We require at least metatensor-core v0.1.15 for assume_unique

README.rst

@@ -8,13 +8,8 @@ machine learning also called "descriptors" or "fingerprints". These representati
 can be used for atomistic machine learning (ml) models including ml potentials,
 visualization or similarity analysis.
 
-The core of the library is written in Rust and we provide
-APIs for C/C++ and Python as well.
-
-.. warning::
-
-    **Featomic is still as the proof of concept stage. You should not use it for
-    anything important.**
+The core of the library is written in Rust and we provide APIs for C/C++ and
+Python as well.
 
 List of implemented representations
 ###################################

python/featomic/build-backend/backend.py

@@ -11,5 +11,5 @@ def get_requires_for_build_wheel(config_settings=None):
     defaults = build_meta.get_requires_for_build_wheel(config_settings)
     return defaults + [
         "cmake",
-        "metatensor-core >=0.1.11,<0.2.0",
+        "metatensor-core >=0.1.15,<0.2.0",
     ]

python/featomic/pyproject.toml

@@ -25,7 +25,7 @@ classifiers = [
 ]
 
 dependencies = [
-    "metatensor-core >=0.1.0,<0.2.0",
+    "metatensor-core >=0.1.15,<0.2.0",
     "metatensor-operations >=0.3.0,<0.4.0",
     "wigners",
 ]