semvec/pypi-packages huggingface dataset:
PyLBFGS-mirror 0.2.0.14
LBFGS and OWL-QN optimization algorithms

PyLBFGS
=======

.. image:: https://travis-ci.org/qingquansong/pylbfgs.svg?branch=master
    :target: https://travis-ci.org/dqingquansong/pylbfgs


[This is a mirrored package for PyLBFGS pacakge authored by Lars Buitinck, Forest Gregg at (https://github.com/dedupeio/pylbfgs.git) in order to make flexible local changes.]

The original package is a Python wrapper around Naoaki Okazaki (chokkan)'s liblbfgs_ library
of quasi-Newton optimization routines (limited memory BFGS and OWL-QN).

This package aims to provide a cleaner interface to the LBFGS
algorithm than is currently available in SciPy_, and to provide the
OWL-QN algorithm to Python users.

Part of the Dedupe.io_ cloud service and open source toolset for de-duplicating and finding fuzzy matches in your data.


Installing
==========
Type::

    pip install pylbfgs-mirror


Hacking
=======
Type::

    pip install "pip>=10"
    pip install -r requirements.txt
    pip install -e .

To run the test suite::

    pytest tests


Authors
=======
PyLBFGS was written by Lars Buitinck.

Alexis Mignon submitted a patch for error handling.

.. _Dedupe.io: https://dedupe.io/

.. _Cython: http://cython.org/

.. _liblbfgs: http://chokkan.org/software/liblbfgs/

.. _pytest: http://doc.pytest.org/en/latest/

.. _NumPy: http://numpy.scipy.org/

.. _SciPy: http://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.fmin_l_bfgs_b.html

.. _setuptools: http://pypi.python.org/pypi/setuptools
mogic-obj-util 0.0.6
A sample Python project
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

# A sample Python project

![Python Logo](https://www.python.org/static/community_logos/python-logo.png "Sample inline image")

A sample project that exists as an aid to the [Python Packaging User
Guide][packaging guide]'s [Tutorial on Packaging and Distributing
Projects][distribution tutorial].

This project does not aim to cover best practices for Python project
development as a whole. For example, it does not provide guidance or tool
recommendations for version control, documentation, or testing.

[The source for this project is available here][src].

Most of the configuration for a Python project is done in the `setup.py` file,
an example of which is included in this project. You should edit this file
accordingly to adapt this sample project to your needs.

----

This is the README file for the project.

The file should use UTF-8 encoding and can be written using
[reStructuredText][rst] or [markdown][md use] with the appropriate [key set][md
use]. It will be used to generate the project webpage on PyPI and will be
displayed as the project homepage on common code-hosting services, and should be
written for that purpose.

Typical contents for this file would include an overview of the project, basic
usage examples, etc. Generally, including the project changelog in here is not a
good idea, although a simple “What's New” section for the most recent version
may be appropriate.

[packaging guide]: https://packaging.python.org
[distribution tutorial]: https://packaging.python.org/tutorials/packaging-projects/
[src]: https://github.com/pypa/sampleproject
[rst]: http://docutils.sourceforge.net/rst.html
[md]: https://tools.ietf.org/html/rfc7764#section-3.5 "CommonMark variant"
[md use]: https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
cleverbot-scrapper 0.1.6
Free cleverbot without headless browser
Requires Python: >=3.4

# Cleverbot Scrapper Lib

Simple free cleverbot library that doesn't require running a heavy ram wasting headless web browser to actually chat with the bot, all that it uses is the requests module. Also supports simultaneously different sessions, which means, different parallel conversations.

## Try it


Install and test with:
```bash
pip3 install cleverbot-scrapper
python3 -m "cleverbot"
```
The last command will start a live session with the cleverbot(for testing purposes).


## Example
```python
from cleverbot import cleverbot
# With context and session
# An ongoing conversation with the first question as "How are you?"
print("How are you?")
print(cleverbot(input(">>"), ["hi.", "How are you?"], "How are you?"))
while True:
    print(cleverbot(input(">>"), session="How are you?"))

```
m2c 0.4.7
m2c

## m2c

**workflow**

0. pip install m2c
1. mkdir **your-project-name**
2. cd **your-project-name**
3. m2c init
4. m2c build
5. m2c run
6. m2c debug
7. m2c unittest
8. m2c pack

**coding**

0. desgin apimodel.txt
1. m2c apicode
2. desgin objmodel.txt
3. m2c objcode
4. coding logic with api/obj...
5. coding unittest...
6. m2c unittest
7. m2c pack
8. done
magcoilcalc 0.7.3
Axisymmetric circular current loops field calculator
Requires Python: >=3.5

