


'''simple docstring'''
import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


UpperCamelCase__    					=      logging.get_logger(__name__)


UpperCamelCase__    					=      {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
UpperCamelCase__    					=      {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json''',
    },
}

UpperCamelCase__    					=      {
    '''RUCAIBox/mvp''': 1_0_2_4,
}




class 			lowerCamelCase_   (	__snake_case      ):
      lowerCAmelCase__		     =     VOCAB_FILES_NAMES
      lowerCAmelCase__		     =     PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__		     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__		     =     ["""input_ids""", """attention_mask"""]
      lowerCAmelCase__		     =     MvpTokenizer






      def __init__(					self				:    Any						,						_A				:    int=None						,						_A				:    Optional[int]=None						,						_A				:    int=None						,						_A				:    Tuple="replace"						,						_A				:    List[Any]="<s>"						,						_A				:    Optional[Any]="</s>"						,						_A				:    Any="</s>"						,						_A				:    Dict="<s>"						,						_A				:    Dict="<unk>"						,						_A				:    Tuple="<pad>"						,						_A				:    Union[str, Any]="<mask>"						,						_A				:    List[str]=False						,						_A				:    Any=True						,						**_A				:    Optional[Any]						,						):


          '''simple docstring'''


          super().__init__(
              UpperCamelCase__						,						UpperCamelCase__						,						tokenizer_file=UpperCamelCase__						,						errors=UpperCamelCase__						,						bos_token=UpperCamelCase__						,						eos_token=UpperCamelCase__						,						sep_token=UpperCamelCase__						,						cls_token=UpperCamelCase__						,						unk_token=UpperCamelCase__						,						pad_token=UpperCamelCase__						,						mask_token=UpperCamelCase__						,						add_prefix_space=UpperCamelCase__						,						trim_offsets=UpperCamelCase__						,						**UpperCamelCase__						,						)

          UpperCAmelCase__			:		Dict													=				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
          if pre_tok_state.get('''add_prefix_space'''						,						UpperCamelCase__ ) != add_prefix_space:
              UpperCAmelCase__			:		int													=				getattr(UpperCamelCase__						,						pre_tok_state.pop('''type''' ) )
              UpperCAmelCase__			:		Optional[Any]													=				add_prefix_space
              UpperCAmelCase__			:		Any													=				pre_tok_class(**UpperCamelCase__ )

          UpperCAmelCase__			:		str													=				add_prefix_space

          # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
          UpperCAmelCase__			:		Union[str, Any]													=				"post_processor"
          UpperCAmelCase__			:		List[str]													=				getattr(self.backend_tokenizer						,						UpperCamelCase__						,						UpperCamelCase__ )
          if tokenizer_component_instance:
              UpperCAmelCase__			:		str													=				json.loads(tokenizer_component_instance.__getstate__() )

              # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
              if "sep" in state:
                  UpperCAmelCase__			:		List[str]													=				tuple(state['''sep'''] )
              if "cls" in state:
                  UpperCAmelCase__			:		List[str]													=				tuple(state['''cls'''] )

              UpperCAmelCase__			:		str													=				False

              if state.get('''add_prefix_space'''						,						UpperCamelCase__ ) != add_prefix_space:
                  UpperCAmelCase__			:		Optional[int]													=				add_prefix_space
                  UpperCAmelCase__			:		Optional[Any]													=				True

              if state.get('''trim_offsets'''						,						UpperCamelCase__ ) != trim_offsets:
                  UpperCAmelCase__			:		int													=				trim_offsets
                  UpperCAmelCase__			:		Union[str, Any]													=				True

              if changes_to_apply:
                  UpperCAmelCase__			:		int													=				getattr(UpperCamelCase__						,						state.pop('''type''' ) )
                  UpperCAmelCase__			:		Optional[Any]													=				component_class(**UpperCamelCase__ )
                  setattr(self.backend_tokenizer						,						UpperCamelCase__						,						UpperCamelCase__ )






      @property
      def lowercase_							(					self				:    List[str] ):


          '''simple docstring'''


          if self._mask_token is None:
              if self.verbose:
                  logger.error('''Using mask_token, but it is not set yet.''' )
              return None
          return str(self._mask_token )






      @mask_token.setter
      def lowercase_							(					self				:    Optional[int]						,						_A				:    List[str] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Tuple													=				AddedToken(UpperCamelCase__						,						lstrip=UpperCamelCase__						,						rstrip=UpperCamelCase__ ) if isinstance(UpperCamelCase__						,						UpperCamelCase__ ) else value
          UpperCAmelCase__			:		int													=				value






      def lowercase_							(					self				:    List[Any]						,						*_A				:    int						,						**_A				:    str ):


          '''simple docstring'''


          UpperCAmelCase__			:		Tuple													=				kwargs.get('''is_split_into_words'''						,						UpperCamelCase__ )

          if is_split_into_words and not self.add_prefix_space:
              raise ValueError(
                  f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                  '''to use it with pretokenized inputs.''' )

          return super()._batch_encode_plus(*UpperCamelCase__						,						**UpperCamelCase__ )






      def lowercase_							(					self				:    int						,						*_A				:    str						,						**_A				:    Any ):


          '''simple docstring'''


          UpperCAmelCase__			:		int													=				kwargs.get('''is_split_into_words'''						,						UpperCamelCase__ )

          if is_split_into_words and not self.add_prefix_space:
              raise ValueError(
                  f"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
                  '''to use it with pretokenized inputs.''' )

          return super()._encode_plus(*UpperCamelCase__						,						**UpperCamelCase__ )






      def lowercase_							(					self				:    Optional[Any]						,						_A				:    str						,						_A				:    Optional[str] = None ):


          '''simple docstring'''


          UpperCAmelCase__			:		Dict													=				self._tokenizer.model.save(UpperCamelCase__						,						name=UpperCamelCase__ )
          return tuple(UpperCamelCase__ )






      def lowercase_							(					self				:    int						,						_A				:    Tuple						,						_A				:    List[str]=None ):


          '''simple docstring'''


          UpperCAmelCase__			:		Dict													=				[self.bos_token_id] + token_ids_a + [self.eos_token_id]
          if token_ids_a is None:
              return output

          return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]






      def lowercase_							(					self				:    Optional[Any]						,						_A				:    List[int]						,						_A				:    Optional[List[int]] = None ):


          '''simple docstring'''


          UpperCAmelCase__			:		List[Any]													=				[self.sep_token_id]
          UpperCAmelCase__			:		List[Any]													=				[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 + sep + token_ids_a + sep ) * [0]



"""simple docstring"""


from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url






@pytest.mark.parametrize("repo_id"					, ["canonical_dataset_name", "org-name/dataset-name"] )
@pytest.mark.parametrize("path"					, ["filename.csv", "filename with blanks.csv"] )
@pytest.mark.parametrize("revision"					, [None, "v2"] )
def     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )	->	List[str]:
		__lowerCAmelCase:       Optional[Any]          =			hf_hub_url(repo_id=__SCREAMING_SNAKE_CASE					, path=__SCREAMING_SNAKE_CASE					, revision=__SCREAMING_SNAKE_CASE )
		assert url == F"https://huggingface.co/datasets/{repo_id}/resolve/{revision or 'main'}/{quote(__SCREAMING_SNAKE_CASE )}"


