


'''simple docstring'''



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
_lowercase      :      int            =					"""src/transformers"""
_lowercase      :      int            =					"""docs/source/en"""
_lowercase      :      Union[str, Any]            =					"""."""


def 				lowerCamelCase__				(	A       :      Optional[Any]				,       A       :      Tuple				,       A       :      Tuple					):




						'''simple docstring'''






						with open(A				,       '''r'''				,       encoding='''utf-8'''				,       newline='''\n'''					) as f:
												UpperCAmelCase					    =     f.readlines()
						# Find the start prompt.
						UpperCAmelCase					    =     0
						while not lines[start_index].startswith(A					):
												start_index += 1
						start_index += 1

						UpperCAmelCase					    =     start_index
						while not lines[end_index].startswith(A					):
												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 |
_lowercase      :      Tuple            =					"""Model|Encoder|Decoder|ForConditionalGeneration"""
# Regexes that match TF/Flax/PT model names.
_lowercase      :      Any            =					re.compile(r"""TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
_lowercase      :      Tuple            =					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.
_lowercase      :      Dict            =					re.compile(r"""(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")


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


def 				lowerCamelCase__				(	A       :      Union[str, Any]					):




						'''simple docstring'''






						UpperCAmelCase					    =     re.finditer('''.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'''				,       A					)
						return [m.group(0					) for m in matches]


def 				lowerCamelCase__				(	A       :      List[Any]				,       A       :      List[Any]					):




						'''simple docstring'''






						UpperCAmelCase					    =     2 if text == '''✅''' or text == '''❌''' else len(A					)
						UpperCAmelCase					    =     (width - text_length) // 2
						UpperCAmelCase					    =     width - text_length - left_indent
						return " " * left_indent + text + " " * right_indent


def 				lowerCamelCase__				(	):




						'''simple docstring'''






						UpperCAmelCase					    =     transformers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
						UpperCAmelCase					    =     {
						    name: config_maping_names[code]
						    for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
						    if code in config_maping_names
						}
						UpperCAmelCase					    =     {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.
						UpperCAmelCase					    =     collections.defaultdict(A					)
						UpperCAmelCase					    =     collections.defaultdict(A					)
						UpperCAmelCase					    =     collections.defaultdict(A					)
						UpperCAmelCase					    =     collections.defaultdict(A					)
						UpperCAmelCase					    =     collections.defaultdict(A					)

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

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

    # Let's build that table!
						UpperCAmelCase					    =     list(model_name_to_config.keys()					)
						model_names.sort(key=str.lower					)
						UpperCAmelCase					    =     ['''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).
						UpperCAmelCase					    =     [len(A					) + 2 for c in columns]
						UpperCAmelCase					    =     max([len(A					) for name in model_names]					) + 2

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

						UpperCAmelCase					    =     {True: '''✅''', False: '''❌'''}
						for name in model_names:
												UpperCAmelCase					    =     model_name_to_prefix[name]
												UpperCAmelCase					    =     [
												    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(A				,       A					) for l, w in zip(A				,       A					)]					) + "|\n"
						return table


def 				lowerCamelCase__				(	A       :      Any=False					):




						'''simple docstring'''






						UpperCAmelCase    ,    UpperCAmelCase    ,    UpperCAmelCase    ,    UpperCAmelCase					    =     _find_text_in_file(
						    filename=os.path.join(A				,       '''index.md'''					)				,       start_prompt='''<!--This table is updated automatically from the auto modules'''				,       end_prompt='''<!-- End table-->'''				,       )
						UpperCAmelCase					    =     get_model_table_from_auto_modules()

						if current_table != new_table:
												if overwrite:
																		with open(os.path.join(A				,       '''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__":
	_lowercase      :      Tuple            =					argparse.ArgumentParser()
	parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
	_lowercase      :      Tuple            =					parser.parse_args()

	check_model_table(args.fix_and_overwrite)









'''simple docstring'''



def 				lowerCamelCase__				(	A       :      int				,       A       :      int					):




						'''simple docstring'''






						return int(input_a == input_a == 0					)


def 				lowerCamelCase__				(	):




						'''simple docstring'''






						print('''Truth Table of NOR Gate:'''					)
						print('''|   Input 1   |  Input 2  | Output |'''					)
						print(f"""|      0      |    0      |  {nor_gate(0				,       0					)}     |"""					)
						print(f"""|      0      |    1      |  {nor_gate(0				,       1					)}     |"""					)
						print(f"""|      1      |    0      |  {nor_gate(1				,       0					)}     |"""					)
						print(f"""|      1      |    1      |  {nor_gate(1				,       1					)}     |"""					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()





