zStupan
commented
3 years ago "elementwise comparison failed; this will raise an error in the future." is usually because of a type mismatch. For instance:
import numpy as np
arr = np.arange(5) # 0, 1, 2, 3, 4 dtype = np.int64
"1" in arr # returns False because types don't match and puts out a deprecation warning
arr2 = np.array(['0', '1', '2', '3', '4'])
np.array_equal(arr, arr2) # returns False and puts out deprecation warningI don't see what would cause this in the ES algorithm though. It only seems to get reported in the tests as well. If you run the ES example it won't report any warnings.
" VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray"
This one is because of a bug in CrossRandCurr2Pbest: https://github.com/NiaOrg/NiaPy/blob/dc1cd459b92d2da8077b131d26c3975240c176a8/NiaPy/algorithms/modified/jade.py#L53
Here the x list elements are a mix of scalars and ndarrays, so a matrix cannot be constructed from it, so asarray casts all elements to object type. This is also what causes the other warning about failed comparissons in that test.
This test can be skipped since the function isn't used anywhere.
sisco0
firefly-cpp
GregaVrbancic
Hi everyone!
During the build of NiaPy rpm package, pytest reported several deprecation warnings.
I am attaching a partial report created by pytest.
=============================== warnings summary =============================== NiaPy/tests/test_aso.py::ASOElitismTestCase::test_custom_works_fine NiaPy/tests/test_aso.py::ASOElitismTestCase::test_griewank_works_fine NiaPy/tests/test_fa.py::FATestCase::test_griewank_works_fine NiaPy/tests/test_fa.py::FATestCase::test_works_fine NiaPy/tests/test_jade.py::CrossRandCurr2pbestTestCase::test_function_fine /usr/lib/python3.9/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray return array(a, dtype, copy=False, order=order) NiaPy/tests/test_es.py: 16660 warnings /builddir/build/BUILD/NiaPy-2.0.0rc13/NiaPy/algorithms/basic/es.py:329: DeprecationWarning: elementwise comparison failed; this will raise an error in the future. if e not in c: k += 1 NiaPy/tests/test_jade.py: 200 warnings /usr/lib/python3.9/site-packages/numpy/core/numeric.py:2378: DeprecationWarning: elementwise comparison failed; this will raise an error in the future. return bool(asarray(a1 == a2).all()) -- Docs: https://docs.pytest.org/en/stable/warnings.html