

from manim import *



class 						__lowercase       (				UpperCAmelCase_			):




			"""simple docstring"""







			def  _SCREAMING_SNAKE_CASE    (				self						:  str):
									SCREAMING_SNAKE_CASE_:				List[str]							= Rectangle(height=0.5     ,		width=0.5)
									SCREAMING_SNAKE_CASE_:				Tuple							= Rectangle(height=0.46     ,		width=0.46).set_stroke(width=0)
									SCREAMING_SNAKE_CASE_:				List[str]							= Rectangle(height=0.25     ,		width=0.25)

									SCREAMING_SNAKE_CASE_:				int							= [mem.copy() for i in range(6)]
									SCREAMING_SNAKE_CASE_:				int							= [mem.copy() for i in range(6)]
									SCREAMING_SNAKE_CASE_:				Union[str, Any]							= VGroup(*lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0)
									SCREAMING_SNAKE_CASE_:				Tuple							= VGroup(*lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0)
									SCREAMING_SNAKE_CASE_:				str							= VGroup(lowerCAmelCase__     ,		lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0)
									SCREAMING_SNAKE_CASE_:				str							= Text("CPU"     ,		font_size=24)
									SCREAMING_SNAKE_CASE_:				int							= Group(lowerCAmelCase__     ,		lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0.5     ,		aligned_edge=lowerCAmelCase__)
									cpu.move_to([-2.5, -0.5, 0])
									self.add(lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:				Any							= [mem.copy() for i in range(4)]
									SCREAMING_SNAKE_CASE_:				List[Any]							= VGroup(*lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0)
									SCREAMING_SNAKE_CASE_:				str							= Text("GPU"     ,		font_size=24)
									SCREAMING_SNAKE_CASE_:				List[Any]							= Group(lowerCAmelCase__     ,		lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0.5     ,		aligned_edge=lowerCAmelCase__)
									gpu.move_to([-1, -1, 0])
									self.add(lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:				Dict							= [mem.copy() for i in range(6)]
									SCREAMING_SNAKE_CASE_:				Union[str, Any]							= VGroup(*lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0)

									SCREAMING_SNAKE_CASE_:				Tuple							= Text("Model"     ,		font_size=24)
									SCREAMING_SNAKE_CASE_:				str							= Group(lowerCAmelCase__     ,		lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0.5     ,		aligned_edge=lowerCAmelCase__)
									model.move_to([3, -1.0, 0])
									self.add(lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:				Any							= []
									SCREAMING_SNAKE_CASE_:				Optional[int]							= []

									for i, rect in enumerate(lowerCAmelCase__):
															rect.set_stroke(lowerCAmelCase__)

															SCREAMING_SNAKE_CASE_:				Optional[int]							= Rectangle(height=0.46 / 4     ,		width=0.46 / 3).set_stroke(width=0.0).set_fill(lowerCAmelCase__     ,		opacity=0.7)

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

									self.add(*lowerCAmelCase__     ,		*lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:				Tuple							= [meta_mem.copy() for i in range(6)]
									SCREAMING_SNAKE_CASE_:				str							= [meta_mem.copy() for i in range(6)]
									SCREAMING_SNAKE_CASE_:				str							= VGroup(*lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0)
									SCREAMING_SNAKE_CASE_:				Dict							= VGroup(*lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0)
									SCREAMING_SNAKE_CASE_:				int							= VGroup(lowerCAmelCase__     ,		lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0)
									SCREAMING_SNAKE_CASE_:				Dict							= Text("Disk"     ,		font_size=24)
									SCREAMING_SNAKE_CASE_:				List[str]							= Group(lowerCAmelCase__     ,		lowerCAmelCase__).arrange(lowerCAmelCase__     ,		buff=0.5     ,		aligned_edge=lowerCAmelCase__)
									disk.move_to([-4.0, -1.25, 0])
									self.add(lowerCAmelCase__     ,		lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:				str							= []

									for i in range(6):
															SCREAMING_SNAKE_CASE_:				Tuple							= fill.copy().set_fill(lowerCAmelCase__     ,		opacity=0.8)
															target.move_to(disk_left_col_base[i]).scale(0.5)
															cpu_disk_arr.append(lowerCAmelCase__)

									self.add(*lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:				List[str]							= Square(side_length=2.2)
									key.move_to([-5, 2, 0])

