def main(args=None):
parser = argparse.ArgumentParser(
description="Print the contents of IOBUF for a specified core")
parser.add_argument("--version",
"-V",
action="version",
version="%(prog)s {}".format(rig.__version__))
parser.add_argument("hostname",
type=str,
help="hostname or IP of SpiNNaker system")
parser.add_argument("x", type=int, help="the X coordinate of the chip")
parser.add_argument("y", type=int, help="the Y coordinate of the chip")
parser.add_argument("p", type=int, help="the processor number")
args = parser.parse_args(args)
try:
mc = MachineController(args.hostname)
info = mc.get_software_version(255, 255)
if "SpiNNaker" in info.version_string:
sys.stdout.write(mc.get_iobuf(args.p, args.x, args.y))
else:
sys.stderr.write("{}: error: unknown architecture '{}'\n".format(
parser.prog, info.version_string.strip("\x00")))
return 2
except TimeoutError:
sys.stderr.write("{}: error: command timed out\n".format(parser.prog))
return 1
return 0
class Simulator(object):
"""SpiNNaker simulator for Nengo models.
The simulator period determines how much data will be stored on SpiNNaker
and is the maximum length of simulation allowed before data is transferred
between the machine and the host PC. If the period is set to `None`
function of time Nodes will not be optimised and probes will be disabled.
For any other value simulation lengths of less than or equal to the period
will be in real-time, longer simulations will be possible but will include
short gaps when data is transferred between SpiNNaker and the host.
:py:meth:`~.close` should be called when the simulator will no longer be
used. This will close all sockets used to communicate with the SpiNNaker
machine and will leave the machine in a clean state. Failure to call
`close` may result in later failures. Alternatively `with` may be used::
sim = nengo_spinnaker.Simulator(network)
with sim:
sim.run(10.0)
"""
_open_simulators = set()
@classmethod
def _add_simulator(cls, simulator):
cls._open_simulators.add(simulator)
@classmethod
def _remove_simulator(cls, simulator):
cls._open_simulators.remove(simulator)
def __init__(self,
network,
dt=0.001,
period=10.0,
timescale=1.0,
hostname=None,
use_spalloc=None,
allocation_fudge_factor=0.6):
"""Create a new Simulator with the given network.
Parameters
----------
period : float or None
Duration of one period of the simulator. This determines how much
memory will be allocated to store precomputed and probed data.
timescale : float
Scaling factor to apply to the simulation, e.g., a value of `0.5`
will cause the simulation to run at half real-time.
hostname : string or None
Hostname of the SpiNNaker machine to use; if None then the machine
specified in the config file will be used.
use_spalloc : bool or None
Allocate a SpiNNaker machine for the simulator using ``spalloc``.
If None then the setting specified in the config file will be used.
Other Parameters
----------------
allocation_fudge_factor:
Fudge factor to allocate more cores than really necessary when using
`spalloc` to ensure that (a) there are sufficient "live" cores in
the allocated machine, (b) there is sufficient room for a good place
and route solution. This should generally be more than 0.1 (10% more
cores than necessary) to account for the usual rate of missing
chips.
"""
# Add this simulator to the set of open simulators
Simulator._add_simulator(self)
# Create the IO controller
io_cls = getconfig(network.config, Simulator, "node_io", Ethernet)
io_kwargs = getconfig(network.config, Simulator, "node_io_kwargs",
dict())
self.io_controller = io_cls(**io_kwargs)
# Calculate the machine timestep, this is measured in microseconds
# (hence the 1e6 scaling factor).
self.timescale = timescale
machine_timestep = int((dt / timescale) * 1e6)
# Determine the maximum run-time
self.max_steps = None if period is None else int(period / dt)
self.steps = 0 # Steps simulated
# If the simulator is in "run indefinite" mode (i.e., max_steps=None)
# then we modify the builders to ignore function of time Nodes and
# probes.
builder_kwargs = self.io_controller.builder_kwargs
if self.max_steps is None:
raise NotImplementedError
# Create a model from the network, using the IO controller
logger.debug("Building model")
start_build = time.time()
self.model = Model(dt=dt,
machine_timestep=machine_timestep,
decoder_cache=get_default_decoder_cache())
self.model.build(network, **builder_kwargs)
logger.info("Build took {:.3f} seconds".format(time.time() -
start_build))
self.model.decoder_cache.shrink()
self.dt = self.model.dt
self._closed = False # Whether the simulator has been closed or not
self.host_sim = self._create_host_sim()
# Holder for probe data
self.data = {}
# Holder for profiling data
self.profiler_data = {}
# Convert the model into a netlist
logger.info("Building netlist")
start = time.time()
self.netlist = self.model.make_netlist(self.max_steps or 0)
# Determine whether to use a spalloc machine or not
if use_spalloc is None:
