Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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116 lines
3.8 KiB
116 lines
3.8 KiB
import os
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import pytest
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import numpy as np
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from numpy.testing import assert_raises, assert_equal
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from . import util
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def _path(*a):
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return os.path.join(*((os.path.dirname(__file__),) + a))
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class TestParameters(util.F2PyTest):
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# Check that intent(in out) translates as intent(inout)
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sources = [_path('src', 'parameter', 'constant_real.f90'),
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_path('src', 'parameter', 'constant_integer.f90'),
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_path('src', 'parameter', 'constant_both.f90'),
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_path('src', 'parameter', 'constant_compound.f90'),
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_path('src', 'parameter', 'constant_non_compound.f90'),
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]
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@pytest.mark.slow
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def test_constant_real_single(self):
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# non-contiguous should raise error
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x = np.arange(6, dtype=np.float32)[::2]
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assert_raises(ValueError, self.module.foo_single, x)
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# check values with contiguous array
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x = np.arange(3, dtype=np.float32)
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self.module.foo_single(x)
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assert_equal(x, [0 + 1 + 2*3, 1, 2])
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@pytest.mark.slow
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def test_constant_real_double(self):
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# non-contiguous should raise error
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x = np.arange(6, dtype=np.float64)[::2]
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assert_raises(ValueError, self.module.foo_double, x)
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# check values with contiguous array
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x = np.arange(3, dtype=np.float64)
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self.module.foo_double(x)
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assert_equal(x, [0 + 1 + 2*3, 1, 2])
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@pytest.mark.slow
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def test_constant_compound_int(self):
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# non-contiguous should raise error
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x = np.arange(6, dtype=np.int32)[::2]
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assert_raises(ValueError, self.module.foo_compound_int, x)
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# check values with contiguous array
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x = np.arange(3, dtype=np.int32)
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self.module.foo_compound_int(x)
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assert_equal(x, [0 + 1 + 2*6, 1, 2])
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@pytest.mark.slow
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def test_constant_non_compound_int(self):
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# check values
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x = np.arange(4, dtype=np.int32)
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self.module.foo_non_compound_int(x)
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assert_equal(x, [0 + 1 + 2 + 3*4, 1, 2, 3])
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@pytest.mark.slow
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def test_constant_integer_int(self):
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# non-contiguous should raise error
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x = np.arange(6, dtype=np.int32)[::2]
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assert_raises(ValueError, self.module.foo_int, x)
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# check values with contiguous array
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x = np.arange(3, dtype=np.int32)
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self.module.foo_int(x)
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assert_equal(x, [0 + 1 + 2*3, 1, 2])
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@pytest.mark.slow
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def test_constant_integer_long(self):
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# non-contiguous should raise error
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x = np.arange(6, dtype=np.int64)[::2]
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assert_raises(ValueError, self.module.foo_long, x)
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# check values with contiguous array
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x = np.arange(3, dtype=np.int64)
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self.module.foo_long(x)
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assert_equal(x, [0 + 1 + 2*3, 1, 2])
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@pytest.mark.slow
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def test_constant_both(self):
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# non-contiguous should raise error
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x = np.arange(6, dtype=np.float64)[::2]
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assert_raises(ValueError, self.module.foo, x)
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# check values with contiguous array
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x = np.arange(3, dtype=np.float64)
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self.module.foo(x)
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assert_equal(x, [0 + 1*3*3 + 2*3*3, 1*3, 2*3])
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@pytest.mark.slow
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def test_constant_no(self):
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# non-contiguous should raise error
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x = np.arange(6, dtype=np.float64)[::2]
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assert_raises(ValueError, self.module.foo_no, x)
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# check values with contiguous array
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x = np.arange(3, dtype=np.float64)
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self.module.foo_no(x)
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assert_equal(x, [0 + 1*3*3 + 2*3*3, 1*3, 2*3])
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@pytest.mark.slow
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def test_constant_sum(self):
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# non-contiguous should raise error
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x = np.arange(6, dtype=np.float64)[::2]
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assert_raises(ValueError, self.module.foo_sum, x)
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# check values with contiguous array
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x = np.arange(3, dtype=np.float64)
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self.module.foo_sum(x)
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assert_equal(x, [0 + 1*3*3 + 2*3*3, 1*3, 2*3])
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