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import numpy as np
import pytest
import laspy
from laspy.point.dims import ScaledArrayView, SubFieldView
def test_sub_field_view_behaves_like_array():
"""This function is used to test if the SubFieldView class
works & has an API that is similar to np.ndarray
"""
array = np.zeros(10, np.uint8)
field = SubFieldView(array, 0b0000_0010)
assert len(field) == 10
assert np.all(field == 0)
assert np.all(field[:] == 0)
assert field.max() == 0
assert np.max(field) == 0
assert field.min() == 0
assert np.min(field) == 0
assert np.min(field) == field.min()
assert np.max(field) == field.max()
field[:] = 1
assert np.all(field == 1)
assert np.all(field[:] == 1)
assert field.max() == 1
assert np.max(field) == 1
assert field.min() == 1
assert np.min(field) == 1
assert np.all(field > 0)
assert not np.all(field < 0)
assert np.all(field >= 1)
assert np.all(field <= 1)
# check that the real array is properly modified
assert np.all(array == 2)
with pytest.raises(OverflowError):
field[4] = 2
assert np.mean(field) == 1
def test_array_view_int_index_return_singular_elements():
a = np.array([1, 2, 3, 4], np.int32)
s = SubFieldView(a, 0x00_00_00_FF)
for i in range(len(s)):
assert type(s[i]) in (np.int32, np.int64)
assert a[i] == s[i]
s = ScaledArrayView(a, scale=2.0, offset=0.0)
for i in range(len(s)):
assert type(s[i]) == np.float64
assert (a[i] * 2.0) == s[i]
def test_scaled_array_view_ellipsis_indexing(simple_las_path):
las = laspy.read(simple_las_path)
las.add_extra_dim(
laspy.ExtraBytesParams(
name="test_dim",
type="3int32",
scales=np.array([1.0, 2.0, 3.0], np.float64),
offsets=np.array([10.0, 20.0, 30.0], np.float64),
)
)
# Query all the points in the 2nd dimension
assert np.all(las.test_dim[..., 2] == 30.0)
# Query the 10 nth point, we expect all its dimensions
assert np.all(las.test_dim[10, ...] == [10.0, 20.0, 30.0])
def test_scaled_array_view_indexing_with_array_or_list(simple_las_path):
las = laspy.read(simple_las_path)
las.add_extra_dim(
laspy.ExtraBytesParams(
name="test_dim",
type="3int32",
scales=np.array([1.0, 2.0, 3.0], np.float64),
offsets=np.array([10.0, 20.0, 30.0], np.float64),
)
)
d = las.test_dim[[0, 1, 10, 12]]
assert d.ndim == 2
assert d.shape == (4, 3)
assert np.all(d[..., 0] == 10.0)
assert np.all(d[..., 1] == 20.0)
assert np.all(d[..., 2] == 30.0)
d2 = las.test_dim[np.array([0, 1, 10, 12])]
assert np.all(d == d2)
def test_sub_field_view_with_self(simple_las_path):
las = laspy.read(simple_las_path)
rn = np.array(las.return_number)
order = np.argsort(las.return_number)[::-1]
las.return_number[:] = las.return_number[order]
assert np.all(las.return_number == rn[order])
def test_can_use_array_func_with_list(simple_las_path):
las = laspy.read(simple_las_path)
np.concatenate([las.return_number, las.classification])
np.concatenate([las.x, las.y])
def test_sub_field_as_array():
array = np.zeros(10, np.uint8)
field = SubFieldView(array, 0b0000_0010)
cpy = np.array(field)
cpy[:] = 1
assert np.all(cpy == 1)
assert np.all(field != 1)
cpy[:] = 17
with pytest.raises(OverflowError):
field[:] = cpy[:]
# Here we just test that this can run,
# We had an error about with our __array__ signature
cpy[:] = field[:]
assert np.all(cpy == field)
def test_scaled_array_view():
array = np.zeros(10, np.int32)
x = ScaledArrayView(array, 0.01, 10)
assert np.max(x) == 10.0
assert np.min(x) == 10.0
assert np.min(x) == x.min()
assert np.max(x) == x.max()
assert np.all(x > 0.0)
assert np.all(x < 18.0)
assert np.all(x == 10.0)
assert np.all(x != 17.0)
assert np.mean(x) == 10.0
x[:] = 155.0
x[9] = 42.0
assert np.all(x[2:5] == 155.0)
assert x[9] == 42.0
with pytest.raises(OverflowError):
x[8] = np.finfo(np.float64).max
def test_array_views_on_empty_things():
"""
Test that __setitem__ of the Array views do not fail
when the value is an empty array / sequence,
to match the behaviour of numpy array
"""
array = np.zeros(0, np.int32)
x = ScaledArrayView(array, 0.01, 10)
# This shall not fail
x[:] = np.zeros(0)
array = np.zeros(0, np.uint8)
field = SubFieldView(array, 0b0000_0010)
# This shall not fail
field[:] = np.zeros(0)
def test_scaled_point_record_set_x_y_z():
record = laspy.ScaleAwarePointRecord.zeros(
5, point_format=laspy.PointFormat(3), scales=[1.0] * 3, offsets=[0.0] * 3
)
assert np.all(record.x == 0.0)
assert np.all(record.y == 0.0)
assert np.all(record.z == 0.0)
record.x = 17.0
record.y = 17.12
record.z = np.array([293090.812739] * len(record))
assert np.all(record.x == 17.0)
assert np.all(record.y == 17.12)
assert np.all(record.z == 293090.812739)
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