diff --git a/doc/changes/changelog.md b/doc/changes/changelog.md index 8b873cbe..e69de29b 100644 --- a/doc/changes/changelog.md +++ b/doc/changes/changelog.md @@ -1,6 +0,0 @@ -# Changes - -* [1.1.0](changes_1.1.0.md) -* [1.0.0](changes_1.0.0.md) -* [0.2.0](changes_0.2.0.md) -* [0.1.0](changes_0.1.0.md) diff --git a/doc/changes/changes_1.1.0.md b/doc/changes/changes_2.0.0.md similarity index 97% rename from doc/changes/changes_1.1.0.md rename to doc/changes/changes_2.0.0.md index 5dca2d45..06d229cb 100644 --- a/doc/changes/changes_1.1.0.md +++ b/doc/changes/changes_2.0.0.md @@ -1,4 +1,4 @@ -# AI-Lab 1.1.0 released tbd +# AI-Lab 2.0.0 released 2024-03-28 Code name: Use non-privileged user for running JupyterLab @@ -17,7 +17,7 @@ In case you are using the AI-Lab's Docker Edition with mounted volume, then plea ## AI-Lab-Release -Version: 1.1.0 +Version: 2.0.0 ## Features diff --git a/doc/developer_guide/testing.md b/doc/developer_guide/testing.md index 95b5082a..33d15ad4 100644 --- a/doc/developer_guide/testing.md +++ b/doc/developer_guide/testing.md @@ -1,17 +1,17 @@ ### Tests -XAL comes with a number of tests in directory `test`. -Besides, unit and integrations tests in the respective directories -there are tests in directory `codebuild`, see [Executing AWS CodeBuild](ci.md#executing-aws-codebuild). +XAL comes with a number of tests in directory `test`. +Besides, unit and integrations tests in the respective directories +there are tests in directory `codebuild`, see [Executing AWS CodeBuild](ci.md#executing-aws-codebuild). # Speeding up Docker-based Tests -Creating a docker image is quite time-consuming, currently around 7 minutes. In order to use an existing -docker image in the tests in `integration/test_create_dss_docker_image.py` +Creating a docker image is quite time-consuming, currently around 7 minutes. In order to use an existing +docker image in the tests in `integration/test_create_dss_docker_image.py` simply add CLI option `--dss-docker-image` when calling `pytest`: -```shell -poetry run pytest --dss-docker-image exasol/ai-lab:1.0.0 +```shell +poetry run pytest --dss-docker-image exasol/ai-lab:2.0.0 ``` #### Executing tests involving AWS resources diff --git a/doc/user_guide/docker/docker-usage.md b/doc/user_guide/docker/docker-usage.md index 5682b556..4679763f 100644 --- a/doc/user_guide/docker/docker-usage.md +++ b/doc/user_guide/docker/docker-usage.md @@ -20,7 +20,7 @@ The Unix shell commands in the following sections will use some environment vari Here is an example: ```shell -VERSION=1.0.0 +VERSION=2.0.0 LISTEN_IP=0.0.0.0 VOLUME=my-vol CONTAINER_NAME=ai-lab diff --git a/doc/user_guide/vm-edition/win-vbox.md b/doc/user_guide/vm-edition/win-vbox.md index 07b4771a..1fe35d76 100644 --- a/doc/user_guide/vm-edition/win-vbox.md +++ b/doc/user_guide/vm-edition/win-vbox.md @@ -9,7 +9,7 @@ ## Select Virtual machine Name and Operating System * Create a new virtual machine -* Enter a name for your virtual machine, e.g. "Exasol-AI-Lab-1.0.0" +* Enter a name for your virtual machine, e.g. "Exasol-AI-Lab-2.0.0" * Select a folder to store the VM image to * Select operating system "Linux", e.g. version "Ubuntu 22.04" * Click button "Next" diff --git a/pyproject.toml b/pyproject.toml index 138a3b5c..a2d20126 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "exasol-ai-lab" -version = "1.1.0" +version = "2.0.0" description = "Provide AI-Lab editions." packages = [ {include = "exasol"}, ] license = "MIT"