




'''simple docstring'''





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		:	str       =      logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
a		:	List[Any]       =      {
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
}

a		:	Dict       =      {
    '''RUCAIBox/mvp''': 1_0_2_4,
}





@lru_cache()
def UpperCAmelCase    (       ):
    _a				:							str							       =      (
        list(range(ord("""!"""						)   ,	ord("""~"""						) + 1						)						) + list(range(ord("""¡"""						)   ,	ord("""¬"""						) + 1						)						) + list(range(ord("""®"""						)   ,	ord("""ÿ"""						) + 1						)						)
    )
    _a				:							str							       =      bs[:]
    _a				:							Dict							       =      0
    for b in range(2**8						):
        if b not in bs:
            bs.append(UpperCAmelCase_						)
            cs.append(2**8 + n						)
            n += 1
    _a				:							Tuple							       =      [chr(UpperCAmelCase_						) for n in cs]
    return dict(zip(UpperCAmelCase_   ,	UpperCAmelCase_						)						)





def UpperCAmelCase    (       UpperCAmelCase_						):
    _a				:							str							       =      set()
    _a				:							Any							       =      word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)						)
        _a				:							List[str]							       =      char
    return pairs





class      UpperCamelCase       (	snake_case__       ):
  a     :Union[str, Any]          =					VOCAB_FILES_NAMES
  a     :Union[str, Any]          =					PRETRAINED_VOCAB_FILES_MAP
  a     :Union[str, Any]          =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a     :Optional[Any]          =					['input_ids', 'attention_mask']



  def __init__(			self		,     __lowerCAmelCase		,     __lowerCAmelCase		,     __lowerCAmelCase="replace"		,     __lowerCAmelCase="<s>"		,     __lowerCAmelCase="</s>"		,     __lowerCAmelCase="</s>"		,     __lowerCAmelCase="<s>"		,     __lowerCAmelCase="<unk>"		,     __lowerCAmelCase="<pad>"		,     __lowerCAmelCase="<mask>"		,     __lowerCAmelCase=False		,     **__lowerCAmelCase		,     ):







      '''simple docstring'''


      _a				:							int							       =      AddedToken(__lowerCAmelCase		,     lstrip=__lowerCAmelCase		,     rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase		,     __lowerCAmelCase ) else bos_token
      _a				:							Tuple							       =      AddedToken(__lowerCAmelCase		,     lstrip=__lowerCAmelCase		,     rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase		,     __lowerCAmelCase ) else eos_token
      _a				:							Tuple							       =      AddedToken(__lowerCAmelCase		,     lstrip=__lowerCAmelCase		,     rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase		,     __lowerCAmelCase ) else sep_token
      _a				:							Tuple							       =      AddedToken(__lowerCAmelCase		,     lstrip=__lowerCAmelCase		,     rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase		,     __lowerCAmelCase ) else cls_token
      _a				:							int							       =      AddedToken(__lowerCAmelCase		,     lstrip=__lowerCAmelCase		,     rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase		,     __lowerCAmelCase ) else unk_token
      _a				:							List[Any]							       =      AddedToken(__lowerCAmelCase		,     lstrip=__lowerCAmelCase		,     rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase		,     __lowerCAmelCase ) else pad_token

      # Mask token behave like a normal word, i.e. include the space before it
      _a				:							Dict							       =      AddedToken(__lowerCAmelCase		,     lstrip=__lowerCAmelCase		,     rstrip=__lowerCAmelCase ) if isinstance(__lowerCAmelCase		,     __lowerCAmelCase ) else mask_token

      super().__init__(
          errors=__lowerCAmelCase		,     bos_token=__lowerCAmelCase		,     eos_token=__lowerCAmelCase		,     unk_token=__lowerCAmelCase		,     sep_token=__lowerCAmelCase		,     cls_token=__lowerCAmelCase		,     pad_token=__lowerCAmelCase		,     mask_token=__lowerCAmelCase		,     add_prefix_space=__lowerCAmelCase		,     **__lowerCAmelCase		,     )
      with open(__lowerCAmelCase		,     encoding="""utf-8""" ) as vocab_handle:
          _a				:							Optional[Any]							       =      json.load(__lowerCAmelCase )
      _a				:							int							       =      {v: k for k, v in self.encoder.items()}
      _a				:							Union[str, Any]							       =      errors  # how to handle errors in decoding
      _a				:							List[str]							       =      bytes_to_unicode()
      _a				:							Optional[Any]							       =      {v: k for k, v in self.byte_encoder.items()}
      with open(__lowerCAmelCase		,     encoding="""utf-8""" ) as merges_handle:
          _a				:							List[Any]							       =      merges_handle.read().split("""\n""" )[1:-1]
      _a				:							Tuple							       =      [tuple(merge.split() ) for merge in bpe_merges]
      _a				:							Tuple							       =      dict(zip(__lowerCAmelCase		,     range(len(__lowerCAmelCase ) ) ) )
      _a				:							Optional[Any]							       =      {}
      _a				:							Tuple							       =      add_prefix_space

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



  @property
  def     a_							(			self ):







      '''simple docstring'''


      return len(self.encoder )



  def     a_							(			self ):







      '''simple docstring'''


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



  def     a_							(			self		,     __lowerCAmelCase ):







