def metric(name, winSize, winAlpha, nBits=0): # {{{
'''Take attributes of a metric, return a callable implementation.
E.g. Use like: metric("foo")(x, y)
NOTE: Ex isn't really a metric but it's a convenient place to choose between
implementations by nBits.
'''
if name is None:
return None
w = powsineCoeffs(winSize, winAlpha)
assert 0 == nBits, "TODO: Implement fx*()"
assert name in metricNames or name in ["Ex"], name
fs = {
"Ex": partial(fxEx if 0 < nBits else ndEx, w, nBits=nBits),
"Cex": partial(fxCex if 0 < nBits else ndCex, w, nBits=nBits),
"Cls": partial(fxCls if 0 < nBits else ndCls, w, nBits=nBits),
"Cos": partial(fxCos if 0 < nBits else ndCos, w, nBits=nBits),
"Cov": partial(fxCov if 0 < nBits else ndCov, w, nBits=nBits),
"Dep": partial(fxDep if 0 < nBits else ndDep, w, nBits=nBits),
"Ham": partial(fxHam if 0 < nBits else ndHam, w, nBits=nBits),
"Tmt": partial(fxTmt if 0 < nBits else ndTmt, w, nBits=nBits),
}
return fs[name]
def test_SineWin(self):
w = powsineCoeffs(6, 2)
x = np.array([1, 1, 1, 0, 0, 0])
y = np.array([1, 1, 1, 0, 0, 0])
result = ndTmt(w, x, y)
self.assertAlmostEqual(result, 1.0)
def test_SineWin(self):
w = powsineCoeffs(6, 2)
x = np.array([1, 1, 1, 0, 0, 0])
result = ndEx(w, x)
self.assertAlmostEqual(result, 0.5)