semvec/pypi-packages huggingface dataset:
abstract-builder 1.0.1.3
Преобразование конспектов в HTML-документы
Requires Python: >=3.8

# Abstract Builder

## Установка
```
pip install abstract-builder
```

## Использование
Abstract builder запускается одной командой:
```
abstract-builder [path]
```
где __[path]__ - путь к каталогу, в котором находятся необработанные файлы. В случае,
если нужно обработать файлы в текущем каталоге, можно выполнить команду:
```
abstract-builder $(pwd)
```

##
Собрать
```
python setup.py sdist bdist_wheel
```

Загрузка дистрибутивных файлов
```
twine upload --repository testpypi dist/*
twine upload --repository pypi dist/*
```
rock-avatars 0.0.2
Rockflow Avatars generator

# user-avatars

rock-avatars

## 测试

```
pytest --cov=rock_avatars/
```

## 上传安装包

```
python setup.py sdist build
```

```
twine upload dist/*
```

## 数据文件目录结构

```
tree ./data
./data
├── background.png
├── cloth
│   └── cloth.png
├── eye
│   └── eyes.png
├── hair
│   ├── hair.png
│   └── hair2.png
├── horn
│   └── horn.png
└── mouth
    ├── mouth.png
    └── mouth2.png

5 directories, 8 files
```

## 用法

安装依赖

```
pip install rock-avatars
```

```
import rock_avatars as rf

avatar = rf.Avatar(
    "./data",
    "background.png",
    [
        "mouth",
        "horn",
        "hair",
        "eye",
        "cloth",
    ],
)
avatar.generate()
```

# Development

Activate Virtual Environment

```
make
source venv/bin/activate
```

To install all of the dependencies necessary for development, run:

```
pip install -e '.[develop]'
```

To run all of the tests, run:

```
python setup.py test
```
ramagopr-myproject 0.0.1
A small example package
Requires Python: >=3.6


# Make sure you have upgraded version of pip
Windows
```
py -m pip install --upgrade pip
```

Linux/MAC OS
```
python3 -m pip install --upgrade pip
```

## Create a project with the following structure
```
packaging_tutorial/
├── LICENSE
├── pyproject.toml
├── README.md
├── setup.cfg
├── src/
│   └── example_package/
│       ├── __init__.py
│       └── example.py
└── tests/
touch LICENSE
touch pyproject.toml
touch setup.cfg
mkdir src/mypackage
touch src/mypackage/__init__.py
touch src/mypackage/main.py
mkdir tests
```

## pyproject.toml 

This file tells tools like pip and build how to create your project

```
[build-system]
requires = [
    "setuptools>=42",
    "wheel"
]
build-backend = "setuptools.build_meta"
```
build-system.requires gives a list of packages that are needed to build your package. Listing something here will only make it available during the build, not after it is installed.

build-system.build-backend is the name of Python object that will be used to perform the build. If you were to use a different build system, such as flit or poetry, those would go here, and the configuration details would be completely different than the setuptools configuration described below.


# Setup.cfg setup
Using setup.cfg is a best practice, but you could have a dynamic setup file using setup.py

```
[metadata]
name = example-pkg-YOUR-USERNAME-HERE
version = 0.0.1
author = Example Author
author_email = author@example.com
description = A small example package
long_description = file: README.md
long_description_content_type = text/markdown
url = https://github.com/pypa/sampleproject
project_urls =
    Bug Tracker = https://github.com/pypa/sampleproject/issues
classifiers =
    Programming Language :: Python :: 3
    License :: OSI Approved :: MIT License
    Operating System :: OS Independent

[options]
package_dir =
    = src
packages = find:
python_requires = >=3.6

[options.packages.find]
where = src

```
# Running the build
### Make sure your build tool is up to date
Windows
```
py -m pip install --upgrade build
```
Linux/MAC OS
```
python3 -m pip install --upgrade build
```


### Create the build
```
py -m build
```













### References
https://packaging.python.org/tutorials/packaging-projects/
artengine 0.1.7
Agent FUD Art Engine
Requires Python: >=3.6
Keywords: python,python3,Art Engine,NFT Generator,NFT,Image generator

# agentfud-art-engine
Art engine which helps you to generate thousands of beautiful images for the NFT market.

## Features

- Configurable layers
- Configurable rarity weights
- Information about your project
- Metadata and image generation
- Excluding traits from metadata

## Installation

### via `pip`

All the artengine projects could be in a single directory

```bash
mkdir artengine_projects
cd artengine_projects
```

Creating and activating virtual environment

```bash
virtualenv env
source ./env/bin/activate
```

Install agentfud-art-engine

```bash
pip install artengine
```

Create first project in my_project directory

```bash
artengine init my_project
```

Enter into the directory, start configure and build

```bash
cd my_project
```

Now we can edit **instance_config.py**

If you want to fully test it, remove **layers** folder, then clone a prepared layers folder like this

```bash
rm -rf layers
```

```bash
git clone git@github.com:AgentFUD/layers.git
```

Run **artengine info**, then follow the tutorials.

## Development install

```
git clone https://github.com/AgentFUDagentfud-art-engine.git

cd agentfud-art-engine

virtualenv env

source ./env/bin/activate

pip install --editable .
```
type artengine, you should see something very similar

```
(env) agentfud@Legion-Y540:/tmp/agentfud-art-engine$ artengine
Usage: artengine [OPTIONS] COMMAND [ARGS]...

  Welcome to Agent FUD ArtEngine! An all-in-one cli tool for NFT artists!

Options:
  --help  Show this message and exit.

Commands:
  bake          Bakes images and metadata files
  info          Gathers and prints out information about your project
  init          Initializes a new Art Engine project
  rarityconfig  Generates rarity config json file
  run           Runs any python script
```
pips3 0.4.2
A handy package for creating a simple pypi repo in S3 compliant object storage.
Requires Python: !=2.*, >=3.6
Keywords: pips3,s3,pip,pypi

# pips3

Python Boilerplate contains all the boilerplate you need to create a Python package.

## Features

* TODO

### Credits

This package was created with [Cookiecutter(https://github.com/audreyr/cookiecutter) and the [annalise.ai cookiecutter](https://github.com/AnnaliseAI/pythonpackagecookie) project template.