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:
    lowerCAmelCase__     						=			None


lowerCAmelCase__     						=			logging.get_logger(__name__)

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

lowerCAmelCase__     						=			{
    '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',
    },
}

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

lowerCAmelCase__     						=			'▁'

# Segments (not really needed)
lowerCAmelCase__     						=			0
lowerCAmelCase__     						=			1
lowerCAmelCase__     						=			2
lowerCAmelCase__     						=			3
lowerCAmelCase__     						=			4
class     a_			(						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_     			= VOCAB_FILES_NAMES
 UpperCAmelCase_     			= PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase_     			= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase_     			= 'left'
 UpperCAmelCase_     			= XLNetTokenizer




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







        '''simple docstring'''



        lowerCAmelCase__					     = 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__      ,   )

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




 def 		__snake_case						(      self :  Optional[Any]      ,   lowercase__ :  List[int]      ,   lowercase__ :  Optional[List[int]] = None):







        '''simple docstring'''



        lowerCAmelCase__					     = [self.sep_token_id]
        lowerCAmelCase__					     = [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 :  Dict      ,   lowercase__ :  List[int]      ,   lowercase__ :  Optional[List[int]] = None):







        '''simple docstring'''



        lowerCAmelCase__					     = [self.sep_token_id]
        lowerCAmelCase__					     = [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 :  Tuple      ,   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
        lowerCAmelCase__					     = 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,)


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__     						=			{
    'configuration_x_clip': [
        'XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XCLIPConfig',
        'XCLIPTextConfig',
        'XCLIPVisionConfig',
    ],
    'processing_x_clip': ['XCLIPProcessor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        'XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
        'XCLIPModel',
        'XCLIPPreTrainedModel',
        'XCLIPTextModel',
        'XCLIPVisionModel',
    ]

if TYPE_CHECKING:
    from .configuration_x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
    from .processing_x_clip import XCLIPProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )

else:
    import sys

    lowerCAmelCase__     						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
