feat(arrow): opt-in coalesce of heterogeneous temporal lists to Timestamp(ns)

KDB returns mixed-typed columns (most commonly: temporal nulls of
varying precision -- 0Np, 0Nz, 0Nd -- interleaved) as q general lists.
The faithful Arrow projection emits a `Union` of the per-element
DataTypes. Polars and most DataFrame consumers reject `Union` outright,
making such columns unusable downstream without a re-roundtrip dance.

Add `HeterogeneousListMode::CoalesceTemporals` (off by default) on
`ProjectionOptions`. When set, `project_heterogeneous_list` checks
whether every arm is temporal (Timestamp, Date32, Date64, Time32,
Time64, Duration) and, if so, casts each child to
`Timestamp(Nanosecond, None)` via `arrow_cast::cast`, concatenates, and
emits a flat array. Any non-temporal arm or cast error falls back to
the existing Union path, so the flag is safe to enable globally.

Plumbed through the Python `DecodeOptions` API as
`with_coalesce_temporals(bool)` with matching getter and pyi stub. The
default stays `False`; users opt in when they know the consumer
(Polars) can't handle Union and accept the lossy precision promotion.

Tests cover (a) default-Union, (b) all-temporal coalesce, and
(c) non-temporal fallback to Union.

Cargo.lock

@@ -912,6 +912,7 @@ version = "0.3.0"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
+ "arrow-cast",
  "arrow-schema",
  "arrow-select",
  "bytemuck",