semvec/pypi-packages huggingface dataset:
aiogmaps 0.0.2
Asyncio client library for Google Maps API Web Services
License: MIT
Keywords: asyncio,aiohttp

# aiogmaps
[![Build Status](https://travis-ci.org/hzlmn/aiogmaps.svg?branch=master)](https://travis-ci.org/hzlmn/aiogmaps)

Asyncio client library for Google Maps API Web Services

## Requirements

- [googlemaps](https://github.com/googlemaps/google-maps-services-python) >= 3.0


## Getting Started

```sh
pip install aiogmaps
```

## Usage

### API Key

```python
import asyncio

from aiogmaps import Client

async def main(loop):
    api_key = 'xxx'
    async with Client(api_key, loop=loop) as client:
        resp = await client.place(place_id='ChIJN1t_tDeuEmsRUsoyG83frY4')
        print(resp)


if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main(loop))

```

### Client ID & Secret

```python
import asyncio

from aiogmaps import Client

async def main(loop):
    client_id = 'xxx'
    client_secret = 'xxx'
    async with Client(client_id=client_id, client_secret=client_secret, loop=loop) as client:
        resp = await client.place(place_id='ChIJN1t_tDeuEmsRUsoyG83frY4')
        print(resp)


if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main(loop))

```

## Documentation

This library works as a wrapper around official googlemaps library.

For detailed API reference
- https://developers.google.com/maps/documentation/
- https://googlemaps.github.io/google-maps-services-python/docs/
pandoc-plantuml-latex 0.2.1
Pandoc filter for PlantUML code blocks
License: MIT

# pandoc-plantuml-filter

Pandoc filter which converts PlantUML code blocks to PlantUML images.

````
```plantuml
Alice -> Bob: Authentication Request
Bob --> Alice: Authentication Response

Alice -> Bob: Another authentication Request
Alice <-- Bob: another authentication Response
```
````

## Usage

Install it with pip:

```
pip install pandoc-plantuml-latex
```

And use it like any other pandoc filter:

```
pandoc tests/sample.md -o sample.pdf --filter pandoc-plantuml
```

The PlantUML binary must be in your `$PATH` or can be set with the
`PLANTUML_BIN` environment variable.

## Differences from [pandoc-plantuml-filter](https://github.com/timofurrer/pandoc-plantuml-filter)

- merged pull request [Raw latex support](https://github.com/timofurrer/pandoc-plantuml-filter/pull/4)  
  see [tests/](tests/)

- also generate vector images for latex `beamer` template

- added debugging environment variable `DEBUG=1`
macdict 0.1.4
CLI and library to look up dictionary in macOS.
License: MIT
Keywords: Dictionary.app

macdict
=======

*macdict* is a command line utility and library to look up dictionary in macOS.

It is built on the `Dictionary Services`_ (``CoreServices.framework``)
and ctypes_. So we have a pure Python implementation without any compile-time
dependency.


Installation
------------

::

    $ pip install macdict

or with pipsi_ for using its CLI only::

    $ pipsi install macdict


CLI Usage
---------

::

    $ macdict-lookup apple
    apple | BrE ˈap(ə)l, AmE ˈæpəl | noun (fruit) ...


API Usage
---------

.. code-block:: python

   from macdict import lookup_word

   definition = lookup_word(u'apple')
   print(definition)


Contributing
------------

If you want to report bugs or request features, please feel free to open issues
or create pull requests on GitHub_.


.. _Dictionary Services: https://developer.apple.com/library/content/documentation/UserExperience/Conceptual/DictionaryServicesProgGuide/
.. _ctypes: https://docs.python.org/dev/library/ctypes.html
.. _pipsi: https://github.com/mitsuhiko/pipsi
.. _GitHub: https://github.com/tonyseek/macdict/issues
.. |Build Status| image:: https://img.shields.io/travis/tonyseek/macdict.svg?style=flat
   :target: https://travis-ci.org/tonyseek/macdict
   :alt: Build Status
.. |Coverage Status| image:: https://img.shields.io/coveralls/tonyseek/macdict.svg?style=flat
   :target: https://coveralls.io/r/tonyseek/macdict
   :alt: Coverage Status
.. |PyPI Version| image:: https://img.shields.io/pypi/v/macdict.svg?style=flat
   :target: https://pypi.python.org/pypi/macdict
   :alt: PyPI Version