diff --git a/miniapp/io.cpp b/miniapp/io.cpp
index 344fd56135b232bef3563d6a3cc61b570868a360..c1d4f6fc0297b08e9311cdf5bef683e0de720b87 100644
--- a/miniapp/io.cpp
+++ b/miniapp/io.cpp
@@ -121,6 +121,8 @@ cl_options read_options(int argc, char** argv) {
100., // tfinal
0.025, // dt
false, // all_to_all
+ false, // ring
+ 1, // group_size
false, // probe_soma_only
0.0, // probe_ratio
"trace_", // trace_prefix
@@ -170,6 +172,11 @@ cl_options read_options(int argc, char** argv) {
false, defopts.dt, "time", cmd);
TCLAP::SwitchArg all_to_all_arg(
"m","alltoall","all to all network", cmd, false);
+ TCLAP::SwitchArg ring_arg(
+ "r","ring","ring network", cmd, false);
+ TCLAP::ValueArg<uint32_t> group_size_arg(
+ "g", "group-size", "number of cells per cell group",
+ false, defopts.compartments_per_segment, "integer", cmd);
TCLAP::ValueArg<double> probe_ratio_arg(
"p", "probe-ratio", "proportion between 0 and 1 of cells to probe",
false, defopts.probe_ratio, "proportion", cmd);
@@ -206,6 +213,8 @@ cl_options read_options(int argc, char** argv) {
update_option(options.dt, fopts, "dt");
update_option(options.tfinal, fopts, "tfinal");
update_option(options.all_to_all, fopts, "all_to_all");
+ update_option(options.ring, fopts, "ring");
+ update_option(options.group_size, fopts, "group_size");
update_option(options.probe_ratio, fopts, "probe_ratio");
update_option(options.probe_soma_only, fopts, "probe_soma_only");
update_option(options.trace_prefix, fopts, "trace_prefix");
@@ -239,12 +248,22 @@ cl_options read_options(int argc, char** argv) {
update_option(options.tfinal, tfinal_arg);
update_option(options.dt, dt_arg);
update_option(options.all_to_all, all_to_all_arg);
+ update_option(options.ring, ring_arg);
+ update_option(options.group_size, group_size_arg);
update_option(options.probe_ratio, probe_ratio_arg);
update_option(options.probe_soma_only, probe_soma_only_arg);
update_option(options.trace_prefix, trace_prefix_arg);
update_option(options.trace_max_gid, trace_max_gid_arg);
update_option(options.spike_file_output, spike_output_arg);
+ if (options.all_to_all && options.ring) {
+ throw usage_error("can specify at most one of --ring and --all-to-all");
+ }
+
+ if (options.group_size<1) {
+ throw usage_error("minimum of one cell per group");
+ }
+
save_file = ofile_arg.getValue();
}
catch (TCLAP::ArgException& e) {
diff --git a/miniapp/io.hpp b/miniapp/io.hpp
index c18e688c33ceff0c3966b5d66ae8eb1680bc48a1..1c5bba8163596dcf5bdcbed10113c901a1c816b0 100644
--- a/miniapp/io.hpp
+++ b/miniapp/io.hpp
@@ -21,6 +21,8 @@ struct cl_options {
double tfinal;
double dt;
bool all_to_all;
+ bool ring;
+ uint32_t group_size;
bool probe_soma_only;
double probe_ratio;
std::string trace_prefix;
diff --git a/miniapp/miniapp.cpp b/miniapp/miniapp.cpp
index f0983d0514f6eeddff2778aef45e4e0b78b5f9f1..9ad224efd7c1597ef848559b02921911cfe19b15 100644
--- a/miniapp/miniapp.cpp
+++ b/miniapp/miniapp.cpp
@@ -28,8 +28,8 @@
using namespace nest::mc;
using global_policy = communication::global_policy;
-//using lowered_cell = fvm::fvm_multicell<double, cell_local_size_type>;
-using lowered_cell = fvm::fvm_cell<double, cell_local_size_type>;
+using lowered_cell = fvm::fvm_multicell<double, cell_local_size_type>;
+//using lowered_cell = fvm::fvm_cell<double, cell_local_size_type>;
using model_type = model<lowered_cell>;
using time_type = model_type::time_type;
using sample_trace_type = sample_trace<time_type, model_type::value_type>;
