPXVNIcmUTz48Vjgs8nKzYmQIS/wTvIed1 bVGF3M1yOMyzPL6a4lN0zy/srmqmHykqMkXDMH5G6dEd/W5KW65iEbBPSYH9ScNL6FIpUkjgRiGH 6Ni8MZL9rUJXS0PuHuXUDgijVo3hKX6Owkf86NtNrGUNDybYyJDFUYOsAQ3bU18V833wJrPP4PQa PKFVEQjT1azGpDo7KevPbnDADJRmUTu58QlVd7HSVX+8CwSY4WIGZTS9gctRGeU1A+O9b/k/duk9 R95UHN2hFUxh0nkahXn1RDX7Y25jDEDGuGaPePxotVVgCE5gn4wJjL5afAoxMZz2S5JYFBQmPfzc ZWwLrL/2mOVop0YppBO8KQIHSkFcp+DNF4HJYx8CCNUjWhGtJb3m2ELLU7V+nG8PlqzCWscyskIn 2PJrm0Sx5pDyM4GpJYCCa+jiKc0rJzE8xDaLcaOSwAfRCBYmniCpwHh7n8IbJ8R7WloT+F5lBkwN lSj4S226vUNiTBsnqfiuqoXiqkK7HrFtZxqHe8R0O3TdBzitNWHD3Q5Iie6CPspS15FxZ817VCUp jmv65UIdvQWpOHd2LsLello5RiK62VS3e2svdNA6lfPegOpmH6upcj2y11FDaaZ0uKUJKct2rDHu OsMAw/KXczY+wAJO934Iczm40vngcfWWjpg8SFN2PHRCIj698kq/7J3hOLj+2A0XFAvcFnMRTTXZ vPscZiWG0qLgW/npmZNl6rEfUM2o6eElQ8uFhn/VXvykJX2rjR0fBZAnpaXoeCN8qdb8eFYvnjre WPBonVPOEi0JwuLktGPdJfBWZJMAVv1OYu7yYMM6XsdHJ8T33YcwzFjXBQTs0NXY1G/NkgAVM2nh MGLxN3zklKNVImrBaWVMz+lL3LnEBzJIZBsU3bJ0pIwF29kuxygbWwZK4J3PJeUXKMK0AodFYxiA U6/cNIeoHA+6iP3Glurvv/n1uVMQwoVkiH+++zPc0zlQCes3o6/XmqYMTPA13bQKu/9si7f747ku rn7KLb+SxSadtrH42FpSjqUwX0YX3b+eBIJppuCExzZfSq9vdCej/x6Nu74Zt9XlVxjuOIKhNDqN jH369yJ2MA6FUWidLbSuBHjMzOeue8FfrQJyY6Kp8E3rCYL6erbUElxLYqK61KbDqFBHhTmC7dR/ zPMyo1S7JrjjQuvkq7s6ITTHpJhdlzxJf8/6ugl04QCz1ZUXQ25bcCwsF5AdxqR6tYNij8gjY3Ew ZZx+8M70MtqoLxAcfSOdFf6PR9/kojpKFWUk9k7Cbw3l1GnBNlrpavNWH6MnkGpu5w5Eee0q2/mG lMHD8fM8aomoPhkw5QyLFErfaad0wlO6d7tSdZhkjGsVFCmcjGTurlphi8rV8EEWuyzWxVMadTon T/XKZd690aFM4XcQ+qts8DhqPnJS3H/Zjs5RMBmeuUSWzrUY62kEaI1yCOwhUCT+BWt8gjnzwBvm 34yrpFdczGhPAkOBcLYS9wOeHYmGgs2BJRrkr+SXnqjw6ega8CWPTD0MvqMZlKII0A0rmTTpLd5e bNvNquBF1UahSG5Ri8Gp1UbR/xP20RuHFdmtKvh2bpbaX0A5fafp4D8MrWvSBkNCWKL4O7uCIjuA REdJ4e0HZ4jEngiP/n3jeVCqeQ5dbWnbN3pT7Yoaic1BG21OdZtqSE+JiTceA9ViGcTGpOMVotSP Wbk34VrxgSIgJTAZKAGV1leF0bf1iX7R1WkLMk6b5Oqmme7GZGT3Coct5p7LnyC0Y6OaSy5Ydreh kxb+CwApVVcVR06oVFfyMcrJHTtaesBa62YXX741U5dghYEUVJaAAHpLPY9OG+lQE8P6atnInAwm ZHYxMNK6CBDu+4/TaUhbhiePRQSgVtvmqr1bb2VIB7+jNNUmrI2F4VdscOMR4Olpwdlm+ZSalw8v Bn2z87HMWGvLhEtPO5QegE2pqQ/aDjTJaf1Piujto0G0C/qerl7I9msNcQfWfLhr3s+al+exEoAn B6x5dsypOrbKlfNmuiS6lCgN7GOiWV/AVGetj/msYoG4jx4esvXwAAl9e4CDFIBweXAGd1uodxjf VnGYqmN8v4bdvoHUDp7iWIEX3BvbgKrDrNKDsASIj2QAPQfYRp4E/aKHJyydjNjzDxeBq2uHd6t8 OMWmCySYHBdCbDQKZIxiKRwXnW2kvVSwk0mBKZfBZ5ZJOR9W5qWU47Jr07miTo1TLdfLwDuDN8JH kr4NRkwH4Sgrnp3+5uKMJyGUU3X/hL8WHQoZYUu8q0FIXjzxqe0X0OuLRm7pVVRAm1nDnCIKKUPp SECOD6KF5S/xKU4kUUbZAGwiksTM9PbHX8NsGd+LZjtJYs4jjCy/3ECsAPr6n9YXLOej7nxGK4lk wZNoLi8n5lzDELjjHsHuwb6FTVCBdSExRnY9wHc3n+lstMVcWv9DVvoS8xREigVrnjH+/n+CnJx7 IumelXEFrs0TiWkdQQMAwMvC8Riv68yQ+jZskRv9Tk17VkJ7uDfMwvthjLwXnoZUL3MwRe+V8iZh jLPkuMoLm3D3zIkVpehQs2edp0Qo+N7vYdyg7nD3XoJkH7TIyIMCrKqgL6V0m9GHriAVBIeSLGTm IUeufcAW6h++aF3jrhA0TqHI6MbRkX/5krbnQ3Clw4JfpSEuEEsoW2m+irRGLI4hs4FL/+T2DPu1 b61Xp702cYTKA3RngrJdkMsjjFx1FfnQfOVaI0o/MN8yZf9a55mqr4koPK3s2iLVL2KSyCfj++0L Twj4ahq9EA2Ht9HJr4Ok2xK6BkBdGxDTCJeICwbwCg7MN5A39baHlnfd3kr0WDAiQCwcjbY4YPZp bOe/7czrDdKagOCIK82Fr164De+XD8MogwPp6WqP4HRILKYKdin4+cOt3kW6qaStaUeuaKtl2Xw2 n7zKsxAxlBUUYRJqIUdsDmhSg2jlTeYAeFWNv4309CPbZ0zq2inq+lNpWeCDB/Dn1dlsYVwaN67R VdmtIPLW4hFiCq6Bm1pV/H4gi29Zbo6McxL4+8NqA+9Ax7aIho+hJbuJlrauqxo8D1nqoKLOf39j yHNmsVmrK6r+tuT8fMtZSpoVbmVuBZFR5iqAtZ7xl/eRsVQQHgnZg4et+Ws50UCkcA40PNN0/Tzg zUYLqOu4GCL0MaPyQyeIuu3VZ4EY43TYFfDNYJJbAqqUiPBR9hEWJgxEwXpWjBwa2+Wn4BN9iQed lwgX850NZ/AOox118ngcrEmkBLJ7Wxw14t4ZtKH9j5gxQ3dnRxA16kuRNBDecKXMUgaonxKPKxFS LU0ino0lh87DUfwrQz4tBsov7cv6gfeUC7mL1179odwkFBj82KbLXPvSnISBKRyoiKjPuNRdAL5o xHIX7FkGXXkvgPmQ9EvlIGlgjz8gZ6mhqnPHkISO/s+Uuj7kHRW8GJEW1GhdAl78ru4csC8C7ept 0+kxBLbf/to7b1Vc7dlAJhuF/D+jghjIQmztTSjM+qKD6PQEylG4z3wRPZ5oTRR9LGrparS1B1Gm m5mDqSa2UjnA0bAVpg+BvRdkmWiWL3HUHljsAUqY1tY422U2bbQ73l+Grxi+Ym82QYALF3/RYhrv +6JmNxXr2wrg6XWmSKlPGvF8bOA8y4BXmuV3jUvNIE1jnxoQaO7mZgN4xQGNON799AiN1G9v3iBW kQ1O+xdlrlSVNOCSx5xfy6Nj53fkpvTUGvsj+thFnRyIAaYLVrxvh9KbT1N2OOmDDv32sfGtCYnI w96vOI5RMa1tDcSmCn33t+n/fDNy4HTM5ZhBSddqCIFkEgYNoBNuYTbODHxuj2CNP+UyZdaveUYv vNcbaZl7PzVAhNWr0IUouDy/de7oKYz5dzyv6pw/7QQMrYkCivvOvRY3RyGZcofkwEgKMOQSOIbi inqswYzAC8ag1y6Dr8VDGuaqreuaeWV29zzl0U4zKnN+Hh0VAGe/T6f8ZEqOv0cePTOzE0Xv5gca aVswND4WKLKdg1yXE9uJjkBHzJM67it0+abmOSp/Ef1xsigAdepRrqCnobrlprwsuTuXmbsPRIeu MfiPAwvqNh2y1FbhTGuvEGu3uvwq22n6ESoSioKc7UdHpk08OAu8X9YnWm0zbQHaceard7Xii/q2 3Xnj9C4Zpk8UZq9Ok3nsmvK2281hoQ/PGeT+GlZSYiYc+gY5cBKF8N3rZVkPlUjMcZ8jzSjlmuGu USiClw4ewaBDP+bMqfzBmHL7fWjztpuVg1spOgxVVYIwloWEV2rsD1rPh8/d5WaPhWE7mbaxclr0 zuxkuJ6+8kb4XIrPswCfQPb/BfEetGtDFKLP7GO1axtQEvMs7UaxfUuzbodJP8EmxDnW7Bxnjfhk ieMkItV0MNfiqm61R8ziXLZqBUL7if+RSv6lx0i4J/PRziTGcV3wBSbUsjs+nzbVP/lk+GIv9Fgj KMHskYYfgYLZpKTRaGTr3BOScqchyEteS4PgtcKb13bp71Pm619k2PQUoV2aawNwSru9Md6NjQxn N7YCoRDHdyVISyJNu3Tx/Vg2bnCAtfPfGhrHAigYfBEek5yxWqLUUnYlqBpHoAKBV+e85mj/w7+7 MD4bw1WX8zDT+vL32DtOaqK9sWXhWSxqUYJFMBSSk5l/9S67qyuaJiZJu3aas6ravKNYNBbOjcxV aVfBTrh1pX5vB5dO3qH0neJPFeSejv1n3o10yOASGqLtDsuwJa5LCNFqArw/X4PFMJ9Eu8923H7u iSUOHV2axEhdsP6tpB+PZqwIIILPqqFEChrA9gPxyCBOt5MMpz5Hw3xQMS3RzsiIsquD1i9/bAtG 7fAYmfkRDAhkOrkI9mDOLp6Dcay+VaaUi3naYF2SgmcUmf+3xciZM6fsEbsCt6n9GO1qIp9rvDcY 2YLXdRh1g29LSEia8pt6DeUqIXVQKguCSeWwFhkWMsx6FeeamJpopLl52NeEvpxaUxe7Bfb7GRWT w81P581OBuSC/q6GY97pFA1SZ2Oo6VFAw7/oyxooHiu3k8+YQcHuc3CnCXeOlINQDCZDjIJE6OU+ gZh/qes2Wey8Ub+43qj09TC9wdmpm8LGwxDLOEu+seUYq9nZo7j/aX4N+MHHvQbOGLF+Czu66Oku zE0wTCLxpyEU9mtg5uaIig+tQaFvE/ziMmUKHPqzSawjPDfXKqe5u1QsboOBx7+Snwq/0YBpPyJF 3O22A2iSojppZlGijw1iaua2q34qsD9kmBca7Kp9IfqD6Wi2nJ4vDLrAd8LC7LZgbfK0MJ9eaKdH l2Y7Rf8EXhy4e4/CLgIwjs2swlSc3SMf3Ej96tV5/QntWRS5POEhtKe2zAr8nQSu+w6sZaxkfcWz o3XAD+l1YoIWZFz2Fpk0WZfbfiW9ZLllQMlH4ylLm1dqkOT6QiUKOnUYJsGfJ3N1TN7Dv/i3h87x W2NUBtyi8A2vt86Y22O0W1DvbkPPnAXLzGU34IerbnczdLJecipp9dAR6rxqtSt7O8oK+1AvzH4i u0HyNMXaSqnhPT5ZdXOiuv6jj9RnVWgkrTDCeTfutg97F27m8NDx/m7ukGm30A1ovE6Z3s89YN09 GpKkW/DT3SO0K1E4PHhOsIcdBJKZS/WOrGAe3658RkMrDAP8of7c2zjVHj8z+18+/NhzeiWVxxER ASh1bN9W9p9tlW0EEmniv9gBFLdDkUCQ999vuJmUbaXN83mGgkbisGwFop1Dsk3QX3etWZ8Bl7Nd rWrxZz4aEwkB07QeJKXMjR3RnVRP/Wvk5HHPxmpJ01i5i4iw1uhZbSMOpXWG1TY35gtRzoaWHfY7 6XcQNJpl+BSJ2Fb+iRaBMVEfYUzbTiHaMs6C0VWdDPFjxzxFmWNUG92PDz5Fue/V119sbxeoIRxQ E8BfsYYlSuD6Y0fRBCADrD9b2MsbILg5haUWqunZaBuqbRh4cWDSNWLwfrzqMeNy1FV9eT6suOf1 TsFMFGkz5+ZRiOW0AXclp9YAlcC8asn++OCVPYwpdI/CQJ1z56bcxxqqXsHBHLBG2E+uLB1MpuLx eeiNqKAYrWlURmoGAFpFCfs2w0Srp87ueyZlEW/4iRB6CZB96QIfRXzTyRRXxGbFhnv6OFmur1eb Tj0rkoRWvUhczHhv47QzrqUM6aGAzp0RoPHfuLlIG5NGaboMnANVANNHSaL+1iLtu+YD7ArZW/xw IZSl2lrEeuyUR3LA0XIYCwaUS81OW8Vsl0WJLSQj2+bIhJTupGNaCsE03/ruheaSKh5nZC2CrSZw kly2iRVLIwGwErLdEPjs/G7Wc6oGwDwXcFhC3nNNF8jpZMgYkKhjds1caepKAndmtAAN+BnqsTns 9r6srBLFomMfrL5RoXzdXnOoojmgS6HRXXo2Bua34gChWsI7e15BX+Y4/j3LV1wyrwH+wSCGnaoe kHnyM+2rhi7gaBjfzotok6+SRPgUph5aiAtl8lAhWZR+mOJe2QPe4ydsF9qmBxVeomv5AJjVa2Ks hQK6THKLMxW6jNjHHzL4rS9UGV7Rfyxp4p6UZ/Hw3cc6Lly4yp1V6awiizreh+/mSxFCGdZclrcx ADFfvX1ektzPC6pdYOY6T+OCgvzZZ0KsylRfiNlgvWZ2FmNtWfIBP3tj9QwmnOLQUJPE5eYJ1ipe y572mVY9jXfvVXJ7XuJXrIcfPknFio/L5CV8bCBr/Ow9cZrB3yHHtwwXYWXl4iI/GKideWRIeqRT b8d30Fo9wfpvzV14piIZ0OmaKQ7bIB5rSyjSiiF+f2xynrjHf0u6km1QA0UiYocp+hUN93ClQTq6 B09rH+aReNQzT/FUNBC4bivv3AxPcyYFSBgQUJ5wo6ZA9Q4bhwY7nt66mejL5uq9PQea6arsG4+d I2lvyzaRurUKgsfMM81RDnFacQICTvodpkash2e22hNJXxu0ztRmDlcmHEyypBu7QdVM8kr54Avl lPE8vqrKEof/5Ni6JYZ8MuU2z9KGz902QgX8/+ggIYh54yiFESAgEdi0dODYt6auamq0UHQbasue z5i8VZAgpNNNNjl8Ww0MweKT/afGcUH2zDIg4Z4bOv+8KCPRw71GxT6BnP0wt9RWdgLc51+hMpTq 7VEuMWNm3BNIU2o625uwbBt2GCBNLNyFJoNy99qYDR4blIcHBnjC2blrmi5BRL0jWsqW0Lhuqixk G6d45E/HDtvzsfxM3mtR6AS1pt+j/1D9dafX1QRBosi5moYZlXg0fabYetof23ny9Dirq4QWOtuw dwoK7wY2tmptRx07l+ezz41aGs7juDn8/eWC6SlDBCr7EMKRRVkJbELs9ERJXHkd95gEAt7QYvg3 WogPQ6mpmYMAONta9zeSOUxqhaD+lnqi1bm+YSi3cS4me4JMB+e4KcwkPW3yHFATdq4YQ5e8kxrI 7ABo+mMGQyZeau26SYliE9y/ki4VkD3+mLsfawhLqsCRZASQEyJOxZXnte4YRPeyhhB7jZVLIdGi ZERt07FuCHNdrh4YaWLdvh9S1GZGD0QpELWaxeuKeFmqPmzVgS2KHuwOH/+zn9jSP3A5dkWi6rch KDRM9Z7wz4QSpVQTCNdF1Ca9mGD3nPiukdP76DkPjwDsnkJEXFM1OyIVdfjBRGePEVo1TkMSSEUN lSjJ6mfsuphtcebmBqNDBKjljM/Xke7ItOUhPkhXlZRLPlVDtoCtiIA57d0FZJxB6SfYqLsATSur vfyMGKvTocuyZEXbDm9xlYF9I1W1HlEXi5W8eqnHQCqzzoedxzxGFCTmGlThK0jgqj5rdGhzF77+ pWc2I3dCExRUQbTeojj98B/C8DMRdgfUfFZC/lKkq6w5kdids+fGY3qTWRzFdYIzKgIYaVSs5XbE ArrOpa5qyxpZCae53eDLf+7Ud8Xu4CgBJ6BJJE3lbMhBJAoTZjT6mbC4CqhMKUZt3rJq+q6vwq80 nHbkTsD6505FEnqJvhKLkBzF+uM1M5HY82POIjPEZ8wJqUvzw7BK1hXliez67KHbbfFeOOjfPev2 AU8IhnSdEiSUZlMOvYlUloRvMCK5KK2AEUswopNjCZh76+Kiphy5Fc2tr7b9+yhwa8P/XGUkq9z8 3wL8gOkosnBvnSWSKrqp5wUk3BaOZoK4npSTa+Wwt3CCiO3+2OnRDa1qlBZQBtNfvIbC/kooEty8 deiAgblNGp7pVtZnS2gEFOigSPBdONYSWqARjrdlyOmbkdohuQXUCM+yXe1s/g69zkjx7nIqfDcX 0Ps6oJKzEHrCOSwbs967fmGG0Vk3GH8jpgvHWtDMAtcgHcimFVGal17QPAyGZKV4N1/W/6bo4v36 TaDH3OnKxvDK+lBYbDlSMJsoQXFLrLQ3VU2JgRhqMEG1VB3xgcky0dXFqKzGY3avTkik04lMiUo7 yBQ+85vjUlOA94zGZVnHHi9BoBM11+ZQSv2GggPlV09b2CXIgaslZKRc4RI6NjU6XZOUU1r6H0B3 VB4Fau9zOU/BeJRRs8bbTQmsb86L4rpQh+mHUbQAc8JGkb50kAbf7MlLZAOsCn7zioHKwfzGBZPi /J+KmO3EPtRPx1aND0GhdZzcF0xP70s2IlAmEx6j2tkj+eGbTqwB5/bDrIYdznq0Pijz/wL8DP1Q Ex6Ne2dirC6YuhSCj54rAW8zGwiLUmCoEgOY4xvTP6ffcj4VcKXCjVdcGe5YPnp3MqW/QrJYdbil qGZaV5PXC95dDT9Advu/J0xV1b7BWSsrIeRTQxSqmMkJuvQyPSYuvJR19Y4xMHwkq3AGLEfUzO/3 57wH7GPb2EL8vLWG6V2IjMy0ZQEkJSY8gUrkeisafx9nqVKHApXn+WCuXNwMksmgN9YnDv+X6LcX 9DLRDB2FfW3+0PXvojyIr1jZ0Nd0KkCLMs+tK2Oe3UcKU5mj0ynrUueRl74DYknqh/pBshH3av48 c8voUEDIEosI6B9ZdjkyQf6SW+w56VSMbrMtNw2mo1vkg3g9OkVYJ5t45uIquFkpWYP6OXaka1D4 GyY9x0S+Gv2lWwPHbBAFSyQVP0OhS2k4znNOkwM4x4oNrcJOf2/q3MffiRaSYBwApYPQqvRvGW9L fm4jeXTwzZTLOUb1O78BeeMcTpMBc12Swzk1aMDvQKhXis3L4N1KZEjaOgRI+Q7xyvjJ3NI6QxjR zPPNA1nfdxsl2VA342WOs8VcYy8LE/YQeRz98fBt7Y4ZkqYYxarjFncz/d1FiJ0ChKU/c7NfoEx2 OiXSoCAP1FtYXN59vG3q0goJUi2xZ2J8uT8Minm153W6NLIkuaLHXnDdTYgzGmpA8E/ntXGWCdz3 9hp8dEuqJo6JgJDFO9SFxG1J2SPIxQFqOkSEvUzXA4UMeyBNmOiXdqxPGyrmuwioeye9k1LrCO6Z /fSyB4q5uQYBS0hRuUXas3NilarXjDXGRKWawAR7yFWgATHP7/FEawQ3ac7t5SyePJDtu33vShEN mBcKwqNcMPVS6wjmadcI/ROc+ofP3aM6C9wwIjHcW/eObQGnABBtXWHLrtF1ZCnYxY6QnN77/yQe hvyf+k/1iCA5fZaZTXfKyMxFl3gw3tqNNkHzo+05Trt1wlqqUzaBZOjCjbZCw9q7eyibBUsTLIuj xc0Fa3qo+J18B9Lu94RiYmn1MiiBaQ8Y6EvCXm1q/aa55M8tDGy8ZN4+hwXSR7ph44XplYViNSJG 9VfPJEmm+uWn4vtvm7Cauqs3ucqqQdLibXR+pJH5f6/r6fr/ChL0ocSBw05DMnPLMoKDpPcQr3Ir p8z9ErW3XMjwGB/n43J/W6q4Y9hCCYTFKhESIpErL+FuxWP0ffGk3VSlspgmYyNzxwtS0i7mbWh0 s79mZokOSy/hCyPsHeAbUQzYXd68Q95tVJDAg7q9XqyT+2GgX90DnmtNv0xDpakK0ROfTin5EP0l s2vOflLuJe96y/SmYM4HKoAeb+1iE3TpwGYT7KYjnMbpLUtB9fa+RivMrrMFr8JxtpM2CdKRag+9 NseqF33Ux4Lm7gTnST0uhknhdAQsdAmuXZDw0wSywatlZQ2FYr/vs1K08k3+BEVEclxGmtauc5dn IJcC+iJ0w2JKsMhemN0ucCx1JgkGk4ppS7GSOLb2JZo9PKkXFzhkZxepYPjMLONEsfgzl9Srs6T4 RboVspGcFCRC5vyM764msiFqMKEQcc6PDRag+ykajPURarXk/0ybqk0JkbUi1ppS8iDB1HAF/f3n lueH7vCxoDp5bIFK+UzN2dqZIsG8luyJoL+E6vhWcMG/jLjT25H+MKrhz7ExsVy/d13cKMwog9VY cH0Q5p5bLMAzPUuwPachg2rvIFldVERQnZT1c8H43FWfMEScXXVLBoFBSMY8UZfqqfqsOYChVbU8 T+c2oHVRpg5YlY6ZtCxkN1nFJ8KayHyK3yEnhT9ML7uW5ywz37NoLg01Ixo23CQxf9N6TOG92ZSf 3vbnrzBjfXh+2/nxW8nS3/kCrfUmtLgHya4pLDeKl9uA+EUI9XjMkeUGF87kVap+CGDWwcOJUAgv 8N1ox80neMMkFJHRidcy+dcVuVgrPs2zsmTWuT7MN5ud3F572FDtta2+yHWJ3AWb2Nom5eCXSD9K ip25gN6mMsuwq7Zp+jnppjGfZhuYyzkZYLbhwPj2TYoyJZsJZnF6yG+iEFCHRfJSglZSp0EIlyqe 1Eu98m4w1L+Brx78E1F2qvmOsEuFs9SsLr3nwdSi1A6Kfqjmwod5cuaZTmVvvx9xeAMJI530hXg5 dwvO5a0aVqrf8ygH6eYAN09zOmDpmMZ5GFoVD10jTgu4kdRuXGd3nuLrDyn90r2QPy/16BYHWt8W /wlA9ZzS2/oIn9eQoacMbVtjWJM2IM5l4892+Y+NCW56/N/xCW32eMym7hzhGF5TAgvo9BzdZ1qd uwFZVdhUg2iHqp9zed4RQyXVgNITPOH3JWyqOk90nAeTB6vcUwwDMoQ+Oh+GuIgCJSc73gxJuHTD dDXmNY2iNMsoPHE8ODQ4PXtr+wR5OKZpHqdGvI+cCi0S0obbmeWEO1C66zEoQsSJkDnX8KZOUjYp dguwhmIMvBgJRqAuav/EvykbVECuCvNBfrup62ywIIGGbj6Iv9e1qxGGDgvxUpJAKSXlcPheVm3L QUUcNxZs1qafTT8jfDA55Pv1NrE4hS4Bj6rEnlHrJ0zgMNNob82jUAzVyogRTRRLmuUcREunIIqe 1J2hb7xdO71vhGG061zgbU41AWTHZVntNpLF8O7FS1ddWtTUO7/GeuT3LElmCUApC+YVfUmBkUkz bNSQwWS6CZLz31/1sZLUWABQ7lyv6woUe9T93CjQCQQs7uVb9yWz1lJrkv0YXnN6znyqB9uzb2C7 pSka8S1XbsxX9zPMqZZLQ3ozBkog9PaGllt1Ig2zeQ4xM989rOeITO3t6wJqM6i6GFVJe/JykjzO uyf+L82O15Q0Y113RL29Rn/Ofm7oppvtmilcCiJlbOG4xM075ZMYtziXF6mjr5S5iYMbPPo2gDjq lh8tyDPYiO238O5UX6fjDGhfyiDDMxdtbEjLfP/HE4z8Ru8MxJAlqb03YhC4PPb2O6Yd6keArikI BIsq2DfFFXGM6Pq/8XCEpXrmUIzBp8/uEzua70e1Ro5x80ydw3Q7h/Nxn079tzl+vujc2KOXYb0Y trij5rErtCUDGWL72hESlqSBI2rk9kcFdfs18E/0aY71iNN3qVuXyvaJytG+VqKSn/DlMBXBzHC0 x1WhFyHlFwRZOOH6ckYtm3LEq6zbyhYTBhjWVAueHL6D7nCyYsiXsiYPDvPFkkE66yYPaGhM6dm7 rwFwuUn9evsrMzxgGcvUXMaOKmadKXyWG14s0FjMKEqYllMF3e0wz+bCDxPOv921HiiOudn8+yYD GApafwOOUu0DkBRSKW3MMvniZLmnqJhW5AbZmlkv4+0VXyin/KyMPcdKlSQ+pQnCYOhQ/8UDvblt IyhbNZzneZPTTsD4SicVR3+TxFjNjFSIWmkYgVsqc9U5Dv6wfycdMrKoBgWtPccX37KOrX0H0SXj z2EcyuwWcYokCbo2SKkVyK9B0JrIYSZtWb6fbx1tUeUG+KnWT5APSyFaqCvh52lq3IZCd9TaEw6K m9PFz+2ckbB7o9NRHXUU5vRZTWJyAPSFDmraD3bmUg9RMsg93PlFmvVIBcYE8qK1FCIPeHU4m1zJ xcaoA2cW2jCIuTmeeujWN3cbCrU6zGqzAwUm51Pxkqi0Gf3dEhfPQZeIU1m7/8vzpEHxuyAXEfYF VR6DATUfjcrwcKO6fqUvbpxZ3lUyBojKsDV9OEqvrEUZ79ogB1CyvaeQmAy5jN2VgOfXTUljOLqH rJ+iZvkl6c2aFgpitC4ybIPqguvdJPs67UJ5WhCu+XAxjAhpvAqW7trPj8DiBiiVMGQe9qOhnh9M ilCAx9nEshSav98h+kJ2wQfoI5ytuYDhJull8OxdnM8vi7XI7qxL+lQ8TdYexC1gaPsOwGKI+FRG yYYKTJYjZxaIEM3GRgeBeeQrNIJOqnrDun7ux++tCN8mQqefjzX06q8ADFYFuaZCKB04Vm7UQ89b 1reAhBC5zvSuM7ABXJBsZBoahBaEGLKBE1WTf9nuxz8jBALQmPhRDVrX28iXTOLThoHRlbKvkA2Q X7NXVT4xMQ3iHDfTmnTVbCngpdepoWWmGxInTDh3Az7RLUTnlZjucGZHFlemnhOhR5CvkPd9Gv5G klO5ZEAP+a/fE2nQ7EBLT7LZkrXnqqpVnC9iofWfZTUXTdqVwqmj3lN3I9KUO+8DHnAzwHCxwzgE cHvnGC+oYM87TvZTRzaxGBIdJ/8Lilv8IETM8VV9PrajaflhW4nmSQhptdQOtq1J7RwdOqpyflZl WnJZXThjuD1wnBgIbo+Vkm+Fbj/GDHoPsUcIlqkjBFUYWt0+/lZqlUSYTzWh0xISXWPayHsRixbB fLprDCN3at6ynisrgZZTUipF1cKN+0luv7y/6Xa+BoUEKigFqU0RzlBPfWqJwf1kTsiQmwRyT/oc h/jEEN/qJjy3Gy9f7+BXPSUBQHJ1cKGu3kVO1Xz98mlfDqeccO+8al7cRm1B733ifSJHPx1kDTXi 84rvGRI+Jirx5gQouBoCgHcpxrDjxHDdOdR6OPRRFzENN/mpzGPVzBBs58BWiJYJFvD9aAHL8exa gm0mmAg7LawpsL+uFIJL5uYKN35Jp+C9bwhYGkuZEJejqKCt/7hx+OgwgJh88Rg2D1kw3JfMJqQG Tf1QLjreL3nKqIo81JIyn5XhupaoUCNmCExlJNMHoLrEmJX7KGPaSOo6A70Rff7853zYvT8IRjCb d30lzCzsVNjvHhPnYq4zReovcznJSbrN88iTW820Ge4N4qdBlcEsMvkZlUrAZ68++2XY6ovH9d12 E9vk+1VH9lVdSgPqDtxT/E1kcgj0LSmiRiT1lDMnYaRhZnOfrM/tD42OfBe+kl6MIbEr+cn+pPkD yN2yIRTyIbvxJs8K1HzJUoes0cr1WPkkYc5tESCDxpYIykd1z5zbNwedBVew3wZvxXdzDYEEeU9r 0cnvIAOnbUFeiwiFHV3jdj0jOG4nN/uv350CX1i3lWYbrZgdQjFiLOw/MU6Q4fOZ4CBljE22+fvE VSI8rsvH4oJCuR2p5cmsPU9ygbMh/f1eDW3n4DjnSo9ia5jCe2z8+DIJW1HjxuZ6hzGQ4rmvU4YZ bTB23FZiea93/D0N+jo3AJgy5str213nx9SNalwKvCtCVumTbkMztcXq94n1bTeswtOlFZ3Eie38 60DcKx8yzGRCC76Ea7mjOV6Pn0k4VCDUWEhC4ApCWt3yD4zu0QLq7Kkxo8peo5/9/9JOyOkiBbhf G4PeurbWpqz6DRp0TVQg+DPHJl426LoOEni3ZYAto7BhQFyJxfObj/tBiRqCbm7Z8lCK7txZu4yB IDp16sNdztpOT7sdb5FXecRxl1uqV4kTS1nm4VEAlFbt6+489ZqWYvlLk1VNqmfg0bRiC2rhINc2 6fF+uHkzLrmRK8qtHooFoDAtlxUvAULCBVPOhetbZ2nr3P1pZSGj6BjUpA0aBqryfM+lYR74RYNr G9trQnHShQUU1h9pqas7KKfV9i4Q0Jo6eMkpEQdYnaglLacYbctYrFEV5RMtwW9qUhU1GgCBDWJc yAiH8C02tKbQOmBSYSn1x7A0ufhcmV44CJdMkCwb4ZFUy55UcwR7B6x7DnQbHIZWTTJssrHL3j3b ojCYKn0a33MMnNJNqbqaXjQ5wnp3wg4waT0LU+1LOCkY2kfkUcOugkUcjajRkOhzx8qexj0AZ01b U+NdJRtHzjm1m7XGAquEUvuzKWn+4Plokhm2hAkPC4wTSXjbWEkcMAoeEC8zK8fARC2rgAAlSwax FPm0rJsQ+9vLRL5Q52zdr9lMNZ3QECM6HoidU6R8Be0m3BUlFZ2+m2Ied2tgYG07AyI5/pbtjevY ts4SQhSoZrvfHPQtHnbOxoCZEstSfeAwYmrdK9OYkFYq4hU4uQvNbFkhVykxxP5RnWhH7oewnA0l 4dqT/QcvT+EMakL8YOmE2+GguSLiRlOOgp70U3EjGQw+Q0hBb+XeVcIcAjP27nvgjQ4do3yBXB4f LJusRGRNFSyUIGCg5kepPbxUdnKi+hqKTvi77rXzqA9hNlqVTSbAXeQWUO9ALVKmZFIGN9CxGUp/ rTmvs/CUtl141O0etHNCviEm8i0EwM7GCGdTVODwGKOqsp6oVf7YvM7YHzCCY9qq75Eubosn3ApR qn+sQTUNAiT1+4H8ZnFd+xfrmvXWVB3sDIayQrUcInCVuFBGnzr1qBnpYtxjUJTOzdkmIizuaCJr MdJLQj4HMBSaAVTtqheKsgdmh1AmSG0enxPeyDA1QmHFUh1T+a6umhdmYhmmCXvw0WdTf7s2uU8y 8ExNbOJ5dtglAEOzL4CUTCaph6wrAouTAWejfxY/51++qm4JKF2Pm5C2PWI/R7JnqVqrPeMgw7x+ rtPIDyj+sEwNZ9cMBQc7LmXGccZq8oTLphynEMU7qO6+ouz7bguMQ+e6pUiTQ1Ucp8FJeVcl3KD5 iXxJaACAnIfsAT5uclI/sY9PZ2WyQUL3fKjxNXqHrjiOEU7BDvuepX1+AZn3TxGE51fCugcFbNRY V6Il4U6rsCv3VKjZfUvjMs+5GdtuR3FXZ866yvJjXKPU07wNeCgFpd9MBVfhz12jYZWVRuO1bJie uzFidiaQPM1XVWCtDVkHKRq+ytKbne4dXKu1qcti68/nxQMQPgnOHT5ZhsBcyscKE1bC/48oAWzT Lk3nMn2K0URxFeORiiyJrZ6Hr3dta7AM6B7eg07hJBjUDQKrhsr4BX/kh6k46xhuZFz4l6ZkP86Z n/JDrqmAKWEcNc8ylWQEUA+YRMn2DTYbLSrRMOT0ISBvzrSMz+gg320PgipgQE5ApGjlro/a4l7/ g8SkQ05zYR/SJb5zq57G+J996fSudQGxMmwExAsBx+9gu+YR+RkDJQYCIMCSKHA5KqHWT7/2OdR5 Hub4l+dVxUrOdWin+L8duXhz8CAcsYbl00rQmftAf6CoSSAb4Rd2/5mZdJeAl1g+uhn9YwrijGCb Cf6ul4igSh7Nni7TTsfqfWXBOZ8zIM8htBHrJiDl08BidSgMhe6x8AsRSRACkmnmTwRw0gvykoxB H233aM74PdMUdnO3szLIU4h9taRcy+6SvKwBHvO7D+QUPPvUzl4BLrjS/1jEkMxiYZEQqGDU1kWt LWHje+LdUe73wHnjWv29pggcSkTL3ZuQkhQkXDb+95Gw9gbg192TTVpylB5F6v4T1+1iTAlS7d+N 4wFpgApZYeO5pOk0SF+6dNSpVEJJP11unnlAWN8dSmoigPP20TBlq8/Czb3pG1vnKjPxWRjY7Ueh 1ONDMo1c9VS7MRMBfPPa8zXQoz4fs38BhQRUNjxuCqmkH1GQZKHXnPTadZVgEldbmjbIkDWco7n6 0FnIvknRy/ieondJSBhkMDy6l/bpWUffUJzmT/2mf8cIpCZOZdV9o6LP8FutWxHWKbF0nQ9lXFEr zH166hd3VhFIvAAOXcWMBqskk+AajDtCJARC9QQMm2RLYypoCq95AXM5vuorQTUk0No8zHq2S831 Ahrb6ohLzMu8sLnjkO5H6tfV1kV6sR0s3oAyLKPwKs4RMovLKhHxIvxyoMPGSjZRkmtAaHnS06yb sAEVqoNrxeHM9odKYfwEIUjDGdj8PsX5lxdyMwyjSXXPlLfNmw951T7j+b7DBfDE6gSXZGBBCYEI RfZ5t1psxMCQCxA47craWsaHGha3YeHSDFz6YuFUwohXXYtyhnGiF9T1FL5d/yPPFV8dRVzt3GfI t603/0gHesE6Vsm913hhLb8uys9Dvma28AZXTz8andzPCRKyx9Fo5rX4QaY0ZfaeqoEs/jP4fb2M XcvRXdlCCk5mfwWR2umqRL/eLCH2/DzCZMsXf+giZN6ETx4uYmPGr7JZm8CW1SPZ2+cTDu4xngDW T6GT5qLrVqZEfhiY/8EmlyAgX+sB4+Ht+TPQEGIrKtkaCzyregeK6zQQAh7/FzsoJ/+kwPn/c+yc eZsC3gGcIIkH+Ws/sp0mjcujEwZ9UtK6BXi8xDxUsncdDYULB2ak9kWpclFUJO4I7WQzxmUHHWdA yobn84G//LPOXEarmTLf3Qu6an5IadPG+nfIYXvrfbCHL0U5ZdlPKQ03ZzLZNIaF8UAof+h8sHno tsrI1gy/3e0cp7OFKtmUjc1RmFO4URxI/jG2jT+OTNMU4KuYyIsMukSS2eP9NWMFzPVdtlKCSqHy 9MivFVUsvnJQnJjBuI9tJJ3rrTkPib5oMpaGHe8D0SOWp94YGxEWydilmodz3haC7bpV0qEOI3YV 3eqLhvsT0/q/0JlyqW3uU0/MWcbK24tqqzxU1M/+d/vog3lKfIlF42DEKfZbLXoAdSI9yPToXnLj nfcKQIYiUOKa5ma8UPw7YClGE1YXfPxnGrBx99ehA8exKA2tWPPyWPO+5k+N3YpvqIMRA08Y0FXP WEhJZ+90nF1J6Ur35qCJNPEQKuh86eEEv18j1SaBNKgENuObeRT7i3n6VR4tAZEjuVGDy049NKjg BxnvEmoykbtpc8Ef/9Zprfmg5ga+HM908HKORIvePEYE3zRkLnTaMcia59YSaOnsAhL7JeWl2g+a C0XpioGHpHR1jtBIQ8IRlT5PBC635i3FlxStFj5evwAWSDN3jFrbbUnko4ZpzCRuIt5ukIngp568 NgXQ1nw8/JC0aU4CQKG7eBqP6UC5AQMf2rVHC0G/4TPastZEhvOn5m5Ew6xtxn4wvMYPsbfeMd/z lqaZtzTWh5W4EODDaF4EJfOHnImd3Z7oxppzTU92qAdNJpFo8H/HMRz//Q7+2RjX35pfMiNjiGC/ E54P0/7DbrLNoDLWKv/5xHuCas3uspPxDrEc3aVdgOcdDygNvLGoM/gl/sfW5NKwV80taqykn73Y yRY12ubtZAQzIGQpnPUYEW+N8jsVXnEH9P2XHnVjbczjxQ5OJ45EuPxnT6/slC+fE2k2VqrKzPD5 4W61lLu4aPKTzQ7hdoRaaCWvPFVKzdCUE/+VMWWuWx9mavQeGHC9i2lSkcioH++Ka2A3mW+s6z91 KHekXgeLGcVUxcVuamjun4MI1UfTmeY0FzjG8XdxCo9463tZtt/NX/PTHdunVkAPEiZCgk311Nzs WNsR9RLVN90rKP5vBeJ2qoAQg75oD5QOszQWSY2KJn++1U1LKIRWzDexBzeX9F76L3VwfnWeRFON 5ZwKxEVlY3LCSLfJWLAAP7IE+sFzTkevlDTnNwqg+VndCvM7iowBK0REZZY+EEF7oAuQ45JIQdV3 g8++mqHhyX1SsMnnpxRsZsnDWzvvmazymJiVTfrxbc65W8BTpA19+40YO/XEbfN5NzGbiy1L971E AfRF48TOTC3oaLozjvFMygVhuO4NU7lfXsl7RmXypsBRdfobpH9ovBXt9WScKNNShS2hloToyLId OWLhu6U/nNy3K5C9KrZ/x58xi6/QuoAds5H+OCWIjgbw9lyQo1pxu5+ye/NsMQ2v1bgWzOc1lqTb VfnGAznF4359Kp1pzaWbn3HY9DQzo6SabLK665uYwCozeeEcOYVI/zhFjSyi/T/aHg0Y4T1DlzbJ iyP7ZS924Emt/YHfSUCRCGhfFX8j/CF5oQWTEJK3TtgX3HQZqdtcpYt2jOG690aVGIgs00xHHScj 620KiJgKyx1UL2uDM5rQD2P3Kgoib95k7FcRpZ8lGlq9KKJlOs1CnXDmxoGXLSNnJ0+Vd5VYCzRH m2BuqHbZFFkIgdfQFnbfcCYqfLooGu6TZlSQ3xGt9hGdcU7w33XGUZllPzCn/y2E6uAQScUPrnZ3 RCWb45dINZpIccZBPhwmcS3wZp7a3Z8+9FtfWKfG4ZsqHBt1WRVlGGPNiR+a2MLTPttEjAr8vp46 sgOBm8qcHqoObQzTw/kAQyVMhHeBXDLhBud4lc2cb/FQf2TxHU0q4NakPZJpwdcN/c16LmWjjAsz E8zgbRQ6HyeJYTXnTYaXdYjhe6WRy0CTVscoTcCfVzUvNlva2RupsK0Xn3Pz9dKCci2NWrnKMI/Q Rkyw2EFgnopSz7zfcZxAaR5GGyjoms7jtY3j8Q6cpI32PgPttUPDBqEos0kmORC7V4vp85ldkdyo okxXgMQOjRq23EnnHyWsDl0c8owgdneietIYYvK6YmM1ENz94QrYhxVgHU1S2KejpwGpMcT5hn9n hNFUJWMTpMZw8SLpOORpy80bW/DjEeRJlm7a2KKdsCTMLu1Df7SMggWSMyKPpiHl3BD8yTxC2AuM y4N+ZLXZghUNJBj2lgACmPediLqls/Wqrw0KcAs7GStgfdyWEohAadfWV3hnMglsoz0ody4e9FqB pcl/bDdLbcmrPPhSG8CBtwQAYbsgHTSZw1ctKZStEmQw9QExLhtEULQJ5J2YnQpXii0BXislhN1W K1YGxLre8BVDlVvkCyUSLDLAKtoy4e5wmtCtcy8jTaWpoXDbUb57pVQAcZ+a9m5s63pYpPIFc6WP /Op6Rjz485HKZkoJh9XbB4W4n9nQOzbNRQLJCLUakOBz8cH+Wa559oM8Wa5o8IPg203AzRkzwmBj C57VH3X+Y/Vfd9IhCz0cWm9IeX7CVuxS7sdco/Xnrbp7ho3LnZ57zFb4K+hCnRgI+5P0TvAMkmne GSd6H3D11J6q/hj4GXekQ7iRtosOBTa1NEJuzcoTEJRfW7n5skOTO5o88cSlzPf3xwW3NBKO1QQS xwPMVLQf6aAg9cwqmmEiwWjNCv9uFMw5nhSPDYi9HCOenpxBCZIx6SpwUELnuS2eJp+Nzn9soT3Y SlEjGLxLsWnlawSl3OVQJtK9DAseSb03jkpz9Tlgf30toNu2RqgKoKwV66IsrsdnHHyVGdR8iGSX Yl9pqojuZGnQL2rJa86gsuFKy3uTCVG1Ut6BpggsdwrJmut7McWGTar61dcXXda9nut7e6v1Ikrp Pk6X7b3D2ewxT/NXZgrk5Y8ppfzunuWHvekjd6ROxkIJonY9ZPYgMWpkX/v9RhJeihEcFmwAnjtb FJP21JYopS+YeFKW/M7MDbJ5+A1iOKY48TQg8TUmAD2QWGQPNlt1chc9G2ZQaoq3OC/wkELXMF9a 8tG6lRjvJpmRKzaTS00NMzinkPHDTvQ/8YmhYLTfn23HlIQdgyyIhLFLA83Kzwn8TiegMOQOTg88 krcROzBn6MLJocqzb9QidF8TWy5uwHd7NhzVw3M26N0jlMNJ5MrJgXDt2utBwFABUaCOdPAHKE9/ CEHWzQDFkoTBAA8TMa+FLK/+tOFaWmlNFbHw+Ah3yusi3snfAlkZB81i4qUMNgP3jgkz7z/Ua6om pPcadIliXc0Uk4T1wp6e+iHjNBHzp33n9FIcbb7kbLuhx68lFtZzJia9VS6t7dol2jWJ5/bwlIAo uQatbJOHaHeGbD5/7BQIIZVrOXl5M5KqXM1EaDtFFiVZNT6ZJpt8r/iVm8M7KpG8YqC1rBuQuALI tzxljNNS8J60Mo6JvQyJ6oAR+TVnvd2Mo8Yns2oQi/X6GM7Eo/aN/Rv6REGhpI/P5Wi1+ksowecW VKAnC4n3MpdoR9UaQiYDA7tiWsTyTmtGMSiZQCEifwDZlYakepTMg2r0SMZ4owE2OSajrbquqpos VKSFmKxOouLwkPgmsRVGS8MVJyDJkXIwbckr24k2qpc02bnTnQ9uYcXIDUOTwTFrRmlC+1B3viQs bTlDngY5FnGf0IK+CrDHmE5Ocf5cWhCQUhDtKTqOiC6TmiegrFVepR2ja0ej3Vk11HNIKMX+z6q8 d+zEgeclycpfcZKDSEJrNau3OWr0M3c8g4pkg+SrJrV7HHcZijcVlo/gZimsY/FM1MTJsjKJsj5p VvlRYudEIoRysCF0x/4MKTZ5Pftj2MY82POKWqv5Ge/01eLPC+A5ZQui96BjXF85lBuI6nZ5Krl0 KBq7By84FeURIMp5x6W+UfAMP14jGhplVGR5gltGvIiCtjN62Ok6PwqFzmSGWUuaTB7nr3DpVCI+ TKATmXpova/akIAvXdg3FlP+5r5XToOdMKdRDT+l2TFZCcYiMIlfnVKdOB6z2x+hpy23sr7VK2hI mLUVIKSEv8s3rrEHvtKgc+mT0YJEp8DSf61+9LAscBO+pQiG0EWbZJHa7fIPImlp4gEzDi2iEMF0 0Xak6DB1/UcoDI6UmTgRIUI9bQm5jeCvlo71dewDxX7w1N3m5baCQgd8H+YLFtm5zZ1fLjG+xr17 nrvoOGg3sU6vKhRUHGZXYDs4IWWYxWZPygviAbqfFTLO8a27mWGCC6HRRDl1MVJ3QTmxGmGA/P+5 EPO359mq6BrfzFBQ0OiYNyiydVIWUL1uekWlzUE+SueToSSiTQsHyAUERWXGpeqkT2UfVzoePmjO zXsgU4DDpc6MIxVzQmxZW90fWreLUAmJl/Ct8AIud9aZSZescpLkqJcBgot5EQwFU6sbNE5XQpYN UPOyrc6gFpd3Qu7VOudlJ6P9Eew7DRP40vm9bVwn9Qt4X01paihqPBJIhUL8X09lKyBiZ4rYwR1G VIKkEOBeo+WS4GO5ub9j7SJO7XRn/PrCiGV5WU8HhxdH6kZNlYCYhLV4mWSWEXBVj4DFOlqV+ni4 F0s0/Ik1f5aF13YlUFM1d5ROj4q/+a9eC0EstuQIArLh/yTbjIuiPbFVxUn19WWLwaOK4PEvrRAq zo1ksyB8cSV1ddJ4vvg05HsJZrWbdWRvRAWVtM6QByM6KLsSZyO9b8A6VSbROhkhN+ma+XwKYHVI tMe31gxoYS4sz7V6E7h2YgPqtMSBEO4l2KpVAV6trauccY7MT+ex1Ud2wb8cebtkSx4y3dBOCxhP QVv3SCYkEk0nLOsx0thESFPNVJX+NaJH9j+xhPMAyn0WQADb9giG/75jVjAC8I0Iz0KahPVHsb6o 9wyEcnhCpWtI3Dh5i2DpzEF0jt2cWAA6JE0FLtK3BCGnjLpwhWmMJjWb72AacVLPnxgMg9zFLd3T QgBNfE7mcaICEk9oKx8Efly4HHfQFq+gH0gRJjaM/76KKCf4X5yl7vUSTJ/+UprUExKE4GEK7xfZ fdFQGT+kdvDAV8GnIFDSoW9zSIcJnGD9WmjYVzRSBtSI3yRZjcM47ntLkqtPlr9Ir1rlexXXNR6o p0kSWOvua81GlDbibhDWqFJitrZYzHDl76ApLcze5NIVD5OpS+OAd6lWgDw58ittC8Qp2O2NpsHC AnZTDfS1mm+03PX0aP/TnJPGWUR/5wni0BXG9rbSZLHIPx4a7HP5XiWiqfQRYBAbbUKWceIZgFfF Yr/trEjFQqwhZwxmLQ9W1195O14eDNeRt2TRFpQ86ZQYwAnnub7nYxGgsMXeR2dNKsH0sYin1Ro3 yU9WJQuvYkLOSk9VXtT+20E4wKADY0T3YNxApB3BJ3HJyyCETCsl2a+2rmIMKUAAfvJCACjVYK0k iCpwJEVq/1mAeySuMgO9QTl2Q1w23VbruSITrWDsh4dmCDseimw2Z+s6cbX7eRGKyes7qr0tDE8o ztsGdPSzxKcZNKUB97gRCXyHohYVfb+JsgRMVF/UfZbJUpTqCGqwQDjAxfyD86/bnY7BwDb2Onwj gC8k5Gg8GnY9nTCturHDLxVto0DHp7R0Fdm9K6qYpStONMCuF8EoYAEp+7TZBqWOeMEmU7egz6NJ t+AvwfOvtsxNmBpW5UyY15H1OMM5IgNqnLXG4fk324H4OdsV9Voujd5u/uA8fadCw/a8YhzIx0Xm j67VFD6zjhidGTkyrybIFSHOufIoUaXgVkzPhL6c1IYGXEmzkviPrycG2uf9Ahr3WKMh/aiXi9jz DAOVxMpAdMeLOWwCCKslWzx+7mof/POh5I+0zNIKuEysDiCtiwxwwe9EGNXinpUzx7K4eqQFGJbr ZeyKQZ+c/FHwnVj2yqp4TZhq7OCsqfOK1N4UffC5BcpC0FIFKzFy9nMizlBhJohFEyrjMSWC/eVF BAntxYfUHgRvNodkRSycpcqJ1MocFs8ASZT9THzp6zI+fPNCbVqkQuuG3TcFHnUOMie6ku/OdQvR kxcEe2hiYcz1lBU112opvnkg28FAwPVxV3M06hEgXOh/9FWemMixAe0ravP/eD+CDqUezEhGESBm ZMgZzlGNHPW1sztFvv2nU0Opm4ejpUK/vvUKj8f5OxAiAmb42RHlqn9hGvzwSIi0uZZN/ePqsRFD AcEiCB9f/GdYJps6QlgIwSQG6khafVlg5b7OUWbM3g8ZW5pw/3JR/IPUg0pVaD4RiZcEkARqQ/7M MAOnXipBI7IWruJJlGBL4Oogn3az2qrpI3zNm2UNhwK/uI8suVz/tDmqY7n44st41R/zhjV3+w59 /MJMrRPWPcc17i7zLwddcm+VGYLSn17L+WUnbuAHuyEsfktyIzRdjdRaMb0fFEaa84Tz24fqbUJq PzSjKOB9LHw5sJ0LutLHcQTL1m+tKSB+yLVmFi2OvMRHJC903gDBakAZy91I9PLcjtxz3FUsuLIX 3rWuAnayZF0/wO6JDxvPgTkGMItJHS+X9NDRDB8DKmvO1zl9Hgu97mnmMJGCWHc1FFEVT0wX0oOF B8hsfI3vfYv87FcOwFhOElc9ONmkoZkmDsvwBjKx6Xx81Kd8TerY4kdA2jO4iXxBKXUnMnhQS4XR 7UlBATIW5HKwu5DEgTbQghmp3hYsdqeDpCGB78yNX7NOcd+RZ9Q4g51+lG2498NDrMFbkHc3ncys mcGt/opK344+QFMjQCv+xwxsljFeB1YdcI0l1lXVKVkUlT/9FsBaWwRvlpd21BcbHmrv4x6bEGav ldSXq2zOM3o7Tepum7QDEIHDa9qlkEfigMcku+hWc+91gsrVcMt6VpJ11seHJRS/gRU0u0PdfJxq L5TgmKw1OtZOD6L2hqcBlR8WAT5qm9ulqQAel6spf062rTzxaYylC4JJ7Deh9+I1X2f3kEMpapxm oZM0s6c1VMjtXoGIvK/5G5WrQoZxtCnlD7dRg45a8gWHh4fef9SOItMqIDFW4brlYhABVWathgeu zd7riAGd5gwshfmj7d0IgLsPr16fWWR5U7izXANE6QzbgcMYaGnOhR1hGplvJSJiQQp9DfsOyNWE khiiDyLWR86Z4JB5nd7ffslMqjJYPlZpAvFhnLPAW1a4OUnceDPVeLdR2GpzQ9BLmvlEE1m/yc8l IziLkO6DAy5c2ontZZD9Qa4vZkYs5QBPMnQ4DE8hfb1UNDOeFZo8plUWrpjLYe2QoHppDWRudzaR yHAqCjztPfmPv66vbLMbdqySauMuYPK9ShRfobj+P0wVGPNQF1cvMqqlWtRYnIPQjZsePqoxdF2z kITmJmYtWL0gCQxwVAH4J8BVgfECQ135q26a8Jrdui2AXlRT0RxQDGSqFCcZDy/RRU6V7jodhP8u s8kb6V+2VvSP21o7hTymQx4EmxOPcD+OiqX+mvgwgaMMcVh7sWmAoStHrXmZP484E1cWnX3SLOeF p6Hji+nEKzOmizzSXz0l9ADSw7HG80NENBiStcK3yvaF3LEeiGaJPqTNrN+R9viggxR6LTD9ExTN tTgoqBpRAvjMTY7jsA8BFg63gbs/YKBlM6uxidnxeKlc+dtw+mKiedz4TR7AF30HoO8mZkujRe71 cNJ7MWzDlC7jlGzz5ocENaPzF1xsW8GjJxJdbKQ5XMsaYbI0oTLzT9JtgFOpQuhDay7kEc8vR7jo SudyIuQtAUbrRWzX4/NM0gUfBgsivYnShNyx56X81fritVB0BQ0ZyPSNMrW4jD5+gYhQ4G23RUcz 9h/Wunb2trGdJjgZg5kPegS3HZkHyFDe+sSqF2q/tsopXGs+kyNcH0X+osZ9K4HE00Y2Xll0CHwB 5j44x4VIWhxCRTE6oFE9UnPBSr57cANPMGFwlv6ljcBX1lqSu6JHc1To62hD4zVQmkDKSiL9MO4A pjkUZ/86h8oc4WJLIoU5xP6deBImaZAP33nMEtz5Z08YJqQDKbbqScd9vVJNZCrFKc3v8w33c5WP eaHOY+RAG4vaiyXfRROEebDlFXSHRZsMlx+7CNtvcZBIbyJ4HFn/SO163fvZHGBSP2HfrxA13j+j 11qjp9cP/QY1AfMNEorVYLEGvczhf3HH75nx/qmPdc0PQe9n8Mg9IFvJzjlNHYQ95vvHscAR90CK 1FYlGPqyqCDBgSmvmTZYk5G9gr1jmX8u5OW0tCkUwfM7rKnDNIyTOh4Z/uiHrHyijgZiGs9a1kfk c1Tg6gTIwW6IkYy8vOFezYxHk64Oa9qdMd+y1+We8XcDbw61VoMo/XDuHigbv8xGzdAWb/UPQzGG iRmnY+bEBqwuOt60g6g2ggIGXpYB2L/w3R0hlkfuNuSaw0vGWMjjctPM7doWy6vEFge9leCW6VWh 6OhWVoFOd1gwKiwkX7BB1ShhSoQwb3vcHDxRlrbhYjRZ8Ne5vd/YtU13STRTA8gu8W8eb1LqIQZ2 f29Xh/JogW0wwHyzHZCgge+qDpAPxA4XSuiZ19+9MQ1JiivelSBQ8eVmXremPGn1k9QmU39v7Bls Wt5dcRNPzkUnh/TkqMjexEScf+e31bGP7n7C23lX4WS/f5ekrdH4PvX31ZIxLnlXArUm1BWz/Y4a ip5Or3mxShWvNkzKUIS19BnCIGrfwo2vj75joe0bkRMwmvW6i/Hihs4TreldO9M8ggEqrXxwpsRe /iSMjUMdGTSxmwiIPYPDOiXnHdeRCUFzlrxGHves+bJ+kGKU6zTQL+kFQFLXH+jbjAaXklRwZjmz +ug/I+eYYVF57KP0g8HEReEACQKoanDDkCYDykTS+rMV527Uy+YEHNcAif+fZY2w0gDYPsD/Z7nB tWEQiW2wIRXBo4f1/v3xyK1+G00bt2PvARRfiOIkreOGIH5a5U5teRxJZRSpNRV51i7KQmr3cwim 1zPBjnM/hdSEjXGUt/ugNpdIcXg49ZD8eI/BJuiI62GgNme/e5c8qEq6JYsDLjJQLhe/3wQ3g7E0 alHth5PwjDhelAxHD5AZqayyb8duRKfwb9kZmkusAtjZugflt6EiI8t6f/ksHAU7gQmbY62Kk99r 1qcOKTFTAJle7cvtyy2wnQvpgTPYMIIDEJSoWMaW+hHaDXyi8W2olUC6YraRk+d96+E5iSQABcQs qbEs5+s42ccCizn10eBDci5Le8iHyBttoHq1tYHIV4HBSxjAEKGi0+CLWPQxpJiDwGR0cJ80Woor pnIx7v+e966csud7d+hW6hWkkYSwg3jmYZk+waFoB9XtB6XY5mKnjIB/Qg9TmRvAsdlfJgfSpUZx T7ZJ9w/zfpCUp6GVkZ494y9V4FmSiNtCpD2V/3rKkzEti9CV2VkUiwsYYXMdIARWUTjc9MQJwZ/F z9+IkGKZl1Rv2KI5NLUQtUb2y3mC/zKOXWUvaAJ50B2OBM5XjNlNjzCxJ+rmUSc28NVSZTMxmfyy joWmGhy/R6g6jPV8OvdYu4pvzCdq8u6xBlsC3jD4W6a9ur8Zn6hOMsOAWde/ezRYVBfW0MdPPy31 N6DvXXObGrwJQdSUSk+wXEHGxxCqr15xY5R2S75yblTbFVKHnRdELuV+vPFg1Htrn3RCQhGprEQW Cibfzo9Mq/zfgHUFLSmZhQ8ooWUfauDbvtH10U9tI2kF+6ZbBdYExqaaV7RSS0pnXs7Myn9l7qlM bwVUfSYbfga1GwDVzgWUactem0hFGuezafqR7plad6N3gvI2ycKgAI+MSauf0Rm5tS69sTfvr+Nu DcLNmJdLu4Hc4mHUxxURLvL9AeZVtaWNF+dbYV1P3nmf3WR0vAki8r0gS+e4x1foWIXggfZmevE9 Zsqqj1EbrKJntNrBDeQ1T5ALfyauCiwMUXExE4g1joqzW3fy1l0y2cElH5WZknM4bxMczibpIDtw N9pJuA6yrLVqoa0A12C14j+dRURmbyBQnP9xM3+CVPq7NR10d+udtGTEWQEYxrSkB71PzbSkwgsB 2nXOkvW3N1ZZbKXWuTW7N4FgHpcPQV2hZd4Tf++B5BJ+w07GMoCioMxPwJ+NqSXupdOXSOIX6llO DBVq+k+/BekgF2sg36B3itt52BxImq34dIUwU4Z9pWTaUIBiGUNqTY05iRhav/D04KBRmt4FFbb8 W051OZTc2GwI5rUKfdQ4mq3KF9uQaNnuhLvHUZBAMUkv/goYv0ZQN0TpuFF4mUBlGeWdGXetaMso wQVA2PHiPmQLhCEu2EAsR9okTSkIIgQcdm5hn0P5KZj6dLWfQKtlTG6ffWf0anhzphI/K4I1T818 3U1j8Y7fsrm7TnVwyhNR0gzSzk926jbW5YZ2bHDyRedlAwbiHihxohQ1rYWJgPQYJi7TyQ9DBUl+ GgHGZfqRSYKPsbkoHySa9WIOp3TX/DEgW5AXJPn294n2a63Wsi2LCHzk3pFi3CB7kpKEVEgaSl6h Ya+cLee7S81hv6PHbBdNLbu3L4dPNu2V8aBYjfFLhUGXUZUQMr9kye37I05gC8RJs0hpeTv8FfVK ELwbWCfV55j1wBsIZgXGGKL/94NYEpkw4Za4imY0tTQiGlIveooX094kx7UvsE//WEMK7px9PkY2 FkbbzyYpemtSnRaJ2aery5qkJbZU+wFMHPFA0GDe3lwW3Fbt/ZI3E8bu/jBRExjokRyMHdqzqThI 0D2hacLwnGailqtPKwy5tl4EhadmBtliQmUcKxOulHySTcfoHZ/YnWrQPBZBiLPINvbhrXHZZYVZ A5yBF10kEV+LvEgMQwGO0+Jf5HHGlCctBqUhVTK4dBdy52zEd8zr1FUzSAigjG1czRf504NSeOIJ rJMabrSkGh2yQuvPxKWP0ZU7XrUIQ89oy3esAZLbAFKQPsPTYgQTz1fmpImj19aIz+z0C1EsV5zH WrF1GBD0CxE90IIZvav7ujAOwSIZ8MPec1k27ApPf79HQoK2RNYKwAoOTpunVauJAobioZ8keqUv 8B8bxvpbop4yZCauskcwSshmLau7XU5QM7Yu0edevTuiZyKjjIPGAd3qPNeARXGTXbHl8Jod8hru mXGIIRiM9rIIV+XmKoJWjNyrUQzeONK94SnTL6nQNoTVeJvbJj4nKZ1SvORR3LDzFykz8gikazDd 44xuTWTbxU7tsVg/NTR74QBNUjGVdiQDQkaXzlFF5W5OOE4zfQkte6JGM0iHudK6y1om/fQwkPrZ w+bv3C+9MSKn/2iIwjYAmjDQc8KaQJv13aeycAdGvrr8UkNePwaIFE0E+HYmhuKw0mJAGKfWnQjI 16juUEFUNJsyoWHNBhfW1ZgNFhQfNby783vNp3FX24OQtBzeu1YejkUNwSQBhOa53mKBD7Grjp6V tQnwfRodHN3Wq29VcUqdg8LkGwGdlmGV5PZzIxOH1nawGNYSlUg77TpPKJXNVPlWyHXQ0aa/EtwX 4RNTjs4eFt5ImeBeEjsN9Vr6Tpa8aK5+vAKvxFUZMQruaJWgMTghN5UdRUtA+q5MCu2RdQWAZVbl 6G2/1gdaYCt8FnDQxFwdHQV35MhZvye+snLNwsAbvZaei5c+D7LHcwpDdu95KqCUPhWvbv7qfEc2 x9X+ioZ2a1MQaoX6B91lbhGlj7YeDi6VDnNh3jUATVrj1lTWjpJCTOSfwFeMu/vHQyo7d9FroNHt nnRvbZmPIELJhfSauBYj10Adj2yP3cV3p0Qc+UN0V5qiwjw4Rb4Tc8+ZyjInXY6j8db6lRghxb5y TF+3VjUswR2AVv5tFVJhJ67YpqxZSARFpg/xfz+f/KrqizhPo/mQgAQnDEYGrYoQ2H6Tpg6YbGy4 9fdwkDisxiiDlMBhs+IIkFYe2kIaAhSNVwzcE0rSgHtcVa2gs2sIW/CWFbqfWRsoiE5p0hta44P7 BVNDaq+dxC6iKCVLFbVIcGCHltp0kmelxhlex188pAlA1cnrOOlcwW1pZNokCrWRjvix2qTrE//P J5qz+NZmNEvbCiQc2LARJ4lt+uJwKnVwb0ZgKVpt2pB01CFbaiSJabXdZXJ7fXbrynEEy2c4r2K2 /wddHx/4dW68UWEoZN8wsBVdiSCMWnlwaYvPhbAB02tD/OOSO48hputahvGa7pRZfmz4btCr7K4P QO8vRQhV/gxmgv8zwHRRojDeR3TFIIU6XcIv9lVZoRSSiG0bQW+qnXCl4WG+lHf6Nw9+7Oxo1IPk 3eeHJO11ey0GVJ6BsQBwD46+DkyXWmess2Uor4YQv6WmgM6AzZhE18OphzZ5ndsAscp5bX6gFpcB ndvl/kkT3iWmceH97PGfgqY9+ElSB6KeaFuokA8hJs7H3qJQEEF3CpnRDEfzLOGfg5aN/RSXTNot hmNu5emtqy4trESGXHP8k1GXkQixSPOmbTm1hEphG/q7RWu9oKuu+BQd6CNg5tr3xUxBjW+6G+xr 8iDE3CqHf1UUPW8xKLSIza/wF1QI+TgsRvmdkmv/fr4DwWDY1Zb9jXVa87owSmfQTOKx4IeMz/0P MXS9Z5jgqTCWavY+U5IWULzlxnSgRR2LQxtk/0XvRqo267lI/6XM0wRnx5J7MNV1zo8MzonUyQtZ VPuuu+3nPFDn0PfvcayqXzU0u9cmSTIwvLflsdbxErdB0By8lMiiFvBwX+640S9ZSO0DBzxJm8sr 95eN4DU04dQCT3k3L5tvYCKU84bMY1eTEhKIKqbYSTp+IcztSCa2r3zK36JtbeQ4/wre7LwCYd7w 8hl2lRdygMDSCgKR4HbJ6O4EWqPANeFJDV8ACkaU39cR8W2thM4yj94QNwjFl5VxmPSHdPBiLgvL DNvsQBfKyNGkc4/eQriMFYnWmXYzqW1mRGf701XQQptMUr2Xg5D0OeuD5MvFMIVq3nsP0OTil2qe pQ2GcVG95Fqp2k12NAS5LQt3bZlNULaKIR/mC467A2xbN8DlN8maHWE4uPllrToGXyanMrb7TnKX AT0JwC3dj6WudY7zrWz+XfH0m+Ho/eeX0fQWpR01euMBmhSq0pjnPUuxRjPwZM6oOWbkskeb/v9y X9Qv9eK4KtchUxH2k/GUmOpSReYKq/Tztq4Kd/NrHe2qrYZXhPe8wcHTWgMPxvC5ERnQ1qcCRXJH femMguNZ1VnUiNAAd240kKEyYKtW7Ray+dA2jH/SWVIMOB6OwySE9/2//0dzmiZRoe5c4jC8VXEo tTPeNaJ1JL92zoNWcGEEVrfHRBsPiawfEgzFGRjQG73cxGjeSuD76qvEbMUg11UcA8mRzGP4Oupx GuRF3oC8t4Wf++MSjrDyLLOQa9P8wiEZroFno+xAmJEvtmSRQTuAz95tJ/msIyIJjhtB7Y0qpjdx aSPCruyHKc9xc4NLvwF32pfucV6zPuL1EoFPAJLB32tep5ps/N8iepVNpazXOJznwDCtly6j+buo WlHIJIFTVFOlscPVQtmd22KZJBU6hYLnODcOinCrLq+oMDclYzqmzsJFDzn0YESBPR/8X/ZtKHy+ lfArokaHqkFxsVxsBJcwoBDRcJRVVoM5zkDi3c3sq4DuSZv89Kfkxql8D89aXhjOUmoB/2Qwo9Br h9E0Mr5DkT0jzoY524xECKl7N7c4NTihIaUwV2tjSMYh+8ZJIsYc4WXn5e56qfF7aV5gx+R5yOBT 9KCIPKWa+gKuDz2uYO0s+l0T6Ju+hWSiR4K76NK0K27LyhaCBhT+GjjAuCnkvDqCp5g+koMOybLW 2BF53QM2N3w4XkXH2YVoEyEe00o+MraxPdVRo+3vCysJaxNKjnIKv3Nqe9VzNxHv+6ns4dLFTVSB fNdVc94vK2vtbu+qvSFxCEhYmzBUNRhC9jZhgJqhJffE25MBFSsQhmAT0w+htCviPuNQjvhkCeSA 1HVttojFAnfrfgAFEw/4Dz2mxJS5jER7G5F7gpHBS6JRYSl314UcMYeQ05gFCCasgSG10rgK72WQ Xg7Ylx1KttWeAimXrwLglb9Z0O//G7C5yJWB7kJv9aC5RuRGQHpfJpbAhBFdI2Wu3foQcHu4Vp7C hXEFPmtPavDlFBGCLcIYjDtmPFTTCnTK3IWEGK2Mn1vyEN4J1zYkJp5x4zKaygA/4ULaEurubyjk t+qtevfmrgMFOJ7J1VGzJXRkgBmeVBIKej4cx72GRCH45h139C0DoNFWCWME0HWu1i2nW8921z5m 9E9hmVZRIC2sySXugDaUB5VwiSPswJbL7kvetbG8sOda1vQrHTKVL0qQRnuS/3pOnplfObDqeLfj NbhdEAS3wOjq/JnsPeRnN5fXtiEnSZ0LNnhKCburhcwxreEJtjw3CkNyxQ82PiytBrVV3/vW9f3f cDKKUg6SmYLznlwGo0gnPJFCXoPC1u5m7DSlDoaMQi+pcVdF41XciolFC4N0iizLV9g1WAu4MURq BD0/EzyMKtrK0j9r7EW/QL0NZom21wCtXyQ+IHDhoVZ+RAQkHon5KaSGsZPrY4SwJksddMyFKd2U 63YTvWCpCdiEeNMIwgvlj0lfvs8pz646mTVRn8tT//b/lJLarLddwgw2yxhhDdI75HZdn4yq0fbD xATbrLeuYMqaYch2qRsJtPgSSx37tmvuB6LtmTGFcxgeHtdl9hc2anbwaCnPEYMTql7tKA4DWJes dSQ88KOCzEJYrXw1+5ND5enwpUZVzCqgYfD67geHjeu1+IMKzuwF/uBzP4lViTWL8ZV4G5Bp9uCV FIEybITIlyhpVZkoh/7u14m5FbVW4jQBnwRzbTCLezdowFEaAwRKba3TvB4KP/DLkUlMWqXfbXSh XgF2PAYFVBDimAFM6BSyisrYweRRFCofPpGmqtwodSmrtQf2Hyyb5rXQiZ0oLAHZHx6Xevv9hc2P qakzr3mbZXKjO8+Qqe486T7dyN8kSxjpGHYRsathp3ynySgKN69YyFTvrEfS0TqscovPOCW1icOo 7h5IYkKv5kmS3LHQKIIUkZNC3ViE3rsn0dx7Q/rpjwedKu4Ld07euTwtEO6Vyhb6I7Ftk9Qye3Ze +lyajBbJAMCZOnDaq3Zfqr2tpGLiWPGv1MVTh0lpo8GaPdkdFC0jZsXhqzJUuGNSvYZQ3Y84gFb3 rlsLBrX96hcxgENkyMQSZVuWUd2qgGvJFPa3Kg/GJxuusG6ztN3VHc0myzRW9B4AcR9x56LqAOnX 2FCann2IUHKi6IP3BeCLgmsHWP8igfv/oQpldLwxhB/qycA9Mn7XN9MDriC6JaSn8PO9um5mLLVN efwL6Y3BITMIOyDYsLXnsAWmekw2uqHonYEYaQp+3YBewN+3hImO+fPMcs9vluHYzqoJNCqnIeoE LH2ovriMIE8Fe87/nseAtKP/ILY+24AfurKCsSqvYtD3qUsgb8zZtnbe2aoV5WoOrOPy0ZkTXP6i ltuv6KGhY9cVy45KqdRRphlwgdKP6b6wdQt+dk8P5Ogn4spRwqCQKMreI+brv2px3nwUsM9EjAMs xggudFa8eU8WcNTmLCnxKES43KJgwvp22ajV4XmeoJLPMltqIFfxvQwCwM2J8EnsSmTJcUxvRqWL 4+ubVk285WZPe2Ctsx0/3fx0eOSgmgaCzK8HIIeEYww/2MEg96DjNSp/4u0fV1yNLv9+d1V0R7wD 962/7GRQQc48bc5lFrttHtrnGGJfSrAwqIBVBE52NbSdTwhWiqbF+25BOJLLMqcTrt2MHNWMh13c PQX7j9XXli/OmvFO/lXaiXMW+CGroWs63h9Sjn+fJUR/2B+YZ8n/0CjeFH72FBQhco7a9hBtsdQO 5V8xNy7y4t0qiWMPNROLrEZOTRgCCezPUKKhaPcKTC23EspJwIVfdSwKRmGpWNBcrZ3TtAErJ/Q6 jx84OvQop2E9D1UnHj1ckoRktm+Ryt1HgvJwQrztC7LAvg5fW0w2FzSkw1M8lc6N35dMqxWMhwZn BK3jRrnRbX8Po1/wYM3GN7bpc2/OtVmolYW+bq7Cl/P650c8Zdfdkj93gHluv8lXtCT0YZWKf76K P/VLpRlP/2LO7VT2ShlE4Tck+dvmRaHSLbdTvsXRJmMOI5uJ/ZdFUpwPGSsaqBSQCYXRIsqsFPuy OuEuvEWcGwpXcGe/wOrfV2XfUpHCS+y8WtLbVuYub+J2cCVl1WakLzWHUJj4/M6DV0kZiyYVe4tk uPx8DJ/rymOqmERx+H5+rjnqokMXfQMKlqNNXJjoHZCbY90PvZ69ujToJ5ix0nyvfjOophNJswsi Kp66sQpMjoxT7ABRoMiQ3H8R5C0iPhNs3d1jGWatEhDIevG+yHwRDPR5hRTCjEdHrGWdnwvf+W85 rXk3Uzsi98LXVywTBdg1/ev5Fgog8qTW/wzatUy3341528b5hKBkBb33V/2xsUmwx+3zxo8Vkj6E EIz4nTm7AGxbfLj101mBZCrBRFyMIIA+8Bo1koCLA5zs5hcT66xHpl3K9AlqsvDJTwnGiEqfMx8M 8zQ2++hfo6Wi85x4YJCMhWMijDIAclB9uWtUce0qdI1euCDA1IfZ6a+N5qjn4pGnXgWxwBkd7H92 VxIph39paYKyEHSeS7oyjG/HQgap+0PL9XnXMzQMr2hU3w3V3RdTeDKbCD/NMTPEgYTbbf7yycq9 v7odpyu2Kb6h4yV7duu201qwvkW6GwpABxSZnMnF5LAdni5nL6Jxok7lZltHT99qg8+fZORuEMsj FAKFhxLeSjFPRdVve39loFTWrISXYo1SaU6NhPG8q+stGQl/TZWX7WW3d5RS4aP4nPb8LbK5fsit Z+rkH/adASc458iKhkTS19OHzi6ukp1WiikO4KFRTmHPHi9kOenS+uNtH19NlOqPn/NZWMReI4vG WVlgAz91AnltgzzqlxyQJsNm7ySLnjvI3v5/qJEiDl3KUuNqROZ63mGLnVAwtmwyta1JwPGOXaAx 9hpVHlZdz6r8SNJJfjoLvbxwyVlx3LK0kczaD6wbj/V8jMM5OBiNipavYh/rIm9uiQ7kJYpqvml/ Mr5p341aAsE/3VoSZa3sZluTSbaq9dbyoMft+mSSsVkjgmMgKN0A/jOujucG9VT8rFy5XTK1ujy9 xEyxJ5LPmap2UF5kNomsVt1DkT5HJ7KFegspy46zVszqktataYAuji4SG0vxvjErKTYZ3o+cC+s7 C/YkdobhnFhkfXzK3I8LsmG7u9EzMb+hpO35k7mAc9NbKGFH2DaGOZQ/QF4vPEMqZmVM7nMKj/F/ EiwtuY5j3RRUiI75KSfIWMPQ2NUK8kurtR0mOWaOMf4vjPN8Smbdor5jvdMFbK41uZUAz0kUtmNi lezCJwJCWrt12QcTyO7u3NHIRnZe/fyjBDVZvErqwz6ao4imGf2A4CEDsUC+Yl3VPMWAyftB5GGT Lre6CUTEqE0QOm/ygXLoc+THJc3awIbqfcc0pLgp/ZO9fxbDz4ojW2xzsLSUDYLcVfWvuVkMBt4A NohbXWlUiu5cQhnUsKYq9Az+JfoJA1JyD+nkXk1eGmDrSZnYYQe3z6GEsN8HSd+SVJElfv4j2cOO Cki79LB5MtSxXJ1fEIXa486FO+Z5gHR7two51KUAmkakn78tx2f9PHKdsPCVry32braAVFvzbLCo 0SSLSen8ahkn+V7tVBp5U+Cm+cRiQ7DKBoN0fh43adaYoXOv5PLeZo9zDdhhn9a687wdHq5TvIXm SPGF0ixTaVhpIkyoU7uToBAFzSK/syx/tGnBPqx8NzDiUBQI5QfqCA5lEuAGonld6Mt25SFKAcwa SWMNZ9ioEv4fGheArPlHXKxqFTYZXx8WeXI7P8Hjxvr/KDbJvTa2le9A4G+5USsDZca3PxMNKOsQ URh26gP+SjLFL8k490oGwRIcEFgroqKveRXc940ejrWOjIPuIH1JDtL2Z0myGEgK28YEz3YFkZHo zlUe1SMkQpgerjJtD5AURu4La0FEIs2VuOx346mX8oA052vrCGAK9afUuU3Fr9avQIPMF8WkZfCw xgsOf89VJMruQKf7tmHpOzjd/ViQoWIUf4JdvoPHFf6w5ik64sQg2DIk1H+zVHVQ5PlSMeuhZwtP 8D4AoBYWjZkJEmj3o0jrZAVJt1/tLg5GuY5hIs+SD6aSz8WBt37kCOgKCMBAqxv0Su6ILOWm/tZH oq1EBRs5p3WubZrFJC3WOx4OuB5PtDCSmGyqK4UwvxoR0hwNUx9X7NnlCZaff4JqZBG5Sf+LATd3 6qoQVbNeeV8+K+BmxXlpqc/Od1wgqiBRnCbE5g9XJjgjx1qFH0ImY7mplK7Emuxwwm7ll8nOYa0C 66AYtdMNtIFKopMsubnRYRckAKAfIb6p79Yq7ub5ys80Fs69JAYvNtoKeHgKcrXJiT5Lz6LvNpnP hZDcH+mYs28hc524yp6GrvM7g2MlszXwfvchlGxBxKAcLWW76oyyCaPLKiOSiDOJoHXr/MHYYRSo inXrAQLi3Ab0J4fLLCJ+63BB/FmocygmT6swfPDMZyHlHkQ9j5POwBaB3Wu3b+8B6jme165hKAky tX3OTtggNYWJHhndL3jwkRRj61GOIsHiEQtpzl0CHGMCKB7VMrB2BO+Ko18ylpmVeTY+2fkiExDX wafOOfSg8KNyjxMdnUmvFNcmmDPXVbJQRsm6vZYhMvL1zATr7x7vr2IUqHc/iLPPOugxS2sMdpUd z+cxKpGKEeP5qrCdx4J1HGjA8mG9CHpvmMAPmgKtm662LhBpDuDo4kJrrOZUYbfGsRzSF6gyBfV3 7HUoKnXi+q/V5uezufQlFnAYcelZAtJpniuTO2IdxBnf+ty28I27XYEtwS5PbLgFVzvwzZpd8qNy UX0LQaZ79pv5akPtfOZKgZ/2YxhFIP9M+ONqqgS432L6QsOWtNuW4t5cCiytT3Lh0hDe8xsgvI7+ 7Qhzx/SYalmXvG5MDmqGmh8J6OZKPTHb3R83CeBHdT2yYRw2kcyQ9Y9qDGSWQqRyUN7/BAFd1V0m 6spKjgSOawapGRA8v5bc2f4HlaLd0zVOdgH+7HLMoVmuymg8myBvhJ4HogIO7RI6NgSoH9cmotaG jLSoRYPEqYXlgDc4wF7WrlWGJPJSxkusK1crndUTFA69+juX8CVgw+v2WcXaijxFhz52xJhfUshm TzrhHCloEhHexRFzukMIB6uG4Jk9bhnhh5LOBjyhaLzlRdqrCVSdtMTFBNh6gPe6NbZKZMEhmlCW 7EWxlkM0rv5+GKsnJrF2050UL7AOf8EjBOaKrq62FiUAo0+Gl1sOOJGdmg6Dofqk7rgaRfsNgVKD OfVissRQS+zZWuQw+y6tsKqd7jU3/1TA/rwr9Eh71ApMhr/1yPyy6GtSdpySgyz5+UcBErgM4lPA LkWfVLkmR7k7ijWQqLYZ+7Tf2h3m2vCTUlw1+tt4pSR4d7DKA8wIElWojGn/80BU8MjBAitHhUD2 ZHsKGTubCg1jMRyZyL6zQVa4ALLGSikcHutf4cu4XDofWiI3nNvyNbiuHgrvdmvmGn79RUArR80X SCZniYxO2zNwCQr1YADtFZCZJ+nHu+6YaISMnMGyhrsaW47dhePEe6cN8YhW7RLDpY2NELt49clg QskCc0+0HGUC+AatYWftKnO2wGRQmIbD18cxyDg8572V6F0iSXvFdC79VeMfavgMajmV5vdplzIK +CZO5Va9bDaZKBaKJ1oC2fLWNcES7Kf2nCqoFt4zeubv6hEKaaEFU4PZmb477pnH8qWzNei2m6oa jP1TS/9vrl8QAA8AucRS7E6QOALNr4akwc0odzdjCTujOW1P+Wd8XpA22ONJSc9tyGq7zYaKOMS/ 9UajL0/lDwMfG/EkoMHccA69QYA5YH6CmH57l/EwNR5u+OgGIMs9we3U+1LBo2xKkk/SmmWDZJNj EOTW8fSoMvSyTZphlGlu78PUM6c7/E9VIgSaDrbiDX5EdNDybOY6QfNoKCsKh47LRyzSGJNEffVH bAwd8vH+Pil/q/HW9hsbmVazXIIDwtcO5RfuWDRUbKTrbODlQy7g1O6ZjdGeBotN3HTfkDgFpWeN 6+UjJLqPmlRP3lcVxO3a5huq5kUuO2vPuVWucJ3SXVY5pem/88rWD+z58kF6X/lkT4NP2WEEmjXK Rh9knb6mv6ZYSgWqVBv0PkIP596zlLSKIdCn+5TyZPjCLoV/zPRVnNXTPC7zKbIBDv9FZnZw+SNE b/q5Ws3go47KVb+PAtrdY/Uw786HA5diDsgJ/JwK9qlNq2rD7Dzx7xS3dhxqZSKNNf7DqwzvHh6C D1uhD9o6B1kFrk/VQ/4pCcot9A3834HAWl0iyMPDoVXIXcrm2hXIwNnhr+qZpdFA9s4gw921+m0i raOL3p2Rd5+apPzhiPpFrzuiqeTZo7AUlHxWEIB9f+7PmzVeEnPFyokaaIJdim40V8QQ2WpZvO9h k4+kDyZzmspbX6XNKTsp/hDOh3D7n4i9sDMWuPFX9UjAc5sOI1E7OOeNNT1oKML3C3Eu5Y68qCPN ybk0ZLHGiwkDyf/9NHXfbhvL4iwolquFKQzy2bMd9jjQ0fU3+3f4JMEEa6htFz0mkgxOby6BWGr1 X5Zzxxc3ee4uUJfp4j6P6tWx37ikaDlfgtlL+tQaducmfD3JXuFCF0qB86rN1aVQ0VaUPfxRgwUr otMgjRq4kN3TV8hNkA6mx/ewVQPwrzQQv23XlpuS2cokNFXlReLNxHyw5VkYlv2o2HGhbGUWGvEk 9RIfCwWmATdKGL/c7EHGLGjopudXEvXeDP+0WqjJt9gPuPxie7o1RN4MzjSYr9TYPLxuHXu0QiNg XgveuhisvvgvqRSMnt1AqDp5pIhpb9XFQ2JJotoNt618VSTtfJCZV4RlIsElD3q/gv6uVaRXPR4+ 7oM0PtP03hRQJHgJYTl7QDk7bsNxYzTxvHFzzIUavAfp7i/zRjQxPfy8YuvMBuYuJSlGkdGQAvDB yblbQqOg0AxaFSziIEoe3aTj16sQbdtAmw8VIRAIu3Ll9B6sHtW/oC5PSflmQUW4Fz9PVzpCOzlq PzSlpZLr8qF/g3cItPTpTacXbV83lWb/ZzlG3cOubW/EaLsSAp7fxlZ61yzuhRg7c2de/DD5ZT5X QGPRnNKiyE6wo1Kh4emDsDRjlmP610nvFYGZFpsq6XolmYCs6YwvMuGORlAngTR53w4DHOFI6Sw+ szPlyVlPj4PgAfomHMWCQFfMkvzvOzB4CiZuoUd+d43+GRGFNcbJmwnQYj35aBGNn4j/tRhcl2dS FFRJOjKhubTpIfj6rgY8BUPObzyqpLPEvQOE4iYfMr0bNXne1XUYlqnUu/0KAnEcoxRoze642IcM IGBq6oidvAWDrGaltOZlpzUVU1lOYahaYFsTz9/mhjOrtz0BDhgIYupDuHrpg6imM0giLr0Pnq52 NlNlg11SHGCMjm/t+kaHRBdqpbGH8kY2AZCcIBvNhgaVLXfVt7QAKUyo8zU2Q7/+mdbxlB/Zq5Iy onjfWmPwJGP1twK9Q8i3TmRuhYr4P4U9/AD5TMoc0CbBBflS0bYK6x7pOJJcmDOJTDmeUJfxXOCy g3S/pCcvVSD4QZ28jqFfLZuT3i7BL9R1O6z1MwYqbFYo3Lwnd1tE/mSxhEp2pIA0HaM4supxM07Q i7faqVp7L8SpKNkkeBolTDhSYMqIDkvIG/Q0v5s+ZQhdv793pZl8YV3TDO7iHjb/9iNkdRUfsJtD b5oRRghK/NYQ6bKiTT0PhUtRSZychO/PTnAILiloafV5Z0ig8YQn2qDiauEfhTyxdbXInkW3Iacx K4rFYieO6ItGk7anMP3LajmZRAzfo54jcJwQbN/W+GNs1Bee0SHxmTqljwf34M7ePtgLRbiraJS3 fK4BBrgM+CTqx+q99KKrshmr0lNqY8Xr7WSVvMe1PI0Il+aYkvI2A0xYOGM8ef1RwmaUwJOXwpNA URv8J6P8dIiDfzv9dPT0PPMZY8PmE2vgx3DN7wm1MWC6fxFF4MdVV0GvaF1HFn8Tb/huTW9XaSlS u+oq0vWaEPqBsXUxKl29xcKOfkkjj89s2OjPTfQrlcezhHEnLFY/as/5JgnQudMFPLgMgShX3YhU V8/rod0thDw4f5cUo7sJWYK+eLY7+2N8XKIYj7H+zenlEtgXj41qYepEzO7V/lgc0QtAXD8CF11L wRolFXTGqOaD1HoBmv+r5x9dV1Uky23tRua9qC8pHDZ+c0dWbScV3Sl/HUq3VVSGicIfzAJA7hvY K4q7IfTxQBlvAqEDc0MKP9rG1spjkZtQf4fuF3sUYBSOwh7fuzzQ4cgWaldug2ikr2ZwpRDCkw8p u72EJIYA7lS6YNuBKIv133bdymNsAVwcW1g1P8RzrdO/KfCDdK9opmKv2rU3NPtg5PtAw6RoN1Gy MIvbhrPRXOvxqoOaYhfUVqSB5h38m+OfqLrf8eZoLxOhOxuOK8YSkppO/GLnxhGav1dzZWLRGep3 tnjs/QMu01Gp8fzijVVXUuF6adbata/nAp03sRRgVzGN48mhMYhJW6RJXPPHjB2bP4TMt8cxBeDW bGypOcsQvlIFdfqjlHQnaDv5n/vWhaVKyHf3V98P6PtSf9c7SfFZsVhlESE/7k8OO/tny6t2TKSa MG1k+ZLFYKRtFnBW1zKztPMFCU/3hgtNVfhcZuXvTDABn8nn21JM91l2ft1M0abowPTT7e80V2xQ 8yrXiEDJBYO5o6F365MPZZWk3mL8FkFwPiABg+7p1tPY05UeVDRxM+f5YlV24Vv1PgqPYw7C/mXo edV76+zj97CahjllpYilptqzsYmFNF9CrNt8ThKXKlrgkYQBCwlaWUmnVeaxL4olrmmKAUuNurYA VesxLN+24pzXW51qatQy7qkH04bEostjVJxq6cGDim/vU191f+FqK+sHcNyNE/LEZ+vkbkp+dk8h poJSaLiyG0WV4BGZORo3RfiVUTAPc/mLAXav8jks4HB9zCyKSUB1MCs0Pj3pPgVMXjaMVHYIP0uZ Q/snx7Ds3O8HXmL52BHx1Y/YmaR+shXvafyfPrQl85Bjos9qCZEs/B+iN5THAGx7cA15jkh6d5LA lI1zTrE/zcEe9WhtfaB2LHFoJkg99OO8b7ZoK+OtnZJAu7oPQatP97Z4GWtwtLyoM4v8ViEIebpK gGyZFPVUbDM8G9dg7fesSQOeI7dCyWS8G1FdKLXscFhzC6aRD/MyHiCKhGO9DfODjYSLxicN4dx8 fJ9KuyF/fIZZzlRRF+yC8oaHAC0g9T9V3xsvDLDAF4xbaiOO62CE++D/KCwn/rh5EYyEBdYNoPfa VwjtAejeYW520k6z5rw6nPTt7RwbKjlEIdxNx8v65vxnWRAsihdP83Mm+yfcWpGrfl5k4VfJs5x1 3WeS+cjMMNjG4DL4xNlJBGFMUw4v9UpH1LNY/Lv8NNFCVcn4MHFkTwR4i9QcTzPK2iBPvL+9I83/ yzCC0mlVPGjUYXgUcACHd6AUyiZnbB+YvwxAXsbD6QI5hquOlzeRQ2TrjlfcCfEFEu4iEI3qvtAx RGUi+GcvxzewRQqyUNIUdFwXMahohji0QJQ2aToP8j5UN9w/UIZJn9WVZP7LNZpZOXhFVTTYKARo L6pWul8PIGA7RtWnuIU87XsDbQjDsezzp+VvrPQBkDde+PE/vfG1jxpLCneYq1hRNiC7E6GpnC4Q ULS414f3SkFMKIYWPPKq6ZIOqDM8CQAH1nrd2E6J/lCZ8H0CiIXRkIOH7BeWtqAPWda5fQqhoU6p p/n7qGxnKYwYUdhgdfEtQ4qSznUsWGTxwNbfcfjOOgFBbKc5oEBjp6S17ymyAO5RIrqCRge8Vn3e F+o05pcifQoFeC9RvhW1HJ6Bf2XBrrPWWgrIRXrrfBFB/yAcZzcnpe5fwUhX3MPcqXgrhtn/7PYo Q0ZU8FHuUpOYmkc7jIFMmAHmQcAN+R+rz/JgQD3dcIzd31ovXV0HqK5Uo7sOnlghXSJSycTGCL73 ES9khuuBBB6wJhselrMoMH1QMPDPyh8o7wwmS1JScnMdJnSN/HXBbaR5rQOpUnD1v4jzYBGaFpF1 P8kg3J67gVIpIoR9YF7ao4GNH1TyTILdOi0SYAJmJ1vc6oHq2mque9Hbz3X654Q3ihPOYXAvJbyb 0jY3rNONoJ3PC2/j/FX5CWzhEPWH7ZMexVOzeMM7CtqV13FH6+K1h73yWsnfmXmboGlCqS+zHWfs HWs2AgIeajGMjMkyR5IIQRIh8AyXySovTiXm78AUt3/5PFLYQqAnEJj0wuDxG8nLgERIV1EyvZLR yCyUi7ij8ot64JimMhcdpDK3AuQjf5OxoAmjjms4heYuMm2r1D6kzAMeqvt+pFeSEcCNyzYIFwPy FIORpGTnRv3+LVenCMSx910T1i+mN/LvGyLYR/mTYVRzUHLeJJgRW5AMiMzgV4r5bNtVAfJqst29 1xJH9fo/bov7URY92orz8VYhWFfm0hbhHUkKMK29rjJQvL/StkSPbfxLb3AskD2k60Z/Ha7KAMp+ g/s9V8rH3hmcMbiXA7I419N4GcXSWlYfHkTi6RaRbuN8Y7S8VT38ALp/NxWeJ9KQMDNmgetrtQOM Rkf6jzjt8Oy37YKEVdpSAtnNlLifePRU5cCrLyNmVzxGHktLG7UrvlTm1bwdfXrLeWPlGYC7FzB2 mMMZtu9nvtqEKUoHFTqLzWpUHtVeCx8hJhim1yZ2+5UT0jq1icZo8rsoIFNk9wgBL9cO3e4amiP6 bvALBCnd0KExCMasEJEZ1O3oa30gAZ2oXefQ7Jsy+npnwNJ+ub5esOEQQYT/+6XXLEIL+pC+n0+2 quB/HBwycN1Q3yQnjUR1Sn0LewWzYZmLwAm6t8W9EmQ3ZX9rYOzmBl5racsl3C3rqdAhNkklKpWU 1oUfPi5RqwRMV62edhH7qX0vWLgYU//2SLZZiGZntT+VwIDo1RF4OQZepj+GnUCOzP6ijpwKYTy+ rl6W1xI9vp/Ru5spKjwgvMxpWBRfOYWZPr9F/xqwsRcWZ6GkNrRuXV+OFNkdoMPsOBlqqpInZrs+ Bxs4nimxTqF6L0wCgF+EKB/ZNi2RiO4rQdkA6Pw6WWLyU/Q6ZGQjlFZJTn/JZb+aNh7DcwrHbaXz 8q76l+4HY4Hnhaq+WaYsEFO3mCPNtarTSupkDToDcjr3KCstG4h8zKsomeBsJFif78P66TddFI2G C1bLQuxVycmWu2JMqfaDf4QaLtZIcflDs0R3b2rouRey0FzO6w601L7G4xW+vs8rEtncbiCPepb/ RkNZCnbg4oc1GAVVBbbbNPVAWEW/cgvg/tmBdGWEkNYTS4230hNTupQ/fWzfjIqYnh/NdJ2MfpUQ i+KORqF8Q7LEzwZVhdV3GwoIW69HzISOP8IFJJ5wrBHaUuucSC+v7MTkDq77L/QdqBrZ6SvXViq6 3I2M/CYI0Cit7qothrFZpFGGX/tMQiIbfp2Pd4sKTdHd4mHh2xuTVSl28jotIdI6rHsrLbmzeKix VW587Z/zIKcCuEkj+bLNyl1KlyM3q0KYnUGs76l4f5XYaYxpw4qQmiH4nmlvum+n+B3B1ClK3GFD Pa9OFN0sGk8+89cBzH0mK011IL8XiCMZ/01Q6wU0/yXCCmkep9tMHUaMCHcd/8TflmkeDRbU5tSo mwE11TLeNRoEp49LPUnQ+udeYYHXnxWiJU+ZzQZMHQBegnbu77Wn7dnDODXluvnhSdW/CS7SraBa s3rc5Q8NszQwxd+5FHG+UDAlOJv0ICpELINu+noBOJBHCrlWdySyP2GV5vFyYTK9J+iyAWATWFtY CbntaFYSkWwuTF1eIKdD9FsIa9NfEGCrIGaWHcpjUnCOL0RAqDXXkm8JWpwlt5/yiL6ue99dhaj5 KvTK1hFEbRagLVWHkaMhP4Up9xM402jaS3oCVx0O/Pp/X+bw5viL5PSL2hSnrX4Ua8PVaslNvvQ0 xK8+b4CL0Shd22/cm6zLi/pTcG7BapMrshuI13M6Xwm0UrGVo81WHcqsmR+DE+Ssesb6mbq5AxF6 /63lHv1EO60NhXwZ4uD3lVkxgSC9xuHLmowIg/qIVzeumJFbdhb4soBhVi1MOvs/0fH3g1FNwR7X 3N4uwpGmBSaDgKi5nowZBjqkWxU98YzMpcuoSr+T4H1p9CeAiF1qRz0RxlxQamSO/BgGiGfnPOXt dsKIm5NsDGAvwIDtg76dJS8UF3jJbcI/sX04mpIw75YGlCYDdk8CtEcMRmYj4VxWKMVJ8C6+qpdl 9xci/tzCyoP2ri/mO06kCGRAAXxHzl9vYDWsDKRfBJBYAUATHuPIP0fbUDppNGap6AhkoD3IYiLH rfMxa015AXNq+T/i7UDThkc6PmMOe8hNBl981bS3x7C91hr1Tm3tqVA4n1bhVrCbAcVWg3uSV6Vr FDbZUDfRHjHxvCV90PXXsT0PIYtnmM0mhAjkwLVw8HpezzgLPX+HFE9DDLhGSXibEIBl/AUtgFcH 8Mc1/FqEVgN6aI8haz5UYmEtJWjVjzu2FJM/hFNi+nwjxD4c5zMpmXf0Ce4Y35LBAkQMMjsscFWu 5mjLYC7B/FDSFYaSbnc0wA7CCI6W3B4PRWhSZetJ4xh65pE85vigDmRyGJqyaJxDKKNI5878K1Fh bfKlqEXCxHyak7HR7Th/AXx/gmZTcIRrlxqGD2W6uv2hHWi3ks/Yw9D65KcXzZjZh6iJf/KAhTU+ dORKJ0JFpPraWhHmSVcCRryDPaKM31Y/R7TnvDC2QwEbhGez6rMfsDH2sMcwBCRk0aBdbkAKt9a2 yY7ctDFkZzMB3TdwX8PRwgcNgnYT3fgjlFVxA0NJoJdBJhPCpq1fknV0iECRWv5O1ZO7aDAbh/dM iqm+hYCP0qVyt2hSh6wgaPOPMsB8/4+JevdMn5ROxXFaWsWSQVhvepvdg5jHxzRb2Vns2Mx86RZJ LibVWtSENtvbWQrif5BigrWNBfnwolWuiobdj7RZumzIDsfX2E/AKMGRMyz8O1Wxy2TSHmMfBF3N fFGH9kL6o5nLLvTH33SIBYO4ya61emBlYxL4qL3A36T2Hh6NOnVgtnzFkzPFSeiiJCqQqQPzwK2/ jkk1tma82daixrSEMsAH82CEkwt58IYTKqrlK+kFT4XEc1olQzi1ipx0Zbi3P49KXS/WtjkkyxAa 51MLE2it1R7QDzVqnQAocvByU//pML1Wa2xflUTSXceGm632UaYpJQSNHJVnIISdzf9ZXUFt7kNC YwLgWOfssN5F1Czx8P4HczlzpAVJb4ml1BuW+cvve4naeNFviG9O7OnI6smGjFnGEQfCqGQ/eHvq uM3uTdhgKEoPrJ5oSz7DeVtpfzST1c19m3zft4dYWiD5vG1bMIgyVh151rNyxOfE8+xz0QDGpvNi Wxsv84Gm2a1KnESPdB25cJ7Pbm9M6fXClCe7LlaWbHBHV8c35rQAZ9p1/zh2k90DLBiXpmkILIhH gXmCPubYNrHhGUFVmjCj/ErXo9G5isyanuJD3fh5XaaqTrg/a+a2clRrUe5pvkmDS1Epair28wWW NbpYM8kD2RGmSux6I0G2pwZVRgqfBU4ogStAmPqcGcOOWvS8harDjY7vKNmqFmkIrpdeJuBaCkKf i1T7nxwBWzvi59fZxfo9vH1TAE6wetw2cnKVDkSmt8z7KoTCQrYFmV0j2xxSBrpqiN/3Tx6oGvtA JWAmJEs1lj8xvxw/VWFZSIO40c9dNKXKU28m4k67EG09XZX1GVRD+AH0hIRaKMZlA1nlHAZjQmyb hOl0eJjPoZF9CRhNZ7TODvHsYRXu0JrM1lkocv40F67JBiXDEknEw8kWCvbsyfzxtjc/jVfX+Vfm oV71I+TORTXaVuLXhzr+/kOZObZsc39F5sluhPJK+7wJr1yygqDeQxvLA699oi2H2eSP1/MCtYKB ug+UUL+uK04R44Aecn+9MYqVhDBWcfCKGSTpP33KytP6BWMMWkFtstsGSYjTxk8lcI4o/W7T4NZ0 Qv+V3paEXo4Py5uA2AGUCQKJUG3uC0lX9fMkxOsqfAQopD0EstyXh/n8vWLgb5KAUBd0AJuaoQLN itPiMYUfLrb5xR/YxFKdpVi1RsNwHd/g27TBaGqHxXkLC1DhEUK8mO2Dw45elLKp2YOKKEonGnmW JbQsNX/hwSGGa77bdaGwDVi3CVrds/v7MZq41nU8HJbvhhMVhhE27edQbLBMHzljaJCfg4DILJfF vzkzeNDChKbN4lF4GXGEdFqwS7ZlP5oYjcC+0NhlJ8Xe8AP6mcTjFQjKLjH0f8nsBkD3L3RfK3Ji 0y/wBcLBBVi+tPWUU9OyETcXMwjbTNBnPz8ODGjfEW9SefH+IfVeDkNGYXnyvl4yAIN3pS3eV5/U MDvdszGaimDjcUDDuv7eXKdNIO8qSkPMq3HlFVZNQi6JO9aDqq3ri+csAVbkA4oIDT8py8blq/04 +twsxIXlDPVbnPvHRvpo0GT0NxPTJD17iwgIG5pLSg9/WyZnoQJ8sbdAE2bbgF8nPEFVvZ2MNXgM J2cgg/252UtgW2BCuHkLOo3o1IJBJTpXZW1/Q1T6xQgL8EppXIh7uUpQ05FO/GG7uqXb145v5Edd HtEkRIIPrzr5NSOZnyKtQ35rfndAObG3dg0kCjzXabZrCmPTD+wqnSBG4/wPg4Xti+K5vjLbtTln 5C2RdCB3fYKY9B0hTOKfbtA7DK7GR7kWjwICRHMC5JeeYZ5/cn/P2+4uY4H9TEAb015DRECSy4HB kx5po8KgiurQEciFKhJDW9gV/U5Pn2Gwuqe3/hs/v2cBfwOP1K63k8QtSClsARxCwpArV7K1uWQL Hat0coj3M93BlYpDTEeKwXH/zHPsN0DlTNE2y1uOZLfxXqW6CiVTlC8E+QHlE4KmoOqp+1zcMg5B SPlvzRAyNaKz4uzw/O5C1a7LaHvrBKQkDJdZXRTf1DUb+jnTYtbE+2Molpf3K4+RohJAm+ZjJ5Qi pFlxTmzb4z7xwDd9GZWC7cDNw0meBz8Mh/lStxJZWtYCBFw4qHLhUXKjpUQa41hyIzsFFuzYxSzH VUQp3rGk8se3F6ylCWg7Fe3Zy33Nc7Vf5f6+rdjtbUZdqicukTuaUA8k3YWwTw4V6i5InB6D6aoq 9j2LfmzmTGS9sWoI0j1OUsdq8fbH8/5PZ6IEFGbzljYkaIy94Rshc3CXyx0A4rY4sXWCkEzuuq2/ SCzj8NKR9N3g77/+0zYk6Y/NDnH8dVQtvgTu4aPp5oXZuxGzkQTEoneExHQuaWzc8g768M8RLqdl 65RIfqLwebhtBv/VVSmFmX9uPTPu/w50ug6I8G6z36/FC5GGt07gxgN3vYAC/mbd+xrOz65eifiy NXIfAqBEEeaITPRKOy53JiRN6TnF8iEH2otGWsrENt3mxICln9Qa+rQEGuBo4NEgRgPHB6nxfZrl 2Uskaw1z5j8CM+GJtx4/4veovPbFkXX4LtsiKU3ZuLDxXA+JwA451Bvo33l8YCFWddQzqkEHPt2t D0eQL1aMjtK8/C/dAi+tyQgWdBlTgkcFU3Cx8mMnlacoRlNPmY90Z1ZmiV3IqN/ivBl6TNDQwIfF 2OwmtxNT15XuY9gWhR3zBB+1VFLO60Z4Dvq5r7dRMpHxPy1JXPrEzcXVb7wuMh5/M0tWltUea1gl Sypfp0ItPpBW1euQKV7XBG8Ruu1jr9ToGYdzT52XZH0sVCVI2HBqJPRhgXnTOCoeFkhhWqLsi30K mOaxBbFvt+tUbgbRL41rY9g9hh5zIAks8/a3Cn6YxjW30ZI/SV8Wr/1uHNt9XXJziJG/LPJWU+g/ xkURlCPWQ9p8uQLhy5JNcCG1fjL3QA7zfybhlw7HWkumxtLmOzUuyGmwIUKLhZG0M6BIqgwe8d0U ZRL4LoaoiyjHfozRoFvk+R9N3/X6Xi5KbcvWNkOQ75ERXjCtMZq2zJ9SpvMQJFBG/iuKTV6CuSwr Wsk+WiP4F1EunDyxeKEiDhU9KAOgijqUTTPYbQEosJVvzOb4VE7Jc8d5IK41kmfZNx51xzqudswL sRXKrWfY9nHkBbAWPKHkVK4H7Yq3vzF+zGo/kgKFg9Sj+wV4qDkuH2fu7tsUphIIXCsahgHYcusQ OvbmDuZC72mFTXtYl+jQdzWBGWfSUE/gHsd9z/0nPv2ghiL6BX2P0AcBIK/GmBbctZEcm6/h2C59 IGFfk1X9p9D9n4e1b6Z/qEO4K6HTn5P+PlWuJs7cG/h3iPFHJVtproQstcFb+RjYnGW6NG49W493 deJtkJXpVlE4qZ6x2XUGxQ+TmycdmpiGgWdxLhvvvn5j8A7ZF1BED+jtPNphyGliJYhZg+uNdZWX tF4zb0gWnCcgE9yB7+peqynwWko1nCniFUq6knA09cKmifqTMxQ63nmeGKLP/jTtLtonrIKtB8pt ssEOWWycnQxEZFwuJrVpSnaXQl7cY0NSWnzKCIYrw+hTq1+qJ7VZsewnihrIxjQSau8CFS8UOyQ9 QzmteDO2Xro4uVacpq1WZ7Ryqts0PDPT8kCtF1q4IYhYzyKcLyOzGztng8dZaUmb9JuiEbKCwmk7 nLQAfWhVpdvdkZirWHkatyukz15XdU3tkZNFQb3LwZvu3qjEfWSpxCeZ4CNUZzSzyz+LB5dETio4 mE6JEbBxmlJ8sle4rPxh8X4XENAFvUcsPH2EEYZ3vKBGzxXH7JEA1dXmOPeQgHXg5Okk3rsNVOzm SYrDzWECzw/dHnkTmequDGVH4dPbNitAMOgDx00rkjZ8trxDR1UKVk6FSEauY+cK/hCrBEui/WHz aIgg5F+jM6pv8L28FPQwk6GsuuLKVPkLfxpw4njaWdHfvhtHVDJqywZOyAL/ZWZYW2uWjkT0ZHQ8 uJVsxCXrPlGK4v1LWpiIq1x6Qrm65gQTk49kW4ZxWy0qrUqnFpTNZlnAN6ISBSUhlzEeeaJaMm/9 J6Sk+PPvAB+k0aFSXEmzeP7x8ZN4SF4oXTGs5SXv8Y9jYczDHTMROY5vWsVNcrOJb7pGTpLY1q1d mEWaf7r4tITHFjBIwdRdyILBY1OXalYJU4WNvnpRVXXCmcErq+YhWNg20JrwxizHc29APGGioUjA wKwu93yKrGA/K9DhwzwmbQJOldn9GzhTTuDh2WHvzlPfAU8EI8VOox7qVKPZ89C2xVStE43HkIjW 0AbFj4tg9JkYfCn9uOq1BOtHghuhMonw9kzMlQusqJ2MgceCLEc6Pethu8TWq6nqW2OmpmQlByC7 LPhOZMUi53wOM5tkKJuSGbkndDbLyDiUP0y4SOlNwwkOoTPaKhGmbzHa+NB2eBdHNj9W/XnMOfcY +Q6+MM7LSzZQ5rVlR0ZowHuloWs29MXKb0H6lsZtjWbUjBLUUrDlLHkgIMAsvPFbeMBtm9DDnB/S e2NMbaaVPoN6StvV+aG5/ZDV52zwMBVbw0ExilZ2VkeL5z35IcgBjCX1mq9Rfxc6LuWFCIlh8nGb lZoZbwcRsP5j+VXbe1SvjfwUof38Mf2MejTNEizReo7zxhhjmjQZKOVM1RRAy+RftY8HxqP7Ethd h0QzkUTHrmZbIZCdQnxW3nzBYsTUF42Z6aeG0DMRtuO/lmmGRw1nt08HBiKhfgBRKXLlNONVpTqt uUSElNY8gWMVyJ/ejWt4MR9HwvSVyhJ5OL5ugGoUDXtjfb6MEtknbsVgCx/gMtnQgODOQE7KJ/rA 0LEm4TOufrOVcxxyihdnkh4O8B8bybfgBr45Ncvylb3dtqH9jXHGibaqtxgsf3150M9v7kZvB/9i Xwn1XIfPOZYs0XIZFAf15bUNrdzFbmNnrrYkQHkOV7HAMM4iz8CkJ3spnQjGzbT3mwUIMZIJ163d 9vhCwf8FCJT0BHQOgPD8FHsGOnkAhxAMXs8OitgQOYRXmv3+EYXAGnM425xm0hqOzdDvcFax2ewQ Nksw+7e9AtvS/D8Y+UvyVeormn/u1EjN/AzhBHMS0XWqeYmWLWWgCPZ/cMGER3h2oqTavoqD8Dzq w+vjanrrfcfGHa2SuHQ32+G8s+VQGyvjR8WQ3O9JLRDSt+CTGZ+/MS7WZrEFL6ucoFnuEzft6HTh yQLSClwtEocFUJeT3+y7ZXLSe3SLXz1xMh5hnk5ST93DByiQYI2FH2VV4eROpqmanJgWi+BIrkwq V2AsDXykmDkm4MUc6qr5Vg31xodrme2/SC0WcrBk9AZNywFyl5cMyL+sx6Mnzc7qbzCuZJAJo22A yG3LU6dq4rKsj94MorzsIZRqIkMm9hB7UR81YojMUxGpb/5Eaju7ZpmEApqzW1+v+Wt0NMKRftha 3gNpMRK/SOPTZcRk9djkTCnMK5a0sQtsRaVc26VtPsIHad+A0pJNwsbHtwu6m1+/WGu0Z/fgTArr bLYZYDC9Uhw6xHhA99mS+dREZljBT/RdIcYnszenr7IFysY/7tZVmpmg4j2wrCO5JCgAFsJ3/2xS yT+jfmHsavo9n98vK62WWvIcKLAP3PjElOb16dnw1ZjPpIzX9Ruq4Z/kiWMCH15yoV/TahmyFOYC JoOSipXBS8dn6jQc7vBCkQmcHHPDZgH+0Y2ysFXAxQ7plt1XJUocTDK5QW/xkmYv+lhlHavhppee AdmfdvYfakFaNXfKkr4EuVlGw3r2CLy6ocTpzCeep28fZbGusdtMy11EQmD1unHger8hH57a2vuz hsGAhL45+lVHV53XrYKkJXWenScnH6X9+zgTD/Iz/gLwgq1LNw3pZs9EElnEg3BDgaXx6g+pY84A X1LPWMARMkk/MDWe13+YYir5GZfMwIj+Ep6yUZQH6g/YRvTZrTUx5FpFhjfj16vMT4QDsPf661LR p6P8TxG3KvyGP7HVJwmpYH5RnE3OksQ7S4G5NzATp0tYhD5BRjcKC3y6jd/6txtCJEDBFHngDDS1 MSh1AktosteKSpWeKbsYlVS+xfTkeqzm3KyHagHfHLNVtI71NMoDr26nOFmGRNB3vFh5P8oKe1cu ohxiIubwOYIO0Bt+3HAraiUFfcK4DLzzYbTNZzmsVwiZuutrzDkIyhypvfvZF7x2shQHvRA9cgZH vs9oeWhiVBBguB2vndGCyjicOx5XWbag460asKRax5aSNoxKwEl01lAlvlvFD0reSD2RIhnujOyP VP4vRDC9f6WzC3s9lUItqRgYW6N/1r9Qjku7dFYq4ALq0a/6sYPQIHJHGDX0xnuhSN+gb7zl1kq2 TD129HX0GcHIrHpXpp6zx2faL4pzcD63ygXOu5J+NGllvQArQD4S9/3DQGDXtP5Ksjv+iPsmOc7n ywIanIKRDFzy38hlWmnaFE9cXnkfRWH1UUr8SHTLEkQwzQQkGuvutDV2XWIDWpY/OfJ0zAz/EY70 3u7vOfI8Woy1YKpMUfgl64dzvbkXTOGlWoATBwaHNfADkCOzyIpnyALZk/ZFZ3ByNys2pQwwnHIm I9EcmY6Zs8XElSWgJkN33aobDZEnNmAwNfPVD54/B7b6vI0oS6WFJEY9IaCy7r6Sq3V0yyC77kiy l03w3Eyv5zLZ6GXTZu5iQpRxTqO1SMAAQJb/OyD50CotklI/39EqiTMj3rpbGTBMeUO7AjgXnBkN g1d5s7E5gefmkdP1zIW4FDpPnYNF3yIV6NCJVJoOtkXWDVihUGXUpgpazlkhci2x2bWhog5bY5dl koKl1foszy2RzBwIqoZvAnEoKpmxXa4NyVBKvPmpJHjmW7pVgfLP4jkswbPgJ8T+TJhasv5sVWjv +p9y1Mq4fP3t6EEqEs/GhRBFAS6dcqU2uoawvHTkogkvhsCi/wGzxoL7V3rP/SUw2LC2DW7h1pWS cAKvsPUbCgf0KpZ4QBrHo1cYFTaRzbqPW9YjiFotpDM20rxJbpBMzP5XQWHiQQiAc5ePJ1U/KwHH DnXhMLAAqzBD9FVV4GpBp0bI9HZdHA/IsV+FOKVupwdWRYiPU0OMslRweIil5Hr2NmvncP5rjl6d ct2rfLmysppq5sDVN1Yl9LZvzAosyHeZ/7CE4x0gmEF7Gzqf5l9kibTzWM2CcSaTXkwRepZijMD2 azadtvfrAlUkB1hVSGC8ZHI1nqMmSSwed4VJ/h7Y8uaw5kSRnBCTGG2rQbvi3BVo2qGSxN9nctgQ HtqlsUVyDkjiQTPFeKB834Rx18WCkv7Yvu+xIAGaW+roUdsW+2CWyEvgUV4sRAr8q7sA9qmBTYXP 3haDHWv1U7F1QsveTV+aUITW6dgNLeM06LtWVpiCWOt3w3Epi8jJL8ScDfcNhzKjymbRJW4v0SOV udt9FFDeCAAI9jJLcf9l20atdMlfz09Mfj+z+sqlpku2snwe/sK0v9t7iKGzHgIp4/tBn5Cxny8f 4hHfvToY/a+oURhBzOokJ8z8N4bLmJtrdNY6fZtvoHc7zq7Q+iOfadMvPm01L0JU6ZMw8NY7pQXU TGgEFEeAisDQtCRXfEMfjkDiC1wOpw9sOJfo+O6lFMk79mwe/DolsenkUHARPlDNLMKO4WXxYnrb wqGa27dLSftD00n9MsLRPBjuQd1Qgn9WJTvG5ymEGSSGtyFurHzRyO5xNL6Ds1hhc2tRbrd9oA0J ZmVDK2xu5VrdM5vU7B6k9XNWCOVJhLqd4NSbObgHNebMG8zvio5zP4UeoPDTlzR3DzAeQuShapJU r4EQ+M2t83AgufWuuWPGQ/c93v015GVviTe03D954vhsUgoVsL3oj04rIPDx+UCTZSiuZEcL7mwo fmc9dppyw/b4TPS49aUif7mKnX45UzB71MlEx7rqsUT1S79d8gb4uMIBGEcC1rD2VX6JEdndZ3uR efdKdsU+c50vggr1GmaneoiJmE0QWiwbpWt/Lb+P1Q6RBpZRwHhotUW3CEmNCOWDOWz/sWia4vxJ 9gyA3yNv1ObYoNRYMzCDFo+qUWZnaoW/CZ7lzrPgU9k7CprHs1yl3iywheEJNnJ/mZR50kmyW6Lo TcPAi1sxfOq0cCainf4LrP2mJs+1qcFfdvJN8NIoL7n4EQgOEH0MEyknJSKbQPXFIzBK4SIgeyl2 J2bFIS+yXAl7hhRxCaEvVIEqew660qwiLAT7k0zOPd50E7o13yEJ288rY1LrdkU3Z9BGSJ/rvfx/ Hi9VIPgCbBn19xjvxbpuv2VKSJU4nK0hVRfw3tE9YaX7IGlp8iddwfhkm8bh3ZGyeU7oH1Nrk4mn GVAsccC8e4jssn7H9BeLHTAcnTmU66oVTCJtN/DexTqC+wCteT0CIhc56VZPJXvDah/woWT4ETYL 8Te1RD5LEZhYkwHm53RgTFgRHwRSJorXAD7xJqeerPNjOyfIJLwj7hFrcBjc3T1jiCtVhETtbbVw aFvezgFLV6t8aNUVCJgQfV8Xk2QPgfoZT8gpZSmyzuiarmNPrtSsr/ZhMZBXaNJYNz34VytmXktK xHHa/D76WC8N5Twjl5MVg5LFTgj+4AUSDSVw1FViaFsMQhUtqND95iaH+n5+D3BLNvqUHJf92UlQ EB68h/92y4/RiubQwO6buVd1/egAmXYCDwlUDBULJf5bTgBmEtFh5VxT2jTRXlzo7U7qZbYeRVGo 8UQLVqrnaJoyAMpRIOe4za81tK0AOb1qQAm5sFOfweIIUeKodXReTtcjBLsW7eZlRA0L0R96xdM7 XLrzaheabUWwO7TqEvv0DKit70d2228XWOjpRBD3mYO8OI0xqFuFkEQQhAMcaY9YKLBUegAqHY+H 8qcd+tZfoedolsvm9ttk3HPWiSHLulaD0NZiGUhOK4DsrKJvyJi9jAcZ0F9Kwf+8wTHT/f1qs9nF e2YfsHm4zuDSGS/ivTMSCd+G4kx+CvpD/R83ZQJm8PSmNHbwUAoG+cuQUiYxwQ3qhF0MQMgB/Jdu God8vJNA3VrS5TVsCRRgOMgXBz+Boa8/scfTG0eUyNJ8MZT7P+gM9SV7YkqPIAt0aV6Ztdefk2Ng 4LD/9SmDJucemWHpbw7GUxq3z32xu0QSt3yojiw7d+flxmt+VFlRH+gbVmOVhQ49DOwW1NSUKSAD mztFX6c3RlgOyIUDczzTkXVSsNjL5k1nFadWhBbyuKnqkN1dfgFLXc/NU994ybffO2fDUIgBaLeT NrzJTgAPVwlN0oY65wtXw0DNGAgpPl2IJh8WWN10EkNiDnJD0Y5lMZvvurbElyP4SJjAyGuYds/a 9XCTgd6w6qkmeOj6K1288Fc5R1falBDR3rYEeP5+yuTOGxZvdYDo9TiSYl8IgfqsS4GQ28Gn8nDp qIVc4N4HMeo3D9o9GsYxyYtNBtXqYsT6jOXpUG9CE3KFC/0+rwY/RYlZ6fCe9Gjch36enYq/3Iot AaqBsjXlIPJb9kOhiahXLF2ySSOznQb5z6NjvEtiMiQ9M+3YxCL7XtB+T20PWI0M6RrZxDVsVjMc SGYOmkX+IaUvcgWrsD5i8kXGxHMfMAsqTQ6gknd3F/bhF7sXaMXGJQ/Su9+DsZJIEEISDXZH7375 DtwMtYKjtWT72rscE+C4gt9Zm0HqM26QTIWWh+1pk0xCaSP0PIEV8LcMLwe+bDdoQZfDfPRuFxC1 GqGsIYtRmMDIZ24URXCkHlHPI3W0V5sqFdcf4gtIZYeYCDrDNxc/QUQl8OQoOArv0Ehm6/nFYcMv KFB1KcoanGEJUrsxwurn4lmjENRxEXMa5vzh19xJNVSfeh12LiGQCEfzNOqzGwFWWq3YpM4iDn66 q1SM5DXyGRdPnw/REUCrbn8z1YE0ojhEOLNzSskLl0bHJF6AJWT3TX2GEoOLhoYMQQCRlDKf8vWQ qY73UXyAsjRzb5QzLZTSm39RF4TT77GqSF2PqIVbXZ365phaeMVfVdvZqRPbHo7tx2AaDRsabAw8 Wn2kc0Sv54y3cdQyZGBFkYFB5Xcak79WyVcYAOEQeVhR89C/a0XZBcte0hbbRAwQhqRVtzHI/t2E dUKPNLpR16XhLu2fpgT6lvNJ0Oqai2nh6qP8f0SEjxupspiYolFRUic3tbn78xbGrzVnuAMcUmnT eFsuxuk7ZJlnZm9aO6dQBv+cEHt9vRAk1xy/5eGdxcDdGdX6wXVN5p8lSv98SsieEi+223bjPc8S RNm9LCabW9WhHJ2tIdwR5bh5Uh+zatyW1qsDUtGCh1QhCXdhY2XwupdpD0UN8ja17KkedTQAnDoX EE0CgwARHjIYy3GD4GKSZuvDF011O0WYC4DNuZVov8gfwABrmAiARtVpVp8XvbuKfG4/8PTx5TkJ Xce/lGySQWLGKEwnJd4Tuzi3dQ6WcZbJT+QQLWY3RAghoJwiBio4abbNv9M0IKaXabGIe9+65eL0 LTBJ7ZdWusyv3VPSXwesf8crvGnLXVk36Qq80qIsIaqdC+yNDyg6t1W23ALXCjNTGkACKWf59Kdp GRsACU/L5WMKXLspMg3IjJtUeFMU6NonJ4PepxdBE5C0OIU23TZdrw7KCiro/TaVNcK2dxgp8/73 J+T7v7R9CfjfZbduZDddJXevkbhomaE+sf39uxXfr+fbxosNUYRBgc4rJD/EQWH81LQ7Qhj59QYO bgsZ1SMkaguxZYmr2RP16/R1P1hEx3MguPByl8UNxYrBf0Q6TZFFo0h6SZFsXGhP5yZHcp3VBQ0Q /5hGzF5Pg08Nqv3f10XGWwtvJyaYy1/hMDXgY0ITCMtx/44ficAnPskQ9M9msQjerJ8L2rFwUMES gcom2TEovePJ9rBXpM+0xqmcq18OmwSsPt+QQlImYExABV0lV1U1KUUNd+e7V1L1i1P3FFMwqZwe rD6JFLNnikeDR7/QY4LSZAJi/vJzl0WFxvGEV3A3Sxe+yCskzpjnaAl1bi8uowfMZ3/1M0el2Q3z EHGC2nu92aUlup3MzTx+rFkmx/JZVYeN2r35K0JtfUZRodFs+8VD/Ac02Do+dSADJ+MJTaRXIoWa uWFLM8sbX6ykzi7UjxT420POZFxxbSW0DalJnIRCpYkVRAM43daS5QR7BR8tKjaWyKajjZ3pcZyn mTwWhLs+/vuLA/Yz+Br7TTvYNnkIOqpqxVf/r0Pso7gmrqQ6qqLgUXYrDNrbA1+3DnJZeU0iHptQ 64nV09lWnmPKhbJhFOnTHRuurrQdOA05WafzQesQx+ekwZN10j/ACZQOv5ctfbflU/R4Eg9rAhDk K49zdfQ8AxMsMaWecgNsPHSHx5jilR2uYlXazyxsNaIaByKSnBTiwbLEpZPIUo7tAyBbc+Nk+eoI My8SDwdDILGwGSvNPF6gF7eCYEwf7ntoGbOVFsvXWrOxS2rLMaScAdRcT8kzH/HrVCH053s+CTus IxfqEr811cBKhY1tqbdSb8g6yHzaeMIye8shm0ihtRmWVY7qh6YUMTFaK/Elgv/6KPgQpXXgbqyV VEePB1W2V1KOYozVb1Gi16c9SaGW3uJLqH4WU4aRhHlG4Dz4jsPuvBSsbg+nFwpbcW2n9dvayR+p EnFqHETP+2szNVeFYicyv2JqrAAecvafdZD/xMLdI+6VvlRQdtqpwLpn8tR9zCXtd0yBFSDZU5BG v6PhvavAauLg7W++fOYNVFlEZMjtXYMeCTmhXnhxZqYigs4eIpDGcu52UG9Pf1+1iHDteMRWHy/W 52c0byJ0IfyQU/XH+XrTlzN0d9/DqAS4BeSyZADQ47zdDhX3wKH9plfuLhZSjOYMJeJuM/xr7qg0 MDxCTm6164W+ecraaoM6skTdziqlIl+dpmQ9y8tsIAp5qHPlEhQoaEbpsmECDwP9xgJe+fFBaxNv CQcSr9+4PNfMaitXojPcjsn2XE/P+Bf7ev0TsDV7ZLd4S127MY7xJw+Rgxi0eQn1PTzWKE40xvvP vZsoHrea200c9qSaEGVAAoHbIxWMKPtqm/wlspd/B4o2Oif+j1dwF3d4izqJJhQAmzfxh/0lYu5h Q8uQsWxoPxSfrq3PjrYv8NOLql09Sxuz/uX4dl660QZRDI66r9sZq2Q6Gk7XYaW44Qde+hMNYk2K qCQTIg20o/yWKQ83Xl/6kZ7BpGAVB2U2BUsiSAhxdOwsKzsciF+utXCfP51N3o/ffTUDypwtrzUd sJHBuKKJiWSdgmzxGWvdDBpA42geezqjgK1FQHFM2Ah/jRreqMQI3nMqnkkG91GSUVGoMDWL8e3x HoKp76SIfmAxUNAd7gHSkGaQGi8MkhaWZOeCbAojPPtJXcKKOWUpysdQlh7dUnyb2Jod/FztX1g7 ewDZVDKkt120ji1EQ/eXSybG6v8YM/trdE0aK984RMn59gHNt97OnWaW+KXr/ZS/iQdTdY80ArMr 0sk0GbmGB1dnbuyXISdK5LGP6f2nrKbj+mKZk3QVab3HgF3fXhwqwvjDQ7Am8sr/zI7j1NQUX5j5 1A1vVoBJZO4HFjCbnsj00OgwGpKeygBOQytcin6/MI7B9Fcm5z2uOpZ4AKquzRr3dJtp4Kfyk0IJ hlq2utYpqXoRIT9Eq7Xh/a1sNUbiCiBTu2nm+K7XM9kbpJuv4+QlwDsBO4si8K3dx0tNHrrw73YO zxfgFEwi+gCW3h0eZaq9vvDSt3v7Jk3u0lgnEkfq828JKFDexzkuc8h8OEgy9Gbc9etHIbMEt4+t KCjzYXWmXSMI/NvMSg3GVPrn/B6w+CLVgiHNMQKcZF792Il4cYElvpFAKa7WhzyHtm8/QYk4rfAO Gb+Kj7vgNtbI3tZ8X0WiQZUVL+XeooBrW25RswQZT1QdVcxWHDgPGT2keroIZsO6i60qFMIaKOpe FmYx1yoCD27cQ/H1xr8yUzZeGD4tkfcEVgn2otmSP0NqYuo+seE7p5kShazik14vk4CFJlJGEmHj eHakS6PoUCAoTZCiaHGQkaaM1mAJ5c1hZmPicJNWUCNPh4SS6ZJb/35y9swMrdUkbTHUbqNUQEHV 1rCijnqH8Iw0m4gvrJ8MSqBZP4964ofcdsAzQra88OdG2r8Uteh7aNfmAuC9yJJTa9IIpheRcPw8 +qE+ZBGFN5OXvY+nT9VdQnYcmUgUPEyoCu4zrprVircin3oGNSTma99VVBieRva4uyp8QAFesdEL lwV/kjf6mDa/dYHrxjaeSJsYNk/7JvosvXLlKPpHobIXviPEF/SlGqwkMdIlKn3wBwwtXlZpj5am kpe7oXkyokqdIXCqUQdqgb/5dPAgEfozSJ+MfX4WC4ltI2geR6CtZ6nnpHq9qSeQTH6xwisd77/M Y9mKOe7OJXXNzNMlctx5+diO0r4VsU92ROyrffM7PrZguitNOunci8NGIQcH1FxB7xLLYwM/pU88 ezxyK5i40BE93JkaNR6gmf+QTEq+nhzJeen5fm8ieluAPUaWDUopUKoj7Cb+GmItYq00VV9x9dEP uKRXWK8n4iX3bbGaxB7pqLiURsIPoA+LcR1zqNPMs1AJoL3TLcEvYHWuaKfYbRylWbxUbPK28dKx hnG49BOxF729Lo7HcEOyD2EMu4sq8m3lNxAx+tTF4BcbeTcGmeWwgHXWAI7bkTrhdKejmo3vSezd afWXawKRr0HbHRuGkCg8mR+KAis3waCyqs2oS2KcjTbpnI6QTQgWMXHxyknSGRCz+BlPrvF/x/yN AeHOpksUb7QYhcmIFSZXftSRv/anWZfiyai4xNcS6reIp/Um7YRI5PFLpY+bfZ2x5LNnh7XVAmia MypJbo8uvkZBgJ8Xc+PbHQ1xgVauu0ToC1EIG8CgoRn1X8sHHNUfalv5ScdklDswyBF1vk75hW3V rUHBv4Wg70IdvsbVR/I/rPlxPKBkbS71KlpIAnv6aPrRM/Nmz7+isYmBR3Lw0EjxJU8Pr3mdH+Y0 QvGU/l17/m1yDCwmXBnG6Egu/qOpZSq6vFhFeLgCcxMveDczEuG860Ya+OEZ9ChbDK2nBYQD0t9Z sVxbi6xluGMPznea3L/HzCcOotXLSANj44k1GAiVXNZpXpoKye01xcP6NoaQ5z0VMzhwIwZy+56o kbPLKc3hBocuVxn1gcMf6XWprKFuc8FmcS2uOWS06By0r88zm4Q7IgOikXDFRTboK6RprDHGL28i JzPc9iqBFWQprwuz8bR78ks1cXkPB8hM64Xk9t1FiVFJeuIYHfmP5ihgJG5D2CtCNJEjrvC0fbif tNLw3B8uiLjoeUN28c1cxpIxG702cAo9ASWgXvuAOcftT/s3MOrkx9hlc2pQ5xX34SLuWapXldk8 PiusZrES2CO1r1fZCp8x+xq3BfmHh9XiQAgapFor72lc7Al3L9K+3Q6M9RqtJ7dztlDhuIsp6BM5 UFVgY2owl93GBBjq2/UbJnWNWoz4nLddo7xGzUKxrKdelkcgdWd7Qbyu+G2QTXB7n+Lj4jbnCIU/ qVwSQA/vVsGN31jPGbCPfj0pTkxkNPz3C2NukiCLhqbKnq445mmaWw8dbo2ToR4GPiDytd3IZWmz lwmmIPbYy5zCVo3beH2Mrjcmoj+lVCWAfrF9QB+5dtI46eS8apZKeJT8tJcqBVey1Jc7xm0YImRb 3bVv+5oCE6011PsKCNA48YJea7p9hMqZ4qep3CYesA6QOp9ZJDiAKrB1ZbxwH6tAsUsg/yLSkTEX b9L+cdcqgIPDo7QVjmLjtVOPHMzZeKAMPYgcRzJooxVpKSnsnU8R48yL893sprIE4ARn2uEV2uG3 TSHLBWHQQB/QtjjHv+4rkRrXjsYp974k5JIkpqATxZqKTvOGeTUDnDkWbOIXCuVT0vxSro0B5Kjg di8kI/FW3cC9v6TBYBOXDWE3BljsGK7pyuN2ersLGPpy2eLBqHz7Fmt/2NRxtnZoEp41rQNW+J6W PSiXch7INbqn563tj1vL69hXEhJOYXmcoJYWp7h9msT80ofsqnesgaMzJ2rjkss4Cldbbd009+zt iDOleG/zVOoMVf2VdvlXXnfOalJBhbwtx+MGoFb3tab3h5V4QewbP51r/+Nq0KxR3s1rmaupzuIW rMPQ5+ErdzantoLk0f/9EXBk8bKdRYfwG+gIFxl4g6HM0Y7ybDgk/AH0NUf4r2BGArTXZ47yZhmD FXJpXTwYSRdO/J1Ejhh8e7oUShTec+yQuqAmzIkAXQHXnCRu5Ep89dbNch2cqmW1gC0DjgkNhcb8 h7te5zU35beQtIY0pa1Nnk0Zyu60ipq9ykoKuHAzK/Vcm+lE+DjIWqEA8Hu8QuXllq/XwblIaWDe ERyVzbVTJhRUbT+RZtLCqwJOJeLXxcyjBjY/kRu8J9xtP0+JWuqNmDDQlf5i3pgzEGzkH6E+WpVB MHksMNufd2xa19PTQphUGoTaRBWXW0aCNUjgWKOWTkXqMtFl7EJLMkwsLDcAgORtr6ebdJwN8+OU to9BKjnrputpHXL/m2s1xdvguMIby7gaQrTb8eFidy9ZCP++Gb7y9mupZTYs0S/O89A+jlYNVWEr wBxPqFYAyEdzGfB8Ag0INVE6Cv76WHbPfKnpm3n0IKE8nZ/ZlnfmtQ7NDUpK1thiWl7VCuvJfURu yfHIIo41yCM+Y2FQ16FWCe/yZbJhTybL4j6uuWqcXfPWStIcJh1bXrb2Dfj3p3SK/UoPrjUrSDvI 80FnJACViKR9oQ7Nq0ofCKu0f7ygZFO51XGufy6jQlEGVWJ+4nBKQJjg69kLtPlaZtg3xQD8yOWS C6L/q92Z4ziF3JgxaauW3dwcxaY2ttiEgHUnkmNfSWhj5/cEbRrafgdHpfO/koTjNHRxn8P8LRx2 jK83Uza+Lvqdb5ZB5Ka9uDiDubxWYgXbJvGTBsSYBc48YWK3Lo15Ua1gfRP3kimsQ5A8yDdIsMNq K7gqg59eoFOpv7e3iibzkINyO5S9PaPzzrkRR26DIJ61U2fxtiVeKIC1fMQE2u/cMrfMHSolhOg2 7gidfCeY3hjWlPo/S2CPW3t50Tu+Z57/ToyQ8nfl3gPaMoS/UEJD5eZYDSfrROJdQI0aBHOa4xhD k1E4RpjAosDASUu6xvm9s/t6O4K1slPhKunHs3BCBovSDVOWm041ODbY6JSQ+gtiW8iJCYQNEhOl 8CviG77K1UbtvvL0IHIcxqoMEDfAxLozjJLZaT1mcF5YhMpioTkB96/yll4uIGYEeFwKyUmGK4fe WDDa/ejdhxi6Pl59Z45MKP7DMkoagzlPrPl6rNpc5Y9T80857uxtUFbypK8qE6MuGXna2DiSRcL1 Wde8U2o8mRLURNP+FAw0cZfVndjtOZPnBkqvpJNovGJN3/0DmlOJBV0mvz77lKv4DcYMOxHkDVK9 ewdLwujWgifVOm69armkqIThdz16ZEzJLGqRgRMiJMl9ALOj2WXs70yx+S6MesTZs358/QrN2D6B d3r0pJu1QBAGR6+MPXCuG7bAMwUtTiLviZsqPoM4rUh1/6kIbbXrvpCLFhWQm1M9AZUgogvfAHVa pfYaVgz1E+3HfV6w9x8DuLw4YLi5F5vYeB7Qob1HZuRjKXuEr995aMZRetYWHh8wLERs4pbwFs7a sFPwaTSRB6vZbvoDNFYhFKayyUCvwO64WfKze5bNY1kiwWk0nm2kbMX3s/zMuY9JLtKyTVBFsi5r 12668zqgUqlNp0aJr2ppyER5Vqs99xKaGPjDEquh2AsgFpXYxz5Jj3s+bm8za+c6c92ib6H/K3xM fZkJ8UmrZR+g6+N7Dh4M08NH3l1H3m3Pvr71lgLMXgJvK3zsexD2qrI+ufdZbgbucwha7BToNLnK Wxap5KpE6gYpmN1/gPwrY5l9G6OGcq8Wkdx2EVChVU4hfFh8udbWGYgZAfHo2ROTGm3poFxqUl2+ U58DPHi0VBtZiAw/WkSBqrVVCbSosw6mmxI13IkmOGudzpzmKo/7qQXsHLL4nyRFtNKzVj2TWAdO 1NWtDCJaQHPJIUEt2zFmiYK9WJutl9Oc6PTla6+6GW7M1cDtvjDK/voqsAoSr0AXFgYMDMH1dSnF GFD2QVBEZ4hxzk52RAINzxvBXXjI561CPV8faYvcgSki9ixtNCclxb7eDMmJ08Gn3m/Ilmw3aBM3 C9X9qSpQv6iJ5i/SpW95PAhYQcJAHWtvxix+LvfjOYMgdAld4uZBVYHZsH9M9/ISpv7UA6MxTcKC ZqcICb3ATYmrNK9KV+FijP1JRTSOAV0P31yNOFX1+GKZuDEojQfxewv555js7z0GUPsBhecWiczP IvsjoPR+qo4m9lFlkX7DpFrmYgMf5vh7wBhHLHtqOxtEtY98Kvh4XpUru0OU1kDwsSMqyKKJnkLI 0rBaeTOY5iZRzMz6bLz15O8qXyumbDsggFpBX/hpNws27iP0CmE31VrnYZ1ZdklZDu5ayAJda2+c 4sQpwmrU/sYRq7E0WBbt7ayvX/pEEiycKkNg6JHFWd1K3zwLwXRw7krneZmow2twUFFaNNMhtgRC yPGLmIQBlhr7IhGLcsAaUYm81MrGEEsMXwb1Y65Ymxrhe+tKjH6SjY7DGXx/fFltdD1RzN7RRFSj K0OrCab7V4keBLmRfRnPdRHewxx77d9cPw0zBOJNxcv7BM2zSk9+FueO11B+UVKdCDx609ImjxJf PTSYOIujWuuuMiqheTRsMJoOhsebI9DhbqOV6jXkNA9DyT0+0PH6p1cRQZSHphzTD56/6edCzvjy 97oJzyJRj7rhgZTW3/5OzW4Ul/wjYTl2HqqTBrt5qcMOZ/C6fJ4ojZVYKldr81Pc6oeOaw7v80cs xh6Ny1jtawOYaTRNgO5pZx7fvaA4wvJz9p0/pOcUuDe2TSiAKh0xyRxE9eN5RyJT6/tuLsQRLfiI BJQJvkgRmEUpZSh33XFp8wEYXp995N5k10X5grPhQtgifxfq6Z+gAMYPYnPPIYiPuRVaLMGqprRG HjQrfbzMn03QiQ55hTDx0qHJ0UMSh8ERzepMWmLWOGNrypvg/9mYWXGU5ATNU32wM7+IUXwtHI5T eFa73AKF7q0KiDvEoLpaLfRLqCEs05CNJDwglTgI4V79YMlbCwd3losNsZX5yjsJI7anXSBwGYoH tS5xHK6X3bJp+X7PWDZvy7lcGae7/20ydlJs+Nm7iwhpjCPeHb1PVFP8gy2/TlXlEkTcKjS035hT 2xwWr6hCQvigt73rZqR16POpFP1CP8ILtycEcmfcLwHhnE4zbBz01kQnAW1SeF5OLzzHOyxn/eNo r3VqxdQgscgH6aybKVwaujSQkUIXL+c6xnBer+AkYknXHFk+0CK+fzdes73K7D2Fge6/icjLJOjt RJeFyyDH6w6WG47a8rn1+eSA9PQJn6MsUs8Z5mFnljYyietn43zTO/sGq5jSGvqCYIbEwYXS/Q4C DXqK5/99w9L31Eevgfl/GX6YHatTyusM/WKmRvRulA4gdQjkPHmqsDCHsts80RFVRmmj2Po+/7Ah 3cy7btaNVK+F2hfx8yI2A2uHvUMBfpjBwcjsZQjkym3MiRTPYGAwsE5/KbcL2E91L2BxSIv1/iJq jvE+KG0/kVbLtwVBexnsDy02qk+5gYNUindp5tWTfCQ5yM8bdNdf4jm2Rz+NCS8cpQkJbDHBs3Pi FRE77vnmRSCgz8DYKWJxU13r/q22F8+kdlRvWjODHMgfE+EKO0cMzI4uj1lFroa+VgxAdMajoPN7 3HbuA8jyrxAbCPoZJ2tTHjTEueoXeutW0Iiexxz0DsAFoGOUSUCr2s9rgyJ8Doh3UYNt4a3ZC216 Uk8DzdfPTLx7Fukdt3odlD7sc1dIZFwigw+SwaAH38A4MDF5ZJ8t3p2yrnNf4sqPi5TJlQnX1Mjy 3QLYJoQ5IAGrXuGSe+cLycLrZKvoVoHcka0yu6uqQMwrom0iFvdY3s726aGu2uNf0pQVCRfQ9DP6 m/XYEkWiVHkoksGNgl83OTWBkkr3dlnDCQzfw21QXXVzbe0SGfWH/YyzvvQ0uAFWOc3CYDYhOlTG A0rdbjBHI6V9fVqV1JJdAe+Xs00zwfb8p/Z4sVCcJ5m5izHBUL1JauiZZjhuxb2qXiGiqIpziqr/ Zfa9mbm3A/LU2NuQ2bSfZT8V9BPFdwg5Oq89Zge0sfNM5mA9mw5YpGrVhgttMke16qpB6e1t7jGC ac0WzIaPmZsOHEiISFE6lriwbiouHreDlaoOh+qC51m6VBu62eiMlIJilClZv2vyYnZ8mTTKxnq5 oD9yIAb0Y6Emnkm4ZofxEXNR6ByyHp/WYDgS2QG+kHyTPoPg8vpPl4KjnW5WiliZYOl7bIzUtG/y 05IFE9D02jIFPVXBzW6WwTomsvkoTyDRTCa0N8CPqj5ktIoeoJoFvl+ac1TX2a6dgg+fnJ3zczH4 l7gBMYdXBEXzPjzilaHUE2TtU1P6i5LLHzwS8KuMnBlHSTCnZu2+pmuHeta5sGtLjzEp6bhm8Dr8 LBiA8VqDA8LMNbWEw7NRqzF8PSsIYStcHW3DmxCBWfl1UX7YFs9AhmzbIbLlhz1pZxbLvD0uwtTz 4phZNuocskJLOIcJ82lrpXrxiLpIUbg/mXoNrE/iZI4usGIesy7qYPsYaBoU6u2r7kWXg9mTHkku MrBjlM59I40bpjiffhihsa2fqEtE3ulLY3k4CXR98oMCAzWrQNPhg4q/ac7JtGTfW4EAA0DWKsxx p7wT4BBoKO8bcfPcQuPtdvqJhJRZom/aV/nVjmrfAQTS28kZdWXqUy5EkgA5nwuXs0jHFcr1kJWa crWOoivDuBJ0GEDt0mStzT4qKBuT9Qp998yyl+wgVYzl6rBal98rcvyZm9lCLm1UqOveEyd1UXBs neJViC8/i/WIAq+ZDWiHlVQCdNbEKmFc+IgL5cY04Zu0atrhmm86+yiIOnLCmBPTimlb1/P6CeXC 9xpBs6kAlHv+ErtkFq2Ha/9Kl12HgaC/Lgwt+7Qjc2opnYQugjyCa89ez8Bg1rUiwmHCkPoG4c6O xHiKc/7am6zy9Xk7tuIpH+Z/BcXG9ivFsc5RTM9PXTa3BNIoxJOTtTfAZnRmV3RD7NgD6WsUfjcZ 5Z/w5pICS1WXo5w1tL00iyTk+aMb64v6AdVHEuqb4bmSit4t/3OwCDOrhMYII1nMdt9XZzX/Tvdu sVzCfWqNBnAtkSSN+xEnA1J+MEhVQfgJOFJJBmK/EKV+nJMFhUKclDaMGnhVvo0EHEnmtQT3xXSI u8ra3l6SJWKhNCFqEgiDdaLXEjJTR67TNPvEZJuQprIpkMP9spSiC9h0fVdDhi5h0rsT/I4oLP+q IuMxog8oBR/ZZ5QPpaBVi0i+p/+4c4I0P8swTRuFHDr39yn8wy8HHHvLedMKEb4FnCB/M8ztovIq cii7+XP2Y60ewhs9y+/sK0hyNFHNIZ1yWPGJsv/B5vYf2U48ctyOoz4ApmIdv2P4xk0E1+QCBVoS tn2CIzYLdUq/FPmVS0Ymfv67NCeX7ZKFw0um94LLJdwo3iBvoTFiOZCHK4GaaPsBbGExDw++aIWM +PTQVPQA3D9R4sb3r2zKceXx2/gYjlPLQ2V0O/Hckk9TY0YevAxMMrNZC64OLtVqcax3O47sUjin yghk+NnYuEMr9gwERilpXtKXgCACqXmrr8Zksh5/6FpowgNc2EVgVmzevOYxREfxDqnQUPsMdaH7 +BPPkRvQ7OAwXP0VMzrX0/4wpwyliNq8etcUIkR/D989yTrtQEgsFMtwyvItwakgdRmpujHfNn/u DUTytBNqgQjtu5ZkiBcof8u4ZHxV98ojnLDzKY4fflVm9quD3EpSVXKYsnHJhiJh4kAZkpOfS8WV H+n5ZALuytG64Iil/jqab7HkyqTYuZ71e5mo1Cscotr3+pW6dKJIWUVzh4VqOrvjpg4jykVV5zAF 0VV5swwMCzFP8O2geguLsGReK/IxFqADirpgIP8UbKtW5qRllbo00MLlQyHykNLDb3ySJJhVV3Rm yVPAu70dSYFgEpoSIvvyVghWEjFt6SEQgpmrASYrxE1QFnHRtpjtIFiIRGRv406CmP7kEA93MVBU vUO+xrLaEJ1U/sSGnMhjYHqYtytBzTyuJPmMbU84IUDmoiKQhDXcXKM0eEAUM0GiVitxT7cNOV8w gAtQ0F6XS/DuWkTWV4xg03VsmaplP0sNojeIS9TB9JdJvGsi4EyXMzMRd+EXB4cNb2u0m+6NeMjm Ea8ItcC7yZSQBGDLYKBVn/IlDQEvcP/ypbCeZ5VakE2nuvl4it7YrBUszn/7KEgjKNUiY56GWl+r rh+lNbqwSPJsGlpZDthOvTeLXc0xggBpF9/WfcgBvIxUpPczW3BejhX8X4vcNRcausjuLgbM4T1k noZxwH0E4pnBMHN3Kg1HWHpmRMEOLsu0qiapdjULcyGN30iQ3Sx4Sxl8x8fSIkw1QfDKJiDMzg9I Dz4sYv4PuOcRom767P2OaEUS8BRKH/rMwRTSKWiZAYVEULoh+I74cETKRUP2+2nQZj60kxBR6f2G ZeJ508UE4LukBcwqg6zyaTgx4VL4ki+C78L6g/H0k+ePbzyvh15+o/yAemplkAm0FaEAY3fo6wiB 2AdnQn5n+lVAstewMsdl5L1v+06UGlBY6T47oqBKGeldUQ4amAiQpdyt7L4d48vh8P3FZMwFYq0n R3C+QeHypiOaaF0Dy569MMX0cjJq2llZpMTpvuipaLsrfvzYOq8Wr28tlIa5OnDcnvNmULc8QagE sznTuIRPSBvKJJK+gNCotrkW/0VnuoMNcX0teLz2hkLoQnuy7cAlmvo8pqT52nn/uFNOb/PbxOOB fDlIZBkuZcpNobhgbDmwdh53WfQH27KrNcTQfTN5p8G0rplEuJB6IVKsCTgoOneNtyW/Tbp4gkVf v4Iflon/ZGprwujqzVOMwvGSzG8fbToaRldQeiWVSUoBwOd67P2AOjAjTYCwpHUGYg6Dw2k/uMQQ EXgpUKhEPFeVNL4a3jem+ABHwq28YHeLObk+aIwrofeUmc6ScA/y7haQkpGK6JK/zSyB88AmMiRK VHO6Gdr8TE6wiWz7EA/6RIhKq/Q6ktTlcrb2f5KxnmHK71Ptwb1AiizYg7z2kn9cn5BVRvWcsTaV Yxy/qVc2YfVA/iIBYBf3nCFtYCSGKelPHsFNg8jVP5wmtxEg75DT7EZdPLNUWnuj8JE6xQMuhz68 ckKZf5tSn7bmiSQfmbcoz0/qVFL9zcFal8/aSypu7cfY0rb/JgAxpyRvpbIOuemppF+Yw0aPr1aV ZXsQE7C7nFELBBcl1y0EPqdcthuktX9JXXPWJ5rhZEO5KVsqIxuiMXQ9PmaGApxxa0F0+K/Q8XyX ZJlg52C+tAV6HaHzuFyuDchB9w3pnjQlrp5wTNhy2SNIMeSQRqArRyjB6BmXSx7PInFX6qaKX3/3 vVle1iFuUz1MW2YM49x54dVPZpxtT3tr1IS3s0okUWh1UEySRsxOoZPvF5R+eOH9awAMDXhfmXSy JE/eNpCeaZKoXEeONk3ekonkHRzVEon8XjB5SHv66JV0JMKJEH2aCQu4Cah/D0f+LPPGchYkdWVU 6PagdJ/WQAlouqIGlke3vd5zdxGMl3wiq7R01+UeZXb94xVAs5qwZusmtZipSQtzWywUA/3jXJP3 PPJIcjUdnGSjCVx3sZL/UXp72elYiQXSC2FRNMEtE5DxzSkM7rnDMY5w16DhBCz0ogdzvGbJAPPS k00Kma7t0rAOIplhn+iNj7tcylkX4FkIYJSgEnNuL6Dw7PPVjIa2+w3D227dpF4eN5r+IQpklsjD OrL3nWNO2aV+Sypq97nUtSrU7regO0CfivnA03CfNizZZKYQaId7xmH3nEyv73diprzLuYJNzn+R fqacxDSPTBe/PdYviWam7m0VJC/LdK/XmRCCWh0osVnuoP5hH1g09dG122kvKiPKPBY94XZSc057 NsX0N6ZGZrIyxOu9nFxsUbux93MMb+msxyXHt+gOTM48+GOqqJq8OaC1haYH1HtW3yDpDbHJSfWB riN1ETSYarwY5tBH/xMQv6RP6skU7I3f2yasCj5+gGCXTwvQLHHdUX6J0aCmjkbmbhuJpNqwkh2B wGZ6zF2+wHLW7kC7QIrpy/BNQ2Wfp2S90waaZ7grQAtEyrhSRBYzXQ+hH30Vf2IndrKqTNieWPbH g0h/KL7hw66ieW09tjrr1d0oBp9nlgwIIUJO9EQPT89ujF4QlaYCM8bwDUuCHwW+LkuT6iUodAqP frv9m9WW6J/b3FFY/oEZLyTFgWlB8EbzvdmAV/7S2U7SJ7r+a2DCeP0ohjX4HcLDlnPyqoVhwKdg 5XcDF/j5h6jiNzY+h20qhAvZBG80/u0ee6q29G1/mPAF1iCgSlto/L+gm8k5kPc3xWrc2W1q5iGh O45CxJH4+xl/C3s+h0Ng6A/nU3KxNhGWramSnuB7oZHzOl2A3DMhWzGN4La3OyUb0jWSoDQYmwG+ WFvtPGlzEZH/+x+RucoRgkflHAGYUSMSG8cTVgDIhzjlQtCEb+UlC7WsIAQIBjnNtfIWX2MNeKEk VbxRayCwBl/l1lPKMZazpgn7niFyrvZPTBDMutvUYSWtbWBajbrb3NovQDFd6Yiqt5Pq8+PVi6Py c/UBQKFKlqOg1nZ1o1q/wZmiP+LavGWecyemS95p5f89XrH/+JiIxjTTh17ic/9nzFM/aLUAvCLp iWP8oBmvG3M4v3weqzD8st360QjyQ2tYF0IZLRBrCUdFx5EoxOfQiJXJBNyB/OxcLrxjaNH0Lnnr /v/DQlA2z3aZxw/mnZANLpKdGFI/Pvc/VZJpLz4JCDia+zisaZignqR8Ld2yjdBF5C8EkBpFgCV3 bg6mvmuFwwsGN7Rk4q7RicyhVu44IagnY7fa/Kiij3C0n1X0akQCFquUdjodU0+7XIp/eO2OsmaG MuA1c6+++OCB4gBVTlfFQj5uW7l1bSTRl3BCFs7TQVqREP2kdFmM/ZqXVC00s2Nmysj5gWGQOXuy ACObaY46e9NT+ysCexKJTZ/XXtUrXOS4VJIv8+Eep8qL1g9iT/7gorUMbhpZEnXgxLljBTmtdG4r x0hL121kv+E1FcOF4ywpZCKiJ1yvwWfWA1p8NVR2m3zFEbgmc4KoH7PeJA9lPLnZggB1NSbeCkw+ 4DE4+JLtEb22IQKcRPjmKNqcRyKJ8to/i/ej+OwoET6UwYKTxKHOmaOsLUY/ZHcVGR5eMrUTmcjJ ga7lKP+QnnXTOGpoYcGEFuxZoFTp2mZ+TFRJaCOvzNpogmcQitPRVbJ70BZjwRs2rGLhzNoP9HRA 6HN1p/HMIBDm349jHZY+IghK6DzhFzFlFptxO2jsvj2ak4ENo3I/NnqRBOVv/C+IHDza0PXr8LGo SfoAuulSNInTSpMoxWd/E2qsp3f8XQpRph6eq1QTQktlEVK8rzE1qDjlD89lQOEZ9Hdp6a7IPzw5 BifyXKiIGnmHqmfW5KYGr4BXSztgyte6LsYwFOVSH/MzkPxRlefOlZTdxEoCxRf5jg+pgSNbtgkR LKUSBklaVTqC0Qnk4WK0Kue6oy9RCNSbxncwEHosyCpz6RggCw1MQkBkiavsl1ubCZZ9YeY+FYs3 N1LGtmXy26ZDis5dGVmHeCCLTkYV5B7bEvIHjG1QZsFUNQkhtyzhEws3O34hsEQpUhMClIOyUOls YWbluJUqa+9LQUUSG7wGwLYDpKTO7Ovgw74wwkdVlRDX1UbenLTr63GipnG2Tpm7oLxkenyytnxi 1uJllZe8cESdw/eN70Zo+SDRS24juXSRX8jaL5/Jo+NSbeeoeq5eDnO2bMN+Zf0DlBaCQzSrF7LF 0Vb6ULOBSDhPyj9/8OHU6sNiuHnnVcXiyeknvPPHNfbmbMD7lDsib06KZckFQfy6/MI49wJcRi9H h6N6dJ6vqc5Z5sqXXFIH5cdlIeH7RWd6n8hUc401Zt4aAG3je6zbTGHxJXa4pA53eYzhDvc/u0Fp 98d/YbS90qPQiRwWBGXAD941Nhw6ueTgY0cFYlk5kR+1SXZ/gJLc6M7CkuZsbVwf0fcw6VLt/duz T9ZcewrUIm3my101EJSSbGE5WEjMwoNdDs6OL+0afr74CFiPdqON3b/m/uzGNyWLEN3WMXSyLd4i unTfPzkFQe3wKBqx20wL8S/NfaAzFFGnakgXc6yCdT/6sCdgekWqRNoUUyiheHuqXvR6uctF1XJG JUXyWtKUNvtE9QzhQTaUt02azbYT6ivZbq4XthapfQ49ARtnlZr/M6o1WwUlOsf2GQ+M0EHySIPp bmx1nwZrzV62WQKc549y4hnbwXGxLKUNbsnV6Eflc4ln1PDb1UJXzzlystWbwZA/OYkSRZ7gYwVp DLhorLkOuMguXBhA5zYdRYVNVulb/iq5qxcdsBDjBccXGf8p7MimBWQU+yX+2xQNRhEwtwjn9xgv YCgC7h6/HnQ0cqaU73aCoY6tMI2Yd1s2wpIOtLiCzrDN2EjAOJGZYWcSb0YwSYIeJQqURDBZMHm4 lwNZBXxywnbalxXejNnjFJMDud87TuNzo5zAgNFthKlUTYtWsE8xwKTFRLR/P7yNOM6cEqbw0g44 s9Ng6+5utDKXYmhOb4+DeK1izr4ra8UEaU7kJt6EskHqdXb869lmsRPQW3jvtF28l1bc1g6wD8/p hzHPLUURy57En45QTw5Y/T+k6wmzZ7BYR7u42qDZBsuR4YEhpW48k5J0eeQZ+bPNPMhf4ENiIz15 kzAU/+fdp85fmleKNsDvlDPd4d2X7qqi/WvGiTXC0kextLFVSlSlLke2E9MqmrC0ZNi9ICZn8lCf 3KwNa4wl9pAvIfO/1VCFWJ8thoaFZpweuxBQ3lbzOhL9vLqSNGmud8kgURbvC3qU6fUaF8uVU+u1 njped5jTqqb81qmb4NtPEpIkzIRlPJT45c5BRF9H5ekUkjhN7AyFiolpKnLz4q+1qd4GBW43Bc9O jgdwiF/eZZKqbSTw/vazeLYjXiwyX5gFM60SEkwAByixqKQo5iJT4/pILdvekEeEjFVTSa1kzRbw F9dCWCuwVNZ2uRPMfnQXVfdeV+uyRCiLQ02WJFWR2YdCTpGKa9KAxuEMZlVOTynFs2ha33PmmxSj 6UMIpPXfnClvEYe5A9fHpnyiOpkf4GzskbMFVfB/lzuK6Q6NVMoItg95CsUL9015dEVmSTgSQ7xn dfWhVu/d4QTM/vcY3vE0vHfcBd/bnYrZuj8ICCL1kEGkdB2eYhHRZKLfnoIBWu7uYd8JYs063xpa BUNSvBhreUjJ4cgD/+eJb9PmvHKifbUeD/B5gh85QVt8P9/na9WVxxv1+KMcbrpeq6kHrTPg/ZD3 5LmGqysKC4QcgZzn8svb6+C5RC34xNd126OhunS3mlRioqAiv0I07nw4BPsCzWs0ZZbngu4r9spK +FNwhCDXf5eMuyL9SDxfV0UArTRrp7WMdghSle9xfSROfnDe5sbLVvG5TPIVkp6vwdTps1vBzfD0 dax5MYn44cTQA+Gme2jfhoVtXC5TJtSz/o8adJ/1eRZadqvBV1nMkRfjKqK+ISXeE8UqmYJUuVy0 LmvTesuIpA6oyFdIEK13AoEYzv6w7FWFZTZ6AasXLcsyjAAV32Bezdj9B83iNSCuFynF9Kq6hLo6 zUdOp9km9BB9Xe0sg/rhhRKsT28vSbqyqpx1tYrEVw82+QajB7JzI73xmW3HDX9L7DVsJv11p41J ahF3AJKFFSr1mptFgZqLL7eTL7PR/cQQKkchm6AJu4y/9IBpxibJBLQq2FQ4d4dNV90G9eRhxoq9 wTPbMUxR7D7wjb1LBWwF2INX9/EJfWp0Nx/5RUgeuDGGEfgN8lBBG7sN5f0wlmBJ8QQc5rYg0dAS AC4d0Exudwi6jv6EAj1NJj9rXMSr5dIxgcSOmZB0SNKNF8VCSWt6tBRe1AfW8S98UAPb7bTiCVeI H60iZ9jgAwFFsqUw0pVFjSlTXdk0cHSnGopPcS1O/Su/DOXVH5mNZZECG2jUGLMd0ZpgcD9oxz3n lS/0dta6q3EddciIDRaKI2eMzzgVgXZ8Pjml6USqZzDtzfEpWZ7XwKPfg10KrSBNyMZgoXXG2SOu 54CTA3AZyx5KN3jShdtHfb4I8CD4aA19lUgNbTzk1GsDwmkQscirygqDucbC8WV3FnCusIcaxj4f PhxnV1ZlL+iu4Zz17HthZ7bpbWJDUmsMl2n5cK1Q5cJ5ytOHirw8dn5hHKjNPnrvPCE3B0vUqRNR zT3NoZ3NU6adq04LzYlw6Sqi2qQustdy+4zQLru9AD0nnm7ieQiAQrAB1gpgedwukPDa6KNhgsrl WXV5YUON8e3Dh8JAGQHgSOicxV1qV0Xx6whS/m/cEADZuiZkeAZlEBNhadX3L8WSpwBuIEqr0NbA KLD4KD1H4OA8DfYr2UvZYVoAyRtR80xK5i4CcChMosUDofmj5l+FtDzrTXbq47Lf6xERhYfVn9/m slBzV9Z6ijyvGU0bCQNpjhQ2DGauXffMmDxhR9NiFcCnCslagnQLj2mXkSyijK4u9o5zHCue/fBb 2Y3+EO/Sx2gLUVQPQvv2kh6EKGAAGCuv9+0YkjxLrzsl4pDFr8Fi3V++e51y1r5aQImbQJEiQ8EY /ro76lu80See+mpklRloDqZSQP5Rna467fB9usaKbE+rd23w1WX7SeBtAs6Bm+xudi8hAf7W+1lR 9xT16NnpspsOjwPtXnoBmFoSVzqEviqWEolald2Rc0R4dZEgCM87B1UThaO4UDtIoLuj1CkySaOr 7PgC58P7/1Osj8mfmY3gowY7kQ+l0QdEJReMQgz2LvfBpKEg0D6/j7+gZEKrU4hA0slqSqQqvqZB V4hUIkpoQH1mWymUuxiKdKy9xPYDARUxoEwKSL9C5urjn2mQSesxQJD3gw9QybC794n8uLukblq8 4D+YWUh9izL0rYfHtYx7XsD27ThJ3wguhLaLnIhQ2tcAv7eIrg5iJxVK2ngA4VNjQ7Bt+m5qqQtd /C8iIdXCHoK5djNPiltLdXj/+fjyZ7O/O2+hqg0i6DCRcCvMsZeT0RDKa62JEW/WekENI0foJBpE PmwoZp5+MtGgnlsGZ48FIoZpD1zCTrWHmhn+uvrkN9okd0F/1ZAON9AeCLu0JGSZzY1VQV2Ehefv sbES2xotiyl/r7kzerydxPW+4cT+psTBrO/NCejzyJ5LoTQbWg5mYa1iJSxyVuv9zaVT1tz+Bf8l s0KTZvq5MWfmh7XHaVcManqqoqw8H+R3DdPBo+2APn8G1Zziunqb5m1CQFYMiyRkmSLB1MZhhOUR tso9l4WP+WlAg99Pv9ZI62od5dRNvCEz4zzjUuGdKIkOgVt/daNRSttpa9kKl6e0/0mcNgZGaQ6z mYfITv9A7eIXIfIWfe8YfqiwXmwdbUuA+9E4cmA3rIk/pLw56tNZjYkPjeugXEzGRK5EeGCdx/rj CkC6ZDx/VRWWAdkRQ3ry64vKYhxN4MvZz93wrlBqFNBbzy9GwqTI6rVPHL2I/HG+KaSsvDoZ+S2K vAZToj4+Ab+dBmgLEB81T0zZQT3bIt9tpxuWVCD/h9Mi7puqbNmIFOrdQDmuowxa/AA23ZmzHofI Ov8W9QyfqfXiOxjRK0+wNhugQdJUWq6pyUQ0YWmgjpbjf5naT1KhsbXne1bIvNA7ZLMuOK6XmibE gFzFibaAwpgQElAsT9+u0mqK9/Hu/q94wjKtic2/DM1AIce6FGwWEXqRQ4nRnDFSmohg7GyaA8Sa K6iFanNtn99iGfoebV8vkUt6unOUDVK2ywrDq22p9xvAwosu0sbFc3USvup9oB6wH1V+4GY+53TS tPtQ8hjhd3znKA7OjloOKkFoZeKryUg8HeXWXgk3lSfvRGpwSKfYM+XQLthcKTQi7ao/i2MRwczl mY1ZNW1FBHgMhejiStpqCTNrAdjGmysdWQgiywIDvtutaxyIT8XoYjsKDuLh2V8qT8XJJnN/pSOF OK89iL6AclkLyeFwo+FJXZOClDBLhRgn3DfHnGWG7sRvbUPoaJRAzBnZWdNldzpfc4ijJ8LzOHZA 6tsvFHip/ZHsY7QjxajAXxbC5e7xjKuJad4kBf7Gv/hGaro97PMh0twR7V2KHbTebndFQV3s2BVY c1lSUD0RMvfa26d/kcyqYFhZvQj4i8D33iVsVsT/3fqGLyksAc+w26qKYyeyPWys+i7riClebXGl ARYfcPiDu944JSBYTX0lfKDrMLKdt1qb/eyWoxDhc+Ij6OEWS3Z90xQvdiFmm1tg+5KEWulGS0jH XJN0AMdS5mCFzORPWEY2UdYC7E7QFQBgIf9go/PffwAM7X+caMi/BvyUrE/bE548N0dnKJHZP+nE YayNnn7aK/4AxiHAecLEt4rNo0mEK9we9cVoYEPx5K2zuPLmaqZUCSmUTzVYk2NPKw799ysLmQrA n8oS0yHdWy9+ZbtTogmyJ3lVM3VvwOmOIf++gHqeXokXE3ibg+6sriS/RuLcAk/CL8R+DeSaGUj+ e1yyXnP0He0pW5BjfsXWj5rSmWHD9Nx1kyp64UHHiWBPDXTWO/sjS9JJ8oT4c97B70hconFROurO TTQ9Gl997ZNmjwJVd178Djg8cJAu/PTFKB+peUckQ219QKop5670UyxgsFFJPVMifnseXmcz9mFh yPnfno7r5Uq4WFsSsBwKJblf5Ccd5Lc5xrPwnjTUE6H4NdwbmcwxiLwuB8m7Ot1ekOXbjQSfsXfj E4bfETHXbxhBU+DXlLFBTZBaTm4kzcrRKmIAgwMEY/ExvodqiQcIM0SiLFL+F9uCzbqMlpsS5u9T 6vGuzlD5puqL8B55+1zG48MKKsR1+WTOzDP8G/YFMU5fyQtHyTyQO0GbTSkgmCc4NMKO7UiO/E1Z 6wDzxIXX03yUD8EY2D8uyvtUdDXPBs1dxrUl14P2E6pxXs9qSJiNRCh6ioW3OhZje5LLHnbB1Okn hOOhbPae5BhQg4b9soMGFv5ValPWbXEihdOQc1lzPkwb65l7N/b0ai4oDzB6uQwBa5O7m2xrlcHN 47/qdwZIgIN+v/DFmgd4sk7WDoDJ2oKG/zpeVZopX7nwFf/qTggwSwJj3sHmmSOOjZjm6TSHMvb3 bafLGeoY7sPNwRXbQPV8uE76Mz1un7QwJGQ7941s1YxRhkL6wQvC1998fFGaVu0bBqKdyxjaMbBK kfp0eeD09+lXsK3HlwElfT19idl0FMG5YMA/M58/cDZiJAIzq/+EaDc13J8TPtmsKjqCk/ZVcWPk uRGkw/7nRU0agahPRd0jLzRASpL4HlYfEK6jFwM4ZxR5VOVJWNpizLBXlRbbN+hAwbLiUt0VYR24 58yZ05HDPLa4uyalzShFJ8ZIYX2WZyHRqWmEQFYnu1HZwgzStSAp6Of2K6zwJIpN/aQZ/OWmK4VE 51H3foHlQcWmNDnrQwSv0/Bcp1RmzA6sp5WTrQ+Lvp2Ov746cjBfVZ6oB4OW8156GcDq0eVkZOQU +KrxmJqtsIHqpAaMNXa1ooWSfrPrW7XL5IzC0yasEx46/+XbVZWhHAl4SlKP7qjuzQShlcA/70j5 WXNltUK2JVq+lF8w+PzCBjNfcoFugG3EYt6R4fx9mcFiHD1znqbUvi5f0iubX1LNb1tc2juOJEf8 RaZpHxJEyWj8LsvhvrKtOGEaWHfWDp2ZLdAxrFyC/qZPoTcvt/wpkVbt5dm12pJUCu5Jlu1FdkkD g2uIkCzssErcg37DxRIRJa6eeFUxkV8rI4Y+gx4Wuowy8tWpLazhjktS3coI/jXDVQVpZII3/BsZ i20z0ZuURFB41cwFP9A5EdCOFCX9x5oW8UQ4KAtDXrS4D4inrnraXgmtlJOSzSgdnxKPhR+Lljd0 X924t8wDMhQ/1vfBsJo5BbGYFSAglxOZaykcxHXLr5Kycm4vAv9fnoiGOGdZkxGMxVXumvKMurXC IueVGMxXc0S1cNlaolSCwFq1x9OvtNub8kFYjuC74+TBork580rf8NXuDmG8RQQwa5/AMCxUdr6o iPp5FLKzDpcnZThqIp5VHIBdd6XgWIs0GapGeUJ4rKhFpHIWHBmGgXdgyHwt8Q9ekiPA1eEgLcPC jpP909XX+HUMO0lFrCWqorOxjskBlDS6O380j/VJ9pgKboHD4PXxILn5o3+nrMUQFmEZQHANcXHr ZRHpVHV0pz1v8BgP4Yu5KiCqmruGlZAS6S6NjRl8qW1vFUKj0PbzOwpCZ/sGNkz6qY1UU54XXSPK G0PbuiAlQhtxbCzT1ogbufAiB+jbL5NxE2N+Ybx6/JBhWKWNkfluW/rQnsnibySsjPiIkTBrWe1W 1xtdjtWAOXbs83cxdWAmFGpQ/p92kjNAsizDw2XGD1B35BOXWb3XiRWTQ4/gsM7iVnjiwkrny5Nb T1WlqJ3hW23KHhq6BJfogUPLsqm2y2pWI0+unwz1BCxcMGtXhy3JVuhtYnORekrWy4ncMMpNvyGa w20hOtjEXrvkaPvXTenEfzhXjkLOzTQbELF2e36bngZS8i8WKuQ1xgeQ2lYTIydZuJSS7/IuE3un HKKEfXlfs6L+ueUcTS8EQwoEV/vmx8alMngjWVg5eHEbpzOPzW9Am5h13Q+HGFjJw97nNsBtN8u5 FcytLbkB2xdfztvQLZAnNrww9pGl6yiLcZHi/mdlyeyym/G/pIdgzFrq0c7NFJ0493c+yEqHWKtR WAWB6iwxYa++1jMcex/lnMD//V/8p72mFM/6T3uWJq45JqCCzzszc/4FvJ5E20CGnXokzVCdbnRE OncPuV2eul3dEkrDb4qvA2W9kxJ67BQIiQeugpdYqWm5wixA+txGhrSegOQ7NV/pU/LDN7P8LeDF XehDt0bUxgH9p7mmQvkzpch6O82l1lDze8BlSgaC9KhqpRIp20OxKn53AMmIuo/YXMsnXz+jTY35 HyuM+Ayu5nGpz+qowpCHe0+TRfmHicYYJrWXjyydLJdgOKLKGkMWXyIxYTD1YKwDzWFPfqhyjQjQ lCaiM841nBEGrHjQ4b2IjJtjJnF4WwVB4pcoYzzdIJTTwUecgSiVd+QorMUkbgMGlGDMrWw8IMD7 IVFfGEZIbkM6bBysfhwrhSStMhq0sUDwyqLijBRV9KOTy9u75QWwNCufhOVO/yyDIaLLm7wZj1C+ 1YZM671riAGct/E57i+rpIYQneva+W9ya7F10tmrfaF52awG3fRKldjvCNl4sZPfTx80FKxbLVOa TlmzVQYEU6eSv4M7cLu275cD7m+433G6bEXKZBsQ3R7/Nn8HA+eQF04/w/OA56vGKpRgIZqRID+o oLzW9glhDF0IEvZOjccdvKtJ+RgYMe1GwUk6EWLex6EKyKCopSWWUXucXmO+lbxeNkEQdlJPgRuE 8SfHTHHBEIFY1s3xBubCVk568IUatMrm5Lf7NPi8FADxUsHkAmwnRcZw36ObQSbF82cXjeatbFHs T31/DrLgpSsyKdtN2v/hDb6WDAfYH1WJ+ON7WLHgGBRF0j0mQCy6qO07RIfRQq+gD5rRalA/YwS1 DruR+ninD/l9oMJaO8iaManw4JSBeMkjCPtQh6me0S0pYAfzmhXtb49w95n8rrs7roOxCbXjbBPi bnFVLb8Ljwg3MzrUGDsqxbjFqKB03DXKDDuHfQU43g0nM4ldpujB3M6hEgSwPjepYfk3XNDX1IMy q2gLPqFkJ8nJREg/PNXB5ba4Nmmqxo/sRZO7h0Mj1TTyhW8Bq8tghScWJ4fPWdvouKaXP3V6dJ7P yykMgu/D9ptp/BS5b4n4PwpRaQRKYe8Hy5FQCNS8Uj2LqXqjP+CJOnwx5lYA5jTLY/QbfLIhJEWQ OcqHz1031CGjvqzhugRI+k60LokGYOq1tGczxJhx/YXm0ljQKosA6tyRGLCAZ/QzNd/teI+AjMjU s1cde6MpG5aJfIsUU8ddFDaVGD1THR5kNCriBliFm/KUhXcZag7m+HGq3sN/IEkpB4/JlnHAZl2G U7Q/oTKcV+B5+gca/nXlbNOR1tqyC2xl6RN4WWMJrNelox05zRVteRqz9C0XDVmnSV7t6aMnl8Dw uVNoapf7gujP/G46bSlLufo+A2FcSGJH+VzgdQ0INQmKr9c8pOKppTXaJVTvMCdk6CrtvSoZ5iSs 0N3/6KGUSwivsJz+sQ7AAjte0RUG3FIYZbpoc2fdLsw4p6k0mqxIYYFPGvSkoUhOdtIRzg54tlVy d5CznwUks52rqTSBDT9J51ADJ2j1hrifjQqIQk0YVPGmo3lMoaaYLITXawuBFgc8S4UCx6FU8A46 crzKRsJzyPA6tR4f4/o6dKQLFX4JX6uPse5ly8ZbTadYVJNWMlsnRobiA39iBpfkYy7VYJXgz8Z1 3sHvPz3CVv3xaKJr/I/beO5moPgFLszDV3bdmip3hCFveyqNzUD06N+sqiwkybW+dU9jiS1ukNcM WmV+9rdEd4RNjrsbOhAxIrxuHedxIPH1A9z5+iQkvpTqVd8XZ8o5u1hZMkMI9WFhsTXIfq+jkP1s n25ojPe5LizUmxmy5d8Wg/uLNN9SeVtqUPXE/piJ8rO0TbtOQVwhEtcIGBl393q1hOalKBloOlyc Qgc2cxFy0DX/44f1rztfZMHWFl9veZWttCe/GT7AfhVi28WGxxIdvMk0vkeouj33mK7RWaSsrosa 8zo/Lk4g656nLneXIapJtVSqKcDwd9gi2K700Z4GPGnVslcXccHoogTSjZD/cgaKxtYsP1ixE4cr l4mU44rENgKc0SMh0X78Q4qHOy8qs/LSrp6t6bvJx2AAG9GyiiulS01D9bjCBi2BAdav7ps5qZ00 Jyyfjq+ckL7s1OiHw6QawrQRFeS1wnH11AnfC3fhLZlUj2wNwJnBofjwuGhS8OinrJfLjkIM+167 /AZW9aqiet48rRZB+kApiGGp8kk+JjI8Z246e9P/l0rqSk4Mk5FX8kw93f+2aAu0kjig5XTAeAZk xHgYguTiOZa/8AGcIuf/T3NhxN9tQJ+g+4S9Eh4/u+EWIX5OJuZJhlUYKuUFht6AxmvhHHacMxOP +7ZKaQHOZu35J1U9Kk2JvFn7mnCYHDdIcaUeyMIbcl+DWaXn3LdvUZeax1R7CiETQR9l+URvVmO8 D/1uawHTzRJQHfZrxGvk8vwz3/L9fAo+Jsi/ywxyoYioa9yKwET2wz/dt15VM93wc3ZKRc9XMchB O04plEuRMU/K1K6hCeR6WaVmVvIXfKGbSZZtt++W3/XXcNZuktWqzqVuv5fxIvOw7U3DfW8R/5Oj cbkiVDY2LYRuOwwvA/Jzdi6U2gMJD6VYVmm6/+gJ6snJUzDdUBPuDNI6jOfUM3SVlq3buan+X36l vkquKNc/1sbMIlzmn8WsjRIvxpT065o55mGb+I3tMeNxERTY+YJwaRzn5vMF9GPvV+oLYd/xjfcA +A0nJhhZ8MS1/tQDeOLPW7VUqY2r8QT6rvOoujxuoWt5SRmuDqM7Lp1CTwGprAJnPNgwf+a1SwKv PggiEBz+aSkdoYSrQXoje5Qw3KGjF0mUPcoJnASY/M+EkgrDPPSO1esc/sUyhZj+Zbx+xHP+kdwJ 5/ATURestDCC6kkv6sgwrtMZvRW/7prJhhDbhh9uPH+gyMdPrT41CLUQhPFmwPWn7+XzZ7XyjOHQ RnSz1qGm5pSxYQcsfWZQZlVTYutDrmEHndFW4De0gTaC4JZPafps/Fr0osW3o4O4rWLuoiNsPEWH 0ckIVeo5LxgxDgVQGksG2WsfZw+9HVq/Ug0ANcvbgtUbvTZvtdjTJyMxG/XdJj9vwMj89++zXyHg 1MgVsrpkuOhol6igMO2t1AbMOsvXHpLnUCjxKO+S6I4SqHVKOMUfQWLdjojPKmaDfHW99Sx3eZ4t l4nQoydko9BgLQoYhCJPeSA63vCRn4/lYGDIoqXAew3RgvkHb+1HtL/Nc5LX41NdOSgWPkXqGUBQ MEcs31AiEWzOM1oS0yqKaAKs0YiCkEgkebNkAcKE5el5egiztCXBCyy3O87XgSTjIY5OoGUUl0Zy fGo+GjgtSEw5y/S4/SosBU4rtDvI4nPWU89SarniD0GKmFND55H5Q5e53XZwROSTVAzznZOZJBvi i/EcDWf6WqhBgi8CM2tOMFDgmBpmUrEE0kLqlRjJI1HPOvrT1mCedUlLTKDaIiUhhMc3jdjE0wA/ S1KrvGyJTHwewqU3rCQ5WEvLe+FUUPiTKyL95AW2g2iCuVlxhU+Gv0q2DRT+zX3PURPDfMzsX78q asSVFxxX5ebNH6h9pWtGym4Zj/ECM+jlYmAzwCyhNIEURPmjAkUe5YupReUDaKpiG3MyVoaQY61U aEB+4QP/q3mg0jhn4KhDtFcHuTvwXDspYShmaFC9oHlAoTkIErhUKpMgEyDrqvYi+EUZhYPJLeNf hFZUm9+sfWWRBzOM+/Ag+7TmfFt/FBO2BltdvhnIE+1vbUytge/U6flvRuPaG/YCpTdnDeXLeQSB Dt2AAaYsEc76nzw4WnyTdb6oCFk1+imLJAI6oPHvb1f715bd7SlAD+BbO78QwtVG7HZxrh3MYYBv k6ap+/cw6qpcfR00MmflCuhHBPmVoYnaIsub0zr3455qm0uD9lNJhe/z3a+TmGe3D7yG3GGVdbDP GwEqwt9CmFdQZ5WuFtvWvPXQtQghWlcQ54szvKcG0Vgd224CRHdpRBi476Sa0zVYU6Bn/QWqRgM6 R68TD9l8kPxUpsznP6uzzP2hs8eLxBkMduHb0LGwnC8LsFRex0+yunkfCPsdgssXrrTCzGwVQJir mcq7bca5C7DIMKaf2wcYT55vz/1dQSZxbA4oTnp1ss8ciYygtYHb2E26HZpz/wQUppleKrR7Nami Zh4DYS+rOSp1asvdTYKiXOTVdxxZzQGmRapZWkj9MLv/6J8sriSDwHot0oGypxpsYdgcN0YWJjrV PWTjjAl6WYCwlOf48ZSIBRA/bHTbt2WyYHPn/W7lwwLXz6a4m8r8B+Pzq1RULhdb8pHXe+daNsO/ EmhVykOd6eQLc201eimiCXEU7e3oNssmdgj8ngTua6Z+nY9EepKun++2RDZqaKELXF1PJbbPtVFa 1HGZy3PmWFErEDhEotWg6i65E6J7XPDX8YbSc0HTgmGXXxcwjQYPEeU+JBEeNO2REc/RtOxhMjJB zQJp73b7ytj9BvQ6hk98AP9WXwBKamSMkHMwm9HcdYAZPC7i6plc/zRB8tBVJEywAR5X8DVgtjER pT9PL+jVlzgeN2QJ2kSEX71GWnB1oQo0E2rhc/9PsWe2EnoBpmMzOEzh9L9SM+ybPW2q0F2N9R4A zRjFm4S+vuWu4FS9TYVTcDx+tjW6khNiWeHYqhaNsAH0mjqhblyhqDOpZrCPqmteo/n4fwZ8fKZ9 jmb6tJq1vFOLRstwn7+HP63mJYM5Co8eh3H/wjj9zjjNDP6PVIplKbAJoAWxF6sNrCe+k6jcV7XR d5EQ4TKk8PQ0k3LMvf0w85n+4a+GuYIFdWISPJ8OV0SJOlSl170R3iuMc1pkM4IFWeqUTTVkTVG8 8C8dN+a33WZIRFS3sXwnTWYRT51yGzkCeFxnt/ziw8oZxs6KqqKJWZY7QLFwZsCF46npoQaKo3Hw wupOAlXsYmY8h9I4nBFnTsasaLUiDBYtsMPpmeu0CICk8jCDMiECz0+BuV5tHuKYOjmFscGl52fS qsrAOm/rZQC7N3joLJ0CWDV0J8hBCjy+Zy0m+pIQ9n5dcKMHcVJ43O3GlX8nxeRPj094oCwkIFMZ f7mLW006jpk843iqQpjnXS5dlJUnilOhYIsiNUshZLwTPhcowtEP2u9bm8kJMo76/cZCWJeTvAV5 vQItLPcHzciIr88QvOlXFasWiloSfiYkBdWe6jF283M8YoDNmbigovctIvfUUphwD/HLcGwdS1ZL hLXYwdb/BbsQw/PIJD2FudUJdlCz8atpaJxr5TbjaYGnWXMhyQgjsbF1FkmGdza7PT7/u+9nMJ0F k2Al/vsESG53KbNwP9kh9y6olblGD7em9fQW42kKkBYXGpPjFT3gG/RTy/QulE0mjQxrvSizpVw9 W0l1lc0lQSTm35wLjG1bF7RtNU50Ug9zk5PNAHLReX2ymFzrt6OxManot/Mts+lj09Utw7S+ESKr qWW8Rw+UYVKmkMNfL4bMWpVqgNufEKuepNzJ7z7owOMNCNI42vWdqKPOzbbFYLAShLHZ4UZvLK5i YzazdHAEOmkuFZE6GEFMvYiteIu946Jtsv5k7MKQFuqCPwa7dxZK9wzdBZLfLpbuEVkT2grPiKTN jdQWthvCzGJaUrtLjMhs1q3dmXLP6+C15nmAkznJ2cUH6CQ7PjDR0DpgAkhTdWVA9EmBDnPVtqxq 5t6dNSlyB2mCyRMIqXu1Nx7MDPGye4zC9jrWkA+JonQIDrmsx1D+fhU8RByElNBT8Dq1OZ+0O7ka XrhZlFRApXULIc2f9WjdVxRc+IPz21uBoWTlJbxufnDMHgSd8EXrLLi9alfSTD27eI0Ge//wAjg+ uSYG/BkqyJ5pXz83bVX+WSic1XPEUZRjiiZLPZk8RwQ5oZ3v8ANTJS0YlL2SpqHYEpqcMffkK6oz me+ycmBdI/DkwxASPBxnCmo3vii6+hlVv6jzr++FM5ZjWRAweP7QCkrW+Vy3UWV4ddFd2USGBWZ3 pBS/isqZC1G9eVjQbi1EGbohxw8KV6ZyRrtiR68uUbaLV1cQNbEKvOCgst4ey7UoVJGPUz5Do8qQ /XsNvlR1JU+q7gbVo3E/+ET4pNED+GClLb1HJLr2PWY4qvTtpI4c+5EUOklbkG6FLO69rZBHCMsE MVXo1k+5Zcq9iAxcXex3sdRTBNZkTO2hcBlq9PNV1FEDhBk2PftUi+gZ/90xKpYFQsj5jeJ5quY9 KBfdZPusw522mZa3aZGng7NIbtG9ZnbelbfN1ndAipJazTX3EQ8sIdttQzgBRhOwZb+pPl7tgmNV CIIpurMKN7E1Qv2yozznDrO0Ek6FI5q0SoiAfhEdqHzq3/Nlf7+7B7/xxHY+oq+ADffGTldVxqDu 5byM1sj/3O3BAMx35m8L987/VY0ocXlbLw4vR5n3SAB9A3aQzDgq6k7svzrwg7+uXsL7VQo/KCrd 7L1PAjer4XIKJF7W6zhOSSv9vFyBdCTEGHBulJ4hQrJ3HFxYT7m1tUBczEGqfiy42J4lb1E9KCxN V14HiSxtEPNxKt4y+d1NylC5I5bze7r9/z2t3t2LNnpDbbmiTQMVL9ZWjgkfCGPl/FeDRiMP5htu oTXblTSfVqG84iLW3L8HRG8B9EVdOyVbin0lap6IBS9/fpVtC4Kp9BDCJ9po/f12ueC90OWQnrpk c3t2wBabSCSWB7EGqpzF6SaVNxoKn6wr1S2YVCOQzSzmVaveyAhwrhSN8yw4cSTcuHc++9tj/X+i sTkHA5xysLOI6rzsQVK0/BInvHB65szHcobDVS9zSLBbrReo24eJ9BwrJMTYguvSXFth1mOIJlsm SP2Pb9iwJD9MJFZOXRh78fvV1QRhxhC4sGXKgLm9AFXiKfFV59Aty8/sGOYONDMZt7CI/itsysqX IdTbWBdE4aejmBMsuD/leQ5UEZwZlEE5fHzifmca1mRr1esM9rRt7ZWQDGZsIMkYU11+lP2AAzTh OBTQQ9Xv8o8+vIuZ/C0f7hbnZdbz4ezVrAVlQ7BElYNy29ZjGmdLVeKNisr0DMoiFXSVM4zg+BVW aSKahyqWkYh/oTRdocNUYnBdhpUEHQ+0+xJBbhtejmaVq/OlSOG/ZMAiSJQ9TpGEtS/HhNk69Vra id6mUZF7iNaEuslZyGztQD+cC2pqJ+aHj0PnbxMdpyAGz51IeW6UmdEaRjqGG6B7d+8jvxiW6P7S o6P3Ne97+0bsEGZz71TUtj1NwNKKgQcMGu8q/O7S8b1NxZNDpIiClPqufpxRlChovgV58S/CcHPG HhgtcN46m15T+pLq/OemxjvvjEyLleqe7730UvQOg1ityRztuXmNN2faO11sN4E/uyNkFIqVSjuc gBQJ++uhSuegL1MdrcDN2DIEHidkcjpTSda8d/9bvN5cjO/HldkjnYRChk7C6NMkAJfIrPifosPc Sa8pSSWCBkXsMuiozBGWqty2DSkoQuUX5HInHzQwN1xtCszOXxB49cyl87fqFA03fNVi88Yn5GC+ uHPf1fSzcJLfDFD8dUw8uKgVYF8/I1s+q88KA4+E3U1c/gVUQSYNjm9DD/cucWWZmVZNT6sIGi13 UdqeDuTW1FMKGqjkYARWPgXa48fsQHGFfnDTtQf7Vwp2OaAWsAufmgWMBN+n/R2JSYny5M1Kk+B0 s8rO9RerOvQcWw07bqCd9GgIEDj8r9jJhEIaDurZc+8W3e7yeq7RacaEgEF8XVGfH5YAdn2ZfXky 6JhOZ2mhSUNq83ko/yfidqvXekLx5OYHFXK68HGo3LdJeA12KLHOpPoiMYaKwarnU44bbIhRYJ/B rfzNZcl7Pgh9v/c1RBpnE37PZ7FBcfstMWDC14tRgz/W5IioPo3ka5idDB7hMsQ6X+vwaQZa2WER 7pmWyix01MA+Jln/Snvv+uIFZXC6Rmog/tvrN+q6QJzzmbg12Hcn21lzY4uaxajWeeqIPWGAJnZv 6nDGUIEUE/KeCQZCYSYGcnkh7mmegTzX/dKp7SyeYvkm/rFJeQEZ5GzKAA4Dx62P/oI7lbxjGdd1 8QOEzkC7OnE/mF4B8zhDfva2/98SuTw6v7dtkAMCNO2jgrHV5Izf/ESWHeZbJM9ddR+Z8mfJnveU 9t9qvxEGY8CzKsK+vLy3eIop3Ks9RXHccmTTJJpgPpZsgdOy1YvE85pY3vO2wVcE4ujpTUenFrLM WnGHM/xqdXWptUBR4AXTCR/3RFj4fCAcbRb73RY/zLnE7n1K02lEYimCUKLyZQtQ+xXzXubfHQ8Q OhbnXfScP+SwiCDpNzhFSQEAvYJtunJzrzdxRqusXcAVYpaHFJ8XDFbh+8ctTskbmYLs9f+JDlyu nKzbyj3dqVzL/8GTZyiAYEe9p7x3yUqlNfzc8rKBHAaANgx3HVzgeotwrNj3n24Pn48hjBBetbWM faUzQSIjYkrcjXA4l9x4FHX4vc4XSc4s8ALYeRT6+amhIMulLA+hU4POvmUIsFPIWDtIBDU4wZeX LyFuzbqRgCbFZB1isicZF7j0UlOYlxVS/3NDFvVi23ysj8lOQSaocQeJnNsWpxX1hPmba6/FqXGs Nmia0UiNJWj0L5XsLHWnu7rbGtrwoTupHRBjx8Ot041WZQmp5sdoP5mIynd+ZvEJmRTvfpklb7Mh b6fzptqBht6RhrkzXaLlQrolTyHt7fL2+6HYEybAHh2fVhWo5Fa8jE0+QLa01MH7aDmQqQgo4gaQ YKPWxdCAGqREpaHioF+vyKVS7qdpqMvaMQwHZRlH8JneBqFEYB9w0Jl53v7d8bWYNz7LC41aplE8 1Vt5ltdPT1/XtOKSnZqX7gOFX3sPShaXn/85CgGAFTFFnk65ZvCMTEm4kadMY1LYzMElcXY7VZfW 1zvocZXtkurcahUeXYsn6mHcZrzSQRK+IGeAa0+jhNSKhuGezU6b9IASyQIp2kGc0tfd2nIXgHgb bZRefgEgf3HaBpPYJWrZR4MBtAEGBgWouAIDNzCAgzLO/J8os1eHf5qkVWTBu4Wajan6BrYByxXM 39Q9ItZq2RAay/yeS7FtXw8ADw8LFQ8ahIMcy2IJunC5k2P70ZSerEsjU7E6U5f1dq3G71XG2HTh zIu9lGD1IEVoSGe6NUxjaxuvUST9S2zq7qP5RaTJXOWf+H29UXIPZHpCTzCOGEbzqev84xJoPMUG UMJCWJpILOW6UPKYC9LK1pzuAFosId3kc5RdGONC6QshYHxywae9Yf9eL7mPR59z4zzBaaPRd/VD LNHO2XGRfr7lgEXtl3FAzdiRsmlW1BaqF5NuU5h0mBzDD17d+ccqjYiCxC0A5JjbeNIvQXkugfDp q1DbhG6shL4oR+xHOdXYB9KdwEY2QiK5+2TuU2h7VXYAYhb4ky+ZArN2LGpw8fvhGnbbpCrBGANx xAXIZeIxPTjKux3rVXycb1IxEbzXpjk9aBVSDMlja0dn72SrqwVDYsv1kKYQCHrZIIXnqvgxaxh4 Sszvk4CBYlKIJgCBRy3x7bKUFOxG58MSACD4CAm5jZXkfQsyVH9FstlIvCiGxtSRdSicdsaqePgb rE5Bwgjh8vJcK+iznQseSQsdLGy0pAnNnzA2z9BwV29s8O2KcKxDtZTR35DnjVkso5Ldtod+FWnW JiOmq1OQ/su2QxsYZQaXh/u0pxhUlGJb5D3nYVqbwpewM+j0FL/Pe6kO+u7KWC10F4u9JslLJzPv CLmvFthU7eY7khixUIA2U80a6JJYX6jn0y58znY3vwjhs4eUnWeiPfnjOlmZUU6auNLhFCkMQbAh e/QwGkGCq/EET/m538pGKbdxW8m1Zno9tvpJ0i3l0qfHum28ALjt87cti6fuVBNmwHurHnqDKgnG oWZs+E4amm3APGCea3uh5UcGcRRrFk+YPgRY12mMPtAPBAgGYDna4EXLIanc9Dw4jQ/s3s2OSjcf dy5k2gNUaDPhSHoOBavLwHZzGTvcSgMZDxmZMl+4NNZGBeNzfT9d1KQKwnz+VuffXOf4paNf2fA4 7NcpMmGRUJFqQOoUABc2OJqcjVdGPUxsF+JTzxE5QuUiJJt0+ieVDX7f89TS5WK9HDgt3IlXvhT1 iQuwQgSJi41fJVL83oiUDcrWI0rhevxE6mhstkYqLhVE1G0M/75pUUPHcek4qst/ubr+jUDYnkW9 eKBNN+tkgzJx0buw+blVPNmm+mg24PG6BXtSeygmNZqnwlsS0dK2OplCpjHqrrmtFjEISMLFR7m2 vx9u+my44ds+VvbLl3Px6a4zdHienyAPQwG/Iob8GwOMVpRPBBBKBSAbgj36THgkxIuYlt/q/Dul qzVXIrf0jtVn2Z47B5XVYoWjf4et1JK+ST8GW5kRrfu3R+LnXXsy8JJfTR6WBPUER2mCbQcQrY7l xziekR8WP0Nb9YSQ38t8aSrakHW7O8AIuDudofwtd+FyU6htCRDN/5zE7gjsPHZg6h6agn3FoFvj smApT2SbOlzSqP7/xRSHpz5BBNnj2/wGczn1iNWUm1wLpnz1MmoUj3HTWZ1i6qxrwCjOQ7LIV/7Y iGUfnbQ+p1S7jh3B1eCYScDNaZoD8Nf9v5YYUMLNQ+YI2vopImuWmr7whaSYNmSNJbNK1T/O3X8B GKBZcSjMasyy0za0AKhFqckhe7y+LCrA2sqrhFyI18b9qQW8EZsaojwXaoYpCOZSyO9gspi043oV Nbv2WcB/qheC7EVN9TOJ//ptfpyRICXBTJdb77ZUuA3EXEDlKRn3rp/HWbnLAdXqCB5Z7b0Gom13 t2sMJeJxUkK+3Iqak6bgncbu6NyItkx2RrjDZIMxxpMVWsUR3noU6/o2qQhPkz3tHJZOwvi552nQ Lv1pc3AJJWw7Pzy0oH+segrgi5QBrAg+PjSuI1+16SaRXgLptro852IMe8ZSCT+HKsItjtU9V69V uuGIK0oLn18TDsxA7CpGThHER51BapgRD6CRn5i7ZUTWjj0K8BMuLCkxXIOdhVnDWrjwj5IyBKgL CQ6HY3kAWXFeH+2VOn++6+vCylxKKeubB06kKTU2Dk2+8YRz1TVjuSY9Gd+wHYyA2Cf1lIV39IHX A3K2S8sBnvmCMNV/L81jE5Sw0A9M45v6hr+YYowGqOIy5IHyeY4gAmM0ybU9G+bl4mpmd2evLDu7 u41Tr/LpBhiDoDOMRneWSmcax/pXl22qrLNxHsnHOP0cngPkSNY2FP0D0i+e2l2ECeY00qLYfgsq FfCtgTL7/+8XKUDLc8cMt/cmViNROXqyK0SzO/5SaYuHtpS78PItM3jO6XjHMNBNBiTapVvV/Pfp IzisqBtfoAVf/HKIoX1IMUFmnVv/JTBJudKIGG6DgLAZunV8F1LNftNaSuehXG0IeiXsRBWJWbRe 2AXCzqycTRL3bv3iWj7X1AMjCKLxW16a9XOnm8uieAUiCzAxg5vUjeyiDd+hCWM0MGCwET5Jm5H9 thKHSiCdNswziOfhAEairwoiKhrquRSjoq8o7FtktHPDH+BCq70WazHJ+f1GbSQgm3g2BdqyAAZ5 QSv1xz/iiPgEwDk4e6hcxHPiFsaHnzW44jg4F2M+UmThkbg3Y4a4S5Tp+ojNSrPmPP4KdSfeHWvi JSB0Yq6uFlDvmUh/vxdMG2FTDbR2wlyNXZgLgx5P4XejdELF6i74PL/42miLZsANk/Hy5ZROGu34 tYjw+nzB3LCgV+wlk2WMfPjMPyRquOGRDxRZ7AJON1ASxyCks9BK2lg2WnV0WKeWVtKobBC3fQPx RbfvyE8rCR7ivfHXnIljnz9St/H0GPhgmBe3PZDfRHnvUTZJwVWDy6JL9yymBNqVjNhejxjbzbsk fH+9E/fKkGoQy0ugKCj+NXMik0IzbgOMVLBsW6BwfrJyvzKHG4ZnLUfccDJSo+vdo4feWahWIML4 uUBusgDvEhPYqGVa/ksKSHv2MBiuOciapqM5+MLtR40/Gar7V9SfCjf7vpsKZVOJEdu9fEW3Js7B SDW3AktGLGud9ER6UGBpkT4JtUFGBQq1Uz8ZaI5lgLUSmXv8Do9ubK7p/eysfvTIQrwmp4Eq01Dj pMA4tkQ14SQWkD3SkADAbBEo4nmxZCxrtKFlxGfDYyu6l2v2s9wWLiPxzwPgoIu9LhBw9BYAVIzZ 8ErfHWTHG45qLGBMnHgFAtuzonIJ4XmOvbTVW4oWIiodV158NIfwnbJ5a5iPUK7GRxP52XwX6DRx S1qU1xJmOZv1ksIGuj1GAmCvVq3IFOUBEa+OlzyH3eontN6JMuExzB/9YvKbtUXwlcJ8R2OIKI3l OFdDPtRaya2EFz7N7HhRaO9U8lY4ECGxi+nSIeXOauGyTXJWO4djeuif26HNXdE/PU2xJgwcpImJ 8aJevRntBa22eS3yR/s6seX01cUp7VnpYvVyxIw9K3o5sCgyj+pkrCvzMQDb7fNlPaSAO27m5fBL OiqfezuHUtjei3jr0d44vA4tm4WELhAau+cI/+dwrvxGKZG94AouCAQk2b3e53Lyg3+mZloSndaj xmPG3Vq/DFq/wl/dp+vPLF3pSOid7xS/tb4Bf5QF7lXi8PlEj+D6UFpfTx3jNygYYw2ClBs8cTgs pugL1UflhoTYqL9fVbCC+pnenudYoKvwERYQJJI8lNpzruzOYpvER1Y/fiN67SNkD8ibhheDx3s3 iL3dHfkZ7cOtuCHiAFBRniXiAI7LSawTCT5IBtczEVPkRfbFlgAEoPzL7C7AKHhy56UwqmtBMiZA CromPmAykk9jTUXMLBlnaD+/dWsMsRb/D++jER1Xla4McKmPZe09Kbumto4z+AHPPDq9Hslw65Ob k1g7CMrrZWdcs2lZAD+kMjP84wcu2xoeeX8j/kAe2fSRO2rJwxp/PXIEoEBgA6IrJyKy2kRe5GbG dThMzIJmxRocEfCy9OzxXOW5nMfkbqU21XvzM3BGUFkLd72gG34JuTDoIUKHAnSPygQPjOBhwWsX gxK59ZOpmvSLZueUFGsdQGgPaT5JVCSXxF7R4VRJwQqIeYneEXUC38GRNS3VSn0BBKaFrrqE8gjX Am+V0Do/fTQ/Rt752hZPZ0QvC+hGJUQ7ONvmN4+qW5rcXL5kA5HF1YblI4NvdDoZ0aiqviwkk5Vr 5HhzzNZdrHvaUg4dxK/xvED4v5lmq7a7etP2hYBGvPl2d/o7AVSOfbYgKC8sxJQJL0o2iITUHL1s uiFKgmVhpC0ADlOTBupfFPotFP4NbmdMiC3emNhEiRSbcu7t9bK6cU7MssUGvpBhEYmrcItqBTiC 8BbAo6PFyaEsF18t63HdJmoRdlFkVVsaj3jydAzTTf7LOCu4BA7RQnUXPrOHW6V3rb4W94Tf7kH3 kKT4/FwamAAAQcSGlktDzFW1xl2MMcfkdHTS4hZq/OlfHw67abfnJSHoIz17uiXOjy5kdMC71/DK yU7erHjTfhTvsp+ivOf38G3tLPCtAB7elaSBvA4l5TMRx7hjDvXKckOzOLXtdJqJgZV7GzhLvPBl PJjEtMTK7APEOGDqTa+XfxsykYRYVRns3jnPYh5p40RZcjeh167aRsf3GzmgDhgjZq02aLLQOGj8 UbHrMCN+a8xgIUn5WSxmpCPRZ4+Bi6yEfNiyMJZKVn0oMtNkJX4iD73RiM4bIb3TL4ZCTxv7L1Fb eMHj3xfoCa+cYljZqJdSEbn95D5Zgif5TtzqOI3yORuuifFBg7/t2b1431ghvx3/RVoSOGdH/F7i KM4XFqV5xvR4qQPBImeCABWpiINyEjpk17ktTkJLNcIuVhP7NR0hTvDX6wp3gn9x9UV+5XUHKUtl TkcajswxGDv+C2hMkumQapibDjQiFJnJwfTrI3TwydAW4OLrzU49FD+kagdOL6M8RPPhAOvVEPSX CtIuSeUMDsSQegwYvk2ZCaogKkI+DIqzUZw7+YxDsJvS+w0huOZHt07sjQ72AUkl3zdYpOf7K4l+ tFmmbEd9XQd1I7cMOa2J7MT3/4Vi85Zj+YFsqIdr/3zHoMJ0v/j2HAMQJwXPXgMjE13dvHuInAq+ vaAYlyZ+aiA1X5BJ7oaOq9R6I1oyMm3bMU8sbdIQ1A8tlJA+i4TxjFsrSiLre1qwPfqGAY0ktGCh u46Duf5RZcsqBTGuvplOsXwcQMVYLAZoKFoVd8cRlqXIyuPO71J1Dt/sM5ZzsvOuC9ubeF+M7NX5 aqbXhfhAUBjWGm25afkYT+lDrCud7NGNrfLHCjUC3EEW1E49tJKuR2AlY3Ldq4OkvBvh4gG6ZTQk QdwWY4bxltLqmNmrRR8lnO4IEiltQ6PnV9bUhA74DfOBME5tzCRETJktHloLCdaUOfEeIIIT+UYC k7C2k7lOEMxsPmWNgdtFQAvb7jJhoPoHOKlegXeCiALlfUvseWekpJ3vGaUboiSScvxS31fUICSN J4SR/uBt+ydmKf86O5lt7Qd/ZNslWy3xCoOMciFLmZQZxZt52dV2ArMrirAQ2I0wRgQ5Z9/gbwbx bXCFhw0puCRrBx++VOmPMaM7GsYRGxo0vd2sdfwhB3Wmpn3qNI3307DlJVohbGjTBGDm1/rWgVci J+cKCwYNuigbXb1141W2rDBBU9Kn8a5mamOUA7GXcKQq0QFBxHtmxoayhycvn1FYR8vx4woGOHwB 2i4ElbJBjgsOttI= `protect end_protected
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim.ip_user_files/bd/design_1/ip/design_1_HBsteep_0/sim/design_1_HBsteep_0.vhd
2
10407
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:ip:fir_compiler:7.2 -- IP Revision: 6 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY fir_compiler_v7_2_6; USE fir_compiler_v7_2_6.fir_compiler_v7_2_6; ENTITY design_1_HBsteep_0 IS PORT ( aclk : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0) ); END design_1_HBsteep_0; ARCHITECTURE design_1_HBsteep_0_arch OF design_1_HBsteep_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF design_1_HBsteep_0_arch: ARCHITECTURE IS "yes"; COMPONENT fir_compiler_v7_2_6 IS GENERIC ( C_XDEVICEFAMILY : STRING; C_ELABORATION_DIR : STRING; C_COMPONENT_NAME : STRING; C_COEF_FILE : STRING; C_COEF_FILE_LINES : INTEGER; C_FILTER_TYPE : INTEGER; C_INTERP_RATE : INTEGER; C_DECIM_RATE : INTEGER; C_ZERO_PACKING_FACTOR : INTEGER; C_SYMMETRY : INTEGER; C_NUM_FILTS : INTEGER; C_NUM_TAPS : INTEGER; C_NUM_CHANNELS : INTEGER; C_CHANNEL_PATTERN : STRING; C_ROUND_MODE : INTEGER; C_COEF_RELOAD : INTEGER; C_NUM_RELOAD_SLOTS : INTEGER; C_COL_MODE : INTEGER; C_COL_PIPE_LEN : INTEGER; C_COL_CONFIG : STRING; C_OPTIMIZATION : INTEGER; C_DATA_PATH_WIDTHS : STRING; C_DATA_IP_PATH_WIDTHS : STRING; C_DATA_PX_PATH_WIDTHS : STRING; C_DATA_WIDTH : INTEGER; C_COEF_PATH_WIDTHS : STRING; C_COEF_WIDTH : INTEGER; C_DATA_PATH_SRC : STRING; C_COEF_PATH_SRC : STRING; C_PX_PATH_SRC : STRING; C_DATA_PATH_SIGN : STRING; C_COEF_PATH_SIGN : STRING; C_ACCUM_PATH_WIDTHS : STRING; C_OUTPUT_WIDTH : INTEGER; C_OUTPUT_PATH_WIDTHS : STRING; C_ACCUM_OP_PATH_WIDTHS : STRING; C_EXT_MULT_CNFG : STRING; C_DATA_PATH_PSAMP_SRC : STRING; C_OP_PATH_PSAMP_SRC : STRING; C_NUM_MADDS : INTEGER; C_OPT_MADDS : STRING; C_OVERSAMPLING_RATE : INTEGER; C_INPUT_RATE : INTEGER; C_OUTPUT_RATE : INTEGER; C_DATA_MEMTYPE : INTEGER; C_COEF_MEMTYPE : INTEGER; C_IPBUFF_MEMTYPE : INTEGER; C_OPBUFF_MEMTYPE : INTEGER; C_DATAPATH_MEMTYPE : INTEGER; C_MEM_ARRANGEMENT : INTEGER; C_DATA_MEM_PACKING : INTEGER; C_COEF_MEM_PACKING : INTEGER; C_FILTS_PACKED : INTEGER; C_LATENCY : INTEGER; C_HAS_ARESETn : INTEGER; C_HAS_ACLKEN : INTEGER; C_DATA_HAS_TLAST : INTEGER; C_S_DATA_HAS_FIFO : INTEGER; C_S_DATA_HAS_TUSER : INTEGER; C_S_DATA_TDATA_WIDTH : INTEGER; C_S_DATA_TUSER_WIDTH : INTEGER; C_M_DATA_HAS_TREADY : INTEGER; C_M_DATA_HAS_TUSER : INTEGER; C_M_DATA_TDATA_WIDTH : INTEGER; C_M_DATA_TUSER_WIDTH : INTEGER; C_HAS_CONFIG_CHANNEL : INTEGER; C_CONFIG_SYNC_MODE : INTEGER; C_CONFIG_PACKET_SIZE : INTEGER; C_CONFIG_TDATA_WIDTH : INTEGER; C_RELOAD_TDATA_WIDTH : INTEGER ); PORT ( aresetn : IN STD_LOGIC; aclk : IN STD_LOGIC; aclken : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tlast : IN STD_LOGIC; s_axis_data_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); s_axis_config_tvalid : IN STD_LOGIC; s_axis_config_tready : OUT STD_LOGIC; s_axis_config_tlast : IN STD_LOGIC; s_axis_config_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_reload_tvalid : IN STD_LOGIC; s_axis_reload_tready : OUT STD_LOGIC; s_axis_reload_tlast : IN STD_LOGIC; s_axis_reload_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tready : IN STD_LOGIC; m_axis_data_tlast : OUT STD_LOGIC; m_axis_data_tuser : OUT STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0); event_s_data_tlast_missing : OUT STD_LOGIC; event_s_data_tlast_unexpected : OUT STD_LOGIC; event_s_data_chanid_incorrect : OUT STD_LOGIC; event_s_config_tlast_missing : OUT STD_LOGIC; event_s_config_tlast_unexpected : OUT STD_LOGIC; event_s_reload_tlast_missing : OUT STD_LOGIC; event_s_reload_tlast_unexpected : OUT STD_LOGIC ); END COMPONENT fir_compiler_v7_2_6; ATTRIBUTE X_INTERFACE_INFO : STRING; ATTRIBUTE X_INTERFACE_INFO OF aclk: SIGNAL IS "xilinx.com:signal:clock:1.0 aclk_intf CLK"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tready: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TREADY"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TDATA"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TDATA"; BEGIN U0 : fir_compiler_v7_2_6 GENERIC MAP ( C_XDEVICEFAMILY => "zynq", C_ELABORATION_DIR => "./", C_COMPONENT_NAME => "design_1_HBsteep_0", C_COEF_FILE => "design_1_HBsteep_0.mif", C_COEF_FILE_LINES => 43, C_FILTER_TYPE => 7, C_INTERP_RATE => 1, C_DECIM_RATE => 2, C_ZERO_PACKING_FACTOR => 1, C_SYMMETRY => 1, C_NUM_FILTS => 1, C_NUM_TAPS => 167, C_NUM_CHANNELS => 1, C_CHANNEL_PATTERN => "fixed", C_ROUND_MODE => 1, C_COEF_RELOAD => 0, C_NUM_RELOAD_SLOTS => 1, C_COL_MODE => 1, C_COL_PIPE_LEN => 4, C_COL_CONFIG => "1", C_OPTIMIZATION => 0, C_DATA_PATH_WIDTHS => "24", C_DATA_IP_PATH_WIDTHS => "24", C_DATA_PX_PATH_WIDTHS => "24", C_DATA_WIDTH => 24, C_COEF_PATH_WIDTHS => "16", C_COEF_WIDTH => 16, C_DATA_PATH_SRC => "0", C_COEF_PATH_SRC => "0", C_PX_PATH_SRC => "0", C_DATA_PATH_SIGN => "0", C_COEF_PATH_SIGN => "0", C_ACCUM_PATH_WIDTHS => "41", C_OUTPUT_WIDTH => 32, C_OUTPUT_PATH_WIDTHS => "32", C_ACCUM_OP_PATH_WIDTHS => "41", C_EXT_MULT_CNFG => "none", C_DATA_PATH_PSAMP_SRC => "0", C_OP_PATH_PSAMP_SRC => "0", C_NUM_MADDS => 1, C_OPT_MADDS => "none", C_OVERSAMPLING_RATE => 43, C_INPUT_RATE => 250, C_OUTPUT_RATE => 500, C_DATA_MEMTYPE => 0, C_COEF_MEMTYPE => 2, C_IPBUFF_MEMTYPE => 2, C_OPBUFF_MEMTYPE => 0, C_DATAPATH_MEMTYPE => 2, C_MEM_ARRANGEMENT => 1, C_DATA_MEM_PACKING => 0, C_COEF_MEM_PACKING => 0, C_FILTS_PACKED => 0, C_LATENCY => 510, C_HAS_ARESETn => 0, C_HAS_ACLKEN => 0, C_DATA_HAS_TLAST => 0, C_S_DATA_HAS_FIFO => 1, C_S_DATA_HAS_TUSER => 0, C_S_DATA_TDATA_WIDTH => 24, C_S_DATA_TUSER_WIDTH => 1, C_M_DATA_HAS_TREADY => 0, C_M_DATA_HAS_TUSER => 0, C_M_DATA_TDATA_WIDTH => 32, C_M_DATA_TUSER_WIDTH => 1, C_HAS_CONFIG_CHANNEL => 0, C_CONFIG_SYNC_MODE => 0, C_CONFIG_PACKET_SIZE => 0, C_CONFIG_TDATA_WIDTH => 1, C_RELOAD_TDATA_WIDTH => 1 ) PORT MAP ( aresetn => '1', aclk => aclk, aclken => '1', s_axis_data_tvalid => s_axis_data_tvalid, s_axis_data_tready => s_axis_data_tready, s_axis_data_tlast => '0', s_axis_data_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_data_tdata => s_axis_data_tdata, s_axis_config_tvalid => '0', s_axis_config_tlast => '0', s_axis_config_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_reload_tvalid => '0', s_axis_reload_tlast => '0', s_axis_reload_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), m_axis_data_tvalid => m_axis_data_tvalid, m_axis_data_tready => '1', m_axis_data_tdata => m_axis_data_tdata ); END design_1_HBsteep_0_arch;
mit
witchard/sock.sv
demo/adder.vhd
1
847
library ieee; use ieee.std_logic_1164.all; use ieee.numeric_std.all; entity adder is generic ( width : positive := 1); port ( clk : in std_ulogic; reset : in std_ulogic; a : in std_ulogic_vector(width-1 downto 0); b : in std_ulogic_vector(width-1 downto 0); c : out std_ulogic_vector(width downto 0)); end adder; architecture rtl of adder is begin -- rtl -- purpose: Add the values -- type : sequential -- inputs : clk, reset, a, b -- outputs: c add: process (clk, reset) begin -- process add if reset = '1' then -- asynchronous reset (active high) c <= (others => '0'); elsif clk'event and clk = '1' then -- rising clock edge c <= std_ulogic_vector( unsigned('0' & a) + unsigned('0' & b) ); end if; end process add; end rtl;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_Mux4x1_8_0_0/synth/RAT_Mux4x1_8_0_0.vhd
2
3970
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:module_ref:Mux4x1_8:1.0 -- IP Revision: 1 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; ENTITY RAT_Mux4x1_8_0_0 IS PORT ( A : IN STD_LOGIC_VECTOR(7 DOWNTO 0); B : IN STD_LOGIC_VECTOR(7 DOWNTO 0); C : IN STD_LOGIC_VECTOR(7 DOWNTO 0); D : IN STD_LOGIC_VECTOR(7 DOWNTO 0); SEL : IN STD_LOGIC_VECTOR(1 DOWNTO 0); X : OUT STD_LOGIC_VECTOR(7 DOWNTO 0) ); END RAT_Mux4x1_8_0_0; ARCHITECTURE RAT_Mux4x1_8_0_0_arch OF RAT_Mux4x1_8_0_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF RAT_Mux4x1_8_0_0_arch: ARCHITECTURE IS "yes"; COMPONENT Mux4x1_8 IS PORT ( A : IN STD_LOGIC_VECTOR(7 DOWNTO 0); B : IN STD_LOGIC_VECTOR(7 DOWNTO 0); C : IN STD_LOGIC_VECTOR(7 DOWNTO 0); D : IN STD_LOGIC_VECTOR(7 DOWNTO 0); SEL : IN STD_LOGIC_VECTOR(1 DOWNTO 0); X : OUT STD_LOGIC_VECTOR(7 DOWNTO 0) ); END COMPONENT Mux4x1_8; ATTRIBUTE X_CORE_INFO : STRING; ATTRIBUTE X_CORE_INFO OF RAT_Mux4x1_8_0_0_arch: ARCHITECTURE IS "Mux4x1_8,Vivado 2016.4"; ATTRIBUTE CHECK_LICENSE_TYPE : STRING; ATTRIBUTE CHECK_LICENSE_TYPE OF RAT_Mux4x1_8_0_0_arch : ARCHITECTURE IS "RAT_Mux4x1_8_0_0,Mux4x1_8,{}"; ATTRIBUTE CORE_GENERATION_INFO : STRING; ATTRIBUTE CORE_GENERATION_INFO OF RAT_Mux4x1_8_0_0_arch: ARCHITECTURE IS "RAT_Mux4x1_8_0_0,Mux4x1_8,{x_ipProduct=Vivado 2016.4,x_ipVendor=xilinx.com,x_ipLibrary=module_ref,x_ipName=Mux4x1_8,x_ipVersion=1.0,x_ipCoreRevision=1,x_ipLanguage=VHDL,x_ipSimLanguage=MIXED}"; BEGIN U0 : Mux4x1_8 PORT MAP ( A => A, B => B, C => C, D => D, SEL => SEL, X => X ); END RAT_Mux4x1_8_0_0_arch;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_Decrementer_0_0/RAT_Decrementer_0_0_sim_netlist.vhdl
1
4357
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved. -- -------------------------------------------------------------------------------- -- Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017 -- Date : Fri Oct 27 10:20:39 2017 -- Host : Juice-Laptop running 64-bit major release (build 9200) -- Command : write_vhdl -force -mode funcsim -- c:/RATCPU/Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_Decrementer_0_0/RAT_Decrementer_0_0_sim_netlist.vhdl -- Design : RAT_Decrementer_0_0 -- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or -- synthesized. This netlist cannot be used for SDF annotated simulation. -- Device : xc7a35tcpg236-1 -- -------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; library UNISIM; use UNISIM.VCOMPONENTS.ALL; entity RAT_Decrementer_0_0_Decrementer is port ( O : out STD_LOGIC_VECTOR ( 2 downto 0 ); I : in STD_LOGIC_VECTOR ( 7 downto 0 ) ); attribute ORIG_REF_NAME : string; attribute ORIG_REF_NAME of RAT_Decrementer_0_0_Decrementer : entity is "Decrementer"; end RAT_Decrementer_0_0_Decrementer; architecture STRUCTURE of RAT_Decrementer_0_0_Decrementer is signal \O[7]_INST_0_i_1_n_0\ : STD_LOGIC; attribute SOFT_HLUTNM : string; attribute SOFT_HLUTNM of \O[6]_INST_0\ : label is "soft_lutpair0"; attribute SOFT_HLUTNM of \O[7]_INST_0\ : label is "soft_lutpair0"; begin \O[0]_INST_0\: unisim.vcomponents.LUT1 generic map( INIT => X"1" ) port map ( I0 => I(0), O => O(0) ); \O[6]_INST_0\: unisim.vcomponents.LUT2 generic map( INIT => X"9" ) port map ( I0 => \O[7]_INST_0_i_1_n_0\, I1 => I(6), O => O(1) ); \O[7]_INST_0\: unisim.vcomponents.LUT3 generic map( INIT => X"E1" ) port map ( I0 => I(6), I1 => \O[7]_INST_0_i_1_n_0\, I2 => I(7), O => O(2) ); \O[7]_INST_0_i_1\: unisim.vcomponents.LUT6 generic map( INIT => X"FFFFFFFFFFFFFFFE" ) port map ( I0 => I(4), I1 => I(2), I2 => I(0), I3 => I(1), I4 => I(3), I5 => I(5), O => \O[7]_INST_0_i_1_n_0\ ); end STRUCTURE; library IEEE; use IEEE.STD_LOGIC_1164.ALL; library UNISIM; use UNISIM.VCOMPONENTS.ALL; entity RAT_Decrementer_0_0 is port ( I : in STD_LOGIC_VECTOR ( 7 downto 0 ); O : out STD_LOGIC_VECTOR ( 7 downto 0 ) ); attribute NotValidForBitStream : boolean; attribute NotValidForBitStream of RAT_Decrementer_0_0 : entity is true; attribute CHECK_LICENSE_TYPE : string; attribute CHECK_LICENSE_TYPE of RAT_Decrementer_0_0 : entity is "RAT_Decrementer_0_0,Decrementer,{}"; attribute downgradeipidentifiedwarnings : string; attribute downgradeipidentifiedwarnings of RAT_Decrementer_0_0 : entity is "yes"; attribute x_core_info : string; attribute x_core_info of RAT_Decrementer_0_0 : entity is "Decrementer,Vivado 2016.4"; end RAT_Decrementer_0_0; architecture STRUCTURE of RAT_Decrementer_0_0 is begin \O[1]_INST_0\: unisim.vcomponents.LUT2 generic map( INIT => X"9" ) port map ( I0 => I(0), I1 => I(1), O => O(1) ); \O[2]_INST_0\: unisim.vcomponents.LUT3 generic map( INIT => X"E1" ) port map ( I0 => I(1), I1 => I(0), I2 => I(2), O => O(2) ); \O[3]_INST_0\: unisim.vcomponents.LUT4 generic map( INIT => X"FE01" ) port map ( I0 => I(2), I1 => I(0), I2 => I(1), I3 => I(3), O => O(3) ); \O[4]_INST_0\: unisim.vcomponents.LUT5 generic map( INIT => X"FFFE0001" ) port map ( I0 => I(3), I1 => I(1), I2 => I(0), I3 => I(2), I4 => I(4), O => O(4) ); \O[5]_INST_0\: unisim.vcomponents.LUT6 generic map( INIT => X"FFFFFFFE00000001" ) port map ( I0 => I(4), I1 => I(2), I2 => I(0), I3 => I(1), I4 => I(3), I5 => I(5), O => O(5) ); U0: entity work.RAT_Decrementer_0_0_Decrementer port map ( I(7 downto 0) => I(7 downto 0), O(2 downto 1) => O(7 downto 6), O(0) => O(0) ); end STRUCTURE;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim.srcs/sources_1/bd/design_1/ip/design_1_FIR_resized_0/sim/design_1_FIR_resized_0.vhd
4
10432
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:ip:fir_compiler:7.2 -- IP Revision: 6 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY fir_compiler_v7_2_6; USE fir_compiler_v7_2_6.fir_compiler_v7_2_6; ENTITY design_1_FIR_resized_0 IS PORT ( aclk : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0) ); END design_1_FIR_resized_0; ARCHITECTURE design_1_FIR_resized_0_arch OF design_1_FIR_resized_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF design_1_FIR_resized_0_arch: ARCHITECTURE IS "yes"; COMPONENT fir_compiler_v7_2_6 IS GENERIC ( C_XDEVICEFAMILY : STRING; C_ELABORATION_DIR : STRING; C_COMPONENT_NAME : STRING; C_COEF_FILE : STRING; C_COEF_FILE_LINES : INTEGER; C_FILTER_TYPE : INTEGER; C_INTERP_RATE : INTEGER; C_DECIM_RATE : INTEGER; C_ZERO_PACKING_FACTOR : INTEGER; C_SYMMETRY : INTEGER; C_NUM_FILTS : INTEGER; C_NUM_TAPS : INTEGER; C_NUM_CHANNELS : INTEGER; C_CHANNEL_PATTERN : STRING; C_ROUND_MODE : INTEGER; C_COEF_RELOAD : INTEGER; C_NUM_RELOAD_SLOTS : INTEGER; C_COL_MODE : INTEGER; C_COL_PIPE_LEN : INTEGER; C_COL_CONFIG : STRING; C_OPTIMIZATION : INTEGER; C_DATA_PATH_WIDTHS : STRING; C_DATA_IP_PATH_WIDTHS : STRING; C_DATA_PX_PATH_WIDTHS : STRING; C_DATA_WIDTH : INTEGER; C_COEF_PATH_WIDTHS : STRING; C_COEF_WIDTH : INTEGER; C_DATA_PATH_SRC : STRING; C_COEF_PATH_SRC : STRING; C_PX_PATH_SRC : STRING; C_DATA_PATH_SIGN : STRING; C_COEF_PATH_SIGN : STRING; C_ACCUM_PATH_WIDTHS : STRING; C_OUTPUT_WIDTH : INTEGER; C_OUTPUT_PATH_WIDTHS : STRING; C_ACCUM_OP_PATH_WIDTHS : STRING; C_EXT_MULT_CNFG : STRING; C_DATA_PATH_PSAMP_SRC : STRING; C_OP_PATH_PSAMP_SRC : STRING; C_NUM_MADDS : INTEGER; C_OPT_MADDS : STRING; C_OVERSAMPLING_RATE : INTEGER; C_INPUT_RATE : INTEGER; C_OUTPUT_RATE : INTEGER; C_DATA_MEMTYPE : INTEGER; C_COEF_MEMTYPE : INTEGER; C_IPBUFF_MEMTYPE : INTEGER; C_OPBUFF_MEMTYPE : INTEGER; C_DATAPATH_MEMTYPE : INTEGER; C_MEM_ARRANGEMENT : INTEGER; C_DATA_MEM_PACKING : INTEGER; C_COEF_MEM_PACKING : INTEGER; C_FILTS_PACKED : INTEGER; C_LATENCY : INTEGER; C_HAS_ARESETn : INTEGER; C_HAS_ACLKEN : INTEGER; C_DATA_HAS_TLAST : INTEGER; C_S_DATA_HAS_FIFO : INTEGER; C_S_DATA_HAS_TUSER : INTEGER; C_S_DATA_TDATA_WIDTH : INTEGER; C_S_DATA_TUSER_WIDTH : INTEGER; C_M_DATA_HAS_TREADY : INTEGER; C_M_DATA_HAS_TUSER : INTEGER; C_M_DATA_TDATA_WIDTH : INTEGER; C_M_DATA_TUSER_WIDTH : INTEGER; C_HAS_CONFIG_CHANNEL : INTEGER; C_CONFIG_SYNC_MODE : INTEGER; C_CONFIG_PACKET_SIZE : INTEGER; C_CONFIG_TDATA_WIDTH : INTEGER; C_RELOAD_TDATA_WIDTH : INTEGER ); PORT ( aresetn : IN STD_LOGIC; aclk : IN STD_LOGIC; aclken : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tlast : IN STD_LOGIC; s_axis_data_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); s_axis_config_tvalid : IN STD_LOGIC; s_axis_config_tready : OUT STD_LOGIC; s_axis_config_tlast : IN STD_LOGIC; s_axis_config_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_reload_tvalid : IN STD_LOGIC; s_axis_reload_tready : OUT STD_LOGIC; s_axis_reload_tlast : IN STD_LOGIC; s_axis_reload_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tready : IN STD_LOGIC; m_axis_data_tlast : OUT STD_LOGIC; m_axis_data_tuser : OUT STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0); event_s_data_tlast_missing : OUT STD_LOGIC; event_s_data_tlast_unexpected : OUT STD_LOGIC; event_s_data_chanid_incorrect : OUT STD_LOGIC; event_s_config_tlast_missing : OUT STD_LOGIC; event_s_config_tlast_unexpected : OUT STD_LOGIC; event_s_reload_tlast_missing : OUT STD_LOGIC; event_s_reload_tlast_unexpected : OUT STD_LOGIC ); END COMPONENT fir_compiler_v7_2_6; ATTRIBUTE X_INTERFACE_INFO : STRING; ATTRIBUTE X_INTERFACE_INFO OF aclk: SIGNAL IS "xilinx.com:signal:clock:1.0 aclk_intf CLK"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tready: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TREADY"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TDATA"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TDATA"; BEGIN U0 : fir_compiler_v7_2_6 GENERIC MAP ( C_XDEVICEFAMILY => "zynq", C_ELABORATION_DIR => "./", C_COMPONENT_NAME => "design_1_FIR_resized_0", C_COEF_FILE => "design_1_FIR_resized_0.mif", C_COEF_FILE_LINES => 35, C_FILTER_TYPE => 1, C_INTERP_RATE => 1, C_DECIM_RATE => 5, C_ZERO_PACKING_FACTOR => 1, C_SYMMETRY => 1, C_NUM_FILTS => 1, C_NUM_TAPS => 62, C_NUM_CHANNELS => 1, C_CHANNEL_PATTERN => "fixed", C_ROUND_MODE => 1, C_COEF_RELOAD => 0, C_NUM_RELOAD_SLOTS => 1, C_COL_MODE => 1, C_COL_PIPE_LEN => 4, C_COL_CONFIG => "7", C_OPTIMIZATION => 0, C_DATA_PATH_WIDTHS => "24", C_DATA_IP_PATH_WIDTHS => "24", C_DATA_PX_PATH_WIDTHS => "24", C_DATA_WIDTH => 24, C_COEF_PATH_WIDTHS => "16", C_COEF_WIDTH => 16, C_DATA_PATH_SRC => "0", C_COEF_PATH_SRC => "0", C_PX_PATH_SRC => "0", C_DATA_PATH_SIGN => "0", C_COEF_PATH_SIGN => "0", C_ACCUM_PATH_WIDTHS => "42", C_OUTPUT_WIDTH => 32, C_OUTPUT_PATH_WIDTHS => "32", C_ACCUM_OP_PATH_WIDTHS => "42", C_EXT_MULT_CNFG => "none", C_DATA_PATH_PSAMP_SRC => "0", C_OP_PATH_PSAMP_SRC => "0", C_NUM_MADDS => 7, C_OPT_MADDS => "none", C_OVERSAMPLING_RATE => 1, C_INPUT_RATE => 1, C_OUTPUT_RATE => 5, C_DATA_MEMTYPE => 0, C_COEF_MEMTYPE => 2, C_IPBUFF_MEMTYPE => 2, C_OPBUFF_MEMTYPE => 0, C_DATAPATH_MEMTYPE => 2, C_MEM_ARRANGEMENT => 1, C_DATA_MEM_PACKING => 0, C_COEF_MEM_PACKING => 0, C_FILTS_PACKED => 0, C_LATENCY => 14, C_HAS_ARESETn => 0, C_HAS_ACLKEN => 0, C_DATA_HAS_TLAST => 0, C_S_DATA_HAS_FIFO => 1, C_S_DATA_HAS_TUSER => 0, C_S_DATA_TDATA_WIDTH => 24, C_S_DATA_TUSER_WIDTH => 1, C_M_DATA_HAS_TREADY => 0, C_M_DATA_HAS_TUSER => 0, C_M_DATA_TDATA_WIDTH => 32, C_M_DATA_TUSER_WIDTH => 1, C_HAS_CONFIG_CHANNEL => 0, C_CONFIG_SYNC_MODE => 0, C_CONFIG_PACKET_SIZE => 0, C_CONFIG_TDATA_WIDTH => 1, C_RELOAD_TDATA_WIDTH => 1 ) PORT MAP ( aresetn => '1', aclk => aclk, aclken => '1', s_axis_data_tvalid => s_axis_data_tvalid, s_axis_data_tready => s_axis_data_tready, s_axis_data_tlast => '0', s_axis_data_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_data_tdata => s_axis_data_tdata, s_axis_config_tvalid => '0', s_axis_config_tlast => '0', s_axis_config_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_reload_tvalid => '0', s_axis_reload_tlast => '0', s_axis_reload_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), m_axis_data_tvalid => m_axis_data_tvalid, m_axis_data_tready => '1', m_axis_data_tdata => m_axis_data_tdata ); END design_1_FIR_resized_0_arch;
mit
MiddleMan5/233
Experiments/IP_Repo/Program Counter/src/Program_Counter_Mux4x1_0_1.vhd
2
3724
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: CPE233:F17:Mux4x1:1.0 -- IP Revision: 2 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; ENTITY Program_Counter_Mux4x1_0_1 IS PORT ( A : IN STD_LOGIC_VECTOR(9 DOWNTO 0); B : IN STD_LOGIC_VECTOR(9 DOWNTO 0); C : IN STD_LOGIC_VECTOR(9 DOWNTO 0); D : IN STD_LOGIC_VECTOR(9 DOWNTO 0); SEL : IN STD_LOGIC_VECTOR(1 DOWNTO 0); X : OUT STD_LOGIC_VECTOR(9 DOWNTO 0) ); END Program_Counter_Mux4x1_0_1; ARCHITECTURE Program_Counter_Mux4x1_0_1_arch OF Program_Counter_Mux4x1_0_1 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF Program_Counter_Mux4x1_0_1_arch: ARCHITECTURE IS "yes"; COMPONENT Mux4x1 IS PORT ( A : IN STD_LOGIC_VECTOR(9 DOWNTO 0); B : IN STD_LOGIC_VECTOR(9 DOWNTO 0); C : IN STD_LOGIC_VECTOR(9 DOWNTO 0); D : IN STD_LOGIC_VECTOR(9 DOWNTO 0); SEL : IN STD_LOGIC_VECTOR(1 DOWNTO 0); X : OUT STD_LOGIC_VECTOR(9 DOWNTO 0) ); END COMPONENT Mux4x1; ATTRIBUTE X_CORE_INFO : STRING; ATTRIBUTE X_CORE_INFO OF Program_Counter_Mux4x1_0_1_arch: ARCHITECTURE IS "Mux4x1,Vivado 2016.4"; ATTRIBUTE CHECK_LICENSE_TYPE : STRING; ATTRIBUTE CHECK_LICENSE_TYPE OF Program_Counter_Mux4x1_0_1_arch : ARCHITECTURE IS "Program_Counter_Mux4x1_0_1,Mux4x1,{}"; BEGIN U0 : Mux4x1 PORT MAP ( A => A, B => B, C => C, D => D, SEL => SEL, X => X ); END Program_Counter_Mux4x1_0_1_arch;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_xlslice_0_0/synth/RAT_xlslice_0_0.vhd
2
3808
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:ip:xlslice:1.0 -- IP Revision: 0 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY work; USE work.xlslice; ENTITY RAT_xlslice_0_0 IS PORT ( Din : IN STD_LOGIC_VECTOR(17 DOWNTO 0); Dout : OUT STD_LOGIC_VECTOR(9 DOWNTO 0) ); END RAT_xlslice_0_0; ARCHITECTURE RAT_xlslice_0_0_arch OF RAT_xlslice_0_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF RAT_xlslice_0_0_arch: ARCHITECTURE IS "yes"; COMPONENT xlslice IS GENERIC ( DIN_WIDTH : INTEGER; DIN_FROM : INTEGER; DIN_TO : INTEGER ); PORT ( Din : IN STD_LOGIC_VECTOR(17 DOWNTO 0); Dout : OUT STD_LOGIC_VECTOR(9 DOWNTO 0) ); END COMPONENT xlslice; ATTRIBUTE X_CORE_INFO : STRING; ATTRIBUTE X_CORE_INFO OF RAT_xlslice_0_0_arch: ARCHITECTURE IS "xlslice,Vivado 2016.4"; ATTRIBUTE CHECK_LICENSE_TYPE : STRING; ATTRIBUTE CHECK_LICENSE_TYPE OF RAT_xlslice_0_0_arch : ARCHITECTURE IS "RAT_xlslice_0_0,xlslice,{}"; ATTRIBUTE CORE_GENERATION_INFO : STRING; ATTRIBUTE CORE_GENERATION_INFO OF RAT_xlslice_0_0_arch: ARCHITECTURE IS "RAT_xlslice_0_0,xlslice,{x_ipProduct=Vivado 2016.4,x_ipVendor=xilinx.com,x_ipLibrary=ip,x_ipName=xlslice,x_ipVersion=1.0,x_ipCoreRevision=0,x_ipLanguage=VHDL,x_ipSimLanguage=MIXED,DIN_WIDTH=18,DIN_FROM=12,DIN_TO=3}"; BEGIN U0 : xlslice GENERIC MAP ( DIN_WIDTH => 18, DIN_FROM => 12, DIN_TO => 3 ) PORT MAP ( Din => Din, Dout => Dout ); END RAT_xlslice_0_0_arch;
mit
MiddleMan5/233
Experiments/IP_Repo/Mux4x1/IP/src/Mux4x1.vhd
3
1217
---------------------------------------------------------------------------------- -- Company: -- Engineer: Justin Nguyen -- -- Create Date: 11:24:03 09/18/2017 -- Design Name: -- Module Name: Mux4x1 -- Project Name: -- Target Devices: -- Tool versions: -- Description: This is a generic 4x1 10 bit mux with 2 bit select. -- -- Dependencies: -- -- Revision: -- Revision 0.01 - File Created -- Additional Comments: -- -------------------------------------------------------------------------------- ----------------------------------------------------------------------- ----------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; entity Mux4x1 is Port ( A : in STD_LOGIC_VECTOR (9 downto 0); B : in STD_LOGIC_VECTOR (9 downto 0); C : in STD_LOGIC_VECTOR (9 downto 0); D : in STD_LOGIC_VECTOR (9 downto 0); SEL : in STD_LOGIC_VECTOR (1 downto 0); X : out STD_LOGIC_VECTOR (9 downto 0)); end Mux4x1; architecture Behavioral of Mux4x1 is begin with SEL select X <= A when "00", B when "01", C when "10", D when "11", A when others; end Behavioral;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_ControlUnit_0_0/RAT_ControlUnit_0_0_sim_netlist.vhdl
1
27758
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved. -- -------------------------------------------------------------------------------- -- Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017 -- Date : Fri Oct 27 14:51:10 2017 -- Host : Juice-Laptop running 64-bit major release (build 9200) -- Command : write_vhdl -force -mode funcsim -- C:/RATCPU/Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_ControlUnit_0_0/RAT_ControlUnit_0_0_sim_netlist.vhdl -- Design : RAT_ControlUnit_0_0 -- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or -- synthesized. This netlist cannot be used for SDF annotated simulation. -- Device : xc7a35tcpg236-1 -- -------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; library UNISIM; use UNISIM.VCOMPONENTS.ALL; entity RAT_ControlUnit_0_0_ControlUnit is port ( I_FLAG_CLR : out STD_LOGIC; PC_MUX_SEL : out STD_LOGIC_VECTOR ( 1 downto 0 ); ALU_SEL : out STD_LOGIC_VECTOR ( 3 downto 0 ); SCR_ADDR_SEL : out STD_LOGIC_VECTOR ( 1 downto 0 ); SP_LD : out STD_LOGIC; PC_LD : out STD_LOGIC; I_FLAG_SET : out STD_LOGIC; C_FLAG_CLR : out STD_LOGIC; PC_INC : out STD_LOGIC; SCR_WR : out STD_LOGIC; C_FLAG_SET : out STD_LOGIC; RF_WR : out STD_LOGIC; IO_OE : out STD_LOGIC; ALU_OPY_SEL : out STD_LOGIC; C_FLAG_LD : out STD_LOGIC; RF_WR_SEL : out STD_LOGIC_VECTOR ( 1 downto 0 ); Z_FLAG_LD : out STD_LOGIC; SP_RESET : out STD_LOGIC; \OPCODE_HI_5_4__s_port_]\ : in STD_LOGIC; OPCODE_HI_5 : in STD_LOGIC_VECTOR ( 4 downto 0 ); \OPCODE_HI_5_0__s_port_\ : in STD_LOGIC; \OPCODE_HI_5_2__s_port_\ : in STD_LOGIC; \OPCODE_LO_2[1]\ : in STD_LOGIC; \OPCODE_HI_5[4]_0\ : in STD_LOGIC; \OPCODE_HI_5[4]_1\ : in STD_LOGIC; \OPCODE_HI_5[4]_2\ : in STD_LOGIC; \OPCODE_HI_5[4]_3\ : in STD_LOGIC; \OPCODE_LO_2[1]_0\ : in STD_LOGIC; \OPCODE_HI_5[4]_4\ : in STD_LOGIC; \OPCODE_HI_5[4]_5\ : in STD_LOGIC; INT : in STD_LOGIC; \OPCODE_HI_5[0]_0\ : in STD_LOGIC; \OPCODE_HI_5[4]_6\ : in STD_LOGIC; \OPCODE_HI_5[4]_7\ : in STD_LOGIC; OPCODE_LO_2 : in STD_LOGIC_VECTOR ( 0 to 0 ); \OPCODE_LO_2[1]_1\ : in STD_LOGIC; \OPCODE_HI_5[0]_1\ : in STD_LOGIC; \OPCODE_HI_5[2]_0\ : in STD_LOGIC; \OPCODE_HI_5[0]_2\ : in STD_LOGIC; \OPCODE_HI_5[2]_1\ : in STD_LOGIC; \OPCODE_HI_5[2]_2\ : in STD_LOGIC; \OPCODE_HI_5[2]_3\ : in STD_LOGIC; \OPCODE_HI_5[2]_4\ : in STD_LOGIC; \OPCODE_LO_2_0__s_port_\ : in STD_LOGIC; \OPCODE_HI_5[0]_3\ : in STD_LOGIC; \OPCODE_HI_5[4]_8\ : in STD_LOGIC; \OPCODE_HI_5[4]_9\ : in STD_LOGIC; \OPCODE_HI_5[2]_5\ : in STD_LOGIC; CLK : in STD_LOGIC; RST : in STD_LOGIC ); attribute ORIG_REF_NAME : string; attribute ORIG_REF_NAME of RAT_ControlUnit_0_0_ControlUnit : entity is "ControlUnit"; end RAT_ControlUnit_0_0_ControlUnit; architecture STRUCTURE of RAT_ControlUnit_0_0_ControlUnit is signal \ALU_SEL[0]_INST_0_i_2_n_0\ : STD_LOGIC; signal NS : STD_LOGIC_VECTOR ( 1 to 1 ); signal \OPCODE_HI_5_0__s_net_1\ : STD_LOGIC; signal \OPCODE_HI_5_2__s_net_1\ : STD_LOGIC; signal \OPCODE_HI_5_4__s_net_1\ : STD_LOGIC; signal \OPCODE_LO_2_0__s_net_1\ : STD_LOGIC; signal PS : STD_LOGIC_VECTOR ( 1 downto 0 ); signal \PS[0]_i_1_n_0\ : STD_LOGIC; signal RF_WR_INST_0_i_1_n_0 : STD_LOGIC; attribute SOFT_HLUTNM : string; attribute SOFT_HLUTNM of \ALU_SEL[0]_INST_0\ : label is "soft_lutpair4"; attribute SOFT_HLUTNM of \ALU_SEL[1]_INST_0\ : label is "soft_lutpair2"; attribute SOFT_HLUTNM of C_FLAG_CLR_INST_0 : label is "soft_lutpair6"; attribute SOFT_HLUTNM of C_FLAG_SET_INST_0 : label is "soft_lutpair0"; attribute SOFT_HLUTNM of I_FLAG_CLR_INST_0 : label is "soft_lutpair5"; attribute SOFT_HLUTNM of I_FLAG_SET_INST_0 : label is "soft_lutpair6"; attribute SOFT_HLUTNM of PC_INC_INST_0 : label is "soft_lutpair2"; attribute SOFT_HLUTNM of \PC_MUX_SEL[0]_INST_0\ : label is "soft_lutpair5"; attribute SOFT_HLUTNM of \PS[0]_i_1\ : label is "soft_lutpair3"; attribute SOFT_HLUTNM of \SCR_ADDR_SEL[0]_INST_0\ : label is "soft_lutpair1"; attribute SOFT_HLUTNM of \SCR_ADDR_SEL[1]_INST_0\ : label is "soft_lutpair0"; attribute SOFT_HLUTNM of SP_INCR_INST_0 : label is "soft_lutpair1"; attribute SOFT_HLUTNM of SP_LD_INST_0 : label is "soft_lutpair3"; attribute SOFT_HLUTNM of SP_RESET_INST_0 : label is "soft_lutpair4"; begin \OPCODE_HI_5_0__s_net_1\ <= \OPCODE_HI_5_0__s_port_\; \OPCODE_HI_5_2__s_net_1\ <= \OPCODE_HI_5_2__s_port_\; \OPCODE_HI_5_4__s_net_1\ <= \OPCODE_HI_5_4__s_port_]\; \OPCODE_LO_2_0__s_net_1\ <= \OPCODE_LO_2_0__s_port_\; ALU_OPY_SEL_INST_0: unisim.vcomponents.LUT5 generic map( INIT => X"0B000000" ) port map ( I0 => \OPCODE_HI_5[2]_3\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => OPCODE_HI_5(4), I4 => PS(1), O => ALU_OPY_SEL ); \ALU_SEL[0]_INST_0\: unisim.vcomponents.LUT5 generic map( INIT => X"4F400000" ) port map ( I0 => PS(0), I1 => \OPCODE_HI_5[4]_7\, I2 => OPCODE_HI_5(3), I3 => \ALU_SEL[0]_INST_0_i_2_n_0\, I4 => PS(1), O => ALU_SEL(0) ); \ALU_SEL[0]_INST_0_i_2\: unisim.vcomponents.LUT6 generic map( INIT => X"00000000F00F0201" ) port map ( I0 => OPCODE_LO_2(0), I1 => OPCODE_HI_5(1), I2 => OPCODE_HI_5(2), I3 => OPCODE_HI_5(0), I4 => OPCODE_HI_5(4), I5 => PS(0), O => \ALU_SEL[0]_INST_0_i_2_n_0\ ); \ALU_SEL[1]_INST_0\: unisim.vcomponents.LUT5 generic map( INIT => X"0B080000" ) port map ( I0 => \OPCODE_HI_5_0__s_net_1\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5_2__s_net_1\, I4 => PS(1), O => ALU_SEL(1) ); \ALU_SEL[2]_INST_0\: unisim.vcomponents.LUT5 generic map( INIT => X"0B080000" ) port map ( I0 => \OPCODE_LO_2[1]_1\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5[0]_1\, I4 => PS(1), O => ALU_SEL(2) ); \ALU_SEL[3]_INST_0\: unisim.vcomponents.LUT5 generic map( INIT => X"0B080000" ) port map ( I0 => \OPCODE_HI_5[2]_0\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5[0]_2\, I4 => PS(1), O => ALU_SEL(3) ); C_FLAG_CLR_INST_0: unisim.vcomponents.LUT4 generic map( INIT => X"0800" ) port map ( I0 => PS(1), I1 => \OPCODE_HI_5[4]_5\, I2 => PS(0), I3 => OPCODE_HI_5(3), O => C_FLAG_CLR ); C_FLAG_LD_INST_0: unisim.vcomponents.LUT5 generic map( INIT => X"0B080000" ) port map ( I0 => \OPCODE_HI_5[2]_4\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_LO_2_0__s_net_1\, I4 => PS(1), O => C_FLAG_LD ); C_FLAG_SET_INST_0: unisim.vcomponents.LUT4 generic map( INIT => X"0800" ) port map ( I0 => PS(1), I1 => \OPCODE_HI_5[4]_0\, I2 => PS(0), I3 => OPCODE_HI_5(3), O => C_FLAG_SET ); IO_OE_INST_0: unisim.vcomponents.LUT6 generic map( INIT => X"0000008000000000" ) port map ( I0 => PS(1), I1 => OPCODE_HI_5(4), I2 => \OPCODE_HI_5[2]_2\, I3 => OPCODE_HI_5(0), I4 => PS(0), I5 => OPCODE_HI_5(3), O => IO_OE ); I_FLAG_CLR_INST_0: unisim.vcomponents.LUT4 generic map( INIT => X"F800" ) port map ( I0 => \OPCODE_HI_5_4__s_net_1\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => PS(1), O => I_FLAG_CLR ); I_FLAG_SET_INST_0: unisim.vcomponents.LUT4 generic map( INIT => X"0800" ) port map ( I0 => PS(1), I1 => \OPCODE_HI_5[4]_4\, I2 => PS(0), I3 => OPCODE_HI_5(3), O => I_FLAG_SET ); PC_INC_INST_0: unisim.vcomponents.LUT2 generic map( INIT => X"2" ) port map ( I0 => PS(0), I1 => PS(1), O => PC_INC ); PC_LD_INST_0: unisim.vcomponents.LUT6 generic map( INIT => X"F8F8FBF800000000" ) port map ( I0 => \OPCODE_HI_5[4]_3\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_LO_2[1]_0\, I4 => OPCODE_HI_5(4), I5 => PS(1), O => PC_LD ); \PC_MUX_SEL[0]_INST_0\: unisim.vcomponents.LUT4 generic map( INIT => X"0800" ) port map ( I0 => PS(1), I1 => \OPCODE_HI_5[4]_3\, I2 => PS(0), I3 => OPCODE_HI_5(3), O => PC_MUX_SEL(0) ); \PS[0]_i_1\: unisim.vcomponents.LUT2 generic map( INIT => X"B" ) port map ( I0 => PS(1), I1 => PS(0), O => \PS[0]_i_1_n_0\ ); \PS[1]_i_1\: unisim.vcomponents.LUT3 generic map( INIT => X"2C" ) port map ( I0 => INT, I1 => PS(0), I2 => PS(1), O => NS(1) ); \PS_reg[0]\: unisim.vcomponents.FDCE port map ( C => CLK, CE => '1', CLR => RST, D => \PS[0]_i_1_n_0\, Q => PS(0) ); \PS_reg[1]\: unisim.vcomponents.FDCE port map ( C => CLK, CE => '1', CLR => RST, D => NS(1), Q => PS(1) ); RF_WR_INST_0: unisim.vcomponents.LUT5 generic map( INIT => X"8B880000" ) port map ( I0 => RF_WR_INST_0_i_1_n_0, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5[2]_1\, I4 => PS(1), O => RF_WR ); RF_WR_INST_0_i_1: unisim.vcomponents.LUT6 generic map( INIT => X"0000000052520111" ) port map ( I0 => OPCODE_HI_5(2), I1 => OPCODE_HI_5(1), I2 => OPCODE_HI_5(0), I3 => OPCODE_LO_2(0), I4 => OPCODE_HI_5(4), I5 => PS(0), O => RF_WR_INST_0_i_1_n_0 ); \RF_WR_SEL[0]_INST_0\: unisim.vcomponents.LUT5 generic map( INIT => X"0B080000" ) port map ( I0 => \OPCODE_HI_5[0]_3\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5[4]_8\, I4 => PS(1), O => RF_WR_SEL(0) ); \RF_WR_SEL[1]_INST_0\: unisim.vcomponents.LUT6 generic map( INIT => X"0000800000000000" ) port map ( I0 => PS(1), I1 => OPCODE_HI_5(4), I2 => \OPCODE_HI_5[2]_5\, I3 => OPCODE_HI_5(0), I4 => PS(0), I5 => OPCODE_HI_5(3), O => RF_WR_SEL(1) ); \SCR_ADDR_SEL[0]_INST_0\: unisim.vcomponents.LUT5 generic map( INIT => X"FBF80000" ) port map ( I0 => \OPCODE_LO_2[1]\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5[4]_0\, I4 => PS(1), O => SCR_ADDR_SEL(0) ); \SCR_ADDR_SEL[1]_INST_0\: unisim.vcomponents.LUT5 generic map( INIT => X"FBF80000" ) port map ( I0 => \OPCODE_HI_5[4]_1\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5[4]_0\, I4 => PS(1), O => SCR_ADDR_SEL(1) ); SCR_WR_INST_0: unisim.vcomponents.LUT5 generic map( INIT => X"0B080000" ) port map ( I0 => \OPCODE_HI_5[0]_0\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5[4]_6\, I4 => PS(1), O => SCR_WR ); SP_INCR_INST_0: unisim.vcomponents.LUT2 generic map( INIT => X"8" ) port map ( I0 => PS(0), I1 => PS(1), O => PC_MUX_SEL(1) ); SP_LD_INST_0: unisim.vcomponents.LUT5 generic map( INIT => X"FBF80000" ) port map ( I0 => \OPCODE_HI_5[4]_2\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5[4]_0\, I4 => PS(1), O => SP_LD ); SP_RESET_INST_0: unisim.vcomponents.LUT2 generic map( INIT => X"1" ) port map ( I0 => PS(0), I1 => PS(1), O => SP_RESET ); Z_FLAG_LD_INST_0: unisim.vcomponents.LUT5 generic map( INIT => X"0B080000" ) port map ( I0 => \OPCODE_HI_5[2]_4\, I1 => OPCODE_HI_5(3), I2 => PS(0), I3 => \OPCODE_HI_5[4]_9\, I4 => PS(1), O => Z_FLAG_LD ); end STRUCTURE; library IEEE; use IEEE.STD_LOGIC_1164.ALL; library UNISIM; use UNISIM.VCOMPONENTS.ALL; entity RAT_ControlUnit_0_0 is port ( CLK : in STD_LOGIC; C : in STD_LOGIC; Z : in STD_LOGIC; INT : in STD_LOGIC; RST : in STD_LOGIC; OPCODE_HI_5 : in STD_LOGIC_VECTOR ( 4 downto 0 ); OPCODE_LO_2 : in STD_LOGIC_VECTOR ( 1 downto 0 ); PC_LD : out STD_LOGIC; PC_INC : out STD_LOGIC; PC_RESET : out STD_LOGIC; PC_MUX_SEL : out STD_LOGIC_VECTOR ( 1 downto 0 ); SP_LD : out STD_LOGIC; SP_RESET : out STD_LOGIC; SP_INCR : out STD_LOGIC; SP_DECR : out STD_LOGIC; RF_WR : out STD_LOGIC; RF_WR_SEL : out STD_LOGIC_VECTOR ( 1 downto 0 ); ALU_SEL : out STD_LOGIC_VECTOR ( 3 downto 0 ); ALU_OPY_SEL : out STD_LOGIC; SCR_WR : out STD_LOGIC; SCR_ADDR_SEL : out STD_LOGIC_VECTOR ( 1 downto 0 ); SCR_DATA_SEL : out STD_LOGIC; C_FLAG_SEL : out STD_LOGIC; C_FLAG_LD : out STD_LOGIC; C_FLAG_SET : out STD_LOGIC; C_FLAG_CLR : out STD_LOGIC; SHAD_C_LD : out STD_LOGIC; Z_FLAG_SEL : out STD_LOGIC; Z_FLAG_LD : out STD_LOGIC; Z_FLAG_SET : out STD_LOGIC; Z_FLAG_CLR : out STD_LOGIC; SHAD_Z_LD : out STD_LOGIC; I_FLAG_SET : out STD_LOGIC; I_FLAG_CLR : out STD_LOGIC; IO_OE : out STD_LOGIC ); attribute NotValidForBitStream : boolean; attribute NotValidForBitStream of RAT_ControlUnit_0_0 : entity is true; attribute CHECK_LICENSE_TYPE : string; attribute CHECK_LICENSE_TYPE of RAT_ControlUnit_0_0 : entity is "RAT_ControlUnit_0_0,ControlUnit,{}"; attribute downgradeipidentifiedwarnings : string; attribute downgradeipidentifiedwarnings of RAT_ControlUnit_0_0 : entity is "yes"; attribute x_core_info : string; attribute x_core_info of RAT_ControlUnit_0_0 : entity is "ControlUnit,Vivado 2016.4"; end RAT_ControlUnit_0_0; architecture STRUCTURE of RAT_ControlUnit_0_0 is signal \<const0>\ : STD_LOGIC; signal ALU_OPY_SEL_INST_0_i_1_n_0 : STD_LOGIC; signal \ALU_SEL[0]_INST_0_i_1_n_0\ : STD_LOGIC; signal \ALU_SEL[1]_INST_0_i_1_n_0\ : STD_LOGIC; signal \ALU_SEL[1]_INST_0_i_2_n_0\ : STD_LOGIC; signal \ALU_SEL[2]_INST_0_i_1_n_0\ : STD_LOGIC; signal \ALU_SEL[2]_INST_0_i_2_n_0\ : STD_LOGIC; signal \ALU_SEL[3]_INST_0_i_1_n_0\ : STD_LOGIC; signal \ALU_SEL[3]_INST_0_i_2_n_0\ : STD_LOGIC; signal C_FLAG_CLR_INST_0_i_1_n_0 : STD_LOGIC; signal C_FLAG_LD_INST_0_i_1_n_0 : STD_LOGIC; signal C_FLAG_LD_INST_0_i_2_n_0 : STD_LOGIC; signal IO_OE_INST_0_i_1_n_0 : STD_LOGIC; signal I_FLAG_CLR_INST_0_i_1_n_0 : STD_LOGIC; signal I_FLAG_SET_INST_0_i_1_n_0 : STD_LOGIC; signal PC_LD_INST_0_i_1_n_0 : STD_LOGIC; signal PC_LD_INST_0_i_2_n_0 : STD_LOGIC; signal PC_LD_INST_0_i_3_n_0 : STD_LOGIC; signal PC_LD_INST_0_i_4_n_0 : STD_LOGIC; signal \^pc_mux_sel\ : STD_LOGIC_VECTOR ( 1 downto 0 ); signal RF_WR_INST_0_i_2_n_0 : STD_LOGIC; signal \RF_WR_SEL[0]_INST_0_i_1_n_0\ : STD_LOGIC; signal \RF_WR_SEL[0]_INST_0_i_2_n_0\ : STD_LOGIC; signal \RF_WR_SEL[1]_INST_0_i_1_n_0\ : STD_LOGIC; signal \SCR_ADDR_SEL[0]_INST_0_i_1_n_0\ : STD_LOGIC; signal \SCR_ADDR_SEL[1]_INST_0_i_1_n_0\ : STD_LOGIC; signal SCR_WR_INST_0_i_1_n_0 : STD_LOGIC; signal SCR_WR_INST_0_i_2_n_0 : STD_LOGIC; signal SP_LD_INST_0_i_1_n_0 : STD_LOGIC; signal SP_LD_INST_0_i_2_n_0 : STD_LOGIC; signal \^sp_reset\ : STD_LOGIC; signal Z_FLAG_LD_INST_0_i_1_n_0 : STD_LOGIC; attribute SOFT_HLUTNM : string; attribute SOFT_HLUTNM of ALU_OPY_SEL_INST_0_i_1 : label is "soft_lutpair7"; attribute SOFT_HLUTNM of IO_OE_INST_0_i_1 : label is "soft_lutpair7"; begin C_FLAG_SEL <= \<const0>\; PC_MUX_SEL(1 downto 0) <= \^pc_mux_sel\(1 downto 0); PC_RESET <= \^sp_reset\; SCR_DATA_SEL <= \<const0>\; SHAD_C_LD <= \<const0>\; SHAD_Z_LD <= \<const0>\; SP_DECR <= \<const0>\; SP_INCR <= \^pc_mux_sel\(1); SP_RESET <= \^sp_reset\; Z_FLAG_CLR <= \<const0>\; Z_FLAG_SEL <= \<const0>\; Z_FLAG_SET <= \<const0>\; ALU_OPY_SEL_INST_0_i_1: unisim.vcomponents.LUT3 generic map( INIT => X"09" ) port map ( I0 => OPCODE_HI_5(0), I1 => OPCODE_HI_5(1), I2 => OPCODE_HI_5(2), O => ALU_OPY_SEL_INST_0_i_1_n_0 ); \ALU_SEL[0]_INST_0_i_1\: unisim.vcomponents.LUT6 generic map( INIT => X"0000000000010101" ) port map ( I0 => OPCODE_LO_2(0), I1 => OPCODE_HI_5(1), I2 => OPCODE_HI_5(2), I3 => OPCODE_HI_5(0), I4 => OPCODE_LO_2(1), I5 => OPCODE_HI_5(4), O => \ALU_SEL[0]_INST_0_i_1_n_0\ ); \ALU_SEL[1]_INST_0_i_1\: unisim.vcomponents.LUT6 generic map( INIT => X"00A000A000010004" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_LO_2(0), I2 => OPCODE_HI_5(1), I3 => OPCODE_HI_5(2), I4 => OPCODE_LO_2(1), I5 => OPCODE_HI_5(0), O => \ALU_SEL[1]_INST_0_i_1_n_0\ ); \ALU_SEL[1]_INST_0_i_2\: unisim.vcomponents.LUT6 generic map( INIT => X"A0A0A0A02C392D28" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_HI_5(0), I2 => OPCODE_HI_5(1), I3 => OPCODE_LO_2(1), I4 => OPCODE_LO_2(0), I5 => OPCODE_HI_5(2), O => \ALU_SEL[1]_INST_0_i_2_n_0\ ); \ALU_SEL[2]_INST_0_i_1\: unisim.vcomponents.LUT6 generic map( INIT => X"0000883200008826" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_HI_5(0), I2 => OPCODE_LO_2(0), I3 => OPCODE_HI_5(1), I4 => OPCODE_HI_5(2), I5 => OPCODE_LO_2(1), O => \ALU_SEL[2]_INST_0_i_1_n_0\ ); \ALU_SEL[2]_INST_0_i_2\: unisim.vcomponents.LUT6 generic map( INIT => X"0000222223232333" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_HI_5(2), I2 => OPCODE_LO_2(1), I3 => OPCODE_LO_2(0), I4 => OPCODE_HI_5(1), I5 => OPCODE_HI_5(0), O => \ALU_SEL[2]_INST_0_i_2_n_0\ ); \ALU_SEL[3]_INST_0_i_1\: unisim.vcomponents.LUT6 generic map( INIT => X"00000000AA000155" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_LO_2(0), I2 => OPCODE_LO_2(1), I3 => OPCODE_HI_5(0), I4 => OPCODE_HI_5(1), I5 => OPCODE_HI_5(2), O => \ALU_SEL[3]_INST_0_i_1_n_0\ ); \ALU_SEL[3]_INST_0_i_2\: unisim.vcomponents.LUT6 generic map( INIT => X"00A000A000040040" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_LO_2(0), I2 => OPCODE_HI_5(1), I3 => OPCODE_HI_5(2), I4 => OPCODE_LO_2(1), I5 => OPCODE_HI_5(0), O => \ALU_SEL[3]_INST_0_i_2_n_0\ ); C_FLAG_CLR_INST_0_i_1: unisim.vcomponents.LUT6 generic map( INIT => X"0000000000000010" ) port map ( I0 => OPCODE_HI_5(0), I1 => OPCODE_LO_2(0), I2 => OPCODE_HI_5(2), I3 => OPCODE_HI_5(1), I4 => OPCODE_LO_2(1), I5 => OPCODE_HI_5(4), O => C_FLAG_CLR_INST_0_i_1_n_0 ); C_FLAG_LD_INST_0_i_1: unisim.vcomponents.LUT6 generic map( INIT => X"00000000000001FF" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_LO_2(0), I2 => OPCODE_LO_2(1), I3 => OPCODE_HI_5(0), I4 => OPCODE_HI_5(1), I5 => OPCODE_HI_5(2), O => C_FLAG_LD_INST_0_i_1_n_0 ); C_FLAG_LD_INST_0_i_2: unisim.vcomponents.LUT6 generic map( INIT => X"AA22AA44AA23AA54" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_HI_5(0), I2 => OPCODE_LO_2(1), I3 => OPCODE_HI_5(2), I4 => OPCODE_HI_5(1), I5 => OPCODE_LO_2(0), O => C_FLAG_LD_INST_0_i_2_n_0 ); GND: unisim.vcomponents.GND port map ( G => \<const0>\ ); IO_OE_INST_0_i_1: unisim.vcomponents.LUT2 generic map( INIT => X"2" ) port map ( I0 => OPCODE_HI_5(1), I1 => OPCODE_HI_5(2), O => IO_OE_INST_0_i_1_n_0 ); I_FLAG_CLR_INST_0_i_1: unisim.vcomponents.LUT6 generic map( INIT => X"0000000002000800" ) port map ( I0 => OPCODE_HI_5(0), I1 => OPCODE_LO_2(1), I2 => OPCODE_HI_5(1), I3 => OPCODE_HI_5(2), I4 => OPCODE_LO_2(0), I5 => OPCODE_HI_5(4), O => I_FLAG_CLR_INST_0_i_1_n_0 ); I_FLAG_SET_INST_0_i_1: unisim.vcomponents.LUT6 generic map( INIT => X"0000000008000200" ) port map ( I0 => OPCODE_HI_5(0), I1 => OPCODE_LO_2(1), I2 => OPCODE_HI_5(1), I3 => OPCODE_HI_5(2), I4 => OPCODE_LO_2(0), I5 => OPCODE_HI_5(4), O => I_FLAG_SET_INST_0_i_1_n_0 ); PC_LD_INST_0_i_1: unisim.vcomponents.LUT6 generic map( INIT => X"0000000020200020" ) port map ( I0 => OPCODE_LO_2(1), I1 => OPCODE_HI_5(1), I2 => OPCODE_HI_5(2), I3 => OPCODE_LO_2(0), I4 => OPCODE_HI_5(0), I5 => OPCODE_HI_5(4), O => PC_LD_INST_0_i_1_n_0 ); PC_LD_INST_0_i_2: unisim.vcomponents.MUXF7 port map ( I0 => PC_LD_INST_0_i_3_n_0, I1 => PC_LD_INST_0_i_4_n_0, O => PC_LD_INST_0_i_2_n_0, S => OPCODE_HI_5(0) ); PC_LD_INST_0_i_3: unisim.vcomponents.LUT5 generic map( INIT => X"00006F00" ) port map ( I0 => Z, I1 => OPCODE_LO_2(0), I2 => OPCODE_LO_2(1), I3 => OPCODE_HI_5(2), I4 => OPCODE_HI_5(1), O => PC_LD_INST_0_i_3_n_0 ); PC_LD_INST_0_i_4: unisim.vcomponents.LUT5 generic map( INIT => X"00000408" ) port map ( I0 => OPCODE_LO_2(0), I1 => OPCODE_HI_5(2), I2 => OPCODE_HI_5(1), I3 => C, I4 => OPCODE_LO_2(1), O => PC_LD_INST_0_i_4_n_0 ); RF_WR_INST_0_i_2: unisim.vcomponents.LUT6 generic map( INIT => X"AAAAAAAA2332CDDD" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_HI_5(0), I2 => OPCODE_LO_2(1), I3 => OPCODE_LO_2(0), I4 => OPCODE_HI_5(1), I5 => OPCODE_HI_5(2), O => RF_WR_INST_0_i_2_n_0 ); \RF_WR_SEL[0]_INST_0_i_1\: unisim.vcomponents.LUT6 generic map( INIT => X"000A000E00A000A0" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_LO_2(1), I2 => OPCODE_HI_5(2), I3 => OPCODE_HI_5(1), I4 => OPCODE_LO_2(0), I5 => OPCODE_HI_5(0), O => \RF_WR_SEL[0]_INST_0_i_1_n_0\ ); \RF_WR_SEL[0]_INST_0_i_2\: unisim.vcomponents.LUT6 generic map( INIT => X"0000000000100000" ) port map ( I0 => OPCODE_HI_5(0), I1 => OPCODE_LO_2(0), I2 => OPCODE_HI_5(1), I3 => OPCODE_HI_5(2), I4 => OPCODE_LO_2(1), I5 => OPCODE_HI_5(4), O => \RF_WR_SEL[0]_INST_0_i_2_n_0\ ); \RF_WR_SEL[1]_INST_0_i_1\: unisim.vcomponents.LUT2 generic map( INIT => X"1" ) port map ( I0 => OPCODE_HI_5(1), I1 => OPCODE_HI_5(2), O => \RF_WR_SEL[1]_INST_0_i_1_n_0\ ); \SCR_ADDR_SEL[0]_INST_0_i_1\: unisim.vcomponents.LUT6 generic map( INIT => X"0000EF040000AA00" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_HI_5(0), I2 => OPCODE_LO_2(0), I3 => OPCODE_HI_5(2), I4 => OPCODE_HI_5(1), I5 => OPCODE_LO_2(1), O => \SCR_ADDR_SEL[0]_INST_0_i_1_n_0\ ); \SCR_ADDR_SEL[1]_INST_0_i_1\: unisim.vcomponents.LUT6 generic map( INIT => X"0000000021220020" ) port map ( I0 => OPCODE_LO_2(1), I1 => OPCODE_HI_5(1), I2 => OPCODE_HI_5(2), I3 => OPCODE_LO_2(0), I4 => OPCODE_HI_5(0), I5 => OPCODE_HI_5(4), O => \SCR_ADDR_SEL[1]_INST_0_i_1_n_0\ ); SCR_WR_INST_0_i_1: unisim.vcomponents.LUT6 generic map( INIT => X"00A100A000000000" ) port map ( I0 => OPCODE_HI_5(4), I1 => OPCODE_LO_2(1), I2 => OPCODE_HI_5(2), I3 => OPCODE_HI_5(1), I4 => OPCODE_LO_2(0), I5 => OPCODE_HI_5(0), O => SCR_WR_INST_0_i_1_n_0 ); SCR_WR_INST_0_i_2: unisim.vcomponents.LUT6 generic map( INIT => X"0000000001400000" ) port map ( I0 => OPCODE_HI_5(0), I1 => OPCODE_LO_2(1), I2 => OPCODE_HI_5(1), I3 => OPCODE_HI_5(2), I4 => OPCODE_LO_2(0), I5 => OPCODE_HI_5(4), O => SCR_WR_INST_0_i_2_n_0 ); SP_LD_INST_0_i_1: unisim.vcomponents.LUT6 generic map( INIT => X"0000000031021004" ) port map ( I0 => OPCODE_LO_2(0), I1 => OPCODE_HI_5(1), I2 => OPCODE_HI_5(2), I3 => OPCODE_LO_2(1), I4 => OPCODE_HI_5(0), I5 => OPCODE_HI_5(4), O => SP_LD_INST_0_i_1_n_0 ); SP_LD_INST_0_i_2: unisim.vcomponents.LUT6 generic map( INIT => X"0000000000000040" ) port map ( I0 => OPCODE_HI_5(0), I1 => OPCODE_LO_2(0), I2 => OPCODE_HI_5(2), I3 => OPCODE_HI_5(1), I4 => OPCODE_LO_2(1), I5 => OPCODE_HI_5(4), O => SP_LD_INST_0_i_2_n_0 ); U0: entity work.RAT_ControlUnit_0_0_ControlUnit port map ( ALU_OPY_SEL => ALU_OPY_SEL, ALU_SEL(3 downto 0) => ALU_SEL(3 downto 0), CLK => CLK, C_FLAG_CLR => C_FLAG_CLR, C_FLAG_LD => C_FLAG_LD, C_FLAG_SET => C_FLAG_SET, INT => INT, IO_OE => IO_OE, I_FLAG_CLR => I_FLAG_CLR, I_FLAG_SET => I_FLAG_SET, OPCODE_HI_5(4 downto 0) => OPCODE_HI_5(4 downto 0), \OPCODE_HI_5[0]_0\ => SCR_WR_INST_0_i_1_n_0, \OPCODE_HI_5[0]_1\ => \ALU_SEL[2]_INST_0_i_2_n_0\, \OPCODE_HI_5[0]_2\ => \ALU_SEL[3]_INST_0_i_2_n_0\, \OPCODE_HI_5[0]_3\ => \RF_WR_SEL[0]_INST_0_i_1_n_0\, \OPCODE_HI_5[2]_0\ => \ALU_SEL[3]_INST_0_i_1_n_0\, \OPCODE_HI_5[2]_1\ => RF_WR_INST_0_i_2_n_0, \OPCODE_HI_5[2]_2\ => IO_OE_INST_0_i_1_n_0, \OPCODE_HI_5[2]_3\ => ALU_OPY_SEL_INST_0_i_1_n_0, \OPCODE_HI_5[2]_4\ => C_FLAG_LD_INST_0_i_1_n_0, \OPCODE_HI_5[2]_5\ => \RF_WR_SEL[1]_INST_0_i_1_n_0\, \OPCODE_HI_5[4]_0\ => SP_LD_INST_0_i_2_n_0, \OPCODE_HI_5[4]_1\ => \SCR_ADDR_SEL[1]_INST_0_i_1_n_0\, \OPCODE_HI_5[4]_2\ => SP_LD_INST_0_i_1_n_0, \OPCODE_HI_5[4]_3\ => PC_LD_INST_0_i_1_n_0, \OPCODE_HI_5[4]_4\ => I_FLAG_SET_INST_0_i_1_n_0, \OPCODE_HI_5[4]_5\ => C_FLAG_CLR_INST_0_i_1_n_0, \OPCODE_HI_5[4]_6\ => SCR_WR_INST_0_i_2_n_0, \OPCODE_HI_5[4]_7\ => \ALU_SEL[0]_INST_0_i_1_n_0\, \OPCODE_HI_5[4]_8\ => \RF_WR_SEL[0]_INST_0_i_2_n_0\, \OPCODE_HI_5[4]_9\ => Z_FLAG_LD_INST_0_i_1_n_0, \OPCODE_HI_5_0__s_port_\ => \ALU_SEL[1]_INST_0_i_1_n_0\, \OPCODE_HI_5_2__s_port_\ => \ALU_SEL[1]_INST_0_i_2_n_0\, \OPCODE_HI_5_4__s_port_]\ => I_FLAG_CLR_INST_0_i_1_n_0, OPCODE_LO_2(0) => OPCODE_LO_2(0), \OPCODE_LO_2[1]\ => \SCR_ADDR_SEL[0]_INST_0_i_1_n_0\, \OPCODE_LO_2[1]_0\ => PC_LD_INST_0_i_2_n_0, \OPCODE_LO_2[1]_1\ => \ALU_SEL[2]_INST_0_i_1_n_0\, \OPCODE_LO_2_0__s_port_\ => C_FLAG_LD_INST_0_i_2_n_0, PC_INC => PC_INC, PC_LD => PC_LD, PC_MUX_SEL(1 downto 0) => \^pc_mux_sel\(1 downto 0), RF_WR => RF_WR, RF_WR_SEL(1 downto 0) => RF_WR_SEL(1 downto 0), RST => RST, SCR_ADDR_SEL(1 downto 0) => SCR_ADDR_SEL(1 downto 0), SCR_WR => SCR_WR, SP_LD => SP_LD, SP_RESET => \^sp_reset\, Z_FLAG_LD => Z_FLAG_LD ); Z_FLAG_LD_INST_0_i_1: unisim.vcomponents.LUT6 generic map( INIT => X"FFFFFFFF05050515" ) port map ( I0 => OPCODE_HI_5(2), I1 => OPCODE_LO_2(0), I2 => OPCODE_HI_5(1), I3 => OPCODE_LO_2(1), I4 => OPCODE_HI_5(0), I5 => OPCODE_HI_5(4), O => Z_FLAG_LD_INST_0_i_1_n_0 ); end STRUCTURE;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_Mux4x1_8_0_1/RAT_Mux4x1_8_0_1_stub.vhdl
1
1525
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved. -- -------------------------------------------------------------------------------- -- Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017 -- Date : Fri Oct 27 10:20:39 2017 -- Host : Juice-Laptop running 64-bit major release (build 9200) -- Command : write_vhdl -force -mode synth_stub -- c:/RATCPU/Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_Mux4x1_8_0_1/RAT_Mux4x1_8_0_1_stub.vhdl -- Design : RAT_Mux4x1_8_0_1 -- Purpose : Stub declaration of top-level module interface -- Device : xc7a35tcpg236-1 -- -------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; entity RAT_Mux4x1_8_0_1 is Port ( A : in STD_LOGIC_VECTOR ( 7 downto 0 ); B : in STD_LOGIC_VECTOR ( 7 downto 0 ); C : in STD_LOGIC_VECTOR ( 7 downto 0 ); D : in STD_LOGIC_VECTOR ( 7 downto 0 ); SEL : in STD_LOGIC_VECTOR ( 1 downto 0 ); X : out STD_LOGIC_VECTOR ( 7 downto 0 ) ); end RAT_Mux4x1_8_0_1; architecture stub of RAT_Mux4x1_8_0_1 is attribute syn_black_box : boolean; attribute black_box_pad_pin : string; attribute syn_black_box of stub : architecture is true; attribute black_box_pad_pin of stub : architecture is "A[7:0],B[7:0],C[7:0],D[7:0],SEL[1:0],X[7:0]"; attribute x_core_info : string; attribute x_core_info of stub : architecture is "Mux4x1_8,Vivado 2016.4"; begin end;
mit
MiddleMan5/233
Experiments/Experiment7-Its_Alive/IPI-BD/RAT/ip/RAT_Mux4x1_10_0_0/RAT_Mux4x1_10_0_0_stub.vhdl
2
1532
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved. -- -------------------------------------------------------------------------------- -- Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017 -- Date : Thu Oct 26 22:45:01 2017 -- Host : Juice-Laptop running 64-bit major release (build 9200) -- Command : write_vhdl -force -mode synth_stub -- c:/RATCPU/Experiments/Experiment7-Its_Alive/IPI-BD/RAT/ip/RAT_Mux4x1_10_0_0/RAT_Mux4x1_10_0_0_stub.vhdl -- Design : RAT_Mux4x1_10_0_0 -- Purpose : Stub declaration of top-level module interface -- Device : xc7a35tcpg236-1 -- -------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; entity RAT_Mux4x1_10_0_0 is Port ( A : in STD_LOGIC_VECTOR ( 9 downto 0 ); B : in STD_LOGIC_VECTOR ( 9 downto 0 ); C : in STD_LOGIC_VECTOR ( 9 downto 0 ); D : in STD_LOGIC_VECTOR ( 9 downto 0 ); SEL : in STD_LOGIC_VECTOR ( 1 downto 0 ); X : out STD_LOGIC_VECTOR ( 9 downto 0 ) ); end RAT_Mux4x1_10_0_0; architecture stub of RAT_Mux4x1_10_0_0 is attribute syn_black_box : boolean; attribute black_box_pad_pin : string; attribute syn_black_box of stub : architecture is true; attribute black_box_pad_pin of stub : architecture is "A[9:0],B[9:0],C[9:0],D[9:0],SEL[1:0],X[9:0]"; attribute x_core_info : string; attribute x_core_info of stub : architecture is "Mux4x1_10,Vivado 2016.4"; begin end;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_xlconcat_0_0/RAT_xlconcat_0_0_sim_netlist.vhdl
1
2000
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved. -- -------------------------------------------------------------------------------- -- Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017 -- Date : Fri Oct 27 10:20:39 2017 -- Host : Juice-Laptop running 64-bit major release (build 9200) -- Command : write_vhdl -force -mode funcsim -- c:/RATCPU/Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_xlconcat_0_0/RAT_xlconcat_0_0_sim_netlist.vhdl -- Design : RAT_xlconcat_0_0 -- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or -- synthesized. This netlist cannot be used for SDF annotated simulation. -- Device : xc7a35tcpg236-1 -- -------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; library UNISIM; use UNISIM.VCOMPONENTS.ALL; entity RAT_xlconcat_0_0 is port ( In0 : in STD_LOGIC_VECTOR ( 7 downto 0 ); In1 : in STD_LOGIC_VECTOR ( 1 downto 0 ); dout : out STD_LOGIC_VECTOR ( 9 downto 0 ) ); attribute NotValidForBitStream : boolean; attribute NotValidForBitStream of RAT_xlconcat_0_0 : entity is true; attribute CHECK_LICENSE_TYPE : string; attribute CHECK_LICENSE_TYPE of RAT_xlconcat_0_0 : entity is "RAT_xlconcat_0_0,xlconcat,{}"; attribute downgradeipidentifiedwarnings : string; attribute downgradeipidentifiedwarnings of RAT_xlconcat_0_0 : entity is "yes"; attribute x_core_info : string; attribute x_core_info of RAT_xlconcat_0_0 : entity is "xlconcat,Vivado 2016.4"; end RAT_xlconcat_0_0; architecture STRUCTURE of RAT_xlconcat_0_0 is signal \^in0\ : STD_LOGIC_VECTOR ( 7 downto 0 ); signal \^in1\ : STD_LOGIC_VECTOR ( 1 downto 0 ); begin \^in0\(7 downto 0) <= In0(7 downto 0); \^in1\(1 downto 0) <= In1(1 downto 0); dout(9 downto 8) <= \^in1\(1 downto 0); dout(7 downto 0) <= \^in0\(7 downto 0); end STRUCTURE;
mit
MiddleMan5/233
Experiments/IP_Repo/Program Counter/src/Program_Counter.vhd
2
4167
--Copyright 1986-2016 Xilinx, Inc. All Rights Reserved. ---------------------------------------------------------------------------------- --Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017 --Date : Mon Oct 16 23:04:57 2017 --Host : Juice-Laptop running 64-bit major release (build 9200) --Command : generate_target Program_Counter.bd --Design : Program_Counter --Purpose : IP block netlist ---------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; library UNISIM; use UNISIM.VCOMPONENTS.ALL; entity Program_Counter is port ( CLK : in STD_LOGIC; FROM_IMMED : in STD_LOGIC_VECTOR ( 9 downto 0 ); FROM_STACK : in STD_LOGIC_VECTOR ( 9 downto 0 ); PC_COUNT : out STD_LOGIC_VECTOR ( 0 to 9 ); PC_INC : in STD_LOGIC; PC_LD : in STD_LOGIC; PC_MUX_SEL : in STD_LOGIC_VECTOR ( 1 downto 0 ); RST : in STD_LOGIC ); attribute CORE_GENERATION_INFO : string; attribute CORE_GENERATION_INFO of Program_Counter : entity is "Program_Counter,IP_Integrator,{x_ipVendor=xilinx.com,x_ipLibrary=BlockDiagram,x_ipName=Program_Counter,x_ipVersion=1.00.a,x_ipLanguage=VHDL,numBlks=3,numReposBlks=3,numNonXlnxBlks=2,numHierBlks=0,maxHierDepth=0,numSysgenBlks=0,numHlsBlks=0,numHdlrefBlks=0,numPkgbdBlks=0,bdsource=USER,synth_mode=OOC_per_IP}"; attribute HW_HANDOFF : string; attribute HW_HANDOFF of Program_Counter : entity is "Program_Counter.hwdef"; end Program_Counter; architecture STRUCTURE of Program_Counter is component Program_Counter_Constant_0_0 is port ( dout : out STD_LOGIC_VECTOR ( 9 downto 0 ) ); end component Program_Counter_Constant_0_0; component Program_Counter_Mux4x1_0_1 is port ( A : in STD_LOGIC_VECTOR ( 9 downto 0 ); B : in STD_LOGIC_VECTOR ( 9 downto 0 ); C : in STD_LOGIC_VECTOR ( 9 downto 0 ); D : in STD_LOGIC_VECTOR ( 9 downto 0 ); SEL : in STD_LOGIC_VECTOR ( 1 downto 0 ); X : out STD_LOGIC_VECTOR ( 9 downto 0 ) ); end component Program_Counter_Mux4x1_0_1; component Program_Counter_Counter10bit_0_1 is port ( Din : in STD_LOGIC_VECTOR ( 0 to 9 ); LOAD : in STD_LOGIC; INC : in STD_LOGIC; RESET : in STD_LOGIC; CLK : in STD_LOGIC; COUNT : out STD_LOGIC_VECTOR ( 0 to 9 ) ); end component Program_Counter_Counter10bit_0_1; signal CLK_1 : STD_LOGIC; signal Constant_0_dout : STD_LOGIC_VECTOR ( 9 downto 0 ); signal Counter10bit_0_COUNT : STD_LOGIC_VECTOR ( 0 to 9 ); signal FROM_IMMED_1 : STD_LOGIC_VECTOR ( 9 downto 0 ); signal FROM_STACK_1 : STD_LOGIC_VECTOR ( 9 downto 0 ); signal Mux4x1_0_X : STD_LOGIC_VECTOR ( 9 downto 0 ); signal PC_INC_1 : STD_LOGIC; signal PC_LD_1 : STD_LOGIC; signal PC_MUX_SEL_1 : STD_LOGIC_VECTOR ( 1 downto 0 ); signal RST_1 : STD_LOGIC; begin CLK_1 <= CLK; FROM_IMMED_1(9 downto 0) <= FROM_IMMED(9 downto 0); FROM_STACK_1(9 downto 0) <= FROM_STACK(9 downto 0); PC_COUNT(0 to 9) <= Counter10bit_0_COUNT(0 to 9); PC_INC_1 <= PC_INC; PC_LD_1 <= PC_LD; PC_MUX_SEL_1(1 downto 0) <= PC_MUX_SEL(1 downto 0); RST_1 <= RST; Constant_0: component Program_Counter_Constant_0_0 port map ( dout(9 downto 0) => Constant_0_dout(9 downto 0) ); Counter10bit_0: component Program_Counter_Counter10bit_0_1 port map ( CLK => CLK_1, COUNT(0 to 9) => Counter10bit_0_COUNT(0 to 9), Din(0) => Mux4x1_0_X(9), Din(1) => Mux4x1_0_X(8), Din(2) => Mux4x1_0_X(7), Din(3) => Mux4x1_0_X(6), Din(4) => Mux4x1_0_X(5), Din(5) => Mux4x1_0_X(4), Din(6) => Mux4x1_0_X(3), Din(7) => Mux4x1_0_X(2), Din(8) => Mux4x1_0_X(1), Din(9) => Mux4x1_0_X(0), INC => PC_INC_1, LOAD => PC_LD_1, RESET => RST_1 ); Mux4x1_0: component Program_Counter_Mux4x1_0_1 port map ( A(9 downto 0) => FROM_IMMED_1(9 downto 0), B(9 downto 0) => FROM_STACK_1(9 downto 0), C(9 downto 0) => Constant_0_dout(9 downto 0), D(9 downto 0) => B"0000000000", SEL(1 downto 0) => PC_MUX_SEL_1(1 downto 0), X(9 downto 0) => Mux4x1_0_X(9 downto 0) ); end STRUCTURE;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim.ip_user_files/ipstatic/fir_compiler_v7_2/hdl/fir_compiler_v7_2.vhd
4
19955
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2014" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block VvP130E7JUQ+HN2eHnGvZ4NCrjsYrdn4AgRPdtpqZZUHouA1As0STTrWCQqv9CCKwyzo3QYn6VPs /1dV3j+Tpw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block enr3+/snO318k8I2DefMCuojrVt5O5j7AXHui6HFYJOuOgOTr8iN07dVr8NkeissbTwWzaOVvgMw PMcplWy7AGLRyS3Fnxja8eraCmzdRTCH22UcqA/s9vNwpPy7mZ/n6qZ6m3mTu1ex1wzyAPZr6vs+ PuGH0GQIAT3RMesnQuk= `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block ehQhvjUIXj9tQ+5AV/pHp1ztj8HR+HFELOwA3VGKTLa1gdhdtpXdAMEbljZqyuiDKDd56v5t+kV0 z9qHXqdNrzRUaVZ/jYtiyXLKiladQDKXDbnDyW4cEXi5yjsSreC2enP9OYJUwCrpYdWyhhY4Nv7F WkqsmCLsLzz+hUiBm9k= `protect key_keyowner = "Aldec", key_keyname= "ALDEC15_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block URSTPw0+GC/iqmzptwOhZmnu5KH+VexdE5Ux5qx12Kl+pbc0wxTYVR7WChdYsPFIASEuIfxXl8ff sUt8lkBIojcSKAy/HFdmTUUm4oliaA8ldF/dL+lJbojoxQ9g2O1md9oRN9+Z8SAbWmr1Cw8sqN1D ISUSHr+QIv+fFS0PlS/F3cD93lKXQOLGjFRld8mYRyjszRJpKnzJSENdkE4W8v3kTYbQSMrYMb7Z UX4vboTW7boPKrYI7YMWGcUszlg0l5Ad2BwUMSICFX/CWbWH+do1vALeFKQ/47OeZQMBDbxQEtRn o8iklWa/OnUYh1MRQYIzzYrZSz57DYQj79HaNQ== `protect key_keyowner = "ATRENTA", key_keyname= "ATR-SG-2015-RSA-3", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block Pyk4eWBGXWeCK7AlUCmQkLMgtXax9v00Ot96V1ajl4+qnet6+FzytC9FCa9Q9c64eIy2DMqpX9V/ 4y/TIuq7gdGUEcWISWDvNggwO4xxpuyPvM3honR1G6N06roiP9L86i6dT/RwmuXBBxC5JTEG0+X1 f5T2jmX9sVtZ65cR6QkkzZaDKhXL6p7MZtVA5N2yJwLhOgZ8P5eKkR0qiqDqKKD0EhUNucbb82Vt IzabHR1DJTyZEnL+R66JxMJVqQMaDFLZLlprGM+ykv9yGk4qg8hdSPWSmw5Qb/mYSTr9rBUaMzzE W9vq9XNNo69IjAVmgf3pdhx9LdbE8MjP2JqNSQ== `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2016_05", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block X5r4hbZ9OSUeczTn0bBtWUmKwSHStplpv5j+DzvsLTaettzx9h55ArmtUlkt8dUWbbL5kdYepp/Z IiOdiNBoojMTArXiqtTUh3AeWTy0yOf9XETXhr1HJLFkFVg7/94C5oQZah99o1HEloe7XhtK6MLg /E/yxU4wHgLDYmYuCLiZFnTOKah2wmMjUWl+hVkK1lzO7ewoVwEln1NsBL0vuX67lA4/etGFK1c+ weEeZjIZcgdqTehOWhEjYnXeD4jnFb84Ygt6cGyeUG+zIduaBjhT9Uv6XEf6aPFdFHlt9NSVi+U3 o8dWUv/iycDY6bbHxz2Te0kJwt54RoOyqt585Q== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 12640) `protect data_block MgQrOZa5SE8EyRUPPObqXl/NWwmjeGnN2E8xt49M3ecUUXQ8hO+fW4eMRp6gUbuE9AgK7zdeH2tt G/s9hN5eqO5jENB15g2OZXRzvSnqqoHmCrkfKWd6BBPtjiR+iLZEqgKH/OvWyx5EtHiFEldKAAkq kZGDFs+/rNfUNRLRvVOkou3Jh6N+eLdqUOxz7wSmMAbjk7B+7bwB4TiKx8nzD3fJ1A/UJ8Cbos5n zc6yUx/Q985Qqn93xSFuNiARUCJT4OZ85mr3822roT8/lTuPgMpRun6YVqvI3uG/EHQwIINlDZJF MdLh+M9DbAKvLjjA2pH6AvUsJDBcC9iRoODRvrTtqGZwxgtAoxudsh0mARp6YoRLvqhQJ9Kfy5j5 lXYsQx9fVUvvZ4sDi9NL2d/rrJu8Uqc09ZWw0QYV3ygC2gg72dBat04LO41+NNsrSChNIFcp26EG WW4rhl9vhXGu+RdnzwWMiGiStODBVyJoKT/dYNLizI2UbmaCygRd6y41XUdJvduAETlFbHVjOK17 +mZ/S7Gf/cv3oPNJsB2RW3g/b74yXXYHgyEOQmSEDJnJ6qBHWs94wESWTzHCxTVOo4uTU+jDVVy7 SOCmRYj7fzQT4oVuUCdgmBomLH0//1y2Ek8+CxEAFzHmCAdYhF0KLOh+tM7rSc47uBzMvlmdGyW0 GTksws6N8/vezj+udJLJ+QyYB9cyP+CJ9BkYUjFikyIgPY1LN9cmLa93eX4/ys2LeFRiMOGGiBvl 6tdeRhlfC6S1U/IxN4d9/CJLi/lf4DgIDbPiLwVEb0gzlrpw+V5I4Ew7zwPvslExye1O+dWID5nd aDQF4RRdpfepnZMRixlVQqjMDUdy2YeaPPdcyeG3fGmQVIiqE3KpsvFAZHRnZmuuqBSnucfDEUnS b3JlXMXsmCp74FukZfUj5XiPLVuBNUi2WKK71N4mgQoUNqUBlLfe4valFI6apMro81VSKbCyjqyb 7DuYnwF+1knxvxdBPnbwLrKmRM5fWjnMmGBfZYuIxlkgsgRqy6qvEvwX+rLLt102rQ+MAFE7Shlv bEN5w72lxgEVrWRkiVWtLo3XoGsGszncDUh+7rk/OkQ86ppXQFoIMyjOqEvZowRjjX6b9VgOjIMp Juh4jiyl9d6RTjv8nXH0YadiVDFeWwhZ87IobSxXHEJbhN45+Di4ok8wU1VvcCIHT296sOLWNLFt rmACaJtPk0W/eVy+gWvYnpg7+QGQA9jnzNItxAdk07slA2uUvCqp5bEOJrq1lNP17IUQff4wXGTY v6fjRLKVkKmREPAh7xe9OsAX22uB4zVAEsP+bRNANPd2M/+HtWAnd7Y77JfH/NVUhQZQt8Zti5X4 R91yeXP48SoIjAL200Utdq6WoWm+UNiVeQQIQoQnZLc92OdWPrmh4fNL4rEDFr67DfJpBsvSzaq+ IRT2kfCeOg7tALiWu73holL4a5ot4ww8iBagvbztCbF58A7EpE5WMtwIMTj4ae8tgsYLOLd0nw1T lubZUWKsvZmjaYouMjozwWP3j+iGl520YaD0v1xrGM1oh0QQ3IOmV/FXgRIfSOqB4TZUJr2dI+tl 8fCqzX1gHfKAx4qhQnT77/WCw+nX/WdNCavgpbfYnmnmVZDcobsY0eGLMnNk/ZpasVYTEzOB+IAI L3xznfzaJqpzUVvnoYL4aSElP8CxrwZNHwkZhvkF/qb4t8YeCzkmEtIUfONF42gysCJpYy50zmBK 4igrykLV9l4kuwSb79Q9qot/HhI0BAmgrYJo7OodVEkLV5XWgGVqgqgbHLNFiQgNbn03HLH6wMY+ 1uaqIl0Duz9CBQhM84Vt1WTMdq+h0+regWk1HBRF5EROfWfwXmaQKu0dqWyUcN5uYMCPRpn7NT1i yty+oRjhm6DOiYVo39C21IgzxVFboIHVIo3AyGVojJscy/02+P4oe3U2TerWL7uNI6Bd/GQfvJtV 5xOQfSWdJH800Gu6Gi0U7P3/rvkGJpI99Fmh5uuPFQlkDSkZfcF0Bq0XY5Xon2q1mp9MO8OAkaDz zP0AvphCEX0/sMjAtdDo03YdoD7DFizkFEhHQgkVY6fqOHUbIE1q/3O7VKPqONT9o580+139i/DV baSRC4NrFygCmGKjLzRae7A+27NSMHWo5jlYSD0eqO8Fn0oUMRLgn6NSnE+pN9J47r9GC2VJOvoP 9Zut/T15CGjS+7ajGhW4pnfBuMu8cC90RE+kaaWTOekL6KwVxfvLuh0PsQgEZIMCfSdClfmfHfjK Cqk5YmlpkdGyaoOm/GlXsxtsK7o79RIknojwl7Fn67U+evWIlWBOupWYoiWtuHVanffuNj9wb20O 5E6gdMX9lHL6239gL7vcQ+ogdzPoe6/iKcpKlJvwUyHe8UrmskaAUf6ks53Az2AHkyMbzS+qv/OX pVhhOaM7i0RQmlVTjDowIybthZnkU5/UIH947QTJQkgRui/jwXQOpj316fqYJfl0Mip5WbMLsZHB cfMVKAkwYwup7qlONvG125E2r+D3h4r+ceAlPfLOJAWwSxmqWVshsw+0lJwh3FegB22jt0r6xhEW KxPl5umtwkjqIjxxyoJva6pyFz/1ZXCdsiWN1LumbpoVVTiCRKvoXaSESMfHcWlVy3OllG4By+HY UL1xQ0vtDDDwsb6Z4DgNCFR7NizdrA9PQWvisZs5vlDm1hbFHPR0ITiqz0nzuOOvVxUiuU+xqfJx q737AjSI8e9zblCLrALNoFWkKbc2aLGWKyU3sTQvG8GIdaguLB940J269rLT9sEyHckXcWSbQgQl YwheZ4nGP6L1ChiWAnOrU/qN38B+bH7NpaGQl2Ho70BugxG6I3AfW+Ec/TtBCr8wkvptQh9cVIMN gkRnf0AuClwKZ0rBvbcrtWVdvpXawqyAE6d2CSdVuWSQDxifKZE2Tkxwd+g3wfl55e3fr4GC5QQD qmuI5/C2XSH3CqDDmULplcYEmm7s3HTwgox5tlxuP6paJbLPDz4dcB4N9NmV8EplTwcmyD/kvtly hB/IpUVNg9+Urxj+U+IJgMDGHLdXmP4dytAmg0CDx94W7mDKIPsy/9G5zgNbgeYpNNWm7nmTCODR Vx4V6upIjWeW9JrGyC+7MayZ2PRNwZvyq/G1mcvyOncl0ak65rrY1xenyomvet2mp9MWIka8EUy6 jRSZwsBl/9PGJrua4hf1JCqLDuLYR9fN3yzQ0JgtSXJwNolK8fke2w+N44YsmHa1SKyFtX0B+5TH qJ5vWmNSdeHEfaMI+1JSqOUx1Bmu8CNsr6ekqWCn4lN3+dwRwNcisCxqR6zas/EpwNN4BzHw6nFv nmTJ0hAbkZORngJIKNz3fJOs5LTyyismORjToma1bctfHV9jzQ+R925nL8Qfg3vaiWcdXqs70O5E O8mQzgj7BqL0GWvkmdZ/iS57iG3JvBrOJzKJSYlz7200r/ZzkjCvZ/gQ4UQchUIL20Fn18SvKDin JuAHXZmpc8lgC8dPn8tN5vzkw7SH6YqsnNOhLGff/ff1rU0fNVp/vt6b4T7NpQgk1C4QYp587Aok Pyw9jiLYjpQ9I/edAQXDup9JYlfxtA/oB4J2Kpfvg1fPAMeQl5zCQZ43T0FOsE7gH+MrDizt9Ggb bwVcmIaSz+6RTRg3nb8J03XvP3EWTO/qcdVtyp1nSP0/WgStvi6f4/kHyZ1yi/MJI9jbwtOBa9+L UVavSGlES84acy4NWSf0jqtgfBX/kMs4Qb/Rq1s72H6QQBOD5w6mKFOtluJ9B9TwxXI52aP+2kHO r10kQF+6zDCitlhqhkubKSDg4vC32JagokmFj1r2Iby+MwVNScMiT+Qwt5EIGTutdPhEFynwSHkS N078mlJYrLX2WW6o/EdMDkH1HscrGcu3WSz/2q8VyI2A6yzAzu+TpO+JYWJGymmj0/GD/2dKvM0j 0q0aDzf7jXpHXseO6yZCS/MmhJFpawkRl5OorESQXB7YkbX4S0oHaK+62qf4iDfKwTI/qhjl4Quy bZsS98P3TDKppNQb0CXYtSAJtfyQKb1PhtTtZblpOO5w06DKkBvaDOozlpphnSXHtNw6JS/kJUOl I46xA27FtSvDscEJdmRWmNDZXwOxkVCC8C6nUsaY+BdmkD7KVdtB/g4NjpzKbRXoQ+qGpzD2M/Xo UuIE+XnLX0dyvcZf/fhxrir/hai65BSTWzNwhqIH5Xm9VtTKwMlibxLP6Hkd1Zr9YG/TgjO9qznk JyC0oCWegOn+nFTutpSeq554/wtEdy8KMK38SLGnGJqQEcd3TRlfMHE6q9eVDWSOC6NQiDR5SWop xxKKKaYdllGansuOFNY2iu7y8W1sCrqXv3tfpEHxp4+tBRlCj2/6HfLNHE7lhXVJ4dxQTlQbknZT 86MGpJjVsSEO0SUEu8K5LB2zlaFvtkeXzlxyKzvKF05wIA2aSfBTUNZ6zMXIbB3lSWvz1U02rZbE +lPuChgqAz0XgdSQrbHHhovFl+2KZLhtFkussBnJxiS7m9LyEnvon0Re7xfdKx8LTo+Gj8TuBmWu Cz5fWRURZmG19YolalnwKjHcou5ya1SgtZF1YgFybYxOY+TBb5MIGs5wE1nY0kaql8UeaVmAwSvB fxk7v/S+cH6Rpm5i8sgZ1EwTcObxhOG2Fb1xgFYKb49xLUjDJ75lx/5a2Ic/842KhGdQ+da0vZ6f S+9EE/p0lHtM5FDlfxni1Bi+7g6mPMf3EIpPZ17UFy8TWmeG3aTjUXTtynfiZ/5DOvufsZNVrf/L +MlUqpp64LG6/fOwx6NNf9QIxXnlFuSESOxKSL/+KSME1POxlYwMcPNejJZ90fByaFFAjDJNWeCQ QpvKObNxAU6Pd/noWLvwd42vgNq+ZRTaD2H/PNsrF764UZZK6DwCRxsAPkzHSmkuLPb5bTiBpXoE 38J6P5qHaNfor8u0iVkpJJQlarfAW7X/Meh/8B8PBY/u0bxHTQkjvJ3mpGuheGd7YZ+37DSMPAg+ nixqTPFVYxRC7cHERa++1mzDM6cwb/RE7y+yRlXIJdh+i0wHw8dK335JVf5qAwiaPT09CAX4ANiB YKM6FA/IA5BVBw8gAiqR0zl2bioA2lYFqPQmcMtYq/Y0NEHBaNcAQvmfA+umZHh1WLRYMjDgrIqA 9Rq9MO/4jvtWn3viwSOBWo8qkM9vuXeKuBgpTd2glffThZSAzlTwfCBmLFyQI8PPInLEJ52Qk23L zu1GGagadKbzbgFeVlG5ucuqSj6vluyzNiIVz7oxvJmiG7aB3a9BFX9qsxp2DqhtLrjYRQxc431E Kxtgs50Z+nECeGLIH3UWzWn7JGKb7+3k02REZC2gCP0AVFmy8OO+v8zoWp8qGtfN5fUWnsdqwa/u 6I2LAtyIySnERqTXCnw9qkVwOL5+BdPtzp/JLP1ED72i+VovoM8yEe9VvFciSzzVU5daFrC/4GAu ZKXPB8CzcQtKXK7EFjrAmXs2zUToFouL1XOsCOyHGMB3KQ1eTO6GLxOtjsF8orP0C2QlfrEist+O 5ptGeKBWx/+lV/CZ32+1j5taa5Wf2rj++o0UXXy31NZkCqnM+MSJQvodiTBI06Y8YMXJ7n4M6WTu DYh9+o2KJCPihqLgcsX+5BCY6TV3DGW8TEPb9PaxXOCReSfUGALbiNLOH2SuA+Q4KXVSBiyWtv2h JDXqhPrXEmnE7jTxKRM2pHrfwtQsvi2ZT0NZhuWnuTX7kEFvZ01z3f+aYYTz28HaSJDBCx2DbjUK KWua7F48b6/QHquRry2oo1kLS8fqzcY2FmI1I0USlDfMybKk0KUJ6Pbo9N0WtYuAiR8bHjiqHBae 0ErczC6qvkokOmOTKhIDD6nbyqgEkCGuz+ZpgSNRg633R4XaqDoIhofIvbPvqLKgbhXT5ZOn1H5c qyGhVE2qgZKXaKtWy22Ao2SHfFGzSUYXOv0cLAaWymOXCcEbDIwSMBOdK5yLqep6f1abP2TGuydK IBgPo5ZzwX1OA0robjk/hsm0+g++79nu+fIZBGMl5Q8W0qboTpj+f/Ys8DyG3VP1MMVLEdsgxXwg m3nSgTtp1qxVNQ8d9MabYGnGMi2pDDilq/3Xt0a828dmNnVaK4b6jTxvLIekuq131hhuGxth7asi 3txUY9/oSArZrhJD6+55MHNT8GanmMDq1yJL07gop+ukEt71+wAAZq93y33TFh+vKTInGPWZ0L+2 IIItnbJdMwee28hcTR+4tol1LFfSu1I9H3cih7g8VcRuQdUtWO+Paj6Lz4x6oPXOMIDm1xf1XnnT lPj7+0e0DSHThf2WvlLheTLSpvh7vLqeWzvvx6/LCfaP2cTdquCiM9I9VHZYsITB1cKjpLIuwlEK HGubGUoIOIsYxIs8M9CfxdoSP0H81YwPuqVhWmU9eyHqMKUuOsY2Qjon9+KiFgkiT5C6L/WfsCYx G45rq+PTmLp4yW2KG0gCKJnw6Xl67rwxSX35WyEap65eb16HLJVvKOhUh9ehBS7urxlZpvybX7Cz USD5NLmQ6zy4ej3rCvH0SjlQMJbJ1+7R/lCyiyqaURwta5nhf3tJYcNfVeQnUFBBT+k2GwGZFzgF fTsTjmOv2gwXly91EpMnwOqVwUDfSB3Oyl1k2RLajKMplc9u6gg602UFsZmkuqoq7MyUv75ZTFQl I/ap8xe3iGWKvusfKF4wenLckp+rgaqEMfpHMjPbThO8mWNTeWMi9rwgNB73o9lN2sFA4e14mTGK BgsSkF5O3MG/mSxetbugMm4nOvjWZLIH0hj3Z0Snt/Pa/oTraCYy9fASi8Y/w77oP2ZoJZClGIL2 cRZEoGDycCyW7HC5w2HiHcKX1SarGPlizurJFwWWtQUa1Mg6hnN1AWFj3yvcxG0oW5u5zUrmS+mZ RMpEw7Kjxqq14rmNNB46Bx+A+QahZ6w8qkWfNF6smiemRwUQLOMCwZJldJON6zO5E718xEdWzegd okGOSyq9IxTR+4uoZLpdmJxlDa12jDklVoFGYzFNgZj8bUGAzg4B/nrXdfQ0Hp8IzXPV1g527TM4 vjzFQ4uby1x3KOKcqQz8nGUJeOkdtgkmr9eSABqg7Y8TXZqGWoQ89ZzVL/BrJuux6oUfFpO0me0L RUSm+Z+dkkGa6VWq4TO6Uhr/lSsx8/dpMGrkWrGsrovtB9tfFBSW7vr9jAbd1xOmZ/YX7qvPwUsl vqtEdp1ohW+457PTxzcJWfLhANgbsDPjz4Y8IWTbcBMaa2riz9Q2uCj6VWTmIrcZK/1PGeg58v6O em2+bfwk3nCKOwewW3txDjYeQ3leaR78iBrken1zKuwNqWzO3+wAsBU0N/HsvpdxlRrJ1yYmB++e iV/6Mk1kKznm39QEQ6wVGx0oAgYeQe9vpeyScVb30zE0TrHcOKtJC14roituOK9GFSU3++9RDU7y KoxhyAOfkMk3FHzcr/+mMwgtHCmxF2OH79/J5pKa47srSmeQBqMKDTfMWNJOc8bbYuzO+RsMiiGK ySXssvZ+gWgX2x47Xg+lNfeUnbGQSD1e7l5GH4KOw6S9GtT4sdBcCJolbPejKKoPkuSi0mY27FWK tMVFpKq8M5NZ5JN1Mw9XoRzhZ9HbGx7oEDrH5dw/e9UTOO8O0gxLCyrgEr8aT8R93JzIdQRKZRzY d71Rf8S51fXB//wSGII/tiIF2C5EzrOuN8Sq6aexb4t9k3ep5RnzfzaS2DtapqIChm1A8XdKipDt xl7zZ8/bb/rZyEzOzt7yxNeP613HClyzv3BLqAFRiw27b+MrQ6BXnT3i/FLFlZ8PW9M/QJffKBE3 92COQqbwqe/ajWSa7pG789eVaQTzpJx6xKGLZ3V+F3bUNhk86aQO3C0S635JKYK+91L6YUo3Bnf9 F63eJiSIqKnE5Woz54A1CUGrL+gxO2ctivBTAHiwZzTCuqW3u2q/zaL3GlDBRw3BxYWWphwHxs3k 8JX5y4OiVsRMuVxXOgJEVAiN5ouYf3Im43HhH6wEM6QsEtj2Gmeyqp51+3SKvpJeFTofsj0bRKF8 EQ23NzcuwnNV8/+jpYggUXLFHJgPoblilNBFNJ/Fdj7lpoudJgNFqxx6SIQSBxX2Q4k912EIz8sy K3Aqo2pKeLJzd37aN/AHDXOhSNfES+qhX1Cc4hOnJNx7YYTxVblGgzT3wnci4yrDgRG449N/erE6 0AJqlkQ9OX8TNgHtb16KWs69mtWw4ZY9gMgslW8J/Nb2ETVD5jG5pyXGaDh+6an06D4LleAGcKuR dMPkkIzoQb2npHH7E9dZmNDhscCsjiTfa+umwSegAqGdxb/WLF48J27SiBRZ1PzzzQPeZdmA5MCr vc+LutJjLhMqz7TXg0OsWnlOI5l+9oQxYxed4Uq2WvoM3vyxULd7kRLExrm7astnvlLkuuUSoTZ9 01B6xvrjwOAMh8oAgNy5WD1NPcvqvrH/DGD+hviNO4tpwqun4V9Y8H7ftKB0wd+fH+jO0+N0Hler 7VLXZSO5BV4BjKloUXGQf/H857Tr4ZQTVJ7VBPrWwJuWDiQassUoDtfZFEC/wh1IKE2NSbNAlAxW UkaoA7pJCldC1gyRS+wzYuFR9NQd0LKzhWQsbUoT/2QoVLwYIlEJED8Cyf+4REilQcoh2AucSqg3 5GXKk3iUF+tX+OAU+/XMGAagTDV0QUEs7I8B+qw5B2o5JcWkkCR5Dmh6aaaTZpI0/X7H37bgUACn U6d08qUmn8xVwE/RuYJidhoteKJe7KzUufye/qfJTCRQ6Ld0vQdJskfly4+WOKV09PNxpMhR8Zed Paijp4nDVEDgNQcQLhxhOJLYCzOBX2rzZX3yc/2v4V0yxxOOjVJaQ96jZ+VBaBjJ9VQWKcUZXtB2 VHID2V0bVy55NVUuENW0bQwOS79NBPBLxXdLed+ynYkTCjLY+dxBZ5ee/E6kcQb896p0MST7O/hJ onu6uxblDBDqoUID+2FQjv9GsmUI3wYyKJUd0T/u8DbQ9q+EgMHNF2VmGYI6Fhrpi3WoytbrVYWE jBiCsdSvUtSik5z5alofTLYWcdYRPXvfXUJjTfNp7d2vbGYh35NoDrJCfDaN/Asi+K1nKL5Eaum4 xLteKS9S3LjrPDmF1Mf7ySXZJxk4pD9WCaITkrYprKGk7Vo3+2GDjpzwrfCYihiv5Nnlvq9xobSt mUqfJSWQje54hdh6myvIcqWSXMumYALSPEv1VEcujGUDXBBJCXm/EsXCZ/bg6UnPoQuDb8BHNW2b dlJJt13g3lgavYtuy0TakjUEz3/8iqMVxHtKq/3MEOSIrBAOA+ShIU44KnngcRmE5LEa+poAlRGt alL2d7ljU1O5enksRYxARyDncIAr1Nr+Wy3gVnYb9o5FaPM+Nk1tP9JVfOyQ5LwFmJ9Pj+s5seqT s/OJ2RDzCb6kQy2t1jui1nN5iZaKtS2Aoob9HVPfk/KBF7u7Q0kbPfR62YBlwftH2xzBFpN3Ro16 e7Bw4OBQ4UkpwQlMLsZGYBZctt84oR8+eih9eS4RB9GyB1BdJPozQiD0xU63em/7pNtHOjAjyHq9 9i3OX3hGWxXW4lz8Bvo2rA87QEUYMTMswSydCk/hWlBQ9O+MYL4YbVL+Rl5O3coqQBgQB2A112Iq OQgebUOQa3KhEhlsQ9BgDIrV5RXoBePxBJK7+HeKzKqSdQav/bMd68du3+8MvCOpS8EBmoO3BHj8 esZPKEVHznseB5qLjYc8ROU+uVi/6UeHf+4jw8RouxkfnzSKavS8H4rnnMgbeVx1H3Ptn0u9EAaa 3MGSaKa0tVUPL+eGC5wD0P1xID/oYDxNQnkCTfzaCPA1VLFvSpMcuEmxIJV+xR1HreOZB6jfRe+u Ysx0uko7IG5knPS52pQTdv6gJtbcZOAVt4K+x60Xarx4ISaWY+XiGJrRqJXmesPL2x5C919gbR5f T1LZ7L/7QRUZsbXCDGytzH6iFjU0mVYf24HK8f871IBXVLLEKo2aJIRBn8pf+ervgsPh+5X6CgeR TefRW+2gMbPzIaokNTzqs9HPu0Voyix1a+w9pwZM9on8bUY7RT+2w+Kdx5sFWF2F562cQON/E3Nr +fKMvhuuOWbE9rd+1G3PLEp5YbLpEpPu25C+wRQcsTAY9hVgbFzspe4AKi/cjdOm/m9hrsfjXdAv OvViwy/bJR1z2+up2EGB9o22ZVZnsvErs89s5bx+at6suX2xaP50hV2xb3r/00m+hG/eqJwNf9PZ K43w7zBZLR6Sjcqd33JAgE+PoAupxei0jXw91IJBEDd8l0pyKZxaM2DKft3YhpExwsTLDUf1oZ4o hA4NXLAgMRTP1dZBu+O2YKJSk3EmffqouSXqpX7Yt6A5IiqAdxnm1BqOZEXtUMbnv487rIg7Y8MO JHSWIUbfamxO30XKEWeyS+4jLUswZ9VJK3M48YLCsYTY40OaHySHhm9BxE3yxnpE4Z01dd89UaRs fCeZjVIspc5dV6o7hT18BEhYA6p932/AJ/xchUAf9+lEjuX7E5s4hF9hzhl+tv095MpEimk7bthU ZlfzCpbRIJ5QBUEjgO2DPgduWRFPy6eiunsxf8/11UYnoFULpfZDqbHg7d/1aYk4WyQUy2awch6i 8OUzo/JUrrq+UBu16kafM6jreJd4ZDrrRUvtAKVtAFvAziDZcLf8dPEx+UOKUxT8Ejpt3+qQ3fx1 IAbexjXBvwbZIt93AZ6layvj5SH4wAl5q/Lynfx41aZPbhTGsVQ9HZCbt93le+ENuF9X9yqBOBjf evklRIP1tOtA8yVYiBrMZKNn2fPgUkJZsEZMNAMrbdc8pAtX9CfHDn7TZADnyZY0AuZtoUgu9fGb D8wPQZSvMbmMuarUs0RmXkwjG5k7ZnORh4mtVxt9bv2M1AJeOxM4+p4EawUGwGp25enJClcJQL7Y fsAz1f5TKmlPFyXm1bOJLFAoG8ZqfZn+LkXVb0nmzOTYgJ5aRHqYLTwr9VKCsCOEuZtbkZBJwY+X UD5ywogReZKZl3NaHirEAKIVAWJR7SfstXvCe9LypWNPo99wNjzHltLPcvrSIRFf6FH81t7W5iow t438R1tdpW/nHJNhxnnTihz6Su2cBdq9PO8eNrpUkheAqDscfsO7gSMdiK8ZkZggHlGAWQnWyIlQ 3U5n7Z3yJZ8pue2ZFxbAe2wtTQRbSXc3U7NQysyVDjH7z38KLJXYbBsyIB50VwKaVZ66KopOdsu0 iV6JPTq/9VMET/fqnvOVgUBSx7tyLXumkMT0mYZsPUf5jihLlSOfnHu12fdUVEi5D5sag0fdZ7a2 buBQARPUY/DijO+6jVNJR0v37gbkF9HYe5icAvBe3+SMdWheX3tS8TWKw9WvAYXmGPCg6ZMFmhEt hbdiKBaPn8KZv4pSsHSDRRRHTMJJeI6sNxD0HHVwK7j8L0uLFK6UCo1aIrSPSeJBanui1X9t6am/ KBZuG4gb1lOqXh8icpsF3xHTuzRSIeHn2MTGyQvBmCJOc5EirRx3cMWRGyLAMcjVgNNIGGxspnnr JJuSCSyIg0Dfhcvd2OSgHxrBahAzOw8NgJZ9tVrCtqXbuCYnubrKjhg7uqZyqbm8miB4+k4YrHKG JxNdXaU42OxULKadHP1ilPSElOP0KwNJ2rbSeqhoxepdcX6EHc8Iil1tobmBusU+TznuwWYhZGqP kaWZh+M1L8zbeAdFAidIFjFTiu8bSLi/Gjzm76OatCL5+KMdJ7DILBCcIBj3XuzbGmmNgaI4yfwX pe5XXT6mHffkTVP05zdSL177QLlmKiOD/tBpEd/8O0gg3wKpxXN6wFUp/cL4zE3hZa32cgvm8AUK b3QQN6lP4WZhRFlNheLp3/1tyNWBEVrL+w7InpP4qBdxn5388FUFOh2vNWOL6/6bYwWQqtm2lAXw bMaUB75jb4115boDGQgxzXewcIVlpC+hIpnBTj3FGxSH4TkuoIgeKTH5eDwpcT0/RXvoM/TN6UgW 9wBwuoDCRcQKhZ5nh2niVLFEPh7zIk7q29a1+uCoi+IPa24B24WR8w6MdERsOoevKCimQwha+oe1 pkCDRiv3qx9GjbKOjqMzN0YZd8W4LwVzLsUXNWFf4W3CE95OsCQMjdzSL9ugfZKCYai3fZWUtgh/ 8CSLaKQ9UNRvW7dDNyxdgzT6lSYgn4v61yOgfKaRvcx1iBFxRrdhjmx1pwD0QUGTAT2jrej3gEYJ jWPVyStKmB+6M1XRhZAOZq/L93RyrIta8CC5x87nHoW6ArBXro47XNLkKV9TnlB0K3oiwPld/WnT hRVUelOKqI5SKqv4UGf5zEF43cGeIZyJkxFBYG4WUkhCisNZoMEghds2ftO+/L5Kd3oM1X00/0+q ofEQ+Nk0bwJJf98zLqvi7YIX7ol54DbrEBplUJeMh6F6Ql9bt0mfl+dyVaQJAQ8PBxE1In23HVU+ sCQTrBdSf8kM68yp3Z3ZmaUmI2B7xuiNxjOTJvHmxF9XVBoCcsjgyMu1Imo/auUCL6KNSZpPWQ+u XFpzjhyw02sgzqT67E9DDgVDUlr1MYOZPrdj8kTDOSdjxm27wHu4BFB/+jXIGAG1qaWMm0WFR6ET hLKnt3JLUW1E+y0ACWvU2Fsi166ZzVcUpqYnl148GY5jgAvl3bRMwjeSfZOI34A7aebelBq5viOP VaX6wueOotzEvzcQVFk3oY8tuwVHqZnJLWYUfABO8BzP0ci5xDRCGnpNGtCDsghTjSUMnQ0XeSxC FrShfrNy+02qyBkbXPr9OCbkivoomkYBfrkFRwkqfNprKzAmwURDY69kMT+EkM8QX4fKFR0/0u4/ psCOl0skpi1k2jr5QxmfA2RfQ0q4Q2oprLTI+cBAf8bg/1Mbek8DCWWhbRNJJ+2zSyqlHOzkDZlu 19H03O50Be5dchBiojsF85L6mquCQFnB5Kxsdfuu1VmP9fjpifoEPWKlMT6pvtA53kGo/SHwocy1 EcRc5Gydc+TtfoYQ+G5x5Tg62xd6s4VjJ3i0qc/7U07qbe8iinVsisDkDLb1CvSpRLjkoLa+EeTq rlm2bWeM10ydlkFMVeh+cy5dM2t7jrQ6J7j4syCJTW8C3axGYPNpNa3CDzvn1vEyVKw1odCPUPvT UNadM9A7Gcp1B7lasN+k6B1uY/in8WeVF5kWhXSKiIbepfs5L39kodTKe47t4/vkhuLEJS5Bi+sx k/QohynYJiNxJhzsnTBOyu4z6r8PF84KFfroohWqnANZQ3iTrdZqX08h5T1GfEtohrITPFrxx9zI XEdSOOoKF4dXWywczarPJQZSvmyyPEmkyCu3Gyi7hKI9juVlDBVLtOHANy759QlnubdGPXb/403k M9zGKqunqlWWp9uEMiMpyYujtWT2keuz9VnmofTO0lzX8ENi9X/Q90zPLD6u+3uYLIkTOxrMXZtS tflZvEhRGeKCT2rE93yK7W01+fgFTt+UORt/OGqdcFob0IxV5b+olDLAON47LvyId2dE/F9gHHyK EWBaJ6Fq2U+WoYVLGWg2vlboZxDXggne2GV6RBxrCbeZh/5jCVBKPJNB8Q7Wk8uaWJYKj1QfCzoS fbCrckitx9V0pu0jgeKZU5wQChYyCEbwI+hxOZrfdjDlot1JrijciiS2KvmnQHU5SuXhK4T3yUsD DdBM2tI0RZ7MOh/4qad5RKeUEFcxt6e/WxkF42Ou9oYUR0X0rcY1fdkJqLgSANZggw0qTOpXSndv 10uB3PowWC7JTs/IJZIPJ2bmLDBSVv12T1AC/gZr+UYHjjH7US1a/neh8+7GvJzBgb0fCNVp/10/ b63xk/Rs9smuKGuCGgE7D/uX7O1diUzENKcrorUuZwcfj465K+Zdj6oSlHGbETnMORwd2w9g8lIj BY+Z10q+FVUIn9Zep/g0jMhe4C2pdzCgUiXsviaWQFRzCgKPDhTsXv1K7J9v60sKvp08q5we5rSi 7SafDYVDaA/OV/7tTbY/I7qrVkMZTTVk0FG4pMgIXnOdXpfmijjd7wZbUa+KBSz4L0rngCcrzl+f 0aYoXlwrHMFCwEvXL628WB9F9rTePMcWcp4265RNI5oXsmgovlQhuZGaN40wlXLPkUW8RuXrt4aj PthX2U1ElgbJMPUUailGDUxcJOV+HKiVTxINqYStaJoQC04piBhfuQF2GFfL3ma1GGtJK9MMuTSm Ck5F6BAQYL6b/z/MB8J7Qz9aXnGFjlZJR+E+Yyd7Fi5g31/iJUJSCFaWL26EokMD9MB/80nPR26z u24VdeqmcypvM4vutAV/yPpXyzRCYWXrHQBvEKnZ0DebH1k53IMmxMV5nXQHEc68sVGTI8sTjSl5 +hjB1IqXD2cr0PHVCQ+7NtWQoMJWyo+X+YLG9u5QtOwcnR+5fLO5N4g31rjDO7mkWQlaxhcF9ovJ 4EgFmY3nuu/anKyMnIM4/NVRZOa2YgeEwnFdgCYgLBK5H9lRfcymMMAg/nEJB1sx4NoiTQZPghV6 emgfK/gKI2MnpmffQPvmAFT3AYOMn1tZrNvab6RW0gNF0KDqfczDxCSBxZ42FFQP9QINGq0xDzlZ SjOULhn3FQUZY2JC3wp/Geb0fDdEShjYMB6ZKsrnnaNHSDxXX2fXac77XF8QMNDfJpnRxAPKCmns lCk5EFEfSsMMOL3MjsfCsUTjcrLZa9yRr83QI4usYOChT3v+a1SBr6kK3qiphE00B7VgrKRYZwLG 9gSuJMg8B7lE+jJUxJK5502obHsrq9gGsteYreiQFwDbcKEXu/N3G9XMCPu5FoXpksMTeQdfOsfT jaAdmHSygqPYRxkfVUTlbARwQjYtEPCmhr+KVXKKafjUb4Exc+R+DEvn86G5qwiBTp8tHF88c2bF c9U9LwMc6G+D+IeDR7BM+dfr3ktqhHBRM2yqENEEyi3s+MfTt+LgEwL012wRwZWO7cFT1CtpAJ/a lw2VSxJUCeyLsyR9M+/5MESqvG6soqryem7cw1LBlx+uKb7HcaDHhEG9Qnpjf0SGAtVIHZ3nRYqk 8rDi0w6LS1U3Flhf9WmZECgUfIa+WsgiSovd7qTa23KmVCXILzUClNrqhryJCTp6v08JGTV/Xzss CTIfBe3VWmzkizMbbpagcTnIeTFrXMBDD7d/hgaIIZnBdvxbFgqVZf4sGGJUhMPMMjZiFCCQyU4s CRKlrPNppUGtLBTQh7zPB55bp9rTcLf0ezfwNfOjKteySm2+Us07iKaeXQM+3jY78nJitKL7c/3T PqIzPAQeFVDGI45CSrmhmxXbS4gXiEk4JLG5QZFKnL3uhGgXvhlVzVBgfUGtHDZ5VDIEaAiLKUlZ g+HmBJUv0DKc+fPnn0v5M/ixkS6cjekvd7lgn/XGHPs7GRJfIYaZcuOcTHG0HgrekjhLTAnEs9kn EYvVHw2mb5+kYt2kwJPdTV7laWj3NWV10Ayo6HkVCyRMLecpQ9fll7kvWOiVtWyuPIAxZVcmIygf lZMFbbtm2HbzLAJF2ZDSsfJiuHeqd/feKoo25PfFyRc4+jiB/bfioqR78qxG//Fma22v5BiLbUjV /nrZ5fSGt1bUPP5OE9qivpTBhgzzkYDdaUMGghjeQdG6M4801N3wt/kbXRSI0YdlSz2oexNFXkTM JwUNoi2TwNs6k5e9lG3xcai5hyH1ro1TvgEE8X0a4JU6jlYs5tpjwA/WyRrXjRj/GCTwWObTjsZF I/uDuQeSg4GP1l0mQ8bEG4vd5lQ7cgEVpOzmOgPHL7JndQenvbeTh1C7sha099shxiBcEQDgjUTR ObOiAuerH+UDplxF2CFZ0MHEQRpIW7S3AubhzUCOfHlDW6yNKVv+ramfYcgo58akihomba08Q4UI P0fMkRgqvCS2VWr9O+sAbAFgKIStxv5YYVEjGBzs01Bnry90vcNWiWGWFwyMFmh+jBkvCpi4Foov bVlOQhsTqnksyJQkpgsF8jwxIUtC3bM2XU8CgLasQypmrQYXNZk+SSADxGZE3l4w1HIIH/e1LpK/ hlGug2Wbnc9YOdUvvT4wVF+qv49V5P6svhhkkR4swgFYC/mcQ7pY8Z0El+Gokds8aviUjvmE8yX0 9nbv3cHXvb+8Dc/wZffjiFiDC9Vab+FOTsH3Tm0GGQOC8Jlt5jSDsMGC9UXLzFpvLf4Qw6awyVaM EhFTY+eqhIm1cDxDyqOn3JLLQ8DZik+cAyWHf609NOsE+eIDJNCF9kaKwyng0dqouHErJZCltoKI 3QYlLbNtSHADLQ/3Tp0PlohQqCfjU/9YT2EZ6Ih4aLiI2ljRlqQrPvYVQemklp3+ZtXBS/bjDHZw GRmdTUoJPPUgaIjD87HWpdn0pVgBj0Gcda6gWwgdVGlloV/MPW+uEyAC5OBiu8MQLOmBbdNE/H6q EOUL0eBFTedbAGHHPN12VdYUqoJUMrz2sP5wLzRHT+l3nZaYuv/M7S+XsICXkt0dkpKAdVSL1aPj ovaYD8fQ3WVjWeih2dtfTFxmOQ10S4nERcETFRj0rpuVpB3i4Z15k50K349BdP+5yfI3wIqFz78h biRQd5Hb8+IqIjQCEWsi0jz9GvAbzO9RazSZ/xB/G+Bupw3zL6VCBGZjUNew9kumnF4Z47j/Tnl/ kbwJgZeccjKSiOh7XJzjALFGBfbJFZZFzU9pKdjwXDWu6zjMjlw5uuokt0A0vJqgt5ik1f0WG5oU CXVgtypO6pbL//w6eI02k0H0vN7gLNOLP0tU4qpmp05zlloPV3mUYkJ+f2PGluzjU+ZC6ujNMhQB aoCe5RWYLUjy9RxH6DmwSiaihyOcf0fOqaQN8wwXsVKDF8pPPn0gEMD+Zg== `protect end_protected
