Bump minimum NumPy dependency to 1.26

conda/environments/all_cuda-129_arch-aarch64.yaml

@@ -59,7 +59,7 @@ dependencies:
 - notebook
 - numba-cuda>=0.22.2
 - numba>=0.60.0,<0.65.0
-- numpy>=1.23,<3.0
+- numpy>=1.26,<3.0
 - numpydoc
 - nvidia-ml-py>=12
 - nvtx>=0.2.1

conda/environments/all_cuda-129_arch-x86_64.yaml

@@ -59,7 +59,7 @@ dependencies:
 - notebook
 - numba-cuda>=0.22.2
 - numba>=0.60.0,<0.65.0
-- numpy>=1.23,<3.0
+- numpy>=1.26,<3.0
 - numpydoc
 - nvidia-ml-py>=12
 - nvtx>=0.2.1

conda/environments/all_cuda-131_arch-aarch64.yaml

@@ -59,7 +59,7 @@ dependencies:
 - notebook
 - numba-cuda>=0.22.2
 - numba>=0.60.0,<0.65.0
-- numpy>=1.23,<3.0
+- numpy>=1.26,<3.0
 - numpydoc
 - nvidia-ml-py>=12
 - nvtx>=0.2.1

conda/environments/all_cuda-131_arch-x86_64.yaml

@@ -59,7 +59,7 @@ dependencies:
 - notebook
 - numba-cuda>=0.22.2
 - numba>=0.60.0,<0.65.0
-- numpy>=1.23,<3.0
+- numpy>=1.26,<3.0
 - numpydoc
 - nvidia-ml-py>=12
 - nvtx>=0.2.1

conda/recipes/cudf/recipe.yaml

@@ -93,7 +93,7 @@ requirements:
     - cupy >=13.6.0,!=14.0.0
     - numba-cuda >=0.22.2
     - numba >=0.60.0,<0.65.0
-    - numpy >=1.23,<3.0
+    - numpy >=1.26,<3.0
     - pyarrow>=19.0.0
     - libcudf =${{ version }}
     - pylibcudf =${{ version }}

dependencies.yaml

@@ -547,7 +547,7 @@ dependencies:
     common:
       - output_types: [conda, requirements, pyproject]
         packages:
-          - numpy>=1.23,<3.0
+          - numpy>=1.26,<3.0
   pyarrow_run:
     common:
       - output_types: [conda]
@@ -862,7 +862,7 @@ dependencies:
             packages:
               # this is sometimes different from the floor in cudf because
               # dask imposes its own constraints on 'numpy' (e.g. for 'dask.array')
-              - numpy==1.24.*
+              - numpy==1.26.*
           - matrix:
             packages:
   test_python_pylibcudf:
@@ -919,7 +919,7 @@ dependencies:
         matrices:
           - matrix: {dependencies: "oldest"}
             packages:
-              - numpy==1.23.*
+              - numpy==1.26.*
               - pyarrow==19.*
           - matrix:
             packages:

python/cudf/cudf/core/column/temporal_base.py

@@ -166,7 +166,7 @@ def _normalize_binop_operand(self, other: Any) -> pa.Scalar | ColumnBase:
                         to_unit = self.time_unit
                     if np.isnat(other):
                         # Workaround for https://github.com/numpy/numpy/issues/28496
-                        # Once fixed, can always use the astype below
+                        # Can always use the astype below once minimum numpy version is 2.4
                         # call-overload must be ignored because numpy stubs only accept literal strings
                         # for time units (e.g., "ns", "us") to allow compile-time validation,
                         # but we're passing a variable string (to_unit) with a time unit that

python/cudf/pyproject.toml

@@ -26,7 +26,7 @@ dependencies = [
     "libcudf==26.4.*,>=0.0.0a0",
     "numba-cuda>=0.22.2",
     "numba>=0.60.0,<0.65.0",
-    "numpy>=1.23,<3.0",
+    "numpy>=1.26,<3.0",
     "nvtx>=0.2.1",
     "packaging",
     "pandas>=2.0,<2.4.0",

python/cudf_polars/pyproject.toml

@@ -40,7 +40,7 @@ classifiers = [
 [project.optional-dependencies]
 test = [
     "dask-cuda==26.4.*,>=0.0.0a0",
-    "numpy>=1.23,<3.0",
+    "numpy>=1.26,<3.0",
     "pytest",
     "pytest-cov",
     "pytest-httpserver",

python/dask_cudf/pyproject.toml

@@ -24,7 +24,7 @@ dependencies = [
     "cudf==26.4.*,>=0.0.0a0",
     "cupy-cuda13x>=13.6.0,!=14.0.0",
     "fsspec>=0.6.0",
-    "numpy>=1.23,<3.0",
+    "numpy>=1.26,<3.0",
     "nvidia-ml-py>=12",
     "pandas>=2.0,<2.4.0",
     "rapids-dask-dependency==26.4.*,>=0.0.0a0",

python/pylibcudf/pyproject.toml

@@ -56,7 +56,7 @@ pyarrow = [
     "pyarrow>=19.0.0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 numpy = [
-    "numpy>=1.23,<3.0",
+    "numpy>=1.26,<3.0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 
 [project.urls]