


import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs





class  _a							(    _lowercase):




 def __init__( self						:		int		, _SCREAMING_SNAKE_CASE						:		Optional[Any]		, _SCREAMING_SNAKE_CASE						:		Optional[int]=None		, _SCREAMING_SNAKE_CASE						:		int=True		, _SCREAMING_SNAKE_CASE						:		Optional[int]=None		, **_SCREAMING_SNAKE_CASE						:		Tuple		)->	List[Any]:
   lowerCAmelCase__       :      int   					= parent
   lowerCAmelCase__       :      Optional[int]   					= config_class
   lowerCAmelCase__       :      Tuple   					= has_text_modality
   lowerCAmelCase__       :      Tuple   					= kwargs
   lowerCAmelCase__       :      Dict   					= common_properties




 def 							UpperCAmelCase__( self						:		Any		)->	int:
   lowerCAmelCase__       :      Union[str, Any]   					= self.config_class(**self.inputs_dict		)
   lowerCAmelCase__       :      Any   					= (
       ['''hidden_size''', '''num_attention_heads''', '''num_hidden_layers''']
       if self.common_properties is None
       else self.common_properties
   )

   # Add common fields for text models
   if self.has_text_modality:
     common_properties.extend(['''vocab_size''']		)

   # Test that config has the common properties as getters
   for prop in common_properties:
     self.parent.assertTrue(hasattr(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)		, msg=F'`{prop}` does not exist'		)

   # Test that config has the common properties as setter
   for idx, name in enumerate(_SCREAMING_SNAKE_CASE		):
     try:
       setattr(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)
       self.parent.assertEqual(
           getattr(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)		, _SCREAMING_SNAKE_CASE		, msg=F'`{name} value {idx} expected, but was {getattr(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)}'		)
     except NotImplementedError:
       # Some models might not be able to implement setters for common_properties
       # In that case, a NotImplementedError is raised
       pass

        # Test if config class can be called with Config(prop_name=..)
   for idx, name in enumerate(_SCREAMING_SNAKE_CASE		):
     try:
       lowerCAmelCase__       :      str   					= self.config_class(**{name: idx}		)
       self.parent.assertEqual(
           getattr(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)		, _SCREAMING_SNAKE_CASE		, msg=F'`{name} value {idx} expected, but was {getattr(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)}'		)
     except NotImplementedError:
       # Some models might not be able to implement setters for common_properties
       # In that case, a NotImplementedError is raised
       pass




 def 							UpperCAmelCase__( self						:		List[Any]		)->	Dict:
   lowerCAmelCase__       :      List[str]   					= self.config_class(**self.inputs_dict		)
   lowerCAmelCase__       :      Optional[int]   					= json.loads(config.to_json_string()		)
   for key, value in self.inputs_dict.items():
     self.parent.assertEqual(obj[key]		, _SCREAMING_SNAKE_CASE		)




 def 							UpperCAmelCase__( self						:		List[str]		)->	Union[str, Any]:
   lowerCAmelCase__       :      int   					= self.config_class(**self.inputs_dict		)

   with tempfile.TemporaryDirectory() as tmpdirname:
     lowerCAmelCase__       :      Optional[Any]   					= os.path.join(_SCREAMING_SNAKE_CASE		, '''config.json'''		)
     config_first.to_json_file(_SCREAMING_SNAKE_CASE		)
     lowerCAmelCase__       :      Optional[int]   					= self.config_class.from_json_file(_SCREAMING_SNAKE_CASE		)

   self.parent.assertEqual(config_second.to_dict()		, config_first.to_dict()		)




 def 							UpperCAmelCase__( self						:		List[Any]		)->	List[str]:
   lowerCAmelCase__       :      List[Any]   					= self.config_class(**self.inputs_dict		)

   with tempfile.TemporaryDirectory() as tmpdirname:
     config_first.save_pretrained(_SCREAMING_SNAKE_CASE		)
     lowerCAmelCase__       :      int   					= self.config_class.from_pretrained(_SCREAMING_SNAKE_CASE		)

   self.parent.assertEqual(config_second.to_dict()		, config_first.to_dict()		)




