'''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


UpperCamelCase       :     Any			=    logging.get_logger(__name__)

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

UpperCamelCase       :     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"""},
}

UpperCamelCase       :     str			=    {"""stas/tiny-wmt19-en-de""": 1_024}
UpperCamelCase       :     int			=    {
    """stas/tiny-wmt19-en-de""": {
        """langs""": ["""en""", """de"""],
        """model_max_length""": 1_024,
        """special_tokens_map_file""": None,
        """full_tokenizer_file""": None,
    }
}






def SCREAMING_SNAKE_CASE__  (				snake_case       :				Any  )   ->				Any:







     """simple docstring"""
     a					:							Dict							= set()
     a					:							Optional[Any]							= word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)  )
          a					:							int							= char
     return pairs






def SCREAMING_SNAKE_CASE__  (				snake_case       :				str  )   ->				str:







     """simple docstring"""
     a					:							Union[str, Any]							= text.replace('，'				,	','  )
     a					:							int							= re.sub(R'。\s*'				,	'. '				,	snake_case  )
     a					:							List[Any]							= text.replace('、'				,	','  )
     a					:							Optional[Any]							= text.replace('”'				,	'"'  )
     a					:							str							= text.replace('“'				,	'"'  )
     a					:							Tuple							= text.replace('∶'				,	':'  )
     a					:							List[str]							= text.replace('：'				,	':'  )
     a					:							int							= text.replace('？'				,	'?'  )
     a					:							Optional[Any]							= text.replace('《'				,	'"'  )
     a					:							Optional[Any]							= text.replace('》'				,	'"'  )
     a					:							List[Any]							= text.replace('）'				,	')'  )
     a					:							Any							= text.replace('！'				,	'!'  )
     a					:							Optional[int]							= text.replace('（'				,	'('  )
     a					:							str							= text.replace('；'				,	';'  )
     a					:							Any							= text.replace('１'				,	'1'  )
     a					:							str							= text.replace('」'				,	'"'  )
     a					:							str							= text.replace('「'				,	'"'  )
     a					:							Dict							= text.replace('０'				,	'0'  )
     a					:							Tuple							= text.replace('３'				,	'3'  )
     a					:							Optional[Any]							= text.replace('２'				,	'2'  )
     a					:							int							= text.replace('５'				,	'5'  )
     a					:							Tuple							= text.replace('６'				,	'6'  )
     a					:							Any							= text.replace('９'				,	'9'  )
     a					:							Optional[Any]							= text.replace('７'				,	'7'  )
     a					:							int							= text.replace('８'				,	'8'  )
     a					:							str							= text.replace('４'				,	'4'  )
     a					:							Any							= re.sub(R'．\s*'				,	'. '				,	snake_case  )
     a					:							int							= text.replace('～'				,	'~'  )
     a					:							Union[str, Any]							= text.replace('’'				,	'\''  )
     a					:							Tuple							= text.replace('…'				,	'...'  )
     a					:							Union[str, Any]							= text.replace('━'				,	'-'  )
     a					:							List[str]							= text.replace('〈'				,	'<'  )
     a					:							Union[str, Any]							= text.replace('〉'				,	'>'  )
     a					:							Optional[Any]							= text.replace('【'				,	'['  )
     a					:							Any							= text.replace('】'				,	']'  )
     a					:							Optional[int]							= text.replace('％'				,	'%'  )
     return text






def SCREAMING_SNAKE_CASE__  (				snake_case       :				Optional[Any]  )   ->				Any:







     """simple docstring"""
     a					:							Dict							= []
     for char in text:
          a					:							int							= unicodedata.category(snake_case  )
          if cat.startswith('C'  ):
               continue
          output.append(snake_case  )
     return "".join(snake_case  )





class   UpperCamelCase					(       a_       ):







    """simple docstring"""





