Don't return tuple from `jax.scipy.linalg.qr` when `mode = 'r'` (only…

… one return)

Remove `sparse.sandbox` (#1664)

* Delete `sparse.sandbox`

* delete test_sp2.py

Fix FusionOptimizer bug

When a subgraph with multiple outputs is "implicitly" claimed, it can change the dependencies of remaining nodes. A node that depended only on a subset of the subgraph outputs now depends on all of them. Not taking this into account could lead to circular dependent Composites

Fix typos in normalizing_flows_in_pytensor notebook (#1611)

Optimize matmuls involving block diagonal matrices (#1493)

* Add `concat_with_broadcast` helper function

Use new helper in xt.concat

Co-authored-by: Ricardo <ricardo.vieira1994@gmail.com>

* block_diag dot rewrite

Co-authored-by: Ricardo <ricardo.vieira1994@gmail.com>

---------

Co-authored-by: Ricardo <ricardo.vieira1994@gmail.com>

Add xtensor docs

Co-authored-by: Oriol Abril-Pla <oriol.abril.pla@gmail.com>

Fix shape errors in `scalar_solve_to_division`

Skip failing sparse tests on scipy 1.16

Avoid miniKanren v1.0.4

Some users with outdated setuptools in their build environments are failing
to build miniKanren from source. A wheel will hopefully arrive shortly for v1.0.5,
solving the problem. For now we can work around it by avoiding v1.0.4.
Note that conda doesn't have this problem, because Conda packages are
pre-compiled.

Coerce dtype __props__ to string due to invalid hash of `np.dtype()` …

…objects

numpy/numpy#17864