
'''simple docstring'''







from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml


class 			lowerCAmelCase (				yaml.SafeLoader			):




		def     lowercase       (				self					,						UpperCamelCase      ):
								_SCREAMING_SNAKE_CASE				= [self.constructed_objects[key_node] for key_node, _ in node.value]
								_SCREAMING_SNAKE_CASE				= [tuple(SCREAMING_SNAKE_CASE_      ) if isinstance(SCREAMING_SNAKE_CASE_					,						SCREAMING_SNAKE_CASE_      ) else key for key in keys]
								_SCREAMING_SNAKE_CASE				= Counter(SCREAMING_SNAKE_CASE_      )
								_SCREAMING_SNAKE_CASE				= [key for key in counter if counter[key] > 1]
								if duplicate_keys:
														raise TypeError(F'Got duplicate yaml keys: {duplicate_keys}'      )




		def     lowercase       (				self					,						UpperCamelCase					,						UpperCamelCase=False      ):
								_SCREAMING_SNAKE_CASE				= super().construct_mapping(SCREAMING_SNAKE_CASE_					,						deep=SCREAMING_SNAKE_CASE_      )
								self._check_no_duplicates_on_constructed_node(SCREAMING_SNAKE_CASE_      )
								return mapping



def 			_a		(	_SCREAMING_SNAKE_CASE  ):
						_SCREAMING_SNAKE_CASE				= list(readme_content.splitlines()  )
						if full_content and full_content[0] == "---" and "---" in full_content[1:]:
												_SCREAMING_SNAKE_CASE				= full_content[1:].index("---"  ) + 1
												_SCREAMING_SNAKE_CASE				= "\n".join(full_content[1:sep_idx]  )
												return yamlblock, "\n".join(full_content[sep_idx + 1 :]  )

						return None, "\n".join(__a  )


class 			lowerCAmelCase (				__lowerCamelCase			):
		a							:					str       =					{"""train_eval_index"""}  # train-eval-index in the YAML metadata




		@classmethod
		def     lowercase       (				cls					,						UpperCamelCase      ):
								with open(SCREAMING_SNAKE_CASE_					,						encoding="utf-8"      ) as readme_file:
														_SCREAMING_SNAKE_CASE,							_SCREAMING_SNAKE_CASE				= _split_yaml_from_readme(readme_file.read()      )
								if yaml_string is not None:
														return cls.from_yaml_string(SCREAMING_SNAKE_CASE_      )
								else:
														return cls()




		def     lowercase       (				self					,						UpperCamelCase      ):
								if path.exists():
														with open(SCREAMING_SNAKE_CASE_					,						encoding="utf-8"      ) as readme_file:
																				_SCREAMING_SNAKE_CASE				= readme_file.read()
								else:
														_SCREAMING_SNAKE_CASE				= None
								_SCREAMING_SNAKE_CASE				= self._to_readme(SCREAMING_SNAKE_CASE_      )
								with open(SCREAMING_SNAKE_CASE_					,						"w"					,						encoding="utf-8"      ) as readme_file:
														readme_file.write(SCREAMING_SNAKE_CASE_      )




		def     lowercase       (				self					,						UpperCamelCase = None      ):
								if readme_content is not None:
														_SCREAMING_SNAKE_CASE,							_SCREAMING_SNAKE_CASE				= _split_yaml_from_readme(SCREAMING_SNAKE_CASE_      )
														_SCREAMING_SNAKE_CASE				= "---\n" + self.to_yaml_string() + "---\n" + content
								else:
														_SCREAMING_SNAKE_CASE				= "---\n" + self.to_yaml_string() + "---\n"
								return full_content




		@classmethod
		def     lowercase       (				cls					,						UpperCamelCase      ):
								_SCREAMING_SNAKE_CASE				= yaml.load(SCREAMING_SNAKE_CASE_					,						Loader=_NoDuplicateSafeLoader      ) or {}

