def test_create_load(self): dem_files = ['tunez', 'tunez2', 'small25'] for filename in dem_files: fd = Flow("data/fd_{0}.tif".format(filename)) st = Network(fd, 1000) computed = [ st.get_dims(), st.get_size(), st.get_ncells(), st.get_cellsize(), st.get_geotransform(), st.get_projection() ] expected = [ fd.get_dims(), fd.get_size(), fd.get_ncells(), fd.get_cellsize(), fd.get_geotransform(), fd.get_projection() ] self.assertTrue(computed, expected)
def test_empty_network(self): net = Network() # Test PRaster properties self.assertEqual(net.get_cellsize(), (1.0, -1.0)) self.assertEqual(net.get_dims(), (1, 1)) self.assertEqual(net.get_size(), (1, 1)) self.assertEqual(net.get_extent(), (0.0, 1.0, 0.0, 1.0)) self.assertEqual(net.get_geotransform(), (0.0, 1.0, 0.0, 1.0, 0.0, -1.0)) self.assertEqual(net.get_ncells(), 1) self.assertEqual(net.get_projection(), "") # Test PRaster functions self.assertEqual(net.cell_2_ind(0, 0), .0) self.assertEqual(net.cell_2_xy(0, 0), (0.5, 0.5)) self.assertEqual(net.xy_2_cell(1, 1), (0, 1)) self.assertEqual(net.ind_2_cell(0), (0, 0)) # Test saving functions path = outfolder + "/net_delete.dat" net.save(path) self.assertEqual(os.path.exists(path), True) if os.path.exists(path): os.remove(path) path = outfolder + "/points_delete.txt" net.export_to_points(path) self.assertEqual(os.path.exists(path), True) if os.path.exists(path): os.remove(path) path = outfolder + "/shp_delete.shp" net.export_to_shp(path) self.assertEqual(os.path.exists(path), True) if os.path.exists(path): os.remove(path) path = outfolder + "/chi_delete.shp" net.get_chi_shapefile(path, 0) self.assertEqual(os.path.exists(path), True) if os.path.exists(path): os.remove(path) # Test other functions self.assertEqual( np.array_equal(net.get_streams(False), np.array([1]).reshape(1, 1)), True) self.assertEqual( np.array_equal(net.get_stream_segments(False), np.array([0]).reshape(1, 1)), True) self.assertEqual( np.array_equal(net.get_stream_orders("strahler", False), np.array([1]).reshape(1, 1)), True) self.assertEqual( np.array_equal(net.get_stream_orders('shreeve', False), np.array([1]).reshape(1, 1)), True) self.assertEqual( np.array_equal(net.get_stream_orders('dinosaur', False), np.array([1]).reshape(1, 1)), True) self.assertEqual( np.array_equal(net.get_stream_poi("heads", "XY"), np.array([]).reshape(0, 2)), True) self.assertEqual( np.array_equal(net.get_stream_poi("heads", "CELL"), np.array([]).reshape(0, 2)), True) self.assertEqual( np.array_equal(net.get_stream_poi("heads", "IND"), np.array([])), True) self.assertEqual( np.array_equal(net.get_stream_poi("confluences", "XY"), np.array([]).reshape(0, 2)), True) self.assertEqual( np.array_equal(net.get_stream_poi("confluences", "CELL"), np.array([]).reshape(0, 2)), True) self.assertEqual( np.array_equal(net.get_stream_poi("confluences", "IND"), np.array([])), True) self.assertEqual( np.array_equal(net.get_stream_poi("outlets", "XY"), np.array([]).reshape(0, 2)), True) self.assertEqual( np.array_equal(net.get_stream_poi("outlets", "CELL"), np.array([]).reshape(0, 2)), True) self.assertEqual( np.array_equal(net.get_stream_poi("outlets", "IND"), np.array([])), True) self.assertEqual( np.array_equal(net.get_stream_poi("dinosaur", "dinosaur"), np.array([]).reshape(0, 2)), True) self.assertEqual( np.array_equal(net.snap_points(np.array((5, 5)).reshape(1, 2)), np.array([[0.5, 0.5]])), True) self.assertEqual(net.is_inside(0, 0), False) net.calculate_gradients(0)