def test_source_errors(self): # exercise the case where an error occurs while computing on a given # seismic source; in this case, we expect an error to be raised which # signals the id of the source in question fail_source = self.FailSource(self.source2.source_id, self.source2.ruptures, self.source2.tom, self.source2.tectonic_region_type) sources = iter([self.source1, fail_source]) with self.assertRaises(RuntimeError) as ae: bin_edges, matrix = disagg.disaggregation_poissonian( sources, self.site, self.imt, self.iml, self.gsims, self.time_span, self.truncation_level, n_epsilons=3, mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4) expected_error = ( 'An error occurred with source id=2. Error: Something bad happened' ) self.assertEqual(expected_error, ae.exception.message)
def test(self): self.gsim.truncation_level = self.truncation_level = 1 bin_edges, matrix = disagg.disaggregation_poissonian( self.sources, self.site, self.imt, self.iml, self.gsims, self.time_span, self.truncation_level, n_epsilons=3, mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4 ) mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges aaae = numpy.testing.assert_array_almost_equal aaae(mag_bins, [3, 6, 9]) aaae(dist_bins, [0, 4, 8, 12, 16]) aaae(lon_bins, [9.6, 12., 14.4, 16.8, 19.2, 21.6, 24.]) aaae(lat_bins, [43.2, 45.6, 48.]) aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1]) self.assertEqual(trt_bins, ['trt1', 'trt2']) for idx, value in [((0, 2, 4, 0, 0, 0), 0.0429088739427), ((0, 2, 4, 0, 1, 0), 0.0915231841771), ((0, 2, 4, 0, 2, 0), 0.0539109573863), ((0, 2, 5, 0, 0, 0), 0.0524944739774), ((0, 2, 5, 0, 1, 0), 0.0831147185105), ((0, 2, 5, 0, 2, 0), 0.0553469961235), ((0, 3, 5, 0, 1, 0), 0.0198247319211), ((0, 3, 5, 0, 2, 0), 0.00040039738616), ((1, 1, 0, 0, 1, 1), 0.00407387860215), ((1, 1, 0, 0, 2, 1), 0.00163154735795), ((1, 1, 0, 1, 0, 1), 0.00304128663811), ((1, 1, 0, 1, 1, 1), 0.0151142198204), ((1, 1, 0, 1, 2, 1), 0.00304128663811)]: self.assertAlmostEqual(matrix[idx], value) matrix[idx] = 0 self.assertEqual(matrix.sum(), 0)
def test_no_contributions_from_ruptures(self): # Test that the `disaggregation` function returns `None, None` if no # ruptures contribute to the hazard level. array = numpy.array float64 = numpy.float64 int64 = numpy.int64 # This is the result we get if the sources produce no ruptures: fake_bins_data = (array([], dtype=float64), array([], dtype=float64), array([], dtype=float64), array([], dtype=float64), array([], dtype=float64), array([], dtype=int64), []) with mock.patch( 'openquake.hazardlib.calc.disagg._collect_bins_data') as cbd: with warnings.catch_warnings(record=True) as w: cbd.return_value = fake_bins_data self.gsim.truncation_level = self.truncation_level = 1 bin_edges, matrix = disagg.disaggregation_poissonian( self.sources, self.site, self.imt, self.iml, self.gsims, self.time_span, self.truncation_level, n_epsilons=3, mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4, ) # We expect to get back 2 `None` values: self.assertIsNone(bin_edges) self.assertIsNone(matrix) # Also check for the warning that should be raised: expected_warning_msg = ( 'No ruptures have contributed to the hazard at site ' '<Location=<Latitude=0.000000, Longitude=0.000000, ' 'Depth=0.0000>, Vs30=2.0000, Vs30Measured=False, ' 'Depth1.0km=4.0000, Depth2.5km=5.0000>') self.assertEqual(1, len(w)) [warning] = list(w) self.assertEqual(expected_warning_msg, warning.message.message)
