`DynamicPPL` not defined in `Main` error when sampling from model with `.~` expression

[tiemvanderdeure]

Minimal working example

using Turing
@model function coinflips(y)
    p ~ Beta(1, 1)
    y .~ Bernoulli(p)	
end
m = coinflips(rand(Bool, 100))
sample(m, NUTS(), 1000)

Description

This triggers a

ERROR: UndefVarError: `DynamicPPL` not defined in `Main`

within the replace_returns macro.

Just running using Turing.DynamicPPL fixes this error.

Julia version info

versioninfo()

Julia Version 1.11.3
Commit d63adeda50 (2025-01-21 19:42 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 8 × 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, tigerlake)
Threads: 7 default, 0 interactive, 3 GC (on 8 virtual cores)
Environment:
  JULIA_EDITOR = code
  JULIA_NUM_THREADS = 7

Manifest

]st --manifest

(Paste here)

[penelopeysm]

Thanks, that's annoying. I'll push a hotfix for this.

[penelopeysm]

@tiemvanderdeure, with DynamicPPL 0.35.6, it should now work without requiring the DynamicPPL import. Drop a ping if it doesn't!