tqdm 4.64.0-GCCcore-11.3.0
There is a newer install of tqdm
A fast, extensible progress bar for Python and CLIAccessing 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 and BEAR Cloud VMs):
📋
module load bear-apps/2022a
module load tqdm/4.64.0-GCCcore-11.3.0
BEAR Apps Version
Architectures
EL8-cascadelake — EL8-icelake — EL8-sapphirerapids
The listed architectures consist of two parts: 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-CUDA-11.7.0 Cellpose/2.2-foss-2022a 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-CUDA-11.7.0 ont-remora/2.0.0-foss-2022a panaroo/1.5.0-foss-2022a poppunk/2.6.1-foss-2022a pySCENIC/0.12.1-foss-2022a pyseer/1.3.11-foss-2022a PyTorch-Lightning/1.9.3-foss-2022a PyTorch-Lightning/2.0.2-foss-2022a-CUDA-11.7.0 PyTorch-Lightning/1.9.3-foss-2022a-CUDA-11.7.0 PyTorch-Lightning/2.1.0-foss-2022a-CUDA-11.7.0 scanpy/1.9.1-foss-2022a scArches/0.6.1-foss-2022a scArches/0.6.1-foss-2022a-CUDA-11.7.0 SHAP/0.41.0-foss-2022a SignalP/6.0h-foss-2022a-fast 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 and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Last modified on 23rd January 2023