semvec/pypi-packages huggingface dataset:
dslclib 0.3.0
対話システムライブコンペティションに使用できるPythonライブラリ
Requires Python: >=3.10

# dslc6
対話システムライブコンペティションに使用できるPythonライブラリ

リファレンスは[https://yuta0306.github.io/dslclib/](https://yuta0306.github.io/dslclib/)にあります．

このライブラリに関する要望や質問は，yubo1336[at]lr.pi.titech.ac.jpまでお願いします．

## Changelog

### 2023/06/30

- `v0.1.2`をリリースしました．
- [https://yuta0306.github.io/dslclib/](https://yuta0306.github.io/dslclib/)にリファレンスを公開しました．
- `FaceRecognitinClient`→`FaceRecognitionClient`とタイポを修正しました．

### 2023/06/30

- `v0.1.3`をリリースしました．
- タイポを修正しました。

### 2023/07/06

- `v0.2.0`をリリースしました。
- EmotionType.fearをEmotionType.Fearに修正しました。
- FaceRecognitionServerの更新に伴い、face_recognition.pyにおけるモジュールをアップデートしました。
- OutputFor...とクライアントの出力をデータクラスで定義しました。
    - `OutputForFaceRecognition.emotion`と`OutputForFaceRecognition["emotion"]`の二つのアクセス方法を可能にしました。
- 型ヒントの一部をstrからLiteralに変更しました。

### 2023/09/28

- `v0.2.1`をリリースしました
- 稀に音声合成ができなくなるバグが発生したため，軽微な修正を加えました
finam-plot 0.2.0
FINAM live plot components.
Requires Python: >=3.8

# finam-plot

Plotting components for FINAM using the matplotlib library.

See finam-plot [documentation](https://finam.pages.ufz.de/finam-plot).

## License

LGPLv3, Copyright © 2021-2023, the FINAM developers from Helmholtz-Zentrum für Umweltforschung GmbH - UFZ. All rights reserved.
oasisis 0.0.3
This is a stable version of the OASIS activity-based framework. This repository includes the simulation code, based on the Python API of the CPLEX solver.
Requires Python: >=3.8
Keywords: python,disdrometer

# OASIS v1.0.0

[![DOI](https://zenodo.org/badge/685457042.svg)](https://zenodo.org/badge/latestdoi/685457042)

## Description

This is a stable version of the OASIS activity-based framework. This repository includes the simulation code, based on the Python API of the CPLEX solver.

For more details, you can find the technical reports in the **Literature** folder, and the full documentation [here](https://oasis-abm.readthedocs.io/en/latest/).

## Installation guide   

We recommend creating a new environment using the provided requirements file to install the correct packages. 
**NB: You need a valid CPLEX user license to use the solver, which can be obtained [here](https://www.ibm.com/academic/topic/data-science).**

## Tutorial 

An example of how to run the simulator is provided in the ``demo`` notebooks. Your main function should be added in the ``runner`` script, which you can run by typing the following command:
``python runner.py``

## Citation

If you found this repository useful, you can acknowledge the authors by citing:

* Pougala, J., Hillel, T., and Bierlaire M. (2023) *OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions*, Transportation Research Part C: Emerging Technologies, vol. 155, p. 104291, DOI: [https://doi.org/10.1016/j.trc.2023.104291](https://doi.org/10.1016/j.trc.2023.104291)
PyPushBullet 0.2.7
A simple library to push notification using PushBullet. You need a pushbullet API key for this

# PyPushBullet
[![PyPI Version](https://img.shields.io/pypi/v/PyPushBullet.svg)](https://pypi.org/project/PyPushBullet/)
[![License](https://img.shields.io/pypi/l/PyPushBullet.svg)](https://github.com/ballavamsi/PyPushBullet/blob/main/LICENSE)

**PyPushBullet** is a Python library for interacting with the PushBullet API, allowing you to send notifications, links, and files to your devices easily.
## Installation
You can install **PyPushBullet** via pip:
```bash
pip install PyPushBullet
```
## Usage
### Initializing the PushBullet Client
Before using the library, you need to initialize the PushBullet client with your API key. You can either provide the API key explicitly or set it as an environment ariable.

```python
    from PyPushBullet.client import PushBullet
    # Initialize with API key provided explicitly
    api_key = 'YOUR_PUSHBULLET_API_KEY'
    pb = PushBullet(api_key)
    # Alternatively, set the API key as an environment variable
    # export PUSHBULLET_API_KEY=YOUR_PUSHBULLET_API_KEY
    # Then, initialize without providing the API key
    pb = PushBullet()
```
### Sending Notifications
Once the client is initialized, you can use it to send notifications to your devices:
```python
    title = 'Hello'
    body = 'This is a test notification'
    pb.send_notification(title, body)
```
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- This library is not affiliated with or endorsed by PushBullet. It is an independent open-source project.
- Feel free to contribute to this project by opening issues and pull requests.
## Author
- BALLA VAMSI SRINIVAS
- GitHub: [ballavamsi](https://github.com/ballavamsi)