import pytest import scipy.constants as sc from scipy.conftest import array_api_compatible from scipy._lib._array_api import xp_assert_equal, xp_assert_close pytestmark = [array_api_compatible, pytest.mark.usefixtures("skip_xp_backends")] skip_xp_backends = pytest.mark.skip_xp_backends class TestConvertTemperature: def test_convert_temperature(self, xp): xp_assert_equal(sc.convert_temperature(xp.asarray(32.), 'f', 'Celsius'), xp.asarray(0.0)) xp_assert_equal(sc.convert_temperature(xp.asarray([0., 0.]), 'celsius', 'Kelvin'), xp.asarray([273.15, 273.15])) xp_assert_equal(sc.convert_temperature(xp.asarray([0., 0.]), 'kelvin', 'c'), xp.asarray([-273.15, -273.15])) xp_assert_equal(sc.convert_temperature(xp.asarray([32., 32.]), 'f', 'k'), xp.asarray([273.15, 273.15])) xp_assert_equal(sc.convert_temperature(xp.asarray([273.15, 273.15]), 'kelvin', 'F'), xp.asarray([32., 32.])) xp_assert_equal(sc.convert_temperature(xp.asarray([0., 0.]), 'C', 'fahrenheit'), xp.asarray([32., 32.])) xp_assert_close(sc.convert_temperature(xp.asarray([0., 0.], dtype=xp.float64), 'c', 'r'), xp.asarray([491.67, 491.67], dtype=xp.float64), rtol=0., atol=1e-13) xp_assert_close(sc.convert_temperature(xp.asarray([491.67, 491.67], dtype=xp.float64), 'Rankine', 'C'), xp.asarray([0., 0.], dtype=xp.float64), rtol=0., atol=1e-13) xp_assert_close(sc.convert_temperature(xp.asarray([491.67, 491.67], dtype=xp.float64), 'r', 'F'), xp.asarray([32., 32.], dtype=xp.float64), rtol=0., atol=1e-13) xp_assert_close(sc.convert_temperature(xp.asarray([32., 32.], dtype=xp.float64), 'fahrenheit', 'R'), xp.asarray([491.67, 491.67], dtype=xp.float64), rtol=0., atol=1e-13) xp_assert_close(sc.convert_temperature(xp.asarray([273.15, 273.15], dtype=xp.float64), 'K', 'R'), xp.asarray([491.67, 491.67], dtype=xp.float64), rtol=0., atol=1e-13) xp_assert_close(sc.convert_temperature(xp.asarray([491.67, 0.], dtype=xp.float64), 'rankine', 'kelvin'), xp.asarray([273.15, 0.], dtype=xp.float64), rtol=0., atol=1e-13) @skip_xp_backends(np_only=True, reasons=['Python list input uses NumPy backend']) def test_convert_temperature_array_like(self): xp_assert_close(sc.convert_temperature([491.67, 0.], 'rankine', 'kelvin'), [273.15, 0.], rtol=0., atol=1e-13) @skip_xp_backends(np_only=True, reasons=['Python int input uses NumPy backend']) def test_convert_temperature_errors(self, xp): with pytest.raises(NotImplementedError, match="old_scale="): sc.convert_temperature(1, old_scale="cheddar", new_scale="kelvin") with pytest.raises(NotImplementedError, match="new_scale="): sc.convert_temperature(1, old_scale="kelvin", new_scale="brie") class TestLambdaToNu: def test_lambda_to_nu(self, xp): xp_assert_equal(sc.lambda2nu(xp.asarray([sc.speed_of_light, 1])), xp.asarray([1, sc.speed_of_light])) @skip_xp_backends(np_only=True, reasons=['Python list input uses NumPy backend']) def test_lambda_to_nu_array_like(self, xp): xp_assert_equal(sc.lambda2nu([sc.speed_of_light, 1]), [1, sc.speed_of_light]) class TestNuToLambda: def test_nu_to_lambda(self, xp): xp_assert_equal(sc.nu2lambda(xp.asarray([sc.speed_of_light, 1])), xp.asarray([1, sc.speed_of_light])) @skip_xp_backends(np_only=True, reasons=['Python list input uses NumPy backend']) def test_nu_to_lambda_array_like(self, xp): xp_assert_equal(sc.nu2lambda([sc.speed_of_light, 1]), [1, sc.speed_of_light])