diff options
Diffstat (limited to 'numpy/lib/tests/test_function_base.py')
| -rw-r--r-- | numpy/lib/tests/test_function_base.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py index c800f8347..aa7637e03 100644 --- a/numpy/lib/tests/test_function_base.py +++ b/numpy/lib/tests/test_function_base.py @@ -536,7 +536,7 @@ class TestGradient(TestCase): '1910-10-12', '1910-12-12', '1912-12-12'], dtype='datetime64[D]') dx = np.array( - [-7, -3, 0, 31, 61, 396, 1066], + [-5, -3, 0, 31, 61, 396, 731], dtype='timedelta64[D]') assert_array_equal(gradient(x), dx) assert_(dx.dtype == np.dtype('timedelta64[D]')) @@ -547,7 +547,7 @@ class TestGradient(TestCase): [-5, -3, 10, 12, 61, 321, 300], dtype='timedelta64[D]') dx = np.array( - [-3, 7, 7, 25, 154, 119, -161], + [2, 7, 7, 25, 154, 119, -21], dtype='timedelta64[D]') assert_array_equal(gradient(x), dx) assert_(dx.dtype == np.dtype('timedelta64[D]')) @@ -561,7 +561,7 @@ class TestGradient(TestCase): dx = x[1] - x[0] y = 2 * x ** 3 + 4 * x ** 2 + 2 * x analytical = 6 * x ** 2 + 8 * x + 2 - num_error = np.abs((np.gradient(y, dx) / analytical) - 1) + num_error = np.abs((np.gradient(y, dx, edge_order=2) / analytical) - 1) assert_(np.all(num_error < 0.03) == True) |