Update tests to use pd.Series for confidence intervals

Author: christopher-wild

tests/testing_tests/test_causal_test_outcome.py

@@ -151,7 +151,7 @@ def test_Negative_fail_ci(self):
         ctr = CausalTestResult(
             estimator=self.estimator,
             test_value=test_value,
-            confidence_intervals=[-1, 1],
+            confidence_intervals=[pd.Series(-1), pd.Series(1)],
             effect_modifier_configuration=None,
         )
         ev = Negative()
@@ -173,7 +173,7 @@ def test_exactValue_pass_ci(self):
         ctr = CausalTestResult(
             estimator=self.estimator,
             test_value=test_value,
-            confidence_intervals=[4, 6],
+            confidence_intervals=[pd.Series(4), pd.Series(6)],
             effect_modifier_configuration=None,
         )
         ev = ExactValue(5, 0.1)
@@ -199,7 +199,7 @@ def test_invalid(self):
         ctr = CausalTestResult(
             estimator=self.estimator,
             test_value=test_value,
-            confidence_intervals=[4.8, 6.7],
+            confidence_intervals=[pd.Series(4.8), pd.Series(6.7)],
             effect_modifier_configuration=None,
         )
         with self.assertRaises(ValueError):
@@ -216,7 +216,7 @@ def test_someEffect_pass_coefficient(self):
         ctr = CausalTestResult(
             estimator=self.estimator,
             test_value=test_value,
-            confidence_intervals=[4.8, 6.7],
+            confidence_intervals=[pd.Series(4.8), pd.Series(6.7)],
             effect_modifier_configuration=None,
         )
         self.assertTrue(SomeEffect().apply(ctr))
@@ -227,7 +227,7 @@ def test_someEffect_pass_ate(self):
         ctr = CausalTestResult(
             estimator=self.estimator,
             test_value=test_value,
-            confidence_intervals=[4.8, 6.7],
+            confidence_intervals=[pd.Series(4.8), pd.Series(6.7)],
             effect_modifier_configuration=None,
         )
         self.assertTrue(SomeEffect().apply(ctr))
@@ -238,7 +238,7 @@ def test_someEffect_pass_rr(self):
         ctr = CausalTestResult(
             estimator=self.estimator,
             test_value=test_value,
-            confidence_intervals=[4.8, 6.7],
+            confidence_intervals=[pd.Series(4.8), pd.Series(6.7)],
             effect_modifier_configuration=None,
         )
         self.assertTrue(SomeEffect().apply(ctr))
@@ -249,7 +249,7 @@ def test_someEffect_fail(self):
         ctr = CausalTestResult(
             estimator=self.estimator,
             test_value=test_value,
-            confidence_intervals=[-0.1, 0.2],
+            confidence_intervals=[pd.Series(-0.1), pd.Series(0.2)],
             effect_modifier_configuration=None,
         )
         self.assertFalse(SomeEffect().apply(ctr))
@@ -260,7 +260,7 @@ def test_someEffect_str(self):
         ctr = CausalTestResult(
             estimator=self.estimator,
             test_value=test_value,
-            confidence_intervals=[-0.1, 0.2],
+            confidence_intervals=[pd.Series(-0.1), pd.Series(0.2)],
             effect_modifier_configuration=None,
         )
         ev = SomeEffect()
@@ -284,7 +284,7 @@ def test_someEffect_dict(self):
         ctr = CausalTestResult(
             estimator=self.estimator,
             test_value=test_value,
-            confidence_intervals=[-0.1, 0.2],
+            confidence_intervals=[pd.Series(-0.1), pd.Series(0.2)],
             effect_modifier_configuration=None,
         )
         ev = SomeEffect()