Updated tests and doc/requirements

rmj3197 · Apr 29, 2024 · f2fe8de · f2fe8de
1 parent 4f0648a
commit f2fe8de
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Showing 3 changed files with 20 additions and 7 deletions.
diff --git a/QuadratiK/ui/pages/3_K_Sample_Test.py b/QuadratiK/ui/pages/3_K_Sample_Test.py
@@ -109,7 +109,15 @@ def run_ksample_test(h_val, num_iter, b, X, y):
                 k_samp_test.vn_h0_rejected_,
             ]
             res = res.set_axis(
-                ["Test Type", "Un Test Statistic", "Un Critical Value", "Un Reject H0","Vn Test Statistic", "Vn Critical Value", "Vn Reject H0"]
+                [
+                    "Test Type",
+                    "Un Test Statistic",
+                    "Un Critical Value",
+                    "Un Reject H0",
+                    "Vn Test Statistic",
+                    "Vn Critical Value",
+                    "Vn Reject H0",
+                ]
             )
             st.table(res)
             csv_res = res.to_csv().encode()

diff --git a/doc/requirements.txt b/doc/requirements.txt
@@ -4,4 +4,4 @@ sphinx-autobuild>=2021.0
 sphinx-book-theme>=1.0
 nbsphinx>0.9
 ipykernel
-QuadratiK
+git+https://github.com/rmj3197/QuadratiK.git
diff --git a/tests/test_kernel_test.py b/tests/test_kernel_test.py
@@ -24,13 +24,16 @@ def test_normality(self):
         normality_test_numpy = KernelTest(h=0.5, random_state=42).test(x)
         normality_test_dataframe = KernelTest(h=0.5, random_state=42).test(dataframe_x)
         self.assertFalse(normality_test_numpy.un_h0_rejected_)
-        self.assertTrue(isinstance(normality_test_numpy.un_test_statistic_, (int, float)))
+        self.assertTrue(
+            isinstance(normality_test_numpy.un_test_statistic_, (int, float))
+        )
         self.assertFalse(normality_test_dataframe.un_h0_rejected_)
         self.assertTrue(
             isinstance(normality_test_dataframe.un_test_statistic_, (int, float))
         )
         self.assertEqual(
-            normality_test_numpy.un_h0_rejected_, normality_test_dataframe.un_h0_rejected_
+            normality_test_numpy.un_h0_rejected_,
+            normality_test_dataframe.un_h0_rejected_,
         )
         self.assertEqual(
             normality_test_numpy.un_test_statistic_,
@@ -95,19 +98,21 @@ def test_ksample(self):
             h=1.5, method="subsampling", b=0.5, random_state=42
         ).test(x, y)
         self.assertFalse(k_sample_test.un_h0_rejected_)
-        self.assertTrue(isinstance(k_sample_test.un_test_statistic_, np.ndarray))
+        self.assertTrue(isinstance(k_sample_test.un_test_statistic_,(int,float)))
 
         k_sample_test_without_h = KernelTest(
             method="subsampling", b=0.5, random_state=42, alternative="location"
         ).test(x, y)
         self.assertFalse(k_sample_test_without_h.un_h0_rejected_)
-        self.assertTrue(isinstance(k_sample_test_without_h.un_test_statistic_, np.ndarray))
+        self.assertTrue(
+            isinstance(k_sample_test_without_h.un_test_statistic_,(int,float))
+        )
 
         k_sample_test_1d = KernelTest(
             h=1.5, method="subsampling", b=0.5, random_state=42
         ).test(x_1d, y_dataframe)
         self.assertFalse(k_sample_test_1d.un_h0_rejected_)
-        self.assertTrue(isinstance(k_sample_test_1d.un_test_statistic_, np.ndarray))
+        self.assertTrue(isinstance(k_sample_test_1d.un_test_statistic_, (int,float)))
 
         with self.assertRaises(ValueError):
             KernelTest(h=1.5, method="subsampling", b=0.5, random_state=42).test(