




"""simple docstring"""



import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
   import jieba

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


SCREAMING_SNAKE_CASE__:Tuple			=	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__:List[Any]			=	{"""vocab_file""": """vocab.txt"""}

SCREAMING_SNAKE_CASE__:Optional[int]			=	{
    """vocab_file""": {
        """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt""",
    },
}

SCREAMING_SNAKE_CASE__:Tuple			=	{
    """openbmb/cpm-ant-10b""": 1024,
}



def 					_lowerCamelCase(					a							):
       __a     				=  collections.OrderedDict()
       with open(a ,  "r" ,  encoding="utf-8"							) as reader:
              __a     				=  reader.readlines()
       for index, token in enumerate(a							):
              __a     				=  token.rstrip("\n"							)
              __a     				=  index
       return vocab






class 				snake_case__     (   snake_case_   ):


 def __init__(				self  ,						lowerCamelCase  ,						lowerCamelCase="<unk>"  ,						lowerCamelCase=200		):
        __a     				=  vocab
        __a     				=  unk_token
        __a     				=  max_input_chars_per_word






 def 		a__ (				self  ,						lowerCamelCase		):
        __a     				=  list(lowerCamelCase		)
        if len(lowerCamelCase		) > self.max_input_chars_per_word:
               return [self.unk_token]

        __a     				=  0
        __a     				=  []
        while start < len(lowerCamelCase		):
               __a     				=  len(lowerCamelCase		)
               __a     				=  None
               while start < end:
                      __a     				=  "".join(chars[start:end]		)
                      if substr in self.vocab:
                             __a     				=  substr
                             break
                      end -= 1
               if cur_substr is None:
                      sub_tokens.append(self.unk_token		)
                      start += 1
               else:
                      sub_tokens.append(lowerCamelCase		)
                      __a     				=  end

        return sub_tokens






class 				snake_case__     (   snake_case_   ):
 _snake_case   :			Optional[int]           =		VOCAB_FILES_NAMES
 _snake_case   :			Optional[int]           =		PRETRAINED_VOCAB_FILES_MAP
 _snake_case   :			Optional[Any]           =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _snake_case   :			int           =		["""input_ids""", """attention_mask"""]
 _snake_case   :			int           =		False


 def __init__(				self  ,						lowerCamelCase  ,						lowerCamelCase="<d>"  ,						lowerCamelCase="</d>"  ,						lowerCamelCase="<s>"  ,						lowerCamelCase="</s>"  ,						lowerCamelCase="<pad>"  ,						lowerCamelCase="<unk>"  ,						lowerCamelCase="</n>"  ,						lowerCamelCase="</_>"  ,						lowerCamelCase="left"  ,						**lowerCamelCase  ,						):
        requires_backends(self  ,						["jieba"]		)
        super().__init__(
            bod_token=lowerCamelCase  ,						eod_token=lowerCamelCase  ,						bos_token=lowerCamelCase  ,						eos_token=lowerCamelCase  ,						pad_token=lowerCamelCase  ,						unk_token=lowerCamelCase  ,						line_token=lowerCamelCase  ,						space_token=lowerCamelCase  ,						padding_side=lowerCamelCase  ,						**lowerCamelCase  ,						)
        __a     				=  bod_token
        __a     				=  eod_token
        __a     				=  load_vocab(lowerCamelCase		)
        __a     				=  self.encoder[space_token]
        __a     				=  self.encoder[line_token]

        del self.encoder[space_token]
        del self.encoder[line_token]

        __a     				=  collections.OrderedDict(sorted(self.encoder.items()  ,						key=lambda lowerCamelCase		: x[1]		)		)
        __a     				=  {v: k for k, v in self.encoder.items()}

        __a     				=  WordpieceTokenizer(vocab=self.encoder  ,						unk_token=self.unk_token		)


 @property
 def 		a__ (				self		):
        return self.encoder[self.bod_token]


 @property
 def 		a__ (				self		):
        return self.encoder[self.eod_token]


 @property
 def 		a__ (				self		):
        return self.encoder["\n"]


 @property
 def 		a__ (				self		):
        return len(self.encoder		)


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


 def 		a__ (				self  ,						lowerCamelCase		):
        __a     				=  []
        for x in jieba.cut(lowerCamelCase  ,						cut_all=lowerCamelCase		):
               output_tokens.extend(self.wordpiece_tokenizer.tokenize(lowerCamelCase		)		)
        return output_tokens


 def 		a__ (				self  ,						lowerCamelCase  ,						**lowerCamelCase		):
        __a     				=  [i for i in token_ids if i >= 0]
        __a     				=  [
            x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
        ]
        return super()._decode(lowerCamelCase  ,						**lowerCamelCase		)


 def 		a__ (				self  ,						lowerCamelCase		):
        return token in self.encoder


 def 		a__ (				self  ,						lowerCamelCase		):
        return "".join(lowerCamelCase		)


 def 		a__ (				self  ,						lowerCamelCase		):
        return self.encoder.get(lowerCamelCase  ,						self.encoder.get(self.unk_token		)		)


 def 		a__ (				self  ,						lowerCamelCase		):
        return self.decoder.get(lowerCamelCase  ,						self.unk_token		)


 def 		a__ (				self  ,						lowerCamelCase  ,						lowerCamelCase = None		):
        if os.path.isdir(lowerCamelCase		):
               __a     				=  os.path.join(
                   lowerCamelCase  ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)
        else:
               __a     				=  (filename_prefix + "-" if filename_prefix else "") + save_directory
        __a     				=  0
        if " " in self.encoder:
               __a     				=  self.encoder[" "]
               del self.encoder[" "]
        if "\n" in self.encoder:
               __a     				=  self.encoder["\n"]
               del self.encoder["\n"]
        __a     				=  collections.OrderedDict(sorted(self.encoder.items()  ,						key=lambda lowerCamelCase		: x[1]		)		)
        with open(lowerCamelCase  ,						"w"  ,						encoding="utf-8"		) as writer:
               for token, token_index in self.encoder.items():
                      if index != token_index:
                             logger.warning(
                                 F"Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."
                                 " Please check that the vocabulary is not corrupted!"		)
                             __a     				=  token_index
                      writer.write(token + "\n"		)
                      index += 1
        return (vocab_file,)


 def 		a__ (				self  ,						lowerCamelCase  ,						lowerCamelCase = None		):
        if token_ids_a is None:
               return [self.bos_token_id] + token_ids_a
        return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a






 def 		a__ (				self  ,						lowerCamelCase  ,						lowerCamelCase = None  ,						lowerCamelCase = False		):

        if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=lowerCamelCase  ,						token_ids_a=lowerCamelCase  ,						already_has_special_tokens=lowerCamelCase		)

        if token_ids_a is not None:
               return [1] + ([0] * len(lowerCamelCase		)) + [1] + ([0] * len(lowerCamelCase		))
        return [1] + ([0] * len(lowerCamelCase		))

"""simple docstring"""



import math



def 					_lowerCamelCase(					a							):
       __a     				=  []
       __a     				=  2
       __a     				=  int(math.sqrt(a							)							)  # Size of every segment
       __a     				=  [True] * (end + 1)
       __a     				=  []

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

       __a     				=  end + 1
       __a     				=  min(2 * end ,  a							)

       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(a ,  high + 1 ,  a							):
                            __a     				=  False

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

              __a     				=  high + 1
              __a     				=  min(high + end ,  a							)

       return prime




print(sieve(10**6))
