
"""simple docstring"""
from collections import Counter
import datasets
import transformers
from transformers.convert_slow_tokenizer import SLOW_TO_FAST_CONVERTERS

from transformers.utils import logging

logging.set_verbosity_info()

_a   :      Union[str, Any]       =				{
    name: (getattr(transformers, name), getattr(transformers, name + """Fast""")) for name in SLOW_TO_FAST_CONVERTERS
}

_a   :      Any       =				datasets.load_dataset("""xnli""", split="""test+validation""")

_a   :      Any       =				0
_a   :      int       =				0
_a   :      Optional[Any]       =				0
_a   :      Dict       =				0
def 					a__ ( a :					Dict							,  a :					Tuple							,  a :					Optional[Any]							,  a :					Optional[int]		):

  """simple docstring"""







  if spm_diff == list(reversed(a		)		):
    # AAA -> AA+A vs A+AA case.
    return True
  elif len(a		) == len(a		) and fast.decode(a		) == fast.decode(a		):
    # Second order OK
    # Barrich -> Barr + ich vs Bar + rich
    return True
  _snake_case  :    Any            = slow.encode(slow.decode(a		)		)
  _snake_case  :    Union[str, Any]            = fast.encode(fast.decode(a		)		)
  if spm_reencoded != spm_diff and spm_reencoded == tok_reencoded:
    # Type 3 error.
    # Snehagatha ->
    #       Sne, h, aga, th, a
    #       Sne, ha, gat, ha
    # Encoding the wrong with sp does not even recover what spm gave us
    # It fits tokenizer however...
    return True
  return False
def 					a__ ( a :					str							,  a :					str							,  a :					Dict		):

  """simple docstring"""







  _snake_case  :    Optional[int]            = fast.encode_plus(a		)[0]
  _snake_case  :    List[Any]            = enc.offsets
  _snake_case      ,       _snake_case  :    Dict            = offsets[idx], offsets[idx - 1]
  if curr is not None and line[curr[0] : curr[1]] == "\u200f":
    return True
  if prev is not None and line[prev[0] : prev[1]] == "\u200f":
    return True
def 					a__ ( a :					Optional[Any]							,  a :					List[str]							,  a :					List[Any]							,  a :					Optional[Any]							,  a :					Any		):

  """simple docstring"""







  for i, (spm_id, tok_id) in enumerate(zip(a							,  a		)		):
    if spm_id != tok_id:
      break
  _snake_case  :    Any            = i
  for i, (spm_id, tok_id) in enumerate(zip(reversed(a		)							,  reversed(a		)		)		):
    if spm_id != tok_id:
      break
  _snake_case  :    Dict            = len(a		) - i

  _snake_case  :    int            = spm_ids[first:last]
  _snake_case  :    Union[str, Any]            = tok_ids[first:last]

  if check_diff(a							,  a							,  a							,  a		):
    return True

  if check_LTR_mark(a							,  a							,  a		):
    return True

  if last - first > 5:
    # We might have twice a single problem, attempt to subdivide the disjointed tokens into smaller problems
    _snake_case  :    str            = Counter(spm_ids[first:last]		)
    _snake_case  :    List[Any]            = Counter(tok_ids[first:last]		)

    _snake_case  :    Optional[Any]            = {spm_ for (spm_, si) in spms.items() if toks.get(spm_							,  0		) == si}
    _snake_case  :    str            = 3
    for i in range(last - first - min_width		):
      if all(spm_ids[first + i + j] in removable_tokens for j in range(a		)		):
        _snake_case  :    Dict            = [
            k
            for k in range(last - first - min_width		)
            if tok_ids[first + k : first + k + min_width] == spm_ids[first + i : first + i + min_width]
        ]
        for j in possible_matches:
          if check_diff(spm_ids[first : first + i]							,  tok_ids[first : first + j]							,  a							,  a		) and check_details(
              a							,  spm_ids[first + i : last]							,  tok_ids[first + j : last]							,  a							,  a							,  ):
            return True

  print(f'Spm: {[fast.decode([spm_ids[i]]		) for i in range(a							,  a		)]}'		)
  try:
    print(f'Tok: {[fast.decode([tok_ids[i]]		) for i in range(a							,  a		)]}'		)
  except Exception:
    pass

