openpathsampling.snapshot_modifier.NoModification

class openpathsampling.snapshot_modifier.NoModification(as_copy=True)

Modifier with no change: “

Parameters:

as_copy (bool, default True) – if True calls return a copy of the snapshot, else the snapshot itself.

__init__(as_copy=True)

Methods

__init__([as_copy])
apply_to_subset(full_array, modified[, ...])	Replaces elements of full_array according to the subset mask
args()	Return a list of args of the __init__ function of a class
base()	Return the most parent class actually derived from StorableObject
count_weaks()	Return number of objects subclassed from StorableObject still in memory
descendants()	Return a list of all subclassed objects
extract_subset(full_array[, subset])	Extracts elements from full_array according to self.subset_mask
fix_name()	Set the objects name to be immutable.
from_dict(dct)	Reconstruct an object from a dictionary representaiton
get_uuid()
idx(store)	Return the index which is used for the object in the given store.
named(name)	Name an unnamed object.
objects()	Returns a dictionary of all storable objects
probability_ratio(old_snapshot, new_snapshot)	This modifier does not alter the snapshot, so equal probability.
reverse_uuid()
ruuid(uid)
set_observer(active)	(De-)Activate observing creation of storable objects
to_dict()	Convert object into a dictionary representation

Attributes

ACTIVE_LONG
CREATION_COUNT
INSTANCE_UUID
base_cls	Return the base class
base_cls_name	Return the name of the base class
cls	Return the class name as a string
default_name	Return the default name.
is_named	True if this object has a custom name.
name	Return the current name of the object.
observe_objects