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WIP: integrating the python test full suite
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‎tests/integration_tests/pybinds_tests/test_pybind_units.py‎

Lines changed: 80 additions & 80 deletions
Original file line numberDiff line numberDiff line change
@@ -49,86 +49,86 @@ def test_DFPointCloud_load_from_PLY():
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assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals"
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assert pc.colors.__len__() == 7379, "DFPointCloud should have 7379 colors"
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# @pytest.fixture
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# def create_DFPointCloudSampleRoof():
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# df_pcd = dfb.dfb_geometry.DFPointCloud()
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# df_pcd.load_from_PLY(get_ply_cloud_roof_quarter_path())
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# yield df_pcd
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# def test_DFPointCloud_properties(create_DFPointCloudSampleRoof):
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# pc = create_DFPointCloudSampleRoof
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# assert pc.points.__len__() == 7379, "DFPointCloud should have 7379 points"
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# assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals"
62-
# assert pc.colors.__len__() == 7379, "DFPointCloud should have 7379 colors"
63-
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# assert pc.get_num_points() == 7379, "get_num_points() should return 7379"
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# assert pc.get_num_normals() == 7379, "get_num_normals() should return 7379"
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# assert pc.get_num_colors() == 7379, "get_num_colors() should return 7379"
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# assert pc.has_points() == True, "has_points() should return True"
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# assert pc.has_colors() == True, "has_colors() should return True"
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# assert pc.has_normals() == True, "has_normals() should return True"
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# pc.points = []
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# pc.normals = []
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# pc.colors = []
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# assert pc.has_points() == False, "has_points() should return False"
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# assert pc.has_colors() == False, "has_colors() should return False"
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# assert pc.has_normals() == False, "has_normals() should return False"
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# def test_DFPointCloud_apply_color(create_DFPointCloudSampleRoof):
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# pc = create_DFPointCloudSampleRoof
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# pc.apply_color(255, 0, 0)
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# for color in pc.colors:
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# assert (color[0] == 1 and color[1] == 0 and color[2] == 0), "All colors should be (255, 0, 0)"
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# def test_DFPointCloud_voxel_func(create_DFPointCloudSampleRoof):
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# pc = create_DFPointCloudSampleRoof
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# pc.voxel_downsample(0.01)
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# assert pc.points.__len__() == 7256, "DFPointCloud should have 7256 points"
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# pc.uniform_downsample(3)
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# assert pc.points.__len__() == 2419, "DFPointCloud should have 2419 points"
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# pc.downsample_by_size(1000)
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# assert pc.points.__len__() == 1000, "DFPointCloud should have 1000 points"
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# def test_DFPointCloud_compute_normals(create_DFPointCloudSampleRoof):
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# pc = create_DFPointCloudSampleRoof
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# pc.normals.clear()
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# pc.estimate_normals()
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# assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals"
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# def test_DFPointCloud_get_tight_bounding_box(create_DFPointCloudSampleRoof):
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# pc = create_DFPointCloudSampleRoof
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# obb = pc.get_tight_bounding_box()
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# assert obb[0][0] == 0.1955558282162114, "The min x of the OBB should be 0.1955558282162114"
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# # TODO: to implement DFMesh tests
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# def test_DFMesh_init():
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# pass
