semvec/pypi-packages huggingface dataset:
Consulta-Correios 1.0.1
API para consulta de endereços e CEPs  utilizando o site dos Correios
Keywords: python endereco cep correios busca

# Consulta Correios

API for querying addresses and zip codes using the Correios website (Brazil postal system)


# Requirements

- Python 3.5+
- beautifulsoup4
- requests
- unidecode


## Installation

Consulta Correios can be installed using pip:

    $ pip install Consulta-Correios

If you want to run the latest version of the code, you can install from git:

    $ pip install -U git+git://github.com/arthurfortes/consulta_correios.git


## Quick Start and Guide

This API allows querying both zip codes and address through the same call. See the example commands below:

```python
>>> import consulta_correios

>>> address = consulta_correios.busca_cep('Av. Júlio Prestes')
>>> print(address)
{'address': 'Avenida Julio Prestes', 'neighborhood': 'Taquaral', 'city/state': 'Campinas/SP', 'zipcode': '13076-001'}
```

```python
>>> import consulta_correios

>>> address = consulta_correios.busca_cep('13076-001')
>>> print(address)
{'address': 'Avenida Julio Prestes', 'neighborhood': 'Taquaral', 'city/state': 'Campinas/SP', 'zipcode': '13076-001'}
```


## Contributions and issues

To help the project with contributions follow the steps:

- Fork Consulta Correios

- Make your alterations and commit

- Create a topic branch - git checkout -b my_branch

- Push to your branch - git push origin my_branch

- Create a Pull Request from your branch.

- You just contributed to the Consulta Correios project!

For bugs or feedback use this link: https://github.com/arthurfortes/consulta_correios/issues


## License (MIT)

    © 2020. Consulta Correios All Rights Reserved

    Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
    documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
    rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to
    permit persons to whom the Software is furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be included in all copies or substantial portions of
    the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO
    THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
    TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
    IN THE SOFTWARE.
avionix-airflow 0.2.4
A package for deploying airflow to kubernetes with included monitoring (grafana and elasticsearch integration)
Requires Python: >=3.6.1
Keywords: kuberenetes,helm,docker,infrastructure,airflow,grafana,elasticsearch,filebeat

Avionix Airflow
===============

.. image:: https://github.com/zbrookle/avionix_airflow/workflows/CI/badge.svg?branch=master
    :target: https://github.com/zbrookle/avionix_airflow/actions?query=workflow

Why are there so many guides on how to set up `Apache Airflow`_ when the code could
just be given to you?!

.. _Apache Airflow: https://airflow.apache.org
 
Welcome to ``Avionix Airflow``, an out of the box solution to installing airflow on
Kubernetes_.

.. _Kubernetes: https://kubernetes.io
 
Currently supported platforms are Minikube_ and `AWS EKS`_ (managed nodegroups only),
pull requests adding support for GKE and AKS are welcome.

.. _Minikube: https://minikube.sigs.k8s.io/docs/
.. _AWS EKS: https://aws.amazon.com/eks/
 
Overview of Avionix Airflow Capabilities
----------------------------------------

``Avionix airflow`` provides the following out of the box solutions for airflow

1. Airflow Webserver and Scheduler with configured RBAC for the KubernetesExecutor
2. Airflow metric collection (statsd -> telegraf -> elasticsearch)
3. Airflow log collection (stdout -> filebeat -> elasticsearch)
4. Metric and log visualization (elasticsearch & postgres -> grafana)

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

.. code-block::

    pip install avionix_airflow


Requirements
------------

- kubectl_
- helm_

.. _helm: https://helm.sh
.. _kubectl: https://kubernetes.io/docs/tasks/tools/install-kubectl/

Configuration
-------------

``Avionix airflow`` is configured by using Options objects, there are currently 4
different objects:
 
1. AirflowOptions
2. PostgresOptions
3. MonitoringOptions
4. CloudOptions (Specified using LocalOptions or AwsOptions)
5. RedisOptions (Only for use with CeleryExecutor, ***not recommended***)

These options are then passed into the function *get_chart_builder*, which can be
used to retrieve an avionix_ chart builder object. For instruction on how to use the
builder object, see avionix_

.. _avionix: https://github.com/zbrookle/avionix

FAQ
---

- How do I change the grafana dashboard?
    - You can change the dashboard by setting the MonitoringOptions role to "Admin"
    
Documentation
-------------

Additional documentation can be found `here <https://avionix-airflow.readthedocs.io/en/latest/>`__
mancho 0.0.3
A musical transcription tool
Requires Python: >=3.6
Keywords: music musical transcription tool

# Mancho: A musical transcription assistant.

This is a tool to make musical transcriptions.
Documentation is WIP.

## Installation

Mancho depends on [rubberband](https://breakfastquay.com/rubberband/), portaudio and PyGtk3. Make sure these dependencies are installed.

On Ubuntu 20.04 LTS you can run:
```bash
sudo apt install python3-pip python3-pyaudio python3-gi rubberband-cli
```

Afterwards:
```bash
python3 -m pip install mancho
```

## Quickstart
Start mancho by running:
```bash
python3 -m mancho
```

1. Load an audio file using the open dialog.
2. You can scroll and zoom using the arrow keys.
3. You can select a region to loop using the mouse.
4. Set the playback using the slider and click play (or press `spacebar`)
5. By pressing `a`, you can set markers. They can be removed using `backspace` and `del`
6. `s` selects the region between the markers.
7. `shift` and arrow keys extend the selection, `alt` and arrow keys shorten it. `ctrl` and arrow keys move the selection.
typelint 0.0.1
List typehints found in Python source code
Requires Python: >=3.5

# typelint

`typelint` is a program that detects and reports typehints in
Python source code.

List type hints:

    python -m typelint mypython.py

Quiet mode (number is reported as `$?`):

    python -m typelint --quiet mypython.py

In either mode the number of typehints found is reported as the
program's exit status.
Counts above 99 are reported as 99
(so as to avoid overflowing the exit status value,
and to leave some room for reporting errors).

## Exit status

Because the count is reported at the exit status and
the shell's convention is to treat 0 as true (success),
it is convenient to use `typelint` as a test in shell scripts:

    if python typelint.py mypython.py
    then
        echo "no typehints found"
    else
        echo "typehints found"
    fi

## END