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lcb-0174

0.000
0/2 tests· algorithms

Proposed solution

```python
from typing import List

class Solution:
    def minimumCost(self, nums: List[int], cost: List[int], k: int) -> int:
        def cost_of_subarray(start: int, end: int) -> int:
            subarray_sum = sum(nums[start:end+1])
            cost_sum = sum(cost[start:end+1])
            return (subarray_sum + k * (end - start + 1)) * cost_sum

        def dp(i: int, j: int) -> int:
            if i > j:
                return 0
            if (i, j) in memo:
                    return memo[(i, j)]
            min_cost = float('inf')
            for k in range(i, j):
                min_cost = min(min_cost, dp(i, k) + dp(k + 1, j) + cost_of_subarray(i, k) + cost_of_subarray(k + 1, j))
            memo[(i, j)] = min_cost
            return min_cost

        memo = {}
        return dp(0, len(nums) - 1)
```

Test output (stdout)

FF                                                                       [100%]
=================================== FAILURES ===================================
_______________________________ test_lcb_0174[0] _______________________________

i = 0

    @pytest.mark.parametrize("i", range(len(_CASES)))
    def test_lcb_0174(i):
        c = _CASES[i]
        args = _parse(c["input"])
        expected = _parse(c["output"])
        expected = expected[0] if len(expected) == 1 else expected
        got = Solution().minimumCost(*args)
>       assert _eq(got, expected), f"args={args!r} expected={expected!r} got={got!r}"
E       AssertionError: args=[[3, 1, 4], [4, 6, 6], 1] expected=110 got=inf
E       assert False
E        +  where False = _eq(inf, 110)

test_lcb_0174.py:47: AssertionError
_______________________________ test_lcb_0174[1] _______________________________

i = 1

    @pytest.mark.parametrize("i", range(len(_CASES)))
    def test_lcb_0174(i):
        c = _CASES[i]
        args = _parse(c["input"])
        expected = _parse(c["output"])
        expected = expected[0] if len(expected) == 1 else expected
        got = Solution().minimumCost(*args)
>       assert _eq(got, expected), f"args={args!r} expected={expected!r} got={got!r}"
E       AssertionError: args=[[4, 8, 5, 1, 14, 2, 2, 12, 1], [7, 2, 8, 4, 2, 2, 1, 1, 2], 7] expected=985 got=inf
E       assert False
E        +  where False = _eq(inf, 985)