@@ -66,8 +66,16 @@ int main(int argc, char** argv) {
auto recipe = make_recipe(options, pdist);
auto cell_range = distribute_cells(recipe->num_cells());
+ std::vector<cell_gid_type> group_divisions;
+ for (auto i = cell_range.first; i<cell_range.second; i+=options.group_size) {
+ group_divisions.push_back(i);
+ }
+ group_divisions.push_back(cell_range.second);
+
+ EXPECTS(group_divisions.front() == cell_range.first);
+ EXPECTS(group_divisions.back() == cell_range.second);
- model_type m(*recipe, cell_range.first, cell_range.second);
+ model_type m(*recipe, util::partition_view(group_divisions));
auto register_exporter = [] (const io::cl_options& options) {
return
@@ -183,6 +191,9 @@ std::unique_ptr<recipe> make_recipe(const io::cl_options& options, const probe_d
if (options.all_to_all) {
return make_basic_kgraph_recipe(options.cells, p, pdist);
}
+ else if (options.ring) {
+ return make_basic_ring_recipe(options.cells, p, pdist);
+ }
else {
return make_basic_rgraph_recipe(options.cells, p, pdist);
}
diff --git a/scripts/tsplot b/scripts/tsplot
index 81a5da78c06a24d71f727431ef237a18f2a13b0b..15977538a3ce5d977c7559e536d2e03af845e4e4 100755
--- a/scripts/tsplot
+++ b/scripts/tsplot
@@ -33,13 +33,19 @@ def parse_clargs():
P.add_argument('inputs', metavar='FILE', nargs='+',
help='time series data in JSON format')
P.add_argument('-t', '--trange', metavar='RANGE', dest='trange',
- type=parse_range_spec,
+ type=parse_range_spec,
help='restrict time axis to RANGE (see below)')
P.add_argument('-g', '--group', metavar='KEY,...', dest='groupby',
- type=lambda s: s.split(','),
+ type=lambda s: s.split(','),
help='plot series with same KEYs on the same axes')
P.add_argument('-o', '--output', metavar='FILE', dest='outfile',
help='save plot to file FILE')
+ P.add_argument('--dpi', metavar='NUM', dest='dpi',
+ type=int,
+ help='set dpi for output image')
+ P.add_argument('--scale', metavar='NUM', dest='scale',
+ type=float,
+ help='scale size of output image by NUM')
P.add_argument('-x', '--exclude', metavar='NUM', dest='exclude',
type=float,
help='remove extreme points outside NUM times the 0.9-interquantile range of the median')
@@ -82,7 +88,7 @@ class TimeSeries:
l_, lq, median, uq, u_ = np.percentile(yfinite, [0, 5.0, 50.0, 95.0, 100])
lb = median - iqr_factor*(uq-lq)
ub = median + iqr_factor*(uq-lq)
-
+
np_err_save = np.seterr(all='ignore')
yex = np.ma.masked_where(np.isfinite(self.y)&(self.y<=ub)&(self.y>=lb), self.y)
np.seterr(**np_err_save)
@@ -104,7 +110,7 @@ class TimeSeries:
def units(self):
return self.meta.get('units',"")
-
+
def trange(self):
return (min(self.t), max(self.t))
@@ -155,7 +161,7 @@ def read_json_timeseries(source):
ts_list.append(TimeSeries(times, jdata[key], **meta))
return ts_list
-
+
def range_join(r, s):
return (min(r[0], s[0]), max(r[1], s[1]))
@@ -236,7 +242,7 @@ def make_palette(cm_name, n, cmin=0, cmax=1):
M.cm.get_cmap(cm_name))
return [smap.to_rgba((2*i+1)/float(2*n)) for i in xrange(n)]
-def plot_plots(plot_groups, save=None):
+def plot_plots(plot_groups, save=None, dpi=None, scale=None):
nplots = len(plot_groups)
plot_groups = sorted(plot_groups, key=lambda g: g.group_label())
@@ -268,7 +274,7 @@ def plot_plots(plot_groups, save=None):
lab = unit
return lab
-
+
uniq_units = list(set([s.units() for s in group.series]))
uniq_units.sort()
if len(uniq_units)>2:
@@ -297,7 +303,7 @@ def plot_plots(plot_groups, save=None):
cm, n in zip(['hot', 'winter'], [len(x) for x in series_by_unit])]
