search for: _x1

Hello, I forgot in my last reply that my DWT implementation can be speed up, for example I'm doing for now: for (;_X1<_E_;_X1++,_RES+=2) //dilatation { _RES[0]=_X1[0]<<3; _RES[1]=(_X1[1]+_X1[0])<<2; } then for (;_X2<_E_;_X2++,_RES+=2) //details { _RES[0]-=(_X2[1]+_X2[0])<<1; _RES[1]+=6*_X2[1]-_X2[2]-_X2[0]; } whereas I can do in...

...belong to the same group and the same time and end up with a dataframe with the columns time, group, mean and sd that contains the calculated values for every group at every time point only once (12). What is the most elegant way to do this? Oh, and I would like to avoid renaming columns (like the _X1/_X2 created by casting with multiple functions), if possible. I am sure that this is pretty basic, but I have already wasted a ridiculous amount of time on this. Thanks, Kai [[alternative HTML version deleted]]

https://bugzilla.mindrot.org/show_bug.cgi?id=3666 Bug ID: 3666 Summary: sshd crash Product: Portable OpenSSH Version: 8.2p1 Hardware: Other OS: Linux Status: NEW Severity: critical Priority: P5 Component: sshd Assignee: unassigned-bugs at mindrot.org Reporter: