diff options
Diffstat (limited to 'src/silx/math/test/test_interpolate.py')
| -rw-r--r-- | src/silx/math/test/test_interpolate.py | 39 |
1 files changed, 19 insertions, 20 deletions
diff --git a/src/silx/math/test/test_interpolate.py b/src/silx/math/test/test_interpolate.py index cff8bd9..a2b5455 100644 --- a/src/silx/math/test/test_interpolate.py +++ b/src/silx/math/test/test_interpolate.py @@ -31,6 +31,7 @@ __date__ = "11/07/2019" import unittest import numpy + try: from scipy.interpolate import interpn except ImportError: @@ -55,7 +56,8 @@ class TestInterp3d(ParametricTestCase): [numpy.arange(dim, dtype=data.dtype) for dim in data.shape], data, points, - method='linear') + method="linear", + ) def test_random_data(self): """Test interp3d with random data""" @@ -63,14 +65,14 @@ class TestInterp3d(ParametricTestCase): npoints = 10 ref_data = numpy.random.random((size, size, size)) - ref_points = numpy.random.random(npoints*3).reshape(npoints, 3) * (size -1) + ref_points = numpy.random.random(npoints * 3).reshape(npoints, 3) * (size - 1) for dtype in (numpy.float32, numpy.float64): data = ref_data.astype(dtype) points = ref_points.astype(dtype) ref_result = self.ref_interp3d(data, points) - for method in (u'linear', u'linear_omp'): + for method in ("linear", "linear_omp"): with self.subTest(method=method): result = interpolate.interp3d(data, points, method=method) self.assertTrue(numpy.allclose(ref_result, result)) @@ -80,29 +82,27 @@ class TestInterp3d(ParametricTestCase): data = numpy.ones((3, 3, 3), dtype=numpy.float64) data[0, 0, 0] = numpy.nan data[2, 2, 2] = numpy.inf - points = numpy.array([(0.5, 0.5, 0.5), - (1.5, 1.5, 1.5)]) + points = numpy.array([(0.5, 0.5, 0.5), (1.5, 1.5, 1.5)]) - for method in (u'linear', u'linear_omp'): + for method in ("linear", "linear_omp"): with self.subTest(method=method): - result = interpolate.interp3d( - data, points, method=method) + result = interpolate.interp3d(data, points, method=method) self.assertTrue(numpy.isnan(result[0])) self.assertTrue(result[1] == numpy.inf) def test_points_outside(self): """Test interp3d with points outside the volume""" data = numpy.ones((4, 4, 4), dtype=numpy.float64) - points = numpy.array([(-0.1, -0.1, -0.1), - (3.1, 3.1, 3.1), - (-0.1, 1., 1.), - (1., 1., 3.1)]) + points = numpy.array( + [(-0.1, -0.1, -0.1), (3.1, 3.1, 3.1), (-0.1, 1.0, 1.0), (1.0, 1.0, 3.1)] + ) - for method in (u'linear', u'linear_omp'): - for fill_value in (numpy.nan, 0., -1.): + for method in ("linear", "linear_omp"): + for fill_value in (numpy.nan, 0.0, -1.0): with self.subTest(method=method): result = interpolate.interp3d( - data, points, method=method, fill_value=fill_value) + data, points, method=method, fill_value=fill_value + ) if numpy.isnan(fill_value): self.assertTrue(numpy.all(numpy.isnan(result))) else: @@ -111,14 +111,13 @@ class TestInterp3d(ParametricTestCase): def test_integer_points(self): """Test interp3d with integer points coord""" data = numpy.arange(4**3, dtype=numpy.float64).reshape(4, 4, 4) - points = numpy.array([(0., 0., 0.), - (0., 0., 1.), - (2., 3., 0.), - (3., 3., 3.)]) + points = numpy.array( + [(0.0, 0.0, 0.0), (0.0, 0.0, 1.0), (2.0, 3.0, 0.0), (3.0, 3.0, 3.0)] + ) ref_result = data[tuple(points.T.astype(numpy.int32))] - for method in (u'linear', u'linear_omp'): + for method in ("linear", "linear_omp"): with self.subTest(method=method): result = interpolate.interp3d(data, points, method=method) self.assertTrue(numpy.allclose(ref_result, result)) |