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__init__.py
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__pycache__
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src
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test_abstract_interface.py
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test_array_from_pyobj.py
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test_assumed_shape.py
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test_block_docstring.py
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test_callback.py
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test_character.py
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test_common.py
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test_compile_function.py
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test_crackfortran.py
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test_docs.py
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test_f2cmap.py
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test_f2py2e.py
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test_kind.py
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test_mixed.py
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test_module_doc.py
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test_parameter.py
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test_quoted_character.py
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test_regression.py
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test_return_character.py
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test_return_complex.py
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test_return_integer.py
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test_return_logical.py
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test_return_real.py
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test_semicolon_split.py
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test_size.py
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test_string.py
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test_symbolic.py
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test_value_attrspec.py
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util.py
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Editing: test_parameter.py
Close
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])