

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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
					from transformers.pipelines.conversational import Conversation

SCREAMING_SNAKE_CASE__     :    Any      							=					logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__     :    int      							=					{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

SCREAMING_SNAKE_CASE__     :    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"
        ),
    },
}

SCREAMING_SNAKE_CASE__     :    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,
}

SCREAMING_SNAKE_CASE__     :    Optional[int]      							=					{
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}




def 				__magic_name__				(     )    ->     Optional[Any]:
				__lowerCamelCase					      =			(
				    list(range(ord('''!'''							)	,						ord('''~'''							) + 1							)							) + list(range(ord('''¡'''							)	,						ord('''¬'''							) + 1							)							) + list(range(ord('''®'''							)	,						ord('''ÿ'''							) + 1							)							)
				)
				__lowerCamelCase					      =			bs[:]
				__lowerCamelCase					      =			0
				for b in range(2**8							):
								if b not in bs:
												bs.append(UpperCamelCase__							)
												cs.append(2**8 + n							)
												n += 1
				__lowerCamelCase					      =			[chr(UpperCamelCase__							) for n in cs]
				return dict(zip(UpperCamelCase__	,						UpperCamelCase__							)							)




def 				__magic_name__				(     __lowerCAmelCase			:		List[Any]							)    ->     Optional[Any]:
				__lowerCamelCase					      =			set()
				__lowerCamelCase					      =			word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)							)
								__lowerCamelCase					      =			char
				return pairs







class      lowerCAmelCase__  (			__lowercase    ):
		a__ :		Optional[int]   						=	VOCAB_FILES_NAMES
		a__ :		int   						=	PRETRAINED_VOCAB_FILES_MAP
		a__ :		Optional[int]   						=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		a__ :		Any   						=	["""input_ids""", """attention_mask""", """token_type_ids"""]






		def __init__(	self	:							Optional[Any]							,    SCREAMING_SNAKE_CASE__	:							Dict							,    SCREAMING_SNAKE_CASE__	:							List[str]							,    SCREAMING_SNAKE_CASE__	:							Dict="replace"							,    SCREAMING_SNAKE_CASE__	:							Tuple="[CLS]"							,    SCREAMING_SNAKE_CASE__	:							Optional[Any]="[SEP]"							,    SCREAMING_SNAKE_CASE__	:							str="[SEP]"							,    SCREAMING_SNAKE_CASE__	:							str="[CLS]"							,    SCREAMING_SNAKE_CASE__	:							Optional[int]="[UNK]"							,    SCREAMING_SNAKE_CASE__	:							List[Any]="[PAD]"							,    SCREAMING_SNAKE_CASE__	:							Any="[MASK]"							,    SCREAMING_SNAKE_CASE__	:							Any=False							,    SCREAMING_SNAKE_CASE__	:							Optional[Any]=False							,    **SCREAMING_SNAKE_CASE__	:							List[Any]							,    )  ->							int:
						__lowerCamelCase					      =			AddedToken(__lowerCamelCase							,    lstrip=__lowerCamelCase							,    rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase							,    __lowerCamelCase						) else bos_token
						__lowerCamelCase					      =			AddedToken(__lowerCamelCase							,    lstrip=__lowerCamelCase							,    rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase							,    __lowerCamelCase						) else eos_token
						__lowerCamelCase					      =			AddedToken(__lowerCamelCase							,    lstrip=__lowerCamelCase							,    rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase							,    __lowerCamelCase						) else sep_token
						__lowerCamelCase					      =			AddedToken(__lowerCamelCase							,    lstrip=__lowerCamelCase							,    rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase							,    __lowerCamelCase						) else cls_token
						__lowerCamelCase					      =			AddedToken(__lowerCamelCase							,    lstrip=__lowerCamelCase							,    rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase							,    __lowerCamelCase						) else unk_token
						__lowerCamelCase					      =			AddedToken(__lowerCamelCase							,    lstrip=__lowerCamelCase							,    rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase							,    __lowerCamelCase						) else pad_token

