


'''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()

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

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

lowercase__					  =		0
lowercase__					  =		0
lowercase__					  =		0
lowercase__					  =		0






def __UpperCamelCase (      __lowerCamelCase		:			List[Any]   ,	__lowerCamelCase		:			Tuple   ,	__lowerCamelCase		:			str   ,	__lowerCamelCase		:			Tuple					)   ->  Optional[Any]:







     '''simple docstring'''






     if spm_diff == list(reversed(__lowerCamelCase					)					):
          # AAA -> AA+A vs A+AA case.
          return True
     elif len(__lowerCamelCase					) == len(__lowerCamelCase					) and fast.decode(__lowerCamelCase					) == fast.decode(__lowerCamelCase					):
          # Second order OK
          # Barrich -> Barr + ich vs Bar + rich
          return True
     _a            =		slow.encode(slow.decode(__lowerCamelCase					)					)
     _a            =		fast.encode(fast.decode(__lowerCamelCase					)					)
     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 __UpperCamelCase (      __lowerCamelCase		:			Any   ,	__lowerCamelCase		:			Tuple   ,	__lowerCamelCase		:			Optional[Any]					)   ->  int:







     '''simple docstring'''






     _a            =		fast.encode_plus(__lowerCamelCase					)[0]
     _a            =		enc.offsets
     _a      ,      _a            =		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 __UpperCamelCase (      __lowerCamelCase		:			Union[str, Any]   ,	__lowerCamelCase		:			List[Any]   ,	__lowerCamelCase		:			Optional[int]   ,	__lowerCamelCase		:			Union[str, Any]   ,	__lowerCamelCase		:			Any					)   ->  str:







     '''simple docstring'''






     for i, (spm_id, tok_id) in enumerate(zip(__lowerCamelCase   ,	__lowerCamelCase					)					):
          if spm_id != tok_id:
               break
     _a            =		i
     for i, (spm_id, tok_id) in enumerate(zip(reversed(__lowerCamelCase					)   ,	reversed(__lowerCamelCase					)					)					):
          if spm_id != tok_id:
               break
     _a            =		len(__lowerCamelCase					) - i

     _a            =		spm_ids[first:last]
     _a            =		tok_ids[first:last]

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

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

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

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

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

     _a            =		fast.decode(spm_ids[:first]					)
     _a            =		fast.decode(spm_ids[last:]					)
     _a            =		fast.decode(spm_ids[first:last]					)
     print()
     print(__lowerCamelCase					)
     return False






def __UpperCamelCase (      __lowerCamelCase		:			Optional[Any]   ,	__lowerCamelCase		:			Union[str, Any]   ,	__lowerCamelCase		:			str					)   ->  Optional[Any]:







     '''simple docstring'''






     global perfect
     global imperfect
     global wrong
     global total

     _a            =		slow.encode(__lowerCamelCase					)
     _a            =		fast.encode(__lowerCamelCase					)

     _a            =		False
     total += 1

     if slow_ids != fast_ids:
          if check_details(__lowerCamelCase   ,	__lowerCamelCase   ,	__lowerCamelCase   ,	__lowerCamelCase   ,	__lowerCamelCase					):
               _a            =		True
               imperfect += 1
          else:
               wrong += 1
     else:
          perfect += 1

     if total % 1_0000 == 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(__lowerCamelCase					)}\n{fast.tokenize(__lowerCamelCase					)}"






def __UpperCamelCase (      __lowerCamelCase		:			Tuple   ,	__lowerCamelCase		:			Any					)   ->  Tuple:







     '''simple docstring'''






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

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


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

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





'''simple docstring'''

import os
import sys
import time

from . import transposition_cipher as trans_cipher






def __UpperCamelCase (      )   ->  None:







     '''simple docstring'''






     _a            =		"Prehistoric Men.txt"
     _a            =		"Output.txt"
     _a            =		int(input("Enter key: "					)					)
     _a            =		input("Encrypt/Decrypt [e/d]: "					)

     if not os.path.exists(__lowerCamelCase					):
          print(F"File {input_file} does not exist. Quitting..."					)
          sys.exit()
     if os.path.exists(__lowerCamelCase					):
          print(F"Overwrite {output_file}? [y/n]"					)
          _a            =		input("> "					)
          if not response.lower().startswith("y"					):
               sys.exit()

     _a            =		time.time()
     if mode.lower().startswith("e"					):
          with open(__lowerCamelCase					) as f:
               _a            =		f.read()
          _a            =		trans_cipher.encrypt_message(__lowerCamelCase   ,	__lowerCamelCase					)
     elif mode.lower().startswith("d"					):
          with open(__lowerCamelCase					) as f:
               _a            =		f.read()
          _a            =		trans_cipher.decrypt_message(__lowerCamelCase   ,	__lowerCamelCase					)

     with open(__lowerCamelCase   ,	"w"					) as output_obj:
          output_obj.write(__lowerCamelCase					)

     _a            =		round(time.time() - start_time   ,	2					)
     print(("Done (", total_time, "seconds )")					)


if __name__ == "__main__":
   main()

