Merge pull request #15192 from pkofod/pkm/issymmetric

Changed issym to issymmetric.

NEWS.md

@@ -126,6 +126,8 @@ Deprecated or removed
 
   * Deprecate `chol(A,Val{:U/:L})` in favor of `chol(A)` ([#13680]).
 
+  * `issym` is deprecated in favor of `issymmetric` to match similar functions (`ishermitian`, ...) ([#15192])
+
 Julia v0.4.0 Release Notes
 ==========================
 

base/deprecated.jl

@@ -990,3 +990,6 @@ end
 export call
 
 @deprecate_binding LambdaStaticData LambdaInfo
+
+# Changed issym to issymmetric. #15192
+@deprecate issym issymmetric

base/docs/helpdb/Base.jl

@@ -6698,11 +6698,11 @@ The arguments to a function or constructor are outside the valid domain.
 DomainError
 
 """
-    issym(A) -> Bool
+    issymmetric(A) -> Bool
 
 Test whether a matrix is symmetric.
 """
-issym
+issymmetric
 
 """
     acosh(x)
@@ -8427,7 +8427,7 @@ rand!
 
 Compute the Bunch-Kaufman [^Bunch1977] factorization of a real symmetric or complex Hermitian
 matrix `A` and return a `BunchKaufman` object. The following functions are available for
-`BunchKaufman` objects: `size`, `\\`, `inv`, `issym`, `ishermitian`.
+`BunchKaufman` objects: `size`, `\\`, `inv`, `issymmetric`, `ishermitian`.
 
 [^Bunch1977]: J R Bunch and L Kaufman, Some stable methods for calculating inertia and solving symmetric linear systems, Mathematics of Computation 31:137 (1977), 163-179. [url](http://www.ams.org/journals/mcom/1977-31-137/S0025-5718-1977-0428694-0).
 

base/exports.jl

@@ -664,7 +664,7 @@ export
     ishermitian,
     isposdef!,
     isposdef,
-    issym,
+    issymmetric,
     istril,
     istriu,
     kron,

base/linalg.jl

@@ -82,7 +82,7 @@ export
     ishermitian,
     isposdef,
     isposdef!,
-    issym,
+    issymmetric,
     istril,
     istriu,
     kron,

base/linalg/arnoldi.jl

@@ -154,7 +154,7 @@ function _eigs(A, B;
     T = eltype(A)
     iscmplx = T <: Complex
     isgeneral = B !== I
-    sym = issym(A) && !iscmplx
+    sym = issymmetric(A) && !iscmplx
     nevmax=sym ? n-1 : n-2
     if nevmax <= 0
         throw(ArgumentError("Input matrix A is too small. Use eigfact instead."))
@@ -297,7 +297,7 @@ end
 ## v = [ left_singular_vector; right_singular_vector ]
 *{T,S}(s::SVDOperator{T,S}, v::Vector{T}) = [s.X * v[s.m+1:end]; s.X' * v[1:s.m]]
 size(s::SVDOperator)  = s.m + s.n, s.m + s.n
-issym(s::SVDOperator) = true
+issymmetric(s::SVDOperator) = true
 
 svds{T<:BlasFloat}(A::AbstractMatrix{T}; kwargs...) = _svds(A; kwargs...)
 svds(A::AbstractMatrix{BigFloat}; kwargs...) = throw(MethodError(svds, Any[A, kwargs...]))

base/linalg/bitarray.jl

@@ -134,8 +134,8 @@ end
 
 ## Structure query functions
 
-issym(A::BitMatrix) = size(A, 1)==size(A, 2) && countnz(A - A.')==0
-ishermitian(A::BitMatrix) = issym(A)
+issymmetric(A::BitMatrix) = size(A, 1)==size(A, 2) && countnz(A - A.')==0
+ishermitian(A::BitMatrix) = issymmetric(A)
 
 function nonzero_chunks(chunks::Vector{UInt64}, pos0::Int, pos1::Int)
     k0, l0 = Base.get_chunks_id(pos0)

base/linalg/bunchkaufman.jl

@@ -14,30 +14,30 @@ immutable BunchKaufman{T,S<:AbstractMatrix} <: Factorization{T}
 end
 BunchKaufman{T}(LD::AbstractMatrix{T}, ipiv::Vector{BlasInt}, uplo::Char, symmetric::Bool, rook::Bool) = BunchKaufman{T,typeof(LD)}(LD, ipiv, uplo, symmetric, rook)
 
