
"""simple docstring"""

import random
class    _UpperCAmelCase							:




      def __init__(							self      ,				lowercase_      ,				lowercase_      ,				lowercase_ = 0.0_1      ,				lowercase_ = 1_0_0_0      ,				lowercase_ = -1      ,				)  ->    None:
          UpperCAmelCase  	=    sample
          if len(self.sample							) == 0:
              raise ValueError('Sample data can not be empty'							)
          UpperCAmelCase  	=    target
          if len(self.target							) == 0:
              raise ValueError('Target data can not be empty'							)
          if len(self.sample							) != len(self.target							):
              raise ValueError('Sample data and Target data do not have matching lengths'							)
          UpperCAmelCase  	=    learning_rate
          UpperCAmelCase  	=    epoch_number
          UpperCAmelCase  	=    bias
          UpperCAmelCase  	=    len(lowerCAmelCase__							)
          UpperCAmelCase  	=    len(sample[0]							)  # number of columns in dataset
          UpperCAmelCase  	=    []




      def 			a_					(							self							)  ->    None:



          for sample in self.sample:
              sample.insert(0      ,				self.bias							)

          for _ in range(self.col_sample							):
              self.weight.append(random.random()							)

          self.weight.insert(0      ,				self.bias							)

          UpperCAmelCase  	=    0

          while True:
              UpperCAmelCase  	=    False
              for i in range(self.number_sample							):
                  UpperCAmelCase  	=    0
                  for j in range(self.col_sample + 1							):
                      UpperCAmelCase  	=    u + self.weight[j] * self.sample[i][j]
                  UpperCAmelCase  	=    self.sign(lowerCAmelCase__							)
                  if y != self.target[i]:
                      for j in range(self.col_sample + 1							):
                          UpperCAmelCase  	=    (
                              self.weight[j]
                              + self.learning_rate
                              * (self.target[i] - y)
                              * self.sample[i][j]
                          )
                      UpperCAmelCase  	=    True
            # print('Epoch: \n',epoch_count)
              UpperCAmelCase  	=    epoch_count + 1
              # if you want control the epoch or just by error
              if not has_misclassified:
                  print(('\nEpoch:\n', epoch_count)							)
                  print('------------------------\n'							)
                  # if epoch_count > self.epoch_number or not error:
                  break




      def 			a_					(							self      ,				lowercase_							)  ->    None:



          if len(self.sample							) == 0:
              raise ValueError('Sample data can not be empty'							)
          sample.insert(0      ,				self.bias							)
          UpperCAmelCase  	=    0
          for i in range(self.col_sample + 1							):
              UpperCAmelCase  	=    u + self.weight[i] * sample[i]

          UpperCAmelCase  	=    self.sign(lowerCAmelCase__							)

          if y == -1:
              print(('Sample: ', sample)							)
              print('classification: P1'							)
          else:
              print(('Sample: ', sample)							)
              print('classification: P2'							)




      def 			a_					(							self      ,				lowercase_							)  ->    int:
          return 1 if u >= 0 else -1

SCREAMING_SNAKE_CASE_			    =  [
    [-0.6_5_0_8, 0.1_0_9_7, 4.0_0_0_9],
    [-1.4_4_9_2, 0.8_8_9_6, 4.4_0_0_5],
    [2.0_8_5_0, 0.6_8_7_6, 1_2.0_7_1_0],
    [0.2_6_2_6, 1.1_4_7_6, 7.7_9_8_5],
    [0.6_4_1_8, 1.0_2_3_4, 7.0_4_2_7],
    [0.2_5_6_9, 0.6_7_3_0, 8.3_2_6_5],
    [1.1_1_5_5, 0.6_0_4_3, 7.4_4_4_6],
    [0.0_9_1_4, 0.3_3_9_9, 7.0_6_7_7],
    [0.0_1_2_1, 0.5_2_5_6, 4.6_3_1_6],
    [-0.0_4_2_9, 0.4_6_6_0, 5.4_3_2_3],
    [0.4_3_4_0, 0.6_8_7_0, 8.2_2_8_7],
    [0.2_7_3_5, 1.0_2_8_7, 7.1_9_3_4],
    [0.4_8_3_9, 0.4_8_5_1, 7.4_8_5_0],
    [0.4_0_8_9, -0.1_2_6_7, 5.5_0_1_9],
    [1.4_3_9_1, 0.1_6_1_4, 8.5_8_4_3],
    [-0.9_1_1_5, -0.1_9_7_3, 2.1_9_6_2],
    [0.3_6_5_4, 1.0_4_7_5, 7.4_8_5_8],
    [0.2_1_4_4, 0.7_5_1_5, 7.1_6_9_9],
    [0.2_0_1_3, 1.0_0_1_4, 6.5_4_8_9],
    [0.6_4_8_3, 0.2_1_8_3, 5.8_9_9_1],
    [-0.1_1_4_7, 0.2_2_4_2, 7.2_4_3_5],
    [-0.7_9_7_0, 0.8_7_9_5, 3.8_7_6_2],
    [-1.0_6_2_5, 0.6_3_6_6, 2.4_7_0_7],
    [0.5_3_0_7, 0.1_2_8_5, 5.6_8_8_3],
    [-1.2_2_0_0, 0.7_7_7_7, 1.7_2_5_2],
    [0.3_9_5_7, 0.1_0_7_6, 5.6_6_2_3],
    [-0.1_0_1_3, 0.5_9_8_9, 7.1_8_1_2],
    [2.4_4_8_2, 0.9_4_5_5, 1_1.2_0_9_5],
    [2.0_1_4_9, 0.6_1_9_2, 1_0.9_2_6_3],
    [0.2_0_1_2, 0.2_6_1_1, 5.4_6_3_1],
]

