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Updated version to 2.0.0
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ckunki committed Mar 27, 2024
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6 changes: 0 additions & 6 deletions doc/changes/changelog.md
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# 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)
4 changes: 2 additions & 2 deletions doc/changes/changes_1.1.0.md → doc/changes/changes_2.0.0.md
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# 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

Expand All @@ -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

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14 changes: 7 additions & 7 deletions doc/developer_guide/testing.md
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### 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
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2 changes: 1 addition & 1 deletion doc/user_guide/docker/docker-usage.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion doc/user_guide/vm-edition/win-vbox.md
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## 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"
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2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "exasol-ai-lab"
version = "1.1.0"
version = "2.0.0"
description = "Provide AI-Lab editions."
packages = [ {include = "exasol"}, ]
license = "MIT"
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