ITensor · mtfishman · Oct 11, 2025 · Oct 11, 2025 · Oct 11, 2025 · Oct 11, 2025
diff --git a/NDTensors/Project.toml b/NDTensors/Project.toml
@@ -1,7 +1,7 @@
 name = "NDTensors"
 uuid = "23ae76d9-e61a-49c4-8f12-3f1a16adf9cf"
 authors = ["Matthew Fishman <[email protected]>"]
-version = "0.4.13"
+version = "0.4.14"
 
 [deps]
 Accessors = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"
@@ -28,7 +28,6 @@ Strided = "5e0ebb24-38b0-5f93-81fe-25c709ecae67"
 StridedViews = "4db3bf67-4bd7-4b4e-b153-31dc3fb37143"
 TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
 TupleTools = "9d95972d-f1c8-5527-a6e0-b4b365fa01f6"
-TypeParameterAccessors = "7e5a90cf-f82e-492e-a09b-e3e26432c138"
 VectorInterface = "409d34a3-91d5-4945-b6ec-7529ddf182d8"
 
 [weakdeps]
@@ -88,7 +87,6 @@ StridedViews = "0.2.2, 0.3, 0.4"
 TBLIS = "0.2"
 TimerOutputs = "0.5.5"
 TupleTools = "1.2.0"
-TypeParameterAccessors = "0.3"
 VectorInterface = "0.4.2, 0.5"
 cuTENSOR = "2"
 julia = "1.10"

diff --git a/NDTensors/ext/NDTensorsAMDGPUExt/NDTensorsAMDGPUExt.jl b/NDTensors/ext/NDTensorsAMDGPUExt/NDTensorsAMDGPUExt.jl
@@ -1,5 +1,14 @@
 module NDTensorsAMDGPUExt
 
+module Vendored
+    include(
+        joinpath(
+            "..", "..", "src", "vendored", "TypeParameterAccessors", "ext",
+            "TypeParameterAccessorsAMDGPUExt.jl"
+        )
+    )
+end
+
 include("append.jl")
 include("copyto.jl")
 include("set_types.jl")

diff --git a/NDTensors/ext/NDTensorsAMDGPUExt/adapt.jl b/NDTensors/ext/NDTensorsAMDGPUExt/adapt.jl
@@ -1,7 +1,7 @@
 using NDTensors: NDTensors, EmptyStorage, adapt_storagetype, emptytype
 using NDTensors.AMDGPUExtensions: AMDGPUExtensions, ROCArrayAdaptor
 using NDTensors.GPUArraysCoreExtensions: storagemode
-using NDTensors.TypeParameterAccessors:
+using NDTensors.Vendored.TypeParameterAccessors:
     default_type_parameters, set_type_parameters, type_parameters
 using Adapt: Adapt, adapt
 using AMDGPU: AMDGPU, ROCArray, ROCVector

diff --git a/NDTensors/ext/NDTensorsAMDGPUExt/linearalgebra.jl b/NDTensors/ext/NDTensorsAMDGPUExt/linearalgebra.jl
@@ -1,7 +1,7 @@
 using NDTensors.AMDGPUExtensions: roc
 using NDTensors.Expose: Expose, Exposed, expose, ql, ql_positive
 using NDTensors.GPUArraysCoreExtensions: cpu
-using NDTensors.TypeParameterAccessors: unwrap_array_type
+using NDTensors.Vendored.TypeParameterAccessors: unwrap_array_type
 using LinearAlgebra: svd
 using Adapt: adapt
 using AMDGPU: ROCMatrix

diff --git a/NDTensors/ext/NDTensorsAMDGPUExt/set_types.jl b/NDTensors/ext/NDTensorsAMDGPUExt/set_types.jl
@@ -1,5 +1,5 @@
 using AMDGPU: ROCArray
 using NDTensors.GPUArraysCoreExtensions: storagemode
-using NDTensors.TypeParameterAccessors: TypeParameterAccessors, Position
+using NDTensors.Vendored.TypeParameterAccessors: TypeParameterAccessors, Position
 
