


import importlib
import inspect
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
A							:					List[Any]     						=     'src/transformers'


# This is to make sure the transformers module imported is the one in the repo.
A							:					int     						=     importlib.util.spec_from_file_location(
    'transformers',
    os.path.join(PATH_TO_TRANSFORMERS, '__init__.py'),
    submodule_search_locations=[PATH_TO_TRANSFORMERS],
)
A							:					Optional[int]     						=     spec.loader.load_module()

A							:					Union[str, Any]     						=     transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
A							:					Dict     						=     re.compile('\[(.+?)\]\((https://huggingface\.co/.+?)\)')


A							:					Optional[int]     						=     {
    'CLIPConfigMixin',
    'DecisionTransformerConfigMixin',
    'EncoderDecoderConfigMixin',
    'RagConfigMixin',
    'SpeechEncoderDecoderConfigMixin',
    'VisionEncoderDecoderConfigMixin',
    'VisionTextDualEncoderConfigMixin',
}





def 	_lowerCAmelCase       (    )						->	Optional[int]:


						'''simple docstring'''






						__snake_case				=		[]

						for config_class in list(CONFIG_MAPPING.values() ):
												__snake_case				=		False

												# source code of `config_class`
												__snake_case				=		inspect.getsource(_lowerCAmelCase )
												__snake_case				=		_re_checkpoint.findall(_lowerCAmelCase )

												for checkpoint in checkpoints:
																		# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
																		# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
																		__snake_case		,					__snake_case				=		checkpoint

																		# verify the checkpoint name corresponds to the checkpoint link
																		__snake_case				=		F'''https://huggingface.co/{ckpt_name}'''
																		if ckpt_link == ckpt_link_from_name:
																								__snake_case				=		True
																								break

												__snake_case				=		config_class.__name__
												if not checkpoint_found and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
																		configs_without_checkpoint.append(_lowerCAmelCase )

						if len(_lowerCAmelCase ) > 0:
												__snake_case				=		"\n".join(sorted(_lowerCAmelCase ) )
												raise ValueError(F'''The following configurations don\'t contain any valid checkpoint:\n{message}''' )


if __name__ == "__main__":
	check_config_docstrings_have_checkpoints()



from __future__ import annotations

import csv

import requests
from bsa import BeautifulSoup





def 	_lowerCAmelCase       (    _lowerCAmelCase = "" )						->	dict[str, float]:


						'''simple docstring'''






						__snake_case				=		url or "https://www.imdb.com/chart/top/?ref_=nv_mv_250"
						__snake_case				=		BeautifulSoup(requests.get(_lowerCAmelCase ).text      ,	"html.parser" )
						__snake_case				=		soup.find_all("td"      ,	attrs="titleColumn" )
						__snake_case				=		soup.find_all("td"      ,	class_="ratingColumn imdbRating" )
						return {
						    title.a.text: float(rating.strong.text )
						    for title, rating in zip(_lowerCAmelCase      ,	_lowerCAmelCase )
						}





def 	_lowerCAmelCase       (    _lowerCAmelCase = "IMDb_Top_250_Movies.csv" )						->	None:


						'''simple docstring'''






						__snake_case				=		get_imdb_top_aaa_movies()
						with open(_lowerCAmelCase      ,	"w"      ,	newline="" ) as out_file:
												__snake_case				=		csv.writer(_lowerCAmelCase )
												writer.writerow(["Movie title", "IMDb rating"] )
												for title, rating in movies.items():
																		writer.writerow([title, rating] )


if __name__ == "__main__":
	write_movies()





