





'''simple docstring'''






import os
import sys
import unittest


A_		:  Dict		 =						os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))

import get_test_info  # noqa: E402
from get_test_info import (  # noqa: E402
    get_model_to_test_mapping,
    get_model_to_tester_mapping,
    get_test_to_tester_mapping,
)


A_		:  Dict		 =						os.path.join("tests", "models", "bert", "test_modeling_bert.py")
A_		:  str		 =						os.path.join("tests", "models", "blip", "test_modeling_blip.py")
class 					__snake_case  (					unittest.TestCase							):






   '''simple docstring'''





   def 		__UpperCamelCase						(							self       ):
    snake_case__     :					Optional[int]    =  get_test_to_tester_mapping(__SCREAMING_SNAKE_CASE       )
    snake_case__     :					List[str]    =  get_test_to_tester_mapping(__SCREAMING_SNAKE_CASE       )

    snake_case__     :					int    =  {"""BertModelTest""": """BertModelTester"""}

    snake_case__     :					List[str]    =  {
        """BlipModelTest""": """BlipModelTester""",
        """BlipTextImageModelTest""": """BlipTextImageModelsModelTester""",
        """BlipTextModelTest""": """BlipTextModelTester""",
        """BlipTextRetrievalModelTest""": """BlipTextRetrievalModelTester""",
        """BlipVQAModelTest""": """BlipVQAModelTester""",
        """BlipVisionModelTest""": """BlipVisionModelTester""",
    }

    self.assertEqual(get_test_info.to_json(__SCREAMING_SNAKE_CASE       )	,		__SCREAMING_SNAKE_CASE       )
    self.assertEqual(get_test_info.to_json(__SCREAMING_SNAKE_CASE       )	,		__SCREAMING_SNAKE_CASE       )

   def 		__UpperCamelCase						(							self       ):
    snake_case__     :					Dict    =  get_model_to_test_mapping(__SCREAMING_SNAKE_CASE       )
    snake_case__     :					Optional[Any]    =  get_model_to_test_mapping(__SCREAMING_SNAKE_CASE       )

    snake_case__     :					Dict    =  {
        """BertForMaskedLM""": ["""BertModelTest"""],
        """BertForMultipleChoice""": ["""BertModelTest"""],
        """BertForNextSentencePrediction""": ["""BertModelTest"""],
        """BertForPreTraining""": ["""BertModelTest"""],
        """BertForQuestionAnswering""": ["""BertModelTest"""],
        """BertForSequenceClassification""": ["""BertModelTest"""],
        """BertForTokenClassification""": ["""BertModelTest"""],
        """BertLMHeadModel""": ["""BertModelTest"""],
        """BertModel""": ["""BertModelTest"""],
    }

    snake_case__     :					Any    =  {
        """BlipForConditionalGeneration""": ["""BlipTextImageModelTest"""],
        """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTest"""],
        """BlipForQuestionAnswering""": ["""BlipVQAModelTest"""],
        """BlipModel""": ["""BlipModelTest"""],
        """BlipTextModel""": ["""BlipTextModelTest"""],
        """BlipVisionModel""": ["""BlipVisionModelTest"""],
    }

    self.assertEqual(get_test_info.to_json(__SCREAMING_SNAKE_CASE       )	,		__SCREAMING_SNAKE_CASE       )
    self.assertEqual(get_test_info.to_json(__SCREAMING_SNAKE_CASE       )	,		__SCREAMING_SNAKE_CASE       )


   def 		__UpperCamelCase						(							self       ):
    snake_case__     :					List[str]    =  get_model_to_tester_mapping(__SCREAMING_SNAKE_CASE       )
    snake_case__     :					Optional[int]    =  get_model_to_tester_mapping(__SCREAMING_SNAKE_CASE       )

    snake_case__     :					Any    =  {
        """BertForMaskedLM""": ["""BertModelTester"""],
        """BertForMultipleChoice""": ["""BertModelTester"""],
        """BertForNextSentencePrediction""": ["""BertModelTester"""],
        """BertForPreTraining""": ["""BertModelTester"""],
        """BertForQuestionAnswering""": ["""BertModelTester"""],
        """BertForSequenceClassification""": ["""BertModelTester"""],
        """BertForTokenClassification""": ["""BertModelTester"""],
        """BertLMHeadModel""": ["""BertModelTester"""],
        """BertModel""": ["""BertModelTester"""],
    }

    snake_case__     :					Optional[Any]    =  {
        """BlipForConditionalGeneration""": ["""BlipTextImageModelsModelTester"""],
        """BlipForImageTextRetrieval""": ["""BlipTextRetrievalModelTester"""],
        """BlipForQuestionAnswering""": ["""BlipVQAModelTester"""],
        """BlipModel""": ["""BlipModelTester"""],
        """BlipTextModel""": ["""BlipTextModelTester"""],
        """BlipVisionModel""": ["""BlipVisionModelTester"""],
    }

    self.assertEqual(get_test_info.to_json(__SCREAMING_SNAKE_CASE       )	,		__SCREAMING_SNAKE_CASE       )
    self.assertEqual(get_test_info.to_json(__SCREAMING_SNAKE_CASE       )	,		__SCREAMING_SNAKE_CASE       )





'''simple docstring'''




from __future__ import annotations

import math






def 							snake_case__				(     _A:   int					)       ->      list[int]:

		'''simple docstring'''


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

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

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

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

				start += 1

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

		return prime


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




