Julia Version 1.9.1
Commit 147bdf428cd (2023-06-07 08:27 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 12 × Intel(R) Core(TM) i7-8850H CPU @ 2.60GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake)
  Threads: 12 on 12 virtual cores
Environment:
  JULIA_EDITOR = code

# Multithreading

JULIA_NUM_THREADS = 12
OPENBLAS_NUM_THREADS = 6
MKL_NUM_THREADS = ?

# Julia packages

Status `~/Documents/GitHub/Julia/HiddenMarkovModels.jl/benchmark/Project.toml`
  [6e4b80f9] BenchmarkTools v1.3.2
  [336ed68f] CSV v0.10.11
  [992eb4ea] CondaPkg v0.2.18
  [a93c6f00] DataFrames v1.5.0
  [31c24e10] Distributions v0.25.95
  [b2b3ca75] HMMBase v1.0.7
  [84ca31d5] HiddenMarkovModels v0.1.0 `..`
  [6099a3de] PythonCall v0.9.13
  [295af30f] Revise v3.5.3
  [b77e0a4c] InteractiveUtils
  [37e2e46d] LinearAlgebra
  [9a3f8284] Random

# Python packages

CondaPkg Status /home/guillaume/Documents/GitHub/Julia/HiddenMarkovModels.jl/benchmark/CondaPkg.toml
Environment
  /home/guillaume/Documents/GitHub/Julia/HiddenMarkovModels.jl/benchmark/.CondaPkg/env
Pip packages
  hmmlearn v0.3.0
  ipykernel v6.23.1
  numpy v1.24.3
  pomegranate v1.0.0
  torch v2.0.1
