Bump requirements to julia-0.7

.travis.yml

@@ -4,7 +4,6 @@ os:
   - linux
   - osx
 julia:
-  - 0.6
   - nightly
 notifications:
   email: false

REQUIRE

@@ -1,7 +1,6 @@
-julia 0.6
+julia 0.7.0-beta.85
 Colors 0.7.1
 ColorTypes 0.6.3
 FixedPointNumbers 0.3.0
 StatsBase 0.8.2
-Compat 0.18.0
 SpecialFunctions

appveyor.yml

@@ -1,7 +1,5 @@
 environment:
   matrix:
-  - JULIA_URL: "https://julialang-s3.julialang.org/bin/winnt/x86/0.6/julia-0.6-latest-win32.exe"
-  - JULIA_URL: "https://julialang-s3.julialang.org/bin/winnt/x64/0.6/julia-0.6-latest-win64.exe"
   - JULIA_URL: "https://julialangnightlies-s3.julialang.org/bin/winnt/x86/julia-latest-win32.exe"
   - JULIA_URL: "https://julialangnightlies-s3.julialang.org/bin/winnt/x64/julia-latest-win64.exe"
 

src/ColorVectorSpace.jl

@@ -2,14 +2,17 @@ __precompile__(true)
 
 module ColorVectorSpace
 
-using Colors, FixedPointNumbers, SpecialFunctions, Compat
-import StatsBase: histrange
+using Colors, FixedPointNumbers, SpecialFunctions
 
 import Base: ==, +, -, *, /, ^, <, ~
 import Base: abs, abs2, clamp, convert, copy, div, eps, isfinite, isinf,
-    isnan, isless, length, mapreduce, norm, oneunit, promote_array_type,
+    isnan, isless, length, mapreduce, oneunit,
     promote_op, promote_rule, zero, trunc, floor, round, ceil, bswap,
-    mod, rem, atan2, hypot, max, min, varm, real, typemin, typemax
+    mod, rem, atan2, hypot, max, min, real, typemin, typemax
+import LinearAlgebra: norm
+import StatsBase: histrange, varm
+import SpecialFunctions: gamma, lgamma, lfact
+import Statistics: middle
 
 export nan
 
@@ -23,9 +26,9 @@ import Base:      conj, sin, cos, tan, sinh, cosh, tanh,
                   asind, atand, rad2deg, deg2rad,
                   log, log2, log10, log1p, exponent, exp,
                   exp2, expm1, cbrt, sqrt,
-                  significand, lgamma,
-                  gamma, lfact, frexp, modf,
-                  float, middle
+                  significand,
+                  frexp, modf,
+                  float
 
 export dotc
 
@@ -60,14 +63,9 @@ end
 
 for f in (:trunc, :floor, :round, :ceil, :eps, :bswap)
     @eval $f(g::Gray{T}) where {T} = Gray{T}($f(gray(g)))
-    @eval Compat.@dep_vectorize_1arg Gray $f
 end
 eps(::Type{Gray{T}}) where {T} = Gray(eps(T))
-Compat.@dep_vectorize_1arg AbstractGray isfinite
-Compat.@dep_vectorize_1arg AbstractGray isinf
-Compat.@dep_vectorize_1arg AbstractGray isnan
-Compat.@dep_vectorize_1arg AbstractGray abs
-Compat.@dep_vectorize_1arg AbstractGray abs2
+
 for f in (:trunc, :floor, :round, :ceil)
     @eval $f(::Type{T}, g::Gray) where {T<:Integer} = Gray{T}($f(T, gray(g)))
 end
@@ -274,7 +272,7 @@ function Base.isapprox(x::AbstractArray{Cx},
                        y::AbstractArray{Cy};
                        rtol::Real=Base.rtoldefault(eltype(Cx),eltype(Cy),0),
                        atol::Real=0,
-                       norm::Function=vecnorm) where {Cx<:MathTypes,Cy<:MathTypes}
+                       norm::Function=norm) where {Cx<:MathTypes,Cy<:MathTypes}
     d = norm(x - y)
     if isfinite(d)
         return d <= atol + rtol*max(norm(x), norm(y))
@@ -293,16 +291,8 @@ dotc(x::AbstractGray, y::AbstractGray) = dotc(promote(x, y)...)
 float(::Type{T}) where {T<:Gray} = typeof(float(zero(T)))
 
 # Mixed types
-if VERSION < v"0.7.0-DEV.2138"
-    (+)(a::MathTypes, b::MathTypes) = (+)(Base.promote_noncircular(a, b)...)
-    (-)(a::MathTypes, b::MathTypes) = (-)(Base.promote_noncircular(a, b)...)
-else
-    (+)(a::MathTypes, b::MathTypes) = (+)(promote(a, b)...)
-    (-)(a::MathTypes, b::MathTypes) = (-)(promote(a, b)...)
-end
-
-Compat.@dep_vectorize_2arg Gray max
-Compat.@dep_vectorize_2arg Gray min
+(+)(a::MathTypes, b::MathTypes) = (+)(promote(a, b)...)
+(-)(a::MathTypes, b::MathTypes) = (-)(promote(a, b)...)
 