-function bkfact!{T<:BlasReal}(A::StridedMatrix{T}, uplo::Symbol=:U, symmetric::Bool=issym(A), rook::Bool=false)
+function bkfact!{T<:BlasReal}(A::StridedMatrix{T}, uplo::Symbol=:U, symmetric::Bool=issymmetric(A), rook::Bool=false)
     if !symmetric
         throw(ArgumentError("Bunch-Kaufman decomposition is only valid for symmetric matrices"))
     end
     LD, ipiv = rook ? LAPACK.sytrf_rook!(char_uplo(uplo) , A) : LAPACK.sytrf!(char_uplo(uplo) , A)
     BunchKaufman(LD, ipiv, char_uplo(uplo), symmetric, rook)
 end
-function bkfact!{T<:BlasComplex}(A::StridedMatrix{T}, uplo::Symbol=:U, symmetric::Bool=issym(A), rook::Bool=false)
+function bkfact!{T<:BlasComplex}(A::StridedMatrix{T}, uplo::Symbol=:U, symmetric::Bool=issymmetric(A), rook::Bool=false)
     if rook
         LD, ipiv = (symmetric ? LAPACK.sytrf_rook! : LAPACK.hetrf_rook!)(char_uplo(uplo) , A)
     else
         LD, ipiv = (symmetric ? LAPACK.sytrf! : LAPACK.hetrf!)(char_uplo(uplo) , A)
     end
     BunchKaufman(LD, ipiv, char_uplo(uplo), symmetric, rook)
 end
-bkfact{T<:BlasFloat}(A::StridedMatrix{T}, uplo::Symbol=:U, symmetric::Bool=issym(A), rook::Bool=false) = bkfact!(copy(A), uplo, symmetric, rook)
-bkfact{T}(A::StridedMatrix{T}, uplo::Symbol=:U, symmetric::Bool=issym(A), rook::Bool=false) = bkfact!(convert(Matrix{promote_type(Float32,typeof(sqrt(one(T))))},A),uplo,symmetric,rook)
+bkfact{T<:BlasFloat}(A::StridedMatrix{T}, uplo::Symbol=:U, symmetric::Bool=issymmetric(A), rook::Bool=false) = bkfact!(copy(A), uplo, symmetric, rook)
+bkfact{T}(A::StridedMatrix{T}, uplo::Symbol=:U, symmetric::Bool=issymmetric(A), rook::Bool=false) = bkfact!(convert(Matrix{promote_type(Float32,typeof(sqrt(one(T))))},A),uplo,symmetric,rook)
 
 convert{T}(::Type{BunchKaufman{T}},B::BunchKaufman) = BunchKaufman(convert(Matrix{T},B.LD),B.ipiv,B.uplo,B.symmetric,B.rook)
 convert{T}(::Type{Factorization{T}}, B::BunchKaufman) = convert(BunchKaufman{T}, B)
 
 size(B::BunchKaufman) = size(B.LD)
 size(B::BunchKaufman,d::Integer) = size(B.LD,d)
-issym(B::BunchKaufman) = B.symmetric
+issymmetric(B::BunchKaufman) = B.symmetric
 ishermitian(B::BunchKaufman) = !B.symmetric
 
 function inv{T<:BlasReal}(B::BunchKaufman{T})
@@ -49,7 +49,7 @@ function inv{T<:BlasReal}(B::BunchKaufman{T})
 end
 
 function inv{T<:BlasComplex}(B::BunchKaufman{T})
-    if issym(B)
+    if issymmetric(B)
         if B.rook
             copytri!(LAPACK.sytri_rook!(B.uplo, copy(B.LD), B.ipiv), B.uplo)
         else
@@ -73,9 +73,9 @@ function A_ldiv_B!{T<:BlasReal}(B::BunchKaufman{T}, R::StridedVecOrMat{T})
 end
 function A_ldiv_B!{T<:BlasComplex}(B::BunchKaufman{T}, R::StridedVecOrMat{T})
     if B.rook
-        (issym(B) ? LAPACK.sytrs_rook! : LAPACK.hetrs_rook!)(B.uplo, B.LD, B.ipiv, R)
+        (issymmetric(B) ? LAPACK.sytrs_rook! : LAPACK.hetrs_rook!)(B.uplo, B.LD, B.ipiv, R)
     else
-        (issym(B) ? LAPACK.sytrs! : LAPACK.hetrs!)(B.uplo, B.LD, B.ipiv, R)
+        (issymmetric(B) ? LAPACK.sytrs! : LAPACK.hetrs!)(B.uplo, B.LD, B.ipiv, R)
     end
 end
 