# Default is to not use spalloc; this is indicated by either the
# absence of the option in the config file OR the option being set
# to false.
use_spalloc = (rc.has_option("spinnaker_machine", "use_spalloc")
and rc.getboolean("spinnaker_machine",
"use_spalloc"))
# Create a controller for the machine and boot if necessary
self.job = None
if not use_spalloc or hostname is not None:
# Use the specified machine rather than trying to get one
# allocated.
if hostname is None:
hostname = rc.get("spinnaker_machine", "hostname")
else:
# Attempt to get a machine allocated to us
from spalloc import Job
# Determine how many boards to ask for (assuming 16 usable cores
# per chip and 48 chips per board).
n_cores = self.netlist.n_cores * (1.0 + allocation_fudge_factor)
n_boards = int(np.ceil((n_cores / 16.) / 48.))
# Request the job
self.job = Job(n_boards)
logger.info("Allocated job ID %d...", self.job.id)
# Wait until we're given the machine
logger.info("Waiting for machine allocation...")
self.job.wait_until_ready()
# spalloc recommends a slight delay before attempting to boot the
# machine, later versions of spalloc server may relax this
# requirement.
time.sleep(5.0)
# Store the hostname
hostname = self.job.hostname
logger.info("Using %d board(s) of \"%s\" (%s)",
len(self.job.boards), self.job.machine_name, hostname)
self.controller = MachineController(hostname)
self.controller.boot()
# Get a system-info object to place & route against
logger.info("Getting SpiNNaker machine specification")
system_info = self.controller.get_system_info()
# Place & Route
logger.info("Placing and routing")
self.netlist.place_and_route(
system_info,
place=getconfig(network.config, Simulator, 'placer',
rig.place_and_route.place),
place_kwargs=getconfig(network.config, Simulator, 'placer_kwargs',
{}),
)
logger.info("{} cores in use".format(len(self.netlist.placements)))
chips = set(six.itervalues(self.netlist.placements))
logger.info("Using {}".format(chips))
# Prepare the simulator against the placed, allocated and routed
# netlist.
self.io_controller.prepare(self.model, self.controller, self.netlist)
# Load the application
logger.info("Loading application")
self.netlist.load_application(self.controller, system_info)
# Check if any cores are in bad states
if self.controller.count_cores_in_state(
["exit", "dead", "watchdog", "runtime_exception"]):
for vertex, (x, y) in six.iteritems(self.netlist.placements):
p = self.netlist.allocations[vertex][Cores].start
status = self.controller.get_processor_status(p, x, y)
if status.cpu_state is not AppState.sync0:
print("Core ({}, {}, {}) in state {!s}".format(
x, y, p, status))
print(self.controller.get_iobuf(p, x, y))
raise Exception("Unexpected core failures.")
logger.info("Preparing and loading machine took {:3f} seconds".format(
time.time() - start))
logger.info("Setting router timeout to 16 cycles")
for x, y in system_info.chips():
with self.controller(x=x, y=y):
data = self.controller.read(0xf1000000, 4)
self.controller.write(0xf1000000, data[:-1] + b'\x10')
def __enter__(self):
"""Enter a context which will close the simulator when exited."""
# Return self to allow usage like:
#
# with nengo_spinnaker.Simulator(model) as sim:
# sim.run(1.0)
return self
def __exit__(self, exception_type, exception_value, traceback):
"""Exit a context and close the simulator."""
self.close()
def run(self, time_in_seconds):
"""Simulate for the given length of time."""
