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GH-44393: [C++][Compute] Swizzle vector functions #5811

GH-44393: [C++][Compute] Swizzle vector functions

GH-44393: [C++][Compute] Swizzle vector functions #5811

Workflow file for this run

# Licensed to the Apache Software Foundation (ASF) under one
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# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
name: Docs
on:
pull_request:
paths:
- '.dockerignore'
- 'docs/**'
- '.github/workflows/docs_light.yml'
- 'ci/docker/conda.dockerfile'
- 'ci/docker/conda-cpp.dockerfile'
- 'ci/docker/conda-python.dockerfile'
- 'ci/scripts/cpp_build.sh'
- 'ci/scripts/python_build.sh'
- 'docker-compose.yml'
permissions:
contents: read
env:
ARCHERY_DEBUG: 1
ARROW_ENABLE_TIMING_TESTS: OFF
DOCKER_VOLUME_PREFIX: ".docker/"
jobs:
light:
name: AMD64 Conda Python 3.9 Sphinx Documentation
runs-on: ubuntu-latest
if: ${{ !contains(github.event.pull_request.title, 'WIP') }}
timeout-minutes: 60
env:
PYTHON: "3.9"
steps:
- name: Checkout Arrow
uses: actions/checkout@3df4ab11eba7bda6032a0b82a6bb43b11571feac # v4.0.0
with:
fetch-depth: 0
- name: Cache Docker Volumes
uses: actions/cache@13aacd865c20de90d75de3b17ebe84f7a17d57d2 # v4.0.0
with:
path: .docker
key: conda-docs-${{ hashFiles('cpp/**') }}
restore-keys: conda-docs-
- name: Setup Python
uses: actions/setup-python@f677139bbe7f9c59b41e40162b753c062f5d49a3 # v5.2.0
with:
python-version: 3.12
- name: Setup Archery
run: pip install -e dev/archery[docker]
- name: Execute Docker Build
env:
ARCHERY_DOCKER_USER: ${{ secrets.DOCKERHUB_USER }}
ARCHERY_DOCKER_PASSWORD: ${{ secrets.DOCKERHUB_TOKEN }}
run: archery docker run conda-python-docs