Getting ready for release 3.2.1

Author: FrancescAlted

ANNOUNCE.rst

@@ -1,16 +1,16 @@
-Announcing Python-Blosc2 3.2.0
+Announcing Python-Blosc2 3.2.1
 ==============================
 
-This is a minor release where we fixed some bugs related with the
-maximum type size supported by Blosc2; now, the maximum size is
-512 MB (compared to 255 bytes in previous versions).  We are also
-introducing WASM32 wheels for the first time.
+Here, all array containers in Blosc2 implement the ``__array_interface__``
+protocol to expose the data in the array.  This allows for better
+interoperability with other libraries like NumPy, CuPy, etc.  Now, the range
+of functions spans to most of NumPy functions, including reductions.
 
-We also added new ``blosc2.matmul()`` function for computing matrix
-multiplication on NDArray instances.  We blogged about this at:
-https://www.blosc.org/posts/optimizing-chunks-blosc2/
-Thanks to Ricardo Sales Piquer, our new intern, for his contribution
-to this feature.
+See examples at: https://github.com/Blosc/python-blosc2/blob/main/examples/ndarray/jit-numpy-funcs.py
+See benchmarks at: https://github.com/Blosc/python-blosc2/blob/main/bench/ndarray/jit-numpy-funcs.py
+
+We have also improved the performance of constructors like ``blosc2.linspace()``
+or ``blosc2.arange()`` by a factor of up to 3x for large arrays.
 
 You can think of Python-Blosc2 3.x as an extension of NumPy/numexpr that:
 
@@ -20,7 +20,6 @@ You can think of Python-Blosc2 3.x as an extension of NumPy/numexpr that:
 - Supports NumPy ufunc mechanism: mix and match NumPy and Blosc2 computations.
 - Integrates with Numba and Cython via UDFs (User Defined Functions).
 - Adheres to modern NumPy casting rules way better than numexpr.
-- Computes expressions only when needed. They can also be stored for later use.
 - Supports linear algebra operations (like ``blosc2.matmul()``).
 
 Install it with::

RELEASE_NOTES.md

@@ -2,7 +2,20 @@
 
 ## Changes from 3.2.0 to 3.2.1
 
-XXX version-specific blurb XXX
+* The array containers are now using the `__array_interface__` protocol to
+  expose the data in the array.  This allows for better interoperability with
+  other libraries that support the `__array_interface__` protocol, like NumPy,
+  CuPy, etc.  Now, the range of functions that can be used within the `blosc2.jit`
+  decorator is way larger, and essentially all NumPy functions should work now.
+
+  See examples at: https://github.com/Blosc/python-blosc2/blob/main/examples/ndarray/jit-numpy-funcs.py
+  See benchmarks at: https://github.com/Blosc/python-blosc2/blob/main/bench/ndarray/jit-numpy-funcs.py
+
+* The performance of constructors like `arange()`, `linspace()` and `fromiter()`
+  has been improved.  Now, they can be up to 3x faster, specially with large
+  arrays.
+
+* C-Blosc2 updated to 2.17.1.  This fixes various UB as well as compiler warnings.
 
 ## Changes from 3.1.1 to 3.2.0
 

pyproject.toml

@@ -40,7 +40,7 @@ dependencies = [
     "py-cpuinfo; platform_machine != 'wasm32'",
     "requests",
 ]
-version = "3.2.1.dev0"
+version = "3.2.1"
 
 
 [project.optional-dependencies]

src/blosc2/version.py

@@ -1 +1 @@
-__version__ = "3.2.1.dev0"
+__version__ = "3.2.1"