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Calculating QSAR model...
RANDOM FOREST: 88(train), 22(test), 10 repeats

Warning: final_rf not assigned, so selecting last rf to continue
train_x: [[0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0

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trait Debuggable {
    fn debug(self) -> Self;
}

impl<T> Debuggable for T
where
    T: Sized + std::fmt::Debug,
{
    fn debug(self) -> Self {
        dbg!(self)

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trait Debuggable {
    fn debug(self) -> Self
    where
        Self: Sized + std::fmt::Debug,
    {
        dbg!(self)
    }
}

impl<T> Debuggable for T {}

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  // Override the default LocalDateTime formatting
  // (the default splits out each date.time element as a seperate field: hour, minute, day, etc)
  def newInstance(url: String): Pusher = {

    import com.google.gson._
    import java.lang.reflect.Type

    val localDateTimeSerializer: JsonSerializer[LocalDateTime] = new JsonSerializer[LocalDateTime] {
      def serialize(src: LocalDateTime, typeOfSrc: Type, context: JsonSerializationContext): JsonElement =
        new JsonPrimitive(src.toString())

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~/Developer/darn via C darn
❯  conda install -c conda-forge jupyterlab -y
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /Users/richard/opt/miniconda3/envs/darn

  added / updated specs:

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*******************************************************************************
* irace: An implementation in R of Iterated Race
* Version: 3.1.2112M
* Copyright (C) 2010-2018
* Manuel Lopez-Ibanez     <manuel.lopez-ibanez@manchester.ac.uk>
* Jeremie Dubois-Lacoste  
* Leslie Perez Caceres    <leslie.perez.caceres@ulb.ac.be>
*
* This is free software, and you are welcome to redistribute it under certain
* conditions.  See the GNU General Public License for details. There is NO

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## This is an example of specifying instances with a file.

# Each line is an instance relative to trainInstancesDir
# (see scenario.txt.tmpl) and an optional sequence of instance-specific
# parameters that will be passed to target-runnerx when invoked on that
# instance.

# Empty lines and comments are ignored.

experiments/atari.jl --id frostbite

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CGP.jl (julia_v0.7 *)$ julia --project=. run_tests.jl 
[ Info: Chromosome tests
CGPChromo
┌ Warning: `rand(dims::Dims)` is deprecated, use `rand(Float64, dims)` instead.
│   caller = macro expansion at chromosome.jl:14 [inlined]
└ @ Core ~/Developer/evolution/cga/forked/CGP.jl/test/chromosome.jl:14
┌ Warning: `a::Number + b::AbstractArray` is deprecated, use `a .+ b` instead.
│   caller = + at operators.jl:502 [inlined]
└ @ Core ./operators.jl:502
PCGPChromo

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Results of running CGP.jl

Code: https://github.com/d6y/CGP.jl (forked version primary to correct gene representation)

Enviroment:

• ALE 0.51
• Julia 0.6.4

Parameters:

• Output 0.6