



from manim import *


class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					def      _a				(  self       :							Union[str, Any]       ):






								"""simple docstring"""


								A__	  =     Rectangle(height=0.5					,       width=0.5       )
								A__	  =     Rectangle(height=0.46					,       width=0.46       ).set_stroke(width=0       )

								A__	  =     [mem.copy() for i in range(6       )]
								A__	  =     [mem.copy() for i in range(6       )]
								A__	  =     VGroup(*_snake_case       ).arrange(_snake_case					,       buff=0       )
								A__	  =     VGroup(*_snake_case       ).arrange(_snake_case					,       buff=0       )
								A__	  =     VGroup(_snake_case					,       _snake_case       ).arrange(_snake_case					,       buff=0       )
								A__	  =     Text('CPU'					,       font_size=24       )
								A__	  =     Group(_snake_case					,       _snake_case       ).arrange(_snake_case					,       buff=0.5					,       aligned_edge=_snake_case       )
								cpu.move_to([-2.5, -0.5, 0]       )
								self.add(_snake_case       )

								A__	  =     [mem.copy() for i in range(1       )]
								A__	  =     VGroup(*_snake_case       ).arrange(_snake_case					,       buff=0       )
								A__	  =     Text('GPU'					,       font_size=24       )
								A__	  =     Group(_snake_case					,       _snake_case       ).arrange(_snake_case					,       buff=0.5					,       aligned_edge=_snake_case       )
								gpu.align_to(_snake_case					,       _snake_case       )
								gpu.set_x(gpu.get_x() - 1       )

								self.add(_snake_case       )

								A__	  =     [mem.copy() for i in range(6       )]
								A__	  =     VGroup(*_snake_case       ).arrange(_snake_case					,       buff=0       )

								A__	  =     Text('Model'					,       font_size=24       )
								A__	  =     Group(_snake_case					,       _snake_case       ).arrange(_snake_case					,       buff=0.5					,       aligned_edge=_snake_case       )
								model.move_to([3, -1.0, 0]       )

								self.play(
								    Create(_snake_case					,       run_time=1       )					,       Create(_snake_case					,       run_time=1       )					,       Create(_snake_case					,       run_time=1       )					,       )

								A__	  =     MarkupText(
								    F'''First, an empty model skeleton is loaded\ninto <span fgcolor=\'{YELLOW}\'>memory</span> without using much RAM.'''					,       font_size=24					,       )

								A__	  =     Square(side_length=2.2       )
								key.move_to([-5, 2, 0]       )

								A__	  =     MarkupText(
								    F'''<b>Key:</b>\n\n<span fgcolor=\'{YELLOW}\'>●</span> Empty Model'''					,       font_size=18					,       )

								key_text.move_to([-5, 2.4, 0]       )

								step_a.move_to([2, 2, 0]       )
								self.play(Write(_snake_case					,       run_time=2.5       )					,       Write(_snake_case       )					,       Write(_snake_case       )       )

								self.add(_snake_case       )

								A__	  =     []
								A__	  =     []
								A__	  =     []
								for i, rect in enumerate(_snake_case       ):
											A__	  =     Rectangle(height=0.46					,       width=0.46       ).set_stroke(width=0.0       ).set_fill(_snake_case					,       opacity=0.7       )
											cpu_target.move_to(_snake_case       )
											cpu_target.generate_target()
											A__	  =     0.46 / 4
											A__	  =     0.46 / 3

											if i == 0:
														cpu_target.target.next_to(cpu_left_col_base[0].get_corner(DOWN + LEFT       )					,       buff=0.02					,       direction=_snake_case       )
														cpu_target.target.set_x(cpu_target.target.get_x() + 0.1       )
											elif i == 3:
														cpu_target.target.next_to(cpu_targs[0].target					,       direction=_snake_case					,       buff=0.0       )
											else:
														cpu_target.target.next_to(cpu_targs[i - 1].target					,       direction=_snake_case					,       buff=0.0       )
											cpu_targs.append(_snake_case       )

											first_animations.append(rect.animate(run_time=0.5       ).set_stroke(_snake_case       )       )
											second_animations.append(MoveToTarget(_snake_case					,       run_time=1.5       )       )

								self.play(*_snake_case       )
								self.play(*_snake_case       )

								self.wait()









import numpy as np
import skfuzzy as fuzz

if __name__ == "__main__":
							# Create universe of discourse in Python using linspace ()
							SCREAMING_SNAKE_CASE__   			=   np.linspace(start=0, stop=7_5, num=7_5, endpoint=True, retstep=False)