# Determine how many steps to simulate for
steps = int(np.round(float(time_in_seconds) / self.dt))
self.run_steps(steps)
def run_steps(self, steps):
"""Simulate a give number of steps."""
while steps > 0:
n_steps = min((steps, self.max_steps))
self._run_steps(n_steps)
steps -= n_steps
def _run_steps(self, steps):
"""Simulate for the given number of steps."""
if self._closed:
raise Exception("Simulator has been closed and can't be used to "
"run further simulations.")
if steps is None:
if self.max_steps is not None:
raise Exception(
"Cannot run indefinitely if a simulator period was "
"specified. Create a new simulator with Simulator(model, "
"period=None) to perform indefinite time simulations.")
else:
assert steps <= self.max_steps
# Prepare the simulation
self.netlist.before_simulation(self, steps)
# Wait for all cores to hit SYNC0 (either by remaining it or entering
# it from init)
self._wait_for_transition(AppState.init, AppState.sync0,
self.netlist.n_cores)
self.controller.send_signal("sync0")
# Get a new thread for the IO
io_thread = self.io_controller.spawn()
# Run the simulation
try:
# Prep
exp_time = steps * self.dt / self.timescale
io_thread.start()
# Wait for all cores to hit SYNC1
self._wait_for_transition(AppState.sync0, AppState.sync1,
self.netlist.n_cores)
logger.info("Running simulation...")
self.controller.send_signal("sync1")
# Execute the local model
host_steps = 0
start_time = time.time()
run_time = 0.0
local_timestep = self.dt / self.timescale
while run_time < exp_time:
# Run a step
self.host_sim.step()
run_time = time.time() - start_time
# If that step took less than timestep then spin
time.sleep(0.0001)
while run_time < host_steps * local_timestep:
time.sleep(0.0001)
run_time = time.time() - start_time
finally:
# Stop the IO thread whatever occurs
io_thread.stop()
# Wait for cores to re-enter sync0
self._wait_for_transition(AppState.run, AppState.sync0,
self.netlist.n_cores)
# Retrieve simulation data
start = time.time()
logger.info("Retrieving simulation data")
self.netlist.after_simulation(self, steps)
logger.info("Retrieving data took {:3f} seconds".format(time.time() -
start))
# Increase the steps count
self.steps += steps
def _wait_for_transition(self, from_state, desired_to_state, num_verts):
while True:
# If no cores are still in from_state, stop
if self.controller.count_cores_in_state(from_state) == 0:
break
# Wait a bit
time.sleep(1.0)
# Check if any cores haven't exited cleanly
num_ready = self.controller.wait_for_cores_to_reach_state(
desired_to_state, num_verts, timeout=5.0)
if num_ready != num_verts:
# Loop through all placed vertices
for vertex, (x, y) in six.iteritems(self.netlist.placements):
p = self.netlist.allocations[vertex][Cores].start
status = self.controller.get_processor_status(p, x, y)
if status.cpu_state is not desired_to_state:
print("Core ({}, {}, {}) in state {!s}".format(
x, y, p, status.cpu_state))
print(self.controller.get_iobuf(p, x, y))
raise Exception("Unexpected core failures before reaching %s "
"state." % desired_to_state)
def _create_host_sim(self):
# change node_functions to reflect time
# TODO: improve the reference simulator so that this is not needed
# by adding a realtime option
node_functions = {}
node_info = dict(start=None)
for node in self.io_controller.host_network.all_nodes:
if callable(node.output):
old_func = node.output
if node.size_in == 0:
def func(t, f=old_func):
now = time.time()
if node_info['start'] is None:
node_info['start'] = now
t = (now - node_info['start']) * self.timescale
return f(t)
else:
def func(t, x, f=old_func):
now = time.time()
if node_info['start'] is None:
node_info['start'] = now
t = (now - node_info['start']) * self.timescale
return f(t, x)
node.output = func
node_functions[node] = old_func
# Build the host simulator
host_sim = nengo.Simulator(self.io_controller.host_network, dt=self.dt)
# reset node functions
for node, func in node_functions.items():
node.output = func
return host_sim
def close(self):
"""Clean the SpiNNaker board and prevent further simulation."""
if not self._closed:
# Stop the application
self._closed = True
self.io_controller.close()
self.controller.send_signal("stop")
# Destroy the job if we allocated one
if self.job is not None:
self.job.destroy()
# Remove this simulator from the list of open simulators
Simulator._remove_simulator(self)
def trange(self, dt=None):
return np.arange(1, self.steps + 1) * (self.dt or dt)
"""
A Rig-based program which boots a SpiNNaker machine and loads the "hello world"
SpiNNaker binary onto it.
