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26 changes: 14 additions & 12 deletions trackpy/linking.py
Original file line number Diff line number Diff line change
Expand Up @@ -1040,9 +1040,8 @@ def link(self, levels):
p.forward_cands = []

# Sort out what can go to what.
if len(cur_level) > 0 and len(prev_hash) > 0:
assign_candidates(cur_level, prev_hash, self.search_range,
self.neighbor_strategy)
assign_candidates(cur_level, prev_hash, self.search_range,
self.neighbor_strategy)

# sort the candidate lists by distance
for p in cur_set:
Expand Down Expand Up @@ -1233,15 +1232,18 @@ def assign_candidates(cur_level, prev_hash, search_range, neighbor_strategy):
p.back_cands.append((wp, d))
wp.forward_cands.append((p, d))
elif neighbor_strategy == 'KDTree':
hashpts = prev_hash.points
cur_coords = np.array([x.pos for x in cur_level])
dists, inds = prev_hash.kdtree.query(cur_coords, 10, distance_upper_bound=search_range)
nn = np.sum(np.isfinite(dists), 1) # Number of neighbors of each particle
for i, p in enumerate(cur_level):
for j in range(nn[i]):
wp = hashpts[inds[i, j]]
p.back_cands.append((wp, dists[i, j]))
wp.forward_cands.append((p, dists[i, j]))
# kdtree.query() would raise exception on empty level.
if len(cur_level) and len(prev_hash):
cur_coords = np.array([x.pos for x in cur_level])
hashpts = prev_hash.points
dists, inds = prev_hash.kdtree.query(cur_coords, 10,
distance_upper_bound=search_range)
nn = np.sum(np.isfinite(dists), 1) # Number of neighbors of each particle
for i, p in enumerate(cur_level):
for j in range(nn[i]):
wp = hashpts[inds[i, j]]
p.back_cands.append((wp, dists[i, j]))
wp.forward_cands.append((p, dists[i, j]))


class SubnetOversizeException(Exception):
Expand Down