

'''simple docstring'''




import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


_lowerCAmelCase            =		logging.get_logger(__name__)


_lowerCAmelCase            =		{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all LED models at https://huggingface.co/models?filter=LED
_lowerCAmelCase            =		{
    "vocab_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json",
    },
    "merges_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt",
    },
    "tokenizer_file": {
        "allenai/led-base-16384": "https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json",
    },
}

_lowerCAmelCase            =		{
    "allenai/led-base-16384": 16384,
}




@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 		UpperCamelCase			(					) ->      List[str]:






     '''simple docstring'''
     __magic_name__		  =							(
         list(range(ord('''!'''					)						,		ord('''~'''					) + 1					)					) + list(range(ord('''¡'''					)						,		ord('''¬'''					) + 1					)					) + list(range(ord('''®'''					)						,		ord('''ÿ'''					) + 1					)					)
     )
     __magic_name__		  =							bs[:]
     __magic_name__		  =							0
     for b in range(2**8					):
          if b not in bs:
               bs.append(lowerCAmelCase__					)
               cs.append(2**8 + n					)
               n += 1
     __magic_name__		  =							[chr(lowerCAmelCase__					) for n in cs]
     return dict(zip(lowerCAmelCase__						,		lowerCAmelCase__					)					)




def 		UpperCamelCase			(					a					) ->      str:






     '''simple docstring'''
     __magic_name__		  =							set()
     __magic_name__		  =							word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)					)
          __magic_name__		  =							char
     return pairs






class     _SCREAMING_SNAKE_CASE       (       lowercase_      ):
 __SCREAMING_SNAKE_CASE	:Optional[int]     			=	VOCAB_FILES_NAMES
 __SCREAMING_SNAKE_CASE	:int     			=	PRETRAINED_VOCAB_FILES_MAP
 __SCREAMING_SNAKE_CASE	:Any     			=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __SCREAMING_SNAKE_CASE	:List[str]     			=	["""input_ids""", """attention_mask"""]



 def __init__(       self						:       List[Any]					, a__						:       str					, a__						:       Union[str, Any]					, a__						:       List[Any]="replace"					, a__						:       Any="<s>"					, a__						:       List[str]="</s>"					, a__						:       List[Any]="</s>"					, a__						:       Optional[int]="<s>"					, a__						:       Optional[Any]="<unk>"					, a__						:       Union[str, Any]="<pad>"					, a__						:       List[str]="<mask>"					, a__						:       Tuple=False					, **a__						:       Tuple					, ):
      __magic_name__		  =							AddedToken(_lowercase					, lstrip=_lowercase					, rstrip=_lowercase     ) if isinstance(_lowercase					, _lowercase     ) else bos_token
      __magic_name__		  =							AddedToken(_lowercase					, lstrip=_lowercase					, rstrip=_lowercase     ) if isinstance(_lowercase					, _lowercase     ) else eos_token
      __magic_name__		  =							AddedToken(_lowercase					, lstrip=_lowercase					, rstrip=_lowercase     ) if isinstance(_lowercase					, _lowercase     ) else sep_token
      __magic_name__		  =							AddedToken(_lowercase					, lstrip=_lowercase					, rstrip=_lowercase     ) if isinstance(_lowercase					, _lowercase     ) else cls_token
      __magic_name__		  =							AddedToken(_lowercase					, lstrip=_lowercase					, rstrip=_lowercase     ) if isinstance(_lowercase					, _lowercase     ) else unk_token
      __magic_name__		  =							AddedToken(_lowercase					, lstrip=_lowercase					, rstrip=_lowercase     ) if isinstance(_lowercase					, _lowercase     ) else pad_token

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

      super().__init__(
          errors=_lowercase					, bos_token=_lowercase					, eos_token=_lowercase					, unk_token=_lowercase					, sep_token=_lowercase					, cls_token=_lowercase					, pad_token=_lowercase					, mask_token=_lowercase					, add_prefix_space=_lowercase					, **_lowercase					, )

      with open(_lowercase					, encoding='''utf-8'''     ) as vocab_handle:
           __magic_name__		  =							json.load(_lowercase     )
      __magic_name__		  =							{v: k for k, v in self.encoder.items()}
      __magic_name__		  =							errors  # how to handle errors in decoding
      __magic_name__		  =							bytes_to_unicode()
      __magic_name__		  =							{v: k for k, v in self.byte_encoder.items()}
      with open(_lowercase					, encoding='''utf-8'''     ) as merges_handle:
           __magic_name__		  =							merges_handle.read().split('''\n'''     )[1:-1]
      __magic_name__		  =							[tuple(merge.split()     ) for merge in bpe_merges]
      __magic_name__		  =							dict(zip(_lowercase					, range(len(_lowercase     )     )     )     )
      __magic_name__		  =							{}
      __magic_name__		  =							add_prefix_space

