baybe/pytest.ini at main · emdgroup/baybe · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
[pytest]
strict = true

markers =
    filterwarnings: Apply warning filters to a test

addopts =
    --doctest-modules
    --ignore=examples
    --ignore=docs

    ; Avoids import errors due to optional dependencies
    --doctest-ignore-import-errors

testpaths =
    baybe
    tests

filterwarnings =
    ; Treat warnings as errors
    error

    ; Temporary ignores
    ; -----------------
    ; Torch JIT deprecation warning triggered during linear_operator import
    ignore:.*torch.jit.script.*:DeprecationWarning
    ; Invalid escape sequence in pyro.ops.stats docstring
    ; Fixed upstream but unreleased: https://github.com/pyro-ppl/pyro/issues/3450
    ignore:.*invalid escape sequence.*:SyntaxWarning
    ignore:.*invalid escape sequence.*:DeprecationWarning
    ; https://github.com/meta-pytorch/botorch/pull/3279
    ignore:chol argument to CholLinearOperator should be a TriangularLinearOperator.*:DeprecationWarning:linear_operator.operators.chol_linear_operator
    ; https://github.com/shap/shap/issues/4280 (fixed in shap>=0.51.0, but only available for Python 3.11+)
    ignore:Conversion of an array with ndim > 0 to a scalar is deprecated:DeprecationWarning:shap.explainers.other._maple
    ; https://github.com/cornellius-gp/linear_operator/issues/131
    ignore:Sparse invariant checks are implicitly disabled.*:UserWarning:linear_operator

    ; Numerics/optimization
    ; ---------------------
    ignore:.*add(ed|ing) jitter.*:linear_operator.utils.warnings.NumericalWarning
    ignore:.*Negative variance values detected.*:linear_operator.utils.warnings.NumericalWarning
    ignore:Optimization failed.*:RuntimeWarning:botorch.optim.optimize
    ; Note: File format instead of module format needed due to BoTorch reraising using `warn_explicit` without `module` argument
    ignore:`scipy_minimize` terminated with status .*:botorch.exceptions.warnings.OptimizationWarning:.*botorch/fit
    ; BoTorch warning recommending to switch to log-versions of acquisition functions
    ignore:.*has known numerical issues that lead to suboptimal optimization performance.*:botorch.exceptions.warnings.NumericsWarning:botorch.acquisition
    ; BoTorch warning when all raw sample acquisition values are identical; fires
    ; non-deterministically in heavily constrained spaces regardless of data volume
    ignore:All acquisition values for raw samples points are the same.*:botorch.exceptions.warnings.BadInitialCandidatesWarning