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- Extended support for selecting storage types in the `TensorMap` constructors ([#327](https://github.com/QuantumKitHub/TensorKit.jl/pull/327))
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-`similar_diagonal` to handle storage types when constructing diagonals ([#330](https://github.com/QuantumKitHub/TensorKit.jl/pull/330))
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- Support for CUDA.jl ([#336](https://github.com/QuantumKitHub/TensorKit.jl/pull/336),[#325](https://github.com/QuantumKitHub/TensorKit.jl/pull/325))
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- Support for Adapt.jl ([#344](https://github.com/QuantumKitHub/TensorKit.jl/pull/344))
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- Preliminary support for Mooncake ([#352](https://github.com/QuantumKitHub/TensorKit.jl/pull/352))
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- Export `TimeReversed` symbol ([#337](https://github.com/QuantumKitHub/TensorKit.jl/pull/337))
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### Fixed
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- Issue with using relative tolerances in truncation schemes ([#314](https://github.com/QuantumKitHub/TensorKit.jl/issues/314))
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- Using `scalartype` instead of `eltype` in BLAS contraction ([#326](https://github.com/QuantumKitHub/TensorKit.jl/pull/326))
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- Divide by zero error in `show` for empty tensors ([#329](https://github.com/QuantumKitHub/TensorKit.jl/pull/329))
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-`svd_vals(::DiagonalTensorMap)` correctly outputs `SectorVector` and implementation fix. ([#333](https://github.com/QuantumKitHub/TensorKit.jl/pull/329))
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- Fix handling of real tensors with complex scalartype ([#360](https://github.com/QuantumKitHub/TensorKit.jl/pull/360))
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- Sorted diagonal eigenvalues to ensure consistent ordering ([#350](https://github.com/QuantumKitHub/TensorKit.jl/pull/350))
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- Adding tensors of different types now correctly promotes ([#364](https://github.com/QuantumKitHub/TensorKit.jl/pull/364))
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### Changed
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-`convert(TensorMap, t)` now retains `storagetype` when converting ([#357](https://github.com/QuantumKitHub/TensorKit.jl/pull/357))
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-`transpose` specialization for `DiagonalTensorMap` for improved correctness/performance ([#335](https://github.com/QuantumKitHub/TensorKit.jl/pull/335))
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- Uniformized `CartesianSpace` and `ComplexSpace` constructors ([#334](https://github.com/QuantumKitHub/TensorKit.jl/pull/334))
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