# using LatticeGPU
using ADerrors
using BDIO
function read_ff(name::String)
file = BDIO_open(name,"r","FerFlow correlators")
while BDIO_get_uinfo(file) != 14
BDIO_seek!(file)
end
ihdr = Vector{Int32}(undef,1)
BDIO_read(file, ihdr)
if ihdr[1] == 1730280201
println("Reading file ",name)
else
error("Wrong IHDR in file ", name)
end
while BDIO_get_uinfo(file) != 1
BDIO_seek!(file)
end
dims=Vector{Int32}(undef,1)
iL=Vector{Int32}(undef,4)
N_noiseff=Vector{Int32}(undef,1)
nsteps=Vector{Int32}(undef,1)
N_noisebf=Vector{Int32}(undef,1)
nflow=Vector{Int32}(undef,1)
tzeroff=Vector{Float64}(undef,1)
epsilon=Vector{Float64}(undef,1)
tsourceff=Vector{Int32}(undef,1)
tsourcebf=Vector{Int32}(undef,1)
Nf=Vector{Int32}(undef,1)
BDIO_read(file, dims)
BDIO_read(file, iL)
BDIO_read(file, Nf)
dpars=[Vector{Float64}(undef,2) for _ in 1:Nf[1]] # m0,csw
th=[Vector{ComplexF64}(undef,4) for _ in 1:Nf[1]]
for i in 1:Nf[1]
BDIO_read(file, dpars[i])
BDIO_read(file, th[i])
end
BDIO_read(file, N_noiseff)
BDIO_read(file, nsteps)
BDIO_read(file, N_noisebf)
BDIO_read(file, nflow)
BDIO_read(file, tzeroff)
BDIO_read(file, epsilon)
BDIO_read(file, tsourceff)
BDIO_read(file, tsourcebf)
flow_times=Vector{Float64}(undef,nflow[1])
nflow[1] > 0 ? BDIO_read(file, flow_times) : nothing
println("Reading data from a ",Int64.(iL), " lattice.")
println("Frontflow: ",N_noiseff[1], " sources at euclidean time ", tsourceff[1] ,". Flowtime starting at ",tzeroff[1], " with ",nsteps[1]," steps of size ", epsilon[1])
println("Backflow: ",N_noisebf[1]," sources at euclidean time ",tsourcebf[1],". Flow times are ", flow_times)
N_noiseff = N_noiseff[1]
N_noisebf = N_noisebf[1]
nflow = nflow[1]
nsteps = nsteps[1]
Nf = Nf[1]
TvecR = Vector{Float64}(undef,iL[4]);
TvecC = Vector{ComplexF64}(undef,iL[4]);
CN = Vector{ComplexF64}(undef,1);
RN = Vector{Float64}(undef,1);
pp_corr = Array{Float64}(undef,iL[4],N_noiseff,Nf);
ap_corr = Array{ComplexF64}(undef,iL[4],N_noiseff,Nf);
pphat0 = Array{Float64}(undef,iL[4],N_noiseff,Nf);
pptilde0 = Array{ComplexF64}(undef,iL[4],N_noiseff,Nf);
pp_corr_t = Array{Float64}(undef,iL[4],N_noiseff,nsteps+1,Nf);
ap_corr_t = Array{ComplexF64}(undef,iL[4],N_noiseff,nsteps+1,Nf);
pphat_t = Array{Float64}(undef,iL[4],N_noiseff,nsteps+1,Nf);
pptilde_t = Array{ComplexF64}(undef,iL[4],N_noiseff,nsteps+1,Nf);
Eoft = Array{Complex{Float64}}(undef,1+nsteps,iL[4]);
Eoft0 = Array{Complex{Float64}}(undef,iL[4]);
Qt = Array{Complex{Float64}}(undef,1+nsteps,iL[4]);
Qt0 = Array{Complex{Float64}}(undef,iL[4]);
pp_corr_tfl = Array{Float64}(undef,iL[4],N_noisebf,nflow,Nf);
