tni RdZddlZddlZgdZdefdZdefdZdefdZdefdZdS) zThe bag of utility functions.N)dumbNreturnctrdStrdStjsdSt jdd}|r|}|tvrdSdS)zIGuess if we are an interactive session and can render real progress bars.TFTERMN) is_notebookis_continous_integrationsysstdoutisattyosenvirongetlowerNON_INTERACTIVE_TERM_VALUES)terms P/var/www/html/gpu-tools/venv/lib/python3.11/site-packages/tqdm_loggable/utils.pyis_interactive_sessionrs}}t!!u :    u :>>&$ ' 'D zz|| ***u 4cv ddlm}d|jvrdSn#t$rYdSt$rYdSwxYwdS)z3Guess if we are an in Jupyter notebook environment.r get_ipython IPKernelAppFT)IPythonrconfig ImportErrorAttributeErrorrs rrr*sw''''''  4 4 45 5 uu uu 4s 6 66cdtjvS)a(Disable progress bars in continous integration systems. Github Actions (and other CI) may allocate an interactive terminal for a job. However, in case of Github, they do not seem to be able to refresh the progress bar correctly, floooding the CI log with progress bar lines. CI)r rrrr r 8s 2: rcJtjdddkS)aGuess if we are in a session where only stdout is available. Datalore is an example of such environment. Datalore provides code autocompletion and documentation pop ups, as well as other features that make it desirable to use. See https://www.jetbrains.com/datalore/ A code report has been privately logged to Datalore support for enquiring about the feature disparity between Datalore and Jupyter Notebooks. AGENT_MANAGER_HOSTNdatalore)r rrr rris_stdout_only_sessionr$Ds  :>>. 5 5 CCr) __doc__r r rboolrrr r$r rrr's## 100, T     $     D D D D D D Dr