Merge pull request #499 from VincentRouvreau/sklearn_cubical

Scikit learn like cubical interface

1 files changed, 39 insertions, 0 deletions

diff --git a/src/python/test/test_representations_preprocessing.py b/src/python/test/test_representations_preprocessing.py
new file mode 100644
index 00000000..838cf30c
--- /dev/null
+++ b/src/python/test/test_representations_preprocessing.py
@@ -0,0 +1,39 @@
+""" This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+    See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+    Author(s):       Vincent Rouvreau
+
+    Copyright (C) 2021 Inria
+
+    Modification(s):
+      - YYYY/MM Author: Description of the modification
+"""
+
+from gudhi.representations.preprocessing import DimensionSelector
+import numpy as np
+import pytest
+
+H0_0 = np.array([0.0, 0.0])
+H1_0 = np.array([1.0, 0.0])
+H0_1 = np.array([0.0, 1.0])
+H1_1 = np.array([1.0, 1.0])
+H0_2 = np.array([0.0, 2.0])
+H1_2 = np.array([1.0, 2.0])
+
+
+def test_dimension_selector():
+    X = [[H0_0, H1_0], [H0_1, H1_1], [H0_2, H1_2]]
+    ds = DimensionSelector(index=0)
+    h0 = ds.fit_transform(X)
+    np.testing.assert_array_equal(h0[0], H0_0)
+    np.testing.assert_array_equal(h0[1], H0_1)
+    np.testing.assert_array_equal(h0[2], H0_2)
+
+    ds = DimensionSelector(index=1)
+    h1 = ds.fit_transform(X)
+    np.testing.assert_array_equal(h1[0], H1_0)
+    np.testing.assert_array_equal(h1[1], H1_1)
+    np.testing.assert_array_equal(h1[2], H1_2)
+
+    ds = DimensionSelector(index=2)
+    with pytest.raises(IndexError):
+        h2 = ds.fit_transform([[H0_0, H1_0], [H0_1, H1_1], [H0_2, H1_2]])