      '''simple docstring'''


      if token in self.cache:
          return self.cache[token]
      _a				:							List[Any]							       =      tuple(__lowerCAmelCase )
      _a				:							Any							       =      get_pairs(__lowerCAmelCase )

      if not pairs:
          return token

      while True:
          _a				:							List[str]							       =      min(__lowerCAmelCase		,     key=lambda __lowerCAmelCase : self.bpe_ranks.get(__lowerCAmelCase		,     float("""inf""" ) ) )
          if bigram not in self.bpe_ranks:
              break
          _a       , _a				:							Optional[int]							       =      bigram
          _a				:							int							       =      []
          _a				:							List[Any]							       =      0
          while i < len(__lowerCAmelCase ):
              try:
                  _a				:							Optional[int]							       =      word.index(__lowerCAmelCase		,     __lowerCAmelCase )
              except ValueError:
                  new_word.extend(word[i:] )
                  break
              else:
                  new_word.extend(word[i:j] )
                  _a				:							Any							       =      j

              if word[i] == first and i < len(__lowerCAmelCase ) - 1 and word[i + 1] == second:
                  new_word.append(first + second )
                  i += 2
              else:
                  new_word.append(word[i] )
                  i += 1
          _a				:							List[str]							       =      tuple(__lowerCAmelCase )
          _a				:							List[str]							       =      new_word
          if len(__lowerCAmelCase ) == 1:
              break
          else:
              _a				:							Union[str, Any]							       =      get_pairs(__lowerCAmelCase )
      _a				:							Dict							       =      """ """.join(__lowerCAmelCase )
      _a				:							int							       =      word
      return word



  def     a_							(			self		,     __lowerCAmelCase ):







      '''simple docstring'''


      _a				:							Optional[Any]							       =      []
      for token in re.findall(self.pat		,     __lowerCAmelCase ):
          _a				:							Any							       =      """""".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(__lowerCAmelCase ).split(""" """ ) )
      return bpe_tokens



  def     a_							(			self		,     __lowerCAmelCase ):







      '''simple docstring'''


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



  def     a_							(			self		,     __lowerCAmelCase ):







      '''simple docstring'''


      return self.decoder.get(__lowerCAmelCase )



  def     a_							(			self		,     __lowerCAmelCase ):







      '''simple docstring'''


      _a				:							str							       =      """""".join(__lowerCAmelCase )
      _a				:							List[Any]							       =      bytearray([self.byte_decoder[c] for c in text] ).decode("""utf-8"""		,     errors=self.errors )
      return text



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase = None ):







      '''simple docstring'''


      if not os.path.isdir(__lowerCAmelCase ):
          logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
          return
      _a				:							Optional[int]							       =      os.path.join(
          __lowerCAmelCase		,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )
      _a				:							Optional[int]							       =      os.path.join(
          __lowerCAmelCase		,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""] )

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

      _a				:							List[Any]							       =      0
      with open(__lowerCAmelCase		,     """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 __lowerCAmelCase : 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!""" )
                  _a				:							List[Any]							       =      token_index
              writer.write(""" """.join(__lowerCAmelCase ) + """\n""" )
              index += 1

      return vocab_file, merge_file



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase = None ):







      '''simple docstring'''


      if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      _a				:							int							       =      [self.cls_token_id]
      _a				:							str							       =      [self.sep_token_id]
      return cls + token_ids_a + sep + sep + token_ids_a + sep



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase = None		,     __lowerCAmelCase = False ):







      '''simple docstring'''


      if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=__lowerCAmelCase		,     token_ids_a=__lowerCAmelCase		,     already_has_special_tokens=__lowerCAmelCase )

      if token_ids_a is None:
          return [1] + ([0] * len(__lowerCAmelCase )) + [1]
      return [1] + ([0] * len(__lowerCAmelCase )) + [1, 1] + ([0] * len(__lowerCAmelCase )) + [1]



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase = None ):







      '''simple docstring'''


      _a				:							str							       =      [self.sep_token_id]
      _a				:							int							       =      [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     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase=False		,     **__lowerCAmelCase ):







      '''simple docstring'''


      _a				:							Any							       =      kwargs.pop("""add_prefix_space"""		,     self.add_prefix_space )
      if (is_split_into_words or add_prefix_space) and (len(__lowerCAmelCase ) > 0 and not text[0].isspace()):
          _a				:							List[str]							       =      """ """ + text
      return (text, kwargs)









'''simple docstring'''







import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
					snake_case_  :							Union[str, Any]            =	[]

					snake_case_  :							List[Any]            =	os.path.join("tests", "models", "**", "test_modeling_*.py")
					snake_case_  :							int            =	glob.glob(pattern)
					# TODO: deal with TF/Flax too
					snake_case_  :							Optional[int]            =	[
					    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:
										snake_case_  :							Any            =	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:
																				snake_case_  :							Tuple            =	tester_class(parent=None)
															except Exception:
																				continue
															if hasattr(tester, "get_config"):
																				snake_case_  :							Any            =	tester.get_config()
																				for k, v in config.to_dict().items():
																									if isinstance(v, int):
																														snake_case_  :							int            =	None
																														if k in ["vocab_size"]:
																																			snake_case_  :							Optional[Any]            =	1_00
																														elif k in ["max_position_embeddings"]:
																																			snake_case_  :							Any            =	1_28
																														elif k in ["hidden_size", "d_model"]:
																																			snake_case_  :							str            =	40
																														elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
																																			snake_case_  :							str            =	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))





