Release 2.1.6: accept pylibsparseir 0.11 and 0.12

.conda/meta.yaml

@@ -21,12 +21,12 @@ requirements:
     - scipy
     - setuptools
     - wheel
-    - spm-lab::pylibsparseir >=0.8.3,<0.11.0
+    - spm-lab::pylibsparseir >=0.8.3,<0.13.0
   run:
     - numpy
     - python
     - scipy
-    - spm-lab::pylibsparseir >=0.8.3,<0.11.0
+    - spm-lab::pylibsparseir >=0.8.3,<0.13.0
 
 #test:
 #  imports:

REPOSITORY_RULES.md

@@ -12,7 +12,7 @@ affected area.
 `sparse-ir` is a pure-Python wrapper around the `libsparseir` C library. It
 does not vendor or build the C library itself; the native binding layer is
 supplied by the separate `pylibsparseir` package (a `pyproject.toml`
-dependency, currently pinned as `pylibsparseir>=0.8.3,<0.11.0`).
+dependency, currently pinned as `pylibsparseir>=0.8.3,<0.13.0`).
 
 ## Package Layout
 

pyproject.toml

@@ -1,13 +1,13 @@
 [project]
 name = "sparse-ir"
-version = "2.1.5"
+version = "2.1.6"
 description = "Python bindings for the libsparseir library, providing efficient sparse intermediate representation for many-body physics calculations"
 readme = "README.rst"
 requires-python = ">=3.10"
 dependencies = [
     "numpy",
     "scipy",
-    "pylibsparseir>=0.8.3,<0.11.0",
+    "pylibsparseir>=0.8.3,<0.13.0",
 ]
 authors = [
     {name = "SpM-lab"}