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

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

									self.add(lowerCAmelCase__     ,		lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:				Optional[int]							= MarkupText(
									    F"<span fgcolor='{BLUE}'>●</span> Checkpoint"     ,		font_size=18     ,		)

									blue_text.next_to(lowerCAmelCase__     ,		DOWN * 2.4     ,		aligned_edge=key_text.get_left())
									self.add(lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:				str							= MarkupText(F"The offloaded weights are all sent to the CPU."     ,		font_size=24)
									step_a.move_to([2, 2, 0])

									self.play(Write(lowerCAmelCase__     ,		run_time=3))

									for i in range(6):
															SCREAMING_SNAKE_CASE_:				Optional[Any]							= cpu_disk_arr[i]
															SCREAMING_SNAKE_CASE_:				Optional[int]							= rect.copy().set_fill(lowerCAmelCase__     ,		opacity=0.8).scale(2.0)
															cpa.generate_target()
															cpa.target.move_to(model_base[i])

															if i == 0:
																					rect.set_fill(lowerCAmelCase__     ,		opacity=0.8)
																					rect.generate_target()
																					rect.target.move_to(cpu_left_col_base[0]).scale(2.0)

																					self.remove(
																					    *lowerCAmelCase__     ,		*lowerCAmelCase__     ,		)

															else:
																					rect.generate_target()
																					rect.target.move_to(cpu_left_col_base[i]).scale(2.0)
															self.play(MoveToTarget(lowerCAmelCase__)     ,		MoveToTarget(lowerCAmelCase__)     ,		model_base[i].animate.set_stroke(lowerCAmelCase__))
									self.play(FadeOut(lowerCAmelCase__))

									SCREAMING_SNAKE_CASE_:				Union[str, Any]							= MarkupText(
									    F"Finally, hooks are added to each weight in the model\nto transfer the weights from CPU to GPU\n\t\tand back when needed."     ,		font_size=24     ,		)
									step_a.move_to([2, 2, 0])

									self.play(Write(lowerCAmelCase__     ,		run_time=3))

									SCREAMING_SNAKE_CASE_:				int							= []
									SCREAMING_SNAKE_CASE_:				Dict							= []
									for i in range(6):
															SCREAMING_SNAKE_CASE_:				int							= Arrow(start=lowerCAmelCase__     ,		end=lowerCAmelCase__     ,		color=lowerCAmelCase__     ,		buff=0.5)
															a.next_to(model_base[i].get_left()     ,		lowerCAmelCase__     ,		buff=0.2)
															arrows.append(lowerCAmelCase__)
															animations.append(Write(lowerCAmelCase__))
									self.play(*lowerCAmelCase__)
									self.wait()









def     A_   (					_UpperCAmelCase					):
						SCREAMING_SNAKE_CASE_:				Optional[Any]							= []
						SCREAMING_SNAKE_CASE_:				Any							= 1

						for i in range(len(_UpperCAmelCase					)					):
												if i + 1 < len(_UpperCAmelCase					) and text[i] == text[i + 1]:
																		count += 1
												else:
																		encoded.append((text[i], count)					)
																		SCREAMING_SNAKE_CASE_:				List[Any]							= 1

						return encoded







def     A_   (					_UpperCAmelCase					):
						return "".join(char * length for char, length in encoded					)


if __name__ == "__main__":
						from doctest import testmod

						testmod(name="""run_length_encode""", verbose=True)
						testmod(name="""run_length_decode""", verbose=True)






