eye see deprecated methods

NEWS.md

@@ -398,6 +398,9 @@ Deprecated or removed
   * `fill!(A::Diagonal, x)` and `fill!(A::AbstractTriangular, x)` have been deprecated
     in favor of `Base.LinAlg.fillslots!(A, x)` ([#24413]).
 
+  * `eye` has been deprecated in favor of `I` and `Matrix` constructors. Please see the
+    deprecation warnings for replacement details ([#24438]).
+
   * Using Bool values directly as indices is now deprecated and will be an error in the future. Convert
     them to `Int` before indexing if you intend to access index `1` for `true` and `0` for `false`.
 

base/array.jl

@@ -432,95 +432,10 @@ for (fname, felt) in ((:zeros, :zero), (:ones, :one))
     end
 end
 
-"""
-    eye([T::Type=Float64,] m::Integer, n::Integer)
-
-`m`-by-`n` identity matrix.
-The default element type is [`Float64`](@ref).
-
-# Examples
-```jldoctest
-julia> eye(3, 4)
-3×4 Array{Float64,2}:
- 1.0  0.0  0.0  0.0
- 0.0  1.0  0.0  0.0
- 0.0  0.0  1.0  0.0
-
-julia> eye(2, 2)
-2×2 Array{Float64,2}:
- 1.0  0.0
- 0.0  1.0
-
-julia> eye(Int, 2, 2)
-2×2 Array{Int64,2}:
- 1  0
- 0  1
-```
-"""
-function eye(::Type{T}, m::Integer, n::Integer) where T
-    a = zeros(T,m,n)
-    for i = 1:min(m,n)
-        a[i,i] = oneunit(T)
-    end
-    return a
-end
-
-"""
-    eye(m, n)
-
-`m`-by-`n` identity matrix.
-"""
-eye(m::Integer, n::Integer) = eye(Float64, m, n)
-eye(::Type{T}, n::Integer) where {T} = eye(T, n, n)
-"""
-    eye([T::Type=Float64,] n::Integer)
-
-`n`-by-`n` identity matrix.
-The default element type is [`Float64`](@ref).
-
-# Examples
-```jldoctest
-julia> eye(Int, 2)
-2×2 Array{Int64,2}:
- 1  0
- 0  1
-
-julia> eye(2)
-2×2 Array{Float64,2}:
- 1.0  0.0
- 0.0  1.0
-```
-"""
-eye(n::Integer) = eye(Float64, n)
-
-"""
-    eye(A)
-
-Constructs an identity matrix of the same dimensions and type as `A`.
-
-# Examples
-```jldoctest
-julia> A = [1 2 3; 4 5 6; 7 8 9]
-3×3 Array{Int64,2}:
- 1  2  3
- 4  5  6
- 7  8  9
-
-julia> eye(A)
-3×3 Array{Int64,2}:
- 1  0  0
- 0  1  0
- 0  0  1
-```
-
-Note the difference from [`ones`](@ref).
-"""
-eye(x::AbstractMatrix{T}) where {T} = eye(typeof(one(T)), size(x, 1), size(x, 2))
-
 function _one(unit::T, x::AbstractMatrix) where T
     m,n = size(x)
     m==n || throw(DimensionMismatch("multiplicative identity defined only for square matrices"))
-    eye(T, m)
+    Matrix{T}(I, m, m)
 end
 
 one(x::AbstractMatrix{T}) where {T} = _one(one(T), x)

base/deprecated.jl

@@ -1792,7 +1792,53 @@ end
     @deprecate get_creds!(cache::CachedCredentials, credid, default) get!(cache, credid, default)
 end
 