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



 @property
 # Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
 def 					snake_case__    (       self						:       Any     ):
      return len(self.encoder     )



 def 					snake_case__    (       self						:       int     ):
      return dict(self.encoder					, **self.added_tokens_encoder     )



 def 					snake_case__    (       self						:       List[str]					, a__						:       Any     ):
      if token in self.cache:
           return self.cache[token]
      __magic_name__		  =							tuple(_lowercase     )
      __magic_name__		  =							get_pairs(_lowercase     )

      if not pairs:
           return token

      while True:
           __magic_name__		  =							min(_lowercase					, key=lambda a__     : self.bpe_ranks.get(_lowercase					, float('''inf'''     )     )     )
           if bigram not in self.bpe_ranks:
                break
           __magic_name__  ,    __magic_name__		  =							bigram
           __magic_name__		  =							[]
           __magic_name__		  =							0
           while i < len(_lowercase     ):
                try:
                     __magic_name__		  =							word.index(_lowercase					, _lowercase     )
                except ValueError:
                     new_word.extend(word[i:]     )
                     break
                else:
                     new_word.extend(word[i:j]     )
                     __magic_name__		  =							j

                if word[i] == first and i < len(_lowercase     ) - 1 and word[i + 1] == second:
                     new_word.append(first + second     )
                     i += 2
                else:
                     new_word.append(word[i]     )
                     i += 1
           __magic_name__		  =							tuple(_lowercase     )
           __magic_name__		  =							new_word
           if len(_lowercase     ) == 1:
                break
           else:
                __magic_name__		  =							get_pairs(_lowercase     )
      __magic_name__		  =							''' '''.join(_lowercase     )
      __magic_name__		  =							word
      return word



 def 					snake_case__    (       self						:       str					, a__						:       List[str]     ):
      __magic_name__		  =							[]
      for token in re.findall(self.pat					, _lowercase     ):
           __magic_name__		  =							''''''.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(_lowercase     ).split(''' '''     )     )
      return bpe_tokens



 def 					snake_case__    (       self						:       str					, a__						:       str     ):
      return self.encoder.get(_lowercase					, self.encoder.get(self.unk_token     )     )



 def 					snake_case__    (       self						:       Optional[Any]					, a__						:       Optional[Any]     ):
      return self.decoder.get(_lowercase     )



 def 					snake_case__    (       self						:       str					, a__						:       int     ):
      __magic_name__		  =							''''''.join(_lowercase     )
      __magic_name__		  =							bytearray([self.byte_decoder[c] for c in text]     ).decode('''utf-8'''					, errors=self.errors     )
      return text



 def 					snake_case__    (       self						:       int					, a__						:       List[str]					, a__						:       Optional[int] = None     ):
      if not os.path.isdir(_lowercase     ):
           logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''     )
           return
      __magic_name__		  =							os.path.join(
          _lowercase					, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']     )
      __magic_name__		  =							os.path.join(
          _lowercase					, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']     )

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

      __magic_name__		  =							0
      with open(_lowercase					, '''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 a__     : 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!'''     )
                     __magic_name__		  =							token_index
                writer.write(''' '''.join(_lowercase     ) + '''\n'''     )
                index += 1

      return vocab_file, merge_file



 def 					snake_case__    (       self						:       Dict					, a__						:       Optional[int]					, a__						:       List[str] = None     ):
      if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      __magic_name__		  =							[self.cls_token_id]
      __magic_name__		  =							[self.sep_token_id]
      return cls + token_ids_a + sep + sep + token_ids_a + sep



 def 					snake_case__    (       self						:       str					, a__						:       int					, a__						:       int = None					, a__						:       int = False     ):
      if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=_lowercase					, token_ids_a=_lowercase					, already_has_special_tokens=_lowercase     )

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



 def 					snake_case__    (       self						:       int					, a__						:       Tuple					, a__						:       List[str] = None     ):
      __magic_name__		  =							[self.sep_token_id]
      __magic_name__		  =							[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 					snake_case__    (       self						:       Dict					, a__						:       str					, a__						:       Tuple=False					, **a__						:       Dict     ):
      __magic_name__		  =							kwargs.pop('''add_prefix_space'''					, self.add_prefix_space     )
      if (is_split_into_words or add_prefix_space) and (len(_lowercase     ) > 0 and not text[0].isspace()):
           __magic_name__		  =							''' ''' + text
      return (text, kwargs)



 def 					snake_case__    (       self						:       Optional[int]					, a__						:       Optional[int]					, a__						:       List[str] = None					, a__						:       str = PaddingStrategy.DO_NOT_PAD					, a__						:       List[Any] = None					, a__						:       List[str] = None					, ):
      __magic_name__		  =							super()._pad(
          encoded_inputs=_lowercase					, max_length=_lowercase					, padding_strategy=_lowercase					, pad_to_multiple_of=_lowercase					, return_attention_mask=_lowercase					, )

