Apply ruff format under the new py39 target

Bumping ruff target-version from py38 to py39 made the formatter prefer
parenthesized context managers (a 3.9-PEG-parser feature). The CI lint
job picked up the resulting drift in tests/waterdata_filters_test.py;
apply the formatter to bring it back in line.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

Author: thodson-usgs

tests/waterdata_filters_test.py

@@ -190,14 +190,18 @@ def fake_walk_pages(*_args, **_kwargs):
         frame = pd.DataFrame({"id": [f"chunk-{idx}"], "value": [idx]})
         return frame, _fake_response()
 
-    with mock.patch(
-        "dataretrieval.waterdata.utils._construct_api_requests",
-        side_effect=fake_construct_api_requests,
-    ), mock.patch(
-        "dataretrieval.waterdata.utils._walk_pages", side_effect=fake_walk_pages
-    ), mock.patch(
-        "dataretrieval.waterdata.filters._effective_filter_budget",
-        return_value=_CQL_FILTER_CHUNK_LEN,
+    with (
+        mock.patch(
+            "dataretrieval.waterdata.utils._construct_api_requests",
+            side_effect=fake_construct_api_requests,
+        ),
+        mock.patch(
+            "dataretrieval.waterdata.utils._walk_pages", side_effect=fake_walk_pages
+        ),
+        mock.patch(
+            "dataretrieval.waterdata.filters._effective_filter_budget",
+            return_value=_CQL_FILTER_CHUNK_LEN,
+        ),
     ):
         df, _ = get_continuous(
             monitoring_location_id="USGS-07374525",
@@ -239,14 +243,18 @@ def fake_walk_pages(*_args, **_kwargs):
         frame = pd.DataFrame({"id": ["shared-feature"], "value": [1]})
         return frame, _fake_response()
 
-    with mock.patch(
-        "dataretrieval.waterdata.utils._construct_api_requests",
-        return_value=_fake_prepared_request(),
-    ), mock.patch(
-        "dataretrieval.waterdata.utils._walk_pages", side_effect=fake_walk_pages
-    ), mock.patch(
-        "dataretrieval.waterdata.filters._effective_filter_budget",
-        return_value=_CQL_FILTER_CHUNK_LEN,
+    with (
+        mock.patch(
+            "dataretrieval.waterdata.utils._construct_api_requests",
+            return_value=_fake_prepared_request(),
+        ),
+        mock.patch(
+            "dataretrieval.waterdata.utils._walk_pages", side_effect=fake_walk_pages
+        ),
+        mock.patch(
+            "dataretrieval.waterdata.filters._effective_filter_budget",
+            return_value=_CQL_FILTER_CHUNK_LEN,
+        ),
     ):
         df, _ = get_continuous(
             monitoring_location_id="USGS-07374525",
@@ -293,14 +301,18 @@ def fake_walk_pages(*_args, **_kwargs):
             )
         return frame, _fake_response()
 
-    with mock.patch(
-        "dataretrieval.waterdata.utils._construct_api_requests",
-        return_value=_fake_prepared_request(),
-    ), mock.patch(
-        "dataretrieval.waterdata.utils._walk_pages", side_effect=fake_walk_pages
-    ), mock.patch(
-        "dataretrieval.waterdata.filters._effective_filter_budget",
-        return_value=_CQL_FILTER_CHUNK_LEN,
+    with (
+        mock.patch(
+            "dataretrieval.waterdata.utils._construct_api_requests",
+            return_value=_fake_prepared_request(),
+        ),
+        mock.patch(
+            "dataretrieval.waterdata.utils._walk_pages", side_effect=fake_walk_pages
+        ),
+        mock.patch(
+            "dataretrieval.waterdata.filters._effective_filter_budget",
+            return_value=_CQL_FILTER_CHUNK_LEN,
+        ),
     ):
         df, _ = get_continuous(
             monitoring_location_id="USGS-07374525",
@@ -434,14 +446,17 @@ def fake_construct_api_requests(**kwargs):
         sent_filters.append(kwargs.get("filter"))
         return _fake_prepared_request()
 
-    with mock.patch(
-        "dataretrieval.waterdata.utils._construct_api_requests",
-        side_effect=fake_construct_api_requests,
-    ), mock.patch(
-        "dataretrieval.waterdata.utils._walk_pages",
-        return_value=(
-            pd.DataFrame({"id": ["row-1"], "value": [1]}),
-            _fake_response(),
+    with (
+        mock.patch(
+            "dataretrieval.waterdata.utils._construct_api_requests",
+            side_effect=fake_construct_api_requests,
+        ),
+        mock.patch(
+            "dataretrieval.waterdata.utils._walk_pages",
+            return_value=(
+                pd.DataFrame({"id": ["row-1"], "value": [1]}),
+                _fake_response(),
+            ),
         ),
     ):
         get_continuous(