pin oldest numpy in dask-cudf tests, update dependency floors (cuda-python 12.9.2, cupy 13.6.0, numba 0.60.0)

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

@@ -20,10 +20,10 @@ dependencies:
 - cuda-nvcc
 - cuda-nvrtc-dev
 - cuda-nvtx-dev
-- cuda-python>=12.9.1,<13.0a0
+- cuda-python>=12.9.2,<13.0a0
 - cuda-sanitizer-api
 - cuda-version=12.9
-- cupy>=12.0.0
+- cupy>=13.6.0
 - cxx-compiler
 - cython>=3.0.3
 - dask-cuda==25.10.*,>=0.0.0a0
@@ -56,7 +56,7 @@ dependencies:
 - ninja
 - notebook
 - numba-cuda>=0.19.1,<0.20.0a0
-- numba>=0.61.0,<0.62.0a0
+- numba>=0.60.0,<0.62.0a0
 - numpy>=1.23,<3.0a0
 - numpydoc
 - nvidia-ml-py

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

@@ -20,10 +20,10 @@ dependencies:
 - cuda-nvcc
 - cuda-nvrtc-dev
 - cuda-nvtx-dev
-- cuda-python>=12.9.1,<13.0a0
+- cuda-python>=12.9.2,<13.0a0
 - cuda-sanitizer-api
 - cuda-version=12.9
-- cupy>=12.0.0
+- cupy>=13.6.0
 - cxx-compiler
 - cython>=3.0.3
 - dask-cuda==25.10.*,>=0.0.0a0
@@ -57,7 +57,7 @@ dependencies:
 - ninja
 - notebook
 - numba-cuda>=0.19.1,<0.20.0a0
-- numba>=0.61.0,<0.62.0a0
+- numba>=0.60.0,<0.62.0a0
 - numpy>=1.23,<3.0a0
 - numpydoc
 - nvidia-ml-py

conda/recipes/cudf/recipe.yaml

@@ -69,18 +69,17 @@ requirements:
     - python
     - typing_extensions >=4.0.0
     - pandas >=2.0,<2.4.0dev0
-    - cupy >=12.0.0
+    - cupy >=13.6.0
     - numba-cuda >=0.19.1,<0.20.0a0
-    # TODO: Revert to numba>=0.60.0,<0.62.0a0 once https://github.com/NVIDIA/numba-cuda/pull/403 is released.
-    - numba >=0.61.0,<0.62.0a0
+    - numba >=0.60.0,<0.62.0a0
     - numpy >=1.23,<3.0a0
     - pyarrow>=14.0.0,<20.0.0a0
     - libcudf =${{ version }}
     - pylibcudf =${{ version }}
     - ${{ pin_compatible("rmm", upper_bound="x.x") }}
     - fsspec >=0.6.0
     - cuda-cudart
-    - cuda-python >=12.9.1,<13.0a0
+    - cuda-python >=12.9.2,<13.0a0
     - if: linux and x86_64
       then:
         - libcufile

conda/recipes/pylibcudf/recipe.yaml

@@ -70,7 +70,7 @@ requirements:
     - libcudf =${{ version }}
     - ${{ pin_compatible("rmm", upper_bound="x.x") }}
     - fsspec >=0.6.0
-    - cuda-python >=12.9.1,<13.0a0
+    - cuda-python >=12.9.2,<13.0a0
     - nvtx >=0.2.1
     - packaging
   run_constraints:

