semvec/pypi-packages huggingface dataset:
wwtp-configuration 0.3.1
Class hierarchy to represent a wastewater treatment plant's configuration.
Requires Python: >=3.9
Keywords: wwtp-configuration

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WWTP Configuration
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.. image::
   https://github.com/we3lab/wwtp-configuration/workflows/Build%20Main/badge.svg
   :height: 30
   :target: https://github.com/we3lab/wwtp-configuration/actions
   :alt: Build Status

.. image::
   https://github.com/we3lab/wwtp-configuration/workflows/Documentation/badge.svg
   :height: 30
   :target: https://we3lab.github.io/wwtp-configuration
   :alt: Documentation

.. image::
   https://codecov.io/gh/we3lab/wwtp-configuration/branch/main/graph/badge.svg
   :height: 30
   :target: https://codecov.io/gh/we3lab/wwtp-configuration
   :alt: Code Coverage

A class hierarchy designed to represent a wastewater treatment plant's configuration.

Useful Commands
===============

1. ``pip install -e .``

  This will install your package in editable mode.

2. ``pytest wwtp_configuration/tests --cov=wwtp_configuration --cov-report=html``

  Produces an HTML test coverage report for the entire project which can
  be found at ``htmlcov/index.html``.

3. ``docs/make html``

  This will generate an HTML version of the documentation which can be found
  at ``_build/html/index.html``.

4. ``flake8 wwtp_configuration --count --verbose --show-source --statistics``

  This will lint the code and share all the style errors it finds.

5. ``black wwtp_configuration``

  This will reformat the code according to strict style guidelines.

Legal Documents
===============

- `LICENSE <https://github.com/we3lab/wwtp-configuration/blob/main/LICENSE/>`_
- `CONTRIBUTING <https://github.com/we3lab/wwtp-configuration/blob/main/CONTRIBUTING.rst/>`_
diffgram 0.15.0
SDK for Diffgram


# SDK for Diffgram

This is the SDK for [Diffgram](https://github.com/diffgram/diffgram) <br> and
[Diffgram.com](https://diffgram.com/) <br>

## SDK Install

#### [Full Documentation](https://diffgram.readme.io/docs)

### Quickstart Install SDK
`pip install diffgram`

On linux
`pip3 install diffgram`

[Credentials Guide](https://diffgram.readme.io/reference) <br>
[Get Credentials from Diffgram.com](https://diffgram.com/) (or your Private Deploy)

The starting point for most useful work is to get a project:
```
from diffgram import Project

project = Project(host = "https://diffgram.com",
		  project_string_id = "replace_with_project_string",
		  client_id = "replace_with_client_id",
		  client_secret = "replace_with_client_secret")
```

Replace `host` with your URL for Open Core installs.

* [Tasks Introduction](https://diffgram.readme.io/docs/tasks-introduction)
* [Import Introduction](https://diffgram.readme.io/docs/importing-your-data)
* [Updating Existing Instances](https://diffgram.readme.io/docs/importing-instances-walkthrough)
* [Pre-Label Example Video](https://youtu.be/55Hofp1H7yM)
* [Compatibility](https://diffgram.readme.io/docs/compatibility-will-diffgram-work-with-my-system)


#### Beta
Note the API/SDK is in beta and is undergoing rapid improvement. There may be breaking changes.
Please see the [API docs](https://diffgram.readme.io/reference) for the latest canonical reference 
and be sure to upgrade to latest ie: `pip install diffgram --upgrade`. We will attempt to keep the SDK up to date with the API.

[Help articles for Diffgram.com](https://diffgram.readme.io/)  See below for some examples.

Requires Python >=3.5

The default install through pip will install dependencies
for local prediction (tensorflow opencv) as listed in `requirements.txt`.
The only requirement needed for majority of functions is `requests`. 
If you are looking for a minimal size install and already have requests use
the `--no-dependencies` flag ie `pip install diffgram --no-dependencies`