[MNT] Fixing numpy

docs/source/whats_new.rst

@@ -23,6 +23,7 @@ Bugs
 
 - Fix Stieger2021 dataset bugs (:gh:`651` by `Martin Wimpff`_)
 - Unpinning major version Scikit-learn and numpy (:gh:`652` by `Bruno Aristimunha`_)
+- Replacing the func:`numpy.string_` to func:`numpy.bytes_` (:gh:`665` by `Bruno Aristimunha`_)
 
 API changes
 ~~~~~~~~~~~

moabb/analysis/meta_analysis.py

@@ -322,8 +322,8 @@ def find_significant_differences(df, perm_cutoff=20):
     nsubs = np.array([df.loc[df.dataset == d, "nsub"].mean() for d in dsets])
     P_full = df.pivot_table(values="p", index=["dataset", "pipe1"], columns="pipe2")
     T_full = df.pivot_table(values="smd", index=["dataset", "pipe1"], columns="pipe2")
-    P = np.full((len(algs), len(algs)), np.NaN)
-    T = np.full((len(algs), len(algs)), np.NaN)
+    P = np.full((len(algs), len(algs)), np.nan)
+    T = np.full((len(algs), len(algs)), np.nan)
     for i in range(len(algs)):
         for j in range(len(algs)):
             if i != j:

moabb/analysis/results.py

@@ -112,7 +112,7 @@ def __init__(
 
         if not osp.isfile(self.filepath):
             with h5py.File(self.filepath, "w") as f:
-                f.attrs["create_time"] = np.string_(
+                f.attrs["create_time"] = np.bytes_(
                     "{:%Y-%m-%d, %H:%M}".format(datetime.now())
                 )
 

moabb/evaluations/evaluations.py

@@ -254,7 +254,7 @@ def _evaluate(
                     if _carbonfootprint:
                         emissions = tracker.stop()
                         if emissions is None:
-                            emissions = np.NaN
+                            emissions = np.nan
                     duration = time() - t_start
 
                     nchan = X.info["nchan"] if isinstance(X, BaseEpochs) else X.shape[1]

pyproject.toml

@@ -13,7 +13,7 @@ license = "BSD-3-Clause"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<3.13"
-numpy = ">=1.22"
+numpy = "^1.22"
 scipy = "^1.9.3"
 mne = "^1.7.0"
 pandas = ">=1.5.2"