semvec/pypi-packages huggingface dataset:
ffnToAO3 0.1.3
Transferring ffn works to AO3
Requires Python: >=3.6

# **FFnet to AO3** 

This programs transfers any story from Fanfiction.net to AO3. Please use this only for stories that you have claims to.


# Usage

### Install:
  `pip install ffnToAO3`
  
### Dependencies:
  `pip install MechanicalSoup` 
  (https://github.com/MechanicalSoup/MechanicalSoup)
  
  `pip install cloudscraper`
  (https://github.com/VeNoMouS/cloudscraper)
  
  `easy_install BeautifulSoup4` or `pip install bs4`

### Example (in command line)

```
python

>>> from ffnToAO3 import uploadAO3

>>> uploadAO3.upload()
```

### Example Program Display

```
>>> from ffnToAO3 import uploadAO3
>>> uploadAO3.upload()
Heading to AO3...
Enter your AO3 username: Clostone
Enter your AO3 password: 12345678
Logged in successfully...
Heading to ffnet...
Your ffnet username (case sensitive): CCS
Getting list of works...
	 if chapters are not displaying, restart the app.
1. Rabbit Dreams
2. Hawks
3. Jane's Day Off
4. Ferris Wheel Accident
5. 1982: Summer, a river


Select work from 1 to 5 to move to AO3:

2
Story to be transfered -----
story title: Hawks
story link: http://fanfiction.net/s/1727272238/1/Hawks
----------------------------
Getting metadata...
getting a total of 4 chapters...
Getting metadata...
transferring metadata and story content...
Chapter 1 posted.
New work url: https://archiveofourown.org/works/6461772348
Chapter 2 posted.
Chapter 3 posted.
Chapter 4 posted.
Done.

```


# Notes

The program will require you to log into AO3 (but not fanfiction.net)
While uploading, it will also download a copy of your story to your local drive.

This is a console-based program, which means there's no display and all input/logging will occur in console.

If error occurs (e.g. did not locate all chapters), please rerun the program. 

# Credits

metadata scraping for ffn is based on https://github.com/smilli/fanfiction's scraping method.
threedfit 0.0.5
A package for 3D fitting by gradient optimisation
Requires Python: >=3.7

# 3D Fit

[![](https://badgen.net/badge/Docs/Surge)](http://sphinx-bootstrap.surge.sh)
[![](https://badgen.net/pypi/v/threedfit?label=PyPI)](https://pypi.org/project/threedfit)
[![](https://anaconda.org/tvsujal/threedfit/badges/version.svg)](https://anaconda.org/tvsujal/threedfit)
[![](https://img.shields.io/docker/v/tvsujal/threedfit?style=flat-square&label=DockerHub)](https://hub.docker.com/r/tvsujal/threedfit)

[3D Fit](http://sphinx-bootstrap.surge.sh) is a sample library for fitting 3D
mesh models onto 2D masks and is written in Python 3.7 primarily with [PyTorch
3D](https://pytorch3d.org).

## Installation

### From Anadonda

```bash
conda install threedfit -c tvsujal
```

### With `pip`

#### From the PyPI registry

```bash
pip install threedfit
```

#### From GitHub

```bash
pip install git+'https://github.com/sujaltv/threedfit'
```

### Building from the source

```bash
> git clone https://github.com/sujaltv/threedfit
> cd threedfit

# as a pip package
> pip install .

# as a conda package
> cd conda
> conda-build . # generates a distribution
> conda install <distribution_path>
```

### From Docker Hub as a `docker` container

```bash
docker pull tvsujal/threedfit
docker run tvsujal/threedfit --help # see CLI APIs
```

## Usage

## Importing in your code

```python
from threedfit.distributions.normal import Gauss

g = Gauss(5., 10.)
print(g[5.])
```

## Throught the CLI

```bash
threedfit --help
```

Refer to the [documentation](http://sphinx-bootstrap.surge.sh) for more on
source and CLI APIs.

## Others

* Get [set up](docs/SETUP.md) for modifying the source.
* [Report](report/README.md)
* [Documentation](documentation/README.md)
brt3 2.0.10
aownierewe
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

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tiangolo-markdown-include 0.7.0
This is an extension to Python-Markdown which provides an "include" function, similar to that found in LaTeX (and also the C pre-processor and Fortran). I originally wrote it for my FORD Fortran auto-documentation generator.
Keywords: Markdown,typesetting,include,plugin,extension

Markdown-Include
================

This is an extension to
`Python-Markdown <https://pythonhosted.org/Markdown/>`__ which provides
an "include" function, similar to that found in LaTeX (and also the C
pre-processor and Fortran). I originally wrote it for my
`FORD <https://pypi.python.org/pypi/FORD>`__ Fortran auto-documentation
generator.

Installation
------------

This module can now be installed using ``pip``.

::

    pip install markdown-include

Usage
-----

This module can be used in a program in the following way:

::

    import markdown
    html = markdown.markdown(source, extensions=[markdown_include.include'])

The syntax for use within your Markdown files is ``{!filename!}``. This
statement will be replaced by the contents of ``filename``.
Markdown-Include will work recursively, so any included files within
``filename`` wil also be included. This replacement is done prior to any
other Markdown processing, so any Markdown syntax that you want can be used
within your included files. Note that this is a change from the previous 
version. It was felt that this syntax was less likely to conflict with any code
fragments present in the Markdown.

By default, all file-names are evaluated relative to the location from
which Markdown is being called. If you would like to change the
directory relative to which paths are evaluated, then this can be done
by specifying the extension setting ``base_path``.

::

    import markdown
    from markdown_include.include import MarkdownInclude

    # Markdown Extensions
    markdown_include = MarkdownInclude(
        configs={'base_path':'/srv/content/', 'encoding': 'iso-8859-1'}
    )
    html = markdown.markdown(source, extensions=[markdown_include])