mit
MiddleMan5/233
Experiments/Experiment7-Its_Alive/IPI-BD/RAT/ip/RAT_slice_12_8_0/RAT_slice_12_8_0_stub.vhdl
2
1302
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved. -- -------------------------------------------------------------------------------- -- Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017 -- Date : Tue Oct 17 02:50:13 2017 -- Host : Juice-Laptop running 64-bit major release (build 9200) -- Command : write_vhdl -force -mode synth_stub -rename_top RAT_slice_12_8_0 -prefix -- RAT_slice_12_8_0_ RAT_xlslice_0_0_stub.vhdl -- Design : RAT_xlslice_0_0 -- Purpose : Stub declaration of top-level module interface -- Device : xc7a35tcpg236-1 -- -------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; entity RAT_slice_12_8_0 is Port ( Din : in STD_LOGIC_VECTOR ( 17 downto 0 ); Dout : out STD_LOGIC_VECTOR ( 4 downto 0 ) ); end RAT_slice_12_8_0; architecture stub of RAT_slice_12_8_0 is attribute syn_black_box : boolean; attribute black_box_pad_pin : string; attribute syn_black_box of stub : architecture is true; attribute black_box_pad_pin of stub : architecture is "Din[17:0],Dout[4:0]"; attribute x_core_info : string; attribute x_core_info of stub : architecture is "xlslice,Vivado 2016.4"; begin end;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_prog_rom_0_0/sim/RAT_prog_rom_0_0.vhd
2
3243
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:module_ref:prog_rom:1.0 -- IP Revision: 1 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; ENTITY RAT_prog_rom_0_0 IS PORT ( ADDRESS : IN STD_LOGIC_VECTOR(9 DOWNTO 0); INSTRUCTION : OUT STD_LOGIC_VECTOR(17 DOWNTO 0); CLK : IN STD_LOGIC ); END RAT_prog_rom_0_0; ARCHITECTURE RAT_prog_rom_0_0_arch OF RAT_prog_rom_0_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF RAT_prog_rom_0_0_arch: ARCHITECTURE IS "yes"; COMPONENT prog_rom IS PORT ( ADDRESS : IN STD_LOGIC_VECTOR(9 DOWNTO 0); INSTRUCTION : OUT STD_LOGIC_VECTOR(17 DOWNTO 0); CLK : IN STD_LOGIC ); END COMPONENT prog_rom; ATTRIBUTE X_INTERFACE_INFO : STRING; ATTRIBUTE X_INTERFACE_INFO OF CLK: SIGNAL IS "xilinx.com:signal:clock:1.0 CLK CLK"; BEGIN U0 : prog_rom PORT MAP ( ADDRESS => ADDRESS, INSTRUCTION => INSTRUCTION, CLK => CLK ); END RAT_prog_rom_0_0_arch;
mit
MiddleMan5/233
Experiments/Experiment7-Its_Alive/IPI-BD/RAT/ip/RAT_slice_7_0_0/sim/RAT_slice_7_0_0.vhd
2
3205
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:ip:xlslice:1.0 -- IP Revision: 0 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY work; USE work.xlslice; ENTITY RAT_slice_7_0_0 IS PORT ( Din : IN STD_LOGIC_VECTOR(17 DOWNTO 0); Dout : OUT STD_LOGIC_VECTOR(4 DOWNTO 0) ); END RAT_slice_7_0_0; ARCHITECTURE RAT_slice_7_0_0_arch OF RAT_slice_7_0_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF RAT_slice_7_0_0_arch: ARCHITECTURE IS "yes"; COMPONENT xlslice IS GENERIC ( DIN_WIDTH : INTEGER; DIN_FROM : INTEGER; DIN_TO : INTEGER ); PORT ( Din : IN STD_LOGIC_VECTOR(17 DOWNTO 0); Dout : OUT STD_LOGIC_VECTOR(4 DOWNTO 0) ); END COMPONENT xlslice; BEGIN U0 : xlslice GENERIC MAP ( DIN_WIDTH => 18, DIN_FROM => 12, DIN_TO => 8 ) PORT MAP ( Din => Din, Dout => Dout ); END RAT_slice_7_0_0_arch;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim/FIR_sim.srcs/sources_1/bd/design_1/ip/design_1_FIR_resized0_0/sim/design_1_FIR_resized0_0.vhd
4
10444
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:ip:fir_compiler:7.2 -- IP Revision: 6 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY fir_compiler_v7_2_6; USE fir_compiler_v7_2_6.fir_compiler_v7_2_6; ENTITY design_1_FIR_resized0_0 IS PORT ( aclk : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0) ); END design_1_FIR_resized0_0; ARCHITECTURE design_1_FIR_resized0_0_arch OF design_1_FIR_resized0_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF design_1_FIR_resized0_0_arch: ARCHITECTURE IS "yes"; COMPONENT fir_compiler_v7_2_6 IS GENERIC ( C_XDEVICEFAMILY : STRING; C_ELABORATION_DIR : STRING; C_COMPONENT_NAME : STRING; C_COEF_FILE : STRING; C_COEF_FILE_LINES : INTEGER; C_FILTER_TYPE : INTEGER; C_INTERP_RATE : INTEGER; C_DECIM_RATE : INTEGER; C_ZERO_PACKING_FACTOR : INTEGER; C_SYMMETRY : INTEGER; C_NUM_FILTS : INTEGER; C_NUM_TAPS : INTEGER; C_NUM_CHANNELS : INTEGER; C_CHANNEL_PATTERN : STRING; C_ROUND_MODE : INTEGER; C_COEF_RELOAD : INTEGER; C_NUM_RELOAD_SLOTS : INTEGER; C_COL_MODE : INTEGER; C_COL_PIPE_LEN : INTEGER; C_COL_CONFIG : STRING; C_OPTIMIZATION : INTEGER; C_DATA_PATH_WIDTHS : STRING; C_DATA_IP_PATH_WIDTHS : STRING; C_DATA_PX_PATH_WIDTHS : STRING; C_DATA_WIDTH : INTEGER; C_COEF_PATH_WIDTHS : STRING; C_COEF_WIDTH : INTEGER; C_DATA_PATH_SRC : STRING; C_COEF_PATH_SRC : STRING; C_PX_PATH_SRC : STRING; C_DATA_PATH_SIGN : STRING; C_COEF_PATH_SIGN : STRING; C_ACCUM_PATH_WIDTHS : STRING; C_OUTPUT_WIDTH : INTEGER; C_OUTPUT_PATH_WIDTHS : STRING; C_ACCUM_OP_PATH_WIDTHS : STRING; C_EXT_MULT_CNFG : STRING; C_DATA_PATH_PSAMP_SRC : STRING; C_OP_PATH_PSAMP_SRC : STRING; C_NUM_MADDS : INTEGER; C_OPT_MADDS : STRING; C_OVERSAMPLING_RATE : INTEGER; C_INPUT_RATE : INTEGER; C_OUTPUT_RATE : INTEGER; C_DATA_MEMTYPE : INTEGER; C_COEF_MEMTYPE : INTEGER; C_IPBUFF_MEMTYPE : INTEGER; C_OPBUFF_MEMTYPE : INTEGER; C_DATAPATH_MEMTYPE : INTEGER; C_MEM_ARRANGEMENT : INTEGER; C_DATA_MEM_PACKING : INTEGER; C_COEF_MEM_PACKING : INTEGER; C_FILTS_PACKED : INTEGER; C_LATENCY : INTEGER; C_HAS_ARESETn : INTEGER; C_HAS_ACLKEN : INTEGER; C_DATA_HAS_TLAST : INTEGER; C_S_DATA_HAS_FIFO : INTEGER; C_S_DATA_HAS_TUSER : INTEGER; C_S_DATA_TDATA_WIDTH : INTEGER; C_S_DATA_TUSER_WIDTH : INTEGER; C_M_DATA_HAS_TREADY : INTEGER; C_M_DATA_HAS_TUSER : INTEGER; C_M_DATA_TDATA_WIDTH : INTEGER; C_M_DATA_TUSER_WIDTH : INTEGER; C_HAS_CONFIG_CHANNEL : INTEGER; C_CONFIG_SYNC_MODE : INTEGER; C_CONFIG_PACKET_SIZE : INTEGER; C_CONFIG_TDATA_WIDTH : INTEGER; C_RELOAD_TDATA_WIDTH : INTEGER ); PORT ( aresetn : IN STD_LOGIC; aclk : IN STD_LOGIC; aclken : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tlast : IN STD_LOGIC; s_axis_data_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); s_axis_config_tvalid : IN STD_LOGIC; s_axis_config_tready : OUT STD_LOGIC; s_axis_config_tlast : IN STD_LOGIC; s_axis_config_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_reload_tvalid : IN STD_LOGIC; s_axis_reload_tready : OUT STD_LOGIC; s_axis_reload_tlast : IN STD_LOGIC; s_axis_reload_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tready : IN STD_LOGIC; m_axis_data_tlast : OUT STD_LOGIC; m_axis_data_tuser : OUT STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0); event_s_data_tlast_missing : OUT STD_LOGIC; event_s_data_tlast_unexpected : OUT STD_LOGIC; event_s_data_chanid_incorrect : OUT STD_LOGIC; event_s_config_tlast_missing : OUT STD_LOGIC; event_s_config_tlast_unexpected : OUT STD_LOGIC; event_s_reload_tlast_missing : OUT STD_LOGIC; event_s_reload_tlast_unexpected : OUT STD_LOGIC ); END COMPONENT fir_compiler_v7_2_6; ATTRIBUTE X_INTERFACE_INFO : STRING; ATTRIBUTE X_INTERFACE_INFO OF aclk: SIGNAL IS "xilinx.com:signal:clock:1.0 aclk_intf CLK"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tready: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TREADY"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TDATA"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TDATA"; BEGIN U0 : fir_compiler_v7_2_6 GENERIC MAP ( C_XDEVICEFAMILY => "zynq", C_ELABORATION_DIR => "./", C_COMPONENT_NAME => "design_1_FIR_resized0_0", C_COEF_FILE => "design_1_FIR_resized0_0.mif", C_COEF_FILE_LINES => 35, C_FILTER_TYPE => 1, C_INTERP_RATE => 1, C_DECIM_RATE => 5, C_ZERO_PACKING_FACTOR => 1, C_SYMMETRY => 1, C_NUM_FILTS => 1, C_NUM_TAPS => 63, C_NUM_CHANNELS => 1, C_CHANNEL_PATTERN => "fixed", C_ROUND_MODE => 1, C_COEF_RELOAD => 0, C_NUM_RELOAD_SLOTS => 1, C_COL_MODE => 1, C_COL_PIPE_LEN => 4, C_COL_CONFIG => "1", C_OPTIMIZATION => 0, C_DATA_PATH_WIDTHS => "24", C_DATA_IP_PATH_WIDTHS => "24", C_DATA_PX_PATH_WIDTHS => "24", C_DATA_WIDTH => 24, C_COEF_PATH_WIDTHS => "16", C_COEF_WIDTH => 16, C_DATA_PATH_SRC => "0", C_COEF_PATH_SRC => "0", C_PX_PATH_SRC => "0", C_DATA_PATH_SIGN => "0", C_COEF_PATH_SIGN => "0", C_ACCUM_PATH_WIDTHS => "41", C_OUTPUT_WIDTH => 32, C_OUTPUT_PATH_WIDTHS => "32", C_ACCUM_OP_PATH_WIDTHS => "41", C_EXT_MULT_CNFG => "none", C_DATA_PATH_PSAMP_SRC => "0", C_OP_PATH_PSAMP_SRC => "0", C_NUM_MADDS => 1, C_OPT_MADDS => "none", C_OVERSAMPLING_RATE => 7, C_INPUT_RATE => 125, C_OUTPUT_RATE => 625, C_DATA_MEMTYPE => 0, C_COEF_MEMTYPE => 2, C_IPBUFF_MEMTYPE => 2, C_OPBUFF_MEMTYPE => 0, C_DATAPATH_MEMTYPE => 2, C_MEM_ARRANGEMENT => 1, C_DATA_MEM_PACKING => 0, C_COEF_MEM_PACKING => 0, C_FILTS_PACKED => 0, C_LATENCY => 15, C_HAS_ARESETn => 0, C_HAS_ACLKEN => 0, C_DATA_HAS_TLAST => 0, C_S_DATA_HAS_FIFO => 1, C_S_DATA_HAS_TUSER => 0, C_S_DATA_TDATA_WIDTH => 24, C_S_DATA_TUSER_WIDTH => 1, C_M_DATA_HAS_TREADY => 0, C_M_DATA_HAS_TUSER => 0, C_M_DATA_TDATA_WIDTH => 32, C_M_DATA_TUSER_WIDTH => 1, C_HAS_CONFIG_CHANNEL => 0, C_CONFIG_SYNC_MODE => 0, C_CONFIG_PACKET_SIZE => 0, C_CONFIG_TDATA_WIDTH => 1, C_RELOAD_TDATA_WIDTH => 1 ) PORT MAP ( aresetn => '1', aclk => aclk, aclken => '1', s_axis_data_tvalid => s_axis_data_tvalid, s_axis_data_tready => s_axis_data_tready, s_axis_data_tlast => '0', s_axis_data_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_data_tdata => s_axis_data_tdata, s_axis_config_tvalid => '0', s_axis_config_tlast => '0', s_axis_config_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_reload_tvalid => '0', s_axis_reload_tlast => '0', s_axis_reload_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), m_axis_data_tvalid => m_axis_data_tvalid, m_axis_data_tready => '1', m_axis_data_tdata => m_axis_data_tdata ); END design_1_FIR_resized0_0_arch;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim.ip_user_files/bd/design_1/ip/design_1_dec_to_fir_mux_0_0/sim/design_1_dec_to_fir_mux_0_0.vhd
1
3444
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: noah-huesser:user:dec_to_fir_mux:1.0 -- IP Revision: 1 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; ENTITY design_1_dec_to_fir_mux_0_0 IS PORT ( DecRate : IN STD_LOGIC_VECTOR(31 DOWNTO 0); Mux3 : OUT STD_LOGIC_VECTOR(1 DOWNTO 0); Mux2 : OUT STD_LOGIC_VECTOR(1 DOWNTO 0); Mux1 : OUT STD_LOGIC_VECTOR(1 DOWNTO 0); Mux0 : OUT STD_LOGIC_VECTOR(1 DOWNTO 0) ); END design_1_dec_to_fir_mux_0_0; ARCHITECTURE design_1_dec_to_fir_mux_0_0_arch OF design_1_dec_to_fir_mux_0_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF design_1_dec_to_fir_mux_0_0_arch: ARCHITECTURE IS "yes"; COMPONENT dec_to_fir_mux IS PORT ( DecRate : IN STD_LOGIC_VECTOR(31 DOWNTO 0); Mux3 : OUT STD_LOGIC_VECTOR(1 DOWNTO 0); Mux2 : OUT STD_LOGIC_VECTOR(1 DOWNTO 0); Mux1 : OUT STD_LOGIC_VECTOR(1 DOWNTO 0); Mux0 : OUT STD_LOGIC_VECTOR(1 DOWNTO 0) ); END COMPONENT dec_to_fir_mux; BEGIN U0 : dec_to_fir_mux PORT MAP ( DecRate => DecRate, Mux3 => Mux3, Mux2 => Mux2, Mux1 => Mux1, Mux0 => Mux0 ); END design_1_dec_to_fir_mux_0_0_arch;
mit
MiddleMan5/233
Experiments/Experiment5EC-MemoryModule/RTL/Concat.vhd
1
966
---------------------------------------------------------------------------------- -- Company: -- Engineer: -- -- Create Date: 09/29/2017 12:10:39 PM -- Design Name: -- Module Name: Concat - Behavioral -- Project Name: -- Target Devices: -- Tool Versions: -- Description: -- -- Dependencies: -- -- Revision: -- Revision 0.01 - File Created -- Additional Comments: -- ---------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; entity Concat is Port ( setZ : in STD_LOGIC; DIN0 : in STD_LOGIC; DIN1 : in STD_LOGIC; DIN2 : in STD_LOGIC; DIN3 : in STD_LOGIC; DOUT : out STD_LOGIC_VECTOR (3 downto 0)); end Concat; architecture Behavioral of Concat is begin process (setZ, DIN0, DIN1, DIN2, DIN3) begin if setZ = '1' then DOUT <= (others => 'Z'); else DOUT <= DIN0 & DIN1 & DIN2 & DIN3; end if; end process; end Behavioral;
mit
qynvi/rtl-adders
rcadder_tb.vhd
1
906
-- William Fan -- 2/19/2011 -- RCAdder Testbench library ieee; use ieee.std_logic_1164.all; entity testbench is generic (N: integer := 8); end testbench; architecture tb of testbench is signal input1,input2,sum: std_logic_vector((N-1) downto 0); signal c_in,c_out: std_logic := '0'; begin rcatb: entity work.rcadder port map (input1,input2,c_in,sum,c_out); tb: process begin input1 <= "01111000"; -- =120d wait; input2 <= "00000000"; -- =0d wait for 120 ns; input2 <= "00101000"; -- =40d wait for 140 ns; input2 <= "01011010"; -- =90d wait for 120 ns; input2 <= "01111000"; -- =120d wait for 120 ns; input2 <= "10010110"; -- =150d wait for 120 ns; input2 <= "10110100"; -- =180d wait for 120 ns; input2 <= "11010010"; -- =210d wait for 120 ns; c_in <= '0'; wait for 200 ns; c_in <= '1'; wait for 80 ns; c_in <= '0'; wait; end process tb; end;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim/FIR_sim.ip_user_files/ipstatic/cic_compiler_v4_0/hdl/cic_compiler_v4_0.vhd
4
15391
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2014" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block mgBHxdGDKdFcNwl/Xx2WnyYZ7ba1BCdJcMSppx8JqLmJP1U5rviV9jaAKYu+vvTpty8wG5ySKIoS ICgIgO6V5w== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block igue1BkOrge2VpVQVRwbQ8pn3AwvEDZEEPivjx8QGiAj++94vrpWbiOuxNNKjjH1ls8/BaEytlI0 k+G45Qzlo4hEXwfSuLSzM8KYt7g93jXYIYktHgYGGNu3aOJWIi2cXvloY+pGimCQfcOaVGolYyH9 IhhuNsGI+eWWVc+rY1A= `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block gJvVWM2JGbFdLbLvMMWLTJj+1rqH54UUcXYKG5qFjk61PpU04kVJXA5qgHfKSfV47FFpOkWyN22u u0uLrOs9ox304vJgx35pHrBVznc5vkixPUO5OgE9z6hg6DGVrR1ICyExjIUlE4PCmmXZSgHX425i IFwgn4PSSI/h8v98oFI= `protect key_keyowner = "Aldec", key_keyname= "ALDEC15_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block t4ibrC3fv3Lns4KeFtgfU0Z9gO48OpMqyF8QTHX9pG9GXU6ON1Mwz9CGaY4RsDGBSh9SjdAjzOC7 DWGPrFvZZ60z4PHWFb/ltHG7ZyROVyTH8Viqlhp5P+JsNdL/PrlcBpWHVcuz+rDL86fTqg3qN4tx v4r87ULAdYZgOZG+e9iHARRDB6b25+mXnOkUNhUVJS6cxT0RCQqXSCPbsLnYNHJjZavqWKw0KTal tP9yKHaYnkC7UVygGE9noBkxODvffFE19n77vp9PheiDeUSy8Z47PUo2+siqo8e0gysEQHnxLlP/ fH8A43Gz3W+EXUPxtIzzfvSgQsbha1hgau3BGA== `protect key_keyowner = "ATRENTA", key_keyname= "ATR-SG-2015-RSA-3", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block PAyVdC2D1HyXQ7ft0zBM7tk6aL5JONGo7BfiBFDG10oJ83HwdH56LT+Trixib8Kndb3P0tw1q4K8 EJpmbkhE3fG14gch0JwE/KtiyuIO9lgG2qguhfV4iePQPuZVaJ7xyqUie4W+bbBSVvas5rv6vVX8 z7W2qVRHYdfXNCetjqoY2ts6GYdW4uxn6oqwhrmhGAO4YoqS4fAycbuHV8FOP/q3flmo4ToG/B7T bOSzfUIlSb0ea76VkzzwVtr6QJrrOqHBg6DD0qfmrUabDnqTnXyiGucIKAJwDo/cvtbYCZaEzNGR 0IBvCzC3/BXNiP2lgewJeUpK3r7ywO0EsZL61g== `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2016_05", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block eerX1NtxairFs8LyX2Rot1/JrHi6nVsYzT7q6CXGQY9k756B2QT2DwzPTG0l3px0LzPKCIrJleOv BChpaRPWErPQGpaeonA8qUW64CRaVg1a7oKeczCYx3KJLZJr4vazqJ6KmIQJaJlb/nMqRDfBAMzZ Hy9mUn6Zc3hOYohG+Ni3vbI2Ay3ZDCW5kiSquc4jbfTDLmWzKaAZLHg1r0vcGwUCEY9ZA1VG+ifo iL2HO0b7txc9Cx4idh2fyH9tk2Ei2/s7hsfT9jfH62NP5jbwp1vrB6URWjZ8p39Bf7iMK8yzZBCH MPph8zrM+5nJCLcrUf5zi2zCdvTE8t/M2h/tFw== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 9264) `protect data_block GV5zZB1TdIcG4F0QnFDZKrYG9NrkXhM3Fhp77sp1xyRUG7+3PEdO5o3XiQrdP1rzXex1Nh3u1Po6 QfdUB2+Zmzb+Hcn35mvrq8foa8G8wR2w/m5fAz+5Lmb1GL2Rj67k2sTthlPR3zWPGTyQpB4dbao7 PjAeED0wdX2nKUmGK22qBRH8Tb0uq5443Ze8Kp9tYz/47EmgmnDoLZ3SDESbQpm17IAOtyM9kw2t ctjTV4dBItpVDmFZ/4wLu8JxRG76/QXewa1g9ddPQi3AEcngSboWr+Ds2o4Ndgf1rKikFTOgLxUi /bwj7ah9fYIqodw6UzN2kWLBB2GOc/uaAFMXmqhajzcxzLT0wOKluVaO0LeIp7+ydgbkWU+Dk/I9 rlIHolS1XjMiQ/J7eAOKxAR6Ydi7TKJ2m8IKXK9s8ogQISpM887KAKTHJIdiJ0vYSsYr80hu60n5 IJN0HFc7VXeZOazbUhf2DHTOtdtPI4mnUbnIkvvYuENJRe2vcrHVJ21p11WwceyINtoV+EkAAOKu VmTLO9lVJ/XxahIkCsr8MhwrYSK8fsuEi7gZh8Pp11oUxCw0x4TcZ3v11ttM26Ojvn1zI3tZpVnV PfTtU8ECpgeiYyJ0RAxknBYwmsbndw2JYuIYxoJsgQYsO+dEnXR0IZ+1ON7/EUVDhCfc1XcOdGo0 s4hoz0KzEMamfDoyUFnL+0g7Gk9O0DLaTueAu7/pkgnGA8lCgeFxELfzY3uZrzVOVDYEkFQQQQ8t nBsQDjffrBP8qmq4myTt3qEmZI3X8ZJ89b3yh8hL+rwIQc2HyEpCocS+uiebg4Yt6oI0A1tPA5ih FWQJghFgAk4MwDzq3/AlSXaADDl/fOclyJRxjA9/v1UFefTNjGjRNjytpoyxmwCEhN/JIOI3c+uS ljqxYdEEOy8Eiz/4ViIJjBqB2yv3wkM1Nfu4P1Up7KCqB1MpO9IyPs/ptkOV7mRWK9tGRmcFIR5p 41nVEXI1zccRMM3Go+Rb1m3vWJvboYGcFBkzRPKLQKvEwkelZboEtwz2/7VNPMXiHfP20VnhlsOt HhkCxg0bIwYcIAOuFL0FMmoNYyHK28jSBr7ml9sJaYhSFkOJQOOE5Lu3pzbPMWddf4lpdUQJ57kL 952lxpVmU90/zs07lHWu4F3njEqDoJaa++ZWpG1HLFrNGFWXuRwceyXZXmWpafU8mVekieN2zt4r afg87MpbZW1EyzZjiSjrqEjGOjxWJib0OciMJZmkJaO459niESkCmPSSNmfj0B2xGEZexhRYKFhb rclqS9kVeyeED5ESZSPVQ5abXgONUzBcmt6V2bTjOA2pMJjUId8B22yXhSYgmknANGasvn4/zKiX X1iCG2gg1/ahUGBcykm9KeuMGKe4ZFdbjLwx5zHlyMxBUM1oXvIEPOL4cZ8OeZ0mAnyYPESeOJwI FygiFucy88E7qS/lFWjq1CAbZZxVqYyyd6HjXI6MRVP+dhl0Kl/K9pGYCeoaFkxFgeazHoTrs6ti c7/gdTQzr0moVWPAVXMH96I2J2EqhRC6MFpfSTwjv3c/b7KWCeXImB7HkyX3X5qik2yjkSFvKBL3 4HV/wT6hegWjLG0ZqUNNC9RyatA95OVIC+RxpQga6aDwAJ9nF2D1kiSwtgmRKSmCA33MGcCb8s0b 5Cr2f21gL+4lvb+VYJzaSsrraeCuuREimfUgllbzJa3d5C11mHe9UqdBHEi+N3TAuPOP5eJEdXab vj0RvXhV+yddKB/w8bdqhNoFj9Cq9DVzfnBA4xWQlWmtNYmjBXaLLUTjceVVAhlns7HGJmuRu2nn c6PVRdjBE0yqSytMi3U1UYObQ/tRTDB8JPnycs2WCb+ERMZsFwSEteDjv/PWh98YEoGTy5km4G+e Oaos1X/9slYG2XDNs/V8AuDNRK02UJ9K4f21RaToqSGeSeIHHvv6kPuCY7qVdTlkNx+WF3QpSORF ys8N3XfigtUubg+pQCQupc3bj6tNUngGl/oRMy6oDPQ9839CVPaagM0gpZN76Tx4YLXZVxm6mAgM z8Ciakcug2l0ziofZTWyxE105s/yI2ZSe14vWwmNiv5+I8yTp2TzjC59rS7/9u53B5GsNv7uVMLO gealmuoVSt3cpxfMo1rZMQgw8wm0BCr4YN49t0PshKzun2abweohR4iBSTu0MP4CMN4hBnQFqgao Z6lNCFu3bHKXuwkd55EvJ1wv6wrJzvcozMkj8dvOoviNtFdYK5OpZtn9dpJWDmlAeyJ4Dw48bDwL 450opnRn70d10LsMaOZr7u+ilAdkDgLUMU+ufBml8R04HlIht6EReyFEddwU3STAIMEB6RzYZrY9 +/tNuSno8t0Lzuz5UHAECoyh6Me9cVTGvt5uYIKdmshtiNOQ3j+CooXEPI4WcySllp8FmOtTAhOp MZF2FTmfmQHmVAGmzYT2RhbZJeLbBKIYg62oxh7SDgjZKMnphUralnSl5Xd1fSfiDQ5QKWjQyhu3 SqRCMSVmq1617oQ1zUUF44BV+a0qoJG/hNnEKFUz8yvD/0zWUo6zMeNAZJJX3btVYkk8Nljaifk/ LeNLlhHAY+5UZfXPbCOaACNeRdW6yIjyO+d5DSfya8wPLBuMLrInhJhal5Z8QIYIASrG2gaMgIGC oFbve1w9YsNbcUhHe8zoiu+upWrzqA67cPuA/8Vmcd+VniMhN1IMx/+oZCxSFS1GKyFy3AW3osx+ B5wnOQlAO3HFaQJBJqEQImNBDQLJ6wyd8K455P4rF189I01OE5x7q/lKRJ01HBu3MHTnhW8g3TIb bTYMHhGS77PUtEH88UqDgjWmrEknIHLHd2jKSxKIt3bVzIm//RjxCNL6c2vuu8F8l3LGKKNsBlIl rrffwuPDDRaPai/YUvnpYfiFvEo+/AYLANDJgkSCiAWRt9PZUc6ia0uU4nczUimZu4FQEFUhIGD9 Z24cMv1puQ28APQzjxM5kigcl8BbX9+WnP2klhYJArcJhCKSLAx3WReQoXKvESlzP9PsEk+xwQHw xoc6K5jcNxFqQbWM2fn+/1/8SEycAUHWmmUKe5Sh3JWdX8sHcJewpmS/dlcswV5wNwAjjQruA4PM eQmGl1N8FrfxSRkF3voHAG+Y76cBroSJcy4NQwsVFeLJ+66NJpHhxFVAqhb9ScHwTKQ+GmxPG1VQ ujvROp48ptOM6Bn2gqUY3mW9LWn6qL1it+iIiFlQ54ixTl4oJEZNWvIzou9Yrl8/FfFhzUaYcAks m5OZ4+L/GLf7N5c+wgPX95uP7yvF8rt2os+4aKojLFGD0AcRpaw0REAVAxo92x7wE7IqOtZxuY2B kg9zc3n4hxbsGqWtGc8Z9DQKrrsHYViZCMJt/5yp6H43ifw6ajmIBasbSykNn/Yers/6KnkyMMil Uq+R+PENLj5D0uaeZy/V0sBOczzmlmAT5yPR563MpMPW46A5PUdmLDpCdvV8CWan3PSGD98Eia34 ts1drZH9J+FzEAmZce9U3xp47NcNHW3MQUiS0a5KbWGAsz/sLb8ZFjmtrHMUve/blWCOpPeV7EWD sD5AFq017Y+xc5FkEA315jVjb4qgC3TKioqZEeaa/geXsshxi6r+m6hVAD3ztM1T+h82G2cdF1YK bXz4ikGARwmn6sM85vz8rLLrYaOXahNRgQmtJbtntP9s7PcuTE6wZSYlzgNO9yx8t8xVyH72wZjv GesKEGzlpgtytV0UQFVxB2XgfM1Pjbbi0BipGMIlzYkw7q8xk7TRqXse5HMJ7kuUECVn7alPs6Bj un6bd3G7zRADIug8+Um7xXKqHEUk0SL/nyN1jFf5zPuL2CBJG/FylaZbUTSZoKiQJdWmqvhiQsC4 VvJlX52+61OOERWvssXUdXw9HnUZEEnjH6ALkNit+JKLYjPqCk7Fr+P6CI7S115EJDxVUBd6QtKg dq7PJS+6Ww80EoUgEZdALAdzc+5Z3NwjroggJaoDG0Fc7Rx2nnTeV1dhdk/NCT6Y6GNiFdakUbhV lHTcqGhztD4vvNKAtm20qvoqPAXEMylGhTpk7NefoT/te9+FkVjOkuxReR4LlRJrnwnNPmZ8q3Da B/QoClAW0N8yKmshKBb4ouMz++evE9F0DpYhdzmR1jb0WTigw0bNTnQi8CxUkYDs3dfbTQeg0MD3 Ye+Exfb1T0/Ml1TI49C5Cz7pUfylf4uCgI4pxY+/12asfwjlS0zP5Y0TTtTPikL6rSK64vuZyhz1 KMY5OKuz73Qv1whyUPJevTyIRBpfokre/LLzaa02+KnwFfdrX4yRVIdLyUImcsxsDTWThAGNz4C7 oc6+V/7X2kVTEwNYr6tgDzqQZw7z+7kWj/wFZDl+h0u/yEN+vO0dARm6gLXkB+EbfFvR5CnBfIoJ TlDDuOEVQfNW4zFGVldohklyYHeBRrkoUZcrdWAxklGIcFQt/0bnenuoJiJduIub2y39utHbi0mO 8tm+4W1NjoENtGq1jF1uWT84eh3NthEXWniC3QVDdqsLB8gv0wjghgXQBU5pyDmARudcQ7dIS7eu fyb3yaeG8WkS2Dxgz8IhrAtDHnh6T4H8N/yTvyb24VTA2Iptbgl3HPN7sZpyneuZwUehRDeUYJb1 J1qPVjCLXtoP1Q2x11gpxHvidUChIAFZjkrEyhreBZk0p2Nf99FRtVMC9jC3NVWSMK+lRFD//eKA 0AViJ1qnFAYVkjDeCIGYYxITJCyQSZXSiRjgo6aMs8+H+AVA4RSflVy9CNdEIHkIu/PYp9bjJaXT EqwERp9FEioPhJvibMJbYbDiTM1+Db95NiJ/NDEojFvR5hXbTUTRIsu0uYzgTI+mcvKN/qLf3GW+ 63kYPrew5CehKcAJtBvRArGpdKk3aui1bPD2u7Pellb8PCTfzmtYDo6bNmsiJYybxxpgf8rfvn9+ J5Q2SC7QBMOwxNhu0LAeiccjrwcDofUSe4bkU7Kr3IBwKBAACvruaXZUkfnNcuS19waiZPshSyfB YtZwjvfIysHOPpr2qnwceHOFMU/7xHJ7vKB4EBadch/F1K9ZE+bJsjPIB618LcCTdTCxe+KOcbsz CR7GPoFICG8f1YGBPk4v/22NaUdn64JO/bkHskthqPtAsPODQiv3R/PvimxqCu7VDrsX7wxl2JTG hreRoEZvGm20GjWkFuTkQp6RIMFJOv1rX23mF/s1K/iTPF2Fl2bf7yrxT8urxV6w+esRfEIuuPKG NG8kNKCgUgEDmUwbbothBf5S4C+qR8qJhvY01JDKlwb0Wm8uDHPHJUUKUl/zQf04U2cCkyXzPS8U qLodOAII55xBJh2rj8X3BRm3ULlPjCpYaAmlXo/voGZop7X6zriDc1FuJD7xHRpBZP0VC50lDeLR AUTzGWgBBBgiatBRuah05Y+ERy8xqGVZiNPt6/gsH0K8O9p0OKGLIiaVUNWwhJ/F1yT/rg7vu2wW TggcCEKjZavCY3d6+WANKbP6Mqm5/l7NqlBMEo7r7Ko5TOrIBHsEsxmHFEYomHZ7JMTXzlbtbaot S0GXyBUFSsUrwXACCwJpuTp7ZvwmbNQxq4+p6rlsUDyhOErYh4AeEBUc3ceXL5UhWqFRkajkdWn/ HEGQ6KoeXefCxS7gbUkEx5qWT5y5zr+kSJkQ97XMg98EZZ9GWKbbiaJr+bLBKuI22zT5yyUOmth+ qhq1XIvtNlPn7lHsSDx2xJNWFcfPzRLCxasEXMbc3LyKGhiMVlpnasqfZ9yZyvrOhJcXp9ITJKld nbwaSmPxTTH+xUXTH3wCpGx0p3Ly0LqK84Y2dvtI7PEhRkIS4LGgY8/Lo9x7hM9QIfgZ051CHX69 YI0OmXZvw9caBFle2SpLJ+fE9uJdB6OYmldfOwVjT/d4uXqiYkw3HcI4tecf00wYv8r92cSqCVlu +/IUfwXg/ZBXQnXaaCd+B6i6Aw3NJaa2KzCBZmzmVhxsiStk0lKJBzi2/dfaUIZe85vlBSC84zHl 1fprpd88UJVT9x9xDwi2yLULwGdGPO6O+JB14uoR1BkmwNSRak/eMyvEbTBU1KFYBOWFHlt+PSvV gGx9Xy9p5sdO0u27mllOOXeEnd3s5uG5o2PEgMSzz6ohjNaG9mDUrfd7XWGLaP9/nPKZgl5Xcl8P DhSXcdxv8+spIVDSZH5OVfog7kbfv1nnbPTkmPns/PEQODvXeuIBArJg0y+iuRgJjdBXbu71cG6I Z/IaxNC2Rk8KuizT1OpWYQ6VV+9BxesRKmMGJYasjcy7m5O5F6Ae4ws9VlOQos4sAaykQCKWrStX 6XB9rgzRpA4iLlJ07aEQ02no+ohG83mQxt8brdX6N76vqhAjHhZuzcrt04bgNwHND1aGo+1ZOJiR X+za/pUxGawwy8yilGjZRmQx2u3r0roRhEyOYvcbdGRFiZ4ewYgZDV0b9GN5cXOA5t6GGkWHPeAY 9HRheKqev1vXTc4hv0/NtgaiI2egQ8SM2060ZeNq57aL0194ICdI5Tm0tF6QVUspTHbyNF4ByJOt XV8jtP8+5czIwBBbeKRbvGuqzbvdI11iJqOymJ1kYVbhnPyci2IbMZ5SifBBX8lHXEDOw/4AwYHV /buPmMFBLcnzsIBmj29FBxn9R6/qlux61x9/LXPOZySvmRWWSbFFK9KMXtl8WIHnpNZU3HT5WnY9 Sab3YHLWNiPzNo30KXo9awR+bwb4s/Ol6Y1qUoHXKWMJgUL9tgXchdFK+ochR8usNf1n13SarQER 0V9bB1LXcbCq8meAW7khgK2TQy1OHunaagblaJX1AvMgM1T1g5HPcx7Gd/yqlXr3ug2WyQCuj6ic XL+7wxVbZKsSzUy2eAyi2q3+eC6F0aRjRhQD4QjgAuxBOTyZkvdFGfnU3NLmE59EEWUOYLGaHT8o vWLL2mPs5GV5uYJBoy5+v/Bk3A6CJWLQWZqqaCwG+MCl7zIenYeof6R7CUfuQxl/JFtFwtrki2v3 7UKCf6+xlYkhfxMuCnfMb8DFeoL5UfXNCLqTPiOHg1b1S62l6Ajg78nNsjNUggQRxGuMVOUrIfaK wMz5V/Ffs1lJ72/asNsOWwZWfLezeT4E0LrM9bWZjqv6kbdj5ODYNR8uon+sVeTc95nNiBM6+/uX ut4tDEg2gegc1/BOBIRmEwrdwvS/GG0AhqSNPf2r4rAQseXAC7Mvwmbc5wcZqSbN3v0aby9R6PBi nM82aPqI/5NFQ9SdwQ9GWo5JNIxLEa24SH6ILg17XpWF5l9Yom+d+NHnQzPCXxgoPdB/vPss0GjY 74UASU6WS3RMHi+OxPIef//3xcYAzArsKRujKZ2QmCa4MbxcqFg+1rN6LvuhQ/COlsZ0ZSv3wYCb FNIdAsuTfHQhTZ/Ote2bNbds4L923nEQsO09zCMDE22VMKNyAEalU4fDpIWzJG5mQBy0+f2fMs26 zReNsIEl6rUQF7JZ4y8gfrkOEUfaPwVL0fA3OrsyZN2OyU9ewaH+MJEtM1Q7bXArYphbHoqLbUJL 5LHHDrKNuEQAjrkYe/N2eGzdzCEkRPwCeApGa6Em4ObBDR6hmjVpZPTqcson9qKZlZ7gqNHd3Twd CsEWouY44HKYVhfB/dmA7wj02jXYmkemiBAazfLy4M0S4JdNc+8fBWg2Rfwm5ZotgALyQKv+M/RA L2AVZqEPQ1zbYbftJn7Ug36zOCyzYFmT4GA3TOj8CyC6ocuVtrJAcXx5FElvoAA1aNnzGi6CYB+P OYnGT8mpQVo4KclKqNTmHnwcyT4qcVwrZzThuNwRukwH2KaIJ/lh4vXHcpDk9mJDnTegPdFOlpRX iO6OiO4sEzJaXYQ7MwA8JFAl/B/v2DpUuRQnHipPDt9S6JyhDr71zm6yvrpGgO5bimWRzoH0DUGK 9zzdU0TTQuo4zrEaOIGto9uVIm4Qzntx69vbwIoLNziedibWemofSTV9L+GDim/HLhWFbhN61yeA TI2+oKkuKmt7f28R1KQpnQA4p2wnApUbzUEHvIgBCIr8jVHZtjkP95oIZ0rcfJRE0Y2TxDRdisJq YCrhJsghgLOWVkE9bjhdY+FV9kIV98FsVu7wf8zZMAo9vfafBT9vIeDWzWNUGMI15bKpjw80DeVf vqW3WeWrF/6xQ7yrBdz7e8lNkDaem8srUP2hpexe6Ju4BX7/uNDXD65jmTEP8vq3YQl9iQawy5JH GudSHiqlKXjWX7tjncvPR+eJLycBBfZN/i90q/1V5jZKQkuegojnTQP8/nU4qh9swuJ/gFy8oO7O EoiKKD+XYI7pO8fFK0TVlrzurBNPaJaTVnJp8Vozg2WJ0avMKTPYKBw9p7owLxPIFCTeaMroS7ai 9QVZlFi4r7j2s8pa05/PmiIlOuxPlIYhbBUNqpn22du31GQZ2DGoWjOYv1JZa+S6gMDK4x3Jwm9Q MlWvaMOhYBs8Pwmn/dRHQe0zkHH8uiUjivkur4H7TciDMksesaSyKz8pg8ZmTcUkqIM2N1QziTPu KwMysHPtODECe/m4TKziNoRVe1p1DFTkzdvXSQfQ2ZWhuVwI3UuVtdEtrhQyCQgHf2oZEkIyuAIt anC12tHPpYjMXpvVw+feEpEmIjSxPoNRBEkawYdX3CoYGXNcncVCR11P23Rr0E/RAzwstyTEXd6w MSRH+oQc3IOQRDPkrxhizUubFH9ZYwtVvHE98onCIt5TDwFtgn6gpsgtqPHbacnz/HMLtVGw+9qW 5CA0IlDBanH6JzTNArW8ew25VqNHch/NOSuitIfBe2DY4a5yNF2UiDZvbHJWgVBY6vpvfkHexp6Y uQqSjdt2X8LMeRAEdWclhCUbvH3QcleAHrdEMpl1z/ETqF6rImJAsLdsapkirw8h/eC4HmWOvY28 XbNFXZLPxmKNzCd34rsDzMhHsSbuOej1QC1GjiGmrsSRDnr+Clt2kyK1P2DG1x1qb2OrHl2BPEaq 0LgsMde6KDh472wQfdpTr383veprbcEKEwaYYmkv/hSRN17E24t4ER4NmCtQxwknv11pdztZZCRz buKYm+Wbgbtl3h8YCNOdZDVbop88adWA8e3h8QJzK1ehefFNQ+MrCBVDnIIlmi7UINlwlQToi891 Ti5nhclhRTU7FySBxsR7CXjuQb9BUvV/SfJLRq0EkGzL9KHXxEqLQcX2UBve56RM5H+Y+PCtVQ9e z+L2P35vLd+iYMyGMmqIMjnws74nwd9GFv4YRWXaI850ZVPGuMhSm+YqakQCz310usaZ5RZuisyJ JIqx1c0jv/3XhpIwVyE7SgLjngr9IE8nRxPL1rj3ZM/HwiPFGjmkkfAbPyNGbbGWPD3x/3kzKAeI YGVK/Hj3A8Tf4iHjwCbVhzYhxW9WNxvQzMjZcl0Mhc9ZgrFyJLNjo1W0rz3FrA9wbLM2FUzwZa/p fSMdm9mh3qVzJmrfTC+17IiXUx+Hf37UjJtX9R8sAiojUjt0S6b1WDhkvyOe5bNdulCoqjTYu8ZR B8CYZDnHU/aa62Fia0OrhWRmRlBzSG6aktFG1WdQzHL2RzlGFj4Gaylr2+zomcS9ZygCSO6sa5Ed QiR7SygSvqF0fT7E+YxHC3kNzz9qH7AdwHgYQVsZ/V7IEzUQBEfElNYAVQwJkjYwI3yjBh0qXjm9 vdPmZ5PtwHmlR/zYM7BsvFU/fMTb36ks7cNd9/hkvMReojgBuNrRuClj71dWc/2O6eqWHPcE06WU tg7VvVwwCxzuOe0KqOx0f/t1D5DEgnf86dQz3eHTDpXZx0AACHqCK8MYxM8jcNF8vg8SjlNbW/ng vyVr+bja8jTYkXXt2wrLzDnI1+21QWkOpTLDBOKrVzDkIBMi6DpRe/klPvqp7Zil6OdJpZ3KSe/K TXvSGFdOfiqDY0ZreXP0kWiPu1Vat4R5Ll5+og1zNkbVswesIIJHGXXAR1awjUi5Y8XigWU4OlAY 9RUN5d1jk2Gbwx0YpPW5qT/8c7WVrwAiwTbuRIftq1/xgpHMKTbRaddgUKvOYqmYlNTbXSvSlRsp XrIR1FNNHaVSn/Hv0ASXoAyogpBih4Aqpn878aWeIH6smVUFRkiqxLN3Eki0dJPXENfuAtrV0QkA 72xpnlCEx6toZQtpxVEFkOBcXnP9/h7hNRMzW56bFNTHE6PHFG1jfqPmBwHieZCTICu7c3tFuhkh LDOkIHT+duyBxUzOBdjYJbpcSmr9taMUklrMrbcHa45S7Ibbxetr3eqSsUYU9ZqukK0wvWNdQbQY vuP04JR2jyplUKEM0cPvE8SaAD4hOZ+c50xdfGHPNLKEKbZy/nOn9ksQfGiy3OS24WWro1Apf1Ie 1jvlCzfRxh4p6HuhSeOZC+04qO9CM9n6Moo4j+s5syQsH/RcBRzAk9knQAV5rKLxZCaPUJjRoKV3 E7yT+XqAqoYrCE/nyitb50KHnY/4dHcJnwYTXvCqw83USAvAynY/s4rqSPHDr97anHschqBis5uZ gU7A6yDiERBSd//dcbqCwfvzvfUQ7lO9uQaP+9BRgEsDeh2TuukF/Eu6iAy3utlL2Nhg87ov7R6V 6okP2MUFj3NuE6xd+NBilFvrVKuMlen+pdmfu2GMbsc61E4WCHk2YnTcp6DchFw8y5zCHrXXeP3t 27Rc2x0PzJt7xFNI85IlfFeeEe/KEh2mJOa0WYptB8bi8N9nHJ93anMW9lKbPEb54x2w8OMIM+lB IUx7UIypS63nFjd3/61IP1bl19sdGhiCnZf/TlOkJ8i06MolW2ss/qiF2WF5/NzLqZYVQjQC003m 62L6Yqbyok3ZpVZsoBd+T1sXD7tRwqrpsNxvqm9YP0kaviSjXfKm4kw8g6Ek7+xrXFKtPDYKmpRs ghBSmBrq5ZWz9biJvnbdWw0LsZPOE8LSYbxi0ZZtsbDeB60iAnKcngnTbuGiPGecQXonlqFZxhVz oZQ6FQlhPsDELypomhGc309HJynA2uAQTFO9qtSqkr/ZQ9RTacysaw8hqZjpzc5HvXXure/7H3kR PyM4LeUPP+T/z6A3xomM/jVM76qxY7SEhsRQ0Z4DKXz07xUhVqRj1xK4LKy7cT8lTZ1B+vBiQjAn 2ucb1/I58c2JdlGRg5GtdF1VIYSZAX41ARScJsGMdbkhocj+sg38xEvpPaRUpGkuHb64it7PSdmE 8ep40dZtZVRtH+xJaTdRX7xcrS9cBG7ckueI00ddJZhMlE8YoPRpuYkeZA3ccduel72srJL6RFYh KeYvxMNR4PkwMehPYaFxKdr3zun11PqaS+j6BFE71mOPDlbAOjNrrL5ZGCpIFzmXbXqmbZIY2iIx sDVmxETVKjk2HD3wGaQ0mu2amo6TyiF8zpJEIXJYrqo35KJHfgOZ6gvhLLOSfMqcjbrzyivhSWAq +XYeyli95G3wbBvtiFvaRGF2FE0B4fH/p8Gchd99u9qHIqGx6wOJPp1FYNXnV2oA249esFlVgoeP zg0d0KZOX2FQQQN36tSlY4fDcuNERK/jjp15E6v5QS8NTKbcmzW591LF9dvsRYw8CR5v26mZnIuC VBUSsuG6HBipk3e8ennfiVGK2R5NDNTmsOT1B7GKqEietIGCsiYm+MmCd4zF6TK4p+yn18oRX8rO z4CX74zcbeYbbwfPI31DE0DP4bfaaBgYRjY20GmrStb8DM/kmtrWnqAGkB5RShAtE9BAteKwATrf JC2Lm/wMlv68EenU2vG17OAbM95dXzPPTNUtbBXdxcs5ekILCuz/V89kxWDXI/Z5fD0CzR1jY19F Rzawuztp4745HkjpuEzXki25Lw7evm4rzxXY85HgrqfclbBz5kxG+Bv82i16TDlCkdW6hqqM7R6y LW+7oajCd20aq2g/5pGpZdPVEwA1m0St1FpJqogPyVbfB0woE4rA9eIamOWUYmhHODIUktgEy35g j9BqGA+8KDUgI9aliVxeA15TKKJuw8gtm9ACOM21OamCjRpexN4OVedmVrfQ9D4BOBEcLfBiSu07 NSGkOgQOj8LS7DpgWqs36NesM/qQIAIcibfB/mAbxxGjzBY+X544JHk10Ta1+D24P2WAV03nCxAT Qw4Usqury5vhqvZb5n74xKoWFXNbpCxwFiJ3nFVv5QzO890+LIcUVLRwberC6VQF3k+K5kh+3KSA LBoVwzDInm/JDUiy1f/Lz6TyAiGUxbKxx4t2zDik286kJmr8TARl18suNWilFKpRdBRpfxGaj0bX 9tuI2OpS8RDC/skcdtWo5GlLxlJyBdKfiu601BAiasVgYCdZwF+LG7sH1ANwmSWxflLgir6j+IkR 8AYREGExmbTOfRulP+i9eqtCGq/w5ol4Vk4kgTyR `protect end_protected
mit
MiddleMan5/233
Experiments/RTL_Components/CPE233-master/VGAdrive.vhd
3
3620
-- -- Sends the given RGB data to a VGA interface. -- -- Original author: unknown -- -- Peter Heatwole, Aaron Barton -- CPE233, Winter 2012, CalPoly -- library IEEE; use IEEE.STD_LOGIC_1164.ALL; use IEEE.STD_LOGIC_ARITH.ALL; use IEEE.STD_LOGIC_UNSIGNED.ALL; entity VGAdrive is port( clock : in std_logic; -- 25.175 Mhz clock red, green : in std_logic_vector(2 downto 0); blue : in std_logic_vector(1 downto 0); row, column : out std_logic_vector(9 downto 0); -- for current pixel Rout, Gout : out std_logic_vector(2 downto 0); Bout : out std_logic_vector(1 downto 0); H, V : out std_logic); -- VGA drive signals -- The signals Rout, Gout, Bout, H and V are output to the monitor. -- The row and column outputs are used to know when to assert red, -- green and blue to color the current pixel. For VGA, the column -- values that are valid are from 0 to 639, all other values should -- be ignored. The row values that are valid are from 0 to 479 and -- again, all other values are ignored. To turn on a pixel on the -- VGA monitor, some combination of red, green and blue should be -- asserted before the rising edge of the clock. Objects which are -- displayed on the monitor, assert their combination of red, green and -- blue when they detect the row and column values are within their -- range. For multiple objects sharing a screen, they must be combined -- using logic to create single red, green, and blue signals. end VGAdrive; architecture Behavioral of VGAdrive is subtype counter is std_logic_vector(9 downto 0); constant B : natural := 93; -- horizontal blank: 3.77 us constant C : natural := 45; -- front guard: 1.89 us constant D : natural := 640; -- horizontal columns: 25.17 us constant E : natural := 22; -- rear guard: 0.94 us constant A : natural := B + C + D + E; -- one horizontal sync cycle: 31.77 us constant P : natural := 2; -- vertical blank: 64 us constant Q : natural := 32; -- front guard: 1.02 ms constant R : natural := 480; -- vertical rows: 15.25 ms constant S : natural := 11; -- rear guard: 0.35 ms constant O : natural := P + Q + R + S; -- one vertical sync cycle: 16.6 ms begin -- Rout <= red; -- Gout <= green; -- Bout <= blue; process variable vertical, horizontal : counter; -- define counters begin wait until clock = '1'; -- increment counters if horizontal < A - 1 then horizontal := horizontal + 1; else horizontal := (others => '0'); if vertical < O - 1 then -- less than oh vertical := vertical + 1; else vertical := (others => '0'); -- is set to zero end if; end if; -- define H pulse if horizontal >= (D + E) and horizontal < (D + E + B) then H <= '0'; else H <= '1'; end if; -- define V pulse if vertical >= (R + S) and vertical < (R + S + P) then V <= '0'; else V <= '1'; end if; -- mapping of the variable to the signals -- negative signs are because the conversion bits are reversed if vertical <= 479 and horizontal <= 639 then Rout <= red; Gout <= green; Bout <= blue; else Rout <= "000"; Gout <= "000"; Bout <= "00"; end if; row <= vertical; column <= horizontal; end process; end Behavioral;
mit
MiddleMan5/233
Experiments/RTL_Components/CPE233-master/programCounter.vhd
1
1054
library IEEE; use IEEE.STD_LOGIC_1164.ALL; use IEEE.STD_LOGIC_UNSIGNED.ALL; entity programCounter is Port ( D_IN : in STD_LOGIC_VECTOR (9 downto 0); PC_OE : in STD_LOGIC; PC_LD : in STD_LOGIC; PC_INC : in STD_LOGIC; RST : in STD_LOGIC; CLK : in STD_LOGIC; PC_COUNT : out STD_LOGIC_VECTOR (9 downto 0); PC_TRI : out STD_LOGIC_VECTOR (9 downto 0)); end programCounter; architecture Behavioral of programCounter is signal pcCountSig : STD_LOGIC_VECTOR (9 downto 0); begin process (PC_LD, PC_INC, pcCountSig, CLK) begin if (rising_edge(CLK)) then if (RST = '1') then pcCountSig <= "0000000000"; elsif (PC_LD = '1') then pcCountSig <= D_IN; elsif (PC_INC = '1') then pcCountSig <= pcCountSig + 1; end if; end if; end process; PC_COUNT <= pcCountSig; PC_TRI <= pcCountSig when PC_OE = '1' else (others => 'Z'); end Behavioral;
mit
alpenwasser/pitaya
firmware/fpga/cores/axis_multiplexer_v1_0/axis_multiplexer.vhd
3
2442
---------------------------------------------------------------------------------- -- -- axis_multiplexer.vhd -- -- (c) 2017 -- N. Huesser -- R. Frey -- ---------------------------------------------------------------------------------- -- -- A multiplexer for multiple AXI Streams. -- ---------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.all; use IEEE.NUMERIC_STD.all; entity multiplexer is generic ( C_AXIS_TDATA_WIDTH: integer := 32; C_AXIS_NUM_SI_SLOTS: integer := 2 ); port ( ClkxCI: in std_logic; RstxRBI: in std_logic; SelectxDI: in std_logic_vector (1 downto 0) := (others => '0'); Data0xDI: in std_logic_vector(C_AXIS_TDATA_WIDTH - 1 downto 0) := (others => '0'); Data1xDI: in std_logic_vector(C_AXIS_TDATA_WIDTH - 1 downto 0) := (others => '0'); Data2xDI: in std_logic_vector(C_AXIS_TDATA_WIDTH - 1 downto 0) := (others => '0'); Data3xDI: in std_logic_vector(C_AXIS_TDATA_WIDTH - 1 downto 0) := (others => '0'); Valid0xSI: in std_logic := '0'; Valid1xSI: in std_logic := '0'; Valid2xSI: in std_logic := '0'; Valid3xSI: in std_logic := '0'; Ready0xSO: out std_logic := '0'; Ready1xSO: out std_logic := '0'; Ready2xSO: out std_logic := '0'; Ready3xSO: out std_logic := '0'; DataxDO: out std_logic_vector(C_AXIS_TDATA_WIDTH - 1 downto 0) := (others => '0'); ValidxSO: out std_logic := '0'; ReadyxSI: in std_logic := '0' ); end multiplexer; architecture V1 of multiplexer is begin p_converter: process(Data0xDI, Data1xDI, Data2xDI, Data3xDI, Valid0xSI, Valid1xSI, Valid2xSI, Valid3xSI, ReadyxSI ,SelectxDI) begin case SelectxDI is when "00" => DataxDO <= Data0xDI; ValidxSO <= Valid0xSI; Ready0xSO <= ReadyxSI; when "01" => DataxDO <= Data1xDI; ValidxSO <= Valid1xSI; Ready1xSO <= ReadyxSI; when "10" => DataxDO <= Data2xDI; ValidxSO <= Valid2xSI; Ready2xSO <= ReadyxSI; when "11" => DataxDO <= Data3xDI; ValidxSO <= Valid3xSI; Ready3xSO <= ReadyxSI; when others => DataxDO <= Data0xDI; ValidxSO <= Valid0xSI; Ready0xSO <= ReadyxSI; end case; end process; end V1;
mit
MiddleMan5/233
Experiments/RTL_Components/CPE233-master/ShadowFlagReg.vhd
1
480
library IEEE; use IEEE.STD_LOGIC_1164.ALL; entity ShadowFlagReg is Port ( F_IN : in STD_LOGIC; LD : in STD_LOGIC; CLK : in STD_LOGIC; FLAG : out STD_LOGIC); end ShadowFlagReg; architecture Behavioral of ShadowFlagReg is begin LOAD : process (CLK) begin if (rising_edge(CLK)) then if (LD = '1') then FLAG <= F_IN; end if; end if; end process; end Behavioral;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_xlslice_0_1/RAT_xlslice_0_1_sim_netlist.vhdl
1
1807
-- Copyright 1986-2016 Xilinx, Inc. All Rights Reserved. -- -------------------------------------------------------------------------------- -- Tool Version: Vivado v.2016.4 (win64) Build 1756540 Mon Jan 23 19:11:23 MST 2017 -- Date : Fri Oct 27 10:21:12 2017 -- Host : Juice-Laptop running 64-bit major release (build 9200) -- Command : write_vhdl -force -mode funcsim -- c:/RATCPU/Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_xlslice_0_1/RAT_xlslice_0_1_sim_netlist.vhdl -- Design : RAT_xlslice_0_1 -- Purpose : This VHDL netlist is a functional simulation representation of the design and should not be modified or -- synthesized. This netlist cannot be used for SDF annotated simulation. -- Device : xc7a35tcpg236-1 -- -------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; library UNISIM; use UNISIM.VCOMPONENTS.ALL; entity RAT_xlslice_0_1 is port ( Din : in STD_LOGIC_VECTOR ( 9 downto 0 ); Dout : out STD_LOGIC_VECTOR ( 7 downto 0 ) ); attribute NotValidForBitStream : boolean; attribute NotValidForBitStream of RAT_xlslice_0_1 : entity is true; attribute CHECK_LICENSE_TYPE : string; attribute CHECK_LICENSE_TYPE of RAT_xlslice_0_1 : entity is "RAT_xlslice_0_1,xlslice,{}"; attribute downgradeipidentifiedwarnings : string; attribute downgradeipidentifiedwarnings of RAT_xlslice_0_1 : entity is "yes"; attribute x_core_info : string; attribute x_core_info of RAT_xlslice_0_1 : entity is "xlslice,Vivado 2016.4"; end RAT_xlslice_0_1; architecture STRUCTURE of RAT_xlslice_0_1 is signal \^din\ : STD_LOGIC_VECTOR ( 9 downto 0 ); begin Dout(7 downto 0) <= \^din\(7 downto 0); \^din\(7 downto 0) <= Din(7 downto 0); end STRUCTURE;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim.ip_user_files/bd/design_1/ip/design_1_axis_to_data_lanes_0_0/sim/design_1_axis_to_data_lanes_0_0.vhd
4
4426
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: noah-huesser:user:axis_to_data_lanes:1.0 -- IP Revision: 1 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; ENTITY design_1_axis_to_data_lanes_0_0 IS PORT ( ClkxCI : IN STD_LOGIC; RstxRBI : IN STD_LOGIC; AxiTDataxDI : IN STD_LOGIC_VECTOR(31 DOWNTO 0); AxiTValid : IN STD_LOGIC; AxiTReady : OUT STD_LOGIC; Data0xDO : OUT STD_LOGIC_VECTOR(15 DOWNTO 0); Data1xDO : OUT STD_LOGIC_VECTOR(15 DOWNTO 0); DataStrobexDO : OUT STD_LOGIC ); END design_1_axis_to_data_lanes_0_0; ARCHITECTURE design_1_axis_to_data_lanes_0_0_arch OF design_1_axis_to_data_lanes_0_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF design_1_axis_to_data_lanes_0_0_arch: ARCHITECTURE IS "yes"; COMPONENT axis_to_data_lanes IS GENERIC ( Decimation : INTEGER; Offset : INTEGER ); PORT ( ClkxCI : IN STD_LOGIC; RstxRBI : IN STD_LOGIC; AxiTDataxDI : IN STD_LOGIC_VECTOR(31 DOWNTO 0); AxiTValid : IN STD_LOGIC; AxiTReady : OUT STD_LOGIC; Data0xDO : OUT STD_LOGIC_VECTOR(15 DOWNTO 0); Data1xDO : OUT STD_LOGIC_VECTOR(15 DOWNTO 0); DataStrobexDO : OUT STD_LOGIC ); END COMPONENT axis_to_data_lanes; ATTRIBUTE X_INTERFACE_INFO : STRING; ATTRIBUTE X_INTERFACE_INFO OF ClkxCI: SIGNAL IS "xilinx.com:signal:clock:1.0 SI_clk CLK"; ATTRIBUTE X_INTERFACE_INFO OF RstxRBI: SIGNAL IS "xilinx.com:signal:reset:1.0 SI_rst RST"; ATTRIBUTE X_INTERFACE_INFO OF AxiTDataxDI: SIGNAL IS "xilinx.com:interface:axis:1.0 SI TDATA"; ATTRIBUTE X_INTERFACE_INFO OF AxiTValid: SIGNAL IS "xilinx.com:interface:axis:1.0 SI TVALID"; ATTRIBUTE X_INTERFACE_INFO OF AxiTReady: SIGNAL IS "xilinx.com:interface:axis:1.0 SI TREADY"; BEGIN U0 : axis_to_data_lanes GENERIC MAP ( Decimation => 1, Offset => 32768 ) PORT MAP ( ClkxCI => ClkxCI, RstxRBI => RstxRBI, AxiTDataxDI => AxiTDataxDI, AxiTValid => AxiTValid, AxiTReady => AxiTReady, Data0xDO => Data0xDO, Data1xDO => Data1xDO, DataStrobexDO => DataStrobexDO ); END design_1_axis_to_data_lanes_0_0_arch;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim/FIR_sim.srcs/sources_1/bd/design_1/ip/design_1_FIR_resized4_0/sim/design_1_FIR_resized4_0.vhd
2
10444
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:ip:fir_compiler:7.2 -- IP Revision: 6 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY fir_compiler_v7_2_6; USE fir_compiler_v7_2_6.fir_compiler_v7_2_6; ENTITY design_1_FIR_resized4_0 IS PORT ( aclk : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0) ); END design_1_FIR_resized4_0; ARCHITECTURE design_1_FIR_resized4_0_arch OF design_1_FIR_resized4_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF design_1_FIR_resized4_0_arch: ARCHITECTURE IS "yes"; COMPONENT fir_compiler_v7_2_6 IS GENERIC ( C_XDEVICEFAMILY : STRING; C_ELABORATION_DIR : STRING; C_COMPONENT_NAME : STRING; C_COEF_FILE : STRING; C_COEF_FILE_LINES : INTEGER; C_FILTER_TYPE : INTEGER; C_INTERP_RATE : INTEGER; C_DECIM_RATE : INTEGER; C_ZERO_PACKING_FACTOR : INTEGER; C_SYMMETRY : INTEGER; C_NUM_FILTS : INTEGER; C_NUM_TAPS : INTEGER; C_NUM_CHANNELS : INTEGER; C_CHANNEL_PATTERN : STRING; C_ROUND_MODE : INTEGER; C_COEF_RELOAD : INTEGER; C_NUM_RELOAD_SLOTS : INTEGER; C_COL_MODE : INTEGER; C_COL_PIPE_LEN : INTEGER; C_COL_CONFIG : STRING; C_OPTIMIZATION : INTEGER; C_DATA_PATH_WIDTHS : STRING; C_DATA_IP_PATH_WIDTHS : STRING; C_DATA_PX_PATH_WIDTHS : STRING; C_DATA_WIDTH : INTEGER; C_COEF_PATH_WIDTHS : STRING; C_COEF_WIDTH : INTEGER; C_DATA_PATH_SRC : STRING; C_COEF_PATH_SRC : STRING; C_PX_PATH_SRC : STRING; C_DATA_PATH_SIGN : STRING; C_COEF_PATH_SIGN : STRING; C_ACCUM_PATH_WIDTHS : STRING; C_OUTPUT_WIDTH : INTEGER; C_OUTPUT_PATH_WIDTHS : STRING; C_ACCUM_OP_PATH_WIDTHS : STRING; C_EXT_MULT_CNFG : STRING; C_DATA_PATH_PSAMP_SRC : STRING; C_OP_PATH_PSAMP_SRC : STRING; C_NUM_MADDS : INTEGER; C_OPT_MADDS : STRING; C_OVERSAMPLING_RATE : INTEGER; C_INPUT_RATE : INTEGER; C_OUTPUT_RATE : INTEGER; C_DATA_MEMTYPE : INTEGER; C_COEF_MEMTYPE : INTEGER; C_IPBUFF_MEMTYPE : INTEGER; C_OPBUFF_MEMTYPE : INTEGER; C_DATAPATH_MEMTYPE : INTEGER; C_MEM_ARRANGEMENT : INTEGER; C_DATA_MEM_PACKING : INTEGER; C_COEF_MEM_PACKING : INTEGER; C_FILTS_PACKED : INTEGER; C_LATENCY : INTEGER; C_HAS_ARESETn : INTEGER; C_HAS_ACLKEN : INTEGER; C_DATA_HAS_TLAST : INTEGER; C_S_DATA_HAS_FIFO : INTEGER; C_S_DATA_HAS_TUSER : INTEGER; C_S_DATA_TDATA_WIDTH : INTEGER; C_S_DATA_TUSER_WIDTH : INTEGER; C_M_DATA_HAS_TREADY : INTEGER; C_M_DATA_HAS_TUSER : INTEGER; C_M_DATA_TDATA_WIDTH : INTEGER; C_M_DATA_TUSER_WIDTH : INTEGER; C_HAS_CONFIG_CHANNEL : INTEGER; C_CONFIG_SYNC_MODE : INTEGER; C_CONFIG_PACKET_SIZE : INTEGER; C_CONFIG_TDATA_WIDTH : INTEGER; C_RELOAD_TDATA_WIDTH : INTEGER ); PORT ( aresetn : IN STD_LOGIC; aclk : IN STD_LOGIC; aclken : IN STD_LOGIC; s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tlast : IN STD_LOGIC; s_axis_data_tuser : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_data_tdata : IN STD_LOGIC_VECTOR(23 DOWNTO 0); s_axis_config_tvalid : IN STD_LOGIC; s_axis_config_tready : OUT STD_LOGIC; s_axis_config_tlast : IN STD_LOGIC; s_axis_config_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_reload_tvalid : IN STD_LOGIC; s_axis_reload_tready : OUT STD_LOGIC; s_axis_reload_tlast : IN STD_LOGIC; s_axis_reload_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tready : IN STD_LOGIC; m_axis_data_tlast : OUT STD_LOGIC; m_axis_data_tuser : OUT STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tdata : OUT STD_LOGIC_VECTOR(31 DOWNTO 0); event_s_data_tlast_missing : OUT STD_LOGIC; event_s_data_tlast_unexpected : OUT STD_LOGIC; event_s_data_chanid_incorrect : OUT STD_LOGIC; event_s_config_tlast_missing : OUT STD_LOGIC; event_s_config_tlast_unexpected : OUT STD_LOGIC; event_s_reload_tlast_missing : OUT STD_LOGIC; event_s_reload_tlast_unexpected : OUT STD_LOGIC ); END COMPONENT fir_compiler_v7_2_6; ATTRIBUTE X_INTERFACE_INFO : STRING; ATTRIBUTE X_INTERFACE_INFO OF aclk: SIGNAL IS "xilinx.com:signal:clock:1.0 aclk_intf CLK"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tready: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TREADY"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TDATA"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TDATA"; BEGIN U0 : fir_compiler_v7_2_6 GENERIC MAP ( C_XDEVICEFAMILY => "zynq", C_ELABORATION_DIR => "./", C_COMPONENT_NAME => "design_1_FIR_resized4_0", C_COEF_FILE => "design_1_FIR_resized4_0.mif", C_COEF_FILE_LINES => 105, C_FILTER_TYPE => 1, C_INTERP_RATE => 1, C_DECIM_RATE => 5, C_ZERO_PACKING_FACTOR => 1, C_SYMMETRY => 1, C_NUM_FILTS => 1, C_NUM_TAPS => 204, C_NUM_CHANNELS => 1, C_CHANNEL_PATTERN => "fixed", C_ROUND_MODE => 1, C_COEF_RELOAD => 0, C_NUM_RELOAD_SLOTS => 1, C_COL_MODE => 1, C_COL_PIPE_LEN => 4, C_COL_CONFIG => "21", C_OPTIMIZATION => 0, C_DATA_PATH_WIDTHS => "24", C_DATA_IP_PATH_WIDTHS => "24", C_DATA_PX_PATH_WIDTHS => "24", C_DATA_WIDTH => 24, C_COEF_PATH_WIDTHS => "16", C_COEF_WIDTH => 16, C_DATA_PATH_SRC => "0", C_COEF_PATH_SRC => "0", C_PX_PATH_SRC => "0", C_DATA_PATH_SIGN => "0", C_COEF_PATH_SIGN => "0", C_ACCUM_PATH_WIDTHS => "43", C_OUTPUT_WIDTH => 32, C_OUTPUT_PATH_WIDTHS => "32", C_ACCUM_OP_PATH_WIDTHS => "43", C_EXT_MULT_CNFG => "none", C_DATA_PATH_PSAMP_SRC => "0", C_OP_PATH_PSAMP_SRC => "0", C_NUM_MADDS => 21, C_OPT_MADDS => "none", C_OVERSAMPLING_RATE => 1, C_INPUT_RATE => 1, C_OUTPUT_RATE => 5, C_DATA_MEMTYPE => 0, C_COEF_MEMTYPE => 2, C_IPBUFF_MEMTYPE => 2, C_OPBUFF_MEMTYPE => 0, C_DATAPATH_MEMTYPE => 2, C_MEM_ARRANGEMENT => 1, C_DATA_MEM_PACKING => 0, C_COEF_MEM_PACKING => 0, C_FILTS_PACKED => 0, C_LATENCY => 28, C_HAS_ARESETn => 0, C_HAS_ACLKEN => 0, C_DATA_HAS_TLAST => 0, C_S_DATA_HAS_FIFO => 1, C_S_DATA_HAS_TUSER => 0, C_S_DATA_TDATA_WIDTH => 24, C_S_DATA_TUSER_WIDTH => 1, C_M_DATA_HAS_TREADY => 0, C_M_DATA_HAS_TUSER => 0, C_M_DATA_TDATA_WIDTH => 32, C_M_DATA_TUSER_WIDTH => 1, C_HAS_CONFIG_CHANNEL => 0, C_CONFIG_SYNC_MODE => 0, C_CONFIG_PACKET_SIZE => 0, C_CONFIG_TDATA_WIDTH => 1, C_RELOAD_TDATA_WIDTH => 1 ) PORT MAP ( aresetn => '1', aclk => aclk, aclken => '1', s_axis_data_tvalid => s_axis_data_tvalid, s_axis_data_tready => s_axis_data_tready, s_axis_data_tlast => '0', s_axis_data_tuser => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_data_tdata => s_axis_data_tdata, s_axis_config_tvalid => '0', s_axis_config_tlast => '0', s_axis_config_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_reload_tvalid => '0', s_axis_reload_tlast => '0', s_axis_reload_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), m_axis_data_tvalid => m_axis_data_tvalid, m_axis_data_tready => '1', m_axis_data_tdata => m_axis_data_tdata ); END design_1_FIR_resized4_0_arch;
mit
MiddleMan5/233
Experiments/Experiment3-Program_Counter/IPI-BD/Program_Counter/ip/Program_Counter_Counter10bit_0_1/synth/Program_Counter_Counter10bit_0_1.vhd
2
3921
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: CPE233:F17:Counter10bit:1.0 -- IP Revision: 2 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; ENTITY Program_Counter_Counter10bit_0_1 IS PORT ( Din : IN STD_LOGIC_VECTOR(0 TO 9); LOAD : IN STD_LOGIC; INC : IN STD_LOGIC; RESET : IN STD_LOGIC; CLK : IN STD_LOGIC; COUNT : OUT STD_LOGIC_VECTOR(0 TO 9) ); END Program_Counter_Counter10bit_0_1; ARCHITECTURE Program_Counter_Counter10bit_0_1_arch OF Program_Counter_Counter10bit_0_1 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF Program_Counter_Counter10bit_0_1_arch: ARCHITECTURE IS "yes"; COMPONENT Counter10bit IS PORT ( Din : IN STD_LOGIC_VECTOR(0 TO 9); LOAD : IN STD_LOGIC; INC : IN STD_LOGIC; RESET : IN STD_LOGIC; CLK : IN STD_LOGIC; COUNT : OUT STD_LOGIC_VECTOR(0 TO 9) ); END COMPONENT Counter10bit; ATTRIBUTE X_CORE_INFO : STRING; ATTRIBUTE X_CORE_INFO OF Program_Counter_Counter10bit_0_1_arch: ARCHITECTURE IS "Counter10bit,Vivado 2016.4"; ATTRIBUTE CHECK_LICENSE_TYPE : STRING; ATTRIBUTE CHECK_LICENSE_TYPE OF Program_Counter_Counter10bit_0_1_arch : ARCHITECTURE IS "Program_Counter_Counter10bit_0_1,Counter10bit,{}"; ATTRIBUTE X_INTERFACE_INFO : STRING; ATTRIBUTE X_INTERFACE_INFO OF RESET: SIGNAL IS "xilinx.com:signal:reset:1.0 RESET RST"; ATTRIBUTE X_INTERFACE_INFO OF CLK: SIGNAL IS "xilinx.com:signal:clock:1.0 CLK CLK"; BEGIN U0 : Counter10bit PORT MAP ( Din => Din, LOAD => LOAD, INC => INC, RESET => RESET, CLK => CLK, COUNT => COUNT ); END Program_Counter_Counter10bit_0_1_arch;
mit
phpsgi/linguist
samples/VHDL/foo.vhd
91
217
-- VHDL example file library ieee; use ieee.std_logic_1164.all; entity inverter is port(a : in std_logic; b : out std_logic); end entity; architecture rtl of inverter is begin b <= not a; end architecture;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ip/RAT_Decrementer_0_0/sim/RAT_Decrementer_0_0.vhd
1
3014
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:module_ref:Decrementer:1.0 -- IP Revision: 1 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; ENTITY RAT_Decrementer_0_0 IS PORT ( I : IN STD_LOGIC_VECTOR(7 DOWNTO 0); O : OUT STD_LOGIC_VECTOR(7 DOWNTO 0) ); END RAT_Decrementer_0_0; ARCHITECTURE RAT_Decrementer_0_0_arch OF RAT_Decrementer_0_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF RAT_Decrementer_0_0_arch: ARCHITECTURE IS "yes"; COMPONENT Decrementer IS PORT ( I : IN STD_LOGIC_VECTOR(7 DOWNTO 0); O : OUT STD_LOGIC_VECTOR(7 DOWNTO 0) ); END COMPONENT Decrementer; BEGIN U0 : Decrementer PORT MAP ( I => I, O => O ); END RAT_Decrementer_0_0_arch;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim/FIR_sim.ip_user_files/bd/design_1/ip/design_1_cic_compiler_0_1/sim/design_1_cic_compiler_0_1.vhd
2
7237
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:ip:cic_compiler:4.0 -- IP Revision: 10 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY cic_compiler_v4_0_10; USE cic_compiler_v4_0_10.cic_compiler_v4_0_10; ENTITY design_1_cic_compiler_0_1 IS PORT ( aclk : IN STD_LOGIC; s_axis_data_tdata : IN STD_LOGIC_VECTOR(15 DOWNTO 0); s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; m_axis_data_tdata : OUT STD_LOGIC_VECTOR(47 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC ); END design_1_cic_compiler_0_1; ARCHITECTURE design_1_cic_compiler_0_1_arch OF design_1_cic_compiler_0_1 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF design_1_cic_compiler_0_1_arch: ARCHITECTURE IS "yes"; COMPONENT cic_compiler_v4_0_10 IS GENERIC ( C_COMPONENT_NAME : STRING; C_FILTER_TYPE : INTEGER; C_NUM_STAGES : INTEGER; C_DIFF_DELAY : INTEGER; C_RATE : INTEGER; C_INPUT_WIDTH : INTEGER; C_OUTPUT_WIDTH : INTEGER; C_USE_DSP : INTEGER; C_HAS_ROUNDING : INTEGER; C_NUM_CHANNELS : INTEGER; C_RATE_TYPE : INTEGER; C_MIN_RATE : INTEGER; C_MAX_RATE : INTEGER; C_SAMPLE_FREQ : INTEGER; C_CLK_FREQ : INTEGER; C_USE_STREAMING_INTERFACE : INTEGER; C_FAMILY : STRING; C_XDEVICEFAMILY : STRING; C_C1 : INTEGER; C_C2 : INTEGER; C_C3 : INTEGER; C_C4 : INTEGER; C_C5 : INTEGER; C_C6 : INTEGER; C_I1 : INTEGER; C_I2 : INTEGER; C_I3 : INTEGER; C_I4 : INTEGER; C_I5 : INTEGER; C_I6 : INTEGER; C_S_AXIS_CONFIG_TDATA_WIDTH : INTEGER; C_S_AXIS_DATA_TDATA_WIDTH : INTEGER; C_M_AXIS_DATA_TDATA_WIDTH : INTEGER; C_M_AXIS_DATA_TUSER_WIDTH : INTEGER; C_HAS_DOUT_TREADY : INTEGER; C_HAS_ACLKEN : INTEGER; C_HAS_ARESETN : INTEGER ); PORT ( aclk : IN STD_LOGIC; aclken : IN STD_LOGIC; aresetn : IN STD_LOGIC; s_axis_config_tdata : IN STD_LOGIC_VECTOR(0 DOWNTO 0); s_axis_config_tvalid : IN STD_LOGIC; s_axis_config_tready : OUT STD_LOGIC; s_axis_data_tdata : IN STD_LOGIC_VECTOR(15 DOWNTO 0); s_axis_data_tvalid : IN STD_LOGIC; s_axis_data_tready : OUT STD_LOGIC; s_axis_data_tlast : IN STD_LOGIC; m_axis_data_tdata : OUT STD_LOGIC_VECTOR(47 DOWNTO 0); m_axis_data_tuser : OUT STD_LOGIC_VECTOR(0 DOWNTO 0); m_axis_data_tvalid : OUT STD_LOGIC; m_axis_data_tready : IN STD_LOGIC; m_axis_data_tlast : OUT STD_LOGIC; event_tlast_unexpected : OUT STD_LOGIC; event_tlast_missing : OUT STD_LOGIC; event_halted : OUT STD_LOGIC ); END COMPONENT cic_compiler_v4_0_10; ATTRIBUTE X_INTERFACE_INFO : STRING; ATTRIBUTE X_INTERFACE_INFO OF aclk: SIGNAL IS "xilinx.com:signal:clock:1.0 aclk_intf CLK"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TDATA"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TVALID"; ATTRIBUTE X_INTERFACE_INFO OF s_axis_data_tready: SIGNAL IS "xilinx.com:interface:axis:1.0 S_AXIS_DATA TREADY"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tdata: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TDATA"; ATTRIBUTE X_INTERFACE_INFO OF m_axis_data_tvalid: SIGNAL IS "xilinx.com:interface:axis:1.0 M_AXIS_DATA TVALID"; BEGIN U0 : cic_compiler_v4_0_10 GENERIC MAP ( C_COMPONENT_NAME => "design_1_cic_compiler_0_1", C_FILTER_TYPE => 1, C_NUM_STAGES => 4, C_DIFF_DELAY => 1, C_RATE => 125, C_INPUT_WIDTH => 16, C_OUTPUT_WIDTH => 44, C_USE_DSP => 1, C_HAS_ROUNDING => 0, C_NUM_CHANNELS => 1, C_RATE_TYPE => 0, C_MIN_RATE => 125, C_MAX_RATE => 125, C_SAMPLE_FREQ => 1, C_CLK_FREQ => 1, C_USE_STREAMING_INTERFACE => 1, C_FAMILY => "zynq", C_XDEVICEFAMILY => "zynq", C_C1 => 44, C_C2 => 44, C_C3 => 44, C_C4 => 44, C_C5 => 0, C_C6 => 0, C_I1 => 44, C_I2 => 44, C_I3 => 44, C_I4 => 44, C_I5 => 0, C_I6 => 0, C_S_AXIS_CONFIG_TDATA_WIDTH => 1, C_S_AXIS_DATA_TDATA_WIDTH => 16, C_M_AXIS_DATA_TDATA_WIDTH => 48, C_M_AXIS_DATA_TUSER_WIDTH => 1, C_HAS_DOUT_TREADY => 0, C_HAS_ACLKEN => 0, C_HAS_ARESETN => 0 ) PORT MAP ( aclk => aclk, aclken => '1', aresetn => '1', s_axis_config_tdata => STD_LOGIC_VECTOR(TO_UNSIGNED(0, 1)), s_axis_config_tvalid => '0', s_axis_data_tdata => s_axis_data_tdata, s_axis_data_tvalid => s_axis_data_tvalid, s_axis_data_tready => s_axis_data_tready, s_axis_data_tlast => '0', m_axis_data_tdata => m_axis_data_tdata, m_axis_data_tvalid => m_axis_data_tvalid, m_axis_data_tready => '0' ); END design_1_cic_compiler_0_1_arch;
mit
MiddleMan5/233
Experiments/Experiment7-Its_Alive/IPI-BD/RAT/ip/RAT_util_vector_logic_0_0/sim/RAT_util_vector_logic_0_0.vhd
2
3409
-- (c) Copyright 1995-2017 Xilinx, Inc. All rights reserved. -- -- This file contains confidential and proprietary information -- of Xilinx, Inc. and is protected under U.S. and -- international copyright and other intellectual property -- laws. -- -- DISCLAIMER -- This disclaimer is not a license and does not grant any -- rights to the materials distributed herewith. Except as -- otherwise provided in a valid license issued to you by -- Xilinx, and to the maximum extent permitted by applicable -- law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND -- WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES -- AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING -- BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- -- INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and -- (2) Xilinx shall not be liable (whether in contract or tort, -- including negligence, or under any other theory of -- liability) for any loss or damage of any kind or nature -- related to, arising under or in connection with these -- materials, including for any direct, or any indirect, -- special, incidental, or consequential loss or damage -- (including loss of data, profits, goodwill, or any type of -- loss or damage suffered as a result of any action brought -- by a third party) even if such damage or loss was -- reasonably foreseeable or Xilinx had been advised of the -- possibility of the same. -- -- CRITICAL APPLICATIONS -- Xilinx products are not designed or intended to be fail- -- safe, or for use in any application requiring fail-safe -- performance, such as life-support or safety devices or -- systems, Class III medical devices, nuclear facilities, -- applications related to the deployment of airbags, or any -- other applications that could lead to death, personal -- injury, or severe property or environmental damage -- (individually and collectively, "Critical -- Applications"). Customer assumes the sole risk and -- liability of any use of Xilinx products in Critical -- Applications, subject only to applicable laws and -- regulations governing limitations on product liability. -- -- THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS -- PART OF THIS FILE AT ALL TIMES. -- -- DO NOT MODIFY THIS FILE. -- IP VLNV: xilinx.com:ip:util_vector_logic:2.0 -- IP Revision: 2 LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY util_vector_logic_v2_0; USE util_vector_logic_v2_0.util_vector_logic; ENTITY RAT_util_vector_logic_0_0 IS PORT ( Op1 : IN STD_LOGIC_VECTOR(0 DOWNTO 0); Op2 : IN STD_LOGIC_VECTOR(0 DOWNTO 0); Res : OUT STD_LOGIC_VECTOR(0 DOWNTO 0) ); END RAT_util_vector_logic_0_0; ARCHITECTURE RAT_util_vector_logic_0_0_arch OF RAT_util_vector_logic_0_0 IS ATTRIBUTE DowngradeIPIdentifiedWarnings : STRING; ATTRIBUTE DowngradeIPIdentifiedWarnings OF RAT_util_vector_logic_0_0_arch: ARCHITECTURE IS "yes"; COMPONENT util_vector_logic IS GENERIC ( C_OPERATION : STRING; C_SIZE : INTEGER ); PORT ( Op1 : IN STD_LOGIC_VECTOR(0 DOWNTO 0); Op2 : IN STD_LOGIC_VECTOR(0 DOWNTO 0); Res : OUT STD_LOGIC_VECTOR(0 DOWNTO 0) ); END COMPONENT util_vector_logic; BEGIN U0 : util_vector_logic GENERIC MAP ( C_OPERATION => "and", C_SIZE => 1 ) PORT MAP ( Op1 => Op1, Op2 => Op2, Res => Res ); END RAT_util_vector_logic_0_0_arch;
mit
alpenwasser/pitaya
firmware/fpga/p_FIR_sim/FIR_sim.srcs/sources_1/bd/design_1/ipshared/xilinx.com/dds_compiler_v6_0/hdl/dds_compiler_v6_0.vhd
4
25746
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2014" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block BeDk6slWwyJ7dkKWyaZdmI5S1xnQWnB2oiiYkvyYe3ILPohOGwb55RsmeeSbX1QjJu01hxqQuKng /gQKr+nekw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block ASzYKVAZmSO0SmC0FWgRspy8UM6oxvcf3jSUzSQ5aTbQcdQEmkCnyOPWPw5rhfBxgGmpUIes9+yb Y1HX9gskfNW1iUc9hvj0/7i23Dl3Awuv9PwzU2qkFTur1xa+VTaDhjRdBkmelm1XEmzy0fVWfN3E JrqrAgqGTQHZ2JkK6Bo= `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block oJBoHreUf2ZGu1uujJJM+r+7FZbqExapJJyyvy1o9iddxQis4QmRw6/bE0DAY0iOm9OEPedgUYiN HJiQO008872laIEmtmT/BZsMbhdVL80RK/NlqxNSooHOOtA7Q2ooOW5Qroi6pqh15Of2uGz4EX8r QzKai9gyZ1nNfMdTAvc= `protect key_keyowner = "Aldec", key_keyname= "ALDEC15_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block gXcd8sTNtxVLLLKC4rAjsRNsfX1NVlxv5NlbcoCN3RLErB2fm8TB5dri0TbIQGAb+HGHGVOVAHgx uVooaR3J4n0jcKalCdHupCpw5tdmXAARWsN3+yNMWjktBvDZlREeBk2BplNU4DXuIjpyRlcW28oq fXURF5uCQelaIUMgDwAyoK4ndypdafocPYsPsbB7ZcLdDX4H5Le9tBCnXO/3QcalHHXgUWKcLkyn o62h+Ts9twP03kQwoK/zsw/Mj8ubV//CFoyYXoAsGg33zvV6pCpWjHcIR6qmaj3YFStAb9Gwjq47 yV9Y3uGyv5WU5KKhj3xqBA2tQXCqQY863nIZnQ== `protect key_keyowner = "ATRENTA", key_keyname= "ATR-SG-2015-RSA-3", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block ZCOLBlM+DOBMBQ8zvcBqrtqtygwYjI0iydlVEAyokc0UPDasfRQj4taurJsghnxG4bETs5xI8oYV 0HnNJr9QlLNdd6mcJgJqN/c90+zI7I0/hnO/qlv0Pup/OiWbYiiAzYaGPmKRDqi7WYyqSO7I4TS2 AG2Q/zR6LKL+UR1LQcmMcJ4RgLFqPmMasX9iUCz5I9lsv9KntADfsOLwcJl5QoT1i4VZKbohe5Qm MESQHJetAMfbworTVW5vJr8gNUaDSSpP+4845B0JGNCebeUUC8/1KVkOL2aPgIiLRFtWjAGp0OdP Hgc1IPHx2d0B9ihxkm+YRP31ignQS302EQYvBw== `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2016_05", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block NrFXeDUSk0IEdKSAJNgkeyX3IOnuNIcPQAo5W4y9LavsF2f6Nt+rduqEQbagw39p3ash8XtbR/w2 nbOm3koCj/8C0OoRET7PqvN4QJy3y4VTXAZe0/S0IrLxQsNhhv6J/qZfD8QvZ356rQBjqyRt3tes FKIyW/uL9wD45Iy27+yn385eZ31TEAWa3qUWjlZ4QirRNAT1OkORBDIQDHOOlrRwhcFvBqpmP+bt dB3NdDgt5niwoonBSPDFf2StNdLHNsQCxz9zmE4Hap77op41g4Avc9CdLgPyKBKRlvYKlsU5dB+X 7VzJf8Jl3UhqXRVBX0i7dzEKJTZE1Bhvb5jelg== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 16928) `protect data_block YzO9pHxtvhOPxb1qQ4BRxhcexAT6MOvoLoMQ6pEsO3MmgUGxKQPyDpDUSAig0CKHe6C7zFS10HIf z1LTktR+WQLgK5puIGhWBRe49G6eXAVk5x4XcJlcq5nbELFKxFMqyE0iC29t69wCWGtbAp+OxoXP 4On/waZTrarFiqYcS4dcxwamx2QIOREyoc2TvFT9vJlLd35QnK8gfmOSp8V+lczxWH432Nxu5ozd dM0Jk7/ynbGqY0lgnaaBSlg2M6wqLqp/u57hgbf9S3UXnExl4b+4FDY9ezdz6zJx3T0yjl/7Ma3l djyLgS5thvuakSPlsHiij8+fV8EpIU3516L51gqy0wUcfr3KM3qyOLB25J9Q3JrTM+4gTH5ebRV4 1nCqR2QBqW7I6JQBszWQ3ANyndExURqPKbWXvUyh4o/8ZVZ519e/XAiX60jWoEydiUFuUUmY6KNV kPy+XHMxMPeYRyRMggwZfWvd/+6FMTWi4JpGz7jNTYEtnNUPP1oK/PudDJVkv4OlAJkz+oUJ0Lt/ Dv+Dje5k/4BxCmlPKf87zwgfN9oFTqKb8zGRFifF56QAj5xrAe5ojhchHTEu3lnWR36tgV+2hJFP EjOgRtn3ISPK+1tQFXmP+N1qpDmyFtawycmDalYK3XK3D/ZvrNZLMv0MpTOoYu9fIE0P/vCVj1qn eKHhuAJ29pZHbqNlZSg8CDxGZ8jaSbF7xHZcHPGBF3FghN4CaFuvnxH2V+Dnh4Xrz1bzD+ZqNZ7F zYk0wERZDDFWmG+0jWRLUS8Fk5C41wqQddsxT02eiVtStv170cBIt/E3hivC+712vPXLpey7jjCK 3YNfKk9tXvmwzUimtuHE4b5MLf07BY3yc/I8CGlt/EOLircGKU+KeSmxK95aBi+2ucY5A6ewXakS 2nPb0e5RtlnBXyH191NkIfmTEKD5aau57JKyCkwEJqKw4CkQ9aWh5JIVRnBMSQT3LpsL8NLHUBMn 7KBREns5og4ZBVCbe3Pg6rnCemET2PKKBeWgbM/0qX6oFR95RpNKBB9KU4Te7KodHRJU0AynrVPH V/gFjmCtsnDCBs3FK4pierSMxYJpD4Tm/j/MMNfR6Vo9tX3dwc3ctkmgK3W24CDll/ZhbiM7qhch bKbZqAt57ZAyzkaxfhvviBmwkJYFD5+ygIAyaA+/5g+s74A3rEtrzLt4hmUc/PrBpgvCZCynJVfI arbmNz5nA889Un4Rj7t8rJGl/1yLZK8CApLnIhhT3Gf+FXaewMXrF0wf61vzUfg1C3hR6o+My+pX 0Sf33c6Gl+2ztdqpDsKNKeyJfOM/qGQ3L7kzLhmGtLVOTB+Wq8Aa1sT5VLaO3psOcOvLkiRBgfM4 wngrb4MMThiNii67oG6LgeaBHisFbmEK3CaZZ5PwPQuoFPpxWp7RdgPT/mij0fkxwG7NPLrpKTos 99yheDl/EDGNX3X031/kmUWAhxgfR7EZpdAdCdMapg/qnAWtusXHNT3waFvKvUlvlQvbn0yX8p8p JAzmfnbvbdCoYsSqlMR4c4F7pkYuKJotCCccCWA7HvLdGcTs4xudLT5wHBauV1FNAXtnthBJQiZu iyIea9cM/qqvRWRyDM84B6k0nRg8LqpIAv1uzIh4Be4BqoY0hKw50rEbRb+964oQdCywJlY/ubPY 2KERfl/yQeofLP1uDXd8lniXOGIE2eIS4ymLNUXvAjy9P07QsfzOVI075T+3kpUN7AncEEoWCbcZ TZsrAc1dccjdlyy/CZtyMGJWX9is/EU8jNpDXgcPErrDvPW2HUYDbzgd4An8zcfGkHmMDAofho6e OOp1YLL+zbm0HysUnjsnAatDyvmsM423hCLWXB3PWlxOXiq9c081jlxYz5Y2YY4q2yZrEl02NxL/ MZ1w2WyT6pH3QlJ/MSRq3A5fZIw7d/4IrJLnnY03d0DH3MdlgkMtOkov8PTiW70NMSEI2CREG8FU eJyZtdskf/K7r4GQMr1eqRx1Y4wIznvvFdB+xIRLp9wiVBnazd+TCptax743Sxwv+Xni12bfrYdJ /gkzdw1JHf1kyG5XpF9lxHMJRzCu/07kE+6qvJDPwl75TLfwVI0yb9bIpIGzDeZximO9bkbY8uOy hirOLeaOWmMXrnLHINkGbwIOOE1ZsLTenT8+T+bNURvadxK8BLbwzAwkfwWvEINInKjvWhK+91E4 PMpi31TQ/hYqCAeD6zk+LZx1Rf185oykNyG8Al4q9bD0HYRprgvFt0dXCsEA57r7QEpvipnTnbv/ k7KTg0Qm9exa1nF3oAYE/P46+sV/pegy8UjzTq9gPAPHpLVN+aThSUdg78KXc2uou9GyQymUinpz Xhao4MKLgBHpJVcTWNM4Y6e0Bbs/qiFjz7h5wM+7mTKfHQZXDaEVTaxw/mpt8yrMN7mziIdvE6a3 jXSjyWi8YA4D3+hQKgrU1PAaTyBVGCv7d9T2RKbMDgymMCeFMICOom2zKxeCm3h29m74KP13Ag3C dDUrGsHltOSnT/k3NPj24mqdHcoo3WUco2kSnAsuCjCOgpP9v35BOdchO/2CoRfX2T57/rVrgh5J usDBCxOV5XS/H7mmU1xHEZQAo8VlEZ8R4SAyupaY2EAl/j/wePsYu7VWU8TyxgEGJy+O52yu38Qu fC+uLrZ/7Dt2nx2HVaqGCguOJE0HYlvW5GKgt9couqwP8omFZGOUQwjW8WQ0MlT38vTf/Qc9exNu V1ozGlMoSRawQ4o1UlZqypiCv/T5Ah0Im+IMfE4Lp9s9l4UOfv57T8P0h6lyJ4Zhm7ZnFwae1hXc OUbwtlF+3BznRGZogQvdNxP7D15z2msDQnBR+Ki73RwJvwXrJ6fO+d9tuZrYBSH61s+DUTyyjlWi 4ofoug6VKFPHLRu48NtCdMwtKbDSwmljH4xHB7QcsTeNq1baW8WORwt4fAelRVzHhoxq7KC9zCAe wAfHETgL9Bh/J1fsp3uih3MEfOF/s18xpSxnqDSs8Z0PRIyY22CEsSmFPbslViQ7XoR1hINO+Q47 Z2ZsQya2/dZ2jgtNLkSfhU6TFc2cdHKakgvWG6banol6Ai+AQQGCV5HIrcftByYt1EgWCAxhVFfV jq4660P3caCs6if6w8r0gmB71+010pLbAFNfv5A2GSTJof/AdJJEzQB5jgBDf2KlgP7ok809dwfL EEEoBpYGtwJp2b8r+xU0eQArkBZXFmi9pbZv9/2MO2w65tgiocVZX97734JOTYJRRdfR0JvkxTOU iNStDMWK55nSYg9DDYI1k29t83ws9qgdYqgi+KrOA1TuLdOkHzzMoVSfO7D4iaCj48xG8afDmT6i 5wGOR5TxQ1u4+Jv5+KBORxgGZXXpmY2G+CG8QbJAlNz6b3GChXDQ6vwfFA0Hiq3+rjBx5Sr+1SQV Ofqgxc6CLGnr/a5B7rqkF7tipPGY7bLHWGhAjpfMUHHZQeA2ud2dp19mCtPFEJrzfgDvrQAaR/5L fnKBylZJb2h5o2X7IroEFT+BMKqTr+tKm2UED2d9SR6aoHxRqyvqhhdJ995UbUMEjlrOE3z5fNw/ REOGM2DrxEqXfzM1tKvb6exgp+35RZY/Bz7AcoZJ7bQyWrEZXDMV7M49VzUfVVosi+dj9sW/4IAY vxRP3tn8x3dghdzhbABE21YiGrBZdj3AsdG32vccx2FPCEroFNSHnwcTYLTDxjso4n2abqjcHjZg cphLGrkehkxYQ8DESFtBYWf6n2D3Ri6/J6jEYoCVRyA/WjNdYvTacUArt6cuuVSEct8RMHmALKkf srr62C/oD9ejQL92M5IcfVQaizZqGx9D+am8uXSqJ+lsWmXne++doIMh2OIPNySHBHgYtDlzQX0U rcUxd7l5sF7gck6lfEBbSZ/zBzcNyRiugVJ8t5I8wkXCEyaAM8MiOjlnErgFW9BnRvuLGP8FUjXX p75ze7DLS32fSGbd+SWzH6lsgk80XbrQFvEoJXZ9/JTI8KSijDq24udcksiYZ5j+Zutn6aUQrs+h 5mC/qd+mSuSfXnA1iOPuUYFTx9R/N/Uu0NSOwW6X0CG8qcFj7YWfgg5fRW8z6VnbJoS/PsP1PY+d HyBWDn5Ud3Wlv71lBe/Dpi1e8LLrDUqCTLZip9gv9DVqMpxRROD04Ut3a7ixXe4Cqbpp68X6e2nW VPDbjsD7kGKB2mJ3Om0hL2119XC0OMnzvRc6zjZ6LmvWKfIY8RE1m+gseBLoKDOFQAUe9Z/zrsgo KISXspHs5AmtQzMoBpRPOvJh3sE8emvZeFKYyyDDjZlDbErfKZokCAePs05P94BDfNq+jFdoxEGM XusTi0+vaXVhLGPTw5mQ8ITjEEGENcAznPOZnPPqcLiZ4+Uu3amMkLoCE3dKLQfn0eU1fpExSxwu aEsHwfe0rgKfTMi68rbRapUEMBNDAivZm1jNzvaJ2ROQDtKyFshosLzjIYIWJ06B9VBqETRdjsMK PzxuDNYWN+l/kpL27EONLWpaaRuN7bKo9W8rvJvhWacelzw1zKt2dobDeaNriWviyMZsyo4NOraW usTds3mYgZFOosjXC5b8NPH4TnrEUuMEuW6V4m0p2Ky8QhxJWqsEjJq3u+IIam9CQKnwAlV0YWH/ //wnsHRBjiAu17UmLPfRfCI2j555NRvpc59uNi2aL6Rv8FbNv+pZE70jFYd8lhqmZSa71BCJY8Ah vel6hPssqEfZZGPRra0PIt6Lu1uJdELNJE6kV1MXS0ivFd5q9lhgyTUmQS2BoxTrD+lle04u+jwt 7PbK4PoTkotIa/oCFyLHFmzQk9i6G+rq7WOCd2oollY3CR0SpF3JW/qwMeW5focQgSDWhl0q9Pnc xcNe1brv+kd7Mn/QQSRoYwPVtFnBItexerRomRVkORVLaFacw/A7oeMpnM6FaMbb8y82nIS6fnqK Z9FROsYh2qWP5x8OA5DQ/tWpBfhIADrmgf/XrRy2+uFwU+e79xglybaOY5bbra6ptptg2Po52b8t B9JKCZftvvc5SarwcGbO/xX33i1Fi3svHP7Uk6mtOkelygGX/fr01E4kCSxxyiI6U/d2+TEBMxXu gwJBBfyFIEy8qSx93Wk8SoB/kKpL+ePj1lF+0BaaNdmZYyZBJnDyz9GQ++5gZZzTOAN1r1hdVuFC sPP1CpFgbraNVEVnc61ojwNhkm1w2NffbvOe7gTiUk/DDgjfXU1+rvwilundhJ1hxdpCe/sAnGxv HTmoEOPRQCpny+BkRdEGUu1Gp6Hg/kdRhME4G7yNr3YdfJrdGQ2TuWBLpoOfzXLx3OMcHeVyAKcR mHo9nR3tKSRsClSB5Nos+DKQRiOf9TJHKP+c/MpTQtxUf34rseEJcXWFenDiGyRZCj+X29GofxbV RduaRG44xLUZuuVOONVWZSweMrR8jOxl+7yEAM0XMRXAw+u0DH6XS3scmLwIJm6b2A7BmuLAjG6s x1tOKDk4tFRgy47H8f4v+9DoXsCgFUhNux8zd73bnLWtGL3zIiPweMaqEe3CHjPWNZ5bEpMT+Iyw ijWBi7nWJEPwj6OVQ69Byu2ZI/MyBU8PfXq/amjk2SgpOh7UVsWPqNe08NtImltRcXlfaLPtNDSB DvmcR7Pz8lj7o16rolsA3w74VN0G+Zi60AVIIt3WQKL/EfRemNm/FG9GLihPouxlmVOUzxzabEuT Kmd1ZxIL6hLfBpFlxa30zKPBidyke+Zgy/8rxpvOe0IxpUuKWVFA9aWLxg5oHy8N/KsUQ1NR80aZ fyiUJDanyoVu5QR0ODwUEwNGZM+YKnKvrwh2BjwFlMdlrR+cbVBFlQojaM4UGet1YGraabmO4P6u 5JJXU9Zfk8DGe7L/u0fwLKoJ/bIgW08rU2ziIOk8uh0VJhEUDMjAZD97pKT/PUGVhFB9m4v6nTRw Tj7cZhO03wg+/IzsSgXkCNRqvGXNLjdVUWurQ8Ywxdqze0C2nELe0MCMAuMzpdbxXjdzjYXXPzsN Cvxo0i7Et+up//NQdW2wL5fd/lNlC+QkwI7BUN8yx2G4yLCax0JQvWfPIMJLmriOHQKmlTovkkHV BsFepNfHHCG6Zyp72MF8h+Ssp977n9zuxmA3GKNagnQajdBgdrI3g/8cGsvGpgioq1qI515iUs3w 8fPP9s46VoE2RvSbxE7gg/mJA1b6ZbKd7I7UGrHIwHcnDtNx9j6JEkuoi+ZCa4yt9G4iEpTOH59v iKSGNmSl1ddd1KlU81GpLwIVU9S6UyBbV6NkhL1JSiDE9OdBEssABf7iP7EjABp9tdiIASyREhEH vZ5M3jPgbNh1Kr7fnfveG5ZxkUKDrEhLU4LHAJAGSObkVM4ApRTGw+MX8gpTEzSPY1KYRCtk/Lij EZV6z5aMkG5JgaS175wXn1mvsH75zNYizONf7Elu+0KVHcK46gOdMe7ZukmcaYyn5UzmiNKxSgWp ADETRzX7QFOPOJ1pbu/IgOWFp+O/KpPOW+vT7O3JLA1DBLC66DBCduEUrTfr+IzckcOwwLbzHlV2 9xZOr1CUHrtE/Rj5vMbZo/b7b0jdzCOiy0DPamWiqOeQc0FsI43RuvyjC5mf3KkWSXiM3JyWbd/c ICkLFwomr67iyl/K1mLoYLap7FWY2MdVmBWwxuLev968l9NpNFvKI9l99cXkuk9pO1tupk+lx1qO DV6JU+ve5KaJfdIHrLq3+sTNXZAn9luMmx2SjffjnDWMugRnKgKtO3xeiRQkBnJEJ86P6VVg1oCh Lhn/I8qRqGEd+ZgqSmONahAm3rNRC185Lge5Irp/70lToFp/s55sAmxMmYMVXJWpY70wzh7znXh6 sYRtEJISUiMCMjgGxWQ+ZU8tYSYuV49j/R3Wx1vAMJDKQOUlRvpLQFFLHGfjVBf+vNl4KHhVfcRm KQ2BHABAYo18zggbjO5vYebkhdie5ffIWg0xszwH9lBjdeY+caNtC2buEYvjPTEOyTzMhIxmgqz7 G3wHv3BYF2sZRE/tGVl6VqPghJMfMnhjn0i+5+UZPfIxWjnA/+kiCTa0w7FNPD0VEu+sxFRpcue9 Bd4T9u4UZ+H2AtuhsydVoVBW/na1j+jg1BXYDy4fXQRAzeFbfnvHCih1NMw0Oylr7bD+v9CqXNIW nRs/wxcFO5ze6IwrG6NvPNh4x0TnJiPCGLMwFbw2Z3jV1F4El7s/AmdM6G3XkVFzmaSFkT8586U5 6nn+YPkjSHe69qYUn5f0w6Jf74TaWZoKroJoDtZ8ZDQo+lhc+/jk1HvGLQgOGrxuG8Q3ZNroxBdV uP1/VgCgDq0AMGMXxoorOGO/FcxlJGv94ZTRX0T6OzNY5tZ/53O24z3tXugqA3CmOJr3BGbv9lJt dk4WkuABSIl7puHmLiFi7hZxV7/lQdMwCx1XT9ZawuQEtSA0hWrQpWazLZ9C9RdWrHOIiJ1buwo1 UKACGc+gD0u0ZHKYSsPaWVGPEbRunwgYFvswO8DMrZ8kAaW9OMCIfkkcvDoz+g80jJMfCS2xK5NB lF2FSodbEMT4qZGjAxOHAvOT2DhfZPkd+NkIL7DiojocXSJDGxosXVoLM37s54o3YWnC4CDmrWbj 1+MwFg7JKxhfWF9tzILkxHccN3Ga9h/wQqTReyouccn3dj0EkbDJLlGZGf3mL4q9QX5wYJIWHWPc CDkZNUDrIzS1OyZN7hYH61nCRsYR7y+xQ9hMqhpFUawR7GqtYkSHv3JSAKtfxA4WmDeEvI/TPoAp Rg/FCaITXRKqit19VF62IUhB6HPd2dNi5qYozv3RVHDip7VGqu8LSjY2p0TpRcpom4kiaIanTkfs 9VVxMtHNFXUBdQOdqffOBs0zd/65MRvP/ZOXhqjDZYPWbM4trqd4xDeXi+JmgMtXP8YvNGlk9/yX LOxxdl+XdEvsp9bRHz4LXiJ3fcGSpw78dNKOnfe3wJ2LZzfVHveZqC9Cd4ZxksxapaQ/LU05iX6f ckoEpspr0ucg7Nhwd0G/qU1ocqfMhwN2yiKbvCf7+2Izw3pqX6T3N+p9aIeTfATSZ9/m6qHlDqNJ bh7eyHe5W7iFvkxPnkygAJ87KDRkmyj/iELBNm4Q0JqXepBvIdF/JWqeBje3YqliTFlM7jM+bGsK f8kIuZdbfj1bQ0p86DraETvd5MetoV/i9BehZBVma0CKwUVVApJAdbm2qjC2xdMBiok2oYczN1uu MNGIuh/EIPFWI5Y/7Nqn7AEz1nzT/XRYaMs0fnTMIip43CMxgCngspA7H1wQncTK6YamlftFxBYR IQlrxulfLQE2Cwp5jJbxmhc39cgqJiu8hm5EgVGxBIgqZt8vDuZqDZVjbYji2x5bS3SMC1g5viL/ EH+ep6bdOv+Nwd1eMPAnhS7a07GkeRqD0GWu0K0HPJZzFvZwdoJgG8X1mkhRGlp5zK5APseQLHtg 40CmesVPwoksuUzDB+CAF3PwDBMraCLgdSLQQHY4BWS+g+eFoU2JNJQci3zeGrf00cHzUEddWbKo 7JkOOUtszEGPPO7qFOYrjToGeK71nDSjG/xeX76wCgMeN68y7e7Bo2MtheBe+Yp3th4WiZzCNUQR ledyWEC0CXIWypNhSMq0jiPujIJeT0IvdWHm5sAPaFB/gw3DlJ1GWGVcYvHJheQHaUP4MWn5QTlO 1ocVQS0tA/tUCfR9MwgrMUXT023bh1Vx+uE6b1wX1c4d/m3WGYzcuD02sesPnRvZVyTSuZa0Piiz 5gimaV+g0sxQ6dRCzQ/Lq2bDYfbCKmiAv+CDOCCXpP1xPFYv3zNBODOA/vz927d816VLPQPrMyHp ZaLyfjDstK/aAAx+xbFMLOgFiB78ZR2VeRsfX1g6FaTHMBMrr89APYXlCsbgjAEW7MEIMeXgBbQU dI5D2/xul8k26lEkjuzQUc6tPY9Z6DTVVnnYtN2KK2fiadyWNf75iEowE/f+jRvJWNhuud+n2tJb rYm+6k3aEBagDPS9jBUk0e6hzeObaWL+Xuu1mjn9QtXoUigaWJCXzXoZbkEKqmRpqCNoazRZSYT5 pCffAjJiYqDuk0mgXFoqzGZKUTEdsBAsScHlC0S5JNRtnUvt7U5dMpFdn7mGt6D7NXME5Tl6rcB5 tZwDJHhcqHo4KlTk3kbLr/W7lh3Huge5JtcW0l84K2ArbFEwnTYBt9r+bEJ+fF/Lz5CQU1Z6YaYn w2RkoTTarpWmlHSxXUmb1qE2/fEM+jU8QTr4QtHFW/O9EoxqBJEBPtOpRid+gPXkxLyVUvDH0i4+ JNfR6qipM66XC4JOAlHgXYBlqfOaixKDxFMeX+TUS51Nhb/Y6K6epxEyittRrxipPwYOL89aAdJ7 u9MQpI0Dsl6YsC69O0hM8yHA9fsNz/s0w0KjNT8pX/cqzeUZIojtqO9961X5r14pF7rc7G4KcB6x i7XcptPi8rfZg6Cy1HwsxRg1IYrVkTHh9XkjuaB6aKmwxFjt8AfyLkrSzdbNNxnRWvfdAX0e8Tsc i47F0h2uv+cagehGF7n7WmxdTo7enJx5u852uWx8w6ez2Or4qHDvSXwT8WvUs6fOkDGzSHnEkXXh LtkdWf3i8xrbIqcYSnO+aoSYVbVIqO9072O8e+eCSCybC+80UbZ6X3XcHuhGuwALhR503Em10rUr sXcFYjk4d+WxTH3Ysm4OwQt8xq3CW3r+8mKGUDqsb/eEzngmEUKHdN+bG23qeLwKBKxpG7Nst4p6 ZvJp9MqQqfW/CVoJFmORM9oaJXcfHBCPXD96upJtf3U/1Sqe1YStYYG6F5zqLMwyb3lZHVCtF0QX HMKKoAGTRhTxDS1Fgqv3ayNdRHhWLWVA/8illEFqNKCiESZ+m+IGJpxlgCCHVtBdmIML/G4n4Zzl bi6yKbzONJalR3/z8kCitZjRgM7KT/XhKQCzDGEZeQKkTQH1h4EzS+3TO6Kg/uWlgGzxAp5yzJ+8 lVE++e159Iw8VMbhexQjNNGr0YrLqiyHneC5bpUE9+/lGRLAJLSazgbrboTQUlq2iDu8/KotHkFA fdWNzS08Fogk6NfdUp8YPF4KRq/OO1j8sE9oEQH/G/AnZvZj6LLQQaVTpytolTx2XuXqBDLYJJHk T61wX6KTfzTgthKehzkmcq4aA6eueRAqCQun4wJiOR4k+d6Ur8nhHRba+KOxZzpXhR2fDBycTlee Uy6SlGAMxYfEEe3KFPY2hUs/NtGPIj5htit9ziv6st/MslYh4okxv2yEMOFu0mGvQysLlVWtJhR9 krW7nnZqR8naqi8hudtbHrO16tbIPPcQmToY7Nc+qOWZJSuAP/sf5YttaE/lCWALv/4aSmZLtHjQ hvHvbtCtiT9USt1MwvQ8gZlP6JklUWKBhuQ2EjuY27dcaNxk7Pe9XlLTJqvtFDnxWChTFixKg8R7 VlP6MXMKoz98RSutVye3J3vShb5+0sP0qtrndBEyWlvdeGoihNhDhXS0MTAZe+9XZ/e51zux0flg K5BHzij9Qs9osug2VUHXeP2ASbbeQ1LBaW9FwAq4lm9VxDW2xSaBNLLqIQKmly2bR7hRBHOycTPP WvQn35C2kvcjTYgdTyVeZrt1hUdxpljy3MH97OzF1Tx5qoD3xGMkKLD+S9wKnjbVnO18f9LBt/0b OrLOAhSUcCSZkJXkR08VHROYQLDwOx/W+RQa08r/89XXJlcw0bJsK2pRYBpuO9S0tPbbHql4oU2z txaionhnbv9nxAQXLpP4/FfpxzXAqQcwY3IVzIBz6/xP/qcaefqfYx9YQqvvou2R0EMwJ1lUQD9a UtgGEm6y7Yjmycx3xamT9sTLPk1Uj/gotzVU1CGH2b9Wux//EPPkSzmd9LfXb8RhideX6wKpZKY7 n7Mzf9yDqPs44v2vBvAMX4PjhNZDuIG4OMYTkIY0k2RWp6L3kpLPr3DKNE+VmREmX5CrBcX+M40B yWCOX5rUqruiTLgrn7v0a66YyHOKkLxpJ8tvH7cNX1S1zHzo3adbz6nUEYTeyTT+swtSCWjOePyn UdQITCvxed3ie/yOmLT4g2am2H+QeyNvVr7FXl2JtzF7OXSQApY9UJSGDzFEbk/xHBcSNa41K6pb VXiI+mwXM0ERg6UuI8SI/clxcKERFEoBRGuuY7mqKF3kNaaZPZWbsMLhyh0MENE28HKrsRnrUKUm HLnbsoQQ6r9xahKCzccESA7QCztIgRO8T0krA2mKcWEwA29g9WQoapKUJduuukYIhZ/DJumu84iV EFO4Xcsbvi38phcxAnzKH7XdWtvZC2O2FyHvo/Ei0yA086rqoUeLKGOqUKDrXhygNHtLAdmbA0I4 dj03RayANvMXIjCJh4ksL3JgGbgqVuvnUsFp2o3W6rqtL6CAc7mpG1Kb9BgBJ8mX31fhF+MZzClt a1thH+kRklECVH7jTKVxzZufuwxV7kZRO0vj5M+HHRcaB29a1z4wv7A/bjnyee5k1+K57K1j6fmK aan7F1O90N3sy80iLX0zG5uGljYuY+2Zyq0X86BURJ36vl/LVMBf++fuXGYkUG1paMXAu5/SCoDi yESqbW8+iEYG7+6isFJGJ0IHIUVygsgpmjGXJsa+HCPvSP4XlQ3mPa8vq6wHWeVRwYhiexQVtzH+ mWRZpNFmzE8ezHkDVLV7Ac1/HmxEtnc/xvt0KHqOUw1fR6W8sKeaGp2pkZxF/fqb3lYvB/76XrRk 8ApHPHCRX24FKAlio0iZGabjed5Un9IfYEI1s3qH7W1BI8yJ6zLdBYzZldf1y9xh9Y2Mm3JkuMzI JaoRyzjA5HWIZUfiiqfITVQTd1rsSuusVuUaJ1IGouPKK3+O5BO/jMqOnKNBks0yj2FGL/wvL3wP zx3LDayd6iOTSKJjR6UjuUEbv4gWVGvqt0HmjRr7yoo4Ena/bEhGaPsEntSbkEUceRi5W100rVwz B3T9Hny2BBhjuE5PeNMno6/2ZMiAoG03RIe5etXv8KrFw0RnW4vsul1ALgcV85oO38TU7u4vs0ts W0J6WVMlE0+Kfit9zIMxaRWGH+0OyoHzAPCE51dzhmtqH9tHPG4hlMQbGAmsAySa1Y3ddXoQokMT REVj01mu8nnS5gXFP2V/V5Lchbm7Ca9MK+U59hixW0deW6RrOKBiI1GJd1je7xquqs+Kvyp4zvmp i6gRqiVCKGLvwihTlMoiI5EPaV7uqYtPbjhaDyxGAMVkHvURKBdrsmUflyyNqt+b775KhbVs+9Nm BjkJeaQiyTE3o1QSCSbSewKdMyYnX9j4+V++Y7Q574sK5M5EiY0PhZh5ObD2FCpVkqg9F3m6H5jy N1Zfi3PqZ4ASH6AxQOF9OFOxAjR9P2J/WBhUCGWHPRz7JuDsBCOC9Cdwt6RYhQMyVMQw1Bx69cGp wTpEz4BpDMXfuDUoA3DuCYAU44uIQ1eTSm3cds7LQkUuz/h2NZZsvRCv9HlOuC0oxHngPuIEsMVm ou8ZsP81CFH9IDiQNojOnwKThgFo8wMXY1erflq44OayEoPnc6IgsTGxbr9R4OcZ0zRzCmYUv5Fx rXPAQoozbXLje0KfuqJTFXzurc1w1iEVmRcv+Lje5UCSY7Nio/rzcy5TEnUw519styZhRRMLNnsA XbBdMAOPUGNNeQzKV2qC/XFumAJwTpN3xz7emhg/cG3FJr0ja41GnJUKaXhTYsVee7B8xehSQlI9 D54IrhN7iMgudyh7nWaEiP07v/XKabjBu9bjzVwO1NCsqaBZAgtEmsAIQ7XOIWBWQ8wM9aONiPhi +/QlEveXiaXmnbFmuURegSXTEiZG2prtGpQpxpLdEgDHM7i/v4H6TE+dQSHfLKYP8avktUJyanqT bicwHJfgt1hG7K0tG4nNWgkUc8W7vAECuarDv1BJiP1+0nriDS9ashv6eZUe5BC/DcoNZHYO0Dp4 UoQZzkvvRxirbBZgXAsX3LtLu08md4YyZ6wkUjpjsfM5BfDSo6Mr+7Qg74aoSXY1FYdCc54yZzI6 XvGbVCmYazQ1K9QHANssQeSHJ3/AfsP8c1tqoF+I8b3v16R0RUD8tlDwo8W5h97Yb30fwoXHLkpC E4U9ZtXIug3mcctdK7aCJxTlGgntztInfF7d1/Y2fJm0t7hIyRqpGHEE2/ZWJoIIl+WK5v5hLu/k 8sb0GwJvt+ovy4htoI/E8b6lYjYsxCNGeZ+MSJ1nT9O2fcEtOULKkYLKeK1349aTobrWTENYkxQz RaLuFqAc92I4LVYGXz1MxcMf/xhXSoDvwkBBd4LIzILUtx7IO8q9zUBYyBlT+lj4tIGredvfj9QF Wyam/IhTJIo09ZrwFErCFXR1Hh4Z6Ehr7O1ghNHJ/fv69R0YOyqobGZEUxh5HuWq23xC6eLCaqe+ +TkHKyP0KM+E6wWQoOiAyVSVL3mRcap+Y9HvX302x7+ElYKwIJvXqdd3BGNnPjFRFFWPNop4Fr9Q E3HsAFHOxSj87Bb4QBIIwQHXVXBx+6Dh+yk4bPvQmYs9SBHT16YxCHgAEK5XiAp/2rYZWuNBdDy0 kNuYj7u0wFVYHr1w6Eh2nZDkmPmumUp0Zp2bYGI9ndioBi1s3L9gW5mcancUvAyisp8OFGIFopaE Q/9R9PI0ojPvzzsojtnZ424IWN/h4HTRUTpHxdzjJVphgjCp48T3CEPHkGwL8rq3tQoLGiQBJBOl fvWVorOX6k+jJtrKzNlLYS/s+0x9QlAKeQigqGE3CQxautr7cQ/FWP9d05dUypdX665aE/1B6NLP xPn0dgvj3BObN5j6ZJQ00u4Tuzf6PnCHcNVJ08cPGtGpDcCZd6RjGABUiMUwW6WDzDy4fF7buUnC 4LNy0tClIw3z0AZ71I3DKOMjWbBeYUARG5s37SDXOV6qB++sXbPUaYTNJo6LghAhlIYnNLNqyARI ent2KWy+/iJ2N9ILcYsR/p93RObs7wwyA47AuG2C0Unqg45aBelrzAm9MP5VBIwLru1jeZqTJymG oIs7OrIqWN/oeDqfBnDNPC0gbXakIJG7SOtfRpQgH+QUquObGxxi0sxeJwOgjEgNkXjnIHFnXIpU 0ytHtKYP/gKVMvM/CpYER6Fwi+ERZxqpErGtE+K5bfp+WBfz/+GdgDosP+I7hsdWsxG58Fgp3KlI onpPyohdIfUOPo76YAs8M2ap0mgWfzNAg5hfbQhqg2bj5TJcsHkZZ/LG6VTrlpRonL+rLEKimUHo 1rN2VY3ZPC4qyycDhthaEQ4rbOX83EzPhtw3pN7HwQgMo0CvVfAMinvNZghTNbWoh8Su3eBCMGqF dNI4nS1Xz1Xcl744vv1kHpZYQd27ZE4Oh0SuriwqQQqSSrfgwbYDv6brywgg/IAjwpLdbqnVZjVp S5IMCyRvMLGdydrp+v7NWSQ6vGob5a9wRcGnZeJdsMXuNt/9uGi5ykt1ucqx/LkuVIR3Qol7dJm3 MuOLD5MCEPUQbGUeiybOPDp8+dje3T0f+dm7q3C7JLtiLB6MsX8+CqN+rgrGAhx1fIA6aO/DuZRx dfGh4lDRHfu1S7JRUGFtwHU7eDQ35oLzSFeXQXkJOerveV9IUwPfskNzZp+d/cfnqD37wlfKZPBq cnA7yGngXfQe0ViN6WSNh6Dq+RGiynfV46Kcyq4tJCaHAlgMQi/ioA2IgggZgkPaaQXEQVANvhx1 tE7UsWK6aJaBRSoZOJjeEhE3vgUe+4ol0KU+ZZzomY27ckge0gearA2dnL++2CD7d8nP6Qdg+mLe I2SPRqVOHy4WYqMh2I4u5j0rQRiUhG8DbkmtqX6wtcUXLxdDtEOE29HmTJcTW3cRJtyc95TsBAQ+ yy6uVJjBRI37o9/P1fsbcMnO30sAxXanFXUyLfkoYA5toq0OUYhpDYHLjct9vt+AJv6PatHPFCVk rdXeUhoZHHqfWH6Iptut/voQKkL88mCMoq3ZZJS8XP6/kYFUnFjoqUcHbJKI8b+K8kHv/QDZOASw VoBdajWxeIYq8zfLePFjmCIfzRGDBQnM67a8n4g9chxd0vFGR3OYwffydpYJHluA7YZ7HWwOXo4y mMjO8Ofm6X5WCbbrcW1flPsr49ULt1yT7LLdiL31yAHiNwGpXwZtkQTExs1bSLQzT/Y1sz5bHJqQ BBKccb0lFqvvS1pkGa4Sls2RwI4uDlZesxFOG1Y+gi1Lze9pQQGuDFhVhcqMlvMXsz8UI68dXOwy aEKNtSS9DQgoZrjpJgR2ibOk4NHUmVemUFQ55x0sJbFjqHYeU2B4z5zBaAReGp63lvLtW0ewTa2h bb3ADAUZGsx26l/uyFtkuhIgN8QNi4yO4uvRgX/qwsWcOY4oBNj0FhXe1PUT7DqBSI8joHB3SbZU mDklqTpa/Ap6rLAu/iQwR55jSBw/Zgsvl7YhEITOG6Vhq1yi7/kVKpyRAt7/pAUvntgnMVaYT1In R6lhc2loXA1GRTktuYZ/A/DqiXq4eCtfJ0HGR2IgKBhtzeuxww8gk5xe1I6K+iBpQSwisM1V/AVe EnzMMdYeb8WEXAofgCdXfGqpnAWjL4xSbYjSEH4jO/S0xNDEcmvQcmr6CeKY2WhN4qEZx91WiLT7 dAgD6LA4xVVvddpUYxSai22d9DLMa7BxKf0NNb9pKjuIC8sv3NC0HBx+2twq1dW/QMoGHj/Vf+Wq dEo7VbO0H97uHR/ILTRtv7J3sNp14UhB4xMYCP0eMUdkNxr1nHN8h8Ue6KfvGmfYUOGgRoKKnxFz IsUet9y85HUxp1jNiVAhCbDCrGp/VPOM1VozgyirDYIwKXNpDjwidF2ItH54Z1O8HMkM7SahBwkA iZxJGlu9xcyTLrnp+KVjAri+KY74DHkk9xm1qDPwc04g3vKQWR7M/ShsWK96VYhhlaiIiH/PtD5F qL5qKUlDtvEUPTqKRepQqUExJ+Fb1p2xHQg/5EyE2JsKePN8Hu/kvjC2v2LJuUmQyhaYsERTr3nU RUg3NhY6ryb6RVF2VFYOwgLMp8Xynrs0L/l+0Wb2AzUxn+ZirL1mTZu+fxjpDcAZ/q13JXgN8hV2 bkAzxNnXwQoq6Qo6nLgrup0D+4lf2Dz8gYdj2ozeMtxAbU4fxtMfvLM5OvBMUm6yukvLuoy9NhsL rWfcl1dzUL+UKXFR5bl633h1H6wJ6rjS5KxnFQS8cqb62LgKbU3zu/ghgejFKRXLxb5uVi8EIfD8 tbMNTsMjj4QHCyxjDSKsWnpVYrMqAvlqbLPNzlXOaO33MhIRF1sb16/iCgV1/CbTuhr6be2XWuxT ngGamqO8ttqNdUOp440TBE5foy+wdrvCwooNcbZIQTGjDbZeh2BQn45FxCL/K3R1MMBJe1gmiSw+ erZtG2PHHoZEsFSaP68sFTuG/zHBjLdkHvxrWGUMK7FxFtN/j75NkfX/OpXm5Yd9/rLUQntAwmyB p4pXzxLak2JovDBjG9vC2FSxFqIIvXQP6eB/OA+2ryJdEdp9Tthw2/xyuF6YYBZpyBgM3xsNPKGO EDrWg40y9CgxAfvyHizKXiKT3fS6hBSMl0rlpw3jQgXGTrx3q+q6efEY5QzIoHOhh64AQz2gf/8v naRLOxNISQPTl8bZ+2LrHhRpb9+Z8Xgl7HgFoMrrBGuWAsnByBVx/VIMAnlEqx9w6ZlJ0xrJz9dg tKHbjzlIpq8l5ic+SERsRFLbdpRck8Lxo2qVuLt+ckPEV9kkxo5gJ61SeGcr33UjP4hcbeB3sarL iQRK2ZqBIVZZIFfArIQgTk8e4lulfjAV8D7ZrOaLz6+RAv8a1P+kW9V2vNqNmt9aey+vuCdCTM22 PWrm3SoSaA3SdPBeaho1NIMBgLjpmVnMlw6Ds+NULmXcHcHvGXVzjcMokql5HBHMgYvEW/KTQMND B1Osr/RY0qZ+aEzWMV/Ztymu832I99tnzhzlGHSAaxKsHi594ZWCi0M6VdBYpD2uJHcQpEYHJq0H 7C9Y/LZ9z8IDxTXjtTXhly+xVG86ExkDE2xbrlLX92dPwlwSvP3sp1qgvHyosG10j5zx82ojk9eD rQYJbKU3jQmKFLeDtR90E06Sn5uhvajJYOalbbkcYIg7iLtlcELEUc/IKV7hYmzre9tZHXC3aTbI aWSxt5QNLd1vPCA68XcPbGhiG3RSVq+EHZX99jKCCHF7pXEqri2feGLHh1V/9F59KwM4AGqAXiFp 4j+AERv1M/i/JN4Amyw3jHEzO75LOexw+6GmY+QPI6almhyWFFZBYr1RYg37x8CcgFp/41wXi8H6 A7ihT+oSGvYLId+9geSpzsH2jkShF09vKNouTos3LBgmpREhXmiZLBra2DypFbqLhXElI/WumfFo E/o23LTsoffHFZ+pRNnoFbDvA4V8D4HLBa8SQeTQcHsqEEiBNFmeqY7dcQobU4dPo6olo3NLs/QE HXWDhhka6q+Lc0QTO7VtNvjzReriwm1myeDAf2sK00QsSkLjS8+kYkg2T8QSy6AVZkL29s/aXgY7 jX9Bj8qJbEhsMuMK5FIwmgxzrJPM3215sH8Rd8OWS1A39rlBQsVN2MCirVvC0vTExwZcCbN+x0m8 YXg+sXpSLCo2hv2s7NAZipUcqCFF2vJ1ppWczYLRyyHI3B+XbZPyTrQX+ANmar+lXslVoOlsQ6wc c0fo++xLnVngod0oiAfuZfwmA2KMLaQnxUZ6GiW1lGUafuQsCTXVze8afguWxVB+czUoQmUIMjqh Wq0xEfz5Btw6HcMBIo7OZ2DE4y3/SbPDn1Idkt9aFw24SZ1wspeEMEFgtgT+9Qg5Yn01SE2cURLb hsuPjPoioYM1InFAZXEPLN9Bn1fkNVadort0WcQGIdPvopiPYnXt+Ai2ImwJJgK/LbOdoz5IjO8Z GhX10s40Et41oeL/ceGF2nT9M7aMeh8aEkj5HwbwU75jP5VHjN1sMPcWl0fqTqGW88B2QfVfQ9CJ UjORcPGJcgdbedUyGOZ4wP2igHABUDTomfeaR5MGt5WmhxE6Jgr3jM4ws0LF61DcdPWm/h8lhpz2 tAU4DQebGeSuQxYMF+UD6439CfTopWo0OTBZ+Ly9DFKwH8F98RQZa/f5P24jn4nBaT0QSZWDaLdd 015+qPwdVD9V79Nn/pq8vtkE10eM36uvEFo2b1q5uIfSBteLaOnh2r3GJVUYYhZsxJAGvhj2hvPv q0Y9ujLhuUjOsuvpR97EL7UdIsEsftY1I1kGzibmLN8Q/YmdhMhnXaQjhchmIS2BPvUqw1XEk9Is zXkUaFo22PG34XnN34GYuOh/qQLqzHw3qTXF4xXbBO22NfnxZ6BJhZC64yj00F86bV5KhowustMk 2M3niIBP9LL0joSycQKnhJDdGTD8lRQ1XRuDHPMG+6e7emJzNI2VRWdHKGoOrBK5qGzZCslW1XJb zqoEOdio09k88CjP+WBM2MPe7H2S6M8xN1BOzrc36aCs7YwrIy599jG89h7dgg7BjhntHLiV6vht e8cBfnvZD8kYXuf2JQsr/GfkvkovYBtC1gUQ6u4fyFyGgqoriQ3nYHoJbhA98zA9PI3Xu5xgWNB+ ImAaBGYzVl/wK5AcIDCy3QQbwI7qnBcXqonBdxgnreOx+O5vdMT2gxMuQMXn+INrCCPostQIgt6s PXW+/WUwy/3k/YKbgxvt7LGhAliHhqDiyDC4vkOSI9VYRtr+/zV/BAqOJ3bsQgbMKEVo+Cso3Gvc xL+rdJ8HLoknuppwr6N6FvJXnJuDm5fUwzxVGrdNnIlH3iMghcCOlrQ8OJBDQ6DGMTASwk9mDgjv ckWP5ul5RfRxEK7upqQM8WFFzfEjOMpr2zzzfkMSFAvqajIIwo9jIURuhTlafZ0Ix1BXYJeFfEpA OLzormqNenP6y2Ur8PVJJDP4QZuKJRSKMYkn/EtLI+cm97G75wVvb+94LPEM2SGV2zhjVRRLTVF0 DCpmAAuEm4asHv6ssZgK3VZj6VEPTai6psOxP6hiKwklQ7wwaSJnvih2HtNFFuvqrA1AwXFKUHTM 0+tvVuShQFJ0XGC4/BwJMk3xUjsTp8byRi2c2Oxj23txmXxz0JyHvNtb1UIBDWlThKnra4jzn2Jq H6hnFsHLAskdmq1mg/5/OccLoABQwBE9TB2n+Z7W9a0VKYP6ZYXtSqOwhTFC0zrgGOcfpFNfJUiA 6asvunXFA2jnZQ4jG5q/D20D8OF0G73/XvFrwZwx4eXpAep9tXoNmBuFUdZS+OSxUnP1S+wivFac 67HZNlO/d5rN9Wkg/e2fZkzaU4cpMdOia9mcz2XoE44C61PaSZHymn8ExPdDF5IFCQ9sf4UnCLF3 AVaSc9u2jejQwe3cbbLlT45vpANVq8RslipLH39At2K9rQat8pnVVYVB5IOtbKhllcY0PnNPRVpX Y9eHk+U1RL3FSiwvj03092NQNnZ1Mln8Rptg2TecjuAjU/92407/9UTdEDSyUsBdgHb9fmLTk1Gy By8vu9y/ev6avlcD+orjXd1AXqpcNkHd/meov9JNMhz5rfbL5e9nCylkl3J5CZqbrOsEGzDRqRvu fkWifWCPapn2ayh8d8LoWHuTiD7KHg1wwMIOlE74eyXCuDQ6wpP7EYIkgrYzPxshUIbWsKm0ORtI lMYkK26m2aVpzXQFqaUthqddr3Oh6v+XYZ9aTbhEYHzfhfxNtrendwuPjbrSxswprzKdZAAtXqqO 9i5dufLOGyp/ITVnquIjidXj68yxGuxkY8h5pndFrhaD0qFf1RxPtYBv2OY+leeBw/6xagMGmmf+ 5Y7yrpp/B1ofJIhPxejquVFjGNHrqIf+N5XQ/hj03WVjiZfgFlsHqXYoNn3TCeaLjuvw9/HvO2eR Y0aSw1WkMAxZzL2B8QFaxzkTj9Owj8WsfZIK+qfq6PQZ+WNqck/zRiRNRIU5yy65wgQoS8p8W8ev 9UxcUq3z43l4AjPZyua0VSh1MOqf5FgdNd3Y2pO2oFitobWcTDaPr8C525f2Nm4iTNKsKDhjYjY+ 6Ddq9AqYinB7dXhDhEGF5e0Fbx0oW4OBGk/KFgxP9PDKSxjMueIa5gVlY++LbMs0senZYUNIozQs 82OBLq6c8vVrVuI6EuyZ7/SUcAoW6mYG+723pIAqP70nExj93IUaMIh5QJk6kT09mPAP5o7BBxy5 G+kmUONI+GKvXFzPDqeTYVhKrbkk1FKsz8rJoCgHxJ1d4ILXoJFeuWvAXxMeb0zjZbwNJ0OgV5fR eaSS3RYeIQNjghbQwGnddT42eA+j8VeKyMOuvjE6UEaClMjAiLF2MOvCW+qCYpTYyo6xzGIZJ4Tl 5LdokgSLwx6ZU59Rtan6QuQCS9loyrpRS4FejGy/jtBCMttbebYFKlXk0ZtU3IzIF5EHaZKLbB3M 0ukCjH0uFo4BRiPZzDSxzhKvrE6b6fOuGPd5OJABRW24jpjh6siTYgAWgEJ7Ouu3WRiRoUzygmdh P7kCMNxx/pWDfyGuLNfXMPDxC9dGOtTRjqu+sa/lPoHmdCppKl6C+GSuqs1I9M+mM+0/qA6ODbLr 88/5OFleUVM/yNFSf4qDTbyZM6MbBjYj/3F/vHYrxf1ot0NJyOJvNIjgNJbuIzGMtuHoWmv5zAvE v382FbGkNWxAussZqUuptFhamAfe2aMGg/TJBRXV0bjxDSMZswwIhv2FNyfgOCkS2RF0h3fck5y5 WFEkga+q3jiDL/jr6OL8KEhUo6o++15t1mrRILoNjia+8dCuwaNvq2wemCrC9PTG/Nzs0/fBd29I ah+/MuXF/gLW9phUVpB5oFap2ZLqw5DEiAFzMK++dVPBIxSfUCNf+VybZj8ljKTNPc6pTTMxFxvF 0UGc7db8A+JGDvJJWq/d2BVZYxyKCdG1oAtzRCOgrLSM5pGatmPWlH6X5x3wdu5dF7Ja0ptOfUXh bgBPygOlfDDIi4PglrMV0+Ci+zF+bWC9ROQpZpfiq3T6icmevcVu/svievQYxDz7tsWUJC/xsYRK kCRW3Z6tpzrhErrUu8WHdEYDX938a3SKG5F26dr7M9apFPK8xYroLzkohndkSoYesWsUdKgfEuxv sVvoEkwZhJONC6+E4adKG6G9Lk6b8ZwGwwB232iwxAoY8LetCbNWJ3T6eCxogg8j7/aYUthUzQur rJpBMoowXZPryVysuVk8xs0d0KSzNWMSQj2x6o/S5tlaasn2n7xFFLSLpiJBiiS3b9audnDucftU blf3sLsYoaeEMPPkPAMqxohOUPIZ2K38u/Toyo0EW+yi1sUh3aV52cXO4Zb0jt3C71BzS/xC2Ws8 JNl0g82Ey1HOfvQeCUH6huDT75UePoIe1vWJ2Ol6Kdxn7aywiI0Th+xC86mlgxIRcGtAoBupdwgH HHurE5YbigtEfHY8dLTYu8u/RQOe4dcBX+kP1z36jiMcLlXMTD1wSkfn4Fqa/6zNV+5NWP+Zm1An iehhj6mhwAzKrIzU5LMfVjtGQN/2QQQKJnxRPEyVTLbq8q1VZdivhPvLvEdivL6lL8kSWUTi10mj dLI7XAUiGRGwhVbKHvvaJP9eOp0mYIybbLn248RzFhEZvBZePnL5XPdQnOFQHwu05eNriJEa43VH Fii6IGM2U7N0EkMbLCEkgdB0zuLcVZ0zKn1tb78urdt6Q6wvFBW1mijxoRy0ylXdEILiHhxAktAh cYW8MBE9THvlAlIHaUTkX+DHuvSBKrD/+HhfW6XEge8RqtSNKje3SFQ+1mSqOc85aOMtOjYPrK0s dMXQxihdaexXpBf9c6f2XXhyxGosZuU6YpaYo0wI7noeeaXhv8i8uvVQL/+1waMh3aQFxZlzMPL6 j/upyLJpiNGxFi5Jm3o87Gxj5ZOz3Yf4wBfA8jrqp1biMLS3WiAXdUspWo4rSWzRdfRSG5pOibNt yu+cozOxoIYxzR1CVhvx8DPqnb+/srRgoq6N9NFwK1KqSwvH1IxJS2aqzGdcEYYAKH2CLuWAKDDP +88FyVMJTvRl3NkGLCMXkyBwBQfzJz8UMVnvSpWWZBH83Yhue7X0BSOHSw1n9L8tAhLfetAOJukF Vfs3yIEfkanXnoth0OFBBNyUs+a3IrAXvD5CfHD5bxz0KQ2lrHEM8eyfLkDBd9dloFuiGS3eWpyn znmYmWN2pgkzuEqGDtkLo/B2dHCRVS0vt/acTyQCrQ59i90OF6xkbRHu99Bij/ouFVb4W566Lydv 0+8cNSwTCoDvStaE2VGAlhfsVB0k9RkkUzxaB3tjDKbz0EQ/nwdubUgWLFdhxZ710gW0FwUfuF0C c0bmAlZu5IrGgkpFB0wa6vPHh1mzytP3ztGdt2wBoeh8jmGCuqej9qKH4yGSRFXhaQVC0PX/MBcL 8vTt2d+JVFGPqrgg3HDZZUUXuL0k1Z7a9SR0BscHSxbYjYrbAuGVFpANQy0Qze38lgrxZO22TX8W onb4ZuO2QPXg7n54s1JIKRqsMVFPO3D6alHOEi39LdjboAX6ksK4fbDprQEFcRNyzqK7mV/hunMj NulM8BQJ8E17PwEnup/ofDlqIDsCRblqlVIULBPbcWjGtFM+AYIcKf80XRf96sOszVyA2n1Dit4= `protect end_protected
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/IPI-BD/RAT/ipshared/e147/xlconstant.vhd
9
1104
------------------------------------------------------------------------ -- -- Filename : xlconstant.vhd -- -- Date : 06/05/12 -- -- Description : VHDL description of a constant block. This -- block does not use a core. -- ------------------------------------------------------------------------ ------------------------------------------------------------------------ -- -- Entity : xlconstant -- -- Architecture : behavior -- -- Description : Top level VHDL description of constant block -- ------------------------------------------------------------------------ library IEEE; use IEEE.std_logic_1164.all; use IEEE.numeric_std.all; entity xlconstant is generic ( CONST_VAL : std_logic_vector := "1"; -- Din lsb position to constant to CONST_WIDTH : integer := 1); -- Width of output port ( dout : out std_logic_vector (CONST_WIDTH-1 downto 0) ); end xlconstant; architecture behavioral of xlconstant is begin dout <= CONST_VAL; end behavioral;
mit
MiddleMan5/233
Experiments/Experiment8-GeterDone/RTL/FlagReg.vhd.vhd
2
958
-- -- A flip-flop to store the the zero, carry, and interrupt flags. -- To be used in the RAT CPU. -- -- library IEEE; use IEEE.STD_LOGIC_1164.ALL; entity FlagReg is Port ( IN_FLAG : in STD_LOGIC; --flag input LD : in STD_LOGIC; --load the out_flag with the in_flag value SET : in STD_LOGIC; --set the flag to '1' CLR : in STD_LOGIC; --clear the flag to '0' CLK : in STD_LOGIC; --system clock OUT_FLAG : out STD_LOGIC); --flag output end FlagReg; architecture Behavioral of FlagReg is begin process(CLK) begin if( rising_edge(CLK) ) then if( LD = '1' ) then OUT_FLAG <= IN_FLAG; elsif( SET = '1' ) then OUT_FLAG <= '1'; elsif( CLR = '1' ) then OUT_FLAG <= '0'; end if; end if; end process; end Behavioral;
mit
matbur95/ucisw-pro
pro4b/Test1.vhd
6
1855
-- Vhdl test bench created from schematic C:\Users\lab\Desktop\burniak_cyran\pro\schema_example2.sch - Wed Mar 08 13:41:39 2017 -- -- Notes: -- 1) This testbench template has been automatically generated using types -- std_logic and std_logic_vector for the ports of the unit under test. -- Xilinx recommends that these types always be used for the top-level -- I/O of a design in order to guarantee that the testbench will bind -- correctly to the timing (post-route) simulation model. -- 2) To use this template as your testbench, change the filename to any -- name of your choice with the extension .vhd, and use the "Source->Add" -- menu in Project Navigator to import the testbench. Then -- edit the user defined section below, adding code to generate the -- stimulus for your design. -- LIBRARY ieee; USE ieee.std_logic_1164.ALL; USE ieee.numeric_std.ALL; LIBRARY UNISIM; USE UNISIM.Vcomponents.ALL; ENTITY schema_example2_schema_example2_sch_tb IS END schema_example2_schema_example2_sch_tb; ARCHITECTURE behavioral OF schema_example2_schema_example2_sch_tb IS COMPONENT schema_example2 PORT( Clk_50MHz : IN STD_LOGIC; VGA_R : OUT STD_LOGIC; VGA_G : OUT STD_LOGIC; VGA_B : OUT STD_LOGIC; VGA_HS : OUT STD_LOGIC; VGA_VS : OUT STD_LOGIC); END COMPONENT; SIGNAL Clk_50MHz : STD_LOGIC; SIGNAL VGA_R : STD_LOGIC; SIGNAL VGA_G : STD_LOGIC; SIGNAL VGA_B : STD_LOGIC; SIGNAL VGA_HS : STD_LOGIC; SIGNAL VGA_VS : STD_LOGIC; BEGIN UUT: schema_example2 PORT MAP( Clk_50MHz => Clk_50MHz, VGA_R => VGA_R, VGA_G => VGA_G, VGA_B => VGA_B, VGA_HS => VGA_HS, VGA_VS => VGA_VS ); -- *** Test Bench - User Defined Section *** tb : PROCESS BEGIN WAIT; -- will wait forever END PROCESS; -- *** End Test Bench - User Defined Section *** END;
mit
bangonkali/quartus-sockit
soc_system/synthesis/submodules/alt_vipvfr131_common_one_bit_delay.vhd
2
2222
-- Legal Notice: (C)2006 Altera Corporation. All rights reserved. Your -- use of Altera Corporation's design tools, logic functions and other -- software and tools, and its AMPP partner logic functions, and any -- output files any of the foregoing (including device programming or -- simulation files), and any associated documentation or information are -- expressly subject to the terms and conditions of the Altera Program -- License Subscription Agreement or other applicable license agreement, -- including, without limitation, that your use is for the sole purpose -- of programming logic devices manufactured by Altera and sold by Altera -- or its authorized distributors. Please refer to the applicable -- agreement for further details. library ieee; use ieee.std_logic_1164.all; use ieee.numeric_std.all; use ieee.math_real.all; entity alt_vipvfr131_common_one_bit_delay is generic ( DELAY : integer := 0 ); port ( -- clock, enable and reset clock : in std_logic; reset : in std_logic; ena : in std_logic := '1'; -- input and output data : in std_logic; q : out std_logic ); end entity; architecture rtl of alt_vipvfr131_common_one_bit_delay is begin -- check generics assert DELAY >= 0 report "Generic DELAY must greater than or equal to zero" severity ERROR; -- if zero delay is requested, just combinationally pass through no_delay_gen : if DELAY = 0 generate begin q <= data; end generate; -- if one or more cycles of delay have been requested, build a simple -- shift register and do the delaying some_delay_gen : if DELAY > 0 generate -- shift register, to do the required delaying signal shift_register : std_logic_vector(DELAY - 1 downto 0); begin -- clocked process to update shift register shift_reg : process (clock, reset) begin if reset = '1' then shift_register <= (others => '0'); elsif clock'EVENT and clock = '1' then if ena = '1' then for i in 0 to DELAY - 2 loop shift_register(i) <= shift_register(i + 1); end loop; shift_register(DELAY - 1) <= data; end if; end if; end process; -- assign output from end of shift register q <= shift_register(0); end generate; end ;
mit
dangpzanco/sistemas-digitais
muxSIGN.vhd
1
446
library IEEE; use IEEE.Std_Logic_1164.all; entity muxsign is port (w, x, y: in std_logic; selection: in std_logic_vector(4 downto 0); m: out std_logic ); end muxsign; architecture mux_estr of muxsign is begin m <= w when selection = "10011" else x when selection = "10100" else y when selection = "10101" else '0'; end mux_estr; --- w <= SD0 --- x <= SD1 --- y <= SD2 --- selection <= selection --- sign <= m
mit
matbur95/ucisw-pro
pro5a/test_master_right.vhd
1
3838
-------------------------------------------------------------------------------- -- Company: -- Engineer: -- -- Create Date: 13:22:00 05/17/2017 -- Design Name: -- Module Name: C:/Users/lab/Desktop/burniak_cyran/pro5/test_master_right.vhd -- Project Name: pro -- Target Device: -- Tool versions: -- Description: -- -- VHDL Test Bench Created by ISE for module: MASTER -- -- Dependencies: -- -- Revision: -- Revision 0.01 - File Created -- Additional Comments: -- -- Notes: -- This testbench has been automatically generated using types std_logic and -- std_logic_vector for the ports of the unit under test. Xilinx recommends -- that these types always be used for the top-level I/O of a design in order -- to guarantee that the testbench will bind correctly to the post-implementation -- simulation model. -------------------------------------------------------------------------------- LIBRARY ieee; USE ieee.std_logic_1164.ALL; -- Uncomment the following library declaration if using -- arithmetic functions with Signed or Unsigned values USE ieee.numeric_std.ALL; ENTITY test_master_right IS END test_master_right; ARCHITECTURE behavior OF test_master_right IS -- Component Declaration for the Unit Under Test (UUT) COMPONENT MASTER PORT( ADC_DOA : IN std_logic_vector(13 downto 0); ADC_DOB : IN std_logic_vector(13 downto 0); ADC_BUSY : IN std_logic; RST_BUTTON : IN std_logic; CLK : IN std_logic; POS : IN std_logic_vector(19 downto 0); DATA : IN std_logic; DATA_CON : IN std_logic; Line : OUT std_logic_vector(63 downto 0); Blank : OUT std_logic_vector(15 downto 0); ADDR : OUT std_logic_vector(13 downto 0); VGA_COLOR : OUT std_logic_vector(2 downto 0); AMP_WE : OUT std_logic; ADC_Start : OUT std_logic; AMP_DI : OUT std_logic_vector(7 downto 0) ); END COMPONENT; --Inputs signal ADC_DOA : std_logic_vector(13 downto 0) := (others => '0'); signal ADC_DOB : std_logic_vector(13 downto 0) := (others => '0'); signal ADC_BUSY : std_logic := '0'; signal RST_BUTTON : std_logic := '0'; signal CLK : std_logic := '0'; signal POS : std_logic_vector(19 downto 0) := (others => '0'); signal DATA : std_logic := '0'; signal DATA_CON : std_logic := '0'; --Outputs signal Line : std_logic_vector(63 downto 0); signal Blank : std_logic_vector(15 downto 0); signal ADDR : std_logic_vector(13 downto 0); signal VGA_COLOR : std_logic_vector(2 downto 0); signal AMP_WE : std_logic; signal ADC_Start : std_logic; signal AMP_DI : std_logic_vector(7 downto 0); -- Clock period definitions constant CLK_period : time := 10 ns; BEGIN -- Instantiate the Unit Under Test (UUT) uut: MASTER PORT MAP ( ADC_DOA => ADC_DOA, ADC_DOB => ADC_DOB, ADC_BUSY => ADC_BUSY, RST_BUTTON => RST_BUTTON, CLK => CLK, POS => POS, DATA => DATA, DATA_CON => DATA_CON, Line => Line, Blank => Blank, ADDR => ADDR, VGA_COLOR => VGA_COLOR, AMP_WE => AMP_WE, ADC_Start => ADC_Start, AMP_DI => AMP_DI ); -- Clock process definitions CLK_process :process begin CLK <= '0'; wait for CLK_period/2; CLK <= '1'; wait for CLK_period/2; end process; -- Stimulus process stim_proc: process begin -- hold reset state for 100 ns. wait for 100 ns; wait for CLK_period*10; ADC_DOA <= X"A00" & "00"; -- insert stimulus here wait; end process; VGA_proc: process begin wait for CLK_period; POS <= STD_LOGIC_VECTOR(unsigned(POS) + 1); end process; END;
mit
dangpzanco/sistemas-digitais
desloca_esquerda.vhd
1
771
library ieee; use ieee.std_logic_1164.all; entity desloca_esquerda is port ( CLK, RST, EN: in std_logic; sr_in: in std_logic_vector(7 downto 0); sr_out: out std_logic_vector(7 downto 0); FlagM: out std_logic_vector(3 downto 0) ); end desloca_esquerda; architecture behv of desloca_esquerda is signal sr: std_logic_vector(7 downto 0); begin process(CLK, EN, sr_in) begin if RST = '0' then sr <= (others => '0'); elsif (CLK'event and CLK = '1') then if EN = '1' then sr(7 downto 1) <= sr_in(6 downto 0); sr(0) <= '0'; end if; end if; end process; FlagM(3) <= not (sr(7) or sr(6) or sr(5) or sr(4) or sr(3) or sr(2) or sr(1) or sr(0)); FlagM(2) <= sr(7) or sr(6); FlagM(1) <= '0'; FlagM(0) <= sr(7); sr_out <= sr; end behv;
mit
s-kostyuk/course_project_csch
pilot_processor_signed_div/control_unit.vhd
1
2813
library IEEE; use IEEE.std_logic_1164.all; entity control_unit is port ( Clk: in STD_LOGIC; Reset: in STD_LOGIC; X: in STD_LOGIC_vector(8 downto 1); Y: out STD_LOGIC_vector(16 downto 1)); end control_unit; architecture control_unit of control_unit is -- Òèï, èñïîëüçóþùèé ñèìâîëüíîå êîäèðîâàíèå ñîñòîÿíèé àâòîìàòà type State_type is (a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12); signal State, NextState: State_type; begin -- NextState logic (combinatorial) Sreg0_NextState: process (State) begin -- èíèöèàëèçàöèÿ çíà÷åíèé âûõîäîâ y <= (others => '0'); case State is when a1 => NextState <= a2; y(1) <= '1'; y(2) <= '1'; when a2=> if x(1) = '0' then NextState <= a3; y(3) <= '1'; y(4) <= '1'; else NextState <= a11; y(15) <= '1'; end if; when a3=> if x(2) = '0' then NextState <= a4; y(5) <= '1'; else NextState <= a5; y(6) <= '1'; end if; when a4=> if x(2) = '1' then NextState <= a6; y(7) <= '1'; y(8) <= '1'; else NextState <= a1; y(16) <= '1'; end if; when a5=> if x(2) = '0' then NextState <= a6; y(7) <= '1'; y(8) <= '1'; else NextState <= a1; y(16) <= '1'; end if; when a6=> if x(2) = '0' then NextState <= a7; y(9) <= '1'; else NextState <= a7; y(10) <= '1'; end if; when a7=> NextState <= a8; y(11) <= '1'; when a8=> if x(3) = '0' then if x(2) = '0' then NextState <= a9; y(12) <= '1'; else NextState <= a10; y(12) <= '1'; end if; else NextState <= a11; if x(4) = '0' then if x(5) = '0' then y(6) <= '1'; else y(5) <= '1'; end if; end if; end if; when a9=> NextState <= a6; y(5) <= '1'; when a10=> NextState <= a6; y(6) <= '1'; when a11=> NextState <= a12; if x(6) = '0' then if x(7) = '1' then if x(8) = '1' then y(13) <= '1'; end if; end if; else if x(7) = '0' then y(13) <= '1'; elsif x(8) = '0' then y(13) <= '1'; end if; end if; when a12=> NextState <= a1; y(14) <= '1'; when others => NextState <= a1; -- ïðèñâîåíèå çíà÷åíèé âûõîäàì äëÿ ñîñòîÿíèÿ ïî óìîë÷àíèþ --Óñòàíîâêà àâòîìàòà â íà÷àëüíîå ñîñòîÿíèå end case; end process; Sreg0_CurrentState: process (Clk, reset) begin if Reset='0' then State <= a1; -- íà÷àëüíîå ñîñòîÿíèå elsif rising_edge(clk) then State <= NextState; end if; end process; end control_unit;
mit
qynvi/rtl-hamweight
hamweight.vhd
1
782
-- William Fan -- 01/24/2011 -- Hamming Weight RTL library ieee; use ieee.std_logic_1164.all; use ieee.numeric_std.all; entity hamweight is generic (N: positive := 7); port (x: in bit_vector(N downto 0); y: out bit_vector(6 downto 0)); end entity; architecture hw of hamweight is type matrix is array (0 to N+1) of integer range 0 to N+1; signal count: matrix; begin count(0) <= 0; gen: for i in 0 to N generate count(i+1) <= count(i) + 1 WHEN x(i)='1' ELSE count(i); end generate; WITH count(N) SELECT y <= "0000001" when 0, "1001111" when 1, "0010010" when 2, "0000110" when 3, "1001100" when 4, "0100100" when 5, "0100000" when 6, "0001111" when 7, "0000000" when 8, "0110000" when others; end architecture;
mit
dqydj/VGAtonic
Hardware_Rev_B/Widescreen Version Firmware/CPLD Firmware Widescreen/SPI_Slave.vhd
1
5306
----------------------------------------------------------------------------------- -- Top SPI Speed Calculation for Widescreen (Please check my math - no warranties implied) -- To determine top speed, look at worst case and count user clocks -- 1) SPI_CACHE_FULL_FLAG goes high too late for tSU to react -- 2) CACHE_FULL_FLAG(0) = '1' -- 3) CACHE_FULL_FLAG(1) = '1'. User Logic sends reset signal. -- -- -- We can accept up to 7 bits of the full SPI (plus a half clock minus setup -- time, actually, due to "if (ACK_SPI_BYTE = '1')") based on our code - -- so 7.5 clocks of SPI cannot be faster than 3 clocks of User Logic. We write -- the inverse to convert to time, as time is 1/frequency: -- -- (3/7.5)tUSER < tSPI -- -- "How much" less is determined by the setup time on the user logic flip flop, -- so we can constrain it further, and add back the setup time factor: -- -- (7.5 * tSPI) > (3 * tUSER) + tSU + tSU -- tSPI > (3*tUSER + 2*tSU)/7.5 -- -- Example: For a 30 MHz User Clock and a Xilinx XC95144XL-10 with an internal -- logic setup time of 3.0 ns: -- -- tSPI > ((3 * 33.3333) +(3.0 + 3.0))/7.5 = 14.13333 ns -- For that part combination and our code, SPI speed shouldn't exceed -- 70.754 MHz... ---------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; use IEEE.NUMERIC_STD.ALL; entity SPI_Slave is Port ( -------------------------------------------------------- -- SPI Declarations -- -------------------------------------------------------- SEL_SPI : in STD_LOGIC; -- SPI Pins from World EXT_SCK : in STD_LOGIC; EXT_SEL : in STD_LOGIC; EXT_MOSI : in STD_LOGIC; EXT_MISO : out STD_LOGIC; -- SPI Pins from AVR AVR_SCK : in STD_LOGIC; AVR_SEL : in STD_LOGIC; AVR_MOSI : in STD_LOGIC; -- AVR_MISO : out STD_LOGIC; -- One byte FIFO SPI_DATA_CACHE : out STD_LOGIC_VECTOR(7 downto 0) := "00000000"; -- Asynchronous flags for signals to display logic SPI_CACHE_FULL_FLAG : out STD_LOGIC := '0'; SPI_CMD_RESET_FLAG : out STD_LOGIC := '0'; -- Async Flags returned from user logic ACK_USER_RESET : in STD_LOGIC; ACK_SPI_BYTE : in STD_LOGIC ); end SPI_Slave; architecture Behavioral of SPI_Slave is -- Temporary Storage for SPI (Sneaky: cheat by one bit out of 8 to save a flip-flop) signal SPI_DATA_REG : STD_LOGIC_VECTOR(6 downto 0) := "0000000"; -- Counter for our receiver signal SCK_COUNTER : STD_LOGIC_VECTOR(2 downto 0) := "000"; signal SCK : STD_LOGIC := '0'; signal SEL : STD_LOGIC := '0'; signal MOSI : STD_LOGIC := '0'; begin --SEL <= (not SEL_SPI or EXT_SEL) and (SEL_SPI or AVR_SEL); -- Normally High, when SEL_SPI = 0 AVR can drive low. --SCK <= (not SEL_SPI and AVR_SCK) or (SEL_SPI and EXT_SCK); --MOSI <= (not SEL_SPI and AVR_MOSI) or (SEL_SPI and EXT_MOSI); -- Code for SPI receiver SPI_Logic: process (SEL_SPI, SCK, SEL, ACK_USER_RESET, ACK_SPI_BYTE) begin if (SEL_SPI = '1') then SEL <= AVR_SEL; SCK <= AVR_SCK; MOSI <= AVR_MOSI; else SEL <= EXT_SEL; SCK <= EXT_SCK; MOSI <= EXT_MOSI; end if; -- Code to handle 'Mode Reset' in the User Logic if (ACK_USER_RESET = '1') then -- User Logic acknowledges it was reset SPI_CMD_RESET_FLAG <= '0'; else -- User doesn't currently acknowledge a reset if (rising_edge(SEL)) then -- CPLD was just deselected SPI_CMD_RESET_FLAG <= '1'; end if; end if; -- Code to handle our SPI arbitration, reading, and clocking if (ACK_SPI_BYTE = '1') then -- User Logic acknowledges receiving a byte -- Lower the Cache Full flag SPI_CACHE_FULL_FLAG <= '0'; -- If we continue clocking while the user logic is reacting, -- put it into our data register. This is the logic -- which limits the top speed of the logic - but usually you'll be -- hardware limited. if (rising_edge(SCK)) then if (SEL = '0') then SPI_DATA_REG <= SPI_DATA_REG(5 downto 0) & MOSI; SCK_COUNTER <= STD_LOGIC_VECTOR(unsigned(SCK_COUNTER) + 1); end if; end if; else -- NOT currently acknowledging a byte received RISING EDGE -- Normal, conventional, everyday, typical, average SPI logic begins. if (rising_edge(SCK)) then -- Our CPLD is selected if (SEL = '0') then -- If we've just received a whole byte... if (SCK_COUNTER = "111") then SCK_COUNTER <= "000"; SPI_DATA_REG <= "0000000"; -- Put the received byte into the single entry FIFO SPI_DATA_CACHE <= SPI_DATA_REG(6 downto 0) & MOSI; -- To: User Logic... "You've got mail." SPI_CACHE_FULL_FLAG <= '1'; -- We're not full yet so the bits will keep coming else SPI_DATA_REG <= SPI_DATA_REG(5 downto 0) & MOSI; SCK_COUNTER <= STD_LOGIC_VECTOR(unsigned(SCK_COUNTER) + 1); end if; -- CPLD is NOT selected else -- Reset counter, register SCK_COUNTER <= "000"; SPI_DATA_REG <= "0000000"; end if; -- End CPLD Selected end if; -- End Rising SCK edge end if; -- end Byte Received end process; -- end SPI end Behavioral;
mit
dqydj/VGAtonic
Hardware_Rev_A/CPLD Firmware/SPI_Slave.vhd
2
5245
----------------------------------------------------------------------------------- -- Top SPI Speed Calculation (Please check my math - no warranties implied) -- To determine top speed, look at worst case and count user clocks -- 1) SPI_CACHE_FULL_FLAG goes high too late for tSU to react -- 2) CACHE_FULL_FLAG = '1' (Single buffered read to cross domain) -- 3) CACHE_FULL_FLAG & SPI_CACHE_FULL_FLAG. User Logic sends reset signal. -- -- -- We can accept up to 7 bits of the full SPI (plus a half clock minus setup -- time, actually, due to "if (ACK_SPI_BYTE = '1')") based on our code - -- so 7.5 clocks of SPI cannot be faster than 3 clocks of User Logic. We write -- the inverse to convert to time, as time is 1/frequency: -- -- (3/7.5)tUSER < tSPI -- -- "How much" less is determined by the setup time on the user logic flip flop, -- so we can constrain it further, and add back the setup time factor: -- -- (7.5 * tSPI) > (3 * tUSER) + tSU + tSU -- tSPI > (3*tUSER + 2*tSU)/7.5 -- -- Example: For a 25.125 MHz User Clock and a Xilinx XC95144XL-10 with an internal -- logic setup time of 3.0 ns: -- -- tSPI > ((3 * 39.801) +(3.0 + 3.0))/7.5 = 16.7204 ns -- For that part combination and our code, SPI speed shouldn't exceed -- 59.807 MHz... But in practice, I'm running at 62.5 MHz without problems. YMMV. ---------------------------------------------------------------------------------- library IEEE; use IEEE.STD_LOGIC_1164.ALL; use IEEE.NUMERIC_STD.ALL; entity SPI_Slave is Port ( -------------------------------------------------------- -- SPI Declarations -- -------------------------------------------------------- SEL_SPI : in STD_LOGIC; -- SPI Pins from World EXT_SCK : in STD_LOGIC; EXT_SEL : in STD_LOGIC; EXT_MOSI : in STD_LOGIC; EXT_MISO : out STD_LOGIC; -- SPI Pins from AVR AVR_SCK : in STD_LOGIC; AVR_SEL : in STD_LOGIC; AVR_MOSI : in STD_LOGIC; -- AVR_MISO : out STD_LOGIC; -- No need for MISO; the board is backwards here so leave it off. -- One byte FIFO SPI_DATA_CACHE : out STD_LOGIC_VECTOR(7 downto 0) := "00000000"; -- Asynchronous flags for signals sent to display logic SPI_CACHE_FULL_FLAG : out STD_LOGIC := '0'; SPI_CMD_RESET_FLAG : out STD_LOGIC := '0'; -- Async Flags returned from user logic ACK_USER_RESET : in STD_LOGIC; ACK_SPI_BYTE : in STD_LOGIC ); end SPI_Slave; architecture Behavioral of SPI_Slave is -- Temporary Storage for SPI (Sneaky: cheat by one bit out of 8 to save a flip-flop!) signal SPI_DATA_REG : STD_LOGIC_VECTOR(6 downto 0) := "0000000"; -- Counter for our receiver signal SCK_COUNTER : STD_LOGIC_VECTOR(2 downto 0) := "000"; signal SCK : STD_LOGIC := '0'; signal SEL : STD_LOGIC := '0'; signal MOSI : STD_LOGIC := '0'; begin -- Code for SPI receiver SPI_Logic: process (SEL_SPI, SCK, SEL, ACK_USER_RESET, ACK_SPI_BYTE) begin if (SEL_SPI = '1') then SEL <= AVR_SEL; SCK <= AVR_SCK; MOSI <= AVR_MOSI; else SEL <= EXT_SEL; SCK <= EXT_SCK; MOSI <= EXT_MOSI; end if; -- Code to handle 'Mode Reset' in the User Logic if (ACK_USER_RESET = '1') then -- User Logic acknowledges it was reset SPI_CMD_RESET_FLAG <= '0'; else -- User doesn't currently acknowledge a reset if (rising_edge(SEL)) then -- CPLD was just deselected SPI_CMD_RESET_FLAG <= '1'; end if; end if; -- Code to handle our SPI arbitration, reading, and clocking if (ACK_SPI_BYTE = '1') then -- User Logic acknowledges receiving a byte -- Lower the Cache Full flag SPI_CACHE_FULL_FLAG <= '0'; -- If we continue clocking while the user logic is reacting, -- put it into our data register. This is the logic -- which limits the top speed of the logic - but usually you'll be -- hardware limited. if (rising_edge(SCK)) then if (SEL = '0') then SPI_DATA_REG <= SPI_DATA_REG(5 downto 0) & MOSI; SCK_COUNTER <= STD_LOGIC_VECTOR(unsigned(SCK_COUNTER) + 1); end if; end if; else -- NOT currently acknowledging a byte received RISING EDGE -- Normal, conventional, everyday, typical, average SPI logic begins. if (rising_edge(SCK)) then -- Our CPLD is selected if (SEL = '0') then -- If we've just received a whole byte... if (SCK_COUNTER = "111") then SCK_COUNTER <= "000"; SPI_DATA_REG <= "0000000"; -- Put the received byte into the single entry FIFO SPI_DATA_CACHE <= SPI_DATA_REG(6 downto 0) & MOSI; -- To: User Logic... "You've got mail." SPI_CACHE_FULL_FLAG <= '1'; -- We're not full yet so the bits will keep coming else SPI_DATA_REG <= SPI_DATA_REG(5 downto 0) & MOSI; SCK_COUNTER <= STD_LOGIC_VECTOR(unsigned(SCK_COUNTER) + 1); end if; -- CPLD is NOT selected else -- Reset counter, register SCK_COUNTER <= "000"; SPI_DATA_REG <= "0000000"; end if; -- End CPLD Selected end if; -- End Rising SCK edge end if; -- end Byte Received end process; -- end SPI end Behavioral;
mit
rccoder/CU-MicroProgram
code/MUX_tb.vhd
1
2453
-------------------------------------------------------------------------------- -- Company: -- Engineer: -- -- Create Date: 13:32:59 06/16/2015 -- Design Name: -- Module Name: C:/project10/MUX_tb.vhd -- Project Name: project10 -- Target Device: -- Tool versions: -- Description: -- -- VHDL Test Bench Created by ISE for module: MUX -- -- Dependencies: -- -- Revision: -- Revision 0.01 - File Created -- Additional Comments: -- -- Notes: -- This testbench has been automatically generated using types std_logic and -- std_logic_vector for the ports of the unit under test. Xilinx recommends -- that these types always be used for the top-level I/O of a design in order -- to guarantee that the testbench will bind correctly to the post-implementation -- simulation model. -------------------------------------------------------------------------------- LIBRARY ieee; USE ieee.std_logic_1164.ALL; -- Uncomment the following library declaration if using -- arithmetic functions with Signed or Unsigned values --USE ieee.numeric_std.ALL; ENTITY MUX_tb IS END MUX_tb; ARCHITECTURE behavior OF MUX_tb IS -- Component Declaration for the Unit Under Test (UUT) COMPONENT MUX PORT( mode : IN std_logic; next_add : IN std_logic_vector(4 downto 0); op_addr : IN std_logic_vector(4 downto 0); out_add : OUT std_logic_vector(4 downto 0) ); END COMPONENT; --Inputs signal mode : std_logic := '0'; signal next_add : std_logic_vector(4 downto 0) := (others => '0'); signal op_addr : std_logic_vector(4 downto 0) := (others => '0'); --Outputs signal out_add : std_logic_vector(4 downto 0); -- No clocks detected in port list. Replace <clock> below with -- appropriate port name BEGIN -- Instantiate the Unit Under Test (UUT) uut: MUX PORT MAP ( mode => mode, next_add => next_add, op_addr => op_addr, out_add => out_add ); -- Stimulus process stim_proc: process begin -- hold reset state for 100 ns. wait for 20 ns; mode<='0'; next_add<="00010"; op_addr<="01010"; wait for 20 ns; mode<='1'; next_add<="00010"; op_addr<="01010"; wait for 20 ns; next_add<="00011"; op_addr<="01000"; wait for 20 ns; mode<='0'; next_add<="00011"; op_addr<="01000"; -- insert stimulus here wait; end process; END;
mit
Wynjones1/VHDL-Build
example/vga/vga.vhd
2
2562
library IEEE; use IEEE.numeric_std.all; use IEEE.std_logic_1164.all; entity vga_counter is generic(FP : integer; PW : integer; DT : integer; BP : integer); port(clk : in std_logic; reset : in std_logic; valid : out std_logic; sync : out std_logic; pix : out integer); end vga_counter; architecture rtl of vga_counter is signal counter : integer range 0 to FP + PW + DT + BP- 1 := 0; begin process(clk, reset) begin if reset = '1' then counter <= 0; valid <= '0'; sync <= '1'; elsif rising_edge(clk) then if counter < DT - 1 then sync <= '1'; counter <= counter + 1; valid <= '1'; elsif counter < DT + FP - 1 then sync <= '1'; counter <= counter + 1; valid <= '0'; elsif counter < DT + FP + PW - 1 then sync <= '0'; counter <= counter + 1; valid <= '0'; elsif counter < DT + FP + PW + BP - 1 then sync <= '1'; counter <= counter + 1; valid <= '0'; else sync <= '1'; counter <= 0; valid <= '1'; end if; end if; end process; pix <= counter; end rtl; library IEEE; use IEEE.numeric_std.all; use IEEE.std_logic_1164.all; entity vga is port(clk : in std_logic; reset : in std_logic; en : out std_logic; HS : out std_logic; VS : out std_logic; pix_x : out integer; pix_y : out integer); end vga; architecture rtl of vga is component vga_counter is generic(FP : integer; PW : integer; DT : integer; BP : integer); port(clk : in std_logic; reset : in std_logic; valid : out std_logic; sync : out std_logic; pix : out integer); end component; signal hs_en : std_logic := '0'; signal vs_en : std_logic := '0'; signal HS_s : std_logic := '0'; begin HS_counter : vga_counter generic map (16, 96, 640, 48) port map (clk, reset, HS_en, HS_s, pix_x); VS_counter : vga_counter generic map (10, 2, 480, 29) port map (HS_s, reset, VS_en, VS, pix_y); en <= hs_en and vs_en; HS <= HS_s; end rtl;
mit
bangonkali/quartus-sockit
soc_system/synthesis/submodules/alt_vipvfr131_common_pulling_width_adapter.vhd
2
5362
library ieee; use ieee.std_logic_1164.all; use ieee.numeric_std.all; use std.textio.all; use work.alt_vipvfr131_common_package.all; entity alt_vipvfr131_common_pulling_width_adapter is generic ( -- all cusp function units have these NAME : string := ""; OPTIMIZED : integer := OPTIMIZED_ON; FAMILY : integer := FAMILY_STRATIX; -- configuring the input and output widths IN_WIDTH : integer := 16; OUT_WIDTH : integer := 16 ); port ( -- cusp system clock, reset clock : in std_logic; reset : in std_logic; -- interface to cusp ena : in std_logic := '1'; -- input side input_data : in std_logic_vector(IN_WIDTH - 1 downto 0) := (others => '0'); need_input : out std_logic; -- output port output_data : out std_logic_vector(OUT_WIDTH - 1 downto 0) := (others => '0'); pull : in std_logic; pull_en : in std_logic; discard : in std_logic; discard_en : in std_logic ); end entity; architecture rtl of alt_vipvfr131_common_pulling_width_adapter is -- the number of output words which will fit (wholly) into an input word constant N : integer := IN_WIDTH / OUT_WIDTH; -- enough buffers to store N output words type buffers_type is array(integer range <>) of std_logic_vector(OUT_WIDTH - 1 downto 0); signal buffers : buffers_type(N - 1 downto 0); -- a counter counts how many output words we can serve without pulling from the input signal outputs_waiting : std_logic_vector(N - 1 downto 0); signal perform_pull : std_logic; signal perform_pull_delay0 : std_logic; signal perform_pull_delay1 : std_logic; signal perform_discard : std_logic; signal perform_discard_delay0 : std_logic; signal perform_discard_delay1 : std_logic; signal outputs_waiting_delay0 : std_logic; signal outputs_waiting_delay1 : std_logic; begin -- check validity of inputs assert OUT_WIDTH <= IN_WIDTH report "Currently only narrowing output adapters are supported" severity ERROR; -- always output buffer zero output_data <= buffers(0); -- input_en is derived combinationally, but only very simply need_input <= pull and pull_en and outputs_waiting(0); perform_pull <= pull and pull_en; perform_discard <= discard and discard_en; -- every time pull is triggered the counter rotates round and: -- if there are no words stored, input is pulled and captured -- if there are words stored, the stored words are shifted -- either way there should be a new word in buffers(0) on the next cycle -- discard en just causes any outputs waiting to be discarded respond_triggers : process (clock, reset) begin if reset = '1' then buffers <= (others => (others => '0')); outputs_waiting(0) <= '1'; outputs_waiting(N - 1 downto 1) <= (others => '0'); perform_pull_delay0 <= '0'; perform_pull_delay1 <= '0'; perform_discard_delay0 <= '0'; perform_discard_delay1 <= '0'; outputs_waiting_delay0 <= '0'; outputs_waiting_delay1 <= '0'; elsif clock'EVENT and clock = '1' then if ena = '1' then if perform_pull = '1' then -- either way, rotate outputs waiting around to decrease the number of -- outputs waiting, or replace 0 with MAX outputs_waiting <= outputs_waiting(0) & outputs_waiting(N - 1 downto 1); elsif perform_discard = '1' then -- discard causes what is effectively a reset outputs_waiting(0) <= '1'; outputs_waiting(N - 1 downto 1) <= (others => '0'); end if; -- delay the control signals by the latency of the read (2 cycles) perform_pull_delay0 <= perform_pull; perform_pull_delay1 <= perform_pull_delay0; perform_discard_delay0 <= perform_discard; perform_discard_delay1 <= perform_discard_delay0; outputs_waiting_delay0 <= outputs_waiting(0); outputs_waiting_delay1 <= outputs_waiting_delay0; if perform_pull_delay1 = '1' then if outputs_waiting_delay1 = '1' then -- currently no outputs waiting, so this output request will -- have to be serviced by passing a request for a whole new -- input word to the input port -- driving need_input high is dealt with combinationally, so -- all that needs to be done here is capture the resulting -- output -- THE ASSUMPTION IS THAT WHATEVER IS DRIVING THE INPUT HAS -- A TRIGGER TO DATA DELAY OF ZERO for i in 0 to N - 1 loop buffers(i) <= input_data((i + 1) * OUT_WIDTH - 1 downto i * OUT_WIDTH); end loop; else -- currently have outputs waiting, so just shift the buffers -- around to prepare output for the next clock cycle for i in 0 to N - 2 loop buffers(i) <= buffers(i + 1); end loop; end if; elsif perform_discard_delay1 = '1' then -- discard causes what is effectively a reset buffers <= (others => (others => '0')); end if; end if; end if; end process; end architecture rtl;
mit
matbur95/ucisw-pro
pro5a/test_vga.vhd
1
2673
-------------------------------------------------------------------------------- -- Company: -- Engineer: -- -- Create Date: 13:08:57 05/17/2017 -- Design Name: -- Module Name: C:/Users/lab/Desktop/burniak_cyran/pro5/test_vga.vhd -- Project Name: pro -- Target Device: -- Tool versions: -- Description: -- -- VHDL Test Bench Created by ISE for module: vga_init -- -- Dependencies: -- -- Revision: -- Revision 0.01 - File Created -- Additional Comments: -- -- Notes: -- This testbench has been automatically generated using types std_logic and -- std_logic_vector for the ports of the unit under test. Xilinx recommends -- that these types always be used for the top-level I/O of a design in order -- to guarantee that the testbench will bind correctly to the post-implementation -- simulation model. -------------------------------------------------------------------------------- LIBRARY ieee; USE ieee.std_logic_1164.ALL; -- Uncomment the following library declaration if using -- arithmetic functions with Signed or Unsigned values --USE ieee.numeric_std.ALL; ENTITY test_vga IS END test_vga; ARCHITECTURE behavior OF test_vga IS -- Component Declaration for the Unit Under Test (UUT) COMPONENT vga_init PORT( CLK : IN std_logic; VGA_COLOR : IN std_logic_vector(2 downto 0); POS : OUT std_logic_vector(19 downto 0); VGA_R : OUT std_logic; VGA_G : OUT std_logic; VGA_B : OUT std_logic; VGA_HS : OUT std_logic; VGA_VS : OUT std_logic ); END COMPONENT; --Inputs signal CLK : std_logic := '0'; signal VGA_COLOR : std_logic_vector(2 downto 0) := (others => '0'); --Outputs signal POS : std_logic_vector(19 downto 0); signal VGA_R : std_logic; signal VGA_G : std_logic; signal VGA_B : std_logic; signal VGA_HS : std_logic; signal VGA_VS : std_logic; -- Clock period definitions constant CLK_period : time := 10 ns; BEGIN -- Instantiate the Unit Under Test (UUT) uut: vga_init PORT MAP ( CLK => CLK, VGA_COLOR => VGA_COLOR, POS => POS, VGA_R => VGA_R, VGA_G => VGA_G, VGA_B => VGA_B, VGA_HS => VGA_HS, VGA_VS => VGA_VS ); -- Clock process definitions CLK_process :process begin CLK <= '0'; wait for CLK_period/2; CLK <= '1'; wait for CLK_period/2; end process; -- Stimulus process stim_proc: process begin -- hold reset state for 100 ns. wait for 100 ns; wait for CLK_period*10; -- insert stimulus here wait; end process; END;
mit
Wynjones1/VHDL-Build
example/text_display/vga.vhd
1
3628
library IEEE; use IEEE.numeric_std.all; use IEEE.std_logic_1164.all; package vga_counter_comp is type vga_counter_out_t is record sync : std_logic; enable : std_logic; pix : natural; end record; end package; library IEEE; use IEEE.numeric_std.all; use IEEE.std_logic_1164.all; use work.vga_counter_comp.all; entity vga_counter is generic(FP : natural; PW : natural; DT : natural; BP : natural); port(clk : in std_logic; reset : in std_logic; output : out vga_counter_out_t); end vga_counter; architecture rtl of vga_counter is constant COUNT_MAX : natural := FP + PW + DT + BP; subtype counter_t is natural range 0 to COUNT_MAX - 1; signal counter_s : counter_t; signal counter_next_s : counter_t; signal output_next_s : vga_counter_out_t; begin comb : process(counter_s) begin counter_next_s <= (counter_s + 1) mod COUNT_MAX; if counter_s < DT then output_next_s <= ('1', '1', counter_s); -- Display Time elsif counter_s < DT + FP then output_next_s <= ('1', '0', counter_s); -- Front Porch elsif counter_s < DT + FP + PW then output_next_s <= ('0', '0', counter_s); -- Pulse Width else output_next_s <= ('1', '0', counter_s); -- Back Porce end if; end process; seq : process(clk, reset) begin if reset = '1' then output <= ('1', '1', 0); counter_s <= 0; elsif rising_edge(clk) then output <= output_next_s; counter_s <= counter_next_s; end if; end process; end rtl; library IEEE; use IEEE.numeric_std.all; use IEEE.std_logic_1164.all; package vga_comp is subtype width_t is natural range 0 to 640 - 1; subtype height_t is natural range 0 to 480 - 1; type vga_out_t is record en : std_logic; hs : std_logic; vs : std_logic; pix_x : width_t; pix_y : height_t; end record; end package; library IEEE; use IEEE.numeric_std.all; use IEEE.std_logic_1164.all; use work.vga_comp.all; use work.vga_counter_comp.all; entity vga is port(clk : in std_logic; reset : in std_logic; output : out vga_out_t); end vga; architecture rtl of vga is component vga_counter is generic(FP : natural; PW : natural; DT : natural; BP : natural); port(clk : in std_logic; reset : in std_logic; output : out vga_counter_out_t); end component; signal h_counter_out_s : vga_counter_out_t; signal v_counter_out_s : vga_counter_out_t; begin HS_counter : vga_counter generic map (16, 96, 640, 48) port map (clk, reset, h_counter_out_s); VS_counter : vga_counter generic map (10, 2, 480, 29) port map (h_counter_out_s.sync, reset, v_counter_out_s); comb: process(h_counter_out_s, v_counter_out_s) begin output.en <= h_counter_out_s.enable and v_counter_out_s.enable; output.hs <= h_counter_out_s.sync; output.vs <= v_counter_out_s.sync; if h_counter_out_s.pix < 640 then output.pix_x <= h_counter_out_s.pix; else output.pix_x <= 0; end if; if v_counter_out_s.pix < 480 then output.pix_y <= v_counter_out_s.pix; else output.pix_y <= 0; end if; end process; end rtl;
mit
bangonkali/quartus-sockit
soc_system/synthesis/submodules/alt_vipvfr131_common_avalon_mm_bursting_master_fifo.vhd
2
35771
-- Legal Notice: (C)2009 Altera Corporation. All rights reserved. Your -- use of Altera Corporation's design tools, logic functions and other -- software and tools, and its AMPP partner logic functions, and any -- output files any of the foregoing (including device programming or -- simulation files), and any associated documentation or information are -- expressly subject to the terms and conditions of the Altera Program -- License Subscription Agreement or other applicable license agreement, -- including, without limitation, that your use is for the sole purpose -- of programming logic devices manufactured by Altera and sold by Altera -- or its authorized distributors. Please refer to the applicable -- agreement for further details. library ieee; use ieee.std_logic_1164.all; use ieee.numeric_std.all; use std.textio.all; use work.alt_vipvfr131_common_package.all; entity alt_vipvfr131_common_avalon_mm_bursting_master_fifo is generic ( -- all cusp function units have these NAME : string := ""; OPTIMIZED : integer := OPTIMIZED_ON; FAMILY : integer := FAMILY_STRATIX; -- configuring the avalon port type ADDR_WIDTH : integer := 16; DATA_WIDTH : integer := 16; READ_USED : integer := 1; WRITE_USED : integer := 1; -- configuring optimisations CMD_FIFO_DEPTH : integer := 8; RDATA_FIFO_DEPTH : integer := 8; WDATA_FIFO_DEPTH : integer := 8; WDATA_TARGET_BURST_SIZE : integer := 5; RDATA_TARGET_BURST_SIZE : integer := 5; CLOCKS_ARE_SYNC : integer := 1; ADDRESS_GROUP : integer := 1; BYTEENABLE_USED : integer := 1; LEN_BE_WIDTH : integer := 11; BURST_WIDTH : integer := 6; -- interrupts INTERRUPT_USED : INTEGER := 1; INTERRUPT_WIDTH : INTEGER := 8 ); port ( -- cusp system clock, reset clock : in std_logic; reset : in std_logic; -- interface to cusp ena : in std_logic := '1'; ready : out std_logic; -- ??? stall : out std_logic; -- cmd port addr : in std_logic_vector(ADDR_WIDTH-1 downto 0) := (others => '0'); write : in std_logic := '0'; burst : in std_logic := '0'; len_be : in std_logic_vector(LEN_BE_WIDTH-1 downto 0) := (others => '0'); cenable : in std_logic; cenable_en : in std_logic; stall_command : out std_logic; -- JG: new output -- wdata port wdata : in std_logic_vector(DATA_WIDTH-1 downto 0) := (others => '0'); wenable : in std_logic; wenable_en : in std_logic := '0'; stall_write : out std_logic; -- JG: new output -- rdata port rdata : out std_logic_vector(DATA_WIDTH-1 downto 0); renable : in std_logic := '0'; renable_en : in std_logic := '0'; stall_read : out std_logic; -- JG: new output -- interrupt port activeirqs : out std_logic_vector(INTERRUPT_WIDTH-1 DOWNTO 0) := (OTHERS=>'0'); -- interface to avalon av_address : out std_logic_vector(ADDR_WIDTH-1 downto 0); av_burstcount : out std_logic_vector(BURST_WIDTH-1 downto 0); av_writedata : out std_logic_vector(DATA_WIDTH-1 downto 0); av_byteenable : out std_logic_vector((DATA_WIDTH/8)-1 downto 0); av_write : out std_logic; av_read : out std_logic; av_clock : in std_logic; av_reset : in std_logic := '0'; av_readdata : in std_logic_vector(DATA_WIDTH-1 downto 0) := (others => '0'); av_readdatavalid : in std_logic := '0'; av_waitrequest : in std_logic := '0'; av_interrupt : in std_logic_vector(INTERRUPT_WIDTH-1 DOWNTO 0) := (OTHERS=>'0') ); end entity; architecture rtl of alt_vipvfr131_common_avalon_mm_bursting_master_fifo is COMPONENT sync_vec IS GENERIC ( WIDTH : INTEGER ); PORT ( reset : IN STD_LOGIC; clk : IN STD_LOGIC; data_in : IN STD_LOGIC_VECTOR(WIDTH-1 downto 0); data_out : OUT STD_LOGIC_VECTOR(WIDTH-1 downto 0) ); END COMPONENT; constant BE_WIDTH : integer := calculate_be_width(DATA_WIDTH); constant BE_ADDR_BITS : integer := wide_enough_for(BE_WIDTH) - 1; -- a larger target burst size than there is space in the fifo is unsatisfiable -- rather than throw an error, we cap it constant WDATA_TARGET_BURST_SIZE_CAPPED : integer := minimum(WDATA_TARGET_BURST_SIZE, WDATA_FIFO_DEPTH); constant RDATA_TARGET_BURST_SIZE_CAPPED : integer := minimum(RDATA_TARGET_BURST_SIZE, RDATA_FIFO_DEPTH); -- each of the three triggers can cause a stall signal cmd_en_stall, wdata_en_stall, rdata_en_stall : std_logic; -- a type for "commands" type command is record -- base address addr : unsigned(ADDR_WIDTH - 1 downto 0); -- if a range command then the range length, if a not range write command then byte enables, otherwise unused len_be : unsigned(LEN_BE_WIDTH - 1 downto 0); -- type of command, of the form (Write, Range) mode : std_logic_vector(1 downto 0); end record; -- the width of a command word constant CMD_WIDTH : integer := ADDR_WIDTH + LEN_BE_WIDTH + 2; -- the width of the command fifo - less than that of a command word if part of it is known to be constant function calculate_cmd_fifo_width return integer is begin if READ_USED = 1 and WRITE_USED = 1 then return ADDR_WIDTH + LEN_BE_WIDTH + 2; else return ADDR_WIDTH + LEN_BE_WIDTH + 1; end if; end function calculate_cmd_fifo_width; constant CMD_FIFO_WIDTH : integer := calculate_cmd_fifo_width; -- and some functions for converting from commands to std_logic_vectors... function to_std_logic_vector(c : command) return std_logic_vector is variable r : std_logic_vector(CMD_FIFO_WIDTH - 1 downto 0); begin if READ_USED = 1 and WRITE_USED = 1 then r := std_logic_vector(c.addr) & std_logic_vector(c.len_be) & c.mode; else -- no need to waste fifo space on a constant if read only or write only r := std_logic_vector(c.addr) & std_logic_vector(c.len_be) & c.mode(0); end if; return r; end function to_std_logic_vector; -- ...and back again function to_command(s : std_logic_vector) return command is variable u : unsigned(CMD_FIFO_WIDTH - 1 downto 0); variable r : command; begin u := unsigned(s); if READ_USED = 1 and WRITE_USED = 1 then r.addr := u(CMD_FIFO_WIDTH - 1 downto LEN_BE_WIDTH + 2); r.len_be := u(LEN_BE_WIDTH + 1 downto 2); r.mode := s(1 downto 0); else -- either read only or write only r.addr := u(CMD_FIFO_WIDTH - 1 downto LEN_BE_WIDTH + 1); r.len_be := u(LEN_BE_WIDTH downto 1); if READ_USED = 1 then -- read only, force "write" mode bit to zero r.mode := '0' & s(0); else -- write only, force "write" mode bit to one r.mode := '1' & s(0); end if; end if; return r; end function to_command; -- signals for wdata_fifo ports signal wdata_fifo_wrusedw : std_logic_vector(wide_enough_for(WDATA_FIFO_DEPTH) - 1 downto 0) := (others => '0'); signal wdata_fifo_full : std_logic; signal wdata_fifo_almost_full : std_logic; signal wdata_fifo_rdusedw : std_logic_vector(wide_enough_for(WDATA_FIFO_DEPTH) - 1 downto 0) := (others => '0'); signal wdata_fifo_empty : std_logic; signal wdata_fifo_almost_empty : std_logic; signal wdata_fifo_wrreq : std_logic; signal wdata_fifo_data : std_logic_vector(DATA_WIDTH - 1 downto 0); signal wdata_fifo_rdreq : std_logic; signal wdata_fifo_q : std_logic_vector(DATA_WIDTH - 1 downto 0); -- derived wdata_fifo_signals signal wdata_fifo_empty_next : std_logic; -- signals for rdata_fifo ports signal rdata_fifo_wrusedw : std_logic_vector(wide_enough_for(RDATA_FIFO_DEPTH) - 1 downto 0) := (others => '0'); signal rdata_fifo_full : std_logic; signal rdata_fifo_almost_full : std_logic; signal rdata_fifo_rdusedw : std_logic_vector(wide_enough_for(RDATA_FIFO_DEPTH) - 1 downto 0) := (others => '0'); signal rdata_fifo_empty : std_logic; signal rdata_fifo_almost_empty : std_logic; signal rdata_fifo_wrreq : std_logic; signal rdata_fifo_data : std_logic_vector(DATA_WIDTH - 1 downto 0); signal rdata_fifo_rdreq : std_logic; signal rdata_fifo_q : std_logic_vector(DATA_WIDTH - 1 downto 0); -- derived rdata_fifo signals signal outstanding_reads : unsigned(wide_enough_for(RDATA_FIFO_DEPTH + RDATA_TARGET_BURST_SIZE) - 1 downto 0) := (others => '0'); signal rdata_fifo_wrusedw_safe : unsigned(wide_enough_for(RDATA_FIFO_DEPTH) - 1 downto 0) := (others => '0'); signal rdata_fifo_has_space_next_threshold : unsigned(wide_enough_for(RDATA_FIFO_DEPTH) - 1 downto 0) := (others => '0'); -- signal rdata_fifo_has_space_next : std_logic; -- JG: never used signal rdata_fifo_space_available : unsigned(wide_enough_for(RDATA_FIFO_DEPTH) - 1 downto 0) := (others => '0'); signal outstanding_reads_next : unsigned(wide_enough_for(RDATA_FIFO_DEPTH + RDATA_TARGET_BURST_SIZE) - 1 downto 0) := (others => '0'); signal outstanding_reads_valid_next : unsigned(wide_enough_for(RDATA_FIFO_DEPTH + RDATA_TARGET_BURST_SIZE) - 1 downto 0) := (others => '0'); -- signals for cmd_fifo ports signal cmd_fifo_wrusedw : std_logic_vector(wide_enough_for(CMD_FIFO_DEPTH) - 1 downto 0) := (others => '0'); signal cmd_fifo_full : std_logic; signal cmd_fifo_almost_full : std_logic; signal cmd_fifo_rdusedw : std_logic_vector(wide_enough_for(CMD_FIFO_DEPTH) - 1 downto 0) := (others => '0'); signal cmd_fifo_empty : std_logic; signal cmd_fifo_almost_empty : std_logic; signal cmd_fifo_wrreq : std_logic; signal mode : std_logic_vector(1 downto 0); signal cmd_fifo_data : command; signal cmd_fifo_rdreq : std_logic; signal cmd_fifo_q_slv : std_logic_vector(CMD_FIFO_WIDTH - 1 downto 0) := (others => '0'); signal cmd_fifo_q : command; -- signals used by the logic which controls the avalon interface itself signal active_cmd, active_cmd_next, calculate_active_cmd_next : command := ((others => '0'), (others => '0'), (others => '0')); signal have_active_cmd, have_active_cmd_next : std_logic; -- signal active_cmd_expiring : std_logic; -- JG: never used signal writing, reading : std_logic; -- signal cmd_fifo_q_has_range_zero_cmd : std_logic; -- JG: never used signal trying_to_write, trying_to_read : std_logic; signal byte_enable : std_logic_vector((DATA_WIDTH / 8) - 1 downto 0); signal stall_int : std_logic; -- signal trying_to_write_address : std_logic; -- JG: never used -- signal trying_to_write_address_reg : std_logic; -- JG: never used -- signal trying_to_write_data : std_logic; -- JG: never used -- a few handy and gates to help out the cusp internals signal cmd_en, wdata_en, rdata_en : std_logic; signal write_count : unsigned(BURST_WIDTH - 1 downto 0); signal av_burstcount_int : std_logic_vector(BURST_WIDTH-1 downto 0); signal av_readdatavalid_vec : std_logic_vector(0 downto 0); signal trying_to_write_next : std_logic; signal trying_to_read_next : std_logic; signal write_count_next : unsigned(BURST_WIDTH - 1 downto 0); signal av_burstcount_int_next : std_logic_vector(BURST_WIDTH-1 downto 0); signal av_address_int : std_logic_vector(ADDR_WIDTH-1 downto 0); signal av_address_int_next : std_logic_vector(ADDR_WIDTH-1 downto 0); signal pipeline3_en : std_logic; signal pipeline2_en : std_logic; signal target_burst_size : unsigned(LEN_BE_WIDTH - 1 downto 0); signal new_cmd : command := ((others => '0'), (others => '0'), (others => '0')); signal split_valid_next : std_logic; signal split_valid : std_logic; signal split_cmd_next : command := ((others => '0'), (others => '0'), (others => '0')); signal split_cmd : command := ((others => '0'), (others => '0'), (others => '0')); signal dont_split_burst : std_logic; signal byte_enable_next : std_logic_vector((DATA_WIDTH / 8) - 1 downto 0); signal outstanding_writes : unsigned(wide_enough_for(WDATA_FIFO_DEPTH + WDATA_TARGET_BURST_SIZE) - 1 downto 0) := (others => '0'); signal outstanding_writes_valid_next : unsigned(wide_enough_for(WDATA_FIFO_DEPTH + WDATA_TARGET_BURST_SIZE) - 1 downto 0) := (others => '0'); signal wdata_fifo_rdreq_vec : std_logic_vector(0 downto 0); signal pipeline1_en : std_logic; signal cmd_fifo_q_reg : command := ((others => '0'), (others => '0'), (others => '0')); signal cmd_fifo_empty_reg : std_logic; signal pipeline2_overflow_en : std_logic; signal wdata_rdena : std_logic; signal trying_to_write0 : std_logic; signal trying_to_write1 : std_logic; signal av_read_int : std_logic; signal av_read_int0 : std_logic; signal av_read_int1 : std_logic; signal av_address0 : std_logic_vector(ADDR_WIDTH-1 downto 0); signal av_address1 : std_logic_vector(ADDR_WIDTH-1 downto 0); signal av_burstcount0 : std_logic_vector(BURST_WIDTH-1 downto 0); signal av_burstcount1 : std_logic_vector(BURST_WIDTH-1 downto 0); signal av_byteenable0 : std_logic_vector((DATA_WIDTH / 8) - 1 downto 0); signal av_byteenable1 : std_logic_vector((DATA_WIDTH / 8) - 1 downto 0); begin byteenable_used_check_gen : if BYTEENABLE_USED = 1 generate assert (BE_WIDTH <= LEN_BE_WIDTH) report "LEN_BE_WIDTH is less than the required byteenable width" SEVERITY failure; end generate; assert (LEN_BE_WIDTH >= BURST_WIDTH) report "MAX_BURST is less than the TARGET_BURST_SIZE" SEVERITY failure; -- a few handy and gates to help out the cusp internals cmd_en <= cenable and cenable_en; rdata_en <= renable and renable_en; wdata_en <= wenable and wenable_en; -- this generate groups together the largest chunks of code which are only -- required if this master performs write operations write_used_gen : if WRITE_USED = 1 generate -- wdata_fifo stores words of data waiting to be written -- input side connected to cusp wdata triggered port -- output side feeds avalon interface wdata_fifo : alt_vipvfr131_common_general_fifo generic map ( WIDTH => DATA_WIDTH, DEPTH => WDATA_FIFO_DEPTH, CLOCKS_ARE_SAME => CLOCKS_ARE_SYNC = 1, DEVICE_FAMILY => family_string(FAMILY), RDREQ_TO_Q_LATENCY => 3 ) port map ( rdclock => av_clock, wrclock => clock, rdena => wdata_rdena, wrena => '1', reset => reset, wrusedw => wdata_fifo_wrusedw, full => wdata_fifo_full, almost_full => wdata_fifo_almost_full, rdusedw => wdata_fifo_rdusedw, empty => wdata_fifo_empty, almost_empty => wdata_fifo_almost_empty, wrreq => wdata_fifo_wrreq, data => wdata_fifo_data, rdreq => wdata_fifo_rdreq, q => wdata_fifo_q ); -- delay the output of the avalon signals when writes are enabled due -- to the latency in the fifo write_delay : process (av_clock, reset) begin if reset = '1' then trying_to_write0 <= '0'; trying_to_write1 <= '0'; av_read_int0 <= '0'; av_read_int1 <= '0'; av_address0 <= (others => '0'); av_address1 <= (others => '0'); av_burstcount0 <= (others => '0'); av_burstcount1 <= (others => '0'); av_byteenable0 <= (others => '0'); av_byteenable1 <= (others => '0'); elsif av_clock'EVENT and av_clock = '1' then if(wdata_rdena = '1') then trying_to_write0 <= trying_to_write; trying_to_write1 <= trying_to_write0; av_read_int0 <= av_read_int; av_read_int1 <= av_read_int0; av_address0 <= av_address_int; av_address1 <= av_address0; av_burstcount0 <= av_burstcount_int; av_burstcount1 <= av_burstcount0; av_byteenable0 <= byte_enable; av_byteenable1 <= av_byteenable0; end if; end if; end process; wdata_rdena <= not ((trying_to_write1 or av_read_int1) and av_waitrequest); -- cusp interface -- wdata port drives data on to wdata_fifo, stalls when -- there is an attempt to drive data but the fifo is full wdata_fifo_data <= wdata; wdata_fifo_wrreq <= wdata_en and ena; -- this protects us from overwrite wdata_en_stall <= wdata_en and wdata_fifo_full; -- avalon interface (signals used only by writing) -- pull data from the wdata fifo wdata_fifo_rdreq <= writing; av_writedata <= wdata_fifo_q; av_write <= trying_to_write1; av_read <= av_read_int1; av_address <= av_address1; av_burstcount <= av_burstcount1; av_byteenable <= av_byteenable1; -- and track whether it will be empty next non-waitrequested cycle wdata_fifo_empty_next <= wdata_fifo_empty or (trying_to_write and wdata_fifo_almost_empty); -- keep track of how many write requests are waiting to go out onto the avalon switch fabric wdata_fifo_rdreq_vec(0) <= wdata_fifo_rdreq; outstanding_writes_valid_next <= outstanding_writes - 1 when (wdata_fifo_rdreq_vec(0) = '1') else outstanding_writes; update_outstanding_writes : process (av_clock, reset) begin if reset = '1' then outstanding_writes <= (others => '0'); elsif av_clock'EVENT and av_clock = '1' then if have_active_cmd_next = '1' and active_cmd_next.mode(1) = '1' and pipeline2_en = '1' then if active_cmd_next.mode(0) = '0' then -- single outstanding_writes <= to_unsigned(to_integer(outstanding_writes_valid_next) + 1, outstanding_writes'length); else -- burst outstanding_writes <= to_unsigned(to_integer(outstanding_writes_valid_next) + to_integer(active_cmd_next.len_be), outstanding_writes'length); end if; else outstanding_writes <= outstanding_writes_valid_next; end if; end if; end process; end generate; -- this generate ties off signals not used when not writing to constants -- doing this prevents there being Xs in the simulation (which can have undesired effects -- if they are used in command calculations) but ensures that appropriate bits of the -- command logic are optimised away write_not_used_gen : if WRITE_USED /= 1 generate -- setting the wdata fifo signals to model an empty and inactive fifo should be harmless wdata_fifo_wrusedw <= (others => '0'); wdata_fifo_rdusedw <= (others => '0'); wdata_fifo_full <= '0'; wdata_fifo_empty <= '1'; wdata_fifo_almost_full <= '0'; wdata_fifo_almost_empty <= '1'; wdata_fifo_q <= (others => '0'); wdata_fifo_data <= (others => '0'); wdata_fifo_wrreq <= '0'; wdata_fifo_rdreq <= '0'; wdata_fifo_empty_next <= '0'; -- no outstanding writes outstanding_writes <= (others => '0'); -- there can be no wdata stall wdata_en_stall <= '0'; -- write side of avalon interface is inactive av_writedata <= (others => '0'); av_write <= '0'; av_read <= av_read_int; av_address <= av_address_int; av_burstcount <= av_burstcount_int; av_byteenable <= byte_enable; wdata_rdena <= not (av_read_int and av_waitrequest); end generate; -- this generate groups together the largest chunks of code which are only -- required if this master performs read operations read_used_gen_gen : if READ_USED = 1 generate -- rdata_fifo stores words of data which have been received -- from the avalon interface and a waiting to be read by cusp -- input side connected to avalon readdata port -- output side feeds cusp rdata triggered port rdata_fifo : alt_vipvfr131_common_general_fifo generic map ( WIDTH => DATA_WIDTH, DEPTH => RDATA_FIFO_DEPTH, CLOCKS_ARE_SAME => CLOCKS_ARE_SYNC = 1, DEVICE_FAMILY => family_string(FAMILY), RDREQ_TO_Q_LATENCY => 3 ) port map ( rdclock => clock, wrclock => av_clock, rdena => ena, wrena => '1', reset => reset, wrusedw => rdata_fifo_wrusedw, full => rdata_fifo_full, almost_full => rdata_fifo_almost_full, rdusedw => rdata_fifo_rdusedw, empty => rdata_fifo_empty, almost_empty => rdata_fifo_almost_empty, wrreq => rdata_fifo_wrreq, data => rdata_fifo_data, rdreq => rdata_fifo_rdreq, q => rdata_fifo_q ); -- cusp interface -- rdata port reads data from rdata_fifo rdata <= rdata_fifo_q; rdata_fifo_rdreq <= rdata_en; rdata_en_stall <= rdata_en and rdata_fifo_empty; -- to help control at avalon interface end -- keep track of how many read requests are out in the avalon switch fabric -- somewhere - requested but not yet received av_readdatavalid_vec(0) <= av_readdatavalid; outstanding_reads_valid_next <= outstanding_reads - 1 when (av_readdatavalid_vec(0) = '1') else outstanding_reads; update_outstanding_reads : process (av_clock, reset) begin if reset = '1' then outstanding_reads <= (others => '0'); elsif av_clock'EVENT and av_clock = '1' then if have_active_cmd_next = '1' and active_cmd_next.mode(1) = '0' and pipeline2_en = '1' then if active_cmd_next.mode(0) = '0' then -- single outstanding_reads <= to_unsigned(to_integer(outstanding_reads_valid_next) + 1, outstanding_reads'length); else -- burst outstanding_reads <= to_unsigned(to_integer(outstanding_reads_valid_next) + to_integer(active_cmd_next.len_be), outstanding_reads'length); end if; else outstanding_reads <= outstanding_reads_valid_next; end if; end if; end process; -- calculate number of used words in the rdata fifo, taking into account words -- that may be used before the next cusp read by read requests already issued rdata_fifo_space_available <= RDATA_FIFO_DEPTH - unsigned(rdata_fifo_wrusedw); -- avalon interface (signals used only be reading) -- accept read data from the avalon interface and put it in the rdata_fifo -- note that there is no protection from overwrite here - we protect ourselves -- by ensuring that we don't issue more read requests than we can cope with rdata_fifo_data <= av_readdata; rdata_fifo_wrreq <= av_readdatavalid; av_read_int <= trying_to_read; end generate; -- this generate ties off signals not used when not reading to constants -- doing this prevents there being Xs in the simulation (which can have undesired effects -- if they are used in command calculations) but ensures that appropriate bits of the -- command logic are optimised away read_not_used_gen : if READ_USED /= 1 generate -- setting the rdata fifo signals to model an empty and inactive fifo should be harmless rdata_fifo_wrusedw <= (others => '0'); rdata_fifo_rdusedw <= (others => '0'); rdata_fifo_full <= '0'; rdata_fifo_empty <= '1'; rdata_fifo_almost_full <= '0'; rdata_fifo_almost_empty <= '1'; rdata_fifo_q <= (others => '0'); rdata_fifo_data <= (others => '0'); rdata_fifo_wrreq <= '0'; rdata_fifo_rdreq <= '0'; -- rdata port is inactive, there can be no rdata stall rdata <= (others => '0'); rdata_en_stall <= '0'; -- no outstanding reads outstanding_reads <= (others => '0'); -- zero the bits of logic which are used to help the command system know whether reads are ok rdata_fifo_wrusedw_safe <= (others => '0'); rdata_fifo_has_space_next_threshold <= (others => '0'); -- rdata_fifo_has_space_next <= '0'; -- JG: never used -- read side of avalon interface is inactive av_read_int <= '0'; end generate; -- cmd_fifo stores "commands" from cusp to be processed by -- the avalon side -- each command consists of an address, a len_be word and two mode bits cmd_fifo : alt_vipvfr131_common_general_fifo generic map ( WIDTH => CMD_FIFO_WIDTH, DEPTH => CMD_FIFO_DEPTH, CLOCKS_ARE_SAME => CLOCKS_ARE_SYNC = 1, DEVICE_FAMILY => family_string(FAMILY), RDREQ_TO_Q_LATENCY => 1 ) port map ( rdclock => av_clock, wrclock => clock, rdena => '1', wrena => '1', reset => reset, wrusedw => cmd_fifo_wrusedw, full => cmd_fifo_full, almost_full => cmd_fifo_almost_full, rdusedw => cmd_fifo_rdusedw, empty => cmd_fifo_empty, almost_empty => cmd_fifo_almost_empty, wrreq => cmd_fifo_wrreq, data => to_std_logic_vector(cmd_fifo_data), rdreq => cmd_fifo_rdreq, q => cmd_fifo_q_slv ); -- the cusp interface consists of three triggered ports -- cmd (command), wdata (write data) and rdata (read data) -- plus some stall and enable signals and so on -- stall when any of the triggers have caused a stall stall_int <= cmd_en_stall or wdata_en_stall or rdata_en_stall; ready <= not stall_int; stall <= stall_int; -- JG: new outputs to provide stall signals individually stall_command <= cmd_en_stall; stall_write <= wdata_en_stall; stall_read <= rdata_en_stall; -- cmd port drives commands on to cmd_fifo, stalls when -- there is an attempt to drive data but the fifo is full mode <= write & burst; cmd_fifo_data <= (unsigned(addr), unsigned(len_be), mode); cmd_fifo_wrreq <= '1' when cmd_en = '1' and ena = '1' -- this protects us from overflow and (burst = '0' or unsigned(len_be) > to_unsigned(0, LEN_BE_WIDTH)) else -- this discards range zero commands '0'; cmd_en_stall <= cmd_en and cmd_fifo_full; -- the avalon interface reads commands from the command fifo -- and issues read and write requests, using data from the wdata -- fifo for the writes -- it also responds to the requested read data coming back from -- the avalon switch fabric by putting it into the rdata fifo -- pipeline3, issues reads and writes to the avalon mm switch fabric pipeline3_en <= '1' when wdata_rdena = '1' and write_count = to_unsigned(1, BURST_WIDTH) else '0'; -- pipeline2, decides whether there is enough space/data available to issue the next command pipeline2_en <= pipeline3_en and not (have_active_cmd and not (trying_to_read_next or trying_to_write_next)); -- pipeline2_overflow, uses the split_cmd register to store an extra cmd, allowing pipeline1 to stall later than pipeline 2 and 3 -- this breaks the combinatorial path to cmd_fifo_rdreq which greatly improves fmax pipeline2_overflow_en <= pipeline3_en or (not pipeline2_en and not split_valid); -- pipeline1, splits commands into smaller bursts pipeline1_en <= not split_valid; update_active_cmd : process (av_clock, reset) begin if reset = '1' then write_count <= to_unsigned(1, BURST_WIDTH); trying_to_write <= '0'; trying_to_read <= '0'; av_burstcount_int <= (others => '0'); av_address_int <= (others => '0'); byte_enable <= (others => '0'); active_cmd <= ((others => '0'), (others => '0'), (others => '0')); have_active_cmd <= '0'; split_valid <= '0'; split_cmd <= ((others => '0'), (others => '0'), (others => '0')); cmd_fifo_q_reg <= ((others => '0'), (others => '0'), (others => '0')); cmd_fifo_empty_reg <= '1'; elsif av_clock'EVENT and av_clock = '1' then if pipeline3_en = '1' then write_count <= write_count_next; trying_to_write <= trying_to_write_next; trying_to_read <= trying_to_read_next; av_burstcount_int <= av_burstcount_int_next; av_address_int <= av_address_int_next; byte_enable <= byte_enable_next; else if wdata_rdena = '1' then write_count <= write_count - 1; end if; end if; if pipeline2_en = '1' then active_cmd <= active_cmd_next; have_active_cmd <= have_active_cmd_next; end if; if pipeline2_overflow_en = '1' then split_valid <= split_valid_next; split_cmd <= split_cmd_next; end if; if pipeline1_en = '1' then cmd_fifo_q_reg <= cmd_fifo_q; cmd_fifo_empty_reg <= cmd_fifo_empty; end if; end if; end process; -- pipeline stage 0 -- the pipeline stage 1 needs data from the fifo under the following conditions cmd_fifo_rdreq <= pipeline1_en and not cmd_fifo_empty; cmd_fifo_q <= to_command(cmd_fifo_q_slv); -- pipeline stage 1 -- if there is a split (burst than needs to be cut down) or a stall further up the pipeline we use the split cmd registers to save the -- new_cmd. This is then used as the next active cmd. active_cmd_next <= new_cmd when dont_split_burst = '1' else (addr => new_cmd.addr, len_be => target_burst_size, mode => new_cmd.mode); target_burst_size <= to_unsigned(WDATA_TARGET_BURST_SIZE_CAPPED, LEN_BE_WIDTH) when new_cmd.mode(1) = '1' else to_unsigned(RDATA_TARGET_BURST_SIZE_CAPPED, LEN_BE_WIDTH); new_cmd <= split_cmd when split_valid = '1' else cmd_fifo_q_reg; split_valid_next <= have_active_cmd_next and (not dont_split_burst or not pipeline2_en); split_cmd_next <= new_cmd when pipeline2_en = '0' else (addr => (((new_cmd.addr srl BE_ADDR_BITS) + resize(target_burst_size, ADDR_WIDTH)) sll BE_ADDR_BITS), len_be => new_cmd.len_be - target_burst_size, mode => new_cmd.mode); have_active_cmd_next <= not cmd_fifo_empty_reg or split_valid; dont_split_burst <= '1' when new_cmd.len_be <= target_burst_size or new_cmd.mode(0) = '0' else '0'; -- pipeline stage 2 -- if byte enables are in use and the next command will be -- a single write, then pull its byte enables from the bottom -- bits of len_be byte_enable_used_gen : if BYTEENABLE_USED = 1 generate byte_enable_next <= std_logic_vector(active_cmd.len_be(BE_WIDTH - 1 downto 0)) when active_cmd.mode = "10" else (others => '1'); end generate; -- decide whether trying_to_write and trying_to_read should be high on -- the next non-waitrequested cycle update_try_to_write : process (have_active_cmd, active_cmd, wdata_fifo_rdusedw, rdata_fifo_space_available, outstanding_reads, outstanding_writes, trying_to_write, trying_to_read, write_count, av_burstcount_int, av_address_int) begin trying_to_write_next <= trying_to_write; trying_to_read_next <= trying_to_read; write_count_next <= write_count; av_burstcount_int_next <= av_burstcount_int; av_address_int_next <= av_address_int; if have_active_cmd = '0' then -- if no active command next cycle, then no reading and no writing trying_to_write_next <= '0'; trying_to_read_next <= '0'; else av_address_int_next <= std_logic_vector(active_cmd.addr); if active_cmd.mode(1) = '1' then -- if there is enough data available then issue the write if to_integer(unsigned(wdata_fifo_rdusedw)) >= to_integer(outstanding_writes) then if active_cmd.mode(0) = '0' then trying_to_write_next <= '1'; write_count_next <= to_unsigned(1, BURST_WIDTH); av_burstcount_int_next <= std_logic_vector(to_unsigned(1, BURST_WIDTH)); else trying_to_write_next <= '1'; write_count_next <= to_unsigned(to_integer(unsigned(active_cmd.len_be)), BURST_WIDTH); av_burstcount_int_next <= std_logic_vector(resize(active_cmd.len_be, BURST_WIDTH)); end if; else trying_to_write_next <= '0'; end if; -- definitely won't read trying_to_read_next <= '0'; else -- if there is enough space available then issue the read if to_integer(rdata_fifo_space_available) >= to_integer(outstanding_reads) then if active_cmd.mode(0) = '0' then trying_to_read_next <= '1'; av_burstcount_int_next <= std_logic_vector(to_unsigned(1, BURST_WIDTH)); else trying_to_read_next <= '1'; av_burstcount_int_next <= std_logic_vector(resize(active_cmd.len_be, BURST_WIDTH)); end if; else trying_to_read_next <= '0'; end if; -- definitely won't write trying_to_write_next <= '0'; end if; end if; end process; -- pipeline stage 3 -- determining what the avalon side of the interface is actually doing - -- a combination of intent and avalon's permission writing <= trying_to_write and wdata_rdena; reading <= trying_to_read and wdata_rdena; -- interrupts sync_clocks: IF (CLOCKS_ARE_SYNC /= 0) GENERATE has_irq: IF (INTERRUPT_USED /= 0) GENERATE activeirq_reg: PROCESS (clock, reset) BEGIN IF reset = '1' THEN activeirqs <= (OTHERS=>'1'); ELSIF Rising_edge(clock) THEN activeirqs <= av_interrupt; END IF; END PROCESS; END GENERATE; END GENERATE; async_clocks: IF (CLOCKS_ARE_SYNC = 0) GENERATE has_irq: IF (INTERRUPT_USED /= 0) GENERATE activeirq_reg: sync_vec GENERIC MAP (WIDTH=>INTERRUPT_WIDTH) PORT MAP (clk=>clock, reset=>reset, data_in=>av_interrupt, data_out=>activeirqs); END GENERATE; END GENERATE; end architecture rtl;
mit
matbur95/ucisw-pro
pro5a/congrats_text.vhd
2
39041
library ieee; use ieee.std_logic_1164.all; use ieee.std_logic_unsigned.all; entity CONGRATS is port (CLK : in std_logic; -- EN : in std_logic; ADDR : in std_logic_vector(13 downto 0); DATA : out std_logic); end CONGRATS; architecture syn of CONGRATS is type rom_type is array (0 to 9599) of std_logic; constant ROM : rom_type:= ( '0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','0','0','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','0','0','0','0','0','0','1','1','1','1','0','0','0','0','1','0','0','0','0','0','0','1','0','0','0','0','1','1','1','1','0','0','0','0','1','1','1','1','1','1','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','0','0','0','0','1','1','1','1','1','1','0','0','0','1','1','0','0','0','0','0','1','0','0','0','1','1','1','1','1','1','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','1','1','0','0','1','1','0','0','0','0','1','1','0','0','1','1','1','0','0','0','0','1','0','0','1','1','0','0','0','0','1','1','0','0','1','1','0','0','0','0','1','1','0','0','0','0','1','1','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','1','0','0','1','1','1','0','0','0','0','1','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','1','0','0','0','1','1','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','1','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','1','1','0','0','1','0','0','1','1','0','0','0','1','1','1','0','0','1','1','1','1','1','1','1','0','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','1','1','0','1','1','0','0','1','1','0','0','0','1','1','1','0','0','1','1','1','1','1','1','1','0','0','0','1','1','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','1','1','1','0','0','1','1','0','0','0','0','1','1','0','0','1','1','0','1','1','0','0','0','0','0','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','1','1','1','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','1','1','0','0','0','0','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','1','1','1','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','1','1','0','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','0','0','0','0','1','1','1','1','1','1','0','0','0','1','1','0','0','0','0','1','1','0','0','0','1','1','1','1','1','1','1','0','0','1','1','0','0','0','0','1','1','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','0','0','0','0','0','1','1','1','1','1','0','0','0','1','1','0','0','0','0','0','1','0','0','0','0','1','1','1','1','1','1','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','0','0','1','0','0','0','0','0','0','1','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','1','1','1','1','1','1','1','1','0','0','1','1','1','1','1','1','1','1','0','0','0','0','1','1','1','1','0','0','0','0','1','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','1','1','1','1','1','1','0','0','1','1','1','1','1','1','1','1','0','0','0','1','1','1','1','1','1','0','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','0','0','1','1','0','1','1','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','1','1','0','0','1','1','1','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','0','1','1','0','0','1','1','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','1','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','1','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','1','1','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','1','1','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','1','1','0','0','0','0','0','1','0','0','1','1','0','0','0','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','1','1','1','1','1','1','0','0','0','1','1','1','1','1','1','1','1','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','1','1','0','0','0','0','0','1','1','1','1','1','1','1','1','0','0','0','1','1','1','1','1','1','0','0','0','1','1','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','1','1','1','1','1','0','0','0','1','1','1','1','1','1','1','1','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','1','1','0','0','0','0','0','1','1','1','1','1','1','1','1','0','0','0','0','1','1','1','1','1','0','0','0','1','1','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','0','0','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','1','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','1','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','1','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0','0' ); signal rdata : std_logic; begin rdata <= ROM(conv_integer(ADDR)); process (CLK) begin if (rising_edge(CLK)) then -- if (EN = '1') then DATA <= rdata; -- end if; end if; end process; end syn;
mit
JaDogg/__py_playground
reference/grammars-v4/vhdl/examples/std_logic_textio.vhd
5
17743
