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README.md

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@@ -12,7 +12,7 @@ A lightweight python AUTOmatic-arRAY library. Write numeric code that works for:
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* [pytorch](https://pytorch.org/)
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* ... and indeed **any** library that provides a numpy-*ish* api.
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[![tests](https://github.com/jcmgray/autoray/actions/workflows/tests.yml/badge.svg)](https://github.com/jcmgray/autoray/actions/workflows/tests.yml) [![codecov](https://codecov.io/gh/jcmgray/autoray/branch/master/graph/badge.svg?token=Q5evNiuT9S)](https://codecov.io/gh/jcmgray/autoray) [![Available on pypi](https://img.shields.io/pypi/v/autoray.svg)](https://pypi.python.org/pypi/autoray/) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/autoray/badges/version.svg)](https://conda.anaconda.org/conda-forge)
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As an example consider this function that orthogonalizes a matrix using the modified [Gram-Schmidt](https://en.wikipedia.org/wiki/Gram%E2%80%93Schmidt_process) algorithm:
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