SCREAMING_SNAKE_CASE_			    =  [
    -1,
    -1,
    -1,
    1,
    1,
    -1,
    1,
    -1,
    1,
    1,
    -1,
    1,
    -1,
    -1,
    -1,
    -1,
    1,
    1,
    1,
    1,
    -1,
    1,
    1,
    1,
    1,
    -1,
    -1,
    1,
    -1,
    1,
]


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   SCREAMING_SNAKE_CASE_			    =  Perceptron(
       sample=samples, target=target, learning_rate=0.0_1, epoch_number=1000, bias=-1
   )
   network.training()
   print('''Finished training perceptron''')
   print('''Enter values to predict or q to exit''')
   while True:
      SCREAMING_SNAKE_CASE_			    =  []
      for i in range(len(samples[0])):
         SCREAMING_SNAKE_CASE_			    =  input('''value: ''').strip()
         if user_input == "q":
            break
         SCREAMING_SNAKE_CASE_			    =  float(user_input)
         sample.insert(i, observation)
      network.sort(sample)










"""simple docstring"""




UpperCamelCase_           ={
    """A""": ("""ABCDEFGHIJKLM""", """NOPQRSTUVWXYZ"""),
    """B""": ("""ABCDEFGHIJKLM""", """NOPQRSTUVWXYZ"""),
    """C""": ("""ABCDEFGHIJKLM""", """ZNOPQRSTUVWXY"""),
    """D""": ("""ABCDEFGHIJKLM""", """ZNOPQRSTUVWXY"""),
    """E""": ("""ABCDEFGHIJKLM""", """YZNOPQRSTUVWX"""),
    """F""": ("""ABCDEFGHIJKLM""", """YZNOPQRSTUVWX"""),
    """G""": ("""ABCDEFGHIJKLM""", """XYZNOPQRSTUVW"""),
    """H""": ("""ABCDEFGHIJKLM""", """XYZNOPQRSTUVW"""),
    """I""": ("""ABCDEFGHIJKLM""", """WXYZNOPQRSTUV"""),
    """J""": ("""ABCDEFGHIJKLM""", """WXYZNOPQRSTUV"""),
    """K""": ("""ABCDEFGHIJKLM""", """VWXYZNOPQRSTU"""),
    """L""": ("""ABCDEFGHIJKLM""", """VWXYZNOPQRSTU"""),
    """M""": ("""ABCDEFGHIJKLM""", """UVWXYZNOPQRST"""),
    """N""": ("""ABCDEFGHIJKLM""", """UVWXYZNOPQRST"""),
    """O""": ("""ABCDEFGHIJKLM""", """TUVWXYZNOPQRS"""),
    """P""": ("""ABCDEFGHIJKLM""", """TUVWXYZNOPQRS"""),
    """Q""": ("""ABCDEFGHIJKLM""", """STUVWXYZNOPQR"""),
    """R""": ("""ABCDEFGHIJKLM""", """STUVWXYZNOPQR"""),
    """S""": ("""ABCDEFGHIJKLM""", """RSTUVWXYZNOPQ"""),
    """T""": ("""ABCDEFGHIJKLM""", """RSTUVWXYZNOPQ"""),
    """U""": ("""ABCDEFGHIJKLM""", """QRSTUVWXYZNOP"""),
    """V""": ("""ABCDEFGHIJKLM""", """QRSTUVWXYZNOP"""),
    """W""": ("""ABCDEFGHIJKLM""", """PQRSTUVWXYZNO"""),
    """X""": ("""ABCDEFGHIJKLM""", """PQRSTUVWXYZNO"""),
    """Y""": ("""ABCDEFGHIJKLM""", """OPQRSTUVWXYZN"""),
    """Z""": ("""ABCDEFGHIJKLM""", """OPQRSTUVWXYZN"""),
}





def        a_				(							_lowercase   ):
						return [alphabet[char] for char in key.upper()]





def        a_				(							_lowercase       ,						_lowercase   ):
						_UpperCamelCase			:					Optional[Any]     =    ''''''
						_UpperCamelCase			:					Tuple     =    0
						_UpperCamelCase			:					Optional[int]     =    generate_table(_lowercase   )
						for char in words.upper():
												cipher += get_opponent(table[count]       ,						_lowercase   )
												_UpperCamelCase			:					Optional[int]     =    (count + 1) % len(_lowercase   )
						return cipher





def        a_				(							_lowercase       ,						_lowercase   ):
						return encrypt(_lowercase       ,						_lowercase   )





def        a_				(							_lowercase       ,						_lowercase   ):
						_UpperCamelCase			:					Dict     =    0 if char in table[0] else 1
						_UpperCamelCase			:					str     =    table[row].index(_lowercase   )
						return row, col





def        a_				(							_lowercase       ,						_lowercase   ):
						_UpperCamelCase   ,							_UpperCamelCase			:					Union[str, Any]     =    get_position(_lowercase       ,						char.upper()   )
						if row == 1:
												return table[0][col]
						else:
												return table[1][col] if row == 0 else char


if __name__ == "__main__":
						import doctest

						doctest.testmod()  # Fist ensure that all our tests are passing...
						UpperCamelCase_           =input("""Enter key: """).strip()
						UpperCamelCase_           =input("""Enter text to encrypt: """).strip()
						UpperCamelCase_           =encrypt(key, text)

						print(F"Encrypted: {cipher_text}")
						print(F"Decrypted with key: {decrypt(key, cipher_text)}")



