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WIP: commenting out for testing pytest ci
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‎tests/integration_tests/pybinds_tests/test_pybind_units.py‎

Lines changed: 87 additions & 87 deletions
Original file line numberDiff line numberDiff line change
@@ -53,94 +53,94 @@ def test_DFPointCloud_init():
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pc = dfb.dfb_geometry.DFPointCloud(points, normals, colors)
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assert pc is not None, "DFPointCloud should be initialized successfully"
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56-
def test_DFPointCloud_load_from_PLY():
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pc = dfb.dfb_geometry.DFPointCloud()
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pc.load_from_PLY(get_ply_cloud_roof_quarter_path())
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# def test_DFPointCloud_load_from_PLY():
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# pc = dfb.dfb_geometry.DFPointCloud()
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# pc.load_from_PLY(get_ply_cloud_roof_quarter_path())
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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"
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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()
67-
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
72-
assert pc.points.__len__() == 7379, "DFPointCloud should have 7379 points"
73-
assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals"
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assert pc.colors.__len__() == 7379, "DFPointCloud should have 7379 colors"
75-
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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"
78-
assert pc.get_num_colors() == 7379, "get_num_colors() should return 7379"
79-
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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"
83-
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pc.points = []
85-
pc.normals = []
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pc.colors = []
87-
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):
92-
pc = create_DFPointCloudSampleRoof
93-
pc.apply_color(255, 0, 0)
94-
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):
98-
pc = create_DFPointCloudSampleRoof
99-
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"
103-
pc.downsample_by_size(1000)
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assert pc.points.__len__() == 1000, "DFPointCloud should have 1000 points"
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106-
def test_DFPointCloud_compute_normals(create_DFPointCloudSampleRoof):
107-
pc = create_DFPointCloudSampleRoof
108-
pc.normals.clear()
109-
pc.estimate_normals()
110-
assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals"
111-
112-
def test_DFPointCloud_get_tight_bounding_box(create_DFPointCloudSampleRoof):
113-
pc = create_DFPointCloudSampleRoof
114-
obb = pc.get_tight_bounding_box()
115-
assert obb[0][0] == 0.1955558282162114, "The min x of the OBB should be 0.1955558282162114"
116-
117-
# TODO: to implement DFMesh tests
118-
def test_DFMesh_init():
119-
pass
120-
121-
#------------------------------------------------------------------------------
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# dfb_transformation namespace
123-
#------------------------------------------------------------------------------
124-
125-
def test_DFTransform_init():
126-
t = dfb.dfb_transformation.DFTransformation()
127-
assert t is not None, "DFTransformation should be initialized successfully"
128-
129-
def test_DFTransform_read_write(create_DFPointCloudSampleRoof):
130-
pc = create_DFPointCloudSampleRoof
131-
t = dfb.dfb_transformation.DFTransformation()
132-
133-
matrix = t.transformation_matrix
134-
print(matrix)
135-
assert matrix is not None, "Transformation matrix should be initialized"
136-
137-
matrix_identity = [[1.0, 0.0, 0.0, 0.0],
138-
[0.0, 1.0, 0.0, 0.0],
139-
[0.0, 0.0, 1.0, 0.0],
140-
[0.0, 0.0, 0.0, 1.0]]