 TypeParameterAccessors.position(::Type{<:ROCArray}, ::typeof(storagemode)) = Position(3)
diff --git a/NDTensors/ext/NDTensorsCUDAExt/NDTensorsCUDAExt.jl b/NDTensors/ext/NDTensorsCUDAExt/NDTensorsCUDAExt.jl
@@ -1,4 +1,14 @@
 module NDTensorsCUDAExt
+
+module Vendored
+    include(
+        joinpath(
+            "..", "..", "src", "vendored", "TypeParameterAccessors", "ext",
+            "TypeParameterAccessorsCUDAExt.jl"
+        )
+    )
+end
+
 include("append.jl")
 include("default_kwargs.jl")
 include("copyto.jl")
@@ -9,4 +19,5 @@ include("indexing.jl")
 include("linearalgebra.jl")
 include("mul.jl")
 include("permutedims.jl")
+
 end
diff --git a/NDTensors/ext/NDTensorsCUDAExt/adapt.jl b/NDTensors/ext/NDTensorsCUDAExt/adapt.jl
@@ -4,7 +4,7 @@ using Functors: fmap
 using NDTensors: NDTensors, EmptyStorage, adapt_storagetype, emptytype
 using NDTensors.CUDAExtensions: CUDAExtensions, CuArrayAdaptor
 using NDTensors.GPUArraysCoreExtensions: storagemode
-using NDTensors.TypeParameterAccessors:
+using NDTensors.Vendored.TypeParameterAccessors:
     default_type_parameters, set_type_parameters, type_parameters
 
 function CUDAExtensions.cu(xs; storagemode = default_type_parameters(CuArray, storagemode))

diff --git a/NDTensors/ext/NDTensorsCUDAExt/linearalgebra.jl b/NDTensors/ext/NDTensorsCUDAExt/linearalgebra.jl
@@ -4,7 +4,7 @@ using LinearAlgebra: Adjoint, svd
 using NDTensors: NDTensors
 using NDTensors.Expose: Expose, expose, ql, ql_positive
 using NDTensors.GPUArraysCoreExtensions: cpu
-using NDTensors.TypeParameterAccessors: unwrap_array_type
+using NDTensors.Vendored.TypeParameterAccessors: unwrap_array_type
 function NDTensors.svd_catch_error(A::CuMatrix; alg::String = "jacobi_algorithm")
     if alg == "jacobi_algorithm"
         alg = CUDA.CUSOLVER.JacobiAlgorithm()

diff --git a/NDTensors/ext/NDTensorsCUDAExt/set_types.jl b/NDTensors/ext/NDTensorsCUDAExt/set_types.jl
@@ -1,6 +1,6 @@
 using CUDA: CuArray
 using NDTensors.GPUArraysCoreExtensions: storagemode
-using NDTensors.TypeParameterAccessors: TypeParameterAccessors, Position
+using NDTensors.Vendored.TypeParameterAccessors: TypeParameterAccessors, Position
 
 function TypeParameterAccessors.position(::Type{<:CuArray}, ::typeof(storagemode))
     return Position(3)

diff --git a/NDTensors/ext/NDTensorsGPUArraysCoreExt/contract.jl b/NDTensors/ext/NDTensorsGPUArraysCoreExt/contract.jl
@@ -2,7 +2,7 @@ using Adapt: adapt
 using GPUArraysCore: AbstractGPUArray
 using NDTensors: NDTensors, DenseTensor, DiagTensor, contract!, dense, inds, Tensor
 using NDTensors.Expose: Exposed, expose, unexpose
-using NDTensors.TypeParameterAccessors: parenttype, set_ndims
+using NDTensors.Vendored.TypeParameterAccessors: parenttype, set_ndims
 
 function NDTensors.contract!(
         output_tensor::Exposed{<:AbstractGPUArray, <:DenseTensor},

