M/Ph ^ddlZddlZejddZdS)NT)strictc ddlm}ddl}ddlm}|}|dt|d|t|d|}t|}|}| |j }tj dd}tj d t|}|t_ n#|t_ wxYw|} ddl} d d | d D} | j| |kdS) Nr)TestOLS)Templatea Summary of Regression Results ======================================= | Dependent Variable: y| | Model: OLS| | Method: Least Squares| | Date: $XXcurrentXdateXX| | Time: $XXtimeXXX| | # obs: 16.0| | Df residuals: 9.0| | Df model: 6.0| ============================================================================== | coefficient std. error t-statistic prob. | ------------------------------------------------------------------------------ | x1 15.06 84.91 0.1774 0.8631 | | x2 -0.03582 0.03349 -1.0695 0.3127 | | x3 -2.020 0.4884 -4.1364 0.0025 | | x4 -1.033 0.2143 -4.8220 0.0009 | | x5 -0.05110 0.2261 -0.2261 0.8262 | | x6 1829. 455.5 4.0159 0.0030 | | const -3.482e+06 8.904e+05 -3.9108 0.0036 | ============================================================================== | Models stats Residual stats | ------------------------------------------------------------------------------ | R-squared: 0.9955 Durbin-Watson: 2.559 | | Adjusted R-squared: 0.9925 Omnibus: 0.7486 | | F-statistic: 330.3 Prob(Omnibus): 0.6878 | | Prob (F-statistic): 4.984e-10 JB: 0.6841 | | Log likelihood: -109.6 Prob(JB): 0.7103 | | AIC criterion: 233.2 Skew: 0.4200 | | BIC criterion: 238.6 Kurtosis: 2.434 | ------------------------------------------------------------------------------z %a, %d %b %Yz%H:%M:%S)XXcurrentXdateXX XXtimeXXXignore c3>K|]}|VdS)N)rstrip).0lines h/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/statsmodels/iolib/tests/test_summary_old.py z*test_regression_summary..Es*DDt{{}}DDDDDD),statsmodels.regression.tests.test_regressionrtimestringr localtime substitutestrstrftime setup_classres1warningsfilters simplefilter summary_oldnumpyjoinsplittestingassert_) rrrtdesired aregressionresultsoriginal_filters r_summaryactualnps rtest_regression_summaryr,s EDDDDDKKK AhR  @ *DMM.$C$C D DT]]:a8899 ;;A D'llG'))K G'* (###,++--.. ++++++F YYDDd1C1CDDD D DFJv()))))s $!DD )rpytestmarkxfailr,rrr1sU $G*G* G*G*G*r