def test_write_extra_dimensions_gps_time(data):
data["new_stuff"] = (np.random.random(100) * 100).astype("u1")
jaklas.write(data, TEMP_OUTPUT)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.new_stuff, data["new_stuff"])
assert np.allclose(f.gps_time, data["gps_time"])
assert f.new_stuff.dtype == np.dtype("u1")
def test_write_simple(data):
jaklas.write(data, TEMP_OUTPUT)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.x, data["x"], atol=0.0001)
assert np.allclose(f.y, data["y"], atol=0.0001)
assert np.allclose(f.z, data["z"], atol=0.0001)
assert np.allclose(f.intensity, data["intensity"].astype("u2"))
assert np.allclose(f.classification, data["classification"])
def test_write_simple_laz(data):
jaklas.write(data, TEMP_OUTPUT_LAZ)
f = pylas.read(str(TEMP_OUTPUT_LAZ))
assert f.header.are_points_compressed
assert np.allclose(f.x, data["x"], atol=0.0001)
assert np.allclose(f.y, data["y"], atol=0.0001)
assert np.allclose(f.z, data["z"], atol=0.0001)
assert np.allclose(f.intensity, data["intensity"].astype("u2"))
assert np.allclose(f.classification, data["classification"])
def test_write_crs():
jaklas.write(point_data_gps_time, TEMP_OUTPUT, crs=2950)
f = pylas.read(str(TEMP_OUTPUT))
# note: there is a bug in pylas (to be fixed)
# where WktCoordinateSystemVlr is read as WktMathTransformVlr
# wkt = f.vlrs.get("WktCoordinateSystemVlr")[0].string
wkt = f.vlrs[0].string
expected_wkt = pyproj.CRS.from_epsg(2950).to_wkt()
assert expected_wkt == wkt[:-1] # null-terminated string in las file
def test_write_offset(data):
xyz_offset = (1, 2, 3)
jaklas.write(data, TEMP_OUTPUT, xyz_offset=xyz_offset)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.x, data["x"] + xyz_offset[0], atol=0.0001)
assert np.allclose(f.y, data["y"] + xyz_offset[1], atol=0.0001)
assert np.allclose(f.z, data["z"] + xyz_offset[2], atol=0.0001)
assert np.allclose(f.intensity, data["intensity"].astype("u2"))
assert np.allclose(f.classification, data["classification"])
def test_write_large_classifications():
data = point_data_large_classification
jaklas.write(data, TEMP_OUTPUT)
f = pylas.read(str(TEMP_OUTPUT))
assert f.point_format.id == 6
assert np.allclose(f.x, data["x"], atol=0.0001)
assert np.allclose(f.y, data["y"], atol=0.0001)
assert np.allclose(f.z, data["z"], atol=0.0001)
assert np.allclose(f.intensity, data["intensity"].astype("u2"))
assert np.allclose(f.classification, data["classification"])
def test_write_large_coordinates(data):
data = deepcopy(data)
data["x"] += 320000
data["y"] += 5000000
data["z"] -= 20
jaklas.write(data, TEMP_OUTPUT)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.x, data["x"], atol=0.0001)
assert np.allclose(f.y, data["y"], atol=0.0001)
assert np.allclose(f.z, data["z"], atol=0.0001)
assert np.allclose(f.intensity, data["intensity"].astype("u2"))
assert np.allclose(f.classification, data["classification"])
def test_write_xyz(data):
data = deepcopy(data)
data["xyz"] = np.vstack([data["x"], data["y"], data["z"]]).T
del data["x"]
del data["y"]
del data["z"]
jaklas.write(data, TEMP_OUTPUT)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.x, data["xyz"][:, 0], atol=0.0001)
assert np.allclose(f.y, data["xyz"][:, 1], atol=0.0001)
assert np.allclose(f.z, data["xyz"][:, 2], atol=0.0001)
assert np.allclose(f.intensity, data["intensity"].astype("u2"))
assert np.allclose(f.classification, data["classification"])
def test_write_large_coordinates_xyz_offset(data):
data = deepcopy(data)
xyz_offset = (3e5, 5e6, 100)
data["x"] = data["x"].astype("f")
data["y"] = data["y"].astype("f")
data["z"] = data["z"].astype("f")
jaklas.write(data, TEMP_OUTPUT, xyz_offset=xyz_offset)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.x, data["x"].astype("d") + xyz_offset[0], atol=0.0001)
assert np.allclose(f.y, data["y"].astype("d") + xyz_offset[1], atol=0.0001)
assert np.allclose(f.z, data["z"].astype("d") + xyz_offset[2], atol=0.0001)
assert np.allclose(f.intensity, data["intensity"].astype("u2"))
assert np.allclose(f.classification, data["classification"])
def test_write_X_Y_Z(data):
data = deepcopy(data)
data["X"] = data["x"]
data["Y"] = data["y"]
data["Z"] = data["z"]
del data["x"]
del data["y"]
del data["z"]
jaklas.write(data, TEMP_OUTPUT)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.x, data["X"], atol=0.0001)
assert np.allclose(f.y, data["Y"], atol=0.0001)
assert np.allclose(f.z, data["Z"], atol=0.0001)
assert np.allclose(f.intensity, data["intensity"].astype("u2"))
assert np.allclose(f.classification, data["classification"])
assert np.allclose(f.gps_time, data["gps_time"])
def test_write_scaled():
data = point_data_color
data_min_max = {
"intensity": (0, 255),
"red": (0, 255),
"green": (0, 255),
"blue": (0, 255),
}
def u1_to_u2(data):
return data * (2 ** 8 + 1)
jaklas.write(data, TEMP_OUTPUT, data_min_max=data_min_max)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.intensity, u1_to_u2(data["intensity"]).astype("u2"))
assert np.allclose(f.red, u1_to_u2(data["red"]).astype("u2"))
assert np.allclose(f.green, u1_to_u2(data["green"]).astype("u2"))
assert np.allclose(f.blue, u1_to_u2(data["blue"]).astype("u2"))
def test_read_all_fields():
data = read(very_small_las)
out = TEMP_DIR / "out.las"
data["something_else"] = np.full(len(data["xyz"]), fill_value=1)
write(data, out)
data_out = read(out)
assert sorted(list(data_out)) == [
"classification",
"edge_of_flight_line",
"gps_time",
"intensity",
"key_point",
"number_of_returns",
"point_source_id",
"return_number",
"scan_angle_rank",
"scan_direction_flag",
"something_else",
"synthetic",
"user_data",
"withheld",
"xyz",
]
def test_write_color(data):
jaklas.write(data, TEMP_OUTPUT)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.red, data["red"].astype("u2"))
assert np.allclose(f.green, data["green"].astype("u2"))
assert np.allclose(f.blue, data["blue"].astype("u2"))
def test_write_gps_time(data):
jaklas.write(data, TEMP_OUTPUT)
f = pylas.read(str(TEMP_OUTPUT))
assert np.allclose(f.gps_time, data["gps_time"], atol=0.0001)
