
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			:       Optional[Any]      =						logging.get_logger(__name__)

_snake_case			:       List[str]      =						{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_snake_case			:       Optional[Any]      =						{
    "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			:       List[Any]      =						{
    "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			:       Tuple      =						{
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}





class      UpperCamelCase_			(			a__		):







						'''simple docstring'''



						UpperCamelCase			:     List[Any]							      =				VOCAB_FILES_NAMES
						UpperCamelCase			:     int							      =				PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase			:     Dict							      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase			:     List[Any]							      =				["input_ids", "attention_mask", "token_type_ids"]
						UpperCamelCase			:     int							      =				DebertaTokenizer





						def __init__( self       :Tuple		,						lowerCAmelCase__       :Optional[int]=None		,						lowerCAmelCase__       :List[Any]=None		,						lowerCAmelCase__       :Optional[int]=None		,						lowerCAmelCase__       :Optional[Any]="replace"		,						lowerCAmelCase__       :List[Any]="[CLS]"		,						lowerCAmelCase__       :Dict="[SEP]"		,						lowerCAmelCase__       :List[Any]="[SEP]"		,						lowerCAmelCase__       :Optional[Any]="[CLS]"		,						lowerCAmelCase__       :Union[str, Any]="[UNK]"		,						lowerCAmelCase__       :str="[PAD]"		,						lowerCAmelCase__       :Dict="[MASK]"		,						lowerCAmelCase__       :Any=False		,						**lowerCAmelCase__       :Optional[int]		,						)     ->Union[str, Any]:
										super().__init__(
										    SCREAMING_SNAKE_CASE_		,						SCREAMING_SNAKE_CASE_		,						tokenizer_file=SCREAMING_SNAKE_CASE_		,						errors=SCREAMING_SNAKE_CASE_		,						bos_token=SCREAMING_SNAKE_CASE_		,						eos_token=SCREAMING_SNAKE_CASE_		,						unk_token=SCREAMING_SNAKE_CASE_		,						sep_token=SCREAMING_SNAKE_CASE_		,						cls_token=SCREAMING_SNAKE_CASE_		,						pad_token=SCREAMING_SNAKE_CASE_		,						mask_token=SCREAMING_SNAKE_CASE_		,						add_prefix_space=SCREAMING_SNAKE_CASE_		,						**SCREAMING_SNAKE_CASE_		,						)
										lowercase						    =			kwargs.pop("add_bos_token"		,						SCREAMING_SNAKE_CASE_    )

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

										lowercase						    =			add_prefix_space





						@property
						def 					SCREAMING_SNAKE_CASE( self       :str    )     ->str:
										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 					SCREAMING_SNAKE_CASE( self       :Tuple		,						lowerCAmelCase__       :Optional[Any]    )     ->Optional[Any]:
										lowercase						    =			AddedToken(SCREAMING_SNAKE_CASE_		,						lstrip=SCREAMING_SNAKE_CASE_		,						rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_		,						SCREAMING_SNAKE_CASE_    ) else value
										lowercase						    =			value





						def 					SCREAMING_SNAKE_CASE( self       :Tuple		,						lowerCAmelCase__       :List[Any]		,						lowerCAmelCase__       :str = None    )     ->List[int]:
										if token_ids_a is None:
														return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
										lowercase						    =			[self.cls_token_id]
										lowercase						    =			[self.sep_token_id]
										return cls + token_ids_a + sep + token_ids_a + sep





						def 					SCREAMING_SNAKE_CASE( self       :List[str]		,						lowerCAmelCase__       :Dict		,						lowerCAmelCase__       :str = None    )     ->List[int]:
										lowercase						    =			[self.sep_token_id]
										lowercase						    =			[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 					SCREAMING_SNAKE_CASE( self       :Union[str, Any]		,						*lowerCAmelCase__       :Optional[int]		,						**lowerCAmelCase__       :Any    )     ->BatchEncoding:
										lowercase						    =			kwargs.get("is_split_into_words"		,						SCREAMING_SNAKE_CASE_    )
										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(*SCREAMING_SNAKE_CASE_		,						**SCREAMING_SNAKE_CASE_    )





						def 					SCREAMING_SNAKE_CASE( self       :Union[str, Any]		,						*lowerCAmelCase__       :str		,						**lowerCAmelCase__       :List[Any]    )     ->BatchEncoding:
										lowercase						    =			kwargs.get("is_split_into_words"		,						SCREAMING_SNAKE_CASE_    )