-@deprecate eye(::Type{Diagonal{T}}, n::Int) where {T} Diagonal{T}(I, n)
+## goodbeye, eye!
+export eye
+function eye(m::Integer)
+    depwarn(string("`eye(m::Integer)` has been deprecated in favor of `I` and `Matrix` ",
+        "constructors. For a direct replacement, consider `Matrix(1.0I, m, m)` or ",
+        "`Matrix{Float64}(I, m, m)`. If `Float64` element type is not necessary, ",
+        "consider the shorter `Matrix(I, m, m)` (with default `eltype(I)` `Bool`)."), :eye)
+    return Matrix{Float64}(I, m, m)
+end
+function eye(::Type{T}, m::Integer) where T
+    depwarn(string("`eye(T::Type, m::Integer)` has been deprecated in favor of `I` and ",
+        "`Matrix` constructors. For a direct replacement, consider `Matrix{T}(I, m, m)`. If ",
+        "`T` element type is not necessary, consider the shorter `Matrix(I, m, m)`",
+        "(with default `eltype(I)` `Bool`)"), :eye)
+    return Matrix{T}(I, m, m)
+end
+function eye(m::Integer, n::Integer)
+    depwarn(string("`eye(m::Integer, n::Integer)` has been deprecated in favor of `I` and ",
+        "`Matrix` constructors. For a direct replacement, consider `Matrix(1.0I, m, n)` ",
+        "or `Matrix{Float64}(I, m, n)`. If `Float64` element type is not necessary, ",
+        "consider the shorter `Matrix(I, m, n)` (with default `eltype(I)` `Bool`)."), :eye)
+    return Matrix{Float64}(I, m, n)
+end
+function eye(::Type{T}, m::Integer, n::Integer) where T
+    depwarn(string("`eye(T::Type, m::Integer, n::Integer)` has been deprecated in favor of ",
+        "`I` and `Matrix` constructors. For a direct replacement, consider `Matrix{T}(I, m, n)`.",
+        "If `T` element type is not necessary, consider the shorter `Matrix(I, m, n)` ",
+        "(with default `eltype(I)` `Bool`)."), :eye)
+    return Matrix{T}(I, m, n)
+end
+function eye(A::AbstractMatrix{T}) where T
+    depwarn(string("`eye(A::AbstractMatrix{T})` has been deprecated in favor of `I` and ",
+        "`Matrix` constructors. For a direct replacement, consider `Matrix{eltype(A)}(I, size(A))`.",
+        "If `eltype(A)` element type is not necessary, consider the shorter `Matrix(I, size(A))` ",
+        "(with default `eltype(I)` `Bool`)."), :eye)
+    return Matrix(one(T)I, size(A))
+end
+function eye(::Type{Diagonal{T}}, n::Int) where T
+    depwarn(string("`eye(DT::Type{Diagonal{T}}, n::Int)` has been deprecated in favor of `I` ",
+        "and `Diagonal` constructors. For a direct replacement, consider `Diagonal{T}(I, n)`. ",
+        "If `T` element type is not necessary, consider the shorter `Diagonal(I, n)` ",
+        "(with default `eltype(I)` `Bool`)."), :eye)
+    return Diagonal{T}(I, n)
+end
+@eval Base.LinAlg import Base.eye
+# @eval Base.SparseArrays import Base.eye # SparseArrays has an eye for things cholmod
+
 
