





from manim import *




class        SCREAMING_SNAKE_CASE__					(		UpperCamelCase__ ):



 def 							UpperCamelCase     (				self					):
        A__		   =		Rectangle(height=0.5,width=0.5					)
        A__		   =		Rectangle(height=0.46,width=0.46					).set_stroke(width=0					)

        A__		   =		Rectangle(height=0.25,width=0.25					)

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

        A__		   =		[mem.copy() for i in range(4					)]
        A__		   =		VGroup(*__lowerCamelCase					).arrange(__lowerCamelCase,buff=0					)
        A__		   =		Text('''GPU''',font_size=24					)
        A__		   =		Group(__lowerCamelCase,__lowerCamelCase					).arrange(__lowerCamelCase,buff=0.5,aligned_edge=__lowerCamelCase					)
        gpu.move_to([-1, -1, 0]					)
        self.add(__lowerCamelCase					)

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

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

        A__		   =		[]
        A__		   =		[]

        for i, rect in enumerate(__lowerCamelCase					):
               A__		   =		fill.copy().set_fill(__lowerCamelCase,opacity=0.8					)
               target.move_to(__lowerCamelCase					)
               model_arr.append(__lowerCamelCase					)

               A__		   =		Rectangle(height=0.46,width=0.46					).set_stroke(width=0.0					).set_fill(__lowerCamelCase,opacity=0.8					)
               cpu_target.move_to(cpu_left_col_base[i]					)
               model_cpu_arr.append(__lowerCamelCase					)

        self.add(*__lowerCamelCase,*__lowerCamelCase					)

        A__		   =		[meta_mem.copy() for i in range(6					)]
        A__		   =		[meta_mem.copy() for i in range(6					)]
        A__		   =		VGroup(*__lowerCamelCase					).arrange(__lowerCamelCase,buff=0					)
        A__		   =		VGroup(*__lowerCamelCase					).arrange(__lowerCamelCase,buff=0					)
        A__		   =		VGroup(__lowerCamelCase,__lowerCamelCase					).arrange(__lowerCamelCase,buff=0					)
        A__		   =		Text('''Disk''',font_size=24					)
        A__		   =		Group(__lowerCamelCase,__lowerCamelCase					).arrange(__lowerCamelCase,buff=0.5,aligned_edge=__lowerCamelCase					)
        disk.move_to([-4, -1.25, 0]					)
        self.add(__lowerCamelCase,__lowerCamelCase					)

        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]					)

        self.add(__lowerCamelCase,__lowerCamelCase					)

        A__		   =		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					)

        A__		   =		MarkupText(
            f"Now watch as an input is passed through the model\nand how the memory is utilized and handled.",font_size=24,)
        step_a.move_to([2, 2, 0]					)

        self.play(Write(__lowerCamelCase					)					)

        A__		   =		Square(0.3					)
        input.set_fill(__lowerCamelCase,opacity=1.0					)
        input.set_stroke(width=0.0					)
        input.next_to(model_base[0],__lowerCamelCase,buff=0.5					)

        self.play(Write(__lowerCamelCase					)					)

        input.generate_target()
        input.target.next_to(model_arr[0],direction=__lowerCamelCase,buff=0.02					)
        self.play(MoveToTarget(__lowerCamelCase					)					)

        self.play(FadeOut(__lowerCamelCase					)					)

        A__		   =		Arrow(start=__lowerCamelCase,end=__lowerCamelCase,color=__lowerCamelCase,buff=0.5					)
        a.next_to(model_arr[0].get_left(),__lowerCamelCase,buff=0.2					)

        model_cpu_arr[0].generate_target()
        model_cpu_arr[0].target.move_to(gpu_rect[0]					)

        A__		   =		MarkupText(
            f"As the input reaches a layer, the hook triggers\nand weights are moved from the CPU\nto the GPU and back.",font_size=24,)
        step_a.move_to([2, 2, 0]					)

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

        A__		   =		{'''run_time''': 1, '''fade_in''': True, '''fade_out''': True, '''buff''': 0.02}

        self.play(
            Write(__lowerCamelCase					),Circumscribe(model_arr[0],color=__lowerCamelCase,**__lowerCamelCase					),Circumscribe(model_cpu_arr[0],color=__lowerCamelCase,**__lowerCamelCase					),Circumscribe(gpu_rect[0],color=__lowerCamelCase,**__lowerCamelCase					),)
        self.play(MoveToTarget(model_cpu_arr[0]					)					)

