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[fix] Numpy 2 breaking changes in tests

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This commit is contained in:
Fabian Joswig 2024-04-14 11:11:26 +02:00
parent 9f46bf8966
commit ea4bbc918d
2 changed files with 8 additions and 8 deletions
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2
tests/linalg_test.py
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@ -299,7 +299,7 @@ def test_matrix_functions():
# Check eigv # Check eigv
v2 = pe.linalg.eigv(sym) v2 = pe.linalg.eigv(sym)
assert(np.all(v - v2).is_zero()) assert np.sum(v - v2).is_zero()
# Check eig function # Check eig function
e2 = pe.linalg.eig(sym) e2 = pe.linalg.eig(sym)

14
tests/obs_test.py
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@ -777,11 +777,11 @@ def test_gamma_method_irregular():
carr = gen_autocorrelated_array(arr, .8) carr = gen_autocorrelated_array(arr, .8)
o = pe.Obs([carr], ['test']) o = pe.Obs([carr], ['test'])
o.gamma_method() o.gamma_method()
no = np.NaN * o no = np.nan * o
no.gamma_method() no.gamma_method()
o.idl['test'] = range(1, 1998, 2) o.idl['test'] = range(1, 1998, 2)
o.gamma_method() o.gamma_method()
no = np.NaN * o no = np.nan * o
no.gamma_method() no.gamma_method()
@ -839,7 +839,7 @@ def test_covariance_vs_numpy():
data1 = np.random.normal(2.5, 0.2, N) data1 = np.random.normal(2.5, 0.2, N)
data2 = np.random.normal(0.5, 0.08, N) data2 = np.random.normal(0.5, 0.08, N)
data3 = np.random.normal(-178, 5, 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 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]: for X in [uncorr, corr]:
@ -1276,7 +1276,7 @@ def test_nan_obs():
no.gamma_method() no.gamma_method()
o.idl['test'] = [1, 5] + list(range(7, 2002, 2)) o.idl['test'] = [1, 5] + list(range(7, 2002, 2))
no = np.NaN * o no = np.nan * o
no.gamma_method() 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, 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, 2.48497, 4) == '0.548(2.485)'
assert pe.obs._format_uncertainty(0.548, 20078.3, 9) == '0.5480(20078.3000)' 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(np.nan, 1)
pe.obs._format_uncertainty(1, np.NaN) pe.obs._format_uncertainty(1, np.nan)
pe.obs._format_uncertainty(np.NaN, np.inf) pe.obs._format_uncertainty(np.nan, np.inf)
def test_format(): def test_format():