AutoFeedback API

Result d8db9ce4-bad0-411f-b768-c1548f9aaf08

{
  "llm" : {
    "feedback" : "# Exercise: fractal\n\nLlm Evaluation ist für diese Aufgabe deaktiviert. Entferne die .llmignore Datei vom Package der Aufgabe.\n\n\n# Exercise: knapsack\n\n### Correctness\n- In `pack`, you call `loadItem(k)` / `unloadItem(k)` with `k` coming from `0..maxN-1`, but `loadItem` expects an item index; this makes you load different item types instead of taking item `i` multiple times.\n- Your `for (int k = 0; k < maxN; k++) { loadItem(k); ... unloadItem(k); }` structure never represents “take item i n-times” correctly: after the loop you don’t end up with `n` copies of item `i`, and you also immediately unload within each iteration, so you never explore states with 2 or 3 copies of the same item at once.\n- The condition `else if (weights[i] < maxWeight)` is not the right pruning check for the recursion: it ignores the current weight already in the knapsack and also rejects cases where `weights[i] == maxWeight` even though that could be a valid choice (depending on `currWeight`).\n- You only update `maxValue` when `i == weights.length`. If `currWeight` exceeds `maxWeight` earlier, you don’t stop exploring that branch (you just keep recursing), which can lead to incorrect exploration logic relative to the intended “only consider solutions within maxWeight”.\n\n### Suggestion\n- In the recursion, keep `i` as “which item type am I deciding about now”, and use a separate counter (0..maxN) to represent how many copies of *that same item i* you take; make sure the method that changes `currWeight/currValue` uses the item index `i`, not the copy count.\n- Think about the recursion pattern: you usually want to try “take 0 copies”, then “take 1 copy”, then “take 2 copies”, … up to `maxN` copies of the current item, before moving on to `i+1`.\n- For pruning, base the decision on `currWeight` (possibly after adding items), not just on `weights[i]`; consider checking whether the current partial solution is already overweight and returning early.\n- Review where you place `unloadItem`: you typically want to undo exactly the changes you accumulated while trying multiple copies, not unload after every single attempt in a way that prevents reaching the “2 copies” / “3 copies” states.\n\n### Code Style\n- Naming is a bit inconsistent: `loadItem`/`unloadItem` suggest “one item”, but your loop variable `k` looks like “copy count”; clearer naming (e.g., `copies` vs `itemIndex`) would reduce the risk of mixing them up.\n- In `pack`, use braces consistently and consider simplifying nested `if/else` for readability (especially around the base case and pruning logic).\n\n\n# Exercise: queens\n\nLlm Evaluation ist für diese Aufgabe deaktiviert. Entferne die .llmignore Datei vom Package der Aufgabe.\n\n\n# Exercise: sudoku\n\nLlm Evaluation ist für diese Aufgabe deaktiviert. Entferne die .llmignore Datei vom Package der Aufgabe.\n",
    "status" : "SUCCESS"
  },
  "unitTest" : {
    "tests" : [ {
      "name" : "allZero()",
      "status" : "PASSED",
      "message" : null
    }, {
      "name" : "uselessStuff()",
      "status" : "PASSED",
      "message" : null
    }, {
      "name" : "random1()",
      "status" : "PASSED",
      "message" : null
    }, {
      "name" : "random2()",
      "status" : "PASSED",
      "message" : null
    }, {
      "name" : "random3()",
      "status" : "FAILED",
      "message" : null
    }, {
      "name" : "boardIsValidAfterSolveN4()",
      "status" : "FAILED",
      "message" : "Board must contain exactly N queens ==> expected: <4> but was: <0>"
    }, {
      "name" : "boardIsValidAfterSolveN5()",
      "status" : "FAILED",
      "message" : "Board must contain exactly N queens ==> expected: <5> but was: <0>"
    }, {
      "name" : "boardIsValidAfterSolveN8()",
      "status" : "FAILED",
      "message" : "Board must contain exactly N queens ==> expected: <8> but was: <0>"
    }, {
      "name" : "boardSizeIsCorrectForN4()",
      "status" : "PASSED",
      "message" : null
    }, {
      "name" : "boardSizeIsCorrectForN8()",
      "status" : "PASSED",
      "message" : null
    }, {
      "name" : "countN1()",
      "status" : "FAILED",
      "message" : "N=1 has exactly 1 solution ==> expected: <1> but was: <0>"
    }, {
      "name" : "countN2()",
      "status" : "PASSED",
      "message" : null
    }, {
      "name" : "countN3()",
      "status" : "PASSED",
      "message" : null
    }, {
      "name" : "countN4()",
      "status" : "FAILED",
      "message" : "N=4 has exactly 2 solutions ==> expected: <2> but was: <0>"
    }, {
      "name" : "countN5()",
      "status" : "FAILED",
      "message" : "N=5 has exactly 10 solutions ==> expected: <10> but was: <0>"
    }, {
      "name" : "countN6()",
      "status" : "FAILED",
      "message" : "N=6 has exactly 4 solutions ==> expected: <4> but was: <0>"
    }, {
      "name" : "countN8()",
      "status" : "FAILED",
      "message" : "N=8 has exactly 92 solutions ==> expected: <92> but was: <0>"
    }, {
      "name" : "solveReturnsTrueForN1()",
      "status" : "FAILED",
      "message" : "N=1 has exactly one solution ==> expected: <true> but was: <false>"
    }, {
      "name" : "solveReturnsTrueForN4()",
      "status" : "FAILED",
      "message" : "N=4 has valid queen placements ==> expected: <true> but was: <false>"
    }, {
      "name" : "solveReturnsTrueForN8()",
      "status" : "FAILED",
      "message" : "N=8 has valid queen placements ==> expected: <true> but was: <false>"
    }, {
      "name" : "solveReturnsFalseForN2()",
      "status" : "PASSED",
      "message" : null
    }, {
      "name" : "solveReturnsFalseForN3()",
      "status" : "PASSED",
      "message" : null
    } ]
  }
}