Metadata-Version: 2.1
Name: jupyterlab_execute_time
Version: 2.0.4
Summary: Display cell timings in Jupyter Lab
Home-page: https://github.com/deshaw/jupyterlab-execute-time
Author: Marc Udoff
License: BSD-3-Clause
Description: # jupyterlab-execute-time
        
        [![PyPI version][pypi-image]][pypi-url] [![PyPI DM][pypi-dm-image]][pypi-url]
        [![Github Actions Status][github-status-image]][github-status-url] [![Binder][binder-image]][binder-url]
        
        Display cell timings in Jupyter Lab
        
        ![Execute Time Screenshot](https://github.com/deshaw/jupyterlab-execute-time/blob/master/docs/execute-time-screenshot.png?raw=true)
        
        This is inspired by the notebook version [here](https://github.com/ipython-contrib/jupyter_contrib_nbextensions/blob/master/src/jupyter_contrib_nbextensions/nbextensions/execute_time).
        
        Note: for this to show anything, you need to enable cell timing in the notebook via Settings->Advanced Settings Editor->Notebook: `{"recordTiming": true}`. This is a notebook metadata setting and not a plugin setting. The plugin just displays this data.
        
        ## Requirements
        
        - JupyterLab >= 3.0
        
        ## Install
        
        To install this package with [`pip`](https://pip.pypa.io/en/stable/) run
        
        ```bash
        pip install jupyterlab_execute_time
        ```
        
        To install this package with [`conda`](https://docs.conda.io/en/latest/) run
        
        ```bash
        conda install -c conda-forge jupyterlab_execute_time
        ```
        
        ## 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 jupyterlab_execute_time directory
        # Install package in development mode
        pip install -e .
        # Link your development version of the extension with JupyterLab
        jupyter labextension develop . --overwrite
        # Rebuild extension Typescript source after making changes
        jlpm run 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 run 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 run 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
        ```
        
        #### Publishing
        
        Before starting, you'll need to have run: `pip install twine jupyter_packaging`
        
        1. Update the version in `package.json` and update the release date in `CHANGELOG.md`
        2. Commit the change in step 1, tag it, then push it
        
        ```
        git commit -am <msg>
        git tag vX.Z.Y
        git push && git push --tags
        ```
        
        3. Create the artifacts
        
        ```
        rm -rf dist
        python setup.py sdist bdist_wheel
        ```
        
        4. Test this against the test pypi. You can then install from here to test as well:
        
        ```
        twine upload --repository-url https://test.pypi.org/legacy/ dist/*
        # In a new venv
        pip install --index-url https://test.pypi.org/simple/ jupyterlab_execute_time
        ```
        
        5. Upload this to pypi:
        
        ```
        twine upload dist/*
        ```
        
        ### Uninstall
        
        ```bash
        pip uninstall jupyterlab_execute_time
        ```
        
        ## History
        
        This plugin was contributed back to the community by the [D. E. Shaw group](https://www.deshaw.com/).
        
        <p align="center">
            <a href="https://www.deshaw.com">
               <img src="https://www.deshaw.com/assets/logos/blue_logo_417x125.png" alt="D. E. Shaw Logo" height="75" >
            </a>
        </p>
        
        ## License
        
        This project is released under a [BSD-3-Clause license](https://github.com/deshaw/jupyterlab-execute-time/blob/master/LICENSE.txt).
        
        "Jupyter" is a trademark of the NumFOCUS foundation, of which Project Jupyter is a part.
        
        [pypi-url]: https://pypi.org/project/jupyterlab-execute-time
        [pypi-image]: https://img.shields.io/pypi/v/jupyterlab-execute-time
        [pypi-dm-image]: https://img.shields.io/pypi/dm/jupyterlab-execute-time
        [github-status-image]: https://github.com/deshaw/jupyterlab-execute-time/workflows/Build/badge.svg
        [github-status-url]: https://github.com/deshaw/jupyterlab-execute-time/actions?query=workflow%3ABuild
        [binder-image]: https://mybinder.org/badge_logo.svg
        [binder-url]: https://mybinder.org/v2/gh/deshaw/jupyterlab-execute-time.git/master?urlpath=lab%2Ftree%2Fnotebooks%2Findex.ipynb
        
Keywords: Jupyter,JupyterLab,JupyterLab3
Platform: Linux
Platform: Mac OS X
Platform: Windows
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Framework :: Jupyter
Requires-Python: >=3.6
Description-Content-Type: text/markdown
