Automatic fetch of Trial Factoring work for GPU mfakt*

[swl551]

Originally Posted by chalsall

An important question. Scott, can you tell us all what URL MISFIT "hits" for GIMPS assignments?

All I can say with certainty is GPU72 never held, and thus didn't assign, what this user was given.

Read: not my problem. But happy to help debug.

"source code says"

  public string GetWorkGIMPS(string userID, string password,int cores, int assignmentsPerCore, GIMPSPreferredWorkType workType, int? expStart, int? expEnd)
        {
            string url = "https://www.mersenne.org/<redacted>?uid=" + userID +
                  //"&user_password=" + password +
                  "&cores=" + cores +
                  "&num_to_get=" + assignmentsPerCore +
                  "&pref=" + (int)workType +
                  "&exp_lo=" + expStart +
                  "&exp_hi=" + expEnd +
                  "&B1=Get+Assignments";

            Debug.WriteLine(url);

            return PerformGetWithNOCookies(url);
        }

[Prime95]

So MISFIT has its own secret web page.

Looking at that web page, it is applying prime95's rules for TF upper bounds. I'll see what I can come up with.

[Prime95]

Originally Posted by Prime95

So MISFIT has its own secret web page.

Looking at that web page, it is applying prime95's rules for TF upper bounds. I'll see what I can come up with.

I've attempted a fix. Let me know if it works or not.

[jwnutter]

Sorry folks, I got real busy and forgot to check back in on this thread.

Yes, the MISFIT work source is set to GIMPS on this specific client.

I can also report that on 10/25/2020 this client started turning in TF results for exponents in the 115M range (vs the previously mentioned 215M range). Based on my specific MISFIT assignment settings, I believe MISFIT is caching ~2-3 days of TF work FYI.

Thanks a lot for the help. This change alone has increased the TF throughput on this client by about 4%.

[Mark Rose]

I recently upgraded a bunch of systems to new distributions and Python 2 is obviously no longer an option. Tonight I got around to updating mfloop.py to use Python 3.

I also updated mfloop.py to use the manual gpu assignment page instead of the manual assignment page when falling back to PrimeNet when not fetching anything from GPU72.

You can fetch it from https://github.com/MarkRose/primetools.

I also see that teknohog has recently updated the primary repository as well to work with Python 3 and made some other changes: https://github.com/teknohog/primetools. I may rebase off him soon.