CheckpointReporter

class simtk.openmm.app.checkpointreporter.CheckpointReporter(file, reportInterval)

CheckpointReporter saves periodic checkpoints of a simulation. The checkpoints will overwrite one another – only the last checkpoint will be saved in the file.

To use it, create a CheckpointReporter, then add it to the Simulation’s list of reporters. To load a checkpoint file and continue a simulation, use the following recipe:

>>> with open('checkput.chk', 'rb') as f:
>>>     simulation.context.loadCheckpoint(f.read())

Notes: A checkpoint contains not only publicly visible data such as the particle positions and velocities, but also internal data such as the states of random number generators. Ideally, loading a checkpoint should restore the Context to an identical state to when it was written, such that continuing the simulation will produce an identical trajectory. This is not strictly guaranteed to be true, however, and should not be relied on. For most purposes, however, the internal state should be close enough to be reasonably considered equivalent.

A checkpoint contains data that is highly specific to the Context from which it was created. It depends on the details of the System, the Platform being used, and the hardware and software of the computer it was created on. If you try to load it on a computer with different hardware, or for a System that is different in any way, loading is likely to fail. Checkpoints created with different versions of OpenMM are also often incompatible. If a checkpoint cannot be loaded, that is signaled by throwing an exception.

__init__(file, reportInterval)

Create a CheckpointReporter.

Parameters:

• file (string or open file object) – The file to write to. Any current contents will be overwritten.
• reportInterval (int) – The interval (in time steps) at which to write checkpoints.

Methods

__init__(file, reportInterval)	Create a CheckpointReporter.
describeNextReport(simulation)	Get information about the next report this object will generate.
report(simulation, state)	Generate a report.

describeNextReport(simulation)

Get information about the next report this object will generate.

Parameters:simulation (Simulation) – The Simulation to generate a report for Returns:A five element tuple. The first element is the number of steps until the next report. The remaining elements specify whether that report will require positions, velocities, forces, and energies respectively. Return type:tuple

__delattr__

x.__delattr__(‘name’) <==> del x.name

__format__()

default object formatter

__getattribute__

x.__getattribute__(‘name’) <==> x.name

__hash__

__reduce__()

helper for pickle

__reduce_ex__()

helper for pickle

__repr__

__setattr__

x.__setattr__(‘name’, value) <==> x.name = value

__sizeof__() → int

size of object in memory, in bytes

__str__

report(simulation, state)

Generate a report.

Parameters:

• simulation (Simulation) – The Simulation to generate a report for
• state (State) – The current state of the simulation