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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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-
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- 1 . Install oneAPI and run the oneDPL activation script. E.g., on linux:
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-
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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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-
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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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-
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- E.g., on linux
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-
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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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-
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After these steps, ` dpnp ` can be built in debug mode as follows:
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-
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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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