Merge branch 'master' into dependabot/github_actions/codecov/codecov-action-4

Author: ViralBShah

src/Distributions.jl

@@ -365,7 +365,7 @@ Supported distributions:
     NoncentralF, NoncentralHypergeometric, NoncentralT, Normal, NormalCanon,
     NormalInverseGaussian, Pareto, PGeneralizedGaussian, Poisson, PoissonBinomial,
     QQPair, Rayleigh, Rician, Skellam, Soliton, StudentizedRange, SymTriangularDist, TDist, TriangularDist,
-    Triweight, Truncated, TruncatedNormal, Uniform, UnivariateGMM,
+    Triweight, Truncated, Uniform, UnivariateGMM,
     VonMises, VonMisesFisher, WalleniusNoncentralHypergeometric, Weibull,
     Wishart, ZeroMeanIsoNormal, ZeroMeanIsoNormalCanon,
     ZeroMeanDiagNormal, ZeroMeanDiagNormalCanon, ZeroMeanFullNormal,

src/samplers/aliastable.jl

@@ -15,9 +15,8 @@ end
 
 function rand(rng::AbstractRNG, s::AliasTable)
     i = rand(rng, 1:length(s.alias)) % Int
-    u = rand(rng)
-    @inbounds r = u < s.accept[i] ? i : s.alias[i]
-    r
+    # using `ifelse` improves performance here: github.com/JuliaStats/Distributions.jl/pull/1831/
+    ifelse(rand(rng) < s.accept[i],  i, s.alias[i])
 end
 
 show(io::IO, s::AliasTable) = @printf(io, "AliasTable with %d entries", ncategories(s))

src/truncate.jl

@@ -82,6 +82,9 @@ end
     Truncated
 
 Generic wrapper for a truncated distribution.
+
+The *truncated normal distribution* is a particularly important one in the family of truncated distributions.
+Unlike the general case, truncated normal distributions support `mean`, `mode`, `modes`, `var`, `std`, and `entropy`.
 """
 struct Truncated{D<:UnivariateDistribution, S<:ValueSupport, T<: Real, TL<:Union{T,Nothing}, TU<:Union{T,Nothing}} <: UnivariateDistribution{S}
     untruncated::D      # the original distribution (untruncated)

src/truncated/normal.jl

@@ -1,15 +1,3 @@
-# Truncated normal distribution
-"""
-    TruncatedNormal(mu, sigma, l, u)
-
-The *truncated normal distribution* is a particularly important one in the family of truncated distributions.
-We provide additional support for this type with `TruncatedNormal` which calls `Truncated(Normal(mu, sigma), l, u)`.
-Unlike the general case, truncated normal distributions support `mean`, `mode`, `modes`, `var`, `std`, and `entropy`.
-"""
-TruncatedNormal
-
-@deprecate TruncatedNormal(mu::Real, sigma::Real, a::Real, b::Real) truncated(Normal(mu, sigma), a, b)
-
 ### statistics
 
 function mode(d::Truncated{<:Normal{<:Real},Continuous,T}) where {T<:Real}

test/ref/continuous_test.lst

@@ -195,11 +195,11 @@ TriangularDist(-4, 14, 3)
 TriangularDist(2, 2000, 500)
 TriangularDist(1, 3, 2)
 
-TruncatedNormal(0, 1, -2, 2)
-TruncatedNormal(3, 10, 7, 8)
-TruncatedNormal(27, 3, 0, Inf)
-TruncatedNormal(-5, 1, -Inf, -10)
-TruncatedNormal(1.8, 1.2, -Inf, 0)
+truncated(Normal(0, 1), lower = -2, upper = 2)
+truncated(Normal(3, 10), lower = 7, upper = 8)
+truncated(Normal(27, 3), lower = 0)
+truncated(Normal(-5, 1), upper = -10)
+truncated(Normal(1.8, 1.2), upper = 0)
 
 Uniform()
 Uniform(0.0, 2.0)

test/ref/continuous_test.ref.json

@@ -5157,7 +5157,7 @@
 },
 {
   "expr": "truncated(Normal(0, 1), -2, 2)",
-  "dtype": "TruncatedNormal",
+  "dtype": "Truncated",
   "minimum": -2,
   "maximum": 2,
   "properties": {
@@ -5187,7 +5187,7 @@
 },
 {
   "expr": "truncated(Normal(3, 10), 7, 8)",
-  "dtype": "TruncatedNormal",
+  "dtype": "Truncated",
   "minimum": 7,
   "maximum": 8,
   "properties": {
@@ -5217,7 +5217,7 @@
 },
 {
   "expr": "truncated(Normal(27, 3); lower=0)",
-  "dtype": "TruncatedNormal",
+  "dtype": "Truncated",
   "minimum": 0,
   "maximum": "inf",
   "properties": {
@@ -5247,7 +5247,7 @@
 },
 {
   "expr": "truncated(Normal(-5, 1); upper=-10)",
-  "dtype": "TruncatedNormal",
+  "dtype": "Truncated",
   "minimum": "-inf",
   "maximum": -10,
   "properties": {
@@ -5277,7 +5277,7 @@
 },
 {
   "expr": "truncated(Normal(1.8, 1.2); upper=0)",
-  "dtype": "TruncatedNormal",
+  "dtype": "Truncated",
   "minimum": "-inf",
   "maximum": 0,
   "properties": {

test/truncate.jl

@@ -39,7 +39,7 @@ function verify_and_test_drive(jsonfile, selected, n_tsamples::Int,lower::Int,up
 
         println("    testing truncated($(ex),$lower,$upper)")
         d = truncated(eval(Meta.parse(ex)),lower,upper)
-        if dtype != Uniform && dtype != DiscreteUniform && dtype != TruncatedNormal # Uniform is truncated to Uniform
+        if dtype != Uniform && dtype != DiscreteUniform # Uniform is truncated to Uniform
             @assert isa(dtype, Type) && dtype <: UnivariateDistribution
             @test isa(d, dtypet)
             # verification and testing

test/univariates.jl

@@ -54,7 +54,7 @@ function verify_and_test(D::Union{Type,Function}, d::UnivariateDistribution, dct
     # Note: properties include all applicable params and stats
     #
 
-    # D can be a function, e.g. TruncatedNormal
+    # D can be a function
     if isa(D, Type)
         @assert isa(d, D)
     end