numpy issue

[sheng19331]

HI

Thanks for sharing the great work.
It seems the numpy 1.20 has conflicts when it is installed under python=3.10 based on your instruction. Could you check that?

Best
Sheng

[ChengQin01]

I get the same issue. Is there any resolution?

[CAODH]

HI

Thanks for sharing the great work. It seems the numpy 1.20 has conflicts when it is installed under python=3.10 based on your instruction. Could you check that?

Best Sheng

hi sheng; thanks for this comment , please install numpy==1.24.4

[CAODH]

I get the same issue. Is there any resolution?

please install numpy==1.24.4

[sheng19331]

HI
Thanks for sharing the great work. It seems the numpy 1.20 has conflicts when it is installed under python=3.10 based on your instruction. Could you check that?
Best Sheng

hi sheng; thanks for this comment , please install numpy==1.24.4

Hi
Thanks for the solution. The installation works until the step 'pip install -U --no-cache-dir spyrmsd scikit-learn==1.3.2 accelerate==0.15.0 biopython==1.79 e3nn==0.5.1 huggingface-hub==0.17.3 mdanalysis==2.4.0 posebusters==0.2.7 rdkit==2023.3.1 tokenizers==0.13.3 transformers==4.29.2 wandb==0.16.1'

I think numpy still has compatibility problems with the other packages. I am not sure if this is a general problem for the others.

Below is the error in cmd:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
colabfold 1.5.5 requires absl-py<2.0.0,>=1.0.0, which is not installed.
colabfold 1.5.5 requires dm-haiku<0.0.13,>=0.0.12, which is not installed.
colabfold 1.5.5 requires py3Dmol<3.0.0,>=2.0.1, which is not installed.
tensorflow-cpu 2.13.1 requires absl-py>=1.0.0, which is not installed.
tensorflow-cpu 2.13.1 requires astunparse>=1.6.0, which is not installed.
tensorflow-cpu 2.13.1 requires flatbuffers>=23.1.21, which is not installed.
tensorflow-cpu 2.13.1 requires google-pasta>=0.1.1, which is not installed.
tensorflow-cpu 2.13.1 requires grpcio<2.0,>=1.24.3, which is not installed.
tensorflow-cpu 2.13.1 requires h5py>=2.9.0, which is not installed.
tensorflow-cpu 2.13.1 requires keras<2.14,>=2.13.1, which is not installed.
tensorflow-cpu 2.13.1 requires libclang>=13.0.0, which is not installed.
tensorflow-cpu 2.13.1 requires tensorboard<2.14,>=2.13, which is not installed.
tensorflow-cpu 2.13.1 requires tensorflow-estimator<2.14,>=2.13.0, which is not installed.
tensorflow-cpu 2.13.1 requires tensorflow-io-gcs-filesystem>=0.23.1; platform_machine != "arm64" or platform_system != "Darwin", which is not installed.
tensorflow-cpu 2.13.1 requires termcolor>=1.1.0, which is not installed.
tensorflow-cpu 2.13.1 requires wrapt>=1.11.0, which is not installed.
colabfold 1.5.5 requires importlib-metadata<5.0.0,>=4.8.2, but you have importlib-metadata 8.5.0 which is incompatible.
colabfold 1.5.5 requires pandas<2.0.0,>=1.3.4, but you have pandas 2.1.2 which is incompatible.
tensorflow-cpu 2.13.1 requires numpy<=1.24.3,>=1.22, but you have numpy 1.24.4 which is incompatible.
tensorflow-cpu 2.13.1 requires typing-extensions<4.6.0,>=3.6.6, but you have typing-extensions 4.12.2 which is incompatible.
prody 2.4.0 requires numpy<1.24,>=1.10, but you have numpy 1.24.4 which is incompatible.

[CAODH]

HI
Thanks for sharing the great work. It seems the numpy 1.20 has conflicts when it is installed under python=3.10 based on your instruction. Could you check that?
Best Sheng

hi sheng; thanks for this comment , please install numpy==1.24.4

Hi Thanks for the solution. The installation works until the step 'pip install -U --no-cache-dir spyrmsd scikit-learn==1.3.2 accelerate==0.15.0 biopython==1.79 e3nn==0.5.1 huggingface-hub==0.17.3 mdanalysis==2.4.0 posebusters==0.2.7 rdkit==2023.3.1 tokenizers==0.13.3 transformers==4.29.2 wandb==0.16.1'

I think numpy still has compatibility problems with the other packages. I am not sure if this is a general problem for the others.

Below is the error in cmd: ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. colabfold 1.5.5 requires absl-py<2.0.0,>=1.0.0, which is not installed. colabfold 1.5.5 requires dm-haiku<0.0.13,>=0.0.12, which is not installed. colabfold 1.5.5 requires py3Dmol<3.0.0,>=2.0.1, which is not installed. tensorflow-cpu 2.13.1 requires absl-py>=1.0.0, which is not installed. tensorflow-cpu 2.13.1 requires astunparse>=1.6.0, which is not installed. tensorflow-cpu 2.13.1 requires flatbuffers>=23.1.21, which is not installed. tensorflow-cpu 2.13.1 requires google-pasta>=0.1.1, which is not installed. tensorflow-cpu 2.13.1 requires grpcio<2.0,>=1.24.3, which is not installed. tensorflow-cpu 2.13.1 requires h5py>=2.9.0, which is not installed. tensorflow-cpu 2.13.1 requires keras<2.14,>=2.13.1, which is not installed. tensorflow-cpu 2.13.1 requires libclang>=13.0.0, which is not installed. tensorflow-cpu 2.13.1 requires tensorboard<2.14,>=2.13, which is not installed. tensorflow-cpu 2.13.1 requires tensorflow-estimator<2.14,>=2.13.0, which is not installed. tensorflow-cpu 2.13.1 requires tensorflow-io-gcs-filesystem>=0.23.1; platform_machine != "arm64" or platform_system != "Darwin", which is not installed. tensorflow-cpu 2.13.1 requires termcolor>=1.1.0, which is not installed. tensorflow-cpu 2.13.1 requires wrapt>=1.11.0, which is not installed. colabfold 1.5.5 requires importlib-metadata<5.0.0,>=4.8.2, but you have importlib-metadata 8.5.0 which is incompatible. colabfold 1.5.5 requires pandas<2.0.0,>=1.3.4, but you have pandas 2.1.2 which is incompatible. tensorflow-cpu 2.13.1 requires numpy<=1.24.3,>=1.22, but you have numpy 1.24.4 which is incompatible. tensorflow-cpu 2.13.1 requires typing-extensions<4.6.0,>=3.6.6, but you have typing-extensions 4.12.2 which is incompatible. prody 2.4.0 requires numpy<1.24,>=1.10, but you have numpy 1.24.4 which is incompatible.

Thanks for your reply! you can try install our pkgs in a new conda env .