RosettaCommons / RosettaCommons/RFdiffusion

TypeError: __init__() got an unexpected keyword argument 'inpaint_str_helix'

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Python
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Description

Hello, every time I've attempted to run the inference script I keep running into the same error. Not sure what exactly the cause is, but even the example scripts provided in the repo are throwing out this same error

Error executing job with overrides: ['contigmap.contigs=[A8-37/7-12/A38-115]', 'inference.input_pdb=monomeric.pdb', 'inference.output_prefix=residue_replacement', 'inference.num_designs=10']
Traceback (most recent call last):
File "/scache/scratch/user/RFdiffusion/scripts/run_inference.py", line 84, in main
x_init, seq_init = sampler.sample_init()
File "/projectsp/projectsuser/Tools/RFdiffusion/rfdiffusion/inference/model_runners.py", line 277, in sample_init
self.contig_map = self.construct_contig(self.target_feats)
File "/projectsp/projectsuser/Tools/RFdiffusion/rfdiffusion/inference/model_runners.py", line 240, in construct_contig
return ContigMap(target_feats, **self.contig_conf)
TypeError: init() got an unexpected keyword argument 'inpaint_str_helix'

I am a new user of the software so I assume this error is fairly trivial but I have not been able to run any scripts whatsoever. Any help would be greatly appreciated.

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with scripts/run_inference.py and follow the traceback into rfdiffusion/inference/model_runners.py, especially construct_contig and the ContigMap call. Compare the configuration passed as contig_conf with the ContigMap initializer and reproduce the failure using one of the example scripts. Done means the example inference scripts run without the unexpected inpaint_str_helix argument error.

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Assessment

Tech stack
python
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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