doc/python: Demonstrate how to override the blas implementation
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@ -1185,8 +1185,7 @@ following are specific to `buildPythonPackage`:
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variables which will be available when the binary is run. For example,
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`makeWrapperArgs = ["--set FOO BAR" "--set BAZ QUX"]`.
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* `namePrefix`: Prepends text to `${name}` parameter. In case of libraries, this
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defaults to `"python3.8-"` for Python 3.8, etc., and in case of applications
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to `""`.
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defaults to `"python3.8-"` for Python 3.8, etc., and in case of applications to `""`.
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* `pipInstallFlags ? []`: A list of strings. Arguments to be passed to `pip
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install`. To pass options to `python setup.py install`, use
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`--install-option`. E.g., `pipInstallFlags=["--install-option='--cpp_implementation'"]`.
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@ -1244,6 +1243,27 @@ with import <nixpkgs> {};
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in python.withPackages(ps: [ ps.blaze ])).env
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```
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The next example shows a non trivial overriding of the `blas` implementation to
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be used through out all of the Python package set:
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```nix
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python3MyBlas = pkgs.python3.override {
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packageOverrides = self: super: {
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# We need toPythonModule for the package set to evaluate this
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blas = super.toPythonModule(super.pkgs.blas.override {
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blasProvider = super.pkgs.mkl;
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});
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lapack = super.toPythonModule(super.pkgs.lapack.override {
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lapackProvider = super.pkgs.mkl;
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});
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};
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};
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```
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This is particularly useful for numpy and scipy users who want to gain speed with other blas implementations.
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Note that using simply `scipy = super.scipy.override { blas = super.pkgs.mkl; };` will likely result in
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compilation issues, because scipy dependencies need to use the same blas implementation as well.
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#### Optional extra dependencies {#python-optional-dependencies}
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Some packages define optional dependencies for additional features. With
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