update github woorkflow config

.github/ISSUE_TEMPLATE/---bug-report.md

@@ -32,12 +32,12 @@ Steps to reproduce the behavior:
 ## Environment
 
 - MARO version (e.g., v0.1.1a1):
-- MARO scenario (`CIM`, `Citi Bike`):
+- MARO scenario (`CIM`, `Citi Bike`, `VM Scheduling`):
 - MARO component (`Simulation`, `RL`, `Distributed Training`):
 - Orchestration platform (`GraSS on Azure`, `AKS on Azure`):
 - How you installed MARO (`pip`, `source`):
 - OS (`Linux`, `Windows`, `macOS`):
-- Python version (`3.6`, `3.7`):
+- Python version (`3.7`, `3.8`, `3.9`):
 - Docker image (e.g., maro2020/maro:latest):
 - CPU/GPU:
 - Any other relevant information:

.github/PULL_REQUEST_TEMPLATE.md

@@ -31,8 +31,9 @@ Please also add other related information/contexts/dependencies here.
   - [ ] Mac OS
   - [ ] Linux
 - Python version:
-  - [ ] 3.6
   - [ ] 3.7
+  - [ ] 3.8
+  - [ ] 3.9
 - Key information snapshot(s):
 
 ## Needs Follow Up Actions

.github/workflows/build_wheel.yml

@@ -13,7 +13,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, windows-latest, macos-latest]
-        python-version: [3.6, 3.7]
+        python-version: [3.7, 3.8, 3.9]
 
     steps:
     - uses: actions/checkout@v2

.github/workflows/deploy_docker_image.yml

@@ -21,10 +21,10 @@ jobs:
     steps:
     # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
     - uses: actions/checkout@v2
-    - name: Set up Python 3.6
+    - name: Set up Python 3.7
       uses: actions/setup-python@v2
       with:
-        python-version: 3.6
+        python-version: 3.7
 
     - name: Build image
       run: |

.github/workflows/test.yml

@@ -1,4 +1,3 @@
-
 name: test
 
 on:
@@ -14,7 +13,7 @@ jobs:
     strategy:
         matrix:
           os: [ubuntu-18.04, windows-latest, macos-latest]
-          python-version: [3.6, 3.7, 3.8, 3.9]
+          python-version: [3.7, 3.8, 3.9]
 
     steps:
     - uses: actions/checkout@v2

.github/workflows/test_with_cli.yml

@@ -2,6 +2,7 @@ name: test_with_cli
 
 on:
   pull_request_review:
+    branches: [ master, v0.1, v0.2, v0.3 ]
     types: [ submitted ]
   workflow_dispatch:
 

docs/source/installation/grass_on_premises_cluster_provisioning.rst

@@ -10,7 +10,7 @@ in local private network and run your training job in On-Premises distributed en
 Prerequisites
 -------------
 
-* Linux with Python 3.6+
+* Linux with Python 3.7+
 * `Install Powershell <https://docs.microsoft.com/en-us/powershell/scripting/install/installing-powershell?view=powershell-7.1>`_ if you are using Windows Server
 * For master node vm, need install flask, gunicorn, and redis.
 
@@ -96,4 +96,4 @@ grass-on-premises-join-cluster
 
      config:
        install_node_runtime: true
-       install_node_gpu_support: false
+       install_node_gpu_support: false

docs/source/installation/multi_processes_localhost_provisioning.rst

@@ -5,7 +5,7 @@ the multi-processes in the localhost environment.
 
 Prerequisites
 -------------
-* Linux with Python 3.6+
+* Linux with Python 3.7+
 * Redis
 
 Cluster Management

docs/source/installation/pip_install.rst

@@ -25,7 +25,7 @@ Install MARO from Source (\ `Editable Mode <https://pip.pypa.io/en/stable/refere
 
 * Prerequisites
 
-  * `Python >= 3.6, < 3.8 <https://www.python.org/downloads/>`_
+  * `Python >= 3.7 <https://www.python.org/downloads/>`_
   * C++ Compiler
 
     * Linux or Mac OS X: ``gcc``

docs/source/key_components/geographic_visualization.rst

@@ -12,7 +12,7 @@ local mode for the finished epoch under real-time mode.
 Dependency
 ----------
 
-Env-geographic's startup depends on **docker** and **docker-compose**. 
+Env-geographic's startup depends on **docker** and **docker-compose**.
 Therefore, users need to install docker on the machine and ensure that it can run normally.
 User could get docker through `Docker installation <https://docs.docker.com/get-docker/>`_.
 
@@ -44,7 +44,7 @@ Firstly, user need to start the local database with command:
 ----
 
 After the command is executed successfully, user
-could view the local data with localhost:9000 by default. 
+could view the local data with localhost:9000 by default.
 If the default port is occupied, user could obtain the access port of each container
 through the following command:
 
@@ -91,7 +91,7 @@ To send data to database, there are 2 compulsory steps:
 
 User needs to set the value of the environment variable
 "MARO_STREAMIT_ENABLED" to "true". If user wants to specify the experiment name,
-set the environment variable "MARO_STREAMIT_EXPERIMENT_NAME". If user does not 
+set the environment variable "MARO_STREAMIT_EXPERIMENT_NAME". If user does not
 set this value, a unique experiment name would be processed automatically. User
 could check the experiment name through database. It should be noted that when
 selecting a topology, user must select a topology with specific geographic
@@ -118,7 +118,7 @@ package **streamit** with following code before environment initialization:
       # Initialize environment and send basic information of experiment to database.
       env = Env(scenario="cim", topology="global_trade.22p_l0.1",
                start_tick=0, durations=100)
-      
+
       for ep in range(EPISODE_NUMBER):
             # Send experimental data to database by episode.
             streamit.episode(ep)
@@ -144,8 +144,8 @@ command:
 
 ----
 
-Generally, the backend service runs on a local machine, occupying port 5000. 
-If port 5000 is already occupied, the program would find another free port starting from 5000. 
+Generally, the backend service runs on a local machine, occupying port 5000.
+If port 5000 is already occupied, the program would find another free port starting from 5000.
 
 To be specific, if user would like to run the backend service in docker rather on a local machine, please
 run the shell script run_docker.sh under the folder maro\maro\cli\maro_real_time_vis. It should be noted that

scripts/build_manylinux.sh

@@ -1,11 +1,11 @@
 #!/bin/bash
 
-# this script used build maro packages for linux 
+# this script used build maro packages for linux
 
 cd "$(dirname $(readlink -f $0))/.."
 
 bash ./scripts/compile_cython.sh
 
 # NOTE: currently we only support python3.6 and 3.7, need to be clearfy the python and packages version
 # about manylinux: https://github.com/pypa/manylinux
-docker run --rm -v "$PWD":/maro quay.io/pypa/manylinux2010_x86_64 bash /maro/scripts/build_wheel.sh
+docker run --rm -v "$PWD":/maro quay.io/pypa/manylinux2010_x86_64 bash /maro/scripts/build_wheel.sh

setup.py

@@ -117,12 +117,11 @@
         'Operating System :: Unix',
         "Programming Language :: Python",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.6",
         "Programming Language :: Python :: 3.7",
         "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",
         "Topic :: Scientific/Engineering :: Artificial Intelligence"],
-    python_requires=">=3.6",
+    python_requires=">=3.7",
     setup_requires=[
         "numpy<1.20.0",
     ],