
import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


A		:   Tuple         =    logging.get_logger(__name__)

A		:   Optional[Any]         =    {
    '''src_vocab_file''': '''vocab-src.json''',
    '''tgt_vocab_file''': '''vocab-tgt.json''',
    '''merges_file''': '''merges.txt''',
}

A		:   List[str]         =    {
    '''src_vocab_file''': {
        '''stas/tiny-wmt19-en-de''': '''https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json'''
    },
    '''tgt_vocab_file''': {
        '''stas/tiny-wmt19-en-de''': '''https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json'''
    },
    '''merges_file''': {'''stas/tiny-wmt19-en-de''': '''https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt'''},
}

A		:   Any         =    {'''stas/tiny-wmt19-en-de''': 1_024}
A		:   Optional[int]         =    {
    '''stas/tiny-wmt19-en-de''': {
        '''langs''': ['''en''', '''de'''],
        '''model_max_length''': 1_024,
        '''special_tokens_map_file''': None,
        '''full_tokenizer_file''': None,
    }
}




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




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  str					)     ->    Optional[Any]:
						_lowercase									=				text.replace("""，"""		,      ""","""					)
						_lowercase									=				re.sub(r"""。\s*"""		,      """. """		,      SCREAMING_SNAKE_CASE_					)
						_lowercase									=				text.replace("""、"""		,      ""","""					)
						_lowercase									=				text.replace("""”"""		,      """\""""					)
						_lowercase									=				text.replace("""“"""		,      """\""""					)
						_lowercase									=				text.replace("""∶"""		,      """:"""					)
						_lowercase									=				text.replace("""："""		,      """:"""					)
						_lowercase									=				text.replace("""？"""		,      """?"""					)
						_lowercase									=				text.replace("""《"""		,      """\""""					)
						_lowercase									=				text.replace("""》"""		,      """\""""					)
						_lowercase									=				text.replace("""）"""		,      """)"""					)
						_lowercase									=				text.replace("""！"""		,      """!"""					)
						_lowercase									=				text.replace("""（"""		,      """("""					)
						_lowercase									=				text.replace("""；"""		,      """;"""					)
						_lowercase									=				text.replace("""１"""		,      """1"""					)
						_lowercase									=				text.replace("""」"""		,      """\""""					)
						_lowercase									=				text.replace("""「"""		,      """\""""					)
						_lowercase									=				text.replace("""０"""		,      """0"""					)
						_lowercase									=				text.replace("""３"""		,      """3"""					)
						_lowercase									=				text.replace("""２"""		,      """2"""					)
						_lowercase									=				text.replace("""５"""		,      """5"""					)
						_lowercase									=				text.replace("""６"""		,      """6"""					)
						_lowercase									=				text.replace("""９"""		,      """9"""					)
						_lowercase									=				text.replace("""７"""		,      """7"""					)
						_lowercase									=				text.replace("""８"""		,      """8"""					)
						_lowercase									=				text.replace("""４"""		,      """4"""					)
						_lowercase									=				re.sub(r"""．\s*"""		,      """. """		,      SCREAMING_SNAKE_CASE_					)
						_lowercase									=				text.replace("""～"""		,      """~"""					)
						_lowercase									=				text.replace("""’"""		,      """'"""					)
						_lowercase									=				text.replace("""…"""		,      """..."""					)
						_lowercase									=				text.replace("""━"""		,      """-"""					)
						_lowercase									=				text.replace("""〈"""		,      """<"""					)
						_lowercase									=				text.replace("""〉"""		,      """>"""					)
						_lowercase									=				text.replace("""【"""		,      """["""					)
						_lowercase									=				text.replace("""】"""		,      """]"""					)
						_lowercase									=				text.replace("""％"""		,      """%"""					)
						return text




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  int					)     ->    Dict:
						_lowercase									=				[]
						for char in text:
												_lowercase									=				unicodedata.category(SCREAMING_SNAKE_CASE_					)
												if cat.startswith("""C"""					):
																		continue
												output.append(SCREAMING_SNAKE_CASE_					)
						return "".join(SCREAMING_SNAKE_CASE_					)



