[SparseArraysBase] Delete unnecessary using statements

NDTensors/Project.toml

@@ -1,7 +1,7 @@
 name = "NDTensors"
 uuid = "23ae76d9-e61a-49c4-8f12-3f1a16adf9cf"
 authors = ["Matthew Fishman <[email protected]>"]
-version = "0.3.73"
+version = "0.3.74"
 
 [deps]
 Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"

NDTensors/src/lib/SparseArraysBase/src/abstractsparsearray/base.jl

@@ -1,18 +1,16 @@
-using ..SparseArraysBase: SparseArraysBase
-
 # Base
 function Base.:(==)(a1::AnyAbstractSparseArray, a2::AnyAbstractSparseArray)
-  return SparseArraysBase.sparse_isequal(a1, a2)
+  return sparse_isequal(a1, a2)
 end
 
 function Base.reshape(a::AnyAbstractSparseArray, dims::Tuple{Vararg{Int}})
-  return SparseArraysBase.sparse_reshape(a, dims)
+  return sparse_reshape(a, dims)
 end
 
 function Base.zero(a::AnyAbstractSparseArray)
-  return SparseArraysBase.sparse_zero(a)
+  return sparse_zero(a)
 end
 
 function Base.one(a::AnyAbstractSparseArray)
-  return SparseArraysBase.sparse_one(a)
+  return sparse_one(a)
 end

NDTensors/src/lib/SparseArraysBase/src/abstractsparsearray/baseinterface.jl

@@ -1,35 +1,33 @@
-using ..SparseArraysBase: SparseArraysBase
-
 Base.size(a::AbstractSparseArray) = error("Not implemented")
 
 function Base.similar(a::AbstractSparseArray, elt::Type, dims::Tuple{Vararg{Int}})
   return error("Not implemented")
 end
 
 function Base.getindex(a::AbstractSparseArray, I...)
-  return SparseArraysBase.sparse_getindex(a, I...)
+  return sparse_getindex(a, I...)
 end
 
 # Fixes ambiguity error with `ArrayLayouts`.
 function Base.getindex(a::AbstractSparseMatrix, I1::AbstractVector, I2::AbstractVector)
-  return SparseArraysBase.sparse_getindex(a, I1, I2)
+  return sparse_getindex(a, I1, I2)
 end
 
 # Fixes ambiguity error with `ArrayLayouts`.
 function Base.getindex(
   a::AbstractSparseMatrix, I1::AbstractUnitRange, I2::AbstractUnitRange
 )
-  return SparseArraysBase.sparse_getindex(a, I1, I2)
+  return sparse_getindex(a, I1, I2)
 end
 
 function Base.isassigned(a::AbstractSparseArray, I::Integer...)
-  return SparseArraysBase.sparse_isassigned(a, I...)
+  return sparse_isassigned(a, I...)
 end
 
 function Base.setindex!(a::AbstractSparseArray, I...)
-  return SparseArraysBase.sparse_setindex!(a, I...)
+  return sparse_setindex!(a, I...)
 end
 
 function Base.fill!(a::AbstractSparseArray, value)
-  return SparseArraysBase.sparse_fill!(a, value)
+  return sparse_fill!(a, value)
 end

NDTensors/src/lib/SparseArraysBase/src/abstractsparsearray/sparsearrayinterface.jl

@@ -1,16 +1,15 @@
 using Dictionaries: set!
-using ..SparseArraysBase: SparseArraysBase
 
-SparseArraysBase.sparse_storage(::AbstractSparseArray) = error("Not implemented")
+sparse_storage(::AbstractSparseArray) = error("Not implemented")
 
-function SparseArraysBase.index_to_storage_index(
+function index_to_storage_index(
   a::AbstractSparseArray{<:Any,N}, I::CartesianIndex{N}
 ) where {N}
-  !isassigned(SparseArraysBase.sparse_storage(a), I) && return nothing
+  !isassigned(sparse_storage(a), I) && return nothing
   return I
 end
 
-function SparseArraysBase.setindex_notstored!(
+function setindex_notstored!(
   a::AbstractSparseArray{<:Any,N}, value, I::CartesianIndex{N}
 ) where {N}
   iszero(value) && return a
@@ -20,7 +19,7 @@ end
 # TODO: Make this into a generic definition of all `AbstractArray`?
 # TODO: Check if this is efficient, or determine if this mapping should
 # be performed in `storage_index_to_index` and/or `index_to_storage_index`.
-function SparseArraysBase.sparse_storage(a::SubArray{<:Any,<:Any,<:AbstractSparseArray})
+function sparse_storage(a::SubArray{<:Any,<:Any,<:AbstractSparseArray})
   parent_storage = sparse_storage(parent(a))
   all_sliced_storage_indices = map(keys(parent_storage)) do I
     return map_index(a.indices, I)
@@ -31,7 +30,7 @@ function SparseArraysBase.sparse_storage(a::SubArray{<:Any,<:Any,<:AbstractSpars
 end
 
