

'''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_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 	lowerCAmelCase  (   A ):
       lowerCAmelCase_												=			VOCAB_FILES_NAMES
       lowerCAmelCase_												=			PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase_												=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase_												=			"left"
       lowerCAmelCase_												=			XLNetTokenizer







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







            """simple docstring"""







            __lowercase      		=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    ,   )

            __lowercase      		=3
            __lowercase      		=do_lower_case
            __lowercase      		=remove_space
            __lowercase      		=keep_accents
            __lowercase      		=vocab_file
            __lowercase      		=False if not self.vocab_file else True







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







            """simple docstring"""







            __lowercase      		=[self.sep_token_id]
            __lowercase      		=[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       snake_case (				self      :			Union[str, Any]    ,   __lowercase      :			List[int]    ,   __lowercase      :			Optional[List[int]] = None   ):







            """simple docstring"""







            __lowercase      		=[self.sep_token_id]
            __lowercase      		=[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       snake_case (				self      :			List[str]    ,   __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
            __lowercase      		=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,)





'''simple docstring'''

from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate


@dataclass(frozen=A )
class 	lowerCAmelCase  (   A ):
       # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
       lowerCAmelCase_												=			field(default="summarization" ,      metadata={"include_in_asdict_even_if_is_default": True} )
       lowerCAmelCase_												=			Features({"text": Value("string" )} )
       lowerCAmelCase_												=			Features({"summary": Value("string" )} )
       lowerCAmelCase_												=			"text"
       lowerCAmelCase_												=			"summary"







       @property
       def       snake_case (				self      :			int   ):







            """simple docstring"""







            return {self.text_column: "text", self.summary_column: "summary"}