diff --git a/NDTensors/ext/NDTensorsJLArraysExt/NDTensorsJLArraysExt.jl b/NDTensors/ext/NDTensorsJLArraysExt/NDTensorsJLArraysExt.jl
@@ -1,7 +1,18 @@
 module NDTensorsJLArraysExt
+
+module Vendored
+    include(
+        joinpath(
+            "..", "..", "src", "vendored", "TypeParameterAccessors", "ext",
+            "TypeParameterAccessorsJLArraysExt.jl"
+        )
+    )
+end
+
 include("copyto.jl")
 include("indexing.jl")
 include("linearalgebra.jl")
 include("mul.jl")
 include("permutedims.jl")
+
 end
diff --git a/NDTensors/ext/NDTensorsJLArraysExt/linearalgebra.jl b/NDTensors/ext/NDTensorsJLArraysExt/linearalgebra.jl
@@ -4,7 +4,7 @@ using LinearAlgebra: LinearAlgebra, Hermitian, Symmetric, qr, eigen
 using NDTensors: NDTensors
 using NDTensors.Expose: Expose, expose, qr, qr_positive, ql, ql_positive
 using NDTensors.GPUArraysCoreExtensions: cpu
-using NDTensors.TypeParameterAccessors: unwrap_array_type
+using NDTensors.Vendored.TypeParameterAccessors: unwrap_array_type
 
 ## TODO this function exists because of the same issue below. when
 ## that issue is resolved we can rely on the abstractarray version of

diff --git a/NDTensors/ext/NDTensorsMetalExt/NDTensorsMetalExt.jl b/NDTensors/ext/NDTensorsMetalExt/NDTensorsMetalExt.jl
@@ -1,5 +1,14 @@
 module NDTensorsMetalExt
 
+module Vendored
+    include(
+        joinpath(
+            "..", "..", "src", "vendored", "TypeParameterAccessors", "ext",
+            "TypeParameterAccessorsMetalExt.jl"
+        )
+    )
+end
+
 include("adapt.jl")
 include("set_types.jl")
 include("indexing.jl")

diff --git a/NDTensors/ext/NDTensorsMetalExt/adapt.jl b/NDTensors/ext/NDTensorsMetalExt/adapt.jl
@@ -5,7 +5,7 @@ using NDTensors: NDTensors, EmptyStorage, adapt_storagetype, emptytype
 using NDTensors.Expose: Exposed
 using NDTensors.MetalExtensions: MetalExtensions, MtlArrayAdaptor
 using NDTensors.GPUArraysCoreExtensions: GPUArraysCoreExtensions
-using NDTensors.TypeParameterAccessors: set_type_parameters, type_parameters
+using NDTensors.Vendored.TypeParameterAccessors: set_type_parameters, type_parameters
 
 GPUArraysCoreExtensions.cpu(e::Exposed{<:MtlArray}) = adapt(Array, e)
 

diff --git a/NDTensors/ext/NDTensorsMetalExt/linearalgebra.jl b/NDTensors/ext/NDTensorsMetalExt/linearalgebra.jl
@@ -1,7 +1,7 @@
 using Metal: MtlMatrix
 using LinearAlgebra: LinearAlgebra, qr, eigen, svd
 using NDTensors.Expose: qr_positive, ql_positive, ql
-using NDTensors.TypeParameterAccessors:
+using NDTensors.Vendored.TypeParameterAccessors:
     set_type_parameters, type_parameters, unwrap_array_type
 
 function LinearAlgebra.qr(A::Exposed{<:MtlMatrix})

diff --git a/NDTensors/ext/NDTensorsMetalExt/set_types.jl b/NDTensors/ext/NDTensorsMetalExt/set_types.jl
@@ -1,6 +1,6 @@
 using Metal: MtlArray
 using NDTensors.GPUArraysCoreExtensions: storagemode
-using NDTensors.TypeParameterAccessors: TypeParameterAccessors, Position
+using NDTensors.Vendored.TypeParameterAccessors: TypeParameterAccessors, Position
 