---------------------------------------------------------------------------- -- -- Copyright (c) 1990, 1991, 1992 by Synopsys, Inc. All rights reserved. -- -- This source file may be used and distributed without restriction -- provided that this copyright statement is not removed from the file -- and that any derivative work contains this copyright notice. -- -- Package name: STD_LOGIC_TEXTIO -- -- Purpose: This package overloads the standard TEXTIO procedures -- READ and WRITE. -- -- Author: CRC, TS -- ---------------------------------------------------------------------------- use STD.textio.all; library IEEE; use IEEE.std_logic_1164.all; package STD_LOGIC_TEXTIO is -- Read and Write procedures for STD_ULOGIC and STD_ULOGIC_VECTOR procedure READ(L:inout LINE; VALUE:out STD_ULOGIC); procedure READ(L:inout LINE; VALUE:out STD_ULOGIC; GOOD: out BOOLEAN); procedure READ(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR); procedure READ(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR; GOOD: out BOOLEAN); procedure WRITE(L:inout LINE; VALUE:in STD_ULOGIC; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0); procedure WRITE(L:inout LINE; VALUE:in STD_ULOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0); -- Read and Write procedures for STD_LOGIC_VECTOR procedure READ(L:inout LINE; VALUE:out STD_LOGIC_VECTOR); procedure READ(L:inout LINE; VALUE:out STD_LOGIC_VECTOR; GOOD: out BOOLEAN); procedure WRITE(L:inout LINE; VALUE:in STD_LOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0); -- -- Read and Write procedures for Hex and Octal values. -- The values appear in the file as a series of characters -- between 0-F (Hex), or 0-7 (Octal) respectively. -- -- Hex procedure HREAD(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR); procedure HREAD(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR; GOOD: out BOOLEAN); procedure HWRITE(L:inout LINE; VALUE:in STD_ULOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0); procedure HREAD(L:inout LINE; VALUE:out STD_LOGIC_VECTOR); procedure HREAD(L:inout LINE; VALUE:out STD_LOGIC_VECTOR; GOOD: out BOOLEAN); procedure HWRITE(L:inout LINE; VALUE:in STD_LOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0); -- Octal procedure OREAD(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR); procedure OREAD(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR; GOOD: out BOOLEAN); procedure OWRITE(L:inout LINE; VALUE:in STD_ULOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0); procedure OREAD(L:inout LINE; VALUE:out STD_LOGIC_VECTOR); procedure OREAD(L:inout LINE; VALUE:out STD_LOGIC_VECTOR; GOOD: out BOOLEAN); procedure OWRITE(L:inout LINE; VALUE:in STD_LOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0); end STD_LOGIC_TEXTIO; package body STD_LOGIC_TEXTIO is -- Type and constant definitions used to map STD_ULOGIC values -- into/from character values. type MVL9plus is ('U', 'X', '0', '1', 'Z', 'W', 'L', 'H', '-', ERROR); type char_indexed_by_MVL9 is array (STD_ULOGIC) of character; type MVL9_indexed_by_char is array (character) of STD_ULOGIC; type MVL9plus_indexed_by_char is array (character) of MVL9plus; constant MVL9_to_char: char_indexed_by_MVL9 := "UX01ZWLH-"; constant char_to_MVL9: MVL9_indexed_by_char := ('U' => 'U', 'X' => 'X', '0' => '0', '1' => '1', 'Z' => 'Z', 'W' => 'W', 'L' => 'L', 'H' => 'H', '-' => '-', others => 'U'); constant char_to_MVL9plus: MVL9plus_indexed_by_char := ('U' => 'U', 'X' => 'X', '0' => '0', '1' => '1', 'Z' => 'Z', 'W' => 'W', 'L' => 'L', 'H' => 'H', '-' => '-', others => ERROR); -- Overloaded procedures. procedure READ(L:inout LINE; VALUE:out STD_ULOGIC; GOOD:out BOOLEAN) is variable c: character; begin loop -- skip white space read(l,c); exit when ((c /= ' ') and (c /= CR) and (c /= HT)); end loop; if (char_to_MVL9plus(c) = ERROR) then value := 'U'; good := FALSE; else value := char_to_MVL9(c); good := TRUE; end if; end READ; procedure READ(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR; GOOD:out BOOLEAN) is variable m: STD_ULOGIC; variable c: character; variable s: string(1 to value'length-1); variable mv: STD_ULOGIC_VECTOR(0 to value'length-1); begin loop -- skip white space read(l,c); exit when ((c /= ' ') and (c /= CR) and (c /= HT)); end loop; if (char_to_MVL9plus(c) = ERROR) then value(value'range) := (others => 'U'); good := FALSE; return; end if; read(l, s); for i in 1 to value'length-1 loop if (char_to_MVL9plus(s(i)) = ERROR) then value(value'range) := (others => 'U'); good := FALSE; return; end if; end loop; mv(0) := char_to_MVL9(c); for i in 1 to value'length-1 loop mv(i) := char_to_MVL9(s(i)); end loop; value := mv; good := TRUE; end READ; procedure READ(L:inout LINE; VALUE:out STD_ULOGIC) is variable c: character; begin loop -- skip white space read(l,c); exit when ((c /= ' ') and (c /= CR) and (c /= HT)); end loop; if (char_to_MVL9plus(c) = ERROR) then value := 'U'; assert FALSE report "READ(STD_ULOGIC) Error: Character '" & c & "' read, expected STD_ULOGIC literal."; else value := char_to_MVL9(c); end if; end READ; procedure READ(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR) is variable m: STD_ULOGIC; variable c: character; variable s: string(1 to value'length-1); variable mv: STD_ULOGIC_VECTOR(0 to value'length-1); begin loop -- skip white space read(l,c); exit when ((c /= ' ') and (c /= CR) and (c /= HT)); end loop; if (char_to_MVL9plus(c) = ERROR) then value(value'range) := (others => 'U'); assert FALSE report "READ(STD_ULOGIC_VECTOR) Error: Character '" & c & "' read, expected STD_ULOGIC literal."; return; end if; read(l, s); for i in 1 to value'length-1 loop if (char_to_MVL9plus(s(i)) = ERROR) then value(value'range) := (others => 'U'); assert FALSE report "READ(STD_ULOGIC_VECTOR) Error: Character '" & s(i) & "' read, expected STD_ULOGIC literal."; return; end if; end loop; mv(0) := char_to_MVL9(c); for i in 1 to value'length-1 loop mv(i) := char_to_MVL9(s(i)); end loop; value := mv; end READ; procedure WRITE(L:inout LINE; VALUE:in STD_ULOGIC; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0) is begin write(l, MVL9_to_char(value), justified, field); end WRITE; procedure WRITE(L:inout LINE; VALUE:in STD_ULOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0) is variable s: string(1 to value'length); variable m: STD_ULOGIC_VECTOR(1 to value'length) := value; begin for i in 1 to value'length loop s(i) := MVL9_to_char(m(i)); end loop; write(l, s, justified, field); end WRITE; -- Read and Write procedures for STD_LOGIC_VECTOR procedure READ(L:inout LINE; VALUE:out STD_LOGIC_VECTOR) is variable tmp: STD_ULOGIC_VECTOR(VALUE'length-1 downto 0); begin READ(L, tmp); VALUE := STD_LOGIC_VECTOR(tmp); end READ; procedure READ(L:inout LINE; VALUE:out STD_LOGIC_VECTOR; GOOD: out BOOLEAN) is variable tmp: STD_ULOGIC_VECTOR(VALUE'length-1 downto 0); begin READ(L, tmp, GOOD); VALUE := STD_LOGIC_VECTOR(tmp); end READ; procedure WRITE(L:inout LINE; VALUE:in STD_LOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0) is begin WRITE(L, STD_ULOGIC_VECTOR(VALUE), JUSTIFIED, FIELD); end WRITE; -- -- Hex Read and Write procedures. -- -- -- Hex, and Octal Read and Write procedures for BIT_VECTOR -- (these procedures are not exported, they are only used -- by the STD_ULOGIC hex/octal reads and writes below. -- -- procedure Char2QuadBits(C: Character; RESULT: out Bit_Vector(3 downto 0); GOOD: out Boolean; ISSUE_ERROR: in Boolean) is begin case c is when '0' => result := x"0"; good := TRUE; when '1' => result := x"1"; good := TRUE; when '2' => result := x"2"; good := TRUE; when '3' => result := x"3"; good := TRUE; when '4' => result := x"4"; good := TRUE; when '5' => result := x"5"; good := TRUE; when '6' => result := x"6"; good := TRUE; when '7' => result := x"7"; good := TRUE; when '8' => result := x"8"; good := TRUE; when '9' => result := x"9"; good := TRUE; when 'A' => result := x"A"; good := TRUE; when 'B' => result := x"B"; good := TRUE; when 'C' => result := x"C"; good := TRUE; when 'D' => result := x"D"; good := TRUE; when 'E' => result := x"E"; good := TRUE; when 'F' => result := x"F"; good := TRUE; when 'a' => result := x"A"; good := TRUE; when 'b' => result := x"B"; good := TRUE; when 'c' => result := x"C"; good := TRUE; when 'd' => result := x"D"; good := TRUE; when 'e' => result := x"E"; good := TRUE; when 'f' => result := x"F"; good := TRUE; when others => if ISSUE_ERROR then assert FALSE report "HREAD Error: Read a '" & c & "', expected a Hex character (0-F)."; end if; good := FALSE; end case; end; procedure HREAD(L:inout LINE; VALUE:out BIT_VECTOR) is variable ok: boolean; variable c: character; constant ne: integer := value'length/4; variable bv: bit_vector(0 to value'length-1); variable s: string(1 to ne-1); begin if value'length mod 4 /= 0 then assert FALSE report "HREAD Error: Trying to read vector " & "with an odd (non multiple of 4) length"; return; end if; loop -- skip white space read(l,c); exit when ((c /= ' ') and (c /= CR) and (c /= HT)); end loop; Char2QuadBits(c, bv(0 to 3), ok, TRUE); if not ok then return; end if; read(L, s, ok); if not ok then assert FALSE report "HREAD Error: Failed to read the STRING"; return; end if; for i in 1 to ne-1 loop Char2QuadBits(s(i), bv(4*i to 4*i+3), ok, TRUE); if not ok then return; end if; end loop; value := bv; end HREAD; procedure HREAD(L:inout LINE; VALUE:out BIT_VECTOR;GOOD: out BOOLEAN) is variable ok: boolean; variable c: character; constant ne: integer := value'length/4; variable bv: bit_vector(0 to value'length-1); variable s: string(1 to ne-1); begin if value'length mod 4 /= 0 then good := FALSE; return; end if; loop -- skip white space read(l,c); exit when ((c /= ' ') and (c /= CR) and (c /= HT)); end loop; Char2QuadBits(c, bv(0 to 3), ok, FALSE); if not ok then good := FALSE; return; end if; read(L, s, ok); if not ok then good := FALSE; return; end if; for i in 1 to ne-1 loop Char2QuadBits(s(i), bv(4*i to 4*i+3), ok, FALSE); if not ok then good := FALSE; return; end if; end loop; good := TRUE; value := bv; end HREAD; procedure HWRITE(L:inout LINE; VALUE:in BIT_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0) is variable quad: bit_vector(0 to 3); constant ne: integer := value'length/4; variable bv: bit_vector(0 to value'length-1) := value; variable s: string(1 to ne); begin if value'length mod 4 /= 0 then assert FALSE report "HREAD Error: Trying to read vector " & "with an odd (non multiple of 4) length"; return; end if; for i in 0 to ne-1 loop quad := bv(4*i to 4*i+3); case quad is when x"0" => s(i+1) := '0'; when x"1" => s(i+1) := '1'; when x"2" => s(i+1) := '2'; when x"3" => s(i+1) := '3'; when x"4" => s(i+1) := '4'; when x"5" => s(i+1) := '5'; when x"6" => s(i+1) := '6'; when x"7" => s(i+1) := '7'; when x"8" => s(i+1) := '8'; when x"9" => s(i+1) := '9'; when x"A" => s(i+1) := 'A'; when x"B" => s(i+1) := 'B'; when x"C" => s(i+1) := 'C'; when x"D" => s(i+1) := 'D'; when x"E" => s(i+1) := 'E'; when x"F" => s(i+1) := 'F'; end case; end loop; write(L, s, JUSTIFIED, FIELD); end HWRITE; procedure Char2TriBits(C: Character; RESULT: out bit_vector(2 downto 0); GOOD: out Boolean; ISSUE_ERROR: in Boolean) is begin case c is when '0' => result := o"0"; good := TRUE; when '1' => result := o"1"; good := TRUE; when '2' => result := o"2"; good := TRUE; when '3' => result := o"3"; good := TRUE; when '4' => result := o"4"; good := TRUE; when '5' => result := o"5"; good := TRUE; when '6' => result := o"6"; good := TRUE; when '7' => result := o"7"; good := TRUE; when others => if ISSUE_ERROR then assert FALSE report "OREAD Error: Read a '" & c & "', expected an Octal character (0-7)."; end if; good := FALSE; end case; end; procedure OREAD(L:inout LINE; VALUE:out BIT_VECTOR) is variable c: character; variable ok: boolean; constant ne: integer := value'length/3; variable bv: bit_vector(0 to value'length-1); variable s: string(1 to ne-1); begin if value'length mod 3 /= 0 then assert FALSE report "OREAD Error: Trying to read vector " & "with an odd (non multiple of 3) length"; return; end if; loop -- skip white space read(l,c); exit when ((c /= ' ') and (c /= CR) and (c /= HT)); end loop; Char2TriBits(c, bv(0 to 2), ok, TRUE); if not ok then return; end if; read(L, s, ok); if not ok then assert FALSE report "OREAD Error: Failed to read the STRING"; return; end if; for i in 1 to ne-1 loop Char2TriBits(s(i), bv(3*i to 3*i+2), ok, TRUE); if not ok then return; end if; end loop; value := bv; end OREAD; procedure OREAD(L:inout LINE; VALUE:out BIT_VECTOR;GOOD: out BOOLEAN) is variable ok: boolean; variable c: character; constant ne: integer := value'length/3; variable bv: bit_vector(0 to value'length-1); variable s: string(1 to ne-1); begin if value'length mod 3 /= 0 then good := FALSE; return; end if; loop -- skip white space read(l,c); exit when ((c /= ' ') and (c /= CR) and (c /= HT)); end loop; Char2TriBits(c, bv(0 to 2), ok, FALSE); if not ok then good := FALSE; return; end if; read(L, s, ok); if not ok then good := FALSE; return; end if; for i in 1 to ne-1 loop Char2TriBits(s(i), bv(3*i to 3*i+2), ok, FALSE); if not ok then good := FALSE; return; end if; end loop; good := TRUE; value := bv; end OREAD; procedure OWRITE(L:inout LINE; VALUE:in BIT_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0) is variable tri: bit_vector(0 to 2); constant ne: integer := value'length/3; variable bv: bit_vector(0 to value'length-1) := value; variable s: string(1 to ne); begin if value'length mod 3 /= 0 then assert FALSE report "OREAD Error: Trying to read vector " & "with an odd (non multiple of 3) length"; return; end if; for i in 0 to ne-1 loop tri := bv(3*i to 3*i+2); case tri is when o"0" => s(i+1) := '0'; when o"1" => s(i+1) := '1'; when o"2" => s(i+1) := '2'; when o"3" => s(i+1) := '3'; when o"4" => s(i+1) := '4'; when o"5" => s(i+1) := '5'; when o"6" => s(i+1) := '6'; when o"7" => s(i+1) := '7'; end case; end loop; write(L, s, JUSTIFIED, FIELD); end OWRITE; -- Hex Read and Write procedures for STD_LOGIC_VECTOR procedure HREAD(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR;GOOD:out BOOLEAN) is variable tmp: bit_vector(VALUE'length-1 downto 0); begin HREAD(L, tmp, GOOD); VALUE := To_X01(tmp); end HREAD; procedure HREAD(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR) is variable tmp: bit_vector(VALUE'length-1 downto 0); begin HREAD(L, tmp); VALUE := To_X01(tmp); end HREAD; procedure HWRITE(L:inout LINE; VALUE:in STD_ULOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0) is begin HWRITE(L, To_bitvector(VALUE),JUSTIFIED, FIELD); end HWRITE; -- Hex Read and Write procedures for STD_LOGIC_VECTOR procedure HREAD(L:inout LINE; VALUE:out STD_LOGIC_VECTOR) is variable tmp: STD_ULOGIC_VECTOR(VALUE'length-1 downto 0); begin HREAD(L, tmp); VALUE := STD_LOGIC_VECTOR(tmp); end HREAD; procedure HREAD(L:inout LINE; VALUE:out STD_LOGIC_VECTOR; GOOD: out BOOLEAN) is variable tmp: STD_ULOGIC_VECTOR(VALUE'length-1 downto 0); begin HREAD(L, tmp, GOOD); VALUE := STD_LOGIC_VECTOR(tmp); end HREAD; procedure HWRITE(L:inout LINE; VALUE:in STD_LOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0) is begin HWRITE(L, To_bitvector(VALUE), JUSTIFIED, FIELD); end HWRITE; -- Octal Read and Write procedures for STD_ULOGIC_VECTOR procedure OREAD(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR;GOOD:out BOOLEAN) is variable tmp: bit_vector(VALUE'length-1 downto 0); begin OREAD(L, tmp, GOOD); VALUE := To_X01(tmp); end OREAD; procedure OREAD(L:inout LINE; VALUE:out STD_ULOGIC_VECTOR) is variable tmp: bit_vector(VALUE'length-1 downto 0); begin OREAD(L, tmp); VALUE := To_X01(tmp); end OREAD; procedure OWRITE(L:inout LINE; VALUE:in STD_ULOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0) is begin OWRITE(L, To_bitvector(VALUE),JUSTIFIED, FIELD); end OWRITE; -- Octal Read and Write procedures for STD_LOGIC_VECTOR procedure OREAD(L:inout LINE; VALUE:out STD_LOGIC_VECTOR) is variable tmp: STD_ULOGIC_VECTOR(VALUE'length-1 downto 0); begin OREAD(L, tmp); VALUE := STD_LOGIC_VECTOR(tmp); end OREAD; procedure OREAD(L:inout LINE; VALUE:out STD_LOGIC_VECTOR; GOOD: out BOOLEAN) is variable tmp: STD_ULOGIC_VECTOR(VALUE'length-1 downto 0); begin OREAD(L, tmp, GOOD); VALUE := STD_LOGIC_VECTOR(tmp); end OREAD; procedure OWRITE(L:inout LINE; VALUE:in STD_LOGIC_VECTOR; JUSTIFIED:in SIDE := RIGHT; FIELD:in WIDTH := 0) is begin OWRITE(L, STD_ULOGIC_VECTOR(VALUE), JUSTIFIED, FIELD); end OWRITE; end STD_LOGIC_TEXTIO;
mit
benreynwar/rfgnocchi
maths/comb_minimum_generic.vhd
1
2466
-- -*- vhdl -*- library ieee; use ieee.std_logic_1164.all; use ieee.numeric_std.all; use ieee.math_real.all; use work.pyvivado_utils.all; entity CombMinimumGeneric is generic ( WIDTH: positive; N_INPUTS: positive; INPUT_ADDRESS_WIDTH: natural ); port ( i_data: in std_logic_vector(N_INPUTS*WIDTH-1 downto 0); i_addresses: in std_logic_vector(N_INPUTS*INPUT_ADDRESS_WIDTH-1 downto 0); o_data: out std_logic_vector(WIDTH-1 downto 0); o_address: out std_logic_vector(INPUT_ADDRESS_WIDTH+logceil(N_INPUTS)-1 downto 0) ); end CombMinimumGeneric; architecture arch of CombMinimumGeneric is constant LARGEST_CONTAINED_POWER_OF_TWO: positive := 2 ** (logceil(N_INPUTS+1)-1); constant REMAINDER: natural := N_INPUTS - LARGEST_CONTAINED_POWER_OF_TWO; constant TEST: integer := logceil(N_INPUTS); constant TEST0: integer := logceil(0); constant TEST1: integer := logceil(1); constant TEST2: integer := logceil(2); constant TEST3: integer := logceil(3); constant TEST4: integer := logceil(4); constant TEST5: integer := logceil(5); constant TEST6: integer := logceil(6); begin single_input: if N_INPUTS = 1 generate assert(logceil(N_INPUTS) = 0); assert(o_address'HIGH = 1); o_data <= i_data; with_input_address: if INPUT_ADDRESS_WIDTH > 0 generate o_address(INPUT_ADDRESS_WIDTH-1 downto 0) <= i_addresses; o_address(INPUT_ADDRESS_WIDTH downto INPUT_ADDRESS_WIDTH-1) <= (others => '0'); end generate; no_input_address: if INPUT_ADDRESS_WIDTH = 0 generate o_address(0) <= '0'; end generate; end generate; no_remainder: if REMAINDER = 0 and N_INPUTS > 1 generate no_remainder_inst: entity work.CombMinimumZeroRemainder generic map ( WIDTH => WIDTH, N_INPUTS => N_INPUTS, INPUT_ADDRESS_WIDTH => INPUT_ADDRESS_WIDTH ) port map ( i_data => i_data, i_addresses => i_addresses, o_data => o_data, o_address => o_address ); end generate; with_remainder: if REMAINDER > 0 and N_INPUTS > 1 generate with_remainder_inst: entity work.CombMinimumNonZeroRemainder generic map ( WIDTH => WIDTH, N_INPUTS => N_INPUTS, INPUT_ADDRESS_WIDTH => INPUT_ADDRESS_WIDTH ) port map ( i_data => i_data, i_addresses => i_addresses, o_data => o_data, o_address => o_address ); end generate; end arch;
mit
Mx7f/linguist
samples/VHDL/foo.vhd
91
217
-- VHDL example file library ieee; use ieee.std_logic_1164.all; entity inverter is port(a : in std_logic; b : out std_logic); end entity; architecture rtl of inverter is begin b <= not a; end architecture;
mit
benreynwar/rfgnocchi
blocks/controller_inner.vhd
1
4957
library ieee; use ieee.std_logic_1164.all; use ieee.numeric_std.all; -- controller_inner takes an input 'i_error' signal and outputs an -- output 'o_phase' signal. -- -- new_freq = freq + beta * error -- new_phase = phase + freq * alpha * error -- -- The value for alpha and beta are set using the i_config channel. entity controller_inner is port ( clk: in std_logic; reset: in std_logic; clear: in std_logic; -- We assume that error is scaled so it makes good -- use of the 16 bits. i_error_tdata: in std_logic_vector(15 downto 0); i_error_tvalid: in std_logic; i_config_tdata: in std_logic_vector(31 downto 0); i_config_tvalid: in std_logic; i_config_tready: out std_logic; o_phase_tdata: out std_logic_vector(15 downto 0); o_phase_tvalid: out std_logic; o_phase_tready: in std_logic ); end controller_inner; architecture arch of controller_inner is constant PHASE_WIDTH: positive := 16; constant FREQUENCY_WIDTH: positive := 16; constant ERROR_WIDTH: positive := 16; constant ALPHA_WIDTH: positive := 16; constant BETA_WIDTH: positive := 16; signal alpha: std_logic_vector(ALPHA_WIDTH-1 downto 0); signal beta: std_logic_vector(BETA_WIDTH-1 downto 0); signal frequency: unsigned(FREQUENCY_WIDTH-1 downto 0); signal phase: unsigned(PHASE_WIDTH-1 downto 0); signal alpha_tready: std_logic; signal beta_tready: std_logic; signal A_error_tready: std_logic; signal B_error_tready: std_logic; -- The alpha*error stream signal ae_tdata: std_logic_vector(PHASE_WIDTH-1 downto 0); signal ae_tvalid: std_logic; signal ae_tlast: std_logic; -- The beta*error stream signal be_tdata: std_logic_vector(FREQUENCY_WIDTH-1 downto 0); signal be_tvalid: std_logic; signal be_tlast: std_logic; -- Updating frequency intermediates. signal adj_frequency: unsigned(FREQUENCY_WIDTH downto 0); signal new_frequency: unsigned(FREQUENCY_WIDTH-1 downto 0); signal big_new_frequency: unsigned(FREQUENCY_WIDTH downto 0); -- Updating phase intermediates. signal adj_phase: unsigned(PHASE_WIDTH+1 downto 0); signal step_phase: unsigned(PHASE_WIDTH+1 downto 0); signal new_phase: unsigned(PHASE_WIDTH-1 downto 0); signal big_new_phase: unsigned(PHASE_WIDTH+1 downto 0); begin adj_frequency <= resize(unsigned(be_tdata), FREQUENCY_WIDTH+1) when (be_tvalid = '1') else (others => '0'); adj_phase <= resize(unsigned(ae_tdata), PHASE_WIDTH+2) when (ae_tvalid = '1') else (others => '0'); step_phase <= resize(frequency, PHASE_WIDTH+2) when (o_phase_tready='1') else (others => '0'); big_new_frequency <= frequency + adj_frequency; new_frequency <= big_new_frequency(FREQUENCY_WIDTH-1 downto 0); big_new_phase <= phase + step_phase + adj_phase; new_phase <= big_new_phase(PHASE_WIDTH-1 downto 0); o_phase_tdata <= std_logic_vector(phase); o_phase_tvalid <= '1'; i_config_tready <= '1'; process(clk) begin if rising_edge(clk) then if (reset = '1') then alpha <= (others => '0'); beta <= (others => '0'); frequency <= (others => '0'); phase <= (others => '0'); else if (clear = '1') then frequency <= (others => '0'); phase <= (others => '0'); else frequency <= new_frequency; phase <= new_phase; end if; if (i_config_tvalid = '1') then alpha <= i_config_tdata(ALPHA_WIDTH+BETA_WIDTH-1 downto BETA_WIDTH); beta <= i_config_tdata(BETA_WIDTH-1 downto 0); end if; end if; end if; end process; alpha_mult: entity work.mult generic map ( WIDTH_A => ALPHA_WIDTH, WIDTH_B => ERROR_WIDTH, WIDTH_P => PHASE_WIDTH, DROP_TOP_P => 6 ) port map ( clk => clk, reset => reset, a_tdata => alpha, a_tvalid => '1', a_tlast => '0', a_tready => alpha_tready, b_tdata => i_error_tdata, b_tvalid => i_error_tvalid, b_tlast => '0', b_tready => A_error_tready, p_tdata => ae_tdata, p_tvalid => ae_tvalid, p_tlast => ae_tlast, p_tready => '1' ); beta_mult: entity work.mult generic map ( WIDTH_A => BETA_WIDTH, WIDTH_B => ERROR_WIDTH, WIDTH_P => FREQUENCY_WIDTH, DROP_TOP_P => 6 ) port map ( clk => clk, reset => reset, a_tdata => beta, a_tvalid => '1', a_tlast => '0', a_tready => beta_tready, b_tdata => i_error_tdata, b_tvalid => i_error_tvalid, b_tlast => '0', b_tready => B_error_tready, p_tdata => be_tdata, p_tvalid => be_tvalid, p_tlast => be_tlast, p_tready => '1' ); end arch;
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_quad_spi_0_0/proc_common_v4_0/hdl/src/vhdl/family_support.vhd
12
329235
-------------------------------------------------------------------------------- -- $Id: family_support.vhd,v 1.5.2.55 2010/12/16 15:10:57 ostlerf Exp $ -------------------------------------------------------------------------------- -- family_support.vhd - package -------------------------------------------------------------------------------- -- -- ************************************************************************* -- ** ** -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This text/file contains proprietary, confidential ** -- ** information of Xilinx, Inc., is distributed under ** -- ** license from Xilinx, Inc., and may be used, copied ** -- ** and/or disclosed only pursuant to the terms of a valid ** -- ** license agreement with Xilinx, Inc. Xilinx hereby ** -- ** grants you a license to use this text/file solely for ** -- ** design, simulation, implementation and creation of ** -- ** design files limited to Xilinx devices or technologies. ** -- ** Use with non-Xilinx devices or technologies is expressly ** -- ** prohibited and immediately terminates your license unless ** -- ** covered by a separate agreement. ** -- ** ** -- ** Xilinx is providing this design, code, or information ** -- ** "as-is" solely for use in developing programs and ** -- ** solutions for Xilinx devices, with no obligation on the ** -- ** part of Xilinx to provide support. By providing this design, ** -- ** code, or information as one possible implementation of ** -- ** this feature, application or standard, Xilinx is making no ** -- ** representation that this implementation is free from any ** -- ** claims of infringement. You are responsible for obtaining ** -- ** any rights you may require for your implementation. ** -- ** Xilinx expressly disclaims any warranty whatsoever with ** -- ** respect to the adequacy of the implementation, including ** -- ** but not limited to any warranties or representations that this ** -- ** implementation is free from claims of infringement, implied ** -- ** warranties of merchantability or fitness for a particular ** -- ** purpose. ** -- ** ** -- ** Xilinx products are not intended for use in life support ** -- ** appliances, devices, or systems. Use in such applications is ** -- ** expressly prohibited. ** -- ** ** -- ** Any modifications that are made to the Source Code are ** -- ** done at the user’s sole risk and will be unsupported. ** -- ** The Xilinx Support Hotline does not have access to source ** -- ** code and therefore cannot answer specific questions related ** -- ** to source HDL. The Xilinx Hotline support of original source ** -- ** code IP shall only address issues and questions related ** -- ** to the standard Netlist version of the core (and thus ** -- ** indirectly, the original core source). ** -- ** ** -- ** Copyright (c) 2005-2010 Xilinx, Inc. All rights reserved. ** -- ** ** -- ** This copyright and support notice must be retained as part ** -- ** of this text at all times. ** -- ** ** -- ************************************************************************* -- -------------------------------------------------------------------------------- -- Filename: family_support.vhd -- -- Description: -- -- FAMILIES, PRIMITIVES and PRIMITIVE AVAILABILITY GUARDS -- -- This package allows to determine whether a given primitive -- or set of primitives is available in an FPGA family of interest. -- -- The key element is the function, 'supported', which is -- available in four variants (overloads). Here are examples -- of each: -- -- supported(virtex2, u_RAMB16_S2) -- -- supported("Virtex2", u_RAMB16_S2) -- -- supported(spartan3, (u_MUXCY, u_XORCY, u_FD)) -- -- supported("spartan3", (u_MUXCY, u_XORCY, u_FD)) -- -- The 'supported' function returns true if and only -- if all of the primitives being tested, as given in the -- second argument, are available in the FPGA family that -- is given in the first argument. -- -- The first argument can be either one of the FPGA family -- names from the enumeration type, 'families_type', or a -- (case insensitive) string giving the same information. -- The family name 'nofamily' is special and supports -- none of the primitives. -- -- The second argument is either a primitive or a list of -- primitives. The set of primitive names that can be -- tested is defined by the declaration of the -- enumeration type, 'primitives_type'. The names are -- the UNISIM-library names for the primitives, prefixed -- by "u_". (The prefix avoids introducing a name that -- conflicts with the component declaration for the primitive.) -- -- The array type, 'primitive_array_type' is the basis for -- forming lists of primitives. Typically, a fixed list -- of primitves is expressed as a VHDL aggregate, a -- comma separated list of primitives enclosed in -- parentheses. (See the last two examples, above.) -- -- The 'supported' function can be used as a guard -- condition for a piece of code that depends on primitives -- (primitive availability guard). Here is an example: -- -- -- GEN : if supported(C_FAMILY, (u_MUXCY, u_XORCY)) generate -- begin -- ... Here, an implementation that depends on -- ... MUXCY and XORCY. -- end generate; -- -- -- It can also be used in an assertion statement -- to give warnings about problems that can arise from -- attempting to implement into a family that does not -- support all of the required primitives: -- -- -- assert supported(C_FAMILY, <primtive list>) -- report "This module cannot be implemnted " & -- "into family, " & C_FAMILY & -- ", because one or more of the primitives, " & -- "<primitive_list>" & ", is not supported." -- severity error; -- -- -- A NOTE ON USAGE -- -- It is probably best to take an exception to the coding -- guidelines and make the names that are needed -- from this package visible to a VHDL compilation unit by -- -- library <libname>; -- use <libname>.family_support.all; -- -- rather than by calling out individual names in use clauses. -- (VHDL tools do not have a common interpretation at present -- on whether -- -- use <libname>.family_support.primitives_type" -- -- makes the enumeration literals visible.) -- -- ADDITIONAL FEATURES -- -- - A function, native_lut_size, is available to allow -- the caller to query the largest sized LUT available in a given -- FPGA family. -- -- - A function, equalIgnoringCase, is available to compare strings -- with case insensitivity. While this can be used to establish -- whether the target family is some particular family, such -- usage is discouraged and should be limited to legacy -- situations or the rare situations where primitive -- availability guards will not suffice. -- -------------------------------------------------------------------------------- -- Author: FLO -- History: -- FLO 2005Mar24 - First Version -- -- FLO 11/30/05 -- ^^^^^^ -- Virtex5 added. -- ~~~~~~ -- TK 03/17/06 Corrected a Spartan3e issue in myimage -- ~~~~~~ -- FLO 04/26/06 -- ^^^^^^ -- Added the native_lut_size function. -- ~~~~~~ -- FLO 08/10/06 -- ^^^^^^ -- Added support for families virtex, spartan2 and spartan2e. -- ~~~~~~ -- FLO 08/25/06 -- ^^^^^^ -- Enhanced the warning in function str2fam. Now when a string that is -- passed in the call as a parameter does not correspond to a supported fpga -- family, the string value of the passed string is mentioned in the warning -- and it is explicitly stated that the returned value is 'nofamily'. -- ~~~~~~ -- FLO 08/26/06 -- ^^^^^^ -- - Updated the virtex5 primitive set to a more recent list and -- removed primitives (TEMAC, PCIE, etc.) that are not present -- in all virtex5 family members. -- - Added function equalIgnoringCase and an admonition to use it -- as little as possible. -- - Made some improvements to descriptions inside comments. -- ~~~~~~ -- FLO 08/28/06 -- ^^^^^^ -- Added support for families spartan3a and spartan3an. These are initially -- taken to have the same primitives as spartan3e. -- ~~~~~~ -- FLO 10/28/06 -- ^^^^^^ -- Changed function str2fam so that it no longer depends on the VHDL -- attribute, 'VAL. This is an XST workaround. -- ~~~~~~ -- FLO 03/08/07 -- ^^^^^^ -- Updated spartan3a and sparan3an. -- Added spartan3adsp. -- ~~~~~~ -- FLO 08/31/07 -- ^^^^^^ -- A performance XST workaround was implemented to address slowness -- associated with primitive availability guards. The workaround changes -- the way that the fam_has_prim constant is initialized (aggregate -- rather than a system of function and procedure calls). -- ~~~~~~ -- FLO 04/11/08 -- ^^^^^^ -- Added these families: aspartan3e, aspartan3a, aspartan3an, aspartan3adsp -- ~~~~~~ -- FLO 04/14/08 -- ^^^^^^ -- Removed family: aspartan3an -- ~~~~~~ -- FLO 06/25/08 -- ^^^^^^ -- Added these families: qvirtex4, qrvirtex4 -- ~~~~~~ -- FLO 07/26/08 -- ^^^^^^ -- The BSCAN primitive for spartan3e is now BSCAN_SPARTAN3 instead -- of BSCAN_SPARTAN3E. -- ~~~~~~ -- FLO 09/02/06 -- ^^^^^^ -- Added an initial approximation of primitives for spartan6 and virtex6. -- ~~~~~~ -- FLO 09/04/28 -- ^^^^^^ -- -Removed primitive u_BSCAN_SPARTAN3A from spartan6. -- -Added the 5 and 6 LUTs to spartan6. -- ~~~~~~ -- FLO 02/09/10 (back to MM/DD/YY) -- ^^^^^^ -- -Removed primitive u_BSCAN_VIRTEX5 from virtex6. -- -Added families spartan6l, qspartan6, aspartan6 and virtex6l. -- ~~~~~~ -- FLO 04/26/10 (MM/DD/YY) -- ^^^^^^ -- -Added families qspartan6l, qvirtex5 and qvirtex6. -- ~~~~~~ -- FLO 06/21/10 (MM/DD/YY) -- ^^^^^^ -- -Added family qrvirtex5. -- ~~~~~~ -- -- DET 9/7/2010 For 12.4 -- ~~~~~~ -- -- Per CR573867 -- - Added the function get_root_family() as part of the derivative part -- support improvements. -- - Added the Virtex7 and Kintex7 device families -- ^^^^^^ -- ~~~~~~ -- FLO 10/28/10 (MM/DD/YY) -- ^^^^^^ -- -Added u_SRLC32E as supported for spartan6 (and its derivatives). (CR 575828) -- ~~~~~~ -- FLO 12/15/10 (MM/DD/YY) -- ^^^^^^ -- -Changed virtex6cx to be equal to virtex6 (instead of virtex5) -- -Move kintex7 and virtex7 to the primitives in the Rodin unisim.btl file -- -Added artix7 from the primitives in the Rodin unisim.btl file -- ~~~~~~ -- -- DET 3/2/2011 EDk 13.2 -- ~~~~~~ -- -- Per CR595477 -- - Added zynq support in the get_root_family function. -- ^^^^^^ -- -- DET 03/18/2011 -- ^^^^^^ -- Per CR602290 -- - Added u_RAMB16_S4_S36 for kintex7, virtex7, artix7 to grandfather axi_ethernetlite_v1_00_a. -- - This change was lost from 13.1 O.40d to 13.2 branch. -- - Copied the Virtex7 primitive info to zynq primitive entry (instead of the artix7 info) -- ~~~~~~ -- -- DET 4/4/2011 EDK 13.2 -- ~~~~~~ -- -- Per CR604652 -- - Added kintex7l and virtex7l -- ^^^^^^ -- -------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinational signals: "*_cmb" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port: "*_i" -- device pins: "*_pin" -- ports:- Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> -------------------------------------------------------------------------------- package family_support is type families_type is ( nofamily , kintex8 , kintex7 , kintex7l , qkintex7 , qkintex7l , virtex8 , virtex7 , virtex7l , qvirtex7 , qvirtex7l , artix8 , artix7 , aartix7 , artix7l , qartix7 , qartix7l , zynq , azynq , qzynq ); type primitives_type is range 0 to 865; constant u_AND2: primitives_type := 0; constant u_AND2B1L: primitives_type := u_AND2 + 1; constant u_AND3: primitives_type := u_AND2B1L + 1; constant u_AND4: primitives_type := u_AND3 + 1; constant u_AUTOBUF: primitives_type := u_AND4 + 1; constant u_BSCAN_SPARTAN2: primitives_type := u_AUTOBUF + 1; constant u_BSCAN_SPARTAN3: primitives_type := u_BSCAN_SPARTAN2 + 1; constant u_BSCAN_SPARTAN3A: primitives_type := u_BSCAN_SPARTAN3 + 1; constant u_BSCAN_SPARTAN3E: primitives_type := u_BSCAN_SPARTAN3A + 1; constant u_BSCAN_SPARTAN6: primitives_type := u_BSCAN_SPARTAN3E + 1; constant u_BSCAN_VIRTEX: primitives_type := u_BSCAN_SPARTAN6 + 1; constant u_BSCAN_VIRTEX2: primitives_type := u_BSCAN_VIRTEX + 1; constant u_BSCAN_VIRTEX4: primitives_type := u_BSCAN_VIRTEX2 + 1; constant u_BSCAN_VIRTEX5: primitives_type := u_BSCAN_VIRTEX4 + 1; constant u_BSCAN_VIRTEX6: primitives_type := u_BSCAN_VIRTEX5 + 1; constant u_BUF: primitives_type := u_BSCAN_VIRTEX6 + 1; constant u_BUFCF: primitives_type := u_BUF + 1; constant u_BUFE: primitives_type := u_BUFCF + 1; constant u_BUFG: primitives_type := u_BUFE + 1; constant u_BUFGCE: primitives_type := u_BUFG + 1; constant u_BUFGCE_1: primitives_type := u_BUFGCE + 1; constant u_BUFGCTRL: primitives_type := u_BUFGCE_1 + 1; constant u_BUFGDLL: primitives_type := u_BUFGCTRL + 1; constant u_BUFGMUX: primitives_type := u_BUFGDLL + 1; constant u_BUFGMUX_1: primitives_type := u_BUFGMUX + 1; constant u_BUFGMUX_CTRL: primitives_type := u_BUFGMUX_1 + 1; constant u_BUFGMUX_VIRTEX4: primitives_type := u_BUFGMUX_CTRL + 1; constant u_BUFGP: primitives_type := u_BUFGMUX_VIRTEX4 + 1; constant u_BUFH: primitives_type := u_BUFGP + 1; constant u_BUFHCE: primitives_type := u_BUFH + 1; constant u_BUFIO: primitives_type := u_BUFHCE + 1; constant u_BUFIO2: primitives_type := u_BUFIO + 1; constant u_BUFIO2_2CLK: primitives_type := u_BUFIO2 + 1; constant u_BUFIO2FB: primitives_type := u_BUFIO2_2CLK + 1; constant u_BUFIO2FB_2CLK: primitives_type := u_BUFIO2FB + 1; constant u_BUFIODQS: primitives_type := u_BUFIO2FB_2CLK + 1; constant u_BUFPLL: primitives_type := u_BUFIODQS + 1; constant u_BUFPLL_MCB: primitives_type := u_BUFPLL + 1; constant u_BUFR: primitives_type := u_BUFPLL_MCB + 1; constant u_BUFT: primitives_type := u_BUFR + 1; constant u_CAPTURE_SPARTAN2: primitives_type := u_BUFT + 1; constant u_CAPTURE_SPARTAN3: primitives_type := u_CAPTURE_SPARTAN2 + 1; constant u_CAPTURE_SPARTAN3A: primitives_type := u_CAPTURE_SPARTAN3 + 1; constant u_CAPTURE_SPARTAN3E: primitives_type := u_CAPTURE_SPARTAN3A + 1; constant u_CAPTURE_VIRTEX: primitives_type := u_CAPTURE_SPARTAN3E + 1; constant u_CAPTURE_VIRTEX2: primitives_type := u_CAPTURE_VIRTEX + 1; constant u_CAPTURE_VIRTEX4: primitives_type := u_CAPTURE_VIRTEX2 + 1; constant u_CAPTURE_VIRTEX5: primitives_type := u_CAPTURE_VIRTEX4 + 1; constant u_CAPTURE_VIRTEX6: primitives_type := u_CAPTURE_VIRTEX5 + 1; constant u_CARRY4: primitives_type := u_CAPTURE_VIRTEX6 + 1; constant u_CFGLUT5: primitives_type := u_CARRY4 + 1; constant u_CLKDLL: primitives_type := u_CFGLUT5 + 1; constant u_CLKDLLE: primitives_type := u_CLKDLL + 1; constant u_CLKDLLHF: primitives_type := u_CLKDLLE + 1; constant u_CRC32: primitives_type := u_CLKDLLHF + 1; constant u_CRC64: primitives_type := u_CRC32 + 1; constant u_DCIRESET: primitives_type := u_CRC64 + 1; constant u_DCM: primitives_type := u_DCIRESET + 1; constant u_DCM_ADV: primitives_type := u_DCM + 1; constant u_DCM_BASE: primitives_type := u_DCM_ADV + 1; constant u_DCM_CLKGEN: primitives_type := u_DCM_BASE + 1; constant u_DCM_PS: primitives_type := u_DCM_CLKGEN + 1; constant u_DNA_PORT: primitives_type := u_DCM_PS + 1; constant u_DSP48: primitives_type := u_DNA_PORT + 1; constant u_DSP48A: primitives_type := u_DSP48 + 1; constant u_DSP48A1: primitives_type := u_DSP48A + 1; constant u_DSP48E: primitives_type := u_DSP48A1 + 1; constant u_DSP48E1: primitives_type := u_DSP48E + 1; constant u_DUMMY_INV: primitives_type := u_DSP48E1 + 1; constant u_DUMMY_NOR2: primitives_type := u_DUMMY_INV + 1; constant u_EFUSE_USR: primitives_type := u_DUMMY_NOR2 + 1; constant u_EMAC: primitives_type := u_EFUSE_USR + 1; constant u_FD: primitives_type := u_EMAC + 1; constant u_FD_1: primitives_type := u_FD + 1; constant u_FDC: primitives_type := u_FD_1 + 1; constant u_FDC_1: primitives_type := u_FDC + 1; constant u_FDCE: primitives_type := u_FDC_1 + 1; constant u_FDCE_1: primitives_type := u_FDCE + 1; constant u_FDCP: primitives_type := u_FDCE_1 + 1; constant u_FDCP_1: primitives_type := u_FDCP + 1; constant u_FDCPE: primitives_type := u_FDCP_1 + 1; constant u_FDCPE_1: primitives_type := u_FDCPE + 1; constant u_FDDRCPE: primitives_type := u_FDCPE_1 + 1; constant u_FDDRRSE: primitives_type := u_FDDRCPE + 1; constant u_FDE: primitives_type := u_FDDRRSE + 1; constant u_FDE_1: primitives_type := u_FDE + 1; constant u_FDP: primitives_type := u_FDE_1 + 1; constant u_FDP_1: primitives_type := u_FDP + 1; constant u_FDPE: primitives_type := u_FDP_1 + 1; constant u_FDPE_1: primitives_type := u_FDPE + 1; constant u_FDR: primitives_type := u_FDPE_1 + 1; constant u_FDR_1: primitives_type := u_FDR + 1; constant u_FDRE: primitives_type := u_FDR_1 + 1; constant u_FDRE_1: primitives_type := u_FDRE + 1; constant u_FDRS: primitives_type := u_FDRE_1 + 1; constant u_FDRS_1: primitives_type := u_FDRS + 1; constant u_FDRSE: primitives_type := u_FDRS_1 + 1; constant u_FDRSE_1: primitives_type := u_FDRSE + 1; constant u_FDS: primitives_type := u_FDRSE_1 + 1; constant u_FDS_1: primitives_type := u_FDS + 1; constant u_FDSE: primitives_type := u_FDS_1 + 1; constant u_FDSE_1: primitives_type := u_FDSE + 1; constant u_FIFO16: primitives_type := u_FDSE_1 + 1; constant u_FIFO18: primitives_type := u_FIFO16 + 1; constant u_FIFO18_36: primitives_type := u_FIFO18 + 1; constant u_FIFO18E1: primitives_type := u_FIFO18_36 + 1; constant u_FIFO36: primitives_type := u_FIFO18E1 + 1; constant u_FIFO36_72: primitives_type := u_FIFO36 + 1; constant u_FIFO36E1: primitives_type := u_FIFO36_72 + 1; constant u_FMAP: primitives_type := u_FIFO36E1 + 1; constant u_FRAME_ECC_VIRTEX4: primitives_type := u_FMAP + 1; constant u_FRAME_ECC_VIRTEX5: primitives_type := u_FRAME_ECC_VIRTEX4 + 1; constant u_FRAME_ECC_VIRTEX6: primitives_type := u_FRAME_ECC_VIRTEX5 + 1; constant u_GND: primitives_type := u_FRAME_ECC_VIRTEX6 + 1; constant u_GT10_10GE_4: primitives_type := u_GND + 1; constant u_GT10_10GE_8: primitives_type := u_GT10_10GE_4 + 1; constant u_GT10_10GFC_4: primitives_type := u_GT10_10GE_8 + 1; constant u_GT10_10GFC_8: primitives_type := u_GT10_10GFC_4 + 1; constant u_GT10_AURORA_1: primitives_type := u_GT10_10GFC_8 + 1; constant u_GT10_AURORA_2: primitives_type := u_GT10_AURORA_1 + 1; constant u_GT10_AURORA_4: primitives_type := u_GT10_AURORA_2 + 1; constant u_GT10_AURORAX_4: primitives_type := u_GT10_AURORA_4 + 1; constant u_GT10_AURORAX_8: primitives_type := u_GT10_AURORAX_4 + 1; constant u_GT10_CUSTOM: primitives_type := u_GT10_AURORAX_8 + 1; constant u_GT10_INFINIBAND_1: primitives_type := u_GT10_CUSTOM + 1; constant u_GT10_INFINIBAND_2: primitives_type := u_GT10_INFINIBAND_1 + 1; constant u_GT10_INFINIBAND_4: primitives_type := u_GT10_INFINIBAND_2 + 1; constant u_GT10_OC192_4: primitives_type := u_GT10_INFINIBAND_4 + 1; constant u_GT10_OC192_8: primitives_type := u_GT10_OC192_4 + 1; constant u_GT10_OC48_1: primitives_type := u_GT10_OC192_8 + 1; constant u_GT10_OC48_2: primitives_type := u_GT10_OC48_1 + 1; constant u_GT10_OC48_4: primitives_type := u_GT10_OC48_2 + 1; constant u_GT10_PCI_EXPRESS_1: primitives_type := u_GT10_OC48_4 + 1; constant u_GT10_PCI_EXPRESS_2: primitives_type := u_GT10_PCI_EXPRESS_1 + 1; constant u_GT10_PCI_EXPRESS_4: primitives_type := u_GT10_PCI_EXPRESS_2 + 1; constant u_GT10_XAUI_1: primitives_type := u_GT10_PCI_EXPRESS_4 + 1; constant u_GT10_XAUI_2: primitives_type := u_GT10_XAUI_1 + 1; constant u_GT10_XAUI_4: primitives_type := u_GT10_XAUI_2 + 1; constant u_GT11CLK: primitives_type := u_GT10_XAUI_4 + 1; constant u_GT11CLK_MGT: primitives_type := u_GT11CLK + 1; constant u_GT11_CUSTOM: primitives_type := u_GT11CLK_MGT + 1; constant u_GT_AURORA_1: primitives_type := u_GT11_CUSTOM + 1; constant u_GT_AURORA_2: primitives_type := u_GT_AURORA_1 + 1; constant u_GT_AURORA_4: primitives_type := u_GT_AURORA_2 + 1; constant u_GT_CUSTOM: primitives_type := u_GT_AURORA_4 + 1; constant u_GT_ETHERNET_1: primitives_type := u_GT_CUSTOM + 1; constant u_GT_ETHERNET_2: primitives_type := u_GT_ETHERNET_1 + 1; constant u_GT_ETHERNET_4: primitives_type := u_GT_ETHERNET_2 + 1; constant u_GT_FIBRE_CHAN_1: primitives_type := u_GT_ETHERNET_4 + 1; constant u_GT_FIBRE_CHAN_2: primitives_type := u_GT_FIBRE_CHAN_1 + 1; constant u_GT_FIBRE_CHAN_4: primitives_type := u_GT_FIBRE_CHAN_2 + 1; constant u_GT_INFINIBAND_1: primitives_type := u_GT_FIBRE_CHAN_4 + 1; constant u_GT_INFINIBAND_2: primitives_type := u_GT_INFINIBAND_1 + 1; constant u_GT_INFINIBAND_4: primitives_type := u_GT_INFINIBAND_2 + 1; constant u_GTPA1_DUAL: primitives_type := u_GT_INFINIBAND_4 + 1; constant u_GT_XAUI_1: primitives_type := u_GTPA1_DUAL + 1; constant u_GT_XAUI_2: primitives_type := u_GT_XAUI_1 + 1; constant u_GT_XAUI_4: primitives_type := u_GT_XAUI_2 + 1; constant u_GTXE1: primitives_type := u_GT_XAUI_4 + 1; constant u_IBUF: primitives_type := u_GTXE1 + 1; constant u_IBUF_AGP: primitives_type := u_IBUF + 1; constant u_IBUF_CTT: primitives_type := u_IBUF_AGP + 1; constant u_IBUF_DLY_ADJ: primitives_type := u_IBUF_CTT + 1; constant u_IBUFDS: primitives_type := u_IBUF_DLY_ADJ + 1; constant u_IBUFDS_DIFF_OUT: primitives_type := u_IBUFDS + 1; constant u_IBUFDS_DLY_ADJ: primitives_type := u_IBUFDS_DIFF_OUT + 1; constant u_IBUFDS_GTXE1: primitives_type := u_IBUFDS_DLY_ADJ + 1; constant u_IBUFG: primitives_type := u_IBUFDS_GTXE1 + 1; constant u_IBUFG_AGP: primitives_type := u_IBUFG + 1; constant u_IBUFG_CTT: primitives_type := u_IBUFG_AGP + 1; constant u_IBUFGDS: primitives_type := u_IBUFG_CTT + 1; constant u_IBUFGDS_DIFF_OUT: primitives_type := u_IBUFGDS + 1; constant u_IBUFG_GTL: primitives_type := u_IBUFGDS_DIFF_OUT + 1; constant u_IBUFG_GTLP: primitives_type := u_IBUFG_GTL + 1; constant u_IBUFG_HSTL_I: primitives_type := u_IBUFG_GTLP + 1; constant u_IBUFG_HSTL_III: primitives_type := u_IBUFG_HSTL_I + 1; constant u_IBUFG_HSTL_IV: primitives_type := u_IBUFG_HSTL_III + 1; constant u_IBUFG_LVCMOS18: primitives_type := u_IBUFG_HSTL_IV + 1; constant u_IBUFG_LVCMOS2: primitives_type := u_IBUFG_LVCMOS18 + 1; constant u_IBUFG_LVDS: primitives_type := u_IBUFG_LVCMOS2 + 1; constant u_IBUFG_LVPECL: primitives_type := u_IBUFG_LVDS + 1; constant u_IBUFG_PCI33_3: primitives_type := u_IBUFG_LVPECL + 1; constant u_IBUFG_PCI33_5: primitives_type := u_IBUFG_PCI33_3 + 1; constant u_IBUFG_PCI66_3: primitives_type := u_IBUFG_PCI33_5 + 1; constant u_IBUFG_PCIX66_3: primitives_type := u_IBUFG_PCI66_3 + 1; constant u_IBUFG_SSTL2_I: primitives_type := u_IBUFG_PCIX66_3 + 1; constant u_IBUFG_SSTL2_II: primitives_type := u_IBUFG_SSTL2_I + 1; constant u_IBUFG_SSTL3_I: primitives_type := u_IBUFG_SSTL2_II + 1; constant u_IBUFG_SSTL3_II: primitives_type := u_IBUFG_SSTL3_I + 1; constant u_IBUF_GTL: primitives_type := u_IBUFG_SSTL3_II + 1; constant u_IBUF_GTLP: primitives_type := u_IBUF_GTL + 1; constant u_IBUF_HSTL_I: primitives_type := u_IBUF_GTLP + 1; constant u_IBUF_HSTL_III: primitives_type := u_IBUF_HSTL_I + 1; constant u_IBUF_HSTL_IV: primitives_type := u_IBUF_HSTL_III + 1; constant u_IBUF_LVCMOS18: primitives_type := u_IBUF_HSTL_IV + 1; constant u_IBUF_LVCMOS2: primitives_type := u_IBUF_LVCMOS18 + 1; constant u_IBUF_LVDS: primitives_type := u_IBUF_LVCMOS2 + 1; constant u_IBUF_LVPECL: primitives_type := u_IBUF_LVDS + 1; constant u_IBUF_PCI33_3: primitives_type := u_IBUF_LVPECL + 1; constant u_IBUF_PCI33_5: primitives_type := u_IBUF_PCI33_3 + 1; constant u_IBUF_PCI66_3: primitives_type := u_IBUF_PCI33_5 + 1; constant u_IBUF_PCIX66_3: primitives_type := u_IBUF_PCI66_3 + 1; constant u_IBUF_SSTL2_I: primitives_type := u_IBUF_PCIX66_3 + 1; constant u_IBUF_SSTL2_II: primitives_type := u_IBUF_SSTL2_I + 1; constant u_IBUF_SSTL3_I: primitives_type := u_IBUF_SSTL2_II + 1; constant u_IBUF_SSTL3_II: primitives_type := u_IBUF_SSTL3_I + 1; constant u_ICAP_SPARTAN3A: primitives_type := u_IBUF_SSTL3_II + 1; constant u_ICAP_SPARTAN6: primitives_type := u_ICAP_SPARTAN3A + 1; constant u_ICAP_VIRTEX2: primitives_type := u_ICAP_SPARTAN6 + 1; constant u_ICAP_VIRTEX4: primitives_type := u_ICAP_VIRTEX2 + 1; constant u_ICAP_VIRTEX5: primitives_type := u_ICAP_VIRTEX4 + 1; constant u_ICAP_VIRTEX6: primitives_type := u_ICAP_VIRTEX5 + 1; constant u_IDDR: primitives_type := u_ICAP_VIRTEX6 + 1; constant u_IDDR2: primitives_type := u_IDDR + 1; constant u_IDDR_2CLK: primitives_type := u_IDDR2 + 1; constant u_IDELAY: primitives_type := u_IDDR_2CLK + 1; constant u_IDELAYCTRL: primitives_type := u_IDELAY + 1; constant u_IFDDRCPE: primitives_type := u_IDELAYCTRL + 1; constant u_IFDDRRSE: primitives_type := u_IFDDRCPE + 1; constant u_INV: primitives_type := u_IFDDRRSE + 1; constant u_IOBUF: primitives_type := u_INV + 1; constant u_IOBUF_AGP: primitives_type := u_IOBUF + 1; constant u_IOBUF_CTT: primitives_type := u_IOBUF_AGP + 1; constant u_IOBUFDS: primitives_type := u_IOBUF_CTT + 1; constant u_IOBUFDS_DIFF_OUT: primitives_type := u_IOBUFDS + 1; constant u_IOBUF_F_12: primitives_type := u_IOBUFDS_DIFF_OUT + 1; constant u_IOBUF_F_16: primitives_type := u_IOBUF_F_12 + 1; constant u_IOBUF_F_2: primitives_type := u_IOBUF_F_16 + 1; constant u_IOBUF_F_24: primitives_type := u_IOBUF_F_2 + 1; constant u_IOBUF_F_4: primitives_type := u_IOBUF_F_24 + 1; constant u_IOBUF_F_6: primitives_type := u_IOBUF_F_4 + 1; constant u_IOBUF_F_8: primitives_type := u_IOBUF_F_6 + 1; constant u_IOBUF_GTL: primitives_type := u_IOBUF_F_8 + 1; constant u_IOBUF_GTLP: primitives_type := u_IOBUF_GTL + 1; constant u_IOBUF_HSTL_I: primitives_type := u_IOBUF_GTLP + 1; constant u_IOBUF_HSTL_III: primitives_type := u_IOBUF_HSTL_I + 1; constant u_IOBUF_HSTL_IV: primitives_type := u_IOBUF_HSTL_III + 1; constant u_IOBUF_LVCMOS18: primitives_type := u_IOBUF_HSTL_IV + 1; constant u_IOBUF_LVCMOS2: primitives_type := u_IOBUF_LVCMOS18 + 1; constant u_IOBUF_LVDS: primitives_type := u_IOBUF_LVCMOS2 + 1; constant u_IOBUF_LVPECL: primitives_type := u_IOBUF_LVDS + 1; constant u_IOBUF_PCI33_3: primitives_type := u_IOBUF_LVPECL + 1; constant u_IOBUF_PCI33_5: primitives_type := u_IOBUF_PCI33_3 + 1; constant u_IOBUF_PCI66_3: primitives_type := u_IOBUF_PCI33_5 + 1; constant u_IOBUF_PCIX66_3: primitives_type := u_IOBUF_PCI66_3 + 1; constant u_IOBUF_S_12: primitives_type := u_IOBUF_PCIX66_3 + 1; constant u_IOBUF_S_16: primitives_type := u_IOBUF_S_12 + 1; constant u_IOBUF_S_2: primitives_type := u_IOBUF_S_16 + 1; constant u_IOBUF_S_24: primitives_type := u_IOBUF_S_2 + 1; constant u_IOBUF_S_4: primitives_type := u_IOBUF_S_24 + 1; constant u_IOBUF_S_6: primitives_type := u_IOBUF_S_4 + 1; constant u_IOBUF_S_8: primitives_type := u_IOBUF_S_6 + 1; constant u_IOBUF_SSTL2_I: primitives_type := u_IOBUF_S_8 + 1; constant u_IOBUF_SSTL2_II: primitives_type := u_IOBUF_SSTL2_I + 1; constant u_IOBUF_SSTL3_I: primitives_type := u_IOBUF_SSTL2_II + 1; constant u_IOBUF_SSTL3_II: primitives_type := u_IOBUF_SSTL3_I + 1; constant u_IODELAY: primitives_type := u_IOBUF_SSTL3_II + 1; constant u_IODELAY2: primitives_type := u_IODELAY + 1; constant u_IODELAYE1: primitives_type := u_IODELAY2 + 1; constant u_IODRP2: primitives_type := u_IODELAYE1 + 1; constant u_IODRP2_MCB: primitives_type := u_IODRP2 + 1; constant u_ISERDES: primitives_type := u_IODRP2_MCB + 1; constant u_ISERDES2: primitives_type := u_ISERDES + 1; constant u_ISERDESE1: primitives_type := u_ISERDES2 + 1; constant u_ISERDES_NODELAY: primitives_type := u_ISERDESE1 + 1; constant u_JTAGPPC: primitives_type := u_ISERDES_NODELAY + 1; constant u_JTAG_SIM_SPARTAN6: primitives_type := u_JTAGPPC + 1; constant u_JTAG_SIM_VIRTEX6: primitives_type := u_JTAG_SIM_SPARTAN6 + 1; constant u_KEEPER: primitives_type := u_JTAG_SIM_VIRTEX6 + 1; constant u_KEY_CLEAR: primitives_type := u_KEEPER + 1; constant u_LD: primitives_type := u_KEY_CLEAR + 1; constant u_LD_1: primitives_type := u_LD + 1; constant u_LDC: primitives_type := u_LD_1 + 1; constant u_LDC_1: primitives_type := u_LDC + 1; constant u_LDCE: primitives_type := u_LDC_1 + 1; constant u_LDCE_1: primitives_type := u_LDCE + 1; constant u_LDCP: primitives_type := u_LDCE_1 + 1; constant u_LDCP_1: primitives_type := u_LDCP + 1; constant u_LDCPE: primitives_type := u_LDCP_1 + 1; constant u_LDCPE_1: primitives_type := u_LDCPE + 1; constant u_LDE: primitives_type := u_LDCPE_1 + 1; constant u_LDE_1: primitives_type := u_LDE + 1; constant u_LDP: primitives_type := u_LDE_1 + 1; constant u_LDP_1: primitives_type := u_LDP + 1; constant u_LDPE: primitives_type := u_LDP_1 + 1; constant u_LDPE_1: primitives_type := u_LDPE + 1; constant u_LUT1: primitives_type := u_LDPE_1 + 1; constant u_LUT1_D: primitives_type := u_LUT1 + 1; constant u_LUT1_L: primitives_type := u_LUT1_D + 1; constant u_LUT2: primitives_type := u_LUT1_L + 1; constant u_LUT2_D: primitives_type := u_LUT2 + 1; constant u_LUT2_L: primitives_type := u_LUT2_D + 1; constant u_LUT3: primitives_type := u_LUT2_L + 1; constant u_LUT3_D: primitives_type := u_LUT3 + 1; constant u_LUT3_L: primitives_type := u_LUT3_D + 1; constant u_LUT4: primitives_type := u_LUT3_L + 1; constant u_LUT4_D: primitives_type := u_LUT4 + 1; constant u_LUT4_L: primitives_type := u_LUT4_D + 1; constant u_LUT5: primitives_type := u_LUT4_L + 1; constant u_LUT5_D: primitives_type := u_LUT5 + 1; constant u_LUT5_L: primitives_type := u_LUT5_D + 1; constant u_LUT6: primitives_type := u_LUT5_L + 1; constant u_LUT6_D: primitives_type := u_LUT6 + 1; constant u_LUT6_L: primitives_type := u_LUT6_D + 1; constant u_MCB: primitives_type := u_LUT6_L + 1; constant u_MMCM_ADV: primitives_type := u_MCB + 1; constant u_MMCM_BASE: primitives_type := u_MMCM_ADV + 1; constant u_MULT18X18: primitives_type := u_MMCM_BASE + 1; constant u_MULT18X18S: primitives_type := u_MULT18X18 + 1; constant u_MULT18X18SIO: primitives_type := u_MULT18X18S + 1; constant u_MULT_AND: primitives_type := u_MULT18X18SIO + 1; constant u_MUXCY: primitives_type := u_MULT_AND + 1; constant u_MUXCY_D: primitives_type := u_MUXCY + 1; constant u_MUXCY_L: primitives_type := u_MUXCY_D + 1; constant u_MUXF5: primitives_type := u_MUXCY_L + 1; constant u_MUXF5_D: primitives_type := u_MUXF5 + 1; constant u_MUXF5_L: primitives_type := u_MUXF5_D + 1; constant u_MUXF6: primitives_type := u_MUXF5_L + 1; constant u_MUXF6_D: primitives_type := u_MUXF6 + 1; constant u_MUXF6_L: primitives_type := u_MUXF6_D + 1; constant u_MUXF7: primitives_type := u_MUXF6_L + 1; constant u_MUXF7_D: primitives_type := u_MUXF7 + 1; constant u_MUXF7_L: primitives_type := u_MUXF7_D + 1; constant u_MUXF8: primitives_type := u_MUXF7_L + 1; constant u_MUXF8_D: primitives_type := u_MUXF8 + 1; constant u_MUXF8_L: primitives_type := u_MUXF8_D + 1; constant u_NAND2: primitives_type := u_MUXF8_L + 1; constant u_NAND3: primitives_type := u_NAND2 + 1; constant u_NAND4: primitives_type := u_NAND3 + 1; constant u_NOR2: primitives_type := u_NAND4 + 1; constant u_NOR3: primitives_type := u_NOR2 + 1; constant u_NOR4: primitives_type := u_NOR3 + 1; constant u_OBUF: primitives_type := u_NOR4 + 1; constant u_OBUF_AGP: primitives_type := u_OBUF + 1; constant u_OBUF_CTT: primitives_type := u_OBUF_AGP + 1; constant u_OBUFDS: primitives_type := u_OBUF_CTT + 1; constant u_OBUF_F_12: primitives_type := u_OBUFDS + 1; constant u_OBUF_F_16: primitives_type := u_OBUF_F_12 + 1; constant u_OBUF_F_2: primitives_type := u_OBUF_F_16 + 1; constant u_OBUF_F_24: primitives_type := u_OBUF_F_2 + 1; constant u_OBUF_F_4: primitives_type := u_OBUF_F_24 + 1; constant u_OBUF_F_6: primitives_type := u_OBUF_F_4 + 1; constant u_OBUF_F_8: primitives_type := u_OBUF_F_6 + 1; constant u_OBUF_GTL: primitives_type := u_OBUF_F_8 + 1; constant u_OBUF_GTLP: primitives_type := u_OBUF_GTL + 1; constant u_OBUF_HSTL_I: primitives_type := u_OBUF_GTLP + 1; constant u_OBUF_HSTL_III: primitives_type := u_OBUF_HSTL_I + 1; constant u_OBUF_HSTL_IV: primitives_type := u_OBUF_HSTL_III + 1; constant u_OBUF_LVCMOS18: primitives_type := u_OBUF_HSTL_IV + 1; constant u_OBUF_LVCMOS2: primitives_type := u_OBUF_LVCMOS18 + 1; constant u_OBUF_LVDS: primitives_type := u_OBUF_LVCMOS2 + 1; constant u_OBUF_LVPECL: primitives_type := u_OBUF_LVDS + 1; constant u_OBUF_PCI33_3: primitives_type := u_OBUF_LVPECL + 1; constant u_OBUF_PCI33_5: primitives_type := u_OBUF_PCI33_3 + 1; constant u_OBUF_PCI66_3: primitives_type := u_OBUF_PCI33_5 + 1; constant u_OBUF_PCIX66_3: primitives_type := u_OBUF_PCI66_3 + 1; constant u_OBUF_S_12: primitives_type := u_OBUF_PCIX66_3 + 1; constant u_OBUF_S_16: primitives_type := u_OBUF_S_12 + 1; constant u_OBUF_S_2: primitives_type := u_OBUF_S_16 + 1; constant u_OBUF_S_24: primitives_type := u_OBUF_S_2 + 1; constant u_OBUF_S_4: primitives_type := u_OBUF_S_24 + 1; constant u_OBUF_S_6: primitives_type := u_OBUF_S_4 + 1; constant u_OBUF_S_8: primitives_type := u_OBUF_S_6 + 1; constant u_OBUF_SSTL2_I: primitives_type := u_OBUF_S_8 + 1; constant u_OBUF_SSTL2_II: primitives_type := u_OBUF_SSTL2_I + 1; constant u_OBUF_SSTL3_I: primitives_type := u_OBUF_SSTL2_II + 1; constant u_OBUF_SSTL3_II: primitives_type := u_OBUF_SSTL3_I + 1; constant u_OBUFT: primitives_type := u_OBUF_SSTL3_II + 1; constant u_OBUFT_AGP: primitives_type := u_OBUFT + 1; constant u_OBUFT_CTT: primitives_type := u_OBUFT_AGP + 1; constant u_OBUFTDS: primitives_type := u_OBUFT_CTT + 1; constant u_OBUFT_F_12: primitives_type := u_OBUFTDS + 1; constant u_OBUFT_F_16: primitives_type := u_OBUFT_F_12 + 1; constant u_OBUFT_F_2: primitives_type := u_OBUFT_F_16 + 1; constant u_OBUFT_F_24: primitives_type := u_OBUFT_F_2 + 1; constant u_OBUFT_F_4: primitives_type := u_OBUFT_F_24 + 1; constant u_OBUFT_F_6: primitives_type := u_OBUFT_F_4 + 1; constant u_OBUFT_F_8: primitives_type := u_OBUFT_F_6 + 1; constant u_OBUFT_GTL: primitives_type := u_OBUFT_F_8 + 1; constant u_OBUFT_GTLP: primitives_type := u_OBUFT_GTL + 1; constant u_OBUFT_HSTL_I: primitives_type := u_OBUFT_GTLP + 1; constant u_OBUFT_HSTL_III: primitives_type := u_OBUFT_HSTL_I + 1; constant u_OBUFT_HSTL_IV: primitives_type := u_OBUFT_HSTL_III + 1; constant u_OBUFT_LVCMOS18: primitives_type := u_OBUFT_HSTL_IV + 1; constant u_OBUFT_LVCMOS2: primitives_type := u_OBUFT_LVCMOS18 + 1; constant u_OBUFT_LVDS: primitives_type := u_OBUFT_LVCMOS2 + 1; constant u_OBUFT_LVPECL: primitives_type := u_OBUFT_LVDS + 1; constant u_OBUFT_PCI33_3: primitives_type := u_OBUFT_LVPECL + 1; constant u_OBUFT_PCI33_5: primitives_type := u_OBUFT_PCI33_3 + 1; constant u_OBUFT_PCI66_3: primitives_type := u_OBUFT_PCI33_5 + 1; constant u_OBUFT_PCIX66_3: primitives_type := u_OBUFT_PCI66_3 + 1; constant u_OBUFT_S_12: primitives_type := u_OBUFT_PCIX66_3 + 1; constant u_OBUFT_S_16: primitives_type := u_OBUFT_S_12 + 1; constant u_OBUFT_S_2: primitives_type := u_OBUFT_S_16 + 1; constant u_OBUFT_S_24: primitives_type := u_OBUFT_S_2 + 1; constant u_OBUFT_S_4: primitives_type := u_OBUFT_S_24 + 1; constant u_OBUFT_S_6: primitives_type := u_OBUFT_S_4 + 1; constant u_OBUFT_S_8: primitives_type := u_OBUFT_S_6 + 1; constant u_OBUFT_SSTL2_I: primitives_type := u_OBUFT_S_8 + 1; constant u_OBUFT_SSTL2_II: primitives_type := u_OBUFT_SSTL2_I + 1; constant u_OBUFT_SSTL3_I: primitives_type := u_OBUFT_SSTL2_II + 1; constant u_OBUFT_SSTL3_II: primitives_type := u_OBUFT_SSTL3_I + 1; constant u_OCT_CALIBRATE: primitives_type := u_OBUFT_SSTL3_II + 1; constant u_ODDR: primitives_type := u_OCT_CALIBRATE + 1; constant u_ODDR2: primitives_type := u_ODDR + 1; constant u_OFDDRCPE: primitives_type := u_ODDR2 + 1; constant u_OFDDRRSE: primitives_type := u_OFDDRCPE + 1; constant u_OFDDRTCPE: primitives_type := u_OFDDRRSE + 1; constant u_OFDDRTRSE: primitives_type := u_OFDDRTCPE + 1; constant u_OR2: primitives_type := u_OFDDRTRSE + 1; constant u_OR2L: primitives_type := u_OR2 + 1; constant u_OR3: primitives_type := u_OR2L + 1; constant u_OR4: primitives_type := u_OR3 + 1; constant u_ORCY: primitives_type := u_OR4 + 1; constant u_OSERDES: primitives_type := u_ORCY + 1; constant u_OSERDES2: primitives_type := u_OSERDES + 1; constant u_OSERDESE1: primitives_type := u_OSERDES2 + 1; constant u_PCIE_2_0: primitives_type := u_OSERDESE1 + 1; constant u_PCIE_A1: primitives_type := u_PCIE_2_0 + 1; constant u_PLL_ADV: primitives_type := u_PCIE_A1 + 1; constant u_PLL_BASE: primitives_type := u_PLL_ADV + 1; constant u_PMCD: primitives_type := u_PLL_BASE + 1; constant u_POST_CRC_INTERNAL: primitives_type := u_PMCD + 1; constant u_PPC405: primitives_type := u_POST_CRC_INTERNAL + 1; constant u_PPC405_ADV: primitives_type := u_PPC405 + 1; constant u_PPR_FRAME: primitives_type := u_PPC405_ADV + 1; constant u_PULLDOWN: primitives_type := u_PPR_FRAME + 1; constant u_PULLUP: primitives_type := u_PULLDOWN + 1; constant u_RAM128X1D: primitives_type := u_PULLUP + 1; constant u_RAM128X1S: primitives_type := u_RAM128X1D + 1; constant u_RAM128X1S_1: primitives_type := u_RAM128X1S + 1; constant u_RAM16X1D: primitives_type := u_RAM128X1S_1 + 1; constant u_RAM16X1D_1: primitives_type := u_RAM16X1D + 1; constant u_RAM16X1S: primitives_type := u_RAM16X1D_1 + 1; constant u_RAM16X1S_1: primitives_type := u_RAM16X1S + 1; constant u_RAM16X2S: primitives_type := u_RAM16X1S_1 + 1; constant u_RAM16X4S: primitives_type := u_RAM16X2S + 1; constant u_RAM16X8S: primitives_type := u_RAM16X4S + 1; constant u_RAM256X1S: primitives_type := u_RAM16X8S + 1; constant u_RAM32M: primitives_type := u_RAM256X1S + 1; constant u_RAM32X1D: primitives_type := u_RAM32M + 1; constant u_RAM32X1D_1: primitives_type := u_RAM32X1D + 1; constant u_RAM32X1S: primitives_type := u_RAM32X1D_1 + 1; constant u_RAM32X1S_1: primitives_type := u_RAM32X1S + 1; constant u_RAM32X2S: primitives_type := u_RAM32X1S_1 + 1; constant u_RAM32X4S: primitives_type := u_RAM32X2S + 1; constant u_RAM32X8S: primitives_type := u_RAM32X4S + 1; constant u_RAM64M: primitives_type := u_RAM32X8S + 1; constant u_RAM64X1D: primitives_type := u_RAM64M + 1; constant u_RAM64X1D_1: primitives_type := u_RAM64X1D + 1; constant u_RAM64X1S: primitives_type := u_RAM64X1D_1 + 1; constant u_RAM64X1S_1: primitives_type := u_RAM64X1S + 1; constant u_RAM64X2S: primitives_type := u_RAM64X1S_1 + 1; constant u_RAMB16: primitives_type := u_RAM64X2S + 1; constant u_RAMB16BWE: primitives_type := u_RAMB16 + 1; constant u_RAMB16BWER: primitives_type := u_RAMB16BWE + 1; constant u_RAMB16BWE_S18: primitives_type := u_RAMB16BWER + 1; constant u_RAMB16BWE_S18_S18: primitives_type := u_RAMB16BWE_S18 + 1; constant u_RAMB16BWE_S18_S9: primitives_type := u_RAMB16BWE_S18_S18 + 1; constant u_RAMB16BWE_S36: primitives_type := u_RAMB16BWE_S18_S9 + 1; constant u_RAMB16BWE_S36_S18: primitives_type := u_RAMB16BWE_S36 + 1; constant u_RAMB16BWE_S36_S36: primitives_type := u_RAMB16BWE_S36_S18 + 1; constant u_RAMB16BWE_S36_S9: primitives_type := u_RAMB16BWE_S36_S36 + 1; constant u_RAMB16_S1: primitives_type := u_RAMB16BWE_S36_S9 + 1; constant u_RAMB16_S18: primitives_type := u_RAMB16_S1 + 1; constant u_RAMB16_S18_S18: primitives_type := u_RAMB16_S18 + 1; constant u_RAMB16_S18_S36: primitives_type := u_RAMB16_S18_S18 + 1; constant u_RAMB16_S1_S1: primitives_type := u_RAMB16_S18_S36 + 1; constant u_RAMB16_S1_S18: primitives_type := u_RAMB16_S1_S1 + 1; constant u_RAMB16_S1_S2: primitives_type := u_RAMB16_S1_S18 + 1; constant u_RAMB16_S1_S36: primitives_type := u_RAMB16_S1_S2 + 1; constant u_RAMB16_S1_S4: primitives_type := u_RAMB16_S1_S36 + 1; constant u_RAMB16_S1_S9: primitives_type := u_RAMB16_S1_S4 + 1; constant u_RAMB16_S2: primitives_type := u_RAMB16_S1_S9 + 1; constant u_RAMB16_S2_S18: primitives_type := u_RAMB16_S2 + 1; constant u_RAMB16_S2_S2: primitives_type := u_RAMB16_S2_S18 + 1; constant u_RAMB16_S2_S36: primitives_type := u_RAMB16_S2_S2 + 1; constant u_RAMB16_S2_S4: primitives_type := u_RAMB16_S2_S36 + 1; constant u_RAMB16_S2_S9: primitives_type := u_RAMB16_S2_S4 + 1; constant u_RAMB16_S36: primitives_type := u_RAMB16_S2_S9 + 1; constant u_RAMB16_S36_S36: primitives_type := u_RAMB16_S36 + 1; constant u_RAMB16_S4: primitives_type := u_RAMB16_S36_S36 + 1; constant u_RAMB16_S4_S18: primitives_type := u_RAMB16_S4 + 1; constant u_RAMB16_S4_S36: primitives_type := u_RAMB16_S4_S18 + 1; constant u_RAMB16_S4_S4: primitives_type := u_RAMB16_S4_S36 + 1; constant u_RAMB16_S4_S9: primitives_type := u_RAMB16_S4_S4 + 1; constant u_RAMB16_S9: primitives_type := u_RAMB16_S4_S9 + 1; constant u_RAMB16_S9_S18: primitives_type := u_RAMB16_S9 + 1; constant u_RAMB16_S9_S36: primitives_type := u_RAMB16_S9_S18 + 1; constant u_RAMB16_S9_S9: primitives_type := u_RAMB16_S9_S36 + 1; constant u_RAMB18: primitives_type := u_RAMB16_S9_S9 + 1; constant u_RAMB18E1: primitives_type := u_RAMB18 + 1; constant u_RAMB18SDP: primitives_type := u_RAMB18E1 + 1; constant u_RAMB32_S64_ECC: primitives_type := u_RAMB18SDP + 1; constant u_RAMB36: primitives_type := u_RAMB32_S64_ECC + 1; constant u_RAMB36E1: primitives_type := u_RAMB36 + 1; constant u_RAMB36_EXP: primitives_type := u_RAMB36E1 + 1; constant u_RAMB36SDP: primitives_type := u_RAMB36_EXP + 1; constant u_RAMB36SDP_EXP: primitives_type := u_RAMB36SDP + 1; constant u_RAMB4_S1: primitives_type := u_RAMB36SDP_EXP + 1; constant u_RAMB4_S16: primitives_type := u_RAMB4_S1 + 1; constant u_RAMB4_S16_S16: primitives_type := u_RAMB4_S16 + 1; constant u_RAMB4_S1_S1: primitives_type := u_RAMB4_S16_S16 + 1; constant u_RAMB4_S1_S16: primitives_type := u_RAMB4_S1_S1 + 1; constant u_RAMB4_S1_S2: primitives_type := u_RAMB4_S1_S16 + 1; constant u_RAMB4_S1_S4: primitives_type := u_RAMB4_S1_S2 + 1; constant u_RAMB4_S1_S8: primitives_type := u_RAMB4_S1_S4 + 1; constant u_RAMB4_S2: primitives_type := u_RAMB4_S1_S8 + 1; constant u_RAMB4_S2_S16: primitives_type := u_RAMB4_S2 + 1; constant u_RAMB4_S2_S2: primitives_type := u_RAMB4_S2_S16 + 1; constant u_RAMB4_S2_S4: primitives_type := u_RAMB4_S2_S2 + 1; constant u_RAMB4_S2_S8: primitives_type := u_RAMB4_S2_S4 + 1; constant u_RAMB4_S4: primitives_type := u_RAMB4_S2_S8 + 1; constant u_RAMB4_S4_S16: primitives_type := u_RAMB4_S4 + 1; constant u_RAMB4_S4_S4: primitives_type := u_RAMB4_S4_S16 + 1; constant u_RAMB4_S4_S8: primitives_type := u_RAMB4_S4_S4 + 1; constant u_RAMB4_S8: primitives_type := u_RAMB4_S4_S8 + 1; constant u_RAMB4_S8_S16: primitives_type := u_RAMB4_S8 + 1; constant u_RAMB4_S8_S8: primitives_type := u_RAMB4_S8_S16 + 1; constant u_RAMB8BWER: primitives_type := u_RAMB4_S8_S8 + 1; constant u_ROM128X1: primitives_type := u_RAMB8BWER + 1; constant u_ROM16X1: primitives_type := u_ROM128X1 + 1; constant u_ROM256X1: primitives_type := u_ROM16X1 + 1; constant u_ROM32X1: primitives_type := u_ROM256X1 + 1; constant u_ROM64X1: primitives_type := u_ROM32X1 + 1; constant u_SLAVE_SPI: primitives_type := u_ROM64X1 + 1; constant u_SPI_ACCESS: primitives_type := u_SLAVE_SPI + 1; constant u_SRL16: primitives_type := u_SPI_ACCESS + 1; constant u_SRL16_1: primitives_type := u_SRL16 + 1; constant u_SRL16E: primitives_type := u_SRL16_1 + 1; constant u_SRL16E_1: primitives_type := u_SRL16E + 1; constant u_SRLC16: primitives_type := u_SRL16E_1 + 1; constant u_SRLC16_1: primitives_type := u_SRLC16 + 1; constant u_SRLC16E: primitives_type := u_SRLC16_1 + 1; constant u_SRLC16E_1: primitives_type := u_SRLC16E + 1; constant u_SRLC32E: primitives_type := u_SRLC16E_1 + 1; constant u_STARTBUF_SPARTAN2: primitives_type := u_SRLC32E + 1; constant u_STARTBUF_SPARTAN3: primitives_type := u_STARTBUF_SPARTAN2 + 1; constant u_STARTBUF_SPARTAN3E: primitives_type := u_STARTBUF_SPARTAN3 + 1; constant u_STARTBUF_VIRTEX: primitives_type := u_STARTBUF_SPARTAN3E + 1; constant u_STARTBUF_VIRTEX2: primitives_type := u_STARTBUF_VIRTEX + 1; constant u_STARTBUF_VIRTEX4: primitives_type := u_STARTBUF_VIRTEX2 + 1; constant u_STARTUP_SPARTAN2: primitives_type := u_STARTBUF_VIRTEX4 + 1; constant u_STARTUP_SPARTAN3: primitives_type := u_STARTUP_SPARTAN2 + 1; constant u_STARTUP_SPARTAN3A: primitives_type := u_STARTUP_SPARTAN3 + 1; constant u_STARTUP_SPARTAN3E: primitives_type := u_STARTUP_SPARTAN3A + 1; constant u_STARTUP_SPARTAN6: primitives_type := u_STARTUP_SPARTAN3E + 1; constant u_STARTUP_VIRTEX: primitives_type := u_STARTUP_SPARTAN6 + 1; constant u_STARTUP_VIRTEX2: primitives_type := u_STARTUP_VIRTEX + 1; constant u_STARTUP_VIRTEX4: primitives_type := u_STARTUP_VIRTEX2 + 1; constant u_STARTUP_VIRTEX5: primitives_type := u_STARTUP_VIRTEX4 + 1; constant u_STARTUP_VIRTEX6: primitives_type := u_STARTUP_VIRTEX5 + 1; constant u_SUSPEND_SYNC: primitives_type := u_STARTUP_VIRTEX6 + 1; constant u_SYSMON: primitives_type := u_SUSPEND_SYNC + 1; constant u_TEMAC_SINGLE: primitives_type := u_SYSMON + 1; constant u_TOC: primitives_type := u_TEMAC_SINGLE + 1; constant u_TOCBUF: primitives_type := u_TOC + 1; constant u_USR_ACCESS_VIRTEX4: primitives_type := u_TOCBUF + 1; constant u_USR_ACCESS_VIRTEX5: primitives_type := u_USR_ACCESS_VIRTEX4 + 1; constant u_USR_ACCESS_VIRTEX6: primitives_type := u_USR_ACCESS_VIRTEX5 + 1; constant u_VCC: primitives_type := u_USR_ACCESS_VIRTEX6 + 1; constant u_XNOR2: primitives_type := u_VCC + 1; constant u_XNOR3: primitives_type := u_XNOR2 + 1; constant u_XNOR4: primitives_type := u_XNOR3 + 1; constant u_XOR2: primitives_type := u_XNOR4 + 1; constant u_XOR3: primitives_type := u_XOR2 + 1; constant u_XOR4: primitives_type := u_XOR3 + 1; constant u_XORCY: primitives_type := u_XOR4 + 1; constant u_XORCY_D: primitives_type := u_XORCY + 1; constant u_XORCY_L: primitives_type := u_XORCY_D + 1; -- Primitives added for artix7, kintex6, virtex7, and zynq constant u_AND2B1: primitives_type := u_XORCY_L + 1; constant u_AND2B2: primitives_type := u_AND2B1 + 1; constant u_AND3B1: primitives_type := u_AND2B2 + 1; constant u_AND3B2: primitives_type := u_AND3B1 + 1; constant u_AND3B3: primitives_type := u_AND3B2 + 1; constant u_AND4B1: primitives_type := u_AND3B3 + 1; constant u_AND4B2: primitives_type := u_AND4B1 + 1; constant u_AND4B3: primitives_type := u_AND4B2 + 1; constant u_AND4B4: primitives_type := u_AND4B3 + 1; constant u_AND5: primitives_type := u_AND4B4 + 1; constant u_AND5B1: primitives_type := u_AND5 + 1; constant u_AND5B2: primitives_type := u_AND5B1 + 1; constant u_AND5B3: primitives_type := u_AND5B2 + 1; constant u_AND5B4: primitives_type := u_AND5B3 + 1; constant u_AND5B5: primitives_type := u_AND5B4 + 1; constant u_BSCANE2: primitives_type := u_AND5B5 + 1; constant u_BUFMR: primitives_type := u_BSCANE2 + 1; constant u_BUFMRCE: primitives_type := u_BUFMR + 1; constant u_CAPTUREE2: primitives_type := u_BUFMRCE + 1; constant u_CFG_IO_ACCESS: primitives_type := u_CAPTUREE2 + 1; constant u_FRAME_ECCE2: primitives_type := u_CFG_IO_ACCESS + 1; constant u_GTXE2_CHANNEL: primitives_type := u_FRAME_ECCE2 + 1; constant u_GTXE2_COMMON: primitives_type := u_GTXE2_CHANNEL + 1; constant u_IBUF_DCIEN: primitives_type := u_GTXE2_COMMON + 1; constant u_IBUFDS_BLVDS_25: primitives_type := u_IBUF_DCIEN + 1; constant u_IBUFDS_DCIEN: primitives_type := u_IBUFDS_BLVDS_25 + 1; constant u_IBUFDS_DIFF_OUT_DCIEN: primitives_type := u_IBUFDS_DCIEN + 1; constant u_IBUFDS_GTE2: primitives_type := u_IBUFDS_DIFF_OUT_DCIEN + 1; constant u_IBUFDS_LVDS_25: primitives_type := u_IBUFDS_GTE2 + 1; constant u_IBUFGDS_BLVDS_25: primitives_type := u_IBUFDS_LVDS_25 + 1; constant u_IBUFGDS_LVDS_25: primitives_type := u_IBUFGDS_BLVDS_25 + 1; constant u_IBUFG_HSTL_I_18: primitives_type := u_IBUFGDS_LVDS_25 + 1; constant u_IBUFG_HSTL_I_DCI: primitives_type := u_IBUFG_HSTL_I_18 + 1; constant u_IBUFG_HSTL_I_DCI_18: primitives_type := u_IBUFG_HSTL_I_DCI + 1; constant u_IBUFG_HSTL_II: primitives_type := u_IBUFG_HSTL_I_DCI_18 + 1; constant u_IBUFG_HSTL_II_18: primitives_type := u_IBUFG_HSTL_II + 1; constant u_IBUFG_HSTL_II_DCI: primitives_type := u_IBUFG_HSTL_II_18 + 1; constant u_IBUFG_HSTL_II_DCI_18: primitives_type := u_IBUFG_HSTL_II_DCI + 1; constant u_IBUFG_HSTL_III_18: primitives_type := u_IBUFG_HSTL_II_DCI_18 + 1; constant u_IBUFG_HSTL_III_DCI: primitives_type := u_IBUFG_HSTL_III_18 + 1; constant u_IBUFG_HSTL_III_DCI_18: primitives_type := u_IBUFG_HSTL_III_DCI + 1; constant u_IBUFG_LVCMOS12: primitives_type := u_IBUFG_HSTL_III_DCI_18 + 1; constant u_IBUFG_LVCMOS15: primitives_type := u_IBUFG_LVCMOS12 + 1; constant u_IBUFG_LVCMOS25: primitives_type := u_IBUFG_LVCMOS15 + 1; constant u_IBUFG_LVCMOS33: primitives_type := u_IBUFG_LVCMOS25 + 1; constant u_IBUFG_LVDCI_15: primitives_type := u_IBUFG_LVCMOS33 + 1; constant u_IBUFG_LVDCI_18: primitives_type := u_IBUFG_LVDCI_15 + 1; constant u_IBUFG_LVDCI_DV2_15: primitives_type := u_IBUFG_LVDCI_18 + 1; constant u_IBUFG_LVDCI_DV2_18: primitives_type := u_IBUFG_LVDCI_DV2_15 + 1; constant u_IBUFG_LVTTL: primitives_type := u_IBUFG_LVDCI_DV2_18 + 1; constant u_IBUFG_SSTL18_I: primitives_type := u_IBUFG_LVTTL + 1; constant u_IBUFG_SSTL18_I_DCI: primitives_type := u_IBUFG_SSTL18_I + 1; constant u_IBUFG_SSTL18_II: primitives_type := u_IBUFG_SSTL18_I_DCI + 1; constant u_IBUFG_SSTL18_II_DCI: primitives_type := u_IBUFG_SSTL18_II + 1; constant u_IBUF_HSTL_I_18: primitives_type := u_IBUFG_SSTL18_II_DCI + 1; constant u_IBUF_HSTL_I_DCI: primitives_type := u_IBUF_HSTL_I_18 + 1; constant u_IBUF_HSTL_I_DCI_18: primitives_type := u_IBUF_HSTL_I_DCI + 1; constant u_IBUF_HSTL_II: primitives_type := u_IBUF_HSTL_I_DCI_18 + 1; constant u_IBUF_HSTL_II_18: primitives_type := u_IBUF_HSTL_II + 1; constant u_IBUF_HSTL_II_DCI: primitives_type := u_IBUF_HSTL_II_18 + 1; constant u_IBUF_HSTL_II_DCI_18: primitives_type := u_IBUF_HSTL_II_DCI + 1; constant u_IBUF_HSTL_III_18: primitives_type := u_IBUF_HSTL_II_DCI_18 + 1; constant u_IBUF_HSTL_III_DCI: primitives_type := u_IBUF_HSTL_III_18 + 1; constant u_IBUF_HSTL_III_DCI_18: primitives_type := u_IBUF_HSTL_III_DCI + 1; constant u_IBUF_LVCMOS12: primitives_type := u_IBUF_HSTL_III_DCI_18 + 1; constant u_IBUF_LVCMOS15: primitives_type := u_IBUF_LVCMOS12 + 1; constant u_IBUF_LVCMOS25: primitives_type := u_IBUF_LVCMOS15 + 1; constant u_IBUF_LVCMOS33: primitives_type := u_IBUF_LVCMOS25 + 1; constant u_IBUF_LVDCI_15: primitives_type := u_IBUF_LVCMOS33 + 1; constant u_IBUF_LVDCI_18: primitives_type := u_IBUF_LVDCI_15 + 1; constant u_IBUF_LVDCI_DV2_15: primitives_type := u_IBUF_LVDCI_18 + 1; constant u_IBUF_LVDCI_DV2_18: primitives_type := u_IBUF_LVDCI_DV2_15 + 1; constant u_IBUF_LVTTL: primitives_type := u_IBUF_LVDCI_DV2_18 + 1; constant u_IBUF_SSTL18_I: primitives_type := u_IBUF_LVTTL + 1; constant u_IBUF_SSTL18_I_DCI: primitives_type := u_IBUF_SSTL18_I + 1; constant u_IBUF_SSTL18_II: primitives_type := u_IBUF_SSTL18_I_DCI + 1; constant u_IBUF_SSTL18_II_DCI: primitives_type := u_IBUF_SSTL18_II + 1; constant u_ICAPE2: primitives_type := u_IBUF_SSTL18_II_DCI + 1; constant u_IDELAYE2: primitives_type := u_ICAPE2 + 1; constant u_IN_FIFO: primitives_type := u_IDELAYE2 + 1; constant u_IOBUFDS_BLVDS_25: primitives_type := u_IN_FIFO + 1; constant u_IOBUFDS_DIFF_OUT_DCIEN: primitives_type := u_IOBUFDS_BLVDS_25 + 1; constant u_IOBUF_HSTL_I_18: primitives_type := u_IOBUFDS_DIFF_OUT_DCIEN + 1; constant u_IOBUF_HSTL_II: primitives_type := u_IOBUF_HSTL_I_18 + 1; constant u_IOBUF_HSTL_II_18: primitives_type := u_IOBUF_HSTL_II + 1; constant u_IOBUF_HSTL_II_DCI: primitives_type := u_IOBUF_HSTL_II_18 + 1; constant u_IOBUF_HSTL_II_DCI_18: primitives_type := u_IOBUF_HSTL_II_DCI + 1; constant u_IOBUF_HSTL_III_18: primitives_type := u_IOBUF_HSTL_II_DCI_18 + 1; constant u_IOBUF_LVCMOS12: primitives_type := u_IOBUF_HSTL_III_18 + 1; constant u_IOBUF_LVCMOS15: primitives_type := u_IOBUF_LVCMOS12 + 1; constant u_IOBUF_LVCMOS25: primitives_type := u_IOBUF_LVCMOS15 + 1; constant u_IOBUF_LVCMOS33: primitives_type := u_IOBUF_LVCMOS25 + 1; constant u_IOBUF_LVDCI_15: primitives_type := u_IOBUF_LVCMOS33 + 1; constant u_IOBUF_LVDCI_18: primitives_type := u_IOBUF_LVDCI_15 + 1; constant u_IOBUF_LVDCI_DV2_15: primitives_type := u_IOBUF_LVDCI_18 + 1; constant u_IOBUF_LVDCI_DV2_18: primitives_type := u_IOBUF_LVDCI_DV2_15 + 1; constant u_IOBUF_LVTTL: primitives_type := u_IOBUF_LVDCI_DV2_18 + 1; constant u_IOBUF_SSTL18_I: primitives_type := u_IOBUF_LVTTL + 1; constant u_IOBUF_SSTL18_II: primitives_type := u_IOBUF_SSTL18_I + 1; constant u_IOBUF_SSTL18_II_DCI: primitives_type := u_IOBUF_SSTL18_II + 1; constant u_ISERDESE2: primitives_type := u_IOBUF_SSTL18_II_DCI + 1; constant u_JTAG_SIME2: primitives_type := u_ISERDESE2 + 1; constant u_LUT6_2: primitives_type := u_JTAG_SIME2 + 1; constant u_MMCME2_ADV: primitives_type := u_LUT6_2 + 1; constant u_MMCME2_BASE: primitives_type := u_MMCME2_ADV + 1; constant u_NAND2B1: primitives_type := u_MMCME2_BASE + 1; constant u_NAND2B2: primitives_type := u_NAND2B1 + 1; constant u_NAND3B1: primitives_type := u_NAND2B2 + 1; constant u_NAND3B2: primitives_type := u_NAND3B1 + 1; constant u_NAND3B3: primitives_type := u_NAND3B2 + 1; constant u_NAND4B1: primitives_type := u_NAND3B3 + 1; constant u_NAND4B2: primitives_type := u_NAND4B1 + 1; constant u_NAND4B3: primitives_type := u_NAND4B2 + 1; constant u_NAND4B4: primitives_type := u_NAND4B3 + 1; constant u_NAND5: primitives_type := u_NAND4B4 + 1; constant u_NAND5B1: primitives_type := u_NAND5 + 1; constant u_NAND5B2: primitives_type := u_NAND5B1 + 1; constant u_NAND5B3: primitives_type := u_NAND5B2 + 1; constant u_NAND5B4: primitives_type := u_NAND5B3 + 1; constant u_NAND5B5: primitives_type := u_NAND5B4 + 1; constant u_NOR2B1: primitives_type := u_NAND5B5 + 1; constant u_NOR2B2: primitives_type := u_NOR2B1 + 1; constant u_NOR3B1: primitives_type := u_NOR2B2 + 1; constant u_NOR3B2: primitives_type := u_NOR3B1 + 1; constant u_NOR3B3: primitives_type := u_NOR3B2 + 1; constant u_NOR4B1: primitives_type := u_NOR3B3 + 1; constant u_NOR4B2: primitives_type := u_NOR4B1 + 1; constant u_NOR4B3: primitives_type := u_NOR4B2 + 1; constant u_NOR4B4: primitives_type := u_NOR4B3 + 1; constant u_NOR5: primitives_type := u_NOR4B4 + 1; constant u_NOR5B1: primitives_type := u_NOR5 + 1; constant u_NOR5B2: primitives_type := u_NOR5B1 + 1; constant u_NOR5B3: primitives_type := u_NOR5B2 + 1; constant u_NOR5B4: primitives_type := u_NOR5B3 + 1; constant u_NOR5B5: primitives_type := u_NOR5B4 + 1; constant u_OBUFDS_BLVDS_25: primitives_type := u_NOR5B5 + 1; constant u_OBUFDS_DUAL_BUF: primitives_type := u_OBUFDS_BLVDS_25 + 1; constant u_OBUFDS_LVDS_25: primitives_type := u_OBUFDS_DUAL_BUF + 1; constant u_OBUF_HSTL_I_18: primitives_type := u_OBUFDS_LVDS_25 + 1; constant u_OBUF_HSTL_I_DCI: primitives_type := u_OBUF_HSTL_I_18 + 1; constant u_OBUF_HSTL_I_DCI_18: primitives_type := u_OBUF_HSTL_I_DCI + 1; constant u_OBUF_HSTL_II: primitives_type := u_OBUF_HSTL_I_DCI_18 + 1; constant u_OBUF_HSTL_II_18: primitives_type := u_OBUF_HSTL_II + 1; constant u_OBUF_HSTL_II_DCI: primitives_type := u_OBUF_HSTL_II_18 + 1; constant u_OBUF_HSTL_II_DCI_18: primitives_type := u_OBUF_HSTL_II_DCI + 1; constant u_OBUF_HSTL_III_18: primitives_type := u_OBUF_HSTL_II_DCI_18 + 1; constant u_OBUF_HSTL_III_DCI: primitives_type := u_OBUF_HSTL_III_18 + 1; constant u_OBUF_HSTL_III_DCI_18: primitives_type := u_OBUF_HSTL_III_DCI + 1; constant u_OBUF_LVCMOS12: primitives_type := u_OBUF_HSTL_III_DCI_18 + 1; constant u_OBUF_LVCMOS15: primitives_type := u_OBUF_LVCMOS12 + 1; constant u_OBUF_LVCMOS25: primitives_type := u_OBUF_LVCMOS15 + 1; constant u_OBUF_LVCMOS33: primitives_type := u_OBUF_LVCMOS25 + 1; constant u_OBUF_LVDCI_15: primitives_type := u_OBUF_LVCMOS33 + 1; constant u_OBUF_LVDCI_18: primitives_type := u_OBUF_LVDCI_15 + 1; constant u_OBUF_LVDCI_DV2_15: primitives_type := u_OBUF_LVDCI_18 + 1; constant u_OBUF_LVDCI_DV2_18: primitives_type := u_OBUF_LVDCI_DV2_15 + 1; constant u_OBUF_LVTTL: primitives_type := u_OBUF_LVDCI_DV2_18 + 1; constant u_OBUF_SSTL18_I: primitives_type := u_OBUF_LVTTL + 1; constant u_OBUF_SSTL18_I_DCI: primitives_type := u_OBUF_SSTL18_I + 1; constant u_OBUF_SSTL18_II: primitives_type := u_OBUF_SSTL18_I_DCI + 1; constant u_OBUF_SSTL18_II_DCI: primitives_type := u_OBUF_SSTL18_II + 1; constant u_OBUFT_DCIEN: primitives_type := u_OBUF_SSTL18_II_DCI + 1; constant u_OBUFTDS_BLVDS_25: primitives_type := u_OBUFT_DCIEN + 1; constant u_OBUFTDS_DCIEN: primitives_type := u_OBUFTDS_BLVDS_25 + 1; constant u_OBUFTDS_DCIEN_DUAL_BUF: primitives_type := u_OBUFTDS_DCIEN + 1; constant u_OBUFTDS_DUAL_BUF: primitives_type := u_OBUFTDS_DCIEN_DUAL_BUF + 1; constant u_OBUFTDS_LVDS_25: primitives_type := u_OBUFTDS_DUAL_BUF + 1; constant u_OBUFT_HSTL_I_18: primitives_type := u_OBUFTDS_LVDS_25 + 1; constant u_OBUFT_HSTL_I_DCI: primitives_type := u_OBUFT_HSTL_I_18 + 1; constant u_OBUFT_HSTL_I_DCI_18: primitives_type := u_OBUFT_HSTL_I_DCI + 1; constant u_OBUFT_HSTL_II: primitives_type := u_OBUFT_HSTL_I_DCI_18 + 1; constant u_OBUFT_HSTL_II_18: primitives_type := u_OBUFT_HSTL_II + 1; constant u_OBUFT_HSTL_II_DCI: primitives_type := u_OBUFT_HSTL_II_18 + 1; constant u_OBUFT_HSTL_II_DCI_18: primitives_type := u_OBUFT_HSTL_II_DCI + 1; constant u_OBUFT_HSTL_III_18: primitives_type := u_OBUFT_HSTL_II_DCI_18 + 1; constant u_OBUFT_HSTL_III_DCI: primitives_type := u_OBUFT_HSTL_III_18 + 1; constant u_OBUFT_HSTL_III_DCI_18: primitives_type := u_OBUFT_HSTL_III_DCI + 1; constant u_OBUFT_LVCMOS12: primitives_type := u_OBUFT_HSTL_III_DCI_18 + 1; constant u_OBUFT_LVCMOS15: primitives_type := u_OBUFT_LVCMOS12 + 1; constant u_OBUFT_LVCMOS25: primitives_type := u_OBUFT_LVCMOS15 + 1; constant u_OBUFT_LVCMOS33: primitives_type := u_OBUFT_LVCMOS25 + 1; constant u_OBUFT_LVDCI_15: primitives_type := u_OBUFT_LVCMOS33 + 1; constant u_OBUFT_LVDCI_18: primitives_type := u_OBUFT_LVDCI_15 + 1; constant u_OBUFT_LVDCI_DV2_15: primitives_type := u_OBUFT_LVDCI_18 + 1; constant u_OBUFT_LVDCI_DV2_18: primitives_type := u_OBUFT_LVDCI_DV2_15 + 1; constant u_OBUFT_LVTTL: primitives_type := u_OBUFT_LVDCI_DV2_18 + 1; constant u_OBUFT_SSTL18_I: primitives_type := u_OBUFT_LVTTL + 1; constant u_OBUFT_SSTL18_I_DCI: primitives_type := u_OBUFT_SSTL18_I + 1; constant u_OBUFT_SSTL18_II: primitives_type := u_OBUFT_SSTL18_I_DCI + 1; constant u_OBUFT_SSTL18_II_DCI: primitives_type := u_OBUFT_SSTL18_II + 1; constant u_ODELAYE2: primitives_type := u_OBUFT_SSTL18_II_DCI + 1; constant u_OR2B1: primitives_type := u_ODELAYE2 + 1; constant u_OR2B2: primitives_type := u_OR2B1 + 1; constant u_OR3B1: primitives_type := u_OR2B2 + 1; constant u_OR3B2: primitives_type := u_OR3B1 + 1; constant u_OR3B3: primitives_type := u_OR3B2 + 1; constant u_OR4B1: primitives_type := u_OR3B3 + 1; constant u_OR4B2: primitives_type := u_OR4B1 + 1; constant u_OR4B3: primitives_type := u_OR4B2 + 1; constant u_OR4B4: primitives_type := u_OR4B3 + 1; constant u_OR5: primitives_type := u_OR4B4 + 1; constant u_OR5B1: primitives_type := u_OR5 + 1; constant u_OR5B2: primitives_type := u_OR5B1 + 1; constant u_OR5B3: primitives_type := u_OR5B2 + 1; constant u_OR5B4: primitives_type := u_OR5B3 + 1; constant u_OR5B5: primitives_type := u_OR5B4 + 1; constant u_OSERDESE2: primitives_type := u_OR5B5 + 1; constant u_OUT_FIFO: primitives_type := u_OSERDESE2 + 1; constant u_PCIE_2_1: primitives_type := u_OUT_FIFO + 1; constant u_PHASER_IN: primitives_type := u_PCIE_2_1 + 1; constant u_PHASER_IN_PHY: primitives_type := u_PHASER_IN + 1; constant u_PHASER_OUT: primitives_type := u_PHASER_IN_PHY + 1; constant u_PHASER_OUT_PHY: primitives_type := u_PHASER_OUT + 1; constant u_PHASER_REF: primitives_type := u_PHASER_OUT_PHY + 1; constant u_PHY_CONTROL: primitives_type := u_PHASER_REF + 1; constant u_PLLE2_ADV: primitives_type := u_PHY_CONTROL + 1; constant u_PLLE2_BASE: primitives_type := u_PLLE2_ADV + 1; constant u_PSS: primitives_type := u_PLLE2_BASE + 1; constant u_RAMD32: primitives_type := u_PSS + 1; constant u_RAMD64E: primitives_type := u_RAMD32 + 1; constant u_RAMS32: primitives_type := u_RAMD64E + 1; constant u_RAMS64E: primitives_type := u_RAMS32 + 1; constant u_SIM_CONFIGE2: primitives_type := u_RAMS64E + 1; constant u_STARTUPE2: primitives_type := u_SIM_CONFIGE2 + 1; constant u_USR_ACCESSE2: primitives_type := u_STARTUPE2 + 1; constant u_XADC: primitives_type := u_USR_ACCESSE2 + 1; constant u_XNOR5: primitives_type := u_XADC + 1; constant u_XOR5: primitives_type := u_XNOR5 + 1; constant u_ZHOLD_DELAY: primitives_type := u_XOR5 + 1; -- Primitives added for OLYMPUS support constant u_BUFGCE_DIV : primitives_type := u_ZHOLD_DELAY +1; constant u_BUFCE_ROW : primitives_type := u_BUFGCE_DIV +1; constant u_BUFCE_LEAF : primitives_type := u_BUFCE_ROW +1; constant u_MMCME3_ADV : primitives_type := u_BUFCE_LEAF +1; constant u_MMCME3_BASE : primitives_type := u_MMCME3_ADV +1; constant u_DNA_PORTE3 : primitives_type := u_MMCME3_BASE +1; constant u_FRAME_ECCE3 : primitives_type := u_DNA_PORTE3 +1; constant u_ICAPE3 : primitives_type := u_FRAME_ECCE3 +1; constant u_JTAG_SIME3 : primitives_type := u_ICAPE3 +1; constant u_MCAP : primitives_type := u_JTAG_SIME3 +1; constant u_SIM_CONFIGE3 : primitives_type := u_MCAP +1; constant u_SYSMONE1 : primitives_type := u_SIM_CONFIGE3 +1; constant u_CARRY8 : primitives_type := u_SYSMONE1 +1; constant u_DSP48E2 : primitives_type := u_CARRY8 +1; constant u_DSP_A_B_DATA : primitives_type := u_DSP48E2 +1; constant u_DSP_ALU : primitives_type := u_DSP_A_B_DATA +1; constant u_DSP_C_DATA : primitives_type := u_DSP_ALU +1; constant u_DSP_M_DATA : primitives_type := u_DSP_C_DATA +1; constant u_DSP_MULTIPLIER : primitives_type := u_DSP_M_DATA +1; constant u_DSP_OUTPUT : primitives_type := u_DSP_MULTIPLIER +1; constant u_DSP_PREADD : primitives_type := u_DSP_OUTPUT +1; constant u_DSP_PREADD_DATA : primitives_type := u_DSP_PREADD +1; constant u_FIFO18E2 : primitives_type := u_DSP_PREADD_DATA +1; constant u_FIFO36E2 : primitives_type := u_FIFO18E2 +1; constant u_RAMB18E2 : primitives_type := u_FIFO36E2 +1; constant u_RAMB36E2 : primitives_type := u_RAMB18E2 +1; constant u_RAM256X1D : primitives_type := u_RAMB36E2 +1; constant u_RAM512X1S : primitives_type := u_RAM256X1D +1; constant u_RAM32M16 : primitives_type := u_RAM512X1S +1; constant u_RAM64M8 : primitives_type := u_RAM32M16 +1; constant u_SYNC_UNIT : primitives_type := u_RAM64M8 +1; constant u_BUFG_GT : primitives_type := u_SYNC_UNIT +1; constant u_GTHE3_CHANNEL : primitives_type := u_BUFG_GT +1; constant u_GTHE3_COMMON : primitives_type := u_GTHE3_CHANNEL +1; constant u_GTPE3_CHANNEL : primitives_type := u_GTHE3_COMMON +1; constant u_GTPE3_COMMON : primitives_type := u_GTPE3_CHANNEL +1; constant u_GTY : primitives_type := u_GTPE3_COMMON +1; constant u_GTZE2_OCTAL : primitives_type := u_GTY +1; constant u_IBUFDS_GTE3 : primitives_type := u_GTZE2_OCTAL +1; constant u_OBUFDS_GTE3 : primitives_type := u_IBUFDS_GTE3 +1; constant u_PCIE_3_1 : primitives_type := u_OBUFDS_GTE3 +1; constant u_IDELAYE3 : primitives_type := u_PCIE_3_1 +1; constant u_ISERDESE3 : primitives_type := u_IDELAYE3 +1; constant u_ODELAYE3 : primitives_type := u_ISERDESE3 +1; constant u_OSERDESE3 : primitives_type := u_ODELAYE3 +1; constant u_TXPLL : primitives_type := u_OSERDESE3 +1; constant u_BITSLICE_CONTROL : primitives_type := u_TXPLL +1; constant u_RX_BITSLICE : primitives_type := u_BITSLICE_CONTROL +1; constant u_TX_BITSLICE : primitives_type := u_RX_BITSLICE +1; constant u_IBUFCTRL : primitives_type := u_TX_BITSLICE +1; constant u_DIFFINBUF : primitives_type := u_IBUFCTRL +1; constant u_ADDMACC_MACRO : primitives_type := u_DIFFINBUF +1; constant u_ADDSUB_MACRO : primitives_type := u_ADDMACC_MACRO +1; constant u_BRAM_SDP_MACRO : primitives_type := u_ADDSUB_MACRO +1; constant u_BRAM_SINGLE_MACRO : primitives_type := u_BRAM_SDP_MACRO +1; constant u_BRAM_TDP_MACRO : primitives_type := u_BRAM_SINGLE_MACRO +1; constant u_COUNTER_LOAD_MACRO : primitives_type := u_BRAM_TDP_MACRO +1; constant u_COUNTER_TC_MACRO : primitives_type := u_COUNTER_LOAD_MACRO +1; constant u_EQ_COMPARE_MACRO : primitives_type := u_COUNTER_TC_MACRO +1; constant u_FIFO_DUALCLOCK_MACRO : primitives_type := u_EQ_COMPARE_MACRO +1; constant u_FIFO_SYNC_MACRO : primitives_type := u_FIFO_DUALCLOCK_MACRO +1; constant u_MACC_MACRO : primitives_type := u_FIFO_SYNC_MACRO +1; constant u_MULT_MACRO : primitives_type := u_MACC_MACRO +1; constant u_PLLE3_ADV : primitives_type := u_MULT_MACRO +1; constant u_PLLE3_BASE : primitives_type := u_PLLE3_ADV +1; constant u_ODDRE1 : primitives_type := u_PLLE3_BASE +1; constant u_IDDRE1 : primitives_type := u_ODDRE1 +1; type primitive_array_type is array (natural range <>) of primitives_type; ---------------------------------------------------------------------------- -- Returns true if primitive is available in family. -- -- Examples: -- -- supported(virtex2, u_RAMB16_S2) returns true because the RAMB16_S2 -- primitive is available in the -- virtex2 family. -- -- supported(spartan3, u_RAM4B_S4) returns false because the RAMB4_S4 -- primitive is not available in the -- spartan3 family. ---------------------------------------------------------------------------- function supported( family : families_type; primitive : primitives_type ) return boolean; ---------------------------------------------------------------------------- -- This is an overload of function 'supported' (see above). It allows a list -- of primitives to be tested. -- -- Returns true if all of primitives in the list are available in family. -- -- Example: supported(spartan3, (u_MUXCY, u_XORCY, u_FD)) -- is -- equivalent to: supported(spartan3, u_MUXCY) and -- supported(spartan3, u_XORCY) and -- supported(spartan3, u_FD); ---------------------------------------------------------------------------- function supported( family : families_type; primitives : primitive_array_type ) return boolean; ---------------------------------------------------------------------------- -- Below, are overloads of function 'supported' that allow the family -- parameter to be passed as a string. These correspond to the above two -- functions otherwise. ---------------------------------------------------------------------------- function supported( fam_as_str : string; primitive : primitives_type ) return boolean; function supported( fam_as_str : string; primitives : primitive_array_type ) return boolean; ---------------------------------------------------------------------------- -- Conversions from/to STRING to/from families_type. -- These are convenience functions that are not normally needed when -- using the 'supported' functions. ---------------------------------------------------------------------------- function str2fam( fam_as_string : string ) return families_type; function fam2str( fam : families_type ) return string; ---------------------------------------------------------------------------- -- Function: native_lut_size -- -- Returns the largest LUT size available in FPGA family, fam. -- If no LUT is available in fam, then returns zero by default, unless -- the call specifies a no_lut_return_val, in which case this value -- is returned. -- -- The function is available in two overload versions, one for each -- way of passing the fam argument. ---------------------------------------------------------------------------- function native_lut_size( fam : families_type; no_lut_return_val : natural := 0 ) return natural; function native_lut_size( fam_as_string : string; no_lut_return_val : natural := 0 ) return natural; ---------------------------------------------------------------------------- -- Function: equalIgnoringCase -- -- Compare one string against another for equality with case insensitivity. -- Can be used to test see if a family, C_FAMILY, is equal to some -- family. However such usage is discouraged. Use instead availability -- primitive guards based on the function, 'supported', wherever possible. ---------------------------------------------------------------------------- function equalIgnoringCase( str1, str2 : string ) return boolean; ---------------------------------------------------------------------------- -- Function: get_root_family -- -- This function takes in the string for the desired FPGA family type and -- returns the root FPGA family type. This is used for derivative part -- aliasing to the root family. ---------------------------------------------------------------------------- function get_root_family( family_in : string ) return string; end package family_support; package body family_support is type prim_status_type is ( n -- no , y -- yes , u -- unknown, not used. However, we use -- an enumeration to allow for -- possible future enhancement. ); type fam_prim_status is array (primitives_type) of prim_status_type; type fam_has_prim_type is array (families_type) of fam_prim_status; -- Performance workaround (XST procedure and function handling). -- The fam_has_prim constant is initialized by an aggregate rather than by the -- following function. A version of this file with this function not -- commented was employed in building the aggregate. So, what is below still -- defines the family-primitive matirix. --# ---------------------------------------------------------------------------- --# -- This function is used to populate the matrix of family/primitive values. --# ---------------------------------------------------------------------------- --# ---( --# function prim_population return fam_has_prim_type is --# variable pp : fam_has_prim_type := (others => (others => n)); --# --# procedure set_to( stat : prim_status_type --# ; fam : families_type --# ; prim_list : primitive_array_type --# ) is --# begin --# for i in prim_list'range loop --# pp(fam)(prim_list(i)) := stat; --# end loop; --# end set_to; --# --# begin --# set_to(y, virtex, ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_VIRTEX --# , u_BUF --# , u_BUFCF --# , u_BUFE --# , u_BUFG --# , u_BUFGDLL --# , u_BUFGP --# , u_BUFT --# , u_CAPTURE_VIRTEX --# , u_CLKDLL --# , u_CLKDLLHF --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FMAP --# , u_GND --# , u_IBUF --# , u_IBUFG --# , u_IBUFG_AGP --# , u_IBUFG_CTT --# , u_IBUFG_GTL --# , u_IBUFG_GTLP --# , u_IBUFG_HSTL_I --# , u_IBUFG_HSTL_III --# , u_IBUFG_HSTL_IV --# , u_IBUFG_LVCMOS2 --# , u_IBUFG_PCI33_3 --# , u_IBUFG_PCI33_5 --# , u_IBUFG_PCI66_3 --# , u_IBUFG_SSTL2_I --# , u_IBUFG_SSTL2_II --# , u_IBUFG_SSTL3_I --# , u_IBUFG_SSTL3_II --# , u_IBUF_AGP --# , u_IBUF_CTT --# , u_IBUF_GTL --# , u_IBUF_GTLP --# , u_IBUF_HSTL_I --# , u_IBUF_HSTL_III --# , u_IBUF_HSTL_IV --# , u_IBUF_LVCMOS2 --# , u_IBUF_PCI33_3 --# , u_IBUF_PCI33_5 --# , u_IBUF_PCI66_3 --# , u_IBUF_SSTL2_I --# , u_IBUF_SSTL2_II --# , u_IBUF_SSTL3_I --# , u_IBUF_SSTL3_II --# , u_INV --# , u_IOBUF --# , u_IOBUF_AGP --# , u_IOBUF_CTT --# , u_IOBUF_F_12 --# , u_IOBUF_F_16 --# , u_IOBUF_F_2 --# , u_IOBUF_F_24 --# , u_IOBUF_F_4 --# , u_IOBUF_F_6 --# , u_IOBUF_F_8 --# , u_IOBUF_GTL --# , u_IOBUF_GTLP --# , u_IOBUF_HSTL_I --# , u_IOBUF_HSTL_III --# , u_IOBUF_HSTL_IV --# , u_IOBUF_LVCMOS2 --# , u_IOBUF_PCI33_3 --# , u_IOBUF_PCI33_5 --# , u_IOBUF_PCI66_3 --# , u_IOBUF_SSTL2_I --# , u_IOBUF_SSTL2_II --# , u_IOBUF_SSTL3_I --# , u_IOBUF_SSTL3_II --# , u_IOBUF_S_12 --# , u_IOBUF_S_16 --# , u_IOBUF_S_2 --# , u_IOBUF_S_24 --# , u_IOBUF_S_4 --# , u_IOBUF_S_6 --# , u_IOBUF_S_8 --# , u_KEEPER --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFT --# , u_OBUFT_AGP --# , u_OBUFT_CTT --# , u_OBUFT_F_12 --# , u_OBUFT_F_16 --# , u_OBUFT_F_2 --# , u_OBUFT_F_24 --# , u_OBUFT_F_4 --# , u_OBUFT_F_6 --# , u_OBUFT_F_8 --# , u_OBUFT_GTL --# , u_OBUFT_GTLP --# , u_OBUFT_HSTL_I --# , u_OBUFT_HSTL_III --# , u_OBUFT_HSTL_IV --# , u_OBUFT_LVCMOS2 --# , u_OBUFT_PCI33_3 --# , u_OBUFT_PCI33_5 --# , u_OBUFT_PCI66_3 --# , u_OBUFT_SSTL2_I --# , u_OBUFT_SSTL2_II --# , u_OBUFT_SSTL3_I --# , u_OBUFT_SSTL3_II --# , u_OBUFT_S_12 --# , u_OBUFT_S_16 --# , u_OBUFT_S_2 --# , u_OBUFT_S_24 --# , u_OBUFT_S_4 --# , u_OBUFT_S_6 --# , u_OBUFT_S_8 --# , u_OBUF_AGP --# , u_OBUF_CTT --# , u_OBUF_F_12 --# , u_OBUF_F_16 --# , u_OBUF_F_2 --# , u_OBUF_F_24 --# , u_OBUF_F_4 --# , u_OBUF_F_6 --# , u_OBUF_F_8 --# , u_OBUF_GTL --# , u_OBUF_GTLP --# , u_OBUF_HSTL_I --# , u_OBUF_HSTL_III --# , u_OBUF_HSTL_IV --# , u_OBUF_LVCMOS2 --# , u_OBUF_PCI33_3 --# , u_OBUF_PCI33_5 --# , u_OBUF_PCI66_3 --# , u_OBUF_SSTL2_I --# , u_OBUF_SSTL2_II --# , u_OBUF_SSTL3_I --# , u_OBUF_SSTL3_II --# , u_OBUF_S_12 --# , u_OBUF_S_16 --# , u_OBUF_S_2 --# , u_OBUF_S_24 --# , u_OBUF_S_4 --# , u_OBUF_S_6 --# , u_OBUF_S_8 --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAMB4_S1 --# , u_RAMB4_S16 --# , u_RAMB4_S16_S16 --# , u_RAMB4_S1_S1 --# , u_RAMB4_S1_S16 --# , u_RAMB4_S1_S2 --# , u_RAMB4_S1_S4 --# , u_RAMB4_S1_S8 --# , u_RAMB4_S2 --# , u_RAMB4_S2_S16 --# , u_RAMB4_S2_S2 --# , u_RAMB4_S2_S4 --# , u_RAMB4_S2_S8 --# , u_RAMB4_S4 --# , u_RAMB4_S4_S16 --# , u_RAMB4_S4_S4 --# , u_RAMB4_S4_S8 --# , u_RAMB4_S8 --# , u_RAMB4_S8_S16 --# , u_RAMB4_S8_S8 --# , u_ROM16X1 --# , u_ROM32X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_STARTBUF_VIRTEX --# , u_STARTUP_VIRTEX --# , u_TOC --# , u_TOCBUF --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# set_to(y, spartan2, ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_SPARTAN2 --# , u_BUF --# , u_BUFCF --# , u_BUFE --# , u_BUFG --# , u_BUFGDLL --# , u_BUFGP --# , u_BUFT --# , u_CAPTURE_SPARTAN2 --# , u_CLKDLL --# , u_CLKDLLHF --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FMAP --# , u_GND --# , u_IBUF --# , u_IBUFG --# , u_IBUFG_AGP --# , u_IBUFG_CTT --# , u_IBUFG_GTL --# , u_IBUFG_GTLP --# , u_IBUFG_HSTL_I --# , u_IBUFG_HSTL_III --# , u_IBUFG_HSTL_IV --# , u_IBUFG_LVCMOS2 --# , u_IBUFG_PCI33_3 --# , u_IBUFG_PCI33_5 --# , u_IBUFG_PCI66_3 --# , u_IBUFG_SSTL2_I --# , u_IBUFG_SSTL2_II --# , u_IBUFG_SSTL3_I --# , u_IBUFG_SSTL3_II --# , u_IBUF_AGP --# , u_IBUF_CTT --# , u_IBUF_GTL --# , u_IBUF_GTLP --# , u_IBUF_HSTL_I --# , u_IBUF_HSTL_III --# , u_IBUF_HSTL_IV --# , u_IBUF_LVCMOS2 --# , u_IBUF_PCI33_3 --# , u_IBUF_PCI33_5 --# , u_IBUF_PCI66_3 --# , u_IBUF_SSTL2_I --# , u_IBUF_SSTL2_II --# , u_IBUF_SSTL3_I --# , u_IBUF_SSTL3_II --# , u_INV --# , u_IOBUF --# , u_IOBUF_AGP --# , u_IOBUF_CTT --# , u_IOBUF_F_12 --# , u_IOBUF_F_16 --# , u_IOBUF_F_2 --# , u_IOBUF_F_24 --# , u_IOBUF_F_4 --# , u_IOBUF_F_6 --# , u_IOBUF_F_8 --# , u_IOBUF_GTL --# , u_IOBUF_GTLP --# , u_IOBUF_HSTL_I --# , u_IOBUF_HSTL_III --# , u_IOBUF_HSTL_IV --# , u_IOBUF_LVCMOS2 --# , u_IOBUF_PCI33_3 --# , u_IOBUF_PCI33_5 --# , u_IOBUF_PCI66_3 --# , u_IOBUF_SSTL2_I --# , u_IOBUF_SSTL2_II --# , u_IOBUF_SSTL3_I --# , u_IOBUF_SSTL3_II --# , u_IOBUF_S_12 --# , u_IOBUF_S_16 --# , u_IOBUF_S_2 --# , u_IOBUF_S_24 --# , u_IOBUF_S_4 --# , u_IOBUF_S_6 --# , u_IOBUF_S_8 --# , u_KEEPER --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFT --# , u_OBUFT_AGP --# , u_OBUFT_CTT --# , u_OBUFT_F_12 --# , u_OBUFT_F_16 --# , u_OBUFT_F_2 --# , u_OBUFT_F_24 --# , u_OBUFT_F_4 --# , u_OBUFT_F_6 --# , u_OBUFT_F_8 --# , u_OBUFT_GTL --# , u_OBUFT_GTLP --# , u_OBUFT_HSTL_I --# , u_OBUFT_HSTL_III --# , u_OBUFT_HSTL_IV --# , u_OBUFT_LVCMOS2 --# , u_OBUFT_PCI33_3 --# , u_OBUFT_PCI33_5 --# , u_OBUFT_PCI66_3 --# , u_OBUFT_SSTL2_I --# , u_OBUFT_SSTL2_II --# , u_OBUFT_SSTL3_I --# , u_OBUFT_SSTL3_II --# , u_OBUFT_S_12 --# , u_OBUFT_S_16 --# , u_OBUFT_S_2 --# , u_OBUFT_S_24 --# , u_OBUFT_S_4 --# , u_OBUFT_S_6 --# , u_OBUFT_S_8 --# , u_OBUF_AGP --# , u_OBUF_CTT --# , u_OBUF_F_12 --# , u_OBUF_F_16 --# , u_OBUF_F_2 --# , u_OBUF_F_24 --# , u_OBUF_F_4 --# , u_OBUF_F_6 --# , u_OBUF_F_8 --# , u_OBUF_GTL --# , u_OBUF_GTLP --# , u_OBUF_HSTL_I --# , u_OBUF_HSTL_III --# , u_OBUF_HSTL_IV --# , u_OBUF_LVCMOS2 --# , u_OBUF_PCI33_3 --# , u_OBUF_PCI33_5 --# , u_OBUF_PCI66_3 --# , u_OBUF_SSTL2_I --# , u_OBUF_SSTL2_II --# , u_OBUF_SSTL3_I --# , u_OBUF_SSTL3_II --# , u_OBUF_S_12 --# , u_OBUF_S_16 --# , u_OBUF_S_2 --# , u_OBUF_S_24 --# , u_OBUF_S_4 --# , u_OBUF_S_6 --# , u_OBUF_S_8 --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAMB4_S1 --# , u_RAMB4_S16 --# , u_RAMB4_S16_S16 --# , u_RAMB4_S1_S1 --# , u_RAMB4_S1_S16 --# , u_RAMB4_S1_S2 --# , u_RAMB4_S1_S4 --# , u_RAMB4_S1_S8 --# , u_RAMB4_S2 --# , u_RAMB4_S2_S16 --# , u_RAMB4_S2_S2 --# , u_RAMB4_S2_S4 --# , u_RAMB4_S2_S8 --# , u_RAMB4_S4 --# , u_RAMB4_S4_S16 --# , u_RAMB4_S4_S4 --# , u_RAMB4_S4_S8 --# , u_RAMB4_S8 --# , u_RAMB4_S8_S16 --# , u_RAMB4_S8_S8 --# , u_ROM16X1 --# , u_ROM32X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_STARTBUF_SPARTAN2 --# , u_STARTUP_SPARTAN2 --# , u_TOC --# , u_TOCBUF --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# set_to(y, spartan2e, ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_SPARTAN2 --# , u_BUF --# , u_BUFCF --# , u_BUFE --# , u_BUFG --# , u_BUFGDLL --# , u_BUFGP --# , u_BUFT --# , u_CAPTURE_SPARTAN2 --# , u_CLKDLL --# , u_CLKDLLE --# , u_CLKDLLHF --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FMAP --# , u_GND --# , u_IBUF --# , u_IBUFG --# , u_IBUFG_AGP --# , u_IBUFG_CTT --# , u_IBUFG_GTL --# , u_IBUFG_GTLP --# , u_IBUFG_HSTL_I --# , u_IBUFG_HSTL_III --# , u_IBUFG_HSTL_IV --# , u_IBUFG_LVCMOS18 --# , u_IBUFG_LVCMOS2 --# , u_IBUFG_LVDS --# , u_IBUFG_LVPECL --# , u_IBUFG_PCI33_3 --# , u_IBUFG_PCI66_3 --# , u_IBUFG_PCIX66_3 --# , u_IBUFG_SSTL2_I --# , u_IBUFG_SSTL2_II --# , u_IBUFG_SSTL3_I --# , u_IBUFG_SSTL3_II --# , u_IBUF_AGP --# , u_IBUF_CTT --# , u_IBUF_GTL --# , u_IBUF_GTLP --# , u_IBUF_HSTL_I --# , u_IBUF_HSTL_III --# , u_IBUF_HSTL_IV --# , u_IBUF_LVCMOS18 --# , u_IBUF_LVCMOS2 --# , u_IBUF_LVDS --# , u_IBUF_LVPECL --# , u_IBUF_PCI33_3 --# , u_IBUF_PCI66_3 --# , u_IBUF_PCIX66_3 --# , u_IBUF_SSTL2_I --# , u_IBUF_SSTL2_II --# , u_IBUF_SSTL3_I --# , u_IBUF_SSTL3_II --# , u_INV --# , u_IOBUF --# , u_IOBUF_AGP --# , u_IOBUF_CTT --# , u_IOBUF_F_12 --# , u_IOBUF_F_16 --# , u_IOBUF_F_2 --# , u_IOBUF_F_24 --# , u_IOBUF_F_4 --# , u_IOBUF_F_6 --# , u_IOBUF_F_8 --# , u_IOBUF_GTL --# , u_IOBUF_GTLP --# , u_IOBUF_HSTL_I --# , u_IOBUF_HSTL_III --# , u_IOBUF_HSTL_IV --# , u_IOBUF_LVCMOS18 --# , u_IOBUF_LVCMOS2 --# , u_IOBUF_LVDS --# , u_IOBUF_LVPECL --# , u_IOBUF_PCI33_3 --# , u_IOBUF_PCI66_3 --# , u_IOBUF_PCIX66_3 --# , u_IOBUF_SSTL2_I --# , u_IOBUF_SSTL2_II --# , u_IOBUF_SSTL3_I --# , u_IOBUF_SSTL3_II --# , u_IOBUF_S_12 --# , u_IOBUF_S_16 --# , u_IOBUF_S_2 --# , u_IOBUF_S_24 --# , u_IOBUF_S_4 --# , u_IOBUF_S_6 --# , u_IOBUF_S_8 --# , u_KEEPER --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFT --# , u_OBUFT_AGP --# , u_OBUFT_CTT --# , u_OBUFT_F_12 --# , u_OBUFT_F_16 --# , u_OBUFT_F_2 --# , u_OBUFT_F_24 --# , u_OBUFT_F_4 --# , u_OBUFT_F_6 --# , u_OBUFT_F_8 --# , u_OBUFT_GTL --# , u_OBUFT_GTLP --# , u_OBUFT_HSTL_I --# , u_OBUFT_HSTL_III --# , u_OBUFT_HSTL_IV --# , u_OBUFT_LVCMOS18 --# , u_OBUFT_LVCMOS2 --# , u_OBUFT_LVDS --# , u_OBUFT_LVPECL --# , u_OBUFT_PCI33_3 --# , u_OBUFT_PCI66_3 --# , u_OBUFT_PCIX66_3 --# , u_OBUFT_SSTL2_I --# , u_OBUFT_SSTL2_II --# , u_OBUFT_SSTL3_I --# , u_OBUFT_SSTL3_II --# , u_OBUFT_S_12 --# , u_OBUFT_S_16 --# , u_OBUFT_S_2 --# , u_OBUFT_S_24 --# , u_OBUFT_S_4 --# , u_OBUFT_S_6 --# , u_OBUFT_S_8 --# , u_OBUF_AGP --# , u_OBUF_CTT --# , u_OBUF_F_12 --# , u_OBUF_F_16 --# , u_OBUF_F_2 --# , u_OBUF_F_24 --# , u_OBUF_F_4 --# , u_OBUF_F_6 --# , u_OBUF_F_8 --# , u_OBUF_GTL --# , u_OBUF_GTLP --# , u_OBUF_HSTL_I --# , u_OBUF_HSTL_III --# , u_OBUF_HSTL_IV --# , u_OBUF_LVCMOS18 --# , u_OBUF_LVCMOS2 --# , u_OBUF_LVDS --# , u_OBUF_LVPECL --# , u_OBUF_PCI33_3 --# , u_OBUF_PCI66_3 --# , u_OBUF_PCIX66_3 --# , u_OBUF_SSTL2_I --# , u_OBUF_SSTL2_II --# , u_OBUF_SSTL3_I --# , u_OBUF_SSTL3_II --# , u_OBUF_S_12 --# , u_OBUF_S_16 --# , u_OBUF_S_2 --# , u_OBUF_S_24 --# , u_OBUF_S_4 --# , u_OBUF_S_6 --# , u_OBUF_S_8 --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAMB4_S1 --# , u_RAMB4_S16 --# , u_RAMB4_S16_S16 --# , u_RAMB4_S1_S1 --# , u_RAMB4_S1_S16 --# , u_RAMB4_S1_S2 --# , u_RAMB4_S1_S4 --# , u_RAMB4_S1_S8 --# , u_RAMB4_S2 --# , u_RAMB4_S2_S16 --# , u_RAMB4_S2_S2 --# , u_RAMB4_S2_S4 --# , u_RAMB4_S2_S8 --# , u_RAMB4_S4 --# , u_RAMB4_S4_S16 --# , u_RAMB4_S4_S4 --# , u_RAMB4_S4_S8 --# , u_RAMB4_S8 --# , u_RAMB4_S8_S16 --# , u_RAMB4_S8_S8 --# , u_ROM16X1 --# , u_ROM32X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_STARTBUF_SPARTAN2 --# , u_STARTUP_SPARTAN2 --# , u_TOC --# , u_TOCBUF --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# set_to(y, virtexe, ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_VIRTEX --# , u_BUF --# , u_BUFCF --# , u_BUFE --# , u_BUFG --# , u_BUFGDLL --# , u_BUFGP --# , u_BUFT --# , u_CAPTURE_VIRTEX --# , u_CLKDLL --# , u_CLKDLLE --# , u_CLKDLLHF --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FMAP --# , u_GND --# , u_IBUF --# , u_IBUFG --# , u_INV --# , u_IOBUF --# , u_KEEPER --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFT --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAMB4_S1 --# , u_RAMB4_S16 --# , u_RAMB4_S16_S16 --# , u_RAMB4_S1_S1 --# , u_RAMB4_S1_S16 --# , u_RAMB4_S1_S2 --# , u_RAMB4_S1_S4 --# , u_RAMB4_S1_S8 --# , u_RAMB4_S2 --# , u_RAMB4_S2_S16 --# , u_RAMB4_S2_S2 --# , u_RAMB4_S2_S4 --# , u_RAMB4_S2_S8 --# , u_RAMB4_S4 --# , u_RAMB4_S4_S16 --# , u_RAMB4_S4_S4 --# , u_RAMB4_S4_S8 --# , u_RAMB4_S8 --# , u_RAMB4_S8_S16 --# , u_RAMB4_S8_S8 --# , u_ROM16X1 --# , u_ROM32X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_STARTBUF_VIRTEX --# , u_STARTUP_VIRTEX --# , u_TOC --# , u_TOCBUF --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# -- --# set_to(y, virtex2, ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_VIRTEX2 --# , u_BUF --# , u_BUFCF --# , u_BUFE --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGDLL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGP --# , u_BUFT --# , u_CAPTURE_VIRTEX2 --# , u_CLKDLL --# , u_CLKDLLE --# , u_CLKDLLHF --# , u_DCM --# , u_DUMMY_INV --# , u_DUMMY_NOR2 --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDDRCPE --# , u_FDDRRSE --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FMAP --# , u_GND --# , u_IBUF --# , u_IBUFDS --# , u_IBUFDS_DIFF_OUT --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_DIFF_OUT --# , u_ICAP_VIRTEX2 --# , u_IFDDRCPE --# , u_IFDDRRSE --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_KEEPER --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_MULT18X18 --# , u_MULT18X18S --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFT --# , u_OBUFTDS --# , u_OFDDRCPE --# , u_OFDDRRSE --# , u_OFDDRTCPE --# , u_OFDDRTRSE --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_ORCY --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM128X1S --# , u_RAM128X1S_1 --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM16X8S --# , u_RAM32X1D --# , u_RAM32X1D_1 --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM32X4S --# , u_RAM32X8S --# , u_RAM64X1D --# , u_RAM64X1D_1 --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAM64X2S --# , u_RAMB16_S1 --# , u_RAMB16_S18 --# , u_RAMB16_S18_S18 --# , u_RAMB16_S18_S36 --# , u_RAMB16_S1_S1 --# , u_RAMB16_S1_S18 --# , u_RAMB16_S1_S2 --# , u_RAMB16_S1_S36 --# , u_RAMB16_S1_S4 --# , u_RAMB16_S1_S9 --# , u_RAMB16_S2 --# , u_RAMB16_S2_S18 --# , u_RAMB16_S2_S2 --# , u_RAMB16_S2_S36 --# , u_RAMB16_S2_S4 --# , u_RAMB16_S2_S9 --# , u_RAMB16_S36 --# , u_RAMB16_S36_S36 --# , u_RAMB16_S4 --# , u_RAMB16_S4_S18 --# , u_RAMB16_S4_S36 --# , u_RAMB16_S4_S4 --# , u_RAMB16_S4_S9 --# , u_RAMB16_S9 --# , u_RAMB16_S9_S18 --# , u_RAMB16_S9_S36 --# , u_RAMB16_S9_S9 --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_SRLC16 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC16_1 --# , u_STARTBUF_VIRTEX2 --# , u_STARTUP_VIRTEX2 --# , u_TOC --# , u_TOCBUF --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# -- --# pp(qvirtex2) := pp(virtex2); --# -- --# pp(qrvirtex2) := pp(virtex2); --# -- --# set_to(y, virtex2p, --# ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_VIRTEX2 --# , u_BUF --# , u_BUFCF --# , u_BUFE --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGDLL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGP --# , u_BUFT --# , u_CAPTURE_VIRTEX2 --# , u_CLKDLL --# , u_CLKDLLE --# , u_CLKDLLHF --# , u_DCM --# , u_DUMMY_INV --# , u_DUMMY_NOR2 --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDDRCPE --# , u_FDDRRSE --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FMAP --# , u_GND --# , u_GT10_10GE_4 --# , u_GT10_10GE_8 --# , u_GT10_10GFC_4 --# , u_GT10_10GFC_8 --# , u_GT10_AURORAX_4 --# , u_GT10_AURORAX_8 --# , u_GT10_AURORA_1 --# , u_GT10_AURORA_2 --# , u_GT10_AURORA_4 --# , u_GT10_CUSTOM --# , u_GT10_INFINIBAND_1 --# , u_GT10_INFINIBAND_2 --# , u_GT10_INFINIBAND_4 --# , u_GT10_OC192_4 --# , u_GT10_OC192_8 --# , u_GT10_OC48_1 --# , u_GT10_OC48_2 --# , u_GT10_OC48_4 --# , u_GT10_PCI_EXPRESS_1 --# , u_GT10_PCI_EXPRESS_2 --# , u_GT10_PCI_EXPRESS_4 --# , u_GT10_XAUI_1 --# , u_GT10_XAUI_2 --# , u_GT10_XAUI_4 --# , u_GT_AURORA_1 --# , u_GT_AURORA_2 --# , u_GT_AURORA_4 --# , u_GT_CUSTOM --# , u_GT_ETHERNET_1 --# , u_GT_ETHERNET_2 --# , u_GT_ETHERNET_4 --# , u_GT_FIBRE_CHAN_1 --# , u_GT_FIBRE_CHAN_2 --# , u_GT_FIBRE_CHAN_4 --# , u_GT_INFINIBAND_1 --# , u_GT_INFINIBAND_2 --# , u_GT_INFINIBAND_4 --# , u_GT_XAUI_1 --# , u_GT_XAUI_2 --# , u_GT_XAUI_4 --# , u_IBUF --# , u_IBUFDS --# , u_IBUFDS_DIFF_OUT --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_DIFF_OUT --# , u_ICAP_VIRTEX2 --# , u_IFDDRCPE --# , u_IFDDRRSE --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_JTAGPPC --# , u_KEEPER --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_MULT18X18 --# , u_MULT18X18S --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFT --# , u_OBUFTDS --# , u_OFDDRCPE --# , u_OFDDRRSE --# , u_OFDDRTCPE --# , u_OFDDRTRSE --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_ORCY --# , u_PPC405 --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM128X1S --# , u_RAM128X1S_1 --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM16X8S --# , u_RAM32X1D --# , u_RAM32X1D_1 --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM32X4S --# , u_RAM32X8S --# , u_RAM64X1D --# , u_RAM64X1D_1 --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAM64X2S --# , u_RAMB16_S1 --# , u_RAMB16_S18 --# , u_RAMB16_S18_S18 --# , u_RAMB16_S18_S36 --# , u_RAMB16_S1_S1 --# , u_RAMB16_S1_S18 --# , u_RAMB16_S1_S2 --# , u_RAMB16_S1_S36 --# , u_RAMB16_S1_S4 --# , u_RAMB16_S1_S9 --# , u_RAMB16_S2 --# , u_RAMB16_S2_S18 --# , u_RAMB16_S2_S2 --# , u_RAMB16_S2_S36 --# , u_RAMB16_S2_S4 --# , u_RAMB16_S2_S9 --# , u_RAMB16_S36 --# , u_RAMB16_S36_S36 --# , u_RAMB16_S4 --# , u_RAMB16_S4_S18 --# , u_RAMB16_S4_S36 --# , u_RAMB16_S4_S4 --# , u_RAMB16_S4_S9 --# , u_RAMB16_S9 --# , u_RAMB16_S9_S18 --# , u_RAMB16_S9_S36 --# , u_RAMB16_S9_S9 --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_SRLC16 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC16_1 --# , u_STARTBUF_VIRTEX2 --# , u_STARTUP_VIRTEX2 --# , u_TOC --# , u_TOCBUF --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# -- --# set_to(y, spartan3, --# ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_SPARTAN3 --# , u_BUF --# , u_BUFCF --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGDLL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGP --# , u_CAPTURE_SPARTAN3 --# , u_DCM --# , u_DUMMY_INV --# , u_DUMMY_NOR2 --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDDRCPE --# , u_FDDRRSE --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FMAP --# , u_GND --# , u_IBUF --# , u_IBUFDS --# , u_IBUFDS_DIFF_OUT --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_DIFF_OUT --# , u_IFDDRCPE --# , u_IFDDRRSE --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_KEEPER --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_MULT18X18 --# , u_MULT18X18S --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFT --# , u_OBUFTDS --# , u_OFDDRCPE --# , u_OFDDRRSE --# , u_OFDDRTCPE --# , u_OFDDRTRSE --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_ORCY --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAMB16_S1 --# , u_RAMB16_S18 --# , u_RAMB16_S18_S18 --# , u_RAMB16_S18_S36 --# , u_RAMB16_S1_S1 --# , u_RAMB16_S1_S18 --# , u_RAMB16_S1_S2 --# , u_RAMB16_S1_S36 --# , u_RAMB16_S1_S4 --# , u_RAMB16_S1_S9 --# , u_RAMB16_S2 --# , u_RAMB16_S2_S18 --# , u_RAMB16_S2_S2 --# , u_RAMB16_S2_S36 --# , u_RAMB16_S2_S4 --# , u_RAMB16_S2_S9 --# , u_RAMB16_S36 --# , u_RAMB16_S36_S36 --# , u_RAMB16_S4 --# , u_RAMB16_S4_S18 --# , u_RAMB16_S4_S36 --# , u_RAMB16_S4_S4 --# , u_RAMB16_S4_S9 --# , u_RAMB16_S9 --# , u_RAMB16_S9_S18 --# , u_RAMB16_S9_S36 --# , u_RAMB16_S9_S9 --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_SRLC16 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC16_1 --# , u_STARTBUF_SPARTAN3 --# , u_STARTUP_SPARTAN3 --# , u_TOC --# , u_TOCBUF --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# -- --# pp(aspartan3) := pp(spartan3); --# -- --# set_to(y, spartan3e, --# ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_SPARTAN3 --# , u_BUF --# , u_BUFCF --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGDLL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGP --# , u_CAPTURE_SPARTAN3E --# , u_DCM --# , u_DUMMY_INV --# , u_DUMMY_NOR2 --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDDRCPE --# , u_FDDRRSE --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FMAP --# , u_GND --# , u_IBUF --# , u_IBUFDS --# , u_IBUFDS_DIFF_OUT --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_DIFF_OUT --# , u_IDDR2 --# , u_IFDDRCPE --# , u_IFDDRRSE --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_KEEPER --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_MULT18X18 --# , u_MULT18X18S --# , u_MULT18X18SIO --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFT --# , u_OBUFTDS --# , u_ODDR2 --# , u_OFDDRCPE --# , u_OFDDRRSE --# , u_OFDDRTCPE --# , u_OFDDRTRSE --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_ORCY --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAMB16_S1 --# , u_RAMB16_S18 --# , u_RAMB16_S18_S18 --# , u_RAMB16_S18_S36 --# , u_RAMB16_S1_S1 --# , u_RAMB16_S1_S18 --# , u_RAMB16_S1_S2 --# , u_RAMB16_S1_S36 --# , u_RAMB16_S1_S4 --# , u_RAMB16_S1_S9 --# , u_RAMB16_S2 --# , u_RAMB16_S2_S18 --# , u_RAMB16_S2_S2 --# , u_RAMB16_S2_S36 --# , u_RAMB16_S2_S4 --# , u_RAMB16_S2_S9 --# , u_RAMB16_S36 --# , u_RAMB16_S36_S36 --# , u_RAMB16_S4 --# , u_RAMB16_S4_S18 --# , u_RAMB16_S4_S36 --# , u_RAMB16_S4_S4 --# , u_RAMB16_S4_S9 --# , u_RAMB16_S9 --# , u_RAMB16_S9_S18 --# , u_RAMB16_S9_S36 --# , u_RAMB16_S9_S9 --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_SRLC16 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC16_1 --# , u_STARTBUF_SPARTAN3E --# , u_STARTUP_SPARTAN3E --# , u_TOC --# , u_TOCBUF --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# -- --# pp(aspartan3e) := pp(spartan3e); --# -- --# set_to(y, virtex4fx, --# ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_VIRTEX4 --# , u_BUF --# , u_BUFCF --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGCTRL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGMUX_VIRTEX4 --# , u_BUFGP --# , u_BUFGP --# , u_BUFIO --# , u_BUFR --# , u_CAPTURE_VIRTEX4 --# , u_DCIRESET --# , u_DCM --# , u_DCM_ADV --# , u_DCM_BASE --# , u_DCM_PS --# , u_DSP48 --# , u_EMAC --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FIFO16 --# , u_FMAP --# , u_FRAME_ECC_VIRTEX4 --# , u_GND --# , u_GT11CLK --# , u_GT11CLK_MGT --# , u_GT11_CUSTOM --# , u_IBUF --# , u_IBUFDS --# , u_IBUFDS_DIFF_OUT --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_DIFF_OUT --# , u_ICAP_VIRTEX4 --# , u_IDDR --# , u_IDELAY --# , u_IDELAYCTRL --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_ISERDES --# , u_JTAGPPC --# , u_KEEPER --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_MULT18X18 --# , u_MULT18X18S --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFT --# , u_OBUFTDS --# , u_ODDR --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_OSERDES --# , u_PMCD --# , u_PPC405 --# , u_PPC405_ADV --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM16X8S --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM32X4S --# , u_RAM32X8S --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAM64X2S --# , u_RAMB16 --# , u_RAMB16_S1 --# , u_RAMB16_S18 --# , u_RAMB16_S18_S18 --# , u_RAMB16_S18_S36 --# , u_RAMB16_S1_S1 --# , u_RAMB16_S1_S18 --# , u_RAMB16_S1_S2 --# , u_RAMB16_S1_S36 --# , u_RAMB16_S1_S4 --# , u_RAMB16_S1_S9 --# , u_RAMB16_S2 --# , u_RAMB16_S2_S18 --# , u_RAMB16_S2_S2 --# , u_RAMB16_S2_S36 --# , u_RAMB16_S2_S4 --# , u_RAMB16_S2_S9 --# , u_RAMB16_S36 --# , u_RAMB16_S36_S36 --# , u_RAMB16_S4 --# , u_RAMB16_S4_S18 --# , u_RAMB16_S4_S36 --# , u_RAMB16_S4_S4 --# , u_RAMB16_S4_S9 --# , u_RAMB16_S9 --# , u_RAMB16_S9_S18 --# , u_RAMB16_S9_S36 --# , u_RAMB16_S9_S9 --# , u_RAMB32_S64_ECC --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_SRLC16 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC16_1 --# , u_STARTBUF_VIRTEX4 --# , u_STARTUP_VIRTEX4 --# , u_TOC --# , u_TOCBUF --# , u_USR_ACCESS_VIRTEX4 --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# -- --# pp(virtex4sx) := pp(virtex4fx); --# -- --# pp(virtex4lx) := pp(virtex4fx); --# set_to(n, virtex4lx, (u_EMAC, --# u_GT11CLK, u_GT11CLK_MGT, u_GT11_CUSTOM, --# u_JTAGPPC, u_PPC405, u_PPC405_ADV --# ) ); --# -- --# pp(virtex4) := pp(virtex4lx); -- virtex4 is defined as the largest set --# -- of primitives that EVERY virtex4 --# -- device supports, i.e.. a design that uses --# -- the virtex4 subset of primitives --# -- is compatible with any variant of --# -- the virtex4 family. --# -- --# pp(qvirtex4) := pp(virtex4); --# -- --# pp(qrvirtex4) := pp(virtex4); --# -- --# set_to(y, virtex5, --# ( --# u_AND2 --# , u_AND3 --# , u_AND4 --# , u_BSCAN_VIRTEX5 --# , u_BUF --# , u_BUFCF --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGCTRL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGMUX_CTRL --# , u_BUFGP --# , u_BUFIO --# , u_BUFR --# , u_CAPTURE_VIRTEX5 --# , u_CARRY4 --# , u_CFGLUT5 --# , u_CRC32 --# , u_CRC64 --# , u_DCIRESET --# , u_DCM --# , u_DCM_ADV --# , u_DCM_BASE --# , u_DCM_PS --# , u_DSP48 --# , u_DSP48E --# , u_EMAC --# , u_FD --# , u_FDC --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDCP_1 --# , u_FDC_1 --# , u_FDDRCPE --# , u_FDDRRSE --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDPE --# , u_FDPE_1 --# , u_FDP_1 --# , u_FDR --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDRS_1 --# , u_FDR_1 --# , u_FDS --# , u_FDSE --# , u_FDSE_1 --# , u_FDS_1 --# , u_FD_1 --# , u_FIFO16 --# , u_FIFO18 --# , u_FIFO18_36 --# , u_FIFO36 --# , u_FIFO36_72 --# , u_FMAP --# , u_FRAME_ECC_VIRTEX5 --# , u_GND --# , u_GT11CLK --# , u_GT11CLK_MGT --# , u_GT11_CUSTOM --# , u_IBUF --# , u_IBUFDS --# , u_IBUFDS_DIFF_OUT --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_DIFF_OUT --# , u_ICAP_VIRTEX5 --# , u_IDDR --# , u_IDDR_2CLK --# , u_IDELAY --# , u_IDELAYCTRL --# , u_IFDDRCPE --# , u_IFDDRRSE --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_IODELAY --# , u_ISERDES --# , u_ISERDES_NODELAY --# , u_KEEPER --# , u_KEY_CLEAR --# , u_LD --# , u_LDC --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDCP_1 --# , u_LDC_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDPE --# , u_LDPE_1 --# , u_LDP_1 --# , u_LD_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_LUT5 --# , u_LUT5_D --# , u_LUT5_L --# , u_LUT6 --# , u_LUT6_D --# , u_LUT6_L --# , u_MULT18X18 --# , u_MULT18X18S --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFT --# , u_OBUFTDS --# , u_ODDR --# , u_OFDDRCPE --# , u_OFDDRRSE --# , u_OFDDRTCPE --# , u_OFDDRTRSE --# , u_OR2 --# , u_OR3 --# , u_OR4 --# , u_OSERDES --# , u_PLL_ADV --# , u_PLL_BASE --# , u_PMCD --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM128X1D --# , u_RAM128X1S --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM16X8S --# , u_RAM256X1S --# , u_RAM32M --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM32X4S --# , u_RAM32X8S --# , u_RAM64M --# , u_RAM64X1D --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAM64X2S --# , u_RAMB16 --# , u_RAMB16_S1 --# , u_RAMB16_S18 --# , u_RAMB16_S18_S18 --# , u_RAMB16_S18_S36 --# , u_RAMB16_S1_S1 --# , u_RAMB16_S1_S18 --# , u_RAMB16_S1_S2 --# , u_RAMB16_S1_S36 --# , u_RAMB16_S1_S4 --# , u_RAMB16_S1_S9 --# , u_RAMB16_S2 --# , u_RAMB16_S2_S18 --# , u_RAMB16_S2_S2 --# , u_RAMB16_S2_S36 --# , u_RAMB16_S2_S4 --# , u_RAMB16_S2_S9 --# , u_RAMB16_S36 --# , u_RAMB16_S36_S36 --# , u_RAMB16_S4 --# , u_RAMB16_S4_S18 --# , u_RAMB16_S4_S36 --# , u_RAMB16_S4_S4 --# , u_RAMB16_S4_S9 --# , u_RAMB16_S9 --# , u_RAMB16_S9_S18 --# , u_RAMB16_S9_S36 --# , u_RAMB16_S9_S9 --# , u_RAMB18 --# , u_RAMB18SDP --# , u_RAMB32_S64_ECC --# , u_RAMB36 --# , u_RAMB36SDP --# , u_RAMB36SDP_EXP --# , u_RAMB36_EXP --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SRL16 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRL16_1 --# , u_SRLC16 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC16_1 --# , u_SRLC32E --# , u_STARTUP_VIRTEX5 --# , u_SYSMON --# , u_TOC --# , u_TOCBUF --# , u_USR_ACCESS_VIRTEX5 --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) --# ); --# -- --# pp(spartan3a) := pp(spartan3e); -- Populate spartan3a by taking --# -- differences from spartan3e. --# set_to(n, spartan3a, ( --# u_BSCAN_SPARTAN3 --# , u_CAPTURE_SPARTAN3E --# , u_DUMMY_INV --# , u_DUMMY_NOR2 --# , u_STARTBUF_SPARTAN3E --# , u_STARTUP_SPARTAN3E --# ) ); --# set_to(y, spartan3a, ( --# u_BSCAN_SPARTAN3A --# , u_CAPTURE_SPARTAN3A --# , u_DCM_PS --# , u_DNA_PORT --# , u_IBUF_DLY_ADJ --# , u_IBUFDS_DLY_ADJ --# , u_ICAP_SPARTAN3A --# , u_RAMB16BWE --# , u_RAMB16BWE_S18 --# , u_RAMB16BWE_S18_S18 --# , u_RAMB16BWE_S18_S9 --# , u_RAMB16BWE_S36 --# , u_RAMB16BWE_S36_S18 --# , u_RAMB16BWE_S36_S36 --# , u_RAMB16BWE_S36_S9 --# , u_SPI_ACCESS --# , u_STARTUP_SPARTAN3A --# ) ); --# --# -- --# pp(aspartan3a) := pp(spartan3a); --# -- --# pp(spartan3an) := pp(spartan3a); --# -- --# pp(spartan3adsp) := pp(spartan3a); --# set_to(y, spartan3adsp, ( --# u_DSP48A --# , u_RAMB16BWER --# ) ); --# -- --# pp(aspartan3adsp) := pp(spartan3adsp); --# -- --# set_to(y, spartan6, ( --# u_AND2 --# , u_AND2B1L --# , u_AND3 --# , u_AND4 --# , u_AUTOBUF --# , u_BSCAN_SPARTAN6 --# , u_BUF --# , u_BUFCF --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGDLL --# , u_BUFGMUX --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGMUX_1 --# , u_BUFGP --# , u_BUFH --# , u_BUFIO2 --# , u_BUFIO2_2CLK --# , u_BUFIO2FB --# , u_BUFIO2FB_2CLK --# , u_BUFPLL --# , u_BUFPLL_MCB --# , u_CAPTURE_SPARTAN3A --# , u_DCM --# , u_DCM_CLKGEN --# , u_DCM_PS --# , u_DNA_PORT --# , u_DSP48A1 --# , u_FD --# , u_FD_1 --# , u_FDC --# , u_FDC_1 --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCP_1 --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDDRCPE --# , u_FDDRRSE --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDP_1 --# , u_FDPE --# , u_FDPE_1 --# , u_FDR --# , u_FDR_1 --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRS_1 --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDS --# , u_FDS_1 --# , u_FDSE --# , u_FDSE_1 --# , u_FMAP --# , u_GND --# , u_GTPA1_DUAL --# , u_IBUF --# , u_IBUF_DLY_ADJ --# , u_IBUFDS --# , u_IBUFDS_DIFF_OUT --# , u_IBUFDS_DLY_ADJ --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_DIFF_OUT --# , u_ICAP_SPARTAN3A --# , u_ICAP_SPARTAN6 --# , u_IDDR2 --# , u_IFDDRCPE --# , u_IFDDRRSE --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_IODELAY2 --# , u_IODRP2 --# , u_IODRP2_MCB --# , u_ISERDES2 --# , u_JTAG_SIM_SPARTAN6 --# , u_KEEPER --# , u_LD --# , u_LD_1 --# , u_LDC --# , u_LDC_1 --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCP_1 --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDP_1 --# , u_LDPE --# , u_LDPE_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_LUT5 --# , u_LUT5_D --# , u_LUT5_L --# , u_LUT6 --# , u_LUT6_D --# , u_LUT6_L --# , u_MCB --# , u_MULT18X18 --# , u_MULT18X18S --# , u_MULT18X18SIO --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFT --# , u_OBUFTDS --# , u_OCT_CALIBRATE --# , u_ODDR2 --# , u_OFDDRCPE --# , u_OFDDRRSE --# , u_OFDDRTCPE --# , u_OFDDRTRSE --# , u_OR2 --# , u_OR2L --# , u_OR3 --# , u_OR4 --# , u_ORCY --# , u_OSERDES2 --# , u_PCIE_A1 --# , u_PLL_ADV --# , u_POST_CRC_INTERNAL --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAMB16BWE --# , u_RAMB16BWE_S18 --# , u_RAMB16BWE_S18_S18 --# , u_RAMB16BWE_S18_S9 --# , u_RAMB16BWE_S36 --# , u_RAMB16BWE_S36_S18 --# , u_RAMB16BWE_S36_S36 --# , u_RAMB16BWE_S36_S9 --# , u_RAMB16_S1 --# , u_RAMB16_S18 --# , u_RAMB16_S18_S18 --# , u_RAMB16_S18_S36 --# , u_RAMB16_S1_S1 --# , u_RAMB16_S1_S18 --# , u_RAMB16_S1_S2 --# , u_RAMB16_S1_S36 --# , u_RAMB16_S1_S4 --# , u_RAMB16_S1_S9 --# , u_RAMB16_S2 --# , u_RAMB16_S2_S18 --# , u_RAMB16_S2_S2 --# , u_RAMB16_S2_S36 --# , u_RAMB16_S2_S4 --# , u_RAMB16_S2_S9 --# , u_RAMB16_S36 --# , u_RAMB16_S36_S36 --# , u_RAMB16_S4 --# , u_RAMB16_S4_S18 --# , u_RAMB16_S4_S36 --# , u_RAMB16_S4_S4 --# , u_RAMB16_S4_S9 --# , u_RAMB16_S9 --# , u_RAMB16_S9_S18 --# , u_RAMB16_S9_S36 --# , u_RAMB16_S9_S9 --# , u_RAMB8BWER --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SLAVE_SPI --# , u_SPI_ACCESS --# , u_SRL16 --# , u_SRL16_1 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRLC16 --# , u_SRLC16_1 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC32E --# , u_STARTUP_SPARTAN3A --# , u_STARTUP_SPARTAN6 --# , u_SUSPEND_SYNC --# , u_TOC --# , u_TOCBUF --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) ); --# -- --# -- --# set_to(y, virtex6, ( --# u_AND2 --# , u_AND2B1L --# , u_AND3 --# , u_AND4 --# , u_AUTOBUF --# , u_BSCAN_VIRTEX6 --# , u_BUF --# , u_BUFCF --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGCTRL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGMUX_CTRL --# , u_BUFGP --# , u_BUFH --# , u_BUFHCE --# , u_BUFIO --# , u_BUFIODQS --# , u_BUFR --# , u_CAPTURE_VIRTEX5 --# , u_CAPTURE_VIRTEX6 --# , u_CARRY4 --# , u_CFGLUT5 --# , u_CRC32 --# , u_CRC64 --# , u_DCIRESET --# , u_DCIRESET --# , u_DCM --# , u_DCM_ADV --# , u_DCM_BASE --# , u_DCM_PS --# , u_DSP48 --# , u_DSP48E --# , u_DSP48E1 --# , u_EFUSE_USR --# , u_EMAC --# , u_FD --# , u_FD_1 --# , u_FDC --# , u_FDC_1 --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCP_1 --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDDRCPE --# , u_FDDRRSE --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDP_1 --# , u_FDPE --# , u_FDPE_1 --# , u_FDR --# , u_FDR_1 --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRS_1 --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDS --# , u_FDS_1 --# , u_FDSE --# , u_FDSE_1 --# , u_FIFO16 --# , u_FIFO18 --# , u_FIFO18_36 --# , u_FIFO18E1 --# , u_FIFO36 --# , u_FIFO36_72 --# , u_FIFO36E1 --# , u_FMAP --# , u_FRAME_ECC_VIRTEX5 --# , u_FRAME_ECC_VIRTEX6 --# , u_GND --# , u_GT11CLK --# , u_GT11CLK_MGT --# , u_GT11_CUSTOM --# , u_GTXE1 --# , u_IBUF --# , u_IBUF --# , u_IBUFDS --# , u_IBUFDS --# , u_IBUFDS_DIFF_OUT --# , u_IBUFDS_GTXE1 --# , u_IBUFG --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS --# , u_IBUFGDS_DIFF_OUT --# , u_ICAP_VIRTEX5 --# , u_ICAP_VIRTEX6 --# , u_IDDR --# , u_IDDR_2CLK --# , u_IDELAY --# , u_IDELAYCTRL --# , u_IFDDRCPE --# , u_IFDDRRSE --# , u_INV --# , u_IOBUF --# , u_IOBUF --# , u_IOBUFDS --# , u_IOBUFDS --# , u_IOBUFDS_DIFF_OUT --# , u_IODELAY --# , u_IODELAYE1 --# , u_ISERDES --# , u_ISERDESE1 --# , u_ISERDES_NODELAY --# , u_JTAG_SIM_VIRTEX6 --# , u_KEEPER --# , u_KEY_CLEAR --# , u_LD --# , u_LD_1 --# , u_LDC --# , u_LDC_1 --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCP_1 --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDP_1 --# , u_LDPE --# , u_LDPE_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_LUT5 --# , u_LUT5_D --# , u_LUT5_L --# , u_LUT6 --# , u_LUT6_D --# , u_LUT6_L --# , u_MMCM_ADV --# , u_MMCM_BASE --# , u_MULT18X18 --# , u_MULT18X18S --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND3 --# , u_NAND4 --# , u_NOR2 --# , u_NOR3 --# , u_NOR4 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFT --# , u_OBUFTDS --# , u_ODDR --# , u_OFDDRCPE --# , u_OFDDRRSE --# , u_OFDDRTCPE --# , u_OFDDRTRSE --# , u_OR2 --# , u_OR2L --# , u_OR3 --# , u_OR4 --# , u_OSERDES --# , u_OSERDESE1 --# , u_PCIE_2_0 --# , u_PLL_ADV --# , u_PLL_BASE --# , u_PMCD --# , u_PPR_FRAME --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM128X1D --# , u_RAM128X1S --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM16X8S --# , u_RAM256X1S --# , u_RAM32M --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM32X4S --# , u_RAM32X8S --# , u_RAM64M --# , u_RAM64X1D --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAM64X2S --# , u_RAMB16 --# , u_RAMB16_S1 --# , u_RAMB16_S18 --# , u_RAMB16_S18_S18 --# , u_RAMB16_S18_S36 --# , u_RAMB16_S1_S1 --# , u_RAMB16_S1_S18 --# , u_RAMB16_S1_S2 --# , u_RAMB16_S1_S36 --# , u_RAMB16_S1_S4 --# , u_RAMB16_S1_S9 --# , u_RAMB16_S2 --# , u_RAMB16_S2_S18 --# , u_RAMB16_S2_S2 --# , u_RAMB16_S2_S36 --# , u_RAMB16_S2_S4 --# , u_RAMB16_S2_S9 --# , u_RAMB16_S36 --# , u_RAMB16_S36_S36 --# , u_RAMB16_S4 --# , u_RAMB16_S4_S18 --# , u_RAMB16_S4_S36 --# , u_RAMB16_S4_S4 --# , u_RAMB16_S4_S9 --# , u_RAMB16_S9 --# , u_RAMB16_S9_S18 --# , u_RAMB16_S9_S36 --# , u_RAMB16_S9_S9 --# , u_RAMB18 --# , u_RAMB18E1 --# , u_RAMB18SDP --# , u_RAMB32_S64_ECC --# , u_RAMB36 --# , u_RAMB36E1 --# , u_RAMB36_EXP --# , u_RAMB36SDP --# , u_RAMB36SDP_EXP --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SRL16 --# , u_SRL16_1 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRLC16 --# , u_SRLC16_1 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC32E --# , u_STARTUP_VIRTEX5 --# , u_STARTUP_VIRTEX6 --# , u_SYSMON --# , u_SYSMON --# , u_TEMAC_SINGLE --# , u_TOC --# , u_TOCBUF --# , u_USR_ACCESS_VIRTEX5 --# , u_USR_ACCESS_VIRTEX6 --# , u_VCC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# ) ); --# -- --# pp(spartan6l) := pp(spartan6); --# -- --# pp(qspartan6) := pp(spartan6); --# -- --# pp(aspartan6) := pp(spartan6); --# -- --# pp(virtex6l) := pp(virtex6); --# -- --# pp(qspartan6l) := pp(spartan6); --# -- --# pp(qvirtex5) := pp(virtex5); --# -- --# pp(qvirtex6) := pp(virtex6); --# -- --# pp(qrvirtex5) := pp(virtex5); --# -- --# pp(virtex5tx) := pp(virtex5); --# -- --# pp(virtex5fx) := pp(virtex5); --# -- --# pp(virtex6cx) := pp(virtex6); --# -- --# set_to(y, kintex7, ( --# u_AND2 --# , u_AND2B1 --# , u_AND2B1L --# , u_AND2B2 --# , u_AND3 --# , u_AND3B1 --# , u_AND3B2 --# , u_AND3B3 --# , u_AND4 --# , u_AND4B1 --# , u_AND4B2 --# , u_AND4B3 --# , u_AND4B4 --# , u_AND5 --# , u_AND5B1 --# , u_AND5B2 --# , u_AND5B3 --# , u_AND5B4 --# , u_AND5B5 --# , u_AUTOBUF --# , u_BSCANE2 --# , u_BUF --# , u_BUFCF --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGCTRL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGP --# , u_BUFH --# , u_BUFHCE --# , u_BUFIO --# , u_BUFMR --# , u_BUFMRCE --# , u_BUFR --# , u_BUFT --# , u_CAPTUREE2 --# , u_CARRY4 --# , u_CFGLUT5 --# , u_DCIRESET --# , u_DNA_PORT --# , u_DSP48E1 --# , u_EFUSE_USR --# , u_FD --# , u_FD_1 --# , u_FDC --# , u_FDC_1 --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCP_1 --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDP_1 --# , u_FDPE --# , u_FDPE_1 --# , u_FDR --# , u_FDR_1 --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRS_1 --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDS --# , u_FDS_1 --# , u_FDSE --# , u_FDSE_1 --# , u_FIFO18E1 --# , u_FIFO36E1 --# , u_FMAP --# , u_FRAME_ECCE2 --# , u_GND --# , u_GTXE2_CHANNEL --# , u_GTXE2_COMMON --# , u_IBUF --# , u_IBUF_DCIEN --# , u_IBUFDS --# , u_IBUFDS_BLVDS_25 --# , u_IBUFDS_DCIEN --# , u_IBUFDS_DIFF_OUT --# , u_IBUFDS_DIFF_OUT_DCIEN --# , u_IBUFDS_GTE2 --# , u_IBUFDS_LVDS_25 --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_BLVDS_25 --# , u_IBUFGDS_DIFF_OUT --# , u_IBUFGDS_LVDS_25 --# , u_IBUFG_HSTL_I --# , u_IBUFG_HSTL_I_18 --# , u_IBUFG_HSTL_I_DCI --# , u_IBUFG_HSTL_I_DCI_18 --# , u_IBUFG_HSTL_II --# , u_IBUFG_HSTL_II_18 --# , u_IBUFG_HSTL_II_DCI --# , u_IBUFG_HSTL_II_DCI_18 --# , u_IBUFG_HSTL_III --# , u_IBUFG_HSTL_III_18 --# , u_IBUFG_HSTL_III_DCI --# , u_IBUFG_HSTL_III_DCI_18 --# , u_IBUFG_LVCMOS12 --# , u_IBUFG_LVCMOS15 --# , u_IBUFG_LVCMOS18 --# , u_IBUFG_LVCMOS25 --# , u_IBUFG_LVCMOS33 --# , u_IBUFG_LVDCI_15 --# , u_IBUFG_LVDCI_18 --# , u_IBUFG_LVDCI_DV2_15 --# , u_IBUFG_LVDCI_DV2_18 --# , u_IBUFG_LVDS --# , u_IBUFG_LVPECL --# , u_IBUFG_LVTTL --# , u_IBUFG_PCI33_3 --# , u_IBUFG_PCI66_3 --# , u_IBUFG_PCIX66_3 --# , u_IBUFG_SSTL18_I --# , u_IBUFG_SSTL18_I_DCI --# , u_IBUFG_SSTL18_II --# , u_IBUFG_SSTL18_II_DCI --# , u_IBUF_HSTL_I --# , u_IBUF_HSTL_I_18 --# , u_IBUF_HSTL_I_DCI --# , u_IBUF_HSTL_I_DCI_18 --# , u_IBUF_HSTL_II --# , u_IBUF_HSTL_II_18 --# , u_IBUF_HSTL_II_DCI --# , u_IBUF_HSTL_II_DCI_18 --# , u_IBUF_HSTL_III --# , u_IBUF_HSTL_III_18 --# , u_IBUF_HSTL_III_DCI --# , u_IBUF_HSTL_III_DCI_18 --# , u_IBUF_LVCMOS12 --# , u_IBUF_LVCMOS15 --# , u_IBUF_LVCMOS18 --# , u_IBUF_LVCMOS25 --# , u_IBUF_LVCMOS33 --# , u_IBUF_LVDCI_15 --# , u_IBUF_LVDCI_18 --# , u_IBUF_LVDCI_DV2_15 --# , u_IBUF_LVDCI_DV2_18 --# , u_IBUF_LVDS --# , u_IBUF_LVPECL --# , u_IBUF_LVTTL --# , u_IBUF_PCI33_3 --# , u_IBUF_PCI66_3 --# , u_IBUF_PCIX66_3 --# , u_IBUF_SSTL18_I --# , u_IBUF_SSTL18_I_DCI --# , u_IBUF_SSTL18_II --# , u_IBUF_SSTL18_II_DCI --# , u_ICAPE2 --# , u_IDDR --# , u_IDDR_2CLK --# , u_IDELAY --# , u_IDELAYCTRL --# , u_IDELAYE2 --# , u_IN_FIFO --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_IOBUFDS_BLVDS_25 --# , u_IOBUFDS_DIFF_OUT --# , u_IOBUFDS_DIFF_OUT_DCIEN --# , u_IOBUF_F_12 --# , u_IOBUF_F_16 --# , u_IOBUF_F_2 --# , u_IOBUF_F_24 --# , u_IOBUF_F_4 --# , u_IOBUF_F_6 --# , u_IOBUF_F_8 --# , u_IOBUF_HSTL_I --# , u_IOBUF_HSTL_I_18 --# , u_IOBUF_HSTL_II --# , u_IOBUF_HSTL_II_18 --# , u_IOBUF_HSTL_II_DCI --# , u_IOBUF_HSTL_II_DCI_18 --# , u_IOBUF_HSTL_III --# , u_IOBUF_HSTL_III_18 --# , u_IOBUF_LVCMOS12 --# , u_IOBUF_LVCMOS15 --# , u_IOBUF_LVCMOS18 --# , u_IOBUF_LVCMOS25 --# , u_IOBUF_LVCMOS33 --# , u_IOBUF_LVDCI_15 --# , u_IOBUF_LVDCI_18 --# , u_IOBUF_LVDCI_DV2_15 --# , u_IOBUF_LVDCI_DV2_18 --# , u_IOBUF_LVDS --# , u_IOBUF_LVPECL --# , u_IOBUF_LVTTL --# , u_IOBUF_PCI33_3 --# , u_IOBUF_PCI66_3 --# , u_IOBUF_PCIX66_3 --# , u_IOBUF_S_12 --# , u_IOBUF_S_16 --# , u_IOBUF_S_2 --# , u_IOBUF_S_24 --# , u_IOBUF_S_4 --# , u_IOBUF_S_6 --# , u_IOBUF_S_8 --# , u_IOBUF_SSTL18_I --# , u_IOBUF_SSTL18_II --# , u_IOBUF_SSTL18_II_DCI --# , u_IODELAY --# , u_IODELAYE1 --# , u_ISERDESE2 --# , u_JTAG_SIME2 --# , u_KEEPER --# , u_LD --# , u_LD_1 --# , u_LDC --# , u_LDC_1 --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCP_1 --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDP_1 --# , u_LDPE --# , u_LDPE_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_LUT5 --# , u_LUT5_D --# , u_LUT5_L --# , u_LUT6 --# , u_LUT6_2 --# , u_LUT6_D --# , u_LUT6_L --# , u_MMCME2_ADV --# , u_MMCME2_BASE --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND2B1 --# , u_NAND2B2 --# , u_NAND3 --# , u_NAND3B1 --# , u_NAND3B2 --# , u_NAND3B3 --# , u_NAND4 --# , u_NAND4B1 --# , u_NAND4B2 --# , u_NAND4B3 --# , u_NAND4B4 --# , u_NAND5 --# , u_NAND5B1 --# , u_NAND5B2 --# , u_NAND5B3 --# , u_NAND5B4 --# , u_NAND5B5 --# , u_NOR2 --# , u_NOR2B1 --# , u_NOR2B2 --# , u_NOR3 --# , u_NOR3B1 --# , u_NOR3B2 --# , u_NOR3B3 --# , u_NOR4 --# , u_NOR4B1 --# , u_NOR4B2 --# , u_NOR4B3 --# , u_NOR4B4 --# , u_NOR5 --# , u_NOR5B1 --# , u_NOR5B2 --# , u_NOR5B3 --# , u_NOR5B4 --# , u_NOR5B5 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFDS_BLVDS_25 --# , u_OBUFDS_DUAL_BUF --# , u_OBUFDS_LVDS_25 --# , u_OBUF_F_12 --# , u_OBUF_F_16 --# , u_OBUF_F_2 --# , u_OBUF_F_24 --# , u_OBUF_F_4 --# , u_OBUF_F_6 --# , u_OBUF_F_8 --# , u_OBUF_HSTL_I --# , u_OBUF_HSTL_I_18 --# , u_OBUF_HSTL_I_DCI --# , u_OBUF_HSTL_I_DCI_18 --# , u_OBUF_HSTL_II --# , u_OBUF_HSTL_II_18 --# , u_OBUF_HSTL_II_DCI --# , u_OBUF_HSTL_II_DCI_18 --# , u_OBUF_HSTL_III --# , u_OBUF_HSTL_III_18 --# , u_OBUF_HSTL_III_DCI --# , u_OBUF_HSTL_III_DCI_18 --# , u_OBUF_LVCMOS12 --# , u_OBUF_LVCMOS15 --# , u_OBUF_LVCMOS18 --# , u_OBUF_LVCMOS25 --# , u_OBUF_LVCMOS33 --# , u_OBUF_LVDCI_15 --# , u_OBUF_LVDCI_18 --# , u_OBUF_LVDCI_DV2_15 --# , u_OBUF_LVDCI_DV2_18 --# , u_OBUF_LVDS --# , u_OBUF_LVPECL --# , u_OBUF_LVTTL --# , u_OBUF_PCI33_3 --# , u_OBUF_PCI66_3 --# , u_OBUF_PCIX66_3 --# , u_OBUF_S_12 --# , u_OBUF_S_16 --# , u_OBUF_S_2 --# , u_OBUF_S_24 --# , u_OBUF_S_4 --# , u_OBUF_S_6 --# , u_OBUF_S_8 --# , u_OBUF_SSTL18_I --# , u_OBUF_SSTL18_I_DCI --# , u_OBUF_SSTL18_II --# , u_OBUF_SSTL18_II_DCI --# , u_OBUFT --# , u_OBUFT_DCIEN --# , u_OBUFTDS --# , u_OBUFTDS_BLVDS_25 --# , u_OBUFTDS_DCIEN --# , u_OBUFTDS_DCIEN_DUAL_BUF --# , u_OBUFTDS_DUAL_BUF --# , u_OBUFTDS_LVDS_25 --# , u_OBUFT_F_12 --# , u_OBUFT_F_16 --# , u_OBUFT_F_2 --# , u_OBUFT_F_24 --# , u_OBUFT_F_4 --# , u_OBUFT_F_6 --# , u_OBUFT_F_8 --# , u_OBUFT_HSTL_I --# , u_OBUFT_HSTL_I_18 --# , u_OBUFT_HSTL_I_DCI --# , u_OBUFT_HSTL_I_DCI_18 --# , u_OBUFT_HSTL_II --# , u_OBUFT_HSTL_II_18 --# , u_OBUFT_HSTL_II_DCI --# , u_OBUFT_HSTL_II_DCI_18 --# , u_OBUFT_HSTL_III --# , u_OBUFT_HSTL_III_18 --# , u_OBUFT_HSTL_III_DCI --# , u_OBUFT_HSTL_III_DCI_18 --# , u_OBUFT_LVCMOS12 --# , u_OBUFT_LVCMOS15 --# , u_OBUFT_LVCMOS18 --# , u_OBUFT_LVCMOS25 --# , u_OBUFT_LVCMOS33 --# , u_OBUFT_LVDCI_15 --# , u_OBUFT_LVDCI_18 --# , u_OBUFT_LVDCI_DV2_15 --# , u_OBUFT_LVDCI_DV2_18 --# , u_OBUFT_LVDS --# , u_OBUFT_LVPECL --# , u_OBUFT_LVTTL --# , u_OBUFT_PCI33_3 --# , u_OBUFT_PCI66_3 --# , u_OBUFT_PCIX66_3 --# , u_OBUFT_S_12 --# , u_OBUFT_S_16 --# , u_OBUFT_S_2 --# , u_OBUFT_S_24 --# , u_OBUFT_S_4 --# , u_OBUFT_S_6 --# , u_OBUFT_S_8 --# , u_OBUFT_SSTL18_I --# , u_OBUFT_SSTL18_I_DCI --# , u_OBUFT_SSTL18_II --# , u_OBUFT_SSTL18_II_DCI --# , u_ODDR --# , u_ODELAYE2 --# , u_OR2 --# , u_OR2B1 --# , u_OR2B2 --# , u_OR2L --# , u_OR3 --# , u_OR3B1 --# , u_OR3B2 --# , u_OR3B3 --# , u_OR4 --# , u_OR4B1 --# , u_OR4B2 --# , u_OR4B3 --# , u_OR4B4 --# , u_OR5 --# , u_OR5B1 --# , u_OR5B2 --# , u_OR5B3 --# , u_OR5B4 --# , u_OR5B5 --# , u_OSERDESE2 --# , u_OUT_FIFO --# , u_PCIE_2_1 --# , u_PHASER_IN --# , u_PHASER_IN_PHY --# , u_PHASER_OUT --# , u_PHASER_OUT_PHY --# , u_PHASER_REF --# , u_PHY_CONTROL --# , u_PLLE2_ADV --# , u_PLLE2_BASE --# , u_PSS --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM128X1D --# , u_RAM128X1S --# , u_RAM128X1S_1 --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM16X8S --# , u_RAM256X1S --# , u_RAM32M --# , u_RAM32X1D --# , u_RAM32X1D_1 --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM32X4S --# , u_RAM32X8S --# , u_RAM64M --# , u_RAM64X1D --# , u_RAM64X1D_1 --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAM64X2S --# , u_RAMB16_S4_S36 --# , u_RAMB18E1 --# , u_RAMB36E1 --# , u_RAMD32 --# , u_RAMD64E --# , u_RAMS32 --# , u_RAMS64E --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SIM_CONFIGE2 --# , u_SRL16 --# , u_SRL16_1 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRLC16 --# , u_SRLC16_1 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC32E --# , u_STARTUPE2 --# , u_USR_ACCESSE2 --# , u_VCC --# , u_XADC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XNOR5 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XOR5 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# , u_ZHOLD_DELAY --# ) ); --# -- --# set_to(y, virtex7, ( --# u_AND2 --# , u_AND2B1 --# , u_AND2B1L --# , u_AND2B2 --# , u_AND3 --# , u_AND3B1 --# , u_AND3B2 --# , u_AND3B3 --# , u_AND4 --# , u_AND4B1 --# , u_AND4B2 --# , u_AND4B3 --# , u_AND4B4 --# , u_AND5 --# , u_AND5B1 --# , u_AND5B2 --# , u_AND5B3 --# , u_AND5B4 --# , u_AND5B5 --# , u_AUTOBUF --# , u_BSCANE2 --# , u_BUF --# , u_BUFCF --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGCTRL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGP --# , u_BUFH --# , u_BUFHCE --# , u_BUFIO --# , u_BUFMR --# , u_BUFMRCE --# , u_BUFR --# , u_BUFT --# , u_CAPTUREE2 --# , u_CARRY4 --# , u_CFG_IO_ACCESS --# , u_CFGLUT5 --# , u_DCIRESET --# , u_DNA_PORT --# , u_DSP48E1 --# , u_EFUSE_USR --# , u_FD --# , u_FD_1 --# , u_FDC --# , u_FDC_1 --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCP_1 --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDP_1 --# , u_FDPE --# , u_FDPE_1 --# , u_FDR --# , u_FDR_1 --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRS_1 --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDS --# , u_FDS_1 --# , u_FDSE --# , u_FDSE_1 --# , u_FIFO18E1 --# , u_FIFO36E1 --# , u_FMAP --# , u_FRAME_ECCE2 --# , u_GND --# , u_GTXE2_CHANNEL --# , u_GTXE2_COMMON --# , u_IBUF --# , u_IBUF_DCIEN --# , u_IBUFDS --# , u_IBUFDS_BLVDS_25 --# , u_IBUFDS_DCIEN --# , u_IBUFDS_DIFF_OUT --# , u_IBUFDS_DIFF_OUT_DCIEN --# , u_IBUFDS_GTE2 --# , u_IBUFDS_LVDS_25 --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_BLVDS_25 --# , u_IBUFGDS_DIFF_OUT --# , u_IBUFGDS_LVDS_25 --# , u_IBUFG_HSTL_I --# , u_IBUFG_HSTL_I_18 --# , u_IBUFG_HSTL_I_DCI --# , u_IBUFG_HSTL_I_DCI_18 --# , u_IBUFG_HSTL_II --# , u_IBUFG_HSTL_II_18 --# , u_IBUFG_HSTL_II_DCI --# , u_IBUFG_HSTL_II_DCI_18 --# , u_IBUFG_HSTL_III --# , u_IBUFG_HSTL_III_18 --# , u_IBUFG_HSTL_III_DCI --# , u_IBUFG_HSTL_III_DCI_18 --# , u_IBUFG_LVCMOS12 --# , u_IBUFG_LVCMOS15 --# , u_IBUFG_LVCMOS18 --# , u_IBUFG_LVCMOS25 --# , u_IBUFG_LVCMOS33 --# , u_IBUFG_LVDCI_15 --# , u_IBUFG_LVDCI_18 --# , u_IBUFG_LVDCI_DV2_15 --# , u_IBUFG_LVDCI_DV2_18 --# , u_IBUFG_LVDS --# , u_IBUFG_LVPECL --# , u_IBUFG_LVTTL --# , u_IBUFG_PCI33_3 --# , u_IBUFG_PCI66_3 --# , u_IBUFG_PCIX66_3 --# , u_IBUFG_SSTL18_I --# , u_IBUFG_SSTL18_I_DCI --# , u_IBUFG_SSTL18_II --# , u_IBUFG_SSTL18_II_DCI --# , u_IBUF_HSTL_I --# , u_IBUF_HSTL_I_18 --# , u_IBUF_HSTL_I_DCI --# , u_IBUF_HSTL_I_DCI_18 --# , u_IBUF_HSTL_II --# , u_IBUF_HSTL_II_18 --# , u_IBUF_HSTL_II_DCI --# , u_IBUF_HSTL_II_DCI_18 --# , u_IBUF_HSTL_III --# , u_IBUF_HSTL_III_18 --# , u_IBUF_HSTL_III_DCI --# , u_IBUF_HSTL_III_DCI_18 --# , u_IBUF_LVCMOS12 --# , u_IBUF_LVCMOS15 --# , u_IBUF_LVCMOS18 --# , u_IBUF_LVCMOS25 --# , u_IBUF_LVCMOS33 --# , u_IBUF_LVDCI_15 --# , u_IBUF_LVDCI_18 --# , u_IBUF_LVDCI_DV2_15 --# , u_IBUF_LVDCI_DV2_18 --# , u_IBUF_LVDS --# , u_IBUF_LVPECL --# , u_IBUF_LVTTL --# , u_IBUF_PCI33_3 --# , u_IBUF_PCI66_3 --# , u_IBUF_PCIX66_3 --# , u_IBUF_SSTL18_I --# , u_IBUF_SSTL18_I_DCI --# , u_IBUF_SSTL18_II --# , u_IBUF_SSTL18_II_DCI --# , u_ICAPE2 --# , u_IDDR --# , u_IDDR_2CLK --# , u_IDELAY --# , u_IDELAYCTRL --# , u_IDELAYE2 --# , u_IN_FIFO --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_IOBUFDS_BLVDS_25 --# , u_IOBUFDS_DIFF_OUT --# , u_IOBUFDS_DIFF_OUT_DCIEN --# , u_IOBUF_F_12 --# , u_IOBUF_F_16 --# , u_IOBUF_F_2 --# , u_IOBUF_F_24 --# , u_IOBUF_F_4 --# , u_IOBUF_F_6 --# , u_IOBUF_F_8 --# , u_IOBUF_HSTL_I --# , u_IOBUF_HSTL_I_18 --# , u_IOBUF_HSTL_II --# , u_IOBUF_HSTL_II_18 --# , u_IOBUF_HSTL_II_DCI --# , u_IOBUF_HSTL_II_DCI_18 --# , u_IOBUF_HSTL_III --# , u_IOBUF_HSTL_III_18 --# , u_IOBUF_LVCMOS12 --# , u_IOBUF_LVCMOS15 --# , u_IOBUF_LVCMOS18 --# , u_IOBUF_LVCMOS25 --# , u_IOBUF_LVCMOS33 --# , u_IOBUF_LVDCI_15 --# , u_IOBUF_LVDCI_18 --# , u_IOBUF_LVDCI_DV2_15 --# , u_IOBUF_LVDCI_DV2_18 --# , u_IOBUF_LVDS --# , u_IOBUF_LVPECL --# , u_IOBUF_LVTTL --# , u_IOBUF_PCI33_3 --# , u_IOBUF_PCI66_3 --# , u_IOBUF_PCIX66_3 --# , u_IOBUF_S_12 --# , u_IOBUF_S_16 --# , u_IOBUF_S_2 --# , u_IOBUF_S_24 --# , u_IOBUF_S_4 --# , u_IOBUF_S_6 --# , u_IOBUF_S_8 --# , u_IOBUF_SSTL18_I --# , u_IOBUF_SSTL18_II --# , u_IOBUF_SSTL18_II_DCI --# , u_IODELAY --# , u_IODELAYE1 --# , u_ISERDESE2 --# , u_JTAG_SIME2 --# , u_KEEPER --# , u_LD --# , u_LD_1 --# , u_LDC --# , u_LDC_1 --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCP_1 --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDP_1 --# , u_LDPE --# , u_LDPE_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_LUT5 --# , u_LUT5_D --# , u_LUT5_L --# , u_LUT6 --# , u_LUT6_2 --# , u_LUT6_D --# , u_LUT6_L --# , u_MMCME2_ADV --# , u_MMCME2_BASE --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND2B1 --# , u_NAND2B2 --# , u_NAND3 --# , u_NAND3B1 --# , u_NAND3B2 --# , u_NAND3B3 --# , u_NAND4 --# , u_NAND4B1 --# , u_NAND4B2 --# , u_NAND4B3 --# , u_NAND4B4 --# , u_NAND5 --# , u_NAND5B1 --# , u_NAND5B2 --# , u_NAND5B3 --# , u_NAND5B4 --# , u_NAND5B5 --# , u_NOR2 --# , u_NOR2B1 --# , u_NOR2B2 --# , u_NOR3 --# , u_NOR3B1 --# , u_NOR3B2 --# , u_NOR3B3 --# , u_NOR4 --# , u_NOR4B1 --# , u_NOR4B2 --# , u_NOR4B3 --# , u_NOR4B4 --# , u_NOR5 --# , u_NOR5B1 --# , u_NOR5B2 --# , u_NOR5B3 --# , u_NOR5B4 --# , u_NOR5B5 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFDS_BLVDS_25 --# , u_OBUFDS_DUAL_BUF --# , u_OBUFDS_LVDS_25 --# , u_OBUF_F_12 --# , u_OBUF_F_16 --# , u_OBUF_F_2 --# , u_OBUF_F_24 --# , u_OBUF_F_4 --# , u_OBUF_F_6 --# , u_OBUF_F_8 --# , u_OBUF_HSTL_I --# , u_OBUF_HSTL_I_18 --# , u_OBUF_HSTL_I_DCI --# , u_OBUF_HSTL_I_DCI_18 --# , u_OBUF_HSTL_II --# , u_OBUF_HSTL_II_18 --# , u_OBUF_HSTL_II_DCI --# , u_OBUF_HSTL_II_DCI_18 --# , u_OBUF_HSTL_III --# , u_OBUF_HSTL_III_18 --# , u_OBUF_HSTL_III_DCI --# , u_OBUF_HSTL_III_DCI_18 --# , u_OBUF_LVCMOS12 --# , u_OBUF_LVCMOS15 --# , u_OBUF_LVCMOS18 --# , u_OBUF_LVCMOS25 --# , u_OBUF_LVCMOS33 --# , u_OBUF_LVDCI_15 --# , u_OBUF_LVDCI_18 --# , u_OBUF_LVDCI_DV2_15 --# , u_OBUF_LVDCI_DV2_18 --# , u_OBUF_LVDS --# , u_OBUF_LVPECL --# , u_OBUF_LVTTL --# , u_OBUF_PCI33_3 --# , u_OBUF_PCI66_3 --# , u_OBUF_PCIX66_3 --# , u_OBUF_S_12 --# , u_OBUF_S_16 --# , u_OBUF_S_2 --# , u_OBUF_S_24 --# , u_OBUF_S_4 --# , u_OBUF_S_6 --# , u_OBUF_S_8 --# , u_OBUF_SSTL18_I --# , u_OBUF_SSTL18_I_DCI --# , u_OBUF_SSTL18_II --# , u_OBUF_SSTL18_II_DCI --# , u_OBUFT --# , u_OBUFT_DCIEN --# , u_OBUFTDS --# , u_OBUFTDS_BLVDS_25 --# , u_OBUFTDS_DCIEN --# , u_OBUFTDS_DCIEN_DUAL_BUF --# , u_OBUFTDS_DUAL_BUF --# , u_OBUFTDS_LVDS_25 --# , u_OBUFT_F_12 --# , u_OBUFT_F_16 --# , u_OBUFT_F_2 --# , u_OBUFT_F_24 --# , u_OBUFT_F_4 --# , u_OBUFT_F_6 --# , u_OBUFT_F_8 --# , u_OBUFT_HSTL_I --# , u_OBUFT_HSTL_I_18 --# , u_OBUFT_HSTL_I_DCI --# , u_OBUFT_HSTL_I_DCI_18 --# , u_OBUFT_HSTL_II --# , u_OBUFT_HSTL_II_18 --# , u_OBUFT_HSTL_II_DCI --# , u_OBUFT_HSTL_II_DCI_18 --# , u_OBUFT_HSTL_III --# , u_OBUFT_HSTL_III_18 --# , u_OBUFT_HSTL_III_DCI --# , u_OBUFT_HSTL_III_DCI_18 --# , u_OBUFT_LVCMOS12 --# , u_OBUFT_LVCMOS15 --# , u_OBUFT_LVCMOS18 --# , u_OBUFT_LVCMOS25 --# , u_OBUFT_LVCMOS33 --# , u_OBUFT_LVDCI_15 --# , u_OBUFT_LVDCI_18 --# , u_OBUFT_LVDCI_DV2_15 --# , u_OBUFT_LVDCI_DV2_18 --# , u_OBUFT_LVDS --# , u_OBUFT_LVPECL --# , u_OBUFT_LVTTL --# , u_OBUFT_PCI33_3 --# , u_OBUFT_PCI66_3 --# , u_OBUFT_PCIX66_3 --# , u_OBUFT_S_12 --# , u_OBUFT_S_16 --# , u_OBUFT_S_2 --# , u_OBUFT_S_24 --# , u_OBUFT_S_4 --# , u_OBUFT_S_6 --# , u_OBUFT_S_8 --# , u_OBUFT_SSTL18_I --# , u_OBUFT_SSTL18_I_DCI --# , u_OBUFT_SSTL18_II --# , u_OBUFT_SSTL18_II_DCI --# , u_ODDR --# , u_ODELAYE2 --# , u_OR2 --# , u_OR2B1 --# , u_OR2B2 --# , u_OR2L --# , u_OR3 --# , u_OR3B1 --# , u_OR3B2 --# , u_OR3B3 --# , u_OR4 --# , u_OR4B1 --# , u_OR4B2 --# , u_OR4B3 --# , u_OR4B4 --# , u_OR5 --# , u_OR5B1 --# , u_OR5B2 --# , u_OR5B3 --# , u_OR5B4 --# , u_OR5B5 --# , u_OSERDESE2 --# , u_OUT_FIFO --# , u_PCIE_2_1 --# , u_PHASER_IN --# , u_PHASER_IN_PHY --# , u_PHASER_OUT --# , u_PHASER_OUT_PHY --# , u_PHASER_REF --# , u_PHY_CONTROL --# , u_PLLE2_ADV --# , u_PLLE2_BASE --# , u_PSS --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM128X1D --# , u_RAM128X1S --# , u_RAM128X1S_1 --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM16X8S --# , u_RAM256X1S --# , u_RAM32M --# , u_RAM32X1D --# , u_RAM32X1D_1 --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM32X4S --# , u_RAM32X8S --# , u_RAM64M --# , u_RAM64X1D --# , u_RAM64X1D_1 --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAM64X2S --# , u_RAMB16_S4_S36 --# , u_RAMB36E1 --# , u_RAMB36E1 --# , u_RAMD32 --# , u_RAMD64E --# , u_RAMS32 --# , u_RAMS64E --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SIM_CONFIGE2 --# , u_SRL16 --# , u_SRL16_1 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRLC16 --# , u_SRLC16_1 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC32E --# , u_STARTUPE2 --# , u_USR_ACCESSE2 --# , u_VCC --# , u_XADC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XNOR5 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XOR5 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# , u_ZHOLD_DELAY --# ) ); --# -- --# set_to(y, artix7, ( --# u_AND2 --# , u_AND2B1 --# , u_AND2B1L --# , u_AND2B2 --# , u_AND3 --# , u_AND3B1 --# , u_AND3B2 --# , u_AND3B3 --# , u_AND4 --# , u_AND4B1 --# , u_AND4B2 --# , u_AND4B3 --# , u_AND4B4 --# , u_AND5 --# , u_AND5B1 --# , u_AND5B2 --# , u_AND5B3 --# , u_AND5B4 --# , u_AND5B5 --# , u_AUTOBUF --# , u_BSCANE2 --# , u_BUF --# , u_BUFCF --# , u_BUFG --# , u_BUFGCE --# , u_BUFGCE_1 --# , u_BUFGCTRL --# , u_BUFGMUX --# , u_BUFGMUX_1 --# , u_BUFGP --# , u_BUFH --# , u_BUFHCE --# , u_BUFIO --# , u_BUFMR --# , u_BUFMRCE --# , u_BUFR --# , u_BUFT --# , u_CAPTUREE2 --# , u_CARRY4 --# , u_CFGLUT5 --# , u_DCIRESET --# , u_DNA_PORT --# , u_DSP48E1 --# , u_EFUSE_USR --# , u_FD --# , u_FD_1 --# , u_FDC --# , u_FDC_1 --# , u_FDCE --# , u_FDCE_1 --# , u_FDCP --# , u_FDCP_1 --# , u_FDCPE --# , u_FDCPE_1 --# , u_FDE --# , u_FDE_1 --# , u_FDP --# , u_FDP_1 --# , u_FDPE --# , u_FDPE_1 --# , u_FDR --# , u_FDR_1 --# , u_FDRE --# , u_FDRE_1 --# , u_FDRS --# , u_FDRS_1 --# , u_FDRSE --# , u_FDRSE_1 --# , u_FDS --# , u_FDS_1 --# , u_FDSE --# , u_FDSE_1 --# , u_FIFO18E1 --# , u_FIFO36E1 --# , u_FMAP --# , u_FRAME_ECCE2 --# , u_GND --# , u_IBUF --# , u_IBUF_DCIEN --# , u_IBUFDS --# , u_IBUFDS_DCIEN --# , u_IBUFDS_DIFF_OUT --# , u_IBUFDS_DIFF_OUT_DCIEN --# , u_IBUFDS_GTE2 --# , u_IBUFG --# , u_IBUFGDS --# , u_IBUFGDS_DIFF_OUT --# , u_IBUFG_LVDS --# , u_IBUFG_LVPECL --# , u_IBUFG_PCIX66_3 --# , u_IBUF_LVDS --# , u_IBUF_LVPECL --# , u_IBUF_PCIX66_3 --# , u_ICAPE2 --# , u_IDDR --# , u_IDDR_2CLK --# , u_IDELAY --# , u_IDELAYCTRL --# , u_IDELAYE2 --# , u_IN_FIFO --# , u_INV --# , u_IOBUF --# , u_IOBUFDS --# , u_IOBUFDS_DIFF_OUT --# , u_IOBUFDS_DIFF_OUT_DCIEN --# , u_IOBUF_F_12 --# , u_IOBUF_F_16 --# , u_IOBUF_F_2 --# , u_IOBUF_F_24 --# , u_IOBUF_F_4 --# , u_IOBUF_F_6 --# , u_IOBUF_F_8 --# , u_IOBUF_LVDS --# , u_IOBUF_LVPECL --# , u_IOBUF_PCIX66_3 --# , u_IOBUF_S_12 --# , u_IOBUF_S_16 --# , u_IOBUF_S_2 --# , u_IOBUF_S_24 --# , u_IOBUF_S_4 --# , u_IOBUF_S_6 --# , u_IOBUF_S_8 --# , u_IODELAY --# , u_IODELAYE1 --# , u_ISERDESE2 --# , u_JTAG_SIME2 --# , u_KEEPER --# , u_LD --# , u_LD_1 --# , u_LDC --# , u_LDC_1 --# , u_LDCE --# , u_LDCE_1 --# , u_LDCP --# , u_LDCP_1 --# , u_LDCPE --# , u_LDCPE_1 --# , u_LDE --# , u_LDE_1 --# , u_LDP --# , u_LDP_1 --# , u_LDPE --# , u_LDPE_1 --# , u_LUT1 --# , u_LUT1_D --# , u_LUT1_L --# , u_LUT2 --# , u_LUT2_D --# , u_LUT2_L --# , u_LUT3 --# , u_LUT3_D --# , u_LUT3_L --# , u_LUT4 --# , u_LUT4_D --# , u_LUT4_L --# , u_LUT5 --# , u_LUT5_D --# , u_LUT5_L --# , u_LUT6 --# , u_LUT6_2 --# , u_LUT6_D --# , u_LUT6_L --# , u_MMCME2_ADV --# , u_MMCME2_BASE --# , u_MULT_AND --# , u_MUXCY --# , u_MUXCY_D --# , u_MUXCY_L --# , u_MUXF5 --# , u_MUXF5_D --# , u_MUXF5_L --# , u_MUXF6 --# , u_MUXF6_D --# , u_MUXF6_L --# , u_MUXF7 --# , u_MUXF7_D --# , u_MUXF7_L --# , u_MUXF8 --# , u_MUXF8_D --# , u_MUXF8_L --# , u_NAND2 --# , u_NAND2B1 --# , u_NAND2B2 --# , u_NAND3 --# , u_NAND3B1 --# , u_NAND3B2 --# , u_NAND3B3 --# , u_NAND4 --# , u_NAND4B1 --# , u_NAND4B2 --# , u_NAND4B3 --# , u_NAND4B4 --# , u_NAND5 --# , u_NAND5B1 --# , u_NAND5B2 --# , u_NAND5B3 --# , u_NAND5B4 --# , u_NAND5B5 --# , u_NOR2 --# , u_NOR2B1 --# , u_NOR2B2 --# , u_NOR3 --# , u_NOR3B1 --# , u_NOR3B2 --# , u_NOR3B3 --# , u_NOR4 --# , u_NOR4B1 --# , u_NOR4B2 --# , u_NOR4B3 --# , u_NOR4B4 --# , u_NOR5 --# , u_NOR5B1 --# , u_NOR5B2 --# , u_NOR5B3 --# , u_NOR5B4 --# , u_NOR5B5 --# , u_OBUF --# , u_OBUFDS --# , u_OBUFDS_DUAL_BUF --# , u_OBUF_F_12 --# , u_OBUF_F_16 --# , u_OBUF_F_2 --# , u_OBUF_F_24 --# , u_OBUF_F_4 --# , u_OBUF_F_6 --# , u_OBUF_F_8 --# , u_OBUF_LVDS --# , u_OBUF_LVPECL --# , u_OBUF_PCIX66_3 --# , u_OBUF_S_12 --# , u_OBUF_S_16 --# , u_OBUF_S_2 --# , u_OBUF_S_24 --# , u_OBUF_S_4 --# , u_OBUF_S_6 --# , u_OBUF_S_8 --# , u_OBUFT --# , u_OBUFT_DCIEN --# , u_OBUFTDS --# , u_OBUFTDS_DCIEN --# , u_OBUFTDS_DCIEN_DUAL_BUF --# , u_OBUFTDS_DUAL_BUF --# , u_OBUFT_F_12 --# , u_OBUFT_F_16 --# , u_OBUFT_F_2 --# , u_OBUFT_F_24 --# , u_OBUFT_F_4 --# , u_OBUFT_F_6 --# , u_OBUFT_F_8 --# , u_OBUFT_LVDS --# , u_OBUFT_LVPECL --# , u_OBUFT_PCIX66_3 --# , u_OBUFT_S_12 --# , u_OBUFT_S_16 --# , u_OBUFT_S_2 --# , u_OBUFT_S_24 --# , u_OBUFT_S_4 --# , u_OBUFT_S_6 --# , u_OBUFT_S_8 --# , u_ODDR --# , u_ODELAYE2 --# , u_OR2 --# , u_OR2B1 --# , u_OR2B2 --# , u_OR2L --# , u_OR3 --# , u_OR3B1 --# , u_OR3B2 --# , u_OR3B3 --# , u_OR4 --# , u_OR4B1 --# , u_OR4B2 --# , u_OR4B3 --# , u_OR4B4 --# , u_OR5 --# , u_OR5B1 --# , u_OR5B2 --# , u_OR5B3 --# , u_OR5B4 --# , u_OR5B5 --# , u_OSERDESE2 --# , u_OUT_FIFO --# , u_PCIE_2_1 --# , u_PHASER_IN --# , u_PHASER_IN_PHY --# , u_PHASER_OUT --# , u_PHASER_OUT_PHY --# , u_PHASER_REF --# , u_PHY_CONTROL --# , u_PLLE2_ADV --# , u_PLLE2_BASE --# , u_PSS --# , u_PULLDOWN --# , u_PULLUP --# , u_RAM128X1D --# , u_RAM128X1S --# , u_RAM128X1S_1 --# , u_RAM16X1D --# , u_RAM16X1D_1 --# , u_RAM16X1S --# , u_RAM16X1S_1 --# , u_RAM16X2S --# , u_RAM16X4S --# , u_RAM16X8S --# , u_RAM256X1S --# , u_RAM32M --# , u_RAM32X1D --# , u_RAM32X1D_1 --# , u_RAM32X1S --# , u_RAM32X1S_1 --# , u_RAM32X2S --# , u_RAM32X4S --# , u_RAM32X8S --# , u_RAM64M --# , u_RAM64X1D --# , u_RAM64X1D_1 --# , u_RAM64X1S --# , u_RAM64X1S_1 --# , u_RAM64X2S --# , u_RAMB16_S4_S36 --# , u_RAMB18E1 --# , u_RAMB36E1 --# , u_RAMD32 --# , u_RAMD64E --# , u_RAMS32 --# , u_RAMS64E --# , u_ROM128X1 --# , u_ROM16X1 --# , u_ROM256X1 --# , u_ROM32X1 --# , u_ROM64X1 --# , u_SIM_CONFIGE2 --# , u_SRL16 --# , u_SRL16_1 --# , u_SRL16E --# , u_SRL16E_1 --# , u_SRLC16 --# , u_SRLC16_1 --# , u_SRLC16E --# , u_SRLC16E_1 --# , u_SRLC32E --# , u_STARTUPE2 --# , u_USR_ACCESSE2 --# , u_VCC --# , u_XADC --# , u_XNOR2 --# , u_XNOR3 --# , u_XNOR4 --# , u_XNOR5 --# , u_XOR2 --# , u_XOR3 --# , u_XOR4 --# , u_XOR5 --# , u_XORCY --# , u_XORCY_D --# , u_XORCY_L --# , u_ZHOLD_DELAY --# ) ); --# -- --# return pp; --# end prim_population; --# ---) --# --#constant fam_has_prim : fam_has_prim_type := prim_population; constant fam_has_prim : fam_has_prim_type := ( nofamily => ( n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), kintex7 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), kintex7l => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), qkintex7 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), qkintex7l => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), virtex7 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), virtex7l => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), qvirtex7 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), qvirtex7l => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), artix7 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), aartix7 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), artix7l => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), qartix7 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), qartix7l => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), zynq => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), azynq => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), qzynq => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, y, n, n, n, n, y, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, y, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, y, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n), virtex8 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, y, y, y, y, y, y, n, n, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y), kintex8 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, y, y, y, y, y, y, n, n, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y), artix8 => ( y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, y, y, n, y, y, y, y, n, y, y, n, n, y, y, y, y, n, n, n, n, n, n, n, y, y, n, n, n, n, n, n, n, n, n, y, y, n, n, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, y, y, n, n, y, n, n, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, y, y, n, y, n, y, y, y, n, y, y, n, n, n, n, n, n, n, n, n, n, y, n, y, y, y, n, n, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, y, n, n, n, n, n, n, n, n, n, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, y, n, n, y, y, y, y, y, y, y, y, n, n, y, y, n, y, n, y, y, y, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, n, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, n, y, n, y, y, y, y, y, y, n, n, y, y, y, y, y, n, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y, y) ); function supported( family : families_type; primitive : primitives_type ) return boolean is begin return fam_has_prim(family)(primitive) = y; end supported; function supported( family : families_type; primitives : primitive_array_type ) return boolean is begin for i in primitives'range loop if fam_has_prim(family)(primitives(i)) /= y then return false; end if; end loop; return true; end supported; ---------------------------------------------------------------------------- -- This function is used as alternative to the 'IMAGE attribute, which -- is not correctly interpretted by some vhdl tools. ---------------------------------------------------------------------------- function myimage (fam_type : families_type) return string is variable temp : families_type :=fam_type; begin case temp is when nofamily => return "nofamily" ; when virtex8 => return "virtex8" ; when virtex7 => return "virtex7" ; when virtex7l => return "virtex7l" ; when qvirtex7 => return "qvirtex7" ; when qvirtex7l => return "qvirtex7l" ; when kintex8 => return "kintex8" ; when kintex7 => return "kintex7" ; when kintex7l => return "kintex7l" ; when qkintex7 => return "qkintex7" ; when qkintex7l => return "qkintex7l" ; when artix8 => return "artix8" ; when artix7 => return "artix7" ; when aartix7 => return "aartix7" ; when artix7l => return "artix7l" ; when qartix7 => return "qartix7" ; when qartix7l => return "qartix7l" ; when zynq => return "zynq" ; when azynq => return "azynq" ; when qzynq => return "qzynq" ; end case; end myimage; ---------------------------------------------------------------------------- -- Function: get_root_family -- -- This function takes in the string for the desired FPGA family type and -- returns the root FPGA family type string. This is used for derivative part -- aliasing to the root family. This is primarily for fifo_generator and -- blk_mem_gen calls that need the root family passed to the call. ---------------------------------------------------------------------------- function get_root_family(family_in : string) return string is begin -- Virtex7 Root family if (equalIgnoringCase(family_in, "virtex7" )) Then return "virtex7" ; Elsif (equalIgnoringCase(family_in, "virtex7l" )) Then return "virtex7" ; Elsif (equalIgnoringCase(family_in, "qvirtex7" )) Then return "virtex7" ; Elsif (equalIgnoringCase(family_in, "qvirtex7l" )) Then return "virtex7" ; -- Kintex7 Root family Elsif (equalIgnoringCase(family_in, "kintex7" )) Then return "kintex7" ; Elsif (equalIgnoringCase(family_in, "kintex7l" )) Then return "kintex7" ; Elsif (equalIgnoringCase(family_in, "qkintex7" )) Then return "kintex7" ; Elsif (equalIgnoringCase(family_in, "qkintex7l" )) Then return "kintex7" ; -- artix7 Root family Elsif (equalIgnoringCase(family_in, "artix7" )) Then return "artix7" ; Elsif (equalIgnoringCase(family_in, "aartix7" )) Then return "artix7" ; Elsif (equalIgnoringCase(family_in, "artix7l" )) Then return "artix7" ; Elsif (equalIgnoringCase(family_in, "qartix7" )) Then return "artix7" ; Elsif (equalIgnoringCase(family_in, "qartix7l" )) Then return "artix7" ; -- zynq Root family Elsif (equalIgnoringCase(family_in, "zynq" )) Then return "zynq" ; Elsif (equalIgnoringCase(family_in, "azynq" )) Then return "zynq" ; Elsif (equalIgnoringCase(family_in, "qzynq" )) Then return "zynq" ; -- Kintex8 Root family Elsif (equalIgnoringCase(family_in, "kintex8" )) Then return "kintex8" ; -- Virtex8 Root family Elsif (equalIgnoringCase(family_in, "virtex8" )) Then return "virtex8" ; -- artix8 Root family Elsif (equalIgnoringCase(family_in, "artix8" )) Then return "artix8" ; -- No Match to supported families and derivatives Else return "nofamily"; End if; end get_root_family; function toLowerCaseChar( char : character ) return character is begin -- If char is not an upper case letter then return char if char < 'A' OR char > 'Z' then return char; end if; -- Otherwise map char to its corresponding lower case character and -- return that case char is when 'A' => return 'a'; when 'B' => return 'b'; when 'C' => return 'c'; when 'D' => return 'd'; when 'E' => return 'e'; when 'F' => return 'f'; when 'G' => return 'g'; when 'H' => return 'h'; when 'I' => return 'i'; when 'J' => return 'j'; when 'K' => return 'k'; when 'L' => return 'l'; when 'M' => return 'm'; when 'N' => return 'n'; when 'O' => return 'o'; when 'P' => return 'p'; when 'Q' => return 'q'; when 'R' => return 'r'; when 'S' => return 's'; when 'T' => return 't'; when 'U' => return 'u'; when 'V' => return 'v'; when 'W' => return 'w'; when 'X' => return 'x'; when 'Y' => return 'y'; when 'Z' => return 'z'; when others => return char; end case; end toLowerCaseChar; ---------------------------------------------------------------------------- -- Function: equalIgnoringCase -- -- Compare one string against another for equality with case insensitivity. -- Can be used to test see if a family, C_FAMILY, is equal to some -- family. However such usage is discouraged. Use instead availability -- primitive guards based on the function, 'supported', wherever possible. ---------------------------------------------------------------------------- function equalIgnoringCase( str1, str2 : string ) return boolean is constant LEN1 : integer := str1'length; constant LEN2 : integer := str2'length; variable equal : boolean := TRUE; begin if not (LEN1 = LEN2) then equal := FALSE; else for i in str1'range loop if not (toLowerCaseChar(str1(i)) = toLowerCaseChar(str2(i))) then equal := FALSE; end if; end loop; end if; return equal; end equalIgnoringCase; ---------------------------------------------------------------------------- -- Conversions from/to STRING to/from families_type. -- These are convenience functions that are not normally needed when -- using the 'supported' functions. ---------------------------------------------------------------------------- function str2fam( fam_as_string : string ) return families_type is -- variable fas : string(1 to fam_as_string'length) := fam_as_string; variable fam : families_type; -- begin -- Search for and return the corresponding family. for fam in families_type'low to families_type'high loop if equalIgnoringCase(fas, myimage(fam)) then return fam; end if; end loop; -- If there is no matching family, report a warning and return nofamily. assert false report "Package family_support: Function str2fam called" & " with string parameter, " & fam_as_string & ", that does not correspond" & " to a supported family. Returning nofamily." severity warning; return nofamily; end str2fam; function fam2str( fam : families_type) return string is begin --return families_type'IMAGE(fam); return myimage(fam); end fam2str; function supported( fam_as_str : string; primitive : primitives_type ) return boolean is begin return supported(str2fam(fam_as_str), primitive); end supported; function supported( fam_as_str : string; primitives : primitive_array_type ) return boolean is begin return supported(str2fam(fam_as_str), primitives); end supported; ---------------------------------------------------------------------------- -- Function: native_lut_size, two overloads. ---------------------------------------------------------------------------- function native_lut_size( fam : families_type; no_lut_return_val : natural := 0 ) return natural is begin if supported(fam, u_LUT6) then return 6; elsif supported(fam, u_LUT5) then return 5; elsif supported(fam, u_LUT4) then return 4; elsif supported(fam, u_LUT3) then return 3; elsif supported(fam, u_LUT2) then return 2; elsif supported(fam, u_LUT1) then return 1; else return no_lut_return_val; end if; end; function native_lut_size( fam_as_string : string; no_lut_return_val : natural := 0 ) return natural is begin return native_lut_size( fam => str2fam(fam_as_string), no_lut_return_val => no_lut_return_val ); end; end package body family_support;
