
'''simple docstring'''



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 :    Any       =      logging.get_logger(__name__)

__A :    Dict       =      {
    '''src_vocab_file''': '''vocab-src.json''',
    '''tgt_vocab_file''': '''vocab-tgt.json''',
    '''merges_file''': '''merges.txt''',
}

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





def 	_A						(							lowercase__		):
						lowercase__								=    set()
						lowercase__								=    word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)		)
												lowercase__								=    char
						return pairs





def 	_A						(							lowercase__		):
						lowercase__								=    text.replace("""，"""						,						""","""		)
						lowercase__								=    re.sub(r"""。\s*"""						,						""". """						,						lowercase__		)
						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*"""						,						""". """						,						lowercase__		)
						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 	_A						(							lowercase__		):
						lowercase__								=    []
						for char in text:
												lowercase__								=    unicodedata.category(lowercase__		)
												if cat.startswith("""C"""		):
																		continue
												output.append(lowercase__		)
						return "".join(lowercase__		)







class      A							(    A__			):
			lowerCamelCase							:							Dict    						=					VOCAB_FILES_NAMES
			lowerCamelCase							:							Dict    						=					PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase							:							int    						=					PRETRAINED_INIT_CONFIGURATION
			lowerCamelCase							:							Optional[Any]    						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase							:							Any    						=					["""input_ids""", """attention_mask"""]



			def __init__(   self    ,       lowerCamelCase__=None    ,       lowerCamelCase__=None    ,       lowerCamelCase__=None    ,       lowerCamelCase__=None    ,       lowerCamelCase__=False    ,       lowerCamelCase__="<unk>"    ,       lowerCamelCase__="<s>"    ,       lowerCamelCase__="</s>"    ,       lowerCamelCase__="<pad>"    ,       **lowerCamelCase__    ,       )     ->						Optional[Any]:




									'''simple docstring'''



									super().__init__(
									    langs=_A    ,       src_vocab_file=_A    ,       tgt_vocab_file=_A    ,       merges_file=_A    ,       do_lower_case=_A    ,       unk_token=_A    ,       bos_token=_A    ,       sep_token=_A    ,       pad_token=_A    ,       **_A    ,       )

									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(_A    ) == 2:
															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(_A    ,       encoding="""utf-8"""    ) as src_vocab_handle:
															lowercase__								=    json.load(_A    )
									with open(_A    ,       encoding="""utf-8"""    ) as tgt_vocab_handle:
															lowercase__								=    json.load(_A    )
															lowercase__								=    {v: k for k, v in tgt_vocab.items()}
									with open(_A    ,       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(_A    ,       range(len(_A    )    )    )    )
									lowercase__								=    {}



			def A__	(   self    )     ->						Optional[int]:




									'''simple docstring'''



									return self.get_src_vocab()



			@property
			def A__	(   self    )     ->						Union[str, Any]:




									'''simple docstring'''



									return self.src_vocab_size



			def A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__    )     ->						Union[str, Any]:




									'''simple docstring'''



									if lang not in self.cache_moses_punct_normalizer:
															lowercase__								=    self.sm.MosesPunctNormalizer(lang=_A    )
															lowercase__								=    punct_normalizer
									return self.cache_moses_punct_normalizer[lang].normalize(_A    )



			def A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__    )     ->						str:




									'''simple docstring'''



									if lang not in self.cache_moses_tokenizer:
															lowercase__								=    self.sm.MosesTokenizer(lang=_A    )
															lowercase__								=    moses_tokenizer
									return self.cache_moses_tokenizer[lang].tokenize(
									    _A    ,       aggressive_dash_splits=_A    ,       return_str=_A    ,       escape=_A    )



			def A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__    )     ->						Union[str, Any]:




									'''simple docstring'''



									if lang not in self.cache_moses_detokenizer:
															lowercase__								=    self.sm.MosesDetokenizer(lang=_A    )
															lowercase__								=    moses_detokenizer
									return self.cache_moses_detokenizer[lang].detokenize(_A    )



			def A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__    )     ->						Dict:




									'''simple docstring'''



									lowercase__								=    replace_unicode_punct(_A    )
									lowercase__								=    self.moses_punct_norm(_A    ,       _A    )
									lowercase__								=    remove_non_printing_char(_A    )
									return text



			@property
			def A__	(   self    )     ->						int:




									'''simple docstring'''



									return len(self.encoder    )



			@property
			def A__	(   self    )     ->						Tuple:




									'''simple docstring'''



									return len(self.decoder    )



			def A__	(   self    )     ->						List[str]:




									'''simple docstring'''



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



			def A__	(   self    )     ->						Dict:




									'''simple docstring'''



									return dict(self.decoder    ,       **self.added_tokens_decoder    )



			def A__	(   self    ,       lowerCamelCase__    )     ->						Dict:




									'''simple docstring'''



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

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

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

																					if word[i] == first and i < len(_A    ) - 1 and word[i + 1] == second:
																											new_word.append(first + second    )
																											i += 2
																					else:
																											new_word.append(word[i]    )
																											i += 1
															lowercase__								=    tuple(_A    )
															lowercase__								=    new_word
															if len(_A    ) == 1:
																					break
															else:
																					lowercase__								=    get_pairs(_A    )
									lowercase__								=    " ".join(_A    )
									if word == "\n  </w>":
															lowercase__								=    "\n</w>"
									lowercase__								=    word
									return word



			def A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__="en"    ,       lowerCamelCase__=False    )     ->						Optional[Any]:




