semvec/pypi-packages huggingface dataset:
weilai 1.0.0
webUI auto
License: MIT
Requires Python: >=3.6.0


📦 setup.py (for humans)
=======================

This repo exists to provide [an example setup.py] file, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices for `setup.py`, as well as some
commented–out nice–to–haves.

For example, this `setup.py` provides a `$ python setup.py upload`
command, which creates a *universal wheel* (and *sdist*) and uploads
your package to [PyPi] using [Twine], without the need for an annoying
`setup.cfg` file. It also creates/uploads a new git tag, automatically.

In short, `setup.py` files can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)

[Check out the example!][an example setup.py]

Installation
-----

```bash
cd your_project

# Download the setup.py file:
#  download with wget
wget https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py -O setup.py

#  download with curl
curl -O https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py
```

To Do
-----

-   Tests via `$ setup.py test` (if it's concise).

Pull requests are encouraged!

More Resources
--------------

-   [What is setup.py?] on Stack Overflow
-   [Official Python Packaging User Guide](https://packaging.python.org)
-   [The Hitchhiker's Guide to Packaging]
-   [Cookiecutter template for a Python package]

License
-------

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any means.

  [an example setup.py]: https://github.com/navdeep-G/setup.py/blob/master/setup.py
  [PyPi]: https://docs.python.org/3/distutils/packageindex.html
  [Twine]: https://pypi.python.org/pypi/twine
  [image]: https://farm1.staticflickr.com/628/33173824932_58add34581_k_d.jpg
  [What is setup.py?]: https://stackoverflow.com/questions/1471994/what-is-setup-py
  [The Hitchhiker's Guide to Packaging]: https://the-hitchhikers-guide-to-packaging.readthedocs.io/en/latest/creation.html
  [Cookiecutter template for a Python package]: https://github.com/audreyr/cookiecutter-pypackage
darkwood 1.0.8
Darkwood python client
License: MIT

# Darkwood Data Python Client


## Installation

You can install the Darkwood Data Python client from [PyPI](https://pypi.org/project/realpython-reader/):

    python -m pip install darkwood

In order to ensure your shell can discover the command line tool follow the below instructions depending on your operating system

### Linux/macOS
On Linux and macOS you can find the user base binary directory by running `python -m site --user-base` and adding `bin` to the end. For example, this will typically print `~/.local` (with `~` expanded to the absolute path to your home directory) so you’ll need to add `~/.local/bin` to your PATH. You can set your PATH permanently by modifying `~/.profile`.

### Windows
On Windows you can find the user base binary directory by running `python -m site --user-site` and replacing `site-packages` with `Scripts`. For example, this could return `C:\Users\Username\AppData\Roaming\Python36\site-packages` so you would need to set your PATH to include `C:\Users\Username\AppData\Roaming\Python36\Scripts`. You can set your user PATH permanently in the Control Panel. You may need to log out for the PATH changes to take effect.

## Setup
    darkwood-data configure cli
This will result in a file at `~/.darkwood/credentials`.

The client is supported on Python 3.6 and above.

## How to use

The Darkwood client can be used as a command line application or as a python package.
The cli is named `darkwood-data`. 

### Calling the linking api

    darkwood-data entity-mapper --transaction "Amazon Tips*1Z3MJ3KL2 Amzn.com/bi WA"


You can also call the Darkwood API in your own Python code, by importing from the `darkwood` package.
If you have configured the host machine using the `darkwood-data configure cli` command use:

    >>> from darkwood.client.call import credit_card_mapper
    >>> credit_card_mapper(transaction="Amazon Tips*1Z3MJ3KL2 Amzn.com/bi WA")

Additionally, you have the option to explicity pass in credentials

    >>> from darkwood.client.call import credit_card_mapper
    >>> credit_card_mapper(transaction="Amazon Tips*1Z3MJ3KL2 Amzn.com/bi WA", creds=<PASTE-YOUR-DARKWOOD-CREDS>)