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{# USES_VARIABLES { _n_sources, _n_targets, delay, _source_dt} #}
{% extends 'common_group.cpp' %}
{% block before_code %}
{% set scalar = c_data_type(variables['delay'].dtype) %}
std::vector<{{scalar}}> &real_delays = {{get_array_name(variables['delay'], access_data=False)}};
{{scalar}}* real_delays_data = real_delays.empty() ? 0 : &(real_delays[0]);
int32_t* sources = {{owner.name}}.sources.empty() ? 0 : &({{owner.name}}.sources[0]);
const size_t n_delays = real_delays.size();
const size_t n_synapses = {{owner.name}}.sources.size();
{{owner.name}}.prepare({{constant_or_scalar('_n_sources', variables['_n_sources'])}},
{{constant_or_scalar('_n_targets', variables['_n_targets'])}},
real_delays_data, n_delays, sources,
n_synapses,
{{_source_dt}});
{% endblock %}
{% block maincode %}
// we do advance at the beginning rather than at the end because it saves us making
// a copy of the current spiking synapses
{# Get the name of the array that stores these events (e.g. the spikespace array) #}
{% set _eventspace = get_array_name(eventspace_variable) %}
{{openmp_pragma('parallel')}}
{
{{owner.name}}.advance();
{{owner.name}}.push({{_eventspace}}, {{_eventspace}}[_num{{eventspace_variable.name}}-1]);
}
{% endblock %}
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