rapidsai · raydouglass · Dec 8, 2022 · Sep 23, 2022 · Sep 23, 2022 · Sep 24, 2022
@@ -3,14 +3,14 @@
 cuDF (Python):
   - 'python/**'
   - 'notebooks/**'
-  
+
 libcudf:
   - 'cpp/**'
 
 CMake:
   - '**/CMakeLists.txt'
   - '**/cmake/**'
-  
+
 cuDF (Java):
   - 'java/**'
 

@@ -0,0 +1,20 @@
+name: Add new issue/PR to project
+
+on:
+  issues:
+    types:
+      - opened
+
+  pull_request_target:
+    types:
+      - opened
+
+jobs:
+  add-to-project:
+    name: Add issue or PR to project
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/add-to-project@v0.3.0
+        with:
+          project-url: https://github.com/orgs/rapidsai/projects/51
+          github-token: ${{ secrets.ADD_TO_PROJECT_GITHUB_TOKEN }}
@@ -0,0 +1,12 @@
+name: pr
+
+on:
+  pull_request:
+
+jobs:
+  checks:
+    secrets: inherit
+    uses: rapidsai/shared-action-workflows/.github/workflows/checks.yaml@main
+    with:
+      enable_check_size: false
+      enable_check_style: false
@@ -0,0 +1,77 @@
+name: cuDF wheels
+
+on:
+  workflow_call:
+    inputs:
+      versioneer-override:
+        type: string
+        default: ''
+      build-tag:
+        type: string
+        default: ''
+      branch:
+        required: true
+        type: string
+      date:
+        required: true
+        type: string
+      sha:
+        required: true
+        type: string
+      build-type:
+        type: string
+        default: nightly
+
+concurrency:
+  group: "cudf-${{ github.workflow }}-${{ github.ref }}"
+  cancel-in-progress: true
+
+jobs:
+  cudf-wheels:
+    uses: rapidsai/shared-action-workflows/.github/workflows/wheels-manylinux.yml@main
+    with:
+      repo: rapidsai/cudf
+
+      build-type: ${{ inputs.build-type }}
+      branch: ${{ inputs.branch }}
+      sha: ${{ inputs.sha }}
+      date: ${{ inputs.date }}
+
+      package-dir: python/cudf
+      package-name: cudf
+
+      python-package-versioneer-override: ${{ inputs.versioneer-override }}
+      python-package-build-tag: ${{ inputs.build-tag }}
+
+      skbuild-configure-options: "-DCUDF_BUILD_WHEELS=ON -DDETECT_CONDA_ENV=OFF"
+
+      test-extras:  test
+
+      # Have to manually specify the cupy install location on arm.
+      # Have to also manually install tokenizers==0.10.2, which is the last tokenizers
+      # to have a binary aarch64 wheel available on PyPI
+      # Otherwise, the tokenizers sdist is used, which needs a Rust compiler
+      test-before-arm64: "pip install tokenizers==0.10.2 cupy-cuda11x -f https://pip.cupy.dev/aarch64"
+
+      test-unittest: "pytest -v -n 8 ./python/cudf/cudf/tests"
+    secrets: inherit
+  dask_cudf-wheel:
+    needs: cudf-wheels
+    uses: rapidsai/shared-action-workflows/.github/workflows/wheels-pure.yml@main
+    with:
+      repo: rapidsai/cudf
+
+      build-type: ${{ inputs.build-type }}
+      branch: ${{ inputs.branch }}
+      sha: ${{ inputs.sha }}
+      date: ${{ inputs.date }}
+
+      package-dir: python/dask_cudf
+      package-name: dask_cudf
+
+      python-package-versioneer-override: ${{ inputs.versioneer-override }}
+      python-package-build-tag: ${{ inputs.build-tag }}
+
+      test-extras:  test
+      test-unittest: "pytest -v -n 8 ./python/dask_cudf/dask_cudf/tests"
+    secrets: inherit
diff --git a/.gitignore b/.gitignore
@@ -70,7 +70,6 @@ junit-cudf.xml
 test-results
 
 ## Patching
-*.diff
 *.orig
 *.rej
 
@@ -166,3 +165,8 @@ dask-worker-space/
 # Sphinx docs & build artifacts
 docs/cudf/source/api_docs/generated/*
 docs/cudf/source/api_docs/api/*
+docs/cudf/source/user_guide/example_output/*
+docs/cudf/source/user_guide/cudf.*Dtype.*.rst
+
+# cibuildwheel
+/wheelhouse
@@ -1,6 +1,19 @@
 # Copyright (c) 2019-2022, NVIDIA CORPORATION.
 
