def test_ccor():
#Testing the corr function independently
t1 = TimeSeries([1, 2, 3, 4], [40, 50, 60, 70])
t2 = TimeSeries([1, 2, 3, 4], [40, 50, 60, 70])
val = _corr.ccor(t1, t2)
assert(list(np.real(val)) == [12600, 12000, 11800, 12000])
assert(list(np.imag(val)) == [0, 0, 0, 0])
def test_ccor():
#Testing the corr function independently
t1 = TimeSeries([1, 2, 3, 4], [40, 50, 60, 70])
t2 = TimeSeries([1, 2, 3, 4], [40, 50, 60, 70])
val = _corr.ccor(t1, t2)
assert (list(np.real(val)) == [12600, 12000, 11800, 12000])
assert (list(np.imag(val)) == [0, 0, 0, 0])
def test_corr():
"""
Test cross-correlation functions.
"""
arr_1 = np.linspace(1, 0, 50, dtype=complex)
arr_2 = np.arange(0, 50, dtype=complex)
ts_1 = TimeSeries(arr_2, arr_1)
ts_2 = TimeSeries(arr_2, arr_2)
out_arr = _corr.ccor(ts_1, ts_2)
# Ensure result is consistent with numpy.fft.
test_arr = np.fft.ifft(np.fft.fft(ts_1) * np.conj(np.fft.fft(ts_2)))
assert np.allclose(out_arr, test_arr)
# Test max_corr_at_phase using actual precomputed value of maxcorr.
idx, maxcorr = _corr.max_corr_at_phase(ts_1, ts_2)
assert idx == 25
assert np.isclose(maxcorr, 718.87755102040819)
def test_corr():
"""
Test cross-correlation functions.
"""
arr_1 = np.linspace(1, 0, 50, dtype=complex)
arr_2 = np.arange(0, 50, dtype=complex)
ts_1 = TimeSeries(arr_2, arr_1)
ts_2 = TimeSeries(arr_2, arr_2)
out_arr = _corr.ccor(ts_1, ts_2)
# Ensure result is consistent with numpy.fft.
test_arr = np.fft.ifft(np.fft.fft(ts_1) * np.conj(np.fft.fft(ts_2)))
assert np.allclose(out_arr, test_arr)
# Test max_corr_at_phase using actual precomputed value of maxcorr.
idx, maxcorr = _corr.max_corr_at_phase(ts_1, ts_2)
assert idx == 25
assert np.isclose(maxcorr, 718.87755102040819)