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()