 repos:
+      - repo: https://github.com/pre-commit/pre-commit-hooks
+        rev: v4.3.0
+        hooks:
+              - id: trailing-whitespace
+                exclude: |
+                  (?x)^(
+                    ^python/cudf/cudf/tests/data/subword_tokenizer_data/.*
+                  )
+              - id: end-of-file-fixer
+                exclude: |
+                  (?x)^(
+                    ^python/cudf/cudf/tests/data/subword_tokenizer_data/.*
+                  )
       - repo: https://github.com/PyCQA/isort
         rev: 5.10.1
         hooks:
@@ -18,12 +31,18 @@ repos:
                 # Explicitly specify the pyproject.toml at the repo root, not per-project.
                 args: ["--config", "pyproject.toml"]
       - repo: https://github.com/PyCQA/flake8
-        rev: 3.8.3
+        rev: 5.0.4
         hooks:
               - id: flake8
                 args: ["--config=setup.cfg"]
-                files: python/.*\.(py|pyx|pxd)$
+                files: python/.*$
                 types: [file]
+                types_or: [python, cython]
+                additional_dependencies: ["flake8-force"]
+      - repo: https://github.com/MarcoGorelli/cython-lint
+        rev: v0.1.10
+        hooks:
+              - id: cython-lint
       - repo: https://github.com/pre-commit/mirrors-mypy
         rev: 'v0.971'
         hooks:
@@ -46,6 +65,16 @@ repos:
               - id: clang-format
                 types_or: [c, c++, cuda]
                 args: ["-fallback-style=none", "-style=file", "-i"]
+      - repo: https://github.com/sirosen/texthooks
+        rev: 0.4.0
+        hooks:
+              - id: fix-smartquotes
+                exclude: |
+                  (?x)^(
+                    ^cpp/include/cudf_test/cxxopts.hpp|
+                    ^python/cudf/cudf/tests/data/subword_tokenizer_data/.*|
+                    ^python/cudf/cudf/tests/test_text.py
+                  )
       - repo: local
         hooks:
               - id: no-deprecationwarning

diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,3 +1,7 @@
+# cuDF 22.12.00 (Date TBD)
+
+Please see https://github.com/rapidsai/cudf/releases/tag/v22.12.00a for the latest changes to this development branch.
+
 # cuDF 22.10.00 (12 Oct 2022)
 
 ## 🚨 Breaking Changes

diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
@@ -99,13 +99,13 @@ cd $CUDF_HOME
 **Note:** Using a conda environment is the easiest way to satisfy the library's dependencies.
 Instructions for a minimal build environment without conda are included below.
 
-- Create the conda development environment `cudf_dev`:
+- Create the conda development environment:
 
 ```bash
 # create the conda environment (assuming in base `cudf` directory)
 # note: RAPIDS currently doesn't support `channel_priority: strict`;
 # use `channel_priority: flexible` instead
-conda env create --name cudf_dev --file conda/environments/cudf_dev_cuda11.5.yml
+conda env create --name cudf_dev --file conda/environments/all_cuda-115_arch-x86_64.yaml
 # activate the environment
 conda activate cudf_dev
 ```
@@ -114,9 +114,6 @@ conda activate cudf_dev
   development environment may also need to be updated if dependency versions or
   pinnings are changed.
 
-- For other CUDA versions, check the corresponding `cudf_dev_cuda*.yml` file in
-  `conda/environments/`.
-
 #### Building without a conda environment
 
 - libcudf has the following minimal dependencies (in addition to those listed in the [General
@@ -382,7 +379,7 @@ You can skip these checks with `git commit --no-verify` or with the short versio
 
 ## Developer Guidelines
 
-The [C++ Developer Guide](cpp/docs/DEVELOPER_GUIDE.md) includes details on contributing to libcudf C++ code.
+The [C++ Developer Guide](cpp/doxygen/developer_guide/DEVELOPER_GUIDE.md) includes details on contributing to libcudf C++ code.
 
