separate tests

tests/connect/test_limit_simple.py

@@ -0,0 +1,14 @@
+from __future__ import annotations
+
+
+def test_range_first(spark_session):
+    spark_range = spark_session.range(10)
+    first_row = spark_range.first()
+    assert first_row["id"] == 0, "First row should have id=0"
+
+
+def test_range_limit(spark_session):
+    spark_range = spark_session.range(10)
+    limited_df = spark_range.limit(5).toPandas()
+    assert len(limited_df) == 5, "Limited DataFrame should have 5 rows"
+    assert list(limited_df["id"]) == list(range(5)), "Limited DataFrame should contain values 0-4"

tests/connect/test_range_simple.py

@@ -12,16 +12,3 @@ def test_range_operation(spark_session):
     # Verify the DataFrame has expected values
     assert len(pandas_df) == 10, "DataFrame should have 10 rows"
     assert list(pandas_df["id"]) == list(range(10)), "DataFrame should contain values 0-9"
-
-
-def test_range_first(spark_session):
-    spark_range = spark_session.range(10)
-    first_row = spark_range.first()
-    assert first_row["id"] == 0, "First row should have id=0"
-
-
-def test_range_limit(spark_session):
-    spark_range = spark_session.range(10)
-    limited_df = spark_range.limit(5).toPandas()
-    assert len(limited_df) == 5, "Limited DataFrame should have 5 rows"
-    assert list(limited_df["id"]) == list(range(5)), "Limited DataFrame should contain values 0-4"