AutoFeedback API

Result 42a5f506-1d4c-4a82-8b1f-33b7b926f9b3

{
  "llm" : {
    "feedback" : "# Exercise: fractal\n\n### Correctness\n- In `Boxes` ist `drawRec(...)` nicht implementiert, dadurch wird beim Zeichnen nichts angezeigt (Anforderung: `draw`-Methoden in `Boxes` implementieren).\n- In `Triangles` ist `drawRec(...)` nicht implementiert, dadurch wird beim Zeichnen nichts angezeigt (Anforderung: `draw`-Methoden in `Triangles` implementieren).\n\n### Suggestion\n- Überlege dir für `Boxes.drawRec(...)` eine klare Abbruchbedingung (z.B. bei `n == 0`) und zeichne in diesem Fall genau ein Quadrat mit `g.drawRect(...)`; für `n > 0` solltest du die Fläche in Teilquadrate zerlegen und rekursiv weiterzeichnen.\n- Für `Triangles.drawRec(...)` brauchst du ebenfalls einen Basisfall, in dem du mit drei `g.drawLine(...)`-Aufrufen ein Dreieck zeichnest; im rekursiven Fall berechnest du geeignete Mittelpunkte der Kanten und rufst die Rekursion für die kleineren Teildreiecke auf (mit `n - 1`).\n\n### Code Style\n- In `Boxes.drawRec(...)` und `Triangles.drawRec(...)` sind noch `// TODO implement`-Platzhalter; entweder implementieren oder zumindest kurz kommentieren, wie du den Rekursionsschritt/Basisfall aufbauen willst, damit der Codezustand klar ist.\n\n\n# Exercise: knapsack\n\n### Correctness\n- In `pack`, your `while (currWeight < maxWeight && amount < maxN)` condition prevents trying to add an item when `currWeight + weights[i]` would still be `<= maxWeight` but `currWeight` is already close to `maxWeight`; this can skip valid combinations because you only check the current weight, not whether the *next* item fits.\n- In `pack`, using `currWeight < maxWeight` instead of allowing equality can miss solutions where the knapsack is exactly filled (i.e., `currWeight == maxWeight`) but still could add 0 further items and should still consider the branch where you already reached max capacity.\n\n### Suggestion\n- Before loading another copy of item `i`, consider checking whether `currWeight + weights[i] <= maxWeight` (instead of only checking `currWeight < maxWeight`). That way you only stop when the *next* copy would exceed the limit.\n- Review all your “fit” conditions and make them consistent: if `<= maxWeight` is allowed for valid states (you use that in the base case), then the branching logic should not exclude the equality case prematurely.\n\n### Code Style\n- Remove the `// TODO implement` comments in `loadItem`/`unloadItem` since they are implemented now.\n- The backtracking cleanup loop `for (int x = amount; x > 0; x--)` works, but using the loop variable inside the body (or a clearer loop form) would make the intent (“undo exactly amount loads”) easier to read.\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" : "PASSED",
      "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
    } ]
  }
}