


'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase				:  List[Any]    		=      logging.get_logger(__name__)

lowerCamelCase				:  int    		=      {
    "YituTech/conv-bert-base": "https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json",
    "YituTech/conv-bert-medium-small": (
        "https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json"
    ),
    "YituTech/conv-bert-small": "https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json",
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}
class     __lowerCAmelCase		(lowercase_	):





      '''simple docstring'''






      lowerCAmelCase__   :	Dict       =				"""convbert"""



      def __init__(self       :       List[Any]  ,		UpperCamelCase       :       Union[str, Any]=30522  ,		UpperCamelCase       :       List[Any]=768  ,		UpperCamelCase       :       str=12  ,		UpperCamelCase       :       Optional[int]=12  ,		UpperCamelCase       :       List[Any]=3072  ,		UpperCamelCase       :       str="gelu"  ,		UpperCamelCase       :       List[str]=0.1  ,		UpperCamelCase       :       Optional[int]=0.1  ,		UpperCamelCase       :       List[Any]=512  ,		UpperCamelCase       :       int=2  ,		UpperCamelCase       :       Any=0.02  ,		UpperCamelCase       :       Optional[Any]=1E-12  ,		UpperCamelCase       :       str=1  ,		UpperCamelCase       :       Dict=0  ,		UpperCamelCase       :       Any=2  ,		UpperCamelCase       :       str=768  ,		UpperCamelCase       :       Dict=2  ,		UpperCamelCase       :       Optional[int]=9  ,		UpperCamelCase       :       Any=1  ,		UpperCamelCase       :       List[str]=None  ,		**UpperCamelCase       :       str  ,		):

             '''simple docstring'''







             super().__init__(
                 pad_token_id=snake_case__  ,		bos_token_id=snake_case__  ,		eos_token_id=snake_case__  ,		**snake_case__  ,		)

             lowercase__      =					vocab_size
             lowercase__      =					hidden_size
             lowercase__      =					num_hidden_layers
             lowercase__      =					num_attention_heads
             lowercase__      =					intermediate_size
             lowercase__      =					hidden_act
             lowercase__      =					hidden_dropout_prob
             lowercase__      =					attention_probs_dropout_prob
             lowercase__      =					max_position_embeddings
             lowercase__      =					type_vocab_size
             lowercase__      =					initializer_range
             lowercase__      =					layer_norm_eps
             lowercase__      =					embedding_size
             lowercase__      =					head_ratio
             lowercase__      =					conv_kernel_size
             lowercase__      =					num_groups
             lowercase__      =					classifier_dropout






class     __lowerCAmelCase		(lowercase_	):





      '''simple docstring'''






      @property
      def  UpperCamelCase__						(self       :       str					):

             '''simple docstring'''







             if self.task == "multiple-choice":
                    lowercase__      =					{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
             else:
                    lowercase__      =					{0: '''batch''', 1: '''sequence'''}
             return OrderedDict(
                 [
                     ('''input_ids''', dynamic_axis),
                     ('''attention_mask''', dynamic_axis),
                     ('''token_type_ids''', dynamic_axis),
                 ]					)







import math


def 							__lowerCAmelCase     (							_UpperCamelCase		:	int						)		->				list[int]:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE		    =      []
 SCREAMING_SNAKE_CASE		    =      2
 SCREAMING_SNAKE_CASE		    =      int(math.sqrt(_UpperCamelCase						)						)  # Size of every segment
 SCREAMING_SNAKE_CASE		    =      [True] * (end + 1)
 SCREAMING_SNAKE_CASE		    =      []

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

 SCREAMING_SNAKE_CASE		    =      end + 1
 SCREAMING_SNAKE_CASE		    =      min(2 * end		,				_UpperCamelCase						)

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

   for j in range(_UpperCamelCase		,				high + 1		,				_UpperCamelCase						):
    SCREAMING_SNAKE_CASE		    =      False

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

  SCREAMING_SNAKE_CASE		    =      high + 1
  SCREAMING_SNAKE_CASE		    =      min(high + end		,				_UpperCamelCase						)

 return prime




print(sieve(10**6))

