






"""simple docstring"""


from argparse import ArgumentParser

from . import BaseTransformersCLICommand




def       snake_case  (A_				:Any				):







  '''simple docstring'''

  return DownloadCommand(args.model     ,      args.cache_dir     ,      args.force     ,      args.trust_remote_code				)






class 						snake_case  (  __lowerCamelCase	):





    @staticmethod
    def     lowerCamelCase__				(							A     : ArgumentParser      ):


      '''simple docstring'''




      a					:      int    =       parser.add_parser('download'      )
      download_parser.add_argument(
          '--cache-dir'    ,		type=__lowercase    ,		default=__lowercase    ,		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=__lowercase    ,		help='Name of the model to download'      )
      download_parser.set_defaults(func=__lowercase      )





    def __init__(							self     : Any    ,		A     : str    ,		A     : str    ,		A     : bool    ,		A     : bool      ):


      '''simple docstring'''




      a					:      Union[str, Any]    =       model
      a					:      Union[str, Any]    =       cache
      a					:      Dict    =       force
      a					:      List[str]    =       trust_remote_code





    def     lowerCamelCase__				(							self     : str      ):


      '''simple docstring'''




      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      )












"""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


_UpperCamelCase    :   int   			=						get_tests_dir('fixtures/test_sentencepiece_bpe.model')






class 						snake_case  (  UpperCAmelCase       ,			unittest.TestCase	):
    __magic_name__   					=					BartphoTokenizer
    __magic_name__   					=					False
    __magic_name__   					=					True





    def     lowerCamelCase__				(							self     : List[Any]      ):


      '''simple docstring'''




      super().setUp()

      a					:      Any    =       ['▁This', '▁is', '▁a', '▁t', 'est']
      a					:      List[Any]    =       dict(zip(A    ,		range(len(A      )      )      )      )
      a					:      int    =       {'unk_token': '<unk>'}

      a					:      Tuple    =       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'''      )

      a					:      Optional[int]    =       BartphoTokenizer(A    ,		self.monolingual_vocab_file    ,		**self.special_tokens_map      )
      tokenizer.save_pretrained(self.tmpdirname      )





    def     lowerCamelCase__				(							self     : Dict    ,		**A     : str      ):


      '''simple docstring'''




      kwargs.update(self.special_tokens_map      )
      return BartphoTokenizer.from_pretrained(self.tmpdirname    ,		**A      )





    def     lowerCamelCase__				(							self     : Optional[int]    ,		A     : Dict      ):


      '''simple docstring'''




      a					:      Tuple    =       'This is a là test'
      a					:      List[Any]    =       'This is a<unk><unk> test'
      return input_text, output_text





    def     lowerCamelCase__				(							self     : Optional[Any]      ):


      '''simple docstring'''




      a					:      Tuple    =       BartphoTokenizer(A    ,		self.monolingual_vocab_file    ,		**self.special_tokens_map      )
      a					:      int    =       'This is a là test'
      a					:      int    =       '▁This ▁is ▁a ▁l à ▁t est'.split()
      a					:      str    =       tokenizer.tokenize(A      )
      self.assertListEqual(A    ,		A      )

      a					:      Union[str, Any]    =       tokens + [tokenizer.unk_token]
      a					:      Dict    =       [4, 5, 6, 3, 3, 7, 8, 3]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(A      )    ,		A      )