lines = cycle(["-",(0,(3,1))])
-
+
first_plot = True
for ui in xrange(len(uniq_units)):
if not first_plot:
@@ -310,7 +316,7 @@ def plot_plots(plot_groups, save=None):
plot.get_yaxis().get_major_formatter().set_useOffset(False)
plot.get_yaxis().set_major_locator(M.ticker.MaxNLocator(nbins=6))
-
+
plot.set_xlim(trange)
colours = cycle(palette[ui])
@@ -336,10 +342,14 @@ def plot_plots(plot_groups, save=None):
axis_ymin = min([ax.get_position().ymin for ax in figure.axes])
figure.text(0.5, axis_ymin - float(3)/figure.dpi, 'time', ha='center', va='center')
if save:
- figure.savefig(save)
+ if scale:
+ base = figure.get_size_inches()
+ figure.set_size_inches((base[0]*scale, base[1]*scale))
+
+ figure.savefig(save, dpi=dpi)
else:
P.show()
-
+
args = parse_clargs()
tss = []
for filename in args.inputs:
@@ -360,4 +370,4 @@ plots = gather_ts_plots(tss, groupby)
if not args.outfile:
M.interactive(False)
-plot_plots(plots, save=args.outfile)
+plot_plots(plots, save=args.outfile, dpi=args.dpi, scale=args.scale)
diff --git a/src/algorithms.hpp b/src/algorithms.hpp
index 37eeaf370acd54ef326f70cc4ae17e46f1c6f2b0..f626fa98ddde880cf4fd71a1589dc7ba012764a4 100644
--- a/src/algorithms.hpp
+++ b/src/algorithms.hpp
@@ -51,6 +51,17 @@ C make_index(C const& c)
return out;
}
+/// test for membership within half-open interval
+template <typename X, typename I, typename J>
+bool in_interval(const X& x, const I& lower, const J& upper) {
+ return x>=lower && x<upper;
+}
+
+template <typename X, typename I, typename J>
+bool in_interval(const X& x, const std::pair<I, J>& bounds) {
+ return x>=bounds.first && x<bounds.second;
+}
+
/// works like std::is_sorted(), but with stronger condition that succesive
/// elements must be greater than those before them
template <typename C>
diff --git a/src/cell_group.hpp b/src/cell_group.hpp
index 8d8edcf56ccdfd1b46769fa49f63ffdcc2ac01a4..d8fd2f2ad18edf9e401658cf3c2372190e0226c7 100644
--- a/src/cell_group.hpp
+++ b/src/cell_group.hpp
@@ -2,13 +2,16 @@
#include <cstdint>
#include <functional>
+#include <iterator>
#include <vector>
+#include <algorithms.hpp>
#include <cell.hpp>
#include <common_types.hpp>
#include <event_queue.hpp>
#include <spike.hpp>
#include <spike_source.hpp>
+#include <util/partition.hpp>
#include <util/range.hpp>
#include <profiling/profiler.hpp>
@@ -36,28 +39,37 @@ public:
cell_group() = default;
- cell_group(cell_gid_type gid, const cell& c) :
- gid_base_{gid}
+ template <typename Cells>
+ cell_group(cell_gid_type first_gid, const Cells& cells):
+ gid_base_{first_gid}
{
- detector_handles_.resize(c.detectors().size());
- target_handles_.resize(c.synapses().size());
- probe_handles_.resize(c.probes().size());
+ // Create lookup structure for probe and target ids.
+ build_handle_partitions(cells);
+ std::size_t n_probes = probe_handle_divisions_.back();
+ std::size_t n_targets = target_handle_divisions_.back();
+ std::size_t n_detectors =
+ algorithms::sum(util::transform_view(cells, [](const cell& c) { return c.detectors().size(); }));
- cell_.initialize(util::singleton_view(c), detector_handles_, target_handles_, probe_handles_);
+ // Allocate space to store handles.
+ detector_handles_.resize(n_detectors);
+ target_handles_.resize(n_targets);
+ probe_handles_.resize(n_probes);
- // Create spike detectors and associate them with globally unique source ids,
- // as specified by cell gid and cell-local zero-based index.
