Dreamcoder lilo fixed - #374
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Replace the hand-rolled abstraction parser in dreamcoder/enumeration.py with neurosym.compression.process_abstraction.abstraction_production_from_dreamcoder, which uses stitch_core's canonical conversion (correct de Bruijn remapping of #-parameters vs inner-lambda vars), maps inner lambdas to the DSL's single-arg lambda production, and types the body via compute_type_abs. Unrepresentable abstractions (higher-order parameter application, unknown primitive, failed unification) return None and are skipped. Also pass no_curried_metavars/no_curried_bodies to stitch so higher-order abstractions NeuroSym cannot represent are never generated, and add repro_enum_abstraction.py, a fast harness that replays the per-task abstraction conversion without running enumeration/recognition. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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