# magcoilcalc - Axisymmetric circular current loops (coils) magnetic field calculator
## Introduction
Highly uniform magnetic field with minimal lateral field gradient is required for the generation and preservation of the spin-polarized state of <sup>3</sup>He and <sup>129</sup>Xe gasses and other noble gas species with non-zero nuclear spin. `magcoilcalc` is designed to be useful in the design, simulation and optimization of magnet systems used to generate an uniform magnetic field intended to support such systems.
## Installation
`pip install magcoilcalc`. Requires Python >= 3.4,  `numpy` and `matplotlib`.
## Limitations
Before you get your hopes up, `magcoilcalc` is only for circular axisymmetric current loops with no support for non-unity relative permeability. This geometry is versatile and useful, but this package won't get you very far for problems other than building spin-polarizer magnets. For proper 2D EM FEM software check [FEMM](https://www.femm.info/wiki/HomePage) out. `magcoilcalc` is useful for quickly mapping out a large parameter space, or for getting a quick answer typing on one hand while holding that magnet wire mid-winding with the other.

Support for infinitely thin cylindrical current sheets are also being worked on. You can spawn one with `magcoilcalc.CurrentSheet` with the usual parameters, but these are not vectorized so can be slow on a large mesh. 

## Mu-metal shielding
`magcoilcalc` in incapable of dealing with non-unity relative permeability. Simulate mu-metal shields in `FEMM` upon your finished design in `magcoilcalc`.

## Usage
Users are encouraged to refer to cookbook examples for usage examples with line-by-line comments.

## Found a bug?
The author still discovers yet another misconception in his understanding of elementary electromagnetism once in a while. If you find something not quite right, you are probably right - open an issue or drop me an email!
mikrotikhtml 0.0.1
Simple script that exports Mikrotik config in HTML so that it can be uploaded to a Markdown supported documentation system or just share as a web page.
Requires Python: >=3.6

# Mikrotik HTML Dumper

---

This is a small project written since my team worked with mikrotiks and we sometimes needed to present audits of the configuration for upper manangement in a quick and easy to read format.

## Installing

You can use pip to install this script

```pip install mikrtotikhtml```

## Requirements

You'll need to setup a .env file for the username and password. You can do so by running the following command

```mikrotikthml create-env-file -c```

It will then ask you to enter the username and password which will be stored in a .env file for you from the current working directory of the script.


# Usage

---

To use the script, simply run the following

```mikrotikhtml html-dump```

It will then ask you to enter the IP or FQDN of the firewall and dump out HTML code so you can easily upload to markup language supported documentation systems, or simply share it as a web file.

# License

---

MIT
SkewSat 0.0.1.3
Pacote para consultas de cálculos para apontamentos de antenas parabólicas.
Requires Python: >=3.8

SkewSat
===========

### Pacote em Python para consultas de cálculos para apontamentos de parabólicas. Satellite Finder | SatFinder | Transponder satelite | is a tool which will help you to set up satellite dish. It will give you azimuth, elevation and LNB tilt for your location (based on GPS)

## Instalação
    pip install SkewSat

## Exemplo de Uso
#### Importando pacote
    from SkewSat import SkewSat

### Istancia da classe
    rx_lat = -7.0838699 # Latitude do receptor (antena)
    rx_log = -41.4668289 # Longitude do receptor (antena)
    tx_log = -70 # Longitude do Transmissor  (satélite)
    
    sk = SkewSat.SkewSat( rx_lat, rx_log, tx_log )

### Longitude de todos os satélites geoestacionários
    from satellites import satellites
    print(satellites)

### Azimute (verdadeiro)
    azimuth = sk.getAzimuth()

### Elevação da antena
    elevation = sk.getElevation()

### Elevação de antena Offset
    elevation_offset = sk.convertElevationToOffset(elevation)

### Inclinação LNBF (graus)
    skew_LNBF = sk.getSkewLNBF()

### Inclinação LNBF (horas)
    skew_LNBF_h = sk.skewLnbfDegreesToHours(skew_LNBF)

### Exemplo
    print( f'Satélite: {sk._tx_log}°')
    print( f'Azimute verdadeiro: {azimuth:.1f}°')
    print( f'Elevação: {elevation:.1f}°')
    print( f'Elevação (offset): {elevation_offset:.1f}°')
    print( f'Inclinação do LNBF: {skew_LNBF:.1f}°')
    print( f'Inclinação do LNBF (h): ~ {skew_LNBF_h:.0f}h')
#### Saída
    >>> Satélite: -70°
    >>> Azimute verdadeiro: 282.8°
    >>> Elevação: 55.8°
    >>> Elevação (offset): 35.3°
    >>> Inclinação do LNBF: -75.4°
    >>> Inclinação do LNBF (h): ~ 9h
### Criando mapa
    sk.open_map()
    

## Exemplo de saída
![Imagem da renderização do html de saída.](https://raw.githubusercontent.com/1bertojunior/SkewSat/main/img/exSkewSatMap.png)