

"""simple docstring"""




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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
      from .tokenization_rembert import RemBertTokenizer
else:
      __UpperCAmelCase			=					None

__UpperCAmelCase			=					logging.get_logger(__name__)
__UpperCAmelCase			=					{"vocab_file": "sentencepiece.model", "tokenizer_file": "tokenizer.json"}

__UpperCAmelCase			=					{
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
    "tokenizer_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/tokenizer.json",
    },
}

__UpperCAmelCase			=					{
    "google/rembert": 256,
}

__UpperCAmelCase			=					"▁"







class   __lowercase      (     _SCREAMING_SNAKE_CASE       ):
  snake_case_												=							VOCAB_FILES_NAMES
  snake_case_												=							PRETRAINED_VOCAB_FILES_MAP
  snake_case_												=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  snake_case_												=							RemBertTokenizer

  def __init__(	self		:      List[Any]       ,A		:      List[str]=None       ,A		:      Dict=None       ,A		:      List[str]=True       ,A		:      Optional[Any]=True       ,A		:      Optional[Any]=False       ,A		:      Optional[int]="[CLS]"       ,A		:      str="[SEP]"       ,A		:      Tuple="<unk>"       ,A		:      Any="[SEP]"       ,A		:      Tuple="<pad>"       ,A		:      Any="[CLS]"       ,A		:      List[Any]="[MASK]"       ,**A		:      str       ,):






   '''simple docstring'''
   # Mask token behave like a normal word, i.e. include the space before it
   UpperCAmelCase__       :	Tuple        =       AddedToken(A       ,lstrip=A       ,rstrip=A     ) if isinstance(A       ,A     ) else mask_token

   super().__init__(
       A       ,tokenizer_file=A       ,do_lower_case=A       ,remove_space=A       ,keep_accents=A       ,bos_token=A       ,eos_token=A       ,unk_token=A       ,sep_token=A       ,pad_token=A       ,cls_token=A       ,mask_token=A       ,**A       ,)

   UpperCAmelCase__       :	Any        =       do_lower_case
   UpperCAmelCase__       :	str        =       remove_space
   UpperCAmelCase__       :	Any        =       keep_accents
   UpperCAmelCase__       :	Union[str, Any]        =       vocab_file
   UpperCAmelCase__       :	Tuple        =       False if not self.vocab_file else True

  def  __lowercase							(	self		:      str       ,A		:      List[int]       ,A		:      Optional[List[int]] = None     ):






   '''simple docstring'''
   UpperCAmelCase__       :	Union[str, Any]        =       [self.sep_token_id]
   UpperCAmelCase__       :	str        =       [self.cls_token_id]
   if token_ids_a is None:
    return cls + token_ids_a + sep
   return cls + token_ids_a + sep + token_ids_a + sep

  def  __lowercase							(	self		:      int       ,A		:      List[int]       ,A		:      Optional[List[int]] = None       ,A		:      bool = False     ):






   '''simple docstring'''

   if already_has_special_tokens:
    if token_ids_a is not None:
     raise ValueError(
         """You should not supply a second sequence if the provided sequence of """
         """ids is already formatted with special tokens for the model."""     )
    return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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

  def  __lowercase							(	self		:      int       ,A		:      List[int]       ,A		:      Optional[List[int]] = None     ):






   '''simple docstring'''
   UpperCAmelCase__       :	List[Any]        =       [self.sep_token_id]
   UpperCAmelCase__       :	Union[str, 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     ) * [0] + len(token_ids_a + sep     ) * [1]




  def  __lowercase							(	self		:      Optional[int]       ,A		:      str       ,A		:      Optional[str] = None     ):






   '''simple docstring'''
   if not os.path.isdir(A     ):
    logger.error("""Vocabulary path ({}) should be a directory""".format(A     )     )
    return
   UpperCAmelCase__       :	int        =       os.path.join(
       A       ,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )

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

   return (out_vocab_file,)









'''simple docstring'''






import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


__A   :    int											= pytest.mark.integration







@pytest.mark.parametrize("""path"""				,       ["""paws""", """csv"""]   )
def 							UpperCamelCase_     (       A__   :  Union[str, Any]				,       A__   :  Tuple   ):
  '''simple docstring'''





  inspect_dataset(A__				,       A__   )
  lowerCAmelCase_     : Any     =  path + """.py"""
  assert script_name in os.listdir(A__   )
  assert "__pycache__" not in os.listdir(A__   )