 def 							UpperCAmelCase__( self						:		Any		)->	int:
   lowerCAmelCase__       :      Tuple   					= self.config_class(**self.inputs_dict		)

   lowerCAmelCase__       :      str   					= '''test'''
   with tempfile.TemporaryDirectory() as tmpdirname:
     lowerCAmelCase__       :      Union[str, Any]   					= os.path.join(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)
     config_first.save_pretrained(_SCREAMING_SNAKE_CASE		)
     lowerCAmelCase__       :      str   					= self.config_class.from_pretrained(_SCREAMING_SNAKE_CASE		, subfolder=_SCREAMING_SNAKE_CASE		)

   self.parent.assertEqual(config_second.to_dict()		, config_first.to_dict()		)




 def 							UpperCAmelCase__( self						:		Union[str, Any]		)->	Union[str, Any]:
   lowerCAmelCase__       :      List[str]   					= self.config_class(**self.inputs_dict		, num_labels=5		)
   self.parent.assertEqual(len(config.idalabel		)		, 5		)
   self.parent.assertEqual(len(config.labelaid		)		, 5		)

   lowerCAmelCase__       :      Any   					= 3
   self.parent.assertEqual(len(config.idalabel		)		, 3		)
   self.parent.assertEqual(len(config.labelaid		)		, 3		)




 def 							UpperCAmelCase__( self						:		Optional[Any]		)->	str:
   if self.config_class.is_composition:
     return
   lowerCAmelCase__       :      Dict   					= self.config_class()
   self.parent.assertIsNotNone(_SCREAMING_SNAKE_CASE		)




 def 							UpperCAmelCase__( self						:		Any		)->	Dict:
   lowerCAmelCase__       :      Dict   					= copy.deepcopy(_SCREAMING_SNAKE_CASE		)
   lowerCAmelCase__       :      List[Any]   					= self.config_class(**_SCREAMING_SNAKE_CASE		)
   lowerCAmelCase__       :      List[Any]   					= []
   for key, value in config_common_kwargs.items():
     if key == "torch_dtype":
       if not is_torch_available():
         continue
       else:
         import torch

         if config.torch_dtype != torch.floataa:
           wrong_values.append(('''torch_dtype''', config.torch_dtype, torch.floataa)		)
     elif getattr(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		) != value:
       wrong_values.append((key, getattr(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		), value)		)

   if len(_SCREAMING_SNAKE_CASE		) > 0:
     lowerCAmelCase__       :      Union[str, Any]   					= '''\n'''.join([F'- {v[0]}: got {v[1]} instead of {v[2]}' for v in wrong_values]		)
     raise ValueError(F'The following keys were not properly set in the config:\n{errors}'		)




 def 							UpperCAmelCase__( self						:		Union[str, Any]		)->	Tuple:
   self.create_and_test_config_common_properties()
   self.create_and_test_config_to_json_string()
   self.create_and_test_config_to_json_file()
   self.create_and_test_config_from_and_save_pretrained()
   self.create_and_test_config_from_and_save_pretrained_subfolder()
   self.create_and_test_config_with_num_labels()
   self.check_config_can_be_init_without_params()
   self.check_config_arguments_init()








from math import isqrt






def 					lowerCamelCase_   (	_a	):




		"""simple docstring"""






		lowerCAmelCase__       :      Dict   					= [True] * max_number
		for i in range(2     ,       isqrt(max_number - 1	) + 1	):
				if is_prime[i]:
						for j in range(i**2     ,       _a     ,       _a	):
								lowerCAmelCase__       :      int   					= False

		return [i for i in range(2     ,       _a	) if is_prime[i]]






def 					lowerCamelCase_   (	_a = 10**8	):




		"""simple docstring"""






		lowerCAmelCase__       :      Any   					= calculate_prime_numbers(max_number // 2	)

		lowerCAmelCase__       :      Tuple   					= 0
		lowerCAmelCase__       :      List[Any]   					= 0
		lowerCAmelCase__       :      Optional[int]   					= len(_a	) - 1
		while left <= right:
				while prime_numbers[left] * prime_numbers[right] >= max_number:
						right -= 1
				semiprimes_count += right - left + 1
				left += 1

		return semiprimes_count


if __name__ == "__main__":
		print(f'''{solution() = }''')