						# Mask token behave like a normal word, i.e. include the space before it
						__lowerCamelCase					      =			AddedToken(__lowerCamelCase							,    lstrip=__lowerCamelCase							,    rstrip=__lowerCamelCase						) if isinstance(__lowerCamelCase							,    __lowerCamelCase						) else mask_token

						super().__init__(
						    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							,    add_bos_token=__lowerCamelCase							,    **__lowerCamelCase							,    )
						__lowerCamelCase					      =			add_bos_token

						with open(__lowerCamelCase							,    encoding='''utf-8'''						) as vocab_handle:
										__lowerCamelCase					      =			json.load(__lowerCamelCase						)
						__lowerCamelCase					      =			{v: k for k, v in self.encoder.items()}
						__lowerCamelCase					      =			errors  # how to handle errors in decoding
						__lowerCamelCase					      =			bytes_to_unicode()
						__lowerCamelCase					      =			{v: k for k, v in self.byte_encoder.items()}
						with open(__lowerCamelCase							,    encoding='''utf-8'''						) as merges_handle:
										__lowerCamelCase					      =			merges_handle.read().split('''\n'''						)[1:-1]
						__lowerCamelCase					      =			[tuple(merge.split()						) for merge in bpe_merges]
						__lowerCamelCase					      =			dict(zip(__lowerCamelCase							,    range(len(__lowerCamelCase						)						)						)						)
						__lowerCamelCase					      =			{}
						__lowerCamelCase					      =			add_prefix_space

						# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
						__lowerCamelCase					      =			re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''						)






		@property
		# Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
		def 				__A (	self	:							List[Any]						)  ->							Union[str, Any]:
						return len(self.encoder						)






		def 				__A (	self	:							List[Any]						)  ->							int:
						return dict(self.encoder							,    **self.added_tokens_encoder						)






		def 				__A (	self	:							List[Any]							,    SCREAMING_SNAKE_CASE__	:							str						)  ->							Tuple:
						if token in self.cache:
										return self.cache[token]
						__lowerCamelCase					      =			tuple(__lowerCamelCase						)
						__lowerCamelCase					      =			get_pairs(__lowerCamelCase						)

						if not pairs:
										return token

						while True:
										__lowerCamelCase					      =			min(__lowerCamelCase							,    key=lambda SCREAMING_SNAKE_CASE__						: self.bpe_ranks.get(__lowerCamelCase							,    float('''inf'''						)						)						)
										if bigram not in self.bpe_ranks:
														break
										__lowerCamelCase					      =			bigram
										__lowerCamelCase					      =			[]
										__lowerCamelCase					      =			0
										while i < len(__lowerCamelCase						):
														try:
																		__lowerCamelCase					      =			word.index(__lowerCamelCase							,    __lowerCamelCase						)
														except ValueError:
																		new_word.extend(word[i:]						)
																		break
														else:
																		new_word.extend(word[i:j]						)
																		__lowerCamelCase					      =			j

														if word[i] == first and i < len(__lowerCamelCase						) - 1 and word[i + 1] == second:
																		new_word.append(first + second						)
																		i += 2
														else:
																		new_word.append(word[i]						)
																		i += 1
										__lowerCamelCase					      =			tuple(__lowerCamelCase						)
										__lowerCamelCase					      =			new_word
										if len(__lowerCamelCase						) == 1:
														break
										else:
														__lowerCamelCase					      =			get_pairs(__lowerCamelCase						)
						__lowerCamelCase					      =			" ".join(__lowerCamelCase						)
						__lowerCamelCase					      =			word
						return word






		def 				__A (	self	:							str							,    SCREAMING_SNAKE_CASE__	:							Union[str, Any]							,    SCREAMING_SNAKE_CASE__	:							Union[str, Any] = None						)  ->							List[int]:
						if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						__lowerCamelCase					      =			[self.cls_token_id]
						__lowerCamelCase					      =			[self.sep_token_id]
						return cls + token_ids_a + sep + token_ids_a + sep






		def 				__A (	self	:							Tuple							,    SCREAMING_SNAKE_CASE__	:							Optional[int]							,    SCREAMING_SNAKE_CASE__	:							str = None							,    SCREAMING_SNAKE_CASE__	:							Optional[int] = False						)  ->							List[int]:
						if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=__lowerCamelCase							,    token_ids_a=__lowerCamelCase							,    already_has_special_tokens=__lowerCamelCase						)

						if token_ids_a is None:
										return [1] + ([0] * len(__lowerCamelCase						)) + [1]
						return [1] + ([0] * len(__lowerCamelCase						)) + [1] + ([0] * len(__lowerCamelCase						)) + [1]






