£Á°èZ¨Ä…–K§‚«“ô4“ÒÙ´dîfUÙÃÅ WKbyʦ•êŽ…È®FÒ¿ÊÎóCozá¬S@6{Í:›œêZÌ:Š•_%:¢¾¾~;‘Ã~芩ÊǍí`ÔÑ©ú뙵'5I¿fš×WO%ø9¾«¾DK|€ùÍD”Ýs]nHÕ¶êםӼ㞪éUWŸÈË%DÒÕ¬ï‘]/Åcx ‰ï2ß]ä6G[]S£Ôϯrs{úëóµmÒï#UQxo·õÞCe]"±/aÙ&Eã4ú9Jé_ÞåëdãöKë)AÞ ¯¹ægƒÛowЍø^d™ý½ßB7áyMä9ÜÖUã !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! import os import pytest import numpy as np from . import util class TestParameters(util.F2PyTest): # Check that intent(in out) translates as intent(inout) sources = [ util.getpath("tests", "src", "parameter", "constant_real.f90"), util.getpath("tests", "src", "parameter", "constant_integer.f90"), util.getpath("tests", "src", "parameter", "constant_both.f90"), util.getpath("tests", "src", "parameter", "constant_compound.f90"), util.getpath("tests", "src", "parameter", "constant_non_compound.f90"), ] @pytest.mark.slow def test_constant_real_single(self): # non-contiguous should raise error x = np.arange(6, dtype=np.float32)[::2] pytest.raises(ValueError, self.module.foo_single, x) # check values with contiguous array x = np.arange(3, dtype=np.float32) self.module.foo_single(x) assert np.allclose(x, [0 + 1 + 2 * 3, 1, 2]) @pytest.mark.slow def test_constant_real_double(self): # non-contiguous should raise error x = np.arange(6, dtype=np.float64)[::2] pytest.raises(ValueError, self.module.foo_double, x) # check values with contiguous array x = np.arange(3, dtype=np.float64) self.module.foo_double(x) assert np.allclose(x, [0 + 1 + 2 * 3, 1, 2]) @pytest.mark.slow def test_constant_compound_int(self): # non-contiguous should raise error x = np.arange(6, dtype=np.int32)[::2] pytest.raises(ValueError, self.module.foo_compound_int, x) # check values with contiguous array x = np.arange(3, dtype=np.int32) self.module.foo_compound_int(x) assert np.allclose(x, [0 + 1 + 2 * 6, 1, 2]) @pytest.mark.slow def test_constant_non_compound_int(self): # check values x = np.arange(4, dtype=np.int32) self.module.foo_non_compound_int(x) assert np.allclose(x, [0 + 1 + 2 + 3 * 4, 1, 2, 3]) @pytest.mark.slow def test_constant_integer_int(self): # non-contiguous should raise error x = np.arange(6, dtype=np.int32)[::2] pytest.raises(ValueError, self.module.foo_int, x) # check values with contiguous array x = np.arange(3, dtype=np.int32) self.module.foo_int(x) assert np.allclose(x, [0 + 1 + 2 * 3, 1, 2]) @pytest.mark.slow def test_constant_integer_long(self): # non-contiguous should raise error x = np.arange(6, dtype=np.int64)[::2] pytest.raises(ValueError, self.module.foo_long, x) # check values with contiguous array x = np.arange(3, dtype=np.int64) self.module.foo_long(x) assert np.allclose(x, [0 + 1 + 2 * 3, 1, 2]) @pytest.mark.slow def test_constant_both(self): # non-contiguous should raise error x = np.arange(6, dtype=np.float64)[::2] pytest.raises(ValueError, self.module.foo, x) # check values with contiguous array x = np.arange(3, dtype=np.float64) self.module.foo(x) assert np.allclose(x, [0 + 1 * 3 * 3 + 2 * 3 * 3, 1 * 3, 2 * 3]) @pytest.mark.slow def test_constant_no(self): # non-contiguous should raise error x = np.arange(6, dtype=np.float64)[::2] pytest.raises(ValueError, self.module.foo_no, x) # check values with contiguous array x = np.arange(3, dtype=np.float64) self.module.foo_no(x) assert np.allclose(x, [0 + 1 * 3 * 3 + 2 * 3 * 3, 1 * 3, 2 * 3]) @pytest.mark.slow def test_constant_sum(self): # non-contiguous should raise error x = np.arange(6, dtype=np.float64)[::2] pytest.raises(ValueError, self.module.foo_sum, x) # check values with contiguous array x = np.arange(3, dtype=np.float64) self.module.foo_sum(x) assert np.allclose(x, [0 + 1 * 3 * 3 + 2 * 3 * 3, 1 * 3, 2 * 3])