def time_neighbor_search(Ntime, LStime, ndim=2):
pts, le, re, ls = make_points(Ntime, ndim, leafsize=LStime)
tree = cykdtree.PyKDTree(pts, le, re, leafsize=LStime)
t0 = time.time()
tree.get_neighbor_ids(0.5 * np.ones(tree.ndim, "double"))
t1 = time.time()
print(f"{Ntime} {ndim}D points, leafsize {LStime}: took {t1 - t0} s")
def time_tree_construction(Ntime, LStime, ndim=2):
pts, le, re, ls = make_points(Ntime, ndim, leafsize=LStime)
t0 = time.time()
cykdtree.PyKDTree(pts, le, re, leafsize=LStime)
t1 = time.time()
print("{} {}D points, leafsize {}: took {} s".format(
Ntime, ndim, LStime, t1 - t0))
def test_get_neighbor_ids(npts=100, ndim=2, periodic=False):
pts, le, re, ls = make_points(npts, ndim)
tree = cykdtree.PyKDTree(pts, le, re, leafsize=ls, periodic=periodic)
pos_list = [le, (le + re) / 2.]
if periodic:
pos_list.append(re)
for pos in pos_list:
tree.get_neighbor_ids(pos)
def time_neighbor_search(Ntime, LStime, ndim=2):
pts, le, re, ls = make_points(Ntime, ndim, leafsize=LStime)
tree = cykdtree.PyKDTree(pts, le, re, leafsize=LStime)
t0 = time.time()
tree.get_neighbor_ids(0.5 * np.ones(tree.ndim, 'double'))
t1 = time.time()
print("{} {}D points, leafsize {}: took {} s".format(
Ntime, ndim, LStime, t1 - t0))
def test_PyKDTree(npts=100,
ndim=2,
periodic=False,
use_sliding_midpoint=False):
pts, le, re, ls = make_points(npts, ndim)
cykdtree.PyKDTree(pts,
le,
re,
leafsize=ls,
periodic=periodic,
use_sliding_midpoint=use_sliding_midpoint)
def test_plot2D_serial():
fname_test = "test_plot2D_serial.png"
pts, le, re, ls = make_points(100, 2)
tree = PyKDTree(pts, le, re, leafsize=ls)
axs = plot2D_serial(tree,
pts,
title="Serial Test",
plotfile=fname_test,
label_boxes=True)
os.remove(fname_test)
# plot2D_serial(tree, pts, axs=axs)
del axs
def test_save_load():
for periodic in (True, False):
for ndim in range(1, 5):
pts, le, re, ls = make_points(100, ndim)
tree = cykdtree.PyKDTree(pts,
le,
re,
leafsize=ls,
periodic=periodic,
data_version=ndim + 12)
with tempfile.NamedTemporaryFile(delete=False) as tf:
tree.save(tf.name)
restore_tree = cykdtree.PyKDTree.from_file(tf.name)
tree.assert_equal(restore_tree)
def test_search_errors(npts=100, ndim=2):
pts, le, re, ls = make_points(npts, ndim)
tree = cykdtree.PyKDTree(pts, le, re, leafsize=ls)
assert_raises(ValueError, tree.get, re)
def test_PyKDTree_errors():
pts, le, re, ls = make_points(100, 2)
assert_raises(ValueError, cykdtree.PyKDTree, pts, le, re, leafsize=1)
def time_tree_construction(Ntime, LStime, ndim=2):
pts, le, re, ls = make_points(Ntime, ndim, leafsize=LStime)
t0 = time.time()
cykdtree.PyKDTree(pts, le, re, leafsize=LStime)
t1 = time.time()
print(f"{Ntime} {ndim}D points, leafsize {LStime}: took {t1 - t0} s")