Accept pylibsparseir 0.14, skip 0.13; release 2.1.7

.conda/meta.yaml

@@ -21,12 +21,12 @@ requirements:
     - scipy
     - setuptools
     - wheel
-    - spm-lab::pylibsparseir >=0.8.3,<0.13.0
+    - spm-lab::pylibsparseir >=0.8.3,!=0.13.*,<0.15.0
   run:
     - numpy
     - python
     - scipy
-    - spm-lab::pylibsparseir >=0.8.3,<0.13.0
+    - spm-lab::pylibsparseir >=0.8.3,!=0.13.*,<0.15.0
 
 #test:
 #  imports:

README.rst

@@ -25,6 +25,16 @@ sparse-ir requires `numpy <https://numpy.org/>`_, `scipy <https://scipy.org/>`_,
 and `pylibsparseir <https://pypi.org/project/pylibsparseir>`_ (a thin Python wrapper
 for the libsparseir C API from `sparse-ir-rs <https://github.com/SpM-lab/sparse-ir-rs>`_).
 
+The prebuilt ``pylibsparseir`` (0.14 on) uses the fused multiply-add (FMA)
+instruction, which every aarch64 CPU and every x86-64 CPU since 2013 has. On a
+CPU without it, ``import sparse_ir`` raises a ``RuntimeError`` naming the
+requirement instead of crashing. There, build ``pylibsparseir`` from its
+repository with FMA turned off (a Rust toolchain is needed)::
+
+    RUSTFLAGS="-C target-feature=-fma" pip install "pylibsparseir @ git+https://github.com/SpM-lab/sparse-ir-rs@v0.14.0#subdirectory=python"
+
+(0.13 also needs FMA but lacks the check, so this package does not accept it.)
+
 To manually install the current development version, you can use the following::
 
    # Only recommended for developers - no automatic updates!

pyproject.toml

@@ -1,13 +1,13 @@
 [project]
 name = "sparse-ir"
-version = "2.1.6"
+version = "2.1.7"
 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,<0.13.0",
+    "pylibsparseir>=0.8.3,!=0.13.*,<0.15.0",
 ]
 authors = [
     {name = "SpM-lab"}