Drop Python 3.9 support

dependencies.yaml

@@ -449,10 +449,6 @@ dependencies:
     specific:
       - output_types: [conda]
         matrices:
-          - matrix:
-              py: "3.9"
-            packages:
-              - python=3.9
           - matrix:
               py: "3.10"
             packages:
@@ -463,7 +459,7 @@ dependencies:
               - python=3.11
           - matrix:
             packages:
-              - python>=3.9,<3.12
+              - python>=3.10,<3.12
   python_build_rapids:
     common:
       - output_types: [conda, pyproject, requirements]

docs/cugraph/source/installation/getting_cugraph.md

@@ -45,7 +45,7 @@ conda install -c rapidsai -c conda-forge -c nvidia cugraph cuda-version=12.0
 
 Alternatively, use `cuda-version=11.8` for packages supporting CUDA 11.
 
-Note: This conda installation only applies to Linux and Python versions 3.9/3.10/3.11.
+Note: This conda installation only applies to Linux and Python versions 3.10/3.11.
 
 <br>
 

docs/cugraph/source/tutorials/basic_cugraph.md

@@ -5,7 +5,7 @@
 CuGraph is part of [Rapids](https://docs.rapids.ai/user-guide) and has the following system requirements:
  * NVIDIA GPU, Volta architecture or later, with [compute capability](https://developer.nvidia.com/cuda-gpus) 7.0+
  * CUDA 11.2, 11.4, 11.5, 11.8, 12.0 or 12.2
- * Python version 3.9, 3.10, or 3.11
+ * Python version 3.10 or 3.11
  * NetworkX >= version 3.3 or newer in order to use use [NetworkX Configs](https://networkx.org/documentation/stable/reference/backends.html#module-networkx.utils.configs) **This is required for use of nx-cuGraph, [see below](#cugraph-using-networkx-code).**
 
 ## Installation

notebooks/README.md

@@ -67,13 +67,13 @@ The easiest way to run the notebooks is to get the latest [rapidsai/notebooks](h
 
 For example, get the latest (as of writing the document) nightly image (`a` after the version number indicates that an image is nightly) with cuda 12.0 using
 ```sh
-docker pull rapidsai/notebooks:24.10a-cuda12.0-py3.9
+docker pull rapidsai/notebooks:24.10a-cuda12.0-py3.10
 ```
 
 And, then run a container based on the image using
 
 ```sh
-docker run --rm  -it --pull always --gpus all --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864   -p 8888:8888 rapidsai/notebooks:24.10a-cuda12.0-py3.9
+docker run --rm  -it --pull always --gpus all --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864   -p 8888:8888 rapidsai/notebooks:24.10a-cuda12.0-py3.10
 ```
 You are all set. Run and edit cugraph notebooks from a browser at url
 http://127.0.0.1:8888/lab/tree/cugraph/cugraph_benchmarks
@@ -89,8 +89,8 @@ ssh -L  127.0.0.1:8888:127.0.0.1:8888 [USER_NAME@][REMOTE_HOST_NAME or REMOTE_HO
 and then run the container in your remote machine.
 
 ```sh
-docker pull rapidsai/notebooks:24.10a-cuda12.0-py3.9
-docker run --rm  -it --pull always --gpus all --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 -p 8888:8888 rapidsai/notebooks:24.10a-cuda12.0-py3.9
+docker pull rapidsai/notebooks:24.10a-cuda12.0-py3.10
+docker run --rm  -it --pull always --gpus all --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 -p 8888:8888 rapidsai/notebooks:24.10a-cuda12.0-py3.10
 ```
 
 You can run and edit cugraph notebooks at url http://127.0.0.1:8888/lab/tree/cugraph/cugraph_benchmarks as if they are running locally.

notebooks/demo/nx_cugraph_demo.ipynb

@@ -20,7 +20,7 @@
     "Using `nx-cugraph` with this notebook requires the following: \n",
     "- NVIDIA GPU, Pascal architecture or later\n",
     "- CUDA 11.2, 11.4, 11.5, 11.8, or 12.0\n",
-    "- Python versions 3.9, 3.10, or 3.11\n",
+    "- Python versions 3.10 or 3.11\n",
     "- NetworkX >= version 3.2\n",
     "  - _NetworkX 3.0 supports dispatching and is compatible with `nx-cugraph`, but this notebook will demonstrate features added in 3.2_\n",
     "  - At the time of this writing, NetworkX 3.2 is only available from source and can be installed by following the [development version install instructions](https://github.com/networkx/networkx/blob/main/INSTALL.rst#install-the-development-version).\n",

