semvec/pypi-packages huggingface dataset:
macwifi 0.0.5
Macwifi is a Python module that helps you to manage the WiFi on macOS.
Requires Python: >=3.6

# macwifi

Macwifi is a Python module that helps you to manage the WiFi on macOS.

## Installation

```
pip install macwifi
```
## Example

Connect to a WiFi network:

```python
import macwifi

macwifi.connect("MyWiFi", "password")
```

Done!

## Usage

List all available WiFi networks.

`list()`

Get the information about the connected WiFi.

`get_wifi_info()`

Get the SSID of the connected WiFi.

`get_ssid()`

Get the signal strength of the connected WiFi.

`get_rssi()`

Connect to a WiFi network.

`connect(ssid, password)`

Turn on the WiFi.

`turn_on()`

Turn off the WiFi.

`turn_off()`
melonpy 1.7
一个开源的 Python 编程工具箱
Keywords: melonpy

# 项目介绍

简介: 一个开源的 Python 编程工具箱

# 目录

| 项目         | <center>说明</center>             |
| :-:          | :-                               |
| layDB        | 轻量型的非关系型数据库             |
| layDB_AES    | layDB 的加密版                    |
| MongoDB ORM  | 简洁优雅的 MongoDB ORM            |
| mysql ORM    | 简洁优雅的 mysql ORM              |
| Lsdict       | 可设置 key 的有效期的字典          |
| DFA          | 一种常见的关键词检测算法           |
| Web          | 基于 tornado 开发的 web 框架      |
| AES-CBC-256  | 对 AES-CBC-256 加密算法的二次封装  |
| localtool    | 一些小功能                        |
| pyppeteers   | 对 pyppeteer 的二次封装           |
df-graph-construction 0.1.0
**Dialog Flow Graph Construction** is python module add-on for [Dialog Flow Framework](https://github.com/deepmipt/dialog_flow_framework), a free and open-source software stack for creating chatbots, released under the terms of Apache License 2.0.
Requires Python: >=3.6, <4
Keywords: chatbots,Dialog Flow Graph Construction


# Dialog Flow Graph Construction

**Dialog Flow Graph Construction** is python module add-on for [Dialog Flow Framework](https://github.com/deepmipt/dialog_flow_framework), a free and open-source software stack for creating chatbots, released under the terms of Apache License 2.0.


[Dialog Flow Graph Construction](../..) allows you to automatically generate dff scripts from example dialogues.
[![Codestyle](../../../workflows/codestyle/badge.svg)](../../../actions)
[![Tests](../../../workflows/test_coverage/badge.svg)](../../../actions)
[![License Apache 2.0](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)
![Python 3.8, 3.9](https://img.shields.io/badge/python-3.8%20%7C%203.9-green.svg)

<!-- TODO: uncomment one of these to add badges to your project description -->
<!-- [![Documentation Status](https://df_graph_construction.readthedocs.io/en/stable/?badge=stable)]() See readthedocs.io -->
<!-- [![Coverage Status]()]() See coveralls.io -->
<!-- [![PyPI](https://img.shields.io/pypi/v/df_graph_construction)](https://pypi.org/project/df_graph_construction/) -->
<!-- [![Downloads](https://pepy.tech/badge/df_graph_construction)](https://pepy.tech/project/df_graph_construction) -->

# Quick Start
## Installation
```bash
python setup.py install
```

## Usage

```bash
df_gc --help
```

```
usage: df_gc [-h] (--pretrained-model PATH_TO_MODEL | --dataset-from-huggingface DATASET_NAME | --dataset-from-file DATASET_FILE) [--save-pretrained FILE_TO_SAVE_TO]
EXAMPLE_DIRECTORY OUTPUT_FILE

Use example dialogues to construct a dialog flow graph saved in output_file.

positional arguments:
EXAMPLE_DIRECTORY     directory containing example dialogues
OUTPUT_FILE           file with the resulting structure

optional arguments:
-h, --help            show this help message and exit
--pretrained-model PATH_TO_MODEL
file previously generated by --save_pretrained
--dataset-from-huggingface DATASET_NAME
train graph model on a dataset from huggingface
--dataset-from-file DATASET_FILE
train graph model on a dataset stored locally
--save-pretrained FILE_TO_SAVE_TO
file to save trained model to
```

```bash
df_gc --dataset-from-file examples/example_dataset.dialogues examples/example_dialogues examples/output.json
```

---

## Dialogue formats

Dialogue files in the ```EXAMPLE_DIRECTORY``` folder should have the following structure:
```json
{
"dialogue_id": "unique identifier",
"turns": {
"speaker": "array of 0 and 1 where 0 corresponds to a user utterance and 1 corresponds to a system utterance",
"utterance": "array of strings"
}
}
```
Dialogue dataset is a list of such dictionaries.

To get more advanced examples, take a look at [examples](examples) on GitHub.

