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

lowerCAmelCase__					:       Tuple		=       logging.get_logger(__name__)

lowerCAmelCase__					:       Dict		=       {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

lowerCAmelCase__					:       List[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'''
        ),
    },
}

lowerCAmelCase__					:       Union[str, 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,
}

lowerCAmelCase__					:       int		=       {
    '''microsoft/deberta-base''': {'''do_lower_case''': False},
    '''microsoft/deberta-large''': {'''do_lower_case''': False},
}
def 			UpperCamelCase__						(    )       -> List[Any]:
				snake_case__ :     Any 							=				(
				    list(range(ord('!'   )      ,			ord('~'   ) + 1   )   ) + list(range(ord('¡'   )      ,			ord('¬'   ) + 1   )   ) + list(range(ord('®'   )      ,			ord('ÿ'   ) + 1   )   )
				)
				snake_case__ :     Tuple 							=				bs[:]
				snake_case__ :     Dict 							=				0
				for b in range(2**8   ):
								if b not in bs:
												bs.append(A__   )
												cs.append(2**8 + n   )
												n += 1
				snake_case__ :     str 							=				[chr(A__   ) for n in cs]
				return dict(zip(A__      ,			A__   )   )
def 			UpperCamelCase__						(    A__   )       -> Union[str, Any]:
				snake_case__ :     str 							=				set()
				snake_case__ :     Union[str, Any] 							=				word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)   )
								snake_case__ :     List[str] 							=				char
				return pairs





class 			__snake_case  (      _lowerCamelCase     ):
					__lowerCamelCase	 =       VOCAB_FILES_NAMES
					__lowerCamelCase	 =       PRETRAINED_VOCAB_FILES_MAP
					__lowerCamelCase	 =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					__lowerCamelCase	 =       ["""input_ids""", """attention_mask""", """token_type_ids"""]




					def __init__(       self   ,	__UpperCamelCase   ,	__UpperCamelCase   ,	__UpperCamelCase="replace"   ,	__UpperCamelCase="[CLS]"   ,	__UpperCamelCase="[SEP]"   ,	__UpperCamelCase="[SEP]"   ,	__UpperCamelCase="[CLS]"   ,	__UpperCamelCase="[UNK]"   ,	__UpperCamelCase="[PAD]"   ,	__UpperCamelCase="[MASK]"   ,	__UpperCamelCase=False   ,	__UpperCamelCase=False   ,	**__UpperCamelCase   ,	)					->  List[Any]:



									'''simple docstring'''







									snake_case__ :     Optional[Any] 							=				AddedToken(__UpperCamelCase   ,	lstrip=__UpperCamelCase   ,	rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase   ,	__UpperCamelCase		) else bos_token
									snake_case__ :     Dict 							=				AddedToken(__UpperCamelCase   ,	lstrip=__UpperCamelCase   ,	rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase   ,	__UpperCamelCase		) else eos_token
									snake_case__ :     Optional[int] 							=				AddedToken(__UpperCamelCase   ,	lstrip=__UpperCamelCase   ,	rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase   ,	__UpperCamelCase		) else sep_token
									snake_case__ :     Any 							=				AddedToken(__UpperCamelCase   ,	lstrip=__UpperCamelCase   ,	rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase   ,	__UpperCamelCase		) else cls_token
									snake_case__ :     str 							=				AddedToken(__UpperCamelCase   ,	lstrip=__UpperCamelCase   ,	rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase   ,	__UpperCamelCase		) else unk_token
									snake_case__ :     Dict 							=				AddedToken(__UpperCamelCase   ,	lstrip=__UpperCamelCase   ,	rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase   ,	__UpperCamelCase		) else pad_token

									# Mask token behave like a normal word, i.e. include the space before it
									snake_case__ :     Optional[Any] 							=				AddedToken(__UpperCamelCase   ,	lstrip=__UpperCamelCase   ,	rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase   ,	__UpperCamelCase		) else mask_token

									super().__init__(
									    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   ,	add_bos_token=__UpperCamelCase   ,	**__UpperCamelCase   ,	)
									snake_case__ :     int 							=				add_bos_token

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

									# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
									snake_case__ :     List[str] 							=				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		)					->  str:



									'''simple docstring'''







									return len(self.encoder		)




					def       __a      (       self		)					->  str:



									'''simple docstring'''







									return dict(self.encoder   ,	**self.added_tokens_encoder		)




					def       __a      (       self   ,	__UpperCamelCase		)					->  List[str]:



