mlpack: add package (#3011)

* mlpack: add package

* mlpack: remove empty lines

* mlpack: add license

* mlpack: add limits

* mlpack: add stb

* mlpack: add limits for windows

* mlpack: remove unneeded cxx flags

* mlpack: fix license

* mlpack: add openmp config

* mlpack: add_options

* mlpack: add openmp llvm for windows

* mlpack: set option openmp to default true

* mlpack: remove port and copy files

packages/m/mlpack/xmake.lua

@@ -0,0 +1,48 @@
+package("mlpack")
+    set_kind("library", {headeronly = true})
+    set_homepage("https://www.mlpack.org/")
+    set_description("mlpack: a fast, header-only C++ machine learning library")
+    set_license("BSD-3-Clause")
+
+    add_urls("https://github.com/mlpack/mlpack/archive/refs/tags/$(version).tar.gz",
+             "https://github.com/mlpack/mlpack.git")
+
+    add_versions("4.3.0", "08cd54f711fde66fc3b6c9db89dc26776f9abf1a6256c77cfa3556e2a56f1a3d")
+
+    if is_plat("linux") then
+        add_syslinks("m", "pthread")
+    end
+
+    add_configs("openmp", {description = "Enable OpenMP", default = true, type = "boolean"})
+
+    add_deps("armadillo", "cereal", "ensmallen", "stb")
+
+    on_load(function(package)
+        if package:config("openmp") then
+            if is_plat("windows") then
+                package:add("deps", "openmp", {configs = { feature = "llvm" }})
+            else
+                package:add("deps", "openmp")
+            end
+        end
+    end)
+
+    on_install("windows|x64", "windows|x86", "macosx", "linux", function (package)
+        os.cp("src/mlpack/methods", package:installdir("include/mlpack"))
+        os.cp("src/mlpack/core", package:installdir("include/mlpack"))
+        os.cp("src/mlpack/*.hpp", package:installdir("include/mlpack"))
+        os.cp("src/mlpack.hpp", package:installdir("include"))
+    end)
+
+    on_test(function (package)
+        assert(package:check_cxxsnippets({test = [[
+            #include <mlpack.hpp>
+            using namespace mlpack;
+            void test() {
+                arma::mat data;
+                arma::rowvec responses;
+                LinearRegression lr(data, responses);
+                arma::vec parameters = lr.Parameters();
+            }
+        ]]}, {configs = {languages = "cxx17"}}))
+    end)