reduce.jl
# This file is a part of Julia. License is MIT: http://julialang.org/license
# fold(l|r) & mapfold(l|r)
@test foldl(+, Int64[]) === Int64(0) # In reference to issues #7465/#20144 (PR #20160)
@test foldl(+, Int16[]) === Int32(0)
@test foldl(-, 1:5) == -13
@test foldl(-, 10, 1:5) == -5
@test Base.mapfoldl(abs2, -, 2:5) == -46
@test Base.mapfoldl(abs2, -, 10, 2:5) == -44
@test Base.mapfoldl(abs2, /, 2:5) ≈ 1/900
@test Base.mapfoldl(abs2, /, 10, 2:5) ≈ 1/1440
@test Base.mapfoldl((x)-> x ⊻ true, &, true, [true false true false false]) == false
@test Base.mapfoldl((x)-> x ⊻ true, &, [true false true false false]) == false
@test Base.mapfoldl((x)-> x ⊻ true, |, [true false true false false]) == true
@test Base.mapfoldl((x)-> x ⊻ true, |, false, [true false true false false]) == true
@test foldr(+, Int64[]) === Int64(0) # In reference to issue #20144 (PR #20160)
@test foldr(+, Int16[]) === Int32(0)
@test foldr(-, 1:5) == 3
@test foldr(-, 10, 1:5) == -7
@test Base.mapfoldr(abs2, -, 2:5) == -14
@test Base.mapfoldr(abs2, -, 10, 2:5) == -4
# reduce
@test reduce(+, Int64[]) === Int64(0) # In reference to issue #20144 (PR #20160)
@test reduce(+, Int16[]) === Int32(0)
@test reduce((x,y)->"($x+$y)", 9:11) == "((9+10)+11)"
@test reduce(max, [8 6 7 5 3 0 9]) == 9
@test reduce(+, 1000, 1:5) == (1000 + 1 + 2 + 3 + 4 + 5)
@test reduce(+,1) == 1
# mapreduce
@test mapreduce(-, +, [-10 -9 -3]) == ((10 + 9) + 3)
@test mapreduce((x)->x[1:3], (x,y)->"($x+$y)", ["abcd", "efgh", "01234"]) == "((abc+efg)+012)"
# mapreduce() for 1- 2- and n-sized blocks (PR #19325)
@test mapreduce(-, +, [-10]) == 10
@test mapreduce(abs2, +, [-9, -3]) == 81 + 9
@test mapreduce(-, +, [-9, -3, -4, 8, -2]) == (9 + 3 + 4 - 8 + 2)
@test mapreduce(-, +, collect(linspace(1.0, 10000.0, 10000))) == -50005000.0
# mapreduce() type stability
@test typeof(mapreduce(*, +, Int8[10])) ===
typeof(mapreduce(*, +, Int8[10, 11])) ===
typeof(mapreduce(*, +, Int8[10, 11, 12, 13]))
@test typeof(mapreduce(*, +, Float32[10.0])) ===
typeof(mapreduce(*, +, Float32[10, 11])) ===
typeof(mapreduce(*, +, Float32[10, 11, 12, 13]))
# mapreduce() type stability when f supports empty collections
@test typeof(mapreduce(abs, +, Int8[])) ===
typeof(mapreduce(abs, +, Int8[10])) ===
typeof(mapreduce(abs, +, Int8[10, 11])) ===
typeof(mapreduce(abs, +, Int8[10, 11, 12, 13]))
@test typeof(mapreduce(abs, +, Float32[])) ===
typeof(mapreduce(abs, +, Float32[10])) ===
typeof(mapreduce(abs, +, Float32[10, 11])) ===
typeof(mapreduce(abs, +, Float32[10, 11, 12, 13]))
# sum
@test sum(Int8[]) === Int32(0)
@test sum(Int[]) === Int(0)
@test sum(Float64[]) === 0.0
@test sum(Int8(3)) === Int8(3)
@test sum(3) === 3
@test sum(3.0) === 3.0
@test sum([Int8(3)]) === Int32(3)
@test sum([3]) === 3
@test sum([3.0]) === 3.0
z = reshape(1:16, (2,2,2,2))
fz = float(z)
@test sum(z) === 136
@test sum(fz) === 136.0
@test_throws ArgumentError sum(sin, Int[])
@test sum(sin, 3) == sin(3.0)
@test sum(sin, [3]) == sin(3.0)
a = sum(sin, z)
@test a ≈ sum(sin, fz)
