



"""simple docstring"""







import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


A		=						get_tests_dir('fixtures/test_sentencepiece_bpe.model')

class       _a  ( SCREAMING_SNAKE_CASE__     ,	unittest.TestCase):
			__magic_name__     					=     BartphoTokenizer
			__magic_name__     					=     False
			__magic_name__     					=     True



			def 				__lowercase					(			self							:				str		)							->					Dict:
									super().setUp()

									snake_case   :			Union[str, Any]						    = ["▁This", "▁is", "▁a", "▁t", "est"]
									snake_case   :			Union[str, Any]						    = dict(zip(_lowercase   ,	range(len(_lowercase		)		)		)		)
									snake_case   :			Optional[int]						    = {"unk_token": "<unk>"}

									snake_case   :			Union[str, Any]						    = os.path.join(self.tmpdirname   ,	VOCAB_FILES_NAMES["monolingual_vocab_file"]		)
									with open(self.monolingual_vocab_file   ,	"w"   ,	encoding="utf-8"		) as fp:
															for token in vocab_tokens:
																					fp.write(F'''{token} {vocab_tokens[token]}\n'''		)

									snake_case   :			int						    = BartphoTokenizer(_lowercase   ,	self.monolingual_vocab_file   ,	**self.special_tokens_map		)
									tokenizer.save_pretrained(self.tmpdirname		)



			def 				__lowercase					(			self							:				Dict   ,	**_lowercase							:				str		)							->					Optional[Any]:
									kwargs.update(self.special_tokens_map		)
									return BartphoTokenizer.from_pretrained(self.tmpdirname   ,	**_lowercase		)



			def 				__lowercase					(			self							:				Tuple   ,	_lowercase							:				List[Any]		)							->					Union[str, Any]:
									snake_case   :			Tuple						    = "This is a là test"
									snake_case   :			List[Any]						    = "This is a<unk><unk> test"
									return input_text, output_text



			def 				__lowercase					(			self							:				List[str]		)							->					int:
									snake_case   :			Union[str, Any]						    = BartphoTokenizer(_lowercase   ,	self.monolingual_vocab_file   ,	**self.special_tokens_map		)
									snake_case   :			List[str]						    = "This is a là test"
									snake_case   :			Union[str, Any]						    = "▁This ▁is ▁a ▁l à ▁t est".split()
									snake_case   :			Any						    = tokenizer.tokenize(_lowercase		)
									self.assertListEqual(_lowercase   ,	_lowercase		)

									snake_case   :			Optional[int]						    = tokens + [tokenizer.unk_token]
									snake_case   :			int						    = [4, 5, 6, 3, 3, 7, 8, 3]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase		)   ,	_lowercase		)








"""simple docstring"""







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		=						'src/transformers'


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

A		=						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		=						re.compile('\[(.+?)\]\((https://huggingface\.co/.+?)\)')


A		=						{
    'CLIPConfigMixin',
    'DecisionTransformerConfigMixin',
    'EncoderDecoderConfigMixin',
    'RagConfigMixin',
    'SpeechEncoderDecoderConfigMixin',
    'VisionEncoderDecoderConfigMixin',
    'VisionTextDualEncoderConfigMixin',
}

def  __SCREAMING_SNAKE_CASE		(			):
						"""simple docstring"""






						snake_case   :			Union[str, Any]						    = []

						for config_class in list(CONFIG_MAPPING.values() ):
												snake_case   :			List[str]						    = False

												# source code of `config_class`
												snake_case   :			Optional[int]						    = inspect.getsource(lowerCamelCase_ )
												snake_case   :			Optional[int]						    = _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   :			Tuple						    = checkpoint

																		# verify the checkpoint name corresponds to the checkpoint link
																		snake_case   :			Any						    = f'''https://huggingface.co/{ckpt_name}'''
																		if ckpt_link == ckpt_link_from_name:
																								snake_case   :			List[str]						    = True
																								break

												snake_case   :			Any						    = 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   :			List[str]						    = "\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()



