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README.md

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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="https://github.com/lkdvos/BlockTensorKit.jl/blob/main/docs/src/assets/logo.svg">
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<img alt="BlockTensorKit.jl logo" src="https://github.com/lkdvos/BlockTensorKit.jl/blob/main/docs/src/assets/logo.svg" width="150">
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<source media="(prefers-color-scheme: dark)" srcset="https://github.com/QuantumKitHub/BlockTensorKit.jl/blob/main/docs/src/assets/logo.svg">
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<img alt="BlockTensorKit.jl logo" src="https://github.com/QuantumKitHub/BlockTensorKit.jl/blob/main/docs/src/assets/logo.svg" width="150">
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</picture>
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# BlockTensorKit
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[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg
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[docs-stable-url]: https://lkdvos.github.io/BlockTensorKit.jl/stable
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[docs-stable-url]: https://QuantumKitHub.github.io/BlockTensorKit.jl/stable
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[docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg
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[docs-dev-url]: https://lkdvos.github.io/BlockTensorKit.jl/dev
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[docs-dev-url]: https://QuantumKitHub.github.io/BlockTensorKit.jl/dev
2020

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[ci-img]: https://github.com/lkdvos/BlockTensorKit.jl/actions/workflows/CI.yml/badge.svg
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[ci-url]: https://github.com/lkdvos/BlockTensorKit.jl/actions/workflows/CI.yml
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[ci-img]: https://github.com/QuantumKitHub/BlockTensorKit.jl/actions/workflows/CI.yml/badge.svg
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[ci-url]: https://github.com/QuantumKitHub/BlockTensorKit.jl/actions/workflows/CI.yml
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[codecov-img]: https://codecov.io/gh/lkdvos/BlockTensorKit.jl/graph/badge.svg?token=C1QPCRT1NT
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[codecov-url]: https://codecov.io/gh/lkdvos/BlockTensorKit.jl
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[codecov-img]: https://codecov.io/gh/QuantumKitHub/BlockTensorKit.jl/graph/badge.svg?token=C1QPCRT1NT
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[codecov-url]: https://codecov.io/gh/QuantumKitHub/BlockTensorKit.jl
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[aqua-img]: https://raw.githubusercontent.com/JuliaTesting/Aqua.jl/master/badge.svg
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[aqua-url]: https://github.com/JuliaTesting/Aqua.jl
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In particular, the central types of this package (`<:AbstractBlockTensorMap`) could be describes as having both `AbstractArray`-like interfaces, which allow indexing as well as slicing operations, and `AbstractTensorMap`-like interfaces, allowing linear algebra routines, tensor contraction and tensor factorization.
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The goal is to abstract away the need to deal with the inner structures of such tensors as much as possible, and have the ability to replace `AbstractTensorMap`s with `AbstractBlockTensorMap` without having to change the high-level code.
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For examples and further information, please check out the [documentation](https://lkdvos.github.io/BlockTensorKit.jl/dev).
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For examples and further information, please check out the [documentation](https://QuantumKitHub.github.io/BlockTensorKit.jl/dev).

docs/make.jl

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format = Documenter.HTML(;
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prettyurls = get(ENV, "CI", nothing) == "true",
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mathengine = MathJax(),
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repolink = "https://github.com/lkdvos/BlockTensorKit.jl.git",
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repolink = "https://github.com/QuantumKitHub/BlockTensorKit.jl.git",
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),
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pages = pages,
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pagesonly = true,
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repo = "github.com/lkdvos/BlockTensorKit.jl.git",
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repo = "github.com/QuantumKitHub/BlockTensorKit.jl.git",
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)
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deploydocs(; repo = "github.com/lkdvos/BlockTensorKit.jl.git", push_preview = true)
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deploydocs(; repo = "github.com/QuantumKitHub/BlockTensorKit.jl.git", push_preview = true)

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