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_xbar_0/fifo_generator_v11_0/ramfifo/wr_status_flags_as.vhd
19
20484
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block iisr0ydwFOm3eepmhOYSaxO3flYpViRsLN97vKyw+ai+x1TubmaH8qRRwK/QFeVsjlGTFdxookcr olQwv0bmdw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block dJvTzz+PoD3n2Ot9SgKfpEhIshJxklhDhS1tYcrcmprfs5wN+lN+5Y+o9jEEql61IqDkJEIGu0xp zaDWEeMqwkFuovmZnp/AnbrHb7R/19zPRtwSyZ8+VQRLsRMgscwutXu29fTUST6Ribitutae85tQ 1okc5mYK0mcSMIggcMg= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block ZijKIWnBSOuwn6R4ZrzJp1qaSPGZMrP8GTp+SV+Sn9xEivGxLJtGM40xMLXxiYuxIopDD/A1usG6 HkSoNT6OzxHJWKkUEyyVzrZuJdNHJ5q3s3y5LSNY7eMxN9lY4/gygh7aVIBAO9YWzsWu3HLtrHA5 2vsUFQxQdkG5OTLVP1rH68P4j/dhqr/LVHw+9H76c/knGyalpHLRC7tnHQcfuezFJWlkzaNGHfUo b5cE1YTvtdlZVmw2sVG/GbXIRi5fq3+Okdy+JgckZ4dVWbI20rfa9LkI09/kwD3anyrnovVQVx9h F0AxolVKVVyWNAaSu1fvXllqzrdJiRLbdnsq0Q== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block LUajPw/jRTLlmEKb+9YylQ2jxw4jlSx/1GGaY1wFfWFdMwK2p0xvQMjui8K3EqJF0fnb3QNWuQDl 1vTtf04vcOAHkfRCeW7Mbp8qeUTtAsflGIPJDxHfVU8ZKprwANsENc8LVrpJ0WnjDFQIzJw7LDqc Jj2TofWjKprdxXsMnu4= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block KG6kiSPrd66zvVpG96eKD+783ebVLVFNF7pXgq+rCyBBRoa0N9Hp3DIWK5125mkICodI82zuSq6k C8aCiPbDiv4tiuIn19WDNNPL4ncknL0KLZTLAkq0BIQIsnFNRaZegM9aXOdMYGKYLpnjSD9KRWRt WPXPZfwprSu2D7PeDZMiij3MY+cixttgVmNfcx9Kkmvg+1B5sTSDTVs3fqpJBBO1YslTmxyJAIC6 uDuGqvQ1138z6f4f+f8vMXratK1Ypo3jPPb4FTNLYJio5Vd1Nbpl9kRRtj801Ie0GGhbggK6IXJx 785o6wX6g3tRyoHXGJ4DGUmWlIHATg0KIAflYw== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 13424) `protect data_block rEtV4Bm3SmvVbKq1runp2SaaO1GImraXNQnz2t97NClVhlTBGZ14v+hHArmsTHZNME/QWduIEcCL I8GdWPb/f0NXI5m0D8vUM2MFHCnzTFi82f0pjwFGBVpM7cHKBa5QRX5K/e5A/9KwgbwYV1tKqTXG aWyx6JRfuzQINO3rQqM+n/1b6LSLygDM1QuiPthpMFKV8IfsVkaLDVqcLxH9/n7C64aisv1xK+OH WhYRETSZok8+gbvdGdr2+VsE64ALl3DavNBK4S7IOGP5YtXviHmw+Qb/lvl6m+RggRYmTe1A6B5r pghgGDxK2gS0ItU55quFmZMEuEH+bwLuaJA0/UWR19oWnbcTZnsCqEeN/xbKUzS6blm1K6RPZtYe WSGhjFl0cKHEQe9DfEazTm6tS9mJ55lLbSuwE5o03LDGRapxUdSR0IiKy5C5UP4genzVw3zearva qPWmPeGZcAEyFioI2o4OWQP+8mFdbza1kBOuw4BP76P2c+ij6wbxXAWVxtNmL8f6AgS1AV5SqIO0 ftTCve0JloVh9kpHsbXE1TS45+y0IuiC0N3a8PAEsXa/tnLsnAydpsXIQwMLXmgKfoXKzabAHHdI XZJd/NxD7+xY3aINMVaO5eSSLIdjkYZIeqm6qf+x2eNd9v2nue3I9rjHkjMBIty9wqDCI5HznV19 h0aPmdRn9t7Ft5xXq0GXqSl2I9ZROoM4hg3RU6TCVY4IaDkErgP5cMhIwuHsntmeWvsvkZFygQtU 9TUaf90O9HINFkrdIHf0ZCgtCgUw6ffQNPAkw/6MaoKxm9wdczGi3ur+eyRvSLy7+LQX/dOqvXKM 9UFNjkQk392HWfkT8aaXacuJgFT4hmoEXDGY+tSqQrQRrPmelj+ksf3PcI2r64RSTjiR+9HNqWqJ jPJio2xgGdQdGrH+UewLz0ySmNDYmqxIdyqKfv/B1BYMUpGd+l0eRCp0RwjP6nt7MKkBishuJTL2 2kpCGDQ4HELrlovnj0dMihRpFZAIpY55DfNVE2hnbkHthyDrEXapmovyPqDFel+HKDdimVyeM8CR DKl0D2+OZK8XWAiVk9Ve6w0rONvwf/XvaAkgxa3rDJQo/8g8oiGRq4ku5l3OZUKrPVRcjVNCxHRq 81RLF34Ztt0FyGvWgFBPXPwl/QfIQcetnIv8BBHDyYvjjUEJZxJ0yVIBqSipzmyIn34Kt0GvhgJJ oXsivJz4IQp2WiLYnKzv7NuBWYnOF+M/H8eFTLS7ynV/b0CRf7qayeeaKYL0uv9mUeXbILs7F9+8 XkemV9ihHFfHS04009LEbIzG2O13pEZ78n4YAi47TmCv22T8/Ve6sSAGowqE6FfeksCmQ1+Z98YQ uXIyCDvF0dlGJwZxogjNRbjyCBj6OOagNPhSW71GcVdRv5XSPoZsF68V4hWQeNb+itDo7ZPtZJoJ YzLjFDCWp+2G5a8+OtWGetlJNejx9rEDOQvPXNhCi9xzzzSvIevRpnt9XX8uVwzzSJnKhI91LgRg ID2cjEMis7S70eKGvR2/KBOhU/KAbsgGALtSpbd8HPFqo4CWuxEHCYImqvt7m+vI7jIEpXbwjtx8 QWNgKL8RNSViXrcj5CsXvOI28Nk2V+GZ8jr1/8I4R/Yns4Xfj1TTWzVeNCNHbazn1nufigCGV4Vl qtDHRGZpM2GzgWRsMj5tsZldV3pp52C/Dpr/92KUqWKMf/mZbYDJL1X0X2Tw7iboFgBgx1miq+ht zrLMfkmBPAPakC7uTHv8wdz7HICGyvCct17zvGp/b+9c5KI7lCBCd9jn5PTW35q5ksO4eC9R2AqE 0xJmD9GKB17q8Jk7vlAMs/IJV9rgMDnRfyFkOl4hl2S45SaIY1ObTSNIHJYg+rp/nN6BMaWKrR+7 O6t2IjDTrKFkfrU0cMF3G7EiQSf6RI1d8iyqNJLJJ3fbFhF7XLnn/CwlkZ/03Hwn1nJocabXwbc2 9Q6RrzrxLCWMZVoXaUEBQvapxENHsyZOrmSevUQnuCknCx9Eh/GwdP2bYVHxXWg7ySdjQnVMtR4v qT7n0yJuHI0ite3a92Oo/MBdlgCwEcxfvgz0ILRIK4wFe098lGOX0tVEsLdEUijEAeQR38bksd9a fuwZzPBvMZQ+FON4CQYrDg971r8Qz89ArQjVxWF7TdD0Oaq9vaUrLocNzIw9AcIy8rWaQnwTR/K0 PsXLapKx1fOSZnuztuMHoRXGaqZVlZJGs22/GiJA9y/IBflmF5GNFnRUbXVT8r+FfMb7zIr8eP+b OcPNp6F4kqt/b8gae/9JOIopCuWXpu5kDe0U5aC2qmvMuYbNI88aUx34i3WHd8NWKNbdtGDaQ8nM iyuSX4j7EgwTOuBR/iFM7rZAATM59ZFv+9wRq8hbXVvfsBp13upya8YovLN1O9OWrzxUWym9ZPN1 mDhMT1YgOqVRaJ2ADyjP98UghsOXt6ybu9jGeEndP5T4mZjxZp82OMxqqS6VolaMbGRNPa271n87 65g6Q9l7RYtOL1PjdBOlgNpUdYZwxJ2EGgI1wPnrnuUiZ7sdhpuFkhJDdh2mHYlIUZHAsriLKEHR XOdtU+Desuf1ojV6OryxMP052nRo3DfSj5+dKgSFWVXGLiS4Q5dQxDHIvUugnqZqf+FK5inrMME5 1eHWMPkrqY3H9syJMZ7RM9SwYc/zjL9fOqr9mE+npGx50NODLrgb0FydLIXRotOtI+YSbZHKzsKt xoZNcJJ4GasWF69GNvRenQ3kp1eh71xjJw5a0KZmhsJJXThZLqSzb/sTisTU8jCaMh6S6ag0knK7 jonbXo+dctsmQfLpvLXHN4TNqJnY6alIH0HnsTz7EklgiqvaLbFn+25uUJSNDHESZG2BaAtNvG/4 WuvQCSLWeuJpsrPd+06Bzmmnlvn9InJZhGDVhnZlfj7Kh2PolkMjpLgzqH4f9hm/7zH7o7msjyvZ Rj/JnTghr2ou7m5Ayp5K+yFEUt/y9WWmqXlKOpf12P8RITbx8ILm1kWRqB8L+xfF1r2HXt+av43O pyKFj4Kq1FZckfpg2It+beWX2P825O6hDubEjA2RyF/zyyc3lMSS7vtAQMEOEJnWNslP5r0po6TK F5+Ikch7kOxVShNh4LWWzwFtJb9SBv0iFIezeCGrgApE2blMwedVwOdpPdPvsQjNRYc8YG+dStcY JUIrNMdc6m5qSEWO36XNGXLN/ZrjKkZcCr+z5oN8Oa4cO8jxqZo5bZDRVUh4VXM8a+hHCiVvWsEG HkxV52NFazh7Duhb2Ix5qYigebEWfDnA3frHeY+lRAIE3+X/YoDjgbPuOqgwawkAvhSCeNbNxuTS T9ZzmE8PWRbDowhElwhdboesSdX9tyyp7yCSM6fxKFXbUrPplwsSNsMYsJJ9grw0leD0bx4Cd0Vy Y8dDayiLLROqmsdsKe7b4i2o6u8A0RQrPB31DrVO/yPiNygxChVesembc822gDnOAlf6FO502nEU ItbE4EyM6ZuRk+69RSoT+2AZGRndh55WMQYb6i7ALzZeSttxOh6V+LV5SNYYdeQouPNdd+N45DZn niJzd/11g0AFDHSZFxMK9p0VsOmXbAPFEjcTvMS7PiMwhUsav6ZfZjkVwz4X9s1v8DCZpNbKSq88 kGJQIcZYRdAPuD7V1zvdo0Zf6leEwpYg5lACMpJ8rGWyLPBrYD/CsWB0THjSjjkRntpZXUTF5Sq1 IPSYaQtCSAHZKO95giPeqw3zw2XQ5ci2o+t0eS1YvmSPlvMfZRnkdx98t2mA8ABd64gljY5f+0O0 px5Pec1R5VTiPNgghdEJlgrPqQxSP7vDXo0dtJmtqeP90QCRgaOqEt27wpqzv0KFUth0XwtaJeQ5 dejR/hEOliBmBscgJkx0gBF/nLybnTcQ6xwwOe25uqhvJIiepSDJE4ICrD/MSurrVfozreQGinSL a/tMurSZF67eavaP5tFe2G44AmkmV4WBRnOeWOW2dJ2Q1sYHMUzfnWjdSw1sJJu6+Y0fUowVqq0Q K2lcfV1v+sdb0adNWmXRoPrjCpXnMpWUyUXWCaY8r49ipi+4TCdxE4p/IUZfO1aumt4+xQcBT0dh t1WR18HGPmHp719a+JPxfWkOQjw5JnEukkqxKV6fqJPDzGrHDJvrkNy1tkX0MN6Z+Olw//0xoyyG 9SEwAH72HyUlbfM2lhwM9N6f4cr+CLxPF2At8ppy84kKN/H+2RDt520oTXKCcGFU/txd8LdCs9qG 3diwadeKrfsinlzq/W+3PUAPHvjHcwRyRb4m4Wv6J0kW7ItY1ox7z91NbPGA481MOKLtCEwm6vuk sfLsMi7+T/Hm+qsOXlQ9i8Pf9VAE9LWS2byZEwPIYDYtbLm2L09NRsMgfm6PotDA/9WaPtrx/CrM IMllkwsRz86jBnsfx1s6w2v/gxQFWv0fY8mf1WywsWC+WArpCmvfHO0WMIJtyS/B+XcdiLdfrrJ3 qeRMJy8lhDn9mvRTVYzLXtu6Fv98eAxRiP4hPmT4+kxhTz4CT4cDPP9YKhdzODoL28xWfAYFbD04 Z7nP2BAp3o1FR08u/ctwg8oxDjcRwHkmDHquzKrPjnQBKXv9IMSCNsR7asFA/JqdhHcmuKZg6PRk 6XzKLzz1/Zs3XVZ/rpAcA4yoz12/yPHmsazO+a6cgbZy7JTSwRBhRd31L/KB4M7WXzNJ4paZAsOI O5FWmQpp6eEyGGXpKkGy2qdqVRuRe0IjzwDJG6clerafsgCAj755Q2eTRVVvvRQw+G+hVjqaFu/+ m9KSJt+0hjHW1BHC4wyHN94ORPERUFukKcxOq8a3C4r5hTOZW3XWq1v7Ks4H7Zwi4AlNCGUKQ0ON VSZKVFl61F+tBDQk+IqFz1WMfzhOfRJYfalfeqp5HOOIaK9cOhXG2oYdhceL4LDJlhJPAqpAc23Z G9mCLMh7l3PvdGUWIx2s5Z4EpUsaxWTxxqD4a+cGuaZLzeV55zSCZ5qehwrwRTYvoBZE1+lOXnfi Ryt8wko4y/GJZL/NuHI8l8tJKmVjS+XqWIN5sWUs9WMNit0HB/gZfmTuuvpwP7gjFuUjS2Q+jgYC 9ppF022c89tfs59OKVOjOQ9s2b2FlXyn4zn9AXI7AYGal0MNPRsQwnnaZJiTebyHcwtZucfEnh6z 9K9skBFs29qlMPNYsFP7y8mzdNhDng3TEgYpao3SPfXwDj/CSw/ObVggf8enRTUNlDfJ+17WwDyO /ajc27MzTRLyBCCQhUYvMn80lvwSHxWDIL3xKvr2OLMoIAmgIZJG3sJMyhsOPqFxVb1Qk7NcojOn D11t84xem8WyHJRbm0pbKV40U5U40scS0H5bcMWTEfGT4W0Mt47O181hbfymq/ykV0yIpouFyaDb tUvUtKWqMknlkUxdllrfasNUWgJUfn8Cl8EV1Z3U5ABYiUNuRr5oKcdwlS7eB/n+UgV71hPGXiii tFKvLiZLXS9l/eoEDDKLm6/8OksoHEEFzRFIR8skagCp4rd4fSGbOUietH2v8ecJdTlXFP0ex7TX vh51q5DGduPDyv5nJCNInuPVn9Z9r55S/RGw+ySGAcaPEqaldHWakl5LrzE1/zI4K707/QMAGDAl HQdn4RCGxESdD4HJn35p8o9hnYl7WqaHBddVyszwX//kjQ4qJolh4qp+txlSxnSJmCs83a+aCvMk IbAnKPRH3SP74XCHOQ3bziFlRO0Q1JWSUp+e9CxVX0iTOPbgrB+wD9yT1o6m+o45pOEi4yqt1ZwB 6GRU83LP6o8j9UURxZDZ5WMgpNs4xuaPxAt+XstW7JOy51tYRnIykokiQYYg+aWP02kEZ7KL2cif /t3AkMcRC0iKXbo3c1/h2uNlHbvkqXBOZnmGMzMriXwdE44Vt7izgW2oY3N5IFwqNHPtWi9SS6yA hcD+oqiZ5YnDx8Be3R5HxKPygh4K5ePLmLR6um0pz3P8seQq1RKFP9ctf/u1v+7BlNqcdEez0X0N I4X1lXx9dw1MpdfXfG2riDistMNSEH4Rrccb4Y/8cnRL9fh3mO987Fb0uI03HcxJiExzcwHZ9dco s3vvxZTsaIGr2xmmD+LsMSI00fJFv0/mbMB3LLQfURbbNvuYtBK+fA8U8TOqSRvPYwXdCjv80svZ ecFEkHhpXJBNTWSfUIzupFvHeVSIxo1FYZEy4sS3rdwokvKAiZK3rnzY+Ryed1c8On/UbN07w7X6 m6hS6lOKjYh+wxgHNswvu8N4sknoUX7Hwp9LBuU8+T0Ca/tOrCkICtK8kD5WkMmpO6IWAXUjK4Z8 /OmRAfzuhQeScqBIQTMuw2IkQruwSdfY/2ev76Y8v5xSi/gzcXVjJ6pNWe8NhZ5pL8vuon9u8D9v ac2sfrz5UyHorqRAvNxS0nxaWXiYHYmk54FYhWXq/l06uTApLWRBji257/fX7WCJ6JtNeLLcAFYG ui6Qlw2u4ilhoM33Ba9OQD+hKXM93Ab35owHIBR48oqnZlu/gRs9B7w/mQ9P7Aq6DwyYiEy7zN6P zIrKF6PEXI2oo5vRRDZlhHjnxlG1qbQvhZImGO8R1X3muvsJ0Z9NyHew0PCSz7i9mW6rY2m1FJBl jLOuJd9a+SClV8HYSGnNlxIsBxxS4kdb8pJAiZyO1GsyFurgT9epWWxp6MeSTru98ZQ2HxuKRPAh LAyFLPqo+UCcwRFhd6SEMQhkLktq/u+ZRteg3JfitjOD93M8XsrOOZXAvc8OK94NqeYOeOIYfeiA Bh8AZZCTK3Xt4QLtJ2oyW6gLSK/gyvC1P9wVOFLK0VxRCj7UL1ENqTGIylLsQV1EDrxvDeHgkr8n +celZ0eo5oJZQc+yNrl6D8RLDaFfOndjQQuP1VMMLt/r+SCqzoIQpeaPzjqcZ5F2tDjq3vLL3JlK L72Oet2zPrANXugoDIB6V4zLM77QJB3ICXMRSw3lLKHdoVR1fOZjH7lh6OFJTtre6FJuHv34LR+w Sc62m9Wix3fNqnF2+9Qp1crzn4iR45vHd5J/GET/E8MKd44F0qOzeLFE7zgwf2+Iy6YZU0LJ7OWe z0OlZFdrPEAemSaXyLI3Wg2c7W5Ef4UaJISjZfXU+aX/CFAP3KV58g4cgEfSs9fw8iuCFLuLh3Jh GZg50idBZAseo6HiW0jDA4Nn9S03k0B9v1GqmSWPhP3YhzM/EK26PGYcgF0eivassZQFQSrc6Jil NsS91pv/HNapigSr2eVnB1wDsPbMOeAWMefmfTJEy770FLL4nJvHH23BcLXTk4vQBAncc/ypOm8W 7K8vIx4OeBmtzlz+HHoN+Ki6SGNYfqwhxJ3Iclxi79j84bg6FlZ/sJmHW3B/BcC+MY8FKzU6WOYl 4ii86/wI6/Ymwxsc/fLpXuJgVnj1G6seQpKpHtSA/+fDWnvd7+23DNdK6HfBGZ+9h1HUSEREwoXj 99Lau/2+L3cctWkmre/U6dbCrUJx+9esOM4lxm0AgWGdwsmiTdhQhm1GO9efcz3nod2wuyLOoRFB PRHCoU9xUQeiUOHk4A7KAbqWNnKmpYJRUFtQ3lyKzD1zt5ChuiYS+1trXUf0emVBc0RXJeOJM+oy pdYUCtO7HboKltA1VXkzyJrTAnuRxZ1FiBt3NN7AswsisLqFyQAuddvPGzztWsE/T1mimJzTQK+f f/Lv/B2HA5evVFXQh51vSrY2ub6y7UStyV1sLz4hRJqfnfYYtn4qKe+hiDORa9CUQSPNnR1nNwVS OkQkOe7FGwVo2tF2pgxsVaObzuNgR5W00kvbG+HZrYc/VlQXu17CoYAXyKuimeuQUX6IOYQfOtOi P/656J+ayneD3DdaM4CAxyapYpzyxTtzYw3d3BmLALR36ZccU/VhfYiHYcCtxg9XbjQuCmn0V9tm VhQXJGWmHnrfgcSUohqw+023UH3zssHKe3HoXWtNxZuFWTm8uBN+FQJWwZg5o1SnFllNmOyhtpJN XO8SRcSR9ghUC2PkIXtJSv9s4l9Gp1a1m77LFh4HZa3el3/C2W/EGR0B7R2Pzy8Y8kQnfhLd33aj x06UIZTX/x5oFzGlrD7CuvF5JKo9vOIxzToHh5kdoOD6zjUKUGJYQquc/mE0DMReySwBHVcUIpLT P0tPzMBnO/rCSMnc9ks+pckz6Kip2rnVsPX+HfAom3uAkz3m42JwY6b/bHCDef0RK/3WUac0dSKM kEYtrhwBrDcHu2UrE9D4N3TPQpPhltMcgA3rCnJNzhStxgWfSGcSOX489GY3JX51jrPQ4KLwg3Te uHo9coFgA7zxBD435Ek9ZfJZAcIO0Zt7s2uZwvFyTVmPWSIEW6daOf4f0gxbKYxTM8WdybNJXju9 AuBEu/AVDZ4+JGpSkGoI5khnH625YEMjmDdM7yC1jJKKFINwCI4JiWEAl64hmuHGoqBCRVIgMBYp hCwZyPZsI1RVFT2dRHGrlaHOioCJ4s9qfl+jXm7NnHKSvxNcZuT+Ubv1PiLUCoGFG+sBAEE7OLIx 156yyQxHYKvnmGVKdSv1JDcqFOBTX70OTB59UidJY5m6HfaEtJa2TRtYd9dfiLW4T+bJCNByHVNJ BP5PQ906S6hbtLHGTio7Jc/IK25r925Vil9Q71uHrIoeIOuJxTU2THyuDb8th3jMJAWZ28arIcD1 7zvWma3Osergrj5anOk44hmyfHWNmtZzWfjZ8g2mz5sCZf2xhx1wqFFUm2rP++JnqWZWqJpie9P/ FaUflE91AeT0nPFGzJobKS7vxP3YCIxqDXb4W+GNrbrMzqJv62IjXU/5VT55UrYBObNBKr5pNuPp nl5/A4Sckp8yUP4cXgns9z450Dg8dC2rJeiALt5KoIAI0mqVyz6dmncs3964qm5zvqkhfspebtxv +/5/HLRk1pKJC/0BEIG3U8PblJ4S3qWAR1ocDE72mQpK1S8J2OpVtmNPWqj+Q8XxAKeFhxNgDseh 3Ys+1h4JfwdhkuL1WuvUWRmr43qJQgrAU1dsla9XqNHMblQy5XDeZddFiARAWW3wQ5mQedn8mA5U VcD6AFj0+myr/qmfSW0WZomoAlWRHZR8ww60cUN+wUjqZnXcQrMta/v0wrgmsv3Gm8XyHnb593L7 eG4J4D9wit4Xzo8ICB6DhsQ+QOfSpMQ+Uks7P55CB0dzcg3FIehDZWZfWj4jNvAY1gUscTVyYm20 ltt13qwaUWOMqO2BXOxzc3jQ7Wi51nA9iG29RjBhvOs8SIEWaroBNDKCGcQ3HvQk5wLRSMiGq6If A/12iSm/sYD052pbIGYML2/C6RhJW3M52SyyIXliJtXn3B/si0AgHYfzqT0vXPlxQANLqtU76Uyl JwP32T30MRjAm6qMdCDKPfadIidlWtpiNS/lxnet2Fgcu2RTx9pSlm5DVmFbm0VH38okdGyJDSIF p+FEprQ9eDPqoUzNbjd4QlY9bph/Q/CVR7m8dBAbCFdT7pbH6Wdwk7LdzgRhdtDP9jIsKTNNte1q GMvooCehfU4GiCw5Aa6s4ZZbQSVYuhRYgOHzovGzq1+5wOo7N2JA8vlRYSwwjVyUb2rqq7iWsbg+ JuJapgIlHZCoOngniStpVBvML3CdjisUnPZs7sdb7aLtZRCI8TsyQed5VNTTOv4NXqNYWssW/xWq 6f3VNQFk/gh7GyMyJ3d38QobBhLCLY4hmDK8JEZCWxIL9DN0kaLLviNG2wWKwZL2cD0vxQK+D5M6 PEIAaggXEQmwA138Km55S7ojd/DGbrMb9D+Sj/6WEvXGOXlRpGpFQu+ha0Zx9dB76EhCiH5bYq8w bqILWA9l62keHeCH4BpTHJg8hCuBw91g8KmUfdeZqhZBGmg+jggKMotw4SoSSGVLhK21Ezgu6kSH xJ58XYzSKRTRJwiPKrAW/4WoTYupBxtoBdz+SqQ84ip6iqZT0q/H92SSDYacziEwJ3uB05PxUTio eQqXesLnKDT7FS0PXWpbQ6ZqpzZuwWNroQXXNu1J8npgWoFeQMl5AlAUYOaByxJ9IkIGyYOKvYWA OgomT6uFDSlbXupq1moQTu5MMxn/ZMWnYIjBUqki5h/yxrMoUH85oCigWxdSG6HkE/Dlp5CORbr6 gSgkUnNa61GlwM8WyTdTAlnPRGGVdb1X4S8CEW5ZGHUyn/oCYY1HKlwtLQyyQeVplakXQCvrJ6kQ Bg4uyIJgb9c+RoZytzND3ph+muOAgedD8oFvvTx3sNPkT//7bqD5QROXfB/CNgx/tsm0OEgPUtyx ftKJXDzA7GJhHQNybc4wtemLWBnKgjvyPxxbdEyRdD4wobPkbKzOOTeAMstEFoqr0Y8H7QhkUQam 2jDhUkqJ284W1O4H/XuuB/Vl/qvyU9hoJQcPCgaBGFdq4QRDbpDlmpqlxXrXaHZlgWffJAnQn8Fv sk4H4Ea0/WjIO8ifNl6SfybYK/5oIAIgUi2Nk8KE1m8gnJUPMXSYWsAeYkR6ybc3C9yJj6NzwSUW CqJJugNELmiv6J9VPA9PaGQ64c+3pm+cpyDNDHQ1vY1qvj3nEgqx5n0Y39nCsQImiPV/Sg9yh2Bk HQ4ZMwhLI+nFwK0OZ/zkh4odiDsOBE3M+kMnlZ5BJmXK2t+A59T7AvwpyVEVogCrqtbogq7EyP2R /KoZIKfyE5vXtjndlUyZjAiNgpjTc1VakSJb07v4Jnou0T2uuBBVLBE8e5fRknL4orW7nwiNGR3A FjSKy2+CMPD486jawdbxAbwfChXyeCLhOttQScZ5/UuJXKibAEIiWMO0zwi6h0787UrxLIJuioc4 nULkOdY/JKeviefRwjlnZY4q5i8h1F/oMT/HYeWGqrroYovXKcnUxbMWZD+jaopXwpKIKwV/u7gL ICCVqIDSf8Gom4lbOw1ZcRZKLSyvneRHTfAaqVZivhe1m/wTbLuvizyo5v0fH7nNqAzAgtH7oirl O09aUTNKpDm720Ay5sPItAEz0pFiZQIRDfWGCHCuuGaXZG0xuyl8ShQxJz/9BEeMVCPhZnOaNv8X bNe0t7omyZMkSFNPR4U3evzcLjcuK7VEZZdMkX6tka5B3C4bRACtFyOeQCt79Xrriwjp3eDw8Yxl i4ZnF2nnIzXhArnO3TFIuhZXD15yn9vVT16wMxV0rkzQ2P+1+g1u7aeDNwRT2xaUvdsFLGr61RsA krrBB/uXlnDPWrMSIoSOLSTC16X9VfDFq7XtK2uA0BmKK5FJeWOI1ArralXwFlj8KdxJ0L25ro4p IZhykME1I9BoKS3TjfbTDmfX1WVooDH5YBhsp3fnJjyZm0vZ9V7nsz7eC/en9E7r62uh+MrQsnxQ HEOfnD5I5vsCo4FmTwA6lhGbUO5+59ZQ6busQ3Da/4/gKfWPi7Rx+7Y3AL2HiXlvnKxN32bezNjp dYjFYXVPdjaFpz0GrP3APSdp3La8UFzXbVhLuwuv0mDPBPScpRdDo2G0X7gso054AFVY6n9p8tdd 5zYfJhmIvj/NqUn/wjbA1Ptn5IjIafceDKqCWE+o9brGUJBbmYQvsYtD4pa83lH8uoKqIULDiSXg 6yxJwmM59viy5qkaOJYrzsWg3wlO+PCkAvqg5HpLKFZUsQIYlmnRFiU2siCw5xh8Lv91KTWQE26H JygYAC9Di3Fuj9L52dCNMgbtOCerVWI4RqUpIFnC+F3fY0d0urDChvfCB4v5ZfmHK7UQWuUl5DRA Ncjw2/e3pwmVbyls0YUVrzdizPbhlKDJX7xzvC4K10nrAjnG++RxySdAOFZXubgPzTr62JQtSXmW IIqO1vKeYP7Zb22j7YH/bXfT/F5cufY3ai23D7tEwC0XTRPsjTnkyjrFZDKy7H4jtCHGqFDihiKn lzcjRj0nxDEydN0T3XZVLw1ckchidFI80LIRUz5/80zPxLB32RudBu90cckCuB1n8lnmLPij/zE+ aucm3Kwj0LLI/ESxyT4RR0eJrEyPbq9hWnKrwAbHzhPaF+fffQmkrsUci95u/+x5LJP6G4/zY5ZU 42fBuiz8uxbweZF5KyivG516l+EjFp1oi1B96wKupMTLWNO5UC4Axpffk4EKZEEns0gYRwpJIJRE k8wuG63EMGWNSCTG/RO5z9NxoZktD7g60co/R42CBfts1WLyi+ow7jHsNlPv2xDWQd26f9hJIG0e TVk9W8+8PqEnJMnsgKAfDu8qnlNGOsOHkqE+0aqrtum7PjdweTcx62yaHJffKPA9+xi5XkwSw90Q gvLoWjJpXh3ptwi4hIt+bp5SLcz1MgCE3s+B9GMkZp6eji4CZRJ4Y8HsDzXziQLOBcJQbavNtaQc TKFoacbgnSmdbaLo6XIalSOZIEQbh87hhxV6K+UWL1flpVWVAsJlAajEXmi7Y1H97PKK4PzSN+fr yJifROBUNzCVFwmnra+Zipb4E5Lcxyic9aLP4yppTbb/i3T4qOrnXLKwuSrhJXSCcTyIRNfCOFlv XN7teOJs72V0dh9L2Cz+VbtkRX0l6NYasCjX5gO0C9MmgYx+KYUX4dFrpHbbUVI/aeFPSRXeqpDp Bj9ql3XKb0y+qM3C+ISe74cIUmyZPAsxtspP4l5ZqJ+0B83nubj14d/NJVghYmn7MX91fvjVASmN lHcGwVvjoBHip3wjmlEjH6SoXc9kZSi06Y86jAP1G1cetsxKKdscQvvIUgoMDbTIh6hwcJVeWzdL FeU4QV/2aGp2kibI09y/XFAZ2mNG6KrztPsjXWq3ds8FwxjebgVCba+YBkr11MEoN8SQGoQunHoR wD0amqgzGzavEsdYCJ8t2cCLE6pF55bmrf4hm3BUaEi+H93IC5sJ2FrXcBTJB34BRd3BWFA4sQn8 EHoI6sWL/HNvZS+gmk9tJxOpZdOlBmBvL7QUxs9O7HcdiJgqyWSO2WiYWifPywrmOTezB/3RbwAO kCUo352IbRcj3TrkIOubd3/438v4D7Ft3DhuapnoCgB3AiCh5BOxLotQ9OLv93+EDKzj/zShPRlD D59DjxgDs4Iu+g15WT/OKtcR3zlU4vfTWVU8Pr0Rrd9q336s3AfGKPsXXriQ6NZ9n9r5uEGts4dA CYsfvUEE6TTkT7HDGNd88HhGc9mYTrvIYqnxNJ2Dfxdy3D6py5NGKwO6Z/oHkj6jB0bWGX/iwhbN OZ8Kc2Y/JJdWFNMlOGHs+2mgWXt6E5z02EvayLNFqqXbzAWxSJ4gVWUkRW1w4X6kYXnUfn/uK9T8 fyhoOAFAK7KnWzDARKpQjPRv4cyZKWEU8ND2VGBYHHhelKiwkDMuKr8qCOHoiTY9LsSSTJ0y3Om5 zPbN4R4hd7Ki1teS5VRo9DgtjemIkmKBmt9AVyH8O7supJ4F7fWQI9zIGnoUPi2/DYYul6u+5iWT Nnlokkjfdc4WCCICsJu4zYJ/8oFwpYBTtAunbPpcyXF/jj8BGbtrurRFhOc9OHpTS5riE7CjTD41 SMNvyBkzXhdBL7s9fFTUr2SwP/m/pdiYt1Y8+cPm/1EIyP5d5UbuPMKsZl3LDwWXCMnKi/h3PD2z CGJbKmdAx1uch5biRyNx6w3CCPCangeKeYwHKLHU3QjsWtCBfoAkwR+YArHSuJu8Xvtd34qhtsiL s3yC9fez7iMXGfqasfXLzwl/T1pnQLZ2q5XYcSmbjHxP/9A27xwKycajveYOqzAvM3CRfiZE8eY6 nI0NQlJ53WwU2oTg26Z6QRQe3XHyzBwou5E1nBjHU2cxdKlVp9DtJEqKHiY19jXJ15FW+qthh9G3 7MbDqD0hJC4kwh8UFZkjzWYM6JzvLGwdsQBfme8bOryRIVZ67tt4bFVVLM9FXD4pW0GJ6ORp8Tdi 4nJ6S3aD+mYkO9ofUAzhp1lc820p3nSEDgqvhWKK+V8arvQArAOVqlMsfcrxjTAftF+gupUsk4Uu x+TuA+NA2OPMbOvrKHF/9q/bRDZFWAK1pqkR/ayn+Hr9aqdjxKLKLgWR5GJILTb6RvYPQ7C4/P9u ORGmHF3yzCa8y0jOFH93CrTEfxSjBF0EiTlKkF8k/2JU0TKPm5zvg6slp2L/EEy0ydkfd2uVivJM qWFaC71OR8sCvnHywV9Rqc/3Z5M2hIVDYOyota7W0D+EpXlGCDVDQTpNeGWmOLMqNfWr9mWdkNpv GYuGydcdMKsPCIlXc1LGOaspNv21aHliav8RjakyVwcswmUhf4ZBHyByl3pyxgpm9fvfdXUC4KzO tu4VTi7sGKg3DdJhVLw6k/2u2icZUQJBG06UWsOYro6lLEAa68zHBoXCTBDX1LdBbB0EpvjZGyiV uRE+GXFmHrA/q8FCObD20V/4gXKXk96VrBgMlOCPfO4TJLu2BNdhasrxouG2R9Tf4ha3DpYB5Wuc u0SGgldtDs6NlsmbqCFk10eYfWxWmYr7FmwhHlxzl9F8T97rG2QylnqUtYMDx5M9tA9+oLYxWA8y A61+YQeWWM79SjgKWslaAG554is4whtWWKHUsHr1n7NYjd26Xge/QVwVvSQh2RwbfymuNEN/70nO f5l1YSAhk1y/G3FFQ3eccWGONkdgA9dS9HZQR7SD++bYaL7Y31aVlOxtswK1jcHpFCTFWeChLhpk DhoqBem38sM9At8UHDlWF7FnNAdhktmFUDxRIqNrYrFlhR5Ay5crXOKjDrTyb8zQYmAalRw+P3dt 9fkWxL2T6HAMYBjUAvwxPOx3FXGcW7dkxacjYVhZ47bVwupVqkgXiYkIDfmm9tjzFNPCQnIDtgPR 22s3BLR4rzfdd1W6ClCfGZ33+Lcvtdd9Ki+ToBL4StuX9+m9nY0eq/rislQWncvUWRVJfHsBK+JW b3dfPRlF4ThV5RejfaAqeMycTNOLFrA8X+xl3fZkznaeVNrgkR4kwoDX2c2Y4oUWRxg5an9f6XME h5UtbZe1NWmkPyew4JFdfnNc+OItFmUqcl4XQxzLtu/yeQzsZyPgKfKbrZliJk7r5SqcKVjI+1/u BssgQeOwTpFRPsa2skTlRCvfxpFwBXYQOkncuApZXm3H9ImD8i99TkdhAZ8NWgiMGx7rV2J3CCI5 HsIp3c31R1wqeIc8490LHA9lTaqll7qbFAsnlPCl3H4sik7s8zflMICkU+efqDw7eZ8f6rqVVVmh MVUYBnN97fby00WKxxnfX/5ZjKDrN6aiFvfS8tCxuEgaYRk9kmkIXugVN6NzveA3HqSOhYMhKGKe JFqOwIO7XaEuFPVFmRdwDreq6VIIsQvspti8FGzLp515iW3yBgfqUPz9yQyIEyzKSjfIuGcnc+Nl 53FjdgfO8sHjhl27ZrqtLlZXmHNt1QTIbla6eWi4A+ANmMq1Y82B1nJa/3DKWjO8O8ikeS55lE9/ rBW33a5rSwc91N8sK9MH9ltCWqCHzi9hh4nLPXYs0p63Ba1BX2BTEdHAMiV/ok7Gk3mE/xrbysXB OsHxm/PTXLq1Oruj9e0Flq22LadcL1O/ORC4JSBOiiuM9gr4TqV/gDQtqKIIrYkM54hiOOsqqolt 2A0D6WDStP4Izq+kNwgo0WAOXA+JYOGHTHHRtkjSjMynoG6G7DtSNojNuPwXQEGyf2gtzfNWlyT2 XjOd44j92KD+xypnrDyiuuF5/HDY/EZqe/gEX7eB0n+d8POCNdlF0wY1m7sTcWRKbBWi+C4uj5nC B0jFvqs+NEuIq0GN2tFo+Ec5OXuEP6EMYQGl1ODp7STVcqPqpma0n1YREle+zk8moNQW89cr0XwL fAAaYcVNtR8pt2SOPnBu1ud25wfn1rf7gqp26RjKDz3HUT95C5RC584NThsfxQKdq5N1R+TRBfbA LnMrcp9/gs2ZbcUq1Csl0IU5KbrWEzyG2Jkhrv1u0ZtToppSSSL0i8x5a5XjjkFQH6v5b2FdX7IJ vboF3oVcuM4hjOKvru6TxveJKkRXAKn3T85gpZ6tqn9lWwIB3/VBbRBTulbAycK2aXgR41wbOmXg QNMq39AVJRBU+wOnxXZr7+37NKgMNnKWvvc09ArGGJLv+Z8L4TP45esWft8psoczuZxBQjOBePHz HnfM9/zkXAix763TqxsfjxCJJO/wC44vt7vQdUsZyVRYVoOgvnWad7bYV0tAORl3NjzUYDu/7Obu WqBkovNas0ezzlTAzKuzlo5uxBonTn05kRcFsil3TfNLmAyO1pvn7UxNpbytHH9aAgi8kx5iyHjI icVFxq6wt3jZ68/S36AKm2Naq1kZva+2TmU9hiSPQVVKpE2EnC2j51C+g2m9/apvF9lg1PQG/Omn 0IjWfrKAvR5i1MY4FRtksBpFRmm6vTYYcgXQohY4UYylbtw4v0ehzx2zWObmMXQkKwMRPi4tmoh+ q3pjDIws47VK8TWzDXuBY0GVQ0cty4xAUtzKd+NMYMqlzZxnAFEpu6jhaQq6w1LzfqWZnbl+1Ext 1NJJzOnKdPXbHlTD1DVoKPiK/9lF6jsvBmrphNXTr5s5JCLeqR0pENXQjtbZJZg8NpqEJzpiEEPC MgiDFdPFY617TuVFl7NyyUehhnBo58hv4nU58I05y3YgWZ9eB7j2Pa2tlFhqo2b0bV3Wu38WzmBg wJMu3+aKl2WkH9KRNkmt3gjDQSDG05gGaXl/6YKShvF8dfZ1sKiXXldXHqPH3Mk9TovBoyQdLGFK HW4NxnjJDBIar/Qq9w8/gIlFAfiM1EG3D7XH7YhK+8OVXS0edGuuj2qsHaOAdp4HX4qWum5KqRvF vYpmT1YLBHzUJ+tE/5oZUkk9cVP1/KO44APxW6dKTmbGj5HlMhR/DdeK+cRGlMAjFo9BcDdL2k+j OaREG08x4yWQ/7Z94F/jlNUQeZiO+ccDNPVjmqNk+k3t5xtANrk8PesyWIs6/kziY/mEC9ozlx4a J23X7ajw1HBSchZGBr0STwWoLZSz8yY3wfaqmO6j3ofzFeT778MV5efqiZKdOJqNjvQjOqEBpS1O gRPjdQN14G+vee50c7cOmWF8rpUErCEJbtRotTUsZ1zewOs6b1ALGrpT8dZ7zi/2SWKsmn+AvAKN 4PzVI+0fJEqfYc9vuaTwPNb6o6rFvfbpGw5MOBCYUZ9XqywtiyzSlRNbECgj59v3X8GN2OOZmElV V87n29XnqTND0Rb3EprztQeoMLMHFSKVPMkPzbdyOPMsDU2rr+tkD/sHPQpIDze3cIoQiT9PRrQF 35sD0nRiWngPOc4VxIJE9h2ITen07Rn1PQy31vcOVn0HCYBHpZa2fiJ4lU1YRVzyVZfuGDldE0tA skEDnkOA3QtsbofmeNZIG8H5jD4vdXW+tk1Gb7facgTCLt2aL5K/zXEQ348EZTSFTgIxNeSi0JJS 6jGYW4/Ye3FLPeUuy+ZrFF8+ZAy8lp5WaiFO6xYQrRrR2K1Qu6faPBUD+RQSF9rtKHwSwLZyFOYW A+VYQUUyNadoSx8tx9Ll4d9XBdOoDxHEgHd4nQ+N/GnZpOlxmoTK2U4z2TRFQdUJpFLAje2x7Zhy /tyEc0VZ721GQ7VdIjevzlyYrZla2Mol3eELzY1wJrFGa/22gh5HN6pPvoMAUg/qLk46b5E6CrIE VLetU/uLZZf1MMviF+iyKXWtJol1MUbHOVUGFrUb64eYirmuP5WylzxyRZs9lL7y1Uj9xeBJW13F CnSMn9Z9szQVCtYNzdvgJN0h9C2zF60bGErQO9IVjG6ZajTfZttjNP3gB/dUunKBtjPwd6CSQDF5 9MRc9x2CAQkWj9oiFFZLLykegY2erht7tHrduDP6OUvsxynJNUOlhJb74k4Zha5aTl7appcs527a IpIy+01oKZ7bpLDDvRDpT8aooRVVg/63KQWJpg/ZjfE+i2dpeaOlVHUcXr3WFkQuT62enDNFs6kr m7TpDBlr4U3x0IRGnE2zburjcZJ5w/MLyt9d+Pc= `protect end_protected
mit
HighlandersFRC/fpga
led_string_no_gpio/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_auto_pc_15/fifo_generator_v11_0/ramfifo/wr_status_flags_as.vhd
19
20484
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block iisr0ydwFOm3eepmhOYSaxO3flYpViRsLN97vKyw+ai+x1TubmaH8qRRwK/QFeVsjlGTFdxookcr olQwv0bmdw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block dJvTzz+PoD3n2Ot9SgKfpEhIshJxklhDhS1tYcrcmprfs5wN+lN+5Y+o9jEEql61IqDkJEIGu0xp zaDWEeMqwkFuovmZnp/AnbrHb7R/19zPRtwSyZ8+VQRLsRMgscwutXu29fTUST6Ribitutae85tQ 1okc5mYK0mcSMIggcMg= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block ZijKIWnBSOuwn6R4ZrzJp1qaSPGZMrP8GTp+SV+Sn9xEivGxLJtGM40xMLXxiYuxIopDD/A1usG6 HkSoNT6OzxHJWKkUEyyVzrZuJdNHJ5q3s3y5LSNY7eMxN9lY4/gygh7aVIBAO9YWzsWu3HLtrHA5 2vsUFQxQdkG5OTLVP1rH68P4j/dhqr/LVHw+9H76c/knGyalpHLRC7tnHQcfuezFJWlkzaNGHfUo b5cE1YTvtdlZVmw2sVG/GbXIRi5fq3+Okdy+JgckZ4dVWbI20rfa9LkI09/kwD3anyrnovVQVx9h F0AxolVKVVyWNAaSu1fvXllqzrdJiRLbdnsq0Q== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block LUajPw/jRTLlmEKb+9YylQ2jxw4jlSx/1GGaY1wFfWFdMwK2p0xvQMjui8K3EqJF0fnb3QNWuQDl 1vTtf04vcOAHkfRCeW7Mbp8qeUTtAsflGIPJDxHfVU8ZKprwANsENc8LVrpJ0WnjDFQIzJw7LDqc Jj2TofWjKprdxXsMnu4= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block KG6kiSPrd66zvVpG96eKD+783ebVLVFNF7pXgq+rCyBBRoa0N9Hp3DIWK5125mkICodI82zuSq6k C8aCiPbDiv4tiuIn19WDNNPL4ncknL0KLZTLAkq0BIQIsnFNRaZegM9aXOdMYGKYLpnjSD9KRWRt WPXPZfwprSu2D7PeDZMiij3MY+cixttgVmNfcx9Kkmvg+1B5sTSDTVs3fqpJBBO1YslTmxyJAIC6 uDuGqvQ1138z6f4f+f8vMXratK1Ypo3jPPb4FTNLYJio5Vd1Nbpl9kRRtj801Ie0GGhbggK6IXJx 785o6wX6g3tRyoHXGJ4DGUmWlIHATg0KIAflYw== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 13424) `protect data_block rEtV4Bm3SmvVbKq1runp2SaaO1GImraXNQnz2t97NClVhlTBGZ14v+hHArmsTHZNME/QWduIEcCL I8GdWPb/f0NXI5m0D8vUM2MFHCnzTFi82f0pjwFGBVpM7cHKBa5QRX5K/e5A/9KwgbwYV1tKqTXG aWyx6JRfuzQINO3rQqM+n/1b6LSLygDM1QuiPthpMFKV8IfsVkaLDVqcLxH9/n7C64aisv1xK+OH WhYRETSZok8+gbvdGdr2+VsE64ALl3DavNBK4S7IOGP5YtXviHmw+Qb/lvl6m+RggRYmTe1A6B5r pghgGDxK2gS0ItU55quFmZMEuEH+bwLuaJA0/UWR19oWnbcTZnsCqEeN/xbKUzS6blm1K6RPZtYe WSGhjFl0cKHEQe9DfEazTm6tS9mJ55lLbSuwE5o03LDGRapxUdSR0IiKy5C5UP4genzVw3zearva qPWmPeGZcAEyFioI2o4OWQP+8mFdbza1kBOuw4BP76P2c+ij6wbxXAWVxtNmL8f6AgS1AV5SqIO0 ftTCve0JloVh9kpHsbXE1TS45+y0IuiC0N3a8PAEsXa/tnLsnAydpsXIQwMLXmgKfoXKzabAHHdI XZJd/NxD7+xY3aINMVaO5eSSLIdjkYZIeqm6qf+x2eNd9v2nue3I9rjHkjMBIty9wqDCI5HznV19 h0aPmdRn9t7Ft5xXq0GXqSl2I9ZROoM4hg3RU6TCVY4IaDkErgP5cMhIwuHsntmeWvsvkZFygQtU 9TUaf90O9HINFkrdIHf0ZCgtCgUw6ffQNPAkw/6MaoKxm9wdczGi3ur+eyRvSLy7+LQX/dOqvXKM 9UFNjkQk392HWfkT8aaXacuJgFT4hmoEXDGY+tSqQrQRrPmelj+ksf3PcI2r64RSTjiR+9HNqWqJ jPJio2xgGdQdGrH+UewLz0ySmNDYmqxIdyqKfv/B1BYMUpGd+l0eRCp0RwjP6nt7MKkBishuJTL2 2kpCGDQ4HELrlovnj0dMihRpFZAIpY55DfNVE2hnbkHthyDrEXapmovyPqDFel+HKDdimVyeM8CR DKl0D2+OZK8XWAiVk9Ve6w0rONvwf/XvaAkgxa3rDJQo/8g8oiGRq4ku5l3OZUKrPVRcjVNCxHRq 81RLF34Ztt0FyGvWgFBPXPwl/QfIQcetnIv8BBHDyYvjjUEJZxJ0yVIBqSipzmyIn34Kt0GvhgJJ oXsivJz4IQp2WiLYnKzv7NuBWYnOF+M/H8eFTLS7ynV/b0CRf7qayeeaKYL0uv9mUeXbILs7F9+8 XkemV9ihHFfHS04009LEbIzG2O13pEZ78n4YAi47TmCv22T8/Ve6sSAGowqE6FfeksCmQ1+Z98YQ uXIyCDvF0dlGJwZxogjNRbjyCBj6OOagNPhSW71GcVdRv5XSPoZsF68V4hWQeNb+itDo7ZPtZJoJ YzLjFDCWp+2G5a8+OtWGetlJNejx9rEDOQvPXNhCi9xzzzSvIevRpnt9XX8uVwzzSJnKhI91LgRg ID2cjEMis7S70eKGvR2/KBOhU/KAbsgGALtSpbd8HPFqo4CWuxEHCYImqvt7m+vI7jIEpXbwjtx8 QWNgKL8RNSViXrcj5CsXvOI28Nk2V+GZ8jr1/8I4R/Yns4Xfj1TTWzVeNCNHbazn1nufigCGV4Vl qtDHRGZpM2GzgWRsMj5tsZldV3pp52C/Dpr/92KUqWKMf/mZbYDJL1X0X2Tw7iboFgBgx1miq+ht zrLMfkmBPAPakC7uTHv8wdz7HICGyvCct17zvGp/b+9c5KI7lCBCd9jn5PTW35q5ksO4eC9R2AqE 0xJmD9GKB17q8Jk7vlAMs/IJV9rgMDnRfyFkOl4hl2S45SaIY1ObTSNIHJYg+rp/nN6BMaWKrR+7 O6t2IjDTrKFkfrU0cMF3G7EiQSf6RI1d8iyqNJLJJ3fbFhF7XLnn/CwlkZ/03Hwn1nJocabXwbc2 9Q6RrzrxLCWMZVoXaUEBQvapxENHsyZOrmSevUQnuCknCx9Eh/GwdP2bYVHxXWg7ySdjQnVMtR4v qT7n0yJuHI0ite3a92Oo/MBdlgCwEcxfvgz0ILRIK4wFe098lGOX0tVEsLdEUijEAeQR38bksd9a fuwZzPBvMZQ+FON4CQYrDg971r8Qz89ArQjVxWF7TdD0Oaq9vaUrLocNzIw9AcIy8rWaQnwTR/K0 PsXLapKx1fOSZnuztuMHoRXGaqZVlZJGs22/GiJA9y/IBflmF5GNFnRUbXVT8r+FfMb7zIr8eP+b OcPNp6F4kqt/b8gae/9JOIopCuWXpu5kDe0U5aC2qmvMuYbNI88aUx34i3WHd8NWKNbdtGDaQ8nM iyuSX4j7EgwTOuBR/iFM7rZAATM59ZFv+9wRq8hbXVvfsBp13upya8YovLN1O9OWrzxUWym9ZPN1 mDhMT1YgOqVRaJ2ADyjP98UghsOXt6ybu9jGeEndP5T4mZjxZp82OMxqqS6VolaMbGRNPa271n87 65g6Q9l7RYtOL1PjdBOlgNpUdYZwxJ2EGgI1wPnrnuUiZ7sdhpuFkhJDdh2mHYlIUZHAsriLKEHR XOdtU+Desuf1ojV6OryxMP052nRo3DfSj5+dKgSFWVXGLiS4Q5dQxDHIvUugnqZqf+FK5inrMME5 1eHWMPkrqY3H9syJMZ7RM9SwYc/zjL9fOqr9mE+npGx50NODLrgb0FydLIXRotOtI+YSbZHKzsKt xoZNcJJ4GasWF69GNvRenQ3kp1eh71xjJw5a0KZmhsJJXThZLqSzb/sTisTU8jCaMh6S6ag0knK7 jonbXo+dctsmQfLpvLXHN4TNqJnY6alIH0HnsTz7EklgiqvaLbFn+25uUJSNDHESZG2BaAtNvG/4 WuvQCSLWeuJpsrPd+06Bzmmnlvn9InJZhGDVhnZlfj7Kh2PolkMjpLgzqH4f9hm/7zH7o7msjyvZ Rj/JnTghr2ou7m5Ayp5K+yFEUt/y9WWmqXlKOpf12P8RITbx8ILm1kWRqB8L+xfF1r2HXt+av43O pyKFj4Kq1FZckfpg2It+beWX2P825O6hDubEjA2RyF/zyyc3lMSS7vtAQMEOEJnWNslP5r0po6TK F5+Ikch7kOxVShNh4LWWzwFtJb9SBv0iFIezeCGrgApE2blMwedVwOdpPdPvsQjNRYc8YG+dStcY JUIrNMdc6m5qSEWO36XNGXLN/ZrjKkZcCr+z5oN8Oa4cO8jxqZo5bZDRVUh4VXM8a+hHCiVvWsEG HkxV52NFazh7Duhb2Ix5qYigebEWfDnA3frHeY+lRAIE3+X/YoDjgbPuOqgwawkAvhSCeNbNxuTS T9ZzmE8PWRbDowhElwhdboesSdX9tyyp7yCSM6fxKFXbUrPplwsSNsMYsJJ9grw0leD0bx4Cd0Vy Y8dDayiLLROqmsdsKe7b4i2o6u8A0RQrPB31DrVO/yPiNygxChVesembc822gDnOAlf6FO502nEU ItbE4EyM6ZuRk+69RSoT+2AZGRndh55WMQYb6i7ALzZeSttxOh6V+LV5SNYYdeQouPNdd+N45DZn niJzd/11g0AFDHSZFxMK9p0VsOmXbAPFEjcTvMS7PiMwhUsav6ZfZjkVwz4X9s1v8DCZpNbKSq88 kGJQIcZYRdAPuD7V1zvdo0Zf6leEwpYg5lACMpJ8rGWyLPBrYD/CsWB0THjSjjkRntpZXUTF5Sq1 IPSYaQtCSAHZKO95giPeqw3zw2XQ5ci2o+t0eS1YvmSPlvMfZRnkdx98t2mA8ABd64gljY5f+0O0 px5Pec1R5VTiPNgghdEJlgrPqQxSP7vDXo0dtJmtqeP90QCRgaOqEt27wpqzv0KFUth0XwtaJeQ5 dejR/hEOliBmBscgJkx0gBF/nLybnTcQ6xwwOe25uqhvJIiepSDJE4ICrD/MSurrVfozreQGinSL a/tMurSZF67eavaP5tFe2G44AmkmV4WBRnOeWOW2dJ2Q1sYHMUzfnWjdSw1sJJu6+Y0fUowVqq0Q K2lcfV1v+sdb0adNWmXRoPrjCpXnMpWUyUXWCaY8r49ipi+4TCdxE4p/IUZfO1aumt4+xQcBT0dh t1WR18HGPmHp719a+JPxfWkOQjw5JnEukkqxKV6fqJPDzGrHDJvrkNy1tkX0MN6Z+Olw//0xoyyG 9SEwAH72HyUlbfM2lhwM9N6f4cr+CLxPF2At8ppy84kKN/H+2RDt520oTXKCcGFU/txd8LdCs9qG 3diwadeKrfsinlzq/W+3PUAPHvjHcwRyRb4m4Wv6J0kW7ItY1ox7z91NbPGA481MOKLtCEwm6vuk sfLsMi7+T/Hm+qsOXlQ9i8Pf9VAE9LWS2byZEwPIYDYtbLm2L09NRsMgfm6PotDA/9WaPtrx/CrM IMllkwsRz86jBnsfx1s6w2v/gxQFWv0fY8mf1WywsWC+WArpCmvfHO0WMIJtyS/B+XcdiLdfrrJ3 qeRMJy8lhDn9mvRTVYzLXtu6Fv98eAxRiP4hPmT4+kxhTz4CT4cDPP9YKhdzODoL28xWfAYFbD04 Z7nP2BAp3o1FR08u/ctwg8oxDjcRwHkmDHquzKrPjnQBKXv9IMSCNsR7asFA/JqdhHcmuKZg6PRk 6XzKLzz1/Zs3XVZ/rpAcA4yoz12/yPHmsazO+a6cgbZy7JTSwRBhRd31L/KB4M7WXzNJ4paZAsOI O5FWmQpp6eEyGGXpKkGy2qdqVRuRe0IjzwDJG6clerafsgCAj755Q2eTRVVvvRQw+G+hVjqaFu/+ m9KSJt+0hjHW1BHC4wyHN94ORPERUFukKcxOq8a3C4r5hTOZW3XWq1v7Ks4H7Zwi4AlNCGUKQ0ON VSZKVFl61F+tBDQk+IqFz1WMfzhOfRJYfalfeqp5HOOIaK9cOhXG2oYdhceL4LDJlhJPAqpAc23Z G9mCLMh7l3PvdGUWIx2s5Z4EpUsaxWTxxqD4a+cGuaZLzeV55zSCZ5qehwrwRTYvoBZE1+lOXnfi Ryt8wko4y/GJZL/NuHI8l8tJKmVjS+XqWIN5sWUs9WMNit0HB/gZfmTuuvpwP7gjFuUjS2Q+jgYC 9ppF022c89tfs59OKVOjOQ9s2b2FlXyn4zn9AXI7AYGal0MNPRsQwnnaZJiTebyHcwtZucfEnh6z 9K9skBFs29qlMPNYsFP7y8mzdNhDng3TEgYpao3SPfXwDj/CSw/ObVggf8enRTUNlDfJ+17WwDyO /ajc27MzTRLyBCCQhUYvMn80lvwSHxWDIL3xKvr2OLMoIAmgIZJG3sJMyhsOPqFxVb1Qk7NcojOn D11t84xem8WyHJRbm0pbKV40U5U40scS0H5bcMWTEfGT4W0Mt47O181hbfymq/ykV0yIpouFyaDb tUvUtKWqMknlkUxdllrfasNUWgJUfn8Cl8EV1Z3U5ABYiUNuRr5oKcdwlS7eB/n+UgV71hPGXiii tFKvLiZLXS9l/eoEDDKLm6/8OksoHEEFzRFIR8skagCp4rd4fSGbOUietH2v8ecJdTlXFP0ex7TX vh51q5DGduPDyv5nJCNInuPVn9Z9r55S/RGw+ySGAcaPEqaldHWakl5LrzE1/zI4K707/QMAGDAl HQdn4RCGxESdD4HJn35p8o9hnYl7WqaHBddVyszwX//kjQ4qJolh4qp+txlSxnSJmCs83a+aCvMk IbAnKPRH3SP74XCHOQ3bziFlRO0Q1JWSUp+e9CxVX0iTOPbgrB+wD9yT1o6m+o45pOEi4yqt1ZwB 6GRU83LP6o8j9UURxZDZ5WMgpNs4xuaPxAt+XstW7JOy51tYRnIykokiQYYg+aWP02kEZ7KL2cif /t3AkMcRC0iKXbo3c1/h2uNlHbvkqXBOZnmGMzMriXwdE44Vt7izgW2oY3N5IFwqNHPtWi9SS6yA hcD+oqiZ5YnDx8Be3R5HxKPygh4K5ePLmLR6um0pz3P8seQq1RKFP9ctf/u1v+7BlNqcdEez0X0N I4X1lXx9dw1MpdfXfG2riDistMNSEH4Rrccb4Y/8cnRL9fh3mO987Fb0uI03HcxJiExzcwHZ9dco s3vvxZTsaIGr2xmmD+LsMSI00fJFv0/mbMB3LLQfURbbNvuYtBK+fA8U8TOqSRvPYwXdCjv80svZ ecFEkHhpXJBNTWSfUIzupFvHeVSIxo1FYZEy4sS3rdwokvKAiZK3rnzY+Ryed1c8On/UbN07w7X6 m6hS6lOKjYh+wxgHNswvu8N4sknoUX7Hwp9LBuU8+T0Ca/tOrCkICtK8kD5WkMmpO6IWAXUjK4Z8 /OmRAfzuhQeScqBIQTMuw2IkQruwSdfY/2ev76Y8v5xSi/gzcXVjJ6pNWe8NhZ5pL8vuon9u8D9v ac2sfrz5UyHorqRAvNxS0nxaWXiYHYmk54FYhWXq/l06uTApLWRBji257/fX7WCJ6JtNeLLcAFYG ui6Qlw2u4ilhoM33Ba9OQD+hKXM93Ab35owHIBR48oqnZlu/gRs9B7w/mQ9P7Aq6DwyYiEy7zN6P zIrKF6PEXI2oo5vRRDZlhHjnxlG1qbQvhZImGO8R1X3muvsJ0Z9NyHew0PCSz7i9mW6rY2m1FJBl jLOuJd9a+SClV8HYSGnNlxIsBxxS4kdb8pJAiZyO1GsyFurgT9epWWxp6MeSTru98ZQ2HxuKRPAh LAyFLPqo+UCcwRFhd6SEMQhkLktq/u+ZRteg3JfitjOD93M8XsrOOZXAvc8OK94NqeYOeOIYfeiA Bh8AZZCTK3Xt4QLtJ2oyW6gLSK/gyvC1P9wVOFLK0VxRCj7UL1ENqTGIylLsQV1EDrxvDeHgkr8n +celZ0eo5oJZQc+yNrl6D8RLDaFfOndjQQuP1VMMLt/r+SCqzoIQpeaPzjqcZ5F2tDjq3vLL3JlK L72Oet2zPrANXugoDIB6V4zLM77QJB3ICXMRSw3lLKHdoVR1fOZjH7lh6OFJTtre6FJuHv34LR+w Sc62m9Wix3fNqnF2+9Qp1crzn4iR45vHd5J/GET/E8MKd44F0qOzeLFE7zgwf2+Iy6YZU0LJ7OWe z0OlZFdrPEAemSaXyLI3Wg2c7W5Ef4UaJISjZfXU+aX/CFAP3KV58g4cgEfSs9fw8iuCFLuLh3Jh GZg50idBZAseo6HiW0jDA4Nn9S03k0B9v1GqmSWPhP3YhzM/EK26PGYcgF0eivassZQFQSrc6Jil NsS91pv/HNapigSr2eVnB1wDsPbMOeAWMefmfTJEy770FLL4nJvHH23BcLXTk4vQBAncc/ypOm8W 7K8vIx4OeBmtzlz+HHoN+Ki6SGNYfqwhxJ3Iclxi79j84bg6FlZ/sJmHW3B/BcC+MY8FKzU6WOYl 4ii86/wI6/Ymwxsc/fLpXuJgVnj1G6seQpKpHtSA/+fDWnvd7+23DNdK6HfBGZ+9h1HUSEREwoXj 99Lau/2+L3cctWkmre/U6dbCrUJx+9esOM4lxm0AgWGdwsmiTdhQhm1GO9efcz3nod2wuyLOoRFB PRHCoU9xUQeiUOHk4A7KAbqWNnKmpYJRUFtQ3lyKzD1zt5ChuiYS+1trXUf0emVBc0RXJeOJM+oy pdYUCtO7HboKltA1VXkzyJrTAnuRxZ1FiBt3NN7AswsisLqFyQAuddvPGzztWsE/T1mimJzTQK+f f/Lv/B2HA5evVFXQh51vSrY2ub6y7UStyV1sLz4hRJqfnfYYtn4qKe+hiDORa9CUQSPNnR1nNwVS OkQkOe7FGwVo2tF2pgxsVaObzuNgR5W00kvbG+HZrYc/VlQXu17CoYAXyKuimeuQUX6IOYQfOtOi P/656J+ayneD3DdaM4CAxyapYpzyxTtzYw3d3BmLALR36ZccU/VhfYiHYcCtxg9XbjQuCmn0V9tm VhQXJGWmHnrfgcSUohqw+023UH3zssHKe3HoXWtNxZuFWTm8uBN+FQJWwZg5o1SnFllNmOyhtpJN XO8SRcSR9ghUC2PkIXtJSv9s4l9Gp1a1m77LFh4HZa3el3/C2W/EGR0B7R2Pzy8Y8kQnfhLd33aj x06UIZTX/x5oFzGlrD7CuvF5JKo9vOIxzToHh5kdoOD6zjUKUGJYQquc/mE0DMReySwBHVcUIpLT P0tPzMBnO/rCSMnc9ks+pckz6Kip2rnVsPX+HfAom3uAkz3m42JwY6b/bHCDef0RK/3WUac0dSKM kEYtrhwBrDcHu2UrE9D4N3TPQpPhltMcgA3rCnJNzhStxgWfSGcSOX489GY3JX51jrPQ4KLwg3Te uHo9coFgA7zxBD435Ek9ZfJZAcIO0Zt7s2uZwvFyTVmPWSIEW6daOf4f0gxbKYxTM8WdybNJXju9 AuBEu/AVDZ4+JGpSkGoI5khnH625YEMjmDdM7yC1jJKKFINwCI4JiWEAl64hmuHGoqBCRVIgMBYp hCwZyPZsI1RVFT2dRHGrlaHOioCJ4s9qfl+jXm7NnHKSvxNcZuT+Ubv1PiLUCoGFG+sBAEE7OLIx 156yyQxHYKvnmGVKdSv1JDcqFOBTX70OTB59UidJY5m6HfaEtJa2TRtYd9dfiLW4T+bJCNByHVNJ BP5PQ906S6hbtLHGTio7Jc/IK25r925Vil9Q71uHrIoeIOuJxTU2THyuDb8th3jMJAWZ28arIcD1 7zvWma3Osergrj5anOk44hmyfHWNmtZzWfjZ8g2mz5sCZf2xhx1wqFFUm2rP++JnqWZWqJpie9P/ FaUflE91AeT0nPFGzJobKS7vxP3YCIxqDXb4W+GNrbrMzqJv62IjXU/5VT55UrYBObNBKr5pNuPp nl5/A4Sckp8yUP4cXgns9z450Dg8dC2rJeiALt5KoIAI0mqVyz6dmncs3964qm5zvqkhfspebtxv +/5/HLRk1pKJC/0BEIG3U8PblJ4S3qWAR1ocDE72mQpK1S8J2OpVtmNPWqj+Q8XxAKeFhxNgDseh 3Ys+1h4JfwdhkuL1WuvUWRmr43qJQgrAU1dsla9XqNHMblQy5XDeZddFiARAWW3wQ5mQedn8mA5U VcD6AFj0+myr/qmfSW0WZomoAlWRHZR8ww60cUN+wUjqZnXcQrMta/v0wrgmsv3Gm8XyHnb593L7 eG4J4D9wit4Xzo8ICB6DhsQ+QOfSpMQ+Uks7P55CB0dzcg3FIehDZWZfWj4jNvAY1gUscTVyYm20 ltt13qwaUWOMqO2BXOxzc3jQ7Wi51nA9iG29RjBhvOs8SIEWaroBNDKCGcQ3HvQk5wLRSMiGq6If A/12iSm/sYD052pbIGYML2/C6RhJW3M52SyyIXliJtXn3B/si0AgHYfzqT0vXPlxQANLqtU76Uyl JwP32T30MRjAm6qMdCDKPfadIidlWtpiNS/lxnet2Fgcu2RTx9pSlm5DVmFbm0VH38okdGyJDSIF p+FEprQ9eDPqoUzNbjd4QlY9bph/Q/CVR7m8dBAbCFdT7pbH6Wdwk7LdzgRhdtDP9jIsKTNNte1q GMvooCehfU4GiCw5Aa6s4ZZbQSVYuhRYgOHzovGzq1+5wOo7N2JA8vlRYSwwjVyUb2rqq7iWsbg+ JuJapgIlHZCoOngniStpVBvML3CdjisUnPZs7sdb7aLtZRCI8TsyQed5VNTTOv4NXqNYWssW/xWq 6f3VNQFk/gh7GyMyJ3d38QobBhLCLY4hmDK8JEZCWxIL9DN0kaLLviNG2wWKwZL2cD0vxQK+D5M6 PEIAaggXEQmwA138Km55S7ojd/DGbrMb9D+Sj/6WEvXGOXlRpGpFQu+ha0Zx9dB76EhCiH5bYq8w bqILWA9l62keHeCH4BpTHJg8hCuBw91g8KmUfdeZqhZBGmg+jggKMotw4SoSSGVLhK21Ezgu6kSH xJ58XYzSKRTRJwiPKrAW/4WoTYupBxtoBdz+SqQ84ip6iqZT0q/H92SSDYacziEwJ3uB05PxUTio eQqXesLnKDT7FS0PXWpbQ6ZqpzZuwWNroQXXNu1J8npgWoFeQMl5AlAUYOaByxJ9IkIGyYOKvYWA OgomT6uFDSlbXupq1moQTu5MMxn/ZMWnYIjBUqki5h/yxrMoUH85oCigWxdSG6HkE/Dlp5CORbr6 gSgkUnNa61GlwM8WyTdTAlnPRGGVdb1X4S8CEW5ZGHUyn/oCYY1HKlwtLQyyQeVplakXQCvrJ6kQ Bg4uyIJgb9c+RoZytzND3ph+muOAgedD8oFvvTx3sNPkT//7bqD5QROXfB/CNgx/tsm0OEgPUtyx ftKJXDzA7GJhHQNybc4wtemLWBnKgjvyPxxbdEyRdD4wobPkbKzOOTeAMstEFoqr0Y8H7QhkUQam 2jDhUkqJ284W1O4H/XuuB/Vl/qvyU9hoJQcPCgaBGFdq4QRDbpDlmpqlxXrXaHZlgWffJAnQn8Fv sk4H4Ea0/WjIO8ifNl6SfybYK/5oIAIgUi2Nk8KE1m8gnJUPMXSYWsAeYkR6ybc3C9yJj6NzwSUW CqJJugNELmiv6J9VPA9PaGQ64c+3pm+cpyDNDHQ1vY1qvj3nEgqx5n0Y39nCsQImiPV/Sg9yh2Bk HQ4ZMwhLI+nFwK0OZ/zkh4odiDsOBE3M+kMnlZ5BJmXK2t+A59T7AvwpyVEVogCrqtbogq7EyP2R /KoZIKfyE5vXtjndlUyZjAiNgpjTc1VakSJb07v4Jnou0T2uuBBVLBE8e5fRknL4orW7nwiNGR3A FjSKy2+CMPD486jawdbxAbwfChXyeCLhOttQScZ5/UuJXKibAEIiWMO0zwi6h0787UrxLIJuioc4 nULkOdY/JKeviefRwjlnZY4q5i8h1F/oMT/HYeWGqrroYovXKcnUxbMWZD+jaopXwpKIKwV/u7gL ICCVqIDSf8Gom4lbOw1ZcRZKLSyvneRHTfAaqVZivhe1m/wTbLuvizyo5v0fH7nNqAzAgtH7oirl O09aUTNKpDm720Ay5sPItAEz0pFiZQIRDfWGCHCuuGaXZG0xuyl8ShQxJz/9BEeMVCPhZnOaNv8X bNe0t7omyZMkSFNPR4U3evzcLjcuK7VEZZdMkX6tka5B3C4bRACtFyOeQCt79Xrriwjp3eDw8Yxl i4ZnF2nnIzXhArnO3TFIuhZXD15yn9vVT16wMxV0rkzQ2P+1+g1u7aeDNwRT2xaUvdsFLGr61RsA krrBB/uXlnDPWrMSIoSOLSTC16X9VfDFq7XtK2uA0BmKK5FJeWOI1ArralXwFlj8KdxJ0L25ro4p IZhykME1I9BoKS3TjfbTDmfX1WVooDH5YBhsp3fnJjyZm0vZ9V7nsz7eC/en9E7r62uh+MrQsnxQ HEOfnD5I5vsCo4FmTwA6lhGbUO5+59ZQ6busQ3Da/4/gKfWPi7Rx+7Y3AL2HiXlvnKxN32bezNjp dYjFYXVPdjaFpz0GrP3APSdp3La8UFzXbVhLuwuv0mDPBPScpRdDo2G0X7gso054AFVY6n9p8tdd 5zYfJhmIvj/NqUn/wjbA1Ptn5IjIafceDKqCWE+o9brGUJBbmYQvsYtD4pa83lH8uoKqIULDiSXg 6yxJwmM59viy5qkaOJYrzsWg3wlO+PCkAvqg5HpLKFZUsQIYlmnRFiU2siCw5xh8Lv91KTWQE26H JygYAC9Di3Fuj9L52dCNMgbtOCerVWI4RqUpIFnC+F3fY0d0urDChvfCB4v5ZfmHK7UQWuUl5DRA Ncjw2/e3pwmVbyls0YUVrzdizPbhlKDJX7xzvC4K10nrAjnG++RxySdAOFZXubgPzTr62JQtSXmW IIqO1vKeYP7Zb22j7YH/bXfT/F5cufY3ai23D7tEwC0XTRPsjTnkyjrFZDKy7H4jtCHGqFDihiKn lzcjRj0nxDEydN0T3XZVLw1ckchidFI80LIRUz5/80zPxLB32RudBu90cckCuB1n8lnmLPij/zE+ aucm3Kwj0LLI/ESxyT4RR0eJrEyPbq9hWnKrwAbHzhPaF+fffQmkrsUci95u/+x5LJP6G4/zY5ZU 42fBuiz8uxbweZF5KyivG516l+EjFp1oi1B96wKupMTLWNO5UC4Axpffk4EKZEEns0gYRwpJIJRE k8wuG63EMGWNSCTG/RO5z9NxoZktD7g60co/R42CBfts1WLyi+ow7jHsNlPv2xDWQd26f9hJIG0e TVk9W8+8PqEnJMnsgKAfDu8qnlNGOsOHkqE+0aqrtum7PjdweTcx62yaHJffKPA9+xi5XkwSw90Q gvLoWjJpXh3ptwi4hIt+bp5SLcz1MgCE3s+B9GMkZp6eji4CZRJ4Y8HsDzXziQLOBcJQbavNtaQc TKFoacbgnSmdbaLo6XIalSOZIEQbh87hhxV6K+UWL1flpVWVAsJlAajEXmi7Y1H97PKK4PzSN+fr yJifROBUNzCVFwmnra+Zipb4E5Lcxyic9aLP4yppTbb/i3T4qOrnXLKwuSrhJXSCcTyIRNfCOFlv XN7teOJs72V0dh9L2Cz+VbtkRX0l6NYasCjX5gO0C9MmgYx+KYUX4dFrpHbbUVI/aeFPSRXeqpDp Bj9ql3XKb0y+qM3C+ISe74cIUmyZPAsxtspP4l5ZqJ+0B83nubj14d/NJVghYmn7MX91fvjVASmN lHcGwVvjoBHip3wjmlEjH6SoXc9kZSi06Y86jAP1G1cetsxKKdscQvvIUgoMDbTIh6hwcJVeWzdL FeU4QV/2aGp2kibI09y/XFAZ2mNG6KrztPsjXWq3ds8FwxjebgVCba+YBkr11MEoN8SQGoQunHoR wD0amqgzGzavEsdYCJ8t2cCLE6pF55bmrf4hm3BUaEi+H93IC5sJ2FrXcBTJB34BRd3BWFA4sQn8 EHoI6sWL/HNvZS+gmk9tJxOpZdOlBmBvL7QUxs9O7HcdiJgqyWSO2WiYWifPywrmOTezB/3RbwAO kCUo352IbRcj3TrkIOubd3/438v4D7Ft3DhuapnoCgB3AiCh5BOxLotQ9OLv93+EDKzj/zShPRlD D59DjxgDs4Iu+g15WT/OKtcR3zlU4vfTWVU8Pr0Rrd9q336s3AfGKPsXXriQ6NZ9n9r5uEGts4dA CYsfvUEE6TTkT7HDGNd88HhGc9mYTrvIYqnxNJ2Dfxdy3D6py5NGKwO6Z/oHkj6jB0bWGX/iwhbN OZ8Kc2Y/JJdWFNMlOGHs+2mgWXt6E5z02EvayLNFqqXbzAWxSJ4gVWUkRW1w4X6kYXnUfn/uK9T8 fyhoOAFAK7KnWzDARKpQjPRv4cyZKWEU8ND2VGBYHHhelKiwkDMuKr8qCOHoiTY9LsSSTJ0y3Om5 zPbN4R4hd7Ki1teS5VRo9DgtjemIkmKBmt9AVyH8O7supJ4F7fWQI9zIGnoUPi2/DYYul6u+5iWT Nnlokkjfdc4WCCICsJu4zYJ/8oFwpYBTtAunbPpcyXF/jj8BGbtrurRFhOc9OHpTS5riE7CjTD41 SMNvyBkzXhdBL7s9fFTUr2SwP/m/pdiYt1Y8+cPm/1EIyP5d5UbuPMKsZl3LDwWXCMnKi/h3PD2z CGJbKmdAx1uch5biRyNx6w3CCPCangeKeYwHKLHU3QjsWtCBfoAkwR+YArHSuJu8Xvtd34qhtsiL s3yC9fez7iMXGfqasfXLzwl/T1pnQLZ2q5XYcSmbjHxP/9A27xwKycajveYOqzAvM3CRfiZE8eY6 nI0NQlJ53WwU2oTg26Z6QRQe3XHyzBwou5E1nBjHU2cxdKlVp9DtJEqKHiY19jXJ15FW+qthh9G3 7MbDqD0hJC4kwh8UFZkjzWYM6JzvLGwdsQBfme8bOryRIVZ67tt4bFVVLM9FXD4pW0GJ6ORp8Tdi 4nJ6S3aD+mYkO9ofUAzhp1lc820p3nSEDgqvhWKK+V8arvQArAOVqlMsfcrxjTAftF+gupUsk4Uu x+TuA+NA2OPMbOvrKHF/9q/bRDZFWAK1pqkR/ayn+Hr9aqdjxKLKLgWR5GJILTb6RvYPQ7C4/P9u ORGmHF3yzCa8y0jOFH93CrTEfxSjBF0EiTlKkF8k/2JU0TKPm5zvg6slp2L/EEy0ydkfd2uVivJM qWFaC71OR8sCvnHywV9Rqc/3Z5M2hIVDYOyota7W0D+EpXlGCDVDQTpNeGWmOLMqNfWr9mWdkNpv GYuGydcdMKsPCIlXc1LGOaspNv21aHliav8RjakyVwcswmUhf4ZBHyByl3pyxgpm9fvfdXUC4KzO tu4VTi7sGKg3DdJhVLw6k/2u2icZUQJBG06UWsOYro6lLEAa68zHBoXCTBDX1LdBbB0EpvjZGyiV uRE+GXFmHrA/q8FCObD20V/4gXKXk96VrBgMlOCPfO4TJLu2BNdhasrxouG2R9Tf4ha3DpYB5Wuc u0SGgldtDs6NlsmbqCFk10eYfWxWmYr7FmwhHlxzl9F8T97rG2QylnqUtYMDx5M9tA9+oLYxWA8y A61+YQeWWM79SjgKWslaAG554is4whtWWKHUsHr1n7NYjd26Xge/QVwVvSQh2RwbfymuNEN/70nO f5l1YSAhk1y/G3FFQ3eccWGONkdgA9dS9HZQR7SD++bYaL7Y31aVlOxtswK1jcHpFCTFWeChLhpk DhoqBem38sM9At8UHDlWF7FnNAdhktmFUDxRIqNrYrFlhR5Ay5crXOKjDrTyb8zQYmAalRw+P3dt 9fkWxL2T6HAMYBjUAvwxPOx3FXGcW7dkxacjYVhZ47bVwupVqkgXiYkIDfmm9tjzFNPCQnIDtgPR 22s3BLR4rzfdd1W6ClCfGZ33+Lcvtdd9Ki+ToBL4StuX9+m9nY0eq/rislQWncvUWRVJfHsBK+JW b3dfPRlF4ThV5RejfaAqeMycTNOLFrA8X+xl3fZkznaeVNrgkR4kwoDX2c2Y4oUWRxg5an9f6XME h5UtbZe1NWmkPyew4JFdfnNc+OItFmUqcl4XQxzLtu/yeQzsZyPgKfKbrZliJk7r5SqcKVjI+1/u BssgQeOwTpFRPsa2skTlRCvfxpFwBXYQOkncuApZXm3H9ImD8i99TkdhAZ8NWgiMGx7rV2J3CCI5 HsIp3c31R1wqeIc8490LHA9lTaqll7qbFAsnlPCl3H4sik7s8zflMICkU+efqDw7eZ8f6rqVVVmh MVUYBnN97fby00WKxxnfX/5ZjKDrN6aiFvfS8tCxuEgaYRk9kmkIXugVN6NzveA3HqSOhYMhKGKe JFqOwIO7XaEuFPVFmRdwDreq6VIIsQvspti8FGzLp515iW3yBgfqUPz9yQyIEyzKSjfIuGcnc+Nl 53FjdgfO8sHjhl27ZrqtLlZXmHNt1QTIbla6eWi4A+ANmMq1Y82B1nJa/3DKWjO8O8ikeS55lE9/ rBW33a5rSwc91N8sK9MH9ltCWqCHzi9hh4nLPXYs0p63Ba1BX2BTEdHAMiV/ok7Gk3mE/xrbysXB OsHxm/PTXLq1Oruj9e0Flq22LadcL1O/ORC4JSBOiiuM9gr4TqV/gDQtqKIIrYkM54hiOOsqqolt 2A0D6WDStP4Izq+kNwgo0WAOXA+JYOGHTHHRtkjSjMynoG6G7DtSNojNuPwXQEGyf2gtzfNWlyT2 XjOd44j92KD+xypnrDyiuuF5/HDY/EZqe/gEX7eB0n+d8POCNdlF0wY1m7sTcWRKbBWi+C4uj5nC B0jFvqs+NEuIq0GN2tFo+Ec5OXuEP6EMYQGl1ODp7STVcqPqpma0n1YREle+zk8moNQW89cr0XwL fAAaYcVNtR8pt2SOPnBu1ud25wfn1rf7gqp26RjKDz3HUT95C5RC584NThsfxQKdq5N1R+TRBfbA LnMrcp9/gs2ZbcUq1Csl0IU5KbrWEzyG2Jkhrv1u0ZtToppSSSL0i8x5a5XjjkFQH6v5b2FdX7IJ vboF3oVcuM4hjOKvru6TxveJKkRXAKn3T85gpZ6tqn9lWwIB3/VBbRBTulbAycK2aXgR41wbOmXg QNMq39AVJRBU+wOnxXZr7+37NKgMNnKWvvc09ArGGJLv+Z8L4TP45esWft8psoczuZxBQjOBePHz HnfM9/zkXAix763TqxsfjxCJJO/wC44vt7vQdUsZyVRYVoOgvnWad7bYV0tAORl3NjzUYDu/7Obu WqBkovNas0ezzlTAzKuzlo5uxBonTn05kRcFsil3TfNLmAyO1pvn7UxNpbytHH9aAgi8kx5iyHjI icVFxq6wt3jZ68/S36AKm2Naq1kZva+2TmU9hiSPQVVKpE2EnC2j51C+g2m9/apvF9lg1PQG/Omn 0IjWfrKAvR5i1MY4FRtksBpFRmm6vTYYcgXQohY4UYylbtw4v0ehzx2zWObmMXQkKwMRPi4tmoh+ q3pjDIws47VK8TWzDXuBY0GVQ0cty4xAUtzKd+NMYMqlzZxnAFEpu6jhaQq6w1LzfqWZnbl+1Ext 1NJJzOnKdPXbHlTD1DVoKPiK/9lF6jsvBmrphNXTr5s5JCLeqR0pENXQjtbZJZg8NpqEJzpiEEPC MgiDFdPFY617TuVFl7NyyUehhnBo58hv4nU58I05y3YgWZ9eB7j2Pa2tlFhqo2b0bV3Wu38WzmBg wJMu3+aKl2WkH9KRNkmt3gjDQSDG05gGaXl/6YKShvF8dfZ1sKiXXldXHqPH3Mk9TovBoyQdLGFK HW4NxnjJDBIar/Qq9w8/gIlFAfiM1EG3D7XH7YhK+8OVXS0edGuuj2qsHaOAdp4HX4qWum5KqRvF vYpmT1YLBHzUJ+tE/5oZUkk9cVP1/KO44APxW6dKTmbGj5HlMhR/DdeK+cRGlMAjFo9BcDdL2k+j OaREG08x4yWQ/7Z94F/jlNUQeZiO+ccDNPVjmqNk+k3t5xtANrk8PesyWIs6/kziY/mEC9ozlx4a J23X7ajw1HBSchZGBr0STwWoLZSz8yY3wfaqmO6j3ofzFeT778MV5efqiZKdOJqNjvQjOqEBpS1O gRPjdQN14G+vee50c7cOmWF8rpUErCEJbtRotTUsZ1zewOs6b1ALGrpT8dZ7zi/2SWKsmn+AvAKN 4PzVI+0fJEqfYc9vuaTwPNb6o6rFvfbpGw5MOBCYUZ9XqywtiyzSlRNbECgj59v3X8GN2OOZmElV V87n29XnqTND0Rb3EprztQeoMLMHFSKVPMkPzbdyOPMsDU2rr+tkD/sHPQpIDze3cIoQiT9PRrQF 35sD0nRiWngPOc4VxIJE9h2ITen07Rn1PQy31vcOVn0HCYBHpZa2fiJ4lU1YRVzyVZfuGDldE0tA skEDnkOA3QtsbofmeNZIG8H5jD4vdXW+tk1Gb7facgTCLt2aL5K/zXEQ348EZTSFTgIxNeSi0JJS 6jGYW4/Ye3FLPeUuy+ZrFF8+ZAy8lp5WaiFO6xYQrRrR2K1Qu6faPBUD+RQSF9rtKHwSwLZyFOYW A+VYQUUyNadoSx8tx9Ll4d9XBdOoDxHEgHd4nQ+N/GnZpOlxmoTK2U4z2TRFQdUJpFLAje2x7Zhy /tyEc0VZ721GQ7VdIjevzlyYrZla2Mol3eELzY1wJrFGa/22gh5HN6pPvoMAUg/qLk46b5E6CrIE VLetU/uLZZf1MMviF+iyKXWtJol1MUbHOVUGFrUb64eYirmuP5WylzxyRZs9lL7y1Uj9xeBJW13F CnSMn9Z9szQVCtYNzdvgJN0h9C2zF60bGErQO9IVjG6ZajTfZttjNP3gB/dUunKBtjPwd6CSQDF5 9MRc9x2CAQkWj9oiFFZLLykegY2erht7tHrduDP6OUvsxynJNUOlhJb74k4Zha5aTl7appcs527a IpIy+01oKZ7bpLDDvRDpT8aooRVVg/63KQWJpg/ZjfE+i2dpeaOlVHUcXr3WFkQuT62enDNFs6kr m7TpDBlr4U3x0IRGnE2zburjcZJ5w/MLyt9d+Pc= `protect end_protected
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_bram_ctrl_0_0/fifo_generator_v11_0/ramfifo/wr_status_flags_as.vhd
19
20484
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block iisr0ydwFOm3eepmhOYSaxO3flYpViRsLN97vKyw+ai+x1TubmaH8qRRwK/QFeVsjlGTFdxookcr olQwv0bmdw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block dJvTzz+PoD3n2Ot9SgKfpEhIshJxklhDhS1tYcrcmprfs5wN+lN+5Y+o9jEEql61IqDkJEIGu0xp zaDWEeMqwkFuovmZnp/AnbrHb7R/19zPRtwSyZ8+VQRLsRMgscwutXu29fTUST6Ribitutae85tQ 1okc5mYK0mcSMIggcMg= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block ZijKIWnBSOuwn6R4ZrzJp1qaSPGZMrP8GTp+SV+Sn9xEivGxLJtGM40xMLXxiYuxIopDD/A1usG6 HkSoNT6OzxHJWKkUEyyVzrZuJdNHJ5q3s3y5LSNY7eMxN9lY4/gygh7aVIBAO9YWzsWu3HLtrHA5 2vsUFQxQdkG5OTLVP1rH68P4j/dhqr/LVHw+9H76c/knGyalpHLRC7tnHQcfuezFJWlkzaNGHfUo b5cE1YTvtdlZVmw2sVG/GbXIRi5fq3+Okdy+JgckZ4dVWbI20rfa9LkI09/kwD3anyrnovVQVx9h F0AxolVKVVyWNAaSu1fvXllqzrdJiRLbdnsq0Q== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block LUajPw/jRTLlmEKb+9YylQ2jxw4jlSx/1GGaY1wFfWFdMwK2p0xvQMjui8K3EqJF0fnb3QNWuQDl 1vTtf04vcOAHkfRCeW7Mbp8qeUTtAsflGIPJDxHfVU8ZKprwANsENc8LVrpJ0WnjDFQIzJw7LDqc Jj2TofWjKprdxXsMnu4= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block KG6kiSPrd66zvVpG96eKD+783ebVLVFNF7pXgq+rCyBBRoa0N9Hp3DIWK5125mkICodI82zuSq6k C8aCiPbDiv4tiuIn19WDNNPL4ncknL0KLZTLAkq0BIQIsnFNRaZegM9aXOdMYGKYLpnjSD9KRWRt WPXPZfwprSu2D7PeDZMiij3MY+cixttgVmNfcx9Kkmvg+1B5sTSDTVs3fqpJBBO1YslTmxyJAIC6 uDuGqvQ1138z6f4f+f8vMXratK1Ypo3jPPb4FTNLYJio5Vd1Nbpl9kRRtj801Ie0GGhbggK6IXJx 785o6wX6g3tRyoHXGJ4DGUmWlIHATg0KIAflYw== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 13424) `protect data_block rEtV4Bm3SmvVbKq1runp2SaaO1GImraXNQnz2t97NClVhlTBGZ14v+hHArmsTHZNME/QWduIEcCL I8GdWPb/f0NXI5m0D8vUM2MFHCnzTFi82f0pjwFGBVpM7cHKBa5QRX5K/e5A/9KwgbwYV1tKqTXG aWyx6JRfuzQINO3rQqM+n/1b6LSLygDM1QuiPthpMFKV8IfsVkaLDVqcLxH9/n7C64aisv1xK+OH WhYRETSZok8+gbvdGdr2+VsE64ALl3DavNBK4S7IOGP5YtXviHmw+Qb/lvl6m+RggRYmTe1A6B5r pghgGDxK2gS0ItU55quFmZMEuEH+bwLuaJA0/UWR19oWnbcTZnsCqEeN/xbKUzS6blm1K6RPZtYe WSGhjFl0cKHEQe9DfEazTm6tS9mJ55lLbSuwE5o03LDGRapxUdSR0IiKy5C5UP4genzVw3zearva qPWmPeGZcAEyFioI2o4OWQP+8mFdbza1kBOuw4BP76P2c+ij6wbxXAWVxtNmL8f6AgS1AV5SqIO0 ftTCve0JloVh9kpHsbXE1TS45+y0IuiC0N3a8PAEsXa/tnLsnAydpsXIQwMLXmgKfoXKzabAHHdI XZJd/NxD7+xY3aINMVaO5eSSLIdjkYZIeqm6qf+x2eNd9v2nue3I9rjHkjMBIty9wqDCI5HznV19 h0aPmdRn9t7Ft5xXq0GXqSl2I9ZROoM4hg3RU6TCVY4IaDkErgP5cMhIwuHsntmeWvsvkZFygQtU 9TUaf90O9HINFkrdIHf0ZCgtCgUw6ffQNPAkw/6MaoKxm9wdczGi3ur+eyRvSLy7+LQX/dOqvXKM 9UFNjkQk392HWfkT8aaXacuJgFT4hmoEXDGY+tSqQrQRrPmelj+ksf3PcI2r64RSTjiR+9HNqWqJ jPJio2xgGdQdGrH+UewLz0ySmNDYmqxIdyqKfv/B1BYMUpGd+l0eRCp0RwjP6nt7MKkBishuJTL2 2kpCGDQ4HELrlovnj0dMihRpFZAIpY55DfNVE2hnbkHthyDrEXapmovyPqDFel+HKDdimVyeM8CR DKl0D2+OZK8XWAiVk9Ve6w0rONvwf/XvaAkgxa3rDJQo/8g8oiGRq4ku5l3OZUKrPVRcjVNCxHRq 81RLF34Ztt0FyGvWgFBPXPwl/QfIQcetnIv8BBHDyYvjjUEJZxJ0yVIBqSipzmyIn34Kt0GvhgJJ oXsivJz4IQp2WiLYnKzv7NuBWYnOF+M/H8eFTLS7ynV/b0CRf7qayeeaKYL0uv9mUeXbILs7F9+8 XkemV9ihHFfHS04009LEbIzG2O13pEZ78n4YAi47TmCv22T8/Ve6sSAGowqE6FfeksCmQ1+Z98YQ uXIyCDvF0dlGJwZxogjNRbjyCBj6OOagNPhSW71GcVdRv5XSPoZsF68V4hWQeNb+itDo7ZPtZJoJ YzLjFDCWp+2G5a8+OtWGetlJNejx9rEDOQvPXNhCi9xzzzSvIevRpnt9XX8uVwzzSJnKhI91LgRg ID2cjEMis7S70eKGvR2/KBOhU/KAbsgGALtSpbd8HPFqo4CWuxEHCYImqvt7m+vI7jIEpXbwjtx8 QWNgKL8RNSViXrcj5CsXvOI28Nk2V+GZ8jr1/8I4R/Yns4Xfj1TTWzVeNCNHbazn1nufigCGV4Vl qtDHRGZpM2GzgWRsMj5tsZldV3pp52C/Dpr/92KUqWKMf/mZbYDJL1X0X2Tw7iboFgBgx1miq+ht zrLMfkmBPAPakC7uTHv8wdz7HICGyvCct17zvGp/b+9c5KI7lCBCd9jn5PTW35q5ksO4eC9R2AqE 0xJmD9GKB17q8Jk7vlAMs/IJV9rgMDnRfyFkOl4hl2S45SaIY1ObTSNIHJYg+rp/nN6BMaWKrR+7 O6t2IjDTrKFkfrU0cMF3G7EiQSf6RI1d8iyqNJLJJ3fbFhF7XLnn/CwlkZ/03Hwn1nJocabXwbc2 9Q6RrzrxLCWMZVoXaUEBQvapxENHsyZOrmSevUQnuCknCx9Eh/GwdP2bYVHxXWg7ySdjQnVMtR4v qT7n0yJuHI0ite3a92Oo/MBdlgCwEcxfvgz0ILRIK4wFe098lGOX0tVEsLdEUijEAeQR38bksd9a fuwZzPBvMZQ+FON4CQYrDg971r8Qz89ArQjVxWF7TdD0Oaq9vaUrLocNzIw9AcIy8rWaQnwTR/K0 PsXLapKx1fOSZnuztuMHoRXGaqZVlZJGs22/GiJA9y/IBflmF5GNFnRUbXVT8r+FfMb7zIr8eP+b OcPNp6F4kqt/b8gae/9JOIopCuWXpu5kDe0U5aC2qmvMuYbNI88aUx34i3WHd8NWKNbdtGDaQ8nM iyuSX4j7EgwTOuBR/iFM7rZAATM59ZFv+9wRq8hbXVvfsBp13upya8YovLN1O9OWrzxUWym9ZPN1 mDhMT1YgOqVRaJ2ADyjP98UghsOXt6ybu9jGeEndP5T4mZjxZp82OMxqqS6VolaMbGRNPa271n87 65g6Q9l7RYtOL1PjdBOlgNpUdYZwxJ2EGgI1wPnrnuUiZ7sdhpuFkhJDdh2mHYlIUZHAsriLKEHR XOdtU+Desuf1ojV6OryxMP052nRo3DfSj5+dKgSFWVXGLiS4Q5dQxDHIvUugnqZqf+FK5inrMME5 1eHWMPkrqY3H9syJMZ7RM9SwYc/zjL9fOqr9mE+npGx50NODLrgb0FydLIXRotOtI+YSbZHKzsKt xoZNcJJ4GasWF69GNvRenQ3kp1eh71xjJw5a0KZmhsJJXThZLqSzb/sTisTU8jCaMh6S6ag0knK7 jonbXo+dctsmQfLpvLXHN4TNqJnY6alIH0HnsTz7EklgiqvaLbFn+25uUJSNDHESZG2BaAtNvG/4 WuvQCSLWeuJpsrPd+06Bzmmnlvn9InJZhGDVhnZlfj7Kh2PolkMjpLgzqH4f9hm/7zH7o7msjyvZ Rj/JnTghr2ou7m5Ayp5K+yFEUt/y9WWmqXlKOpf12P8RITbx8ILm1kWRqB8L+xfF1r2HXt+av43O pyKFj4Kq1FZckfpg2It+beWX2P825O6hDubEjA2RyF/zyyc3lMSS7vtAQMEOEJnWNslP5r0po6TK F5+Ikch7kOxVShNh4LWWzwFtJb9SBv0iFIezeCGrgApE2blMwedVwOdpPdPvsQjNRYc8YG+dStcY JUIrNMdc6m5qSEWO36XNGXLN/ZrjKkZcCr+z5oN8Oa4cO8jxqZo5bZDRVUh4VXM8a+hHCiVvWsEG HkxV52NFazh7Duhb2Ix5qYigebEWfDnA3frHeY+lRAIE3+X/YoDjgbPuOqgwawkAvhSCeNbNxuTS T9ZzmE8PWRbDowhElwhdboesSdX9tyyp7yCSM6fxKFXbUrPplwsSNsMYsJJ9grw0leD0bx4Cd0Vy Y8dDayiLLROqmsdsKe7b4i2o6u8A0RQrPB31DrVO/yPiNygxChVesembc822gDnOAlf6FO502nEU ItbE4EyM6ZuRk+69RSoT+2AZGRndh55WMQYb6i7ALzZeSttxOh6V+LV5SNYYdeQouPNdd+N45DZn niJzd/11g0AFDHSZFxMK9p0VsOmXbAPFEjcTvMS7PiMwhUsav6ZfZjkVwz4X9s1v8DCZpNbKSq88 kGJQIcZYRdAPuD7V1zvdo0Zf6leEwpYg5lACMpJ8rGWyLPBrYD/CsWB0THjSjjkRntpZXUTF5Sq1 IPSYaQtCSAHZKO95giPeqw3zw2XQ5ci2o+t0eS1YvmSPlvMfZRnkdx98t2mA8ABd64gljY5f+0O0 px5Pec1R5VTiPNgghdEJlgrPqQxSP7vDXo0dtJmtqeP90QCRgaOqEt27wpqzv0KFUth0XwtaJeQ5 dejR/hEOliBmBscgJkx0gBF/nLybnTcQ6xwwOe25uqhvJIiepSDJE4ICrD/MSurrVfozreQGinSL a/tMurSZF67eavaP5tFe2G44AmkmV4WBRnOeWOW2dJ2Q1sYHMUzfnWjdSw1sJJu6+Y0fUowVqq0Q K2lcfV1v+sdb0adNWmXRoPrjCpXnMpWUyUXWCaY8r49ipi+4TCdxE4p/IUZfO1aumt4+xQcBT0dh t1WR18HGPmHp719a+JPxfWkOQjw5JnEukkqxKV6fqJPDzGrHDJvrkNy1tkX0MN6Z+Olw//0xoyyG 9SEwAH72HyUlbfM2lhwM9N6f4cr+CLxPF2At8ppy84kKN/H+2RDt520oTXKCcGFU/txd8LdCs9qG 3diwadeKrfsinlzq/W+3PUAPHvjHcwRyRb4m4Wv6J0kW7ItY1ox7z91NbPGA481MOKLtCEwm6vuk sfLsMi7+T/Hm+qsOXlQ9i8Pf9VAE9LWS2byZEwPIYDYtbLm2L09NRsMgfm6PotDA/9WaPtrx/CrM IMllkwsRz86jBnsfx1s6w2v/gxQFWv0fY8mf1WywsWC+WArpCmvfHO0WMIJtyS/B+XcdiLdfrrJ3 qeRMJy8lhDn9mvRTVYzLXtu6Fv98eAxRiP4hPmT4+kxhTz4CT4cDPP9YKhdzODoL28xWfAYFbD04 Z7nP2BAp3o1FR08u/ctwg8oxDjcRwHkmDHquzKrPjnQBKXv9IMSCNsR7asFA/JqdhHcmuKZg6PRk 6XzKLzz1/Zs3XVZ/rpAcA4yoz12/yPHmsazO+a6cgbZy7JTSwRBhRd31L/KB4M7WXzNJ4paZAsOI O5FWmQpp6eEyGGXpKkGy2qdqVRuRe0IjzwDJG6clerafsgCAj755Q2eTRVVvvRQw+G+hVjqaFu/+ m9KSJt+0hjHW1BHC4wyHN94ORPERUFukKcxOq8a3C4r5hTOZW3XWq1v7Ks4H7Zwi4AlNCGUKQ0ON VSZKVFl61F+tBDQk+IqFz1WMfzhOfRJYfalfeqp5HOOIaK9cOhXG2oYdhceL4LDJlhJPAqpAc23Z G9mCLMh7l3PvdGUWIx2s5Z4EpUsaxWTxxqD4a+cGuaZLzeV55zSCZ5qehwrwRTYvoBZE1+lOXnfi Ryt8wko4y/GJZL/NuHI8l8tJKmVjS+XqWIN5sWUs9WMNit0HB/gZfmTuuvpwP7gjFuUjS2Q+jgYC 9ppF022c89tfs59OKVOjOQ9s2b2FlXyn4zn9AXI7AYGal0MNPRsQwnnaZJiTebyHcwtZucfEnh6z 9K9skBFs29qlMPNYsFP7y8mzdNhDng3TEgYpao3SPfXwDj/CSw/ObVggf8enRTUNlDfJ+17WwDyO /ajc27MzTRLyBCCQhUYvMn80lvwSHxWDIL3xKvr2OLMoIAmgIZJG3sJMyhsOPqFxVb1Qk7NcojOn D11t84xem8WyHJRbm0pbKV40U5U40scS0H5bcMWTEfGT4W0Mt47O181hbfymq/ykV0yIpouFyaDb tUvUtKWqMknlkUxdllrfasNUWgJUfn8Cl8EV1Z3U5ABYiUNuRr5oKcdwlS7eB/n+UgV71hPGXiii tFKvLiZLXS9l/eoEDDKLm6/8OksoHEEFzRFIR8skagCp4rd4fSGbOUietH2v8ecJdTlXFP0ex7TX vh51q5DGduPDyv5nJCNInuPVn9Z9r55S/RGw+ySGAcaPEqaldHWakl5LrzE1/zI4K707/QMAGDAl HQdn4RCGxESdD4HJn35p8o9hnYl7WqaHBddVyszwX//kjQ4qJolh4qp+txlSxnSJmCs83a+aCvMk IbAnKPRH3SP74XCHOQ3bziFlRO0Q1JWSUp+e9CxVX0iTOPbgrB+wD9yT1o6m+o45pOEi4yqt1ZwB 6GRU83LP6o8j9UURxZDZ5WMgpNs4xuaPxAt+XstW7JOy51tYRnIykokiQYYg+aWP02kEZ7KL2cif /t3AkMcRC0iKXbo3c1/h2uNlHbvkqXBOZnmGMzMriXwdE44Vt7izgW2oY3N5IFwqNHPtWi9SS6yA hcD+oqiZ5YnDx8Be3R5HxKPygh4K5ePLmLR6um0pz3P8seQq1RKFP9ctf/u1v+7BlNqcdEez0X0N I4X1lXx9dw1MpdfXfG2riDistMNSEH4Rrccb4Y/8cnRL9fh3mO987Fb0uI03HcxJiExzcwHZ9dco s3vvxZTsaIGr2xmmD+LsMSI00fJFv0/mbMB3LLQfURbbNvuYtBK+fA8U8TOqSRvPYwXdCjv80svZ ecFEkHhpXJBNTWSfUIzupFvHeVSIxo1FYZEy4sS3rdwokvKAiZK3rnzY+Ryed1c8On/UbN07w7X6 m6hS6lOKjYh+wxgHNswvu8N4sknoUX7Hwp9LBuU8+T0Ca/tOrCkICtK8kD5WkMmpO6IWAXUjK4Z8 /OmRAfzuhQeScqBIQTMuw2IkQruwSdfY/2ev76Y8v5xSi/gzcXVjJ6pNWe8NhZ5pL8vuon9u8D9v ac2sfrz5UyHorqRAvNxS0nxaWXiYHYmk54FYhWXq/l06uTApLWRBji257/fX7WCJ6JtNeLLcAFYG ui6Qlw2u4ilhoM33Ba9OQD+hKXM93Ab35owHIBR48oqnZlu/gRs9B7w/mQ9P7Aq6DwyYiEy7zN6P zIrKF6PEXI2oo5vRRDZlhHjnxlG1qbQvhZImGO8R1X3muvsJ0Z9NyHew0PCSz7i9mW6rY2m1FJBl jLOuJd9a+SClV8HYSGnNlxIsBxxS4kdb8pJAiZyO1GsyFurgT9epWWxp6MeSTru98ZQ2HxuKRPAh LAyFLPqo+UCcwRFhd6SEMQhkLktq/u+ZRteg3JfitjOD93M8XsrOOZXAvc8OK94NqeYOeOIYfeiA Bh8AZZCTK3Xt4QLtJ2oyW6gLSK/gyvC1P9wVOFLK0VxRCj7UL1ENqTGIylLsQV1EDrxvDeHgkr8n +celZ0eo5oJZQc+yNrl6D8RLDaFfOndjQQuP1VMMLt/r+SCqzoIQpeaPzjqcZ5F2tDjq3vLL3JlK L72Oet2zPrANXugoDIB6V4zLM77QJB3ICXMRSw3lLKHdoVR1fOZjH7lh6OFJTtre6FJuHv34LR+w Sc62m9Wix3fNqnF2+9Qp1crzn4iR45vHd5J/GET/E8MKd44F0qOzeLFE7zgwf2+Iy6YZU0LJ7OWe z0OlZFdrPEAemSaXyLI3Wg2c7W5Ef4UaJISjZfXU+aX/CFAP3KV58g4cgEfSs9fw8iuCFLuLh3Jh GZg50idBZAseo6HiW0jDA4Nn9S03k0B9v1GqmSWPhP3YhzM/EK26PGYcgF0eivassZQFQSrc6Jil NsS91pv/HNapigSr2eVnB1wDsPbMOeAWMefmfTJEy770FLL4nJvHH23BcLXTk4vQBAncc/ypOm8W 7K8vIx4OeBmtzlz+HHoN+Ki6SGNYfqwhxJ3Iclxi79j84bg6FlZ/sJmHW3B/BcC+MY8FKzU6WOYl 4ii86/wI6/Ymwxsc/fLpXuJgVnj1G6seQpKpHtSA/+fDWnvd7+23DNdK6HfBGZ+9h1HUSEREwoXj 99Lau/2+L3cctWkmre/U6dbCrUJx+9esOM4lxm0AgWGdwsmiTdhQhm1GO9efcz3nod2wuyLOoRFB PRHCoU9xUQeiUOHk4A7KAbqWNnKmpYJRUFtQ3lyKzD1zt5ChuiYS+1trXUf0emVBc0RXJeOJM+oy pdYUCtO7HboKltA1VXkzyJrTAnuRxZ1FiBt3NN7AswsisLqFyQAuddvPGzztWsE/T1mimJzTQK+f f/Lv/B2HA5evVFXQh51vSrY2ub6y7UStyV1sLz4hRJqfnfYYtn4qKe+hiDORa9CUQSPNnR1nNwVS OkQkOe7FGwVo2tF2pgxsVaObzuNgR5W00kvbG+HZrYc/VlQXu17CoYAXyKuimeuQUX6IOYQfOtOi P/656J+ayneD3DdaM4CAxyapYpzyxTtzYw3d3BmLALR36ZccU/VhfYiHYcCtxg9XbjQuCmn0V9tm VhQXJGWmHnrfgcSUohqw+023UH3zssHKe3HoXWtNxZuFWTm8uBN+FQJWwZg5o1SnFllNmOyhtpJN XO8SRcSR9ghUC2PkIXtJSv9s4l9Gp1a1m77LFh4HZa3el3/C2W/EGR0B7R2Pzy8Y8kQnfhLd33aj x06UIZTX/x5oFzGlrD7CuvF5JKo9vOIxzToHh5kdoOD6zjUKUGJYQquc/mE0DMReySwBHVcUIpLT P0tPzMBnO/rCSMnc9ks+pckz6Kip2rnVsPX+HfAom3uAkz3m42JwY6b/bHCDef0RK/3WUac0dSKM kEYtrhwBrDcHu2UrE9D4N3TPQpPhltMcgA3rCnJNzhStxgWfSGcSOX489GY3JX51jrPQ4KLwg3Te uHo9coFgA7zxBD435Ek9ZfJZAcIO0Zt7s2uZwvFyTVmPWSIEW6daOf4f0gxbKYxTM8WdybNJXju9 AuBEu/AVDZ4+JGpSkGoI5khnH625YEMjmDdM7yC1jJKKFINwCI4JiWEAl64hmuHGoqBCRVIgMBYp hCwZyPZsI1RVFT2dRHGrlaHOioCJ4s9qfl+jXm7NnHKSvxNcZuT+Ubv1PiLUCoGFG+sBAEE7OLIx 156yyQxHYKvnmGVKdSv1JDcqFOBTX70OTB59UidJY5m6HfaEtJa2TRtYd9dfiLW4T+bJCNByHVNJ BP5PQ906S6hbtLHGTio7Jc/IK25r925Vil9Q71uHrIoeIOuJxTU2THyuDb8th3jMJAWZ28arIcD1 7zvWma3Osergrj5anOk44hmyfHWNmtZzWfjZ8g2mz5sCZf2xhx1wqFFUm2rP++JnqWZWqJpie9P/ FaUflE91AeT0nPFGzJobKS7vxP3YCIxqDXb4W+GNrbrMzqJv62IjXU/5VT55UrYBObNBKr5pNuPp nl5/A4Sckp8yUP4cXgns9z450Dg8dC2rJeiALt5KoIAI0mqVyz6dmncs3964qm5zvqkhfspebtxv +/5/HLRk1pKJC/0BEIG3U8PblJ4S3qWAR1ocDE72mQpK1S8J2OpVtmNPWqj+Q8XxAKeFhxNgDseh 3Ys+1h4JfwdhkuL1WuvUWRmr43qJQgrAU1dsla9XqNHMblQy5XDeZddFiARAWW3wQ5mQedn8mA5U VcD6AFj0+myr/qmfSW0WZomoAlWRHZR8ww60cUN+wUjqZnXcQrMta/v0wrgmsv3Gm8XyHnb593L7 eG4J4D9wit4Xzo8ICB6DhsQ+QOfSpMQ+Uks7P55CB0dzcg3FIehDZWZfWj4jNvAY1gUscTVyYm20 ltt13qwaUWOMqO2BXOxzc3jQ7Wi51nA9iG29RjBhvOs8SIEWaroBNDKCGcQ3HvQk5wLRSMiGq6If A/12iSm/sYD052pbIGYML2/C6RhJW3M52SyyIXliJtXn3B/si0AgHYfzqT0vXPlxQANLqtU76Uyl JwP32T30MRjAm6qMdCDKPfadIidlWtpiNS/lxnet2Fgcu2RTx9pSlm5DVmFbm0VH38okdGyJDSIF p+FEprQ9eDPqoUzNbjd4QlY9bph/Q/CVR7m8dBAbCFdT7pbH6Wdwk7LdzgRhdtDP9jIsKTNNte1q GMvooCehfU4GiCw5Aa6s4ZZbQSVYuhRYgOHzovGzq1+5wOo7N2JA8vlRYSwwjVyUb2rqq7iWsbg+ JuJapgIlHZCoOngniStpVBvML3CdjisUnPZs7sdb7aLtZRCI8TsyQed5VNTTOv4NXqNYWssW/xWq 6f3VNQFk/gh7GyMyJ3d38QobBhLCLY4hmDK8JEZCWxIL9DN0kaLLviNG2wWKwZL2cD0vxQK+D5M6 PEIAaggXEQmwA138Km55S7ojd/DGbrMb9D+Sj/6WEvXGOXlRpGpFQu+ha0Zx9dB76EhCiH5bYq8w bqILWA9l62keHeCH4BpTHJg8hCuBw91g8KmUfdeZqhZBGmg+jggKMotw4SoSSGVLhK21Ezgu6kSH xJ58XYzSKRTRJwiPKrAW/4WoTYupBxtoBdz+SqQ84ip6iqZT0q/H92SSDYacziEwJ3uB05PxUTio eQqXesLnKDT7FS0PXWpbQ6ZqpzZuwWNroQXXNu1J8npgWoFeQMl5AlAUYOaByxJ9IkIGyYOKvYWA OgomT6uFDSlbXupq1moQTu5MMxn/ZMWnYIjBUqki5h/yxrMoUH85oCigWxdSG6HkE/Dlp5CORbr6 gSgkUnNa61GlwM8WyTdTAlnPRGGVdb1X4S8CEW5ZGHUyn/oCYY1HKlwtLQyyQeVplakXQCvrJ6kQ Bg4uyIJgb9c+RoZytzND3ph+muOAgedD8oFvvTx3sNPkT//7bqD5QROXfB/CNgx/tsm0OEgPUtyx ftKJXDzA7GJhHQNybc4wtemLWBnKgjvyPxxbdEyRdD4wobPkbKzOOTeAMstEFoqr0Y8H7QhkUQam 2jDhUkqJ284W1O4H/XuuB/Vl/qvyU9hoJQcPCgaBGFdq4QRDbpDlmpqlxXrXaHZlgWffJAnQn8Fv sk4H4Ea0/WjIO8ifNl6SfybYK/5oIAIgUi2Nk8KE1m8gnJUPMXSYWsAeYkR6ybc3C9yJj6NzwSUW CqJJugNELmiv6J9VPA9PaGQ64c+3pm+cpyDNDHQ1vY1qvj3nEgqx5n0Y39nCsQImiPV/Sg9yh2Bk HQ4ZMwhLI+nFwK0OZ/zkh4odiDsOBE3M+kMnlZ5BJmXK2t+A59T7AvwpyVEVogCrqtbogq7EyP2R /KoZIKfyE5vXtjndlUyZjAiNgpjTc1VakSJb07v4Jnou0T2uuBBVLBE8e5fRknL4orW7nwiNGR3A FjSKy2+CMPD486jawdbxAbwfChXyeCLhOttQScZ5/UuJXKibAEIiWMO0zwi6h0787UrxLIJuioc4 nULkOdY/JKeviefRwjlnZY4q5i8h1F/oMT/HYeWGqrroYovXKcnUxbMWZD+jaopXwpKIKwV/u7gL ICCVqIDSf8Gom4lbOw1ZcRZKLSyvneRHTfAaqVZivhe1m/wTbLuvizyo5v0fH7nNqAzAgtH7oirl O09aUTNKpDm720Ay5sPItAEz0pFiZQIRDfWGCHCuuGaXZG0xuyl8ShQxJz/9BEeMVCPhZnOaNv8X bNe0t7omyZMkSFNPR4U3evzcLjcuK7VEZZdMkX6tka5B3C4bRACtFyOeQCt79Xrriwjp3eDw8Yxl i4ZnF2nnIzXhArnO3TFIuhZXD15yn9vVT16wMxV0rkzQ2P+1+g1u7aeDNwRT2xaUvdsFLGr61RsA krrBB/uXlnDPWrMSIoSOLSTC16X9VfDFq7XtK2uA0BmKK5FJeWOI1ArralXwFlj8KdxJ0L25ro4p IZhykME1I9BoKS3TjfbTDmfX1WVooDH5YBhsp3fnJjyZm0vZ9V7nsz7eC/en9E7r62uh+MrQsnxQ HEOfnD5I5vsCo4FmTwA6lhGbUO5+59ZQ6busQ3Da/4/gKfWPi7Rx+7Y3AL2HiXlvnKxN32bezNjp dYjFYXVPdjaFpz0GrP3APSdp3La8UFzXbVhLuwuv0mDPBPScpRdDo2G0X7gso054AFVY6n9p8tdd 5zYfJhmIvj/NqUn/wjbA1Ptn5IjIafceDKqCWE+o9brGUJBbmYQvsYtD4pa83lH8uoKqIULDiSXg 6yxJwmM59viy5qkaOJYrzsWg3wlO+PCkAvqg5HpLKFZUsQIYlmnRFiU2siCw5xh8Lv91KTWQE26H JygYAC9Di3Fuj9L52dCNMgbtOCerVWI4RqUpIFnC+F3fY0d0urDChvfCB4v5ZfmHK7UQWuUl5DRA Ncjw2/e3pwmVbyls0YUVrzdizPbhlKDJX7xzvC4K10nrAjnG++RxySdAOFZXubgPzTr62JQtSXmW IIqO1vKeYP7Zb22j7YH/bXfT/F5cufY3ai23D7tEwC0XTRPsjTnkyjrFZDKy7H4jtCHGqFDihiKn lzcjRj0nxDEydN0T3XZVLw1ckchidFI80LIRUz5/80zPxLB32RudBu90cckCuB1n8lnmLPij/zE+ aucm3Kwj0LLI/ESxyT4RR0eJrEyPbq9hWnKrwAbHzhPaF+fffQmkrsUci95u/+x5LJP6G4/zY5ZU 42fBuiz8uxbweZF5KyivG516l+EjFp1oi1B96wKupMTLWNO5UC4Axpffk4EKZEEns0gYRwpJIJRE k8wuG63EMGWNSCTG/RO5z9NxoZktD7g60co/R42CBfts1WLyi+ow7jHsNlPv2xDWQd26f9hJIG0e TVk9W8+8PqEnJMnsgKAfDu8qnlNGOsOHkqE+0aqrtum7PjdweTcx62yaHJffKPA9+xi5XkwSw90Q gvLoWjJpXh3ptwi4hIt+bp5SLcz1MgCE3s+B9GMkZp6eji4CZRJ4Y8HsDzXziQLOBcJQbavNtaQc TKFoacbgnSmdbaLo6XIalSOZIEQbh87hhxV6K+UWL1flpVWVAsJlAajEXmi7Y1H97PKK4PzSN+fr yJifROBUNzCVFwmnra+Zipb4E5Lcxyic9aLP4yppTbb/i3T4qOrnXLKwuSrhJXSCcTyIRNfCOFlv XN7teOJs72V0dh9L2Cz+VbtkRX0l6NYasCjX5gO0C9MmgYx+KYUX4dFrpHbbUVI/aeFPSRXeqpDp Bj9ql3XKb0y+qM3C+ISe74cIUmyZPAsxtspP4l5ZqJ+0B83nubj14d/NJVghYmn7MX91fvjVASmN lHcGwVvjoBHip3wjmlEjH6SoXc9kZSi06Y86jAP1G1cetsxKKdscQvvIUgoMDbTIh6hwcJVeWzdL FeU4QV/2aGp2kibI09y/XFAZ2mNG6KrztPsjXWq3ds8FwxjebgVCba+YBkr11MEoN8SQGoQunHoR wD0amqgzGzavEsdYCJ8t2cCLE6pF55bmrf4hm3BUaEi+H93IC5sJ2FrXcBTJB34BRd3BWFA4sQn8 EHoI6sWL/HNvZS+gmk9tJxOpZdOlBmBvL7QUxs9O7HcdiJgqyWSO2WiYWifPywrmOTezB/3RbwAO kCUo352IbRcj3TrkIOubd3/438v4D7Ft3DhuapnoCgB3AiCh5BOxLotQ9OLv93+EDKzj/zShPRlD D59DjxgDs4Iu+g15WT/OKtcR3zlU4vfTWVU8Pr0Rrd9q336s3AfGKPsXXriQ6NZ9n9r5uEGts4dA CYsfvUEE6TTkT7HDGNd88HhGc9mYTrvIYqnxNJ2Dfxdy3D6py5NGKwO6Z/oHkj6jB0bWGX/iwhbN OZ8Kc2Y/JJdWFNMlOGHs+2mgWXt6E5z02EvayLNFqqXbzAWxSJ4gVWUkRW1w4X6kYXnUfn/uK9T8 fyhoOAFAK7KnWzDARKpQjPRv4cyZKWEU8ND2VGBYHHhelKiwkDMuKr8qCOHoiTY9LsSSTJ0y3Om5 zPbN4R4hd7Ki1teS5VRo9DgtjemIkmKBmt9AVyH8O7supJ4F7fWQI9zIGnoUPi2/DYYul6u+5iWT Nnlokkjfdc4WCCICsJu4zYJ/8oFwpYBTtAunbPpcyXF/jj8BGbtrurRFhOc9OHpTS5riE7CjTD41 SMNvyBkzXhdBL7s9fFTUr2SwP/m/pdiYt1Y8+cPm/1EIyP5d5UbuPMKsZl3LDwWXCMnKi/h3PD2z CGJbKmdAx1uch5biRyNx6w3CCPCangeKeYwHKLHU3QjsWtCBfoAkwR+YArHSuJu8Xvtd34qhtsiL s3yC9fez7iMXGfqasfXLzwl/T1pnQLZ2q5XYcSmbjHxP/9A27xwKycajveYOqzAvM3CRfiZE8eY6 nI0NQlJ53WwU2oTg26Z6QRQe3XHyzBwou5E1nBjHU2cxdKlVp9DtJEqKHiY19jXJ15FW+qthh9G3 7MbDqD0hJC4kwh8UFZkjzWYM6JzvLGwdsQBfme8bOryRIVZ67tt4bFVVLM9FXD4pW0GJ6ORp8Tdi 4nJ6S3aD+mYkO9ofUAzhp1lc820p3nSEDgqvhWKK+V8arvQArAOVqlMsfcrxjTAftF+gupUsk4Uu x+TuA+NA2OPMbOvrKHF/9q/bRDZFWAK1pqkR/ayn+Hr9aqdjxKLKLgWR5GJILTb6RvYPQ7C4/P9u ORGmHF3yzCa8y0jOFH93CrTEfxSjBF0EiTlKkF8k/2JU0TKPm5zvg6slp2L/EEy0ydkfd2uVivJM qWFaC71OR8sCvnHywV9Rqc/3Z5M2hIVDYOyota7W0D+EpXlGCDVDQTpNeGWmOLMqNfWr9mWdkNpv GYuGydcdMKsPCIlXc1LGOaspNv21aHliav8RjakyVwcswmUhf4ZBHyByl3pyxgpm9fvfdXUC4KzO tu4VTi7sGKg3DdJhVLw6k/2u2icZUQJBG06UWsOYro6lLEAa68zHBoXCTBDX1LdBbB0EpvjZGyiV uRE+GXFmHrA/q8FCObD20V/4gXKXk96VrBgMlOCPfO4TJLu2BNdhasrxouG2R9Tf4ha3DpYB5Wuc u0SGgldtDs6NlsmbqCFk10eYfWxWmYr7FmwhHlxzl9F8T97rG2QylnqUtYMDx5M9tA9+oLYxWA8y A61+YQeWWM79SjgKWslaAG554is4whtWWKHUsHr1n7NYjd26Xge/QVwVvSQh2RwbfymuNEN/70nO f5l1YSAhk1y/G3FFQ3eccWGONkdgA9dS9HZQR7SD++bYaL7Y31aVlOxtswK1jcHpFCTFWeChLhpk DhoqBem38sM9At8UHDlWF7FnNAdhktmFUDxRIqNrYrFlhR5Ay5crXOKjDrTyb8zQYmAalRw+P3dt 9fkWxL2T6HAMYBjUAvwxPOx3FXGcW7dkxacjYVhZ47bVwupVqkgXiYkIDfmm9tjzFNPCQnIDtgPR 22s3BLR4rzfdd1W6ClCfGZ33+Lcvtdd9Ki+ToBL4StuX9+m9nY0eq/rislQWncvUWRVJfHsBK+JW b3dfPRlF4ThV5RejfaAqeMycTNOLFrA8X+xl3fZkznaeVNrgkR4kwoDX2c2Y4oUWRxg5an9f6XME h5UtbZe1NWmkPyew4JFdfnNc+OItFmUqcl4XQxzLtu/yeQzsZyPgKfKbrZliJk7r5SqcKVjI+1/u BssgQeOwTpFRPsa2skTlRCvfxpFwBXYQOkncuApZXm3H9ImD8i99TkdhAZ8NWgiMGx7rV2J3CCI5 HsIp3c31R1wqeIc8490LHA9lTaqll7qbFAsnlPCl3H4sik7s8zflMICkU+efqDw7eZ8f6rqVVVmh MVUYBnN97fby00WKxxnfX/5ZjKDrN6aiFvfS8tCxuEgaYRk9kmkIXugVN6NzveA3HqSOhYMhKGKe JFqOwIO7XaEuFPVFmRdwDreq6VIIsQvspti8FGzLp515iW3yBgfqUPz9yQyIEyzKSjfIuGcnc+Nl 53FjdgfO8sHjhl27ZrqtLlZXmHNt1QTIbla6eWi4A+ANmMq1Y82B1nJa/3DKWjO8O8ikeS55lE9/ rBW33a5rSwc91N8sK9MH9ltCWqCHzi9hh4nLPXYs0p63Ba1BX2BTEdHAMiV/ok7Gk3mE/xrbysXB OsHxm/PTXLq1Oruj9e0Flq22LadcL1O/ORC4JSBOiiuM9gr4TqV/gDQtqKIIrYkM54hiOOsqqolt 2A0D6WDStP4Izq+kNwgo0WAOXA+JYOGHTHHRtkjSjMynoG6G7DtSNojNuPwXQEGyf2gtzfNWlyT2 XjOd44j92KD+xypnrDyiuuF5/HDY/EZqe/gEX7eB0n+d8POCNdlF0wY1m7sTcWRKbBWi+C4uj5nC B0jFvqs+NEuIq0GN2tFo+Ec5OXuEP6EMYQGl1ODp7STVcqPqpma0n1YREle+zk8moNQW89cr0XwL fAAaYcVNtR8pt2SOPnBu1ud25wfn1rf7gqp26RjKDz3HUT95C5RC584NThsfxQKdq5N1R+TRBfbA LnMrcp9/gs2ZbcUq1Csl0IU5KbrWEzyG2Jkhrv1u0ZtToppSSSL0i8x5a5XjjkFQH6v5b2FdX7IJ vboF3oVcuM4hjOKvru6TxveJKkRXAKn3T85gpZ6tqn9lWwIB3/VBbRBTulbAycK2aXgR41wbOmXg QNMq39AVJRBU+wOnxXZr7+37NKgMNnKWvvc09ArGGJLv+Z8L4TP45esWft8psoczuZxBQjOBePHz HnfM9/zkXAix763TqxsfjxCJJO/wC44vt7vQdUsZyVRYVoOgvnWad7bYV0tAORl3NjzUYDu/7Obu WqBkovNas0ezzlTAzKuzlo5uxBonTn05kRcFsil3TfNLmAyO1pvn7UxNpbytHH9aAgi8kx5iyHjI icVFxq6wt3jZ68/S36AKm2Naq1kZva+2TmU9hiSPQVVKpE2EnC2j51C+g2m9/apvF9lg1PQG/Omn 0IjWfrKAvR5i1MY4FRtksBpFRmm6vTYYcgXQohY4UYylbtw4v0ehzx2zWObmMXQkKwMRPi4tmoh+ q3pjDIws47VK8TWzDXuBY0GVQ0cty4xAUtzKd+NMYMqlzZxnAFEpu6jhaQq6w1LzfqWZnbl+1Ext 1NJJzOnKdPXbHlTD1DVoKPiK/9lF6jsvBmrphNXTr5s5JCLeqR0pENXQjtbZJZg8NpqEJzpiEEPC MgiDFdPFY617TuVFl7NyyUehhnBo58hv4nU58I05y3YgWZ9eB7j2Pa2tlFhqo2b0bV3Wu38WzmBg wJMu3+aKl2WkH9KRNkmt3gjDQSDG05gGaXl/6YKShvF8dfZ1sKiXXldXHqPH3Mk9TovBoyQdLGFK HW4NxnjJDBIar/Qq9w8/gIlFAfiM1EG3D7XH7YhK+8OVXS0edGuuj2qsHaOAdp4HX4qWum5KqRvF vYpmT1YLBHzUJ+tE/5oZUkk9cVP1/KO44APxW6dKTmbGj5HlMhR/DdeK+cRGlMAjFo9BcDdL2k+j OaREG08x4yWQ/7Z94F/jlNUQeZiO+ccDNPVjmqNk+k3t5xtANrk8PesyWIs6/kziY/mEC9ozlx4a J23X7ajw1HBSchZGBr0STwWoLZSz8yY3wfaqmO6j3ofzFeT778MV5efqiZKdOJqNjvQjOqEBpS1O gRPjdQN14G+vee50c7cOmWF8rpUErCEJbtRotTUsZ1zewOs6b1ALGrpT8dZ7zi/2SWKsmn+AvAKN 4PzVI+0fJEqfYc9vuaTwPNb6o6rFvfbpGw5MOBCYUZ9XqywtiyzSlRNbECgj59v3X8GN2OOZmElV V87n29XnqTND0Rb3EprztQeoMLMHFSKVPMkPzbdyOPMsDU2rr+tkD/sHPQpIDze3cIoQiT9PRrQF 35sD0nRiWngPOc4VxIJE9h2ITen07Rn1PQy31vcOVn0HCYBHpZa2fiJ4lU1YRVzyVZfuGDldE0tA skEDnkOA3QtsbofmeNZIG8H5jD4vdXW+tk1Gb7facgTCLt2aL5K/zXEQ348EZTSFTgIxNeSi0JJS 6jGYW4/Ye3FLPeUuy+ZrFF8+ZAy8lp5WaiFO6xYQrRrR2K1Qu6faPBUD+RQSF9rtKHwSwLZyFOYW A+VYQUUyNadoSx8tx9Ll4d9XBdOoDxHEgHd4nQ+N/GnZpOlxmoTK2U4z2TRFQdUJpFLAje2x7Zhy /tyEc0VZ721GQ7VdIjevzlyYrZla2Mol3eELzY1wJrFGa/22gh5HN6pPvoMAUg/qLk46b5E6CrIE VLetU/uLZZf1MMviF+iyKXWtJol1MUbHOVUGFrUb64eYirmuP5WylzxyRZs9lL7y1Uj9xeBJW13F CnSMn9Z9szQVCtYNzdvgJN0h9C2zF60bGErQO9IVjG6ZajTfZttjNP3gB/dUunKBtjPwd6CSQDF5 9MRc9x2CAQkWj9oiFFZLLykegY2erht7tHrduDP6OUvsxynJNUOlhJb74k4Zha5aTl7appcs527a IpIy+01oKZ7bpLDDvRDpT8aooRVVg/63KQWJpg/ZjfE+i2dpeaOlVHUcXr3WFkQuT62enDNFs6kr m7TpDBlr4U3x0IRGnE2zburjcZJ5w/MLyt9d+Pc= `protect end_protected
mit
HighlandersFRC/fpga
lights_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/fifo_generator_v11_0/ramfifo/logic_sshft.vhd
19
29996
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block ccZ+VLNSpHtEulGuEKVDJLwcsmbh6zDXYYsSS4iGpirAhbXM3BP50jl4c3979n2YR8HDHLXE3QbX SjQosk5Agw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block b11dY0owYoWaWqrEwg1RlK8C89M14CAO8cS5xZSZiTQ60prhJpRDDBFmDC0asd3vpmdy6xip59nG z+R5fGAzPFXPwL2mdZ9u5u2h5M7NuqWsd4/PSQwIb2Zc37lWRpOZZLKl9FzYzSgF2YNv5/jfYnLz E/n1SJLECqBWTvKh2d4= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block NDjOIJz/ezAa2sanfwA4cBF4MUjfAWwRdI3fhKW6WomA0dTdlLUaUk3d7HHvjRwYAFZbgsshlvRP BFUgnI13aIFlirt9v75NS6zbC9iHo4+u43o4DjI7erTR/V7n1KuL02bh7njjYqFW2TM9DCTV7yyk HpE/bHTEqhTIUHhN3s21EIF7fvF256QO+AgjOS/tV7UeysPdiXp6gUoJ4fZfor+WTfQVkJeKE9LJ 0zpHP6pDYIRgknpLIxX5LP5O6x+a+epaip1DIHLGwD6CJeBzPxV1RVmuuHt0FXHAwR75O/YbsdQ3 OLvEz7nBONr7GpqlRI7TlZBuj6FdMW9zmU7ONA== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block 23D8eH9xZzeJ+Ojv/tdSxXVchNNJmk24MJAcRI99YbyO8+bv8JOBxvZhz4Qlt9qTY0ExdOGGGFmU aQ35HO0+71woQEgUY5FOSxt7Z+X3DhAwHoCaoUzrhIzpo/Vibci8Aq5CktZeDbbFyKqw4AG3L+HI gLdEde8Lyo1jpmEidTc= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block MgM0EI48WvFKRy0diETe4cjudrS6vIt7158toM9vdseTaMD0TZIog1UmAGNvdE72kJ9RDo475e8B 1F5FJia14jZNw9OSBZ6rrUB6Tjk4EmqoYQgrN7x0TfSl9ybfwnnJEUbiXZrL/obnsUVUxuBuPHw9 KwRIU7YdWp4ONQdRCD9vZVkexu3R144yonCk7ZQbQol5voGa98xXkFS5wJ9AioaVUGfDCcHlVgYv dd/x2xkSx6aLm3qbkMFW3ZMl2N86VVdkP+mRZE7JGaPyJ93l/kjtm21dSkDxSaPAALmdawaPAmzL 9Uhkk9hs8yLNZbslAd/6iUfM8JK7nIIDO1E/WQ== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20464) `protect data_block TW/IethxANd1x1LxUanENC85J4mbEEcuRl2PechJXu3cPAkaoTjPT4jQVua1Vov3QlcPyi4f0mHs vhvw3qEl3smG2Y/0W+5GsAWuExcVnj1C6QDwZdDGwt14TaQd+Vj6fiqaVdQJPjTQrnkZFgFe9oFb XOHKb0AzCbGEVm5a5Tn6x8ZnpF6o/7rco3PavbsmINOrh6TPYVEfRg3j3zahCBmFZWlCl1mxa+Mh q39JB6o1mFvWMOOrKrzpe2ea+GpfmFsB9jsMWbiZT0cqg3Xpe7xsQGE/xFcRYmg/SZQ0Tmd7knRu xeRvkGqhdsQ/MJmFrEoXm9I5yb9eUtFTsSj2PIRGYFDpbsSBBCTW0DXMcZ51AodoQX54N6etS9eH jZABDJzFoa8Y0IJSzCN6c8sH+D1gc38f5duucm79U9DTCCGyfa8RvBbVvwB6Xo3mLBk1J1jnevJa teNJ7WCVNombKGfIKJDEyFW+l5tvHzlv4/tn+he3S/v9hJnD0DHZd0AyXVP9DefUYEZZBVuI5DQ9 P/TaCjds9E1L9jjaifoVawZ9Vy/0P02b4myTVq26zKw5/9HVJJgHkiIccW3ukvlWK/ZFySGH0mZ4 aylmLRt4QjOnqtfJg0JaNFrYNFdK6QeKCpR0+q2im3tVHqiNVVenF64M8NiKLNmqHVK4ZJCra7ZY gaVXyYyRNeHbMwJCEm+dOOZrCepZoP44Ed2zEGy2eFmZGDz7pjYkQWOHL4cWYLzCxUFjni6qHLMQ RlMWOdUzPwpHAJ9WfVLj0lFLvFWWNWBDo2014DzOlKfMlgq+J9TBuWWVE3Tzo+NXG+oFw2n1uxkD 6+8aWR4BNaVDvuYm7xzvLi2CuDN1taddnJ5Th2IRvovIkPGUGgWcUm5N57MzOXCDFqZ265z69hfQ AzS27dvaduGyVvaQ+DjvCkcKsx9iAHglQ9Vx0XyKcSytInPobd8gGpsWGrUVRF820aVVLWs99Jo9 CJl2OuNcMA4AWYoi3ji/wnB3KtA5upFR5lUOYpzpCdAW2b2KW8DsjFQgj+wFdotiz3hClatySpB7 Ka1yrNpmjSTsbw4pe5UvTTvf7nbYJ+KtatwLJ3lDJw5uhQA0zUQr8ImyNR5Looar7DraFkmCm6Pi yRLxc0FYYPMYvxRH6GlxCHOHvG6ZH8y4NkHDYhjAe09roBMvODBubT9T/Jiil4aWEaQxnnzgDM2F BRyG0lcSWkgVM4tidyusDMDa8CdFg7rjBm4hBfs6ymDq79cKOiLQNJ2+pv2Lj9qOSkxg5HZaBOrl yERM+sfBLzq8WhXW+LLtfvVNUaDBkRWs4HC25UOiUNrJpMvKgfwGbOnMeWKMZlFG4kCPFPp4RTUa YC47ndKGfol5eVxIWUyakEDif2MQzT8wM/E4dCKqvMry7ICLOqwqeODHkqHIFN1sUunKREVhjt2h +QhMwaQIi30Iaq6FlCI7s8+fJ+eUKf01vCIPCaV60nuX1fYhfvvVzE6UhZZ8cBaehAA9rUR38tQf EPQVMQmA9LjwCUspKXyuKAGIQBde0PIosUXD5iryLNk1aKGo8CQTVYlt+vNfX5LK89GbLyRlZWtv 0dOHQEk+9Zni8aoY+uYq0wlphwVKOs/xBs+UniHgtVFx+RC2xfQeXiwlTLC32FOTAtyLpy9UPAfx Gt1dqi59Q3J/9elngBfLWoWUEJsLhPP6jLN5H6VCyCTDQs6G9tsONI7FZfcEbeKtL22VNK6EvcgJ hcA26ubc/s0ySqP9LBoZOtp1h0V0c3huvlZQJ14sKR1lRXuVXlVhaXVyo8CifebFCgsEzsj6JexI E3KeT2EsG+JyOOVfopBEy3B4m8RP6VKe/jDXq87SAH+ITevtorky19egCuCcbHaNWpRCvApah/rz EoMSXuuxERatL1B0Y6WlYDPQzbaOWlPdcOV2UhZjFrAFjkQtR07CkEGX3wf4FO7ulrFTzuP70LlT umQ6gAt/La8959cFbJu7VbxSJJK1GugrMwdn44qojABmjwuFMmPBWVkDiRyHxWVkRbi8cl13ZUd9 FfaWgskCLNokIFpmmQLdYR7RMWQnup5uFxjtoQ+I11Yd37aorKzak2kthy+zE+y0ubc4PPzg8GAm oKT25WwZUWjp+cthrelbKfNJBQdwE0ub7nmMPqsNbMSQYEeNZYhgGJCFRK/dqhtP+K1JwG7xpDGV 6k04y0MS4LyC2TxzmE/MNg2LRHXvgcHsSquaGMYO15hUyhGG+HykTmDwilXmQon8Mjzw8dAUF41+ 2VRye1lfaKw+ti0pDpkXE5rXEZ3UTVQ6WUKcqwmklqoPBlFF0nV38sT5DG9a/Xf36ZLNhIGOCQC0 lwK+szvZPPk87Yl7NPg73Z+OHvf014JZ2gbSo2gRM1etbM9u3qCDjZjT0291A4g4DcmNL5C0Rma3 X3gzFGnS1N9H2DE4XZQEvTdhbzQlG1tubS1IyCMPoJ/09AC1UCK4LbAZgZyEu3w6mOVY6RyzikgD hKv6vefi89iRj12GxPMBOjx0hwPM/u2tMHEOWGj0fiOthUIL3e7loIiqSHFdOxgRH32jJsUSaM3T kG/+JkjbocDRZTTbuTWWnVl+oeSNihs07U1unbUDnemRZl2TpVwM0dmeGVJrvR49Y8OqJ9HZBCcs 69T05283D4CTdI/DRm884PbICpMrituZ78uy/oVJpDf6Mx0o9Y+3vS89RRdMlA8H4o5A70jPrwP4 rFtXsc0CvBOQSABU0jRsyHJO43yi2Yc35Sf05iTeDeog2lu6tx6pRlWrkVRClHGwCFOHR9iqNtoz zQIeCvH8U/Q7duL0o5HWAisUdenOLjC5efveF4xBjpV3t6Anab1MWcQQK7q1DF2P1ntECj5Vtcfz rNB9zKsPY5brHJOWQ4LFFrA8sAuPUDGSVnX6eR3vH4LwUCzZLdmUuKu6ucaQ5ihA/2TZ/yBvDWaL aU6zxRfwBmTEtZ897RlFT0pPYnDs4omfpMgC80RiXxJ0TKONAokQyPMfSp3GOEyaoeOC9mBvxZyW msytibpjdpyhuMho/RMk/b81HegQU1qb1gKtV2EcbwNZbMAtorxtoStynoZxde1SUpyNvQQETMGh CaF8SM0ijlLiL18AZVJTGTDcRdVU3ax59nf18z5BMdko+zHY68zk54J7YNFPMJRrE4reoYaAPpxY 2+9sHDaJbDiUmZQEn4/Mbbx/8/vzRggNNTlrZGEqlCXgxF2bfemtCzfNtQ5uMbhkvDGlkyrnV1Zk sfY2voF3eUuHBAy/8HbhZkl6Urm8UFMajsPnDXNos8fnl4az3BEsRRiWeJtF3c2L45USYB8ZsMVC Xsp1t1yrcoZG3YrB9fMomk7vqWEPUOSWTtdiYVYuRo9i6hHIRIZKLn9yAPO9Xx9jCk5knv1zKRSt M49AisWcEhCtODimBYRJSgEyxduBvhpOSxbeak/5gFddp8eGZDUy0cf8Y5xkEMfmgvCVNAvDq7iT GhorvOM2MWtuVOaMedpLynDjLWobskxbLH7g4Oss8TfqWXFH1ptvYQ+xUWIZNqn0HEsQzNs1FuYQ BcVpyvSXJFAR6BX3581ijGerwVZ4F1jX8a9ed/RYgPSVLmaXCv3TidtiYpuH1I5608wQO4ct+kMk nQt4yxXvDYEm0Twpbj/Mv60d7NitNn04khLpL/tMedTTJq+2DdyTG+TFTobk2PqLaIKz3TXUdF44 YfIhBSMJGXCHR3AcA5zs8Qvr29BIdbe9kUHteAq8OB627n7G7VdKh+6XTL36tGSyqvmhVGXBKg2Y SAsc6q6T8SQV8dD/aLwIkGcz4F/sGFfroT03bHYrDEKayBPAm4c1gXb3YKCcFoT1DDiVaqWR3Bjk djkide4b6BHr8C2c2PwPeMbrfbVKE0nch2+ARj1wIuVgPFTwZBc20s9zp9B6Xf6KGUNExg0xq4i5 6z1UTP4Jj+YiOd+CbVrSHlS2/Ng8mxeF95Re2LNLdJEIc37KwOm4dLPNXoQDqKf5tEDlX6A4rHHH odHVlEGJ0aWRG3Qk/UmYgJUp8AKBQKMUN8wh3FL1sZPHe+RCDQ9xQRgy53QCjwMgQ0S3Sz574BQ1 n0Dv/NpJpAmXmm/BNoRaCdXL8viq6Oa561ANRfXmA0HCeyF6Lh+hD+v0GZ/UtvHiR+CnJluUCDdm mQEqbbH7AkytOs2MnYdt07RG31Xc0P3viczq88I8rsbGMzdFOTPVrguhDPQl6GuCFKol8fG9LMko pDusLTXaxmv2ustBcWO40T0I0+Do5m5IY1fjqaRElFu04p+ORRZs3/JHtcbuUcjMprgsb+vd4luN d/44FZD63qZLpHTgcF1jzEZeAC8H8d2AJ/h9uOD/C7I1pr7wiO/115p9vPclU7SXbqgXrIR/VYRJ O078G6RnFBzjeDAPpEryrFSoFa8X4vE6Loh2mZWzBWla+hv/DgTWgRgRKF3O/3F/wTf4Y35I/vXm QFo0zdDhbHTTETx03tNUU7mkGjyrWdEOPP9wSYq9vuROQiy/eBQ/lXdZS9KKDMwFa1x8pNCgGWy6 wVAF3IIUZ4q0pTpwsJ0CUpIH8HFERzi298f+b63kMESuE1pcKc6vXVYUwyPswO0a02f84hEizNyZ QycVyi7bGwUscXUZD4OJdxNLOE3aWAxjyXlcM4bCMnqSFNzb/HYLMUhAT4gjhWSxDSswn8+Khc8M utWlJW6fOsn2g8YmxHAkOWoXr1R341a3Ki0NANunAlc56LIk3OOgrdAiATsKfWPFsmYNLU+YutpZ Q2f8jXBY35a40r673uON0ld9BXl+sD5X00JaAGTFpAcuoLDikCLxR2+ChOKjmNZnj/GMnUEI4v71 EH8lPUBsbGahWVP4gzPjsmVzlwm3u2O/irQkQff1QJky1VO371VUwSWfXx28y8VhSEARd4otjgip cJM8Pw+85yWeaLV0l3nGnv/Qk9HLraSvcC2yo4g6ynqRGQz0uF4rGtlrbMXS2EHpb6GTF2guODUb hJ7TRl1tPxcpyRhMidYBqebKUtDU4QO9ZH6DGjF0sm2we0g5dQxLPrA4x7W734DjfETe7jCjwvK2 sueBxJezFmUEIiJHAOF/v9KFjofadvR7wvBoMVsV0KMpzmQM7qBCiw9V27U91wmITGj2/QhPt/6G 5V17Tw1j+G7cLexop+DYX0zkVa++ME9Nc1E6wQppb1E11sodULU4Hu6aGBVmJlAv/kocPsRik9Tg dgasltebyjOWMDFyUvHOxfZgpwSC2+4KfhVF1gIE7OjJl/w4HUBX4eraZgjjcc8Dte6tp4JhqWXU eNX85690jY+25e2b9LhAzBgrLYVGFrgAel1kFBZ1XHMtEXOTEMDEue7aO60u0hXxD7SlE8Tx/89H qWa1Wh7hQjCkJOygksZMfCr57xVyc/zv2AFy80rL5IJgQZtkjvVVb/FwwheE+Emk4Ahk7Jp7jRgQ Rtgu8GxvNiAiwfSXmuSzxQgqhJqGRV/vvpGZKKKMRZZGRcjllmcIBrQJiG7bfvNNJfQ9Ynk6pyu1 99+Bw2EgZE0Aysjz1dJ+kAkyLP1t4tOLjJ0twBGvEuY3vNLh1joGZblr1iTeh0U+5ZwHnDEGKrb+ zK55k38WuqCNVjNWXnI9rk5rA25yg2LLwPoql4Jjwcbplshj2+SvegBaa2NaVDDpIVE+pTFTB/TS BME1EA+8zEw3gKyODulB6ygcTPBfjXhDfSe86HsGIAmvslZ86kzmSX5+sHPrc+OrqAeDGiU52Bo3 XhdzhV+FQk6G0TTbUYS3OUlAuy0mtLZuGrYkkDmg22rOJi2RS+Iw/W8mqtlNsNbKZ/bhECyeMxit YfpuNIsU5akf2nzr6QGs+zeFaeJY572hIkQ7f6OTuo5X474KXVN1wotNjUsuGdIbohKfH9Y+8lQD XqwP8ZEcYhZY0nnTGziwDymkaI7uk9KDk+6TG8LTBInDkP3eaVr2aFGsHTMCoywoy6vumeec57Ku jMt9K1akTfLAo3vh37W2wtqVpBhSNeyylGW79acMFdixV8Em3YbUkIzqGdIXD4DVHL/bvU10XCFD cDkL94su+EslsFPdv0YSIfAkD2OicZMDdrQq+pw4JR5Qim5meAM/U8bBOWv+6pLFAq0XLMkV3zDV yKuHfCn5dkw7wZK6aoiq3qlokQMUYw0CfUeDWT/Ykp4iZew+5GIgdf9c2Q7GEhhKmT9PTLmG7E1P +JjFj2pCYT5aPcPf9wbmJTqp1DrCa6mCLJHGTXsy+e482Owk5KFzb5UB3gbr/Io6GtjoI6gKdpgj owuvmYDN19AB/g6mXVf8VU/rWd2vECd46DeEwmaJUfc78ihGk3q9P96tw4m8RACa5uYUREhjQ50y SXFnjDQM3C5dcHtBz7/kZ8YfelwksfF1C3vcffLks0yPPhrTvapNGtWAu4lNW2fEQ2QfFuhRt4oG LS7y0092OSveqwF8uH6J4yDde+AqDZ0jvP1bM61+WNTuRsTHvjM3NauKKmrbBQAIXrbwEjSecyxM g9lVGe6nF5l6EGaIaH7CRdnPbHU7QMOswSrLn6PlrHZ2qUsgJXA1h3bncSfX4docReYF4+YJD+Qn SajmQ5b3aY5aLraZLUHYcSlIQh1T6PoiVovOfIcRfsGNQ72QveB8UlEghWJFF2kh6XbIDuQYKFPG eEZkSzlK+P8t8H3cyYC6r2Z/hXLkqwnNx9qQDNHGSm1NTVdKEvAc0ahpcffgCFbr+wal0hFSHlxf 8OunJLV/4wjruZwdEwD4ki/tEAcIo/AZEhA2uLSa9lb7wCBEYUt56tQOSsrJn57tenkcxLqmqIjx aoD9O/jplsCr4JsXJDPqeZnjixXgsKg7vEVOOrwKFYCZZ+Hf0CUXPHNeUUiCzvQcZ1xGtWAjCm5Q yvnHWRMg6iqrLFQoJ5iZMA9+RMC4MO3SuQ4dJ8ZDsxAsBnMsvTrGn8VDJSuuVVlynC0FdhGMMnvR FXPAy/NJtTsXXj4sIJj4uXlHKyqGd72kKeJCwVKepSd5RHXMJFuXN1tnFmj+byWQellhq0/GF4q/ vQmOd3NG8wZmsFK9uKoIvkXeBB+ibRCeZ3OTglXjU8uolEx6dsXtaGf5yvODuxI63zZJmkNK2V2q DyNJuyVTAHMQF0IIf3m8CaT8slQRg+oAJGgQA6mAsFmON/fLar5IP54NBxzP96uH+F17Y5DaRvDK hfelzO/oQa+A6RsFYj6ozDIhzgrcKkmxUgo0TekPgeqLMZSGHNK7romJcvhxcCTWUzKSA6Xh+gkb lJXguaKwNrgUZVUDNFHgHjTUzPWZml1Tx9DueTvPf4plz75Ymavrj2JTpgnC2azBV1IKG6inebCy CYfqy/8SA0D5lHKQTBotNIRu/SQCKDkGwaAAGos0OyWBXHzMvockUpR/4wfPZi3YqeHoIrm7or4e HXVGysuQkUj3VXBHwROROOytTz9qAxQUr420cX6dxJURwTAN7dTSYZnYgykVvaLwfcgxwA1IwRpP vYkl3GsEqRsaWK+MS67wm7Q/3RsHlcvQWOOJk8WkFJiI01QkEZ/a/jkapeq4gVq4upYUN01BXJx9 +vTpGhpAEQl/+RiDyac69XfbTRLTOT5VxbOO4/5jomZhgqTnnFwbNnWWOtd0I0lgkWSjNUrOKHnZ WNT8rvMBcXMN4v3T8H56XBpCwsmigQDAiM2p1M5XKAQ8O3XotB0TzMcjqnDADLQIzJj+EtEeHT6K vBD/0VaEuWmXYLmOJT+JJ4MU0HCHbEaDRW/c1nXqr6GJkU4Kkiu5k7Un9h2idVzd60fRG3KzFYpP LCSVi4kKznrj+OwyEdsjr02WSNkRrEcbwTlCgRinUcT8PSrsToSKcCNGfW62idZGq/3WxagOECM4 YjppDMIWLy9XkQsNd7W+CORz9BxHjzHzHPEEGL0pjw6s0MNueeQNDOviezLj3KE+tzW5mI1cSMM6 hZR1ADRuW9U+GzZ7bLXMVDd6+nRPxsn+LjxSr7sdTp//+XpAIm5kIna5gsrZUtyytLSPr4q52713 A2s3uQR0yAH9Lf+RAwCbbcJuNhw304wu4VPWpxOP54QNrFHgBH65NWH/1jo0mdPV/Ga+V6+b7Rqu s2tGPfWbpa278RAS0tXmnU6jRCqA9eVj1nfuco5PXg3hjPKoo/0J9kMLnNkA0HKFtxutYvOIsCeM LD913yyzk0AZcm2mfOwmmlW0LH9cdD/0aS6TFZGFRAYnlrsgunJ8wZEKfhoLJhUckkwSqVWwEDMx OLzPljrZx9YGgcEAtPpKAjqqNUiyp8Y43lPc11TpF9ALGCcDNCjYz5OaQdTspAIYmhOsO3Vl9ZmJ iMdILa3u4KacyPtXiVYY7wYqrpedLJVjdB3WFebon7nojqlPl0UWwWgZK+iBsoZNYtAo8H6Q5gvz IcQsLpqdQSBoTBolVjqYd3Et0pEnPluWdc20hkn2dyTTfe22McOcseIsdkh9mVpG1Jxq4CP9d7/M l96QdbfMQhaYfUmY65JHiakWLyNW5SdoYlwoygWlmC0cl0gdDePEXywE/VVwdztMoazlVs7MSdgb 72WBBUo+tOMuFbnRVEzjjfCfx7ZBV2eSzpTKvnKJL1V6lY3cMzRcrJ13r/kOrmxvdsRauwDGNzOo z3QWxF6bInTv746LR/pcNWwx0p+QmNydha48RuWoNdD0m1jdlq6YRA7tpxpDci+DyeEbjsLL3Z9X hsdO+c7u1MluEljhXx8TSYp4O9I2EcakwCl+z73CCEAOY4fo1m6G6vAs8JfOQ6QZOy8fVnQ2/WmG q9ke387jXQRFZrvr/BYpufAMYvZXeCLocnwBrElLey+04SF01bAXdyjKvpPWc8pl4X7cj7Pgrn6k c8+M8fIYLeBKjP6wlGH7eW5IkYgm8WfEPLeWHpcecw2ZRt7i1WZAJklPcmba/diFijDPinKYXojE seBaU4H7gk2sY4RPzxQdlqwgxu7XAmv0bCC1ZZtdKQzjiAhyRxtxEy1azTJGe21U/y6iPeC6OeOm N21Sa9PCSaxb/uZ5YhIFwC6Hx9/JqwD+QF9OzyZSWqE0NUlz+cCDXjni9yZwV6l2Bx1WXiuZsmbZ D/NAE/ttvKGyK5DbrPEOW93wvqF3eh8iUOUMsCMVhda06YyOmhrXv5tHIxvQnoZPiuLT9fd0huA9 pKY4MoEkcEnQS9cjm9/ZIkwIs4qmiYcQ6GPmfEYm+jjlZUQZq/oyiKGy75h3TfLfqDxP9t6wOyOI DbOD5XuR/tQiPcdC2a4lEuSt59+UiQ5Rsqg/w1AxRSmyLNQBPAFteW7nkPyxiPi1FIPMMgsXNr2y f6eHI1m2ZPie/LOAxIf/Mwe2dNV5jXo9zpR96v5YSFj7geYz6TOCuI0JLDx8QIR/uqGQwh+RJTlI cZUTMHj9U2Iv8cXZz/Gv63VvwEz4VmhxCaPMuup04WQZvWatXoGytJ3IgbxGbC1FbCS0IAFgBK+O KlMgJSt+vLk+wAfRQGRLxkklmlrRuY3H4pWnqxiqMquem5vRRfuVGQCrrPnie8XEpuwOBo+jd9H2 LHx/ksByCUTHFyISSyIsue3Uf2Y1KSDY76ctQbhtbT06F9Sj618WikDswI4iVOY0jemK9YD87aJL 9VRuPG7QeAXur0yuVroejGZCBfVCBGlKTf1u0jdqmduA48DMTXsVchj3nw1fC213iATIZkCoV82m om0QqIBPk56Ww9i5LfxpYrL2JUVLqpVXM5zWYACVAUg/h923Boo+28yQqZT4UMilkL6uNkQE3mRN vF5dfktVDXVKNwtczZnDQwIb9MEL9lEjdxfokPAhECPhtpkcUJRy8/uc0qdNNEWzfaTLuOdHg17H spMtGZ60QjN2dLQCFai5y1IiBr61w2OrhPOCbngSHE7f+obYdo2AMhakGjIXIE7WFKrAl2u3YULR Gm01S7qmGyCUHvMbK2QbqYW2/7VGAPK8GOggJYe0IkAEPFSdOe/R3p60/tgWErGxbn6sFPPJ/9H5 8C6YhLvsSHm15JV5d3ZPHPpgTjAwU396LtN9BL2gHfkHgNLe7E3DGqKI4uEwpJNGkuGmTknibLOf WoXpIZvetW6w+3sARDshScuS3SifWacLRyaQF8w23xG/yXwBiwv1TuhavVb7dVN99dbCTpTyPAHp 3lFpZQ67GDyCwAqEC9xpUyKdcoVk2EN86dssCTHHBFZmPVZoJSrPdxm1kZecKR4pqYFhRTYtIZzn 5qBX40mbL8SaZl8r26rfpuGy543ffkMp5GuE9ilIoCe0pC6DUefhxFqII6ISJRQRuGbz8UFB9Laa ZncQ4SyQbQlrEu5R7SD9Ve6PjZjaP9Dsw/5FKVNBBJNl3s99hNnB+Uc0MfKkWD7SDiauH7VsKujR 4+6ObaW0G7/Qk1UgfOZjZtj3KrtShbiZMHxekoBF1k7PI/ZYLyR8u/Nzp0mTz4jHWh9g0CaUrmSq 6Ag+dWoFI79TxxYhZLoLK1KBjUnHpDTsL9cmEwpOzMy0v0d1t/MxzrVWn5vEKgbhb4IIZMFbSjCa 1B8ri0lo+MKip4LznRiHUdDi0peKlMV0HSogVVOtuf1XvnC3Bh76sNK0x/jTn2Xa3/uzHqG4HKOw qdt7jlnIM5o1PX3Xz2YXe8mSTOKvOOVp6/LK+FVT352m+IH4fdhZnZ52Kh/vbVDbwNfgbNMFpKlB Z8ZMlN96bOCYNOW295djQHWmdQMIYni41cnydcxeL+q/wTdRFPB/p8dghG6Lns5BUNUgVHoA57ju 4uPRZl0h+fFYFT/eQAepOqlHbg1vPJDegUMy8ebqbvmuy/1caTNES1IzL9UgkHdxcEPIvMQFtcH2 nK+5VBI6+q2k3ao/0kmBlWPkQiGnYi72jx4At5/SCVfCB9r8g7q7F4F/HPWwE/VoygV61Fdzwrgx JiLj3PT3tJxN6TrWwN4olfkc543dF/8RzY6PVH2sSilgZSMSDybYS1cc1CHfuXr2zeRWu76/ta7g fZrYRimxB+Xt6esoToa0Zkaq4RwWJN96uypj1buWmyh5w21EpbsjJ+nIdV8hU9HTPb6Cnux/OpL6 AS9/YlpcHNxvrmAc7qXRdaB65nkAVTmp1qHFlm+tXsrPDdwQmD9FllexfSqCi/OX7vQTCoM3JQ6T PNkVYQPRgI0oeff14spajHGULLkQ2KI/hWn6XCd5o4+51/d5i+4ySJs5DkQqhkUFMXHJ0vu2n8Me 4nW14qcIT7tA1sP85VqZKqL0XPNtzeflHHbSFyxllYmppOrhfjYgfH4uVm2vi46/cJ0AYs8JIw1k 1W3tN8mqu/VYbp2QtaPNMSEhzA0qLM7398HHpt6JzFej4vE+HvEvf0wAmNC+yUkOrQ8ZhgvYgp/1 ae6v55URUFoGjibhZPViuZhGxFxrJP0YHQ/Uz5CfiaiBChHbx7BGYHtXp+GF4e6CRazDp5uQfWIT Fk/gkNYWJGyC5IL+1jPJD1BlCR17zUviUgsSmhqQ47VSNVmgT/fnqF7x76y8sQ19X7uVWTBLiVrO NI4dDzY/ZImgiiS+JtNd1AX2DrnrpRE68Jlo/PH2h1R5Okf/AMk6wbX/YUiLKRsA9U8/cfFbRuTj DWdczAW/KYiSgsyqaOvDD0Q2qf9FO5ZDALjixkhyuobisxVn7uwUB9y6e7jI0VaV22FJuavjl2tc fG1TCQEzA0v4RRB+l5i2pf2HfBH3lzoBSg4pSCDIT91hUNmiCsslsceHsmAUoY5yGnrczLWcItVR 5K4sno1YTvhbpEgK79pDjC0fKNFbx/bthgZLT2GRbSkYJ6PO85Qco9liEYibskuHr3QoLeSj1GoP 9vg4OYp0hawjVquJhr0Dbvl1oYdSTyZxYbGCgjErZuyWB+qaY29aS3LaA0qDXgQkHjRly544A5FX 0JoWB81OP5kFHPsuDsKSOgK+orjJ4BVQ/2ckjb9LI4JMvC8PkxsaVDNTQkrxAuJ84OfcemNUtxwl 95DadkvFNSz/lYGxTyYE/s6q/WO0yCWte1Az9YQz0HL4xWp38PivhHTSDYByhO9DgDlmEuQTYdI2 nlGByih36/X8roC5SxHaz4s0P9RyPk1EaSf7hx2t1bFUZd2d+G7nsnkmxjZSxMwAXvNviYGCVfYl rJK3mnIWvS18PsnV5iqGtyPoAFh0i4TH0YRpfw5lkFuN2Iozu2PJNSUZzk5hfvrOWLrc9Lxe/wan 8WCPBvTsPgx7UoeGeHE1Ww8OeG6bFovM0SQaUbK8kK2jfC6CB0Q/oZEaW6ibhuUqQgYpFinzgZdH icScq447VAcOzLh5fk9YuqIODwHm7znNSwPZ5rfU0JLcUoMbEx/XcX6cif4QE26qLwT+4z70dgil d3mKxdzDk6STzxxJyY0g69S4ZCYdmamgA4GjtViFY+dt9ZVF2TYcaXlnVUWvpTinra/bvVGvB08G T68mrmOxjWCi6r9DscT64UvCjm2SxR2OQ2eMeqvirg12om32++4mKtkF7m9vOgxVIMWM5M1kfmZV 327GRhZM6wNXWyhD/Uw7TeAhWaE4BiQhsOw3rEUKmNH2SZs0vhJDOLO6fiwpdWd9lwbLfc5SsZTf XizMdiyTd4bK01CXMeCJzcNO6r+pt9GvaDmyHfnQVtFMGhRlQ6Gu0ZGXyF5PLVQkjJ90BvIT/EbV 6lYtkiLHPv/UbvoA1kCD45RhQr2a7bfubKjbtNzfZE98jGLc5ntlW9xQvtSsfGrKFyq5X8R54lQI JD/9BUp34MgBeUi57Mt7PXGfJycD3mq6tUXgEh0xL35GIR00EaUTRtS87SG0VIoDf3xr7w0H2kAV UmuE6l+WpgnnOHFg31gO7FIIg292SL5Ed62VOEDl93WeZfM/nyutGtzQC0U9RD8AeWa8GAOp8h/E vgBw0WQqqOmwC51fvWalDKLqwyQLzJYH2S7YmjzliHUmb/Yzw3HFkBeQlDSEkLubEzahP4KAXJRJ +E5rNF91KwBYP/6OCR3bfqQ8DClRSUrsOcJChPhh39uwcaImQIMYONIhz4ywvwd+VdDGs7/dlHKx LRYLkZ2JSM8RNmj5rCdQ+RfyyrgFALWO3VSfJawYNHgdEfBtFLofjpewP+tScBHPtfCBS7ICGfho +zsYDbie/T7fuzcoW2/iFSpWvNPG9114jpHffCSF2UjZfMgvgsrqwKMTmoDGreALT086YE3KxPA2 nVDM07xS7rxLXCsQYVKXEgJ264m92344+mQ66/koGttZF2z6xE9iMaKS7BOhY3Iga7E0KkqUJmCy ZOvYnpjpSxC50iPGgp4+ZU/flxXcwD8Ix1NMbrkJ0S/etS6grI9BfnrfPoT1x5vFY8bWbZ5h8QIb lUqur47vUQf95bDipZpz6KYKr1UcCd4lsvFUHb8XHZmE267ldTXcEB2Er8p/LsUVw8Ru7+JK0zxf zr3MuO/caELqKUP6kWVee11xENQQu77V4aZGMMU0Dc20XrZRv87HPY6/ewVowj+kfhNC+3fPXMb/ pVQcnxpeioVGoKU7NJD/kEuUkV35fV00/vPEu8y0KwAamy9Q6Qlowcmcde7chQVGaZBY5HdIKLu1 4XzVQtzpwf/DSeeD/PnJhLX2PgztTJlcw34qOezZ7bFu0urlrWSDYmXE3y6RtxLHt6/peomSV/0n bfZZh0tjyRp3YQf6aCewsoZzXJrUP8mUTL1VNVMB1V23wkZHpR0Ak2KxClj5pAOABnWL6nyjkarH ArEn/r8JkR0B6Saqa5u4hH0lIP7Es/uQIBqCo89PLLwDU91uJEzMlr8YSMe1CpwhmwK7QMPewnVX D0Cliqe6BOaWxrkPZjHucMpjibzNK9g15pM28gDCdXZ+GIbVeZQb0+oztgTsIkBbG9C9qsCWI1oD ja6nODchVAftgM+66UeTtKh8RFybRmGYe4SCN+jfFLGZWeZQ+PnOQkzuddfw6yT9T6ipRLq2epqt Fnj/IW6iK9e4cRe3FfnZc19R85xR5czsflyPyIJKWXygKeF5zBZlAL3Od35E+v1S+1U+vsB5IvjJ +AWS/GQfbBJ8qTsaSPq5JiSCyl9tx/pv80CUq2T5Pvk6Zg4FPX88sNeXMGqMWTx8XB/zDiywVclr zoFrVM5SKqiXzAGvPrEtRVqYZIpQR93nJXZeOciIuWkHnwdVF6Rt6ZI1Vf3NFdgpA79LN3Juk3WB l5Z1gpQt/k1uqdUZunhgoLXjseBCNtZzZDGNPbMKrV05EPrkI2NljiMKrtL7fgFXc5sUUPFw8WBM 28uEsrLrBKeX30ikEHNaXq32txSROYE4r0uK241DaBH9jPuqY/mvjKpgRM0jZWkU1sqAEFdgGxkW 3FptjdZ/9u4GBh2VplixC/P+28lZrX0dyHNEWbcufNAPqP73yVdXeXm+TvjEatNIOzx2hM17XKS0 ouG1xlmn7QfecwCu3M1o8QC56m71EJtuILa3ZcifPtpvjnNVE2RPLYoF/ax2jCLJXdVRdSM71QqW BbW5QQ/6oIjkRNDOuZoPs/rl+62xfM6OVXc1Y0NzyitwOGpPha2aVeYMiWpegP+tXTFbojRFVFA3 hI2412Qp36KpecmYhDm5ZTTWVuDUgEI+un31jomBKPMJE/1Wwi9ySFOzLkbnlfMx45Y5eGeYzUrZ HtQb/FRCSMpPhQrCaZ/7kPJhKUWPIDgHT4sqmT8iS855GbKjolIjClYRkgwVEziTYg+9UqNNLLuA 6wdINp0UL2s5kuvw/SEn7pLMZX3iY6ZssjPzxlXreiuts/M3gmq/HIEpQP95xu7AeFEbfZnDxeMz 1ojGTsZbLN3ZtK3ZkDWOJ3ODcB7vmgaSb/8GsmM7Ssathv9Bk2ihJY6kV7MG70RQY8g2SycxQz5c pY3MAxRTnGvrCmNkD3hpFUwCmqWDYfMeTLez3ALuYdZjBbCPlCygcn82OurQa1PUxFPd1PptqBpE 36yxs60ArP4Wr0Kujs5VgI4y5Lq8dwYMNRkYtSaEeI9l3Fsj1fo/rMZZrsXHGq3pcTKfKsz3/xih Z5kNkS3sgK+bccD7VRHGkYMx+iFSZfHzxX09NbgiSNROoXshGljlLnLqBIn5FM14dAZGovR/J8Lq PGGRZLoTnqV+3q7HE8MUmBN7QI5A7uW4WmW6pNdv/noeDc32l7wNzm0NU5krzB13cO3HG5TOsfrF Dj7KDRHPExC2uPuYTTdwmm8XPtjNaRHrQmcuUZ0Fr2iSlVWaeG962jl+cszD3Gh6B8P6LjpmuRpX RMUuo5d8IT4qCPgfq+gc3sUbuMknY05bcZGxuKMUbqwZ/rfCk+0N7g/xYZ1HpY871MmLNxOUl2e8 b/ZBjL73f5IEVheb9N0Q1bqwUCF8tmYaxYhdPtWSOGxQ+XF0h7giMOLuefa+IUmnKK2wOjDy3Tjs LVlhBNAyJWXwjSCF0QAuNQ06KBTA2j7QvCxIS/wRbBf4/J+ttKLdrZs2bCCwnKyNV9bqtcUcgI5b gazXxZpGPRqdDjU4VEjXllgBex5Vv5W3RCwNfX40/i4MJRHCunXEA03/XNdeK97hWLoSCnib2/ja e7qfoMP9U2PaVuPeGArkZ15Np5FMlXlQBB6o45dgOl/vMmRFW6zyEds+dgcz1TsRi4W8ok/pBL/B 7NW4/1tpwO8Y4Ib0F8QUi0B4vWhLra5xEVzIsIcEvHaQIel7xddfZcxlBEpG50piNgl5s4mpHUXI H4PLEdI4Mw6WwVJmbBwx1678eboh+eTJXwR3Y5T6zfC5nXdAqPVqFiNXfs2E1EEKOd8EUNaEDyWS s2aUloM5dtIqv6rMoOQhfw0zdS2k9Qzp0a2MpF/scnpXZf5TfvpSwxhBXMCaa0eeupLraGWn1BXH JslbLRxO3InRkv0OWp2d8lWWhm0JlWY/f7kHwFSqsrcPGNoi/aqH3G43raAusLNhfQJ934qsTZ5q BOBEIUEdQdZl2ASN1RhaUbZSiApPySM9EBkDhXn87GUO3MvLsL+TL+cHGmy/T8Qf+BG8CAimUQzv JneuIjQXz0lSSBq7FaqhHd/xEXtslGe1zAtSie7TEGFaWIVkuNGZZnV3DcwN48n1y2DLgDE8GVsk eC1APKZgH+nRY+rzwem+Dv2Fce/z04BzE6gdOLZvXKNlCz0Zo20mO3GGm8kXyr5YTokYJBT2nmJS tgAVwQom8hqxgDJl4cEuwHHRxZ9aExgt6C02aez6xeJwhFgHQG7V05Nfa6p+pDTg10WtMDlzXf++ KOMH+hJEHcodHwPafQouSezgN9BcM/1GZEaDWrDWnuSmkfq4EwRe3Ksq69Zu5xS97cuKHhcxcbWi bbuckVyxwnLt72XdMFWdpwAKDZzUnLuEaoiBHTJJ8sd9VyZCnNThioEyrQLthcBIZWHRRcEWD5Je ieLvFf8Cw4SotF15V/UwmOU9Qud1Z3tr9IyQFSLa2OgNVpKB+UvkZM9WQUc+2E1CdP9y9CLxBM5F xqECibVen7WTvnyYp9bybpt+uHiSBDpuyg/RtjVua1K21aINxyT1VAnxyjkuKkURbA1K2doMMzCy 0CCN2dRC+TGBMEPAqz2t1F1yoP8lqfbb79RsVGMMcNMXsG56h9Pyt4QQJeqz3T16fG25UE6h00JV wVCejpyxWPiURgbQ5fsXDxj4UxZ/7rPgY+b765D5pMgH/mGTpLSkG7tMFr6zkKBZGovkBKG0g4ZD 2jEVRLbNB7rJwlfc17j37Kf+hz92jdMFyuS5rWzzjx40M1adhQ5GfrarQ5oZooL3trZtnQJ7YoWP t0xJutzVfhn4DAaxiMJC6hrZA81nGb26oyEyAgVFz/thtynUz1v5UNFAo1TWQXM3HczX7cPUOQlr dNgbz18WrjYAEEPmNiRfRhCx10Cypyj6Z7TklF5t6ixcaN6UGNpUI+JFLJAZvBIPaz1WLi0Ab3vr jjgQ4uWuuMiLkhNzFfjCflna0fJWVe0WLyotwrad2tHQvWmH5R0y8ZfHOiFLG3Qx0eUdIEikzVdK +6t3GAfnGgVj3SZad/zIebTmd1LreMmAPdV6B5LPbFf4tCfKwTQNvUH6E1H6N2huD3omfUcG4hr7 esOI3W2Y+i39Fde1f1VuRENslVZYXLt979pM/4Q2i26zRmcfi91J36aNpGxEWhSwzFs+HQMA1XiA uf07Bqio0straicLxjrLxroggWAPG659Vs6UPf6ZXdS3ZZenPO7VrZ8Q8R3kzklbRm8HxQebmEqB XR5aZdIEl+0eelSP6LNaNQZMgjop40xOWk/Qkqaek3mVeZgD1BKD0AcOQ5ADhg4bE/rRp0cIBLof 6RllM8jwOwPbzeS0hWUUsqMGnxyNxO8j3SveBcJqEHCIUYUGIaukiPgLAoI2Ik2Jl8oNyDUifhf4 wN5N8Co/bxm9VKMgHUU9pt2IqiLelXuYFWkhuEMd74geaL7H3OFaSXnv9qPZgHSiQ/pEpzYlmDko SdmnK7h30fHhwYLrB8A75Cj/2hK24207zHZipE7IBaxj8AaWN8PoWJzsjpL57tDmPnVr1MGfCBtt Ev9wMRcEkwh6o3F+5C/wySrpKtyOJklYxCYm4sqMRDFUSwZ2wJZPP9OaqqkXecMa+cui8DJViYEh u4a7WAFsZIrUNW+FgCNa9tXiQYE0qVmixRzfCaLbGumRibcPemdndlby2UnXq7g8//xXF9NWu+pS Qch0bHLV8iGQiQhEB295C7T15LnLv+T7b//Wt8nmfpXMFgNeIaqW9bgb4ZOQk9T8BHaPDG/Zkkam UOkmHSzNFQOBpkQwKHEIk3BEi/kc5P9yITenRXewRZXAy3EVGywsu+tZA1KTGKekBpfB7N5sO8uO bSvgRRFg4BghafxNmINGMk4Rm/3fmqduko3lP9ObMzq3K5irrSjqw7/zAcpp0rrWQgXffIZxv2Sl f3GNxndMVjRBTnDJ1OJ5pg4sn5Ql/KbZmZx3fGIuPO/p1ZCkpsNnIOK/6eNfHySUtrldi39ccxfx IilVri3g7x0aAW3E4+tQEwo+4SKNtvpGIZx1jBVYdSgz9HKPiRuYxEgbYEllraA9qMdt2/jjNtSp jYh9F1x/4GeMbMbjzbLtEhL2Bope7FqZMGY62PYOFihi38FeaDKAb1VJOfKgj3FxnLcChnn/pN7O pZmujPons/IqTsbUmm5f4cgQT/dbC/Wm46wmtr+b+jfBvz2+LKNfnmhKOQnDrJ3j/8thqRw62Qi3 1z2QtMu96+ypCOprfBq5TxyXkVmVbNfSuaAfo6jRUuFSUxJ/e0VhyYU5QbsL/0n1mNQu7HmUTlbm HClbuqm2H0S1+vJ0meDLRjK9xPoAhfMrp5K9GSD5/ONDTunNSymMssYV9hsvXFYv7EBwawUf9Dmj 0ht2puPlKSShhHfLORG3z1ZJYVHZ14HKMRSJlnYNYWtc6ht6q5KXvMecchLMH/XQYyy3kEV3zSIO tfcB7F9Sv75SAIboX0UxNT05AdPRjJh2zrmXRYBjXSXR1XsE6B3Ekt/D1jFfS8kCC6//wUhf/bGs ePpg2pigtIf30+c0S0jsZic+uWzp2aJ5uo1AQaCjt6imXC7lRbqNbTD6UivKfzwXBzbKdDvx1UVU 6n51rVKSx65gDbZo9hpw1/eirNe87YdXFLMTEO71YRZP3JgdI0AuqaOzKQm+nNBk9iybaCcKcgIm wWQITyWnXr1I/2MUi4Q7qY/HKQlBfDSoVbJ7a4x3AK96yz+mLDd+RQDF9Ud4lF2foaqLIEYfcFHK 8sJQBJKJCoZeLLfHUvcQ9YnWdoSdQZoWw1aVPf87jvVLOieH8Md4VBopflq5k3dQN26dE3FHmqpD tkMwYhdotuthgZwBya7Q4qaKGdLCcuFMFtPMdJeoSrl196XZZ4mq3YXuzQL1x1iAVpfkrDdC8gy8 v1O5jCS7H8wEZ189gR7fJ3izhXlvc8+/v0PKYIKk0mwmk3+KgLNxJ/13MgGHq8FKIFGp3L9RLF+X HEx0DLei14Ik7ZglqbiAXeXWDNgzAbvd54LnReO8/rV+H5oBtab1oxG/Z3AQstzPlHSjjj0h5ZtO ON02tu1GiWGAG0t1HHu9ejLPfk2BYTJlxOXbtqZ2ctvHqIXStlR6iEfo3hoDJ9UxoT0B6aDst4jm aOL1ev8ekXlnz4THWyy2R09jecL2/pSHii2uQ7WxAw4BHCd+jyANnXrgeNeNOkHJPLTVNvuNfH+/ WW7F6w0GwkMeogZbCLF2Ld/ZAo/kgjUybvfzKxFqL440yoT4ftXZ37wQE6bx0A6GzreyAO9408h+ bVYfbr4p4FKWHXw13qR/siBKGQv66ihpPLo8+hPlnDZsQ0OytAMO/h290VgxEqvCli5XWAsjqR3S oY2ed4LCOP+AFH/+xHsNdSpDWYtVISl7kLoezzwUbXp7C3rg8AZipzbWHDD1quL5TDi2dCixc+rG GzAeNV6DMa8bdgmltOL1RtN9dgsx00W7yVa9F96EXUDVwrKry9brqxk3WxB/OVXPj3rT8EeQUH5Q l2WxRRbybn4ODTDu9hr14SI/mN6R7R7If6+7/QxQUvuJAZ2Oo/4iLWCnNi70iwCAV1w7p3Xj2ypV dA0TuRuvDQacHysUrefdEAGXsbNRjU2s/mseefZE/OdgaiaLUf4O+kO6OdTRRpeADwBhZ9oqTCeq 02sIzBiXTpd/WiH7TYiE6JqjBt+CTBl4tsFfCiTbSJCgR9mF77/K7gq/5MiL/H9jeDIjcX91pOSM KGD/qbHkw/p2nPCN8mXsghvAfHM6B2c7We1uP2ig58iMHycLJqd8vHEoR+qAmfAwbBFIp0bukBdD pdW9VA0ptpzFwRBXD2XEFMkMouMLmRG0cY33ZATW7f8TGcT1KqEQrgGhIvfa3Ddw2qiDfk+HiE8c GTBkZuE7NRKh4nK6Ad4Xp0tcyy2KRrSQRuz5QAlTXduemGlV+sR6UTqE0wtrrVu1SJbGPj4bBBYp 09VdDf5PQjEcvBw8GARiT6PyvRxvVlOaeCcpSac/K1Qy+XD04WZTd4kAfFrB7seceJSHyRWaWpXv o6zgyaL5sAaVDK3jwNf8lRqR/FKCXXxuBmHOl756A3xbCSPOxg9LSOg1Xj4aLTc2CsDgkn7q/5VP LZ970fp2faJxqVcf6gljrEAc/T0o0pAdH8LBrn5lclTiCV8zjLm/qRbFm8mczgfvp6T0DTvkG4kd /8BXK0TxAKR02pMsLYPHdlg66m18U9tPh9kuWxwQmIigEDN88H3BIUqEq0vj8Q7uvS6gcuCY1kpl YjaE/8IpnUGa05/pT4TJfKcGa8hBO0iLoUZ/pi6Ryco0Qyir+v3hd+/mYDCrSRfw65AFb13WV0OJ C0XXbbqH9HmzjOPzA9BnNY4gYiGw5JBpDFwhMqJ0sxJ5uQpKHiQ1ryPz5dJaYK0+VGSCii9WuIGm M0IJMsfAvCYezP/N+CfshckuVAaS5sYGcY76Wn3guOdCCav03Qur38DXBNmQH7lGrBVHefWZl50+ JAoooFjLR0yCSJKUNAszQwzwdADUzWolnzwfFP4ag64j6+2l9QzNXI8NwgXv4NwjoWamKdWfR2wz 1/bNBaBUOA0UbkAUK3+esekPsj8u5jlnnSK+QbskZnmR/eb/t4p00jvWPdvvBkgjy3nnJc1sLj39 KxW/h8/dOvm8sAxRr1lIDjPg1uLuVawxm44Ow1yajNPEaiJHpuPA7W9pOHIsEGWleJpBCotfGsi1 NmghLZhAtH7XOWRG1y+zzBCP0hYamom1tj2aE35YhkiBGlI60dVwUWnc+B9MRJqhHdpqbdED5e6Z PqiyAadGgl5nAOUHrpYp2BwO3kZ0Syy+UCnV8xku7SfYV2POrCAuASilkcgY8QcQ3fOxyE8LeIEA KNGHMZSNJHyr8n83+ARTMBV9ey+dm46dxF3mzNKRJsvegUe6qU5o54Hrjv8qOl5uCp4RXrizZJyE 2bIRj3mFXOZwTQM0zcV3Li2rtHhdDl8zmER+usFU/ZkOJsFX1sFDNglC+90SFAJRGqXRs1mA91kI B/qqqhKNuDSfCpwd3p0DTBORGcxwvMut6hzJcdts22mOfvy/SXu9XJudMPXsAngZ2CZgtao4H/VI Pr6oU/gTEM3zLjO6e49zoyHqmolYuhavqw8rDzqJqCIdNrDzh+N+l4niPNdi7P/6d8HALNPCWSza fGBLBJqskvelTuTfKkPxumGYnAxh8eMemwuVqzTDK6dMD3BO3qDDAKglQQWgr+q2a7UjQu6FS5cD tM/X5o6BHDiCex5voHA37Jmxm49BS3wIrRLFgOJpkcUw1XeDmk2WgkVfgj1h4CuoI0xOoU8RX3GR vBIKxdpnCnybplFwylg25We4F3KSKdus0vV/eUuEehiaWXHbnJEysFM1QpqoBJYul4r5LJmdJ2eG kUpEL5zRYQRqb5SBlFe4Uq1ShETQYXTFE4M33CoN/F5TLwYWCU/Tp2dNoP7/+E7q6Uql6OYXCdAL /85lBvZbtcGdfl8RFh2ah8lcqCpsYdSLcSjrJBrIw9d35ZMuQmtdKpsS1pNsbYJ28SA8DHizaXqy CGdSK+7/0DYJ5IuDFmY3ZhNRbVLJxTIFLG1kFsmjgWAUY/xcHWbgLvsPaKAWxMhIMoG7iRaNVU8b CWLAM6eYJqw55Kyxb+ugIj56leg5hdcXBdVq3cWy8NqXdiKuoXZi7AMSg+jPdMxCJpqDyTmKirhz Gd0fYdQKpcJYvQQ1ao9BbkalpGEPIiq5KMwiiHxm/UvdQ3XQX+3Xmz1f1B/8MhlhruQlA495QiaO AczHfT1ekn9zb6GA8AGcsyq7z0hXibWLcy8u7OZOBYgm1Ij4nui7MS9j8rzxkSmEa2CpiSbjdcSe 7qbTFJu4yIgEz+ZT7srDlVip8bvUWbCjUHxpO8FRffIzkxOpn3+xhJbId7G3+r90kt1OMObYTRGx ge1HyX51Mrj6sfPdB58zNMfDjSZiyZ7u9tCpI4cBrAFLRyTUhmc/PbsRZ4xTiV0e/oUJQkBoaNxn bU10YYjzvEQTQRAnjWm3SFTNaXmL3yCZRoLvWKiVvrykv4XbFrjkhN05J6HUlvTFhQV+bwtB7xJT K6mI/cbdruvitkyXaMdiQ3Ce6m838QyYrT+FZl4NCH/5RZQFvuWS7Xe6F7ImYh8FU5cwiONAjBq5 vEruGc566asFSXgfNa0bN6AWFFKeDMryWFUFrgOb+07EjXqcyKRSKiBDS7mVZadIk8Rt0JIquRdv Urnk4N95REQImWT9zIgVy407qeo8XwGLGyhRQLGJwXJUl29iFu3zVflXfeosMPYwv5flpJCRDHNX hgvWZPdwPEfOxQewr0ccqOv8B3EOo+UewmKJL25bWlR56NJENY/fGbWPrPrD5yyf+3gSiSzToPCm qaktNGWD7mK9I/YFfeZT2FvdvSD0MKEKTYSlWLqneZwD2C3L5gCIqgKfRTekGKEaRmmCDbE8n/ea xVXrgzgPKhyuIWTomj8nfYYXzP9Blz8WuVuEMfBgjG7wTO1Zgopd2Kn+x9A9ueNQj9XHw+iK3/ke pHChSd5IwWpQ8YAxbdSGIxC0Fdrc9MD03WtTyrCyZ+sUJ7w7Y90qtt/47yLC0lCQvLJL/1v3sc7C N0eXq6pxj51UZW39PVNeLaRZz+sBSHDjgoql1O+GmpJEmZJSAwh6Hu2p55oufh32HMVb5kxfKbB+ yT4cHuT8kWueDxYSzJX/c3EtX6eU9yeMzMy4KQESX4AJk0W/hNuHpLEF0OyTKl0BsrbnJQ0ol1Mp HAmRbkFHdlQme9/radbVQZc6IRkpfgws+0LkM0YYohCH8uKuSi0yfE2rcIj4Xwk/lUa06eJw3Dwe 1FTEk4z0awOJeBywTqXkjHKpFSIOSsjoBDvRuPODUP5u7LveXdrNgD0L48UJxJ6RDsWXQtLI0HaQ m3ZfLqINb0qzUMx/iHIEYBtQRz7KSGwMwioyDjy1OE4NU+IQA0DngvkpVqZPH2wJNUem6GqtF2xv 2vhynR0U5OLTdXGFbv8HGtFXpDi9ygSdfAlfMfemKoVLOa1c44R3l+tqoEotGi7fKqCvqLYph974 YyyIQyvmmKmwLc47ff+RthDXsUEaNNCJhHkG450bLieuZOaBSoBTzYxKyZZLvpYbfxc7jlOZbXSX /0EQxu5w05wDN/eDnQASjpUdPdPm9ZiouJdArG+43mqsTUjxSKS/P5EaPszdpUvZvkFg/eC8ZwAW hWgvqjRo4IqALXvTURmBu+AHkLI3+orIoRyzZEjjvqg/5Ex4Drb7g9Elq7PB9rWw5I1qN1xvVb3X 9IKdzHJHhSXF26VBTZrOpqg7n8NVYwvfapIiT+RbzqSRAFEXyru9R4kYOjFSlKXv8f4/FE3EiNYC FqnkyFMnpiSLaptRZIkybNbKlpAgqkXmOOpTsYldGS117yP4kt/JWmT22VrhVmZGjMuF5twilz7i AMxoY7k9xVFXElCB5VOtaXOK5Sv4iAknhcGiy4wfDFHhzSbeb5TbttQTduYKqepeDPD7gEXitqxb l1wmqHa1dU/jY5w1bQqTzVPJjw7ltziAklFyeMIa18olFbNd8fQ5AGM9tHDv7u2S0O9WahbFe+FD a04ScfcU+ewkIelahCsnSxxh32RGjIcIpbaYBg0urVdd2PzAGeHj+tYL++/gqb7EyYISnM/tX1+q S6TXA9uiLi/Vzr+nOIhSUEaFm76bdfbej5Ov7wXrd7vlPDXzdwpRp/uix2McYciytSlfKEE5kCla aDHPJCEPh8tW/G6CP4k8KDm1xZPksmy63jTxkAM+0vFtFAAGx3ZqmVWHQP508Kfo2b32qygNJA7Z b4khsXBIM2ACr1g/2Q+pKxwlyoMZUvL55EU0Fs6DL+a/w8fNypd/Mgi9cvQHLfghuh5VxT4hkZuK Io6O5u+G28hOlP4H1frBq9QkIL+2/cge/1PUjyBIi9NNe/UqWcsR9oEifi6pEVdAvmZnNAonI+e8 snryXouC1UYUNIGGTKoKPQXCr2vr1E7FGVfr89L1IW4JxRXM1DRVGdAghsQYSDKQbRVAc1l6pUrG KYm+fCgX0mPThUJYenprzzy6YchlarcJkKr1K9yzrQckP+V+9lH28FITndDQGUICWYG1FYoWaL5q vxZMj2cxq7ztzLfwenx4doyN6bxN+2wRRlF4TnEgysotjpn2qguXHlZIjKQt7MsOdLotjZDubPgL Ws4Uq9AFs3DL6srRUiak22DRhgvzB9hHCJnM6cdTIk4R6JAREqd2AkOOcqKUVLkv5OJXEIA4UTxd ylRYBZT5dyaLqVexPdeEND/VXgNo4zy0DU+022wKTDOWGpgaHj5JZqJHSC9ggkAVbKELuhvd/oxl Ljxec88UWIlD8vpe/wLnKTBzwnZL9U1b7wXci1TkxQD2pyc3lnGT8gMWTr1oTNx/bx3GIHy9qA42 RESq/axtkHAIy5ICXXH4IcdIPLQRMkaJ1NaJWRYfXKMe+rMN9oZ7C05diVKmeKhfdo3fpk21z/Xa 2nYGdumLuSu1kNpO7F5sann/cU0hQaE7ltHLUsp6ReJfTkKnRVGpsZUSOzfsMt3QuvI6jzwHjBpT GAq+oLeUjUqQQL759T2KojphiI0xJXJBPMG2p3EzDCaKUIVLTDE3l3hZhnC+X+ZdFs+G5KFsMiCw THfKhRP6UCH9OmOc2YXiHpwpOP6J6xMAAtiQO3kUWc22+8423DjO87nYDQZH5B8+GUWGFJKOomBk H/x8rU6hHaflHwDzWnibW81I72SFi2cxooqurNjwOEf0ifRBP7Rpv+hKSVsdhCp2oVaXGk1NSF6+ jBs8x1gcpdS4j398mnwDGKJw2ET4qiJhG0Fsjbme4+8T4xa4682iP0WAHfN1ZvdtIDCbm2c/u6tC T4ORz0kyrJcHP7LECfvgTJh9eWliL6/QfdC2oIGvQzfN0a0CaobgLxgRQO1RSlPk+YdqZGZvfakQ UzMFMz003FZ41AH5GFE0AloM38WDC+o5ft2xrc0x2FwCHBsf53ullKqVFt8t+pNj562r3A45Nwd1 qBoApZWEvhHcOKGldjeqY4WAFLgeHYz67pYl31ZcfsQWn09sc4766x/xzGe8yj1I4faMBbTGGeTD U9FkZP6ipWQuopPvFB/Y0ZYNgDcPb46ZgF4uMs1hQm8/TI5Jga6pkgFQSV785l98VeOsUEYjbLCE Ekl8GqWJsRlDarCAZ5RFtXQ33l6P9rMXmXQgg6Fd0iD7jaoL749rNCMtfpeRpx482gShkIlwTEBn thmOvSD7ANODPUYCY/I+QwJ7E2YnM03bn8XM6lG3kS3bbpibCaVkLc8R4Pg9aXbxU/icI6EEk5Vm NClH38Nf4EpBPhluunebGhqnJ4CtrLVRa8jxU6BK7nKFmuDEa71RYQfmmzamFpciTmiijj3b7epf bwxJdrZRnX1NHJpc+MjGDrEOENe9H5ljn6Szio3PddlKps1+vBHtttiWSYqq/kccqPfMYDiIUG09 hXo2S3B+t7WVWVQPdVNMV4XlD+lL5ysQ4l5FIOzazFUioKQX/8buBvQBrdp4/bbNNCoB75HTBt0+ DArlykRT2Yh7sLVkeaBri+LtCinG6G5QLuNrSS3Q3xKBdJWjkifTAfAUeUOPWj0tUrQtudafkcj+ BB4eLSINogTCUBxvXOK5N4BbTHXC9HoO+wdE1dz/4XAOA0F+fEmIW9OikNjiBmKklrg90gWTL1Jx nij02zQMN7keJAp2hEXgNljPaOZNEoRIlAx1OwcvWGlJr0vPO9zkPv6jOV/2W11rOl8RkYhRjGJ3 pp8V9cE4VNCeQ76vcFIHxR/Plk2Y74nVzime0i/TboFRXw7FPqC+lnFP1jcZ14qEd6cMLgaPf0ap vb6Oo10aCu+pbsov1ae7aIqiQZe5JBe6ZtQGpP+iJhO/lXr/nUkTO9olQqxDU/zpr8kh4pdbi78r +Ms1hE3L8nUvZKodqNletrOzXLGVNsChb6gnkivEoxBQIYUKR1JWCNxfI42nxEGwUqtRhheymx8/ BGL7xkuFGW2G4QyHpPL3A+FYMAd+Qr1Ir2o2Io+hAxWAuSZAfPRjzlZ8kM4VsuLEGhg6x5xSg3Ml hkJiUi+HRY7Ks41N7FaaJC7Hk837nAlNEoYstLLX1oG0aoGyAlUXNtUY819o3uCE77DV+9iViMbQ JooOPrbHcX5CahloEHb7tFk9pKX9/jPocU9PBspg9mqIebth2TyLXRw7I1QcGbHTgv1rNY1fhMxD 1EoDYfliRd0/AYk5N73jjiendY2JJu2f3maS+8GElLlFIgDEqIUBCcp2cyzUMsLaJTJdHYhIUsNB 7VGy/iU9m/hkHUS4gdu3Cxu8ns750+KbB14O1Aw/0LOWoxXgLrI/FVnLNOoDpc3mxJmYrX3c5vUB Yg94R4LV7Rm2l0/08AFD3hbaRm02aV6XvcN0xYiOgwG6HV52zN2KtnkOZDN2bBFUYsGZFJo3jKz0 pgkrS11Kxew0BlAf5+JfvWqmCyj6mcBRAo0spe6K93ZRJPzHFtl+8x0PoXzZNNPHNKG7bCxamfpY YQHFErhQcOF+UG0nDOqusqHRgfWGljHv1bi9h1RPB7kCRsPz7OaSi0sltpOuzx+U2VJWy1LnzEeZ 886FJytRXzvFW+u8nMOKv5IlcVsJSjtA+/BW09IRtsMWimMr0RxUjh/uc2gcQ6rMIXJQb1HMfGWI 7bsVCH7JHZ2ZhKvefhFpy+S7cOMDqj8YUFlDaCoVqvfCsoAXOTGRN1200bFwx6Qpt5VWws8GD1/l wVbcKo27TxyWoj64ewkoInGqecPSnsa8xbVTFbKdLWs7iyPT6fafxPZUxGxa82wMRE9LU6UsFEP4 EeHW4NagPvyQO6TT+5e6kLQ35sh3H6KvvMxtD/cjWMo/LcB7pT32l8Xw9OKALjZ9RJXerzb0F9Af IdehP+p0GFICodGVD/8cAP1pn+GaoLZueFwnWQRwNGFhz8M0numdNNs2Lo0J6lpDnbQmhHpO2U1w YnoS1hz3knN4E/qCKZckOh00mwGiyz0jEPx29ET9V3BDFP+Bw3SY26OFXhlE7ZrQPjOV3eTFoa2g byEBTzSsVFGgY89dFoz8rvNbFiJI1hqsRAKtcNQ/025++6fdfysflj3NEyvkThNT/G4o2wLnJTQD +q3lxS2CkI9oGZEro4HwvtOvxq1v7TWoi6Q68gORbBEBXiWox6G7xnvrICpAECH4mIJaslujTdXl Vw== `protect end_protected
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_xbar_0/fifo_generator_v11_0/ramfifo/logic_sshft.vhd
19
29996
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block ccZ+VLNSpHtEulGuEKVDJLwcsmbh6zDXYYsSS4iGpirAhbXM3BP50jl4c3979n2YR8HDHLXE3QbX SjQosk5Agw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block b11dY0owYoWaWqrEwg1RlK8C89M14CAO8cS5xZSZiTQ60prhJpRDDBFmDC0asd3vpmdy6xip59nG z+R5fGAzPFXPwL2mdZ9u5u2h5M7NuqWsd4/PSQwIb2Zc37lWRpOZZLKl9FzYzSgF2YNv5/jfYnLz E/n1SJLECqBWTvKh2d4= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block NDjOIJz/ezAa2sanfwA4cBF4MUjfAWwRdI3fhKW6WomA0dTdlLUaUk3d7HHvjRwYAFZbgsshlvRP BFUgnI13aIFlirt9v75NS6zbC9iHo4+u43o4DjI7erTR/V7n1KuL02bh7njjYqFW2TM9DCTV7yyk HpE/bHTEqhTIUHhN3s21EIF7fvF256QO+AgjOS/tV7UeysPdiXp6gUoJ4fZfor+WTfQVkJeKE9LJ 0zpHP6pDYIRgknpLIxX5LP5O6x+a+epaip1DIHLGwD6CJeBzPxV1RVmuuHt0FXHAwR75O/YbsdQ3 OLvEz7nBONr7GpqlRI7TlZBuj6FdMW9zmU7ONA== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block 23D8eH9xZzeJ+Ojv/tdSxXVchNNJmk24MJAcRI99YbyO8+bv8JOBxvZhz4Qlt9qTY0ExdOGGGFmU aQ35HO0+71woQEgUY5FOSxt7Z+X3DhAwHoCaoUzrhIzpo/Vibci8Aq5CktZeDbbFyKqw4AG3L+HI gLdEde8Lyo1jpmEidTc= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block MgM0EI48WvFKRy0diETe4cjudrS6vIt7158toM9vdseTaMD0TZIog1UmAGNvdE72kJ9RDo475e8B 1F5FJia14jZNw9OSBZ6rrUB6Tjk4EmqoYQgrN7x0TfSl9ybfwnnJEUbiXZrL/obnsUVUxuBuPHw9 KwRIU7YdWp4ONQdRCD9vZVkexu3R144yonCk7ZQbQol5voGa98xXkFS5wJ9AioaVUGfDCcHlVgYv dd/x2xkSx6aLm3qbkMFW3ZMl2N86VVdkP+mRZE7JGaPyJ93l/kjtm21dSkDxSaPAALmdawaPAmzL 9Uhkk9hs8yLNZbslAd/6iUfM8JK7nIIDO1E/WQ== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 20464) `protect data_block TW/IethxANd1x1LxUanENC85J4mbEEcuRl2PechJXu3cPAkaoTjPT4jQVua1Vov3QlcPyi4f0mHs vhvw3qEl3smG2Y/0W+5GsAWuExcVnj1C6QDwZdDGwt14TaQd+Vj6fiqaVdQJPjTQrnkZFgFe9oFb XOHKb0AzCbGEVm5a5Tn6x8ZnpF6o/7rco3PavbsmINOrh6TPYVEfRg3j3zahCBmFZWlCl1mxa+Mh q39JB6o1mFvWMOOrKrzpe2ea+GpfmFsB9jsMWbiZT0cqg3Xpe7xsQGE/xFcRYmg/SZQ0Tmd7knRu xeRvkGqhdsQ/MJmFrEoXm9I5yb9eUtFTsSj2PIRGYFDpbsSBBCTW0DXMcZ51AodoQX54N6etS9eH jZABDJzFoa8Y0IJSzCN6c8sH+D1gc38f5duucm79U9DTCCGyfa8RvBbVvwB6Xo3mLBk1J1jnevJa teNJ7WCVNombKGfIKJDEyFW+l5tvHzlv4/tn+he3S/v9hJnD0DHZd0AyXVP9DefUYEZZBVuI5DQ9 P/TaCjds9E1L9jjaifoVawZ9Vy/0P02b4myTVq26zKw5/9HVJJgHkiIccW3ukvlWK/ZFySGH0mZ4 aylmLRt4QjOnqtfJg0JaNFrYNFdK6QeKCpR0+q2im3tVHqiNVVenF64M8NiKLNmqHVK4ZJCra7ZY gaVXyYyRNeHbMwJCEm+dOOZrCepZoP44Ed2zEGy2eFmZGDz7pjYkQWOHL4cWYLzCxUFjni6qHLMQ RlMWOdUzPwpHAJ9WfVLj0lFLvFWWNWBDo2014DzOlKfMlgq+J9TBuWWVE3Tzo+NXG+oFw2n1uxkD 6+8aWR4BNaVDvuYm7xzvLi2CuDN1taddnJ5Th2IRvovIkPGUGgWcUm5N57MzOXCDFqZ265z69hfQ AzS27dvaduGyVvaQ+DjvCkcKsx9iAHglQ9Vx0XyKcSytInPobd8gGpsWGrUVRF820aVVLWs99Jo9 CJl2OuNcMA4AWYoi3ji/wnB3KtA5upFR5lUOYpzpCdAW2b2KW8DsjFQgj+wFdotiz3hClatySpB7 Ka1yrNpmjSTsbw4pe5UvTTvf7nbYJ+KtatwLJ3lDJw5uhQA0zUQr8ImyNR5Looar7DraFkmCm6Pi yRLxc0FYYPMYvxRH6GlxCHOHvG6ZH8y4NkHDYhjAe09roBMvODBubT9T/Jiil4aWEaQxnnzgDM2F BRyG0lcSWkgVM4tidyusDMDa8CdFg7rjBm4hBfs6ymDq79cKOiLQNJ2+pv2Lj9qOSkxg5HZaBOrl yERM+sfBLzq8WhXW+LLtfvVNUaDBkRWs4HC25UOiUNrJpMvKgfwGbOnMeWKMZlFG4kCPFPp4RTUa YC47ndKGfol5eVxIWUyakEDif2MQzT8wM/E4dCKqvMry7ICLOqwqeODHkqHIFN1sUunKREVhjt2h +QhMwaQIi30Iaq6FlCI7s8+fJ+eUKf01vCIPCaV60nuX1fYhfvvVzE6UhZZ8cBaehAA9rUR38tQf EPQVMQmA9LjwCUspKXyuKAGIQBde0PIosUXD5iryLNk1aKGo8CQTVYlt+vNfX5LK89GbLyRlZWtv 0dOHQEk+9Zni8aoY+uYq0wlphwVKOs/xBs+UniHgtVFx+RC2xfQeXiwlTLC32FOTAtyLpy9UPAfx Gt1dqi59Q3J/9elngBfLWoWUEJsLhPP6jLN5H6VCyCTDQs6G9tsONI7FZfcEbeKtL22VNK6EvcgJ hcA26ubc/s0ySqP9LBoZOtp1h0V0c3huvlZQJ14sKR1lRXuVXlVhaXVyo8CifebFCgsEzsj6JexI E3KeT2EsG+JyOOVfopBEy3B4m8RP6VKe/jDXq87SAH+ITevtorky19egCuCcbHaNWpRCvApah/rz EoMSXuuxERatL1B0Y6WlYDPQzbaOWlPdcOV2UhZjFrAFjkQtR07CkEGX3wf4FO7ulrFTzuP70LlT umQ6gAt/La8959cFbJu7VbxSJJK1GugrMwdn44qojABmjwuFMmPBWVkDiRyHxWVkRbi8cl13ZUd9 FfaWgskCLNokIFpmmQLdYR7RMWQnup5uFxjtoQ+I11Yd37aorKzak2kthy+zE+y0ubc4PPzg8GAm oKT25WwZUWjp+cthrelbKfNJBQdwE0ub7nmMPqsNbMSQYEeNZYhgGJCFRK/dqhtP+K1JwG7xpDGV 6k04y0MS4LyC2TxzmE/MNg2LRHXvgcHsSquaGMYO15hUyhGG+HykTmDwilXmQon8Mjzw8dAUF41+ 2VRye1lfaKw+ti0pDpkXE5rXEZ3UTVQ6WUKcqwmklqoPBlFF0nV38sT5DG9a/Xf36ZLNhIGOCQC0 lwK+szvZPPk87Yl7NPg73Z+OHvf014JZ2gbSo2gRM1etbM9u3qCDjZjT0291A4g4DcmNL5C0Rma3 X3gzFGnS1N9H2DE4XZQEvTdhbzQlG1tubS1IyCMPoJ/09AC1UCK4LbAZgZyEu3w6mOVY6RyzikgD hKv6vefi89iRj12GxPMBOjx0hwPM/u2tMHEOWGj0fiOthUIL3e7loIiqSHFdOxgRH32jJsUSaM3T kG/+JkjbocDRZTTbuTWWnVl+oeSNihs07U1unbUDnemRZl2TpVwM0dmeGVJrvR49Y8OqJ9HZBCcs 69T05283D4CTdI/DRm884PbICpMrituZ78uy/oVJpDf6Mx0o9Y+3vS89RRdMlA8H4o5A70jPrwP4 rFtXsc0CvBOQSABU0jRsyHJO43yi2Yc35Sf05iTeDeog2lu6tx6pRlWrkVRClHGwCFOHR9iqNtoz zQIeCvH8U/Q7duL0o5HWAisUdenOLjC5efveF4xBjpV3t6Anab1MWcQQK7q1DF2P1ntECj5Vtcfz rNB9zKsPY5brHJOWQ4LFFrA8sAuPUDGSVnX6eR3vH4LwUCzZLdmUuKu6ucaQ5ihA/2TZ/yBvDWaL aU6zxRfwBmTEtZ897RlFT0pPYnDs4omfpMgC80RiXxJ0TKONAokQyPMfSp3GOEyaoeOC9mBvxZyW msytibpjdpyhuMho/RMk/b81HegQU1qb1gKtV2EcbwNZbMAtorxtoStynoZxde1SUpyNvQQETMGh CaF8SM0ijlLiL18AZVJTGTDcRdVU3ax59nf18z5BMdko+zHY68zk54J7YNFPMJRrE4reoYaAPpxY 2+9sHDaJbDiUmZQEn4/Mbbx/8/vzRggNNTlrZGEqlCXgxF2bfemtCzfNtQ5uMbhkvDGlkyrnV1Zk sfY2voF3eUuHBAy/8HbhZkl6Urm8UFMajsPnDXNos8fnl4az3BEsRRiWeJtF3c2L45USYB8ZsMVC Xsp1t1yrcoZG3YrB9fMomk7vqWEPUOSWTtdiYVYuRo9i6hHIRIZKLn9yAPO9Xx9jCk5knv1zKRSt M49AisWcEhCtODimBYRJSgEyxduBvhpOSxbeak/5gFddp8eGZDUy0cf8Y5xkEMfmgvCVNAvDq7iT GhorvOM2MWtuVOaMedpLynDjLWobskxbLH7g4Oss8TfqWXFH1ptvYQ+xUWIZNqn0HEsQzNs1FuYQ BcVpyvSXJFAR6BX3581ijGerwVZ4F1jX8a9ed/RYgPSVLmaXCv3TidtiYpuH1I5608wQO4ct+kMk nQt4yxXvDYEm0Twpbj/Mv60d7NitNn04khLpL/tMedTTJq+2DdyTG+TFTobk2PqLaIKz3TXUdF44 YfIhBSMJGXCHR3AcA5zs8Qvr29BIdbe9kUHteAq8OB627n7G7VdKh+6XTL36tGSyqvmhVGXBKg2Y SAsc6q6T8SQV8dD/aLwIkGcz4F/sGFfroT03bHYrDEKayBPAm4c1gXb3YKCcFoT1DDiVaqWR3Bjk djkide4b6BHr8C2c2PwPeMbrfbVKE0nch2+ARj1wIuVgPFTwZBc20s9zp9B6Xf6KGUNExg0xq4i5 6z1UTP4Jj+YiOd+CbVrSHlS2/Ng8mxeF95Re2LNLdJEIc37KwOm4dLPNXoQDqKf5tEDlX6A4rHHH odHVlEGJ0aWRG3Qk/UmYgJUp8AKBQKMUN8wh3FL1sZPHe+RCDQ9xQRgy53QCjwMgQ0S3Sz574BQ1 n0Dv/NpJpAmXmm/BNoRaCdXL8viq6Oa561ANRfXmA0HCeyF6Lh+hD+v0GZ/UtvHiR+CnJluUCDdm mQEqbbH7AkytOs2MnYdt07RG31Xc0P3viczq88I8rsbGMzdFOTPVrguhDPQl6GuCFKol8fG9LMko pDusLTXaxmv2ustBcWO40T0I0+Do5m5IY1fjqaRElFu04p+ORRZs3/JHtcbuUcjMprgsb+vd4luN d/44FZD63qZLpHTgcF1jzEZeAC8H8d2AJ/h9uOD/C7I1pr7wiO/115p9vPclU7SXbqgXrIR/VYRJ O078G6RnFBzjeDAPpEryrFSoFa8X4vE6Loh2mZWzBWla+hv/DgTWgRgRKF3O/3F/wTf4Y35I/vXm QFo0zdDhbHTTETx03tNUU7mkGjyrWdEOPP9wSYq9vuROQiy/eBQ/lXdZS9KKDMwFa1x8pNCgGWy6 wVAF3IIUZ4q0pTpwsJ0CUpIH8HFERzi298f+b63kMESuE1pcKc6vXVYUwyPswO0a02f84hEizNyZ QycVyi7bGwUscXUZD4OJdxNLOE3aWAxjyXlcM4bCMnqSFNzb/HYLMUhAT4gjhWSxDSswn8+Khc8M utWlJW6fOsn2g8YmxHAkOWoXr1R341a3Ki0NANunAlc56LIk3OOgrdAiATsKfWPFsmYNLU+YutpZ Q2f8jXBY35a40r673uON0ld9BXl+sD5X00JaAGTFpAcuoLDikCLxR2+ChOKjmNZnj/GMnUEI4v71 EH8lPUBsbGahWVP4gzPjsmVzlwm3u2O/irQkQff1QJky1VO371VUwSWfXx28y8VhSEARd4otjgip cJM8Pw+85yWeaLV0l3nGnv/Qk9HLraSvcC2yo4g6ynqRGQz0uF4rGtlrbMXS2EHpb6GTF2guODUb hJ7TRl1tPxcpyRhMidYBqebKUtDU4QO9ZH6DGjF0sm2we0g5dQxLPrA4x7W734DjfETe7jCjwvK2 sueBxJezFmUEIiJHAOF/v9KFjofadvR7wvBoMVsV0KMpzmQM7qBCiw9V27U91wmITGj2/QhPt/6G 5V17Tw1j+G7cLexop+DYX0zkVa++ME9Nc1E6wQppb1E11sodULU4Hu6aGBVmJlAv/kocPsRik9Tg dgasltebyjOWMDFyUvHOxfZgpwSC2+4KfhVF1gIE7OjJl/w4HUBX4eraZgjjcc8Dte6tp4JhqWXU eNX85690jY+25e2b9LhAzBgrLYVGFrgAel1kFBZ1XHMtEXOTEMDEue7aO60u0hXxD7SlE8Tx/89H qWa1Wh7hQjCkJOygksZMfCr57xVyc/zv2AFy80rL5IJgQZtkjvVVb/FwwheE+Emk4Ahk7Jp7jRgQ Rtgu8GxvNiAiwfSXmuSzxQgqhJqGRV/vvpGZKKKMRZZGRcjllmcIBrQJiG7bfvNNJfQ9Ynk6pyu1 99+Bw2EgZE0Aysjz1dJ+kAkyLP1t4tOLjJ0twBGvEuY3vNLh1joGZblr1iTeh0U+5ZwHnDEGKrb+ zK55k38WuqCNVjNWXnI9rk5rA25yg2LLwPoql4Jjwcbplshj2+SvegBaa2NaVDDpIVE+pTFTB/TS BME1EA+8zEw3gKyODulB6ygcTPBfjXhDfSe86HsGIAmvslZ86kzmSX5+sHPrc+OrqAeDGiU52Bo3 XhdzhV+FQk6G0TTbUYS3OUlAuy0mtLZuGrYkkDmg22rOJi2RS+Iw/W8mqtlNsNbKZ/bhECyeMxit YfpuNIsU5akf2nzr6QGs+zeFaeJY572hIkQ7f6OTuo5X474KXVN1wotNjUsuGdIbohKfH9Y+8lQD XqwP8ZEcYhZY0nnTGziwDymkaI7uk9KDk+6TG8LTBInDkP3eaVr2aFGsHTMCoywoy6vumeec57Ku jMt9K1akTfLAo3vh37W2wtqVpBhSNeyylGW79acMFdixV8Em3YbUkIzqGdIXD4DVHL/bvU10XCFD cDkL94su+EslsFPdv0YSIfAkD2OicZMDdrQq+pw4JR5Qim5meAM/U8bBOWv+6pLFAq0XLMkV3zDV yKuHfCn5dkw7wZK6aoiq3qlokQMUYw0CfUeDWT/Ykp4iZew+5GIgdf9c2Q7GEhhKmT9PTLmG7E1P +JjFj2pCYT5aPcPf9wbmJTqp1DrCa6mCLJHGTXsy+e482Owk5KFzb5UB3gbr/Io6GtjoI6gKdpgj owuvmYDN19AB/g6mXVf8VU/rWd2vECd46DeEwmaJUfc78ihGk3q9P96tw4m8RACa5uYUREhjQ50y SXFnjDQM3C5dcHtBz7/kZ8YfelwksfF1C3vcffLks0yPPhrTvapNGtWAu4lNW2fEQ2QfFuhRt4oG LS7y0092OSveqwF8uH6J4yDde+AqDZ0jvP1bM61+WNTuRsTHvjM3NauKKmrbBQAIXrbwEjSecyxM g9lVGe6nF5l6EGaIaH7CRdnPbHU7QMOswSrLn6PlrHZ2qUsgJXA1h3bncSfX4docReYF4+YJD+Qn SajmQ5b3aY5aLraZLUHYcSlIQh1T6PoiVovOfIcRfsGNQ72QveB8UlEghWJFF2kh6XbIDuQYKFPG eEZkSzlK+P8t8H3cyYC6r2Z/hXLkqwnNx9qQDNHGSm1NTVdKEvAc0ahpcffgCFbr+wal0hFSHlxf 8OunJLV/4wjruZwdEwD4ki/tEAcIo/AZEhA2uLSa9lb7wCBEYUt56tQOSsrJn57tenkcxLqmqIjx aoD9O/jplsCr4JsXJDPqeZnjixXgsKg7vEVOOrwKFYCZZ+Hf0CUXPHNeUUiCzvQcZ1xGtWAjCm5Q yvnHWRMg6iqrLFQoJ5iZMA9+RMC4MO3SuQ4dJ8ZDsxAsBnMsvTrGn8VDJSuuVVlynC0FdhGMMnvR FXPAy/NJtTsXXj4sIJj4uXlHKyqGd72kKeJCwVKepSd5RHXMJFuXN1tnFmj+byWQellhq0/GF4q/ vQmOd3NG8wZmsFK9uKoIvkXeBB+ibRCeZ3OTglXjU8uolEx6dsXtaGf5yvODuxI63zZJmkNK2V2q DyNJuyVTAHMQF0IIf3m8CaT8slQRg+oAJGgQA6mAsFmON/fLar5IP54NBxzP96uH+F17Y5DaRvDK hfelzO/oQa+A6RsFYj6ozDIhzgrcKkmxUgo0TekPgeqLMZSGHNK7romJcvhxcCTWUzKSA6Xh+gkb lJXguaKwNrgUZVUDNFHgHjTUzPWZml1Tx9DueTvPf4plz75Ymavrj2JTpgnC2azBV1IKG6inebCy CYfqy/8SA0D5lHKQTBotNIRu/SQCKDkGwaAAGos0OyWBXHzMvockUpR/4wfPZi3YqeHoIrm7or4e HXVGysuQkUj3VXBHwROROOytTz9qAxQUr420cX6dxJURwTAN7dTSYZnYgykVvaLwfcgxwA1IwRpP vYkl3GsEqRsaWK+MS67wm7Q/3RsHlcvQWOOJk8WkFJiI01QkEZ/a/jkapeq4gVq4upYUN01BXJx9 +vTpGhpAEQl/+RiDyac69XfbTRLTOT5VxbOO4/5jomZhgqTnnFwbNnWWOtd0I0lgkWSjNUrOKHnZ WNT8rvMBcXMN4v3T8H56XBpCwsmigQDAiM2p1M5XKAQ8O3XotB0TzMcjqnDADLQIzJj+EtEeHT6K vBD/0VaEuWmXYLmOJT+JJ4MU0HCHbEaDRW/c1nXqr6GJkU4Kkiu5k7Un9h2idVzd60fRG3KzFYpP LCSVi4kKznrj+OwyEdsjr02WSNkRrEcbwTlCgRinUcT8PSrsToSKcCNGfW62idZGq/3WxagOECM4 YjppDMIWLy9XkQsNd7W+CORz9BxHjzHzHPEEGL0pjw6s0MNueeQNDOviezLj3KE+tzW5mI1cSMM6 hZR1ADRuW9U+GzZ7bLXMVDd6+nRPxsn+LjxSr7sdTp//+XpAIm5kIna5gsrZUtyytLSPr4q52713 A2s3uQR0yAH9Lf+RAwCbbcJuNhw304wu4VPWpxOP54QNrFHgBH65NWH/1jo0mdPV/Ga+V6+b7Rqu s2tGPfWbpa278RAS0tXmnU6jRCqA9eVj1nfuco5PXg3hjPKoo/0J9kMLnNkA0HKFtxutYvOIsCeM LD913yyzk0AZcm2mfOwmmlW0LH9cdD/0aS6TFZGFRAYnlrsgunJ8wZEKfhoLJhUckkwSqVWwEDMx OLzPljrZx9YGgcEAtPpKAjqqNUiyp8Y43lPc11TpF9ALGCcDNCjYz5OaQdTspAIYmhOsO3Vl9ZmJ iMdILa3u4KacyPtXiVYY7wYqrpedLJVjdB3WFebon7nojqlPl0UWwWgZK+iBsoZNYtAo8H6Q5gvz IcQsLpqdQSBoTBolVjqYd3Et0pEnPluWdc20hkn2dyTTfe22McOcseIsdkh9mVpG1Jxq4CP9d7/M l96QdbfMQhaYfUmY65JHiakWLyNW5SdoYlwoygWlmC0cl0gdDePEXywE/VVwdztMoazlVs7MSdgb 72WBBUo+tOMuFbnRVEzjjfCfx7ZBV2eSzpTKvnKJL1V6lY3cMzRcrJ13r/kOrmxvdsRauwDGNzOo z3QWxF6bInTv746LR/pcNWwx0p+QmNydha48RuWoNdD0m1jdlq6YRA7tpxpDci+DyeEbjsLL3Z9X hsdO+c7u1MluEljhXx8TSYp4O9I2EcakwCl+z73CCEAOY4fo1m6G6vAs8JfOQ6QZOy8fVnQ2/WmG q9ke387jXQRFZrvr/BYpufAMYvZXeCLocnwBrElLey+04SF01bAXdyjKvpPWc8pl4X7cj7Pgrn6k c8+M8fIYLeBKjP6wlGH7eW5IkYgm8WfEPLeWHpcecw2ZRt7i1WZAJklPcmba/diFijDPinKYXojE seBaU4H7gk2sY4RPzxQdlqwgxu7XAmv0bCC1ZZtdKQzjiAhyRxtxEy1azTJGe21U/y6iPeC6OeOm N21Sa9PCSaxb/uZ5YhIFwC6Hx9/JqwD+QF9OzyZSWqE0NUlz+cCDXjni9yZwV6l2Bx1WXiuZsmbZ D/NAE/ttvKGyK5DbrPEOW93wvqF3eh8iUOUMsCMVhda06YyOmhrXv5tHIxvQnoZPiuLT9fd0huA9 pKY4MoEkcEnQS9cjm9/ZIkwIs4qmiYcQ6GPmfEYm+jjlZUQZq/oyiKGy75h3TfLfqDxP9t6wOyOI DbOD5XuR/tQiPcdC2a4lEuSt59+UiQ5Rsqg/w1AxRSmyLNQBPAFteW7nkPyxiPi1FIPMMgsXNr2y f6eHI1m2ZPie/LOAxIf/Mwe2dNV5jXo9zpR96v5YSFj7geYz6TOCuI0JLDx8QIR/uqGQwh+RJTlI cZUTMHj9U2Iv8cXZz/Gv63VvwEz4VmhxCaPMuup04WQZvWatXoGytJ3IgbxGbC1FbCS0IAFgBK+O KlMgJSt+vLk+wAfRQGRLxkklmlrRuY3H4pWnqxiqMquem5vRRfuVGQCrrPnie8XEpuwOBo+jd9H2 LHx/ksByCUTHFyISSyIsue3Uf2Y1KSDY76ctQbhtbT06F9Sj618WikDswI4iVOY0jemK9YD87aJL 9VRuPG7QeAXur0yuVroejGZCBfVCBGlKTf1u0jdqmduA48DMTXsVchj3nw1fC213iATIZkCoV82m om0QqIBPk56Ww9i5LfxpYrL2JUVLqpVXM5zWYACVAUg/h923Boo+28yQqZT4UMilkL6uNkQE3mRN vF5dfktVDXVKNwtczZnDQwIb9MEL9lEjdxfokPAhECPhtpkcUJRy8/uc0qdNNEWzfaTLuOdHg17H spMtGZ60QjN2dLQCFai5y1IiBr61w2OrhPOCbngSHE7f+obYdo2AMhakGjIXIE7WFKrAl2u3YULR Gm01S7qmGyCUHvMbK2QbqYW2/7VGAPK8GOggJYe0IkAEPFSdOe/R3p60/tgWErGxbn6sFPPJ/9H5 8C6YhLvsSHm15JV5d3ZPHPpgTjAwU396LtN9BL2gHfkHgNLe7E3DGqKI4uEwpJNGkuGmTknibLOf WoXpIZvetW6w+3sARDshScuS3SifWacLRyaQF8w23xG/yXwBiwv1TuhavVb7dVN99dbCTpTyPAHp 3lFpZQ67GDyCwAqEC9xpUyKdcoVk2EN86dssCTHHBFZmPVZoJSrPdxm1kZecKR4pqYFhRTYtIZzn 5qBX40mbL8SaZl8r26rfpuGy543ffkMp5GuE9ilIoCe0pC6DUefhxFqII6ISJRQRuGbz8UFB9Laa ZncQ4SyQbQlrEu5R7SD9Ve6PjZjaP9Dsw/5FKVNBBJNl3s99hNnB+Uc0MfKkWD7SDiauH7VsKujR 4+6ObaW0G7/Qk1UgfOZjZtj3KrtShbiZMHxekoBF1k7PI/ZYLyR8u/Nzp0mTz4jHWh9g0CaUrmSq 6Ag+dWoFI79TxxYhZLoLK1KBjUnHpDTsL9cmEwpOzMy0v0d1t/MxzrVWn5vEKgbhb4IIZMFbSjCa 1B8ri0lo+MKip4LznRiHUdDi0peKlMV0HSogVVOtuf1XvnC3Bh76sNK0x/jTn2Xa3/uzHqG4HKOw qdt7jlnIM5o1PX3Xz2YXe8mSTOKvOOVp6/LK+FVT352m+IH4fdhZnZ52Kh/vbVDbwNfgbNMFpKlB Z8ZMlN96bOCYNOW295djQHWmdQMIYni41cnydcxeL+q/wTdRFPB/p8dghG6Lns5BUNUgVHoA57ju 4uPRZl0h+fFYFT/eQAepOqlHbg1vPJDegUMy8ebqbvmuy/1caTNES1IzL9UgkHdxcEPIvMQFtcH2 nK+5VBI6+q2k3ao/0kmBlWPkQiGnYi72jx4At5/SCVfCB9r8g7q7F4F/HPWwE/VoygV61Fdzwrgx JiLj3PT3tJxN6TrWwN4olfkc543dF/8RzY6PVH2sSilgZSMSDybYS1cc1CHfuXr2zeRWu76/ta7g fZrYRimxB+Xt6esoToa0Zkaq4RwWJN96uypj1buWmyh5w21EpbsjJ+nIdV8hU9HTPb6Cnux/OpL6 AS9/YlpcHNxvrmAc7qXRdaB65nkAVTmp1qHFlm+tXsrPDdwQmD9FllexfSqCi/OX7vQTCoM3JQ6T PNkVYQPRgI0oeff14spajHGULLkQ2KI/hWn6XCd5o4+51/d5i+4ySJs5DkQqhkUFMXHJ0vu2n8Me 4nW14qcIT7tA1sP85VqZKqL0XPNtzeflHHbSFyxllYmppOrhfjYgfH4uVm2vi46/cJ0AYs8JIw1k 1W3tN8mqu/VYbp2QtaPNMSEhzA0qLM7398HHpt6JzFej4vE+HvEvf0wAmNC+yUkOrQ8ZhgvYgp/1 ae6v55URUFoGjibhZPViuZhGxFxrJP0YHQ/Uz5CfiaiBChHbx7BGYHtXp+GF4e6CRazDp5uQfWIT Fk/gkNYWJGyC5IL+1jPJD1BlCR17zUviUgsSmhqQ47VSNVmgT/fnqF7x76y8sQ19X7uVWTBLiVrO NI4dDzY/ZImgiiS+JtNd1AX2DrnrpRE68Jlo/PH2h1R5Okf/AMk6wbX/YUiLKRsA9U8/cfFbRuTj DWdczAW/KYiSgsyqaOvDD0Q2qf9FO5ZDALjixkhyuobisxVn7uwUB9y6e7jI0VaV22FJuavjl2tc fG1TCQEzA0v4RRB+l5i2pf2HfBH3lzoBSg4pSCDIT91hUNmiCsslsceHsmAUoY5yGnrczLWcItVR 5K4sno1YTvhbpEgK79pDjC0fKNFbx/bthgZLT2GRbSkYJ6PO85Qco9liEYibskuHr3QoLeSj1GoP 9vg4OYp0hawjVquJhr0Dbvl1oYdSTyZxYbGCgjErZuyWB+qaY29aS3LaA0qDXgQkHjRly544A5FX 0JoWB81OP5kFHPsuDsKSOgK+orjJ4BVQ/2ckjb9LI4JMvC8PkxsaVDNTQkrxAuJ84OfcemNUtxwl 95DadkvFNSz/lYGxTyYE/s6q/WO0yCWte1Az9YQz0HL4xWp38PivhHTSDYByhO9DgDlmEuQTYdI2 nlGByih36/X8roC5SxHaz4s0P9RyPk1EaSf7hx2t1bFUZd2d+G7nsnkmxjZSxMwAXvNviYGCVfYl rJK3mnIWvS18PsnV5iqGtyPoAFh0i4TH0YRpfw5lkFuN2Iozu2PJNSUZzk5hfvrOWLrc9Lxe/wan 8WCPBvTsPgx7UoeGeHE1Ww8OeG6bFovM0SQaUbK8kK2jfC6CB0Q/oZEaW6ibhuUqQgYpFinzgZdH icScq447VAcOzLh5fk9YuqIODwHm7znNSwPZ5rfU0JLcUoMbEx/XcX6cif4QE26qLwT+4z70dgil d3mKxdzDk6STzxxJyY0g69S4ZCYdmamgA4GjtViFY+dt9ZVF2TYcaXlnVUWvpTinra/bvVGvB08G T68mrmOxjWCi6r9DscT64UvCjm2SxR2OQ2eMeqvirg12om32++4mKtkF7m9vOgxVIMWM5M1kfmZV 327GRhZM6wNXWyhD/Uw7TeAhWaE4BiQhsOw3rEUKmNH2SZs0vhJDOLO6fiwpdWd9lwbLfc5SsZTf XizMdiyTd4bK01CXMeCJzcNO6r+pt9GvaDmyHfnQVtFMGhRlQ6Gu0ZGXyF5PLVQkjJ90BvIT/EbV 6lYtkiLHPv/UbvoA1kCD45RhQr2a7bfubKjbtNzfZE98jGLc5ntlW9xQvtSsfGrKFyq5X8R54lQI JD/9BUp34MgBeUi57Mt7PXGfJycD3mq6tUXgEh0xL35GIR00EaUTRtS87SG0VIoDf3xr7w0H2kAV UmuE6l+WpgnnOHFg31gO7FIIg292SL5Ed62VOEDl93WeZfM/nyutGtzQC0U9RD8AeWa8GAOp8h/E vgBw0WQqqOmwC51fvWalDKLqwyQLzJYH2S7YmjzliHUmb/Yzw3HFkBeQlDSEkLubEzahP4KAXJRJ +E5rNF91KwBYP/6OCR3bfqQ8DClRSUrsOcJChPhh39uwcaImQIMYONIhz4ywvwd+VdDGs7/dlHKx LRYLkZ2JSM8RNmj5rCdQ+RfyyrgFALWO3VSfJawYNHgdEfBtFLofjpewP+tScBHPtfCBS7ICGfho +zsYDbie/T7fuzcoW2/iFSpWvNPG9114jpHffCSF2UjZfMgvgsrqwKMTmoDGreALT086YE3KxPA2 nVDM07xS7rxLXCsQYVKXEgJ264m92344+mQ66/koGttZF2z6xE9iMaKS7BOhY3Iga7E0KkqUJmCy ZOvYnpjpSxC50iPGgp4+ZU/flxXcwD8Ix1NMbrkJ0S/etS6grI9BfnrfPoT1x5vFY8bWbZ5h8QIb lUqur47vUQf95bDipZpz6KYKr1UcCd4lsvFUHb8XHZmE267ldTXcEB2Er8p/LsUVw8Ru7+JK0zxf zr3MuO/caELqKUP6kWVee11xENQQu77V4aZGMMU0Dc20XrZRv87HPY6/ewVowj+kfhNC+3fPXMb/ pVQcnxpeioVGoKU7NJD/kEuUkV35fV00/vPEu8y0KwAamy9Q6Qlowcmcde7chQVGaZBY5HdIKLu1 4XzVQtzpwf/DSeeD/PnJhLX2PgztTJlcw34qOezZ7bFu0urlrWSDYmXE3y6RtxLHt6/peomSV/0n bfZZh0tjyRp3YQf6aCewsoZzXJrUP8mUTL1VNVMB1V23wkZHpR0Ak2KxClj5pAOABnWL6nyjkarH ArEn/r8JkR0B6Saqa5u4hH0lIP7Es/uQIBqCo89PLLwDU91uJEzMlr8YSMe1CpwhmwK7QMPewnVX D0Cliqe6BOaWxrkPZjHucMpjibzNK9g15pM28gDCdXZ+GIbVeZQb0+oztgTsIkBbG9C9qsCWI1oD ja6nODchVAftgM+66UeTtKh8RFybRmGYe4SCN+jfFLGZWeZQ+PnOQkzuddfw6yT9T6ipRLq2epqt Fnj/IW6iK9e4cRe3FfnZc19R85xR5czsflyPyIJKWXygKeF5zBZlAL3Od35E+v1S+1U+vsB5IvjJ +AWS/GQfbBJ8qTsaSPq5JiSCyl9tx/pv80CUq2T5Pvk6Zg4FPX88sNeXMGqMWTx8XB/zDiywVclr zoFrVM5SKqiXzAGvPrEtRVqYZIpQR93nJXZeOciIuWkHnwdVF6Rt6ZI1Vf3NFdgpA79LN3Juk3WB l5Z1gpQt/k1uqdUZunhgoLXjseBCNtZzZDGNPbMKrV05EPrkI2NljiMKrtL7fgFXc5sUUPFw8WBM 28uEsrLrBKeX30ikEHNaXq32txSROYE4r0uK241DaBH9jPuqY/mvjKpgRM0jZWkU1sqAEFdgGxkW 3FptjdZ/9u4GBh2VplixC/P+28lZrX0dyHNEWbcufNAPqP73yVdXeXm+TvjEatNIOzx2hM17XKS0 ouG1xlmn7QfecwCu3M1o8QC56m71EJtuILa3ZcifPtpvjnNVE2RPLYoF/ax2jCLJXdVRdSM71QqW BbW5QQ/6oIjkRNDOuZoPs/rl+62xfM6OVXc1Y0NzyitwOGpPha2aVeYMiWpegP+tXTFbojRFVFA3 hI2412Qp36KpecmYhDm5ZTTWVuDUgEI+un31jomBKPMJE/1Wwi9ySFOzLkbnlfMx45Y5eGeYzUrZ HtQb/FRCSMpPhQrCaZ/7kPJhKUWPIDgHT4sqmT8iS855GbKjolIjClYRkgwVEziTYg+9UqNNLLuA 6wdINp0UL2s5kuvw/SEn7pLMZX3iY6ZssjPzxlXreiuts/M3gmq/HIEpQP95xu7AeFEbfZnDxeMz 1ojGTsZbLN3ZtK3ZkDWOJ3ODcB7vmgaSb/8GsmM7Ssathv9Bk2ihJY6kV7MG70RQY8g2SycxQz5c pY3MAxRTnGvrCmNkD3hpFUwCmqWDYfMeTLez3ALuYdZjBbCPlCygcn82OurQa1PUxFPd1PptqBpE 36yxs60ArP4Wr0Kujs5VgI4y5Lq8dwYMNRkYtSaEeI9l3Fsj1fo/rMZZrsXHGq3pcTKfKsz3/xih Z5kNkS3sgK+bccD7VRHGkYMx+iFSZfHzxX09NbgiSNROoXshGljlLnLqBIn5FM14dAZGovR/J8Lq PGGRZLoTnqV+3q7HE8MUmBN7QI5A7uW4WmW6pNdv/noeDc32l7wNzm0NU5krzB13cO3HG5TOsfrF Dj7KDRHPExC2uPuYTTdwmm8XPtjNaRHrQmcuUZ0Fr2iSlVWaeG962jl+cszD3Gh6B8P6LjpmuRpX RMUuo5d8IT4qCPgfq+gc3sUbuMknY05bcZGxuKMUbqwZ/rfCk+0N7g/xYZ1HpY871MmLNxOUl2e8 b/ZBjL73f5IEVheb9N0Q1bqwUCF8tmYaxYhdPtWSOGxQ+XF0h7giMOLuefa+IUmnKK2wOjDy3Tjs LVlhBNAyJWXwjSCF0QAuNQ06KBTA2j7QvCxIS/wRbBf4/J+ttKLdrZs2bCCwnKyNV9bqtcUcgI5b gazXxZpGPRqdDjU4VEjXllgBex5Vv5W3RCwNfX40/i4MJRHCunXEA03/XNdeK97hWLoSCnib2/ja e7qfoMP9U2PaVuPeGArkZ15Np5FMlXlQBB6o45dgOl/vMmRFW6zyEds+dgcz1TsRi4W8ok/pBL/B 7NW4/1tpwO8Y4Ib0F8QUi0B4vWhLra5xEVzIsIcEvHaQIel7xddfZcxlBEpG50piNgl5s4mpHUXI H4PLEdI4Mw6WwVJmbBwx1678eboh+eTJXwR3Y5T6zfC5nXdAqPVqFiNXfs2E1EEKOd8EUNaEDyWS s2aUloM5dtIqv6rMoOQhfw0zdS2k9Qzp0a2MpF/scnpXZf5TfvpSwxhBXMCaa0eeupLraGWn1BXH JslbLRxO3InRkv0OWp2d8lWWhm0JlWY/f7kHwFSqsrcPGNoi/aqH3G43raAusLNhfQJ934qsTZ5q BOBEIUEdQdZl2ASN1RhaUbZSiApPySM9EBkDhXn87GUO3MvLsL+TL+cHGmy/T8Qf+BG8CAimUQzv JneuIjQXz0lSSBq7FaqhHd/xEXtslGe1zAtSie7TEGFaWIVkuNGZZnV3DcwN48n1y2DLgDE8GVsk eC1APKZgH+nRY+rzwem+Dv2Fce/z04BzE6gdOLZvXKNlCz0Zo20mO3GGm8kXyr5YTokYJBT2nmJS tgAVwQom8hqxgDJl4cEuwHHRxZ9aExgt6C02aez6xeJwhFgHQG7V05Nfa6p+pDTg10WtMDlzXf++ KOMH+hJEHcodHwPafQouSezgN9BcM/1GZEaDWrDWnuSmkfq4EwRe3Ksq69Zu5xS97cuKHhcxcbWi bbuckVyxwnLt72XdMFWdpwAKDZzUnLuEaoiBHTJJ8sd9VyZCnNThioEyrQLthcBIZWHRRcEWD5Je ieLvFf8Cw4SotF15V/UwmOU9Qud1Z3tr9IyQFSLa2OgNVpKB+UvkZM9WQUc+2E1CdP9y9CLxBM5F xqECibVen7WTvnyYp9bybpt+uHiSBDpuyg/RtjVua1K21aINxyT1VAnxyjkuKkURbA1K2doMMzCy 0CCN2dRC+TGBMEPAqz2t1F1yoP8lqfbb79RsVGMMcNMXsG56h9Pyt4QQJeqz3T16fG25UE6h00JV wVCejpyxWPiURgbQ5fsXDxj4UxZ/7rPgY+b765D5pMgH/mGTpLSkG7tMFr6zkKBZGovkBKG0g4ZD 2jEVRLbNB7rJwlfc17j37Kf+hz92jdMFyuS5rWzzjx40M1adhQ5GfrarQ5oZooL3trZtnQJ7YoWP t0xJutzVfhn4DAaxiMJC6hrZA81nGb26oyEyAgVFz/thtynUz1v5UNFAo1TWQXM3HczX7cPUOQlr dNgbz18WrjYAEEPmNiRfRhCx10Cypyj6Z7TklF5t6ixcaN6UGNpUI+JFLJAZvBIPaz1WLi0Ab3vr jjgQ4uWuuMiLkhNzFfjCflna0fJWVe0WLyotwrad2tHQvWmH5R0y8ZfHOiFLG3Qx0eUdIEikzVdK +6t3GAfnGgVj3SZad/zIebTmd1LreMmAPdV6B5LPbFf4tCfKwTQNvUH6E1H6N2huD3omfUcG4hr7 esOI3W2Y+i39Fde1f1VuRENslVZYXLt979pM/4Q2i26zRmcfi91J36aNpGxEWhSwzFs+HQMA1XiA uf07Bqio0straicLxjrLxroggWAPG659Vs6UPf6ZXdS3ZZenPO7VrZ8Q8R3kzklbRm8HxQebmEqB XR5aZdIEl+0eelSP6LNaNQZMgjop40xOWk/Qkqaek3mVeZgD1BKD0AcOQ5ADhg4bE/rRp0cIBLof 6RllM8jwOwPbzeS0hWUUsqMGnxyNxO8j3SveBcJqEHCIUYUGIaukiPgLAoI2Ik2Jl8oNyDUifhf4 wN5N8Co/bxm9VKMgHUU9pt2IqiLelXuYFWkhuEMd74geaL7H3OFaSXnv9qPZgHSiQ/pEpzYlmDko SdmnK7h30fHhwYLrB8A75Cj/2hK24207zHZipE7IBaxj8AaWN8PoWJzsjpL57tDmPnVr1MGfCBtt Ev9wMRcEkwh6o3F+5C/wySrpKtyOJklYxCYm4sqMRDFUSwZ2wJZPP9OaqqkXecMa+cui8DJViYEh u4a7WAFsZIrUNW+FgCNa9tXiQYE0qVmixRzfCaLbGumRibcPemdndlby2UnXq7g8//xXF9NWu+pS Qch0bHLV8iGQiQhEB295C7T15LnLv+T7b//Wt8nmfpXMFgNeIaqW9bgb4ZOQk9T8BHaPDG/Zkkam UOkmHSzNFQOBpkQwKHEIk3BEi/kc5P9yITenRXewRZXAy3EVGywsu+tZA1KTGKekBpfB7N5sO8uO bSvgRRFg4BghafxNmINGMk4Rm/3fmqduko3lP9ObMzq3K5irrSjqw7/zAcpp0rrWQgXffIZxv2Sl f3GNxndMVjRBTnDJ1OJ5pg4sn5Ql/KbZmZx3fGIuPO/p1ZCkpsNnIOK/6eNfHySUtrldi39ccxfx IilVri3g7x0aAW3E4+tQEwo+4SKNtvpGIZx1jBVYdSgz9HKPiRuYxEgbYEllraA9qMdt2/jjNtSp jYh9F1x/4GeMbMbjzbLtEhL2Bope7FqZMGY62PYOFihi38FeaDKAb1VJOfKgj3FxnLcChnn/pN7O pZmujPons/IqTsbUmm5f4cgQT/dbC/Wm46wmtr+b+jfBvz2+LKNfnmhKOQnDrJ3j/8thqRw62Qi3 1z2QtMu96+ypCOprfBq5TxyXkVmVbNfSuaAfo6jRUuFSUxJ/e0VhyYU5QbsL/0n1mNQu7HmUTlbm HClbuqm2H0S1+vJ0meDLRjK9xPoAhfMrp5K9GSD5/ONDTunNSymMssYV9hsvXFYv7EBwawUf9Dmj 0ht2puPlKSShhHfLORG3z1ZJYVHZ14HKMRSJlnYNYWtc6ht6q5KXvMecchLMH/XQYyy3kEV3zSIO tfcB7F9Sv75SAIboX0UxNT05AdPRjJh2zrmXRYBjXSXR1XsE6B3Ekt/D1jFfS8kCC6//wUhf/bGs ePpg2pigtIf30+c0S0jsZic+uWzp2aJ5uo1AQaCjt6imXC7lRbqNbTD6UivKfzwXBzbKdDvx1UVU 6n51rVKSx65gDbZo9hpw1/eirNe87YdXFLMTEO71YRZP3JgdI0AuqaOzKQm+nNBk9iybaCcKcgIm wWQITyWnXr1I/2MUi4Q7qY/HKQlBfDSoVbJ7a4x3AK96yz+mLDd+RQDF9Ud4lF2foaqLIEYfcFHK 8sJQBJKJCoZeLLfHUvcQ9YnWdoSdQZoWw1aVPf87jvVLOieH8Md4VBopflq5k3dQN26dE3FHmqpD tkMwYhdotuthgZwBya7Q4qaKGdLCcuFMFtPMdJeoSrl196XZZ4mq3YXuzQL1x1iAVpfkrDdC8gy8 v1O5jCS7H8wEZ189gR7fJ3izhXlvc8+/v0PKYIKk0mwmk3+KgLNxJ/13MgGHq8FKIFGp3L9RLF+X HEx0DLei14Ik7ZglqbiAXeXWDNgzAbvd54LnReO8/rV+H5oBtab1oxG/Z3AQstzPlHSjjj0h5ZtO ON02tu1GiWGAG0t1HHu9ejLPfk2BYTJlxOXbtqZ2ctvHqIXStlR6iEfo3hoDJ9UxoT0B6aDst4jm aOL1ev8ekXlnz4THWyy2R09jecL2/pSHii2uQ7WxAw4BHCd+jyANnXrgeNeNOkHJPLTVNvuNfH+/ WW7F6w0GwkMeogZbCLF2Ld/ZAo/kgjUybvfzKxFqL440yoT4ftXZ37wQE6bx0A6GzreyAO9408h+ bVYfbr4p4FKWHXw13qR/siBKGQv66ihpPLo8+hPlnDZsQ0OytAMO/h290VgxEqvCli5XWAsjqR3S oY2ed4LCOP+AFH/+xHsNdSpDWYtVISl7kLoezzwUbXp7C3rg8AZipzbWHDD1quL5TDi2dCixc+rG GzAeNV6DMa8bdgmltOL1RtN9dgsx00W7yVa9F96EXUDVwrKry9brqxk3WxB/OVXPj3rT8EeQUH5Q l2WxRRbybn4ODTDu9hr14SI/mN6R7R7If6+7/QxQUvuJAZ2Oo/4iLWCnNi70iwCAV1w7p3Xj2ypV dA0TuRuvDQacHysUrefdEAGXsbNRjU2s/mseefZE/OdgaiaLUf4O+kO6OdTRRpeADwBhZ9oqTCeq 02sIzBiXTpd/WiH7TYiE6JqjBt+CTBl4tsFfCiTbSJCgR9mF77/K7gq/5MiL/H9jeDIjcX91pOSM KGD/qbHkw/p2nPCN8mXsghvAfHM6B2c7We1uP2ig58iMHycLJqd8vHEoR+qAmfAwbBFIp0bukBdD pdW9VA0ptpzFwRBXD2XEFMkMouMLmRG0cY33ZATW7f8TGcT1KqEQrgGhIvfa3Ddw2qiDfk+HiE8c GTBkZuE7NRKh4nK6Ad4Xp0tcyy2KRrSQRuz5QAlTXduemGlV+sR6UTqE0wtrrVu1SJbGPj4bBBYp 09VdDf5PQjEcvBw8GARiT6PyvRxvVlOaeCcpSac/K1Qy+XD04WZTd4kAfFrB7seceJSHyRWaWpXv o6zgyaL5sAaVDK3jwNf8lRqR/FKCXXxuBmHOl756A3xbCSPOxg9LSOg1Xj4aLTc2CsDgkn7q/5VP LZ970fp2faJxqVcf6gljrEAc/T0o0pAdH8LBrn5lclTiCV8zjLm/qRbFm8mczgfvp6T0DTvkG4kd /8BXK0TxAKR02pMsLYPHdlg66m18U9tPh9kuWxwQmIigEDN88H3BIUqEq0vj8Q7uvS6gcuCY1kpl YjaE/8IpnUGa05/pT4TJfKcGa8hBO0iLoUZ/pi6Ryco0Qyir+v3hd+/mYDCrSRfw65AFb13WV0OJ C0XXbbqH9HmzjOPzA9BnNY4gYiGw5JBpDFwhMqJ0sxJ5uQpKHiQ1ryPz5dJaYK0+VGSCii9WuIGm M0IJMsfAvCYezP/N+CfshckuVAaS5sYGcY76Wn3guOdCCav03Qur38DXBNmQH7lGrBVHefWZl50+ JAoooFjLR0yCSJKUNAszQwzwdADUzWolnzwfFP4ag64j6+2l9QzNXI8NwgXv4NwjoWamKdWfR2wz 1/bNBaBUOA0UbkAUK3+esekPsj8u5jlnnSK+QbskZnmR/eb/t4p00jvWPdvvBkgjy3nnJc1sLj39 KxW/h8/dOvm8sAxRr1lIDjPg1uLuVawxm44Ow1yajNPEaiJHpuPA7W9pOHIsEGWleJpBCotfGsi1 NmghLZhAtH7XOWRG1y+zzBCP0hYamom1tj2aE35YhkiBGlI60dVwUWnc+B9MRJqhHdpqbdED5e6Z PqiyAadGgl5nAOUHrpYp2BwO3kZ0Syy+UCnV8xku7SfYV2POrCAuASilkcgY8QcQ3fOxyE8LeIEA KNGHMZSNJHyr8n83+ARTMBV9ey+dm46dxF3mzNKRJsvegUe6qU5o54Hrjv8qOl5uCp4RXrizZJyE 2bIRj3mFXOZwTQM0zcV3Li2rtHhdDl8zmER+usFU/ZkOJsFX1sFDNglC+90SFAJRGqXRs1mA91kI B/qqqhKNuDSfCpwd3p0DTBORGcxwvMut6hzJcdts22mOfvy/SXu9XJudMPXsAngZ2CZgtao4H/VI Pr6oU/gTEM3zLjO6e49zoyHqmolYuhavqw8rDzqJqCIdNrDzh+N+l4niPNdi7P/6d8HALNPCWSza fGBLBJqskvelTuTfKkPxumGYnAxh8eMemwuVqzTDK6dMD3BO3qDDAKglQQWgr+q2a7UjQu6FS5cD tM/X5o6BHDiCex5voHA37Jmxm49BS3wIrRLFgOJpkcUw1XeDmk2WgkVfgj1h4CuoI0xOoU8RX3GR vBIKxdpnCnybplFwylg25We4F3KSKdus0vV/eUuEehiaWXHbnJEysFM1QpqoBJYul4r5LJmdJ2eG kUpEL5zRYQRqb5SBlFe4Uq1ShETQYXTFE4M33CoN/F5TLwYWCU/Tp2dNoP7/+E7q6Uql6OYXCdAL /85lBvZbtcGdfl8RFh2ah8lcqCpsYdSLcSjrJBrIw9d35ZMuQmtdKpsS1pNsbYJ28SA8DHizaXqy CGdSK+7/0DYJ5IuDFmY3ZhNRbVLJxTIFLG1kFsmjgWAUY/xcHWbgLvsPaKAWxMhIMoG7iRaNVU8b CWLAM6eYJqw55Kyxb+ugIj56leg5hdcXBdVq3cWy8NqXdiKuoXZi7AMSg+jPdMxCJpqDyTmKirhz Gd0fYdQKpcJYvQQ1ao9BbkalpGEPIiq5KMwiiHxm/UvdQ3XQX+3Xmz1f1B/8MhlhruQlA495QiaO AczHfT1ekn9zb6GA8AGcsyq7z0hXibWLcy8u7OZOBYgm1Ij4nui7MS9j8rzxkSmEa2CpiSbjdcSe 7qbTFJu4yIgEz+ZT7srDlVip8bvUWbCjUHxpO8FRffIzkxOpn3+xhJbId7G3+r90kt1OMObYTRGx ge1HyX51Mrj6sfPdB58zNMfDjSZiyZ7u9tCpI4cBrAFLRyTUhmc/PbsRZ4xTiV0e/oUJQkBoaNxn bU10YYjzvEQTQRAnjWm3SFTNaXmL3yCZRoLvWKiVvrykv4XbFrjkhN05J6HUlvTFhQV+bwtB7xJT K6mI/cbdruvitkyXaMdiQ3Ce6m838QyYrT+FZl4NCH/5RZQFvuWS7Xe6F7ImYh8FU5cwiONAjBq5 vEruGc566asFSXgfNa0bN6AWFFKeDMryWFUFrgOb+07EjXqcyKRSKiBDS7mVZadIk8Rt0JIquRdv Urnk4N95REQImWT9zIgVy407qeo8XwGLGyhRQLGJwXJUl29iFu3zVflXfeosMPYwv5flpJCRDHNX hgvWZPdwPEfOxQewr0ccqOv8B3EOo+UewmKJL25bWlR56NJENY/fGbWPrPrD5yyf+3gSiSzToPCm qaktNGWD7mK9I/YFfeZT2FvdvSD0MKEKTYSlWLqneZwD2C3L5gCIqgKfRTekGKEaRmmCDbE8n/ea xVXrgzgPKhyuIWTomj8nfYYXzP9Blz8WuVuEMfBgjG7wTO1Zgopd2Kn+x9A9ueNQj9XHw+iK3/ke pHChSd5IwWpQ8YAxbdSGIxC0Fdrc9MD03WtTyrCyZ+sUJ7w7Y90qtt/47yLC0lCQvLJL/1v3sc7C N0eXq6pxj51UZW39PVNeLaRZz+sBSHDjgoql1O+GmpJEmZJSAwh6Hu2p55oufh32HMVb5kxfKbB+ yT4cHuT8kWueDxYSzJX/c3EtX6eU9yeMzMy4KQESX4AJk0W/hNuHpLEF0OyTKl0BsrbnJQ0ol1Mp HAmRbkFHdlQme9/radbVQZc6IRkpfgws+0LkM0YYohCH8uKuSi0yfE2rcIj4Xwk/lUa06eJw3Dwe 1FTEk4z0awOJeBywTqXkjHKpFSIOSsjoBDvRuPODUP5u7LveXdrNgD0L48UJxJ6RDsWXQtLI0HaQ m3ZfLqINb0qzUMx/iHIEYBtQRz7KSGwMwioyDjy1OE4NU+IQA0DngvkpVqZPH2wJNUem6GqtF2xv 2vhynR0U5OLTdXGFbv8HGtFXpDi9ygSdfAlfMfemKoVLOa1c44R3l+tqoEotGi7fKqCvqLYph974 YyyIQyvmmKmwLc47ff+RthDXsUEaNNCJhHkG450bLieuZOaBSoBTzYxKyZZLvpYbfxc7jlOZbXSX /0EQxu5w05wDN/eDnQASjpUdPdPm9ZiouJdArG+43mqsTUjxSKS/P5EaPszdpUvZvkFg/eC8ZwAW hWgvqjRo4IqALXvTURmBu+AHkLI3+orIoRyzZEjjvqg/5Ex4Drb7g9Elq7PB9rWw5I1qN1xvVb3X 9IKdzHJHhSXF26VBTZrOpqg7n8NVYwvfapIiT+RbzqSRAFEXyru9R4kYOjFSlKXv8f4/FE3EiNYC FqnkyFMnpiSLaptRZIkybNbKlpAgqkXmOOpTsYldGS117yP4kt/JWmT22VrhVmZGjMuF5twilz7i AMxoY7k9xVFXElCB5VOtaXOK5Sv4iAknhcGiy4wfDFHhzSbeb5TbttQTduYKqepeDPD7gEXitqxb l1wmqHa1dU/jY5w1bQqTzVPJjw7ltziAklFyeMIa18olFbNd8fQ5AGM9tHDv7u2S0O9WahbFe+FD a04ScfcU+ewkIelahCsnSxxh32RGjIcIpbaYBg0urVdd2PzAGeHj+tYL++/gqb7EyYISnM/tX1+q S6TXA9uiLi/Vzr+nOIhSUEaFm76bdfbej5Ov7wXrd7vlPDXzdwpRp/uix2McYciytSlfKEE5kCla aDHPJCEPh8tW/G6CP4k8KDm1xZPksmy63jTxkAM+0vFtFAAGx3ZqmVWHQP508Kfo2b32qygNJA7Z b4khsXBIM2ACr1g/2Q+pKxwlyoMZUvL55EU0Fs6DL+a/w8fNypd/Mgi9cvQHLfghuh5VxT4hkZuK Io6O5u+G28hOlP4H1frBq9QkIL+2/cge/1PUjyBIi9NNe/UqWcsR9oEifi6pEVdAvmZnNAonI+e8 snryXouC1UYUNIGGTKoKPQXCr2vr1E7FGVfr89L1IW4JxRXM1DRVGdAghsQYSDKQbRVAc1l6pUrG KYm+fCgX0mPThUJYenprzzy6YchlarcJkKr1K9yzrQckP+V+9lH28FITndDQGUICWYG1FYoWaL5q vxZMj2cxq7ztzLfwenx4doyN6bxN+2wRRlF4TnEgysotjpn2qguXHlZIjKQt7MsOdLotjZDubPgL Ws4Uq9AFs3DL6srRUiak22DRhgvzB9hHCJnM6cdTIk4R6JAREqd2AkOOcqKUVLkv5OJXEIA4UTxd ylRYBZT5dyaLqVexPdeEND/VXgNo4zy0DU+022wKTDOWGpgaHj5JZqJHSC9ggkAVbKELuhvd/oxl Ljxec88UWIlD8vpe/wLnKTBzwnZL9U1b7wXci1TkxQD2pyc3lnGT8gMWTr1oTNx/bx3GIHy9qA42 RESq/axtkHAIy5ICXXH4IcdIPLQRMkaJ1NaJWRYfXKMe+rMN9oZ7C05diVKmeKhfdo3fpk21z/Xa 2nYGdumLuSu1kNpO7F5sann/cU0hQaE7ltHLUsp6ReJfTkKnRVGpsZUSOzfsMt3QuvI6jzwHjBpT GAq+oLeUjUqQQL759T2KojphiI0xJXJBPMG2p3EzDCaKUIVLTDE3l3hZhnC+X+ZdFs+G5KFsMiCw THfKhRP6UCH9OmOc2YXiHpwpOP6J6xMAAtiQO3kUWc22+8423DjO87nYDQZH5B8+GUWGFJKOomBk H/x8rU6hHaflHwDzWnibW81I72SFi2cxooqurNjwOEf0ifRBP7Rpv+hKSVsdhCp2oVaXGk1NSF6+ jBs8x1gcpdS4j398mnwDGKJw2ET4qiJhG0Fsjbme4+8T4xa4682iP0WAHfN1ZvdtIDCbm2c/u6tC T4ORz0kyrJcHP7LECfvgTJh9eWliL6/QfdC2oIGvQzfN0a0CaobgLxgRQO1RSlPk+YdqZGZvfakQ UzMFMz003FZ41AH5GFE0AloM38WDC+o5ft2xrc0x2FwCHBsf53ullKqVFt8t+pNj562r3A45Nwd1 qBoApZWEvhHcOKGldjeqY4WAFLgeHYz67pYl31ZcfsQWn09sc4766x/xzGe8yj1I4faMBbTGGeTD U9FkZP6ipWQuopPvFB/Y0ZYNgDcPb46ZgF4uMs1hQm8/TI5Jga6pkgFQSV785l98VeOsUEYjbLCE Ekl8GqWJsRlDarCAZ5RFtXQ33l6P9rMXmXQgg6Fd0iD7jaoL749rNCMtfpeRpx482gShkIlwTEBn thmOvSD7ANODPUYCY/I+QwJ7E2YnM03bn8XM6lG3kS3bbpibCaVkLc8R4Pg9aXbxU/icI6EEk5Vm NClH38Nf4EpBPhluunebGhqnJ4CtrLVRa8jxU6BK7nKFmuDEa71RYQfmmzamFpciTmiijj3b7epf bwxJdrZRnX1NHJpc+MjGDrEOENe9H5ljn6Szio3PddlKps1+vBHtttiWSYqq/kccqPfMYDiIUG09 hXo2S3B+t7WVWVQPdVNMV4XlD+lL5ysQ4l5FIOzazFUioKQX/8buBvQBrdp4/bbNNCoB75HTBt0+ DArlykRT2Yh7sLVkeaBri+LtCinG6G5QLuNrSS3Q3xKBdJWjkifTAfAUeUOPWj0tUrQtudafkcj+ BB4eLSINogTCUBxvXOK5N4BbTHXC9HoO+wdE1dz/4XAOA0F+fEmIW9OikNjiBmKklrg90gWTL1Jx nij02zQMN7keJAp2hEXgNljPaOZNEoRIlAx1OwcvWGlJr0vPO9zkPv6jOV/2W11rOl8RkYhRjGJ3 pp8V9cE4VNCeQ76vcFIHxR/Plk2Y74nVzime0i/TboFRXw7FPqC+lnFP1jcZ14qEd6cMLgaPf0ap vb6Oo10aCu+pbsov1ae7aIqiQZe5JBe6ZtQGpP+iJhO/lXr/nUkTO9olQqxDU/zpr8kh4pdbi78r +Ms1hE3L8nUvZKodqNletrOzXLGVNsChb6gnkivEoxBQIYUKR1JWCNxfI42nxEGwUqtRhheymx8/ BGL7xkuFGW2G4QyHpPL3A+FYMAd+Qr1Ir2o2Io+hAxWAuSZAfPRjzlZ8kM4VsuLEGhg6x5xSg3Ml hkJiUi+HRY7Ks41N7FaaJC7Hk837nAlNEoYstLLX1oG0aoGyAlUXNtUY819o3uCE77DV+9iViMbQ JooOPrbHcX5CahloEHb7tFk9pKX9/jPocU9PBspg9mqIebth2TyLXRw7I1QcGbHTgv1rNY1fhMxD 1EoDYfliRd0/AYk5N73jjiendY2JJu2f3maS+8GElLlFIgDEqIUBCcp2cyzUMsLaJTJdHYhIUsNB 7VGy/iU9m/hkHUS4gdu3Cxu8ns750+KbB14O1Aw/0LOWoxXgLrI/FVnLNOoDpc3mxJmYrX3c5vUB Yg94R4LV7Rm2l0/08AFD3hbaRm02aV6XvcN0xYiOgwG6HV52zN2KtnkOZDN2bBFUYsGZFJo3jKz0 pgkrS11Kxew0BlAf5+JfvWqmCyj6mcBRAo0spe6K93ZRJPzHFtl+8x0PoXzZNNPHNKG7bCxamfpY YQHFErhQcOF+UG0nDOqusqHRgfWGljHv1bi9h1RPB7kCRsPz7OaSi0sltpOuzx+U2VJWy1LnzEeZ 886FJytRXzvFW+u8nMOKv5IlcVsJSjtA+/BW09IRtsMWimMr0RxUjh/uc2gcQ6rMIXJQb1HMfGWI 7bsVCH7JHZ2ZhKvefhFpy+S7cOMDqj8YUFlDaCoVqvfCsoAXOTGRN1200bFwx6Qpt5VWws8GD1/l wVbcKo27TxyWoj64ewkoInGqecPSnsa8xbVTFbKdLWs7iyPT6fafxPZUxGxa82wMRE9LU6UsFEP4 EeHW4NagPvyQO6TT+5e6kLQ35sh3H6KvvMxtD/cjWMo/LcB7pT32l8Xw9OKALjZ9RJXerzb0F9Af IdehP+p0GFICodGVD/8cAP1pn+GaoLZueFwnWQRwNGFhz8M0numdNNs2Lo0J6lpDnbQmhHpO2U1w YnoS1hz3knN4E/qCKZckOh00mwGiyz0jEPx29ET9V3BDFP+Bw3SY26OFXhlE7ZrQPjOV3eTFoa2g byEBTzSsVFGgY89dFoz8rvNbFiJI1hqsRAKtcNQ/025++6fdfysflj3NEyvkThNT/G4o2wLnJTQD +q3lxS2CkI9oGZEro4HwvtOvxq1v7TWoi6Q68gORbBEBXiWox6G7xnvrICpAECH4mIJaslujTdXl Vw== `protect end_protected
mit
HighlandersFRC/fpga
lights_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_proc_sys_reset_1_0/blk_mem_gen_v8_1/blk_mem_min_area_pkg.vhd
27
20310
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block XHCjR0nUvMBgM1clzO9mSr8YEx9qhDtoXdaphp+J1JlsC9lSFtsV1/eTy/jaNsyBimTHmHB4CLra VqfCr1I3uA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block ebEJK3bmI2t+WsBGbhWIt2XB+F+QW56z7Xo7/vGiNjxPbaq48cjkY2KIIwhppzuYFDUdRDxp9Iva RlWujqNPGUrxJ1F5Pa0zN6dEMkhKPrWWxZpAFto5e5cB6DM88tJus2O1hLy9PRfKWKn8u2fBqIhs zvXwIEX3Rz7kU3GI+Wg= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block oZLpbXnbPC0EfiuqzOyPqmT4FdlvB20VtdO3P1fZux3uAWynrmGeEUk81RKG8dIjeHdSPnugG+6c jKeGIJZZbH6MRScqnz2QBuupQkeYWE+dCLOq6/P5LV7F5481QZZ3bx28u0vHGlRYhLiMW8KnJ8Xs JLZ2IP5YULE4cFTCCV3WAM+IdulnwSP3p8oyM0uQffeAJkOTKR9dl0lslKFBplzuTZ7EnXSmYYXA x4iYEfwbmUZvdla6dJXCCjtKnKqL5vI4L1nHOaep2f0bW/K78py/TJVV+vsvE7+Fi81aNwDFBE3d V+IzN5VNKD8wM+OpLL9AD+xsAbJ5JCLz2sqFWg== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block YaruXmtmo/2yQOaZLp6UQc/TTak5F2uchK3/c4SsORqNnQQMwFmjpORZM2++MrgqzkHH5KHH+0SE PP+ha/JFKIuufLvaAIVDYgMKSDFaxIIvD/8aIAhw7TgTE10+TXTruuPFiw9U65VaBnD/nSEGkP+6 2M+aqBTG/2UNkEELi0I= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block SWJkuOmi8gVneMbAS0rfK4gI+24fr/0jQv+b5sUWbuvKyCco423EdTDwW7ROH+M/MaGP2QTzNz1B sh1p0mypy290KKaGmvaZfJU7NOmSNGAsA7Eq3zQGPHDW45/4GXnri5xLLNnybO7r0Ndv34V/fxH0 f64f4NRroCys3EmRDJeCh0D+WDA98E/EHP+OtfmYOGeO+CDzxS2m3FIcGKs7pkeR5dgt+S6srqxz 96yb5/UwV2cpnC9ULYZHZVQa9WYc/XM+Dk71YUYpaEFd7osc9zT0azChQq+XAkJsqukhufRg3dQK YVPZotO8blEly5GYlPFGnRW13eEh9DRYsb0pSQ== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 13296) `protect data_block HdwiFh+7q6VKXXo4jZsgnff6h0l8JDlWPWOjLvS0NqmI1inJjFBOopuHm7m3G5HsyXcM8JPIJBr0 SgFXDHqNzksRoC0CRa3Sm/Q5BWeNC62VdSU1iJwTNaxY9iak7bkj1XRKtIVjgK2T9+SoXr+pt9ar qGhhoh6rtfjLwyTh7AWiiGJ5q4aseLEZoGLTEQeeAe/+SlmuzPILVBYLSsEzOxkijaAvw6C6oSBL kEkdgqQmwa1zT9X+y5gxnOSVdOuu+zhiw9EWH5riPTNqUI18bL7rVceyRzW6QNoWU42DtI4o+Qsb ylyjSDCjEfFtuxPlq7red0bhWOrOl8F/MMHm1k4Adlhnxr4cGmBCxkdHK9+51aPgx1xXJ5guqGpc b0cLp/6WQjKoydkN0ixJgKtbHnFqDFBGYoUMNMQSqTW9Up6YiI+jS/Hy85UoxnbvfK5JyLoYQT04 eLNKXSiSWuWAF5t/cqFOEZ0m2TqFeW08ePLk2dwZGG3ARbamgjuR+84UDgwC+qiGfgQ3lbC5/lao Me1N4HQRqqM0QQIBk4X5a1l7Tk/g3DdohSZeyEePDlLtyip8gWQwEUnWxsgjvDPYZ+NrZJ+dHqR7 V3brN1zQweldETecOP3Sz6o1UN2KzrmE06fmohn6UfVOBu4+0sq2P+BTJnr9NP4F44BwrMXxDRmR XjlATx3Fhd08L+8tIF0N+gWGIf5+dlPQrtNMmmHHCM19awr+BqholxmnJvIo9eStJTzJ/kqbywgT qzq1m3VsnVBuHRLOJwDktXrJYOyC9y+asvtff/GHo4EVtVgOlu4Z4atKs7fibGjkGbZF5f2nQCg/ aJhMuxMvlA5gRVvWMvvQjRr5bN/uh0NM71e8/qy+1S+fxwdlVn4QdIeQHTtDGOXysFCyF1dzF/VW hH3oko1xLQi3Fne6Kv7UMGWl5u87GlVLkaaqP6nXg2G5OfPiyN0LLHJMKKfY3E8bfas5Y0ZesTvJ gvpBemHYyY59/7qX+MjCz7WuYkomLgQmBkxT6ul3esaViP6Z9VKtrZHU/mQvJ3MAGG1fTXiYYRKb 0CvzegLAvFpE2hwXIgPGxbqSpeGm9KUkHpL4mlNCyPjD0Munw+H2eP85xTk1TzUpXIXsoGS0bChp 5fqoxcUxkFpphZI6Nm4FsDW4FlvSjIe2bkmjTnvTLE+ZjsajxpCZdWI0+vtfwc3nER8zv2PW1LJF jyCTsDnHU2EKrDWzPe7Sh4DcUFZAwB0aIVi1qV7NpfDOxEMn0IERniMVNYjVpE7VPq+F9pco89Ht S1U9x3WHsc32Ttc0ri0ya+X6EJV0zfG2W5XAWzT6sUrwxVpNdqAJSLXBn+FdklBohmo4jjARokLd Ytoxh0weeC/Y5pmiLnOacCL9tUmL8gcd8kY6gUCJzAm2L5UMaLuh/+zqIYcmbrESMk0f806CbaJ5 UHTObVE40fVHUGNAMGVVZOshwP3HS3DFB/x1h9JcTb3dduFLmUtynfjZXuwPtmJEPoZVCoVvqYuk C2fvBUk9Wbi0yNUl0NdqEyVTTw3ob3uMDN7+aF2oNAylpm9JDhJ1Iv03rW+4BULl/A//FdPWWVvY tb0m55ePDOqZFMUfPySc4vN/Tq96TSXnu8m8Xr5NOPGUEpoyLe3t/l1sFbzRCqRyUg3v0SIfN0Nj p55rP/gChUZhZREb1t43wDaO1uZAU0uPKYWHa44CA7WgMJMgAS2NuuVKN66pFg9xK94OcTlWMRV6 uiC+KEbWuT/VCJRb5T5mda2PrH3ioj7gkEv7ub1BaQYwE5QkyCZpkI+D3hbJUHtj+t4bDOfTDHbx 5lnTfzcpLgVmAlfAJA+lmAzxke4krWKnz8PCIaBhGij6hpfe9pPNCAd8pp3Vy2dqVGwMFEOgOU7W CpzB/Y0s0lBRImWJUM3DJquCcpRK5VrTA4ynSZHi/9tXs2By7OP1IshGzIpBMY5l9rUvBajqtGhK ZuE0DY32Rs91DsfkjrqZ4M67q8KHe1MsBzFImSdZ/9hHrGajHb197ZALk5ux7l2rCtZjLvJ5gkuq +K2YE2Z4xmsiCsmgM5VZVnUcvYLhxrryayZ6czPoUhJnSNzzmFVA3W7mJiPjr/v2MzT/TxY/7a3E zyq4g+oG5jMGYH9okY3L7BTjixY7YSaa3ysOG8Ql7sKVg11TmCbLggp2B8q2cAj0W/ozzj7Nc2kQ CGCpCGRAs3QcEE0m6V8BBpUBuak+Jd/Mk4nN0GNsLjgK7IfYlUSLfVaqllit22Kw0XA0CJlxx7Cb TbVTBYOTgO+EmtaK8DHzIZNb5FCI9DywhFdfPB12gFD09rFBLt+ayR9dVp4L/ydh9MnE/LAPtEbJ 02JS7zHY+6NtqxtMWmqpYvJjU3VZBhJakrQedkA4TfpRXCI0NbpOlOdswtq/8ezfT2mThufsCPJu gjetJg3Uii0fd/hsKoTCn3/EXb/+ejFgU8LZIiVIfSDneeWtmLTggQoZyb7i2i/vrDTiwJfCAauk kbn4sYFfFBAZIx7865qsWrd/Nixj6p1M0D4tz8cNC9f4DsklzpMKrV9MQvuW3lwSgqpX7uY4QZxF m/6v3wr9p5RbkvE1qwwok2eSwWDrVyh+mfQPlN7MAkyGtnaSICDIdYI07Uko3rANmck983KpKazI RUfCrptKjZSmPA0XV5/q+vjYcAcQPmlZVEZeeoBLTPRG9pn0T2KyMPFjBCH8aY5ZQ6hLpvrd01Tm G/IW0z5L7YY36cKmdB87+R/igoKvbLLYWb2gJUewqTMQEurE5xKE8v2wfWDbkjxoTXYc5ObYF+R5 C6XGsH0JNt1WzUKgI9Q8s5EMA9NkgIVb+U0I9mY9BpvL2YCv0FtPsxdLeLajLq/eUuAcJ0wKG1vJ aqs41Z4tRNFKcOjMFVn0yxjZfQWun94Pvx1rJEuzTIb3NBVMx8cgCEhkG/pXJ7noZL+xaUWrNZQ2 JtuYT7O7gWRfcmYalnkoeRGII8ouuLf5GOdw28chYv9lzRKFJ+dw8nDHewwXZhGndl4WK9AOUfjo r5i4A8xMOSZONdGNy7im/E6+UuRUXCciFVkvtd2UjOyvjjG42ck8d2R/E9jJBvUXRo0m7ywM+kPE I6syiCV0WwGNKgj8YqW5UcpYCt8vzGmp/kndJW9dTaAb+FshO5KelBFI310STbd71C0gPxaqp+OC yruarcb3HmjadLf0R+snrqhdQAJiI/qIelpRQHNbb7pvGiBgVhLQs5uXdxEpIuts88BQQxHfTlBx sz4h2HkZ+BJH1KkPN4iCbbYhbHm+PTocWomtB7zMqFT2uFJv1t38pygdyvW72wEXc/w00MTGNtMD lipyGlKfUbmihHTl0COEOSocNoYr8x4cmMSIjazYFeseEtNlFdNJ6BS7N4JOhHVgK+LwR9pYaDp3 dtEBGXiMxdgYeDkGDL4srDvcMNoRPUFdV3E+SeC0hplXkjAzH1sbG7rT6BGuhYxxqgPCsLoB/9VP w+W1qM8uZTRZCF07DYKhc53b1vj0PubQJjG/TroRPQcUp4GfLmdvHY84ct5cOIq4r1TdSuLr74rw MPZqz7OJldzkf0YHU8Gu6H6IVCqZzkuhJY551CnukCg+4j37+FAltZCAsz6xjf3tX9UkMjzUeE53 tXjGHZmSuw+6HEfxeN1n11TmVCDMiaS5xAXFNBxzohn0hWUcbfARvtGTCfzCm0g4+6CPqOVLTi9R 23SioriNDruL0435fNfg8Z0FSLOxw4Qt+hLLAO2bDFFDzqxNde+IwpRFg9H50XWeFsbs7O6uVswh Jc1dkSc4hOvbO7KrjleuNntPMyi2ErGBgLJ0PCdruhLQViKVa1GPiM2wbCZ2FzFlEQQvbGyjpEBV kWms8VcEjC2inpeA0Dq8exynF2AZKRBv4Wliv2izisyYtULqgW/czCexrrM69ZzXak+fVkLfFkvI IhQS8SSgD4twtFMj5B5UF18dwLljLlBgzZ/Dov0BKPBM756nVr1NJjyAYKvKFkUe4YyK/PZnCH1e Ie5B68Ow8XbWi2VsDYWGJMCS6vf9bR1kWUZ2MlugJd8k1MYir3aLTafGizmhyol0QTSSrz2Rl1Pl 9zvJwEdxLX92/LckMP4ruCu+9cRzABOd22N2ul0BRyp+pzgp8dxlX9+1O8Hf9UU7GTozjqVFeErB dwNKeu3srth0Is+Wz2FkPF+p7w0jvTO+ufGLUAU4Ib9NNclhbycI9gwNd1OfZd3YyBT3CzZ2CUQt 348XExgXt0662jCPnNVPiMyOcR3Y/RiT6A6O3T7H3YHuPNgL7AEt0dU3ARyWbcZpscrGcE1ocm2P seBYD8cgXAhOU47p2KUmdUonevDAakf1RYZUWdr/RnJE//cDLkeI9rVItWbeqcKtRSKLnRZAjXeO x1XeEH/yzk7A8egcN6gQ4os+Bwa5pt3EnnXQ4awJEpuxvdxzlW2UEKCoYQVXavRW1kmpw9iqBcZB QxNmTKPQGZ27en1lMpWQcDHMEK9U936XHIxpXUZtTnNdZd3XYK3M1nfwA0UUUIg8SV81MOBUkkwC MiPpWocUJda5LD1MaVBcqeF9w+QV4HzdDERCEGk5Popj2PEgmZm9lww67ViPFOdhQ4QucvZMNtH+ 5nE93VNLJpZvPzSvlXiIFiVjwl4x3oVwpdbNcXnFYkbTe/1ui3LDnGrZbZAPvMHOyhsxBBpip9sc /62Il70l/dpbr3oEfQ8D/CZIXHsP9nq4r1P2Xn1Tvam1bQz3fng/bpqObbUW/lCZznED9LwGs68P rI8nhy9+yy1do44j+CXe2eXTc4Fly2fXB8VmsCmr59t5wVtMwOFBvCoMST0dGAsb8Qmi4wbxdLtq otFzppWEaWrum6uAl7mwFwLGkOm19mPmSEjt+o4AfjUnbYB5mAyX9VV5eTVDcLdF5vR9cLLKog12 KcCFx3N2Qh7y4/su5IMO0/ttxGPxI3ErZTuH7TxdALv3VKQfgJZLrE6to2E8s1omrHEt5gBs0Scl OIcUaTxDI1fsmIetMUKcNbfWxTGUjOkO7v8jMGn+hJUDO/wGQ2qW7mK4C6L+IY5y4+AoJ6nxLPyL 0eo1vJoeDnqYVmtQ3FjylgR3etdrHb1ThOfPeMH4wxz9IPvPfjguBaNYaysFluGbRaD3CetuzU9I bPg2J49hNTF7uP+W5tKIDb4rNxSA1qVikeeViykBEdT2xb0zvEk1wXblMm1QaG1YhE3c7INzvV2e J+wFZnSacNF0YCCHHG6ogIfriZePdhp1Bj4SQv9MVPI7itFOkg69j9wq8EJm+O78Rz/+qK9q1XQf beiOm8J8KVRNJHOQvu+JX+mbuQXHkaa53AaUi0S+UTITH9fdUbFTsgmT8UXsEjmyc6V26ShAxzFa HvuRb1LomB2sGABGxaKOVf69asmmpRVpXsHflJi1Wtc53xv8SzMMt1/4dG9PB+ToQZZf/Rn/t0ED keGOn5b6ROwOK4bgfp04bt50CzKYvfXeFFPzstSbp12fqE1W5KhwKQfLl06GxGps52QGMiA6Vi3b 6xOMzB7OQhQjyY231wZ6JH9zSDVzpRAQiUpEOV7/5UDVLcumzNCHl2Ujvm9MZvzNZRa9F7jCqyuZ naLAnD/sHXKNKp4+sN8oZNSSdBr8saw4m0cHrtFoGA/6v5U70+s7qH63/i4e2w0kPil0mrAOtnAr wevPZXhnMTRUFVL3SpBpuM4cDx2N6HlJ4kKC4DM1tJGetSG+jgqF+gplduVPL/G+7mD3MGCMYjhi WGQEOFhmHg/aa0QSewHSPPbzgnqiwMwhcy3t6DdjVs1mtOESOXim6dUUxBjQCx8DuF28/Wk7/fCB Plwqnaf9wUbaesOh2/KjjImvDrTaWfEy40efIDKVo7w8qK2mM+5ji2gVlyEXASldU+IDvy/b9xX5 nEn0WUIm19jdllRavWvH7iRC4jHUYMD4PwETSLFgouGoqA/wzbzXfi9v2X8RQqd32FlBbjkF1cHg ckUkNCpwzgNjnEIxmL7g0RfrwwfFpwWvuZtq3hDiR+0FwEpwoOZ403pUyJ6SQ+AkEoYWVAXyqVCX S0IOr65IWLRYOR0g/6xpNa9Wmj20KlMuReajnLalecEYOgtZdobEuBWhqbgpUXbO8jnStQ+G735m MHm8mntWbh2jJfN0LNrmeslOR43p4YRDSIX2z8qis2SYFn0Ej4WZ1cjZV+4YB0Q2fKqJ4CADhlRd WDkCTlYD+upwqfQkfOaMzEZejYvqIOn/Qmk1J49CF10odMAtnWHC1qdaRb3l5re3x7cvx3ILhszQ NFeZv25cPVnQyIaNmLYShUemUEfsyfEqTYZB2smcYZmzXs9Bi20ujPsmVW2jNNne5FbsJWGEm0Ia NSIxWs9G/2ydQKbF6FHeMSr0sMrYi8w/LAvsLWlELLfoM/mO6VNWLBC2QyaiF1WEVFn2v2HYycj7 RY4pCwIedoIFBflhk/dLYCiH56XuGIxqJPyYS+zBO3974MKuoskW0XvFpNGy6oEgMUz7cWend4IU VjHOd/hEaZRoDSR/Oj1lmlxABsIqdWisKIYleqicvE0PmT2Jo2gdm9kVV44Gw6Z2wXe6XUfrjyEg SiB/I20hA/Es+uxUiaTDQO+Zc1ZqOd/ueoHESWMyFMICaeaK1l/SD9/JmvCDpCQjdLLYw4jVrcOm x82XSyfKdMIlApb6Rk0XdTzoVKiNkaaqs9WFTBYmntOjbqzZjKjtsAyOryTohZQW2tKFDS38Gi7p yuMxgVKdfNZZ1Q7PU2RjazFSyK3OFOe275+0+YHFi5zhVwVdzJgktxulyBrWsnmFiB+30A0RHyQS LUt4P6faUkXg0kJT2f7DPqFb9ay2wBBTG/HUZor3ZEBxPngcG+OZoK8Q8dMcGBPYDIFcZPFLmzYI kUucMuOkU3Ult4YJ8TXgvhqskpxcRwZvmC9jpLgZdS+yWwTHZr2hRLr65IPNmu8eosbGV1rZ2VhX 6lHidoVv1pRyzeTbCbNYwVihIuOSMCNE0nauuDoRfhihyj8yfv2Av59/H/4hKd96d+XEzwDHUO5K XW0DKvTT4eVvvvoINKklkw3BkOMMLlLAwAKj3HFGaoBNUrSuHzbu2G+N9Dx3Vr/+BSjcTB493IGv 6GY4PMG4KLgh0/haQXZvghE+485BdqN2u590k/y4tyfr8UolMOdwPPDYZ6ceT9c19oDioRIBRLRS FqPnwliATX0RdBQaKLEp0azVExQXltkJea/Vd6nF+eWX8kpfpmaizkgiw/znlyUGGvXE0B2oRAGk Qs2yeEbQACLaTG3oIhN4IdFlTdkthFlBhk02R2yb8Bn3vkUOxqpP1WbEYPHHWns5N1Nbu6ZyyvKv Ft8lMv/0mBYZpvqR6HWU5vqp/MP0JAdB/5H+pXm2zDVIshHVhEz5PrgRzLABvwXI+TB2CAc6K8Dr 3M+dXhCLtoLXJ7FJQV25BKllp3rpW5OFlJMvXKSMhoOxXqOf8LgPP5Q4wP+ZlMeMgX7us3dV3QGO D2bF/cAh84nF2xWjfFP+NpmfqDqA5VzYMsWz480fJKHQLKWmQsF/nXze4KMaeX87FM5I9C/Usks7 C4qZ9xhUUslBcqYentUf96s4Y7YMB+MjR2x253hPcnxAqzmFAHqCAgAiURbv6EjYCLDpOC3Q4ZQI 4DvtoSCd2TLpVRIxfZyp1U4JVxo/c2gg0gb82FTpC6GZbhG3yW1yQ0NRsWM2mzhOOFDbYDwcBHI6 EVMXgVE6SStQRGMLY979GPGc61Msv8HViIB28+5x/YSWnD7l2AHLkOyToXucy2XgKxw06nPOzxA8 0FZp1UQ9IpR++LMIEAvq+Zpk0ghlzAG2B1jAMpuMvZXsA7OvwK8VgpXjH+JRdebkFY+hNOe2b4KO ahzupqF17Qink9fh/0yYegVy8YZmxTCBjY1bH3tgvHVqODlbgOcpOJUz/lh6vcZGnHWDQhIEkvuI KVGLBB/35FN7i6l+U5gmRPPLttpRhI/ySFt8HI/reqBWa1oO+IV/cSoOtNY0B+YZ1OX3S8Jj53fh tqZ4w7KcV11LX8F89Oy9Cn91L7FZlO12LHOeZ8tMUQyft2eGJOfJWFYDsTVTtB+oUcLeiVxYIywv 27cwhCO3vdfvjMOkJaZMj5JmBOz5eSX7nDuiofDn/m1pgPCMqg6I9E+ZlLDZ4QEd4nIp6+q1oNYj NZ4RZqNuvY6VcxFiivRI0pqWg0KvGPgO0GEEQxrTznYIP+1lr5fBWEqQ1g7izszGo7uSOHLtNuOj H/3OaBTMq/yvaQ+iXofTa308XtwQyH5HtcG5qjfGS84ESqcYPYMLNB07YzMu/TE5/7Bcizm5OxnN U2X4Y3Z7RMqN2ZwgW0FpoalxIvgVlycrCc6WqzpNhb8SXqyd/iL4er6uCX408lwm+A/iexql5Soc UAjE89woZHtrfnbCVxUZAoEldE8aiit7WDAa6TCB+XXFCQ/Vt3ODUiu16oP9r+HmmqL/JKBHgPIT kV17/P41HubDXWxt3LcX0p4W712nu7m3hFsTri4Aul6S/YgbMhJ6Er/QymVHXobk+GUSAL3bmuHF SC7FYKwQqjSRssBqpvtewdHcT02oOlCSAn5V1LWqGQS9WE/kXSXrtjKWh1yfukKfyIE4phVySkvt LWHYXSNkG8C6RfadiqsABkhM56Wom8pVB3DLq3cX0Uwd0ZLRjH8b2LyEckg57raQV8fI2CM6fhDp DbPX+o8RxyVFtiNl6lM+gPcZmmng/FCEruGaN8A1BqpXrhK2JLl+KieWl0yAmajFLkg2L4fb9ZSk i5W/450idn+JsfDT8y1+AHhjw6jk1BmS8XavrolK0O6qwwHrIXj6BZFiNo5OroywUKlmX9KyUGzj xSatJw7+4mYp8UxONcSiKWPPIXJsyTLsKvDVsHOsutm0mDC/61TpiJdks22no27H6BE7oBJ+r0Qy ce8nCMcQzSOtK6Cg99ikP1tso2fu96dDFB/wW/NjWZC5ZNO4Riyst/TzoUlrp+PWTUx+AwDrv/Bn Zx083W5a9K0Cv+UKIy5KRgfjc9YRq4/1am0rHPBUb7d8OlDhA6luV57e5eEaTgWAMNjYmySz53eH 3ADV2+reUHBSRZhZ5FjyxXbzy3RiihGAMmyxVqRNB/GgHCEF3JZoz9YAiSA1sQA+OlOEaC9zxLjR c9el/mBq7u1id81mVMNLy97mqV70ASqjrRx7KNZNUfzwETBrCEInCeHjuptkzvH3zF5e9QI/gb1Y c9muwitjkca4K8jhQNFqbJRTrjoqwGDvN2UTUUmp8cmPc+I/i2Y6GdImDaFLggApyet3o19lFJX6 Q7Waq8sp0pavRYqx4dF4KGBsnJ3QRSwTOArguotovvJcvJp9xe8SZiP8W/vZ25xaD+MwuYpomAOZ IiRNqLK6f7JZtk0QM71YHaKjOg5ZvKVKIT/IlU2Wl8fCQGAabJl0lG2ohhprKSWJUZ2yaIfMNO1r 1czxzGtnxMfqs+Bwg0Hdxm0nQ4Ky5kofyqDw0oBlApUiTZe2I2BW+b8KAnr1jm3q5CcbpUtkfPin 2PgWhzxjIf3qq9IWV+y22ck8ixItF4ebdez6p/KbBa1XEMgAzqInHN391gOJ4LrRdgllhT7kaw2P u5LdYDbcOW1OiDub63MomYH14ajBrWT6Vv7FBpF6pXq29oIkTdXvH8kt51pz0fuzfn8njHrVXelj vbqMI0i+rY0gNs9xyzOwpVKx+dCos38vbFnIlazH5bA0kXZ7zqJ0tdqlv5Ie99llADalOYqfJPuv EA7SxD2ieUeUmlMdQJ0lx9PTGfMsBEfHuVt54p4W4hbYysY4nW9uAnD1hUWeczRPxfba8C3T5ldi b9jqyffnNirV+rmfEwNUnz7z5tnftW/p1dw4VKnCG3CEra8S9IhtbT7448Tr7lwky33DcuUWUFJF CP4qAwIJC8scA7EdGsdn2KIuC65M4o1YHt6g4zAmkLMhbEe7qj5gV/oXgN7UN7OMoHpSOftMYdZq a1iPME8Y/Tb9C+s5/u+7JvkLxts7ycAhYlS3ZkY3wVqt4u7HzbzGa+ZqjlEvuatWkaelZW/G1jUU lKBtmsksT5l8CU3QX5AkS2kv3fLSUKw2pmhcoc3kYPWyulwU4O9rgEDeAPXKTSI+MxsG2IZJoqxQ 47BZ6ILjB54uaXkZmT8OF7dTJCFXA47GqFPM5py9tiULmdpdt0/uIgjLvfKwT2aDjtMI0coE7OXo mLrOthdaujyuE+WS6MLx3EzGltwPMtCLCesvvkUFo6nIXGZLoK6gqpWVjT/SxSBft3fRVcu89Y9y 11f9nTD5OPQKakOzQqbHIWNaKZhQVhfDYo3u1kaFivP1UE0fXUibdmN9rPVASBsFI/i/X7f1XS2o aMlEwZVg9hFVv5gbqyihTq5IadzK0e6cO8UcO3gYlsi1xgb232uGfJXOuBo7L2C7ypjdiye0X9yC ozE0j+5pWLEwDybs3dyf8fKYOWEBcu1NEIoZhI8TNPxKhJRk9QM33IBzPIIlGCx8jNaHItua19W+ ivsyRi/EBMXosnpx9EvcNe/PDxx4i/3KpB2iEaVHa5hl+oW1YMEbUdbUabjeURp3YnUEy40KZJSY JhLruaEh7AdCBOHQGO/gDSQccB2LBerFyHFj8F0gWNq6Uh7YAwQpucH0V9O+doy3f9hHZTdL/lA8 s9sT+V1L/NJxv+BnIF863Jyvk7BkzG/N6QRDRdnfVwN1Nzwq7wXRiqW+0rHmHf5cy00aQMucVUVs KuZxzYXWywGrvRABgm+jokSVkiro5tw79MnSZKXnKrk2J5ZIap9eQCypWk8fU8Lf3NzoSzANF+da cZM2Uh3gXvy9gE1vVxi/+3U5IZtD7ziT4PQeHxUioDjI3pwgurZzRWOIwQtpr/5KpdS7TZHWGIga 7riOR3gopN3jNaOe8GPjXJpCLubHJGI+uv/jcBMlOc6ZnoglVhfHwsug+FhZTRXMaCNY215f/riI lH6eDXmhgw/Ofl+C8SUSJE5OAMVGvJfYZVAcEbuHksQSffQkRic+7ULJLSImO7WlVVt7Q/FK/KXN /xiIsiz2ptOpYW9jnPkWOB0h0Lf4imlJIjfeYhqCc9lJ+AN1j2p1DX2to7VxPLrta5o7sgNu3uul bFhPjT5F9HJ/7QfQAoS2dhMS7GmZAZYkhzj+xzoF41n+p0dbMnNcjVceU2QuOwgsaxSeh4EkxjO7 +nYkEskL7BvK2mdx8aTkyF/3c5QCAAc8N+9eS6FWk3gar7u6CGOCSH+809JJ8T1lChInZ35o/wbo WxsjPKUaZlt+UokU2Ch90FE7zTjmzJehX5P0Isspk+Ig83CQ4VVlxlJYUFGMOt4QItub/h7BuGeq 8EmXTrvmdj9ujWFwmGb4JvaWZz16iIwDAhZTjKhw7k2GD4+dJxp67unleoULXaMUcTFLJlHSdn0q Sbs01thgSJEO/1+a4zDvsft5vDTcBLnWzJqojQ2Btw97okagWSdVxgj64f2FAoJgwcu1As0T7lQ7 gbVcOXhc1hqMnjYqzXryi+One2cpCt1S3vFdgMATLYLLQ01h66dB6vbuWtTScfHDupto7ye8KUyZ BrI8iZBsBTPviS7+jTDufVfrQJjR3PhlaqGUGfulSZwGY385bDcubHuzK6HjK92y+x7gpVuiqlet IR6radRwU/xA3BIA7lkDYkNeBZpIMjmSBlVeNQA1iDSqexmPSsrgcOA68ttNpsJvTxxULlFbxwZB 5lTjsCVgKsSzlVsXuN5lSeUwvI1Knozjbynuyyj/mYx20lwvkc1OaQIhxg6oq4hWfk9E3WKxZ3Dp L5croTA7jZA8lwpojhTMX8ywpk48O1Nkzf0buyuqTYgrTPubfNXh8yvelNj59BRtJkG26X91WOII zbe5GysLa8ot5kiqJGY+mYAXwjQNUzzucffwN5+oQN/fV8otTi8F1jbrSKcUSNzA+WollIuqkeuj nnVQDLOftenHRxdHIO0euU1WtvlUYU5MRP3w4hZI964fiy9ZoA3iBmqCOmLHzwuPwx5wv+xsNguq EtycjduXq/85nHs4wxPRq43oqu7lTgb2i8qsWjN2wUHrqmcU4+s/a2cRAPZ9O990uhXaY9LZXqSR I3WZiQV7OJS12e2erIC6CEnfkc/4v1YG4lxHl6F8ld7FOfDsilAFUTf1xs79NYp51xuUI64aMYCp zWYvYVnMTodIY42ofpyp+I7qdcGItShel4fLv1ekRy8RxB9gl1iJFDjf3CS5H5obahUbNSPOqc9e Clk8uAsv1bG3ZYyWYMYIs3tRLPQXFwHVuqbDTZE+DVLg6bCQEKTVuHyIZRIeN6cTPGsZUMAexwln JtpBimEhO5CGzdjHfp/8pbiT301g3nt8qcFnCVr3OLQH9B0KvTl9wvfY0DYDwRrJiC3pIlwY0qBg OBtuXVGCCfwMhPmvq+7O+vTaROTXR3QtiHg7tdTK7Use4Fz4n7kq465ZKHv1DpG+Bt0/mIV4YKyJ ev/9I3CgvnBF/4YACoropT3LmVgXKJ+Zo14hs2dC3lUOL4Gmj8Fk9A47s2/uFyctuA1v3yajWLw1 nvoCfPS8Vnm7EKII1Eb0ia/PR4zcN9A6jWKzwemYIhBlDYTzxGNscc+8KZ+J4sji5Y/bLjsbksSd E6Siz7tlI9DwVaVjMhztMsP1MnxizWmysj28Jz6Lv3blfc4/6MQZAHvQegFIVNXU372NfMHCeQVM o5kC4t7BP1KbxRCHr+evmsqv6PMFTXaybOC51wbuGMjyrtUGbmF56k+VecpuG8U2NtvzRU0siAVK 2h0RkIENpsi2qr0TYrzmmZOawd00MehHequdIHM82OlO7J+o8p592c30wlkWNlc6ck41vjvxwy1f 5LigDGgSUjhIR0ehTAEajxPt2c9PV7eBBF4acVNzw5fzd4+vfO6s37tA3BTQTfMY3RJfH1dDxhnf a6zmVYod3IVgQkyx9LBbwijNCjMLkBSfKEts6SD1LT4Jc0cB5jkLtYHOQ/c99If/vzTnfCBhBVcX Oxv9w+khAYIFu0r/9yI3AxEyITfeQxpwQaTfmpBYFl+LjgodJimddsFvTDCPgtnr7ouuraBm6Ri6 MwBHFeG77KenvR1nxj0TUtZKUasTyU6dnThceHaYUBKKnp6ngVO0B6H+pH8BZ7DMWtlcaOkjszhh EBzczCg1ZhleyKQwUgylR3k+WwOggyPy8lweio4Qo2tmrVjAKqr36vDdySJV2i9d0vLB+OMkex/k xFl4tN7iFd03BoYOfUKYe4BNraY78Evwg+g4UUQb+skA0y2kXt5AC39gkAI5NlLMzAh2b8b+0kvY NSlaV/Md9RoGD+rMrIcqcIddQLbju0uEbN4Dp21ltj+rrFDkzLBKvxfKnHlktTAKqHtFOSCL324P LbXdsD5E3g6SsH5b7T982IK2q4xztU1E44EOJEhiQd8Si5koGY/EVF9CBwgOt2IN0h8SoODih1lv R2sn2905QF1+QgVd7mLsb9HIAze4EbBaa3pk4k+UehIDfVZHCNrhlAfdLfsSkiXDDbcturwUjOx8 N4R/I2CUlNsAVmmvka1jBBz15cGpvamvwNynvqHIvVIjlKOl1Q+2Za+If3z98QhCBXdIRUDapbe5 J3StCpOr+EV8CpJEYeKSewVaKOlfwE07Ph4Q/K1GWTxAG0mrwWnN24kw1ghRM/LOPtqbpHUiNj4X ZnqLih/37dioAtysMuXnVOE2DuWJp/vT7duW73iZAHeE2Xno/ptUpt1knMeNCL0bvUXf+dIuVoZK eBZP/G3iseKuhuti5ZibcLejvCtJLdKkdSqgYpI/Fyo4EPtv4IETNLC4FjhbfZPzjSGymqxTamsl /oeOYh3aikBQQ6Fc5JaqmVec3b2ClCE5YbZveE1IrOrdrNyO778yDns1fbEeBGZZMBLR4p7Zurtg TVUExm41PCNvDlZ8BEsfB/ZD/m/xy5ojNvb+VrY66enNpZ56PEF9NkbixWQzE+qxf+CjBkRbSPQw LtiDCvyp8IIXvEjgf6TwZdEABVkzCVL36h+npLYxDWTcdbvg00hnYv6N0X2yoojmm4DjdMiQqn9O Y34tXU/4FIMgsnSSLs42WpRI758Qhe8oyRYeZA9oIizyU7ZnxYTZwUevMpoDtUqV08WlWbefdACT W5B2o9Zm8aYq3oWMXOij1EtpwLPW8c9bCv74MMa1ahpBG1wnOge5GzHq+DWTFr4ONVXrSKSeHcaw gjxYhkmAKpSBHIHf7ngx4/Z0/VRhBcuvIIkhvQc4BzdQjcJVlCfdLswoEoDnh/4mpwa9/UNkBM54 0Pl2ep3XUe0Sz/n6v38BigemScpks/GeqbSnZsqzh3UOYLnTPYXiKdhH9K1dgTzfbXvA622qqPjc Sm7Oh8iG50hY1YceI6gOsJESUcr3PBSO0UvHQEGuF6dWhGAj9wX2xVLfjiSBy1WxiW9DpuNu6O8d tdb66LSN7yq7p2VrNGPkn7EFAiWPdQqfDcpMIReRPaDQxC+QKH5tqcgdaZ5zgoUBFirfgWQwc4YA j1v1BJ1CrpNH4p5+oHeT2IIHjBph7mwKviN1B8O0FjTTir8WQ/LfBkg/4ao2AgrP3sjn9nmW4ebF NcUbX6nZhB4i28OVg69brEmlEusJ3y2cNkpMbSw6CO6MaVhz6ADimKNtxrvoWe8+whg3mmtuKnJw u6ylsEW3TKcpykipzIRAvu0ggjhFCbXrODi74WtD/2zy/Dr+AoLWGb+kpMTK53c3PFGO0d2AF++y SfvOu4k5ckwd08V9Avj4xJ59ni3wsgqXM6tRVgPM9WYVURMxTH41C74xCIImEdvwtAbxOLOUpl86 0dBJ9w9Bl8oTCC7x4sS8zz5zPVE1iw3wBkdp2Zl8sWnWuNQW+Y3sPNWK8d8j60c5JRo4MbhSLdUd irSpU8lOwW6rBetdmjnGMCvwINmWFIWlOy3SaCYzJCLpb8LwLcN9Iy0EVHWtfSj2cQOLm98kt7n2 WmBAnUR01VPxoJ09o5L47FSsvzGZ85UuK13QnIl2Hg2JgT/RN77TeEJi3pS9k3ITLFr6kTys2QZO 2i5euI7Ustg7pbvoDmhwB/ORCB33xp1jUU78MM/Pb0vLzq7GRIWyAEgbMjQptkJKFuqvaB6VRPcJ 48m8XMAOgM5PltZGUQdPia/G/JTckCp93dHTheYxN0A2h2swIrvdehPPPKHtrfqbI0dNzG1wj8Li ZVWPev66yuRwOpnHCy2z06rY+bjRQx0CMlaDip/7kbzV9fHTd8pv8cc3YmKh3SlWHIwezZ4goQ7I 3Gar3J5cg3B3wLCaNvo7bE4KiCalleKfcaJXNKe6dxl8j/APuIvA6qoEWEcRtVJYoKPioyhJUulS cZt39OrBH0+32Ip7Tdi5x251J2Z8v0ajCg8Ga+FgUrxzejRxBplKKvVEXcJ3rFLpt0rqd2Oo4LMf kVEkScLzr3pTvJ4B6+7LgIh5AwTg871VwS1WmGuE62h0PM8wuxMQG3S0XU4Z8IBN77FOKe3DTVCY tTN/vKeSFBerEIf0urLVfqU81rFOs6lcUtFmAYKgOmGN1jY1e/+F2EcAqRNV8KfVBEue8Z+/81Hs 2f+AfrgOk7jcycBIONfpnT5fbjTfM50p6i5mWIOK3iCCouguichUwk/11BGBwYOLbUCr8Dcwobxs INQv5/WgqJYYcfpia826Jbvr7heclF173HRYCRQZi1EodIkm9faw5paas+8Z3s3GZzWMjtRagM9E wEsOq0F12Z/1UhjbmI6xUYXNnh6tSbFz55+PEYQrsohO9iYBcuQgfYjbkCf3PMNevPRpKvVsmZ3e b7gRmDhLsXjigyoVZzbBCVsIonwzhFjRDrlb9fI5bMQt3jYi2dcHSdqcFtrYvM/1hfRy78Jhm/m1 gOqJmbAhY5nbm4LFHacsJdDYioqqncZ7uuPDpkBY55NiOiEQ/LuzSndmj0Uq+jk4CojHN1yUS/1l heD6jn4yXhzI3q1+5RmJOmiHfJn2+TDddU8VBrpsShxMVoa+v915Y1jo1K3gOU3qSG2DO6/lB1aa y7wfW1q9nJBd5OJInDtdlSBTxLbG5NyKuWDyRFEQq78sO1R/+hnxlJqZzA3mQ5GI8U0Ptor91yun NB+wnS+/4+bWZE5v+EmyJr9i4oGVKe3ikhFGbF3KsF5HtzUqAt+huqK7WVNivGQe2V6Qn0c7j/Rv MKtaRO05nHKfgCfLLqRC6zPRrpzjD/RaxbSdbnkXAhKAJHVwsLs86m0vX4dIMigwVwk8G0tjWU+o GAIomsZQeMSmc5oyJeUIgfrOzUNNNPxp5wTLIaVMczMCH7dEzsQuml31eWTHZzuqPUFsMDlfsd9i a48FioJSVGFZxcRy8DZU2x/jJxqowhcV7sECVBxPOD/bi0mxWHzZZdGXcRUyy2yOg9SsaOxL9Lpo 6bIc7buHYPISgGEGITVqesqQnkSTlGCDJDfC6uDJzMM8MbeUNJuM+c8EHa8u/FGc53iUHur2qkEe cYymG+0UOpeBey0QwP6z/Hbl2383aN8+ycG2/qWmdGs0fE0qp/uIY8n50FOEPl1rDzeQXrKO36MB rlcfHuNNKl2AM0M1TQPJYeAKtjYHzRATSiJi5uTSrpWbltwHpwKSDoo1XN1sAwWP0jFIWde/h8bq ibAwK00jksfwlcpSu2iBT0xzfLBSl0kDoa9A8oPd8T3w3SG2yUsyUlZyHxOfRjDw5LeQ9dv3KtX9 mzmkW+jbkXikwy42kMLb13/btOu65vc2Bx7vPO+OLg5TPtFcvL/fq7zI3bfDbhXWxGtVMq1pnpPp E7wjCfpOEhsf76imvuDYbL9nJnE+fuvmqu+mnfU2yqHvSaGd0WbTNYnIy67Qe10Ca5UthVHDSXYw IIWUvGT0MBF4+b8RY89vrjGKfWIOK0TiaDP32MAM/K0mYSd3W4lMiWcenEROCCeWarJmTx5V46oX GVu6ZXitEG8oT9qtj9TPgTApMklndbs1F3twyJ4pHfH9yJbiD/4NrI+d97PImdhD2kUfjpoaMvAL v4ruwvvUZdbSXJH9rIjmnlO48XUq3CcR41otI0yNreAqy13PMNWroBUVcWGNL8Oa1QW0z4jVQRDo Kz1DcOsWrS7Dux6u7FCcMcj1Zk8gai9il5cYhOTOYWsKOw6/+JiMbK1ngvF4zteEvcNj3vMTSLyz MM80pwddMxRYHMLWpmnXgv+IQVn67bzMPpKhId00l4/Z+7k+mlcG68akqvhbQpXYOrd4bjjswOwF QKBNHChTCYJXTlGmwuWX+2MY0b5OdSCRmIFKOK3NpwIMvpIuD1ABiw4yriRyMjjdbMpl4AURCYmP tXoxO54dqcPyin+y5HadtWkXRSQkpUC95k5salWzy0VJIePM3tkstbF+K5zYXwk2aofcX9rk8cQX EyfNbYzUlVwbRvSRuuDf92S5ygPSXwFKhgUX5GGUIIf/yX8+CZfR11K2ADzEwoG1sl21O2gi9eIV 9ct/vegpvr9RL+jSHFjHqHm7WcWDALs4z/FGZz2BGc6Q1zFUQGnaMPu8fGolndGIBld2pKCqXgi2 OVAucwEh+uRS8zHANNurU43l9XVM4hXCUtYEeSYSUC+mDwTajLyP1nUwsm8grJkV8LOhmItWqkYe BOKSG+L4rO3J5yuyDG13 `protect end_protected
mit
HighlandersFRC/fpga
led_string_no_gpio/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_proc_sys_reset_1_0/blk_mem_gen_v8_1/blk_mem_min_area_pkg.vhd
27
20310
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block XHCjR0nUvMBgM1clzO9mSr8YEx9qhDtoXdaphp+J1JlsC9lSFtsV1/eTy/jaNsyBimTHmHB4CLra VqfCr1I3uA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block ebEJK3bmI2t+WsBGbhWIt2XB+F+QW56z7Xo7/vGiNjxPbaq48cjkY2KIIwhppzuYFDUdRDxp9Iva RlWujqNPGUrxJ1F5Pa0zN6dEMkhKPrWWxZpAFto5e5cB6DM88tJus2O1hLy9PRfKWKn8u2fBqIhs zvXwIEX3Rz7kU3GI+Wg= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block oZLpbXnbPC0EfiuqzOyPqmT4FdlvB20VtdO3P1fZux3uAWynrmGeEUk81RKG8dIjeHdSPnugG+6c jKeGIJZZbH6MRScqnz2QBuupQkeYWE+dCLOq6/P5LV7F5481QZZ3bx28u0vHGlRYhLiMW8KnJ8Xs JLZ2IP5YULE4cFTCCV3WAM+IdulnwSP3p8oyM0uQffeAJkOTKR9dl0lslKFBplzuTZ7EnXSmYYXA x4iYEfwbmUZvdla6dJXCCjtKnKqL5vI4L1nHOaep2f0bW/K78py/TJVV+vsvE7+Fi81aNwDFBE3d V+IzN5VNKD8wM+OpLL9AD+xsAbJ5JCLz2sqFWg== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block YaruXmtmo/2yQOaZLp6UQc/TTak5F2uchK3/c4SsORqNnQQMwFmjpORZM2++MrgqzkHH5KHH+0SE PP+ha/JFKIuufLvaAIVDYgMKSDFaxIIvD/8aIAhw7TgTE10+TXTruuPFiw9U65VaBnD/nSEGkP+6 2M+aqBTG/2UNkEELi0I= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block SWJkuOmi8gVneMbAS0rfK4gI+24fr/0jQv+b5sUWbuvKyCco423EdTDwW7ROH+M/MaGP2QTzNz1B sh1p0mypy290KKaGmvaZfJU7NOmSNGAsA7Eq3zQGPHDW45/4GXnri5xLLNnybO7r0Ndv34V/fxH0 f64f4NRroCys3EmRDJeCh0D+WDA98E/EHP+OtfmYOGeO+CDzxS2m3FIcGKs7pkeR5dgt+S6srqxz 96yb5/UwV2cpnC9ULYZHZVQa9WYc/XM+Dk71YUYpaEFd7osc9zT0azChQq+XAkJsqukhufRg3dQK YVPZotO8blEly5GYlPFGnRW13eEh9DRYsb0pSQ== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 13296) `protect data_block HdwiFh+7q6VKXXo4jZsgnff6h0l8JDlWPWOjLvS0NqmI1inJjFBOopuHm7m3G5HsyXcM8JPIJBr0 SgFXDHqNzksRoC0CRa3Sm/Q5BWeNC62VdSU1iJwTNaxY9iak7bkj1XRKtIVjgK2T9+SoXr+pt9ar qGhhoh6rtfjLwyTh7AWiiGJ5q4aseLEZoGLTEQeeAe/+SlmuzPILVBYLSsEzOxkijaAvw6C6oSBL kEkdgqQmwa1zT9X+y5gxnOSVdOuu+zhiw9EWH5riPTNqUI18bL7rVceyRzW6QNoWU42DtI4o+Qsb ylyjSDCjEfFtuxPlq7red0bhWOrOl8F/MMHm1k4Adlhnxr4cGmBCxkdHK9+51aPgx1xXJ5guqGpc b0cLp/6WQjKoydkN0ixJgKtbHnFqDFBGYoUMNMQSqTW9Up6YiI+jS/Hy85UoxnbvfK5JyLoYQT04 eLNKXSiSWuWAF5t/cqFOEZ0m2TqFeW08ePLk2dwZGG3ARbamgjuR+84UDgwC+qiGfgQ3lbC5/lao Me1N4HQRqqM0QQIBk4X5a1l7Tk/g3DdohSZeyEePDlLtyip8gWQwEUnWxsgjvDPYZ+NrZJ+dHqR7 V3brN1zQweldETecOP3Sz6o1UN2KzrmE06fmohn6UfVOBu4+0sq2P+BTJnr9NP4F44BwrMXxDRmR XjlATx3Fhd08L+8tIF0N+gWGIf5+dlPQrtNMmmHHCM19awr+BqholxmnJvIo9eStJTzJ/kqbywgT qzq1m3VsnVBuHRLOJwDktXrJYOyC9y+asvtff/GHo4EVtVgOlu4Z4atKs7fibGjkGbZF5f2nQCg/ aJhMuxMvlA5gRVvWMvvQjRr5bN/uh0NM71e8/qy+1S+fxwdlVn4QdIeQHTtDGOXysFCyF1dzF/VW hH3oko1xLQi3Fne6Kv7UMGWl5u87GlVLkaaqP6nXg2G5OfPiyN0LLHJMKKfY3E8bfas5Y0ZesTvJ gvpBemHYyY59/7qX+MjCz7WuYkomLgQmBkxT6ul3esaViP6Z9VKtrZHU/mQvJ3MAGG1fTXiYYRKb 0CvzegLAvFpE2hwXIgPGxbqSpeGm9KUkHpL4mlNCyPjD0Munw+H2eP85xTk1TzUpXIXsoGS0bChp 5fqoxcUxkFpphZI6Nm4FsDW4FlvSjIe2bkmjTnvTLE+ZjsajxpCZdWI0+vtfwc3nER8zv2PW1LJF jyCTsDnHU2EKrDWzPe7Sh4DcUFZAwB0aIVi1qV7NpfDOxEMn0IERniMVNYjVpE7VPq+F9pco89Ht S1U9x3WHsc32Ttc0ri0ya+X6EJV0zfG2W5XAWzT6sUrwxVpNdqAJSLXBn+FdklBohmo4jjARokLd Ytoxh0weeC/Y5pmiLnOacCL9tUmL8gcd8kY6gUCJzAm2L5UMaLuh/+zqIYcmbrESMk0f806CbaJ5 UHTObVE40fVHUGNAMGVVZOshwP3HS3DFB/x1h9JcTb3dduFLmUtynfjZXuwPtmJEPoZVCoVvqYuk C2fvBUk9Wbi0yNUl0NdqEyVTTw3ob3uMDN7+aF2oNAylpm9JDhJ1Iv03rW+4BULl/A//FdPWWVvY tb0m55ePDOqZFMUfPySc4vN/Tq96TSXnu8m8Xr5NOPGUEpoyLe3t/l1sFbzRCqRyUg3v0SIfN0Nj p55rP/gChUZhZREb1t43wDaO1uZAU0uPKYWHa44CA7WgMJMgAS2NuuVKN66pFg9xK94OcTlWMRV6 uiC+KEbWuT/VCJRb5T5mda2PrH3ioj7gkEv7ub1BaQYwE5QkyCZpkI+D3hbJUHtj+t4bDOfTDHbx 5lnTfzcpLgVmAlfAJA+lmAzxke4krWKnz8PCIaBhGij6hpfe9pPNCAd8pp3Vy2dqVGwMFEOgOU7W CpzB/Y0s0lBRImWJUM3DJquCcpRK5VrTA4ynSZHi/9tXs2By7OP1IshGzIpBMY5l9rUvBajqtGhK ZuE0DY32Rs91DsfkjrqZ4M67q8KHe1MsBzFImSdZ/9hHrGajHb197ZALk5ux7l2rCtZjLvJ5gkuq +K2YE2Z4xmsiCsmgM5VZVnUcvYLhxrryayZ6czPoUhJnSNzzmFVA3W7mJiPjr/v2MzT/TxY/7a3E zyq4g+oG5jMGYH9okY3L7BTjixY7YSaa3ysOG8Ql7sKVg11TmCbLggp2B8q2cAj0W/ozzj7Nc2kQ CGCpCGRAs3QcEE0m6V8BBpUBuak+Jd/Mk4nN0GNsLjgK7IfYlUSLfVaqllit22Kw0XA0CJlxx7Cb TbVTBYOTgO+EmtaK8DHzIZNb5FCI9DywhFdfPB12gFD09rFBLt+ayR9dVp4L/ydh9MnE/LAPtEbJ 02JS7zHY+6NtqxtMWmqpYvJjU3VZBhJakrQedkA4TfpRXCI0NbpOlOdswtq/8ezfT2mThufsCPJu gjetJg3Uii0fd/hsKoTCn3/EXb/+ejFgU8LZIiVIfSDneeWtmLTggQoZyb7i2i/vrDTiwJfCAauk kbn4sYFfFBAZIx7865qsWrd/Nixj6p1M0D4tz8cNC9f4DsklzpMKrV9MQvuW3lwSgqpX7uY4QZxF m/6v3wr9p5RbkvE1qwwok2eSwWDrVyh+mfQPlN7MAkyGtnaSICDIdYI07Uko3rANmck983KpKazI RUfCrptKjZSmPA0XV5/q+vjYcAcQPmlZVEZeeoBLTPRG9pn0T2KyMPFjBCH8aY5ZQ6hLpvrd01Tm G/IW0z5L7YY36cKmdB87+R/igoKvbLLYWb2gJUewqTMQEurE5xKE8v2wfWDbkjxoTXYc5ObYF+R5 C6XGsH0JNt1WzUKgI9Q8s5EMA9NkgIVb+U0I9mY9BpvL2YCv0FtPsxdLeLajLq/eUuAcJ0wKG1vJ aqs41Z4tRNFKcOjMFVn0yxjZfQWun94Pvx1rJEuzTIb3NBVMx8cgCEhkG/pXJ7noZL+xaUWrNZQ2 JtuYT7O7gWRfcmYalnkoeRGII8ouuLf5GOdw28chYv9lzRKFJ+dw8nDHewwXZhGndl4WK9AOUfjo r5i4A8xMOSZONdGNy7im/E6+UuRUXCciFVkvtd2UjOyvjjG42ck8d2R/E9jJBvUXRo0m7ywM+kPE I6syiCV0WwGNKgj8YqW5UcpYCt8vzGmp/kndJW9dTaAb+FshO5KelBFI310STbd71C0gPxaqp+OC yruarcb3HmjadLf0R+snrqhdQAJiI/qIelpRQHNbb7pvGiBgVhLQs5uXdxEpIuts88BQQxHfTlBx sz4h2HkZ+BJH1KkPN4iCbbYhbHm+PTocWomtB7zMqFT2uFJv1t38pygdyvW72wEXc/w00MTGNtMD lipyGlKfUbmihHTl0COEOSocNoYr8x4cmMSIjazYFeseEtNlFdNJ6BS7N4JOhHVgK+LwR9pYaDp3 dtEBGXiMxdgYeDkGDL4srDvcMNoRPUFdV3E+SeC0hplXkjAzH1sbG7rT6BGuhYxxqgPCsLoB/9VP w+W1qM8uZTRZCF07DYKhc53b1vj0PubQJjG/TroRPQcUp4GfLmdvHY84ct5cOIq4r1TdSuLr74rw MPZqz7OJldzkf0YHU8Gu6H6IVCqZzkuhJY551CnukCg+4j37+FAltZCAsz6xjf3tX9UkMjzUeE53 tXjGHZmSuw+6HEfxeN1n11TmVCDMiaS5xAXFNBxzohn0hWUcbfARvtGTCfzCm0g4+6CPqOVLTi9R 23SioriNDruL0435fNfg8Z0FSLOxw4Qt+hLLAO2bDFFDzqxNde+IwpRFg9H50XWeFsbs7O6uVswh Jc1dkSc4hOvbO7KrjleuNntPMyi2ErGBgLJ0PCdruhLQViKVa1GPiM2wbCZ2FzFlEQQvbGyjpEBV kWms8VcEjC2inpeA0Dq8exynF2AZKRBv4Wliv2izisyYtULqgW/czCexrrM69ZzXak+fVkLfFkvI IhQS8SSgD4twtFMj5B5UF18dwLljLlBgzZ/Dov0BKPBM756nVr1NJjyAYKvKFkUe4YyK/PZnCH1e Ie5B68Ow8XbWi2VsDYWGJMCS6vf9bR1kWUZ2MlugJd8k1MYir3aLTafGizmhyol0QTSSrz2Rl1Pl 9zvJwEdxLX92/LckMP4ruCu+9cRzABOd22N2ul0BRyp+pzgp8dxlX9+1O8Hf9UU7GTozjqVFeErB dwNKeu3srth0Is+Wz2FkPF+p7w0jvTO+ufGLUAU4Ib9NNclhbycI9gwNd1OfZd3YyBT3CzZ2CUQt 348XExgXt0662jCPnNVPiMyOcR3Y/RiT6A6O3T7H3YHuPNgL7AEt0dU3ARyWbcZpscrGcE1ocm2P seBYD8cgXAhOU47p2KUmdUonevDAakf1RYZUWdr/RnJE//cDLkeI9rVItWbeqcKtRSKLnRZAjXeO x1XeEH/yzk7A8egcN6gQ4os+Bwa5pt3EnnXQ4awJEpuxvdxzlW2UEKCoYQVXavRW1kmpw9iqBcZB QxNmTKPQGZ27en1lMpWQcDHMEK9U936XHIxpXUZtTnNdZd3XYK3M1nfwA0UUUIg8SV81MOBUkkwC MiPpWocUJda5LD1MaVBcqeF9w+QV4HzdDERCEGk5Popj2PEgmZm9lww67ViPFOdhQ4QucvZMNtH+ 5nE93VNLJpZvPzSvlXiIFiVjwl4x3oVwpdbNcXnFYkbTe/1ui3LDnGrZbZAPvMHOyhsxBBpip9sc /62Il70l/dpbr3oEfQ8D/CZIXHsP9nq4r1P2Xn1Tvam1bQz3fng/bpqObbUW/lCZznED9LwGs68P rI8nhy9+yy1do44j+CXe2eXTc4Fly2fXB8VmsCmr59t5wVtMwOFBvCoMST0dGAsb8Qmi4wbxdLtq otFzppWEaWrum6uAl7mwFwLGkOm19mPmSEjt+o4AfjUnbYB5mAyX9VV5eTVDcLdF5vR9cLLKog12 KcCFx3N2Qh7y4/su5IMO0/ttxGPxI3ErZTuH7TxdALv3VKQfgJZLrE6to2E8s1omrHEt5gBs0Scl OIcUaTxDI1fsmIetMUKcNbfWxTGUjOkO7v8jMGn+hJUDO/wGQ2qW7mK4C6L+IY5y4+AoJ6nxLPyL 0eo1vJoeDnqYVmtQ3FjylgR3etdrHb1ThOfPeMH4wxz9IPvPfjguBaNYaysFluGbRaD3CetuzU9I bPg2J49hNTF7uP+W5tKIDb4rNxSA1qVikeeViykBEdT2xb0zvEk1wXblMm1QaG1YhE3c7INzvV2e J+wFZnSacNF0YCCHHG6ogIfriZePdhp1Bj4SQv9MVPI7itFOkg69j9wq8EJm+O78Rz/+qK9q1XQf beiOm8J8KVRNJHOQvu+JX+mbuQXHkaa53AaUi0S+UTITH9fdUbFTsgmT8UXsEjmyc6V26ShAxzFa HvuRb1LomB2sGABGxaKOVf69asmmpRVpXsHflJi1Wtc53xv8SzMMt1/4dG9PB+ToQZZf/Rn/t0ED keGOn5b6ROwOK4bgfp04bt50CzKYvfXeFFPzstSbp12fqE1W5KhwKQfLl06GxGps52QGMiA6Vi3b 6xOMzB7OQhQjyY231wZ6JH9zSDVzpRAQiUpEOV7/5UDVLcumzNCHl2Ujvm9MZvzNZRa9F7jCqyuZ naLAnD/sHXKNKp4+sN8oZNSSdBr8saw4m0cHrtFoGA/6v5U70+s7qH63/i4e2w0kPil0mrAOtnAr wevPZXhnMTRUFVL3SpBpuM4cDx2N6HlJ4kKC4DM1tJGetSG+jgqF+gplduVPL/G+7mD3MGCMYjhi WGQEOFhmHg/aa0QSewHSPPbzgnqiwMwhcy3t6DdjVs1mtOESOXim6dUUxBjQCx8DuF28/Wk7/fCB Plwqnaf9wUbaesOh2/KjjImvDrTaWfEy40efIDKVo7w8qK2mM+5ji2gVlyEXASldU+IDvy/b9xX5 nEn0WUIm19jdllRavWvH7iRC4jHUYMD4PwETSLFgouGoqA/wzbzXfi9v2X8RQqd32FlBbjkF1cHg ckUkNCpwzgNjnEIxmL7g0RfrwwfFpwWvuZtq3hDiR+0FwEpwoOZ403pUyJ6SQ+AkEoYWVAXyqVCX S0IOr65IWLRYOR0g/6xpNa9Wmj20KlMuReajnLalecEYOgtZdobEuBWhqbgpUXbO8jnStQ+G735m MHm8mntWbh2jJfN0LNrmeslOR43p4YRDSIX2z8qis2SYFn0Ej4WZ1cjZV+4YB0Q2fKqJ4CADhlRd WDkCTlYD+upwqfQkfOaMzEZejYvqIOn/Qmk1J49CF10odMAtnWHC1qdaRb3l5re3x7cvx3ILhszQ NFeZv25cPVnQyIaNmLYShUemUEfsyfEqTYZB2smcYZmzXs9Bi20ujPsmVW2jNNne5FbsJWGEm0Ia NSIxWs9G/2ydQKbF6FHeMSr0sMrYi8w/LAvsLWlELLfoM/mO6VNWLBC2QyaiF1WEVFn2v2HYycj7 RY4pCwIedoIFBflhk/dLYCiH56XuGIxqJPyYS+zBO3974MKuoskW0XvFpNGy6oEgMUz7cWend4IU VjHOd/hEaZRoDSR/Oj1lmlxABsIqdWisKIYleqicvE0PmT2Jo2gdm9kVV44Gw6Z2wXe6XUfrjyEg SiB/I20hA/Es+uxUiaTDQO+Zc1ZqOd/ueoHESWMyFMICaeaK1l/SD9/JmvCDpCQjdLLYw4jVrcOm x82XSyfKdMIlApb6Rk0XdTzoVKiNkaaqs9WFTBYmntOjbqzZjKjtsAyOryTohZQW2tKFDS38Gi7p yuMxgVKdfNZZ1Q7PU2RjazFSyK3OFOe275+0+YHFi5zhVwVdzJgktxulyBrWsnmFiB+30A0RHyQS LUt4P6faUkXg0kJT2f7DPqFb9ay2wBBTG/HUZor3ZEBxPngcG+OZoK8Q8dMcGBPYDIFcZPFLmzYI kUucMuOkU3Ult4YJ8TXgvhqskpxcRwZvmC9jpLgZdS+yWwTHZr2hRLr65IPNmu8eosbGV1rZ2VhX 6lHidoVv1pRyzeTbCbNYwVihIuOSMCNE0nauuDoRfhihyj8yfv2Av59/H/4hKd96d+XEzwDHUO5K XW0DKvTT4eVvvvoINKklkw3BkOMMLlLAwAKj3HFGaoBNUrSuHzbu2G+N9Dx3Vr/+BSjcTB493IGv 6GY4PMG4KLgh0/haQXZvghE+485BdqN2u590k/y4tyfr8UolMOdwPPDYZ6ceT9c19oDioRIBRLRS FqPnwliATX0RdBQaKLEp0azVExQXltkJea/Vd6nF+eWX8kpfpmaizkgiw/znlyUGGvXE0B2oRAGk Qs2yeEbQACLaTG3oIhN4IdFlTdkthFlBhk02R2yb8Bn3vkUOxqpP1WbEYPHHWns5N1Nbu6ZyyvKv Ft8lMv/0mBYZpvqR6HWU5vqp/MP0JAdB/5H+pXm2zDVIshHVhEz5PrgRzLABvwXI+TB2CAc6K8Dr 3M+dXhCLtoLXJ7FJQV25BKllp3rpW5OFlJMvXKSMhoOxXqOf8LgPP5Q4wP+ZlMeMgX7us3dV3QGO D2bF/cAh84nF2xWjfFP+NpmfqDqA5VzYMsWz480fJKHQLKWmQsF/nXze4KMaeX87FM5I9C/Usks7 C4qZ9xhUUslBcqYentUf96s4Y7YMB+MjR2x253hPcnxAqzmFAHqCAgAiURbv6EjYCLDpOC3Q4ZQI 4DvtoSCd2TLpVRIxfZyp1U4JVxo/c2gg0gb82FTpC6GZbhG3yW1yQ0NRsWM2mzhOOFDbYDwcBHI6 EVMXgVE6SStQRGMLY979GPGc61Msv8HViIB28+5x/YSWnD7l2AHLkOyToXucy2XgKxw06nPOzxA8 0FZp1UQ9IpR++LMIEAvq+Zpk0ghlzAG2B1jAMpuMvZXsA7OvwK8VgpXjH+JRdebkFY+hNOe2b4KO ahzupqF17Qink9fh/0yYegVy8YZmxTCBjY1bH3tgvHVqODlbgOcpOJUz/lh6vcZGnHWDQhIEkvuI KVGLBB/35FN7i6l+U5gmRPPLttpRhI/ySFt8HI/reqBWa1oO+IV/cSoOtNY0B+YZ1OX3S8Jj53fh tqZ4w7KcV11LX8F89Oy9Cn91L7FZlO12LHOeZ8tMUQyft2eGJOfJWFYDsTVTtB+oUcLeiVxYIywv 27cwhCO3vdfvjMOkJaZMj5JmBOz5eSX7nDuiofDn/m1pgPCMqg6I9E+ZlLDZ4QEd4nIp6+q1oNYj NZ4RZqNuvY6VcxFiivRI0pqWg0KvGPgO0GEEQxrTznYIP+1lr5fBWEqQ1g7izszGo7uSOHLtNuOj H/3OaBTMq/yvaQ+iXofTa308XtwQyH5HtcG5qjfGS84ESqcYPYMLNB07YzMu/TE5/7Bcizm5OxnN U2X4Y3Z7RMqN2ZwgW0FpoalxIvgVlycrCc6WqzpNhb8SXqyd/iL4er6uCX408lwm+A/iexql5Soc UAjE89woZHtrfnbCVxUZAoEldE8aiit7WDAa6TCB+XXFCQ/Vt3ODUiu16oP9r+HmmqL/JKBHgPIT kV17/P41HubDXWxt3LcX0p4W712nu7m3hFsTri4Aul6S/YgbMhJ6Er/QymVHXobk+GUSAL3bmuHF SC7FYKwQqjSRssBqpvtewdHcT02oOlCSAn5V1LWqGQS9WE/kXSXrtjKWh1yfukKfyIE4phVySkvt LWHYXSNkG8C6RfadiqsABkhM56Wom8pVB3DLq3cX0Uwd0ZLRjH8b2LyEckg57raQV8fI2CM6fhDp DbPX+o8RxyVFtiNl6lM+gPcZmmng/FCEruGaN8A1BqpXrhK2JLl+KieWl0yAmajFLkg2L4fb9ZSk i5W/450idn+JsfDT8y1+AHhjw6jk1BmS8XavrolK0O6qwwHrIXj6BZFiNo5OroywUKlmX9KyUGzj xSatJw7+4mYp8UxONcSiKWPPIXJsyTLsKvDVsHOsutm0mDC/61TpiJdks22no27H6BE7oBJ+r0Qy ce8nCMcQzSOtK6Cg99ikP1tso2fu96dDFB/wW/NjWZC5ZNO4Riyst/TzoUlrp+PWTUx+AwDrv/Bn Zx083W5a9K0Cv+UKIy5KRgfjc9YRq4/1am0rHPBUb7d8OlDhA6luV57e5eEaTgWAMNjYmySz53eH 3ADV2+reUHBSRZhZ5FjyxXbzy3RiihGAMmyxVqRNB/GgHCEF3JZoz9YAiSA1sQA+OlOEaC9zxLjR c9el/mBq7u1id81mVMNLy97mqV70ASqjrRx7KNZNUfzwETBrCEInCeHjuptkzvH3zF5e9QI/gb1Y c9muwitjkca4K8jhQNFqbJRTrjoqwGDvN2UTUUmp8cmPc+I/i2Y6GdImDaFLggApyet3o19lFJX6 Q7Waq8sp0pavRYqx4dF4KGBsnJ3QRSwTOArguotovvJcvJp9xe8SZiP8W/vZ25xaD+MwuYpomAOZ IiRNqLK6f7JZtk0QM71YHaKjOg5ZvKVKIT/IlU2Wl8fCQGAabJl0lG2ohhprKSWJUZ2yaIfMNO1r 1czxzGtnxMfqs+Bwg0Hdxm0nQ4Ky5kofyqDw0oBlApUiTZe2I2BW+b8KAnr1jm3q5CcbpUtkfPin 2PgWhzxjIf3qq9IWV+y22ck8ixItF4ebdez6p/KbBa1XEMgAzqInHN391gOJ4LrRdgllhT7kaw2P u5LdYDbcOW1OiDub63MomYH14ajBrWT6Vv7FBpF6pXq29oIkTdXvH8kt51pz0fuzfn8njHrVXelj vbqMI0i+rY0gNs9xyzOwpVKx+dCos38vbFnIlazH5bA0kXZ7zqJ0tdqlv5Ie99llADalOYqfJPuv EA7SxD2ieUeUmlMdQJ0lx9PTGfMsBEfHuVt54p4W4hbYysY4nW9uAnD1hUWeczRPxfba8C3T5ldi b9jqyffnNirV+rmfEwNUnz7z5tnftW/p1dw4VKnCG3CEra8S9IhtbT7448Tr7lwky33DcuUWUFJF CP4qAwIJC8scA7EdGsdn2KIuC65M4o1YHt6g4zAmkLMhbEe7qj5gV/oXgN7UN7OMoHpSOftMYdZq a1iPME8Y/Tb9C+s5/u+7JvkLxts7ycAhYlS3ZkY3wVqt4u7HzbzGa+ZqjlEvuatWkaelZW/G1jUU lKBtmsksT5l8CU3QX5AkS2kv3fLSUKw2pmhcoc3kYPWyulwU4O9rgEDeAPXKTSI+MxsG2IZJoqxQ 47BZ6ILjB54uaXkZmT8OF7dTJCFXA47GqFPM5py9tiULmdpdt0/uIgjLvfKwT2aDjtMI0coE7OXo mLrOthdaujyuE+WS6MLx3EzGltwPMtCLCesvvkUFo6nIXGZLoK6gqpWVjT/SxSBft3fRVcu89Y9y 11f9nTD5OPQKakOzQqbHIWNaKZhQVhfDYo3u1kaFivP1UE0fXUibdmN9rPVASBsFI/i/X7f1XS2o aMlEwZVg9hFVv5gbqyihTq5IadzK0e6cO8UcO3gYlsi1xgb232uGfJXOuBo7L2C7ypjdiye0X9yC ozE0j+5pWLEwDybs3dyf8fKYOWEBcu1NEIoZhI8TNPxKhJRk9QM33IBzPIIlGCx8jNaHItua19W+ ivsyRi/EBMXosnpx9EvcNe/PDxx4i/3KpB2iEaVHa5hl+oW1YMEbUdbUabjeURp3YnUEy40KZJSY JhLruaEh7AdCBOHQGO/gDSQccB2LBerFyHFj8F0gWNq6Uh7YAwQpucH0V9O+doy3f9hHZTdL/lA8 s9sT+V1L/NJxv+BnIF863Jyvk7BkzG/N6QRDRdnfVwN1Nzwq7wXRiqW+0rHmHf5cy00aQMucVUVs KuZxzYXWywGrvRABgm+jokSVkiro5tw79MnSZKXnKrk2J5ZIap9eQCypWk8fU8Lf3NzoSzANF+da cZM2Uh3gXvy9gE1vVxi/+3U5IZtD7ziT4PQeHxUioDjI3pwgurZzRWOIwQtpr/5KpdS7TZHWGIga 7riOR3gopN3jNaOe8GPjXJpCLubHJGI+uv/jcBMlOc6ZnoglVhfHwsug+FhZTRXMaCNY215f/riI lH6eDXmhgw/Ofl+C8SUSJE5OAMVGvJfYZVAcEbuHksQSffQkRic+7ULJLSImO7WlVVt7Q/FK/KXN /xiIsiz2ptOpYW9jnPkWOB0h0Lf4imlJIjfeYhqCc9lJ+AN1j2p1DX2to7VxPLrta5o7sgNu3uul bFhPjT5F9HJ/7QfQAoS2dhMS7GmZAZYkhzj+xzoF41n+p0dbMnNcjVceU2QuOwgsaxSeh4EkxjO7 +nYkEskL7BvK2mdx8aTkyF/3c5QCAAc8N+9eS6FWk3gar7u6CGOCSH+809JJ8T1lChInZ35o/wbo WxsjPKUaZlt+UokU2Ch90FE7zTjmzJehX5P0Isspk+Ig83CQ4VVlxlJYUFGMOt4QItub/h7BuGeq 8EmXTrvmdj9ujWFwmGb4JvaWZz16iIwDAhZTjKhw7k2GD4+dJxp67unleoULXaMUcTFLJlHSdn0q Sbs01thgSJEO/1+a4zDvsft5vDTcBLnWzJqojQ2Btw97okagWSdVxgj64f2FAoJgwcu1As0T7lQ7 gbVcOXhc1hqMnjYqzXryi+One2cpCt1S3vFdgMATLYLLQ01h66dB6vbuWtTScfHDupto7ye8KUyZ BrI8iZBsBTPviS7+jTDufVfrQJjR3PhlaqGUGfulSZwGY385bDcubHuzK6HjK92y+x7gpVuiqlet IR6radRwU/xA3BIA7lkDYkNeBZpIMjmSBlVeNQA1iDSqexmPSsrgcOA68ttNpsJvTxxULlFbxwZB 5lTjsCVgKsSzlVsXuN5lSeUwvI1Knozjbynuyyj/mYx20lwvkc1OaQIhxg6oq4hWfk9E3WKxZ3Dp L5croTA7jZA8lwpojhTMX8ywpk48O1Nkzf0buyuqTYgrTPubfNXh8yvelNj59BRtJkG26X91WOII zbe5GysLa8ot5kiqJGY+mYAXwjQNUzzucffwN5+oQN/fV8otTi8F1jbrSKcUSNzA+WollIuqkeuj nnVQDLOftenHRxdHIO0euU1WtvlUYU5MRP3w4hZI964fiy9ZoA3iBmqCOmLHzwuPwx5wv+xsNguq EtycjduXq/85nHs4wxPRq43oqu7lTgb2i8qsWjN2wUHrqmcU4+s/a2cRAPZ9O990uhXaY9LZXqSR I3WZiQV7OJS12e2erIC6CEnfkc/4v1YG4lxHl6F8ld7FOfDsilAFUTf1xs79NYp51xuUI64aMYCp zWYvYVnMTodIY42ofpyp+I7qdcGItShel4fLv1ekRy8RxB9gl1iJFDjf3CS5H5obahUbNSPOqc9e Clk8uAsv1bG3ZYyWYMYIs3tRLPQXFwHVuqbDTZE+DVLg6bCQEKTVuHyIZRIeN6cTPGsZUMAexwln JtpBimEhO5CGzdjHfp/8pbiT301g3nt8qcFnCVr3OLQH9B0KvTl9wvfY0DYDwRrJiC3pIlwY0qBg OBtuXVGCCfwMhPmvq+7O+vTaROTXR3QtiHg7tdTK7Use4Fz4n7kq465ZKHv1DpG+Bt0/mIV4YKyJ ev/9I3CgvnBF/4YACoropT3LmVgXKJ+Zo14hs2dC3lUOL4Gmj8Fk9A47s2/uFyctuA1v3yajWLw1 nvoCfPS8Vnm7EKII1Eb0ia/PR4zcN9A6jWKzwemYIhBlDYTzxGNscc+8KZ+J4sji5Y/bLjsbksSd E6Siz7tlI9DwVaVjMhztMsP1MnxizWmysj28Jz6Lv3blfc4/6MQZAHvQegFIVNXU372NfMHCeQVM o5kC4t7BP1KbxRCHr+evmsqv6PMFTXaybOC51wbuGMjyrtUGbmF56k+VecpuG8U2NtvzRU0siAVK 2h0RkIENpsi2qr0TYrzmmZOawd00MehHequdIHM82OlO7J+o8p592c30wlkWNlc6ck41vjvxwy1f 5LigDGgSUjhIR0ehTAEajxPt2c9PV7eBBF4acVNzw5fzd4+vfO6s37tA3BTQTfMY3RJfH1dDxhnf a6zmVYod3IVgQkyx9LBbwijNCjMLkBSfKEts6SD1LT4Jc0cB5jkLtYHOQ/c99If/vzTnfCBhBVcX Oxv9w+khAYIFu0r/9yI3AxEyITfeQxpwQaTfmpBYFl+LjgodJimddsFvTDCPgtnr7ouuraBm6Ri6 MwBHFeG77KenvR1nxj0TUtZKUasTyU6dnThceHaYUBKKnp6ngVO0B6H+pH8BZ7DMWtlcaOkjszhh EBzczCg1ZhleyKQwUgylR3k+WwOggyPy8lweio4Qo2tmrVjAKqr36vDdySJV2i9d0vLB+OMkex/k xFl4tN7iFd03BoYOfUKYe4BNraY78Evwg+g4UUQb+skA0y2kXt5AC39gkAI5NlLMzAh2b8b+0kvY NSlaV/Md9RoGD+rMrIcqcIddQLbju0uEbN4Dp21ltj+rrFDkzLBKvxfKnHlktTAKqHtFOSCL324P LbXdsD5E3g6SsH5b7T982IK2q4xztU1E44EOJEhiQd8Si5koGY/EVF9CBwgOt2IN0h8SoODih1lv R2sn2905QF1+QgVd7mLsb9HIAze4EbBaa3pk4k+UehIDfVZHCNrhlAfdLfsSkiXDDbcturwUjOx8 N4R/I2CUlNsAVmmvka1jBBz15cGpvamvwNynvqHIvVIjlKOl1Q+2Za+If3z98QhCBXdIRUDapbe5 J3StCpOr+EV8CpJEYeKSewVaKOlfwE07Ph4Q/K1GWTxAG0mrwWnN24kw1ghRM/LOPtqbpHUiNj4X ZnqLih/37dioAtysMuXnVOE2DuWJp/vT7duW73iZAHeE2Xno/ptUpt1knMeNCL0bvUXf+dIuVoZK eBZP/G3iseKuhuti5ZibcLejvCtJLdKkdSqgYpI/Fyo4EPtv4IETNLC4FjhbfZPzjSGymqxTamsl /oeOYh3aikBQQ6Fc5JaqmVec3b2ClCE5YbZveE1IrOrdrNyO778yDns1fbEeBGZZMBLR4p7Zurtg TVUExm41PCNvDlZ8BEsfB/ZD/m/xy5ojNvb+VrY66enNpZ56PEF9NkbixWQzE+qxf+CjBkRbSPQw LtiDCvyp8IIXvEjgf6TwZdEABVkzCVL36h+npLYxDWTcdbvg00hnYv6N0X2yoojmm4DjdMiQqn9O Y34tXU/4FIMgsnSSLs42WpRI758Qhe8oyRYeZA9oIizyU7ZnxYTZwUevMpoDtUqV08WlWbefdACT W5B2o9Zm8aYq3oWMXOij1EtpwLPW8c9bCv74MMa1ahpBG1wnOge5GzHq+DWTFr4ONVXrSKSeHcaw gjxYhkmAKpSBHIHf7ngx4/Z0/VRhBcuvIIkhvQc4BzdQjcJVlCfdLswoEoDnh/4mpwa9/UNkBM54 0Pl2ep3XUe0Sz/n6v38BigemScpks/GeqbSnZsqzh3UOYLnTPYXiKdhH9K1dgTzfbXvA622qqPjc Sm7Oh8iG50hY1YceI6gOsJESUcr3PBSO0UvHQEGuF6dWhGAj9wX2xVLfjiSBy1WxiW9DpuNu6O8d tdb66LSN7yq7p2VrNGPkn7EFAiWPdQqfDcpMIReRPaDQxC+QKH5tqcgdaZ5zgoUBFirfgWQwc4YA j1v1BJ1CrpNH4p5+oHeT2IIHjBph7mwKviN1B8O0FjTTir8WQ/LfBkg/4ao2AgrP3sjn9nmW4ebF NcUbX6nZhB4i28OVg69brEmlEusJ3y2cNkpMbSw6CO6MaVhz6ADimKNtxrvoWe8+whg3mmtuKnJw u6ylsEW3TKcpykipzIRAvu0ggjhFCbXrODi74WtD/2zy/Dr+AoLWGb+kpMTK53c3PFGO0d2AF++y SfvOu4k5ckwd08V9Avj4xJ59ni3wsgqXM6tRVgPM9WYVURMxTH41C74xCIImEdvwtAbxOLOUpl86 0dBJ9w9Bl8oTCC7x4sS8zz5zPVE1iw3wBkdp2Zl8sWnWuNQW+Y3sPNWK8d8j60c5JRo4MbhSLdUd irSpU8lOwW6rBetdmjnGMCvwINmWFIWlOy3SaCYzJCLpb8LwLcN9Iy0EVHWtfSj2cQOLm98kt7n2 WmBAnUR01VPxoJ09o5L47FSsvzGZ85UuK13QnIl2Hg2JgT/RN77TeEJi3pS9k3ITLFr6kTys2QZO 2i5euI7Ustg7pbvoDmhwB/ORCB33xp1jUU78MM/Pb0vLzq7GRIWyAEgbMjQptkJKFuqvaB6VRPcJ 48m8XMAOgM5PltZGUQdPia/G/JTckCp93dHTheYxN0A2h2swIrvdehPPPKHtrfqbI0dNzG1wj8Li ZVWPev66yuRwOpnHCy2z06rY+bjRQx0CMlaDip/7kbzV9fHTd8pv8cc3YmKh3SlWHIwezZ4goQ7I 3Gar3J5cg3B3wLCaNvo7bE4KiCalleKfcaJXNKe6dxl8j/APuIvA6qoEWEcRtVJYoKPioyhJUulS cZt39OrBH0+32Ip7Tdi5x251J2Z8v0ajCg8Ga+FgUrxzejRxBplKKvVEXcJ3rFLpt0rqd2Oo4LMf kVEkScLzr3pTvJ4B6+7LgIh5AwTg871VwS1WmGuE62h0PM8wuxMQG3S0XU4Z8IBN77FOKe3DTVCY tTN/vKeSFBerEIf0urLVfqU81rFOs6lcUtFmAYKgOmGN1jY1e/+F2EcAqRNV8KfVBEue8Z+/81Hs 2f+AfrgOk7jcycBIONfpnT5fbjTfM50p6i5mWIOK3iCCouguichUwk/11BGBwYOLbUCr8Dcwobxs INQv5/WgqJYYcfpia826Jbvr7heclF173HRYCRQZi1EodIkm9faw5paas+8Z3s3GZzWMjtRagM9E wEsOq0F12Z/1UhjbmI6xUYXNnh6tSbFz55+PEYQrsohO9iYBcuQgfYjbkCf3PMNevPRpKvVsmZ3e b7gRmDhLsXjigyoVZzbBCVsIonwzhFjRDrlb9fI5bMQt3jYi2dcHSdqcFtrYvM/1hfRy78Jhm/m1 gOqJmbAhY5nbm4LFHacsJdDYioqqncZ7uuPDpkBY55NiOiEQ/LuzSndmj0Uq+jk4CojHN1yUS/1l heD6jn4yXhzI3q1+5RmJOmiHfJn2+TDddU8VBrpsShxMVoa+v915Y1jo1K3gOU3qSG2DO6/lB1aa y7wfW1q9nJBd5OJInDtdlSBTxLbG5NyKuWDyRFEQq78sO1R/+hnxlJqZzA3mQ5GI8U0Ptor91yun NB+wnS+/4+bWZE5v+EmyJr9i4oGVKe3ikhFGbF3KsF5HtzUqAt+huqK7WVNivGQe2V6Qn0c7j/Rv MKtaRO05nHKfgCfLLqRC6zPRrpzjD/RaxbSdbnkXAhKAJHVwsLs86m0vX4dIMigwVwk8G0tjWU+o GAIomsZQeMSmc5oyJeUIgfrOzUNNNPxp5wTLIaVMczMCH7dEzsQuml31eWTHZzuqPUFsMDlfsd9i a48FioJSVGFZxcRy8DZU2x/jJxqowhcV7sECVBxPOD/bi0mxWHzZZdGXcRUyy2yOg9SsaOxL9Lpo 6bIc7buHYPISgGEGITVqesqQnkSTlGCDJDfC6uDJzMM8MbeUNJuM+c8EHa8u/FGc53iUHur2qkEe cYymG+0UOpeBey0QwP6z/Hbl2383aN8+ycG2/qWmdGs0fE0qp/uIY8n50FOEPl1rDzeQXrKO36MB rlcfHuNNKl2AM0M1TQPJYeAKtjYHzRATSiJi5uTSrpWbltwHpwKSDoo1XN1sAwWP0jFIWde/h8bq ibAwK00jksfwlcpSu2iBT0xzfLBSl0kDoa9A8oPd8T3w3SG2yUsyUlZyHxOfRjDw5LeQ9dv3KtX9 mzmkW+jbkXikwy42kMLb13/btOu65vc2Bx7vPO+OLg5TPtFcvL/fq7zI3bfDbhXWxGtVMq1pnpPp E7wjCfpOEhsf76imvuDYbL9nJnE+fuvmqu+mnfU2yqHvSaGd0WbTNYnIy67Qe10Ca5UthVHDSXYw IIWUvGT0MBF4+b8RY89vrjGKfWIOK0TiaDP32MAM/K0mYSd3W4lMiWcenEROCCeWarJmTx5V46oX GVu6ZXitEG8oT9qtj9TPgTApMklndbs1F3twyJ4pHfH9yJbiD/4NrI+d97PImdhD2kUfjpoaMvAL v4ruwvvUZdbSXJH9rIjmnlO48XUq3CcR41otI0yNreAqy13PMNWroBUVcWGNL8Oa1QW0z4jVQRDo Kz1DcOsWrS7Dux6u7FCcMcj1Zk8gai9il5cYhOTOYWsKOw6/+JiMbK1ngvF4zteEvcNj3vMTSLyz MM80pwddMxRYHMLWpmnXgv+IQVn67bzMPpKhId00l4/Z+7k+mlcG68akqvhbQpXYOrd4bjjswOwF QKBNHChTCYJXTlGmwuWX+2MY0b5OdSCRmIFKOK3NpwIMvpIuD1ABiw4yriRyMjjdbMpl4AURCYmP tXoxO54dqcPyin+y5HadtWkXRSQkpUC95k5salWzy0VJIePM3tkstbF+K5zYXwk2aofcX9rk8cQX EyfNbYzUlVwbRvSRuuDf92S5ygPSXwFKhgUX5GGUIIf/yX8+CZfR11K2ADzEwoG1sl21O2gi9eIV 9ct/vegpvr9RL+jSHFjHqHm7WcWDALs4z/FGZz2BGc6Q1zFUQGnaMPu8fGolndGIBld2pKCqXgi2 OVAucwEh+uRS8zHANNurU43l9XVM4hXCUtYEeSYSUC+mDwTajLyP1nUwsm8grJkV8LOhmItWqkYe BOKSG+L4rO3J5yuyDG13 `protect end_protected
mit
HighlandersFRC/fpga
oled_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/blk_mem_gen_v8_1/blk_mem_min_area_pkg.vhd
27
20310
