





"""simple docstring"""





import warnings
from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType

class 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      ['image_processor', 'tokenizer']
      _SCREAMING_SNAKE_CASE					=      'FlavaImageProcessor'
      _SCREAMING_SNAKE_CASE					=      ('BertTokenizer', 'BertTokenizerFast')





      def __init__(       self      ,						lowercase=None      ,						lowercase=None      ,						**lowercase )		->     str:
            lowerCAmelCase  						=       None
            if "feature_extractor" in kwargs:
                  warnings.warn(
                      """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
                      """ instead."""      ,						lowercase      ,						)
                  lowerCAmelCase  						=       kwargs.pop("""feature_extractor""" )

            lowerCAmelCase  						=       image_processor if image_processor is not None else feature_extractor
            if image_processor is None:
                  raise ValueError("""You need to specify an `image_processor`.""" )
            if tokenizer is None:
                  raise ValueError("""You need to specify a `tokenizer`.""" )

            super().__init__(lowercase      ,						lowercase )
            lowerCAmelCase  						=       self.image_processor





      def __call__(       self      ,						lowercase = None      ,						lowercase = None      ,						lowercase = True      ,						lowercase = False      ,						lowercase = False      ,						lowercase = None      ,						lowercase = 0      ,						lowercase = None      ,						lowercase = None      ,						lowercase = None      ,						lowercase = None      ,						lowercase = None      ,						lowercase = False      ,						lowercase = False      ,						lowercase = False      ,						lowercase = False      ,						lowercase = True      ,						lowercase = None      ,						**lowercase      ,						)		->     Dict:

            if text is None and images is None:
                  raise ValueError("""You have to specify either text or images. Both cannot be none.""" )

            if text is not None:
                  lowerCAmelCase  						=       self.tokenizer(
                      text=lowercase      ,						add_special_tokens=lowercase      ,						padding=lowercase      ,						truncation=lowercase      ,						max_length=lowercase      ,						stride=lowercase      ,						pad_to_multiple_of=lowercase      ,						return_token_type_ids=lowercase      ,						return_attention_mask=lowercase      ,						return_overflowing_tokens=lowercase      ,						return_special_tokens_mask=lowercase      ,						return_offsets_mapping=lowercase      ,						return_length=lowercase      ,						verbose=lowercase      ,						return_tensors=lowercase      ,						**lowercase      ,						)
            if images is not None:
                  lowerCAmelCase  						=       self.image_processor(
                      lowercase      ,						return_image_mask=lowercase      ,						return_codebook_pixels=lowercase      ,						return_tensors=lowercase      ,						**lowercase      ,						)

            if text is not None and images is not None:
                  encoding.update(lowercase )
                  return encoding
            elif text is not None:
                  return encoding
            else:
                  return BatchEncoding(data=dict(**lowercase )      ,						tensor_type=lowercase )





      def     _snake_case			(       self      ,						*lowercase      ,						**lowercase )		->     Dict:
            return self.tokenizer.batch_decode(*lowercase      ,						**lowercase )





      def     _snake_case			(       self      ,						*lowercase      ,						**lowercase )		->     List[Any]:
            return self.tokenizer.decode(*lowercase      ,						**lowercase )





      @property
      def     _snake_case			(       self )		->     Any:
            lowerCAmelCase  						=       self.tokenizer.model_input_names
            lowerCAmelCase  						=       self.image_processor.model_input_names
            return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names ) )





      @property
      def     _snake_case			(       self )		->     List[Any]:
            warnings.warn(
                """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""      ,						lowercase      ,						)
            return self.image_processor_class





      @property
      def     _snake_case			(       self )		->     int:
            warnings.warn(
                """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""      ,						lowercase      ,						)
            return self.image_processor








from manim import *







class        A_   (			__lowerCamelCase   ):




