
def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase						)  ->	int:
				if index == number_of_items:
								return 0
				UpperCamelCase_:							Union[str, Any]	=						0
				UpperCamelCase_:							Optional[int]	=						0
				UpperCamelCase_:							Union[str, Any]	=						knapsack(lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase     ,    index + 1						)
				if weights[index] <= max_weight:
								UpperCamelCase_:							int	=						values[index] + knapsack(
								    lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase     ,    max_weight - weights[index]     ,    index + 1						)
				return max(lowerCamelCase     ,    lowerCamelCase						)


if __name__ == "__main__":
							import doctest

							doctest.testmod()








lowerCamelCase_						: Optional[Any]         =  """
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

lowerCamelCase_						: Union[str, Any]         =  [{"""type""": """code""", """content""": INSTALL_CONTENT}]
lowerCamelCase_						: Optional[Any]         =  {
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}






