| { |
| "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" |
| ] |
| } |
| ] |
| } |
|
|
