Revision c6b32510c32848d2476d0eb78548ee8d952bc8fe authored by Curtis Vogt on 20 February 2017, 14:09:32 UTC, committed by Tony Kelman on 20 February 2017, 14:09:32 UTC
* Use mbedTLS hostname verification for LibGit2

Corrects issues with hostname verification failing when the SSL subjectAltName is not
specified and the CN should be used.

* Add test for mbedTLS verification

* Made mbedTLS verification a seperate patch

* Disable startup-file

* Remove use of which

* Changes from PR review

* Use localhost when hostname isn't set to loopback

* Handle getaddrinfo exception

* Improve warning message

* Add libgit2-mbedtls-hostname.patch dependency

libgit2-mbedtls-hostname patch directly depends on the libgit2-mbedtls
patch. The libgit2-mbedtls-writer-fix patch also modifies the
mbedtls_stream.c file seperate section of the file. To ensure that the
patches are always applied in the same order we'll make the hostname
patch dependent on the writer-fix patch.
1 parent 9706c8b
Raw File
rowvector.jl
# This file is a part of Julia. License is MIT: http://julialang.org/license

@testset "Core" begin
    v = [1,2,3]
    z = [1+im,2,3]

    @test RowVector(v) == [1 2 3]
    @test RowVector{Int}(v) == [1 2 3]
    @test size(RowVector{Int}(3)) === (1,3)
    @test size(RowVector{Int}(1,3)) === (1,3)
    @test size(RowVector{Int}((3,))) === (1,3)
    @test size(RowVector{Int}((1,3))) === (1,3)
    @test_throws ErrorException RowVector{Float64, Vector{Int}}(v)

    @test (v.')::RowVector == [1 2 3]
    @test (v')::RowVector == [1 2 3]
    @test (z.')::RowVector == [1+im 2 3]
    @test (z')::RowVector == [1-im 2 3]

    rv = v.'
    tz = z.'

    @test (rv.')::Vector == [1, 2, 3]
    @test (rv')::Vector == [1, 2, 3]
    @test (tz.')::Vector == [1+im, 2, 3]
    @test (tz')::Vector == [1-im, 2, 3]

    @test conj(rv) === rv
    @test conj(tz) == [1-im 2 3]

    @test isa(similar(rv), RowVector)
    @test isa(similar(rv, Float64), RowVector)
    @test isa(copy(rv), RowVector)

    @test rv[2] === v[2]
    @test rv[1,2] === v[2]

    @test (rv2 = copy(rv); rv2[2] = 6; rv2[2] === 6)
    @test (rv2 = copy(rv); rv2[1,2] = 6; rv2[2] === 6)

    @test length(rv) === 3
    @test size(rv) === (1,3)
    @test size(rv,1) === 1
    @test size(rv,2) === 3

    @test map(-, rv)::RowVector == [-1 -2 -3]
    @test (-).(rv)::RowVector == [-1 -2 -3]
    @test (-).(rv,1)::RowVector == [0  1  2]

    y = rand(Complex{Float64},3)
    @test sum(abs2, imag.(diag(y .+ y'))) < 1e-20
end

@testset "Diagonal ambiguity methods" begin
    d = Diagonal([1,2,3])
    v = [2,3,4]
    rv = v.'

    @test (rv*d)::RowVector == [2,6,12].'
    @test_throws DimensionMismatch d*rv

    @test (d*rv.')::Vector == [2,6,12]

    @test_throws DimensionMismatch rv.'*d

    @test (d*rv')::Vector == [2,6,12]

    @test_throws DimensionMismatch rv'*d

    @test (rv/d)::RowVector ≈ [2/1  3/2  4/3]

    @test_throws DimensionMismatch d \ rv
end

@testset "Bidiagonal ambiguity methods" begin
    bd = Bidiagonal([1,2,3], [0,0], true)
    v = [2,3,4]
    rv = v.'

    @test (rv/bd)::RowVector ≈ [2/1  3/2  4/3]

    @test_throws DimensionMismatch bd \ rv
end

@testset "hcat" begin
    @test isa([([1, 2, 3].') 4], RowVector{Int})
    @test isa([([1, 2, 3].') ([4, 5].')], RowVector{Int})
end

@testset "Left Division" begin
    mat = diagm([1,2,3])
    v = [2,3,4]
    rv = v.'

    @test_throws DimensionMismatch mat \ rv
end

@testset "Multiplication" begin
    v = [1,2,3]
    rv = v.'
    mat = diagm([1,2,3])

    @test (rv*v) === 14
    @test (rv*mat)::RowVector == [1 4 9]
    @test [1]*reshape([1],(1,1)) == reshape([1], (1,1))
    @test_throws DimensionMismatch rv*rv
    @test (v*rv)::Matrix == [1 2 3; 2 4 6; 3 6 9]
    @test_throws DimensionMismatch v*v # Was previously a missing method error, now an error message
    @test_throws DimensionMismatch mat*rv

    @test_throws DimensionMismatch rv*v.'
    @test (rv*mat.')::RowVector == [1 4 9]
    @test [1]*reshape([1],(1,1)).' == reshape([1], (1,1))
    @test rv*rv.' === 14
    @test_throws DimensionMismatch v*rv.'
    @test (v*v.')::Matrix == [1 2 3; 2 4 6; 3 6 9]
    @test (mat*rv.')::Vector == [1,4,9]

