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test: test for array mode extended

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This commit is contained in:
Fabian Joswig 2021-12-06 22:14:24 +00:00
parent 02d8f469eb
commit 93d87f8f8c
2 changed files with 4 additions and 3 deletions
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1
pyerrors/obs.py
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@ -1146,6 +1146,7 @@ def derived_observable(func, data, array_mode=False, **kwargs):
final_result = np.zeros(new_values.shape, dtype=object)
# TODO: array mode does not work when matrices are defined on differenet ensembles
if array_mode is True:
d_extracted = {}
g_extracted = {}

6
tests/linalg_test.py
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@ -153,7 +153,7 @@ def test_multi_dot():
length = 1000 + np.random.randint(200)
for i in range(dim ** 2):
my_list.append(pe.Obs([np.random.rand(length), np.random.rand(length + 1)], ['t1', 't2']))
my_array = np.array(my_list).reshape((dim, dim))
my_array = pe.cov_Obs(1.0, 0.002, 'cov') * np.array(my_list).reshape((dim, dim))
tt = pe.linalg.matmul(my_array, my_array, my_array, my_array) - my_array @ my_array @ my_array @ my_array
for t, e in np.ndenumerate(tt):
assert e.is_zero(), t
@ -163,7 +163,7 @@ def test_multi_dot():
for i in range(dim ** 2):
my_list.append(pe.CObs(pe.Obs([np.random.rand(length), np.random.rand(length + 1)], ['t1', 't2']),
pe.Obs([np.random.rand(length), np.random.rand(length + 1)], ['t1', 't2'])))
my_array = np.array(my_list).reshape((dim, dim))
my_array = np.array(my_list).reshape((dim, dim)) * pe.cov_Obs(1.0, 0.002, 'cov')
tt = pe.linalg.matmul(my_array, my_array, my_array, my_array) - my_array @ my_array @ my_array @ my_array
for t, e in np.ndenumerate(tt):
assert e.is_zero(), t
@ -189,7 +189,7 @@ def test_matmul_irregular_histories():
standard_array = []
for i in range(dim ** 2):
standard_array.append(pe.Obs([np.random.normal(1.1, 0.2, length)], ['ens1']))
standard_matrix = np.array(standard_array).reshape((dim, dim))
standard_matrix = np.array(standard_array).reshape((dim, dim)) * pe.pseudo_Obs(0.1, 0.002, 'qr')
for idl in [range(1, 501, 2), range(250, 273), [2, 8, 19, 20, 78]]:
irregular_array = []