def test_clip_imls_with_many_normal_values(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that normal values (values within the defined IML range) are not
changed.
"""
valid_imls = [0.005, 0.0269, 0.0051, 0.0268]
expected_result = numpy.array(valid_imls)
self.assertTrue(allclose(expected_result,
shapes.range_clip(valid_imls, self.TEST_IMLS)))
# same test, except with numpy.array-type input:
self.assertTrue(allclose(expected_result,
shapes.range_clip(numpy.array(valid_imls), self.TEST_IMLS)))
def test_clip_high_imls_many_values(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that the high values are clipped to the highest valid value in
the IML range.
"""
expected_imls = numpy.array([0.0269, 0.0269, 0.0269])
test_input = [0.027, 0.3, 10]
self.assertTrue(allclose(expected_imls,
shapes.range_clip(test_input, self.TEST_IMLS)))
# same test, except with a numpy.array-type input:
self.assertTrue(allclose(expected_imls,
shapes.range_clip(numpy.array(test_input), self.TEST_IMLS)))
def test_clip_low_iml_values(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that low values are clipped to the lowest valid value in the
IML range.
"""
self.assertEqual(0.005, shapes.range_clip(0.0049, self.TEST_IMLS))
def test_clip_high_iml_values(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that the high values are clipped to the highest valid value in
the IML range.
"""
self.assertEqual(0.0269, shapes.range_clip(0.027, self.TEST_IMLS))
def test_clip_high_iml_values(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that the high values are clipped to the highest valid value in
the IML range.
"""
self.assertEqual(0.0269, shapes.range_clip(0.027, self.TEST_IMLS))
def test_clip_low_iml_values(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that low values are clipped to the lowest valid value in the
IML range.
"""
self.assertEqual(0.005, shapes.range_clip(0.0049, self.TEST_IMLS))
def test_clip_imls_with_many_normal_values(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that normal values (values within the defined IML range) are not
changed.
"""
valid_imls = [0.005, 0.0269, 0.0051, 0.0268]
expected_result = numpy.array(valid_imls)
self.assertTrue(
allclose(expected_result,
shapes.range_clip(valid_imls, self.TEST_IMLS)))
# same test, except with numpy.array-type input:
self.assertTrue(
allclose(
expected_result,
shapes.range_clip(numpy.array(valid_imls), self.TEST_IMLS)))
def test_clip_high_imls_many_values(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that the high values are clipped to the highest valid value in
the IML range.
"""
expected_imls = numpy.array([0.0269, 0.0269, 0.0269])
test_input = [0.027, 0.3, 10]
self.assertTrue(
allclose(expected_imls,
shapes.range_clip(test_input, self.TEST_IMLS)))
# same test, except with a numpy.array-type input:
self.assertTrue(
allclose(
expected_imls,
shapes.range_clip(numpy.array(test_input), self.TEST_IMLS)))
def test_clip_iml_with_normal_value(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that normal values (values within the defined IML range) are not
changed.
"""
valid_imls = numpy.array([0.005, 0.0051, 0.0268, 0.0269])
for i in valid_imls:
self.assertEqual(i, shapes.range_clip(i, valid_imls))
def test_clip_iml_with_normal_value(self):
"""
Test :py:method:`openquake.shapes.range_clip` to
ensure that normal values (values within the defined IML range) are not
changed.
"""
valid_imls = numpy.array([0.005, 0.0051, 0.0268, 0.0269])
for i in valid_imls:
self.assertEqual(i, shapes.range_clip(i, valid_imls))
