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)
