Always duplicate kwarg name

Author: ArneBouillon

examples/Sinusoid/emulate.jl

@@ -75,7 +75,7 @@ gauss_proc = Emulators.GaussianProcess(gppackage, noise_learn = false)
 encoder_schedule = [(decorrelate_sample_cov(), "in"), (decorrelate_structure_mat(), "out")]
 
 # Build emulator with data
-emulator_gp = Emulator(gauss_proc, input_output_pairs, (obs_cov_noise = Γ,); encoder_schedule)
+emulator_gp = Emulator(gauss_proc, input_output_pairs, (obs_cov_noise = Γ,); encoder_schedule = encoder_schedule)
 optimize_hyperparameters!(emulator_gp)
 
 # We have built the Gaussian process emulator and we can now use it for prediction. We will validate the emulator 

src/Emulator.jl

@@ -146,7 +146,7 @@ function Emulator(
 
     encoder_schedule = create_encoder_schedule(encoder_schedule)
     (encoded_io_pairs, input_structure_mats, output_structure_mats, _, _) =
-        initialize_and_encode_with_schedule!(encoder_schedule, input_output_pairs; obs_noise_cov, encoder_kwargs...)
+        initialize_and_encode_with_schedule!(encoder_schedule, input_output_pairs; obs_noise_cov = obs_noise_cov, encoder_kwargs...)
 
     # build the machine learning tool in the encoded space
     build_models!(machine_learning_tool, encoded_io_pairs, input_structure_mats, output_structure_mats; mlt_kwargs...)

test/Utilities/runtests.jl

@@ -279,10 +279,10 @@ end
     # test throws on lack of sample_mat
     sch2a = (decorrelate_structure_mat(), "in")
     schedule2a = create_encoder_schedule(sch2a)
-    @test_throws ArgumentError initialize_and_encode_with_schedule!(schedule2a, io_pairs; obs_noise_cov) # nothing
+    @test_throws ArgumentError initialize_and_encode_with_schedule!(schedule2a, io_pairs; obs_noise_cov = obs_noise_cov)
     sch2b = (decorrelate_structure_mat(), "out")
     schedule2b = create_encoder_schedule(sch2b)
-    @test_throws ArgumentError initialize_and_encode_with_schedule!(schedule2b, io_pairs; prior_cov)
+    @test_throws ArgumentError initialize_and_encode_with_schedule!(schedule2b, io_pairs; prior_cov = prior_cov)