    @test (rv.'*v.')::Matrix == [1 2 3; 2 4 6; 3 6 9]
    @test_throws DimensionMismatch rv.'*mat.'
    @test (v.'*mat.')::RowVector == [1 4 9]
    @test_throws DimensionMismatch rv.'*rv.'
    @test v.'*rv.' === 14
    @test_throws DimensionMismatch v.'*v.'
    @test (mat.'*rv.')::Vector == [1,4,9]

    @test_throws DimensionMismatch rv.'*v
    @test_throws DimensionMismatch rv.'*mat
    @test (v.'*mat)::RowVector == [1 4 9]
    @test (rv.'*rv)::Matrix == [1 2 3; 2 4 6; 3 6 9]
    @test_throws DimensionMismatch v.'*rv
    @test v.'*v === 14
    @test_throws DimensionMismatch mat.'*rv

    z = [1+im,2,3]
    cz = z'
    mat = diagm([1+im,2,3])

    @test cz*z === 15 + 0im

    @test_throws DimensionMismatch cz*z'
    @test (cz*mat')::RowVector == [-2im 4 9]
    @test [1]*reshape([1],(1,1))' == reshape([1], (1,1))
    @test cz*cz' === 15 + 0im
    @test_throws DimensionMismatch z*cz'
    @test (z*z')::Matrix == [2 2+2im 3+3im; 2-2im 4 6; 3-3im 6 9]
    @test (mat*cz')::Vector == [2im,4,9]

    @test (cz'*z')::Matrix == [2 2+2im 3+3im; 2-2im 4 6; 3-3im 6 9]
    @test_throws DimensionMismatch cz'*mat'
    @test (z'*mat')::RowVector == [-2im 4 9]
    @test_throws DimensionMismatch cz'*cz'
    @test z'*cz' === 15 + 0im
    @test_throws DimensionMismatch z'*z'
    @test (mat'*cz')::Vector == [2,4,9]

    @test_throws DimensionMismatch cz'*z
    @test_throws DimensionMismatch cz'*mat
    @test (z'*mat)::RowVector == [2 4 9]
    @test (cz'*cz)::Matrix == [2 2+2im 3+3im; 2-2im 4 6; 3-3im 6 9]
    @test_throws DimensionMismatch z'*cz
    @test z'*z === 15 + 0im
    @test_throws DimensionMismatch mat'*cz
end

@testset "norm" begin
   @test norm([3.0,4.0].') ≈ 5.0
   @test norm([3.0,4.0].', 1) ≈ 4.0
   @test norm([3.0,4.0].', Inf) ≈ 7.0
end

@testset "QR ambiguity methods" begin
    qrmat = Base.LinAlg.getq(qrfact(eye(3)))
    v = [2,3,4]
    rv = v.'

    @test (rv*qrmat')::RowVector == [2 3 4]
end

@testset "Right Division" begin
    mat = diagm([1,2,3])
    v = [2,3,4]
    rv = v.'

    @test (rv/mat)::RowVector ≈ [2/1  3/2  4/3]

    @test (v.'/mat)::RowVector ≈ [2/1  3/2  4/3]
    @test (v.'/mat.')::RowVector ≈ [2/1  3/2  4/3]
    @test (rv/mat.')::RowVector ≈ [2/1  3/2  4/3]

    @test (v'/mat)::RowVector ≈ [2/1  3/2  4/3]
    @test (v'/mat')::RowVector ≈ [2/1  3/2  4/3]
    @test (rv/mat')::RowVector ≈ [2/1  3/2  4/3]
end

@testset "Sparse ambiguity methods" begin
    mat = sparse(diagm([1,2,3]))
    v = [2,3,4]
    rv = v.'

    @test (rv/mat)::RowVector ≈ [2/1  3/2  4/3]

    @test_throws DimensionMismatch mat\rv
end

@testset "AbstractTriangular ambiguity methods" begin
    ut = UpperTriangular([1 0 0; 0 2 0; 0 0 3])
    v = [2,3,4]
    rv = v.'

    @test (rv*ut)::RowVector == [2 6 12]
    @test_throws DimensionMismatch ut*rv

    @test (rv*ut.')::RowVector == [2 6 12]
    @test (ut*rv.')::Vector == [2,6,12]

    @test (ut.'*rv.')::Vector == [2,6,12]
    @test_throws DimensionMismatch rv.'*ut.'

    @test_throws DimensionMismatch ut.'*rv
    @test_throws DimensionMismatch rv.'*ut

    @test (rv*ut')::RowVector == [2 6 12]
    @test (ut*rv')::Vector == [2,6,12]

    @test_throws DimensionMismatch rv'*ut'
    @test (ut'*rv')::Vector == [2,6,12]

    @test_throws DimensionMismatch ut'*rv
    @test_throws DimensionMismatch rv'*ut

    @test (rv/ut)::RowVector ≈ [2/1  3/2  4/3]
    @test (rv/ut.')::RowVector ≈ [2/1  3/2  4/3]
    @test (rv/ut')::RowVector ≈ [2/1  3/2  4/3]

    @test_throws DimensionMismatch ut\rv
end

# issue #20389
@testset "1 row/col vec*mat" begin
    let x=[1,2,3], A=ones(1,4), y=x', B=A', C=x.*A
        @test x*A == y'*A == x*B' == y'*B' == C
        @test A'*x' == A'*y == B*x' == B*y == C'
    end
end
@testset "complex 1 row/col vec*mat" begin
    let x=[1,2,3]*im, A=ones(1,4)*im, y=x', B=A', C=x.*A
        @test x*A == y'*A == x*B' == y'*B' == C
        @test A'*x' == A'*y == B*x' == B*y == C'
    end
end
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