Running ‘test-continuous.R’ [5s/6s]
  Comparing ‘test-continuous.Rout’ to ‘test-continuous.Rout.save’ ...158,161d157
< 
<  Thank you for using abess! To acknowledge our work, please cite the package:
< 
<  Zhu J, Wang X, Hu L, Huang J, Jiang K, Zhang Y, Lin S, Zhu J (2022). 'abess: A Fast Best Subset Selection Library in Python and R.' Journal of Machine Learning Research, 23(202), 1-7. https://www.jmlr.org/papers/v23/21-1060.html.
  Running ‘test-count.R’ [13s/15s]
  Comparing ‘test-count.Rout’ to ‘test-count.Rout.save’ ...20,67d19
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
< Model was fitted to log(y + 1).
  Running ‘test-mandatory.R’ [18s/21s]
  Comparing ‘test-mandatory.Rout’ to ‘test-mandatory.Rout.save’ ... OK
  Running ‘test-ordinal.R’ [4s/5s]
  Comparing ‘test-ordinal.Rout’ to ‘test-ordinal.Rout.save’ ... OK
  Running ‘test-shiftscale.R’ [7s/8s]
  Comparing ‘test-shiftscale.Rout’ to ‘test-shiftscale.Rout.save’ ... OK
  Running ‘test-survival.R’ [56s/74s]
  Comparing ‘test-survival.Rout’ to ‘test-survival.Rout.save’ ...33,36d32
< 
<  Thank you for using abess! To acknowledge our work, please cite the package:
< 
<  Zhu J, Wang X, Hu L, Huang J, Jiang K, Zhang Y, Lin S, Zhu J (2022). 'abess: A Fast Best Subset Selection Library in Python and R.' Journal of Machine Learning Research, 23(202), 1-7. https://www.jmlr.org/papers/v23/21-1060.html.
  Running ‘test-weibull.R’ [21s/27s]
  Comparing ‘test-weibull.Rout’ to ‘test-weibull.Rout.save’ ... OK