fix: gate experimental local functions behind an opt-in feature (#4688)

Published SDK builds currently expose local SQL computed columns and
materialized-view execution that are not ready for release. Add the
opt-in `experimental-functions` Cargo feature to the Rust core and
forward it through the Python and Node bindings; published packages
leave it disabled.

Local declarations and refreshes now return `NotSupported` before
mutating tables or spawning jobs, including prepared materialized-view
creation. Remote Cloud/Enterprise client operations, Python UDF
packaging, ordinary eager `add_columns`, and access to existing data
remain available. Stored metadata and write protections stay active, and
shared server commit helpers remain usable.

CI covers both feature configurations. Existing local execution tests
run with the feature enabled; default-build regressions cover early
rejection, unchanged table versions, existing metadata protections, and
normal eager transforms. API and source-build documentation explain the
opt-in.

Validation: Rust library tests pass with the feature disabled (1,869
tests) and enabled (1,947 tests), plus three default-build integration
regressions. Python and TypeScript bindings were rebuilt and tested in
both configurations, including mocked remote requests; Rust formatting,
Python package lint, TypeScript lint/build, and generated docs were
checked. Repository-wide Ruff still reports 48 pre-existing errors in
unchanged `docs/web-tests` files.

python/python/tests/test_table.py

@@ -5489,6 +5489,7 @@ async def test_async_search_runs_embedding_on_dedicated_executor(
     )
 
 
+@pytest.mark.experimental_functions
 def test_computed_column_declare_and_refresh(tmp_path):
     db = lancedb.connect(tmp_path)
     table = db.create_table("computed", [{"x": 1}, {"x": 2}])
@@ -5512,6 +5513,7 @@ def test_computed_column_rejects_transforms_and_computed_together(tmp_path):
         table.add_columns({"a": "x + 1"}, computed={"b": "x * 2"})
 
 
+@pytest.mark.experimental_functions
 def test_computed_column_blob_projection_inherits_semantics(tmp_path):
     schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
     db = lancedb.connect(tmp_path)
@@ -5535,6 +5537,7 @@ def test_computed_column_blob_projection_inherits_semantics(tmp_path):
     assert copied.to_pylist() == [b"hello", b"", None]
 
 
+@pytest.mark.experimental_functions
 @pytest.mark.asyncio
 async def test_computed_column_async(tmp_path):
     db = await lancedb.connect_async(tmp_path)
@@ -5553,6 +5556,7 @@ def test_function_errors_are_remote_only(tmp_path):
         table.function_errors()
 
 
+@pytest.mark.experimental_functions
 def test_refresh_column_async_returns_job(tmp_path):
     db = lancedb.connect(tmp_path)
     table = db.create_table("computed_job", [{"x": 1}, {"x": 2}])
@@ -5581,6 +5585,7 @@ def test_refresh_column_async_returns_job(tmp_path):
         table.refresh_column_async("x")
 
 
+@pytest.mark.experimental_functions
 @pytest.mark.asyncio
 async def test_refresh_column_async_job_async_table(tmp_path):
     db = await lancedb.connect_async(tmp_path)
@@ -5597,6 +5602,7 @@ async def test_refresh_column_async_job_async_table(tmp_path):
     assert (await table.to_arrow())["tripled"].to_pylist() == [9]
 
 
+@pytest.mark.experimental_functions
 @pytest.mark.parametrize("interval", [None, 300])
 def test_computed_auto_refresh_options(tmp_path, interval):
     db = lancedb.connect(tmp_path)
@@ -5635,6 +5641,7 @@ def test_auto_refresh_options_require_computed_columns(tmp_path):
         table.add_columns({"doubled": "x * 2"}, auto_refresh_enabled=True)
 
 
+@pytest.mark.experimental_functions
 @pytest.mark.asyncio
 async def test_async_computed_auto_refresh_uses_server_interval(tmp_path):
     db = await lancedb.connect_async(tmp_path)