
import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


UpperCAmelCase__		:     Dict     			=      logging.get_logger(__name__)

UpperCAmelCase__		:     Optional[int]     			=      {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

UpperCAmelCase__		:     Dict     			=      {
    'vocab_file': {
        'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt',
        'distilbert-base-uncased-distilled-squad': (
            'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt'
        ),
        'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt',
        'distilbert-base-cased-distilled-squad': (
            'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt'
        ),
        'distilbert-base-german-cased': 'https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt',
        'distilbert-base-multilingual-cased': (
            'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json',
        'distilbert-base-uncased-distilled-squad': (
            'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json'
        ),
        'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json',
        'distilbert-base-cased-distilled-squad': (
            'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json'
        ),
        'distilbert-base-german-cased': (
            'https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json'
        ),
        'distilbert-base-multilingual-cased': (
            'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json'
        ),
    },
}

UpperCAmelCase__		:     Dict     			=      {
    'distilbert-base-uncased': 512,
    'distilbert-base-uncased-distilled-squad': 512,
    'distilbert-base-cased': 512,
    'distilbert-base-cased-distilled-squad': 512,
    'distilbert-base-german-cased': 512,
    'distilbert-base-multilingual-cased': 512,
}


UpperCAmelCase__		:     List[Any]     			=      {
    'distilbert-base-uncased': {'do_lower_case': True},
    'distilbert-base-uncased-distilled-squad': {'do_lower_case': True},
    'distilbert-base-cased': {'do_lower_case': False},
    'distilbert-base-cased-distilled-squad': {'do_lower_case': False},
    'distilbert-base-german-cased': {'do_lower_case': False},
    'distilbert-base-multilingual-cased': {'do_lower_case': False},
}






class UpperCAmelCase   (						SCREAMING_SNAKE_CASE__   ):





   '''simple docstring'''
   __UpperCamelCase		:    Optional[int] 				=    VOCAB_FILES_NAMES
   __UpperCamelCase		:    int 				=    PRETRAINED_VOCAB_FILES_MAP
   __UpperCamelCase		:    Union[str, Any] 				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCamelCase		:    Tuple 				=    PRETRAINED_INIT_CONFIGURATION
   __UpperCamelCase		:    Optional[int] 				=    ['''input_ids''', '''attention_mask''']
   __UpperCamelCase		:    Dict 				=    DistilBertTokenizer


   def __init__(					self     :							int			,			lowerCAmelCase_     :							Dict=None			,			lowerCAmelCase_     :							Tuple=None			,			lowerCAmelCase_     :							Dict=True			,			lowerCAmelCase_     :							List[Any]="[UNK]"			,			lowerCAmelCase_     :							Dict="[SEP]"			,			lowerCAmelCase_     :							Optional[int]="[PAD]"			,			lowerCAmelCase_     :							Optional[int]="[CLS]"			,			lowerCAmelCase_     :							Tuple="[MASK]"			,			lowerCAmelCase_     :							Union[str, Any]=True			,			lowerCAmelCase_     :							str=None			,			**lowerCAmelCase_     :							List[str]			,			):

      """simple docstring"""
      super().__init__(
          lowerCAmelCase_			,			tokenizer_file=lowerCAmelCase_			,			do_lower_case=lowerCAmelCase_			,			unk_token=lowerCAmelCase_			,			sep_token=lowerCAmelCase_			,			pad_token=lowerCAmelCase_			,			cls_token=lowerCAmelCase_			,			mask_token=lowerCAmelCase_			,			tokenize_chinese_chars=lowerCAmelCase_			,			strip_accents=lowerCAmelCase_			,			**lowerCAmelCase_			,			)

      _A:  Optional[Any]					=       json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
      if (
          normalizer_state.get('''lowercase'''			,			lowerCAmelCase_     ) != do_lower_case
          or normalizer_state.get('''strip_accents'''			,			lowerCAmelCase_     ) != strip_accents
          or normalizer_state.get('''handle_chinese_chars'''			,			lowerCAmelCase_     ) != tokenize_chinese_chars
      ):
         _A:  int					=       getattr(lowerCAmelCase_			,			normalizer_state.pop('''type'''     )     )
         _A:  int					=       do_lower_case
         _A:  List[Any]					=       strip_accents
         _A:  Optional[int]					=       tokenize_chinese_chars
         _A:  Union[str, Any]					=       normalizer_class(**lowerCAmelCase_     )

      _A:  Tuple					=       do_lower_case


   def  __magic_name__				(					self     :							Tuple			,			lowerCAmelCase_     :							List[Any]			,			lowerCAmelCase_     :							Any=None     ):

      """simple docstring"""
      _A:  Optional[Any]					=       [self.cls_token_id] + token_ids_a + [self.sep_token_id]

      if token_ids_a:
         output += token_ids_a + [self.sep_token_id]

      return output


   def  __magic_name__				(					self     :							Dict			,			lowerCAmelCase_     :							List[int]			,			lowerCAmelCase_     :							Optional[List[int]] = None     ):

      """simple docstring"""
      _A:  Union[str, Any]					=       [self.sep_token_id]
      _A:  Dict					=       [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  __magic_name__				(					self     :							int			,			lowerCAmelCase_     :							str			,			lowerCAmelCase_     :							Optional[str] = None     ):

