There is a newer version of PyYAMLPyYAML is a YAML parser and emitter for the Python programming language.
Accessing PyYAML 5.3.1-GCCcore-10.2.0
To load the module for PyYAML 5.3.1-GCCcore-10.2.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load PyYAML/5.3.1-GCCcore-10.2.0
BEAR Apps Version
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.
For more information visit the PyYAML website.
This version of PyYAML has a direct dependency on: GCCcore/10.2.0 libyaml/0.2.5-GCCcore-10.2.0 Python/2.7.18-GCCcore-10.2.0 Python/3.8.6-GCCcore-10.2.0
This version of PyYAML is compatible with multiple vesions of Python. At any time, only one of the versions of Python can be active and the desired version of Python should be loaded before loading this version of PyYAML.
This version of PyYAML is a direct dependent of: bokeh/2.3.1-fosscuda-2020b bokeh/2.3.1-foss-2020b Cartopy/0.18.0-foss-2020b dask/2021.4.0-foss-2020b dask/2021.4.0-fosscuda-2020b GCPy/1.0.3-foss-2020b holoviews/1.14.3-foss-2020b Horovod/0.21.1-fosscuda-2020b-PyTorch-1.7.1 Horovod/0.21.1-fosscuda-2020b-TensorFlow-2.4.1 iterative-Random-Forest/0.2.5-foss-2020b Keras/2.4.3-fosscuda-2020b PyTorch/1.7.1-foss-2020b PyTorch/1.7.1-fosscuda-2020b
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 22nd February 2021