
import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

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


A		:   Dict         =    logging.get_logger(__name__)

A		:   List[str]         =    {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

A		:   int         =    {
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
}

A		:   List[str]         =    {
    '''roberta-base''': 512,
    '''roberta-large''': 512,
    '''roberta-large-mnli''': 512,
    '''distilroberta-base''': 512,
    '''roberta-base-openai-detector''': 512,
    '''roberta-large-openai-detector''': 512,
}




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




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  Any					)     ->    List[str]:
						_lowercase									=				set()
						_lowercase									=				word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)					)
												_lowercase									=				char
						return pairs



class       a_   ( A_						):
			a  : Optional[Any]				      =       VOCAB_FILES_NAMES
			a  : int				      =       PRETRAINED_VOCAB_FILES_MAP
			a  : str				      =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			a  : List[Any]				      =       ['''input_ids''', '''attention_mask''']






			def __init__(			self							, __UpperCamelCase							, __UpperCamelCase							, __UpperCamelCase="replace"							, __UpperCamelCase="<s>"							, __UpperCamelCase="</s>"							, __UpperCamelCase="</s>"							, __UpperCamelCase="<s>"							, __UpperCamelCase="<unk>"							, __UpperCamelCase="<pad>"							, __UpperCamelCase="<mask>"							, __UpperCamelCase=False							, **__UpperCamelCase							, ):
									_lowercase									=				AddedToken(__UpperCamelCase							, lstrip=__UpperCamelCase							, rstrip=__UpperCamelCase     ) if isinstance(__UpperCamelCase							, __UpperCamelCase     ) else bos_token
									_lowercase									=				AddedToken(__UpperCamelCase							, lstrip=__UpperCamelCase							, rstrip=__UpperCamelCase     ) if isinstance(__UpperCamelCase							, __UpperCamelCase     ) else eos_token
									_lowercase									=				AddedToken(__UpperCamelCase							, lstrip=__UpperCamelCase							, rstrip=__UpperCamelCase     ) if isinstance(__UpperCamelCase							, __UpperCamelCase     ) else sep_token
									_lowercase									=				AddedToken(__UpperCamelCase							, lstrip=__UpperCamelCase							, rstrip=__UpperCamelCase     ) if isinstance(__UpperCamelCase							, __UpperCamelCase     ) else cls_token
									_lowercase									=				AddedToken(__UpperCamelCase							, lstrip=__UpperCamelCase							, rstrip=__UpperCamelCase     ) if isinstance(__UpperCamelCase							, __UpperCamelCase     ) else unk_token
									_lowercase									=				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
									_lowercase									=				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							, **__UpperCamelCase							, )

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

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






			@property
			def       UpperCamelCase_							(			self     ):
									return len(self.encoder     )






			def       UpperCamelCase_							(			self     ):
									return dict(self.encoder							, **self.added_tokens_encoder     )






			def       UpperCamelCase_							(			self							, __UpperCamelCase     ):
									if token in self.cache:
															return self.cache[token]
									_lowercase									=				tuple(__UpperCamelCase     )
									_lowercase									=				get_pairs(__UpperCamelCase     )

									if not pairs:
															return token

									while True:
															_lowercase									=				min(__UpperCamelCase							, key=lambda __UpperCamelCase     : self.bpe_ranks.get(__UpperCamelCase							, float("""inf"""     )     )     )
															if bigram not in self.bpe_ranks:
																					break
															_lowercase					,	_lowercase									=				bigram
															_lowercase									=				[]
															_lowercase									=				0
															while i < len(__UpperCamelCase     ):
																					try:
																											_lowercase									=				word.index(__UpperCamelCase							, __UpperCamelCase     )
																					except ValueError:
																											new_word.extend(word[i:]     )
																											break
																					else:
																											new_word.extend(word[i:j]     )
																											_lowercase									=				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
															_lowercase									=				tuple(__UpperCamelCase     )
															_lowercase									=				new_word
															if len(__UpperCamelCase     ) == 1:
																					break
															else:
																					_lowercase									=				get_pairs(__UpperCamelCase     )
									_lowercase									=				""" """.join(__UpperCamelCase     )
									_lowercase									=				word
									return word






			def       UpperCamelCase_							(			self							, __UpperCamelCase     ):
									_lowercase									=				[]
									for token in re.findall(self.pat							, __UpperCamelCase     ):
															_lowercase									=				"""""".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       UpperCamelCase_							(			self							, __UpperCamelCase     ):
									return self.encoder.get(__UpperCamelCase							, self.encoder.get(self.unk_token     )     )






			def       UpperCamelCase_							(			self							, __UpperCamelCase     ):
									return self.decoder.get(__UpperCamelCase     )






			def       UpperCamelCase_							(			self							, __UpperCamelCase     ):
									_lowercase									=				"""""".join(__UpperCamelCase     )
									_lowercase									=				bytearray([self.byte_decoder[c] for c in text]     ).decode("""utf-8"""							, errors=self.errors     )
									return text






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase = None     ):
									if not os.path.isdir(__UpperCamelCase     ):
															logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
															return
									_lowercase									=				os.path.join(
									    __UpperCamelCase							, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )
									_lowercase									=				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"""     )

									_lowercase									=				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!"""     )
																											_lowercase									=				token_index
																					writer.write(""" """.join(__UpperCamelCase     ) + """\n"""     )
																					index += 1

									return vocab_file, merge_file






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase = None     ):
									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 + sep + token_ids_a + sep






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase = None							, __UpperCamelCase = False     ):
									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, 1] + ([0] * len(__UpperCamelCase     )) + [1]






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase = None     ):
									_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 + sep + token_ids_a + sep     ) * [0]






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase=False							, **__UpperCamelCase     ):
									_lowercase									=				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()):
															_lowercase									=				""" """ + text
									return (text, kwargs)

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A		:   Any         =    {'''configuration_bit''': ['''BIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BitConfig''', '''BitOnnxConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A		:   Any         =    [
		    '''BIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''BitForImageClassification''',
		    '''BitModel''',
		    '''BitPreTrainedModel''',
		    '''BitBackbone''',
		]


try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A		:   Tuple         =    ['''BitImageProcessor''']


if TYPE_CHECKING:
		from .configuration_bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig, BitOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_bit import (
				    BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BitBackbone,
				    BitForImageClassification,
				    BitModel,
				    BitPreTrainedModel,
				)

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_bit import BitImageProcessor

else:
		import sys

		A		:   int         =    _LazyModule(__name__, globals()['''__file__'''], _import_structure)