  _snake_case  :    str            = fast.decode(spm_ids[:first]		)
  _snake_case  :    Optional[Any]            = fast.decode(spm_ids[last:]		)
  _snake_case  :    Optional[Any]            = fast.decode(spm_ids[first:last]		)
  print()
  print(a		)
  return False
def 					a__ ( a :					str							,  a :					Optional[int]							,  a :					Optional[int]		):

  """simple docstring"""







  global perfect
  global imperfect
  global wrong
  global total

  _snake_case  :    List[str]            = slow.encode(a		)
  _snake_case  :    List[str]            = fast.encode(a		)

  _snake_case  :    List[str]            = False
  total += 1

  if slow_ids != fast_ids:
    if check_details(a							,  a							,  a							,  a							,  a		):
      _snake_case  :    Optional[int]            = True
      imperfect += 1
    else:
      wrong += 1
  else:
    perfect += 1

  if total % 10_000 == 0:
    print(f'({perfect} / {imperfect} / {wrong} ----- {perfect + imperfect + wrong})'		)

  if skip_assert:
    return

  assert (
      slow_ids == fast_ids
  ), f'line {text} : \n\n{slow_ids}\n{fast_ids}\n\n{slow.tokenize(a		)}\n{fast.tokenize(a		)}'
def 					a__ ( a :					str							,  a :					Any		):

  """simple docstring"""







  global batch_total
  for i in range(len(a		)		):
    # premise, all languages
    for text in dataset[i]["premise"].values():
      test_string(a							,  a							,  a		)

    # hypothesis, all languages
    for text in dataset[i]["hypothesis"]["translation"]:
      test_string(a							,  a							,  a		)


if __name__ == "__main__":
    for name, (slow_class, fast_class) in TOKENIZER_CLASSES.items():
        _a   :      str       =				list(slow_class.max_model_input_sizes.keys())
        for checkpoint in checkpoint_names:
            _a   :      Optional[Any]       =				0
            _a   :      Tuple       =				0
            _a   :      Dict       =				0
            _a   :      List[str]       =				0

            print(f'========================== Checking {name}: {checkpoint} ==========================')
            _a   :      Union[str, Any]       =				slow_class.from_pretrained(checkpoint, force_download=True)
            _a   :      int       =				fast_class.from_pretrained(checkpoint, force_download=True)
            test_tokenizer(slow, fast)
            print(f'Accuracy {perfect * 100 / total:.2f}')









import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


lowerCamelCase					    =	threading.Lock()
lowerCamelCase					    =	None

lowerCamelCase					    =	{
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

lowerCamelCase					    =	logging.WARNING

lowerCamelCase					    =	True
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _lowercase     			=						os.getenv('DIFFUSERS_VERBOSITY',   _lowercase   )
    if env_level_str:
        if env_level_str in log_levels:
            return log_levels[env_level_str]
        else:
            logging.getLogger().warning(
                f'''Unknown option DIFFUSERS_VERBOSITY={env_level_str}, '''
                f'''has to be one of: { ", ".join(log_levels.keys()   ) }'''   )
    return _default_log_level
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return __name__.split('.'   )[0]
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return logging.getLogger(_get_library_name()   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _default_handler

    with _lock:
        if _default_handler:
            # This library has already configured the library root logger.
            return
        _lowercase     			=						logging.StreamHandler()  # Set sys.stderr as stream.
        _lowercase     			=						sys.stderr.flush

        # Apply our default configuration to the library root logger.
        _lowercase     			=						_get_library_root_logger()
        library_root_logger.addHandler(_default_handler   )
        library_root_logger.setLevel(_get_default_logging_level()   )
        _lowercase     			=						False
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _default_handler

    with _lock:
        if not _default_handler:
            return

        _lowercase     			=						_get_library_root_logger()
        library_root_logger.removeHandler(_default_handler   )
        library_root_logger.setLevel(logging.NOTSET   )
        _lowercase     			=						None
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return log_levels
def 							UpperCAmelCase   ( _lowercase = None   ):