 # TODO: Make this into a generic definition of all `AbstractArray`?
-function SparseArraysBase.stored_indices(
+function stored_indices(
   a::AnyPermutedDimsArray{<:Any,<:Any,<:Any,<:Any,<:AbstractSparseArray}
 )
   return Iterators.map(
@@ -40,7 +39,7 @@ function SparseArraysBase.stored_indices(
 end
 
 # TODO: Make this into a generic definition of all `AbstractArray`?
-function SparseArraysBase.sparse_storage(
+function sparse_storage(
   a::AnyPermutedDimsArray{<:Any,<:Any,<:Any,<:Any,<:AbstractSparseArray}
 )
   return sparse_storage(parent(a))

NDTensors/src/lib/SparseArraysBase/src/sparsearraydok/arraylayouts.jl

@@ -1,5 +1,4 @@
 using ArrayLayouts: ArrayLayouts, MemoryLayout, MulAdd
-using ..SparseArraysBase: AbstractSparseLayout, SparseLayout
 
 ArrayLayouts.MemoryLayout(::Type{<:SparseArrayDOK}) = SparseLayout()
 

NDTensors/src/lib/SparseArraysBase/src/sparsearraydok/defaults.jl

@@ -1,5 +1,4 @@
 using Dictionaries: Dictionary
-using ..SparseArraysBase: Zero
 
 default_zero() = Zero()
 default_data(type::Type, ndims::Int) = Dictionary{default_keytype(ndims),type}()

NDTensors/src/lib/SparseArraysBase/src/sparsearraydok/sparsearraydok.jl

@@ -1,7 +1,6 @@
 using Accessors: @set
 using Dictionaries: Dictionary, set!
 using MacroTools: @capture
-using ..SparseArraysBase: SparseArraysBase, AbstractSparseArray, getindex_zero_function
 
 # TODO: Parametrize by `data`?
 struct SparseArrayDOK{T,N,Zero} <: AbstractSparseArray{T,N}
@@ -81,15 +80,15 @@ end
 # Base `AbstractArray` interface
 Base.size(a::SparseArrayDOK) = a.dims[]
 
-SparseArraysBase.getindex_zero_function(a::SparseArrayDOK) = a.zero
-function SparseArraysBase.set_getindex_zero_function(a::SparseArrayDOK, f)
+getindex_zero_function(a::SparseArrayDOK) = a.zero
+function set_getindex_zero_function(a::SparseArrayDOK, f)
   return @set a.zero = f
 end
 
-function SparseArraysBase.setindex_notstored!(
+function setindex_notstored!(
   a::SparseArrayDOK{<:Any,N}, value, I::CartesianIndex{N}
 ) where {N}
-  set!(SparseArraysBase.sparse_storage(a), I, value)
+  set!(sparse_storage(a), I, value)
   return a
 end
 
@@ -98,18 +97,18 @@ function Base.similar(a::SparseArrayDOK, elt::Type, dims::Tuple{Vararg{Int}})
 end
 
 # `SparseArraysBase` interface
-SparseArraysBase.sparse_storage(a::SparseArrayDOK) = a.data
+sparse_storage(a::SparseArrayDOK) = a.data
 
-function SparseArraysBase.dropall!(a::SparseArrayDOK)
-  return empty!(SparseArraysBase.sparse_storage(a))
+function dropall!(a::SparseArrayDOK)
+  return empty!(sparse_storage(a))
 end
 
 SparseArrayDOK(a::AbstractArray) = SparseArrayDOK{eltype(a)}(a)
 
 SparseArrayDOK{T}(a::AbstractArray) where {T} = SparseArrayDOK{T,ndims(a)}(a)
 
 function SparseArrayDOK{T,N}(a::AbstractArray) where {T,N}
-  return SparseArraysBase.sparse_convert(SparseArrayDOK{T,N}, a)
+  return sparse_convert(SparseArrayDOK{T,N}, a)
 end
 
 function Base.resize!(a::SparseArrayDOK{<:Any,N}, new_size::NTuple{N,Integer}) where {N}