"""simple docstring"""







import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_deberta import DebertaTokenizer


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation


UpperCamelCase_    :    Dict											=						logging.get_logger(__name__)

UpperCamelCase_    :    str											=						{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCamelCase_    :    str											=						{
    """vocab_file""": {
        """microsoft/deberta-base""": """https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json""",
        """microsoft/deberta-large""": """https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json""",
        """microsoft/deberta-xlarge""": """https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json""",
        """microsoft/deberta-base-mnli""": """https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json""",
        """microsoft/deberta-large-mnli""": """https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json""",
        """microsoft/deberta-xlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """microsoft/deberta-base""": """https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt""",
        """microsoft/deberta-large""": """https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt""",
        """microsoft/deberta-xlarge""": """https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt""",
        """microsoft/deberta-base-mnli""": """https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt""",
        """microsoft/deberta-large-mnli""": """https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt""",
        """microsoft/deberta-xlarge-mnli""": (
            """https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt"""
        ),
    },
}

UpperCamelCase_    :    str											=						{
    """microsoft/deberta-base""": 512,
    """microsoft/deberta-large""": 512,
    """microsoft/deberta-xlarge""": 512,
    """microsoft/deberta-base-mnli""": 512,
    """microsoft/deberta-large-mnli""": 512,
    """microsoft/deberta-xlarge-mnli""": 512,
}

UpperCamelCase_    :    int											=						{
    """microsoft/deberta-base""": {"""do_lower_case""": False},
    """microsoft/deberta-large""": {"""do_lower_case""": False},
}


class      _lowercase						(				__lowerCamelCase					):
				lowerCamelCase__									=    VOCAB_FILES_NAMES
				lowerCamelCase__									=    PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase__									=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase__									=    ['input_ids', 'attention_mask', 'token_type_ids']
				lowerCamelCase__									=    DebertaTokenizer

				def __init__(       self    :      Union[str, Any]    ,      _lowercase    :      Dict=None    ,      _lowercase    :      Any=None    ,      _lowercase    :      List[str]=None    ,      _lowercase    :      Optional[int]="replace"    ,      _lowercase    :      Optional[int]="[CLS]"    ,      _lowercase    :      Dict="[SEP]"    ,      _lowercase    :      List[Any]="[SEP]"    ,      _lowercase    :      List[str]="[CLS]"    ,      _lowercase    :      Union[str, Any]="[UNK]"    ,      _lowercase    :      Dict="[PAD]"    ,      _lowercase    :      int="[MASK]"    ,      _lowercase    :      List[str]=False    ,      **_lowercase    :      Optional[int]    ,      ):


										'''simple docstring'''
										super().__init__(
										    _lowercase    ,      _lowercase    ,      tokenizer_file=_lowercase    ,      errors=_lowercase    ,      bos_token=_lowercase    ,      eos_token=_lowercase    ,      unk_token=_lowercase    ,      sep_token=_lowercase    ,      cls_token=_lowercase    ,      pad_token=_lowercase    ,      mask_token=_lowercase    ,      add_prefix_space=_lowercase    ,      **_lowercase    ,      )
										UpperCAmelCase__   		=						kwargs.pop("""add_bos_token"""    ,      _lowercase       )

										UpperCAmelCase__   		=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
										if pre_tok_state.get("""add_prefix_space"""    ,      _lowercase       ) != add_prefix_space:
																UpperCAmelCase__   		=						getattr(_lowercase    ,      pre_tok_state.pop("""type"""       )       )
																UpperCAmelCase__   		=						add_prefix_space
																UpperCAmelCase__   		=						pre_tok_class(**_lowercase       )

										UpperCAmelCase__   		=						add_prefix_space

				@property
				def     A	(       self    :      Optional[int]       ):


										'''simple docstring'''
										if self._mask_token is None:
																if self.verbose:
																						logger.error("""Using mask_token, but it is not set yet."""       )
																return None
										return str(self._mask_token       )

				@mask_token.setter
				def     A	(       self    :      Dict    ,      _lowercase    :      List[Any]       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						AddedToken(_lowercase    ,      lstrip=_lowercase    ,      rstrip=_lowercase       ) if isinstance(_lowercase    ,      _lowercase       ) else value
										UpperCAmelCase__   		=						value

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


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

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


										'''simple docstring'''
										UpperCAmelCase__   		=						[self.sep_token_id]
										UpperCAmelCase__   		=						[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     A	(       self    :      str    ,      *_lowercase    :      List[str]    ,      **_lowercase    :      int       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						kwargs.get("""is_split_into_words"""    ,      _lowercase       )
										assert self.add_prefix_space or not is_split_into_words, (
										    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
										    "to use it with pretokenized inputs."
										)

										return super()._batch_encode_plus(*_lowercase    ,      **_lowercase       )

				def     A	(       self    :      str    ,      *_lowercase    :      Union[str, Any]    ,      **_lowercase    :      List[Any]       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						kwargs.get("""is_split_into_words"""    ,      _lowercase       )

										assert self.add_prefix_space or not is_split_into_words, (
										    f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True '
										    "to use it with pretokenized inputs."
										)

										return super()._encode_plus(*_lowercase    ,      **_lowercase       )

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


										'''simple docstring'''
										UpperCAmelCase__   		=						self._tokenizer.model.save(_lowercase    ,      name=_lowercase       )
										return tuple(_lowercase       )

				def     A	(       self    :      str    ,      _lowercase    :      "Conversation"       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						[]
										for is_user, text in conversation.iter_texts():
																input_ids.extend(self.encode(_lowercase    ,      add_special_tokens=_lowercase       ) + [self.eos_token_id]       )

										if len(_lowercase       ) > self.model_max_length:
																UpperCAmelCase__   		=						input_ids[-self.model_max_length :]
										return input_ids


"""simple docstring"""







from __future__ import annotations


def 					a__ (						UpperCAmelCase__    :     int     )->		list[int]:
						assert (
						    isinstance(UpperCAmelCase__						,     UpperCAmelCase__     ) and mask > 0
						), f'mask needs to be positive integer, your input {mask}'
						UpperCAmelCase__   		=						[]
						UpperCAmelCase__   		=						mask

						while submask:
												all_submasks.append(UpperCAmelCase__     )
												UpperCAmelCase__   		=						(submask - 1) & mask

						return all_submasks


if __name__ == "__main__":
						import doctest

						doctest.testmod()