+ cell_.initialize(cells, detector_handles_, target_handles_, probe_handles_);
+ // Create spike detectors and associate them with globally unique source ids.
cell_gid_type source_gid = gid_base_;
- cell_lid_type source_lid = 0u;
-
unsigned i = 0;
- for (auto& d : c.detectors()) {
- cell_member_type source_id{source_gid, source_lid++};
-
- spike_sources_.push_back({
- source_id, spike_detector_type(cell_, detector_handles_[i], d.threshold, 0.f)
- });
+ for (const auto& cell: cells) {
+ cell_lid_type source_lid = 0u;
+ for (auto& d: cell.detectors()) {
+ cell_member_type source_id{source_gid, source_lid++};
+
+ spike_sources_.push_back({
+ source_id, spike_detector_type(cell_, detector_handles_[i++], d.threshold, 0.f)
+ });
+ }
+ ++source_gid;
}
}
@@ -65,7 +77,7 @@ public:
clear_spikes();
clear_events();
reset_samplers();
- //initialize_cells();
+ cell_.reset();
for (auto& spike_source: spike_sources_) {
spike_source.source.reset(cell_, 0.f);
}
@@ -112,13 +124,13 @@ public:
// apply events
if (next) {
- auto handle = target_handles_[next->target.index];
+ auto handle = get_target_handle(next->target);
cell_.deliver_event(handle, next->weight);
// apply events that are due within some epsilon of the current
// time step. This should be a parameter. e.g. with for variable
// order time stepping, use the minimum possible time step size.
while(auto e = events_.pop_if_before(cell_.time()+dt/10.)) {
- auto handle = target_handles_[e->target.index];
+ auto handle = get_target_handle(next->target);
cell_.deliver_event(handle, e->weight);
}
}
@@ -151,9 +163,10 @@ public:
}
void add_sampler(cell_member_type probe_id, sampler_function s, time_type start_time = 0) {
- EXPECTS(probe_id.gid==gid_base_);
+ auto handle = get_probe_handle(probe_id);
+
auto sampler_index = uint32_t(samplers_.size());
- samplers_.push_back({probe_handles_[probe_id.index], s});
+ samplers_.push_back({handle, s});
sampler_start_times_.push_back(start_time);
sample_events_.push({sampler_index, start_time});
}
@@ -173,7 +186,7 @@ public:
}
value_type probe(cell_member_type probe_id) const {
- return cell_.probe(probe_handles_[probe_id.index]);
+ return cell_.probe(get_probe_handle(probe_id));
}
private:
@@ -216,6 +229,50 @@ private:
/// collection of samplers to be run against probes in this group
std::vector<sampler_entry> samplers_;
+
+ /// lookup table for probe ids -> local probe handle indices
+ std::vector<std::size_t> probe_handle_divisions_;
+
+ /// lookup table for target ids -> local target handle indices
+ std::vector<std::size_t> target_handle_divisions_;
+
+ /// build handle index lookup tables
+ template <typename Cells>
+ void build_handle_partitions(const Cells& cells) {
+ auto probe_counts = util::transform_view(cells, [](const cell& c) { return c.probes().size(); });
+ auto target_counts = util::transform_view(cells, [](const cell& c) { return c.synapses().size(); });
+
+ make_partition(probe_handle_divisions_, probe_counts);
+ make_partition(target_handle_divisions_, target_counts);
+ }
+
+ /// use handle partition to get index from id
+ template <typename Divisions>
+ std::size_t handle_partition_lookup(const Divisions& divisions_, cell_member_type id) const {
+ // NB: without any assertion checking, this would just be:
+ // return divisions_[id.gid-gid_base_]+id.index;
+
+ EXPECTS(id.gid>=gid_base_);
+
+ auto handle_partition = util::partition_view(divisions_);
+ EXPECTS(id.gid-gid_base_<handle_partition.size());
+
+ auto ival = handle_partition[id.gid-gid_base_];
+ std::size_t i = ival.first + id.index;
+ EXPECTS(i<ival.second);
+
+ return i;
+ }
+
+ /// get probe handle from probe id
+ probe_handle get_probe_handle(cell_member_type probe_id) const {
+ return probe_handles_[handle_partition_lookup(probe_handle_divisions_, probe_id)];
+ }
+
+ /// get target handle from target id
+ target_handle get_target_handle(cell_member_type target_id) const {
+ return target_handles_[handle_partition_lookup(target_handle_divisions_, target_id)];
+ }
};
} // namespace mc
diff --git a/src/communication/communicator.hpp b/src/communication/communicator.hpp
index 13d4a54303da74aefbcab0bc4d0ecc3636d7f472..6d1377f49213871fe5a8146217babb9866cdd6bc 100644
--- a/src/communication/communicator.hpp
+++ b/src/communication/communicator.hpp
@@ -13,6 +13,7 @@
#include <spike.hpp>
#include <util/debug.hpp>
#include <util/double_buffer.hpp>
+#include <util/partition.hpp>
namespace nest {
namespace mc {
@@ -41,19 +42,18 @@ public:
using event_queue =
std::vector<postsynaptic_spike_event<time_type>>;
- communicator() = default;
+ using gid_partition_type =
+ util::partition_range<std::vector<cell_gid_type>::const_iterator>;
- // TODO
- // for now, still assuming one-to-one association cells <-> groups,
- // so that 'group' gids as represented by their first cell gid are
- // contiguous.
