test: consolidated column any value expectaitons tests

Author: ryanseq-gyg

.github/workflows/main.yaml

@@ -2,7 +2,6 @@ name: CI
 
 on:
   push:
-  pull_request:
   workflow_dispatch:  # Allow manual triggering
 
 permissions:

tests/expectations/aggregation/numerical_expectations/test_expect_column_median_between.py

@@ -74,7 +74,7 @@ def test_expectation_description():
 
 
 @pytest.mark.parametrize(
-    "df_type,data,min_value,max_value,should_succeed,expected_message",
+    "df_type, data, min_value, max_value, should_succeed, expected_message",
     [
         # Pandas success scenarios
         ("pandas", [20, 25, 30, 35], 25, 30, True, None),  # median = 27.5, basic success

tests/expectations/aggregation/numerical_expectations/test_expect_column_min_between.py

@@ -74,7 +74,7 @@ def test_expectation_description():
 
 
 @pytest.mark.parametrize(
-    "df_type,data,min_value,max_value,should_succeed,expected_message",
+    "df_type, data, min_value, max_value, should_succeed, expected_message",
     [
         # Pandas success scenarios
         ("pandas", [20, 25, 30, 35], 15, 25, True, None),  # min = 20, basic success

tests/expectations/aggregation/numerical_expectations/test_expect_column_quantile_between.py

@@ -80,7 +80,7 @@ def test_expectation_description():
 
 
 @pytest.mark.parametrize(
-    "df_type,data,quantile,min_value,max_value,should_succeed,expected_message",
+    "df_type, data, quantile, min_value, max_value, should_succeed, expected_message",
     [
         # Pandas success scenarios - various quantiles
         ("pandas", [20, 25, 30, 35], 0.0, 15, 25, True, None),  # min = 20