Update for Julia 1.5

Project.toml

@@ -0,0 +1,16 @@
+name = "MatrixChainMultiply"
+uuid = "f01a5c79-138a-571d-9c23-7d209c0b0a14"
+authors = ["Austin Privett"]
+version = "0.1.0"
+
+[deps]
+
+[compat]
+julia = "1.0"
+
+[extras]
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[targets]
+test = ["LinearAlgebra", "Test"]

README.md

@@ -17,7 +17,7 @@ For example, the types given in the [ArrayFire.jl](https://github.com/JuliaCompu
 Since this package is not registered, you must install it by cloning. To add this package, use:
 
 ```julia
-Pkg.clone("https://github.com/AustinPrivett/MatrixChainMultiply.jl")
+Pkg.add(url="https://github.com/AustinPrivett/MatrixChainMultiply.jl")
 ```
 
 ## Using this Package

src/MatrixChainMultiply.jl

@@ -160,9 +160,9 @@ Matrix-style sizes. Return type looks like `(i,j)` where `i` and `j` are `Ints`.
 If other packages with matrix types (e.g., OpenCl or ArrayFire) inherit from
 AbstractArray, there shouldn't be issues with other packages using this one.
 """
-msize{T}(m::AbstractArray{T,2}) = size(m)
-msize{T}(v::AbstractArray{T,1}) = (size(v)[1], 1)
-msize{T<:Number}(s::T) = (1, 1)
+msize(m::AbstractMatrix) = size(m)
+msize(v::AbstractVector) = (size(v,1), 1)
+msize(s::Number) = (1, 1)
 
 
 end # module

test/runtests.jl

@@ -1,5 +1,5 @@
 using MatrixChainMultiply
-using Base.Test
+using Test, LinearAlgebra
 
 # case on readme
 function readme_example(use_arrayfire=false)
@@ -19,8 +19,12 @@ function readme_example(use_arrayfire=false)
   difference = result1 - result2
 
   # do again to get timings
-  tic(); *(a,b,c,d); stdtime = toc()
-  tic(); matrixchainmultiply(a,b,c,d); chaintime = toc()
+  t1 = time()
+  *(a,b,c,d);
+  stdtime = time() - t1
+  t2 = time()
+  matrixchainmultiply(a,b,c,d);
+  chaintime = time() - t2
   speedup = stdtime / chaintime
   print("Speedup = $speedup")