def run_upto(step, **keywords):
"""Runs the simulation up to a given time step number.
Args:
step (int): Final time step of the simulation which to run
keywords: Catch for all keyword arguments to pass on to :py:func:`run()`
:py:func:`run_upto()` runs the simulation, but only until it reaches the given time step. If the simulation has already
reached the specified step, a message is printed and no simulation steps are run.
It accepts all keyword options that :py:func:`run()` does.
Examples::
run_upto(1000)
run_upto(10000, profile=True)
run_upto(1e9, limit_hours=11)
"""
if 'quiet' in keywords and not keywords['quiet']:
util.print_status_line()
# check if initialization has occurred
if not init.is_initialized():
context.msg.error("Cannot run before initialization\n")
raise RuntimeError('Error running')
# determine the number of steps to run
step = int(step)
cur_step = context.current.system.getCurrentTimeStep()
if cur_step >= step:
context.msg.notice(
2,
"Requesting run up to a time step that has already passed, doing nothing\n"
)
return
n_steps = step - cur_step
util.quiet_status()
run(n_steps, **keywords)
util.unquiet_status()
def run_upto(step, **keywords):
"""Runs the simulation up to a given time step number.
Args:
step (int): Final time step of the simulation which to run
keywords: Catch for all keyword arguments to pass on to :py:func:`run()`
:py:func:`run_upto()` runs the simulation, but only until it reaches the given time step. If the simulation has already
reached the specified step, a message is printed and no simulation steps are run.
It accepts all keyword options that :py:func:`run()` does.
Examples::
run_upto(1000)
run_upto(10000, profile=True)
run_upto(1e9, limit_hours=11)
"""
if 'quiet' in keywords and not keywords['quiet']:
util.print_status_line();
# check if initialization has occurred
if not init.is_initialized():
context.msg.error("Cannot run before initialization\n");
raise RuntimeError('Error running');
# determine the number of steps to run
step = int(step);
cur_step = context.current.system.getCurrentTimeStep();
if cur_step >= step:
context.msg.notice(2, "Requesting run up to a time step that has already passed, doing nothing\n");
return;
n_steps = step - cur_step;
util.quiet_status();
run(n_steps, **keywords);
util.unquiet_status();
def run(tsteps, profile=False, limit_hours=None, limit_multiple=1, callback_period=0, callback=None, quiet=False):
""" Runs the simulation for a given number of time steps.
Args:
tsteps (int): Number of time steps to advance the simulation.
profile (bool): Set to True to enable high level profiling output at the end of the run.
profile limit_hours (float): If not None, limit this run to a given number of hours.
limit_multiple (int): When stopping the run due to walltime limits, only stop when the time step is a
multiple of limit_multiple.
callback (callable): Sets a Python function to be called regularly during a run.
callback_period (int): Sets the period, in time steps, between calls made to ``callback``.
quiet (bool): Set to True to disable the status information printed to the screen by the run.
Example::
hoomd.run(10)
hoomd.run(10e6, limit_hours=1.0/3600.0, limit_multiple=10)
hoomd.run(10, profile=True)
hoomd.run(10, quiet=True)
hoomd.run(10, callback_period=2, callback=lambda step: print(step))
Execute the :py:func:`run()` command to advance the simulation forward in time.
During the run, all previously specified analyzers, updaters and the integrator
are executed at the specified regular periods.
After :py:func:`run()` completes, you may change parameters of the simulation
and continue the simulation by executing :py:func:`run()` again. Time steps are added
cumulatively, so calling ``run(1000)`` and then ``run(2000)`` would run the simulation
up to time step 3000.
:py:func:`run()` cannot be executed before the system is initialized. In most
cases, :py:func:`run()` should only be called after after pair forces, bond forces,
and an integrator are specified.
When ``profile`` is **True**, a detailed breakdown of how much time was spent in each
portion of the calculation is printed at the end of the run. Collecting this timing information
slows the simulation.
**Wallclock limited runs:**
There are a number of mechanisms to limit the time of a running hoomd script. Use these in a job
queuing environment to allow your script to cleanly exit before reaching the system enforced walltime limit.
