Yes, basically when I enable this option, I get this error.
Here’s the traceback:
Progress: [▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇] 56/56 (100%)
Transferred: subtracted_particles_B_9.mrcs (76.29 MiB)
Threads: 2
Avg speed: 490.65 MiB/s
Remaining: 0h 00m 00s (0.00 B)
Elapsed: 0h 00m 08s
Active jobs: P1-J444, P1-J443
SSD cache complete for 56 file(s)
──────────────────────────────────────────────────────────────
CPU: 563.9 MB
Done.
CPU: 563.9 MB
Windowing particles
CPU: 564.5 MB
Done.
CPU: 564.5 MB
====== Box sizes ======
CPU: 564.5 MB
Input particles have box size 200
CPU: 564.6 MB
Input particles have pixel size 3.4264
CPU: 564.6 MB
Particles will be zeropadded/truncated to size 200 during alignment
CPU: 564.6 MB
Volume refinement will be done with effective box size 200
CPU: 564.6 MB
Volume refinement will be done with pixel size 3.4264
CPU: 564.6 MB
Particles will be zeropadded/truncated to size 200 during backprojection
CPU: 564.6 MB
Particles will be backprojected with box size 200
CPU: 564.7 MB
Volume will be internally cropped and stored with box size 200
CPU: 564.7 MB
Volume will be interpolated with box size 200 (zeropadding factor 1.00)
CPU: 564.7 MB
====== Masking ======
CPU: 747.9 MB
A mask input was connected.
CPU: 747.9 MB
Resampling initial mask to specified volume representation size and pixel-size..
CPU: 778.5 MB
Static masking was enabled.
CPU: 778.5 MB
====== Local Refinement ======
CPU: 778.9 MB
Searching over rotation extent of 5.00 degrees.
CPU: 778.9 MB
Searching over shift extent of 5.00 Angstroms.
CPU: 778.9 MB
Using a rotation prior with stdev of 15.00 degrees.
CPU: 778.9 MB
Using a shift prior with stdev of 7.00 Angstroms.
CPU: 778.9 MB
Re-centering poses each iteration.
CPU: 778.9 MB
Re-centering shifts each iteration.
CPU: 778.9 MB
Running 7 branch and bound iterations to align particles to 0.020 degrees
CPU: 779.1 MB
====== Non-Uniform Refinement ======
CPU: 779.1 MB
Non-Uniform Refinement is enabled.
CPU: 779.1 MB
Using AWF of 3.00.
CPU: 779.1 MB
Using butterworth filter with order 2.
CPU: 779.1 MB
====== Gold Standard Split ======
CPU: 779.1 MB
Particles have input alignments3D connected, so reusing pre-existing split
CPU: 779.1 MB
Set A is smaller than set B by 125 particles (0.46 percent difference relative to the total dataset).
CPU: 779.1 MB
Split A has 13515 particles
CPU: 779.1 MB
Split B has 13640 particles
CPU: 779.1 MB
====== Refinement ======
CPU: 779.1 MB
DC components of images will be ignored and volume will be floated at each iteration.
CPU: 779.1 MB
Spherical windowing of maps is enabled
CPU: 833.9 MB
Refining with T symmetry enforced
CPU: 833.9 MB
Resetting input per-particle scale factors to 1.0
CPU: 834.0 MB
Starting at initial resolution 12.000A (radwn 57.107).
CPU: 834.2 MB
Initializing noise model… (1/2)
CPU: 1.03 GB
Done in 3.876s.
Noise Model Initialization (1/2)
[png][pdf]

CPU: 1.04 GB
====== Initial Model ======
Input Mask Real Space Slices
[png][pdf]

CPU: 1.04 GB
Resampling initial model to specified volume representation size and pixel-size…
CPU: 1.08 GB
Estimating scale of initial reference.
CPU: 1.20 GB
Rescaling initial reference by a factor of 1.157
CPU: 942.0 MB
Traceback (most recent call last):
File “cli/run.py”, line 106, in cli.run.run_job
File “cli/run.py”, line 211, in cli.run.run_job_function
File “compute/jobs/local_refine/run_localrefine.py”, line 606, in compute.jobs.local_refine.run_localrefine.run_local_refine
UnboundLocalError: local variable ‘map_r’ referenced before assignment