
import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class __snake_case		(      lowerCAmelCase					,	unittest.TestCase     ):
    _a		:						str=				None
    _a		:						int=				BloomTokenizerFast
    _a		:						Optional[Any]=				BloomTokenizerFast
    _a		:						Dict=				True
    _a		:						str=				False
    _a		:						Union[str, Any]=				"tokenizer_file"
    _a		:						Union[str, Any]=				{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           super().setUp()
           lowercase							:     Optional[int]       	=      BloomTokenizerFast.from_pretrained("""bigscience/tokenizer"""      )
           tokenizer.save_pretrained(self.tmpdirname      )
    def       _SCREAMING_SNAKE_CASE       (  self		,**snake_case      ):



           '''simple docstring'''







           kwargs.update(self.special_tokens_map      )
           return BloomTokenizerFast.from_pretrained(self.tmpdirname		,**snake_case      )
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           lowercase							:     str       	=      self.get_rust_tokenizer()

           lowercase							:     List[str]       	=      ["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
           lowercase							:     int       	=      [[2175, 23714, 73173, 144252, 2], [77, 132619, 3478, 368, 109586, 35433, 2]]

           lowercase							:     int       	=      tokenizer.batch_encode_plus(snake_case      )["""input_ids"""]
           self.assertListEqual(snake_case		,snake_case      )

           lowercase							:     int       	=      tokenizer.batch_decode(snake_case      )
           self.assertListEqual(snake_case		,snake_case      )
    def       _SCREAMING_SNAKE_CASE       (  self		,snake_case=6      ):



           '''simple docstring'''







           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"      ):
                         lowercase							:     Optional[int]       	=      self.rust_tokenizer_class.from_pretrained(snake_case		,**snake_case      )
                         # tokenizer_r.pad_token = None # Hotfixing padding = None
                         # Simple input
                         lowercase							:     str       	=      """This is a simple input"""
                         lowercase							:     List[str]       	=      ["""This is a simple input 1""", """This is a simple input 2"""]
                         lowercase							:     Optional[int]       	=      ("""This is a simple input""", """This is a pair""")
                         lowercase							:     str       	=      [
                             ("""This is a simple input 1""", """This is a simple input 2"""),
                             ("""This is a simple pair 1""", """This is a simple pair 2"""),
                         ]

                         # Simple input tests
                         try:
                                tokenizer_r.encode(snake_case		,max_length=snake_case      )
                                tokenizer_r.encode_plus(snake_case		,max_length=snake_case      )

                                tokenizer_r.batch_encode_plus(snake_case		,max_length=snake_case      )
                                tokenizer_r.encode(snake_case		,max_length=snake_case      )
                                tokenizer_r.batch_encode_plus(snake_case		,max_length=snake_case      )
                         except ValueError:
                                self.fail("""Bloom Tokenizer should be able to deal with padding"""      )

                         lowercase							:     List[Any]       	=      None  # Hotfixing padding = None
                         self.assertRaises(snake_case		,tokenizer_r.encode		,snake_case		,max_length=snake_case		,padding="""max_length"""      )

                         # Simple input
                         self.assertRaises(snake_case		,tokenizer_r.encode_plus		,snake_case		,max_length=snake_case		,padding="""max_length"""      )

                         # Simple input
                         self.assertRaises(
                             snake_case		,tokenizer_r.batch_encode_plus		,snake_case		,max_length=snake_case		,padding="""max_length"""		,)

                         # Pair input
                         self.assertRaises(snake_case		,tokenizer_r.encode		,snake_case		,max_length=snake_case		,padding="""max_length"""      )

                         # Pair input
                         self.assertRaises(snake_case		,tokenizer_r.encode_plus		,snake_case		,max_length=snake_case		,padding="""max_length"""      )

                         # Pair input
                         self.assertRaises(
                             snake_case		,tokenizer_r.batch_encode_plus		,snake_case		,max_length=snake_case		,padding="""max_length"""		,)
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           lowercase							:     Optional[Any]       	=      self.get_rust_tokenizer()
           lowercase							:     Optional[Any]       	=      load_dataset("""xnli"""		,"""all_languages"""		,split="""test"""		,streaming=snake_case      )

           lowercase							:     Tuple       	=      next(iter(snake_case      )      )["""premise"""]  # pick up one data
           lowercase							:     Any       	=      list(sample_data.values()      )

           lowercase							:     str       	=      list(map(tokenizer.encode		,snake_case      )      )
           lowercase							:     Tuple       	=      [tokenizer.decode(snake_case		,clean_up_tokenization_spaces=snake_case      ) for x in output_tokens]
           self.assertListEqual(snake_case		,snake_case      )
    def       _SCREAMING_SNAKE_CASE       (  self      ):



