There is a newer version of dilldill extends python's pickle module for serializing and de-serializing python objects to the majority of the built-in python types. Serialization is the process of converting an object to a byte stream, and the inverse of which is converting a byte stream back to on python object hierarchy.
Accessing dill 0.3.3-GCCcore-10.2.0
To load the module for dill 0.3.3-GCCcore-10.2.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load dill/0.3.3-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 dill website.
This version of dill has a direct dependency on: GCCcore/10.2.0 Python/3.8.6-GCCcore-10.2.0
This version of dill is a direct dependent of: cell2location/0.05-alpha-foss-2020b cell2location/0.05-alpha-fosscuda-2020b pathos/0.2.7-foss-2020b PyMC3/3.11.1-foss-2020b PyMC3/3.11.1-fosscuda-2020b
These versions of dill 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.
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Last modified on 21st May 2021