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Added minimum waiting time problem solution using greedy algorithm (#8701)
* Added minimum waiting time problem solution using greedy algorithm * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * ruff --fix * Add type hints * Added two more doc test * Removed unnecessary comments * updated type hints * Updated the code as per the code review --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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* [Fractional Knapsack](greedy_methods/fractional_knapsack.py)
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* [Fractional Knapsack](greedy_methods/fractional_knapsack.py)
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* [Fractional Knapsack 2](greedy_methods/fractional_knapsack_2.py)
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* [Fractional Knapsack 2](greedy_methods/fractional_knapsack_2.py)
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* [Optimal Merge Pattern](greedy_methods/optimal_merge_pattern.py)
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* [Optimal Merge Pattern](greedy_methods/optimal_merge_pattern.py)
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* [Minimum Waiting Time ](greedy_methods/minimum_waiting_time.py)
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## Hashes
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## Hashes
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* [Adler32](hashes/adler32.py)
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* [Adler32](hashes/adler32.py)
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48
greedy_methods/minimum_waiting_time.py
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greedy_methods/minimum_waiting_time.py
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"""
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Calculate the minimum waiting time using a greedy algorithm.
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reference: https://www.youtube.com/watch?v=Sf3eiO12eJs
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For doctests run following command:
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python -m doctest -v minimum_waiting_time.py
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The minimum_waiting_time function uses a greedy algorithm to calculate the minimum
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time for queries to complete. It sorts the list in non-decreasing order, calculates
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the waiting time for each query by multiplying its position in the list with the
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sum of all remaining query times, and returns the total waiting time. A doctest
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ensures that the function produces the correct output.
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"""
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def minimum_waiting_time(queries: list[int]) -> int:
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"""
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This function takes a list of query times and returns the minimum waiting time
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for all queries to be completed.
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Args:
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queries: A list of queries measured in picoseconds
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Returns:
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total_waiting_time: Minimum waiting time measured in picoseconds
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Examples:
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>>> minimum_waiting_time([3, 2, 1, 2, 6])
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17
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>>> minimum_waiting_time([3, 2, 1])
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4
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>>> minimum_waiting_time([1, 2, 3, 4])
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10
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>>> minimum_waiting_time([5, 5, 5, 5])
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30
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>>> minimum_waiting_time([])
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0
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"""
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n = len(queries)
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if n in (0, 1):
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return 0
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return sum(query * (n - i - 1) for i, query in enumerate(sorted(queries)))
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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