									'''simple docstring'''



									lowercase__								=    self.src_lang

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

									if bypass_tokenizer:
															lowercase__								=    text.split()
									else:
															lowercase__								=    self.moses_pipeline(_A    ,       lang=_A    )
															lowercase__								=    self.moses_tokenize(_A    ,       lang=_A    )

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

									return split_tokens



			def A__	(   self    ,       lowerCamelCase__    )     ->						str:




									'''simple docstring'''



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



			def A__	(   self    ,       lowerCamelCase__    )     ->						Any:




									'''simple docstring'''



									return self.decoder.get(_A    ,       self.unk_token    )



			def A__	(   self    ,       lowerCamelCase__    )     ->						List[str]:




									'''simple docstring'''



									lowercase__								=    [t.replace(""" """    ,       """"""    ).replace("""</w>"""    ,       """ """    ) for t in tokens]
									lowercase__								=    "".join(_A    ).split()
									# detokenize
									lowercase__								=    self.moses_detokenize(_A    ,       self.tgt_lang    )
									return text



			def A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__ = None    )     ->						str:




									'''simple docstring'''



									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 A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__ = None    ,       lowerCamelCase__ = False    )     ->						Union[str, Any]:




									'''simple docstring'''



									if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=_A    ,       token_ids_a=_A    ,       already_has_special_tokens=_A    )
									# no bos used in fairseq
									if token_ids_a is not None:
															return ([0] * len(_A    )) + [1] + ([0] * len(_A    )) + [1]
									return ([0] * len(_A    )) + [1]



			def A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__ = None    )     ->						Dict:




									'''simple docstring'''



									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 A__	(   self    ,       lowerCamelCase__    ,       lowerCamelCase__ = None    )     ->						List[str]:




									'''simple docstring'''



									if not os.path.isdir(_A    ):
															logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''    )
															return

									lowercase__								=    os.path.join(
									    _A    ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""src_vocab_file"""]    )
									lowercase__								=    os.path.join(
									    _A    ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""tgt_vocab_file"""]    )
									lowercase__								=    os.path.join(
									    _A    ,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]    )

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

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

									lowercase__								=    0
									with open(_A    ,       """w"""    ,       encoding="""utf-8"""    ) as writer:
															for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,       key=lambda lowerCamelCase__    : 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(_A    ) + """\n"""    )
																					index += 1

									return src_vocab_file, tgt_vocab_file, merges_file



			def __getstate__(   self    )     ->						int:




									'''simple docstring'''



									lowercase__								=    self.__dict__.copy()
									lowercase__								=    None
									return state



			def __setstate__(   self    ,       lowerCamelCase__    )     ->						Any:




									'''simple docstring'''



									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








'''simple docstring'''



import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


__A       =      logging.get_logger(__name__)

__A       =      {
    "google/vit-hybrid-base-bit-384": "https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json",
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}





class      A							(    __UpperCAmelCase			):
			lowerCamelCase							:							List[str]    						=					"""vit-hybrid"""



			def __init__(   self    ,       lowerCamelCase__=None    ,       lowerCamelCase__=768    ,       lowerCamelCase__=12    ,       lowerCamelCase__=12    ,       lowerCamelCase__=3_072    ,       lowerCamelCase__="gelu"    ,       lowerCamelCase__=0.0    ,       lowerCamelCase__=0.0    ,       lowerCamelCase__=0.02    ,       lowerCamelCase__=1e-12    ,       lowerCamelCase__=224    ,       lowerCamelCase__=1    ,       lowerCamelCase__=3    ,       lowerCamelCase__=[1, 1_024, 24, 24]    ,       lowerCamelCase__=True    ,       **lowerCamelCase__    ,       )     ->						Optional[Any]:




									'''simple docstring'''



									super().__init__(**lowerCamelCase__    )

									if backbone_config is None:
															logger.info("""`backbone_config` is `None`. Initializing the config with a `BiT` backbone."""    )
															lowercase__								=    {
															    """global_padding""": """same""",
															    """layer_type""": """bottleneck""",
															    """depths""": [3, 4, 9],
															    """out_features""": ["""stage3"""],
															    """embedding_dynamic_padding""": True,
															}

									if isinstance(lowerCamelCase__    ,       lowerCamelCase__    ):
															if "model_type" in backbone_config:
																					lowercase__								=    CONFIG_MAPPING[backbone_config["""model_type"""]]
															else:
																					logger.info(
																					    """`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class."""    )
																					lowercase__								=    BitConfig
															lowercase__								=    backbone_config_class(**lowerCamelCase__    )

									lowercase__								=    backbone_featmap_shape
									lowercase__								=    backbone_config
									lowercase__								=    hidden_size
									lowercase__								=    num_hidden_layers
									lowercase__								=    num_attention_heads
									lowercase__								=    intermediate_size
									lowercase__								=    hidden_act
									lowercase__								=    hidden_dropout_prob
									lowercase__								=    attention_probs_dropout_prob
									lowercase__								=    initializer_range
									lowercase__								=    layer_norm_eps
									lowercase__								=    image_size
									lowercase__								=    patch_size
									lowercase__								=    num_channels
									lowercase__								=    qkv_bias



			def A__	(   self    )     ->						Dict[str, any]:




									'''simple docstring'''



									lowercase__								=    copy.deepcopy(self.__dict__    )
									lowercase__								=    self.backbone_config.to_dict()
									lowercase__								=    self.__class__.model_type
									return output






