def test_BNetwork_class05(self):
"""
Test de creado masivo de cuencas con cabeceras aleatorias
"""
files = ["small25", "jebja30", "tunez"]
for file in files:
# Cargamos DEM, Flow, Network
fd = Flow("{}/{}_fd.tif".format(infolder, file))
net = Network("{}/{}_net.dat".format(infolder, file))
dem = DEM("{}/{}.tif".format(infolder, file))
# Generamos todas las cuencas
cuencas = fd.get_drainage_basins(min_area=0.0025)
# Generamos 50 puntos aleatorios dentro de la extensión del objeto Network
# Estos 50 puntos se usaran como cabeceras
xmin, xmax, ymin, ymax = net.get_extent()
xi = np.random.randint(xmin, xmax, 50)
yi = np.random.randint(ymin, ymax, 50)
heads = np.array((xi, yi)).T
# Cogemos 5 cuencas aleatorias
bids = np.random.choice(np.unique(cuencas.read_array())[1:], 5)
for bid in bids:
try:
if np.random.randint(100) < 70:
bnet = BNetwork(net, cuencas, heads, bid)
else:
basin = Basin(dem, cuencas, bid)
bnet = BNetwork(net, basin, heads)
except NetworkError:
print(
"Network of {} file inside the basin {} has not enough pixels"
.format(file, bid))
continue
# Salvamos BNetwork y volvemos a cargar para comprobar que se cargan-guardan bien
bnet_path = "{}/{}_{}_bnet.dat".format(outfolder, file, bid)
bnet.save(bnet_path)
bnet2 = BNetwork(bnet_path)
computed = np.array_equal(bnet._ix, bnet2._ix)
self.assertEqual(computed, True)
# borramos archivo
os.remove(bnet_path)
def test_snap_poi_02(self):
# Test 10 random basins
files = ["small25", "morocco", "tunez", "jebja30"]
for file in files:
# Cargamos objeto network guardado previamente
net_path = infolder + "/{0}_network.net".format(file)
net = Network(net_path)
# Obtenemos 20 puntos aleatorios
x1, x2, y1, y2 = net.get_extent()
xi = (x2 - x1) * np.random.random(25) + x1
yi = (y2 - y1) * np.random.random(25) + y1
puntos = np.array((xi, yi)).T
# Hacemos snap a celdas de canal
snap_pp = net.snap_points(puntos, kind="channel")
row, col = net.xy_2_cell(snap_pp[:, 0], snap_pp[:, 1])
inds = net.cell_2_ind(row, col)
# Comprobamos que punto esta entre los POI
for ind in inds:
res = ind in net._ix
self.assertEqual(res, True)
def test_snap_poi_01(self):
# Test 10 random basins
files = ["small25", "morocco", "tunez", "jebja30"]
for file in files:
# Cargamos objeto network guardado previamente
net_path = infolder + "/{0}_network.net".format(file)
net = Network(net_path)
# Obtenemos 20 puntos aleatorios
x1, x2, y1, y2 = net.get_extent()
xi = (x2 - x1) * np.random.random(25) + x1
yi = (y2 - y1) * np.random.random(25) + y1
puntos = np.array((xi, yi)).T
# Hacemos snap a los stream poi
for kind in ["heads", "confluences", "outlets"]:
poi = net.get_stream_poi(kind, "XY")
snap_pp = net.snap_points(puntos, kind)
# Comprobamos que punto esta entre los POI
for row in snap_pp:
res = row in poi
self.assertEqual(res, True)
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)
