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@@ 138-151 (lines=14) @@
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| 135 |
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assert_array_equal(reduce_point_density(thin_point_data, radius=radius), truth) |
| 136 |
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| 137 |
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|
| 138 |
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@pytest.mark.parametrize('radius, truth', |
| 139 |
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[(2.0, np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 140 |
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0, 0, 0, 0, 0, 0, 0, 0, 0, 1], dtype=np.bool)), |
| 141 |
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(0.7, np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 142 |
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0, 0, 0, 1, 0, 0, 0, 0, 0, 1], dtype=np.bool)), |
| 143 |
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(0.3, np.array([1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, |
| 144 |
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0, 0, 0, 1, 0, 0, 0, 1, 0, 1], dtype=np.bool)), |
| 145 |
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(0.1, np.array([1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, |
| 146 |
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0, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=np.bool)) |
| 147 |
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]) |
| 148 |
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def test_reduce_point_density_priority(thin_point_data, radius, truth): |
| 149 |
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r"""Test that reduce_point_density works properly with priority.""" |
| 150 |
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key = np.array([8, 6, 2, 8, 6, 4, 4, 8, 8, 6, 3, 4, 3, 0, 7, 4, 3, 2, 3, 3, 9]) |
| 151 |
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assert_array_equal(reduce_point_density(thin_point_data, radius, key), truth) |
| 152 |
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| 153 |
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| 154 |
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def test_reduce_point_density_1d(): |
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@@ 123-135 (lines=13) @@
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| 120 |
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return xy |
| 121 |
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| 122 |
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| 123 |
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@pytest.mark.parametrize('radius, truth', |
| 124 |
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[(2.0, np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 125 |
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0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=np.bool)), |
| 126 |
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(1.0, np.array([1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, |
| 127 |
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0, 0, 0, 0, 0, 0, 0, 0, 1, 0], dtype=np.bool)), |
| 128 |
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(0.3, np.array([1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, |
| 129 |
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0, 0, 0, 0, 0, 1, 0, 0, 0, 0], dtype=np.bool)), |
| 130 |
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(0.1, np.array([1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, |
| 131 |
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0, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=np.bool)) |
| 132 |
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]) |
| 133 |
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def test_reduce_point_density(thin_point_data, radius, truth): |
| 134 |
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r"""Test that reduce_point_density works.""" |
| 135 |
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assert_array_equal(reduce_point_density(thin_point_data, radius=radius), truth) |
| 136 |
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| 137 |
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| 138 |
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@pytest.mark.parametrize('radius, truth', |
Unidata /
MetPy
