def test_copies(self):
x = np.random.uniform(low=0, high=1, size=(2, 100))
x0 = np.copy(x[0])
x1 = np.copy(x[1])
entropy.sampen(x0, 2, 0.1)
assert_equal(x0, x[0])
entropy.fuzzyen(x0, 2, 0.1, 2)
assert_equal(x0, x[0])
entropy.cross_sampen(x0, x1, 2, 0.1)
assert_equal(x0, x[0])
assert_equal(x1, x[1])
entropy.cross_fuzzyen(x0, x1, 2, 0.1, 2)
assert_equal(x0, x[0])
assert_equal(x1, x[1])
def main():
N = 100
rs = np.logspace(-3, 0, 10)
fig, ax = plt.subplots()
es = []
for r in rs:
runs = []
for i in range(50):
x = np.random.uniform(0, 1, N)
runs.append(entropy.fuzzyen(x, 2, r, 2))
es.append(np.mean(runs))
ax.semilogx(rs, es, 'o')
ax.set_ylim(0, 6)
plt.show()
def test_fuzzyen_1d(self):
e = entropy.fuzzyen(self.data_1d, 2, 0.1, 2)
assert_almost_equal(e, 0.20953354)
