{
  "format": "attestql/audit/smells/2",
  "reading": "A smell is a mechanical reason to read this gold statement again. It is a heuristic: it does not state that the statement is wrong, and a maintainer decides.",
  "smells": [
    {
      "name": "ordering-over-numeric-text",
      "fired": false,
      "applicable": false,
      "evidence": {
        "heuristic": true,
        "means": "this statement orders by a text column holding only numbers, and ordering it as a number gives a different answer, so the gold may be sorting 9.5 above 10",
        "reason": "the statement states no top level ORDER BY"
      },
      "counterexample_rows": []
    },
    {
      "name": "arbitrary-cut",
      "fired": false,
      "applicable": false,
      "evidence": {
        "heuristic": true,
        "means": "this statement cuts its result at a LIMIT that does not decide which rows come back, so a different but equally correct statement can return other rows and score zero",
        "reason": "the statement states no LIMIT"
      },
      "counterexample_rows": []
    },
    {
      "name": "not-a-function-of-the-data",
      "fired": false,
      "applicable": true,
      "evidence": {
        "heuristic": true,
        "means": "rerun over the same rows in another physical order this statement gives another answer, so its result depends on how the rows are stored and not only on the data",
        "rule": "R-SET",
        "baseline_result_hash": "sha256:e696aae1a5333b7b93b45035a666b54566afe4c048b471d3009f14cfad491010",
        "baseline_result": {
          "columns": [
            {
              "name": "event_name",
              "declared_type": "text"
            }
          ],
          "row_count": 2,
          "truncated": false,
          "rows_shown": 2,
          "rows": [
            [
              {
                "type": "str",
                "value": "Football game"
              }
            ],
            [
              {
                "type": "str",
                "value": "Women's Soccer"
              }
            ]
          ],
          "result_hash": "sha256:e696aae1a5333b7b93b45035a666b54566afe4c048b471d3009f14cfad491010"
        },
        "planner_statistics": {
          "event": {
            "last_analyze": null,
            "last_autoanalyze": null,
            "n_mod_since_analyze": 42
          }
        },
        "shuffle": {
          "seed": "1",
          "row_limit": 300000,
          "tables": [
            "event"
          ],
          "tables_not_shuffled": [],
          "tables_skipped_for_size": {
            "laptimes": 400524,
            "legalities": 427907,
            "posthistory": 303155,
            "trans": 1056320,
            "yearmonth": 383282
          },
          "tables_not_reached_by_a_copy": {}
        },
        "shuffled_copies": {
          "run": true,
          "verdict": "equal",
          "differs": false,
          "result_hash": "sha256:e696aae1a5333b7b93b45035a666b54566afe4c048b471d3009f14cfad491010",
          "result": {
            "columns": [
              {
                "name": "event_name",
                "declared_type": "text"
              }
            ],
            "row_count": 2,
            "truncated": false,
            "rows_shown": 2,
            "rows": [
              [
                {
                  "type": "str",
                  "value": "Football game"
                }
              ],
              [
                {
                  "type": "str",
                  "value": "Women's Soccer"
                }
              ]
            ],
            "result_hash": "sha256:e696aae1a5333b7b93b45035a666b54566afe4c048b471d3009f14cfad491010"
          }
        },
        "plan_variant": {
          "run": false,
          "reason": "the plan variant was not asked for"
        }
      },
      "counterexample_rows": []
    }
  ]
}