[RELEASE] cudf 22.10.01

README.md

@@ -65,32 +65,21 @@ Please see the [Demo Docker Repository](https://hub.docker.com/r/rapidsai/rapids
 
 cuDF can be installed with conda ([miniconda](https://conda.io/miniconda.html), or the full [Anaconda distribution](https://www.anaconda.com/download)) from the `rapidsai` channel:
 
-For `cudf version == 22.06` :
 ```bash
-# for CUDA 11.0
-conda install -c rapidsai -c nvidia -c numba -c conda-forge \
-    cudf=22.06 python=3.9 cudatoolkit=11.0
-
-# or, for CUDA 11.2
-conda install -c rapidsai -c nvidia -c numba -c conda-forge \
-    cudf=22.06 python=3.9 cudatoolkit=11.2
-
+# for CUDA 11.5
+conda install -c rapidsai -c conda-forge -c nvidia \
+    cudf=22.10 python=3.9 cudatoolkit=11.5
+# for CUDA 11.2
+conda install -c rapidsai -c conda-forge -c nvidia \
+    cudf=22.10 python=3.9 cudatoolkit=11.2
 ```
 
-For the nightly version of `cudf` :
-```bash
-# for CUDA 11.0
-conda install -c rapidsai-nightly -c nvidia -c numba -c conda-forge \
-    cudf python=3.9 cudatoolkit=11.0
-
-# or, for CUDA 11.2
-conda install -c rapidsai-nightly -c nvidia -c numba -c conda-forge \
-    cudf python=3.9 cudatoolkit=11.2
-```
+We also provide [nightly Conda packages](https://anaconda.org/rapidsai-nightly) built from the HEAD
+of our latest development branch.
 
 Note: cuDF is supported only on Linux, and with Python versions 3.8 and later.
 
-See the [Get RAPIDS version picker](https://rapids.ai/start.html) for more OS and version info. 
+See the [Get RAPIDS version picker](https://rapids.ai/start.html) for more OS and version info.
 
 ## Build/Install from Source
 See build [instructions](CONTRIBUTING.md#setting-up-your-build-environment).

conda/environments/cudf_dev_cuda11.5.yml

@@ -3,10 +3,10 @@
 name: cudf_dev
 channels:
   - rapidsai
-  - nvidia
   - rapidsai-nightly
   - dask/label/dev
   - conda-forge
+  - nvidia
 dependencies:
   - c-compiler
   - cxx-compiler
@@ -38,7 +38,7 @@ dependencies:
   - ipython
   - pandoc<=2.0.0
   - cudatoolkit=11.5
-  - cuda-python >=11.5,<11.7.1
+  - cuda-python>=11.7.1,<12.0
   - pip
   - flake8=3.8.3
   - black=22.3.0

conda/recipes/cudf/meta.yaml

@@ -62,7 +62,7 @@ requirements:
     - packaging
     - cachetools
     - cubinlinker  # [linux64]  # CUDA enhanced compatibility.
-    - cuda-python >=11.5,<11.7.1
+    - cuda-python >=11.7.1,<12.0
 test:                                   # [linux64]
   requires:                             # [linux64]
     - cudatoolkit {{ cuda_version }}.*  # [linux64]

conda/recipes/strings_udf/meta.yaml

@@ -40,7 +40,7 @@ requirements:
     - numba >=0.54
     - libcudf ={{ version }}
     - cudf ={{ version }}
-    - cudatoolkit ={{ cuda_version }}
+    - cudatoolkit {{ cuda_version }}.*
   run:
     - python
     - typing_extensions