def test_cc_m():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
arrs = get_sample_arrays_cplx()
ms = [4, 8, 10, 16, 20, 64, 128]
a = np.concatenate(arrs)
res = []
for m in ms:
r = multipletau.correlate(a=a,
v=a,
m=m,
deltat=1,
normalize=False,
copy=True,
dtype=np.complex_)
res.append(r)
# test minimal length of array
_r2 = multipletau.correlate(a=a[:2 * m],
v=a[:2 * m],
m=m,
deltat=1,
normalize=False,
copy=True,
dtype=np.complex_)
res = np.concatenate(res)
#np.save(os.path.dirname(__file__)+"/data/"+os.path.basename(__file__)+"_"+myname+".npy", res)
ref = get_reference_data(myname, __file__)
assert np.allclose(res, ref, atol=0, rtol=1e-15)
def test_cc_m():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
arrs = get_sample_arrays_cplx()
ms = [4, 8, 10, 16, 20, 64, 128]
a = np.concatenate(arrs)
res = []
for m in ms:
r = multipletau.correlate(a=a,
v=a,
m=m,
deltat=1,
normalize=False,
copy=True,
dtype=np.complex)
res.append(r)
# test minimal length of array
_r2 = multipletau.correlate(a=a[:2*m],
v=a[:2*m],
m=m,
deltat=1,
normalize=False,
copy=True,
dtype=np.complex)
res = np.concatenate(res)
#np.save(os.path.dirname(__file__)+"/data/"+os.path.basename(__file__)+"_"+myname+".npy", res)
ref = get_reference_data(myname, __file__)
assert np.all(res==ref)
def test_cc_normalize():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
arrs = get_sample_arrays_cplx()
res = []
for a in arrs:
r = multipletau.correlate(a=a.real,
v=a.imag,
m=16,
deltat=1,
normalize=True,
copy=True,
dtype=np.float_)
res.append(r)
res = np.concatenate(res)
#np.save(os.path.dirname(__file__)+"/data/"+os.path.basename(__file__)+"_"+myname+".npy", res)
ref = get_reference_data(myname, __file__)
assert np.allclose(res, ref, atol=0, rtol=1e-14)
def test_cc_simple():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
arrs = get_sample_arrays_cplx()
res = []
for a in arrs:
r = multipletau.correlate(a=a,
v=a,
m=16,
deltat=1,
normalize=False,
copy=True,
dtype=np.complex_)
res.append(r)
res = np.concatenate(res)
# np.save(os.path.dirname(__file__)
# + "/data/"+os.path.basename(__file__)+"_"+myname+".npy", res)
ref = get_reference_data(myname, __file__)
assert np.allclose(res, ref, atol=0, rtol=1e-15)
# also check result of autocorrelate
res2 = []
for a in arrs:
r = multipletau.autocorrelate(a=a,
m=16,
deltat=1,
normalize=False,
copy=True,
dtype=np.complex_)
res2.append(r)
res2 = np.concatenate(res2)
assert np.allclose(res, res2, atol=0, rtol=1e-15)
def test_cc_simple():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
arrs = get_sample_arrays_cplx()
res = []
for a in arrs:
r = multipletau.correlate(a=a,
v=a,
m=16,
deltat=1,
normalize=False,
copy=True,
dtype=np.complex_)
res.append(r)
res = np.concatenate(res)
# np.save(os.path.dirname(__file__)
# + "/data/"+os.path.basename(__file__)+"_"+myname+".npy", res)
ref = get_reference_data(myname, __file__)
assert np.allclose(res, ref, atol=0, rtol=1e-15)
# also check result of autocorrelate
res2 = []
for a in arrs:
r = multipletau.autocorrelate(a=a,
m=16,
deltat=1,
normalize=False,
copy=True,
dtype=np.complex_)
res2.append(r)
res2 = np.concatenate(res2)
assert np.allclose(res, res2, atol=0, rtol=1e-15)
def test_cc_normalize():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
arrs = get_sample_arrays_cplx()
res = []
for a in arrs:
r = multipletau.correlate(a=a.real,
v=a.imag,
m=16,
deltat=1,
normalize=True,
copy=True,
dtype=np.float_)
res.append(r)
res = np.concatenate(res)
# np.save(os.path.dirname(__file__)
# + "/data/"+os.path.basename(__file__)+"_"+myname+".npy", res)
ref = get_reference_data(myname, __file__)
assert np.allclose(res, ref, atol=0, rtol=1e-14)