Force :py:func:`run()` to end only on time steps that are a multiple of ``limit_mulitple``. Set this to the period at which you
dump restart files so that you always end a :py:func:`run()` cleanly at a point where you can restart from. Use
``phase=0`` on logs, file dumps, and other periodic tasks. With ``phase=0``, these tasks will continue on the same
sequence regardless of the restart period.
Set the environment variable ``HOOMD_WALLTIME_STOP`` prior to starting a hoomd script to stop the :py:func:`run()` at a given wall
clock time. :py:func:`run()` monitors performance and tries to ensure that it will end *before* ``HOOMD_WALLTIME_STOP``. This
environment variable works even with multiple stages of runs in a script (use :py:func:`run_upto()`. Set the variable to
a unix epoch time. For example in a job script that should run 12 hours, set ``HOOMD_WALLTIME_STOP`` to 12 hours from
now, minus 10 minutes to allow for job cleanup::
export HOOMD_WALLTIME_STOP=$((`date +%s` + 12 * 3600 - 10 * 60))
When using ``HOOMD_WALLTIME_STOP``, :py:func:`run()` will throw the exception ``WalltimeLimitReached`` if it exits due to the walltime
limit.
``limit_hours`` is another way to limit the length of a :py:func:`run()`. Set it to a number of hours (use fractional values for
minutes) to limit this particular :py:func:`run()` to that length of time. This is less useful than ``HOOMD_WALLTIME_STOP`` in a
job queuing environment.
**Callbacks:**
If ``callback`` is set to a Python function then this function will be called regularly
at ``callback_period`` intervals. The callback function must receive one integer as argument
and can return an integer. The argument passed to the callback is the current time step number.
If the callback function returns a negative number, the run is immediately aborted.
If ``callback_period`` is set to 0 (the default) then the callback is only called
once at the end of the run. Otherwise the callback is executed whenever the current
time step number is a multiple of ``callback_period``.
"""
if not quiet:
util.print_status_line();
# check if initialization has occured
if not init.is_initialized():
context.msg.error("Cannot run before initialization\n");
raise RuntimeError('Error running');
if context.current.integrator is None:
context.msg.warning("Starting a run without an integrator set");
else:
context.current.integrator.update_forces();
context.current.integrator.update_methods();
context.current.integrator.update_thermos();
# update autotuner parameters
context.current.system.setAutotunerParams(context.options.autotuner_enable, int(context.options.autotuner_period));
for logger in context.current.loggers:
logger.update_quantities();
context.current.system.enableProfiler(profile);
context.current.system.enableQuietRun(quiet);
# update all user-defined neighbor lists
for nl in context.current.neighbor_lists:
nl.update_rcut()
nl.update_exclusions_defaults()
# detect 0 hours remaining properly
if limit_hours == 0.0:
context.msg.warning("Requesting a run() with a 0 time limit, doing nothing.\n");
return;
if limit_hours is None:
limit_hours = 0.0
if not quiet:
context.msg.notice(1, "** starting run **\n");
context.current.system.run(int(tsteps), callback_period, callback, limit_hours, int(limit_multiple));
if not quiet:
context.msg.notice(1, "** run complete **\n");
def run(tsteps, profile=False, limit_hours=None, limit_multiple=1, callback_period=0, callback=None, quiet=False):
""" Runs the simulation for a given number of time steps.
Args:
tsteps (int): Number of time steps to advance the simulation.
profile (bool): Set to True to enable high level profiling output at the end of the run.
limit_hours (float): If not None, limit this run to a given number of hours.
limit_multiple (int): When stopping the run due to walltime limits, only stop when the time step is a
multiple of limit_multiple.
callback (`callable`): Sets a Python function to be called regularly during a run.
callback_period (int): Sets the period, in time steps, between calls made to ``callback``.
quiet (bool): Set to True to disable the status information printed to the screen by the run.
Example::
hoomd.run(10)
hoomd.run(10e6, limit_hours=1.0/3600.0, limit_multiple=10)
hoomd.run(10, profile=True)
hoomd.run(10, quiet=True)
hoomd.run(10, callback_period=2, callback=lambda step: print(step))
Execute the :py:func:`run()` command to advance the simulation forward in time.
