diff --git a/tests/linalg_test.py b/tests/linalg_test.py index 49c2159f..329becb3 100644 --- a/tests/linalg_test.py +++ b/tests/linalg_test.py @@ -299,7 +299,7 @@ def test_matrix_functions(): # Check eigv v2 = pe.linalg.eigv(sym) - assert(np.all(v - v2).is_zero()) + assert np.sum(v - v2).is_zero() # Check eig function e2 = pe.linalg.eig(sym) diff --git a/tests/obs_test.py b/tests/obs_test.py index 0631effe..eed560af 100644 --- a/tests/obs_test.py +++ b/tests/obs_test.py @@ -777,11 +777,11 @@ def test_gamma_method_irregular(): carr = gen_autocorrelated_array(arr, .8) o = pe.Obs([carr], ['test']) o.gamma_method() - no = np.NaN * o + no = np.nan * o no.gamma_method() o.idl['test'] = range(1, 1998, 2) o.gamma_method() - no = np.NaN * o + no = np.nan * o no.gamma_method() @@ -839,7 +839,7 @@ def test_covariance_vs_numpy(): data1 = np.random.normal(2.5, 0.2, N) data2 = np.random.normal(0.5, 0.08, N) data3 = np.random.normal(-178, 5, N) - uncorr = np.row_stack([data1, data2, data3]) + uncorr = np.vstack([data1, data2, data3]) corr = np.random.multivariate_normal([0.0, 17, -0.0487], [[1.0, 0.6, -0.22], [0.6, 0.8, 0.01], [-0.22, 0.01, 1.9]], N).T for X in [uncorr, corr]: @@ -1276,7 +1276,7 @@ def test_nan_obs(): no.gamma_method() o.idl['test'] = [1, 5] + list(range(7, 2002, 2)) - no = np.NaN * o + no = np.nan * o no.gamma_method() @@ -1285,9 +1285,9 @@ def test_format_uncertainty(): assert pe.obs._format_uncertainty(0.548, 2.48497, 2) == '0.5(2.5)' assert pe.obs._format_uncertainty(0.548, 2.48497, 4) == '0.548(2.485)' assert pe.obs._format_uncertainty(0.548, 20078.3, 9) == '0.5480(20078.3000)' - pe.obs._format_uncertainty(np.NaN, 1) - pe.obs._format_uncertainty(1, np.NaN) - pe.obs._format_uncertainty(np.NaN, np.inf) + pe.obs._format_uncertainty(np.nan, 1) + pe.obs._format_uncertainty(1, np.nan) + pe.obs._format_uncertainty(np.nan, np.inf) def test_format():