	'''simple docstring'''


	def 	SCREAMING_SNAKE_CASE__						(       self       ):
		lowercase       =    Rectangle(height=0.5		,    width=0.5       )
		lowercase       =    Rectangle(height=0.25		,    width=0.25       )
		lowercase       =    Rectangle(height=0.46		,    width=0.46       ).set_stroke(width=0       )

		lowercase       =    [mem.copy() for i in range(6       )]
		lowercase       =    [mem.copy() for i in range(6       )]
		lowercase       =    VGroup(*snake_case       ).arrange(snake_case		,    buff=0       )
		lowercase       =    VGroup(*snake_case       ).arrange(snake_case		,    buff=0       )
		lowercase       =    VGroup(snake_case		,    snake_case       ).arrange(snake_case		,    buff=0       )
		lowercase       =    Text('CPU'		,    font_size=24       )
		lowercase       =    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       )

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

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

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

		lowercase       =    []
		lowercase       =    []
		lowercase       =    []

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

			lowercase       =    Rectangle(height=0.46 / 4		,    width=0.46 / 3       ).set_stroke(width=0.0       ).set_fill(snake_case		,    opacity=0.7       )

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

		self.add(*snake_case		,    *snake_case		,    *snake_case       )

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

		lowercase       =    Text('Loaded Checkpoint'		,    font_size=24       )
		lowercase       =    Group(snake_case		,    snake_case       ).arrange(snake_case		,    buff=0.5		,    aligned_edge=snake_case       )
		checkpoint.move_to([3, 0.5, 0]       )

		self.add(snake_case       )

		lowercase       =    []
		lowercase       =    []

		for i, rect in enumerate(snake_case       ):
			lowercase       =    fill.copy().set_fill(snake_case		,    opacity=0.7       )
			target.move_to(snake_case       )
			ckpt_arr.append(snake_case       )

			lowercase       =    target.copy()
			if i < 5:
				cpu_target.move_to(cpu_left_col_base[i + 1]       )
			else:
				cpu_target.move_to(cpu_right_col_base[i - 5]       )
			ckpt_cpu_arr.append(snake_case       )
		self.add(*snake_case		,    *snake_case       )

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

		lowercase       =    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(snake_case		,    snake_case       )

		lowercase       =    MarkupText(
		    F'''<span fgcolor=\'{BLUE}\'>●</span> Checkpoint'''		,    font_size=18		,    )

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

		lowercase       =    MarkupText(
		    F'''Based on the passed in configuration, weights are stored in\na variety of np.memmaps on disk or to a particular device.'''		,    font_size=24		,    )
		step_a.move_to([2, 2, 0]       )

		lowercase       =    [meta_mem.copy() for i in range(6       )]
		lowercase       =    [meta_mem.copy() for i in range(6       )]
		lowercase       =    VGroup(*snake_case       ).arrange(snake_case		,    buff=0       )
		lowercase       =    VGroup(*snake_case       ).arrange(snake_case		,    buff=0       )
		lowercase       =    VGroup(snake_case		,    snake_case       ).arrange(snake_case		,    buff=0       )
		lowercase       =    Text('Disk'		,    font_size=24       )
		lowercase       =    Group(snake_case		,    snake_case       ).arrange(snake_case		,    buff=0.5		,    aligned_edge=snake_case       )
		disk.move_to([-4.0, -1.25, 0]       )
		self.play(Write(snake_case		,    run_time=3       )		,    Write(snake_case		,    run_time=1       )		,    Create(snake_case		,    run_time=1       )       )

		lowercase       =    []
		for i, rect in enumerate(snake_case       ):
			lowercase       =    rect.copy()
			target.generate_target()
			target.target.move_to(disk_left_col_base[i]       ).scale(0.5       )
			animations.append(MoveToTarget(snake_case		,    run_time=1.5       )       )
		self.play(*snake_case       )

		self.play(FadeOut(snake_case       )       )

		lowercase       =    MarkupText(F'''Then, the checkpoint is removed from memory\nthrough garbage collection.'''		,    font_size=24       )
		step_a.move_to([2, 2, 0]       )

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

		self.play(
		    FadeOut(snake_case		,    snake_case		,    *snake_case		,    *snake_case       )		,    )

		self.wait()