@@ -94,9 +94,9 @@ function det(F::BunchKaufman)
         else
             # 2x2 pivot case. Make sure not to square before the subtraction by scaling with the off-diagonal element. This is safe because the off diagonal is always large for 2x2 pivots.
             if F.uplo == 'U'
-                d *= M[i, i + 1]*(M[i,i]/M[i, i + 1]*M[i + 1, i + 1] - (issym(F) ? M[i, i + 1] : conj(M[i, i + 1])))
+                d *= M[i, i + 1]*(M[i,i]/M[i, i + 1]*M[i + 1, i + 1] - (issymmetric(F) ? M[i, i + 1] : conj(M[i, i + 1])))
             else
-                d *= M[i + 1,i]*(M[i, i]/M[i + 1, i]*M[i + 1, i + 1] - (issym(F) ? M[i + 1, i] : conj(M[i + 1, i])))
+                d *= M[i + 1,i]*(M[i, i]/M[i + 1, i]*M[i + 1, i + 1] - (issymmetric(F) ? M[i + 1, i] : conj(M[i + 1, i])))
             end
             i += 2
         end

base/linalg/dense.jl

@@ -340,7 +340,7 @@ end
 logm(a::Complex) = log(a)
 
 function sqrtm{T<:Real}(A::StridedMatrix{T})
-    if issym(A)
+    if issymmetric(A)
         return full(sqrtm(Symmetric(A)))
     end
     n = checksquare(A)

base/linalg/diagonal.jl

@@ -65,7 +65,7 @@ parent(D::Diagonal) = D.diag
 
 ishermitian{T<:Real}(D::Diagonal{T}) = true
 ishermitian(D::Diagonal) = all(D.diag .== real(D.diag))
-issym(D::Diagonal) = true
+issymmetric(D::Diagonal) = true
 isposdef(D::Diagonal) = all(D.diag .> 0)
 
 factorize(D::Diagonal) = D

base/linalg/eigen.jl

@@ -28,7 +28,7 @@ isposdef(A::Union{Eigen,GeneralizedEigen}) = isreal(A.values) && all(A.values .>
 function eigfact!{T<:BlasReal}(A::StridedMatrix{T}; permute::Bool=true, scale::Bool=true)
     n = size(A, 2)
     n==0 && return Eigen(zeros(T, 0), zeros(T, 0, 0))
-    issym(A) && return eigfact!(Symmetric(A))
+    issymmetric(A) && return eigfact!(Symmetric(A))
     A, WR, WI, VL, VR, _ = LAPACK.geevx!(permute ? (scale ? 'B' : 'P') : (scale ? 'S' : 'N'), 'N', 'V', 'N', A)
     all(WI .== 0.) && return Eigen(WR, VR)
     evec = zeros(Complex{T}, n, n)
@@ -81,7 +81,7 @@ eigvals{T,V,S,U}(F::Union{Eigen{T,V,S,U}, GeneralizedEigen{T,V,S,U}}) = F[:value
 Same as `eigvals`, but saves space by overwriting the input `A` (and `B`), instead of creating a copy.
 """
 function eigvals!{T<:BlasReal}(A::StridedMatrix{T}; permute::Bool=true, scale::Bool=true)
-    issym(A) && return eigvals!(Symmetric(A))
+    issymmetric(A) && return eigvals!(Symmetric(A))
     _, valsre, valsim, _ = LAPACK.geevx!(permute ? (scale ? 'B' : 'P') : (scale ? 'S' : 'N'), 'N', 'N', 'N', A)
     return all(valsim .== 0) ? valsre : complex(valsre, valsim)
 end
@@ -120,7 +120,7 @@ det(A::Eigen) = prod(A.values)
 
