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Multisession modeling functionality for AutoLFADS #364

Multisession modeling functionality for AutoLFADS

Multisession modeling functionality for AutoLFADS #364

Workflow file for this run

# This is a basic workflow to help you get started with Actions
name: CI
# Controls when the action will run.
on:
# Triggers the workflow on push or pull request events but only for the reorganize branch
push:
branches: [ master, develop ]
pull_request:
branches: [ master, develop ]
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
# This workflow contains a single job called "build"
build:
# The type of runner that the job will run on
runs-on: ubuntu-latest
# Initialize docker:
services:
localstack:
image: localstack/localstack
ports:
- 4566:4566
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v2
- name: Setup
uses: actions/setup-python@v2
with:
python-version: 3.8
# Log in to docker hub.
- name: Login to Docker Hub
uses: docker/login-action@v1
with:
username: ${{ secrets.DOCKER_HUB_USERNAME }}
password: ${{ secrets.DOCKER_HUB_ACCESS_TOKEN }}
# Runs a single command using the runners shell
- name: Installation
run: |
cd $GITHUB_WORKSPACE
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
bash miniconda.sh -b -p $HOME/miniconda
source "$HOME/miniconda/etc/profile.d/conda.sh"
hash -r
conda config --set always_yes yes --set changeps1 no
conda update -q conda
conda config --append envs_dirs $HOME/miniconda/envs
conda create -n neurocaas
conda activate neurocaas
python -m pip install --upgrade pip
pip install -r requirements.txt
pip install aws-sam-cli==0.53.0
pip install localstack==0.12.3
pip install ./
sudo apt-get install jq
- name: Pull hello-world image
run: docker pull hello-world
- name: Run tests
run: |
echo $HOME $GITHUB_WORKSPACE "locations."
ls $HOME/miniconda/bin
ls $HOME/miniconda/envs
conda config --describe envs_dirs
conda env list
pytest tests/protocol_tests/test_submit_start.py
env:
AWS_DEFAULT_REGION: "us-east-1"