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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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"""Test the `basic` module.""" |
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import numpy as np |
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from metpy.calc import (coriolis_parameter, get_wind_components, get_wind_dir, get_wind_speed, |
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heat_index, height_to_pressure_std, pressure_to_height_std, windchill) |
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from metpy.testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal |
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from metpy.units import units |
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def test_wind_comps_basic(): |
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"""Test the basic wind component calculation.""" |
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speed = np.array([4, 4, 4, 4, 25, 25, 25, 25, 10.]) * units.mph |
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dirs = np.array([0, 45, 90, 135, 180, 225, 270, 315, 360]) * units.deg |
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s2 = np.sqrt(2.) |
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u, v = get_wind_components(speed, dirs) |
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true_u = np.array([0, -4 / s2, -4, -4 / s2, 0, 25 / s2, 25, 25 / s2, 0]) * units.mph |
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true_v = np.array([-4, -4 / s2, 0, 4 / s2, 25, 25 / s2, 0, -25 / s2, -10]) * units.mph |
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assert_array_almost_equal(true_u, u, 4) |
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assert_array_almost_equal(true_v, v, 4) |
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def test_wind_comps_scalar(): |
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"""Test wind components calculation with scalars.""" |
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u, v = get_wind_components(8 * units('m/s'), 150 * units.deg) |
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assert_almost_equal(u, -4 * units('m/s'), 3) |
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assert_almost_equal(v, 6.9282 * units('m/s'), 3) |
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def test_speed(): |
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"""Test calculating wind speed.""" |
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u = np.array([4., 2., 0., 0.]) * units('m/s') |
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v = np.array([0., 2., 4., 0.]) * units('m/s') |
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speed = get_wind_speed(u, v) |
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s2 = np.sqrt(2.) |
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true_speed = np.array([4., 2 * s2, 4., 0.]) * units('m/s') |
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assert_array_almost_equal(true_speed, speed, 4) |
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def test_dir(): |
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"""Test calculating wind direction.""" |
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u = np.array([4., 2., 0., 0.]) * units('m/s') |
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v = np.array([0., 2., 4., 0.]) * units('m/s') |
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direc = get_wind_dir(u, v) |
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true_dir = np.array([270., 225., 180., 270.]) * units.deg |
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assert_array_almost_equal(true_dir, direc, 4) |
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def test_speed_dir_roundtrip(): |
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"""Test round-tripping between speed/direction and components.""" |
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# Test each quadrant of the whole circle |
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wspd = np.array([15., 5., 2., 10.]) * units.meters / units.seconds |
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wdir = np.array([160., 30., 225., 350.]) * units.degrees |
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u, v = get_wind_components(wspd, wdir) |
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wdir_out = get_wind_dir(u, v) |
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wspd_out = get_wind_speed(u, v) |
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assert_array_almost_equal(wspd, wspd_out, 4) |
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assert_array_almost_equal(wdir, wdir_out, 4) |
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def test_scalar_speed(): |
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"""Test wind speed with scalars.""" |
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s = get_wind_speed(-3. * units('m/s'), -4. * units('m/s')) |
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assert_almost_equal(s, 5. * units('m/s'), 3) |
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def test_scalar_dir(): |
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"""Test wind direction with scalars.""" |
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d = get_wind_dir(3. * units('m/s'), 4. * units('m/s')) |
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assert_almost_equal(d, 216.870 * units.deg, 3) |
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def test_windchill_scalar(): |
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"""Test wind chill with scalars.""" |
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wc = windchill(-5 * units.degC, 35 * units('m/s')) |
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assert_almost_equal(wc, -18.9357 * units.degC, 0) |
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def test_windchill_basic(): |
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"""Test the basic wind chill calculation.""" |
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temp = np.array([40, -10, -45, 20]) * units.degF |
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speed = np.array([5, 55, 25, 15]) * units.mph |
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wc = windchill(temp, speed) |
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values = np.array([36, -46, -84, 6]) * units.degF |
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assert_array_almost_equal(wc, values, 0) |
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def test_windchill_kelvin(): |
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"""Test wind chill when given Kelvin temperatures.""" |
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wc = windchill(268.15 * units.kelvin, 35 * units('m/s')) |
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assert_almost_equal(wc, -18.9357 * units.degC, 0) |
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def test_windchill_invalid(): |
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"""Test windchill for values that should be masked.""" |
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temp = np.array([10, 51, 49, 60, 80, 81]) * units.degF |
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speed = np.array([4, 4, 3, 1, 10, 39]) * units.mph |
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wc = windchill(temp, speed) |
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# We don't care about the masked values |
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truth = np.array([2.6230789, np.nan, np.nan, np.nan, np.nan, np.nan]) * units.degF |
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mask = np.array([False, True, True, True, True, True]) |
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assert_array_almost_equal(truth, wc) |
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assert_array_equal(wc.mask, mask) |
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def test_windchill_undefined_flag(): |
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"""Test whether masking values for windchill can be disabled.""" |
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temp = units.Quantity(np.ma.array([49, 50, 49, 60, 80, 81]), units.degF) |
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speed = units.Quantity(([4, 4, 3, 1, 10, 39]), units.mph) |
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wc = windchill(temp, speed, mask_undefined=False) |
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mask = np.array([False] * 6) |
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assert_array_equal(wc.mask, mask) |
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def test_windchill_face_level(): |
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"""Test windchill using the face_level flag.""" |
