93 lines
1.9 KiB
Nix
93 lines
1.9 KiB
Nix
{
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lib,
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stdenv,
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buildPythonPackage,
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fetchFromGitHub,
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# build-system
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cmake,
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ninja,
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pathspec,
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scikit-build-core,
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# dependencies
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eigen,
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# tests
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pytestCheckHook,
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numpy,
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scipy,
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torch,
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tensorflow-bin,
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jax,
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jaxlib,
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nanobind,
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}:
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buildPythonPackage rec {
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pname = "nanobind";
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version = "2.7.0";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "wjakob";
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repo = "nanobind";
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tag = "v${version}";
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fetchSubmodules = true;
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hash = "sha256-ex5svqDp9XJtiNCxu0249ORL6LbG679U6PvKQaWANmE=";
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};
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build-system = [
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cmake
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ninja
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pathspec
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scikit-build-core
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];
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dependencies = [ eigen ];
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dontUseCmakeBuildDir = true;
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# nanobind check requires heavy dependencies such as tensorflow
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# which are less than ideal to be imported in children packages that
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# use it as build-system parameter.
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doCheck = false;
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preCheck = ''
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# build tests
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make -j $NIX_BUILD_CORES
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'';
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nativeCheckInputs =
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[
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pytestCheckHook
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numpy
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scipy
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torch
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]
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++ lib.optionals (lib.meta.availableOn stdenv.hostPlatform tensorflow-bin) [
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tensorflow-bin
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jax
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jaxlib
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];
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passthru.tests = {
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pytest = nanobind.overridePythonAttrs { doCheck = true; };
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};
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meta = {
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homepage = "https://github.com/wjakob/nanobind";
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changelog = "https://github.com/wjakob/nanobind/blob/${src.tag}/docs/changelog.rst";
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description = "Tiny and efficient C++/Python bindings";
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longDescription = ''
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nanobind is a small binding library that exposes C++ types in Python and
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vice versa. It is reminiscent of Boost.Python and pybind11 and uses
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near-identical syntax. In contrast to these existing tools, nanobind is
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more efficient: bindings compile in a shorter amount of time, produce
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smaller binaries, and have better runtime performance.
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'';
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license = lib.licenses.bsd3;
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maintainers = with lib.maintainers; [ parras ];
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};
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}
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