Automatic JuliaFormatter.jl run

Project.toml

@@ -1,7 +1,7 @@
 name = "BlockSparseArrays"
 uuid = "2c9a651f-6452-4ace-a6ac-809f4280fbb4"
 authors = ["ITensor developers <[email protected]> and contributors"]
-version = "0.4.3"
+version = "0.4.4"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"

docs/make.jl

@@ -2,13 +2,10 @@ using BlockSparseArrays: BlockSparseArrays
 using Documenter: Documenter, DocMeta, deploydocs, makedocs
 
 DocMeta.setdocmeta!(
-  BlockSparseArrays,
-  :DocTestSetup,
-  quote
+  BlockSparseArrays, :DocTestSetup, quote
     using BlockSparseArrays
     using LinearAlgebra: Diagonal
-  end;
-  recursive=true,
+  end; recursive=true
 )
 
 include("make_index.jl")

src/blocksparsearrayinterface/blocksparsearrayinterface.jl

@@ -97,8 +97,9 @@ end
 
 struct BlockSparseArrayInterface <: AbstractBlockSparseArrayInterface end
 
-@interface ::AbstractBlockSparseArrayInterface BlockArrays.blocks(a::AbstractArray) =
-  error("Not implemented")
+@interface ::AbstractBlockSparseArrayInterface BlockArrays.blocks(a::AbstractArray) = error(
+  "Not implemented"
+)
 
 @interface ::AbstractBlockSparseArrayInterface function SparseArraysBase.isstored(
   a::AbstractArray{<:Any,N}, I::Vararg{Int,N}
@@ -336,10 +337,12 @@ end
 reverse_index(index) = reverse(index)
 reverse_index(index::CartesianIndex) = CartesianIndex(reverse(Tuple(index)))
 
-@interface ::AbstractBlockSparseArrayInterface BlockArrays.blocks(a::Transpose) =
-  transpose(blocks(parent(a)))
-@interface ::AbstractBlockSparseArrayInterface BlockArrays.blocks(a::Adjoint) =
-  adjoint(blocks(parent(a)))
+@interface ::AbstractBlockSparseArrayInterface BlockArrays.blocks(a::Transpose) = transpose(
+  blocks(parent(a))
+)
+@interface ::AbstractBlockSparseArrayInterface BlockArrays.blocks(a::Adjoint) = adjoint(
+  blocks(parent(a))
+)
 
 # Represents the array of arrays of a `SubArray`
 # wrapping a block spare array, i.e. `blocks(array)` where `a` is a `SubArray`.

src/factorizations/svd.jl

@@ -197,8 +197,9 @@ julia> Uonly == U
 true
 ```
 """
-svd(A; kwargs...) =
+function svd(A; kwargs...)
   SVD(svd!(eigencopy_oftype(A, LinearAlgebra.eigtype(eltype(A))); kwargs...))
+end
 
 LinearAlgebra.svdvals(usv::SVD{<:Any,T}) where {T} = (usv.S)::AbstractVector{T}
 

test/runtests.jl

@@ -14,11 +14,13 @@ const GROUP = uppercase(
 )
 
 "match files of the form `test_*.jl`, but exclude `*setup*.jl`"
-istestfile(fn) =
+function istestfile(fn)
   endswith(fn, ".jl") && startswith(basename(fn), "test_") && !contains(fn, "setup")
+end
 "match files of the form `*.jl`, but exclude `*_notest.jl` and `*setup*.jl`"
-isexamplefile(fn) =
+function isexamplefile(fn)
   endswith(fn, ".jl") && !endswith(fn, "_notest.jl") && !contains(fn, "setup")
+end
 
 @time begin
   # tests in groups based on folder structure

test/test_basics.jl

@@ -242,11 +242,11 @@ arrayts = (Array, JLArray)
       @test Array(a) isa Array{elt,0}
       @test Array(a) == fill(0)
       for b in (
-        (b = copy(a); @allowscalar(b[] = 2); b),
-        (b = copy(a); @allowscalar(b[CartesianIndex()] = 2); b),
-        (b = copy(a); @allowscalar(b[Block()[]] = 2); b),
+        (b=copy(a); @allowscalar(b[] = 2); b),
+        (b=copy(a); @allowscalar(b[CartesianIndex()] = 2); b),
+        (b=copy(a); @allowscalar(b[Block()[]] = 2); b),
         # Regression test for https://github.com/ITensor/BlockSparseArrays.jl/issues/27.
-        (b = copy(a); b[Block()] = dev(fill(2)); b),
+        (b=copy(a); b[Block()]=dev(fill(2)); b),
       )
         @test size(b) == ()
         @test isone(length(b))