        A__		   =		a.copy()
        for i in range(6					):
               a_c.next_to(model_arr[i].get_right() + 0.02,__lowerCamelCase,buff=0.2					)

               input.generate_target()
               input.target.move_to(model_arr[i].get_right() + 0.02					)

               A__		   =		AnimationGroup(
                   FadeOut(__lowerCamelCase,run_time=0.5					),MoveToTarget(__lowerCamelCase,run_time=0.5					),FadeIn(__lowerCamelCase,run_time=0.5					),lag_ratio=0.2					)

               self.play(__lowerCamelCase					)

               model_cpu_arr[i].generate_target()
               model_cpu_arr[i].target.move_to(cpu_left_col_base[i]					)

               if i < 5:
                      model_cpu_arr[i + 1].generate_target()
                      model_cpu_arr[i + 1].target.move_to(gpu_rect[0]					)
                      if i >= 1:
                             A__		   =		0.7

                      self.play(
                          Circumscribe(model_arr[i],**__lowerCamelCase					),Circumscribe(cpu_left_col_base[i],**__lowerCamelCase					),Circumscribe(cpu_left_col_base[i + 1],color=__lowerCamelCase,**__lowerCamelCase					),Circumscribe(gpu_rect[0],color=__lowerCamelCase,**__lowerCamelCase					),Circumscribe(model_arr[i + 1],color=__lowerCamelCase,**__lowerCamelCase					),)
                      if i < 1:
                             self.play(
                                 MoveToTarget(model_cpu_arr[i]					),MoveToTarget(model_cpu_arr[i + 1]					),)
                      else:
                             self.play(
                                 MoveToTarget(model_cpu_arr[i],run_time=0.7					),MoveToTarget(model_cpu_arr[i + 1],run_time=0.7					),)
               else:
                      model_cpu_arr[i].generate_target()
                      model_cpu_arr[i].target.move_to(cpu_left_col_base[-1]					)
                      input.generate_target()
                      input.target.next_to(model_arr[-1].get_right(),RIGHT + 0.02,buff=0.2					)

                      self.play(
                          Circumscribe(model_arr[-1],color=__lowerCamelCase,**__lowerCamelCase					),Circumscribe(cpu_left_col_base[-1],color=__lowerCamelCase,**__lowerCamelCase					),Circumscribe(gpu_rect[0],color=__lowerCamelCase,**__lowerCamelCase					),)

                      self.play(MoveToTarget(model_cpu_arr[i]					)					)

               A__		   =		a_c
               A__		   =		a_c.copy()

        input.generate_target()
        input.target.next_to(model_base[-1],RIGHT + 0.02,buff=0.5					)
        self.play(
            FadeOut(__lowerCamelCase					),FadeOut(__lowerCamelCase,run_time=0.5					),)

        A__		   =		MarkupText(f"Inference on a model too large for GPU memory\nis successfully completed.",font_size=24					)
        step_a.move_to([2, 2, 0]					)

        self.play(Write(__lowerCamelCase,run_time=3					),MoveToTarget(__lowerCamelCase					)					)

        self.wait()












def       UpperCamelCase__(			UpperCamelCase__     :			str					,	UpperCamelCase__     :			str    )->str:
       assert x is not None
       assert y is not None

       A__		   =		len(UpperCamelCase__    )
       A__		   =		len(UpperCamelCase__    )

       # declaring the array for storing the dp values
       A__		   =		[[0] * (n + 1) for _ in range(m + 1    )]  # noqa: E741

       for i in range(1					,	m + 1    ):
              for j in range(1					,	n + 1    ):
                     A__		   =		1 if x[i - 1] == y[j - 1] else 0

                     A__		   =		max(l[i - 1][j]					,	l[i][j - 1]					,	l[i - 1][j - 1] + match    )

       A__		   =		''''''
       A__   ,      A__		   =		m, n
       while i > 0 and j > 0:
              A__		   =		1 if x[i - 1] == y[j - 1] else 0

              if l[i][j] == l[i - 1][j - 1] + match:
                     if match == 1:
                            A__		   =		x[i - 1] + seq
                     i -= 1
                     j -= 1
              elif l[i][j] == l[i - 1][j]:
                     i -= 1
              else:
                     j -= 1

       return l[m][n], seq


if __name__ == "__main__":
       a__: Tuple							   =						'AGGTAB'
       a__: Tuple							   =						'GXTXAYB'
       a__: List[Any]							   =						4
       a__: Optional[Any]							   =						'GTAB'

       a__   ,     a__: List[str]							   =						longest_common_subsequence(a, b)
       print('len =', ln, ', sub-sequence =', subseq)
       import doctest

       doctest.testmod()





