'YHhe dZddlmZmZddZy)aParallel utility function using joblib copied from https://github.com/mne-tools/mne-python Author: Alexandre Gramfort License: Simplified BSD changes for statsmodels (Josef Perktold) - try import from joblib directly, (does not import all of sklearn) )ModuleUnavailableWarningmodule_unavailable_docc ddlm}m}|||}||}|dk(r ddl}|j }|||fS#t$r ddlm}m}YDwxYw#ttf$r2ddl}|jtjdtd}Y\wxYw#t$r:ddl}|jtjdtd}|}t}YwxYw) aReturn parallel instance with delayed function Util function to use joblib only if available Parameters ---------- func : callable A function n_jobs : int Number of jobs to run in parallel verbose : int Verbosity level Returns ------- parallel : instance of joblib.Parallel or list The parallel object my_func : callable func if not parallel or delayed(func) n_jobs : int Number of jobs >= 0 Examples -------- >>> from math import sqrt >>> from statsmodels.tools.parallel import parallel_func >>> parallel, p_func, n_jobs = parallel_func(sqrt, n_jobs=-1, verbose=0) >>> print(n_jobs) >>> parallel(p_func(i**2) for i in range(10)) r)Paralleldelayed)verboseNmultiprocessingjoblib)r rr ImportErrorsklearn.externals.joblibr cpu_countNotImplementedErrorwarningswarnrformatrlist) funcn_jobsrrrparallelmy_funcr rs S/var/www/html/planif/env/lib/python3.12/site-packages/statsmodels/tools/parallel.py parallel_funcrs> C 0FG4$- R< &(224 Wf $$/ C B B C !45  4;;BBBBACCN))__doc__statsmodels.tools.sm_exceptionsrrrrr s E9%r