semvec/pypi-packages huggingface dataset:
pystmark 0.5.3
A Python library for the Postmark API (http://developer.postmarkapp.com/).
License: MIT
Keywords: postmark postmarkapp email

# pystmark

[![PyPI version](https://badge.fury.io/py/pystmark.png)](http://badge.fury.io/py/pystmark)
[![Build Status](https://travis-ci.org/xsleonard/pystmark.png)](https://travis-ci.org/xsleonard/pystmark)
[![Coverage Status](https://coveralls.io/repos/xsleonard/pystmark/badge.png)](https://coveralls.io/r/xsleonard/pystmark)


[Postmark API](http://developer.postmarkapp.com/) library for python 2.7, 3.6 and pypy.
Built on top of the [requests](http://docs.python-requests.org/en/latest/) library.

## Web Framework Integration

* [Flask-Pystmark](https://github.com/xsleonard/flask-pystmark)

## Documentation

The full Sphinx-compiled documentation is available here: [https://readthedocs.org/docs/pystmark/en/latest/](https://readthedocs.org/docs/pystmark/en/latest/)

## Example Usage

```python
from pystmark import (
    Message,
    send,
    send_with_template,
    send_batch,
    send_batch_with_templates,
    UnauthorizedError
)

API_KEY = 'my_api_key'
SENDER = 'me@example.com'

# Send a single message
message = Message(
    sender=SENDER,
    to='you@example.com',
    subject='Hi',
    text='A message',
    tag='greeting'
)

response = send(message, api_key=API_KEY)

# Send a template message
model = {
    'user_name': 'John Smith',
    'company': {
      'name': 'ACME'
    }

message = Message(
    sender=SENDER,
    to='you@example.com',
    template_id=11111,
    template_model=model,
    tag='welcome',
)

response = send_with_template(message, api_key=API_KEY)

# Send multiple messages
messages = [
    Message(
        sender=SENDER,
        to='you@example.com',
        subject='Hi',
        text='A message',
        tag='greeting',
        message_stream='broadcasts',
    )
]

response = send_batch(messages, api_key=API_KEY)

# Send multiple messages with templates
messages = [
    Message(
        sender=SENDER,
        to='you@example.com',
        template_id=11111,
        template_model=model,
        tag='greeting',
        message_stream='broadcasts',
    )
]

response = send_batch_with_templates(messages, api_key=API_KEY)

# Check API response error
try:
    response.raise_for_status()
except UnauthorizedError:
    print 'Use your real API key'

# Check for errors in each message when sending batch emails:
for m in response.messages:
    if m.error_code > 0:
        print m.message
```

## Contribution

1. Fork this repo
2. Make your changes and write a test for them
3. Add yourself to the [AUTHORS.md](./AUTHORS.md) file and submit a pull request

Please run the tests with `./setup.py test --with-integration`, with at least python2.7,
before you make a pull request. Requirements for running the tests are in `tests/requirements.txt`.
The other versions will be handled by [travis-ci](https://travis-ci.org/).

The pep8 tests may fail if using pypy due to [this bug](https://bugs.pypy.org/issue1207),
so that test is disabled if pypy is detected.

## Copyright and License

pystmark is licensed under the MIT license. See the [LICENSE](./LICENSE) file for full details.
aru-metadata-parser 0.1.0
Parse metadata from ARUs including the AudioMoth
License: MIT
Requires Python: >=3.8

# aru_metadata_parser
Parse audio file metadata from common ARUs including the AudioMoth

This package aims to provide support for parsing metadata from common ARU (autonomous recording unit) audio files. Currently, AudioMoth metadata from firmware versions up to 0.8.1 are supported. 

Please use Issues to report failures in metadata parsing, and to request parsing for other metadata formats. 
r
## Installation:

The package is available on PyPI and can be installed with PIP: 

`pip install aru_metadata_parser`

## Contribution:

We use Poetry for development, with `black` formatting and `pytest` testing. Contributions to the code base are welcome. 

## License and attribution:

This package is provided under the MIT Open-source license.

Suggested citation:

```
Lapp, Syunkova, and Kitzes, 2023. ARU Metadata Parser v0.1.0. github.com/kitzeslab/aru_metadata_parser. 
```