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






			def __init__(			self							, __UpperCamelCase=None							, __UpperCamelCase=None							, __UpperCamelCase=None							, __UpperCamelCase=None							, __UpperCamelCase=False							, __UpperCamelCase="<unk>"							, __UpperCamelCase="<s>"							, __UpperCamelCase="</s>"							, __UpperCamelCase="<pad>"							, **__UpperCamelCase							, ):
									super().__init__(
									    langs=__UpperCamelCase							, src_vocab_file=__UpperCamelCase							, tgt_vocab_file=__UpperCamelCase							, merges_file=__UpperCamelCase							, do_lower_case=__UpperCamelCase							, unk_token=__UpperCamelCase							, bos_token=__UpperCamelCase							, sep_token=__UpperCamelCase							, pad_token=__UpperCamelCase							, **__UpperCamelCase							, )

									try:
															import sacremoses
									except ImportError:
															raise ImportError(
															    """You need to install sacremoses to use XLMTokenizer. """
															    """See https://pypi.org/project/sacremoses/ for installation."""     )

									_lowercase									=				sacremoses

									_lowercase									=				src_vocab_file
									_lowercase									=				tgt_vocab_file
									_lowercase									=				merges_file
									_lowercase									=				do_lower_case

									# cache of sm.MosesPunctNormalizer instance
									_lowercase									=				{}
									# cache of sm.MosesTokenizer instance
									_lowercase									=				{}
									_lowercase									=				{}

									if langs and len(__UpperCamelCase     ) == 2:
															_lowercase					,	_lowercase									=				langs
									else:
															raise ValueError(
															    f"""arg `langs` needs to be a list of 2 langs, e.g. ['en', 'ru'], but got {langs}. """
															    """Usually that means that tokenizer can't find a mapping for the given model path """
															    """in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer."""     )

									with open(__UpperCamelCase							, encoding="""utf-8"""     ) as src_vocab_handle:
															_lowercase									=				json.load(__UpperCamelCase     )
									with open(__UpperCamelCase							, encoding="""utf-8"""     ) as tgt_vocab_handle:
															_lowercase									=				json.load(__UpperCamelCase     )
															_lowercase									=				{v: k for k, v in tgt_vocab.items()}
									with open(__UpperCamelCase							, encoding="""utf-8"""     ) as merges_handle:
															_lowercase									=				merges_handle.read().split("""\n"""     )[:-1]
									_lowercase									=				[tuple(merge.split()[:2]     ) for merge in merges]
									_lowercase									=				dict(zip(__UpperCamelCase							, range(len(__UpperCamelCase     )     )     )     )
									_lowercase									=				{}






			def       UpperCamelCase_							(			self     ):
									return self.get_src_vocab()






			@property
			def       UpperCamelCase_							(			self     ):
									return self.src_vocab_size






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase     ):
									if lang not in self.cache_moses_punct_normalizer:
															_lowercase									=				self.sm.MosesPunctNormalizer(lang=__UpperCamelCase     )
															_lowercase									=				punct_normalizer
									return self.cache_moses_punct_normalizer[lang].normalize(__UpperCamelCase     )






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase     ):
									if lang not in self.cache_moses_tokenizer:
															_lowercase									=				self.sm.MosesTokenizer(lang=__UpperCamelCase     )
															_lowercase									=				moses_tokenizer
									return self.cache_moses_tokenizer[lang].tokenize(
									    __UpperCamelCase							, aggressive_dash_splits=__UpperCamelCase							, return_str=__UpperCamelCase							, escape=__UpperCamelCase     )






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase     ):
									if lang not in self.cache_moses_detokenizer:
															_lowercase									=				self.sm.MosesDetokenizer(lang=__UpperCamelCase     )
															_lowercase									=				moses_detokenizer
									return self.cache_moses_detokenizer[lang].detokenize(__UpperCamelCase     )






