Storage Functions

openpathsampling.storage

>>> import openpathsampling as paths
>>> mover = paths.storage.Storage()

storages

These are the leaves of a path tree. The atomic moved that can be made

Storage(filename[, mode, template, fallback]) A netCDF4 wrapper to store trajectories based on snapshots of an OpenMM simulation.
AnalysisStorage(filename[, caching_mode]) Open a storage in read-only and do caching useful for analysis.

stores

stores.CVStore() ObjectStore to store a dict with StorableObject : value
stores.SampleStore()
stores.MoveChangeStore()
stores.MCStepStore()
stores.SampleStore()
stores.SampleSetStore()
stores.TrajectoryStore()
stores.SnapshotWrapperStore() A Store to store arbitrary snapshots
stores.PathSimulatorStore()