FIX: NumPy 2.0 breaks everything

pyproject.toml

@@ -133,7 +133,7 @@ test_extra = [
 doc = [
     "sphinx>=6",
     "numpydoc",
-    "pydata_sphinx_theme==0.14.3",
+    "pydata_sphinx_theme==0.13.3",
     "sphinx-gallery",
     "sphinxcontrib-bibtex>=2.5",
     "memory_profiler",

tools/azure_dependencies.sh

@@ -8,15 +8,17 @@ elif [ "${TEST_MODE}" == "pip-pre" ]; then
 	STD_ARGS="$STD_ARGS --pre"
 	python -m pip install $STD_ARGS --only-binary ":all:" --extra-index-url "https://www.riverbankcomputing.com/pypi/simple" PyQt6 PyQt6-sip PyQt6-Qt6
 	echo "Numpy etc."
-	# As of 2023/10/25 no pandas (or statsmodels) because they pin to NumPy < 2
-	python -m pip install $STD_ARGS --only-binary ":all:" --extra-index-url "https://pypi.anaconda.org/scientific-python-nightly-wheels/simple" "numpy>=2.0.0.dev0" "scipy>=1.12.0.dev0" scikit-learn matplotlib
+	# See github_actions_dependencies.sh for comments
+	python -m pip install $STD_ARGS --only-binary "numpy" numpy
+	python -m pip install $STD_ARGS --only-binary ":all:" --extra-index-url "https://pypi.anaconda.org/scientific-python-nightly-wheels/simple" "scipy>=1.12.0.dev0" scikit-learn matplotlib pandas statsmodels
 	echo "dipy"
 	python -m pip install $STD_ARGS --only-binary ":all:" --extra-index-url "https://pypi.anaconda.org/scipy-wheels-nightly/simple" dipy
 	echo "h5py"
 	python -m pip install $STD_ARGS --only-binary ":all:" -f "https://7933911d6844c6c53a7d-47bd50c35cd79bd838daf386af554a83.ssl.cf2.rackcdn.com" h5py
 	echo "vtk"
 	python -m pip install $STD_ARGS --only-binary ":all:" --extra-index-url "https://wheels.vtk.org" vtk
-	echo "openmeeg"
+	echo "nilearn and openmeeg"
+	python -m pip install $STD_ARGS git+https://github.com/nilearn/nilearn
 	python -m pip install $STD_ARGS --only-binary ":all:" --extra-index-url "https://test.pypi.org/simple" openmeeg
 	echo "pyvista/pyvistaqt"
 	python -m pip install --progress-bar off git+https://github.com/pyvista/pyvista

tools/github_actions_dependencies.sh

@@ -24,8 +24,10 @@ else
 	echo "PyQt6"
 	pip install $STD_ARGS --only-binary ":all:" --default-timeout=60 --extra-index-url https://www.riverbankcomputing.com/pypi/simple PyQt6
 	echo "NumPy/SciPy/pandas etc."
-	# As of 2023/10/25 no pandas (or statsmodels, nilearn) because they pin to NumPy < 2
-	pip install $STD_ARGS --only-binary ":all:" --default-timeout=60 --extra-index-url "https://pypi.anaconda.org/scientific-python-nightly-wheels/simple" "numpy>=2.0.0.dev0" scipy scikit-learn matplotlib pillow
+	# As of 2023/11/20 no NumPy 2.0 because it requires everything using its ABI to
+	# compile against 2.0, and h5py isn't (and probably not VTK either)
+	pip install $STD_ARGS --only-binary "numpy" --default-timeout=60 numpy
+	pip install $STD_ARGS --only-binary ":all:" --default-timeout=60 --extra-index-url "https://pypi.anaconda.org/scientific-python-nightly-wheels/simple" scipy scikit-learn matplotlib pillow pandas statsmodels
 	echo "dipy"
 	pip install $STD_ARGS --only-binary ":all:" --default-timeout=60 --extra-index-url "https://pypi.anaconda.org/scipy-wheels-nightly/simple" dipy
 	echo "H5py"
@@ -34,7 +36,7 @@ else
 	pip install $STD_ARGS --only-binary ":all:" --extra-index-url "https://test.pypi.org/simple" openmeeg
 	# No Numba because it forces an old NumPy version
 	echo "nilearn and openmeeg"
-	# pip install $STD_ARGS git+https://github.com/nilearn/nilearn
+	pip install $STD_ARGS git+https://github.com/nilearn/nilearn
 	pip install $STD_ARGS openmeeg
 	echo "VTK"
 	pip install $STD_ARGS --only-binary ":all:" --extra-index-url "https://wheels.vtk.org" vtk