


'''simple docstring'''






import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__UpperCAmelCase       							=				logging.get_logger(__name__)

__UpperCAmelCase       							=				{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

__UpperCAmelCase       							=				{
    '''vocab_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'''},
    '''merges_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'''},
}

__UpperCAmelCase       							=				{
    '''ctrl''': 256,
}

__UpperCAmelCase       							=				{
    '''Pregnancy''': 168_629,
    '''Christianity''': 7_675,
    '''Explain''': 106_423,
    '''Fitness''': 63_440,
    '''Saving''': 63_163,
    '''Ask''': 27_171,
    '''Ass''': 95_985,
    '''Joke''': 163_509,
    '''Questions''': 45_622,
    '''Thoughts''': 49_605,
    '''Retail''': 52_342,
    '''Feminism''': 164_338,
    '''Writing''': 11_992,
    '''Atheism''': 192_263,
    '''Netflix''': 48_616,
    '''Computing''': 39_639,
    '''Opinion''': 43_213,
    '''Alone''': 44_967,
    '''Funny''': 58_917,
    '''Gaming''': 40_358,
    '''Human''': 4_088,
    '''India''': 1_331,
    '''Joker''': 77_138,
    '''Diet''': 36_206,
    '''Legal''': 11_859,
    '''Norman''': 4_939,
    '''Tip''': 72_689,
    '''Weight''': 52_343,
    '''Movies''': 46_273,
    '''Running''': 23_425,
    '''Science''': 2_090,
    '''Horror''': 37_793,
    '''Confession''': 60_572,
    '''Finance''': 12_250,
    '''Politics''': 16_360,
    '''Scary''': 191_985,
    '''Support''': 12_654,
    '''Technologies''': 32_516,
    '''Teenage''': 66_160,
    '''Event''': 32_769,
    '''Learned''': 67_460,
    '''Notion''': 182_770,
    '''Wikipedia''': 37_583,
    '''Books''': 6_665,
    '''Extract''': 76_050,
    '''Confessions''': 102_701,
    '''Conspiracy''': 75_932,
    '''Links''': 63_674,
    '''Narcissus''': 150_425,
    '''Relationship''': 54_766,
    '''Relationships''': 134_796,
    '''Reviews''': 41_671,
    '''News''': 4_256,
    '''Translation''': 26_820,
    '''multilingual''': 128_406,
}


def    _snake_case  (	A			)		->       Optional[int]:
							lowerCAmelCase__			  =      set()
							lowerCAmelCase__			  =      word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)			)
														lowerCAmelCase__			  =      char

							lowerCAmelCase__			  =      set(A			)
							return pairs






class 						a__							(				a__    ):





							'''simple docstring'''






							lowercase__     :  List[Any]      		= VOCAB_FILES_NAMES
							lowercase__     :  Dict      		= PRETRAINED_VOCAB_FILES_MAP
							lowercase__     :  List[Any]      		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__     :  Dict      		= CONTROL_CODES







							def __init__(						self   ,       lowerCamelCase_   ,       lowerCamelCase_   ,       lowerCamelCase_="<unk>"   ,       **lowerCamelCase_  )			->				List[Any]:
														super().__init__(unk_token=lowerCamelCase_   ,       **lowerCamelCase_  )

														with open(lowerCamelCase_   ,       encoding='''utf-8'''  ) as vocab_handle:
																					lowerCAmelCase__			  =      json.load(lowerCamelCase_  )
														lowerCAmelCase__			  =      {v: k for k, v in self.encoder.items()}
														with open(lowerCamelCase_   ,       encoding='''utf-8'''  ) as merges_handle:
																					lowerCAmelCase__			  =      merges_handle.read().split('''\n'''  )[1:-1]
														lowerCAmelCase__			  =      [tuple(merge.split()  ) for merge in merges]
														lowerCAmelCase__			  =      dict(zip(lowerCamelCase_   ,       range(len(lowerCamelCase_  )  )  )  )
														lowerCAmelCase__			  =      {}







							@property
							def     __SCREAMING_SNAKE_CASE				(						self  )			->				List[str]:
														return len(self.encoder  )







							def     __SCREAMING_SNAKE_CASE				(						self  )			->				int:
														return dict(self.encoder   ,       **self.added_tokens_encoder  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				List[Any]:
														if token in self.cache:
																					return self.cache[token]
														lowerCAmelCase__			  =      tuple(lowerCamelCase_  )
														lowerCAmelCase__			  =      tuple(list(word[:-1]  ) + [word[-1] + '''</w>''']  )
														lowerCAmelCase__			  =      get_pairs(lowerCamelCase_  )

														if not pairs:
																					return token

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

																												if word[i] == first and i < len(lowerCamelCase_  ) - 1 and word[i + 1] == second:
																																			new_word.append(first + second  )
																																			i += 2
																												else:
																																			new_word.append(word[i]  )
																																			i += 1
																					lowerCAmelCase__			  =      tuple(lowerCamelCase_  )
																					lowerCAmelCase__			  =      new_word
																					if len(lowerCamelCase_  ) == 1:
																												break
																					else:
																												lowerCAmelCase__			  =      get_pairs(lowerCamelCase_  )
														lowerCAmelCase__			  =      '''@@ '''.join(lowerCamelCase_  )
														lowerCAmelCase__			  =      word[:-4]
														lowerCAmelCase__			  =      word
														return word







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				int:
														lowerCAmelCase__			  =      []

														lowerCAmelCase__			  =      re.findall(r'''\S+\n?'''   ,       lowerCamelCase_  )

														for token in words:
																					split_tokens.extend(list(self.bpe(lowerCamelCase_  ).split(''' '''  )  )  )
														return split_tokens







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				int:
														return self.encoder.get(lowerCamelCase_   ,       self.encoder.get(self.unk_token  )  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				Union[str, Any]:
														return self.decoder.get(lowerCamelCase_   ,       self.unk_token  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				Tuple:
														lowerCAmelCase__			  =      ''' '''.join(lowerCamelCase_  ).replace('''@@ '''   ,       ''''''  ).strip()
														return out_string







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_   ,       lowerCamelCase_ = None  )			->				Tuple[str]:
														if not os.path.isdir(lowerCamelCase_  ):
																					logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
																					return
														lowerCAmelCase__			  =      os.path.join(
														    lowerCamelCase_   ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']  )
														lowerCAmelCase__			  =      os.path.join(
														    lowerCamelCase_   ,       (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']  )

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

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

														return vocab_file, merge_file

							# def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
							#     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
							#     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
							#     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
							#     return ''.join(tokens_generated_so_far)
'''simple docstring'''






import math





def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			int				):
     _A    		=  []
     _A    		=  2
     _A    		=  int(math.sqrt(__snake_case				)				)  # Size of every segment
     _A    		=  [True] * (end + 1)
     _A    		=  []

     while start <= end:
          if temp[start] is True:
               in_prime.append(__snake_case				)
               for i in range(start * start   ,		end + 1   ,		__snake_case				):
                    _A    		=  False
          start += 1
     prime += in_prime

     _A    		=  end + 1
     _A    		=  min(2 * end   ,		__snake_case				)

     while low <= n:
          _A    		=  [True] * (high - low + 1)
          for each in in_prime:
               _A    		=  math.floor(low / each				) * each
               if t < low:
                    t += each

               for j in range(__snake_case   ,		high + 1   ,		__snake_case				):
                    _A    		=  False

          for j in range(len(__snake_case				)				):
               if temp[j] is True:
                    prime.append(j + low				)

          _A    		=  high + 1
          _A    		=  min(high + end   ,		__snake_case				)

     return prime
print(sieve(10**6))