    A     :    List[Any]				=			VOCAB_FILES_NAMES
    A     :    Tuple				=			PRETRAINED_VOCAB_FILES_MAP
    A     :    Optional[Any]				=			PRETRAINED_INIT_CONFIGURATION
    A     :    int				=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    A     :    List[str]				=			["input_ids", "attention_mask"]





    def __init__(					self     :						Tuple							,							UpperCAmelCase_     :						Optional[int]=None							,							UpperCAmelCase_     :						Union[str, Any]=None							,							UpperCAmelCase_     :						Tuple=None							,							UpperCAmelCase_     :						Union[str, Any]=None							,							UpperCAmelCase_     :						int=False							,							UpperCAmelCase_     :						int="<unk>"							,							UpperCAmelCase_     :						Any="<s>"							,							UpperCAmelCase_     :						int="</s>"							,							UpperCAmelCase_     :						int="<pad>"							,							**UpperCAmelCase_     :						List[Any]							,							):


         """simple docstring"""







         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					:							Union[str, Any]							= sacremoses

         a					:							Optional[int]							= src_vocab_file
         a					:							Dict							= tgt_vocab_file
         a					:							int							= merges_file
         a					:							int							= do_lower_case

         # cache of sm.MosesPunctNormalizer instance
         a					:							Optional[Any]							= {}
         # cache of sm.MosesTokenizer instance
         a					:							Any							= {}
         a					:							List[Any]							= {}

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





    def    SCREAMING_SNAKE_CASE_     (					self     :						str):


         """simple docstring"""







         return self.get_src_vocab()





    @property
    def    SCREAMING_SNAKE_CASE_     (					self     :						str):


         """simple docstring"""







         return self.src_vocab_size





    def    SCREAMING_SNAKE_CASE_     (					self     :						Any							,							UpperCAmelCase_     :						Optional[int]							,							UpperCAmelCase_     :						str):


         """simple docstring"""







         if lang not in self.cache_moses_punct_normalizer:
              a					:							Optional[Any]							= self.sm.MosesPunctNormalizer(lang=UpperCAmelCase_)
              a					:							Union[str, Any]							= punct_normalizer
         return self.cache_moses_punct_normalizer[lang].normalize(UpperCAmelCase_)





    def    SCREAMING_SNAKE_CASE_     (					self     :						List[str]							,							UpperCAmelCase_     :						int							,							UpperCAmelCase_     :						Tuple):


         """simple docstring"""







         if lang not in self.cache_moses_tokenizer:
              a					:							Dict							= self.sm.MosesTokenizer(lang=UpperCAmelCase_)
              a					:							Optional[int]							= moses_tokenizer
         return self.cache_moses_tokenizer[lang].tokenize(
             UpperCAmelCase_							,							aggressive_dash_splits=UpperCAmelCase_							,							return_str=UpperCAmelCase_							,							escape=UpperCAmelCase_)





    def    SCREAMING_SNAKE_CASE_     (					self     :						Dict							,							UpperCAmelCase_     :						List[str]							,							UpperCAmelCase_     :						Any):


         """simple docstring"""







         if lang not in self.cache_moses_detokenizer:
              a					:							Union[str, Any]							= self.sm.MosesDetokenizer(lang=UpperCAmelCase_)
              a					:							int							= moses_detokenizer
         return self.cache_moses_detokenizer[lang].detokenize(UpperCAmelCase_)





    def    SCREAMING_SNAKE_CASE_     (					self     :						Optional[Any]							,							UpperCAmelCase_     :						List[str]							,							UpperCAmelCase_     :						Tuple):


         """simple docstring"""







         a					:							Optional[int]							= replace_unicode_punct(UpperCAmelCase_)
         a					:							Dict							= self.moses_punct_norm(UpperCAmelCase_							,							UpperCAmelCase_)
         a					:							Optional[Any]							= remove_non_printing_char(UpperCAmelCase_)
         return text





    @property
    def    SCREAMING_SNAKE_CASE_     (					self     :						int):


         """simple docstring"""







         return len(self.encoder)





