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Adjusted function definitions, added test for _merge_idx

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Simon Kuberski 2022-02-23 17:51:12 +01:00
parent 3288dfd148
commit 86b1371363
2 changed files with 18 additions and 4 deletions
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8
pyerrors/obs.py
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@ -934,7 +934,7 @@ def _expand_deltas(deltas, idx, shape):
deltas : list
List of fluctuations
idx : list
List or range of configs on which the deltas are defined.
List or range of configs on which the deltas are defined, has to be sorted in ascending order.
shape : int
Number of configs in idx.
"""
@ -948,7 +948,7 @@ def _expand_deltas(deltas, idx, shape):
def _merge_idx(idl):
"""Returns the union of all lists in idl
"""Returns the union of all lists in idl as sorted list
Parameters
----------
@ -985,11 +985,11 @@ def _expand_deltas_for_merge(deltas, idx, shape, new_idx):
List of fluctuations
idx : list
List or range of configs on which the deltas are defined.
Has to be a subset of new_idx.
Has to be a subset of new_idx and has to be sorted in ascending order.
shape : list
Number of configs in idx.
new_idx : list
List of configs that defines the new range.
List of configs that defines the new range, has to be sorted in ascending order.
"""
if type(idx) is range and type(new_idx) is range:

14
tests/obs_test.py
View file

@ -613,6 +613,12 @@ def test_gamma_method_irregular():
assert((ae.e_tauint['a'] - 4 * ae.e_dtauint['a'] < ao.e_tauint['a']))
assert((ae.e_tauint['a'] + 4 * ae.e_dtauint['a'] > ao.e_tauint['a']))
a = pe.pseudo_Obs(1, .1, 'a', samples=10)
a.idl['a'] = range(4, 15)
b = pe.pseudo_Obs(1, .1, 'a', samples=151)
b.idl['a'] = range(4, 608, 4)
ol = [a, b]
o = (ol[0] - ol[1]) / (ol[1])
def test_covariance_symmetry():
value1 = np.random.normal(5, 10)
@ -691,3 +697,11 @@ def test_reduce_deltas():
new = pe.obs._reduce_deltas(deltas, idx_old, idx_new)
print(new)
assert(np.alltrue([float(i) for i in idx_new] == new))
def test_merge_idx():
idl = [list(np.arange(1, 14)) + list(range(16, 100, 4)), range(4, 604, 4), [2, 4, 5, 6, 8, 9, 12, 24], range(1, 20, 1), range(50, 789, 7)]
new_idx = pe.obs._merge_idx(idl)
assert(new_idx[-1] > new_idx[0])
for i in range(1, len(new_idx)):
assert(new_idx[i - 1] < new_idx[i])