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


lowerCamelCase__           =				logging.get_logger(__name__)

lowerCamelCase__           =				{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase__           =				{
    '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'
        ),
    },
}

lowerCamelCase__           =				{
    '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,
}

lowerCamelCase__           =				{
    'microsoft/deberta-base': {'do_lower_case': False},
    'microsoft/deberta-large': {'do_lower_case': False},
}




class 					UpperCamelCase	(     snake_case__      ):
					__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 :					List[Any]      ,_lowerCAmelCase :					Optional[int]=None      ,_lowerCAmelCase :					List[str]=None      ,_lowerCAmelCase :					Optional[Any]=None      ,_lowerCAmelCase :					Any="replace"      ,_lowerCAmelCase :					Optional[Any]="[CLS]"      ,_lowerCAmelCase :					List[str]="[SEP]"      ,_lowerCAmelCase :					Dict="[SEP]"      ,_lowerCAmelCase :					Dict="[CLS]"      ,_lowerCAmelCase :					int="[UNK]"      ,_lowerCAmelCase :					Tuple="[PAD]"      ,_lowerCAmelCase :					Optional[int]="[MASK]"      ,_lowerCAmelCase :					List[Any]=False      ,**_lowerCAmelCase :					Any      ,):


							"""simple docstring"""




							super().__init__(
							    _lowerCAmelCase      ,_lowerCAmelCase      ,tokenizer_file=_lowerCAmelCase      ,errors=_lowerCAmelCase      ,bos_token=_lowerCAmelCase      ,eos_token=_lowerCAmelCase      ,unk_token=_lowerCAmelCase      ,sep_token=_lowerCAmelCase      ,cls_token=_lowerCAmelCase      ,pad_token=_lowerCAmelCase      ,mask_token=_lowerCAmelCase      ,add_prefix_space=_lowerCAmelCase      ,**_lowerCAmelCase      ,)
							__snake_case		       =     kwargs.pop("add_bos_token"      ,_lowerCAmelCase						)

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

							__snake_case		       =     add_prefix_space




					@property
					def 							UpperCamelCase_						( self :					Dict						):


							"""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 							UpperCamelCase_						( self :					Optional[int]      ,_lowerCAmelCase :					int						):


							"""simple docstring"""




							__snake_case		       =     AddedToken(_lowerCAmelCase      ,lstrip=_lowerCAmelCase      ,rstrip=_lowerCAmelCase						) if isinstance(_lowerCAmelCase      ,_lowerCAmelCase						) else value
							__snake_case		       =     value




					def 							UpperCamelCase_						( self :					Any      ,_lowerCAmelCase :					List[int]      ,_lowerCAmelCase :					Optional[List[int]] = None						):


							"""simple docstring"""




							if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							__snake_case		       =     [self.cls_token_id]
							__snake_case		       =     [self.sep_token_id]
							return cls + token_ids_a + sep + token_ids_a + sep




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


							"""simple docstring"""




							__snake_case		       =     [self.sep_token_id]
							__snake_case		       =     [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 							UpperCamelCase_						( self :					List[Any]      ,*_lowerCAmelCase :					Optional[Any]      ,**_lowerCAmelCase :					Tuple						):


							"""simple docstring"""




							__snake_case		       =     kwargs.get("is_split_into_words"      ,_lowerCAmelCase						)
							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(*_lowerCAmelCase      ,**_lowerCAmelCase						)




					def 							UpperCamelCase_						( self :					str      ,*_lowerCAmelCase :					str      ,**_lowerCAmelCase :					Union[str, Any]						):


							"""simple docstring"""




							__snake_case		       =     kwargs.get("is_split_into_words"      ,_lowerCAmelCase						)

							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(*_lowerCAmelCase      ,**_lowerCAmelCase						)




					def 							UpperCamelCase_						( self :					str      ,_lowerCAmelCase :					str      ,_lowerCAmelCase :					Optional[str] = None						):


							"""simple docstring"""




							__snake_case		       =     self._tokenizer.model.save(_lowerCAmelCase      ,name=_lowerCAmelCase						)
							return tuple(_lowerCAmelCase						)







					def 							UpperCamelCase_						( self :					Union[str, Any]      ,_lowerCAmelCase :					"Conversation"						):


							"""simple docstring"""




							__snake_case		       =     []
							for is_user, text in conversation.iter_texts():
									input_ids.extend(self.encode(_lowerCAmelCase      ,add_special_tokens=_lowerCAmelCase						) + [self.eos_token_id]						)

							if len(_lowerCAmelCase						) > self.model_max_length:
									__snake_case		       =     input_ids[-self.model_max_length :]
							return input_ids






import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
		from .tokenization_reformer import ReformerTokenizer
else:
		lowerCamelCase__           =				None


lowerCamelCase__           =				logging.get_logger(__name__)


lowerCamelCase__           =				'▁'

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

lowerCamelCase__           =				{
    'vocab_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model'
        )
    },
    'tokenizer_file': {
        'google/reformer-crime-and-punishment': (
            'https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json'
        )
    },
}

lowerCamelCase__           =				{
    'google/reformer-crime-and-punishment': 52_42_88,
}




class 					UpperCamelCase	(     snake_case__      ):
					__UpperCamelCase						=   VOCAB_FILES_NAMES
					__UpperCamelCase						=   PRETRAINED_VOCAB_FILES_MAP
					__UpperCamelCase						=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__UpperCamelCase						=   ["""input_ids""", """attention_mask"""]
					__UpperCamelCase						=   ReformerTokenizer




					def __init__( self :					Tuple      ,_lowerCAmelCase :					Dict=None      ,_lowerCAmelCase :					Union[str, Any]=None      ,_lowerCAmelCase :					int="</s>"      ,_lowerCAmelCase :					Dict="<unk>"      ,_lowerCAmelCase :					Dict=[]      ,**_lowerCAmelCase :					Optional[Any]      ,):


							"""simple docstring"""




							super().__init__(
							    _lowerCAmelCase      ,tokenizer_file=_lowerCAmelCase      ,eos_token=_lowerCAmelCase      ,unk_token=_lowerCAmelCase      ,additional_special_tokens=_lowerCAmelCase      ,**_lowerCAmelCase      ,)

							__snake_case		       =     vocab_file
							__snake_case		       =     False if not self.vocab_file else True







					def 							UpperCamelCase_						( self :					Dict      ,_lowerCAmelCase :					str      ,_lowerCAmelCase :					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(_lowerCAmelCase						):
									logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""						)
									return
							__snake_case		       =     os.path.join(
							    _lowerCAmelCase      ,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

							if os.path.abspath(self.vocab_file						) != os.path.abspath(_lowerCAmelCase						):
									copyfile(self.vocab_file      ,_lowerCAmelCase						)

							return (out_vocab_file,)





