{ "task": { "id": "case_21", "name": "unique_token_extractor", "summary": "Extract unique tokens from a string", "examples": [ { "input": [ "BOS", "b", "b", "a", "a", "b", "b", "a", "a", "a" ], "output": [ "BOS", "b", null, "a", null, null, null, null, null, null ] }, { "input": [ "BOS", "c", "c", "a", "c", "a", "c", "c", "a", "a" ], "output": [ "BOS", "c", null, "a", null, null, null, null, null, null ] }, { "input": [ "BOS", "c", "a", "c", "c", "a", "a", "c", "b", "c" ], "output": [ "BOS", "c", "a", null, null, null, null, null, "b", null ] }, { "input": [ "BOS", "c", "c", "c", "b", "c", "b", "b", "c", "b" ], "output": [ "BOS", "c", null, null, "b", null, null, null, null, null ] }, { "input": [ "BOS", "c", "c", "c", "a", "c", "b", "a", "b", "b" ], "output": [ "BOS", "c", null, null, "a", null, "b", null, null, null ] } ], "is_categorical": true }, "program": "tokens_with_indices = rasp.SequenceMap(lambda x, i: (x, i), sop, rasp.indices)\noccurrences_selector = rasp.Select(tokens_with_indices, tokens_with_indices, lambda k, q: k[0] == q[0] and k[1] <= q[1])\noccurrences_per_row = rasp.SelectorWidth(occurrences_selector)\nfirst_occurrences_indices = rasp.SequenceMap(lambda count, i: i if count == 1 else -1, occurrences_per_row, rasp.indices)\ntokens_selector = rasp.Select(first_occurrences_indices, rasp.indices, rasp.Comparison.EQ).named(\"unique_tokens_selector\")\nreturn rasp.Aggregate(tokens_selector, sop, default=None).named(\"unique_tokens\")", "components": [ { "id": "L0_MLP", "hook": "blocks.0.mlp.hook_post", "role": { "tag": "COMBINER", "note": "Creates a combined 'token + position' representation so later steps can tell which token occurred where." }, "rasp_vars": [ "tokens_with_indices" ], "labels": [ "sequence_map_6" ] }, { "id": "L1H0_ATTN", "hook": "blocks.1.attn.hook_result[0]", "role": { "tag": "AGGREGATOR", "note": "Aggregates matching positions (same token, earlier-or-equal index) into a per-position count of how many times each token has appeared up to and including the current position." }, "rasp_vars": [ "occurrences_selector" ], "labels": [ "selector_width_4_selector_width_attn_output" ] }, { "id": "L1_MLP", "hook": "blocks.1.mlp.hook_post", "role": { "tag": "MAPPER", "note": "Converts the per-position summary into the explicit running count of that token's occurrences so far. (how many times this token has appeared up to here)." }, "rasp_vars": [ "occurrences_per_row" ], "labels": [ "selector_width_4", "selector_width_4_selector_width_attn_output" ] }, { "id": "L2_MLP", "hook": "blocks.2.mlp.hook_post", "role": { "tag": "COMBINER", "note": "Computes a per-position routing key that marks the first occurrence positions and marks all others as an invalid index." }, "rasp_vars": [ "first_occurrences_indices" ], "labels": [ "sequence_map_3" ] }, { "id": "L3H0_ATTN", "hook": "blocks.3.attn.hook_result[0]", "role": { "tag": "AGGREGATOR", "note": "Attends to the position (if any) whose 'first occurrences indices' equals the current index, and aggregates the token value from there, or None if no such position exists." }, "rasp_vars": [ "unique_tokens" ], "labels": [ "unique_tokens_1" ] } ] }