"""``table_dsl_v1`` operator signature table — grammar only (``docs/02`` §7, ``docs/07`` §4 P2). This third DSL covers lookups/aggregations over a table's rows and columns. P2 ships the **signature table + canonicalization profile** so the type checker and canonicalizer cover the full ``dsl`` enum and so ChartQA's underlying table (hashed in ``provenance.table_sha256``) has a target grammar. No per-source compiler is implemented here: tables are not compiled deterministically in P2. ChartQA is a C2/P4 model-compiled source — its program is proposed/verified by the dual model families, not built in code. The compiler is therefore P4. """ from __future__ import annotations from .typecheck import OpSignature # DSL marker (the ``dsl`` enum value); kept for parity with the other DSL modules. DSL = "table_dsl_v1" # --- operator signature table --------------------------------------------- # # ``COL(label)`` selects a column (scalar); ``ROW(...)`` selects a row. ``LOOKUP`` # reads one cell. ``SUM``/``AVG`` are variadic-commutative aggregations over a # column (set) of values; ``COUNT``/``EXIST`` are set selectors over a column. SIGNATURES: dict[str, OpSignature] = { "COL": OpSignature(arg_types=("string",), return_type="column", selector_kind="scalar"), "ROW": OpSignature(arg_types=("string",), return_type="row", selector_kind="scalar"), "LOOKUP": OpSignature(arg_types=("row", "column"), return_type="value", selector_kind="none"), "SUM": OpSignature( arg_types=("value",), return_type="value", commutative=True, variadic=True, selector_kind="none", ), "AVG": OpSignature( arg_types=("value",), return_type="value", commutative=True, variadic=True, selector_kind="none", ), "COUNT": OpSignature(arg_types=("column",), return_type="integer", selector_kind="set"), "EXIST": OpSignature(arg_types=("column",), return_type="boolean", selector_kind="set"), } # Canonicalization profile (§7.2 steps 3–5). ``SUM``/``AVG`` are commutative; # table aliases/casts are not introduced in P2 (the compiler is P4). COMMUTATIVE_OPS: frozenset[str] = frozenset({"SUM", "AVG"}) ALIASES: dict[str, str] = {"GET_CELL": "LOOKUP", "TOTAL": "SUM"} IDENTITY_CASTS: frozenset[str] = frozenset() __all__ = [ "ALIASES", "COMMUTATIVE_OPS", "DSL", "IDENTITY_CASTS", "SIGNATURES", ]