{
  "task": {
    "id": "case_11",
    "name": "word_count_by_length",
    "summary": "Returns the length of each word in the input sequence.",
    "examples": [
      {
        "input": [
          "BOS",
          "oCLrZaW",
          "V",
          "b",
          "oCLrZaW",
          "TPSI",
          "poiVg",
          "b",
          "b",
          "oCLrZaW"
        ],
        "output": [
          "BOS",
          7.0,
          1.0,
          1.0,
          7.0,
          4.0,
          5.0,
          1.0,
          1.0,
          7.0
        ]
      },
      {
        "input": [
          "BOS",
          "LB",
          "TPSI",
          "oCLrZaW",
          "TPSI",
          "TPSI",
          "poiVg",
          "b",
          "V",
          "poiVg"
        ],
        "output": [
          "BOS",
          2.0,
          4.0,
          7.0,
          4.0,
          4.0,
          5.0,
          1.0,
          1.0,
          5.0
        ]
      },
      {
        "input": [
          "BOS",
          "poiVg",
          "TPSI",
          "no",
          "b",
          "LB",
          "poiVg",
          "V",
          "no",
          "no"
        ],
        "output": [
          "BOS",
          5.0,
          4.0,
          2.0,
          1.0,
          2.0,
          5.0,
          1.0,
          2.0,
          2.0
        ]
      },
      {
        "input": [
          "BOS",
          "V",
          "J",
          "J",
          "TPSI",
          "TPSI",
          "oCLrZaW",
          "LB",
          "poiVg",
          "V"
        ],
        "output": [
          "BOS",
          1.0,
          1.0,
          1.0,
          4.0,
          4.0,
          7.0,
          2.0,
          5.0,
          1.0
        ]
      },
      {
        "input": [
          "BOS",
          "LB",
          "poiVg",
          "V",
          "b",
          "J",
          "V",
          "LB",
          "no",
          "b"
        ],
        "output": [
          "BOS",
          2.0,
          5.0,
          1.0,
          1.0,
          1.0,
          1.0,
          2.0,
          2.0,
          1.0
        ]
      }
    ],
    "is_categorical": true
  },
  "program": "word_length = rasp.Map(lambda x: len(x), sop)\nlength_selector = rasp.Select(word_length, word_length, rasp.Comparison.EQ)\nword_count = rasp.Aggregate(length_selector, word_length, default=None)\nreturn word_count",
  "components": [
    {
      "id": "L0_MLP",
      "hook": "blocks.0.mlp.hook_post",
      "role": {
        "tag": "MAPPER",
        "note": "Computes a per-token length feature that will be used to group tokens by equal length."
      },
      "rasp_vars": [
        "word_length"
      ],
      "labels": [
        "map_3"
      ]
    },
    {
      "id": "L1H0_ATTN",
      "hook": "blocks.1.attn.hook_result[0]",
      "role": {
        "tag": "AGGREGATOR",
        "note": "Groups positions by matching word length and aggregates to produce the per-length count-style output."
      },
      "rasp_vars": [
        "length_selector",
        "word_count"
      ],
      "labels": [
        "aggregate_1"
      ]
    }
  ]
}