





'''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


snake_case_     			=						logging.get_logger(__name__)

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

snake_case_     			=						{
    """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"""
        ),
    },
}

snake_case_     			=						{
    """microsoft/deberta-base""": 5_12,
    """microsoft/deberta-large""": 5_12,
    """microsoft/deberta-xlarge""": 5_12,
    """microsoft/deberta-base-mnli""": 5_12,
    """microsoft/deberta-large-mnli""": 5_12,
    """microsoft/deberta-xlarge-mnli""": 5_12,
}

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


class 	_lowercase    (				a					):
   _UpperCamelCase									= VOCAB_FILES_NAMES
   _UpperCamelCase									= PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase									= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCamelCase									= ["""input_ids""", """attention_mask""", """token_type_ids"""]
   _UpperCamelCase									= DebertaTokenizer


   def __init__(			self     , _UpperCAmelCase=None     , _UpperCAmelCase=None     , _UpperCAmelCase=None     , _UpperCAmelCase="replace"     , _UpperCAmelCase="[CLS]"     , _UpperCAmelCase="[SEP]"     , _UpperCAmelCase="[SEP]"     , _UpperCAmelCase="[CLS]"     , _UpperCAmelCase="[UNK]"     , _UpperCAmelCase="[PAD]"     , _UpperCAmelCase="[MASK]"     , _UpperCAmelCase=False     , **_UpperCAmelCase     , ):
       super().__init__(
           _UpperCAmelCase     , _UpperCAmelCase     , tokenizer_file=_UpperCAmelCase     , errors=_UpperCAmelCase     , bos_token=_UpperCAmelCase     , eos_token=_UpperCAmelCase     , unk_token=_UpperCAmelCase     , sep_token=_UpperCAmelCase     , cls_token=_UpperCAmelCase     , pad_token=_UpperCAmelCase     , mask_token=_UpperCAmelCase     , add_prefix_space=_UpperCAmelCase     , **_UpperCAmelCase     , )
       A							:							Union[str, Any]				=    kwargs.pop('''add_bos_token'''     , _UpperCAmelCase       )

       A							:							Optional[Any]				=    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
       if pre_tok_state.get('''add_prefix_space'''     , _UpperCAmelCase       ) != add_prefix_space:
           A							:							Any				=    getattr(_UpperCAmelCase     , pre_tok_state.pop('''type'''       )       )
           A							:							str				=    add_prefix_space
           A							:							Dict				=    pre_tok_class(**_UpperCAmelCase       )

       A							:							Any				=    add_prefix_space


   @property
   def        snake_case					(			self       ):
       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        snake_case					(			self     , _UpperCAmelCase       ):
       A							:							Dict				=    AddedToken(_UpperCAmelCase     , lstrip=_UpperCAmelCase     , rstrip=_UpperCAmelCase       ) if isinstance(_UpperCAmelCase     , _UpperCAmelCase       ) else value
       A							:							Tuple				=    value


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None       ):
       if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       A							:							Any				=    [self.cls_token_id]
       A							:							Tuple				=    [self.sep_token_id]
       return cls + token_ids_a + sep + token_ids_a + sep


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None       ):
       A							:							List[str]				=    [self.sep_token_id]
       A							:							int				=    [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        snake_case					(			self     , *_UpperCAmelCase     , **_UpperCAmelCase       ):
       A							:							Tuple				=    kwargs.get('''is_split_into_words'''     , _UpperCAmelCase       )
       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(*_UpperCAmelCase     , **_UpperCAmelCase       )


   def        snake_case					(			self     , *_UpperCAmelCase     , **_UpperCAmelCase       ):
       A							:							Union[str, Any]				=    kwargs.get('''is_split_into_words'''     , _UpperCAmelCase       )

       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(*_UpperCAmelCase     , **_UpperCAmelCase       )


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None       ):
       A							:							List[str]				=    self._tokenizer.model.save(_UpperCAmelCase     , name=_UpperCAmelCase       )
       return tuple(_UpperCAmelCase       )


   def        snake_case					(			self     , _UpperCAmelCase       ):
       A							:							Optional[int]				=    []
       for is_user, text in conversation.iter_texts():
           input_ids.extend(self.encode(_UpperCAmelCase     , add_special_tokens=_UpperCAmelCase       ) + [self.eos_token_id]       )

       if len(_UpperCAmelCase       ) > self.model_max_length:
           A							:							Dict				=    input_ids[-self.model_max_length :]
       return input_ids







'''simple docstring'''






import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand
def 				_lowerCamelCase(	UpperCamelCase__     :			Any		)		->	List[str]:
    return EnvironmentCommand()





class 	_lowercase    (				a					):


   @staticmethod
   def        snake_case					(			_UpperCAmelCase       ):
       A							:							List[str]				=    parser.add_parser('''env'''     , help='''Print relevant system environment info.'''       )
       download_parser.set_defaults(func=_UpperCAmelCase       )


   def        snake_case					(			self       ):
       A							:							Optional[int]				=    {
           '''`datasets` version''': version,
           '''Platform''': platform.platform(),
           '''Python version''': platform.python_version(),
           '''Huggingface_hub version''': huggingface_hub.__version__,
           '''PyArrow version''': pyarrow.__version__,
           '''Pandas version''': pandas.__version__,
       }

       print('''\nCopy-and-paste the text below in your GitHub issue.\n'''       )
       print(self.format_dict(_UpperCAmelCase       )       )

       return info


   @staticmethod
   def        snake_case					(			_UpperCAmelCase       ):
       return "\n".join([f'''- {prop}: {val}''' for prop, val in d.items()]       ) + "\n"