 # Generalized eigenproblem
 function eigfact!{T<:BlasReal}(A::StridedMatrix{T}, B::StridedMatrix{T})
-    issym(A) && isposdef(B) && return eigfact!(Symmetric(A), Symmetric(B))
+    issymmetric(A) && isposdef(B) && return eigfact!(Symmetric(A), Symmetric(B))
     n = size(A, 1)
     alphar, alphai, beta, _, vr = LAPACK.ggev!('N', 'V', A, B)
     all(alphai .== 0) && return GeneralizedEigen(alphar ./ beta, vr)
@@ -162,7 +162,7 @@ function eig(A::Number, B::Number)
 end
 
 function eigvals!{T<:BlasReal}(A::StridedMatrix{T}, B::StridedMatrix{T})
-    issym(A) && isposdef(B) && return eigvals!(Symmetric(A), Symmetric(B))
+    issymmetric(A) && isposdef(B) && return eigvals!(Symmetric(A), Symmetric(B))
     alphar, alphai, beta, vl, vr = LAPACK.ggev!('N', 'N', A, B)
     return (all(alphai .== 0) ? alphar : complex(alphar, alphai))./beta
 end

base/linalg/generic.jl

@@ -382,7 +382,7 @@ condskeel{T<:Integer}(A::AbstractMatrix{T}, p::Real=Inf) = norm(abs(inv(float(A)
 condskeel(A::AbstractMatrix, x::AbstractVector, p::Real=Inf) = norm(abs(inv(A))*abs(A)*abs(x), p)
 condskeel{T<:Integer}(A::AbstractMatrix{T}, x::AbstractVector, p::Real=Inf) = norm(abs(inv(float(A)))*abs(A)*abs(x), p)
 
-function issym(A::AbstractMatrix)
+function issymmetric(A::AbstractMatrix)
     m, n = size(A)
     if m != n
         return false
@@ -395,7 +395,7 @@ function issym(A::AbstractMatrix)
     return true
 end
 
-issym(x::Number) = true
+issymmetric(x::Number) = true
 
 function ishermitian(A::AbstractMatrix)
     m, n = size(A)

base/linalg/symmetric.jl

@@ -59,9 +59,9 @@ copy{T,S}(A::Hermitian{T,S}) = Hermitian{T,S}(copy(A.data),A.uplo)
 ishermitian(A::Hermitian) = true
 ishermitian{T<:Real,S}(A::Symmetric{T,S}) = true
 ishermitian{T<:Complex,S}(A::Symmetric{T,S}) = all(imag(A.data) .== 0)
-issym{T<:Real,S}(A::Hermitian{T,S}) = true
-issym{T<:Complex,S}(A::Hermitian{T,S}) = all(imag(A.data) .== 0)
-issym(A::Symmetric) = true
+issymmetric{T<:Real,S}(A::Hermitian{T,S}) = true
+issymmetric{T<:Complex,S}(A::Hermitian{T,S}) = all(imag(A.data) .== 0)
+issymmetric(A::Symmetric) = true
 transpose(A::Symmetric) = A
 ctranspose{T<:Real}(A::Symmetric{T}) = A
 function ctranspose(A::Symmetric)
@@ -138,15 +138,15 @@ A_mul_B!{T<:BlasComplex,S<:StridedMatrix}(C::StridedMatrix{T}, A::StridedMatrix{
 *(A::HermOrSym, B::HermOrSym) = full(A)*full(B)
 *(A::StridedMatrix, B::HermOrSym) = A*full(B)
 
-bkfact(A::HermOrSym) = bkfact(A.data, symbol(A.uplo), issym(A))
+bkfact(A::HermOrSym) = bkfact(A.data, symbol(A.uplo), issymmetric(A))
 factorize(A::HermOrSym) = bkfact(A)
 
 # Is just RealHermSymComplexHerm, but type alias seems to be broken
 det{T<:Real,S}(A::Union{Hermitian{T,S}, Symmetric{T,S}, Hermitian{Complex{T},S}}) = real(det(bkfact(A)))
 det{T<:Real}(A::Symmetric{T}) = det(bkfact(A))
 det(A::Symmetric) = det(bkfact(A))
 
-\{T,S<:StridedMatrix}(A::HermOrSym{T,S}, B::StridedVecOrMat) = \(bkfact(A.data, symbol(A.uplo), issym(A)), B)
+\{T,S<:StridedMatrix}(A::HermOrSym{T,S}, B::StridedVecOrMat) = \(bkfact(A.data, symbol(A.uplo), issymmetric(A)), B)
 
 inv{T<:BlasFloat,S<:StridedMatrix}(A::Hermitian{T,S}) = Hermitian{T,S}(inv(bkfact(A.data, symbol(A.uplo))), A.uplo)
 inv{T<:BlasFloat,S<:StridedMatrix}(A::Symmetric{T,S}) = Symmetric{T,S}(inv(bkfact(A.data, symbol(A.uplo), true)), A.uplo)

