





'''simple docstring'''




import inspect
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_config_docstrings.py
a__					:			Dict          =     '''src/transformers'''


# This is to make sure the transformers module imported is the one in the repo.
a__					:			Union[str, Any]          =     direct_transformers_import(PATH_TO_TRANSFORMERS)

a__					:			Optional[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__					:			Tuple          =     re.compile(r'''\[(.+?)\]\((https://huggingface\.co/.+?)\)''')


a__					:			Optional[int]          =     {
    '''DecisionTransformerConfig''',
    '''EncoderDecoderConfig''',
    '''MusicgenConfig''',
    '''RagConfig''',
    '''SpeechEncoderDecoderConfig''',
    '''TimmBackboneConfig''',
    '''VisionEncoderDecoderConfig''',
    '''VisionTextDualEncoderConfig''',
    '''LlamaConfig''',
}




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->int:
	snake_case__	       =   None

	# source code of `config_class`
	snake_case__	       =   inspect.getsource(UpperCAmelCase_							)
	snake_case__	       =   _re_checkpoint.findall(UpperCAmelCase_							)

	# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
	# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
	for ckpt_name, ckpt_link in checkpoints:
		# allow the link to end with `/`
		if ckpt_link.endswith('/'							):
			snake_case__	       =   ckpt_link[:-1]

		# 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__	       =   ckpt_name
			break

	return checkpoint




def 						__lowerCamelCase			(	)   ->Tuple:
	snake_case__	       =   []

	for config_class in list(CONFIG_MAPPING.values()							):
		# Skip deprecated models
		if "models.deprecated" in config_class.__module__:
			continue
		snake_case__	       =   get_checkpoint_from_config_class(UpperCAmelCase_							)

		snake_case__	       =   config_class.__name__
		if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
			configs_without_checkpoint.append(UpperCAmelCase_							)

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


if __name__ == "__main__":
			check_config_docstrings_have_checkpoints()










'''simple docstring'''




import requests
from bsa import BeautifulSoup




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_							)   ->str:
	snake_case__	       =   BeautifulSoup(requests.get(UpperCAmelCase_					,				params=UpperCAmelCase_							).content					,				'html.parser'							)
	snake_case__	       =   soup.find('div'					,				attrs={'class': 'gs_ri'}							)
	snake_case__	       =   div.find('div'					,				attrs={'class': 'gs_fl'}							).find_all('a'							)
	return anchors[2].get_text()


if __name__ == "__main__":
			a__					:			int          =     {
			    '''title''': (
			        '''Precisely geometry controlled microsupercapacitors for ultrahigh areal '''
			        '''capacitance, volumetric capacitance, and energy density'''
			    ),
			    '''journal''': '''Chem. Mater.''',
			    '''volume''': 30,
			    '''pages''': '''3979-3990''',
			    '''year''': 2018,
			    '''hl''': '''en''',
			}
			print(get_citation('''https://scholar.google.com/scholar_lookup''', params=params))