"""
import sys
from rig.machine_control import MachineController
# Control the SpiNNaker machine whose hostname is given on the command line
mc = MachineController(sys.argv[1])
# To boot the machine, we take its network dimensions as command line
# arguments.
mc.boot(int(sys.argv[2]), int(sys.argv[3]))
# Load the hello world application onto core 1 of chip (0, 0).
mc.load_application("hello.aplx", {(0, 0): {1}})
# Wait for the application to finish
mc.wait_for_cores_to_reach_state("exit", 1)
# Print out the message printed by the application
print(mc.get_iobuf(x=0, y=0, p=1))
# Free up any SpiNNaker resources
mc.send_signal("stop")
class Simulator(object):
"""SpiNNaker simulator for Nengo models.
The simulator period determines how much data will be stored on SpiNNaker
and is the maximum length of simulation allowed before data is transferred
between the machine and the host PC. If the period is set to `None`
function of time Nodes will not be optimised and probes will be disabled.
For any other value simulation lengths of less than or equal to the period
will be in real-time, longer simulations will be possible but will include
short gaps when data is transferred between SpiNNaker and the host.
:py:meth:`~.close` should be called when the simulator will no longer be
used. This will close all sockets used to communicate with the SpiNNaker
machine and will leave the machine in a clean state. Failure to call
`close` may result in later failures. Alternatively `with` may be used::
sim = nengo_spinnaker.Simulator(network)
with sim:
sim.run(10.0)
"""
_open_simulators = set()
@classmethod
def _add_simulator(cls, simulator):
cls._open_simulators.add(simulator)
@classmethod
def _remove_simulator(cls, simulator):
cls._open_simulators.remove(simulator)
def __init__(self, network, dt=0.001, period=10.0, timescale=1.0,
hostname=None, use_spalloc=None,
allocation_fudge_factor=0.6):
"""Create a new Simulator with the given network.
Parameters
----------
period : float or None
Duration of one period of the simulator. This determines how much
memory will be allocated to store precomputed and probed data.
timescale : float
Scaling factor to apply to the simulation, e.g., a value of `0.5`
will cause the simulation to run at half real-time.
hostname : string or None
Hostname of the SpiNNaker machine to use; if None then the machine
specified in the config file will be used.
use_spalloc : bool or None
Allocate a SpiNNaker machine for the simulator using ``spalloc``.
If None then the setting specified in the config file will be used.
Other Parameters
----------------
allocation_fudge_factor:
Fudge factor to allocate more cores than really necessary when using
`spalloc` to ensure that (a) there are sufficient "live" cores in
the allocated machine, (b) there is sufficient room for a good place
and route solution. This should generally be more than 0.1 (10% more
cores than necessary) to account for the usual rate of missing
chips.
"""
# Add this simulator to the set of open simulators
Simulator._add_simulator(self)
# Create the IO controller
io_cls = getconfig(network.config, Simulator, "node_io", Ethernet)
io_kwargs = getconfig(network.config, Simulator, "node_io_kwargs",
dict())
self.io_controller = io_cls(**io_kwargs)
# Calculate the machine timestep, this is measured in microseconds
# (hence the 1e6 scaling factor).
self.timescale = timescale
machine_timestep = int((dt / timescale) * 1e6)
# Determine the maximum run-time
self.max_steps = None if period is None else int(period / dt)
self.steps = 0 # Steps simulated
# If the simulator is in "run indefinite" mode (i.e., max_steps=None)
# then we modify the builders to ignore function of time Nodes and
# probes.
builder_kwargs = self.io_controller.builder_kwargs
if self.max_steps is None:
raise NotImplementedError
# Create a model from the network, using the IO controller
logger.debug("Building model")
start_build = time.time()
self.model = Model(dt=dt, machine_timestep=machine_timestep,
decoder_cache=get_default_decoder_cache())
self.model.build(network, **builder_kwargs)
logger.info("Build took {:.3f} seconds".format(time.time() -
start_build))
self.model.decoder_cache.shrink()
self.dt = self.model.dt
self._closed = False # Whether the simulator has been closed or not
self.host_sim = self._create_host_sim()
# Holder for probe data
self.data = {}
# Holder for profiling data
self.profiler_data = {}
# Convert the model into a netlist
logger.info("Building netlist")
start = time.time()
self.netlist = self.model.make_netlist(self.max_steps or 0)
# Determine whether to use a spalloc machine or not
if use_spalloc is None:
# Default is to not use spalloc; this is indicated by either the
# absence of the option in the config file OR the option being set
# to false.
use_spalloc = (
rc.has_option("spinnaker_machine", "use_spalloc") and
rc.getboolean("spinnaker_machine", "use_spalloc"))
# Create a controller for the machine and boot if necessary
self.job = None
if not use_spalloc or hostname is not None:
# Use the specified machine rather than trying to get one
# allocated.
if hostname is None:
hostname = rc.get("spinnaker_machine", "hostname")
else:
# Attempt to get a machine allocated to us
from spalloc import Job
# Determine how many boards to ask for (assuming 16 usable cores
# per chip and 48 chips per board).
n_cores = self.netlist.n_cores * (1.0 + allocation_fudge_factor)
n_boards = int(np.ceil((n_cores / 16.) / 48.))