								# Convert the YAML keys to DatasetMetadata fields
								_SCREAMING_SNAKE_CASE				= {
								    (key.replace("-"					,						"_"      ) if key.replace("-"					,						"_"      ) in cls._FIELDS_WITH_DASHES else key): value
								    for key, value in metadata_dict.items()
								}
								return cls(**SCREAMING_SNAKE_CASE_      )




		def     lowercase       (				self      ):
								return yaml.safe_dump(
								    {
								        (key.replace("_"					,						"-"      ) if key in self._FIELDS_WITH_DASHES else key): value
								        for key, value in self.items()
								    }					,						sort_keys=SCREAMING_SNAKE_CASE_					,						allow_unicode=SCREAMING_SNAKE_CASE_					,						encoding="utf-8"					,						).decode("utf-8"      )
_snake_case				:   str     =				{
    """image-classification""": [],
    """translation""": [],
    """image-segmentation""": [],
    """fill-mask""": [],
    """automatic-speech-recognition""": [],
    """token-classification""": [],
    """sentence-similarity""": [],
    """audio-classification""": [],
    """question-answering""": [],
    """summarization""": [],
    """zero-shot-classification""": [],
    """table-to-text""": [],
    """feature-extraction""": [],
    """other""": [],
    """multiple-choice""": [],
    """text-classification""": [],
    """text-to-image""": [],
    """text2text-generation""": [],
    """zero-shot-image-classification""": [],
    """tabular-classification""": [],
    """tabular-regression""": [],
    """image-to-image""": [],
    """tabular-to-text""": [],
    """unconditional-image-generation""": [],
    """text-retrieval""": [],
    """text-to-speech""": [],
    """object-detection""": [],
    """audio-to-audio""": [],
    """text-generation""": [],
    """conversational""": [],
    """table-question-answering""": [],
    """visual-question-answering""": [],
    """image-to-text""": [],
    """reinforcement-learning""": [],
    """voice-activity-detection""": [],
    """time-series-forecasting""": [],
    """document-question-answering""": [],
}


if __name__ == "__main__":
						from argparse import ArgumentParser

						_snake_case				:   str     =				ArgumentParser(usage="""Validate the yaml metadata block of a README.md file.""")
						ap.add_argument("""readme_filepath""")
						_snake_case				:   str     =				ap.parse_args()

						_snake_case				:   Optional[int]     =				Path(args.readme_filepath)
						_snake_case				:   List[str]     =				DatasetMetadata.from_readme(readme_filepath)
						print(dataset_metadata)
						dataset_metadata.to_readme(readme_filepath)

'''simple docstring'''







import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 			lowerCAmelCase (				__UpperCAmelCase		,     unittest.TestCase			):
		a							:					int       =					LayoutLMTokenizer
		a							:					Optional[int]       =					LayoutLMTokenizerFast
		a							:					Optional[int]       =					True
		a							:					Any       =					True




		def     lowercase       (				self      ):
								super().setUp()

								_SCREAMING_SNAKE_CASE				= [
								    "[UNK]",
								    "[CLS]",
								    "[SEP]",
								    "want",
								    "##want",
								    "##ed",
								    "wa",
								    "un",
								    "runn",
								    "##ing",
								    ",",
								    "low",
								    "lowest",
								]
								_SCREAMING_SNAKE_CASE				= os.path.join(self.tmpdirname					,						VOCAB_FILES_NAMES["vocab_file"]      )
								with open(self.vocab_file					,						"w"					,						encoding="utf-8"      ) as vocab_writer:
														vocab_writer.write("".join([x + "\n" for x in vocab_tokens]      )      )




		def     lowercase       (				self					,						**UpperCamelCase      ):
								return LayoutLMTokenizer.from_pretrained(self.tmpdirname					,						**UpperCamelCase      )




		def     lowercase       (				self					,						UpperCamelCase      ):
								_SCREAMING_SNAKE_CASE				= "UNwant\u00E9d,running"
								_SCREAMING_SNAKE_CASE				= "unwanted, running"
								return input_text, output_text




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= self.tokenizer_class(self.vocab_file      )

								_SCREAMING_SNAKE_CASE				= tokenizer.tokenize("UNwant\u00E9d,running"      )
								self.assertListEqual(UpperCamelCase					,						["un", "##want", "##ed", ",", "runn", "##ing"]      )
								self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase      )					,						[7, 4, 5, 10, 8, 9]      )




		def     lowercase       (				self      ):
								pass