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""" test_sync_filter.py
Tests the spike sync based filtering
Copyright 2015, Mario Mulansky <mario.mulansky@gmx.net>
Distributed under the BSD License
"""
from __future__ import print_function
import numpy as np
from numpy.testing import assert_equal, assert_almost_equal, \
assert_array_almost_equal
import pyspike as spk
from pyspike import SpikeTrain
def test_cython():
st1 = np.array([1.0, 2.0, 3.0, 4.0])
st2 = np.array([1.1, 2.1, 3.8])
# cython implementation
try:
from pyspike.cython.cython_profiles import coincidence_single_profile_cython \
as coincidence_impl
except ImportError:
from pyspike.cython.python_backend import coincidence_single_profile_python \
as coincidence_impl
sync_prof = spk.spike_sync_profile(SpikeTrain(st1, 5.0),
SpikeTrain(st2, 5.0))
coincidences = np.array(coincidence_impl(st1, st2, 0, 5.0, 0.0))
for i, t in enumerate(st1):
assert_equal(coincidences[i], sync_prof.y[sync_prof.x == t],
"At index %d" % i)
coincidences = np.array(coincidence_impl(st2, st1, 0, 5.0, 0.0))
for i, t in enumerate(st2):
assert_equal(coincidences[i], sync_prof.y[sync_prof.x == t],
"At index %d" % i)
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