semvec/pypi-packages huggingface dataset:
t2c 0.0.6
A Python Library that converts human readable text to Cron Expression.
License: MIT
Keywords: text cron text langchain gpt npl

## A Python Library that converts human readable text to Cron Expression
## 可以将人类语言转换为cron表达式的Python库

### Installation
``` bash
pip install t2c
```

### usage
``` python
import t2c
# normal
cron_reg_zh = t2c.Text2Cron().cron('今天下午两点钟')
cron_reg_en = t2c.Text2Cron(language='en').cron('two minutes later')
# use openai api key
cron_gpt_zh = t2c.Text2Cron().gpt()
cron_gpt_en = t2c.Text2Cron(usegpt=True, api_key='openai_api_key', language='en').gpt('two minutes later')
# print the cron expressions
# current time: 2023/5/15 00:25
print(cron_reg_zh, cron_reg_en) # output: 0 14 15 5 ? , 27 0 15 5 ?
print(cron_gpt_zh, cron_gpt_en) # output: 0 1 1 */3 * , 0 1 1 */3 * 😭
```
pycallrail 0.9.0.2
An unofficial Python wrapper for the CallRail API
License: MIT
Requires Python: >=3.8.0

pycallrail
==========

.. image:: https://img.shields.io/pypi/v/pycallrail.svg
   :target: https://pypi.python.org/pypi/pycallrail
   :alt: PyPI version info
.. image:: https://img.shields.io/pypi/pyversions/pycallrail.svg
   :target: https://pypi.python.org/pypi/pycallrail.py
   :alt: PyPI supported Python versions
.. image:: https://github.com/predictive-data-lab/pycallrail/actions/workflows/test.yml/badge.svg
   :target: https://github.com/predictive-data-lab/pycallrail/commits/main
   :alt: GitHub Actions build status
.. image:: https://codecov.io/gh/predictive-data-lab/pycallrail/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/predictive-data-lab/pycallrail
   :alt: Codecov coverage report
.. image:: https://readthedocs.org/projects/pycallrail/badge/?version=latest
   :target: https://pycallrail.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status

Python wrapper for the CallRail API.

Description
-----------

This library provides a Python intefrace for interacting with the Callrail API.
It allows for CRUD operations on objects and resources within your CallRail account and to integrate
with your own applications.

Installation
------------
Install from PyPI using pip, a package manager for Python.

.. code:: sh

   # Linux/macOS
   python3 -m pip install pycallrail

   # Windows
   py -3 -m pip install pycallrail

Requirements & Dependencies
---------------------------
- Python 3.6+
- requests
- ujson
- python-dateutil
- typeguard

Usage
-----

.. code:: py

   import pycallrail.callrail as clrl

   # init the api client

   api = clrl.CallRail('your_api_key')

   # list accounts associated with your api key
   accounts = api.list_accounts(# optional kwargs, more info on supported kwargs at endpoint docs)

   # list calls associated with your account
   calls = accounts[0].list_calls(# optional kwargs, more info on supported kwargs at endpoint docs)

   print(calls[0].id) # prints the id of the first call in the list

   # >>> 123456789

Links & Contact
---------------

- `Documentation <https://pycallrail.readthedocs.io/en/latest/>`_
- `Questions <mailto:engineering@predictivedatalab.com>`_
corpus-pax 0.1.27
Using Github API (to pull individuals, orgs, and article content), setup a local sqlite database, syncing images to Cloudflare.
License: MIT
Requires Python: >=3.11,<4.0

# corpus-pax

![Github CI](https://github.com/justmars/corpus-pax/actions/workflows/main.yml/badge.svg)

Using Github API (to pull individuals, orgs, and article content), setup a local sqlite database, syncing images to Cloudflarel utilized in the [LawSQL dataset](https://lawsql.com).

## Documentation

See [documentation](https://justmars.github.io/corpus-pax).

## Development

Checkout code, create a new virtual environment:

```sh
poetry add corpus-pax # python -m pip install corpus-pax
poetry update # install dependencies
poetry shell
```

Run tests:

```sh
pytest
```