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Versions installed in Pawsey systems

To check the current installed versions, use the module avail command (current versions may be different from content shown here):

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Code Block
languagebash
themeDJango
titleTerminal 1. Checking for installed versions
$ module avail python
--------------------- /software/setonix/2024.05/modules/zen3/gcc/12.2.0/programming-languages ---------------------
   python/3.9.15    python/3.11.6 (D)

--------------------------------------- /opt/cray/pe/lmod/modulefiles/core ----------------------------------------
   cray-python/3.9.13.1    cray-python/3.10.10 (D)


We recommend the use of python installed by Pawsey instead of cray-python.

Many scientific and managing tools have been also installed in our software stack. These are named with the prefix py-, and sometimes their flavour is also identified by a suffix -py<VERSION> after the version corresponding to the tool itself (current versions may be different from content shown here):

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Code Block
languagebash
themeDJango
titleTerminal 1. Checking for installed versions
$ module avail py-
---------------------- /software/setonix/2024.05/modules/zen3/gcc/12.2.0/astro-applications -----------------------
   py-astropy/4.2.1    py-astropy/5.1 (D)    py-emcee/3.1.1    py-funcsigs/1.0.2

--------------------------- /software/setonix/2024.05/modules/zen3/gcc/12.2.0/utilities ---------------------------
   py-boto3/1.26.26              py-setuptools/59.4.0-py3.9.15    py-setuptools/68.0.0-py3.11.6 (D)
   py-pip/23.1.2-py3.9.15        py-setuptools/59.4.0-py3.11.6
   py-pip/23.1.2-py3.11.6 (D)    py-setuptools/68.0.0-py3.9.15

------------------------ /software/setonix/2024.05/modules/zen3/gcc/12.2.0/python-packages ------------------------
   py-cython/0.29.36         py-ipython/8.14.0           py-numpy/1.24.4         py-scikit-learn/1.3.2
   py-cython/3.0.4    (D)    py-matplotlib/3.8.1         py-numpy/1.26.1  (D)    py-scipy/1.11.3
   py-dask/2023.4.1          py-mpi4py/3.1.5-py3.11.6    py-pandas/1.5.3
   py-h5netcdf/0.10.0        py-netcdf4/1.6.2            py-pandas/2.1.2  (D)
   py-h5py/3.8.0             py-numba/0.57.0             py-plotly/5.14.1

------------------------ /software/setonix/2024.05/modules/zen3/gcc/12.2.0/developer-tools ------------------------
   py-hatchet/1.3.1


Before you begin

Basic information on these installation tools can be found in their websites (external links):

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Pawsey Python modules also preconfigure the shell environment by default to provide a meaningful location for user-specific package installations:

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Code Block
languagebash
themeDJango
titleTerminal 1: Set up environment for pip
$ module load python/3.11.6<VERSION_OF_PYTHON>
$ module load py-pip/23.1.2-py3.11.6<VERSION>-py<VERSION_OF_PYTHON>

$ module load py-numpy/1.26.1<VERSION>


Now let's proceed with the installation. We're going to use pip with the --user  flag to install in the Python user directory. (Users cannot install software in system directories on shared Pawsey supercomputer systems.)

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Code Block
languagebash
themeDJango
titleTerminal 4: Pip install from requirements
$ module load python/3.9.7<VERSION_OF_PYTHON>
$ module load py-pip/21.1.2-py3.9.7<VERSION>-py<VERSION_OF_PYTHON>

$ module load py-numpy/1.20.3<VERSION>

$ sg <projectcode> -c 'pip install --user --no-deps -r requirements.txt'
Collecting astropy==4.1 (from -r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/74/9c/a1e51955d4a2af497a507c323409ebe55c122a91c438d2884d918360efc1/astropy-4.1-cp36-cp36m-manylinux1_x86_64.whl (10.3MB)
     |████████████████████████████████| 10.3MB 16.0MB/s 
Requirement already satisfied: numpy==1.19.0 in /pawsey/sles12sp3/python/3.6.3/numpy/1.19.0/lib/python3.6/site-packages/numpy-1.19.0-py3.6-linux-x86_64.egg (from -r requirements.txt (line 2)) (1.19.0)
Installing collected packages: astropy
Successfully installed astropy-4.1


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Change to the tqdm source code directory and then load the required modules, namely python and py-setuptools:

$ module load python/3.9.7 <VERSION_OF_PYTHON> py-setuptools/57.4.0-py3.9.7<VERSION>-py<VERSION_OF_PYTHON>

Finally, execute the build and installation process:

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