I wouldn’t bother trying to fix them. Just delete and re-plot them.
Guys what’s does this one mean?
<class ‘RuntimeError’>: Src size is incorrect error in getting challenge qualities for plot
Hey @zogstrip - I’ll probably end up doing that - but @eFishCent said “please message me. I want to debug the problem.”, so I’m just trying to contribute to the community seeing as I found these ‘bad’ plots and no immediate need to delete them.
Did you ever Debug? If so what steps did you take to fix? Or just replotted. Thanks ahead
I can t find the folder for checking … every time error
make sure the folder you want to check is listed as a directory in your config.yaml file.
are there differences to the following 2 commands?
I get different values from Proof’s
.\chia plots check -n 5 -l -g J:\plot-k32-2021-07-21-00-13-bdb4fc3e7e712f6677f49117ade2583d5609bbcc09034435de0b6c4f1d30e0cb.plot
2022-02-23T13:49:30.714 chia.plotting.check_plots : INFO Proofs 2 / 5, 0.4
2022-02-23T13:49:30.715 chia.plotting.check_plots : INFO
2022-02-23T13:49:30.716 chia.plotting.check_plots : INFO
2022-02-23T13:49:30.717 chia.plotting.check_plots : INFO Summary
2022-02-23T13:49:30.719 chia.plotting.check_plots : INFO Found 1 valid plots, total size 0.09899 TiB
2022-02-23T13:49:30.719 chia.plotting.check_plots : INFO 1 plots of size 32
.\chia plots check -g J:\plot-k32-2021-07-21-00-13-bdb4fc3e7e712f6677f49117ade2583d5609bbcc09034435de0b6c4f1d30e0cb.plot
2022-02-23T13:50:41.252 chia.plotting.check_plots : INFO Proofs 32 / 30, 1.0667
2022-02-23T13:50:41.253 chia.plotting.check_plots : INFO
2022-02-23T13:50:41.254 chia.plotting.check_plots : INFO
2022-02-23T13:50:41.254 chia.plotting.check_plots : INFO Summary
2022-02-23T13:50:41.255 chia.plotting.check_plots : INFO Found 1 valid plots, total size 0.09899 TiB
2022-02-23T13:50:41.256 chia.plotting.check_plots : INFO 1 plots of size 32
Proofs 2 / 5, 0.4 => BAD
Proofs 32 / 30, 1.0667 => GOOD
If you don’t specify the -n, it defaults to the recommended value of 30.
In the other example you used -n 5, which is to low to be reliable.
compare it to coin toss. If you only toss 5 times you are quite likely to get more heads than tails. But it is to low sample to make any conclusions. If you toss it 30 times, you will end up having an even split between heads and tails. This is not a accurate comparison, just the same principle.
ahh… see.
Then, just for fun, I tested -n 100 and found considerably more proofs in the plot. I suspect that -n 1000 will then find even more. The question now is: How do you really find out how many proofs are in a plot?
2022-02-24T06:14:52.631 chia.plotting.check_plots : INFO Proofs 109 / 100, 1.09
Edit: --n 1000
Proofs 1018 / 1000, 1.018
30 seems to determine the profs well.
The higher you go, the more accurate it gets.
Then I got it now.