Bump the runtime-dependencies group across 1 directory with 2 updates (…

…#1525)

* Bump the runtime-dependencies group across 1 directory with 3 updates

Bumps the runtime-dependencies group with 3 updates in the / directory: [numpy](https://github.com/numpy/numpy), [scipy](https://github.com/scipy/scipy) and [xarray](https://github.com/pydata/xarray).


Updates `numpy` from 2.0.1 to 2.1.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.0.1...v2.1.0)

Updates `scipy` from 1.14.0 to 1.14.1
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.14.0...v1.14.1)

Updates `xarray` from 2024.6.0 to 2024.7.0
- [Release notes](https://github.com/pydata/xarray/releases)
- [Changelog](https://github.com/pydata/xarray/blob/main/HOW_TO_RELEASE.md)
- [Commits](pydata/xarray@v2024.06.0...v2024.07.0)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime-dependencies
- dependency-name: scipy
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: runtime-dependencies
- dependency-name: xarray
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: runtime-dependencies
...

Signed-off-by: dependabot[bot] <support@github.com>

* 🚧 Revert raising of numpy version since we know it isn't compatible

* 🩹 Forward port fix error with xarray==2024.7.0 from main

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: s-weigand <s.weigand.phy@gmail.com>

glotaran/optimization/data.py

@@ -468,7 +468,10 @@ def align_groups(
         # as an alternative to the more elegant xarray built-in which is limited to 32 datasets
         # aligned_group_labels = aligned_groups.str.join(dim="dataset").data
         aligned_group_labels = np.asarray(
-            ["".join(sub_arr.values) for _, sub_arr in aligned_groups.groupby("global")]
+            tuple(
+                "".join(sub_arr.to_numpy().flatten())
+                for _, sub_arr in aligned_groups.groupby("global", squeeze=False)
+            )
         )
 
         group_definitions: dict[str, list[str]] = {}

requirements_pinned.txt

@@ -8,7 +8,7 @@ openpyxl==3.1.5
 pandas==2.2.2
 pydantic==2.8.2
 ruamel.yaml==0.18.6
-scipy==1.14.0
+scipy==1.14.1
 sdtfile==2024.5.24
 tabulate==0.9.0
-xarray==2024.6.0
+xarray==2024.7.0