@pytest.mark.filterwarnings("""ignore:inspect_metric is deprecated:FutureWarning"""   )
@pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning"""   )
@pytest.mark.parametrize("""path"""				,       ["""accuracy"""]   )
def 							UpperCamelCase_     (       A__   :  Tuple				,       A__   :  str   ):
  '''simple docstring'''





  inspect_metric(A__				,       A__   )
  lowerCAmelCase_     : Any     =  path + """.py"""
  assert script_name in os.listdir(A__   )
  assert "__pycache__" not in os.listdir(A__   )







@pytest.mark.parametrize(
    """path, config_name, expected_splits"""				,       [
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]				,       )
def 							UpperCamelCase_     (       A__   :  List[str]				,       A__   :  List[str]				,       A__   :  Optional[Any]   ):
  '''simple docstring'''





  lowerCAmelCase_     : List[Any]     =  get_dataset_config_info(A__				,       config_name=A__   )
  assert info.config_name == config_name
  assert list(info.splits.keys()   ) == expected_splits







@pytest.mark.parametrize(
    """path, config_name, expected_exception"""				,       [
        ("""paws""", None, ValueError),
    ]				,       )
def 							UpperCamelCase_     (       A__   :  List[str]				,       A__   :  List[str]				,       A__   :  int   ):
  '''simple docstring'''





  with pytest.raises(A__   ):
    get_dataset_config_info(A__				,       config_name=A__   )







@pytest.mark.parametrize(
    """path, expected"""				,       [
        ("""squad""", """plain_text"""),
        ("""acronym_identification""", """default"""),
        ("""lhoestq/squad""", """plain_text"""),
        ("""lhoestq/test""", """default"""),
        ("""lhoestq/demo1""", """lhoestq--demo1"""),
        ("""dalle-mini/wit""", """dalle-mini--wit"""),
    ]				,       )
def 							UpperCamelCase_     (       A__   :  str				,       A__   :  List[str]   ):
  '''simple docstring'''





  lowerCAmelCase_     : Dict     =  get_dataset_config_names(A__   )
  assert expected in config_names







@pytest.mark.parametrize(
    """path, expected_configs, expected_splits_in_first_config"""				,       [
        ("""squad""", ["""plain_text"""], ["""train""", """validation"""]),
        ("""dalle-mini/wit""", ["""dalle-mini--wit"""], ["""train"""]),
        ("""paws""", ["""labeled_final""", """labeled_swap""", """unlabeled_final"""], ["""train""", """test""", """validation"""]),
    ]				,       )
def 							UpperCamelCase_     (       A__   :  List[Any]				,       A__   :  Dict				,       A__   :  Optional[int]   ):
  '''simple docstring'''





  lowerCAmelCase_     : Tuple     =  get_dataset_infos(A__   )
  assert list(infos.keys()   ) == expected_configs
  lowerCAmelCase_     : Optional[int]     =  expected_configs[0]
  assert expected_config in infos
  lowerCAmelCase_     : int     =  infos[expected_config]
  assert info.config_name == expected_config
  assert list(info.splits.keys()   ) == expected_splits_in_first_config







@pytest.mark.parametrize(
    """path, expected_config, expected_splits"""				,       [
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]				,       )
def 							UpperCamelCase_     (       A__   :  List[str]				,       A__   :  Optional[Any]				,       A__   :  List[Any]   ):
  '''simple docstring'''





  lowerCAmelCase_     : Dict     =  get_dataset_infos(A__   )
  assert expected_config in infos
  lowerCAmelCase_     : List[Any]     =  infos[expected_config]
  assert info.config_name == expected_config
  assert list(info.splits.keys()   ) == expected_splits







@pytest.mark.parametrize(
    """path, config_name, expected_exception"""				,       [
        ("""paws""", None, ValueError),
    ]				,       )
def 							UpperCamelCase_     (       A__   :  List[str]				,       A__   :  Any				,       A__   :  Dict   ):
  '''simple docstring'''





  with pytest.raises(A__   ):
    get_dataset_split_names(A__				,       config_name=A__   )