    @property
    def    SCREAMING_SNAKE_CASE_     (					self     :						Optional[Any]):


         """simple docstring"""







         return len(self.decoder)





    def    SCREAMING_SNAKE_CASE_     (					self     :						str):


         """simple docstring"""







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





    def    SCREAMING_SNAKE_CASE_     (					self     :						Optional[int]):


         """simple docstring"""







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





    def    SCREAMING_SNAKE_CASE_     (					self     :						Union[str, Any]							,							UpperCAmelCase_     :						str):


         """simple docstring"""







         a					:							Tuple							= tuple(token[:-1]) + (token[-1] + '</w>',)
         if token in self.cache:
              return self.cache[token]
         a					:							Dict							= get_pairs(UpperCAmelCase_)

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

         while True:
              a					:							Optional[int]							= min(UpperCAmelCase_							,							key=lambda UpperCAmelCase_: self.bpe_ranks.get(UpperCAmelCase_							,							float('inf')))
              if bigram not in self.bpe_ranks:
                   break
              a							,			a					:							Any							= bigram
              a					:							Union[str, Any]							= []
              a					:							Dict							= 0
              while i < len(UpperCAmelCase_):
                   try:
                        a					:							Union[str, Any]							= word.index(UpperCAmelCase_							,							UpperCAmelCase_)
                   except ValueError:
                        new_word.extend(word[i:])
                        break
                   else:
                        new_word.extend(word[i:j])
                        a					:							Tuple							= 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					:							int							= tuple(UpperCAmelCase_)
              a					:							Any							= new_word
              if len(UpperCAmelCase_) == 1:
                   break
              else:
                   a					:							int							= get_pairs(UpperCAmelCase_)
         a					:							Tuple							= ' '.join(UpperCAmelCase_)
         if word == "\n  </w>":
              a					:							List[Any]							= '\n</w>'
         a					:							Union[str, Any]							= word
         return word





    def    SCREAMING_SNAKE_CASE_     (					self     :						List[str]							,							UpperCAmelCase_     :						Dict							,							UpperCAmelCase_     :						Optional[int]="en"							,							UpperCAmelCase_     :						Dict=False):


         """simple docstring"""







         a					:							List[Any]							= self.src_lang

         if self.do_lower_case:
              a					:							Any							= text.lower()

         if bypass_tokenizer:
              a					:							int							= text.split()
         else:
              a					:							Any							= self.moses_pipeline(UpperCAmelCase_							,							lang=UpperCAmelCase_)
              a					:							Optional[int]							= self.moses_tokenize(UpperCAmelCase_							,							lang=UpperCAmelCase_)

         a					:							List[Any]							= []
         for token in text:
              if token:
                   split_tokens.extend(list(self.bpe(UpperCAmelCase_).split(' ')))

         return split_tokens





    def    SCREAMING_SNAKE_CASE_     (					self     :						List[Any]							,							UpperCAmelCase_     :						List[Any]):


         """simple docstring"""







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





    def    SCREAMING_SNAKE_CASE_     (					self     :						Tuple							,							UpperCAmelCase_     :						Any):


         """simple docstring"""







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





    def    SCREAMING_SNAKE_CASE_     (					self     :						Optional[Any]							,							UpperCAmelCase_     :						Optional[Any]):


         """simple docstring"""







         a					:							Optional[int]							= [t.replace(' '							,							'').replace('</w>'							,							' ') for t in tokens]
         a					:							Dict							= ''.join(UpperCAmelCase_).split()
         # detokenize
         a					:							Optional[Any]							= self.moses_detokenize(UpperCAmelCase_							,							self.tgt_lang)
         return text





    def    SCREAMING_SNAKE_CASE_     (					self     :						Union[str, Any]							,							UpperCAmelCase_     :						List[int]							,							UpperCAmelCase_     :						Optional[List[int]] = None):


