tqdm 4.64.0-GCCcore-11.3.0

There is a newer install of tqdm

A fast, extensible progress bar for Python and CLI

Accessing tqdm 4.64.0-GCCcore-11.3.0

To load the module for tqdm 4.64.0-GCCcore-11.3.0 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load bear-apps/2022a
module load tqdm/4.64.0-GCCcore-11.3.0

BEAR Apps Version

2022a

Architectures

EL8-cascadelakeEL8-icelakeEL8-sapphirerapids

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

More Information

For more information visit the tqdm website.

Dependencies

This version of tqdm has a direct dependency on: GCCcore/11.3.0 Python/3.10.4-GCCcore-11.3.0

Required By

This version of tqdm is a direct dependent of: BioServices/1.11.2-foss-2022a Cellpose/2.2-foss-2022a Cellpose/2.2-foss-2022a-CUDA-11.7.0 coexist/0.3.1-foss-2022a DeepLabCut/2.3.6-foss-2022a-CUDA-11.7.0 DeepLabCut/2.3.6-foss-2022a mandrake/1.2.2-foss-2022a MNE-Python/1.3.1-foss-2022a napari/0.4.17-foss-2022a NLTK/3.8-foss-2022a ont-remora/2.0.0-foss-2022a ont-remora/2.0.0-foss-2022a-CUDA-11.7.0 poppunk/2.6.1-foss-2022a pyseer/1.3.11-foss-2022a PyTorch-Lightning/1.9.3-foss-2022a PyTorch-Lightning/2.1.0-foss-2022a-CUDA-11.7.0 PyTorch-Lightning/2.0.2-foss-2022a-CUDA-11.7.0 PyTorch-Lightning/1.9.3-foss-2022a-CUDA-11.7.0 scanpy/1.9.1-foss-2022a SHAP/0.41.0-foss-2022a spaCy/3.4.4-foss-2022a Transformers/4.24.0-foss-2022a-CUDA-11.7.0 Transformers/4.24.0-foss-2022a umap-learn/0.5.3-foss-2022a

Other Versions

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

Last modified on 23rd January 2023