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added a problem with solution on sliding window. (#8566)
* added a problem with solution on sliding window. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * added hint for return type and parameter * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update minimum_size_subarray_sum.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update minimum_size_subarray_sum.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update minimum_size_subarray_sum.py * Update minimum_size_subarray_sum.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update minimum_size_subarray_sum.py * removed un-necessary docs and added 2 test cases * Rename sliding_window/minimum_size_subarray_sum.py to dynamic_programming/minimum_size_subarray_sum.py * Update minimum_size_subarray_sum.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update minimum_size_subarray_sum.py * Update minimum_size_subarray_sum.py * Update minimum_size_subarray_sum.py * Update minimum_size_subarray_sum.py * Update minimum_size_subarray_sum.py * Update minimum_size_subarray_sum.py * Update dynamic_programming/minimum_size_subarray_sum.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update dynamic_programming/minimum_size_subarray_sum.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update dynamic_programming/minimum_size_subarray_sum.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update dynamic_programming/minimum_size_subarray_sum.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update dynamic_programming/minimum_size_subarray_sum.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update dynamic_programming/minimum_size_subarray_sum.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update dynamic_programming/minimum_size_subarray_sum.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update minimum_size_subarray_sum.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update minimum_size_subarray_sum.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update minimum_size_subarray_sum.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update minimum_size_subarray_sum.py * Update minimum_size_subarray_sum.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.com>
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dynamic_programming/minimum_size_subarray_sum.py
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dynamic_programming/minimum_size_subarray_sum.py
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import sys
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def minimum_subarray_sum(target: int, numbers: list[int]) -> int:
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"""
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Return the length of the shortest contiguous subarray in a list of numbers whose sum
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is at least target. Reference: https://stackoverflow.com/questions/8269916
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>>> minimum_subarray_sum(7, [2, 3, 1, 2, 4, 3])
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2
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>>> minimum_subarray_sum(7, [2, 3, -1, 2, 4, -3])
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4
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>>> minimum_subarray_sum(11, [1, 1, 1, 1, 1, 1, 1, 1])
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0
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>>> minimum_subarray_sum(10, [1, 2, 3, 4, 5, 6, 7])
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2
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>>> minimum_subarray_sum(5, [1, 1, 1, 1, 1, 5])
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1
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>>> minimum_subarray_sum(0, [])
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0
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>>> minimum_subarray_sum(0, [1, 2, 3])
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1
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>>> minimum_subarray_sum(10, [10, 20, 30])
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1
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>>> minimum_subarray_sum(7, [1, 1, 1, 1, 1, 1, 10])
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1
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>>> minimum_subarray_sum(6, [])
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0
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>>> minimum_subarray_sum(2, [1, 2, 3])
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1
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>>> minimum_subarray_sum(-6, [])
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0
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>>> minimum_subarray_sum(-6, [3, 4, 5])
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1
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>>> minimum_subarray_sum(8, None)
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0
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>>> minimum_subarray_sum(2, "ABC")
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Traceback (most recent call last):
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...
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ValueError: numbers must be an iterable of integers
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"""
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if not numbers:
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return 0
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if target == 0 and target in numbers:
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return 0
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if not isinstance(numbers, (list, tuple)) or not all(
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isinstance(number, int) for number in numbers
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):
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raise ValueError("numbers must be an iterable of integers")
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left = right = curr_sum = 0
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min_len = sys.maxsize
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while right < len(numbers):
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curr_sum += numbers[right]
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while curr_sum >= target and left <= right:
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min_len = min(min_len, right - left + 1)
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curr_sum -= numbers[left]
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left += 1
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right += 1
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return 0 if min_len == sys.maxsize else min_len
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