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Copy file name to clipboardExpand all lines: getting-started/5-minute-tutorial.ipynb
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"For more information on serialization, see [our documentation regarding `Representation`s](https://cryptimeleon.github.io/docs/representations.html)."
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"For more information on serialization, see [our documentation regarding `Representation`s](https://cryptimeleon.org/docs/representations.html)."
If you want to use the mclwrap library, you also need to [install the MCL java bindings](#mclwrap-installation).
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# Mclwrap Installation
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For benchmarking you will probably want to use an efficient cryptographic pairing implementation.
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The Cryptimeleon Math library does provide a selection of pairings, but these are orders of magnitude less efficient than other, more optimized implementations.
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An efficient pairing implementation is provided by our wrapper around the [MCL library's](https://github.com/herumi/mcl) implementation of the BN254 curve.
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This wrapper is provided by the Cryptimeleon Mclwrap library.
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For a much more efficient bilinear group implementation, use our wrapper around the [MCL library](https://github.com/herumi/mcl)'s BN254 curve.
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To use the MCL wrapper library in your project, you need to install the Java bindings for MCL.
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See [here](https://github.com/cryptimeleon/mclwrap/blob/master/README.md) for installation instructions.
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To use the MCL wrapper library in your project, you need to (1) compile and install MCL, and then (2) add the dependency to our the Java bindings.
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This process is explained [here](https://github.com/cryptimeleon/mclwrap/blob/main/README.md).
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