Settings View Source CXX integration

Zigler offers several tools to integrate your code with C and C++ code.

compiling C using the C toolchain

If you want to compile C or C++ files using the C and C++ toolchain bundled with the zig programming language, you should include a path to your include directory and a source path or list of source paths to be compiled, via the include_dir and c_src module options.

source paths

source paths may contain a trailing *, which will pull all c or c++ files in that directory, (but not subdirectory)

included.h

// forwarded function definition
int plus_one(int);

src/src.c

int plus_one(int value) {
    return value + 1;
}

defmodule CompilingC do
  use ExUnit.Case, async: true
  use Zig, 
    otp_app: :zigler,
    include_dir: "include", 
    c_src: "src/*"

  ~Z"""
  const c = @cImport(@cInclude("included.h"));

  pub const plus_one = c.plus_one;
  """

  test "c plus one" do
    assert 48 = plus_one(47)
  end
end

linking against a C abi library

This example shows you how to link in a system library (which can be .a, .so, .obj, or .dll). Zig will resolve the extension based on the operating system native rules. To use the functions in the library, there must also be an associated .h file with extern functions.

In this example we'll use the cblas_dasum function, which takes a length, an pointer to double-precision floating point list, and a integer stride. The result is a sum of the numbers in the list.

The rules for collections apply to functions that are directly imported from C files.

if {:unix, :linux} == :os.type() do
# currently we only have access to the BLAS library on linux CI actions, so
# it's unavailable for other operating systems for automated testing purposes

  defmodule LibraryTest do
    use ExUnit.Case, async: true
    use Zig, 
      otp_app: :zigler,
      link_lib: {:system, "blas"}

    ~Z"""
    pub const dasum = @cImport(@cInclude("cblas.h")).cblas_dasum;
    """

    test "dasum" do
      assert 6.0 == dasum(3, [1.0, 2.0, 3.0], 1)
    end
  end

linking against libcpp:

if you need to link against libcpp, the library has a special-cased option: link_libcpp: true

Easy-C

It's also possible to also automatically create nifs without writing zig function shims. This works either with linking an external library with link_lib or building your own code with c_src.

Because the C ABI exposes all functions publically in a global namespace, we can't use zigler's automatic detection to decide which functions to surface.

Here are the steps to using easy_c:

• declare which header file you'd like to use with the easy_c module option
  • you may want to add include_dir if the header isn't a system C header.
• add a link_lib or c_src option to make sure that the functions are built.
• declare which functions you'd like to hoist into the module.

In this example we'll use the cblas_daxpy function, which takes a length, a double-precision a value, a list (x) of double-precision values, a stride for the x values, a list (y) of double-precision values, and a stride for y.

It then calculates the linear transformation ax + y using these vectors.

"in-out" parameters

The y parameter in this function is an "in-out" parameter. Instead of returning a result, the results are written into the y pointer.

to specify that it's an in-out parameter, we put an integer (which is the 0-indexed index of the argument which is the out parameter).

since the returned pointer doesn't have a specified value, we have to specify a length option, which could either be a fixed number, or {:arg, n} where n is the argument index corresponding to a variable length.

We can also use nif options like alias and the return option binary alongside these special easy_c options.

  defmodule EasyCTest do
    use ExUnit.Case, async: true
    use Zig, 
      otp_app: :zigler,
      easy_c: "cblas.h",
      link_lib: {:system, "blas"},
      nifs: [
        cblas_daxpy: [return: [4, length: {:arg, 0}]],
        cblas_daxpy_bin: [alias: :cblas_daxpy, return: [4, :binary, length: {:arg, 0}]]
      ]

    test "daxpy as a list" do
      assert [7.0, 11.0, 15.0] == cblas_daxpy(3, 3.0, [1.0, 2.0, 3.0], 1, [4.0, 5.0, 6.0], 1)
    end

    test "daxpy as a binary" do
      assert <<7.0::float-native, 11.0::float-native, 15.0::float-native>> ==
               cblas_daxpy_bin(3, 3.0, [1.0, 2.0, 3.0], 1, [4.0, 5.0, 6.0], 1)
    end
  end
end
# module