autowrap 0.2.2

Wrap existing D code for use in other languages


To use this package, run the following command in your project's root directory:

Manual usage
Put the following dependency into your project's dependences section:


This package provides sub packages which can be used individually:

autowrap:reflection - Reflect on modules to access functions and data types

autowrap:python - Wrap existing D code for use in python

autowrap:excel - Wrap existing D code for use in Excel

autowrap

Build Status

Wrap existing D code for use in other environments such as Python and Excel.

About

There are projects already to make it possible to use D code from Python and from Excel.

In PyD, the functions and data structures must be registered manually, and while the same isn't true of excel-d, the latter wraps everything in the modules reflected on. When writing code specifically for Excel, that is clearly what the user wants (and if not it can be made private). When wrapping pre-existing D code, however, it makes sense to opt-in instead by requiring functions to be wrapped to be marked export. If one wants to wrap all functions regardless of export, use version=AutowrapAlwaysExport.

There is ppyd that makes the effort required to use pyd a lot less but that requires using a UDA. Again, when writing code specifically for Python use this makes sense, but adds a dependency that "dirties" pre-existing D code.

This dub package makes it possible to wrap pre-existing D code "from the outside", imposing no dependencies on the aforementioned body of work.

autowrap also does away with the boilerplate necessary to creating a Python extension with PyD. Things should just work.

To wrap for Python, make a dub dynamicLibrary project with one file:

import autowrap.python;
mixin(
    wrapAll(
        LibraryName("mylibrary"),
        Modules("my.module1", "my.module2", /* ... */),
    )
);

Assuming the dub package name is also "mylibrary", you should get libmylibrary.so/mylibrary.dll. If the former, rename it to mylibrary.so and you'll be able to use it from Python:

import mylibrary

mylibrary.func1()

The camelCase D functions are wrapped by snake_case Python functions, but struct members have the same names.

It is also possible to wrap all functions regardless of their export status on a module-by-module basis. To do so, instead of using a string to designate the module, do this instead:

Modules("my.module1", Module("my.module2", Yes.alwaysExport))

To wrap for Excel:

import autowrap.excel;

mixin(
    wrapAll!(
        "my.module1", "my.module2", /* ... */
    )
);

The camelCase D functions will be PascalCase in Excel.

Python versions

Since autowrap depends on PyD, the version of python to use must be specified. You can either specify the configuration explicity, e.g. subConfiguration "autowrap:python" "python36" or you can use the default env configuration. In order to build using the env configuration your must first set the relevant environment variables using the pyd_set_env_vars.{sh,bat} scripts, which you can copy to your current working directory by running dub run pyd:setup. See the pyd docs for more information.

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Authors:
  • Atila Neves
Sub packages:
autowrap:reflection, autowrap:python, autowrap:excel
Dependencies:
autowrap:reflection, autowrap:python, autowrap:excel
Versions:
0.8.1 2023-Jun-20
0.8.0 2023-Jun-14
0.7.0 2022-Oct-10
0.6.7 2022-Sep-29
0.6.6 2022-Aug-29
Show all 55 versions
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Short URL:
autowrap.dub.pm