
"""simple docstring"""





import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCamelCase_					:						Union[str, Any]				= logging.get_logger(__name__)

UpperCamelCase_					:						Optional[int]				= {'''vocab_file''': '''vocab.json'''}

UpperCamelCase_					:						Union[str, Any]				= {
    '''vocab_file''': {
        '''mgp-str''': '''https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json''',
    }
}

UpperCamelCase_					:						str				= {'''mgp-str''': 27}



class __lowerCAmelCase				(					_lowercase      ):




			"""simple docstring"""







			snake_case	      =				VOCAB_FILES_NAMES
			snake_case	      =				PRETRAINED_VOCAB_FILES_MAP
			snake_case	      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




			def __init__(				self						:					Union[str, Any]       ,   _snake_case						:					Optional[Any]       ,   _snake_case						:					Dict="[GO]"       ,   _snake_case						:					List[Any]="[GO]"       ,   _snake_case						:					Dict="[s]"       ,   _snake_case						:					Optional[int]="[GO]"       ,   **_snake_case						:					List[Any]	)      -> Union[str, Any]:







								"""simple docstring"""
								super().__init__(
								    unk_token=_snake_case       ,   bos_token=_snake_case       ,   eos_token=_snake_case       ,   pad_token=_snake_case       ,   **_snake_case       ,   )

								with open(_snake_case       ,   encoding="utf-8"	) as vocab_handle:
													A_				 =						json.load(_snake_case	)
								A_				 =						{v: k for k, v in self.vocab.items()}




			@property
			def      lowerCamelCase__     (				self						:					Union[str, Any]	)      -> List[Any]:







								"""simple docstring"""
								return len(self.vocab	)




			def      lowerCamelCase__     (				self						:					int	)      -> int:







								"""simple docstring"""
								return dict(self.vocab       ,   **self.added_tokens_encoder	)




			def      lowerCamelCase__     (				self						:					str       ,   _snake_case						:					Optional[Any]	)      -> Union[str, Any]:







								"""simple docstring"""
								A_				 =						[]
								for s in text:
													char_tokens.extend(_snake_case	)
								return char_tokens




			def      lowerCamelCase__     (				self						:					List[str]       ,   _snake_case						:					List[str]	)      -> Tuple:







								"""simple docstring"""
								return self.vocab.get(_snake_case       ,   self.vocab.get(self.unk_token	)	)




			def      lowerCamelCase__     (				self						:					Tuple       ,   _snake_case						:					Tuple	)      -> List[str]:







								"""simple docstring"""
								return self.decoder.get(_snake_case	)






			def      lowerCamelCase__     (				self						:					Tuple       ,   _snake_case						:					str       ,   _snake_case						:					Optional[str] = None	)      -> Tuple[str]:







								"""simple docstring"""
								if not os.path.isdir(_snake_case	):
													logger.error("Vocabulary path ({}) should be a directory".format(_snake_case	)	)
													return
								A_				 =						os.path.join(
								    _snake_case       ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)

								with open(_snake_case       ,   "w"       ,   encoding="utf-8"	) as f:
													f.write(json.dumps(self.vocab       ,   indent=2       ,   sort_keys=_snake_case       ,   ensure_ascii=_snake_case	) + "\n"	)

								return (vocab_file,)






"""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
UpperCamelCase_					:						Optional[Any]				= '''src/transformers'''


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

UpperCamelCase_					:						List[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)`
UpperCamelCase_					:						str				= re.compile(R'''\[(.+?)\]\((https://huggingface\.co/.+?)\)''')


UpperCamelCase_					:						Dict				= {
    '''DecisionTransformerConfig''',
    '''EncoderDecoderConfig''',
    '''MusicgenConfig''',
    '''RagConfig''',
    '''SpeechEncoderDecoderConfig''',
    '''TimmBackboneConfig''',
    '''VisionEncoderDecoderConfig''',
    '''VisionTextDualEncoderConfig''',
    '''LlamaConfig''',
}
def 							A_     (__a				):

					'''simple docstring'''





					A_				 =						None

					# source code of `config_class`
					A_				 =						inspect.getsource(__a				)
					A_				 =						_re_checkpoint.findall(__a				)

					# 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("/"				):
															A_				 =						ckpt_link[:-1]

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

					return checkpoint
def 							A_     ():

					'''simple docstring'''





					A_				 =						[]

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

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

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


if __name__ == "__main__":
		check_config_docstrings_have_checkpoints()




