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|
%global _empty_manifest_terminate_build 0
Name: python-lckr-jupyterlab-variableinspector
Version: 3.0.9
Release: 1
Summary: Variable inspector extension for JupyterLab
License: BSD-3-Clause
URL: https://github.com/lckr/jupyterlab-variableInspector.git
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/81/52/db62d097de82c65cf25847b9bbe2fdddda0e40968f0c9752ea360b8b5060/lckr_jupyterlab_variableinspector-3.0.9.tar.gz
BuildArch: noarch
%description
# jupyterlab_variableinspector
[](https://mybinder.org/v2/gh/lckr/jupyterlab-variableInspector.git/master?urlpath=lab)
[](https://opensource.org/licenses/)
Jupyterlab extension that shows currently used variables and their values.
Contributions in any form are welcome!
## Features
- Allows inspection of variables for both consoles and notebooks.
- Allows inspection of matrices in a datagrid-viewer. This might not work for large matrices.
- Allows an inline and interactive inspection of Jupyter Widgets.
### Supported Languages
- This extension is currently targets `python` as a main language but also supports the following languages with different levels of feature completeness
- `R`
- `scala` via the [almond kernel](https://github.com/almond-sh/almond)
### How it Works
In order to allow variabale inspection, all content that is displayed first need to be sent from the kernel to the front end.
Therefore, opening large data frames with the datagrid viewer can dramatically increase your occupied memory and *significantly slow down* your browser.
Use at your own risk.
## Requirements
* JupyterLab >= 3.0
### Requirements for `python` functionality
- `pandas` and `numpy` are required to enable matrix inspection.
- `pyspark` for spark support.
- `tensorflow` and `keras` to allow inspection of tf objects.
- `torch` for PyTorch support.
### Requirements for `R` functionality
- The `repr` library.
### Requirements for `ipywidgets` functionality
The variable inspector can also display Jupyter interactive widgets:
The requirements for this functionality are:
- `ipywidgets`
- Support for widgets in JupyterLab: `jupyter labextension install @jupyter-widgets/jupyterlab-manager`
## Install
**NOTE:** The main way to install this extension is via pip as described below.
```bash
pip install lckr-jupyterlab-variableinspector
```
Alternatively, one can install the extension from npmjs via:
```bash
jupyter labextension install @lckr/jupyterlab_variableinspector
```
or via the extension manager that comes built-in with Jupyterlab
## 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 lckr_jupyterlab_variableinspector 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
```
### Uninstall
```bash
pip uninstall lckr_jupyterlab_variableinspector
```
%package -n python3-lckr-jupyterlab-variableinspector
Summary: Variable inspector extension for JupyterLab
Provides: python-lckr-jupyterlab-variableinspector
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-lckr-jupyterlab-variableinspector
# jupyterlab_variableinspector
[](https://mybinder.org/v2/gh/lckr/jupyterlab-variableInspector.git/master?urlpath=lab)
[](https://opensource.org/licenses/)
Jupyterlab extension that shows currently used variables and their values.
Contributions in any form are welcome!
## Features
- Allows inspection of variables for both consoles and notebooks.
- Allows inspection of matrices in a datagrid-viewer. This might not work for large matrices.
- Allows an inline and interactive inspection of Jupyter Widgets.
### Supported Languages
- This extension is currently targets `python` as a main language but also supports the following languages with different levels of feature completeness
- `R`
- `scala` via the [almond kernel](https://github.com/almond-sh/almond)
### How it Works
In order to allow variabale inspection, all content that is displayed first need to be sent from the kernel to the front end.
Therefore, opening large data frames with the datagrid viewer can dramatically increase your occupied memory and *significantly slow down* your browser.
Use at your own risk.
## Requirements
* JupyterLab >= 3.0
### Requirements for `python` functionality
- `pandas` and `numpy` are required to enable matrix inspection.
- `pyspark` for spark support.
- `tensorflow` and `keras` to allow inspection of tf objects.
- `torch` for PyTorch support.
### Requirements for `R` functionality
- The `repr` library.
### Requirements for `ipywidgets` functionality
The variable inspector can also display Jupyter interactive widgets:
The requirements for this functionality are:
- `ipywidgets`
- Support for widgets in JupyterLab: `jupyter labextension install @jupyter-widgets/jupyterlab-manager`
## Install
**NOTE:** The main way to install this extension is via pip as described below.
```bash
pip install lckr-jupyterlab-variableinspector
```
Alternatively, one can install the extension from npmjs via:
```bash
jupyter labextension install @lckr/jupyterlab_variableinspector
```
or via the extension manager that comes built-in with Jupyterlab
## 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 lckr_jupyterlab_variableinspector 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
```
### Uninstall
```bash
pip uninstall lckr_jupyterlab_variableinspector
```
%package help
Summary: Development documents and examples for lckr-jupyterlab-variableinspector
Provides: python3-lckr-jupyterlab-variableinspector-doc
%description help
# jupyterlab_variableinspector
[](https://mybinder.org/v2/gh/lckr/jupyterlab-variableInspector.git/master?urlpath=lab)
[](https://opensource.org/licenses/)
Jupyterlab extension that shows currently used variables and their values.
Contributions in any form are welcome!
## Features
- Allows inspection of variables for both consoles and notebooks.
- Allows inspection of matrices in a datagrid-viewer. This might not work for large matrices.
- Allows an inline and interactive inspection of Jupyter Widgets.
### Supported Languages
- This extension is currently targets `python` as a main language but also supports the following languages with different levels of feature completeness
- `R`
- `scala` via the [almond kernel](https://github.com/almond-sh/almond)
### How it Works
In order to allow variabale inspection, all content that is displayed first need to be sent from the kernel to the front end.
Therefore, opening large data frames with the datagrid viewer can dramatically increase your occupied memory and *significantly slow down* your browser.
Use at your own risk.
## Requirements
* JupyterLab >= 3.0
### Requirements for `python` functionality
- `pandas` and `numpy` are required to enable matrix inspection.
- `pyspark` for spark support.
- `tensorflow` and `keras` to allow inspection of tf objects.
- `torch` for PyTorch support.
### Requirements for `R` functionality
- The `repr` library.
### Requirements for `ipywidgets` functionality
The variable inspector can also display Jupyter interactive widgets:
The requirements for this functionality are:
- `ipywidgets`
- Support for widgets in JupyterLab: `jupyter labextension install @jupyter-widgets/jupyterlab-manager`
## Install
**NOTE:** The main way to install this extension is via pip as described below.
```bash
pip install lckr-jupyterlab-variableinspector
```
Alternatively, one can install the extension from npmjs via:
```bash
jupyter labextension install @lckr/jupyterlab_variableinspector
```
or via the extension manager that comes built-in with Jupyterlab
## 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 lckr_jupyterlab_variableinspector 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
```
### Uninstall
```bash
pip uninstall lckr_jupyterlab_variableinspector
```
%prep
%autosetup -n lckr-jupyterlab-variableinspector-3.0.9
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-lckr-jupyterlab-variableinspector -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 3.0.9-1
- Package Spec generated
|
