




import os
from shutil import copyfile
from typing import Optional, Tuple

from ...file_utils import is_sentencepiece_available
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if is_sentencepiece_available():
 from .tokenization_deberta_va import DebertaVaTokenizer
else:
 a_      						=   None

a_      						=   logging.get_logger(__name__)

a_      						=   {"""vocab_file""": """spm.model""", """tokenizer_file""": """tokenizer.json"""}

a_      						=   {
    """vocab_file""": {
        """microsoft/deberta-v2-xlarge""": """https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model""",
        """microsoft/deberta-v2-xxlarge""": """https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model""",
        """microsoft/deberta-v2-xlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model"""
        ),
        """microsoft/deberta-v2-xxlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model"""
        ),
    }
}

a_      						=   {
    """microsoft/deberta-v2-xlarge""": 512,
    """microsoft/deberta-v2-xxlarge""": 512,
    """microsoft/deberta-v2-xlarge-mnli""": 512,
    """microsoft/deberta-v2-xxlarge-mnli""": 512,
}

a_      						=   {
    """microsoft/deberta-v2-xlarge""": {"""do_lower_case""": False},
    """microsoft/deberta-v2-xxlarge""": {"""do_lower_case""": False},
    """microsoft/deberta-v2-xlarge-mnli""": {"""do_lower_case""": False},
    """microsoft/deberta-v2-xxlarge-mnli""": {"""do_lower_case""": False},
}

class        _lowerCamelCase  (	_SCREAMING_SNAKE_CASE      ):

      """simple docstring"""

      lowerCAmelCase__	:       str			=    VOCAB_FILES_NAMES
      lowerCAmelCase__	:       Tuple			=    PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__	:       List[str]			=    PRETRAINED_INIT_CONFIGURATION
      lowerCAmelCase__	:       List[Any]			=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__	:       int			=    DebertaVaTokenizer







      def __init__(   self    :       Union[str, Any]       ,				snake_case    :       Tuple=None       ,				snake_case    :       int=None       ,				snake_case    :       List[Any]=False       ,				snake_case    :       Tuple=False       ,				snake_case    :       Tuple="[CLS]"       ,				snake_case    :       int="[SEP]"       ,				snake_case    :       List[Any]="[UNK]"       ,				snake_case    :       List[str]="[SEP]"       ,				snake_case    :       Union[str, Any]="[PAD]"       ,				snake_case    :       Tuple="[CLS]"       ,				snake_case    :       List[Any]="[MASK]"       ,				**snake_case    :       Optional[int]       ,				):
          super().__init__(
              UpperCAmelCase_       ,				tokenizer_file=UpperCAmelCase_       ,				do_lower_case=UpperCAmelCase_       ,				bos_token=UpperCAmelCase_       ,				eos_token=UpperCAmelCase_       ,				unk_token=UpperCAmelCase_       ,				sep_token=UpperCAmelCase_       ,				pad_token=UpperCAmelCase_       ,				cls_token=UpperCAmelCase_       ,				mask_token=UpperCAmelCase_       ,				split_by_punct=UpperCAmelCase_       ,				**UpperCAmelCase_       ,				)

          __UpperCamelCase     						=  do_lower_case
          __UpperCamelCase     						=  split_by_punct
          __UpperCamelCase     						=  vocab_file
          __UpperCamelCase     						=  False if not self.vocab_file else True







      def 					snake_case		(   self    :       Any       ,				snake_case    :       int       ,				snake_case    :       Optional[int]=None ):

          if token_ids_a is None:
              return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          __UpperCamelCase     						=  [self.cls_token_id]
          __UpperCamelCase     						=  [self.sep_token_id]
          return cls + token_ids_a + sep + token_ids_a + sep







      def 					snake_case		(   self    :       List[str]       ,				snake_case    :       int       ,				snake_case    :       Union[str, Any]=None       ,				snake_case    :       Union[str, Any]=False ):

          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=UpperCAmelCase_       ,				token_ids_a=UpperCAmelCase_       ,				already_has_special_tokens=UpperCAmelCase_ )

          if token_ids_a is not None:
              return [1] + ([0] * len(UpperCAmelCase_ )) + [1] + ([0] * len(UpperCAmelCase_ )) + [1]
          return [1] + ([0] * len(UpperCAmelCase_ )) + [1]







      def 					snake_case		(   self    :       Optional[int]       ,				snake_case    :       Optional[int]       ,				snake_case    :       Union[str, Any]=None ):
          __UpperCamelCase     						=  [self.sep_token_id]
          __UpperCamelCase     						=  [self.cls_token_id]
          if token_ids_a is None:
              return len(cls + token_ids_a + sep ) * [0]
          return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]







      def 					snake_case		(   self    :       Optional[int]       ,				snake_case    :       Dict       ,				snake_case    :       List[str] = None ):
          if not self.can_save_slow_tokenizer:
              raise ValueError(
                  '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                  '''tokenizer.''' )

          if not os.path.isdir(UpperCAmelCase_ ):
              logger.error(F"Vocabulary path ({save_directory}) should be a directory" )
              return
          __UpperCamelCase     						=  os.path.join(
              UpperCAmelCase_       ,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )

          if os.path.abspath(self.vocab_file ) != os.path.abspath(UpperCAmelCase_ ):
              copyfile(self.vocab_file       ,				UpperCAmelCase_ )

          return (out_vocab_file,)











"""simple docstring"""







import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils





class    UpperCamelCase     (			unittest.TestCase    ):




	"""simple docstring"""






	@patch("""diffusers.utils.hub_utils.get_full_repo_name"""					)
	def 					lowerCamelCase__ (			self							,UpperCAmelCase_					):
			_lowercase							:      List[Any]			=					"""full_repo_name"""
			with TemporaryDirectory() as tmpdir:
					# Dummy args values
					_lowercase							:      Optional[Any]			=					Mock()
					_lowercase							:      int			=					tmpdir
					_lowercase							:      int			=					0
					_lowercase							:      Optional[Any]			=					"""hub_token"""
					_lowercase							:      Optional[Any]			=					"""dataset_name"""
					_lowercase							:      List[Any]			=					0.01
					_lowercase							:      Tuple			=					10_00_00
					_lowercase							:      Optional[Any]			=					1_00_00
					_lowercase							:      Optional[int]			=					0.01
					_lowercase							:      Tuple			=					0.02
					_lowercase							:      int			=					0.03
					_lowercase							:      Optional[int]			=					0.0005
					_lowercase							:      Tuple			=					0.000001
					_lowercase							:      int			=					1
					_lowercase							:      List[str]			=					10
					_lowercase							:      Optional[Any]			=					0.001
					_lowercase							:      int			=					0.1
					_lowercase							:      Optional[Any]			=					0.2
					_lowercase							:      Tuple			=					True

					# Model card mush be rendered and saved
					diffusers.utils.hub_utils.create_model_card(UpperCAmelCase_							,model_name="""model_name"""					)
					self.assertTrue((Path(UpperCAmelCase_					) / """README.md""").is_file()					)



