

from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


lowerCAmelCase__	   = logging.get_logger(__name__)

lowerCAmelCase__	   = {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

lowerCAmelCase__	   = {
    """vocab_file""": {
        """allegro/herbert-base-cased""": """https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """allegro/herbert-base-cased""": """https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt"""
    },
}

lowerCAmelCase__	   = {"""allegro/herbert-base-cased""": 5_1_4}
lowerCAmelCase__	   = {}

class 					a__						(					snake_case			):
			"""simple docstring"""







			__lowerCamelCase        =       VOCAB_FILES_NAMES
			__lowerCamelCase        =       PRETRAINED_VOCAB_FILES_MAP
			__lowerCamelCase        =       PRETRAINED_INIT_CONFIGURATION
			__lowerCamelCase        =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__lowerCamelCase        =       HerbertTokenizer


			def __init__(    self      ,      lowercase=None      ,      lowercase=None      ,      lowercase=None      ,      lowercase="<s>"      ,      lowercase="<unk>"      ,      lowercase="<pad>"      ,      lowercase="<mask>"      ,      lowercase="</s>"      ,      **lowercase      ,      )  ->						List[Any]:
							'''simple docstring'''






							super().__init__(
							    lowercase      ,      lowercase      ,      tokenizer_file=lowercase      ,      cls_token=lowercase      ,      unk_token=lowercase      ,      pad_token=lowercase      ,      mask_token=lowercase      ,      sep_token=lowercase      ,      **lowercase      ,      )


			def      UpperCamelCase		(    self      ,      lowercase      ,      lowercase = None       )  ->						List[int]:
							'''simple docstring'''






							A__        =			[self.cls_token_id]
							A__        =			[self.sep_token_id]
							if token_ids_a is None:
											return cls + token_ids_a + sep

							return cls + token_ids_a + sep + token_ids_a + sep


			def      UpperCamelCase		(    self      ,      lowercase      ,      lowercase = None      ,      lowercase = False       )  ->						List[int]:
							'''simple docstring'''






							if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=lowercase      ,      token_ids_a=lowercase      ,      already_has_special_tokens=lowercase       )

							if token_ids_a is None:
											return [1] + ([0] * len(lowercase       )) + [1]
							return [1] + ([0] * len(lowercase       )) + [1] + ([0] * len(lowercase       )) + [1]


			def      UpperCamelCase		(    self      ,      lowercase      ,      lowercase = None       )  ->						List[int]:
							'''simple docstring'''






							A__        =			[self.sep_token_id]
							A__        =			[self.cls_token_id]

							if token_ids_a is None:
											return len(cls + token_ids_a + sep       ) * [0]
							return len(cls + token_ids_a + sep       ) * [0] + len(token_ids_a + sep       ) * [1]


			def      UpperCamelCase		(    self      ,      lowercase      ,      lowercase = None       )  ->						Tuple[str]:
							'''simple docstring'''






							A__        =			self._tokenizer.model.save(lowercase      ,      name=lowercase       )
							return tuple(lowercase       )




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
lowerCAmelCase__	   = """src/transformers"""


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

lowerCAmelCase__	   = 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)`
lowerCAmelCase__	   = re.compile(R"""\[(.+?)\]\((https://huggingface\.co/.+?)\)""")


lowerCAmelCase__	   = {
    """DecisionTransformerConfig""",
    """EncoderDecoderConfig""",
    """MusicgenConfig""",
    """RagConfig""",
    """SpeechEncoderDecoderConfig""",
    """TimmBackboneConfig""",
    """VisionEncoderDecoderConfig""",
    """VisionTextDualEncoderConfig""",
    """LlamaConfig""",
}



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							Union[str, Any]      )			->      Dict:




				'''simple docstring'''





				A__        =			None

				# source code of `config_class`
				A__        =			inspect.getsource(SCREAMING_SNAKE_CASE_      )
				A__        =			_re_checkpoint.findall(SCREAMING_SNAKE_CASE_      )

				# 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 					lowerCAmelCase__							(	)			->      List[str]:




				'''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(SCREAMING_SNAKE_CASE_      )

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

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


if __name__ == "__main__":
	check_config_docstrings_have_checkpoints()

