openpathsampling.high_level.network.TransitionNetwork

class openpathsampling.high_level.network.TransitionNetwork

Subclasses of TransitionNetwork are the main way to set up calculations

sampling_ensembles

all_ensembles

sampling_transitions

__init__()

Methods

__init__()
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
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
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
all_ensembles	All ensembles in the sampling transitions, including special ensembles.
analysis_ensembles	Ensembles from the analysis transitions, excluding special ensembles.
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
sampling_ensembles	Ensembles from the sampling transitions, excluding special ensembles.
sampling_transitions	The transitions used in sampling