list_extract: replace per-row MutableArrayData gather with take and zip #5100

What is the problem the feature request solves?

list_extract in native/spark-expr/src/array_funcs/list_extract.rs gathers one element per row from the flat values buffer with a per-row MutableArrayData loop (extend one element, or extend from the one-row default array, or extend nulls). This is a hand-rolled take, and per-row extend calls are slower than a single gather.

Describe the potential solution

Two-pass structure:

1. Compute an index array per row: Some(start + adjusted_index), None for null list, null ordinal, or out-of-bounds, erroring early for fail_on_error exactly as today (the row-by-row index computation preserves error-before-result ordering).
2. One arrow::compute::take(values, &indices, None) (take handles null indices as null output and works on any element type, including nested).
3. Default substitution with arrow::compute::kernels::zip::zip(mask, default_scalar, taken), where the mask fires only on non-null-list, non-null-index out-of-bounds rows.

Additional context

Null propagation is identical; the mask construction for default substitution is the only subtle part. Likely a performance win (one gather versus per-row extends).

Found during an audit of native code that replicates existing arrow-rs kernels.