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# #------------------------------------------------------------------------------
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# # dfb_transformation namespace
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# #------------------------------------------------------------------------------
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# def test_DFTransform_init():
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# t = dfb.dfb_transformation.DFTransformation()
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# assert t is not None, "DFTransformation should be initialized successfully"
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# def test_DFTransform_read_write(create_DFPointCloudSampleRoof):
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# pc = create_DFPointCloudSampleRoof
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# t = dfb.dfb_transformation.DFTransformation()
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# matrix = t.transformation_matrix
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# print(matrix)
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# assert matrix is not None, "Transformation matrix should be initialized"
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# matrix_identity = [[1.0, 0.0, 0.0, 0.0],
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# [0.0, 1.0, 0.0, 0.0],
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# [0.0, 0.0, 1.0, 0.0],
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# [0.0, 0.0, 0.0, 1.0]]
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# t.transformation_matrix = matrix_identity
131-
# assert (t.transformation_matrix == matrix_identity).all(), "Transformation matrix should be set to identity"
52+
@pytest.fixture
53+
def create_DFPointCloudSampleRoof():
54+
df_pcd = dfb.dfb_geometry.DFPointCloud()
55+
df_pcd.load_from_PLY(get_ply_cloud_roof_quarter_path())
56+
yield df_pcd
57+
58+
def test_DFPointCloud_properties(create_DFPointCloudSampleRoof):
59+
pc = create_DFPointCloudSampleRoof
60+
assert pc.points.__len__() == 7379, "DFPointCloud should have 7379 points"
61+
assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals"
62+
assert pc.colors.__len__() == 7379, "DFPointCloud should have 7379 colors"
63+
64+
assert pc.get_num_points() == 7379, "get_num_points() should return 7379"
65+
assert pc.get_num_normals() == 7379, "get_num_normals() should return 7379"
66+
assert pc.get_num_colors() == 7379, "get_num_colors() should return 7379"
67+
68+
assert pc.has_points() == True, "has_points() should return True"
69+
assert pc.has_colors() == True, "has_colors() should return True"
70+
assert pc.has_normals() == True, "has_normals() should return True"
71+
72+
pc.points = []
73+
pc.normals = []
74+
pc.colors = []
75+
assert pc.has_points() == False, "has_points() should return False"
76+
assert pc.has_colors() == False, "has_colors() should return False"
77+
assert pc.has_normals() == False, "has_normals() should return False"
78+
79+
def test_DFPointCloud_apply_color(create_DFPointCloudSampleRoof):
80+
pc = create_DFPointCloudSampleRoof
81+
pc.apply_color(255, 0, 0)
82+
for color in pc.colors:
83+
assert (color[0] == 1 and color[1] == 0 and color[2] == 0), "All colors should be (255, 0, 0)"
84+
85+
def test_DFPointCloud_voxel_func(create_DFPointCloudSampleRoof):
86+
pc = create_DFPointCloudSampleRoof
87+
pc.voxel_downsample(0.01)
88+
assert pc.points.__len__() == 7256, "DFPointCloud should have 7256 points"
89+
pc.uniform_downsample(3)
90+
assert pc.points.__len__() == 2419, "DFPointCloud should have 2419 points"
91+
pc.downsample_by_size(1000)
92+
assert pc.points.__len__() == 1000, "DFPointCloud should have 1000 points"
93+
94+
def test_DFPointCloud_compute_normals(create_DFPointCloudSampleRoof):
95+
pc = create_DFPointCloudSampleRoof
96+
pc.normals.clear()
97+
pc.estimate_normals()
98+
assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals"
99+
100+
def test_DFPointCloud_get_tight_bounding_box(create_DFPointCloudSampleRoof):
101+
pc = create_DFPointCloudSampleRoof
102+
obb = pc.get_tight_bounding_box()
103+
assert obb[0][0] == 0.1955558282162114, "The min x of the OBB should be 0.1955558282162114"
104+
105+
# TODO: to implement DFMesh tests
106+
def test_DFMesh_init():
107+
pass
108+
109+
#------------------------------------------------------------------------------
110+
# dfb_transformation namespace
111+
#------------------------------------------------------------------------------
112+
113+
def test_DFTransform_init():
114+
t = dfb.dfb_transformation.DFTransformation()
115+
assert t is not None, "DFTransformation should be initialized successfully"
116+
117+
def test_DFTransform_read_write(create_DFPointCloudSampleRoof):
118+
pc = create_DFPointCloudSampleRoof
119+
t = dfb.dfb_transformation.DFTransformation()
120+
121+
matrix = t.transformation_matrix
122+
print(matrix)
123+
assert matrix is not None, "Transformation matrix should be initialized"
124+
125+
matrix_identity = [[1.0, 0.0, 0.0, 0.0],
126+
[0.0, 1.0, 0.0, 0.0],
127+
[0.0, 0.0, 1.0, 0.0],
128+
[0.0, 0.0, 0.0, 1.0]]
129+
130+
t.transformation_matrix = matrix_identity
131+
assert (t.transformation_matrix == matrix_identity).all(), "Transformation matrix should be set to identity"
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#------------------------------------------------------------------------------

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