Mark derived metric tests for smoke and full

Author: izzet

tests/test_set_layer_metrics.py

@@ -1,10 +1,13 @@
 import numpy as np
 import pandas as pd
+import pytest
 from betterset import BetterSet as S
 
 from dftracer.analyzer.analyzer import Analyzer
 from dftracer.analyzer.utils.dask_agg import unique_set_flatten
 
+pytestmark = [pytest.mark.smoke, pytest.mark.full]
+
 
 DERIVED_METRICS = {
     "read": "io_cat == 1",

tests/utils/test_collection_utils.py

@@ -1,8 +1,11 @@
 import pandas as pd
+import pytest
 from betterset import BetterSet as S
 
 from dftracer.analyzer.utils.collection_utils import is_set_like_series
 
+pytestmark = [pytest.mark.smoke, pytest.mark.full]
+
 
 def test_is_set_like_series_detects_betterset_values() -> None:
     series = pd.Series([None, S(["a"]), S(["b"])], dtype="object")

tests/utils/test_pandas_utils.py

@@ -1,7 +1,10 @@
 import pandas as pd
+import pytest
 
 from dftracer.analyzer.utils.pandas_utils import to_nullable_numeric
 
+pytestmark = [pytest.mark.smoke, pytest.mark.full]
+
 
 def test_to_nullable_numeric_preserves_integer_nullability() -> None:
     series = pd.Series([1, 2, 3], dtype="int64")