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#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Tests correlation algorithm
"""
from __future__ import division, print_function
import numpy as np
import os
from os.path import abspath, basename, dirname, join, split, exists
import platform
import sys
import warnings
import zipfile
# Add parent directory to beginning of path variable
DIR = dirname(abspath(__file__))
sys.path = [split(DIR)[0]] + sys.path
import multipletau
from test_autocorrelate import get_reference_data
def get_sample_arrays_cplx():
a = [-4.3, 1, 9, -99.2, 13]
b = [9921, 281, 23.5, 5.3, 77]
c = [ 12, 0, 2.1, 1.3, 33]
d = [ 32, .1, -2, 6.3, 88]
l = [ 33, 92, 47, 54, 99]
r = [ 0, 1, 12, 4, 0]
p = [ 1, 4, .5, 2, 3]
arrs = []
for ai, bi, ci, di, li, ri, pi in zip(a,b,c,d,l,r,p):
x = np.linspace(ai,bi,li)
y = np.linspace(ci,di,li)
arr = (x*np.roll(x,ri))**pi + 1j*y
arrs.append(arr)
return arrs
def test_cc_copy():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
arrs = get_sample_arrays_cplx()
res1 = []
for a in arrs:
r = multipletau.correlate(a=a,
v=a,
m=16,
deltat=1,
normalize=True,
copy=True)
res1.append(r)
res2 = []
for a in arrs:
r = multipletau.correlate(a=a,
v=a,
m=16,
deltat=1,
normalize=True,
copy=False)
res2.append(r)
# simple test if result is the same
assert np.all(np.concatenate(res1) == np.concatenate(res2))
arrs = np.concatenate(arrs)
refarrs = np.concatenate(get_sample_arrays_cplx())
# make sure the copy function really changes something
assert not np.all(arrs == refarrs)
def test_cc_dtype():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
a = np.round(get_sample_arrays_cplx()[0].real)
# integer
rf = multipletau.correlate(a=a,
v=a,
m=16,
deltat=1,
normalize=True,
copy=True,
dtype=np.float_)
ri = multipletau.correlate(a=a,
v=a,
m=16,
deltat=1,
normalize=True,
copy=True,
dtype=np.int_)
ri2 = multipletau.correlate(a=np.array(a, dtype=np.int_),
v=np.array(a, dtype=np.int_),
m=16,
deltat=1,
normalize=True,
copy=True,
dtype=None)
assert ri.dtype == np.dtype(np.float_), "if wrong dtype, dtype should default to np.float_"
assert ri2.dtype == np.dtype(np.float_), "if wrong dtype, dtype should default to np.float_"
assert np.all(rf == ri), "result should be the same, because input us the same"
assert np.all(rf == ri2), "result should be the same, because input us the same"
def test_cc_dtype2():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
a = np.round(get_sample_arrays_cplx()[0])
print("this should issue a warning of unequal input dtypes, casting to complex")
rf = multipletau.correlate(a=a.real,
v=a,
m=16,
deltat=1,
normalize=True,
copy=True)
assert np.dtype(rf.dtype) == np.dtype(np.complex_)
print("this should issue a warning of unequal input dtypes, casting to float")
rf2 = multipletau.correlate(a=a.real,
v=np.array(a.imag, dtype=np.int_),
m=16,
deltat=1,
normalize=True,
copy=True)
assert np.dtype(rf2.dtype) == np.dtype(np.float_)
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_wrong():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
a = get_sample_arrays_cplx()[0]
# integer
r1 = multipletau.correlate(a=a,
v=a,
m=16,
deltat=1,
normalize=True,
copy=True)
r2 = multipletau.correlate(a=a,
v=a,
m=15,
deltat=1,
normalize=True,
copy=True)
r3 = multipletau.correlate(a=a,
v=a,
m=15.5,
deltat=1,
normalize=True,
copy=True)
r4 = multipletau.correlate(a=a,
v=a,
m=14.5,
deltat=1,
normalize=True,
copy=True)
r5 = multipletau.correlate(a=a,
v=a,
m=16.,
deltat=1,
normalize=True,
copy=True)
assert np.all(r1==r2)
assert np.all(r1==r3)
assert np.all(r1==r4)
assert np.all(r1==r5)
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)
if __name__ == "__main__":
# Run all tests
loc = locals()
for key in list(loc.keys()):
if key.startswith("test_") and hasattr(loc[key], "__call__"):
loc[key]()
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