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import io
import numpy as np
import pytest
import laspy
def test_convert_1_5_write_read_las():
las = laspy.read("tests/data/simple.las")
for fmt in range(6):
with pytest.raises(laspy.LaspyException):
converted = laspy.convert(las, point_format_id=fmt, file_version="1.5")
with io.BytesIO() as stream:
for fmt in range(6, 11):
stream.seek(0)
converted = laspy.convert(las, point_format_id=fmt, file_version="1.5")
converted.write(stream, do_compress=False)
stream.seek(0)
las2 = laspy.read(stream, closefd=False)
assert np.allclose(las2.header.max_gps_time, las.gps_time.max())
assert np.allclose(las2.header.min_gps_time, las.gps_time.min())
for dim_name in las2.point_format.dimension_names:
try:
expected = las[dim_name]
except ValueError:
# The dimension may not exist in the old point format
continue
assert np.allclose(
las2[dim_name], expected
), f"Dimenion {dim_name} is not as expected"
@pytest.mark.parametrize("laz_backend", laspy.LazBackend.detect_available())
def test_convert_1_5_write_read_laz(laz_backend):
las = laspy.read("tests/data/simple.las")
for fmt in range(6):
with pytest.raises(laspy.LaspyException):
converted = laspy.convert(las, point_format_id=fmt, file_version="1.5")
with io.BytesIO() as stream:
for fmt in range(6, 11):
stream.seek(0)
converted = laspy.convert(las, point_format_id=fmt, file_version="1.5")
converted.write(stream, do_compress=True, laz_backend=laz_backend)
stream.seek(0)
las2 = laspy.read(stream, closefd=False, laz_backend=laz_backend)
assert np.allclose(las2.header.max_gps_time, las.gps_time.max())
assert np.allclose(las2.header.min_gps_time, las.gps_time.min())
for dim_name in las2.point_format.dimension_names:
try:
expected = las[dim_name]
except ValueError:
# The dimension may not exist in the old point format
continue
assert np.allclose(
las2[dim_name], expected
), f"Dimenion {dim_name} is not as expected"
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