


'''simple docstring'''






from argparse import ArgumentParser

from . import BaseTransformersCLICommand


def    _snake_case  (	A			)		->       Optional[Any]:
							return DownloadCommand(args.model					,       args.cache_dir					,       args.force					,       args.trust_remote_code			)






class 						a__							(				a__    ):





							'''simple docstring'''






							@staticmethod
							def     __SCREAMING_SNAKE_CASE				(						lowerCamelCase_  )			->				Dict:
														lowerCAmelCase__			  =      parser.add_parser('''download'''  )
														download_parser.add_argument(
														    '''--cache-dir'''   ,       type=lowerCamelCase_   ,       default=lowerCamelCase_   ,       help='''Path to location to store the models'''  )
														download_parser.add_argument(
														    '''--force'''   ,       action='''store_true'''   ,       help='''Force the model to be download even if already in cache-dir'''  )
														download_parser.add_argument(
														    '''--trust-remote-code'''   ,       action='''store_true'''   ,       help='''Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'''   ,       )
														download_parser.add_argument('''model'''   ,       type=lowerCamelCase_   ,       help='''Name of the model to download'''  )
														download_parser.set_defaults(func=lowerCamelCase_  )







							def __init__(						self   ,       lowerCamelCase_   ,       lowerCamelCase_   ,       lowerCamelCase_   ,       lowerCamelCase_  )			->				Optional[int]:
														lowerCAmelCase__			  =      model
														lowerCAmelCase__			  =      cache
														lowerCAmelCase__			  =      force
														lowerCAmelCase__			  =      trust_remote_code







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[Any]:
														from ..models.auto import AutoModel, AutoTokenizer

														AutoModel.from_pretrained(
														    self._model   ,       cache_dir=self._cache   ,       force_download=self._force   ,       trust_remote_code=self._trust_remote_code  )
														AutoTokenizer.from_pretrained(
														    self._model   ,       cache_dir=self._cache   ,       force_download=self._force   ,       trust_remote_code=self._trust_remote_code  )


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 						__magic_name__					(							snake_case			,      unittest.TestCase				):
     UpperCamelCase_	:List[Any]										=      LayoutLMTokenizer
     UpperCamelCase_	:Dict										=      LayoutLMTokenizerFast
     UpperCamelCase_	:List[str]										=      True
     UpperCamelCase_	:Dict										=      True






     def 	UpperCAmelCase_				(				self	)->     str:
         super().setUp()

         UpperCamelCase_			  =						[
             "[UNK]",
             "[CLS]",
             "[SEP]",
             "want",
             "##want",
             "##ed",
             "wa",
             "un",
             "runn",
             "##ing",
             ",",
             "low",
             "lowest",
         ]
         UpperCamelCase_			  =						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 	UpperCAmelCase_				(				self		,						**_lowercase	)->     List[str]:
         return LayoutLMTokenizer.from_pretrained(self.tmpdirname		,						**_lowercase	)






     def 	UpperCAmelCase_				(				self		,						_lowercase	)->     Union[str, Any]:
         UpperCamelCase_			  =						"UNwant\u00E9d,running"
         UpperCamelCase_			  =						"unwanted, running"
         return input_text, output_text






     def 	UpperCAmelCase_				(				self	)->     Tuple:
         UpperCamelCase_			  =						self.tokenizer_class(self.vocab_file	)

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






     def 	UpperCAmelCase_				(				self	)->     Dict:
         pass