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block XHCjR0nUvMBgM1clzO9mSr8YEx9qhDtoXdaphp+J1JlsC9lSFtsV1/eTy/jaNsyBimTHmHB4CLra VqfCr1I3uA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block ebEJK3bmI2t+WsBGbhWIt2XB+F+QW56z7Xo7/vGiNjxPbaq48cjkY2KIIwhppzuYFDUdRDxp9Iva RlWujqNPGUrxJ1F5Pa0zN6dEMkhKPrWWxZpAFto5e5cB6DM88tJus2O1hLy9PRfKWKn8u2fBqIhs zvXwIEX3Rz7kU3GI+Wg= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block oZLpbXnbPC0EfiuqzOyPqmT4FdlvB20VtdO3P1fZux3uAWynrmGeEUk81RKG8dIjeHdSPnugG+6c jKeGIJZZbH6MRScqnz2QBuupQkeYWE+dCLOq6/P5LV7F5481QZZ3bx28u0vHGlRYhLiMW8KnJ8Xs JLZ2IP5YULE4cFTCCV3WAM+IdulnwSP3p8oyM0uQffeAJkOTKR9dl0lslKFBplzuTZ7EnXSmYYXA x4iYEfwbmUZvdla6dJXCCjtKnKqL5vI4L1nHOaep2f0bW/K78py/TJVV+vsvE7+Fi81aNwDFBE3d V+IzN5VNKD8wM+OpLL9AD+xsAbJ5JCLz2sqFWg== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block YaruXmtmo/2yQOaZLp6UQc/TTak5F2uchK3/c4SsORqNnQQMwFmjpORZM2++MrgqzkHH5KHH+0SE PP+ha/JFKIuufLvaAIVDYgMKSDFaxIIvD/8aIAhw7TgTE10+TXTruuPFiw9U65VaBnD/nSEGkP+6 2M+aqBTG/2UNkEELi0I= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block SWJkuOmi8gVneMbAS0rfK4gI+24fr/0jQv+b5sUWbuvKyCco423EdTDwW7ROH+M/MaGP2QTzNz1B sh1p0mypy290KKaGmvaZfJU7NOmSNGAsA7Eq3zQGPHDW45/4GXnri5xLLNnybO7r0Ndv34V/fxH0 f64f4NRroCys3EmRDJeCh0D+WDA98E/EHP+OtfmYOGeO+CDzxS2m3FIcGKs7pkeR5dgt+S6srqxz 96yb5/UwV2cpnC9ULYZHZVQa9WYc/XM+Dk71YUYpaEFd7osc9zT0azChQq+XAkJsqukhufRg3dQK YVPZotO8blEly5GYlPFGnRW13eEh9DRYsb0pSQ== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 13296) `protect data_block HdwiFh+7q6VKXXo4jZsgnff6h0l8JDlWPWOjLvS0NqmI1inJjFBOopuHm7m3G5HsyXcM8JPIJBr0 SgFXDHqNzksRoC0CRa3Sm/Q5BWeNC62VdSU1iJwTNaxY9iak7bkj1XRKtIVjgK2T9+SoXr+pt9ar qGhhoh6rtfjLwyTh7AWiiGJ5q4aseLEZoGLTEQeeAe/+SlmuzPILVBYLSsEzOxkijaAvw6C6oSBL kEkdgqQmwa1zT9X+y5gxnOSVdOuu+zhiw9EWH5riPTNqUI18bL7rVceyRzW6QNoWU42DtI4o+Qsb ylyjSDCjEfFtuxPlq7red0bhWOrOl8F/MMHm1k4Adlhnxr4cGmBCxkdHK9+51aPgx1xXJ5guqGpc b0cLp/6WQjKoydkN0ixJgKtbHnFqDFBGYoUMNMQSqTW9Up6YiI+jS/Hy85UoxnbvfK5JyLoYQT04 eLNKXSiSWuWAF5t/cqFOEZ0m2TqFeW08ePLk2dwZGG3ARbamgjuR+84UDgwC+qiGfgQ3lbC5/lao Me1N4HQRqqM0QQIBk4X5a1l7Tk/g3DdohSZeyEePDlLtyip8gWQwEUnWxsgjvDPYZ+NrZJ+dHqR7 V3brN1zQweldETecOP3Sz6o1UN2KzrmE06fmohn6UfVOBu4+0sq2P+BTJnr9NP4F44BwrMXxDRmR XjlATx3Fhd08L+8tIF0N+gWGIf5+dlPQrtNMmmHHCM19awr+BqholxmnJvIo9eStJTzJ/kqbywgT qzq1m3VsnVBuHRLOJwDktXrJYOyC9y+asvtff/GHo4EVtVgOlu4Z4atKs7fibGjkGbZF5f2nQCg/ aJhMuxMvlA5gRVvWMvvQjRr5bN/uh0NM71e8/qy+1S+fxwdlVn4QdIeQHTtDGOXysFCyF1dzF/VW hH3oko1xLQi3Fne6Kv7UMGWl5u87GlVLkaaqP6nXg2G5OfPiyN0LLHJMKKfY3E8bfas5Y0ZesTvJ gvpBemHYyY59/7qX+MjCz7WuYkomLgQmBkxT6ul3esaViP6Z9VKtrZHU/mQvJ3MAGG1fTXiYYRKb 0CvzegLAvFpE2hwXIgPGxbqSpeGm9KUkHpL4mlNCyPjD0Munw+H2eP85xTk1TzUpXIXsoGS0bChp 5fqoxcUxkFpphZI6Nm4FsDW4FlvSjIe2bkmjTnvTLE+ZjsajxpCZdWI0+vtfwc3nER8zv2PW1LJF jyCTsDnHU2EKrDWzPe7Sh4DcUFZAwB0aIVi1qV7NpfDOxEMn0IERniMVNYjVpE7VPq+F9pco89Ht S1U9x3WHsc32Ttc0ri0ya+X6EJV0zfG2W5XAWzT6sUrwxVpNdqAJSLXBn+FdklBohmo4jjARokLd Ytoxh0weeC/Y5pmiLnOacCL9tUmL8gcd8kY6gUCJzAm2L5UMaLuh/+zqIYcmbrESMk0f806CbaJ5 UHTObVE40fVHUGNAMGVVZOshwP3HS3DFB/x1h9JcTb3dduFLmUtynfjZXuwPtmJEPoZVCoVvqYuk C2fvBUk9Wbi0yNUl0NdqEyVTTw3ob3uMDN7+aF2oNAylpm9JDhJ1Iv03rW+4BULl/A//FdPWWVvY tb0m55ePDOqZFMUfPySc4vN/Tq96TSXnu8m8Xr5NOPGUEpoyLe3t/l1sFbzRCqRyUg3v0SIfN0Nj p55rP/gChUZhZREb1t43wDaO1uZAU0uPKYWHa44CA7WgMJMgAS2NuuVKN66pFg9xK94OcTlWMRV6 uiC+KEbWuT/VCJRb5T5mda2PrH3ioj7gkEv7ub1BaQYwE5QkyCZpkI+D3hbJUHtj+t4bDOfTDHbx 5lnTfzcpLgVmAlfAJA+lmAzxke4krWKnz8PCIaBhGij6hpfe9pPNCAd8pp3Vy2dqVGwMFEOgOU7W CpzB/Y0s0lBRImWJUM3DJquCcpRK5VrTA4ynSZHi/9tXs2By7OP1IshGzIpBMY5l9rUvBajqtGhK ZuE0DY32Rs91DsfkjrqZ4M67q8KHe1MsBzFImSdZ/9hHrGajHb197ZALk5ux7l2rCtZjLvJ5gkuq +K2YE2Z4xmsiCsmgM5VZVnUcvYLhxrryayZ6czPoUhJnSNzzmFVA3W7mJiPjr/v2MzT/TxY/7a3E zyq4g+oG5jMGYH9okY3L7BTjixY7YSaa3ysOG8Ql7sKVg11TmCbLggp2B8q2cAj0W/ozzj7Nc2kQ CGCpCGRAs3QcEE0m6V8BBpUBuak+Jd/Mk4nN0GNsLjgK7IfYlUSLfVaqllit22Kw0XA0CJlxx7Cb TbVTBYOTgO+EmtaK8DHzIZNb5FCI9DywhFdfPB12gFD09rFBLt+ayR9dVp4L/ydh9MnE/LAPtEbJ 02JS7zHY+6NtqxtMWmqpYvJjU3VZBhJakrQedkA4TfpRXCI0NbpOlOdswtq/8ezfT2mThufsCPJu gjetJg3Uii0fd/hsKoTCn3/EXb/+ejFgU8LZIiVIfSDneeWtmLTggQoZyb7i2i/vrDTiwJfCAauk kbn4sYFfFBAZIx7865qsWrd/Nixj6p1M0D4tz8cNC9f4DsklzpMKrV9MQvuW3lwSgqpX7uY4QZxF m/6v3wr9p5RbkvE1qwwok2eSwWDrVyh+mfQPlN7MAkyGtnaSICDIdYI07Uko3rANmck983KpKazI RUfCrptKjZSmPA0XV5/q+vjYcAcQPmlZVEZeeoBLTPRG9pn0T2KyMPFjBCH8aY5ZQ6hLpvrd01Tm G/IW0z5L7YY36cKmdB87+R/igoKvbLLYWb2gJUewqTMQEurE5xKE8v2wfWDbkjxoTXYc5ObYF+R5 C6XGsH0JNt1WzUKgI9Q8s5EMA9NkgIVb+U0I9mY9BpvL2YCv0FtPsxdLeLajLq/eUuAcJ0wKG1vJ aqs41Z4tRNFKcOjMFVn0yxjZfQWun94Pvx1rJEuzTIb3NBVMx8cgCEhkG/pXJ7noZL+xaUWrNZQ2 JtuYT7O7gWRfcmYalnkoeRGII8ouuLf5GOdw28chYv9lzRKFJ+dw8nDHewwXZhGndl4WK9AOUfjo r5i4A8xMOSZONdGNy7im/E6+UuRUXCciFVkvtd2UjOyvjjG42ck8d2R/E9jJBvUXRo0m7ywM+kPE I6syiCV0WwGNKgj8YqW5UcpYCt8vzGmp/kndJW9dTaAb+FshO5KelBFI310STbd71C0gPxaqp+OC yruarcb3HmjadLf0R+snrqhdQAJiI/qIelpRQHNbb7pvGiBgVhLQs5uXdxEpIuts88BQQxHfTlBx sz4h2HkZ+BJH1KkPN4iCbbYhbHm+PTocWomtB7zMqFT2uFJv1t38pygdyvW72wEXc/w00MTGNtMD lipyGlKfUbmihHTl0COEOSocNoYr8x4cmMSIjazYFeseEtNlFdNJ6BS7N4JOhHVgK+LwR9pYaDp3 dtEBGXiMxdgYeDkGDL4srDvcMNoRPUFdV3E+SeC0hplXkjAzH1sbG7rT6BGuhYxxqgPCsLoB/9VP w+W1qM8uZTRZCF07DYKhc53b1vj0PubQJjG/TroRPQcUp4GfLmdvHY84ct5cOIq4r1TdSuLr74rw MPZqz7OJldzkf0YHU8Gu6H6IVCqZzkuhJY551CnukCg+4j37+FAltZCAsz6xjf3tX9UkMjzUeE53 tXjGHZmSuw+6HEfxeN1n11TmVCDMiaS5xAXFNBxzohn0hWUcbfARvtGTCfzCm0g4+6CPqOVLTi9R 23SioriNDruL0435fNfg8Z0FSLOxw4Qt+hLLAO2bDFFDzqxNde+IwpRFg9H50XWeFsbs7O6uVswh Jc1dkSc4hOvbO7KrjleuNntPMyi2ErGBgLJ0PCdruhLQViKVa1GPiM2wbCZ2FzFlEQQvbGyjpEBV kWms8VcEjC2inpeA0Dq8exynF2AZKRBv4Wliv2izisyYtULqgW/czCexrrM69ZzXak+fVkLfFkvI IhQS8SSgD4twtFMj5B5UF18dwLljLlBgzZ/Dov0BKPBM756nVr1NJjyAYKvKFkUe4YyK/PZnCH1e Ie5B68Ow8XbWi2VsDYWGJMCS6vf9bR1kWUZ2MlugJd8k1MYir3aLTafGizmhyol0QTSSrz2Rl1Pl 9zvJwEdxLX92/LckMP4ruCu+9cRzABOd22N2ul0BRyp+pzgp8dxlX9+1O8Hf9UU7GTozjqVFeErB dwNKeu3srth0Is+Wz2FkPF+p7w0jvTO+ufGLUAU4Ib9NNclhbycI9gwNd1OfZd3YyBT3CzZ2CUQt 348XExgXt0662jCPnNVPiMyOcR3Y/RiT6A6O3T7H3YHuPNgL7AEt0dU3ARyWbcZpscrGcE1ocm2P seBYD8cgXAhOU47p2KUmdUonevDAakf1RYZUWdr/RnJE//cDLkeI9rVItWbeqcKtRSKLnRZAjXeO x1XeEH/yzk7A8egcN6gQ4os+Bwa5pt3EnnXQ4awJEpuxvdxzlW2UEKCoYQVXavRW1kmpw9iqBcZB QxNmTKPQGZ27en1lMpWQcDHMEK9U936XHIxpXUZtTnNdZd3XYK3M1nfwA0UUUIg8SV81MOBUkkwC MiPpWocUJda5LD1MaVBcqeF9w+QV4HzdDERCEGk5Popj2PEgmZm9lww67ViPFOdhQ4QucvZMNtH+ 5nE93VNLJpZvPzSvlXiIFiVjwl4x3oVwpdbNcXnFYkbTe/1ui3LDnGrZbZAPvMHOyhsxBBpip9sc /62Il70l/dpbr3oEfQ8D/CZIXHsP9nq4r1P2Xn1Tvam1bQz3fng/bpqObbUW/lCZznED9LwGs68P rI8nhy9+yy1do44j+CXe2eXTc4Fly2fXB8VmsCmr59t5wVtMwOFBvCoMST0dGAsb8Qmi4wbxdLtq otFzppWEaWrum6uAl7mwFwLGkOm19mPmSEjt+o4AfjUnbYB5mAyX9VV5eTVDcLdF5vR9cLLKog12 KcCFx3N2Qh7y4/su5IMO0/ttxGPxI3ErZTuH7TxdALv3VKQfgJZLrE6to2E8s1omrHEt5gBs0Scl OIcUaTxDI1fsmIetMUKcNbfWxTGUjOkO7v8jMGn+hJUDO/wGQ2qW7mK4C6L+IY5y4+AoJ6nxLPyL 0eo1vJoeDnqYVmtQ3FjylgR3etdrHb1ThOfPeMH4wxz9IPvPfjguBaNYaysFluGbRaD3CetuzU9I bPg2J49hNTF7uP+W5tKIDb4rNxSA1qVikeeViykBEdT2xb0zvEk1wXblMm1QaG1YhE3c7INzvV2e J+wFZnSacNF0YCCHHG6ogIfriZePdhp1Bj4SQv9MVPI7itFOkg69j9wq8EJm+O78Rz/+qK9q1XQf beiOm8J8KVRNJHOQvu+JX+mbuQXHkaa53AaUi0S+UTITH9fdUbFTsgmT8UXsEjmyc6V26ShAxzFa HvuRb1LomB2sGABGxaKOVf69asmmpRVpXsHflJi1Wtc53xv8SzMMt1/4dG9PB+ToQZZf/Rn/t0ED keGOn5b6ROwOK4bgfp04bt50CzKYvfXeFFPzstSbp12fqE1W5KhwKQfLl06GxGps52QGMiA6Vi3b 6xOMzB7OQhQjyY231wZ6JH9zSDVzpRAQiUpEOV7/5UDVLcumzNCHl2Ujvm9MZvzNZRa9F7jCqyuZ naLAnD/sHXKNKp4+sN8oZNSSdBr8saw4m0cHrtFoGA/6v5U70+s7qH63/i4e2w0kPil0mrAOtnAr wevPZXhnMTRUFVL3SpBpuM4cDx2N6HlJ4kKC4DM1tJGetSG+jgqF+gplduVPL/G+7mD3MGCMYjhi WGQEOFhmHg/aa0QSewHSPPbzgnqiwMwhcy3t6DdjVs1mtOESOXim6dUUxBjQCx8DuF28/Wk7/fCB Plwqnaf9wUbaesOh2/KjjImvDrTaWfEy40efIDKVo7w8qK2mM+5ji2gVlyEXASldU+IDvy/b9xX5 nEn0WUIm19jdllRavWvH7iRC4jHUYMD4PwETSLFgouGoqA/wzbzXfi9v2X8RQqd32FlBbjkF1cHg ckUkNCpwzgNjnEIxmL7g0RfrwwfFpwWvuZtq3hDiR+0FwEpwoOZ403pUyJ6SQ+AkEoYWVAXyqVCX S0IOr65IWLRYOR0g/6xpNa9Wmj20KlMuReajnLalecEYOgtZdobEuBWhqbgpUXbO8jnStQ+G735m MHm8mntWbh2jJfN0LNrmeslOR43p4YRDSIX2z8qis2SYFn0Ej4WZ1cjZV+4YB0Q2fKqJ4CADhlRd WDkCTlYD+upwqfQkfOaMzEZejYvqIOn/Qmk1J49CF10odMAtnWHC1qdaRb3l5re3x7cvx3ILhszQ NFeZv25cPVnQyIaNmLYShUemUEfsyfEqTYZB2smcYZmzXs9Bi20ujPsmVW2jNNne5FbsJWGEm0Ia NSIxWs9G/2ydQKbF6FHeMSr0sMrYi8w/LAvsLWlELLfoM/mO6VNWLBC2QyaiF1WEVFn2v2HYycj7 RY4pCwIedoIFBflhk/dLYCiH56XuGIxqJPyYS+zBO3974MKuoskW0XvFpNGy6oEgMUz7cWend4IU VjHOd/hEaZRoDSR/Oj1lmlxABsIqdWisKIYleqicvE0PmT2Jo2gdm9kVV44Gw6Z2wXe6XUfrjyEg SiB/I20hA/Es+uxUiaTDQO+Zc1ZqOd/ueoHESWMyFMICaeaK1l/SD9/JmvCDpCQjdLLYw4jVrcOm x82XSyfKdMIlApb6Rk0XdTzoVKiNkaaqs9WFTBYmntOjbqzZjKjtsAyOryTohZQW2tKFDS38Gi7p yuMxgVKdfNZZ1Q7PU2RjazFSyK3OFOe275+0+YHFi5zhVwVdzJgktxulyBrWsnmFiB+30A0RHyQS LUt4P6faUkXg0kJT2f7DPqFb9ay2wBBTG/HUZor3ZEBxPngcG+OZoK8Q8dMcGBPYDIFcZPFLmzYI kUucMuOkU3Ult4YJ8TXgvhqskpxcRwZvmC9jpLgZdS+yWwTHZr2hRLr65IPNmu8eosbGV1rZ2VhX 6lHidoVv1pRyzeTbCbNYwVihIuOSMCNE0nauuDoRfhihyj8yfv2Av59/H/4hKd96d+XEzwDHUO5K XW0DKvTT4eVvvvoINKklkw3BkOMMLlLAwAKj3HFGaoBNUrSuHzbu2G+N9Dx3Vr/+BSjcTB493IGv 6GY4PMG4KLgh0/haQXZvghE+485BdqN2u590k/y4tyfr8UolMOdwPPDYZ6ceT9c19oDioRIBRLRS FqPnwliATX0RdBQaKLEp0azVExQXltkJea/Vd6nF+eWX8kpfpmaizkgiw/znlyUGGvXE0B2oRAGk Qs2yeEbQACLaTG3oIhN4IdFlTdkthFlBhk02R2yb8Bn3vkUOxqpP1WbEYPHHWns5N1Nbu6ZyyvKv Ft8lMv/0mBYZpvqR6HWU5vqp/MP0JAdB/5H+pXm2zDVIshHVhEz5PrgRzLABvwXI+TB2CAc6K8Dr 3M+dXhCLtoLXJ7FJQV25BKllp3rpW5OFlJMvXKSMhoOxXqOf8LgPP5Q4wP+ZlMeMgX7us3dV3QGO D2bF/cAh84nF2xWjfFP+NpmfqDqA5VzYMsWz480fJKHQLKWmQsF/nXze4KMaeX87FM5I9C/Usks7 C4qZ9xhUUslBcqYentUf96s4Y7YMB+MjR2x253hPcnxAqzmFAHqCAgAiURbv6EjYCLDpOC3Q4ZQI 4DvtoSCd2TLpVRIxfZyp1U4JVxo/c2gg0gb82FTpC6GZbhG3yW1yQ0NRsWM2mzhOOFDbYDwcBHI6 EVMXgVE6SStQRGMLY979GPGc61Msv8HViIB28+5x/YSWnD7l2AHLkOyToXucy2XgKxw06nPOzxA8 0FZp1UQ9IpR++LMIEAvq+Zpk0ghlzAG2B1jAMpuMvZXsA7OvwK8VgpXjH+JRdebkFY+hNOe2b4KO ahzupqF17Qink9fh/0yYegVy8YZmxTCBjY1bH3tgvHVqODlbgOcpOJUz/lh6vcZGnHWDQhIEkvuI KVGLBB/35FN7i6l+U5gmRPPLttpRhI/ySFt8HI/reqBWa1oO+IV/cSoOtNY0B+YZ1OX3S8Jj53fh tqZ4w7KcV11LX8F89Oy9Cn91L7FZlO12LHOeZ8tMUQyft2eGJOfJWFYDsTVTtB+oUcLeiVxYIywv 27cwhCO3vdfvjMOkJaZMj5JmBOz5eSX7nDuiofDn/m1pgPCMqg6I9E+ZlLDZ4QEd4nIp6+q1oNYj NZ4RZqNuvY6VcxFiivRI0pqWg0KvGPgO0GEEQxrTznYIP+1lr5fBWEqQ1g7izszGo7uSOHLtNuOj H/3OaBTMq/yvaQ+iXofTa308XtwQyH5HtcG5qjfGS84ESqcYPYMLNB07YzMu/TE5/7Bcizm5OxnN U2X4Y3Z7RMqN2ZwgW0FpoalxIvgVlycrCc6WqzpNhb8SXqyd/iL4er6uCX408lwm+A/iexql5Soc UAjE89woZHtrfnbCVxUZAoEldE8aiit7WDAa6TCB+XXFCQ/Vt3ODUiu16oP9r+HmmqL/JKBHgPIT kV17/P41HubDXWxt3LcX0p4W712nu7m3hFsTri4Aul6S/YgbMhJ6Er/QymVHXobk+GUSAL3bmuHF SC7FYKwQqjSRssBqpvtewdHcT02oOlCSAn5V1LWqGQS9WE/kXSXrtjKWh1yfukKfyIE4phVySkvt LWHYXSNkG8C6RfadiqsABkhM56Wom8pVB3DLq3cX0Uwd0ZLRjH8b2LyEckg57raQV8fI2CM6fhDp DbPX+o8RxyVFtiNl6lM+gPcZmmng/FCEruGaN8A1BqpXrhK2JLl+KieWl0yAmajFLkg2L4fb9ZSk i5W/450idn+JsfDT8y1+AHhjw6jk1BmS8XavrolK0O6qwwHrIXj6BZFiNo5OroywUKlmX9KyUGzj xSatJw7+4mYp8UxONcSiKWPPIXJsyTLsKvDVsHOsutm0mDC/61TpiJdks22no27H6BE7oBJ+r0Qy ce8nCMcQzSOtK6Cg99ikP1tso2fu96dDFB/wW/NjWZC5ZNO4Riyst/TzoUlrp+PWTUx+AwDrv/Bn Zx083W5a9K0Cv+UKIy5KRgfjc9YRq4/1am0rHPBUb7d8OlDhA6luV57e5eEaTgWAMNjYmySz53eH 3ADV2+reUHBSRZhZ5FjyxXbzy3RiihGAMmyxVqRNB/GgHCEF3JZoz9YAiSA1sQA+OlOEaC9zxLjR c9el/mBq7u1id81mVMNLy97mqV70ASqjrRx7KNZNUfzwETBrCEInCeHjuptkzvH3zF5e9QI/gb1Y c9muwitjkca4K8jhQNFqbJRTrjoqwGDvN2UTUUmp8cmPc+I/i2Y6GdImDaFLggApyet3o19lFJX6 Q7Waq8sp0pavRYqx4dF4KGBsnJ3QRSwTOArguotovvJcvJp9xe8SZiP8W/vZ25xaD+MwuYpomAOZ IiRNqLK6f7JZtk0QM71YHaKjOg5ZvKVKIT/IlU2Wl8fCQGAabJl0lG2ohhprKSWJUZ2yaIfMNO1r 1czxzGtnxMfqs+Bwg0Hdxm0nQ4Ky5kofyqDw0oBlApUiTZe2I2BW+b8KAnr1jm3q5CcbpUtkfPin 2PgWhzxjIf3qq9IWV+y22ck8ixItF4ebdez6p/KbBa1XEMgAzqInHN391gOJ4LrRdgllhT7kaw2P u5LdYDbcOW1OiDub63MomYH14ajBrWT6Vv7FBpF6pXq29oIkTdXvH8kt51pz0fuzfn8njHrVXelj vbqMI0i+rY0gNs9xyzOwpVKx+dCos38vbFnIlazH5bA0kXZ7zqJ0tdqlv5Ie99llADalOYqfJPuv EA7SxD2ieUeUmlMdQJ0lx9PTGfMsBEfHuVt54p4W4hbYysY4nW9uAnD1hUWeczRPxfba8C3T5ldi b9jqyffnNirV+rmfEwNUnz7z5tnftW/p1dw4VKnCG3CEra8S9IhtbT7448Tr7lwky33DcuUWUFJF CP4qAwIJC8scA7EdGsdn2KIuC65M4o1YHt6g4zAmkLMhbEe7qj5gV/oXgN7UN7OMoHpSOftMYdZq a1iPME8Y/Tb9C+s5/u+7JvkLxts7ycAhYlS3ZkY3wVqt4u7HzbzGa+ZqjlEvuatWkaelZW/G1jUU lKBtmsksT5l8CU3QX5AkS2kv3fLSUKw2pmhcoc3kYPWyulwU4O9rgEDeAPXKTSI+MxsG2IZJoqxQ 47BZ6ILjB54uaXkZmT8OF7dTJCFXA47GqFPM5py9tiULmdpdt0/uIgjLvfKwT2aDjtMI0coE7OXo mLrOthdaujyuE+WS6MLx3EzGltwPMtCLCesvvkUFo6nIXGZLoK6gqpWVjT/SxSBft3fRVcu89Y9y 11f9nTD5OPQKakOzQqbHIWNaKZhQVhfDYo3u1kaFivP1UE0fXUibdmN9rPVASBsFI/i/X7f1XS2o aMlEwZVg9hFVv5gbqyihTq5IadzK0e6cO8UcO3gYlsi1xgb232uGfJXOuBo7L2C7ypjdiye0X9yC ozE0j+5pWLEwDybs3dyf8fKYOWEBcu1NEIoZhI8TNPxKhJRk9QM33IBzPIIlGCx8jNaHItua19W+ ivsyRi/EBMXosnpx9EvcNe/PDxx4i/3KpB2iEaVHa5hl+oW1YMEbUdbUabjeURp3YnUEy40KZJSY JhLruaEh7AdCBOHQGO/gDSQccB2LBerFyHFj8F0gWNq6Uh7YAwQpucH0V9O+doy3f9hHZTdL/lA8 s9sT+V1L/NJxv+BnIF863Jyvk7BkzG/N6QRDRdnfVwN1Nzwq7wXRiqW+0rHmHf5cy00aQMucVUVs KuZxzYXWywGrvRABgm+jokSVkiro5tw79MnSZKXnKrk2J5ZIap9eQCypWk8fU8Lf3NzoSzANF+da cZM2Uh3gXvy9gE1vVxi/+3U5IZtD7ziT4PQeHxUioDjI3pwgurZzRWOIwQtpr/5KpdS7TZHWGIga 7riOR3gopN3jNaOe8GPjXJpCLubHJGI+uv/jcBMlOc6ZnoglVhfHwsug+FhZTRXMaCNY215f/riI lH6eDXmhgw/Ofl+C8SUSJE5OAMVGvJfYZVAcEbuHksQSffQkRic+7ULJLSImO7WlVVt7Q/FK/KXN /xiIsiz2ptOpYW9jnPkWOB0h0Lf4imlJIjfeYhqCc9lJ+AN1j2p1DX2to7VxPLrta5o7sgNu3uul bFhPjT5F9HJ/7QfQAoS2dhMS7GmZAZYkhzj+xzoF41n+p0dbMnNcjVceU2QuOwgsaxSeh4EkxjO7 +nYkEskL7BvK2mdx8aTkyF/3c5QCAAc8N+9eS6FWk3gar7u6CGOCSH+809JJ8T1lChInZ35o/wbo WxsjPKUaZlt+UokU2Ch90FE7zTjmzJehX5P0Isspk+Ig83CQ4VVlxlJYUFGMOt4QItub/h7BuGeq 8EmXTrvmdj9ujWFwmGb4JvaWZz16iIwDAhZTjKhw7k2GD4+dJxp67unleoULXaMUcTFLJlHSdn0q Sbs01thgSJEO/1+a4zDvsft5vDTcBLnWzJqojQ2Btw97okagWSdVxgj64f2FAoJgwcu1As0T7lQ7 gbVcOXhc1hqMnjYqzXryi+One2cpCt1S3vFdgMATLYLLQ01h66dB6vbuWtTScfHDupto7ye8KUyZ BrI8iZBsBTPviS7+jTDufVfrQJjR3PhlaqGUGfulSZwGY385bDcubHuzK6HjK92y+x7gpVuiqlet IR6radRwU/xA3BIA7lkDYkNeBZpIMjmSBlVeNQA1iDSqexmPSsrgcOA68ttNpsJvTxxULlFbxwZB 5lTjsCVgKsSzlVsXuN5lSeUwvI1Knozjbynuyyj/mYx20lwvkc1OaQIhxg6oq4hWfk9E3WKxZ3Dp L5croTA7jZA8lwpojhTMX8ywpk48O1Nkzf0buyuqTYgrTPubfNXh8yvelNj59BRtJkG26X91WOII zbe5GysLa8ot5kiqJGY+mYAXwjQNUzzucffwN5+oQN/fV8otTi8F1jbrSKcUSNzA+WollIuqkeuj nnVQDLOftenHRxdHIO0euU1WtvlUYU5MRP3w4hZI964fiy9ZoA3iBmqCOmLHzwuPwx5wv+xsNguq EtycjduXq/85nHs4wxPRq43oqu7lTgb2i8qsWjN2wUHrqmcU4+s/a2cRAPZ9O990uhXaY9LZXqSR I3WZiQV7OJS12e2erIC6CEnfkc/4v1YG4lxHl6F8ld7FOfDsilAFUTf1xs79NYp51xuUI64aMYCp zWYvYVnMTodIY42ofpyp+I7qdcGItShel4fLv1ekRy8RxB9gl1iJFDjf3CS5H5obahUbNSPOqc9e Clk8uAsv1bG3ZYyWYMYIs3tRLPQXFwHVuqbDTZE+DVLg6bCQEKTVuHyIZRIeN6cTPGsZUMAexwln JtpBimEhO5CGzdjHfp/8pbiT301g3nt8qcFnCVr3OLQH9B0KvTl9wvfY0DYDwRrJiC3pIlwY0qBg OBtuXVGCCfwMhPmvq+7O+vTaROTXR3QtiHg7tdTK7Use4Fz4n7kq465ZKHv1DpG+Bt0/mIV4YKyJ ev/9I3CgvnBF/4YACoropT3LmVgXKJ+Zo14hs2dC3lUOL4Gmj8Fk9A47s2/uFyctuA1v3yajWLw1 nvoCfPS8Vnm7EKII1Eb0ia/PR4zcN9A6jWKzwemYIhBlDYTzxGNscc+8KZ+J4sji5Y/bLjsbksSd E6Siz7tlI9DwVaVjMhztMsP1MnxizWmysj28Jz6Lv3blfc4/6MQZAHvQegFIVNXU372NfMHCeQVM o5kC4t7BP1KbxRCHr+evmsqv6PMFTXaybOC51wbuGMjyrtUGbmF56k+VecpuG8U2NtvzRU0siAVK 2h0RkIENpsi2qr0TYrzmmZOawd00MehHequdIHM82OlO7J+o8p592c30wlkWNlc6ck41vjvxwy1f 5LigDGgSUjhIR0ehTAEajxPt2c9PV7eBBF4acVNzw5fzd4+vfO6s37tA3BTQTfMY3RJfH1dDxhnf a6zmVYod3IVgQkyx9LBbwijNCjMLkBSfKEts6SD1LT4Jc0cB5jkLtYHOQ/c99If/vzTnfCBhBVcX Oxv9w+khAYIFu0r/9yI3AxEyITfeQxpwQaTfmpBYFl+LjgodJimddsFvTDCPgtnr7ouuraBm6Ri6 MwBHFeG77KenvR1nxj0TUtZKUasTyU6dnThceHaYUBKKnp6ngVO0B6H+pH8BZ7DMWtlcaOkjszhh EBzczCg1ZhleyKQwUgylR3k+WwOggyPy8lweio4Qo2tmrVjAKqr36vDdySJV2i9d0vLB+OMkex/k xFl4tN7iFd03BoYOfUKYe4BNraY78Evwg+g4UUQb+skA0y2kXt5AC39gkAI5NlLMzAh2b8b+0kvY NSlaV/Md9RoGD+rMrIcqcIddQLbju0uEbN4Dp21ltj+rrFDkzLBKvxfKnHlktTAKqHtFOSCL324P LbXdsD5E3g6SsH5b7T982IK2q4xztU1E44EOJEhiQd8Si5koGY/EVF9CBwgOt2IN0h8SoODih1lv R2sn2905QF1+QgVd7mLsb9HIAze4EbBaa3pk4k+UehIDfVZHCNrhlAfdLfsSkiXDDbcturwUjOx8 N4R/I2CUlNsAVmmvka1jBBz15cGpvamvwNynvqHIvVIjlKOl1Q+2Za+If3z98QhCBXdIRUDapbe5 J3StCpOr+EV8CpJEYeKSewVaKOlfwE07Ph4Q/K1GWTxAG0mrwWnN24kw1ghRM/LOPtqbpHUiNj4X ZnqLih/37dioAtysMuXnVOE2DuWJp/vT7duW73iZAHeE2Xno/ptUpt1knMeNCL0bvUXf+dIuVoZK eBZP/G3iseKuhuti5ZibcLejvCtJLdKkdSqgYpI/Fyo4EPtv4IETNLC4FjhbfZPzjSGymqxTamsl /oeOYh3aikBQQ6Fc5JaqmVec3b2ClCE5YbZveE1IrOrdrNyO778yDns1fbEeBGZZMBLR4p7Zurtg TVUExm41PCNvDlZ8BEsfB/ZD/m/xy5ojNvb+VrY66enNpZ56PEF9NkbixWQzE+qxf+CjBkRbSPQw LtiDCvyp8IIXvEjgf6TwZdEABVkzCVL36h+npLYxDWTcdbvg00hnYv6N0X2yoojmm4DjdMiQqn9O Y34tXU/4FIMgsnSSLs42WpRI758Qhe8oyRYeZA9oIizyU7ZnxYTZwUevMpoDtUqV08WlWbefdACT W5B2o9Zm8aYq3oWMXOij1EtpwLPW8c9bCv74MMa1ahpBG1wnOge5GzHq+DWTFr4ONVXrSKSeHcaw gjxYhkmAKpSBHIHf7ngx4/Z0/VRhBcuvIIkhvQc4BzdQjcJVlCfdLswoEoDnh/4mpwa9/UNkBM54 0Pl2ep3XUe0Sz/n6v38BigemScpks/GeqbSnZsqzh3UOYLnTPYXiKdhH9K1dgTzfbXvA622qqPjc Sm7Oh8iG50hY1YceI6gOsJESUcr3PBSO0UvHQEGuF6dWhGAj9wX2xVLfjiSBy1WxiW9DpuNu6O8d tdb66LSN7yq7p2VrNGPkn7EFAiWPdQqfDcpMIReRPaDQxC+QKH5tqcgdaZ5zgoUBFirfgWQwc4YA j1v1BJ1CrpNH4p5+oHeT2IIHjBph7mwKviN1B8O0FjTTir8WQ/LfBkg/4ao2AgrP3sjn9nmW4ebF NcUbX6nZhB4i28OVg69brEmlEusJ3y2cNkpMbSw6CO6MaVhz6ADimKNtxrvoWe8+whg3mmtuKnJw u6ylsEW3TKcpykipzIRAvu0ggjhFCbXrODi74WtD/2zy/Dr+AoLWGb+kpMTK53c3PFGO0d2AF++y SfvOu4k5ckwd08V9Avj4xJ59ni3wsgqXM6tRVgPM9WYVURMxTH41C74xCIImEdvwtAbxOLOUpl86 0dBJ9w9Bl8oTCC7x4sS8zz5zPVE1iw3wBkdp2Zl8sWnWuNQW+Y3sPNWK8d8j60c5JRo4MbhSLdUd irSpU8lOwW6rBetdmjnGMCvwINmWFIWlOy3SaCYzJCLpb8LwLcN9Iy0EVHWtfSj2cQOLm98kt7n2 WmBAnUR01VPxoJ09o5L47FSsvzGZ85UuK13QnIl2Hg2JgT/RN77TeEJi3pS9k3ITLFr6kTys2QZO 2i5euI7Ustg7pbvoDmhwB/ORCB33xp1jUU78MM/Pb0vLzq7GRIWyAEgbMjQptkJKFuqvaB6VRPcJ 48m8XMAOgM5PltZGUQdPia/G/JTckCp93dHTheYxN0A2h2swIrvdehPPPKHtrfqbI0dNzG1wj8Li ZVWPev66yuRwOpnHCy2z06rY+bjRQx0CMlaDip/7kbzV9fHTd8pv8cc3YmKh3SlWHIwezZ4goQ7I 3Gar3J5cg3B3wLCaNvo7bE4KiCalleKfcaJXNKe6dxl8j/APuIvA6qoEWEcRtVJYoKPioyhJUulS cZt39OrBH0+32Ip7Tdi5x251J2Z8v0ajCg8Ga+FgUrxzejRxBplKKvVEXcJ3rFLpt0rqd2Oo4LMf kVEkScLzr3pTvJ4B6+7LgIh5AwTg871VwS1WmGuE62h0PM8wuxMQG3S0XU4Z8IBN77FOKe3DTVCY tTN/vKeSFBerEIf0urLVfqU81rFOs6lcUtFmAYKgOmGN1jY1e/+F2EcAqRNV8KfVBEue8Z+/81Hs 2f+AfrgOk7jcycBIONfpnT5fbjTfM50p6i5mWIOK3iCCouguichUwk/11BGBwYOLbUCr8Dcwobxs INQv5/WgqJYYcfpia826Jbvr7heclF173HRYCRQZi1EodIkm9faw5paas+8Z3s3GZzWMjtRagM9E wEsOq0F12Z/1UhjbmI6xUYXNnh6tSbFz55+PEYQrsohO9iYBcuQgfYjbkCf3PMNevPRpKvVsmZ3e b7gRmDhLsXjigyoVZzbBCVsIonwzhFjRDrlb9fI5bMQt3jYi2dcHSdqcFtrYvM/1hfRy78Jhm/m1 gOqJmbAhY5nbm4LFHacsJdDYioqqncZ7uuPDpkBY55NiOiEQ/LuzSndmj0Uq+jk4CojHN1yUS/1l heD6jn4yXhzI3q1+5RmJOmiHfJn2+TDddU8VBrpsShxMVoa+v915Y1jo1K3gOU3qSG2DO6/lB1aa y7wfW1q9nJBd5OJInDtdlSBTxLbG5NyKuWDyRFEQq78sO1R/+hnxlJqZzA3mQ5GI8U0Ptor91yun NB+wnS+/4+bWZE5v+EmyJr9i4oGVKe3ikhFGbF3KsF5HtzUqAt+huqK7WVNivGQe2V6Qn0c7j/Rv MKtaRO05nHKfgCfLLqRC6zPRrpzjD/RaxbSdbnkXAhKAJHVwsLs86m0vX4dIMigwVwk8G0tjWU+o GAIomsZQeMSmc5oyJeUIgfrOzUNNNPxp5wTLIaVMczMCH7dEzsQuml31eWTHZzuqPUFsMDlfsd9i a48FioJSVGFZxcRy8DZU2x/jJxqowhcV7sECVBxPOD/bi0mxWHzZZdGXcRUyy2yOg9SsaOxL9Lpo 6bIc7buHYPISgGEGITVqesqQnkSTlGCDJDfC6uDJzMM8MbeUNJuM+c8EHa8u/FGc53iUHur2qkEe cYymG+0UOpeBey0QwP6z/Hbl2383aN8+ycG2/qWmdGs0fE0qp/uIY8n50FOEPl1rDzeQXrKO36MB rlcfHuNNKl2AM0M1TQPJYeAKtjYHzRATSiJi5uTSrpWbltwHpwKSDoo1XN1sAwWP0jFIWde/h8bq ibAwK00jksfwlcpSu2iBT0xzfLBSl0kDoa9A8oPd8T3w3SG2yUsyUlZyHxOfRjDw5LeQ9dv3KtX9 mzmkW+jbkXikwy42kMLb13/btOu65vc2Bx7vPO+OLg5TPtFcvL/fq7zI3bfDbhXWxGtVMq1pnpPp E7wjCfpOEhsf76imvuDYbL9nJnE+fuvmqu+mnfU2yqHvSaGd0WbTNYnIy67Qe10Ca5UthVHDSXYw IIWUvGT0MBF4+b8RY89vrjGKfWIOK0TiaDP32MAM/K0mYSd3W4lMiWcenEROCCeWarJmTx5V46oX GVu6ZXitEG8oT9qtj9TPgTApMklndbs1F3twyJ4pHfH9yJbiD/4NrI+d97PImdhD2kUfjpoaMvAL v4ruwvvUZdbSXJH9rIjmnlO48XUq3CcR41otI0yNreAqy13PMNWroBUVcWGNL8Oa1QW0z4jVQRDo Kz1DcOsWrS7Dux6u7FCcMcj1Zk8gai9il5cYhOTOYWsKOw6/+JiMbK1ngvF4zteEvcNj3vMTSLyz MM80pwddMxRYHMLWpmnXgv+IQVn67bzMPpKhId00l4/Z+7k+mlcG68akqvhbQpXYOrd4bjjswOwF QKBNHChTCYJXTlGmwuWX+2MY0b5OdSCRmIFKOK3NpwIMvpIuD1ABiw4yriRyMjjdbMpl4AURCYmP tXoxO54dqcPyin+y5HadtWkXRSQkpUC95k5salWzy0VJIePM3tkstbF+K5zYXwk2aofcX9rk8cQX EyfNbYzUlVwbRvSRuuDf92S5ygPSXwFKhgUX5GGUIIf/yX8+CZfR11K2ADzEwoG1sl21O2gi9eIV 9ct/vegpvr9RL+jSHFjHqHm7WcWDALs4z/FGZz2BGc6Q1zFUQGnaMPu8fGolndGIBld2pKCqXgi2 OVAucwEh+uRS8zHANNurU43l9XVM4hXCUtYEeSYSUC+mDwTajLyP1nUwsm8grJkV8LOhmItWqkYe BOKSG+L4rO3J5yuyDG13 `protect end_protected
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_proc_sys_reset_1_0/blk_mem_gen_v8_1/blk_mem_min_area_pkg.vhd
27
20310
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block XHCjR0nUvMBgM1clzO9mSr8YEx9qhDtoXdaphp+J1JlsC9lSFtsV1/eTy/jaNsyBimTHmHB4CLra VqfCr1I3uA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block ebEJK3bmI2t+WsBGbhWIt2XB+F+QW56z7Xo7/vGiNjxPbaq48cjkY2KIIwhppzuYFDUdRDxp9Iva RlWujqNPGUrxJ1F5Pa0zN6dEMkhKPrWWxZpAFto5e5cB6DM88tJus2O1hLy9PRfKWKn8u2fBqIhs zvXwIEX3Rz7kU3GI+Wg= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block oZLpbXnbPC0EfiuqzOyPqmT4FdlvB20VtdO3P1fZux3uAWynrmGeEUk81RKG8dIjeHdSPnugG+6c jKeGIJZZbH6MRScqnz2QBuupQkeYWE+dCLOq6/P5LV7F5481QZZ3bx28u0vHGlRYhLiMW8KnJ8Xs JLZ2IP5YULE4cFTCCV3WAM+IdulnwSP3p8oyM0uQffeAJkOTKR9dl0lslKFBplzuTZ7EnXSmYYXA x4iYEfwbmUZvdla6dJXCCjtKnKqL5vI4L1nHOaep2f0bW/K78py/TJVV+vsvE7+Fi81aNwDFBE3d V+IzN5VNKD8wM+OpLL9AD+xsAbJ5JCLz2sqFWg== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block YaruXmtmo/2yQOaZLp6UQc/TTak5F2uchK3/c4SsORqNnQQMwFmjpORZM2++MrgqzkHH5KHH+0SE PP+ha/JFKIuufLvaAIVDYgMKSDFaxIIvD/8aIAhw7TgTE10+TXTruuPFiw9U65VaBnD/nSEGkP+6 2M+aqBTG/2UNkEELi0I= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block SWJkuOmi8gVneMbAS0rfK4gI+24fr/0jQv+b5sUWbuvKyCco423EdTDwW7ROH+M/MaGP2QTzNz1B sh1p0mypy290KKaGmvaZfJU7NOmSNGAsA7Eq3zQGPHDW45/4GXnri5xLLNnybO7r0Ndv34V/fxH0 f64f4NRroCys3EmRDJeCh0D+WDA98E/EHP+OtfmYOGeO+CDzxS2m3FIcGKs7pkeR5dgt+S6srqxz 96yb5/UwV2cpnC9ULYZHZVQa9WYc/XM+Dk71YUYpaEFd7osc9zT0azChQq+XAkJsqukhufRg3dQK YVPZotO8blEly5GYlPFGnRW13eEh9DRYsb0pSQ== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 13296) `protect data_block HdwiFh+7q6VKXXo4jZsgnff6h0l8JDlWPWOjLvS0NqmI1inJjFBOopuHm7m3G5HsyXcM8JPIJBr0 SgFXDHqNzksRoC0CRa3Sm/Q5BWeNC62VdSU1iJwTNaxY9iak7bkj1XRKtIVjgK2T9+SoXr+pt9ar qGhhoh6rtfjLwyTh7AWiiGJ5q4aseLEZoGLTEQeeAe/+SlmuzPILVBYLSsEzOxkijaAvw6C6oSBL kEkdgqQmwa1zT9X+y5gxnOSVdOuu+zhiw9EWH5riPTNqUI18bL7rVceyRzW6QNoWU42DtI4o+Qsb ylyjSDCjEfFtuxPlq7red0bhWOrOl8F/MMHm1k4Adlhnxr4cGmBCxkdHK9+51aPgx1xXJ5guqGpc b0cLp/6WQjKoydkN0ixJgKtbHnFqDFBGYoUMNMQSqTW9Up6YiI+jS/Hy85UoxnbvfK5JyLoYQT04 eLNKXSiSWuWAF5t/cqFOEZ0m2TqFeW08ePLk2dwZGG3ARbamgjuR+84UDgwC+qiGfgQ3lbC5/lao Me1N4HQRqqM0QQIBk4X5a1l7Tk/g3DdohSZeyEePDlLtyip8gWQwEUnWxsgjvDPYZ+NrZJ+dHqR7 V3brN1zQweldETecOP3Sz6o1UN2KzrmE06fmohn6UfVOBu4+0sq2P+BTJnr9NP4F44BwrMXxDRmR XjlATx3Fhd08L+8tIF0N+gWGIf5+dlPQrtNMmmHHCM19awr+BqholxmnJvIo9eStJTzJ/kqbywgT qzq1m3VsnVBuHRLOJwDktXrJYOyC9y+asvtff/GHo4EVtVgOlu4Z4atKs7fibGjkGbZF5f2nQCg/ aJhMuxMvlA5gRVvWMvvQjRr5bN/uh0NM71e8/qy+1S+fxwdlVn4QdIeQHTtDGOXysFCyF1dzF/VW hH3oko1xLQi3Fne6Kv7UMGWl5u87GlVLkaaqP6nXg2G5OfPiyN0LLHJMKKfY3E8bfas5Y0ZesTvJ gvpBemHYyY59/7qX+MjCz7WuYkomLgQmBkxT6ul3esaViP6Z9VKtrZHU/mQvJ3MAGG1fTXiYYRKb 0CvzegLAvFpE2hwXIgPGxbqSpeGm9KUkHpL4mlNCyPjD0Munw+H2eP85xTk1TzUpXIXsoGS0bChp 5fqoxcUxkFpphZI6Nm4FsDW4FlvSjIe2bkmjTnvTLE+ZjsajxpCZdWI0+vtfwc3nER8zv2PW1LJF jyCTsDnHU2EKrDWzPe7Sh4DcUFZAwB0aIVi1qV7NpfDOxEMn0IERniMVNYjVpE7VPq+F9pco89Ht S1U9x3WHsc32Ttc0ri0ya+X6EJV0zfG2W5XAWzT6sUrwxVpNdqAJSLXBn+FdklBohmo4jjARokLd Ytoxh0weeC/Y5pmiLnOacCL9tUmL8gcd8kY6gUCJzAm2L5UMaLuh/+zqIYcmbrESMk0f806CbaJ5 UHTObVE40fVHUGNAMGVVZOshwP3HS3DFB/x1h9JcTb3dduFLmUtynfjZXuwPtmJEPoZVCoVvqYuk C2fvBUk9Wbi0yNUl0NdqEyVTTw3ob3uMDN7+aF2oNAylpm9JDhJ1Iv03rW+4BULl/A//FdPWWVvY tb0m55ePDOqZFMUfPySc4vN/Tq96TSXnu8m8Xr5NOPGUEpoyLe3t/l1sFbzRCqRyUg3v0SIfN0Nj p55rP/gChUZhZREb1t43wDaO1uZAU0uPKYWHa44CA7WgMJMgAS2NuuVKN66pFg9xK94OcTlWMRV6 uiC+KEbWuT/VCJRb5T5mda2PrH3ioj7gkEv7ub1BaQYwE5QkyCZpkI+D3hbJUHtj+t4bDOfTDHbx 5lnTfzcpLgVmAlfAJA+lmAzxke4krWKnz8PCIaBhGij6hpfe9pPNCAd8pp3Vy2dqVGwMFEOgOU7W CpzB/Y0s0lBRImWJUM3DJquCcpRK5VrTA4ynSZHi/9tXs2By7OP1IshGzIpBMY5l9rUvBajqtGhK ZuE0DY32Rs91DsfkjrqZ4M67q8KHe1MsBzFImSdZ/9hHrGajHb197ZALk5ux7l2rCtZjLvJ5gkuq +K2YE2Z4xmsiCsmgM5VZVnUcvYLhxrryayZ6czPoUhJnSNzzmFVA3W7mJiPjr/v2MzT/TxY/7a3E zyq4g+oG5jMGYH9okY3L7BTjixY7YSaa3ysOG8Ql7sKVg11TmCbLggp2B8q2cAj0W/ozzj7Nc2kQ CGCpCGRAs3QcEE0m6V8BBpUBuak+Jd/Mk4nN0GNsLjgK7IfYlUSLfVaqllit22Kw0XA0CJlxx7Cb TbVTBYOTgO+EmtaK8DHzIZNb5FCI9DywhFdfPB12gFD09rFBLt+ayR9dVp4L/ydh9MnE/LAPtEbJ 02JS7zHY+6NtqxtMWmqpYvJjU3VZBhJakrQedkA4TfpRXCI0NbpOlOdswtq/8ezfT2mThufsCPJu gjetJg3Uii0fd/hsKoTCn3/EXb/+ejFgU8LZIiVIfSDneeWtmLTggQoZyb7i2i/vrDTiwJfCAauk kbn4sYFfFBAZIx7865qsWrd/Nixj6p1M0D4tz8cNC9f4DsklzpMKrV9MQvuW3lwSgqpX7uY4QZxF m/6v3wr9p5RbkvE1qwwok2eSwWDrVyh+mfQPlN7MAkyGtnaSICDIdYI07Uko3rANmck983KpKazI RUfCrptKjZSmPA0XV5/q+vjYcAcQPmlZVEZeeoBLTPRG9pn0T2KyMPFjBCH8aY5ZQ6hLpvrd01Tm G/IW0z5L7YY36cKmdB87+R/igoKvbLLYWb2gJUewqTMQEurE5xKE8v2wfWDbkjxoTXYc5ObYF+R5 C6XGsH0JNt1WzUKgI9Q8s5EMA9NkgIVb+U0I9mY9BpvL2YCv0FtPsxdLeLajLq/eUuAcJ0wKG1vJ aqs41Z4tRNFKcOjMFVn0yxjZfQWun94Pvx1rJEuzTIb3NBVMx8cgCEhkG/pXJ7noZL+xaUWrNZQ2 JtuYT7O7gWRfcmYalnkoeRGII8ouuLf5GOdw28chYv9lzRKFJ+dw8nDHewwXZhGndl4WK9AOUfjo r5i4A8xMOSZONdGNy7im/E6+UuRUXCciFVkvtd2UjOyvjjG42ck8d2R/E9jJBvUXRo0m7ywM+kPE I6syiCV0WwGNKgj8YqW5UcpYCt8vzGmp/kndJW9dTaAb+FshO5KelBFI310STbd71C0gPxaqp+OC yruarcb3HmjadLf0R+snrqhdQAJiI/qIelpRQHNbb7pvGiBgVhLQs5uXdxEpIuts88BQQxHfTlBx sz4h2HkZ+BJH1KkPN4iCbbYhbHm+PTocWomtB7zMqFT2uFJv1t38pygdyvW72wEXc/w00MTGNtMD lipyGlKfUbmihHTl0COEOSocNoYr8x4cmMSIjazYFeseEtNlFdNJ6BS7N4JOhHVgK+LwR9pYaDp3 dtEBGXiMxdgYeDkGDL4srDvcMNoRPUFdV3E+SeC0hplXkjAzH1sbG7rT6BGuhYxxqgPCsLoB/9VP w+W1qM8uZTRZCF07DYKhc53b1vj0PubQJjG/TroRPQcUp4GfLmdvHY84ct5cOIq4r1TdSuLr74rw MPZqz7OJldzkf0YHU8Gu6H6IVCqZzkuhJY551CnukCg+4j37+FAltZCAsz6xjf3tX9UkMjzUeE53 tXjGHZmSuw+6HEfxeN1n11TmVCDMiaS5xAXFNBxzohn0hWUcbfARvtGTCfzCm0g4+6CPqOVLTi9R 23SioriNDruL0435fNfg8Z0FSLOxw4Qt+hLLAO2bDFFDzqxNde+IwpRFg9H50XWeFsbs7O6uVswh Jc1dkSc4hOvbO7KrjleuNntPMyi2ErGBgLJ0PCdruhLQViKVa1GPiM2wbCZ2FzFlEQQvbGyjpEBV kWms8VcEjC2inpeA0Dq8exynF2AZKRBv4Wliv2izisyYtULqgW/czCexrrM69ZzXak+fVkLfFkvI IhQS8SSgD4twtFMj5B5UF18dwLljLlBgzZ/Dov0BKPBM756nVr1NJjyAYKvKFkUe4YyK/PZnCH1e Ie5B68Ow8XbWi2VsDYWGJMCS6vf9bR1kWUZ2MlugJd8k1MYir3aLTafGizmhyol0QTSSrz2Rl1Pl 9zvJwEdxLX92/LckMP4ruCu+9cRzABOd22N2ul0BRyp+pzgp8dxlX9+1O8Hf9UU7GTozjqVFeErB dwNKeu3srth0Is+Wz2FkPF+p7w0jvTO+ufGLUAU4Ib9NNclhbycI9gwNd1OfZd3YyBT3CzZ2CUQt 348XExgXt0662jCPnNVPiMyOcR3Y/RiT6A6O3T7H3YHuPNgL7AEt0dU3ARyWbcZpscrGcE1ocm2P seBYD8cgXAhOU47p2KUmdUonevDAakf1RYZUWdr/RnJE//cDLkeI9rVItWbeqcKtRSKLnRZAjXeO x1XeEH/yzk7A8egcN6gQ4os+Bwa5pt3EnnXQ4awJEpuxvdxzlW2UEKCoYQVXavRW1kmpw9iqBcZB QxNmTKPQGZ27en1lMpWQcDHMEK9U936XHIxpXUZtTnNdZd3XYK3M1nfwA0UUUIg8SV81MOBUkkwC MiPpWocUJda5LD1MaVBcqeF9w+QV4HzdDERCEGk5Popj2PEgmZm9lww67ViPFOdhQ4QucvZMNtH+ 5nE93VNLJpZvPzSvlXiIFiVjwl4x3oVwpdbNcXnFYkbTe/1ui3LDnGrZbZAPvMHOyhsxBBpip9sc /62Il70l/dpbr3oEfQ8D/CZIXHsP9nq4r1P2Xn1Tvam1bQz3fng/bpqObbUW/lCZznED9LwGs68P rI8nhy9+yy1do44j+CXe2eXTc4Fly2fXB8VmsCmr59t5wVtMwOFBvCoMST0dGAsb8Qmi4wbxdLtq otFzppWEaWrum6uAl7mwFwLGkOm19mPmSEjt+o4AfjUnbYB5mAyX9VV5eTVDcLdF5vR9cLLKog12 KcCFx3N2Qh7y4/su5IMO0/ttxGPxI3ErZTuH7TxdALv3VKQfgJZLrE6to2E8s1omrHEt5gBs0Scl OIcUaTxDI1fsmIetMUKcNbfWxTGUjOkO7v8jMGn+hJUDO/wGQ2qW7mK4C6L+IY5y4+AoJ6nxLPyL 0eo1vJoeDnqYVmtQ3FjylgR3etdrHb1ThOfPeMH4wxz9IPvPfjguBaNYaysFluGbRaD3CetuzU9I bPg2J49hNTF7uP+W5tKIDb4rNxSA1qVikeeViykBEdT2xb0zvEk1wXblMm1QaG1YhE3c7INzvV2e J+wFZnSacNF0YCCHHG6ogIfriZePdhp1Bj4SQv9MVPI7itFOkg69j9wq8EJm+O78Rz/+qK9q1XQf beiOm8J8KVRNJHOQvu+JX+mbuQXHkaa53AaUi0S+UTITH9fdUbFTsgmT8UXsEjmyc6V26ShAxzFa HvuRb1LomB2sGABGxaKOVf69asmmpRVpXsHflJi1Wtc53xv8SzMMt1/4dG9PB+ToQZZf/Rn/t0ED keGOn5b6ROwOK4bgfp04bt50CzKYvfXeFFPzstSbp12fqE1W5KhwKQfLl06GxGps52QGMiA6Vi3b 6xOMzB7OQhQjyY231wZ6JH9zSDVzpRAQiUpEOV7/5UDVLcumzNCHl2Ujvm9MZvzNZRa9F7jCqyuZ naLAnD/sHXKNKp4+sN8oZNSSdBr8saw4m0cHrtFoGA/6v5U70+s7qH63/i4e2w0kPil0mrAOtnAr wevPZXhnMTRUFVL3SpBpuM4cDx2N6HlJ4kKC4DM1tJGetSG+jgqF+gplduVPL/G+7mD3MGCMYjhi WGQEOFhmHg/aa0QSewHSPPbzgnqiwMwhcy3t6DdjVs1mtOESOXim6dUUxBjQCx8DuF28/Wk7/fCB Plwqnaf9wUbaesOh2/KjjImvDrTaWfEy40efIDKVo7w8qK2mM+5ji2gVlyEXASldU+IDvy/b9xX5 nEn0WUIm19jdllRavWvH7iRC4jHUYMD4PwETSLFgouGoqA/wzbzXfi9v2X8RQqd32FlBbjkF1cHg ckUkNCpwzgNjnEIxmL7g0RfrwwfFpwWvuZtq3hDiR+0FwEpwoOZ403pUyJ6SQ+AkEoYWVAXyqVCX S0IOr65IWLRYOR0g/6xpNa9Wmj20KlMuReajnLalecEYOgtZdobEuBWhqbgpUXbO8jnStQ+G735m MHm8mntWbh2jJfN0LNrmeslOR43p4YRDSIX2z8qis2SYFn0Ej4WZ1cjZV+4YB0Q2fKqJ4CADhlRd WDkCTlYD+upwqfQkfOaMzEZejYvqIOn/Qmk1J49CF10odMAtnWHC1qdaRb3l5re3x7cvx3ILhszQ NFeZv25cPVnQyIaNmLYShUemUEfsyfEqTYZB2smcYZmzXs9Bi20ujPsmVW2jNNne5FbsJWGEm0Ia NSIxWs9G/2ydQKbF6FHeMSr0sMrYi8w/LAvsLWlELLfoM/mO6VNWLBC2QyaiF1WEVFn2v2HYycj7 RY4pCwIedoIFBflhk/dLYCiH56XuGIxqJPyYS+zBO3974MKuoskW0XvFpNGy6oEgMUz7cWend4IU VjHOd/hEaZRoDSR/Oj1lmlxABsIqdWisKIYleqicvE0PmT2Jo2gdm9kVV44Gw6Z2wXe6XUfrjyEg SiB/I20hA/Es+uxUiaTDQO+Zc1ZqOd/ueoHESWMyFMICaeaK1l/SD9/JmvCDpCQjdLLYw4jVrcOm x82XSyfKdMIlApb6Rk0XdTzoVKiNkaaqs9WFTBYmntOjbqzZjKjtsAyOryTohZQW2tKFDS38Gi7p yuMxgVKdfNZZ1Q7PU2RjazFSyK3OFOe275+0+YHFi5zhVwVdzJgktxulyBrWsnmFiB+30A0RHyQS LUt4P6faUkXg0kJT2f7DPqFb9ay2wBBTG/HUZor3ZEBxPngcG+OZoK8Q8dMcGBPYDIFcZPFLmzYI kUucMuOkU3Ult4YJ8TXgvhqskpxcRwZvmC9jpLgZdS+yWwTHZr2hRLr65IPNmu8eosbGV1rZ2VhX 6lHidoVv1pRyzeTbCbNYwVihIuOSMCNE0nauuDoRfhihyj8yfv2Av59/H/4hKd96d+XEzwDHUO5K XW0DKvTT4eVvvvoINKklkw3BkOMMLlLAwAKj3HFGaoBNUrSuHzbu2G+N9Dx3Vr/+BSjcTB493IGv 6GY4PMG4KLgh0/haQXZvghE+485BdqN2u590k/y4tyfr8UolMOdwPPDYZ6ceT9c19oDioRIBRLRS FqPnwliATX0RdBQaKLEp0azVExQXltkJea/Vd6nF+eWX8kpfpmaizkgiw/znlyUGGvXE0B2oRAGk Qs2yeEbQACLaTG3oIhN4IdFlTdkthFlBhk02R2yb8Bn3vkUOxqpP1WbEYPHHWns5N1Nbu6ZyyvKv Ft8lMv/0mBYZpvqR6HWU5vqp/MP0JAdB/5H+pXm2zDVIshHVhEz5PrgRzLABvwXI+TB2CAc6K8Dr 3M+dXhCLtoLXJ7FJQV25BKllp3rpW5OFlJMvXKSMhoOxXqOf8LgPP5Q4wP+ZlMeMgX7us3dV3QGO D2bF/cAh84nF2xWjfFP+NpmfqDqA5VzYMsWz480fJKHQLKWmQsF/nXze4KMaeX87FM5I9C/Usks7 C4qZ9xhUUslBcqYentUf96s4Y7YMB+MjR2x253hPcnxAqzmFAHqCAgAiURbv6EjYCLDpOC3Q4ZQI 4DvtoSCd2TLpVRIxfZyp1U4JVxo/c2gg0gb82FTpC6GZbhG3yW1yQ0NRsWM2mzhOOFDbYDwcBHI6 EVMXgVE6SStQRGMLY979GPGc61Msv8HViIB28+5x/YSWnD7l2AHLkOyToXucy2XgKxw06nPOzxA8 0FZp1UQ9IpR++LMIEAvq+Zpk0ghlzAG2B1jAMpuMvZXsA7OvwK8VgpXjH+JRdebkFY+hNOe2b4KO ahzupqF17Qink9fh/0yYegVy8YZmxTCBjY1bH3tgvHVqODlbgOcpOJUz/lh6vcZGnHWDQhIEkvuI KVGLBB/35FN7i6l+U5gmRPPLttpRhI/ySFt8HI/reqBWa1oO+IV/cSoOtNY0B+YZ1OX3S8Jj53fh tqZ4w7KcV11LX8F89Oy9Cn91L7FZlO12LHOeZ8tMUQyft2eGJOfJWFYDsTVTtB+oUcLeiVxYIywv 27cwhCO3vdfvjMOkJaZMj5JmBOz5eSX7nDuiofDn/m1pgPCMqg6I9E+ZlLDZ4QEd4nIp6+q1oNYj NZ4RZqNuvY6VcxFiivRI0pqWg0KvGPgO0GEEQxrTznYIP+1lr5fBWEqQ1g7izszGo7uSOHLtNuOj H/3OaBTMq/yvaQ+iXofTa308XtwQyH5HtcG5qjfGS84ESqcYPYMLNB07YzMu/TE5/7Bcizm5OxnN U2X4Y3Z7RMqN2ZwgW0FpoalxIvgVlycrCc6WqzpNhb8SXqyd/iL4er6uCX408lwm+A/iexql5Soc UAjE89woZHtrfnbCVxUZAoEldE8aiit7WDAa6TCB+XXFCQ/Vt3ODUiu16oP9r+HmmqL/JKBHgPIT kV17/P41HubDXWxt3LcX0p4W712nu7m3hFsTri4Aul6S/YgbMhJ6Er/QymVHXobk+GUSAL3bmuHF SC7FYKwQqjSRssBqpvtewdHcT02oOlCSAn5V1LWqGQS9WE/kXSXrtjKWh1yfukKfyIE4phVySkvt LWHYXSNkG8C6RfadiqsABkhM56Wom8pVB3DLq3cX0Uwd0ZLRjH8b2LyEckg57raQV8fI2CM6fhDp DbPX+o8RxyVFtiNl6lM+gPcZmmng/FCEruGaN8A1BqpXrhK2JLl+KieWl0yAmajFLkg2L4fb9ZSk i5W/450idn+JsfDT8y1+AHhjw6jk1BmS8XavrolK0O6qwwHrIXj6BZFiNo5OroywUKlmX9KyUGzj xSatJw7+4mYp8UxONcSiKWPPIXJsyTLsKvDVsHOsutm0mDC/61TpiJdks22no27H6BE7oBJ+r0Qy ce8nCMcQzSOtK6Cg99ikP1tso2fu96dDFB/wW/NjWZC5ZNO4Riyst/TzoUlrp+PWTUx+AwDrv/Bn Zx083W5a9K0Cv+UKIy5KRgfjc9YRq4/1am0rHPBUb7d8OlDhA6luV57e5eEaTgWAMNjYmySz53eH 3ADV2+reUHBSRZhZ5FjyxXbzy3RiihGAMmyxVqRNB/GgHCEF3JZoz9YAiSA1sQA+OlOEaC9zxLjR c9el/mBq7u1id81mVMNLy97mqV70ASqjrRx7KNZNUfzwETBrCEInCeHjuptkzvH3zF5e9QI/gb1Y c9muwitjkca4K8jhQNFqbJRTrjoqwGDvN2UTUUmp8cmPc+I/i2Y6GdImDaFLggApyet3o19lFJX6 Q7Waq8sp0pavRYqx4dF4KGBsnJ3QRSwTOArguotovvJcvJp9xe8SZiP8W/vZ25xaD+MwuYpomAOZ IiRNqLK6f7JZtk0QM71YHaKjOg5ZvKVKIT/IlU2Wl8fCQGAabJl0lG2ohhprKSWJUZ2yaIfMNO1r 1czxzGtnxMfqs+Bwg0Hdxm0nQ4Ky5kofyqDw0oBlApUiTZe2I2BW+b8KAnr1jm3q5CcbpUtkfPin 2PgWhzxjIf3qq9IWV+y22ck8ixItF4ebdez6p/KbBa1XEMgAzqInHN391gOJ4LrRdgllhT7kaw2P u5LdYDbcOW1OiDub63MomYH14ajBrWT6Vv7FBpF6pXq29oIkTdXvH8kt51pz0fuzfn8njHrVXelj vbqMI0i+rY0gNs9xyzOwpVKx+dCos38vbFnIlazH5bA0kXZ7zqJ0tdqlv5Ie99llADalOYqfJPuv EA7SxD2ieUeUmlMdQJ0lx9PTGfMsBEfHuVt54p4W4hbYysY4nW9uAnD1hUWeczRPxfba8C3T5ldi b9jqyffnNirV+rmfEwNUnz7z5tnftW/p1dw4VKnCG3CEra8S9IhtbT7448Tr7lwky33DcuUWUFJF CP4qAwIJC8scA7EdGsdn2KIuC65M4o1YHt6g4zAmkLMhbEe7qj5gV/oXgN7UN7OMoHpSOftMYdZq a1iPME8Y/Tb9C+s5/u+7JvkLxts7ycAhYlS3ZkY3wVqt4u7HzbzGa+ZqjlEvuatWkaelZW/G1jUU lKBtmsksT5l8CU3QX5AkS2kv3fLSUKw2pmhcoc3kYPWyulwU4O9rgEDeAPXKTSI+MxsG2IZJoqxQ 47BZ6ILjB54uaXkZmT8OF7dTJCFXA47GqFPM5py9tiULmdpdt0/uIgjLvfKwT2aDjtMI0coE7OXo mLrOthdaujyuE+WS6MLx3EzGltwPMtCLCesvvkUFo6nIXGZLoK6gqpWVjT/SxSBft3fRVcu89Y9y 11f9nTD5OPQKakOzQqbHIWNaKZhQVhfDYo3u1kaFivP1UE0fXUibdmN9rPVASBsFI/i/X7f1XS2o aMlEwZVg9hFVv5gbqyihTq5IadzK0e6cO8UcO3gYlsi1xgb232uGfJXOuBo7L2C7ypjdiye0X9yC ozE0j+5pWLEwDybs3dyf8fKYOWEBcu1NEIoZhI8TNPxKhJRk9QM33IBzPIIlGCx8jNaHItua19W+ ivsyRi/EBMXosnpx9EvcNe/PDxx4i/3KpB2iEaVHa5hl+oW1YMEbUdbUabjeURp3YnUEy40KZJSY JhLruaEh7AdCBOHQGO/gDSQccB2LBerFyHFj8F0gWNq6Uh7YAwQpucH0V9O+doy3f9hHZTdL/lA8 s9sT+V1L/NJxv+BnIF863Jyvk7BkzG/N6QRDRdnfVwN1Nzwq7wXRiqW+0rHmHf5cy00aQMucVUVs KuZxzYXWywGrvRABgm+jokSVkiro5tw79MnSZKXnKrk2J5ZIap9eQCypWk8fU8Lf3NzoSzANF+da cZM2Uh3gXvy9gE1vVxi/+3U5IZtD7ziT4PQeHxUioDjI3pwgurZzRWOIwQtpr/5KpdS7TZHWGIga 7riOR3gopN3jNaOe8GPjXJpCLubHJGI+uv/jcBMlOc6ZnoglVhfHwsug+FhZTRXMaCNY215f/riI lH6eDXmhgw/Ofl+C8SUSJE5OAMVGvJfYZVAcEbuHksQSffQkRic+7ULJLSImO7WlVVt7Q/FK/KXN /xiIsiz2ptOpYW9jnPkWOB0h0Lf4imlJIjfeYhqCc9lJ+AN1j2p1DX2to7VxPLrta5o7sgNu3uul bFhPjT5F9HJ/7QfQAoS2dhMS7GmZAZYkhzj+xzoF41n+p0dbMnNcjVceU2QuOwgsaxSeh4EkxjO7 +nYkEskL7BvK2mdx8aTkyF/3c5QCAAc8N+9eS6FWk3gar7u6CGOCSH+809JJ8T1lChInZ35o/wbo WxsjPKUaZlt+UokU2Ch90FE7zTjmzJehX5P0Isspk+Ig83CQ4VVlxlJYUFGMOt4QItub/h7BuGeq 8EmXTrvmdj9ujWFwmGb4JvaWZz16iIwDAhZTjKhw7k2GD4+dJxp67unleoULXaMUcTFLJlHSdn0q Sbs01thgSJEO/1+a4zDvsft5vDTcBLnWzJqojQ2Btw97okagWSdVxgj64f2FAoJgwcu1As0T7lQ7 gbVcOXhc1hqMnjYqzXryi+One2cpCt1S3vFdgMATLYLLQ01h66dB6vbuWtTScfHDupto7ye8KUyZ BrI8iZBsBTPviS7+jTDufVfrQJjR3PhlaqGUGfulSZwGY385bDcubHuzK6HjK92y+x7gpVuiqlet IR6radRwU/xA3BIA7lkDYkNeBZpIMjmSBlVeNQA1iDSqexmPSsrgcOA68ttNpsJvTxxULlFbxwZB 5lTjsCVgKsSzlVsXuN5lSeUwvI1Knozjbynuyyj/mYx20lwvkc1OaQIhxg6oq4hWfk9E3WKxZ3Dp L5croTA7jZA8lwpojhTMX8ywpk48O1Nkzf0buyuqTYgrTPubfNXh8yvelNj59BRtJkG26X91WOII zbe5GysLa8ot5kiqJGY+mYAXwjQNUzzucffwN5+oQN/fV8otTi8F1jbrSKcUSNzA+WollIuqkeuj nnVQDLOftenHRxdHIO0euU1WtvlUYU5MRP3w4hZI964fiy9ZoA3iBmqCOmLHzwuPwx5wv+xsNguq EtycjduXq/85nHs4wxPRq43oqu7lTgb2i8qsWjN2wUHrqmcU4+s/a2cRAPZ9O990uhXaY9LZXqSR I3WZiQV7OJS12e2erIC6CEnfkc/4v1YG4lxHl6F8ld7FOfDsilAFUTf1xs79NYp51xuUI64aMYCp zWYvYVnMTodIY42ofpyp+I7qdcGItShel4fLv1ekRy8RxB9gl1iJFDjf3CS5H5obahUbNSPOqc9e Clk8uAsv1bG3ZYyWYMYIs3tRLPQXFwHVuqbDTZE+DVLg6bCQEKTVuHyIZRIeN6cTPGsZUMAexwln JtpBimEhO5CGzdjHfp/8pbiT301g3nt8qcFnCVr3OLQH9B0KvTl9wvfY0DYDwRrJiC3pIlwY0qBg OBtuXVGCCfwMhPmvq+7O+vTaROTXR3QtiHg7tdTK7Use4Fz4n7kq465ZKHv1DpG+Bt0/mIV4YKyJ ev/9I3CgvnBF/4YACoropT3LmVgXKJ+Zo14hs2dC3lUOL4Gmj8Fk9A47s2/uFyctuA1v3yajWLw1 nvoCfPS8Vnm7EKII1Eb0ia/PR4zcN9A6jWKzwemYIhBlDYTzxGNscc+8KZ+J4sji5Y/bLjsbksSd E6Siz7tlI9DwVaVjMhztMsP1MnxizWmysj28Jz6Lv3blfc4/6MQZAHvQegFIVNXU372NfMHCeQVM o5kC4t7BP1KbxRCHr+evmsqv6PMFTXaybOC51wbuGMjyrtUGbmF56k+VecpuG8U2NtvzRU0siAVK 2h0RkIENpsi2qr0TYrzmmZOawd00MehHequdIHM82OlO7J+o8p592c30wlkWNlc6ck41vjvxwy1f 5LigDGgSUjhIR0ehTAEajxPt2c9PV7eBBF4acVNzw5fzd4+vfO6s37tA3BTQTfMY3RJfH1dDxhnf a6zmVYod3IVgQkyx9LBbwijNCjMLkBSfKEts6SD1LT4Jc0cB5jkLtYHOQ/c99If/vzTnfCBhBVcX Oxv9w+khAYIFu0r/9yI3AxEyITfeQxpwQaTfmpBYFl+LjgodJimddsFvTDCPgtnr7ouuraBm6Ri6 MwBHFeG77KenvR1nxj0TUtZKUasTyU6dnThceHaYUBKKnp6ngVO0B6H+pH8BZ7DMWtlcaOkjszhh EBzczCg1ZhleyKQwUgylR3k+WwOggyPy8lweio4Qo2tmrVjAKqr36vDdySJV2i9d0vLB+OMkex/k xFl4tN7iFd03BoYOfUKYe4BNraY78Evwg+g4UUQb+skA0y2kXt5AC39gkAI5NlLMzAh2b8b+0kvY NSlaV/Md9RoGD+rMrIcqcIddQLbju0uEbN4Dp21ltj+rrFDkzLBKvxfKnHlktTAKqHtFOSCL324P LbXdsD5E3g6SsH5b7T982IK2q4xztU1E44EOJEhiQd8Si5koGY/EVF9CBwgOt2IN0h8SoODih1lv R2sn2905QF1+QgVd7mLsb9HIAze4EbBaa3pk4k+UehIDfVZHCNrhlAfdLfsSkiXDDbcturwUjOx8 N4R/I2CUlNsAVmmvka1jBBz15cGpvamvwNynvqHIvVIjlKOl1Q+2Za+If3z98QhCBXdIRUDapbe5 J3StCpOr+EV8CpJEYeKSewVaKOlfwE07Ph4Q/K1GWTxAG0mrwWnN24kw1ghRM/LOPtqbpHUiNj4X ZnqLih/37dioAtysMuXnVOE2DuWJp/vT7duW73iZAHeE2Xno/ptUpt1knMeNCL0bvUXf+dIuVoZK eBZP/G3iseKuhuti5ZibcLejvCtJLdKkdSqgYpI/Fyo4EPtv4IETNLC4FjhbfZPzjSGymqxTamsl /oeOYh3aikBQQ6Fc5JaqmVec3b2ClCE5YbZveE1IrOrdrNyO778yDns1fbEeBGZZMBLR4p7Zurtg TVUExm41PCNvDlZ8BEsfB/ZD/m/xy5ojNvb+VrY66enNpZ56PEF9NkbixWQzE+qxf+CjBkRbSPQw LtiDCvyp8IIXvEjgf6TwZdEABVkzCVL36h+npLYxDWTcdbvg00hnYv6N0X2yoojmm4DjdMiQqn9O Y34tXU/4FIMgsnSSLs42WpRI758Qhe8oyRYeZA9oIizyU7ZnxYTZwUevMpoDtUqV08WlWbefdACT W5B2o9Zm8aYq3oWMXOij1EtpwLPW8c9bCv74MMa1ahpBG1wnOge5GzHq+DWTFr4ONVXrSKSeHcaw gjxYhkmAKpSBHIHf7ngx4/Z0/VRhBcuvIIkhvQc4BzdQjcJVlCfdLswoEoDnh/4mpwa9/UNkBM54 0Pl2ep3XUe0Sz/n6v38BigemScpks/GeqbSnZsqzh3UOYLnTPYXiKdhH9K1dgTzfbXvA622qqPjc Sm7Oh8iG50hY1YceI6gOsJESUcr3PBSO0UvHQEGuF6dWhGAj9wX2xVLfjiSBy1WxiW9DpuNu6O8d tdb66LSN7yq7p2VrNGPkn7EFAiWPdQqfDcpMIReRPaDQxC+QKH5tqcgdaZ5zgoUBFirfgWQwc4YA j1v1BJ1CrpNH4p5+oHeT2IIHjBph7mwKviN1B8O0FjTTir8WQ/LfBkg/4ao2AgrP3sjn9nmW4ebF NcUbX6nZhB4i28OVg69brEmlEusJ3y2cNkpMbSw6CO6MaVhz6ADimKNtxrvoWe8+whg3mmtuKnJw u6ylsEW3TKcpykipzIRAvu0ggjhFCbXrODi74WtD/2zy/Dr+AoLWGb+kpMTK53c3PFGO0d2AF++y SfvOu4k5ckwd08V9Avj4xJ59ni3wsgqXM6tRVgPM9WYVURMxTH41C74xCIImEdvwtAbxOLOUpl86 0dBJ9w9Bl8oTCC7x4sS8zz5zPVE1iw3wBkdp2Zl8sWnWuNQW+Y3sPNWK8d8j60c5JRo4MbhSLdUd irSpU8lOwW6rBetdmjnGMCvwINmWFIWlOy3SaCYzJCLpb8LwLcN9Iy0EVHWtfSj2cQOLm98kt7n2 WmBAnUR01VPxoJ09o5L47FSsvzGZ85UuK13QnIl2Hg2JgT/RN77TeEJi3pS9k3ITLFr6kTys2QZO 2i5euI7Ustg7pbvoDmhwB/ORCB33xp1jUU78MM/Pb0vLzq7GRIWyAEgbMjQptkJKFuqvaB6VRPcJ 48m8XMAOgM5PltZGUQdPia/G/JTckCp93dHTheYxN0A2h2swIrvdehPPPKHtrfqbI0dNzG1wj8Li ZVWPev66yuRwOpnHCy2z06rY+bjRQx0CMlaDip/7kbzV9fHTd8pv8cc3YmKh3SlWHIwezZ4goQ7I 3Gar3J5cg3B3wLCaNvo7bE4KiCalleKfcaJXNKe6dxl8j/APuIvA6qoEWEcRtVJYoKPioyhJUulS cZt39OrBH0+32Ip7Tdi5x251J2Z8v0ajCg8Ga+FgUrxzejRxBplKKvVEXcJ3rFLpt0rqd2Oo4LMf kVEkScLzr3pTvJ4B6+7LgIh5AwTg871VwS1WmGuE62h0PM8wuxMQG3S0XU4Z8IBN77FOKe3DTVCY tTN/vKeSFBerEIf0urLVfqU81rFOs6lcUtFmAYKgOmGN1jY1e/+F2EcAqRNV8KfVBEue8Z+/81Hs 2f+AfrgOk7jcycBIONfpnT5fbjTfM50p6i5mWIOK3iCCouguichUwk/11BGBwYOLbUCr8Dcwobxs INQv5/WgqJYYcfpia826Jbvr7heclF173HRYCRQZi1EodIkm9faw5paas+8Z3s3GZzWMjtRagM9E wEsOq0F12Z/1UhjbmI6xUYXNnh6tSbFz55+PEYQrsohO9iYBcuQgfYjbkCf3PMNevPRpKvVsmZ3e b7gRmDhLsXjigyoVZzbBCVsIonwzhFjRDrlb9fI5bMQt3jYi2dcHSdqcFtrYvM/1hfRy78Jhm/m1 gOqJmbAhY5nbm4LFHacsJdDYioqqncZ7uuPDpkBY55NiOiEQ/LuzSndmj0Uq+jk4CojHN1yUS/1l heD6jn4yXhzI3q1+5RmJOmiHfJn2+TDddU8VBrpsShxMVoa+v915Y1jo1K3gOU3qSG2DO6/lB1aa y7wfW1q9nJBd5OJInDtdlSBTxLbG5NyKuWDyRFEQq78sO1R/+hnxlJqZzA3mQ5GI8U0Ptor91yun NB+wnS+/4+bWZE5v+EmyJr9i4oGVKe3ikhFGbF3KsF5HtzUqAt+huqK7WVNivGQe2V6Qn0c7j/Rv MKtaRO05nHKfgCfLLqRC6zPRrpzjD/RaxbSdbnkXAhKAJHVwsLs86m0vX4dIMigwVwk8G0tjWU+o GAIomsZQeMSmc5oyJeUIgfrOzUNNNPxp5wTLIaVMczMCH7dEzsQuml31eWTHZzuqPUFsMDlfsd9i a48FioJSVGFZxcRy8DZU2x/jJxqowhcV7sECVBxPOD/bi0mxWHzZZdGXcRUyy2yOg9SsaOxL9Lpo 6bIc7buHYPISgGEGITVqesqQnkSTlGCDJDfC6uDJzMM8MbeUNJuM+c8EHa8u/FGc53iUHur2qkEe cYymG+0UOpeBey0QwP6z/Hbl2383aN8+ycG2/qWmdGs0fE0qp/uIY8n50FOEPl1rDzeQXrKO36MB rlcfHuNNKl2AM0M1TQPJYeAKtjYHzRATSiJi5uTSrpWbltwHpwKSDoo1XN1sAwWP0jFIWde/h8bq ibAwK00jksfwlcpSu2iBT0xzfLBSl0kDoa9A8oPd8T3w3SG2yUsyUlZyHxOfRjDw5LeQ9dv3KtX9 mzmkW+jbkXikwy42kMLb13/btOu65vc2Bx7vPO+OLg5TPtFcvL/fq7zI3bfDbhXWxGtVMq1pnpPp E7wjCfpOEhsf76imvuDYbL9nJnE+fuvmqu+mnfU2yqHvSaGd0WbTNYnIy67Qe10Ca5UthVHDSXYw IIWUvGT0MBF4+b8RY89vrjGKfWIOK0TiaDP32MAM/K0mYSd3W4lMiWcenEROCCeWarJmTx5V46oX GVu6ZXitEG8oT9qtj9TPgTApMklndbs1F3twyJ4pHfH9yJbiD/4NrI+d97PImdhD2kUfjpoaMvAL v4ruwvvUZdbSXJH9rIjmnlO48XUq3CcR41otI0yNreAqy13PMNWroBUVcWGNL8Oa1QW0z4jVQRDo Kz1DcOsWrS7Dux6u7FCcMcj1Zk8gai9il5cYhOTOYWsKOw6/+JiMbK1ngvF4zteEvcNj3vMTSLyz MM80pwddMxRYHMLWpmnXgv+IQVn67bzMPpKhId00l4/Z+7k+mlcG68akqvhbQpXYOrd4bjjswOwF QKBNHChTCYJXTlGmwuWX+2MY0b5OdSCRmIFKOK3NpwIMvpIuD1ABiw4yriRyMjjdbMpl4AURCYmP tXoxO54dqcPyin+y5HadtWkXRSQkpUC95k5salWzy0VJIePM3tkstbF+K5zYXwk2aofcX9rk8cQX EyfNbYzUlVwbRvSRuuDf92S5ygPSXwFKhgUX5GGUIIf/yX8+CZfR11K2ADzEwoG1sl21O2gi9eIV 9ct/vegpvr9RL+jSHFjHqHm7WcWDALs4z/FGZz2BGc6Q1zFUQGnaMPu8fGolndGIBld2pKCqXgi2 OVAucwEh+uRS8zHANNurU43l9XVM4hXCUtYEeSYSUC+mDwTajLyP1nUwsm8grJkV8LOhmItWqkYe BOKSG+L4rO3J5yuyDG13 `protect end_protected
mit
HighlandersFRC/fpga
led_string_no_gpio/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_auto_pc_15/fifo_generator_v11_0/ramfifo/rd_status_flags_as.vhd
19
15251
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block iEtOB5S3Q/0nxxj3yhZWc1e9CYVNx9kxE38Uvw9Q5GTpbeWA/PaP7MHi1hZ25jWcWTCQq2m6lqXe j4/ejpW9UA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block Xuau91ineWkILAnXNctj7ghjv8v9lVNvmGeO8/qKPRA098IIoEEWbPkQsDw9y8PN0Kc6j93b9RA3 24AkaGw7vS3twv084InDNHpEnlN63djkx5ZcyOiUohe4xecSmu6QA9TFBRDs0Woq2jQD5/qd0oJL /BaRHEN9wihMkCnRmi4= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block DukDx60lt5tRoBa9fYOjxQXcMx39PTzSzi3mfBKPNtGRH42SBSoh47iSUDQLozXc9RVtQC3PW07a TdEl+U9LI0QpSHNQLVojqhahZCfYOg99dtV1mWPojzxtpV99k2zYX2J3PXN/YbIzV8ZxTpLcq1Jp CAIcrPJ/34KYVzvzXFRsvxEfk+CxS8lIGg/nVz9ZI/SFfi31TG5Gc9nsiydQV6NxDLfMTIZ9geQt WjMt/ZdcVbixfIDM01Blr6PmvrTG06LX8uxL31TQuw5SZfsZBAh/PoXSzsMleljAYXIhMhdSUOnh qfkHi0I/YHOxbZGvwoECi6yzPk1O8e4p+mbfJg== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block JfFouWl9C67kV59ngW+xbX0i0eu6h0roaptqFtm5oV4WYkqMJEDqBwmHay9e7sJ9CO+K40RDFIJe /eeImbz2XS0Q6PwgmMgPAHRoOg4fHkGIAEugmb7hj+mXvk7iQo09CaB7HocKsvGcx4nu5U5a1pLQ 6UjYczksNjCCieDaJQc= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block RNy6OyrkxjF2nMK7NTVKf+mkYRQZVhnkvdhxFI69h+pJImlNAm3GMG9cNkr/rYPBFr0KpngtSqYa zub6qdQpsLCoZ7qDFdEc1+wws1xQHHeB7VAyyByyPc8Chu9XZcfd6cEAYC55a9lNvtmKoAjppEfF hj3OtTTwZQDicoWmteMIzi2n5YcjhwpDSzFHpmKq+NQje013CABovpP0/TVMHv74ZpkyX30HW4tb 0iH2SzLvUD7U/AR0ul2kht6wcMaLE9E6bQipSYn1DEnfUpMfQgGpPJCWjykHayljMFWfI9ucuNXK 1XTo7EI77uCstdWwv1uP3ZSQ8pFNDP7NXG8mpg== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 9552) `protect data_block M1D2l4NxaLnfXOdDYZ2QszdutNK9OUT1NJMn2puQlbjJDzMn1qJQNs9iF2LiWLluY8sZheoitPqr cOhqBS2p7ZY3GerPC9D89CUiIP0GKTF3tSraXs5YDGUmYZiM/7G3t01P28yYppdJ7ylv2NaOpWsw iQTeLvDDfSGUA2Rwqp3PXYQTnzzuFtcl7O1qjcjpo1QVugMgdmeaTaODmo+zdp0T9/10DxMilPvw ij5+ey58622vEGmsnw5wncVKldBNRmK5fenecl2OPkFM1sBYsxCGbjSGlf3u+xsLO9BpMLLaiowU J9e2OubNuo2ujy4CRM9lrrA2nm53SXpVVQMjSfHTlU5qlVSvozXnA61B3uC2A7EoSZPi12u2A9Ig mDDieh4wP3pHT7GGsYteVye4UKQfrJO81nSxnUeUSJdcNAfpFEOOEXdCwDidNlWTkxiuyoprWes+ GSE/SXmaQpArcm3PCG5Fik9PgXMz7fN2fKhTCfxWVxh7giCv3f7iASjLqZ4KWd4SRrKScAl0JUtk uc5DaKEcrs0Lzz3Swi4E1jRh4U6Gefpwou0jah8Bq6n4mkqpuwiP/O2BoQd+wamCuGiE5ZaAEDpj J9RlPeUXFnL2k1EmDi0Fx0/faKNrHEiWtdx3hyCwS7cU1+FszYolPf/8JfPqQSaqWGlFB2n/R7BC JFRfyZtVBOs5FlMp0g3oIW4k3sYztuBo3dp4KhXYki64j8y3Nlxs+hh1FkDmZaOm6UaHPybqHoTN Oo+ZoJ43lx4jMBVcU1vUqw7CQtU/3joZHJ4CEMNZz5PP/BPxA4LB2NRn/sXrYWkYPAMNi2Ji2g4B +1K/6KAaoiWDznfeTV0q6rlO6XOZEZTiuShVAQyLevLwnTsUyxzuQgwTH8jgOOcvjIwRFqhitf3D 1B67B5RCz++PmG1pxIm6GPTJTCjwkf+J1JauoHejWZlDVVROW7HZOaQGim1WWXbXdz6e9TigMOjp J8+q5YmdsoyrbvHveXF5oW3lZ/e+g5z0Y4d0A0hWqEUyYEzG5xZiYgVKPKR0PyDSytBiZqynxJZm DD9UAqXZzLF/mBdZ3pojYumfWMEzSKL00g6dXmQbj6hRANakbcRNNuUunA9kbDU4qgml3T7NLkvz d+ig40fMcFne7YpeyMukyzRDdrd1CLSmOpiWMf6Dmb9Cbeu6vGu7PBd12zFofSClBnGuP/ysf9Lr HHtG0qS6JCWMeomPEWOOLj5X348vAnt9+ZnwN1pwyQFYavNYFYemzqW03kgQoL4TzuIoF2Wlbwk9 ds5PFYdykZTpwwsgzCgWDOvMN+JfaS1MnlZO7dFrwIfXroMvvfKjCNYs99W4tGQeFfFODEvMen6O 1UCmx2arYCcBg6gdOq+8y8ChACkCaZrwYMVNTrtvy0A7mK2u3Ha8g8c7T0x53q0VgqhsRI/6uhNL iUfKHBU+rTNawFo5V4dmj8aPNeWkzBWrXAPBa/OIUzSVrfLnLJdPkHmeyrbuw4mQI1XRKwuQsqf8 3lOSzg7z14lv7YkrcpQbochgzV9DDfZSJMRubL6/1jlO1tElcV4sohBJ+e/Vw7fef89cD512NaT+ r8lFtfQx0vCelT+3/YZilGXQTD0Tj9YrAtNFKdKj+Q8hN50VIaLAiKyxEGAIdpxLa17p4hjIDf6a N1KTo9pyEFVjVaGfrZrhXTHHbH6biuIj9ot8IFKYX8W78mgvRIHAJM7kPmM2jCPW6hskFq88u2IQ 8VfnfaU16BkoOC55ahZI8hHNBzh7qRhV03sBAJ0PStA68ZcGLwoyia00/sHAbHj4mgjTLEFaaHcH CYVGiPpFCX1qCYe029+lbfIViTqiXSn8NFPNHzgjljcPk3YA41o9qkvjcBOkP8xRtGaFSDKDeBKG JxbMJs7q3iPgEtVgWlfinF0NDfbjBdB1bDHlrFFhZeQbbyJfPPk4BU2hYI77nRRx/2GkaWTxPj4x If6xIiFo2sy9Xgca+E9bM6DV7T94dUBAzgW0Ujf1VP3ox+0vh2OAP5lTRIw5hZld/wynLL7NJfka 18K974j5BUap6wPEQj0ovqzD+F7mS67nIyZaPEDFOMEVwoY/9ogKwVefNYN5aV+7aGQDorpTWQQg Kpl1BWwx1zb9EBZsu0L7i8HDIGURjxOwhraXJC/gZ/+Kg4aqEZQ9UYISUYdBBKwyHC8z45OPbKVt QQO0VJ0AlHrJr1eP03xOa6shbZUyHqeP7kRN9ysUyO6f01/e9iORrO+cuMvUXj1RKjI/FASsNx/I EF5ltu6nmcbspl5jyGqeLH0d0JGiNgiZQyPblK3wrlefXqWavFXDn4ctfm5pw7rKdc23vdz28LYb N1P+20zslRj4iKdUkv11oalFz8NdJV9QX1J7pixVgeRQXRt1rLrnd1x5CrlTsZdEo3JgEt+pHgys zIwG+K7AVYCsDMTNftmcu9gc7LX+WW8nruxA6Ldpr4fWkwZcfGFwrZvzO97bwxniBm5Ga3KNkpgW nltMSr+Cn9+vHc0u2KDJ5IbdfWMdtWzJVAKHhMXiaC7O2bosOyCQ5o+glULyxrHhdzes8RBQQI3T cPTU0NMZLa6JXmw45P9NHjXVea9h/svBctWcFgB8TwOWT39QUQl0E33T8dXvuqZR8ob69KenAukF hGvMIjiHYM8zSoUmWo0K5JEn15qYu8bdztyDkImWO84QWGwbwmDCky93dvCnkYqxaNaoI3oB6T85 icsdd5tLANlp8whOv102UoyW03Rzmw91byHByZ+i90jz+VIvDlNt8vfGNy+z6fCK6MOUtfRGjKhs wwe4SiciTnjM0OJ7NNqKm80fcATBtp327U9jF2w5aii2GW4B52EaOvJfCxNEes6jtLla/s8A5ONN 7zB7kAz92Yc+WLLVjiv66N2EqrMyPF9pF++OM8SReRWvIqvmSJjIgRuW8BFtJRaYVLcAmt5Tmia1 3bqpgWRNAcOuRRx/gDUbAq/2DfwUBCGfaBooWqQk+SsNs24ePWuJjACjv4T9hM22wSaYMPTAHVbl QnFyDtO2XllY3vfjgLV7fPZA/arXM04ujUIrWsJueDi1UtT4gkhITPjgn2EG1fyrF+aIZOiZxGr8 JvS9MslEVfq/c0Hb+/k4CA9dSMU8QyEVtTCfwT4gWJWZ4z4JQjnzVb59ivFbmaVzxb583ikzgGpA rPy3EXOgMZECDAB201e6BkdaSEzxCnFZ1qJJQdni3Xb0oI/wbUXxNDYs53gAzqNwsu2gbMAoaRnZ OJEs1ni2U9//ywS/6FdHV2i09sJNDr9FsSB1cZDk20kFnLdx6GjMv8FpvU8mSFMAfd/y5FFBjlhR ktKM0bAHBY6fhQKOfdRaKO49NoWaGrHqDEFN2ZUtYH1jzuCes0zVdgYfZhouoaGu8kRaPLi1sWxR mZN39OVTMF6hK5VwzLST2kLZ4+lrLZGCHQa6mDyM04MQ3zFh/iOWaMHBPtx9Xk/s4IAqNBvqmSmc mQOPisS11ah82VHnjN0FzWGm2FFLySruf0ouU194FRKRny8QHX0mQ4W596wl3aMyXMSjBp1wU2B+ XOLd2cNMrvn34VvQrM3S8ojB5R9ERq/Gw9rkOI5GscuLqC/o+lHGH5mkXDHA8S5Ci+Bmy/DdYl7w GV0H9ZGYiCTqNmdRaUr+kpe0hjM9d30zRJE7vdxwPHMhZSEJYPewmuj0wHLVt17i0xJ5lCZkQEnE orHOo0CKEZuBYOG2YDm4dajaLvVqnTtpIlNr1PRk+p4Kjwjt3sB5dVqf5CG3jpLEh6oRLUsumGx7 DDmz+q3YQa/kpGizSr+uwHI9A1mEq50+oVr0tUxC2rzMBUPxKRAgcvK8geKsWjeFNS5o1sIdEdAD f7O1ucYVHARxD23MUOYiTkonZ+wCK++xc5yYikJrv6VkI4XINZGl7hexhwTS2L6fTCKlLdFCZeRe nIDjAE4c/n85+4FWFM3bjadIrwLQbDiXOY9q1KQUTMheOYkWnc2mvRVR+lox1vEiM8wssVwwFnEx MEKqtIcfxHxQlB4tEt0Hz5QdCOadmgFtbGwn1HiR7AUiqqBIZMfn1NToO03ykCCtG/X6rK6l3sml ekNE4z/eSk/iaG9wdas/3Em0W4aOvl7ri1aUOQhbdAOmvFOv97jvrOxNytq+hfaJnTwSrpwKzuRo 68AwVdn+A/CKjwrRYSKwijDCmp7Ahl9M8INYxi3kbJWJ6WV1TlEKkkjSPz4dXdEZmoLXKmrOo6TE SKmRGKczc+Vi7ywxbMN1SxyZMdrG444XPo7QmUoPZjpwwdR3f2yBl8yCPj+xE2h2DdfMvH/wUxIT Yv5rxslWqDBpO/y/lEKOEw5obqHbhTEBb/EI4IzHZIZ8TitNAr8j0Ic9G77DewbgOfTmLjueEGEO pPrOdK3tuXweLirN4cPmwzhxyYPgJ/HOxr5WV7NbLmAYKjJCcbdRpQZE4eYun6ADQBBHQjv5muOK WDdPIbSGtI1XvMYPD37RkFLRu6JNbh5sD/QzbfsIlhiCqupajMOKts4hdBJITYSIFmoyxCRq8xSe w2geFapTx0R8qOiCNARttWpW6J5joiBFuM6hnLjaplUGx3kBamASCoD7a1Ca1Wk5d5JdfPmK/R6w l5xL3/BSc/hP7ymeOW17P5fShHakAlXK8w91m5FwQfL7+dmkasjyg8VDTNVah8g4ux2pD0OsTpX2 9jRFw1BqumJsWy9cojcr8X/Z29xTL9WTNcDDDLlfyp8Yc+OOx2IEdXqT0D/5PH6jXAlZCRJI3ZT8 fi0q+SPKJVY0aY20kH7EblhPZ3BOT4Vnr3CtibyEXAq5FahnsVT4e88QSJLcMaDerY5kiSKSKkiU RD1zMBoc/icSPHCreePTY87ek2uQ3rTHvAQZB2j4TgCSz8+mzZq3zIiOnHLAhbHXeaea3qoh6vxJ cRMBTsEkahHNS/mQASt9G+qowB1DGEypEdFPW5IZUf3XBSpTBQYBJnPGJ7fNjMlR2oFQ2f1QxYn+ SAG7YKlYhYR7usgn/LAEKodsK9kpK9r6nzx51Uk6A+aaOHv0N+TueULTfctFz6PmYglX6eeWoSFG GO3OG5LQhYLBeKJbvLlmYth7oBEOF4vGn1pl/N9kRENhZMGtWVfoqN6BOrzv4uu2w1uyx8UFLTVy qKtgVz5wJ/Bb3kv4rcSdkgOmBWkdsUyfLno/zROTvk1/UOGXuIASvL/WuArCVfGF2oj1b5VigDCd BZIJM6P8TCLFvBah40Qcpv+uX9zzzjTpe0fQP6OiGycUEdLs6KuNvqzCFywyjYEk3T/qUvwH7dtH dtYrYh0m3aKWO6GqsHYgaWvdOJgCXsPMsMdcUF4Y+S5Im6oCRL28iEIRHSdlQU7bjXu/49Stzb9N 7zXkBR0hoL3LTNcmTol0sCasYTYGPzpgd/A9TSd0fq07uWOgyIxefgc5CXBHtbp9P+5JHiBh6Ce0 zLLgjfg7zUgkXPOZ5qcE9LX65qPRcEm6E5Kp0mIbrXQll93qXTk52GxQ/c9ULO5NUZr9voj2mLt6 whKI3wTw3cfzpoSC9DbTwgV0x1g3khRREidwCyhh2blkPc7xMQL59TTVKtXEGbGTVCbcTCfdQXXh v7sSw3sc/7jvG9XgqmAG8y9Zr+JD+bUMiBLtQmUPIOeFOvFHBb2gfUFF/uhE0qOJB+r3FOOuyad4 FM7T7cNX24AInwQ1/1sXlamEl9J+86gkSKqrnFAiFZ7oLnjdkqQq2hzUW8wNgvm/YYUxoeSeq4bd E01I3FPG5PsYqb4oMj2vBTdMux8X3lfge91nGokzGGjwEH4a9sYHzlpI16IYMyonOaLFi7AoOjo/ 9/CYHyaFOTlrn4/xBr7YwitJUK3xgfvI43k+tthjc39HMWPR4YKzxqBQPKKR57chsvNCJBKzo2OD d9Su6kO2CteCnEPSDo/T25D4IuZ3vHKLA4aXpuKX5eAICHaKfNlY9auL6ShhMZRm6vgHBVEsu00v 90apy/OgANz7FbJLltfvlmzC6gqSv/jm3hQgb90nm/4x3QsptU7+DewQs10zDYCjCqD1XbgLlRAI TWEuqCpBqKRknu1/bgbEZVIOcuaAHBnTDqQunSSfYj5DAZ3s4Zfqbo9GvWB3afJT+0F427p0Ivvq jjtFVPVxzZD25Q1UEuwaKllNRND7MUyKeyRsfjFtJBDMSCMEOGs6l65U4ckrPxKgxMkuchSW/sQ0 E747h+dXS81vr5UWOMR9kA5lNcqAOqW+0AnkdA377aOmatL7fw2u88gkba1iwHMgtcrWvyPhmewK l+v97g/Ocqv1LDDbgrAHGW9X1qyMqC02KpxV0yUEvKqWv4G0EMr4r429LRrFEd325JgPznQzUaTa srha8p7noJlLfENl/piSL8G0BP8a6W02Qv/MvVWTUgZjlZ5z9sXP3lIDm4cWMKoLeVVcl1z4ip8D TTnEB0lGMltzUxT5NDkmk8vdAfw6CIqdaqhkoKjWV3KPmAfrG9piPixhgqphb/toaWMhXeSR1ybv B6LnluBcqPUCgrvsuj8dta3+Nk56BsbzaA5fGaD5QixaJz6wfyX9RIJV00mkl89Rb9ss8uG6wdyE o3D7LbM54z0qTQ9J7f0rocGfsKUy/TYzg25OfwWN+xekJZDzGFgPBI4WUu79otS6uoyWIUpT97xL YnLjPvEYpXs+bn0dbT8aitMO7myUpEBFlD31xmYak9Dg/wb2pKDUBeCRM6pCSr86f5/LEtng6gtA DFQ657c+dcgKJAZPKl6C6dEdthz45A0+Fg/dWvAChOAZTlcK8aIbvBQ576q3VFJ1HY0+MQGuJIOP D7UOYmgkYppDSvdLehY98dzWa7LeEiBajznAtZrPJQE/6rF7s3PB3HXyeYnPw31zkeJFBqY0r18S sU/DgO6jg2lxxlqFLD4yw6lpVFwtrXZ30xKZbqvriWJNjZmnpZ7TtcZBw4jvqKsKSW+vAzd552pq yls1gMzeAoOdgnQrvPhJCOxnSWP6ZB/z4RdXvnV/YnkpPqgm8K48IvF5UZHWe6lshqhcEz5uJ4Tf njUFa1/YEgm3GrWjjmmXc8Ct8SHBT6G/jQiDdRfPhLTXS9APPgUarMip0VcVuZij2d4P7Rc5s7bl +vOYKW8QF3YkH0oQx5IjRpML1Cn3q04LVSDcVZq5sjuogwS68bPXj2zGMXIjx+3E3roXQFUC3l9G 0DRepAVwakI115Z0Lu2IXTKHK70VuLqApoO+ANyoSxuXIL/p63ayyxfBQ5ZwBk7q3dmlxvm0gw6Z K9BekqycuJOfVdPevbaEvspsyhoPljVQq1sc0LbfRMxcaVNyAsqBxPkTD7N2N8PJ9br8YW6eDRLH z6S6k5iOhaaffXvjVZQ1Gt8WsMyayGwqewgPyowqXh0Om3xSAIwsOJAfzWtHS1vNyJksDhvG7FV6 mtA47hcA9x9jxwN8FTo4+MiwjTxMc4EqA3f7cKTF1y2Ypa1yf5MCCnA+8zwsbeR4YQgAqyLV0o/3 CpRdDJOdO4XzgOE9mV6q/EBjia1QR1P610pyP8qPgpBHiQiJwwlIvcDTCyZuSfZljGU9U0C+Y3c8 4XKiPC1slis99jM1bGOxKKd/DnC8i/LTXNnuHaIZxI2eJrLgivTTla8p3U2dIT4tvbDmopkatPN5 uoNbEajix0PErDERltzZMC1uNpAQkSPDeAH+F3KR/45lr7xwov6F98v0LdaewvfakqKnF4qQfsEA NjhTdWe6dIDWIHMm+Yv1d01MDDAazmXBTFwWe0bfoCwYay6B9PS1iTkAZUj117dk2H6wC9mk0krL CdNSKAELHEXwGG8274KkcJge+ETwrGwy7Mb9Dtg9Vda6c8ixkIuqgPTmUC1JZy2LgXBV0/Tww2Oo BB9NGASYBMLQSHowX4C8PbW32vVnV9W6xUeVRJ5pVOHacBgHZ7Xt4HQg5KMWWobLG25vc7hf+yAF sMHXp2kLYmlaHnA+1LRirHdCtAwTBbi3DfvBA/Dj5ysRLPxlCIO/aAZr/y86VVYmyJelOkqWe2ED TYvHtUxL6lcYISKR9CjIRgoGmf/BV5QB4OafwUJYYkGPHicX+awOnlmBhmJH3DJ6E2Z6UCbIEYEY rvF3M7MAs+ININsOEEgI5xFGZCWHB/vkUe21qL5rXA6KNWPC9KycZnRQJZnraVb8u7XtA3R1SaWc fTyD9Hs+LkFSlOIUe5UyiQpdRu+qdKkhT9YvdJSlSjTrMj26HpBssWx2blXE7FLk+V6aypIsByoQ Oml2/CAdV6yQ4TVxb1qNgBfXzt6n2QZgOV3WTSeQjDILQo3zKyyDGW44SVmULrxbeU8qaAtE5fDA kL3ghagOjE37qFiJobMs6IgX9UcUfdRLKagKY0IrB9wMBuvqr4tyzn7v9zPxoO1yO5WxHGDEbabR oazg0Vmiz/mT2B5QQ1yDXJUwCcvRAoSgAulg/OapPJVDKnmvycbbW818Yyk+yr0mJn15ldfW/cy+ 1uw1ndGXDWrtvKpjR8zFR8E/qGOcH9dcsC1HU1U/MoCPDqxL/2SfnWU87Nvr6oTIS2hOKQKT0MFN 0KBeWy8tQ1hfS6UWI4xNOcHmonmXcEZuCfuypnQnTQq87L3XeV+RJcP6NmHPSohRABwhs2PmZMXJ 27v8meXV/P0vmRp8R9wIBbshNPjpajul3OusfHspYCJrpHOGKa7dBAgHoWytJcRgUMhj2AYUxVxG gCEp5rvZS3OXwaayP8feNsB81UYpVKuIpQ/uXLuK7rwyn7ZrzNEWEwuv5aC0xDa7at3weJ5lf0ai TjB02/s2u1jmI0OI8J2yZhcXeoASrwGp9hscnPGBlWo+bJLIlIhQTBSuJ/0UpfujSYpMA9hRwv71 1cB1I/uHKywa4uFu3mq98nNiigSVlOFmkP0lCTUCUi00J94OvlxqUkcwqw8JIpnn2C0KfDhx7Oi/ s022hojCUKQSPnqrQHf2yih7McjWs3z4NuDJALEvHEaBgPBY2EsCYWN50XAIYHjMPHzZMjVgODiq eapDyd7w5WZyXQAE8xyU6WdITHpImhW+vFO/YjtYQzRRODISScp2ygLzhLy19bwJzBaTqs/mBWCO BW0MivvYJk85r9cAsUjaGjiypxA41YVNFgfyRXoWs+FEQbdiMjuNSim/xpUlgVJvTBGltgZfaw3G 7bsmfDWzjSuQ7kmStS3AK2V2Zki3apGpYJ6PvQn2nETVsJLDXIcYiid/vCb8IxYDMsogUvYKFFni LxWjFFIE09Q3teTFGeVxsn9AwGF8JGZZq/sdjHtKZSyeqmhUk2Snhrhw8Ll7Zk+OPWkTHDtvFAO3 AwsRpO0sCHDMLrgNT3Sguaf6Mk2Eqmuy4Tfov6zeWi/ZRKCCPLXVI/HGDrWFdvoq8i8/Q3epoTqi Oab6asLdLCwZylhLL8qPm66PORrUMHHnl5KFZzugccNhCZfoPdYdSS+eaZyCdZGbrraH6tr0Nllc PYrBTX4eY0ZdFEor02dIPl05c9O06phFNcXGvh/gYeFwIWtW6fnuIHXbioqEsm/VMLY/1cBElwW7 XlAGXGGm/Ghb6yuSgHfNgQ0txBTSj1N33Tel3fywxFUEzXNIRWxlPwU9tABcZEc5D1V/vjfl1krJ X1XveAVrO8ARBM/eGmL6B4hxD3hUBLrS4zBUTN9IaiS3oQeugn8ZYEM2XmxWSeArnATsKC/eS02o F+Q+SCFgNQLEqRKUfEgqiwspPX2XyyMFHUT6FZI/vGvfJvICSdeIYtgRKUtixYUl4Tp6Jz+2asVQ QbmimLWSseon9JlnICQc48cV/tdLIUeTn5U6zdWBp7/wqSoxkmObFH/VlVw+eZ6JThoc43gBGVLd gmzK89vPy8mDTSsXJ7JXT7XJXZeAbxiS/evLfFcXqmGAlqY2kVuNsKmpY3d7hJtJapOvz6aZBiUz MiE+8I13oV3pSyOsBB9kK6XHdTomvSt5jayNFtCjOzTAzatyyt3JKEy1+Q06/1dA5fVqyxq7Xj06 FcNSbtE0eZodATXDxJkBIXadnqwQ54SfpCfwuqC1RidqblrLFaT81FtlecjAEEqnh0VaFeiM3r41 hV0dPgyEVkDLv7wHWq3RjNQqGk53N5g+z39IYvGE+KSZ0XN6BOucFjefAhl+aM2VgIX84N+QNo5z 86I1MZzUyHK9F2ti/NTTVVjYEhRVXDrtW1Al0MwCnVZSMctqs2sd4eupQLC68j2pc3T70MVUq4yD 4FabD7vAM70K6COGdYd4vUxsB515QQwKZDsDuiG/rOXRIXETSnkKj206fhpuj42gA3V5Xcb1OEsG R3scdlf47R2gg1mkQsu07lJU3NiO6RE4RKdjH/9qo8Hkku9cMHkEU2vKO/WrubKAjbxo2HCBtzG4 5sAlIy6PEjD6pHRvxxFHGtP11KECv6cYaLtyF9ns4GVDWeuWl4ugpPYjDleE0mS4lIeJXULvJkxh hd4fn370I6yTtMTJZnF5qNk4fJK8u5FbHKucy2edUAOunHb4tyygOeVMJK1U+baDG/QGNV4EYE7z bX05XkCUlTgwYMyMCf3ERLzAFKMARE3Sf44DElTCRET5ouVbyPHneu1Xxjwk4TqwMMv+gpJJ5c1E C8Ps2xA+yWVsbPX7i6KjPPjvw6JuJ8HPKq95qb3PVu4/FI4EaoLYJHixIUGV7SkPCqL3b9EncKqy 3lH3gY5tAqCdQisRjstlU9eLVsqq+ioUZ9m5Nk+JUgATqH7cfolO44qptRALyAZIvzemvSvGV5AP PHDQByquj38xLwOlhj/zSQMTVeRJcOFK5+/EuAqzjc+g1TG6g1fpKodvUE9i8lZaCCSYkwFb+5E6 cZUHM1GGPdFxVGpeOIZPnPiPIseL3w8ZVhvqVKTt42sx5bw7swpbjnorvmjO0AYk3qA33kGX+kbK XcuTsYPrrC6nxC4CW1cloCGngmwmPtQhVqj9RgZuKopssDy10NSPr6IKpGcLW1Si75ShDUBzkI9c DBKPzRO9xVm4hUZQhRxS2V03DwQ+nQiY2Gr/R6gYo1nYWVqNFkQC/YfgkVndTtQtYG4Vnk+Zr3+4 avi544ulT7NDlFJ0dns8ZQ6YvHTQGMahN+LWyh7JPBTHXgeBxDJfudY7N7P1oTnFrwZYZZu4dTtn fdEHIN9RDMGpF67ac8jVctKOmEtJfDNSMnNT4HpdlqYzU/yksf/OHB9TyIt6hsG6aZFH/u11ofFe GfV0DwPW7qLe5uBZVcN7NpH7x4lBNitD5Rsxgqxmhn8d4e3bnyHibSK+B14+eR2YqC0rICbIsvVK iICibzfUFlArFyyGigQnQLm3sIPu6mXHrYz6Wm8m3nptqBk8Xuze2FqB3CYgaOvDwg2OGCbYoCVH VL8rjeIZjlp1ZQ12mZQHaIag+OGEu+s/B1BKqiPqyGjIYpv5vU9XqLdi1Z+Cvc76FejhWGlIfPVs IBkRQOHhwxLM+1MXjtkYHy9oQMLcYv+nOCPT9uHRXs9AJs6hVcWrvUV04vlFmxU2QZLrs40M38HV 5+yDzW+MZaGSMXiQ2moXvnhAZ48QXmWB8AvHRs+7DFsr1lLZqVFMBW0ocpHLYFSe/YNteGvkeZfy 14ngO22UbkoJe8ZwvdhG5QdLp0a/LEuj3x/DZBfcb2LXKbPFUHzYIRkb48Q/mi0WC49LCXF2mpDM 3vn6TbLzL/NvhoZq5xylLKyfF5FmJwjwthGAduTUpp4bbzEghWZ/PhpvoDMgbh2itNK4AY/xm7x/ 2mP7mtfF5Hh1q4d/5EYLskApla3TJwrGIMH9ovnaMIbIxzQUC1KlSaB1hFmCnX6WDIKN9li5r8AF IvydEgJ9wxoeW88pV2TMD1IwF05VQGbhe8LmFwJovNPrL+bAabPjxHWH9MDi8COJvhXOxojBaY96 R4rOostEX7olMOUrzZLYopJ4nhnux/GokFRrd8voUCusYH9N2FTFRfhuPWS/rxyhl/B+zDd7cA3z KqTCLK9WLd7WItM0VyQ934nYErXqM1oc9bnk7zG2CBDip4zBeV+TEh+vrNbO+Kwry1DscoMMSkNZ UUw3PFOv931/DCPLQcBSiGkpReSq1i/Re6JQrEuPKx/5fV7vhQguR8GA5oAB8H1lgIsZbU+X5eil Afv01eBy43XVBfjZL5WVyN0WJtmq8SuY9fa2cXlMukZ4hASl6ta+6Em6AfxoB7gNjjiT99NNAOc/ elEV8orltJEzB/ey382rVe+Fzi6usI2LHhX1h54vCIBjTC7YXoisixT+ySpHCJ0DDHE2lDyLUuiQ 4bUawcwxWl9u26ztl92M0CEHh71uQhMNTOYnmmIZX09ZmQp8haMZ7+nu7loHEbsRKUl0RBlDXz6h M4zcQ//wKQ0qvcEagwXXHQM+NpTjXc1S2ZP1UEykCVyoFNBF5iGzvNe2QCYri6aj988pClCa7b3t vZsxWeE4VIvjm7njJiAkwDktRD7AsvGAeaMdLPXTmYoxeqzbaCi62L1xl3BxsV0L30dkiU19PdHY aSmAmpNKjfjGB4LtdhaFrzZdovv78SkhlglzbbMTFO1rJ0wKeGd9+AwooeZwDBzdTNo1D55f2u8M sxocLXUVw105TcysyTt2MS70iOp3QSvcVrRCB+JVFBInLUucJmVpbm97N7gNEDnBcC2/x4cjRhMl 2DqXbzQ4cVGKJPX3/sxBqhpi6soIF1g9lcNuRk50mE2D `protect end_protected
mit
HighlandersFRC/fpga
led_string_no_gpio/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_proc_sys_reset_1_0/proc_common_v4_0/hdl/src/vhdl/or_bits.vhd
15
10956
------------------------------------------------------------------------------- -- $Id: or_bits.vhd,v 1.1.4.1 2010/09/14 22:35:46 dougt Exp $ ------------------------------------------------------------------------------- -- Or_bits ------------------------------------------------------------------------------- -- -- ************************************************************************* -- ** ** -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This text/file contains proprietary, confidential ** -- ** information of Xilinx, Inc., is distributed under ** -- ** license from Xilinx, Inc., and may be used, copied ** -- ** and/or disclosed only pursuant to the terms of a valid ** -- ** license agreement with Xilinx, Inc. Xilinx hereby ** -- ** grants you a license to use this text/file solely for ** -- ** design, simulation, implementation and creation of ** -- ** design files limited to Xilinx devices or technologies. ** -- ** Use with non-Xilinx devices or technologies is expressly ** -- ** prohibited and immediately terminates your license unless ** -- ** covered by a separate agreement. ** -- ** ** -- ** Xilinx is providing this design, code, or information ** -- ** "as-is" solely for use in developing programs and ** -- ** solutions for Xilinx devices, with no obligation on the ** -- ** part of Xilinx to provide support. By providing this design, ** -- ** code, or information as one possible implementation of ** -- ** this feature, application or standard, Xilinx is making no ** -- ** representation that this implementation is free from any ** -- ** claims of infringement. You are responsible for obtaining ** -- ** any rights you may require for your implementation. ** -- ** Xilinx expressly disclaims any warranty whatsoever with ** -- ** respect to the adequacy of the implementation, including ** -- ** but not limited to any warranties or representations that this ** -- ** implementation is free from claims of infringement, implied ** -- ** warranties of merchantability or fitness for a particular ** -- ** purpose. ** -- ** ** -- ** Xilinx products are not intended for use in life support ** -- ** appliances, devices, or systems. Use in such applications is ** -- ** expressly prohibited. ** -- ** ** -- ** Any modifications that are made to the Source Code are ** -- ** done at the user’s sole risk and will be unsupported. ** -- ** The Xilinx Support Hotline does not have access to source ** -- ** code and therefore cannot answer specific questions related ** -- ** to source HDL. The Xilinx Hotline support of original source ** -- ** code IP shall only address issues and questions related ** -- ** to the standard Netlist version of the core (and thus ** -- ** indirectly, the original core source). ** -- ** ** -- ** Copyright (c) 2001-2010 Xilinx, Inc. All rights reserved. ** -- ** ** -- ** This copyright and support notice must be retained as part ** -- ** of this text at all times. ** -- ** ** -- ************************************************************************* -- ------------------------------------------------------------------------------- -- Filename: or_bits.vhd -- -- Description: This file is used to OR together consecutive bits within -- sections of a bus. -- ------------------------------------------------------------------------------- -- Structure: Common use module ------------------------------------------------------------------------------- -- Author: ALS -- History: -- ALS 04/06/01 -- First version -- -- ALS 05/18/01 -- ^^^^^^ -- Added use of carry chain muxes if number of bits is > 4 -- ~~~~~~ -- BLT 05/23/01 -- ^^^^^^ -- Removed pad_4 function, replaced with arithmetic expression -- ~~~~~~ -- -- DET 1/17/2008 v4_0 -- ~~~~~~ -- - Incorporated new disclaimer header -- ^^^^^^ -- ------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinatorial signals: "*_cmb" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port "*_i" -- device pins: "*_pin" -- ports: - Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> ------------------------------------------------------------------------------- library ieee; use ieee.std_logic_1164.all; -- Unisim library contains Xilinx primitives library Unisim; use Unisim.all; ------------------------------------------------------------------------------- -- Port Declaration ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- -- Definition of Generics: -- C_NUM_BITS -- number of bits to OR in bus section -- C_START_BIT -- starting bit location of bits to OR -- C_BUS_SIZE -- total size of the bus -- -- Definition of Ports: -- input In_Bus -- bus containing bits to be ORd -- input Sig -- another signal not in the bus to be ORd with the -- -- bus section -- output Or_out -- OR result -- ------------------------------------------------------------------------------- entity or_bits is generic ( C_NUM_BITS : integer := 8; C_START_BIT : integer := 0; C_BUS_SIZE : integer := 8); port ( In_bus : in std_logic_vector(0 to C_BUS_SIZE-1); Sig : in std_logic; Or_out : out std_logic ); end or_bits; architecture implementation of or_bits is ------------------------------------------------------------------------------- -- Constant Declarations ------------------------------------------------------------------------------- -- Pad the number of bits to OR to the next multiple of 4 constant NUM_BITS_PAD : integer := ((C_NUM_BITS-1)/4+1)*4; ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- -- Signal Declarations ------------------------------------------------------------------------------- -- define output of OR chain ------------------------------------------------------------------------------- -- Component Declarations ------------------------------------------------------------------------------- -- Carry Chain muxes are used to implement OR of 4 bits or more component MUXCY port ( O : out std_logic; CI : in std_logic; DI : in std_logic; S : in std_logic ); end component; begin -- If the number of bits to OR is 4 or less (including Sig), a simple LUT can be used LESSTHAN4_GEN: if C_NUM_BITS < 4 generate -- define output of OR chain signal or_tmp : std_logic_vector(0 to C_NUM_BITS-1) := (others => '0'); begin BIT_LOOP: for i in 0 to C_NUM_BITS-1 generate FIRST: if i = 0 generate or_tmp(i) <= Sig or In_bus(C_START_BIT); end generate FIRST; REST: if i /= 0 generate or_tmp(i) <= or_tmp(i-1) or In_bus(C_START_BIT + i); end generate REST; end generate BIT_LOOP; Or_out <= or_tmp(C_NUM_BITS-1); end generate LESSTHAN4_GEN; -- If the number of bits to OR is 4 or more (including Sig), then use LUTs and -- carry chain. Pad the number of bits to the nearest multiple of 4 MORETHAN4_GEN: if C_NUM_BITS >= 4 generate -- define output of LUTs signal lut_out : std_logic_vector(0 to NUM_BITS_PAD/4-1) := (others => '0'); -- define padded input bus signal in_bus_pad : std_logic_vector(0 to NUM_BITS_PAD-1) := (others => '0'); -- define output of OR chain signal or_tmp : std_logic_vector(0 to NUM_BITS_PAD/4-1) := (others => '0'); begin -- pad input bus in_bus_pad(0 to C_NUM_BITS-1) <= In_bus(C_START_BIT to C_START_BIT+C_NUM_BITS-1); OR_GENERATE: for i in 0 to NUM_BITS_PAD/4-1 generate lut_out(i) <= not( in_bus_pad(i*4) or in_bus_pad(i*4+1) or in_bus_pad(i*4+2) or in_bus_pad(i*4+3) ); FIRST: if i = 0 generate FIRSTMUX_I: MUXCY port map ( O => or_tmp(i), --[out] --CI => '0' , --[in] CI => Sig , --[in] DI => '1' , --[in] S => lut_out(i) --[in] ); end generate FIRST; REST: if i /= 0 generate RESTMUX_I: MUXCY port map ( O => or_tmp(i), --[out] CI => or_tmp(i-1), --[in] DI => '1' , --[in] S => lut_out(i) --[in] ); end generate REST; end generate OR_GENERATE; Or_out <= or_tmp(NUM_BITS_PAD/4-1); end generate MORETHAN4_GEN; end implementation;
mit
HighlandersFRC/fpga
lights_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/proc_common_v4_0/hdl/src/vhdl/family.vhd
15
23047
-- $Header: /devl/xcs/repo/env/Databases/ip2/processor/hardware/proc_common/proc_common_v4_0/hdl/src/vhdl/family.vhd,v 1.1.4.1 2010/09/14 22:35:46 dougt Exp $ ------------------------------------------------------------------------------- -- family.vhd ------------------------------------------------------------------------------- -- -- ************************************************************************* -- ** ** -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This text/file contains proprietary, confidential ** -- ** information of Xilinx, Inc., is distributed under ** -- ** license from Xilinx, Inc., and may be used, copied ** -- ** and/or disclosed only pursuant to the terms of a valid ** -- ** license agreement with Xilinx, Inc. Xilinx hereby ** -- ** grants you a license to use this text/file solely for ** -- ** design, simulation, implementation and creation of ** -- ** design files limited to Xilinx devices or technologies. ** -- ** Use with non-Xilinx devices or technologies is expressly ** -- ** prohibited and immediately terminates your license unless ** -- ** covered by a separate agreement. ** -- ** ** -- ** Xilinx is providing this design, code, or information ** -- ** "as-is" solely for use in developing programs and ** -- ** solutions for Xilinx devices, with no obligation on the ** -- ** part of Xilinx to provide support. By providing this design, ** -- ** code, or information as one possible implementation of ** -- ** this feature, application or standard, Xilinx is making no ** -- ** representation that this implementation is free from any ** -- ** claims of infringement. You are responsible for obtaining ** -- ** any rights you may require for your implementation. ** -- ** Xilinx expressly disclaims any warranty whatsoever with ** -- ** respect to the adequacy of the implementation, including ** -- ** but not limited to any warranties or representations that this ** -- ** implementation is free from claims of infringement, implied ** -- ** warranties of merchantability or fitness for a particular ** -- ** purpose. ** -- ** ** -- ** Xilinx products are not intended for use in life support ** -- ** appliances, devices, or systems. Use in such applications is ** -- ** expressly prohibited. ** -- ** ** -- ** Any modifications that are made to the Source Code are ** -- ** done at the user’s sole risk and will be unsupported. ** -- ** The Xilinx Support Hotline does not have access to source ** -- ** code and therefore cannot answer specific questions related ** -- ** to source HDL. The Xilinx Hotline support of original source ** -- ** code IP shall only address issues and questions related ** -- ** to the standard Netlist version of the core (and thus ** -- ** indirectly, the original core source). ** -- ** ** -- ** Copyright (c) 2003-2010 Xilinx, Inc. All rights reserved. ** -- ** ** -- ** This copyright and support notice must be retained as part ** -- ** of this text at all times. ** -- ** ** -- ************************************************************************* -- ------------------------------------------------------------------------------- -- Filename: family.vhd -- -- Description: -- This HDL file provides various functions for determining features (such -- as BRAM types) in the various device families in Xilinx products. -- -- -- -- VHDL-Standard: VHDL'93 ------------------------------------------------------------------------------- -- Structure: -- family.vhd -- ------------------------------------------------------------------------------- -- Revision history -- -- ??? ?????????? Initial version -- jam 03/31/2003 added spartan3 to constants and derived function. Added -- comments to try and explain how the function is used -- jam 04/01/2003 removed VIRTEX from the derived list for BYZANTIUM, -- VIRTEX2P, and SPARTAN3. This changes VIRTEX2 to be a -- base family type, similar to X4K and VIRTEX -- jam 04/02/2003 add VIRTEX back into the hierarchy of VIRTEX2P, BYZANTIUM -- and SPARTAN3; add additional comments showing use in -- VHDL -- lss 03/24/2004 Added QVIRTEX2, QRVIRTEX2, VIRTEX4 -- flo 03/22/2005 Added SPARTAN3E -- als 02/23/2006 Added VIRTEX5 -- flo 09/13/2006 Added SPARTAN3A and SPARTAN3A. This may allow -- legacy designs to support spartan3a and spartan3an in -- terms of BRAMs. For new work (and maintenence where -- possible) this package, family, should be dropped in favor -- of the package, family_support. -- -- DET 1/17/2008 v4_0 -- ~~~~~~ -- - Changed proc_common library version to v4_0 -- - Incorporated new disclaimer header -- ^^^^^^ -- -------------------------------------------------------------------------------- -- @BEGIN_CHANGELOG EDK_H_SP1 -- Added spartan3e -- @END_CHANGELOG -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- package family is -- constant declarations constant ANY : string := "any"; constant X4K : string := "x4k"; constant X4KE : string := "x4ke"; constant X4KL : string := "x4kl"; constant X4KEX : string := "x4kex"; constant X4KXL : string := "x4kxl"; constant X4KXV : string := "x4kxv"; constant X4KXLA : string := "x4kxla"; constant SPARTAN : string := "spartan"; constant SPARTANXL : string := "spartanxl"; constant SPARTAN2 : string := "spartan2"; constant SPARTAN2E : string := "spartan2e"; constant VIRTEX : string := "virtex"; constant VIRTEXE : string := "virtexe"; constant VIRTEX2 : string := "virtex2"; constant VIRTEX2P : string := "virtex2p"; constant BYZANTIUM : string := "byzantium"; constant SPARTAN3 : string := "spartan3"; constant QRVIRTEX2 : string := "qrvirtex2"; constant QVIRTEX2 : string := "qvirtex2"; constant VIRTEX4 : string := "virtex4"; constant VIRTEX5 : string := "virtex5"; constant SPARTAN3E : string := "spartan3e"; constant SPARTAN3A : string := "spartan3a"; constant SPARTAN3AN: string := "spartan3an"; -- function declarations -- derived - provides a means to determine if a family specified in child is -- the same as, or is a super set of, the family specified in -- ancestor. -- -- Typically, child is set to the generic specifying the family type -- the user wishes to implement the design into (C_FAMILY), and the -- designer hard codes ancestor to the family type supported by the -- design. If the design supports multiple family types, then each -- of those family types would need to be tested against C_FAMILY -- using this function. An example for the VIRTEX2P hierarchy -- is shown below: -- -- VIRTEX2P_SPECIFIC_LOGIC_GEN: -- if derived(C_FAMILY,VIRTEX2P) -- generate -- -- logic specific to Virtex2P family -- end generate VIRTEX2P_SPECIFIC_LOGIC_GEN; -- -- NON_VIRTEX2P_SPECIFIC_LOGIC_GEN: -- if not derived(C_FAMILY,VIRTEX2P) -- generate -- -- VIRTEX2_SPECIFIC_LOGIC_GEN: -- if derived(C_FAMILY,VIRTEX2) -- generate -- -- logic specific to Virtex2 family -- end generate VIRTEX2_SPECIFIC_LOGIC_GEN; -- -- NON_VIRTEX2_SPECIFIC_LOGIC_GEN -- if not derived(C_FAMILY,VIRTEX2) -- generate -- -- VIRTEX_SPECIFIC_LOGIC_GEN: -- if derived(C_FAMILY,VIRTEX) -- generate -- -- logic specific to Virtex family -- end generate VIRTEX_SPECIFIC_LOGIC_GEN; -- -- NON_VIRTEX_SPECIFIC_LOGIC_GEN; -- if not derived(C_FAMILY,VIRTEX) -- generate -- -- ANY_FAMILY_TYPE_LOGIC_GEN: -- if derived(C_FAMILY,ANY) -- generate -- -- logic not specific to any family -- end generate ANY_FAMILY_TYPE_LOGIC_GEN; -- -- end generate NON_VIRTEX_SPECIFIC_LOGIC_GEN; -- -- end generate NON_VIRTEX2_SPECIFIC_LOGIC_GEN; -- -- end generate NON_VIRTEX2P_SPECIFIC_LOGIC_GEN; -- -- This function will return TRUE if the family type specified in -- child is equal to, or a super set of, the family type specified in -- ancestor, otherwise it returns FALSE. -- -- The current super sets are defined by the following list, where -- all family types listed to the right of an item are contained in -- the super set of that item, for all lines containing that item. -- -- ANY, X4K, SPARTAN, SPARTANXL -- ANY, X4K, X4KE, X4KL -- ANY, X4K, X4KEX, X4KXL, X4KXV, X4KXLA -- ANY, VIRTEX, SPARTAN2, SPARTAN2E -- ANY, VIRTEX, VIRTEXE -- ANY, VIRTEX, VIRTEX2, BYZANTIUM -- ANY, VIRTEX, VIRTEX2, VIRTEX2P -- ANY, VIRTEX, VIRTEX2, SPARTAN3 -- -- For exampel, all other family types are contained in the super set -- for ANY. Stated another way, if the designer specifies ANY -- for the family type the design supports, then the function will -- return TRUE for any family type the user wishes to implement the -- design into. -- -- if derived(C_FAMILY,ANY) generate ... end generate; -- -- If the designer specifies VIRTEX2 as the family type supported by -- the design, then the function will only return TRUE if the user -- intends to implement the design in VIRTEX2, VIRTEX2P, BYZANTIUM, -- or SPARTAN3. -- -- if derived(C_FAMILY,VIRTEX2) generate -- -- logic that uses VIRTEX2 BRAMs -- end generate; -- -- if not derived(C_FAMILY,VIRTEX2) generate -- -- logic that uses non VIRTEX2 BRAMs -- end generate; -- -- Note: -- The last three lines of the list above were modified from the -- original to remove VIRTEX from those lines because, from our point -- of view, VIRTEX2 is different enough from VIRTEX to conclude that -- it should be its own base family type. -- -- ************************************************************************** -- WARNING -- ************************************************************************** -- DO NOT RELY ON THE DERIVED FUNCTION TO PROVIDE DIFFERENTIATION BETWEEN -- FAMILY TYPES FOR ANYTHING OTHER THAN BRAMS -- -- Use of the derived function assumes that the designer is not using -- RLOCs (RLOC'd FIFO's from Coregen, etc.) and that the BRAMs in the -- derived families are similar. If the designer is using specific -- elements of a family type, they are responsible for ensuring that -- those same elements are available in all family types supported by -- their design, and that the elements function exactly the same in all -- "similar" families. -- -- ************************************************************************** -- function derived ( child, ancestor : string ) return boolean; -- equalIgnoreCase - Returns TRUE if case insensitive string comparison -- determines that str1 and str2 are equal, otherwise FALSE function equalIgnoreCase( str1, str2 : string ) return boolean; -- toLowerCaseChar - Returns the lower case form of char if char is an upper -- case letter. Otherwise char is returned. function toLowerCaseChar( char : character ) return character; end family; package body family is -- True if architecture "child" is derived from, or equal to, -- the architecture "ancestor". -- ANY, X4K, SPARTAN, SPARTANXL -- ANY, X4K, X4KE, X4KL -- ANY, X4K, X4KEX, X4KXL, X4KXV, X4KXLA -- ANY, VIRTEX, SPARTAN2, SPARTAN2E -- ANY, VIRTEX, VIRTEXE -- ANY, VIRTEX, VIRTEX2, BYZANTIUM -- ANY, VIRTEX, VIRTEX2, VIRTEX2P -- ANY, VIRTEX, VIRTEX2, SPARTAN3 function derived ( child, ancestor : string ) return boolean is variable is_derived : boolean := FALSE; begin if equalIgnoreCase( child, VIRTEX ) then -- base family type if ( equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, VIRTEX2 ) then if ( equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, QRVIRTEX2 ) then if ( equalIgnoreCase(ancestor,QRVIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, QVIRTEX2 ) then if ( equalIgnoreCase(ancestor,QVIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, VIRTEX5 ) then if ( equalIgnoreCase(ancestor,VIRTEX5) OR equalIgnoreCase(ancestor,VIRTEX4) OR equalIgnoreCase(ancestor,VIRTEX2P) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, VIRTEX4 ) then if ( equalIgnoreCase(ancestor,VIRTEX4) OR equalIgnoreCase(ancestor,VIRTEX2P) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, VIRTEX2P ) then if ( equalIgnoreCase(ancestor,VIRTEX2P) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, BYZANTIUM ) then if ( equalIgnoreCase(ancestor,BYZANTIUM) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, VIRTEXE ) then if ( equalIgnoreCase(ancestor,VIRTEXE) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, SPARTAN2 ) then if ( equalIgnoreCase(ancestor,SPARTAN2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, SPARTAN2E ) then if ( equalIgnoreCase(ancestor,SPARTAN2E) OR equalIgnoreCase(ancestor,SPARTAN2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, SPARTAN3 ) then if ( equalIgnoreCase(ancestor,SPARTAN3) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, SPARTAN3E ) then if ( equalIgnoreCase(ancestor,SPARTAN3E) OR equalIgnoreCase(ancestor,SPARTAN3) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, SPARTAN3A ) then if ( equalIgnoreCase(ancestor,SPARTAN3A) OR equalIgnoreCase(ancestor,SPARTAN3E) OR equalIgnoreCase(ancestor,SPARTAN3) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, SPARTAN3AN ) then if ( equalIgnoreCase(ancestor,SPARTAN3AN) OR equalIgnoreCase(ancestor,SPARTAN3E) OR equalIgnoreCase(ancestor,SPARTAN3) OR equalIgnoreCase(ancestor,VIRTEX2) OR equalIgnoreCase(ancestor,VIRTEX) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, X4K ) then -- base family type if ( equalIgnoreCase(ancestor,X4K) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, X4KEX ) then if ( equalIgnoreCase(ancestor,X4KEX) OR equalIgnoreCase(ancestor,X4K) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, X4KXL ) then if ( equalIgnoreCase(ancestor,X4KXL) OR equalIgnoreCase(ancestor,X4KEX) OR equalIgnoreCase(ancestor,X4K) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, X4KXV ) then if ( equalIgnoreCase(ancestor,X4KXV) OR equalIgnoreCase(ancestor,X4KXL) OR equalIgnoreCase(ancestor,X4KEX) OR equalIgnoreCase(ancestor,X4K) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, X4KXLA ) then if ( equalIgnoreCase(ancestor,X4KXLA) OR equalIgnoreCase(ancestor,X4KXV) OR equalIgnoreCase(ancestor,X4KXL) OR equalIgnoreCase(ancestor,X4KEX) OR equalIgnoreCase(ancestor,X4K) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, X4KE ) then if ( equalIgnoreCase(ancestor,X4KE) OR equalIgnoreCase(ancestor,X4K) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, X4KL ) then if ( equalIgnoreCase(ancestor,X4KL) OR equalIgnoreCase(ancestor,X4KE) OR equalIgnoreCase(ancestor,X4K) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, SPARTAN ) then if ( equalIgnoreCase(ancestor,SPARTAN) OR equalIgnoreCase(ancestor,X4K) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, SPARTANXL ) then if ( equalIgnoreCase(ancestor,SPARTANXL) OR equalIgnoreCase(ancestor,SPARTAN) OR equalIgnoreCase(ancestor,X4K) OR equalIgnoreCase(ancestor,ANY) ) then is_derived := TRUE; end if; elsif equalIgnoreCase( child, ANY ) then if equalIgnoreCase( ancestor, any ) then is_derived := TRUE; end if; end if; return is_derived; end derived; -- Returns the lower case form of char if char is an upper case letter. -- Otherwise char is returned. function toLowerCaseChar( char : character ) return character is begin -- If char is not an upper case letter then return char if char < 'A' OR char > 'Z' then return char; end if; -- Otherwise map char to its corresponding lower case character and -- return that case char is when 'A' => return 'a'; when 'B' => return 'b'; when 'C' => return 'c'; when 'D' => return 'd'; when 'E' => return 'e'; when 'F' => return 'f'; when 'G' => return 'g'; when 'H' => return 'h'; when 'I' => return 'i'; when 'J' => return 'j'; when 'K' => return 'k'; when 'L' => return 'l'; when 'M' => return 'm'; when 'N' => return 'n'; when 'O' => return 'o'; when 'P' => return 'p'; when 'Q' => return 'q'; when 'R' => return 'r'; when 'S' => return 's'; when 'T' => return 't'; when 'U' => return 'u'; when 'V' => return 'v'; when 'W' => return 'w'; when 'X' => return 'x'; when 'Y' => return 'y'; when 'Z' => return 'z'; when others => return char; end case; end toLowerCaseChar; -- Returns true if case insensitive string comparison determines that -- str1 and str2 are equal function equalIgnoreCase( str1, str2 : string ) return boolean is constant LEN1 : integer := str1'length; constant LEN2 : integer := str2'length; variable equal : boolean := TRUE; begin if not (LEN1 = LEN2) then equal := FALSE; else for i in str1'range loop if not (toLowerCaseChar(str1(i)) = toLowerCaseChar(str2(i))) then equal := FALSE; end if; end loop; end if; return equal; end equalIgnoreCase; end family;
mit
HighlandersFRC/fpga
oled_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_proc_sys_reset_1_0/proc_common_v4_0/hdl/src/vhdl/valid_be.vhd
15
9917
--SINGLE_FILE_TAG ------------------------------------------------------------------------------- -- $Id: valid_be.vhd,v 1.1.4.1 2010/09/14 22:35:47 dougt Exp $ ------------------------------------------------------------------------------- -- valid_be - entity/architecture pair ------------------------------------------------------------------------------- -- -- ************************************************************************* -- ** ** -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This text/file contains proprietary, confidential ** -- ** information of Xilinx, Inc., is distributed under ** -- ** license from Xilinx, Inc., and may be used, copied ** -- ** and/or disclosed only pursuant to the terms of a valid ** -- ** license agreement with Xilinx, Inc. Xilinx hereby ** -- ** grants you a license to use this text/file solely for ** -- ** design, simulation, implementation and creation of ** -- ** design files limited to Xilinx devices or technologies. ** -- ** Use with non-Xilinx devices or technologies is expressly ** -- ** prohibited and immediately terminates your license unless ** -- ** covered by a separate agreement. ** -- ** ** -- ** Xilinx is providing this design, code, or information ** -- ** "as-is" solely for use in developing programs and ** -- ** solutions for Xilinx devices, with no obligation on the ** -- ** part of Xilinx to provide support. By providing this design, ** -- ** code, or information as one possible implementation of ** -- ** this feature, application or standard, Xilinx is making no ** -- ** representation that this implementation is free from any ** -- ** claims of infringement. You are responsible for obtaining ** -- ** any rights you may require for your implementation. ** -- ** Xilinx expressly disclaims any warranty whatsoever with ** -- ** respect to the adequacy of the implementation, including ** -- ** but not limited to any warranties or representations that this ** -- ** implementation is free from claims of infringement, implied ** -- ** warranties of merchantability or fitness for a particular ** -- ** purpose. ** -- ** ** -- ** Xilinx products are not intended for use in life support ** -- ** appliances, devices, or systems. Use in such applications is ** -- ** expressly prohibited. ** -- ** ** -- ** Any modifications that are made to the Source Code are ** -- ** done at the user’s sole risk and will be unsupported. ** -- ** The Xilinx Support Hotline does not have access to source ** -- ** code and therefore cannot answer specific questions related ** -- ** to source HDL. The Xilinx Hotline support of original source ** -- ** code IP shall only address issues and questions related ** -- ** to the standard Netlist version of the core (and thus ** -- ** indirectly, the original core source). ** -- ** ** -- ** Copyright (c) 2001-2010 Xilinx, Inc. All rights reserved. ** -- ** ** -- ** This copyright and support notice must be retained as part ** -- ** of this text at all times. ** -- ** ** -- ************************************************************************* -- ------------------------------------------------------------------------------- -- Filename: valid_be.vhd -- Version: v1.00a -- Description: Determines valid OPB access for memory devices -- ------------------------------------------------------------------------------- -- Structure: -- -- valid_be.vhd ------------------------------------------------------------------------------- -- Author: BLT -- History: -- ALS 09/21/01 -- First version -- ^^^^^^ -- First version of valid_be created from BLT's file, valid_access. Made -- modifications to support a target data bus width and a host data bus -- width. -- ~~~~~~ -- -- DET 1/17/2008 v4_0 -- ~~~~~~ -- - Changed proc_common library version to v4_0 -- - Incorporated new disclaimer header -- ^^^^^^ -- ------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinatorial signals: "*_cmb" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port "*_i" -- device pins: "*_pin" -- ports: - Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> ------------------------------------------------------------------------------- library IEEE; use IEEE.std_logic_1164.all; use IEEE.std_logic_arith.all; use IEEE.std_logic_signed.all; library proc_common_v4_0; use proc_common_v4_0.proc_common_pkg.all; ------------------------------------------------------------------------------- -- Port declarations ------------------------------------------------------------------------------- entity valid_be is generic ( C_HOST_DW : integer range 8 to 256 := 32; C_TARGET_DW : integer range 8 to 32 := 32 ); port ( OPB_BE_Reg : in std_logic_vector(0 to C_HOST_DW/8-1); Valid : out std_logic ); end entity valid_be; architecture implementation of valid_be is ------------------------------------------------------------------------------- -- Constant Declarations ------------------------------------------------------------------------------- constant HOST_LOGVAL : integer := log2(C_HOST_DW/8); -- log value for host bus constant TAR_LOGVAL : integer := log2(C_TARGET_DW/8); -- log value for target bus ------------------------------------------------------------------------------- -- Begin architecture ------------------------------------------------------------------------------- begin ------------------------------------------------------------------------------- -- VALID_ACCESS_PROCESS: this is a general purpose process that returns -- whether or not a particular byte enable code is valid for a particular host -- bus size and target bus size. The byte enable bus can be up to 32 bits wide, -- supporting host bus widths up to 256 bits. -- -- Example: -- HOST BUS SIZE(OPB) TARGET BUS SIZE (SRAM) Valid BE -- ----------------- ---------------------- -------- -- 8 8 '1' -- 16 8 "01" -- "10" -- 16 16 "01" -- "10" -- "11" -- 32 8 "0001" -- "0010" -- "0100" -- "1000" -- 32 16 "0001" -- "0010" -- "0100" -- "1000" -- "0011" -- "1100" -- 32 32 "0001" -- "0010" -- "0100" -- "1000" -- "0011" -- "1100" -- "1111" ------------------------------------------------------------------------------- VALID_ACCESS_PROCESS: process (OPB_BE_Reg) is variable compare_Val : integer := 0; begin Valid <= '0'; for i in 0 to TAR_LOGVAL loop -- loop for bits in target data bus compare_Val := pwr(2,pwr(2,i))-1; for j in 0 to pwr(2,HOST_LOGVAL-i) loop if Conv_integer('0' & OPB_BE_Reg) = compare_Val then Valid <= '1'; end if; compare_Val := compare_Val*pwr(2,pwr(2,i)); end loop; end loop; end process VALID_ACCESS_PROCESS; end architecture implementation;
mit
HighlandersFRC/fpga
lights_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_proc_sys_reset_1_0/proc_sys_reset_v5_0/hdl/src/vhdl/proc_sys_reset.vhd
30
22280
------------------------------------------------------------------------------- -- proc_sys_reset - entity/architecture pair ------------------------------------------------------------------------------- -- -- ************************************************************************ -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This file contains proprietary and confidential information of ** -- ** Xilinx, Inc. ("Xilinx"), that is distributed under a license ** -- ** from Xilinx, and may be used, copied and/or disclosed only ** -- ** pursuant to the terms of a valid license agreement with Xilinx. ** -- ** ** -- ** XILINX IS PROVIDING THIS DESIGN, CODE, OR INFORMATION ** -- ** ("MATERIALS") "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER ** -- ** EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING WITHOUT ** -- ** LIMITATION, ANY WARRANTY WITH RESPECT TO NONINFRINGEMENT, ** -- ** MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE. Xilinx ** -- ** does not warrant that functions included in the Materials will ** -- ** meet the requirements of Licensee, or that the operation of the ** -- ** Materials will be uninterrupted or error-free, or that defects ** -- ** in the Materials will be corrected. Furthermore, Xilinx does ** -- ** not warrant or make any representations regarding use, or the ** -- ** results of the use, of the Materials in terms of correctness, ** -- ** accuracy, reliability or otherwise. ** -- ** ** -- ** Xilinx products are not designed or intended to be fail-safe, ** -- ** or for use in any application requiring fail-safe performance, ** -- ** such as life-support or safety devices or systems, Class III ** -- ** medical devices, nuclear facilities, applications related to ** -- ** the deployment of airbags, or any other applications that could ** -- ** lead to death, personal injury or severe property or ** -- ** environmental damage (individually and collectively, "critical ** -- ** applications"). Customer assumes the sole risk and liability ** -- ** of any use of Xilinx products in critical applications, ** -- ** subject only to applicable laws and regulations governing ** -- ** limitations on product liability. ** -- ** ** -- ** Copyright 2012 Xilinx, Inc. ** -- ** All rights reserved. ** -- ** ** -- ** This disclaimer and copyright notice must be retained as part ** -- ** of this file at all times. ** -- ************************************************************************ -- ------------------------------------------------------------------------------- -- Filename: proc_sys_reset.vhd -- Version: v4.00a -- Description: Parameterizeable top level processor reset module. -- VHDL-Standard: VHDL'93 ------------------------------------------------------------------------------- -- Structure: This section should show the hierarchical structure of the -- designs.Separate lines with blank lines if necessary to improve -- readability. -- -- proc_sys_reset.vhd -- upcnt_n.vhd -- lpf.vhd -- sequence.vhd ------------------------------------------------------------------------------- -- Author: rolandp -- History: -- kc 11/07/01 -- First version -- -- kc 02/25/2002 -- Changed generic names C_EXT_RST_ACTIVE to -- C_EXT_RESET_HIGH and C_AUX_RST_ACTIVE to -- C_AUX_RESET_HIGH to match generics used in -- MicroBlaze. Added the DCM Lock as an input -- to keep reset active until after the Lock -- is valid. -- lcw 10/11/2004 -- Updated for NCSim -- Ravi 09/14/2006 -- Added Attributes for synthesis -- rolandp 04/16/2007 -- version 2.00a -- ~~~~~~~ -- SK 03/11/10 -- ^^^^^^^ -- 1. Updated the core so support the active low "Interconnect_aresetn" and -- "Peripheral_aresetn" signals. -- ^^^^^^^ -- ~~~~~~~ -- SK 05/12/11 -- ^^^^^^^ -- 1. Updated the core so remove the support for PPC related functionality. -- ^^^^^^^ ------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinatorial signals: "*_cmb" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port "*_i" -- device pins: "*_pin" -- ports: - Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> ------------------------------------------------------------------------------- library ieee; use ieee.std_logic_1164.all; library unisim; use unisim.vcomponents.all; library proc_sys_reset_v5_0; use proc_sys_reset_v5_0.all; ------------------------------------------------------------------------------- -- Port Declaration ------------------------------------------------------------------------------- -- Definition of Generics: -- C_EXT_RST_WIDTH -- External Reset Low Pass Filter setting -- C_AUX_RST_WIDTH -- Auxiliary Reset Low Pass Filter setting -- C_EXT_RESET_HIGH -- External Reset Active High or Active Low -- C_AUX_RESET_HIGH -= Auxiliary Reset Active High or Active Low -- C_NUM_BUS_RST -- Number of Bus Structures reset to generate -- C_NUM_PERP_RST -- Number of Peripheral resets to generate -- -- C_NUM_INTERCONNECT_ARESETN -- No. of Active low reset to interconnect -- C_NUM_PERP_ARESETN -- No. of Active low reset to peripheral -- Definition of Ports: -- slowest_sync_clk -- Clock -- ext_reset_in -- External Reset Input -- aux_reset_in -- Auxiliary Reset Input -- mb_debug_sys_rst -- MDM Reset Input -- dcm_locked -- DCM Locked, hold system in reset until 1 -- mb_reset -- MB core reset out -- bus_struct_reset -- Bus structure reset out -- peripheral_reset -- Peripheral reset out -- interconnect_aresetn -- Interconnect Bus structure registered rst out -- peripheral_aresetn -- Active Low Peripheral registered reset out ------------------------------------------------------------------------------- entity proc_sys_reset is generic ( C_FAMILY : string := "virtex7"; C_EXT_RST_WIDTH : integer := 4; C_AUX_RST_WIDTH : integer := 4; C_EXT_RESET_HIGH : std_logic := '0'; -- High active input C_AUX_RESET_HIGH : std_logic := '1'; -- High active input C_NUM_BUS_RST : integer := 1; C_NUM_PERP_RST : integer := 1; C_NUM_INTERCONNECT_ARESETN : integer := 1; -- 3/15/2010 C_NUM_PERP_ARESETN : integer := 1 -- 3/15/2010 ); port ( slowest_sync_clk : in std_logic; ext_reset_in : in std_logic; aux_reset_in : in std_logic; -- from MDM mb_debug_sys_rst : in std_logic; -- DCM locked information dcm_locked : in std_logic := '1'; -- -- from PPC -- Core_Reset_Req_0 : in std_logic; -- Chip_Reset_Req_0 : in std_logic; -- System_Reset_Req_0 : in std_logic; -- Core_Reset_Req_1 : in std_logic; -- Chip_Reset_Req_1 : in std_logic; -- System_Reset_Req_1 : in std_logic; -- RstcPPCresetcore_0 : out std_logic := '0'; -- RstcPPCresetchip_0 : out std_logic := '0'; -- RstcPPCresetsys_0 : out std_logic := '0'; -- RstcPPCresetcore_1 : out std_logic := '0'; -- RstcPPCresetchip_1 : out std_logic := '0'; -- RstcPPCresetsys_1 : out std_logic := '0'; -- to Microblaze active high reset mb_reset : out std_logic := '0'; -- active high resets bus_struct_reset : out std_logic_vector(0 to C_NUM_BUS_RST - 1) := (others => '0'); peripheral_reset : out std_logic_vector(0 to C_NUM_PERP_RST - 1) := (others => '0'); -- active low resets interconnect_aresetn : out std_logic_vector(0 to (C_NUM_INTERCONNECT_ARESETN-1)) := (others => '1'); peripheral_aresetn : out std_logic_vector(0 to (C_NUM_PERP_ARESETN-1)) := (others => '1') ); end entity proc_sys_reset; ------------------------------------------------------------------------------- -- Architecture ------------------------------------------------------------------------------- architecture imp of proc_sys_reset is ------------------------------------------------------------------------------- -- Constant Declarations ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- -- Signal and Type Declarations -- signal Core_Reset_Req_0_d1 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_0_d2 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_0_d3 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_1_d1 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_1_d2 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_1_d3 : std_logic := '0'; -- delayed Core_Reset_Req signal core_cnt_en_0 : std_logic := '0'; -- Core_Reset_Req_0 counter enable signal core_cnt_en_1 : std_logic := '0'; -- Core_Reset_Req_1 counter enable signal core_req_edge_0 : std_logic := '1'; -- Rising edge of Core_Reset_Req_0 signal core_req_edge_1 : std_logic := '1'; -- Rising edge of Core_Reset_Req_1 signal core_cnt_0 : std_logic_vector(3 downto 0); -- core counter output signal core_cnt_1 : std_logic_vector(3 downto 0); -- core counter output signal lpf_reset : std_logic; -- Low pass filtered ext or aux --signal Chip_Reset_Req : std_logic := '0'; --signal System_Reset_Req : std_logic := '0'; signal Bsr_out : std_logic; signal Pr_out : std_logic; -- signal Core_out : std_logic; -- signal Chip_out : std_logic; -- signal Sys_out : std_logic; signal MB_out : std_logic; ------------------------------------------------------------------------------- -- Attributes to synthesis ------------------------------------------------------------------------------- attribute equivalent_register_removal: string; attribute equivalent_register_removal of bus_struct_reset : signal is "no"; attribute equivalent_register_removal of peripheral_reset : signal is "no"; attribute equivalent_register_removal of interconnect_aresetn : signal is "no"; attribute equivalent_register_removal of peripheral_aresetn : signal is "no"; begin ------------------------------------------------------------------------------- -- --------------------- -- -- MB_RESET_HIGH_GEN: Generate active high reset for Micro-Blaze -- --------------------- -- MB_RESET_HIGH_GEN: if C_INT_RESET_HIGH = 1 generate -- begin MB_Reset_PROCESS: process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then mb_reset <= MB_out; end if; end process; -- ---------------------------------------------------------------------------- -- -- This For-generate creates D-Flip Flops for the Bus_Struct_Reset output(s) -- ---------------------------------------------------------------------------- BSR_OUT_DFF: for i in 0 to (C_NUM_BUS_RST-1) generate BSR_DFF : process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then bus_struct_reset(i) <= Bsr_out; end if; end process; end generate BSR_OUT_DFF; -- --------------------------------------------------------------------------- -- This For-generate creates D-Flip Flops for the Interconnect_aresetn op(s) -- --------------------------------------------------------------------------- ACTIVE_LOW_BSR_OUT_DFF: for i in 0 to (C_NUM_INTERCONNECT_ARESETN-1) generate BSR_DFF : process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then interconnect_aresetn(i) <= not (Bsr_out); end if; end process; end generate ACTIVE_LOW_BSR_OUT_DFF; ------------------------------------------------------------------------------- -- ---------------------------------------------------------------------------- -- -- This For-generate creates D-Flip Flops for the Peripheral_Reset output(s) -- ---------------------------------------------------------------------------- PR_OUT_DFF: for i in 0 to (C_NUM_PERP_RST-1) generate PR_DFF : process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then peripheral_reset(i) <= Pr_out; end if; end process; end generate PR_OUT_DFF; -- ---------------------------------------------------------------------------- -- This For-generate creates D-Flip Flops for the Peripheral_aresetn op(s) -- ---------------------------------------------------------------------------- ACTIVE_LOW_PR_OUT_DFF: for i in 0 to (C_NUM_PERP_ARESETN-1) generate ACTIVE_LOW_PR_DFF : process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then peripheral_aresetn(i) <= not(Pr_out); end if; end process; end generate ACTIVE_LOW_PR_OUT_DFF; ------------------------------------------------------------------------------- -- This process defines the RstcPPCreset and MB_Reset outputs ------------------------------------------------------------------------------- -- Rstc_output_PROCESS_0: process (Slowest_sync_clk) -- begin -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- RstcPPCresetcore_0 <= not (core_cnt_0(3) and core_cnt_0(2) and -- core_cnt_0(1) and core_cnt_0(0)) -- or Core_out; -- RstcPPCresetchip_0 <= Chip_out; -- RstcPPCresetsys_0 <= Sys_out; -- end if; -- end process; -- Rstc_output_PROCESS_1: process (Slowest_sync_clk) -- begin -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- RstcPPCresetcore_1 <= not (core_cnt_1(3) and core_cnt_1(2) and -- core_cnt_1(1) and core_cnt_1(0)) -- or Core_out; -- RstcPPCresetchip_1 <= Chip_out; -- RstcPPCresetsys_1 <= Sys_out; -- end if; -- end process; ------------------------------------------------------------------------------- --------------------------------------------------------------------------------- ---- This process delays signals so the the edge can be detected and used ---- Double register to sync up with slowest_sync_clk --------------------------------------------------------------------------------- -- DELAY_PROCESS_0: process (Slowest_sync_clk) -- begin -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- core_reset_req_0_d1 <= Core_Reset_Req_0; -- core_reset_req_0_d2 <= core_reset_req_0_d1; -- core_reset_req_0_d3 <= core_reset_req_0_d2; -- end if; -- end process; -- -- DELAY_PROCESS_1: process (Slowest_sync_clk) -- begin -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- core_reset_req_1_d1 <= Core_Reset_Req_1; -- core_reset_req_1_d2 <= core_reset_req_1_d1; -- core_reset_req_1_d3 <= core_reset_req_1_d2; -- end if; -- end process; -- ** -- ------------------------------------------------------------------------------- -- ** -- -- This instantiates a counter to ensure the Core_Reset_Req_* will genereate a -- ** -- -- RstcPPCresetcore_* that is a mimimum of 15 clocks -- ** -- ------------------------------------------------------------------------------- -- ** -- CORE_RESET_0 : entity proc_sys_reset_v5_0.UPCNT_N -- ** -- generic map (C_SIZE => 4) -- ** -- port map( -- ** -- Data => "0000", -- in STD_LOGIC_VECTOR (C_SIZE-1 downto 0); -- ** -- Cnt_en => core_cnt_en_0, -- in STD_LOGIC; -- ** -- Load => '0', -- in STD_LOGIC; -- ** -- Clr => core_req_edge_0, -- in STD_LOGIC; -- ** -- Clk => Slowest_sync_clk, -- in STD_LOGIC; -- ** -- Qout => core_cnt_0 -- out STD_LOGIC_VECTOR (C_SIZE-1 downto 0) -- ** -- ); -- ** -- -- ** -- CORE_RESET_1 : entity proc_sys_reset_v5_0.UPCNT_N -- ** -- generic map (C_SIZE => 4) -- ** -- port map( -- ** -- Data => "0000", -- in STD_LOGIC_VECTOR (C_SIZE-1 downto 0); -- ** -- Cnt_en => core_cnt_en_1, -- in STD_LOGIC; -- ** -- Load => '0', -- in STD_LOGIC; -- ** -- Clr => core_req_edge_1, -- in STD_LOGIC; -- ** -- Clk => Slowest_sync_clk, -- in STD_LOGIC; -- ** -- Qout => core_cnt_1 -- out STD_LOGIC_VECTOR (C_SIZE-1 downto 0) -- ** -- ); -- ** -- -- ** -- ------------------------------------------------------------------------------- -- ** -- -- CORE_RESET_PROCESS -- ** -- ------------------------------------------------------------------------------- -- ** -- -- This generates the reset pulse and the count enable to core reset counter -- ** -- -- -- ** -- CORE_RESET_PROCESS_0: process (Slowest_sync_clk) -- ** -- begin -- ** -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- ** -- core_cnt_en_0 <= not (core_cnt_0(3) and core_cnt_0(2) and core_cnt_0(1)); -- ** -- --or not core_req_edge_0; -- ** -- --core_req_edge_0 <= not(Core_Reset_Req_0_d2 and not Core_Reset_Req_0_d3); -- ** -- end if; -- ** -- end process; -- ** -- -- ** -- CORE_RESET_PROCESS_1: process (Slowest_sync_clk) -- ** -- begin -- ** -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- ** -- core_cnt_en_1 <= not (core_cnt_1(3) and core_cnt_1(2) and core_cnt_1(1)); -- ** -- --or not core_req_edge_1; -- ** -- --core_req_edge_1 <= not(Core_Reset_Req_1_d2 and not Core_Reset_Req_1_d3); -- ** -- end if; -- ** -- end process; ------------------------------------------------------------------------------- -- This instantiates a low pass filter to filter both External and Auxiliary -- Reset Inputs. ------------------------------------------------------------------------------- EXT_LPF : entity proc_sys_reset_v5_0.LPF generic map ( C_EXT_RST_WIDTH => C_EXT_RST_WIDTH, C_AUX_RST_WIDTH => C_AUX_RST_WIDTH, C_EXT_RESET_HIGH => C_EXT_RESET_HIGH, C_AUX_RESET_HIGH => C_AUX_RESET_HIGH ) port map( MB_Debug_Sys_Rst => mb_debug_sys_rst, -- in std_logic Dcm_locked => dcm_locked, -- in std_logic External_System_Reset => ext_reset_in, -- in std_logic Auxiliary_System_Reset => aux_reset_in, -- in std_logic Slowest_Sync_Clk => slowest_sync_clk, -- in std_logic Lpf_reset => lpf_reset -- out std_logic ); ------------------------------------------------------------------------------- -- This instantiates the sequencer -- This controls the time between resets becoming inactive ------------------------------------------------------------------------------- -- System_Reset_Req <= System_Reset_Req_0 or System_Reset_Req_1; -- Chip_Reset_Req <= Chip_Reset_Req_0 or Chip_Reset_Req_1; SEQ : entity proc_sys_reset_v5_0.SEQUENCE --generic map ( -- C_EXT_RESET_HIGH_1 => C_EXT_RESET_HIGH --) port map( Lpf_reset => lpf_reset, -- in std_logic --System_Reset_Req => '0', -- System_Reset_Req, -- in std_logic --Chip_Reset_Req => '0', -- Chip_Reset_Req, -- in std_logic Slowest_Sync_Clk => slowest_sync_clk, -- in std_logic Bsr_out => Bsr_out, -- out std_logic Pr_out => Pr_out, -- out std_logic --Core_out => open, -- Core_out, -- out std_logic --Chip_out => open, -- Chip_out, -- out std_logic --Sys_out => open, -- Sys_out, -- out std_logic MB_out => MB_out); -- out std_logic end imp; --END_SINGLE_FILE_TAG
mit
HighlandersFRC/fpga
led_string_no_gpio/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_proc_sys_reset_1_0/proc_sys_reset_v5_0/hdl/src/vhdl/proc_sys_reset.vhd
30
22280
------------------------------------------------------------------------------- -- proc_sys_reset - entity/architecture pair ------------------------------------------------------------------------------- -- -- ************************************************************************ -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This file contains proprietary and confidential information of ** -- ** Xilinx, Inc. ("Xilinx"), that is distributed under a license ** -- ** from Xilinx, and may be used, copied and/or disclosed only ** -- ** pursuant to the terms of a valid license agreement with Xilinx. ** -- ** ** -- ** XILINX IS PROVIDING THIS DESIGN, CODE, OR INFORMATION ** -- ** ("MATERIALS") "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER ** -- ** EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING WITHOUT ** -- ** LIMITATION, ANY WARRANTY WITH RESPECT TO NONINFRINGEMENT, ** -- ** MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE. Xilinx ** -- ** does not warrant that functions included in the Materials will ** -- ** meet the requirements of Licensee, or that the operation of the ** -- ** Materials will be uninterrupted or error-free, or that defects ** -- ** in the Materials will be corrected. Furthermore, Xilinx does ** -- ** not warrant or make any representations regarding use, or the ** -- ** results of the use, of the Materials in terms of correctness, ** -- ** accuracy, reliability or otherwise. ** -- ** ** -- ** Xilinx products are not designed or intended to be fail-safe, ** -- ** or for use in any application requiring fail-safe performance, ** -- ** such as life-support or safety devices or systems, Class III ** -- ** medical devices, nuclear facilities, applications related to ** -- ** the deployment of airbags, or any other applications that could ** -- ** lead to death, personal injury or severe property or ** -- ** environmental damage (individually and collectively, "critical ** -- ** applications"). Customer assumes the sole risk and liability ** -- ** of any use of Xilinx products in critical applications, ** -- ** subject only to applicable laws and regulations governing ** -- ** limitations on product liability. ** -- ** ** -- ** Copyright 2012 Xilinx, Inc. ** -- ** All rights reserved. ** -- ** ** -- ** This disclaimer and copyright notice must be retained as part ** -- ** of this file at all times. ** -- ************************************************************************ -- ------------------------------------------------------------------------------- -- Filename: proc_sys_reset.vhd -- Version: v4.00a -- Description: Parameterizeable top level processor reset module. -- VHDL-Standard: VHDL'93 ------------------------------------------------------------------------------- -- Structure: This section should show the hierarchical structure of the -- designs.Separate lines with blank lines if necessary to improve -- readability. -- -- proc_sys_reset.vhd -- upcnt_n.vhd -- lpf.vhd -- sequence.vhd ------------------------------------------------------------------------------- -- Author: rolandp -- History: -- kc 11/07/01 -- First version -- -- kc 02/25/2002 -- Changed generic names C_EXT_RST_ACTIVE to -- C_EXT_RESET_HIGH and C_AUX_RST_ACTIVE to -- C_AUX_RESET_HIGH to match generics used in -- MicroBlaze. Added the DCM Lock as an input -- to keep reset active until after the Lock -- is valid. -- lcw 10/11/2004 -- Updated for NCSim -- Ravi 09/14/2006 -- Added Attributes for synthesis -- rolandp 04/16/2007 -- version 2.00a -- ~~~~~~~ -- SK 03/11/10 -- ^^^^^^^ -- 1. Updated the core so support the active low "Interconnect_aresetn" and -- "Peripheral_aresetn" signals. -- ^^^^^^^ -- ~~~~~~~ -- SK 05/12/11 -- ^^^^^^^ -- 1. Updated the core so remove the support for PPC related functionality. -- ^^^^^^^ ------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinatorial signals: "*_cmb" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port "*_i" -- device pins: "*_pin" -- ports: - Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> ------------------------------------------------------------------------------- library ieee; use ieee.std_logic_1164.all; library unisim; use unisim.vcomponents.all; library proc_sys_reset_v5_0; use proc_sys_reset_v5_0.all; ------------------------------------------------------------------------------- -- Port Declaration ------------------------------------------------------------------------------- -- Definition of Generics: -- C_EXT_RST_WIDTH -- External Reset Low Pass Filter setting -- C_AUX_RST_WIDTH -- Auxiliary Reset Low Pass Filter setting -- C_EXT_RESET_HIGH -- External Reset Active High or Active Low -- C_AUX_RESET_HIGH -= Auxiliary Reset Active High or Active Low -- C_NUM_BUS_RST -- Number of Bus Structures reset to generate -- C_NUM_PERP_RST -- Number of Peripheral resets to generate -- -- C_NUM_INTERCONNECT_ARESETN -- No. of Active low reset to interconnect -- C_NUM_PERP_ARESETN -- No. of Active low reset to peripheral -- Definition of Ports: -- slowest_sync_clk -- Clock -- ext_reset_in -- External Reset Input -- aux_reset_in -- Auxiliary Reset Input -- mb_debug_sys_rst -- MDM Reset Input -- dcm_locked -- DCM Locked, hold system in reset until 1 -- mb_reset -- MB core reset out -- bus_struct_reset -- Bus structure reset out -- peripheral_reset -- Peripheral reset out -- interconnect_aresetn -- Interconnect Bus structure registered rst out -- peripheral_aresetn -- Active Low Peripheral registered reset out ------------------------------------------------------------------------------- entity proc_sys_reset is generic ( C_FAMILY : string := "virtex7"; C_EXT_RST_WIDTH : integer := 4; C_AUX_RST_WIDTH : integer := 4; C_EXT_RESET_HIGH : std_logic := '0'; -- High active input C_AUX_RESET_HIGH : std_logic := '1'; -- High active input C_NUM_BUS_RST : integer := 1; C_NUM_PERP_RST : integer := 1; C_NUM_INTERCONNECT_ARESETN : integer := 1; -- 3/15/2010 C_NUM_PERP_ARESETN : integer := 1 -- 3/15/2010 ); port ( slowest_sync_clk : in std_logic; ext_reset_in : in std_logic; aux_reset_in : in std_logic; -- from MDM mb_debug_sys_rst : in std_logic; -- DCM locked information dcm_locked : in std_logic := '1'; -- -- from PPC -- Core_Reset_Req_0 : in std_logic; -- Chip_Reset_Req_0 : in std_logic; -- System_Reset_Req_0 : in std_logic; -- Core_Reset_Req_1 : in std_logic; -- Chip_Reset_Req_1 : in std_logic; -- System_Reset_Req_1 : in std_logic; -- RstcPPCresetcore_0 : out std_logic := '0'; -- RstcPPCresetchip_0 : out std_logic := '0'; -- RstcPPCresetsys_0 : out std_logic := '0'; -- RstcPPCresetcore_1 : out std_logic := '0'; -- RstcPPCresetchip_1 : out std_logic := '0'; -- RstcPPCresetsys_1 : out std_logic := '0'; -- to Microblaze active high reset mb_reset : out std_logic := '0'; -- active high resets bus_struct_reset : out std_logic_vector(0 to C_NUM_BUS_RST - 1) := (others => '0'); peripheral_reset : out std_logic_vector(0 to C_NUM_PERP_RST - 1) := (others => '0'); -- active low resets interconnect_aresetn : out std_logic_vector(0 to (C_NUM_INTERCONNECT_ARESETN-1)) := (others => '1'); peripheral_aresetn : out std_logic_vector(0 to (C_NUM_PERP_ARESETN-1)) := (others => '1') ); end entity proc_sys_reset; ------------------------------------------------------------------------------- -- Architecture ------------------------------------------------------------------------------- architecture imp of proc_sys_reset is ------------------------------------------------------------------------------- -- Constant Declarations ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- -- Signal and Type Declarations -- signal Core_Reset_Req_0_d1 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_0_d2 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_0_d3 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_1_d1 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_1_d2 : std_logic := '0'; -- delayed Core_Reset_Req -- signal Core_Reset_Req_1_d3 : std_logic := '0'; -- delayed Core_Reset_Req signal core_cnt_en_0 : std_logic := '0'; -- Core_Reset_Req_0 counter enable signal core_cnt_en_1 : std_logic := '0'; -- Core_Reset_Req_1 counter enable signal core_req_edge_0 : std_logic := '1'; -- Rising edge of Core_Reset_Req_0 signal core_req_edge_1 : std_logic := '1'; -- Rising edge of Core_Reset_Req_1 signal core_cnt_0 : std_logic_vector(3 downto 0); -- core counter output signal core_cnt_1 : std_logic_vector(3 downto 0); -- core counter output signal lpf_reset : std_logic; -- Low pass filtered ext or aux --signal Chip_Reset_Req : std_logic := '0'; --signal System_Reset_Req : std_logic := '0'; signal Bsr_out : std_logic; signal Pr_out : std_logic; -- signal Core_out : std_logic; -- signal Chip_out : std_logic; -- signal Sys_out : std_logic; signal MB_out : std_logic; ------------------------------------------------------------------------------- -- Attributes to synthesis ------------------------------------------------------------------------------- attribute equivalent_register_removal: string; attribute equivalent_register_removal of bus_struct_reset : signal is "no"; attribute equivalent_register_removal of peripheral_reset : signal is "no"; attribute equivalent_register_removal of interconnect_aresetn : signal is "no"; attribute equivalent_register_removal of peripheral_aresetn : signal is "no"; begin ------------------------------------------------------------------------------- -- --------------------- -- -- MB_RESET_HIGH_GEN: Generate active high reset for Micro-Blaze -- --------------------- -- MB_RESET_HIGH_GEN: if C_INT_RESET_HIGH = 1 generate -- begin MB_Reset_PROCESS: process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then mb_reset <= MB_out; end if; end process; -- ---------------------------------------------------------------------------- -- -- This For-generate creates D-Flip Flops for the Bus_Struct_Reset output(s) -- ---------------------------------------------------------------------------- BSR_OUT_DFF: for i in 0 to (C_NUM_BUS_RST-1) generate BSR_DFF : process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then bus_struct_reset(i) <= Bsr_out; end if; end process; end generate BSR_OUT_DFF; -- --------------------------------------------------------------------------- -- This For-generate creates D-Flip Flops for the Interconnect_aresetn op(s) -- --------------------------------------------------------------------------- ACTIVE_LOW_BSR_OUT_DFF: for i in 0 to (C_NUM_INTERCONNECT_ARESETN-1) generate BSR_DFF : process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then interconnect_aresetn(i) <= not (Bsr_out); end if; end process; end generate ACTIVE_LOW_BSR_OUT_DFF; ------------------------------------------------------------------------------- -- ---------------------------------------------------------------------------- -- -- This For-generate creates D-Flip Flops for the Peripheral_Reset output(s) -- ---------------------------------------------------------------------------- PR_OUT_DFF: for i in 0 to (C_NUM_PERP_RST-1) generate PR_DFF : process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then peripheral_reset(i) <= Pr_out; end if; end process; end generate PR_OUT_DFF; -- ---------------------------------------------------------------------------- -- This For-generate creates D-Flip Flops for the Peripheral_aresetn op(s) -- ---------------------------------------------------------------------------- ACTIVE_LOW_PR_OUT_DFF: for i in 0 to (C_NUM_PERP_ARESETN-1) generate ACTIVE_LOW_PR_DFF : process (slowest_sync_clk) begin if (slowest_sync_clk'event and slowest_sync_clk = '1') then peripheral_aresetn(i) <= not(Pr_out); end if; end process; end generate ACTIVE_LOW_PR_OUT_DFF; ------------------------------------------------------------------------------- -- This process defines the RstcPPCreset and MB_Reset outputs ------------------------------------------------------------------------------- -- Rstc_output_PROCESS_0: process (Slowest_sync_clk) -- begin -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- RstcPPCresetcore_0 <= not (core_cnt_0(3) and core_cnt_0(2) and -- core_cnt_0(1) and core_cnt_0(0)) -- or Core_out; -- RstcPPCresetchip_0 <= Chip_out; -- RstcPPCresetsys_0 <= Sys_out; -- end if; -- end process; -- Rstc_output_PROCESS_1: process (Slowest_sync_clk) -- begin -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- RstcPPCresetcore_1 <= not (core_cnt_1(3) and core_cnt_1(2) and -- core_cnt_1(1) and core_cnt_1(0)) -- or Core_out; -- RstcPPCresetchip_1 <= Chip_out; -- RstcPPCresetsys_1 <= Sys_out; -- end if; -- end process; ------------------------------------------------------------------------------- --------------------------------------------------------------------------------- ---- This process delays signals so the the edge can be detected and used ---- Double register to sync up with slowest_sync_clk --------------------------------------------------------------------------------- -- DELAY_PROCESS_0: process (Slowest_sync_clk) -- begin -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- core_reset_req_0_d1 <= Core_Reset_Req_0; -- core_reset_req_0_d2 <= core_reset_req_0_d1; -- core_reset_req_0_d3 <= core_reset_req_0_d2; -- end if; -- end process; -- -- DELAY_PROCESS_1: process (Slowest_sync_clk) -- begin -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- core_reset_req_1_d1 <= Core_Reset_Req_1; -- core_reset_req_1_d2 <= core_reset_req_1_d1; -- core_reset_req_1_d3 <= core_reset_req_1_d2; -- end if; -- end process; -- ** -- ------------------------------------------------------------------------------- -- ** -- -- This instantiates a counter to ensure the Core_Reset_Req_* will genereate a -- ** -- -- RstcPPCresetcore_* that is a mimimum of 15 clocks -- ** -- ------------------------------------------------------------------------------- -- ** -- CORE_RESET_0 : entity proc_sys_reset_v5_0.UPCNT_N -- ** -- generic map (C_SIZE => 4) -- ** -- port map( -- ** -- Data => "0000", -- in STD_LOGIC_VECTOR (C_SIZE-1 downto 0); -- ** -- Cnt_en => core_cnt_en_0, -- in STD_LOGIC; -- ** -- Load => '0', -- in STD_LOGIC; -- ** -- Clr => core_req_edge_0, -- in STD_LOGIC; -- ** -- Clk => Slowest_sync_clk, -- in STD_LOGIC; -- ** -- Qout => core_cnt_0 -- out STD_LOGIC_VECTOR (C_SIZE-1 downto 0) -- ** -- ); -- ** -- -- ** -- CORE_RESET_1 : entity proc_sys_reset_v5_0.UPCNT_N -- ** -- generic map (C_SIZE => 4) -- ** -- port map( -- ** -- Data => "0000", -- in STD_LOGIC_VECTOR (C_SIZE-1 downto 0); -- ** -- Cnt_en => core_cnt_en_1, -- in STD_LOGIC; -- ** -- Load => '0', -- in STD_LOGIC; -- ** -- Clr => core_req_edge_1, -- in STD_LOGIC; -- ** -- Clk => Slowest_sync_clk, -- in STD_LOGIC; -- ** -- Qout => core_cnt_1 -- out STD_LOGIC_VECTOR (C_SIZE-1 downto 0) -- ** -- ); -- ** -- -- ** -- ------------------------------------------------------------------------------- -- ** -- -- CORE_RESET_PROCESS -- ** -- ------------------------------------------------------------------------------- -- ** -- -- This generates the reset pulse and the count enable to core reset counter -- ** -- -- -- ** -- CORE_RESET_PROCESS_0: process (Slowest_sync_clk) -- ** -- begin -- ** -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- ** -- core_cnt_en_0 <= not (core_cnt_0(3) and core_cnt_0(2) and core_cnt_0(1)); -- ** -- --or not core_req_edge_0; -- ** -- --core_req_edge_0 <= not(Core_Reset_Req_0_d2 and not Core_Reset_Req_0_d3); -- ** -- end if; -- ** -- end process; -- ** -- -- ** -- CORE_RESET_PROCESS_1: process (Slowest_sync_clk) -- ** -- begin -- ** -- if (Slowest_sync_clk'event and Slowest_sync_clk = '1') then -- ** -- core_cnt_en_1 <= not (core_cnt_1(3) and core_cnt_1(2) and core_cnt_1(1)); -- ** -- --or not core_req_edge_1; -- ** -- --core_req_edge_1 <= not(Core_Reset_Req_1_d2 and not Core_Reset_Req_1_d3); -- ** -- end if; -- ** -- end process; ------------------------------------------------------------------------------- -- This instantiates a low pass filter to filter both External and Auxiliary -- Reset Inputs. ------------------------------------------------------------------------------- EXT_LPF : entity proc_sys_reset_v5_0.LPF generic map ( C_EXT_RST_WIDTH => C_EXT_RST_WIDTH, C_AUX_RST_WIDTH => C_AUX_RST_WIDTH, C_EXT_RESET_HIGH => C_EXT_RESET_HIGH, C_AUX_RESET_HIGH => C_AUX_RESET_HIGH ) port map( MB_Debug_Sys_Rst => mb_debug_sys_rst, -- in std_logic Dcm_locked => dcm_locked, -- in std_logic External_System_Reset => ext_reset_in, -- in std_logic Auxiliary_System_Reset => aux_reset_in, -- in std_logic Slowest_Sync_Clk => slowest_sync_clk, -- in std_logic Lpf_reset => lpf_reset -- out std_logic ); ------------------------------------------------------------------------------- -- This instantiates the sequencer -- This controls the time between resets becoming inactive ------------------------------------------------------------------------------- -- System_Reset_Req <= System_Reset_Req_0 or System_Reset_Req_1; -- Chip_Reset_Req <= Chip_Reset_Req_0 or Chip_Reset_Req_1; SEQ : entity proc_sys_reset_v5_0.SEQUENCE --generic map ( -- C_EXT_RESET_HIGH_1 => C_EXT_RESET_HIGH --) port map( Lpf_reset => lpf_reset, -- in std_logic --System_Reset_Req => '0', -- System_Reset_Req, -- in std_logic --Chip_Reset_Req => '0', -- Chip_Reset_Req, -- in std_logic Slowest_Sync_Clk => slowest_sync_clk, -- in std_logic Bsr_out => Bsr_out, -- out std_logic Pr_out => Pr_out, -- out std_logic --Core_out => open, -- Core_out, -- out std_logic --Chip_out => open, -- Chip_out, -- out std_logic --Sys_out => open, -- Sys_out, -- out std_logic MB_out => MB_out); -- out std_logic end imp; --END_SINGLE_FILE_TAG
mit
HighlandersFRC/fpga
lights_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/proc_common_v4_0/hdl/src/vhdl/ipif_steer.vhd
15
22671
--SINGLE_FILE_TAG ------------------------------------------------------------------------------- -- $Id: ipif_steer.vhd,v 1.1.4.1 2010/09/14 22:35:46 dougt Exp $ ------------------------------------------------------------------------------- -- IPIF_Steer - entity/architecture pair ------------------------------------------------------------------------------- -- -- ************************************************************************* -- ** ** -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This text/file contains proprietary, confidential ** -- ** information of Xilinx, Inc., is distributed under ** -- ** license from Xilinx, Inc., and may be used, copied ** -- ** and/or disclosed only pursuant to the terms of a valid ** -- ** license agreement with Xilinx, Inc. Xilinx hereby ** -- ** grants you a license to use this text/file solely for ** -- ** design, simulation, implementation and creation of ** -- ** design files limited to Xilinx devices or technologies. ** -- ** Use with non-Xilinx devices or technologies is expressly ** -- ** prohibited and immediately terminates your license unless ** -- ** covered by a separate agreement. ** -- ** ** -- ** Xilinx is providing this design, code, or information ** -- ** "as-is" solely for use in developing programs and ** -- ** solutions for Xilinx devices, with no obligation on the ** -- ** part of Xilinx to provide support. By providing this design, ** -- ** code, or information as one possible implementation of ** -- ** this feature, application or standard, Xilinx is making no ** -- ** representation that this implementation is free from any ** -- ** claims of infringement. You are responsible for obtaining ** -- ** any rights you may require for your implementation. ** -- ** Xilinx expressly disclaims any warranty whatsoever with ** -- ** respect to the adequacy of the implementation, including ** -- ** but not limited to any warranties or representations that this ** -- ** implementation is free from claims of infringement, implied ** -- ** warranties of merchantability or fitness for a particular ** -- ** purpose. ** -- ** ** -- ** Xilinx products are not intended for use in life support ** -- ** appliances, devices, or systems. Use in such applications is ** -- ** expressly prohibited. ** -- ** ** -- ** Any modifications that are made to the Source Code are ** -- ** done at the user’s sole risk and will be unsupported. ** -- ** The Xilinx Support Hotline does not have access to source ** -- ** code and therefore cannot answer specific questions related ** -- ** to source HDL. The Xilinx Hotline support of original source ** -- ** code IP shall only address issues and questions related ** -- ** to the standard Netlist version of the core (and thus ** -- ** indirectly, the original core source). ** -- ** ** -- ** Copyright (c) 2002-2010 Xilinx, Inc. All rights reserved. ** -- ** ** -- ** This copyright and support notice must be retained as part ** -- ** of this text at all times. ** -- ** ** -- ************************************************************************* -- ------------------------------------------------------------------------------- -- Filename: ipif_steer.vhd -- Version: v1.00b -- Description: Read and Write Steering logic for IPIF -- -- For writes, this logic steers data from the correct byte -- lane to IPIF devices which may be smaller than the bus -- width. The BE signals are also steered if the BE_Steer -- signal is asserted, which indicates that the address space -- being accessed has a smaller maximum data transfer size -- than the bus size. -- -- For writes, the Decode_size signal determines how read -- data is steered onto the byte lanes. To simplify the -- logic, the read data is mirrored onto the entire data -- bus, insuring that the lanes corrsponding to the BE's -- have correct data. -- -- -- ------------------------------------------------------------------------------- -- Structure: -- -- ipif_steer.vhd -- ------------------------------------------------------------------------------- -- Author: BLT -- History: -- BLT 2-5-2002 -- First version -- ^^^^^^ -- First version of IPIF steering logic. -- ~~~~~~ -- BLT 2-12-2002 -- Removed BE_Steer, now generated internally -- -- DET 2-24-2002 -- Added 'When others' to size case statement -- in BE_STEER_PROC process. -- -- BLT 10-10-2002 -- Rewrote to get around some XST synthesis -- issues. -- -- BLT 11-18-2002 -- Added addr_bits to sensitivity lists to -- fix simulation bug -- -- -- DET 1/17/2008 v4_0 -- ~~~~~~ -- - Incorporated new disclaimer header -- ^^^^^^ -- ------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinatorial signals: "*_cmb" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port "*_i" -- device pins: "*_pin" -- ports: - Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> ------------------------------------------------------------------------------- library IEEE; use IEEE.std_logic_1164.all; ------------------------------------------------------------------------------- -- Port declarations -- generic definitions: -- C_DWIDTH : integer := width of host databus attached to the IPIF -- C_SMALLEST : integer := width of smallest device (not access size) -- attached to the IPIF -- C_AWIDTH : integer := width of the host address bus attached to -- the IPIF -- port definitions: -- Wr_Data_In : in Write Data In (from host data bus) -- Rd_Data_In : in Read Data In (from IPIC data bus) -- Addr : in Address bus from host address bus -- BE_In : in Byte Enables In from host side -- Decode_size : in Size of MAXIMUM data access allowed to -- a particular address map decode. -- -- Size indication (Decode_size) -- 001 - byte -- 010 - halfword -- 011 - word -- 100 - doubleword -- 101 - 128-b -- 110 - 256-b -- 111 - 512-b -- num_bytes = 2^(n-1) -- -- Wr_Data_Out : out Write Data Out (to IPIF data bus) -- Rd_Data_Out : out Read Data Out (to host data bus) -- BE_Out : out Byte Enables Out to IPIF side -- ------------------------------------------------------------------------------- entity IPIF_Steer is generic ( C_DWIDTH : integer := 32; -- 8, 16, 32, 64 C_SMALLEST : integer := 32; -- 8, 16, 32, 64 C_AWIDTH : integer := 32 ); port ( Wr_Data_In : in std_logic_vector(0 to C_DWIDTH-1); Rd_Data_In : in std_logic_vector(0 to C_DWIDTH-1); Addr : in std_logic_vector(0 to C_AWIDTH-1); BE_In : in std_logic_vector(0 to C_DWIDTH/8-1); Decode_size : in std_logic_vector(0 to 2); Wr_Data_Out : out std_logic_vector(0 to C_DWIDTH-1); Rd_Data_Out : out std_logic_vector(0 to C_DWIDTH-1); BE_Out : out std_logic_vector(0 to C_DWIDTH/8-1) ); end entity IPIF_Steer; ------------------------------------------------------------------------------- -- Architecture section ------------------------------------------------------------------------------- architecture IMP of IPIF_Steer is ------------------------------------------------------------------------------- -- Begin architecture ------------------------------------------------------------------------------- begin -- architecture IMP ----------------------------------------------------------------------------- -- OPB Data Muxing and Steering ----------------------------------------------------------------------------- -- GEN_DWIDTH_SMALLEST GEN_SAME: if C_DWIDTH = C_SMALLEST generate Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; end generate GEN_SAME; GEN_16_8: if C_DWIDTH = 16 and C_SMALLEST = 8 generate signal addr_bits : std_logic; begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-1); case addr_bits is when '1' => Wr_Data_Out(0 to 7) <= Wr_Data_In(8 to 15); case Decode_size is when "001" => --B BE_Out(0) <= BE_In(1); BE_Out(1) <= '0'; Rd_Data_Out(8 to 15) <= Rd_Data_In(0 to 7); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_16_8; GEN_32_8: if C_DWIDTH = 32 and C_SMALLEST = 8 generate signal addr_bits : std_logic_vector(0 to 1); begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-2 to C_AWIDTH-1); --a30 to a31 case addr_bits is when "01" => Wr_Data_Out(0 to 7) <= Wr_Data_In(8 to 15); case Decode_size is when "001" => --B BE_Out(0) <= BE_In(1); BE_Out(1 to 3) <= (others => '0'); Rd_Data_Out(8 to 15) <= Rd_Data_In(0 to 7); when "010" => --HW Rd_Data_Out(8 to 15) <= Rd_Data_In(8 to 15); when others => null; end case; when "10" => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(2); BE_Out(1 to 3) <= (others => '0'); Rd_Data_Out(16 to 23) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 3) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when "11" => Wr_Data_Out(0 to 7) <= Wr_Data_In(24 to 31); Wr_Data_Out(8 to 15) <= Wr_Data_In(24 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(3); BE_Out(1 to 3) <= (others => '0'); Rd_Data_Out(24 to 31) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(1) <= BE_In(3); BE_Out(2 to 3) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_32_8; GEN_32_16: if C_DWIDTH = 32 and C_SMALLEST = 16 generate signal addr_bits : std_logic; begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-2); --a30 case addr_bits is when '1' => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "010" => --HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 3) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_32_16; GEN_64_8: if C_DWIDTH = 64 and C_SMALLEST = 8 generate signal addr_bits : std_logic_vector(0 to 2); begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-3 to C_AWIDTH-1); --a29 to a31 case addr_bits is when "001" => Wr_Data_Out(0 to 7) <= Wr_Data_In(8 to 15); case Decode_size is when "001" => --B BE_Out(0) <= BE_In(1); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(8 to 15) <= Rd_Data_In(0 to 7); when others => null; end case; when "010" => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(2); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(16 to 23) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when "011" => Wr_Data_Out(0 to 7) <= Wr_Data_In(24 to 31); Wr_Data_Out(8 to 15) <= Wr_Data_In(24 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(3); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(24 to 31) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(24 to 31) <= Rd_Data_In(8 to 15); when others => null; end case; when "100" => Wr_Data_Out(0 to 31) <= Wr_Data_In(32 to 63); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(4); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(32 to 39) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(4 to 5); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(32 to 47) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "101" => Wr_Data_Out(0 to 7) <= Wr_Data_In(40 to 47); Wr_Data_Out(8 to 15) <= Wr_Data_In(40 to 47); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(5); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(40 to 47) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(4 to 5); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(32 to 47) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "110" => Wr_Data_Out(0 to 15) <= Wr_Data_In(48 to 63); Wr_Data_Out(16 to 31) <= Wr_Data_In(48 to 63); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(6); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(48 to 55) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(6 to 7); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(48 to 63) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "111" => Wr_Data_Out(0 to 7) <= Wr_Data_In(56 to 63); Wr_Data_Out(8 to 15) <= Wr_Data_In(56 to 63); Wr_Data_Out(24 to 31) <= Wr_Data_In(56 to 63); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(7); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(56 to 63) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(6 to 7); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(48 to 63) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_64_8; GEN_64_16: if C_DWIDTH = 64 and C_SMALLEST = 16 generate signal addr_bits : std_logic_vector(0 to 1); begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-3 to C_AWIDTH-2); --a29 to a30 case addr_bits is when "01" => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "010" => --HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when "10" => Wr_Data_Out(0 to 31) <= Wr_Data_In(32 to 63); case Decode_size is when "010" => -- HW BE_Out(0 to 1) <= BE_In(4 to 5); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(32 to 47) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "11" => Wr_Data_Out(0 to 15) <= Wr_Data_In(48 to 63); Wr_Data_Out(16 to 31) <= Wr_Data_In(48 to 63); case Decode_size is when "010" => -- HW BE_Out(0 to 1) <= BE_In(6 to 7); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(48 to 63) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_64_16; GEN_64_32: if C_DWIDTH = 64 and C_SMALLEST = 32 generate signal addr_bits : std_logic; begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-3); --a29 case addr_bits is when '1' => Wr_Data_Out(0 to 31) <= Wr_Data_In(32 to 63); case Decode_size is when "011" => BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_64_32; -- Size indication (Decode_size) -- n = 001 byte 2^0 -- n = 010 halfword 2^1 -- n = 011 word 2^2 -- n = 100 doubleword 2^3 -- n = 101 128-b -- n = 110 256-b -- n = 111 512-b -- num_bytes = 2^(n-1) end architecture IMP;
mit
HighlandersFRC/fpga
oled_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/proc_common_v4_0/hdl/src/vhdl/ipif_steer.vhd
15
22671
--SINGLE_FILE_TAG ------------------------------------------------------------------------------- -- $Id: ipif_steer.vhd,v 1.1.4.1 2010/09/14 22:35:46 dougt Exp $ ------------------------------------------------------------------------------- -- IPIF_Steer - entity/architecture pair ------------------------------------------------------------------------------- -- -- ************************************************************************* -- ** ** -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This text/file contains proprietary, confidential ** -- ** information of Xilinx, Inc., is distributed under ** -- ** license from Xilinx, Inc., and may be used, copied ** -- ** and/or disclosed only pursuant to the terms of a valid ** -- ** license agreement with Xilinx, Inc. Xilinx hereby ** -- ** grants you a license to use this text/file solely for ** -- ** design, simulation, implementation and creation of ** -- ** design files limited to Xilinx devices or technologies. ** -- ** Use with non-Xilinx devices or technologies is expressly ** -- ** prohibited and immediately terminates your license unless ** -- ** covered by a separate agreement. ** -- ** ** -- ** Xilinx is providing this design, code, or information ** -- ** "as-is" solely for use in developing programs and ** -- ** solutions for Xilinx devices, with no obligation on the ** -- ** part of Xilinx to provide support. By providing this design, ** -- ** code, or information as one possible implementation of ** -- ** this feature, application or standard, Xilinx is making no ** -- ** representation that this implementation is free from any ** -- ** claims of infringement. You are responsible for obtaining ** -- ** any rights you may require for your implementation. ** -- ** Xilinx expressly disclaims any warranty whatsoever with ** -- ** respect to the adequacy of the implementation, including ** -- ** but not limited to any warranties or representations that this ** -- ** implementation is free from claims of infringement, implied ** -- ** warranties of merchantability or fitness for a particular ** -- ** purpose. ** -- ** ** -- ** Xilinx products are not intended for use in life support ** -- ** appliances, devices, or systems. Use in such applications is ** -- ** expressly prohibited. ** -- ** ** -- ** Any modifications that are made to the Source Code are ** -- ** done at the user’s sole risk and will be unsupported. ** -- ** The Xilinx Support Hotline does not have access to source ** -- ** code and therefore cannot answer specific questions related ** -- ** to source HDL. The Xilinx Hotline support of original source ** -- ** code IP shall only address issues and questions related ** -- ** to the standard Netlist version of the core (and thus ** -- ** indirectly, the original core source). ** -- ** ** -- ** Copyright (c) 2002-2010 Xilinx, Inc. All rights reserved. ** -- ** ** -- ** This copyright and support notice must be retained as part ** -- ** of this text at all times. ** -- ** ** -- ************************************************************************* -- ------------------------------------------------------------------------------- -- Filename: ipif_steer.vhd -- Version: v1.00b -- Description: Read and Write Steering logic for IPIF -- -- For writes, this logic steers data from the correct byte -- lane to IPIF devices which may be smaller than the bus -- width. The BE signals are also steered if the BE_Steer -- signal is asserted, which indicates that the address space -- being accessed has a smaller maximum data transfer size -- than the bus size. -- -- For writes, the Decode_size signal determines how read -- data is steered onto the byte lanes. To simplify the -- logic, the read data is mirrored onto the entire data -- bus, insuring that the lanes corrsponding to the BE's -- have correct data. -- -- -- ------------------------------------------------------------------------------- -- Structure: -- -- ipif_steer.vhd -- ------------------------------------------------------------------------------- -- Author: BLT -- History: -- BLT 2-5-2002 -- First version -- ^^^^^^ -- First version of IPIF steering logic. -- ~~~~~~ -- BLT 2-12-2002 -- Removed BE_Steer, now generated internally -- -- DET 2-24-2002 -- Added 'When others' to size case statement -- in BE_STEER_PROC process. -- -- BLT 10-10-2002 -- Rewrote to get around some XST synthesis -- issues. -- -- BLT 11-18-2002 -- Added addr_bits to sensitivity lists to -- fix simulation bug -- -- -- DET 1/17/2008 v4_0 -- ~~~~~~ -- - Incorporated new disclaimer header -- ^^^^^^ -- ------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinatorial signals: "*_cmb" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port "*_i" -- device pins: "*_pin" -- ports: - Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> ------------------------------------------------------------------------------- library IEEE; use IEEE.std_logic_1164.all; ------------------------------------------------------------------------------- -- Port declarations -- generic definitions: -- C_DWIDTH : integer := width of host databus attached to the IPIF -- C_SMALLEST : integer := width of smallest device (not access size) -- attached to the IPIF -- C_AWIDTH : integer := width of the host address bus attached to -- the IPIF -- port definitions: -- Wr_Data_In : in Write Data In (from host data bus) -- Rd_Data_In : in Read Data In (from IPIC data bus) -- Addr : in Address bus from host address bus -- BE_In : in Byte Enables In from host side -- Decode_size : in Size of MAXIMUM data access allowed to -- a particular address map decode. -- -- Size indication (Decode_size) -- 001 - byte -- 010 - halfword -- 011 - word -- 100 - doubleword -- 101 - 128-b -- 110 - 256-b -- 111 - 512-b -- num_bytes = 2^(n-1) -- -- Wr_Data_Out : out Write Data Out (to IPIF data bus) -- Rd_Data_Out : out Read Data Out (to host data bus) -- BE_Out : out Byte Enables Out to IPIF side -- ------------------------------------------------------------------------------- entity IPIF_Steer is generic ( C_DWIDTH : integer := 32; -- 8, 16, 32, 64 C_SMALLEST : integer := 32; -- 8, 16, 32, 64 C_AWIDTH : integer := 32 ); port ( Wr_Data_In : in std_logic_vector(0 to C_DWIDTH-1); Rd_Data_In : in std_logic_vector(0 to C_DWIDTH-1); Addr : in std_logic_vector(0 to C_AWIDTH-1); BE_In : in std_logic_vector(0 to C_DWIDTH/8-1); Decode_size : in std_logic_vector(0 to 2); Wr_Data_Out : out std_logic_vector(0 to C_DWIDTH-1); Rd_Data_Out : out std_logic_vector(0 to C_DWIDTH-1); BE_Out : out std_logic_vector(0 to C_DWIDTH/8-1) ); end entity IPIF_Steer; ------------------------------------------------------------------------------- -- Architecture section ------------------------------------------------------------------------------- architecture IMP of IPIF_Steer is ------------------------------------------------------------------------------- -- Begin architecture ------------------------------------------------------------------------------- begin -- architecture IMP ----------------------------------------------------------------------------- -- OPB Data Muxing and Steering ----------------------------------------------------------------------------- -- GEN_DWIDTH_SMALLEST GEN_SAME: if C_DWIDTH = C_SMALLEST generate Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; end generate GEN_SAME; GEN_16_8: if C_DWIDTH = 16 and C_SMALLEST = 8 generate signal addr_bits : std_logic; begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-1); case addr_bits is when '1' => Wr_Data_Out(0 to 7) <= Wr_Data_In(8 to 15); case Decode_size is when "001" => --B BE_Out(0) <= BE_In(1); BE_Out(1) <= '0'; Rd_Data_Out(8 to 15) <= Rd_Data_In(0 to 7); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_16_8; GEN_32_8: if C_DWIDTH = 32 and C_SMALLEST = 8 generate signal addr_bits : std_logic_vector(0 to 1); begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-2 to C_AWIDTH-1); --a30 to a31 case addr_bits is when "01" => Wr_Data_Out(0 to 7) <= Wr_Data_In(8 to 15); case Decode_size is when "001" => --B BE_Out(0) <= BE_In(1); BE_Out(1 to 3) <= (others => '0'); Rd_Data_Out(8 to 15) <= Rd_Data_In(0 to 7); when "010" => --HW Rd_Data_Out(8 to 15) <= Rd_Data_In(8 to 15); when others => null; end case; when "10" => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(2); BE_Out(1 to 3) <= (others => '0'); Rd_Data_Out(16 to 23) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 3) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when "11" => Wr_Data_Out(0 to 7) <= Wr_Data_In(24 to 31); Wr_Data_Out(8 to 15) <= Wr_Data_In(24 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(3); BE_Out(1 to 3) <= (others => '0'); Rd_Data_Out(24 to 31) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(1) <= BE_In(3); BE_Out(2 to 3) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_32_8; GEN_32_16: if C_DWIDTH = 32 and C_SMALLEST = 16 generate signal addr_bits : std_logic; begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-2); --a30 case addr_bits is when '1' => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "010" => --HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 3) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_32_16; GEN_64_8: if C_DWIDTH = 64 and C_SMALLEST = 8 generate signal addr_bits : std_logic_vector(0 to 2); begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-3 to C_AWIDTH-1); --a29 to a31 case addr_bits is when "001" => Wr_Data_Out(0 to 7) <= Wr_Data_In(8 to 15); case Decode_size is when "001" => --B BE_Out(0) <= BE_In(1); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(8 to 15) <= Rd_Data_In(0 to 7); when others => null; end case; when "010" => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(2); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(16 to 23) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when "011" => Wr_Data_Out(0 to 7) <= Wr_Data_In(24 to 31); Wr_Data_Out(8 to 15) <= Wr_Data_In(24 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(3); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(24 to 31) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(24 to 31) <= Rd_Data_In(8 to 15); when others => null; end case; when "100" => Wr_Data_Out(0 to 31) <= Wr_Data_In(32 to 63); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(4); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(32 to 39) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(4 to 5); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(32 to 47) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "101" => Wr_Data_Out(0 to 7) <= Wr_Data_In(40 to 47); Wr_Data_Out(8 to 15) <= Wr_Data_In(40 to 47); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(5); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(40 to 47) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(4 to 5); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(32 to 47) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "110" => Wr_Data_Out(0 to 15) <= Wr_Data_In(48 to 63); Wr_Data_Out(16 to 31) <= Wr_Data_In(48 to 63); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(6); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(48 to 55) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(6 to 7); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(48 to 63) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "111" => Wr_Data_Out(0 to 7) <= Wr_Data_In(56 to 63); Wr_Data_Out(8 to 15) <= Wr_Data_In(56 to 63); Wr_Data_Out(24 to 31) <= Wr_Data_In(56 to 63); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(7); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(56 to 63) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(6 to 7); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(48 to 63) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_64_8; GEN_64_16: if C_DWIDTH = 64 and C_SMALLEST = 16 generate signal addr_bits : std_logic_vector(0 to 1); begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-3 to C_AWIDTH-2); --a29 to a30 case addr_bits is when "01" => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "010" => --HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when "10" => Wr_Data_Out(0 to 31) <= Wr_Data_In(32 to 63); case Decode_size is when "010" => -- HW BE_Out(0 to 1) <= BE_In(4 to 5); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(32 to 47) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "11" => Wr_Data_Out(0 to 15) <= Wr_Data_In(48 to 63); Wr_Data_Out(16 to 31) <= Wr_Data_In(48 to 63); case Decode_size is when "010" => -- HW BE_Out(0 to 1) <= BE_In(6 to 7); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(48 to 63) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_64_16; GEN_64_32: if C_DWIDTH = 64 and C_SMALLEST = 32 generate signal addr_bits : std_logic; begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-3); --a29 case addr_bits is when '1' => Wr_Data_Out(0 to 31) <= Wr_Data_In(32 to 63); case Decode_size is when "011" => BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_64_32; -- Size indication (Decode_size) -- n = 001 byte 2^0 -- n = 010 halfword 2^1 -- n = 011 word 2^2 -- n = 100 doubleword 2^3 -- n = 101 128-b -- n = 110 256-b -- n = 111 512-b -- num_bytes = 2^(n-1) end architecture IMP;
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/proc_common_v4_0/hdl/src/vhdl/ipif_steer.vhd
15
22671
--SINGLE_FILE_TAG ------------------------------------------------------------------------------- -- $Id: ipif_steer.vhd,v 1.1.4.1 2010/09/14 22:35:46 dougt Exp $ ------------------------------------------------------------------------------- -- IPIF_Steer - entity/architecture pair ------------------------------------------------------------------------------- -- -- ************************************************************************* -- ** ** -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This text/file contains proprietary, confidential ** -- ** information of Xilinx, Inc., is distributed under ** -- ** license from Xilinx, Inc., and may be used, copied ** -- ** and/or disclosed only pursuant to the terms of a valid ** -- ** license agreement with Xilinx, Inc. Xilinx hereby ** -- ** grants you a license to use this text/file solely for ** -- ** design, simulation, implementation and creation of ** -- ** design files limited to Xilinx devices or technologies. ** -- ** Use with non-Xilinx devices or technologies is expressly ** -- ** prohibited and immediately terminates your license unless ** -- ** covered by a separate agreement. ** -- ** ** -- ** Xilinx is providing this design, code, or information ** -- ** "as-is" solely for use in developing programs and ** -- ** solutions for Xilinx devices, with no obligation on the ** -- ** part of Xilinx to provide support. By providing this design, ** -- ** code, or information as one possible implementation of ** -- ** this feature, application or standard, Xilinx is making no ** -- ** representation that this implementation is free from any ** -- ** claims of infringement. You are responsible for obtaining ** -- ** any rights you may require for your implementation. ** -- ** Xilinx expressly disclaims any warranty whatsoever with ** -- ** respect to the adequacy of the implementation, including ** -- ** but not limited to any warranties or representations that this ** -- ** implementation is free from claims of infringement, implied ** -- ** warranties of merchantability or fitness for a particular ** -- ** purpose. ** -- ** ** -- ** Xilinx products are not intended for use in life support ** -- ** appliances, devices, or systems. Use in such applications is ** -- ** expressly prohibited. ** -- ** ** -- ** Any modifications that are made to the Source Code are ** -- ** done at the user’s sole risk and will be unsupported. ** -- ** The Xilinx Support Hotline does not have access to source ** -- ** code and therefore cannot answer specific questions related ** -- ** to source HDL. The Xilinx Hotline support of original source ** -- ** code IP shall only address issues and questions related ** -- ** to the standard Netlist version of the core (and thus ** -- ** indirectly, the original core source). ** -- ** ** -- ** Copyright (c) 2002-2010 Xilinx, Inc. All rights reserved. ** -- ** ** -- ** This copyright and support notice must be retained as part ** -- ** of this text at all times. ** -- ** ** -- ************************************************************************* -- ------------------------------------------------------------------------------- -- Filename: ipif_steer.vhd -- Version: v1.00b -- Description: Read and Write Steering logic for IPIF -- -- For writes, this logic steers data from the correct byte -- lane to IPIF devices which may be smaller than the bus -- width. The BE signals are also steered if the BE_Steer -- signal is asserted, which indicates that the address space -- being accessed has a smaller maximum data transfer size -- than the bus size. -- -- For writes, the Decode_size signal determines how read -- data is steered onto the byte lanes. To simplify the -- logic, the read data is mirrored onto the entire data -- bus, insuring that the lanes corrsponding to the BE's -- have correct data. -- -- -- ------------------------------------------------------------------------------- -- Structure: -- -- ipif_steer.vhd -- ------------------------------------------------------------------------------- -- Author: BLT -- History: -- BLT 2-5-2002 -- First version -- ^^^^^^ -- First version of IPIF steering logic. -- ~~~~~~ -- BLT 2-12-2002 -- Removed BE_Steer, now generated internally -- -- DET 2-24-2002 -- Added 'When others' to size case statement -- in BE_STEER_PROC process. -- -- BLT 10-10-2002 -- Rewrote to get around some XST synthesis -- issues. -- -- BLT 11-18-2002 -- Added addr_bits to sensitivity lists to -- fix simulation bug -- -- -- DET 1/17/2008 v4_0 -- ~~~~~~ -- - Incorporated new disclaimer header -- ^^^^^^ -- ------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinatorial signals: "*_cmb" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port "*_i" -- device pins: "*_pin" -- ports: - Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> ------------------------------------------------------------------------------- library IEEE; use IEEE.std_logic_1164.all; ------------------------------------------------------------------------------- -- Port declarations -- generic definitions: -- C_DWIDTH : integer := width of host databus attached to the IPIF -- C_SMALLEST : integer := width of smallest device (not access size) -- attached to the IPIF -- C_AWIDTH : integer := width of the host address bus attached to -- the IPIF -- port definitions: -- Wr_Data_In : in Write Data In (from host data bus) -- Rd_Data_In : in Read Data In (from IPIC data bus) -- Addr : in Address bus from host address bus -- BE_In : in Byte Enables In from host side -- Decode_size : in Size of MAXIMUM data access allowed to -- a particular address map decode. -- -- Size indication (Decode_size) -- 001 - byte -- 010 - halfword -- 011 - word -- 100 - doubleword -- 101 - 128-b -- 110 - 256-b -- 111 - 512-b -- num_bytes = 2^(n-1) -- -- Wr_Data_Out : out Write Data Out (to IPIF data bus) -- Rd_Data_Out : out Read Data Out (to host data bus) -- BE_Out : out Byte Enables Out to IPIF side -- ------------------------------------------------------------------------------- entity IPIF_Steer is generic ( C_DWIDTH : integer := 32; -- 8, 16, 32, 64 C_SMALLEST : integer := 32; -- 8, 16, 32, 64 C_AWIDTH : integer := 32 ); port ( Wr_Data_In : in std_logic_vector(0 to C_DWIDTH-1); Rd_Data_In : in std_logic_vector(0 to C_DWIDTH-1); Addr : in std_logic_vector(0 to C_AWIDTH-1); BE_In : in std_logic_vector(0 to C_DWIDTH/8-1); Decode_size : in std_logic_vector(0 to 2); Wr_Data_Out : out std_logic_vector(0 to C_DWIDTH-1); Rd_Data_Out : out std_logic_vector(0 to C_DWIDTH-1); BE_Out : out std_logic_vector(0 to C_DWIDTH/8-1) ); end entity IPIF_Steer; ------------------------------------------------------------------------------- -- Architecture section ------------------------------------------------------------------------------- architecture IMP of IPIF_Steer is ------------------------------------------------------------------------------- -- Begin architecture ------------------------------------------------------------------------------- begin -- architecture IMP ----------------------------------------------------------------------------- -- OPB Data Muxing and Steering ----------------------------------------------------------------------------- -- GEN_DWIDTH_SMALLEST GEN_SAME: if C_DWIDTH = C_SMALLEST generate Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; end generate GEN_SAME; GEN_16_8: if C_DWIDTH = 16 and C_SMALLEST = 8 generate signal addr_bits : std_logic; begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-1); case addr_bits is when '1' => Wr_Data_Out(0 to 7) <= Wr_Data_In(8 to 15); case Decode_size is when "001" => --B BE_Out(0) <= BE_In(1); BE_Out(1) <= '0'; Rd_Data_Out(8 to 15) <= Rd_Data_In(0 to 7); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_16_8; GEN_32_8: if C_DWIDTH = 32 and C_SMALLEST = 8 generate signal addr_bits : std_logic_vector(0 to 1); begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-2 to C_AWIDTH-1); --a30 to a31 case addr_bits is when "01" => Wr_Data_Out(0 to 7) <= Wr_Data_In(8 to 15); case Decode_size is when "001" => --B BE_Out(0) <= BE_In(1); BE_Out(1 to 3) <= (others => '0'); Rd_Data_Out(8 to 15) <= Rd_Data_In(0 to 7); when "010" => --HW Rd_Data_Out(8 to 15) <= Rd_Data_In(8 to 15); when others => null; end case; when "10" => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(2); BE_Out(1 to 3) <= (others => '0'); Rd_Data_Out(16 to 23) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 3) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when "11" => Wr_Data_Out(0 to 7) <= Wr_Data_In(24 to 31); Wr_Data_Out(8 to 15) <= Wr_Data_In(24 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(3); BE_Out(1 to 3) <= (others => '0'); Rd_Data_Out(24 to 31) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(1) <= BE_In(3); BE_Out(2 to 3) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_32_8; GEN_32_16: if C_DWIDTH = 32 and C_SMALLEST = 16 generate signal addr_bits : std_logic; begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-2); --a30 case addr_bits is when '1' => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "010" => --HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 3) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_32_16; GEN_64_8: if C_DWIDTH = 64 and C_SMALLEST = 8 generate signal addr_bits : std_logic_vector(0 to 2); begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-3 to C_AWIDTH-1); --a29 to a31 case addr_bits is when "001" => Wr_Data_Out(0 to 7) <= Wr_Data_In(8 to 15); case Decode_size is when "001" => --B BE_Out(0) <= BE_In(1); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(8 to 15) <= Rd_Data_In(0 to 7); when others => null; end case; when "010" => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(2); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(16 to 23) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when "011" => Wr_Data_Out(0 to 7) <= Wr_Data_In(24 to 31); Wr_Data_Out(8 to 15) <= Wr_Data_In(24 to 31); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(3); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(24 to 31) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(24 to 31) <= Rd_Data_In(8 to 15); when others => null; end case; when "100" => Wr_Data_Out(0 to 31) <= Wr_Data_In(32 to 63); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(4); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(32 to 39) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(4 to 5); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(32 to 47) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "101" => Wr_Data_Out(0 to 7) <= Wr_Data_In(40 to 47); Wr_Data_Out(8 to 15) <= Wr_Data_In(40 to 47); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(5); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(40 to 47) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(4 to 5); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(32 to 47) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "110" => Wr_Data_Out(0 to 15) <= Wr_Data_In(48 to 63); Wr_Data_Out(16 to 31) <= Wr_Data_In(48 to 63); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(6); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(48 to 55) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(6 to 7); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(48 to 63) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "111" => Wr_Data_Out(0 to 7) <= Wr_Data_In(56 to 63); Wr_Data_Out(8 to 15) <= Wr_Data_In(56 to 63); Wr_Data_Out(24 to 31) <= Wr_Data_In(56 to 63); case Decode_size is when "001" => -- B BE_Out(0) <= BE_In(7); BE_Out(1 to 7) <= (others => '0'); Rd_Data_Out(56 to 63) <= Rd_Data_In(0 to 7); when "010" => -- HW BE_Out(0 to 1) <= BE_In(6 to 7); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(48 to 63) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_64_8; GEN_64_16: if C_DWIDTH = 64 and C_SMALLEST = 16 generate signal addr_bits : std_logic_vector(0 to 1); begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-3 to C_AWIDTH-2); --a29 to a30 case addr_bits is when "01" => Wr_Data_Out(0 to 15) <= Wr_Data_In(16 to 31); case Decode_size is when "010" => --HW BE_Out(0 to 1) <= BE_In(2 to 3); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(16 to 31) <= Rd_Data_In(0 to 15); when others => null; end case; when "10" => Wr_Data_Out(0 to 31) <= Wr_Data_In(32 to 63); case Decode_size is when "010" => -- HW BE_Out(0 to 1) <= BE_In(4 to 5); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(32 to 47) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when "11" => Wr_Data_Out(0 to 15) <= Wr_Data_In(48 to 63); Wr_Data_Out(16 to 31) <= Wr_Data_In(48 to 63); case Decode_size is when "010" => -- HW BE_Out(0 to 1) <= BE_In(6 to 7); BE_Out(2 to 7) <= (others => '0'); Rd_Data_Out(48 to 63) <= Rd_Data_In(0 to 15); when "011" => -- FW BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_64_16; GEN_64_32: if C_DWIDTH = 64 and C_SMALLEST = 32 generate signal addr_bits : std_logic; begin CONNECT_PROC: process (addr_bits,Addr,Wr_Data_In,BE_In,Rd_Data_In,Decode_size) begin Wr_Data_Out <= Wr_Data_In; BE_Out <= BE_In; Rd_Data_Out <= Rd_Data_In; addr_bits <= Addr(C_AWIDTH-3); --a29 case addr_bits is when '1' => Wr_Data_Out(0 to 31) <= Wr_Data_In(32 to 63); case Decode_size is when "011" => BE_Out(0 to 3) <= BE_In(4 to 7); BE_Out(4 to 7) <= (others => '0'); Rd_Data_Out(32 to 63) <= Rd_Data_In(0 to 31); when others => null; end case; when others => null; end case; end process CONNECT_PROC; end generate GEN_64_32; -- Size indication (Decode_size) -- n = 001 byte 2^0 -- n = 010 halfword 2^1 -- n = 011 word 2^2 -- n = 100 doubleword 2^3 -- n = 101 128-b -- n = 110 256-b -- n = 111 512-b -- num_bytes = 2^(n-1) end architecture IMP;
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_xbar_0/blk_mem_gen_v8_1/blk_mem_input_block.vhd
27
45404
