{ "task": { "id": "case_129", "name": "check_multiple_of_n", "summary": "Checks if all elements are a multiple of n (default n=2).", "examples": [ { "input": [ "BOS", 0, 28, 2, 6, 22, 16, 26, 20, 10 ], "output": [ "BOS", 1, 1, 1, 1, 1, 1, 1, 1, 1 ] }, { "input": [ "BOS", 0, 8, 2, 26, 9, 6, 20, 24, 12 ], "output": [ "BOS", 0, 0, 0, 0, 0, 0, 0, 0, 0 ] }, { "input": [ "BOS", 4, 10, 14, 0, 6, 9, 12, 8, 18 ], "output": [ "BOS", 0, 0, 0, 0, 0, 0, 0, 0, 0 ] }, { "input": [ "BOS", 0, 22, 8, 6, 26, 4, 2, 16, 24 ], "output": [ "BOS", 1, 1, 1, 1, 1, 1, 1, 1, 1 ] }, { "input": [ "BOS", 2, 26, 8, 14, 29, 18, 0, 10, 16 ], "output": [ "BOS", 0, 0, 0, 0, 0, 0, 0, 0, 0 ] } ], "is_categorical": true }, "program": "checks = rasp.Map(lambda x: 1 if x % n == 0 else 0, rasp.tokens).named(f\"check_multiple_of_{n}\")\nzero_selector = rasp.Select(checks, rasp.Map(lambda x: 0, rasp.indices), rasp.Comparison.EQ)\nreturn rasp.Map(lambda x: 0 if x > 0 else 1, rasp.SelectorWidth(zero_selector))", "components": [ { "id": "L0_MLP", "hook": "blocks.0.mlp.hook_post", "role": { "tag": "INDICATOR", "note": "Computes a per-element pass/fail flag indicating whether each value is divisible by n." }, "rasp_vars": [ "checks" ], "labels": [ "check_multiple_of_2_4", "map_5" ] }, { "id": "L1H0_ATTN", "hook": "blocks.1.attn.hook_result[0]", "role": { "tag": "AGGREGATOR", "note": "Aggregates positions where the divisibility flag is zero, producing a per-position count of non-multiple occurrences." }, "rasp_vars": [ "zero_selector" ], "labels": [ "selector_width_2_selector_width_attn_output" ] }, { "id": "L1_MLP", "hook": "blocks.1.mlp.hook_post", "role": { "tag": "MAPPER", "note": "Summarizes the mismatch count signal into a single global indicator shared across positions." }, "rasp_vars": [ "mismatch_count" ], "labels": [ "selector_width_2" ] }, { "id": "L2_MLP", "hook": "blocks.2.mlp.hook_post", "role": { "tag": "INDICATOR", "note": "Converts the global mismatch indicator into the final decision: all-multiples vs not-all-multiples." }, "rasp_vars": [ "all_multiples" ], "labels": [ "map_1" ] } ] }