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_xlnet import XLNetTokenizer
else:
  UpperCAmelCase_			    =							None


UpperCAmelCase_			    =							logging.get_logger(__name__)

UpperCAmelCase_			    =							{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCAmelCase_			    =							{
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/tokenizer.json''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/tokenizer.json''',
    },
}

UpperCAmelCase_			    =							{
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

UpperCAmelCase_			    =							'''▁'''

# Segments (not really needed)
UpperCAmelCase_			    =							0
UpperCAmelCase_			    =							1
UpperCAmelCase_			    =							2
UpperCAmelCase_			    =							3
UpperCAmelCase_			    =							4




class  __magic_name__  (		__a    ):





   """simple docstring"""




   lowerCAmelCase      :    str  			=   VOCAB_FILES_NAMES
   lowerCAmelCase      :    Tuple  			=   PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase      :    List[Any]  			=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase      :    Tuple  			=   '''left'''
   lowerCAmelCase      :    List[Any]  			=   XLNetTokenizer



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



    """simple docstring"""



    _UpperCamelCase:     Optional[int]							= AddedToken(_lowercase		,  lstrip=_lowercase		,  rstrip=_lowercase							) if isinstance(_lowercase		,  _lowercase							) else mask_token

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

    _UpperCamelCase:     Optional[int]							= 3
    _UpperCamelCase:     List[str]							= do_lower_case
    _UpperCamelCase:     str							= remove_space
    _UpperCamelCase:     Optional[Any]							= keep_accents
    _UpperCamelCase:     Any							= vocab_file
    _UpperCamelCase:     Dict							= False if not self.vocab_file else True



   def   lowerCAmelCase						(	self					:  str		,  _lowercase					:  List[int]		,  _lowercase					:  Optional[List[int]] = None							):



    """simple docstring"""



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



   def   lowerCAmelCase						(	self					:  List[Any]		,  _lowercase					:  List[int]		,  _lowercase					:  Optional[List[int]] = None							):



    """simple docstring"""



    _UpperCamelCase:     int							= [self.sep_token_id]
    _UpperCamelCase:     int							= [2]

    if token_ids_a is None:
     return len(token_ids_a + sep							) * [0] + cls_segment_id
    return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1] + cls_segment_id



   def   lowerCAmelCase						(	self					:  Union[str, Any]		,  _lowercase					:  str		,  _lowercase					:  Optional[str] = None							):



    """simple docstring"""



    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(_lowercase							):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""							)
     return
    _UpperCamelCase:     Optional[int]							= os.path.join(
        _lowercase		,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

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

    return (out_vocab_file,)
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict




@pytest.mark.parametrize(
    '''split_dict'''  ,					[
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train'''  ,					num_bytes=1_337  ,					num_examples=42  ,					dataset_name='''my_dataset'''		)}		),
        SplitDict({'''train''': SplitInfo(name='''train'''  ,					num_bytes=1_337  ,					num_examples=42		)}		),
        SplitDict({'''train''': SplitInfo()}		),
    ]  ,					)
def       lowerCAmelCase_     (		lowercase:							SplitDict		)    ->				List[str]:







 '''simple docstring'''
 _UpperCamelCase:     List[str]							= split_dict._to_yaml_list()
 assert len(lowercase		) == len(lowercase		)
 _UpperCamelCase:     Tuple							= SplitDict._from_yaml_list(lowercase		)
 for split_name, split_info in split_dict.items():
  # dataset_name field is deprecated, and is therefore not part of the YAML dump
  _UpperCamelCase:     Optional[Any]							= None
  # the split name of split_dict takes over the name of the split info object
  _UpperCamelCase:     Any							= split_name
 assert split_dict == reloaded





@pytest.mark.parametrize(
    '''split_info'''  ,					[SplitInfo(), SplitInfo(dataset_name=lowercase		), SplitInfo(dataset_name='''my_dataset'''		)]		)
def       lowerCAmelCase_     (		lowercase:							str		)    ->				Tuple:







 '''simple docstring'''
 # For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
 # field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
 _UpperCamelCase:     Optional[Any]							= asdict(SplitDict({'''train''': split_info}		)		)
 assert "dataset_name" in split_dict_asdict["train"]
 assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name