semvec/pypi-packages huggingface dataset:
timechimp 0.0.27
TimeChimp API Python SDK
Requires Python: >=3.6
Keywords: timechimp

# TimeChimp Python SDK
[![Build](https://github.com/Afilnor/TimeChimp/actions/workflows/build_master.yml/badge.svg)](https://github.com/Afilnor/TimeChimp/actions/workflows/build_master.yml)
[![Doc](https://readthedocs.org/projects/timechimp/badge/)](https://timechimp.readthedocs.io/en/latest/)
[![codecov](https://codecov.io/gh/Afilnor/TimeChimp/branch/master/graph/badge.svg?token=O2VKP0JNH7)](https://codecov.io/gh/Afilnor/TimeChimp)
![License](https://img.shields.io/github/license/Afilnor/TimeChimp)
[![PyPI version](https://badge.fury.io/py/timechimp.svg)]()
[![Downloads](https://pepy.tech/badge/timechimp)](https://pepy.tech/project/timechimp)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Discord](https://img.shields.io/discord/873527210840047617?label=discord)](https://discord.gg/FdWvTtpD)

## Description
- SDK to interact with TimeChimp API
- Can return a converted response to JSON and check for errors.
- Log HTTP method, url, params (hide access token)

## How to install
`pip3 install timechimp`

## Package Documentation

https://timechimp.readthedocs.io/en/latest/

## Source structure
- TimeChimp endpoints are defined in `timechimp.api`

## How to use

- access token is retrieved through env variables `TIMECHIMP_ACCESS_TOKEN`
- [TimeChimp API Documentation](https://api.timechimp.com/)

### Get the requests response object
```
import timechimp

response = timechimp.api.users.get_all()
```

### Convert the response object to json
```
import timechimp

users = timechimp.api.users.get_all(to_json=True)
```

## Test
`pytest`
old-norwegian-dictionary 0.9.0
Old Norwegian/Norse Dictionary for Python. From 'Dictionary of the Old Norwegian Language'
Requires Python: >=3.9

# Old Norwegian Dictionary

Old Norwegian/Norse Dictionary for Python. The dictionary consists of 40 000+ Old Norse words with Norwegian translations.

Based on "Dictionary of the Old Norwegian Language".

### Install

`pip install old-norwegian-dictionary`

### Usage

The project provides a getter for the whole dataset. You can use it in your script to populate your own database or otherwise use the data.

Should you want to use the data without this Python library, you might want to check [Old Norwegian Dictionary Builder](https://github.com/stscoundrel/old-norwegian-dictionary-builder)


```python

from old_norwegian_dictionary import get_dictionary

# Whole dictionary of +42 000 entries
dictionary = get_dictionary()

# Dictionaries return entries that consist of headword, part of speech and definition.
print(dictionary[25000].word)           # náðuliga
print(dictionary[25000].part_of_speech) # adv
print(dictionary[25000].definition)     # náðuliga, adv.  1)  i Stilhed, ubemærket; hann bauð at hafa [...and more]

```

Individual words are returned in format of:

```python
{
    word: str
    part_of_speech: str
    definition: str
}
```



### About "Dictionary of the Old Norwegian Language"

_"Ordbog over det gamle norske Sprog"_ dictionary was published in late 1800s by Johan Fritzner. Its is the largest Old Norse to Norwegian dictionary, containing over 40 000 word definitions. While the original dictionary is called dictionary of "old norwegian", it is practically a dictionary of western Old Norse. Technically "Old Norwegian" would be a later stage in the language.
dreye-ext 0.0.1
Dreye: Color models and stimuli for all model organisms

# DrEye: Exploiting Color Space Geometry for Visual Stimulus Design across Animals

## Installation

```
pip install dreye_ext
```

## Hardware module

For the hardware module in dreye the following packages will also have to be installed:

```
pip install seabreeze>=1.0.1
pip install nidaqmx>=0.5.7
```

## Development

This is the code for the old API of dreye. This repository is no longer properly maintained. For the new API go to https://github.com/gucky92/dreye.
gryds 0.0.9
Gryds: a Python package for geometric transformations of images


Gryds enables you to make fast geometric transformations of images.
The supported geometric transformations include translations, rigid transformations (translation + rotation),
similarity transformations (translation + rotation + isotropic scaling),
affine transformations (translation + rotation + arbitrary scaling + shearing),
and deformable transformations (modeled as B-splines). It is also possible to apply the transformations to
coordinates in the image domain, and to inspect the deformation vector field.
PySmeQcd 1.1.0a0
A Python library for the Screened Massive Expansion of QCD
Requires Python: >=3
Keywords: theoretical physics QCD QFT quantum chromodynamics field theory screened massive expansion gluon quark propagator development

# PySmeQcd

**PySmeQcd** is a Python library for making calculations within the framework of
the Screened Massive Expansion of Quantum Chromodynamics.

Currently, PySmeQcd contains functions and routines related to the one-loop gluon,
ghost and quark propagators in any covariant gauge, both in
pure Yang-Mills theory and in full QCD.

## Features

- Compute the one-loop gluon, ghost and quark propagators in an arbitrary covariant gauge
- Plot the dressing functions, propagators, spectral functions, and more
- Find the poles and residues of the gluon and quark propagators
- Other features

## Installation

### Using ```pip```

PySmeQcd is available on PyPI. To install it, run

```console
$ pip install PySmeQcd
```

### From source

To use PySmeQcd from the source code:

1. Download the source code from [GitHub](https://github.com/GComitini/PySmeQcd/releases/download/v1.1.0-alpha/PySmeQcd-1.1.0a0.tar.gz).
  ```console
  $ wget https://github.com/GComitini/PySmeQcd/releases/download/v1.1.0-alpha/PySmeQcd-1.1.0a0.tar.gz
  ```

2. Unpack the archive and `cd` into the `src` directory.
  ```console
  $ tar -xzvf PySmeQcd-1.1.0a0.tar.gz
  $ cd PySmeQcd-1.1.0a0/src
  ```

3. Copy the ```PySmeQcd``` directory into the main directory of your project.
  ```console
  $ cp PySmeQcd <MY_PROJECT>
  ```

## Documentation

PySmeQcd's documentation is available on [Read the Docs](https://pysmeqcd.readthedocs.io).

## Dependencies

PySmeQcd supports Python 3 and depends on the following Python packages:

- matplotlib
- numpy
- scipy

## Authors

PySmeQcd was written by Giorgio Comitini (giorgio.comitini@dfa.unict.it).

## License

PySmeQcd is free software: you can redistribute it and/or modify it under the
terms of the GNU General Public License as published by the Free Software
Foundation, either version 3 of the License, or (at your option) any later
version. See [LICENSE](https://github.com/GComitini/PySmeQcd/blob/master/LICENSE).