Added a script to generate information useful for debugging

[scap3yvt]

Fixes #802

Proposed Changes

• added a gandlf_debugInfo script to generate relevant debugging information
• updated bug report template to refer to this file
• made a common function to extract git hash information

Checklist

• I have read the CONTRIBUTING guide.
• My PR is based from the current GaNDLF master .
• Non-breaking change (does not break existing functionality): provide as many details as possible for any breaking change.
• Function/class source code documentation added/updated.
• Code has been blacked for style consistency.
• If applicable, version information has been updated in GANDLF/version.py.
• If adding a git submodule, add to list of exceptions for black styling in pyproject.toml file.
• Usage documentation has been updated, if appropriate.
• Tests added or modified to cover the changes; if coverage is reduced, please give explanation.
• If customized dependency installation is required (i.e., a separate pip install step is needed for PR to be functional), please ensure it is reflected in all the files that control the CI, namely: python-test.yml, and all docker files [1,2,3].

[github-actions]

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

[sarthakpati]

LGTM

[codecov]

Codecov Report

Attention: 2 lines in your changes are missing coverage. Please review.

Comparison is base (3af7fff) 95.05% compared to head (94d13ec) 95.04%.
Report is 8 commits behind head on master.

Files	Patch %	Lines
GANDLF/utils/generic.py	71.42%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #803      +/-   ##
==========================================
- Coverage   95.05%   95.04%   -0.02%     
==========================================
  Files         119      119              
  Lines        8287     8288       +1     
==========================================
  Hits         7877     7877              
- Misses        410      411       +1     

Flag	Coverage Δ
unittests	95.04% <80.00%> (-0.02%)	⬇️

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