remove redundant plot recipe

src/plotting/plot_measurements.jl

@@ -75,19 +75,6 @@ end
     end
 end
 
-# plot recipe for plotting a particular BinnedMeasurement from a NamedTuple
-@recipe function f(
-    measurements::NamedTuple{<:Any, <:Tuple{Vararg{AbstractMeasurement}}},
-    name::Symbol;
-    uncertainties = true
-)
-    @series begin
-        label --> string(name)
-        uncertainties --> uncertainties
-        measurements[name]
-    end
-end
-
 
 function total_uncertainty(
     measurement::Union{Measurement, BinnedMeasurement},

test/new/test_modelunc.jl

@@ -22,10 +22,10 @@ measurements = (
     meas1 = Measurement(testfunc1, 111.1, 
     uncertainties = (unc1=10.1, unc2=12.2, unc3=13.3), active=true),
 
-    meas2 = Measurement(Observable(testfunc1, min=0, max=1000), 222.2, 
+    meas2 = Measurement(Observable(testfunc1, min=0, max=200000), 222.2, 
     uncertainties = (unc1=20.1, unc2=20.2, unc3=23.3), active=false),
 
-    meas3 = Measurement(Observable(testfunc1, min=0, max=1000), 333.3, 
+    meas3 = Measurement(Observable(testfunc1, min=0, max=200000), 333.3, 
     uncertainties = (unc1=30.1, unc2=30.2, unc3=30.3), active=true),
 
     meas4 = BinnedMeasurement(Function[testfunc1, testfunc1, testfunc1],
@@ -68,6 +68,10 @@ logp(v)
 
 
 t = @benchmark logp(v)
+#TODO: why did this increase so much?
 @test t.allocs == 15
 @test t.memory == 720
 @test minimum(t.times) ≈ 226 atol=5
+
+
+# add tests that values with model uncertainties are correct

test/new/test_nuisance.jl

@@ -71,15 +71,18 @@ logp(rand(posterior.prior))
 @test logp(v) ≈ -5.213494198124699e9
 
 
-t = @benchmark logp(v)
+t = @benchmark logp(v) 
+#TODO: why did this increase so much?
 @test t.allocs == 15
 @test t.memory == 720
-@test minimum(t.times) ≈ 226 atol=5
+@test minimum(t.times) ≈ 226 atol=5 
 
 myf = function(f, x)
     for i in 1:10000
         f(x)
     end
 end
 
-@profview myf(logp, v)
+@profview myf(logp, v)
+
+# add tests that values with nuisances are correct