semvec/pypi-packages huggingface dataset:
pk-dogsApi 0.0.3
Extrae un listado de razas de perros de la Api Publica de Dogs
License: MIT

# Instructivo de instalaciÃ³n
    Paquete para listar todas las Razas de Perros disponibles desde una API pÃºblica.

###### 1. Iniciar entorno virtual
`py -m venv env Ã³ python -m venv env`

###### 2. Activar el entorno virtual 
`source env/Scripts/activate`

###### 3. Instalar el paquete
`pip install pk_dogsApi`

###### 4. Ejecuta el interprete de python para testear que se haya instalado correctamente
```
pyhton
from package_name import dogsList
dogsList()
```

##### 5. Tambien puedes ejecutar el siguiente comando para ejecutar el paquete
`pydogs`
tinyshar 0.10.3
simple library and utility for creation of shell archives
License: MIT
Requires Python: >=3.6, <4

## Build Status
Travis CI  | AppVeyor | CircleCI
---------- | -------- | --------
[![linux test status](https://img.shields.io/travis/kshpytsya/tinyshar.svg?label=Linux)](https://travis-ci.org/kshpytsya/tinyshar) | [![windows test status](https://img.shields.io/appveyor/ci/kshpytsya/tinyshar.svg?label=Windows&logo=appveyor)](https://ci.appveyor.com/project/kshpytsya/tinyshar) | [![macOS test status](https://img.shields.io/circleci/project/github/kshpytsya/tinyshar.svg?label=macOS)](https://circleci.com/gh/kshpytsya/tinyshar)

# tinyshar
simple Python library and utility for creation of shell archives

Documentation is available [here](https://tinyshar-docs.surge.sh) -- work in progress.
avemedi-lib 0.1.6
This library help in getting a "average value of numbers list" and "get median (for ordered, unordered list of numbers and even or odd list values)". Enjoy.
License: MIT
Requires Python: >=3.6

This library help in getting a "average value of numbers list" 
and "get median (for ordered, unordered list of numbers and even or odd list values)". 

Enjoy.

Github rep - `https://github.com/zelenchuk/avemedi_lib`



Installing
============

    pip install avemedi_lib

Usage
=====

    from avemedi_lib.functions import average, get_median, get_median_custom

    test_even_array = [12, 32, 23, 43, 14, 44, 123, 15]
    test_odd_array = [1, 2, 3, 4, 5, 6, 7, 8, 9]


    # Getting average value of list items
    print(average(test_even_array))  # 38.25

    # Getting median value for ordered or unordered numbers list
    print(get_median(test_even_array))  # 27.5
    print(get_median(test_odd_array))  # 27.5

    # You can use your own sorted and your count functions
    a = sorted(test_even_array)
    n = len(a)

    print(get_median_custom(a, n))  # 27.5
poetry-template 0.1.4
A minimal, strictly structured Python project template.
License: MIT
Requires Python: >=3.8,<4.0

## Python Project Template

```
After creating a new git repository copy over:
* docs
* poetry_template
* tests
* pyproject.toml
* README.md

Go through the project and change the placeholder values. pyproject.toml contains the list of the most important values present throughout the project.

Finally, delete this note.
```

```
# Note: Install Python 3
# Update pip and install virtualenv (dependency encapsulator) and black (linter; IDE needs to be restarted)

# Note: install Poetry for Linux
$: curl -sSL https://install.python-poetry.org | python3 -

# Note: install Poetry for Windows
$: (Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | py -

$: curl -sSL https://install.python-poetry.org | python3 - --uninstall
```

```
# Note: `.toml` project name and package have to match (poetry-template; poetry_template)
$: poetry install  # install all dependencies
```

### dist

```
$: pip install dist/poetry_template-0.1.4-py3-none.any.whl

$: poetry-template
```

### docs

```
$: poetry shell
$: cd docs
# Note: review source/conf.py and source/index.rst
$: make html
# Note: see docs in docs/build/apidocs/index.html
```

### poetry_template

```
$: poetry run poetry-template --help
$: poetry run python ./poetry_template/runner.py --help

$: poetry run python ./poetry_template/runner.py -x 2 -y -1 -tuple A B C -list D -list E -list F -move rock
```

### tests

```
$: poetry run pytest --durations=0
```

```
$: poetry run pytest --cov=poetry_template --cov-report=html tests
# Note: see coverage report in htmlcov/index.html
# Note: exclude directories from coverage report through .coveragerc
```

### poetry.lock

Dependencies, Python version and the virtual environment are managed by `Poetry`.

```
$: poetry search Package-Name
$: poetry add [-D] Package-Name[==Package-Version]
```

### pyproject.toml

Define project entry point and metadata.


### Linters

```
$: poetry run black .
```

### MyPy

```
$: poetry run mypy ./poetry_template ./tests
```

### cProfile

```
$: poetry run python ./poetry_template/profiler.py
```

### Build and publish

```
$: poetry build

# Note: get the token from your PiPy account
$: poetry config pypi-token.pypi PyPI-Api-Access-Token
```

```
$: poetry publish --build
```

```
https://pypi.org/project/poetry-template/
```
tfmiss 0.17.1
Missing layers, ops & etc. for TensorFlow
License: MIT
Keywords: tensorflow layers ops

# tfmiss
The missing OPs, layer & etc. for TensorFlow

## Development
### Environment
Install all [dependencies including python headers](https://www.tensorflow.org/install/install_sources).
Do not use `pyenv` on MacOS X, otherwise tests mostly likely will fail.

### Build PIP package manually
You can build the pip package with Bazel v0.25.3:
```bash
# GPU support
export TF_NEED_CUDA="1"

# Set these if the below defaults are different on your system
export TF_CUDA_VERSION="11.2"
export TF_CUDNN_VERSION="8"
export CUDA_TOOLKIT_PATH="/usr/local/cuda"
export CUDNN_INSTALL_PATH="/usr/lib/x86_64-linux-gnu"

./configure.py
bazel clean --expunge
bazel test --test_output=errors //tfmiss/...
bazel build build_pip_pkg
bazel-bin/build_pip_pkg wheels
```

### Build release with Linux docker container
```bash
# Requires about 4Gb of RAM allocated to Docker
DOCKER_BUILDKIT=1 docker build -t miss --output type=local,dest=wheels --build-arg PY_VERSION=3.8 ./
```

### Install and test PIP package
Once the pip package has been built, you can install it with:
```bash
pip install wheels/*.whl
```

Now you can test out the pip package:
```bash
cd /
python -c "import tensorflow as tf;import tfmiss as tfm;print(tfm.text.zero_digits('123').numpy())"
```

You should see the op zeroed out all nonzero digits in string "123":
```bash
000
```
cappy-cli 1.1.7
A cli tool to add captions to images.
License: MIT

## Cappy
A simple, fast and powerful CLI tool to add captions to Images. Supports GIFs too!

## Feautures
- Adds caption to static images like `.jpeg`/`.jpg`/`.png`.
- Adds caption to animated GIFs.
- Uploads generated images to Imgur to prevent storage usage.
- Takes care of the image size and aspect ratio.

## Prerequisites
- Imgur client ID and secret. You can generate one for free [here](https://api.imgur.com/oauth2/addclient).
- You will be asked for the ID and Secret on first time usage of cappy.

## Usage
Install the package from pypi.
```bash
pip install cappy-cli
```
Run the command.
```bash
cappy 
```
Keep following the prompts to add caption.