test_lcb_0174.py:47: AssertionError
=========================== short test summary info ============================
FAILED test_lcb_0174.py::test_lcb_0174[0] - AssertionError: args=[[3, 1, 4], ...
FAILED test_lcb_0174.py::test_lcb_0174[1] - AssertionError: args=[[4, 8, 5, 1...
2 failed in 0.02s
Self-repair attempts
[
  {
    "total": 2,
    "answer": "```python\nfrom typing import List\n\nclass Solution:\n    def minimumCost(self, nums: List[int], cost: List[int], k: int) -> int:\n        def cost_of_subarray(start: int, end: int) -> int:\n            subarray_sum = sum(nums[start:end+1])\n            cost_sum = sum(cost[start:end+1])\n            return (subarray_sum + k * (end - start + 1)) * cost_sum\n\n        def dp(i: int, j: int) -> int:\n            if i > j:\n                return 0\n            if (i, j) in memo:\n                    return memo[(i, j)]\n            min_cost = float('inf')\n            for k in range(i, j):\n                min_cost = min(min_cost, dp(i, k) + dp(k + 1, j) + cost_of_subarray(i, k) + cost_of_subarray(k + 1, j))\n            memo[(i, j)] = min_cost\n            return min_cost\n\n        memo = {}\n        return dp(0, len(nums) - 1)\n```",
    "passed": 0,
    "test_error": "FF                                                                       [100%]\n=================================== FAILURES ===================================\n_______________________________ test_lcb_0174[0] _______________________________\n\ni = 0\n\n    @pytest.mark.parametrize(\"i\", range(len(_CASES)))\n    def test_lcb_0174(i):\n        c = _CASES[i]\n        args = _parse(c[\"input\"])\n        expected = _parse(c[\"output\"])\n        expected = expected[0] if len(expected) == 1 else expected\n        got = Solution().minimumCost(*args)\n>       assert _eq(got, expected), f\"args={args!r} expected={expected!r} got={got!r}\"\nE       AssertionError: args=[[3, 1, 4], [4, 6, 6], 1] expected=110 got=inf\nE       assert False\nE        +  where False = _eq(inf, 110)\n\ntest_lcb_0174.py:47: AssertionError\n_______________________________ test_lcb_0174[1] _______________________________\n\ni = 1\n\n    @pytest.mark.parametrize(\"i\", range(len(_CASES)))\n    def test_lcb_0174(i):\n        c = _CASES[i]\n        args = _parse(c[\"input\"])\n        expected = _parse(c[\"output\"])\n        expected = expected[0] if len(expected) == 1 else expected\n        got = Solution().minimumCost(*args)\n>       assert _eq(got, expected), f\"args={args!r} expected={expected!r} got={got!r}\"\nE       AssertionError: args=[[4, 8, 5, 1, 14, 2, 2, 12, 1], [7, 2, 8, 4, 2, 2, 1, 1, 2], 7] expected=985 got=inf\nE       assert False\nE        +  where False = _eq(inf, 985)\n\ntest_lcb_0174.py:47: AssertionError\n=========================== short test summary info ============================\nFAILED test_lcb_0174.py::test_lcb_0174[0] - AssertionError: args=[[3, 1, 4], ...\nFAILED test_lcb_0174.py::test_lcb_0174[1] - AssertionError: args=[[4, 8, 5, 1...\n2 failed in 0.02s"
  },
  {
    "total": 2,
    "answer": "```python\nfrom typing import List\n\nclass Solution:\n    def minimumCost(self, nums: List[int], cost: List[int], k: int) -> int:\n        def cost_of_subarray(start: int, end: int) -> int:\n            subarray_sum = sum(nums[start:end+1])\n            cost_sum = sum(cost[start:end+1])\n            return (subarray_sum + k * (end - start + 1)) * cost_sum\n\n        def dp(i: int, j: int) -> int:\n            if i > j:\n                return 0\n            if (i, j) in memo:\n                    return memo[(i, j)]\n            min_cost = float('inf')\n            for k in range(i, j):\n                min_cost = min(min_cost, dp(i, k) + dp(k + 1, j) + cost_of_subarray(i, k) + cost_of_subarray(k + 1, j))\n            memo[(i, j)] = min_cost\n            return min_cost\n\n        memo = {}\n        return dp(0, len(nums) - 1)\n```",
    "passed": 0,
    "test_error": "FF                                                                       [100%]\n=================================== FAILURES ===================================\n_______________________________ test_lcb_0174[0] _______________________________\n\ni = 0\n\n    @pytest.mark.parametrize(\"i\", range(len(_CASES)))\n    def test_lcb_0174(i):\n        c = _CASES[i]\n        args = _parse(c[\"input\"])\n        expected = _parse(c[\"output\"])\n        expected = expected[0] if len(expected) == 1 else expected\n        got = Solution().minimumCost(*args)\n>       assert _eq(got, expected), f\"args={args!r} expected={expected!r} got={got!r}\"\nE       AssertionError: args=[[3, 1, 4], [4, 6, 6], 1] expected=110 got=inf\nE       assert False\nE        +  where False = _eq(inf, 110)\n\ntest_lcb_0174.py:47: AssertionError\n_______________________________ test_lcb_0174[1] _______________________________\n\ni = 1\n\n    @pytest.mark.parametrize(\"i\", range(len(_CASES)))\n    def test_lcb_0174(i):\n        c = _CASES[i]\n        args = _parse(c[\"input\"])\n        expected = _parse(c[\"output\"])\n        expected = expected[0] if len(expected) == 1 else expected\n        got = Solution().minimumCost(*args)\n>       assert _eq(got, expected), f\"args={args!r} expected={expected!r} got={got!r}\"\nE       AssertionError: args=[[4, 8, 5, 1, 14, 2, 2, 12, 1], [7, 2, 8, 4, 2, 2, 1, 1, 2], 7] expected=985 got=inf\nE       assert False\nE        +  where False = _eq(inf, 985)\n\ntest_lcb_0174.py:47: AssertionError\n=========================== short test summary info ============================\nFAILED test_lcb_0174.py::test_lcb_0174[0] - AssertionError: args=[[3, 1, 4], ...\nFAILED test_lcb_0174.py::test_lcb_0174[1] - AssertionError: args=[[4, 8, 5, 1...\n2 failed in 0.02s"
  },
  {
    "total": 2,
    "answer": "```python\nfrom typing import List\n\nclass Solution:\n    def minimumCost(self, nums: List[int], cost: List[int], k: int) -> int:\n        def cost_of_subarray(start: int, end: int) -> int:\n            subarray_sum = sum(nums[start:end+1])\n            cost_sum = sum(cost[start:end+1])\n            return (subarray_sum + k * (end - start + 1)) * cost_sum\n\n        def dp(i: int, j: int) -> int:\n            if i > j:\n                return 0\n            if (i, j) in memo:\n                    return memo[(i, j)]\n            min_cost = float('inf')\n            for k in range(i, j):\n                min_cost = min(min_cost, dp(i, k) + dp(k + 1, j) + cost_of_subarray(i, k) + cost_of_subarray(k + 1, j))\n            memo[(i, j)] = min_cost\n            return min_cost\n\n        memo = {}\n        return dp(0, len(nums) - 1)\n```",
    "passed": 0,
    "test_error": ""
  }
]
System prompt
You are an expert programmer. Solve the task exactly as specified. Output your solution as fenced code blocks using the required file name(s) and the exact function/type signatures requested. Prefer correctness; do not include prose outside code unless asked.