@test a ≈ sum(sin.(fz))
z = [-4, -3, 2, 5]
fz = float(z)
a = randn(32) # need >16 elements to trigger BLAS code path
b = complex.(randn(32), randn(32))
# check variants of summation for type-stability and other issues (#6069)
sum2(itr) = invoke(sum, Tuple{Any}, itr)
plus(x,y) = x + y
sum3(A) = reduce(plus, A)
sum4(itr) = invoke(reduce, Tuple{Function, Any}, plus, itr)
sum5(A) = reduce(plus, 0, A)
sum6(itr) = invoke(reduce, Tuple{Function, Int, Any}, plus, 0, itr)
sum7(A) = mapreduce(x->x, plus, A)
sum8(itr) = invoke(mapreduce, Tuple{Function, Function, Any}, x->x, plus, itr)
sum9(A) = mapreduce(x->x, plus, 0, A)
sum10(itr) = invoke(mapreduce, Tuple{Function, Function, Int, Any}, x->x,plus,0,itr)
for f in (sum2, sum5, sum6, sum9, sum10)
@test sum(z) == f(z)
@test sum(Int[]) == f(Int[]) == 0
@test sum(Int[7]) == f(Int[7]) == 7
@test typeof(f(Int8[])) == typeof(f(Int8[1])) == typeof(f(Int8[1 7]))
end
for f in (sum3, sum4, sum7, sum8)
@test sum(z) == f(z)
@test_throws ArgumentError f(Int[])
@test sum(Int[7]) == f(Int[7]) == 7
end
@test typeof(sum(Int8[])) == typeof(sum(Int8[1])) == typeof(sum(Int8[1 7]))
@test sum_kbn([1,1e100,1,-1e100]) === 2.0
@test sum_kbn(Float64[]) === 0.0
@test sum_kbn(i for i=1.0:1.0:10.0) === 55.0
@test sum_kbn(i for i=1:1:10) === 55
@test sum_kbn([1 2 3]) === 6
@test sum_kbn([2+im 3-im]) === 5+0im
@test sum_kbn([1+im 2+3im]) === 3+4im
@test sum_kbn([7 8 9]) === sum_kbn([8 9 7])
@test sum_kbn(i for i=1:1:10) === sum_kbn(i for i=10:-1:1)
@test sum_kbn([-0.0]) === -0.0
@test sum_kbn([-0.0,-0.0]) === -0.0
# prod
@test prod(Int[]) === 1
@test prod(Int8[]) === Int32(1)
@test prod(Float64[]) === 1.0
@test prod([3]) === 3
@test prod([Int8(3)]) === Int32(3)
@test prod([3.0]) === 3.0
@test prod(z) === 120
@test prod(fz) === 120.0
@test prod(1:big(16)) == big(20922789888000)
@test prod(big(typemax(Int64)):big(typemax(Int64))+16) == parse(BigInt,"25300281663413827620486300433089141956148633919452440329174083959168114253708467653081909888307573358090001734956158476311046124934597861626299416732205795533726326734482449215730132757595422510465791525610410023802664753402501982524443370512346073948799084936298007821432734720004795146875180123558814648586972474376192000")
@test typeof(prod(Array(trues(10)))) == Bool
# check type-stability
prod2(itr) = invoke(prod, Tuple{Any}, itr)
@test prod(Int[]) === prod2(Int[]) === 1
@test prod(Int[7]) === prod2(Int[7]) === 7
@test typeof(prod(Int8[])) == typeof(prod(Int8[1])) == typeof(prod(Int8[1, 7])) == Int32
@test typeof(prod2(Int8[])) == typeof(prod2(Int8[1])) == typeof(prod2(Int8[1 7])) == Int32
# maximum & minimum & extrema
@test_throws ArgumentError maximum(Int[])
@test_throws ArgumentError minimum(Int[])
@test maximum(5) == 5
@test minimum(5) == 5
@test extrema(5) == (5, 5)
@test maximum([4, 3, 5, 2]) == 5
@test minimum([4, 3, 5, 2]) == 2
@test extrema([4, 3, 5, 2]) == (2, 5)
@test isnan(maximum([NaN]))
@test isnan(minimum([NaN]))
@test isequal(extrema([NaN]), (NaN, NaN))
@test isnan(maximum([NaN, 2.]))
