
'''simple docstring'''
import unittest

from knapsack import greedy_knapsack as kp






class 	snake_case__       (      unittest.TestCase					):







		"""simple docstring"""

		def       lowerCAmelCase				(      self				:			Tuple      )						->			Tuple:






				"""simple docstring"""







				snake_case  :       str     			=						[10, 20, 30, 40, 50, 60]
				snake_case  :       Any     			=						[2, 4, 6, 8, 10, 12]
				snake_case  :       Optional[Any]     			=						100
				self.assertEqual(kp.calc_profit(UpperCamelCase__  ,	UpperCamelCase__  ,	UpperCamelCase__      )  ,	210      )



		def       lowerCAmelCase				(      self				:			List[Any]      )						->			Any:






				"""simple docstring"""







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



		def       lowerCAmelCase				(      self				:			List[str]      )						->			Optional[int]:






				"""simple docstring"""







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



		def       lowerCAmelCase				(      self				:			Optional[int]      )						->			int:






				"""simple docstring"""







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



		def       lowerCAmelCase				(      self				:			str      )						->			Dict:






				"""simple docstring"""







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



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






				"""simple docstring"""







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


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




'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowercase__						       =      {"configuration_encoder_decoder": ["EncoderDecoderConfig"]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["EncoderDecoderModel"]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["TFEncoderDecoderModel"]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["FlaxEncoderDecoderModel"]

if TYPE_CHECKING:
						from .configuration_encoder_decoder import EncoderDecoderConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_encoder_decoder import EncoderDecoderModel

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
						import sys

						lowercase__						       =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