 function TypeParameterAccessors.position(::Type{<:MtlArray}, ::typeof(storagemode))
     return Position(3)

diff --git a/NDTensors/src/NDTensors.jl b/NDTensors/src/NDTensors.jl
@@ -1,4 +1,25 @@
 module NDTensors
+
+module Vendored
+    include(
+        joinpath(
+            "vendored", "TypeParameterAccessors", "src", "TypeParameterAccessors.jl"
+        )
+    )
+    include(
+        joinpath(
+            "vendored", "TypeParameterAccessors", "ext",
+            "TypeParameterAccessorsFillArraysExt.jl"
+        )
+    )
+    include(
+        joinpath(
+            "vendored", "TypeParameterAccessors", "ext",
+            "TypeParameterAccessorsStridedViewsExt.jl"
+        )
+    )
+end
+
 #####################################
 # Imports and exports
 #

diff --git a/NDTensors/src/abstractarray/generic_array_constructors.jl b/NDTensors/src/abstractarray/generic_array_constructors.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors:
+using .Vendored.TypeParameterAccessors:
     unwrap_array_type,
     specify_default_type_parameters,
     specify_type_parameters,

diff --git a/NDTensors/src/abstractarray/iscu.jl b/NDTensors/src/abstractarray/iscu.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: unwrap_array_type
+using .Vendored.TypeParameterAccessors: unwrap_array_type
 # TODO: Make `isgpu`, `ismtl`, etc.
 # For `isgpu`, will require a `NDTensorsGPUArrayCoreExt`.
 iscu(A::AbstractArray) = iscu(typeof(A))

diff --git a/NDTensors/src/abstractarray/set_types.jl b/NDTensors/src/abstractarray/set_types.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: TypeParameterAccessors
+using .Vendored.TypeParameterAccessors: TypeParameterAccessors
 
 """
 # Do we still want to define things like this?

diff --git a/NDTensors/src/abstractarray/similar.jl b/NDTensors/src/abstractarray/similar.jl
@@ -1,5 +1,5 @@
 using Base: DimOrInd, Dims, OneTo
-using TypeParameterAccessors: IsWrappedArray, unwrap_array_type, set_eltype, similartype
+using .Vendored.TypeParameterAccessors: IsWrappedArray, unwrap_array_type, set_eltype, similartype
 
 ## Custom `NDTensors.similar` implementation.
 ## More extensive than `Base.similar`.

diff --git a/NDTensors/src/adapt.jl b/NDTensors/src/adapt.jl
@@ -27,7 +27,7 @@ double_precision(x) = fmap(x -> adapt(double_precision(eltype(x)), x), x)
 # Used to adapt `EmptyStorage` types
 #
 
-using TypeParameterAccessors: specify_type_parameters
+using .Vendored.TypeParameterAccessors: specify_type_parameters
 function adapt_storagetype(to::Type{<:AbstractVector}, x::Type{<:TensorStorage})
     return set_datatype(x, specify_type_parameters(to, eltype, eltype(x)))
 end

diff --git a/NDTensors/src/blocksparse/blockdims.jl b/NDTensors/src/blocksparse/blockdims.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: TypeParameterAccessors
+using .Vendored.TypeParameterAccessors: TypeParameterAccessors
 
 """
     BlockDim

diff --git a/NDTensors/src/blocksparse/blocksparsetensor.jl b/NDTensors/src/blocksparse/blocksparsetensor.jl
@@ -1,5 +1,5 @@
 using SparseArrays: nnz
-using TypeParameterAccessors: similartype
+using .Vendored.TypeParameterAccessors: similartype
 
 #
 # BlockSparseTensor (Tensor using BlockSparse storage)
@@ -258,7 +258,7 @@ end
 # Defaults to adding zeros.
 # Returns the offset of the new block added.
 # XXX rename to insertblock!, no need to return offset
-using TypeParameterAccessors: unwrap_array_type
+using .Vendored.TypeParameterAccessors: unwrap_array_type
 using .Expose: Exposed, expose, unexpose
 function insertblock_offset!(T::BlockSparseTensor{ElT, N}, newblock::Block{N}) where {ElT, N}
     newdim = blockdim(T, newblock)
@@ -792,7 +792,7 @@ end
 # <fermions>
 permfactor(perm, block, inds) = 1
 