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block JEmZWuLCZazscYOT+xp8tQcgcJoo9xw+tt17VTk0Ee/cpOS713F8lYXKKz7qKA5t3FpvNSj+LwOT FOkmwv2alA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block IW+w81BdrtEdSrXT08IyeN9itdwHkCyvXK5q8xF0K0oVKDwJZ55f8rUD3UDvvDXIcAjvU+645JL4 ch4hQtC7Y2FokqIuMtHZi7cNrCDQXzP1bGPJjMCZbuYkodHhhDFZq0vnJHG5npJwjfiUcFOs/BD6 321VxRY2LE90m/fkP5w= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block mn15icVDdA3CjzJnkJvEX3d4TytP/AnBNj79QG+E3lCes2UF2pZhqISOBY2uufaQ44Iz0NeMSC9n +tRGbjECz4+Qnwa3jPWzed02j/IF9RX7XCNKwHKcmJw/yHIa2jnhfXGycV+rW2BTSaOcvd71AX8c xlCKhnyKdiYayGwfRy3hMXLuu2cdwaKnu/UJ1yLUb2SMopRlt3x1/DS/ujprioIUaznXnUPKvPI+ tY5o7OvS4nta5AxgAsVoz+HHq/K+cZ5D10lOXIDOatM1ESgBnEMFZa0ND/EVV3+YXn7orwuIkC9e CVEV4WCQjR+/QOWg525B6zV97OAe2sVt80NsNA== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block 3K+sUBRgBhLO7z4XKbbFj5Dm9dnCnLXJtz9DyutJQ/EYt7E+7VQGJ2l3bkkVJ8bn/YxKZD+Rqqzl gzUxIUqSuvPPGmd3z16szdtLqj5YRAEZVXdNbeQ6P/rYfI4kn/0Qw+0hS8K2lRo5EQLrCely7fSf ojGqs698Kv3dVxOM2uU= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block EHFOd5L9tY2zUSTwaEQFpNSik2aT5WpldK4px9GxR5cWZzjNzosBm4ckg29GsE3hW7YJVXJwn2ft qvaRBZQhqD+DF8s0vynZ8IngOkOgp968BazD+XmnNms7D3n8pwwWq1DBwFf103zHNgk183z41Fww ghnhfPrVLnkJtKMArkX+0VsxpoDgdODsv3fsT7CkMz19ja8WwHPQXCAKUD3p2rptjKIU1LKJfHEW xgEccgVmdaHJ8o7kwvdgJQxZnf2Fl62jKVF8AJCrqXWKtvakZCxpEqbYNpoJ6R3Ns/YvtWdsZkRH TW3+uPSDGYDVS3Az7zcuFIC462DOhpyBpwOGGg== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 31872) `protect data_block pM+g3kxnvBshF82i5Q+ygcTP9QsJeu5VbQRhR2BL/KyeU2q/lYpYO4i8Ww2Xq7cSwMJ2HMPXzRou 9v5/g3/xjDn9EEgodM7oCQgHgK68AmEd/iLMugEzxr5yAmnYk5iQtiNpSiYo48fDL+7mXOG9fRZY 5O/mqMp0PHWqiPm8KeEBTXE4ZkK9V/NmSylvSwkBRCaVvjwiDerQClK/cUKKI7VXLljogUPrQKc+ quJ6XCep/GefqbvpGHqHLdU7AM0eOI36jFiXn5I0lAR9px9ZPUTQaYLA6uta5tmZIRjpIjBnOdxf SiEsOm6Ld9HUM9J/0j4P33bfzJMAvVKaNjuaN8ckKIat8liVQsHB7sjRyxU+HoOkyYqE1SPc/cTh c4Q5X+UaLRsR2IBG61+qD+/bGaXliIFh9/SXliOQGs+Xn1AW1zxJg1JOMVk22ZGVLEWAdrlWsCCD 2dQEc0xhKNhOiGE8j4IVDeOxqaGvr4a7o1jkRPncGeZGhZt5fXhgkzShcCFLYTHU0j0XF+F4152D YcyELlUWUKtI17jvSon4d0LifOSBFQZ+7PRy776QV4Wlahj+SDmtY7WQXj4qfeoHt/Gtm/m76kVL X00U6NxnW45QEZnygwU0dFOnJk2IeVLE1e//YlQMNhFRFz5vQdTmBVJOb3Ckk7FKpL5qwopFyoHj ilhw/Y3RUu2OKEuD3N5MQYT5swsBcXCF3hF7lHfcWozYX0JoK9v0HkjXUfeHxHDjk0Y/4WAyedNU kSGmOnYWFrqyLgnjS9WbbNZz9BYOTtONztBslm3MAYRAQUy659ZpSvr4DjBi0kbW3DOObgxDXWvJ buxKbLE/cEhKnR8bV0gsGj5BvvkGk4LWup2mYK8X8CLTl3Gj/w3dKrHlSBwYMCVZwyWc9LmTiL7s kvrhgfGb1fqgO4g+bNHKfjqR3D4wrJuFXzYC2flqu0T2dB48T7h6x1747tj1VMfj4ob42KMeeIBe ZaY6wNBW3eBuoRWVA+zLt9LWuSbZQFALQ4vfKMBv3PJtwP3kx0c3KjL7Quplk8PcbDpsTsYYJI8w o4k/OZ28ohs1UTx/AssoD9G8ZAmRUAJ5BHaJJiGoiBYcwdOnPdXkBmWaITeOLzftUwWt82TVUwT0 iFjr+EsjzoWfsE6mxgEfXx9Wcz40Td4UEoBXNKLaYZjtAsaJ5t7OG8m0N97swNnQQ9EIiFgHHruo sfZukdG/4IKUCPcPfDUNKXe8P+OWsIKl9OlpbNXmQ+Y6Ai9KmdNDJe5zQ3Zv9kmPJcIvz7kUdv1i LsrZQ+wfovr5EC/IgNrE8SYg6O8kPCgWLHYbMgc8/dcgk8k8Sn2SKE5qbrUJibxtVI72bXyPdYav 1Q+Pe2Fg/eaaVqkKWTZVp0eIuHKSkBnqjD6Ffy5JaDUmQaVvNGAS1A9svi8UDtBM9ow/BRAgEL2r rlVvb6odiNV8hF+xTFd5dtPptl6h+7jzKhDobwNavGqeeTe2npLm/AeP/+WzXTAXZnLYBuDlLx4D A1tuQ9ZLn+4t7TtRTuWxZx9U8cP/uGVXlTFCZyXiEOiEP5DoEBzWNuluiLkYhQH8/3M7lAfjdMCD yQ8dRzIp0i7TxwAGzXYXyCCZbT9bB4V5t2EYs9UVK8NPpvocvxJ+ZvxzIPY7TJXuWd388xlVJMBB LrqYvJraYedmuBNVQDkKvFsjAMCCGVAzk3+JQyV1hUCLCkqenX4kYLq7Rz5HDIvJ0DajVLJEYmwI 76SJFn/o48A/BZHBlb9YKl58zvG0cQaeQXuKKyppsa4FmJ8Gsg7v50/SM7RQJNMNMYK6B2ibs4sK t/HxhnMzHsBcxedHLVzA0BrjajkcxgPP8OXUgvBINFA8i6b2eg6sdsOrutvg7ABBFdVLgYnTQpl9 BL1H3YJsxAOGzOMW0VZx5lIvCcC7CGyXQ/02Oa13rn3Q/J7hM4FebMp/1l2Z9HeOr8TBFvkfPl2g 3WHeB58mrWmiuV1sjwlTtHEki/InmoCFOWh8eMNlKg5AW1wiXkYWiHANOUNOtflb6bCWalK5ANp0 JC9qjiB9rEhTyqKfYi1qPeZ60sYJmZhCAlVatqUPE2JyP3wwIQ062t2rxXERSbrTlxgZ7sU9hSz3 igN2bNRoMGJWVAKNc3u0hRQYO7uinbzVGFD1gnKeueIm2gyRoo9xSyhVDNTTJ8zZ9jBrICZbV60Q A8XbyyEjhTXcXUsM/iC6eDhqBhjXFs2Yn0G3fJthMjXkV4z+Xvu7n3RATEsvoBUrDBcIDTong7JS 0QMConELT2Dp7VKrHnF5qNnAKs9REbo/iQzlpnbo+4WSjpbivL4zas48bA1bZPSlYQyTvKbUcgK8 KsafcU0JvpSnQPM81uxTssjW9kjNjcMVy2I01iuxnaFjj03OoupHxs3HPVGzlY8L2uT9TXEXhZ/J tmoPs8Kfa+R+ZiQt2R7SMxj3J7zFeFRYi+VAMZKybBM5epTvETvGAHz3dWOkF45iv819n9sY0VZF hAnLPHenhR0HF7FjAdxy8rWK4kk25mJVA4fFiDM+4bdC8emJP3kQ3DUka5Mi4I9ar5T/JeF7WIPZ PlSK3vt3E4PjGDY2mWmxLBrREG66RVZr8UuV9Nz2HT4U2wjwlKsuFrOAAcZHEylIG3kulYS4QybU ZJ4ifoxgBzSSrxkqnVm7vTuXF25/2ErO4MK5s07Rj+wk1oH+EADxTjyVx9vEpz18zFP84Ux8XT90 8H0a+eGou+Opv4805bEzHCDF81sierR9BuinVkUqGyXRR6lwKspQgfx0GnAJzpLBYk+giRJgkIjT KIhdvGwYI4S7tOEOKJb+p5b64uEPuAp1ATsQesvfQMWUKLqGYtNZub0bI2Lx+JtYNwWYvpp6JigA maBc+0WjDGXPPuXSChVHTeVIi1oQUpI8gW+BRd6bTed04jpjdO3SAs0ZKh4aDJo6Pu27kbZ+xK46 QerZ1yvTpnv4vspqX5g3W1BGBpywQK/VLR6FLaA8IAAhqV3r0wmDYPxWvT5wDqnPWYmSnf7qFSDb 94IiGwAVUyQtSARD6MRMCD+s8gfWQgAxFmVuvNfKRTk0oLEdwR75k+/wDey0fXGvqXTv8wtd8zDL kvS/Y1fBoztCeWoZdoh0t3zMG9WuZjtDXp9ogZUQ0t7Tq15HU9VebIKaVv3bbemirt1Xh/Fd1uub 4MdBPH0zRijbHQxepznm5MNYymidMUmCy6RSvE4hjm640esD2iobK0PyvVUmv9RclVCxTx6RkcfX I4Wl07pArb/mUvvCTYDekuJlImywBqOuFc1zESIjej1qgFTAF7SzfU3oNcaFI9iOocGDJizbIRqH ehTcSS9GmuwRKFls3si/GZakT01tFZyNMvo5Gm7YJ6oGE9RSwfadfc/vv4kRT55PRJ+sUB9Jbsx1 A85PLqtE7ZtXOFI0QT4EuHsKb346CHg+DYAsOag9APIS9d1sUncxssFjbWA0vLfgaEaoKHVYokeB 93npH0zbiVUT4Xv1TLEIEbLTnEiZ3fd8WdemcTlgM0ae+RCBR65DI1AhasZjZSr/yZZj1Ktxf3+i u3oFtvab1dqVpWiiBe+ihXg0JNu0OtDpktMlQC2d3fBShOKkVQfSBbAyiokIIta+QkDokGLCysRE i7jPAFJ+r5FWEkSqTxclhcbXUCWd/QOL2cwYmiH2Vg+qVexeokz8URgoQfCOaGCmRTcf+e1bGSPh phNThUAl6YVLpsYdnb/RPr3MlrI9eeHLqnh4+gYxPIGkBmRK66+xB1rdf67Ed0FYg4vphYbWir5m cECMLc4o8FxoCYLMHYhzVXfa1SwRz4J5FYK3pePRKzrQZB7RHAWNcUzL8bevYJ/rmxmOBOWZS9KU GUxhPbhR/YPRsBDKw5rPUY1t1sQdbj90V4XEL9KsFPUoUeVD+PolIkXL1+7znp28yNHomvRk9moA 8GPM8cwj3SrRKWYU41ljD/Qm2n+SUMbqsWS79zapsPZKksvSGWbezRSZVOhnUaX7fMVOxA+WoyFr dfce+1pwjx+AMlJi+vzXeKXe6edfhcRdv9kVGJ0H4FRHeVBrcvcja/2VRQTrGF2p3VB8v4jCoRCT UTrFE8EkAtynLB4E9f0rxKsAZtqIjhlmPhMawcsdfinf/cJqq/cqYFiiRP9vNn+VXfvjW1T7/GCI RO4gLkzvQhvt3cXWjx6boR47SA6V+eX2NfXpIV2zvZAShuxUvu439eMvi/FC/WEI0bWFpQ93AAn8 gQUsqnyQuS5T6Ak3y9eM8UH0FxvMsk49v56I6Xvp/g4LoMcF8/d7ZKLQ2rTukVTDfAhmu3M8Acaj iXGSEwRuz1G9C6Ew3zGe4Co/VLyZSewfpq/ZoqSZVYQ/cfsuM47jXBoP4pBw4KRlJyObVEQtM2sF kImnGdBdVMUHCQiq+LbgDN6bcWQKZbl3doeH59E+ni5//yS/qnSR8h3AdpkJFnIfUTSpY0ienFAy isugD6ApbTKUyy6cilJjICc75HG4lez9HnRfmgnJud14EuYRZfzGCyBDHk0KD4jRpCVupMXIiXwg 2KuOpt1L4fH6p1zRBi3QPPQ4rBTkxK0fJWmQRrwjcQWVHi8TUkhdUs3U/lLnU6SAQ9mlD84EDOPc luqUh+pvT69hd8tlMtuM1kXybWd4QDK15Ey+vHqT6qDyl7+B2DgHR0Yys20F8rRxg2DEPCAsajtx WIgbaC02+GwRwSuO38DtuxZe1nnXzfNYvLWACTBiSD4rDRftkjL8mW1uUXDP91dzo2TafAuwixY+ fr7iareb6MUxojdhqhLg4ovW+AIHRh1FCN7miGvOhQEw0g9lYF65wQqvw4SufF8YMYlhRX3LIfWF YJKqjQX54WHIklHa55mdzAm5J+25T/7DCBM7P+q1fgh+cD5gTCMdZ43EXizSvuyAx6ZVuyQsNt7G 1UkL/jygdJB69QQ2cwW7K2d06lFQUBhZQD3n6h3Sr8ECpDxpEysAb7qI4lGdFokmmdqClYh2Kwmt g+6Pl5BsVPP74HXnemhLJbCiCzm71+5yvHZ9FsaRVrgzjjRUcZFwge3kjZ4JhXvSQd4EuE2YmvoZ 3tggzuGZnPR1GE+B/HWHX/Uzm1DTsdjbMEXxCHyiwVOQTtC2t5M0b6xriWbrIhsK52bkj0ZryXy4 lnBIZlrnC5PLfRCS9bmdpLHYxK4nFbnQQGVf9K+yv8btUntepPjLYypcBqUB5ny9RXwl1W9StVe/ mVtaScGIQoBYsXb/ouY49wWnsCwEJ/nUJEHCbL5Rl+ESOKtMvYPuFBgIP/oY5a2JWGl9D3aIFO5S xz1p4GyqbQQYfheKHS0Dk+k8GQsWv0SCRAPmPqZyR5rg71plEgZ/MuBQpqRsH5eHcIwsN4t1nE5T 6HX23e772oQOTkQ0gkgNPYHhCSrd3iv+9vw5xilU2ho1TLsLm9SH3XOvfk6HsLt5MiiMS8k3JOzI A/OklC4tCO2E5ntbvgT/TKWp+Cjr/RAl4yy1dge0NYYEdcDsdjc96bAf5wMaOUeMhi5tlIXo5V6C kCu1BYLFyBugPug3oBu6nCOBnat/oLzpyS77lxVuQcRXmv2ItBmenAIuE1MFxjFVGiNMQDltUseG 0yIYsw7LfiOpEGvl/QghhwSFqGW4sg8zKDQfIc/2GhZrsHuFT9Uo3uRYt4g8tkWpY1pdIoataV67 NB6CEkGCpyV3J0FPJ4IemjherPEIDlgGTp+Eauf4chrktx/rhxNtsPtz9S4GViBIoaK6isDU/th+ WjXHR5taDeVm3hqpzjA3TScYcw/bTtDQKGiuOb2zFd3Pc1xFirSimRkOfdaY8fg6D6V2jQ4U18w0 tXyz1RhK+KK5MflzsyUDGZeFV0T0I8a0VXCIbAGCZF/zb+1HuzzuUBz2YBrWdDYO7S2WhXvZp85d 9Zhbry8qyX8GPkdoy023aYMFLzh5Zny8k9KLb3ZRSRyy0LHX5XEvUC+6TuJtXWxZd39FH12kbRwI nJgHzWBjubwOlgTIE0TIQVMtO1aoTW162F5MKDJCR6kCCXWvEwxaNljyuNobGlvbUG7in+kYA0m8 bFEPx4yw/cLFmoSoBd8S23rlXhAFoe3zl1goLFNNRebZhPTKA5KX9ciBDl82QyJRsMUAw1UvaHBq DejAG+3KN1Kyk3fTmhamuIimEGL46lh9IxuCdp/7P55JqZ87msqNf4tBc5w4a++LLVJT0fG70RKd 1CRWVnGcOkLUNGdfH7vxG/ywY5vjQTAG7/S+yYJOLw5nqaBymyNDkS0CwJeb8pkrgZ+6aQf2aFNv JeFc1kldJpP6XLkhDs4VWIjyCxDEnBbaRAZHAANRLZk/UuUO3ZlKSWinZ8NHtiAFLkZCgCaygFK/ ZxIeEGDZ2fwLGtwLPVfggwgLWjoTL+tgwfJtaDZCdI5VclRT6vNnGEjEVJEZ27qIBDmnIGyxgcBK C1fzN7lTweoQGoaFeOXizUf5Qh5g86INtqqcRMyBC/q4IjYdbNf+RUtyYieISQuOttKQxHvzfbSl liSGAI5eUAvUkx10E8BAQujPvWUK3tZVg1pYIAdLD5pAxSIUprqu2W/fK5jGf+fbiblyNzccZElC ZblLCx9g3Yq9axjDh+XOOr16E7cDKDFwwrjVeX6EhM9Z1Z+pl9xrqGhvk+ugzfj/BkXxD8dP3a7+ cyub1HvPjQMudY8AYfIqFbALX++5bPTUVucDZwkWj3HLpZwFzYuyTWgxyL+FdXP/DC5SylyFlvqW xb1Win0Z1uswjNprtfd4F/n0h5ad7KLChtpahKKsu85U4AdsaA50T+ip1QEX2YaCSN0B0V1+NJhc yoTUVj/54DHMjRllPclYN1+pZjMPsIp3FA2LHf7EWYt4Jp0rXc/yQZjZyhWF4HwPLGMos0BiPG7q RCW/ynHpabPyRZPn/VICpeSSk9Dfp8BPYXPEnw7kVb117x9h6wH/ha9dtW1OcNUiiTYmTkl6mp0U Q0pMS/FCHAru0A4ZhGlSrS2SxL+ujXmAKEDco+jLCQm5UVyE/qatRH+2UR1rk0QXPqBcIjookY0s AgVTGghmvMkInvaid6Q6k+x3MPV9WWLwDphkLXY6uN21f7MmwhwcnEBx/1gQMn0RoihUJV9eo6od 8gaIkQ2F82Au+MM06OWyQZhBGc0cVjPPZt1Qtq4ACRgBIrZE5dt/A7cJeevYCKV0KiDAtoMjmw4r jMx+fIg7NAkDC0wHiGWFBjhdF3M4mGsBNIY0T5deYmGC5YZOWbPuPLG41UEx10BQHTX3McoA3ZQS gZBkAv+4HQs1dGRwBfI3LD/Qy9ztdSEvSp9DiLEiLE/GCkVzo9g3A06Ou6i+jsdaj28f4VjxS50j vtfGFgW9/C4s3OEUzssrGUB8syIwb1JFwnrYgZ3070SMpUs+FQvcB4Q9r7T4kL3pXvMOF2QyAGV4 P71b66L7y7Nb/jrkVRQIXoYl2PX4BZsaAJuuvszRuBn077jRdk1jXcMXJfWE24KrN3DDxY8uokoT 4j5Q0/rmqWmfzrNhI8ORfS0MKwhLbjEEOS0F4a+BQDH4LKXkZ6mxfFrREcsnSRDTUCbpALDmc+Ge GvY6suskKvx9oWVLWChV6fZuPbBpXGUFIL4TQvcLwgtAHs+u+ZIO1ehCEWpISfMA/iGFCet78Ho0 uS2wlaE4J484qtCTL/E4GmxYkGojaBiUYPgOgTk6tz5DRe8OQXlWlJD4KLs969VetStb53TuFCq6 uIUP0fi8bDaSbWCv3wORmm5pxyxgnVHaNnzq6uIXLi2wWp8HoXqtQB4lmvMhVZFgmfADQCKJPAvr 8Ld63nyTDiAA8qCoOO1jFzIXvA23rw1XEHaOegKkfXxAt8v3N4iMbIz9QPMCKAwroiCJ/Kken0SK wb68VFNkWc8LTtsosj0wUk2MEmsXCGjMaKWgv8bg1IL9ksPSYFc62lMWVDrH71QKMv7QYWYXB6Dz tWaKE1rNkzY1fDCnXqzbf56YbJfxQswkvIkc2CMWEAgsiwnf4Ms4+bJTBk1ODEv7NJtAj2U3Nzg0 ZIL5BtuEkgWlzOQj0BvdoPO+FapLu8rU93RhA+Rn0gy7dAsb8OomJfGLaDAX1Fuo6UsxGQM7Eo54 IFUc7AzL/2XsKWXJ0W21NcJw5W7vygZAwogiFK20RM+mbQSqfE2DcNLKbKqmnfeMPNWJO3j+OAW4 vnaqR2jggp3aMFpZt/iSc3cvEQ0LALSAo72KSQ7hfR1RukNPXQYqvUJVAEfv4xmaLjUhGOi7JCeJ Q3Ty/LC4uOFo0+TdMGQa0OECe4134rx/q3swxvX4N9IwzrgBuqW2Ah3vFgI467CR9Sl7XdKshYnY 2YcAFySp16Dekfe3xWf38plilnMkcY0m6CpBvx76n/V4x30pFSRbXa7WpgNdqVkl19MkhOOQhSrI GRR1TTGdOM1uBFZeTLHR7hOnHbw/hkAlBbtenkQP4Z50gpw+2MpKCbGsW+TIDdS5I7wEEmuHwb+7 Rq85PH96Bo4n0XyGns6B6peSKiWJW9rIyGKQVjfoYlL/coI0fRZ72rICJZRBN9BRBasbFDdclZws F2vAO6n/tWqPwhiEXQVvRS8KJVxTcQnMrMxvh7Bv38kaRls0+iWGh4cvbQ8jGrR6a9QUc0/l/ueb GBDfIqsTZG+Av/euEFkAw7+zB+Ac0GTUf6vN3+siIEmAn9aWkeHieOHARsuz/+lYaNAZwN+yV5sB GCzsveE4tUtwd12b55vlqSw4P+jrtx1lScMDta7fkQE7JTQOTzMBrh205uLP8sURDa3fenmz4EKf iCAlx9Bcsn68u2PN5Gb9QVFwpDjle3BBF/NlciA9K4Je5quXCmso0y7mWLb4t0+2MPtEWV69Qj41 hzJylcVOeJwJufOLmdrOvjGMn484F4HCrZpBFU2FZRMsdIHLq6nrCyJCnNteqfGGCeij1/MchZ52 c6PI0bAC5/kCsZBc7I/b9GtNP4BkjoKwpN/OsRSAc4tTwwdqeDFqiWffZwDIDSA4cgyaIZsUbrAb MuDNLkDM/lMt7K5Ktk8faPPJVojpln9NQU3l5imtBWiqxr5AIPOCNYPFH5r2eoWnonuNAZqRQTyG s6xgY/1u1/fYvG7Zx1eKRpI31elpxeBFoFyWHzLZ1zdtVBenu9w0kM3UPJH/w9KG5M66SapdcA1k k7sPHp6Tj9zZ0nhjFFSfLuf1NjmpyU2HwQ2e9qIh2bKS3kwHOKuaYYAkwh0uo2mtuyj7wxz7v3jv e+XFttEds01v9IvBS8iRGfj7fJo055FAxoBhY0l4/4T001h0/nhO0x4Aiogc0XhDyUjpn8ST4tUS jmjxceEKHZ4DO7penUWmcMSiJRbHrN5lxwF+Tci1+5eAT4Q5S/zbGBozhpxfLEMMT+Rnsp2r/ym6 Aa12dxtHsI+/6yJyYWnQvSK4tPfXr5s+7m0k46HQsNRx0M6L6YGuL7f5E50KQceWDHBEqGw6YvQG ehgW6ET568KZjPT6B4qLcxj2ufmvX9lgzvYiFw3vvgZLqJSelrG74m0Q3adQ5fsXznTgf2dHTy6R zgRdj6KUdKWNoYCYzcLf0vpB8OPjX1zUJ665vJCjU8CoGZrK7Mnb1+p+5a6am3xtJov4oV+hGZHl iwm0g8OH8uJnJFcRfosLK7lXeFkW75k/BWjC5dPmHCPmOBECtmWFFzfPprtasZRAPE/UgHQidPf/ G3W+KCBsoosdqDc5CDOqPlYiTwMNvLqTnXWWn5WtWK+G3H6NcCOIwlCelATAf5p8qjExGOWSIv6D dCjJOWtTk2ORk5XFD5dzJCU/r1MvQXmIcQWAdE5PvWJgFazoDIAJU4yd9NzVl8sqB3lKmx1Rvfzj OW4AEKJzwmaqjpGn0lJfG6wPyygb/LacUejlO1nFSRdlugotGwG4ive7XxaIf9tl4KlUYHvSV0Sz gpe9L+8NZ9oTxf/0VxmeTTbj4shRzCd6/HynaysGn0vLMONsNB4ORH1ic64N5BWzsmNJCmwu3Vs9 V5DnhOICKRIQrbUvvCHbH4qziuGcJ/JVzuLUv8BBsP97CFIBMlOcDW8saKvjsPB/py9bYngKpnGQ g0QCbvdewL9LxweAoI2rpctuH5sS5eayRppNseP/8NtBg4FjFxBHrT5ykZVLFLi+DX5UHCBSYrkX JR5RKhtnISM5qk7yvbvstn4n4seynwWS3oDdQQVRLpRGoG25y926BaYGHIXrkXknwl8u56zFoab/ kqWbO+9mhrLrcexUBJFNfOeCw2lOQJqDMiK2W/9Jr+990kHEfmfjE00A8kh7D9xc7ZyynKoQ/kbZ m1prwYaFAJXUX2YszFLJIKiFwCWV5aN6gnO5yRP2UbC2F9RRS/hT0/7vKNulSb3mvNNAKn8kF4h5 wFkvdUZ6mhlZDmF/L63jLzb/c3SMv27Vj9khQ1TDWxLKnq9IqzbN7QtExYsmDBdlfHdVyRF0kVKM TOuu+VW2+OZs/cL+k21LcgifWYMxbrVxdJAkgPD78g8NuzpvYzeBymJ0ZlZLvhm+UoiJPkpWEXmC rLDQtH52fpnYtSs+KPJ9PpaQzPxERJmymdKHv/BUKAZSNsvE0kkaNuIT9wiqDD9+ncdPDMHyC7eC mL/OwYds2OsS8A6FQV8TCuTJEfj9v8Ni1YaDuxRyJq2hv/50p1VqQC5NmyScaSS+IRAwRhsQ3BHn IO5imM7vSFKr5z53UBTPaeK0dF5+RvKnXTThHMwQQdTx2mCer8mOf/cAr/3gi+kFEKJEoHCuUCWE KVGfMiRunm6TXygg9kU11fdr02Jjdvj8+Q5Cc8cufQc7IhJ0B45egf8XtnEqgZxsBjFFMx5JHLk2 uX4G0bmIetihV0TvMuy7y8NYWPqkCHqlTMV7syC+7TbgLeHjtywxGIjPBO2JQ2iJRni5MVG0wNze ptn9WGImW95VAzy/RwZtc5QPuswFgOFSVOdKoY0hqQ69yH4YNcEgFEaqPkAMW6xlj8FX9UM+h0tk /D9qHeNJaU4BPrSUZ1ntvIkb42KZTwANye9tbqFesUHR9O32Kulf77YQOaojmwUwUYMutmbMw23Y MqRpxoYWhCmOtY08ibwA+Lf3BMCXpnosCZFaAPOyKWk/lmtNVtqHc+DyetNxxfyViPn5aaICL00Q A1+oSqpf3qyCF6BZEqp3S0YNw9p/1+zhmA6Ck+5qMDh27i7DXm4PfzTNqfjsSK/3sNy8F8rwAMgK kWIygZzPecDsI63I+Q3dDzTStYUhNOv2j7L/9ZUBuRn/fZpip/sH/Mmew/PcGqak2GwCkujrVdoQ imOAGGFCHC/oe1gd+Uaf6xAoG7KxDb0Dgwk5zBT9ISQ03NfL7Z4ls17lHfCVUcSLhY2bVgOKSKmd k4iLp6TS+xSUa/Wd5Ci1P2Lh1lhVfqRGU+e1XLPqEtfnS+Xvpp/qyK4J38l6LRTFNTBebnTwYU8z CiLrEpefyqzkH4/D6zVgeCVKmZYHUHvhDfqaV9kCzshO1Ufco/jfHvBYGwpP7/07X06SA4Zyx/OW o62zg6TN2kR5hyyNs+ck4Q11583D9wvRa//AsYSf3/dgW7oUEm/4wFtE4MZHz78wgGWsTlmdNXp2 +mnITPmIUxxq3EMl/Shgz1zMvX2hJK4Y7xRfFVAaaAYCfOE2qFKP5+6gTvmUH1O1gnmmssyCK7Hn Xlkbtjf5SuH0VWY7qRUQ45oBNdfGJanaCnmvhrd5+Du+9D+CZB2HwgA+o+jV5okQOb4Neu3gGL6Q rXNszzH4+FeOwfpwB+weYvZeB73Cp1fJahQja71M2UTQ1+tADl66vIy3hXvCg+fbar1Nq6eRfsad 90e+p4eaV6vImmhagYI1x0kv+AQiiFJtcIdmmnj9teqBSlUZPSCBoiuTsFI5O+95sv31cZiGmwAF i5lDEIL1Tugh6omz8AMKyVpecApHR2ZBjy8RVPCx6JgXOwqQQ6oOQiZO/9OT4dtIPHxRZutAscSP 1Ec7f68ulJDl9dbxdM5K0y5lrSDk2ebbuOKS8nqc0ZrgehcyVKl3vm/ImA/50WmEMWigQ+AYyosY v6VDICg0CHVyb2v5fcJ5XgwKBiLyBiGlOFQrpWdktj5p3Ty8NRox4sJFvQZtB7m/RrUgf0ZHzwGO xNRVKc1d2Ok8LmkK/cVnOK1w6LuACwIdJXvuInivE97yZ3we/fo7kQ0Z6D3+2ja4B3UKxZijFg4V wHhOaPP6NtXNkIYx54LJmgs8ClnY3nu7lv64CkW7OHvev7d629d/GFtb4bts8Nam9jO6JP7qwXYm 3k7BxPju50ri+VQRZWU5Tl/B6SwEUsC5Iab/CPKriiX4TnUVx5//p5vRoPklvV7EJazwr0S62D1W AgNYcH5RpXJJ0V/Y/mOmL9HejF0FcjlFSu0KvsaAT4rNnml0zMVHvTg4lE+/dZMu0DkQod9z/DJN SrH9pK2RpZgYuqBsqoX/0Oz/OdRULfY8kSgioavsChU5I6ewbSpcAdh6uJguQ8TPNisMvxXft0Tj cAl7zXmhemeyTrYyu1R8yTwUVQBy1NoqByf/qs8QLDssROoap0ETLxV1eAD7FGk2TxCykIu0Wurs igDe9CweUyt5Z07PWaJE4p/BiDUDVuuSQRjlSheQGSaHGeJXuLX61Wfz70fAZkR8blr4AB9nlul2 8XN4HX0Wwk49f69L/hRZX5exM5X0oPmK9bzRbMM2uyMab1CKZ1Hw59W8OPlNAWCXCttpDMmAOPHP kwNwLYWS6we2yPrLF6a1EfsBUjfBP1O7Yw48w00rb4IyJYuDRYzTfTseQ1VRkPAccgHjEUi0LJCk wcGncy5LxOesvFHC++mYnkky/gapfE1bLC04iktLXKFHMnnKZYIwVlrFl0J/v5f6D4JHnmTohh3F UA7SE1ulfmH7Y5f56IQr6bu7gYwa4rr81y11Z8d9Ho3myUVX/oYQZXZqQMLA+ds3F6O2i8p6FfMH Jobmtg7Quq0FfTBu3h1Meo3959tz6YhqvFq1FVjs3q6PfClazjVyT+TzOiPC+M77BGusaN3f2r2C od5FuaNjGWas8zegBtF65M6XKPpeDfxmuyrZuGuOtzgj3DUcG0K9pNPn0iSkIuQOv4vFe95vGcs9 nGfq4MG6SPdVfgblb9VT4CkWXz8F+2Z2aj7LnjkXGlRp20Dwk15fcfHyC4kRo2cYsIk+kjEL4szh qhG5dbpN4gLfFilRpGRUJdrSlkrcHi5dyjBCvvoiCoGWBfuVMQCrFARnZWmRaG5reTv0rMLyoRJR 7Lsag6zDNitW2b1iMydaWzYsHqoLp0B2Kdqy9DLvtxra2C3CeKQwBjEY3hpfHVf2E+d2pJxUqqj3 itKVoP8N0VrpmyMOhlyW0+r4kWivBEYJnoqfeSsRmMKHZZAlrvUy3ZE7vkTabwW/2Y49qsq2Bh42 tW9i1skcN75GyFLSmmbEC/kagoVUp4Eig9/bWJ2dzNuNQdzW9H92+HIo+iNmxI+dTPqJj9WNdicS KDACKYMdTlANDCsOhJRUGDTN2FEEMjSryigReuEwLwSO1EjH7MX72ZaCdtsVLBuLa7gvh5bVRh7F KKExMMZ0F1WOgEHwfc8apxkVJVRwXDAL8gYfWlY7v0Kij8HxRgOvDN/JKvWpbe4PatI+zfRiSJSB d3O60693DVyqQv9lfV1oUMBagSO30uB//LKmVS+N7rfRqtizpniHVRrQhYJMYgR55yMU5lEok3Ec 7nxYfS+iH2kb94KS6+M53fqHQFJHW1YTTmj2mWTr2qZf5B+V2sKuNdoqJEYUXi21/TjONeF3VEj5 DxBiTNOeHhIAYTJCzGD6quvVg8wIL0EzZMH5HHLXz4aB6r2SSnUAwHSH2z7zBVVOg7wZziNX1g8Y TkhfJHKc9tqUWgR70BWOtGJhUZ10qha7uRV43WtKFEUoDJM3FghyU4p/YIXNZ9X6cGErnPvfHu7y 7tcSOmxKquH/BfnN8uiSkUBfjH/3o4zw7/5Nu4tYRlZ06bmgLqFgI5B07WfHJCu+pcygDEpZwfH1 P13zKLz2Lh0x/xi5h+sxlQ3P5jonP3qWAcp8R6/28EVDi/aT/SdsLU0tQvTSgP9KqAJOTJ9tJQC9 VLTG9V19woIdz7mKVhTW/QccMUqJOwRsBTANkikAb1YoKh1mCwTU85BxMdT9oWGo36x2njk92Hz/ oiMQI8pfOi8PHl/bHIAGMDJsPa6EISZv75QvCjxkSCc4egIGmJpv8IE0o9b3hD4CnN4/hg98xXTD 26xbs1p1Ovyk7iPdYKM1ELQ323gHBMSOu2zs7Bi8n3hXdw7/abZ2/lWmELwOHqufOcUX6+rWl1eh gkssOPSeMWIRq9IrdSsy3Y4xCQ1b7Ou/stAu9TYC6f9Vg2cPE5chHjf4dpV98TdMUI9EpIpKCnvY xH5b8p1QG21mzX/2WDfCaBauF0qkdrpueCDbiSPyX/VM0BkJpbVuxZ4nTyiI64KJiU+Q5HWDVLGO qofYvcEZ71fVo/NMzaOT+X9gaMmtY1K4yWJRNS79A8opvKygey8Ygf5FTC8ePoDSBOKr/4cMTI1j ZXncdI0TUQuBC9Q+z0WJA32byDJsl8RQ8Q/G/xeGtDHwhWJUkuaIV+ScGZtmlphzc3hmxy7b9Bx1 HhgZi4vVM1nCOosAMZbLkqUmSC3yd9z7vvOZlRHRZZykXv/VAfkEpq6SAdJLNUatDNGwmiPtYN3T 7ktvjuylEQVwLw3SiIJHZBdyAqaUgbpBPvxrJbzaa+pafwMLS2HcAQnD84jICrhALs66nGMbeZ0L n8XS00Yc6hgkyJxIKeNtZXKET/dSvxRIP6m6+c+wUWh6o77RIxl4ZhTuwRQusgrPb9YCni38BJ5p DMq7kZFaoaxdfeVkoCpLfuoZN4jGUu6tvH20L8c2OJovKPINK4AiO3DUIES2/eH4yWi+x8X6DS7v umNlPl4TqTbTMRKuQUOwn6JjD9/oRrva9mdq07u05ftTTjwch82QQVFzOXMm0MPmI/8uVTVAFBCm FST8J4VRsZSQNJuE2x0pzbnQJQOF3NVg/GG2ezvNr7juh7TfXk1KZrj6EqJ/E9GzVugLAjWgiboA 1MeNllR8CSoR00uIZ/DpLhJN9PGtSeegKLohNq81JaRpuk+Re4fS2k7Rbkty9rWdT9P+cQVyhHY2 BoLKuwGnphXKX5xKar+Nz2JujA7OUoei1bSKyB6l5AxmAFUDkf11ErGOLgOSUzIr0g9yWmwGXVXX 7PcQlexT8cyiJzUvR2zgPufbfdRmIvhzWLPFEernkhU8a2US3PU0lweqIXRbRo0Pew+gv6NRge7l 8vR3ItXi91D9UG/qF8/6MhZ3KjTEUMv9GzOOshY8zOA/bSyYFc2/yewKq88ArKk2dDa9ujoC3rN7 mNEcJVgKGZeEwMDaKq1aPGsA/1yaU1HOKcGXalzM1nZFeojzKyGpnRh4VdJhqFro0/EGUcqePLUz ff6ska0jIPW0IUpaIG2cPUK51DDpjdITCKeizRHsXGSmjbupfK6h3hHFTXb7vRSaM4B2j2Kcvn/T rYxDVb3fcnRigiGJsjXlW6GHJEi/QE6l3ZoKnBEEpydZ7Vd3zE10XaS8BjNuO6nznamvAwCZSn5b rOhHQW2JxTsAo/N9TaXRQsDf+YviJWo/EJ+DfhmEsiHpvmyOvnH/bsD36gN8CNs5jxDh3E/PY4O+ U1z8yxRGoRNPN2eAz0Qqq1frXU8VcrAnv+FfROio8fwxHl/MsBHtj8Xef23dQVvQXUaLOVk+/GJo B3jEfPng/h0uEpjj1wbeDU2SQ9B1vICxOTWYVjLDD4rndeaP0gbQAg1dPvHpFKz4UT8dVjox2VsD G/rBzcLMn4xwlck7ky6otfflwLQoTkoQ6KgeVn8NVRg19j4CaKwZn+a/hbbvO4m8hL8XlVNpidpG BXoJYZEdr91n6ZcfEdTV+QDMKioj/TGEqbbpnzaBxCQz98HIuN15rW5HS5OIYFGoZocbObD2Rr+j g3qQ7HmMuO+zZi4UkaridZCZH4agr1AsJdQLbVlnsedfBVhd8P1Erw7CqNIWePzI0HThOhhs4m2y wcRmu+JycQciOzKKDiHT7tcnNjSnzKjLW48Pc1uWX15VAkEhq9UH/4aZg0t1HkAg+FJ1P7PcgLPP im4in28G4XI6VVKIlDs9eKImNwQ7rHBr8PObo+1NuU0H5uIc0xTrr1z7T5YJZZFaTlE3O04sUjdH 1bORNsGZWLy7OaxhYUVplqzOtWk4GRPIMPgf8JQKp9EP+xSTWAVkLgZtQ/RelwAItknXo5SUuPJM sF3KTcJ6QFDL9yRUQh1e8EUu+LH0tyPAlu7GHxBFMidy64hC8lpnwKrX+IvV5u5Ij4YCvlFVcb3p F8sadf4y7Mgcrz5TYqDKGEppJtSBN6tTxzdoNvZS3E2u6PZCWpqKLfSMerZICzCXM7znCNkfgU9I OYqAwwMIWxydRmhvBY9HCWIB8CoqQ8oYOZ41JaS8EgXqB8JxrIHlj/ru1fSDfs9edgPdtrNsSdZT C8U+ZeMKridPviztg8koMvNic4FGWfipkY2F2M5n50nI27TTwQ5KVThKYECSl9ivXWHgXJ/XFIrV ZUXxlyQyYc2KQLAKUjXlPSN2Db2W6H4jnqC0evCs1BluQjTD/TPzAs315aDkko2NwS7/6SPkxIOq clUtrIOJroi0MtsE+hNfmo80diBjwTqjJFNJlKk4POkLTPkNtzHuxyoUh/B3viapsux7CuW3+SG7 PCMAUVgIXYDKnUz7LDZtCYpeDTzdDMZi09aAzILM8ViqGcb4sYpih6/u8QOt06ZRbG/8cWEZApH1 DyIWJHGHVeUtkGt23U+8rZb0WrtgoQhfwK0vvUX27rESDeeRhcCwnzzxRcobQirehhK87uUrkmPK Vivg8qTeXfZ9Rj9pM0bg6K9mY53kFNZ/aS7DiIDe98PZ4i6fjtc5Mo2PAVGKQSez/Hj5V0jd1SI/ Sk6uwP+1TCqDmug2W5TnxHS1MNN7tmv1dUKpp0NjhdhmsHuBkTFPPhnubBb9Y7OopLL79LhGYPFu 1wkr+THtvWN79OYrDVBnJaOM0PZm4L7Yu+HEgFcsxJ3BTyOzhKH3bsot6GVy4IgLmWODpY3IhfvW d+A2O7oTZ6ffZp6YIg1ebID/ENwNALxl6CucZ6EQgILLbq2ufneR/oMxh+3HcXvel0luhdo7dHnl TJHuWcMLRg2ly7l32pLOeFVVePHZml+cc0tugTw8bpqeELfcue/NkMIWEwsaDZaPndtQhWNvqj9g 6H7ahKlbdsXQlVNzU5UWfeFrCcJGC/EyjoAxEWZ32xPT72qnitjyBC9yFB2u6Ys1t71mBMrjIkep j/H2SPtrc8lCSKnJmGsgnSVdQsZtDczlmdDOX/m1MvHV6XgWU9FueLHtbxIdvQIkkP7qcS7ZqrCC nzSBkcoSUEcYf26BfedZi58TcmfHaFDJnVDYAWcGladgLVk74XAAMISzaL/f8RNJC2E7qUgno1V1 VQge60rSbuxX62UkXwBfRXh2oXguXUZ7pkv8eoIKfb0oGtCra+q6fDsaMaIPhV/y4Vc1I2mfg/i+ x8uebZna3GDjIkKiOC0MiCPLrfnek2mfYlsgKZjwdoR3HhWsManrKdbtkFhpL+xIz/mDuCARhFGF lXKeV5e6Km/91GFeOWxPHr7gm3epki1WEI3rY/Ldblxf3ccDb+88bQ7yIBMHSc7E0l3iQQXJMPob k7ov9y4Iy5FI6JlKibsS460tkIDpMzRZ6SfFfoga+oSp/HqK6TMth+dumy7qGkMpmSTKVtnyDdLh RkoKlOrEuNq0nMzUQnotegAKQOuWonZCplykZvFTMR+RvBcRhboIfedTKDpOpSWFCAtRppFMub7N 3fKQNLc99ycr/EYFM/tNAQftq5De59rNXitHnbxjr2byCB5vM3JXVmwiUG3FqRUUZtYvZB0i9+BV je6i6cxoF13YxqEdaazw5fdW8rjYNyADCFd3ciP1LXn0Ikrt5/pLYLiTGXipSCW29yCT85/dhsNb RCaH+yjremhE3VRuezDs5gYZ2jOKtfWrTHy0RTq0q/26whDPNj+uk5uYMnXI8CLLAXAWH0SdW9uy AFTLn6Ytcq+l46nl0ZdOW31hfnuZiD/B0/QH7PkaLb90NyCDUkaLWMIi1rtUqWk2hmDpcVmv+UK2 RjD/UVGm+6CUgayR8IfRN83bgrJ1Ce4fHdCD/SgTM953NKKFtXctxEM/RUol5mlizXeTo55BvMhB Z9ykxoKNp841kuH7Nt73SQKmtTzEPJPrnFKA/d+DMNj9hBVaSXcBKFTboVErNVE3XFzbTl9cmcsJ HqihcDR2zLSsedxnlSfwqv9gFCtLCorJEmajirfWIyMUkYiw4fXeD2vdb1EsvC4NVT9ReMN3prFO wslUt2JOJU/OMPpVuTjv0s72C5SOMFlKIwwf38XdYxP+lwx3E+AhTPZ8RUTsFOdf3gbLqZMH5CS5 D2rLv24N4J3wqr4wbeBDROGzkdv5nGZra+q03PRqF5Agr8EcFmjzvQX18nixrst4hvw+6eJbGKsB uoZrV3HWYhFrD5GOnS2GKzhggkDLlGPXdGz7fWmWRmYtC19CBt3S48XRNf7bq7pmvbHw3pcZMJk9 mwSgPRMAlLbbxs9XD19VWFE9kprKYbealfHqTqPz8J8zzxcKfuDX7END7X9YLDS8SV/Hc7Bb06bm cPpyaEaPUVdPUjCdLpSgWfEo5GEmOXVhx5xEtLRzKl6a5J0cAAVmQhWKY/yRRSQmlUC8a7NO3oEP G2bWKLOy0G4mnFG6aiQxH3hneKiY4vsFsWTN2Q466nlHp/f+3mGtuEeXRlfyuSYAqKMB2UOEdAIW gAPzNH6mgM1v1CrQKkgEyEqAIMe6CI+s7FzSDxhlL0u13pe7id+jS9sJlxGlogQqIixgHHCYlycb TK3JTYrmMR4VX6d95hS5CGOGSiocqNzmgAYY9jBgHAMYLU/mhqMfSLITHxUM33V/BM6dq/pDaW5l hCkcImzj5kRAy1pM9G3fb/+mIZ61+6fJScvcDijWrRen6qb9003cw5NwMNeB7w0KVhuZR/tSnISP MlIsOIaf1WmmFne6Tj+uXSLYalGL3m7VHTB2sxRk7b+BzERjpX1JsD3g/mT0SyOdvtla/70lI04l gpxaBOO04ZdUW0PL3gajKxYVvciCSqO0XqmalJYjdXp8xwnKUUkVO3wIf2C5b0nP2Qvv0QSSFPYI AGbQm78f6VgnCH2LvG8bMw/FObsZ01psKU0Y7/Y+VJW9NC6uF56uG2BuEhgZ8jsswxmRQv7kX9P6 ZCkxkRkQKEzuotJ3EfiEQcyHe1Z68ku9b1ozgxIQbxOalgs2pPPWsImXWxn3O+S1Eq6dBzaO36Uf v4QYIam5IrYEwlu8tChRtzna7UN2k+Cyi0anUC0Hq/knjUqH4Dgx/Hsw9YHwu5IVJw/JCHaStou/ mo+0whGPIWK4xG8wLvvw7EKpN3XADOQ/k+4FzKkO+rUQ4t5KolqSOiiKeGYQRLxGBrGxzKMAMRFb rRHEOa4O78yC587hJbMcDpfD861FVpFQdEbd1c4xu5Lxv+TGK3jZ3PBB3ggN2nVjgSmq6TqwILqj eEPouhXxDXxkW5JS0aWlaiWQhaffLVkpxKy2Q+UiZ3rtloYe0BfzJil+wC8A8VGhbmqEYpwsBYdV yAd95LgA3ZLGEpkvTnlJBzQ2Tb2pvXDpWKMrU3E5cb6D3yt2v1qxIhKc9D5hT5LwMaL/cp3qoBV2 06i73L3TwJ0FM5VBIx7F5h9DJnklU7J4rfByl1zW1l1D394/gY3Az8sKD0LPWLRpDNIRjplnbfo9 p15sV98yTSfFY4MvIK03ZNoSMMJoput/cT6pBrx2Kyl5Pp5ibri6TCAA53oVmSumUJanNsqWVmMm bx59hso0tPcLko5uFi+R7qhbs9UfIf/dHQ/1n3K91YfkUMRCv8JUqV9MAHYtIIsVQKP1OYdrB7JV xDtudSEa5a4xvgUb0GxZL7oC4mswmHX3VQ9YG2XQorJOPzQr+yF992a9ws5ihvE7mRBGjzSUcQaJ 0snZUzlBbPaMTd9r3iwCddtoMUGMi2SL8wPE+Yz6Sv0HYgGXIznDTkbqeIkZy/HTfcFmQ+mxwE01 hWdQddOeV0NSMvuNxWVgZ1qw9B06ky3LEHWZ7u7qDOdNRE63n/LQjqHhuvmgUMTrrMVfx71QlyEM N1WW7uGtwXNpSqoSbYpi7K/12oq63SYjy3lmWFEND6yxKaCjyCPfTVWfc06izRrCxKka5EwZaBPl +UVmmSpy9x/YNpdeNK36sV44IPn8pm7x8MqJ9f3t7mPHZ/q5HF6zpy27+OxRU5akKijJzjlXW6ld r7H31wJfeM2EgxSggv6rdBvEKubW3Ac1MCm9ak4QlBQizsWJZQShDxt6Zy28NfkvhWXCcPpWK0z1 ooipwuxosonTUYeHOZP5lH8nKskzNbGXs/ukVd1M3Ereckahyvu/kOHmaK6VzAb/6WXQXO2ARtw7 oJRkJy2o1kVDo22Do+WZQo+k9xEIm4SIx/YKf4nSJUEnqNdyIu6DjtgywRvtjnblSskCEQJaYAni ZSyJMHVF7Gj47tJZcaXXqXv/5M0OU3Z1rqpZBadbGdHguX29W16vIyivEXijyh6E+FHKZRs1TE15 sMGbbdgBrd6Bapg5/YpOa130A+qBIzReM4YPSq2f7cMtSyJ+T4f1XNmI1XMhLOOHgM1nXRvfkFqT D0LmcSAFY0pive5Kh2MtAQU9Pzjaxuh3vUK1X+n236SSXndt63i+ox5BaedVVQWGESs3eETnkq47 /hy/ANzoJ/8rQaYVmTKg3NBnQ+av5U26fX7r1SQHoON1Hbmrcyne/NDycp/nuTAyI0L5PAnsl8zK 6ccXQfiznJAdTre+GW5VXx233iztU/NftKYxAgB6ht/UOSVDXozLoBlbm3JyGdFKHsVv3rWiesM0 eC5cPrsyM3JUC92dRQTrzWCE9mYALew6G9c++7y94PKaNIDMWh8rZUv+40aRU+QaUIZ7QD/EgaJ/ NKGvQH0GRenutZkDyWeVTrGLXRASLPoUPB85LiLK44nCVUYdczrgNoRS2HOVsgZCd/im4N624ZNc EBtqppv2H4HJz0rSkL9NPtfMhptzvMWxP/ZbXbQxx48TELC/EKoT+jNQ4ozsVYNtlPGueDny2Nmr k1bzO+LUELGyP+mSbiPvGCmhlFiFdk2TZjw8L9JZrZVE66sCJAvZC0id4DmhUq9KWRAbYTiyPQTZ ozbSczhTs6y3T49bzPe7LJGbzUg5wHhUTzGsI6Bd5eMPG/y41A9R0UbIWQd9HDN4hLjTTo6CxRw7 TXk2nUodOIMhhFjH+RJlbns4iQ6NXgNZqthbarYRlZtOvYzd2Q8GydBFL5b4zAK9MhTa4QTOxxmB YjJ5SLiwQSWvGapsz2xSSVzRNXbv5dQ8aXUW1ci/oShxuknYrGfruYDbl/aPk8mULBqFiWV9MK6W PsZBIRkpDgE3OeG2BARWFoUx3qa2gBwstWHOPlqgSJOIiiKJ8M0qVeRUhsIJb527ilSO0eHuZl6b eb90EjX69u9elSKKpVhQXO5Wg3a0rHlJUt+qJzNO+g+2klxKppurOK3TDze0TMraP40shz+zhYkq lbo2RrRsLqR9cp2Q6gPTVhdz1lQ+l0oF0hsVa4yFnMBov2JLWfe3lVZ37+Bro4rfnM2dSzuzTfnR yiR+xWuDRHjb7rGaEb813N9dJz8LQixKo9s3IwPDNwNTvMSn+A91tZWY7VJrwU59IqRiYPv+Oy45 +DL//sxfkB+xf+oqJMmGIBpRNOK98WIHVSJOkbTXqU4yhO6ZPW0yJ5wb35yQ2LxNTWixkf/NqBaJ GZWk69vPGv+7kfvkDubIwJCLv7yaJsk0JF1gEJHGoa0tEuTibxmEHXuEAUUtQH13jSYM9nucX5oC 0Wm2i7bkH4iAsqBOi+dBLlFnSyMjvFPuRB76Ia6Q2238LJ4iMkBc0/I3DoLxNtgkrNaGq+f+1pFP S7dje0cv3Aa6w7YXmvh5wHssI1l42Fp64C3Rux9yQqAac/VOkPx6Rt6YrPtwXBw+7FpGAaV7WmJw aQdck2K5oFf4IUAJV4CFefhhh3TJzd79/lOgWCZBqxDmgLIT3QN8QlidGznArXiUyi4Jp8k0SV+m xV3SFmTwAA+U2MLCK+CzEztMLLTBrmAF0UriTpvPZDoTgBG2IlJIe/VHABG+CJ9ywRin5OtVtTMx mNy7fJ/vuz37XaqjhBznjFmvbbfQzpD8YTri1cLe8W0u0PZ6DZEri3jw9LVlkHriUAJlm8wdf4j2 l96EVkZXZ4jfUf+NGxdBdq+UrCGeaVhzMRObLJ6gUE/KkzcnRWaxo3A22IHfb7vN0T7dQyXNFPx4 7tHShKUPI5JdQmjOOkDi3kKKHFaYETZLOO/+C2BS720mbNdcuiYApVbX8sHYdrVKtOE3h6Mj6YJP L5wDqE5NCtND3sBlQojly8yqyh2ykeHKA2Vpp1BnBTBIJpQmRVngdKMp6YHhTgmPkwsr5X+cdPzh HBBaULy+8e92c4c07uAjxCP6X/PUFRlWZSGrZg4eFhWKwXECGvZr8ahp79OHvhBfV99IAttMhz57 93Ws+7lteCLJvzAxltK1CovAfB5TWSzfWdzovXjWaMSLN5qg5VIH1/HwaAZt5zNGyObZtjyIobT6 kOMrpEDnAxRlqueD9p3sPXs3ddw4bzmRbNg3No/zSSd2Jf2TunNwAxL+LtYHUiyzjXLAQxeo/ME4 Bbu6qkk3BCPdCHp5VaZd/qpo+MWBisSAiuiVYH2T8e+L9OBijhof6JHL2EhVPsPFiY2GMTJcKsuU krddIuDHbsQVDiOan4SV6vSJ5MQbbxo2ICy0FG1yJablKlVI0LhhjoJbjfi+rIwxW1ikV0CAKEh6 Q4wEyQVkg3TDoTC1IsXYrBuRq7awXEIzSie+TNLht/hQgOjW+2VkzWWGhrFFh9wFdLP7s6ixs8jm CgGleZcQlN3skEDW0jfjsbLyposVXmnnwmrgp6evGQz3BZBfMoYSnczrsNZYALfV4OGXPKQq3Ag5 PCLQpoHvQGv1Hx+w1r4B1YgfUciuARTbZGpDNE9F+RF/4WQSMQuql+ljdUzrN3qIcLMG87tz4eTp r+TbXAg6v0mJVf3GBBZQZwupc1PCx/g/X2LkFITJbSHOobUEFd3xTCaMGxS1le1nUzjq0AHVxwrp v9OUdwu/Z6Efz8og+f737EXnuQW45SHXgd5TcM96EtR+0Vz1uwOP2WCjIFcX72OPbel5N5CdbkB+ GKt8vfBWrL5Ouo+zVKxSvIaFZDj//a1AGJrxKBk8JEtMIJ/4eRBV5ST6nXZUC6sk4+5JJX1vSyDA AElp3jxw2mOznM8kQnnTtzu/29pWPnKvuz6HAwubqUI6mI1Imj+Op9AkDszD2UtyQfow27c/q6uW Hgdrb1AW/1EEsUu0BQ/qPyJrt/1sMo8XT35P36nWty901LgSL6nVB2CvcBLQKQmKJOcE3eugkTCh Xz8cWMHZk9VfqFboP9UTgEtxBUSClLDwcWUHhOC52g8knjHqaLWsTG3z5SM0Wmr5YuAhzx1NUXDw BzkAl8gIkck1HtcBzu+RBMwYqXZmP/on/Dt4MYW7Y9oZkG6olDSE50O1/gJj0FFnrLKvJkXnWhuw VuFoGaMZDtlZpets6T8tQ6XpQK8SArblx20JPS5RNo6VJelX6Hj7o8kpN8jXD4O62SDc09UgjSqQ ukhTxQa+luIhsFAPZTqutqR78gemTKn351h1XAwfTRoGtVjrqtA441Rw9hzuUXOkwUitEaMzvnQR PidPsQLWbh9nMoPpQUYKUqbM9W3qM4fNn+O1cfoBDGjaHCc2Cf9vqTURVwwZgjrq8NNeXXdW65LI nnQfCkDTdZJN33gbil5xGrJUwr+Dw33j+yUQwHe7IahTkuU9dITU3bdV99FcD2eR/StkRR5jSxqz 6ySWkhCPYqC1MOkHpQjfdgrC7bZoTrN8waX/wjGu0RWpDTWcy4D/tD4NNQoDPFL+FUpGQyVsFRMm FfF5euPLIdwtmt7Uo1vAJfjYMPlNTIuorXBvn/OA4/MDBHoTwFW18+QnXRkl/c9reU6IDQHpea3z lTL0XW9eUyEC2paqHl5Ep3G4sgt9blY6UzID7LaGZa3S3uhSqDV5q9PuKJnan3FlWSSuT73btskg BGBzqx/v8ldTi1cO3BBQTblv4r5kd0n2DAhdPgQlL3FdfsbQzNXIWk4NgY0q54Oa02NQHRHU3rlb lQXJfbf9BHKRvxP2Ln/6gnuA9GdbbOI4T+PxcyzR7NVvGJU+3B9N8Tmlsw+amZdKzZwOAkSM/Qvy YCjQWvz9RuL5DqIvFx9iTBKZxkGcrDFmQI+FJLJmOah28OxPc6GZ1syAEv8uyzwxPaSrEdRRLGrN kQABua6nXrebSsOQFlC0HNSNd4OYJ3CLipWxCIj5bj+U3qQlRME6SQb8QyVqsV1gaGYWEixwj+ue V+JbxsST0oCdrXRPYF2ADcTy6qZL2ypJz3lD6euHZ0Z6/FbGLXw0oO3wyoS2HsAO1ro43FCjCMoL 5Ak3f2jmvOd31hivpAygNItLGPpeOpURAxdGGFvztFMHWgiaveN2wclTQxG4Sf1RhJC88CMVdImG 3Wvt2xRWxgcO4WtEFRtArzwmmaud12Zk17VQCu5zTrzK04dAnTU6cF5BC0OZ9Oo56TdjgAsWgX5I kGacC0qyBB1qgngueqhSxl/BMHhv+behlEEmgLaY4Mpjr40mA+jv6ElR4o+FFPaXHtXW+ekZx//V 8/cyvEq9cWYQymccyWdWM7uDMFaC8vw42wvLnyMXXQmo0uSoiFzB82ZBVhDmQ8QuaiDS3VApc5i+ 8wCggR0Ah9fA7lRgeEFrfzD1y2x9whuLQaHeConh2bgyIV+qjrRmMcKNO6sjkB6mwTvscDMeJu83 vx2Bq7i4nPkJKn8Oy2HeltFUnpNU1GFcCeE7G/IWxrNpOSbfLnZnQ0UnhJkyvGGcsCLwOSKje1TD ODJ7qwFDaqYYHLLQFvaPeqfFl0blZkSqO5DQEaWupkETwm1BdxNAjMJFErAskpaQV8MQfQbSVgGm kVlm86cmDggTMpEFypA8w3fm2/In/7oagQ8VXOVjAlLr5kIbGGw9EKiPnMXN8+mT1uNWIDstU+nS nU8I9bzQyVS0GQ9a9rZh81dMCmXLQkWLtKyy0yVG6jY1kOrWNGPjww7ypbEYa3IV5LtFcNdCvUAw MgeWCf/2mAOEy4LxXm/zZwrH0WJpL293WyqyVsCeLIh+urMLp3aKieDgsF664SByYkJMZraizCld 9a8SbPzhdm0hkb6P4f/4TQD0y8GcipJAMz2hJZTsktlWOFzJx9kFZvjG6wGmY0hQInCfIcIKPhJ4 TEwrd9KPyKwfwhRgmFzSWHurNfUJMk4Zx//jnP6cPM0Lm5oL8S6aOwp8PijfGZCII88e2UztsugO t1IknnjcHdLZor08t2LcgHxoJ2BUqwKiZM4blv3m/rmhUt/bqr9VzahysSRX+OIoFweDdNxGLIyy m/dBKEeTzLUqwGXB/tSmxlXAbTny7mHYRcI/8wprjl8vUDy9V33jZGTZitw8dTprLAXQPLJtHk0O dsl9j+ortRjhniGUgidBiGrnIglZ73ExkPOdBb16mhpp8pXiH9Yt6DZaFR2IzNQD8fGLdpXWJmIB J7G/CJn+T9PePSgB0tfKoPSYhlxdYpUz9KrorhpfI6n8l4a7K2/j4a6ovoEIpRzbEF9RHcZgL0B7 tEKezndIQ/AUWetnsTyKrqxeb5vPKJBUrIsatzwQEWL6UrkmvG68lXzYYrd6UOlqarGBMOfHzCd9 t5ZFz3QqcC5mJh6eBMpLwHJYTwNNIcr0uV0Sx6AxZIwj7pzrES4SjRurO24Rytb3aRp1l6Yj6m65 JdSv0ZjU+uuPeqzCIoYt/d6rb41EEGhz6nrmE58X/v/yPDepzPDlvDhfjcnqc7j9JBXKwfFz91cF TD/wT6jYdM1CtpTtLyo2yotQxSwqfm0IwfZ/CpRCMRmoQtw6DIbKM3bsu6a88XaWL1a4tzIJFIwd TcQJPIuvd17r+Rf5qnxdIniV6sCxYjK8KSoOOlV4IhjD+nj5MzJF21DuuHJMpEh4kpLV+AvC169x panyd8BqaE9WB2bLu6aqvRZTfMn5p4VKlXWHONlvfjlW82kn6kgvWQlt2/Gb4TWenAtE6qTQx5+X A04soIOLqjTA8uM3+ow7/zkKwLLF/Jb/p0Y7toD2H6jlhZPjoWngg2B2iUP6U0Gcp4yRcmFQtJvC UVSvngGDc3PfD1sDBsja/j4VoU6x1H9OYrVLHEFhwu4DC56YD0ug+yqu3TbBs7ETHRrOT1mYrihb qU5xYRwtdBZTzSTKuARpGvP71Z4W0ovRVRSBZlHAGB7dLZj5Ru7Qd6Sr+FDKhLo71ndwdNxNzAtv yVe4fuT+c+1QZZZe3Yd3O/zocFiJaZoKB025mE8X5XFTpR/HvJ/xrbAuWlTdl2+5eQB5fcMmCngy y9WPXXiYC2qr6rBT/GA/jDAZws3YL8UbtnKjohLTNHcz5Sd++HoH0QdOzNyjfhJmP/4/EK8cUBrl wV6Fx+lK7QFXa6DDJg4TMKYPcPao+9tqRgkKgmgtnxQzv5h8yjQDo6uzonrVzlElrLyFGMJaMQqo DbOmtxaodIhy99H3/r0KoIqqP5Bnzo9dQtNXr6sh2c7+3d1IWLDa85uViDjLd0bqWTeYWZjhZqYZ YU6A1zMkZQHjcRUZULHN2Sa0lyfO0aj8I+w6dC/vnhOYtZVxEoCUUWGSxsNxvgxdeiYdVzQ/JX51 YNc8CofLHZyc/7XCH+7V24wdPtZbJhsy/qjyk/oatwGWrYIi1M/0DAUV6r6FkxJ8tdPmjPeLeJL5 lLpm8vVykvQa4TswQiqXKIIb0B9pKIKBS2zhikSGxikAhVk2qSClCHQFvCrMVWpWueHQXZmPpnTp zlowE+5j/WNDoa1urZNz7on3zMtOl7ViTEm02nTefbcTG0+/0pff43BIlY3fVA+I4gF0uhIu34md 5huotv8YHT9l9WagfFfsOp3Q/FnZTm2Bye7cv9s8Pa0a2nVM9Q2OsIus97ZutesTvn+Olcehbwe8 3hqwst6ir7o9PcSiUrD6DADKjZD9i8mKmNzzOEbCEsAeTsJSk4Lcrh8yW/idXQ4VoGQFXJIyc1U6 blugjpNkEHzLwcPORv53z1XS2NAO1ztaxKOtrFPcPqusN11CHrEjX3571+JMcvZvoiYPAgaK8x4B H+9oG2u69w6howP0zo7KXKemM+OhyZ48tbMkELqaIBlFFwbizxD3QEQ8SU9Wm1GZi4SsdguLluur GyOSSClkYuMLhV5VA6j7jzSBLXSppgzwEBV3WTIGi23bzUUqPcZJ/lh6Kd0h4Yv5rkpIM31LvCkI 47zLOP6UxGLMQAg5A8ZPbuaCuljyIvK2LRMbarmZUKQoAQtTy+1ynWVNw4rFadGd8gyuwEzZofWG KlwqPmXUUtG0ID1m9ywM7L/cT0qxjHO6SqEhSmh2X1N8nG212UQh6f+4No/iSFOqGP2kW2PPxVUj zvkzhO5uNsbZfEDpT8rlJpXJjUIVUiBOyG6AW/5fL0sdkhoAr3tCvX9G8yc6YxehoGvvvagH1agh TGTwmcu27OpkrJiuDfCczlvGncTSYMfuZuI4pBuBbhmkIKlsFPqPv6SZXwWs+XjdHEUaYXKm+rHI u5lfOwgRhcNnj0DypQMzHmkmJX4apCUj3094GakugFBuK/f0F1YuWqMNfwQOI++2b3cCXGXW6c8e I3cTdVYFd/M8L7vEsLeJKj77s0cecuJhR4hKDXlnqve2xYewXSp9olhamzJulIjbAq8WUJRjqI3m WopEoYPDwJyMaN6iZhUdzllEpx73ZC+acrT6KeVFcqODG5lzbCSvCJLJ15QM50ZPMzkCUu6muQUW fNOngIEAq6W5rY8IS+fSz3SqIv05FEcQ+u6mCAyYh1b5yRUREXYP7oX+mC5kQbdy+Ps3K6hyqZ1v bqEnBrc8NUX3fX3e+HhMOiXnRAWuflrxgygwfgzSTbAc/PxEDTJ5po1cI8FNVfgHhdJEcqbVxYx/ EHAdx7v6gYOG16T6RfAZUpZzn5fBO478o4HxbG1ROyLxKy7P0/W+F+ZJRaf7GwHRZmPRV+9145iG ENXC7L88Lx7qV960vvFi1H266TbTmDfQo94IwBtePPO6fOQ6oL4ZfI+hYrRrwKMxjpGLlCBw8hPC fiYBuLMkbOwQxMgxaAYOmoUL27Ym5GToyh8KyzUO/oHW44eY+IOnte3WdYJMF2+ZhloaoWhY9DLQ xOYSG6tdUbzlKfsgIKg8K7BvgRimPS8xPQjUW0JmbKioY5HMslG7+jEIT2+I2Zu6K6Am3rm8SF9B 5wfcueHQliLWR6fqI/SK80SK2QxqTiK09mFRLiIXXRbUcN/ChbyaUorwJfY1CuGhW7phZzvZ1/RP FD6UM1RiDRW08v2KO9ep06APZgGmcF2YNF7uvyWZuBx0WbTK43sJUSnQm2rcBFb93AyoV27/eXY6 v5rhHZMF0odEt/pcatGr2CbzbjjKGJlNGbSE5QdANCtlK8s2NGk7xJd1zoqLmGFcNEM/BS+Ycyvc vDE5oujCIvBATt2VD/Lfw8gvx3CD5SWkdHFCtq59gky8K1agZ/AmQy7EzfAfpG6//QV3YxmANela nxBLJ2LHRh7vc5fILuyDXP0/LHPcpeo1nXV5NrOxhcRyWy+Plr8y7LidBmiR4q8yL82O32RpBk03 lx1qiqbbLtiY6pcGRtzF3Cjh4ixzI0MuPVDI8fQHWFeLep6xH+dT7BhFNhYEZ5Cly1N0Vmk0r/hs hLNawgaIWn5d5fKEYUAGUoj7QPUzwmv3VpVRQlZujpc6wpMhRKGCx6lAfLA6VMM/HPGCBpXRAYoP aMZR64rWL6H9qiplLKeJFq0ZEjA6QATkXa5qeBwyfy7YRbCiZNPUw+ogW7HGWT8XrQFuVEJ31fY2 bbKEO+sGV+9uo3qgSpq1/moZeIMKIsScqXAZOlIqV+jibIllGM6kjlrXD6wsov7l+mgsYfl/ji74 H3ugm0DMa4fPgnyIabSWO2bj5rho0EEAh0r2HcIwv9Y3t7ZXjcqe4MHxEoYHx5dctgkgaLdCGlVH 0LuJt1g1ng6nMAyrQxQw5ePkIQfa6mLQLe1JFe0SY1BLo8EHW+8cn/rEafGlqiGlj9xLeFNgcX3R 7ZlCrD9utbjBcMAMjDadhTnUFKj6uUXXMzO4VRMzUSlyKU1zMX4sKn1577vx2qN5vMokfU0Q+xAb V9FDoLsEBCXjVC0ihj/ldN84F3/VjnQMj620bUdofV03kVd3v+7Mxi1xbIFAQvbRVSjtancDMQf+ 93W+dBS4Z4cEs+DVMz/G4CucGvltCQPEELG+B6Oi649eVuiazNMSYE9fRQz2VnREBoXot2QM1su8 oZBxU19bTf2+SbwndNcBbVUm/DJvc8WTi/j4Je2uLkDRdhh0b9Lb+HQ0XnmwiUx6Brv/u9K8VuzT 3Pz7bRTrfXTiRkBu3gRzYv/9eKHrNifWrWW21Fp1/58ACrbVRvvUgeRtNNY9SApPVLDW5niKA7vX C28Hhaxs1UKWSVGdyqcrAOPJ4SYjy2FCeuJypof+82R1LpKFQ3KRI85AvK/ndsoHDhxwvI1gswFu 9Nndu0qZhr6F7dSCGYzDVBqNe1kSntkMEeOi6ewl/GhCKp46sIon5z5y3QUzWYU00xjzMrj0zQWu asDD6EmTeKftOPtM4xLRvRTl3SJwGB06ekO1T6zyQ+THwd8E92Wqdiv/OnIfV2wY16bb1xLPYFZp Ltmh+DosWwY4ykT0C/lltuB/Nr0tAxrBYB9IlOOTBbtmm60K+LJJ23QXvVOoqAuJrfFOpCuZB62p CvRez7llmNi3OY7J639bXZsvMlLS8vUnT6+48JI7Vk7mcQtDikYRrZ8t1pFjs14NbTlHjKN/Shh9 bbE/t51QZtI/H4ufWmYFqDlX6lD5cttus2cqD+HNe8Pr7aVxDVusgmnaey/A37H3goiome2Y3vSq jjfI2zXWLhL7WfmxhnEAFw0/lXI4sMq2HigmyrCLL59jG7iOBzkCGJGGklrM4vFW/c8rA5z8CUb/ 1s/b0btfnOqz0pScbGvWaInasaYwcCfc1mU3TL2xhAwJKNf4CYr3mvzxYGLvkxWCuJYD3rihn5C7 5R88LGqSj1v9gS2rSn3u4vv6z8MkkdB7yW+WUE4rUsX+xU6IA1l8SM4FXE0/JDOwzRvGXKrdr8Qp gO1+srn6XiyAsMG1TjLTAQ/P8V1OC7qxChFDUPSUI5TF6CXXMJRtRgWuSbA0rO2bvo6RdTKc3XzQ d8GDEkUsBARr4dgoisIdbymKvs+FKIjgEhlUtgfHs3GcIlyn/BI/SlaNfq3n+PpWhO86Q1xHCSnC EIkrDuARAibhGgtXEYX9JFvy0WG5rRxvGi64Q+H8pvxnf6YaYKyKKSZTMj8cqDM56F/64TK96FCm R2goHEHWKkziZfRJNTDdHgOexgW4MqYjAdY3SHtF6eWkp2cIHj4GFMtl7G+mZNlgEsb4q6iwfP3u oZSQ2IEbMwvU8PmzOJo4sS8M72D1nlGBB2vgA92TTTSnFDxX3DGt7DZwcKOFE1bHVaLOqjxBYZSo c5R+hDGpJpe13SbGPK7ETD/Z0++YjcyI613bZZ/pkbb3Nc/VNrraDI1rQV3poASaA6U9/eSPOSHj /RR+gHnCwKZV8TQPsfnej4WuPMwXyWzCKaCOvgThKWxspeu5SdTweUDG09dmO34oWQMph/aJGh9h GMlZeM8OpzD3S144qxYJm267cxdO/MCMMj6+yzhREGZIo5txLXlOl2BzqNJUnRX4yjtmFEzd9Mxn O+XPVp852/uEfCyo8o5Wx42XJx/CrMPO6g6GdvEzyBkjoff8tiJPylJuz+s+qVYZ3QuA4cfXvWuO rheBB3Eg1WdiRQC1H4H9qIKgWxQNuyuBVO7i/ha63+LpdZw2naIF3Sw0Qf4wx84MbnTf4cmhE+jU Km2W9NnrAUkog1pb3iv+WXrxde7uxZSb2EoD8qktDKTLgJ1n9EgDG4+w1j/3tsCtBoSNn7frIrJF zF+SFsRv+kdL/w/NWcwulgDa6U/Mtm+/5mRQ/2WUbB7+mGZzESiN8FA8hl0q8o2foc3HoMwzglJQ hn4QPP2zG2Ai/AAprOs3bDYI/wp5J6B46kwxXM04Wkz348MEsvSz4wOXzkTXJhc7o+PzdPPJmmvJ /Iwj6OuyqZZMVlSzTNk+EDYW6zLotV9hkcGIX/pMHOsLA1It+PiQSForhs83VZjurA8xAEWOEySi vBMlYFPqtitJwY/fhJEM/ivBzC88LgJkNGOTdzIgTb0dQ3NtIjybk+s0u2BJRuBFLi3CLKYkV9Fe U+sumLVF+qJnLvfNhMiqKDq2jpzn0k+1NKO3wfEzAdsYbYUeH4mfQoIb1BiHg6k8825GGv0PlMky JdbgT3v82sqtL/YKdl4tdDnNeymu5SmP4LwkDlw6YtdMcNhVFgkA7GjcpudVQPTMcZa2M742+DSl NEnuna8aeL2aTcrAocaxqHtEgGwRpsNBdpewb9ImugmSS34iJJzSqyQpEiPvMk6Nzxk/2JrdXUUQ ElPMEbVAXCXx/ed5GHAGunRJe8YeqjCPO/ekwe6BdAO4AFyZXrRkTQusICmDIHx/9eZhKG/1tzla 3IkOZO4kHEnLbzbk3Bb1T31p7hr39inarSC3n8lQQ3QDP53oqguq2h1fcKhrjtjVUlzDK9VtBZOj XUhhUq5AHA1LXMMlQboPzZBu38FKrj4q58/fxV409Aj6VmCaosXPkyLxDruZUajXF1jzDnSPAubv EKxjCsqSehEeMVJS1KbPGd/NmosMzyJ6nFAxC+epcE6UCaYuCN0YwoFN+KWJ10XucR9piT6LfVIx 2efoTYJ0iziGwwSeQ6z+MoUuai5dPxvYvmhBlD6AuiX9LPc6owSWKxx4hQaBuKgbWXHNUYj70E1O Rm5Jscs5op8nL5AlDEhC0x0BVGZVrajjUhoATf6zXC1ESclhaVW3GVNVOmUTA1KPy1+Uy2CoDj1r 5d9k2nGEjf3oyJEvCmM4D/8+898uftcyL5VX77ZcPuRd8CG8Mczi1OYST3G5N5FamBTu2CaParEK 1o2pmb2msMahv02OOM1rAwFbuAW5/kduxrRWAAVGcM62h9fTgO2wj9KhlUVO05JL55dEMPv/OMtr ph25UhqT/V4c0AyxlJPrjc4zdH72KOS6I4AetmjWyXlZBiMfbrhmnkK6wgbaRk34sdq1FP4F53Sc jQN+1wstX38GrSZZXxw9z3L3Ehp/IR2O4+Jpwvf58+4Pa3XxWo43ZB7OO4BwwiSNYR2dHM9qOlrg mWhbBEk4oJBCQnjUPFKX4b/Apxc/h+OUQ1AEDWsogF+1zx3YWgE/ho0GITwNBvj/C5mYMO9lYq+K Tkf9tUhk5H72Z2Lm2uA+6lV2Er9TsF6IRSgPZrctyahXrdPamMoiUAICDwC2C+1GSBpSHxoJ9RJR kJw5+7DSKvO3LTbGndtaccptshIK65R0x9U8xKZ+kqS/tmkNrjGuD0bhXzdbrQlhEOHCl5rD2FWU 2E7yUQ2iuLqPiLn13Tc+zF17lSZz8YdftpwtU8mDldAhmnuPC7pNqIxDV4LMaS/iagC5w28XWV44 OJyIKtml2wrd2/uWuwP+MLY4fscq7zni1m+1TIofZWr/3EdF9FyqWNMlq6Z19/4m7UktoYs9HYPC 82lc5+TJ9nar6SGVoZZrMP6VP3/0AtRj07T1Ni5QairhVk1oh2o6axyyaF2ugGsseEbzvJ78StkQ VCi5/Ayv4edNW8tUN9bDZuPeo9j/knqURO6cH30AmFt+AsrYH3gf8B1lgbu3N4i0rMY/qAWOsZWz rzYxhjPb+0OGuVDgWziAlzJESFPm1f0pdoDAMVTs0kmjebCSR+tgEpKojxDmAfgPB4hlzC6SsdDm T9EV0tpdMNeOWuD2MtQaiblVUzTL9f/GE/DxbrgKSZSqs/ZVGarOGWQCZx+QyUYfvlCJnvwLqM// SuA08q2S0hxZwLdL8CBTfaMwi8fePY87k8XTtLcIGIVFtOqDom6Yui3GHo6uzS+6UMQiiHRg5gZB oIy9i/5jZwfcTfJWBMrQKNRY282KA+mzSagc69E5OlOrLb8KdtEyD4mOP8zJsZV3V1cRTgifvkJq gPrBFpKCRFwx0o/fqB3mxISWasyztytOpAgAfnlidzb7mgpZkKYQI+drqZDUALKUk36hHvDuOJgL dbGd1zK0av+YwgHLuY8ehFq0N0geIRtQgrap1YqW8DITrYgGeFVqWl2XP+UlgNGC9UdZ/k5FX1xg BK+uKLlGH1ZQYC2uoK+du4ZlAtrY4p8A7JouYsFibvvdTb30SxetbpwS/zx43Zfcp2A63gbQpHhE 7RonsTxB0Rf4V/RT6xtRlJTW4utUJU4j1bfeAxtEqg87sWBmiwU/qjLbXIh2zQC1qaKgAZvyglqZ onaDByzG48BjdmpHpifVE8Je9P05DRqOTSOBMQ+uJLMaBieFIUrT5Z8xwiA/HIyfwEGwGUwMBnlF twub68e0PeEW1vBUGCHruwOGn4dYOfZVPBys34ga4UI6Kh+N0OHlurbv5KRLxDz0n24SN3Hidhls cwpBl+8NXCFlpDuWJB7QAMUzc2yUl6WY56oUr2mWz3o8vCwq6v81/DAfWU0/0YRUB22FC8UOcQJH 3EA2y5GGTXmNlIUTR5wDCkY3NnwPekzQJZDtc6YrTEFD7f693JNaQJziBEFlfJcQZgKPtx52mKjR G5VqgzTVS5rTk4RxCpj5O07p4IXl6rhscKNEAXxYtKuIJ8o10UBN3eqEK+Mhu05ffVqS7ioCODal X7IpO8/eqolE+uZVjZS7NIPoAGBf5eJGoBqm5Snvta/ZPS8lSDRO51P1QxaP3xyEnfzhX08r7iPg xEzWncOAOl2aiWvv8KcI47ZC/ZLw2uUN/KUqVkEENRhEPVi6kiloomNun7tNV5SsJjJJMLpMH4D5 czjG0UalCUoXgjKQuKmFvv5yNbhbXHYjpTU8RqbhDUbAjGg9k2oGOF3nNTATdoUqYU/5FivljgH0 KT3xhRE9A7IX7N0sUHdrLLOh+dbsiJgAdikS1lIo4g+VkOQdSJ81E7Ln539nc/KaWvI7IN16fzZM WR0MW/PFlLVPrrszPJhIckf0QFDm0dF4xj5d0xD5DaGVXwb3hfoxdDeduH3b8q2DZl0xw9MyFZ8B L8lCJyckLJwgGxsMDNWw6w+QfXnhsiG/q0M0rS4dY7LZWM3RkyZWws8O9R2Oa2K1UIci/bpaW+pX /+r7myUYPU6+QgFK9rX+Udg51uX4igVN8EMUFSZcLlAsWpS1OOadVJf7gbShnNRdeJWLFrBeM551 hAS16cPD2epsE5waQYZI80y7YW3Z+tKWk//BRPd+vKvaYZzK5LExBTY3cN/s8BwW208uuIrChrp6 zJPguC1MDqAgPUltt1+If87JJGnHV8smM19aGd3R5/zy0XQO1CG7l0EkQnoLJTlu6D5i/oVFQc3h juHatXILu9LuNT/A6X5OSr0IlIvr7L7ruxCjsPn0c0NpixEQ0qcBgL55soAy5cc1fmvG+CxHYTNF 4yDNloV/U0utIeSL3ZtqnRWMAmLptM91FRc/Y+aSXOF9pdjg3zln++VoAwD2107SzCLYips3Vlb7 PQfghwQtl5vYl3UiqhTr84tZHjs5e9zMkLjH3v2VXBomQIi9+3t9x4EeOY46ZXJt/oCk7j0kG1BF G3EiP4YQZjYeybpb272oODL7c49KIMABidnwmNZVRligWb7/y0jRNq7GodjNel8p1ZkKCfGqSs31 7OmfXNeznyUja64qv3nyi49juNX535d0+VnciacBcsR0Dl3suesxU2N/jQvlZ5Q9BCeUIhzBbkrx QVCJ7YfFRxpXer74js+gKnKdx45uh6GWw9xgm5FPV0xjpfgOa1FahRJxRHUF0Sxqnq0+swUhvekt 3kq1N/LWdEc8yvkXJ1EeMfoj/BlO0qO/mAdgRXm9sBCogiQP+3lqndzdapMTiXo2O5Pqqmfrxs5Y FCRTN84L2Au9c+hvf0esWjCTVpfkfKH4IKxwNvbX/Ov8zRhKYEMiAAR7P9KaEr8lxJRhBEdkT+sC ew2ERanLMCU5pgBlftD22gzAJ1E5wxaSKTLHhXnX2QPc9zp0pcww9sZCCx3+o2HaBgUMYcHTubo7 2jNxv7wGWlFcnnjjFqntktagy8mUtFi+PJR/OZ4Fu+QQbiwiO3PUygeMfrwZHHMa8wh3bX3PmyZL wRPNEmuJtgFvtb7bwxNts2DEG5q6zLESWCaVA0OJw0hNSikIJAupVW3XJSvic4ZGHjOGHpkvLvhx xYAmTqhpJx9AnJCnq1DHN5wTgS5UOrsdPidAAyoTW5kcd5EKub5nyG1mjcQT2ptOwd/Io/bE5ZTC p8MgROwqzWu1qXukLhjsA2GKortlNXM005IPR9yj9LWoR3wEuUybaZ1r9tKbEMaox873PtEf8tK7 5uVLh3eK2jg2zd5LPk900ewV3nk71XPL83Na0z9270r48RJbWiHyy4TMHinpADvTy+QUL+RnYIjO Y3uM6SOE0gkBE/6i87tBzxwIwACVsokg4YU1oxsDZbYbDyOoWP4Hdja7CtuuzSTKUh6XAgMmAp0C Vzu/ZwMIA3Tvr0a06vcVW2BPkAgl3ZhH+GIz45sE8LhUmLORd3m9/vQKFu4j1JQfExArGcRrkBUM wyIWQqoRrp+KyiOP2rPvOIMOOxIRuPEkYjpVY1mK4nydLfYJTm4Up4PajwClZR8YE/64XlxnsOqe qDaxyLbnQ23jGKl4cm+w4LTGn1dv6cfwMDHqFR1+1OvbkVSduxqrb2/smggLTLBq4b1ZB/GsCct9 b6nzFgxPq+awp+9ahgkUdXoak4h1WwpxuH9+I5PevX48CLUNPLI8sZWfB9wSPvaCuRfOS0i6VeoV rbBdQZHyZghwmEXOJTiXJoyK+/5VVopookki4/h/o19gCUXu0xS9w5T9B2bYZW2baYvwMYv0Rn/h 3aN790z4S61a4FkppcaJP/vK6E50fj8Obu8R0BMX1PjHhs4t6WFSMUGikaS4HXgIQEv9hEljnkyN ivJFaDPC2U//JMoQORAm88C68JXV2nb2LEU+81TMyNYw+A2HxlpTjj+HGTU37qQbjE9YWNN8M2uT b2boDtFkfI24gWktId+mFhvaFzdY3GWIP948L3W3kq+3jWmfQDa0us615K8NXXY3ZKh7l2gRDIq/ aRxn5HlmQtOdY3VXz/59294xpu9dgsvRj72dkAF/iSJY48LyuNjYDp0gTVokdW6ISo/idcB8LW3d SKn0zH2E57ELX/eRvM0kun9agqtp9lt+riWtE3I+bewexqP5lGXQ/2izVNoQQrM66n7G3BQU01Qt DlazbWlolYXdjLC1RerkzJ2RJwV0sDxOVwwKFEmL/E91IgBzXcK8YOujjjUn0CHChQP9ZUkek4KM wNpwsYdYMnP323QMt3w43InoSjCCMgTOILp8kQyIagv8hhNSkeZ80BeCSyfAdlJGvRGtTtlfM9GJ qG5CYrjzGguA9YfEx6deJZmiXwLm6BSpx9N4TozWHtiHlaaU4H/sGGy44RBs/1jEYF+4/b1uoMPp ldc5xG642NAyDWeeptDTEJCp65vbegBqwhTJiB5wr1ChCXkJ66X80/1rRxkwqbplu1fvWtfmRVyF FlsdxwN1jIynqCvIkFSdEyiSUiT2iwFh+Lbu2RA75baSwfwJ7sxwy6Muv/Vazgaa7TTOveWtgjID uT0LvJHhQ9TNwEqwdoO7PnCRR0eARlHKkgWEDvT6jCqpyZjn479mpJVsvMf4tuCuudPxUmUwJtMP 1cht/mBy/wakFR59/bfwm6W1+RwaREZIbekdJe6gY/1ummjjRYD1SxF4GO4MHiW4MkaNvPfEWxgO TfHglZrX7n/xE7hLbmDQ9wpudoRqr07dYpEpM3QBz+oIbVA3sYFrrsJlVnq9qgbX4fejvwRxMC04 m3AIJ3/vc5wmUA3h3XnftmXo6dSNDxjc9s3CcrASwm7FZ7nr1eGRuQoaZInIa4+IBA9icMMgyiOf wdMiNoDGVIPjZRce/jYTyn/kvR6P/y0KosemaEmlzLIKD4PQA+hCncNjW2mB+Nr6Ywvwmm8kKXB/ 8IcMpLolQuCvSJ7Ziy1LGTTDszCYfLWvvuAC0IPMdE8n4uz3yGVex1tlIkx1sedwtHQ3ryQbBbzz IuIVQ42YIWv6tt8AxFFh9Da6PE4QEJDyK7fEtEl3AUIWiUF8wnn8ZT2WYXmWMMKu5HCRIdYdKJm+ y0ZFDujfpJsrfDMlymjeOSmocu2iBaIMte+iKBMPjLOnqaVU2zu1cx+mk2H32gc3yZWfiyqh+2pB AWT2y+BXb6wpzJhlSLAYdkkAj7VGV9Y6hEmTjeelZpczyIs2hoEPlJnd+htZ0Aysf4NFDK56Xki7 G7TSL6fkKycN5wio8moJPa2+cAGEYQoKVZT1KmQPesl/uJclPnouJnBYuhy4iV2QV/4uKAdhu6Li 74fCQKVG6SAtMxtavjgb7OhgJv50nkV4z4AGPuOVmXIUtOcG3RBqoFNtUFYXKoWwfbOcG3Ugq6Kz Wp7CUKIG0VTVuL+PCp+v+IrRo+xpIZGJykFge0wcNDNO3hbPah2ti8fy2NK7TI/Ew2bfxmP+B9Ai BGu5LmvtutZJORuQFOK/tT0UswjV7Tu3GqNqn2STr3Ua8uY8wY/JXj17h3TM7T0qVYRnceOOnuMp 8GyVQGW37ZxrWt9xGkAZcwFLr/1EahPrsVc2d5bTwOhHZeq+iGiy5iLdw5lG3FEU0vjXks7AkEnf EYiivpk615Tm6cMRCR04mYCt9lmbXI8iuZU+OAX28PisJ05KliZOYzdnebfKNEaZ1za1/13QdgUB zPD+8VaLzuwkuj0lJk2J9ylWdPLN/qNCCnSL0zggdzkEL/TrIpU4MEnPoojFz9CsyQdk5eVp6Czb 7SNRnb/fmdPfSdTwjXaagusqDsXMtUIouRyD5rz/2K0vSVnSqhcwZUeBSzisco1dkAkRV6B82Qmy iJFGxRbT/uelnGgkmQTxUNaVanlLo4TDOCqfLEbEEU/xAorRtMTvjXOSV4boOiHrqkSF9NKvaLuY +o/8aTFjiNOAPtUrp2J8vLo5fek7Zzx2dEznqKU9bcHpp3uV5hS803iq41PbzYZLa+CMEw/Hf09s dlN8qTvWlxeamQ36EOckYvDjr/S4jKMEGAsnILOeh4TTfj1c5rYYExJgB8ny5X9Pwwz8my1d/4FV R8/LhAOZOwQdmLssFfLCxqxpUTnLy/LzF1adq0/ZFeto4a5fmwRsy07tWSzuj+0WGN5kZ8JHHcQ7 B5LRGNJgE8vHfa8IqKU8P+p1jYeF9ZuZY1gwtRXHiDy0+jGaPp7G1S7S+Yrn396+gqn/zf885AKE nPWop4OTusF4WbgyWFiCXE53Irz+Qz9M1ZrZTI9DPM+/+nepVv0oJCVMXJo0IySboXbJx3Cot6rv Gmjm8lP8pOM1vxdSp8MGBLjY3uIPtvifqJ3TXJsn4SeHm5hUPs0hm0dCn006FUXeOjKOViMISARA Fr0lEZv510sbSANDV7nAb77IiuwR+Gm+GfAJ7XJfHMhfsnjyAyHMKpNsZ5D5vVECJJVk5jaK+WzX A3si+ivcyv3JSY3D+QR0Kn7h60C+RoCCTMtIybD5G4UaUdTUQDoOP3QFLMwqYJcxhx0gg7OAwXrY 7UtANLUqqhMR1MNVFQ2eOa9R7K5vbZHTX8MMoC1vqPktd0Ko+597I1N49+BV3RK58CDEKbveQT2P lwzp3DFBJhO24pORLWrw6GqNxertMdL57l7CCEBVZPMv8rpiR2tU4MhlGtGOLtZ/OYU9FP5xxhuF 2E8+jJISLEBOiBTrtpnM4nHV/TRyjTNJWcTiVpnqpmg6vh+DOgGvbHVdQrqqXGiqiwgru7bSBQdc Z6uYhBfIrsG5FHxvrSoEfyCLEaVFo6fAnEDodL9sULnQTmRU1c0xgsvOoQi0h+dG1vTpdNXRJT9k QM+FpKg4HSZIoDrhTL2W13tvLNMAVKp9mOiz3s24ZOX2pRYB5towM6/nLvNvrWhjSPFVWysw71Pu XOE6sOrzNy+CF5Fmzmn9HcC5SdtpsuFQYHAuZujdah4CYdhvLZDmBnPdJlKKkl/x8navIPVmkEuy hgepcMS+9XMUWf2waSBzaxqwxmrvjnH2qEeKBKhbvJiUJNxDAwN/LlQ4DM220fcUt/+GmiOq3DiS gi6jbzE6KGN3+b+CQ2gw5hE/BtY50ClCdnlsU9s0lZ+wwM2VfDiCOMTPcxZ8jmpS3AxUX5kYt9ML srl4E076cru/msrQDQiQzETX7rCIZKb0Y3ObJFonj3b9mfGf2to6rfrQJl0iFvL+te6KMZF3xs62 gZzt00TUogMh+pX5+5PMBil23ZYVk8Eang9pwOHth9W0dF6GHVpap/hkvh0XaSY/fPv4ThZzCHJj 7TqdUxXTjLWsxoX1oF2DibkFQhISLvdO8BLQ7GofXSm7TsoQHEfiZ4OWxwtXUJw6EtmVqYnZFpjq KNUkUsdOJU3G7hXDBlAH+E3M5c6o8NmCttk83U067f3L1z03zkST9KC5fBtH4W9xQtY/r89GN0Zt Lx/N+dK8fH9OFoiw++FQt0lkG9UbCL8UnqTiLWPe1tWIKTx9JjpcvK6EmmXFShx6+PXvlk1p+9rW ltgs6o3jOuzEgENWpCHrE9kSnTTGrvogRRv0ZG00bePg5VpuQMI6ujHStJnSUcqRwQH8a8UGU4O+ HD4ylHr3kh7dZDCxLBiXBgnXRYlGjCvRAXGXbw0MPhG685dgKUQqOEZiWHDsG2dnxztuKmw41LgG PjKexNmU8YgEgJ22ARBRP4kZ+kXG0thRc+az03sINKsJIXGAFpppkvz0Gu07jHhpvr/FbAvxVAHy H8A7IfU2FF6tAX73575+foCFtSWtH3Y2LqvgAvFnKMEnj2X5BiVd5tDWlW8GSt7vwKbn3zkfojBf vq2eEhtlgAh+TgL0e05+FegG0EwCcsn3uA5iLKB5UtvsUYeuj5kd5XlNUpXNRE/Bj3jRZdUcVEmJ WO/XqKRU8u3GomWTD/iZFpR76GwgsCe4HQjkpapUQYFcyanvYeRonX4NwjrfZSz/1xaphLdp6hPU 170FtsBgYODBeNj9Igi2f1mZ51ucH48zAETVjhR+nsDoe4dOQBLP7X0u/CQ+cCWYLjzgQHTpJ16P Z6Hem0/56CvnYzI5ZIDL/zGjkiBILQXW1FhNySHMhb9ODT9Fha4DXWr2a51oo9dMlnC2BrMi3KhL PivNfPnDiW+S4XpICaGEsFYFo8Pmhyw+lDH2513r4reu0mhTcwE2hUnzg473VDouqwuIRxpmN3eX HowwyFdkO1mfSqTiSy5XF5+16ZI9nJ4DZBLyBKbuQ3BH80Y2WtIpDf/bgVmGVhX+irWcsyFYSe49 uoshbuEdfJWeJnbT40eKmPBqVG1wCSQH/7qOw2lq0fcgWnhMh9Ni/gqpTJSQp9njfkIOnz0xl1gS aRCpN/LhOmNQkIpS+9bpbsU1Heyhxhl94S4sT/Fdw9qTmKgwNzAscICchnHVI/BAXNmOq9Ymu7yS 07hfdap4qgTV+pZND7G05RI6b05ZnI+mHULEtgMJKqWKRzYxcmBl5XMmGs0aFVW1UtJrK4K+Uf4r NCWN443r23qR3L0cAiSApLgodAa1j0/iKcSXsUK0sVzywKL3SDaMa+YC9Ty65/pzeo/u/l+y3TAG ShVyHooK/9omOh2TVY2WmjmTScaFOjs8iy9uHeQMGvU+5Qzsr2VGmKyzKx8bHDwr3eB2vrNXS1nr GOUwTGFpU4qv+7FA2Ymc9IvLhGhpiLXZOHLtnmr416tiKD1OHp+3iUU4HgB0QUSyg98ieXZlSrOS +IBoALovPudT3U0LOlaz7IsmSEw6Suy9BJNzo3Hexf6DXv3Lp4wU1kGanggyL6i8S16MPTK7Dyn4 ocrBI+gB7eJjnUYKnQzt1283I8F8E9vMANUKhX049It2drHianZdL57vZtZ8gxTJfqJcugp5RxHG eu67sptpIAfSFO4FIV62JmHTg66jryisf9n8qWiA4d0mzgzI72CpadIOKWy01kyrachuxLPOE8xf ARZacpIPqfKhPusrn+JMjmEeTllR+LO4zZvd0n/xG2zvIHCB35tjucuRJlaPx7ftO8h0ZhLVp5N8 07h4yGoPQKmhcynj57x6J3OzIatAqCVgSDHcpML/NKFKQev9SaUWclOw9Ny48gwazaotc3+TPlHt g2nhHvRMySmIL5LwZqKOb8Ou+BVaiTdBkA/kfaVYWqLzYF/gnUiLI7VGGmHdGFT5wic4ppvdQmPj KlOt8i/pRfdXOJBtKrWeVHefi/WzmCVJBgqLJzThNdBnqiHTIZi1SN8oSttSKwOyU0RV+LZa1f3z 5JAVJzNT46bm+JCJyNyfMKmIfCEaTETijwV+VzqD+MCe8AfzFDcDG3pACsGPi4j75yPimfUpg1+y ajwxLtUkNb0lXDJYzU4iBuUFAwB8eUbRatdUAB5D5jz/jUQSqmpBV3GeCF1S/dNwLb00WGDSq5ah GuAFCZLU+/8jZU951DLb1Usjm3r9oUjpsQIFZPYktzJHn++iwgoPpmoD++6cYlcPArvy2v7tk2tT 57g42N04ECkp9IrdlVErdrJtRC97AdAg45oj5lkKWUMaPxeGgCZAWZ61QfmoBRTi1R78SzgToBVd L9Ld3Xah9XpnYKSKYqpJnbEYKdFHMI7mZg6fE+M7CA/GxVUXFWIY/20OVzoL2r9GyVeCXll0naPi nhiS+NiwJ5qltnZbLUVr25z7TWIgA4whT7ccwkRknra5SNsBzSbj3zZ4Le63Ziz+BV6ENn6HaV16 kWTcvimuRqwvqtz0qX0oymfMkrZe3whxuB3unSmljz/zbyyfQzStZ/sc5k56IvNyGFYCWtFOLAbX G5aK/UDnwJ3EIbe1GJUcMYdZDCNcafCWiCDznYTyX8wIuTagedvQ1qx0PIdyhnV25izgsIdHI7Yi +CWuqb/Crb7ekYCithBIf1Muh3V7bEnnnusbIausOd2j2ASHYELwawP0QDWH/qSOADfJ3t2rbQF8 txc3Pt9nOoI4 `protect end_protected
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_quad_spi_0_0/axi_quad_spi_v3_1/hdl/src/vhdl/qspi_mode_control_logic.vhd
1
143649
-- ---- qspi_mode_control_logic - entity/architecture pair ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- -- -- ******************************************************************* -- ** (c) Copyright [2010] - [2012] Xilinx, Inc. All rights reserved.* -- ** * -- ** This file contains confidential and proprietary information * -- ** of Xilinx, Inc. and is protected under U.S. and * -- ** international copyright and other intellectual property * -- ** laws. * -- ** * -- ** DISCLAIMER * -- ** This disclaimer is not a license and does not grant any * -- ** rights to the materials distributed herewith. Except as * -- ** otherwise provided in a valid license issued to you by * -- ** Xilinx, and to the maximum extent permitted by applicable * -- ** law: (1) THESE MATERIALS ARE MADE AVAILABLE "AS IS" AND * -- ** WITH ALL FAULTS, AND XILINX HEREBY DISCLAIMS ALL WARRANTIES * -- ** AND CONDITIONS, EXPRESS, IMPLIED, OR STATUTORY, INCLUDING * -- ** BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, NON- * -- ** INFRINGEMENT, OR FITNESS FOR ANY PARTICULAR PURPOSE; and * -- ** (2) Xilinx shall not be liable (whether in contract or tort, * -- ** including negligence, or under any other theory of * -- ** liability) for any loss or damage of any kind or nature * -- ** related to, arising under or in connection with these * -- ** materials, including for any direct, or any indirect, * -- ** special, incidental, or consequential loss or damage * -- ** (including loss of data, profits, goodwill, or any type of * -- ** loss or damage suffered as a result of any action brought * -- ** by a third party) even if such damage or loss was * -- ** reasonably foreseeable or Xilinx had been advised of the * -- ** possibility of the same. * -- ** * -- ** CRITICAL APPLICATIONS * -- ** Xilinx products are not designed or intended to be fail- * -- ** safe, or for use in any application requiring fail-safe * -- ** performance, such as life-support or safety devices or * -- ** systems, Class III medical devices, nuclear facilities, * -- ** applications related to the deployment of airbags, or any * -- ** other applications that could lead to death, personal * -- ** injury, or severe property or environmental damage * -- ** (individually and collectively, "Critical * -- ** Applications"). Customer assumes the sole risk and * -- ** liability of any use of Xilinx products in Critical * -- ** Applications, subject only to applicable laws and * -- ** regulations governing limitations on product liability. * -- ** * -- ** THIS COPYRIGHT NOTICE AND DISCLAIMER MUST BE RETAINED AS * -- ** PART OF THIS FILE AT ALL TIMES. * -- ******************************************************************* -- ------------------------------------------------------------------------------- ---- Filename: qspi_mode_control_logic.vhd ---- Version: v3.0 ---- Description: Serial Peripheral Interface (SPI) Module for interfacing ---- with a 32-bit AXI4 Bus. ---- ------------------------------------------------------------------------------- -- Structure: This section shows the hierarchical structure of axi_spi. -- -- axi_quad_spi.vhd -- |--Legacy_mode -- |-- axi_lite_ipif.vhd -- |-- qspi_core_interface.vhd -- |-- qspi_cntrl_reg.vhd -- |-- qspi_status_slave_sel_reg.vhd -- |-- qspi_occupancy_reg.vhd -- |-- qspi_fifo_ifmodule.vhd -- |-- qspi_mode_0_module.vhd -- |-- qspi_receive_transmit_reg.vhd -- |-- qspi_startup_block.vhd -- |-- comp_defs.vhd -- (helper lib) -- |-- async_fifo_fg.vhd -- (helper lib) -- |-- qspi_look_up_logic.vhd -- |-- qspi_mode_control_logic.vhd -- |-- interrupt_control.vhd -- |-- soft_reset.vhd -- |--Enhanced_mode -- |--axi_qspi_enhanced_mode.vhd -- |-- qspi_addr_decoder.vhd -- |-- qspi_core_interface.vhd -- |-- qspi_cntrl_reg.vhd -- |-- qspi_status_slave_sel_reg.vhd -- |-- qspi_occupancy_reg.vhd -- |-- qspi_fifo_ifmodule.vhd -- |-- qspi_mode_0_module.vhd -- |-- qspi_receive_transmit_reg.vhd -- |-- qspi_startup_block.vhd -- |-- comp_defs.vhd -- (helper lib) -- |-- async_fifo_fg.vhd -- (helper lib) -- |-- qspi_look_up_logic.vhd -- |-- qspi_mode_control_logic.vhd -- |-- interrupt_control.vhd -- |-- soft_reset.vhd -- |--XIP_mode -- |-- axi_lite_ipif.vhd -- |-- xip_cntrl_reg.vhd -- |-- reset_sync_module.vhd -- |-- xip_status_reg.vhd -- |-- axi_qspi_xip_if.vhd -- |-- qspi_addr_decoder.vhd -- |-- async_fifo_fg.vhd -- (helper lib) -- |-- comp_defs.vhd -- (helper lib) ------------------------------------------------------------------------------- -- Author: SK -- ~~~~~~ -- - This module is heart of C_SPI_MODE 1 and 2. this will generate the clock -- - transmit data and control the _T signals. -- ^^^^^^ -- ~~~~~~ -- SK 12/16/12 -- v3.0 -- 1. up reved to major version for 2013.1 Vivado release. No logic updates. -- 2. Updated the version of AXI LITE IPIF to v2.0 in X.Y format -- 3. updated the proc common version to proc_common_v4_0 -- 4. No Logic Updates -- ^^^^^^ ------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinatorial signals: "*_cmb" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port "*_i" -- device pins: "*_pin" -- ports: - Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> ------------------------------------------------------------------------------- library ieee; use ieee.std_logic_1164.all; use ieee.std_logic_arith.all; use ieee.std_logic_unsigned.all; use ieee.numeric_std.all; use ieee.std_logic_misc.all; library proc_common_v4_0; use proc_common_v4_0.proc_common_pkg.log2; use proc_common_v4_0.proc_common_pkg.RESET_ACTIVE; library unisim; use unisim.vcomponents.FD; use unisim.vcomponents.FDRE; ------------------------------------------------------------------------------- entity qspi_mode_control_logic is generic( C_SCK_RATIO : integer; C_NUM_SS_BITS : integer; C_NUM_TRANSFER_BITS : integer; C_SPI_MODE : integer; C_USE_STARTUP : integer; C_SPI_MEMORY : integer; C_SUB_FAMILY : string ); port( Bus2IP_Clk : in std_logic; Soft_Reset_op : in std_logic; -------------------- DTR_FIFO_Data_Exists : in std_logic; Slave_Select_Reg : in std_logic_vector(0 to (C_NUM_SS_BITS-1)); Transmit_Data : in std_logic_vector(0 to (C_NUM_TRANSFER_BITS-1)); Receive_Data : out std_logic_vector(0 to (C_NUM_TRANSFER_BITS-1)); --Data_To_Rx_FIFO_1 : out std_logic_vector(0 to (C_NUM_TRANSFER_BITS-1)); SPIXfer_done : out std_logic; SPIXfer_done_Rx_Wr_en: out std_logic; MODF_strobe : out std_logic; SPIXfer_done_rd_tx_en: out std_logic; ---------------------- SR_3_MODF : in std_logic; SR_5_Tx_Empty : in std_logic; --SR_6_Rx_Full : in std_logic; --Last_count : in std_logic; ---------------------- from control register SPICR_0_LOOP : in std_logic; SPICR_1_SPE : in std_logic; SPICR_2_MASTER_N_SLV : in std_logic; SPICR_3_CPOL : in std_logic; SPICR_4_CPHA : in std_logic; SPICR_5_TXFIFO_RST : in std_logic; SPICR_6_RXFIFO_RST : in std_logic; SPICR_7_SS : in std_logic; SPICR_8_TR_INHIBIT : in std_logic; SPICR_9_LSB : in std_logic; ---------------------- ---------------------- from look up table Data_Dir : in std_logic; Data_Mode_1 : in std_logic; Data_Mode_0 : in std_logic; Data_Phase : in std_logic; ---------------------- Quad_Phase : in std_logic; --Dummy_Bits : in std_logic_vector(3 downto 0); ---------------------- Addr_Mode_1 : in std_logic; Addr_Mode_0 : in std_logic; Addr_Bit : in std_logic; Addr_Phase : in std_logic; ---------------------- CMD_Mode_1 : in std_logic; CMD_Mode_0 : in std_logic; CMD_Error : in std_logic; CMD_decoded : in std_logic; ---------------------- --SPI Interface SCK_I : in std_logic; SCK_O_reg : out std_logic; SCK_T : out std_logic; IO0_I : in std_logic; IO0_O : out std_logic; -- MOSI IO0_T : out std_logic; IO1_I : in std_logic; -- MISO IO1_O : out std_logic; IO1_T : out std_logic; IO2_I : in std_logic; IO2_O : out std_logic; IO2_T : out std_logic; IO3_I : in std_logic; IO3_O : out std_logic; IO3_T : out std_logic; SPISEL : in std_logic; SS_I : in std_logic_vector((C_NUM_SS_BITS-1) downto 0); SS_O : out std_logic_vector((C_NUM_SS_BITS-1) downto 0); SS_T : out std_logic; SPISEL_pulse_op : out std_logic; SPISEL_d1_reg : out std_logic; Control_bit_7_8 : in std_logic_vector(0 to 1); --(7 to 8) pr_state_idle : out std_logic; Rx_FIFO_Full : in std_logic ; DRR_Overrun_reg : out std_logic; reset_RcFIFO_ptr_to_spi : in std_logic ); end entity qspi_mode_control_logic; ---------------------------------- architecture imp of qspi_mode_control_logic is ---------------------------------------------------------------------------------- -- below attributes are added to reduce the synth warnings in Vivado tool attribute DowngradeIPIdentifiedWarnings: string; attribute DowngradeIPIdentifiedWarnings of imp : architecture is "yes"; ---------------------------------------------------------------------------------- -- constant declaration constant RESET_ACTIVE : std_logic := '1'; constant COUNT_WIDTH : INTEGER := log2(C_NUM_TRANSFER_BITS)+1; -- function declaration ------------------------ -- spcl_log2 : Performs log2(x) function for value of C_SCK_RATIO > 2 ------------------------ function spcl_log2(x : natural) return integer is variable j : integer := 0; variable k : integer := 0; begin if(C_SCK_RATIO /= 2) then for i in 0 to 11 loop if(2**i >= x) then if(k = 0) then j := i; end if; k := 1; end if; end loop; return j; else return 2; end if; end spcl_log2; -- type declaration type STATE_TYPE is (IDLE, -- decode command can be combined here later CMD_SEND, ADDR_SEND,TEMP_ADDR_SEND, --DUMMY_SEND, DATA_SEND,TEMP_DATA_SEND, DATA_RECEIVE,TEMP_DATA_RECEIVE ); signal qspi_cntrl_ps: STATE_TYPE; signal qspi_cntrl_ns: STATE_TYPE; ----------------------------------------- -- signal declaration signal Ratio_Count : std_logic_vector (0 to (spcl_log2(C_SCK_RATIO))-2); signal Count : std_logic_vector(COUNT_WIDTH downto 0); signal Count_1 : std_logic_vector(COUNT_WIDTH downto 0); signal LSB_first : std_logic; signal Mst_Trans_inhibit : std_logic; signal Manual_SS_mode : std_logic; signal CPHA : std_logic; signal CPOL : std_logic; signal Mst_N_Slv : std_logic; signal SPI_En : std_logic; signal Loop_mode : std_logic; signal transfer_start : std_logic; signal transfer_start_d1 : std_logic; signal transfer_start_pulse : std_logic; signal SPIXfer_done_int : std_logic; signal SPIXfer_done_int_d1 : std_logic; signal SPIXfer_done_int_pulse : std_logic; signal SPIXfer_done_int_pulse_d1 : std_logic; signal SPIXfer_done_int_pulse_d2 : std_logic; signal SPIXfer_done_int_pulse_d3 : std_logic; signal Serial_Dout_0 : std_logic; signal Serial_Dout_1 : std_logic; signal Serial_Dout_2 : std_logic; signal Serial_Dout_3 : std_logic; signal Serial_Din_0 : std_logic; signal Serial_Din_1 : std_logic; signal Serial_Din_2 : std_logic; signal Serial_Din_3 : std_logic; signal io2_i_sync : std_logic; signal io3_i_sync : std_logic; signal serial_dout_int : std_logic; signal mosi_i_sync : std_logic; signal miso_i_sync : std_logic; signal master_tri_state_en_control : std_logic; signal IO0_tri_state_en_control : std_logic; signal IO1_tri_state_en_control : std_logic; signal IO2_tri_state_en_control : std_logic; signal IO3_tri_state_en_control : std_logic; signal SCK_tri_state_en_control : std_logic; signal SPISEL_sync : std_logic; signal spisel_d1 : std_logic; signal spisel_pulse : std_logic; signal Sync_Set : std_logic; signal Sync_Reset : std_logic; signal SS_Asserted : std_logic; signal SS_Asserted_1dly : std_logic; signal Allow_MODF_Strobe : std_logic; signal MODF_strobe_int : std_logic; signal Load_tx_data_to_shift_reg_int : std_logic; signal mode_0 : std_logic; signal mode_1 : std_logic; signal sck_o_int : std_logic; signal sck_o_in : std_logic; signal Shift_Reg : std_logic_vector (0 to C_NUM_TRANSFER_BITS-1); signal sck_d1 : std_logic; signal sck_d2 : std_logic; signal sck_rising_edge : std_logic; signal rx_shft_reg : std_logic_vector(0 to C_NUM_TRANSFER_BITS-1); signal SCK_O_1 : std_logic;-- :='0'; signal receive_Data_int : std_logic_vector(0 to (C_NUM_TRANSFER_BITS-1)); --:=(others => '0'); signal rx_shft_reg_mode_0011 : std_logic_vector(0 to (C_NUM_TRANSFER_BITS-1)); --:=(others => '0'); signal Count_trigger : std_logic; signal Count_trigger_d1 : std_logic; signal Count_trigger_pulse : std_logic; signal pr_state_cmd_ph : std_logic; signal pr_state_addr_ph : std_logic; signal pr_state_dummy_ph : std_logic; signal pr_state_data_receive : std_logic; signal pr_state_non_idle : std_logic; signal addr_cnt : std_logic_vector(2 downto 0); signal dummy_cnt : std_logic_vector(3 downto 0); signal stop_clock : std_logic; signal IO0_T_control : std_logic; signal IO1_T_control : std_logic; signal IO2_T_control : std_logic; signal IO3_T_control : std_logic; signal dummy : std_logic; signal no_slave_selected : std_logic; signal Data_To_Rx_FIFO_1 : std_logic_vector(0 to (C_NUM_TRANSFER_BITS-1)); signal Data_To_Rx_FIFO_2 : std_logic_vector(0 to (C_NUM_TRANSFER_BITS-1)); --attribute IOB : string; --attribute IOB of QSPI_SCK_T : label is "true"; --attribute IOB of QSPI_SS_T : label is "true"; --attribute IOB of QSPI_IO0_T : label is "true";-- MOSI_T --attribute IOB of QSPI_IO1_T : label is "true";-- MISO_T --attribute IOB of QSPI_SPISEL : label is "true";-- SPISEL signal Mst_Trans_inhibit_d1 : std_logic; signal Mst_Trans_inhibit_pulse : std_logic; signal stop_clock_reg : std_logic; signal transfer_start_d2 : std_logic; signal transfer_start_d3 : std_logic; signal transfer_start_pulse_11: std_logic; signal DRR_Overrun_reg_int : std_logic; signal Rx_FIFO_Full_reg : std_logic; ----- begin ----- LSB_first <= SPICR_9_LSB; -- Control_Reg(0); Mst_Trans_inhibit <= SPICR_8_TR_INHIBIT; -- Control_Reg(1); Manual_SS_mode <= SPICR_7_SS; -- Control_Reg(2); CPHA <= SPICR_4_CPHA; -- Control_Reg(5); CPOL <= SPICR_3_CPOL; -- Control_Reg(6); Mst_N_Slv <= SPICR_2_MASTER_N_SLV; -- Control_Reg(7); SPI_En <= SPICR_1_SPE; -- Control_Reg(8); Loop_mode <= SPICR_0_LOOP; -- Control_Reg(9); IO0_O <= Serial_Dout_0; IO1_O <= Serial_Dout_1; IO2_O <= Serial_Dout_2; IO3_O <= Serial_Dout_3; Receive_Data <= receive_Data_int; DRR_Overrun_reg <= DRR_Overrun_reg_int; RX_FULL_CHECK_PROCESS: process(Bus2IP_Clk) is begin if(Bus2IP_Clk'event and Bus2IP_Clk='1') then if (Soft_Reset_op = RESET_ACTIVE)or(reset_RcFIFO_ptr_to_spi = '1') then Rx_FIFO_Full_reg <= '0'; elsif(Rx_FIFO_Full = '1')then Rx_FIFO_Full_reg <= '1'; end if; end if; end process RX_FULL_CHECK_PROCESS; DRR_OVERRUN_REG_PROCESS:process(Bus2IP_Clk) is ----- begin ----- if (Bus2IP_Clk'event and Bus2IP_Clk='1') then if (Soft_Reset_op = RESET_ACTIVE) then DRR_Overrun_reg_int <= '0'; else DRR_Overrun_reg_int <= not(DRR_Overrun_reg_int or Soft_Reset_op) and Rx_FIFO_Full_reg and SPIXfer_done_int_pulse_d2; end if; end if; end process DRR_OVERRUN_REG_PROCESS; --* ------------------------------------------------------------------------------- --* -- MASTER_TRIST_EN_PROCESS : If not master make tristate enabled --* ---------------------------- master_tri_state_en_control <= '0' when ( (control_bit_7_8(0)='1') and -- decides master/slave mode (control_bit_7_8(1)='1') and -- decide the spi_en ((MODF_strobe_int or SR_3_MODF)='0')-- no mode fault ) else '1'; --QSPI_SS_T: tri-state register for SS,ideal state-deactive QSPI_SS_T: component FD generic map ( INIT => '1' ) port map ( Q => SS_T, C => Bus2IP_Clk, D => master_tri_state_en_control ); -------------------------------------- --QSPI_SCK_T : Tri-state register for SCK_T, ideal state-deactive SCK_tri_state_en_control <= '0' when ( -- (pr_state_non_idle = '1') and -- CR#619275 - this is commented to operate the mode 3 with SW flow (control_bit_7_8(0)='1') and -- decides master/slave mode (control_bit_7_8(1)='1') and -- decide the spi_en ((MODF_strobe_int or SR_3_MODF)='0')-- no mode fault ) else '1'; QSPI_SCK_T: component FD generic map ( INIT => '1' ) port map ( Q => SCK_T, C => Bus2IP_Clk, D => SCK_tri_state_en_control ); IO0_tri_state_en_control <= '0' when ( (IO0_T_control = '0') and (control_bit_7_8(0)='1') and -- decides master/slave mode (control_bit_7_8(1)='1') and -- decide the spi_en ((MODF_strobe_int or SR_3_MODF)='0')-- no mode fault ) else '1'; --QSPI_IO0_T: tri-state register for MOSI, ideal state-deactive QSPI_IO0_T: component FD generic map ( INIT => '1' ) port map ( Q => IO0_T, -- MOSI_T, C => Bus2IP_Clk, D => IO0_tri_state_en_control -- master_tri_state_en_control ); -------------------------------------- IO1_tri_state_en_control <= '0' when ( (IO1_T_control = '0') and (control_bit_7_8(0)='1') and -- decides master/slave mode (control_bit_7_8(1)='1') and -- decide the spi_en ((MODF_strobe_int or SR_3_MODF)='0')-- no mode fault ) else '1'; --QSPI_IO0_T: tri-state register for MISO, ideal state-deactive QSPI_IO1_T: component FD generic map ( INIT => '1' ) port map ( Q => IO1_T, -- MISO_T, C => Bus2IP_Clk, D => IO1_tri_state_en_control ); ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- QSPI_NO_MODE_2_T_CONTROL: if C_SPI_MODE = 1 or C_SPI_MODE = 0 generate ---------------------- begin ----- -------------------------------------- IO2_tri_state_en_control <= '1'; IO3_tri_state_en_control <= '1'; IO2_T <= '1'; IO3_T <= '1'; -------------------------------------- end generate QSPI_NO_MODE_2_T_CONTROL; -------------------------------------- ------------------------------------------------------------------------------- QSPI_MODE_2_T_CONTROL: if C_SPI_MODE = 2 generate ---------------------- begin ----- -------------------------------------- IO2_tri_state_en_control <= '0' when ( (IO2_T_control = '0') and (control_bit_7_8(0)='1') and -- decides master/slave mode (control_bit_7_8(1)='1') and -- decide the spi_en ((MODF_strobe_int or SR_3_MODF)='0')-- no mode fault ) else '1'; --QSPI_IO0_T: tri-state register for MOSI, ideal state-deactive QSPI_IO2_T: component FD generic map ( INIT => '1' ) port map ( Q => IO2_T, -- MOSI_T, C => Bus2IP_Clk, D => IO2_tri_state_en_control -- master_tri_state_en_control ); -------------------------------------- IO3_tri_state_en_control <= '0' when ( (IO3_T_control = '0') and (control_bit_7_8(0)='1') and -- decides master/slave mode (control_bit_7_8(1)='1') and -- decide the spi_en ((MODF_strobe_int or SR_3_MODF)='0')-- no mode fault ) else '1'; --QSPI_IO0_T: tri-state register for MISO, ideal state-deactive QSPI_IO3_T: component FD generic map ( INIT => '1' ) port map ( Q => IO3_T, -- MISO_T, C => Bus2IP_Clk, D => IO3_tri_state_en_control ); -------------------------------------- end generate QSPI_MODE_2_T_CONTROL; ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- -- QSPI_SPISEL: first synchronize the incoming signal, this is required is slave --------------- mode of the core. QSPI_SPISEL: component FD generic map ( INIT => '1' -- default '1' to make the device in default master mode ) port map ( Q => SPISEL_sync, C => Bus2IP_Clk, D => SPISEL ); -- SPISEL_DELAY_1CLK_PROCESS_P : Detect active SCK edge in slave mode ----------------------------- SPISEL_DELAY_1CLK_PROCESS_P: process(Bus2IP_Clk) begin if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then spisel_d1 <= '1'; else spisel_d1 <= SPISEL_sync; end if; end if; end process SPISEL_DELAY_1CLK_PROCESS_P; ------------------------------------------------ -- spisel pulse generating logic -- this one clock cycle pulse will be available for data loading into -- shift register spisel_pulse <= (not SPISEL_sync) and spisel_d1; -- --------|__________ -- SPISEL -- ----------|________ -- SPISEL_sync -- -------------|_____ -- spisel_d1 -- __________|--|_____ -- SPISEL_pulse_op SPISEL_pulse_op <= not SPISEL_sync; -- spisel_pulse; SPISEL_d1_reg <= spisel_d1; MST_TRANS_INHIBIT_D1_I: component FD generic map ( INIT => '1' ) port map ( Q => Mst_Trans_inhibit_d1, C => Bus2IP_Clk, D => Mst_Trans_inhibit ); Mst_Trans_inhibit_pulse <= Mst_Trans_inhibit and (not Mst_Trans_inhibit_d1); ------------------------------------------------------------------------------- -- SCK_SET_GEN_PROCESS : Generate SET control for SCK_O_reg ------------------------ SCK_SET_GEN_PROCESS: process(CPOL, CPHA, SPIXfer_done_int, transfer_start_pulse, Mst_Trans_inhibit_pulse) is ----- begin ----- --if(SPIXfer_done_int = '1' or transfer_start_pulse = '1') then if(Mst_Trans_inhibit_pulse = '1' or SPIXfer_done_int = '1') then Sync_Set <= (CPOL xor CPHA); else Sync_Set <= '0'; end if; end process SCK_SET_GEN_PROCESS; ------------------------------------------------------------------------------- -- SCK_RESET_GEN_PROCESS : Generate SET control for SCK_O_reg -------------------------- SCK_RESET_GEN_PROCESS: process(CPOL, CPHA, transfer_start_pulse, SPIXfer_done_int, Mst_Trans_inhibit_pulse)is ----- begin ----- --if(SPIXfer_done_int = '1' or transfer_start_pulse = '1') then if(Mst_Trans_inhibit_pulse = '1' or SPIXfer_done_int = '1') then Sync_Reset <= not(CPOL xor CPHA); else Sync_Reset <= '0'; end if; end process SCK_RESET_GEN_PROCESS; ------------------------------------------------------------------------------- -- SELECT_OUT_PROCESS : This process sets SS active-low, one-hot encoded select -- bit. Changing SS is premitted during a transfer by -- hardware, but is to be prevented by software. In Auto -- mode SS_O reflects value of Slave_Select_Reg only -- when transfer is in progress, otherwise is SS_O is held -- high ----------------------- SELECT_OUT_PROCESS: process(Bus2IP_Clk)is begin if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then SS_O <= (others => '1'); SS_Asserted <= '0'; SS_Asserted_1dly <= '0'; elsif(transfer_start = '0') then -- Tranfer not in progress for i in (C_NUM_SS_BITS-1) downto 0 loop SS_O(i) <= Slave_Select_Reg(C_NUM_SS_BITS-1-i); end loop; SS_Asserted <= '0'; SS_Asserted_1dly <= '0'; else for i in (C_NUM_SS_BITS-1) downto 0 loop SS_O(i) <= Slave_Select_Reg(C_NUM_SS_BITS-1-i); end loop; SS_Asserted <= '1'; SS_Asserted_1dly <= SS_Asserted; end if; end if; end process SELECT_OUT_PROCESS; ---------------------------- no_slave_selected <= and_reduce(Slave_Select_Reg(0 to (C_NUM_SS_BITS-1))); ------------------------------------------------------------------------------- -- MODF_STROBE_PROCESS : Strobe MODF signal when master is addressed as slave ------------------------ MODF_STROBE_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if((Soft_Reset_op = RESET_ACTIVE) or (SPISEL_sync = '1')) then MODF_strobe <= '0'; MODF_strobe_int <= '0'; Allow_MODF_Strobe <= '1'; elsif((Mst_N_Slv = '1') and --In Master mode (SPISEL_sync = '0') and (Allow_MODF_Strobe = '1') ) then MODF_strobe <= '1'; MODF_strobe_int <= '1'; Allow_MODF_Strobe <= '0'; else MODF_strobe <= '0'; MODF_strobe_int <= '0'; end if; end if; end process MODF_STROBE_PROCESS; -------------------------------------------------------------------------- -- LOADING_FIRST_ELEMENT_PROCESS : Combinatorial process to generate flag -- when loading first data element in shift -- register from transmit register/fifo ---------------------------------- LOADING_FIRST_ELEMENT_PROCESS: process(Soft_Reset_op, SPI_En, SS_Asserted, SS_Asserted_1dly, SR_3_MODF )is ----- begin ----- if(Soft_Reset_op = RESET_ACTIVE) then Load_tx_data_to_shift_reg_int <= '0'; --Clear flag elsif(SPI_En = '1' and --Enabled ( (--(Mst_N_Slv = '1') and --Master configuration (SS_Asserted = '1') and (SS_Asserted_1dly = '0') and (SR_3_MODF = '0') ) ) )then Load_tx_data_to_shift_reg_int <= '1'; --Set flag else Load_tx_data_to_shift_reg_int <= '0'; --Clear flag end if; end process LOADING_FIRST_ELEMENT_PROCESS; ------------------------------------------ ------------------------------------------------------------------------------- -- TRANSFER_START_PROCESS : Generate transfer start signal. When the transfer -- gets completed, SPI Transfer done strobe pulls -- transfer_start back to zero. --------------------------- TRANSFER_START_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE or ( ( SPI_En = '0' or -- enable not asserted or (SPIXfer_done_int = '1' and SR_5_Tx_Empty = '1' and Data_Phase = '0' and Addr_Phase = '0') or -- no data in Tx reg/FIFO or SR_3_MODF = '1' or -- mode fault error Mst_Trans_inhibit = '1' or -- Do not start if Mst xfer inhibited stop_clock = '1' -- core is in Data Receive State and DRR is not full ) ) )then transfer_start <= '0'; else -- Delayed SPIXfer_done_int_pulse to work for synchronous design and to remove -- asserting of loading_sr_reg in master mode after SR_5_Tx_Empty goes to 1 -- if((SPIXfer_done_int_pulse = '1') -- or --(SPIXfer_done_int_pulse_d1 = '1')-- or --(SPIXfer_done_int_pulse_d2='1') -- ) then-- this is added to remove -- glitch at the end of -- transfer in AUTO mode -- transfer_start <= '0'; -- Set to 0 for at least 1 period -- else transfer_start <= '1'; -- Proceed with SPI Transfer -- end if; end if; end if; end process TRANSFER_START_PROCESS; -------------------------------- --TRANSFER_START_PROCESS: process(Bus2IP_Clk)is ------- --begin ------- -- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then -- if(Soft_Reset_op = RESET_ACTIVE or -- ( -- ( -- SPI_En = '0' or -- enable not asserted or -- (SR_5_Tx_Empty = '1' and Data_Phase = '0' and Addr_Phase = '0') or -- no data in Tx reg/FIFO or -- SR_3_MODF = '1' or -- mode fault error -- Mst_Trans_inhibit = '1' or -- Do not start if Mst xfer inhibited -- stop_clock = '1' -- core is in Data Receive State and DRR is not full -- ) -- ) -- )then -- -- transfer_start <= '0'; -- else ---- Delayed SPIXfer_done_int_pulse to work for synchronous design and to remove ---- asserting of loading_sr_reg in master mode after SR_5_Tx_Empty goes to 1 -- if((SPIXfer_done_int_pulse = '1') or -- (SPIXfer_done_int_pulse_d1 = '1')-- or -- --(SPIXfer_done_int_pulse_d2='1') -- ) then-- this is added to remove -- -- glitch at the end of -- -- transfer in AUTO mode -- transfer_start <= '0'; -- Set to 0 for at least 1 period -- else -- transfer_start <= '1'; -- Proceed with SPI Transfer -- end if; -- end if; -- end if; --end process TRANSFER_START_PROCESS; ------------------------------------- ------------------------------------------------------------------------------- -- TRANSFER_START_1CLK_PROCESS : Delay transfer start by 1 clock cycle -------------------------------- TRANSFER_START_1CLK_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then transfer_start_d1 <= '0'; transfer_start_d2 <= '0'; transfer_start_d3 <= '0'; else transfer_start_d1 <= transfer_start; transfer_start_d2 <= transfer_start_d1; transfer_start_d3 <= transfer_start_d2; end if; end if; end process TRANSFER_START_1CLK_PROCESS; -- transfer start pulse generating logic transfer_start_pulse <= transfer_start and (not(transfer_start_d1)); transfer_start_pulse_11 <= transfer_start_d2 and (not transfer_start_d3); ------------------------------------------------------------------------------- -- TRANSFER_DONE_1CLK_PROCESS : Delay SPI transfer done signal by 1 clock cycle ------------------------------- TRANSFER_DONE_1CLK_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then SPIXfer_done_int_d1 <= '0'; else SPIXfer_done_int_d1 <= SPIXfer_done_int; end if; end if; end process TRANSFER_DONE_1CLK_PROCESS; -- -- transfer done pulse generating logic SPIXfer_done_int_pulse <= SPIXfer_done_int and (not(SPIXfer_done_int_d1)); ------------------------------------------------------------------------------- -- TRANSFER_DONE_PULSE_DLY_PROCESS : Delay SPI transfer done pulse by 1 and 2 -- clock cycles ------------------------------------ -- Delay the Done pulse by a further cycle. This is used as the output Rx -- data strobe when C_SCK_RATIO = 2 TRANSFER_DONE_PULSE_DLY_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then SPIXfer_done_int_pulse_d1 <= '0'; SPIXfer_done_int_pulse_d2 <= '0'; SPIXfer_done_int_pulse_d3 <= '0'; else SPIXfer_done_int_pulse_d1 <= SPIXfer_done_int_pulse; SPIXfer_done_int_pulse_d2 <= SPIXfer_done_int_pulse_d1; SPIXfer_done_int_pulse_d3 <= SPIXfer_done_int_pulse_d2; end if; end if; end process TRANSFER_DONE_PULSE_DLY_PROCESS; -------------------------------------------- ------------------------------------------------------------------------------- -- RX_DATA_GEN1: Only for C_SCK_RATIO = 2 mode. ---------------- RX_DATA_SCK_RATIO_2_GEN1 : if C_SCK_RATIO = 2 generate ----- begin ----- ------------------------------------------------------------------------------- -- TRANSFER_DONE_PROCESS : Generate SPI transfer done signal. This will stop the SPI clock. -------------------------- TRANSFER_DONE_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE or transfer_start_pulse = '1') then SPIXfer_done_int <= '0'; --elsif (transfer_start_pulse = '1') then -- SPIXfer_done_int <= '0'; else if(mode_1 = '1' and mode_0 = '0')then SPIXfer_done_int <= Count(1) and not(Count(0)); elsif(mode_1 = '0' and mode_0 = '1')then SPIXfer_done_int <= not(Count(0)) and Count(2) and Count(1); else SPIXfer_done_int <= --Count(COUNT_WIDTH); Count(COUNT_WIDTH-1) and Count(COUNT_WIDTH-2) and Count(COUNT_WIDTH-3) and not Count(COUNT_WIDTH-4); end if; end if; end if; end process TRANSFER_DONE_PROCESS; -- RECEIVE_DATA_STROBE_PROCESS : Strobe data from shift register to receive -- data register -------------------------------- -- For a SCK ratio of 2 the Done needs to be delayed by an extra cycle -- due to the serial input being captured on the falling edge of the PLB -- clock. this is purely required for dealing with the real SPI slave memories. RECEIVE_DATA_STROBE_PROCESS: process(Bus2IP_Clk) ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE)then Data_To_Rx_FIFO_1 <= (others => '0'); receive_Data_int <= (others => '0'); elsif(SPIXfer_done_int_pulse_d1 = '1')then --elsif(SPIXfer_done_int_pulse = '1') then Data_To_Rx_FIFO_1 <= rx_shft_reg_mode_0011; receive_Data_int <= rx_shft_reg_mode_0011; end if; end if; end process RECEIVE_DATA_STROBE_PROCESS; RECEIVE_DATA_STROBE_PROCESS_1: process(Bus2IP_Clk) ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE)then Data_To_Rx_FIFO_2 <= (others => '0'); elsif(SPIXfer_done_int_pulse_d1 = '1')then Data_To_Rx_FIFO_2 <= Data_To_Rx_FIFO_1; end if; end if; end process RECEIVE_DATA_STROBE_PROCESS_1; --receive_Data_int <= Data_To_Rx_FIFO_2; -- Done strobe delayed to match receive data SPIXfer_done <= SPIXfer_done_int_pulse_d2; -- SPIXfer_done_rd_tx_en <= transfer_start_pulse or SPIXfer_done_int_d1; -- SPIXfer_done_int_pulse_d1; SPIXfer_done_rd_tx_en <= transfer_start_pulse or SPIXfer_done_int_pulse_d2; -- SPIXfer_done_rd_tx_en <= SPIXfer_done_int; ------------------------------------------------- end generate RX_DATA_SCK_RATIO_2_GEN1; ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- -- RATIO_OF_2_GENERATE : Logic to be used when C_SCK_RATIO is equal to 2 ------------------------ RATIO_OF_2_GENERATE: if(C_SCK_RATIO = 2) generate -------------------- begin ----- ------------------------------------------------------------------------------- -- SCK_CYCLE_COUNT_PROCESS : Counts number of trigger pulses provided. Used for -- controlling the number of bits to be transfered -- based on generic C_NUM_TRANSFER_BITS ---------------------------- RATIO_2_SCK_CYCLE_COUNT_PROCESS: process(Bus2IP_Clk) begin -- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then -- if((Soft_Reset_op = RESET_ACTIVE) or -- (transfer_start_d1 = '0') or -- --(transfer_start = '0' and SPIXfer_done_int_d1 = '1') or -- (Mst_N_Slv = '0') -- )then -- -- Count <= (others => '0'); -- elsif (Count(COUNT_WIDTH) = '0') then -- Count <= Count + 1; -- end if; -- end if; if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if((Soft_Reset_op = RESET_ACTIVE) or (SPIXfer_done_int = '1') or (transfer_start = '0') --(transfer_start = '0' and SPIXfer_done_int_d1 = '1') or --(Mst_N_Slv = '0') )then Count <= (others => '0'); elsif (Count(COUNT_WIDTH) = '0') and ((CPOL and CPHA) = '0') then Count <= Count + 1; elsif(transfer_start_d2 = '1') and (Count(COUNT_WIDTH) = '0') then Count <= Count + 1; end if; end if; end process RATIO_2_SCK_CYCLE_COUNT_PROCESS; ------------------------------------ ------------------------------------------------------------------------------- -- SCK_SET_RESET_PROCESS : Sync set/reset toggle flip flop controlled by -- transfer_start signal -------------------------- RATIO_2_SCK_SET_RESET_PROCESS: process(Bus2IP_Clk) begin if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if((Soft_Reset_op = RESET_ACTIVE) or (Sync_Reset = '1')) then sck_o_int <= '0'; elsif(Sync_Set = '1') then sck_o_int <= '1'; elsif (transfer_start = '1') then --sck_o_int <= (not sck_o_int) xor Count(COUNT_WIDTH); sck_o_int <= (not sck_o_int); end if; end if; end process RATIO_2_SCK_SET_RESET_PROCESS; ---------------------------------- -- DELAY_CLK: Delay the internal clock for a cycle to generate internal enable -- -- signal for data register. ------------- RATIO_2_DELAY_CLK: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if (Soft_Reset_op = RESET_ACTIVE)then sck_d1 <= '0'; sck_d2 <= '0'; else sck_d1 <= sck_o_int; sck_d2 <= sck_d1; end if; end if; end process RATIO_2_DELAY_CLK; ------------------------------------ -- Rising egde pulse sck_rising_edge <= sck_d2 and (not sck_d1); -- CAPT_RX_FE_MODE_00_11: The below logic is to capture data for SPI mode of --------------------------- 00 and 11. -- Generate a falling edge pulse from the serial clock. Use this to -- capture the incoming serial data into a shift register. RATIO_2_CAPT_RX_FE_MODE_00_11 : process(Bus2IP_Clk)is begin if(Bus2IP_Clk'event and Bus2IP_Clk = '0') then --SPIXfer_done_int_pulse_d2 if (Soft_Reset_op = RESET_ACTIVE)then rx_shft_reg_mode_0011 <= (others => '0'); elsif((sck_d1='1') and --(sck_rising_edge = '1') and (Data_Dir='0') -- data direction = 0 is read mode )then ------- if(mode_1 = '0' and mode_0 = '0')then -- for Standard transfer rx_shft_reg_mode_0011 <= rx_shft_reg_mode_0011 (1 to (C_NUM_TRANSFER_BITS-1)) & IO1_I ; --MISO_I; elsif(mode_1 = '0' and mode_0 = '1')then -- for Dual transfer rx_shft_reg_mode_0011 <= rx_shft_reg_mode_0011 (2 to (C_NUM_TRANSFER_BITS-1)) & IO1_I & -- MISO_I - MSB first IO0_I ; -- MOSI_I elsif(mode_1 = '1' and mode_0 = '0')then -- for Quad transfer rx_shft_reg_mode_0011 <= rx_shft_reg_mode_0011 (4 to (C_NUM_TRANSFER_BITS-1)) & IO3_I & -- MSB first IO2_I & IO1_I & IO0_I ; end if; ------- else rx_shft_reg_mode_0011<= rx_shft_reg_mode_0011; end if; end if; end process RATIO_2_CAPT_RX_FE_MODE_00_11; ---------------------------------- RATIO_2_CAP_QSPI_QUAD_MODE_NM_MEM_GEN: if ( (C_SPI_MODE = 2 or C_SPI_MODE = 1 )and C_SPI_MEMORY = 2 )generate -------------------------------------- begin ----- ------------------------------------------------------------------------------- -- CAPTURE_AND_SHIFT_PROCESS : This logic essentially controls the entire -- capture and shift operation for serial data in ------------------------------ master SPI mode only RATIO_2_CAPTURE_AND_SHIFT_PROCESS: process(Bus2IP_Clk)is begin if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then Shift_Reg(0 to C_NUM_TRANSFER_BITS -1) <= (others => '0'); Serial_Dout_0 <= '0';-- default values of the IO0_O Serial_Dout_1 <= '0'; Serial_Dout_2 <= '0'; Serial_Dout_3 <= '0'; elsif(transfer_start = '1') then --(Mst_N_Slv = '1') then if(transfer_start_pulse = '1' or SPIXfer_done_int_d1 = '1') then -- --if(Load_tx_data_to_shift_reg_int = '1') then Shift_Reg <= Transmit_Data; if(mode_1 = '0' and mode_0 = '0') then -- standard mode Serial_Dout_0 <= Transmit_Data(0); Serial_Dout_3 <= pr_state_cmd_ph and Quad_Phase;-- this is to make the DQ3 bit 1 in quad command transfer mode. elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Serial_Dout_1 <= Transmit_Data(0); -- msb to IO1_O Serial_Dout_0 <= Transmit_Data(1); elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Serial_Dout_3 <= Transmit_Data(0); -- msb to IO3_O Serial_Dout_2 <= Transmit_Data(1); Serial_Dout_1 <= Transmit_Data(2); Serial_Dout_0 <= Transmit_Data(3); end if; elsif( (Count(0) = '0') )then -- Shift Data on even if(mode_1 = '0' and mode_0 = '0') then -- standard mode Serial_Dout_0 <= Shift_Reg(0); Serial_Dout_3 <= pr_state_cmd_ph and Quad_Phase; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Serial_Dout_1 <= Shift_Reg(0); -- msb to IO1_O Serial_Dout_0 <= Shift_Reg(1); elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Serial_Dout_3 <= Shift_Reg(0); -- msb to IO3_O Serial_Dout_2 <= Shift_Reg(1); Serial_Dout_1 <= Shift_Reg(2); Serial_Dout_0 <= Shift_Reg(3); end if; elsif( (Count(0) = '1') --and ) then -- Capture Data on odd if(mode_1 = '0' and mode_0 = '0') then -- standard mode Shift_Reg <= Shift_Reg (1 to C_NUM_TRANSFER_BITS -1) & IO1_I ;-- MISO_I; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Shift_Reg <= Shift_Reg (2 to C_NUM_TRANSFER_BITS -1) & IO1_I & IO0_I ; elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Shift_Reg <= Shift_Reg (4 to C_NUM_TRANSFER_BITS -1) & IO3_I & IO2_I & IO1_I & IO0_I ; end if; end if; end if; end if; end process RATIO_2_CAPTURE_AND_SHIFT_PROCESS; ---------------------------------------------- end generate RATIO_2_CAP_QSPI_QUAD_MODE_NM_MEM_GEN; ---------------------------------- RATIO_2_CAP_QSPI_QUAD_MODE_OTHER_MEM_GEN: if ( (C_SPI_MODE = 2 and (C_SPI_MEMORY = 0 or C_SPI_MEMORY = 1) ) or (C_SPI_MODE = 1 and (C_SPI_MEMORY = 0 or C_SPI_MEMORY = 1) ) ) generate ----------------------------------------- begin ----- ------------------------------------------------------------------------------- -- CAPTURE_AND_SHIFT_PROCESS : This logic essentially controls the entire -- capture and shift operation for serial data in ------------------------------ master SPI mode only RATIO_2_CAPTURE_AND_SHIFT_PROCESS: process(Bus2IP_Clk)is begin if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then Shift_Reg(0 to C_NUM_TRANSFER_BITS -1) <= (others => '0'); Serial_Dout_0 <= '0';-- default values of the IO0_O Serial_Dout_1 <= '0'; Serial_Dout_2 <= '0'; Serial_Dout_3 <= '0'; elsif(transfer_start = '1') then --(Mst_N_Slv = '1') then --if(Load_tx_data_to_shift_reg_int = '1') then if(transfer_start_pulse = '1' or SPIXfer_done_int_d1 = '1') then -- Shift_Reg <= Transmit_Data; if(mode_1 = '0' and mode_0 = '0') then -- standard mode Serial_Dout_0 <= Transmit_Data(0); Serial_Dout_3 <= pr_state_cmd_ph and Quad_Phase;-- this is to make the DQ3 bit 1 in quad command transfer mode. elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Serial_Dout_1 <= Transmit_Data(0); -- msb to IO1_O Serial_Dout_0 <= Transmit_Data(1); elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Serial_Dout_3 <= Transmit_Data(0); -- msb to IO3_O Serial_Dout_2 <= Transmit_Data(1); Serial_Dout_1 <= Transmit_Data(2); Serial_Dout_0 <= Transmit_Data(3); end if; elsif( (Count(0) = '0') --and )then -- Shift Data on even if(mode_1 = '0' and mode_0 = '0') then -- standard mode Serial_Dout_0 <= Shift_Reg(0); Serial_Dout_3 <= pr_state_cmd_ph and Quad_Phase; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Serial_Dout_1 <= Shift_Reg(0); -- msb to IO1_O Serial_Dout_0 <= Shift_Reg(1); elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Serial_Dout_3 <= Shift_Reg(0); -- msb to IO3_O Serial_Dout_2 <= Shift_Reg(1); Serial_Dout_1 <= Shift_Reg(2); Serial_Dout_0 <= Shift_Reg(3); end if; elsif( (Count(0) = '1') --and ) then -- Capture Data on odd if(mode_1 = '0' and mode_0 = '0') then -- standard mode Shift_Reg <= Shift_Reg (1 to C_NUM_TRANSFER_BITS -1) & IO1_I;-- MISO_I; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Shift_Reg <= Shift_Reg (2 to C_NUM_TRANSFER_BITS -1) & IO1_I & IO0_I ; elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Shift_Reg <= Shift_Reg (4 to C_NUM_TRANSFER_BITS -1) & IO3_I & IO2_I & IO1_I & IO0_I ; end if; end if; end if; end if; end process RATIO_2_CAPTURE_AND_SHIFT_PROCESS; ---------------------------------------------- end generate RATIO_2_CAP_QSPI_QUAD_MODE_OTHER_MEM_GEN; ------------------------------------------------------ ----- end generate RATIO_OF_2_GENERATE; --------------------------------- --------==================================================================----- RX_DATA_GEN_OTHER_SCK_RATIOS : if C_SCK_RATIO /= 2 generate ------------------------------ ----- begin ----- ------------------------------------------------------------------------------- -- TRANSFER_DONE_PROCESS : Generate SPI transfer done signal. This will stop the SPI clock. -------------------------- TRANSFER_DONE_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE or transfer_start_pulse = '1') then SPIXfer_done_int <= '0'; --elsif (transfer_start_pulse = '1') then -- SPIXfer_done_int <= '0'; else if(CPHA = '0' and CPOL = '0') then if(mode_1 = '1' and mode_0 = '0')then -- quad mode SPIXfer_done_int <= Count(0) and Count(1); elsif(mode_1 = '0' and mode_0 = '1')then -- for dual mode SPIXfer_done_int <= Count(2) and Count(1) and Count(0);--- and --(and_reduce(Ratio_Count));-- dual mode else SPIXfer_done_int <= Count(COUNT_WIDTH-COUNT_WIDTH+3) and Count(COUNT_WIDTH-COUNT_WIDTH+2) and Count(COUNT_WIDTH-COUNT_WIDTH+1) and Count(COUNT_WIDTH-COUNT_WIDTH); end if; else if(mode_1 = '1' and mode_0 = '0')then -- quad mode SPIXfer_done_int <= Count(1) and Count(0); elsif(mode_1 = '0' and mode_0 = '1')then -- for dual mode SPIXfer_done_int <= Count(2) and Count(1) and Count(0); else SPIXfer_done_int <= Count(COUNT_WIDTH-COUNT_WIDTH+3) and Count(COUNT_WIDTH-COUNT_WIDTH+2) and Count(COUNT_WIDTH-COUNT_WIDTH+1) and Count(COUNT_WIDTH-COUNT_WIDTH); end if; end if; end if; end if; end process TRANSFER_DONE_PROCESS; -- RECEIVE_DATA_STROBE_PROCESS_OTHER_RATIO: the below process if for other -------------------------------------------- SPI ratios of C_SCK_RATIO >2 -- -- It multiplexes the data stored -- -- in internal registers in LSB and -- -- non-LSB modes, in master as well as -- -- in slave mode. RECEIVE_DATA_STROBE_PROCESS_OTHER_RATIO: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE)then receive_Data_int <= (others => '0'); elsif(SPIXfer_done_int_pulse_d1 = '1')then receive_Data_int <= rx_shft_reg_mode_0011; end if; end if; end process RECEIVE_DATA_STROBE_PROCESS_OTHER_RATIO; SPIXfer_done <= SPIXfer_done_int_pulse_d2; SPIXfer_done_rd_tx_en <= transfer_start_pulse or SPIXfer_done_int_pulse_d2; -------------------------------------------- end generate RX_DATA_GEN_OTHER_SCK_RATIOS; ------------------------------------------------------------------------------- -- OTHER_RATIO_GENERATE : Logic to be used when C_SCK_RATIO is not equal to 2 ------------------------- OTHER_RATIO_GENERATE: if(C_SCK_RATIO /= 2) generate --attribute IOB : string; --attribute IOB of IO0_I_REG : label is "true"; ----- begin ----- ------------------------------------------------------------------------------- IO0_I_REG: component FD generic map ( INIT => '0' ) port map ( Q => mosi_i_sync, C => Bus2IP_Clk, D => IO0_I --MOSI_I ); ----------------------- -- IO1_I_REG_IOB: Push the IO1_I register in IOB -- -------------- -- Only when the targeted family is 7-series or spartan 6 -- ir-respective of C_USE_STARTUP parameter ------------- IO1_I_REG_IOB: if (C_SUB_FAMILY = "virtex7" or C_SUB_FAMILY = "kintex7" or C_SUB_FAMILY = "artix7" -- or -- 1/23/2013 -- C_SUB_FAMILY = "spartan6" -- 1/23/2013 ) -- or -- ( -- C_USE_STARTUP = 0 -- and -- C_SUB_FAMILY = "virtex6" -- ) generate ----- --attribute IOB : string; --attribute IOB of IO1_I_REG : label is "true"; ----- begin ----- IO1_I_REG: component FD generic map ( INIT => '0' ) port map ( Q => miso_i_sync, C => Bus2IP_Clk, D => IO1_I -- MISO_I ); end generate IO1_I_REG_IOB; --------------------------- -- -- IO1_I_REG_NO_IOB: If C_USE_STARTUP is used and family is virtex6, then -- -- IO1_I is registered only, but it is not pushed in IOB. -- -- this is due to STARTUP block in V6 is having DINSPI interface available for IO1_I. -- IO1_I_REG_NO_IOB: if ( C_USE_STARTUP = 1 -- and -- C_SUB_FAMILY = "virtex6" -- )generate -- ----- -- begin -- ----- -- IO1_I_REG: component FD -- generic map -- ( -- INIT => '0' -- ) -- port map -- ( -- Q => miso_i_sync, -- C => Bus2IP_Clk, -- D => IO1_I -- MISO_I -- ); -- end generate IO1_I_REG_NO_IOB; -- ------------------------------ NO_IO_x_I_SYNC_MODE_1_GEN: if C_SPI_MODE = 1 generate ----- begin ----- io2_i_sync <= '0'; io3_i_sync <= '0'; end generate NO_IO_x_I_SYNC_MODE_1_GEN; --------------------------------------- IO_x_I_SYNC_MODE_2_GEN: if C_SPI_MODE = 2 generate ---------------- --attribute IOB : string; --attribute IOB of IO2_I_REG : label is "true"; --attribute IOB of IO3_I_REG : label is "true"; ----- begin ----- ----------------------- IO2_I_REG: component FD generic map ( INIT => '0' ) port map ( Q => io2_i_sync, C => Bus2IP_Clk, D => IO2_I ); ----------------------- IO3_I_REG: component FD generic map ( INIT => '0' ) port map ( Q => io3_i_sync, C => Bus2IP_Clk, D => IO3_I ); ----------------------- end generate IO_x_I_SYNC_MODE_2_GEN; ------------------------------------ Serial_Din_0 <= mosi_i_sync; Serial_Din_1 <= miso_i_sync; Serial_Din_2 <= io2_i_sync ; Serial_Din_3 <= io3_i_sync ; ------------------------------------------------------------------------------- -- RATIO_COUNT_PROCESS : Counter which counts from (C_SCK_RATIO/2)-1 down to 0 -- Used for counting the time to control SCK_O_reg generation -- depending on C_SCK_RATIO ------------------------ OTHER_RATIO_COUNT_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if((Soft_Reset_op = RESET_ACTIVE) or (transfer_start = '0')) then Ratio_Count <= CONV_STD_LOGIC_VECTOR( ((C_SCK_RATIO/2)-1),(spcl_log2(C_SCK_RATIO)-1)); else Ratio_Count <= Ratio_Count - 1; if (Ratio_Count = 0) then Ratio_Count <= CONV_STD_LOGIC_VECTOR( ((C_SCK_RATIO/2)-1),(spcl_log2(C_SCK_RATIO)-1)); end if; end if; end if; end process OTHER_RATIO_COUNT_PROCESS; -------------------------------- ------------------------------------------------------------------------------- -- COUNT_TRIGGER_GEN_PROCESS : Generate a trigger whenever Ratio_Count reaches -- zero ------------------------------ OTHER_RATIO_COUNT_TRIGGER_GEN_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if((Soft_Reset_op = RESET_ACTIVE) or --(SPIXfer_done_int = '1') or (transfer_start = '0') ) then Count_trigger <= '0'; elsif(Ratio_Count = 0) then Count_trigger <= not Count_trigger; end if; end if; end process OTHER_RATIO_COUNT_TRIGGER_GEN_PROCESS; -------------------------------------- ------------------------------------------------------------------------------- -- COUNT_TRIGGER_1CLK_PROCESS : Delay cnt_trigger signal by 1 clock cycle ------------------------------- OTHER_RATIO_COUNT_TRIGGER_1CLK_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if((Soft_Reset_op = RESET_ACTIVE) or (transfer_start = '0')) then Count_trigger_d1 <= '0'; else Count_trigger_d1 <= Count_trigger; end if; end if; end process OTHER_RATIO_COUNT_TRIGGER_1CLK_PROCESS; -- generate a trigger pulse for rising edge as well as falling edge Count_trigger_pulse <= (Count_trigger and (not(Count_trigger_d1))) or ((not(Count_trigger)) and Count_trigger_d1); ------------------------------------------------------------------------------- -- SCK_CYCLE_COUNT_PROCESS : Counts number of trigger pulses provided. Used for -- controlling the number of bits to be transfered -- based on generic C_NUM_TRANSFER_BITS ---------------------------- OTHER_RATIO_SCK_CYCLE_COUNT_PROCESS: process(Bus2IP_Clk) is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE)or (SPIXfer_done_int = '1') or (transfer_start = '0') then Count <= (others => '0'); --elsif (transfer_start = '0') then -- Count <= (others => '0'); elsif (Count_trigger_pulse = '1') and (Count(COUNT_WIDTH) = '0') then Count <= Count + 1; end if; end if; end process OTHER_RATIO_SCK_CYCLE_COUNT_PROCESS; ------------------------------------ ------------------------------------------------------------------------------- -- SCK_SET_RESET_PROCESS : Sync set/reset toggle flip flop controlled by -- transfer_start signal -------------------------- OTHER_RATIO_SCK_SET_RESET_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if((Soft_Reset_op = RESET_ACTIVE) or (Sync_Reset = '1') )then sck_o_int <= '0'; elsif(Sync_Set = '1') then sck_o_int <= '1'; elsif (transfer_start = '1') then sck_o_int <= sck_o_int xor Count_trigger_pulse; end if; end if; end process OTHER_RATIO_SCK_SET_RESET_PROCESS; ---------------------------------- -- DELAY_CLK: Delay the internal clock for a cycle to generate internal enable -- -- signal for data register. ------------- OTHER_RATIO_DELAY_CLK: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if (Soft_Reset_op = RESET_ACTIVE)then sck_d1 <= '0'; sck_d2 <= '0'; else sck_d1 <= sck_o_int; sck_d2 <= sck_d1; end if; end if; end process OTHER_RATIO_DELAY_CLK; ------------------------------------ -- Rising egde pulse for CPHA-CPOL = 00/11 mode sck_rising_edge <= not(sck_d2) and sck_d1; -- CAPT_RX_FE_MODE_00_11: The below logic is the date registery process for ------------------------- SPI CPHA-CPOL modes of 00 and 11. OTHER_RATIO_CAPT_RX_FE_MODE_00_11 : process(Bus2IP_Clk)is begin if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if (Soft_Reset_op = RESET_ACTIVE)then rx_shft_reg_mode_0011 <= (others => '0'); elsif((sck_rising_edge = '1') and (transfer_start = '1') and (Data_Dir='0') -- data direction = 0 is read mode --(pr_state_data_receive = '1') ) then ------- if(mode_1 = '0' and mode_0 = '0')then -- for Standard transfer rx_shft_reg_mode_0011<= rx_shft_reg_mode_0011 (1 to (C_NUM_TRANSFER_BITS-1)) & Serial_Din_1;-- MISO_I elsif((mode_1 = '0' and mode_0 = '1') -- for Dual transfer )then rx_shft_reg_mode_0011<= rx_shft_reg_mode_0011 (2 to (C_NUM_TRANSFER_BITS-1)) & Serial_Din_1 &-- MSB first Serial_Din_0; elsif((mode_1 = '1' and mode_0 = '0') -- for Quad transfer )then rx_shft_reg_mode_0011<= rx_shft_reg_mode_0011 (4 to (C_NUM_TRANSFER_BITS-1)) & Serial_Din_3 & -- MSB first Serial_Din_2 & Serial_Din_1 & Serial_Din_0; end if; ------- else rx_shft_reg_mode_0011<= rx_shft_reg_mode_0011; end if; end if; end process OTHER_RATIO_CAPT_RX_FE_MODE_00_11; --------------------------------------------------------------------- ------------------------------------------------------------------------------- -- CAPTURE_AND_SHIFT_PROCESS : This logic essentially controls the entire -- capture and shift operation for serial data ------------------------------ OTHER_RATIO_CAP_QSPI_QUAD_MODE_NM_MEM_GEN: if ( (C_SPI_MODE = 2 or C_SPI_MODE = 1) and C_SPI_MEMORY = 2 )generate -------------------------------------- begin ----- OTHER_RATIO_CAPTURE_AND_SHIFT_PROCESS: process(Bus2IP_Clk) is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then Shift_Reg(0 to C_NUM_TRANSFER_BITS -1) <= (others => '0'); Serial_Dout_0 <= '0';-- default values of the IO0_O Serial_Dout_1 <= '0'; Serial_Dout_2 <= '0'; Serial_Dout_3 <= '0'; else--if( -- (transfer_start = '1') and (not(Count(COUNT_WIDTH) = '1'))) then --if(Load_tx_data_to_shift_reg_int = '1') then if(transfer_start_pulse = '1' or SPIXfer_done_int_d1 = '1') then Shift_Reg <= Transmit_Data;-- loading trasmit data in SR if(mode_1 = '0' and mode_0 = '0') then -- standard mode Serial_Dout_0 <= Transmit_Data(0); Serial_Dout_3 <= pr_state_cmd_ph and Quad_Phase; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Serial_Dout_1 <= Transmit_Data(0); -- msb to IO1_O Serial_Dout_0 <= Transmit_Data(1); elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Serial_Dout_3 <= Transmit_Data(0); -- msb to IO3_O Serial_Dout_2 <= Transmit_Data(1); Serial_Dout_1 <= Transmit_Data(2); Serial_Dout_0 <= Transmit_Data(3); end if; -- Capture Data on even Count elsif( (Count(0) = '0') )then if(mode_1 = '0' and mode_0 = '0') then -- standard mode Serial_Dout_0 <= Shift_Reg(0); Serial_Dout_3 <= pr_state_cmd_ph and Quad_Phase; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Serial_Dout_1 <= Shift_Reg(0); -- msb to IO1_O Serial_Dout_0 <= Shift_Reg(1); elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Serial_Dout_3 <= Shift_Reg(0); -- msb to IO3_O Serial_Dout_2 <= Shift_Reg(1); Serial_Dout_1 <= Shift_Reg(2); Serial_Dout_0 <= Shift_Reg(3); end if; -- Shift Data on odd Count elsif( (Count(0) = '1') and (Count_trigger_pulse = '1') ) then if(mode_1 = '0' and mode_0 = '0') then -- standard mode Shift_Reg <= Shift_Reg (1 to C_NUM_TRANSFER_BITS -1) & Serial_Din_1; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Shift_Reg <= Shift_Reg (2 to C_NUM_TRANSFER_BITS -1) & Serial_Din_1 & Serial_Din_0; elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Shift_Reg <= Shift_Reg (4 to C_NUM_TRANSFER_BITS -1) & Serial_Din_3 & Serial_Din_2 & Serial_Din_1 & Serial_Din_0; end if; end if; end if; end if; end process OTHER_RATIO_CAPTURE_AND_SHIFT_PROCESS; -------------------------------------------------- end generate OTHER_RATIO_CAP_QSPI_QUAD_MODE_NM_MEM_GEN; ------------------------------------------------------- OTHER_RATIO_CAP_QSPI_QUAD_MODE_OTHER_MEM_GEN: if ( (C_SPI_MODE = 2 and (C_SPI_MEMORY = 0 or C_SPI_MEMORY = 1) ) or (C_SPI_MODE = 1 and (C_SPI_MEMORY = 0 or C_SPI_MEMORY = 1) ) )generate -------------------------------------- begin ----- OTHER_RATIO_CAPTURE_AND_SHIFT_PROCESS: process(Bus2IP_Clk) is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then Shift_Reg(0 to C_NUM_TRANSFER_BITS -1) <= (others => '0'); Serial_Dout_0 <= '0';-- default values of the IO0_O Serial_Dout_1 <= '0'; Serial_Dout_2 <= '0'; Serial_Dout_3 <= '0'; else--if( -- (transfer_start = '1') and (not(Count(COUNT_WIDTH) = '1'))) then --if(Load_tx_data_to_shift_reg_int = '1') then if(transfer_start_pulse = '1' or SPIXfer_done_int_d1 = '1')then Shift_Reg <= Transmit_Data;-- loading trasmit data in SR if(mode_1 = '0' and mode_0 = '0') then -- standard mode Serial_Dout_0 <= Transmit_Data(0); Serial_Dout_3 <= pr_state_cmd_ph and Quad_Phase; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Serial_Dout_1 <= Transmit_Data(0); -- msb to IO1_O Serial_Dout_0 <= Transmit_Data(1); elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Serial_Dout_3 <= Transmit_Data(0); -- msb to IO3_O Serial_Dout_2 <= Transmit_Data(1); Serial_Dout_1 <= Transmit_Data(2); Serial_Dout_0 <= Transmit_Data(3); end if; -- Capture Data on even Count elsif( (Count(0) = '0') )then if(mode_1 = '0' and mode_0 = '0') then -- standard mode Serial_Dout_0 <= Shift_Reg(0); Serial_Dout_3 <= pr_state_cmd_ph and Quad_Phase; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Serial_Dout_1 <= Shift_Reg(0); -- msb to IO1_O Serial_Dout_0 <= Shift_Reg(1); elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Serial_Dout_3 <= Shift_Reg(0); -- msb to IO3_O Serial_Dout_2 <= Shift_Reg(1); Serial_Dout_1 <= Shift_Reg(2); Serial_Dout_0 <= Shift_Reg(3); end if; -- Shift Data on odd Count elsif( (Count(0) = '1') and (Count_trigger_pulse = '1') ) then if(mode_1 = '0' and mode_0 = '0') then -- standard mode Shift_Reg <= Shift_Reg (1 to C_NUM_TRANSFER_BITS -1) & Serial_Din_1; elsif(mode_1 = '0' and mode_0 = '1') then -- dual mode Shift_Reg <= Shift_Reg (2 to C_NUM_TRANSFER_BITS -1) & Serial_Din_1 & Serial_Din_0; elsif(mode_1 = '1' and mode_0 = '0') then -- quad mode Shift_Reg <= Shift_Reg (4 to C_NUM_TRANSFER_BITS -1) & Serial_Din_3 & Serial_Din_2 & Serial_Din_1 & Serial_Din_0; end if; end if; end if; end if; end process OTHER_RATIO_CAPTURE_AND_SHIFT_PROCESS; -------------------------------------------------- end generate OTHER_RATIO_CAP_QSPI_QUAD_MODE_OTHER_MEM_GEN; ------------------------------------------------------- end generate OTHER_RATIO_GENERATE; ---------------------------------- -------------------------------------------------- PS_TO_NS_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(Soft_Reset_op = RESET_ACTIVE) then qspi_cntrl_ps <= IDLE; stop_clock_reg <= '0'; else qspi_cntrl_ps <= qspi_cntrl_ns; stop_clock_reg <= stop_clock; end if; end if; end process PS_TO_NS_PROCESS; ----------------------------- pr_state_data_receive <= '1' when qspi_cntrl_ps = DATA_RECEIVE else '0'; pr_state_non_idle <= '1' when qspi_cntrl_ps /= IDLE else '0'; pr_state_idle <= '1' when qspi_cntrl_ps = IDLE else '0'; pr_state_cmd_ph <= '1' when qspi_cntrl_ps = CMD_SEND else '0'; -------------------------------- QSPI_DUAL_MODE_MIXED_WB_MEM_GEN: if (C_SPI_MODE = 1 and ( C_SPI_MEMORY = 0 or C_SPI_MEMORY = 1 ) )generate -------------------------------- begin ----- QSPI_CNTRL_PROCESS: process( --------------------- CMD_decoded , CMD_Mode_1 , CMD_Mode_0 , CMD_Error , --------------------- Addr_Phase , Addr_Bit , Addr_Mode_1 , Addr_Mode_0 , --------------------- Data_Phase , Data_Dir , Data_Mode_1 , Data_Mode_0 , --------------------- addr_cnt , Quad_Phase , --------------------- SR_5_Tx_Empty , --SR_6_Rx_Full , --SPIXfer_done_int_pulse_d2, SPIXfer_done_int_pulse, stop_clock_reg, --------------------- qspi_cntrl_ps , no_slave_selected --------------------- )is ----- begin ----- mode_1 <= '0'; mode_0 <= '0'; -------------- IO0_T_control <= '1'; IO1_T_control <= '1'; ------------- stop_clock <= '0'; case qspi_cntrl_ps is when IDLE => if((CMD_decoded = '1') and (CMD_Error = '0')-- proceed only when there is no command error )then qspi_cntrl_ns <= CMD_SEND; else qspi_cntrl_ns <= IDLE; end if; stop_clock <= '1'; ------------------------------------------------ when CMD_SEND => mode_1 <= CMD_Mode_1; mode_0 <= CMD_Mode_0; IO0_T_control <= CMD_Mode_0; IO1_T_control <= (CMD_Mode_1) or (not CMD_Mode_0); --if(SPIXfer_done_int_pulse_d2 = '1')then if(SPIXfer_done_int_pulse = '1')then if(Addr_Phase='1')then if(SR_5_Tx_Empty = '1') then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_ADDR_SEND; else qspi_cntrl_ns <= ADDR_SEND; end if; else qspi_cntrl_ns <= IDLE; end if; else qspi_cntrl_ns <= CMD_SEND; end if; ------------------------------------------------ when ADDR_SEND => mode_1 <= Addr_Mode_1; mode_0 <= Addr_Mode_0; IO0_T_control <= Addr_Mode_0 and Addr_Mode_1; IO1_T_control <= not(Addr_Mode_0 xor Addr_Mode_1);-- (Addr_Mode_1) or(not Addr_Mode_0); --stop_clock <= not SR_5_Tx_Empty; if((SR_5_Tx_Empty='1') and (Data_Phase='0') )then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_ADDR_SEND; end if; else if( (addr_cnt = "011") and -- 24 bit address (Addr_Bit='0') and (Data_Phase='1') )then IO0_T_control <= '1'; IO1_T_control <= '1'; qspi_cntrl_ns <= DATA_RECEIVE;-- i/p else qspi_cntrl_ns <= ADDR_SEND; end if; end if; ------------------------------------------------ when TEMP_ADDR_SEND => --if((SPIXfer_done_int_pulse='1') -- )then -- if (no_slave_selected = '1')then -- qspi_cntrl_ns <= IDLE; -- else -- stop_clock <= SR_5_Tx_Empty; -- if(SR_5_Tx_Empty='1')then -- qspi_cntrl_ns <= TEMP_ADDR_SEND; -- else -- qspi_cntrl_ns <= ADDR_SEND; -- end if; -- end if; --else -- qspi_cntrl_ns <= TEMP_ADDR_SEND; --end if; mode_1 <= Addr_Mode_1; mode_0 <= Addr_Mode_0; IO0_T_control <= Addr_Mode_0 and Addr_Mode_1; IO1_T_control <= not(Addr_Mode_0 xor Addr_Mode_1);-- (Addr_Mode_1) or(not Addr_Mode_0); stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_ADDR_SEND; else qspi_cntrl_ns <= TEMP_ADDR_SEND; end if; else stop_clock <= '0'; qspi_cntrl_ns <= ADDR_SEND; end if; when DATA_RECEIVE => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; --stop_clock <= SR_5_Tx_Empty; --if(no_slave_selected = '1')then -- qspi_cntrl_ns <= IDLE; --else -- qspi_cntrl_ns <= DATA_RECEIVE; --end if; if(SR_5_Tx_Empty='1')then if(no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_DATA_RECEIVE; end if; else qspi_cntrl_ns <= DATA_RECEIVE; end if; ------------------------------------------------ when TEMP_DATA_RECEIVE => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_DATA_RECEIVE; else qspi_cntrl_ns <= TEMP_DATA_RECEIVE; end if; else stop_clock <= '0'; qspi_cntrl_ns <= DATA_RECEIVE; end if; -- coverage off when others => qspi_cntrl_ns <= IDLE; ------------------------------------------------ -- coverage on end case; ------------------------------- end process QSPI_CNTRL_PROCESS; ------------------------------- pr_state_addr_ph <= '1' when (qspi_cntrl_ps = ADDR_SEND) else '0'; QSPI_ADDR_CNTR_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(pr_state_addr_ph = '0') then addr_cnt <= (others => '0'); elsif(pr_state_addr_ph = '1')then --addr_cnt <= addr_cnt + SPIXfer_done_int_pulse_d2; addr_cnt <= addr_cnt + SPIXfer_done_int_pulse; end if; end if; end process QSPI_ADDR_CNTR_PROCESS; ----------------------------------- end generate QSPI_DUAL_MODE_MIXED_WB_MEM_GEN; ------------------------------------------ -------------------------------------------------- QSPI_QUAD_MODE_MIXED_WB_MEM_GEN: if (C_SPI_MODE = 2 and (C_SPI_MEMORY = 1 or C_SPI_MEMORY = 0 ) ) generate ------------------- begin ----- QSPI_CNTRL_PROCESS: process( --------------------- CMD_decoded , CMD_Error , CMD_Mode_1 , CMD_Mode_0 , --------------------- Addr_Phase , Addr_Bit , Addr_Mode_1 , Addr_Mode_0 , --------------------- Data_Phase , Data_Dir , Data_Mode_1 , Data_Mode_0 , --------------------- addr_cnt , Quad_Phase , --------------------- SR_5_Tx_Empty , --SR_6_Rx_Full , --SPIXfer_done_int_pulse_d2, SPIXfer_done_int_pulse, stop_clock_reg, --------------------- qspi_cntrl_ps , no_slave_selected --------------------- )is ----- begin ----- mode_1 <= '0'; mode_0 <= '0'; -------------- IO0_T_control <= '1'; IO1_T_control <= '1'; IO2_T_control <= '1'; IO3_T_control <= '1'; -------------- stop_clock <= '0'; case qspi_cntrl_ps is when IDLE => if((CMD_decoded = '1') and (CMD_Error = '0')-- proceed only when there is no command error )then qspi_cntrl_ns <= CMD_SEND; else qspi_cntrl_ns <= IDLE; -- CMD_DECODE; end if; stop_clock <= '1'; ------------------------------------------------ when CMD_SEND => mode_1 <= CMD_Mode_1; mode_0 <= CMD_Mode_0; IO0_T_control <= CMD_Mode_0; IO3_T_control <= not Quad_Phase;-- --if(SPIXfer_done_int_pulse_d2 = '1')then if(SPIXfer_done_int_pulse = '1')then if(Addr_Phase='1')then if(SR_5_Tx_Empty = '1') then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_ADDR_SEND; else qspi_cntrl_ns <= ADDR_SEND; end if; else qspi_cntrl_ns <= IDLE; end if; else qspi_cntrl_ns <= CMD_SEND; end if; ------------------------------------------------ when ADDR_SEND => mode_1 <= Addr_Mode_1; mode_0 <= Addr_Mode_0; IO0_T_control <= Addr_Mode_0 and Addr_Mode_1; IO1_T_control <= not(Addr_Mode_0 xor Addr_Mode_1); IO2_T_control <= (not Addr_Mode_1); IO3_T_control <= (not Addr_Mode_1); --stop_clock <= SR_5_Tx_Empty; if((SR_5_Tx_Empty='1') and (Data_Phase='0') )then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_ADDR_SEND; end if; else if( (addr_cnt = "011") and -- 24 bit address (Addr_Bit='0') and(Data_Phase='1') )then if((Data_Dir='1'))then mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= '0'; -- data output IO1_T_control <= not(Data_Mode_1 xor Data_Mode_0); IO2_T_control <= not (Data_Mode_1);-- active only IO3_T_control <= not (Data_Mode_1);-- active only qspi_cntrl_ns <= DATA_SEND; -- o/p else IO0_T_control <= '1'; IO1_T_control <= '1'; IO2_T_control <= '1'; IO3_T_control <= '1'; qspi_cntrl_ns <= DATA_RECEIVE;-- i/p end if; -- -- coverage off -- -- below piece of code is for 32-bit address check, and left for future use -- elsif( -- (addr_cnt = "100") and -- 32 bit -- (Addr_Bit = '1') and (Data_Phase='1') -- )then -- if((Data_Dir='1'))then -- qspi_cntrl_ns <= DATA_SEND; -- o/p -- else -- qspi_cntrl_ns <= DATA_RECEIVE;-- i/p -- end if; -- -- coverage on else qspi_cntrl_ns <= ADDR_SEND; end if; end if; ------------------------------------------------ when TEMP_ADDR_SEND => mode_1 <= Addr_Mode_1; mode_0 <= Addr_Mode_0; IO0_T_control <= Addr_Mode_0 and Addr_Mode_1; IO1_T_control <= not(Addr_Mode_0 xor Addr_Mode_1); IO2_T_control <= (not Addr_Mode_1); IO3_T_control <= (not Addr_Mode_1); stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_ADDR_SEND; else qspi_cntrl_ns <= TEMP_ADDR_SEND; end if; else stop_clock <= '0'; qspi_cntrl_ns <= ADDR_SEND; end if; ----------------------------------------------------------------------- when DATA_SEND => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= '0'; -- data output active only in Dual mode IO1_T_control <= not(Data_Mode_1 xor Data_Mode_0); IO2_T_control <= not (Data_Mode_1);-- active only in quad mode IO3_T_control <= not (Data_Mode_1);-- active only in quad mode --stop_clock <= SR_5_Tx_Empty; if(SR_5_Tx_Empty='1')then if(no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_DATA_SEND; end if; else qspi_cntrl_ns <= DATA_SEND; end if; ------------------------------------------------ when TEMP_DATA_SEND => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= '0'; -- data output active only in Dual mode IO1_T_control <= not(Data_Mode_1 xor Data_Mode_0); IO2_T_control <= not (Data_Mode_1);-- active only in quad mode IO3_T_control <= not (Data_Mode_1);-- active only in quad mode stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_DATA_SEND; else qspi_cntrl_ns <= TEMP_DATA_SEND; end if; else stop_clock <= '0'; qspi_cntrl_ns <= DATA_SEND; end if; when DATA_RECEIVE => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; --stop_clock <= SR_5_Tx_Empty; if(SR_5_Tx_Empty='1')then if(no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_DATA_RECEIVE; end if; else qspi_cntrl_ns <= DATA_RECEIVE; end if; ------------------------------------------------ when TEMP_DATA_RECEIVE => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_DATA_RECEIVE; else qspi_cntrl_ns <= TEMP_DATA_RECEIVE; end if; else stop_clock <= '0'; qspi_cntrl_ns <= DATA_RECEIVE; end if; ------------------------------------------------ -- coverage off when others => qspi_cntrl_ns <= IDLE; ------------------------------------------------ -- coverage on end case; ------------------------------- end process QSPI_CNTRL_PROCESS; ------------------------------- pr_state_addr_ph <= '1' when qspi_cntrl_ps = ADDR_SEND else '0'; QSPI_ADDR_CNTR_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(pr_state_addr_ph = '0') then addr_cnt <= (others => '0'); elsif(pr_state_addr_ph = '1')then --addr_cnt <= addr_cnt + SPIXfer_done_int_pulse_d2; addr_cnt <= addr_cnt + SPIXfer_done_int_pulse; end if; end if; end process QSPI_ADDR_CNTR_PROCESS; ----------------------------------- ------------------------------------------ end generate QSPI_QUAD_MODE_MIXED_WB_MEM_GEN; ------------------------------------------ -------------------------------------------------- QSPI_DUAL_MODE_NM_MEM_GEN: if C_SPI_MODE = 1 and C_SPI_MEMORY = 2 generate ------------------- begin ----- QSPI_CNTRL_PROCESS: process( --------------------- CMD_decoded , CMD_Mode_1 , CMD_Mode_0 , CMD_Error , --------------------- Addr_Phase , Addr_Bit , Addr_Mode_1 , Addr_Mode_0 , --------------------- Data_Phase , Data_Dir , Data_Mode_1 , Data_Mode_0 , --------------------- addr_cnt , --------------------- SR_5_Tx_Empty , --SR_6_Rx_Full , --SPIXfer_done_int_pulse_d2, SPIXfer_done_int_pulse, stop_clock_reg, no_slave_selected , --------------------- qspi_cntrl_ps --------------------- )is ----- begin ----- mode_1 <= '0'; mode_0 <= '0'; -------------- IO0_T_control <= '1'; IO1_T_control <= '1'; -------------- stop_clock <= '0'; -------------- case qspi_cntrl_ps is when IDLE => if((CMD_decoded = '1') and (CMD_Error = '0')-- proceed only when there is no command error )then qspi_cntrl_ns <= CMD_SEND; else qspi_cntrl_ns <= IDLE; end if; stop_clock <= '1'; ------------------------------------------------ when CMD_SEND => mode_1 <= CMD_Mode_1; mode_0 <= CMD_Mode_0; IO0_T_control <= CMD_Mode_1; --if(SPIXfer_done_int_pulse_d2 = '1')then if(SPIXfer_done_int_pulse = '1')then if(Addr_Phase='1')then if(SR_5_Tx_Empty = '1') then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_ADDR_SEND; else qspi_cntrl_ns <= ADDR_SEND; end if; else qspi_cntrl_ns <= IDLE; end if; else qspi_cntrl_ns <= CMD_SEND; end if; ------------------------------------------------ when ADDR_SEND => mode_1 <= Addr_Mode_1; mode_0 <= Addr_Mode_0; IO0_T_control <= Addr_Mode_0 and Addr_Mode_1; IO1_T_control <= not(Addr_Mode_0); --stop_clock <= SR_5_Tx_Empty; if((SR_5_Tx_Empty='1') and (Data_Phase='0') )then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_ADDR_SEND; end if; else if( (addr_cnt = "011") and -- 24 bit address (Addr_Bit='0') and (Data_Phase='1') )then if((Data_Dir='1'))then mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= Data_Mode_1; IO1_T_control <= not(Data_Mode_0); qspi_cntrl_ns <= DATA_SEND; -- o/p else IO0_T_control <= '1'; IO1_T_control <= '1'; qspi_cntrl_ns <= DATA_RECEIVE;-- i/p end if; elsif( (addr_cnt = "100") and -- 32 bit (Addr_Bit = '1') and (Data_Phase='1') ) then --if((Data_Dir='1'))then -- qspi_cntrl_ns <= DATA_SEND; -- o/p --else IO0_T_control <= '1'; IO1_T_control <= '1'; qspi_cntrl_ns <= DATA_RECEIVE;-- i/p --end if; else qspi_cntrl_ns <= ADDR_SEND; end if; end if; -- ------------------------------------------------ when TEMP_ADDR_SEND => mode_1 <= Addr_Mode_1; mode_0 <= Addr_Mode_0; IO0_T_control <= Addr_Mode_0 and Addr_Mode_1; IO1_T_control <= not(Addr_Mode_0 xor Addr_Mode_1);-- (Addr_Mode_1) or(not Addr_Mode_0); stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_ADDR_SEND; else qspi_cntrl_ns <= TEMP_ADDR_SEND; end if; else stop_clock <= '0'; qspi_cntrl_ns <= ADDR_SEND; end if; when DATA_SEND => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= Data_Mode_1; IO1_T_control <= not(Data_Mode_0); --stop_clock <= SR_5_Tx_Empty; if(no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_DATA_SEND; end if; ------------------------------------------------ when TEMP_DATA_SEND => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= Data_Mode_1; IO1_T_control <= not(Data_Mode_0); stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_DATA_SEND; else qspi_cntrl_ns <= TEMP_DATA_SEND; end if; else stop_clock <= '0'; qspi_cntrl_ns <= DATA_SEND; end if; when DATA_RECEIVE => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; --stop_clock <= SR_5_Tx_Empty; if(SR_5_Tx_Empty='1')then if(no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; qspi_cntrl_ns <= TEMP_DATA_RECEIVE; end if; else qspi_cntrl_ns <= DATA_RECEIVE; end if; ------------------------------------------------ when TEMP_DATA_RECEIVE => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_DATA_RECEIVE; else qspi_cntrl_ns <= TEMP_DATA_RECEIVE; end if; else stop_clock <= '0'; qspi_cntrl_ns <= DATA_RECEIVE; end if; -- coverage off when others => qspi_cntrl_ns <= IDLE; ------------------------------------------------ -- coverage on end case; ------------------------------- end process QSPI_CNTRL_PROCESS; ------------------------------- pr_state_addr_ph <= '1' when qspi_cntrl_ps = ADDR_SEND else '0'; QSPI_ADDR_CNTR_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(pr_state_addr_ph = '0') then addr_cnt <= (others => '0'); elsif(pr_state_addr_ph = '1')then --addr_cnt <= addr_cnt + SPIXfer_done_int_pulse_d2; addr_cnt <= addr_cnt + SPIXfer_done_int_pulse; end if; end if; end process QSPI_ADDR_CNTR_PROCESS; ----------------------------------- end generate QSPI_DUAL_MODE_NM_MEM_GEN; -------------------------------- -------------------------------------------------- QSPI_QUAD_MODE_NM_MEM_GEN: if C_SPI_MODE = 2 and C_SPI_MEMORY = 2 generate ------------------- begin ----- QSPI_CNTRL_PROCESS: process( --------------------- CMD_decoded , CMD_Mode_1 , CMD_Mode_0 , CMD_Error , --------------------- Addr_Phase , Addr_Bit , Addr_Mode_1 , Addr_Mode_0 , --------------------- Data_Phase , Data_Dir , Data_Mode_1 , Data_Mode_0 , --------------------- addr_cnt , Quad_Phase , --------------------- SR_5_Tx_Empty , --SPIXfer_done_int_pulse_d2, SPIXfer_done_int_pulse, stop_clock_reg, no_slave_selected , --------------------- qspi_cntrl_ps --------------------- )is ----- begin ----- mode_1 <= '0'; mode_0 <= '0'; -------------- IO0_T_control <= '1'; IO1_T_control <= '1'; IO2_T_control <= '1'; IO3_T_control <= '1'; ------------- stop_clock <= '0'; case qspi_cntrl_ps is when IDLE => if((CMD_decoded = '1') and (CMD_Error = '0')-- proceed only when there is no command error )then qspi_cntrl_ns <= CMD_SEND; else qspi_cntrl_ns <= IDLE; end if; stop_clock <= '1'; ------------------------------------------------ when CMD_SEND => mode_1 <= CMD_Mode_1; mode_0 <= CMD_Mode_0; IO0_T_control <= CMD_Mode_0; IO3_T_control <= not Quad_Phase;-- this is due to sending '1' on DQ3 line during command phase for Quad instructions only. --if(SPIXfer_done_int_pulse_d2 = '1')then if(SPIXfer_done_int_pulse = '1')then if(Addr_Phase='1')then if(SR_5_Tx_Empty = '1') then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_ADDR_SEND; else qspi_cntrl_ns <= ADDR_SEND; end if; else qspi_cntrl_ns <= IDLE; end if; else qspi_cntrl_ns <= CMD_SEND; end if; ------------------------------------------------ when ADDR_SEND => mode_1 <= Addr_Mode_1; mode_0 <= Addr_Mode_0; IO0_T_control <= Addr_Mode_0 and Addr_Mode_1; IO1_T_control <= not(Addr_Mode_0 xor Addr_Mode_1); IO2_T_control <= (not Addr_Mode_1); IO3_T_control <= (not Addr_Mode_1); --stop_clock <= SR_5_Tx_Empty; if((SR_5_Tx_Empty='1') and (Data_Phase='0') )then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_ADDR_SEND; end if; else if( (addr_cnt = "011") and -- 24 bit address (Addr_Bit='0') and (Data_Phase='1') )then if((Data_Dir='1'))then mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= '0'; IO1_T_control <= not(Data_Mode_1 xor Data_Mode_0); IO2_T_control <= not (Data_Mode_1); IO3_T_control <= not (Data_Mode_1); qspi_cntrl_ns <= DATA_SEND; -- o/p else mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= '1'; IO1_T_control <= '1'; IO2_T_control <= '1'; IO3_T_control <= '1'; qspi_cntrl_ns <= DATA_RECEIVE;-- i/p end if; elsif( (addr_cnt = "100") and -- 32 bit (Addr_Bit = '1') and (Data_Phase='1') ) then --if((Data_Dir='1'))then -- qspi_cntrl_ns <= DATA_SEND; -- o/p --else IO0_T_control <= '1'; IO1_T_control <= '1'; IO2_T_control <= '1'; IO3_T_control <= '1'; mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; qspi_cntrl_ns <= DATA_RECEIVE;-- i/p --end if; else qspi_cntrl_ns <= ADDR_SEND; end if; end if; -- ------------------------------------------------ when TEMP_ADDR_SEND => mode_1 <= Addr_Mode_1; mode_0 <= Addr_Mode_0; IO0_T_control <= Addr_Mode_0 and Addr_Mode_1; IO1_T_control <= not(Addr_Mode_0 xor Addr_Mode_1); IO2_T_control <= (not Addr_Mode_1); IO3_T_control <= (not Addr_Mode_1); stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_ADDR_SEND; else qspi_cntrl_ns <= TEMP_ADDR_SEND; end if; else stop_clock <= '0'; qspi_cntrl_ns <= ADDR_SEND; end if; when DATA_SEND => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= '0'; IO1_T_control <= not(Data_Mode_1 xor Data_Mode_0); IO2_T_control <= not (Data_Mode_1); IO3_T_control <= not (Data_Mode_1); --stop_clock <= SR_5_Tx_Empty; if(SR_5_Tx_Empty='1')then if(no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_DATA_SEND; end if; else qspi_cntrl_ns <= DATA_SEND; end if; ------------------------------------------------ when TEMP_DATA_SEND=> mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; IO0_T_control <= '0'; IO1_T_control <= not(Data_Mode_1 xor Data_Mode_0); IO2_T_control <= not (Data_Mode_1); IO3_T_control <= not (Data_Mode_1); stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_DATA_SEND; else qspi_cntrl_ns <= TEMP_DATA_SEND; end if; else stop_clock <= '0'; qspi_cntrl_ns <= DATA_SEND; end if; when DATA_RECEIVE => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; --stop_clock <= SR_5_Tx_Empty; if(SR_5_Tx_Empty='1')then if(no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; else qspi_cntrl_ns <= TEMP_DATA_RECEIVE; end if; else qspi_cntrl_ns <= DATA_RECEIVE; end if; ------------------------------------------------ when TEMP_DATA_RECEIVE => mode_1 <= Data_Mode_1; mode_0 <= Data_Mode_0; stop_clock <= stop_clock_reg; if(SR_5_Tx_Empty='1')then if (no_slave_selected = '1')then qspi_cntrl_ns <= IDLE; elsif(SPIXfer_done_int_pulse='1')then stop_clock <= SR_5_Tx_Empty; qspi_cntrl_ns <= TEMP_DATA_RECEIVE; else qspi_cntrl_ns <= TEMP_DATA_RECEIVE; end if; else stop_clock <= '0'; qspi_cntrl_ns <= DATA_RECEIVE; end if; ------------------------------------------------ -- coverage off when others => qspi_cntrl_ns <= IDLE; -- CMD_DECODE; ------------------------------------------------ -- coverage on end case; ------------------------------- end process QSPI_CNTRL_PROCESS; ------------------------------- pr_state_addr_ph <= '1' when qspi_cntrl_ps = ADDR_SEND else '0'; QSPI_ADDR_CNTR_PROCESS: process(Bus2IP_Clk)is ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then if(pr_state_addr_ph = '0') then addr_cnt <= (others => '0'); elsif(pr_state_addr_ph = '1')then --addr_cnt <= addr_cnt + SPIXfer_done_int_pulse_d2; addr_cnt <= addr_cnt + SPIXfer_done_int_pulse; end if; end if; end process QSPI_ADDR_CNTR_PROCESS; ----------------------------------- end generate QSPI_QUAD_MODE_NM_MEM_GEN; --------------------------------------- ------------------------------------------------------------------------------- -- RATIO_NOT_EQUAL_4_GENERATE : Logic to be used when C_SCK_RATIO is not equal -- to 4 ------------------------------- RATIO_NOT_EQUAL_4_GENERATE: if(C_SCK_RATIO /= 4) generate ----- begin ----- SCK_O_NQ_4_NO_STARTUP_USED: if (C_USE_STARTUP = 0) generate ---------------- --attribute IOB : string; --attribute IOB of SCK_O_NE_4_FDRE_INST : label is "true"; signal slave_mode : std_logic; ---------------- begin ----- ------------------------------------------------------------------------------- -- SCK_O_SELECT_PROCESS : Select the idle state (CPOL bit) when not transfering -- data else select the clock for slave device ------------------------- SCK_O_NQ_4_SELECT_PROCESS: process(--Mst_N_Slv ,-- in master mode sck_o_int ,-- value driven on sck_int CPOL ,-- CPOL mode thr SPICR transfer_start , transfer_start_d1 , Count(COUNT_WIDTH), pr_state_non_idle -- State machine is in Non-idle state )is begin if((transfer_start = '1') and (transfer_start_d1 = '1') and --(Count(COUNT_WIDTH) = '0')and (pr_state_non_idle = '1') ) then sck_o_in <= sck_o_int; else sck_o_in <= CPOL; end if; end process SCK_O_NQ_4_SELECT_PROCESS; --------------------------------- slave_mode <= not (Mst_N_Slv); -- create the reset condition by inverting the mst_n_slv signal. 1 - master mode, 0 - slave mode. -- FDRE: Single Data Rate D Flip-Flop with Synchronous Reset and -- Clock Enable (posedge clk). during slave mode no clock should be generated from the core. SCK_O_NE_4_FDRE_INST : component FDRE generic map ( INIT => '0' ) -- Initial value of register (’0’ or ’1’) port map ( Q => SCK_O_reg, -- Data output C => Bus2IP_Clk, -- Clock input CE => '1', -- Clock enable input R => slave_mode, -- Synchronous reset input D => sck_o_in -- Data input ); end generate SCK_O_NQ_4_NO_STARTUP_USED; ------------------------------- SCK_O_NQ_4_STARTUP_USED: if (C_USE_STARTUP = 1) generate ------------- begin ----- ------------------------------------------------------------------------------- -- SCK_O_SELECT_PROCESS : Select the idle state (CPOL bit) when not transfering -- data else select the clock for slave device ------------------------- SCK_O_NQ_4_SELECT_PROCESS: process(sck_o_int , CPOL , transfer_start , transfer_start_d1 , Count(COUNT_WIDTH) )is begin if((transfer_start = '1') and (transfer_start_d1 = '1') --and --(Count(COUNT_WIDTH) = '0') ) then sck_o_in <= sck_o_int; else sck_o_in <= CPOL; end if; end process SCK_O_NQ_4_SELECT_PROCESS; --------------------------------- --------------------------------------------------------------------------- -- SCK_O_FINAL_PROCESS : Register the final SCK_O_reg ------------------------ SCK_O_NQ_4_FINAL_PROCESS: process(Bus2IP_Clk) ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then --If Soft_Reset_op or slave Mode.Prevents SCK_O_reg to be generated in slave if((Soft_Reset_op = RESET_ACTIVE) ) then SCK_O_reg <= '0'; elsif((pr_state_non_idle='0') or -- dont allow sck to go out when (Mst_N_Slv = '0'))then -- SM is in IDLE state or core in slave mode SCK_O_reg <= '0'; else SCK_O_reg <= sck_o_in; end if; end if; end process SCK_O_NQ_4_FINAL_PROCESS; ------------------------------------- end generate SCK_O_NQ_4_STARTUP_USED; ------------------------------------- end generate RATIO_NOT_EQUAL_4_GENERATE; ------------------------------------------------------------------------------- -- RATIO_OF_4_GENERATE : Logic to be used when C_SCK_RATIO is equal to 4 ------------------------ RATIO_OF_4_GENERATE: if(C_SCK_RATIO = 4) generate ----- begin ----- ------------------------------------------------------------------------------- -- SCK_O_FINAL_PROCESS : Select the idle state (CPOL bit) when not transfering -- data else select the clock for slave device ------------------------ -- A work around to reduce one clock cycle for sck_o generation. This would -- allow for proper shifting of data bits into the slave device. -- Removing the final stage F/F. Disadvantage of not registering final output ------------------------------------------------------------------------------- SCK_O_EQ_4_NO_STARTUP_USED: if (C_USE_STARTUP = 0) generate ---------------- --attribute IOB : string; --attribute IOB of SCK_O_EQ_4_FDRE_INST : label is "true"; signal slave_mode : std_logic; ---------------- begin ----- SCK_O_EQ_4_FINAL_PROCESS: process(Mst_N_Slv ,-- in master mode sck_o_int ,-- value driven on sck_int CPOL ,-- CPOL mode thr SPICR transfer_start , transfer_start_d1 , Count(COUNT_WIDTH), pr_state_non_idle -- State machine is in Non-idle state )is ----- begin ----- if(--(Mst_N_Slv = '1') and (transfer_start = '1') and (transfer_start_d1 = '1') and (Count(COUNT_WIDTH) = '0')and (pr_state_non_idle = '1') ) then SCK_O_1 <= sck_o_int; else SCK_O_1 <= CPOL and Mst_N_Slv; end if; end process SCK_O_EQ_4_FINAL_PROCESS; ------------------------------------- slave_mode <= not (Mst_N_Slv);-- dont allow SPI clock to go out when core is in slave mode. -- FDRE: Single Data Rate D Flip-Flop with Synchronous Reset and -- Clock Enable (posedge clk). SCK_O_EQ_4_FDRE_INST : component FDRE generic map ( INIT => '0' ) -- Initial value of register (’0’ or ’1’) port map ( Q => SCK_O_reg, -- Data output C => Bus2IP_Clk, -- Clock input CE => '1', -- Clock enable input R => slave_mode, -- Synchronous reset input D => SCK_O_1 -- Data input ); end generate SCK_O_EQ_4_NO_STARTUP_USED; ----------------------------- SCK_O_EQ_4_STARTUP_USED: if (C_USE_STARTUP = 1) generate ------------- begin ----- SCK_O_EQ_4_FINAL_PROCESS: process(Mst_N_Slv, -- in master mode sck_o_int, -- value driven on sck_int CPOL, -- CPOL mode thr SPICR transfer_start, transfer_start_d1, Count(COUNT_WIDTH) )is ----- begin ----- if(--(Mst_N_Slv = '1') and (transfer_start = '1') and (transfer_start_d1 = '1') --and --(Count(COUNT_WIDTH) = '0')--and --(pr_state_non_idle = '1') )then SCK_O_1 <= sck_o_int; else SCK_O_1 <= CPOL and Mst_N_Slv; end if; end process SCK_O_EQ_4_FINAL_PROCESS; ------------------------------------- ---------------------------------------------------------------------------- -- SCK_RATIO_4_REG_PROCESS : The SCK is registered in SCK RATIO = 4 mode ---------------------------------------------------------------------------- SCK_O_EQ_4_REG_PROCESS: process(Bus2IP_Clk) ----- begin ----- if(Bus2IP_Clk'event and Bus2IP_Clk = '1') then -- If Soft_Reset_op or slave Mode. Prevents SCK_O_reg to be generated in slave if((Soft_Reset_op = RESET_ACTIVE) ) then SCK_O_reg <= '0'; elsif((pr_state_non_idle='0') or -- dont allow sck to go out when (Mst_N_Slv = '0') -- SM is in IDLE state or core in slave mode )then SCK_O_reg <= '0'; else SCK_O_reg <= SCK_O_1; end if; end if; end process SCK_O_EQ_4_REG_PROCESS; ----------------------------------- end generate SCK_O_EQ_4_STARTUP_USED; ------------------------------------- end generate RATIO_OF_4_GENERATE; --------------------- end architecture imp; ---------------------
mit
HighlandersFRC/fpga
lights_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/blk_mem_gen_v8_1/blk_mem_gen_bindec.vhd
27
10218
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block JoMCOWeb5WJCBfHoFXpAeueDDgvCDiGp3AckCc481MQYfkwqbKzf91lDJ35VGRkR+lnFDdba8hVh ebdPAvk8sQ== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block bZP6jV/nU5x88OLSeX17wUzGVM/1H7fFl1OvjJVlfPM0WRyEzOpDDBDAUuNgnxFvzLOKKYEuQdGX W9Azus4jUwU+zlgsaiCb1S5W3YMjUJKtbRQ/PvNNulBlTlfZaMHLAox9gfCqP4OK4hzymuRCwSK9 PA7SK6I+FbKAacX9y/g= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block 38Ya3DupjVbpSJ4i6CmxC3OEuL9qNwdAvGt4GnhSmvDhP9C+krqPc261IqfCwYzwzxzaeMibTDWx /h5fHzYF2I5fsXilkoEoRxiVUecJo1YSbQfTJW8OEBtN5aYD4EfWNZxg7GXemsfNXYAT3IQ9OGaZ Z3OnlMzYiNTbG4DNtpaaHWOF6C1ZcpZaMxg6JA0ZIcSPls5SVALLcDt5FUbDAqBNYpV4JoWo+qsc FnhESB/fKp4TYpfMu8ZebNdGwLZE/v7NBBWsur4E5vgpE96o2V2PrhB/yUkeOaYd/sqFfOVAPPYH mOxmomWznEckwZ7yWdfaca/+EES9Dh2xe5bnww== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block D5raxCdsBjNBeucgp+JNk0QydQuZbfT0hk9FPoXi6WfKMKGXanrHw+M0M2EvNOZMUencxzfv6CtL nCmVqYCrBCTP3KURzHM5DqNYzQyp0kj6XGMA+Q1QHtCCtnTEsuFMkRdychCBXeOcnfn0sPqhPAb+ dDkLPxvSvOkSf8WjYwI= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block KE84+0MQOal9OYCn+WiAXywM19zQ4xYNV40iodnIlowR+vSp+kbADs/ClNTsY+01AbPMnO8ZTgZN CGRjsRjKcpFcdHcCbRqcEDPJE7OK/v9PEqPDH9NFgGw1pSJUkP9IpUNC9/uKTepjTRYkaMQQIcwb MA905J1RyQ1JTo8+T7ZjypavwIpWqfh9+/OtTNQBqe8xPN3IUu4u+7M4P7P5w0QOtT0XGFUOVu4C 5WyMVCFrGwdZoGJ0XcMR+keGC+lH3zgKGf7XDuZwC5nPj50Jr/CWT4G590JXwyjmGrh+LuEInmJ7 dRdHoyo/UrKvxi9s4oal4X1UmgumWAW7Jj7wfA== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 5824) `protect data_block +i2JWEPcRSCfDheN34U5CIXM7TMebR1UsErZd2k4GyCTJfly891tZwiJYCO4c3zZ3YZMRtqvDIzx sjbrVwcN30whDdYS6yF4K9+k5e1aAiIvd+oSW/m9arUHryWdsYqLE6C1LeAguwTA/1zfiD6YZoO3 nrXJ+indJ/Aw864XFEpkfRxb+IhMu3rIaoTNacR1LCZqlw0EmjbXHUHDI6FEM5RT4jFzufIuqu5C PzWb4uxkWBQKWBncwbWF+f5hSzh/Vuq6XSHNKRszbk6UDBCDshWjQtNMsCH4jO15citOGI816TFN 0LJNOPaXZCzMI5dFI3rhbA6Ed8Hjq0TB1m24vhmCmE7uAwvYOz3nKXQrMbcoL5+eUufC/UiKfJ3q MQdljYDDt8K6K9jI5AljGzCAkhcipmSYqZXVb3VI7Hu4HZzbMAsPovRBfNf8xvDQ1Hdx5Wq6pAsi Cnf0hlaqE1J6R8vMVZ2WHD6cLc4ah/FLVxvU48TUcoeBlqH2Ic00BcuwWSrdBfuzzU/9u6QG++0G VLEpAg6jUijvP68GDE2f37rWApeiDoXZcp5LgPtuaUHN2MOVj95ibjfbTxRp3EOdpLqBejkhqLj0 WJCTOayBP0mhDqqQbIwUUE+UZLh5HK/2KiQbAp/MNsoItS1v606AnoHqsCHn8kU10j/VH4E/Zep4 c1iAhEF+Tl6YWdO5s7etCGkdQTc3uAGY3xB1Sd2hWLk7yecOBAzEXknG44FvkmwdBttiFXP5cgpd 9/eDYbIK6ruHxOOMSF2CnlT+SSkn87iXcrvnTDxhKr/+MBnQaIpEG4U6hYGnoPQuLV7wPwyr50wb 2NR3tv0PFj4EjOTUR0ZH48QZCR7aqF9tKY0Yc5T4uA/wnlY8qxgsbeTGqo5cj+DxFZNpsN+rlJ3O afgmACsPGSPuvWckJJ00SCS3SnaOqlxGHBjhvRrS0OkA6Df8LBJ73OY1bXURqZF3YOLTU5irkVJn S6sKhToXzgZYZgjiOq7CGjbYHQWZbWPTCFPoprPNJUzP4AVFnqZfPiluC2fssd1fs6jBOBuQCCIS n6Sm/15h79cTQim1h7YMNMA3oEdIBn2jsfL/VTnr0QS5cCqUn/BxtNxX1U+rXZ3hMKjuvmfEFv9i Lh2y5hOPX3sJY4NRyiSWKgK6Vu6m79E6amYfLTjR2MjPmjKsHXuzwuwUuNV2TT4MTkxfksyNMTgH 4Hiab7WYOZQXKG7iQ/oyz5see0asjgyUnn+vDk9MDgbJ8H5mwXKfpghGrpfUPIeyUgD9pBRgI+4l dOhN6Dj1BIcORQu4OGkNdQUOv74SNshH+w65lOz96LUfxxE2ArhyTOgmL02v2j8wixqKvIhZh1HV XcSCbkU+ydq0uZkut3ZyGEWfjnejOzkjY8s5sD2OAF+frvInGiD0ALAzZogNeI6mc1DTi3QRh0jV q9tXcpyqPXWH+kepUWTWusQrDITesILyTES6cbsaVBx57+lLKjaNWANiZNhuviO8kh3LfNODOw/b K5ce3NPZl+/qrisHrLxJdR/X5v1NMsRPZ/Q2RkB+jNfuK83bGw3a7URdpjx3HFM2E5qWWHGUy67/ g7HOKATDAD1E5xgSUBhJhL+ZmkETwPmUy1QFPsWRD18jH8A8lgyKMh06Fp5z6r0ea91Zd95MOwWq r4uCt2R9TuXE77auk6/w5iKY1U3GwSUGmrXkEMlrB+cuLZ7BZqJVLLNr3V2ZroJByZFqDI3GIpR8 fe8tHvmBO4zAc+dZAXREsOr3Tx0bqUbOrr1cOekgd4wPZ1qcqWtJh4VQ/8F66mRWozNp96fErAJC 97QHlYujyt8su97BPFTAAywCHGYBr+k7CMPSlFIft2MTaAWM5+DceytNfdiClm3bDuYlk5/9zjmC ASzaDsMejOP+QqGL+UbYYRF3BjxZ6juRJqMj+IyG52hc5bVaRCfsEy1cmhz/YFPVa149rLJyQ3If TVH3K7XPIp7zPkggEPCj2GFVWFk+zHMPrRR/axC8Diz+wTV/DFno87SEWxXERwNk47qn7WfHAQ3Z UK2c9qweB9eMxhEghCWCjBKjuWsG8cbsAtrngtpmu7RvSF4YeDPmvQlGv5d0K9TdVzWKRZS8M5SK BqW/nigPA20Cvh+NUMTH0v+Maw7AsR6qIUruX4LZ6HUi2PPhg4TpHn/Kte4/2mI0ps1HrP9vzlb8 jgWlhFVhr/8ri0H9WAeXJLEHIUqQmALtl15D7twXD242Kcd/Vi7H8sYO+WyAOFuMtu0mZL7aifav me3a2stNZw7EG9gWCdvNe1sxa3Db8tCTX2li/kBNyZkMEZ4MhLU3MyosI2XOoB5Uh3K9PTN1x8xI vGVKoB/+Scej6lvJem1NkC8mV7pgPrGFnxm3dG04H+nvbdPbytg9U+WDqbmT2PXte6/n/v4m6WzJ +aYlM412vFLqIJ89NgEtzZkMhW8hgtN+XeJ6kM5WNe8LyujfISvzxJ6JjinoalaUuE2EKpdojjvf fJTQhG18qObaA988oTPHkUmLclPWGm5PMKyTuql//6GeFUHFI7Elqe20UOOh2n/uDqldCwQiMK8u ica46NHe22p6FZXhnG8vuKugGjW/Z+winsa0ZQKvnlfKGDB+DtLIcFMAj5Y77f0U+EHEpsNPdPua fiVszKdPV/bFoChbpEHv2ou/gahWEbFz0ds0yB8wEvDv4PWf5Qkx/jiGAxSmlWyJ81GeHQOb+xjO hLL+Nh5IjSkrMq9fe0pqwrTjj1Lx2d5wtRa39s3VHWo3I7KiNQa20f4WZthMLbe7dnsYcnJs7yeo afs3DuYmdOYt6ObbM8E2F2qNnqlR4xz1IqrBQpqcH3sCjbnJgEucfFnMA9eekEIcDZynWcQTMDkE wx8/TbpTqKownKkRD6H+X1Vs43aYk1ctEBnSONEgUbFk5L4UnqAXlWxy8P3/QF6c32roNoYU76qV x47C/1k0Gvsh5fxhJ3/d8s3reDin58w2YFhVTZEjRPe1/zvSW1kg+4UU2SmBVEYZkTHvEo552jC/ XR5WxgJ5QlppIstGzFz6uJRenvFTL7YMpYyQMyYjCuaHXrMa0KvT/dvfAit0WfKzMxL5+5hEP8YW XqDWg37UYgCuMCpGGEo/w2I5XVn0Jx+FbCaqpM/onCcafBaa/y+USpfH4X19LhRar/QGLlklod8b 5Zod2Ynn10ETeYtViV+8gWzUpRmR8VyAwSWf1lRj8ZaNHCvjYQJVkXbLgWuxLALgPlY3fwIslfIV mrB+Y4K0mGFNNpnmvDDzmrYhHyDlhKogZQFY5zucORtpsMvrpDnhztHVSPlEB0/PZ2L1gDSvkI8b V0Tg1umxma32gEra+VnwesMeef5tFmBaWNlWKK2Javi22CdIzrIDF4emx0+XrGPLrahKS6yxT1Gu gSmcTFIn5Pqep+Hz/oa+UkKP+X/FWyiyv4+9HmyyIHYfV0relTT/ue93QTkzlam6z8sbNSX4s/Io vomr9/8XQ3yDKfJRuUM7yhJvbAruAsLv1bf40cR0SyId14uOLe+mocIoI1uSUa67CkNmwsrqVdbq cD6YigX9A/tbdXIMegsafPPO7SpHUQi/NFZb28hPPSD2VfE3QUgOcUT17Zkx2rhgMVIn+N3Ng2Ln jeahpejXeVuydfH1vsxUDfh7URAnrEsuvVz48gZAm+fVtQxDHG5oFbjAxeUwjNOzQSpfz64yw3nz x1HY9qCQnhp95p+XJwFKdUl7zp1cQg8aqVesAmQHQDT0kiHbjQoRyIDBpbWV2NTfVLhFRH8tqVIF nWu91GKSB/lVMzNU9zOIaDMva9+w8klk0bnxUvjellxLHyF51NL5RUvpg1bcx2Hlr2Zd4W7Tcut9 s9KhPte9/iQo4i3+XrPzQyiMBD0931OC9jl8ZF0a6Vcjj/PK/QJXbrBM4fyBtBR8LpepXp1eA5rR xTHMW3oy8nWLKoOIf+v6/Bc8wfyuZRj7Hy0mi97QVbOXqnw1gHS1Ra6VqW6v4DunVqM9n613oDPr WOWB8X2hm9RouDS79SVDmrNSitQrEhRtZeHvMS6JFI4MfwdPgGowYVdcTAPBbgqlcv6GQ549jg7s Qdcjj/FBHkZWB246kCl3pLdi2wjqpvc5FiICHBYBBWvm7l7b7lj9OBDlJJQ1ZfumBcLEPzh6o1lM bEmc5CVeWaKggjfqtYGHIcfJu6JOevmo8F8YvPW9L9GSbX7z2rUQlYRsZG/Hz87NiwOPb4vyNj2D yVFkzOebndkKvpura1V1f3s+7tWH3s8NVMHBmsh9w8NkBt5ISfduf80ViMZjHqsUdk+GiRXa8Y0h VA+NENVH+73m+qfLbI6/bqbiHW5hOTcFL20D9zTWGO3+vY29DbQ095ZierV0db5xsoKQLmoCzaGg Eze7UxOBzM3jYGZ1r/M3v/so1AUKjdt4OReqBUn78xq8fQBCyH0IzsF7DcBezUgZSjj8D0n6PInd CU313MaNBMrO0n4qYxh4r8MkFatk0ousZEBpP9SZyZiQ2rEPWvmUbTrMZeUtw9lJ7AbfWdo5iry1 GImCDpPRXg1kgAIe06YWj/U30JthPFoEaloemg22Z4yXeIwOw5gSGyQOj6WyhD/LtiMVNyFWvSN8 5MPsec2QYLDxcffkyPhfN/Nonoa+PrYjJTGFsr8H5mdK2hODi0EdA9hjNWzOtugKGWI/2KrPmoZE We6Lm1zJtUEHL5GYQ/651bOfEo6ztlEreA/344ttic+6hMGc1wnkbmInQAFqqBVIiRqaa2cfgVto L2Ge8BoZeQGCo84eybj7eSEjCTfsELTvfqxZkwtGLPLTvl2rmVOqztUDE/8GPdLKVjdJUUcj8qqE 7H0BhPfKRxLUoNCO+1tCBVjJ4oU64b/g2AXQAb2daQzI/Rs0UuggAaHnbKp0Nf/81tN50NpzX++E a7YHeNEP9UfJEThwTb8cQL2Ame7xYLvzxaxuisMYH2wUP7MWdDJHgHqC631ZOYjN0cPGlcyH0BpZ Z5joSp8joNYOFdxeTmF0niuMSH9tox8dLNH9yBlgpFz3gBszs+vZ/kfIyIRzRn9gnWkV9bm0Aygs 5RxVtH+ZGdKtyN7RTGeVGvZB6+SLG9iO7kxtTwDoXL1mkm2oqECHWT7J5PQbI8CApFwHCqi8UaN2 Cy4jdane/edArWNiWZVi3OGNhX6LLi6lXHePpeN1ZAyyIW/Zp5C4SpMMYIEQlRzAK9wXccc5fugP ACV2JQe/WWQby/GMmd6WbVFMPjkyeOSYNiotbsR+Ak93AgI7+xCbzdavuIN7V+8X8dSUdfN3KYNW dgOo5hh2absqXnAKXqqun7JvS6ojzJcnqmej1wiIwnjESUOw8uYp9wK1AiwavcRN74wC9+pKuv4v VQjEWMk+sWMXphiQc1qYd5q9QFEjYRg31Rr2IyRs2a5wdtaZfXp1tTxALJ9RmSU6Rgq9/TYT0U3n yHEqdUCmlqk4mWUm/qb5js3zV7lOsCEWCiJasMiJc13BvKOEmM7LBIRX1c7claehnwjdA2MMaXOB O+2jlO65fJu6hqtkr9KvMCXw6xCBS5tGQGjVYeHTTP3q8dGjyd/j0UH058uqqEPALgYWUITB77Y2 33Zr0p7cG5Tq/osjF9EvTtPA/3WnVOjh+xBPB0rq5afqi7c72Jm/9zS//cxN3W6M+wMem6mBFlG5 g3egYBak9ppxK+ZnWOfDQB4DZnQoxvk0zpjxV8eyo7Q2GpWy9u0cbWY0ln8iE2xoAFZ0dW3O5pDX 4MyGbA9MNsiIw5/FaPe1S5+qIxOWIAv2IoiFZi1GpUJJrgh+ALGn8N8ISJVjNipFOMLunpuJdTnF a78n6uEAnH6AoZ5HIyvbcAT2mQRkZIVuCzq2cJ9AJMVmVdxvxm2V+n3hEcLiF7JOEJzLDUthKygN rdRUWO1BceOCrL3IXTOIAExp8EtanSci4E4dIy9vyMRjSOob8S56DlAyqe1ZxJ6bev4MPI7tOjiq XOR3GEfSkgnx4yVWXe6Cl/+Gcko+YmRKKeoNpcbQv/3S5dChRdEmxd9EgKv3I+MsjQd0ipbIZ7fm 7p9cfPzgzvMsj07Wzw/Fxo9oOke+ToFe4+pTkrpmtNj/3T99hpks37AZUM4DZG84ukfa7/xFzfdx t+HekYTEfwAMTv+emELfFYLNwdj4ITjGwgnhUfRoiTd0X34pUp4ymnKfMNvdHTWD0J1zFLH5zPWm 7G3HH/CmJaUgb3+RvkhTsRxOA5MKYD5FSogCidFfGejOhAJw8SV8np3+KUY352fTFG6ZKsnai0LW kQIUaSf6SQWfivjhbLzYkqWpS2F7gDTwD3o4f30iQ/jPyFvPsawk2+V6XUW+rH2V9bTyODZo5yHp nSbRcIIvoC6HltAhZ2PtvP2d/956p8alpgidGKHxDKNzsQU7ZwaeWrsbFgzguhnMSTefHM1oV9AJ g7Zxh5pa72ld9gEELd9AcMuw21OXkYvTSJlQ5nW4xpntknmAcb8+8mHqE3+OfqjNBkYxWRmU9Ufw I+Jftyaz0Ux5m7QYPSSVAzEuftr5aXLsh6QRaC20XFE41HcEb67aPiXtCc84m5XSZkdmJvyj1xlB msVZj8UkWj77lyF12ezIGfKrOTByMcMmXzoH7Z6tcLD6jb8FB5Kfbqe6naTTt3bVF9PW49vOXxIL 5i4JPdXbCnSsGW19T++RG82+g1ODIsxl9fM/yJNEtfbUDKDmdkcercDEKTyhOIiPbLw0VOH+yJTl QLYZSzf0poV2AjgD4ndVElsY4ZPm6rYnJXiwnzKgOAtLnTQ8Rym1wacgcpCvRnfY3srbkjvm/AAe 25cmi3NI89O6eTB4kibdnyNKMqJ3USDxdD/9by4pDF+ZIFTJZxvR3btjBtv5RzY6cOHwB7LsSobH A8PKE7wbdmfZwIcvZnlznud5dS7Zj2ZjDU/yMbM6+wbOl5fqBuHfkRfJPsA4eKBcVCsxoW8SQGdZ EdYf3pmCmohz663VyeuigA8axjTPpU/C3pUTOi9tF5Ex8tNQGOXbWVCZKTR8mxRBvPHQrKphcHqB ob2iuT/9UUBnx/Dj6pFoOTGiEAhNt6kSSOlI3/rGTBm+EKb3Z1oEneCqTqUGs0hHORjXAdIHt0J2 j9TcgjQwHQ6I/b68FVnyo8ywieVEcA3aX7VhGs/ITjoKPqhfUxsNd6ZuXnLyFzn8O3ulMTX4hlxR CzQ1Mox+bEwrT8WRBz6sdnUc1Z3VLM0gJR8fiYGy0BWp2IwocXw9bu3zKKYF6pvznIROcUuIUTip OO1Jx/iu7sJ9FzYLmqgL8/vd9B8YuOA6uKVIWIhgm7oEaL/zXS9/Ohyf4LD0dCA+TqXleJQqtI4Z ZNWDRpPfeDNonWS76ykWWaePuG0dTQZZOPI7R3mbKM8uejAVkMlZVJXoPALZkzcxcC3YeN9hbYuA HwvmxwrMUe7EENOzvXg+xSIAdBlWntWthsNeaKirrPqm38+NytbYYrdX+ISbMsollJnmorltFUCg qv+fDdUbTnfS1rIXEE1YFCVg1VVQYeCK7k7Y5kkesNa4hzk55X+7yygPZPT8dgyUKg21zKMsCZ/k xbUbBxkryuVRXoYJ9YB9lSWzXHj0Rg3NweQRK3G9sn7Ap3Z7AUuB9YoCWCv39+VJNoDB5dfRYT13 /TMJel/FVHMPbQvvMMd8+wfKt0QMsXlCTg5t/xUeCOlaS+eisd/vPB1LIsKn/kB71qxMoXECrEve EqYRCqgf4vGAtw== `protect end_protected
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_bram_ctrl_0_0/fifo_generator_v11_0/ramfifo/reset_blk_ramfifo.vhd
19
38101
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block kNSODHF2BA8phv8L5aZNyOOK56HCcQ5lgKBxF8hcTzwkWRF6WnOKZaH0cAk+oZsvi02J9SlLLySq oKFSyBG2Dw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block df+BuhfNWqGLyuHwX48C4kdWet0FAm6osy35ZO6nvLm9LeYvgiC7d+QWQpEp/leK8jaqvimQleVB qNUNsNTBZzVm+VZnT/+N9fzr+Kn5brl7DACKZQsJ/J0EK++GrIymGQB1+7LWFg6RjvqxHctXSERU pIxXjKUtzcqAwrR0kd8= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block j4klfuw/RrSoDKuTiN/Si4GPF3r+1zWV61wAeT879HAyso4ajbQGVJETjBzL4XBayVtdsViewbVc n3EWjppKn7DU95ziVUsafFQrG5PCVJ8TPZUJisZwRf1u8N8ojLSjd7Gi7vpDvGySyTXx9aoOQ69U XzJmTqPAeaivz/FLFyjHWzMuc078i+06EYa3j0uxrNsDH6/IL5syM3QcJV3812LlPGSBhRN9Wynk J5AcITSvkzy/dqcKICGyxp5ubBr16BEoG7l6F/VEXvTJm/kJnHW75YZ8OAQ3I6icKjHkLZysnDlK KEU2K5X/pkwYnpID2ogdwsEuEQr/xxo42oEmKw== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block AG9C2Ti5ZMi5neBsWpJ1qwXbrUaWpaRO8Qn1fL70JVZk4SiqmPlFkL5Hz8GrFfE4eBlngUFZoung TTZ2IeyMWjxhdHHDVda6+BqJtPiX+FBQnaCzRd4VBLDnB8KUn52eheU5F9XtqqkHq+oJV3U19TRZ Rq+NhUtknFhYrHlVXfM= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block TuUXpu2xk+duDJnZONHfYiEzeCuzIA9y6Ut5Y0LAE72Cfiq+aIEHs4lmSaypPxj5+E8SKfd42Iqd iKQPBy7GWczcAr4hdHMLEortigKfhxQvyiAB00CsQyuj949i0l26Eh+7iirhYh907kSXNLc4JeDy uXkHZzsX9mKBsIZLMO2TtO0R4ECsHQbqo/hSpi0B8kY4ucdqtZfLpEsAJ7G3XH1L+CD4o7on7UAz BPPpoVV+VIZR6heT9EgSZTHhg3uYl38G0Ezv8g8s1cbXnSuowx0B9mx89vkctBzRxFOLnzsFdBr8 DIKQCrHZfdOhrNHz4ZkgOrKjCDpwEkMA4ATVfA== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 26464) `protect data_block OCPU0CjwpVRIw8iUkWHkN6hMl6sOK/wg4415fQiRXIkKYuFNYrsrZgkVL6r1uDg/LR/3tCHoHNuN yQw8SGtfENLA5YZOfo8SXPAA1d1NGQCd6H+9rxLhKbUj5YtSrKSEhCU/F7wHukL+LgL+uN77coZ3 Kp5jwEBJfAKdv1OYfmZLI0d0llxosL45gxzGG8P1jd6oSbuLQH/phRyYwg7o/NoY+XjEHOAIreMi kMBkF0gXTwMCDvBlSpKQOil1Xv/TGW4mVRVEnSTE7pm5QEEfqPWEsMCAt4clyCGjzoLLZUtTx0BS ulp4UBdG3rYzjn2K0DWCNd+su4c469YmJI7lxM2YUTl9/bLr+TyesgJ0g3TN232UgbNS4PZzcOd/ +NcRqHoIVZFdJTVuVqCPFYZoFYnpH1Y55qXHVlqGHiL42n3k6CVGvz9kYLpS3jxIs31qzMSLeLc2 TeHh/fBzIvn9/qkuyLTCIFeMOwliy4c4YWFSPv8balzqmoxEz0WtWiMkkD/jNXx7/gklP80r+ixo 9GMmosND/t6P61T05XEWrR6uiJVXFWu7XMKpECM/wU+09UMipJ25bx33DndM6v4pjYQCZvxFhznn 5ZVxAlwCgkVX3Uw51Dbtpj2T0D65TfDr6R0lsc+baH/KFHn/JONfb4+9iYshTd5yT9LsdTB/pHmp 8o8/04jYC7UKFJreHkN9Ov2qvW7eBOfiZRyQGusOmnBwUGp0pJW6qEhYW65gLDL4v9uFgeo8IpGv iZr2wcUD221g1a/wNYWnKz1IC7IrcZjfC+GsDOEHOYOLrY/O5rtErjzvUfpMUC98Wnlf4oaIfEtJ 7ZHZiD1qQspZMVrDKJGGu6fU6ruMMKt14yW61CqQwaTrpvoF16ohzbHITmFhJGKTwLz4Ssy0EPbo k1qtTzStM98suDOcLJ36N8lkUb7LCJuoZ+DoqaA8XIkAYHUufrLLz29JAP7Ta/7fvBtAy1Fw45un 1edNM6fVSbmV4eFki7fnWOAeursoQCbsH5/sN3N7Kpzui0oXDzxbqiWdSV3eujUrEkaXlEsESAXN l0ZlLNDn19jY1kzXaBqaLTPHxW+Q3qYfH1todZuHX2Bx3wxICoUE+L/2exoFAyQlbkvcgCxSkwzq 36nZEySiFnQ7WHPHqoePI/roGWkQrGVZcDQjUeYHG4c5TwsKAcctCgsuoJsrvIUejnncDqAiLN4K ueOU4Eztne2SBAKEHYjD9b0hUzGyIpKviKKuUsXYaJCmlYEEzVlfzfw7hSJSFgJL8SlWuXemHhyG j2FmnBHskwGyJKKR6GhjEhul9+6nTbqIiKfUJuUWBGQW9ahlmROPax0XOuT0QQKi0PrH3PQLHmhu 32EVX4BxVqYNg2o6+uagL2U1px/W3tDw/N5pAFm3rHvsqoN2cIkVgXHuM6fyKlx7rnET1669Vr4U TGtq8EAPueZVOzen7iP1zJpXtpBEKn4hqdaiv1DzGfXi4IDnnbcFczeITOP2EWKA3S0HOz3MTnvW iJU7y+l5aqkSxKjxPOAi00oUflDRneRsgSyG71bNCEjriLLgrjhw2lpBIU3fITWwLotGhn1whblE WdUBSdjD9/COZNdwuqo2Z+23v8cieP+KN6xhONoZA2KgvW2sWyTIExjjpW5wajYXYgsr7y2swQ+6 cJhklaJcAqg1A/9oi5BMW9HQUmGtsJjwzJppM3OYbWgUZv85VuKKO8i/br4xMBsoxtuQMDpnPN/p DbRKuCJ/VUdKHnQXOBROpPjoziiku2dOmP8uZkfa400J7XLOmt5w60pUse95Q5gyNrbLa8FFPMJM qZEdGzjAEeUt58hdeXJaaVPOfOvPsaavo7uhk6yxuBrAJ4CLthksIyCyMKlAk4UvBq8t199BN18F xX8caP7Qjb5LinlLhvs32/i2MqCcLJ6aZUcfNkbVfA3d7ZMbuOICvZ1UWhboDRXMm+aw5JPO+wt4 vtixYkLErMzPIdiW6edkYZY0+90kPsyy2f6L8zriIlbM/ZO2yxGh8gUma3M7qOTfsgiXI7v/KuyP se5ugQuQB6sarFOGyDThfc0OPH4RT0RDWrjYse1L2guw6Ve2zWzqXah0yfrqusZIsLWQAZINIeK8 c4lB2CJ8xRUVQStQm7YZjtv9NXrDaoo5oJgGC7pO4gbTFvoC6H8toIh4S+tm+43aHDiXgNIT4Pzk jASPpbq3lnJXYdq1J/YH0+R29+z/PeZ7SRea2SILid4IGcdaW/NM5yl5e7wn353StY0XpzwkoXoz cGOpv+Q5gSLiu48qxPGA6zarnkZtJtOTTUMP5GtBygcL7GoMX7zl13wNWMRkmZLUenrRZXR7zi5T S9KbFtksua7HMsH+AvXbjV8tcMwZIwClRJrbN8pUPmxj7UfZ/U2hAX5g2AVABZIpGz0HsNy9n6jW W7zNUUm6THLT1IUj+BDQL041o0wqBRiErGb3lg5zCzkhRKpiXRf0iRlWMH22O25L+m9hlHMxKj/I nl4XPTQVHO02Q5pHfwP2pre4XqvFuv8bo+QTiEePG35opq7wlDWTAenh5i6REqsAnU4EpWxKKWtP PJYos/kJV3xbeubo8BaUW0iKmL5u1iMJZ3qhcjmfzwyE1NMjcZ6G/uAU8lB03HF3A7ndKFd+v3Sf 3T0/ru+2bSGnGsRvprXTDOoN/xUj2jzCt0XDAtu/nZUGIif/vF2GhsHPCcuZDiGPuPmnsr9C3rMU x3Yn8dyH05sxcI3MvgT+LooAnPE9BiDy5rFKe7Fvw+Nnq5oIaU7QT0delIOw8bg0hzxiTdNA6gJY pMCpMXCCObFpZXotuvVkeM620uISU5zCY9dymb+DbNqcPl0ZZK9U89Dd+t5dQ7lI0OKA9iFV1i5v PrCi7quyw1QD7pLfCAeaQptNNlvAb3B7VxW0kCyBGqW9ExGqmNYScbhEOVCbYC8hzIEw1nlkSit7 M2qMqx2mnJaYijOhsBcWlrGzYP3gn8SouDIa95O38N6618gb+RlrAS9V/pxQ8sTWYYom/k0El/Ze ubCCIBpGP4WCTD/v5GXo68E/FHpp7rdXeBbVFssYti1GaBoPjMpw2rqNzNETZgoUf7VeNUAua6JO +0geh3o3Z2GRg3UEo2QO/Cqn2gfWST+oI5vva9GAl/TCOfLqtzdCjQWGqTFFbBTLFrA/xvq7xIGy g71CTdF4Xu1KGTCXy/hjUELs4Efc+CCelhFRSKP564mpLasayqhqBOj8bGc8attrCj+U5womKeOp Av9TdBosRE2zacohrmge1hHjmSbT9dCHSb1R7vQcO7FSFtphvwODpbfTr9JfWTwJEdxtbFrp52nM CatbEFeWXhMAtZPv8sIx+UmCaWPK1JY4g4c0Hg2Et3M4j+DIR8pSrOxCaGblPwL+GYA8h1lS2+JB poPgRzTAiyZs28FzAfuJ3MIrx+A0SioB9WH+sbyOqx/sVyTEwWjtitEFEm18E4XTLKTggmbLbv/N nU+cLyNsNcoYo9H1VjYGSvO2wQGCJ7x7Tpfsafq/VTUdFFCGnwI7dZ37ZDv+DqlGCDAHCBuuajHr tnl4oQUC9BMx5bg0zf/sb+6Cbjd8P9fL7evVMhM2g3EaXfY6aMpsZ4hqmfQxqNOu4b9pzk/4GCM8 BKBziejlXZoQc1s7WiOfShaLY41gjDg3pH482n+Aw3Pa1QDDlayF5LZvh7Q9x8UDbAXuJHzftuyu tdp6Jld+2rwJzdiiLbhg2Lay3pQ3ettx9+lg2QAug7GVsWAXmHRt6cs8AbiHf6PlnXjMVC8ow3Ey eZ2wh0M648iawTtNiKCqUs0k9VudVQzuypJfDQZH00Q3lSCe9u7miD6Gy7WNyxya3mfWD3G2/SW1 Hrn2jsCYUf1wb7vZUmeOFZ6kSz7V42YLQuOsBItcpxYnV3PSpZw3e3daIdwZtXC84HNi00A1O3Ei Z0EvltQKFblraPUNa2V36+CUfHOMxvP1rt7mcMq930basf9i685Gz9qxF6WuXtWNEfAQhL9jGHt5 VWEniUs3yOecd30NwCPRxFOIl3EE2wei/Tu+z3M/T1jU/vkwOU4LRxDLUgCq9OhTNZPAdBtyBZAb ftGhG1LIlRlnXumSU4mOtBKE8nmI1Duuf1KmG52C83MyF7axg/wxBaUvmT8rr+TbjCoRkk0jigoN EsbFZnHB0IWAkQOGY5zj+kbRMOQcUg5hNdXcaDvrYphmYhx7NMbWg34LNfdCP4opyJjCToK/24Fv CaCcITto5OZnsrwyG4aWDXvWdHSNYLqxhRskAMKcF1mi+YnzJUTY+N5bxkDcHzQl4uDXHlklYE49 YWj9zwas3E3sDG+HaqL8ha4ACzXTrwymUs7J0+F0PgBH3I5a8uWqMuQkIv0mGmNZlyqUq97P5f6R 5+cYn+0sSNnQWqves1ltQ/czaNGklpx3xbdUiW7pig0Ss4cJwWvvfwcaSdzBUydTjBcaKTk8zJyy Ni3/735saghuYazGGJpQknFpnilE7TakAVBqJbclR9wgVtX6JU2umbbZO1qUOBwOBd97YWWckVCz cuzKVJMBHEqmQaNI4mtX//OPk428+SzGrPkISYbMrXOZKPyynHW8OJz6iO3YgAy/F25t9Isky1sY Yvs8So4oTY23eTXFa+pTlRe1XIhOe01Z0p4WGeS8ucQukp8akjr8JroSjg9WcQaC4UA7MylFwaYD UUyy/WXA/EXnimHjpThP52Ln+l+pp1QLAyWovf0zGcrBhrAZCUw3iaAlbx5nmi/FbMtfQ+KwsxkK imOp1Zs/jaMp8tzkSa6jBfqnjMbH2+7vwpk4LS+vKo1+SbS4bWB3lEg9+HOqFenzy7ZCnZmCD09W wNQG1Oqv7ore8Fv62sKlbOClt3Bwi54i1VFY4SPqu9MDm+FUbZ2YRA6U+zhtyPGbqBMdIXHKL64p jSmZcgAXlpB6iK2ZGbcZvHpyX4nYN/0H4G7gf5rgD8AQnZVa3pY3yrQgvDCWN3x67+E/9niIca2v Exq5nCgDS/n+uvMtkDkbivxRQ+C5GFPzERSicWx0sV+mtv1CKcg4DJxBueFcKn0EA4jriADVsUsA zgBB9YS01tfDCK1ShbvO9yRZN7DL7DHeDxBlhYu1fhtFoc2pzlkAIhcbTOa3+kOaMXUffeBj8rv2 jOOwOkD1CyWGQHboR13B9TYDzPZRkC45C03QZMBgpzGyANZRwKYlQY19qMkjTYnUw+S4ps8tqxDo ZgcBmG15a6GSS2X5O3eXZiF/mRDIgYX3VPUhsAgHN3DyWmWL1o59oPDLEFCVy2VxnDitpKN+UfgW nHqErdrouzlsxNdujYxThv3ZbQbZwpzuFHJ2wIB6rHvTOjY4I9T5NmrPKdDdKnVIa0hSrrxqwVJ5 VahlHWp+YaiJDVLgumqJ7g0fyTt8cagNapY7kGqMGupi1nSw/FgbZG5uBtYZXsA+mlwOv0/X5igE wKzO0qmH1YrAKVsDtg+EblBxoYfeOgMkehAxd1R7OQ1YEc0mdeC/XVJnZ6y6tgVglJarx5HadEoM oS3ywYUvQleBj1HZhx/3nWpvVggPtxNYDoXbOUGBHo538OOzUpPtUX+tmHXye3IkdbpqadFc1jXj 9r419Xf6BRBkQSCOVtV08qknGuWauoOcUNEWfz8RG6VZXNTTcfJ4yL3o4w0CWAZ0OJfrLNMZPGvG 4nBgkvvzvzQQon0diVQE7/cNW5y+QNMC8PdkuQgc5MGrRkVPmNmnV6nUsNPGQsbv1VUB1wu7MYid 9NItg5b5NMGIMLKd0P/KrRuH63LLr/jIGQX72sFEZPQ2JZxJEUuhD1fzYTUxwoikIo3N2EpuymdI HSBfLeLeAPOqMHkv9wOCNPw7jud2eF3l5ki5SD4Yf9JHQCu9tDf4uvtVmX/CrFZezrVovqRZ1qXu +mdk9+fTrOQT5oJa/2xteHx0Rj/PS6S04jiTceTh54HneW3Iyaurc2Vww99mhFXAZX6pjUXXVbtx sDYNrZ+k2BPM3/wkVMO+YUIj6FQCrDpyuc00SQVequdCZNJrUUaiu/4oxM21kV54ffGQTseCm7GS Sii09bNFlVloV5i1QQE+3wrNMi09ROXJco8VpfqLNg2FMgQxniYTdG8jAHVals4eapbGfBmFiDGm 079aAfNLANO191hjMrIirl/4xpTJo48Yi9iTwnUMkF8VJx4yihI4y7B8Utl8YnPk7GtmhzhDPf3A Ubah7/udL1yrGBzCcoRcOnKgHaO4dAyzom7cucUDMUVFJExi+zKFZtub8PlU2okFaU0Tp8yaRUAw HLw9CEwPi7UsUdFp9DNqFcjE0io/7GRrXhE1110ziRVewsBII8Jw6GkXaNzUtFGheEuhQYD/t8Oc fVI/KpA2MF2H1ClgL1FGAuTZFiOLJkOmsAeJQMhk55vrocPwMvEFMRtOWVOObwsT0l0XmAGTJOpL yBF4GBo6BpVVw5iEYBNH4fmaiy4Qq4GCx/SKGzwuI4A5kMCze0vWm6t3CtpT7GG/uYPqE2PDQo8D hVXz52j10eBYL6HN1Xvz3Mhs8OVd4ayqpNa+Is65rFjqA6NWFZ8+Dj59TXuTr0KIbrlaQakHOEK9 SHkNRafl3RKKMOmRxDhZmjLfT9J+dCI/fV3dSHY7QWHLbAxu2vDDXdXsJHSURp/GAcUHyBj2LgRv HJEiHEAVqbQeGx6ktWgMfJ5wgQ2oYDX6mbUJGuUGSNfqN/3Ic6I6NCydEDlYcP2u5xOFekqCCY2M OKWWOvIz9SCobcZC0ydQ8PZUOK+PSzobIQNhsUZ9Bcl+Jdjr30SI4gSdXSBkWNH+DGKyceqx1IjA xwhz4VIhlfwK9L12HTbdRoAUkw6H7GaaccbEt1glco9s3fM+zVfK1MdW7F7JcqG28zGApTr1Mz+B jXCJ11EFfYTfllU0mt+pNOJwzdlISfvsdQaCfUFvfxtCdEcckUCe3tQxCOnefmrLAcs1NIIyRxdv vJslfeFK5iIN5dze0qfaTi3JLv38xdBimoK/dpLDpJdZF7lhpSKghwXCs6tx9gL6XBwPrx76TKHR DfQhTEHLaDW7GdZDWjrDkP0Y50CboNm1uDnkSj9EZdibyBYa+OQwfUfrYbmtgDLUjQ6gxPKZMT5A /ugE1zJlUR82oRtfwoFt4+9RGOjRZZPBVgG0Kwu1DnX+0mCeVWwBEwb9dTY+HevVSlnGEi2ea/JE DSEmm63Nl6+cO7Sg8FcqzewI8OAhNxwPPEhh/D88abH0sioUFbYTJm2lZnTOcNUSwFn0inzceySt zqnlrhOchg/WF62my201UglazwPXLuOOJVTPELuEDHgjSosCMTK+XBBJ7v3pOmvvb8Q3ZmUkVT7V yxGCkFFKxNJ3GEkELeTDQnEXbcCAj+rSUZbDqvYD8PVqSlHt86L2M1yK234/wkh03xkNjVzXJcTT ssUKooGuJgXvrTNy7ja+Tud6yNmEdeaOFLPuP/gC0GqvYghp4q76KyVuO9qS/fNs/x1tc7oY1j68 h6XInGC1XShVMbKDhAdEdnNlIP4E6UdI/bNY/inytVyaYbwzFsrZqKh6gFm9Sc9CJFekgw/YkkQ9 7ILFOb75pDmIDY1aiJzyof+H0oAFksAD4aLsz1ABiJTfubHxUlYgIhUj6pWGafCK+srTEWBeN01c DXD73bcWd6XLK2SBiHqLivPrwO2rm7aBb0+AgmlAYlllk9FByY89VNfNjUb5mJLb+rMqRRWCfhGw j+qNWvIKprzU2NkxWjg/D4boHUWV0mmQ9p/P4defnu4JCz8k+dX1OYaOxW3qUtqu0oxMx7ePEGja o5z6PXI78on8KW50iWLGfzPajGrPysnwNAuug1brfztXiboBVsxc15OKeqW/9lh9J6OA4RHlNDlo pIybBBsU+pNoHS/8NTHsWJ30O0T/g0hVYFZO5pMRzDUs1BD3U4r87ixHAEfEWg+ehOhE0ISU2lMl gMgmb4zfnWpouI2V5zkvjaEO7FBX+69irv7x9Nv1scdWcxYHOj16dHloo48gWwrUpwcIuzehHhmo k6+7zKR1N2PpN0hJQ4TqV/BTb1vmEBOUtAmDGR+qQTM0mYuMeepbOnZd+smK+Fz3kOf5AJ8Qm3bh IW6pjWxiNqQ6Nl9fpVTS+Z8HWsxMRRO0RrNMn6SJID+0RmeRmTTkbqQlLX+2kXJvQ/tKl9SKU/Sy hGCyte+Z4OWdAjKicyb8ugc+5PDy7b2fs60rYec6ohy28b3L7ssmI0E81MtmcW2SDOQwxTvLQZkT fSezn8IyUKJvkj8iUYz7I+Nz2Wl9VwskrqGRQH/cpN1kg4DyB2LViZikEBo5/Xj7PB+icISMlGbY Ea54kO5Louosla6N1fnll1KeN3LG9DnOnhxF/LrTz02s41wRpDsSWO4HiZldLxDbTWXnH0nY1bva 5Wuu2yqdDO/ixAmsSXPTJChuAkNMy28d37qH8oQifv9nmoTzVsZ1S2sBmqoZJy6ztk+81pRUHI6v m5l6IL0H7CokxokToY/w0GujB8w4nQ5SJQVIKLVQAZqSJ7edFWtfDP7nwTfk88+6nFXZQe37Zs6c ZrgWCgI/wbR8YgXyXmsqgxOz1mg0W0oeQdEl9o/EzsuQ08RMvx2kga6zCCqVFR5WxGa08wreylnx S0c6GyGfyZS9wQF0UFpCQTTKtblDQA/tVJOex3LKO8D1ewBhDYjXPJ5NyItMAHeOUhyqqN3EVNsX I71WUbeAZXyCl4mVQP+MLRCwYSE8ndrzOCFZofEhNFWfHE4tjO50oX6KUyu9omVnOKPn8lEnu6oh GTLeEyd7YTFCWrFsy/ovtx4d80dGYkF734sCFfD5g3Pl9WvaGTpdaoHV/Ud1Uya/WSz8LEB0G6K7 Qwy0sNLkvkCBiugVydInRRQPhBSwb3Geh8TLCF9pBDDpLC9vIAuot373BEN3MqSFr62IyDt2/X8M o2tm0Gi2DJt42ucAh96bpPvetBc2XKKKRY3noLSwbENc4BZnrUkOWUKApDe/yT4Lw0HezjsrPJv5 XY+UinPk2+cqkOSesYudcS65qgX+tU9V9p5OnlZ0zvpIvVt7vIF/LLT7PaoWYPUkcNzW1bL07wui e2wE9gWFHZcG6mP1PQaL9OIout1VsrsCNE0kTm3eE2R8+n6w2fydCIWbNM9XLRaYcERANrQCEIyB gwsAh8YuL4V3HIvf9Y0bUT3Coxy2NHRcyS/i8FrhtypKTAQG2ynctNJLYzlETWnKC4G4zhie3td2 9hYKtjHK/mfHdzewB9I2DZsxPGG/D+aw+ASqn7jLn3/u9v1EhhmlZS1531EessRgU5mYeiOMj1tg oELkOzPUeCRi7aeu/lQpXLDjCA9ZpBAx2zwsClqMyOyqHG0IJIxO3lQ64trLi7ZBiutv8HxPg9Pg /49VyYoc9U2J2+o+WdXwDihWz27stjkZDFWXXcc/tlKkWrNjvCvNqpp2HxBpoRer64I6oaDLJWSC YRcB871Xe8vZS28ae6OvOhDw35RvIVx8K8CxzyliY1ATNNADlgnJSCII07UR0ifxIh1JRDMuY1mT V0GO1gCAkfbNRj08p2T2CXTH7d1vihz7ud2oEtijH3B/pL7izkxIQVKgiU2ulnACN4EMoCVn/IBg tzqaL0PWlrJlmDXZJV7Gcs/fylKpl31UPHE6KFWBwPrOtAF5KSNM6CqRfgkHaVwlaMdcnTT6R4Z0 Cr84U0ZD1fDmkrIZfkr9BuRnfrltD32xK5JzjpaX6pk1BSJrp9kb7ddOzvvoXEatge4Z+oBffUV0 L9mOvmqp4kSIRNt007Yggi9CiwYFJYzzYgN59jy7A2El/gUe8rc+RDLRsSUUCgyFrju8mav7UlVb cWHneCGqOl9YJ0HTQKWDk1vMJknVIQWz1Xpqr6YXBjFkKjO/p1yPpazN0tbMG+TKWoenLKBX4Woh jzJApqMylR6mva1pjRaghwrKow5kp5m1nkaGUx65rCMXRn1PlwEwtmhmJr2AiJGoFIfesHI54qnP PKkvHaXfPNK4JsEC+iqE2aK3duoE4QOzdBPwC8DEPJgaj1ASWHiJCHZwT/MRUFd+unmr8ileWVq1 C6ZBWKSK0IInY4bCxTeU9lQd6/eBWKPqn2IVpm1d0MgCxK6hARmvwWTBTpO2rsXj5pQyQZjrZ79k 1IoPZYS70qU8kaAVM9pZpKH6yiHrl2fSSdnNkCRoLIpK6JAQREBdk9oHL5n8wSYLnJNjfT00Qxu+ V1+nrxR0ac7044THDESdCAQ7Nbo/dJ18Odi+3JAw67njNVd0K9e56oWln4mHrGoN8mPj/ag+LEGI 5d8rMAiT+q46JCzFVC22SzO/tANwszVB5dUG5Sm5GM7/h8MrWe5itrzvlHPApWs1dNOOxI0Re1B6 QvNaIav1exmUu2GSXy99ZT9LUqY++e4v9MyCFhebBjIQgTw8tCT05ZgVjViJqvgG1HH59PN0UIW+ bElexjKTJUa978smqlRrSLYeNAkiDlLD747XTgMb1kacSaknD3ZOs6PiubVVH3IEcERKNxZqdxSO bNljXQwarbk3zqPe/JqAdo2IM07lEWTadPbDdLFRlmztbBgyakzllD2eFdeLVT+fPho3EC/7l7di cfRHTzF3Q/bfhZNDwG5jq1OrDSxqZseY1zwEvGzZQy19cvmmTna0IiuxM7eeIpglxd/pxS8UdVoZ KlpaEeziI1M5qf1LCI6ctc6Op0zEeLcRnmBXuHxGMnYprfYhJJrhm7B0a20Bp4OlFqszXiwYaUsL UiVu16p/h9bQpHk2SIJPX+zmjig8k1inEoOgO6Uhyt+2Iv5A8Kqr4Vpf3rwEN2h1/BO9sMzgthpq huJMwWc20tHBPEfDDYmYt3nT1tEypmZBo1qb/H8+1dGqHTp5o/0QI6piIQuy9QGph2sR8YdRSrzT BT8Il8f4JLkys55ITobn6yE1Nk8mOaJzDInx7pR6YqYPc0iJPW33EQgI/yRPQe/un0nCSzd2nlhX o4w2mELGYJR4liZ6xrUGoqKcdw+Op2j63d4ibC/hbK1ro8JAX+poql5R9KWeJKx7tCQghfoK92n8 Pip/M+DRG8ClJehVtCXQQnEny/+ul/PVGo1qto3Zj50peaDUS29FyodgZBMnzMRmyaTC9JC5dKA1 Grh11BpTSSSdk3gyBAtLnjXwa35xW4YAj2bBD9F6MJS3NyYsh80DpexZi5iNIgaiFJ0fXrvu05z6 U/Lt86iD24rWR51hQfdQhwP5cya7dwLU9VHiqwa4br7CeYVYANRUe55M57lQgRzD8mJILWg/bX/4 FZG3p/A0YJPDgbyHijL6Tk3AdFemkSlXuNH3qFzPKifiS45ke6f1aT8qxTQlAGkaUGRG8Pm23pln R6h1DpSaRjO3ue0bh9Ce4kO+MVIVqgxpRjuZTfkmF0SS40sg5nCRxm23yHNiJ9IvwpFNEgDuGbPg TBdJCQ8r7BOXe5+IcYw0zkJR5Lz0VZyPWI+6AGEXRPSSz3WWKURNtwNDy6LWH6d6Jhx6RiQDVfTk RkjEpzjoUnEZXG50ZaAFt+lVKN6ZWK7r3OTImgre4zWhGHROyfyIdvr3TCOCx9Yy4H+seTc+wzK2 VQMLMLwO6BwZJFScpBIzOsk+PJJ/s+fTAXoeYVNl6tk7asv1Hwo0hqk2IDZcSi/g5CShFMOdj7Qm O5EfLZ2dqnZ+bDflgftymw5+3SGdjan19BwxupAfj8PJJ9cJy9OXY33QpZ4YWbJOYkBlpLbfU+ni xXH65MJweN6JqI/FiIHMmxT4vcO8Xfp5hMJ0s2gqz+TDWwQR2jIfzb8TE/v+WH746nr//1+X2wy8 UKa7vwBaakxRIm4qPmN7tjv0FR+ajHRcRUDs86vfP5ZrP2r+wHc7PqmstLVOLVD34BQD+wG+6QLl m7aU41BCB6+iBuONG/AGKqsDfBqHrS52EaN2AeKLrPdRh+UOGZwPpRoHdBGKVSBxBf59uGPgZ9vA BNFId/ERG6+0A2yEXMkkjaHeQ8Ux9KfccW3rRM5tGcdVjPV7sU/J0ShnrOL9m4Nyw5kzqi677t5d JJfP2VlY8OVKGpOIUwOfqht3LHs5cTzrcz6+2GvWXnLcKVpjZ3zwDR7C3X+y6wq+044a0rjfuOxW eXSixsCGiGcA1Li3mEdr654EyVYobZXF7VQLUxurQ6Ga5WBLhWkPM/Q5rh01gwJfnC6Uw2uGic8z u65Ku25o3NjoDieqEZQBlI2fUqHmrXNRaAF2wjxz/psrrqdMHizKU5B81S+43xvRd6oZq9xFxM1S 2yHk+zfM2/5DrWqpzvZ7oFICkWs11ooa76QhS5qXC05fMerLSqaLWMQaZddAVXFClw2+Txqk4sbj +vMefG6fa+sU4GVsvsOdYKa7wPbzS27SiW8t7njeVaeCJ5K6lWL6I3Wo63qmEjMgSeVjPhkt5epF Hn5aw7vSPO+mQB3fLEI4rhl9lVfnI/1RRO+qe1/oQB2jVnLAB0wlJWn62TyNDZbDZslxo1ONjFoD g5XxPoDtAmhIdLMkgbJFc9UKz3Wg48L+kwYqDe/+ZksNSTX98y7ImVvSgSutjuBb3L3B5OL0VHYE VOItLkmql/Sv8sY0m47MqdVXba2G1LwGRTN5QAkG4G6x0yQh2sLCmRTf4d1oZPmiWJFxfoZU0ByQ pGpBaV0lqLA+poX7GngxONmS1nWuIasRRdpydCycEJ+bZl/mElk5n+WZA9n3Psnqz7/2sW25WcY5 0nl3cZqxQ3ocLYK1RcCMHb59M1zeLTofW6x6OiWoP/kThIg4PoNEoU5CAYleLDgexELkF2JfOL4b a8tZkkvBIbZvUcEdzBnz6cyBO+k61YakaJN5I5yQfXXH3DOxzoaz60tNEeWZD3iRrq8xky18CrLZ 2h220O7+kPLlUiImZnSszTMHqxi02yjWhz0Mw+BOxcE7Vc5+596gn0MHahfZbWwtbm0113GTPGKc t1U5ncWNdXqfYWdnss62PBu/2bHlTB7UQy+RNGVfbNruFboTNsYD4VBYZBNdo+WO6yHg2UyZBeUX g2bYqWEcAsNq5g37MVMwyd8P6Y+YjRlVmAn7oH57WrTu9+Wui9etQk2wvEthoqVS16Ni5u66jjCC sZRbFlkY5DAfM5L0rfB7pJokQ9v22lq1EnEM5ANECNN7jBnuJjsOTsvhCciYZ1NVxrBW/3ia5Bfq iu3nqf3FnlbC0d18kBJUIiefEgAs3Ye755Tdqmx7sygQVF8RMArrDjEZMEKQIjRhKziSRWlzfAFT iYShHgG8+Lpnd5a/rlTwCV5iPLqulbNoxGRC+44ZWs1297GZjKVOEWve87CX5C3BhOHLzHdI1YuD VngVbQW7RwBxR4MC7oWPxxMT+Gj+Dy7CqXQbq4S209IZoCE3P9yC94FJbVp/IbJ9HGwU4SW6y5Hi 9Y6U7AkBN9gjgAALZD4Z+SQIQdDcC/r6QmDFBO3QedVpXkUrmnm4XGVmbGVZuBh4A1dexgCrIOUR 5IpGtx1ZIqhXKbw5ffgoQGI4ppPmGGfLG1S4JkWy92jAuow1D+7Vouu2kww53ZaPZ/c4EqdNqb7C DNiqoMlXEkrpGSl5DE0rbIXHPJQpEjyLX+EFgcQ/ePo8X+9z0V+qofZsLpK4sMSJORCCrOoF07t6 wlK+2aDSji4inWciTmQ73tY8cf9OVcRiHBf8zMeQXnPyXDjUgwr6edNI3dOggzcD0lDXuo6b8v37 LUuvDWOhbcYcXjTN7e6JZuwunXJlPQOQeKk17iCqpzgEetqdZZSIup3vi3YzljNrorT49vK9tDiS +1O8MRyR78jwO/soNBLsKcGqshfu+dPHbnqzq/MwkcdcYK+4TYK4rsz6WIyDLf8aUj9kSguRPbOX tORJLvilqpdUisLgCRni7i7tSJHLnbz+CIYO/qFOJ8G88Gp4s8kUIFdVtFzgBgCzqMVyLUo48+Pg GKbCNRmGCHoPnv4W2BSE7Unaqnd2otjIx2FMRWnPIhULIbJVCjjZlcUXOcnfYqd1Xb7uS5ubfaJL YLACEjlYmjAZeyywhwCJkijdaJbx114FvAbd86wB6c+20JtLFqAHNl7vZ7W1KuU4hr42fYFxUGt7 LQWv+DYRkRaZu2Fm1/DezvpfLAFNpLUF9B3FwQ70NQaaX0KsLImVcpmLTVUCPuQFaTTtjq7xynpn NAOgflUj4vMq+jJWAhEGJ/6OJfKg0ZTTUWRm1eABwH1PgHp3qLdUCxVFrrfVlt36JABPQjrnL8f2 DItF/7au475MARlW4LeXT/4VQwzG3aqctOL4nA2tajo6cfOy/19jNGzWr/+2WzshEBsuapAm2mON O4Qcd/hLMVpy8LezLdbWaN1XNhBXwgoZltKA7JQdJiSd4xsz1OpxGm9HmLesnf1ekwKJ8nDy+KEC Kr9F2XSXM5M/vnoyhFIGYhXSznIP/T1JruGMGoaZeUL8TyT+OGGZ2ySGFdAL6G9UiJ9CM+3WW8m/ RkH56TPgRAU4P2dQjXx9e4uW4dTsSYYrRoGsnAVqx0vEDK/5MSwbMKL9SDiTMgpgZ1gxFDJjkE6K eniRGEnPgK5W8cfXLg6VBsfNcDPBvF6TpSscsuHz5n9DrLjxfolIsbMmKDmHXcLWo6XhZ4RP50zD Z/nBo6LBA/sKjVWC13Fs2bLY6g23YcBCdGVkOBMg9Iq9u3L962PkV0JJN9ZAmbInxk88rIPk3Usv e67A/gStbs4hQ1uOUx40z3I/wJKfxd+o4ao9rHjOSw4FubfjMb6SrnVW6Xb03MhfXjpUsdBwt2Nm 47oWcShB4dS+0RgPM2R6AE1DHRfcSrItIZpV/AA7Q+5THb+K2lSSAR6vlYhoUeRaPAVNd4glYvm5 sO2ug8Pbsi0RBpOSCGqhWpAmUzI4rsVl494dY+y4ba6lQlJW3mWlLXPHxMOU2xDLOrS7bv0KtJ1H g3x1k2CavDoa8Ypg/3xqWWadowO1XN66klf4dQEtNf9L0fL770hTFVCb+ugSL+raKIB8K0AZgtrx VxhiWijHPSC0pPC1x51uIUjG0cWMwkWeGRfbRTJ8haztkArR+649ziP5WpNuqv6TEdxsO6gjCS/O 9uW069hYF0YuQMWjMxUV6lnx0KtRhg78t+vJubVf4gMMxg0TAamgQ7pAtMhhMlQDYlDDojO+1jUQ J3WEgVMO/pbyXGu3LyU4cvdIAD1KK1vF073er77SV0iE7ztNmxh7TRpX/00mSKRrY5iXOM/V5IYZ tMXTYcV8+3XvBtLES756BAgEpiTWiPS9G0oCg5gHSRBey82wRGHYOT9HwGo8GT12CYLPSMsBr07y 1W0Iwff4UxhSkt4mq8UCqzWIJ7qDaih7FAlaQg9eMErI3wcFUFKb9cWkzIGztGHV79QxPQ5HPD4E oVR3DA22lLFqFxOdNZpJVoDHsrTelf8ghl55hTVTH83xExAFTkxs8KXxL7hFBsd+sJMn3/3TNt4c FRDD/bUMfrmVtrxT/TjwlgxWb2OuKSo7r0dPEUw7Sv+NGqynqlAlcm1pUZ3+tLFepdNsXUoQk3Bt O6xXEJf8bW8JV7QcKcLU0QniNs4VJcDxGwReRvzJnO9dQrKwwCsZX3HlwaTQr6gTISBuqshWKyi7 McMFaOTy9U/W4lnlaezzHAS9og3yVAZs9mpt09M3fyMDfBfoy9gZGU/+9wIpBh0F+PXgz+pya8UM YryM1sbWjr2Scx6ISAV1hc4tHn0qxjlCTZ9Rq5wj2xqODjeoKL4K1CIUQFHXCmyzXxteQlDMJYZo O/XNsFMjDEVgwue48Bxv+OjePFhz40Le4Cy9cKD50F3OGcG3u9p5seu8zhThGZvAcLtOu7v4NUyd dpN4iR2xt+rrvgU+IaTIQWoe/RXtV74mP5oLTZ03taVji7zUzj28JmGqdD+/j7H/Rc0oQ/9g/KUZ BnEr/f/GVP7LBn7nHIbbxzuHv7M1bx9XuFQ86k7kKBM4MdBNnbsgjCC5HmGQ9n405Ap3DWbgVoff 1Lzh21/IVJR+RMqiH0X4g1Mlp0vzT6XJ/QapviyJvu4jQJfbtg1sMzx9k9DOC0qa+61kOPy7XAC0 kAY/FWM4A86OvUQmXb49C8Zn2/voITDYOEzFjxYsNlef27aQvWzfaCGFtGCoFG9gYb+TSu3olSoA AIPyu8oKINGsagbjYMbLu6/TW8NoOtXbBj285aKfz6LLg3K0MU3HBbh+9W1CxWCQp0fiPC07RHE9 HbijVo8lWB8t6jptGuoLvkSs0GyVfR2c9T1aebDUHnloEOR7pUGcgFWMvOyqWkinOmgotWZ29bgF ItB/gWttRtPr4iVgZabJeYdSULNMKpVlHf+02Qv+J8P87x7vrhe/u4gg4JtiRcrjii4T2onjgciL B3aRcdXTd9X8Lyy8WcT8vSNJmTWK48DaEQgNcMZybemaZJql1cq3D/xIwZ0nyRRLIqGJ+S+EgfHU nMSelc7qW+5c1QqVu3X6jntg37071f6ssbUw/R3xP9RwWjB/Mjk7j/mrshgnfe0fvAy1mH49b6Kb 1uDJ9pn/tQb46hkxQTswb0dHruTL1acKlmtQRh1oAsY0OlVAaZxpoDpbBwEp63a3n2xmanaGBKl8 zSFZaktojZlX9zpgKqtQgXuyRGd9MDiOaN8LStcpKH8vw/vb1QkA/5YnZK3lRiJpV1MFXbCRCJ6o RxNJq9SNuL674tcDfHr4o+ttVpDaifK5etVgkFkqUQe+KkkIiI2z4J1Hclx5wHqe6uHeUdeuBrqt 4ftJadJbDne/XuDQudk1PmODE0QpfY//hhvTCq70GLdSa6C6U5i+tVXaE9nhklTIlR1mZ3Jih5mH MlR1k/AtxDKi9y6f7eLc/Ww4HH09bR5jeBtdAlF1Yf6Uw/zKTgD6cgOCPIe3xYasP5tjtRX6IIa0 4eC6sSt26CyNnBuocOEKJo/bhykO1iuuoL03v/tZzesTf7B/XH/qeOiKG1HWAIspYWoXFCVV15Qf +QFn01emcUF9PfIVKJRDiCOjnvVscwdIf5gWHdCxWQGYJAFT/r9/I3SMIoqt+eW3/e7mo54zVKZY YubifLfjv8QoV7sdu8KqayiSsgOy8rQ4cler9r7G9ramgFTB2LgoHzrtLpckL4xCvjpNzDcLiwOk lTjll5s2flZZKAEEVMkIt/DTie3+FpFG206XY5Vcgn51S6PT4xCPLfe5Qxz57pbBD7C5vTfruzYg 5bbvQaNDpwWrMRxchl6O7UkH6PM4wV4B88iwp8rwF+XErRx8o2jYzGO43rZwABfDWH+phahHBKng XOIQ5TmNy3S2/q4r+LXL4/lxpHMAl6OnLfKQX0JiPdUaH1daLi49WhUqaoQmCK455yyyZJVosP3s 4rYhiQBGbXSoHyt+f4mwpNXOticf1WO6okc150Psq+0wcGQtp9zL6JTHIprVVkiT+trlrPaYw+rl xenqBpRAS1WDB17dCY5WWLlDlXQ9Tsxvwy7VniJ6nnaY5LrMPLLIi9sfhYnYWhyJK7IhHvgdZ1nO KAG9mBAXkfhsXD3kq15ToGGLZZPfGOIOqRmExj625IgXhzyXKSlwEIlAiXaDDvcWtpVVrLQHzlYT H+oXxZG5uvewNyEOVfd+jd3Q4AOqNlvecTGqZ4EJnJIwBHxfikj8KqLcdYg3+kSZ2NfiylL6ZOeV C6K4kU0V9ErYhgNiQ2IxoR9+brbNeaus4G9nHB453cNNrmoCwAKqvWgvQUz2TPc1sCQbY8oja67s CCCOzr3cNe4TZG5+Itcwx2m00SvsUDDvniv8uliYnuV9LNvqwHs+0Sf9Nxur4OnJ9BPgymdOKGFD jwDxVdaAKtq9U+Qlnmq+xJCFi+YPeArsyO/kK0//IfShuODvk002Q429apy2X0IuwORZb3ac7x9l MWzIK377zyFWmb/MCDOYNq84P5YAd8CDl5OC1Tc82iWV/LtYoSM4UYBh8S1hsL/BxQM6Ilp9zaGL 6CM2FWsmMMhXMlIAgEi6I7cXP/IyKc84GpntJLTZM5b59mWjTtQbGa7E4TKSJ5iW8+AqXC/M9aw1 dET7GlmfjYzgE99dd9wPZEMTDU25gXm1NsP8bw/Ho3fjlLyy6YUe17m2AbgRYCMdmX4mcdVda9++ gNotKgd2YPEG7/zJeNGRWO8ph2Ha3xUic40kcpXR1Qc3NKxVWeuFjaRoTu8mCWJ9P1itO6V4nkno bzJ2eHqz9FhX+TFWh+W05wltS8FuOWP4TVSVAaP+37A6VtpPEnFSaVbCkw77zd62lOP4sFBCCnRH KBytfOVlYtFW6cpVCd5bJdFH8TWBgT1pJcEr8yY2d99mva6ueauAFUHnY/UcOSyX0o69pG1saL4v jAbC9k9LB5Sbjv5Xt+0o2FdL+DPHFixPUowBgmEwzIyIwYnk3Xfm599d9q71Nm/5te7jUr5be7M6 790CaC+XOvfMgQ6u3rRFhNcS4MJaNm4bpnljaI3nMVfOv1p/PrJNaH+NQ72ZGa3WwIDgYoPdwj0S BaW7rVZXO8RQ6NG/gclsRcrjtcGMj16iQ8YIatqlAly10Rp0J7kaGtS+rOfEhtfUqVJeGReBMDFT rd5Bs60hZleNVBMr0QHpGZHVk5nmb2Qa/LifEvh83Qs5RxGInMovTDICVvgz/O7wUNhPmu/g7EmU C10K8WWr5KLm9Ar5MFNVxTi2VByYwlnZTvvwGuQXVyh/ZFZHiHnKa4X2KC253MEel05WEomDNNaa cKD3jj2rlERwbnY6h6bPpyzv8XdpWeaqu68F0bUkzd24tmYixT7RFuYOXCEP4sWJKtDpZ4ZMQazN L5X+zITmne5XpX+b/DJdABeYfZGDhPftQD9N5inMezmrKx2TiiJcYQPJj83ANKezUS4tIs/kVRup 8iHhji74CpChD+jC6EyIFP3qzBb6du5hxV0PSWGd+DW6D8viDihQABASHzt4gFc3d9dIIm4S6eVk ixDlmBwD0Unj9xhNJbcPIX+OpOf3VSbgjz8O/KTyPfJJbvh5ufzkGt45F50kfKQyI7dQn6VTyO7a PP2K5fcZITQW+K8T4qbyqCHtu7SnjCHck864FbT7Omyt0nBLReRmLhFB1NRl2McbdzhIb1zAqIY5 1OHUhhDM9zsLCxfpfQ216AkYHrDqHBQvmTHmmrUQmz+nOlT+QCLo1yE+naccM8a9rmovQwInVHzv pgSR1KK+ZQAi1gmtFcbRkEWtpcbD2EqSGejWo5QmpUnSdwU4rLmLgJhqmiyE6sbfm/bbKjsoNBBi EnM6AWtb6HMTSkrkd3gyRi8+UIcr4dZTQk8RuZW8+xEDknO1gCXTK8XnTOV9jwdYSHrOyESu1wOG LegMU4Q4Ea36aWNjeMF6svg8Drary21FNC2YNpK1KuNpT7c5vbBeb2V6W1RnZAVr/OWiFfaMsY+b 6LSJVo/fbBlFuYT07+LEPZ/l5o53DIWLpUqdhbJHoPITU95gAWRDrOumhu3NknO3pm0EVsZYlagt PA7KFifTwiZ3VCMkYLmC63HRmt3Fb7FeJEHxHQdCEqtBzFBV8E+nDw5lqRVVII2KpmN3lDc8pEH1 aZwq6HRwtomJoMkEFnnbw83Qrd1vsk+PfW+UxksOmkuCL4Y64OJOhrLu45y6q0Aic2UddZqPmgUJ gqfjKka24SeNGp8KZBE+jRuCt35trq2wj4p/1Y5avAklBaB3AmYHRN42LoXDgp+x5FhKzjSK6lVA RD0J//m/ldOLzicJ6OcDBMI7uNPCogWma6LqhUF8itLqnzPhAxNxIa7+Qwx1OcD/tdwBbCSZoboS Md8zqJcjLJdqQ4YTZ7b6i8UPaJx5RdUsqDqV98DI9dumE94xnmUa/oH9MJIALv4OLWav1voktZRy sZfh+bC8veZx/A225g+B7diYkvSFnOT992Ozbb9TyJtnvd43qscfkqDMJgYC+OXWJyRAHkRomcSX hPyoYxnYqdwfcDPrqVpsVXIhSP8nfnG/E38botzkYLNq4pmTbxFBUX2eGFIsbhdiz+Qr9VNU2fy/ qMQ6rNeEOe5ml9JVTh6JuwmPGv7r7re6amo17G4817sJCirbU0tFOnLA8R/BHoihpdsou9z3LISC sWsg8yETvm2DOOLTUP+s8MKxeKJvzsxYgDPHtz/c+nvkInGhHydu27EFVkyw2MW9ZxokPDrovBv5 NfkVMakJl3AJGlpWY9rnBIdc/jor1T7dTjwDnG6AuiMeThCwrhryU5lQTBA0UTOAf5r3ZGh9Y3eK ApJGUFJYFy55pMVnSLGUGpJsb8g0o7TVEZCjF/ZD+AaHYVzH9XVqpfDUYJDgKlD86+NJ+Uu5xd8T B22uE7aIhhwXP00GMxPDVnKqoUXudjuqrVuFT6s9vNgzPuUGQV5gP47ZbcSCpj+BDvvdEvIBbBBv Ptm+DH7m4+zwdh1oEk/AeWtkt5pRTufZ5HgsIWhIBklQvut1lvGR1OH9L94RTPe5a1mH8jfEr58P Ciz/kYwfcUpinsRZ7dxxHKXQgRxBwmcEXpZl55wuX83YMhXyw5R/UVoctDJ7iC66fWPoWfa5h2ZR vQsIyVb7pVukDHSjRkWLBxTRgXtOVMjoHmyuKYWslafo+to2TAjKaBgP6wXpSBOQitGcL61/XsJg KNR7uGVIZP/7puulQ5cCRPUVKNhzXtkOYOoUJgjzNngfaqGrUfrEwY/P/nc5TfqSDwAau+TOMt/F qL/eei7WEu5Icv009BuEuebMYyv9JNCTFg+yhekwEMCeUqc6t3yokAmbAheeHL9MwobKtLnv7x9w 4j57KbASmejQp6cuZ4AOAtnZLHI5o9I948P783AoOdQMRAi9KokdqQ017ORPeV+ZYfvdrllgXpfc SYpPEmis5fQe2b9oKyngiAN97GWtre9kenpZihKbIVfpBkd4ukFKk7hoW8HIkjtH8sDNxJlr67nI GFb9+lrM9b/nv2ydH8mKJnygGZf6SqCluC57lgJa1ySU4lf4NbdUVKvx18N1adQxSTtYUMyNzqL1 +8G4EFdxOp8wyzyxw07I7GZaSD7imE6mW8VQvJMmP4UcpHmOMLIzXrLgML8OwB8F7AbYA5d/C7rK oxnRe/fmE52JcP1uihhNneMbYQG+UjFip3RA9zMqEq8VgMK/Q8ftN3Pzd5FX/FU7ndsjsuMpDHMo Y70pR+aGK9k/dkKDNw2C8OhH975t7gm7Vwf0qmcYxMa/ZPMTbTp4X4aq8IuBHaPSwVHP/RZQaTmC 6qNh5/LgMeqUwWZzfV633Cd3Zp2TM7gYWRQEw6JzovWa5qCW3Nq6QqdZ+sxMyf+f0zFWwO9Wvn0y 4YjkJdN8DRA+1O2MvTCK0+uecI6LxKvy1HPsaHwsNW/jvr0IzkzttgejfXGYZ/te/oKP6Z2CbLpj K8xG0NnCzqP3srFW1lrZP8WniugDggvDATVyrimcXZ9x345EGsRmS/hm58LKlV0uZjpgFxHPzADO wJcWFe6vK6fGV7krtm5CEoIbkdN3woo7kPamszClaQ/K0Jb2QylIoDlWjbHhIu9+llxcijQ4AhuJ Q1ULHlISLNwuuhF0DRJdkFhX65uhrFzRVRCV+DBHZWC/RQezTC7lxhfQ4Y1x6yH5VKqzHhacaTDK GALZfT+ZgClE5H/CI0ND/45z7MNqvgrMy/64kd6Q+i3xZmLNkrYAc0joevN5Zkdg59xYMbVU2Uhw 0BgmBrW9mqWUZ+MuSMh9py9jQmugI5qL1Duugvvk+TqKpID/149XDwRMdi/cbE/8zX9982P6SjJC Vn0XkvfdRmoJ053GYejV+rlP+cjIxz/xcujeAcZZvZrsidIQPRY9dDLvo05WdGioWWZwhEV+Ka5h aZlK7uu8qW2fL6rs0pCXGpve2NatKV2j9MnB+ySM09m70ntsBgfK0/cXkKErf/uUSdHns+1fDl59 9KNTCpyHcm3WtmTlQ8ktO6KBTjefhBSfVmH3kOE2oqKCRjSQacoex29j0wt3tqIxMy4Thtx8krQT d2MZjgrigDjkyEV7YETb7sZUjSECE3KNgtx6t59G0c2HJFJKnSzRMtTwCo/gPpNNRMwOitJu/Tux yPz/UO1IpfffNQxl7LtxwccnOcFqyIulFc9fgsb3yvy0qNCmfzvhs95zWW+/O6zGbj3FC5ilEWbA gwh56xeIsFm46IBnMyIHm+Vy1swn/xxUBRP+xf55EYHAtGuNicHChA4mMgztJWHFSAB57yBzpw1f f/pt5Vxnbk/Fux4+79WW6KpcgmxWz2QHQ5VG9sbyXKl7xz2phS3yoncqStX1ZjTPPyc8sgSEAgkW rXvRkOhe4rH8+UOgiySaiyBBmFlfFuuas/98+Mvawdbb2qKGMzb2BjrhJHvnAWOpB+YYP+4CeyFA Rw/a1XSYgyN+0XOLtBBSqkVjb7tZiSkfZXIYwPm7kyY7CL+QzmBKBJXod8dTkMEOdPczmPgx8oa+ qQYDzQbdk2uzqXP4oFobWGD64WqZmatZXLUfATUYFjx9J/gITozOj2+lnPctETPrQU7cxiE+GMsg jyqwPHZX1ZJqsYOprS5J/L2EfV2z2htC5Lcg+pSgJU+cWLrocAuCSicWew6msBRNcltOQfw7niWX xs2y+lrMdN4Ll7Q47Czyx6hEl23o861YV932Y8Fj9f63rkq1YRXB7FLtJEd0xHOtQ68bJ0K7lAsK eTurjgpRiEn6hLJjgWJWoOqDSAFh/c0kr60gvWEIwogIjl9r7f2upx5hOnCYiQ80cFoMrUotSFT/ 44PRPnzWE8M85ojmB39JrUGzqyMDR8mBbk2dItew1FtTyqUeF0kaMh8a/w6dijiripGpGQIyPlfR ZUi+nW39bj4iTZEKJVHProsJzl1FrVLAgISLIDjG1xV8Q5sDAOM5dFmBKKgOEf6kB9GknhctlOJW +apu31NbICWD7evs5PsarWFFzB21z2ycpOExfMxrgKOMscKZXvcGdlzbgqtWWJ3ayf/tETltPamt LiEG3+0rW4LNE1THxzcw1RGMGAVPds14/74LhfIOxnBELcaEftEeoVRgHbOPWg4+O4DkU3Bc4pp5 DQd7JTVrn8NgFRsNbUrjg3xdwUO3o9hJr2OFmi17of240RfyWAxyMz74ZuKQBVte6YdB6UwYuezZ uQw6DHotFcNO5nzAAlAncYBwVjJcPKSE1SR/L8o4HFVu4ffC+tbfan8d1VvPcFiZkP/66+GgQMx0 ic3hdzc4pHmtsudTE0ULL9Gq0lOApOsDGRhJk1j8d4ES13nwWUBOL2iA85XC3dLgLmwZoBuXDttR zxAkvySGWLQJRb/JZta5VPH1On9pd2MtsMjzpEOLZRMAn94+bzGJzjA1BZqYx+EmYJhpdZ+tz9YP rIuiXqsHpYhlZbCDuBxkRTLRt14YqflDUOY/gggHJhzSd9gNCW7fV5+K75uIKvn5YWTJLNKDJTrv m9671aw8ktLYu6sjqVEY30aiBSe+P32PyitvERHO/T4aWRjUEgNh5QHBY2QPrdK623QaLqXl+jYe 1saqYyhNKrH2EiCSvI5Lm6SsmVJgS5nFeNYgqccabITXVc/+Vv8bDUDR47EI3dHt/+FuXHlVdykk X+gnFiqsOeTYcjcogWq+CC9LydO3LYl3oZn2oQjD/06MkoGeJ4SApP5LzukPv+PcuAMk+zY9p9dk WrYkIIIXEtnXnWFX1erWn86OE5prwJ49gFXLfzkEdlqIrosdnbZFMZIKgte+NlsSZSbEER1IwwDr tDmqgkmddgPfDzz7L6/VfvcEJaYpTKeqIibZixWxoGWtxpuqi8LNiEXQmiNpdj5VDrl9jX7aiVwk rAEQAvxRu8V90RUtyMSFSELSGTq06drot2y/XyOFeGFlaRN7phIxdde7I4/XdoE9iWObf8RA2d/b WC2QojmZG9NxmyeVQgKHminSA6+oULAmyvhfZ81RqqVBKsmuamIwFFOeAytFFplrxezcUmEv0iRH BUsmv9Af+imp+XHZSlBNd1QbIfTwlfi6p4CKP94i+j2P+DMWQ7wPm5xXBq5+rH6nyM1C+7tmwpUk 1NV9Kt6cyQZWKa8dwCZgrdRSK0vLEWP3nWSrtBSqdkxrble3OjgXck4wFh1seT2BL5ag2a+5Zf6O zOv7O/kSnpTGQtUw1KHRgMQG6hPHCVeZjyo78x8Q0Zhe99NYCMVBUITJ3e21nt6uFZo17TZQelid H6xtLqISrdoRLyQeasQDsoGRr01YnD8OJmjIC1dOgjSm5I4u1JKG0dZjD3PtdIdf54TZHwTLUhk0 TxnuB+/0NHkHF1M5hfeZoVLBbBPe8h4rCjJjrax3YNFF4+DvNsGnhLrtTWkgZz7vsxh04El/KFmA GcwDxzEzee/0AX9RcDdAZWQQrxIKtb90rh2etnGDmOwgpK+gWs0702aaxMN72OIKIg5C2xyyXcqx aNgO0CuvfqaRYyhUaD0YE9WevDJOrGcT+0c6kH6pi0ZCph2WtN4/ZzOAPpBj64/lQSITA5EBMFgt 0F4L8zuoaEgElFK57Z9o8TVnNc+l4Y0UTF79UENOfNUFNYiaQ+CXIdF2pcbxOfDdApZT/C89YN2V E6BMG+YvGOdls8FWLp04QznVDJzMY3+paL9SJAFKFjt7WI2L5Oe2SZLy6tmuJ7vr5Q5CrmXSNYLY 6XKqxe+sF0b2+Y6hI/KpD82GOQglHJmoCXzgyeDP6MsFL7C+fcioNnYXdg0XKPVCLO6R0pBl/9aw h7GHi16c2q46jdwJGBibwkQLCK08f1dINU5eqGpXWiGiBSmW2SOstimFEwyKi/K8QFYu7PV4zqm5 mNj1DLDlCDYc/9tw7ho49n/WV4UrwWXHmivZgkq+rRk9wmnvO3YENzVKzOMGzeiY3LRQ2zU757pg A37cMQOQun4is2Rr/lDFG9fT9ZS34QoKgN/YfAiuxjvqo1MG86TqjHkphBUOWT7OVJcV5G87dQLH RhHrCMBAPEpOs0yBVMp9Tt1TGnV2yHUgl+CuiNHFYMe95Yl0ZSuClhrfSuUOAp7U6zj/g9OizqMo a2uXpOK1s+qInwxScpsHYKsOyZq7tu4ZXWFBN81+xYCNdKCdrqU/npJzjEwx4W/00AvC511BCkX+ b26Bh2ND0+OuXALPx0y1ajhkYkD8pFVGH2kW1FIa9l8dJf9wAzqeLZrzn+JPkFG1iod6QRboTWEO 9mPDOqbskwSqbPjjw8oU9f6yNSJsvZZq4edAgEOh1K1vWcdccjh/vlbnLDP/EuvucL1hr7HeagxT jfWvnW0i141S4lcTRC5cjhh1EBaddXusUdNAQcwWm649AyBjBzuRc1J77WLfbXBY68NuykovQYnh lg3ZjB5CSyBgSnTYe12slstzLRNSrevM9ebqH0E+ZUmytuTorQ05OFDy+EJiuiBNFNBVB534EIgW KlcCyA1J85sHuz6f8hmPYjYGpOrXLYZluVNZxqr7bB52r5wJyeJaRU53sxfTIkOU426YFuoyaQwG 5ld+M7Fon6B1nw3GFun38m/nSbwTXMwtlbM4ZJHazt02Q6DXF2NMSUlchYicNEma2rWSim37nkcp 2G4BkTUE+bQCzhGyPaS05tvELVJvyFO6lqDugQU3PYKM/gHoLVvOD2+jtk9cWrLS3XaKSE5wI9wh yg0Ws1MgMcmKtOVw0oCWwYxgPR6hqJo4aeamGf5SowmLlDgwjcZrTeKqsIWl588QMYBG26ll45Q+ 8caA3+tkVVq+mnh05DydhWO7x44Y/n09dohPSF22/1lhtNqobmaYPI9P/A7kHT34hxvPPHqzP3Ck MIMp9Qi9US+rgynOTpJEPcWiFaMRjEi5ywHPT5dKJ/it0o8ysMjZfv4g5sUIXDlENAuJlIc1I24w No4IrvNH0sM8LJPEBmSmd9HMjMosmrdAI7X+I9u+KmCtWPuMR6fG6eDUbYXMMbCz/PsmzhcdeIgg ZAyERsdn5AoPN/v+fE7rrtuf1nE7oWOALgu6Sbb8Q0wWowaUxDrrGI+rE2xZmAc+1CHOrxPRa/Zc eG4Z27FESq9EGspU1DUWMsqgMBnQknhZVyRwIchOodMx2dvOMn1yyeWI5Sf3uDdibbS2bOW3UXK9 woMl5Wr7JsjlEvLmeJT/szvBaSRnCSsGUIIQQ8UzKKZhF2ydmS8IPkhYqa8HEFJjmF9o4oVTJK01 ucBj5qTq2WY5Xx7bTG2nbG9ZWipzfiJHXM2JjGuewbN8gonEpjNaZrpjgX787cVNQMUHI2LM9FxV hw6HDLVXWT4ecWeIoOFEyCD57hUwh5OA7K46Ulx4XJjVKgKRmxctqFGlUaXeJM0P3Nz3cqAX5gG7 FGvQJ7wTcyXry8a3YM5ANthFUawM2uVNdIIAZmtEB6JWQR2xNluqk4aGyVuz8vvJTYaaYHlL/9m4 DdVOc4PrRz/lp/TnBy9gQGSGr57tn0MDW+/GCalKMnZM+siPN8H6Ka27wkyhW8SuAKGSTM7RKujd cWKPqH5Ere7T8lsGf4PuMpy0kAG3fLQZZHyWpWWV8Wml3v/MgNgrkXfP8PCLW5LNl8elnr6Egfb5 VzKrCLRf8KPqg4oF7B1dPfz+NH3XPmzyZPcrFjmQuuJXcCc6y9BU5aEwG7qRS/BOQqpq8KuQPYjW +Tg1OvaeW7TkfxZeJuCdX0g2EgLlefcuBXzmRevvmCeMaP4MX7m9k2/MN9iKyctQ891pEVeMchsO 2aV9R2+QQfF9Nx5gS3lwt9JUk//RI3YfSr4iDjol21I+j9V9xXuMXSjLhbAZCd5N0B4VLpIqbxGq 42eaJu68efMZzrbZOuVtDEI2aVGgfTj+YdlRc1la2r7ITcSFPofHM1Us7SXrXvPomT0RaTSd9a0C NWBKfFxBiVWCQ6Oxquqs5FwwzN6Lmu+Qz90OriIVexB2Nk15/mqls2o5cg3TcqPRfNyULGLObJsv Do+Us/sQOz+EcQoCjTtsE65HglBJdYYcH5t67ElAoeu0mNu3ixOnOqctFxKM7PqiHLHZSIBFymG4 l6mhQa6e8lJITR6UK1xr0sQTocKpmEkJsS0bvhOGqvpDCx37KB+IFR0k1Fapj9A+SvnjpIT5HQEh RYMMS9HJZ8FXs+OB8MqQPRt/W0w9u+8HE8nRDDadluLbSl1a95Cj11uu7zcNZCmeek3sTh8K1iSb wHc6wX8Lhw4mbWGCxjUt9blNiH3wnAVNRIO42wTEn/MNL7yaNJUq4zquM+gEx33q46ejsZ4i0J2c PpHuzk2nqfMnDx9lYPhiwvNbDcsD+2WWw89QQmVtIQwZtmaZtc6cErtc99RpaCzBI0mGAiZ1atlh +EZ3OHWL+Cv1ORwDem/4+Q4OuaE5VutNdm+g1IXhGqymYNs/O/G0FqKZAYUa5zWnLKM7A9vLHOYl HgokTN7HsfyKU/MOZfH0iBo895nNGAeHzmy+Vz5iBAr8ysH/nLgdHjXbDc3ge0ufJ2IcBPYlBjgW ZWTWpuZyP9aRKYO0R9vKdEiAusxJNtdCv0WsgvuuJrpZSJX3Vl3gcRCPJCdmGwYTuiluk2wXs+ke /LQ4uTBWKsbrmGpU+CxaJBKIFs6yy233ifQ1cCJi4kmNtLP3yGur94JrYIkufzKh+cqAR6EBaUW8 VYYb84YqWB1UQpdaBXwqeShJkzCcCDOpurXjUdDtxsKTTtOhcfkx9qNW0R14zag5cXjupz8XsxcC ngNCxVIV8c8l251COpowiZKQOcgtnteh6syqZrTfutFZ7KyqhpJPo1enn69CfFBWVRb5ETnxrZGs q+SNYZwnAGirvH/0loGh/O6L9f4HXSdiwYQi0aBltGur0blbZGBVtKujXU85rEO1E6RxkggBxy8G KCy+OsUZEwXnk+d4ivCrvdbNRnQjo+Qs4gSPbTctBCbJfE6J4Cq9iMuHk7KVBDqNXJh7lEKgOOnD ESyCfoaygDuZ3UlSGHtlzZXHRhHDVzpbuNGKMHJY7L/oCjMqZg+87FZyaHBKqtl8oFREVwOe79So BBuY6t0kVPXhlnSBVoiXU2afCgSKtG77gISCs7hEnip6UfdnZzFby4NhatTLa6++JUq+1qt7UQRj dTTsgc6VSRJbxR8DLqjsz71kSJLx4fZPBX465TW1CLcYbLyMcniZaYmzsyvrmxs27aRH0KILhbEf nt5GnK02ZuodbplZ5FU9GNXrwzRZ9LXnbxevN7fOY1BJzyFGBcTVrPPXrjckSaclr2L6G0wKs8Ht 9ykZQEBl6r1FtiVQQ7SLoQHyjWsyT6WeTZd9Lu0puJ/mrqDdGMnMAqBg1ZvDeyQxoz6MH9LlgHcL suxjcLS8RgbIqKg8iCSd+GWUUi4e+PsbRN1oGOzksP/iO1pIRBgccbeaFXuktQHckvnlIavVgYl9 mFKLyZ891N93owYOewQY9palmBMLJzzsniu6ID9oYoc7L9g7U+57uYmctgNHQVbyg6h+zpTDhek3 8r1yRU4B6maocwU4y8IkouANtxskcvolElbdfOZAGbSxs+RJY5uefGV/WXMq8WO6BXzAVVPkxI/T OnjdlR68sJ8r+pElaCVJ6OEdSFT0mkkdAAT//vx3bMMixIuwgbJKlg2wCN/m2CUUgUaGqkhkCkoc BaV82UyC5mKiuqc6HQu1dSRSGN3Ik8idmFpk7dicGqLPQ67++Y/YQmAVoyfifU+k/OFWgrUEeOLZ d6vXw2g6FDOhsHKZDOByJ+qyAUu0qGPqyZ0EbQioxL6s3X1iHHMuuavwYc4dp/RXbeD/OUFamZgC ckqs9yJwqzXUQlJy3b/ZYwF2bAqMW8OovEg3AUaY0eLMyUKTaQkJS6385fHujzbBuO4FscgYqXdb lJ76npQKIHPurYnrqwHTl/p99Hd1+QJFApjKlk3Gmijn3zR5C8DRRDAVlzK6fOFOTYYWDrysSlkD BgLmTC8MFjOMTsLpa/CyjRC+opmkRi11XrYMOZtobhAhW7nMr6WTorxizXzY6k7tyQtZVWU4gIlb dXDHE/LJKJBNkVOYbjRfXzBuEk/eqLv1QZ3Xxi8ZPQYr71ZpzeHHBU0IxIFD5UcYLPQ+NyLZQE9J Cgy6wJsvj8qP6yqwKOSCOH/hQ0LoVZKwHGS3X4WnZb29ycX6ccdffcUth6z9ut9C3/4oAtojctgj if9MppD3IkVK62vBSwgjSSxCqC5M79KPK3+MD/pXv8U28ARb66Xs/iaMx2I8GOTJ3Gs+lmk0mX/I 0LkZg/p9gnD9t7SuVy7GZMj6owRClr/wAF71Q4+72aiVWpUmXjBVLZApLv0eQBNm7eJM8tFTdvjw BW1/xlCe7d5XI7kwi6oYgrtvWd6yLF0NYA5y+coHAw9pS7hJYOYkes46FVjOzoloXyDHS2Ltx3pc ioKrtwNbLV+ADftMGjd2Y7kXDWky85flFif28IIR52SmhirZWhFvo9YcplrmO8dL6vIL1rvvCRBd 5Yta+wmkIQwSyirT97mkkJkLRSw7hy0/9GXQdlKote0J4Gd0vpLZXddxA0MEdnMAF83nAAiMEUUw 8bwc3nrMx0htuSobZ4NvtjsygLYklYuqoVQvbYcDvu4PBfbTGr9Q8HTAU2zWj6mHqLU95c+EMQxn WWTIaG+G9+lJi9y82W/ZXN4VkxMzMfLAhRdlwbTwU3LMWBGfdmwAYc25xdcrCIsfjNLjj1+lVUAT maUy9ttCDLjauZJPlbnehpN3ZiuzIBZRBXbVUHKyCKbtfvvzkgLjcYMhBQxwIT7Yemha0qfGiIve kITS2I5CAzbhIiXPmPiikMKC6VutAVfWlMB8SOTSNKX9zC593+FauCtUqFU1tJDE0MAhWKsAEq4y /tTVI59tUSsb11F0wfV5UNG1vJFVLDul2VmrZtF1kZ9bmK/iUOwpPyF22MEcs9mDgmVawhZA8xF7 dfZ8EXN1EtjHgkVJdmduuIh+Uy2xh+oWsltuycdqN+3bajhFiiiEPMolO5+2YuHMJr7FG4+VpMN9 l2J8db+6wNZICBZ/n0JmhLIPuTEl+OGSNFjk8IpPf35XJrtfd0/MTZKBwRSV7pbwlT9tZ7xQYuvF BcozPcFPFsjESDs791CeyOeUv7NRomYenzRPE3edm2dcB3jgbB55QdHElt6a1OIYHEtr1H+JznyJ zvH/oasrpsWUOyprn4I0YXpRo63kMsIsp62apgpZQo9+9IBcStmoeFcksmBbXtcgANLcThOoslfR DEbm4t/XEypuidgoxYf/HQRvZCwnC+a4mIHMA15H+fZubdasSqbRsGiKNnIhIpLWx7ETVL3o5W+L sYgzeMo/CEK66LhpQpJzoOuJJ2ar+PMbUqe1heKpo2/sc2D13XgEHDsRFLVdCXQW0m6P7BSLHt26 6p6zg0MLSQK9J4ozcHvMnp2aJRmnbgpEZ0u1qsWr88k3JelwjNSw7KGDSylfaMPYz9nBwe24/HYr YlBYHzPHbNjYKogR6FSi3IZMvpmWNscbNr5UtiTaz0JaOMuRJUQdKAP8n0PvP002AtPMzJCQfxuY zZsxJ6SqKvvVbvz1t5jyRgOlpsVisnnF/aKA6PdIc58zosir98a5ZzbDxeRvbb4DYQkVl/eAm660 FhYpnKqKpa1S3/g5UkSmdvtinX0xiEkPMkMT0x39cUPn9vVcZjiNCTRGczMbN96Lx3byWhuK2QA8 rpjellWLcF/aq+FiqgktP35McJxNGSLN512SGyavL0T8DSnpA/augY7KrIulX8Ou/UBMsZYf2u0F /DRc52NuaTViMyXCFnBcZPS9AsRSh6BAZnwGgj1LXGlWasYqQ1c/D7ox5i/S5m3a18G1ochjLgf4 RQ+B0IM547QYPO9lsuTAws0eisqrIWNkxKc3Fk7MkkRH0HCHeBgLIqd5YVaWZQ+QDJW0mpFymouL OIvjeouHVecBiafc0XMJN0tSWl5UeliA0k6d2uN5ut5wbWcPRoMbByMvo30H1o+chdPtAfZaAG7Y zRm3eS2CrFECA6noIqIQIP6ZuxqEn4Ogp2SCjUXTRvWJTtfYZcFEZiQRpfCKFvGot/fmgozi48AE E8V6b/sJcR7ez3sYd66WVRu/9J3prEWQ12cdlE+dlgT97uNdnEeBbS1ErK1fP4L9IIKGWk88cR0S w/fFXTJ/hNcNllUrJCtxoSKLl5N+H9eOUDnuHUtNkczpbe6AoPZgM7svWFak23IZ/gkqlle58wQ9 GBulxrarMOOrkfBfNUYOTfnwY1IWNXBekSukcQvGUnMDjVLNiVQeftjB8Z35giVk2C51g1u+86BD n/+Rj/SQM9K2ZQ2MAwAjJ49BrUsnyirdt7v3/tZdMiyC0GltDeE+99T05PKs6va5nFH2Z54qycdl xUWy66kHwgWHFG4IrbPVEMyC5zzLdVAd140VWFTd2t2JVkwJ/hybBAql6y1O06Cmybjy8AtmQNHk MzxgElWAKci6Lzbx1PZ94glmBcoAOWve1jXr809s3sl1O0qGQ4VR4doKHl5LhvwQr5rRxxOxlaLs qLP9bCT2jEe6QK3vOEIdwfeZWwv2mhJz5J9EEhSyucgi5dwUXxXv9FfZ7/eQqL9xJ6uQPM4LT3yo vDup9OARLsjsS0lqo0WDq96FPnuDHQyMwNVuI+bL+IYK44rgnPnCCx+FZ3mPMqk73T/hEC3dF30s IMKTUz5pdMh1/qCGbRv4QWsqfYhuXh19J6fliGZUDuImgN/1pcDWUYgckFSXnq0xFrGa6sCLXE6E dSLcIcQSmWlgs0LeKs1HGRxXOW69uvTj6xz8HM/pYPfQVt/kl/qUm746Lzf9+cY7rCQAQww22dU8 HkJlTKHkbIvz1m2HJyQfAWzC1ZY5+RC9KbBKCNnokb3qj2vFVhWYHNsMlxiIFKGSVYMWKzt4d91j efPm1M+H4YepfHnRofl4lZ6OKv9cCQUNyvHt9nq8VVgQovb7TvjnqHNOjCZRaUA2mUD4cpsSlD13 7zOTSD4py0EU85Xx2mlew5Af2jrP4XWSwdNnW/xn7DqyjP9LFGaojQ8aqlhVGEfy/6vB52fR2NrB wuALNOAxPH0AxPVRQQCW4f+wSPjNFqu2TT2+qzcyUymHEBCrTOeKJ/ETZngcYN8+W76zOvVo00Bu aPC2Wfc2mODf+aep0jSGFpUzY2ea9pCE6pzfHEDz6K2QnFBx5AgWG2UqNyVuIL8JtQacivk6OnsW Z2ZdWAoDTMq44ZD34Qua6UyoykowuncSfEJD9mAxH4CpGCZxiXOHe0jaXyaCs3jCFGGJHHISduO8 qgOAGDUNrK44VJweLNfLM5Utz98RmjX1IxHcg9m019RPFRSHEAu9i8n01xrAMy7xdQBp4SdRZYU3 DDpxwT2YcHKbwdskURxGKw5fdIxCHGhOIWIvIq2GC9hBiEakeQ/h6Hlo1VLQH7T2H5l4vez4HXZZ BbGqpv8OyVPozDVs+1r53El/b75OjiV09ntpESqWK2Rj835VZ2wKrfmOKao2aAOdXnGGm57Tt2Ry 7m7VlKW7hoSBQ6KL/bvkZfmC3gFj0yM3Z5/c2WDloaUkRBgKv6zU7Jk5cpXiJHzS1NT5jVxgnIXA oS4wN8OZyP0QAo6HFtuKsaJ5dpA/VaDCbl1gTxC5EO1d1LnccWFKN8cddWDgk2VRZFSV6EDuk6ze ssmMFqVOYLH9DmFdGQ3JEvOqFXXbRMCCvC0/xTZ/G8qC3odK/Pz5B9iwE9/1JWIfXEQvXvlzcJZE YgJ3FCwE52d+OCSRaoHfvFHooY5ITydfuA9AsLRDvi0Hm7/jyklB83gKGfvuIb3+r9MQcne9o4Sz dT7dhHyCrUbY6IOdewaDYRb0UKXSTCN5xMQlfoWBsl7YeAf/xF9gVFPHtGsW/8c3hyGf0cLXyysX /GfLsuhpGAL8/U/k+zSnX3/2UCNlBE6kyEMywi3zwcYdezmlsKWlhU0sR3g3W5wytaIWVeevt7u/ /4PE3UulcSjsU3FSspkSVhknMtGj/i/XoJwEZ4ZAFgoschovEmZJGv/t6MYgkV6BGUNAm1CIv+sL /rOjeGIVgfpVRBTeKXxKg9i9C6wBA8+/UwR/Bm6QVJjzgnNaOnuXwi2cdWylyDO0HZ0+yUtcfqzg d5eVPM9wS9JBo1JXYbFn8KE5W0aDAy7xbRy2eArE6OY7410gtm8EbDkK+5W0NDUOJeIGtf3e2kXH uNFJHPX/K+sSozmo5U3QpdFEEGa8nxix01pZ+9N9P8v6RbN+Uk4aGlHBKD4KoBVuD7TT0jj6VlL+ DaGQRJ0UHBRZ1OjfvCmKkRC/ZRH5KYi3VUMD2hgP968aW0hL401KIUmkXE6scOwX/Jcw3od4s/T8 kYCIPU12in5AJmBVoS8JBCMM5wIdhf9zLhpv4FLACWc5CZhjmtXKFueNajFTGQQZVmOJIvYKjeaZ WqkojijZmIUN7soBYLFKHbZcv3siqNqUoXYwSzhN/RZeqqGLWcxVbSTFhplVsypv8wwVt85sAhPl Q/x3hQzcaxiRCJi4C8cbvkZgMsb/ZZONU1v2x4xBTDlXrIRarlkqS1gROOY+aeDjIkEVsjpxxFG4 jTOLOrzOHenBtcew5wInXPHnLVJMKIyYRaeWNfPVMzl+dfGJ7+EEQtUQ5VCYjaxwoZt4Ofv+llaN wf2vO0JhtptGLMWsQScHczINj+qcz3Td9gaIDS7KCOgvl32+/MEGhK9ZaE3/wb9QxT/CMxZKZ/QU PFayyIJ6iisxPbJAs2md8kKPqOuiwaGUuin7IEAUohSZYLkQYgx8mctLoEiWCOfTvNtvvsnfZkOp KRotGU9+Y/vaiU74Oa659hzOSD5wxmqq8TjtbOnH+aZfyq9w1D/l3DOkx8SkkZSi1eSv2jQLOrP1 YxmqO0T7d1CvOmxaia51xdGtDXmJb94K5TbaO4p2U/pO2G/F/2W3t4Ajs0Gn7gPbhrFnKlgXA1rQ oZMHdNuUrbsP/KJKfeIXiOXfq8XqvqfIVzNDMiQRV/NGx/Wl6JMcp5xUyhs7ajHaS1a0Rp4bp9uc UpPFwA8EEnn9P/QffD7nn0GPDMTSRFKGgzPED3w+/I9CbeMgvsTocBzVsOV+fD6BjvKmSONE6Zp+ 3FbetbILicaB6fevzH9/YeyDgiPGmaHS3+QuLsA3OGnn7poyXiTAp1wyuss/dk3yBiQgWCbByVOU TMyafiGkMi8re2iHwDB9TYkpYIOExoAaFlhddU1kKxuLRBOHUHoaBKpf7J0rwOdN3vgTnpzVLaAo 1suPotti81cjf5mOxAa05vAI5FVFtBntnmQi0Rq80wxo+D7v1NogIKkNjpJ4LO7vHkevnI5/ZvBz kkulR+tywnTzagY5+i99eWY7Rax2zcp/Ui3on6aRkAuqgqY66DtTxV8tZ6LT3qs3a0bxhmJNkzSX J0mSki7We/nqm1uKM/16NTZlk0HqWfbgnt5am5OPANzG/l1k8Zvd5my67k4dp00Tkq/IgQ82oAZ/ jh1o6XtjvPZe1mIdgFNE9xIC2x0ECPioFvLcXmZlerMLbAr+I4b0M21O5eGTHLz49n56PPexyFbj 5XvtfOlvY5AYsq2uWU4l+A05e4hJVaE9etOyjfoJNofJSqW50DG6722QAhGq1JTXlG/n1RKCziRN W5M2e84UvZFWPhShWkTRcbNoUrRGSdxmf7Rj4sNKzAewm5bwpeN9pvzBkIxmSCOzkjEBfhnmoead Uw+Kvpfv0XeZkFX4k1JhuqbMHA2bljsPe8gUpJAezlPgFhoSiG8H/dnVx6xyokUasJ/qeER+7fXE vjacmZ2WfTxSg65gFubHhlCLhOl7xShr3M13JnPxDOxGBJNfZKKctnWK4hOsz4ZxzB+NBhHVk3X7 e6OFcy6VEyWAQGhd4BImYKIgSXZBD8bQgintizx+coT/sLfdAXgOzMT+tkkedTgNtsDpMCe3Mw0O TkDTiiyMf1PK0gCH9CK1t1wzU6yA109ORl3DWMWtzCdZLkT1rvsAHM0u5cMEUTCRPrvwcZ2Yze5Z /TTG/z9G8nUBI8QIBW9q2NaU9SLE+HVG5WRKLjuCvWcWYGZzVWR7oPr0TI1ibd2SfZoyNTiuStUJ yosHw1IvXam3GL3IKoMGbbvX9S5jhXpCBxrZNFSkXYfnoSoj8uDYN08Hf4I7gCeRLVwSP1QJAdfn oUrrWMMuMCrIbl4/swi20RCWRF+IJovDtiJyLnhzGX8LRHENv35uOGoma3UuCdUowhRTR56IqWNZ BABObNw4mfB8eWEd3E+AQA== `protect end_protected
