Hi all,

I’m new to programming with Julia, and I’m really stuck.

This is the Julia version running

julia> VERSION

v"1.4.1"

This call_DPM.jl only works with the Julia 0.2.1, this issue happens also with 1.4.1 versions of julia, thus I never managed to run the code here is the error I get:

ERROR: LoadError: UndefVarError: int not defined

Stacktrace:

[1] top-level scope at /Users/yong/Downloads/PopR-master/PopR/exec/call_DPM.jl:3

[2] include(::Module, ::String) at ./Base.jl:377

[3] exec_options(::Base.JLOptions) at ./client.jl:288

[4] _start() at ./client.jl:484

in expression starting at /Users/yong/Downloads/PopR-master/PopR/exec/call_DPM.jl:3

How do I fix this bug of call_DPM.jl so that it runs in the current version?

The call_dpm.jl code is as follows：

# julia code main wrapper

bl=int(ARGS[1])

thin =int(ARGS[3])

numiters =int(ARGS[2])

Typeof=ARGS[4]

cd(ARGS[5])

cps = ARGS[6]

writedlm(“CP.csv”,{cps})

@everywhere CP=readdlm(“CP.csv”)

@everywhere CP=CP[1]

@everywhere typealias Float Float64

@everywhere datas=readdlm(“datas.csv”,’,’,Float)’

@everywhere single_priors = readdlm(“single_priors.csv”,’,’,Float)

@everywhere matrix_priors = readdlm(“matrix_priors.csv”,’,’,Float)

@everywhere const pc_max_ind=int(1e5)

@everywhere const (D, N) = size(datas)

```
# define normal set types
if bl.==1
@everywhere require(string(CP,"/fixtype.jl"))
else
@everywhere require(string(CP,"/define_types.jl"))
end
```

#################################################

######### — set up outputs ---- ###############

#################################################

np = nprocs()

nit=int((np)*numiters/thin);

class_ids=Array(Float,(size(datas,2),nit));

k_0s=Array(Float,nit);

K_record=Array(Int8,nit);

alpha_record=Array(Float,nit);

#################################################

######### — RUN IT ----########################

#################################################

if bl.==1

```
@everywhere require(string(CP,"/DPM_sampler_fix.jl"))
inp = {datas,numiters,thin,stats,priors,consts,CP};
M = {inp for i=1:np};#need to put np-1 again for parallel
outs = pmap(DPM_sampler_fix,M);
```

else

```
@everywhere require(string(CP,"/DPM_sampler.jl"))
inp = {datas,numiters,thin,stats,priors,consts,CP};
M = {inp for i=1:np}; #need to put np-1 again for parallel
outs = pmap(DPM_sampler,M);
```

end

# get outputs

nit=int(numiters/thin);

n=0

for i=1:length(outs)

n=n+1

class_ids[:,((n-1)*nit+1):((n-1)*nit+nit)] = outs[i][1]

k_0s[((n-1)*nit+1):((n-1)*nit+nit)] = outs[i][2]

K_record[((n-1)*nit+1):((n-1)*nit+nit)] =outs[i][3]

alpha_record[((n-1)*nit+1):((n-1)*nit+nit)] = outs[i][4]

end

#################################################

######### — Write out ----#####################

#################################################

writecsv(“source_ids.csv”,class_ids)

writecsv(“K_record.csv”,K_record)

writecsv(“gammas.csv”,alpha_record)

writecsv(“k_0s.csv”,k_0s)