





import unittest

from knapsack import greedy_knapsack as kp
class SCREAMING_SNAKE_CASE_  (   unittest.TestCase   ):






						def UpperCAmelCase_			( self : int		)							->      Tuple:







							"""simple docstring"""


							snake_case_						:     Optional[int]     =		[10, 20, 30, 40, 50, 60]
							snake_case_						:     Tuple     =		[2, 4, 6, 8, 10, 12]
							snake_case_						:     Any     =		100
							self.assertEqual(kp.calc_profit(_A						,				_A						,				_A		)						,				210		)






						def UpperCAmelCase_			( self : List[str]		)							->      str:







							"""simple docstring"""


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






						def UpperCAmelCase_			( self : List[str]		)							->      Tuple:







							"""simple docstring"""


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






						def UpperCAmelCase_			( self : List[str]		)							->      Union[str, Any]:







							"""simple docstring"""


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






						def UpperCAmelCase_			( self : Any		)							->      Union[str, Any]:







							"""simple docstring"""


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






						def UpperCAmelCase_			( self : str		)							->      Any:







							"""simple docstring"""


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


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








_SCREAMING_SNAKE_CASE 		=						{
    """Pillow""": """Pillow""",
    """accelerate""": """accelerate>=0.11.0""",
    """compel""": """compel==0.1.8""",
    """black""": """black~=23.1""",
    """datasets""": """datasets""",
    """filelock""": """filelock""",
    """flax""": """flax>=0.4.1""",
    """hf-doc-builder""": """hf-doc-builder>=0.3.0""",
    """huggingface-hub""": """huggingface-hub>=0.13.2""",
    """requests-mock""": """requests-mock==1.10.0""",
    """importlib_metadata""": """importlib_metadata""",
    """invisible-watermark""": """invisible-watermark""",
    """isort""": """isort>=5.5.4""",
    """jax""": """jax>=0.2.8,!=0.3.2""",
    """jaxlib""": """jaxlib>=0.1.65""",
    """Jinja2""": """Jinja2""",
    """k-diffusion""": """k-diffusion>=0.0.12""",
    """torchsde""": """torchsde""",
    """note_seq""": """note_seq""",
    """librosa""": """librosa""",
    """numpy""": """numpy""",
    """omegaconf""": """omegaconf""",
    """parameterized""": """parameterized""",
    """protobuf""": """protobuf>=3.20.3,<4""",
    """pytest""": """pytest""",
    """pytest-timeout""": """pytest-timeout""",
    """pytest-xdist""": """pytest-xdist""",
    """ruff""": """ruff>=0.0.241""",
    """safetensors""": """safetensors""",
    """sentencepiece""": """sentencepiece>=0.1.91,!=0.1.92""",
    """scipy""": """scipy""",
    """onnx""": """onnx""",
    """regex""": """regex!=2019.12.17""",
    """requests""": """requests""",
    """tensorboard""": """tensorboard""",
    """torch""": """torch>=1.4""",
    """torchvision""": """torchvision""",
    """transformers""": """transformers>=4.25.1""",
    """urllib3""": """urllib3<=2.0.0""",
}