def test_source_errors(self): # exercise the case where an error occurs while computing on a given # seismic source; in this case, we expect an error to be raised which # signals the id of the source in question fail_source = self.FailSource(self.source2.source_id, self.source2.ruptures, self.source2.tom, self.source2.tectonic_region_type) sources = iter([self.source1, fail_source]) with self.assertRaises(RuntimeError) as ae: bin_edges, matrix = disagg.disaggregation_poissonian( sources, self.site, self.imt, self.iml, self.gsims, self.time_span, self.truncation_level, n_epsilons=3, mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4 ) expected_error = ( 'An error occurred with source id=2. Error: Something bad happened' ) self.assertEqual(expected_error, ae.exception.message)
def test(self): self.gsim.truncation_level = self.truncation_level = 1 bin_edges, matrix = disagg.disaggregation_poissonian( self.sources, self.site, self.imt, self.iml, self.gsims, self.time_span, self.truncation_level, n_epsilons=3, mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4) mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges aaae = numpy.testing.assert_array_almost_equal aaae(mag_bins, [3, 6, 9]) aaae(dist_bins, [0, 4, 8, 12, 16]) aaae(lon_bins, [9.6, 12., 14.4, 16.8, 19.2, 21.6, 24.]) aaae(lat_bins, [43.2, 45.6, 48.]) aaae(eps_bins, [-1, -0.3333333, 0.3333333, 1]) self.assertEqual(trt_bins, ['trt1', 'trt2']) for idx, value in [((0, 2, 4, 0, 0, 0), 0.0429088739427), ((0, 2, 4, 0, 1, 0), 0.0915231841771), ((0, 2, 4, 0, 2, 0), 0.0539109573863), ((0, 2, 5, 0, 0, 0), 0.0524944739774), ((0, 2, 5, 0, 1, 0), 0.0831147185105), ((0, 2, 5, 0, 2, 0), 0.0553469961235), ((0, 3, 5, 0, 1, 0), 0.0198247319211), ((0, 3, 5, 0, 2, 0), 0.00040039738616), ((1, 1, 0, 0, 1, 1), 0.00407387860215), ((1, 1, 0, 0, 2, 1), 0.00163154735795), ((1, 1, 0, 1, 0, 1), 0.00304128663811), ((1, 1, 0, 1, 1, 1), 0.0151142198204), ((1, 1, 0, 1, 2, 1), 0.00304128663811)]: self.assertAlmostEqual(matrix[idx], value) matrix[idx] = 0 self.assertEqual(matrix.sum(), 0)
def test_no_contributions_from_ruptures(self): # Test that the `disaggregation` function returns `None, None` if no # ruptures contribute to the hazard level. array = numpy.array float64 = numpy.float64 int64 = numpy.int64 # This is the result we get if the sources produce no ruptures: fake_bins_data = (array([], dtype=float64), array([], dtype=float64), array([], dtype=float64), array([], dtype=float64), array([], dtype=float64), array([], dtype=int64), []) with mock.patch( 'openquake.hazardlib.calc.disagg._collect_bins_data' ) as cbd: with warnings.catch_warnings(record=True) as w: cbd.return_value = fake_bins_data self.gsim.truncation_level = self.truncation_level = 1 bin_edges, matrix = disagg.disaggregation_poissonian( self.sources, self.site, self.imt, self.iml, self.gsims, self.time_span, self.truncation_level, n_epsilons=3, mag_bin_width=3, dist_bin_width=4, coord_bin_width=2.4, ) # We expect to get back 2 `None` values: self.assertIsNone(bin_edges) self.assertIsNone(matrix) # Also check for the warning that should be raised: expected_warning_msg = ( 'No ruptures have contributed to the hazard at site ' '<Location=<Latitude=0.000000, Longitude=0.000000, ' 'Depth=0.0000>, Vs30=2.0000, Vs30Measured=False, ' 'Depth1.0km=4.0000, Depth2.5km=5.0000>' ) self.assertEqual(1, len(w)) [warning] = list(w) self.assertEqual(expected_warning_msg, warning.message.message)
