semvec/pypi-packages huggingface dataset:
pyabif 0.3.0
A Python ABIF reader
Requires Python: <4,>=3.6
Keywords: abif reader

pyABIF
======

A Python ABIF (Applied Biosystems Genetic Analysis Data File Format) reader,
based on 07/2006 specification.

ABIF is a directory of items, where every item is identified by unique *tag*
and *number*.

Interface
---------

|ABIF| is a class with attributes corresponding to name/number items::

    >>> from pyabif import ABIF

    >>> abif = ABIF('abif.fsa')
    >>> abif.User1
    joe

    >>> abif.DATA1
    ...

..., or for 1 numbered items this also works::

    >>> abif.DATA
    ...

For items described in 07/2006 specification, there is available description::

    >>> help(ABIF.DATA)
    Help on property:

        Channel 1 raw data

..., or::

    >>> abif.describe('DATA')
    'Channel 1 raw data'


Console script
--------------

pyABIF can be used as a console script:

.. code-block:: console

    $ pyabif abif.fsa
    Converted to txt

    $ ls abif
    abif.fsa
    abif.fsa.csv.zip

For usage help:

.. code-block:: console

    $ pyabif --help
    Usage: pyabif [OPTIONS] [PATTERNS]...

    Converts PATTERNS from ABIF to txt format

    PATTERNS are glob filenames of ABIF files to convert.

    Options:
    -f, --force                     Force conversion even if resulting file
                                    already exists  [default: False]

    -b, --batch                     Combine data files in batches  [default:
                                    False]

    -d, --digits INTEGER            Number of digits for migration times
                                    [default: 3]

    -u, --migration-units [seconds|minutes]
                                    Migration units  [default: minutes]
    --help                          Show this message and exit.


.. |ABIF| replace:: ``ABIF``
equinox-gould29 0.0.5
Equinox is a powerful and scalable Python library for calculating inter-annotator agreement scores for a variety of Natural Language Processing and Machine Learning tasks.
Requires Python: >=3.6

# EQUINOX
<!-- [![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.org/project/equinox-gould29/) -->
<!-- [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/ambv/black) -->
<br>

<img src="./assets/logo.PNG" alt="drawing" width="200"/>

<br>

Equinox is a powerful and scalable Python library for calculating inter-annotator agreement scores for a variety of Natural Language Processing and Machine Learning tasks.

For example:
 - Fleiss's Kappa: A statistical measure for assessing the reliability of agreement between a fixed number of raters when assigning categorical ratings to a number of items or classifying items.

Many advanced ML tasks require annotating enormous amounts of data, which is a tedious and time-consuming task. Add on the time required to wrangle the data and compute inter-annotator agreement scores, and *poof*, weeks have gone by. We aim to answer the call for quicker annotation metrics Whether you are an academic, ML Engineer, or Citizen Data Scientist, Equinos is straightforward to install and our goal is to allow you to get to your NLP insights faster.

More funcionality is currently being built, and will be deployed upon completion. Stay tuned!

 # Installation
 Equinox can easily be installed via `pip`:
 ```
 pip install equinox-gould29
 ```

# How to Use Equinox
Equinox is very simple to use. See our documentation for more information. Below is an example to compute Fleiss's Kappa for > 2 annotators.
```
#Import
from equinox import score

#Define Input
entities = ["yes", "no"]
num_annotators = 10
df = pd.read_csv("annotated_data.csv") #See below

k = score.fleiss_kappa(entities, num_annotators, df)
## 0.53
```

Where:
 - `entities` A list of the names of entities annotated. These entity names must match the column names in `df`.
 - `num_annotators`: The number of annotators in the dataset.
 - `df`: Pandas DataFrame consiting of the number of annotations per entity (columns) for a finite number of documents (rows):

 ![Table](./assets/table.png)

 # Interpretting Fleiss's Kappa Coefficients
 ![Interpret](./assets/interpretation.png)

 # Dependencies
 Equinox requires the following:
 - [Pandas](https://pandas.pydata.org/)

 # Running Tests
 Tests are written in the ``tests`` directory and processed using `PyTest <https://docs.pytest.org/en/latest/>`__.

 # Python Version
 Equinox supports `Python 3.6+ <https://python3statement.org/>`__ and, due to the use of unicode variable names/identifiers, is not compatible with Python 2.x. Given the small dependencies, Equinox may work on older versions of Python but this is beyond the scope of our support and we strongly recommend that you upgrade to the most recent version of Python.
pyasyncserver 0.1.5
Modular asynchronous application service
Requires Python: >=3.8

# pyasyncserver
Modular asynchronous application service

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![PyPI](https://img.shields.io/pypi/v/pyasyncserver)](https://pypi.org/project/pyasyncserver)
[![Python](https://img.shields.io/pypi/pyversions/pyasyncserver)](https://pypi.org/project/pyasyncserver)
[![Coverage Status](https://coveralls.io/repos/github/agratoth/pyasyncserver/badge.svg?branch=master)](https://coveralls.io/github/agratoth/pyasyncserver?branch=master)
TextIntoImage 0.0.2
Hide text into image
Keywords: python,steganography,text image,text coder

# Text into image

Under construction!  Currently experimenting and planning!

Developed by Hayk Sardaryan (c) 2021

## Examples of How To Use (Buggy Alpha Version)


```python
from TextIntoImage import Text2Image

T = Text2Image()
```
create image and text file ex. "img.jpg" and "abc.txt" 
```python
T.code('abc.txt', 'img.jpg')
```

You will receive: s_img.png file, it's a coded image

For decode you can use
```python
T.decode('s_im.png',secret_filename='secret.txt', max_char=2500)
```
You will receive: secret.txt file, it's a secret text