PyYAML 5.4.1-GCCcore-10.3.0

There is a newer version of PyYAML

PyYAML is a YAML parser and emitter for the Python programming language.

Accessing PyYAML 5.4.1-GCCcore-10.3.0

To load the module for PyYAML 5.4.1-GCCcore-10.3.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load PyYAML/5.4.1-GCCcore-10.3.0

BEAR Apps Version

2021a

Architectures

EL8-cascadelakeEL8-haswellEL8-icelake

The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.

More Information

For more information visit the PyYAML website.

Dependencies

This version of PyYAML has a direct dependency on: GCCcore/10.3.0 libyaml/0.2.5-GCCcore-10.3.0 Python/3.9.5-GCCcore-10.3.0

Required By

This version of PyYAML is a direct dependent of: AlphaFold/2.1.1-foss-2021a-CUDA-11.3.1 AlphaFold/2.1.1-foss-2021a astropy/5.0.4-foss-2021a bokeh/2.4.1-foss-2021a dask/2021.9.1-foss-2021a deepBlink/0.1.2-foss-2021a deepBlink/0.1.2-foss-2021a-CUDA-11.3.1 Horovod/0.23.0-foss-2021a-CUDA-11.3.1-PyTorch-1.10.0 Horovod/0.23.0-foss-2021a-CUDA-11.3.1-TensorFlow-2.6.0 Open3D/0.15.1-foss-2021a PyTorch/1.10.0-foss-2021a PyTorch/1.10.0-foss-2021a-CUDA-11.3.1 PyTorch/1.9.1-foss-2021a-CUDA-11.3.1-imkl PyTorch/1.9.1-foss-2021a-imkl YACS/0.1.8-GCCcore-10.3.0

Other Versions

These versions of PyYAML are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 11th October 2021