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# Trajectory actions in Cython
#
# Written by Konrad Hinsen
#
import MMTK_trajectory
cdef extern from "cobject.h":
object PyCObject_FromVoidPtr(void *pointer, void (*destruct)(void*))
void *PyCObject_AsVoidPtr(object)
# The function run_action implements the C interface for trajectory action
# functions, mapping it to the nicer OO interface of the Cython class.
cdef run_action(PyTrajectoryVariable *dynamic_data,
TrajectoryAction action,
int step,
void **scratch,
object universe):
# Every trajectory generator has its own scratch pointer,
# therefore this can be used as an ID for the generator.
if step == -1:
return action.initialize(universe, <long>scratch, dynamic_data)
elif step == -2:
return action.finalize(universe, <long>scratch, dynamic_data)
else:
return action.apply(universe, <long>scratch, step, dynamic_data)
# The base class for trajectoy actions
cdef class TrajectoryAction:
def __init__(self, long first, object last, long skip):
self.first = first
if last is None:
self.last = MMTK_trajectory.maxint
else:
self.last = last
self.skip = skip
def getSpecificationList(self, object trajectory_generator, long steps):
cdef long first
cdef long last
first = self.first
if first < 0:
first += steps
last = self.last
if last < 0:
last += steps+1
return ('function', first, last, self.skip,
PyCObject_FromVoidPtr(<void *>run_action, NULL), self)
def cleanup(self):
pass
# These three methods need to be overridden by subclasses to
# do any useful work.
cdef int initialize(self, object universe, long generator_id,
PyTrajectoryVariable *dynamic_data):
return 1
cdef int finalize(self, object universe, long generator_id,
PyTrajectoryVariable *dynamic_data):
return 1
cdef int apply(self, object universe, long generator_id,
int step, PyTrajectoryVariable *dynamic_data):
return 1
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