fjosw / adjson.jl Goto Github PK

Hi Fabian,

I noticed that the current stable release is not compatible with ADerrors.jl package when there are missing measurements in the data. In more details, I have to read json files with data measured every two configurations and load them through ADerrors, but I get the error message:
ERROR: Irregular Monte Carlo chains for multiple replica cannot be safely read into ADerrors.
However, by looking at the ADerrors.jl documentation (https://ific.uv.es/~alramos/docs/ADerrors/api/#ADerrors.uwreal) there are actually two extra parameters that can be passed when creating an uwreal object with missing measurements. These parameters are:

idm::Type Vector{Int64}. idm[n] labels the configuration where data[n]is measured.
nms::Type Int64. The total number of measurements in the ensemble

As an example with multiple replicas:
Observable measured on the even configurations
2, 4, 6, ..., 200 on an emsemble of length 200
with two replica of lengths 75, 125
a = uwreal(data_a[1:500], "Observable with gaps in an ensemble with replica", [75, 125], collect(2:2:200), 200)

where in this case sum(replica)== sum([75,125]) must be equal to nms=200

I would be very interested in solving this issue with the current ADjson version to make it compatible with missing measurements in multiple replicas and I am willing to discuss this with you.
Thank you in advance,
Alessandro