






'''simple docstring'''




def 	__UpperCAmelCase       ( __magic_name__     ,__magic_name__     ,__magic_name__						)->    int:



			"""simple docstring"""



			if len(__magic_name__						) != len(__magic_name__						):
						raise ValueError("The length of profit and weight must be same."						)
			if max_weight <= 0:
						raise ValueError("max_weight must greater than zero."						)
			if any(p < 0 for p in profit						):
						raise ValueError("Profit can not be negative."						)
			if any(w < 0 for w in weight						):
						raise ValueError("Weight can not be negative."						)

			# List created to store profit gained for the 1kg in case of each weight
			# respectively.  Calculate and append profit/weight for each element.
			snake_case_				:					Optional[Any]   =       [p / w for p, w in zip(__magic_name__     ,__magic_name__						)]

			# Creating a copy of the list and sorting profit/weight in ascending order
			snake_case_				:					List[Any]   =       sorted(__magic_name__						)

			# declaring useful variables
			snake_case_				:					Optional[int]   =       len(__magic_name__						)
			snake_case_				:					Union[str, Any]   =       0
			snake_case_				:					int   =       0
			snake_case_				:					Union[str, Any]   =       0

			# loop till the total weight do not reach max limit e.g. 15 kg and till i<length
			while limit <= max_weight and i < length:
						# flag value for encountered greatest element in sorted_profit_by_weight
						snake_case_				:					List[Any]   =       sorted_profit_by_weight[length - i - 1]
						snake_case_				:					str   =       profit_by_weight.index(__magic_name__						)
						snake_case_				:					Union[str, Any]   =       -1

						# check if the weight encountered is less than the total weight
						# encountered before.
						if max_weight - limit >= weight[index]:
									limit += weight[index]
									# Adding profit gained for the given weight 1 ===
									# weight[index]/weight[index]
									gain += 1 * profit[index]
						else:
									# Since the weight encountered is greater than limit, therefore take the
									# required number of remaining kgs and calculate profit for it.
									# weight remaining / weight[index]
									gain += (max_weight - limit) / weight[index] * profit[index]
									break
						i += 1
			return gain


if __name__ == "__main__":
		print(
		    '''Input profits, weights, and then max_weight (all positive ints) separated by '''
		    '''spaces.'''
		)

		__lowerCamelCase   :					Any   							=					[int(x) for x in input('''Input profits separated by spaces: ''').split()]
		__lowerCamelCase   :					str   							=					[int(x) for x in input('''Input weights separated by spaces: ''').split()]
		__lowerCamelCase   :					Optional[Any]   							=					int(input('''Max weight allowed: '''))

		# Function Call
		calc_profit(profit, weight, max_weight)












'''simple docstring'''




# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os

from accelerate.test_utils import execute_subprocess_async

def 	__UpperCAmelCase       ( __magic_name__=None						)->    List[str]:



			"""simple docstring"""



			if subparsers is not None:
						snake_case_				:					List[str]   =       subparsers.add_parser("test"						)
			else:
						snake_case_				:					List[Any]   =       argparse.ArgumentParser("Accelerate test command"						)

			parser.add_argument(
			    "--config_file"     ,default=__magic_name__     ,help=(
			        "The path to use to store the config file. Will default to a file named default_config.yaml in the cache "
			        "location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have "
			        "such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed "
			        "with 'huggingface'."
			    )     ,)

			if subparsers is not None:
						parser.set_defaults(func=__magic_name__						)
			return parser

def 	__UpperCAmelCase       ( __magic_name__						)->    Tuple:



			"""simple docstring"""



			snake_case_				:					Optional[Any]   =       os.path.sep.join(__file__.split(os.path.sep						)[:-2] + ["test_utils", "scripts", "test_script.py"]						)

			if args.config_file is None:
						snake_case_				:					str   =       script_name
			else:
						snake_case_				:					Any   =       F'''--config_file={args.config_file} {script_name}'''

			snake_case_				:					Union[str, Any]   =       ["accelerate-launch"] + test_args.split()
			snake_case_				:					Optional[int]   =       execute_subprocess_async(__magic_name__     ,env=os.environ.copy()						)
			if result.returncode == 0:
						print("Test is a success! You are ready for your distributed training!"						)

def 	__UpperCAmelCase       ( )->    int:



			"""simple docstring"""



			snake_case_				:					Dict   =       test_command_parser()
			snake_case_				:					Dict   =       parser.parse_args()
			test_command(__magic_name__						)


if __name__ == "__main__":
		main()




