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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# 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.
# this travis configuration can be used to submit cron scheduled tasks
# 1. copy this file to one of crossbow's branch (master for example) with
# filename .travis.yml
# 2. setup daily cron jobs for that particular branch, see travis'
# documentation https://docs.travis-ci.com/user/cron-jobs/
branches:
# don't attempt to build branches intended for windows builds
except:
- /.*win.*/
os: linux
dist: trusty
language: generic
before_install:
# Install Miniconda.
- echo `pwd`
- |
echo ""
echo "Installing a fresh version of Miniconda."
MINICONDA_URL="https://repo.continuum.io/miniconda"
MINICONDA_FILE="Miniconda3-latest-Linux-x86_64.sh"
curl -L -O "${MINICONDA_URL}/${MINICONDA_FILE}"
bash $MINICONDA_FILE -b
# Configure conda.
- |
echo ""
echo "Configuring conda."
source /home/travis/miniconda3/bin/activate root
conda config --remove channels defaults
conda config --add channels defaults
conda config --add channels conda-forge
conda config --set show_channel_urls true
install:
- pushd ..
# to build against a specific branch of a fork
# git clone -b <branch> https://github.com/<user>/arrow
- git clone https://github.com/apache/arrow
- pip install dev/archery[crossbow]
script:
# submit packaging tasks
- |
if [ $TRAVIS_EVENT_TYPE = "cron" ]; then
archery crossbow submit -g conda -g wheel -g linux
else
archery crossbow submit --dry-run -g conda -g wheel -g linux
fi
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