 The [Python Developer Guide](https://docs.rapids.ai/api/cudf/stable/developer_guide/index.html) includes details on contributing to cuDF Python code.
 

diff --git a/README.md b/README.md
@@ -50,7 +50,7 @@ For additional examples, browse our complete [API documentation](https://docs.ra
 
 ## Quick Start
 
-Please see the [Demo Docker Repository](https://hub.docker.com/r/rapidsai/rapidsai/), choosing a tag based on the NVIDIA CUDA version you’re running. This provides a ready to run Docker container with example notebooks and data, showcasing how you can utilize cuDF.
+Please see the [Demo Docker Repository](https://hub.docker.com/r/rapidsai/rapidsai/), choosing a tag based on the NVIDIA CUDA version you're running. This provides a ready to run Docker container with example notebooks and data, showcasing how you can utilize cuDF.
 
 ## Installation
 

@@ -64,7 +64,7 @@ BUILD_BENCHMARKS=OFF
 BUILD_ALL_GPU_ARCH=0
 BUILD_NVTX=ON
 BUILD_TESTS=OFF
-BUILD_DISABLE_DEPRECATION_WARNING=ON
+BUILD_DISABLE_DEPRECATION_WARNINGS=ON
 BUILD_PER_THREAD_DEFAULT_STREAM=OFF
 BUILD_REPORT_METRICS=OFF
 BUILD_REPORT_INCL_CACHE_STATS=OFF
@@ -216,7 +216,7 @@ if hasArg --opensource_nvcomp; then
     USE_PROPRIETARY_NVCOMP="OFF"
 fi
 if hasArg --show_depr_warn; then
-    BUILD_DISABLE_DEPRECATION_WARNING=OFF
+    BUILD_DISABLE_DEPRECATION_WARNINGS=OFF
 fi
 if hasArg --ptds; then
     BUILD_PER_THREAD_DEFAULT_STREAM=ON
@@ -285,7 +285,7 @@ if buildAll || hasArg libcudf; then
           -DCUDF_USE_PROPRIETARY_NVCOMP=${USE_PROPRIETARY_NVCOMP} \
           -DBUILD_TESTS=${BUILD_TESTS} \
           -DBUILD_BENCHMARKS=${BUILD_BENCHMARKS} \
-          -DDISABLE_DEPRECATION_WARNING=${BUILD_DISABLE_DEPRECATION_WARNING} \
+          -DDISABLE_DEPRECATION_WARNINGS=${BUILD_DISABLE_DEPRECATION_WARNINGS} \
           -DCUDF_USE_PER_THREAD_DEFAULT_STREAM=${BUILD_PER_THREAD_DEFAULT_STREAM} \
           -DCMAKE_BUILD_TYPE=${BUILD_TYPE} \
           ${EXTRA_CMAKE_ARGS}

@@ -37,7 +37,7 @@ export GBENCH_BENCHMARKS_DIR="$WORKSPACE/cpp/build/gbenchmarks/"
 export LIBCUDF_KERNEL_CACHE_PATH="$HOME/.jitify-cache"
 
 # Dask & Distributed option to install main(nightly) or `conda-forge` packages.
-export INSTALL_DASK_MAIN=0
+export INSTALL_DASK_MAIN=1
 
 # Dask version to install when `INSTALL_DASK_MAIN=0`
 export DASK_STABLE_VERSION="2022.9.2"
@@ -82,8 +82,8 @@ conda install "rmm=$MINOR_VERSION.*" "cudatoolkit=$CUDA_REL" \
 
 # Install the conda-forge or nightly version of dask and distributed
 if [[ "${INSTALL_DASK_MAIN}" == 1 ]]; then
-    gpuci_logger "gpuci_mamba_retry update dask"
-    gpuci_mamba_retry update dask
+    gpuci_logger "gpuci_mamba_retry install -c dask/label/dev 'dask/label/dev::dask' 'dask/label/dev::distributed'"
+    gpuci_mamba_retry install -c dask/label/dev "dask/label/dev::dask" "dask/label/dev::distributed"
 else
     gpuci_logger "gpuci_mamba_retry install conda-forge::dask=={$DASK_STABLE_VERSION} conda-forge::distributed=={$DASK_STABLE_VERSION} conda-forge::dask-core=={$DASK_STABLE_VERSION} --force-reinstall"
     gpuci_mamba_retry install conda-forge::dask=={$DASK_STABLE_VERSION} conda-forge::distributed=={$DASK_STABLE_VERSION} conda-forge::dask-core=={$DASK_STABLE_VERSION} --force-reinstall