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# Copyright (c) 2008-2015 MetPy Developers. |
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# Distributed under the terms of the BSD 3-Clause License. |
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# SPDX-License-Identifier: BSD-3-Clause |
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"""Tests for `calc.tools` module.""" |
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import numpy as np |
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import pytest |
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from metpy.calc import find_intersections, nearest_intersection_idx, resample_nn_1d |
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from metpy.testing import assert_array_almost_equal, assert_array_equal |
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def test_resample_nn(): |
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"""Test 1d nearest neighbor functionality.""" |
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a = np.arange(5.) |
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b = np.array([2, 3.8]) |
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truth = np.array([2, 4]) |
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assert_array_equal(truth, resample_nn_1d(a, b)) |
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def test_nearest_intersection_idx(): |
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"""Test nearest index to intersection functionality.""" |
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x = np.linspace(5, 30, 17) |
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y1 = 3 * x**2 |
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y2 = 100 * x - 650 |
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truth = np.array([2, 12]) |
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assert_array_equal(truth, nearest_intersection_idx(y1, y2)) |
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intersection_directions = ['all', 'increasing', 'decreasing', 'decdreasing'] |
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@pytest.mark.parametrize('direction', intersection_directions) |
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def test_find_intersections(direction): |
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"""Test finding the intersection of two curves functionality.""" |
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x = np.linspace(5, 30, 17) |
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y1 = 3 * x**2 |
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y2 = 100 * x - 650 |
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# Note: Truth is what we will get with this sampling, not the mathematical intersection |
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if direction == 'all': |
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truth = np.array([[8.88, 24.44], |
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[238.84, 1794.53]]) |
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assert_array_almost_equal(truth, find_intersections(x, y1, y2, direction=direction), 2) |
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elif direction == 'increasing': |
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truth = np.array([[24.44], |
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[1794.53]]) |
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assert_array_almost_equal(truth, find_intersections(x, y1, y2, direction=direction), 2) |
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elif direction == 'decreasing': |
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truth = np.array([[8.88], |
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[238.84]]) |
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assert_array_almost_equal(truth, find_intersections(x, y1, y2, direction=direction), 2) |
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elif direction == 'decdreasing': |
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with pytest.raises(ValueError): |
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find_intersections(x, y1, y2, direction=direction) |
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def test_find_intersections_no_intersections(): |
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"""Test finding the intersection of two curves with no intersections.""" |
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x = np.linspace(5, 30, 17) |
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y1 = 3 * x + 0 |
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y2 = 5 * x + 5 |
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# Truth is what we will get with this sampling, |
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# not the mathematical intersection |
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truth = np.array([[], |
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[]]) |
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assert_array_equal(truth, find_intersections(x, y1, y2)) |
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Unidata /
MetPy
