From bb02082fbe8324836231f9020b2930442738a6ae Mon Sep 17 00:00:00 2001
From: Michiel Cottaar <MichielCottaar@protonmail.com>
Date: Wed, 11 Sep 2024 16:20:11 +0100
Subject: [PATCH] Produce slightly more informative error messages
---
src/build_sequences.jl | 17 +++++++++++++----
1 file changed, 13 insertions(+), 4 deletions(-)
diff --git a/src/build_sequences.jl b/src/build_sequences.jl
index f9af516..bfcc83e 100644
--- a/src/build_sequences.jl
+++ b/src/build_sequences.jl
@@ -104,6 +104,8 @@ function optimise_with_cost_func!(jump_model::Model, cost_func, n_attempts)
min_objective = Inf
min_values = nothing
nsuccess = 0
+ sample_error = Dict{TerminationStatusCode, Any}()
+ errors = TerminationStatusCode[]
for attempt in 1:n_attempts
if attempt != 1
new_values = rand(length(all_variables(jump_model)))
@@ -111,7 +113,7 @@ function optimise_with_cost_func!(jump_model::Model, cost_func, n_attempts)
set_start_value(var, v)
end
end
- for sub_attempt in 1:5
+ for sub_attempt in 1:3
if sub_attempt != 1
old_values = value.(all_variables(jump_model))
size_kick = 0.5 / sub_attempt
@@ -132,15 +134,22 @@ function optimise_with_cost_func!(jump_model::Model, cost_func, n_attempts)
min_values = copy(backend(jump_model).optimizer.model.inner.x)
end
break
+ elseif sub_attempt == 3
+ push!(errors, termination_status(jump_model))
+ sample_error[termination_status(jump_model)] = solution_summary(jump_model)
end
end
if nsuccess > 2
break
end
end
- if nsuccess < 2
- println(solution_summary(jump_model))
- error("Optimisation failed to converge.")
+ if iszero(nsuccess)
+ err_string = join(["$(String(Symbol(err))) (x$(sum([e == err for e in errors])))" for err in unique(errors)], ", ", ", and ")
+ for msg in values(sample_error)
+ println(msg)
+ println("")
+ end
+ error("Optimisation failed to converge. The following errors were raised: $err_string. Example errors for each type are printed above.")
end
backend(jump_model).optimizer.model.inner.x .= min_values
return min_objective
--
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