


"""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


__snake_case												=							logging.get_logger(__name__)

__snake_case												=							{
    "src_vocab_file": "vocab-src.json",
    "tgt_vocab_file": "vocab-tgt.json",
    "merges_file": "merges.txt",
}

__snake_case												=							{
    "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"},
}

__snake_case												=							{"stas/tiny-wmt19-en-de": 1024}
__snake_case												=							{
    "stas/tiny-wmt19-en-de": {
        "langs": ["en", "de"],
        "model_max_length": 1024,
        "special_tokens_map_file": None,
        "full_tokenizer_file": None,
    }
}
def    A_ ( _lowerCAmelCase  :       int							):






     """simple docstring"""

     _a     						=					set()
     _a     						=					word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)							)
          _a     						=					char
     return pairs
def    A_ ( _lowerCAmelCase  :       Optional[int]							):






     """simple docstring"""

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






     """simple docstring"""

     _a     						=					[]
     for char in text:
          _a     						=					unicodedata.category(_lowerCAmelCase							)
          if cat.startswith('''C'''							):
               continue
          output.append(_lowerCAmelCase							)
     return "".join(_lowerCAmelCase							)


class      __lowerCamelCase	(       _a					):

     '''simple docstring'''
     A_							:						Any     =		VOCAB_FILES_NAMES
     A_							:						List[str]     =		PRETRAINED_VOCAB_FILES_MAP
     A_							:						str     =		PRETRAINED_INIT_CONFIGURATION
     A_							:						Any     =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A_							:						Optional[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     ,					)							->				Dict:
          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.'''				)

          _a     						=					sacremoses

          _a     						=					src_vocab_file
          _a     						=					tgt_vocab_file
          _a     						=					merges_file
          _a     						=					do_lower_case

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

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


     def 				_UpperCAmelCase   (   self				)							->				Union[str, Any]:
          return self.get_src_vocab()


     @property
     def 				_UpperCAmelCase   (   self				)							->				Optional[int]:
          return self.src_vocab_size


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)							->				List[Any]:



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


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)							->				Optional[Any]:



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


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)							->				Union[str, Any]:



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


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase				)							->				Optional[int]:
          _a     						=					replace_unicode_punct(_UpperCAmelCase				)
          _a     						=					self.moses_punct_norm(_UpperCAmelCase     ,					_UpperCAmelCase				)
          _a     						=					remove_non_printing_char(_UpperCAmelCase				)
          return text


     @property
     def 				_UpperCAmelCase   (   self				)							->				Optional[int]:
          return len(self.encoder				)


     @property
     def 				_UpperCAmelCase   (   self				)							->				Tuple:
          return len(self.decoder				)


     def 				_UpperCAmelCase   (   self				)							->				List[str]:
          return dict(self.encoder     ,					**self.added_tokens_encoder				)


     def 				_UpperCAmelCase   (   self				)							->				List[Any]:
          return dict(self.decoder     ,					**self.added_tokens_decoder				)


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase				)							->				Union[str, Any]:
          _a     						=					tuple(token[:-1]				) + (token[-1] + '''</w>''',)
          if token in self.cache:
               return self.cache[token]
          _a     						=					get_pairs(_UpperCAmelCase				)

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

          while True:
               _a     						=					min(_UpperCAmelCase     ,					key=lambda __UpperCAmelCase				: self.bpe_ranks.get(_UpperCAmelCase     ,					float('''inf'''				)				)				)
               if bigram not in self.bpe_ranks:
                    break
               _a						,   _a     						=					bigram
               _a     						=					[]
               _a     						=					0
               while i < len(_UpperCAmelCase				):
                    try:
                         _a     						=					word.index(_UpperCAmelCase     ,					_UpperCAmelCase				)
                    except ValueError:
                         new_word.extend(word[i:]				)
                         break
                    else:
                         new_word.extend(word[i:j]				)
                         _a     						=					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
               _a     						=					tuple(_UpperCAmelCase				)
               _a     						=					new_word
               if len(_UpperCAmelCase				) == 1:
                    break
               else:
                    _a     						=					get_pairs(_UpperCAmelCase				)
          _a     						=					''' '''.join(_UpperCAmelCase				)
          if word == "\n  </w>":
               _a     						=					'''\n</w>'''
          _a     						=					word
          return word


