que cono

experiments/post_processing/post_processing.jl

 include("meta_data.jl")
-include("artifacts.jl")
-include("results.jl")
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+include("artifacts.jl")
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experiments/post_processing/results.jl

-"""
-    aggregate_results(outcome::ExperimentOutcome; measure::String="distance_from_targets")
-
-Function to quickly aggregate benchmarking results for a given measure.
-"""
-function aggregate_results(outcome::ExperimentOutcome; measure::String="distance_from_targets")
-    df = @chain outcome.bmk() begin
-        @group_by(generator, model)
-        @filter(variable == measure)
-        @summarize(val = mean(value), std = std(value))
-        @ungroup
-    end
-    return df
-end
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experiments/utils.jl

-is_multi_processed(exper::Experiment) = isa(exper.parallelizer, Base.get_extension(CounterfactualExplanations, :MPIExt).MPIParallelizer)
+using CounterfactualExplanations.Parallelization: ThreadsParallelizer
 
-is_multi_processed(parallelizer::AbstractParallelizer) = isa(parallelizer, Base.get_extension(CounterfactualExplanations, :MPIExt).MPIParallelizer)
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+function is_multi_processed(parallelizer::Union{Nothing,AbstractParallelizer})
+    if isnothing(parallelizer) || isa(parallelizer, ThreadsParallelizer)
+        return false
+    else
+        return isa(parallelizer, Base.get_extension(CounterfactualExplanations, :MPIExt).MPIParallelizer)
+    end
+end
+
+is_multi_processed(exper::Experiment) = is_multi_processed(exper.parallelizer)
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