      """simple docstring"""
      _A:  Tuple					=       self._tokenizer.model.save(lowerCAmelCase_			,			name=lowerCAmelCase_     )
      return tuple(lowerCAmelCase_     )





import os

import pytest
import yaml

from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict






@pytest.mark.parametrize(
    '''files'''		,		[
        ['''full:README.md''', '''dataset_infos.json'''],
        ['''empty:README.md''', '''dataset_infos.json'''],
        ['''dataset_infos.json'''],
        ['''full:README.md'''],
    ]		,		)
def   lowerCamelCase__							(					a		,		a      )      ->   Any:
   _A:  Any					=       tmp_path_factory.mktemp('''dset_infos_dir'''      )
   if "full:README.md" in files:
      with open(dataset_infos_dir / '''README.md'''		,		'''w'''      ) as f:
         f.write('''---\ndataset_info:\n  dataset_size: 42\n---'''      )
   if "empty:README.md" in files:
      with open(dataset_infos_dir / '''README.md'''		,		'''w'''      ) as f:
         f.write(''''''      )
    # we want to support dataset_infos.json for backward compatibility
   if "dataset_infos.json" in files:
      with open(dataset_infos_dir / '''dataset_infos.json'''		,		'''w'''      ) as f:
         f.write('''{"default": {"dataset_size": 42}}'''      )
   _A:  Optional[int]					=       DatasetInfosDict.from_directory(a      )
   assert dataset_infos
   assert dataset_infos["default"].dataset_size == 42






@pytest.mark.parametrize(
    '''dataset_info'''		,		[
        DatasetInfo(),
        DatasetInfo(
            description='''foo'''		,		features=Features({'''a''': Value('''int32'''      )}      )		,		builder_name='''builder'''		,		config_name='''config'''		,		version='''1.0.0'''		,		splits=[{'''name''': '''train'''}]		,		download_size=42		,		),
    ]		,		)
def   lowerCamelCase__							(					a		,		a      )      ->   Any:
   _A:  int					=       str(a      )
   dataset_info.write_to_directory(a      )
   _A:  str					=       DatasetInfo.from_directory(a      )
   assert dataset_info == reloaded
   assert os.path.exists(os.path.join(a		,		'''dataset_info.json'''      )      )






def   lowerCamelCase__							(					)      ->   Any:
   _A:  int					=       DatasetInfo(
       description='''foo'''		,		citation='''bar'''		,		homepage='''https://foo.bar'''		,		license='''CC0'''		,		features=Features({'''a''': Value('''int32'''      )}      )		,		post_processed={}		,		supervised_keys=()		,		task_templates=[]		,		builder_name='''builder'''		,		config_name='''config'''		,		version='''1.0.0'''		,		splits=[{'''name''': '''train''', '''num_examples''': 42}]		,		download_checksums={}		,		download_size=13_37		,		post_processing_size=4_42		,		dataset_size=12_34		,		size_in_bytes=13_37 + 4_42 + 12_34		,		)
   _A:  Optional[Any]					=       dataset_info._to_yaml_dict()
   assert sorted(a      ) == sorted(DatasetInfo._INCLUDED_INFO_IN_YAML      )
   for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
      assert key in dataset_info_yaml_dict
      assert isinstance(dataset_info_yaml_dict[key]		,		(list, dict, int, str)      )
   _A:  str					=       yaml.safe_dump(a      )
   _A:  Optional[int]					=       yaml.safe_load(a      )
   assert dataset_info_yaml_dict == reloaded






def   lowerCamelCase__							(					)      ->   int:
   _A:  Union[str, Any]					=       DatasetInfo()
   _A:  Union[str, Any]					=       dataset_info._to_yaml_dict()
   assert dataset_info_yaml_dict == {}






@pytest.mark.parametrize(
    '''dataset_infos_dict'''		,		[
        DatasetInfosDict(),
        DatasetInfosDict({'''default''': DatasetInfo()}      ),
        DatasetInfosDict({'''my_config_name''': DatasetInfo()}      ),
        DatasetInfosDict(
            {
                '''default''': DatasetInfo(
                    description='''foo'''		,		features=Features({'''a''': Value('''int32'''      )}      )		,		builder_name='''builder'''		,		config_name='''config'''		,		version='''1.0.0'''		,		splits=[{'''name''': '''train'''}]		,		download_size=42		,		)
            }      ),
        DatasetInfosDict(
            {
                '''v1''': DatasetInfo(dataset_size=42      ),
                '''v2''': DatasetInfo(dataset_size=13_37      ),
            }      ),
    ]		,		)
def   lowerCamelCase__							(					a		,		a      )      ->   Optional[int]:
   _A:  Optional[int]					=       str(a      )
   dataset_infos_dict.write_to_directory(a      )
   _A:  Union[str, Any]					=       DatasetInfosDict.from_directory(a      )

   # the config_name of the dataset_infos_dict take over the attribute
   for config_name, dataset_info in dataset_infos_dict.items():
      _A:  Optional[Any]					=       config_name
      # the yaml representation doesn't include fields like description or citation
      # so we just test that we can recover what we can from the yaml
      _A:  Any					=       DatasetInfo._from_yaml_dict(dataset_info._to_yaml_dict()      )
   assert dataset_infos_dict == reloaded

   if dataset_infos_dict:
      assert os.path.exists(os.path.join(a		,		'''README.md'''      )      )