 export tic, toq, toc
 function tic()
@@ -1986,8 +2032,8 @@ function full(Q::LinAlg.LQPackedQ; thin::Bool = true)
         "`full(Q::LQPackedQ; thin::Bool = true)` (and `full` in general) ",
         "has been deprecated. To replace `full(Q::LQPackedQ, true)`, ",
         "consider `Matrix(Q)` or `Array(Q)`. To replace `full(Q::LQPackedQ, false)`, ",
-        "consider `Base.LinAlg.A_mul_B!(Q, eye(eltype(Q), size(Q.factors, 2)))`."), :full)
-    return thin ? Array(Q) : A_mul_B!(Q, eye(eltype(Q), size(Q.factors, 2)))
+        "consider `Base.LinAlg.A_mul_B!(Q, Matrix{eltype(Q)}(I, size(Q.factors, 2), size(Q.factors, 2)))`."), :full)
+    return thin ? Array(Q) : A_mul_B!(Q, Matrix{eltype(Q)}(I, size(Q.factors, 2), size(Q.factors, 2)))
 end
 function full(Q::Union{LinAlg.QRPackedQ,LinAlg.QRCompactWYQ}; thin::Bool = true)
     qtypestr = isa(Q, LinAlg.QRPackedQ)    ? "QRPackedQ"    :
@@ -1997,8 +2043,8 @@ function full(Q::Union{LinAlg.QRPackedQ,LinAlg.QRCompactWYQ}; thin::Bool = true)
         "`full(Q::$(qtypestr); thin::Bool = true)` (and `full` in general) ",
         "has been deprecated. To replace `full(Q::$(qtypestr), true)`, ",
         "consider `Matrix(Q)` or `Array(Q)`. To replace `full(Q::$(qtypestr), false)`, ",
-        "consider `Base.LinAlg.A_mul_B!(Q, eye(eltype(Q), size(Q.factors, 1)))`."), :full)
-    return thin ? Array(Q) : A_mul_B!(Q, eye(eltype(Q), size(Q.factors, 1)))
+        "consider `Base.LinAlg.A_mul_B!(Q, Matrix{eltype(Q)}(I, size(Q.factors, 1), size(Q.factors, 1)))`."), :full)
+    return thin ? Array(Q) : A_mul_B!(Q, Matrix{eltype(Q)}(I, size(Q.factors, 1), size(Q.factors, 1)))
 end
 
 # full for symmetric / hermitian / triangular wrappers

base/exports.jl

@@ -560,7 +560,6 @@ export
     eigvals,
     eigvals!,
     eigvecs,
-    eye,
     factorize,
     givens,
     hessfact!,

base/linalg/bunchkaufman.jl

@@ -151,7 +151,7 @@ function getindex(B::BunchKaufman{T}, d::Symbol) where {T<:BlasFloat}
     if d == :p
         return _ipiv2perm_bk(B.ipiv, n, B.uplo)
     elseif d == :P
-        return eye(T, n)[:,invperm(B[:p])]
+        return Matrix{T}(I, n, n)[:,invperm(B[:p])]
     elseif d == :L || d == :U || d == :D
         if B.rook
             LUD, od = LAPACK.syconvf_rook!(B.uplo, 'C', copy(B.LD), B.ipiv)

base/linalg/dense.jl

@@ -485,7 +485,7 @@ used, otherwise the scaling and squaring algorithm (see [^H05]) is chosen.
 