# Request the job
self.job = Job(n_boards)
logger.info("Allocated job ID %d...", self.job.id)
# Wait until we're given the machine
logger.info("Waiting for machine allocation...")
self.job.wait_until_ready()
# spalloc recommends a slight delay before attempting to boot the
# machine, later versions of spalloc server may relax this
# requirement.
time.sleep(5.0)
# Store the hostname
hostname = self.job.hostname
logger.info("Using %d board(s) of \"%s\" (%s)",
len(self.job.boards), self.job.machine_name, hostname)
self.controller = MachineController(hostname)
self.controller.boot()
# Get a system-info object to place & route against
logger.info("Getting SpiNNaker machine specification")
system_info = self.controller.get_system_info()
# Place & Route
logger.info("Placing and routing")
self.netlist.place_and_route(
system_info,
place=getconfig(network.config, Simulator,
'placer', rig.place_and_route.place),
place_kwargs=getconfig(network.config, Simulator,
'placer_kwargs', {}),
)
logger.info("{} cores in use".format(len(self.netlist.placements)))
chips = set(six.itervalues(self.netlist.placements))
logger.info("Using {}".format(chips))
# Prepare the simulator against the placed, allocated and routed
# netlist.
self.io_controller.prepare(self.model, self.controller, self.netlist)
# Load the application
logger.info("Loading application")
self.netlist.load_application(self.controller, system_info)
# Check if any cores are in bad states
if self.controller.count_cores_in_state(["exit", "dead", "watchdog",
"runtime_exception"]):
for vertex, (x, y) in six.iteritems(self.netlist.placements):
p = self.netlist.allocations[vertex][Cores].start
status = self.controller.get_processor_status(p, x, y)
if status.cpu_state is not AppState.sync0:
print("Core ({}, {}, {}) in state {!s}".format(
x, y, p, status))
print(self.controller.get_iobuf(p, x, y))
raise Exception("Unexpected core failures.")
logger.info("Preparing and loading machine took {:3f} seconds".format(
time.time() - start
))
logger.info("Setting router timeout to 16 cycles")
for x, y in system_info.chips():
with self.controller(x=x, y=y):
data = self.controller.read(0xf1000000, 4)
self.controller.write(0xf1000000, data[:-1] + b'\x10')
def __enter__(self):
"""Enter a context which will close the simulator when exited."""
# Return self to allow usage like:
#
# with nengo_spinnaker.Simulator(model) as sim:
# sim.run(1.0)
return self
def __exit__(self, exception_type, exception_value, traceback):
"""Exit a context and close the simulator."""
self.close()
def run(self, time_in_seconds):
"""Simulate for the given length of time."""
# Determine how many steps to simulate for
steps = int(np.round(float(time_in_seconds) / self.dt))
self.run_steps(steps)
def run_steps(self, steps):
"""Simulate a give number of steps."""
while steps > 0:
n_steps = min((steps, self.max_steps))
self._run_steps(n_steps)
steps -= n_steps
def _run_steps(self, steps):
"""Simulate for the given number of steps."""
if self._closed:
raise Exception("Simulator has been closed and can't be used to "
"run further simulations.")
if steps is None:
if self.max_steps is not None:
raise Exception(
"Cannot run indefinitely if a simulator period was "
"specified. Create a new simulator with Simulator(model, "
"period=None) to perform indefinite time simulations."
