There is a newer version of tqdmA fast, extensible progress bar for Python and CLI
Accessing tqdm 4.61.2-GCCcore-10.3.0
To load the module for tqdm 4.61.2-GCCcore-10.3.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load tqdm/4.61.2-GCCcore-10.3.0
BEAR Apps Version
EL8-cascadelake — EL8-haswell — EL8-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.
For more information visit the tqdm website.
This version of tqdm has a direct dependency on: GCCcore/10.3.0 Python/3.9.5-GCCcore-10.3.0
This version of tqdm is a direct dependent of: CellBender/0.2.0-foss-2021a-CUDA-11.3.1 CellBender/0.2.0-foss-2021a Cellpose/0.6.5-foss-2021a Cellpose/0.6.5-foss-2021a-CUDA-11.3.1 coexist/0.2.2-foss-2021a GTDB-Tk/2.0.0-foss-2021a Megalodon/2.4.2-foss-2021a Open3D/0.15.1-foss-2021a Optuna/2.9.1-foss-2021a pept/0.4.1-foss-2021a PyTorch-Geometric/2.0.4-foss-2021a-CUDA-11.3.1 pytorch-lightning/1.5.7-foss-2021a pytorch-lightning/1.5.7-foss-2021a-CUDA-11.3.1 Remora/0.1.2-foss-2021a scanpy/1.8.1-foss-2021a scVelo/0.2.4-foss-2021a timm/0.6.12-foss-2021a-PyTorch-1.10.0 timm/0.6.12-foss-2021a-CUDA-11.3.1-PyTorch-1.10.0
These versions of tqdm 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 September 2021