Beispiel #1
0
 def test_consistency(self):
     N = 5000
     parameters = {'p':.6}
     samples = []
     for i in range(N):
         samples.append(rbernoulli(**parameters))
     H = np.bincount(samples)*1./N
     l0 = exp(flib.bernoulli(0, **parameters))
     l1 = exp(flib.bernoulli(1, **parameters))
     assert_array_almost_equal(H, [l0,l1], 2)
     # Check normalization
     assert_almost_equal(l0+l1, 1, 4)
 def test_consistency(self):
     N = 5000
     parameters = {'p': .6}
     samples = []
     for i in range(N):
         samples.append(rbernoulli(**parameters))
     H = np.bincount(samples) * 1. / N
     l0 = exp(flib.bernoulli(0, **parameters))
     l1 = exp(flib.bernoulli(1, **parameters))
     assert_array_almost_equal(H, [l0, l1], 1)
     # Check normalization
     assert_almost_equal(l0 + l1, 1, 4)
Beispiel #3
0
 def test_calling(self):
     a = flib.bernoulli([0,1,1,0], .4)
     b = flib.bernoulli([0,1,1,0], [.4, .4, .4, .4])
     assert_array_equal(b,a)
 def test_calling(self):
     a = flib.bernoulli([0, 1, 1, 0], .4)
     b = flib.bernoulli([0, 1, 1, 0], [.4, .4, .4, .4])
     assert_array_equal(b, a)