         """simple docstring"""







         a					:							Any							= [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    SCREAMING_SNAKE_CASE_     (					self     :						Tuple							,							UpperCAmelCase_     :						List[int]							,							UpperCAmelCase_     :						Optional[List[int]] = None							,							UpperCAmelCase_     :						bool = False):


         """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_)
         # 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    SCREAMING_SNAKE_CASE_     (					self     :						Dict							,							UpperCAmelCase_     :						List[int]							,							UpperCAmelCase_     :						Optional[List[int]] = None):


         """simple docstring"""







         a					:							Union[str, Any]							= [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    SCREAMING_SNAKE_CASE_     (					self     :						Optional[int]							,							UpperCAmelCase_     :						str							,							UpperCAmelCase_     :						Optional[str] = None):


         """simple docstring"""







         if not os.path.isdir(UpperCAmelCase_):
              logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
              return

         a					:							List[str]							= os.path.join(
             UpperCAmelCase_							,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['src_vocab_file'])
         a					:							Optional[Any]							= os.path.join(
             UpperCAmelCase_							,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['tgt_vocab_file'])
         a					:							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')

         with open(UpperCAmelCase_							,							'w'							,							encoding='utf-8') as f:
              a					:							List[str]							= {v: k for k, v in self.decoder.items()}
              f.write(json.dumps(UpperCAmelCase_							,							indent=2							,							sort_keys=UpperCAmelCase_							,							ensure_ascii=UpperCAmelCase_) + '\n')

         a					:							Dict							= 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					:							List[Any]							= token_index
                   writer.write(' '.join(UpperCAmelCase_) + '\n')
                   index += 1

         return src_vocab_file, tgt_vocab_file, merges_file





    def __getstate__(					self     :						Optional[Any]):


         """simple docstring"""







         a					:							Any							= self.__dict__.copy()
         a					:							Dict							= None
         return state







    def __setstate__(					self     :						Union[str, Any]							,							UpperCAmelCase_     :						Union[str, Any]):


         """simple docstring"""







         a					:							Union[str, Any]							= 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					:							List[Any]							= sacremoses


'''simple docstring'''





import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
      UpperCamelCase       :     List[Any]			=    []

      UpperCamelCase       :     Tuple			=    os.path.join("""tests""", """models""", """**""", """test_modeling_*.py""")
      UpperCamelCase       :     List[str]			=    glob.glob(pattern)
      # TODO: deal with TF/Flax too
      UpperCamelCase       :     List[Any]			=    [
          x for x in test_files if not (x.startswith("""test_modeling_tf_""") or x.startswith("""test_modeling_flax_"""))
      ]

      for test_file in test_files:
            UpperCamelCase       :     List[str]			=    get_tester_classes(test_file)
            for tester_class in tester_classes:
                  # A few tester classes don't have `parent` parameter in `__init__`.
                  # TODO: deal this better
                  try:
                        UpperCamelCase       :     int			=    tester_class(parent=None)
                  except Exception:
                        continue
                  if hasattr(tester, """get_config"""):
                        UpperCamelCase       :     Union[str, Any]			=    tester.get_config()
                        for k, v in config.to_dict().items():
                              if isinstance(v, int):
                                    UpperCamelCase       :     List[Any]			=    None
                                    if k in ["vocab_size"]:
                                          UpperCamelCase       :     List[Any]			=    100
                                    elif k in ["max_position_embeddings"]:
                                          UpperCamelCase       :     Tuple			=    128
                                    elif k in ["hidden_size", "d_model"]:
                                          UpperCamelCase       :     Any			=    40
                                    elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
                                          UpperCamelCase       :     Tuple			=    5
                                    if target is not None and v > target:
                                          failures.append(
                                              f'''{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`'''
                                              f''' with config["{k}"] = {v} which is too large for testing! Set its value to be smaller'''
                                              f''' than {target}.'''
                                          )

      if len(failures) > 0:
            raise Exception(f'''There were {len(failures)} failures:\n''' + """\n""".join(failures))