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/fifo_generator_v11_0/ramfifo/reset_blk_ramfifo.vhd
19
38101
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block kNSODHF2BA8phv8L5aZNyOOK56HCcQ5lgKBxF8hcTzwkWRF6WnOKZaH0cAk+oZsvi02J9SlLLySq oKFSyBG2Dw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block df+BuhfNWqGLyuHwX48C4kdWet0FAm6osy35ZO6nvLm9LeYvgiC7d+QWQpEp/leK8jaqvimQleVB qNUNsNTBZzVm+VZnT/+N9fzr+Kn5brl7DACKZQsJ/J0EK++GrIymGQB1+7LWFg6RjvqxHctXSERU pIxXjKUtzcqAwrR0kd8= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block j4klfuw/RrSoDKuTiN/Si4GPF3r+1zWV61wAeT879HAyso4ajbQGVJETjBzL4XBayVtdsViewbVc n3EWjppKn7DU95ziVUsafFQrG5PCVJ8TPZUJisZwRf1u8N8ojLSjd7Gi7vpDvGySyTXx9aoOQ69U XzJmTqPAeaivz/FLFyjHWzMuc078i+06EYa3j0uxrNsDH6/IL5syM3QcJV3812LlPGSBhRN9Wynk J5AcITSvkzy/dqcKICGyxp5ubBr16BEoG7l6F/VEXvTJm/kJnHW75YZ8OAQ3I6icKjHkLZysnDlK KEU2K5X/pkwYnpID2ogdwsEuEQr/xxo42oEmKw== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block AG9C2Ti5ZMi5neBsWpJ1qwXbrUaWpaRO8Qn1fL70JVZk4SiqmPlFkL5Hz8GrFfE4eBlngUFZoung TTZ2IeyMWjxhdHHDVda6+BqJtPiX+FBQnaCzRd4VBLDnB8KUn52eheU5F9XtqqkHq+oJV3U19TRZ Rq+NhUtknFhYrHlVXfM= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block TuUXpu2xk+duDJnZONHfYiEzeCuzIA9y6Ut5Y0LAE72Cfiq+aIEHs4lmSaypPxj5+E8SKfd42Iqd iKQPBy7GWczcAr4hdHMLEortigKfhxQvyiAB00CsQyuj949i0l26Eh+7iirhYh907kSXNLc4JeDy uXkHZzsX9mKBsIZLMO2TtO0R4ECsHQbqo/hSpi0B8kY4ucdqtZfLpEsAJ7G3XH1L+CD4o7on7UAz BPPpoVV+VIZR6heT9EgSZTHhg3uYl38G0Ezv8g8s1cbXnSuowx0B9mx89vkctBzRxFOLnzsFdBr8 DIKQCrHZfdOhrNHz4ZkgOrKjCDpwEkMA4ATVfA== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 26464) `protect data_block OCPU0CjwpVRIw8iUkWHkN6hMl6sOK/wg4415fQiRXIkKYuFNYrsrZgkVL6r1uDg/LR/3tCHoHNuN yQw8SGtfENLA5YZOfo8SXPAA1d1NGQCd6H+9rxLhKbUj5YtSrKSEhCU/F7wHukL+LgL+uN77coZ3 Kp5jwEBJfAKdv1OYfmZLI0d0llxosL45gxzGG8P1jd6oSbuLQH/phRyYwg7o/NoY+XjEHOAIreMi kMBkF0gXTwMCDvBlSpKQOil1Xv/TGW4mVRVEnSTE7pm5QEEfqPWEsMCAt4clyCGjzoLLZUtTx0BS ulp4UBdG3rYzjn2K0DWCNd+su4c469YmJI7lxM2YUTl9/bLr+TyesgJ0g3TN232UgbNS4PZzcOd/ +NcRqHoIVZFdJTVuVqCPFYZoFYnpH1Y55qXHVlqGHiL42n3k6CVGvz9kYLpS3jxIs31qzMSLeLc2 TeHh/fBzIvn9/qkuyLTCIFeMOwliy4c4YWFSPv8balzqmoxEz0WtWiMkkD/jNXx7/gklP80r+ixo 9GMmosND/t6P61T05XEWrR6uiJVXFWu7XMKpECM/wU+09UMipJ25bx33DndM6v4pjYQCZvxFhznn 5ZVxAlwCgkVX3Uw51Dbtpj2T0D65TfDr6R0lsc+baH/KFHn/JONfb4+9iYshTd5yT9LsdTB/pHmp 8o8/04jYC7UKFJreHkN9Ov2qvW7eBOfiZRyQGusOmnBwUGp0pJW6qEhYW65gLDL4v9uFgeo8IpGv iZr2wcUD221g1a/wNYWnKz1IC7IrcZjfC+GsDOEHOYOLrY/O5rtErjzvUfpMUC98Wnlf4oaIfEtJ 7ZHZiD1qQspZMVrDKJGGu6fU6ruMMKt14yW61CqQwaTrpvoF16ohzbHITmFhJGKTwLz4Ssy0EPbo k1qtTzStM98suDOcLJ36N8lkUb7LCJuoZ+DoqaA8XIkAYHUufrLLz29JAP7Ta/7fvBtAy1Fw45un 1edNM6fVSbmV4eFki7fnWOAeursoQCbsH5/sN3N7Kpzui0oXDzxbqiWdSV3eujUrEkaXlEsESAXN l0ZlLNDn19jY1kzXaBqaLTPHxW+Q3qYfH1todZuHX2Bx3wxICoUE+L/2exoFAyQlbkvcgCxSkwzq 36nZEySiFnQ7WHPHqoePI/roGWkQrGVZcDQjUeYHG4c5TwsKAcctCgsuoJsrvIUejnncDqAiLN4K ueOU4Eztne2SBAKEHYjD9b0hUzGyIpKviKKuUsXYaJCmlYEEzVlfzfw7hSJSFgJL8SlWuXemHhyG j2FmnBHskwGyJKKR6GhjEhul9+6nTbqIiKfUJuUWBGQW9ahlmROPax0XOuT0QQKi0PrH3PQLHmhu 32EVX4BxVqYNg2o6+uagL2U1px/W3tDw/N5pAFm3rHvsqoN2cIkVgXHuM6fyKlx7rnET1669Vr4U TGtq8EAPueZVOzen7iP1zJpXtpBEKn4hqdaiv1DzGfXi4IDnnbcFczeITOP2EWKA3S0HOz3MTnvW iJU7y+l5aqkSxKjxPOAi00oUflDRneRsgSyG71bNCEjriLLgrjhw2lpBIU3fITWwLotGhn1whblE WdUBSdjD9/COZNdwuqo2Z+23v8cieP+KN6xhONoZA2KgvW2sWyTIExjjpW5wajYXYgsr7y2swQ+6 cJhklaJcAqg1A/9oi5BMW9HQUmGtsJjwzJppM3OYbWgUZv85VuKKO8i/br4xMBsoxtuQMDpnPN/p DbRKuCJ/VUdKHnQXOBROpPjoziiku2dOmP8uZkfa400J7XLOmt5w60pUse95Q5gyNrbLa8FFPMJM qZEdGzjAEeUt58hdeXJaaVPOfOvPsaavo7uhk6yxuBrAJ4CLthksIyCyMKlAk4UvBq8t199BN18F xX8caP7Qjb5LinlLhvs32/i2MqCcLJ6aZUcfNkbVfA3d7ZMbuOICvZ1UWhboDRXMm+aw5JPO+wt4 vtixYkLErMzPIdiW6edkYZY0+90kPsyy2f6L8zriIlbM/ZO2yxGh8gUma3M7qOTfsgiXI7v/KuyP se5ugQuQB6sarFOGyDThfc0OPH4RT0RDWrjYse1L2guw6Ve2zWzqXah0yfrqusZIsLWQAZINIeK8 c4lB2CJ8xRUVQStQm7YZjtv9NXrDaoo5oJgGC7pO4gbTFvoC6H8toIh4S+tm+43aHDiXgNIT4Pzk jASPpbq3lnJXYdq1J/YH0+R29+z/PeZ7SRea2SILid4IGcdaW/NM5yl5e7wn353StY0XpzwkoXoz cGOpv+Q5gSLiu48qxPGA6zarnkZtJtOTTUMP5GtBygcL7GoMX7zl13wNWMRkmZLUenrRZXR7zi5T S9KbFtksua7HMsH+AvXbjV8tcMwZIwClRJrbN8pUPmxj7UfZ/U2hAX5g2AVABZIpGz0HsNy9n6jW W7zNUUm6THLT1IUj+BDQL041o0wqBRiErGb3lg5zCzkhRKpiXRf0iRlWMH22O25L+m9hlHMxKj/I nl4XPTQVHO02Q5pHfwP2pre4XqvFuv8bo+QTiEePG35opq7wlDWTAenh5i6REqsAnU4EpWxKKWtP PJYos/kJV3xbeubo8BaUW0iKmL5u1iMJZ3qhcjmfzwyE1NMjcZ6G/uAU8lB03HF3A7ndKFd+v3Sf 3T0/ru+2bSGnGsRvprXTDOoN/xUj2jzCt0XDAtu/nZUGIif/vF2GhsHPCcuZDiGPuPmnsr9C3rMU x3Yn8dyH05sxcI3MvgT+LooAnPE9BiDy5rFKe7Fvw+Nnq5oIaU7QT0delIOw8bg0hzxiTdNA6gJY pMCpMXCCObFpZXotuvVkeM620uISU5zCY9dymb+DbNqcPl0ZZK9U89Dd+t5dQ7lI0OKA9iFV1i5v PrCi7quyw1QD7pLfCAeaQptNNlvAb3B7VxW0kCyBGqW9ExGqmNYScbhEOVCbYC8hzIEw1nlkSit7 M2qMqx2mnJaYijOhsBcWlrGzYP3gn8SouDIa95O38N6618gb+RlrAS9V/pxQ8sTWYYom/k0El/Ze ubCCIBpGP4WCTD/v5GXo68E/FHpp7rdXeBbVFssYti1GaBoPjMpw2rqNzNETZgoUf7VeNUAua6JO +0geh3o3Z2GRg3UEo2QO/Cqn2gfWST+oI5vva9GAl/TCOfLqtzdCjQWGqTFFbBTLFrA/xvq7xIGy g71CTdF4Xu1KGTCXy/hjUELs4Efc+CCelhFRSKP564mpLasayqhqBOj8bGc8attrCj+U5womKeOp Av9TdBosRE2zacohrmge1hHjmSbT9dCHSb1R7vQcO7FSFtphvwODpbfTr9JfWTwJEdxtbFrp52nM CatbEFeWXhMAtZPv8sIx+UmCaWPK1JY4g4c0Hg2Et3M4j+DIR8pSrOxCaGblPwL+GYA8h1lS2+JB poPgRzTAiyZs28FzAfuJ3MIrx+A0SioB9WH+sbyOqx/sVyTEwWjtitEFEm18E4XTLKTggmbLbv/N nU+cLyNsNcoYo9H1VjYGSvO2wQGCJ7x7Tpfsafq/VTUdFFCGnwI7dZ37ZDv+DqlGCDAHCBuuajHr tnl4oQUC9BMx5bg0zf/sb+6Cbjd8P9fL7evVMhM2g3EaXfY6aMpsZ4hqmfQxqNOu4b9pzk/4GCM8 BKBziejlXZoQc1s7WiOfShaLY41gjDg3pH482n+Aw3Pa1QDDlayF5LZvh7Q9x8UDbAXuJHzftuyu tdp6Jld+2rwJzdiiLbhg2Lay3pQ3ettx9+lg2QAug7GVsWAXmHRt6cs8AbiHf6PlnXjMVC8ow3Ey eZ2wh0M648iawTtNiKCqUs0k9VudVQzuypJfDQZH00Q3lSCe9u7miD6Gy7WNyxya3mfWD3G2/SW1 Hrn2jsCYUf1wb7vZUmeOFZ6kSz7V42YLQuOsBItcpxYnV3PSpZw3e3daIdwZtXC84HNi00A1O3Ei Z0EvltQKFblraPUNa2V36+CUfHOMxvP1rt7mcMq930basf9i685Gz9qxF6WuXtWNEfAQhL9jGHt5 VWEniUs3yOecd30NwCPRxFOIl3EE2wei/Tu+z3M/T1jU/vkwOU4LRxDLUgCq9OhTNZPAdBtyBZAb ftGhG1LIlRlnXumSU4mOtBKE8nmI1Duuf1KmG52C83MyF7axg/wxBaUvmT8rr+TbjCoRkk0jigoN EsbFZnHB0IWAkQOGY5zj+kbRMOQcUg5hNdXcaDvrYphmYhx7NMbWg34LNfdCP4opyJjCToK/24Fv CaCcITto5OZnsrwyG4aWDXvWdHSNYLqxhRskAMKcF1mi+YnzJUTY+N5bxkDcHzQl4uDXHlklYE49 YWj9zwas3E3sDG+HaqL8ha4ACzXTrwymUs7J0+F0PgBH3I5a8uWqMuQkIv0mGmNZlyqUq97P5f6R 5+cYn+0sSNnQWqves1ltQ/czaNGklpx3xbdUiW7pig0Ss4cJwWvvfwcaSdzBUydTjBcaKTk8zJyy Ni3/735saghuYazGGJpQknFpnilE7TakAVBqJbclR9wgVtX6JU2umbbZO1qUOBwOBd97YWWckVCz cuzKVJMBHEqmQaNI4mtX//OPk428+SzGrPkISYbMrXOZKPyynHW8OJz6iO3YgAy/F25t9Isky1sY Yvs8So4oTY23eTXFa+pTlRe1XIhOe01Z0p4WGeS8ucQukp8akjr8JroSjg9WcQaC4UA7MylFwaYD UUyy/WXA/EXnimHjpThP52Ln+l+pp1QLAyWovf0zGcrBhrAZCUw3iaAlbx5nmi/FbMtfQ+KwsxkK imOp1Zs/jaMp8tzkSa6jBfqnjMbH2+7vwpk4LS+vKo1+SbS4bWB3lEg9+HOqFenzy7ZCnZmCD09W wNQG1Oqv7ore8Fv62sKlbOClt3Bwi54i1VFY4SPqu9MDm+FUbZ2YRA6U+zhtyPGbqBMdIXHKL64p jSmZcgAXlpB6iK2ZGbcZvHpyX4nYN/0H4G7gf5rgD8AQnZVa3pY3yrQgvDCWN3x67+E/9niIca2v Exq5nCgDS/n+uvMtkDkbivxRQ+C5GFPzERSicWx0sV+mtv1CKcg4DJxBueFcKn0EA4jriADVsUsA zgBB9YS01tfDCK1ShbvO9yRZN7DL7DHeDxBlhYu1fhtFoc2pzlkAIhcbTOa3+kOaMXUffeBj8rv2 jOOwOkD1CyWGQHboR13B9TYDzPZRkC45C03QZMBgpzGyANZRwKYlQY19qMkjTYnUw+S4ps8tqxDo ZgcBmG15a6GSS2X5O3eXZiF/mRDIgYX3VPUhsAgHN3DyWmWL1o59oPDLEFCVy2VxnDitpKN+UfgW nHqErdrouzlsxNdujYxThv3ZbQbZwpzuFHJ2wIB6rHvTOjY4I9T5NmrPKdDdKnVIa0hSrrxqwVJ5 VahlHWp+YaiJDVLgumqJ7g0fyTt8cagNapY7kGqMGupi1nSw/FgbZG5uBtYZXsA+mlwOv0/X5igE wKzO0qmH1YrAKVsDtg+EblBxoYfeOgMkehAxd1R7OQ1YEc0mdeC/XVJnZ6y6tgVglJarx5HadEoM oS3ywYUvQleBj1HZhx/3nWpvVggPtxNYDoXbOUGBHo538OOzUpPtUX+tmHXye3IkdbpqadFc1jXj 9r419Xf6BRBkQSCOVtV08qknGuWauoOcUNEWfz8RG6VZXNTTcfJ4yL3o4w0CWAZ0OJfrLNMZPGvG 4nBgkvvzvzQQon0diVQE7/cNW5y+QNMC8PdkuQgc5MGrRkVPmNmnV6nUsNPGQsbv1VUB1wu7MYid 9NItg5b5NMGIMLKd0P/KrRuH63LLr/jIGQX72sFEZPQ2JZxJEUuhD1fzYTUxwoikIo3N2EpuymdI HSBfLeLeAPOqMHkv9wOCNPw7jud2eF3l5ki5SD4Yf9JHQCu9tDf4uvtVmX/CrFZezrVovqRZ1qXu +mdk9+fTrOQT5oJa/2xteHx0Rj/PS6S04jiTceTh54HneW3Iyaurc2Vww99mhFXAZX6pjUXXVbtx sDYNrZ+k2BPM3/wkVMO+YUIj6FQCrDpyuc00SQVequdCZNJrUUaiu/4oxM21kV54ffGQTseCm7GS Sii09bNFlVloV5i1QQE+3wrNMi09ROXJco8VpfqLNg2FMgQxniYTdG8jAHVals4eapbGfBmFiDGm 079aAfNLANO191hjMrIirl/4xpTJo48Yi9iTwnUMkF8VJx4yihI4y7B8Utl8YnPk7GtmhzhDPf3A Ubah7/udL1yrGBzCcoRcOnKgHaO4dAyzom7cucUDMUVFJExi+zKFZtub8PlU2okFaU0Tp8yaRUAw HLw9CEwPi7UsUdFp9DNqFcjE0io/7GRrXhE1110ziRVewsBII8Jw6GkXaNzUtFGheEuhQYD/t8Oc fVI/KpA2MF2H1ClgL1FGAuTZFiOLJkOmsAeJQMhk55vrocPwMvEFMRtOWVOObwsT0l0XmAGTJOpL yBF4GBo6BpVVw5iEYBNH4fmaiy4Qq4GCx/SKGzwuI4A5kMCze0vWm6t3CtpT7GG/uYPqE2PDQo8D hVXz52j10eBYL6HN1Xvz3Mhs8OVd4ayqpNa+Is65rFjqA6NWFZ8+Dj59TXuTr0KIbrlaQakHOEK9 SHkNRafl3RKKMOmRxDhZmjLfT9J+dCI/fV3dSHY7QWHLbAxu2vDDXdXsJHSURp/GAcUHyBj2LgRv HJEiHEAVqbQeGx6ktWgMfJ5wgQ2oYDX6mbUJGuUGSNfqN/3Ic6I6NCydEDlYcP2u5xOFekqCCY2M OKWWOvIz9SCobcZC0ydQ8PZUOK+PSzobIQNhsUZ9Bcl+Jdjr30SI4gSdXSBkWNH+DGKyceqx1IjA xwhz4VIhlfwK9L12HTbdRoAUkw6H7GaaccbEt1glco9s3fM+zVfK1MdW7F7JcqG28zGApTr1Mz+B jXCJ11EFfYTfllU0mt+pNOJwzdlISfvsdQaCfUFvfxtCdEcckUCe3tQxCOnefmrLAcs1NIIyRxdv vJslfeFK5iIN5dze0qfaTi3JLv38xdBimoK/dpLDpJdZF7lhpSKghwXCs6tx9gL6XBwPrx76TKHR DfQhTEHLaDW7GdZDWjrDkP0Y50CboNm1uDnkSj9EZdibyBYa+OQwfUfrYbmtgDLUjQ6gxPKZMT5A /ugE1zJlUR82oRtfwoFt4+9RGOjRZZPBVgG0Kwu1DnX+0mCeVWwBEwb9dTY+HevVSlnGEi2ea/JE DSEmm63Nl6+cO7Sg8FcqzewI8OAhNxwPPEhh/D88abH0sioUFbYTJm2lZnTOcNUSwFn0inzceySt zqnlrhOchg/WF62my201UglazwPXLuOOJVTPELuEDHgjSosCMTK+XBBJ7v3pOmvvb8Q3ZmUkVT7V yxGCkFFKxNJ3GEkELeTDQnEXbcCAj+rSUZbDqvYD8PVqSlHt86L2M1yK234/wkh03xkNjVzXJcTT ssUKooGuJgXvrTNy7ja+Tud6yNmEdeaOFLPuP/gC0GqvYghp4q76KyVuO9qS/fNs/x1tc7oY1j68 h6XInGC1XShVMbKDhAdEdnNlIP4E6UdI/bNY/inytVyaYbwzFsrZqKh6gFm9Sc9CJFekgw/YkkQ9 7ILFOb75pDmIDY1aiJzyof+H0oAFksAD4aLsz1ABiJTfubHxUlYgIhUj6pWGafCK+srTEWBeN01c DXD73bcWd6XLK2SBiHqLivPrwO2rm7aBb0+AgmlAYlllk9FByY89VNfNjUb5mJLb+rMqRRWCfhGw j+qNWvIKprzU2NkxWjg/D4boHUWV0mmQ9p/P4defnu4JCz8k+dX1OYaOxW3qUtqu0oxMx7ePEGja o5z6PXI78on8KW50iWLGfzPajGrPysnwNAuug1brfztXiboBVsxc15OKeqW/9lh9J6OA4RHlNDlo pIybBBsU+pNoHS/8NTHsWJ30O0T/g0hVYFZO5pMRzDUs1BD3U4r87ixHAEfEWg+ehOhE0ISU2lMl gMgmb4zfnWpouI2V5zkvjaEO7FBX+69irv7x9Nv1scdWcxYHOj16dHloo48gWwrUpwcIuzehHhmo k6+7zKR1N2PpN0hJQ4TqV/BTb1vmEBOUtAmDGR+qQTM0mYuMeepbOnZd+smK+Fz3kOf5AJ8Qm3bh IW6pjWxiNqQ6Nl9fpVTS+Z8HWsxMRRO0RrNMn6SJID+0RmeRmTTkbqQlLX+2kXJvQ/tKl9SKU/Sy hGCyte+Z4OWdAjKicyb8ugc+5PDy7b2fs60rYec6ohy28b3L7ssmI0E81MtmcW2SDOQwxTvLQZkT fSezn8IyUKJvkj8iUYz7I+Nz2Wl9VwskrqGRQH/cpN1kg4DyB2LViZikEBo5/Xj7PB+icISMlGbY Ea54kO5Louosla6N1fnll1KeN3LG9DnOnhxF/LrTz02s41wRpDsSWO4HiZldLxDbTWXnH0nY1bva 5Wuu2yqdDO/ixAmsSXPTJChuAkNMy28d37qH8oQifv9nmoTzVsZ1S2sBmqoZJy6ztk+81pRUHI6v m5l6IL0H7CokxokToY/w0GujB8w4nQ5SJQVIKLVQAZqSJ7edFWtfDP7nwTfk88+6nFXZQe37Zs6c ZrgWCgI/wbR8YgXyXmsqgxOz1mg0W0oeQdEl9o/EzsuQ08RMvx2kga6zCCqVFR5WxGa08wreylnx S0c6GyGfyZS9wQF0UFpCQTTKtblDQA/tVJOex3LKO8D1ewBhDYjXPJ5NyItMAHeOUhyqqN3EVNsX I71WUbeAZXyCl4mVQP+MLRCwYSE8ndrzOCFZofEhNFWfHE4tjO50oX6KUyu9omVnOKPn8lEnu6oh GTLeEyd7YTFCWrFsy/ovtx4d80dGYkF734sCFfD5g3Pl9WvaGTpdaoHV/Ud1Uya/WSz8LEB0G6K7 Qwy0sNLkvkCBiugVydInRRQPhBSwb3Geh8TLCF9pBDDpLC9vIAuot373BEN3MqSFr62IyDt2/X8M o2tm0Gi2DJt42ucAh96bpPvetBc2XKKKRY3noLSwbENc4BZnrUkOWUKApDe/yT4Lw0HezjsrPJv5 XY+UinPk2+cqkOSesYudcS65qgX+tU9V9p5OnlZ0zvpIvVt7vIF/LLT7PaoWYPUkcNzW1bL07wui e2wE9gWFHZcG6mP1PQaL9OIout1VsrsCNE0kTm3eE2R8+n6w2fydCIWbNM9XLRaYcERANrQCEIyB gwsAh8YuL4V3HIvf9Y0bUT3Coxy2NHRcyS/i8FrhtypKTAQG2ynctNJLYzlETWnKC4G4zhie3td2 9hYKtjHK/mfHdzewB9I2DZsxPGG/D+aw+ASqn7jLn3/u9v1EhhmlZS1531EessRgU5mYeiOMj1tg oELkOzPUeCRi7aeu/lQpXLDjCA9ZpBAx2zwsClqMyOyqHG0IJIxO3lQ64trLi7ZBiutv8HxPg9Pg /49VyYoc9U2J2+o+WdXwDihWz27stjkZDFWXXcc/tlKkWrNjvCvNqpp2HxBpoRer64I6oaDLJWSC YRcB871Xe8vZS28ae6OvOhDw35RvIVx8K8CxzyliY1ATNNADlgnJSCII07UR0ifxIh1JRDMuY1mT V0GO1gCAkfbNRj08p2T2CXTH7d1vihz7ud2oEtijH3B/pL7izkxIQVKgiU2ulnACN4EMoCVn/IBg tzqaL0PWlrJlmDXZJV7Gcs/fylKpl31UPHE6KFWBwPrOtAF5KSNM6CqRfgkHaVwlaMdcnTT6R4Z0 Cr84U0ZD1fDmkrIZfkr9BuRnfrltD32xK5JzjpaX6pk1BSJrp9kb7ddOzvvoXEatge4Z+oBffUV0 L9mOvmqp4kSIRNt007Yggi9CiwYFJYzzYgN59jy7A2El/gUe8rc+RDLRsSUUCgyFrju8mav7UlVb cWHneCGqOl9YJ0HTQKWDk1vMJknVIQWz1Xpqr6YXBjFkKjO/p1yPpazN0tbMG+TKWoenLKBX4Woh jzJApqMylR6mva1pjRaghwrKow5kp5m1nkaGUx65rCMXRn1PlwEwtmhmJr2AiJGoFIfesHI54qnP PKkvHaXfPNK4JsEC+iqE2aK3duoE4QOzdBPwC8DEPJgaj1ASWHiJCHZwT/MRUFd+unmr8ileWVq1 C6ZBWKSK0IInY4bCxTeU9lQd6/eBWKPqn2IVpm1d0MgCxK6hARmvwWTBTpO2rsXj5pQyQZjrZ79k 1IoPZYS70qU8kaAVM9pZpKH6yiHrl2fSSdnNkCRoLIpK6JAQREBdk9oHL5n8wSYLnJNjfT00Qxu+ V1+nrxR0ac7044THDESdCAQ7Nbo/dJ18Odi+3JAw67njNVd0K9e56oWln4mHrGoN8mPj/ag+LEGI 5d8rMAiT+q46JCzFVC22SzO/tANwszVB5dUG5Sm5GM7/h8MrWe5itrzvlHPApWs1dNOOxI0Re1B6 QvNaIav1exmUu2GSXy99ZT9LUqY++e4v9MyCFhebBjIQgTw8tCT05ZgVjViJqvgG1HH59PN0UIW+ bElexjKTJUa978smqlRrSLYeNAkiDlLD747XTgMb1kacSaknD3ZOs6PiubVVH3IEcERKNxZqdxSO bNljXQwarbk3zqPe/JqAdo2IM07lEWTadPbDdLFRlmztbBgyakzllD2eFdeLVT+fPho3EC/7l7di cfRHTzF3Q/bfhZNDwG5jq1OrDSxqZseY1zwEvGzZQy19cvmmTna0IiuxM7eeIpglxd/pxS8UdVoZ KlpaEeziI1M5qf1LCI6ctc6Op0zEeLcRnmBXuHxGMnYprfYhJJrhm7B0a20Bp4OlFqszXiwYaUsL UiVu16p/h9bQpHk2SIJPX+zmjig8k1inEoOgO6Uhyt+2Iv5A8Kqr4Vpf3rwEN2h1/BO9sMzgthpq huJMwWc20tHBPEfDDYmYt3nT1tEypmZBo1qb/H8+1dGqHTp5o/0QI6piIQuy9QGph2sR8YdRSrzT BT8Il8f4JLkys55ITobn6yE1Nk8mOaJzDInx7pR6YqYPc0iJPW33EQgI/yRPQe/un0nCSzd2nlhX o4w2mELGYJR4liZ6xrUGoqKcdw+Op2j63d4ibC/hbK1ro8JAX+poql5R9KWeJKx7tCQghfoK92n8 Pip/M+DRG8ClJehVtCXQQnEny/+ul/PVGo1qto3Zj50peaDUS29FyodgZBMnzMRmyaTC9JC5dKA1 Grh11BpTSSSdk3gyBAtLnjXwa35xW4YAj2bBD9F6MJS3NyYsh80DpexZi5iNIgaiFJ0fXrvu05z6 U/Lt86iD24rWR51hQfdQhwP5cya7dwLU9VHiqwa4br7CeYVYANRUe55M57lQgRzD8mJILWg/bX/4 FZG3p/A0YJPDgbyHijL6Tk3AdFemkSlXuNH3qFzPKifiS45ke6f1aT8qxTQlAGkaUGRG8Pm23pln R6h1DpSaRjO3ue0bh9Ce4kO+MVIVqgxpRjuZTfkmF0SS40sg5nCRxm23yHNiJ9IvwpFNEgDuGbPg TBdJCQ8r7BOXe5+IcYw0zkJR5Lz0VZyPWI+6AGEXRPSSz3WWKURNtwNDy6LWH6d6Jhx6RiQDVfTk RkjEpzjoUnEZXG50ZaAFt+lVKN6ZWK7r3OTImgre4zWhGHROyfyIdvr3TCOCx9Yy4H+seTc+wzK2 VQMLMLwO6BwZJFScpBIzOsk+PJJ/s+fTAXoeYVNl6tk7asv1Hwo0hqk2IDZcSi/g5CShFMOdj7Qm O5EfLZ2dqnZ+bDflgftymw5+3SGdjan19BwxupAfj8PJJ9cJy9OXY33QpZ4YWbJOYkBlpLbfU+ni xXH65MJweN6JqI/FiIHMmxT4vcO8Xfp5hMJ0s2gqz+TDWwQR2jIfzb8TE/v+WH746nr//1+X2wy8 UKa7vwBaakxRIm4qPmN7tjv0FR+ajHRcRUDs86vfP5ZrP2r+wHc7PqmstLVOLVD34BQD+wG+6QLl m7aU41BCB6+iBuONG/AGKqsDfBqHrS52EaN2AeKLrPdRh+UOGZwPpRoHdBGKVSBxBf59uGPgZ9vA BNFId/ERG6+0A2yEXMkkjaHeQ8Ux9KfccW3rRM5tGcdVjPV7sU/J0ShnrOL9m4Nyw5kzqi677t5d JJfP2VlY8OVKGpOIUwOfqht3LHs5cTzrcz6+2GvWXnLcKVpjZ3zwDR7C3X+y6wq+044a0rjfuOxW eXSixsCGiGcA1Li3mEdr654EyVYobZXF7VQLUxurQ6Ga5WBLhWkPM/Q5rh01gwJfnC6Uw2uGic8z u65Ku25o3NjoDieqEZQBlI2fUqHmrXNRaAF2wjxz/psrrqdMHizKU5B81S+43xvRd6oZq9xFxM1S 2yHk+zfM2/5DrWqpzvZ7oFICkWs11ooa76QhS5qXC05fMerLSqaLWMQaZddAVXFClw2+Txqk4sbj +vMefG6fa+sU4GVsvsOdYKa7wPbzS27SiW8t7njeVaeCJ5K6lWL6I3Wo63qmEjMgSeVjPhkt5epF Hn5aw7vSPO+mQB3fLEI4rhl9lVfnI/1RRO+qe1/oQB2jVnLAB0wlJWn62TyNDZbDZslxo1ONjFoD g5XxPoDtAmhIdLMkgbJFc9UKz3Wg48L+kwYqDe/+ZksNSTX98y7ImVvSgSutjuBb3L3B5OL0VHYE VOItLkmql/Sv8sY0m47MqdVXba2G1LwGRTN5QAkG4G6x0yQh2sLCmRTf4d1oZPmiWJFxfoZU0ByQ pGpBaV0lqLA+poX7GngxONmS1nWuIasRRdpydCycEJ+bZl/mElk5n+WZA9n3Psnqz7/2sW25WcY5 0nl3cZqxQ3ocLYK1RcCMHb59M1zeLTofW6x6OiWoP/kThIg4PoNEoU5CAYleLDgexELkF2JfOL4b a8tZkkvBIbZvUcEdzBnz6cyBO+k61YakaJN5I5yQfXXH3DOxzoaz60tNEeWZD3iRrq8xky18CrLZ 2h220O7+kPLlUiImZnSszTMHqxi02yjWhz0Mw+BOxcE7Vc5+596gn0MHahfZbWwtbm0113GTPGKc t1U5ncWNdXqfYWdnss62PBu/2bHlTB7UQy+RNGVfbNruFboTNsYD4VBYZBNdo+WO6yHg2UyZBeUX g2bYqWEcAsNq5g37MVMwyd8P6Y+YjRlVmAn7oH57WrTu9+Wui9etQk2wvEthoqVS16Ni5u66jjCC sZRbFlkY5DAfM5L0rfB7pJokQ9v22lq1EnEM5ANECNN7jBnuJjsOTsvhCciYZ1NVxrBW/3ia5Bfq iu3nqf3FnlbC0d18kBJUIiefEgAs3Ye755Tdqmx7sygQVF8RMArrDjEZMEKQIjRhKziSRWlzfAFT iYShHgG8+Lpnd5a/rlTwCV5iPLqulbNoxGRC+44ZWs1297GZjKVOEWve87CX5C3BhOHLzHdI1YuD VngVbQW7RwBxR4MC7oWPxxMT+Gj+Dy7CqXQbq4S209IZoCE3P9yC94FJbVp/IbJ9HGwU4SW6y5Hi 9Y6U7AkBN9gjgAALZD4Z+SQIQdDcC/r6QmDFBO3QedVpXkUrmnm4XGVmbGVZuBh4A1dexgCrIOUR 5IpGtx1ZIqhXKbw5ffgoQGI4ppPmGGfLG1S4JkWy92jAuow1D+7Vouu2kww53ZaPZ/c4EqdNqb7C DNiqoMlXEkrpGSl5DE0rbIXHPJQpEjyLX+EFgcQ/ePo8X+9z0V+qofZsLpK4sMSJORCCrOoF07t6 wlK+2aDSji4inWciTmQ73tY8cf9OVcRiHBf8zMeQXnPyXDjUgwr6edNI3dOggzcD0lDXuo6b8v37 LUuvDWOhbcYcXjTN7e6JZuwunXJlPQOQeKk17iCqpzgEetqdZZSIup3vi3YzljNrorT49vK9tDiS +1O8MRyR78jwO/soNBLsKcGqshfu+dPHbnqzq/MwkcdcYK+4TYK4rsz6WIyDLf8aUj9kSguRPbOX tORJLvilqpdUisLgCRni7i7tSJHLnbz+CIYO/qFOJ8G88Gp4s8kUIFdVtFzgBgCzqMVyLUo48+Pg GKbCNRmGCHoPnv4W2BSE7Unaqnd2otjIx2FMRWnPIhULIbJVCjjZlcUXOcnfYqd1Xb7uS5ubfaJL YLACEjlYmjAZeyywhwCJkijdaJbx114FvAbd86wB6c+20JtLFqAHNl7vZ7W1KuU4hr42fYFxUGt7 LQWv+DYRkRaZu2Fm1/DezvpfLAFNpLUF9B3FwQ70NQaaX0KsLImVcpmLTVUCPuQFaTTtjq7xynpn NAOgflUj4vMq+jJWAhEGJ/6OJfKg0ZTTUWRm1eABwH1PgHp3qLdUCxVFrrfVlt36JABPQjrnL8f2 DItF/7au475MARlW4LeXT/4VQwzG3aqctOL4nA2tajo6cfOy/19jNGzWr/+2WzshEBsuapAm2mON O4Qcd/hLMVpy8LezLdbWaN1XNhBXwgoZltKA7JQdJiSd4xsz1OpxGm9HmLesnf1ekwKJ8nDy+KEC Kr9F2XSXM5M/vnoyhFIGYhXSznIP/T1JruGMGoaZeUL8TyT+OGGZ2ySGFdAL6G9UiJ9CM+3WW8m/ RkH56TPgRAU4P2dQjXx9e4uW4dTsSYYrRoGsnAVqx0vEDK/5MSwbMKL9SDiTMgpgZ1gxFDJjkE6K eniRGEnPgK5W8cfXLg6VBsfNcDPBvF6TpSscsuHz5n9DrLjxfolIsbMmKDmHXcLWo6XhZ4RP50zD Z/nBo6LBA/sKjVWC13Fs2bLY6g23YcBCdGVkOBMg9Iq9u3L962PkV0JJN9ZAmbInxk88rIPk3Usv e67A/gStbs4hQ1uOUx40z3I/wJKfxd+o4ao9rHjOSw4FubfjMb6SrnVW6Xb03MhfXjpUsdBwt2Nm 47oWcShB4dS+0RgPM2R6AE1DHRfcSrItIZpV/AA7Q+5THb+K2lSSAR6vlYhoUeRaPAVNd4glYvm5 sO2ug8Pbsi0RBpOSCGqhWpAmUzI4rsVl494dY+y4ba6lQlJW3mWlLXPHxMOU2xDLOrS7bv0KtJ1H g3x1k2CavDoa8Ypg/3xqWWadowO1XN66klf4dQEtNf9L0fL770hTFVCb+ugSL+raKIB8K0AZgtrx VxhiWijHPSC0pPC1x51uIUjG0cWMwkWeGRfbRTJ8haztkArR+649ziP5WpNuqv6TEdxsO6gjCS/O 9uW069hYF0YuQMWjMxUV6lnx0KtRhg78t+vJubVf4gMMxg0TAamgQ7pAtMhhMlQDYlDDojO+1jUQ J3WEgVMO/pbyXGu3LyU4cvdIAD1KK1vF073er77SV0iE7ztNmxh7TRpX/00mSKRrY5iXOM/V5IYZ tMXTYcV8+3XvBtLES756BAgEpiTWiPS9G0oCg5gHSRBey82wRGHYOT9HwGo8GT12CYLPSMsBr07y 1W0Iwff4UxhSkt4mq8UCqzWIJ7qDaih7FAlaQg9eMErI3wcFUFKb9cWkzIGztGHV79QxPQ5HPD4E oVR3DA22lLFqFxOdNZpJVoDHsrTelf8ghl55hTVTH83xExAFTkxs8KXxL7hFBsd+sJMn3/3TNt4c FRDD/bUMfrmVtrxT/TjwlgxWb2OuKSo7r0dPEUw7Sv+NGqynqlAlcm1pUZ3+tLFepdNsXUoQk3Bt O6xXEJf8bW8JV7QcKcLU0QniNs4VJcDxGwReRvzJnO9dQrKwwCsZX3HlwaTQr6gTISBuqshWKyi7 McMFaOTy9U/W4lnlaezzHAS9og3yVAZs9mpt09M3fyMDfBfoy9gZGU/+9wIpBh0F+PXgz+pya8UM YryM1sbWjr2Scx6ISAV1hc4tHn0qxjlCTZ9Rq5wj2xqODjeoKL4K1CIUQFHXCmyzXxteQlDMJYZo O/XNsFMjDEVgwue48Bxv+OjePFhz40Le4Cy9cKD50F3OGcG3u9p5seu8zhThGZvAcLtOu7v4NUyd dpN4iR2xt+rrvgU+IaTIQWoe/RXtV74mP5oLTZ03taVji7zUzj28JmGqdD+/j7H/Rc0oQ/9g/KUZ BnEr/f/GVP7LBn7nHIbbxzuHv7M1bx9XuFQ86k7kKBM4MdBNnbsgjCC5HmGQ9n405Ap3DWbgVoff 1Lzh21/IVJR+RMqiH0X4g1Mlp0vzT6XJ/QapviyJvu4jQJfbtg1sMzx9k9DOC0qa+61kOPy7XAC0 kAY/FWM4A86OvUQmXb49C8Zn2/voITDYOEzFjxYsNlef27aQvWzfaCGFtGCoFG9gYb+TSu3olSoA AIPyu8oKINGsagbjYMbLu6/TW8NoOtXbBj285aKfz6LLg3K0MU3HBbh+9W1CxWCQp0fiPC07RHE9 HbijVo8lWB8t6jptGuoLvkSs0GyVfR2c9T1aebDUHnloEOR7pUGcgFWMvOyqWkinOmgotWZ29bgF ItB/gWttRtPr4iVgZabJeYdSULNMKpVlHf+02Qv+J8P87x7vrhe/u4gg4JtiRcrjii4T2onjgciL B3aRcdXTd9X8Lyy8WcT8vSNJmTWK48DaEQgNcMZybemaZJql1cq3D/xIwZ0nyRRLIqGJ+S+EgfHU nMSelc7qW+5c1QqVu3X6jntg37071f6ssbUw/R3xP9RwWjB/Mjk7j/mrshgnfe0fvAy1mH49b6Kb 1uDJ9pn/tQb46hkxQTswb0dHruTL1acKlmtQRh1oAsY0OlVAaZxpoDpbBwEp63a3n2xmanaGBKl8 zSFZaktojZlX9zpgKqtQgXuyRGd9MDiOaN8LStcpKH8vw/vb1QkA/5YnZK3lRiJpV1MFXbCRCJ6o RxNJq9SNuL674tcDfHr4o+ttVpDaifK5etVgkFkqUQe+KkkIiI2z4J1Hclx5wHqe6uHeUdeuBrqt 4ftJadJbDne/XuDQudk1PmODE0QpfY//hhvTCq70GLdSa6C6U5i+tVXaE9nhklTIlR1mZ3Jih5mH MlR1k/AtxDKi9y6f7eLc/Ww4HH09bR5jeBtdAlF1Yf6Uw/zKTgD6cgOCPIe3xYasP5tjtRX6IIa0 4eC6sSt26CyNnBuocOEKJo/bhykO1iuuoL03v/tZzesTf7B/XH/qeOiKG1HWAIspYWoXFCVV15Qf +QFn01emcUF9PfIVKJRDiCOjnvVscwdIf5gWHdCxWQGYJAFT/r9/I3SMIoqt+eW3/e7mo54zVKZY YubifLfjv8QoV7sdu8KqayiSsgOy8rQ4cler9r7G9ramgFTB2LgoHzrtLpckL4xCvjpNzDcLiwOk lTjll5s2flZZKAEEVMkIt/DTie3+FpFG206XY5Vcgn51S6PT4xCPLfe5Qxz57pbBD7C5vTfruzYg 5bbvQaNDpwWrMRxchl6O7UkH6PM4wV4B88iwp8rwF+XErRx8o2jYzGO43rZwABfDWH+phahHBKng XOIQ5TmNy3S2/q4r+LXL4/lxpHMAl6OnLfKQX0JiPdUaH1daLi49WhUqaoQmCK455yyyZJVosP3s 4rYhiQBGbXSoHyt+f4mwpNXOticf1WO6okc150Psq+0wcGQtp9zL6JTHIprVVkiT+trlrPaYw+rl xenqBpRAS1WDB17dCY5WWLlDlXQ9Tsxvwy7VniJ6nnaY5LrMPLLIi9sfhYnYWhyJK7IhHvgdZ1nO KAG9mBAXkfhsXD3kq15ToGGLZZPfGOIOqRmExj625IgXhzyXKSlwEIlAiXaDDvcWtpVVrLQHzlYT H+oXxZG5uvewNyEOVfd+jd3Q4AOqNlvecTGqZ4EJnJIwBHxfikj8KqLcdYg3+kSZ2NfiylL6ZOeV C6K4kU0V9ErYhgNiQ2IxoR9+brbNeaus4G9nHB453cNNrmoCwAKqvWgvQUz2TPc1sCQbY8oja67s CCCOzr3cNe4TZG5+Itcwx2m00SvsUDDvniv8uliYnuV9LNvqwHs+0Sf9Nxur4OnJ9BPgymdOKGFD jwDxVdaAKtq9U+Qlnmq+xJCFi+YPeArsyO/kK0//IfShuODvk002Q429apy2X0IuwORZb3ac7x9l MWzIK377zyFWmb/MCDOYNq84P5YAd8CDl5OC1Tc82iWV/LtYoSM4UYBh8S1hsL/BxQM6Ilp9zaGL 6CM2FWsmMMhXMlIAgEi6I7cXP/IyKc84GpntJLTZM5b59mWjTtQbGa7E4TKSJ5iW8+AqXC/M9aw1 dET7GlmfjYzgE99dd9wPZEMTDU25gXm1NsP8bw/Ho3fjlLyy6YUe17m2AbgRYCMdmX4mcdVda9++ gNotKgd2YPEG7/zJeNGRWO8ph2Ha3xUic40kcpXR1Qc3NKxVWeuFjaRoTu8mCWJ9P1itO6V4nkno bzJ2eHqz9FhX+TFWh+W05wltS8FuOWP4TVSVAaP+37A6VtpPEnFSaVbCkw77zd62lOP4sFBCCnRH KBytfOVlYtFW6cpVCd5bJdFH8TWBgT1pJcEr8yY2d99mva6ueauAFUHnY/UcOSyX0o69pG1saL4v jAbC9k9LB5Sbjv5Xt+0o2FdL+DPHFixPUowBgmEwzIyIwYnk3Xfm599d9q71Nm/5te7jUr5be7M6 790CaC+XOvfMgQ6u3rRFhNcS4MJaNm4bpnljaI3nMVfOv1p/PrJNaH+NQ72ZGa3WwIDgYoPdwj0S BaW7rVZXO8RQ6NG/gclsRcrjtcGMj16iQ8YIatqlAly10Rp0J7kaGtS+rOfEhtfUqVJeGReBMDFT rd5Bs60hZleNVBMr0QHpGZHVk5nmb2Qa/LifEvh83Qs5RxGInMovTDICVvgz/O7wUNhPmu/g7EmU C10K8WWr5KLm9Ar5MFNVxTi2VByYwlnZTvvwGuQXVyh/ZFZHiHnKa4X2KC253MEel05WEomDNNaa cKD3jj2rlERwbnY6h6bPpyzv8XdpWeaqu68F0bUkzd24tmYixT7RFuYOXCEP4sWJKtDpZ4ZMQazN L5X+zITmne5XpX+b/DJdABeYfZGDhPftQD9N5inMezmrKx2TiiJcYQPJj83ANKezUS4tIs/kVRup 8iHhji74CpChD+jC6EyIFP3qzBb6du5hxV0PSWGd+DW6D8viDihQABASHzt4gFc3d9dIIm4S6eVk ixDlmBwD0Unj9xhNJbcPIX+OpOf3VSbgjz8O/KTyPfJJbvh5ufzkGt45F50kfKQyI7dQn6VTyO7a PP2K5fcZITQW+K8T4qbyqCHtu7SnjCHck864FbT7Omyt0nBLReRmLhFB1NRl2McbdzhIb1zAqIY5 1OHUhhDM9zsLCxfpfQ216AkYHrDqHBQvmTHmmrUQmz+nOlT+QCLo1yE+naccM8a9rmovQwInVHzv pgSR1KK+ZQAi1gmtFcbRkEWtpcbD2EqSGejWo5QmpUnSdwU4rLmLgJhqmiyE6sbfm/bbKjsoNBBi EnM6AWtb6HMTSkrkd3gyRi8+UIcr4dZTQk8RuZW8+xEDknO1gCXTK8XnTOV9jwdYSHrOyESu1wOG LegMU4Q4Ea36aWNjeMF6svg8Drary21FNC2YNpK1KuNpT7c5vbBeb2V6W1RnZAVr/OWiFfaMsY+b 6LSJVo/fbBlFuYT07+LEPZ/l5o53DIWLpUqdhbJHoPITU95gAWRDrOumhu3NknO3pm0EVsZYlagt PA7KFifTwiZ3VCMkYLmC63HRmt3Fb7FeJEHxHQdCEqtBzFBV8E+nDw5lqRVVII2KpmN3lDc8pEH1 aZwq6HRwtomJoMkEFnnbw83Qrd1vsk+PfW+UxksOmkuCL4Y64OJOhrLu45y6q0Aic2UddZqPmgUJ gqfjKka24SeNGp8KZBE+jRuCt35trq2wj4p/1Y5avAklBaB3AmYHRN42LoXDgp+x5FhKzjSK6lVA RD0J//m/ldOLzicJ6OcDBMI7uNPCogWma6LqhUF8itLqnzPhAxNxIa7+Qwx1OcD/tdwBbCSZoboS Md8zqJcjLJdqQ4YTZ7b6i8UPaJx5RdUsqDqV98DI9dumE94xnmUa/oH9MJIALv4OLWav1voktZRy sZfh+bC8veZx/A225g+B7diYkvSFnOT992Ozbb9TyJtnvd43qscfkqDMJgYC+OXWJyRAHkRomcSX hPyoYxnYqdwfcDPrqVpsVXIhSP8nfnG/E38botzkYLNq4pmTbxFBUX2eGFIsbhdiz+Qr9VNU2fy/ qMQ6rNeEOe5ml9JVTh6JuwmPGv7r7re6amo17G4817sJCirbU0tFOnLA8R/BHoihpdsou9z3LISC sWsg8yETvm2DOOLTUP+s8MKxeKJvzsxYgDPHtz/c+nvkInGhHydu27EFVkyw2MW9ZxokPDrovBv5 NfkVMakJl3AJGlpWY9rnBIdc/jor1T7dTjwDnG6AuiMeThCwrhryU5lQTBA0UTOAf5r3ZGh9Y3eK ApJGUFJYFy55pMVnSLGUGpJsb8g0o7TVEZCjF/ZD+AaHYVzH9XVqpfDUYJDgKlD86+NJ+Uu5xd8T B22uE7aIhhwXP00GMxPDVnKqoUXudjuqrVuFT6s9vNgzPuUGQV5gP47ZbcSCpj+BDvvdEvIBbBBv Ptm+DH7m4+zwdh1oEk/AeWtkt5pRTufZ5HgsIWhIBklQvut1lvGR1OH9L94RTPe5a1mH8jfEr58P Ciz/kYwfcUpinsRZ7dxxHKXQgRxBwmcEXpZl55wuX83YMhXyw5R/UVoctDJ7iC66fWPoWfa5h2ZR vQsIyVb7pVukDHSjRkWLBxTRgXtOVMjoHmyuKYWslafo+to2TAjKaBgP6wXpSBOQitGcL61/XsJg KNR7uGVIZP/7puulQ5cCRPUVKNhzXtkOYOoUJgjzNngfaqGrUfrEwY/P/nc5TfqSDwAau+TOMt/F qL/eei7WEu5Icv009BuEuebMYyv9JNCTFg+yhekwEMCeUqc6t3yokAmbAheeHL9MwobKtLnv7x9w 4j57KbASmejQp6cuZ4AOAtnZLHI5o9I948P783AoOdQMRAi9KokdqQ017ORPeV+ZYfvdrllgXpfc SYpPEmis5fQe2b9oKyngiAN97GWtre9kenpZihKbIVfpBkd4ukFKk7hoW8HIkjtH8sDNxJlr67nI GFb9+lrM9b/nv2ydH8mKJnygGZf6SqCluC57lgJa1ySU4lf4NbdUVKvx18N1adQxSTtYUMyNzqL1 +8G4EFdxOp8wyzyxw07I7GZaSD7imE6mW8VQvJMmP4UcpHmOMLIzXrLgML8OwB8F7AbYA5d/C7rK oxnRe/fmE52JcP1uihhNneMbYQG+UjFip3RA9zMqEq8VgMK/Q8ftN3Pzd5FX/FU7ndsjsuMpDHMo Y70pR+aGK9k/dkKDNw2C8OhH975t7gm7Vwf0qmcYxMa/ZPMTbTp4X4aq8IuBHaPSwVHP/RZQaTmC 6qNh5/LgMeqUwWZzfV633Cd3Zp2TM7gYWRQEw6JzovWa5qCW3Nq6QqdZ+sxMyf+f0zFWwO9Wvn0y 4YjkJdN8DRA+1O2MvTCK0+uecI6LxKvy1HPsaHwsNW/jvr0IzkzttgejfXGYZ/te/oKP6Z2CbLpj K8xG0NnCzqP3srFW1lrZP8WniugDggvDATVyrimcXZ9x345EGsRmS/hm58LKlV0uZjpgFxHPzADO wJcWFe6vK6fGV7krtm5CEoIbkdN3woo7kPamszClaQ/K0Jb2QylIoDlWjbHhIu9+llxcijQ4AhuJ Q1ULHlISLNwuuhF0DRJdkFhX65uhrFzRVRCV+DBHZWC/RQezTC7lxhfQ4Y1x6yH5VKqzHhacaTDK GALZfT+ZgClE5H/CI0ND/45z7MNqvgrMy/64kd6Q+i3xZmLNkrYAc0joevN5Zkdg59xYMbVU2Uhw 0BgmBrW9mqWUZ+MuSMh9py9jQmugI5qL1Duugvvk+TqKpID/149XDwRMdi/cbE/8zX9982P6SjJC Vn0XkvfdRmoJ053GYejV+rlP+cjIxz/xcujeAcZZvZrsidIQPRY9dDLvo05WdGioWWZwhEV+Ka5h aZlK7uu8qW2fL6rs0pCXGpve2NatKV2j9MnB+ySM09m70ntsBgfK0/cXkKErf/uUSdHns+1fDl59 9KNTCpyHcm3WtmTlQ8ktO6KBTjefhBSfVmH3kOE2oqKCRjSQacoex29j0wt3tqIxMy4Thtx8krQT d2MZjgrigDjkyEV7YETb7sZUjSECE3KNgtx6t59G0c2HJFJKnSzRMtTwCo/gPpNNRMwOitJu/Tux yPz/UO1IpfffNQxl7LtxwccnOcFqyIulFc9fgsb3yvy0qNCmfzvhs95zWW+/O6zGbj3FC5ilEWbA gwh56xeIsFm46IBnMyIHm+Vy1swn/xxUBRP+xf55EYHAtGuNicHChA4mMgztJWHFSAB57yBzpw1f f/pt5Vxnbk/Fux4+79WW6KpcgmxWz2QHQ5VG9sbyXKl7xz2phS3yoncqStX1ZjTPPyc8sgSEAgkW rXvRkOhe4rH8+UOgiySaiyBBmFlfFuuas/98+Mvawdbb2qKGMzb2BjrhJHvnAWOpB+YYP+4CeyFA Rw/a1XSYgyN+0XOLtBBSqkVjb7tZiSkfZXIYwPm7kyY7CL+QzmBKBJXod8dTkMEOdPczmPgx8oa+ qQYDzQbdk2uzqXP4oFobWGD64WqZmatZXLUfATUYFjx9J/gITozOj2+lnPctETPrQU7cxiE+GMsg jyqwPHZX1ZJqsYOprS5J/L2EfV2z2htC5Lcg+pSgJU+cWLrocAuCSicWew6msBRNcltOQfw7niWX xs2y+lrMdN4Ll7Q47Czyx6hEl23o861YV932Y8Fj9f63rkq1YRXB7FLtJEd0xHOtQ68bJ0K7lAsK eTurjgpRiEn6hLJjgWJWoOqDSAFh/c0kr60gvWEIwogIjl9r7f2upx5hOnCYiQ80cFoMrUotSFT/ 44PRPnzWE8M85ojmB39JrUGzqyMDR8mBbk2dItew1FtTyqUeF0kaMh8a/w6dijiripGpGQIyPlfR ZUi+nW39bj4iTZEKJVHProsJzl1FrVLAgISLIDjG1xV8Q5sDAOM5dFmBKKgOEf6kB9GknhctlOJW +apu31NbICWD7evs5PsarWFFzB21z2ycpOExfMxrgKOMscKZXvcGdlzbgqtWWJ3ayf/tETltPamt LiEG3+0rW4LNE1THxzcw1RGMGAVPds14/74LhfIOxnBELcaEftEeoVRgHbOPWg4+O4DkU3Bc4pp5 DQd7JTVrn8NgFRsNbUrjg3xdwUO3o9hJr2OFmi17of240RfyWAxyMz74ZuKQBVte6YdB6UwYuezZ uQw6DHotFcNO5nzAAlAncYBwVjJcPKSE1SR/L8o4HFVu4ffC+tbfan8d1VvPcFiZkP/66+GgQMx0 ic3hdzc4pHmtsudTE0ULL9Gq0lOApOsDGRhJk1j8d4ES13nwWUBOL2iA85XC3dLgLmwZoBuXDttR zxAkvySGWLQJRb/JZta5VPH1On9pd2MtsMjzpEOLZRMAn94+bzGJzjA1BZqYx+EmYJhpdZ+tz9YP rIuiXqsHpYhlZbCDuBxkRTLRt14YqflDUOY/gggHJhzSd9gNCW7fV5+K75uIKvn5YWTJLNKDJTrv m9671aw8ktLYu6sjqVEY30aiBSe+P32PyitvERHO/T4aWRjUEgNh5QHBY2QPrdK623QaLqXl+jYe 1saqYyhNKrH2EiCSvI5Lm6SsmVJgS5nFeNYgqccabITXVc/+Vv8bDUDR47EI3dHt/+FuXHlVdykk X+gnFiqsOeTYcjcogWq+CC9LydO3LYl3oZn2oQjD/06MkoGeJ4SApP5LzukPv+PcuAMk+zY9p9dk WrYkIIIXEtnXnWFX1erWn86OE5prwJ49gFXLfzkEdlqIrosdnbZFMZIKgte+NlsSZSbEER1IwwDr tDmqgkmddgPfDzz7L6/VfvcEJaYpTKeqIibZixWxoGWtxpuqi8LNiEXQmiNpdj5VDrl9jX7aiVwk rAEQAvxRu8V90RUtyMSFSELSGTq06drot2y/XyOFeGFlaRN7phIxdde7I4/XdoE9iWObf8RA2d/b WC2QojmZG9NxmyeVQgKHminSA6+oULAmyvhfZ81RqqVBKsmuamIwFFOeAytFFplrxezcUmEv0iRH BUsmv9Af+imp+XHZSlBNd1QbIfTwlfi6p4CKP94i+j2P+DMWQ7wPm5xXBq5+rH6nyM1C+7tmwpUk 1NV9Kt6cyQZWKa8dwCZgrdRSK0vLEWP3nWSrtBSqdkxrble3OjgXck4wFh1seT2BL5ag2a+5Zf6O zOv7O/kSnpTGQtUw1KHRgMQG6hPHCVeZjyo78x8Q0Zhe99NYCMVBUITJ3e21nt6uFZo17TZQelid H6xtLqISrdoRLyQeasQDsoGRr01YnD8OJmjIC1dOgjSm5I4u1JKG0dZjD3PtdIdf54TZHwTLUhk0 TxnuB+/0NHkHF1M5hfeZoVLBbBPe8h4rCjJjrax3YNFF4+DvNsGnhLrtTWkgZz7vsxh04El/KFmA GcwDxzEzee/0AX9RcDdAZWQQrxIKtb90rh2etnGDmOwgpK+gWs0702aaxMN72OIKIg5C2xyyXcqx aNgO0CuvfqaRYyhUaD0YE9WevDJOrGcT+0c6kH6pi0ZCph2WtN4/ZzOAPpBj64/lQSITA5EBMFgt 0F4L8zuoaEgElFK57Z9o8TVnNc+l4Y0UTF79UENOfNUFNYiaQ+CXIdF2pcbxOfDdApZT/C89YN2V E6BMG+YvGOdls8FWLp04QznVDJzMY3+paL9SJAFKFjt7WI2L5Oe2SZLy6tmuJ7vr5Q5CrmXSNYLY 6XKqxe+sF0b2+Y6hI/KpD82GOQglHJmoCXzgyeDP6MsFL7C+fcioNnYXdg0XKPVCLO6R0pBl/9aw h7GHi16c2q46jdwJGBibwkQLCK08f1dINU5eqGpXWiGiBSmW2SOstimFEwyKi/K8QFYu7PV4zqm5 mNj1DLDlCDYc/9tw7ho49n/WV4UrwWXHmivZgkq+rRk9wmnvO3YENzVKzOMGzeiY3LRQ2zU757pg A37cMQOQun4is2Rr/lDFG9fT9ZS34QoKgN/YfAiuxjvqo1MG86TqjHkphBUOWT7OVJcV5G87dQLH RhHrCMBAPEpOs0yBVMp9Tt1TGnV2yHUgl+CuiNHFYMe95Yl0ZSuClhrfSuUOAp7U6zj/g9OizqMo a2uXpOK1s+qInwxScpsHYKsOyZq7tu4ZXWFBN81+xYCNdKCdrqU/npJzjEwx4W/00AvC511BCkX+ b26Bh2ND0+OuXALPx0y1ajhkYkD8pFVGH2kW1FIa9l8dJf9wAzqeLZrzn+JPkFG1iod6QRboTWEO 9mPDOqbskwSqbPjjw8oU9f6yNSJsvZZq4edAgEOh1K1vWcdccjh/vlbnLDP/EuvucL1hr7HeagxT jfWvnW0i141S4lcTRC5cjhh1EBaddXusUdNAQcwWm649AyBjBzuRc1J77WLfbXBY68NuykovQYnh lg3ZjB5CSyBgSnTYe12slstzLRNSrevM9ebqH0E+ZUmytuTorQ05OFDy+EJiuiBNFNBVB534EIgW KlcCyA1J85sHuz6f8hmPYjYGpOrXLYZluVNZxqr7bB52r5wJyeJaRU53sxfTIkOU426YFuoyaQwG 5ld+M7Fon6B1nw3GFun38m/nSbwTXMwtlbM4ZJHazt02Q6DXF2NMSUlchYicNEma2rWSim37nkcp 2G4BkTUE+bQCzhGyPaS05tvELVJvyFO6lqDugQU3PYKM/gHoLVvOD2+jtk9cWrLS3XaKSE5wI9wh yg0Ws1MgMcmKtOVw0oCWwYxgPR6hqJo4aeamGf5SowmLlDgwjcZrTeKqsIWl588QMYBG26ll45Q+ 8caA3+tkVVq+mnh05DydhWO7x44Y/n09dohPSF22/1lhtNqobmaYPI9P/A7kHT34hxvPPHqzP3Ck MIMp9Qi9US+rgynOTpJEPcWiFaMRjEi5ywHPT5dKJ/it0o8ysMjZfv4g5sUIXDlENAuJlIc1I24w No4IrvNH0sM8LJPEBmSmd9HMjMosmrdAI7X+I9u+KmCtWPuMR6fG6eDUbYXMMbCz/PsmzhcdeIgg ZAyERsdn5AoPN/v+fE7rrtuf1nE7oWOALgu6Sbb8Q0wWowaUxDrrGI+rE2xZmAc+1CHOrxPRa/Zc eG4Z27FESq9EGspU1DUWMsqgMBnQknhZVyRwIchOodMx2dvOMn1yyeWI5Sf3uDdibbS2bOW3UXK9 woMl5Wr7JsjlEvLmeJT/szvBaSRnCSsGUIIQQ8UzKKZhF2ydmS8IPkhYqa8HEFJjmF9o4oVTJK01 ucBj5qTq2WY5Xx7bTG2nbG9ZWipzfiJHXM2JjGuewbN8gonEpjNaZrpjgX787cVNQMUHI2LM9FxV hw6HDLVXWT4ecWeIoOFEyCD57hUwh5OA7K46Ulx4XJjVKgKRmxctqFGlUaXeJM0P3Nz3cqAX5gG7 FGvQJ7wTcyXry8a3YM5ANthFUawM2uVNdIIAZmtEB6JWQR2xNluqk4aGyVuz8vvJTYaaYHlL/9m4 DdVOc4PrRz/lp/TnBy9gQGSGr57tn0MDW+/GCalKMnZM+siPN8H6Ka27wkyhW8SuAKGSTM7RKujd cWKPqH5Ere7T8lsGf4PuMpy0kAG3fLQZZHyWpWWV8Wml3v/MgNgrkXfP8PCLW5LNl8elnr6Egfb5 VzKrCLRf8KPqg4oF7B1dPfz+NH3XPmzyZPcrFjmQuuJXcCc6y9BU5aEwG7qRS/BOQqpq8KuQPYjW +Tg1OvaeW7TkfxZeJuCdX0g2EgLlefcuBXzmRevvmCeMaP4MX7m9k2/MN9iKyctQ891pEVeMchsO 2aV9R2+QQfF9Nx5gS3lwt9JUk//RI3YfSr4iDjol21I+j9V9xXuMXSjLhbAZCd5N0B4VLpIqbxGq 42eaJu68efMZzrbZOuVtDEI2aVGgfTj+YdlRc1la2r7ITcSFPofHM1Us7SXrXvPomT0RaTSd9a0C NWBKfFxBiVWCQ6Oxquqs5FwwzN6Lmu+Qz90OriIVexB2Nk15/mqls2o5cg3TcqPRfNyULGLObJsv Do+Us/sQOz+EcQoCjTtsE65HglBJdYYcH5t67ElAoeu0mNu3ixOnOqctFxKM7PqiHLHZSIBFymG4 l6mhQa6e8lJITR6UK1xr0sQTocKpmEkJsS0bvhOGqvpDCx37KB+IFR0k1Fapj9A+SvnjpIT5HQEh RYMMS9HJZ8FXs+OB8MqQPRt/W0w9u+8HE8nRDDadluLbSl1a95Cj11uu7zcNZCmeek3sTh8K1iSb wHc6wX8Lhw4mbWGCxjUt9blNiH3wnAVNRIO42wTEn/MNL7yaNJUq4zquM+gEx33q46ejsZ4i0J2c PpHuzk2nqfMnDx9lYPhiwvNbDcsD+2WWw89QQmVtIQwZtmaZtc6cErtc99RpaCzBI0mGAiZ1atlh +EZ3OHWL+Cv1ORwDem/4+Q4OuaE5VutNdm+g1IXhGqymYNs/O/G0FqKZAYUa5zWnLKM7A9vLHOYl HgokTN7HsfyKU/MOZfH0iBo895nNGAeHzmy+Vz5iBAr8ysH/nLgdHjXbDc3ge0ufJ2IcBPYlBjgW ZWTWpuZyP9aRKYO0R9vKdEiAusxJNtdCv0WsgvuuJrpZSJX3Vl3gcRCPJCdmGwYTuiluk2wXs+ke /LQ4uTBWKsbrmGpU+CxaJBKIFs6yy233ifQ1cCJi4kmNtLP3yGur94JrYIkufzKh+cqAR6EBaUW8 VYYb84YqWB1UQpdaBXwqeShJkzCcCDOpurXjUdDtxsKTTtOhcfkx9qNW0R14zag5cXjupz8XsxcC ngNCxVIV8c8l251COpowiZKQOcgtnteh6syqZrTfutFZ7KyqhpJPo1enn69CfFBWVRb5ETnxrZGs q+SNYZwnAGirvH/0loGh/O6L9f4HXSdiwYQi0aBltGur0blbZGBVtKujXU85rEO1E6RxkggBxy8G KCy+OsUZEwXnk+d4ivCrvdbNRnQjo+Qs4gSPbTctBCbJfE6J4Cq9iMuHk7KVBDqNXJh7lEKgOOnD ESyCfoaygDuZ3UlSGHtlzZXHRhHDVzpbuNGKMHJY7L/oCjMqZg+87FZyaHBKqtl8oFREVwOe79So BBuY6t0kVPXhlnSBVoiXU2afCgSKtG77gISCs7hEnip6UfdnZzFby4NhatTLa6++JUq+1qt7UQRj dTTsgc6VSRJbxR8DLqjsz71kSJLx4fZPBX465TW1CLcYbLyMcniZaYmzsyvrmxs27aRH0KILhbEf nt5GnK02ZuodbplZ5FU9GNXrwzRZ9LXnbxevN7fOY1BJzyFGBcTVrPPXrjckSaclr2L6G0wKs8Ht 9ykZQEBl6r1FtiVQQ7SLoQHyjWsyT6WeTZd9Lu0puJ/mrqDdGMnMAqBg1ZvDeyQxoz6MH9LlgHcL suxjcLS8RgbIqKg8iCSd+GWUUi4e+PsbRN1oGOzksP/iO1pIRBgccbeaFXuktQHckvnlIavVgYl9 mFKLyZ891N93owYOewQY9palmBMLJzzsniu6ID9oYoc7L9g7U+57uYmctgNHQVbyg6h+zpTDhek3 8r1yRU4B6maocwU4y8IkouANtxskcvolElbdfOZAGbSxs+RJY5uefGV/WXMq8WO6BXzAVVPkxI/T OnjdlR68sJ8r+pElaCVJ6OEdSFT0mkkdAAT//vx3bMMixIuwgbJKlg2wCN/m2CUUgUaGqkhkCkoc BaV82UyC5mKiuqc6HQu1dSRSGN3Ik8idmFpk7dicGqLPQ67++Y/YQmAVoyfifU+k/OFWgrUEeOLZ d6vXw2g6FDOhsHKZDOByJ+qyAUu0qGPqyZ0EbQioxL6s3X1iHHMuuavwYc4dp/RXbeD/OUFamZgC ckqs9yJwqzXUQlJy3b/ZYwF2bAqMW8OovEg3AUaY0eLMyUKTaQkJS6385fHujzbBuO4FscgYqXdb lJ76npQKIHPurYnrqwHTl/p99Hd1+QJFApjKlk3Gmijn3zR5C8DRRDAVlzK6fOFOTYYWDrysSlkD BgLmTC8MFjOMTsLpa/CyjRC+opmkRi11XrYMOZtobhAhW7nMr6WTorxizXzY6k7tyQtZVWU4gIlb dXDHE/LJKJBNkVOYbjRfXzBuEk/eqLv1QZ3Xxi8ZPQYr71ZpzeHHBU0IxIFD5UcYLPQ+NyLZQE9J Cgy6wJsvj8qP6yqwKOSCOH/hQ0LoVZKwHGS3X4WnZb29ycX6ccdffcUth6z9ut9C3/4oAtojctgj if9MppD3IkVK62vBSwgjSSxCqC5M79KPK3+MD/pXv8U28ARb66Xs/iaMx2I8GOTJ3Gs+lmk0mX/I 0LkZg/p9gnD9t7SuVy7GZMj6owRClr/wAF71Q4+72aiVWpUmXjBVLZApLv0eQBNm7eJM8tFTdvjw BW1/xlCe7d5XI7kwi6oYgrtvWd6yLF0NYA5y+coHAw9pS7hJYOYkes46FVjOzoloXyDHS2Ltx3pc ioKrtwNbLV+ADftMGjd2Y7kXDWky85flFif28IIR52SmhirZWhFvo9YcplrmO8dL6vIL1rvvCRBd 5Yta+wmkIQwSyirT97mkkJkLRSw7hy0/9GXQdlKote0J4Gd0vpLZXddxA0MEdnMAF83nAAiMEUUw 8bwc3nrMx0htuSobZ4NvtjsygLYklYuqoVQvbYcDvu4PBfbTGr9Q8HTAU2zWj6mHqLU95c+EMQxn WWTIaG+G9+lJi9y82W/ZXN4VkxMzMfLAhRdlwbTwU3LMWBGfdmwAYc25xdcrCIsfjNLjj1+lVUAT maUy9ttCDLjauZJPlbnehpN3ZiuzIBZRBXbVUHKyCKbtfvvzkgLjcYMhBQxwIT7Yemha0qfGiIve kITS2I5CAzbhIiXPmPiikMKC6VutAVfWlMB8SOTSNKX9zC593+FauCtUqFU1tJDE0MAhWKsAEq4y /tTVI59tUSsb11F0wfV5UNG1vJFVLDul2VmrZtF1kZ9bmK/iUOwpPyF22MEcs9mDgmVawhZA8xF7 dfZ8EXN1EtjHgkVJdmduuIh+Uy2xh+oWsltuycdqN+3bajhFiiiEPMolO5+2YuHMJr7FG4+VpMN9 l2J8db+6wNZICBZ/n0JmhLIPuTEl+OGSNFjk8IpPf35XJrtfd0/MTZKBwRSV7pbwlT9tZ7xQYuvF BcozPcFPFsjESDs791CeyOeUv7NRomYenzRPE3edm2dcB3jgbB55QdHElt6a1OIYHEtr1H+JznyJ zvH/oasrpsWUOyprn4I0YXpRo63kMsIsp62apgpZQo9+9IBcStmoeFcksmBbXtcgANLcThOoslfR DEbm4t/XEypuidgoxYf/HQRvZCwnC+a4mIHMA15H+fZubdasSqbRsGiKNnIhIpLWx7ETVL3o5W+L sYgzeMo/CEK66LhpQpJzoOuJJ2ar+PMbUqe1heKpo2/sc2D13XgEHDsRFLVdCXQW0m6P7BSLHt26 6p6zg0MLSQK9J4ozcHvMnp2aJRmnbgpEZ0u1qsWr88k3JelwjNSw7KGDSylfaMPYz9nBwe24/HYr YlBYHzPHbNjYKogR6FSi3IZMvpmWNscbNr5UtiTaz0JaOMuRJUQdKAP8n0PvP002AtPMzJCQfxuY zZsxJ6SqKvvVbvz1t5jyRgOlpsVisnnF/aKA6PdIc58zosir98a5ZzbDxeRvbb4DYQkVl/eAm660 FhYpnKqKpa1S3/g5UkSmdvtinX0xiEkPMkMT0x39cUPn9vVcZjiNCTRGczMbN96Lx3byWhuK2QA8 rpjellWLcF/aq+FiqgktP35McJxNGSLN512SGyavL0T8DSnpA/augY7KrIulX8Ou/UBMsZYf2u0F /DRc52NuaTViMyXCFnBcZPS9AsRSh6BAZnwGgj1LXGlWasYqQ1c/D7ox5i/S5m3a18G1ochjLgf4 RQ+B0IM547QYPO9lsuTAws0eisqrIWNkxKc3Fk7MkkRH0HCHeBgLIqd5YVaWZQ+QDJW0mpFymouL OIvjeouHVecBiafc0XMJN0tSWl5UeliA0k6d2uN5ut5wbWcPRoMbByMvo30H1o+chdPtAfZaAG7Y zRm3eS2CrFECA6noIqIQIP6ZuxqEn4Ogp2SCjUXTRvWJTtfYZcFEZiQRpfCKFvGot/fmgozi48AE E8V6b/sJcR7ez3sYd66WVRu/9J3prEWQ12cdlE+dlgT97uNdnEeBbS1ErK1fP4L9IIKGWk88cR0S w/fFXTJ/hNcNllUrJCtxoSKLl5N+H9eOUDnuHUtNkczpbe6AoPZgM7svWFak23IZ/gkqlle58wQ9 GBulxrarMOOrkfBfNUYOTfnwY1IWNXBekSukcQvGUnMDjVLNiVQeftjB8Z35giVk2C51g1u+86BD n/+Rj/SQM9K2ZQ2MAwAjJ49BrUsnyirdt7v3/tZdMiyC0GltDeE+99T05PKs6va5nFH2Z54qycdl xUWy66kHwgWHFG4IrbPVEMyC5zzLdVAd140VWFTd2t2JVkwJ/hybBAql6y1O06Cmybjy8AtmQNHk MzxgElWAKci6Lzbx1PZ94glmBcoAOWve1jXr809s3sl1O0qGQ4VR4doKHl5LhvwQr5rRxxOxlaLs qLP9bCT2jEe6QK3vOEIdwfeZWwv2mhJz5J9EEhSyucgi5dwUXxXv9FfZ7/eQqL9xJ6uQPM4LT3yo vDup9OARLsjsS0lqo0WDq96FPnuDHQyMwNVuI+bL+IYK44rgnPnCCx+FZ3mPMqk73T/hEC3dF30s IMKTUz5pdMh1/qCGbRv4QWsqfYhuXh19J6fliGZUDuImgN/1pcDWUYgckFSXnq0xFrGa6sCLXE6E dSLcIcQSmWlgs0LeKs1HGRxXOW69uvTj6xz8HM/pYPfQVt/kl/qUm746Lzf9+cY7rCQAQww22dU8 HkJlTKHkbIvz1m2HJyQfAWzC1ZY5+RC9KbBKCNnokb3qj2vFVhWYHNsMlxiIFKGSVYMWKzt4d91j efPm1M+H4YepfHnRofl4lZ6OKv9cCQUNyvHt9nq8VVgQovb7TvjnqHNOjCZRaUA2mUD4cpsSlD13 7zOTSD4py0EU85Xx2mlew5Af2jrP4XWSwdNnW/xn7DqyjP9LFGaojQ8aqlhVGEfy/6vB52fR2NrB wuALNOAxPH0AxPVRQQCW4f+wSPjNFqu2TT2+qzcyUymHEBCrTOeKJ/ETZngcYN8+W76zOvVo00Bu aPC2Wfc2mODf+aep0jSGFpUzY2ea9pCE6pzfHEDz6K2QnFBx5AgWG2UqNyVuIL8JtQacivk6OnsW Z2ZdWAoDTMq44ZD34Qua6UyoykowuncSfEJD9mAxH4CpGCZxiXOHe0jaXyaCs3jCFGGJHHISduO8 qgOAGDUNrK44VJweLNfLM5Utz98RmjX1IxHcg9m019RPFRSHEAu9i8n01xrAMy7xdQBp4SdRZYU3 DDpxwT2YcHKbwdskURxGKw5fdIxCHGhOIWIvIq2GC9hBiEakeQ/h6Hlo1VLQH7T2H5l4vez4HXZZ BbGqpv8OyVPozDVs+1r53El/b75OjiV09ntpESqWK2Rj835VZ2wKrfmOKao2aAOdXnGGm57Tt2Ry 7m7VlKW7hoSBQ6KL/bvkZfmC3gFj0yM3Z5/c2WDloaUkRBgKv6zU7Jk5cpXiJHzS1NT5jVxgnIXA oS4wN8OZyP0QAo6HFtuKsaJ5dpA/VaDCbl1gTxC5EO1d1LnccWFKN8cddWDgk2VRZFSV6EDuk6ze ssmMFqVOYLH9DmFdGQ3JEvOqFXXbRMCCvC0/xTZ/G8qC3odK/Pz5B9iwE9/1JWIfXEQvXvlzcJZE YgJ3FCwE52d+OCSRaoHfvFHooY5ITydfuA9AsLRDvi0Hm7/jyklB83gKGfvuIb3+r9MQcne9o4Sz dT7dhHyCrUbY6IOdewaDYRb0UKXSTCN5xMQlfoWBsl7YeAf/xF9gVFPHtGsW/8c3hyGf0cLXyysX /GfLsuhpGAL8/U/k+zSnX3/2UCNlBE6kyEMywi3zwcYdezmlsKWlhU0sR3g3W5wytaIWVeevt7u/ /4PE3UulcSjsU3FSspkSVhknMtGj/i/XoJwEZ4ZAFgoschovEmZJGv/t6MYgkV6BGUNAm1CIv+sL /rOjeGIVgfpVRBTeKXxKg9i9C6wBA8+/UwR/Bm6QVJjzgnNaOnuXwi2cdWylyDO0HZ0+yUtcfqzg d5eVPM9wS9JBo1JXYbFn8KE5W0aDAy7xbRy2eArE6OY7410gtm8EbDkK+5W0NDUOJeIGtf3e2kXH uNFJHPX/K+sSozmo5U3QpdFEEGa8nxix01pZ+9N9P8v6RbN+Uk4aGlHBKD4KoBVuD7TT0jj6VlL+ DaGQRJ0UHBRZ1OjfvCmKkRC/ZRH5KYi3VUMD2hgP968aW0hL401KIUmkXE6scOwX/Jcw3od4s/T8 kYCIPU12in5AJmBVoS8JBCMM5wIdhf9zLhpv4FLACWc5CZhjmtXKFueNajFTGQQZVmOJIvYKjeaZ WqkojijZmIUN7soBYLFKHbZcv3siqNqUoXYwSzhN/RZeqqGLWcxVbSTFhplVsypv8wwVt85sAhPl Q/x3hQzcaxiRCJi4C8cbvkZgMsb/ZZONU1v2x4xBTDlXrIRarlkqS1gROOY+aeDjIkEVsjpxxFG4 jTOLOrzOHenBtcew5wInXPHnLVJMKIyYRaeWNfPVMzl+dfGJ7+EEQtUQ5VCYjaxwoZt4Ofv+llaN wf2vO0JhtptGLMWsQScHczINj+qcz3Td9gaIDS7KCOgvl32+/MEGhK9ZaE3/wb9QxT/CMxZKZ/QU PFayyIJ6iisxPbJAs2md8kKPqOuiwaGUuin7IEAUohSZYLkQYgx8mctLoEiWCOfTvNtvvsnfZkOp KRotGU9+Y/vaiU74Oa659hzOSD5wxmqq8TjtbOnH+aZfyq9w1D/l3DOkx8SkkZSi1eSv2jQLOrP1 YxmqO0T7d1CvOmxaia51xdGtDXmJb94K5TbaO4p2U/pO2G/F/2W3t4Ajs0Gn7gPbhrFnKlgXA1rQ oZMHdNuUrbsP/KJKfeIXiOXfq8XqvqfIVzNDMiQRV/NGx/Wl6JMcp5xUyhs7ajHaS1a0Rp4bp9uc UpPFwA8EEnn9P/QffD7nn0GPDMTSRFKGgzPED3w+/I9CbeMgvsTocBzVsOV+fD6BjvKmSONE6Zp+ 3FbetbILicaB6fevzH9/YeyDgiPGmaHS3+QuLsA3OGnn7poyXiTAp1wyuss/dk3yBiQgWCbByVOU TMyafiGkMi8re2iHwDB9TYkpYIOExoAaFlhddU1kKxuLRBOHUHoaBKpf7J0rwOdN3vgTnpzVLaAo 1suPotti81cjf5mOxAa05vAI5FVFtBntnmQi0Rq80wxo+D7v1NogIKkNjpJ4LO7vHkevnI5/ZvBz kkulR+tywnTzagY5+i99eWY7Rax2zcp/Ui3on6aRkAuqgqY66DtTxV8tZ6LT3qs3a0bxhmJNkzSX J0mSki7We/nqm1uKM/16NTZlk0HqWfbgnt5am5OPANzG/l1k8Zvd5my67k4dp00Tkq/IgQ82oAZ/ jh1o6XtjvPZe1mIdgFNE9xIC2x0ECPioFvLcXmZlerMLbAr+I4b0M21O5eGTHLz49n56PPexyFbj 5XvtfOlvY5AYsq2uWU4l+A05e4hJVaE9etOyjfoJNofJSqW50DG6722QAhGq1JTXlG/n1RKCziRN W5M2e84UvZFWPhShWkTRcbNoUrRGSdxmf7Rj4sNKzAewm5bwpeN9pvzBkIxmSCOzkjEBfhnmoead Uw+Kvpfv0XeZkFX4k1JhuqbMHA2bljsPe8gUpJAezlPgFhoSiG8H/dnVx6xyokUasJ/qeER+7fXE vjacmZ2WfTxSg65gFubHhlCLhOl7xShr3M13JnPxDOxGBJNfZKKctnWK4hOsz4ZxzB+NBhHVk3X7 e6OFcy6VEyWAQGhd4BImYKIgSXZBD8bQgintizx+coT/sLfdAXgOzMT+tkkedTgNtsDpMCe3Mw0O TkDTiiyMf1PK0gCH9CK1t1wzU6yA109ORl3DWMWtzCdZLkT1rvsAHM0u5cMEUTCRPrvwcZ2Yze5Z /TTG/z9G8nUBI8QIBW9q2NaU9SLE+HVG5WRKLjuCvWcWYGZzVWR7oPr0TI1ibd2SfZoyNTiuStUJ yosHw1IvXam3GL3IKoMGbbvX9S5jhXpCBxrZNFSkXYfnoSoj8uDYN08Hf4I7gCeRLVwSP1QJAdfn oUrrWMMuMCrIbl4/swi20RCWRF+IJovDtiJyLnhzGX8LRHENv35uOGoma3UuCdUowhRTR56IqWNZ BABObNw4mfB8eWEd3E+AQA== `protect end_protected
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_bram_ctrl_0_0/blk_mem_gen_v8_1/blk_mem_gen_ecc_encoder.vhd
27
20893
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block Cqo+FjfIOIw/0Kghh877RN5JtWmUPj/KfIaTRt94dXWp8zshF20HfBCWrK0/KjFcQ6xaC5bYfJZ4 kTgDE7VoLA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block P76DAxdsqqBm7Dhm+Xv4UBWtxeM3n7VV0uwUkGrQnJyruFJEvMXWtTIk68wS1svCurmxJblglPTM AUuHl8lZTHelg/xsbfqIjFFpkYurRbfQPaEBBncWEUkGXitk2MsCEJd1XKoy7X9zf5gkivM+Dtc/ HmQtcrnx7yMmBEFf0wU= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block TS87/wLvg3wp8BEZbJFwjKct5crsKQKmGgle2kFCdS51Fi9lA3booRtYf7PKimLYtiDNKzFnNmDB yS/M5Wwp3OXdwvzTqi7m8nPDGJzv9CPlgJYl97xwwfb/xlITgLx+mE3FLNjQYh1k2fW/YeWIYcJ6 dHaLGRiPpSzATplaiEnfWr4z9y5Zgw529sAAgbJqopXb1oauD9xMSn+2U51TKQlk6QzJOyaBGs0Z cYN8i3mMrSJtz9+1CorRnx9v0S2lY1WHtTTmGGV3GXP4WDMI7lTnhoLYTdqSlyv31x9qhFidZzgn WXAPS6oNxDavoZXEycPxfYnQwSx2gi0tzG/NZw== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block NpAOviX6Xvaq+L0foSrleTOrW/NGnS56aJ5rqqn2Dmt6YUNEPYGn9LoXqfbnr2nu7OxEo+FueCzR GTO3m2J9405e67h9qARcSi/hF0VUlC6bqx3PVbV+Lg35W+tGaz80NE2OUHws+A7UXDQk1Cp7m/EC XxMS909JUlXKjJHNQPk= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block P7klUwNMTreRZK7TaA1WE7CMMEOTtEjomJfZ7pHl1XNp0UR69ZqgBrqFP7D39H55daou+YH1hnHn RPI1HarNWCxtLMV4hOqf8NjoCFBgrnnB0U1fZ2Lr4Pjyi28WQhnjcgxXDHuFaQlXuyVOq9XUsvMJ ssrZQdiUjtMyy3njm+Pnbmk63891Ob2bUkQGGCsGTzQYYho8qCUxVS8K3X2BjFQusmuscPspGR3O NvboEcmhCLzlJh3n01BooLiI/MFAc4YbNKfLIovvQV4EihZ5noxjjP5wWP91DT3v8RKOECGo+vl0 XfgG1PKzgtiiXSw82pyP+WwelLF2xj1qh8+H/w== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 13728) `protect data_block EiX2NukX2J5+TgyRDb6FpolzAYOQ4QOKtxqTXAq5PT0QYib3mBeRnC0343Lv6mt+UF9OZEGgk+ro aUIkVSW+1KH0UpbMBBy9Qw3S6Z1g/U7xlk4BWvlLwi9VKw9J/90WXNUROGm+ObPM/p/OxY6Lst+g gsTV3EOAlyvLcOttsVk1HIyWd7kyGFt2iMDPrpX/InfKT4DMwmxjaT7ho8fX5wV5ETG4AlI5o3E0 tTM9tgC6UeDz5tzorurtddr1FmZMyvtbeWJMVSVbIw9eH7bpX3QLk9Eaf13Xro2SnxpOMPjM1Jhu PzP1GJdnVjjHfrvEhFrDQ5Cgdaf4ZBF+MpO7lv+nEO0F4jrjuMJVW1VmSQ5U7ajMvrytR/ylHSzE fC27li09v1vMjplqERNJ+l7b4vuvyzvtJWIWRS2TmySGnjN6MUhfWCSDHdZw83MS/CbRsg/Rzi2z bwW2cY5h2t6YRwQPFGXwQEwI866VZMC9/ZksYC8p3Bf+CJJw6HVAXVjFyAqaY3lmMW/4WUfDRjuf FTeorM4Ca+xVNlS0WUsu6cgO81EEEl4g0xk2KtTKJf6HhhUi2VbNanV9F4G+Sb3CggGfghi7yOjq equKMUyTCx5U6mAqGkp2pg59+OQO5DA5UTwT2T/h4xB+t+3XolGenaVmgYqjB51j2O32ldcpaZIu svKhfgUZ5gHF3ETtb3fq3C65BnieX0n+3BVZFBwSwXaH39Su8WFh/FlBSv7oAvCjEd17ov3LshYs eV+ewy6ePobOitV6D+tNQE8zzFrNWMaLe04jFsqyE9tCpU2CdB0fDi6OQkT/r8Hkq10gZdpPA6pg 6Zs0SpeIm+IA0M2wkLZstuCg46OMTJ8MkGBxXaWKRiv20pRgMBpX9pt8x7sZv3CBTdlJIonmFo8U +lR4fhmcgLj40rAa7Ma6bY5+gMl5T2VdUOlSAg4DA4bhg9hCj4VJAm7ECxnz2KZKUzUp94soPCnX /sACtazlpy2rFn1jIg8oVrGbPLhuIlLhWZkslpytsbJ/fEGxXys3wYAfKDAGuNCPGSAD/knuKmfF SwrrhDX2ln5tyeccQjVJ7vpsrEazs//z+mclW4CYdgtRUcF6aD0uLdxc4OnyR2dKaabBTpGFE+W9 kj8ZIXJin3HzWjyZfFzgYuvlvezHHQ96Ls7WXUWGXMiWhCLY9T16GwWKgH0CZP9UZj9Y6YLJ12Wi dSdJ2Z6lx9e7vASeXySfBcphaON/PEeWFyRpqFoGTomGwWCPVcVI5aHfcZc5r+mZtE3bnnVFQ7Ch 4OP2TLaPVADu438id4xlcDst5IGz1h9B0mGScuEfLEBSWPwDhTAyLpymbZ+R4FAv+Xrgao345BF1 VJb8nOTHJ6XxX6K+a7yG7YmoZZBlobjFqINeBf5rUznufD4dvcwBcRAwqVm80DfoCSIt57FhC4Fa vQKB0+DpXwMEss7gaJgfJMIoDRADAqCq61XEoSpIXO6B0dqiCvECTqARJ+FJKbEz1/MTuFqrBHCA ydWTDW36HNq5Az+ekAa8tjcG49f9sd2uAjieZvzMJxqaARQGEdDiEBQioZwB3La9PbB6q+u28GZh n9knCcgBjV0fYs0+riHOkd+t27FDn2VMgysFCbRpxQ712LH8zTmTNacoBkD05dFCKPmphx4iOyIW wfVEppQdQRGsFKp9cK2keRDOSlozfSdP4TCk4bl49QXvShLx22CqU4n1OmlmY5CjbT78VrQ/j3jq Dn/5pUp5FP7FthhSJNjmuLmaTZSU0lKh9xBcUblHY1MBFLj0gPABRiPC95pb674R3liUp7YqmTfd 3pIHIZijNQtofXBTyW3Bdh1+09zAV1rmtQRhmmn2LsR4LXGuHY+3ap+5G36IDmcwCCVtRpOA7t/G NLYuiaUvAwUWmGW24jvSszCU90iqbwgAOHcZSrE9+kvkofVZa80k1SWI6phA96lh8z3LxfN3r/gH yQFlXW7FggGdi6SevpeD6L4cc0lV8qZPkfm+EOKn68saSrfpipcyv408sMwe15T7mmByzeHq+G9b MD8Pe596rl8CPle5b0jzuVqtAdaiZ6EB+m5VSp2akxfePgcIxg+2IwQcSQcVFQuLas+DCMzVN0dl 5bCBlCUWwPFWN6onVEwIorpJbBLhcEm9rxgIJ4LxXQUGZ8fLY9JUSip/i3g/ZOksvh8+JNRbhrJX fc9cvgt85rQLxnGsy48Fn5Ge8q3EEetVXUI8hBuFiqKeswwoEdXtrseOOZU7CxgmkrmKDWWrujZ5 R09A9tFrWvT+uuAfUHeBfmGrx/6pmAAGA0X6SzVWQYoXcs5EoDQxalGxwz9G/y98B0M8UFGa59PD cuTBIuvIuFI2/zNpYBaNsOuxBbnm9OJLRhAYFJeIJFdv2SghjXumYdq013JBDgg6HCzJmv3EhPgo HqgfaMLCQqGxXWJQUp6ftwcGlqaIDnmKCLkqsrwOKdAGTanNGtUVDsg6tnbZjvmX6Okb7f+Pr6TB UDRAV1lJe7ytokAdgoM2Qp0FCccILYBEAZ2AfJEBvK1HPv3lAgYeU7PlzWrS//GsJVuTnKlUx6Ut h4zKQCeCsJ2xgtQMi2PA+T9Hlh6GD/TpKhI7k0gEhhkrQWGTyn4msXkWsJVU7vEBO8MtBqByL3cv FW7tiQEPGdcJ7fZVldn50YgZQYZhxqhdJQ/dhRgcSdyD+A1W2DiHlQbr4+JjHo3IatIpJ9Gnlt38 TK4lFtqDHPRZ5vXw2hf9K5XNtcpMzpOxcCmnWZlZD/agQ23uDtpE81aUvIYLkJT5Bn4xnveWRxu3 4Sa1FgsXEin0n78gen63Pv0I5G3uZDAmrbOIgiQYi2EicMXCL3uVDLafEghhEngHlPMhIX7NPJ0M f1TS6WHQgfckDkWCbwqcj9HwwnKg8I5ejFINSnSJJ+WLnpZpa5U9qFKyuul1JZqpvNMutu4MiG+F +IS18j+1nKH6kjhBN3PSWSImEpe5Cs+hlghx6JHzgOIY1CBWTDdZozrPnuV3zgGV2ab649rbPpDu D1K5dDORJrtrliYscBMTHKconE7vMKuXEwC880+fBfAy2nBn9+ZCZeHqOPkkBthen9V0MyGoxqwd fotGe+aUUGDqGzNVg+Ix5+N+s7oEA8tJ7sgPoIiyuFqXerk1/uTSImRTEHH5M5LNEsN38veEphIp vF8wAOXu3sbYFAVoPN+tGj8nvnIa0sORcoswYhEegVMqkQwaxJv5iopeluCq9Znfr4ZOKdgRWbvR MLEpJGldJLYNSZxCRiGWNQmL7AlPXsOacTL3Ei9OCLmjVL4xB2tz1o66aJEej5hlvG8q3JfbIOtZ NSSSW907oqcRqkZUK/23uQsBzDcFyD13OWQkG4YNce2dc7CGHkNcyLDjVcgk9jz7vVw5NQe9kZE3 y0XaZmtd3YtUPUV7Ry2T+RhnVAxm5a2sV2EqiF8BPMUuiv+NvFe67FrF34cZjYleAQiNS/GF52rN w08KoaVP7xDHeLxV5+d8P4s66lDVYKsBxM1tNXlQA7pgzsTVZRDLyyl2FaGeJg2RxRmo5Wb/bKDU D4VXxjTaNW8ZUvypDo61EMureRbTeJVabz4GrrzRnzwJoiIb+UiE8x211CjuIQv37AU1ej1ulkPO vW+Y2vIfbeXzZXVIlHA2r/z7WPVl/Mdsn0WbX/+iPuwJ2lsKsdXCEfXteGbMBuoo5d2lk3JV+I39 J/g5hQu+R+aFmDJgPs5rNgNSWpKYUJ7fizqg25gn/QAF0q6Fu05ZTv0dVzz6UDmPJPaGi+8lRTJ2 /L7/iy61wvlSUAD++e8qFs2yxl/kXZDKGv09svb7I8QP4uPcgKYsfD7RjGk/yNvYh/oZzrc4vbQp ggh2jYC1Q2iSXqyBGhmLzt1Z/d4HVLONYE5CGFxxbF+WXpyl5jTK6kqvwlLF3O5Puu1m2yOrB+VJ vLGrfaj7cmBJuBLHO/OrFpw0HayacX1NIyFNSszD6tJvLBrRhN3Jo/6hzgIXuvpWtyp/iVl7THgr d2jv3Ot06aUb2mfyf29K8Yj8ZV2esikjNaTSoULT5LbUv/XSFO/jlWXrzLj4X+rVTbl3vgI4JTJR 5Hu8CjVbAI4M+h59TF5jsNdIPwlNVxllHiaEub0NQMMfpnTt1W1C8g7Qnq765ZzL/JyhndruB7X7 RW4TJWbUYeyZhd4hydITrH2tWf0S2ru8Vz5h2O/raw/gbA0FCt1bKCxKBM5WxoWNv1Gap61YRTIb g6CnoZ186ZIqcKAKMkAuEfSO43Mm41uZlNmWntdQtG/Q88hKyyezAMMNG4YVrXZiQ+FvmLUp/53m sqVFUyY9ROo1YVFMhfHAs4ImMSPoDe8jnBqEXnMK1CkSqFQ6lojYhK1xsXDcbMV4p+yPANZLWVkk jk/z7LhC8Qc40txM36Xa8BfP553uN9vDYbkqdQevVu2b2AH+YgGjDDUJGo/FfOv3U7LLg0vOVIx9 n9XTTIb8a2UbKvpoEMR/DOPDICJpUQu2DMIRCa0U+cO8eg9mr/5SBlouG3INjKyDg6BD4QbieDsY XdaULVJwSRV0nDgCmucr3gVKCViRUmfVGYwzNBpMK57T77tZkOPM8QCCVHM+4kgW9mYR+sdR4xaN WfYnZHIQS7iFdGRqo9J6Lq2b8C2pu8wLjnTcTF7aX8dQjaWbjnET73DCEpT5/419FUIuEp4hhaob HRnC3QEYn6s/MklVaK9qLT+yuO2u7Aqa4F3tojlXQiVyNrip2Cnbp2SHNiPOjtF1DcWPOk39vN/k si6qLk30iuIxqfP8SjcSnljlYxJcOBh/cYzEYA2io4UW2+sBJ1oxfuTrrKW8r2vJnKwbf671N7/6 m60gvhRlW6hBUmZmYjzCTKbh7/nYvO+hNX+E2vCap/JQsqjqKFt+WcQMdiVFTV0Qw1NPWlqAk4uM 9Jo0v7Fs4kqgs2DJQtmp8NjaXmAbZwzYkY1MYST9mguUeto0E8NggfvQ81DgTo6keeCMQmg3xF/M HNAf1kbwQ3vqWNKDVKo8BeqaAg45zBgDsWNE0N9uMAmMH6q9/0CaU8K7Jd7JZbg5MWRQOM8QifTK tEdqLRSFUUtTCoJ88Nvyy2oX/S7/o1mvid8ddGjoRH7QNBPehYCL6hPXXB488wMJgzrCCBHP8fSy UQlz/uQUNrff1GFlfSA7bZyYufv6Ds+ftUYa89xeY9CYrKuLDWVhV58BTo9xxS3qGqsjtjKfLK1h bUD1NH/tpKSFnNWp2fu7uMHzh4lRArXeQoxkqOZndEWPnMp/aHXFNAQhPscOOwFXcLlwfRv3C6Zb mnBMVfsbJRJ+1Itg/pDLtveucpm3eZlLYXerxtrY4Cs8CLVGdPztQ2OwhLaW7MkKR2dTyyCsh0Td 2VAw6RFRsq13ii7k2aiLB5qreHeA4p1AWPda0ymNggk8dDzVQZl3ENSvXDNpUEzkAEq1pT8UII53 LvrgykDqk0KfO/7K0FFuHSJpojv0ndQ8c/H7QAomN7ajnGh6wQ6v3fBBrRVaHLn/DBoRCUQn2gq5 TuPvpda27quCS5hsUj4eA8CwgqM/4WmtH5h/oMh78tL6vJvRsjK1WfYdGok4qFlt3X6fSJw7vHvw EsRoDCnb1eL1h5jqDDZerScZb8SMpICDY321ZxedViwPI4Dx9KOd6GcQ2v3XQzQkBQ6DvP2TV4+z 0wb96e7gfsf5IhuP+VqlTRmBJ/QEgV649Gwl6NHiBi9Wf1OhkMI4gtsI6wRSsNt4DYv97ZptDBwF Kby3zGsNBr4DyC0kF/q6rvh/9vF8k2Fo3HQgDRlgqG3ms2EEfACkIKn7xNzpGY4DBq1ghM68b7Vk JQu4exBmsnt683u3Hi5H7TBGKMa9fZATNOlIsUjjasjU/cO1J4fSO6CcEk72OCknmqjb3CZH1gFV cgrTS4N7lAgRySBFi7gj79CrV0ZilHokAyJnxdB40hbfX36fbxz6MddO+NF+DgvTUdxm0R/skhIl epAWG6eoRk7MUO9rCe9EJo9E6PSEcnJoYsCCfRz9qyj/kRem1O0FFBPu416AyWEgpvKe+fc+lyI+ ZhOQpwIkLwfBI6T2MYOohqrwNgYVUPdaGSE10dkF1+MvvjejNWK8oTSOsljEb/Dla+7VTV4KKHpP gegFmcVzU+cHhd3V3Z8xno4GhToznN6hKDzirpPZlImVn6q4N5PiSY3GfAvepdB5SONiZ3GPailD E5x5G6wYDdTkAfizvZnKqUTmjB0OPVeGOMIVNNOW1kZVN9ClNL9OXhmkF4e7k346UYMRyZdkbvR9 uUNSbtsDqoCe/WVLT7eOdIrRNn02l/U2vCtQMtrx1Iq4e5sP1MJJ6sT1mk+zaddRc+eA9MJ4WKxY 6ij4NNe+mJYuzhWJLmpXhdxCEdRPAbaWIZKVsRzxJISc1tKXO0eYLBvO+MUe+CHJuS2iItFukw3w lmhkuJCy6hDY8J/Iob0pDzIdaUN2EyVAdf8I5vGzW9w033q2afVaILW55ykVkSNJ93p6SW0Swwir R/a4d9Nux3fhsqnmgZ6XeErznu+C6/KWklP3jhZmtWdponpCeyCfTTzsCY2hoNyyzSS0J/v01/Y3 kl9iOKZPxjNAEPwIpn3Oy1H2UC4J9FGBBWq7s0a/3dn5FWs6oYYI6Yvqf5y2rb8knJZ687CHTUEd h0aSuyoyaBLP8nAILDXn8YsymzWUrR/H08d8G9EQ2KaJIjsdArm4rmop0O/KiWqCxPS0W2zkNQbT XSgsepjdBFTJxZJuUtcamG+l1aJBcfagj4/rFdRtbsDAnzI44ubLIxKIUJ/ziIVxi1fwyT6rBjG/ hXSaBSg3JIvNLDjv0kFRuX1kcw5VjznXn8tBK75DMvVaBtyPvq2bxaT4smCgPQluLU5bLklJs2ly Zxzly2VMmIjoV53mQEyyL+Z50I/XXFQsxwZW/sH/oOy5fzLsTO6oWjMYHKMKNQmf/ljvo5L5j8Fe uXL2+M0pwOKmphx48vDxC1vEbgWPg++UJcEP9BuXI9mQzbAtmbFROMPwy14rwO7asHO35TLaDfV8 q0hCk1fzn84/+RLHbJXnRHAqCy73h8TOzSrI8GHjy0zqJ8FVFvF8K9Gsiru1Q950duKYR7KU6Elu GJWAI53l35Pegdxau6UU5TQ2ZrS3fmh9nQ1ZKtMRjDYsZtPN+Bpr6WRy0oNZrs5cePwhxf7pzwEZ JFLzVykgOLavs6nsUrCcEL1QvuiDzPEJfdBsIwK7Ux1xJtLGTcRSsp9Dgf2XUJeHxhW7PNvhF0vQ ZmqHvCcT1bRHuvqa24NarAVh1WE8SLJXt7VVTcMz3YlBzzoq9IZCytELPks+FjKPO760yisDunGT cdDmAQKIpqWhsMMrfnLLxgmZ88bBcjYr6xjdvO9Br/JEvP1xteLuGYsblwkLYuhHPzyUVkKnZ88t d377JG2xMyLuaL2wfSxSZU01+ftbwLrtJpvkC2kPdM+gp4eB0brcPI4Cv/wLNtkUVuL8V+UcnmsP PAnlKoYuOVWSjDy9QCvQHrDgd06BmVhFLvfA0qx8IeKhWPrkqGxU492nhHxRRB6LQI1NynPDkmv6 9KbRdhBm9nz+4tTxSlZPhGPDeS2AVRRdbW89f4oppYLbVKx6JgTaMfmHyd8BSEoWDddKp34MsQDj ubYJ0/w+yolvDwYy2t2OP7WIigRhK9yYhgCKWqBoAfTWQ1IpJdwVu9PtBScYLRTpvfaRzibNQ+Pn wLl0Dyf61Krbzqn0M/lmJdiX1tGkGSiSj1NcJVrLLS6UDndn9brSwMQFmj4NR91t0/FfWGdMefjv qdfxu/E9cuS1fwjguvOvLSfGQ8QJBENrC1A6qyRN9cBPdyFcWXV2hvc9ZcCi2Uv4AY8YvxDNPbGZ CuRXNF/ELd2rUK+8/lX1lm8Ostu3898Vnor8hUfD1EZKY9wBO0N3BWIsXuLN0l8vibshBd5SdWta 9+muydnaYf5Uczx9pceUddVLr6Db2st229IERPGZrJvEnkGUAHVqaAm+EiIVzGOvnD3hxqvlvqML 5+lMDy3BZxjzbJH9WOd82/pglYvDTnO5fDu/qdN2HLAegkGHVolEgzyoMvwYcNDyQ0ryk20H2Gbq SaI/S3Ctkoe5mpNbs24N12FYboXYQ1KK7iDgBlBsuatp/x8blFDkJv4+GeSLJweL6CL0eV+WDURZ onOX+jjKYTc7RCn96Hv+eZIflg4tuUfA+zZAAtCHCpvAKcINm6m/1Jl/xmVauXmrqwDhxi3RNmXT ecLn3ASOAOvlrr9/Qe2ImsfQtSgbmoCoNtckTxuTWDycQQ6IRN8ZyTt96XdN6H6VHnS7HXDNujt2 vcoNZFfa6yi6LV1t6EmRpDCD5jNgSyfJZRlZLfkxkhtwxL7lP5kmUcPNqUmpJih0TRss6mZRZtPN kXbzxz6+/iD3d7b/S9VYw7fTsqGHi3jXtJ/i/mdVglH2ZD/iCVExRz8ABjo4uJHRMBJLgeCdi/ZD LP2afiNk8x+mJNFEbQGbzizjn2wccFlixaYIq0kKbbCyTRgKxx3G6piJIMZTBOoGvizGl+BEZyzW Qo7B/rcu3mhifXgbzvcdWtUYZwW01/HjcdmeW2pL+wwvlG1zBHtEHGrTzpEmjGTo7L5C19e0O0FM VJaw5PABm8d1DmMugzTW48UQuiOW35a+zrN7xelYJTvIlORajKutvyJTShsym7V+Mg73B/JbR/dZ eDq92YEF3ExDN1wZ6IrW+NYXNFKopg4RpVqxdcJjMUQbhzCGol4XpN29XaDZxT2FrmDLyum+eGBb FRg/gG2IlQXEh9iuXw8tmqHe/1aoTWhlsWTfsOJWhN3rjQp10K3lNGua/PqGH8Q+FF53Hrkr0BoQ VsnIGLS/mfjnNIpuHLKo9XzVS9Is1MFnlVPXycERJnVsN4GY+c2MhVHl65/XKn2CschStVHxaCdo p9FqadGD7EKL2mgdj945O2OH2YhHVYvDz0KzC3KIG7euuBUk5rIrGrNsi9eNBbpseWLYfgKMmr9e kJb6JPalDX8sbFYpAJMsu2nHWfmcN3MWviEDB6EsjlBtMGrsjCsikw2JlVu7sX/Je9aMKjW+5IKn SPwkeZSqDHiPIkv2p7AK52I1BRSziz5N5zHRa16EtJneTDe28YM/dF4QMYSqdIY0187fJ/sQq6S7 Q7V6cSwmyIUNHnZXrLmVs0Ud/BC93/wR0dj7Trd/ZimYW96Uo+Et73OK1d7gfgGZP4nnVgNALnDL JMGn3ph4IquGUAZLovuTxjMjEyLUKaoyLNl2lda+z+/WFbN7ZrAEmlmtfmX2BFx3Gt2W0rgL004Q M37sgYO/rNWqxQmecIIdJ/2KKf8Mcbec0Grjd/BNZA9ASUV17qYet5oRdoQeH09cj+srQUmOv7Et YvQ8mEkfKPWfn3RS6dxVGCDGNoso1BTyc8fRSyRJHzeJPn1XRRoRYrQouJ0gJmOEjsxIFRNm+/kO 8f/atOq1tjj0XX74rRJbU3tYiHB5d829cWolm/qIg69qRv6OGqpwOv6kDqze/jLd+XVEo5uP8uyL tcbnYZk3ZsX58OheO9RSInWebUJeDR532fVwUEQM3o+WfpYrlE4qIcfwplTFFa/gcggz+/IDjHwg DbPQC0yn4PGpMa5h5TN8lkUB5D2P3VT183D/tO0+EHJstmhf+hmIqHneEoTe+rmveYHMhNmSR/Qe sPIyW1EQanfwa50FIRTIVwZ3Qg28LCIgLBd8rq8TMUBeRayDevDsmpeKB2bNhxYRyq1w0QzR6krm g7WDr2o34aGMmkZfOuCwik+ykLxZoCvIpAZArCtae3rYmawgPqn3JvUM3q8PDZIR0JMT/76CBhsm pdINNRyQkClN2g5XHXui5txkJWc5zF1062euIJc6Sy5FDYrdbSRMZAiMSZyQo8KPCimve2siFb5l lT6228AAr7ojWF1ACRk9jGvl3Vyj3OKc+SvTF+OYHYm7wjylPXRyPGOF7nF1V0ksHJNLFx6/OeXN BB9LOK34wf4VVzezVF+etdfvye5K0WZsMIVtI4RqrFelaBNHOaJb8TNRmtcIOtDXNZ3FDmf5XdZl f/w1DvD9VdejCe9O09KKkX2EPNMhVGEz6KqcSrBTi1rhe01qBEOJI9sktloegCxb632Lhv9ftLM4 +AP5QaA58tfdobpWGYQitubVM3e9RbfqZiH86kaR8SWiV6Dtcpu7N6ynIrM1gjIwL9u/3fPu9hcN 47HA8bFIaYa7ir1ZCj+1R8yP6fGdLQQaRIywFyt4zzGvJ84afj3NeMKPu8JUsBEPYEq3wS2OHUfB g75UiN75z+wF00GGy1hlJ6GDWRkV/UAI5Ftrif3kTdQXUfymzSbjptmKPdD1o1mNaR5tkj+/ZOFL QrM0wdjUHW3Xv9mphJ39eaT/EgX3gu6ajrcJ+jF/Zth4/BMW3QPGv8GisRbA+fry9xdR80AurInR WF1T3JdmmvzOfXmijSJMQLfu5017twcCZTyLfGLtO5ST8UYmXUh0hmIEo91eZrw266sZNSdQ6ihv UQFt9tt3YX+8Fl7phRk2zQsWOJwsBjD52YAHJXzrfxVXFjltnDdbn56fiDyU1YgDHxn+cZKHS4Vd wqbQJL2URAuXZr2KzKwv49omikSnJAuCMv/l1vos8+vLvKisYgVlloyqctLywO1saAURVjeAr79S JjFqCz4FM4OV7dywhQW4sbiX6AaItx5SxMqUnw+6F+N0KGskEvh/fRF9PtOUag/lwNbpEEw93V3j SHhtqAuUsV8YNJoYqWcNjjwT+NL96CXH0pHeoxFItMUXUXWa4kkbLafARY8dX48hx5wo+M4xwWFg mikUPjkEclPdA2g6/r+JxPSMnb9MQToPzQg7ZSCEqJm6Wm0EvyqE+yQe9J6F6lbl0OwH2aEj12qA 8iU42GT1NG+kqD6aMPu+KUfUskaAsmHKvhIoFI4d8eE/ElUu90sN3/Wbp6VNn7nPSvi4tgt0G7lL muHA8QcKFOH3Yxk+RjYGdPJmgbsBxnPXkrU3ffwoIDqMowtU5o45iuzz+RVBLHjxc0HzQkOOBuFn zaYM/PS//rvDtdPpoFcmIURhfuYx9o5ORp/tEy8KHjJKGYT5jmwOO/HeDnxr5nWvuEePhhq5vTFj jHHYhaCTQCbIYeoF2+WDkBhfXDXvpUffvOgaQqg41cfbrIS9j9mJASY9jHR+CPFAgqcki+6RXAZR eCIUyA8QFjX2rs3dG9yroLFY0673f0InM5WkyFFySDp3y1Imp4WNNmiiQKH4B3OrAmlnnh9pzGOu 7hA3IsAopAze5whXyMhdpJqq2QpaEjpfQcnxeurbCwrjoX8eEbOPH2Tmyl3ZgY22Z7uLT1FBCE0t eG6VExKlT+rH5/FuW4zcvDEbl5KHJRxzl4S5sqQpxupoPKZ5mNYtYUygDujNJhUiMQKnixtKLs/i utpROZDyXroLUWdTPYYQMdBd8crvwJFfmMYEnyg/c3NIOzbp27DdL966EkWIC7rhbH3PPYBGuiAm OzobNP9YEqvNbguA5hZWP/NQDx7GrXxv+TTfhyNBu+uxAa6Etu7ygiIPUFnbHcTuuu61JUY6YjTe doNExv3mY3Pm0SEN71duhd2mhLRaiZty9M5a39dMeSPX9KJ63E5UzsABTykFFE5GZjdMk+RoKbMP Ni2pkvpskDMWTg3MUf98IWDNUpcrYJ8lDDUHMIGsSTDjwouV9OXUsmy+027NiZAaBfFkbOTKY3LB BvOYm8uaBqqyyshqn2FX7VfvPCn9y1uYrdhfk05goG9wZs6QiaH/3AxCKqzRaTf/s43SISZC3ySW BwmWyTDiKnBiF4AeZ5+3bQPJEmT1ou9WE2aNokRX4UBkM0+7WDj711EblNKjxj27uIs1iGe8LD2/ z6LXlFluJF8MSEvay7SaUXSbWT+F7nOFI6ZJ6uaiJE/j8IeZ00G8kdJILDftT8tPyEGXYZ1RcfxJ PgLdP0XMIDAwUaTZ4rXBgr5Zgv7j9SsZjLP8ZH//xy3X+sVeI2WiSRRa1qngyiytp3IeEUKE912m 6ZW9BDGI8WhFTg9sU0n4ITAqmhgUjDQQK7cRCVzdp7GEVQSGYyzTH9R0/zzPMB1xuZg/5B2dfcg1 zGjSUxJIIUSqXioKfPapaq0M+lRkO4rHGujrrH+4Nipr9ttXN7/8frs1x/4BagiafxkeWJenEdAO xJzzxaHuIoo2BX1CJzcLLKqyP7vYvwEsbr1E+wt0XVEBMIKKsvCqksQoWgpvKBm2f7Xs5OufWb7t OVaErrav7jx7+MuhnK1gOGigf1wZU86LfOxGABSbUC4oLS6F6HBLwi41UbiE03uzRmoZMdu7EReC ScVwEYeZgWwcqDOCtN5zSEBZ1QHK1tMc4dvtUQwLv2pejhkHps6EWVsWxakvaOJPQe1jQyAVa6Wy 2PnG5sjgFfviieiMc06V5IWX0tCD2CFntHnoTV1M2Zc6Q0ywrK5lJnfaXFYzWxHNBhicuyHAFpia Sb0rbmJSCwPrXYo8fMn/4IrLyGHolhqf7+hbVzQUSU5oCptoXyFQ5Lzw+wL0v4+6XuTkcXSwO/8T RYwN2TSWMnn/EmTaMhtTAlOnVqQq9roDnqj+aSQe7Zr5fQKKBlFAxWp/mN0vY4HCAqHw7EzjfAFP KDRZObCGPqZB+6I7quWMbLKPrxnaaJk9LVPPKt9n4G6UIth8SQl6P2dpObi7q74X4ZHbieVdMC+/ s2npN/z2X499iQO86dDKymqoXaFx9tuEIF9+Hb8lYhlidKeDHVFTrJ+Icfh3tKiTpveeFJRIIlP3 4APjIj15bg2g28yA/pwEYs2muqPmiue5FmQKSLfPwJf5JCFr+DgToXiKf4JX62/p3Ftz1Yu5f1GX ugSlx82FEe6JbZOk1NPrKDD651NrA3B04pdlMrc8Cwniq7MbMNpoFmPwpmzrlCGx6Y3Z5XsmH4Rc KtNGIcMZsaPFPc9oBDIVdyfQaRUNLuTLjKCI/sOzkiQeKEnDRJYdVGbMaDyMkWBXZySKOK9SB8tl GMBGJFa3dX3X1iTPd3Rr4EeZ4VN5obqHPGTXBvzM5wEr/dBnPEZZqhUWlJjy3mqeT5nL08DQKLOP 1gMB3FEJdOGmL3A4/yYS9IufhxJIdhcwbnLUGcGP+dd0FMnVtRHRzdc+KkG5Zk1PmrMqXbdoipa4 L/mH+OLWqhlQ2VQMb6N9zxikjld36Lu+JIcyescJ+gjWqfA6TVj3fZ9AYUFvfBf/m6KsfvxTP4Ie P+MNckAy2EX1IFRPDvmwU5NXdx6PFBQc8WNCdlcxakFqBQzyKw7Qm+PxC43nRB7W8Rge2prbU4fB mhb4MDGNcSCEk538hPSOy1w+mT5SD1v6jMgU/E+w6pQQvbCycEHydpa/1f8ScWduKgRY/UXSAcv9 6WUr33p1qql9Uz3XIg+mxkIRVKIJ+vynaYKwgGhc7LfMbcIMJdk3JRAcsJq/XNq4UD/wRc6U2XyQ PXNoKvMFxBrG1oac5VtajJtabeCehjvESB/AHlOqpHpnb1+9eXgcesfnDPrTOZAXNfdSFFZc6mTi psruCLcmgk5vhmvuykAyfWWTI4NZderSMF3j0/Vtr/h+Wm3OnS1Nd1/UCGx5S2NDwTFFOUY4Jj+x O0i8b+a8N4JYnMMrw9sgVs5wlLiFeC0E/YKOAT73W3UDsdBP76zZbfGRcRU4klVLo+A1pJgnQhvx wME1kUD91U1MEK9yw8IP+JAAEei+qYezcNfF4WUJnqQtv1tiwxvngzU8XquxCCFW/4sQzsUKJvXi 0QtwwDWDEKyDK0L4EQtfJVxi6D0xHAqM2ZPaHOcNsRoKmCbWnnrsEMXaS2zvkozjPRr/Cf2yEnsw JQ8IthD2h/ayoNPk1OuYY6vDsTK76iaY/XvQ6yZ1X/ctdxx6GUExqhx7We+ePg801mK4dWK6w8cP /Xnjc06VWVbDC6+Xh2OY4/vpTd597+M1yEmREJ9RpR//PI4bEiEbpXpzQsyvZyRhQbJnvhJ03427 S98vfIqW56VKisfqVlnkD6AYEOHjtUPaK1hlU8hUteSuffeUazqCGzKGAl0Okc9CIbxf2Vw6CRCq lzRTbvQoPAEVfO4ps5tbiGKVsQDvcDJDVyZx9XvZI2vA86ckEJjWyUCOl5cqMzeBFdhyrJylZ4En 0fOmFzoUPj+P8k+BaqVZ5ulFgPrX9TKRgeqSTBlMSzjLg1Pt+mGqm8lgityh6d/zkzn/8HtD1I2G /NhWYHepjMBRw53hveK8A74i42eiCRxK3XXD+hQKw6izI7G725ulH5werO5yyzCk2Cd54BqWIOx8 mY2tiSh3/fW47V4VQem12ddRrKsAOxPaHgRyC5k4hbwCgkQKrJSB3u2vmwPrHqiOANpU93mur6H8 WORzgzcXPibKmoDO6vt2f91vwMBLXBpRlFrbALnZNLUVIQoBHfZfShaF6LaW+jsVZPBJDpdvFAGz j4j43CCzLoZ+kEXE3TSbHgtg6jiuwTo2aj1rvVxgI+n5jdDWd9SnOj9zxqmDv0xhdH9DG21HKnlZ krE+c6xKF5VmTLK6oM56sAoiTEt24FcMNkEd/zD/UVhl68ayTLGSm33wxsDPvG5btAogKj/zx2HS f08hSYdtPDhsSBx7gjhO+HHxRP8Dh15JVrI5OoqFRXlsXzN4fuPEmqq297YqNXiCkZ547B3IIU3O JES8Cnj2SJ/72XaRddLrtg1m2ePS1jka/+3HvNXebQmBIDeAHhIkhAvU2uprmX00v3Uls59TX8ia MIwT99GDtYIyvmdNccrKNGzkirfLIEkxi2eKr3SCIWaBXvLy57/oZkIl0c5PvOvppwIpl5nDTnI2 5lGQEZIoMABWSs+y3SI1mS8GjIy1jCrUz4LVV2IbgPEmDjrAqRG8FFDYSBCGINvjFBJG6VyJLB1O zrzao1U9paiyvUzRlwyJfUDFQFB/r3cvj3ifDTU7QVh+KAiGREx5vgXMKQDBs7fmwd/JWIGXaVYy uoKYogoKwcyjFfsNaFArws5+bJmJAZRIy0dFVOuQkIhY5sQ9vyicNpJDzesOfjF80SrDphZse7RM UfISNWhA/NmTbJXshjZ45GiytNlImEg8oZLBQ9nfotDiK77qKWSMEWmcAkfevas03++UVZrc1QtT Hz5Ge51TJ/as16xxXAynJFGNgRegcKB21Yia6OFXNXcnXabX4kfAJQXDYwIob9C1IfYcS2qXhtLd tvwsMxrJf4ex3jYUO9Wss3YEVdK7uiPdnGPeiamyw1TZk3lSRHEZy6VjA48aTZX/7Nkh52UvgrOA GIRfJ/xcfA2sGnj8HUtSPNROwc5se+4mzB/4qznZ56v3HIIVqU63ZcHu/TtkF4r4MkEUsBmaaVnd WE5cUsxQ4YJWyQXmGEW+Tn8rNqzfEX1oNACTDbtdZ7FgMA+kiyzdoyEcDyJQT33LJUmeSrgv2r8/ qdViUOBRIx3YEXL5nzb8/mYCvPFGS668wxZrjRWVCgxMfstT4CpSOmTHR2zJuq0t95stcMcMEpYO veJlRD/XeKfrF+Ne/XkU6eadhYSM4vrF/aawKIs062nstGt2R153OCFkskM6Pr9K/wMJBZBwTMZT DQMTB3Yy4oX/0awdn/yNqQRVGPwSc8aMC+VuhyDpmul3FpHIp3jHpnmwATLqRbW52pQ/Ezcn4Wef 4HKuUXW8a6GU58tyVkvTexKoSrazl63f54a8h5MMEXgd7w4B7Nt2ZTvvhitkm2TbgYsNovs0K6oj 50FcKyTSR3YAwVjmaAc9GXiiWxcTpkXuAepDazDRq4yMjnECzpiVzVTCK6yUI9E/pyhFYfLugouY 2dmljD7baHAitY9k9vAbOHsBx97GQajnO8R3OqtipEiLllNnT2HZGVDN0wKrhoEnxyjHUtnsXnkM i5C4dm3KZKOdyk71Vhrqg0Ibs8nG2tbkuyF6UCyWcrTkhdJEKB6Bq7aiIUEhulsG+UYzf49RuO32 kw/I7NAcu70RQiANt7TxKM7K6KGCXNbVR2m6aJxrZ5rJULEGHaiziN8kNaWBhnA6xNVtfzHt67g8 Kf6uyvhNiTGBlGS+e42Rn6zxdLwHmRdUW6U0rWRom0WclCePo06GZ4iOJh1v4YxifW62VnowELLW CXt64U/9hIzFt1HcafcBtGBKoAhZIvEqfVdWX83YUPSujrqE5SND3pZcOc2+t7hQ5K5vA5PDNgMA 8I4rIjgS209mb7PHkfUpoQLZrvz4SX1KCx8IHiOgZuPkyQROBXjuhoWPgIkKpNcLKDP+XlwLPc2p GYIhg0XX8jA60j8gyrgNQ8B/5rf/spcNAeEFdq/CZVaeE1BIn2yYv6ylzv8FfKrTzftJMytpI+ZY 9zxAg+1ksvbEwv7zp1tvKdxa/6UUQGFNiXHjBTUaNu4m4GFpK/zKCnjd4XilVpWM8i3/gvxwtJxM PrmTi7PTXR5NeD0NgPBYmVNEHC+nloD3cp3xL5GDD5eeszvIBPSgYfGrx61Xs2kQpCW5+Mr7Z7ok WyNjBUjMr6wFFbmtgTyzd5xEjAWU6SwNdwCLG2JVhDgGoCLn2TuAbr0+qyNHVSwBEbm52rwfDRan yHnWWbky5jrr4uAIyC1rdeZ4jYuvedFCXogm+FFzCRyv0I2gZq1tjqPFo/UUWhAC9XZbLH5W/rhM lFtICdRR1DStQxC9ZWS3Kg8adLEA4Fmqol6V5yETTWzNfkKHLxFvWFwFlwy7yQosHZv9gAXfcDsT kDfKVwndnvojbEht82Xad6XDjTBODhdpGYZ1I1yKwv3Iy7UsRKvZDznLz5j3wPeTIt0e4yjHTJ3C hGWatxcU+XNjfM6htAvX+yQYLT9JuuTYWjx8W8jneXZ3gW6YXAScwbeUIii2TiZnPyd8RvoWkshj rvAVXHOpFdQ2Agi4OCnsdm7k2as/pcRpjMmuCZxOh9xupFU5c5X9QFE7iV1hIj9vFLp6L7HptDbe iV1ubtS9hTnlRxYRcdL83oppjbrKAYYNHK4J2PvPwMDYNgocASkoydgYjhgqaxKtA5GN7ouZ0dVJ OfdoRItoWZw2wFwhl8jjQygWIvCUF+yZbQeNnk2KA8Thw25u0qKTA8uJDTR+wMtLHD5FHyUkdTTA Tia7I1bZ/sI0uAXp5dWT9CqZwMMv7dz4HMs9xESQ+FTdCFNC50XYlPv2EKHHdAwyyhPreoCNf7hV h5RtepEPqVqNZYNyKxlLibrDLIAaWTYaW3kMFKe6QjNYjTsmTZa2YTYfsbmDaKlC+d6r4wkZApDw bixqPs8COmYJu3pF9d3frec/md0FdxoZ9t8rdlZk2Y+hRul42D3HBsuIzIVpT8FoiwJfhGPBsBqw +eJRolmxwiR+FSuCTtowD+tvC7cAU3BZI+L4ZIqxfKwWP0KolTwJFZLX+HOqxurYn+/bGAijJBuL VjH7sXCjO458uxNqLA8RE8KsdQWVge0grU9SZJ5zgyWU8fepwe9mn4uA+1n6IfYNt48bTfQSQ5uu 7JKitGjN2WEg8bA4LIe0POGJk8Ox5om2J1iBfw5zttcBzzR0DV6F+MgRbFvHDO1Mp4JcKjM4Q6ZC nJztKMiVuBWCAr6sWst+OwFCgTKDkHOnhPZDzOhWKO1QFnF0vuq5c5lASQy7Zj/zXTTXEIWr8T2A HQsJ4gfwC2URoD5JD3L3+8kYcR2gCUiHV8oq4S4+12HGPT86UJXw+92epCFwvVnYJS1BLrBuOztG fe4LzjgRHfIm+cnxcu3dZFuYg6zFy/tcQqMttMLvg7CNv6ER94xhGozvSP95Olq9zDQ5ooMjoxUJ PWiYh7smtQ8Z9GJZc5ZT4lo+wVhWpuYaS+f+8gGDL7I9DBwaNaQHfUuJTLLOJyiBcljceZM+XAQz X14aa9H09DtzfQ03Vus5ml6g15ZNKPXJa7+KfjkaE7uTknl0eDnlrBjRFG4jxQdHJhiOWBq34q9H xqGP/KwCjKbtXrFFGuhtOpuF0aJMomZpLyIi7a0lMdnP1Amv3PGaWqaBAp7XOLl4oZ4uy8TGbvv5 SFIcALX9K6pb3HFZ+g+6ve0d7W5GLlr9EVUrooaCqkHx5gjurPNgHtbgR3+JjBv39aZWOM1iYLu3 he62v9H6yR+uUAPS35IswYvyqjr+5JtAXNor6wIVr3tGwn3o8AM862ToxyC36Mh5cKLWDZiyqldE LCFHPBme/kK6kfYXHBARFwmEFgFhSOh8VYoOXSOpIwZt4Scc4OKB7yFPIIOpmP3R `protect end_protected
mit
HighlandersFRC/fpga
led_string_no_gpio/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_proc_sys_reset_1_0/blk_mem_gen_v8_1/blk_mem_gen_ecc_encoder.vhd
27
20893
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block Cqo+FjfIOIw/0Kghh877RN5JtWmUPj/KfIaTRt94dXWp8zshF20HfBCWrK0/KjFcQ6xaC5bYfJZ4 kTgDE7VoLA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block P76DAxdsqqBm7Dhm+Xv4UBWtxeM3n7VV0uwUkGrQnJyruFJEvMXWtTIk68wS1svCurmxJblglPTM AUuHl8lZTHelg/xsbfqIjFFpkYurRbfQPaEBBncWEUkGXitk2MsCEJd1XKoy7X9zf5gkivM+Dtc/ HmQtcrnx7yMmBEFf0wU= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block TS87/wLvg3wp8BEZbJFwjKct5crsKQKmGgle2kFCdS51Fi9lA3booRtYf7PKimLYtiDNKzFnNmDB yS/M5Wwp3OXdwvzTqi7m8nPDGJzv9CPlgJYl97xwwfb/xlITgLx+mE3FLNjQYh1k2fW/YeWIYcJ6 dHaLGRiPpSzATplaiEnfWr4z9y5Zgw529sAAgbJqopXb1oauD9xMSn+2U51TKQlk6QzJOyaBGs0Z cYN8i3mMrSJtz9+1CorRnx9v0S2lY1WHtTTmGGV3GXP4WDMI7lTnhoLYTdqSlyv31x9qhFidZzgn WXAPS6oNxDavoZXEycPxfYnQwSx2gi0tzG/NZw== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block NpAOviX6Xvaq+L0foSrleTOrW/NGnS56aJ5rqqn2Dmt6YUNEPYGn9LoXqfbnr2nu7OxEo+FueCzR GTO3m2J9405e67h9qARcSi/hF0VUlC6bqx3PVbV+Lg35W+tGaz80NE2OUHws+A7UXDQk1Cp7m/EC XxMS909JUlXKjJHNQPk= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block P7klUwNMTreRZK7TaA1WE7CMMEOTtEjomJfZ7pHl1XNp0UR69ZqgBrqFP7D39H55daou+YH1hnHn RPI1HarNWCxtLMV4hOqf8NjoCFBgrnnB0U1fZ2Lr4Pjyi28WQhnjcgxXDHuFaQlXuyVOq9XUsvMJ ssrZQdiUjtMyy3njm+Pnbmk63891Ob2bUkQGGCsGTzQYYho8qCUxVS8K3X2BjFQusmuscPspGR3O NvboEcmhCLzlJh3n01BooLiI/MFAc4YbNKfLIovvQV4EihZ5noxjjP5wWP91DT3v8RKOECGo+vl0 XfgG1PKzgtiiXSw82pyP+WwelLF2xj1qh8+H/w== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 13728) `protect data_block EiX2NukX2J5+TgyRDb6FpolzAYOQ4QOKtxqTXAq5PT0QYib3mBeRnC0343Lv6mt+UF9OZEGgk+ro aUIkVSW+1KH0UpbMBBy9Qw3S6Z1g/U7xlk4BWvlLwi9VKw9J/90WXNUROGm+ObPM/p/OxY6Lst+g gsTV3EOAlyvLcOttsVk1HIyWd7kyGFt2iMDPrpX/InfKT4DMwmxjaT7ho8fX5wV5ETG4AlI5o3E0 tTM9tgC6UeDz5tzorurtddr1FmZMyvtbeWJMVSVbIw9eH7bpX3QLk9Eaf13Xro2SnxpOMPjM1Jhu PzP1GJdnVjjHfrvEhFrDQ5Cgdaf4ZBF+MpO7lv+nEO0F4jrjuMJVW1VmSQ5U7ajMvrytR/ylHSzE fC27li09v1vMjplqERNJ+l7b4vuvyzvtJWIWRS2TmySGnjN6MUhfWCSDHdZw83MS/CbRsg/Rzi2z bwW2cY5h2t6YRwQPFGXwQEwI866VZMC9/ZksYC8p3Bf+CJJw6HVAXVjFyAqaY3lmMW/4WUfDRjuf FTeorM4Ca+xVNlS0WUsu6cgO81EEEl4g0xk2KtTKJf6HhhUi2VbNanV9F4G+Sb3CggGfghi7yOjq equKMUyTCx5U6mAqGkp2pg59+OQO5DA5UTwT2T/h4xB+t+3XolGenaVmgYqjB51j2O32ldcpaZIu svKhfgUZ5gHF3ETtb3fq3C65BnieX0n+3BVZFBwSwXaH39Su8WFh/FlBSv7oAvCjEd17ov3LshYs eV+ewy6ePobOitV6D+tNQE8zzFrNWMaLe04jFsqyE9tCpU2CdB0fDi6OQkT/r8Hkq10gZdpPA6pg 6Zs0SpeIm+IA0M2wkLZstuCg46OMTJ8MkGBxXaWKRiv20pRgMBpX9pt8x7sZv3CBTdlJIonmFo8U +lR4fhmcgLj40rAa7Ma6bY5+gMl5T2VdUOlSAg4DA4bhg9hCj4VJAm7ECxnz2KZKUzUp94soPCnX /sACtazlpy2rFn1jIg8oVrGbPLhuIlLhWZkslpytsbJ/fEGxXys3wYAfKDAGuNCPGSAD/knuKmfF SwrrhDX2ln5tyeccQjVJ7vpsrEazs//z+mclW4CYdgtRUcF6aD0uLdxc4OnyR2dKaabBTpGFE+W9 kj8ZIXJin3HzWjyZfFzgYuvlvezHHQ96Ls7WXUWGXMiWhCLY9T16GwWKgH0CZP9UZj9Y6YLJ12Wi dSdJ2Z6lx9e7vASeXySfBcphaON/PEeWFyRpqFoGTomGwWCPVcVI5aHfcZc5r+mZtE3bnnVFQ7Ch 4OP2TLaPVADu438id4xlcDst5IGz1h9B0mGScuEfLEBSWPwDhTAyLpymbZ+R4FAv+Xrgao345BF1 VJb8nOTHJ6XxX6K+a7yG7YmoZZBlobjFqINeBf5rUznufD4dvcwBcRAwqVm80DfoCSIt57FhC4Fa vQKB0+DpXwMEss7gaJgfJMIoDRADAqCq61XEoSpIXO6B0dqiCvECTqARJ+FJKbEz1/MTuFqrBHCA ydWTDW36HNq5Az+ekAa8tjcG49f9sd2uAjieZvzMJxqaARQGEdDiEBQioZwB3La9PbB6q+u28GZh n9knCcgBjV0fYs0+riHOkd+t27FDn2VMgysFCbRpxQ712LH8zTmTNacoBkD05dFCKPmphx4iOyIW wfVEppQdQRGsFKp9cK2keRDOSlozfSdP4TCk4bl49QXvShLx22CqU4n1OmlmY5CjbT78VrQ/j3jq Dn/5pUp5FP7FthhSJNjmuLmaTZSU0lKh9xBcUblHY1MBFLj0gPABRiPC95pb674R3liUp7YqmTfd 3pIHIZijNQtofXBTyW3Bdh1+09zAV1rmtQRhmmn2LsR4LXGuHY+3ap+5G36IDmcwCCVtRpOA7t/G NLYuiaUvAwUWmGW24jvSszCU90iqbwgAOHcZSrE9+kvkofVZa80k1SWI6phA96lh8z3LxfN3r/gH yQFlXW7FggGdi6SevpeD6L4cc0lV8qZPkfm+EOKn68saSrfpipcyv408sMwe15T7mmByzeHq+G9b MD8Pe596rl8CPle5b0jzuVqtAdaiZ6EB+m5VSp2akxfePgcIxg+2IwQcSQcVFQuLas+DCMzVN0dl 5bCBlCUWwPFWN6onVEwIorpJbBLhcEm9rxgIJ4LxXQUGZ8fLY9JUSip/i3g/ZOksvh8+JNRbhrJX fc9cvgt85rQLxnGsy48Fn5Ge8q3EEetVXUI8hBuFiqKeswwoEdXtrseOOZU7CxgmkrmKDWWrujZ5 R09A9tFrWvT+uuAfUHeBfmGrx/6pmAAGA0X6SzVWQYoXcs5EoDQxalGxwz9G/y98B0M8UFGa59PD cuTBIuvIuFI2/zNpYBaNsOuxBbnm9OJLRhAYFJeIJFdv2SghjXumYdq013JBDgg6HCzJmv3EhPgo HqgfaMLCQqGxXWJQUp6ftwcGlqaIDnmKCLkqsrwOKdAGTanNGtUVDsg6tnbZjvmX6Okb7f+Pr6TB UDRAV1lJe7ytokAdgoM2Qp0FCccILYBEAZ2AfJEBvK1HPv3lAgYeU7PlzWrS//GsJVuTnKlUx6Ut h4zKQCeCsJ2xgtQMi2PA+T9Hlh6GD/TpKhI7k0gEhhkrQWGTyn4msXkWsJVU7vEBO8MtBqByL3cv FW7tiQEPGdcJ7fZVldn50YgZQYZhxqhdJQ/dhRgcSdyD+A1W2DiHlQbr4+JjHo3IatIpJ9Gnlt38 TK4lFtqDHPRZ5vXw2hf9K5XNtcpMzpOxcCmnWZlZD/agQ23uDtpE81aUvIYLkJT5Bn4xnveWRxu3 4Sa1FgsXEin0n78gen63Pv0I5G3uZDAmrbOIgiQYi2EicMXCL3uVDLafEghhEngHlPMhIX7NPJ0M f1TS6WHQgfckDkWCbwqcj9HwwnKg8I5ejFINSnSJJ+WLnpZpa5U9qFKyuul1JZqpvNMutu4MiG+F +IS18j+1nKH6kjhBN3PSWSImEpe5Cs+hlghx6JHzgOIY1CBWTDdZozrPnuV3zgGV2ab649rbPpDu D1K5dDORJrtrliYscBMTHKconE7vMKuXEwC880+fBfAy2nBn9+ZCZeHqOPkkBthen9V0MyGoxqwd fotGe+aUUGDqGzNVg+Ix5+N+s7oEA8tJ7sgPoIiyuFqXerk1/uTSImRTEHH5M5LNEsN38veEphIp vF8wAOXu3sbYFAVoPN+tGj8nvnIa0sORcoswYhEegVMqkQwaxJv5iopeluCq9Znfr4ZOKdgRWbvR MLEpJGldJLYNSZxCRiGWNQmL7AlPXsOacTL3Ei9OCLmjVL4xB2tz1o66aJEej5hlvG8q3JfbIOtZ NSSSW907oqcRqkZUK/23uQsBzDcFyD13OWQkG4YNce2dc7CGHkNcyLDjVcgk9jz7vVw5NQe9kZE3 y0XaZmtd3YtUPUV7Ry2T+RhnVAxm5a2sV2EqiF8BPMUuiv+NvFe67FrF34cZjYleAQiNS/GF52rN w08KoaVP7xDHeLxV5+d8P4s66lDVYKsBxM1tNXlQA7pgzsTVZRDLyyl2FaGeJg2RxRmo5Wb/bKDU D4VXxjTaNW8ZUvypDo61EMureRbTeJVabz4GrrzRnzwJoiIb+UiE8x211CjuIQv37AU1ej1ulkPO vW+Y2vIfbeXzZXVIlHA2r/z7WPVl/Mdsn0WbX/+iPuwJ2lsKsdXCEfXteGbMBuoo5d2lk3JV+I39 J/g5hQu+R+aFmDJgPs5rNgNSWpKYUJ7fizqg25gn/QAF0q6Fu05ZTv0dVzz6UDmPJPaGi+8lRTJ2 /L7/iy61wvlSUAD++e8qFs2yxl/kXZDKGv09svb7I8QP4uPcgKYsfD7RjGk/yNvYh/oZzrc4vbQp ggh2jYC1Q2iSXqyBGhmLzt1Z/d4HVLONYE5CGFxxbF+WXpyl5jTK6kqvwlLF3O5Puu1m2yOrB+VJ vLGrfaj7cmBJuBLHO/OrFpw0HayacX1NIyFNSszD6tJvLBrRhN3Jo/6hzgIXuvpWtyp/iVl7THgr d2jv3Ot06aUb2mfyf29K8Yj8ZV2esikjNaTSoULT5LbUv/XSFO/jlWXrzLj4X+rVTbl3vgI4JTJR 5Hu8CjVbAI4M+h59TF5jsNdIPwlNVxllHiaEub0NQMMfpnTt1W1C8g7Qnq765ZzL/JyhndruB7X7 RW4TJWbUYeyZhd4hydITrH2tWf0S2ru8Vz5h2O/raw/gbA0FCt1bKCxKBM5WxoWNv1Gap61YRTIb g6CnoZ186ZIqcKAKMkAuEfSO43Mm41uZlNmWntdQtG/Q88hKyyezAMMNG4YVrXZiQ+FvmLUp/53m sqVFUyY9ROo1YVFMhfHAs4ImMSPoDe8jnBqEXnMK1CkSqFQ6lojYhK1xsXDcbMV4p+yPANZLWVkk jk/z7LhC8Qc40txM36Xa8BfP553uN9vDYbkqdQevVu2b2AH+YgGjDDUJGo/FfOv3U7LLg0vOVIx9 n9XTTIb8a2UbKvpoEMR/DOPDICJpUQu2DMIRCa0U+cO8eg9mr/5SBlouG3INjKyDg6BD4QbieDsY XdaULVJwSRV0nDgCmucr3gVKCViRUmfVGYwzNBpMK57T77tZkOPM8QCCVHM+4kgW9mYR+sdR4xaN WfYnZHIQS7iFdGRqo9J6Lq2b8C2pu8wLjnTcTF7aX8dQjaWbjnET73DCEpT5/419FUIuEp4hhaob HRnC3QEYn6s/MklVaK9qLT+yuO2u7Aqa4F3tojlXQiVyNrip2Cnbp2SHNiPOjtF1DcWPOk39vN/k si6qLk30iuIxqfP8SjcSnljlYxJcOBh/cYzEYA2io4UW2+sBJ1oxfuTrrKW8r2vJnKwbf671N7/6 m60gvhRlW6hBUmZmYjzCTKbh7/nYvO+hNX+E2vCap/JQsqjqKFt+WcQMdiVFTV0Qw1NPWlqAk4uM 9Jo0v7Fs4kqgs2DJQtmp8NjaXmAbZwzYkY1MYST9mguUeto0E8NggfvQ81DgTo6keeCMQmg3xF/M HNAf1kbwQ3vqWNKDVKo8BeqaAg45zBgDsWNE0N9uMAmMH6q9/0CaU8K7Jd7JZbg5MWRQOM8QifTK tEdqLRSFUUtTCoJ88Nvyy2oX/S7/o1mvid8ddGjoRH7QNBPehYCL6hPXXB488wMJgzrCCBHP8fSy UQlz/uQUNrff1GFlfSA7bZyYufv6Ds+ftUYa89xeY9CYrKuLDWVhV58BTo9xxS3qGqsjtjKfLK1h bUD1NH/tpKSFnNWp2fu7uMHzh4lRArXeQoxkqOZndEWPnMp/aHXFNAQhPscOOwFXcLlwfRv3C6Zb mnBMVfsbJRJ+1Itg/pDLtveucpm3eZlLYXerxtrY4Cs8CLVGdPztQ2OwhLaW7MkKR2dTyyCsh0Td 2VAw6RFRsq13ii7k2aiLB5qreHeA4p1AWPda0ymNggk8dDzVQZl3ENSvXDNpUEzkAEq1pT8UII53 LvrgykDqk0KfO/7K0FFuHSJpojv0ndQ8c/H7QAomN7ajnGh6wQ6v3fBBrRVaHLn/DBoRCUQn2gq5 TuPvpda27quCS5hsUj4eA8CwgqM/4WmtH5h/oMh78tL6vJvRsjK1WfYdGok4qFlt3X6fSJw7vHvw EsRoDCnb1eL1h5jqDDZerScZb8SMpICDY321ZxedViwPI4Dx9KOd6GcQ2v3XQzQkBQ6DvP2TV4+z 0wb96e7gfsf5IhuP+VqlTRmBJ/QEgV649Gwl6NHiBi9Wf1OhkMI4gtsI6wRSsNt4DYv97ZptDBwF Kby3zGsNBr4DyC0kF/q6rvh/9vF8k2Fo3HQgDRlgqG3ms2EEfACkIKn7xNzpGY4DBq1ghM68b7Vk JQu4exBmsnt683u3Hi5H7TBGKMa9fZATNOlIsUjjasjU/cO1J4fSO6CcEk72OCknmqjb3CZH1gFV cgrTS4N7lAgRySBFi7gj79CrV0ZilHokAyJnxdB40hbfX36fbxz6MddO+NF+DgvTUdxm0R/skhIl epAWG6eoRk7MUO9rCe9EJo9E6PSEcnJoYsCCfRz9qyj/kRem1O0FFBPu416AyWEgpvKe+fc+lyI+ ZhOQpwIkLwfBI6T2MYOohqrwNgYVUPdaGSE10dkF1+MvvjejNWK8oTSOsljEb/Dla+7VTV4KKHpP gegFmcVzU+cHhd3V3Z8xno4GhToznN6hKDzirpPZlImVn6q4N5PiSY3GfAvepdB5SONiZ3GPailD E5x5G6wYDdTkAfizvZnKqUTmjB0OPVeGOMIVNNOW1kZVN9ClNL9OXhmkF4e7k346UYMRyZdkbvR9 uUNSbtsDqoCe/WVLT7eOdIrRNn02l/U2vCtQMtrx1Iq4e5sP1MJJ6sT1mk+zaddRc+eA9MJ4WKxY 6ij4NNe+mJYuzhWJLmpXhdxCEdRPAbaWIZKVsRzxJISc1tKXO0eYLBvO+MUe+CHJuS2iItFukw3w lmhkuJCy6hDY8J/Iob0pDzIdaUN2EyVAdf8I5vGzW9w033q2afVaILW55ykVkSNJ93p6SW0Swwir R/a4d9Nux3fhsqnmgZ6XeErznu+C6/KWklP3jhZmtWdponpCeyCfTTzsCY2hoNyyzSS0J/v01/Y3 kl9iOKZPxjNAEPwIpn3Oy1H2UC4J9FGBBWq7s0a/3dn5FWs6oYYI6Yvqf5y2rb8knJZ687CHTUEd h0aSuyoyaBLP8nAILDXn8YsymzWUrR/H08d8G9EQ2KaJIjsdArm4rmop0O/KiWqCxPS0W2zkNQbT XSgsepjdBFTJxZJuUtcamG+l1aJBcfagj4/rFdRtbsDAnzI44ubLIxKIUJ/ziIVxi1fwyT6rBjG/ hXSaBSg3JIvNLDjv0kFRuX1kcw5VjznXn8tBK75DMvVaBtyPvq2bxaT4smCgPQluLU5bLklJs2ly Zxzly2VMmIjoV53mQEyyL+Z50I/XXFQsxwZW/sH/oOy5fzLsTO6oWjMYHKMKNQmf/ljvo5L5j8Fe uXL2+M0pwOKmphx48vDxC1vEbgWPg++UJcEP9BuXI9mQzbAtmbFROMPwy14rwO7asHO35TLaDfV8 q0hCk1fzn84/+RLHbJXnRHAqCy73h8TOzSrI8GHjy0zqJ8FVFvF8K9Gsiru1Q950duKYR7KU6Elu GJWAI53l35Pegdxau6UU5TQ2ZrS3fmh9nQ1ZKtMRjDYsZtPN+Bpr6WRy0oNZrs5cePwhxf7pzwEZ JFLzVykgOLavs6nsUrCcEL1QvuiDzPEJfdBsIwK7Ux1xJtLGTcRSsp9Dgf2XUJeHxhW7PNvhF0vQ ZmqHvCcT1bRHuvqa24NarAVh1WE8SLJXt7VVTcMz3YlBzzoq9IZCytELPks+FjKPO760yisDunGT cdDmAQKIpqWhsMMrfnLLxgmZ88bBcjYr6xjdvO9Br/JEvP1xteLuGYsblwkLYuhHPzyUVkKnZ88t d377JG2xMyLuaL2wfSxSZU01+ftbwLrtJpvkC2kPdM+gp4eB0brcPI4Cv/wLNtkUVuL8V+UcnmsP PAnlKoYuOVWSjDy9QCvQHrDgd06BmVhFLvfA0qx8IeKhWPrkqGxU492nhHxRRB6LQI1NynPDkmv6 9KbRdhBm9nz+4tTxSlZPhGPDeS2AVRRdbW89f4oppYLbVKx6JgTaMfmHyd8BSEoWDddKp34MsQDj ubYJ0/w+yolvDwYy2t2OP7WIigRhK9yYhgCKWqBoAfTWQ1IpJdwVu9PtBScYLRTpvfaRzibNQ+Pn wLl0Dyf61Krbzqn0M/lmJdiX1tGkGSiSj1NcJVrLLS6UDndn9brSwMQFmj4NR91t0/FfWGdMefjv qdfxu/E9cuS1fwjguvOvLSfGQ8QJBENrC1A6qyRN9cBPdyFcWXV2hvc9ZcCi2Uv4AY8YvxDNPbGZ CuRXNF/ELd2rUK+8/lX1lm8Ostu3898Vnor8hUfD1EZKY9wBO0N3BWIsXuLN0l8vibshBd5SdWta 9+muydnaYf5Uczx9pceUddVLr6Db2st229IERPGZrJvEnkGUAHVqaAm+EiIVzGOvnD3hxqvlvqML 5+lMDy3BZxjzbJH9WOd82/pglYvDTnO5fDu/qdN2HLAegkGHVolEgzyoMvwYcNDyQ0ryk20H2Gbq SaI/S3Ctkoe5mpNbs24N12FYboXYQ1KK7iDgBlBsuatp/x8blFDkJv4+GeSLJweL6CL0eV+WDURZ onOX+jjKYTc7RCn96Hv+eZIflg4tuUfA+zZAAtCHCpvAKcINm6m/1Jl/xmVauXmrqwDhxi3RNmXT ecLn3ASOAOvlrr9/Qe2ImsfQtSgbmoCoNtckTxuTWDycQQ6IRN8ZyTt96XdN6H6VHnS7HXDNujt2 vcoNZFfa6yi6LV1t6EmRpDCD5jNgSyfJZRlZLfkxkhtwxL7lP5kmUcPNqUmpJih0TRss6mZRZtPN kXbzxz6+/iD3d7b/S9VYw7fTsqGHi3jXtJ/i/mdVglH2ZD/iCVExRz8ABjo4uJHRMBJLgeCdi/ZD LP2afiNk8x+mJNFEbQGbzizjn2wccFlixaYIq0kKbbCyTRgKxx3G6piJIMZTBOoGvizGl+BEZyzW Qo7B/rcu3mhifXgbzvcdWtUYZwW01/HjcdmeW2pL+wwvlG1zBHtEHGrTzpEmjGTo7L5C19e0O0FM VJaw5PABm8d1DmMugzTW48UQuiOW35a+zrN7xelYJTvIlORajKutvyJTShsym7V+Mg73B/JbR/dZ eDq92YEF3ExDN1wZ6IrW+NYXNFKopg4RpVqxdcJjMUQbhzCGol4XpN29XaDZxT2FrmDLyum+eGBb FRg/gG2IlQXEh9iuXw8tmqHe/1aoTWhlsWTfsOJWhN3rjQp10K3lNGua/PqGH8Q+FF53Hrkr0BoQ VsnIGLS/mfjnNIpuHLKo9XzVS9Is1MFnlVPXycERJnVsN4GY+c2MhVHl65/XKn2CschStVHxaCdo p9FqadGD7EKL2mgdj945O2OH2YhHVYvDz0KzC3KIG7euuBUk5rIrGrNsi9eNBbpseWLYfgKMmr9e kJb6JPalDX8sbFYpAJMsu2nHWfmcN3MWviEDB6EsjlBtMGrsjCsikw2JlVu7sX/Je9aMKjW+5IKn SPwkeZSqDHiPIkv2p7AK52I1BRSziz5N5zHRa16EtJneTDe28YM/dF4QMYSqdIY0187fJ/sQq6S7 Q7V6cSwmyIUNHnZXrLmVs0Ud/BC93/wR0dj7Trd/ZimYW96Uo+Et73OK1d7gfgGZP4nnVgNALnDL JMGn3ph4IquGUAZLovuTxjMjEyLUKaoyLNl2lda+z+/WFbN7ZrAEmlmtfmX2BFx3Gt2W0rgL004Q M37sgYO/rNWqxQmecIIdJ/2KKf8Mcbec0Grjd/BNZA9ASUV17qYet5oRdoQeH09cj+srQUmOv7Et YvQ8mEkfKPWfn3RS6dxVGCDGNoso1BTyc8fRSyRJHzeJPn1XRRoRYrQouJ0gJmOEjsxIFRNm+/kO 8f/atOq1tjj0XX74rRJbU3tYiHB5d829cWolm/qIg69qRv6OGqpwOv6kDqze/jLd+XVEo5uP8uyL tcbnYZk3ZsX58OheO9RSInWebUJeDR532fVwUEQM3o+WfpYrlE4qIcfwplTFFa/gcggz+/IDjHwg DbPQC0yn4PGpMa5h5TN8lkUB5D2P3VT183D/tO0+EHJstmhf+hmIqHneEoTe+rmveYHMhNmSR/Qe sPIyW1EQanfwa50FIRTIVwZ3Qg28LCIgLBd8rq8TMUBeRayDevDsmpeKB2bNhxYRyq1w0QzR6krm g7WDr2o34aGMmkZfOuCwik+ykLxZoCvIpAZArCtae3rYmawgPqn3JvUM3q8PDZIR0JMT/76CBhsm pdINNRyQkClN2g5XHXui5txkJWc5zF1062euIJc6Sy5FDYrdbSRMZAiMSZyQo8KPCimve2siFb5l lT6228AAr7ojWF1ACRk9jGvl3Vyj3OKc+SvTF+OYHYm7wjylPXRyPGOF7nF1V0ksHJNLFx6/OeXN BB9LOK34wf4VVzezVF+etdfvye5K0WZsMIVtI4RqrFelaBNHOaJb8TNRmtcIOtDXNZ3FDmf5XdZl f/w1DvD9VdejCe9O09KKkX2EPNMhVGEz6KqcSrBTi1rhe01qBEOJI9sktloegCxb632Lhv9ftLM4 +AP5QaA58tfdobpWGYQitubVM3e9RbfqZiH86kaR8SWiV6Dtcpu7N6ynIrM1gjIwL9u/3fPu9hcN 47HA8bFIaYa7ir1ZCj+1R8yP6fGdLQQaRIywFyt4zzGvJ84afj3NeMKPu8JUsBEPYEq3wS2OHUfB g75UiN75z+wF00GGy1hlJ6GDWRkV/UAI5Ftrif3kTdQXUfymzSbjptmKPdD1o1mNaR5tkj+/ZOFL QrM0wdjUHW3Xv9mphJ39eaT/EgX3gu6ajrcJ+jF/Zth4/BMW3QPGv8GisRbA+fry9xdR80AurInR WF1T3JdmmvzOfXmijSJMQLfu5017twcCZTyLfGLtO5ST8UYmXUh0hmIEo91eZrw266sZNSdQ6ihv UQFt9tt3YX+8Fl7phRk2zQsWOJwsBjD52YAHJXzrfxVXFjltnDdbn56fiDyU1YgDHxn+cZKHS4Vd wqbQJL2URAuXZr2KzKwv49omikSnJAuCMv/l1vos8+vLvKisYgVlloyqctLywO1saAURVjeAr79S JjFqCz4FM4OV7dywhQW4sbiX6AaItx5SxMqUnw+6F+N0KGskEvh/fRF9PtOUag/lwNbpEEw93V3j SHhtqAuUsV8YNJoYqWcNjjwT+NL96CXH0pHeoxFItMUXUXWa4kkbLafARY8dX48hx5wo+M4xwWFg mikUPjkEclPdA2g6/r+JxPSMnb9MQToPzQg7ZSCEqJm6Wm0EvyqE+yQe9J6F6lbl0OwH2aEj12qA 8iU42GT1NG+kqD6aMPu+KUfUskaAsmHKvhIoFI4d8eE/ElUu90sN3/Wbp6VNn7nPSvi4tgt0G7lL muHA8QcKFOH3Yxk+RjYGdPJmgbsBxnPXkrU3ffwoIDqMowtU5o45iuzz+RVBLHjxc0HzQkOOBuFn zaYM/PS//rvDtdPpoFcmIURhfuYx9o5ORp/tEy8KHjJKGYT5jmwOO/HeDnxr5nWvuEePhhq5vTFj jHHYhaCTQCbIYeoF2+WDkBhfXDXvpUffvOgaQqg41cfbrIS9j9mJASY9jHR+CPFAgqcki+6RXAZR eCIUyA8QFjX2rs3dG9yroLFY0673f0InM5WkyFFySDp3y1Imp4WNNmiiQKH4B3OrAmlnnh9pzGOu 7hA3IsAopAze5whXyMhdpJqq2QpaEjpfQcnxeurbCwrjoX8eEbOPH2Tmyl3ZgY22Z7uLT1FBCE0t eG6VExKlT+rH5/FuW4zcvDEbl5KHJRxzl4S5sqQpxupoPKZ5mNYtYUygDujNJhUiMQKnixtKLs/i utpROZDyXroLUWdTPYYQMdBd8crvwJFfmMYEnyg/c3NIOzbp27DdL966EkWIC7rhbH3PPYBGuiAm OzobNP9YEqvNbguA5hZWP/NQDx7GrXxv+TTfhyNBu+uxAa6Etu7ygiIPUFnbHcTuuu61JUY6YjTe doNExv3mY3Pm0SEN71duhd2mhLRaiZty9M5a39dMeSPX9KJ63E5UzsABTykFFE5GZjdMk+RoKbMP Ni2pkvpskDMWTg3MUf98IWDNUpcrYJ8lDDUHMIGsSTDjwouV9OXUsmy+027NiZAaBfFkbOTKY3LB BvOYm8uaBqqyyshqn2FX7VfvPCn9y1uYrdhfk05goG9wZs6QiaH/3AxCKqzRaTf/s43SISZC3ySW BwmWyTDiKnBiF4AeZ5+3bQPJEmT1ou9WE2aNokRX4UBkM0+7WDj711EblNKjxj27uIs1iGe8LD2/ z6LXlFluJF8MSEvay7SaUXSbWT+F7nOFI6ZJ6uaiJE/j8IeZ00G8kdJILDftT8tPyEGXYZ1RcfxJ PgLdP0XMIDAwUaTZ4rXBgr5Zgv7j9SsZjLP8ZH//xy3X+sVeI2WiSRRa1qngyiytp3IeEUKE912m 6ZW9BDGI8WhFTg9sU0n4ITAqmhgUjDQQK7cRCVzdp7GEVQSGYyzTH9R0/zzPMB1xuZg/5B2dfcg1 zGjSUxJIIUSqXioKfPapaq0M+lRkO4rHGujrrH+4Nipr9ttXN7/8frs1x/4BagiafxkeWJenEdAO xJzzxaHuIoo2BX1CJzcLLKqyP7vYvwEsbr1E+wt0XVEBMIKKsvCqksQoWgpvKBm2f7Xs5OufWb7t OVaErrav7jx7+MuhnK1gOGigf1wZU86LfOxGABSbUC4oLS6F6HBLwi41UbiE03uzRmoZMdu7EReC ScVwEYeZgWwcqDOCtN5zSEBZ1QHK1tMc4dvtUQwLv2pejhkHps6EWVsWxakvaOJPQe1jQyAVa6Wy 2PnG5sjgFfviieiMc06V5IWX0tCD2CFntHnoTV1M2Zc6Q0ywrK5lJnfaXFYzWxHNBhicuyHAFpia Sb0rbmJSCwPrXYo8fMn/4IrLyGHolhqf7+hbVzQUSU5oCptoXyFQ5Lzw+wL0v4+6XuTkcXSwO/8T RYwN2TSWMnn/EmTaMhtTAlOnVqQq9roDnqj+aSQe7Zr5fQKKBlFAxWp/mN0vY4HCAqHw7EzjfAFP KDRZObCGPqZB+6I7quWMbLKPrxnaaJk9LVPPKt9n4G6UIth8SQl6P2dpObi7q74X4ZHbieVdMC+/ s2npN/z2X499iQO86dDKymqoXaFx9tuEIF9+Hb8lYhlidKeDHVFTrJ+Icfh3tKiTpveeFJRIIlP3 4APjIj15bg2g28yA/pwEYs2muqPmiue5FmQKSLfPwJf5JCFr+DgToXiKf4JX62/p3Ftz1Yu5f1GX ugSlx82FEe6JbZOk1NPrKDD651NrA3B04pdlMrc8Cwniq7MbMNpoFmPwpmzrlCGx6Y3Z5XsmH4Rc KtNGIcMZsaPFPc9oBDIVdyfQaRUNLuTLjKCI/sOzkiQeKEnDRJYdVGbMaDyMkWBXZySKOK9SB8tl GMBGJFa3dX3X1iTPd3Rr4EeZ4VN5obqHPGTXBvzM5wEr/dBnPEZZqhUWlJjy3mqeT5nL08DQKLOP 1gMB3FEJdOGmL3A4/yYS9IufhxJIdhcwbnLUGcGP+dd0FMnVtRHRzdc+KkG5Zk1PmrMqXbdoipa4 L/mH+OLWqhlQ2VQMb6N9zxikjld36Lu+JIcyescJ+gjWqfA6TVj3fZ9AYUFvfBf/m6KsfvxTP4Ie P+MNckAy2EX1IFRPDvmwU5NXdx6PFBQc8WNCdlcxakFqBQzyKw7Qm+PxC43nRB7W8Rge2prbU4fB mhb4MDGNcSCEk538hPSOy1w+mT5SD1v6jMgU/E+w6pQQvbCycEHydpa/1f8ScWduKgRY/UXSAcv9 6WUr33p1qql9Uz3XIg+mxkIRVKIJ+vynaYKwgGhc7LfMbcIMJdk3JRAcsJq/XNq4UD/wRc6U2XyQ PXNoKvMFxBrG1oac5VtajJtabeCehjvESB/AHlOqpHpnb1+9eXgcesfnDPrTOZAXNfdSFFZc6mTi psruCLcmgk5vhmvuykAyfWWTI4NZderSMF3j0/Vtr/h+Wm3OnS1Nd1/UCGx5S2NDwTFFOUY4Jj+x O0i8b+a8N4JYnMMrw9sgVs5wlLiFeC0E/YKOAT73W3UDsdBP76zZbfGRcRU4klVLo+A1pJgnQhvx wME1kUD91U1MEK9yw8IP+JAAEei+qYezcNfF4WUJnqQtv1tiwxvngzU8XquxCCFW/4sQzsUKJvXi 0QtwwDWDEKyDK0L4EQtfJVxi6D0xHAqM2ZPaHOcNsRoKmCbWnnrsEMXaS2zvkozjPRr/Cf2yEnsw JQ8IthD2h/ayoNPk1OuYY6vDsTK76iaY/XvQ6yZ1X/ctdxx6GUExqhx7We+ePg801mK4dWK6w8cP /Xnjc06VWVbDC6+Xh2OY4/vpTd597+M1yEmREJ9RpR//PI4bEiEbpXpzQsyvZyRhQbJnvhJ03427 S98vfIqW56VKisfqVlnkD6AYEOHjtUPaK1hlU8hUteSuffeUazqCGzKGAl0Okc9CIbxf2Vw6CRCq lzRTbvQoPAEVfO4ps5tbiGKVsQDvcDJDVyZx9XvZI2vA86ckEJjWyUCOl5cqMzeBFdhyrJylZ4En 0fOmFzoUPj+P8k+BaqVZ5ulFgPrX9TKRgeqSTBlMSzjLg1Pt+mGqm8lgityh6d/zkzn/8HtD1I2G /NhWYHepjMBRw53hveK8A74i42eiCRxK3XXD+hQKw6izI7G725ulH5werO5yyzCk2Cd54BqWIOx8 mY2tiSh3/fW47V4VQem12ddRrKsAOxPaHgRyC5k4hbwCgkQKrJSB3u2vmwPrHqiOANpU93mur6H8 WORzgzcXPibKmoDO6vt2f91vwMBLXBpRlFrbALnZNLUVIQoBHfZfShaF6LaW+jsVZPBJDpdvFAGz j4j43CCzLoZ+kEXE3TSbHgtg6jiuwTo2aj1rvVxgI+n5jdDWd9SnOj9zxqmDv0xhdH9DG21HKnlZ krE+c6xKF5VmTLK6oM56sAoiTEt24FcMNkEd/zD/UVhl68ayTLGSm33wxsDPvG5btAogKj/zx2HS f08hSYdtPDhsSBx7gjhO+HHxRP8Dh15JVrI5OoqFRXlsXzN4fuPEmqq297YqNXiCkZ547B3IIU3O JES8Cnj2SJ/72XaRddLrtg1m2ePS1jka/+3HvNXebQmBIDeAHhIkhAvU2uprmX00v3Uls59TX8ia MIwT99GDtYIyvmdNccrKNGzkirfLIEkxi2eKr3SCIWaBXvLy57/oZkIl0c5PvOvppwIpl5nDTnI2 5lGQEZIoMABWSs+y3SI1mS8GjIy1jCrUz4LVV2IbgPEmDjrAqRG8FFDYSBCGINvjFBJG6VyJLB1O zrzao1U9paiyvUzRlwyJfUDFQFB/r3cvj3ifDTU7QVh+KAiGREx5vgXMKQDBs7fmwd/JWIGXaVYy uoKYogoKwcyjFfsNaFArws5+bJmJAZRIy0dFVOuQkIhY5sQ9vyicNpJDzesOfjF80SrDphZse7RM UfISNWhA/NmTbJXshjZ45GiytNlImEg8oZLBQ9nfotDiK77qKWSMEWmcAkfevas03++UVZrc1QtT Hz5Ge51TJ/as16xxXAynJFGNgRegcKB21Yia6OFXNXcnXabX4kfAJQXDYwIob9C1IfYcS2qXhtLd tvwsMxrJf4ex3jYUO9Wss3YEVdK7uiPdnGPeiamyw1TZk3lSRHEZy6VjA48aTZX/7Nkh52UvgrOA GIRfJ/xcfA2sGnj8HUtSPNROwc5se+4mzB/4qznZ56v3HIIVqU63ZcHu/TtkF4r4MkEUsBmaaVnd WE5cUsxQ4YJWyQXmGEW+Tn8rNqzfEX1oNACTDbtdZ7FgMA+kiyzdoyEcDyJQT33LJUmeSrgv2r8/ qdViUOBRIx3YEXL5nzb8/mYCvPFGS668wxZrjRWVCgxMfstT4CpSOmTHR2zJuq0t95stcMcMEpYO veJlRD/XeKfrF+Ne/XkU6eadhYSM4vrF/aawKIs062nstGt2R153OCFkskM6Pr9K/wMJBZBwTMZT DQMTB3Yy4oX/0awdn/yNqQRVGPwSc8aMC+VuhyDpmul3FpHIp3jHpnmwATLqRbW52pQ/Ezcn4Wef 4HKuUXW8a6GU58tyVkvTexKoSrazl63f54a8h5MMEXgd7w4B7Nt2ZTvvhitkm2TbgYsNovs0K6oj 50FcKyTSR3YAwVjmaAc9GXiiWxcTpkXuAepDazDRq4yMjnECzpiVzVTCK6yUI9E/pyhFYfLugouY 2dmljD7baHAitY9k9vAbOHsBx97GQajnO8R3OqtipEiLllNnT2HZGVDN0wKrhoEnxyjHUtnsXnkM i5C4dm3KZKOdyk71Vhrqg0Ibs8nG2tbkuyF6UCyWcrTkhdJEKB6Bq7aiIUEhulsG+UYzf49RuO32 kw/I7NAcu70RQiANt7TxKM7K6KGCXNbVR2m6aJxrZ5rJULEGHaiziN8kNaWBhnA6xNVtfzHt67g8 Kf6uyvhNiTGBlGS+e42Rn6zxdLwHmRdUW6U0rWRom0WclCePo06GZ4iOJh1v4YxifW62VnowELLW CXt64U/9hIzFt1HcafcBtGBKoAhZIvEqfVdWX83YUPSujrqE5SND3pZcOc2+t7hQ5K5vA5PDNgMA 8I4rIjgS209mb7PHkfUpoQLZrvz4SX1KCx8IHiOgZuPkyQROBXjuhoWPgIkKpNcLKDP+XlwLPc2p GYIhg0XX8jA60j8gyrgNQ8B/5rf/spcNAeEFdq/CZVaeE1BIn2yYv6ylzv8FfKrTzftJMytpI+ZY 9zxAg+1ksvbEwv7zp1tvKdxa/6UUQGFNiXHjBTUaNu4m4GFpK/zKCnjd4XilVpWM8i3/gvxwtJxM PrmTi7PTXR5NeD0NgPBYmVNEHC+nloD3cp3xL5GDD5eeszvIBPSgYfGrx61Xs2kQpCW5+Mr7Z7ok WyNjBUjMr6wFFbmtgTyzd5xEjAWU6SwNdwCLG2JVhDgGoCLn2TuAbr0+qyNHVSwBEbm52rwfDRan yHnWWbky5jrr4uAIyC1rdeZ4jYuvedFCXogm+FFzCRyv0I2gZq1tjqPFo/UUWhAC9XZbLH5W/rhM lFtICdRR1DStQxC9ZWS3Kg8adLEA4Fmqol6V5yETTWzNfkKHLxFvWFwFlwy7yQosHZv9gAXfcDsT kDfKVwndnvojbEht82Xad6XDjTBODhdpGYZ1I1yKwv3Iy7UsRKvZDznLz5j3wPeTIt0e4yjHTJ3C hGWatxcU+XNjfM6htAvX+yQYLT9JuuTYWjx8W8jneXZ3gW6YXAScwbeUIii2TiZnPyd8RvoWkshj rvAVXHOpFdQ2Agi4OCnsdm7k2as/pcRpjMmuCZxOh9xupFU5c5X9QFE7iV1hIj9vFLp6L7HptDbe iV1ubtS9hTnlRxYRcdL83oppjbrKAYYNHK4J2PvPwMDYNgocASkoydgYjhgqaxKtA5GN7ouZ0dVJ OfdoRItoWZw2wFwhl8jjQygWIvCUF+yZbQeNnk2KA8Thw25u0qKTA8uJDTR+wMtLHD5FHyUkdTTA Tia7I1bZ/sI0uAXp5dWT9CqZwMMv7dz4HMs9xESQ+FTdCFNC50XYlPv2EKHHdAwyyhPreoCNf7hV h5RtepEPqVqNZYNyKxlLibrDLIAaWTYaW3kMFKe6QjNYjTsmTZa2YTYfsbmDaKlC+d6r4wkZApDw bixqPs8COmYJu3pF9d3frec/md0FdxoZ9t8rdlZk2Y+hRul42D3HBsuIzIVpT8FoiwJfhGPBsBqw +eJRolmxwiR+FSuCTtowD+tvC7cAU3BZI+L4ZIqxfKwWP0KolTwJFZLX+HOqxurYn+/bGAijJBuL VjH7sXCjO458uxNqLA8RE8KsdQWVge0grU9SZJ5zgyWU8fepwe9mn4uA+1n6IfYNt48bTfQSQ5uu 7JKitGjN2WEg8bA4LIe0POGJk8Ox5om2J1iBfw5zttcBzzR0DV6F+MgRbFvHDO1Mp4JcKjM4Q6ZC nJztKMiVuBWCAr6sWst+OwFCgTKDkHOnhPZDzOhWKO1QFnF0vuq5c5lASQy7Zj/zXTTXEIWr8T2A HQsJ4gfwC2URoD5JD3L3+8kYcR2gCUiHV8oq4S4+12HGPT86UJXw+92epCFwvVnYJS1BLrBuOztG fe4LzjgRHfIm+cnxcu3dZFuYg6zFy/tcQqMttMLvg7CNv6ER94xhGozvSP95Olq9zDQ5ooMjoxUJ PWiYh7smtQ8Z9GJZc5ZT4lo+wVhWpuYaS+f+8gGDL7I9DBwaNaQHfUuJTLLOJyiBcljceZM+XAQz X14aa9H09DtzfQ03Vus5ml6g15ZNKPXJa7+KfjkaE7uTknl0eDnlrBjRFG4jxQdHJhiOWBq34q9H xqGP/KwCjKbtXrFFGuhtOpuF0aJMomZpLyIi7a0lMdnP1Amv3PGaWqaBAp7XOLl4oZ4uy8TGbvv5 SFIcALX9K6pb3HFZ+g+6ve0d7W5GLlr9EVUrooaCqkHx5gjurPNgHtbgR3+JjBv39aZWOM1iYLu3 he62v9H6yR+uUAPS35IswYvyqjr+5JtAXNor6wIVr3tGwn3o8AM862ToxyC36Mh5cKLWDZiyqldE LCFHPBme/kK6kfYXHBARFwmEFgFhSOh8VYoOXSOpIwZt4Scc4OKB7yFPIIOpmP3R `protect end_protected
mit
HighlandersFRC/fpga
led_string/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/fifo_generator_v11_0/builtin/builtin_extdepth.vhd
19
80613
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block Jjl8vAn2UJruW+pwbvMAIo6yT6bQgTl9+ZqbT+VaAP/dcMa9HxI5w52bG1uOMJkKjbI3shaTb5QH +WA4TEmwBA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block jY7USlQiP9PR+LALAEYZsrKak9VnF4tfhT9SQb5jLUPXs+eC5ZbIVQkPjdV+4wzhB7b7ai6shnHa gEu6kUZZsMTRIotEQn7SVZESTAIMCGAU4lDLU7RT30ySc+gN3y2heOoScYVxVF3kYNcbErB9g4iU iZLVkq3ZU0fP1VLA30w= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block W97r968B0QPwlTs1emSg8mtee0qHNpQ+/n5wfXS0R66Akqy90VsNXhnqLJjbnGJNqaGSMTKCRNVS ox1Z0rkuemlJn0dMgZtmRgHM/NeyMTSbsBwVvTSeFdA56k6PzciIIQ1S8150Bxbexnd+b7l/UMK+ JO8+KzzHPEIPqou3srZGn9dog9HSSfTUIqvBgloCeGmDxxwlsFwQ2VsrffuE8mB5Kk9lHG/A3rMw tbJURgYaS/b69KLL9Kc/urEgbRWHU1HQCQDL4hSKE79WXE68MZJ00kcWMfNfAOR1zytQecSerjXJ iVVvnEzEtzUejpnuhHCRhS+b62dMTzf5a1Q4Dw== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block l6IXa1kcvqxcIuqXI9bELoLDvGs5XxFfhbXxOKBitloxuDBS5IYgW7AXksTedGB5rM+6jbAr+PVa 4ykVDtx+9n1RZQ3HKQZNsRywuW0+Fcm/MhmC5isxnEClP56JmzAEyD9l7nmy9JJJI11qQTy86iSs hkUJMmO3Ph4Kz8ptLn0= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block gEbAM0PoYz0kTXyuDtZRhRtQJeO0ezbVNuHzWd2Q6Djxe3WZnx453sNsfBBqykQPTu/zHrWi/wfe VIPTt4c20XjDHHTidMXhf5YGMYpytIjNmzV4g6PhJehJgJTQj+T/bAmaDaXLcqMDTjUNont0w58X XTjVYtxQgjqcVftNf5PS5GCVpRxSTsKbT4CfmHhBwwsNC5rLtE2tRCpmB6tKw/7xf8VLLD8a23zt cVvVNX0bw3bWCGFmWZjC/1fhYI19WFrjQO9Y/0zq8T/b6JCoxXV2HE4Z2dJ8uXvV5GV8EStC7VCB DhBS/R4IfNLPojIIJPxvrbzkKlmuEkhgwflRRQ== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 57936) `protect data_block WFEAIJQPdBjKDRJG18vAcLFd/8GY41Ej3Xjgf2FPbB74LGoSUViiPyCMiUX3CA/V0u1ze5GFPioF CtRZc9HYAdUdgNz7rGArReH1aT02mTSkW9ZmCxpKH+ADhUm4Yln0wrNt2O4urS0mH9hw7HS/3OXs rL1Ty9WlE32i6iaJu3tTCzIuxYf9ZnuM5WLniUuxtlKb4hEtlCnGbky+uhNaa7Gb8iIHb81zFhW2 5nQNKSN6On4CWpq/kPYk3odWsOszozdnFkDSKefYc6SyamZdidMbdrsHS4IsQ7Zdyo3H2pLjh6d3 Ku2UeOLg5YrQY+T0fFusFz5BmctTziKtbrM/fSTRTfdTCTPqioED1eJ7uF2J1gfU8faOLy76Uov1 2erJ/pb//9ypMrM2w1VLiDJiGOJHLO6GSuAST86c8f+K1o3EGTk4ZMqXSsMMBFnxVUZFdSjhZvks yIAnFFIjZrWfRYqpdmK2257kZ+uYuBmopLrFlFG0/QB9z97O1bcken85MZJEftyaejLu5olek47e U4XnF2+YHVpoaTJxQR7+tVM63smG36t0xj2mzP63KWLBHOrAZzL6ZAMFBfbGJ2PQiVdsqgogLqrm EdGf3ugVUW6wk8bi4vyx03XE0M0v941LgpyJiyxEb8VgUWG+KNvpkHP6FpAa7fSx9gAASVKIOiEk kmRG1+zYDL0hS4xqKAeJYWDpzoeCd+uXiEV+d5nekcX28XkJpDqU6LEPPkqny1Dc0OK1VJlakcFl kf6nCHzhe05C98qX1KBKgdDZkWWUF+ZamkqEaEvjtlFVHfgf/vA3d+k/d7AnLkus6ztwsx5i8Umq WkrhnL0hz+gyi6ldo9xxKUBV2XJEwSXDtvrUMOnxA0l593Dj7J9Gm4ejyp+tZ6E5kZONjjH0VXtS GpO2Ejertw0E/OPZWcH7suMWqyZBLAlTZqD5F9GF4UqSH1+94f5e+m60p4v42pbCJ+1NwbJdUQXx n5eQ6FkLR9PhDloieQgFHfTQMCLYrHAPbGs1maoUXWZjtU5sfQjA1wNIFpblFMGkSBk0K4fkMc7J bk53wJWJ9C5K2s+cJLiG8AAVIyax64Ijw9cv8S7pymEWScIoVxeu26ol5EgvilCmCZkYGh6lQPMP NpiRFObd0S5yiX6F8sLxSlaC7dx1HITtR4w0RMt+f7yyCNInnuAf4UenlHOZ3rTDcJg42dOqqDXH 1KsvLBCKKrNWTr/pDwJrBxzYLiM8OyhTVNxb+XdLNpzr8JNLvWw6tCG/dt6fPutsJl1kLYbDnBXK FpRrDz4861lHqS1fNdiRLuIEAgA1QbCJyeIuBt3wq7D7BdYhfrdYXVIoXL7MQJW7ZYKjnJxVhlmJ 8czqJvCuEvvtfsaSnfeZBeoU2ESAb0zPn6EvNGlqETBEYhtEzRTBEgL05BlbY+8Kxpc/8twP2Js7 0flgJyBi5WTvbo984uW2a3oB8pUBgJPyHayT1ch+A7AylI4AtpHpcbb8mXRE3rWpvqE+zClry6f/ X4qMh3zSTU2fruuYu221H9uTLc/dlefdknHDgMRFw2gu+gl9sKSf9E/Ql1Pt8nxA7U3Z556SxphE KeyZxhmohaIH/sN0oQfpUKW0ltOFSmJWvva7xkTOJxgTEZqkWbjf1pK1CCoav8XUCavIKaoci1WA hUlSUR3JC9pQ24fW4w1aDCEIvlo+Ve1TWNL/4hRuyXs8v5DrE/LA+jLIp0vrjU+VwV4qgOgz15FX 5i7vi60Jqid5+AvXVYUNjaI6x67ZP9xK2wvKY0sefU6zrkWM/Qz+PGxGyXIXylK1u/Q7d1Mbt40s QGrjr13eC1fHpXUpTMYWTTH0SS6qbVqqXeqtP+aZOXT2Rp0UlzVjdb6pxYBr3VcZVI48y4+rsfV1 d3/WvwSZPLqjMowf68e1BMOb++UpAOTertAyM6YBHurjOmHMsVPlcQMCjkY7/A+AIqEDc2ZvXG5A o4a/AknPswVrHGdTrH6tbRkHBfNz0Xlfw4MW2n4Vk14eapqybnXFR2HOO6gCG3PP6nyoh4yVJyGC zIFMCoOWxOixGhoZhjsXyXK9THM93Et1tl8LprYZDgSwYT8Xf6Hm7vHUtgT+HnuvXTPWTnQJGctH Xu6cz9Scjesikgk/JhkTFrutZaWrTsXn/VwGlJGEs0zWnSadQDH8nVY6EaJ3nq0/dGxXNtTexY+J mAm2awwxcoOkBo8AWNPSLOoiIJnyfCbAf8gQEDe4A7b6aTgC2BNkSEZqBVhBbxqzx2Q2iCSizQXA 2YxLHVw/LLy2y3tEO99VGQb98B7d/uOme2xEY9JxM2qT3M7WW2jMD1V1jgu1QLaajURzjytRARft jpCa95TsIWpWDt4IF3je/WllyorQ5FoK68L3mbFys/Fb1x/8apxIVjoHBzcKTi2eYFkJoVxFnqDB X4PhpGxhDRe2VT8yxJ9ewCwyVDAhQKa2pAFC49G5sCYpGLdNPzEhC3XcWAu8ApHByeP4kbHILt0h T9/WjguaZ4NRA/fAO21ZcStfePaVIrP/Ca2iPKfA7M8IAt9zNYJZPiFhoIxddkoylojb/yyyeXcM dOJ9bE2jiP+GCtuQyT5dYgyThNChaebevXcWGZe5IYYiIoPuJhkMEw9LT8NsZtuhy1KZzfO/ykry RpMl0qr/pHVKzS6TyfRve5d4sHLhuMDvt5P9QfHBfFn61wQOglnEPMIMiK5+7wRNFRPyw3J2CCaX jwFROSZr959euTOltz6jKslhriocEYAlNqRZ4fKZ+btsEDJ+YpGydI2//XQZFz+x+oK3w4NkWrhK 0FtkadL5zHWSMnm9fxFGGxxQyKu9qwEh2xrLA06kVLvIOA04UIoYSjx5a0ykL7gn46WMCGwA9NGy HOOcZqluInTkhqoonnZBXHcZirg2JP5i2Hjojk4FHQq566uGHjfSKVVz1+89jlrER4YV2W8T9uI/ X0OX+xxwV+eWUkjWUjGFrF4i6Xmc01Ic+gS2Ek7DUIZa8bd+WejQFPKf6Rprjc++rfuLLfjShPFB 9wKxYTiRcmfhGlkBMHyKnPrPBoA7Ney9J88ToOh6GRtbWh3XPaV4a/zeOTxj3Cw+AgdoWUtbBGh9 fF6sCFQD6DaiSK4ofPzdgQtdWx58RsRX1DKCzFxXZmUcQjAYTd0Z5XIq/XuzHAuhjNOpO++Ih0rZ 6yB/5qe74aFVBj9w2N0XtboA9Nl40s7VbKjz0CTmAP4bCoA3nOPYAxt6leA3FnBFoXfpoeZlq6pQ ctqD/fJ1I1hb2vGUTWH+dbmm+iGYCQtmDk+bazpxqoOkiZ1wTwoXyoHjz83fKqKHHsCSptVfTYtY D9V9WnSJ8ZrJfU02k8BelM/Dr8TAGx3PKYcrBKwhE3Wq8h2oWFqtLfac8irxbx+Tc3PRz2Jt29hD f2XP1zKs4jIxAej9+KRrKfwHfq8exN8HmZV32Q6083fK0NaoXpTZiICxicFqezrFTEwTNI2XkvtR au4pQ4JbqcHes2Pln/JJPgXBSMnrUZBLWEUGvF3fqFM682uO5CAl1MEsyK/gARuZopfuJ6oWpuXs /BhLzmSQxbUJS6u4+dTirmv9TXcW3p2Ww6LmSP/GkfKQWO/Fm/Aak5edN9hqN7Pdy7ip6vpJ8S3K upttJtDv41d6wjWj1KTDASHXQo7KtL7inVLUChExv0Z7IbwktJ/+Q/+mIzyZNCXUiM8TROw7BSzY l2JCMOCnSFeMkFuT0wLusTxdwwjcguQFE+Z2FNgNzjRxiVZtMZfyNY9xnwysJzQizQkL4sGRGFpa MUYU2ATzpfkuealpLKZfjeVBOMGwx9WS/OC2W/Rp0JI8fA+UD0A12G4zWIrFBs1RvmRQ5rZYPb1W mOi1usfH+lW3Y++msZxRVGqs10zqXJ89w8euHXjTh5HVEJcsUHkqbwvtgsDJU+WLKT1e3T+IV4Uh KGcTk+KOKDvb7S2g3pTYIde1LgVPWO5dBw0LOyA5DCTIj6qeCmHNhqKOQmdvOwkYte90VQ61Q2j+ yxiLJpoadgGK8puwXBTH1y4QweduHDYtpW+b7DtREuwVJJbMIwnHgr+5QO5qB+C2B1/vtot/T3cL +EAG7sEMHGUAschA89EwOKpLByH7gJ/WB5wlwem/V+/WkRTTIcPrGYxqa7KFidU65qoWnpiFz9Y1 z0bnIG4VSGn6ID46ompJGMecvk2MI4cfFfjpZTJ8jVw2PLrodPB8o7aCwI2DH5EH23fH/DAKK7vE 3GRj3w2zHjivbN50HeCn91iKHK6TBLC+SGr/cqoteePivhwu8PQLkzi+APv/uIUBlayGcF2oHYHK tNu5Zt8miedndemeCd8x2pzuAAf/CmxhFRJJQqYtu4LkPKXoMqPeBFVGptsay4b3PkrCpsjiwuow SWMSEa7izGDAoUFyhG4x7tQ2qR7yyJQx2m8dySaewMQju5DROmwFkgDKUoFzxR11QejjeEUuNSlf nHZuP8FxVfxAg5dZegjKvIu753Qgo+12d8Hx5Gq6HE8L0T+AvkH6VjPmOj4TysT3xGPlcVGESUuL 0ex3f89onOgYK8Cg0A6K2KNRkoqktQesgj72FHXWJkdd1c3jZUuz118aSXimVlT4cGBToBmuoBBk Kb/dlbY4W+Jh3x1koZhjo6PyHcW5JAKeUk1IpEoJMqX13pGy40prolqmTtvuMST+/sNcrjMXBAUj WKCQltOvCGOSBqIuXdoDR+mNkMSOb1KGFYVF6Nl5LqoShOcZbInxyt3Lvfc98WqfHJtmfwFBFl4P wtFUaf0zWxtlxbH5FIunWGweY4ur1OlbTDdKvjkYagcHTO5MJsILVgVtYyykJjZPva6qNYwqVTLf qXBRm+QHKmCXiFJH7tMFF8eHe2cBRP1rXPH1O9EFjULoPKQiQiI/iOLQ+XTrgsKj9migEqj2Po+S pYyueg2vlO9uS+njN0LGThkWMyDdJjXY9neJcMxhxstqh8VxfEG7Tg5HnPFETf3touMW41dSYfbU NtJY97cEa15dKaWOSxts2wNArd4Q6PhBPcdbzoFOFRA21kO/meO3mC0S1zLYzr3uA0crjYYfjEyr UMWPAq0PkaXcuFyj7TRBjk767SpsvZ5g/1nIOKxUOkgEyzhEayfg85Kykkv20bPJhwbMpW6Ne0s8 eQVfkFHfARJ1l4VBSyoDzHM+4oOPdCKjl/C/5T4eYSI4Zvhp4x+E2In5/pm77mZEjUaTCAgcH5p9 72vr5moP8rRdjMXTLt7MV6/los8anTdsKYcpZ2PenyvUnuaur4oykXKtjusRw2csvx4sEyjkB21G DsWePxn5Bpp52xdKatwD7WUP628hx9B4XXMYnNBS2AI0jBwZTD2XBptKO2QKrB55vGVvy3jACoIV eLxVeyYkZUifvaAiOMUCHddMhBuRJXvv9eG1ysaKBLaDdOoQ+1xJbK8RG2ePtSd6en+EkDVsHCwJ xeRmmc+PLi0i0cdcmPuWT+jrf6Y7Z3+imc1ibazx7ZDx3mgO6KTiAlR7X5Nyandg+EhxG2XLhUvp ZFgi7MZy6/DzMycZkAIz3qG/PC/20A1VSV9RClI2whwA1j3P50MP3HJ1jPCSbTX3qy5HgQwpznCj KuehSe6GlGI05M0m7hYJEKlhlEG8vdKRBon8aSkELLihBwPCbFHcqqjf62gJMFOaB3Hjr0qYbaoT b2mPVqSHb7QHNA9RC5EizkayW0nDXolbJ0HhAY3eBwZJrCCRqyjntljhxjQwWWQn2CEbB+pzvxTS GrYJMnHvL48iamxi4koUxbTE8qXg/V4ZKvmSfNYtkoTkjKfzuIplAb4hTNgOMRfUb2HLQfJ5l+9e gs2jQ+XG5qOMWTBc36Q7wL1fL0L/JxW17ddwM+cbAwo1y5IrcLaYrXKnO/gtAWl1KpSPPMXQtu/A LPdkqfFwiQr1vAM7KNRWGVSlaaXoNFojelPhPu1IuX2B2JeHRXC4rbZNxN0GkaWf0wLKfMZTW4ii c4Y5uCn+svJsewef/a7ckSo6FDTUDxYCY7Xf0hzgq+MHZTzdo29BaqJDdVVH9l37+bwx/6FzaYG4 AUQe18nd54a7/svkc5avS07rd5VTv52V5UtrZx4pxGyPtbRMDKS0WmKXCBdeqCtXyddvFmyVc9M/ cj9QWC5kOvaDlzxwLkJJ5xTmHFds4WVT0QrPQSvHjWjBTSEaSbqKds8LO5/XuMrswBm4fBigw5Xm pze453uNc6TzVsO8bUqW8qgho+4YC9LumFit/WjeklYTAu14jqR39QxMOJBkZVKou2Nk12nFxwCq b3OqJoXxsm5kJI2jjRvEvGEISL1ASmNzWV+gS2mLtR/X7LYT0DZyjWGTeDJJFECeeOaRrOajjbKA WXvTgWc/TKLf3J8p0muynG1nldFBuGtsMJwiQ+6A+gkM6oo+hHG1xIdaLH7LzCbvUBSgnJdEAflP P6J6kJk+9HRB+KSNszQd37MKbtfJKqI357RfXsFoo8tzUlF/UGkdMoIxoLPfZtoQTukOLKE0XjHR QdLz/iNBFtXHy4N34GDvSLoDqENFwuzYPeKZcwWdt6tVq+snBydjEAMAl5+zaPCbaSucqHhnYkw2 aanXl9JDxkiUxNOzryNAHS6FOFc+2QYgSL+jlgCDXoGMHsVZJrYDF0hHeknmgb/k7XCnDRtXX75T Z95ujU3EWlE1bcgNIBOunHP4CSezO4zfN8qOGBJingkbFZNP1BluiS1Pw0PhfqoXzmXrEHcQ3BF8 6xhWCh53ktEUfc+oQTJbMH/P6of2ng4RlDFI64fxHYP60AhNj/56cGqaKiVjk1r2V95uB/m/5Xea gRPNSkosrECs2Yuxvmj9xUj7l7N8vGtwUUE53Vnmd2lug95jKfi3EgnVCOsyInDFY3pBLhsB+7Vg glCi9KV5H/DrDbkxZYQfbHRBFudPbCIOKhaIuskqPZrdFMRkdXXcIuDPf6hPzIu0QgcQwEd0ErQl fqXv8GUIEvf6Zl+sHFEt0uTsIB0I5ARzWfT4NZr28gEMrk9J9jomH1BAC2VjtTH1m1yhM0iNKwKC y+dA3qGtDd1eVlmKfzoTCun7jHH0OUbhbNSqyBQWRhh+Rj5Anh4/PonC5ZiWwcRWdY9L2z9r/w96 FqaKa4zTUDuLobYAxRCAFCLMVRFaG76nCju2ATUcw17u8jKEOYyn3NsNWULrr37agSoLiS/BF0DR fN2wPWO2rr+DrUmii7xyCCgNwVKinDwaoOoyLbhN3vp2pxs5dGIoRZbVc3YDyaI4VFHmoe2APGgd Aam6e1PII0qvxLArekD5d4v2KFIh3fqoJesLzTqtwP1Z6bh4wHzE/kSaPh7iT+Fyzm1sNIeMQpMn aa6kv/QN+xefta+zyt3aT0OdxZTNqFa/+LgP7oB6YehPlb9mPpwKJYGh9Qct1s7TTYluEMBBlfap lf6/daObYj2pIzPeM1PaHrV2nAgafxzm/f+PLE1Q2kMRPSMV7NWTgQhVAhmmYOFprtO0YsJQ9GBT vgzUQQF2CrEBGZidF6C+BMl3VsWfk+t4apjZtiMhUe/lH/ziq+Q1CGm5xvlixI+q7ZWHhmsAMStd VppUv5mRAlpW/gGl+1DDmLKwbq6IymlGYb6Uw+eXkrDLLPrVeVlIdqkbAr3GV5xzxBhOIDjANDIo 4hHEGg86QQw5iVBN/6/YMs0l28lva+9LtbPTyHKGskJK4620ebG/bZ8XvW2PKW+AvPE6eXNHy1Mq JbFBPrbdqLdXvPspRZFU2DWxbmz7/XK1XVD7mbCzr6qtYSbilPq7daL1Z0/UuqHI38tm1WDDjrIQ 8LeQi4oPWLfxPnG9anXAyQRUx24iwdTyt5xkm7glEgiEbq08lY4yU9OI3baHyIGxQyjtydvg9EWu GS3qKk85bvs7mjs7f4NojmiLmtkkKDJFwIj4dLl9sFUzgV15C7M9ZJ1Z+b315mslkIiVIIVNeMej Cv+UkH43qzBNBDgfFI7Fe7MwYm2JdCEWrzcTiiAjWat4Z5+5z7JCCUWi3aoNDQ+xSRpV3j6eBUeO CyLl4xhjf3HfePXdGLJC4AcEiWr9LoRrI2lPQ5M8AycrcczbmqJInl9BRWZQgcyheOWKWduRq54i /tFy6Vu5uY0WVgKNW6Ut68pbX/CjiPQTFf+XdOfwoiH30y2/OBmld5XKV7S/ofOm36ybUbwhEd35 KyB4F9jkN1wKGCRr6TB7B3I/szNR99q5WSxHWcfq76PGaNRzPaSYLrU6qkQ70lKQ/j3VoHeTNpRH 5mCDMHj6OEqivMooj0JqYbMnIKNhT+Ewt3zMUDijBmffbSmE7GdXBpIizgaYWT6s1lbnyudAmFTj mjZBGPSRnJKhZyc0kNGiH9CEJ2GSbtzQV/RzTMmxx/WbN217Fx6Oll2wJ58ho7NDc7PpPjSkUybQ 9vmWWfQHqhH5bGyTz+5ZY7kavWpQWZfFnSb+17xDnjuT/bYyapOfxi5kOQrGD4JhSV5/mkFOmjiK LHj8fyHT2lZkIB7w/oK0nL0O/3cObRD6YavFcygq6kCnWPDMBM8fCQwMQc3mjwoUlq8qk13K+qOz D2Tax1bQV+vkYDO8tlEtR7+Es5KtU4DkRFeEMfJxgIFDvvjT+nc+fQFYVzp1JXnUKqNy61PpPYAH kQA6o4Ji2w8es3nNd7CWZhjT5ZhGfxFRWpActLapZrMzcK2VhqH2ZCEaLnSKNKIYriI9wnFEhYV9 W56mxOVGa4EC9riLn+ZUZNLLf1YMMeqYXCtZtsINos9t9/Q4heD0g8og/tnAFpuacON2/9Xnjehe fCX70l5A+H7DI/Z5cw03E2PuUugR1B/pqpIgbFz5ZH2WA+jDWeS4SDu33NEqbZJEJo1/XPuIjKVQ McDywhUubv70OQ2WQjGS0vUyPHvW7T9bPntwfdiHi5bEBeDNFAUFPm9U6Pp/nPIW+0Dz8H1+xmCA M5gq4vMBxzbEeWi8jhSWVOJ5SuUOYN/nbzuO3DjoyyAGjQxslzwCDgFQVg1gr3xpfdbvBzgfJJK+ BdvUqMa4HFVNbTltOE9yF0uT/93T4jfg6+T6EByUZe3E27DTKyWe/eSSVANIQ7JYCzCtqAp8Uc6j Q8DZVbGGEL9b03h1KjBFcAjykoRnnIupnn46QWz3GZqnP91s3qj/zex1QcEx2CwIEivm+iYth8Xf LQagM+pD9UkavMbKN/aD6qu1EB3d4tAJy3XrT76WfaSjGiafdprVzanbKGRL/sLvODgThfZN019m bAtfRS45HSEigjYenhltYFLRKxTqxr+G1C3rN5gp+IuSXyjaSWVBh7HxO8MDI6GR7XwvJX5FyXbb kwB3g7ztflXYqs00fLKwcjBPpOwHIH8abdrNWPnzXbOeCc+CNVr8DtUUrLgNBIM2kFP7z8Vpx8e/ uZZwbDy1vjP4bCWUEy+1GHz1+ALolE/bA7U+gE6XgB72hnCitw0EerU8SCpewpZ+PdLY4YUxQuQd nsWqbe0uK+/EyiTT21YUJV3Xvlz6KH2EPBytFRyFffJ9ZygUsBjZbWDD9xrWtpu9V+WEckPvdZQm lVfWmzlMEs9S1EDdnEo/anKzD9/rwWN2AEpe5lRVfUV/i6k4OfiCGKbSNewCbbkmJGHhYmuZE6Wn TG6mvw8BYaQVppPtgpPwQv80tclHH7YrWIREtPYsoHNO2IbpS705Xto/ClPbPP7drVKnC5itWnFG yvgus3Q60KA6X+FbtgBMJ4PE+11hbTNySTZVgZbB42cQSQCvzw2ciGGM/RS+3wE3Vfrn/LoJpB6F qhGrXjRrtbqz58vg2gSgH9T93J7poPhgY/3WYysUH8fRLqb4wFSjBK8ujMUxDxn12CoOtOxtP4ke /Dl2NGmhd6z/8o004qdVj/UfCUm/ie9++Vzv9WQW3oPjhgyxQR2YZzJPD18+mqe7m80zeYni+PZj zvW3DqvJBxCw0nY4FhaqGg0s16C+kYToI2x8odUpRGAM7vkOLyOKhqoPPfmbgcgTjibM4HQo3Ek9 xmpCR9Uo0Xv/47L0mOSfBj6RRpnx/S3/Lt/6XYZm3gSGi4wwwlzjvUs3u4GIZnpVWHASGdXIIKlX dYUnxp61mjaHCy/DV/7tkKZd9uP5GXKzJMDCLunt53mwm6fbNKBNwDcWvyOtHZcdNt2r8xo/BHZq LPgL3JLsuYLQAmFOSBIj4NdGYQ8Mw4vRWS2+g5gNkIc/cfByavwKWMawwxpSywWWYGTYfhT/5A8t Bhf0EYS5NOg8GnSHsGfoTbRVERCD/o90YstA3TQ0qXhd7VzuUN5cLPNNbH8fHp7D/HVUROGdBq1h Kqe2yDJmGyn+Y5AhMY8tASZ7YwNz5XDXijkswFsUwms2UDfJM8U+s79RkrhYxeDywnEvDSjllQDv pgzd2CMMVHWNEO67U+VCeODiOfz0EgQ6CDTeCn2K1CGMDg8OxWkKwru82yAynql/WHFwCXmtSvWN +1Fjz+G7dfSFif3qsBfHR5rspbHYdbLilfiGHX4QiaR+Bt8D5XZrnk7leqLdYv0IclORodvw6pXD RgvPu3VvmLWBayQd7KQiT+dV+Wovj6kHJaI/YezbYAi5ydhkrcJLgeMpntrUE+Jed0itefxoNlDG mNUeYg5f+xK8QFnoTmuYGtW3rh7TI+DNQzGo6Epp8AwgShNqmKf0QXWCvEIN50GkHlw7mK1bObAf aT3UN6EgVJ7qAB/8z2ym8JYr6nvBKKQ1hoMYxQiAAzksbTtZ19F+aenDT1DxMyPG9n1NMFaqTFmw rtH62IDlANEoas8K7KO29YFp8c2fUc2+tJe8xtOKT2hF3zHw4ReXw8htzCYK/8KQuF4Ve3KwuItT TjxUUwQSiCqFp+ANTXySXjeFVW8WaeIlWO/c6M6c/uw3ECxs9RNlmAuEBhzgw6LZVAX++mOz7BLr K81hSeFqWo/jDapCJXBHT3O4wjjP29NdOvT30tGBGqjB0LJ2nPlPMMCRzoJw7fUn23GRHyf23nnl zoeq11QFwa/IruMJwxE+gXfE33Qu8FMM4NnCy67PWUgXfiXoIgYrUUXP5uNI6aSe/YFlxRcRRBJV 39q8Tn28/8HefEPjRsqzoP4vZZ0wrjq9btL/jCtXRhqpbVaXlR2V3sr9FtNUvCv5l8XqcrY2ju/Z f8c3puwDhFojti8gUWU0fSILbF+IF0i1304XhTBYO58GyiDmEUhn08uhd0UG57MUgRsUy1VubU9K YZoyNIss/1WbiFC6qBq/iscpgVbwsHJkAOjsU9y65L/uVxyCpDIPza1jb//1rzJbeCP45F6LQwQs CpCVZnradz4Vvb9Ja/ej33gn8SjmwdnHodK2Yqc5b9q9bfPlOIesEkp4OAUX6MAWghVyR/6Ovrpd lFl7j26ye4CeIRzDIO2DY9uwK+78kUR1cMKWmEE0wNyLCd97X3mu9BlkMIEWg5tx+YdSxDxLbJAz vaitqpjMhxIopWfC/FGoqgr0Li0x3ylw71in+3pmO4NIrX+R2SBfaydCv6PKdF14tXqXwU8tud9x LsP2vZ+SUIMby3YBEO7j7jMcozcYmZKgX406tlkBzDQlH9Ui+iSa/eLiZ1pDfn2vJnXWYDq8INCK 0QMsfzuqdnohorbtWMVrO5rav8+8Dj4Oc/Gsw2UiqBX6groGA8HbKBQVpfRtc51CDi/VdDL9Bmh8 +2SE1/DXJ3ZfFpOLbd1TePKfmTWiNotguWolBdSERVDBJWTptLL3ZEzy8E3P4BW6tWHrCFq6R88H ob0NrTbTn2W9ft2+MvTh8czXY7Lzz5kNB9Wo5SeGs3uEA+fr3CKJOtSKQ1eACQvM0IPCqYKfWFEB vu8IzecoUhvo025LFj9OEixUZsZhde8OR3RRd/9QhhgKHbarCw0oEFAtRwcGqHz5h3mICGYkmfNM HDCqI/ZWSCvD4wTKNvnpGuglqLubDApdO6otxj8o+JhJikvl/IFxh4vfgaXTiRoLM4myMiZ1R+FG yOljO9vNSCY5XpkT7D/jm7tsvEqsX/s5AoVP4WzzwIm9vZBPUYCsxMjhrXEs3nRJPiw8XNcSnG4i y1CP7e9ZL5HeVbchBn2H5NnshOiqQU64U+EJmK5Bz9OnIffzXl8xICglVlU7F1ws/n4H0SXDd4hK Ut1eATRnvCgKSkthQgylcXXfcXJA0VcLALsGTDGu/i3ENSYDAOAugiDtM4gC7lh+8326rUxZHELq mJtBwcGsXXU4IaChH1cQjE97W/aHNwuIDImbO2N4Fqb1R3vQhyaR0lBP9jaM5UzRSun2RmzPhOpr h0wdC8oxIVLtOOqh5vdnil1+fG1+8SSoqA7MiFIJvYp7s0fEf8mNGhwWl6bW8tOEQXOHlSIrzqvi JXIoFZmcOy6VWRpASSsY6608vDguI30L5KfJusSRQ871R5xqYUnHMrCfPHIheOxVmc6n/9HiaA5T MaHXPxeLDd5GnuHgCDEd99KIOFblD+T9N2yMbhHeMVlMw29pXR2YSppt/6REsYMKv7qkv0iN/s2m y2/P1Lg0QCdReMY/+/4Y1sgbT/w1hg3ZPRuo/BlQbwiYl70syaJtlr8zO/Bqf6w/kKka0ToUpo10 nneULhTmbPvOLhjbJWPS3oem+6WZaUOBYzVln9iaHOXcp1sy8ACfJRQ1j1Xc4G/4UYdj8Fm2hX7F dafBOxoJnPP2gc3yZTl9F+L01wCFEDExGAzFCadFgjtfEA/TD+2eu+JJqojds+g5ZUH0pjxGmumB EN3IVH7YmVWKM0CMz1QrAOfDWK9+uHAfwVreYnSw2lIgZ+W16EK0Ga7X4J/5r2XpDWeQdWwWqXbs DbN4rAky8yWWtyRSjowZdA2/tI5PJ9+WjTQ+m9JWlXrkSqlaEB2ZBq8bC5HZ/0bGoMXIM0wG6u46 b0CIgaSTqPgjvO7+RRLpr83uOedHDCEc7+ZuJl7M2f5e96/t4QtPyW7/sQU/hnqASlAKXECMchtU vDBE42IrXysBGFqspu5+x6uE5aYy91novQ4R6d7InaLR/zWy5V94M880gic2pChln6ufZQVl6n6v ae23Lew5yN/ecUFtBjev/TmsLoj6oX7/m8jT4b05O7v/CVMuBwMC90U/d0FgypV8bArtPGMN4dvh 0LbEI+Zz8KjLxQ9Zz4a2RgZ5btGvhIEl7M7jCqciFietQJqNti0fT6VtL0c/x6/VdCwbLXmaxTNR EJeolTNWMmSR8wNuxY6Gll9NLYDpUwDOhG5WIoIc3k6HMlhUiYLcFsVlN8UfyGTw92XSYdQD3ONz HGaI28/dLqTv4PSwleXpUcXQhLitzllMCBw/7fWKa+glIybY7a7Ri6R6YbJaruaBgqxsYYUMCRu9 bXWVliYEqHlKHgHH+5fG6DvskQlJ96f1y12K7PwDddgiZGHzzjMEt3wUBEDR9Hjt+SK4jA5sUP96 rtqiFFcv2ozXUPt/0q8zVAj5ACVRXIr0kVHjjphfLc5CPY2y+pAV4n3hEYx4KD6bFOBVeu2Wo7i7 QV/IHsPkbQbvOmo3o7Zg96q2rypxfvEZZ/tfJ6zLvoNTypmTCw7YNL9yDwHkJR8Nv8kp2rfqC4vo QTmmhEL4TM1nyNoXLTGu+PctfoCL8ib5SXt4MNlWxl4E2wMWhPvnjlV+s592k6ldFCPwuh6lET20 PM9nCAk5bPgz4swV8aTJ2X9F2+54T3OlPODgVDhM3wfV3XtxZYQRX6b9ZDHmQlO6GpmYOL7OCR0C 6H45i2lBY1EZtw00R99L6pCi7WSTfRCUFYzDeqjRcibuWu/XJHoxeyM7Ew++Aa4asb5oxqRI1UE6 0fl5Vol6vRnDRUbS/vDyaomke+4IlOjEI2TFb7vM/3BFnUCo9121SKGV6AibPDLtypSVShKrndOC XQjP/LOdwe+7Q32SyzdNVBuV45OWpZ8tTSlOjO/H7iUC1bKFkYQN3j4gMJCU1w/UZDqedEtCTaeT +deABiC356m/7cz1HSt8ClNEwrXm6UwYmqW9Y94XNa21n8A/pIc3kDmMQANNmSIsNVfwHqdm2l/U 2Ra3QX+qwOsmqAPTBWIWxuvLxPbbqcpY76e9e6M3jM+kYIam0m3AxNXoE8JsC4V0h6gh2N027FkB SqTOr4H3bunGta4TTLtX0Ji7pNDs3rBpRFcPVyg7ctx79VcCxnbBmmg+KOr2y8zsr8nKeftNR771 AvqN/1LIUByRFA6SSd0CuAlTNlf3+wICtXMSYI/Z8m+gFkIycNzE1DWr8hUWz4S7sxfDatAnM5Pa hAxk0namAkr16Ss52R+HMmkOiWVYC1XVXb1kHBMhMnsmgFJ9QbZVtFEaCIcg4dCzibSeVprleadE b0t9RZHoVplbHGkZBwR2ifEElzFG/NtMDL4pzBOWjKpCwBx+iFfmCRddGUtg+BC+e2j7su8QfbY1 Cng7P5XsTqdj/gNQe4vVvHdBRyWvY6UHMax+srkv0D6FBy3KNaVb8mzSKWwpG9WN1KdE7/18R4DD fyMYbTgrmpE7ytEPUB9G/KsEK1xFqb8yYedecgK8aF4CXJrXWJg2wF6LGQye8MNr2qdJY/ZozCpu sKnjnLPaV/NrgoByz69VIl+hJZHiZDKwIw6QLZXzIC3Hd1Ch1sjVyM80SD4AaVnzCXIuk1OIEWMs mvqNiCPQtQRdjIXXmliqA76frLx9mlmVCE/OOs4hrgHTuty9a4YXuB4EREQzHIUMEZsB4aKqb+19 A/bMgJ1OIW6kJit9yi6fny6ZasuFgl1AQdJ3LB/Rc1TgsxMmi4VATb5Z/vDPbmG2yG6omWpvymiJ CYWo5l5/xZ63ffC3EX1OnOO+L7786bLfBT1U+ai6lKwHzbRCu/d+oCTfIyXKp3WLw9BK8VrHZd91 tLTz5rcGYgIaIqiNFsLsmuBY2YcY1UBkZ/84xwXwmqWdQxrHZUC7xNsphTDNPGfpPD++gunvtOek OBPjvBO+6joGRqvaKD35zF2PKcRZu+0Kx9/xyIaDebWP3Div2I9R8SctxnG/Jb/khyAaVQUOVGs9 aRtzhtQAxlzqQw8345SDjxo8xmp1n0P0YtIB/0A+a9uJweGrTCa4sTBjbtT9587m9uwXwzIzKwS/ GsJOQsN4ju/xnUxlFMROSxjj/T+LH1dDivlBtZSffrA8lnmRQExfBiuAHcJFJgyHvAyqCmSMxyWf zksuO18lRMOEC8gzbtkwLZxxmVBpDPx6wm50UfkA6if3myeaVLrHF00hcRKi7Z1COs2nQpGTvuFq GuctU1aLK5vbBTTjRx36ELWLY/Itw+fA2AFo+j6Zy2s4O62NwoLoBSybw2s43rHkKfh0iWSuMZ3M fI0+14iN90AioZJPUsSkKQ5JQ58kXq2neLnye3pbCluIJE5uuSLR3ZCWvh20WUi51qSjDTevXSpe mCtsCU2EOFnPPLbjz1FbAY/JTvQ1sKUmrzQF8Pn5qxKj7B9kVOLgacgjm7EPrx1Etg+5k6RE5DnT IJvfzMM9mpk+sXRqAcGeVTXdJYorr63lpdqiqZ+bdrC3LP4Zembyu/e428e9US/eW5ndTMKqQgwK NkiW8RlsPnfBh7T95D40Mvb2OfCtgmVVYnhD7zGqSBIRudAY/a9PoAI46QbpnJ2rJp8TD2MaARLE faR1t++YH+cW5N1v7ohBE3PPStCbVzdJow6AinjiRnWJpaEyFRssU184HaoczonwsGH1Hx3yLyFo GCwc/vC5Y90JWgQI1MFtCDGiwunTGc05p8nS3tB2RW9JSZL176JtquQnOtdX7jWOtpTuIH0RnVxW bDYgmxC7iFhOYdMaK4BSREl3qkJFfN6Y2CKamtcFiXuzXufQhOYbbnYBASkh9ImM74xBbRokx5ip tr+r5Eui0wA6hTBBBtdAJR+fuVNOqW9A8NGXCBsb6j7hkri/3WDagk5C3sRyW3rUkgZiOPXFOzTI ik1c7Hj8vtaNpFB7Tr4rpNOGXjv027RzBg6d5KSVZftSNiQBcIfmdaH+8ZTgBM1W+aulnlYf0iSz +lTF+zRMvXyy0IU5Q0ERNO0Z3U07B9Pf2mJmNrVsobFBMVA6Yrj8MZSiY0ArETpmFjYtnoZwp4y9 VU0gD9clxU9zOuk9rvmTdmlwsDXHvFMNUHWceurzyR0FjZE9avrnD45PzG3Fw/ceYWkJhbDyZUoM tDR7EYNlA9CyiZcWuj6QXGEwB0EluLmLUgFujxUDtue1OSNkBsBsn/noNr8FbgOJbUvppyU+NDV7 JWq2VqY6L06fhTPyK5dKf4sv2nH3M/lTouMG+DjDti7lfbmOcv6zh4ttbsPQo7044wNmh3uNgVDs LCScJN8l8csVmNcL23LREZJ27P30/cwCwH3hUdTEgiayr8E+IthxDQ2E7aXR6lMvfCynrHrXvF8T BsHNNlOvL8eE2EHjuQCVjbF/saqAO0koB3MIaxM0ArPBFfGS4M7YaTiwQhjn71jwceYxRAVliETo 4k5wrG75uCKev4zPhHUfOLmgR2xTARQeuEI6MS6RbiXFiS0p+JjFreF8Wt6vh41kLGPOSgVktwB+ d7syGB2HgoIlzOTp1dG3wo4SecuvIzgSsGfulzUuB/g0UqvaNrentKNkHClKBxWYj63/73VEDw1b 6z/5YyhkFEYtZsbtks0wFqaeWZQOYDWUSXfMNLKkJfGbhUlgB0YefD7MKRz6uc4m+saoI7cizqZp TwCl4q2yoIqDwCR+AQm5fvAV0bhms+R75wlBr0JKQ92IrVbaHRftnohCtNbxFcray9aQ8wUmMU15 w/WL0Z/nQUoS7CnUU3y0hNcTEdoo3xkd+v22VQMLPdZlsY9juvoLZdmz4KjEF6Jz17TWSKXArK54 QHM31njh6t47eoWirJyouFRbiLviW0+28KjwCGw6vGgzBDWMgQXJhkqB+ucG+7CJOD886+Op7OJr j44wiS8jXJ33Lz/mNuUOSCOF0oPlEeJmLOCyZh0hdBSqDQiu6Tl1+qsBW4Nx7/uiz+eHFdrVl3rp ZuWwlsD29hbHB9JHU54SrOBYOkVJFPqr5eq74MQmr26t/nyOg0+Raczf5r7I10NeaYxrRnc2Aw+o HWuv0vq+uhdqNOaqNg1JDPu7kW5WoAilWJ0RiayeuhFqmodXkkQVFDTVtSFfOn8cmve7AR9P0vgy 766oRJBcxnJHqA1DL5uJG5j1AsVMAF+GT7d9sWuwskYNQPRrnsKckTgzV0ib8Aes4FgM75WC0cdg kF24Khp8ePqoIGzSVnA4SzgQyTRHSKLrvJE0B77kuHLHvTcXwUysmtCdgBWndakR6SsyZakxqm1S je6wlgYaLnNXVCIV0zR4APs4cyiMsoXLShmsARbGGduSeTKPL72/+xiWf5e4ZsslVGCmvJGfxfUF LxF1f/08eoXFX7k6wcusE+Y2ekVfsMn8cXu1LhbEUyADrePUwuwy6KxS4KSHbAeaQ8ChMNvSd6ox u3SBgHSnK8hfLnk+75yr7+CvdzNFgXUJMpqJz8xTb0hPaS7Wl12tT1t57iJ1833kKBh8YjFQU1C8 TifcwSBZMsLw1jMCZzCprQkOkL/e/HWAENlKyqu9ZffpycGIzQj9yj0BiOyb+oeyJEZ6/11U6Mh9 XpBCypUtt+nTpu++teeIFrZzpIKkidFy0bw3Eor5slXp3uwwqhjsl6SbE9vklg1wHti3S9IsUiow r2RLzUovpNhH1Jfi5Jmkacso9CsNyCk0RwTIoOEsb39atfInWjkR/8zDaAORbSEJ16CR3BS5xxf4 wWs0/wsPvp0R1lT7XM+KL8eLSbxYUyYs44D+yr+WV7WrSyQGVi/tyiL+Gj14Dzx8H5vo+EDJn120 MbAqeVbfynSaAgxQBO5NBXSRyqn1L032EUP+MFjLV4dP8HrwEfzvcpDWgKygiXtGwezZVy0yzwWS K6G6u12QL3cLhDkK92OgfodJNQRSJCxOWoB5e2uaAuuEhxdAgv66Zvj9mpyHIhhJS7hy5iUVIfhI N9H/vvYWv2NDVsHXaBxGYlrfWaGO9Mv3JX5jrY/yqqYDsTL4IuhO57ITqHNu9rybkOQ9kVBXQFmQ AKO+2Ecken+M7OiFiI0WA6iNnMf074t2Xy4Q29q/UBfuZXQ4WHxwd8jUinvZKLN0p7+pv4oahsUj /B6BuhLduwfC52yQei4MGT3I6GIqDL4AYJkSFbJaWVNKzlYhtWpI9j7sgg3fVuxkTM0myslyD1II ap6E1own7kNIQ1GKtnjsr88ej7gV95JxMnY9raKgaeqji/2v+l6kfQcV88wC7C32MNMbBITEuIdr L35ueRnwYW9sPFrGA151s91T18CFPN9U0/9x2Wlm9jEtWNyedJKgly7cRNT7X5ZJnZJCgXN5WUDC CJF8XLXducdh8KMrIND1ds1B41/Q3f6rHsuS8IcdXcDXDuK+lmo2GACRUPzEbAXYujtjpH1H720a UME7+LM/P9WuNSooMqr0bXiqftGJN1fgkqqPscVPLqLPvxpstb0pzHylNaisYW2JQw18btiwrw4a PnKuSbNGFYb091HDAu6Nbzdb4eLHdL/v4Vxe5jhmninmOybB/NkNG2pVe/jnbdAHrdhlC1I7pAZp u4HuAjd6dSy2624wZkgR1T4fKE7vDagnHS4n07f27eoTWFBEWTnswj8/US3E+l9S//JVwTvFD+3p 2XyeLUDQVXKYYm0eoEdUB0pea+37YErf6NNewG/T+/MmI3nyTiPF9GooGpRRVylidC8qJNNsWWso 6T1IgeWkexBHFI/rRz2HbjW2dvvYXSttK4VAlEd2Cu25dqDPEfbvJF0mUAKAGmqUj+FKzxQX6hC5 WLlsBVQJyPH0VlmCNOJ408Iw2P1RxCHuuErn4XRbw1JxlBs9xkHwEdm+S1q/a1TmXunhd1a7oYMk WY4FRGfevcE4YGBRAJYr+2pmZ6BVFYxkxb6sjvddwrRBKGleOCeTY/Z4qrNmZB4MMuCHOI4jfhag vUGS37iKt3RdEZnRt2sp82cadm4nZ2y08Fv7JDyefa8pD6HdegWV2CDWGli8Br55LGtXEStBHG5v KeLUcvsHBGg020R4XsNZm824TNcP5t75yAL6wq86AfjOEMjgAHinve1EDIZXvpWYpetqLrNAWtFz 1/LQaXwe0s0X6CzaM+oVCnWHdwqxGAWi8DwHUyhMsF2M13m+caNBcD4aj+6H+u6XfBxNndozgYf6 x31zRcKOpZNxRtQEhuonQgrld+V6fXKxWSd5LKECgi+HdGgqXdqtpUql1I2dd3j7eZxB7Um/zPgj osYKLOKcQWMZ/kN5r7uIGRdHjKoXnlQt517Px9yHevS2hAMtnvO0Ho/qH2C7HALNiVK7GBUzaYMp j50qk/yUPcA4JhacBNf3CvKlh3BmQr0AfZpkgjGEsXIQbS9T/l90z1dWM6+3f0CVUhH1b0ibOKRs /iMR1qt9OKFTNAdHGs8TKvP04leQ3mAK0scHOk6BA+c/MWlIojncWAhcyLTjFksHpgqEs+/UbAez JSD7mkTd4XUDA4BE7jhfsDi0DGmDnMaFAkf9xuKKzSzvE4+vumf4QB5Ojylp0CgHfQqYMk8atjVj S4jvzz+Np77OQE2wGFomIbORHNoeCJggXEFyjc+6CBc57BfiGSQZthfydVnYwEuWOKPmLKjnihu/ 4z29QedL1RJ/ytkSpL2W6+CEmze4owdCygKyqJ2MOlDURlb3+X3AbngrVYMWVbENq3HO+BMOYQFv YS0W/FNWCbCXcVyx5EgWCQjXw94+0rDnoLsL7SshZHWgzGALAl1mcBBYhGwucPCUGRs5AkT/PlbC Ci76E7YEJIvawZjYtBf9Rcd4cJeWKIVnahhaIjw5QLjCTVHAUVijbQ6cKECdZtX5muzs61r6PQqd fL3v9eG5uPLWGT+kqkOkDedyjYbMj2OpXlHDg9gyXDPrObQIs/C9gAei3Q1kIcwcQ9IrLZbrJX32 5OYGMba+h9h5XDx1fMM3Ekv1ij8X9ahkKamoC8sXmp8pN00j++X3OEUJM0h6GUxs4Jt23Uho/gKo NSittMfFXAh5UdhrgueJPeIlmwr7U0I6+ZlxhOz2fk6mSghvEXy9cCDs97A83B9WKlx/QB57ef9b JD/8xBF6J+0tTSJe39wi7wwZexbnrycA6lqMLL+n/KfUg3zVxdZn6g3BEefoDbWkxWmAh8ywCV/R DWp4B26QaHSPvXXlR7Q7TfS2tSDsUmypipQFWG4jJSxRWgtgAhiBD55lZA9G2/HULr+8k+alWafH bcBkn1cFuPuDYPV8tk4B/9H5HJ3y6IVCiWtSW4g6EiTR/Ui+IceNepzTC+B4/N0CTViSzNMk6O1i A2GVTbs6ReYi4TpyubwyT64MUgu2td57DaTzhnpoJ/Mzb80K26Qz7cZs2LCa2E80faT4B5E/lAJ7 CIaX700dkjrud8INIVSNFOTqQJYw87yPFeD0NGp1mLCcB+T+DARqxVBYtLF6bepBjupsxBp9hzdR 2T1eHWkWhSxND78G7Iba9K/Ta3kZYnM5vChq0bIEd8vp/ao3D8jLUnpcBJIxRDtYS6ZWu8KlxLhh en969EKbvbyP7XCKyB9afR2S9V4fuHuCITDntHDg62nzrrhGpGSbYdmcE2WD7g1r4KdEy21gzm87 KBybFj6RHzLN5fH0lyXFLnUMWkCOtDfSPysgH/Tjzpd2IKvNss7YXRuONrGXx3sL4aCGRJ62zPFF 4My0xD38Pd1ENR864IeAMoiFR8kEIPd94pYckJnjfDc6NbQLO59CkJZ/W6hAR0UPzdkt9PQPTbQx /jwqJx0907fkHzlEHXtPbzKwxEeV+W28q1KEqfBZEyUlhjBQIbh5rCj1B+sZR28WgXPBdWPPFcId u8xsuTbqdLP/KpYM75tlqyfbKRrZymuLXV2s4Pj/7YeYyTSWgev66zyXkZkAgpamNWkieoXH4Mj0 kwxVhnzPovbqwlA90hbl5su6m5jxrDWE8dhXuZpLx97oUBDvdJom9xE7z7csoRG2hzlM0Tji63C3 EHZbVeMaCg/gmgMmw4iXzny6r4z7WIdHTrskwX8CM2cP5fS96LtbxXgKBu7XR+FubsAPt3QGsDNk ng/1eJ7Vu/QSXovf0KpUk3qe+o/25C0mHyygFOQb+kSbncmlrLTolQKRGG2PQi9XpomLolzBJZf7 wCLGUoO3/xH0YRkWgb1Zw9tSVsOtxHFEiOZRW8bEyVsQdIKbX5mADLKwTIVW9/KI6Ou2PQfyaV6G smudpyEtkmnoUa5KALKq+DF8x+UAT5m9FRveG41j3GgLVtcCFQlgFAqX3p006801pfOM92zVhBMJ 47xCH41iOHZRjUwO009+Bw1dVW4KiYM6KwLRlZfbN6zWPh3XJpIQ6+LnyWrF4Ysi+v4P45UkS/u6 eRwzHjShxoUbq8Ksx/dz5QGCsB3hCbJP9OCQx5JOdMNfhf/Dhayap1xVOQxKRYOPkAHUGiLZmwHx 9oH2C03m6K5BOMBkcu5VMK0iGxlZxvIY2PL3sphINbF+i8LMbss8YSb9p9E02tUjHwmrw6LlPYIQ aL/xjeM3INGK6o46T6DzyTb9IFUZ3u8iREpO2CM6NuWgWZWGu9+F7HG7SdrcY5xamkiLOhagKzjO Z7Gqg9FHuUBo3p+aD1OHKelUS+ZFWkdMycEwNJmYnYQuuf7pd00caZP6bZGH9XxXXbiF2Bga0TW5 qRMxKjPokvCiDKE6fFTBST9LHWHCYDP9QSof1xujRGAtcu5pV3botFVMA1TUpV3g2rMgyyd9nl76 hGGE9vsmxJYLjiyEda/952YsBIMg+RZYnpkLAeHI4CixH0kNH+JkzVLkhq68E0+UvTS3TjDqXt1R lYbpX6Eh+MpcO3mFAVrAcftp7W1EaH9yOzoKW6vJgTfxG3cIKDgNfzQ7vE/4PmAn+fHdl5ghmjpr N9tNms1vFOEDaADHxmCpBw7BzzzhdFq2z4ic4s80F6sPwxqbdC8v3ACDe79DpFncOXf8LXZx/YW/ 2jSHd/tJPrJLWMROlFpFhRZ6YSb4quutLjkBlmXEhvPpGJ/J3LZTReSDnQ7yZD2Td49katWqdaw9 TrjSR8J64TVR/ugZyOrr3vOfCsqURGNVJLWtOMHZV157G3sm7q5cj99mR2DixTMDdLU+wpifKCQ5 dTEDMDyJC/N+BQ4t6MAm+0npXPOiC0ywXwCjwXMmMfL7xNOHeL1RT1WbF2XFBBogyN8JrKt8D67R xt8+/EULes9W8NNe8bnrlo2nZzJ5cjwiKl4Ka7dJ9XHvbTe3S4I/EPoSQdMyeLx6vCttk/Uva96h eTZRcmMQ/YzAjdC7Riwq79Y8EPL3mWBpoSeTANqKCAgKMJ4dSNQyoHxz8vqnoIQrU68Z4ShRVmbK dCQ9rvh5k1Zi0R6fumeznz6JOIpZ0nK6eaRbGA/YVebSFvmJpf1Ngm29me8Khy2YGn+OQWy9w1Cb W5GvicDd4RLFn4h1d2SQITT7/rdFqpy3g8iiaxAxpQj95SPagQ4shnSYFUUNP4zxwlQ4UYlXnWSH lTRBNGelNX1XXAn4JieFggbh1F6Mq8ZvcbxF5Yw/h0ereWRrGvZ0q45XIY5NA0Su0V9X94xcLEpT p+/nq5Y98ieVAkZ7oNbBAqnAVeYKyffp9ILjOhxs+tQmbu02/zK/bexpLVh6+haPyFabnDRRRZPl eESwGqX6/T/4yd6EIXG1LkeGi+UgxhSpOj4p/UaIoYH9jNtmedSTGvxihRaes3c0MFSsndD92Lzh E1Rl4/uPNGkdWQUfEGdfApID0NzSmlpyUwIvqIA31qxAetGB/DsDXjRRfkmXuWaJ1T0wjzIJh7cW Epd4vmtoKtKyY9E1m+f+RgOWLhVdGQdYmYLiKTAOgmwHP4o3qe7QaLN1Qn6qonGUauA5UzroWjjc 6o8b+bicNrhD8RKJwiV33yaGmcALP/TWoitT+1gdkJhppnttY0W1Ivz/PizO00I/f9V3AaqF5int 9AiXTCJ4kIEAO3Id4woWWnDQUfgZNCuPohbt2KvZx7k119qoy+WVRGerh11d8P0aMl82SXdfMvf9 xPV8ZMOKa6R60z/DgfQpOweDJILQ1t3td84GuHIaI1FPwX4hdoSlyAL4O4Xmgtli6qtaidKAA3xL YAcI8QPIaZ+eN55CJ5jqpM6KUGb/Ok5TvnqPgCS4E1xhLoNSHbbE9pWYp9PMVzBG1WbtKALHvrhb QjeZiCQfTMGfgFEpyLRvi3DkaydMg2z4IVbRUFdpv8i3Stq4wRSozcLJhKA4+X2YZgqx4t3CwHES TK3/A19tQy2eqxKO2kPCZNrFUg99Wx+YB2p/fun0wjM7+TownKbRCcoTRfheubXY0U7U+CQrw2sv 4d8Z7F9O3nD6vy0tFWU0CycIzQNSXGXcccvxoCLNtexkNj1F+0076GRSQb569iuS/TyOfGuMJOqF JV5jNSwR6yHTuh0whuOY1AdCvEnRadTIGmnjKoV9T4eLSMpbzyWK/TApG1bngCbLRoZ/GapfZtEU xxgwkLtjUWXPfyDapjcG9aFm0WkxzFE7J7VKLdFIHzqtJZlWe+Rc4q0m0Td0JyHjy4+TY5xoGBQy gqof3mqW2Qg442GiAB6Bpzqg0Gy/oKCvB+NbwppTZEzgA0TridK1HubvFf2LJVFejT33m7B+GzCh d3eW2NYsFnYdRR94mCxmgBKblcsTgKk0bLNLZxzNKSp5jmLp2SF35aF3YMt1aJ3EYI3/TTY1JHi6 kQn0C3TQpKOTrYzSEzsJqVbRXFHZgyGqmb4FZR2Iu8iBIEssax5h6s3ZB0WGgUDVa+HiUZyoBTfG R7Mlvf712JKFkXJPHHcp+vV8gyoJmhy1yrcmjp8xAUGvLqrW4v06W2Tk+gte01QEPWXAteBU1c5m VHnyRmYc5UCZ2bF3INc+VrqyCpu4WOyU2BFpYdbapWA810NWT3huT0nKzkTJ9TQ/EW4ojW+7iRT3 IgPSxPokHrc1Sy/GigNmooFiflzU/5RUwEo8UMA+cNHQEZxbANi3bVDTz+x82wUZf7Bu52fuTZ3M 4XIa+luS75PK4T0JnH/Dy8ShEqw87iIqodO7l+znN/QcoTrunq+SRHZ4j9NCon05XOMa8CkJ2Ngl 9+/SimEnMxXZgZ1cjujSkTP/B+bkBTlZow42dUEBDP1qQBGogqBQrD2ygKMfty59YFl5G4tigJ/U 1sQCScSi6Bw2Kxn2TI1fBzm/52VGpTkIJ416nb8nAWV5lBGEKH+ktqz6JY9rbvn2as++hGNXbj+Q ZUivMh1wnOa/TOHrkyK3nn3DWmvUwx8LZmFc+ClyHolSwAD9u1T1VgiQPt+kMX8hPGsV86RUnjaw mzuuURYSqCFOxVrzZe48MLtemeJeKM00awcwKD3TfefXy0y3eRygJrT0GeuPL1olbFMsqAy6Pjbj IC9AW2uJuSqD2vqjb3HeTowaVqIiZGGkk7sfCku0BmxmqJx6v8U8Cwqy9aR35jr20+ZBv5lz8f2U gAZzOClJXzVOvvbVtCSzhtcL5BR/HF5cgP0q4QykCiNxIBeG3uHqbWgQXQ5LwpXCVqKBbVT3dfUC 3C78lUHXRzyBPAZO/kaxAudpcTE5tiqmxrUwIDojC7ctUzNoGpBE1rauWxbuuFvcHPyQvGblKfwV 3ktidDq2QQScMop946ubVprvUiXzAMuJ7H+kkc6xsJs+i7xbpHD4A+tGEHL4Wr4XO99nohmneIzB 6kpPc316aSbCV+u5z1OTKwbVfrIdAwOUdS3iX/AvyqkgoXKqvl4QswIyVbXFZUbaJ2hnH8G/dUDt viGNWNEV/vCd/4IjLhcRz9FyaMzZ2k+L2OnKrND4eFQyoNrAOFgLMu2hDzpo9rFa5+UG5reAmbsq 9V04JTOx3NerymX/57OpHdcHs4AmV16QCIYXoddXahp7mGVGOiytrMvWvQj1eX3AnH2/pJ98aAyr o+oE29AduAvw1HAWDUHftZFe5mOSkI9o57Td3VaWp1qzlCEVhBlHVgeXnSSMTOC2SsKn3Vp87LcZ xi9jtW339kA5MothRtLGc//llRQ5AUsh+LxWvceJsLk8EX5oInQjX+9yHxTOaJH8aNxsp+5vmvp3 7ELt0ltYBQkhvx8vGWp6tUlCr3a+IjY6RknpPNxYQL9vJizcA3k/hz/gFr8wJReEm0B2oysyUNim erbB5f5vNhXHaJupXjF8oIFpZ+zcXyTUUwpYlnPL06bLqjVCiK/79H+ikBdxXT/0mqHxAFYLFwi/ 4TId8sFA/tBITjGS/ecgQVNrRVwc7ooePCji+uMSBydgHAUO1YBQtVSQmiSpxY+RIM+2xQl/Ps51 tMg3Bmg4aalTAM698NLYH+ciHJcX+RcN8EuuREjxAPDR/+gr882QNJQxHg8xHQ+2Dy9SX6C3YqCH uLyn8cl0wkmniE+j+eCTGJ/2W1npog0gHxHg/Ggb2qzuudFXJuKVuQLm7Ks+iZfUNr1v8BwoVGF+ rwiaYu9BG1tSkLXkbP6MhBy3laRObbOv4MdfQXus/Ke+nFOHBWnGmD557P31WSt0AaCxeR3hdL5C XhuVnbH6bzExkQ+c2EWgiT+Ozaz+ts6T2T6EEorEclGzWAtJVhmjCV3vHBxDqrwoMmS+cTaUxRXN cSJf3kcuQgurVDWpENoydwT2CY7JquZv9M3dQnFPmVTwSq7pt6NpFbLTLMkfTaUy0gxZlpCU9E8i 0ocAfCKz1vlur9HJu5NwRudMBkXVsdxwXkxz15fqGj/uqFPSnqfL4v8gfkgklYGL7HXT0i7VCD1Z itIC0aXFl7SrLSKjUcoKjV66reVbx6zNTVI4JunmINJ3AF//TBL3nl+uD4K/kWbFGQ6rRPVC+rKR IkG/kBoOw2Fbnt9Ex96Ipff/BAKXiX2h8tG71g4WihiS74gIx4whmyv0azNjPCniKhCNkj0Z2LC3 COFAkGOmXW9AoiVNI78je5dYi3DoRmBRIqcSarEPusk6zM4ZS+PPMl2WjLRpgm33V0NTbiTL5+GC gzAlZufb5hmegjY6ERg9MVB4i0lts/vcDDKyw0qVXNVyA6Iok8iMb6RHfSrGDo/6Cwz+oRjn79eL GhdSmvHvrPaG0Kv7fhXM/S1KySpHj5SrmqtRht2ydsPIpzPnDQ3a/xGsm9PXcRn+YC3jd6z+OcPS ScPCwC0bqRYbdGS4PExkju9vLmqf+aGWauQE2fnmse5qzdZth7idcsPslVB5A0gnM2OkF6hjaLkI AGAgm62blW+AqE3WtGjK0p85zn1A4s54yeyUVzAwFj8IyHSOuocokicTejTByBi+MtMM0zE8SxWK 5Lbc9T2FsPzuJMKJasKnJrofdr3PdCVBBcMnUZW4pKdLjf17lyqBcFeyKXdYqeNjaUiu3o6cjn2A bTd0GdfHLzSm+BzUlxOBGACrs/6tqWAcs7gZji8paQeQSw8voDtZTbF/xrzFYekHRtQNrTZbWUnc +SvaGKrM8kM6MY6cyLQh2G7QhRe5yvY5AucUEY7RCusDaM0rX2hxI2ZtSxl+Qy0PnyPZ22cD86Ve yLbaeHIESZ2aH4U2e6uLkdY76YZPZEIxvjhrKEe6vKvmRYp5p6a0/5OEYLhdXqjJudtd1lQXqUWt fhLI2hAEzWXzMykdbfhZ/++7ZWNvSnA2j8frfado+Rb00Aqcs8dZ73HLMghDvWszMbMCz39U09sy QHlc2tg1YsYWIT3jlfBbPyyobeHxvnuT/QSR8R+flozbMcnw7UpWMz/6ViYpmsKKrEUmiLlSD9nc /rsuMh03CNvuc3BGbOOrctKtPZ25jtvDWOBWmkPX66+608uTqWr5aSuEmrkCq5Vex+IeXSZ8H9pi 0w1rNmbikZBSM5Av7N+qmxcg3cfPS29dvRl2CnAAY4M1ho19KragwiWm98XgUXIhb3vMp4CDtkkW BXTfk8o/j4sPlT0AuRRlIYxsv9ns6sIX1lczdYW8z1+LPbuTzhCTgTzP2xuSom2XITbbgfCFrtnL u6oNsoMfO6FV8K7gb0BFZEfWk0MBGHshuV9IccqjeRfNb/zyORuYG5jEyzF1dIENOwUPdUZ+0ZZl NMhzGOOTc5M5eLeNkBiXH+VC//h/Fcl7VnQfslHjS1wb7GKlKtmOiDVzTURsh7vy8zD1u1VKlkRM mrPS8Pq5xJzNx0LMW5zOrLXzv0OLJ0Ndch2KWm+z+IL+gXDeu0B38CQlCesBocZBrETq2+ClBoYv MH0Mv2R02I4+cuiHsRRSS1DnC6ev6IkUE5dhR4FMW7WpQKmRA/RHTrEHxOWnXcmGWOP6LX0qp7Fr B74KQOe9UVuMXBYdel1M/YKMJrgT+m9asfVWf9YIgYC/dZLzYZXukKIEwCY0tI0WgoD1bW96Es8T TFT74h2QpzRskoNu3Du4sb3/dC663sj8ohwNQv9zbQhbiTmXqj9vJDFb9ygThbdIcHwZ8VhXNvFC B/GnBBELjfkmCEvxqmjVvaQKWJe9+XJf07YlZzYxV5YuB/8t4COq9GEFJuZQapTD+5K3VNb0PHV5 wTW00rgilqaG83DGj3fnwFyhF1uPDuQQB2k3l3OpXB+OqSImYHWkYe8Z9kPSkMI+uNJxq/44Fozu JW1Nk+l1+olXaN0mnBg/NqhRmsBPiqTSehNskWK0eNnflDvh1IwGp9Uv0IPUTK5d/kFY+KJO+EAZ cWRdQT3Ut+B1US10uRC2QVIbb3fnkqe4qeetWiifTU312x3Fctas4gc2b4n+mOJTepGFN6ZUl910 1lOUr9PDQbTCppP6B5dVYiKAON82XrzDGgKKRiy71r7fwVyfWQS4fK4cIy49T35VmtmBYvMYGcGd Rg9GKFnN8/zZS66cjniORKLGgKTq5XplS0CeEg9jEzboJLCgUmzMq5Kn5g+BosUDyB3eECdwmTsX 1XJVcLzmUykQE7f+OOtVpatnUL9HYRXsQVBvNxSCUc80kC48qCEFyqvSF//dFIYlxqNtSRl5Km3D qTbbThuVbKqj34AEHS43d3nwpoUrLQIyL9aBAWbQnCT3ZwnxjBwTEsaUySDGy93pyG/nwo3lV7pJ vfiqXhPN6Ed72DbuWunPbCMO1V3XdwxeHUmxl+NdwZ4Ucipp09dQ4NYY8spNowuXMJz90ibIsAqA TEx0PhBMDMW3mEBpGjTZyKv/NqziCE1iUfc+jUFpF6s+5kVV3EP6xaama46V4ZNHfX/dXtOO3zAb LpsRhmP1pk+kEAL/2Njd+Tr8rVhkvaDPbcJS03uHHfjQJAZYSOIr/iPeZ61CM4nL4/aELCNjc/SI /iINz6vsJ/xE5OmSmiIQFLWhmdTvpjNn/MOZnfa8qHZQOkRZHxjTEJkDLR0+leMY3VRCFRG2pH5E 5EBd0anXyZY+R2Ft2HBHNRto7ZeNuV+motoRlc9YGi5wW36+8wCp2JT3S4WHtoDSOs7cPvetvInB FJNswlcv+fyTtoG08+1wspU7t08Oda2AFhUz784DnUYbchUFtFpZixHSElctd7gHJVS0g+qudzl3 f5wY/45/fasgZOm/o2QgF/RLqacruVgEiK6+VsQanEnjp0224ozEava0cUT39e18qDlmJAazFryu RPYn6xTgUKOozhZpxI51PXUvvcYFxGS3zAMOXT2FO0MFDPrNRjYWU6J1iLUfU0VWFZZU5SIncdSb xESZC0y2JJ6Mq10pmItyj//heNXaITANAyQUNe6ZYA76O/z2q3DyvPdsyg+vJNBwP4yYoFM7mXdK Dth/4UoFuuIxAMGo9QK7cbMACSGR7B19cylb2vh/IQV5suItQQYz6JdMtMbjEyw6FvIOZWs2bJDU jEk9G2w+qnyL6ji4987dxT6mRQcxftvjjUs9HhcV3noA3uTzQ1nWe5uNM4YJtA3Mcfn5Wo8MjyQh FEZXvwxzQ23/YnNITZsVZ7sKb+7aFcWvSHOigNoQiA+gz/EPEaQ67z10mYIq+64darHOg9DHnm/C c32hm0ZODis0Zue5Q6m8Gg3TnfnI6M9C2w4lg/MXaIjkpfPj5faPdZ/tWaGIQw7aMSeEymxT90Cf xmcimKfEpu9h+YcVdu/pSxIA79z9vetlHe9Sgjy6OpmCyIwsYQ3ck+rV+WPL4P+d5V1nGjRMkUvL fsJZ20w4Wfat4jdQVx2hbnw62PdPjGW1umd7m8rA0RUGDZr/wRn57c788vpnSYhZr9s8YNPiOXeu zgoABjBOUa1/nmp5he+4D6pC2GlnzDehz0o1tT+jaXoEqY9k47IS6bqSf3EAfAegxVP1kdAtQc6U U8DM29RpYxocUvOwncGWIbE0v2At4/dyKsl+b2UalHWNZE24Pgi22IGmf+kQnpJhLTKqXK9D+GyR ctpbJs7y41fcmWA4kcWEcN50AuaNOqyuFVZMrLy9cblmYhtgNS+g94/DcSfhNUskt3e0V8g1mMrZ cZjRGMIPzW1ZoUKTeaWIp3AbhCiyJ/RI5npqRHw+NOAKEwuWZa5Ffo009tAmu2JSxMJQFlUBxZXi IuKkXVS8Azslgy0TQ6OK5h36hOjBnVZUH0S7Xqc6Wn5kzlk29rY+tILkYC8zsmlSiZhlgE5BnQ62 BVPPmqAb13yy4ksB745+LrWX1vw/L3EvjtMUeb4dMpt/4HBOOnkORUya6opNNaKzQmql+H6VT86Q 3EvZcUGGo33aHqKeEvUbiHxUVh/a0Uz3kEDUrRYpupYgCkaGIgGa2FVnEwKh6vGS2VIP8CrAXWZl IGZOwc8+DxiP/LSLZi0CYI71AQBROm1XshU+aff5IOydZrESwNkmgPk6SMGSXqaoafuBEd9j6yUO hRTJ+uReuOdQJFDzTEd5GcNAAiqyL8FB1kWa5tcqIN3MVmbfhHZr2ipzIAaorfeZpu24PakiZaPa r/YUm/kJ3S0LKEsmaMNciZyBMwx3LV7Qtlb4qrmlTKpD1956jVW81TKEc+VdTlbzBKlc0yjbKG1v sBoAWzMuyqfOKFSOPRPPZ7yS2/9gfxQEvD1ui8pIb4WWn6XwiyLvM7cgvsSjWJwz+KqsfrxrElS2 mpp2GOqCwHQgz5XMbp0bKMJeXiUDJG7vA/HxuMcmzo5Vel+PqYSnCg3OiuwwadAaxj33cYgLTOUR x3auslE0d1VegarSlj3Fu5UoBS9JmMwkKtJ6kubZjcSbFi+0RBOHETUZZ1ysgBm/Wv41lVD2VkWu M+ozupsQxOBa151zBi2P+a9nYwjeaeYqyYwiGwx1TGGIlGfd2Q5vHy2QGMW0zNuRW0QRn4pmw6am I0DXaH4JJEt4QWkcdLvDSqjM3GUGuw1xQoWvNIJZntzUirmpjYl85egT3a3r30Yl0uP6TOg5g+wm v8F/+ffY/wMworf3Hnw+cN/VShIfqN/WwWmUeI1A8g7WXoE80oj6TR2aA0nQWXPMS/sA4U/YC0fu 0mJPluQPJXu/RzhzfHQ71eIgSPOot+kO7u4913r9nKxHpjiZwrZRb7F4JkJDe/25g8sjuQXVMC8r MepF1PNsIKGSOLUkZvBQ469mAC0IOzG9fC4baxNH4nt/eFA8mnx4jj4N7pYxmiXz65cTjKVzGX3i 8KWaHVBczCsD5wXGzC4rLRAZKsHjCGk0Lk8K9WroZz44k1hAYaXcSWyuI5IIX+j5UOGKtEKPyog5 FIyezINbeoY15DmGp2HN3b5KoJRPensAJO0qFBpcRLlrDA79AQQ94A4w8akhe+AjkAIGAwLh3qxU E8RnQ9qobo89u04C1CORk7iStn23AmJaKn+g+YFAlSerKF8j5kKuXJf08iTrxkle3QmZ3i/uUN/B W+JJWyQBudR6VRrAvJkBrdOdUhdd7Bj3SEcOKyWu9RLaxJlMY498uU5GGJfS3Es+SZnyiqcG1m/0 67mNPu00jP5lOBPciaefddiUIcaT1FUP7sajo+i2u1x0JCgboB/QBjeY8yJpzHb8O8jHBo1ThNV6 hjqm8WDTNsptvB6yGFCO45PHqmuQ3hyJjY1kjPmg7lZI330hypEGmbImITohdIUyxwfOmP+OBZRa UYYEkknEkbchUQgsTUzS0EKFKtGKfQZSVOblX/9wqg2TziofPCKTU6nKVcPL0HRlcFb4hEe7kiqS bfg8gFo7c0sK+neluOCA9v8RuaFKgEI7WgumQOJo8Ps5Q7Z7yxoibjCKMPTWTRWmtWhuboHTLjLR S7HArj7jWlwWbPe4d+qBLqLowFX5gsVVYKCjIRX+/Q5AEeiWIQBl46Y/cZ8dNjrQ0p7Em3Wyc/Qw Er0KfaM/vVEjPf9MGQJ1GftUAmsW4JOb3cBHVC+QkF2agrRxSDj6SocQaSNbLjyekor/x0sgI813 h/HWMPjpMRh+ha/RsosYuug8bGoZ4qUUiA0e0bFjWQkCOXNYqUpK200oI6S8ZjXN8SBhdluUn3fk l3K4Nb27iV5UAF3hL7el+1ir0Psm2sA06Z2Jw0DMy8ybgJO7PEuA/OGatxdF0gTKNofPdI/WlpEN FkfbC+I8Z15tIpPHsPTRfot09LXza/fiqpK8NKI9gvAzQ/FkysMbBsBUoSKDrN8WXm+/HmSDPp4V iXlQlaHCEu7IPb0Tc2VdvLBBNR1/v8C3FzTM7dfOXgu7KtpyihwvUDiEIrs94CvrzhJEjuwlslwa MnTsD6NSLAxJLsDqWoO3QHwGpfXA5o4/s+Ol3B4RgtDOCx4fz4iZlltX8ML/6OLQlKHwX1VYE2x0 G8Ky035ngqajYI4+TBLXjS0z92vcFnb62osbSz7aivbzqxBVg2r0ZI+UBeipyosOnBCWY0ZTcBK8 5Gkfo8MkeX1EE0+x1UkEGQGsz8TifqQoi4GzANZSaudHywfIofHUQznvNsWqnP79o0mpxm+vSik6 tmPfFRr530h0Yx8GZ2rmDV9Ir4GFZQbeObrDn+RJ93wFzkXETNN6Kkg6mmMatbjlIHyFe0aT4s/U nNxaJykbpw0mRd4oJuEMIHxsJF5Dv5XVEiA8KIlV4cTCMYnZPRuemVlblI9HWQk4Y3vd8k4v8y/1 QXjlTEMs18+aBm66DScroejSx9dEcrc48GGBrKGRlEujsnwbXDZNOlSduQ1uddoObH4Q94d2Amdz M6FjAIp0c0LL8wcgKjpMHoYGTLFhazkTxNcQX5S5yGHVcU/7ZSkTs02cNBg6x6IyLUXkQUmHE1xn /zf/VfDFS1KV5yEoratXoudfHOwtwQdpclwhc6Oe2ept2HDF2tBjQm2Et9uyM3bGji+yioDhYK2t ShJ/AzgI02KPmb6PFKm/O7UO90tybF4u0jRWe0hhWj7QeK7E8z3pbsJyuAMaEcw/8HBj4hF+lTRf SioVp1vxR0GfaiBhpwEr/r4dWT+CB66bLzj7bgdgB2sRc1O5vq7ZDbgacb+EAUIFhoDGarT0p+HZ daaXbkWs1MdQnkIgXdDZajXO48T7tFB6WbXHUldY9gzk2BzCQAv4ZFSaV89amojOGWPMhhls31zp efbaKqrn40k+eDZGQ/GWrqI3WU6yRatdif2lRlNZ0P0JS3djnETZ16n4PJOZ6lg1+LMgFrSSJU4g foEinULYy174qbAaB+9LVsx9FZw1NAkt8+vhYJkEKrDZA2+Ep364zMFr8yHAd6iTbi7NPD/xvxMj 7V1xpED2aHMXTA/sDXRfQIcBY2kWVfG2Ve0FCqU5I+PHUptMB1BHSdoHcB7GpwaZ1vFTRPthx6Pc JQ6OqHzSChGPZdMAspYtZCw+Js2dE0JeIQ/zybep6c53nJavv1Q12qUIer0iLl215XL88BoXRF/H +UOf5rSLFkEWgLVFr7efuydslDLafR7lurJGnfoPHnhHc/q0Mq2UAKTZpmmpfaW0AtZg6GWxZFfF R9ZzciN++ufQI8Yr9t8JjmgItmYYD5eRceTv9d5NXAYgt2hFOb/wx1FE/iXdGC5ZyJ9/Dp5aM/ZK 6RSUF0TN0x6DgEMHYIFe1w/4UeC5ekCpPNJB/cTP5zEXf6ClOZmU95j0CVBzxcwWCn9+jFFQ1+xG FI9c1ZKV+M+NaHFT13bwePEiYctBbT4EuS6/LawjRv2oWnPlg2Y30No9giBrNEDxs6xMDsooE6dL cpEf6aJqDn6R+d3WEu3x4PGJgRmfcPt+2MHTXyiqH8g+7pOxiLbD6gkjWqxk2HalrPMCEtmGu5oy VL4yJyTUo7ShgKr7k8d2VqbWeXSiNdtLk0t8MsC0DXHCyCVOG5bb0eceMjCgaolldNW8Thr3h7Fx cHWaGMX97K24GaQMbKRKsve3E0Yp7xdn8TgKf9rbcrP6BYZlCuw7zJixo3EkFhgRr4oIgn0zpMCF FklAFNO0p1zrSWrkz0fx0pIYjepoMlsWOm07xAwUQRF+Uffe8VNLakjzVoMCrzd4AJW221oOz1xO Io4xTNQ5x59d2gVKRsA2noMXyG1K5/h7Cdo+Wn0wwlvs75watygxc2Z9UXtJP9ti9XU1wZ7OnoJD Wz7mGNZq5dSyAdTXExZekGWy89RHT8NgoEyASwK1ZRTlW8ADBgZGOMvDQX7HiPS/D8C4ZYTspWLw wrGTc5URlt7GtpZkNHCTVNAtaPUp0GO/hUcn0CJHeYl+LGSbivZgcfeW/idxhis2alBnoEvm6mjV GLXecDWV4ApGpVBObCvv9D/LeQvpAsVQ0K9f69m0rA1mUk2Og9AS+MIJ2pfyH5Oe/n9ylsD+6Jj4 iTXYnVpFwu0cXIZxgWK4wkmwb4exyMbHWpn/08zx7pI86f9OV1aZY5Bqhgv3RsxW9ArcPLvr5Afr QkFsJLLf/TSukSIdaEEmF0KbHDptno7WUr0IvCxl+qa1hpY/LyFpDj36jrokJja/HijV8ChNjSLj odZ/si1Px6rZF3p8KR26poyOtrIvm3JrHdjAX28N9htzw5QMOCgv+c/v5s3IbNH+hP4AcKWLc5q7 nP9QKOHHK06Dquj0+cCwrEaIr3tXEDz6OWXcZzzZNGjXIxKYOoXxL0BsUaUttRXG4Ek3w9Tc/b8l MlHEljuwltzViCQDbsP1dH7ss5wbG9NM7MU/AWSZEcWCaW7PC64LNwYfRQMx1KHrWXdgEn5HDTdg hdbGtDvvAMHoEF1LFrj0+ySI8hg/dsZiQ891cf2WwlEN/zQys2nTscAZAoguiWvH7y4cxz936vbx VkqTcXveg4UTVypxZXY88OiLrZC7Zf+kYhShcPKyrcbdmTQFQXgHQMBpBjPfbN03z5sro0MmH3f1 Xmo9irSaQJc/VQ3/UU7UjWZfKKjF2HAozrcH54Op3OB0EC8VjPuP4xyL+uUTalEND9ldWyoAEeZq I8V+e0bcd/KoWDwNWlPRBq58gpoRQ8SFw926zlCXf776z8l6uTkufTXU6xGYUqzfi2VQFFXm86p+ CVvciG7PGFVtuPOeBhmLuwYiBmNbTD5zkjtnkc/DBhB3GisgknPGBdf+3H40UOekWbbpclO7qZ6g ScWwz3VRMXpAdjOkAMB9zCocuPCG30iosfHTeAZGQU7l5HNpQBtQS556fc2HIflUtK3uxtaUPaww mGO8+b/PwIT5l7tSsBWdXuOC9c4G2kL6lMB8zIuCbReTYSRwIO5CU3CrB1gUCzO2inkToBD+Q7cd Zx2zS0NAF4+cq3PcIw2PsClO/d+MOPqCPRMK/PbC/spZTimIZ+H4Ny+AbEY9K3TFRBHZzSov+eYM /j+qLbhOx5Oahv1LYw7yNFrVDTH/5dzvW99sd4yB9LYyeW6UqSoO/P0tTUS2VwakVE6pER8pwtIC 1KbUg//uRYPk8ZcIQ0BWMUiO6C819hDabBQCs+u/oQCCUK4zaf/DkBR0AKfXT4rUibvITcflTItC UxfY8yd/FjMA2Wq5lYpMVP2RWOhLGxZdIlYeApis5RN0VPoux2kopPTHPDCYekxgNTypw2BRloq2 1opl2r0kOR1ZNN25BiUDDeiiOfU84+X7IyQAUm8tfFUTBdPzPMK5Fl7nbeAAEJDOLPfbygP8Y2zh V7ZGpXXx83DDbOgsr962a2lCuQu2KSNFYShNltOU0vSjMxv8KvNpsHtfheIuHXjNAWDKDqOibmmn LuIKOtgMH8mAGWVbJiVBLbV38qCy0tV8C0cqoDabY3xi0O0pMvs2Rd/KRj9IOzsZkAOyyYKCWfye 6NM95vbgDP+m3YOJfLIuK7Ty5j9B5nMD/QF/8wfNX1fFxsU3Ayk9YXKrdwJvhxWe75ydsc7ZAg/H Q1Tl35ZVZ23FN3xffon7LarPDqmdVs15hBET8eM8TH4ReVt6MmPL4hYIM3xlMKuq1Hwt1eqaUfol s57KDVXtVABRelvDhtUmyY0hhAdN7wtc1geq2lgBwWRiC6okaDOWiV6JxSixiYQnAgfXlM0Pg1SM 06NwYGbZx0ymXMrwjG1JOXIQELwdEfgoLf5XXI6RbL3Cjvi8HMUb9u6vL7IFy+O/KQ3grwl/wcRq wAXk2+51YJzi5Vd1zjbSF1af2oETcqKWL1WjxSuT2+Ket0BfeVgK6XMTf5qF/Myi0ftiKP01Q4zf sBmmNilXKbgB88C7lrlkUlkROq1wxiK6/kqFIdl1JdDmbMBm5WWa42hGk2ihRE60gUxPz+UsXJwS RTcxLLG57kM2jj+M7+whImicMxlXlunL0JdZDdcs4R5b+b7LB1nhoLFklLwgILOHk9RQt3bOvzip uGfeXJgXzRvSJxLCOTTxoarDU2yqwdadooJWFBlY6WLeQlLvWVSbdQySLv1BVn6DxY1Ckg5XI07r io9Kt1YLfWPt0fyOZy2ew7OSl5MtoVwcbGP4gco7um0/wRwh5k4wyfjR/xijmJSgASAu5Sbh8k93 moBiInArUJczARghmTLxuYqqJatp1CRO8SXVUhTwUSy++utsoDEQC1alhM09q/0sH0OSU/0xSLQP UzADyKgTdpoUYjzzsmvMmpQU2MXJdN5YDRk7UB/JXUpxaBerMrKgpKTEW8ggebt8kOCG44J49Of6 0NcUzF9Pcu68ovUlAitRQQOyF5QxdtQIA0Y+4Hc87n6v5LYhSEkKGiHHQGHF7WGG3bBs/lXLnv3m 9SLrFQk/FBuaIvWNmbAcqb/sJbhMF+I9zy/3zPu2Bid226fyc0p6W+JTGNrq+FWIev3lMX+Eq6wP LXPztFZ4SlJJYBUVgxnKslsbmBqWgbsdURK/gjHCfDTtGhFFtcrzippcLuL4tZrEegw/3Ekv9vKT N2oKu9wR2WsSfxUdGXOeFP4et81N0nDMfU7RaHRfU6mg/L3NbVKPXO90538etUIWXhz73y61uKXY KGhzxiexJmqTAArRbmq1AgrsuUeolyqzwWJaNa/BGFWNfycqwMDMM27eY3Q6soulA+HHAa0L1AKn Sv16V3d6qFTD4PVhvNcBKoYL6DzDHeidXsEfOqwdz3fA+x5C3EdCtBBckEYNIqZpSS+M1IQUj6Rb 2ZdJJSirkWkJ0VUw1qJ2lQAldW+nbt7FaFXM4RiQDIMDXXKPq+qEPduATjmcjLtqKgjuwS4A6PUf kBKCNYm1OJ4umDLbv8wgtPrl4Vb3DdabNs89vVZMKpf3KafzvOqa6Vf6xDO8i3ez5FIBNHn5ZfUj rRlDhyQjyxaIOQ1eUqFtiIVVVGaniHByE2HAFx/5cLwFwIkOGzqH/uEzougfHCKPnybx09ijH0sQ 2I+xhKYkJKHMfVVaAr03HUYVCzZziy+agTtj9RqJQZmv0tW821dDtRLtsllf/WZMsJB3VQBOj5Xt OzMyHjv0YunWpkiGLHmEa5S0SxYVtrvuoKZaCWuWXGWVKyzuvAuVLjTYps/GAroe9WR/0iAWo7MK w6zazckAAQQBfW8aoZcfIF32r9Su8d0d8BP123Z1JCQ4ByzIkTi2Ija8qs38f0evkxshKcUsicEG RRWa9qwHh5YckBGJOgR6QjS2/pYYOFmZRgoWqwty6NCvCzMeWfmEUiwHnYRgJQe/M0VVMw4SayaU 7yRl29nUTLSRcZIUb8dWGji3drAJ8Tt5i8WiXbIod/YjexYjhkzH4PsixKRsc4zq9DYgMEvNEbNi gf47VcVo7ezJ4twwACAsvPOJZYRF00r55aARV3CbkiciJDTWecFZVNLrgwGpzLHmLI4OaiOQk1rH aEMgUYydMVleqRxS1XdkuAoM16ivmjJWZW5EAeqmU3OHeNsUvQoH5sJYZJrqBSL21WJNMgQ1ALj4 mEEn95kPScB0EIPj8dXSYNRUJMS2TRwUBunbnRHTsPuB+Is5qZ8d1iB9b1JeyllQ9dvnOpCU8W6K ES0YLjtD9RZ4ki5OrnSurHWfwnWv/EErXh914j9/d+MHg21SzSc94obkC2U46SCQPL4lsu9ye5fY cGW6+caMiKyy9jN5BwGi6fiUplf0SgWNLhaLfwyNiepJ+jAactCjcX3B3QAMtY18Y+D352HZ8P8I EimkibqgYgvA/Vhl0MU//p/pRw6sMZebjljzX1qSnNf8QqQN2S5FZSQGEOCMXL7C8GL1lP/WGZ/+ XbvTL4QdbCojIOjs5ukrjfXAc+QG95M9hcD7mSUVrqzqtiUlpvPp/7KFrURcBBSYWgjJdIn6X9ML Wm2h+rV40fMW8dkTl01WdmpRck5JhKJrpW+guwad6mCPWVvDHtT6WIDAv+wJ8rOhhys3gy4qeAYV I82wIK/lom5sEo6YGeopxWymFNL3kf6v67k9HpDrAAj8R/l90lrctTHSnDOieMNHfpZM8JXTeX7T rLhk0DNAzr6DsZKvtfmGgB0WN+iw8gckDBypopcsenklM5IIExNjFGKRN0v6Wq2CdlHPdS1n66IZ 598umi2to7NkSpmXeCpDdkwJ/Wd1bjsHj6yyn5eWqExVCc7wXHq6tq6siWlPb693njX/m2b/pmep oGH1B37Ytz0ndGNJPd8UtZtvEm8rCc50H7lYFH8hAvvSqAM7Oskmp6+Loq8ZYpuJfBAvQpPBS73V 4iThWEHSFsP0780K7ecbp2fI7taWgIRs35wdhYVBisbcX+Bpuj/bzBqINucVPzxZ8imMpA4DImxP V4tgs0jFRhFCOMLB3mAJzx1+kiQPMuMQY5ovNmh7tRU3YR4rTV5mZbw8andI38PHyAxJUTfCAiVk ufLCt/KeS0LLS7qrD1wdH8uZl9ZnslX9wwu3BFzs9P8bmoss/LYNPXHtG9uanPKvTGCvm6JzwFaw rKAvUxPhLjUY1ZA3WSfxOI10vt2IH6HuAlqSeBrwgZL311KWDoI06Rk75Yckf5KYJmvS8uEJIjSt Zs496lq80yNgroHEvoO1jth3rfxv7BII4GUpnL8LlQMJ6Qq2olftFJXkayRlGgXoDsLRbXkt0Uos Jd8SYWgSKdvrVGx/hvY5vJjjlKai/x0Z2XNcrcJq4oy8DUODPWVguDj/wsZ99z69c7BaJHjKp51u GugCkplqQrw1s/nhIusbIIxAbVtPgtKjAusU/4whCuLbU8QULQml957sG+uDuGl7pJLWI+o8+Hm7 NIe1yo7uSho2IGUSfZCelPPfYVtihjD5P9Otg67cMc4HDOrwvMpbpOJjfXuVoj9KQf5GbXEdDDD/ /7f8YiZ30QZy9Gv4ivNXIzI/7fVGn4njg1TFzTkRXnPJang2yCYEHksss8rLYgokSACgukYu9UAR WIfsw11554LLaUy7pg/2d/J4W4TiGM82/8YC73vpmZpLd9z70BOm5jIzPArnzzdSwwP2zjUokyTt /GX7WbH9E1TbfQOr9aSG4YlLt5ANNWkXgV/gbzbfYILmKyfwexnm2AKhdXz+77shJ8u1BoSSvKkI l9JxAxNAQUvpbVUIvvNaQaLmqzbv9yZjShqzH3ZeVfaWes/k4nVoKUAWLFksONRWq7XACpDC75Xh EZsvFxQAzt8GFXpFhhFc5yyQhfgyUkmd+FOwXmUPqEm55mRrsYue08jr+gddjJUolPbxc0O7V5Wo tM0ZAiPqRzBBIHH68z2FABZ8Ias6gVbDePBFQQ4ORQHsRJASuISGWSzCsbeXXaqjhIegBOmFL5i5 L18yAm6mMDFdKteYG4GL8LcQLSO+qbpCppfQNd3FNFDHD6yM0HEXp8e99dDZpt9vzmRMtmUScKiL pobDj8shtM/MBDCmxHgVI1ltdcVTRItUw9rkMBS2QQQ9AREAVbBaDgTfHno4yNjVz8MHvrEHH8N0 WOXT5DM6oAKBsGK784+wW3HDTvUdM8vHfPsQmof9Q2oLlWdfRKAIssDJegwOMG6Ix21phub305D2 amaEbVQ6MH7SirpMNtTB8XURsQG5DwJ9B4+mokhCE9bk434CzIOSIOz2d1MoPxszyXEeC0HhqP0F +nXUHalhIYsRYxA1UyrtGklS2GoBiSzHTS+KICFxlXZtsp7YOKUCkOe5AKASZWh8ei9wEg/ddxzw acPp+a4UXajoUAw/Vvu5UBDZYRGhBTfe2GRWPkWK3C/mZBFMk2FUsmem1BKLqXWj66opBEe8q7q+ yPf0lVWu3owXRV3oYN/eMsmqXjRRJBzl73r3UYCSAIzGbm0rTefsJlxLbRhLZevkqyKkwKavEwwR 0wHs+jrHQ9XyOn1wC3DXGdQbiDWrzAqMl4gAd7GzftVGf4h1GwKFN+AhQkJXXxdqPfbBU/+AmK+S IXwr+VIf4mQQO6Te/QU1EaTG11QcGk0+qDT4Aag6euA0i94bX9sETkEbTfgbCLL3fHnN7uPb4oYc moZKxt0IntB/hdZXHeJsJoQ6MJZ6AvS6orcXOg5ql9rqA4UUHX5rSruzeW7p6BVkDeg85yyKWa1O cUneNAMd8YBVo1wAmzr/wkIymxMyRWJDTMkbdEvUb3dPj1Y3DYYsdy0rB1sA44O3wQyYsG6PGAlk y0zKt3tdDIy/v8AgAVw0RWkYG0qdjuFuEnnqCAhDdmS/cyWw8wrbCXWq5WHnfDH7tj6ddo7072Ww 3MaMUFb0npV142n1yt7qRxluJ0s9R/0uMv0v06/L+U5YQ2mvBy7KQ7WOFtfE+eWdYDu77oPm7Ve0 P+rii95pOCA61Cga0ESRyUImRuga1h6Z83UnhmsLzezDDhTMnu0MM0XKlYuOJONGVmBuT1ZxW+El tP+IafiBYGzx2sHw0aj7UcWaMWDybd5WIbtIqcxaceX/YsEAq3DIR+P+XFhItm/XM1IxWlP2ONf5 uQjy/QP+SNLHTCtlN2mMbnNqqKDAlUNcZbFuMK71973pzRu6lJtn4ymIKk+YUjsZUNI3ZzLH+4r4 4VQAMQJzN+8gRpDHOgJvqSWSrlJkHAsAoEbfkjESbSYDTq5qiJeLnp30APvftctc5MXl91TglW2B 75IRgAl+fgAKVAFBZMcuRKB3/zsIBGlzPpGGUX/oPSuRX0V0NrT9UNU65vBvbn/N7m2YDgcgHkyq JBGdS0pdtaaUAb/l8M0ohPQMiPvKLBq+ZBO3W6XU9BBbhFH+pI9V/Sy13aKQ2MYFZLMKbvWw+P2m g9Zvta9nmOLENkdE4KGJT+vBE/9SJKHA068FffOPb6ddHYr1OBtDluO3+64egMRoB5+h7bn+kc2f JCqfy2uv0AS2Z3/cawNZc+HGUinY9v0xPb96+gKEpLfxlR0adyirK6qj0f5tyt1QwiTzJPEP1wLp FjvWxn2ppIBimfWrEuMAnTYNoQVN0RmivR5O573FXYY5nycYum9WPXJvhC1IwQX/9D5B+1oIh976 CKj+LsmMkCJSDDviYu7SSLe8N8NdyPKCTimAgZEGXKIh9ikgUbo+xH7ju19MezSlgmBR9iHmr7Vo 1t0o4MlOPLQSE99pkxWPcKE3dybl8m5e87Mnl1WO2tL2/M55tLt0ct/h1sPxsYQmCzOdyjTq2MxR 1lfc2qa2rdbI8D7ntegb7ZfXQyuu5wH6ZTOzJPWTZwrV+1IFVUbx8jiKm3pp6rQUk9zXC1dvUVmM ippYRgD77HDn23tqjQ8pW1EU5TPK/ju4KhIqf9cRg0+ONAIEXHPZBwyBHRoAIeuqWVAy1CDfg0tN 5hcxzW2AzL0/VzMQT5o8gY7Tw8SOGOXoJwBMnARY7PO6tiow6dOurZrkLqD0VGQDVtb/t6RENK2r 9hNBmysq6EySLoenlxie74ymF/h0XKOkRn/J8LN5MyggavM9MeNUtrZDihUnWOJGleKnaMIcLk4G ICwoyAo8U8XClSDIqlPLGXEgr6vy2gWkomS/Mc5j8SXeSR1CI45P1fVkUVGhUtVi3SUPoSx31afL 6a/Svas2mDZ+NI+XTxTdvtXVeST/MgIZEx2ae13ioqkiCNnexZUl9ba8vkTwg4E0r1ALPENHV68Y 15o46jzjvGSoFpan8CAdbHy7TzTvj8SxAsdBGtlnUphPPtCfJFdY305U0THyPZZ1DEORFw7zPAKo z/sv00nERH0X8adTwA3/JWfmDOIBSGc0vtsZrS7J6yeXSwBVjYZ+4YMpOQCajLhnCk0knvX1KFov 8EcP4tdYkfKg34TOQNraTP788v/Akk5h4ScftWgyrzYmfRYnrvRXA3jcS9Ydjjiu/U4RLPHMfzAY 629mi3s7uNOV3kobbEucjzpgiTG0/3GsU9yAhfcCY8QpWgso7WzHEacWHjBJMFQrQEQbK5ujx0GM waOqdlA3M+clxWiUQGbjfk0mgB40Gg0PSm0RqIoOGnqqlt3tHukkdg/L3TchNY0aNH51zEFhH/IS WkT0IIT/H8FKB0LSbRa5p3GjS+lXz+Z5Ie7b6/LgH1Qv+cjHzr5+30BpuJvshAlgUbxCTESM0r/G iPfYPMgGqfCFPKqWW7Bfw8nvrWQzAHk2C/hm3R3uk7BwnvlcCHTFgT++/8j1QimYCCtRDJH8F+9v twZWvVlojsSBgcXgXRucmnuAK0oZkVteM2uPkVeike/zvEgQpbbcTjSU0uu9IJ3k/MvonPAqbTsQ Gtllw1zPVoPdyvnt4Q1c4AtbjsBa+/uMLjor5qhIPi5LhL4JqZcFCqbpVkhjJsRSWmQZqs9BshR9 yGTYfpbC1unSyChJs1FK5wxWVRUAqIPlnjqvSAtIBKqhBbQl5LDS9kESSYv7m7hVlVbELbo1p1ip ezemXdWTkLR9P5c/5hiemaw5L6USffNgtuzwm4C3YSkXxm3C1dt17c4z1/87+NFIALeNzUADxW5U b8yL9zB5QmAhnqA4Nw8M+GCsxAl6Zr2Of9H9ru+PL9a9QE7AhOE+hk92QXz27exmDjMayPbAQP/7 LUIpf7k/dfFaXffAIwKTVXncqP4WWj93YY7tgzNA/fR9A+6XDzAJ6+qfvRYiV8o0nO7QyLc3zZCz JKj6Ym+8mG3xFn32wKvGQniWjybaruFW7TH8yPYCSRc/qfr9D8+twzOE83PYkZDUPUYaLrKjXEvf OzE8mID+H15cVQRbVDpZk1yLzk3w5fz8kEtz/zkc9JhpvNLrsr+AmWCJyktFAId8bu3M9FggDZS0 FYLZtweBdFn7izBvI7mdHfV6e/XmafyVBOSttWHUPF2o1Ob13qcd6ZCSdKNpkYSxLRWfhGFiGDlp 0SjCyxr/ELfmi3ql4rL10gzg0TxOOBq9TDWDOfYDUBxeN3giFJ9iYGShL7GTAIODP0AQEIskqTV2 NT6Jm8V/swFRhSOXX0jEaH1J3MuE31CpaTNeMcid8jlLPrdC2aEKGR+RgfeoSlBMeQplaCBlIkxa vw8+cyUODhO5frK/fDJd0SqNHtU+UTkt6gw5h+1kUDmz5ft+GArsg9A9/rgD6byplQ5cgtxz12JH lJNcghYoO3FwHIJShRCPZavHUZi14xIEH/VPAck8q7u1SbQhaNnkW1c8UdTHVQGhJcwgrUodjoDz E5u0brPFu+kVAyR2XQkfNV54qb6pNF5l/CeJ0G1wpVOtHg5RsTW+Gxv9HH9+42F7NhoKdFUMZNCA dA1bAblQHS0Xwiv42puN2gcMXnV5MhtWRhUgqcEAa/Lsd/sLaQEj2WVvZRiLVV3mK1Hkj/2SvQ6t xDCH6UbYatGrv5EsB2L7xzf5Mcc8Jz5JXrwWBiHcrt5nIYMS429cVJpfUTB7akhmYr40s8sHD5vf 9aRtaFHAPEl55TMgzc15AJFhoPjFRBHsJCjFcpmFv8KxKVEwRUVxqwOT4lbxpoHfAI5GkN20H1HW J23bOR00/8tSZjK/wpF5aPHciDcNemsIQrASZ22SyYaOO/28HKsQGpljbTP1dDgwmhRppgz3+H0o GQF2mJ2+cOGLS6mwppnPO8XRmlM57KUFWBY3uLiVhFFIr+5e5TnHGgnh3FknMjWFCJbAlqbZLgeS +tTPyZ6uOHHziEvgXC0FIspV6N4vWZTBjZEuuECXpN54LeX3orSiQJjb6RxirbhGnALRbytGM2iz yXedZqwZsMChVHDXpc/tpwIYuQa9LEZ3ItuCziFDgA3y24iIikR1GxeRtu/JyMEESOCQlBSihpin iABoc6VWlbmA7bls50At4avVBs06p80LnQY9Nke+ixRXNSvvClvjjckUc8eq/x7Y1xB4Z+0rFWXh Mu3gY9rp6hvOqc0N+g9p5AoYzHYXEvj95+VE3EB+WqrugoK6dO5oa3uSuvBV/pmrokq6c0PuBn++ /bJ1gL8yGuyEkbXEP03rry90ewSw0/Te5oceT32FBEstk/3Twz9wN+kJT1W+DeZtQGLLmlQKd89X jb7z0kt6zKCcfJrkQuxzOhvyfkA9uAOCZKpzqG3o6vTJpbME7GiUKZL5znJnacf/x2bFfG5gs3EA UCxWNO/aR0DUggq1wIb8qR10969brWmEhp1ySLCQFJSrQw3Ey8M8+xQ3qGs6/7GLDgsRVkqAGQ9j DtBqyfH3SriBSr8IT6UTz38lXv9yTnW7b5TfFHid+A0EBohmoWPpfijHBrzG2acEH9yjQiK0Aqdh g/8xijf0s2OcBt1XZWB71UfHuD675frzLN54LcyQatdDm3ybCcQY9wlNpLfiRG65Apk3c8ZwOS2T cSEITfKq+f9FnW9ne6V4MV28g4dZ6hXx9eF69AGCk0SZxuBly+ZTkH8IHuhKX0Yb9ysXeUBy2nBb iV0RevFOzfstuSyz/8B6PNUGXUrEahaDPC6NH0lletGunMSkZl0ghRE+b6pbekqS9MQkTKTGO4A9 uNOvBu6oMZDXLLpvqRS3ikQJYZ6CLSmZhC/Wuyq+zuGHj5klFIQaVO/nfh+ITuKjRgqM/PEmI3Kd +8obocfo3iG6PhBpykqLpkstSOS0jxW6wlCY6aWFViwlKisCp+dW8ZNaV0GYf9Br2MmZt/KXHayr A6T+hNSixK0yD2pUAV1FMDchh0Pzf1O2oOwrtdmix1AAGotGxGpxoqfvjpi4osTKKDrhaaQjBd7S iUfDiIPjIcanu1H4CGHkHPOkHGRRNm2WCwAswMFCdtgyAsHAwAr7Vw3X8VFs10XwPEdRCC2W4caS H/mr7ZZGm4XvCaSfuU1Kgi0K13PxkFtXsYYKMTxJIIrDj6DOxVwA85JOABjDEJw/S2Co6YWBDSLh Hoe0v9ijG2h1OGeq2RzrEF46SiNSAR8KXdJE5zAaSeqSocv6OGoAi+3RS4ODnj+OR+UMvFWBB93M OaxzVtyX+Z40bhdKYIzYQ+paMlfxmHxa68IWBDtH4O2WXqo6mQ781cYAdsB9h8nnZ6+w/aWna5ur W4tSXuiFW/0j7ROAxVYvqZb86pohi5ENMaZA1lY5F+WU4bYUihNpCUhVfnsjzbwmxGinrv4ieOFr FiYN8/H2RcDN8j59KUhrvn2iQhDrAKMCragzBU3hSD9lMnWfidUnJhz/O5LM/qhTNrbSxMtcVwmN gg0twBzSHzQwV4Blnz/1iH9pxG1DRjkhxm1pLPM6BhqOUlKcC+vathOJIGB0YDrdsHnLJx6twlv7 NIoyY04vZw00eMOgBiDBkKLwgn1gnJGCNXZ03wcwsEqO5Bpsc5vVhmudCC/9Ug6B61qHGz0F+1c7 zKuhijIGHym+Wm8c28/GjbCileGoQwacK282aEtFHov5qWWNISY5nsk+cWkucIHAiRT81WI0/uWK ZuoF3eFzSJcudZbkXvtIYNH3y6hayGRW+axLnz5eP1zyEvOMn6nkmVN6R6zepV7+UjyFrkjF2DLg zY3mE4z65mFBxEX7961mnWf32PhSnijTsMD4xFq50oUoNNzBuaylmt081igCuoQgzJn+8ovHYJxa cOpVVG/E8xsX4ksV/VU9mT72aOTCUziyhNCHuW1OctwDjReTbpnPlvQ3O79j/62WDRoLzbsouZlS v/X1/tSLyrEL/dkaDfFgYdnEDVyR6eORarenXt5lMbIcxN3Pfkcefh0vk0ZyPhOJIqLwUQDEFAnu a+XwEBvD9OMpQKM0vE0g7K2SWyJCgl/w/XXErfMMeZvrQThd5XI6lwdufVvzcwGnbCxrRFBi+2bc zpd5B0q/GCDsh/pLRV83PdM6NwAcav0GPrG5+52igyiWf8AkbJnlbDfu5IS6qR5M19oM0ka7sB6J DCSA6OA6HuGR2v6JTeR7L8a/kG26NhOzqy5yDObL3V4TxE9ahOtObn+aUz2nFkxOv9PGEanz3KsL 9VwtpUQ+88ZfgXZqTR0LQcT/rRYfTuOtC+ABoG3yffY18ZIUhd9le9UARE8AJkWvXkjqaFNO3stl yGkexeJHLVsWwgYnFIgvLLm3mVq9r9tKEmQbyghUI7P0LLDKR9zr5UNO3Hm6v5XVWD5RLdmAxPs/ x7GPTtxRlLKkWjWal2APPv31MYOjj5f2UuknHLSDapoaED2K69RXApT3dBW2r4JCr6nlrwS9wecA 4wUO3a+nSf01EvtgP/4p83l4TtMUwG9gwKWEtxUq84xhLuUYSCFzBYTQJit7IBgs2VuSb6Ix8ah1 Fe+0JuTlLMGh6nYBZRthM7CE1CTtssAAGHNX8IvT/U1XNX/CcQshosj8aXcz+CNkj7XcQ6xBEABO Bu79I/b/fC1U5Zfr6jvz/lSyN41LN0Ia0EzY7OYgNfH7Mp/BhFuYRdqhQHBn9tWgc4/2Co2Mp+b1 +wAoGyfka8MIBaIwJY+eW6bFF45hMgkeUqdpD12SnVyM4KXhISlTzhZYmg/ILVI01OaQfEPvnQrm dqGwtFCWhzAoBAxZZZdh2fMl/cRAEgk5jED2U4x+uMQaPYOKTxzF81kiSKmyzzgrmuZ6evCN3Dq4 KimZDZzNwuIqO5+pYzhk9pE2ilo+0FGMICMPmau0ZGhKZwmII/h3lKflxbnLDJO3l1v2ZIACVCI7 seNCyV2AvBNGoTCst95gXTxidcjoq8cnXbmxC45Dy4UYzYHNH6k+95Yr6Gg6rlTC+StZ0ohFP22D rOXe/zCUT5mui2ovAEl/z02WAPgGdGh41O08IX2JHqUgQSCSsb4zMGlqSQJLv0YtwzQX2mApU56j uy3R+Nu+0lV4Ywa2Lxka7r0yvAQzjLbtEGOdGzSNKQko6IVNa6Nffnpofde6EwFLpjL8bSsHaiRL hRH/8VMnM7wU0hMgDd5hhJSJZ4eO2KgyvQ+J0qgNl0JLPcjUzSuFS4Lz71njiIbyZVlAMr8Nffv7 Uug29xRfZSUlgMqiW1cyU0ue7WodppH8kk/AttZwhFNVzpJgFUmrZ27xQ0ycCO4zOZN/eRSU7T0S Gg5NcRUNReiZ8Ighic7Fjx2uG4Ub/RhIFh38LLu7ci1YJNfF6juPr7MzsgKCW/48Vm5tX/xcFL+p ggd3uuGBA42tjZu0IxSWg0os9uth6ycajALf3+uTmbuunDxznfNYia2cCT7/2BaYTlRX/jYRYmj6 f54xL+lsnLwB5DRwYv3VqfMXjIrzPqdctcmFcStiHLFu6iTeA2ZnOcSf0YPiHK4iUe9hkdPE7MYt FDDScY+zhnC/Iiz67Xiytl8J5xgJott+a8zz7qGskwUnejQbyCTBZBMXlEyqP/EEdz+CdV61GdAw HByZvRWkELKN14xaLebdXIOxiDIgs4v3LzKg5rjJk1pdG9+G4o/D8S/vCKFokhtXEQAj2fnZODC1 YZtitnCE+KTcz/4VXT2GNMO+D/9s0AKy3S/2yeN6QKHA/g6EzPyRLht+DFIZk24qY2zNertTdMwn S1o7Tuzs9LXzQSH3CRl/pSkXPRcPmDdICMOPBgevehrHCW0XjnRsfQqOIiqOJVLluC/RPNQZ9BXD 76cMHFB7PFPkEs6LAEGBmOlvEYhPcpTai5m3ftj1SR/vRX68BEK0PCk9GMYBBic7Z/nVl51EhVTr 2oLZ5RynH4yr6ussoc/UdTRkVO3RPTvA6Q4RE6xqYfWjk3wtrbzlqsMqQZ6a2wt7loBnnDghCNO9 f5UhgdmsgDrUaCIiKOcK8Qs46QxL4DdiprdzgT9mXF5sAF+673FjtcKI9KPZ6d8IJPXpBQYEehKu EPDEIFLF3/EEi5ojcPM4doZcc5FfkTVtur3gg6aMmtMRCPQAgq5sa2i8FC2oYrkddi1eWeFj9Mg6 saLTb73war9lmDBEBVWRpHJWRDO26d1LyD3BPhocwEd5XxL2XjP/fo7LAmqdxIaJb6rzD9klwLXT k9keKckvbkf7HJ7kYijn5XCydXErSDIUKx9IqXG/IDvyPhIa/vKWPO407eoLzs81E7IykqpOF8c5 L8TQuHJxwuSu1lS+yaEgxUxbXju1qBM3DgMfHEcc9btLQPVM3WYCoHvuf3xuq/Z/tIJmsryyc8lz KIjTOgqR/ZrsRZAmGEJmYrURFTvW+EZH4IgB30PwK6O+bjWyyHfeMVJmrPzsqiT3tIrpLaJ9znxb alAFYltyfpomIzgUckgbxFLejfJI8+u8MpmDEK4lRTwVzeIk8LzRcySmKWSoVjse5Bee0ccXO2hi xJmmkP7LscmoCa5V2pPo2SrRx2aY53cASbse50J2ojJfau/488qbPKFAReeC4cS+k+1o30lKYgTO D8zT7s3v44+OaYVm8yctIeelP+NjK4Pkw3Dt0EoEf8OaZ3b4wvemIjCNTpLaHThYLYnyDM03KwYI RBphBF5F9CuYxEqMHKuLEufDmr0y4LYKIkbr4QhhunoBm5nCc6Q6s6/R1IerUQEP5fRkdTT9TPT6 56aKrx/kDB3nRISAxmoBQxp4k17j6LasjyituDCpyryjIjTYHjR+MQQxqxTx1VwTvaK6FJ0rLH0o kcazNwhwvBXj9FP94374xeaQB6Bls23w4RFGfGA6qRS3f2MS+oUun/BcGcO2oV+gG8kncRcbBzkz JclaNgJp1l6BfDMzfOXDvJn2jKe8siyg59ZYGejfECdAglDfe0b42FQ1OeciHRIPNn2j4XlGDFe5 N/uRnAcVs+W3IncwMu1Soe9DtxcMA+1Rlhl8lgfj/XsqQheZtp2ucoaH49Y3ZFmQAfMNGJeRHRnz 9JGGygnuORxxA8WOHLqZWRG71JdDfU8Oa8tCah4o2ruqZow+vClW0cnwxd/Fmo2eZ4cuF41J/li0 keKJp2Vm/0fHk30mAHRzHaQNGnRQp19upGewUECK4hZomEb2WEZHOet8cKzcbk4SgktpDokzxNeW U0udXJ0X9fpFCEnhTGMZ9dDBmgD4Fewarrp5DX6tRRYuZEKsku2lUqujodlFjRRjbh/3SyCyEenL r73+3wMb2H4Ma/TmQa/HkNVk3ulh4TN3sdvCg8aPV/pWcEIuDHxcgE+x3pdJJbptNYIl0OgLAp3w 4rpCdaLVrtk/WP41p1TBh7U6c371AF8zA3mxW7zUi5FHuEqBYYzxZEElCuEGoPKviCAESq2gABvU 2BRiYh9fGh14B96hyu2KMufC2YYTr9in1yKxhtrSJoFYQLfAvck6WZnr6n4opDsV4tbjf6qjCnA3 w+P4YFFf4YN8Qr5qE1xZQxN+ol8D60diV7t6RllLH4Dz+hAWAHq2D9w87uOhLH0lYyrJ/3eXjnhV rUl5AjOn6jaX9cysmic5FqA7HMlC7NqdBTgDP+ouz6z3i2BI8Ug0bXK/octECfNXl4AVEQX+DN+K an+0R+Ldlnw9E9UpF+mu22vB9cG4PviJ/Rj5UY+kBZHqWQ/yCGuosGnZCP3hiQByMOq7mPBoBDBC WUVAK280qJdY6XfahM9B++EvHxZZIQU4gxyCGCZDFNTTOC7hH1WjXsq2438lRPaV0Nah3LdfyzJZ zTBq00//QjUmsyTNHlzATLrbOhFA+DhO9dzUvClxxkOvaRb/daomS4CsvOV5eLiqBY85DxIpKGPw MXgzIR8rS8Ee5qxFPdcmMhAcz5TQDxhKyFQcjZU3vr9otTzyVa8q4YIre7mW1YQ5Os/Otd+gle4H lZXdiX9wWYBXOtLL3xMk80/aOvL2kZau6/MrjXJz5uDhzClMkTwY7fEj8UPJE9M6wzIwu+BgUPzM gxqjoPi2CefIeAauZrty6HAzG4QMHF/Spkm0f5lWMCyw1H/6kXHwdJtcsUPI4MLdiJ5JM/EzJLy4 3zsmcl/3AquE1reHEa73o7uUmQYLcadh15Gtv908iAjH1oUxjt1Q2fLmsIP3phc7JeyPzUH87zM9 lymvYrlN4bBCn7O0uIv9O5d95uSPzwoKp83kh6WwruhAJ9R/WpVXX3t0hgM3cIWN+sybhxifPB50 qmUZ/RyvLW8nBVV5Ox6qyxBVVuk2kPUX/fJ7cJhLxxpGgWThXyq5lIDUq2MJKluRErUqfQ3bdMSs pCdOKDwek9WSd9vQOtyvv9NXp/4XpvFIODQzS4dRyswDJ7DxKqbFYZooeBEVxnAaa9X+KpMKWwuP 0TTCeJWoGesRWUyWbo9TeqLPq6SeEpyiCq75kk8zpyBIQlMG1oRm7rcyroyJ+uvuJfpOuwf0TjsK bbel3OmVF1IPfZ/zOyT32b64CCqp91FuftpTvy4MSZeLeSgfJhQsodnlmSvNgk4mtJf8v9yDQoSH hasBsJ1IdMhQix/OYvqV4RKgdNArB/aUPCG13Nzd0vPyAKvocg2IoaQsNFdFMNJ5h/YuL2afvqdr 3ZX2DO/Co/d3Ywd2bb7gQ026GjI2vpMcV15y+JB2himB1oWWCJ/PGnW/sHZIVN/JsJUxPqomHX2A lFkDL0w5GM06UfI4OPzwYIowpfeimlukAViXdApCIrdCenoUygFgTGt505VK2lPsvKHEqt+UZgD1 64fzXlgQTOdeOd28GacZDnOE1KTMD5gQk8SEFBF8dsZwckAlPapX9ngOofBLICwlbC5nc2srPLh8 2Z75RbsQwwjRwS1J50VumVE0HXeJbvH5SrPQzx0St8gH+s3rdNGtHX5Sz/IocKMC2HwIs5yJ9umq L4lY/yPhx8ythwN0vdKu1pyaxtnHFK7tWkHLooZ4TxZlle+haZgTkRqL95tgX8lbuWWbxdN37oiS ZvTpCAfOIxOHdFdTyDr9+PXe3Bn+aI+9Vac9+ecDIv7QQTCWL6zsXdDhV8QWpzB6eXe8nIjqwFEG 1Tc6japs0S+qif3mR3GkhsysqdxNjwY2eZchJo92R8EhvXpQrt+HobinVjEfu9oOVTqDj54hIIg6 /SWhyfq/AbtR8rDHRJiO7rQbqdWFXDIlqy5fnImRujXDjz5AxdMDtQm+ZHLrPmPf9ty3TtbgUx9l LlYKVRypoQzLl4ZFWhEvgSCg2GvV+l8PXdROXJxP1IMn16vr+G2db0okwuIn+EYEbGiaeawmW4mE vQ/DCKuCoh9UVGhiQ4qic1f5ICcaGoSMm8kExhGul8c+48L9uZq7ZZKiaI+55yOz1RkqPinzfkWw xiJNuyEMy3i8i8CanoAi7MPC2GdJwkGRbMZZwXI6S7m0DacC9Xy6PiZnPCw+FF8B6Vf2+SxYBVVY z8dr/nLrYUdDovtvEJ51nErA3clZ7W7EQbt7WcJnrk80Qj4urpJbZSYgjdwE0ycMgrorVfQVb7U7 wts/N243KU01xOaJgW1q5yiKnwZRa/NTVUvzz1HIrZ2v3D+uR7dlvXxU0C0EBbHiC2DXixJ4dcqq y5zkb1CMdgnZ01DliZ2SOa4k6rfzehnrBhOw+f0Z9K/GhUfe1d+zwg4wTVNTPYJlULqgR0n768so Wy5j5Q3Jr4YZrHoOCxxc6yh/JOZyOPUwBUyCaPF8XilQgaBopO3aJBwyrJL4BFolNZMVBDXcRs5T 3gWCDGh1lZLdrA14RGB0fy3Fzr1xELJG7IpaZCPJpuuxm66IJOSAQPGWo4Me7nzxN3kvIxP5sXHh LPUu1jXZxKnxy75djUXMt1BkaOEfW+z3+Oo3p0DOamcA643wY4YfrA01WKVUa62C/Izx+fJ9VRRV G8aNohPMbldZ7msyIFGPodrMGI386X20E7SDU/YYeulQm9TR90F8QyYzbYoW2kJeOEZ2VLUSOhH7 TjrhEQ5OS9+nSvEZxkKGh919R49my8XFsBms7w5ZbLl2Yt52YvS0vxspafF0FTtJb55p3dw+iTbr dJr5x1X8ngY3a42f2xx9gyWD6TdlrigvM/umYMVQN3c9abeIw1yXh85/Y981rtZmiEE67I6GxzK/ Wl/7Zybo28faRQXOQucAepA3FwjT6fBJ3E/u+gNSQ1Ab2JVS62L94i1uhhlHu8LiKb+wME7my/t/ Y8MPGuJG0o1gglplBjsjPZpbmBm3DkelLFMO2ZK8to+Zam9xv3g+OCdwcJx/WDJTVCSn7aBOFLkn xsIMDRMvuFgRrJQJUAKV8oIwCmLyVexFECPvMCqX2wS3UGodXtVwzhKZrS1n8EUzIh95a+wFndZi ORkXcwqFx4PcZKFhT0sOujZhYJOaJjWtteAcuC9UReH/jGI62SR/2GGArmovS9BGHXR4VoxZZwC4 nUPSWF5nvjaYUSKGMauYVlb53Mgfj/NsGeBh2ZxlSrBul7xCiMRG2S+xveBOPPtXHxZ1G9C3CrF9 HZq7zUjVLf3Zvk+jjX/F/Jm0lx8DUQV0BjlMVKiu8UbZHiyxd2/YsNsnVL3v85gBn+/tjqM4nGsJ UgPOxQANrNQNMw7kJvsNT9xNRUl29iRWbSSL8XThmzm1Zd2ot+Ss0YKO7TMZOJUnjOlodRpabT8U 9WJrPK7utMCiuq4QztziTAZkYYM8OdAyQis51D6WqM1IxK5NqycQUBXrAE9qx88a6wfnyYNTQr5V bAah1u+Uom2AJHCfGMGN5sQYExCJvfsYcOhpjO5i3TP+JMv+0pPezA6JSJeKEjqt+eSofScpSfpa VS3naccH9Ne/u0KexIxzcf8pcKJsUHhGVTQuMVJgjd6LdN47zWK58UsV8bp7ml+oqX58MGTCTzr7 B1voLZzgOgN9UbLfs5Bkpz8tA+8tf1joxP81z00t/ms/UmDOOyAbmxZVlW/KH/kZkNiZUeQYdtAF 58hL9/0J1RGfR9LWs/QLTUPLSMGoOoqfoqGtyJcCDiyEQ33wbPxo34oyBSBEisVgCS4ffwcGFjdO gi8fRHLDtqm5kmXJvtAJJ39y/CQUg1ba9kAKyqYaAjRku9WnpeFud6YdRbkZM/Z/oLF+0FkvGZnd rwTi33qZcTCbUmLc8mjZjHmp+TZbhihmnsbRMyHkZue+KLlGSRWohtjODIZKtakWHG+335QcB7PE ESQdvaIDaFbcvDwpjF+TBQpqe2iTOIBhGKL/mbIMNltTJ77lZdnzVTMGRyAvBynG4lyk+oU4ou0n O8VZ4emIIBj8vPGkAu7yj3tTChIfQj8+sJSMy0hdCnX3BrYQ6kFhWt5bBv7HGIHrJRN9AHaQLBS9 86Qyy8lQZpIEX8GX7GB7QKoBIoiL72Nd5laqQAYI8zEw3s+7ZEbONY7GqaivYbhuizmoEAKbI3u5 FIfv4crEOQbtCLY6UZdT05DrKjtBP/hfy6rTYX4K9Hww9JIsoET7FFBBwjaP0K3ZtrW2vnhxb4Ii Td0MuWkeZBGRpngeI1wHR4qGPQb2jsVD2n+8zlluGIxvwkJ1YNGIgz6BA8KA9axvh1bwXml4CHHD S20gdByggeXFCvgiA9sjsuTLDwWUWIFwFI97ny8eVrANUwcaE5mTkWYF7Lp9K6xdMdvnYSPU07sO Tpy9YXhfnf/RDgBwqNeRnxtUxjFumgj0q9KnOOPqhSrWdX67ly9CZ7uJ0aFadOgngwcWuxdbVUaF +V2giviYjgXAnYm1MhT9tng35o257D+HtjuIgdQEcyZVEtV4fiXyDqLhjBKKppjMap8frHOA/PsB PQxrm8kBuiSxod7ru/rmvjjGuKRxMi9/uIp9wGHwKX8TJ/tEnLl7Fdce84vmOakRGCAbvRMMg9iG vYBUhw0SWYJOTfHxyaQtI/y7pqDwgY9BUCOx31eClbhnyu7N+B92o9Wxmmx5+rB76kv8pxmBDHCy 3h0E8O4ICjFiADGg9Phyr6YyGDsVbl3eU1lHvY3796V+0SSO0PgYhKsp2gCrGjI58AJh8eqHxD+j d24fTCWmK1HoB+zapfRQwuKZvdypblut3dxHJWr9YNBBbs0V+SWO/bwO3EuIgbb/LzaKb7ea4fLf 1J1jw//1gIsoTOdzTKe5b6O61V5xx3hpSH5/pwNz2KvTfEryxFPL3IOPLu7SbBb+5JqvJ4CCEzkU SJVes8hYWZ9HaOYoTpTzu0TT0RGjG1wwMQOOx0nEZFn9QJcsEQtgNnHTDMc8/QGwwxGjL3Ig2XMg RjKPeJE+7vHOp+pHpkLYBEranFfstIaj5vAVC1CdMocPf/UFEw3y+Pkj/o8/zefmJD2jiUuLcvfq u5ZCYJco3iusNWsHfjkVVcY3Zo9zgkuzDMOESUMZ4J2hQzdhKGVh3TcuVvvHz+NxrjEumXvj24Ub saAxA5ZunxtVqw/FakJnz1C4gN3V8vYvJubhYEc5u2LvRisIpFcNewIa3C+GTZhr2izer6V+XAXW ZDkJmbUUz/ukp9Fhoth1Y4yaOq+Y3SvfG5nWdKqLcilaP8WsqC29BmfAu4D4VmpzFfoFax2Oxwci Cvjgt+U84fz6n6P4DrGaHuw6BCJYCHZhTsZUvcHRbhcjm3rIttsmQvbGXTJ/taDAJvz0V3US9ZlK D6/jmIq2hEsY3GDVuciGPovL6j2zr2Ack6Aoxbolca4t8l6Y+HAaHlSAotNyEAHvJCDaiqXKW1KM cKgNQjTfZjtSaL5B1HHCr+SP2fzvhqX9UdXwtB6EUnJd6MGtSAd+5sGeB9fehWHVOWXDoTEeD1O6 zBykWCsxZElVsoHyFQeOClZ98iToI3WF7aBBTnMXmFGglN/docdmsBSntpmmYLhiWukm4823Kqex 4ZPI33Ad4uhYi086qR5+nMcDhRQwxn1XinG/p2BXOzoPfFetqu3M+LXR1YGATKgleT9Nzz5LYQ0d DsKeS+4O839B1jWhy643acecUNZUxPBzvsPJeOc9Sw3n3mGhL0df8WAXmI2Cu5TdX+uTxylEHz9V eFujak4cAV1rafDVVceh++FTHNmOL5QSL/A5ip2g2tCeMy6ro2fO6lQNNdeLiXqij95SoJw07kga bXD3+/CKla3AGf7Td+V+HLmo5lW7NZq3eLCo1+cqbWCDXCJ2MxsE0kvDE/2cSq15v6s+2lf1w+gr lqJ3LSn2lpserYQGOJv+PPeZ5HiCNPiVuPD3Sav5av7TOZlYcs9/DgiszNZ7uOmf+CJqVh4JsZH6 yUqXpKIY+BddC3Tjbn8b40HX7MAC1uf0Lg+eb1SBgPSGFTgAKfKyACr9YBPb5b1zjxn2kjl7kGw1 iBZwGkZOY09fJ6YMnNffn8rZhBE2lAyF4MnSyV0gURh34a9+1U+x9yS4CTIQMCvTN0H7vHUNUWkN V9bEer2tOn23Ssvs6eLT/8J9BPrQmQ+JgLkQhNwJtX+VKbjTdQV9nOTJXirmFRPZQCwBTWTXoT3H glKhyeGHKDlUMX1ydz0WUs5xJxiooiEx3Qr+toEB5Su1K8DuR7IMVFCF9Jm0uHrv+P9/QUkd4jMQ jJKIZDpPVOm9Q4DhqLrwJlpKHo8N1LkKST+uKAFUZvtfb075uzFL+TITfPKADgl/8kZtGml3ijLM eq1XqmDP2axljf55MjzcF+GVl0Yfy/LySZSmkkSvGt+tWhAEFEY0KooVzdtz8Z/oJQwAaYyMQYma /sAIIkodH22Dr0CkJ4EM2uBE21hHTt27kwgqL0zc5tLs9CBaL4oS3rrwDXuG+5rPgAoeHkqOOLA9 PYVwpw7Ckt1TEcEVlr4ihUj9QH7xvcKvJQDvORkawSZxuW/2Hsjj0hTPEG52eKtQMQLMF5XGz1YF yssh5Br2Rypjt3/1n872GztT0a+QA9TdiBRNR59SM4X+m0TcJI8EDT1Bif8bJ/X3vM0IaGPj4XTo JuOqC1jBtEQyFMyxA9nJZdJIq8IbLDprYYUFanLye/K5ZtN3OnLDUGEQeVaBlw277zcTJ2IJYpwi fHPcPu86pucQfqfyo6/wUZlJVW7Oe4T7gam61iXpegqQcG884E7pWjnlLr6aVP7aXnorhV3XJi1O U6E87d2k22iK3+K4KRoyRLkbxmEy9xMgC8wyq4TXFymF7MGQWKJje3Cc32KuOJI9UXclrO7ngS6n DFbE0bkfi9lVUPBqfGP2qZvgerp7qOQ48KmFAhebPcMTaGOnDUwKz7cuE7mXtabvKXZehYtTAO3v cAHBmr8ojY+GYS0iu+3Shp5L0rFwr1VQD+SR+FTavjOiIj1epIEb8NQ6/c0xg8pzgs5cI32dBdHQ bFcdjSW6yrPsnLhIdGJGAVsyEfFfUFDlbjnZzvawykPcjwKq4cnh6LG55v+qpAITgXDtwE8V5tOH leoe3FUwfFZfehy0ix5t5252OEjyRMISV4zVOoqO50TuM6SeQtYJK0ywy6tOTCHambyswHCLXZIq GunfhvANQzsOOq9EN0wNPSHthMjNY80OisFrSmp7YzUt+9oZN2tErH3rd08ediD1OYtKRFypBV2J vDzTBwCdeZMUMywWM0lbMePzjzRXTWJKXgEtra7nqHeRu2fPi51BsWlbm3BOMidSPxNREjNld649 P3bBRTMagKX2wDDxD2tDzoEbcZuis5FfBnr4zuFCFoEHhz0al67GutaCY+TQ28y+tathqK1VlQzF Id1fazoF+81Zvr4y11dJlVAjJH4ipuI7aAib74TXiyE2MESqG2Rz6txcb3aGkuH5Dz/+JoxfOxnk jZinFhdz3jH08IlGa7geyX5YniG4gZ5TQfz2OIlynS6hJPvDBDFeDotbA3xmH69WTmN8Z73uQLdK zmuo9cK2XCVEy5ha5lIfJ248dB6R3JGEdifbKVMWs6N9iilKV6jqzS8GXvJU4h3NxdepA3ifo9Ji RlxA2qwr5IviOxIMUQQyOVG09zc/l0moFUALu5UKwx2P7kIJi/mVzMEQOTlk2NosTzwjlFZQsuuP obeY4EpqAjFlx1i2pl0YE5borF4T/V0dsh9i+xkyYUJINhguyDJbV7Ye2EmaY9jOsBJ2OumhoYWZ BmYMd3ZuoDOtT8q5jW1Nf93k07DTNQl2NyAs+xFFQq85n4c0RseN8m+X5YsxNYOdoIeIPKX0vo37 pY2pl4nHGo0fLvoDWo9Eju/sw2smBgUEtrhOiKF8lMpXEyfKk+v559CrJ7D4OF5lsBV+D4SqUnoI dpPFYMORO9hqO6tqf0awJrMsRbYFph8Gec8kmJ/LE5sxKhFV/TiToIHv+ACpAJVLxF10QUaadPwP mI2681JmyEv+71hD7ay1dNueowKYyWSCsdiWviNXbxFVwPP5TsPlT4tSwxjKFEkJB8X/zVb+lWjS 3+7N/WGmjNn/pl0ut/NMY1sxxQdmIu5t1CqrJCRtQuSIXsCTQdafkiHppy++u6HZWUyvdpFFn6kB LctILQeAqwBWfgFXoQnAe/u8GbscoaNiFgT/jHzWgihMOTJkiPD+jSYG00o4Q9QDpDkFClrznWjp DIKeq5Kw1aCt4xnQLcQrJcFU2n3s0sZM6bHAGXIXL3nK2b4yo4ptwNhx3LWBYdb+EGJi+60BJdws B4WZmIq4gW2o8QuGPmtOJfFb3eOQsg3prkgxhJ0CSW0YTn9oXqtkSa57tXTo1lKRZBzhHlVixUon kYlWlgBdSdH0SXnSFViej8cM2mUTb6I030NXQv9u0fFZJxl7WcpJabE/K2qbTwW/+AAcWDCf1dvs 0biqAB9uKTYfEtzA90A5qx+ht+wP7AX3YfvgBa42D3Vw9iR63gYCGpsnvK1j14FP2sPhoFFTLlKY rIJ1Myg1AUz90w0hI6V2I+liysWHgkrAXtbR4zZ9RDrEbNoW5Nbe4bHSlY2AeFg4rd4RB/of8eJC kHD40fxhXd76K9juZ2PToG2QQedzNOxxpWEDUtj2pOIAS2nzcngzJUixyTRygc6jEd5Q4xDwEF2b iMkR7WruvYs3qYa95zX7x08Ny+7tgfIsafKktOHohvOrX4AZJnxFTRKgo66E6pE8ieXu2ALUOmGB Py0Uh+7djeqRfDeDSBrp0F2Ip/cwP4z+BXYYuxxX3ViXJZyEdCOfiJfvHQ7nugefNEmu0KFn5nDR QSvPS3vsa4Z7O0dZeJG67UJt3+cJpO/73zN23KFK6FgH87MBtzrXdXUvCFnH2AS0ZQB2NvznHQ+k bDoG3Krl7ONWJDp68XmCd67zZxdbjJR/f2VafXWJkPIkt/UIIgvSjcGIvHCbLqg5d339MXrsV8L+ IZtOnqVIfflY+4L2RjdiXfuituhBQIUDDiKQZa/aExonn3Zb9l5LByCKAz0MX/MdBh0mrpph0/Qt QlH+0hTDfS45vPF4Kx1vv73aoGTpsXISjKYtJLLqvC/KV69UIXyhdVVtZiIf2MjgA86mt5ftoqqG cUIGQzLPMxfJXqLZGrWWYfwFCp+1uS/qbksnnzNOnFPST9E1WFkW7AX9bQQnJH94JOXUWtZFMOxh 5fKnc+WkF1rkGmNKBU3ZNb+GMwl1GkWrAe3CD5mSHuwAVdLh4sTg/Eel6fG8tuWk026ySEC7OjRm TV0ZI2geeBklTN1N1ismpFS77/9V97g0P8jqjLCfX8Mp4EzdEJFG2CND6GPP1ADCcNI1dvwRLRVT jamflNPvAYD8BkitlCQQ4gdiF7bQLjecS/WZ7+65geM8++rrPKX9o+nLGjraPMBZ4TcbOiRJLMEZ fBfHjM0fy0jIHte6Qn12R5Py/NLo9DPNf6zgH75icWiEa/SeHeSZO/7ZedC2zg9WrohvLPrFfM2c BW9sgJPLBx8SL/fEzL3j1bKYIDxrisPyFZy/7yU3JXQAa5j80dKb3qLaiXZLEeTyp85X7FqLArN+ 6LDUCyOhNLmg55fNRtYM6/gGQSCmqHPrZxJV/K8lCpz2I4gTF29Q52ZHedq/qXxmQ8kGeAFnqprH /SXc/jn/KcGU84KQrHGsuvOFEwi4bfYtanhxzRVq0IAAQznQ2BEjLQbBv14ctItzs6dwUZaeuugd j8sVgsEQPPV3rTR/pjUIpc1U7czhT68F85bxGc3Db2q2+d9g3XGULuSEaGQTVPIXA5GjFcCuPL4T j+/aLtd34Z5bkXr+yXG+LHQepHqxk8T0rei/6SZelIVVbulbAMZb2qiBJYu4cmwKstb/kATRV3qT dqECizAQB9jQdx0sE+LvFNWb27LF/m5FwKTZrkRowf3Ag25ncKCtnjaequigRDQ44Ik02cIgU3Co lWpJWDUDh+wwkWQCDSZxAnD+4WDxCBIO8q5lybN4IAF4pt+FCUzKWj+eBGVoh0FdxH94uiXiG3dm T1FfgQ8R1ME1Lfx7gdfA0w8HmmB6qTkjxaH+fNyhd2knVzkKGYqqbtIiQPx0gN8qzIBCbHdfpTR3 BvrPX+SgaoEBT5dlQ0Jcw0lhmlbaXqW0TIf4l7qxbQNt0AFnfzCDGyrRdG3fdi9EWbpN/eqFJVwd LeGQ6AlBYb8qOPsyKljZ0GTAuLcFCnu/phH8nBpopshsb6tdeBgKZdV8oVj5FzG1l74GFY4QdqKK PlzEsKdYTLu5Vt1cR2xWegOvevF0Q1bv91czJC1vUN+/B97BTvd4Sg8/nX/YGFgJjKdtkLFepzwW 5RxpdkGKcBboOHHRZ8vlrCAWg8KOJ8Ulet7r+iLgrdRADErJI/P9zHclNrhUskH0cRcShPc//k95 3FAXi4pJAUxP8NZAWp1c1pzqeCt1uxssi6DMrv8VzZk8C7UEPQicvAcrMvjTzhtg0cb2UttcpZCF 1pd01msRJApAdlj/AjcuHlJVbZ+A0zywUV62eG0BWQu8CKL1iXYLepi+5+MIe6WKij6cIaIiHu89 y/AwdOjQvplhiQwVWkn9WveCnTyAKAe86Ai7SYepekyo+u/Q2OVP1I9MFglPtTXjVMnamkWdPlAp WYgO3FGBb0JWSE/Hua/dkhFHGvCsLnurI8p2Y0EZ3pg4jWjvKWtw0qm6kt7Xptn8kNdQx22y0Rz5 /KrjXV4U3oEWgbFwKSM+rcRMPpH8YH6DJrxMh1ERusUv9RJyhX4zLuf+KsEoSzstZ1G2w8l7X/2d E5qib/l8tOMIc7ePzAIW3da0E5aKA5TtKotxzSZar5+lTpwkxz2P9MwGeYw5WHKX6hRaiDmhtdTv ans35+McHbMcRJvc8lKMNDtM6YkzEgIMdFI4BYv20fUGlTDPx7xGN5cZNUA3G2a17lgCAZ0hkFie zIUZN2yu0XIrM1tT/a5h7KlssJb6xaY+Rf0/ybTCJM1afmoJvPevkwqG3L3ieAN5soa7IIVFixZ5 j9T3bQN72DbO3MqynwgVx4iassoPgw5+yTPByLcDCOxG847u9rhzeiKoRyhnWEdsz0FIXhkSyVKJ U/wuLHICu8JcNYdmUeS8BcHnu0Izjf/vkvWo+Zs7UEgrTp/pTMv+mzwHACmcIUAYf6A8jZc12/R7 VApQsUv/xRkZluxBpWoOdW5S9AbpCeCbjXREplz9PuGW+VTds9QvcV78L7yBJlLz1maz7qbFYcRz FahgX7D8NsYXGvexLRVzYkQIWnRzN7sQ6eCsZgul0iJ4ahssbKAA2Ua4FUkXQWfVjxRICMIS46uC t+2YLdWm/r2yPrFGuDo8a9mgm4OObCL5zBPSVzhH9THmLgmiF9dF2yGBj0WoHnxcOPKiOR8AxxyO 9GUsrsOrenB4//rOIPf2me7PBu24qj9Ve3u7DtcUpsYau81cscJZLDH/zD+M7vikqKO/SBdxqLmG kcU/x4lwyHsgtPftdKetzScWQvG+sxQNoJzV9s0LZQvH2omuuwx7frPabiiolrFgSpS41zF682TP rgWZ+VxsdJ60UtzywemJ2OVyu8m2MkirUsGLR4rlmIhQdRmJoc7zWpYE9C66hU0tHWcKj4YCR03r xT2aF7NMV6jhGI7mCM4JYf1PND6jSJWOtn+JV0UhknJAKFwCxEktIMixlNtpAqh6gUkHtsgR9E22 EpDKXRXoDbCy5eeL0PadxPYefkBiIuR5CLAmZiiyIgREsebct/oxOnhLQy37WVGnF41Jmxr+vQq0 nB5arFkRrpuYssy+fM5ccRE8rvnNNOb076zrXMTxdZPS/lYdzp77DbQKUfmee3VGMh3dlSY4Jybh s6MIgtIj9ufzzNLOfoPsDCwRVVy9BOa3IHaA0q6b86WmvMTtTbVG7IcOT+tjX8EIPe5AgfAIG6cc MAUNI7+NekaAm2mtOQDSezr9puMjFegbJudYj0BM7/yug0JmFYgndsaOtfPRdgy5SeIx+hZEbxmh O0NPet98cggtqZkFAN6xMium/JYjLQGJiHKWaj5Hm1+5HuEF2qGs+1W5ITAT8M5dNQawpzOXBibS JI5/ECFefoGammLJQVkzlHD/FW/T5RhB7cahlU5YvfbN8AGZNvxecrMNV0kO2GXZ49yc4/X3MCU9 wly+rbGCBWEsi0qtx6Lz/WPl2FjEhjGsIIss7OlInnpo4QmGeLDP+fQwCzJEpKb1LWAK+Zbk8BXP +ZXGFQOm/AxdXxDqJ1vs36rEaFL74eZqAw+O0+NV0WxvPKpQT0umv8mSdMZTD195U3IgC8XVp5LA VdYMcNfW5wY/xhLmkZK5RxzDHm9yu0dE9t3BLcvuP144n92nspaiQGL7IH0U0EhjLhEPWL/2zphf D+/qXwbHZS9yrgN1s7Ub/7/xnxYMGDXuRgUrXfnLHvNov4D9wMghgq7eVBxRbElT6/BMfdKeEEgt u4Nh2itnVUBEtnkAcCHwEn75BxeUoXjy63uMgkKwaR2CvQlmgXoHeh2KGm7t5KSh1IG19Qthn3qP tDlX4tha1LzrRMOAaOqQ0dob8yxNWNd00rN8Y60aPUfou+RLAi8qenEgm1tWvBY2c1xAMdYdaiPM KF1G0a5QnH0JRukhS6modlw+1CaA0jijwXmqFJaro8FMgk0qaC5WGNl2vNePWFEmpQNOvInJziGA dPO4U/Zoq5j2zmR3M/5KrvmTEFFZzBn3V9zzS2rO31pBhidlZCVXPw+noKmtCotNBnAmO+Jcrb7Y /tAoqf9b2/4GqLdqPhiWgZ8VhG37i4DY3QsZBqQnKVLxWkQlCQebBl77WF3pGHOI8hV+QoF2sGQS 3+UlGtc/IincOHYMowsYCrcnIlH1O8tjQZKeY8BVY34f4jfIPXKtOa8iRcZtVqaRR87aE7qf2fvn zzk0CL09ySfCdK94sopzc/CIqABOx8uiD1AB0FU0VJmPwoi9VPGrKvpRXpfgduOe2ZrrhZvuDMoC I35AnhDXZquVsq5A2FMH1TGGfAN7K8BzSiXjchXbe+Y63LI2LzBh6oQTQG2qQfpLw1Wf50A4q/lp 5PvsJkZsuTNm9EtldVnF82FIlPH4zOo9MJibsPOD8ZiMJgz160LBTTlyi7jetzXIN8EdrH9Twftw BiDZVGulx62sa9j/dwGuI6XuDdk+VUiSegipDRs43ySKnXKc/Fnxu50VSmBz78NDBDg+qIGhJGtJ esgwFK2kZ6puBoJ0xbCYOX5NaJdMN0vOOIYm2LbIZ87EMyvSvfZRsguwlYoHEO3sGl+99aE5eUXN vbYw+LKBWczMLhZyXuDwQnUmSVP9ALDCnyweyCnTXKNRy2r11L6wTriKaYrjbyO8skIvxz9q21LL Pl8AtIJnM8ywEbpewpV75bShg/dJdE1DHHP9mSuwfhuSGsunRCeJvnCol2zd4JlmqbPuVzQOXObA cUgqJcVwVRXSxdn8fac31i5Jvo5MQn8ed1v7NvfcxOa6yyHOmubkRDj64PH/GQwPqh28lCGn93Se MYJoD2v2SNFauva65ZKbQEzBsIksbzHyje/kuDZWjw6Ai3zMhe1rD+7IC+e2wMCvzp80gehb7nih esOsP6ngPgyVM4rJTDMY98kkUK+Xizq1rZM9HGxawMEL/C/MCS8jG5iBdYcG8fTA4SkbPI7VVtiJ EnsgXGSiHuBESMKOBfDXD46v+XWNZLndwUtiCqJP9nequDggLPecsbNXpvt0UvQ2z52+e3tglSRm 7GnCOIpkHhjKnafX+TTYJGUMZju1SXVJ+6d36k6RAHFDYgYyZJUpneusTztSBlm8m1u/MhIWz0rg 2mqWuBTm6w6Z7AgmMqi6rP1+YQRBdBYfXay7JXhJcuiEl9hZfPQyx7LDv5DttyeoovyURkn0FuPY hxe50s3C88hqgsc3Nzqrznwea9wDAy9SDx4CeDzvKMMjZRNzi6JqD/0SKR8W33eMp4kC7TM77NuP erQKEXCOrKrSyKk1azp+plytqKJI4DLKNUFxf6V+HrbHD8V1P+bkRtuBmeqNh2e3/7sFyun0Nv4/ TxsRYSDVtVHa5A/Hqt7KP665MS0EdHVlodwwTxaY9VW6SYRp6YGH1sMoiT3tXB72zw+Za0UnogCs ZbSr+9oOR6mKqqHXvx0h64ouYsOBsKV2mrwuun1+g/WDrESPy305Wwo71pCWTt1DfQ9m+/xoqqh6 yl5wY3CI0px6EnDpd4WhJSrUmFWCtJjIuZJ1+l2hmHIO1mIWy+PRgxa5mWcgKPr8WS6WgqcatRyi tw6HB39QD7Fuws6tY3Kl1ksUMs2gpxuDexXCoyVlZgEsxaDLQFsd7w3UvYfb+nghkK2pgM1Twhte 5UeeDNXdZ2tntkfRBnHlo1MbFDntdSvgtm/LiQUNrmJ8vGOHnoTn5bQxgQPZ9xsYzF9HFl5+35nk SuOIoGo9ullwdJNvb39jjIiLgpZPZ22zNn64RKtm3OpK5RVMTe/1IxspSGSZ+e0P6REsyORVmUZH snbnaMC2s2bZ3KtFpSrf+/uOsAsz1QbuO/ZvRKZo5TCGApqZi/yVTYm9Pf0783gDp018U35o9e/3 wMFCF9WuXtRXpxiMQQS3+KRpTh01lpJ3INr/y3HfwDr5MeGVXtCILhIAZ1YhufWIC8LAoZvoV+5n Tp8tlbvYp57yvs2PiCRsnqiDdr03VxZE62WNI7JgscoluauIuAKPtjicdLPzzXPhlOZdGqpgTd9C Hf38HEVEfbjfSz6sc3WM3cfHk786J7SAFAruGhdMFtTPUxIF6onGbGiMjJ+a6nhPZ2BpJ/qv5loH FE3J6ir9cRTpEE825qjA8eo1CxytkOMC7nUhF7EOGVQ+AL1pVxUcgSldGneuZFhJsUsP2YuS4LFO sCH5fEI556gCK1ANUI8y0tjPbQQCeUtL8eGZAiJ6OtutPmrZfDgRRvZuKntSk3Zu9T587vXyC+z4 LDU/OHpIVTldYQMcEqpOA0igNFCn1o2U/JIAvMFl6Y+PZqqqSarA++M0WsAn9k+O6FfLxMvVSxSM z6KervJrsDDCajahtFGhUr7HadxOq2FWk4Bf4+CSadYCHSVSw0fuuY13FkMeQRju8as6qt8GOlPq 9Zhz8164Asd2xeUeT2Vpuo2FC/wvaM8UHtkciSGDuE/qALByU/C0rD9GZX64bUWj1gu0RN3+C9wG QPLLXHE0iPUBaT3IEtBEP0EEsI4xu0g4thESH3xDpCz/5mBW71KBaTEhbbc/AakH+px2qy07uDY2 OozNd9QAigJ4p/rKLrmrD3VHaBnp++DsOv3sOi8LW36KefVBwzVA1q6qd3FC60wZmpw39of6Gm+x R2u6c682qP0gjIwSvuZOPbbUTLSMTMfBnFaTOeAdaeFA3O31BM41M3MYuMsaAHrHx4e00c8daECw BRL+ruVz9W2zX6AtHsfZtnak0SG5HZdPQy2fsbC4XuoBmkE7sgVKDGDQtCCn0w6XnxbVlubU9svY c3/ikOnboU7Bf9o6VqmKyxRIolWicrV8965DUgGJqpEO7nfew5MOL0f/gJqu1Q5Oj7WWW+uRdCZW /WiUURrDNGs57NJ936g15jcb13f5fSBPimxdVcfxASt5Dm5xwZ7mIIlOtiJVeZSs7mBME5vOIbSe HKp5Xt+JTkp1HZx6xSnrOXINumWukGYb4x6IYfySNWZvRVLdN3ceGL6E8WcviYMOz6dSLpY8ZqEK zRxW8EuLmdKYr6nnbT5FtpxqcIbz52ATre8xrKBTU4NT+HElit86HVeBM6Rwzd7hUq77zyR+HUo/ S51svYazLVU3l2yotpp2pTX31c9QgaP/wacXi51+KL77cZtZh4eRWAQeTzQBWSDKzvKFJec1mVs4 k9tJGDeeD/OVNFoqMT1lAi7T4zZ6ZspZk9P1AgyqhawUu22zCfJZzXLwD7GoVjbcFNLChMtRRfja KQK7cbxJQgiKpgNyOKyZO06SmglqqXpXFFiKvBBi7fN/2gF3Oc9MUW0usj/mxEqB4zuDAH3uJfdw Jeso/FWIcTUwzPuqynX9FNkq1uUGuewcfI1QKjvfcCWOCoqdhH/AP3n3mg+9FGVT68dMulMhcksh ISarDVsuwvtyWB0xL4eC9zb6PgrsWLihQB26Ng5BnflsHjKy9uVA8YxmRal7NtoMuURo4o71WY87 9qoSBWtFPaUtBAMeFqZliZ5BVzdx43sdzOqUg/ScTM7iAVX8LDAvyd/3qGPjggvXd2wD+Uo1PD4p Ek0mejYnUDJZS6mVclsAGfKCEAMGf+z8KA9+dQ0H5nvxKu6UOF7WS0b00ICqct+Py9ssop/q869c AKn9cwe0BLPfzW1dLzO4E9CzN+wbWHYe5d9QxVndNQElKUjGLdrbvZeZYA+P9iajaei4+XtoXXE5 uJ13m1bjsI7MmRNIqFRYPmv84cSoLIiHBPVYwRKKUQWAwv6rDO7drbYHlgCwnfaM7U7NOKnR0pE6 3HsUadiXi8VBkDVWfitwpbAhcLZMCbHrr5aGDyEdAiGjrhFs0Stp1Vujs7S9RN8pQqDjfgsVeHAE cv65sBBtGG3hPNorXcZ4gGFYH/6/mmB0yIui2eQZtxLqcB31dS30r3qwOMKpjPpcWO6hX2GsQsqV 1/7T+7YhLS0kfr+I5wnbuaFXPCy5lAlgZFfCnBWFYKla5NrN4sQVz2GCo0/sZppjRNUS1osmf1eY c+tW+m+58WD+6sTn+aRYXlIoQfI9lWuSZrcLSUZXa4YuH1Q7QsJ6CvHbpm6c9XWDWRX9M2EZniyw 5oQ7UuBMt0qIyLr+gl/CREfd9Ln1s08eLRk96n0lSzSY6QKHl6KSTufIg4BxDmGDxJmGPXTvTnZT /FYVrmn8A9Sz2ARPi+R8pTwx8DkiFqbOBPTxiTyUck+JhgvQVNl+7yqtXTSd83JtmBqkRhAhfeU/ UiVLz2w15uUj7DhCcWPG6oapWZR0wVPQId44eSy0vRHTdHoUv0phpfr8n4YTZbR7rctyN/QaBAP1 4G2HmQBHqVrh3XVcbtrysA8JAq6nbP2DG4QnrdPV2dWU+rDJdOSocky37fgax0XwqlyCA3Bzx0Gn PccDMZq0+ye2hlA6vhkGIdyZk+ivGxrco5LoWh2AUDqUET59Bd5UGXLQerxiMUqkB2ekwIjPxMkN sMPt+pJ16rHlhzgLbdttJwf95uLSK+nobvIJdh2Pk4jqMuYMGvpjhnL+s+OES+gmKcJnRiC8RbB4 X9v7Gs7L4x4CXXg50jn9VVxiR/+qUJv8aNiHGnofKUyZW/39Y2iFOEUMdZfr3oZO/6HZRwUcFzRQ StclklJ/UCl1zXvMLjS3aAW3SLyv3D56nsj91RzfLMvR5zJOxYICiiISZaRTMDHpEoqf4ViJ71DT MBFGVS65fwWOHHJt4BiT+Gy6ij59CAPCBNLoMnkcVPEEH9Vfh5eMKZ7/7dYaoN93lWKuVFrmcbMG GCBTJazrKar1TsL3Dk5PAEpVmTzZGNxgeHwmLB0JSrzIyMoObRHi7YwZBCtOKuRguAJzbSCku2N3 UAtvAgKdB4J/xlzAKws7jEtCaRIOKiBk6vEm9dp0J/ug0EtYxMRGNNVGS2cUn24NAlDplavloKlJ SG8whjoouxfm10ar7TVYgXiG1orCbNebrsejlNT7JF2IvyFWnjtBffZCRLLm5SVzGo09yiVe5ZJB Gh0SvX4QTH2IWFEX2HEN2Y+Mnzt7l9cFbpIL2dNXSO2pudvTOQS47z1FrJo9vsF/UKZVRrsgO7Vv D4/IrGHJROaf61bAA3458+KDpPfazDQxJ8DiXEinsIX5b6uUly9SglmfNCY/hUvqhQRDwZy8oLc6 WRNRpeI0Nhjxl0auwrcZ6qMVJ7zSGWdnx1HxiJntOktTlkK7pB5sCAJuWlTOfHOHi3PSmQ4e5TVw cC6LD8nzeJjrmzuOvsEE2BrDciEvuxqkdKpvDZEpTCs4PFzZvQPOd5lvet6f3g1CSr1s4v7vjJZR fJYltfGF2B9E3ZG4JUEZLZqSitSGDiXgHBDxd38U5TL6757l3NWqvuziwa01hvTRhs9owkOYqwmX tr4usRTIWdMwgLYZ+yUWFMyLuglE0az/qgkXlH7KDYztBfz1nFDbNprCb/5ge8xhaUAhhSHdFW3x Iyj9dLv4r9TpO04/gbdFYdRI5pTg4ANG9qYjS0Tyld62wtinaz2YylLG7r1LL6HqYsr40xgFO5oG EdOCa9vQLdVGD6tVcGTYPvJ390oirqD7NDKDeoCCBy4N3e1i8iv7fYxmY954g0R4Ns3dtwvrRGCU v76ApxlMq2L0fi4LZFB/GCD/bi2Ss5TKrj/j5Au6sUxjDl/LZ+AU2jW2C8Q6wj7cFhF1G6tK5/PO yyXwr39jOA7/efyjqu4cLxZZYLUeCNiluMvsVvhaaaHyvU/dY/2GiWmzWe0Yk99iW3kMiLYB1PhX eRNIHo7BVp88z2Ynr01tGl/BGfNiRdxyWOptc8LuDdL1gjd1Bp1NzHfR6dC4PIo+GH6rctKRqPg/ sbAz6vC7rsaG9nW1kI4Ec4ytsUde1ywcumHGizlYVgrRzToM0UmlKUp3iUKMLqjc4FcneqIxhAOJ CsbZJXRxP4FUUaI8YyxQnG1lFSg76aPeoIGT8UePl9lc6my95FrBJlf1CC8YE5Mzn9ywbb+s72O6 +dz/Sqfg61PVZCuOEgU56eJCyFYoSFqz6vOb3jlfZa8+Ws90lThndNU15bn24+iL1ISyOBcsSc7d ziK03XzBxsjvNbg+i4+FtIyT93WwerefkCjCjrEcjPx8bG99cCDJPMN1HFz9ZC6lEMboQfS/wXjB hgST6oE1LFDbYaLElEZm/MMt+PST4M0MjBthkwzKJX/ZSW4GKcnXp2dzkvqmbf0b7xSA9Vk1p6JH MXLhbVprX3apN8THARuqxktPgO9v/PZADd4AeDE+Wtl9lG7tY+Yd3I90dxB19GhUNskYhhPsVvO5 j5MD04xWc1Uc3YbYTfmsdNfJGv104P6zQRuGF+vzB3if7aHxx16FylpdtqKfbnYClm0Ew2v56/pz wDL1oZ1Hk4nz3dggBgbT3cd7aIIynsQR2mbud//0koTyjc/kBgQJGX8KDJ6Ine8lbzMz6DeoxHHK EuRvNOQpt/PK2SoASAa63z9OCHBVbSVmsXnYj74W05k5Ys89cmASWmhubu16C7wfgHBB90ICQcIl wIRpe1l3b98VIcaJc4OWOgsuxO32JZMvsAifZKa0bLBgoMfUY9k1OAYfYe52uCV3DaS+qSIB+IoS WTmv0c4gw5TuTsCY01hKySnRi8zPA8NSxtwKqC212rapqRqud+Xm2b52dyq8jOkaKvzGoLnFfhQh QyyeLSYCQ5/VTvF5GAkVkUKt6G3SCvmGUzLriKe13JdakIm0KdbJGaJthqaVrUrpoTWpVZ2OhVhE HP7QY0TcF20nH/72DAq7uoVPm8oOBBZXbLUMMK/utHKHfH4IndQjs9+wD2H+UTR6Vgf3irSMXuKo ORqGFD49Ss3yBFD+EtusPAAfJTGxX+KBLuFJBZGZN1AGYNjljbXrlOvMb1zoDHoYMCkRYox/iHL0 rgguln55EBRmNUnMSi7eYKlcHTrNoPfrtECS8Ph6zNN6zAxTUfA89x7FcU8Q3Btqw3Mem+BwA0n0 vdaOE89yJT3tIjBG1wJiwFIvkbkC0sXOhqcH/EQwU3QbiLFVflV0uIurfJMGmcl3q1hdQG6gsBf0 ALQFEtGmHm7Wtc1Uo0DP5ee+33cu9NAKn4tsiVERsbbnPV7F30J6XKQF3camMX6Ptze0INEZFKLZ f2RxdhqsE8kADB7EhzASO7VVs7OPYnvhNpb2mJ6Q0AP+EUU7D/JM18aGc6C1qDu9UkrjHs5nfFC/ rAKix5vtpevpUsfeBB5U5igTLO+b2bJuAmEdqWFe8oHFGpnjLG7O59T/u2U5gEVCyYxVXvef+/+/ pj88cmES9vle38KGCY/eoh8M5QqXYBpNDrOux9TfX7P9Tkn1N1AWZM04YVAUpnZ7z82DpVQIVGYl 5zEOny/z0Qy1w/94jnw5uLKKjgG5OJusUanEhNAZLkUXUin5EZhpLaluFDH2yYTNxgzZRHyJtnUI YHefU+pLB4YE+wiIpT9gyyfzP7IqN+VLhkNThsDNTojZoHHSLp2MZbUxRO1FxnzVj4OAstqovzjB plPenugvWb36gir7ZRQ7UUAcQqLGAL4aq4kz4IZDXhyzY0yIG93yhsQZWn27N2biu7L23QdYCztr T0kD+vpVUl8b4jRmp3loK7WBGXzUfXnLWu+cxnyBL03p7hNLq4VbtmssaFWpAaL9l4DcDCfc8vLg vIpojiKxdOw/a3whzVsNM31KyrhobH7accXFb8APFUSqQbYt/t8R8r2JEgFEKAtHaP9aq9HiMjCR zue+WtVpMLyovfVNOW/+wmZS3IaZeeh90fvejxGa6g76ycGoeCPRx2fitE5AeiKU1xpVSlmuMp6P 435emRDF5cmPkPDjMTTcCcSYYLQsrgQieNRaprrXmiDeXBKZEayiYXSiXafm3z0D/rCj6MhZ3Fjb Mf/e0g2+gWwsWqz8Lgg13zOSTnWTSGcG9gEJMy9QUkCaaW/Tat8Y7ozLomKWDpt2C8JNd9Sosvfd cfGrFDFTbU55W4IaG6dffqzfAYRXilNPNHJXj8UXLhJ1bEWKVM13dHmwR5Ht6+6rALFQcxKEePqi mwKpthPEtW/mfKPPqF2aMdlUjCkWKugW7jUN4aigu6LWheV3RsXITs7+KMrHTapjS+Jq607LW282 KbLUt85MqKq1kdMHk2Gcp9vD/u0/h6A4WQd+EP6nOX9RDDT1HirRLAIyQmZYfpp5G09hdfENCpHl PdVi+J6+mG1QPS3xvtDzkzthbYXa8hJBge2tBrtoWD6q97Sz1ir0PS0A2O7XndIvbSiG4Q7aOB/P dMpk4Vwks2+S2jwSYgpSsNiZ8CcaqtV/YcHkQzbJw01LRhvYX6gPlUg4O+hdQy4G//3GTPw8Zh8A t/Dwun1AfgOyEl3GD+0YBz2uuxpxDLap6A6waqBXwRzOrQuXifvlAWKwlG6Z4H25D9b1C3wjLKAN xvIvB1ssZKjJdLpR2nx+yP/lQpbIjbwD+ay7zuvHejmq7bAd51GGsZNPP6/daUtdrQJx9Lfz5C/m gj6Tn26q4L7YWdmx+Z/ndwc7nBxP80S3T+zCqFhp9Re1cQ0Y4H3U7JApDCiq0tFKt0+uE7+XVF9O kl+gNbzIrlPNfkheLI11GITVSGyfg0C1hFMr12WBcjuQITq+Ya6XH19fQwFkyKUyg0vW/4Cmq4Fu mYsjuMoC50PK/gaFwcTpWWTEjRMvxHymjHb+z014xGe8jqys2NkB+YEB+gMt5C5kNcmh9PVSerLa XoX/M57F23B3DSdHKwGC/FyMxn7bnqimbOyKXXz1EyNauJF3BdzzL4ODoR91lz7JEfvYul+lAORE u1znpSTZxRgqzHQc1RzRjf1c7K/LuAjnK4D2VRo0RbZofmoi+Lelbi78zfdXh2oqXLAx8VXhJpob Ddax8bEGc8xXIgQKnrQYtUA8xn5RgoZGZ0TyCD2ZhRa9Xdwy8hFuapOGXzdrAPwq++FXqVty3X46 VXmxcxD6MPsXTSN41/t4ptFITslKNcLun6av70WkSsVpcbGGu17pciVnW0FZsjA0H9pHUXxqtlaF x713k3iBEVBRbfBKiNqhp24OrB04wHRz2yiSoNMdaOKEv4C1yqPteGuf62OUjAq2q0o8YwHqaAU3 lUxjePjo/+t46Pg4yl+zLUEV+xXFlSGuvoOtWqrku38dpXKAT0425XRv+VP+WM3S9F5aX1Agpp1i 88k3S+9HPG3YhPfgPpQAjPnbby+UEjyge2BVabLo9b6GFI2+RxhdfbvHIWiXZx5LmEil0XENo1lQ PwnslK/xEgJx5iOpcegQG//eBd1ludgR9bViKRaA7aogAqxS76U0B0mqfeAXiZHorWaze+ogpAwp iBFhR+eAzCj05roju2E1h4Ahvh3S4tVaw1iiA9o+aaiNuP2fx0ZBZ/+dH4uUSnnVHI8ifv4esSWk nXyCWF36/v2+RG6VZM+HM3TlWCwDZs0ODUXz3pLO2kTz8vlRnqgcAhDwwMgG9L/VWGOyZs3sXXhd LaqkA7EPHdqMbLtpTZ1wDwoLy6JewbazbMa4pxQusLJlEqLp87sMrlWCvFVjJHo4bcwIJeY6WPjX 5OTgE4s5yZsZuXKnB9JJe8U9bNwcyJ4z4giQC3emNPwismHVO0AkPRSLMlAiS0rU8Z2ENqIKYnT5 4SrNTC5wQ4dyLbLOqF7a+uK4a6tPfL7hOAJKeULQ0WeBBbOZ6gAdV/fX+iO0rBu8XH0A1djW5MOy Q9Llmp+oL1crvIRqHn3CYWotRP56qbUtQfeYpkdfC/Ry14aTwqXeEslMz6iekJPzSH4ns2Y/O3V9 LHjjM1HtCQCE3o9JcKQeCRaqwAFLlKgudm0OXgyg17Lcnpoc/wUMFIBDVlb37R7KPpmkf8aI7Y2G Vp/CfgygHMpBEawPaX1g/gQIFYM48MKd6Ynl0hsQlO2IDluZjJcwCZxyD3evXRObMfkXSGZL5dOS Uh/7GbwHBaG+Iu4qxEPiwdP8nBZ86iLOlktBGmd896BZc0KNDLTpXkbBR/HLwxE6BlWt5JBVLUJa MFjoeH1NV+cNAdBh8QSlaJfdw+aKAAK5QPLuuMhKa6DevpQ2BLr7ufUFW8BfyDjGmiofTabuUZ0D fWe/ygDfHVkha7wkN2TMSkYNAsNUshqcZuVmTmY1pDzq6vX2NQaxxmuYH4v2KugFNCja+Sb6llRD B03RDrSrhINZ/xcrihZkt4NufghL4tA/lkXW5dvUZUgiKg0Mc+O/fYSxfzRaVOYotHmkE/YYelyG RqQRoNciqfdg9j+4QNOSqibOrMMyfYmWvtjXiuLlYupMFqUpRUREcYVmZDMvrSlQS9yxB9kXtBoB 8C411IHO6B11+E0FZXtg6bPtOJdBB/40CavvcejVMUtXtchKALTGI7Z4StNrznh9yXY6fOmg/OoQ jWxYjq/ZfCP41VNgCc+klZkwSQ9xOqpV7YIQeGNrbK8h0Ea3Lo9XsX67NFqx2fjzMnsAoEDN9nPz 4LAq2qd6AK/XhOYCoXIXvvsTYwHHlMcAihlTXfsIqiQk/cQsrFkRs9hR8xBJL7Q3esk0ybfz/vjS nx8+iln/GpohFi8vQ9oOyU55A3tq99eXhFdSBQMiiyLJ98/b373AP/2QyMyLwldKMUkLpZaRenRc 2fYPahd0C4RXDGNKMDE1/WEDHuvQUgWjDj+Ux0VCHI/s7hyryh9zyz7ucN/8/EVIjrMIZ0OC6LxF T9VMx78Z5CJP8mu+od/ojoXDvHgQNf62MhOpWKnN08ExQOS82Rxqd0cLhal54sfyQRdorbKKOo9l ELO/Tz3ECe1dYyck4krQUdDLSohEgE75iLo9mjwcHhcyjGANw/YB0el9I6Lw8sXm0bwVws6rUAI2 hKhhnUOeUiFSmXW7XFheMa3c4Z9cOO8jdJCkQ4mOI8MflsRke0oxUnexj/7QC5nQQJCoKUwRnO4S hPH4pe5lm32fIyJCxsjeNsr1Ry+a5Evrshtm9Hnq06kcdbnU0cT80R5Yc2rvNVZE6/GpgrtKUs9W oLZG/ut4Py7rYD/CrIjyGZNpE9yN0GjOAqdsCLetiI6Uu5IDbKNDfBXkdrnoGE1cAQOWhAOMGPUC peqSZQ+jjm3QSQctl/fGRCb8g6IIDwxL3oXAX9jyK8QPZ0aQ6ok2kWB9vXR8EdFeqPZ1vBIoh8IZ XHOIflZwwO8n/JyxTpIZtPkxAY2vd/rWHFJ92TBAJu546YUwSlFdeoAkc4mcedz54EgH/4SmBc/q jjbT3radEMVlLrNEpn/ocW25V+g/Oz8EZnt20bF1dAbMRpApnKQANuMUZ/dCKLCXUnUND8YtimOX EORdUjrCwDs2wY6Fir5vOgnCGgyMPbBoX8xak3Hu9KZL4/yCG1MlhVyx2rBHxheZh1gxwoTjVroB CjetnqQhZtVbGogmQDmiEB5eYTqKxHHKKQ+s1lApmk0tPPfVEjx93OLlrfT93m2SEiz9zlLkPW4T 1syBKH3qUc6PqWBYOZ4GoHfhvsAmUboifs9I4jcfZai+GNY/Akj4y82jma8L9ZQg6IOdlhRrTLXw lZ1LZ98TYsijM4GukcsxMOtZiuYcLn+rkQz7YyGOOfuOgBSgEq5ZhK/be17+yVvIdBctoI1O1VQw nkkgm4Aa5gAbi30WChfed456BPmdjqqR7TQmEkCmozDbIoy6DO1VbEICt0eE+zDK8uzAJuIakyL1 4SkdpPAZkITt4Vr9oymXtogK3gsCo7XkkocnDzLIBdRNViLIY+US8fE22fV2BdOLLs9+JSKeSD2n hCgmMHiK2JXcmZZdhbEpxC6N0SDwaEPJIQPuwmunM2RAzF8rn6TC29xKbW8WE3r0R6dNDOPa0PLz RvB3SC77hYbNXCs5otn48mcyGkhzdQZiiXj+h1XSMd588REiMqMYQ0p0BsD9IL9anjB5kwNhGSTh MsPSyxNv8vbfBBRZtraiMAZWcyGyLBbEG/iqASGkON3Ug4T9Zgme5knQALXGllDt6yKeZriYlM32 p7pD53DX/TaQvUzxqz14ZRuVTcs/7KIb6PpOxlV8YQx2g90jFqoxSmW11wKGQ90+zQ7vmPfXuuqt MbDwl+jLvHceLdJJ95p4u75bF+oQi+SOXHmkl/vf2cOdCA1IMHBi1RdAXvs5omwdMq8GqKEYouAP RMGMLubi4iw52qcNlDW7ImbNusLnGFQr8JhGC8fbIqYSPxklgg1gedX2GheyXvAQvrrlZrFwuhwD qsOJqwmUYlLXK9Hq5aTquiKkXPNFiJaRcEnWPtDqI23f3UPwgpHEJFMZo6R5rMTDxsLxFk+15Vrp MF2SF4IIbHLEP477rwpDFzzUIYZB/+GnG9HTI0DbhQD19Adz6zYTJinJuoWnDreF4ZaNu1u1qjSp 2U04ZFmWJhnqwCNhZTXre3TSgBjSUTpf8nma8pYP/w0l0FdYXkVwaJUi6JHl53ViPjEkkbtWbZEI uEkQa2oNmI6bszGqiVjFZ8BuQkkHkJGGT/as0RcB1KLcXstZR1AWrIe8yR22pemmnLvySHd6ZbLw TDW+SRVlWg0jiatJuN/AZYvpz/FyE699UiVk46QyX4sHQKtoy0qiXZuRRGMQgv1jPHQoeG9CQttu QxQPKHcIlcoTJy3ADSQqqjaVOu5KaIYfXbSzYNguTcBP84WysCnvU2KfmdJxRC4MQBgJmmSZsvco m20ykk90BTzHB8tGH48lPKZRsO6dZMGcFZTuWxuSm0yBuvlWMUj+xkXFVjRffP0k/9/++0GRVeuD XWhZQ1MABvtVBBPbY+kNFsgHs9dK3WgzBTqUWqMFho6davVhp1a2FvNY5Y16GwOGh0rw/SVCKWpq +qPOoSU2yeN8cSNNboB8rC2lQS1F7jUEYb4tKCPBBlA46mRONI4ZqWtDXOqA2d6V3Sb3wEDnh4gN LvM5mhXPGFj5Hg5jdK3AQe1efo4uJ3dSl5lRnzDy76ukZ7vywbtQFXOu7bVbuzlIDc7liUuT9Tbj pfC5w70GHZqSIb1qvJqeAIMGpIbCPOB3wwqF4wlBdQgB/qcMQaE+zq6FO82VBC4VThnxC+G5Pllw LqoOmH+fFrEIey68tgWE8xsCuCCW5cezYNLFn00gdrFfUCqfjPjTa424eSTw+dUH+7C6c7/VNWum gKK5uuhFntYqkTjZg7IEL1RM7drElf4F7OobO75mh1xf21ByKQxw4cSbqRGL0GsuzTb+GDKhlx4v 5xWwJOnpQ8oPbcW5tU2Mn3a1H+OFzBCoqysvx9jgFaZ1ZLql09KBpj/K8dXfLnsEcScIbP/8vSrr JLANRIDMPZNQudaCUDVm93FUMmzFNX43F2mcKgiNvp0LW95m/rTggab5mdlqjzoKYX/BegprHQk5 zpfeqOFRR56ho6apJCqtNZDqa6a1yZ3zD23ljoNurNgj0OSgyH11XtJuVBQmGk/fJqnILE2lFI6I 9xObzcI9KN/wB/7wiYntyXx+QPP7FS1GBO6xeXq5tNk4QGVRHklmEzYj/UvgXQFhTWxrl7LgxYSr hLG+1Wyd1/VMZ5o/ANUbCE5Z4cN577mS5U9Il65kmTwVxxx9S4YKzR0QtJO1BH6A/SatSlsDHLrA h/4bdblmlCVkxsdATROTQdXpTI3VowAdHjL04vCabe4UkD/ku7oAf7xVM+YBngxCgH1fPZpk3xcm l2CzPZ+tPArfmWQCeBS/oIX2K67IEkkXF9SRooBe7aNqjOSqUk5TYFvMm1TgsF58XQ6Psf5g7nme 7ZjZEVhwI5D0qHVERroiX17kIUKm7kqEJ/MwP6Kb2v0+R3Q0rQa360pa5FIFCpe077rn9nj2kCVj QH1KPE8FSn0PuDVfsJsHrZvy8+UfasDstXJoQi5orcvFn6DZK9rsRxrROiRFRaG6FydQOq+IgpA2 ACQKm6TPeFsH6zRCu5tYwu4Yp/a6vi97aIOSp9O0oqR3vb3UlKE2DY2k0tGonY0g2cNBOCRPpL4p DIVGKBNxaxmN3gWXiiI1apHapdGDc9Oe56bEmLqYEG0Wb2jER/cNCHAULBUg6InXPNTlZduAuUFp ke612anhCn9E9xneIYYXWs5rWhX5zu0S+AaOikvQLidVctGqK4i/Dh5xRiFXgTkg3fVy5Hz55dGO IK6purSFJ7GFqfch3JW29UTlpxRpcNAuX2oDdDNOjJUP7iq6blaqM9NrMDdyv3NKTIH8hJDRMTI3 v5t4EOxBQSKld7oV9kt68LaIziKQR7+G8fpVsG0YXHwsaoUlD6UXuKATNfFbF1SRaA80Z6TOqwD7 Um6AIVRnqhIwSQPu1cw6seUyqxnFS8rNA9DoKPLxm4yOj6KvfLKOxhUQZAOPwTP7dW44N9M2JJJ/ iqNF52buQ6tAQdDJw37HJfXJqyXB99I5ly8fXawvBbEESlv6twF35pHOPhSG1SxFSMSd9ZePJ8UX Fe7WRfBFwjzwdSIJaGDBHd7xJNAEtCT+gwplgjxOeMOcz9I8Ji8aRs+l04BZO2rk8Nr195Mzouv1 FbtWQBWW51tyPG5UMwM4tjoKf2HZCuUOyEJCWTNgqXpHHihaAAfoOsHE7BiR0mQkIpPetC57aFz3 lbGSS/0yMwhb4k8FQUSwBglIhM4j7yQeXDuQQiLuIrIw80lxoZ82iz1GutgzO1rofGXHStYCgjkV gJOzx67iyw9J/e85BibavG2VeZzpWrKxrylwIJyRF2MZ81Uqt0tRIhHJVLJZWkJ2QOFhaFhP8rbq IIFp+N1LFw9yOnxMrigwuPiZn9eAT/pU4yOlAirT+oYMuVQughCYyJEpMVAdex/uMhC/Dpov592a va3udrTNMo8tg/G4xxxYnKivrytnH5dmfcW5v4f5ewR/6y5r1T/sO8lluQRw0VBj92FoB70neubP f9a03WthMKKcZ1cvaitiJnTVbY3trClkdtueAZP002P9AS68Q29VvF2kCVPNPnCyr4+r1sS9fGVt +Po/60C30T4p67u7AhG/GvQYGTXY8mJ8geoFX1PTpMULmLCIK/erVegpYHCfHxAMDr6C2/uLuyov uA56e3YWLrYB7QC1L3E/zL5/oldU1kufj603zRJ0HrwB3C4ZqlV/StEr0anS0xFNANUy27DlD1S+ buUW+IAtxb+f4Uvsc5p50kF8h6EbnCEYb+bETNnJJj7aWZdW0G8Cp2hm8Y5ma8umvlJcWTT9haOA owKMVnJQ4lfAZ7syL0sBSd8jicUDURrZmjZoctluLnAhdVG8TJsaEHpS25agXvrI6UdMY1XEW2z1 niLozebiP2k2LmU8nMh94n+PtHsw/dGflfpx+Jz1iDySRmWl+px0hmp4VPumbRKn0I6TTxqdK06J JRoHep1OtRyr+UxVk/TBwQibwwZdlpPTvBbyCN9aUlOceLNSHO7vvEmOKhhwbTatzQ6NENbhDgrV 51Ge7xL8sX7MddRrd7uGGI46vAGKwxrKp8F5S49J8CRErrAJR1PiWYtzF4WZabJicWNo2LcAgL2u ibsrILI0MbA7uwG3KOKgVMXPzwNfXxiu/6cu5w531hxG9fMiGjW5X8mFd/7Phr1tFCoH1OJ0+GFQ LSQoqpaqZs800JCzksX7G8H5JOOQHFxswBGMh9cKaCTE5yx+Pp8anWxnVKycSPbvJ76F4xU7D3pF 8C7B3gzWRgrvfJaqqPYNMgbAKs2YK137kT2xTukStHm4VJ//aK2iRlYSKfqANiJiUHRrAFd/W/s1 NyKIFVMb3cqkkhsTKxkWVU82WVa129izplRqBmFYsKZ8yuG3wcOG0vK6iW8s+5IIAHbSCxFoyLSj KX2S9pmEtPIvsyhigKWnC2aTG3BSVggo `protect end_protected
