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# Changes here will be overwritten by Copier; NEVER EDIT MANUALLY
_commit: v4.5.2
_src_path: https://github.com/jupyterlab/extension-template
author_email: mohab_sobhy@outlook.com
author_name: mohab
has_ai_rules: false
has_binder: false
has_settings: false
kind: frontend
labextension_name: analysim-jupyterlite-integration
project_short_description: A JupyterLite frontend extension that enables seamless
integration between JupyterLite and Analysim.
python_name: analysim_jupyterlite_integration
repository: ''
test: false

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*.bundle.*
lib/
node_modules/
*.log
.eslintcache
.stylelintcache
*.egg-info/
.ipynb_checkpoints
*.tsbuildinfo
analysim_jupyterlite_integration/labextension
# Version file is handled by hatchling
analysim_jupyterlite_integration/_version.py

# Created by https://www.gitignore.io/api/python
# Edit at https://www.gitignore.io/?templates=python

### Python ###
# Virtual environments
.venv

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage/
coverage.xml
*.cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# pyenv
.python-version

# celery beat schedule file
celerybeat-schedule

# SageMath parsed files
*.sage.py

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# Mr Developer
.mr.developer.cfg
.project
.pydevproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# End of https://www.gitignore.io/api/python

# OSX files
.DS_Store

# Yarn cache
.yarn/
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node_modules
**/node_modules
**/lib
**/package.json
!/package.json
analysim_jupyterlite_integration
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nodeLinker: node-modules
enableScripts: false
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# Changelog

<!-- <START NEW CHANGELOG ENTRY> -->

<!-- <END NEW CHANGELOG ENTRY> -->
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BSD 3-Clause License

Copyright (c) 2026, mohab
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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# analysim_jupyterlite_integration

[![Github Actions Status](/workflows/Build/badge.svg)](/actions/workflows/build.yml)

A JupyterLite frontend extension that enables seamless integration between JupyterLite and Analysim.

## Requirements

- JupyterLab >= 4.0.0

## Install

To install the extension, execute:

```bash
pip install analysim_jupyterlite_integration
```

## Uninstall

To remove the extension, execute:

```bash
pip uninstall analysim_jupyterlite_integration
```

## Contributing

### Development install

Note: You will need NodeJS to build the extension package.

The `jlpm` command is JupyterLab's pinned version of
[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use
`yarn` or `npm` in lieu of `jlpm` below.

```bash
# Clone the repo to your local environment
# Change directory to the analysim_jupyterlite_integration directory

# Set up a virtual environment and install package in development mode
python -m venv .venv
source .venv/bin/activate
pip install --editable "."

# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite

# Rebuild extension Typescript source after making changes
# IMPORTANT: Unlike the steps above which are performed only once, do this step
# every time you make a change.
jlpm build
```

You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.

```bash
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab
```

With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).

By default, the `jlpm build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:

```bash
jupyter lab build --minimize=False
```

### Development uninstall

```bash
pip uninstall analysim_jupyterlite_integration
```

In development mode, you will also need to remove the symlink created by `jupyter labextension develop`
command. To find its location, you can run `jupyter labextension list` to figure out where the `labextensions`
folder is located. Then you can remove the symlink named `analysim-jupyterlite-integration` within that folder.

### Packaging the extension

See [RELEASE](RELEASE.md)
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# Making a new release of analysim_jupyterlite_integration

The extension can be published to `PyPI` and `npm` manually or using the [Jupyter Releaser](https://github.com/jupyter-server/jupyter_releaser).

## Manual release

### Python package

This extension can be distributed as Python packages. All of the Python
packaging instructions are in the `pyproject.toml` file to wrap your extension in a
Python package. Before generating a package, you first need to install some tools:

```bash
pip install build twine hatch
```

Bump the version using `hatch`. By default this will create a tag.
See the docs on [hatch-nodejs-version](https://github.com/agoose77/hatch-nodejs-version#semver) for details.

```bash
hatch version <new-version>
```

Make sure to clean up all the development files before building the package:

```bash
jlpm clean:all
```

You could also clean up the local git repository:

```bash
git clean -dfX
```

To create a Python source package (`.tar.gz`) and the binary package (`.whl`) in the `dist/` directory, do:

```bash
python -m build
```

> `python setup.py sdist bdist_wheel` is deprecated and will not work for this package.

Then to upload the package to PyPI, do:

```bash
twine upload dist/*
```

### NPM package

To publish the frontend part of the extension as a NPM package, do:

```bash
npm login
npm publish --access public
```

## Automated releases with the Jupyter Releaser

The extension repository should already be compatible with the Jupyter Releaser. But
the GitHub repository and the package managers need to be properly set up. Please
follow the instructions of the Jupyter Releaser [checklist](https://jupyter-releaser.readthedocs.io/en/latest/how_to_guides/convert_repo_from_repo.html).

Here is a summary of the steps to cut a new release:

- Go to the Actions panel
- Run the "Step 1: Prep Release" workflow
- Check the draft changelog
- Run the "Step 2: Publish Release" workflow

> [!NOTE]
> Check out the [workflow documentation](https://jupyter-releaser.readthedocs.io/en/latest/get_started/making_release_from_repo.html)
> for more information.

## Publishing to `conda-forge`

If the package is not on conda forge yet, check the documentation to learn how to add it: https://conda-forge.org/docs/maintainer/adding_pkgs.html

Otherwise a bot should pick up the new version publish to PyPI, and open a new PR on the feedstock repository automatically.
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try:
from ._version import __version__
except ImportError:
# Fallback when using the package in dev mode without installing
# in editable mode with pip. It is highly recommended to install
# the package from a stable release or in editable mode: https://pip.pypa.io/en/stable/topics/local-project-installs/#editable-installs
import warnings
warnings.warn("Importing 'analysim_jupyterlite_integration' outside a proper installation.")
__version__ = "dev"


def _jupyter_labextension_paths():
return [{
"src": "labextension",
"dest": "analysim-jupyterlite-integration"
}]
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{
"packageManager": "python",
"packageName": "analysim_jupyterlite_integration",
"uninstallInstructions": "Use your Python package manager (pip, conda, etc.) to uninstall the package analysim_jupyterlite_integration"
}
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