sokrypton / sokrypton/ColabFold

Computer crashed while downloading zipped results, how can I recover data?

Open
#404 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Jupyter Notebook
Stars
2.9k
Forks
747
PR merge metrics
No merged PRs in 30d

Description

Expected Behavior

Current Behavior

After completing an multimer prediction of 2 proteins (job title MouseMDA5_XRN111185) using Python 3 Google Compute Engine backend (GPU) I was downloading the zipped results when my computer crashed. Now I am unable to reconnect to the prior session and download my data. Is there any way to recover the lost data?

Steps to Reproduce (for bugs)

Please make sure to reproduce the issue after a "Factory Reset" in Colab.
If running locally ypdate you local installation colabfold_batch to the newest version.
Please provide your input if you can share it.

ColabFold Output (for bugs)

Please make sure to also post the complete ColabFold output. You can use gist.github.com for large output.

Context

Providing context helps us come up with a solution and improve our documentation for the future.

Your Environment

Include as many relevant details about the environment you experienced the bug in.

  • Git commit used
  • If you run it on a local system. Please add the server specifications
  • Operating system and version:

Contributor guide

Open the contributing guide

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

No files, tests, or entry points are named. Start by examining how Colab and Google Compute Engine sessions store completed results after a disconnected download; done would mean determining whether the prior results can be recovered and documenting a verified recovery path or the data-loss limitation.

Written by the indexing model from the issue text.

Assessment

Tech stack
google-cloud, jupyter-notebook, python
Domain
backend, cloud
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.