ó áp7]c@s<dZddlmZddlmZmZdd„ZdS(sParallel 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, (doesn't import all of sklearn) iÿÿÿÿ(tprint_function(tModuleUnavailableWarningtmodule_unavailable_docic Cs.yÖyddlm}m}Wn'tk rFddlm}m}nX||d|ƒ}||ƒ}|dkrÕyddl}|jƒ}WqÕttfk rÑddl}|j t j dƒt ƒd}qÕXnWnHtk r ddl}|j t j dƒt ƒd}|}t }nX|||fS(sðReturn 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)) iÿÿÿÿ(tParalleltdelayedtverboseNtmultiprocessingitjoblib(RRRt ImportErrortsklearn.externals.joblibRt cpu_counttNotImplementedErrortwarningstwarnRtformatRtlist( tfunctn_jobsRRRtparalleltmy_funcRR ((s9lib/python2.7/site-packages/statsmodels/tools/parallel.pyt parallel_funcs0        N(t__doc__t __future__Rtstatsmodels.tools.sm_exceptionsRRR(((s9lib/python2.7/site-packages/statsmodels/tools/parallel.pyt s