- communicator(id_type cell_from, id_type cell_to):
- cell_gid_from_(cell_from), cell_gid_to_(cell_to)
+ communicator() {}
+
+ explicit communicator(gid_partition_type cell_gid_partition):
+ cell_gid_partition_(cell_gid_partition)
{}
cell_local_size_type num_groups_local() const
{
- return cell_gid_to_-cell_gid_from_;
+ return cell_gid_partition_.size();
}
void add_connection(connection_type con) {
@@ -63,7 +63,7 @@ public:
/// returns true if the cell with gid is on the domain of the caller
bool is_local_cell(id_type gid) const {
- return gid>=cell_gid_from_ && gid<cell_gid_to_;
+ return algorithms::in_interval(gid, cell_gid_partition_.bounds());
}
/// builds the optimized data structure
@@ -135,9 +135,8 @@ public:
private:
std::size_t cell_group_index(cell_gid_type cell_gid) const {
- // this will be more elaborate when there is more than one cell per cell group
- EXPECTS(cell_gid>=cell_gid_from_ && cell_gid<cell_gid_to_);
- return cell_gid-cell_gid_from_;
+ EXPECTS(is_local_cell(cell_gid));
+ return cell_gid_partition_.find(cell_gid)-cell_gid_partition_.begin();
}
std::vector<connection_type> connections_;
@@ -145,8 +144,8 @@ private:
communication_policy_type communication_policy_;
uint64_t num_spikes_ = 0u;
- id_type cell_gid_from_;
- id_type cell_gid_to_;
+
+ gid_partition_type cell_gid_partition_;
};
} // namespace communication
diff --git a/src/fvm_multicell.hpp b/src/fvm_multicell.hpp
index 9100a8fb56789be83fb950f7ff666e8dc6c0ffa8..f885906f1ce52902eca89403d27cde9e25559924 100644
--- a/src/fvm_multicell.hpp
+++ b/src/fvm_multicell.hpp
@@ -373,20 +373,23 @@ void fvm_multicell<T, I>::initialize(
EXPECTS(targets_count < targets_size);
const auto& name = syn.mechanism.name();
- std::size_t index = 0;
+ std::size_t syn_mech_index = 0;
if (syn_mech_indices.count(name)==0) {
- index = syn_mech_map.size();
- syn_mech_indices[name] = index;
+ syn_mech_index = syn_mech_map.size();
+ syn_mech_indices[name] = syn_mech_index;
syn_mech_map.push_back(std::vector<size_type>{});
}
else {
- index = syn_mech_indices[name];
+ syn_mech_index = syn_mech_indices[name];
}
+ auto& map_entry = syn_mech_map[syn_mech_index];
+
size_type syn_comp = comps.first+find_compartment_index(syn.location, graph);
- syn_mech_map[index].push_back(syn_comp);
+ size_type syn_index = map_entry.size();
+ map_entry.push_back(syn_comp);
- *target_hi++ = target_handle{index, syn_mech_map[index].size()};
+ *target_hi++ = target_handle{syn_mech_index, syn_index};
++targets_count;
}
diff --git a/src/model.hpp b/src/model.hpp
index 5d0ce4fd8bcbe010cec3629e4b5d1adde38bcd96..2298e5af8365151654b2ca8a266f0dce2f82041b 100644
--- a/src/model.hpp
+++ b/src/model.hpp
@@ -15,6 +15,8 @@
#include <recipe.hpp>
#include <thread_private_spike_store.hpp>
#include <util/nop.hpp>
+#include <util/partition.hpp>
+#include <util/range.hpp>
#include "trace_sampler.hpp"
@@ -37,27 +39,36 @@ public:
probe_spec probe;
};
- model(const recipe& rec, cell_gid_type cell_from, cell_gid_type cell_to):
- cell_from_(cell_from),
- cell_to_(cell_to),
- communicator_(cell_from, cell_to)
+ template <typename Iter>
+ model(const recipe& rec, const util::partition_range<Iter>& groups):
+ cell_group_divisions_(groups.divisions().begin(), groups.divisions().end())
{
+ // set up communicator based on partition
+ communicator_ = communicator_type{gid_partition()};
+
// generate the cell groups in parallel, with one task per cell group
