Add benchmark suite#526
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Nine modules over the duckdb-python binding hot paths: fetch (OUT-row), arrow, pandas, produce_numpy (df/fetchnumpy columnar), ingest_native (values/executemany), ingest_numpy (numpy scan + analyzer bind), udf (native + vectorized arrow), types_roundtrip (type x direction matrix), cardinality (LIMIT sweep). Full-consume discipline, warmup, real-null gotchas, tracemalloc memory guard. See benchmarks/PLAN.md. Standalone (not yet wired into CI).
Cardinality: the ORDER BY ... LIMIT n sweep let the engine top-N sort dominate and swamp the per-row conversion signal (numbers were non-monotone). Replace it with a pre-materialized fixed source + plain LIMIT n (no sort): the scan early-stops at n rows, so rows-to-Python conversion is the dominant n-varying cost and the slope is monotone; the A/B delta at each n isolates the binding. CI: .github/workflows/codspeed.yml runs the suite under CodSpeed simulation (instruction-count) mode on Linux, tokenless (no dashboard upload; enable the hosted gate later via a CodSpeed project + OIDC/token). Instruction counts are deterministic for every benchmark, so no gated/informational split is needed. Not yet run in CI; the build steps mirror the dev build and need a shakeout.
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