original exact_z_visible 0.0 0 0.0 1 pattern False
original exact_z_visible 0.0 0 0.0 -1 pattern False
original exact_z_visible 0.0 0 0.0 0 pattern True
original exact_z_visible 0.0 0 0.25 1 pattern False
original exact_z_visible 0.0 0 0.25 -1 pattern False
original exact_z_visible 0.0 0 0.25 0 pattern True
original exact_z_visible 0.0 0 -0.25 1 pattern False
original exact_z_visible 0.0 0 -0.25 -1 pattern False
original exact_z_visible 0.0 0 -0.25 0 pattern True
Traceback (most recent call last):
  File "/workspace/Calibrex/tools/evaluate_disparity_pattern.py", line 117, in <module>
    run(args.plan, args.output)
  File "/workspace/Calibrex/tools/evaluate_disparity_pattern.py", line 66, in run
    result = solve(batch, initial)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/Calibrex/tools/joint_disparity_pattern.py", line 65, in solve
    fit = search(objective)
          ^^^^^^^^^^^^^^^^^
  File "/workspace/Calibrex/tools/joint_disparity_pattern.py", line 40, in search
    value = objective(candidate)
            ^^^^^^^^^^^^^^^^^^^^
  File "/workspace/Calibrex/tools/joint_disparity_pattern.py", line 62, in objective
    return soft_cost(residuals(batch, pose, float(delta[6]))[1])
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/Calibrex/tools/joint_disparity_bias.py", line 34, in residuals
    sampled_residual, supported = depth_residual(replace(o, depth_map=disparity), pose)
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/Calibrex/tools/joint_metric_pose.py", line 36, in depth_residual
    samples = np.stack([depth[y, x], depth[y, x + 1], depth[y + 1, x], depth[y + 1, x + 1]], axis=1)
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/workspace/work/p0-venv/lib/python3.12/site-packages/numpy/_core/shape_base.py", line 368, in _stack_dispatcher
    def _stack_dispatcher(arrays, axis=None, out=None, *,
    
KeyboardInterrupt