




'''simple docstring'''


from __future__ import annotations

import math
def 						snake_case_       (UpperCamelCase			:    int ):





							'''simple docstring'''


							if num <= 0:
														_a      	=							f'{num}: Invalid input, please enter a positive integer.'
														raise ValueError(UpperCamelCase )

							_a      	=							[True] * (num + 1)
							_a      	=							[]
							_a      	=							2
							_a      	=							int(math.sqrt(UpperCamelCase ) )

							while start <= end:
														# If start is a prime
														if sieve[start] is True:
																					prime.append(UpperCamelCase )

																					# Set multiples of start be False
																					for i in range(start * start					,		num + 1					,		UpperCamelCase ):
																												if sieve[i] is True:
																																			_a      	=							False

														start += 1

							for j in range(end + 1					,		num + 1 ):
														if sieve[j] is True:
																					prime.append(UpperCamelCase )

							return prime


if __name__ == "__main__":
				print(prime_sieve(int(input('Enter a positive integer: ').strip())))







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase      :						str							=  logging.get_logger(__name__)

_lowerCamelCase      :						List[str]							=  {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}


class 							UpperCamelCase_       (					UpperCAmelCase__	):

    '''simple docstring'''






    UpperCAmelCase__				    = '''openai-gpt'''
    UpperCAmelCase__				    = {
        '''max_position_embeddings''': '''n_positions''',
        '''hidden_size''': '''n_embd''',
        '''num_attention_heads''': '''n_head''',
        '''num_hidden_layers''': '''n_layer''',
    }


    def __init__(     self :      Union[str, Any]   ,					UpperCAmelCase__ :      Dict=40_478   ,					UpperCAmelCase__ :      str=512   ,					UpperCAmelCase__ :      Union[str, Any]=768   ,					UpperCAmelCase__ :      Optional[Any]=12   ,					UpperCAmelCase__ :      Any=12   ,					UpperCAmelCase__ :      Optional[Any]="gelu"   ,					UpperCAmelCase__ :      Any=0.1   ,					UpperCAmelCase__ :      List[str]=0.1   ,					UpperCAmelCase__ :      Tuple=0.1   ,					UpperCAmelCase__ :      List[str]=1e-5   ,					UpperCAmelCase__ :      int=0.02   ,					UpperCAmelCase__ :      Any="cls_index"   ,					UpperCAmelCase__ :      Optional[Any]=True   ,					UpperCAmelCase__ :      List[Any]=None   ,					UpperCAmelCase__ :      List[Any]=True   ,					UpperCAmelCase__ :      Optional[Any]=0.1   ,					**UpperCAmelCase__ :      Dict   ,					)		->Any:





           '''simple docstring'''

           A__ 					=       vocab_size
           A__ 					=       n_positions
           A__ 					=       n_embd
           A__ 					=       n_layer
           A__ 					=       n_head
           A__ 					=       afn
           A__ 					=       resid_pdrop
           A__ 					=       embd_pdrop
           A__ 					=       attn_pdrop
           A__ 					=       layer_norm_epsilon
           A__ 					=       initializer_range
           A__ 					=       summary_type
           A__ 					=       summary_use_proj
           A__ 					=       summary_activation
           A__ 					=       summary_first_dropout
           A__ 					=       summary_proj_to_labels
           super().__init__(**UpperCAmelCase__)


