


import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_rjieba
@require_tokenizers
class 			UpperCamelCase__			(			UpperCAmelCase_				,    unittest.TestCase      ):
      a__ :  List[str]		    =    RoFormerTokenizer
      a__ :  Optional[int]		    =    RoFormerTokenizerFast
      a__ :  Dict		    =    True
      a__ :  Optional[int]		    =    True






      def 						__lowercase(  self       : Optional[Any] )	->			Union[str, Any]:
           super().setUp()






      def 						__lowercase(  self       : List[str],		**__lowerCamelCase       : Tuple )	->			Tuple:
           return self.tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base''',		**lowerCamelCase__ )






      def 						__lowercase(  self       : Optional[Any],		**__lowerCamelCase       : Any )	->			Any:
           return self.rust_tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base''',		**lowerCamelCase__ )






      def 						__lowercase(  self       : Optional[Any] )	->			Optional[Any]:
           UpperCamelCase__				:	Optional[Any]										=  """永和服装饰品有限公司,今天天气非常好"""
           UpperCamelCase__				:	int										=  """永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"""
           return input_text, output_text






      def 						__lowercase(  self       : Tuple )	->			int:
           UpperCamelCase__				:	int										=  self.get_tokenizer()
           UpperCamelCase__				:	List[Any]										=  self.get_chinese_input_output_texts()
           UpperCamelCase__				:	Optional[Any]										=  tokenizer.tokenize(lowerCamelCase__ )

           self.assertListEqual(lowerCamelCase__,		output_text.split() )

           UpperCamelCase__				:	Optional[Any]										=  tokens + [tokenizer.unk_token]
           UpperCamelCase__				:	Union[str, Any]										=  [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__ ),		lowerCamelCase__ )






      def 						__lowercase(  self       : str )	->			Union[str, Any]:
           UpperCamelCase__				:	Tuple										=  self.get_rust_tokenizer()
           UpperCamelCase__				:	List[Any]										=  self.get_chinese_input_output_texts()
           UpperCamelCase__				:	List[Any]										=  tokenizer.tokenize(lowerCamelCase__ )
           self.assertListEqual(lowerCamelCase__,		output_text.split() )
           UpperCamelCase__				:	List[str]										=  tokens + [tokenizer.unk_token]
           UpperCamelCase__				:	Dict										=  [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
           self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__ ),		lowerCamelCase__ )






      def 						__lowercase(  self       : Tuple )	->			Optional[Any]:
           pass






      def 						__lowercase(  self       : Tuple )	->			Union[str, Any]:
           pass






      def 						__lowercase(  self       : Optional[int] )	->			List[str]:
           pass












from manim import *







class 		_A						( UpperCAmelCase_ ):

  def    a					(    self						:	Dict			):
     """simple docstring"""

     __UpperCamelCase	:			Tuple					=					Rectangle(height=0.5   ,				width=0.5			)
     __UpperCamelCase	:			Tuple					=					Rectangle(height=0.46   ,				width=0.46			).set_stroke(width=0			)

     __UpperCamelCase	:			Optional[Any]					=					Rectangle(height=0.25   ,				width=0.25			)

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

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

     __UpperCamelCase	:			Dict					=					[mem.copy() for i in range(6			)]
     __UpperCamelCase	:			Tuple					=					VGroup(*lowerCamelCase__			).arrange(lowerCamelCase__   ,				buff=0			)

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

     __UpperCamelCase	:			Tuple					=					[]
     __UpperCamelCase	:			str					=					[]

     for i, rect in enumerate(lowerCamelCase__			):
        __UpperCamelCase	:			Optional[Any]					=					fill.copy().set_fill(lowerCamelCase__   ,				opacity=0.8			)
        target.move_to(lowerCamelCase__			)
        model_arr.append(lowerCamelCase__			)

        __UpperCamelCase	:			Tuple					=					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__			)

     __UpperCamelCase	:			Union[str, Any]					=					[meta_mem.copy() for i in range(6			)]
     __UpperCamelCase	:			Any					=					[meta_mem.copy() for i in range(6			)]
     __UpperCamelCase	:			int					=					VGroup(*lowerCamelCase__			).arrange(lowerCamelCase__   ,				buff=0			)
     __UpperCamelCase	:			Union[str, Any]					=					VGroup(*lowerCamelCase__			).arrange(lowerCamelCase__   ,				buff=0			)
     __UpperCamelCase	:			str					=					VGroup(lowerCamelCase__   ,				lowerCamelCase__			).arrange(lowerCamelCase__   ,				buff=0			)
     __UpperCamelCase	:			Optional[Any]					=					Text("""Disk"""   ,				font_size=24			)
     __UpperCamelCase	:			Optional[Any]					=					Group(lowerCamelCase__   ,				lowerCamelCase__			).arrange(lowerCamelCase__   ,				buff=0.5   ,				aligned_edge=lowerCamelCase__			)
     disk.move_to([-4, -1.25, 0]			)
     self.add(lowerCamelCase__   ,				lowerCamelCase__			)

     __UpperCamelCase	:			Union[str, Any]					=					Square(side_length=2.2			)
     key.move_to([-5, 2, 0]			)

     __UpperCamelCase	:			Optional[Any]					=					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__			)

     __UpperCamelCase	:			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__			)

     __UpperCamelCase	:			Any					=					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__			)			)

     __UpperCamelCase	:			List[str]					=					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__			)			)

     __UpperCamelCase	:			Dict					=					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]			)

     __UpperCamelCase	:			int					=					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			)			)

     __UpperCamelCase	:			Dict					=					{"""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]			)			)

     __UpperCamelCase	:			int					=					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			)

        __UpperCamelCase	:			Tuple					=					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:
              __UpperCamelCase	:			Any					=					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]			)			)

        __UpperCamelCase	:			str					=					a_c
        __UpperCamelCase	:			List[Any]					=					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			)   ,				)

     __UpperCamelCase	:			List[str]					=					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()