141-
142-
t.transformation_matrix = matrix_identity
143-
assert (t.transformation_matrix == matrix_identity).all(), "Transformation matrix should be set to identity"
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+
# @pytest.fixture
65+
# def create_DFPointCloudSampleRoof():
66+
# df_pcd = dfb.dfb_geometry.DFPointCloud()
67+
# df_pcd.load_from_PLY(get_ply_cloud_roof_quarter_path())
68+
# yield df_pcd
69+
70+
# def test_DFPointCloud_properties(create_DFPointCloudSampleRoof):
71+
# pc = create_DFPointCloudSampleRoof
72+
# assert pc.points.__len__() == 7379, "DFPointCloud should have 7379 points"
73+
# assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals"
74+
# assert pc.colors.__len__() == 7379, "DFPointCloud should have 7379 colors"
75+
76+
# assert pc.get_num_points() == 7379, "get_num_points() should return 7379"
77+
# assert pc.get_num_normals() == 7379, "get_num_normals() should return 7379"
78+
# assert pc.get_num_colors() == 7379, "get_num_colors() should return 7379"
79+
80+
# assert pc.has_points() == True, "has_points() should return True"
81+
# assert pc.has_colors() == True, "has_colors() should return True"
82+
# assert pc.has_normals() == True, "has_normals() should return True"
83+
84+
# pc.points = []
85+
# pc.normals = []
86+
# pc.colors = []
87+
# assert pc.has_points() == False, "has_points() should return False"
88+
# assert pc.has_colors() == False, "has_colors() should return False"
89+
# assert pc.has_normals() == False, "has_normals() should return False"
90+
91+
# def test_DFPointCloud_apply_color(create_DFPointCloudSampleRoof):
92+
# pc = create_DFPointCloudSampleRoof
93+
# pc.apply_color(255, 0, 0)
94+
# for color in pc.colors:
95+
# assert (color[0] == 1 and color[1] == 0 and color[2] == 0), "All colors should be (255, 0, 0)"
96+
97+
# def test_DFPointCloud_voxel_func(create_DFPointCloudSampleRoof):
98+
# pc = create_DFPointCloudSampleRoof
99+
# pc.voxel_downsample(0.01)
100+
# assert pc.points.__len__() == 7256, "DFPointCloud should have 7256 points"
101+
# pc.uniform_downsample(3)
102+
# assert pc.points.__len__() == 2419, "DFPointCloud should have 2419 points"
103+
# pc.downsample_by_size(1000)
104+
# assert pc.points.__len__() == 1000, "DFPointCloud should have 1000 points"
105+
106+
# def test_DFPointCloud_compute_normals(create_DFPointCloudSampleRoof):
107+
# pc = create_DFPointCloudSampleRoof
108+
# pc.normals.clear()
109+
# pc.estimate_normals()
110+
# assert pc.normals.__len__() == 7379, "DFPointCloud should have 7379 normals"
111+
112+
# def test_DFPointCloud_get_tight_bounding_box(create_DFPointCloudSampleRoof):
113+
# pc = create_DFPointCloudSampleRoof
114+
# obb = pc.get_tight_bounding_box()
115+
# assert obb[0][0] == 0.1955558282162114, "The min x of the OBB should be 0.1955558282162114"
116+
117+
# # TODO: to implement DFMesh tests
118+
# def test_DFMesh_init():
119+
# pass
120+
121+
# #------------------------------------------------------------------------------
122+
# # dfb_transformation namespace
123+
# #------------------------------------------------------------------------------
124+
125+
# def test_DFTransform_init():
126+
# t = dfb.dfb_transformation.DFTransformation()
127+
# assert t is not None, "DFTransformation should be initialized successfully"
128+
129+
# def test_DFTransform_read_write(create_DFPointCloudSampleRoof):
130+
# pc = create_DFPointCloudSampleRoof
131+
# t = dfb.dfb_transformation.DFTransformation()
132+
133+
# matrix = t.transformation_matrix
134+
# print(matrix)
135+
# assert matrix is not None, "Transformation matrix should be initialized"
136+
137+
# matrix_identity = [[1.0, 0.0, 0.0, 0.0],
138+
# [0.0, 1.0, 0.0, 0.0],
139+
# [0.0, 0.0, 1.0, 0.0],
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# [0.0, 0.0, 0.0, 1.0]]
141+
142+
# t.transformation_matrix = matrix_identity
143+
# assert (t.transformation_matrix == matrix_identity).all(), "Transformation matrix should be set to identity"
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#------------------------------------------------------------------------------

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