Created
December 16, 2023 14:12
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import heapq | |
def find_k_mins(matrix, k): | |
ptrs = [0 for _ in matrix] | |
curr_min = float("inf") | |
min_ind = -1 | |
heap = [] | |
heapq.heapify(heap) | |
while len(heap) < k: | |
for i in range(len(ptrs)): | |
ptr = ptrs[i] | |
val = matrix[i][ptr] | |
if val <= curr_min: | |
curr_min = val | |
min_ind = i | |
ptrs[min_ind] += 1 | |
heapq.heappush(heap, curr_min) | |
curr_min = float("inf") | |
min_ind = -1 | |
return heap | |
def runner(): | |
scenarios = [ | |
{ | |
"matrix": [], | |
"k": 0, | |
"expected": [] | |
}, | |
{ | |
"matrix": [ | |
[1, 2, 4], | |
[2, 3, 4], | |
[4, 5, 7] | |
], | |
"k": 4, | |
"expected": [1, 2, 2, 3] | |
}, | |
{ | |
"matrix": [ | |
[9, 12, 14, 17, 22], | |
[4, 8, 11, 13, 71], | |
[2, 6, 7, 8, 9] | |
], | |
"k": 6, | |
"expected": [2, 4, 6, 7, 8, 8] | |
} | |
] | |
for scenario in scenarios: | |
l = find_k_mins(scenario['matrix'], scenario['k']) | |
if l != scenario['expected']: | |
print(f"Got {l}, expected {scenario['expected']} with a k of {scenario['k']}") | |
else: | |
print("+1") | |
runner() |
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