I’m stuck on how to set different random seeds for each worker in distributed computation.

```
using Distributed, SharedArrays
# Start Julia with multiple workers
addprocs()
@everywhere using Random
# Function to set a unique random seed for each worker
@everywhere function set_worker_seed()
worker_id = myid() - 1 # Worker IDs start from 2, so we subtract 1
seed = 42 + 1000*worker_id # Adjust the base seed value as needed
Random.seed!(seed)
println("Worker $worker_id seed: $seed")
end
# Set a unique random seed for each worker
for p in workers()
@spawnat p set_worker_seed()
end
v = SharedArray{Float64}(10)
# Define a function that uses the random number generator
@sync @distributed for i=1:10
v[i] = rand()
end
println(v)
```

My hope is to set different random seeds for each worker (so that there is no overlap in the value of `v`

for each element) and make the vector `v`

reproducible every time I reset the random seed.

But it turns out that the value of `v`

changes for each run in my current code. Do you have any solutions on how to fix this issue?

Thank you!