    '''simple docstring'''



    if name is None:
        _lowercase     			=						_get_library_name()

    _configure_library_root_logger()
    return logging.getLogger(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()
    return _get_library_root_logger().getEffectiveLevel()
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



    _configure_library_root_logger()
    _get_library_root_logger().setLevel(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return set_verbosity(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return set_verbosity(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return set_verbosity(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    return set_verbosity(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()

    assert _default_handler is not None
    _get_library_root_logger().removeHandler(_default_handler   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()

    assert _default_handler is not None
    _get_library_root_logger().addHandler(_default_handler   )
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



    _configure_library_root_logger()

    assert handler is not None
    _get_library_root_logger().addHandler(_lowercase   )
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



    _configure_library_root_logger()

    assert handler is not None and handler not in _get_library_root_logger().handlers
    _get_library_root_logger().removeHandler(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()
    _lowercase     			=						False
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _configure_library_root_logger()
    _lowercase     			=						True
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _lowercase     			=						_get_library_root_logger().handlers

    for handler in handlers:
        _lowercase     			=						logging.Formatter('[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s'   )
        handler.setFormatter(_lowercase   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    _lowercase     			=						_get_library_root_logger().handlers

    for handler in handlers:
        handler.setFormatter(_lowercase   )
def 							UpperCAmelCase   ( self,   *_lowercase,   **_lowercase   ):


    '''simple docstring'''



    _lowercase     			=						os.getenv('DIFFUSERS_NO_ADVISORY_WARNINGS',   _lowercase   )
    if no_advisory_warnings:
        return
    self.warning(*_lowercase,   **_lowercase   )


lowerCamelCase					    =	warning_advice

class        snake_case_				:







   """simple docstring"""



   def __init__(     self:						int ,							*snake_case__:						str ,							**snake_case__:						Any						)	->		Any:  # pylint: disable=unused-argument


       """simple docstring"""



       _lowercase     			=						args[0] if args else None

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


       """simple docstring"""



       return iter(self._iterator						)

   def __getattr__(     self:						int ,							snake_case__:						Any						)	->		List[Any]:


       """simple docstring"""



       def empty_fn(*snake_case__:						Optional[int] ,							**snake_case__:						Union[str, Any]						):  # pylint: disable=unused-argument
           return

       return empty_fn

   def __enter__(     self:						List[Any]						)	->		Tuple:


       """simple docstring"""



       return self

   def __exit__(     self:						List[str] ,							snake_case__:						Optional[Any] ,							snake_case__:						Dict ,							snake_case__:						List[str]						)	->		Optional[Any]:


       """simple docstring"""



       return






class        snake_case_				:







   """simple docstring"""



   def __call__(     self:						List[str] ,							*snake_case__:						Tuple ,							**snake_case__:						Union[str, Any]						)	->		List[str]:


       """simple docstring"""



       if _tqdm_active:
           return tqdm_lib.tqdm(*snake_case__ ,							**snake_case__						)
       else:
           return EmptyTqdm(*snake_case__ ,							**snake_case__						)

   def       SCREAMING_SNAKE_CASE__					(     self:						Tuple ,							*snake_case__:						Union[str, Any] ,							**snake_case__:						str						)	->		Optional[int]:


       """simple docstring"""



       _lowercase     			=						None
       if _tqdm_active:
           return tqdm_lib.tqdm.set_lock(*snake_case__ ,							**snake_case__						)

   def       SCREAMING_SNAKE_CASE__					(     self:						int						)	->		int:


       """simple docstring"""



       if _tqdm_active:
           return tqdm_lib.tqdm.get_lock()






lowerCamelCase					    =	_tqdm_cls()
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _tqdm_active
    return bool(_tqdm_active   )
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _tqdm_active
    _lowercase     			=						True
def 							UpperCAmelCase   ( ):


    '''simple docstring'''



    global _tqdm_active
    _lowercase     			=						False
