semvec/pypi-packages huggingface dataset:
feedinlib-fork-for-SESMG 0.1.0rc4
Connect weather data interfaces with interfaces of wind and pv power models.
License: MIT
Requires Python: >=3.6

========
Overview
========



.. warning::

	This is a fork of the repository https://github.com/oemof/demandlib which is designed exclusively for the use in the context of the SESMG. Please use the original version of the package for other purposes.

Connect weather data interfaces with interfaces of wind and pv power models.

* Free software: MIT license

Installation
============

::

    pip install feedinlib

You can also install the in-development version with::

    pip install https://github.com/oemof/feedinlib/archive/master.zip


Documentation
=============


https://feedinlib.readthedocs.io/


Development
===========

To run all the tests run::

    tox

Note, to combine the coverage data from all the tox environments run:

.. list-table::
    :widths: 10 90
    :stub-columns: 1

    - - Windows
      - ::

            set PYTEST_ADDOPTS=--cov-append
            tox

    - - Other
      - ::

            PYTEST_ADDOPTS=--cov-append tox


Changelog
=========

0.0.0 (2021-06-10)
------------------

* First release on PyPI.
jijbench 0.5.8
Experiment management and benchmark tools for mathematical optimization
License: MIT
Requires Python: >=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.11.*


# JijBench: An Experiment and Benchmark Management Library for Mathematical Optimization

[![PyPI version shields.io](https://img.shields.io/pypi/v/jijbench.svg)](https://pypi.python.org/pypi/jijbench/)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/jijbench.svg)](https://pypi.python.org/pypi/jijbench/)
[![PyPI implementation](https://img.shields.io/pypi/implementation/jijbench.svg)](https://pypi.python.org/pypi/jijbench/)
[![PyPI format](https://img.shields.io/pypi/format/jijbench.svg)](https://pypi.python.org/pypi/jijbench/)
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[![Downloads](https://pepy.tech/badge/jijbench)](https://pepy.tech/project/jijbench)

[![Python Test](https://github.com/Jij-Inc/JijBench/actions/workflows/python-test.yml/badge.svg)](https://github.com/Jij-Inc/JijBench/actions/workflows/python-test.yml)
[![CodeQL](https://github.com/Jij-Inc/JijBench/actions/workflows/github-code-scanning/codeql/badge.svg)](https://github.com/Jij-Inc/JijBench/actions/workflows/github-code-scanning/codeql)
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[![codecov](https://codecov.io/gh/Jij-Inc/JijBench/branch/main/graph/badge.svg?token=pfEmtaSP8Z)](https://codecov.io/gh/Jij-Inc/JijBench)


JijBench is a Python library designed for developers working on research and development or proof-of-concept experiments using mathematical optimization. Positioned similarly to mlflow in the machine learning field, JijBench provides features such as saving optimization results, automatically computing benchmark metrics, and offering visualization tools for the results.

Primarily supporting Ising optimization problems, JijBench plans to extend its support to a wide range of optimization problems, such as MIP solvers, in the future.

## Installation
JijBench can be easily installed using pip.

``` shell
pip install jijbench
```

## Documentation and Support

Documentation: https://jij-inc.github.io/JijBench/

Tutorials will be provided in the future. Stay tuned!


## How to Contribute

See [CONTRIBUITING.md](CONTRIBUTING.md) 

---

Copyright (c) 2023 Jij Inc.
demandlib-fork-for-SESMG 0.1.10
Creating heat and power demand profiles from annual values.
License: MIT
Requires Python: >=3.6

========
Overview
========



.. warning::

	This is a fork of the repository https://github.com/oemof/demandlib which is designed exclusively for the use in the context of the SESMG. Please use the original version of the package for other purposes.

Creating heat and power demand profiles from annual values.

* Free software: MIT license

Installation
============

::

    pip install demandlib

You can also install the in-development version with::

    pip install https://github.com/oemof/demandlib/archive/master.zip


Documentation
=============


https://demandlib.readthedocs.io/


Development
===========

To run all the tests run::

    tox

Note, to combine the coverage data from all the tox environments run:

.. list-table::
    :widths: 10 90
    :stub-columns: 1

    - - Windows
      - ::

            set PYTEST_ADDOPTS=--cov-append
            tox

    - - Other
      - ::

            PYTEST_ADDOPTS=--cov-append tox