      # Load from model defaults
      if return_attention_mask is None:
           __magic_name__		  =							'''attention_mask''' in self.model_input_names

      if return_attention_mask and "global_attention_mask" in encoded_inputs:
           __magic_name__		  =							encoded_inputs[self.model_input_names[0]]
           # `global_attention_mask` need to have the same length as other (sequential) inputs.
           __magic_name__		  =							len(encoded_inputs['''global_attention_mask''']     ) != len(_lowercase     )

           if needs_to_be_padded:
                __magic_name__		  =							len(_lowercase     ) - len(encoded_inputs['''global_attention_mask''']     )

                if self.padding_side == "right":
                     # Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
                     __magic_name__		  =							(
                         encoded_inputs['''global_attention_mask'''] + [-1] * difference
                     )
                elif self.padding_side == "left":
                     __magic_name__		  =							[-1] * difference + encoded_inputs[
                         '''global_attention_mask'''
                     ]
                else:
                     raise ValueError('''Invalid padding strategy:''' + str(self.padding_side     )     )

      return encoded_inputs









'''simple docstring'''

def 							_UpperCamelCase				(   lowerCAmelCase__:					int		,lowerCAmelCase__:					bool = False   )      -> bool:
							if n == 2:
														return True
							if not n % 2 or n < 2:
														return False
							if n > 5 and n % 10 not in (1, 3, 7, 9):  # can quickly check last digit
														return False
							if n > 3_3170_4406_4679_8873_8596_1981 and not allow_probable:
														raise ValueError(
														    'Warning: upper bound of deterministic test is exceeded. '
														    'Pass allow_probable=True to allow probabilistic test. '
														    'A return value of True indicates a probable prime.'   )
							# array bounds provided by analysis
							SCREAMING_SNAKE_CASE_				=				[
							    2047,
							    137_3653,
							    2532_6001,
							    32_1503_1751,
							    2_1523_0289_8747,
							    3_4747_4966_0383,
							    341_5500_7172_8321,
							    1,
							    382_5123_0565_4641_3051,
							    1,
							    1,
							    3186_6585_7834_0311_5116_7461,
							    3_3170_4406_4679_8873_8596_1981,
							]

							SCREAMING_SNAKE_CASE_				=				[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41]
							for idx, _p in enumerate(lowerCAmelCase__		,1   ):
														if n < _p:
																					# then we have our last prime to check
																					SCREAMING_SNAKE_CASE_				=				primes[:idx]
																					break
							SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_				=				n - 1, 0
							# break up n -1 into a power of 2 (s) and
							# remaining odd component
							# essentially, solve for d * 2 ** s == n - 1
							while d % 2 == 0:
														d //= 2
														s += 1
							for prime in plist:
														SCREAMING_SNAKE_CASE_				=				False
														for r in range(lowerCAmelCase__   ):
																					SCREAMING_SNAKE_CASE_				=				pow(lowerCAmelCase__		,d * 2**r		,lowerCAmelCase__   )
																					# see article for analysis explanation for m
																					if (r == 0 and m == 1) or ((m + 1) % n == 0):
																												SCREAMING_SNAKE_CASE_				=				True
																												# this loop will not determine compositeness
																												break
														if pr:
																					continue
														# if pr is False, then the above loop never evaluated to true,
														# and the n MUST be composite
														return False
							return True




def 							_UpperCamelCase				(   )      -> None:
							assert not miller_rabin(561   )
							assert miller_rabin(563   )
							# 2047

							assert not miller_rabin(83_8201   )
							assert miller_rabin(83_8207   )
							# 1_373_653

							assert not miller_rabin(1731_6001   )
							assert miller_rabin(1731_6017   )
							# 25_326_001

							assert not miller_rabin(30_7838_6641   )
							assert miller_rabin(30_7838_6653   )
							# 3_215_031_751

							assert not miller_rabin(1_7130_4557_4801   )
							assert miller_rabin(1_7130_4557_4819   )
							# 2_152_302_898_747

							assert not miller_rabin(2_7797_9972_8307   )
							assert miller_rabin(2_7797_9972_8327   )
							# 3_474_749_660_383

							assert not miller_rabin(113_8500_2390_9441   )
							assert miller_rabin(113_8500_2390_9527   )
							# 341_550_071_728_321

							assert not miller_rabin(127_5041_0188_4880_4351   )
							assert miller_rabin(127_5041_0188_4880_4391   )
							# 3_825_123_056_546_413_051

							assert not miller_rabin(796_6646_4458_5077_8779_1867   )
							assert miller_rabin(796_6646_4458_5077_8779_1951   )
							# 318_665_857_834_031_151_167_461

							assert not miller_rabin(5528_4067_7446_6478_9766_0333   )
							assert miller_rabin(5528_4067_7446_6478_9766_0359   )
							# 3_317_044_064_679_887_385_961_981
							# upper limit for probabilistic test


if __name__ == "__main__":
							test_miller_rabin()





