def _represent_sequences(dumper: RegressionYamlDumper, data):
if isinstance(data, SupportsAsDict):
data = dict(data._asdict())
else:
data = list(data)
return dumper.represent_data(data)
def _represent_captureresult(dumper: RegressionYamlDumper, data):
data = dict(out=data.out.splitlines(), err=data.err.splitlines())
return dumper.represent_data(data)
def deco(representer_fn: _C) -> _C:
for dtype in data_type:
RegressionYamlDumper.add_custom_yaml_representer(
dtype, representer_fn)
return representer_fn
def _represent_mappings(dumper: RegressionYamlDumper, data):
data = dict(data)
return dumper.represent_data(data)
def _represent_pathlib(dumper: RegressionYamlDumper,
data: pathlib.PurePath):
return dumper.represent_str(data.as_posix())
def _represent_float_like(dumper: RegressionYamlDumper, data):
return dumper.represent_float(float(data))
def represent_readme_or_license(
dumper: RegressionYamlDumper,
data: Union[Readme, License],
):
return dumper.represent_dict(data.to_dict())
def represent_string_subclasses(dumper: RegressionYamlDumper, data: str):
return dumper.represent_str(str(data))
def represent_packaging_types(
dumper: RegressionYamlDumper,
data: Union[Version, Requirement, Marker, SpecifierSet],
):
return dumper.represent_str(str(data))