[pull] master from JuliaInterop:master

.github/dependabot.yml

@@ -0,0 +1,7 @@
+# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
+version: 2
+updates:
+  - package-ecosystem: "github-actions"
+    directory: "/" # Location of package manifests
+    schedule:
+      interval: "monthly"

.github/workflows/CI.yml

@@ -24,7 +24,7 @@ jobs:
         arch:
           - x64
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
       - uses: julia-actions/setup-julia@latest
         with:
           version: ${{ matrix.version }}

.github/workflows/TagBot.yml

@@ -4,6 +4,22 @@ on:
     types:
       - created
   workflow_dispatch:
+    inputs:
+      lookback:
+        default: 3
+permissions:
+  actions: read
+  checks: read
+  contents: write
+  deployments: read
+  issues: read
+  discussions: read
+  packages: read
+  pages: read
+  pull-requests: read
+  repository-projects: read
+  security-events: read
+  statuses: read
 jobs:
   TagBot:
     if: github.event_name == 'workflow_dispatch' || github.actor == 'JuliaTagBot'
@@ -12,3 +28,6 @@ jobs:
       - uses: JuliaRegistries/TagBot@v1
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
+          # Edit the following line to reflect the actual name of the GitHub Secret containing your private key
+          ssh: ${{ secrets.DOCUMENTER_KEY }}
+          # ssh: ${{ secrets.NAME_OF_MY_SSH_PRIVATE_KEY_SECRET }}

README.md

@@ -1,6 +1,6 @@
 ## MATLAB
 
-| ❗ Windows and MacOS platforms : MATLAB versions R2022 and R2023 do not work with `MATLAB.jl` ❗ <br/> You can use older versions as explained [further down](https://github.com/JuliaInterop/MATLAB.jl#changing-matlab-version). |
+| ❗ If you get a 'Segmentation fault' error when calling MATLAB with version R2022 or newer, try using an [older version](https://github.com/JuliaInterop/MATLAB.jl#changing-matlab-version) of MATLAB. ❗ |
 |:----:|
 
 The `MATLAB.jl` package provides an interface for using [MATLAB®](http://www.mathworks.com/products/matlab/) from [Julia](http://julialang.org) using the MATLAB C api.  In other words, this package allows users to call MATLAB functions within Julia, thus making it easy to interoperate with MATLAB from the Julia language.

src/mxarray.jl

@@ -289,7 +289,7 @@ function mxarray(a::AbstractArray{T}) where {T<:MxRealNum}
     return mx
 end
 
-function mxarray(a::AbstractArray{T}) where {T<:MxComplexNum}
+function mxarray(a::AbstractArray{T}) where {T <: MxComplexNum}
     mx = mxarray(T, size(a))
     na = length(a)
     rdat = unsafe_wrap(Array, real_ptr(mx), na)
@@ -302,6 +302,36 @@ function mxarray(a::AbstractArray{T}) where {T<:MxComplexNum}
 end
 
 
+function mxarray(a::NTuple{N, T}) where {N, T <: MxRealNum}
+    mx = mxarray(T, N)
+    pdat = ccall(mx_get_data[], Ptr{T}, (Ptr{Cvoid},), mx)
+    dat = unsafe_wrap(Array, pdat, N)
+    for i in 1:N
+        dat[i] = a[i]
+    end
+    return mx
+end
+
+function mxarray(a::NTuple{N, T}) where {N, T <: MxComplexNum}
+    mx = mxarray(T, size(a))
+    na = length(a)
+    rdat = unsafe_wrap(Array, real_ptr(mx), na)
+    idat = unsafe_wrap(Array, imag_ptr(mx), na)
+    for (i, ix) in enumerate(eachindex(a))
+        rdat[i] = real(a[ix])
+        idat[i] = imag(a[ix])
+    end
+    return mx
+end
+
+function mxarray(a::Tuple)
+    mx = mxcellarray(length(a))
+    for i in 1:length(a)
+        set_cell(mx, i, mxarray(a[i]))
+    end
+    return mx
+end
+
 # sparse matrix
 
 function mxsparse(ty::Type{Float64}, m::Integer, n::Integer, nzmax::Integer)

test/mxarray.jl

@@ -405,6 +405,28 @@ delete(x)
 @test isa(y, Array{Bool,3})
 @test isequal(y, a)
 
+# Issue: Tuples converted to MATLAB structs
+# https://github.com/JuliaInterop/MATLAB.jl/issues/178
+a = (2.5, 2.6)
+x = mxarray(a)
+y = jvalue(x)
+@test classid(x) == MATLAB.mxDOUBLE_CLASS
+@test nrows(x) == 2
+@test ncols(x) == 1
+delete(x)
+@test isa(y, Vector{Float64})
+@test isequal(y, collect(a))
+
+# Tuple with mixed types
+a = (1, 2.0, "MATLAB", [1, 2, 3])
+x = mxarray(a)
+y = jvalue(x)
+@test nrows(x) == 4
+@test ncols(x) == 1
+@test classid(x) == MATLAB.mxCELL_CLASS
+@test isa(y, Vector{Any})
+@test length(y) == length(a)
+@test isequal(y, collect(a))
 
 
 ##############################