columnflow.production
#
Tools for producing new array columns (e.g. high-level variables).
Classes:
|
Base class for all producers. |
Functions:
|
Decorator for creating a new |
- class Producer(*args, requires_func=law.util.no_value, setup_func=law.util.no_value, sandbox=law.util.no_value, call_force=law.util.no_value, pick_cached_result=law.util.no_value, inst_dict=None, **kwargs)[source]#
Bases:
TaskArrayFunction
Base class for all producers.
Attributes:
Methods:
producer
([func, bases, mc_only, data_only, ...])Decorator for creating a new
Producer
subclass with additional, optional bases and attaching the decorated function to it ascall_func()
.- exposed = True#
- classmethod producer(func=None, bases=(), mc_only=False, data_only=False, nominal_only=False, shifts_only=None, **kwargs)[source]#
Decorator for creating a new
Producer
subclass with additional, optional bases and attaching the decorated function to it ascall_func()
.When mc_only (data_only) is True, the producer is skipped and not considered by other calibrators, selectors and producers in case they are evaluated on a
order.Dataset
(using thedataset_inst
attribute) whoseis_mc
(is_data
) attribute is False.When nominal_only is True or shifts_only is set, the producer is skipped and not considered by other calibrators, selectors and producers in case they are evaluated on a
order.Shift
(using theglobal_shift_inst
attribute) whose name does not match.All additional kwargs are added as class members of the new subclasses.
- Parameters:
func (Callable | None, default:
None
) – Function to be wrapped and integrated into newProducer
class.bases (tuple, default:
()
) – Additional bases for the newProducer
.mc_only (bool, default:
False
) – Boolean flag indicating that thisProducer
should only run on Monte Carlo simulation and skipped for real data.data_only (bool, default:
False
) – Boolean flag indicating that thisProducer
should only run on real data and skipped for Monte Carlo simulation.nominal_only (bool, default:
False
) – Boolean flag indicating that thisProducer
should only run on the nominal shift and skipped on any other shifts.shifts_only (Sequence[str] | set[str] | None, default:
None
) – Shift names that thisProducer
should only run on, skipping all other shifts.
- Return type:
DerivableMeta | Callable
- Returns:
New
Producer
subclass.
- producer(func=None, bases=(), mc_only=False, data_only=False, nominal_only=False, shifts_only=None, **kwargs)#
Decorator for creating a new
Producer
subclass with additional, optional bases and attaching the decorated function to it ascall_func()
.When mc_only (data_only) is True, the producer is skipped and not considered by other calibrators, selectors and producers in case they are evaluated on a
order.Dataset
(using thedataset_inst
attribute) whoseis_mc
(is_data
) attribute is False.When nominal_only is True or shifts_only is set, the producer is skipped and not considered by other calibrators, selectors and producers in case they are evaluated on a
order.Shift
(using theglobal_shift_inst
attribute) whose name does not match.All additional kwargs are added as class members of the new subclasses.
- Parameters:
func (Callable | None, default:
None
) – Function to be wrapped and integrated into newProducer
class.bases (tuple, default:
()
) – Additional bases for the newProducer
.mc_only (bool, default:
False
) – Boolean flag indicating that thisProducer
should only run on Monte Carlo simulation and skipped for real data.data_only (bool, default:
False
) – Boolean flag indicating that thisProducer
should only run on real data and skipped for Monte Carlo simulation.nominal_only (bool, default:
False
) – Boolean flag indicating that thisProducer
should only run on the nominal shift and skipped on any other shifts.shifts_only (Sequence[str] | set[str] | None, default:
None
) – Shift names that thisProducer
should only run on, skipping all other shifts.
- Return type:
DerivableMeta | Callable
- Returns:
New
Producer
subclass.