										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(*SCREAMING_SNAKE_CASE_		,						**SCREAMING_SNAKE_CASE_    )





						def 					SCREAMING_SNAKE_CASE( self       :Tuple		,						lowerCAmelCase__       :str		,						lowerCAmelCase__       :str = None    )     ->Tuple[str]:
										lowercase						    =			self._tokenizer.model.save(SCREAMING_SNAKE_CASE_		,						name=SCREAMING_SNAKE_CASE_    )
										return tuple(SCREAMING_SNAKE_CASE_    )





						def 					SCREAMING_SNAKE_CASE( self       :Dict		,						lowerCAmelCase__       :List[Any]    )     ->List[int]:
										lowercase						    =			[]
										for is_user, text in conversation.iter_texts():
														input_ids.extend(self.encode(SCREAMING_SNAKE_CASE_		,						add_special_tokens=SCREAMING_SNAKE_CASE_    ) + [self.eos_token_id]    )

										if len(SCREAMING_SNAKE_CASE_    ) > self.model_max_length:
														lowercase						    =			input_ids[-self.model_max_length :]
										return input_ids


from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case			:       List[Any]      =						logging.get_logger(__name__)

_snake_case			:       Dict      =						{
    "google/reformer-crime-and-punishment": (
        "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"
    ),
    "google/reformer-enwik8": "https://huggingface.co/google/reformer-enwik8/resolve/main/config.json",
}





class      UpperCamelCase_			(			__a		):







						'''simple docstring'''



						UpperCamelCase			:     Any							      =				'''reformer'''
						UpperCamelCase			:     List[str]							      =				['''past_buckets_states''']
						UpperCamelCase			:     Optional[int]							      =				{}





						def __init__( self       :Dict		,						lowerCAmelCase__       :Any=64		,						lowerCAmelCase__       :str=["local", "lsh", "local", "lsh", "local", "lsh"]		,						lowerCAmelCase__       :Optional[Any]=1.0		,						lowerCAmelCase__       :List[str]=True		,						lowerCAmelCase__       :Optional[Any]=[64, 64]		,						lowerCAmelCase__       :Tuple=[64, 192]		,						lowerCAmelCase__       :Union[str, Any]=0		,						lowerCAmelCase__       :Optional[Any]=2		,						lowerCAmelCase__       :List[str]=512		,						lowerCAmelCase__       :Any=None		,						lowerCAmelCase__       :int="relu"		,						lowerCAmelCase__       :Tuple=0.05		,						lowerCAmelCase__       :int=256		,						lowerCAmelCase__       :Optional[Any]=0.02		,						lowerCAmelCase__       :Optional[int]=False		,						lowerCAmelCase__       :Optional[Any]=1E-1_2		,						lowerCAmelCase__       :int=1		,						lowerCAmelCase__       :Optional[Any]=0		,						lowerCAmelCase__       :Any=0.05		,						lowerCAmelCase__       :Optional[int]=64		,						lowerCAmelCase__       :List[Any]=64		,						lowerCAmelCase__       :Tuple=0.0		,						lowerCAmelCase__       :Tuple=1		,						lowerCAmelCase__       :List[str]=0		,						lowerCAmelCase__       :Dict=4096		,						lowerCAmelCase__       :Tuple=12		,						lowerCAmelCase__       :Tuple=None		,						lowerCAmelCase__       :Union[str, Any]=1		,						lowerCAmelCase__       :int=0		,						lowerCAmelCase__       :Optional[Any]=320		,						lowerCAmelCase__       :Optional[Any]=False		,						lowerCAmelCase__       :Optional[int]=True		,						lowerCAmelCase__       :str=None		,						**lowerCAmelCase__       :Any		,						)     ->Any:
										lowercase						    =			hash_seed
										lowercase						    =			vocab_size
										lowercase						    =			attention_head_size
										lowercase						    =			hidden_size
										lowercase						    =			num_attention_heads
										lowercase						    =			num_hashes
										lowercase						    =			len(lowerCAmelCase__    )
										lowercase						    =			tuple(lowerCAmelCase__    ) if isinstance(lowerCAmelCase__		,						lowerCAmelCase__    ) else num_buckets
										lowercase						    =			lsh_attn_chunk_length
										lowercase						    =			local_attn_chunk_length
										lowercase						    =			lsh_num_chunks_after
										lowercase						    =			lsh_num_chunks_before
										lowercase						    =			local_num_chunks_after
										lowercase						    =			local_num_chunks_before
										lowercase						    =			hidden_act
										lowercase						    =			feed_forward_size
										lowercase						    =			hidden_dropout_prob
										lowercase						    =			lsh_attention_probs_dropout_prob
										lowercase						    =			local_attention_probs_dropout_prob
										lowercase						    =			max_position_embeddings
										lowercase						    =			initializer_range
										lowercase						    =			layer_norm_eps
										lowercase						    =			axial_pos_embds
										lowercase						    =			tuple(lowerCAmelCase__    )
										lowercase						    =			tuple(lowerCAmelCase__    )
										lowercase						    =			axial_norm_std
										lowercase						    =			chunk_size_lm_head
										lowercase						    =			attn_layers
										lowercase						    =			use_cache
										lowercase						    =			classifier_dropout
										super().__init__(
										    pad_token_id=lowerCAmelCase__		,						eos_token_id=lowerCAmelCase__		,						is_decoder=lowerCAmelCase__		,						tie_word_embeddings=lowerCAmelCase__		,						**lowerCAmelCase__		,						)