-using TypeParameterAccessors: set_type_parameters, parenttype
+using .Vendored.TypeParameterAccessors: set_type_parameters, parenttype
 function permutedims!(
         R::BlockSparseTensor{<:Number, N},
         T::BlockSparseTensor{<:Number, N},

diff --git a/NDTensors/src/blocksparse/diagblocksparse.jl b/NDTensors/src/blocksparse/diagblocksparse.jl
@@ -1,5 +1,5 @@
 using LinearAlgebra: LinearAlgebra
-using TypeParameterAccessors: similartype
+using .Vendored.TypeParameterAccessors: similartype
 
 export DiagBlockSparse, DiagBlockSparseTensor
 

diff --git a/NDTensors/src/blocksparse/linearalgebra.jl b/NDTensors/src/blocksparse/linearalgebra.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: unwrap_array_type
+using .Vendored.TypeParameterAccessors: unwrap_array_type
 using .Expose: expose
 const BlockSparseMatrix{ElT, StoreT, IndsT} = BlockSparseTensor{ElT, 2, StoreT, IndsT}
 const DiagBlockSparseMatrix{ElT, StoreT, IndsT} = DiagBlockSparseTensor{ElT, 2, StoreT, IndsT}

diff --git a/NDTensors/src/blocksparse/similar.jl b/NDTensors/src/blocksparse/similar.jl
@@ -1,5 +1,5 @@
 using SparseArrays: nnz
-using TypeParameterAccessors: similartype
+using .Vendored.TypeParameterAccessors: similartype
 
 # NDTensors.similar
 function similar(storagetype::Type{<:BlockSparse}, blockoffsets::BlockOffsets, dims::Tuple)

diff --git a/NDTensors/src/default_kwargs.jl b/NDTensors/src/default_kwargs.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: unwrap_array_type
+using .Vendored.TypeParameterAccessors: unwrap_array_type
 replace_nothing(::Nothing, replacement) = replacement
 replace_nothing(value, replacement) = value
 

diff --git a/NDTensors/src/dense/dense.jl b/NDTensors/src/dense/dense.jl
@@ -124,7 +124,7 @@ dense(storagetype::Type{<:Dense}) = storagetype
 # TODO: make these more general, move to tensorstorage.jl
 datatype(storetype::Type{<:Dense{<:Any, DataT}}) where {DataT} = DataT
 
-using TypeParameterAccessors: unwrap_array_type
+using .Vendored.TypeParameterAccessors: unwrap_array_type
 function promote_rule(
         ::Type{<:Dense{ElT1, DataT1}}, ::Type{<:Dense{ElT2, DataT2}}
     ) where {ElT1, DataT1, ElT2, DataT2}

diff --git a/NDTensors/src/dense/generic_array_constructors.jl b/NDTensors/src/dense/generic_array_constructors.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors:
+using .Vendored.TypeParameterAccessors:
     default_type_parameters,
     parenttype,
     set_eltype,

diff --git a/NDTensors/src/dense/set_types.jl b/NDTensors/src/dense/set_types.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: TypeParameterAccessors, Position, parenttype
+using .Vendored.TypeParameterAccessors: TypeParameterAccessors, Position, parenttype
 
 function set_datatype(storagetype::Type{<:Dense}, datatype::Type{<:AbstractVector})
     return Dense{eltype(datatype), datatype}

diff --git a/NDTensors/src/diag/diagtensor.jl b/NDTensors/src/diag/diagtensor.jl
@@ -113,7 +113,7 @@ function dense(::Type{<:Tensor{ElT, N, StoreT, IndsT}}) where {ElT, N, StoreT <:
     return Tensor{ElT, N, dense(StoreT), IndsT}
 end
 