		def 				__A (	self	:							Any							,    SCREAMING_SNAKE_CASE__	:							Tuple							,    SCREAMING_SNAKE_CASE__	:							Tuple = None						)  ->							List[int]:
						__lowerCamelCase					      =			[self.sep_token_id]
						__lowerCamelCase					      =			[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	:							Any							,    SCREAMING_SNAKE_CASE__	:							List[str]						)  ->							str:
						__lowerCamelCase					      =			[]
						for token in re.findall(self.pat							,    __lowerCamelCase						):
										__lowerCamelCase					      =			"".join(
										    self.byte_encoder[b] for b in token.encode('''utf-8'''						)						)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
										bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__lowerCamelCase						).split(''' '''						)						)
						return bpe_tokens






		def 				__A (	self	:							Tuple							,    SCREAMING_SNAKE_CASE__	:							Any						)  ->							List[str]:
						return self.encoder.get(__lowerCamelCase							,    self.encoder.get(self.unk_token						)						)






		def 				__A (	self	:							Tuple							,    SCREAMING_SNAKE_CASE__	:							Optional[Any]						)  ->							Optional[Any]:
						return self.decoder.get(__lowerCamelCase						)






		def 				__A (	self	:							str							,    SCREAMING_SNAKE_CASE__	:							List[Any]						)  ->							Tuple:
						__lowerCamelCase					      =			"".join(__lowerCamelCase						)
						__lowerCamelCase					      =			bytearray([self.byte_decoder[c] for c in text]						).decode('''utf-8'''							,    errors=self.errors						)
						return text






		def 				__A (	self	:							int							,    SCREAMING_SNAKE_CASE__	:							Any							,    SCREAMING_SNAKE_CASE__	:							List[Any] = None						)  ->							Tuple[str]:
						if not os.path.isdir(__lowerCamelCase						):
										logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''						)
										return
						__lowerCamelCase					      =			os.path.join(
						    __lowerCamelCase							,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']						)
						__lowerCamelCase					      =			os.path.join(
						    __lowerCamelCase							,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']						)

						with open(__lowerCamelCase							,    '''w'''							,    encoding='''utf-8'''						) as f:
										f.write(json.dumps(self.encoder							,    indent=2							,    sort_keys=__lowerCamelCase							,    ensure_ascii=__lowerCamelCase						) + '''\n'''						)

						__lowerCamelCase					      =			0
						with open(__lowerCamelCase							,    '''w'''							,    encoding='''utf-8'''						) as writer:
										writer.write('''#version: 0.2\n'''						)
										for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,    key=lambda SCREAMING_SNAKE_CASE__						: kv[1]						):
														if index != token_index:
																		logger.warning(
																		    f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																		    ''' Please check that the tokenizer is not corrupted!'''						)
																		__lowerCamelCase					      =			token_index
														writer.write(''' '''.join(__lowerCamelCase						) + '''\n'''						)
														index += 1

						return vocab_file, merge_file






		def 				__A (	self	:							List[str]							,    SCREAMING_SNAKE_CASE__	:							str							,    SCREAMING_SNAKE_CASE__	:							Tuple=False							,    **SCREAMING_SNAKE_CASE__	:							List[str]						)  ->							Dict:
						__lowerCamelCase					      =			kwargs.pop('''add_prefix_space'''							,    self.add_prefix_space						)
						if (is_split_into_words or add_prefix_space) and (len(__lowerCamelCase						) > 0 and not text[0].isspace()):
										__lowerCamelCase					      =			" " + text
						return (text, kwargs)







		def 				__A (	self	:							Optional[int]							,    SCREAMING_SNAKE_CASE__	:							str						)  ->							List[int]:
						__lowerCamelCase					      =			[]
						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:
										__lowerCamelCase					      =			input_ids[-self.model_max_length :]
						return input_ids





from ..utils import requires_backends


SCREAMING_SNAKE_CASE__     :    Union[str, Any]      							=					None

class      lowerCAmelCase__  :






		def __init__(	self	:							int							,    *SCREAMING_SNAKE_CASE__	:							Dict							,    **SCREAMING_SNAKE_CASE__	:							Tuple						)  ->							Optional[Any]:
						requires_backends(self							,    ['''detectron2''']						)







		@classmethod
		def 				__A (	cls	:							Dict							,    *SCREAMING_SNAKE_CASE__	:							Dict							,    **SCREAMING_SNAKE_CASE__	:							Tuple						)  ->							Tuple:
						requires_backends(cls							,    ['''detectron2''']						)



