Correct some typos (#375)

Signed-off-by: Alexander Seiler <[email protected]>

Author: goggle

src/abstractsparse.jl

@@ -145,7 +145,7 @@ is stored in `_restore_scalar_indexing` and a function that has the same definit
 returns an error is stored in `_destroy_scalar_indexing`.
 """
 macro RCI(exp)
-    # Evaluate to not push any broken code in the arrays when developping this package.
+    # Evaluate to not push any broken code in the arrays when developing this package.
     # Ensures that restore has the exact same effect.
     # Expand macro so we can chain macros. Save the expanded version for speed
     exp = macroexpand(__module__, exp)

src/sparsematrix.jl

@@ -110,7 +110,7 @@ move_fixed(x::AbstractSparseMatrixCSC) = FixedSparseCSC(size(x)..., getcolptr(x)
 """
     `_unsafe_unfix(x)`
 
-Experimental, unsafe. Returns a modifyable version of `x` for compatibility with this codebase.
+Experimental, unsafe. Returns a modifiable version of `x` for compatibility with this codebase.
 """
 _unsafe_unfix(x::FixedSparseCSC) = SparseMatrixCSC(size(x)..., parent(getcolptr(x)), parent(rowvals(x)), nonzeros(x))
 _unsafe_unfix(x::SparseMatrixCSC) = x
@@ -697,7 +697,7 @@ the original sparse matrix, except in the case where dimensions of the
 output matrix are different from the output.
 
 The output matrix has zeros in the same locations as the input, but
-unititialized values for the nonzero locations.
+uninitialized values for the nonzero locations.
 """
 similar(S::AbstractSparseMatrixCSC{<:Any,Ti}, ::Type{TvNew}) where {Ti,TvNew} =
     @if_move_fixed S _sparsesimilar(S, TvNew, Ti)
@@ -1361,7 +1361,7 @@ end
 
 Transpose `A` and store it in `X` while applying the function `f` to the non-zero elements.
 Does not remove the zeros created by `f`. `size(X)` must be equal to `size(transpose(A))`.
-No additonal memory is allocated other than resizing the rowval and nzval of `X`, if needed.
+No additional memory is allocated other than resizing the rowval and nzval of `X`, if needed.
 
 See `halfperm!`
 """
@@ -1382,7 +1382,7 @@ end
 
 Transpose the matrix `A` and stores it in the matrix `X`.
 `size(X)` must be equal to `size(transpose(A))`.
-No additonal memory is allocated other than resizing the rowval and nzval of `X`, if needed.
+No additional memory is allocated other than resizing the rowval and nzval of `X`, if needed.
 
 See `halfperm!`
 """
@@ -1393,7 +1393,7 @@ transpose!(X::AbstractSparseMatrixCSC{Tv,Ti}, A::AbstractSparseMatrixCSC{Tv,Ti})
 
 Transpose the matrix `A` and stores the adjoint of the elements in the matrix `X`.
 `size(X)` must be equal to `size(transpose(A))`.
-No additonal memory is allocated other than resizing the rowval and nzval of `X`, if needed.
+No additional memory is allocated other than resizing the rowval and nzval of `X`, if needed.
 
 See `halfperm!`
 """
@@ -4273,7 +4273,7 @@ end
 function Base.swapcols!(A::AbstractSparseMatrixCSC, i, j)
     i == j && return
 
-    # For simplicitly, let i denote the smaller of the two columns
+    # For simplicity, let i denote the smaller of the two columns
     j < i && @swap(i, j)
 
     colptr = getcolptr(A)
@@ -4312,7 +4312,7 @@ function Base.swapcols!(A::AbstractSparseMatrixCSC, i, j)
 end
 
 function Base.swaprows!(A::AbstractSparseMatrixCSC, i, j)
-    # For simplicitly, let i denote the smaller of the two rows
+    # For simplicity, let i denote the smaller of the two rows
     j < i && @swap(i, j)
 
     rows = rowvals(A)

src/sparsevector.jl

@@ -1246,7 +1246,7 @@ promote_to_arrays_(n::Int, ::Type{SparseMatrixCSC}, J::UniformScaling) = sparse(
 Concatenate along dimension 2. Return a SparseMatrixCSC object.
 
 !!! compat "Julia 1.8"
-    This method was added in Julia 1.8. It mimicks previous concatenation behavior, where
+    This method was added in Julia 1.8. It mimics previous concatenation behavior, where
     the concatenation with specialized "sparse" matrix types from LinearAlgebra.jl
     automatically yielded sparse output even in the absence of any SparseArray argument.
 """
@@ -1261,7 +1261,7 @@ end
 Concatenate along dimension 1. Return a SparseMatrixCSC object.
 
 !!! compat "Julia 1.8"
-    This method was added in Julia 1.8. It mimicks previous concatenation behavior, where
+    This method was added in Julia 1.8. It mimics previous concatenation behavior, where
     the concatenation with specialized "sparse" matrix types from LinearAlgebra.jl
     automatically yielded sparse output even in the absence of any SparseArray argument.
 """
@@ -1278,7 +1278,7 @@ for block matrix syntax. The first argument specifies the number of
 arguments to concatenate in each block row.
 
 !!! compat "Julia 1.8"
-    This method was added in Julia 1.8. It mimicks previous concatenation behavior, where
+    This method was added in Julia 1.8. It mimics previous concatenation behavior, where
     the concatenation with specialized "sparse" matrix types from LinearAlgebra.jl
     automatically yielded sparse output even in the absence of any SparseArray argument.
 """
@@ -1919,7 +1919,7 @@ function mul!(y::AbstractVector, A::AbstractSparseMatrixCSC, x::AbstractSparseVe
     return y
 end
 
-# * and *(Tranpose(A), B)
+# * and *(Transpose(A), B)
 mul!(y::AbstractVector, tA::Transpose{<:Any,<:AbstractSparseMatrixCSC}, x::AbstractSparseVector, α::Number, β::Number) =
     _At_or_Ac_mul_B!((a,b) -> transpose(a) * b, y, tA.parent, x, α, β)
 

test/cholmod.jl

@@ -807,7 +807,7 @@ end
     end
 end
 
-@testset "Test sparse low rank update for cholesky decomposion" begin
+@testset "Test sparse low rank update for cholesky decomposition" begin
     A = SparseMatrixCSC{Float64,SuiteSparse_long}(10, 5, [1,3,6,8,10,13], [6,7,1,2,9,3,5,1,7,6,7,9],
         [-0.138843, 2.99571, -0.556814, 0.669704, -1.39252, 1.33814,
         1.02371, -0.502384, 1.10686, 0.262229, -1.6935, 0.525239])
@@ -923,7 +923,7 @@ end
 end
 
 @testset "Check common is still in default state" begin
-    # This test intentially depends on all the above tests!
+    # This test intentionally depends on all the above tests!
     current_common = CHOLMOD.getcommon()
     default_common = Ref(cholmod_common())
     result = cholmod_l_start(default_common)