






'''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()

UpperCamelCase_					=				{
    name: (getattr(transformers, name), getattr(transformers, name + "Fast")) for name in SLOW_TO_FAST_CONVERTERS
}

UpperCamelCase_					=				datasets.load_dataset("xnli", split="test+validation")

UpperCamelCase_					=				0
UpperCamelCase_					=				0
UpperCamelCase_					=				0
UpperCamelCase_					=				0






def  lowerCAmelCase__		(					a_  :     List[str]			,						a_  :     Tuple			,						a_  :     Tuple			,						a_  :     List[Any]			)   -> List[str]:
       if spm_diff == list(reversed(_UpperCamelCase			)			):
              # AAA -> AA+A vs A+AA case.
              return True
       elif len(_UpperCamelCase			) == len(_UpperCamelCase			) and fast.decode(_UpperCamelCase			) == fast.decode(_UpperCamelCase			):
              # Second order OK
              # Barrich -> Barr + ich vs Bar + rich
              return True
       UpperCAmelCase__	:   Optional[Any]												=	slow.encode(slow.decode(_UpperCamelCase			)			)
       UpperCAmelCase__	:   Any												=	fast.encode(fast.decode(_UpperCamelCase			)			)
       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  lowerCAmelCase__		(					a_  :     Optional[Any]			,						a_  :     Tuple			,						a_  :     Any			)   -> Optional[int]:
       UpperCAmelCase__	:   List[str]												=	fast.encode_plus(_UpperCamelCase			)[0]
       UpperCAmelCase__	:   List[Any]												=	enc.offsets
       UpperCAmelCase__	:   List[Any]												=	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  lowerCAmelCase__		(					a_  :     Any			,						a_  :     Union[str, Any]			,						a_  :     str			,						a_  :     List[Any]			,						a_  :     Union[str, Any]			)   -> Any:
       # Encoding can be the same with same result AAA -> A + AA vs AA + A
       # We can check that we use at least exactly the same number of tokens.
       for i, (spm_id, tok_id) in enumerate(zip(_UpperCamelCase			,						_UpperCamelCase			)			):
              if spm_id != tok_id:
                     break
       UpperCAmelCase__	:   Dict												=	i
       for i, (spm_id, tok_id) in enumerate(zip(reversed(_UpperCamelCase			)			,						reversed(_UpperCamelCase			)			)			):
              if spm_id != tok_id:
                     break
       UpperCAmelCase__	:   Union[str, Any]												=	len(_UpperCamelCase			) - i

       UpperCAmelCase__	:   Optional[int]												=	spm_ids[first:last]
       UpperCAmelCase__	:   str												=	tok_ids[first:last]

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

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

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

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

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

       UpperCAmelCase__	:   str												=	fast.decode(spm_ids[:first]			)
       UpperCAmelCase__	:   List[str]												=	fast.decode(spm_ids[last:]			)
       UpperCAmelCase__	:   Tuple												=	fast.decode(spm_ids[first:last]			)
       print()
       print(_UpperCamelCase			)
       return False






def  lowerCAmelCase__		(					a_  :     List[Any]			,						a_  :     Union[str, Any]			,						a_  :     Optional[Any]			)   -> Any:
       global perfect
       global imperfect
       global wrong
       global total

       UpperCAmelCase__	:   List[Any]												=	slow.encode(_UpperCamelCase			)
       UpperCAmelCase__	:   Any												=	fast.encode(_UpperCamelCase			)

       UpperCAmelCase__	:   int												=	False
       total += 1

       if slow_ids != fast_ids:
              if check_details(_UpperCamelCase			,						_UpperCamelCase			,						_UpperCamelCase			,						_UpperCamelCase			,						_UpperCamelCase			):
                     UpperCAmelCase__	:   Dict												=	True
                     imperfect += 1
              else:
                     wrong += 1
       else:
              perfect += 1

       if total % 1_0_0_0_0 == 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(_UpperCamelCase			)}\n{fast.tokenize(_UpperCamelCase			)}"""






def  lowerCAmelCase__		(					a_  :     Optional[Any]			,						a_  :     Dict			)   -> Optional[Any]:
       global batch_total
       for i in range(len(_UpperCamelCase			)			):
              # premise, all languages
              for text in dataset[i]["premise"].values():
                     test_string(_UpperCamelCase			,						_UpperCamelCase			,						_UpperCamelCase			)

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


if __name__ == "__main__":
  for name, (slow_class, fast_class) in TOKENIZER_CLASSES.items():
    UpperCamelCase_					=				list(slow_class.max_model_input_sizes.keys())
    for checkpoint in checkpoint_names:
      UpperCamelCase_					=				0
      UpperCamelCase_					=				0
      UpperCamelCase_					=				0
      UpperCamelCase_					=				0

      print(f'========================== Checking {name}: {checkpoint} ==========================')
      UpperCamelCase_					=				slow_class.from_pretrained(checkpoint, force_download=True)
      UpperCamelCase_					=				fast_class.from_pretrained(checkpoint, force_download=True)
      test_tokenizer(slow, fast)
      print(f'Accuracy {perfect * 100 / total:.2f}')

"""simple docstring"""







def        __lowerCAmelCase							(_UpperCamelCase = 10**6						):

	if n <= 0:
		raise ValueError('Please enter an integer greater than 0'						)

	__lowerCAmelCase     :		Optional[Any]		     = list(range(n + 1						)						)
	for number in range(2			,    n + 1						):
		if phi[number] == number:
			phi[number] -= 1
			for multiple in range(number * 2			,    n + 1			,    _UpperCamelCase						):
				__lowerCAmelCase     :		Tuple		     = (phi[multiple] // number) * (number - 1)

	__lowerCAmelCase     :		Any		     = 1
	for number in range(1			,    n + 1						):
		if (answer / phi[answer]) < (number / phi[number]):
			__lowerCAmelCase     :		List[Any]		     = number

	return answer


if __name__ == "__main__":
							print(solution())