code: 
  
  
  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()
  
  __lowerCamelCase       :       int				   =			{
      name: (getattr(transformers, name), getattr(transformers, name + "Fast")) for name in SLOW_TO_FAST_CONVERTERS
  }
  
  __lowerCamelCase       :       int				   =			datasets.load_dataset("xnli", split="test+validation")
  
  __lowerCamelCase       :       str				   =			0
  __lowerCamelCase       :       int				   =			0
  __lowerCamelCase       :       Optional[int]				   =			0
  __lowerCamelCase       :       List[str]				   =			0
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_,	snake_case_,	snake_case_,	snake_case_	)			->							int:
  				if spm_diff == list(reversed(snake_case_	)	):
  								# AAA -> AA+A vs A+AA case.
  								return True
  				elif len(snake_case_	) == len(snake_case_	) and fast.decode(snake_case_	) == fast.decode(snake_case_	):
  								# Second order OK
  								# Barrich -> Barr + ich vs Bar + rich
  								return True
  				A__     :							Optional[Any]   				=slow.encode(slow.decode(snake_case_	)	)
  				A__     :							Dict   				=fast.encode(fast.decode(snake_case_	)	)
  				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   SCREAMING_SNAKE_CASE__						(							snake_case_,	snake_case_,	snake_case_	)			->							Any:
  				A__     :							Union[str, Any]   				=fast.encode_plus(snake_case_	)[0]
  				A__     :							Union[str, Any]   				=enc.offsets
  				A__				,  A__     :							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   SCREAMING_SNAKE_CASE__						(							snake_case_,	snake_case_,	snake_case_,	snake_case_,	snake_case_	)			->							Optional[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(snake_case_,	snake_case_	)	):
  								if spm_id != tok_id:
  												break
  				A__     :							List[Any]   				=i
  				for i, (spm_id, tok_id) in enumerate(zip(reversed(snake_case_	),	reversed(snake_case_	)	)	):
  								if spm_id != tok_id:
  												break
  				A__     :							Tuple   				=len(snake_case_	) - i
  
  				A__     :							Any   				=spm_ids[first:last]
  				A__     :							Any   				=tok_ids[first:last]
  
  				if check_diff(snake_case_,	snake_case_,	snake_case_,	snake_case_	):
  								return True
  
  				if check_LTR_mark(snake_case_,	snake_case_,	snake_case_	):
  								return True
  
  				if last - first > 5:
  								# We might have twice a single problem, attempt to subdivide the disjointed tokens into smaller problems
  								A__     :							Any   				=Counter(spm_ids[first:last]	)
  								A__     :							List[Any]   				=Counter(tok_ids[first:last]	)
  
  								A__     :							str   				={spm_ for (spm_, si) in spms.items() if toks.get(spm_,	0	) == si}
  								A__     :							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(snake_case_	)	):
  																A__     :							Union[str, Any]   				=[
  																    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],	snake_case_,	snake_case_	) and check_details(
  																				    snake_case_,	spm_ids[first + i : last],	tok_ids[first + j : last],	snake_case_,	snake_case_,	):
  																								return True
  
  				print(f'Spm: {[fast.decode([spm_ids[i]]	) for i in range(snake_case_,	snake_case_	)]}'	)
  				try:
  								print(f'Tok: {[fast.decode([tok_ids[i]]	) for i in range(snake_case_,	snake_case_	)]}'	)
  				except Exception:
  								pass
  
  				A__     :							str   				=fast.decode(spm_ids[:first]	)
  				A__     :							Optional[int]   				=fast.decode(spm_ids[last:]	)
  				A__     :							Union[str, Any]   				=fast.decode(spm_ids[first:last]	)
  				print()
  				print(snake_case_	)
  				return False
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_,	snake_case_,	snake_case_	)			->							Union[str, Any]:
  				global perfect
  				global imperfect
  				global wrong
  				global total
  
  				A__     :							int   				=slow.encode(snake_case_	)
  				A__     :							Optional[int]   				=fast.encode(snake_case_	)
  
  				A__     :							Optional[int]   				=False
  				total += 1
  
  				if slow_ids != fast_ids:
  								if check_details(snake_case_,	snake_case_,	snake_case_,	snake_case_,	snake_case_	):
  												A__     :							Union[str, Any]   				=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(snake_case_	)}\n{fast.tokenize(snake_case_	)}'
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_,	snake_case_	)			->							List[str]:
  				global batch_total
  				for i in range(len(snake_case_	)	):
  								# premise, all languages
  								for text in dataset[i]["premise"].values():
  												test_string(snake_case_,	snake_case_,	snake_case_	)
  
  								# hypothesis, all languages
  								for text in dataset[i]["hypothesis"]["translation"]:
  												test_string(snake_case_,	snake_case_,	snake_case_	)
  
  
  if __name__ == "__main__":
  						for name, (slow_class, fast_class) in TOKENIZER_CLASSES.items():
  												__lowerCamelCase       :       Optional[int]				   =			list(slow_class.max_model_input_sizes.keys())
  												for checkpoint in checkpoint_names:
  																		__lowerCamelCase       :       int				   =			0
  																		__lowerCamelCase       :       Optional[int]				   =			0
  																		__lowerCamelCase       :       List[Any]				   =			0
  																		__lowerCamelCase       :       Any				   =			0
  
  																		print(F"========================== Checking {name}: {checkpoint} ==========================")
  																		__lowerCamelCase       :       Dict				   =			slow_class.from_pretrained(checkpoint, force_download=True)
  																		__lowerCamelCase       :       List[Any]				   =			fast_class.from_pretrained(checkpoint, force_download=True)
  																		test_tokenizer(slow, fast)
  																		print(F"Accuracy {perfect * 100 / total:.2f}")
  
  
  
  
style_context: 
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							int:
  				barcode //= 1_0  # exclude the last digit
  				A__     :							List[str]   				=False
  				A__     :							Dict   				=0
  
  				# extract and check each digit
  				while barcode != 0:
  								A__     :							Union[str, Any]   				=1 if checker else 3
  								s += mult * (barcode % 1_0)
  								barcode //= 1_0
  								A__     :							Union[str, Any]   				=not checker
  
  				return (1_0 - (s % 1_0)) % 1_0
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							bool:
  				return len(str(snake_case_	)	) == 1_3 and get_check_digit(snake_case_	) == barcode % 1_0
  
  
  
  def   SCREAMING_SNAKE_CASE__						(							snake_case_	)			->							int:
  				if str(snake_case_	).isalpha():
  								A__     :							Tuple   				=f'Barcode \'{barcode}\' has alphabetic characters.'
  								raise ValueError(snake_case_	)
  				elif int(snake_case_	) < 0:
  								raise ValueError('''The entered barcode has a negative value. Try again.'''	)
  				else:
  								return int(snake_case_	)
  
  
  if __name__ == "__main__":
  						import doctest
  
  						doctest.testmod()
  						__lowerCamelCase       :       List[Any]				   =			get_barcode(input("Barcode: ").strip())
  
  						if is_valid(barcode):
  												print(F"'{barcode}' is a valid barcode.")
  						else:
  												print(F"'{barcode}' is NOT a valid barcode.")
  
  
  
  