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Numpy 2.0 compatibility #1420

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merged 3 commits into from
Jun 26, 2024
Merged

Numpy 2.0 compatibility #1420

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48c28bb
Numpy 2.0 compatibility
PaulJonasJost Jun 24, 2024
2c17c67
Changed to <2.0 for now. (e.g. NLOpt not there yet)
PaulJonasJost Jun 25, 2024
6ebaa77
Merge branch 'develop' into numpy_2.0
PaulJonasJost Jun 25, 2024
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12 changes: 6 additions & 6 deletions pypesto/history/csv.py
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Original file line number Diff line number Diff line change
Expand Up @@ -65,7 +65,7 @@ def __init__(
trace = pd.read_csv(self.file, header=[0, 1], index_col=0)
# replace 'nan' in cols with np.NAN
cols = pd.DataFrame(trace.columns.to_list())
cols[cols == "nan"] = np.NaN
cols[cols == "nan"] = np.nan
trace.columns = pd.MultiIndex.from_tuples(
cols.to_records(index=False).tolist()
)
Expand All @@ -78,11 +78,11 @@ def __init__(
self._update_counts_from_trace()

def _update_counts_from_trace(self) -> None:
self._n_fval = self._trace[(N_FVAL, np.NaN)].max()
self._n_grad = self._trace[(N_GRAD, np.NaN)].max()
self._n_hess = self._trace[(N_HESS, np.NaN)].max()
self._n_res = self._trace[(N_RES, np.NaN)].max()
self._n_sres = self._trace[(N_SRES, np.NaN)].max()
self._n_fval = self._trace[(N_FVAL, np.nan)].max()
self._n_grad = self._trace[(N_GRAD, np.nan)].max()
self._n_hess = self._trace[(N_HESS, np.nan)].max()
self._n_res = self._trace[(N_RES, np.nan)].max()
self._n_sres = self._trace[(N_SRES, np.nan)].max()

def update(
self,
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2 changes: 1 addition & 1 deletion pypesto/visualize/optimizer_convergence.py
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Expand Up @@ -60,7 +60,7 @@ def optimizer_convergence(
2,
)
if grad is not None
else np.NaN
else np.nan
)
for grad in result.optimize_result.grad
]
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2 changes: 1 addition & 1 deletion setup.cfg
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Expand Up @@ -47,7 +47,7 @@ keywords =

[options]
install_requires =
numpy >= 1.19.1, != 1.24.0
numpy >= 1.19.1, != 1.24.0, < 2.0
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I think either requiring <2.0 or >=2.0 will be a pain to users, so I'd avoid that here.

The current issue with nlopt can be solved by installing numpy<2.0 specifically in the respective tox env. (Consider opening an nlopt issue regarding numpy2.0 support if there isn't any yet.)

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Agreed. Changed it accordingly for now.

scipy >= 1.5.2
pandas >= 1.5.0
cloudpickle >= 1.5.0
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