dependencies.yaml

@@ -364,6 +364,7 @@ files:
       - depends_on_dask_cuda
       - test_python_common
       - test_python_cudf_common
+      - test_python_dask_cudf
   py_build_cudf_kafka:
     output: pyproject
     pyproject_dir: python/cudf_kafka
@@ -657,17 +658,19 @@ dependencies:
     specific:
       - output_types: [conda, requirements, pyproject]
         matrices:
-          - matrix: {cuda: "12.*"}
-            packages: &run_pylibcudf_packages_all_cu12
-              - cuda-python>=12.9.1,<13.0a0
-          - {matrix: null, packages: *run_pylibcudf_packages_all_cu12}
+          - matrix: &run_pylibcudf_packages_all_cu12
+              cuda: "12.*"
+            packages:
+              - &cuda_python_cu12 cuda-python>=12.9.2,<13.0a0
+          - matrix:
+            packages:
+              - *cuda_python_cu12
   run_cudf:
     common:
       - output_types: [conda, requirements, pyproject]
         packages:
           - cachetools
-          # TODO: Revert to numba>=0.60.0,<0.62.0a0 once https://github.com/NVIDIA/numba-cuda/pull/403 is released.
-          - &numba numba>=0.61.0,<0.62.0a0
+          - &numba numba>=0.60.0,<0.62.0a0
           - nvtx>=0.2.1
           - packaging
           - rich
@@ -682,7 +685,7 @@ dependencies:
         matrices:
           - matrix: {cuda: "12.*"}
             packages: &run_cudf_packages_all_cu12
-              - cuda-python>=12.9.1,<13.0a0
+              - cuda-python>=12.9.2,<13.0a0
           - {matrix: null, packages: *run_cudf_packages_all_cu12}
       - output_types: [requirements, pyproject]
         matrices:
@@ -767,8 +770,7 @@ dependencies:
         matrices:
           - matrix: {dependencies: "oldest"}
             packages:
-              # TODO: Revert to numba==0.60.0 once https://github.com/NVIDIA/numba-cuda/pull/403 is released.
-              - numba==0.61.0
+              - numba==0.60.0
               - pandas==2.0.*
               - numba-cuda==0.19.1
           - matrix: {dependencies: "latest"}
@@ -778,20 +780,30 @@ dependencies:
             packages:
       - output_types: conda
         matrices:
-          - matrix: {dependencies: "oldest", arch: "aarch64", cuda: "12.*"}
-            packages:
-              - cupy==12.2.0 # cupy 12.2.0 is the earliest with CUDA 12 ARM packages.
           - matrix: {dependencies: "oldest"}
             packages:
-              - cupy==12.0.0
+              - cupy==13.6.0
           - matrix:
             packages:
       - output_types: requirements
         # Using --constraints for pip install, so we list cupy multiple times
         matrices:
-          - matrix: {dependencies: "oldest"}
+          - matrix:
+              dependencies: "oldest"
+            packages:
+              - cupy-cuda12x==13.6.0
+          - matrix:
             packages:
-              - cupy-cuda12x==12.0.0
+  test_python_dask_cudf:
+    specific:
+      - output_types: [conda, requirements, pyproject]
+        matrices:
+          - matrix:
+              dependencies: "oldest"
+            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.*
           - matrix:
             packages:
   test_python_pylibcudf:
@@ -838,10 +850,7 @@ dependencies:
         matrices:
           - matrix: {dependencies: "oldest"}
             packages:
-              # TODO: Revert to numpy==1.23.* once
-              # https://github.com/NVIDIA/numba-cuda/pull/403 is released and
-              # we revert to an oldest pinning of numba==0.60.0.
-              - numpy==1.24.*
+              - numpy==1.23.*
               # pyarrow 14 is fine in some circumstances but we require pyarrow
               # 15 in our CI tests in order to get a lz4-c that is compatible
               # with cudf_kafka's dependencies.
@@ -983,13 +992,14 @@ dependencies:
     common:
       - output_types: conda
         packages:
-          - cupy>=12.0.0
+          - cupy>=13.6.0
     specific:
       - output_types: [requirements, pyproject]
         matrices:
-          - matrix: {cuda: "12.*"}
+          - matrix:
+              cuda: "12.*"
             packages: &cupy_packages_cu12
-              - cupy-cuda12x>=12.0.0
+              - cupy-cuda12x>=13.6.0
           - {matrix: null, packages: *cupy_packages_cu12}
   depends_on_libkvikio:
     common:

python/cudf/pyproject.toml

@@ -19,12 +19,12 @@ license = { text = "Apache-2.0" }
 requires-python = ">=3.10"
 dependencies = [
     "cachetools",
-    "cuda-python>=12.9.1,<13.0a0",
-    "cupy-cuda12x>=12.0.0",
+    "cuda-python>=12.9.2,<13.0a0",
+    "cupy-cuda12x>=13.6.0",
     "fsspec>=0.6.0",
     "libcudf==25.10.*,>=0.0.0a0",
     "numba-cuda[cu12]>=0.19.1,<0.20.0a0",
-    "numba>=0.61.0,<0.62.0a0",
+    "numba>=0.60.0,<0.62.0a0",
     "numpy>=1.23,<3.0a0",
     "nvtx>=0.2.1",
     "packaging",

python/dask_cudf/pyproject.toml

@@ -20,7 +20,7 @@ license = { text = "Apache-2.0" }
 requires-python = ">=3.10"
 dependencies = [
     "cudf==25.10.*,>=0.0.0a0",
-    "cupy-cuda12x>=12.0.0",
+    "cupy-cuda12x>=13.6.0",
     "fsspec>=0.6.0",
     "numpy>=1.23,<3.0a0",
     "pandas>=2.0,<2.4.0dev0",

python/pylibcudf/pyproject.toml

@@ -18,7 +18,7 @@ authors = [
 license = { text = "Apache-2.0" }
 requires-python = ">=3.10"
 dependencies = [
-    "cuda-python>=12.9.1,<13.0a0",
+    "cuda-python>=12.9.2,<13.0a0",
     "libcudf==25.10.*,>=0.0.0a0",
     "nvtx>=0.2.1",
     "packaging",
@@ -39,13 +39,13 @@ classifiers = [
 
 [project.optional-dependencies]
 test = [
-    "cupy-cuda12x>=12.0.0",
+    "cupy-cuda12x>=13.6.0",
     "fastavro>=0.22.9",
     "hypothesis>=6.131.7",
     "mmh3",
     "nanoarrow",
     "numba-cuda[cu12]>=0.19.1,<0.20.0a0",
-    "numba>=0.61.0,<0.62.0a0",
+    "numba>=0.60.0,<0.62.0a0",
     "pandas",
     "pyarrow>=14.0.0,<20.0.0a0,!=17.0.0; platform_machine=='aarch64'",
     "pyarrow>=14.0.0,<20.0.0a0; platform_machine=='x86_64'",