semvec/pypi-packages huggingface dataset:
opthub-scorer 0.8.1
OptHub Scorer
License: MIT
Requires Python: >=3.6

# OptHub Scorer
OptHub Scorer is a worker program that scores a solution submitted to OptHub.

## Requirements
- Python >=3.6
- Docker >=1.12

See also [requirements.txt](requirements.txt) for dependent python packages.

## Installation
```
$ pip install opthub-scorer
```

## Usage
### How to start a scorer runner
Login the docker registry where the problem image is stored.
```
$ docker login <registry>
```

Start a scorer.
```
$ opthub-scorer
```

Options
|Parameter|Type|Default|Description|
|-|-|-|-|
|url|path|https://opthub-api.herokuapp.com/v1/graphql|URL to OptHub|
|apikey|str||ApiKey|
|interval|int|2|Polling interval|
|verify/no-verify|bool|True|Verify SSL certificate|
|retries|int|3|Retries to establish HTTPS connection|
|timeout|int|600|Timeout to process a query|
|rm|||Remove containers after exit|
|quiet|||Be quieter|
|verbose|||Be more verbose|
|config|path|opthub-scorer.yml|Configuration file|

### How to make a scorer
1. Write an indicator program in your favorite language.
2. Dockerize it.
3. Push the docker image to DockerHub or somewhere else accessible from OptHub.
   For this purpose, OptHub hosts its own docker private registry.
4. Register the image tag to OptHub.

See also [example](example/).

## Author
Naoki Hamada (hmkz@s101.xrea.com)

## License
MIT
opthub-evaluator 0.8.1
OptHub Evaluator
License: MIT
Requires Python: >=3.6

# OptHub Evaluator
OptHub Evaluator is a worker program that evaluates a solution submitted to OptHub.

## Requirements
- Python >=3.6
- Docker >=1.12

See also [requirements.txt](requirements.txt) for dependent python packages.

## Installation
```
$ pip install opthub-evaluator
```

## Usage
### How to start an evaluator
Login the docker registry where the problem image is stored.
```
$ docker login <registry>
```

Start an evaluator.
```
$ opthub-evaluator
```

Options
|Parameter|Type|Default|Description|
|-|-|-|-|
|url|path|https://opthub-api.herokuapp.com/v1/graphql|URL to OptHub|
|apikey|str||ApiKey|
|interval|int|2|Polling interval|
|verify/no-verify|bool|True|Verify SSL certificate|
|retries|int|3|Retries to establish HTTPS connection|
|timeout|int|600|Timeout to process a query|
|rm|||Remove containers after exit|
|quiet|||Be quieter|
|verbose|||Be more verbose|
|config|path|opthub-evaluator.yml|Configuration file|

### How to make an problem image
1. Write a problem program in your favorite language.
2. Dockerize it.
3. Push the docker image to DockerHub or somewhere else accessible from OptHub.
   For this purpose, OptHub hosts its own docker private registry.
4. Register the image tag to OptHub.

See also [example](example/).

## Author
Naoki Hamada (hmkz@s101.xrea.com)

## License
MIT
gold33423307 0.0.2
Simple library to calculate golden ratio
License: MIT
Keywords: golden_ratio,golden

# Golden Ratio Calculation
Python simple library to calculate Golden Ratio (phi)

## Installation
```shell
pip install gold33423307
```

## Usage
Basic Usage:
```python
from gold33423307 import GoldenRatio

phi = GoldenRatio.calculatePhi()
print(f"Golden Ratio: {phi}")
```
gold33423315 0.0.2
A Python library leveraging the OMDb API to fetch movie details based on user-provided titles. It also offers plot translation from English to Indonesian using googletrans.
License: MIT
Keywords: UAs,COY


# SCH_Movie
This project is a Python library that accesses the OMDb API to retrieve information about movies based on user-input titles. Additionally, the library includes a feature to translate movie plots from English to Indonesian using googletrans.

By utilizing this project, users can easily search for information about their favorite movies and obtain a summary of the plot in the Indonesian language.




## API 
Python Basic API wrapper
```http
  http://www.omdbapi.com/
```

## Installation

Install my-project with npm

```bash
$ pip install schmovie
```
```bash
$ pip install googletrans
```

## Usage

Basic Usage :

```python
from schmovie.movie import Omdb

omdb = Omdb("YOUR_API_KEY")
movie_title = input("Search Movie : ")
result = omdb.search_movie(movie_title)
    
print(f"Judul: {result['Title']}")
print(f"Tahun: {result['Year']}")
print(f"Rating: {result['imdbRating']}")
print(f"Plot: {result['Plot']}")
```


## Authors

- [@codewithwan](https://github.com/codewithwan)
honeydew 0.1.13
Collection of connectors for ETL
License: MIT

# Honeydew
This library is a collection of database and GCP connector for ETL

## Supported connectors and helper functions
* MySQL
* GCP
* SSH
* Utilities
* Notification

## Installation
```
pip install honeydew
```
<br />

## Repository
Source code: 
You can find the documentation [here](https://honeydew-lib.github.io/)!