ap_corr_tfl = Array{ComplexF64}(undef,iL[4],N_noisebf,nflow,Nf);
Sigma = Array{ComplexF64}(undef,iL[4],N_noisebf,nflow,Nf);
Sigma_cfl = Array{ComplexF64}(undef,iL[4],N_noisebf,nflow,Nf);
Sigma2 = Array{ComplexF64}(undef,iL[4],N_noisebf,nflow,Nf);
Sigma2_cfl = Array{ComplexF64}(undef,iL[4],N_noisebf,nflow,Nf);
ChiDchi = Array{ComplexF64}(undef,iL[4],N_noisebf,nflow,Nf);
ChiDchi_cfl = Array{ComplexF64}(undef,iL[4],N_noisebf,nflow,Nf);
pp_corr_mc = [Vector{Float64}() for _ in 1:iL[4], _ in 1:N_noiseff, _ in 1:Nf]
ap_corr_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noiseff, _ in 1:Nf]
pphat0_mc = [Vector{Float64}() for _ in 1:iL[4], _ in 1:N_noiseff, _ in 1:Nf]
pptilde0_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noiseff, _ in 1:Nf]
pp_corr_t_mc = [Vector{Float64}() for _ in 1:iL[4], _ in 1:N_noiseff, _ in 1:nsteps+1, _ in 1:Nf]
ap_corr_t_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noiseff, _ in 1:nsteps+1, _ in 1:Nf]
pphat_t_mc = [Vector{Float64}() for _ in 1:iL[4], _ in 1:N_noiseff, _ in 1:nsteps+1, _ in 1:Nf]
pptilde_t_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noiseff, _ in 1:nsteps+1, _ in 1:Nf]
Eoft_mc = [Vector{Complex{Float64}}() for _ in 1:1+nsteps, _ in 1:iL[4]]
Eoft0_mc = [Vector{Complex{Float64}}() for _ in 1:iL[4]]
Qt_mc = [Vector{Complex{Float64}}() for _ in 1:1+nsteps, _ in 1:iL[4]]
Qt0_mc = [Vector{Complex{Float64}}() for _ in 1:iL[4]]
pp_corr_tfl_mc = [Vector{Float64}() for _ in 1:iL[4], _ in 1:N_noisebf, _ in 1:nflow, _ in 1:Nf]
ap_corr_tfl_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noisebf, _ in 1:nflow, _ in 1:Nf]
Sigma_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noisebf, _ in 1:nflow, _ in 1:Nf]
Sigma_cfl_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noisebf, _ in 1:nflow, _ in 1:Nf]
Sigma2_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noisebf, _ in 1:nflow, _ in 1:Nf]
Sigma2_cfl_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noisebf, _ in 1:nflow, _ in 1:Nf]
ChiDchi_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noisebf, _ in 1:nflow, _ in 1:Nf]
ChiDchi_cfl_mc = [Vector{ComplexF64}() for _ in 1:iL[4], _ in 1:N_noisebf, _ in 1:nflow, _ in 1:Nf]
while BDIO_get_uinfo(file) != 8
BDIO_seek!(file)
end
while BDIO_get_uinfo(file) == 8
for f in 1:Nf
for noi in 1:N_noiseff
BDIO_read(file,TvecR)
pp_corr[:,noi,f] .= TvecR
BDIO_read(file,TvecC)
ap_corr[:,noi,f] .= TvecC
BDIO_read(file,TvecR)
pphat0[:,noi,f] .= TvecR
BDIO_read(file,TvecC)
pptilde0[:,noi,f] .= TvecC
for fl in 1:nsteps+1
BDIO_read(file,TvecR)
pp_corr_t[:,noi,fl,f].= TvecR
BDIO_read(file,TvecC)
ap_corr_t[:,noi,fl,f].= TvecC