-using TypeParameterAccessors: unwrap_array_type
+using .Vendored.TypeParameterAccessors: unwrap_array_type
 # convert to Dense
 function dense(T::DiagTensor)
     R = zeros(dense(typeof(T)), inds(T))

diff --git a/NDTensors/src/diag/set_types.jl b/NDTensors/src/diag/set_types.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: TypeParameterAccessors
+using .Vendored.TypeParameterAccessors: TypeParameterAccessors
 
 function TypeParameterAccessors.set_eltype(storagetype::Type{<:UniformDiag}, eltype::Type)
     return Diag{eltype, eltype}

diff --git a/NDTensors/src/diag/similar.jl b/NDTensors/src/diag/similar.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: TypeParameterAccessors
+using .Vendored.TypeParameterAccessors: TypeParameterAccessors
 
 # NDTensors.similar
 function similar(storagetype::Type{<:Diag}, dims::Dims)

diff --git a/NDTensors/src/dims.jl b/NDTensors/src/dims.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: TypeParameterAccessors
+using .Vendored.TypeParameterAccessors: TypeParameterAccessors
 
 export dense, dims, dim, mindim, diaglength
 

diff --git a/NDTensors/src/empty/empty.jl b/NDTensors/src/empty/empty.jl
@@ -1,5 +1,5 @@
 using SparseArrays: SparseArrays
-using TypeParameterAccessors: TypeParameterAccessors, set_eltype, similartype
+using .Vendored.TypeParameterAccessors: TypeParameterAccessors, set_eltype, similartype
 
 #
 # Represents a tensor order that could be set to any order.
@@ -95,6 +95,6 @@ function Base.show(io::IO, mime::MIME"text/plain", S::EmptyStorage)
     return println(io, typeof(S))
 end
 
-using TypeParameterAccessors: TypeParameterAccessors
+using .Vendored.TypeParameterAccessors: TypeParameterAccessors
 TypeParameterAccessors.parenttype(empty::Type{<:EmptyStorage}) = storagetype(empty)
 zero(empty::EmptyStorage) = empty
diff --git a/NDTensors/src/lib/AMDGPUExtensions/src/AMDGPUExtensions.jl b/NDTensors/src/lib/AMDGPUExtensions/src/AMDGPUExtensions.jl
@@ -1,4 +1,5 @@
 module AMDGPUExtensions
+
 include("roc.jl")
 
 end
diff --git a/NDTensors/src/lib/AMDGPUExtensions/src/roc.jl b/NDTensors/src/lib/AMDGPUExtensions/src/roc.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: TypeParameterAccessors, Position
+using ..Vendored.TypeParameterAccessors: TypeParameterAccessors, Position
 using ..GPUArraysCoreExtensions: storagemode
 # Implemented in NDTensorsAMDGPUExt
 function roc end

diff --git a/NDTensors/src/lib/CUDAExtensions/src/CUDAExtensions.jl b/NDTensors/src/lib/CUDAExtensions/src/CUDAExtensions.jl
@@ -1,4 +1,5 @@
 module CUDAExtensions
+
 include("cuda.jl")
 
 end
diff --git a/NDTensors/src/lib/CUDAExtensions/src/cuda.jl b/NDTensors/src/lib/CUDAExtensions/src/cuda.jl
@@ -1,4 +1,4 @@
-using TypeParameterAccessors: TypeParameterAccessors, Position
+using ..Vendored.TypeParameterAccessors: TypeParameterAccessors, Position
 using ..GPUArraysCoreExtensions: storagemode
 # Implemented in NDTensorsCUDAExt
 function cu end

diff --git a/NDTensors/src/lib/Expose/src/Expose.jl b/NDTensors/src/lib/Expose/src/Expose.jl
@@ -1,4 +1,5 @@
 module Expose
+
 using SimpleTraits
 using LinearAlgebra
 using Base: ReshapedArray