



import unittest

from knapsack import greedy_knapsack as kp

class     _A       (	unittest.TestCase    ):



       def 		_lowerCamelCase			(		self							:     List[Any]):


           '''simple docstring'''

           __a						       =				[10, 20, 30, 40, 50, 60]
           __a						       =				[2, 4, 6, 8, 10, 12]
           __a						       =				100
           self.assertEqual(kp.calc_profit(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE)     ,		210)



       def 		_lowerCamelCase			(		self							:     Dict):


           '''simple docstring'''

           self.assertRaisesRegex(__SCREAMING_SNAKE_CASE     ,		'''max_weight must greater than zero.''')



       def 		_lowerCamelCase			(		self							:     Any):


           '''simple docstring'''

           self.assertRaisesRegex(__SCREAMING_SNAKE_CASE     ,		'''Weight can not be negative.''')



       def 		_lowerCamelCase			(		self							:     Dict):


           '''simple docstring'''

           self.assertRaisesRegex(__SCREAMING_SNAKE_CASE     ,		'''Profit can not be negative.''')



       def 		_lowerCamelCase			(		self							:     List[str]):


           '''simple docstring'''

           self.assertRaisesRegex(__SCREAMING_SNAKE_CASE     ,		'''max_weight must greater than zero.''')





       def 		_lowerCamelCase			(		self							:     Any):


           '''simple docstring'''

           self.assertRaisesRegex(
               __SCREAMING_SNAKE_CASE     ,		'''The length of profit and weight must be same.''')


if __name__ == "__main__":
 unittest.main()










import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible

class     _A       (	unittest.TestCase    ):



       def 		_lowerCamelCase			(		self							:     List[Any]):


           '''simple docstring'''

           __a						       =				[
               '''safety_checker/pytorch_model.bin''',
               '''safety_checker/model.safetensors''',
               '''vae/diffusion_pytorch_model.bin''',
               '''vae/diffusion_pytorch_model.safetensors''',
               '''text_encoder/pytorch_model.bin''',
               '''text_encoder/model.safetensors''',
               '''unet/diffusion_pytorch_model.bin''',
               '''unet/diffusion_pytorch_model.safetensors''',
           ]
           self.assertTrue(is_safetensors_compatible(__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     Optional[Any]):


           '''simple docstring'''

           __a						       =				[
               '''unet/diffusion_pytorch_model.bin''',
               '''unet/diffusion_pytorch_model.safetensors''',
           ]
           self.assertTrue(is_safetensors_compatible(__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     Optional[Any]):


           '''simple docstring'''

           __a						       =				[
               '''safety_checker/pytorch_model.bin''',
               '''safety_checker/model.safetensors''',
               '''vae/diffusion_pytorch_model.bin''',
               '''vae/diffusion_pytorch_model.safetensors''',
               '''text_encoder/pytorch_model.bin''',
               '''text_encoder/model.safetensors''',
               '''unet/diffusion_pytorch_model.bin''',
               # Removed: 'unet/diffusion_pytorch_model.safetensors',
           ]
           self.assertFalse(is_safetensors_compatible(__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     Dict):


           '''simple docstring'''

           __a						       =				[
               '''text_encoder/pytorch_model.bin''',
               '''text_encoder/model.safetensors''',
           ]
           self.assertTrue(is_safetensors_compatible(__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     Union[str, Any]):


           '''simple docstring'''

           __a						       =				[
               '''safety_checker/pytorch_model.bin''',
               '''safety_checker/model.safetensors''',
               '''vae/diffusion_pytorch_model.bin''',
               '''vae/diffusion_pytorch_model.safetensors''',
               '''text_encoder/pytorch_model.bin''',
               # Removed: 'text_encoder/model.safetensors',
               '''unet/diffusion_pytorch_model.bin''',
               '''unet/diffusion_pytorch_model.safetensors''',
           ]
           self.assertFalse(is_safetensors_compatible(__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     Tuple):


