code stringlengths 3 6.57k |
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complex(s) |
printwithtype(c) |
printwith("same", sys.exc_info() |
sys.exc_info() |
test_complex_ctor(self) |
la.extend(ln) |
la.extend(ls) |
printwith("case", complex_case_repr(s) |
complex(s) |
printwithtype(c) |
printwith("same", sys.exc_info() |
sys.exc_info() |
printwith("case", "real only", complex_case_repr(s) |
complex(real=s) |
printwithtype(c) |
printwith("same", sys.exc_info() |
sys.exc_info() |
printwith("case", "imag only", complex_case_repr(s) |
complex(imag=s) |
printwithtype(c) |
printwith("same", sys.exc_info() |
sys.exc_info() |
printwith("case", complex_case_repr(s1, s2) |
complex(s1, s2) |
printwithtype(c) |
printwith("same", sys.exc_info() |
sys.exc_info() |
test_bigint(self) |
range(10) |
str(x) |
range(1, 50, 7) |
l.append(int(s[startx:startx + length]) |
print(x, y) |
printwith('case', '%s, %s' % (x, y) |
printwith('same', x+y) |
printwith('same', x-y) |
printwith('same', x*y) |
printwith('same', x/y) |
divmod(x, y) |
printwithtype(t[0]) |
printwithtype(t[1]) |
l.remove(5.89) |
l.remove(True) |
range(1, 100, 7) |
printwith('case', a, x, y) |
printwith('same', pow(a, x, y) |
test_file_mode(self) |
modes.append(x + y + z) |
modes.append(x + y + z) |
printwith('case', m) |
file(filename, m) |
str(f) |
s.find('at') |
printwith('same', s[:atPos]) |
f.close() |
printwith("same", 'throw') |
runtests(test_builtin) |
Migration(migrations.Migration) |
models.DateTimeField(default=datetime.datetime(2021, 5, 31, 11, 45, 20, 503212) |
models.CharField(max_length=200) |
Describe(base.DescribeCommand) |
Args(parser) |
flags.API_VERSION_FLAG.AddToParser(parser) |
Run(self, args) |
main() |
process_arguments() |
o3c.Device("cuda:0") |
tsdf.default_voxel_grid.make_default_tsdf_voxel_grid(device) |
frame_dataset.load_depth_image_open3d(device) |
frame_dataset.load_color_image_open3d(device) |
data.camera.load_open3d_intrinsics_from_text_4x4_matrix_and_image(frame_dataset.get_intrinsics_path() |
frame_dataset.get_depth_image_path() |
o3d.core.Tensor(intrinsics_open3d_cpu.intrinsic_matrix, o3d.core.Dtype.Float32, device) |
o3d.core.Tensor.eye(4, o3d.core.Dtype.Float32, device) |
volume.integrate(depth_image, color_image, intrinsics_open3d_cuda, extrinsics_open3d_cuda, DeformNetParameters.depth_scale.value, 3.0) |
volume.extract_surface_mesh(-1, 0) |
to_legacy_triangle_mesh() |
PyTorch3DRenderer((depth_image.rows, depth_image.columns) |
np.array([0.0855289, -0.03289237, 2.79831315], dtype=np.float32) |
scale_mesh_y(mesh: o3d.geometry.TriangleMesh, factor: float) |
np.array(mesh.vertices) |
o3d.geometry.TriangleMesh(o3d.cuda.pybind.utility.Vector3dVector(stretched_vertices) |
os.path.join(PathParameters.output_directory.value, "berlin_y_stretch_sequence") |
os.path.join(root_output_directory, "depth") |
os.path.exists(depth_output_directory) |
os.makedirs(depth_output_directory) |
os.path.join(root_output_directory, "color") |
os.path.exists(color_output_directory) |
os.makedirs(color_output_directory) |
range(0, frame_count) |
scale_mesh_y(original_mesh, 1.0 + scale_factor_increment * i_frame) |
renderer.render_mesh_legacy(scaled_mesh, depth_scale=1000.0) |
os.path.join(color_output_directory, f"{i_frame:06d}.jpg") |
os.path.join(depth_output_directory, f"{i_frame:06d}.png") |
cv2.imwrite(color_path, color) |
cv2.imwrite(depth_path, depth.astype(np.uint16) |
shutil.copy(frame_dataset.get_intrinsics_path() |
os.path.join(root_output_directory, "intrinsics.txt") |
sys.exit(main() |
rotate_counterclockwise(array_2d) |
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