 # Arrays
 +(A::AbstractArray{C}) where {C<:MathTypes} = A
@@ -345,7 +335,6 @@ real(::Type{C}) where {C<:AbstractGray} = real(eltype(C))
 histrange(v::AbstractArray{Gray{T}}, n::Integer) where {T} = histrange(convert(Array{Float32}, map(gray, v)), n, :right)
 
 # To help type inference
-promote_array_type(F, ::Type{T}, ::Type{C}) where {T<:Real,C<:MathTypes} = base_colorant_type(C){Base.promote_array_type(F, T, eltype(C))}
 promote_rule(::Type{T}, ::Type{C}) where {T<:Real,C<:AbstractGray} = promote_type(T, eltype(C))
 
 typemin(::Type{T}) where {T<:ColorTypes.AbstractGray} = T(typemin(eltype(T)))
@@ -354,18 +343,4 @@ typemax(::Type{T}) where {T<:ColorTypes.AbstractGray} = T(typemax(eltype(T)))
 typemin(::T) where {T<:ColorTypes.AbstractGray} = T(typemin(eltype(T)))
 typemax(::T) where {T<:ColorTypes.AbstractGray} = T(typemax(eltype(T)))
 
-# deprecations
-function Base.one(::Type{C}) where {C<:Union{TransparentGray,AbstractRGB,TransparentRGB}}
-    Base.depwarn("one($C) will soon switch to returning 1; you might need to switch to `oneunit`", :one)
-    C(_onetuple(C)...)
-end
-_onetuple(::Type{C}) where {C<:Colorant{T,N}} where {T,N} = ntuple(d->1, Val(N))
-
-for f in (:min, :max)
-    @eval begin
-        @deprecate($f{T<:Gray}(x::Number, y::AbstractArray{T}), $f.(x, y))
-        @deprecate($f{T<:Gray}(x::AbstractArray{T}, y::Number), $f.(x, y))
-    end
-end
-
 end

test/REQUIRE

@@ -1,2 +1 @@
-BaseTestNext
 StatsBase

test/runtests.jl

@@ -1,8 +1,11 @@
 module ColorVectorSpaceTests
 
-using ColorVectorSpace, Colors, FixedPointNumbers, Compat, StatsBase
+using LinearAlgebra, Statistics
+using ColorVectorSpace, Colors, FixedPointNumbers, StatsBase
 
-using Base.Test
+using Test
+
+const var = Statistics.var
 
 macro test_colortype_approx_eq(a, b)
     :(test_colortype_approx_eq($(esc(a)), $(esc(b)), $(string(a)), $(string(b))))
@@ -57,8 +60,6 @@ end
         @test 2.0f0*cu == Gray(2.0f0*cu.val)
         f = N0f8(0.5)
         @test (f*cu).val ≈ f*cu.val
-        @test 2 .* cf == ccmp
-        @test cf.*2 == ccmp
         @test cf/2.0f0 == Gray{Float32}(0.05)
         @test cu/2 == Gray(cu.val/2)
         @test cu/0.5f0 == Gray(cu.val/0.5f0)
@@ -89,8 +90,6 @@ end
         @test typeof(acu-acf) == Vector{Gray{Float32}}
         @test typeof(acu.+acf) == Vector{Gray{Float32}}
         @test typeof(acu.-acf) == Vector{Gray{Float32}}
-        @test typeof(acu+cf) == Vector{Gray{Float32}}
-        @test typeof(acu-cf) == Vector{Gray{Float32}}
         @test typeof(acu.+cf) == Vector{Gray{Float32}}
         @test typeof(acu.-cf) == Vector{Gray{Float32}}
         @test typeof(2*acf) == Vector{Gray{Float32}}
@@ -161,6 +160,7 @@ end
                     v = @eval $op(gray(g))  # if this fails, don't bother
                     @show op
                     @test op(g) == v
+                catch
                 end
             end
         end
@@ -225,8 +225,6 @@ end
         @test_colortype_approx_eq 2.0f0*cu RGB(2.0f0*cu.r, 2.0f0*cu.g, 2.0f0*cu.b)
         f = N0f8(0.5)
         @test (f*cu).r ≈ f*cu.r
-        @test 2 .* cf == ccmp
-        @test cf.*2 == ccmp
         @test cf/2.0f0 == RGB{Float32}(0.05,0.1,0.15)
         @test cu/2 ≈ RGB(cu.r/2,cu.g/2,cu.b/2)
         @test cu/0.5f0 == RGB(cu.r/0.5f0, cu.g/0.5f0, cu.b/0.5f0)
@@ -300,8 +298,6 @@ end
         @test_colortype_approx_eq 2.0f0*cu RGBA(2.0f0*cu.r, 2.0f0*cu.g, 2.0f0*cu.b, 2.0f0*cu.alpha)
         f = N0f8(0.5)
         @test (f*cu).r ≈ f*cu.r
-        @test 2 .* cf == ccmp
-        @test cf.*2 == ccmp
         @test cf/2.0f0 == RGBA{Float32}(0.05,0.1,0.15,0.2)
         @test cu/2 == RGBA(cu.r/2,cu.g/2,cu.b/2,cu.alpha/2)
         @test cu/0.5f0 == RGBA(cu.r/0.5f0, cu.g/0.5f0, cu.b/0.5f0, cu.alpha/0.5f0)
@@ -379,7 +375,7 @@ end
             @test typemax(Gray{T}) === Gray{T}(typemax(T))
             @test typemin(Gray{T}(0.5)) === Gray{T}(typemin(T))
             @test typemax(Gray{T}(0.5)) === Gray{T}(typemax(T))
-            A = maximum(Gray{T}.([1 0 0; 0 1 0]), 1)  # see PR#44 discussion
+            A = maximum(Gray{T}.([1 0 0; 0 1 0]); dims=1)  # see PR#44 discussion
             @test isa(A, Matrix{Gray{T}})
             @test size(A) == (1,3)
         end