semvec/pypi-packages huggingface dataset:
pygada-runtime 0.5.1a0
Python runtime for gada nodes
Requires Python: >=3.8

# pygada-runtime

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pygada-runtime)
[![Python package](https://img.shields.io/github/workflow/status/gadalang/pygada-runtime/Python%20package)](https://github.com/gadalang/pygada-runtime/actions/workflows/python-package.yml)
[![Documentation Status](https://readthedocs.org/projects/pygada-runtime/badge/?version=latest)](https://pygada-runtime.readthedocs.io/en/latest/?badge=latest)
[![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
[![Codecov](https://img.shields.io/codecov/c/gh/gadalang/pygada-runtime?token=4CSJTL1ZML)](https://codecov.io/gh/gadalang/pygada-runtime)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

`pygada-runtime` is a package for creating and running [Gada](https://github.com/gadalang/gada) nodes in Python.

## Install

Using pip:

```bash
pip install pygada-runtime
```

## Documentation

Build the doc with:

```bash
make html
```

You can find the latest documentation on [pygada-runtime.readthedocs.io](https://pygada-runtime.readthedocs.io/).

## Testing

The `test` directory contains many tests that you can run with:

```python
tox .
```

## License

Licensed under the [MIT](LICENSE) License.
image-processing-package1 0.1.2
Criação de pacotes de processamento de imagens em Python
Requires Python: >=3.8

# package_name

Description. 
The package image_processing is used to:
Processing
	- Histogram matching
	- Structural similarity
Utils:
	- Read Image
	- Save Image
	_ Plot image
	- Plot result
	- Plot histogram

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install image_processing-package
```
S

## Author
Jucicaral Pires
## License
[MIT](https://choosealicense.com/licenses/mit/)
googlesearcherror 0.0.2
A package to search error in python code
Requires Python: >=3.6

This project is for people who new to python and cannot understand what's wrong with their code, 

if your code raise an Exception, the code will automatically search for a fix on google and print a link on the terminal

## Installation

```pip install googlesearcherror```

## Usage

put this code at the top of your code

```python
from googlesearcherror import googlesearcherror
googlesearcherror.searcherror()
```

Example:


Input:
```python
from googlesearcherror import googlesearcherror
googlesearcherror.searcherror()

print(0/0)
```

Output:
```
 File "test.py", line 4, in <module>
    print(0/0)
ZeroDivisionError: division by zero

-->  https://www.google.com/search?q=python+ZeroDivisionError++division+by+zero+site:stackoverflow.com
```
gym-legacy-toytext 0.0.5
Legacy Toytext Environments from OpenAI Gym
Requires Python: >=3.6

# gym-algorithmic
This repository contains the legacy toytext environments previously present in [OpenAI Gym](https://github.com/openai/gym) prior to Gym version 0.20.0.  

## Documentation

## Usage
```
$ pip install gym-toytext

import gym
import gym_toytext

gym.make("Roulette-v0")
```

## Citation
deephaven-example-app 0.3.0
Deephaven Example Application
Keywords: deephaven,streaming,websockets,coinbase

# deephaven-example-app

This is an example [Deephaven](https://github.com/deephaven/deephaven-core) application
built using the [deephaven-server](https://pypi.org/project/deephaven-server/) PyPi package.

It demonstrates connecting to a real-time data source, performing simple operations on that data,
and presenting the data to the user in the [web UI](https://github.com/deephaven/web-client-ui).

The [Coinbase websocket exchange feed](https://docs.cloud.coinbase.com/exchange/docs/websocket-overview)
was chosen as a data source for this example as it's simple to get up and running. It is not meant to
have exhaustive coverage.


## Requirements
 
 * Python >= 3.7
 * Java >= 11

A [virtual environment](https://docs.python.org/3/tutorial/venv.html) is recommended.


## Quickstart

curl one-liner:

```shell
curl -fsSL https://raw.github.com/deephaven-examples/deephaven-server-pypi-app/main/deephaven-example-app.sh | bash
```

wget one-liner:

```shell
wget https://raw.github.com/deephaven-examples/deephaven-server-pypi-app/main/deephaven-example-app.sh -O - | bash
```

Or more explicitly:

```shell
export JAVA_HOME=/path/to/java_home
source /path/to/venv/bin/activate

pip install deephaven-example-app

python -m deephaven_example_app
```

## Development


```shell
export JAVA_HOME=/path/to/java_home
source /path/to/dev-venv/bin/activate

pip install -e .

python -m deephaven_example_app
```