def speedTest(lfcFeature,ldArgs):     

    '''pulling out 2 years data to run test'''
    daData = de.DataAccess('mysql')
    dtStart = dt.datetime(2010, 1, 1)
    dtEnd = dt.datetime(2011, 12, 31)
    dtTimeofday = dt.timedelta(hours=16)
    lsSym = ['AAPL', 'GOOG', 'XOM', 'AMZN', 'BA', 'GILD', '$SPX']

    #print lsSym

    '''set up variables for applyFeatures'''
    lsKeys = ['open', 'high', 'low', 'close', 'volume', 'actual_close']
    ldtTimestamps = du.getNYSEdays( dtStart, dtEnd, dtTimeofday)
    ldfData = daData.get_data( ldtTimestamps, lsSym, lsKeys)
    dData = dict(zip(lsKeys, ldfData))
    
    '''loop through features'''
    ltResults = []
    for i in range(len(lfcFeature)):
        dtFuncStart = dt.datetime.now()
        ldfFeatures = applyFeatures( dData, [lfcFeature[i]], [ldArgs[i]], 
                                     sMarketRel='$SPX')
        ltResults.append((dt.datetime.now() - dtFuncStart, 
                         lfcFeature[i].__name__ + ' : ' + str(ldArgs[i])))
    ltResults.sort()
    
    '''print out result'''
    for tResult in ltResults:
        print tResult[1], ':', tResult[0]
    
    return ltResults
Get all the score functions configured in a score panel.
dataset/ETHPy150Open QuantSoftware/QuantSoftwareToolkit/QSTK/qstkfeat/featutil.py/speedTest--crossover with--dataset/ETHPy150Open PublicMapping/DistrictBuilder/django/publicmapping/redistricting/__init__.py/StoredConfig.filter_paneled_score_functions