def test(self):
inputdir = os.path.dirname(case_16.__file__)
output = gettemp(suffix='.csv')
grid_spacing = 50
exposure_xml = os.path.join(inputdir, 'exposure.xml')
vs30_csv = os.path.join(inputdir, 'vs30.csv')
sitecol = prepare_site_model(
[exposure_xml], [], [vs30_csv], True, True, True,
grid_spacing, 5, output)
sm = read_csv(output, {None: float, 'vs30measured': numpy.uint8})
self.assertEqual(sm['vs30measured'].sum(), 0)
self.assertEqual(len(sitecol), 84) # 84 non-empty grid points
self.assertEqual(len(sitecol), len(sm))
# test no grid
sc = prepare_site_model([exposure_xml], [], [vs30_csv],
True, True, False, 0, 5, output)
self.assertEqual(len(sc), 148) # 148 sites within 5 km from the params
# test sites_csv == vs30_csv
sc = prepare_site_model([], [vs30_csv], [vs30_csv],
True, True, False, 0, 5, output)
# test sites_csv == vs30_csv and grid spacing
sc = prepare_site_model([], [vs30_csv], [vs30_csv],
True, True, False, 10, 5, output)
def test(self):
inputdir = os.path.dirname(case_16.__file__)
output = gettemp(suffix='.csv')
grid_spacing = 50
exposure_xml = os.path.join(inputdir, 'exposure.xml')
vs30_csv = os.path.join(inputdir, 'vs30.csv')
sitecol = prepare_site_model(
[exposure_xml], [], [vs30_csv], True, True, True,
grid_spacing, 5, output)
sm = read_csv(output, {None: float, 'vs30measured': bool})
self.assertEqual(sm['vs30measured'].sum(), 0)
self.assertEqual(len(sitecol), 84) # 84 non-empty grid points
self.assertEqual(len(sitecol), len(sm))
# test no grid
sc = prepare_site_model([exposure_xml], [], [vs30_csv],
True, True, False, 0, 5, output)
self.assertEqual(len(sc), 148) # 148 sites within 5 km from the params
# test sites_csv
sc = prepare_site_model([], [output], [vs30_csv],
True, True, False, 0, 5, output)