airflow_scheduler/.venv/Lib/site-packages/airflow/utils/yaml.py

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"""
Use libyaml for YAML dump/load operations where possible.

If libyaml is available we will use it -- it is significantly faster.

This module delegates all other properties to the yaml module, so it can be used as:

.. code-block:: python
    import airflow.utils.yaml as yaml

And then be used directly in place of the normal python module.
"""

from __future__ import annotations

from typing import TYPE_CHECKING, Any, BinaryIO, TextIO, cast

if TYPE_CHECKING:
    from yaml.error import MarkedYAMLError, YAMLError  # noqa: F401


def safe_load(stream: bytes | str | BinaryIO | TextIO) -> Any:
    """Like yaml.safe_load, but use the C libyaml for speed where we can."""
    # delay import until use.
    from yaml import load as orig

    try:
        from yaml import CSafeLoader as SafeLoader
    except ImportError:
        from yaml import SafeLoader  # type: ignore[assignment, no-redef]

    return orig(stream, SafeLoader)


def dump(data: Any, **kwargs) -> str:
    """Like yaml.safe_dump, but use the C libyaml for speed where we can."""
    # delay import until use.
    from yaml import dump as orig

    try:
        from yaml import CSafeDumper as SafeDumper
    except ImportError:
        from yaml import SafeDumper  # type: ignore[assignment, no-redef]

    return cast(str, orig(data, Dumper=SafeDumper, **kwargs))


def __getattr__(name):
    # Delegate anything else to the yaml module
    import yaml

    if name == "FullLoader":
        # Try to use CFullLoader by default
        getattr(yaml, "CFullLoader", yaml.FullLoader)

    return getattr(yaml, name)