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase="en"     ,					__UpperCAmelCase=False				)							->				Dict:
          _a     						=					self.src_lang

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

          if bypass_tokenizer:
               _a     						=					text.split()
          else:
               _a     						=					self.moses_pipeline(_UpperCAmelCase     ,					lang=_UpperCAmelCase				)
               _a     						=					self.moses_tokenize(_UpperCAmelCase     ,					lang=_UpperCAmelCase				)

          _a     						=					[]
          for token in text:
               if token:
                    split_tokens.extend(list(self.bpe(_UpperCAmelCase				).split(''' '''				)				)				)

          return split_tokens


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase				)							->				Any:
          return self.encoder.get(_UpperCAmelCase     ,					self.encoder.get(self.unk_token				)				)


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase				)							->				Optional[int]:
          return self.decoder.get(_UpperCAmelCase     ,					self.unk_token				)


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase				)							->				Tuple:
          _a     						=					[t.replace(''' '''     ,					''''''				).replace('''</w>'''     ,					''' '''				) for t in tokens]
          _a     						=					''''''.join(_UpperCAmelCase				).split()
          # detokenize
          _a     						=					self.moses_detokenize(_UpperCAmelCase     ,					self.tgt_lang				)
          return text


     def 				_UpperCAmelCase   (   self     ,					__UpperCAmelCase     ,					__UpperCAmelCase = None				)							->				Optional[int]:
          _a     						=					[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				)							->				Union[str, Any]:



          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				)							->				Optional[Any]:
          _a     						=					[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				)							->				Tuple:



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

          _a     						=					os.path.join(
              _UpperCAmelCase     ,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''src_vocab_file''']				)
          _a     						=					os.path.join(
              _UpperCAmelCase     ,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''tgt_vocab_file''']				)
          _a     						=					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:
               _a     						=					{v: k for k, v in self.decoder.items()}
               f.write(json.dumps(_UpperCAmelCase     ,					indent=2     ,					sort_keys=_UpperCAmelCase     ,					ensure_ascii=_UpperCAmelCase				) + '''\n'''				)

          _a     						=					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!'''				)
                         _a     						=					token_index
                    writer.write(''' '''.join(_UpperCAmelCase				) + '''\n'''				)
                    index += 1

          return src_vocab_file, tgt_vocab_file, merges_file


     def __getstate__(   self				)							->				int:
          _a     						=					self.__dict__.copy()
          _a     						=					None
          return state





     def __setstate__(   self     ,					__UpperCAmelCase				)							->				Any:
          _a     						=					d

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

          _a     						=					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


lowerCAmelCase_:       Union[str, Any]			     =       logging.get_logger(__name__)

lowerCAmelCase_:       Dict			     =       {
    "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__     ( _a						):
   snake_case_				=   "vit-hybrid"


   def __init__(  self,					_UpperCAmelCase=None,					_UpperCAmelCase=768,					_UpperCAmelCase=12,					_UpperCAmelCase=12,					_UpperCAmelCase=3072,					_UpperCAmelCase="gelu",					_UpperCAmelCase=0.0,					_UpperCAmelCase=0.0,					_UpperCAmelCase=0.02,					_UpperCAmelCase=1E-12,					_UpperCAmelCase=224,					_UpperCAmelCase=1,					_UpperCAmelCase=3,					_UpperCAmelCase=[1, 1024, 24, 24],					_UpperCAmelCase=True,					**_UpperCAmelCase,					):
        '''simple docstring'''



        super().__init__(**_UpperCAmelCase	)

        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(_UpperCAmelCase,					_UpperCAmelCase	):
             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(**_UpperCAmelCase	)

        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 						snake_case__						(  self	):
        '''simple docstring'''



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