- cell_groups_ = std::vector<cell_group_type>{cell_to_-cell_from_};
+ cell_groups_ = std::vector<cell_group_type>{gid_partition().size()};
threading::parallel_vector<probe_record> probes;
- threading::parallel_for::apply(cell_from_, cell_to_,
+ threading::parallel_for::apply(0, cell_groups_.size(),
[&](cell_gid_type i) {
PE("setup", "cells");
- auto cell = rec.get_cell(i);
- auto idx = i-cell_from_;
- cell_groups_[idx] = cell_group_type(i, cell);
-
- cell_lid_type j = 0;
- for (const auto& probe: cell.probes()) {
- cell_member_type probe_id{i,j++};
- probes.push_back({probe_id, probe});
+
+ auto gids = gid_partition()[i];
+ std::vector<cell> cells{gids.second-gids.first};
+
+ for (auto gid: util::make_span(gids)) {
+ auto i = gid-gids.first;
+ cells[i] = rec.get_cell(gid);
+
+ cell_lid_type j = 0;
+ for (const auto& probe: cells[i].probes()) {
+ cell_member_type probe_id{gid, j++};
+ probes.push_back({probe_id, probe});
+ }
}
+
+ cell_groups_[i] = cell_group_type(gids.first, cells);
PL(2);
});
@@ -65,7 +76,7 @@ public:
probes_.assign(probes.begin(), probes.end());
// generate the network connections
- for (cell_gid_type i=cell_from_; i<cell_to_; ++i) {
+ for (cell_gid_type i: util::make_span(gid_partition().bounds())) {
for (const auto& cc: rec.connections_on(i)) {
connection<time_type> conn{cc.source, cc.dest, cc.weight, cc.delay};
communicator_.add_connection(conn);
@@ -187,11 +198,11 @@ public:
}
void attach_sampler(cell_member_type probe_id, sampler_function f, time_type tfrom = 0) {
- // TODO: translate probe_id.gid to appropriate group, but for now 1-1.
- if (probe_id.gid<cell_from_ || probe_id.gid>=cell_to_) {
+ if (!algorithms::in_interval(probe_id.gid, gid_partition().bounds())) {
return;
}
- cell_groups_[probe_id.gid-cell_from_].add_sampler(probe_id, f, tfrom);
+
+ cell_groups_[gid_partition().index(probe_id.gid)].add_sampler(probe_id, f, tfrom);
}
const std::vector<probe_record>& probes() const { return probes_; }
@@ -199,12 +210,14 @@ public:
std::size_t num_spikes() const {
return communicator_.num_spikes();
}
+
std::size_t num_groups() const {
return cell_groups_.size();
}
+
std::size_t num_cells() const {
- // TODO: fix when the assumption that there is one cell per cell group is no longer valid
- return num_groups();
+ auto bounds = gid_partition().bounds();
+ return bounds.second-bounds.first;
}
// register a callback that will perform a export of the global
@@ -220,18 +233,22 @@ public:
}
private:
- cell_gid_type cell_from_;
- cell_gid_type cell_to_;
+ std::vector<cell_gid_type> cell_group_divisions_;
+
+ auto gid_partition() const -> decltype(util::partition_view(cell_group_divisions_)) {
+ return util::partition_view(cell_group_divisions_);
+ }
+
time_type t_ = 0.;
std::vector<cell_group_type> cell_groups_;
communicator_type communicator_;
std::vector<probe_record> probes_;
using event_queue_type = typename communicator_type::event_queue;
- util::double_buffer< std::vector<event_queue_type> > event_queues_;
+ util::double_buffer<std::vector<event_queue_type>> event_queues_;
using local_spike_store_type = thread_private_spike_store<time_type>;
- util::double_buffer< local_spike_store_type > local_spikes_;
+ util::double_buffer<local_spike_store_type> local_spikes_;
spike_export_function global_export_callback_ = util::nop_function;
spike_export_function local_export_callback_ = util::nop_function;
diff --git a/src/util/debug.hpp b/src/util/debug.hpp
