
"""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:
    _a		       =							None


_a		       =							logging.get_logger(__name__)

_a		       =							{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_a		       =							{
    "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",
    },
}

_a		       =							{
    "xlnet-base-cased": None,
    "xlnet-large-cased": None,
}

_a		       =							"▁"

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


class A_	(_UpperCAmelCase      ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						List[str]       =		VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__			:						Optional[int]       =		PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__			:						Optional[int]       =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__			:						Any       =		"""left"""
  SCREAMING_SNAKE_CASE__			:						Any       =		XLNetTokenizer







  def __init__(		self				,   lowercase_=None				,   lowercase_=None				,   lowercase_=False				,   lowercase_=True				,   lowercase_=False				,   lowercase_="<s>"				,   lowercase_="</s>"				,   lowercase_="<unk>"				,   lowercase_="<sep>"				,   lowercase_="<pad>"				,   lowercase_="<cls>"				,   lowercase_="<mask>"				,   lowercase_=["<eop>", "<eod>"]				,   **lowercase_				,   ):

     """simple docstring"""
     # Mask token behave like a normal word, i.e. include the space before it
     UpperCAmelCase_					:					Union[str, Any]			     =    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_					:					str			     =    3
     UpperCAmelCase_					:					str			     =    do_lower_case
     UpperCAmelCase_					:					List[Any]			     =    remove_space
     UpperCAmelCase_					:					int			     =    keep_accents
     UpperCAmelCase_					:					str			     =    vocab_file
     UpperCAmelCase_					:					int			     =    False if not self.vocab_file else True







  def        UpperCamelCase__					(		self				,   lowercase_				,   lowercase_ = None  ):

     """simple docstring"""
     UpperCAmelCase_					:					int			     =    [self.sep_token_id]
     UpperCAmelCase_					:					List[str]			     =    [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        UpperCamelCase__					(		self				,   lowercase_				,   lowercase_ = None  ):

     """simple docstring"""
     UpperCAmelCase_					:					Tuple			     =    [self.sep_token_id]
     UpperCAmelCase_					:					List[Any]			     =    [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        UpperCamelCase__					(		self				,   lowercase_				,   lowercase_ = 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[Any]			     =    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 typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase						: Dict						=						{"configuration_mmbt": ["MMBTConfig"]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowercase						: Dict						=						["MMBTForClassification", "MMBTModel", "ModalEmbeddings"]


if TYPE_CHECKING:
						from .configuration_mmbt import MMBTConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
						import sys

						_lowercase						: Optional[int]						=						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