           '''simple docstring'''







           self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map      )		,1      )
           self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()      )[0]      )		,1      )

from manim import *





class      A							(				UpperCAmelCase_     ):


   def 			lowercase_      (self     :						Union[str, Any]		)						->				List[str]:
         """simple docstring"""



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

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

         UpperCAmelCase__								=  [mem.copy() for i in range(6		)]
         UpperCAmelCase__								=  [mem.copy() for i in range(6		)]
         UpperCAmelCase__								=  VGroup(*__UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0		)
         UpperCAmelCase__								=  VGroup(*__UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0		)
         UpperCAmelCase__								=  VGroup(__UpperCAmelCase       ,  __UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0		)
         UpperCAmelCase__								=  Text("CPU"       ,  font_size=2_4		)
         UpperCAmelCase__								=  Group(__UpperCAmelCase       ,  __UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0.5       ,  aligned_edge=__UpperCAmelCase		)
         cpu.move_to([-2.5, -0.5, 0]		)
         self.add(__UpperCAmelCase		)

         UpperCAmelCase__								=  [mem.copy() for i in range(4		)]
         UpperCAmelCase__								=  VGroup(*__UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0		)
         UpperCAmelCase__								=  Text("GPU"       ,  font_size=2_4		)
         UpperCAmelCase__								=  Group(__UpperCAmelCase       ,  __UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0.5       ,  aligned_edge=__UpperCAmelCase		)
         gpu.move_to([-1, -1, 0]		)
         self.add(__UpperCAmelCase		)

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

         UpperCAmelCase__								=  Text("Model"       ,  font_size=2_4		)
         UpperCAmelCase__								=  Group(__UpperCAmelCase       ,  __UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0.5       ,  aligned_edge=__UpperCAmelCase		)
         model.move_to([3, -1.0, 0]		)
         self.add(__UpperCAmelCase		)

         UpperCAmelCase__								=  []
         UpperCAmelCase__								=  []

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

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

         self.add(*__UpperCAmelCase       ,  *__UpperCAmelCase		)

         UpperCAmelCase__								=  [meta_mem.copy() for i in range(6		)]
         UpperCAmelCase__								=  [meta_mem.copy() for i in range(6		)]
         UpperCAmelCase__								=  VGroup(*__UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0		)
         UpperCAmelCase__								=  VGroup(*__UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0		)
         UpperCAmelCase__								=  VGroup(__UpperCAmelCase       ,  __UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0		)
         UpperCAmelCase__								=  Text("Disk"       ,  font_size=2_4		)
         UpperCAmelCase__								=  Group(__UpperCAmelCase       ,  __UpperCAmelCase		).arrange(__UpperCAmelCase       ,  buff=0.5       ,  aligned_edge=__UpperCAmelCase		)
         disk.move_to([-4, -1.25, 0]		)
         self.add(__UpperCAmelCase       ,  __UpperCAmelCase		)

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

         UpperCAmelCase__								=  MarkupText(
             f"""<b>Key:</b>\n\n<span fgcolor='{YELLOW}'>●</span> Empty Model"""       ,  font_size=1_8       ,  )

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

         self.add(__UpperCAmelCase       ,  __UpperCAmelCase		)

         UpperCAmelCase__								=  MarkupText(
             f"""<span fgcolor='{BLUE}'>●</span> Checkpoint"""       ,  font_size=1_8       ,  )

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

         UpperCAmelCase__								=  MarkupText(
             f"""Now watch as an input is passed through the model\nand how the memory is utilized and handled."""       ,  font_size=2_4       ,  )
         step_a.move_to([2, 2, 0]		)

         self.play(Write(__UpperCAmelCase		)		)

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

         self.play(Write(__UpperCAmelCase		)		)

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

         self.play(FadeOut(__UpperCAmelCase		)		)

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

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

         UpperCAmelCase__								=  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=2_4       ,  )
         step_a.move_to([2, 2, 0]		)

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

         UpperCAmelCase__								=  {"run_time": 1, "fade_in": True, "fade_out": True, "buff": 0.02}

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

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

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

               UpperCAmelCase__								=  AnimationGroup(
                   FadeOut(__UpperCAmelCase       ,  run_time=0.5		)       ,  MoveToTarget(__UpperCAmelCase       ,  run_time=0.5		)       ,  FadeIn(__UpperCAmelCase       ,  run_time=0.5		)       ,  lag_ratio=0.2		)

               self.play(__UpperCAmelCase		)

               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__								=  0.7

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

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

               UpperCAmelCase__								=  a_c
               UpperCAmelCase__								=  a_c.copy()

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

         UpperCAmelCase__								=  MarkupText(f"""Inference on a model too large for GPU memory\nis successfully completed."""       ,  font_size=2_4		)
         step_a.move_to([2, 2, 0]		)

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

         self.wait()



