def test_gen_pval_anal_default(self):
mat = np.array([[[1, 1, 1, 1, 0], [0, 1, 1, 1, 0], [0, 1, 1, 0, 1]],
[[1, 1, 1, 1, 1], [0, 1, 1, 1, 1], [1, 1, 0, 1, 0]]])
pattern_hash = np.array([5, 6])
expected = np.array([1.56, 2.56])
pval_func, n_exp = ue.gen_pval_anal(mat, pattern_hash)
self.assertTrue(np.allclose(n_exp, expected))
self.assertTrue(isinstance(pval_func, types.FunctionType))
def test_gen_pval_anal_default(self):
mat = np.array([[[1, 1, 1, 1, 0],
[0, 1, 1, 1, 0],
[0, 1, 1, 0, 1]],
[[1, 1, 1, 1, 1],
[0, 1, 1, 1, 1],
[1, 1, 0, 1, 0]]])
pattern_hash = np.array([5,6])
N = 3
expected = np.array([ 1.56, 2.56])
pval_func,n_exp = ue.gen_pval_anal(mat, N,pattern_hash)
self.assertTrue(np.allclose(n_exp,expected))
self.assertTrue(isinstance(pval_func, types.FunctionType))