           '''simple docstring'''

           __a						       =				[
               '''safety_checker/pytorch_model.fp16.bin''',
               '''safety_checker/model.fp16.safetensors''',
               '''vae/diffusion_pytorch_model.fp16.bin''',
               '''vae/diffusion_pytorch_model.fp16.safetensors''',
               '''text_encoder/pytorch_model.fp16.bin''',
               '''text_encoder/model.fp16.safetensors''',
               '''unet/diffusion_pytorch_model.fp16.bin''',
               '''unet/diffusion_pytorch_model.fp16.safetensors''',
           ]
           __a						       =				'''fp16'''
           self.assertTrue(is_safetensors_compatible(__SCREAMING_SNAKE_CASE     ,		variant=__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     Dict):


           '''simple docstring'''

           __a						       =				[
               '''unet/diffusion_pytorch_model.fp16.bin''',
               '''unet/diffusion_pytorch_model.fp16.safetensors''',
           ]
           __a						       =				'''fp16'''
           self.assertTrue(is_safetensors_compatible(__SCREAMING_SNAKE_CASE     ,		variant=__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     Optional[Any]):


           '''simple docstring'''

           __a						       =				[
               '''unet/diffusion_pytorch_model.bin''',
               '''unet/diffusion_pytorch_model.safetensors''',
           ]
           __a						       =				'''fp16'''
           self.assertTrue(is_safetensors_compatible(__SCREAMING_SNAKE_CASE     ,		variant=__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     Union[str, Any]):


           '''simple docstring'''

           __a						       =				[
               '''safety_checker/pytorch_model.fp16.bin''',
               '''safety_checker/model.fp16.safetensors''',
               '''vae/diffusion_pytorch_model.fp16.bin''',
               '''vae/diffusion_pytorch_model.fp16.safetensors''',
               '''text_encoder/pytorch_model.fp16.bin''',
               '''text_encoder/model.fp16.safetensors''',
               '''unet/diffusion_pytorch_model.fp16.bin''',
               # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
           ]
           __a						       =				'''fp16'''
           self.assertFalse(is_safetensors_compatible(__SCREAMING_SNAKE_CASE     ,		variant=__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     Dict):


           '''simple docstring'''

           __a						       =				[
               '''text_encoder/pytorch_model.fp16.bin''',
               '''text_encoder/model.fp16.safetensors''',
           ]
           __a						       =				'''fp16'''
           self.assertTrue(is_safetensors_compatible(__SCREAMING_SNAKE_CASE     ,		variant=__SCREAMING_SNAKE_CASE))



       def 		_lowerCamelCase			(		self							:     List[str]):


           '''simple docstring'''

           __a						       =				[
               '''text_encoder/pytorch_model.bin''',
               '''text_encoder/model.safetensors''',
           ]
           __a						       =				'''fp16'''
           self.assertTrue(is_safetensors_compatible(__SCREAMING_SNAKE_CASE     ,		variant=__SCREAMING_SNAKE_CASE))





       def 		_lowerCamelCase			(		self							:     List[str]):


           '''simple docstring'''

           __a						       =				[
               '''safety_checker/pytorch_model.fp16.bin''',
               '''safety_checker/model.fp16.safetensors''',
               '''vae/diffusion_pytorch_model.fp16.bin''',
               '''vae/diffusion_pytorch_model.fp16.safetensors''',
               '''text_encoder/pytorch_model.fp16.bin''',
               # 'text_encoder/model.fp16.safetensors',
               '''unet/diffusion_pytorch_model.fp16.bin''',
               '''unet/diffusion_pytorch_model.fp16.safetensors''',
           ]
           __a						       =				'''fp16'''
           self.assertFalse(is_safetensors_compatible(__SCREAMING_SNAKE_CASE     ,		variant=__SCREAMING_SNAKE_CASE))