BDIO_read(file,TvecR)
pphat_t[:,noi,fl,f].= TvecR
BDIO_read(file,TvecC)
pptilde_t[:,noi,fl,f].= TvecC
end
end
end
BDIO_read(file,TvecC)
Eoft0[:] .= TvecC
BDIO_read(file,TvecC)
Qt0[:] .= TvecC
for fl in 1:nsteps+1
BDIO_read(file,TvecC)
Eoft[fl,:] .= TvecC
BDIO_read(file,TvecC)
Qt[fl,:] .= TvecC
end
for f in 1:Nf
for noi in 1:N_noisebf
for fl in 1:nflow
BDIO_read(file,TvecR)
pp_corr_tfl[:,noi,fl,f].= TvecR
BDIO_read(file,TvecC)
ap_corr_tfl[:,noi,fl,f].= TvecC
BDIO_read(file,TvecC)
Sigma[:,noi,fl,f] .= TvecC
BDIO_read(file,TvecC)
Sigma_cfl[:,noi,fl,f] .= TvecC
BDIO_read(file,TvecC)
Sigma2[:,noi,fl,f] .= TvecC
BDIO_read(file,TvecC)
Sigma2_cfl[:,noi,fl,f] .= TvecC
BDIO_read(file,TvecC)
ChiDchi[:,noi,fl,f] .= TvecC
BDIO_read(file,TvecC)
ChiDchi_cfl[:,noi,fl,f] .= TvecC
end
end
end
push!.(Eoft0_mc, Eoft0)
push!.(Eoft_mc, Eoft)
push!.(Qt0_mc, Qt0)
push!.(Qt_mc, Qt)
push!.(pp_corr_mc, pp_corr)
push!.(ap_corr_mc, ap_corr)
push!.(pphat0_mc, pphat0)
push!.(pptilde0_mc, pptilde0)
push!.(pp_corr_t_mc, pp_corr_t)
push!.(ap_corr_t_mc, ap_corr_t)
push!.(pphat_t_mc, pphat_t)
push!.(pptilde_t_mc, pptilde_t)
push!.(pp_corr_tfl_mc, pp_corr_tfl)
push!.(ap_corr_tfl_mc, ap_corr_tfl)
push!.(Sigma_mc, Sigma)
push!.(Sigma_cfl_mc, Sigma_cfl)
push!.(Sigma2_mc, Sigma2)
push!.(Sigma2_cfl_mc, Sigma2_cfl)
push!.(ChiDchi_mc, ChiDchi)
push!.(ChiDchi_cfl_mc, ChiDchi_cfl)
BDIO_seek!(file)
BDIO_seek!(file)
end
BDIO_close!(file)
return Eoft0_mc,Eoft_mc,Qt0_mc,Qt_mc,pp_corr_mc,ap_corr_mc,pp_corr_t_mc,ap_corr_t_mc,pp_corr_tfl_mc,ap_corr_tfl_mc,Sigma_mc,Sigma_cfl_mc,Sigma2_mc,Sigma2_cfl_mc,ChiDchi_mc,ChiDchi_cfl_mc,pphat_t_mc,pptilde_t_mc,pphat0_mc,pptilde0_mc
end
"""
function uwff(file::String)
Loads in the variables 'Eoft','Eoft0','Qt','Qt0', 'pp_corr', 'ap_corr', 'pp_corr_t','ap_corr_t', 'pphat_t', 'pptilde_t','pphat0', 'pptilde0','pp_corr_tfl','ap_corr_tfl' 'Sigma'(v1 and v2), 'Sigma_cfl'(v1 and v2), 'ChiDchi' and 'ChiDchi_cfl' the corresponding
'uwreal' quantities. Noise average has been performed. The indices are, when corresponding, eucliden time and flow times
"""
function uwff(file::String)
Eoft0_mc,Eoft_mc,Qt0_mc,Qt_mc,pp_corr_mc,ap_corr_mc,pp_corr_t_mc,ap_corr_t_mc,pp_corr_tfl_mc,ap_corr_tfl_mc,Sigma_mc,Sigma_cfl_mc,Sigma2_mc,Sigma2_cfl_mc,ChiDchi_mc,ChiDchi_cfl_mc,pphat_t_mc,pptilde_t_mc,pphat0_mc,pptilde0_mc = read_ff(file)
runame = String(split(split(file,"/")[end],".")[1])
T = size(pp_corr_mc)[1]
Nsff = size(pp_corr_mc)[2]
nsteps = size(pp_corr_t_mc)[3]-1
Nsbf = size(pp_corr_tfl_mc)[2]
Nfl = size(pp_corr_tfl_mc)[3]
Nf = size(pp_corr_mc)[3]