mit
HighlandersFRC/fpga
lights_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_proc_sys_reset_1_0/fifo_generator_v11_0/builtin/builtin_extdepth.vhd
19
80613
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block Jjl8vAn2UJruW+pwbvMAIo6yT6bQgTl9+ZqbT+VaAP/dcMa9HxI5w52bG1uOMJkKjbI3shaTb5QH +WA4TEmwBA== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block jY7USlQiP9PR+LALAEYZsrKak9VnF4tfhT9SQb5jLUPXs+eC5ZbIVQkPjdV+4wzhB7b7ai6shnHa gEu6kUZZsMTRIotEQn7SVZESTAIMCGAU4lDLU7RT30ySc+gN3y2heOoScYVxVF3kYNcbErB9g4iU iZLVkq3ZU0fP1VLA30w= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block W97r968B0QPwlTs1emSg8mtee0qHNpQ+/n5wfXS0R66Akqy90VsNXhnqLJjbnGJNqaGSMTKCRNVS ox1Z0rkuemlJn0dMgZtmRgHM/NeyMTSbsBwVvTSeFdA56k6PzciIIQ1S8150Bxbexnd+b7l/UMK+ JO8+KzzHPEIPqou3srZGn9dog9HSSfTUIqvBgloCeGmDxxwlsFwQ2VsrffuE8mB5Kk9lHG/A3rMw tbJURgYaS/b69KLL9Kc/urEgbRWHU1HQCQDL4hSKE79WXE68MZJ00kcWMfNfAOR1zytQecSerjXJ iVVvnEzEtzUejpnuhHCRhS+b62dMTzf5a1Q4Dw== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block l6IXa1kcvqxcIuqXI9bELoLDvGs5XxFfhbXxOKBitloxuDBS5IYgW7AXksTedGB5rM+6jbAr+PVa 4ykVDtx+9n1RZQ3HKQZNsRywuW0+Fcm/MhmC5isxnEClP56JmzAEyD9l7nmy9JJJI11qQTy86iSs hkUJMmO3Ph4Kz8ptLn0= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block gEbAM0PoYz0kTXyuDtZRhRtQJeO0ezbVNuHzWd2Q6Djxe3WZnx453sNsfBBqykQPTu/zHrWi/wfe VIPTt4c20XjDHHTidMXhf5YGMYpytIjNmzV4g6PhJehJgJTQj+T/bAmaDaXLcqMDTjUNont0w58X XTjVYtxQgjqcVftNf5PS5GCVpRxSTsKbT4CfmHhBwwsNC5rLtE2tRCpmB6tKw/7xf8VLLD8a23zt cVvVNX0bw3bWCGFmWZjC/1fhYI19WFrjQO9Y/0zq8T/b6JCoxXV2HE4Z2dJ8uXvV5GV8EStC7VCB DhBS/R4IfNLPojIIJPxvrbzkKlmuEkhgwflRRQ== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 57936) `protect data_block WFEAIJQPdBjKDRJG18vAcLFd/8GY41Ej3Xjgf2FPbB74LGoSUViiPyCMiUX3CA/V0u1ze5GFPioF CtRZc9HYAdUdgNz7rGArReH1aT02mTSkW9ZmCxpKH+ADhUm4Yln0wrNt2O4urS0mH9hw7HS/3OXs rL1Ty9WlE32i6iaJu3tTCzIuxYf9ZnuM5WLniUuxtlKb4hEtlCnGbky+uhNaa7Gb8iIHb81zFhW2 5nQNKSN6On4CWpq/kPYk3odWsOszozdnFkDSKefYc6SyamZdidMbdrsHS4IsQ7Zdyo3H2pLjh6d3 Ku2UeOLg5YrQY+T0fFusFz5BmctTziKtbrM/fSTRTfdTCTPqioED1eJ7uF2J1gfU8faOLy76Uov1 2erJ/pb//9ypMrM2w1VLiDJiGOJHLO6GSuAST86c8f+K1o3EGTk4ZMqXSsMMBFnxVUZFdSjhZvks yIAnFFIjZrWfRYqpdmK2257kZ+uYuBmopLrFlFG0/QB9z97O1bcken85MZJEftyaejLu5olek47e U4XnF2+YHVpoaTJxQR7+tVM63smG36t0xj2mzP63KWLBHOrAZzL6ZAMFBfbGJ2PQiVdsqgogLqrm EdGf3ugVUW6wk8bi4vyx03XE0M0v941LgpyJiyxEb8VgUWG+KNvpkHP6FpAa7fSx9gAASVKIOiEk kmRG1+zYDL0hS4xqKAeJYWDpzoeCd+uXiEV+d5nekcX28XkJpDqU6LEPPkqny1Dc0OK1VJlakcFl kf6nCHzhe05C98qX1KBKgdDZkWWUF+ZamkqEaEvjtlFVHfgf/vA3d+k/d7AnLkus6ztwsx5i8Umq WkrhnL0hz+gyi6ldo9xxKUBV2XJEwSXDtvrUMOnxA0l593Dj7J9Gm4ejyp+tZ6E5kZONjjH0VXtS GpO2Ejertw0E/OPZWcH7suMWqyZBLAlTZqD5F9GF4UqSH1+94f5e+m60p4v42pbCJ+1NwbJdUQXx n5eQ6FkLR9PhDloieQgFHfTQMCLYrHAPbGs1maoUXWZjtU5sfQjA1wNIFpblFMGkSBk0K4fkMc7J bk53wJWJ9C5K2s+cJLiG8AAVIyax64Ijw9cv8S7pymEWScIoVxeu26ol5EgvilCmCZkYGh6lQPMP NpiRFObd0S5yiX6F8sLxSlaC7dx1HITtR4w0RMt+f7yyCNInnuAf4UenlHOZ3rTDcJg42dOqqDXH 1KsvLBCKKrNWTr/pDwJrBxzYLiM8OyhTVNxb+XdLNpzr8JNLvWw6tCG/dt6fPutsJl1kLYbDnBXK FpRrDz4861lHqS1fNdiRLuIEAgA1QbCJyeIuBt3wq7D7BdYhfrdYXVIoXL7MQJW7ZYKjnJxVhlmJ 8czqJvCuEvvtfsaSnfeZBeoU2ESAb0zPn6EvNGlqETBEYhtEzRTBEgL05BlbY+8Kxpc/8twP2Js7 0flgJyBi5WTvbo984uW2a3oB8pUBgJPyHayT1ch+A7AylI4AtpHpcbb8mXRE3rWpvqE+zClry6f/ X4qMh3zSTU2fruuYu221H9uTLc/dlefdknHDgMRFw2gu+gl9sKSf9E/Ql1Pt8nxA7U3Z556SxphE KeyZxhmohaIH/sN0oQfpUKW0ltOFSmJWvva7xkTOJxgTEZqkWbjf1pK1CCoav8XUCavIKaoci1WA hUlSUR3JC9pQ24fW4w1aDCEIvlo+Ve1TWNL/4hRuyXs8v5DrE/LA+jLIp0vrjU+VwV4qgOgz15FX 5i7vi60Jqid5+AvXVYUNjaI6x67ZP9xK2wvKY0sefU6zrkWM/Qz+PGxGyXIXylK1u/Q7d1Mbt40s QGrjr13eC1fHpXUpTMYWTTH0SS6qbVqqXeqtP+aZOXT2Rp0UlzVjdb6pxYBr3VcZVI48y4+rsfV1 d3/WvwSZPLqjMowf68e1BMOb++UpAOTertAyM6YBHurjOmHMsVPlcQMCjkY7/A+AIqEDc2ZvXG5A o4a/AknPswVrHGdTrH6tbRkHBfNz0Xlfw4MW2n4Vk14eapqybnXFR2HOO6gCG3PP6nyoh4yVJyGC zIFMCoOWxOixGhoZhjsXyXK9THM93Et1tl8LprYZDgSwYT8Xf6Hm7vHUtgT+HnuvXTPWTnQJGctH Xu6cz9Scjesikgk/JhkTFrutZaWrTsXn/VwGlJGEs0zWnSadQDH8nVY6EaJ3nq0/dGxXNtTexY+J mAm2awwxcoOkBo8AWNPSLOoiIJnyfCbAf8gQEDe4A7b6aTgC2BNkSEZqBVhBbxqzx2Q2iCSizQXA 2YxLHVw/LLy2y3tEO99VGQb98B7d/uOme2xEY9JxM2qT3M7WW2jMD1V1jgu1QLaajURzjytRARft jpCa95TsIWpWDt4IF3je/WllyorQ5FoK68L3mbFys/Fb1x/8apxIVjoHBzcKTi2eYFkJoVxFnqDB X4PhpGxhDRe2VT8yxJ9ewCwyVDAhQKa2pAFC49G5sCYpGLdNPzEhC3XcWAu8ApHByeP4kbHILt0h T9/WjguaZ4NRA/fAO21ZcStfePaVIrP/Ca2iPKfA7M8IAt9zNYJZPiFhoIxddkoylojb/yyyeXcM dOJ9bE2jiP+GCtuQyT5dYgyThNChaebevXcWGZe5IYYiIoPuJhkMEw9LT8NsZtuhy1KZzfO/ykry RpMl0qr/pHVKzS6TyfRve5d4sHLhuMDvt5P9QfHBfFn61wQOglnEPMIMiK5+7wRNFRPyw3J2CCaX jwFROSZr959euTOltz6jKslhriocEYAlNqRZ4fKZ+btsEDJ+YpGydI2//XQZFz+x+oK3w4NkWrhK 0FtkadL5zHWSMnm9fxFGGxxQyKu9qwEh2xrLA06kVLvIOA04UIoYSjx5a0ykL7gn46WMCGwA9NGy HOOcZqluInTkhqoonnZBXHcZirg2JP5i2Hjojk4FHQq566uGHjfSKVVz1+89jlrER4YV2W8T9uI/ X0OX+xxwV+eWUkjWUjGFrF4i6Xmc01Ic+gS2Ek7DUIZa8bd+WejQFPKf6Rprjc++rfuLLfjShPFB 9wKxYTiRcmfhGlkBMHyKnPrPBoA7Ney9J88ToOh6GRtbWh3XPaV4a/zeOTxj3Cw+AgdoWUtbBGh9 fF6sCFQD6DaiSK4ofPzdgQtdWx58RsRX1DKCzFxXZmUcQjAYTd0Z5XIq/XuzHAuhjNOpO++Ih0rZ 6yB/5qe74aFVBj9w2N0XtboA9Nl40s7VbKjz0CTmAP4bCoA3nOPYAxt6leA3FnBFoXfpoeZlq6pQ ctqD/fJ1I1hb2vGUTWH+dbmm+iGYCQtmDk+bazpxqoOkiZ1wTwoXyoHjz83fKqKHHsCSptVfTYtY D9V9WnSJ8ZrJfU02k8BelM/Dr8TAGx3PKYcrBKwhE3Wq8h2oWFqtLfac8irxbx+Tc3PRz2Jt29hD f2XP1zKs4jIxAej9+KRrKfwHfq8exN8HmZV32Q6083fK0NaoXpTZiICxicFqezrFTEwTNI2XkvtR au4pQ4JbqcHes2Pln/JJPgXBSMnrUZBLWEUGvF3fqFM682uO5CAl1MEsyK/gARuZopfuJ6oWpuXs /BhLzmSQxbUJS6u4+dTirmv9TXcW3p2Ww6LmSP/GkfKQWO/Fm/Aak5edN9hqN7Pdy7ip6vpJ8S3K upttJtDv41d6wjWj1KTDASHXQo7KtL7inVLUChExv0Z7IbwktJ/+Q/+mIzyZNCXUiM8TROw7BSzY l2JCMOCnSFeMkFuT0wLusTxdwwjcguQFE+Z2FNgNzjRxiVZtMZfyNY9xnwysJzQizQkL4sGRGFpa MUYU2ATzpfkuealpLKZfjeVBOMGwx9WS/OC2W/Rp0JI8fA+UD0A12G4zWIrFBs1RvmRQ5rZYPb1W mOi1usfH+lW3Y++msZxRVGqs10zqXJ89w8euHXjTh5HVEJcsUHkqbwvtgsDJU+WLKT1e3T+IV4Uh KGcTk+KOKDvb7S2g3pTYIde1LgVPWO5dBw0LOyA5DCTIj6qeCmHNhqKOQmdvOwkYte90VQ61Q2j+ yxiLJpoadgGK8puwXBTH1y4QweduHDYtpW+b7DtREuwVJJbMIwnHgr+5QO5qB+C2B1/vtot/T3cL +EAG7sEMHGUAschA89EwOKpLByH7gJ/WB5wlwem/V+/WkRTTIcPrGYxqa7KFidU65qoWnpiFz9Y1 z0bnIG4VSGn6ID46ompJGMecvk2MI4cfFfjpZTJ8jVw2PLrodPB8o7aCwI2DH5EH23fH/DAKK7vE 3GRj3w2zHjivbN50HeCn91iKHK6TBLC+SGr/cqoteePivhwu8PQLkzi+APv/uIUBlayGcF2oHYHK tNu5Zt8miedndemeCd8x2pzuAAf/CmxhFRJJQqYtu4LkPKXoMqPeBFVGptsay4b3PkrCpsjiwuow SWMSEa7izGDAoUFyhG4x7tQ2qR7yyJQx2m8dySaewMQju5DROmwFkgDKUoFzxR11QejjeEUuNSlf nHZuP8FxVfxAg5dZegjKvIu753Qgo+12d8Hx5Gq6HE8L0T+AvkH6VjPmOj4TysT3xGPlcVGESUuL 0ex3f89onOgYK8Cg0A6K2KNRkoqktQesgj72FHXWJkdd1c3jZUuz118aSXimVlT4cGBToBmuoBBk Kb/dlbY4W+Jh3x1koZhjo6PyHcW5JAKeUk1IpEoJMqX13pGy40prolqmTtvuMST+/sNcrjMXBAUj WKCQltOvCGOSBqIuXdoDR+mNkMSOb1KGFYVF6Nl5LqoShOcZbInxyt3Lvfc98WqfHJtmfwFBFl4P wtFUaf0zWxtlxbH5FIunWGweY4ur1OlbTDdKvjkYagcHTO5MJsILVgVtYyykJjZPva6qNYwqVTLf qXBRm+QHKmCXiFJH7tMFF8eHe2cBRP1rXPH1O9EFjULoPKQiQiI/iOLQ+XTrgsKj9migEqj2Po+S pYyueg2vlO9uS+njN0LGThkWMyDdJjXY9neJcMxhxstqh8VxfEG7Tg5HnPFETf3touMW41dSYfbU NtJY97cEa15dKaWOSxts2wNArd4Q6PhBPcdbzoFOFRA21kO/meO3mC0S1zLYzr3uA0crjYYfjEyr UMWPAq0PkaXcuFyj7TRBjk767SpsvZ5g/1nIOKxUOkgEyzhEayfg85Kykkv20bPJhwbMpW6Ne0s8 eQVfkFHfARJ1l4VBSyoDzHM+4oOPdCKjl/C/5T4eYSI4Zvhp4x+E2In5/pm77mZEjUaTCAgcH5p9 72vr5moP8rRdjMXTLt7MV6/los8anTdsKYcpZ2PenyvUnuaur4oykXKtjusRw2csvx4sEyjkB21G DsWePxn5Bpp52xdKatwD7WUP628hx9B4XXMYnNBS2AI0jBwZTD2XBptKO2QKrB55vGVvy3jACoIV eLxVeyYkZUifvaAiOMUCHddMhBuRJXvv9eG1ysaKBLaDdOoQ+1xJbK8RG2ePtSd6en+EkDVsHCwJ xeRmmc+PLi0i0cdcmPuWT+jrf6Y7Z3+imc1ibazx7ZDx3mgO6KTiAlR7X5Nyandg+EhxG2XLhUvp ZFgi7MZy6/DzMycZkAIz3qG/PC/20A1VSV9RClI2whwA1j3P50MP3HJ1jPCSbTX3qy5HgQwpznCj KuehSe6GlGI05M0m7hYJEKlhlEG8vdKRBon8aSkELLihBwPCbFHcqqjf62gJMFOaB3Hjr0qYbaoT b2mPVqSHb7QHNA9RC5EizkayW0nDXolbJ0HhAY3eBwZJrCCRqyjntljhxjQwWWQn2CEbB+pzvxTS GrYJMnHvL48iamxi4koUxbTE8qXg/V4ZKvmSfNYtkoTkjKfzuIplAb4hTNgOMRfUb2HLQfJ5l+9e gs2jQ+XG5qOMWTBc36Q7wL1fL0L/JxW17ddwM+cbAwo1y5IrcLaYrXKnO/gtAWl1KpSPPMXQtu/A LPdkqfFwiQr1vAM7KNRWGVSlaaXoNFojelPhPu1IuX2B2JeHRXC4rbZNxN0GkaWf0wLKfMZTW4ii c4Y5uCn+svJsewef/a7ckSo6FDTUDxYCY7Xf0hzgq+MHZTzdo29BaqJDdVVH9l37+bwx/6FzaYG4 AUQe18nd54a7/svkc5avS07rd5VTv52V5UtrZx4pxGyPtbRMDKS0WmKXCBdeqCtXyddvFmyVc9M/ cj9QWC5kOvaDlzxwLkJJ5xTmHFds4WVT0QrPQSvHjWjBTSEaSbqKds8LO5/XuMrswBm4fBigw5Xm pze453uNc6TzVsO8bUqW8qgho+4YC9LumFit/WjeklYTAu14jqR39QxMOJBkZVKou2Nk12nFxwCq b3OqJoXxsm5kJI2jjRvEvGEISL1ASmNzWV+gS2mLtR/X7LYT0DZyjWGTeDJJFECeeOaRrOajjbKA WXvTgWc/TKLf3J8p0muynG1nldFBuGtsMJwiQ+6A+gkM6oo+hHG1xIdaLH7LzCbvUBSgnJdEAflP P6J6kJk+9HRB+KSNszQd37MKbtfJKqI357RfXsFoo8tzUlF/UGkdMoIxoLPfZtoQTukOLKE0XjHR QdLz/iNBFtXHy4N34GDvSLoDqENFwuzYPeKZcwWdt6tVq+snBydjEAMAl5+zaPCbaSucqHhnYkw2 aanXl9JDxkiUxNOzryNAHS6FOFc+2QYgSL+jlgCDXoGMHsVZJrYDF0hHeknmgb/k7XCnDRtXX75T Z95ujU3EWlE1bcgNIBOunHP4CSezO4zfN8qOGBJingkbFZNP1BluiS1Pw0PhfqoXzmXrEHcQ3BF8 6xhWCh53ktEUfc+oQTJbMH/P6of2ng4RlDFI64fxHYP60AhNj/56cGqaKiVjk1r2V95uB/m/5Xea gRPNSkosrECs2Yuxvmj9xUj7l7N8vGtwUUE53Vnmd2lug95jKfi3EgnVCOsyInDFY3pBLhsB+7Vg glCi9KV5H/DrDbkxZYQfbHRBFudPbCIOKhaIuskqPZrdFMRkdXXcIuDPf6hPzIu0QgcQwEd0ErQl fqXv8GUIEvf6Zl+sHFEt0uTsIB0I5ARzWfT4NZr28gEMrk9J9jomH1BAC2VjtTH1m1yhM0iNKwKC y+dA3qGtDd1eVlmKfzoTCun7jHH0OUbhbNSqyBQWRhh+Rj5Anh4/PonC5ZiWwcRWdY9L2z9r/w96 FqaKa4zTUDuLobYAxRCAFCLMVRFaG76nCju2ATUcw17u8jKEOYyn3NsNWULrr37agSoLiS/BF0DR fN2wPWO2rr+DrUmii7xyCCgNwVKinDwaoOoyLbhN3vp2pxs5dGIoRZbVc3YDyaI4VFHmoe2APGgd Aam6e1PII0qvxLArekD5d4v2KFIh3fqoJesLzTqtwP1Z6bh4wHzE/kSaPh7iT+Fyzm1sNIeMQpMn aa6kv/QN+xefta+zyt3aT0OdxZTNqFa/+LgP7oB6YehPlb9mPpwKJYGh9Qct1s7TTYluEMBBlfap lf6/daObYj2pIzPeM1PaHrV2nAgafxzm/f+PLE1Q2kMRPSMV7NWTgQhVAhmmYOFprtO0YsJQ9GBT vgzUQQF2CrEBGZidF6C+BMl3VsWfk+t4apjZtiMhUe/lH/ziq+Q1CGm5xvlixI+q7ZWHhmsAMStd VppUv5mRAlpW/gGl+1DDmLKwbq6IymlGYb6Uw+eXkrDLLPrVeVlIdqkbAr3GV5xzxBhOIDjANDIo 4hHEGg86QQw5iVBN/6/YMs0l28lva+9LtbPTyHKGskJK4620ebG/bZ8XvW2PKW+AvPE6eXNHy1Mq JbFBPrbdqLdXvPspRZFU2DWxbmz7/XK1XVD7mbCzr6qtYSbilPq7daL1Z0/UuqHI38tm1WDDjrIQ 8LeQi4oPWLfxPnG9anXAyQRUx24iwdTyt5xkm7glEgiEbq08lY4yU9OI3baHyIGxQyjtydvg9EWu GS3qKk85bvs7mjs7f4NojmiLmtkkKDJFwIj4dLl9sFUzgV15C7M9ZJ1Z+b315mslkIiVIIVNeMej Cv+UkH43qzBNBDgfFI7Fe7MwYm2JdCEWrzcTiiAjWat4Z5+5z7JCCUWi3aoNDQ+xSRpV3j6eBUeO CyLl4xhjf3HfePXdGLJC4AcEiWr9LoRrI2lPQ5M8AycrcczbmqJInl9BRWZQgcyheOWKWduRq54i /tFy6Vu5uY0WVgKNW6Ut68pbX/CjiPQTFf+XdOfwoiH30y2/OBmld5XKV7S/ofOm36ybUbwhEd35 KyB4F9jkN1wKGCRr6TB7B3I/szNR99q5WSxHWcfq76PGaNRzPaSYLrU6qkQ70lKQ/j3VoHeTNpRH 5mCDMHj6OEqivMooj0JqYbMnIKNhT+Ewt3zMUDijBmffbSmE7GdXBpIizgaYWT6s1lbnyudAmFTj mjZBGPSRnJKhZyc0kNGiH9CEJ2GSbtzQV/RzTMmxx/WbN217Fx6Oll2wJ58ho7NDc7PpPjSkUybQ 9vmWWfQHqhH5bGyTz+5ZY7kavWpQWZfFnSb+17xDnjuT/bYyapOfxi5kOQrGD4JhSV5/mkFOmjiK LHj8fyHT2lZkIB7w/oK0nL0O/3cObRD6YavFcygq6kCnWPDMBM8fCQwMQc3mjwoUlq8qk13K+qOz D2Tax1bQV+vkYDO8tlEtR7+Es5KtU4DkRFeEMfJxgIFDvvjT+nc+fQFYVzp1JXnUKqNy61PpPYAH kQA6o4Ji2w8es3nNd7CWZhjT5ZhGfxFRWpActLapZrMzcK2VhqH2ZCEaLnSKNKIYriI9wnFEhYV9 W56mxOVGa4EC9riLn+ZUZNLLf1YMMeqYXCtZtsINos9t9/Q4heD0g8og/tnAFpuacON2/9Xnjehe fCX70l5A+H7DI/Z5cw03E2PuUugR1B/pqpIgbFz5ZH2WA+jDWeS4SDu33NEqbZJEJo1/XPuIjKVQ McDywhUubv70OQ2WQjGS0vUyPHvW7T9bPntwfdiHi5bEBeDNFAUFPm9U6Pp/nPIW+0Dz8H1+xmCA M5gq4vMBxzbEeWi8jhSWVOJ5SuUOYN/nbzuO3DjoyyAGjQxslzwCDgFQVg1gr3xpfdbvBzgfJJK+ BdvUqMa4HFVNbTltOE9yF0uT/93T4jfg6+T6EByUZe3E27DTKyWe/eSSVANIQ7JYCzCtqAp8Uc6j Q8DZVbGGEL9b03h1KjBFcAjykoRnnIupnn46QWz3GZqnP91s3qj/zex1QcEx2CwIEivm+iYth8Xf LQagM+pD9UkavMbKN/aD6qu1EB3d4tAJy3XrT76WfaSjGiafdprVzanbKGRL/sLvODgThfZN019m bAtfRS45HSEigjYenhltYFLRKxTqxr+G1C3rN5gp+IuSXyjaSWVBh7HxO8MDI6GR7XwvJX5FyXbb kwB3g7ztflXYqs00fLKwcjBPpOwHIH8abdrNWPnzXbOeCc+CNVr8DtUUrLgNBIM2kFP7z8Vpx8e/ uZZwbDy1vjP4bCWUEy+1GHz1+ALolE/bA7U+gE6XgB72hnCitw0EerU8SCpewpZ+PdLY4YUxQuQd nsWqbe0uK+/EyiTT21YUJV3Xvlz6KH2EPBytFRyFffJ9ZygUsBjZbWDD9xrWtpu9V+WEckPvdZQm lVfWmzlMEs9S1EDdnEo/anKzD9/rwWN2AEpe5lRVfUV/i6k4OfiCGKbSNewCbbkmJGHhYmuZE6Wn TG6mvw8BYaQVppPtgpPwQv80tclHH7YrWIREtPYsoHNO2IbpS705Xto/ClPbPP7drVKnC5itWnFG yvgus3Q60KA6X+FbtgBMJ4PE+11hbTNySTZVgZbB42cQSQCvzw2ciGGM/RS+3wE3Vfrn/LoJpB6F qhGrXjRrtbqz58vg2gSgH9T93J7poPhgY/3WYysUH8fRLqb4wFSjBK8ujMUxDxn12CoOtOxtP4ke /Dl2NGmhd6z/8o004qdVj/UfCUm/ie9++Vzv9WQW3oPjhgyxQR2YZzJPD18+mqe7m80zeYni+PZj zvW3DqvJBxCw0nY4FhaqGg0s16C+kYToI2x8odUpRGAM7vkOLyOKhqoPPfmbgcgTjibM4HQo3Ek9 xmpCR9Uo0Xv/47L0mOSfBj6RRpnx/S3/Lt/6XYZm3gSGi4wwwlzjvUs3u4GIZnpVWHASGdXIIKlX dYUnxp61mjaHCy/DV/7tkKZd9uP5GXKzJMDCLunt53mwm6fbNKBNwDcWvyOtHZcdNt2r8xo/BHZq LPgL3JLsuYLQAmFOSBIj4NdGYQ8Mw4vRWS2+g5gNkIc/cfByavwKWMawwxpSywWWYGTYfhT/5A8t Bhf0EYS5NOg8GnSHsGfoTbRVERCD/o90YstA3TQ0qXhd7VzuUN5cLPNNbH8fHp7D/HVUROGdBq1h Kqe2yDJmGyn+Y5AhMY8tASZ7YwNz5XDXijkswFsUwms2UDfJM8U+s79RkrhYxeDywnEvDSjllQDv pgzd2CMMVHWNEO67U+VCeODiOfz0EgQ6CDTeCn2K1CGMDg8OxWkKwru82yAynql/WHFwCXmtSvWN +1Fjz+G7dfSFif3qsBfHR5rspbHYdbLilfiGHX4QiaR+Bt8D5XZrnk7leqLdYv0IclORodvw6pXD RgvPu3VvmLWBayQd7KQiT+dV+Wovj6kHJaI/YezbYAi5ydhkrcJLgeMpntrUE+Jed0itefxoNlDG mNUeYg5f+xK8QFnoTmuYGtW3rh7TI+DNQzGo6Epp8AwgShNqmKf0QXWCvEIN50GkHlw7mK1bObAf aT3UN6EgVJ7qAB/8z2ym8JYr6nvBKKQ1hoMYxQiAAzksbTtZ19F+aenDT1DxMyPG9n1NMFaqTFmw rtH62IDlANEoas8K7KO29YFp8c2fUc2+tJe8xtOKT2hF3zHw4ReXw8htzCYK/8KQuF4Ve3KwuItT TjxUUwQSiCqFp+ANTXySXjeFVW8WaeIlWO/c6M6c/uw3ECxs9RNlmAuEBhzgw6LZVAX++mOz7BLr K81hSeFqWo/jDapCJXBHT3O4wjjP29NdOvT30tGBGqjB0LJ2nPlPMMCRzoJw7fUn23GRHyf23nnl zoeq11QFwa/IruMJwxE+gXfE33Qu8FMM4NnCy67PWUgXfiXoIgYrUUXP5uNI6aSe/YFlxRcRRBJV 39q8Tn28/8HefEPjRsqzoP4vZZ0wrjq9btL/jCtXRhqpbVaXlR2V3sr9FtNUvCv5l8XqcrY2ju/Z f8c3puwDhFojti8gUWU0fSILbF+IF0i1304XhTBYO58GyiDmEUhn08uhd0UG57MUgRsUy1VubU9K YZoyNIss/1WbiFC6qBq/iscpgVbwsHJkAOjsU9y65L/uVxyCpDIPza1jb//1rzJbeCP45F6LQwQs CpCVZnradz4Vvb9Ja/ej33gn8SjmwdnHodK2Yqc5b9q9bfPlOIesEkp4OAUX6MAWghVyR/6Ovrpd lFl7j26ye4CeIRzDIO2DY9uwK+78kUR1cMKWmEE0wNyLCd97X3mu9BlkMIEWg5tx+YdSxDxLbJAz vaitqpjMhxIopWfC/FGoqgr0Li0x3ylw71in+3pmO4NIrX+R2SBfaydCv6PKdF14tXqXwU8tud9x LsP2vZ+SUIMby3YBEO7j7jMcozcYmZKgX406tlkBzDQlH9Ui+iSa/eLiZ1pDfn2vJnXWYDq8INCK 0QMsfzuqdnohorbtWMVrO5rav8+8Dj4Oc/Gsw2UiqBX6groGA8HbKBQVpfRtc51CDi/VdDL9Bmh8 +2SE1/DXJ3ZfFpOLbd1TePKfmTWiNotguWolBdSERVDBJWTptLL3ZEzy8E3P4BW6tWHrCFq6R88H ob0NrTbTn2W9ft2+MvTh8czXY7Lzz5kNB9Wo5SeGs3uEA+fr3CKJOtSKQ1eACQvM0IPCqYKfWFEB vu8IzecoUhvo025LFj9OEixUZsZhde8OR3RRd/9QhhgKHbarCw0oEFAtRwcGqHz5h3mICGYkmfNM HDCqI/ZWSCvD4wTKNvnpGuglqLubDApdO6otxj8o+JhJikvl/IFxh4vfgaXTiRoLM4myMiZ1R+FG yOljO9vNSCY5XpkT7D/jm7tsvEqsX/s5AoVP4WzzwIm9vZBPUYCsxMjhrXEs3nRJPiw8XNcSnG4i y1CP7e9ZL5HeVbchBn2H5NnshOiqQU64U+EJmK5Bz9OnIffzXl8xICglVlU7F1ws/n4H0SXDd4hK Ut1eATRnvCgKSkthQgylcXXfcXJA0VcLALsGTDGu/i3ENSYDAOAugiDtM4gC7lh+8326rUxZHELq mJtBwcGsXXU4IaChH1cQjE97W/aHNwuIDImbO2N4Fqb1R3vQhyaR0lBP9jaM5UzRSun2RmzPhOpr h0wdC8oxIVLtOOqh5vdnil1+fG1+8SSoqA7MiFIJvYp7s0fEf8mNGhwWl6bW8tOEQXOHlSIrzqvi JXIoFZmcOy6VWRpASSsY6608vDguI30L5KfJusSRQ871R5xqYUnHMrCfPHIheOxVmc6n/9HiaA5T MaHXPxeLDd5GnuHgCDEd99KIOFblD+T9N2yMbhHeMVlMw29pXR2YSppt/6REsYMKv7qkv0iN/s2m y2/P1Lg0QCdReMY/+/4Y1sgbT/w1hg3ZPRuo/BlQbwiYl70syaJtlr8zO/Bqf6w/kKka0ToUpo10 nneULhTmbPvOLhjbJWPS3oem+6WZaUOBYzVln9iaHOXcp1sy8ACfJRQ1j1Xc4G/4UYdj8Fm2hX7F dafBOxoJnPP2gc3yZTl9F+L01wCFEDExGAzFCadFgjtfEA/TD+2eu+JJqojds+g5ZUH0pjxGmumB EN3IVH7YmVWKM0CMz1QrAOfDWK9+uHAfwVreYnSw2lIgZ+W16EK0Ga7X4J/5r2XpDWeQdWwWqXbs DbN4rAky8yWWtyRSjowZdA2/tI5PJ9+WjTQ+m9JWlXrkSqlaEB2ZBq8bC5HZ/0bGoMXIM0wG6u46 b0CIgaSTqPgjvO7+RRLpr83uOedHDCEc7+ZuJl7M2f5e96/t4QtPyW7/sQU/hnqASlAKXECMchtU vDBE42IrXysBGFqspu5+x6uE5aYy91novQ4R6d7InaLR/zWy5V94M880gic2pChln6ufZQVl6n6v ae23Lew5yN/ecUFtBjev/TmsLoj6oX7/m8jT4b05O7v/CVMuBwMC90U/d0FgypV8bArtPGMN4dvh 0LbEI+Zz8KjLxQ9Zz4a2RgZ5btGvhIEl7M7jCqciFietQJqNti0fT6VtL0c/x6/VdCwbLXmaxTNR EJeolTNWMmSR8wNuxY6Gll9NLYDpUwDOhG5WIoIc3k6HMlhUiYLcFsVlN8UfyGTw92XSYdQD3ONz HGaI28/dLqTv4PSwleXpUcXQhLitzllMCBw/7fWKa+glIybY7a7Ri6R6YbJaruaBgqxsYYUMCRu9 bXWVliYEqHlKHgHH+5fG6DvskQlJ96f1y12K7PwDddgiZGHzzjMEt3wUBEDR9Hjt+SK4jA5sUP96 rtqiFFcv2ozXUPt/0q8zVAj5ACVRXIr0kVHjjphfLc5CPY2y+pAV4n3hEYx4KD6bFOBVeu2Wo7i7 QV/IHsPkbQbvOmo3o7Zg96q2rypxfvEZZ/tfJ6zLvoNTypmTCw7YNL9yDwHkJR8Nv8kp2rfqC4vo QTmmhEL4TM1nyNoXLTGu+PctfoCL8ib5SXt4MNlWxl4E2wMWhPvnjlV+s592k6ldFCPwuh6lET20 PM9nCAk5bPgz4swV8aTJ2X9F2+54T3OlPODgVDhM3wfV3XtxZYQRX6b9ZDHmQlO6GpmYOL7OCR0C 6H45i2lBY1EZtw00R99L6pCi7WSTfRCUFYzDeqjRcibuWu/XJHoxeyM7Ew++Aa4asb5oxqRI1UE6 0fl5Vol6vRnDRUbS/vDyaomke+4IlOjEI2TFb7vM/3BFnUCo9121SKGV6AibPDLtypSVShKrndOC XQjP/LOdwe+7Q32SyzdNVBuV45OWpZ8tTSlOjO/H7iUC1bKFkYQN3j4gMJCU1w/UZDqedEtCTaeT +deABiC356m/7cz1HSt8ClNEwrXm6UwYmqW9Y94XNa21n8A/pIc3kDmMQANNmSIsNVfwHqdm2l/U 2Ra3QX+qwOsmqAPTBWIWxuvLxPbbqcpY76e9e6M3jM+kYIam0m3AxNXoE8JsC4V0h6gh2N027FkB SqTOr4H3bunGta4TTLtX0Ji7pNDs3rBpRFcPVyg7ctx79VcCxnbBmmg+KOr2y8zsr8nKeftNR771 AvqN/1LIUByRFA6SSd0CuAlTNlf3+wICtXMSYI/Z8m+gFkIycNzE1DWr8hUWz4S7sxfDatAnM5Pa hAxk0namAkr16Ss52R+HMmkOiWVYC1XVXb1kHBMhMnsmgFJ9QbZVtFEaCIcg4dCzibSeVprleadE b0t9RZHoVplbHGkZBwR2ifEElzFG/NtMDL4pzBOWjKpCwBx+iFfmCRddGUtg+BC+e2j7su8QfbY1 Cng7P5XsTqdj/gNQe4vVvHdBRyWvY6UHMax+srkv0D6FBy3KNaVb8mzSKWwpG9WN1KdE7/18R4DD fyMYbTgrmpE7ytEPUB9G/KsEK1xFqb8yYedecgK8aF4CXJrXWJg2wF6LGQye8MNr2qdJY/ZozCpu sKnjnLPaV/NrgoByz69VIl+hJZHiZDKwIw6QLZXzIC3Hd1Ch1sjVyM80SD4AaVnzCXIuk1OIEWMs mvqNiCPQtQRdjIXXmliqA76frLx9mlmVCE/OOs4hrgHTuty9a4YXuB4EREQzHIUMEZsB4aKqb+19 A/bMgJ1OIW6kJit9yi6fny6ZasuFgl1AQdJ3LB/Rc1TgsxMmi4VATb5Z/vDPbmG2yG6omWpvymiJ CYWo5l5/xZ63ffC3EX1OnOO+L7786bLfBT1U+ai6lKwHzbRCu/d+oCTfIyXKp3WLw9BK8VrHZd91 tLTz5rcGYgIaIqiNFsLsmuBY2YcY1UBkZ/84xwXwmqWdQxrHZUC7xNsphTDNPGfpPD++gunvtOek OBPjvBO+6joGRqvaKD35zF2PKcRZu+0Kx9/xyIaDebWP3Div2I9R8SctxnG/Jb/khyAaVQUOVGs9 aRtzhtQAxlzqQw8345SDjxo8xmp1n0P0YtIB/0A+a9uJweGrTCa4sTBjbtT9587m9uwXwzIzKwS/ GsJOQsN4ju/xnUxlFMROSxjj/T+LH1dDivlBtZSffrA8lnmRQExfBiuAHcJFJgyHvAyqCmSMxyWf zksuO18lRMOEC8gzbtkwLZxxmVBpDPx6wm50UfkA6if3myeaVLrHF00hcRKi7Z1COs2nQpGTvuFq GuctU1aLK5vbBTTjRx36ELWLY/Itw+fA2AFo+j6Zy2s4O62NwoLoBSybw2s43rHkKfh0iWSuMZ3M fI0+14iN90AioZJPUsSkKQ5JQ58kXq2neLnye3pbCluIJE5uuSLR3ZCWvh20WUi51qSjDTevXSpe mCtsCU2EOFnPPLbjz1FbAY/JTvQ1sKUmrzQF8Pn5qxKj7B9kVOLgacgjm7EPrx1Etg+5k6RE5DnT IJvfzMM9mpk+sXRqAcGeVTXdJYorr63lpdqiqZ+bdrC3LP4Zembyu/e428e9US/eW5ndTMKqQgwK NkiW8RlsPnfBh7T95D40Mvb2OfCtgmVVYnhD7zGqSBIRudAY/a9PoAI46QbpnJ2rJp8TD2MaARLE faR1t++YH+cW5N1v7ohBE3PPStCbVzdJow6AinjiRnWJpaEyFRssU184HaoczonwsGH1Hx3yLyFo GCwc/vC5Y90JWgQI1MFtCDGiwunTGc05p8nS3tB2RW9JSZL176JtquQnOtdX7jWOtpTuIH0RnVxW bDYgmxC7iFhOYdMaK4BSREl3qkJFfN6Y2CKamtcFiXuzXufQhOYbbnYBASkh9ImM74xBbRokx5ip tr+r5Eui0wA6hTBBBtdAJR+fuVNOqW9A8NGXCBsb6j7hkri/3WDagk5C3sRyW3rUkgZiOPXFOzTI ik1c7Hj8vtaNpFB7Tr4rpNOGXjv027RzBg6d5KSVZftSNiQBcIfmdaH+8ZTgBM1W+aulnlYf0iSz +lTF+zRMvXyy0IU5Q0ERNO0Z3U07B9Pf2mJmNrVsobFBMVA6Yrj8MZSiY0ArETpmFjYtnoZwp4y9 VU0gD9clxU9zOuk9rvmTdmlwsDXHvFMNUHWceurzyR0FjZE9avrnD45PzG3Fw/ceYWkJhbDyZUoM tDR7EYNlA9CyiZcWuj6QXGEwB0EluLmLUgFujxUDtue1OSNkBsBsn/noNr8FbgOJbUvppyU+NDV7 JWq2VqY6L06fhTPyK5dKf4sv2nH3M/lTouMG+DjDti7lfbmOcv6zh4ttbsPQo7044wNmh3uNgVDs LCScJN8l8csVmNcL23LREZJ27P30/cwCwH3hUdTEgiayr8E+IthxDQ2E7aXR6lMvfCynrHrXvF8T BsHNNlOvL8eE2EHjuQCVjbF/saqAO0koB3MIaxM0ArPBFfGS4M7YaTiwQhjn71jwceYxRAVliETo 4k5wrG75uCKev4zPhHUfOLmgR2xTARQeuEI6MS6RbiXFiS0p+JjFreF8Wt6vh41kLGPOSgVktwB+ d7syGB2HgoIlzOTp1dG3wo4SecuvIzgSsGfulzUuB/g0UqvaNrentKNkHClKBxWYj63/73VEDw1b 6z/5YyhkFEYtZsbtks0wFqaeWZQOYDWUSXfMNLKkJfGbhUlgB0YefD7MKRz6uc4m+saoI7cizqZp TwCl4q2yoIqDwCR+AQm5fvAV0bhms+R75wlBr0JKQ92IrVbaHRftnohCtNbxFcray9aQ8wUmMU15 w/WL0Z/nQUoS7CnUU3y0hNcTEdoo3xkd+v22VQMLPdZlsY9juvoLZdmz4KjEF6Jz17TWSKXArK54 QHM31njh6t47eoWirJyouFRbiLviW0+28KjwCGw6vGgzBDWMgQXJhkqB+ucG+7CJOD886+Op7OJr j44wiS8jXJ33Lz/mNuUOSCOF0oPlEeJmLOCyZh0hdBSqDQiu6Tl1+qsBW4Nx7/uiz+eHFdrVl3rp ZuWwlsD29hbHB9JHU54SrOBYOkVJFPqr5eq74MQmr26t/nyOg0+Raczf5r7I10NeaYxrRnc2Aw+o HWuv0vq+uhdqNOaqNg1JDPu7kW5WoAilWJ0RiayeuhFqmodXkkQVFDTVtSFfOn8cmve7AR9P0vgy 766oRJBcxnJHqA1DL5uJG5j1AsVMAF+GT7d9sWuwskYNQPRrnsKckTgzV0ib8Aes4FgM75WC0cdg kF24Khp8ePqoIGzSVnA4SzgQyTRHSKLrvJE0B77kuHLHvTcXwUysmtCdgBWndakR6SsyZakxqm1S je6wlgYaLnNXVCIV0zR4APs4cyiMsoXLShmsARbGGduSeTKPL72/+xiWf5e4ZsslVGCmvJGfxfUF LxF1f/08eoXFX7k6wcusE+Y2ekVfsMn8cXu1LhbEUyADrePUwuwy6KxS4KSHbAeaQ8ChMNvSd6ox u3SBgHSnK8hfLnk+75yr7+CvdzNFgXUJMpqJz8xTb0hPaS7Wl12tT1t57iJ1833kKBh8YjFQU1C8 TifcwSBZMsLw1jMCZzCprQkOkL/e/HWAENlKyqu9ZffpycGIzQj9yj0BiOyb+oeyJEZ6/11U6Mh9 XpBCypUtt+nTpu++teeIFrZzpIKkidFy0bw3Eor5slXp3uwwqhjsl6SbE9vklg1wHti3S9IsUiow r2RLzUovpNhH1Jfi5Jmkacso9CsNyCk0RwTIoOEsb39atfInWjkR/8zDaAORbSEJ16CR3BS5xxf4 wWs0/wsPvp0R1lT7XM+KL8eLSbxYUyYs44D+yr+WV7WrSyQGVi/tyiL+Gj14Dzx8H5vo+EDJn120 MbAqeVbfynSaAgxQBO5NBXSRyqn1L032EUP+MFjLV4dP8HrwEfzvcpDWgKygiXtGwezZVy0yzwWS K6G6u12QL3cLhDkK92OgfodJNQRSJCxOWoB5e2uaAuuEhxdAgv66Zvj9mpyHIhhJS7hy5iUVIfhI N9H/vvYWv2NDVsHXaBxGYlrfWaGO9Mv3JX5jrY/yqqYDsTL4IuhO57ITqHNu9rybkOQ9kVBXQFmQ AKO+2Ecken+M7OiFiI0WA6iNnMf074t2Xy4Q29q/UBfuZXQ4WHxwd8jUinvZKLN0p7+pv4oahsUj /B6BuhLduwfC52yQei4MGT3I6GIqDL4AYJkSFbJaWVNKzlYhtWpI9j7sgg3fVuxkTM0myslyD1II ap6E1own7kNIQ1GKtnjsr88ej7gV95JxMnY9raKgaeqji/2v+l6kfQcV88wC7C32MNMbBITEuIdr L35ueRnwYW9sPFrGA151s91T18CFPN9U0/9x2Wlm9jEtWNyedJKgly7cRNT7X5ZJnZJCgXN5WUDC CJF8XLXducdh8KMrIND1ds1B41/Q3f6rHsuS8IcdXcDXDuK+lmo2GACRUPzEbAXYujtjpH1H720a UME7+LM/P9WuNSooMqr0bXiqftGJN1fgkqqPscVPLqLPvxpstb0pzHylNaisYW2JQw18btiwrw4a PnKuSbNGFYb091HDAu6Nbzdb4eLHdL/v4Vxe5jhmninmOybB/NkNG2pVe/jnbdAHrdhlC1I7pAZp u4HuAjd6dSy2624wZkgR1T4fKE7vDagnHS4n07f27eoTWFBEWTnswj8/US3E+l9S//JVwTvFD+3p 2XyeLUDQVXKYYm0eoEdUB0pea+37YErf6NNewG/T+/MmI3nyTiPF9GooGpRRVylidC8qJNNsWWso 6T1IgeWkexBHFI/rRz2HbjW2dvvYXSttK4VAlEd2Cu25dqDPEfbvJF0mUAKAGmqUj+FKzxQX6hC5 WLlsBVQJyPH0VlmCNOJ408Iw2P1RxCHuuErn4XRbw1JxlBs9xkHwEdm+S1q/a1TmXunhd1a7oYMk WY4FRGfevcE4YGBRAJYr+2pmZ6BVFYxkxb6sjvddwrRBKGleOCeTY/Z4qrNmZB4MMuCHOI4jfhag vUGS37iKt3RdEZnRt2sp82cadm4nZ2y08Fv7JDyefa8pD6HdegWV2CDWGli8Br55LGtXEStBHG5v KeLUcvsHBGg020R4XsNZm824TNcP5t75yAL6wq86AfjOEMjgAHinve1EDIZXvpWYpetqLrNAWtFz 1/LQaXwe0s0X6CzaM+oVCnWHdwqxGAWi8DwHUyhMsF2M13m+caNBcD4aj+6H+u6XfBxNndozgYf6 x31zRcKOpZNxRtQEhuonQgrld+V6fXKxWSd5LKECgi+HdGgqXdqtpUql1I2dd3j7eZxB7Um/zPgj osYKLOKcQWMZ/kN5r7uIGRdHjKoXnlQt517Px9yHevS2hAMtnvO0Ho/qH2C7HALNiVK7GBUzaYMp j50qk/yUPcA4JhacBNf3CvKlh3BmQr0AfZpkgjGEsXIQbS9T/l90z1dWM6+3f0CVUhH1b0ibOKRs /iMR1qt9OKFTNAdHGs8TKvP04leQ3mAK0scHOk6BA+c/MWlIojncWAhcyLTjFksHpgqEs+/UbAez JSD7mkTd4XUDA4BE7jhfsDi0DGmDnMaFAkf9xuKKzSzvE4+vumf4QB5Ojylp0CgHfQqYMk8atjVj S4jvzz+Np77OQE2wGFomIbORHNoeCJggXEFyjc+6CBc57BfiGSQZthfydVnYwEuWOKPmLKjnihu/ 4z29QedL1RJ/ytkSpL2W6+CEmze4owdCygKyqJ2MOlDURlb3+X3AbngrVYMWVbENq3HO+BMOYQFv YS0W/FNWCbCXcVyx5EgWCQjXw94+0rDnoLsL7SshZHWgzGALAl1mcBBYhGwucPCUGRs5AkT/PlbC Ci76E7YEJIvawZjYtBf9Rcd4cJeWKIVnahhaIjw5QLjCTVHAUVijbQ6cKECdZtX5muzs61r6PQqd fL3v9eG5uPLWGT+kqkOkDedyjYbMj2OpXlHDg9gyXDPrObQIs/C9gAei3Q1kIcwcQ9IrLZbrJX32 5OYGMba+h9h5XDx1fMM3Ekv1ij8X9ahkKamoC8sXmp8pN00j++X3OEUJM0h6GUxs4Jt23Uho/gKo NSittMfFXAh5UdhrgueJPeIlmwr7U0I6+ZlxhOz2fk6mSghvEXy9cCDs97A83B9WKlx/QB57ef9b JD/8xBF6J+0tTSJe39wi7wwZexbnrycA6lqMLL+n/KfUg3zVxdZn6g3BEefoDbWkxWmAh8ywCV/R DWp4B26QaHSPvXXlR7Q7TfS2tSDsUmypipQFWG4jJSxRWgtgAhiBD55lZA9G2/HULr+8k+alWafH bcBkn1cFuPuDYPV8tk4B/9H5HJ3y6IVCiWtSW4g6EiTR/Ui+IceNepzTC+B4/N0CTViSzNMk6O1i A2GVTbs6ReYi4TpyubwyT64MUgu2td57DaTzhnpoJ/Mzb80K26Qz7cZs2LCa2E80faT4B5E/lAJ7 CIaX700dkjrud8INIVSNFOTqQJYw87yPFeD0NGp1mLCcB+T+DARqxVBYtLF6bepBjupsxBp9hzdR 2T1eHWkWhSxND78G7Iba9K/Ta3kZYnM5vChq0bIEd8vp/ao3D8jLUnpcBJIxRDtYS6ZWu8KlxLhh en969EKbvbyP7XCKyB9afR2S9V4fuHuCITDntHDg62nzrrhGpGSbYdmcE2WD7g1r4KdEy21gzm87 KBybFj6RHzLN5fH0lyXFLnUMWkCOtDfSPysgH/Tjzpd2IKvNss7YXRuONrGXx3sL4aCGRJ62zPFF 4My0xD38Pd1ENR864IeAMoiFR8kEIPd94pYckJnjfDc6NbQLO59CkJZ/W6hAR0UPzdkt9PQPTbQx /jwqJx0907fkHzlEHXtPbzKwxEeV+W28q1KEqfBZEyUlhjBQIbh5rCj1B+sZR28WgXPBdWPPFcId u8xsuTbqdLP/KpYM75tlqyfbKRrZymuLXV2s4Pj/7YeYyTSWgev66zyXkZkAgpamNWkieoXH4Mj0 kwxVhnzPovbqwlA90hbl5su6m5jxrDWE8dhXuZpLx97oUBDvdJom9xE7z7csoRG2hzlM0Tji63C3 EHZbVeMaCg/gmgMmw4iXzny6r4z7WIdHTrskwX8CM2cP5fS96LtbxXgKBu7XR+FubsAPt3QGsDNk ng/1eJ7Vu/QSXovf0KpUk3qe+o/25C0mHyygFOQb+kSbncmlrLTolQKRGG2PQi9XpomLolzBJZf7 wCLGUoO3/xH0YRkWgb1Zw9tSVsOtxHFEiOZRW8bEyVsQdIKbX5mADLKwTIVW9/KI6Ou2PQfyaV6G smudpyEtkmnoUa5KALKq+DF8x+UAT5m9FRveG41j3GgLVtcCFQlgFAqX3p006801pfOM92zVhBMJ 47xCH41iOHZRjUwO009+Bw1dVW4KiYM6KwLRlZfbN6zWPh3XJpIQ6+LnyWrF4Ysi+v4P45UkS/u6 eRwzHjShxoUbq8Ksx/dz5QGCsB3hCbJP9OCQx5JOdMNfhf/Dhayap1xVOQxKRYOPkAHUGiLZmwHx 9oH2C03m6K5BOMBkcu5VMK0iGxlZxvIY2PL3sphINbF+i8LMbss8YSb9p9E02tUjHwmrw6LlPYIQ aL/xjeM3INGK6o46T6DzyTb9IFUZ3u8iREpO2CM6NuWgWZWGu9+F7HG7SdrcY5xamkiLOhagKzjO Z7Gqg9FHuUBo3p+aD1OHKelUS+ZFWkdMycEwNJmYnYQuuf7pd00caZP6bZGH9XxXXbiF2Bga0TW5 qRMxKjPokvCiDKE6fFTBST9LHWHCYDP9QSof1xujRGAtcu5pV3botFVMA1TUpV3g2rMgyyd9nl76 hGGE9vsmxJYLjiyEda/952YsBIMg+RZYnpkLAeHI4CixH0kNH+JkzVLkhq68E0+UvTS3TjDqXt1R lYbpX6Eh+MpcO3mFAVrAcftp7W1EaH9yOzoKW6vJgTfxG3cIKDgNfzQ7vE/4PmAn+fHdl5ghmjpr N9tNms1vFOEDaADHxmCpBw7BzzzhdFq2z4ic4s80F6sPwxqbdC8v3ACDe79DpFncOXf8LXZx/YW/ 2jSHd/tJPrJLWMROlFpFhRZ6YSb4quutLjkBlmXEhvPpGJ/J3LZTReSDnQ7yZD2Td49katWqdaw9 TrjSR8J64TVR/ugZyOrr3vOfCsqURGNVJLWtOMHZV157G3sm7q5cj99mR2DixTMDdLU+wpifKCQ5 dTEDMDyJC/N+BQ4t6MAm+0npXPOiC0ywXwCjwXMmMfL7xNOHeL1RT1WbF2XFBBogyN8JrKt8D67R xt8+/EULes9W8NNe8bnrlo2nZzJ5cjwiKl4Ka7dJ9XHvbTe3S4I/EPoSQdMyeLx6vCttk/Uva96h eTZRcmMQ/YzAjdC7Riwq79Y8EPL3mWBpoSeTANqKCAgKMJ4dSNQyoHxz8vqnoIQrU68Z4ShRVmbK dCQ9rvh5k1Zi0R6fumeznz6JOIpZ0nK6eaRbGA/YVebSFvmJpf1Ngm29me8Khy2YGn+OQWy9w1Cb W5GvicDd4RLFn4h1d2SQITT7/rdFqpy3g8iiaxAxpQj95SPagQ4shnSYFUUNP4zxwlQ4UYlXnWSH lTRBNGelNX1XXAn4JieFggbh1F6Mq8ZvcbxF5Yw/h0ereWRrGvZ0q45XIY5NA0Su0V9X94xcLEpT p+/nq5Y98ieVAkZ7oNbBAqnAVeYKyffp9ILjOhxs+tQmbu02/zK/bexpLVh6+haPyFabnDRRRZPl eESwGqX6/T/4yd6EIXG1LkeGi+UgxhSpOj4p/UaIoYH9jNtmedSTGvxihRaes3c0MFSsndD92Lzh E1Rl4/uPNGkdWQUfEGdfApID0NzSmlpyUwIvqIA31qxAetGB/DsDXjRRfkmXuWaJ1T0wjzIJh7cW Epd4vmtoKtKyY9E1m+f+RgOWLhVdGQdYmYLiKTAOgmwHP4o3qe7QaLN1Qn6qonGUauA5UzroWjjc 6o8b+bicNrhD8RKJwiV33yaGmcALP/TWoitT+1gdkJhppnttY0W1Ivz/PizO00I/f9V3AaqF5int 9AiXTCJ4kIEAO3Id4woWWnDQUfgZNCuPohbt2KvZx7k119qoy+WVRGerh11d8P0aMl82SXdfMvf9 xPV8ZMOKa6R60z/DgfQpOweDJILQ1t3td84GuHIaI1FPwX4hdoSlyAL4O4Xmgtli6qtaidKAA3xL YAcI8QPIaZ+eN55CJ5jqpM6KUGb/Ok5TvnqPgCS4E1xhLoNSHbbE9pWYp9PMVzBG1WbtKALHvrhb QjeZiCQfTMGfgFEpyLRvi3DkaydMg2z4IVbRUFdpv8i3Stq4wRSozcLJhKA4+X2YZgqx4t3CwHES TK3/A19tQy2eqxKO2kPCZNrFUg99Wx+YB2p/fun0wjM7+TownKbRCcoTRfheubXY0U7U+CQrw2sv 4d8Z7F9O3nD6vy0tFWU0CycIzQNSXGXcccvxoCLNtexkNj1F+0076GRSQb569iuS/TyOfGuMJOqF JV5jNSwR6yHTuh0whuOY1AdCvEnRadTIGmnjKoV9T4eLSMpbzyWK/TApG1bngCbLRoZ/GapfZtEU xxgwkLtjUWXPfyDapjcG9aFm0WkxzFE7J7VKLdFIHzqtJZlWe+Rc4q0m0Td0JyHjy4+TY5xoGBQy gqof3mqW2Qg442GiAB6Bpzqg0Gy/oKCvB+NbwppTZEzgA0TridK1HubvFf2LJVFejT33m7B+GzCh d3eW2NYsFnYdRR94mCxmgBKblcsTgKk0bLNLZxzNKSp5jmLp2SF35aF3YMt1aJ3EYI3/TTY1JHi6 kQn0C3TQpKOTrYzSEzsJqVbRXFHZgyGqmb4FZR2Iu8iBIEssax5h6s3ZB0WGgUDVa+HiUZyoBTfG R7Mlvf712JKFkXJPHHcp+vV8gyoJmhy1yrcmjp8xAUGvLqrW4v06W2Tk+gte01QEPWXAteBU1c5m VHnyRmYc5UCZ2bF3INc+VrqyCpu4WOyU2BFpYdbapWA810NWT3huT0nKzkTJ9TQ/EW4ojW+7iRT3 IgPSxPokHrc1Sy/GigNmooFiflzU/5RUwEo8UMA+cNHQEZxbANi3bVDTz+x82wUZf7Bu52fuTZ3M 4XIa+luS75PK4T0JnH/Dy8ShEqw87iIqodO7l+znN/QcoTrunq+SRHZ4j9NCon05XOMa8CkJ2Ngl 9+/SimEnMxXZgZ1cjujSkTP/B+bkBTlZow42dUEBDP1qQBGogqBQrD2ygKMfty59YFl5G4tigJ/U 1sQCScSi6Bw2Kxn2TI1fBzm/52VGpTkIJ416nb8nAWV5lBGEKH+ktqz6JY9rbvn2as++hGNXbj+Q ZUivMh1wnOa/TOHrkyK3nn3DWmvUwx8LZmFc+ClyHolSwAD9u1T1VgiQPt+kMX8hPGsV86RUnjaw mzuuURYSqCFOxVrzZe48MLtemeJeKM00awcwKD3TfefXy0y3eRygJrT0GeuPL1olbFMsqAy6Pjbj IC9AW2uJuSqD2vqjb3HeTowaVqIiZGGkk7sfCku0BmxmqJx6v8U8Cwqy9aR35jr20+ZBv5lz8f2U gAZzOClJXzVOvvbVtCSzhtcL5BR/HF5cgP0q4QykCiNxIBeG3uHqbWgQXQ5LwpXCVqKBbVT3dfUC 3C78lUHXRzyBPAZO/kaxAudpcTE5tiqmxrUwIDojC7ctUzNoGpBE1rauWxbuuFvcHPyQvGblKfwV 3ktidDq2QQScMop946ubVprvUiXzAMuJ7H+kkc6xsJs+i7xbpHD4A+tGEHL4Wr4XO99nohmneIzB 6kpPc316aSbCV+u5z1OTKwbVfrIdAwOUdS3iX/AvyqkgoXKqvl4QswIyVbXFZUbaJ2hnH8G/dUDt viGNWNEV/vCd/4IjLhcRz9FyaMzZ2k+L2OnKrND4eFQyoNrAOFgLMu2hDzpo9rFa5+UG5reAmbsq 9V04JTOx3NerymX/57OpHdcHs4AmV16QCIYXoddXahp7mGVGOiytrMvWvQj1eX3AnH2/pJ98aAyr o+oE29AduAvw1HAWDUHftZFe5mOSkI9o57Td3VaWp1qzlCEVhBlHVgeXnSSMTOC2SsKn3Vp87LcZ xi9jtW339kA5MothRtLGc//llRQ5AUsh+LxWvceJsLk8EX5oInQjX+9yHxTOaJH8aNxsp+5vmvp3 7ELt0ltYBQkhvx8vGWp6tUlCr3a+IjY6RknpPNxYQL9vJizcA3k/hz/gFr8wJReEm0B2oysyUNim erbB5f5vNhXHaJupXjF8oIFpZ+zcXyTUUwpYlnPL06bLqjVCiK/79H+ikBdxXT/0mqHxAFYLFwi/ 4TId8sFA/tBITjGS/ecgQVNrRVwc7ooePCji+uMSBydgHAUO1YBQtVSQmiSpxY+RIM+2xQl/Ps51 tMg3Bmg4aalTAM698NLYH+ciHJcX+RcN8EuuREjxAPDR/+gr882QNJQxHg8xHQ+2Dy9SX6C3YqCH uLyn8cl0wkmniE+j+eCTGJ/2W1npog0gHxHg/Ggb2qzuudFXJuKVuQLm7Ks+iZfUNr1v8BwoVGF+ rwiaYu9BG1tSkLXkbP6MhBy3laRObbOv4MdfQXus/Ke+nFOHBWnGmD557P31WSt0AaCxeR3hdL5C XhuVnbH6bzExkQ+c2EWgiT+Ozaz+ts6T2T6EEorEclGzWAtJVhmjCV3vHBxDqrwoMmS+cTaUxRXN cSJf3kcuQgurVDWpENoydwT2CY7JquZv9M3dQnFPmVTwSq7pt6NpFbLTLMkfTaUy0gxZlpCU9E8i 0ocAfCKz1vlur9HJu5NwRudMBkXVsdxwXkxz15fqGj/uqFPSnqfL4v8gfkgklYGL7HXT0i7VCD1Z itIC0aXFl7SrLSKjUcoKjV66reVbx6zNTVI4JunmINJ3AF//TBL3nl+uD4K/kWbFGQ6rRPVC+rKR IkG/kBoOw2Fbnt9Ex96Ipff/BAKXiX2h8tG71g4WihiS74gIx4whmyv0azNjPCniKhCNkj0Z2LC3 COFAkGOmXW9AoiVNI78je5dYi3DoRmBRIqcSarEPusk6zM4ZS+PPMl2WjLRpgm33V0NTbiTL5+GC gzAlZufb5hmegjY6ERg9MVB4i0lts/vcDDKyw0qVXNVyA6Iok8iMb6RHfSrGDo/6Cwz+oRjn79eL GhdSmvHvrPaG0Kv7fhXM/S1KySpHj5SrmqtRht2ydsPIpzPnDQ3a/xGsm9PXcRn+YC3jd6z+OcPS ScPCwC0bqRYbdGS4PExkju9vLmqf+aGWauQE2fnmse5qzdZth7idcsPslVB5A0gnM2OkF6hjaLkI AGAgm62blW+AqE3WtGjK0p85zn1A4s54yeyUVzAwFj8IyHSOuocokicTejTByBi+MtMM0zE8SxWK 5Lbc9T2FsPzuJMKJasKnJrofdr3PdCVBBcMnUZW4pKdLjf17lyqBcFeyKXdYqeNjaUiu3o6cjn2A bTd0GdfHLzSm+BzUlxOBGACrs/6tqWAcs7gZji8paQeQSw8voDtZTbF/xrzFYekHRtQNrTZbWUnc +SvaGKrM8kM6MY6cyLQh2G7QhRe5yvY5AucUEY7RCusDaM0rX2hxI2ZtSxl+Qy0PnyPZ22cD86Ve yLbaeHIESZ2aH4U2e6uLkdY76YZPZEIxvjhrKEe6vKvmRYp5p6a0/5OEYLhdXqjJudtd1lQXqUWt fhLI2hAEzWXzMykdbfhZ/++7ZWNvSnA2j8frfado+Rb00Aqcs8dZ73HLMghDvWszMbMCz39U09sy QHlc2tg1YsYWIT3jlfBbPyyobeHxvnuT/QSR8R+flozbMcnw7UpWMz/6ViYpmsKKrEUmiLlSD9nc /rsuMh03CNvuc3BGbOOrctKtPZ25jtvDWOBWmkPX66+608uTqWr5aSuEmrkCq5Vex+IeXSZ8H9pi 0w1rNmbikZBSM5Av7N+qmxcg3cfPS29dvRl2CnAAY4M1ho19KragwiWm98XgUXIhb3vMp4CDtkkW BXTfk8o/j4sPlT0AuRRlIYxsv9ns6sIX1lczdYW8z1+LPbuTzhCTgTzP2xuSom2XITbbgfCFrtnL u6oNsoMfO6FV8K7gb0BFZEfWk0MBGHshuV9IccqjeRfNb/zyORuYG5jEyzF1dIENOwUPdUZ+0ZZl NMhzGOOTc5M5eLeNkBiXH+VC//h/Fcl7VnQfslHjS1wb7GKlKtmOiDVzTURsh7vy8zD1u1VKlkRM mrPS8Pq5xJzNx0LMW5zOrLXzv0OLJ0Ndch2KWm+z+IL+gXDeu0B38CQlCesBocZBrETq2+ClBoYv MH0Mv2R02I4+cuiHsRRSS1DnC6ev6IkUE5dhR4FMW7WpQKmRA/RHTrEHxOWnXcmGWOP6LX0qp7Fr B74KQOe9UVuMXBYdel1M/YKMJrgT+m9asfVWf9YIgYC/dZLzYZXukKIEwCY0tI0WgoD1bW96Es8T TFT74h2QpzRskoNu3Du4sb3/dC663sj8ohwNQv9zbQhbiTmXqj9vJDFb9ygThbdIcHwZ8VhXNvFC B/GnBBELjfkmCEvxqmjVvaQKWJe9+XJf07YlZzYxV5YuB/8t4COq9GEFJuZQapTD+5K3VNb0PHV5 wTW00rgilqaG83DGj3fnwFyhF1uPDuQQB2k3l3OpXB+OqSImYHWkYe8Z9kPSkMI+uNJxq/44Fozu JW1Nk+l1+olXaN0mnBg/NqhRmsBPiqTSehNskWK0eNnflDvh1IwGp9Uv0IPUTK5d/kFY+KJO+EAZ cWRdQT3Ut+B1US10uRC2QVIbb3fnkqe4qeetWiifTU312x3Fctas4gc2b4n+mOJTepGFN6ZUl910 1lOUr9PDQbTCppP6B5dVYiKAON82XrzDGgKKRiy71r7fwVyfWQS4fK4cIy49T35VmtmBYvMYGcGd Rg9GKFnN8/zZS66cjniORKLGgKTq5XplS0CeEg9jEzboJLCgUmzMq5Kn5g+BosUDyB3eECdwmTsX 1XJVcLzmUykQE7f+OOtVpatnUL9HYRXsQVBvNxSCUc80kC48qCEFyqvSF//dFIYlxqNtSRl5Km3D qTbbThuVbKqj34AEHS43d3nwpoUrLQIyL9aBAWbQnCT3ZwnxjBwTEsaUySDGy93pyG/nwo3lV7pJ vfiqXhPN6Ed72DbuWunPbCMO1V3XdwxeHUmxl+NdwZ4Ucipp09dQ4NYY8spNowuXMJz90ibIsAqA TEx0PhBMDMW3mEBpGjTZyKv/NqziCE1iUfc+jUFpF6s+5kVV3EP6xaama46V4ZNHfX/dXtOO3zAb LpsRhmP1pk+kEAL/2Njd+Tr8rVhkvaDPbcJS03uHHfjQJAZYSOIr/iPeZ61CM4nL4/aELCNjc/SI /iINz6vsJ/xE5OmSmiIQFLWhmdTvpjNn/MOZnfa8qHZQOkRZHxjTEJkDLR0+leMY3VRCFRG2pH5E 5EBd0anXyZY+R2Ft2HBHNRto7ZeNuV+motoRlc9YGi5wW36+8wCp2JT3S4WHtoDSOs7cPvetvInB FJNswlcv+fyTtoG08+1wspU7t08Oda2AFhUz784DnUYbchUFtFpZixHSElctd7gHJVS0g+qudzl3 f5wY/45/fasgZOm/o2QgF/RLqacruVgEiK6+VsQanEnjp0224ozEava0cUT39e18qDlmJAazFryu RPYn6xTgUKOozhZpxI51PXUvvcYFxGS3zAMOXT2FO0MFDPrNRjYWU6J1iLUfU0VWFZZU5SIncdSb xESZC0y2JJ6Mq10pmItyj//heNXaITANAyQUNe6ZYA76O/z2q3DyvPdsyg+vJNBwP4yYoFM7mXdK Dth/4UoFuuIxAMGo9QK7cbMACSGR7B19cylb2vh/IQV5suItQQYz6JdMtMbjEyw6FvIOZWs2bJDU jEk9G2w+qnyL6ji4987dxT6mRQcxftvjjUs9HhcV3noA3uTzQ1nWe5uNM4YJtA3Mcfn5Wo8MjyQh FEZXvwxzQ23/YnNITZsVZ7sKb+7aFcWvSHOigNoQiA+gz/EPEaQ67z10mYIq+64darHOg9DHnm/C c32hm0ZODis0Zue5Q6m8Gg3TnfnI6M9C2w4lg/MXaIjkpfPj5faPdZ/tWaGIQw7aMSeEymxT90Cf xmcimKfEpu9h+YcVdu/pSxIA79z9vetlHe9Sgjy6OpmCyIwsYQ3ck+rV+WPL4P+d5V1nGjRMkUvL fsJZ20w4Wfat4jdQVx2hbnw62PdPjGW1umd7m8rA0RUGDZr/wRn57c788vpnSYhZr9s8YNPiOXeu zgoABjBOUa1/nmp5he+4D6pC2GlnzDehz0o1tT+jaXoEqY9k47IS6bqSf3EAfAegxVP1kdAtQc6U U8DM29RpYxocUvOwncGWIbE0v2At4/dyKsl+b2UalHWNZE24Pgi22IGmf+kQnpJhLTKqXK9D+GyR ctpbJs7y41fcmWA4kcWEcN50AuaNOqyuFVZMrLy9cblmYhtgNS+g94/DcSfhNUskt3e0V8g1mMrZ cZjRGMIPzW1ZoUKTeaWIp3AbhCiyJ/RI5npqRHw+NOAKEwuWZa5Ffo009tAmu2JSxMJQFlUBxZXi IuKkXVS8Azslgy0TQ6OK5h36hOjBnVZUH0S7Xqc6Wn5kzlk29rY+tILkYC8zsmlSiZhlgE5BnQ62 BVPPmqAb13yy4ksB745+LrWX1vw/L3EvjtMUeb4dMpt/4HBOOnkORUya6opNNaKzQmql+H6VT86Q 3EvZcUGGo33aHqKeEvUbiHxUVh/a0Uz3kEDUrRYpupYgCkaGIgGa2FVnEwKh6vGS2VIP8CrAXWZl IGZOwc8+DxiP/LSLZi0CYI71AQBROm1XshU+aff5IOydZrESwNkmgPk6SMGSXqaoafuBEd9j6yUO hRTJ+uReuOdQJFDzTEd5GcNAAiqyL8FB1kWa5tcqIN3MVmbfhHZr2ipzIAaorfeZpu24PakiZaPa r/YUm/kJ3S0LKEsmaMNciZyBMwx3LV7Qtlb4qrmlTKpD1956jVW81TKEc+VdTlbzBKlc0yjbKG1v sBoAWzMuyqfOKFSOPRPPZ7yS2/9gfxQEvD1ui8pIb4WWn6XwiyLvM7cgvsSjWJwz+KqsfrxrElS2 mpp2GOqCwHQgz5XMbp0bKMJeXiUDJG7vA/HxuMcmzo5Vel+PqYSnCg3OiuwwadAaxj33cYgLTOUR x3auslE0d1VegarSlj3Fu5UoBS9JmMwkKtJ6kubZjcSbFi+0RBOHETUZZ1ysgBm/Wv41lVD2VkWu M+ozupsQxOBa151zBi2P+a9nYwjeaeYqyYwiGwx1TGGIlGfd2Q5vHy2QGMW0zNuRW0QRn4pmw6am I0DXaH4JJEt4QWkcdLvDSqjM3GUGuw1xQoWvNIJZntzUirmpjYl85egT3a3r30Yl0uP6TOg5g+wm v8F/+ffY/wMworf3Hnw+cN/VShIfqN/WwWmUeI1A8g7WXoE80oj6TR2aA0nQWXPMS/sA4U/YC0fu 0mJPluQPJXu/RzhzfHQ71eIgSPOot+kO7u4913r9nKxHpjiZwrZRb7F4JkJDe/25g8sjuQXVMC8r MepF1PNsIKGSOLUkZvBQ469mAC0IOzG9fC4baxNH4nt/eFA8mnx4jj4N7pYxmiXz65cTjKVzGX3i 8KWaHVBczCsD5wXGzC4rLRAZKsHjCGk0Lk8K9WroZz44k1hAYaXcSWyuI5IIX+j5UOGKtEKPyog5 FIyezINbeoY15DmGp2HN3b5KoJRPensAJO0qFBpcRLlrDA79AQQ94A4w8akhe+AjkAIGAwLh3qxU E8RnQ9qobo89u04C1CORk7iStn23AmJaKn+g+YFAlSerKF8j5kKuXJf08iTrxkle3QmZ3i/uUN/B W+JJWyQBudR6VRrAvJkBrdOdUhdd7Bj3SEcOKyWu9RLaxJlMY498uU5GGJfS3Es+SZnyiqcG1m/0 67mNPu00jP5lOBPciaefddiUIcaT1FUP7sajo+i2u1x0JCgboB/QBjeY8yJpzHb8O8jHBo1ThNV6 hjqm8WDTNsptvB6yGFCO45PHqmuQ3hyJjY1kjPmg7lZI330hypEGmbImITohdIUyxwfOmP+OBZRa UYYEkknEkbchUQgsTUzS0EKFKtGKfQZSVOblX/9wqg2TziofPCKTU6nKVcPL0HRlcFb4hEe7kiqS bfg8gFo7c0sK+neluOCA9v8RuaFKgEI7WgumQOJo8Ps5Q7Z7yxoibjCKMPTWTRWmtWhuboHTLjLR S7HArj7jWlwWbPe4d+qBLqLowFX5gsVVYKCjIRX+/Q5AEeiWIQBl46Y/cZ8dNjrQ0p7Em3Wyc/Qw Er0KfaM/vVEjPf9MGQJ1GftUAmsW4JOb3cBHVC+QkF2agrRxSDj6SocQaSNbLjyekor/x0sgI813 h/HWMPjpMRh+ha/RsosYuug8bGoZ4qUUiA0e0bFjWQkCOXNYqUpK200oI6S8ZjXN8SBhdluUn3fk l3K4Nb27iV5UAF3hL7el+1ir0Psm2sA06Z2Jw0DMy8ybgJO7PEuA/OGatxdF0gTKNofPdI/WlpEN FkfbC+I8Z15tIpPHsPTRfot09LXza/fiqpK8NKI9gvAzQ/FkysMbBsBUoSKDrN8WXm+/HmSDPp4V iXlQlaHCEu7IPb0Tc2VdvLBBNR1/v8C3FzTM7dfOXgu7KtpyihwvUDiEIrs94CvrzhJEjuwlslwa MnTsD6NSLAxJLsDqWoO3QHwGpfXA5o4/s+Ol3B4RgtDOCx4fz4iZlltX8ML/6OLQlKHwX1VYE2x0 G8Ky035ngqajYI4+TBLXjS0z92vcFnb62osbSz7aivbzqxBVg2r0ZI+UBeipyosOnBCWY0ZTcBK8 5Gkfo8MkeX1EE0+x1UkEGQGsz8TifqQoi4GzANZSaudHywfIofHUQznvNsWqnP79o0mpxm+vSik6 tmPfFRr530h0Yx8GZ2rmDV9Ir4GFZQbeObrDn+RJ93wFzkXETNN6Kkg6mmMatbjlIHyFe0aT4s/U nNxaJykbpw0mRd4oJuEMIHxsJF5Dv5XVEiA8KIlV4cTCMYnZPRuemVlblI9HWQk4Y3vd8k4v8y/1 QXjlTEMs18+aBm66DScroejSx9dEcrc48GGBrKGRlEujsnwbXDZNOlSduQ1uddoObH4Q94d2Amdz M6FjAIp0c0LL8wcgKjpMHoYGTLFhazkTxNcQX5S5yGHVcU/7ZSkTs02cNBg6x6IyLUXkQUmHE1xn /zf/VfDFS1KV5yEoratXoudfHOwtwQdpclwhc6Oe2ept2HDF2tBjQm2Et9uyM3bGji+yioDhYK2t ShJ/AzgI02KPmb6PFKm/O7UO90tybF4u0jRWe0hhWj7QeK7E8z3pbsJyuAMaEcw/8HBj4hF+lTRf SioVp1vxR0GfaiBhpwEr/r4dWT+CB66bLzj7bgdgB2sRc1O5vq7ZDbgacb+EAUIFhoDGarT0p+HZ daaXbkWs1MdQnkIgXdDZajXO48T7tFB6WbXHUldY9gzk2BzCQAv4ZFSaV89amojOGWPMhhls31zp efbaKqrn40k+eDZGQ/GWrqI3WU6yRatdif2lRlNZ0P0JS3djnETZ16n4PJOZ6lg1+LMgFrSSJU4g foEinULYy174qbAaB+9LVsx9FZw1NAkt8+vhYJkEKrDZA2+Ep364zMFr8yHAd6iTbi7NPD/xvxMj 7V1xpED2aHMXTA/sDXRfQIcBY2kWVfG2Ve0FCqU5I+PHUptMB1BHSdoHcB7GpwaZ1vFTRPthx6Pc JQ6OqHzSChGPZdMAspYtZCw+Js2dE0JeIQ/zybep6c53nJavv1Q12qUIer0iLl215XL88BoXRF/H +UOf5rSLFkEWgLVFr7efuydslDLafR7lurJGnfoPHnhHc/q0Mq2UAKTZpmmpfaW0AtZg6GWxZFfF R9ZzciN++ufQI8Yr9t8JjmgItmYYD5eRceTv9d5NXAYgt2hFOb/wx1FE/iXdGC5ZyJ9/Dp5aM/ZK 6RSUF0TN0x6DgEMHYIFe1w/4UeC5ekCpPNJB/cTP5zEXf6ClOZmU95j0CVBzxcwWCn9+jFFQ1+xG FI9c1ZKV+M+NaHFT13bwePEiYctBbT4EuS6/LawjRv2oWnPlg2Y30No9giBrNEDxs6xMDsooE6dL cpEf6aJqDn6R+d3WEu3x4PGJgRmfcPt+2MHTXyiqH8g+7pOxiLbD6gkjWqxk2HalrPMCEtmGu5oy VL4yJyTUo7ShgKr7k8d2VqbWeXSiNdtLk0t8MsC0DXHCyCVOG5bb0eceMjCgaolldNW8Thr3h7Fx cHWaGMX97K24GaQMbKRKsve3E0Yp7xdn8TgKf9rbcrP6BYZlCuw7zJixo3EkFhgRr4oIgn0zpMCF FklAFNO0p1zrSWrkz0fx0pIYjepoMlsWOm07xAwUQRF+Uffe8VNLakjzVoMCrzd4AJW221oOz1xO Io4xTNQ5x59d2gVKRsA2noMXyG1K5/h7Cdo+Wn0wwlvs75watygxc2Z9UXtJP9ti9XU1wZ7OnoJD Wz7mGNZq5dSyAdTXExZekGWy89RHT8NgoEyASwK1ZRTlW8ADBgZGOMvDQX7HiPS/D8C4ZYTspWLw wrGTc5URlt7GtpZkNHCTVNAtaPUp0GO/hUcn0CJHeYl+LGSbivZgcfeW/idxhis2alBnoEvm6mjV GLXecDWV4ApGpVBObCvv9D/LeQvpAsVQ0K9f69m0rA1mUk2Og9AS+MIJ2pfyH5Oe/n9ylsD+6Jj4 iTXYnVpFwu0cXIZxgWK4wkmwb4exyMbHWpn/08zx7pI86f9OV1aZY5Bqhgv3RsxW9ArcPLvr5Afr QkFsJLLf/TSukSIdaEEmF0KbHDptno7WUr0IvCxl+qa1hpY/LyFpDj36jrokJja/HijV8ChNjSLj odZ/si1Px6rZF3p8KR26poyOtrIvm3JrHdjAX28N9htzw5QMOCgv+c/v5s3IbNH+hP4AcKWLc5q7 nP9QKOHHK06Dquj0+cCwrEaIr3tXEDz6OWXcZzzZNGjXIxKYOoXxL0BsUaUttRXG4Ek3w9Tc/b8l MlHEljuwltzViCQDbsP1dH7ss5wbG9NM7MU/AWSZEcWCaW7PC64LNwYfRQMx1KHrWXdgEn5HDTdg hdbGtDvvAMHoEF1LFrj0+ySI8hg/dsZiQ891cf2WwlEN/zQys2nTscAZAoguiWvH7y4cxz936vbx VkqTcXveg4UTVypxZXY88OiLrZC7Zf+kYhShcPKyrcbdmTQFQXgHQMBpBjPfbN03z5sro0MmH3f1 Xmo9irSaQJc/VQ3/UU7UjWZfKKjF2HAozrcH54Op3OB0EC8VjPuP4xyL+uUTalEND9ldWyoAEeZq I8V+e0bcd/KoWDwNWlPRBq58gpoRQ8SFw926zlCXf776z8l6uTkufTXU6xGYUqzfi2VQFFXm86p+ CVvciG7PGFVtuPOeBhmLuwYiBmNbTD5zkjtnkc/DBhB3GisgknPGBdf+3H40UOekWbbpclO7qZ6g ScWwz3VRMXpAdjOkAMB9zCocuPCG30iosfHTeAZGQU7l5HNpQBtQS556fc2HIflUtK3uxtaUPaww mGO8+b/PwIT5l7tSsBWdXuOC9c4G2kL6lMB8zIuCbReTYSRwIO5CU3CrB1gUCzO2inkToBD+Q7cd Zx2zS0NAF4+cq3PcIw2PsClO/d+MOPqCPRMK/PbC/spZTimIZ+H4Ny+AbEY9K3TFRBHZzSov+eYM /j+qLbhOx5Oahv1LYw7yNFrVDTH/5dzvW99sd4yB9LYyeW6UqSoO/P0tTUS2VwakVE6pER8pwtIC 1KbUg//uRYPk8ZcIQ0BWMUiO6C819hDabBQCs+u/oQCCUK4zaf/DkBR0AKfXT4rUibvITcflTItC UxfY8yd/FjMA2Wq5lYpMVP2RWOhLGxZdIlYeApis5RN0VPoux2kopPTHPDCYekxgNTypw2BRloq2 1opl2r0kOR1ZNN25BiUDDeiiOfU84+X7IyQAUm8tfFUTBdPzPMK5Fl7nbeAAEJDOLPfbygP8Y2zh V7ZGpXXx83DDbOgsr962a2lCuQu2KSNFYShNltOU0vSjMxv8KvNpsHtfheIuHXjNAWDKDqOibmmn LuIKOtgMH8mAGWVbJiVBLbV38qCy0tV8C0cqoDabY3xi0O0pMvs2Rd/KRj9IOzsZkAOyyYKCWfye 6NM95vbgDP+m3YOJfLIuK7Ty5j9B5nMD/QF/8wfNX1fFxsU3Ayk9YXKrdwJvhxWe75ydsc7ZAg/H Q1Tl35ZVZ23FN3xffon7LarPDqmdVs15hBET8eM8TH4ReVt6MmPL4hYIM3xlMKuq1Hwt1eqaUfol s57KDVXtVABRelvDhtUmyY0hhAdN7wtc1geq2lgBwWRiC6okaDOWiV6JxSixiYQnAgfXlM0Pg1SM 06NwYGbZx0ymXMrwjG1JOXIQELwdEfgoLf5XXI6RbL3Cjvi8HMUb9u6vL7IFy+O/KQ3grwl/wcRq wAXk2+51YJzi5Vd1zjbSF1af2oETcqKWL1WjxSuT2+Ket0BfeVgK6XMTf5qF/Myi0ftiKP01Q4zf sBmmNilXKbgB88C7lrlkUlkROq1wxiK6/kqFIdl1JdDmbMBm5WWa42hGk2ihRE60gUxPz+UsXJwS RTcxLLG57kM2jj+M7+whImicMxlXlunL0JdZDdcs4R5b+b7LB1nhoLFklLwgILOHk9RQt3bOvzip uGfeXJgXzRvSJxLCOTTxoarDU2yqwdadooJWFBlY6WLeQlLvWVSbdQySLv1BVn6DxY1Ckg5XI07r io9Kt1YLfWPt0fyOZy2ew7OSl5MtoVwcbGP4gco7um0/wRwh5k4wyfjR/xijmJSgASAu5Sbh8k93 moBiInArUJczARghmTLxuYqqJatp1CRO8SXVUhTwUSy++utsoDEQC1alhM09q/0sH0OSU/0xSLQP UzADyKgTdpoUYjzzsmvMmpQU2MXJdN5YDRk7UB/JXUpxaBerMrKgpKTEW8ggebt8kOCG44J49Of6 0NcUzF9Pcu68ovUlAitRQQOyF5QxdtQIA0Y+4Hc87n6v5LYhSEkKGiHHQGHF7WGG3bBs/lXLnv3m 9SLrFQk/FBuaIvWNmbAcqb/sJbhMF+I9zy/3zPu2Bid226fyc0p6W+JTGNrq+FWIev3lMX+Eq6wP LXPztFZ4SlJJYBUVgxnKslsbmBqWgbsdURK/gjHCfDTtGhFFtcrzippcLuL4tZrEegw/3Ekv9vKT N2oKu9wR2WsSfxUdGXOeFP4et81N0nDMfU7RaHRfU6mg/L3NbVKPXO90538etUIWXhz73y61uKXY KGhzxiexJmqTAArRbmq1AgrsuUeolyqzwWJaNa/BGFWNfycqwMDMM27eY3Q6soulA+HHAa0L1AKn Sv16V3d6qFTD4PVhvNcBKoYL6DzDHeidXsEfOqwdz3fA+x5C3EdCtBBckEYNIqZpSS+M1IQUj6Rb 2ZdJJSirkWkJ0VUw1qJ2lQAldW+nbt7FaFXM4RiQDIMDXXKPq+qEPduATjmcjLtqKgjuwS4A6PUf kBKCNYm1OJ4umDLbv8wgtPrl4Vb3DdabNs89vVZMKpf3KafzvOqa6Vf6xDO8i3ez5FIBNHn5ZfUj rRlDhyQjyxaIOQ1eUqFtiIVVVGaniHByE2HAFx/5cLwFwIkOGzqH/uEzougfHCKPnybx09ijH0sQ 2I+xhKYkJKHMfVVaAr03HUYVCzZziy+agTtj9RqJQZmv0tW821dDtRLtsllf/WZMsJB3VQBOj5Xt OzMyHjv0YunWpkiGLHmEa5S0SxYVtrvuoKZaCWuWXGWVKyzuvAuVLjTYps/GAroe9WR/0iAWo7MK w6zazckAAQQBfW8aoZcfIF32r9Su8d0d8BP123Z1JCQ4ByzIkTi2Ija8qs38f0evkxshKcUsicEG RRWa9qwHh5YckBGJOgR6QjS2/pYYOFmZRgoWqwty6NCvCzMeWfmEUiwHnYRgJQe/M0VVMw4SayaU 7yRl29nUTLSRcZIUb8dWGji3drAJ8Tt5i8WiXbIod/YjexYjhkzH4PsixKRsc4zq9DYgMEvNEbNi gf47VcVo7ezJ4twwACAsvPOJZYRF00r55aARV3CbkiciJDTWecFZVNLrgwGpzLHmLI4OaiOQk1rH aEMgUYydMVleqRxS1XdkuAoM16ivmjJWZW5EAeqmU3OHeNsUvQoH5sJYZJrqBSL21WJNMgQ1ALj4 mEEn95kPScB0EIPj8dXSYNRUJMS2TRwUBunbnRHTsPuB+Is5qZ8d1iB9b1JeyllQ9dvnOpCU8W6K ES0YLjtD9RZ4ki5OrnSurHWfwnWv/EErXh914j9/d+MHg21SzSc94obkC2U46SCQPL4lsu9ye5fY cGW6+caMiKyy9jN5BwGi6fiUplf0SgWNLhaLfwyNiepJ+jAactCjcX3B3QAMtY18Y+D352HZ8P8I EimkibqgYgvA/Vhl0MU//p/pRw6sMZebjljzX1qSnNf8QqQN2S5FZSQGEOCMXL7C8GL1lP/WGZ/+ XbvTL4QdbCojIOjs5ukrjfXAc+QG95M9hcD7mSUVrqzqtiUlpvPp/7KFrURcBBSYWgjJdIn6X9ML Wm2h+rV40fMW8dkTl01WdmpRck5JhKJrpW+guwad6mCPWVvDHtT6WIDAv+wJ8rOhhys3gy4qeAYV I82wIK/lom5sEo6YGeopxWymFNL3kf6v67k9HpDrAAj8R/l90lrctTHSnDOieMNHfpZM8JXTeX7T rLhk0DNAzr6DsZKvtfmGgB0WN+iw8gckDBypopcsenklM5IIExNjFGKRN0v6Wq2CdlHPdS1n66IZ 598umi2to7NkSpmXeCpDdkwJ/Wd1bjsHj6yyn5eWqExVCc7wXHq6tq6siWlPb693njX/m2b/pmep oGH1B37Ytz0ndGNJPd8UtZtvEm8rCc50H7lYFH8hAvvSqAM7Oskmp6+Loq8ZYpuJfBAvQpPBS73V 4iThWEHSFsP0780K7ecbp2fI7taWgIRs35wdhYVBisbcX+Bpuj/bzBqINucVPzxZ8imMpA4DImxP V4tgs0jFRhFCOMLB3mAJzx1+kiQPMuMQY5ovNmh7tRU3YR4rTV5mZbw8andI38PHyAxJUTfCAiVk ufLCt/KeS0LLS7qrD1wdH8uZl9ZnslX9wwu3BFzs9P8bmoss/LYNPXHtG9uanPKvTGCvm6JzwFaw rKAvUxPhLjUY1ZA3WSfxOI10vt2IH6HuAlqSeBrwgZL311KWDoI06Rk75Yckf5KYJmvS8uEJIjSt Zs496lq80yNgroHEvoO1jth3rfxv7BII4GUpnL8LlQMJ6Qq2olftFJXkayRlGgXoDsLRbXkt0Uos Jd8SYWgSKdvrVGx/hvY5vJjjlKai/x0Z2XNcrcJq4oy8DUODPWVguDj/wsZ99z69c7BaJHjKp51u GugCkplqQrw1s/nhIusbIIxAbVtPgtKjAusU/4whCuLbU8QULQml957sG+uDuGl7pJLWI+o8+Hm7 NIe1yo7uSho2IGUSfZCelPPfYVtihjD5P9Otg67cMc4HDOrwvMpbpOJjfXuVoj9KQf5GbXEdDDD/ /7f8YiZ30QZy9Gv4ivNXIzI/7fVGn4njg1TFzTkRXnPJang2yCYEHksss8rLYgokSACgukYu9UAR WIfsw11554LLaUy7pg/2d/J4W4TiGM82/8YC73vpmZpLd9z70BOm5jIzPArnzzdSwwP2zjUokyTt /GX7WbH9E1TbfQOr9aSG4YlLt5ANNWkXgV/gbzbfYILmKyfwexnm2AKhdXz+77shJ8u1BoSSvKkI l9JxAxNAQUvpbVUIvvNaQaLmqzbv9yZjShqzH3ZeVfaWes/k4nVoKUAWLFksONRWq7XACpDC75Xh EZsvFxQAzt8GFXpFhhFc5yyQhfgyUkmd+FOwXmUPqEm55mRrsYue08jr+gddjJUolPbxc0O7V5Wo tM0ZAiPqRzBBIHH68z2FABZ8Ias6gVbDePBFQQ4ORQHsRJASuISGWSzCsbeXXaqjhIegBOmFL5i5 L18yAm6mMDFdKteYG4GL8LcQLSO+qbpCppfQNd3FNFDHD6yM0HEXp8e99dDZpt9vzmRMtmUScKiL pobDj8shtM/MBDCmxHgVI1ltdcVTRItUw9rkMBS2QQQ9AREAVbBaDgTfHno4yNjVz8MHvrEHH8N0 WOXT5DM6oAKBsGK784+wW3HDTvUdM8vHfPsQmof9Q2oLlWdfRKAIssDJegwOMG6Ix21phub305D2 amaEbVQ6MH7SirpMNtTB8XURsQG5DwJ9B4+mokhCE9bk434CzIOSIOz2d1MoPxszyXEeC0HhqP0F +nXUHalhIYsRYxA1UyrtGklS2GoBiSzHTS+KICFxlXZtsp7YOKUCkOe5AKASZWh8ei9wEg/ddxzw acPp+a4UXajoUAw/Vvu5UBDZYRGhBTfe2GRWPkWK3C/mZBFMk2FUsmem1BKLqXWj66opBEe8q7q+ yPf0lVWu3owXRV3oYN/eMsmqXjRRJBzl73r3UYCSAIzGbm0rTefsJlxLbRhLZevkqyKkwKavEwwR 0wHs+jrHQ9XyOn1wC3DXGdQbiDWrzAqMl4gAd7GzftVGf4h1GwKFN+AhQkJXXxdqPfbBU/+AmK+S IXwr+VIf4mQQO6Te/QU1EaTG11QcGk0+qDT4Aag6euA0i94bX9sETkEbTfgbCLL3fHnN7uPb4oYc moZKxt0IntB/hdZXHeJsJoQ6MJZ6AvS6orcXOg5ql9rqA4UUHX5rSruzeW7p6BVkDeg85yyKWa1O cUneNAMd8YBVo1wAmzr/wkIymxMyRWJDTMkbdEvUb3dPj1Y3DYYsdy0rB1sA44O3wQyYsG6PGAlk y0zKt3tdDIy/v8AgAVw0RWkYG0qdjuFuEnnqCAhDdmS/cyWw8wrbCXWq5WHnfDH7tj6ddo7072Ww 3MaMUFb0npV142n1yt7qRxluJ0s9R/0uMv0v06/L+U5YQ2mvBy7KQ7WOFtfE+eWdYDu77oPm7Ve0 P+rii95pOCA61Cga0ESRyUImRuga1h6Z83UnhmsLzezDDhTMnu0MM0XKlYuOJONGVmBuT1ZxW+El tP+IafiBYGzx2sHw0aj7UcWaMWDybd5WIbtIqcxaceX/YsEAq3DIR+P+XFhItm/XM1IxWlP2ONf5 uQjy/QP+SNLHTCtlN2mMbnNqqKDAlUNcZbFuMK71973pzRu6lJtn4ymIKk+YUjsZUNI3ZzLH+4r4 4VQAMQJzN+8gRpDHOgJvqSWSrlJkHAsAoEbfkjESbSYDTq5qiJeLnp30APvftctc5MXl91TglW2B 75IRgAl+fgAKVAFBZMcuRKB3/zsIBGlzPpGGUX/oPSuRX0V0NrT9UNU65vBvbn/N7m2YDgcgHkyq JBGdS0pdtaaUAb/l8M0ohPQMiPvKLBq+ZBO3W6XU9BBbhFH+pI9V/Sy13aKQ2MYFZLMKbvWw+P2m g9Zvta9nmOLENkdE4KGJT+vBE/9SJKHA068FffOPb6ddHYr1OBtDluO3+64egMRoB5+h7bn+kc2f JCqfy2uv0AS2Z3/cawNZc+HGUinY9v0xPb96+gKEpLfxlR0adyirK6qj0f5tyt1QwiTzJPEP1wLp FjvWxn2ppIBimfWrEuMAnTYNoQVN0RmivR5O573FXYY5nycYum9WPXJvhC1IwQX/9D5B+1oIh976 CKj+LsmMkCJSDDviYu7SSLe8N8NdyPKCTimAgZEGXKIh9ikgUbo+xH7ju19MezSlgmBR9iHmr7Vo 1t0o4MlOPLQSE99pkxWPcKE3dybl8m5e87Mnl1WO2tL2/M55tLt0ct/h1sPxsYQmCzOdyjTq2MxR 1lfc2qa2rdbI8D7ntegb7ZfXQyuu5wH6ZTOzJPWTZwrV+1IFVUbx8jiKm3pp6rQUk9zXC1dvUVmM ippYRgD77HDn23tqjQ8pW1EU5TPK/ju4KhIqf9cRg0+ONAIEXHPZBwyBHRoAIeuqWVAy1CDfg0tN 5hcxzW2AzL0/VzMQT5o8gY7Tw8SOGOXoJwBMnARY7PO6tiow6dOurZrkLqD0VGQDVtb/t6RENK2r 9hNBmysq6EySLoenlxie74ymF/h0XKOkRn/J8LN5MyggavM9MeNUtrZDihUnWOJGleKnaMIcLk4G ICwoyAo8U8XClSDIqlPLGXEgr6vy2gWkomS/Mc5j8SXeSR1CI45P1fVkUVGhUtVi3SUPoSx31afL 6a/Svas2mDZ+NI+XTxTdvtXVeST/MgIZEx2ae13ioqkiCNnexZUl9ba8vkTwg4E0r1ALPENHV68Y 15o46jzjvGSoFpan8CAdbHy7TzTvj8SxAsdBGtlnUphPPtCfJFdY305U0THyPZZ1DEORFw7zPAKo z/sv00nERH0X8adTwA3/JWfmDOIBSGc0vtsZrS7J6yeXSwBVjYZ+4YMpOQCajLhnCk0knvX1KFov 8EcP4tdYkfKg34TOQNraTP788v/Akk5h4ScftWgyrzYmfRYnrvRXA3jcS9Ydjjiu/U4RLPHMfzAY 629mi3s7uNOV3kobbEucjzpgiTG0/3GsU9yAhfcCY8QpWgso7WzHEacWHjBJMFQrQEQbK5ujx0GM waOqdlA3M+clxWiUQGbjfk0mgB40Gg0PSm0RqIoOGnqqlt3tHukkdg/L3TchNY0aNH51zEFhH/IS WkT0IIT/H8FKB0LSbRa5p3GjS+lXz+Z5Ie7b6/LgH1Qv+cjHzr5+30BpuJvshAlgUbxCTESM0r/G iPfYPMgGqfCFPKqWW7Bfw8nvrWQzAHk2C/hm3R3uk7BwnvlcCHTFgT++/8j1QimYCCtRDJH8F+9v twZWvVlojsSBgcXgXRucmnuAK0oZkVteM2uPkVeike/zvEgQpbbcTjSU0uu9IJ3k/MvonPAqbTsQ Gtllw1zPVoPdyvnt4Q1c4AtbjsBa+/uMLjor5qhIPi5LhL4JqZcFCqbpVkhjJsRSWmQZqs9BshR9 yGTYfpbC1unSyChJs1FK5wxWVRUAqIPlnjqvSAtIBKqhBbQl5LDS9kESSYv7m7hVlVbELbo1p1ip ezemXdWTkLR9P5c/5hiemaw5L6USffNgtuzwm4C3YSkXxm3C1dt17c4z1/87+NFIALeNzUADxW5U b8yL9zB5QmAhnqA4Nw8M+GCsxAl6Zr2Of9H9ru+PL9a9QE7AhOE+hk92QXz27exmDjMayPbAQP/7 LUIpf7k/dfFaXffAIwKTVXncqP4WWj93YY7tgzNA/fR9A+6XDzAJ6+qfvRYiV8o0nO7QyLc3zZCz JKj6Ym+8mG3xFn32wKvGQniWjybaruFW7TH8yPYCSRc/qfr9D8+twzOE83PYkZDUPUYaLrKjXEvf OzE8mID+H15cVQRbVDpZk1yLzk3w5fz8kEtz/zkc9JhpvNLrsr+AmWCJyktFAId8bu3M9FggDZS0 FYLZtweBdFn7izBvI7mdHfV6e/XmafyVBOSttWHUPF2o1Ob13qcd6ZCSdKNpkYSxLRWfhGFiGDlp 0SjCyxr/ELfmi3ql4rL10gzg0TxOOBq9TDWDOfYDUBxeN3giFJ9iYGShL7GTAIODP0AQEIskqTV2 NT6Jm8V/swFRhSOXX0jEaH1J3MuE31CpaTNeMcid8jlLPrdC2aEKGR+RgfeoSlBMeQplaCBlIkxa vw8+cyUODhO5frK/fDJd0SqNHtU+UTkt6gw5h+1kUDmz5ft+GArsg9A9/rgD6byplQ5cgtxz12JH lJNcghYoO3FwHIJShRCPZavHUZi14xIEH/VPAck8q7u1SbQhaNnkW1c8UdTHVQGhJcwgrUodjoDz E5u0brPFu+kVAyR2XQkfNV54qb6pNF5l/CeJ0G1wpVOtHg5RsTW+Gxv9HH9+42F7NhoKdFUMZNCA dA1bAblQHS0Xwiv42puN2gcMXnV5MhtWRhUgqcEAa/Lsd/sLaQEj2WVvZRiLVV3mK1Hkj/2SvQ6t xDCH6UbYatGrv5EsB2L7xzf5Mcc8Jz5JXrwWBiHcrt5nIYMS429cVJpfUTB7akhmYr40s8sHD5vf 9aRtaFHAPEl55TMgzc15AJFhoPjFRBHsJCjFcpmFv8KxKVEwRUVxqwOT4lbxpoHfAI5GkN20H1HW J23bOR00/8tSZjK/wpF5aPHciDcNemsIQrASZ22SyYaOO/28HKsQGpljbTP1dDgwmhRppgz3+H0o GQF2mJ2+cOGLS6mwppnPO8XRmlM57KUFWBY3uLiVhFFIr+5e5TnHGgnh3FknMjWFCJbAlqbZLgeS +tTPyZ6uOHHziEvgXC0FIspV6N4vWZTBjZEuuECXpN54LeX3orSiQJjb6RxirbhGnALRbytGM2iz yXedZqwZsMChVHDXpc/tpwIYuQa9LEZ3ItuCziFDgA3y24iIikR1GxeRtu/JyMEESOCQlBSihpin iABoc6VWlbmA7bls50At4avVBs06p80LnQY9Nke+ixRXNSvvClvjjckUc8eq/x7Y1xB4Z+0rFWXh Mu3gY9rp6hvOqc0N+g9p5AoYzHYXEvj95+VE3EB+WqrugoK6dO5oa3uSuvBV/pmrokq6c0PuBn++ /bJ1gL8yGuyEkbXEP03rry90ewSw0/Te5oceT32FBEstk/3Twz9wN+kJT1W+DeZtQGLLmlQKd89X jb7z0kt6zKCcfJrkQuxzOhvyfkA9uAOCZKpzqG3o6vTJpbME7GiUKZL5znJnacf/x2bFfG5gs3EA UCxWNO/aR0DUggq1wIb8qR10969brWmEhp1ySLCQFJSrQw3Ey8M8+xQ3qGs6/7GLDgsRVkqAGQ9j DtBqyfH3SriBSr8IT6UTz38lXv9yTnW7b5TfFHid+A0EBohmoWPpfijHBrzG2acEH9yjQiK0Aqdh g/8xijf0s2OcBt1XZWB71UfHuD675frzLN54LcyQatdDm3ybCcQY9wlNpLfiRG65Apk3c8ZwOS2T cSEITfKq+f9FnW9ne6V4MV28g4dZ6hXx9eF69AGCk0SZxuBly+ZTkH8IHuhKX0Yb9ysXeUBy2nBb iV0RevFOzfstuSyz/8B6PNUGXUrEahaDPC6NH0lletGunMSkZl0ghRE+b6pbekqS9MQkTKTGO4A9 uNOvBu6oMZDXLLpvqRS3ikQJYZ6CLSmZhC/Wuyq+zuGHj5klFIQaVO/nfh+ITuKjRgqM/PEmI3Kd +8obocfo3iG6PhBpykqLpkstSOS0jxW6wlCY6aWFViwlKisCp+dW8ZNaV0GYf9Br2MmZt/KXHayr A6T+hNSixK0yD2pUAV1FMDchh0Pzf1O2oOwrtdmix1AAGotGxGpxoqfvjpi4osTKKDrhaaQjBd7S iUfDiIPjIcanu1H4CGHkHPOkHGRRNm2WCwAswMFCdtgyAsHAwAr7Vw3X8VFs10XwPEdRCC2W4caS H/mr7ZZGm4XvCaSfuU1Kgi0K13PxkFtXsYYKMTxJIIrDj6DOxVwA85JOABjDEJw/S2Co6YWBDSLh Hoe0v9ijG2h1OGeq2RzrEF46SiNSAR8KXdJE5zAaSeqSocv6OGoAi+3RS4ODnj+OR+UMvFWBB93M OaxzVtyX+Z40bhdKYIzYQ+paMlfxmHxa68IWBDtH4O2WXqo6mQ781cYAdsB9h8nnZ6+w/aWna5ur W4tSXuiFW/0j7ROAxVYvqZb86pohi5ENMaZA1lY5F+WU4bYUihNpCUhVfnsjzbwmxGinrv4ieOFr FiYN8/H2RcDN8j59KUhrvn2iQhDrAKMCragzBU3hSD9lMnWfidUnJhz/O5LM/qhTNrbSxMtcVwmN gg0twBzSHzQwV4Blnz/1iH9pxG1DRjkhxm1pLPM6BhqOUlKcC+vathOJIGB0YDrdsHnLJx6twlv7 NIoyY04vZw00eMOgBiDBkKLwgn1gnJGCNXZ03wcwsEqO5Bpsc5vVhmudCC/9Ug6B61qHGz0F+1c7 zKuhijIGHym+Wm8c28/GjbCileGoQwacK282aEtFHov5qWWNISY5nsk+cWkucIHAiRT81WI0/uWK ZuoF3eFzSJcudZbkXvtIYNH3y6hayGRW+axLnz5eP1zyEvOMn6nkmVN6R6zepV7+UjyFrkjF2DLg zY3mE4z65mFBxEX7961mnWf32PhSnijTsMD4xFq50oUoNNzBuaylmt081igCuoQgzJn+8ovHYJxa cOpVVG/E8xsX4ksV/VU9mT72aOTCUziyhNCHuW1OctwDjReTbpnPlvQ3O79j/62WDRoLzbsouZlS v/X1/tSLyrEL/dkaDfFgYdnEDVyR6eORarenXt5lMbIcxN3Pfkcefh0vk0ZyPhOJIqLwUQDEFAnu a+XwEBvD9OMpQKM0vE0g7K2SWyJCgl/w/XXErfMMeZvrQThd5XI6lwdufVvzcwGnbCxrRFBi+2bc zpd5B0q/GCDsh/pLRV83PdM6NwAcav0GPrG5+52igyiWf8AkbJnlbDfu5IS6qR5M19oM0ka7sB6J DCSA6OA6HuGR2v6JTeR7L8a/kG26NhOzqy5yDObL3V4TxE9ahOtObn+aUz2nFkxOv9PGEanz3KsL 9VwtpUQ+88ZfgXZqTR0LQcT/rRYfTuOtC+ABoG3yffY18ZIUhd9le9UARE8AJkWvXkjqaFNO3stl yGkexeJHLVsWwgYnFIgvLLm3mVq9r9tKEmQbyghUI7P0LLDKR9zr5UNO3Hm6v5XVWD5RLdmAxPs/ x7GPTtxRlLKkWjWal2APPv31MYOjj5f2UuknHLSDapoaED2K69RXApT3dBW2r4JCr6nlrwS9wecA 4wUO3a+nSf01EvtgP/4p83l4TtMUwG9gwKWEtxUq84xhLuUYSCFzBYTQJit7IBgs2VuSb6Ix8ah1 Fe+0JuTlLMGh6nYBZRthM7CE1CTtssAAGHNX8IvT/U1XNX/CcQshosj8aXcz+CNkj7XcQ6xBEABO Bu79I/b/fC1U5Zfr6jvz/lSyN41LN0Ia0EzY7OYgNfH7Mp/BhFuYRdqhQHBn9tWgc4/2Co2Mp+b1 +wAoGyfka8MIBaIwJY+eW6bFF45hMgkeUqdpD12SnVyM4KXhISlTzhZYmg/ILVI01OaQfEPvnQrm dqGwtFCWhzAoBAxZZZdh2fMl/cRAEgk5jED2U4x+uMQaPYOKTxzF81kiSKmyzzgrmuZ6evCN3Dq4 KimZDZzNwuIqO5+pYzhk9pE2ilo+0FGMICMPmau0ZGhKZwmII/h3lKflxbnLDJO3l1v2ZIACVCI7 seNCyV2AvBNGoTCst95gXTxidcjoq8cnXbmxC45Dy4UYzYHNH6k+95Yr6Gg6rlTC+StZ0ohFP22D rOXe/zCUT5mui2ovAEl/z02WAPgGdGh41O08IX2JHqUgQSCSsb4zMGlqSQJLv0YtwzQX2mApU56j uy3R+Nu+0lV4Ywa2Lxka7r0yvAQzjLbtEGOdGzSNKQko6IVNa6Nffnpofde6EwFLpjL8bSsHaiRL hRH/8VMnM7wU0hMgDd5hhJSJZ4eO2KgyvQ+J0qgNl0JLPcjUzSuFS4Lz71njiIbyZVlAMr8Nffv7 Uug29xRfZSUlgMqiW1cyU0ue7WodppH8kk/AttZwhFNVzpJgFUmrZ27xQ0ycCO4zOZN/eRSU7T0S Gg5NcRUNReiZ8Ighic7Fjx2uG4Ub/RhIFh38LLu7ci1YJNfF6juPr7MzsgKCW/48Vm5tX/xcFL+p ggd3uuGBA42tjZu0IxSWg0os9uth6ycajALf3+uTmbuunDxznfNYia2cCT7/2BaYTlRX/jYRYmj6 f54xL+lsnLwB5DRwYv3VqfMXjIrzPqdctcmFcStiHLFu6iTeA2ZnOcSf0YPiHK4iUe9hkdPE7MYt FDDScY+zhnC/Iiz67Xiytl8J5xgJott+a8zz7qGskwUnejQbyCTBZBMXlEyqP/EEdz+CdV61GdAw HByZvRWkELKN14xaLebdXIOxiDIgs4v3LzKg5rjJk1pdG9+G4o/D8S/vCKFokhtXEQAj2fnZODC1 YZtitnCE+KTcz/4VXT2GNMO+D/9s0AKy3S/2yeN6QKHA/g6EzPyRLht+DFIZk24qY2zNertTdMwn S1o7Tuzs9LXzQSH3CRl/pSkXPRcPmDdICMOPBgevehrHCW0XjnRsfQqOIiqOJVLluC/RPNQZ9BXD 76cMHFB7PFPkEs6LAEGBmOlvEYhPcpTai5m3ftj1SR/vRX68BEK0PCk9GMYBBic7Z/nVl51EhVTr 2oLZ5RynH4yr6ussoc/UdTRkVO3RPTvA6Q4RE6xqYfWjk3wtrbzlqsMqQZ6a2wt7loBnnDghCNO9 f5UhgdmsgDrUaCIiKOcK8Qs46QxL4DdiprdzgT9mXF5sAF+673FjtcKI9KPZ6d8IJPXpBQYEehKu EPDEIFLF3/EEi5ojcPM4doZcc5FfkTVtur3gg6aMmtMRCPQAgq5sa2i8FC2oYrkddi1eWeFj9Mg6 saLTb73war9lmDBEBVWRpHJWRDO26d1LyD3BPhocwEd5XxL2XjP/fo7LAmqdxIaJb6rzD9klwLXT k9keKckvbkf7HJ7kYijn5XCydXErSDIUKx9IqXG/IDvyPhIa/vKWPO407eoLzs81E7IykqpOF8c5 L8TQuHJxwuSu1lS+yaEgxUxbXju1qBM3DgMfHEcc9btLQPVM3WYCoHvuf3xuq/Z/tIJmsryyc8lz KIjTOgqR/ZrsRZAmGEJmYrURFTvW+EZH4IgB30PwK6O+bjWyyHfeMVJmrPzsqiT3tIrpLaJ9znxb alAFYltyfpomIzgUckgbxFLejfJI8+u8MpmDEK4lRTwVzeIk8LzRcySmKWSoVjse5Bee0ccXO2hi xJmmkP7LscmoCa5V2pPo2SrRx2aY53cASbse50J2ojJfau/488qbPKFAReeC4cS+k+1o30lKYgTO D8zT7s3v44+OaYVm8yctIeelP+NjK4Pkw3Dt0EoEf8OaZ3b4wvemIjCNTpLaHThYLYnyDM03KwYI RBphBF5F9CuYxEqMHKuLEufDmr0y4LYKIkbr4QhhunoBm5nCc6Q6s6/R1IerUQEP5fRkdTT9TPT6 56aKrx/kDB3nRISAxmoBQxp4k17j6LasjyituDCpyryjIjTYHjR+MQQxqxTx1VwTvaK6FJ0rLH0o kcazNwhwvBXj9FP94374xeaQB6Bls23w4RFGfGA6qRS3f2MS+oUun/BcGcO2oV+gG8kncRcbBzkz JclaNgJp1l6BfDMzfOXDvJn2jKe8siyg59ZYGejfECdAglDfe0b42FQ1OeciHRIPNn2j4XlGDFe5 N/uRnAcVs+W3IncwMu1Soe9DtxcMA+1Rlhl8lgfj/XsqQheZtp2ucoaH49Y3ZFmQAfMNGJeRHRnz 9JGGygnuORxxA8WOHLqZWRG71JdDfU8Oa8tCah4o2ruqZow+vClW0cnwxd/Fmo2eZ4cuF41J/li0 keKJp2Vm/0fHk30mAHRzHaQNGnRQp19upGewUECK4hZomEb2WEZHOet8cKzcbk4SgktpDokzxNeW U0udXJ0X9fpFCEnhTGMZ9dDBmgD4Fewarrp5DX6tRRYuZEKsku2lUqujodlFjRRjbh/3SyCyEenL r73+3wMb2H4Ma/TmQa/HkNVk3ulh4TN3sdvCg8aPV/pWcEIuDHxcgE+x3pdJJbptNYIl0OgLAp3w 4rpCdaLVrtk/WP41p1TBh7U6c371AF8zA3mxW7zUi5FHuEqBYYzxZEElCuEGoPKviCAESq2gABvU 2BRiYh9fGh14B96hyu2KMufC2YYTr9in1yKxhtrSJoFYQLfAvck6WZnr6n4opDsV4tbjf6qjCnA3 w+P4YFFf4YN8Qr5qE1xZQxN+ol8D60diV7t6RllLH4Dz+hAWAHq2D9w87uOhLH0lYyrJ/3eXjnhV rUl5AjOn6jaX9cysmic5FqA7HMlC7NqdBTgDP+ouz6z3i2BI8Ug0bXK/octECfNXl4AVEQX+DN+K an+0R+Ldlnw9E9UpF+mu22vB9cG4PviJ/Rj5UY+kBZHqWQ/yCGuosGnZCP3hiQByMOq7mPBoBDBC WUVAK280qJdY6XfahM9B++EvHxZZIQU4gxyCGCZDFNTTOC7hH1WjXsq2438lRPaV0Nah3LdfyzJZ zTBq00//QjUmsyTNHlzATLrbOhFA+DhO9dzUvClxxkOvaRb/daomS4CsvOV5eLiqBY85DxIpKGPw MXgzIR8rS8Ee5qxFPdcmMhAcz5TQDxhKyFQcjZU3vr9otTzyVa8q4YIre7mW1YQ5Os/Otd+gle4H lZXdiX9wWYBXOtLL3xMk80/aOvL2kZau6/MrjXJz5uDhzClMkTwY7fEj8UPJE9M6wzIwu+BgUPzM gxqjoPi2CefIeAauZrty6HAzG4QMHF/Spkm0f5lWMCyw1H/6kXHwdJtcsUPI4MLdiJ5JM/EzJLy4 3zsmcl/3AquE1reHEa73o7uUmQYLcadh15Gtv908iAjH1oUxjt1Q2fLmsIP3phc7JeyPzUH87zM9 lymvYrlN4bBCn7O0uIv9O5d95uSPzwoKp83kh6WwruhAJ9R/WpVXX3t0hgM3cIWN+sybhxifPB50 qmUZ/RyvLW8nBVV5Ox6qyxBVVuk2kPUX/fJ7cJhLxxpGgWThXyq5lIDUq2MJKluRErUqfQ3bdMSs pCdOKDwek9WSd9vQOtyvv9NXp/4XpvFIODQzS4dRyswDJ7DxKqbFYZooeBEVxnAaa9X+KpMKWwuP 0TTCeJWoGesRWUyWbo9TeqLPq6SeEpyiCq75kk8zpyBIQlMG1oRm7rcyroyJ+uvuJfpOuwf0TjsK bbel3OmVF1IPfZ/zOyT32b64CCqp91FuftpTvy4MSZeLeSgfJhQsodnlmSvNgk4mtJf8v9yDQoSH hasBsJ1IdMhQix/OYvqV4RKgdNArB/aUPCG13Nzd0vPyAKvocg2IoaQsNFdFMNJ5h/YuL2afvqdr 3ZX2DO/Co/d3Ywd2bb7gQ026GjI2vpMcV15y+JB2himB1oWWCJ/PGnW/sHZIVN/JsJUxPqomHX2A lFkDL0w5GM06UfI4OPzwYIowpfeimlukAViXdApCIrdCenoUygFgTGt505VK2lPsvKHEqt+UZgD1 64fzXlgQTOdeOd28GacZDnOE1KTMD5gQk8SEFBF8dsZwckAlPapX9ngOofBLICwlbC5nc2srPLh8 2Z75RbsQwwjRwS1J50VumVE0HXeJbvH5SrPQzx0St8gH+s3rdNGtHX5Sz/IocKMC2HwIs5yJ9umq L4lY/yPhx8ythwN0vdKu1pyaxtnHFK7tWkHLooZ4TxZlle+haZgTkRqL95tgX8lbuWWbxdN37oiS ZvTpCAfOIxOHdFdTyDr9+PXe3Bn+aI+9Vac9+ecDIv7QQTCWL6zsXdDhV8QWpzB6eXe8nIjqwFEG 1Tc6japs0S+qif3mR3GkhsysqdxNjwY2eZchJo92R8EhvXpQrt+HobinVjEfu9oOVTqDj54hIIg6 /SWhyfq/AbtR8rDHRJiO7rQbqdWFXDIlqy5fnImRujXDjz5AxdMDtQm+ZHLrPmPf9ty3TtbgUx9l LlYKVRypoQzLl4ZFWhEvgSCg2GvV+l8PXdROXJxP1IMn16vr+G2db0okwuIn+EYEbGiaeawmW4mE vQ/DCKuCoh9UVGhiQ4qic1f5ICcaGoSMm8kExhGul8c+48L9uZq7ZZKiaI+55yOz1RkqPinzfkWw xiJNuyEMy3i8i8CanoAi7MPC2GdJwkGRbMZZwXI6S7m0DacC9Xy6PiZnPCw+FF8B6Vf2+SxYBVVY z8dr/nLrYUdDovtvEJ51nErA3clZ7W7EQbt7WcJnrk80Qj4urpJbZSYgjdwE0ycMgrorVfQVb7U7 wts/N243KU01xOaJgW1q5yiKnwZRa/NTVUvzz1HIrZ2v3D+uR7dlvXxU0C0EBbHiC2DXixJ4dcqq y5zkb1CMdgnZ01DliZ2SOa4k6rfzehnrBhOw+f0Z9K/GhUfe1d+zwg4wTVNTPYJlULqgR0n768so Wy5j5Q3Jr4YZrHoOCxxc6yh/JOZyOPUwBUyCaPF8XilQgaBopO3aJBwyrJL4BFolNZMVBDXcRs5T 3gWCDGh1lZLdrA14RGB0fy3Fzr1xELJG7IpaZCPJpuuxm66IJOSAQPGWo4Me7nzxN3kvIxP5sXHh LPUu1jXZxKnxy75djUXMt1BkaOEfW+z3+Oo3p0DOamcA643wY4YfrA01WKVUa62C/Izx+fJ9VRRV G8aNohPMbldZ7msyIFGPodrMGI386X20E7SDU/YYeulQm9TR90F8QyYzbYoW2kJeOEZ2VLUSOhH7 TjrhEQ5OS9+nSvEZxkKGh919R49my8XFsBms7w5ZbLl2Yt52YvS0vxspafF0FTtJb55p3dw+iTbr dJr5x1X8ngY3a42f2xx9gyWD6TdlrigvM/umYMVQN3c9abeIw1yXh85/Y981rtZmiEE67I6GxzK/ Wl/7Zybo28faRQXOQucAepA3FwjT6fBJ3E/u+gNSQ1Ab2JVS62L94i1uhhlHu8LiKb+wME7my/t/ Y8MPGuJG0o1gglplBjsjPZpbmBm3DkelLFMO2ZK8to+Zam9xv3g+OCdwcJx/WDJTVCSn7aBOFLkn xsIMDRMvuFgRrJQJUAKV8oIwCmLyVexFECPvMCqX2wS3UGodXtVwzhKZrS1n8EUzIh95a+wFndZi ORkXcwqFx4PcZKFhT0sOujZhYJOaJjWtteAcuC9UReH/jGI62SR/2GGArmovS9BGHXR4VoxZZwC4 nUPSWF5nvjaYUSKGMauYVlb53Mgfj/NsGeBh2ZxlSrBul7xCiMRG2S+xveBOPPtXHxZ1G9C3CrF9 HZq7zUjVLf3Zvk+jjX/F/Jm0lx8DUQV0BjlMVKiu8UbZHiyxd2/YsNsnVL3v85gBn+/tjqM4nGsJ UgPOxQANrNQNMw7kJvsNT9xNRUl29iRWbSSL8XThmzm1Zd2ot+Ss0YKO7TMZOJUnjOlodRpabT8U 9WJrPK7utMCiuq4QztziTAZkYYM8OdAyQis51D6WqM1IxK5NqycQUBXrAE9qx88a6wfnyYNTQr5V bAah1u+Uom2AJHCfGMGN5sQYExCJvfsYcOhpjO5i3TP+JMv+0pPezA6JSJeKEjqt+eSofScpSfpa VS3naccH9Ne/u0KexIxzcf8pcKJsUHhGVTQuMVJgjd6LdN47zWK58UsV8bp7ml+oqX58MGTCTzr7 B1voLZzgOgN9UbLfs5Bkpz8tA+8tf1joxP81z00t/ms/UmDOOyAbmxZVlW/KH/kZkNiZUeQYdtAF 58hL9/0J1RGfR9LWs/QLTUPLSMGoOoqfoqGtyJcCDiyEQ33wbPxo34oyBSBEisVgCS4ffwcGFjdO gi8fRHLDtqm5kmXJvtAJJ39y/CQUg1ba9kAKyqYaAjRku9WnpeFud6YdRbkZM/Z/oLF+0FkvGZnd rwTi33qZcTCbUmLc8mjZjHmp+TZbhihmnsbRMyHkZue+KLlGSRWohtjODIZKtakWHG+335QcB7PE ESQdvaIDaFbcvDwpjF+TBQpqe2iTOIBhGKL/mbIMNltTJ77lZdnzVTMGRyAvBynG4lyk+oU4ou0n O8VZ4emIIBj8vPGkAu7yj3tTChIfQj8+sJSMy0hdCnX3BrYQ6kFhWt5bBv7HGIHrJRN9AHaQLBS9 86Qyy8lQZpIEX8GX7GB7QKoBIoiL72Nd5laqQAYI8zEw3s+7ZEbONY7GqaivYbhuizmoEAKbI3u5 FIfv4crEOQbtCLY6UZdT05DrKjtBP/hfy6rTYX4K9Hww9JIsoET7FFBBwjaP0K3ZtrW2vnhxb4Ii Td0MuWkeZBGRpngeI1wHR4qGPQb2jsVD2n+8zlluGIxvwkJ1YNGIgz6BA8KA9axvh1bwXml4CHHD S20gdByggeXFCvgiA9sjsuTLDwWUWIFwFI97ny8eVrANUwcaE5mTkWYF7Lp9K6xdMdvnYSPU07sO Tpy9YXhfnf/RDgBwqNeRnxtUxjFumgj0q9KnOOPqhSrWdX67ly9CZ7uJ0aFadOgngwcWuxdbVUaF +V2giviYjgXAnYm1MhT9tng35o257D+HtjuIgdQEcyZVEtV4fiXyDqLhjBKKppjMap8frHOA/PsB PQxrm8kBuiSxod7ru/rmvjjGuKRxMi9/uIp9wGHwKX8TJ/tEnLl7Fdce84vmOakRGCAbvRMMg9iG vYBUhw0SWYJOTfHxyaQtI/y7pqDwgY9BUCOx31eClbhnyu7N+B92o9Wxmmx5+rB76kv8pxmBDHCy 3h0E8O4ICjFiADGg9Phyr6YyGDsVbl3eU1lHvY3796V+0SSO0PgYhKsp2gCrGjI58AJh8eqHxD+j d24fTCWmK1HoB+zapfRQwuKZvdypblut3dxHJWr9YNBBbs0V+SWO/bwO3EuIgbb/LzaKb7ea4fLf 1J1jw//1gIsoTOdzTKe5b6O61V5xx3hpSH5/pwNz2KvTfEryxFPL3IOPLu7SbBb+5JqvJ4CCEzkU SJVes8hYWZ9HaOYoTpTzu0TT0RGjG1wwMQOOx0nEZFn9QJcsEQtgNnHTDMc8/QGwwxGjL3Ig2XMg RjKPeJE+7vHOp+pHpkLYBEranFfstIaj5vAVC1CdMocPf/UFEw3y+Pkj/o8/zefmJD2jiUuLcvfq u5ZCYJco3iusNWsHfjkVVcY3Zo9zgkuzDMOESUMZ4J2hQzdhKGVh3TcuVvvHz+NxrjEumXvj24Ub saAxA5ZunxtVqw/FakJnz1C4gN3V8vYvJubhYEc5u2LvRisIpFcNewIa3C+GTZhr2izer6V+XAXW ZDkJmbUUz/ukp9Fhoth1Y4yaOq+Y3SvfG5nWdKqLcilaP8WsqC29BmfAu4D4VmpzFfoFax2Oxwci Cvjgt+U84fz6n6P4DrGaHuw6BCJYCHZhTsZUvcHRbhcjm3rIttsmQvbGXTJ/taDAJvz0V3US9ZlK D6/jmIq2hEsY3GDVuciGPovL6j2zr2Ack6Aoxbolca4t8l6Y+HAaHlSAotNyEAHvJCDaiqXKW1KM cKgNQjTfZjtSaL5B1HHCr+SP2fzvhqX9UdXwtB6EUnJd6MGtSAd+5sGeB9fehWHVOWXDoTEeD1O6 zBykWCsxZElVsoHyFQeOClZ98iToI3WF7aBBTnMXmFGglN/docdmsBSntpmmYLhiWukm4823Kqex 4ZPI33Ad4uhYi086qR5+nMcDhRQwxn1XinG/p2BXOzoPfFetqu3M+LXR1YGATKgleT9Nzz5LYQ0d DsKeS+4O839B1jWhy643acecUNZUxPBzvsPJeOc9Sw3n3mGhL0df8WAXmI2Cu5TdX+uTxylEHz9V eFujak4cAV1rafDVVceh++FTHNmOL5QSL/A5ip2g2tCeMy6ro2fO6lQNNdeLiXqij95SoJw07kga bXD3+/CKla3AGf7Td+V+HLmo5lW7NZq3eLCo1+cqbWCDXCJ2MxsE0kvDE/2cSq15v6s+2lf1w+gr lqJ3LSn2lpserYQGOJv+PPeZ5HiCNPiVuPD3Sav5av7TOZlYcs9/DgiszNZ7uOmf+CJqVh4JsZH6 yUqXpKIY+BddC3Tjbn8b40HX7MAC1uf0Lg+eb1SBgPSGFTgAKfKyACr9YBPb5b1zjxn2kjl7kGw1 iBZwGkZOY09fJ6YMnNffn8rZhBE2lAyF4MnSyV0gURh34a9+1U+x9yS4CTIQMCvTN0H7vHUNUWkN V9bEer2tOn23Ssvs6eLT/8J9BPrQmQ+JgLkQhNwJtX+VKbjTdQV9nOTJXirmFRPZQCwBTWTXoT3H glKhyeGHKDlUMX1ydz0WUs5xJxiooiEx3Qr+toEB5Su1K8DuR7IMVFCF9Jm0uHrv+P9/QUkd4jMQ jJKIZDpPVOm9Q4DhqLrwJlpKHo8N1LkKST+uKAFUZvtfb075uzFL+TITfPKADgl/8kZtGml3ijLM eq1XqmDP2axljf55MjzcF+GVl0Yfy/LySZSmkkSvGt+tWhAEFEY0KooVzdtz8Z/oJQwAaYyMQYma /sAIIkodH22Dr0CkJ4EM2uBE21hHTt27kwgqL0zc5tLs9CBaL4oS3rrwDXuG+5rPgAoeHkqOOLA9 PYVwpw7Ckt1TEcEVlr4ihUj9QH7xvcKvJQDvORkawSZxuW/2Hsjj0hTPEG52eKtQMQLMF5XGz1YF yssh5Br2Rypjt3/1n872GztT0a+QA9TdiBRNR59SM4X+m0TcJI8EDT1Bif8bJ/X3vM0IaGPj4XTo JuOqC1jBtEQyFMyxA9nJZdJIq8IbLDprYYUFanLye/K5ZtN3OnLDUGEQeVaBlw277zcTJ2IJYpwi fHPcPu86pucQfqfyo6/wUZlJVW7Oe4T7gam61iXpegqQcG884E7pWjnlLr6aVP7aXnorhV3XJi1O U6E87d2k22iK3+K4KRoyRLkbxmEy9xMgC8wyq4TXFymF7MGQWKJje3Cc32KuOJI9UXclrO7ngS6n DFbE0bkfi9lVUPBqfGP2qZvgerp7qOQ48KmFAhebPcMTaGOnDUwKz7cuE7mXtabvKXZehYtTAO3v cAHBmr8ojY+GYS0iu+3Shp5L0rFwr1VQD+SR+FTavjOiIj1epIEb8NQ6/c0xg8pzgs5cI32dBdHQ bFcdjSW6yrPsnLhIdGJGAVsyEfFfUFDlbjnZzvawykPcjwKq4cnh6LG55v+qpAITgXDtwE8V5tOH leoe3FUwfFZfehy0ix5t5252OEjyRMISV4zVOoqO50TuM6SeQtYJK0ywy6tOTCHambyswHCLXZIq GunfhvANQzsOOq9EN0wNPSHthMjNY80OisFrSmp7YzUt+9oZN2tErH3rd08ediD1OYtKRFypBV2J vDzTBwCdeZMUMywWM0lbMePzjzRXTWJKXgEtra7nqHeRu2fPi51BsWlbm3BOMidSPxNREjNld649 P3bBRTMagKX2wDDxD2tDzoEbcZuis5FfBnr4zuFCFoEHhz0al67GutaCY+TQ28y+tathqK1VlQzF Id1fazoF+81Zvr4y11dJlVAjJH4ipuI7aAib74TXiyE2MESqG2Rz6txcb3aGkuH5Dz/+JoxfOxnk jZinFhdz3jH08IlGa7geyX5YniG4gZ5TQfz2OIlynS6hJPvDBDFeDotbA3xmH69WTmN8Z73uQLdK zmuo9cK2XCVEy5ha5lIfJ248dB6R3JGEdifbKVMWs6N9iilKV6jqzS8GXvJU4h3NxdepA3ifo9Ji RlxA2qwr5IviOxIMUQQyOVG09zc/l0moFUALu5UKwx2P7kIJi/mVzMEQOTlk2NosTzwjlFZQsuuP obeY4EpqAjFlx1i2pl0YE5borF4T/V0dsh9i+xkyYUJINhguyDJbV7Ye2EmaY9jOsBJ2OumhoYWZ BmYMd3ZuoDOtT8q5jW1Nf93k07DTNQl2NyAs+xFFQq85n4c0RseN8m+X5YsxNYOdoIeIPKX0vo37 pY2pl4nHGo0fLvoDWo9Eju/sw2smBgUEtrhOiKF8lMpXEyfKk+v559CrJ7D4OF5lsBV+D4SqUnoI dpPFYMORO9hqO6tqf0awJrMsRbYFph8Gec8kmJ/LE5sxKhFV/TiToIHv+ACpAJVLxF10QUaadPwP mI2681JmyEv+71hD7ay1dNueowKYyWSCsdiWviNXbxFVwPP5TsPlT4tSwxjKFEkJB8X/zVb+lWjS 3+7N/WGmjNn/pl0ut/NMY1sxxQdmIu5t1CqrJCRtQuSIXsCTQdafkiHppy++u6HZWUyvdpFFn6kB LctILQeAqwBWfgFXoQnAe/u8GbscoaNiFgT/jHzWgihMOTJkiPD+jSYG00o4Q9QDpDkFClrznWjp DIKeq5Kw1aCt4xnQLcQrJcFU2n3s0sZM6bHAGXIXL3nK2b4yo4ptwNhx3LWBYdb+EGJi+60BJdws B4WZmIq4gW2o8QuGPmtOJfFb3eOQsg3prkgxhJ0CSW0YTn9oXqtkSa57tXTo1lKRZBzhHlVixUon kYlWlgBdSdH0SXnSFViej8cM2mUTb6I030NXQv9u0fFZJxl7WcpJabE/K2qbTwW/+AAcWDCf1dvs 0biqAB9uKTYfEtzA90A5qx+ht+wP7AX3YfvgBa42D3Vw9iR63gYCGpsnvK1j14FP2sPhoFFTLlKY rIJ1Myg1AUz90w0hI6V2I+liysWHgkrAXtbR4zZ9RDrEbNoW5Nbe4bHSlY2AeFg4rd4RB/of8eJC kHD40fxhXd76K9juZ2PToG2QQedzNOxxpWEDUtj2pOIAS2nzcngzJUixyTRygc6jEd5Q4xDwEF2b iMkR7WruvYs3qYa95zX7x08Ny+7tgfIsafKktOHohvOrX4AZJnxFTRKgo66E6pE8ieXu2ALUOmGB Py0Uh+7djeqRfDeDSBrp0F2Ip/cwP4z+BXYYuxxX3ViXJZyEdCOfiJfvHQ7nugefNEmu0KFn5nDR QSvPS3vsa4Z7O0dZeJG67UJt3+cJpO/73zN23KFK6FgH87MBtzrXdXUvCFnH2AS0ZQB2NvznHQ+k bDoG3Krl7ONWJDp68XmCd67zZxdbjJR/f2VafXWJkPIkt/UIIgvSjcGIvHCbLqg5d339MXrsV8L+ IZtOnqVIfflY+4L2RjdiXfuituhBQIUDDiKQZa/aExonn3Zb9l5LByCKAz0MX/MdBh0mrpph0/Qt QlH+0hTDfS45vPF4Kx1vv73aoGTpsXISjKYtJLLqvC/KV69UIXyhdVVtZiIf2MjgA86mt5ftoqqG cUIGQzLPMxfJXqLZGrWWYfwFCp+1uS/qbksnnzNOnFPST9E1WFkW7AX9bQQnJH94JOXUWtZFMOxh 5fKnc+WkF1rkGmNKBU3ZNb+GMwl1GkWrAe3CD5mSHuwAVdLh4sTg/Eel6fG8tuWk026ySEC7OjRm TV0ZI2geeBklTN1N1ismpFS77/9V97g0P8jqjLCfX8Mp4EzdEJFG2CND6GPP1ADCcNI1dvwRLRVT jamflNPvAYD8BkitlCQQ4gdiF7bQLjecS/WZ7+65geM8++rrPKX9o+nLGjraPMBZ4TcbOiRJLMEZ fBfHjM0fy0jIHte6Qn12R5Py/NLo9DPNf6zgH75icWiEa/SeHeSZO/7ZedC2zg9WrohvLPrFfM2c BW9sgJPLBx8SL/fEzL3j1bKYIDxrisPyFZy/7yU3JXQAa5j80dKb3qLaiXZLEeTyp85X7FqLArN+ 6LDUCyOhNLmg55fNRtYM6/gGQSCmqHPrZxJV/K8lCpz2I4gTF29Q52ZHedq/qXxmQ8kGeAFnqprH /SXc/jn/KcGU84KQrHGsuvOFEwi4bfYtanhxzRVq0IAAQznQ2BEjLQbBv14ctItzs6dwUZaeuugd j8sVgsEQPPV3rTR/pjUIpc1U7czhT68F85bxGc3Db2q2+d9g3XGULuSEaGQTVPIXA5GjFcCuPL4T j+/aLtd34Z5bkXr+yXG+LHQepHqxk8T0rei/6SZelIVVbulbAMZb2qiBJYu4cmwKstb/kATRV3qT dqECizAQB9jQdx0sE+LvFNWb27LF/m5FwKTZrkRowf3Ag25ncKCtnjaequigRDQ44Ik02cIgU3Co lWpJWDUDh+wwkWQCDSZxAnD+4WDxCBIO8q5lybN4IAF4pt+FCUzKWj+eBGVoh0FdxH94uiXiG3dm T1FfgQ8R1ME1Lfx7gdfA0w8HmmB6qTkjxaH+fNyhd2knVzkKGYqqbtIiQPx0gN8qzIBCbHdfpTR3 BvrPX+SgaoEBT5dlQ0Jcw0lhmlbaXqW0TIf4l7qxbQNt0AFnfzCDGyrRdG3fdi9EWbpN/eqFJVwd LeGQ6AlBYb8qOPsyKljZ0GTAuLcFCnu/phH8nBpopshsb6tdeBgKZdV8oVj5FzG1l74GFY4QdqKK PlzEsKdYTLu5Vt1cR2xWegOvevF0Q1bv91czJC1vUN+/B97BTvd4Sg8/nX/YGFgJjKdtkLFepzwW 5RxpdkGKcBboOHHRZ8vlrCAWg8KOJ8Ulet7r+iLgrdRADErJI/P9zHclNrhUskH0cRcShPc//k95 3FAXi4pJAUxP8NZAWp1c1pzqeCt1uxssi6DMrv8VzZk8C7UEPQicvAcrMvjTzhtg0cb2UttcpZCF 1pd01msRJApAdlj/AjcuHlJVbZ+A0zywUV62eG0BWQu8CKL1iXYLepi+5+MIe6WKij6cIaIiHu89 y/AwdOjQvplhiQwVWkn9WveCnTyAKAe86Ai7SYepekyo+u/Q2OVP1I9MFglPtTXjVMnamkWdPlAp WYgO3FGBb0JWSE/Hua/dkhFHGvCsLnurI8p2Y0EZ3pg4jWjvKWtw0qm6kt7Xptn8kNdQx22y0Rz5 /KrjXV4U3oEWgbFwKSM+rcRMPpH8YH6DJrxMh1ERusUv9RJyhX4zLuf+KsEoSzstZ1G2w8l7X/2d E5qib/l8tOMIc7ePzAIW3da0E5aKA5TtKotxzSZar5+lTpwkxz2P9MwGeYw5WHKX6hRaiDmhtdTv ans35+McHbMcRJvc8lKMNDtM6YkzEgIMdFI4BYv20fUGlTDPx7xGN5cZNUA3G2a17lgCAZ0hkFie zIUZN2yu0XIrM1tT/a5h7KlssJb6xaY+Rf0/ybTCJM1afmoJvPevkwqG3L3ieAN5soa7IIVFixZ5 j9T3bQN72DbO3MqynwgVx4iassoPgw5+yTPByLcDCOxG847u9rhzeiKoRyhnWEdsz0FIXhkSyVKJ U/wuLHICu8JcNYdmUeS8BcHnu0Izjf/vkvWo+Zs7UEgrTp/pTMv+mzwHACmcIUAYf6A8jZc12/R7 VApQsUv/xRkZluxBpWoOdW5S9AbpCeCbjXREplz9PuGW+VTds9QvcV78L7yBJlLz1maz7qbFYcRz FahgX7D8NsYXGvexLRVzYkQIWnRzN7sQ6eCsZgul0iJ4ahssbKAA2Ua4FUkXQWfVjxRICMIS46uC t+2YLdWm/r2yPrFGuDo8a9mgm4OObCL5zBPSVzhH9THmLgmiF9dF2yGBj0WoHnxcOPKiOR8AxxyO 9GUsrsOrenB4//rOIPf2me7PBu24qj9Ve3u7DtcUpsYau81cscJZLDH/zD+M7vikqKO/SBdxqLmG kcU/x4lwyHsgtPftdKetzScWQvG+sxQNoJzV9s0LZQvH2omuuwx7frPabiiolrFgSpS41zF682TP rgWZ+VxsdJ60UtzywemJ2OVyu8m2MkirUsGLR4rlmIhQdRmJoc7zWpYE9C66hU0tHWcKj4YCR03r xT2aF7NMV6jhGI7mCM4JYf1PND6jSJWOtn+JV0UhknJAKFwCxEktIMixlNtpAqh6gUkHtsgR9E22 EpDKXRXoDbCy5eeL0PadxPYefkBiIuR5CLAmZiiyIgREsebct/oxOnhLQy37WVGnF41Jmxr+vQq0 nB5arFkRrpuYssy+fM5ccRE8rvnNNOb076zrXMTxdZPS/lYdzp77DbQKUfmee3VGMh3dlSY4Jybh s6MIgtIj9ufzzNLOfoPsDCwRVVy9BOa3IHaA0q6b86WmvMTtTbVG7IcOT+tjX8EIPe5AgfAIG6cc MAUNI7+NekaAm2mtOQDSezr9puMjFegbJudYj0BM7/yug0JmFYgndsaOtfPRdgy5SeIx+hZEbxmh O0NPet98cggtqZkFAN6xMium/JYjLQGJiHKWaj5Hm1+5HuEF2qGs+1W5ITAT8M5dNQawpzOXBibS JI5/ECFefoGammLJQVkzlHD/FW/T5RhB7cahlU5YvfbN8AGZNvxecrMNV0kO2GXZ49yc4/X3MCU9 wly+rbGCBWEsi0qtx6Lz/WPl2FjEhjGsIIss7OlInnpo4QmGeLDP+fQwCzJEpKb1LWAK+Zbk8BXP +ZXGFQOm/AxdXxDqJ1vs36rEaFL74eZqAw+O0+NV0WxvPKpQT0umv8mSdMZTD195U3IgC8XVp5LA VdYMcNfW5wY/xhLmkZK5RxzDHm9yu0dE9t3BLcvuP144n92nspaiQGL7IH0U0EhjLhEPWL/2zphf D+/qXwbHZS9yrgN1s7Ub/7/xnxYMGDXuRgUrXfnLHvNov4D9wMghgq7eVBxRbElT6/BMfdKeEEgt u4Nh2itnVUBEtnkAcCHwEn75BxeUoXjy63uMgkKwaR2CvQlmgXoHeh2KGm7t5KSh1IG19Qthn3qP tDlX4tha1LzrRMOAaOqQ0dob8yxNWNd00rN8Y60aPUfou+RLAi8qenEgm1tWvBY2c1xAMdYdaiPM KF1G0a5QnH0JRukhS6modlw+1CaA0jijwXmqFJaro8FMgk0qaC5WGNl2vNePWFEmpQNOvInJziGA dPO4U/Zoq5j2zmR3M/5KrvmTEFFZzBn3V9zzS2rO31pBhidlZCVXPw+noKmtCotNBnAmO+Jcrb7Y /tAoqf9b2/4GqLdqPhiWgZ8VhG37i4DY3QsZBqQnKVLxWkQlCQebBl77WF3pGHOI8hV+QoF2sGQS 3+UlGtc/IincOHYMowsYCrcnIlH1O8tjQZKeY8BVY34f4jfIPXKtOa8iRcZtVqaRR87aE7qf2fvn zzk0CL09ySfCdK94sopzc/CIqABOx8uiD1AB0FU0VJmPwoi9VPGrKvpRXpfgduOe2ZrrhZvuDMoC I35AnhDXZquVsq5A2FMH1TGGfAN7K8BzSiXjchXbe+Y63LI2LzBh6oQTQG2qQfpLw1Wf50A4q/lp 5PvsJkZsuTNm9EtldVnF82FIlPH4zOo9MJibsPOD8ZiMJgz160LBTTlyi7jetzXIN8EdrH9Twftw BiDZVGulx62sa9j/dwGuI6XuDdk+VUiSegipDRs43ySKnXKc/Fnxu50VSmBz78NDBDg+qIGhJGtJ esgwFK2kZ6puBoJ0xbCYOX5NaJdMN0vOOIYm2LbIZ87EMyvSvfZRsguwlYoHEO3sGl+99aE5eUXN vbYw+LKBWczMLhZyXuDwQnUmSVP9ALDCnyweyCnTXKNRy2r11L6wTriKaYrjbyO8skIvxz9q21LL Pl8AtIJnM8ywEbpewpV75bShg/dJdE1DHHP9mSuwfhuSGsunRCeJvnCol2zd4JlmqbPuVzQOXObA cUgqJcVwVRXSxdn8fac31i5Jvo5MQn8ed1v7NvfcxOa6yyHOmubkRDj64PH/GQwPqh28lCGn93Se MYJoD2v2SNFauva65ZKbQEzBsIksbzHyje/kuDZWjw6Ai3zMhe1rD+7IC+e2wMCvzp80gehb7nih esOsP6ngPgyVM4rJTDMY98kkUK+Xizq1rZM9HGxawMEL/C/MCS8jG5iBdYcG8fTA4SkbPI7VVtiJ EnsgXGSiHuBESMKOBfDXD46v+XWNZLndwUtiCqJP9nequDggLPecsbNXpvt0UvQ2z52+e3tglSRm 7GnCOIpkHhjKnafX+TTYJGUMZju1SXVJ+6d36k6RAHFDYgYyZJUpneusTztSBlm8m1u/MhIWz0rg 2mqWuBTm6w6Z7AgmMqi6rP1+YQRBdBYfXay7JXhJcuiEl9hZfPQyx7LDv5DttyeoovyURkn0FuPY hxe50s3C88hqgsc3Nzqrznwea9wDAy9SDx4CeDzvKMMjZRNzi6JqD/0SKR8W33eMp4kC7TM77NuP erQKEXCOrKrSyKk1azp+plytqKJI4DLKNUFxf6V+HrbHD8V1P+bkRtuBmeqNh2e3/7sFyun0Nv4/ TxsRYSDVtVHa5A/Hqt7KP665MS0EdHVlodwwTxaY9VW6SYRp6YGH1sMoiT3tXB72zw+Za0UnogCs ZbSr+9oOR6mKqqHXvx0h64ouYsOBsKV2mrwuun1+g/WDrESPy305Wwo71pCWTt1DfQ9m+/xoqqh6 yl5wY3CI0px6EnDpd4WhJSrUmFWCtJjIuZJ1+l2hmHIO1mIWy+PRgxa5mWcgKPr8WS6WgqcatRyi tw6HB39QD7Fuws6tY3Kl1ksUMs2gpxuDexXCoyVlZgEsxaDLQFsd7w3UvYfb+nghkK2pgM1Twhte 5UeeDNXdZ2tntkfRBnHlo1MbFDntdSvgtm/LiQUNrmJ8vGOHnoTn5bQxgQPZ9xsYzF9HFl5+35nk SuOIoGo9ullwdJNvb39jjIiLgpZPZ22zNn64RKtm3OpK5RVMTe/1IxspSGSZ+e0P6REsyORVmUZH snbnaMC2s2bZ3KtFpSrf+/uOsAsz1QbuO/ZvRKZo5TCGApqZi/yVTYm9Pf0783gDp018U35o9e/3 wMFCF9WuXtRXpxiMQQS3+KRpTh01lpJ3INr/y3HfwDr5MeGVXtCILhIAZ1YhufWIC8LAoZvoV+5n Tp8tlbvYp57yvs2PiCRsnqiDdr03VxZE62WNI7JgscoluauIuAKPtjicdLPzzXPhlOZdGqpgTd9C Hf38HEVEfbjfSz6sc3WM3cfHk786J7SAFAruGhdMFtTPUxIF6onGbGiMjJ+a6nhPZ2BpJ/qv5loH FE3J6ir9cRTpEE825qjA8eo1CxytkOMC7nUhF7EOGVQ+AL1pVxUcgSldGneuZFhJsUsP2YuS4LFO sCH5fEI556gCK1ANUI8y0tjPbQQCeUtL8eGZAiJ6OtutPmrZfDgRRvZuKntSk3Zu9T587vXyC+z4 LDU/OHpIVTldYQMcEqpOA0igNFCn1o2U/JIAvMFl6Y+PZqqqSarA++M0WsAn9k+O6FfLxMvVSxSM z6KervJrsDDCajahtFGhUr7HadxOq2FWk4Bf4+CSadYCHSVSw0fuuY13FkMeQRju8as6qt8GOlPq 9Zhz8164Asd2xeUeT2Vpuo2FC/wvaM8UHtkciSGDuE/qALByU/C0rD9GZX64bUWj1gu0RN3+C9wG QPLLXHE0iPUBaT3IEtBEP0EEsI4xu0g4thESH3xDpCz/5mBW71KBaTEhbbc/AakH+px2qy07uDY2 OozNd9QAigJ4p/rKLrmrD3VHaBnp++DsOv3sOi8LW36KefVBwzVA1q6qd3FC60wZmpw39of6Gm+x R2u6c682qP0gjIwSvuZOPbbUTLSMTMfBnFaTOeAdaeFA3O31BM41M3MYuMsaAHrHx4e00c8daECw BRL+ruVz9W2zX6AtHsfZtnak0SG5HZdPQy2fsbC4XuoBmkE7sgVKDGDQtCCn0w6XnxbVlubU9svY c3/ikOnboU7Bf9o6VqmKyxRIolWicrV8965DUgGJqpEO7nfew5MOL0f/gJqu1Q5Oj7WWW+uRdCZW /WiUURrDNGs57NJ936g15jcb13f5fSBPimxdVcfxASt5Dm5xwZ7mIIlOtiJVeZSs7mBME5vOIbSe HKp5Xt+JTkp1HZx6xSnrOXINumWukGYb4x6IYfySNWZvRVLdN3ceGL6E8WcviYMOz6dSLpY8ZqEK zRxW8EuLmdKYr6nnbT5FtpxqcIbz52ATre8xrKBTU4NT+HElit86HVeBM6Rwzd7hUq77zyR+HUo/ S51svYazLVU3l2yotpp2pTX31c9QgaP/wacXi51+KL77cZtZh4eRWAQeTzQBWSDKzvKFJec1mVs4 k9tJGDeeD/OVNFoqMT1lAi7T4zZ6ZspZk9P1AgyqhawUu22zCfJZzXLwD7GoVjbcFNLChMtRRfja KQK7cbxJQgiKpgNyOKyZO06SmglqqXpXFFiKvBBi7fN/2gF3Oc9MUW0usj/mxEqB4zuDAH3uJfdw Jeso/FWIcTUwzPuqynX9FNkq1uUGuewcfI1QKjvfcCWOCoqdhH/AP3n3mg+9FGVT68dMulMhcksh ISarDVsuwvtyWB0xL4eC9zb6PgrsWLihQB26Ng5BnflsHjKy9uVA8YxmRal7NtoMuURo4o71WY87 9qoSBWtFPaUtBAMeFqZliZ5BVzdx43sdzOqUg/ScTM7iAVX8LDAvyd/3qGPjggvXd2wD+Uo1PD4p Ek0mejYnUDJZS6mVclsAGfKCEAMGf+z8KA9+dQ0H5nvxKu6UOF7WS0b00ICqct+Py9ssop/q869c AKn9cwe0BLPfzW1dLzO4E9CzN+wbWHYe5d9QxVndNQElKUjGLdrbvZeZYA+P9iajaei4+XtoXXE5 uJ13m1bjsI7MmRNIqFRYPmv84cSoLIiHBPVYwRKKUQWAwv6rDO7drbYHlgCwnfaM7U7NOKnR0pE6 3HsUadiXi8VBkDVWfitwpbAhcLZMCbHrr5aGDyEdAiGjrhFs0Stp1Vujs7S9RN8pQqDjfgsVeHAE cv65sBBtGG3hPNorXcZ4gGFYH/6/mmB0yIui2eQZtxLqcB31dS30r3qwOMKpjPpcWO6hX2GsQsqV 1/7T+7YhLS0kfr+I5wnbuaFXPCy5lAlgZFfCnBWFYKla5NrN4sQVz2GCo0/sZppjRNUS1osmf1eY c+tW+m+58WD+6sTn+aRYXlIoQfI9lWuSZrcLSUZXa4YuH1Q7QsJ6CvHbpm6c9XWDWRX9M2EZniyw 5oQ7UuBMt0qIyLr+gl/CREfd9Ln1s08eLRk96n0lSzSY6QKHl6KSTufIg4BxDmGDxJmGPXTvTnZT /FYVrmn8A9Sz2ARPi+R8pTwx8DkiFqbOBPTxiTyUck+JhgvQVNl+7yqtXTSd83JtmBqkRhAhfeU/ UiVLz2w15uUj7DhCcWPG6oapWZR0wVPQId44eSy0vRHTdHoUv0phpfr8n4YTZbR7rctyN/QaBAP1 4G2HmQBHqVrh3XVcbtrysA8JAq6nbP2DG4QnrdPV2dWU+rDJdOSocky37fgax0XwqlyCA3Bzx0Gn PccDMZq0+ye2hlA6vhkGIdyZk+ivGxrco5LoWh2AUDqUET59Bd5UGXLQerxiMUqkB2ekwIjPxMkN sMPt+pJ16rHlhzgLbdttJwf95uLSK+nobvIJdh2Pk4jqMuYMGvpjhnL+s+OES+gmKcJnRiC8RbB4 X9v7Gs7L4x4CXXg50jn9VVxiR/+qUJv8aNiHGnofKUyZW/39Y2iFOEUMdZfr3oZO/6HZRwUcFzRQ StclklJ/UCl1zXvMLjS3aAW3SLyv3D56nsj91RzfLMvR5zJOxYICiiISZaRTMDHpEoqf4ViJ71DT MBFGVS65fwWOHHJt4BiT+Gy6ij59CAPCBNLoMnkcVPEEH9Vfh5eMKZ7/7dYaoN93lWKuVFrmcbMG GCBTJazrKar1TsL3Dk5PAEpVmTzZGNxgeHwmLB0JSrzIyMoObRHi7YwZBCtOKuRguAJzbSCku2N3 UAtvAgKdB4J/xlzAKws7jEtCaRIOKiBk6vEm9dp0J/ug0EtYxMRGNNVGS2cUn24NAlDplavloKlJ SG8whjoouxfm10ar7TVYgXiG1orCbNebrsejlNT7JF2IvyFWnjtBffZCRLLm5SVzGo09yiVe5ZJB Gh0SvX4QTH2IWFEX2HEN2Y+Mnzt7l9cFbpIL2dNXSO2pudvTOQS47z1FrJo9vsF/UKZVRrsgO7Vv D4/IrGHJROaf61bAA3458+KDpPfazDQxJ8DiXEinsIX5b6uUly9SglmfNCY/hUvqhQRDwZy8oLc6 WRNRpeI0Nhjxl0auwrcZ6qMVJ7zSGWdnx1HxiJntOktTlkK7pB5sCAJuWlTOfHOHi3PSmQ4e5TVw cC6LD8nzeJjrmzuOvsEE2BrDciEvuxqkdKpvDZEpTCs4PFzZvQPOd5lvet6f3g1CSr1s4v7vjJZR fJYltfGF2B9E3ZG4JUEZLZqSitSGDiXgHBDxd38U5TL6757l3NWqvuziwa01hvTRhs9owkOYqwmX tr4usRTIWdMwgLYZ+yUWFMyLuglE0az/qgkXlH7KDYztBfz1nFDbNprCb/5ge8xhaUAhhSHdFW3x Iyj9dLv4r9TpO04/gbdFYdRI5pTg4ANG9qYjS0Tyld62wtinaz2YylLG7r1LL6HqYsr40xgFO5oG EdOCa9vQLdVGD6tVcGTYPvJ390oirqD7NDKDeoCCBy4N3e1i8iv7fYxmY954g0R4Ns3dtwvrRGCU v76ApxlMq2L0fi4LZFB/GCD/bi2Ss5TKrj/j5Au6sUxjDl/LZ+AU2jW2C8Q6wj7cFhF1G6tK5/PO yyXwr39jOA7/efyjqu4cLxZZYLUeCNiluMvsVvhaaaHyvU/dY/2GiWmzWe0Yk99iW3kMiLYB1PhX eRNIHo7BVp88z2Ynr01tGl/BGfNiRdxyWOptc8LuDdL1gjd1Bp1NzHfR6dC4PIo+GH6rctKRqPg/ sbAz6vC7rsaG9nW1kI4Ec4ytsUde1ywcumHGizlYVgrRzToM0UmlKUp3iUKMLqjc4FcneqIxhAOJ CsbZJXRxP4FUUaI8YyxQnG1lFSg76aPeoIGT8UePl9lc6my95FrBJlf1CC8YE5Mzn9ywbb+s72O6 +dz/Sqfg61PVZCuOEgU56eJCyFYoSFqz6vOb3jlfZa8+Ws90lThndNU15bn24+iL1ISyOBcsSc7d ziK03XzBxsjvNbg+i4+FtIyT93WwerefkCjCjrEcjPx8bG99cCDJPMN1HFz9ZC6lEMboQfS/wXjB hgST6oE1LFDbYaLElEZm/MMt+PST4M0MjBthkwzKJX/ZSW4GKcnXp2dzkvqmbf0b7xSA9Vk1p6JH MXLhbVprX3apN8THARuqxktPgO9v/PZADd4AeDE+Wtl9lG7tY+Yd3I90dxB19GhUNskYhhPsVvO5 j5MD04xWc1Uc3YbYTfmsdNfJGv104P6zQRuGF+vzB3if7aHxx16FylpdtqKfbnYClm0Ew2v56/pz wDL1oZ1Hk4nz3dggBgbT3cd7aIIynsQR2mbud//0koTyjc/kBgQJGX8KDJ6Ine8lbzMz6DeoxHHK EuRvNOQpt/PK2SoASAa63z9OCHBVbSVmsXnYj74W05k5Ys89cmASWmhubu16C7wfgHBB90ICQcIl wIRpe1l3b98VIcaJc4OWOgsuxO32JZMvsAifZKa0bLBgoMfUY9k1OAYfYe52uCV3DaS+qSIB+IoS WTmv0c4gw5TuTsCY01hKySnRi8zPA8NSxtwKqC212rapqRqud+Xm2b52dyq8jOkaKvzGoLnFfhQh QyyeLSYCQ5/VTvF5GAkVkUKt6G3SCvmGUzLriKe13JdakIm0KdbJGaJthqaVrUrpoTWpVZ2OhVhE HP7QY0TcF20nH/72DAq7uoVPm8oOBBZXbLUMMK/utHKHfH4IndQjs9+wD2H+UTR6Vgf3irSMXuKo ORqGFD49Ss3yBFD+EtusPAAfJTGxX+KBLuFJBZGZN1AGYNjljbXrlOvMb1zoDHoYMCkRYox/iHL0 rgguln55EBRmNUnMSi7eYKlcHTrNoPfrtECS8Ph6zNN6zAxTUfA89x7FcU8Q3Btqw3Mem+BwA0n0 vdaOE89yJT3tIjBG1wJiwFIvkbkC0sXOhqcH/EQwU3QbiLFVflV0uIurfJMGmcl3q1hdQG6gsBf0 ALQFEtGmHm7Wtc1Uo0DP5ee+33cu9NAKn4tsiVERsbbnPV7F30J6XKQF3camMX6Ptze0INEZFKLZ f2RxdhqsE8kADB7EhzASO7VVs7OPYnvhNpb2mJ6Q0AP+EUU7D/JM18aGc6C1qDu9UkrjHs5nfFC/ rAKix5vtpevpUsfeBB5U5igTLO+b2bJuAmEdqWFe8oHFGpnjLG7O59T/u2U5gEVCyYxVXvef+/+/ pj88cmES9vle38KGCY/eoh8M5QqXYBpNDrOux9TfX7P9Tkn1N1AWZM04YVAUpnZ7z82DpVQIVGYl 5zEOny/z0Qy1w/94jnw5uLKKjgG5OJusUanEhNAZLkUXUin5EZhpLaluFDH2yYTNxgzZRHyJtnUI YHefU+pLB4YE+wiIpT9gyyfzP7IqN+VLhkNThsDNTojZoHHSLp2MZbUxRO1FxnzVj4OAstqovzjB plPenugvWb36gir7ZRQ7UUAcQqLGAL4aq4kz4IZDXhyzY0yIG93yhsQZWn27N2biu7L23QdYCztr T0kD+vpVUl8b4jRmp3loK7WBGXzUfXnLWu+cxnyBL03p7hNLq4VbtmssaFWpAaL9l4DcDCfc8vLg vIpojiKxdOw/a3whzVsNM31KyrhobH7accXFb8APFUSqQbYt/t8R8r2JEgFEKAtHaP9aq9HiMjCR zue+WtVpMLyovfVNOW/+wmZS3IaZeeh90fvejxGa6g76ycGoeCPRx2fitE5AeiKU1xpVSlmuMp6P 435emRDF5cmPkPDjMTTcCcSYYLQsrgQieNRaprrXmiDeXBKZEayiYXSiXafm3z0D/rCj6MhZ3Fjb Mf/e0g2+gWwsWqz8Lgg13zOSTnWTSGcG9gEJMy9QUkCaaW/Tat8Y7ozLomKWDpt2C8JNd9Sosvfd cfGrFDFTbU55W4IaG6dffqzfAYRXilNPNHJXj8UXLhJ1bEWKVM13dHmwR5Ht6+6rALFQcxKEePqi mwKpthPEtW/mfKPPqF2aMdlUjCkWKugW7jUN4aigu6LWheV3RsXITs7+KMrHTapjS+Jq607LW282 KbLUt85MqKq1kdMHk2Gcp9vD/u0/h6A4WQd+EP6nOX9RDDT1HirRLAIyQmZYfpp5G09hdfENCpHl PdVi+J6+mG1QPS3xvtDzkzthbYXa8hJBge2tBrtoWD6q97Sz1ir0PS0A2O7XndIvbSiG4Q7aOB/P dMpk4Vwks2+S2jwSYgpSsNiZ8CcaqtV/YcHkQzbJw01LRhvYX6gPlUg4O+hdQy4G//3GTPw8Zh8A t/Dwun1AfgOyEl3GD+0YBz2uuxpxDLap6A6waqBXwRzOrQuXifvlAWKwlG6Z4H25D9b1C3wjLKAN xvIvB1ssZKjJdLpR2nx+yP/lQpbIjbwD+ay7zuvHejmq7bAd51GGsZNPP6/daUtdrQJx9Lfz5C/m gj6Tn26q4L7YWdmx+Z/ndwc7nBxP80S3T+zCqFhp9Re1cQ0Y4H3U7JApDCiq0tFKt0+uE7+XVF9O kl+gNbzIrlPNfkheLI11GITVSGyfg0C1hFMr12WBcjuQITq+Ya6XH19fQwFkyKUyg0vW/4Cmq4Fu mYsjuMoC50PK/gaFwcTpWWTEjRMvxHymjHb+z014xGe8jqys2NkB+YEB+gMt5C5kNcmh9PVSerLa XoX/M57F23B3DSdHKwGC/FyMxn7bnqimbOyKXXz1EyNauJF3BdzzL4ODoR91lz7JEfvYul+lAORE u1znpSTZxRgqzHQc1RzRjf1c7K/LuAjnK4D2VRo0RbZofmoi+Lelbi78zfdXh2oqXLAx8VXhJpob Ddax8bEGc8xXIgQKnrQYtUA8xn5RgoZGZ0TyCD2ZhRa9Xdwy8hFuapOGXzdrAPwq++FXqVty3X46 VXmxcxD6MPsXTSN41/t4ptFITslKNcLun6av70WkSsVpcbGGu17pciVnW0FZsjA0H9pHUXxqtlaF x713k3iBEVBRbfBKiNqhp24OrB04wHRz2yiSoNMdaOKEv4C1yqPteGuf62OUjAq2q0o8YwHqaAU3 lUxjePjo/+t46Pg4yl+zLUEV+xXFlSGuvoOtWqrku38dpXKAT0425XRv+VP+WM3S9F5aX1Agpp1i 88k3S+9HPG3YhPfgPpQAjPnbby+UEjyge2BVabLo9b6GFI2+RxhdfbvHIWiXZx5LmEil0XENo1lQ PwnslK/xEgJx5iOpcegQG//eBd1ludgR9bViKRaA7aogAqxS76U0B0mqfeAXiZHorWaze+ogpAwp iBFhR+eAzCj05roju2E1h4Ahvh3S4tVaw1iiA9o+aaiNuP2fx0ZBZ/+dH4uUSnnVHI8ifv4esSWk nXyCWF36/v2+RG6VZM+HM3TlWCwDZs0ODUXz3pLO2kTz8vlRnqgcAhDwwMgG9L/VWGOyZs3sXXhd LaqkA7EPHdqMbLtpTZ1wDwoLy6JewbazbMa4pxQusLJlEqLp87sMrlWCvFVjJHo4bcwIJeY6WPjX 5OTgE4s5yZsZuXKnB9JJe8U9bNwcyJ4z4giQC3emNPwismHVO0AkPRSLMlAiS0rU8Z2ENqIKYnT5 4SrNTC5wQ4dyLbLOqF7a+uK4a6tPfL7hOAJKeULQ0WeBBbOZ6gAdV/fX+iO0rBu8XH0A1djW5MOy Q9Llmp+oL1crvIRqHn3CYWotRP56qbUtQfeYpkdfC/Ry14aTwqXeEslMz6iekJPzSH4ns2Y/O3V9 LHjjM1HtCQCE3o9JcKQeCRaqwAFLlKgudm0OXgyg17Lcnpoc/wUMFIBDVlb37R7KPpmkf8aI7Y2G Vp/CfgygHMpBEawPaX1g/gQIFYM48MKd6Ynl0hsQlO2IDluZjJcwCZxyD3evXRObMfkXSGZL5dOS Uh/7GbwHBaG+Iu4qxEPiwdP8nBZ86iLOlktBGmd896BZc0KNDLTpXkbBR/HLwxE6BlWt5JBVLUJa MFjoeH1NV+cNAdBh8QSlaJfdw+aKAAK5QPLuuMhKa6DevpQ2BLr7ufUFW8BfyDjGmiofTabuUZ0D fWe/ygDfHVkha7wkN2TMSkYNAsNUshqcZuVmTmY1pDzq6vX2NQaxxmuYH4v2KugFNCja+Sb6llRD B03RDrSrhINZ/xcrihZkt4NufghL4tA/lkXW5dvUZUgiKg0Mc+O/fYSxfzRaVOYotHmkE/YYelyG RqQRoNciqfdg9j+4QNOSqibOrMMyfYmWvtjXiuLlYupMFqUpRUREcYVmZDMvrSlQS9yxB9kXtBoB 8C411IHO6B11+E0FZXtg6bPtOJdBB/40CavvcejVMUtXtchKALTGI7Z4StNrznh9yXY6fOmg/OoQ jWxYjq/ZfCP41VNgCc+klZkwSQ9xOqpV7YIQeGNrbK8h0Ea3Lo9XsX67NFqx2fjzMnsAoEDN9nPz 4LAq2qd6AK/XhOYCoXIXvvsTYwHHlMcAihlTXfsIqiQk/cQsrFkRs9hR8xBJL7Q3esk0ybfz/vjS nx8+iln/GpohFi8vQ9oOyU55A3tq99eXhFdSBQMiiyLJ98/b373AP/2QyMyLwldKMUkLpZaRenRc 2fYPahd0C4RXDGNKMDE1/WEDHuvQUgWjDj+Ux0VCHI/s7hyryh9zyz7ucN/8/EVIjrMIZ0OC6LxF T9VMx78Z5CJP8mu+od/ojoXDvHgQNf62MhOpWKnN08ExQOS82Rxqd0cLhal54sfyQRdorbKKOo9l ELO/Tz3ECe1dYyck4krQUdDLSohEgE75iLo9mjwcHhcyjGANw/YB0el9I6Lw8sXm0bwVws6rUAI2 hKhhnUOeUiFSmXW7XFheMa3c4Z9cOO8jdJCkQ4mOI8MflsRke0oxUnexj/7QC5nQQJCoKUwRnO4S hPH4pe5lm32fIyJCxsjeNsr1Ry+a5Evrshtm9Hnq06kcdbnU0cT80R5Yc2rvNVZE6/GpgrtKUs9W oLZG/ut4Py7rYD/CrIjyGZNpE9yN0GjOAqdsCLetiI6Uu5IDbKNDfBXkdrnoGE1cAQOWhAOMGPUC peqSZQ+jjm3QSQctl/fGRCb8g6IIDwxL3oXAX9jyK8QPZ0aQ6ok2kWB9vXR8EdFeqPZ1vBIoh8IZ XHOIflZwwO8n/JyxTpIZtPkxAY2vd/rWHFJ92TBAJu546YUwSlFdeoAkc4mcedz54EgH/4SmBc/q jjbT3radEMVlLrNEpn/ocW25V+g/Oz8EZnt20bF1dAbMRpApnKQANuMUZ/dCKLCXUnUND8YtimOX EORdUjrCwDs2wY6Fir5vOgnCGgyMPbBoX8xak3Hu9KZL4/yCG1MlhVyx2rBHxheZh1gxwoTjVroB CjetnqQhZtVbGogmQDmiEB5eYTqKxHHKKQ+s1lApmk0tPPfVEjx93OLlrfT93m2SEiz9zlLkPW4T 1syBKH3qUc6PqWBYOZ4GoHfhvsAmUboifs9I4jcfZai+GNY/Akj4y82jma8L9ZQg6IOdlhRrTLXw lZ1LZ98TYsijM4GukcsxMOtZiuYcLn+rkQz7YyGOOfuOgBSgEq5ZhK/be17+yVvIdBctoI1O1VQw nkkgm4Aa5gAbi30WChfed456BPmdjqqR7TQmEkCmozDbIoy6DO1VbEICt0eE+zDK8uzAJuIakyL1 4SkdpPAZkITt4Vr9oymXtogK3gsCo7XkkocnDzLIBdRNViLIY+US8fE22fV2BdOLLs9+JSKeSD2n hCgmMHiK2JXcmZZdhbEpxC6N0SDwaEPJIQPuwmunM2RAzF8rn6TC29xKbW8WE3r0R6dNDOPa0PLz RvB3SC77hYbNXCs5otn48mcyGkhzdQZiiXj+h1XSMd588REiMqMYQ0p0BsD9IL9anjB5kwNhGSTh MsPSyxNv8vbfBBRZtraiMAZWcyGyLBbEG/iqASGkON3Ug4T9Zgme5knQALXGllDt6yKeZriYlM32 p7pD53DX/TaQvUzxqz14ZRuVTcs/7KIb6PpOxlV8YQx2g90jFqoxSmW11wKGQ90+zQ7vmPfXuuqt MbDwl+jLvHceLdJJ95p4u75bF+oQi+SOXHmkl/vf2cOdCA1IMHBi1RdAXvs5omwdMq8GqKEYouAP RMGMLubi4iw52qcNlDW7ImbNusLnGFQr8JhGC8fbIqYSPxklgg1gedX2GheyXvAQvrrlZrFwuhwD qsOJqwmUYlLXK9Hq5aTquiKkXPNFiJaRcEnWPtDqI23f3UPwgpHEJFMZo6R5rMTDxsLxFk+15Vrp MF2SF4IIbHLEP477rwpDFzzUIYZB/+GnG9HTI0DbhQD19Adz6zYTJinJuoWnDreF4ZaNu1u1qjSp 2U04ZFmWJhnqwCNhZTXre3TSgBjSUTpf8nma8pYP/w0l0FdYXkVwaJUi6JHl53ViPjEkkbtWbZEI uEkQa2oNmI6bszGqiVjFZ8BuQkkHkJGGT/as0RcB1KLcXstZR1AWrIe8yR22pemmnLvySHd6ZbLw TDW+SRVlWg0jiatJuN/AZYvpz/FyE699UiVk46QyX4sHQKtoy0qiXZuRRGMQgv1jPHQoeG9CQttu QxQPKHcIlcoTJy3ADSQqqjaVOu5KaIYfXbSzYNguTcBP84WysCnvU2KfmdJxRC4MQBgJmmSZsvco m20ykk90BTzHB8tGH48lPKZRsO6dZMGcFZTuWxuSm0yBuvlWMUj+xkXFVjRffP0k/9/++0GRVeuD XWhZQ1MABvtVBBPbY+kNFsgHs9dK3WgzBTqUWqMFho6davVhp1a2FvNY5Y16GwOGh0rw/SVCKWpq +qPOoSU2yeN8cSNNboB8rC2lQS1F7jUEYb4tKCPBBlA46mRONI4ZqWtDXOqA2d6V3Sb3wEDnh4gN LvM5mhXPGFj5Hg5jdK3AQe1efo4uJ3dSl5lRnzDy76ukZ7vywbtQFXOu7bVbuzlIDc7liUuT9Tbj pfC5w70GHZqSIb1qvJqeAIMGpIbCPOB3wwqF4wlBdQgB/qcMQaE+zq6FO82VBC4VThnxC+G5Pllw LqoOmH+fFrEIey68tgWE8xsCuCCW5cezYNLFn00gdrFfUCqfjPjTa424eSTw+dUH+7C6c7/VNWum gKK5uuhFntYqkTjZg7IEL1RM7drElf4F7OobO75mh1xf21ByKQxw4cSbqRGL0GsuzTb+GDKhlx4v 5xWwJOnpQ8oPbcW5tU2Mn3a1H+OFzBCoqysvx9jgFaZ1ZLql09KBpj/K8dXfLnsEcScIbP/8vSrr JLANRIDMPZNQudaCUDVm93FUMmzFNX43F2mcKgiNvp0LW95m/rTggab5mdlqjzoKYX/BegprHQk5 zpfeqOFRR56ho6apJCqtNZDqa6a1yZ3zD23ljoNurNgj0OSgyH11XtJuVBQmGk/fJqnILE2lFI6I 9xObzcI9KN/wB/7wiYntyXx+QPP7FS1GBO6xeXq5tNk4QGVRHklmEzYj/UvgXQFhTWxrl7LgxYSr hLG+1Wyd1/VMZ5o/ANUbCE5Z4cN577mS5U9Il65kmTwVxxx9S4YKzR0QtJO1BH6A/SatSlsDHLrA h/4bdblmlCVkxsdATROTQdXpTI3VowAdHjL04vCabe4UkD/ku7oAf7xVM+YBngxCgH1fPZpk3xcm l2CzPZ+tPArfmWQCeBS/oIX2K67IEkkXF9SRooBe7aNqjOSqUk5TYFvMm1TgsF58XQ6Psf5g7nme 7ZjZEVhwI5D0qHVERroiX17kIUKm7kqEJ/MwP6Kb2v0+R3Q0rQa360pa5FIFCpe077rn9nj2kCVj QH1KPE8FSn0PuDVfsJsHrZvy8+UfasDstXJoQi5orcvFn6DZK9rsRxrROiRFRaG6FydQOq+IgpA2 ACQKm6TPeFsH6zRCu5tYwu4Yp/a6vi97aIOSp9O0oqR3vb3UlKE2DY2k0tGonY0g2cNBOCRPpL4p DIVGKBNxaxmN3gWXiiI1apHapdGDc9Oe56bEmLqYEG0Wb2jER/cNCHAULBUg6InXPNTlZduAuUFp ke612anhCn9E9xneIYYXWs5rWhX5zu0S+AaOikvQLidVctGqK4i/Dh5xRiFXgTkg3fVy5Hz55dGO IK6purSFJ7GFqfch3JW29UTlpxRpcNAuX2oDdDNOjJUP7iq6blaqM9NrMDdyv3NKTIH8hJDRMTI3 v5t4EOxBQSKld7oV9kt68LaIziKQR7+G8fpVsG0YXHwsaoUlD6UXuKATNfFbF1SRaA80Z6TOqwD7 Um6AIVRnqhIwSQPu1cw6seUyqxnFS8rNA9DoKPLxm4yOj6KvfLKOxhUQZAOPwTP7dW44N9M2JJJ/ iqNF52buQ6tAQdDJw37HJfXJqyXB99I5ly8fXawvBbEESlv6twF35pHOPhSG1SxFSMSd9ZePJ8UX Fe7WRfBFwjzwdSIJaGDBHd7xJNAEtCT+gwplgjxOeMOcz9I8Ji8aRs+l04BZO2rk8Nr195Mzouv1 FbtWQBWW51tyPG5UMwM4tjoKf2HZCuUOyEJCWTNgqXpHHihaAAfoOsHE7BiR0mQkIpPetC57aFz3 lbGSS/0yMwhb4k8FQUSwBglIhM4j7yQeXDuQQiLuIrIw80lxoZ82iz1GutgzO1rofGXHStYCgjkV gJOzx67iyw9J/e85BibavG2VeZzpWrKxrylwIJyRF2MZ81Uqt0tRIhHJVLJZWkJ2QOFhaFhP8rbq IIFp+N1LFw9yOnxMrigwuPiZn9eAT/pU4yOlAirT+oYMuVQughCYyJEpMVAdex/uMhC/Dpov592a va3udrTNMo8tg/G4xxxYnKivrytnH5dmfcW5v4f5ewR/6y5r1T/sO8lluQRw0VBj92FoB70neubP f9a03WthMKKcZ1cvaitiJnTVbY3trClkdtueAZP002P9AS68Q29VvF2kCVPNPnCyr4+r1sS9fGVt +Po/60C30T4p67u7AhG/GvQYGTXY8mJ8geoFX1PTpMULmLCIK/erVegpYHCfHxAMDr6C2/uLuyov uA56e3YWLrYB7QC1L3E/zL5/oldU1kufj603zRJ0HrwB3C4ZqlV/StEr0anS0xFNANUy27DlD1S+ buUW+IAtxb+f4Uvsc5p50kF8h6EbnCEYb+bETNnJJj7aWZdW0G8Cp2hm8Y5ma8umvlJcWTT9haOA owKMVnJQ4lfAZ7syL0sBSd8jicUDURrZmjZoctluLnAhdVG8TJsaEHpS25agXvrI6UdMY1XEW2z1 niLozebiP2k2LmU8nMh94n+PtHsw/dGflfpx+Jz1iDySRmWl+px0hmp4VPumbRKn0I6TTxqdK06J JRoHep1OtRyr+UxVk/TBwQibwwZdlpPTvBbyCN9aUlOceLNSHO7vvEmOKhhwbTatzQ6NENbhDgrV 51Ge7xL8sX7MddRrd7uGGI46vAGKwxrKp8F5S49J8CRErrAJR1PiWYtzF4WZabJicWNo2LcAgL2u ibsrILI0MbA7uwG3KOKgVMXPzwNfXxiu/6cu5w531hxG9fMiGjW5X8mFd/7Phr1tFCoH1OJ0+GFQ LSQoqpaqZs800JCzksX7G8H5JOOQHFxswBGMh9cKaCTE5yx+Pp8anWxnVKycSPbvJ76F4xU7D3pF 8C7B3gzWRgrvfJaqqPYNMgbAKs2YK137kT2xTukStHm4VJ//aK2iRlYSKfqANiJiUHRrAFd/W/s1 NyKIFVMb3cqkkhsTKxkWVU82WVa129izplRqBmFYsKZ8yuG3wcOG0vK6iW8s+5IIAHbSCxFoyLSj KX2S9pmEtPIvsyhigKWnC2aTG3BSVggo `protect end_protected
mit
HighlandersFRC/fpga
lights_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/proc_common_v4_0/hdl/src/vhdl/srl_fifo3.vhd
15
67496
------------------------------------------------------------------------------- -- $Id: srl_fifo3.vhd,v 1.1.4.1 2010/09/14 22:35:47 dougt Exp $ ------------------------------------------------------------------------------- -- srl_fifo3 - entity / architecture pair ------------------------------------------------------------------------------- -- -- ************************************************************************* -- ** ** -- ** DISCLAIMER OF LIABILITY ** -- ** ** -- ** This text/file contains proprietary, confidential ** -- ** information of Xilinx, Inc., is distributed under ** -- ** license from Xilinx, Inc., and may be used, copied ** -- ** and/or disclosed only pursuant to the terms of a valid ** -- ** license agreement with Xilinx, Inc. Xilinx hereby ** -- ** grants you a license to use this text/file solely for ** -- ** design, simulation, implementation and creation of ** -- ** design files limited to Xilinx devices or technologies. ** -- ** Use with non-Xilinx devices or technologies is expressly ** -- ** prohibited and immediately terminates your license unless ** -- ** covered by a separate agreement. ** -- ** ** -- ** Xilinx is providing this design, code, or information ** -- ** "as-is" solely for use in developing programs and ** -- ** solutions for Xilinx devices, with no obligation on the ** -- ** part of Xilinx to provide support. By providing this design, ** -- ** code, or information as one possible implementation of ** -- ** this feature, application or standard, Xilinx is making no ** -- ** representation that this implementation is free from any ** -- ** claims of infringement. You are responsible for obtaining ** -- ** any rights you may require for your implementation. ** -- ** Xilinx expressly disclaims any warranty whatsoever with ** -- ** respect to the adequacy of the implementation, including ** -- ** but not limited to any warranties or representations that this ** -- ** implementation is free from claims of infringement, implied ** -- ** warranties of merchantability or fitness for a particular ** -- ** purpose. ** -- ** ** -- ** Xilinx products are not intended for use in life support ** -- ** appliances, devices, or systems. Use in such applications is ** -- ** expressly prohibited. ** -- ** ** -- ** Any modifications that are made to the Source Code are ** -- ** done at the user’s sole risk and will be unsupported. ** -- ** The Xilinx Support Hotline does not have access to source ** -- ** code and therefore cannot answer specific questions related ** -- ** to source HDL. The Xilinx Hotline support of original source ** -- ** code IP shall only address issues and questions related ** -- ** to the standard Netlist version of the core (and thus ** -- ** indirectly, the original core source). ** -- ** ** -- ** Copyright (c) 2002-2010 Xilinx, Inc. All rights reserved. ** -- ** ** -- ** This copyright and support notice must be retained as part ** -- ** of this text at all times. ** -- ** ** -- ************************************************************************* -- ------------------------------------------------------------------------------- -- Filename: srl_fifo3.vhd -- -- Description: same as srl_fifo except the Addr port has the correct bit -- ordering, there is a true FIFO_Empty port, and the C_DEPTH -- generic actually controlls how many elements the fifo will -- hold (up to 16). includes an assertion statement to check -- that C_DEPTH is less than or equal to 16. changed -- C_DATA_BITS to C_DWIDTH and changed it from natural to -- positive (the width should be 1 or greater, zero width -- didn't make sense to me!). Changed C_DEPTH from natural -- to positive (zero elements doesn't make sense). -- The Addr port in srl_fifo has the bits reversed which -- made it more difficult to use. C_DEPTH was not used in -- srl_fifo. Data_Exists is delayed by one clock so it is -- not usefull for generating an empty flag. FIFO_Empty is -- generated directly from the address, the same way that -- FIFO_Full is generated. -- -- VHDL-Standard: VHDL'93 ------------------------------------------------------------------------------- -- Structure: -- srl_fifo3.vhd -- ------------------------------------------------------------------------------- -- Author: jam -- -- History: -- JAM 2002-02-02 First Version - modified from original srl_fifo -- -- DCW 2002-03-12 Structural implementation of synchronous reset for -- Data_Exists DFF (using FDR) -- -- JAM 2002-04-12 Added C_XON generic for mixed vhdl/verilog sims -- -- als 2002-04-18 Added default for XON generic in SRL16E, FDRE, and FDR -- component declarations -- -- JAM 2002-05-01 Changed FIFO_Empty output from buffer_Empty, which had -- a clock delay, to the not of data_Exists_I, which -- doesn't have any delay -- -- DCW 2004-10-15 Changed unisim.all to unisim.vcomponents. -- Added C_FAMILY generic. -- Added C_AWIDTH generic. -- -- -- DET 1/17/2008 v4_0 -- ~~~~~~ -- - Changed proc_common library version to v4_0 -- - Incorporated new disclaimer header -- ^^^^^^ -- ------------------------------------------------------------------------------- -- Naming Conventions: -- active low signals: "*_n" -- clock signals: "clk", "clk_div#", "clk_#x" -- reset signals: "rst", "rst_n" -- generics: "C_*" -- user defined types: "*_TYPE" -- state machine next state: "*_ns" -- state machine current state: "*_cs" -- combinatorial signals: "*_com" -- pipelined or register delay signals: "*_d#" -- counter signals: "*cnt*" -- clock enable signals: "*_ce" -- internal version of output port "*_i" -- device pins: "*_pin" -- ports: - Names begin with Uppercase -- processes: "*_PROCESS" -- component instantiations: "<ENTITY_>I_<#|FUNC> ------------------------------------------------------------------------------- library ieee; use ieee.std_logic_1164.all; use ieee.std_logic_arith.all; use ieee.std_logic_unsigned.all; use ieee.numeric_std.all; library proc_common_v4_0; use proc_common_v4_0.all; use proc_common_v4_0.family.all; library unisim; use unisim.vcomponents.all; entity srl_fifo3 is generic ( C_FAMILY : string := "virtex4"; -- latest and greatest C_DWIDTH : positive := 8; -- changed to positive C_AWIDTH : positive := 4; -- changed to positive C_DEPTH : positive := 16 -- changed to positive ); port ( Clk : in std_logic; Reset : in std_logic; FIFO_Write : in std_logic; Data_In : in std_logic_vector(0 to C_DWIDTH-1); FIFO_Read : in std_logic; Data_Out : out std_logic_vector(0 to C_DWIDTH-1); FIFO_Full : out std_logic; FIFO_Empty : out std_logic; Data_Exists : out std_logic; Addr : out std_logic_vector(0 to C_AWIDTH-1) ); end entity srl_fifo3; architecture imp of srl_fifo3 is ------------------------------------------------------------------------------ -- Architecture BEGIN ------------------------------------------------------------------------------ begin ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ -- GENERATE FOR C_DEPTH LESS THAN 17 ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ C_DEPTH_LT_17 : if (C_DEPTH < 17) generate -------------------------------------------------------------------------- -- Constant Declarations -------------------------------------------------------------------------- -- convert C_DEPTH to a std_logic_vector so FIFO_Full can be generated -- based on the selected depth rather than fixed at 16 constant DEPTH : std_logic_vector(0 to 3) := conv_std_logic_vector(C_DEPTH-1,4); -------------------------------------------------------------------------- -- Signal Declarations -------------------------------------------------------------------------- signal addr_i : std_logic_vector(0 to 3); signal buffer_Full : std_logic; signal buffer_Empty : std_logic; signal next_Data_Exists : std_logic; signal data_Exists_I : std_logic; signal valid_Write : std_logic; signal hsum_A : std_logic_vector(0 to 3); signal sum_A : std_logic_vector(0 to 3); signal addr_cy : std_logic_vector(0 to 4); -------------------------------------------------------------------------- -- Component Declarations -------------------------------------------------------------------------- component SRL16E is -- pragma translate_off generic ( INIT : bit_vector := X"0000" ); -- pragma translate_on port ( CE : in std_logic; D : in std_logic; Clk : in std_logic; A0 : in std_logic; A1 : in std_logic; A2 : in std_logic; A3 : in std_logic; Q : out std_logic ); end component SRL16E; component MULT_AND port ( I0 : in std_logic; I1 : in std_logic; LO : out std_logic ); end component; component MUXCY_L port ( DI : in std_logic; CI : in std_logic; S : in std_logic; LO : out std_logic ); end component; component XORCY port ( LI : in std_logic; CI : in std_logic; O : out std_logic ); end component; component FDRE is port ( Q : out std_logic; C : in std_logic; CE : in std_logic; D : in std_logic; R : in std_logic ); end component FDRE; component FDR is port ( Q : out std_logic; C : in std_logic; D : in std_logic; R : in std_logic ); end component FDR; -------------------------------------------------------------------------- -- Begin for Generate -------------------------------------------------------------------------- begin -------------------------------------------------------------------------- -- Depth check and assertion -------------------------------------------------------------------------- -- C_DEPTH is positive so that ensures the fifo is at least 1 element deep -- make sure it is not greater than 16 locations deep -- pragma translate_off assert C_DEPTH <= 16 report "SRL Fifo's must be 16 or less elements deep" severity FAILURE; -- pragma translate_on -------------------------------------------------------------------------- -- Concurrent Signal Assignments -------------------------------------------------------------------------- -- since srl16 address is 3 downto 0 need to compare individual bits -- didn't muck with addr_i since the basic addressing works - Addr output -- is generated correctly below buffer_Full <= '1' when (addr_i(0) = DEPTH(3) and addr_i(1) = DEPTH(2) and addr_i(2) = DEPTH(1) and addr_i(3) = DEPTH(0) ) else '0'; FIFO_Full <= buffer_Full; buffer_Empty <= '1' when (addr_i = "0000") else '0'; FIFO_Empty <= not data_Exists_I; -- generate a true empty flag with no delay -- was buffer_Empty, which had a clock dly next_Data_Exists <= (data_Exists_I and not buffer_Empty) or (buffer_Empty and FIFO_Write) or (data_Exists_I and not FIFO_Read); Data_Exists <= data_Exists_I; valid_Write <= FIFO_Write and (FIFO_Read or not buffer_Full); addr_cy(0) <= valid_Write; -------------------------------------------------------------------------- -- Data Exists DFF Instance -------------------------------------------------------------------------- DATA_EXISTS_DFF : FDR port map ( Q => data_Exists_I, -- [out std_logic] C => Clk, -- [in std_logic] D => next_Data_Exists, -- [in std_logic] R => Reset -- [in std_logic] ); -------------------------------------------------------------------------- -- GENERATE ADDRESS COUNTERS -------------------------------------------------------------------------- Addr_Counters : for i in 0 to 3 generate hsum_A(i) <= (FIFO_Read xor addr_i(i)) and (FIFO_Write or not buffer_Empty); MUXCY_L_I : MUXCY_L port map ( DI => addr_i(i), -- [in std_logic] CI => addr_cy(i), -- [in std_logic] S => hsum_A(i), -- [in std_logic] LO => addr_cy(i+1) -- [out std_logic] ); XORCY_I : XORCY port map ( LI => hsum_A(i), -- [in std_logic] CI => addr_cy(i), -- [in std_logic] O => sum_A(i) -- [out std_logic] ); FDRE_I : FDRE port map ( Q => addr_i(i), -- [out std_logic] C => Clk, -- [in std_logic] CE => data_Exists_i, -- [in std_logic] D => sum_A(i), -- [in std_logic] R => Reset -- [in std_logic] ); end generate Addr_Counters; -------------------------------------------------------------------------- -- GENERATE FIFO RAM -------------------------------------------------------------------------- FIFO_RAM : for I in 0 to C_DWIDTH-1 generate SRL16E_I : SRL16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( CE => valid_Write, -- [in std_logic] D => Data_In(I), -- [in std_logic] Clk => Clk, -- [in std_logic] A0 => addr_i(0), -- [in std_logic] A1 => addr_i(1), -- [in std_logic] A2 => addr_i(2), -- [in std_logic] A3 => addr_i(3), -- [in std_logic] Q => Data_Out(I) -- [out std_logic] ); end generate FIFO_RAM; -------------------------------------------------------------------------- -- INT_ADDR_PROCESS -------------------------------------------------------------------------- -- This process assigns the internal address to the output port -------------------------------------------------------------------------- -- modified the process to flip the bits since the address bits from -- the srl16 are 3 downto 0 and Addr needs to be 0 to 3 INT_ADDR_PROCESS:process (addr_i) begin for i in Addr'range loop Addr(i) <= addr_i(3 - i); -- flip the bits to account end loop; -- for srl16 addr end process; end generate; ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ -- GENERATE FOR C_DEPTH GREATER THAN 16, LESS THAN 32, -- AND VIRTEX-E AND OLDER FAMILIES ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ C_DEPTH_16_32_VE : if ( ( (C_DEPTH > 16) and (C_DEPTH < 33) ) and ( equalIgnoreCase(C_FAMILY,"virtex") or equalIgnoreCase(C_FAMILY,"virtexe") or equalIgnoreCase(C_FAMILY,"spartan3e") or equalIgnoreCase(C_FAMILY,"spartan3") ) ) generate -------------------------------------------------------------------------- -- Constant Declarations -------------------------------------------------------------------------- -------------------------------------------------------------------------- -- Signal Declarations -------------------------------------------------------------------------- signal addr_i : std_logic_vector(0 to 4); signal addr_i_1 : std_logic_vector(3 downto 0); signal buffer_Full_1 : std_logic; signal next_buffer_Full_1 : std_logic; signal next_Data_Exists_1 : std_logic; signal data_Exists_I_1 : std_logic; signal FIFO_Write_1 : std_logic; signal Data_In_1 : std_logic_vector(0 to C_DWIDTH-1); signal FIFO_Read_1 : std_logic; signal Data_Out_1 : std_logic_vector(0 to C_DWIDTH-1); signal addr_i_2 : std_logic_vector(3 downto 0); signal buffer_Full_2 : std_logic; signal next_buffer_Full_2 : std_logic; signal next_Data_Exists_2 : std_logic; signal data_Exists_I_2 : std_logic; signal FIFO_Write_2 : std_logic; signal Data_In_2 : std_logic_vector(0 to C_DWIDTH-1); signal FIFO_Read_2 : std_logic; signal Data_Out_2 : std_logic_vector(0 to C_DWIDTH-1); -------------------------------------------------------------------------- -- Component Declarations -------------------------------------------------------------------------- component SRL16E is -- pragma translate_off generic ( INIT : bit_vector := X"0000" ); -- pragma translate_on port ( CE : in std_logic; D : in std_logic; Clk : in std_logic; A0 : in std_logic; A1 : in std_logic; A2 : in std_logic; A3 : in std_logic; Q : out std_logic ); end component SRL16E; component FDR is port ( Q : out std_logic; C : in std_logic; D : in std_logic; R : in std_logic ); end component FDR; -------------------------------------------------------------------------- -- Begin for Generate -------------------------------------------------------------------------- begin -------------------------------------------------------------------------- -- Concurrent Signal Assignments -------------------------------------------------------------------------- next_Data_Exists_1 <= ((FIFO_Write and not(FIFO_Read) and not(addr_i_1(0)) and not(addr_i_1(1)) and not(addr_i_1(2)) and not(addr_i_1(3))) or data_Exists_I_1) and not (FIFO_Read and not(FIFO_Write) and not(addr_i_1(0)) and not(addr_i_1(1)) and not(addr_i_1(2)) and not(addr_i_1(3))); FIFO_Write_1 <= FIFO_Write; FIFO_Write_2 <= FIFO_Write; FIFO_Read_1 <= FIFO_Read; FIFO_Read_2 <= FIFO_Read; data_Exists <= data_Exists_I_1; Data_Out <= Data_Out_2 when (data_Exists_I_2 = '1') else Data_Out_1; Data_In_2 <= Data_Out_1; Data_In_1 <= Data_In; FIFO_Full <= buffer_Full_2; next_buffer_Full_1 <= '1' when (addr_i_1 = "1111") else '0'; next_Data_Exists_2 <= ((FIFO_Write and not(FIFO_Read) and not(addr_i_2(0)) and not(addr_i_2(1)) and not(addr_i_2(2)) and not (addr_i_2(3)) and (buffer_Full_1)) or data_Exists_I_2) and not(FIFO_Read and not(FIFO_Write) and not(addr_i_2(0)) and not(addr_i_2(1)) and not(addr_i_2(2)) and not(addr_i_2(3))); next_buffer_Full_2 <= '1' when (addr_i_2 = "1111") else '0'; FIFO_Empty <= not next_Data_Exists_1 and not next_Data_Exists_2; -- generate a true empty flag with no delay -- was buffer_Empty, which had a clock dly -------------------------------------------------------------------------- -- Address Processes -------------------------------------------------------------------------- ADDRS_1 : process (Clk) begin if (clk'event and clk = '1') then if (Reset = '1') then addr_i_1 <= "0000"; elsif ((buffer_Full_1='0') and (FIFO_Write='1') and (FIFO_Read='0') and (data_Exists_I_1='1')) then addr_i_1 <= addr_i_1 + 1; elsif (not(addr_i_1 = "0000") and (FIFO_Read='1') and (FIFO_Write='0') and (data_Exists_I_2='0')) then addr_i_1 <= addr_i_1 - 1; else null; end if; end if; end process; ADDRS_2 : process (Clk) begin if (clk'event and clk = '1') then if (Reset = '1') then addr_i_2 <= "0000"; elsif ((buffer_Full_2='0') and (FIFO_Write = '1') and (FIFO_Read = '0') and (buffer_Full_1 = '1') and (data_Exists_I_2='1')) then addr_i_2 <= addr_i_2 + 1; elsif (not(addr_i_2 = "0000") and (FIFO_Read = '1') and (FIFO_Write = '0')) then addr_i_2 <= addr_i_2 - 1; else null; end if; end if; end process; ADDR_OUT : process (addr_i_1, addr_i_2, data_Exists_I_2) begin if (data_Exists_I_2 = '0') then Addr <= '0' & addr_i_1; else Addr <= '1' & addr_i_2; end if; end process; -------------------------------------------------------------------------- -- Data Exists Instances -------------------------------------------------------------------------- DATA_EXISTS_1_DFF : FDR port map ( Q => data_Exists_I_1, -- [out std_logic] C => Clk, -- [in std_logic] D => next_Data_Exists_1, -- [in std_logic] R => Reset -- [in std_logic] ); DATA_EXISTS_2_DFF : FDR port map ( Q => data_Exists_I_2, -- [out std_logic] C => Clk, -- [in std_logic] D => next_Data_Exists_2, -- [in std_logic] R => Reset -- [in std_logic] ); -------------------------------------------------------------------------- -- Buffer Full Instances -------------------------------------------------------------------------- BUFFER_FULL_1_DFF : FDR port map ( Q => buffer_Full_1, -- [out std_logic] C => Clk, -- [in std_logic] D => next_buffer_Full_1, -- [in std_logic] R => Reset -- [in std_logic] ); BUFFER_FULL_2_DFF : FDR port map ( Q => buffer_Full_2, -- [out std_logic] C => Clk, -- [in std_logic] D => next_buffer_Full_2, -- [in std_logic] R => Reset -- [in std_logic] ); -------------------------------------------------------------------------- -- GENERATE FIFO RAMS -------------------------------------------------------------------------- FIFO_RAM_1 : for i in 0 to C_DWIDTH-1 generate SRL16E_I : SRL16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( CE => FIFO_Write_1, -- [in std_logic] D => Data_In_1(i), -- [in std_logic] Clk => Clk, -- [in std_logic] A0 => addr_i_1(0), -- [in std_logic] A1 => addr_i_1(1), -- [in std_logic] A2 => addr_i_1(2), -- [in std_logic] A3 => addr_i_1(3), -- [in std_logic] Q => Data_Out_1(i) -- [out std_logic] ); end generate FIFO_RAM_1; FIFO_RAM_2 : for i in 0 to C_DWIDTH-1 generate SRL16E_I : SRL16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( CE => FIFO_Write_2, -- [in std_logic] D => Data_In_2(i), -- [in std_logic] Clk => Clk, -- [in std_logic] A0 => addr_i_2(0), -- [in std_logic] A1 => addr_i_2(1), -- [in std_logic] A2 => addr_i_2(2), -- [in std_logic] A3 => addr_i_2(3), -- [in std_logic] Q => Data_Out_2(i) -- [out std_logic] ); end generate FIFO_RAM_2; end generate; ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ -- GENERATE FOR C_DEPTH GREATER THAN 16, LESS THAN 32, -- AND VIRTEX-2 AND NEWER FAMILIES ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ C_DEPTH_16_32_V2 : if ( ( (C_DEPTH > 16) and (C_DEPTH < 33) ) and ( equalIgnoreCase(C_FAMILY,"virtex2") or equalIgnoreCase(C_FAMILY,"virtex2p") or equalIgnoreCase(C_FAMILY,"virtex4") ) ) generate -------------------------------------------------------------------------- -- Constant Declarations -------------------------------------------------------------------------- constant DEPTH : std_logic_vector(0 to 4) := conv_std_logic_vector(C_DEPTH-1,5); -------------------------------------------------------------------------- -- Signal Declarations -------------------------------------------------------------------------- signal addr_i : std_logic_vector(0 to 4); signal buffer_Full : std_logic; signal buffer_Empty : std_logic; signal next_Data_Exists : std_logic; signal data_Exists_I : std_logic; signal valid_Write : std_logic; signal hsum_A : std_logic_vector(0 to 4); signal sum_A : std_logic_vector(0 to 4); signal addr_cy : std_logic_vector(0 to 5); signal D_Out_ls : std_logic_vector(0 to C_DWIDTH-1); signal D_Out_ms : std_logic_vector(0 to C_DWIDTH-1); signal q15 : std_logic_vector(0 to C_DWIDTH-1); -------------------------------------------------------------------------- -- Component Declarations -------------------------------------------------------------------------- component SRL16E is -- pragma translate_off generic ( INIT : bit_vector := X"0000" ); -- pragma translate_on port ( CE : in std_logic; D : in std_logic; Clk : in std_logic; A0 : in std_logic; A1 : in std_logic; A2 : in std_logic; A3 : in std_logic; Q : out std_logic ); end component SRL16E; component MUXCY_L port ( DI : in std_logic; CI : in std_logic; S : in std_logic; LO : out std_logic ); end component; component XORCY port ( LI : in std_logic; CI : in std_logic; O : out std_logic ); end component; component FDRE is port ( Q : out std_logic; C : in std_logic; CE : in std_logic; D : in std_logic; R : in std_logic ); end component FDRE; component FDR is port ( Q : out std_logic; C : in std_logic; D : in std_logic; R : in std_logic ); end component FDR; component MUXF5 port ( O : out std_logic; I0 : in std_logic; I1 : in std_logic; S : in std_logic ); end component; component SRLC16E -- pragma translate_off generic ( INIT : bit_vector := X"0000" ); -- pragma translate_on port ( Q : out std_logic; Q15 : out std_logic; A0 : in std_logic; A1 : in std_logic; A2 : in std_logic; A3 : in std_logic; CE : in std_logic; CLK : in std_logic; D : in std_logic ); end component; component LUT3 generic( INIT : bit_vector := X"0" ); port( O : out std_ulogic; I0 : in std_ulogic; I1 : in std_ulogic; I2 : in std_ulogic ); end component; -------------------------------------------------------------------------- -- Begin for Generate -------------------------------------------------------------------------- begin -------------------------------------------------------------------------- -- Concurrent Signal Assignments -------------------------------------------------------------------------- --buffer_Full <= '1' when (addr_i = "11111") else '0'; buffer_Full <= '1' when (addr_i(0) = DEPTH(4) and addr_i(1) = DEPTH(3) and addr_i(2) = DEPTH(2) and addr_i(3) = DEPTH(1) and addr_i(4) = DEPTH(0) ) else '0'; FIFO_Full <= buffer_Full; buffer_Empty <= '1' when (addr_i = "00000") else '0'; FIFO_Empty <= not data_Exists_I; -- generate a true empty flag with no delay -- was buffer_Empty, which had a clock dly Data_Exists <= data_Exists_I; addr_cy(0) <= valid_Write; next_Data_Exists <= (data_Exists_I and not buffer_Empty) or (buffer_Empty and FIFO_Write) or (data_Exists_I and not FIFO_Read); -------------------------------------------------------------------------- -- Data Exists DFF Instance -------------------------------------------------------------------------- DATA_EXISTS_DFF : FDR port map ( Q => data_Exists_i, -- [out std_logic] C => Clk, -- [in std_logic] D => next_Data_Exists, -- [in std_logic] R => Reset -- [in std_logic] ); -------------------------------------------------------------------------- -- Valid Write LUT Instance -------------------------------------------------------------------------- -- XST CR183399 WA -- valid_Write <= FIFO_Write and (FIFO_Read or not buffer_Full); VALID_WRITE_I : LUT3 generic map ( INIT => X"8A" ) port map ( O => valid_Write, I0 => FIFO_Write, I1 => FIFO_Read, I2 => buffer_Full ); --END XST WA for CR183399 -------------------------------------------------------------------------- -- GENERATE ADDRESS COUNTERS -------------------------------------------------------------------------- ADDR_COUNTERS : for i in 0 to 4 generate hsum_A(I) <= (FIFO_Read xor addr_i(i)) and (FIFO_Write or not buffer_Empty); MUXCY_L_I : MUXCY_L port map ( DI => addr_i(i), -- [in std_logic] CI => addr_cy(i), -- [in std_logic] S => hsum_A(i), -- [in std_logic] LO => addr_cy(i+1) -- [out std_logic] ); XORCY_I : XORCY port map ( LI => hsum_A(i), -- [in std_logic] CI => addr_cy(i), -- [in std_logic] O => sum_A(i) -- [out std_logic] ); FDRE_I : FDRE port map ( Q => addr_i(i), -- [out std_logic] C => Clk, -- [in std_logic] CE => data_Exists_i, -- [in std_logic] D => sum_A(i), -- [in std_logic] R => Reset -- [in std_logic] ); end generate Addr_Counters; -------------------------------------------------------------------------- -- GENERATE FIFO RAMS -------------------------------------------------------------------------- FIFO_RAM : for i in 0 to C_DWIDTH-1 generate SRLC16E_LS : SRLC16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( Q => D_Out_ls(i), Q15 => q15(i), A0 => addr_i(0), A1 => addr_i(1), A2 => addr_i(2), A3 => addr_i(3), CE => valid_Write, CLK => Clk, D => Data_In(i) ); SRL16E_MS : SRL16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( CE => valid_Write, D => q15(i), Clk => Clk, A0 => addr_i(0), A1 => addr_i(1), A2 => addr_i(2), A3 => addr_i(3), Q => D_Out_ms(i) ); MUXF5_I: MUXF5 port map ( O => Data_Out(i), --[out] I0 => D_Out_ls(i), --[in] I1 => D_Out_ms(i), --[in] S => addr_i(4) --[in] ); end generate FIFO_RAM; -------------------------------------------------------------------------- -- INT_ADDR_PROCESS -------------------------------------------------------------------------- -- This process assigns the internal address to the output port -------------------------------------------------------------------------- INT_ADDR_PROCESS:process (addr_i) begin -- process for i in Addr'range loop Addr(i) <= addr_i(4 - i); --flip the bits to account for srl16 addr end loop; end process; end generate; ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ -- GENERATE FOR C_DEPTH GREATER THAN 32, LESS THAN 65, -- AND VIRTEX-E AND OLDER FAMILIES ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ C_DEPTH_32_64_VE : if ( (C_DEPTH > 32) and (C_DEPTH < 65) and ( equalIgnoreCase(C_FAMILY,"virtex") or equalIgnoreCase(C_FAMILY,"virtexe") or equalIgnoreCase(C_FAMILY,"spartan3e") or equalIgnoreCase(C_FAMILY,"spartan3") ) ) generate -------------------------------------------------------------------------- -- Constant Declarations -------------------------------------------------------------------------- -------------------------------------------------------------------------- -- Signal Declarations -------------------------------------------------------------------------- signal addr_i_1 : std_logic_vector(3 downto 0); signal buffer_Full_1 : std_logic; signal next_buffer_Full_1 : std_logic; signal next_Data_Exists_1 : std_logic; signal data_Exists_I_1 : std_logic; signal FIFO_Write_1 : std_logic; signal Data_In_1 : std_logic_vector(0 to C_DWIDTH-1); signal FIFO_Read_1 : std_logic; signal Data_Out_1 : std_logic_vector(0 to C_DWIDTH-1); signal addr_i_2 : std_logic_vector(3 downto 0); signal buffer_Full_2 : std_logic; signal next_buffer_Full_2 : std_logic; signal next_Data_Exists_2 : std_logic; signal data_Exists_I_2 : std_logic; signal FIFO_Write_2 : std_logic; signal Data_In_2 : std_logic_vector(0 to C_DWIDTH-1); signal FIFO_Read_2 : std_logic; signal Data_Out_2 : std_logic_vector(0 to C_DWIDTH-1); signal addr_i_3 : std_logic_vector(3 downto 0); signal buffer_Full_3 : std_logic; signal next_buffer_Full_3 : std_logic; signal next_Data_Exists_3 : std_logic; signal data_Exists_I_3 : std_logic; signal FIFO_Write_3 : std_logic; signal Data_In_3 : std_logic_vector(0 to C_DWIDTH-1); signal FIFO_Read_3 : std_logic; signal Data_Out_3 : std_logic_vector(0 to C_DWIDTH-1); signal addr_i_4 : std_logic_vector(3 downto 0); signal buffer_Full_4 : std_logic; signal next_buffer_Full_4 : std_logic; signal next_Data_Exists_4 : std_logic; signal data_Exists_I_4 : std_logic; signal FIFO_Write_4 : std_logic; signal Data_In_4 : std_logic_vector(0 to C_DWIDTH-1); signal FIFO_Read_4 : std_logic; signal Data_Out_4 : std_logic_vector(0 to C_DWIDTH-1); -------------------------------------------------------------------------- -- Component Declarations -------------------------------------------------------------------------- component SRL16E is -- pragma translate_off generic ( INIT : bit_vector := X"0000" ); -- pragma translate_on port ( CE : in std_logic; D : in std_logic; Clk : in std_logic; A0 : in std_logic; A1 : in std_logic; A2 : in std_logic; A3 : in std_logic; Q : out std_logic ); end component SRL16E; component FDR is port ( Q : out std_logic; C : in std_logic; D : in std_logic; R : in std_logic ); end component FDR; -------------------------------------------------------------------------- -- Begin for Generate -------------------------------------------------------------------------- begin -------------------------------------------------------------------------- -- Concurrent Signal Assignments -------------------------------------------------------------------------- FIFO_Write_1 <= FIFO_Write; FIFO_Read_1 <= FIFO_Read; FIFO_Write_2 <= FIFO_Write and buffer_Full_1; FIFO_Read_2 <= FIFO_Read; FIFO_Write_3 <= FIFO_Write and buffer_Full_2; FIFO_Read_3 <= FIFO_Read; FIFO_Write_4 <= FIFO_Write and buffer_Full_3; FIFO_Read_4 <= FIFO_Read; Data_In_1 <= Data_In; Data_In_2 <= Data_Out_1; Data_In_3 <= Data_Out_2; Data_In_4 <= Data_Out_3; FIFO_Full <= buffer_Full_4; next_buffer_Full_1 <= '1' when (addr_i_1 = "1111") else '0'; next_buffer_Full_2 <= '1' when (addr_i_2 = "1111") else '0'; next_buffer_Full_3 <= '1' when (addr_i_3 = "1111") else '0'; next_buffer_Full_4 <= '1' when (addr_i_4 = "1111") else '0'; next_Data_Exists_1 <= ((FIFO_Write and not(FIFO_Read) and not(addr_i_1(0)) and not(addr_i_1(1)) and not(addr_i_1(2)) and not(addr_i_1(3))) or data_Exists_I_1) and not(FIFO_Read and not(FIFO_Write) and not(addr_i_1(0)) and not(addr_i_1(1)) and not (addr_i_1(2)) and not(addr_i_1(3))); next_Data_Exists_2 <= ((FIFO_Write and not(FIFO_Read) and not(addr_i_2(0)) and not(addr_i_2(1)) and not(addr_i_2(2)) and not(addr_i_2(3)) and (buffer_Full_1)) or data_Exists_I_2) and not(FIFO_Read and not(FIFO_Write) and not(addr_i_2(0)) and not(addr_i_2(1)) and not (addr_i_2(2)) and not(addr_i_2(3))); next_Data_Exists_3 <= ((FIFO_Write and not(FIFO_Read) and not(addr_i_3(0)) and not(addr_i_3(1)) and not(addr_i_3(2)) and not (addr_i_3(3)) and (buffer_Full_2)) or data_Exists_I_3) and not(FIFO_Read and not(FIFO_Write) and not (addr_i_3(0)) and not(addr_i_3(1)) and not (addr_i_3(2)) and not(addr_i_3(3))); next_Data_Exists_4 <= ((FIFO_Write and not(FIFO_Read) and not(addr_i_4(0)) and not(addr_i_4(1)) and not(addr_i_4(2)) and not (addr_i_4(3)) and (buffer_Full_3)) or data_Exists_I_4) and not(FIFO_Read and not(FIFO_Write) and not(addr_i_4(0)) and not(addr_i_4(1)) and not(addr_i_4(2)) and not(addr_i_4(3))); data_Exists <= data_Exists_I_1; Data_Out <= Data_Out_4 when (data_Exists_I_4 = '1') else Data_Out_3 when (data_Exists_I_3 = '1') else Data_Out_2 when (data_Exists_I_2 = '1') else Data_Out_1; FIFO_Empty <= not data_Exists_I_1; -------------------------------------------------------------------------- -- Address Processes -------------------------------------------------------------------------- ADDRS_1 : process (Clk) begin if (clk'event and clk = '1') then if (Reset = '1') then addr_i_1 <= "0000"; elsif ((buffer_Full_1='0') and (FIFO_Write='1') and (FIFO_Read='0') and (data_Exists_I_1='1')) then addr_i_1 <= addr_i_1 + 1; elsif (not(addr_i_1 = "0000") and (FIFO_Read='1') and (FIFO_Write='0') and (data_Exists_I_2='0')) then addr_i_1 <= addr_i_1 - 1; else null; end if; end if; end process; ADDRS_2 : process (Clk) begin if (clk'event and clk = '1') then if (Reset = '1') then addr_i_2 <= "0000"; elsif ((buffer_Full_2='0') and (FIFO_Write = '1') and (FIFO_Read = '0') and (buffer_Full_1 = '1') and (data_Exists_I_2='1')) then addr_i_2 <= addr_i_2 + 1; elsif (not(addr_i_2 = "0000") and (FIFO_Read = '1') and (FIFO_Write = '0') and (data_Exists_I_3='0')) then addr_i_2 <= addr_i_2 - 1; else null; end if; end if; end process; ADDRS_3 : process (Clk) begin if (clk'event and clk = '1') then if (Reset = '1') then addr_i_3 <= "0000"; elsif ((buffer_Full_3='0') and (FIFO_Write = '1') and (FIFO_Read = '0') and (buffer_Full_2 = '1') and (data_Exists_I_3='1')) then addr_i_3 <= addr_i_3 + 1; elsif (not(addr_i_3 = "0000") and (FIFO_Read = '1') and (FIFO_Write = '0') and (data_Exists_I_4='0')) then addr_i_3 <= addr_i_3 - 1; else null; end if; end if; end process; ADDRS_4 : process (Clk) begin if (clk'event and clk = '1') then if (Reset = '1') then addr_i_4 <= "0000"; elsif ((buffer_Full_4='0') and (FIFO_Write = '1') and (FIFO_Read = '0') and (buffer_Full_3 = '1') and (data_Exists_I_4='1')) then addr_i_4 <= addr_i_4 + 1; elsif (not(addr_i_4 = "0000") and (FIFO_Read = '1') and (FIFO_Write = '0')) then addr_i_4 <= addr_i_4 - 1; else null; end if; end if; end process; ADDR_OUT : process (addr_i_1, addr_i_2, addr_i_3, addr_i_4, data_Exists_I_2, data_Exists_I_3, data_Exists_I_4) begin if ( (data_Exists_I_2 = '0') and (data_Exists_I_3 = '0') and (data_Exists_I_4 = '0') ) then Addr <= "00" & addr_i_1; elsif ( (data_Exists_I_3 = '0') and (data_Exists_I_4 = '0') ) then Addr <= "01" & addr_i_2; elsif ( (data_Exists_I_4 = '0') ) then Addr <= "10" & addr_i_3; else Addr <= "11" & addr_i_4; end if; end process; -------------------------------------------------------------------------- -- Data Exists Instances -------------------------------------------------------------------------- DATA_EXISTS_1_DFF : FDR port map ( Q => data_Exists_I_1, -- [out std_logic] C => Clk, -- [in std_logic] D => next_Data_Exists_1, -- [in std_logic] R => Reset -- [in std_logic] ); DATA_EXISTS_2_DFF : FDR port map ( Q => data_Exists_I_2, -- [out std_logic] C => Clk, -- [in std_logic] D => next_Data_Exists_2, -- [in std_logic] R => Reset -- [in std_logic] ); DATA_EXISTS_3_DFF : FDR port map ( Q => data_Exists_I_3, -- [out std_logic] C => Clk, -- [in std_logic] D => next_Data_Exists_3, -- [in std_logic] R => Reset -- [in std_logic] ); DATA_EXISTS_4_DFF : FDR port map ( Q => data_Exists_I_4, -- [out std_logic] C => Clk, -- [in std_logic] D => next_Data_Exists_4, -- [in std_logic] R => Reset -- [in std_logic] ); -------------------------------------------------------------------------- -- Buffer Full Instances -------------------------------------------------------------------------- BUFFER_FULL_1_DFF : FDR port map ( Q => buffer_Full_1, -- [out std_logic] C => Clk, -- [in std_logic] D => next_buffer_Full_1, -- [in std_logic] R => Reset -- [in std_logic] ); BUFFER_FULL_2_DFF : FDR port map ( Q => buffer_Full_2, -- [out std_logic] C => Clk, -- [in std_logic] D => next_buffer_Full_2, -- [in std_logic] R => Reset -- [in std_logic] ); BUFFER_FULL_3_DFF : FDR port map ( Q => buffer_Full_3, -- [out std_logic] C => Clk, -- [in std_logic] D => next_buffer_Full_3, -- [in std_logic] R => Reset -- [in std_logic] ); BUFFER_FULL_4_DFF : FDR port map ( Q => buffer_Full_4, -- [out std_logic] C => Clk, -- [in std_logic] D => next_buffer_Full_4, -- [in std_logic] R => Reset -- [in std_logic] ); -------------------------------------------------------------------------- -- GENERATE FIFO RAMS -------------------------------------------------------------------------- FIFO_RAM_1 : for I in 0 to C_DWIDTH-1 generate SRL16E_I : SRL16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( CE => FIFO_Write_1, -- [in std_logic] D => Data_In_1(I), -- [in std_logic] Clk => Clk, -- [in std_logic] A0 => addr_i_1(0), -- [in std_logic] A1 => addr_i_1(1), -- [in std_logic] A2 => addr_i_1(2), -- [in std_logic] A3 => addr_i_1(3), -- [in std_logic] Q => Data_Out_1(I) -- [out std_logic] ); end generate FIFO_RAM_1; FIFO_RAM_2 : for I in 0 to C_DWIDTH-1 generate SRL16E_I : SRL16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( CE => FIFO_Write_2, -- [in std_logic] D => Data_In_2(I), -- [in std_logic] Clk => Clk, -- [in std_logic] A0 => addr_i_2(0), -- [in std_logic] A1 => addr_i_2(1), -- [in std_logic] A2 => addr_i_2(2), -- [in std_logic] A3 => addr_i_2(3), -- [in std_logic] Q => Data_Out_2(I) -- [out std_logic] ); end generate FIFO_RAM_2; FIFO_RAM_3 : for I in 0 to C_DWIDTH-1 generate SRL16E_I : SRL16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( CE => FIFO_Write_3, -- [in std_logic] D => Data_In_3(I), -- [in std_logic] Clk => Clk, -- [in std_logic] A0 => addr_i_3(0), -- [in std_logic] A1 => addr_i_3(1), -- [in std_logic] A2 => addr_i_3(2), -- [in std_logic] A3 => addr_i_3(3), -- [in std_logic] Q => Data_Out_3(I) -- [out std_logic] ); end generate FIFO_RAM_3; FIFO_RAM_4 : for I in 0 to C_DWIDTH-1 generate SRL16E_I : SRL16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( CE => FIFO_Write_4, -- [in std_logic] D => Data_In_4(I), -- [in std_logic] Clk => Clk, -- [in std_logic] A0 => addr_i_4(0), -- [in std_logic] A1 => addr_i_4(1), -- [in std_logic] A2 => addr_i_4(2), -- [in std_logic] A3 => addr_i_4(3), -- [in std_logic] Q => Data_Out_4(I) -- [out std_logic] ); end generate FIFO_RAM_4; end generate; ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ -- GENERATE FOR C_DEPTH GREATER THAN 32, LESS THAN 65, -- AND VIRTEX-2 AND NEWER FAMILIES ------------------------------------------------------------------------------ ------------------------------------------------------------------------------ C_DEPTH_32_64_V2 : if ( (C_DEPTH > 32) and (C_DEPTH < 65) and ( equalIgnoreCase(C_FAMILY,"virtex2") or equalIgnoreCase(C_FAMILY,"virtex2p") or equalIgnoreCase(C_FAMILY,"virtex4") ) ) generate -------------------------------------------------------------------------- -- Constant Declarations -------------------------------------------------------------------------- constant DEPTH : std_logic_vector(0 to 5) := conv_std_logic_vector(C_DEPTH-1,6); -------------------------------------------------------------------------- -- Signal Declarations -------------------------------------------------------------------------- signal addr_i : std_logic_vector(0 to 5); signal buffer_Full : std_logic; signal buffer_Empty : std_logic; signal next_Data_Exists : std_logic; signal data_Exists_I : std_logic; signal valid_Write : std_logic; signal hsum_A : std_logic_vector(0 to 5); signal sum_A : std_logic_vector(0 to 5); signal addr_cy : std_logic_vector(0 to 6); signal D_Out_ls_1 : std_logic_vector(0 to C_DWIDTH-1); signal D_Out_ls_2 : std_logic_vector(0 to C_DWIDTH-1); signal D_Out_ls_3 : std_logic_vector(0 to C_DWIDTH-1); signal D_Out_ms : std_logic_vector(0 to C_DWIDTH-1); signal Data_O_ls : std_logic_vector(0 to C_DWIDTH-1); signal Data_O_ms : std_logic_vector(0 to C_DWIDTH-1); signal q15_1 : std_logic_vector(0 to C_DWIDTH-1); signal q15_2 : std_logic_vector(0 to C_DWIDTH-1); signal q15_3 : std_logic_vector(0 to C_DWIDTH-1); -------------------------------------------------------------------------- -- Component Declarations -------------------------------------------------------------------------- component SRL16E is -- pragma translate_off generic ( INIT : bit_vector := X"0000" ); -- pragma translate_on port ( CE : in std_logic; D : in std_logic; Clk : in std_logic; A0 : in std_logic; A1 : in std_logic; A2 : in std_logic; A3 : in std_logic; Q : out std_logic ); end component SRL16E; component MUXCY_L port ( DI : in std_logic; CI : in std_logic; S : in std_logic; LO : out std_logic ); end component; component XORCY port ( LI : in std_logic; CI : in std_logic; O : out std_logic ); end component; component FDRE is port ( Q : out std_logic; C : in std_logic; CE : in std_logic; D : in std_logic; R : in std_logic ); end component FDRE; component FDR is port ( Q : out std_logic; C : in std_logic; D : in std_logic; R : in std_logic ); end component FDR; component MUXF5 port ( O : out std_logic; I0 : in std_logic; I1 : in std_logic; S : in std_logic ); end component; component MUXF6 port ( O : out std_logic; I0 : in std_logic; I1 : in std_logic; S : in std_logic ); end component; component SRLC16E -- pragma translate_off generic ( INIT : bit_vector := X"0000" ); -- pragma translate_on port ( Q : out std_logic; Q15 : out std_logic; A0 : in std_logic; A1 : in std_logic; A2 : in std_logic; A3 : in std_logic; CE : in std_logic; CLK : in std_logic; D : in std_logic ); end component; -- XST WA for CR183399 component LUT3 generic( INIT : bit_vector := X"0" ); port( O : out std_ulogic; I0 : in std_ulogic; I1 : in std_ulogic; I2 : in std_ulogic ); end component; -------------------------------------------------------------------------- -- Begin for Generate -------------------------------------------------------------------------- begin -------------------------------------------------------------------------- -- Concurrent Signal Assignments -------------------------------------------------------------------------- -- buffer_Full <= '1' when (addr_i = "11111") else '0'; buffer_Full <= '1' when (addr_i(0) = DEPTH(5) and addr_i(1) = DEPTH(4) and addr_i(2) = DEPTH(3) and addr_i(3) = DEPTH(2) and addr_i(4) = DEPTH(1) and addr_i(5) = DEPTH(0) ) else '0'; FIFO_Full <= buffer_Full; buffer_Empty <= '1' when (addr_i = "000000") else '0'; FIFO_Empty <= not data_Exists_I; -- generate a true empty flag with no delay -- was buffer_Empty, which had a clock dly next_Data_Exists <= (data_Exists_I and not buffer_Empty) or (buffer_Empty and FIFO_Write) or (data_Exists_I and not FIFO_Read); Data_Exists <= data_Exists_I; addr_cy(0) <= valid_Write; -------------------------------------------------------------------------- -- Data Exists DFF Instance -------------------------------------------------------------------------- Data_Exists_DFF : FDR port map ( Q => data_Exists_I, -- [out std_logic] C => Clk, -- [in std_logic] D => next_Data_Exists, -- [in std_logic] R => Reset -- [in std_logic] ); -------------------------------------------------------------------------- -- Valid Write LUT Instance -------------------------------------------------------------------------- -- XST CR183399 WA -- valid_Write <= FIFO_Write and (FIFO_Read or not buffer_Full); VALID_WRITE_I : LUT3 generic map ( INIT => X"8A" ) port map ( O => valid_Write, -- [out std_logic] I0 => FIFO_Write, -- [in std_logic] I1 => FIFO_Read, -- [in std_logic] I2 => buffer_Full -- [in std_logic] ); --END XST WA for CR183399 -------------------------------------------------------------------------- -- GENERATE ADDRESS COUNTERS -------------------------------------------------------------------------- ADDR_COUNTERS : for i in 0 to 5 generate hsum_A(I) <= (FIFO_Read xor addr_i(I)) and (FIFO_Write or not buffer_Empty); MUXCY_L_I : MUXCY_L port map ( DI => addr_i(i), -- [in std_logic] CI => addr_cy(i), -- [in std_logic] S => hsum_A(i), -- [in std_logic] LO => addr_cy(i+1) -- [out std_logic] ); XORCY_I : XORCY port map ( LI => hsum_A(i), -- [in std_logic] CI => addr_cy(i), -- [in std_logic] O => sum_A(i) -- [out std_logic] ); FDRE_I : FDRE port map ( Q => addr_i(i), -- [out std_logic] C => Clk, -- [in std_logic] CE => data_Exists_i, -- [in std_logic] D => sum_A(i), -- [in std_logic] R => Reset -- [in std_logic] ); end generate ADDR_COUNTERS; -------------------------------------------------------------------------- -- GENERATE FIFO RAMS -------------------------------------------------------------------------- FIFO_RAM : for i in 0 to C_DWIDTH-1 generate SRLC16E_LS1 : SRLC16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( Q => D_Out_ls_1(i), --[out] Q15 => q15_1(i), --[out] A0 => addr_i(0), --[in] A1 => addr_i(1), --[in] A2 => addr_i(2), --[in] A3 => addr_i(3), --[in] CE => valid_Write, --[in] CLK => Clk, --[in] D => Data_In(i) --[in] ); SRLC16E_LS2 : SRLC16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( Q => D_Out_ls_2(i), --[out] Q15 => q15_2(i), --[out] A0 => addr_i(0), --[in] A1 => addr_i(1), --[in] A2 => addr_i(2), --[in] A3 => addr_i(3), --[in] CE => valid_Write, --[in] CLK => Clk, --[in] D => q15_1(i) --[in] ); MUXF5_LS: MUXF5 port map ( O => Data_O_LS(i), --[out] I0 => D_Out_ls_1(I), --[in] I1 => D_Out_ls_2(I), --[in] S => addr_i(4) --[in] ); SRLC16E_LS3 : SRLC16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( Q => D_Out_ls_3(i), --[out] Q15 => q15_3(i), --[out] A0 => addr_i(0), --[in] A1 => addr_i(1), --[in] A2 => addr_i(2), --[in] A3 => addr_i(3), --[in] CE => valid_Write, --[in] CLK => Clk, --[in] D => q15_2(i) --[in] ); SRL16E_MS : SRL16E -- pragma translate_off generic map ( INIT => x"0000" ) -- pragma translate_on port map ( CE => valid_Write, --[in] D => q15_3(i), --[in] Clk => Clk, --[in] A0 => addr_i(0), --[in] A1 => addr_i(1), --[in] A2 => addr_i(2), --[in] A3 => addr_i(3), --[in] Q => D_Out_ms(I) --[out] ); MUXF5_MS: MUXF5 port map ( O => Data_O_MS(i), --[out] I0 => D_Out_ls_3(i), --[in] I1 => D_Out_ms(i), --[in] S => addr_i(4) --[in] ); MUXF6_I: MUXF6 port map ( O => Data_out(i), --[out] I0 => Data_O_ls(i), --[in] I1 => Data_O_ms(i), --[in] S => addr_i(5) --[in] ); end generate FIFO_RAM; -------------------------------------------------------------------------- -- INT_ADDR_PROCESS -------------------------------------------------------------------------- -- This process assigns the internal address to the output port -------------------------------------------------------------------------- INT_ADDR_PROCESS:process (addr_i) begin for i in Addr'range loop Addr(i) <= addr_i(5 - i); -- flip the bits to account for srl16 addr end loop; end process; end generate; end architecture imp;
mit
HighlandersFRC/fpga
led_string_no_gpio/led_string.srcs/sources_1/bd/zynq_1/ip/zynq_1_auto_pc_15/fifo_generator_v11_0/ramfifo/updn_cntr.vhd
19
10193
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block MpZqUX7RHqqBov6r9sp19cCgAmwWMQKz/kilwg6KfQHVNd7thNhiMjNr9jWB5lhCnXS2Dmq96KWe V2+V1FG8hw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block eHZEt9aF2k9bUkzJgCuA+q4yfEhMdqCEDNKyWFDaQseZ/ofqbFQAQc2uVVXTRkEXQs+GrviVm+j7 2wxr0JrS1Xw60RqMKKhLpfqRVe2BmFAKgU2BRL0PnA5WtTOSGCOmSJGfPa08juK1otVgwc2Gzis9 06D0/bVknfjjRpJI8Po= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block s0TU3tsqHiK9WgquIx4poaAXQ17I+2l5Vqn12DnbEwMyPpn0YeINJkDaKFxRf41aPK1Wkun6v9Z/ YYZDqYBgVO9Z0NMkbD4LC5C9cZSBdk4ezqdUWACnMS4IR+6qI0nvPM6pNZernzgmYtMGFsG0h7AO 2CLMNIzANr+bYhHkAqpdx/KPtV7Deh8xOAkQeNSD+8rjhU0z6Gg+2FjdPjkTgWwsP8xrTSENuxiw xPh+QM3dvd2tDQbC1sSMu3CzeLQh9mMzJ/R1uFQDv4VC1TFFFPI7VMPMlrl3y0ondyZNERO3SeHy Mn6aVbKjlR68QJuFwdsz80LSh3ZTJ+foTk16ug== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block uIfIqnJL93Nk48nDUNvQ46MGSw+0jZe8QEp6D5vC3ytHCm6yvGspxOPTR0O/6R1kGtbYGX5AVD6b KvoAJRDP7Wr2E6PTOWfFxWtEHCKiApDz7UksHM1gqF0d7SCMfsYR0KKn9LnLJiQxmEJD5y64ve5y 9s0qEeMi9k4HxMVPc9k= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block XH+fS8ngHwfDFxF50DT7MdOHeXbY/uKmg7Eva1j7eQ+2X+a34Rn17d34wKLf1Z56AIT4ksXzo17E WT5KT9rKAQNao71yUm+YQAunOwqKEPRyxOz3bb+3Zvx3y9p+F7xTeZFLan3KtqwByX5rGkNJtGjN oI8H+T5FEpTIirQ9oxghooMSVVhKX8RsayssyrgajR3SSX0Q0ggoCOy3XtjsFKfrcDNlt7iEsMAt +8vV+volJUxGGSYbt9ATDx7fk+pYKVnFR1jV5fEpxyqiZQoGjkjsnbN29jqgiZBfhyEe2uAb7sF2 RnfrEGY96pFoR0k3gse3XEc9radVftI75N7ROg== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 5808) `protect data_block wSnbWrCNlW89Hl8c5qLI8x5XsG8/CghupqMtsGERdMSXa3EK5J/Qit0WHm+njR821JFwXT565GTk PfQmbPHqNCS0UKLtcdc3PZz0/PLyHx2I+i3o31d/LEWCSvVej8q9Im/IsuTfRijqwwpHV38mRUJu zFppdNstRebIZC07b2wx4/Zw/EX4cSUu0lNqeHBvLS2bm6IdBe4MgzTchruIq08TrolYM2Pec74I 8AurMryqYhC6o/Ybr8S5oyAQKm3bDPQMozGLd2GswnXOpVxdQR7+Hcyfq/5aTzsLwGcNe2JCa9i8 0p/PpVMLrZWBL9KT3BXC7LiYyvbQaSj7GlTH5LlBKPsT/zboxVe8l8P0bRe4dyxRXzeeXPmsxiOF 0/97i6LbZCS1yzEDwEIGqWsQfBYSuYjMhqx8QLIPe7l4MS6pMtVm1wAwbZnR8MvKCKwrridhlL0a sYEM4o5StHOo/sLWgJlTvYzV4wBL1kYSyuAWv5J2XUHvmseGIdNHnQk/EHV2Q8USm6z0OKXDAyPU Sh9aHmD9LCdkDiyrAJGrai5dRFUJ3Ddo8PUjEdkVX5acXglzprK5M9di71HwWMt5aZ0Wi/SF68sY UXFKCBlotPMyX1Rn9f+qiGldR2tYWjyGjaeTqzgFYeTDOxuNZ9gO/D+s8NmGVG7VaSGpNswKgdiP NbcOO8Nq2ovne7Rfr6W5Gcc6ZaQI3aXrPm5aRP+LkyT5kSCO1bNOJ4X/klsW3zGGL8Vj3wS0zdci 2dUa6AaFKd12zun70jAFPzUE5cTTAbFsMtClV9Pq9x/yrZt1elEvkGg9M4qPjj/U3+L0VPjb3Mh4 jcxEwGjb4ogTCeX0kg2z+xYoihuXrU3c07HF8yg2tM4y6HagSoYplt/3TuLuBovINEnhdIW7+Wo7 wwEIEDtWtG468YEvpPnMVZL8DQPbEFRaN7ggyg3ajrUmGdEtPcRMeD9jTiRqin2dbsO0Awpz2Rw2 fX2w6bcZuUP3r1GAVYOP/fx8tPq58+IOCQkm0F65Rto25RJaO57YXZxa+tdHA9BBpp6EA37TfFhe GGQoH92qkzX94C97QPn9a0uRzBIZzUXMXXZUhEbG1W309NbQetXemgpFw0Te23Dj2PSYua5lmUIm 3lYjodOPINOD7P8upsOuPgxvF0mVRPbv1EtF7G1dl7MYCqLDh+ES1/GE4C+Q3Glrcgn2xP4XJJjJ VSXnkskBosP/n19w6EzI7LlEFn6VupIkTa2s91ujn8dFvwNjW3eu7SqSR7kPuoQT/uUctwSnLu0B 1r6df9edkDQmkEkI8rbERFx6Xy410GK4t6e1wnHkXzpSwqPwbb/h2F8z9sZH90KSbm2x4hPW4uaS Cpfk2AdWjIYpUyB9uWvujYFhEYu2FhnpepEbo0UqnGmi7nY8Bcipe/uJWMfUd0tkMxmrDDMY/PgD 8/nodOpNOcJA1euM2HklIOvK74fGp5ZEip2nXGGNBVL/YnpS4W8+dyRYe/Ai0+0mVOHcBt+vqKBw A6xOkZcouLNPHR/tA5z+ThOnUd0NvslK1FY7BB1Vgfu4AhPX79e6f9H7HRW/WWBDso6MpASN7NQn ZqJcZkPN7WmHcKT+Be9B4glpqx5Bb+BqHR1RsFwCRRTzrj+8JppUwrLiiEyAhcksWOXkQSpd5DRL Igyh4e8icsYXhfVEW+rPAcgvsiFGBrIrJ0vupk7WkN7kFwNH9kgNup7/Dvv+UgDQI9Bp3wNE8/vJ Qw3rYD7p/QbTvtEPzrqm5oLEXRObv9Iars8jrsnwJQi9JCHfEvy/Zpq7fmkvAPq+ze9/1ajaSej+ j8xVFpMSiiYQ8C0nvWWcFqVe+3yzBm1j6R57EkF7SZlh7OLrqBEv9bygNvk7l025TgL9LIVDPtkX AlMWZfEJ2bXrWqUkDD1+wTYjPXQUvoTrKab8t5wyWg8SVVQbRiCT5+MP8ShfKgaDvuV/40VELz+p LihJQfbg2IdRC29XBGeVnlhwhSPpE3KXVCPl5ZjwgXc6cS7OVwBn50JIy0lErtdqdAopRtXyoANC +nsV0+rFq3JCsEAXrsfTW2yoXrMnoABqY+V6Rv4C/wd4i1aoAMp+sgKgVMVpRA7QlBRLoCAjzrF/ jiPqfrpE9WM2yNPW/P1v73UQCOitYKQmeKE5D0VnfbB8yrlhKYElulMkI+0tfSdxJB5+tVTI8RTI J46CsXxjPoYHQkhtZuYUWmWXcgH3D9kf8iFub7ZKZHgDz9BFBh7gyRXXyX5Zdo1uhhMjH8nBUDoQ mEMbPjVIvmmCf33HGlROPfG+avNhyVz570/9XjJMOvOJPU3HlBtSQoE6zs33xFyJCOObvzcQCJG2 aZVtSEfPBbUVI3IWTMBpkMKU4gQEbBiNQdqnmfjLvOcIJ4pag2zIOoGa23QbGC5fk3DNCZlljHhu l1EayU8CQCoFW5R49Dba7Ic5Wb5vxEwLpssaqCPKMKDyBL9dh4GZKsLpTYlHcaRYCRocL0LrTLjY cxFBmOuv+2gCj6z8lXG5NY/0kNQcd/+LOsYvvMAP7tGvQYm3SNRPReBZIfbx1NseTxLuLb/da/KJ N1ZyzGrugnyChiV2/k0XRoozzu3i9tZ8L+soqLnZv0dPV+b9HBCugg/yQ1m6f4910Twi1nEzBs/B QbF3VWpcOGoUm5p9fcILVRe9gk2fVh7JyM8dBsVi1HwJMcnxoUuWCzLqXgRVU5pF4z5QxQOim6M/ /gPWCuhV+pvogyEUrpH14U+mycKeMMXGogT0hRppCovDZgDavSlp1nlPe2kl47Q3NB6fH9/+ekOJ rNWIEJtw/77kqXnQYQGr2guqvZqnyUZ14+ONEmBPeZHm8jhW+UQHsRk61zLNaxrJSf0XPNuV58nK fAiB2yUy0TpzQ+qcuwjBUEoIxDqhO+K9nnPJUhSOfxzk1OPTkZxMhr9KId88i8v9DzWJyNHvIaLN KOzhFFRDn1LO49iqeZfabx0Fqu9jj+R1xG9jLMReOz/+EVcEopTnSen2SgOBR+yFMDHc4bcJl1bu 8StrXNQOHG9CcVaWTTyfM6VUdC+YhI+gq2IUykfnqv8BNOq9FcwGKI1rBrnZKIarvOt7Ox+4O4W7 6fLp4OC11RL4jemMTFekYNM3+bwko4NZOcE9Hgh/IgzS3D/vg9wOO5qoPm0WMTTyBU4tEbEK9TMR 0C6b76r4WraPe/w6cDZKU8et8pdhftc393/xONVo6yQp22BrW7W7shIFBU/ye+iXTiK3omLftWv2 UUaY4uZJ19Pj1KKi7m+C5BFEKaDafpbVmdgdtN/OG3BMY015mHf9DawcUE/4P4vh9mJTMsXl0a7G owb/SKrLWo1SO6tiXczT6dlzLaberrflmdPWOzxRVT4g+kth93PhesenGDq4O7uf8e+tIRQ7opSb TiwR9kCP9BekwiYg2fT72UFGozMOL8/HNhjWMBSl/jMQxP4edpH9rQz/vUA8GF/ixNDDrPrNoLes yXC1prvqJIYsrfrdzaoCYild0p1R4CemRPopfqqwJRXxwwLDWFksfqKxLvvZz8JA0uz70LSSQmEi YOtBnoHakvM9/yFjprI9oEAEKtOoK/0N0Hv6zNHyp/UbMX9O0JF6iDemf7RvyqWu0Y+pza5M4CGw x01VtrxVlxmGc941ZsBmH0tD3AaSydL6wVhzhd2Ujo/KYpSRUgTfNMdxZLLwFZBidyKc5CHmlnmi PIwqw7VvRfsGsqQwHSDNSciJ9/nApAViPFTxDTiPzfFRjX8VmB0gHdil5x/4jSpQ+l24n5C4l7S4 K0LWz7DeDZLjDBMXlU3O3ZR4KhkYMjdlw37mjVjOK6W+339Dgz2Ft4qzXqKUA/ZGY6wJeJMHJwcv aIwSG3SzixxwbKT7ueRbtrLPsvdHmZIF9b8ZOxypm1BXKxuZ8ZO5z5zCb5RnhkWoouZMRYexuBCN K8bVb0DXbBLVx42pjwg2d9Rstqv3KMLxkIVyaH1+pBMH9o0tXtEqEaZhlDd69RoFbrxeEJAB2Z3S qSb9yO1/UCIOes0WnZjgdxBb8a+NyHIzrylK70oua43cGVTGmHToqQavumxBhXl6QAP+jGP0HyqJ ZKLTg+eeGsNb4jVzG0ND/UVOQZVtIqGq+/BJqQbY7fnLi6vb4OZkTYkIpYmLDrN9i3T3Zv5wkIhb bFesC6DtCFJEb8EYYun7JZ2+mblPfsNLQmcC/Ra8eOvjNxPoGJshRr+v6dS2UOgHaILWxRlA+7E/ pdsfzU/J6zLpCHyoZ5EbtqKkyOgI0H8ImG4VAfR+YHdkaGhz5pPzdInbIldNl8n9kTwjCvoytVhZ auX5mrq5AYrRXY9aqIvHg0NPGYt5fG57KPBLGhu4QLzil54zV07mUQ6PaZ+TtU6vBJeUnyzfRw5p gSPrnGub3hbkGy7oaFINsdoIM4vYhdp80TFNLKatx4RpkJ2p3JnA1+rAZbpMnbDkcdvZTvBfXuWV EAUeFdop6EElXsHK2sBAY0I+jHxjhL8v+uydJ0Mtu/24RnYebsamFVu54ODcmWfaqS73dBFUyHCG f7cccuQHZrQPzd5l6tZFcwImkB7EkS9DKsMfjAAm8Ly6IDDLdvRGP8MTyKz9ZYllt4RCtD7d51KE LMZ8aBk2rTCWdIM3DGxYViDzx+MQO/beexzZni6QLoXaOcxO0ZtAm6jelK/Z+qJWy2ZHwXcjPXSq UIfzCjDYNuvLLzdzZfOja+8xp9qqlSEgwZxJT5/oy8A3/DhqdmXDWJE37T4eZjwb4j8ZA/Z8/DZX ruVB/k8qzPfFtH876p4hhQlqjaFqmWxQ/zBevroLloNqPXX8g5EoAI9FC0LiWrx/3bDu+Q53rUw3 p3HpQ3KgpZGDvkm1ilulVN54SEHyPH5pUsZ7kdfw0EiTKryaggETK8yvZD5564bQ3mYs1TzAt3FT oF5JnnN/WUgqBSKnUAjM986kAdUn2ssD3wCfAWgRjog+wY1+wzirK14hFUKZ4YQSpMc8kQOvV6L/ xMSmpnUpImOke4fnILUTJ/q1smzXIaoUDvZATHHIqfODxvu9jjxxd0yS/e6N8kq+t9Aqs4QhvGNe K3hO9U9r2pd+GmqMA22Ne023T+xq/5031gKYMbWkKSsIcU21m44ATTMES0/5o5AsnF0QC4EGIxcU 06pAUhhrbe2sCw1fetB/x6GoS6egWvLAoWcfnqdHFyIHkvtvxBX7LlkeILavAFQWkjksihKG1DOz JX2fvTBRFPOThKHMgOMxC7XpMInLlcKv8queRGcTkuRRI84kOL14ho6OScq/8JsdFLSvxASR+aJ3 Rgmh8CrClSueKZJqXMvOeXAySGovmAPQuVRaEEvNrrWTsw3Y/YQX6HxhMYwuKLPtYd255vg6KUom ztcIVOK5YFLO5qEZhys5Y/tXoXCkmMRV3A/5VKRbyWdf4OzVCzV5h6KCJs4dyBXcNC3AzXl3t2lQ vAaoYx7ti0w5NyNphC4AXnZj2YUT0ZLOIq/xE9ex5ABHj2fnbSsnJ66jIhozsKbxLA7KimDYysLi HaVCqoP8IdrV2WX15TabZPyZ93dXqp1EFgqDqvkYyyyTx1qyYHNWBZHBST7Epayt+nn8hecgtsu3 GpolOkp0Uyfn/dR/1D0piqKzuM55CNlQPg6YU1sqDpyLVoH+07EGLcd9DT6wYaQe3nIf1sWEiV8f eB2GdF1SG8nsHtclUfWE3SDikn99uuQUpKx3Dmi434KtWCRBhhkixNpGY1mL8v3PkGq+aV61TYn9 eXzOyO6wB73aylUtgdxeQ9sA3o0oCCEdN897mfJtJJ7O+AuS4RUTVTm1Lr6CFsIBecq3Ygi6bqJS eaXlsFpOO57BydJDP6HiY9gxAIJ48+iFPvpW3gq9FzMFHwvz7UWXwAFsLAtox4lkiWcHdXn9ocnX 0UsArnpTwehW6tQr4SU553YuML77wavoaN8iPIgRXu/tGnSFqEW3Hu1MXfd5Ml/AkJwslvD8qa2C LaCXQe1fQ4mw5cnmKwRn3WLyfh1n2dV2zbKjVXEUlW0VIiaUvSmHNbST9FKA+HXoj8YquE35oGLj GpybA7Vm4/GUxixUmH0M/6B+GL/kRnyeRVCyuXEcVMZFrdsOp9a/l5fjrSFLJ/9PhyHHhqXbzMGi xw8bYZ+TI6VxADEEDfzv0sD+70+nYuTUpkssKWrYzNzVTNQdD6loVM0IhRgnNOta6bTVYGPRl6qc nT4KQFc5BXT24DmdX8a0YDsRA8UFvE7kZdrQTUnunQZlzABfqrKbkRL7S2WxfwdBAEOpfGyfjELB 4prIzok8MJRwQlcJnnVvG74n9NumqAopPR/rhH0DaApJnJM0CEZJcL/afIedD73tqwvMM9R+jR8t UDLHDo/zv0K2eZRMOdZmtEuxdtsOMFhPRFVrPF8evJ2PNxx84ki1iTW/SVREQuUzDSR5CAbHUUc6 jKVu49yXxRYutVPNdYu244j453GC+/Z+9LFOkpLscm/TfmdBlcuzkJDy3rx2LA8Wjr/xC/D39Wl/ KKWzzXR9xDI5/HCIsnmQt0/71u5JJWgeur5wDsXzjdLiG6J3br4buqwbPYalv2lkunPXFr6qMVh3 QKHq1ay9j6oOEFZ0JXlxX3jKSOT7mM3BGytgLixoWlEAW1kjf6KdWd0uLjgmIEEZRRRfThq6HO99 6u7Wl/Y3S4NY0kjt0ka8q7aKKYQkLHZ80WBuXcZx9P4wC+ky5I5+8dtI0ZfQcUAKKjF3r5knSpUd RVEUukcQTxcM8xREbGueAEn3N3fSa7BYS4CQOCFVKBVvCM3FiM0CcrSW4ePSmLFKSXnwH6esZyze rJkmSgZU4DnnGCNK9vqTKN91XHm6BaIxl9Z1vncL/DgQ+axeEr7ZomuScGoc7SHi3IIiY13F3t+G C98cdDSj+iS5EijyKvQ/WbNOIewerOyp+X9/Ct5wEzoSUObAAhIORugc6eYEPiek/DBFI8y+o12z SHBcmzOvEPPiiYw+X4HYPsVJcy9GRqhBD7/biDvp5pU1lzVElYcbjn75Ol09L7WitOiUfmPBoels WEzGv3bGQz3mhPjVareZdlysMkTVDi6sZ5GyA1VL+JVHPjuPibO5Zws9YawrFEcfc0nW6Dxa49hu UGTHNaGvPZJXKmVaqsPkeSua3jubEzs9EkyjfhubJIUnBO6MQP7d8TeSAP9kYrpLH9kghFm6HmXq XRU92W/nvSJIQPxJOkeS1NUXuqRUtz0/CR6otZNIR84QA92zcn5ua50BX1ool2GfAaIzwyhTA3jz dvAqMhZQh9FwPY/Q3LGz5kNtRLtJXAUzXRSxGtZKosqd/JzT2uxoFQTTmya/y4ykuztzTHBmpEZC i6VRxUgZAhvKI6C9cO3BWtg9g8XE/6/V4ry1Xn6BXvWLJVO5pjtVxSEjVXkLvo4cWRqnmU4li2eM EZPlt/fra9+Xp1dBkMlJIrOraGOtvVbH1tB4tzJX/f9kVamPStmvhxH65OZDIcaD2PSyWN5Js11F 2T3wr46PtaHnUOJkbLeqrsfmYsbEbArM0XxRSaMiX3B0//X9i5v/Q+dIfhuvY8k6xDegsHcVZz6x GP5+c2vIMAZR9eGMA4wbxSValgbOJk1Fvn9XV+zVdlhZwA8LDODZAcY7UdUpg8YQQ9wjLQ7gjsW2 uUPcU9jQShaLx0qxwcpbbKS5w+NFWp3fJJQb2UbDm0s+9irVpX8ShsgfRExB72lT1H3G `protect end_protected
mit
HighlandersFRC/fpga
lights_project/oled_project.srcs/sources_1/bd/zynq_1/ip/zynq_1_axi_gpio_0_0/fifo_generator_v11_0/ramfifo/updn_cntr.vhd
19
10193
`protect begin_protected `protect version = 1 `protect encrypt_agent = "XILINX" `protect encrypt_agent_info = "Xilinx Encryption Tool 2013" `protect key_keyowner = "Cadence Design Systems.", key_keyname= "cds_rsa_key", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 64) `protect key_block MpZqUX7RHqqBov6r9sp19cCgAmwWMQKz/kilwg6KfQHVNd7thNhiMjNr9jWB5lhCnXS2Dmq96KWe V2+V1FG8hw== `protect key_keyowner = "Mentor Graphics Corporation", key_keyname= "MGC-VERIF-SIM-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block eHZEt9aF2k9bUkzJgCuA+q4yfEhMdqCEDNKyWFDaQseZ/ofqbFQAQc2uVVXTRkEXQs+GrviVm+j7 2wxr0JrS1Xw60RqMKKhLpfqRVe2BmFAKgU2BRL0PnA5WtTOSGCOmSJGfPa08juK1otVgwc2Gzis9 06D0/bVknfjjRpJI8Po= `protect key_keyowner = "Xilinx", key_keyname= "xilinx_2013_09", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block s0TU3tsqHiK9WgquIx4poaAXQ17I+2l5Vqn12DnbEwMyPpn0YeINJkDaKFxRf41aPK1Wkun6v9Z/ YYZDqYBgVO9Z0NMkbD4LC5C9cZSBdk4ezqdUWACnMS4IR+6qI0nvPM6pNZernzgmYtMGFsG0h7AO 2CLMNIzANr+bYhHkAqpdx/KPtV7Deh8xOAkQeNSD+8rjhU0z6Gg+2FjdPjkTgWwsP8xrTSENuxiw xPh+QM3dvd2tDQbC1sSMu3CzeLQh9mMzJ/R1uFQDv4VC1TFFFPI7VMPMlrl3y0ondyZNERO3SeHy Mn6aVbKjlR68QJuFwdsz80LSh3ZTJ+foTk16ug== `protect key_keyowner = "Synopsys", key_keyname= "SNPS-VCS-RSA-1", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 128) `protect key_block uIfIqnJL93Nk48nDUNvQ46MGSw+0jZe8QEp6D5vC3ytHCm6yvGspxOPTR0O/6R1kGtbYGX5AVD6b KvoAJRDP7Wr2E6PTOWfFxWtEHCKiApDz7UksHM1gqF0d7SCMfsYR0KKn9LnLJiQxmEJD5y64ve5y 9s0qEeMi9k4HxMVPc9k= `protect key_keyowner = "Aldec", key_keyname= "ALDEC08_001", key_method = "rsa" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 256) `protect key_block XH+fS8ngHwfDFxF50DT7MdOHeXbY/uKmg7Eva1j7eQ+2X+a34Rn17d34wKLf1Z56AIT4ksXzo17E WT5KT9rKAQNao71yUm+YQAunOwqKEPRyxOz3bb+3Zvx3y9p+F7xTeZFLan3KtqwByX5rGkNJtGjN oI8H+T5FEpTIirQ9oxghooMSVVhKX8RsayssyrgajR3SSX0Q0ggoCOy3XtjsFKfrcDNlt7iEsMAt +8vV+volJUxGGSYbt9ATDx7fk+pYKVnFR1jV5fEpxyqiZQoGjkjsnbN29jqgiZBfhyEe2uAb7sF2 RnfrEGY96pFoR0k3gse3XEc9radVftI75N7ROg== `protect data_method = "AES128-CBC" `protect encoding = (enctype = "BASE64", line_length = 76, bytes = 5808) `protect data_block wSnbWrCNlW89Hl8c5qLI8x5XsG8/CghupqMtsGERdMSXa3EK5J/Qit0WHm+njR821JFwXT565GTk PfQmbPHqNCS0UKLtcdc3PZz0/PLyHx2I+i3o31d/LEWCSvVej8q9Im/IsuTfRijqwwpHV38mRUJu zFppdNstRebIZC07b2wx4/Zw/EX4cSUu0lNqeHBvLS2bm6IdBe4MgzTchruIq08TrolYM2Pec74I 8AurMryqYhC6o/Ybr8S5oyAQKm3bDPQMozGLd2GswnXOpVxdQR7+Hcyfq/5aTzsLwGcNe2JCa9i8 0p/PpVMLrZWBL9KT3BXC7LiYyvbQaSj7GlTH5LlBKPsT/zboxVe8l8P0bRe4dyxRXzeeXPmsxiOF 0/97i6LbZCS1yzEDwEIGqWsQfBYSuYjMhqx8QLIPe7l4MS6pMtVm1wAwbZnR8MvKCKwrridhlL0a sYEM4o5StHOo/sLWgJlTvYzV4wBL1kYSyuAWv5J2XUHvmseGIdNHnQk/EHV2Q8USm6z0OKXDAyPU Sh9aHmD9LCdkDiyrAJGrai5dRFUJ3Ddo8PUjEdkVX5acXglzprK5M9di71HwWMt5aZ0Wi/SF68sY UXFKCBlotPMyX1Rn9f+qiGldR2tYWjyGjaeTqzgFYeTDOxuNZ9gO/D+s8NmGVG7VaSGpNswKgdiP NbcOO8Nq2ovne7Rfr6W5Gcc6ZaQI3aXrPm5aRP+LkyT5kSCO1bNOJ4X/klsW3zGGL8Vj3wS0zdci 2dUa6AaFKd12zun70jAFPzUE5cTTAbFsMtClV9Pq9x/yrZt1elEvkGg9M4qPjj/U3+L0VPjb3Mh4 jcxEwGjb4ogTCeX0kg2z+xYoihuXrU3c07HF8yg2tM4y6HagSoYplt/3TuLuBovINEnhdIW7+Wo7 wwEIEDtWtG468YEvpPnMVZL8DQPbEFRaN7ggyg3ajrUmGdEtPcRMeD9jTiRqin2dbsO0Awpz2Rw2 fX2w6bcZuUP3r1GAVYOP/fx8tPq58+IOCQkm0F65Rto25RJaO57YXZxa+tdHA9BBpp6EA37TfFhe GGQoH92qkzX94C97QPn9a0uRzBIZzUXMXXZUhEbG1W309NbQetXemgpFw0Te23Dj2PSYua5lmUIm 3lYjodOPINOD7P8upsOuPgxvF0mVRPbv1EtF7G1dl7MYCqLDh+ES1/GE4C+Q3Glrcgn2xP4XJJjJ VSXnkskBosP/n19w6EzI7LlEFn6VupIkTa2s91ujn8dFvwNjW3eu7SqSR7kPuoQT/uUctwSnLu0B 1r6df9edkDQmkEkI8rbERFx6Xy410GK4t6e1wnHkXzpSwqPwbb/h2F8z9sZH90KSbm2x4hPW4uaS Cpfk2AdWjIYpUyB9uWvujYFhEYu2FhnpepEbo0UqnGmi7nY8Bcipe/uJWMfUd0tkMxmrDDMY/PgD 8/nodOpNOcJA1euM2HklIOvK74fGp5ZEip2nXGGNBVL/YnpS4W8+dyRYe/Ai0+0mVOHcBt+vqKBw A6xOkZcouLNPHR/tA5z+ThOnUd0NvslK1FY7BB1Vgfu4AhPX79e6f9H7HRW/WWBDso6MpASN7NQn ZqJcZkPN7WmHcKT+Be9B4glpqx5Bb+BqHR1RsFwCRRTzrj+8JppUwrLiiEyAhcksWOXkQSpd5DRL Igyh4e8icsYXhfVEW+rPAcgvsiFGBrIrJ0vupk7WkN7kFwNH9kgNup7/Dvv+UgDQI9Bp3wNE8/vJ Qw3rYD7p/QbTvtEPzrqm5oLEXRObv9Iars8jrsnwJQi9JCHfEvy/Zpq7fmkvAPq+ze9/1ajaSej+ j8xVFpMSiiYQ8C0nvWWcFqVe+3yzBm1j6R57EkF7SZlh7OLrqBEv9bygNvk7l025TgL9LIVDPtkX AlMWZfEJ2bXrWqUkDD1+wTYjPXQUvoTrKab8t5wyWg8SVVQbRiCT5+MP8ShfKgaDvuV/40VELz+p LihJQfbg2IdRC29XBGeVnlhwhSPpE3KXVCPl5ZjwgXc6cS7OVwBn50JIy0lErtdqdAopRtXyoANC +nsV0+rFq3JCsEAXrsfTW2yoXrMnoABqY+V6Rv4C/wd4i1aoAMp+sgKgVMVpRA7QlBRLoCAjzrF/ jiPqfrpE9WM2yNPW/P1v73UQCOitYKQmeKE5D0VnfbB8yrlhKYElulMkI+0tfSdxJB5+tVTI8RTI J46CsXxjPoYHQkhtZuYUWmWXcgH3D9kf8iFub7ZKZHgDz9BFBh7gyRXXyX5Zdo1uhhMjH8nBUDoQ mEMbPjVIvmmCf33HGlROPfG+avNhyVz570/9XjJMOvOJPU3HlBtSQoE6zs33xFyJCOObvzcQCJG2 aZVtSEfPBbUVI3IWTMBpkMKU4gQEbBiNQdqnmfjLvOcIJ4pag2zIOoGa23QbGC5fk3DNCZlljHhu l1EayU8CQCoFW5R49Dba7Ic5Wb5vxEwLpssaqCPKMKDyBL9dh4GZKsLpTYlHcaRYCRocL0LrTLjY cxFBmOuv+2gCj6z8lXG5NY/0kNQcd/+LOsYvvMAP7tGvQYm3SNRPReBZIfbx1NseTxLuLb/da/KJ N1ZyzGrugnyChiV2/k0XRoozzu3i9tZ8L+soqLnZv0dPV+b9HBCugg/yQ1m6f4910Twi1nEzBs/B QbF3VWpcOGoUm5p9fcILVRe9gk2fVh7JyM8dBsVi1HwJMcnxoUuWCzLqXgRVU5pF4z5QxQOim6M/ /gPWCuhV+pvogyEUrpH14U+mycKeMMXGogT0hRppCovDZgDavSlp1nlPe2kl47Q3NB6fH9/+ekOJ rNWIEJtw/77kqXnQYQGr2guqvZqnyUZ14+ONEmBPeZHm8jhW+UQHsRk61zLNaxrJSf0XPNuV58nK fAiB2yUy0TpzQ+qcuwjBUEoIxDqhO+K9nnPJUhSOfxzk1OPTkZxMhr9KId88i8v9DzWJyNHvIaLN KOzhFFRDn1LO49iqeZfabx0Fqu9jj+R1xG9jLMReOz/+EVcEopTnSen2SgOBR+yFMDHc4bcJl1bu 8StrXNQOHG9CcVaWTTyfM6VUdC+YhI+gq2IUykfnqv8BNOq9FcwGKI1rBrnZKIarvOt7Ox+4O4W7 6fLp4OC11RL4jemMTFekYNM3+bwko4NZOcE9Hgh/IgzS3D/vg9wOO5qoPm0WMTTyBU4tEbEK9TMR 0C6b76r4WraPe/w6cDZKU8et8pdhftc393/xONVo6yQp22BrW7W7shIFBU/ye+iXTiK3omLftWv2 UUaY4uZJ19Pj1KKi7m+C5BFEKaDafpbVmdgdtN/OG3BMY015mHf9DawcUE/4P4vh9mJTMsXl0a7G owb/SKrLWo1SO6tiXczT6dlzLaberrflmdPWOzxRVT4g+kth93PhesenGDq4O7uf8e+tIRQ7opSb TiwR9kCP9BekwiYg2fT72UFGozMOL8/HNhjWMBSl/jMQxP4edpH9rQz/vUA8GF/ixNDDrPrNoLes yXC1prvqJIYsrfrdzaoCYild0p1R4CemRPopfqqwJRXxwwLDWFksfqKxLvvZz8JA0uz70LSSQmEi YOtBnoHakvM9/yFjprI9oEAEKtOoK/0N0Hv6zNHyp/UbMX9O0JF6iDemf7RvyqWu0Y+pza5M4CGw x01VtrxVlxmGc941ZsBmH0tD3AaSydL6wVhzhd2Ujo/KYpSRUgTfNMdxZLLwFZBidyKc5CHmlnmi PIwqw7VvRfsGsqQwHSDNSciJ9/nApAViPFTxDTiPzfFRjX8VmB0gHdil5x/4jSpQ+l24n5C4l7S4 K0LWz7DeDZLjDBMXlU3O3ZR4KhkYMjdlw37mjVjOK6W+339Dgz2Ft4qzXqKUA/ZGY6wJeJMHJwcv aIwSG3SzixxwbKT7ueRbtrLPsvdHmZIF9b8ZOxypm1BXKxuZ8ZO5z5zCb5RnhkWoouZMRYexuBCN K8bVb0DXbBLVx42pjwg2d9Rstqv3KMLxkIVyaH1+pBMH9o0tXtEqEaZhlDd69RoFbrxeEJAB2Z3S qSb9yO1/UCIOes0WnZjgdxBb8a+NyHIzrylK70oua43cGVTGmHToqQavumxBhXl6QAP+jGP0HyqJ ZKLTg+eeGsNb4jVzG0ND/UVOQZVtIqGq+/BJqQbY7fnLi6vb4OZkTYkIpYmLDrN9i3T3Zv5wkIhb bFesC6DtCFJEb8EYYun7JZ2+mblPfsNLQmcC/Ra8eOvjNxPoGJshRr+v6dS2UOgHaILWxRlA+7E/ pdsfzU/J6zLpCHyoZ5EbtqKkyOgI0H8ImG4VAfR+YHdkaGhz5pPzdInbIldNl8n9kTwjCvoytVhZ auX5mrq5AYrRXY9aqIvHg0NPGYt5fG57KPBLGhu4QLzil54zV07mUQ6PaZ+TtU6vBJeUnyzfRw5p gSPrnGub3hbkGy7oaFINsdoIM4vYhdp80TFNLKatx4RpkJ2p3JnA1+rAZbpMnbDkcdvZTvBfXuWV EAUeFdop6EElXsHK2sBAY0I+jHxjhL8v+uydJ0Mtu/24RnYebsamFVu54ODcmWfaqS73dBFUyHCG f7cccuQHZrQPzd5l6tZFcwImkB7EkS9DKsMfjAAm8Ly6IDDLdvRGP8MTyKz9ZYllt4RCtD7d51KE LMZ8aBk2rTCWdIM3DGxYViDzx+MQO/beexzZni6QLoXaOcxO0ZtAm6jelK/Z+qJWy2ZHwXcjPXSq UIfzCjDYNuvLLzdzZfOja+8xp9qqlSEgwZxJT5/oy8A3/DhqdmXDWJE37T4eZjwb4j8ZA/Z8/DZX ruVB/k8qzPfFtH876p4hhQlqjaFqmWxQ/zBevroLloNqPXX8g5EoAI9FC0LiWrx/3bDu+Q53rUw3 p3HpQ3KgpZGDvkm1ilulVN54SEHyPH5pUsZ7kdfw0EiTKryaggETK8yvZD5564bQ3mYs1TzAt3FT oF5JnnN/WUgqBSKnUAjM986kAdUn2ssD3wCfAWgRjog+wY1+wzirK14hFUKZ4YQSpMc8kQOvV6L/ xMSmpnUpImOke4fnILUTJ/q1smzXIaoUDvZATHHIqfODxvu9jjxxd0yS/e6N8kq+t9Aqs4QhvGNe K3hO9U9r2pd+GmqMA22Ne023T+xq/5031gKYMbWkKSsIcU21m44ATTMES0/5o5AsnF0QC4EGIxcU 06pAUhhrbe2sCw1fetB/x6GoS6egWvLAoWcfnqdHFyIHkvtvxBX7LlkeILavAFQWkjksihKG1DOz JX2fvTBRFPOThKHMgOMxC7XpMInLlcKv8queRGcTkuRRI84kOL14ho6OScq/8JsdFLSvxASR+aJ3 Rgmh8CrClSueKZJqXMvOeXAySGovmAPQuVRaEEvNrrWTsw3Y/YQX6HxhMYwuKLPtYd255vg6KUom ztcIVOK5YFLO5qEZhys5Y/tXoXCkmMRV3A/5VKRbyWdf4OzVCzV5h6KCJs4dyBXcNC3AzXl3t2lQ vAaoYx7ti0w5NyNphC4AXnZj2YUT0ZLOIq/xE9ex5ABHj2fnbSsnJ66jIhozsKbxLA7KimDYysLi HaVCqoP8IdrV2WX15TabZPyZ93dXqp1EFgqDqvkYyyyTx1qyYHNWBZHBST7Epayt+nn8hecgtsu3 GpolOkp0Uyfn/dR/1D0piqKzuM55CNlQPg6YU1sqDpyLVoH+07EGLcd9DT6wYaQe3nIf1sWEiV8f eB2GdF1SG8nsHtclUfWE3SDikn99uuQUpKx3Dmi434KtWCRBhhkixNpGY1mL8v3PkGq+aV61TYn9 eXzOyO6wB73aylUtgdxeQ9sA3o0oCCEdN897mfJtJJ7O+AuS4RUTVTm1Lr6CFsIBecq3Ygi6bqJS eaXlsFpOO57BydJDP6HiY9gxAIJ48+iFPvpW3gq9FzMFHwvz7UWXwAFsLAtox4lkiWcHdXn9ocnX 0UsArnpTwehW6tQr4SU553YuML77wavoaN8iPIgRXu/tGnSFqEW3Hu1MXfd5Ml/AkJwslvD8qa2C LaCXQe1fQ4mw5cnmKwRn3WLyfh1n2dV2zbKjVXEUlW0VIiaUvSmHNbST9FKA+HXoj8YquE35oGLj GpybA7Vm4/GUxixUmH0M/6B+GL/kRnyeRVCyuXEcVMZFrdsOp9a/l5fjrSFLJ/9PhyHHhqXbzMGi xw8bYZ+TI6VxADEEDfzv0sD+70+nYuTUpkssKWrYzNzVTNQdD6loVM0IhRgnNOta6bTVYGPRl6qc nT4KQFc5BXT24DmdX8a0YDsRA8UFvE7kZdrQTUnunQZlzABfqrKbkRL7S2WxfwdBAEOpfGyfjELB 4prIzok8MJRwQlcJnnVvG74n9NumqAopPR/rhH0DaApJnJM0CEZJcL/afIedD73tqwvMM9R+jR8t UDLHDo/zv0K2eZRMOdZmtEuxdtsOMFhPRFVrPF8evJ2PNxx84ki1iTW/SVREQuUzDSR5CAbHUUc6 jKVu49yXxRYutVPNdYu244j453GC+/Z+9LFOkpLscm/TfmdBlcuzkJDy3rx2LA8Wjr/xC/D39Wl/ KKWzzXR9xDI5/HCIsnmQt0/71u5JJWgeur5wDsXzjdLiG6J3br4buqwbPYalv2lkunPXFr6qMVh3 QKHq1ay9j6oOEFZ0JXlxX3jKSOT7mM3BGytgLixoWlEAW1kjf6KdWd0uLjgmIEEZRRRfThq6HO99 6u7Wl/Y3S4NY0kjt0ka8q7aKKYQkLHZ80WBuXcZx9P4wC+ky5I5+8dtI0ZfQcUAKKjF3r5knSpUd RVEUukcQTxcM8xREbGueAEn3N3fSa7BYS4CQOCFVKBVvCM3FiM0CcrSW4ePSmLFKSXnwH6esZyze rJkmSgZU4DnnGCNK9vqTKN91XHm6BaIxl9Z1vncL/DgQ+axeEr7ZomuScGoc7SHi3IIiY13F3t+G C98cdDSj+iS5EijyKvQ/WbNOIewerOyp+X9/Ct5wEzoSUObAAhIORugc6eYEPiek/DBFI8y+o12z SHBcmzOvEPPiiYw+X4HYPsVJcy9GRqhBD7/biDvp5pU1lzVElYcbjn75Ol09L7WitOiUfmPBoels WEzGv3bGQz3mhPjVareZdlysMkTVDi6sZ5GyA1VL+JVHPjuPibO5Zws9YawrFEcfc0nW6Dxa49hu UGTHNaGvPZJXKmVaqsPkeSua3jubEzs9EkyjfhubJIUnBO6MQP7d8TeSAP9kYrpLH9kghFm6HmXq XRU92W/nvSJIQPxJOkeS1NUXuqRUtz0/CR6otZNIR84QA92zcn5ua50BX1ool2GfAaIzwyhTA3jz dvAqMhZQh9FwPY/Q3LGz5kNtRLtJXAUzXRSxGtZKosqd/JzT2uxoFQTTmya/y4ykuztzTHBmpEZC i6VRxUgZAhvKI6C9cO3BWtg9g8XE/6/V4ry1Xn6BXvWLJVO5pjtVxSEjVXkLvo4cWRqnmU4li2eM EZPlt/fra9+Xp1dBkMlJIrOraGOtvVbH1tB4tzJX/f9kVamPStmvhxH65OZDIcaD2PSyWN5Js11F 2T3wr46PtaHnUOJkbLeqrsfmYsbEbArM0XxRSaMiX3B0//X9i5v/Q+dIfhuvY8k6xDegsHcVZz6x GP5+c2vIMAZR9eGMA4wbxSValgbOJk1Fvn9XV+zVdlhZwA8LDODZAcY7UdUpg8YQQ9wjLQ7gjsW2 uUPcU9jQShaLx0qxwcpbbKS5w+NFWp3fJJQb2UbDm0s+9irVpX8ShsgfRExB72lT1H3G `protect end_protected
mit