semvec/pypi-packages huggingface dataset:
gpte 0.0.5
English Language Assistance Tools(Translation, Polishing) Based on ChatGPT
Requires Python: >=3.7.1
Keywords: ChatGPT,Command Line,English Polishing,English Translation

# GPT for English(GPTE)

English Language Assistance Tools(Translation, Polishing) Based on ChatGPT

## Install

```shell
pip install --upgrade gpte
```

## Usage

```shell
ee --key sk-..... # set your OpenAI apikey
```

### Translation

```shell
ee 今天天气怎么样  # To English
ee -c "How's the weather today?" # to Chinese
```

### Polishing

```shell
ee -p -f README.md # polish a file

ee -p "How's the weather today?"
```

### Ask ChatGPT

```shell
ee -a Who are you # ask ChatGPT directlly
```

## Development

```shell
pip install tox
make test
```
cap-client 1.2.0
CAP client

==========================================
 CERN Analysis Preservation: CAP-Client
==========================================

.. image:: https://img.shields.io/pypi/pyversions/cap-client.svg
   :target: https://pypi.org/pypi/cap-client

.. image:: https://github.com/cernanalysispreservation/cap-client/workflows/CI/badge.svg
   :target: https://github.com/cernanalysispreservation/cap-client/actions

.. image:: https://codecov.io/gh/cernanalysispreservation/cap-client/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/cernanalysispreservation/cap-client

.. image:: https://badges.gitter.im/Join%20Chat.svg
   :target: https://gitter.im/cernanalysispreservation/analysispreservation.cern.ch?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge

.. image:: https://img.shields.io/github/license/cernanalysispreservation/cap-client.svg
   :target: https://github.com/cernanalysispreservation/cap-client/blob/master/LICENSE

About
=====

- ``cap-client`` is a command-line client that researchers could use to talk to CAP server in order to preserve and manage their analyses.

- CAP-client is a Python client library for the `CERN Analysis Preservation (CAP) <https://analysispreservation.cern.ch>`_ API. 

- It is a command-line tool that facilitates preservation of physics data analyses, by allowing analysts to capture and store their analysis resources. The CAP-client is a free and open source project developed at `CERN <https://home.cern>`_.

Installation
============

   ``$ pip install cap-client``

Usage 
=====

The detailed information on how to install and use `cap-client` can be found in `here <https://analysispreservation.cern.ch/docs/cli/>`_.

Useful links
============

- `CERN Analysis Preservation Docs <https://analysispreservation.cern.ch/docs/general/>`_
- `CERN Analysis Preservation API <https://analysispreservation.cern.ch/docs/api/>`_
- `Video tutorial <https://www.youtube.com/watch?v=G4ikK2gv-fw&frags=pl%2Cwn>`_

If you need help or have a question about the CAP-Client, please contact us via our `email <analysis-preservation-support@cern.ch>`_.


Changes
=======

Version 1.0.0 (2018-10-31)
--------------------------
	
- Beta release of CAP Client


Version 0.0.1 (2018-03-01)
--------------------------

- Initial public release.
odc-client 0.2.3
A small CLI tool to help with working with the ODC Server.
Requires Python: >=3.6

# odc-client

A small CLI tool to help with working with the ODC Server used in 2AMD15.

# Installation

The package is available on [PyPi](https://pypi.org/project/odc-client/).

```bash
pip install odc-client
```

# Usage

First initialize the configuration file

```bash
odc-client init
```

This command will prompt you for the required information. Next, you can submit your project using

```bash
odc-client submit
```

It will automatically try to detect whether you have a Java or Python project by checking for a `pom.xml` file.
For more information use the `--help` flag. It also supports uploading the data files.
nb-cell-execution-status 0.0.6
Classic Jupyter notebook cell execution status

# nb\_cell\_execution\_status
Indicators relating to cell execution status


[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/innovationOUtside/nb_cell_execution_status/master)


Use colour to display cell execution status of notebook code cells:

- *white*: not executed
- *light cyan*: awaiting execution
- *green*: successfully executed
- *pink*: failed

![](.images/cell_status.png)


Visual cell execution status indicators are based on the cell exeustion status indicators found in the  [`lc_multi_outputs`](https://github.com/NII-cloud-operation/Jupyter-multi_outputs) python package (via `NII-cloud-operation/Jupyter-multi_outputs`).

Audible feedback for successful and unsuccessful cell completion can also be enabled from the notebook extension configurator menu:

![](.images/cell-execution_config.png)

There is also an optional heartbeat pulse (default period 5s; configurable) that can be used to indicate the continuing run status of long running cells.

The [`jupyter-a11y` extension](https://github.com/ouseful-backup/jupyter-a11y/) also includes audible accessibility support eg for navigation, [kernel activity hum](https://github.com/ouseful-backup/jupyter-a11y/blob/4f5a32f4a09a8fd9e872bf179b728d01ad49b81e/nbreader/static/index.js#L92) etc.

## Install

Install via:

`pip install nb_cell_execution_status`
`pip install --upgrade git+https://github.com/innovationOUtside/nb_cell_execution_status.git`

The extension should be automatically installed and enabled.

If you need to do things manually:


```
jupyter nbextension uninstall cell_execution_status
jupyter nbextension install cell_execution_status --user
jupyter nbextension enable cell_execution_status/index
```
fastapi-lambda-router 0.0.1
A fastapi router for AWS Lambda that fixes a small issue
Requires Python: >=3.7

# Router for running fastapi on Lambda

Running fastapi on lambda can cause some issues that will cause the router to get stuck in an infinite 307 redirect loop. This tiny wrapper for the fastapi APIRouter aims to solve this issue.


# Usage

This router is used the same way as the fastapi APIRouter