even better test reorganization

Author: Datseris

src/probabilities_estimators/timescales/power_spectrum.jl

@@ -9,14 +9,14 @@ and return the spectrum normalized to sum = 1 as probabilities.
 The Shannon entropy of these probabilities is typically referred in the literature as
 _spectral entropy_, e.g. [^Llanos2016],[^Tian2017].
 
-The simpler the temporal structure of the timeseries, the lower the entropy. However,
+The closer the spectrum is to flat, i.e., white noise, the higher the entropy. However,
 you can't compare entropies of timeseries with different length, because the binning
 in spectral space depends on the length of the input.
 
 [^Llanos2016]:
     Llanos et al., _Power spectral entropy as an information-theoretic correlate of manner
     of articulation in American English_, [The Journal of the Acoustical Society of America
-    141, EL127 (2017); https://doi.org/10.1121/1.4976109]
+    141, EL127 (2017)](https://doi.org/10.1121/1.4976109)
 
 [^Tian2017]:
     Tian et al, _Spectral Entropy Can Predict Changes of Working Memory Performance Reduced

test/runtests.jl

@@ -5,9 +5,11 @@ using Wavelets
 using StaticArrays
 using Neighborhood: KDTree, BruteForce
 
-# This is how the tests should look like in the end:
-@testset "Entopies.jl tests" begin
-    include("timescales.jl")
+# TODO: This is how the tests should look like in the end:
+defaultname(file) = splitext(basename(file))[1]
+testfile(file, testname=defaultname(file)) = @testset "$testname" begin; include(file); end
+@testset "Entopies.jl" begin
+    testfile("timescales.jl")
 end
 
 @testset "Histogram estimation" begin

test/timescales.jl

@@ -15,7 +15,7 @@ using Entropies, Test
         @test entropy_renyi(x, WaveletOverlap(), q = 1, base = 2) isa Real
     end
 
-    @testet "Fourier Spectrum" begin
+    @testset "Fourier Spectrum" begin
         N = 1000
         t = range(0, 10π, N)
         x = sin.(t)