{
  "X": [
    0,
    0,
    1,
    2
  ],
  "Y": [
    0,
    1,
    2,
    2
  ],
  "local_abs_cost": [
    [
      "0",
      "1",
      "2",
      "2"
    ],
    [
      "0",
      "1",
      "2",
      "2"
    ],
    [
      "1",
      "0",
      "1",
      "1"
    ],
    [
      "2",
      "1",
      "0",
      "0"
    ]
  ],
  "accumulated_cost": [
    [
      "0",
      "1",
      "3",
      "5"
    ],
    [
      "0",
      "1",
      "3",
      "5"
    ],
    [
      "1",
      "0",
      "1",
      "2"
    ],
    [
      "3",
      "1",
      "0",
      "0"
    ]
  ],
  "path": [
    [
      0,
      0
    ],
    [
      1,
      0
    ],
    [
      2,
      1
    ],
    [
      3,
      2
    ],
    [
      3,
      3
    ]
  ],
  "path_cost": "0",
  "pointwise_L1_cost": 2,
  "all63_paths_costs": [
    "4",
    "2",
    "2",
    "3",
    "2",
    "1",
    "2",
    "2",
    "2",
    "3",
    "2",
    "1",
    "4",
    "5",
    "4",
    "6",
    "4",
    "2",
    "3",
    "2",
    "1",
    "1",
    "2",
    "1",
    "0",
    "3",
    "3",
    "4",
    "3",
    "2",
    "5",
    "6",
    "5",
    "7",
    "5",
    "3",
    "4",
    "3",
    "6",
    "7",
    "6",
    "8",
    "6",
    "8",
    "6",
    "4",
    "5",
    "4",
    "6",
    "4",
    "2",
    "2",
    "3",
    "2",
    "1",
    "4",
    "5",
    "4",
    "6",
    "4",
    "2",
    "3",
    "2"
  ],
  "all_binary_sequence_pair_oracles": 900,
  "unequal_lengths": {
    "X": [
      0,
      1,
      2
    ],
    "Y": [
      0,
      1,
      1,
      2
    ],
    "path": [
      [
        0,
        0
      ],
      [
        1,
        1
      ],
      [
        1,
        2
      ],
      [
        2,
        3
      ]
    ],
    "cost": "0"
  },
  "tie_policy": "diagonal then up then left among equal predecessor cost",
  "invalid_cases_rejected": [
    "empty",
    "bool",
    "NaN",
    "Inf",
    "over_budget",
    "invalid_step",
    "wrong_endpoint"
  ],
  "scope": "own tiny exact numeric sequences and raw cost; zero DTW is not sequence equality, probability, universal metric, audio/text quality or alignment-model execution; no SciPy/Numba/librosa/model/Opera claim"
}
