openpathsampling.high_level.move_strategy.PoorSingleReplicaStrategy

class openpathsampling.high_level.move_strategy.PoorSingleReplicaStrategy(ensembles=None, group=None, replace=True)

Organizes by ensemble, then readjusts the weights to have a bunch of null moves.

__init__(ensembles=None, group=None, replace=True)

Methods

__init__([ensembles, group, replace])
args()	Return a list of args of the __init__ function of a class
base()	Return the most parent class actually derived from StorableObject
choice_probability(scheme, ensemble_weights, ...)	Get the contributing weights from existing choice probability.
chooser_mover_weights(scheme, ensemble, ...)	Set the weights within each "sorted"-level chooser.
chooser_root_weights(scheme, ...)	Determine the choice probabilities for the root chooser.
count_weaks()	Return number of objects subclassed from StorableObject still in memory
default_weights(scheme)	Set the default weights given the initial scheme.
descendants()	Return a list of all subclassed objects
fix_name()	Set the objects name to be immutable.
from_dict(dct)	Reconstruct an object from a dictionary representaiton
get_ensembles(scheme, ensembles)	Regularizes ensemble input to list of list.
get_parameters(scheme[, list_parameters, ...])	Gather initialization parameters for each mover to be created.
get_per_mover_ensembles(scheme)	Get ensembles for each mover to be created.
get_uuid()
get_weights(scheme, sorted_movers[, ...])	Gets sort_weights and mover_weights dictionaries.
idx(store)	Return the index which is used for the object in the given store.
make_chooser(scheme, mover_weights, choosername)	Make RandomChoiceMover based on the movers and weights in mover_weights.
make_movers(scheme)	Makes the movers associated with this strategy.
named(name)	Name an unnamed object.
objects()	Returns a dictionary of all storable objects
override_weights(weights, override_w)	Overrides weights in a dictionary.
reverse_uuid()
ruuid(uid)
set_observer(active)	(De-)Activate observing creation of storable objects
set_replace(replace)	Sets values for replace_signatures and replace_movers.
to_dict()	Convert object into a dictionary representation
weights_from_choice_probability(scheme, ...)	Get the contributing weights from existing choice probability.

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_group_weights
default_name	Return the default name.
is_named	True if this object has a custom name.
level	The level of this strategy.
name	Return the current name of the object.
observe_objects