




from collections import OrderedDict
from typing import Mapping

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


__A						:							int							=  logging.get_logger(__name__)

__A						:							Union[str, Any]							=  {
    """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/config.json""",
    """distilbert-base-uncased-distilled-squad""": (
        """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"""
    ),
    """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/config.json""",
    """distilbert-base-cased-distilled-squad""": (
        """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"""
    ),
    """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json""",
    """distilbert-base-multilingual-cased""": (
        """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"""
    ),
    """distilbert-base-uncased-finetuned-sst-2-english""": (
        """https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"""
    ),
}




class 			UpperCAmelCase_      (   A       ):




							'''simple docstring'''



							a__						  =     '''distilbert'''
							a__						  =     {
							    '''hidden_size''': '''dim''',
							    '''num_attention_heads''': '''n_heads''',
							    '''num_hidden_layers''': '''n_layers''',
							}





							def __init__(					self       :	Union[str, Any]       ,     a       :	Dict=30_522       ,     a       :	List[str]=512       ,     a       :	List[Any]=False       ,     a       :	List[Any]=6       ,     a       :	str=12       ,     a       :	Optional[int]=768       ,     a       :	Optional[Any]=4 * 768       ,     a       :	Tuple=0.1       ,     a       :	str=0.1       ,     a       :	Any="gelu"       ,     a       :	Optional[int]=0.02       ,     a       :	Union[str, Any]=0.1       ,     a       :	List[str]=0.2       ,     a       :	Optional[int]=0       ,     **a       :	Optional[int]       ,     )			->					Any:
										SCREAMING_SNAKE_CASE           =					vocab_size
										SCREAMING_SNAKE_CASE           =					max_position_embeddings
										SCREAMING_SNAKE_CASE           =					sinusoidal_pos_embds
										SCREAMING_SNAKE_CASE           =					n_layers
										SCREAMING_SNAKE_CASE           =					n_heads
										SCREAMING_SNAKE_CASE           =					dim
										SCREAMING_SNAKE_CASE           =					hidden_dim
										SCREAMING_SNAKE_CASE           =					dropout
										SCREAMING_SNAKE_CASE           =					attention_dropout
										SCREAMING_SNAKE_CASE           =					activation
										SCREAMING_SNAKE_CASE           =					initializer_range
										SCREAMING_SNAKE_CASE           =					qa_dropout
										SCREAMING_SNAKE_CASE           =					seq_classif_dropout
										super().__init__(**a       ,     pad_token_id=a			)





class 			UpperCAmelCase_      (   A       ):




							'''simple docstring'''



							@property
							def    _UpperCAmelCase     (					self       :	Any			)			->					Mapping[str, Mapping[int, str]]:
										if self.task == "multiple-choice":
													SCREAMING_SNAKE_CASE           =					{0: """batch""", 1: """choice""", 2: """sequence"""}
										else:
													SCREAMING_SNAKE_CASE           =					{0: """batch""", 1: """sequence"""}
										return OrderedDict(
										    [
										        ("""input_ids""", dynamic_axis),
										        ("""attention_mask""", dynamic_axis),
										    ]			)












from __future__ import annotations

import math
def 					lowerCamelCase_    (    SCREAMING_SNAKE_CASE   ):
			'''simple docstring'''

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

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

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

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

						start += 1

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

			return prime


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






