Remove NumPy <2 pin (#762)

This PR removes the NumPy<2 pin which is expected to work for
RAPIDS projects once CuPy 13.3.0 is released (CuPy 13.2.0 had
some issues preventing the use with NumPy 2).

Authors:
  - Sebastian Berg (https://github.com/seberg)
  - https://github.com/jakirkham

Approvers:
  - James Lamb (https://github.com/jameslamb)
  - Gregory Lee (https://github.com/grlee77)
  - https://github.com/jakirkham

URL: #762

conda/environments/all_cuda-118_arch-x86_64.yaml

@@ -27,7 +27,7 @@ dependencies:
 - matplotlib-base
 - nbsphinx
 - ninja
-- numpy>=1.23.4,<2.0a0
+- numpy>=1.23.4,<3.0a0
 - numpydoc>=1.5
 - nvcc_linux-64=11.8
 - openslide-python>=1.3.0

conda/environments/all_cuda-125_arch-x86_64.yaml

@@ -27,7 +27,7 @@ dependencies:
 - matplotlib-base
 - nbsphinx
 - ninja
-- numpy>=1.23.4,<2.0a0
+- numpy>=1.23.4,<3.0a0
 - numpydoc>=1.5
 - openslide-python>=1.3.0
 - pip

conda/recipes/cucim/meta.yaml

@@ -73,7 +73,7 @@ requirements:
     {% if cuda_major != "11" %}
     - cuda-cudart
     {% endif %}
-    - numpy >=1.23,<2.0a0
+    - numpy >=1.23,<3.0a0
     - click
     - cupy >=12.0.0
     - lazy_loader >=0.1

dependencies.yaml

@@ -255,7 +255,7 @@ dependencies:
         packages:
           - click
           - lazy_loader>=0.1
-          - numpy>=1.23.4,<2.0a0
+          - numpy>=1.23.4,<3.0a0
           - scikit-image>=0.19.0,<0.25.0a0
           - scipy>=1.6.0
       - output_types: conda

python/cucim/pyproject.toml

@@ -27,7 +27,7 @@ dependencies = [
     "click",
     "cupy-cuda11x>=12.0.0",
     "lazy_loader>=0.1",
-    "numpy>=1.23.4,<2.0a0",
+    "numpy>=1.23.4,<3.0a0",
     "scikit-image>=0.19.0,<0.25.0a0",
     "scipy>=1.6.0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.

python/cucim/src/cucim/skimage/color/colorconv.py

@@ -1121,10 +1121,13 @@ def gray2rgba(image, alpha=None, *, channel_axis=-1, check_alpha=True):
         _, alpha = dtype_limits(image, clip_negative=False)
 
     if np.isscalar(alpha):
+        # Convert to NumPy.  As of NumPy 2.1 (and cupy 13.3) `cp.full`
+        # will raise for out-of-bound Python integers otherwise.
+        alpha = np.asarray(alpha)
         if check_alpha:
             # do not use np.can_cast here for NumPy 2.0 compatibility
             with np.errstate(over="ignore", under="ignore"):
-                alpha_cast = np.asarray(alpha).astype(image.dtype)
+                alpha_cast = alpha.astype(image.dtype)
             if alpha_cast != alpha:
                 warn(
                     'alpha cannot be safely cast to image dtype '