									'''simple docstring'''







									if token in self.cache:
													return self.cache[token]
									snake_case__ :     Any 							=				tuple(__UpperCamelCase		)
									snake_case__ :     int 							=				get_pairs(__UpperCamelCase		)

									if not pairs:
													return token

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

																	if word[i] == first and i < len(__UpperCamelCase		) - 1 and word[i + 1] == second:
																					new_word.append(first + second		)
																					i += 2
																	else:
																					new_word.append(word[i]		)
																					i += 1
													snake_case__ :     Any 							=				tuple(__UpperCamelCase		)
													snake_case__ :     Any 							=				new_word
													if len(__UpperCamelCase		) == 1:
																	break
													else:
																	snake_case__ :     Tuple 							=				get_pairs(__UpperCamelCase		)
									snake_case__ :     Optional[Any] 							=				' '.join(__UpperCamelCase		)
									snake_case__ :     Tuple 							=				word
									return word




					def       __a      (       self   ,	__UpperCamelCase   ,	__UpperCamelCase = None		)					->  List[int]:



									'''simple docstring'''







									if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									snake_case__ :     Union[str, Any] 							=				[self.cls_token_id]
									snake_case__ :     int 							=				[self.sep_token_id]
									return cls + token_ids_a + sep + token_ids_a + sep




					def       __a      (       self   ,	__UpperCamelCase   ,	__UpperCamelCase = None   ,	__UpperCamelCase = False		)					->  List[int]:



									'''simple docstring'''







									if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=__UpperCamelCase   ,	token_ids_a=__UpperCamelCase   ,	already_has_special_tokens=__UpperCamelCase		)

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




					def       __a      (       self   ,	__UpperCamelCase   ,	__UpperCamelCase = None		)					->  List[int]:



									'''simple docstring'''







									snake_case__ :     List[str] 							=				[self.sep_token_id]
									snake_case__ :     Any 							=				[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   ,	__UpperCamelCase		)					->  str:



									'''simple docstring'''







									snake_case__ :     Dict 							=				[]
									for token in re.findall(self.pat   ,	__UpperCamelCase		):
													snake_case__ :     Dict 							=				''.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(__UpperCamelCase		).split(' '		)		)
									return bpe_tokens




					def       __a      (       self   ,	__UpperCamelCase		)					->  Any:



									'''simple docstring'''







									return self.encoder.get(__UpperCamelCase   ,	self.encoder.get(self.unk_token		)		)




					def       __a      (       self   ,	__UpperCamelCase		)					->  Any:



									'''simple docstring'''







									return self.decoder.get(__UpperCamelCase		)




					def       __a      (       self   ,	__UpperCamelCase		)					->  List[str]:



									'''simple docstring'''







									snake_case__ :     int 							=				''.join(__UpperCamelCase		)
									snake_case__ :     Optional[int] 							=				bytearray([self.byte_decoder[c] for c in text]		).decode('utf-8'   ,	errors=self.errors		)
									return text




					def       __a      (       self   ,	__UpperCamelCase   ,	__UpperCamelCase = None		)					->  Tuple[str]:



									'''simple docstring'''







									if not os.path.isdir(__UpperCamelCase		):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""		)
													return
									snake_case__ :     Optional[Any] 							=				os.path.join(
									    __UpperCamelCase   ,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']		)
									snake_case__ :     List[Any] 							=				os.path.join(
									    __UpperCamelCase   ,	(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']		)

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

									snake_case__ :     int 							=				0
									with open(__UpperCamelCase   ,	'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 __UpperCamelCase		: 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!'		)
																					snake_case__ :     Optional[Any] 							=				token_index
																	writer.write(' '.join(__UpperCamelCase		) + '\n'		)
																	index += 1

									return vocab_file, merge_file




					def       __a      (       self   ,	__UpperCamelCase   ,	__UpperCamelCase=False   ,	**__UpperCamelCase		)					->  int:



									'''simple docstring'''







									snake_case__ :     Dict 							=				kwargs.pop('add_prefix_space'   ,	self.add_prefix_space		)
									if (is_split_into_words or add_prefix_space) and (len(__UpperCamelCase		) > 0 and not text[0].isspace()):
													snake_case__ :     Optional[Any] 							=				' ' + text
									return (text, kwargs)




					def       __a      (       self   ,	__UpperCamelCase		)					->  List[int]:



									'''simple docstring'''







									snake_case__ :     Dict 							=				[]
									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:
													snake_case__ :     Tuple 							=				input_ids[-self.model_max_length :]
									return input_ids



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


lowerCAmelCase__					:       Optional[int]		=       {}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__					:       Tuple		=       ['''MBart50Tokenizer''']

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__					:       Tuple		=       ['''MBart50TokenizerFast''']


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa import MBartaaTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa_fast import MBartaaTokenizerFast

else:
				import sys

				lowerCAmelCase__					:       Optional[int]		=       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