base/sparse.jl

@@ -13,10 +13,10 @@ import Base.LinAlg: At_ldiv_B!, Ac_ldiv_B!
 import Base: @get!, acos, acosd, acot, acotd, acsch, asech, asin, asind, asinh,
     atan, atand, atanh, broadcast!, chol, conj!, cos, cosc, cosd, cosh, cospi, cot,
     cotd, coth, countnz, csc, cscd, csch, ctranspose!, diag, diff, done, dot, eig,
-    exp10, exp2, eye, findn, floor, hash, indmin, inv, issym, istril, istriu, log10,
-    log2, lu, maxabs, minabs, next, sec, secd, sech, show, showarray, sin, sinc,
-    sind, sinh, sinpi, squeeze, start, sum, sumabs, sumabs2, summary, tan, tand,
-    tanh, trace, transpose!, tril!, triu!, trunc, vecnorm, writemime, abs, abs2,
+    exp10, exp2, eye, findn, floor, hash, indmin, inv, issymmetric, istril, istriu,
+    log10, log2, lu, maxabs, minabs, next, sec, secd, sech, show, showarray, sin,
+    sinc, sind, sinh, sinpi, squeeze, start, sum, sumabs, sumabs2, summary, tan,
+    tand, tanh, trace, transpose!, tril!, triu!, trunc, vecnorm, writemime, abs, abs2,
     broadcast, ceil, complex, cond, conj, convert, copy, copy!, ctranspose, diagm,
     exp, expm1, factorize, find, findmax, findmin, findnz, float, full, getindex,
     hcat, hvcat, imag, indmax, ishermitian, kron, length, log, log1p, max, min,

base/sparse/cholmod.jl

@@ -7,7 +7,7 @@ import Base: (*), convert, copy, eltype, get, getindex, show, showarray, size,
 
 import Base.LinAlg: (\), A_mul_Bc, A_mul_Bt, Ac_ldiv_B, Ac_mul_B, At_ldiv_B, At_mul_B,
                  cholfact, cholfact!, det, diag, ishermitian, isposdef,
-                 issym, ldltfact, ldltfact!, logdet
+                 issymmetric, ldltfact, ldltfact!, logdet
 
 importall ..SparseArrays
 
@@ -986,7 +986,7 @@ function convert{Tv}(::Type{SparseMatrixCSC{Tv,SuiteSparse_long}}, A::Sparse{Tv}
 end
 function convert(::Type{Symmetric{Float64,SparseMatrixCSC{Float64,SuiteSparse_long}}}, A::Sparse{Float64})
     s = unsafe_load(A.p)
-    if !issym(A)
+    if !issymmetric(A)
         throw(ArgumentError("matrix is not symmetric"))
     end
     return Symmetric(SparseMatrixCSC(s.nrow, s.ncol, increment(pointer_to_array(s.p, (s.ncol + 1,), false)), increment(pointer_to_array(s.i, (s.nzmax,), false)), copy(pointer_to_array(s.x, (s.nzmax,), false))), s.stype > 0 ? :U : :L)
@@ -1536,7 +1536,7 @@ function isposdef{Tv<:VTypes}(A::SparseMatrixCSC{Tv,SuiteSparse_long})
     true
 end
 
-function issym(A::Sparse)
+function issymmetric(A::Sparse)
     s = unsafe_load(A.p)
     if s.stype != 0
         return isreal(A)

base/sparse/sparsematrix.jl

@@ -2911,7 +2911,7 @@ function blkdiag(X::SparseMatrixCSC...)
 end
 
 ## Structure query functions
-issym(A::SparseMatrixCSC) = is_hermsym(A, IdFun())
+issymmetric(A::SparseMatrixCSC) = is_hermsym(A, IdFun())
 
 ishermitian(A::SparseMatrixCSC) = is_hermsym(A, ConjFun())
 

doc/stdlib/linalg.rst

@@ -423,7 +423,7 @@ Linear algebra functions in Julia are largely implemented by calling functions f
 
    .. Docstring generated from Julia source
 
-   Compute the Bunch-Kaufman [Bunch1977]_ factorization of a real symmetric or complex Hermitian matrix ``A`` and return a ``BunchKaufman`` object. The following functions are available for ``BunchKaufman`` objects: ``size``\ , ``\``\ , ``inv``\ , ``issym``\ , ``ishermitian``\ .
+   Compute the Bunch-Kaufman [Bunch1977]_ factorization of a real symmetric or complex Hermitian matrix ``A`` and return a ``BunchKaufman`` object. The following functions are available for ``BunchKaufman`` objects: ``size``\ , ``\``\ , ``inv``\ , ``issymmetric``\ , ``ishermitian``\ .
 