index be2b3d51e4d7bf9b5d4c5fb9b7c78855c5e4b4c5..f189852dc1bd49685920af2c0effdabf5a9ac132 100644
--- a/src/util/debug.hpp
+++ b/src/util/debug.hpp
@@ -78,5 +78,6 @@ void debug_emit_trace(const char* file, int line, const char* varlist, const Arg
(void)((condition) || \
nest::mc::util::global_failed_assertion_handler(#condition, __FILE__, __LINE__, DEBUG_FUNCTION_NAME))
#else
- #define EXPECTS(condition)
+ #define EXPECTS(condition) \
+ (void)(false && (condition))
#endif // def WITH_ASSERTIONS
diff --git a/src/util/partition.hpp b/src/util/partition.hpp
index b35f81de8fa1f40217e331dd96e09a11eba1c174..376b769ebd4c43a3aa62ee39764ca8b5a90efaf7 100644
--- a/src/util/partition.hpp
+++ b/src/util/partition.hpp
@@ -29,12 +29,17 @@ class partition_range: public range<partition_iterator<I>> {
public:
using typename base::iterator;
using typename base::value_type;
+ using typename base::size_type;
using base::left;
using base::right;
using base::front;
using base::back;
using base::empty;
+ static constexpr size_type npos = static_cast<size_type>(-1);
+
+ partition_range() = default;
+
template <typename Seq>
partition_range(const Seq& s): base{std::begin(s), upto(std::begin(s), std::end(s))} {
EXPECTS(is_valid());
@@ -62,6 +67,11 @@ public:
return iterator{std::prev(i)};
}
+ size_type index(const inner_value_type& x) const {
+ iterator i = find(x);
+ return i==right? npos: i-left;
+ }
+
// access to underlying divisions
range<I> divisions() const {
return {left.get(), std::next(right.get())};
diff --git a/src/util/partition_iterator.hpp b/src/util/partition_iterator.hpp
index f13b82f25d43c604680ff4e96b3efd6936e98aea..dae1475ce91382801d6d827fd3f66f30da9c7a8d 100644
--- a/src/util/partition_iterator.hpp
+++ b/src/util/partition_iterator.hpp
@@ -37,6 +37,8 @@ public:
using pointer = const value_type*;
using reference = const value_type&;
+ partition_iterator() = default;
+
template <
typename J,
typename = enable_if_t<!std::is_same<decay_t<J>, partition_iterator>::value>
diff --git a/src/util/range.hpp b/src/util/range.hpp
index 6bcb4c2567d79873cbaffb19f9ca642bb4bddc61..89fcaddbfc8b0b6161f97bd5f3f2cb0cc2d20545 100644
--- a/src/util/range.hpp
+++ b/src/util/range.hpp
@@ -336,6 +336,30 @@ void append(Container &c, const Seq& seq) {
c.insert(c.end(), seq.begin(), seq.end());
}
+template <typename AssignableContainer, typename Seq>
+AssignableContainer& assign(AssignableContainer& c, const Seq& seq) {
+ c.assign(seq.begin(), seq.end());
+ return c;
+}
+
+template <typename Seq>
+range<typename sequence_traits<Seq>::iterator_type, typename sequence_traits<Seq>::sentinel_type>
+range_view(Seq& seq) {
+ return make_range(std::begin(seq), std::end(seq));
+}
+
+template <
+ typename Seq,
+ typename Iter = typename sequence_traits<Seq>::iterator_type,
+ typename Size = typename sequence_traits<Seq>::size_type
+>
+enable_if_t<is_forward_iterator<Iter>::value, range<Iter>>
+subrange_view(Seq& seq, Size bi, Size ei) {
+ Iter b = std::next(std::begin(seq), bi);
+ Iter e = std::next(b, ei-bi);
+ return make_range(b, e);
+}
+
} // namespace util
} // namespace mc
} // namespace nest
diff --git a/src/util/transform.hpp b/src/util/transform.hpp
index d20b006102984e8dc40adb528cd5b4388aab21c5..a5ab0b348a61fb0f3a174058dc31fdb128776e24 100644
--- a/src/util/transform.hpp
+++ b/src/util/transform.hpp
@@ -37,6 +37,8 @@ public:
using pointer = const value_type*;
