Dear all,

I hope to find some help here regarding loading a (relatively) large complex array stored together with some other parameters within a .jl file.

The .jl data file has the following structure:

```
# A comment with a short explanation of what the data is
scalar parameter = 1
tuple = (var1 =1, var2 = 2)
energy_array = ComplexF64[...]
wavefunction_array = [...]
```

Some more explanations for the variables: energy_array has size (7,60) and contains complex values.

wavefunction_array has size (7,20000,60) and contains complex values.

The first dimension (of size 7) is a numerical parameter, for which I would like to check convergence. The last dimension (of size 60) is the number of eigenvalues/eigenfunctions which I saved. The dimension of size 20000 is the size of my eigenvectors.

Before, I only saved the eigenvalues (energy_array) leading to a file size of some kB, and loading the file via `include(filename)`

did the job, so that I could further analyze the results. Now, recently I also calculated the eigenfunctions resulting in a file size of up to a few hundret Megabytes. Attempting to load the file via `include(filename)`

leads to `ERROR: LoadErrow: StackOverflowError`

.

Any insight, how I can load the file? I dont need the full `wavefunction_array`

at once, it would be ok if I can do something like `load(filename, wavefunction_array[num_param_val,:,state_index])`

.

Maybe another fileformat istead of “.jl” would be more suitable for this task? I can redo my current calculations (will take 1-2 days) if you tell me the “.jl” fileformat is not really suitable for larger files.

Many thanks.