    .. [Bunch1977] J R Bunch and L Kaufman, Some stable methods for calculating inertia and solving symmetric linear systems, Mathematics of Computation 31:137 (1977), 163-179. `url <http://www.ams.org/journals/mcom/1977-31-137/S0025-5718-1977-0428694-0>`_\ .
 
@@ -1093,7 +1093,7 @@ Linear algebra functions in Julia are largely implemented by calling functions f
 
    Computes the solution ``X`` to the Sylvester equation ``AX + XB + C = 0``\ , where ``A``\ , ``B`` and ``C`` have compatible dimensions and ``A`` and ``-B`` have no eigenvalues with equal real part.
 
-.. function:: issym(A) -> Bool
+.. function:: issymmetric(A) -> Bool
 
    .. Docstring generated from Julia source
 

test/arrayops.jl

@@ -964,7 +964,7 @@ end
 
 # Handle block matrices
 A = [randn(2,2) for i = 1:2, j = 1:2]
-@test issym(A.'A)
+@test issymmetric(A.'A)
 A = [complex(randn(2,2), randn(2,2)) for i = 1:2, j = 1:2]
 @test ishermitian(A'A)
 

test/bitarray.jl

@@ -1201,7 +1201,7 @@ b1 = triu(bitrand(n2, n1))
 
 b1 = bitrand(n1,n1)
 b1 |= b1.'
-@check_bit_operation issym(b1) Bool
+@check_bit_operation issymmetric(b1) Bool
 @check_bit_operation ishermitian(b1) Bool
 
 b1 = bitrand(n1)

test/blas.jl

@@ -132,7 +132,7 @@ for elty in [Float32, Float64, Complex64, Complex128]
 
         A = rand(elty,n,n)
         A = A + A.'
-        @test issym(A)
+        @test issymmetric(A)
         @test_approx_eq triu(BLAS.syr!('U',α,x,copy(A))) triu(A + α*x*x.')
         @test_throws DimensionMismatch BLAS.syr!('U',α,ones(elty,n+1),copy(A))
 

test/linalg/arnoldi.jl

@@ -102,13 +102,13 @@ let A6965 = [
 end
 
 # Example from Quantum Information Theory
-import Base: size, issym, ishermitian
+import Base: size, issymmetric, ishermitian
 
 type CPM{T<:Base.LinAlg.BlasFloat}<:AbstractMatrix{T} # completely positive map
     kraus::Array{T,3} # kraus operator representation
 end
 size(Phi::CPM)=(size(Phi.kraus,1)^2,size(Phi.kraus,3)^2)
-issym(Phi::CPM)=false
+issymmetric(Phi::CPM)=false
 ishermitian(Phi::CPM)=false
 import Base: *
 function *{T<:Base.LinAlg.BlasFloat}(Phi::CPM{T},rho::Vector{T})

test/linalg/bunchkaufman.jl

@@ -49,10 +49,10 @@ debug && println("(Automatic) Bunch-Kaufman factor of indefinite matrix")
         end
 debug && println("Bunch-Kaufman factors of a pos-def matrix")
         for rook in (false, true)
-            bc2 = bkfact(apd, :U, issym(apd), rook)
+            bc2 = bkfact(apd, :U, issymmetric(apd), rook)
             @test_approx_eq inv(bc2) * apd eye(n)
             @test_approx_eq_eps apd * (bc2\b) b 150000ε
-            @test ishermitian(bc2) == !issym(bc2)
+            @test ishermitian(bc2) == !issymmetric(bc2)
         end
 
     end

test/linalg/diagonal.jl

@@ -168,12 +168,12 @@ for relty in (Float32, Float64, BigFloat), elty in (relty, Complex{relty})
             @test isa(similar(D, Int, (3,2)), Matrix{Int})
 
             #10036
-            @test issym(D2)
+            @test issymmetric(D2)
             @test ishermitian(D2)
             if elty <: Complex
                 dc = d + im*convert(Vector{elty}, ones(n))
                 D3 = Diagonal(dc)
-                @test issym(D3)
+                @test issymmetric(D3)
                 @test !ishermitian(D3)
             end