Releases: dccsillag/logrun
Releases · dccsillag/logrun
v0.2.0
Available on PyPI: https://pypi.org/project/logrun/0.2.0
Available on conda-forge: https://anaconda.org/conda-forge/logrun
Additions:
- By default, reads
LOGRUN_ROOTfrom a JSON configuration file in the current directory. The environment variable still works, and if set overrides the path specified in the config file.
Changes:
experiments_by_{input,output}_filenow use text files with an experiment ID in each line, instead of symlinking to the experiment targz
Fixes:
- Make eval_checksum on directories be deterministic and more robust
v0.1.6
Available on PyPI: https://pypi.org/project/logrun/0.1.6
Available on conda-forge: https://anaconda.org/conda-forge/logrun
Fixes:
- When importing
logrun.internalsfrom a REPL, do not activate logging code - Avoid crashes on source code logging, in particular when there are empty
*.pyfiles - Avoid duplicate input or output files
v0.1.3
Available on PyPI: https://pypi.org/project/logrun/0.1.3/
Available on conda-forge: https://anaconda.org/conda-forge/logrun
Fixes:
outpathensures that the parent directory of the given path exists- Source logging now skips a module if it can't get its source (this only happens with modules that don't have a corresponding
*.pyfile)
v0.1.2
Available on PyPI: https://pypi.org/project/logrun/0.1.2/
Changes:
LOGRUN_ROOT's existence is now only checked when saving the experiment
Fixes:
inpathandoutpathare now working again- Typos in the README