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase     ):
									_lowercase									=				replace_unicode_punct(__UpperCamelCase     )
									_lowercase									=				self.moses_punct_norm(__UpperCamelCase							, __UpperCamelCase     )
									_lowercase									=				remove_non_printing_char(__UpperCamelCase     )
									return text






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






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






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






			def       UpperCamelCase_							(			self     ):
									return dict(self.decoder							, **self.added_tokens_decoder     )






			def       UpperCamelCase_							(			self							, __UpperCamelCase     ):
									_lowercase									=				tuple(token[:-1]     ) + (token[-1] + """</w>""",)
									if token in self.cache:
															return self.cache[token]
									_lowercase									=				get_pairs(__UpperCamelCase     )

									if not pairs:
															return token + "</w>"

									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     )
									if word == "\n  </w>":
															_lowercase									=				"""\n</w>"""
									_lowercase									=				word
									return word






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase="en"							, __UpperCamelCase=False     ):
									_lowercase									=				self.src_lang

									if self.do_lower_case:
															_lowercase									=				text.lower()

									if bypass_tokenizer:
															_lowercase									=				text.split()
									else:
															_lowercase									=				self.moses_pipeline(__UpperCamelCase							, lang=__UpperCamelCase     )
															_lowercase									=				self.moses_tokenize(__UpperCamelCase							, lang=__UpperCamelCase     )

									_lowercase									=				[]
									for token in text:
															if token:
																					split_tokens.extend(list(self.bpe(__UpperCamelCase     ).split(""" """     )     )     )

									return split_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							, self.unk_token     )






			def       UpperCamelCase_							(			self							, __UpperCamelCase     ):
									_lowercase									=				[t.replace(""" """							, """"""     ).replace("""</w>"""							, """ """     ) for t in tokens]
									_lowercase									=				"""""".join(__UpperCamelCase     ).split()
									# detokenize
									_lowercase									=				self.moses_detokenize(__UpperCamelCase							, self.tgt_lang     )
									return text






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase = None     ):
									_lowercase									=				[self.sep_token_id]

									# no bos used in fairseq
									if token_ids_a is None:
															return token_ids_a + sep
									return token_ids_a + 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     )
									# no bos used in fairseq
									if token_ids_a is not None:
															return ([0] * len(__UpperCamelCase     )) + [1] + ([0] * len(__UpperCamelCase     )) + [1]
									return ([0] * len(__UpperCamelCase     )) + [1]






			def       UpperCamelCase_							(			self							, __UpperCamelCase							, __UpperCamelCase = None     ):
									_lowercase									=				[self.sep_token_id]

									# no bos used in fairseq
									if token_ids_a is None:
															return len(token_ids_a + sep     ) * [0]
									return len(token_ids_a + sep     ) * [0] + len(token_ids_a + sep     ) * [1]






			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["""src_vocab_file"""]     )
									_lowercase									=				os.path.join(
									    __UpperCamelCase							, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""tgt_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"""     )

									with open(__UpperCamelCase							, """w"""							, encoding="""utf-8"""     ) as f:
															_lowercase									=				{v: k for k, v in self.decoder.items()}
															f.write(json.dumps(__UpperCamelCase							, indent=2							, sort_keys=__UpperCamelCase							, ensure_ascii=__UpperCamelCase     ) + """\n"""     )

									_lowercase									=				0
									with open(__UpperCamelCase							, """w"""							, encoding="""utf-8"""     ) as writer:
															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 {merges_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 src_vocab_file, tgt_vocab_file, merges_file






			def __getstate__(			self     ):
									_lowercase									=				self.__dict__.copy()
									_lowercase									=				None
									return state






			def __setstate__(			self							, __UpperCamelCase     ):
									_lowercase									=				d

									try:
															import sacremoses
									except ImportError:
															raise ImportError(
															    """You need to install sacremoses to use XLMTokenizer. """
															    """See https://pypi.org/project/sacremoses/ for installation."""     )

									_lowercase									=				sacremoses

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)