build: bump numpy from 1.26.4 to 2.0.0 (#3177)

* build: bump numpy from 1.26.4 to 2.0.0 in the minimal group

Bumps the minimal group with 1 update: [numpy](https://github.com/numpy/numpy).


Updates `numpy` from 1.26.4 to 2.0.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.26.4...v2.0.0)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: minimal
...

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

* Adding changelog entry: 3177.miscellaneous.md

* chore: adding changelog file 3177.dependencies.md

* chore: adding changelog file 3177.dependencies.md

* fix: numpy 2.0.0 raising issue.

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: pyansys-ci-bot <pyansys.github.bot@ansys.com>
Co-authored-by: German <28149841+germa89@users.noreply.github.com>
Co-authored-by: pyansys-ci-bot <92810346+pyansys-ci-bot@users.noreply.github.com>

doc/changelog.d/3177.dependencies.md

@@ -0,0 +1 @@
+build: bump numpy from 1.26.4 to 2.0.0

minimum_requirements.txt

@@ -1,6 +1,6 @@
 ansys-api-mapdl==0.5.2
 importlib-metadata==8.5.0
-numpy==1.26.4
+numpy==2.0.0
 platformdirs==4.3.2
 psutil==6.0.0
 pyansys-tools-versioning==0.6.0

pyproject.toml

@@ -24,7 +24,7 @@ dependencies = [
     "importlib-metadata>=4.0",
     "matplotlib>=3.0.0",  # for colormaps for pyvista
     "numpy>=1.14.0,<1.25.0; python_version < '3.9'",
-    "numpy>=1.14.0,<2.0.0; python_version >= '3.9'",
+    "numpy>=1.14.0,<3.0.0; python_version >= '3.9'",
     "pexpect>=4.8.0 ; platform_system=='Linux'",
     "platformdirs>=3.6.0",
     "protobuf>=3.12.2",  # minimum required based on latest ansys-grpc-mapdl

src/ansys/mapdl/core/mesh/mesh.py

@@ -240,7 +240,7 @@ def fix_missing_midside(cells, nodes, celltypes, offset, angles, nnum):
     unique_nodes, idx_a, idx_b = unique_rows(temp_nodes[nnodes:])
 
     # rewrite node numbers
-    cells[mask] = idx_b + nnodes
+    cells[mask] = (idx_b + nnodes).ravel()
     nextra = idx_a.shape[0]  # extra unique nodes
     nodes_new = nodes_new[: nnodes + nextra]
     nodes_new[nnodes:] = unique_nodes