>h"SrSSKJrJr SSjrg)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_doccSSKJnJn U"XS9nU"U5nUS:XaSSKnUR 5nOXVU4$![a SSKJnJn NCf=f![[4a3 SSKnUR[R"S5[5 SnN^f=f![a; SSKnUR[R"S5[5 SnUn[nNf=f) aReturn parallel instance with delayed function Util function to use joblib only if available Parameters ---------- func : callable A function n_jobs : int Number of jobs to run in parallel verbose : int Verbosity level Returns ------- parallel : instance of joblib.Parallel or list The parallel object my_func : callable func if not parallel or delayed(func) n_jobs : int Number of jobs >= 0 Examples -------- >>> from math import sqrt >>> from statsmodels.tools.parallel import parallel_func >>> parallel, p_func, n_jobs = parallel_func(sqrt, n_jobs=-1, verbose=0) >>> print(n_jobs) >>> parallel(p_func(i**2) for i in range(10)) r)Paralleldelayed)verboseNmultiprocessingjoblib)r rr ImportErrorsklearn.externals.joblibr cpu_countNotImplementedErrorwarningswarnrformatrlist) funcn_jobsrrrparallelmy_funcr rs mC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\statsmodels/tools/parallel.py parallel_funcrs> C 0F4$- R< &(224 " f $$/ C B B C !45  4;;r s E9%r