using reference = const value_type&;
+ transform_iterator() = default;
+
template <typename J, typename G>
transform_iterator(J&& c, G&& g): inner_(std::forward<J>(c)), f_(std::forward<G>(g)) {}
diff --git a/tests/unit/test_cell_group.cpp b/tests/unit/test_cell_group.cpp
index 99b46e564d66edc03643fba738dcd134ef9ac90c..9b3f6e6a0b13f7338558889e40e47d7fe7ed99c8 100644
--- a/tests/unit/test_cell_group.cpp
+++ b/tests/unit/test_cell_group.cpp
@@ -1,8 +1,9 @@
#include "gtest.h"
+#include <cell_group.hpp>
#include <common_types.hpp>
#include <fvm_cell.hpp>
-#include <cell_group.hpp>
+#include <util/range.hpp>
#include "../test_common_cells.hpp"
@@ -22,7 +23,7 @@ TEST(cell_group, test)
using namespace nest::mc;
using cell_group_type = cell_group<fvm::fvm_cell<double, cell_local_size_type>>;
- auto group = cell_group_type{0, make_cell()};
+ auto group = cell_group_type{0, util::singleton_view(make_cell())};
group.advance(50, 0.01);
@@ -44,7 +45,7 @@ TEST(cell_group, sources)
cell.add_detector({1, 0.3}, 2.3);
cell_gid_type first_gid = 37u;
- auto group = cell_group_type{first_gid, cell};
+ auto group = cell_group_type{first_gid, util::singleton_view(cell)};
// expect group sources to be lexicographically sorted by source id
// with gids in cell group's range and indices starting from zero
diff --git a/tests/validation/validate_ball_and_stick.cpp b/tests/validation/validate_ball_and_stick.cpp
index da34cfcff48d5bae6829edf81140b322c7a7c107..2a5ec45ccd575dc5f12ad79f565996d584b41a22 100644
--- a/tests/validation/validate_ball_and_stick.cpp
+++ b/tests/validation/validate_ball_and_stick.cpp
@@ -3,7 +3,8 @@
#include <common_types.hpp>
#include <cell.hpp>
-#include <fvm_cell.hpp>
+//#include <fvm_cell.hpp>
+#include <fvm_multicell.hpp>
#include <util/range.hpp>
#include "gtest.h"
@@ -72,7 +73,7 @@ TEST(ball_and_stick, neuron_baseline)
}
};
- using fvm_cell = fvm::fvm_cell<double, cell_local_size_type>;
+ using fvm_cell = fvm::fvm_multicell<double, cell_local_size_type>;
std::vector<fvm_cell::detector_handle> detectors(cell.detectors().size());
std::vector<fvm_cell::target_handle> targets(cell.synapses().size());
std::vector<fvm_cell::probe_handle> probes(cell.probes().size());
@@ -207,7 +208,7 @@ TEST(ball_and_3stick, neuron_baseline)
}
};
- using fvm_cell = fvm::fvm_cell<double, cell_local_size_type>;
+ using fvm_cell = fvm::fvm_multicell<double, cell_local_size_type>;
std::vector<fvm_cell::detector_handle> detectors(cell.detectors().size());
std::vector<fvm_cell::target_handle> targets(cell.synapses().size());
std::vector<fvm_cell::probe_handle> probes(cell.probes().size());
diff --git a/tests/validation/validate_synapses.cpp b/tests/validation/validate_synapses.cpp
index 9aa90abef6f6178a6285f9a1d5db2e9d1cb1d4f1..d1de3df06945b33466ccbbc105d412196c0a5f0b 100644
--- a/tests/validation/validate_synapses.cpp
+++ b/tests/validation/validate_synapses.cpp
@@ -8,6 +8,7 @@
#include <cell_group.hpp>
#include <fvm_cell.hpp>
#include <mechanism_interface.hpp>
+#include <util/range.hpp>
#include "gtest.h"
#include "../test_util.hpp"
@@ -108,7 +109,7 @@ void run_neuron_baseline(const char* syn_type, const char* data_file)
std::vector<std::vector<double>> v(2);
// make the lowered finite volume cell
- cell_group<lowered_cell> group(0, cell);
+ cell_group<lowered_cell> group(0, util::singleton_view(cell));
// add the 3 spike events to the queue
group.enqueue_events(synthetic_events);