							# Create two fuzzy sets by defining any membership function
							# (trapmf(), gbellmf(), gaussmf(), etc).
							SCREAMING_SNAKE_CASE__   			=   [0, 2_5, 5_0]
							SCREAMING_SNAKE_CASE__   			=   [2_5, 5_0, 7_5]
							SCREAMING_SNAKE_CASE__   			=   fuzz.membership.trimf(X, abca)
							SCREAMING_SNAKE_CASE__   			=   fuzz.membership.trimf(X, abca)

							# Compute the different operations using inbuilt functions.
							SCREAMING_SNAKE_CASE__   			=   np.ones(7_5)
							SCREAMING_SNAKE_CASE__   			=   np.zeros((7_5,))
							# 1. Union = max(µA(x), µB(x))
							SCREAMING_SNAKE_CASE__   			=   fuzz.fuzzy_or(X, young, X, middle_aged)[1]
							# 2. Intersection = min(µA(x), µB(x))
							SCREAMING_SNAKE_CASE__   			=   fuzz.fuzzy_and(X, young, X, middle_aged)[1]
							# 3. Complement (A) = (1- min(µA(x))
							SCREAMING_SNAKE_CASE__   			=   fuzz.fuzzy_not(young)
							# 4. Difference (A/B) = min(µA(x),(1- µB(x)))
							SCREAMING_SNAKE_CASE__   			=   fuzz.fuzzy_and(X, young, X, fuzz.fuzzy_not(middle_aged)[1])[1]
							# 5. Algebraic Sum = [µA(x) + µB(x) – (µA(x) * µB(x))]
							SCREAMING_SNAKE_CASE__   			=   young + middle_aged - (young * middle_aged)
							# 6. Algebraic Product = (µA(x) * µB(x))
							SCREAMING_SNAKE_CASE__   			=   young * middle_aged
							# 7. Bounded Sum = min[1,(µA(x), µB(x))]
							SCREAMING_SNAKE_CASE__   			=   fuzz.fuzzy_and(X, one, X, young + middle_aged)[1]
							# 8. Bounded difference = min[0,(µA(x), µB(x))]
							SCREAMING_SNAKE_CASE__   			=   fuzz.fuzzy_or(X, zero, X, young - middle_aged)[1]

							# max-min composition
							# max-product composition

							# Plot each set A, set B and each operation result using plot() and subplot().
							from matplotlib import pyplot as plt

							plt.figure()

							plt.subplot(4, 3, 1)
							plt.plot(X, young)
							plt.title('''Young''')
							plt.grid(True)

							plt.subplot(4, 3, 2)
							plt.plot(X, middle_aged)
							plt.title('''Middle aged''')
							plt.grid(True)

							plt.subplot(4, 3, 3)
							plt.plot(X, union)
							plt.title('''union''')
							plt.grid(True)

							plt.subplot(4, 3, 4)
							plt.plot(X, intersection)
							plt.title('''intersection''')
							plt.grid(True)

							plt.subplot(4, 3, 5)
							plt.plot(X, complement_a)
							plt.title('''complement_a''')
							plt.grid(True)

							plt.subplot(4, 3, 6)
							plt.plot(X, difference)
							plt.title('''difference a/b''')
							plt.grid(True)

							plt.subplot(4, 3, 7)
							plt.plot(X, alg_sum)
							plt.title('''alg_sum''')
							plt.grid(True)

							plt.subplot(4, 3, 8)
							plt.plot(X, alg_product)
							plt.title('''alg_product''')
							plt.grid(True)

							plt.subplot(4, 3, 9)
							plt.plot(X, bdd_sum)
							plt.title('''bdd_sum''')
							plt.grid(True)

							plt.subplot(4, 3, 1_0)
							plt.plot(X, bdd_difference)
							plt.title('''bdd_difference''')
							plt.grid(True)

							plt.subplots_adjust(hspace=0.5)
							plt.show()




