def _create_overloaded_functions(spinnaker_simulator):
""" Creates functions that the main PyNN interface supports\
(given from PyNN)
:param spinnaker_simulator: the simulator object we use underneath
:rtype: None
"""
# overload the failed ones with now valid ones, now that we're in setup
# phase.
__pynn["run"], __pynn["run_until"] = pynn_common.build_run(
spinnaker_simulator)
__pynn["get_current_time"], __pynn["get_time_step"], \
__pynn["get_min_delay"], __pynn["get_max_delay"], \
__pynn["num_processes"], __pynn["rank"] = \
pynn_common.build_state_queries(spinnaker_simulator)
__pynn["reset"] = pynn_common.build_reset(spinnaker_simulator)
__pynn["create"] = pynn_common.build_create(Population)
__pynn["connect"] = pynn_common.build_connect(Projection,
FixedProbabilityConnector,
StaticSynapse)
__pynn["record"] = pynn_common.build_record(spinnaker_simulator)
simulator.state.min_delay = min_delay
simulator.state.max_delay = max_delay
simulator.state.mpi_rank = extra_params.get('rank', 0)
simulator.state.num_processes = extra_params.get('num_processes', 1)
return rank()
def end(compatible_output=True):
"""Do any necessary cleaning up before exiting."""
for (population, variables, filename) in simulator.state.write_on_end:
io = get_io(filename)
population.write_data(io, variables)
simulator.state.write_on_end = []
# should have common implementation of end()
run, run_until = common.build_run(simulator)
run_for = run
reset = common.build_reset(simulator)
initialize = common.initialize
get_current_time, get_time_step, get_min_delay, get_max_delay, \
num_processes, rank = common.build_state_queries(simulator)
create = common.build_create(Population)
connect = common.build_connect(Projection, FixedProbabilityConnector, StaticSynapse)
record = common.build_record(simulator)
"""
common.setup(timestep, min_delay, max_delay, **extra_params)
simulator.state.dt = timestep
if not os.path.exists(temporary_directory):
os.mkdir(temporary_directory)
return 0
def end(compatible_output=True):
"""Do any necessary cleaning up before exiting."""
for recorder in simulator.recorder_list:
recorder.write(gather=True, compatible_output=compatible_output)
simulator.recorder_list = []
shutil.rmtree(temporary_directory, ignore_errors=True)
moose.PyMooseBase.endSimulation()
run = common.build_run(simulator)
reset = common.build_reset(simulator)
initialize = common.initialize
# ==============================================================================
# Functions returning information about the simulation state
# ==============================================================================
get_current_time, get_time_step, get_min_delay, get_max_delay, \
num_processes, rank = common.build_state_queries(simulator)
# ==============================================================================
# High-level API for creating, connecting and recording from populations of
# neurons.
if os.path.isfile('cellConnections.txt'):
print("Connectivity Map Created!")
else:
print("Connectivity map creation failed")
def end(compatible_output=True):
"""Do any necessary cleaning up before exiting."""
for (population, variables, filename) in simulator.state.write_on_end:
io = get_io(filename)
population.write_data(io, variables)
simulator.state.write_on_end = []
# should have common implementation of end()
run, run_until = common.build_run(simulator)
run_for = run
reset = common.build_reset(simulator)
initialize = common.initialize
get_current_time, get_time_step, get_min_delay, get_max_delay, \
num_processes, rank = common.build_state_queries(simulator)
create = common.build_create(Population)
connect = common.build_connect(Projection, FixedProbabilityConnector,
StaticSynapse)
record = common.build_record(simulator)
if 'default_maxstep' in extra_params:
simulator.state.default_maxstep = float(
extra_params['default_maxstep'])
return rank()
def end(compatible_output=True):
"""Do any necessary cleaning up before exiting."""
for (population, variables, filename) in simulator.state.write_on_end:
io = get_io(filename)
population.write_data(io, variables)
simulator.state.write_on_end = []
#simulator.state.finalize()
run, run_until, run_to_steady_state, run_from_steady_state = common.build_run(
simulator)
run_for = run
reset = common.build_reset(simulator)
initialize = common.initialize
# ==============================================================================
# Functions returning information about the simulation state
# ==============================================================================
get_current_time, get_time_step, get_min_delay, get_max_delay, \
num_processes, rank = common.build_state_queries(simulator)
# ==============================================================================
# Low-level API for creating, connecting and recording from individual neurons