global Eoft = [uwreal(real.(Eoft_mc[i,j]) ,runame) for j in 1:T, i in 1:nsteps+1]
global Eoft0 = [uwreal(real.(Eoft0_mc[j]) ,runame) for j in 1:T]
global Qt = [uwreal(real.(Qt_mc[i,j]) ,runame) for j in 1:T, i in 1:nsteps+1]
global Qt0 = [uwreal(real.(Qt0_mc[j]) ,runame) for j in 1:T]
pp_corr_mc = sum(pp_corr_mc,dims = 2)[:,1,:]./Nsff
global pp_corr = [uwreal(pp_corr_mc[i,f] ,runame) for i in 1:T, f in 1:Nf]
ap_corr_mc = real.(sum(ap_corr_mc,dims = 2)[:,1,:]./Nsff)
global ap_corr = [uwreal(ap_corr_mc[i,f] ,runame) for i in 1:T, f in 1:Nf]
global pphat0 = [uwreal(sum(pphat0_mc,dims = 2)[i,1,f]./Nsff ,runame) for i in 1:T, f in 1:Nf]
global pptilde0 = [uwreal(real.(sum(pptilde0_mc,dims = 2)[i,1,f]./Nsff) ,runame) for i in 1:T, f in 1:Nf]
pp_corr_t_mc = sum(pp_corr_t_mc,dims = 2)[:,1,:,:]./Nsff
global pp_corr_t = [uwreal(pp_corr_t_mc[i,k,f] ,runame) for i in 1:T, k in 1:nsteps+1, f in 1:Nf]
ap_corr_t_mc = real.(sum(ap_corr_t_mc,dims = 2)[:,1,:,:]./Nsff)
global ap_corr_t = [uwreal(ap_corr_t_mc[i,k,f] ,runame) for i in 1:T, k in 1:nsteps+1, f in 1:Nf]
pphat_t_mc = sum(pphat_t_mc,dims = 2)[:,1,:,:]./Nsff
global pphat_t = [uwreal(pphat_t_mc[i,k,f] ,runame) for i in 1:T, k in 1:nsteps+1, f in 1:Nf]
pptilde_t_mc = real.(sum(pptilde_t_mc,dims = 2)[:,1,:,:]./Nsff)
global pptilde_t = [uwreal(pptilde_t_mc[i,k,f] ,runame) for i in 1:T, k in 1:nsteps+1, f in 1:Nf]
pp_corr_tfl_mc = sum(pp_corr_tfl_mc,dims = 2)[:,1,:,:]./Nsff
global pp_corr_tfl = [uwreal(pp_corr_tfl_mc[i,k,f] ,runame) for i in 1:T, k in 1:Nfl, f in 1:Nf]
ap_corr_tfl_mc = real.(sum(ap_corr_tfl_mc,dims = 2)[:,1,:,:]./Nsff)
global ap_corr_tfl = [uwreal(ap_corr_tfl_mc[i,k,f] ,runame) for i in 1:T, k in 1:Nfl, f in 1:Nf]
Sigma_mc = real.(sum(Sigma_mc,dims = 2)[:,1,:,:]./Nsbf)
global Sigma = [uwreal(Sigma_mc[i,k,f] ,runame) for i in 1:T, k in 1:Nfl, f in 1:Nf]
Sigma_cfl_mc = real.(sum(Sigma_cfl_mc,dims = 2)[:,1,:,:]./Nsbf)
global Sigma_cfl = [uwreal(Sigma_cfl_mc[i,k,f] ,runame) for i in 1:T, k in 1:Nfl, f in 1:Nf]
Sigma2_mc = real.(sum(Sigma2_mc,dims = 2)[:,1,:,:]./Nsbf)
global Sigma2 = [uwreal(Sigma2_mc[i,k,f] ,runame) for i in 1:T, k in 1:Nfl, f in 1:Nf]
Sigma2_cfl_mc = real.(sum(Sigma2_cfl_mc,dims = 2)[:,1,:,:]./Nsbf)
global Sigma2_cfl = [uwreal(Sigma2_cfl_mc[i,k,f] ,runame) for i in 1:T, k in 1:Nfl, f in 1:Nf]
ChiDchi_mc = real.(sum(ChiDchi_mc,dims = 2)[:,1,:,:]./Nsbf)
global ChiDchi = [uwreal(ChiDchi_mc[i,k,f] ,runame) for i in 1:T, k in 1:Nfl, f in 1:Nf]
ChiDchi_cfl_mc = real.(sum(ChiDchi_cfl_mc,dims = 2)[:,1,:,:]./Nsbf)
global ChiDchi_cfl = [uwreal(ChiDchi_cfl_mc[i,k,f] ,runame) for i in 1:T, k in 1:Nfl, f in 1:Nf]
return nothing
end