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Update build instruction in README (#1247)
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README.md

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[![Build Status](https://dev.azure.com/IntelPython/dpnp/_apis/build/status/IntelPython.dpnp?branchName=master)](https://dev.azure.com/IntelPython/dpnp/_build/latest?definitionId=6&branchName=master)
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[![Pre-commit](https://github.com/IntelPython/dpnp/actions/workflows/pre-commit.yml/badge.svg?branch=master&event=push)](https://github.com/IntelPython/dpnp/actions/workflows/pre-commit.yml)
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[![Conda package](https://github.com/IntelPython/dpnp/actions/workflows/conda-package.yml/badge.svg?branch=master&event=push)](https://github.com/IntelPython/dpnp/actions/workflows/conda-package.yml)
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[![codecov](https://codecov.io/gh/IntelPython/dpnp/branch/master/graph/badge.svg)](https://codecov.io/gh/IntelPython/dpnp)
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[![Build Sphinx](https://github.com/IntelPython/dpnp/workflows/Build%20Sphinx/badge.svg)](https://intelpython.github.io/dpnp)
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@@ -14,31 +15,12 @@ Ensure you have the following prerequisite packages installed:
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- `mkl-devel-dpcpp`
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- `dpcpp_linux-64` or `dpcpp_win-64` (depending on your OS)
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- `onedpl-devel`
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- `tbb-devel`
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- `dpctl`
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In addition, you need oneDPL installed on your system. There are two ways to do
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so:
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1. Install oneAPI and run the oneDPL activation script. E.g., on linux:
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```bash
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source /opt/intel/oneapi/dpl/latest/env/vars.sh
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```
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2. Clone dpl from https://github.com/oneapi-src/oneDPL and set the `DPL_ROOT`
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environment variable to point to the `include` directory in the repository.
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E.g., on linux
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```bash
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git clone https://github.com/oneapi-src/oneDPL
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export DPL_ROOT=$(pwd)/oneDPL/include
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```
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After these steps, `dpnp` can be built in debug mode as follows:
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```bash
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git clone https://github.com/IntelPython/dpnp
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cd dpnp

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