)
else:
assert steps <= self.max_steps
# Prepare the simulation
self.netlist.before_simulation(self, steps)
# Wait for all cores to hit SYNC0 (either by remaining it or entering
# it from init)
self._wait_for_transition(AppState.init, AppState.sync0,
self.netlist.n_cores)
self.controller.send_signal("sync0")
# Get a new thread for the IO
io_thread = self.io_controller.spawn()
# Run the simulation
try:
# Prep
exp_time = steps * self.dt / self.timescale
io_thread.start()
# Wait for all cores to hit SYNC1
self._wait_for_transition(AppState.sync0, AppState.sync1,
self.netlist.n_cores)
logger.info("Running simulation...")
self.controller.send_signal("sync1")
# Execute the local model
host_steps = 0
start_time = time.time()
run_time = 0.0
local_timestep = self.dt / self.timescale
while run_time < exp_time:
# Run a step
self.host_sim.step()
run_time = time.time() - start_time
# If that step took less than timestep then spin
time.sleep(0.0001)
while run_time < host_steps * local_timestep:
time.sleep(0.0001)
run_time = time.time() - start_time
finally:
# Stop the IO thread whatever occurs
io_thread.stop()
# Wait for cores to re-enter sync0
self._wait_for_transition(AppState.run, AppState.sync0,
self.netlist.n_cores)
# Retrieve simulation data
start = time.time()
logger.info("Retrieving simulation data")
self.netlist.after_simulation(self, steps)
logger.info("Retrieving data took {:3f} seconds".format(
time.time() - start
))
# Increase the steps count
self.steps += steps
def _wait_for_transition(self, from_state, desired_to_state, num_verts):
while True:
# If no cores are still in from_state, stop
if self.controller.count_cores_in_state(from_state) == 0:
break
# Wait a bit
time.sleep(1.0)
# Check if any cores haven't exited cleanly
num_ready = self.controller.wait_for_cores_to_reach_state(
desired_to_state, num_verts, timeout=5.0)
if num_ready != num_verts:
# Loop through all placed vertices
for vertex, (x, y) in six.iteritems(self.netlist.placements):
p = self.netlist.allocations[vertex][Cores].start
status = self.controller.get_processor_status(p, x, y)
if status.cpu_state is not desired_to_state:
print("Core ({}, {}, {}) in state {!s}".format(
x, y, p, status.cpu_state))
print(self.controller.get_iobuf(p, x, y))
raise Exception("Unexpected core failures before reaching %s "
"state." % desired_to_state)
def _create_host_sim(self):
# change node_functions to reflect time
# TODO: improve the reference simulator so that this is not needed
# by adding a realtime option
node_functions = {}
node_info = dict(start=None)
for node in self.io_controller.host_network.all_nodes:
if callable(node.output):
old_func = node.output
if node.size_in == 0:
def func(t, f=old_func):
now = time.time()
if node_info['start'] is None:
node_info['start'] = now
t = (now - node_info['start']) * self.timescale
return f(t)
else:
def func(t, x, f=old_func):
now = time.time()
if node_info['start'] is None:
node_info['start'] = now
t = (now - node_info['start']) * self.timescale
return f(t, x)
node.output = func
node_functions[node] = old_func
# Build the host simulator
host_sim = nengo.Simulator(self.io_controller.host_network,
dt=self.dt)
# reset node functions
for node, func in node_functions.items():
node.output = func
return host_sim
def close(self):
"""Clean the SpiNNaker board and prevent further simulation."""
if not self._closed:
# Stop the application
self._closed = True
self.io_controller.close()
self.controller.send_signal("stop")
# Destroy the job if we allocated one
if self.job is not None:
self.job.destroy()
# Remove this simulator from the list of open simulators
Simulator._remove_simulator(self)
def trange(self, dt=None):
return np.arange(1, self.steps + 1) * (self.dt or dt)
with mc.application(57):
# Write the table table into memory on chip (0, 0)
print("Loading tables...")
with mc(x=0, y=0):
mem = mc.sdram_alloc_as_filelike(len(table) * 16 + 12, tag=1)
mem.write(pack_table(table, 57))
# Load the application
print("Loading app...")
mc.load_application("./rt_minimise.aplx", {(0, 0): {1}})
# Wait until this does something interesting
print("Minimising...")
ready = mc.wait_for_cores_to_reach_state("exit", 1, timeout=5.0)
if ready < 1:
print(mc.get_iobuf(x=0, y=0, p=1))
raise Exception("Something didn't work...")
print("\nReading minimised table...")
for e in mc.get_routing_table_entries(x=0, y=0):
if e is not None:
entry, app, _ = e
print("{:d}: {:#010x}/{:#010x} --> {}".format(
app, entry.key, entry.mask, entry.route))
print("\nStopping application...")
mc.send_signal("stop", app_id=57)
for e in mc.get_routing_table_entries(x=0, y=0):
if e is not None:
entry, app, _ = e