@test isnan(minimum([NaN, 2.]))
@test isequal(extrema([NaN, 2.]), (NaN,NaN))
@test isnan(maximum([NaN, 2., 3.]))
@test isnan(minimum([NaN, 2., 3.]))
@test isequal(extrema([NaN, 2., 3.]), (NaN,NaN))
@test isnan(maximum([4., 3., NaN, 5., 2.]))
@test isnan(minimum([4., 3., NaN, 5., 2.]))
@test isequal(extrema([4., 3., NaN, 5., 2.]), (NaN,NaN))
# test long arrays
@test isnan(maximum([NaN; 1.:10000.]))
@test isnan(maximum([1.:10000.; NaN]))
@test isnan(minimum([NaN; 1.:10000.]))
@test isnan(minimum([1.:10000.; NaN]))
@test isequal(extrema([1.:10000.; NaN]), (NaN,NaN))
@test isequal(extrema([NaN; 1.:10000.]), (NaN,NaN))
@test maximum(abs2, 3:7) == 49
@test minimum(abs2, 3:7) == 9
@test maximum(Int16[1]) === Int16(1)
@test maximum(collect(Int16(1):Int16(100))) === Int16(100)
@test maximum(Int32[1,2]) === Int32(2)
@test extrema(reshape(1:24,2,3,4),1) == reshape([(1,2),(3,4),(5,6),(7,8),(9,10),(11,12),(13,14),(15,16),(17,18),(19,20),(21,22),(23,24)],1,3,4)
@test extrema(reshape(1:24,2,3,4),2) == reshape([(1,5),(2,6),(7,11),(8,12),(13,17),(14,18),(19,23),(20,24)],2,1,4)
@test extrema(reshape(1:24,2,3,4),3) == reshape([(1,19),(2,20),(3,21),(4,22),(5,23),(6,24)],2,3,1)
# any & all
@test any([]) == false
@test any(Bool[]) == false
@test any([true]) == true
@test any([false, false]) == false
@test any([false, true]) == true
@test any([true, false]) == true
@test any([true, true]) == true
@test any([true, true, true]) == true
@test any([true, false, true]) == true
@test any([false, false, false]) == false
@test all([]) == true
@test all(Bool[]) == true
@test all([true]) == true
@test all([false, false]) == false
@test all([false, true]) == false
@test all([true, false]) == false
@test all([true, true]) == true
@test all([true, true, true]) == true
@test all([true, false, true]) == false
@test all([false, false, false]) == false
@test any(x->x>0, []) == false
@test any(x->x>0, Int[]) == false
@test any(x->x>0, [-3]) == false
@test any(x->x>0, [4]) == true
@test any(x->x>0, [-3, 4, 5]) == true
@test all(x->x>0, []) == true
@test all(x->x>0, Int[]) == true
@test all(x->x>0, [-3]) == false
@test all(x->x>0, [4]) == true
@test all(x->x>0, [-3, 4, 5]) == false
@test reduce((a, b) -> a .| b, fill(trues(5), 24)) == trues(5)
@test reduce((a, b) -> a .| b, fill(falses(5), 24)) == falses(5)
@test reduce((a, b) -> a .& b, fill(trues(5), 24)) == trues(5)
@test reduce((a, b) -> a .& b, fill(falses(5), 24)) == falses(5)
@test_throws TypeError any(x->0, [false])
@test_throws TypeError all(x->0, [false])
# short-circuiting any and all
let c = [0, 0], A = 1:1000
any(x->(c[1]=x; x==10), A)
