def test_stream_poi_03(self):
# Test 10 random basins
files = ["small25", "tunez", "jebja30"]
for file in files:
flw_path = infolder + "/{0}_fd.tif".format(file)
fd = Flow(flw_path)
thr = int(fd.get_ncells() * 0.0025)
for kind in ["heads", "confluences", "outlets"]:
poi = fd.get_stream_poi(thr, kind, "IND")
row, col = fd.ind_2_cell(poi)
x, y = fd.cell_2_xy(row, col)
poi = np.array((x, y)).T
spoi = np.loadtxt(infolder + "/{0}_{1}.txt".format(file, kind), delimiter=";", skiprows=1)
compare = np.array_equal(poi, spoi)
self.assertEqual(compare, True)
class FlowValueTest(unittest.TestCase):
def setUp(self):
# Load test data
self.ids = np.load(infolder + "/np_files/small25_100rnd_id.npy")
self.rows = np.load(infolder + "/np_files/small25_100rnd_row.npy")
self.cols = np.load(infolder + "/np_files/small25_100rnd_col.npy")
self.xi = np.load(infolder + "/np_files/small25_100rnd_X.npy")
self.yi = np.load(infolder + "/np_files/small25_100rnd_Y.npy")
self.zi = np.load(infolder + "/np_files/small25_100rnd_Z.npy")
# Load Flow object
self.fd = Flow(infolder + "/small25_fd.tif")
def test_xy_2_cell_01(self):
xi = self.xi
yi = self.yi
rows = self.rows
cols = self.cols
expected = (rows, cols)
computed = self.fd.xy_2_cell(xi, yi)
comparison = (computed[0] == expected[0]).all() and (computed[1] == expected[1]).all()
self.assertEqual(comparison, True)
def test_xy_2_cell_02(self):
ind = np.random.randint(0, 100)
x = self.xi[ind]
y = self.yi[ind]
row = self.rows[ind]
col = self.cols[ind]
expected = (row, col)
computed = self.fd.xy_2_cell(x, y)
self.assertEqual(computed, expected)
def test_xy_2_cell_03(self):
xi = self.xi.tolist()
yi = self.yi.tolist()
rows = self.rows
cols = self.cols
crows, ccols = self.fd.xy_2_cell(xi, yi)
computed = (np.array_equal(rows, crows), np.array_equal(cols, ccols))
self.assertEqual(computed, (True, True))
def test_ind_2_cell_01(self):
idx = np.random.randint(0, 100)
ind = self.ids[idx]
row = self.rows[idx]
col = self.cols[idx]
expected = (row, col)
computed = self.fd.ind_2_cell(ind)
self.assertEqual(computed, expected)
def test_ind_2_cell_02(self):
ind = self.ids
row = self.rows
col = self.cols
crow, ccol = self.fd.ind_2_cell(ind)
computed = (np.array_equal(row, crow), np.array_equal(col, ccol))
self.assertEqual(computed, (True, True))
def test_ind_2_cell_03(self):
ind = self.ids
row = self.rows
col = self.cols
expected = (row, col)
computed = self.fd.ind_2_cell(ind)
comparison = (computed[0] == expected[0]).all() and (computed[1] == expected[1]).all()
self.assertEqual(comparison, True)
def test_cell_2_ind_01(self):
idx = np.random.randint(0, 100)
ind = self.ids[idx]
row = self.rows[idx]
col = self.cols[idx]
expected = ind
computed = self.fd.cell_2_ind(row, col)
self.assertEqual(computed, expected)
def test_cell_2_ind_02(self):
ind = self.ids
row = self.rows
col = self.cols
expected = ind
computed = self.fd.cell_2_ind(row, col)
res = np.array_equal(expected, computed)
self.assertEqual(res, True)
def test_cell_2_ind_03(self):
ind = self.ids
row = self.rows
col = self.cols
expected = ind
computed = self.fd.cell_2_ind(row, col)
comparison = (computed == expected).all()
self.assertEqual(comparison, True)
def test_cell_2_xy_01(self):
xi = self.xi
yi = self.yi
rows = self.rows
cols = self.cols
expected = (xi, yi)
computed = self.fd.cell_2_xy(rows, cols)
res = (np.array_equal(expected[0], computed[0]), np.array_equal(expected[1], computed[1]))
self.assertEqual(res, (True, True))
def test_cell_2_xy_02(self):
ind = np.random.randint(0, 100)
xi = self.xi[ind]
yi = self.yi[ind]
rows = self.rows[ind]
cols = self.cols[ind]
expected = (xi, yi)
computed = self.fd.cell_2_xy(rows, cols)
res = (np.array_equal(expected[0], computed[0]), np.array_equal(expected[1], computed[1]))
self.assertEqual(res, (True, True))
def test_cell_2_xy_03(self):
xi = self.xi.tolist()
yi = self.yi.tolist()
rows = self.rows
cols = self.cols
expected = (xi, yi)
computed = self.fd.cell_2_xy(rows, cols)
res = (np.array_equal(expected[0], computed[0]), np.array_equal(expected[1], computed[1]))
self.assertEqual(res, (True, True))