 # Examples
 ```jldoctest
-julia> A = eye(2, 2)
+julia> A = Matrix(1.0I, 2, 2)
 2×2 Array{Float64,2}:
  1.0  0.0
  0.0  1.0
@@ -508,7 +508,7 @@ function exp!(A::StridedMatrix{T}) where T<:BlasFloat
     end
     ilo, ihi, scale = LAPACK.gebal!('B', A)    # modifies A
     nA   = norm(A, 1)
-    I    = eye(T,n)
+    Inn    = Matrix{T}(I, n, n)
     ## For sufficiently small nA, use lower order Padé-Approximations
     if (nA <= 2.1)
         if nA > 0.95
@@ -525,7 +525,7 @@ function exp!(A::StridedMatrix{T}) where T<:BlasFloat
             C = T[120.,60.,12.,1.]
         end
         A2 = A * A
-        P  = copy(I)
+        P  = copy(Inn)
         U  = C[2] * P
         V  = C[1] * P
         for k in 1:(div(size(C, 1), 2) - 1)
@@ -552,9 +552,9 @@ function exp!(A::StridedMatrix{T}) where T<:BlasFloat
         A4 = A2 * A2
         A6 = A2 * A4
         U  = A * (A6 * (CC[14]*A6 + CC[12]*A4 + CC[10]*A2) +
-                  CC[8]*A6 + CC[6]*A4 + CC[4]*A2 + CC[2]*I)
+                  CC[8]*A6 + CC[6]*A4 + CC[4]*A2 + CC[2]*Inn)
         V  = A6 * (CC[13]*A6 + CC[11]*A4 + CC[9]*A2) +
-                   CC[7]*A6 + CC[5]*A4 + CC[3]*A2 + CC[1]*I
+                   CC[7]*A6 + CC[5]*A4 + CC[3]*A2 + CC[1]*Inn
 
         X = V + U
         LAPACK.gesv!(V-U, X)
@@ -614,7 +614,7 @@ triangular factor.
 
 # Examples
 ```jldoctest
-julia> A = 2.7182818 * eye(2)
+julia> A = Matrix(2.7182818*I, 2, 2)
 2×2 Array{Float64,2}:
  2.71828  0.0
  0.0      2.71828
@@ -1331,7 +1331,7 @@ julia> nullspace(M)
 """
 function nullspace(A::StridedMatrix{T}) where T
     m, n = size(A)
-    (m == 0 || n == 0) && return eye(T, n)
+    (m == 0 || n == 0) && return Matrix{T}(I, n, n)
     SVD = svdfact(A, full = true)
     indstart = sum(SVD.S .> max(m,n)*maximum(SVD.S)*eps(eltype(SVD.S))) + 1
     return SVD.Vt[indstart:end,:]'

base/linalg/diagonal.jl

@@ -412,7 +412,7 @@ end
 #Eigensystem
 eigvals(D::Diagonal{<:Number}) = D.diag
 eigvals(D::Diagonal) = [eigvals(x) for x in D.diag] #For block matrices, etc.
-eigvecs(D::Diagonal) = eye(D)
+eigvecs(D::Diagonal) = Matrix{eltype(D)}(I, size(D))
 eigfact(D::Diagonal) = Eigen(eigvals(D), eigvecs(D))
 
 #Singular system

base/linalg/factorization.jl

@@ -47,7 +47,7 @@ end
 
 ### General promotion rules
 convert(::Type{Factorization{T}}, F::Factorization{T}) where {T} = F
-inv(F::Factorization{T}) where {T} = A_ldiv_B!(F, eye(T, size(F,1)))
+inv(F::Factorization{T}) where {T} = (n = size(F, 1); A_ldiv_B!(F, Matrix{T}(I, n, n)))
 
 Base.hash(F::Factorization, h::UInt) = mapreduce(f -> hash(getfield(F, f)), hash, h, 1:nfields(F))
 Base.:(==)(  F::T, G::T) where {T<:Factorization} = all(f -> getfield(F, f) == getfield(G, f), 1:nfields(F))

base/linalg/generic.jl

@@ -736,7 +736,7 @@ of the [`eltype`](@ref) of `A`.
 
 # Examples
 ```jldoctest
-julia> rank(eye(3))
+julia> rank(Matrix(I, 3, 3))
 3
 
 julia> rank(diagm(0 => [1, 0, 2]))
@@ -802,14 +802,16 @@ julia> N = inv(M)
   3.0  -5.0
  -1.0   2.0
 
-julia> M*N == N*M == eye(2)
+julia> M*N == N*M == Matrix(I, 2, 2)
 true
 ```
 """
 function inv(A::AbstractMatrix{T}) where T
+    n = checksquare(A)
     S = typeof(zero(T)/one(T))      # dimensionful
     S0 = typeof(zero(T)/oneunit(T)) # dimensionless
-    A_ldiv_B!(factorize(convert(AbstractMatrix{S}, A)), eye(S0, checksquare(A)))
+    dest = Matrix{S0}(I, n, n)
+    A_ldiv_B!(factorize(convert(AbstractMatrix{S}, A)), dest)
 end
 
 function pinv(v::AbstractVector{T}, tol::Real=real(zero(T))) where T
@@ -1347,7 +1349,7 @@ julia> M = [1 0; 2 2]
 julia> logdet(M)
 0.6931471805599453
 