During the run, all previously specified analyzers, updaters and the integrator
are executed at the specified regular periods.
After :py:func:`run()` completes, you may change parameters of the simulation
and continue the simulation by executing :py:func:`run()` again. Time steps are added
cumulatively, so calling ``run(1000)`` and then ``run(2000)`` would run the simulation
up to time step 3000.
:py:func:`run()` cannot be executed before the system is initialized. In most
cases, :py:func:`run()` should only be called after after pair forces, bond forces,
and an integrator are specified.
When `profile` is **True**, a detailed breakdown of how much time was spent in each
portion of the calculation is printed at the end of the run. Collecting this timing information
slows the simulation.
**Wallclock limited runs:**
There are a number of mechanisms to limit the time of a running hoomd script. Use these in a job
queuing environment to allow your script to cleanly exit before reaching the system enforced walltime limit.
Force :py:func:`run()` to end only on time steps that are a multiple of ``limit_multiple``. Set this to the period at which you
dump restart files so that you always end a :py:func:`run()` cleanly at a point where you can restart from. Use
``phase=0`` on logs, file dumps, and other periodic tasks. With ``phase=0``, these tasks will continue on the same
sequence regardless of the restart period.
Set the environment variable ``HOOMD_WALLTIME_STOP`` prior to starting a hoomd script to stop the :py:func:`run()` at a given wall
clock time. :py:func:`run()` monitors performance and tries to ensure that it will end *before* ``HOOMD_WALLTIME_STOP``. This
environment variable works even with multiple stages of runs in a script (use :py:func:`run_upto()`. Set the variable to
a unix epoch time. For example in a job script that should run 12 hours, set ``HOOMD_WALLTIME_STOP`` to 12 hours from
now, minus 10 minutes to allow for job cleanup::
export HOOMD_WALLTIME_STOP=$((`date +%s` + 12 * 3600 - 10 * 60))
When using ``HOOMD_WALLTIME_STOP``, :py:func:`run()` will throw the exception ``WalltimeLimitReached`` if it exits due to the walltime
limit.
``limit_hours`` is another way to limit the length of a :py:func:`run()`. Set it to a number of hours (use fractional values for
minutes) to limit this particular :py:func:`run()` to that length of time. This is less useful than ``HOOMD_WALLTIME_STOP`` in a
job queuing environment.
**Callbacks:**
If ``callback`` is set to a Python function then this function will be called regularly
at ``callback_period`` intervals. The callback function must receive one integer as argument
and can return an integer. The argument passed to the callback is the current time step number.
If the callback function returns a negative number, the run is immediately aborted.
If ``callback_period`` is set to 0 (the default) then the callback is only called
once at the end of the run. Otherwise the callback is executed whenever the current
time step number is a multiple of ``callback_period``.
"""
if not quiet:
util.print_status_line();
# check if initialization has occurred
if not init.is_initialized():
context.msg.error("Cannot run before initialization\n");
raise RuntimeError('Error running');
if context.current.integrator is None:
context.msg.warning("Starting a run without an integrator set");
else:
context.current.integrator.update_forces();
context.current.integrator.update_methods();
context.current.integrator.update_thermos();
# update autotuner parameters
context.current.system.setAutotunerParams(context.options.autotuner_enable, int(context.options.autotuner_period));
for logger in context.current.loggers:
logger.update_quantities();
context.current.system.enableProfiler(profile);
context.current.system.enableQuietRun(quiet);
# update all user-defined neighbor lists
for nl in context.current.neighbor_lists:
nl.update_rcut()
nl.update_exclusions_defaults()
# detect 0 hours remaining properly
if limit_hours == 0.0:
context.msg.warning("Requesting a run() with a 0 time limit, doing nothing.\n");
return;
if limit_hours is None:
limit_hours = 0.0
if not quiet:
context.msg.notice(1, "** starting run **\n");
context.current.system.run(int(tsteps), callback_period, callback, limit_hours, int(limit_multiple));
if not quiet:
context.msg.notice(1, "** run complete **\n");
