Configuration for a single experiment run.
A run config bundles the callable to execute, the name used for output,
optional arguments and keyword arguments, and persistence settings for
saving generated results to disk.
Source code in digneapy/lab/_run.py
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52 | @dataclass(slots=True)
class RunConfig:
"""Configuration for a single experiment run.
A run config bundles the callable to execute, the name used for output,
optional arguments and keyword arguments, and persistence settings for
saving generated results to disk.
"""
call_fn: RunFn
name: str
args: tuple[Any, ...] = field(default_factory=tuple)
kwargs: Mapping[str, Any] = field(default_factory=dict)
save_kwargs: Mapping[str, Any] = field(default_factory=dict)
def __call__(self, result_directory: Optional[Path] = None) -> GenerationResult:
"""Execute the configured callable and optionally persist the result.
Returns:
The generation result produced by the wrapped callable.
"""
result: GenerationResult = self.call_fn(*self.args, **self.kwargs)
if result_directory is not None:
save_results_to_files(
filename_pattern=self.name,
base_dir=result_directory,
result=result,
**self.save_kwargs,
)
return result
|
__call__(result_directory=None)
Execute the configured callable and optionally persist the result.
| Returns: |
-
GenerationResult
–
The generation result produced by the wrapped callable.
|
Source code in digneapy/lab/_run.py
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52 | def __call__(self, result_directory: Optional[Path] = None) -> GenerationResult:
"""Execute the configured callable and optionally persist the result.
Returns:
The generation result produced by the wrapped callable.
"""
result: GenerationResult = self.call_fn(*self.args, **self.kwargs)
if result_directory is not None:
save_results_to_files(
filename_pattern=self.name,
base_dir=result_directory,
result=result,
**self.save_kwargs,
)
return result
|