





import argparse
import collections
import os
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_table.py
snake_case_				=			'src/transformers'
snake_case_				=			'docs/source/en'
snake_case_				=			'.'






def lowerCamelCase__    (							snake_case_	:  List[str]       ,      snake_case_	:  List[str]       ,      snake_case_	:  Dict       )      ->				int:
   with open(snake_case_       ,      '''r'''       ,      encoding='''utf-8'''       ,      newline='''\n'''       ) as f:
      __snake_case							       =   f.readlines()
   # Find the start prompt.
   __snake_case							       =   0
   while not lines[start_index].startswith(snake_case_       ):
      start_index += 1
   start_index += 1

   __snake_case							       =   start_index
   while not lines[end_index].startswith(snake_case_       ):
      end_index += 1
   end_index -= 1

   while len(lines[start_index]       ) <= 1:
      start_index += 1
   while len(lines[end_index]       ) <= 1:
      end_index -= 1
   end_index += 1
   return "".join(lines[start_index:end_index]       ), start_index, end_index, lines


# Add here suffixes that are used to identify models, separated by |
snake_case_				=			'Model|Encoder|Decoder|ForConditionalGeneration'
# Regexes that match TF/Flax/PT model names.
snake_case_				=			re.compile(R'TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
snake_case_				=			re.compile(R'Flax(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')
# Will match any TF or Flax model too so need to be in an else branch afterthe two previous regexes.
snake_case_				=			re.compile(R'(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)')


# This is to make sure the transformers module imported is the one in the repo.
snake_case_				=			direct_transformers_import(TRANSFORMERS_PATH)






def lowerCamelCase__    (							snake_case_	:  List[Any]       )      ->				Union[str, Any]:
   __snake_case							       =   re.finditer('''.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'''       ,      snake_case_       )
   return [m.group(0       ) for m in matches]






def lowerCamelCase__    (							snake_case_	:  Union[str, Any]       ,      snake_case_	:  Tuple       )      ->				Optional[Any]:
   __snake_case							       =   2 if text == '''✅''' or text == '''❌''' else len(snake_case_       )
   __snake_case							       =   (width - text_length) // 2
   __snake_case							       =   width - text_length - left_indent
   return " " * left_indent + text + " " * right_indent






def lowerCamelCase__    (							)      ->				List[str]:
   __snake_case							       =   transformers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
   __snake_case							       =   {
       name: config_maping_names[code]
       for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
       if code in config_maping_names
   }
   __snake_case							       =   {name: config.replace('''Config'''       ,      ''''''       ) for name, config in model_name_to_config.items()}

   # Dictionaries flagging if each model prefix has a slow/fast tokenizer, backend in PT/TF/Flax.
   __snake_case							       =   collections.defaultdict(snake_case_       )
   __snake_case							       =   collections.defaultdict(snake_case_       )
   __snake_case							       =   collections.defaultdict(snake_case_       )
   __snake_case							       =   collections.defaultdict(snake_case_       )
   __snake_case							       =   collections.defaultdict(snake_case_       )

   # Let's lookup through all transformers object (once).
   for attr_name in dir(snake_case_       ):
      __snake_case							       =   None
      if attr_name.endswith('''Tokenizer'''       ):
         __snake_case							       =   slow_tokenizers
         __snake_case							       =   attr_name[:-9]
      elif attr_name.endswith('''TokenizerFast'''       ):
         __snake_case							       =   fast_tokenizers
         __snake_case							       =   attr_name[:-13]
      elif _re_tf_models.match(snake_case_       ) is not None:
         __snake_case							       =   tf_models
         __snake_case							       =   _re_tf_models.match(snake_case_       ).groups()[0]
      elif _re_flax_models.match(snake_case_       ) is not None:
         __snake_case							       =   flax_models
         __snake_case							       =   _re_flax_models.match(snake_case_       ).groups()[0]
      elif _re_pt_models.match(snake_case_       ) is not None:
         __snake_case							       =   pt_models
         __snake_case							       =   _re_pt_models.match(snake_case_       ).groups()[0]

      if lookup_dict is not None:
         while len(snake_case_       ) > 0:
            if attr_name in model_name_to_prefix.values():
               __snake_case							       =   True
               break
            # Try again after removing the last word in the name
            __snake_case							       =   ''''''.join(camel_case_split(snake_case_       )[:-1]       )

    # Let's build that table!
   __snake_case							       =   list(model_name_to_config.keys()       )
   model_names.sort(key=str.lower       )
   __snake_case							       =   ['''Model''', '''Tokenizer slow''', '''Tokenizer fast''', '''PyTorch support''', '''TensorFlow support''', '''Flax Support''']
   # We'll need widths to properly display everything in the center (+2 is to leave one extra space on each side).
   __snake_case							       =   [len(snake_case_       ) + 2 for c in columns]
   __snake_case							       =   max([len(snake_case_       ) for name in model_names]       ) + 2

   # Build the table per se
   __snake_case							       =   '''|''' + '''|'''.join([_center_text(snake_case_       ,      snake_case_       ) for c, w in zip(snake_case_       ,      snake_case_       )]       ) + '''|\n'''
   # Use ":-----:" format to center-aligned table cell texts
   table += "|" + "|".join([''':''' + '''-''' * (w - 2) + ''':''' for w in widths]       ) + "|\n"

   __snake_case							       =   {True: '''✅''', False: '''❌'''}
   for name in model_names:
      __snake_case							       =   model_name_to_prefix[name]
      __snake_case							       =   [
          name,
          check[slow_tokenizers[prefix]],
          check[fast_tokenizers[prefix]],
          check[pt_models[prefix]],
          check[tf_models[prefix]],
          check[flax_models[prefix]],
      ]
      table += "|" + "|".join([_center_text(snake_case_       ,      snake_case_       ) for l, w in zip(snake_case_       ,      snake_case_       )]       ) + "|\n"
   return table






def lowerCamelCase__    (							snake_case_	:  List[str]=False       )      ->				Optional[int]:
   __snake_case       ,	__snake_case       ,	__snake_case       ,	__snake_case							       =   _find_text_in_file(
       filename=os.path.join(snake_case_       ,      '''index.md'''       )       ,      start_prompt='''<!--This table is updated automatically from the auto modules'''       ,      end_prompt='''<!-- End table-->'''       ,      )
   __snake_case							       =   get_model_table_from_auto_modules()

   if current_table != new_table:
      if overwrite:
         with open(os.path.join(snake_case_       ,      '''index.md'''       )       ,      '''w'''       ,      encoding='''utf-8'''       ,      newline='''\n'''       ) as f:
            f.writelines(lines[:start_index] + [new_table] + lines[end_index:]       )
      else:
         raise ValueError(
             '''The model table in the `index.md` has not been updated. Run `make fix-copies` to fix this.'''       )


if __name__ == "__main__":
    snake_case_				=			argparse.ArgumentParser()
    parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
    snake_case_				=			parser.parse_args()

    check_model_table(args.fix_and_overwrite)



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()