python/cugraph-dgl/pyproject.toml

@@ -18,7 +18,7 @@ authors = [
     { name = "NVIDIA Corporation" },
 ]
 license = { text = "Apache 2.0" }
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 classifiers = [
     "Intended Audience :: Developers",
     "Programming Language :: Python",

python/cugraph-equivariant/pyproject.toml

@@ -28,11 +28,10 @@ authors = [
     { name = "NVIDIA Corporation" },
 ]
 license = { text = "Apache 2.0" }
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 classifiers = [
     "Intended Audience :: Developers",
     "Programming Language :: Python",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
 ]

python/cugraph-pyg/pyproject.toml

@@ -20,11 +20,10 @@ authors = [
     { name = "NVIDIA Corporation" },
 ]
 license = { text = "Apache 2.0" }
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 classifiers = [
     "Intended Audience :: Developers",
     "Programming Language :: Python",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
 ]

python/cugraph-service/client/pyproject.toml

@@ -18,14 +18,13 @@ authors = [
     { name = "NVIDIA Corporation" },
 ]
 license = { text = "Apache 2.0" }
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 dependencies = [
     "thriftpy2!=0.5.0,!=0.5.1",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../../dependencies.yaml and run `rapids-dependency-file-generator`.
 classifiers = [
     "Intended Audience :: Developers",
     "Programming Language :: Python",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
 ]

python/cugraph-service/server/pyproject.toml

@@ -18,7 +18,7 @@ authors = [
     { name = "NVIDIA Corporation" },
 ]
 license = { text = "Apache 2.0" }
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 dependencies = [
     "cudf==24.10.*,>=0.0.0a0",
     "cugraph-service-client==24.10.*,>=0.0.0a0",
@@ -36,7 +36,6 @@ dependencies = [
 classifiers = [
     "Intended Audience :: Developers",
     "Programming Language :: Python",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
 ]

python/cugraph/pyproject.toml

@@ -21,7 +21,7 @@ authors = [
     { name = "NVIDIA Corporation" },
 ]
 license = { text = "Apache 2.0" }
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 dependencies = [
     "cudf==24.10.*,>=0.0.0a0",
     "cupy-cuda11x>=12.0.0",
@@ -39,7 +39,6 @@ dependencies = [
 classifiers = [
     "Intended Audience :: Developers",
     "Programming Language :: Python",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
 ]

python/nx-cugraph/README.md

@@ -9,7 +9,7 @@ to run supported algorithms with GPU acceleration.
 nx-cugraph requires the following:
  * NVIDIA GPU, Volta architecture or later, with [compute capability](https://developer.nvidia.com/cuda-gpus) 7.0+
  * CUDA 11.2, 11.4, 11.5, 11.8, or 12.0
- * Python version 3.9, 3.10, or 3.11
+ * Python version 3.10 or 3.11
  * NetworkX >= version 3.0 (version 3.2 or higher recommended)
 
 More details about system requirements can be found in the [RAPIDS System Requirements documentation](https://docs.rapids.ai/install#system-req).

python/nx-cugraph/pyproject.toml

@@ -18,13 +18,12 @@ authors = [
     { name = "NVIDIA Corporation" },
 ]
 license = { text = "Apache 2.0" }
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 classifiers = [
     "Development Status :: 4 - Beta",
     "License :: OSI Approved :: Apache Software License",
     "Programming Language :: Python",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3 :: Only",
@@ -90,7 +89,7 @@ matrix-entry = "cuda_suffixed=true"
 
 [tool.black]
 line-length = 88
-target-version = ["py39", "py310", "py311"]
+target-version = ["py310", "py311"]
 
 [tool.isort]
 sections = ["FUTURE", "STDLIB", "THIRDPARTY", "FIRSTPARTY", "LOCALFOLDER"]
@@ -156,7 +155,7 @@ exclude_lines = [
 [tool.ruff]
 # https://github.com/charliermarsh/ruff/
 line-length = 88
-target-version = "py39"
+target-version = "py310"
 [tool.ruff.lint]
 unfixable = [
     "F841",  # unused-variable (Note: can leave useless expression)

python/pylibcugraph/pyproject.toml

@@ -21,15 +21,14 @@ authors = [
     { name = "NVIDIA Corporation" },
 ]
 license = { text = "Apache 2.0" }
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 dependencies = [
     "pylibraft==24.10.*,>=0.0.0a0",
     "rmm==24.10.*,>=0.0.0a0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 classifiers = [
     "Intended Audience :: Developers",
     "Programming Language :: Python",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
 ]