Use array "current domain" for vector dimension

[mlin]

On ingestion, the vector dimension is read from the array's dimension 1 domain:

TileDB-Vector-Search/apis/python/src/tiledb/vector_search/ingestion.py

Lines 417 to 421 in f45eff3

	if source_type == "TILEDB_SPARSE_ARRAY":
	schema = tiledb.ArraySchema.load(source_uri)
	size = np.int64(schema.domain.dim(0).domain[1]) + 1
	dimensions = np.int64(schema.domain.dim(1).domain[1]) + 1
	return size, dimensions, schema.attr(0).dtype

But the "current domain" should likely be used instead, if set (new feature).

Alternatively: the ingest method could take an optional dimensions arg to use instead of of the one detected by read_source_metadata, complementing the existing size arg.

---

[sc-62701]

[mlin]

Context: the "new shape feature" in tiledbsoma 1.15 has the dimension domains set to ~2^63 and uses the "current domain" for the desired shape. So TileDB-Vector-Search reads dimensions as ~2^63 which causes downstream problems (for good reason!).