Colabfold 1.4 failing again

Expected Behavior

load dependencies, proceed to "run prediction"

Current Behavior

fails during "load dependencies"

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.

copied version 1.4 to my own Drive, and ran sequence from there.

ColabFold Output (for bugs)

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

Lines between >>> and <<< is output observed

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ERROR: Package 'colabfold' requires a different Python: 3.9.16 not in '<3.9,>=3.7.1'
---------------------------------------------------------------------------
CalledProcessError                        Traceback (most recent call last)
[<ipython-input-4-d5791e1fcfce>](https://localhost:8080/#) in <module>
----> 1 get_ipython().run_cell_magic('bash', '-s $use_amber $use_templates $python_version', '\nset -e\n\nUSE_AMBER=$1\nUSE_TEMPLATES=$2\nPYTHON_VERSION=$3\n\nif [ ! -f COLABFOLD_READY ]; then\n  # install dependencies\n  # We have to use "--no-warn-conflicts" because colab already has a lot preinstalled with requirements different to ours\n  pip install -q --no-warn-conflicts "colabfold[alphafold-minus-jax] @ git+https://github.com/sokrypton/ColabFold@v1.4.0" "tensorflow-cpu==2.7.4"\n  pip uninstall -yq jax jaxlib\n  pip install -q "jax[cuda]==0.3.25" -f [https://storage.googleapis.com/jax-releases/jax_cuda_releases.html\n](https://storage.googleapis.com/jax-releases/jax_cuda_releases.html/n)  touch COLABFOLD_READY\nfi\n\n# setup conda\nif [ ${USE_AMBER} == "True" ] || [ ${USE_TEMPLATES} == "True" ]; then\n  if [ ! -f CONDA_READY ]; then\n    wget -qnc [https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n](https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh/n)    bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local 2>&1 1>/dev/null\n    rm Miniconda3-latest-Linux-x86_64.sh\n    touch CONDA_READY\n  fi\nfi\n# setup template search\nif [ ${USE_TEMPLATES} == "True" ] && [ ! -f HH_READY ]; then\n  conda install -y -q -c conda-forge -c bioconda kalign2=2.04 hhsuite=3.3.0 python="${PYTHON_VERSION}" 2>&1 1>/dev/null\n  touch HH_READY\nfi\n# setup openmm for amber refinement\nif [ ${USE_AMBER} == "True" ] && [ ! -f AMBER_READY ]; then\n  conda install -y -q -c co...

4 frames
<decorator-gen-103> in shebang(self, line, cell)

[/usr/local/lib/python3.9/dist-packages/IPython/core/magics/script.py](https://localhost:8080/#) in shebang(self, line, cell)
    243             sys.stderr.flush()
    244         if args.raise_error and p.returncode!=0:
--> 245             raise CalledProcessError(p.returncode, cell, output=out, stderr=err)
    246 
    247     def _run_script(self, p, cell, to_close):

CalledProcessError: Command 'b'\nset -e\n\nUSE_AMBER=$1\nUSE_TEMPLATES=$2\nPYTHON_VERSION=$3\n\nif [ ! -f COLABFOLD_READY ]; then\n  # install dependencies\n  # We have to use "--no-warn-conflicts" because colab already has a lot preinstalled with requirements different to ours\n  pip install -q --no-warn-conflicts "colabfold[alphafold-minus-jax] @ git+https://github.com/sokrypton/ColabFold@v1.4.0" "tensorflow-cpu==2.7.4"\n  pip uninstall -yq jax jaxlib\n  pip install -q "jax[cuda]==0.3.25" -f [https://storage.googleapis.com/jax-releases/jax_cuda_releases.html\n](https://storage.googleapis.com/jax-releases/jax_cuda_releases.html/n)  touch COLABFOLD_READY\nfi\n\n# setup conda\nif [ ${USE_AMBER} == "True" ] || [ ${USE_TEMPLATES} == "True" ]; then\n  if [ ! -f CONDA_READY ]; then\n    wget -qnc [https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n](https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh/n)    bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local 2>&1 1>/dev/null\n    rm Miniconda3-latest-Linux-x86_64.sh\n    touch CONDA_READY\n  fi\nfi\n# setup template search\nif [ ${USE_TEMPLATES} == "True" ] && [ ! -f HH_READY ]; then\n  conda install -y -q -c conda-forge -c bioconda kalign2=2.04 hhsuite=3.3.0 python="${PYTHON_VERSION}" 2>&1 1>/dev/null\n  touch HH_READY\nfi\n# setup openmm for amber refinement\nif [ ${USE_AMBER} == "True" ] && [ ! -f AMBER_READY ]; then\n  conda install -y -q -c conda-forge openmm=7.5.1 python="${PYTHON_VERSION}" pdbfixer 2>&1 1>/dev/null\n  touch AMBER_READY\nfi\n'' returned non-zero exit status 1.

<<<

Context

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Your Environment

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• Operating system and version:

Start with the ColabFold 1.4 notebook's dependency-install cell and the reported Python version error: colabfold requires Python below 3.9, while the environment is Python 3.9.16. Reproduce after a Colab Factory Reset, then verify that dependency loading completes and the notebook reaches "run prediction".