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Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
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PyCTBN/venv/lib/python3.9/site-packages/numpy/f2py/tests/test_parameter.py

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3.8 KiB

import os
import pytest
import numpy as np
from numpy.testing import assert_raises, assert_equal
from . import util
def _path(*a):
return os.path.join(*((os.path.dirname(__file__),) + a))
class TestParameters(util.F2PyTest):
# Check that intent(in out) translates as intent(inout)
sources = [_path('src', 'parameter', 'constant_real.f90'),
_path('src', 'parameter', 'constant_integer.f90'),
_path('src', 'parameter', 'constant_both.f90'),
_path('src', 'parameter', 'constant_compound.f90'),
_path('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]
assert_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_equal(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]
assert_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_equal(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]
assert_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_equal(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_equal(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]
assert_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_equal(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]
assert_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_equal(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]
assert_raises(ValueError, self.module.foo, x)
# check values with contiguous array
x = np.arange(3, dtype=np.float64)
self.module.foo(x)
assert_equal(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]
assert_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_equal(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]
assert_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_equal(x, [0 + 1*3*3 + 2*3*3, 1*3, 2*3])