-julia> logdet(eye(3))
+julia> logdet(Matrix(I, 3, 3))
 0.0
 ```
 """

base/linalg/linalg.jl

@@ -12,7 +12,7 @@ import Base: A_mul_Bt, At_ldiv_Bt, A_rdiv_Bc, At_ldiv_B, Ac_mul_Bc, A_mul_Bc, Ac
     Ac_ldiv_B, Ac_ldiv_Bc, At_mul_Bt, A_rdiv_Bt, At_mul_B
 import Base: USE_BLAS64, abs, acos, acosh, acot, acoth, acsc, acsch, adjoint, asec, asech, asin,
     asinh, atan, atanh, big, broadcast, ceil, conj, convert, copy, copy!, cos, cosh, cot, coth, csc,
-    csch, eltype, exp, eye, findmax, findmin, fill!, floor, getindex, hcat, imag, indices,
+    csch, eltype, exp, findmax, findmin, fill!, floor, getindex, hcat, imag, indices,
     inv, isapprox, isone, IndexStyle, kron, length, log, map, ndims, oneunit, parent,
     power_by_squaring, print_matrix, promote_rule, real, round, sec, sech, setindex!, show, similar,
     sin, sincos, sinh, size, sqrt, tan, tanh, transpose, trunc, typed_hcat, vec
@@ -87,7 +87,6 @@ export
     eigvals,
     eigvals!,
     eigvecs,
-    eye,
     factorize,
     givens,
     hessfact,

base/linalg/lq.jl

@@ -57,7 +57,7 @@ function lq(A::Union{Number,AbstractMatrix}; full::Bool = false, thin::Union{Boo
     end
     F = lqfact(A)
     L, Q = F[:L], F[:Q]
-    return L, !full ? Array(Q) : A_mul_B!(Q, eye(eltype(Q), size(Q.factors, 2)))
+    return L, !full ? Array(Q) : A_mul_B!(Q, Matrix{eltype(Q)}(I, size(Q.factors, 2), size(Q.factors, 2)))
 end
 
 copy(A::LQ) = LQ(copy(A.factors), copy(A.τ))

base/linalg/lu.jl

@@ -224,7 +224,7 @@ function getindex(F::LU{T,<:StridedMatrix}, d::Symbol) where T
     elseif d == :p
         return ipiv2perm(F.ipiv, m)
     elseif d == :P
-        return eye(T, m)[:,invperm(F[:p])]
+        return Matrix{T}(I, m, m)[:,invperm(F[:p])]
     else
         throw(KeyError(d))
     end
@@ -337,7 +337,7 @@ end
 inv!(A::LU{<:BlasFloat,<:StridedMatrix}) =
     @assertnonsingular LAPACK.getri!(A.factors, A.ipiv) A.info
 inv!(A::LU{T,<:StridedMatrix}) where {T} =
-    @assertnonsingular A_ldiv_B!(A.factors, copy(A), eye(T, size(A, 1))) A.info
+    @assertnonsingular A_ldiv_B!(A.factors, copy(A), Matrix{T}(I, size(A, 1), size(A, 1))) A.info
 inv(A::LU{<:BlasFloat,<:StridedMatrix}) = inv!(copy(A))
 
 function _cond1Inf(A::LU{<:BlasFloat,<:StridedMatrix}, p::Number, normA::Real)
@@ -437,7 +437,7 @@ function getindex(F::LU{T,Tridiagonal{T,V}}, d::Symbol) where {T,V}
     elseif d == :p
         return ipiv2perm(F.ipiv, m)
     elseif d == :P
-        return eye(T, m)[:,invperm(F[:p])]
+        return Matrix{T}(I, m, m)[:,invperm(F[:p])]
     end
     throw(KeyError(d))
 end