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"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"
]
}
]
}
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