default

Reducer definition for achieving columnsflow’s default reduction behavior in three steps:

• remove unwanted events (using “event” mask of selection results)

• create new collections (using “objects” mapping of selection results)

• only keep certain columns after the reduction

Classes:

cf_default_keep_columns(*args, **kwargs)
cf_default(*args, **kwargs)

class cf_default_keep_columns(*args, **kwargs)

Bases: Reducer

Attributes:

cache_instances
data_only
mc_only

Methods:

call_func(events, selection, **kwargs)	Reducer that does nothing but to define the columns to keep after the reduction in a backwards-compatible way using the "keep_columns" auxiliary config field as was the default in previous columnflow versions.
post_init_func(task, **kwargs)
skip_func(**kwargs)
update_cls_dict(cls_name, cls_dict, get_attr)

cache_instances = True

call_func(events, selection, **kwargs)

Reducer that does nothing but to define the columns to keep after the reduction in a backwards-compatible way using the “keep_columns” auxiliary config field as was the default in previous columnflow versions.

Return type:

Array

data_only = False

mc_only = False

post_init_func(task, **kwargs)

Return type:

None

skip_func(**kwargs) → bool

Return type:

bool

static update_cls_dict(cls_name, cls_dict, get_attr)

class cf_default(*args, **kwargs)

Bases: Reducer

Attributes:

add_keep_columns
cache_instances
check_used_columns
data_only
mc_only

Methods:

call_func(events, selection, task, **kwargs)
init_func(**kwargs)
post_init_func(task, **kwargs)
skip_func(**kwargs)
update_cls_dict(cls_name, cls_dict, get_attr)

add_keep_columns = True

cache_instances = True

call_func(events, selection, task, **kwargs)

Return type:

Array

check_used_columns = False

data_only = False

init_func(**kwargs)

Return type:

None

mc_only = False

post_init_func(task, **kwargs)

Return type:

None

skip_func(**kwargs) → bool

Return type:

bool

static update_cls_dict(cls_name, cls_dict, get_attr)