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temp = np.array([20, 0, -20, -40]) * units.degF |
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speed = np.array([15, 30, 45, 60]) * units.mph |
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wc = windchill(temp, speed, face_level_winds=True) |
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values = np.array([3, -30, -64, -98]) * units.degF |
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assert_array_almost_equal(wc, values, 0) |
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def test_heat_index_basic(): |
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"""Test the basic heat index calculation.""" |
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temp = np.array([80, 88, 92, 110]) * units.degF |
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rh = np.array([40, 100, 70, 40]) * units.percent |
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hi = heat_index(temp, rh) |
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values = np.array([80, 121, 112, 136]) * units.degF |
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assert_array_almost_equal(hi, values, 0) |
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def test_heat_index_scalar(): |
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"""Test heat index using scalars.""" |
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hi = heat_index(96 * units.degF, 65 * units.percent) |
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assert_almost_equal(hi, 121 * units.degF, 0) |
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def test_heat_index_invalid(): |
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"""Test heat index for values that should be masked.""" |
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temp = np.array([80, 88, 92, 79, 30, 81]) * units.degF |
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rh = np.array([40, 39, 2, 70, 50, 39]) * units.percent |
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hi = heat_index(temp, rh) |
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mask = np.array([False, True, True, True, True, True]) |
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assert_array_equal(hi.mask, mask) |
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def test_heat_index_undefined_flag(): |
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"""Test whether masking values can be disabled for heat index.""" |
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temp = units.Quantity(np.ma.array([80, 88, 92, 79, 30, 81]), units.degF) |
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rh = np.ma.array([40, 39, 2, 70, 50, 39]) * units.percent |
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hi = heat_index(temp, rh, mask_undefined=False) |
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mask = np.array([False] * 6) |
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assert_array_equal(hi.mask, mask) |
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def test_heat_index_units(): |
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"""Test units coming out of heat index.""" |
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temp = units.Quantity([35., 20.], units.degC) |
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rh = 70 * units.percent |
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hi = heat_index(temp, rh) |
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assert_almost_equal(hi.to('degC'), units.Quantity([50.3405, np.nan], units.degC), 4) |
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def test_heat_index_ratio(): |
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"""Test giving humidity as number [0, 1] to heat index.""" |
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temp = units.Quantity([35., 20.], units.degC) |
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rh = 0.7 |
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hi = heat_index(temp, rh) |
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assert_almost_equal(hi.to('degC'), units.Quantity([50.3405, np.nan], units.degC), 4) |
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# class TestIrrad(object): |
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# def test_basic(self): |
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# 'Test the basic solar irradiance calculation.' |
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# from datetime import date |
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# d = date(2008, 9, 28) |
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# lat = 35.25 |
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# hours = np.linspace(6,18,10) |
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# s = solar_irradiance(lat, d, hours) |
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# values = np.array([0., 344.1, 682.6, 933.9, 1067.6, 1067.6, 933.9, |
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# 682.6, 344.1, 0.]) |
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# assert_array_almost_equal(s, values, 1) |
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# def test_scalar(self): |
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# from datetime import date |
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# d = date(2008, 9, 28) |
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# lat = 35.25 |
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# hour = 9.5 |
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# s = solar_irradiance(lat, d, hour) |
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# assert_almost_equal(s, 852.1, 1) |
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# def test_invalid(self): |
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# 'Test for values that should be masked.' |
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# from datetime import date |
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# d = date(2008, 9, 28) |
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# lat = 35.25 |
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# hours = np.linspace(0,22,12) |
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# s = solar_irradiance(lat, d, hours) |
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# mask = np.array([ True, True, True, True, False, False, False, |
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# False, False, True, True, True]) |
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# assert_array_equal(s.mask, mask) |
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def test_pressure_to_heights_basic(): |
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"""Test basic pressure to height calculation for standard atmosphere.""" |
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pressures = np.array([975.2, 987.5, 956., 943.]) * units.mbar |
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heights = pressure_to_height_std(pressures) |
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values = np.array([321.5, 216.5, 487.6, 601.7]) * units.meter |
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assert_almost_equal(heights, values, 1) |
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def test_heights_to_pressure_basic(): |
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"""Test basic height to pressure calculation for standard atmosphere.""" |
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heights = np.array([321.5, 216.5, 487.6, 601.7]) * units.meter |
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pressures = height_to_pressure_std(heights) |
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values = np.array([975.2, 987.5, 956., 943.]) * units.mbar |
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assert_almost_equal(pressures, values, 1) |
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def test_pressure_to_heights_units(): |
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"""Test that passing non-mbar units works.""" |
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assert_almost_equal(pressure_to_height_std(29 * units.inHg), 262.859 * units.meter, 3) |
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def test_coriolis_force(): |
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"""Test basic coriolis force calculation.""" |
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lat = np.array([-90., -30., 0., 30., 90.]) * units.degrees |
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cor = coriolis_parameter(lat) |
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values = np.array([-1.4584232E-4, -.72921159E-4, 0, .72921159E-4, |
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1.4584232E-4]) * units('s^-1') |
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assert_almost_equal(cor, values, 7) |
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Unidata /
MetPy
