



"""simple docstring"""
from argparse import ArgumentParser

from . import BaseTransformersCLICommand

def 			_snake_case		(		UpperCamelCase		:	Optional[int]		):
 return DownloadCommand(args.model    ,	args.cache_dir    ,	args.force    ,	args.trust_remote_code		)



class    SCREAMING_SNAKE_CASE__						(      _lowercase				):

   @staticmethod
   def 			SCREAMING_SNAKE_CASE  (     _SCREAMING_SNAKE_CASE		)						->   Any:





    '''simple docstring'''




    UpperCAmelCase			:      Any			=			parser.add_parser("""download"""		)
    download_parser.add_argument(
        """--cache-dir"""   ,  type=A_   ,  default=A_   ,  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=A_   ,  help="""Name of the model to download"""		)
    download_parser.set_defaults(func=A_		)

   def __init__(     self   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)						->   Union[str, Any]:





    '''simple docstring'''




    UpperCAmelCase			:      int			=			model
    UpperCAmelCase			:      str			=			cache
    UpperCAmelCase			:      str			=			force
    UpperCAmelCase			:      str			=			trust_remote_code




   def 			SCREAMING_SNAKE_CASE  (     self		)						->   Optional[int]:





    '''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 json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class    SCREAMING_SNAKE_CASE__						(      UpperCAmelCase__   ,    unittest.TestCase				):
   __lowerCAmelCase						:     Any		=		XLMTokenizer
   __lowerCAmelCase						:     List[Any]		=		False

   def 			SCREAMING_SNAKE_CASE  (     self		)						->   Optional[int]:





    '''simple docstring'''




    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    UpperCAmelCase			:      Optional[int]			=			[
        """l""",
        """o""",
        """w""",
        """e""",
        """r""",
        """s""",
        """t""",
        """i""",
        """d""",
        """n""",
        """w</w>""",
        """r</w>""",
        """t</w>""",
        """lo""",
        """low""",
        """er</w>""",
        """low</w>""",
        """lowest</w>""",
        """newer</w>""",
        """wider</w>""",
        """<unk>""",
    ]
    UpperCAmelCase			:      str			=			dict(zip(_SCREAMING_SNAKE_CASE   ,  range(len(_SCREAMING_SNAKE_CASE		)		)		)		)
    UpperCAmelCase			:      List[Any]			=			["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

    UpperCAmelCase			:      Optional[Any]			=			os.path.join(self.tmpdirname   ,  VOCAB_FILES_NAMES["""vocab_file"""]		)
    UpperCAmelCase			:      Optional[Any]			=			os.path.join(self.tmpdirname   ,  VOCAB_FILES_NAMES["""merges_file"""]		)
    with open(self.vocab_file   ,  """w"""		) as fp:
     fp.write(json.dumps(_SCREAMING_SNAKE_CASE		)		)
    with open(self.merges_file   ,  """w"""		) as fp:
     fp.write("""\n""".join(_SCREAMING_SNAKE_CASE		)		)

   def 			SCREAMING_SNAKE_CASE  (     self   ,  _SCREAMING_SNAKE_CASE		)						->   Any:





    '''simple docstring'''




    UpperCAmelCase			:      Optional[int]			=			"""lower newer"""
    UpperCAmelCase			:      Dict			=			"""lower newer"""
    return input_text, output_text

   def 			SCREAMING_SNAKE_CASE  (     self		)						->   Optional[int]:





    '''simple docstring'''




    UpperCAmelCase			:      Union[str, Any]			=			XLMTokenizer(self.vocab_file   ,  self.merges_file		)

    UpperCAmelCase			:      Optional[int]			=			"""lower"""
    UpperCAmelCase			:      Optional[int]			=			["""low""", """er</w>"""]
    UpperCAmelCase			:      List[Any]			=			tokenizer.tokenize(_SCREAMING_SNAKE_CASE		)
    self.assertListEqual(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)

    UpperCAmelCase			:      Optional[int]			=			tokens + ["""<unk>"""]
    UpperCAmelCase			:      List[Any]			=			[14, 15, 20]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE		)   ,  _SCREAMING_SNAKE_CASE		)




   @slow
   def 			SCREAMING_SNAKE_CASE  (     self		)						->   Any:





    '''simple docstring'''




    UpperCAmelCase			:      List[Any]			=			XLMTokenizer.from_pretrained("""xlm-mlm-en-2048"""		)

    UpperCAmelCase			:      int			=			tokenizer.encode("""sequence builders"""   ,  add_special_tokens=_SCREAMING_SNAKE_CASE		)
    UpperCAmelCase			:      List[Any]			=			tokenizer.encode("""multi-sequence build"""   ,  add_special_tokens=_SCREAMING_SNAKE_CASE		)

    UpperCAmelCase			:      Tuple			=			tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE		)
    UpperCAmelCase			:      str			=			tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE   ,  _SCREAMING_SNAKE_CASE		)

    assert encoded_sentence == [0] + text + [1]
    assert encoded_pair == [0] + text + [1] + text_a + [1]
