Do not disable rascaline's logger (#147)

pyproject.toml

@@ -55,7 +55,7 @@ build-backend = "setuptools.build_meta"
 
 [project.optional-dependencies]
 soap-bpnn = [
-    "rascaline-torch @ git+https://github.com/luthaf/rascaline@ae05064#subdirectory=python/rascaline-torch",
+    "rascaline-torch @ git+https://github.com/luthaf/rascaline@211511f#subdirectory=python/rascaline-torch",
 ]
 alchemical-model = [
   "torch_alchemical @ git+https://github.com/abmazitov/torch_alchemical.git@357a01f",

src/metatensor/models/experimental/soap_bpnn/train.py

@@ -3,7 +3,6 @@
 from pathlib import Path
 from typing import Dict, List, Optional, Tuple, Union
 
-import rascaline
 import torch
 from metatensor.learn.data import DataLoader
 from metatensor.learn.data.dataset import _BaseDataset
@@ -30,9 +29,6 @@
 logger = logging.getLogger(__name__)
 
 
-# disable rascaline logger
-rascaline.set_logging_callback(lambda x, y: None)
-
 # Filter out the second derivative and device warnings from rascaline-torch
 warnings.filterwarnings("ignore", category=UserWarning, message="second derivative")
 warnings.filterwarnings(

src/metatensor/models/utils/io.py

@@ -4,15 +4,14 @@
 from pathlib import Path
 from typing import Any, Union
 
+import metatensor.torch
 import torch
 from metatensor.torch.atomistic import (
     MetatensorAtomisticModel,
     ModelCapabilities,
     ModelMetadata,
 )
 
-import metatensor
-
 
 # This import is necessary to avoid errors when loading an
 # exported alchemical model, which depends on sphericart-torch.