refactor: reduce precompile time

Project.toml

@@ -1,7 +1,7 @@
 name = "SignalAnalysis"
 uuid = "df1fea92-c066-49dd-8b36-eace3378ea47"
 authors = ["Mandar Chitre <[email protected]>"]
-version = "0.10.1"
+version = "0.10.2"
 
 [deps]
 DSP = "717857b8-e6f2-59f4-9121-6e50c889abd2"

src/SignalAnalysis.jl

@@ -13,7 +13,7 @@ using DocStringExtensions
 @reexport using Statistics
 @reexport using LinearAlgebra
 
-export 𝓈, ms, Hz, kHz
+export 𝓈, ms, Hz, kHz, °
 
 const 𝓈 = Units.s
 
@@ -34,19 +34,8 @@ end
 
 using PrecompileTools
 
-@setup_workload begin
-  using Test
-  rng = Random.MersenneTwister(0)
-  include("../test/tests-core.jl")
-  @compile_workload begin
-    test_signals()
-    test_generate()
-    test_basic()
-    test_dsp()
-    test_rand()
-    test_array()
-    test_tfa()
-  end
+@compile_workload begin
+  include("precompile.jl")
 end
 
 end # module

src/precompile.jl

@@ -0,0 +1,30 @@
+# toy load to force precompilation of typical use cases
+
+function _precompile(x)
+  length(x), size(x), nframes(x), framerate(x), nchannels(x), isanalytic(x)
+  domain(x), time([1,2,3], x), time(1:3, x), samples(x), analytic(x)
+  toframe(0.2𝓈, x), toframe([0.2𝓈, 201ms], x), toframe((0.2𝓈, 201ms), x), toframe(0.2:0.201s, x)
+  padded(x, (10, 5); delay=1), samerateas(x)
+  collect(partition(x, 5))
+  ifrequency(x), energy(x), meantime(x), rmsduration(x), meanfrequency(x), rmsbandwidth(x)
+  removedc(x), removedc!(x)
+  hb = rand(eltype(x), 127)
+  goertzel(x, 1000.0), filt(hb, x), filtfilt(hb, x)
+  upconvert(downconvert(x, 4, 2000.0), 4, 2000.0)
+  if x isa AbstractVector
+    mfilter(x[1:10], x), findsignal(x[1:10], x)
+    delay(x, 0.5), delay(x, 1), delay!(x, 1), delay!(x, 0.5), delay!(x, 0.5𝓈), delay(x, 0.5𝓈)
+  end
+end
+
+for T ∈ (Float64, Float32, ComplexF64, ComplexF32)
+  _precompile(signal(randn(T, 200), 1000))
+  _precompile(signal(randn(T, (200, 2)), 1000))
+end
+
+cw(1000, 0.1, 44100)
+cw(1000.0, 0.1, 44100.0)
+chirp(100.0, 5000.0, 0.1, 44100.0)
+chirp(100, 5000, 0.1, 44100)
+mseq(3), gmseq(3)
+fir(127, 100.0, 5000.0; fs=44100.0)