def _get_n_connections_from_pre_vertex_with_delay_maximum(
self, delays, n_total_connections, n_connections, min_delay,
max_delay, synapse_info):
""" Get the expected number of delays that will fall within min_delay
and max_delay given given a float, RandomDistribution or list of
delays.
:param delays:
:type delays: ~numpy.ndarray or pyNN.random.NumpyRNG or int or float
or list(int) or list(float)
:param int n_total_connections:
:param int n_connections:
:param float min_delay:
:param float max_delay:
:rtype: float
"""
if isinstance(delays, RandomDistribution):
prob_in_range = utility_calls.get_probability_within_range(
delays, min_delay, max_delay)
return int(
math.ceil(
utility_calls.get_probable_maximum_selected(
n_total_connections, n_connections, prob_in_range)))
elif isinstance(delays, str):
d = self._get_distances(delays, synapse_info)
delays = _expr_context.eval(delays, d=d)
n_delayed = sum([
len([
delay for delay in delays
if min_delay <= delay <= max_delay
])
])
if n_delayed == 0:
return 0
n_total = len(delays)
prob_delayed = float(n_delayed) / float(n_total)
return int(
math.ceil(
utility_calls.get_probable_maximum_selected(
n_total_connections, n_connections, prob_delayed)))
elif numpy.isscalar(delays):
if min_delay <= delays <= max_delay:
return int(math.ceil(n_connections))
return 0
elif hasattr(delays, "__getitem__"):
n_delayed = sum([
len([
delay for delay in delays
if min_delay <= delay <= max_delay
])
])
if n_delayed == 0:
return 0
n_total = len(delays)
prob_delayed = float(n_delayed) / float(n_total)
return int(
math.ceil(
utility_calls.get_probable_maximum_selected(
n_total_connections, n_connections, prob_delayed)))
raise SpynnakerException("Unrecognised delay format")
def _get_n_connections_from_pre_vertex_with_delay_maximum(
delays, n_total_connections, n_connections, connection_slices,
min_delay, max_delay):
""" Gets the expected number of delays that will fall within min_delay\
and max_delay given given a float, RandomDistribution or list of\
delays
"""
if globals_variables.get_simulator().is_a_pynn_random(delays):
prob_in_range = utility_calls.get_probability_within_range(
delays, min_delay, max_delay)
return int(
math.ceil(
utility_calls.get_probable_maximum_selected(
n_total_connections, n_connections, prob_in_range)))
elif numpy.isscalar(delays):
if min_delay <= delays <= max_delay:
return int(math.ceil(n_connections))
return 0
elif hasattr(delays, "__getitem__"):
n_delayed = sum([
len([
delay for delay in delays[connection_slice]
if min_delay <= delay <= max_delay
]) for connection_slice in connection_slices
])
n_total = sum([
len(delays[connection_slice])
for connection_slice in connection_slices
])
prob_delayed = float(n_delayed) / float(n_total)
return int(
math.ceil(
utility_calls.get_probable_maximum_selected(
n_total_connections, n_delayed, prob_delayed)))
raise Exception("Unrecognised delay format")
def _get_n_connections_from_pre_vertex_with_delay_maximum(
self, delays, n_total_connections, n_connections, min_delay,
max_delay):
""" Get the expected number of delays that will fall within min_delay\
and max_delay given given a float, RandomDistribution or list of\
delays.
"""
# pylint: disable=too-many-arguments
if get_simulator().is_a_pynn_random(delays):
prob_in_range = utility_calls.get_probability_within_range(
delays, min_delay, max_delay)
return int(
math.ceil(
utility_calls.get_probable_maximum_selected(
n_total_connections, n_connections, prob_in_range)))
elif numpy.isscalar(delays):
if min_delay <= delays <= max_delay:
return int(math.ceil(n_connections))
return 0
elif hasattr(delays, "__getitem__"):
n_delayed = sum([
len([
delay for delay in delays
if min_delay <= delay <= max_delay
])
])
if n_delayed == 0:
return 0
n_total = len(delays)
prob_delayed = float(n_delayed) / float(n_total)
return int(
math.ceil(
utility_calls.get_probable_maximum_selected(
n_total_connections, n_connections, prob_delayed)))
raise Exception("Unrecognised delay format")
def _get_n_connections_from_pre_vertex_with_delay_maximum(
delays, n_total_connections, n_connections, connection_slices,
min_delay, max_delay):
""" Gets the expected number of delays that will fall within min_delay\
and max_delay given given a float, RandomDistribution or list of\
delays
"""
if isinstance(delays, RandomDistribution):
prob_in_range = utility_calls.get_probability_within_range(
delays, min_delay, max_delay)
return int(math.ceil(utility_calls.get_probable_maximum_selected(
n_total_connections, n_connections, prob_in_range)))
elif numpy.isscalar(delays):
if min_delay <= delays <= max_delay:
return int(math.ceil(n_connections))
return 0
elif hasattr(delays, "__getitem__"):
n_delayed = sum([len([
delay for delay in delays[connection_slice]
if min_delay <= delay <= max_delay])
for connection_slice in connection_slices])
n_total = sum([
len(delays[connection_slice])
for connection_slice in connection_slices])
prob_delayed = float(n_delayed) / float(n_total)
return int(math.ceil(utility_calls.get_probable_maximum_selected(
n_total_connections, n_delayed, prob_delayed)))
raise Exception("Unrecognised delay format")
def _get_n_connections_from_pre_vertex_with_delay_maximum(
self, delays, n_total_connections, n_connections,
min_delay, max_delay):
""" Get the expected number of delays that will fall within min_delay\
and max_delay given given a float, RandomDistribution or list of\
delays.
"""
# pylint: disable=too-many-arguments
if get_simulator().is_a_pynn_random(delays):
prob_in_range = utility_calls.get_probability_within_range(
delays, min_delay, max_delay)
return int(math.ceil(utility_calls.get_probable_maximum_selected(
n_total_connections, n_connections, prob_in_range)))
elif numpy.isscalar(delays):
if min_delay <= delays <= max_delay:
return int(math.ceil(n_connections))
return 0
elif hasattr(delays, "__getitem__"):
n_delayed = sum([len([
delay for delay in delays
if min_delay <= delay <= max_delay])])
if n_delayed == 0:
return 0
n_total = len(delays)
prob_delayed = float(n_delayed) / float(n_total)
return int(math.ceil(utility_calls.get_probable_maximum_selected(
n_total_connections, n_connections, prob_delayed)))
raise Exception("Unrecognised delay format")