all(x->(c[2]=x; x!=10), A)
@test c == [10,10]
end
# 19151 - always short circuit
let c = Int[], d = Int[], A = 1:9
all((push!(c, x); x < 5) for x in A)
@test c == collect(1:5)
any((push!(d, x); x > 4) for x in A)
@test d == collect(1:5)
end
# any/all with non-boolean collections
let f(x) = x == 1 ? true : x == 2 ? false : 1
@test any(Any[false,true,false])
@test any(map(f, [2,1,2]))
@test any([f(x) for x in [2,1,2]])
@test all(Any[true,true,true])
@test all(map(f, [1,1,1]))
@test all([f(x) for x in [1,1,1]])
@test_throws TypeError any([1,true])
@test_throws TypeError all([true,1])
@test_throws TypeError any(map(f,[3,1]))
@test_throws TypeError all(map(f,[1,3]))
end
# any and all with functors
struct SomeFunctor end
(::SomeFunctor)(x) = true
@test any(SomeFunctor(), 1:10)
@test all(SomeFunctor(), 1:10)
# in
@test in(1, Int[]) == false
@test in(1, Int[1]) == true
@test in(1, Int[2]) == false
@test in(0, 1:3) == false
@test in(1, 1:3) == true
@test in(2, 1:3) == true
# contains
@test contains("quick fox", "fox") == true
@test contains("quick fox", "lazy dog") == false
# count & countnz
@test count(x->x>0, Int[]) == count(Bool[]) == 0
@test count(x->x>0, -3:5) == count((-3:5) .> 0) == 5
@test count([true, true, false, true]) == count(BitVector([true, true, false, true])) == 3
@test_throws TypeError count(sqrt, [1])
@test_throws TypeError count([1])
let itr = (x for x in 1:10 if x < 7)
@test count(iseven, itr) == 3
@test_throws TypeError count(itr)
@test_throws TypeError count(sqrt, itr)
end
@test count(iseven(x) for x in 1:10 if x < 7) == 3
@test count(iseven(x) for x in 1:10 if x < -7) == 0
@test countnz(Int[]) == 0
@test countnz(Int[0]) == 0
@test countnz(Int[1]) == 1
@test countnz([1, 0, 2, 0, 3, 0, 4]) == 4
## cumsum, cummin, cummax
z = rand(10^6)
let es = sum_kbn(z), es2 = sum_kbn(z[1:10^5])
@test (es - sum(z)) < es * 1e-13
cs = cumsum(z)
@test (es - cs[end]) < es * 1e-13
@test (es2 - cs[10^5]) < es2 * 1e-13
end
@test sum(collect(map(UInt8,0:255))) == 32640
@test sum(collect(map(UInt8,254:255))) == 509
A = reshape(map(UInt8, 101:109), (3,3))
@test @inferred(sum(A)) == 945
@test @inferred(sum(view(A, 1:3, 1:3))) == 945
A = reshape(map(UInt8, 1:100), (10,10))
@test @inferred(sum(A)) == 5050
@test @inferred(sum(view(A, 1:10, 1:10))) == 5050
# issue #11618
@test sum([-0.0]) === -0.0
@test sum([-0.0, -0.0]) === -0.0
@test prod([-0.0, -0.0]) === 0.0
#contains
let A = collect(1:10)
@test A ∋ 5
@test A ∌ 11
@test contains(==,A,6)
end
# issue #18695
test18695(r) = sum( t^2 for t in r )
@test @inferred(test18695([1.0,2.0,3.0,4.0])) == 30.0
@test_throws ArgumentError test18695(Any[])