def test_areasource(self): nodalplane = NodalPlane(strike=0.0, dip=90.0, rake=0.0) src = AreaSource( source_id='src_1', name='area source', tectonic_region_type='Active Shallow Crust', mfd=TruncatedGRMFD(a_val=3.5, b_val=1.0, min_mag=5.0, max_mag=6.5, bin_width=0.1), nodal_plane_distribution=PMF([(1.0, nodalplane)]), hypocenter_distribution=PMF([(1.0, 5.0)]), upper_seismogenic_depth=0.0, lower_seismogenic_depth=10.0, magnitude_scaling_relationship = WC1994(), rupture_aspect_ratio=1.0, polygon=Polygon([Point(-0.5,-0.5), Point(-0.5,0.5), Point(0.5,0.5), Point(0.5,-0.5)]), area_discretization=9.0, rupture_mesh_spacing=1.0 ) site = Site(location=Point(0.0,0.0), vs30=800.0, vs30measured=True, z1pt0=500.0, z2pt5=2.0) gsims = {'Active Shallow Crust': BooreAtkinson2008()} imt = SA(period=0.1,damping=5.0) iml = 0.2 time_span = 50.0 truncation_level = 3.0 n_epsilons = 3 mag_bin_width = 0.2 # in km dist_bin_width = 10.0 # in decimal degree coord_bin_width = 0.2 # compute disaggregation bin_edges, diss_matrix = disagg.disaggregation_poissonian( [src], site, imt, iml, gsims, time_span, truncation_level, n_epsilons, mag_bin_width, dist_bin_width, coord_bin_width ) mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges numpy.testing.assert_almost_equal( mag_bins, [5., 5.2, 5.4, 5.6, 5.8, 6., 6.2, 6.4, 6.6] ) numpy.testing.assert_almost_equal( dist_bins, [0., 10., 20., 30., 40., 50., 60., 70., 80.] ) numpy.testing.assert_almost_equal( lat_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6] ) numpy.testing.assert_almost_equal( lon_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6] ) numpy.testing.assert_almost_equal( eps_bins, [-3., -1., 1., 3.] ) self.assertEqual(trt_bins, ['Active Shallow Crust']) expected_matrix = numpy.fromstring("""\ eJztnXlcTdv7x3eSJuVEKSWOg5LSPVEZytm7lESl5Ia4nG6GuF1FdUWGTcpYMpZolEa5hwgN7OIm lEYNKOeWBlNFyZDqd/q9vq+v8717da99zz5N9vs/S6+1nr3Ws/Y6e33W8ywIoiCVcM+brec1YbSo fvtn5mYYmsTNHN+wGP7v/591TK2FLWEoO1H1caMJ/Dc1kcupjGMOYWy8PRQU/REWFiS31xqGLsZ2 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numpy.testing.assert_almost_equal(diss_matrix, expected_matrix)
def test_areasource(self): nodalplane = NodalPlane(strike=0.0, dip=90.0, rake=0.0) src = AreaSource(source_id='src_1', name='area source', tectonic_region_type='Active Shallow Crust', mfd=TruncatedGRMFD(a_val=3.5, b_val=1.0, min_mag=5.0, max_mag=6.5, bin_width=0.1), nodal_plane_distribution=PMF([(1.0, nodalplane)]), hypocenter_distribution=PMF([(1.0, 5.0)]), upper_seismogenic_depth=0.0, lower_seismogenic_depth=10.0, magnitude_scaling_relationship=WC1994(), rupture_aspect_ratio=1.0, polygon=Polygon([ Point(-0.5, -0.5), Point(-0.5, 0.5), Point(0.5, 0.5), Point(0.5, -0.5) ]), area_discretization=9.0, rupture_mesh_spacing=1.0) site = Site(location=Point(0.0, 0.0), vs30=800.0, vs30measured=True, z1pt0=500.0, z2pt5=2.0) gsims = {'Active Shallow Crust': BooreAtkinson2008()} imt = SA(period=0.1, damping=5.0) iml = 0.2 time_span = 50.0 truncation_level = 3.0 n_epsilons = 3 mag_bin_width = 0.2 # in km dist_bin_width = 10.0 # in decimal degree coord_bin_width = 0.2 # compute disaggregation bin_edges, diss_matrix = disagg.disaggregation_poissonian( [src], site, imt, iml, gsims, time_span, truncation_level, n_epsilons, mag_bin_width, dist_bin_width, coord_bin_width) mag_bins, dist_bins, lon_bins, lat_bins, eps_bins, trt_bins = bin_edges numpy.testing.assert_almost_equal( mag_bins, [5., 5.2, 5.4, 5.6, 5.8, 6., 6.2, 6.4, 6.6]) numpy.testing.assert_almost_equal( dist_bins, [0., 10., 20., 30., 40., 50., 60., 70., 80.]) numpy.testing.assert_almost_equal( lat_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6]) numpy.testing.assert_almost_equal( lon_bins, [-0.6, -0.4, -0.2, 0., 0.2, 0.4, 0.6]) numpy.testing.assert_almost_equal(eps_bins, [-3., -1., 1., 3.]) self.assertEqual(trt_bins, ['Active Shallow Crust']) expected_matrix = numpy.fromstring("""\ eJztnXlcTdv7x3eSJuVEKSWOg5LSPVEZytm7lESl5Ia4nG6GuF1FdUWGTcpYMpZolEa5hwgN7OIm lEYNKOeWBlNFyZDqd/q9vq+v8717da99zz5N9vs/S6+1nr3Ws/Y6e33W8ywIoiCVcM+brec1YbSo fvtn5mYYmsTNHN+wGP7v/591TK2FLWEoO1H1caMJ/Dc1kcupjGMOYWy8PRQU/REWFiS31xqGLsZ2 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numpy.testing.assert_almost_equal(diss_matrix, expected_matrix)