PyYAML-ft

A full-featured YAML processing framework for Python with support for free-threading

Why a fork?

PEP 703 introduced free-threaded Python as a separate build of CPython 3.13. Thread-safety issues that might have otherwise gone unnoticed are now much easier to trigger because of the absence of protection from the GIL. Also, because the free-threaded build is ABI-incompatible, extension modules need to be separate, free-threaded wheels and declare support for it.

The PyYAML maintainers decided to not port PyYAML to the free-threaded build before the latter, along with Cython support for it, has been tested more extensively in real-world applications. Our rationale with this fork is to implement support for the free-threaded build, so that PyYAML can be tested with it by its users, even before the port is merged upstream.

Differences compared with upstream

• This fork uses Cython 3.1.0rc1 which supports the free-threaded build, but is still in beta. Its support for the free-threaded build is also still experimental.

• add_constructor, add_representer and add_*resolver now all use thread-local registries, so you will have to explicitly register your custom constrcutors, representers and resolvers in each thread. Here's a small test showcasing that:

  import io
  import threading
  import yaml
  
  
  class Dice:
      def __init__(self, first, second):
          self.first = first
          self.second = second
      def __repr__(self):
          return f"Dice({self.first}, {self.second})"
  
  
  def construct_dice(constructor, node):
      mapping = constructor.construct_mapping(node)
      return Dice(**mapping)
  
  
  def load_dice():
      yamlcode = io.StringIO("""\
  - !dice
    first: 1
    second: 6
  - !dice
    first: 4
    second: 4
  """)
      print(f"Thread {threading.current_thread().name}")
      try:
          objs = yaml.load(yamlcode, Loader=yaml.CLoader)
          print(f"\t{objs=}")
      except Exception as e:
          print(f"\tException occurred: {e!s}")
  
  yaml.add_constructor("!dice", construct_dice, Loader=yaml.CLoader)
  load_dice()
  
  t = threading.Thread(target=load_dice)
  t.start()
  t.join()

  Running the above script gives the following:

  ❯ python3.13t tmp/t.py
  Thread MainThread
          objs=[Dice(1, 6), Dice(4, 4)]
  Thread Thread-1 (load_dice)
          Exception occurred: could not determine a constructor for the tag '!dice'
    in "<file>", line 1, column 3

  If you see new errors in multithreaded programs using PyYAML-ft that work with PyYAML, you may need to add calls to yaml.add_constructor, yaml.add_representer yaml.add_implicit_resolver or yaml.add_path_resolver in your thread worker function or worker initialization function.

Python versions support

Because PyYAML-ft is only aiming to exist for as long as upstream PyYAML does not support the free-threaded build, we recommend that users only conditionally switch to PyYAML-ft.

At this time, PyYAML-ft only supports Python 3.13 and 3.13t (i.e. the free-threaded build of 3.13). To switch to it, you can do the following in your requirements.txt file:

...
PyYAML; python_version < '3.13'
PyYAML-ft; python_version >= '3.13'

If you're developing a library that depends on PyYAML and you're using pyproject.toml to specify your dependencies, you can do the following:

dependencies = [
  ...,
  "PyYAML; python_version<'3.13'",
  "PyYAML-ft; python_version>='3.13'",
]

Installation

To install, type pip install PyYAML-ft.

When LibYAML bindings are installed (enabled by default), you may use the fast LibYAML-based parser and emitter as follows:

>>> yaml.load(stream, Loader=yaml.CLoader)
>>> yaml.dump(data, Dumper=yaml.CDumper)

If you don't trust the input YAML stream, you should use:

>>> yaml.safe_load(stream)

Building from source and testing

To build PyYAML-ft from source:

1. Clone the fork repository with git clone https://github.com/Quansight-Labs/pyyaml-ft.

2. Create a new virtual environment with python3.13 -m venv .venv.

3. Run source .venv/bin/activate to activate your new virtual environment.

4. Install the build dependencies with:

   python3.13 -m pip install Cython==3.1.0rc1 setuptools wheel

5. Run python3.13 -m pip install --no-build-isolation .. This will build PyYAML-ft from source and install it in the newly created virtual environment. By default, the installation process will try to install the LibYAML bindings as well, but will fail silently if it cannot and instead use the pure-Python version.

   To get the latest version of the LibYAML bindings, you can use the libyaml.sh installation script:

   ./packaging/build/libyaml.sh  # This will install the bindings

   After the bindings are installed, you can force installing the bindings with the following invocation:

   PYYAML_FORCE_CYTHON=1 \
   PYYAML_FORCE_LIBYAML=1 \
   CFLAGS="-Ilibyaml/include" \
   LDFLAGS="-Llibyaml/src/.libs" \
   python -m pip install -v --no-build-isolation .

To test PyYAML-ft:

1. Install pytest with python3.13 -m pip install pytest.

2. Run the tests by just invoking pytest in the root directory of the project.

3. Optionally, you can also run the free-threading tests with pytest-run-parallel:

   python3.13 -m pip install pytest-run-parallel
   python3.13 -m pytest --parallel-threads=auto --iterations=20 tests/free_threading

Further Information

• For more information, check the PyYAML homepage.

• PyYAML tutorial and reference.

• Discuss PyYAML with the maintainers on Matrix at https://matrix.to/#/#pyyaml:yaml.io or IRC #pyyaml irc.libera.chat

• Submit bug reports and feature requests to the PyYAML-ft bug tracker.

License

The PyYAML module was written by Kirill Simonov [email protected]. It is currently maintained by the YAML and Python communities.

PyYAML-ft was forked by Quansight-Labs and is currently maintained by a team of engineers working on ecosystem-wide support for free-threading. It is released under the MIT license.

See the file LICENSE for more details.