# Contributing to the Dialog Flow Graph Construction

Please refer to [CONTRIBUTING.md](CONTRIBUTING.md).
df-slots 0.1.0
**Dialog Flow Slots** is python module add-on for [Dialog Flow Framework](https://github.com/deepmipt/dialog_flow_framework), a free and open-source software stack for creating chatbots, released under the terms of Apache License 2.0.
Requires Python: >=3.6, <4
Keywords: chatbots,Dialog Flow Slots


# Dialog Flow Slots

**Dialog Flow Slots** is python module add-on for [Dialog Flow Framework](https://github.com/deepmipt/dialog_flow_framework), a free and open-source software stack for creating chatbots, released under the terms of Apache License 2.0.


[Dialog Flow Slots](../..) allows you to ...
[![Codestyle](../../../workflows/codestyle/badge.svg)](../../../actions)
[![Tests](../../../workflows/test_coverage/badge.svg)](../../../actions)
[![License Apache 2.0](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)
![Python 3.6, 3.7, 3.8, 3.9](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8%20%7C%203.9-green.svg)

<!-- TODO: uncomment one of these to add badges to your project description -->
<!-- [![Documentation Status](https://df_slots.readthedocs.io/en/stable/?badge=stable)]() See readthedocs.io -->
<!-- [![Coverage Status]()]() See coveralls.io -->
<!-- [![PyPI](https://img.shields.io/pypi/v/df_slots)](https://pypi.org/project/df_slots/) -->
<!-- [![Downloads](https://pepy.tech/badge/df_slots)](https://pepy.tech/project/df_slots) -->

# Quick Start
## Installation
```bash
pip install Dialog Flow Slots
```

## Basic example
```python

```

To get more advanced examples, take a look at [examples](examples) on GitHub.

# Contributing to the Dialog Flow Slots

Please refer to [CONTRIBUTING.md](CONTRIBUTING.md).
df-graph-constructing 0.1.0
**Dialog Flow Graph Constructing** is python module add-on for [Dialog Flow Framework](https://github.com/deepmipt/dialog_flow_framework), a free and open-source software stack for creating chatbots, released under the terms of Apache License 2.0.
Requires Python: >=3.6, <4
Keywords: chatbots,Dialog Flow Graph Constructing


# Dialog Flow Graph Constructing

**Dialog Flow Graph Constructing** is python module add-on for [Dialog Flow Framework](https://github.com/deepmipt/dialog_flow_framework), a free and open-source software stack for creating chatbots, released under the terms of Apache License 2.0.


[Dialog Flow Graph Constructing](../..) allows you to automatically generate dff scripts from example dialogues.
[![Codestyle](../../../workflows/codestyle/badge.svg)](../../../actions)
[![Tests](../../../workflows/test_coverage/badge.svg)](../../../actions)
[![License Apache 2.0](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)
![Python 3.8, 3.9](https://img.shields.io/badge/python-3.8%20%7C%203.9-green.svg)

<!-- TODO: uncomment one of these to add badges to your project description -->
<!-- [![Documentation Status](https://df_graph_constructing.readthedocs.io/en/stable/?badge=stable)]() See readthedocs.io -->
<!-- [![Coverage Status]()]() See coveralls.io -->
<!-- [![PyPI](https://img.shields.io/pypi/v/df_graph_constructing)](https://pypi.org/project/df_graph_constructing/) -->
<!-- [![Downloads](https://pepy.tech/badge/df_graph_constructing)](https://pepy.tech/project/df_graph_constructing) -->

# Quick Start
## Installation
```bash
python setup.py install
```

## Usage

```bash
df_gc --help
```

```
usage: df_gc [-h] (--pretrained-model PATH_TO_MODEL | --dataset-from-huggingface DATASET_NAME | --dataset-from-file DATASET_FILE) [--save-pretrained FILE_TO_SAVE_TO]
EXAMPLE_DIRECTORY OUTPUT_FILE

Use example dialogues to construct a dialog flow graph saved in output_file.

positional arguments:
EXAMPLE_DIRECTORY     directory containing example dialogues
OUTPUT_FILE           file with the resulting structure

optional arguments:
-h, --help            show this help message and exit
--pretrained-model PATH_TO_MODEL
file previously generated by --save_pretrained
--dataset-from-huggingface DATASET_NAME
train graph model on a dataset from huggingface
--dataset-from-file DATASET_FILE
train graph model on a dataset stored locally
--save-pretrained FILE_TO_SAVE_TO
file to save trained model to
```

```bash
df_gc --dataset-from-file examples/example_dataset.dialogues examples/example_dialogues examples/output.json
```

---

## Dialogue formats

Dialogue files in the ```EXAMPLE_DIRECTORY``` folder should have the following structure:
```json
{
"dialogue_id": "unique identifier",
"turns": {
"speaker": "array of 0 and 1 where 0 corresponds to a user utterance and 1 corresponds to a system utterance",
"utterance": "array of strings"
}
}
```
Dialogue dataset is a list of such dictionaries.

To get more advanced examples, take a look at [examples](examples) on GitHub.

# Contributing to the Dialog Flow Graph Constructing

Please refer to [CONTRIBUTING.md](CONTRIBUTING.md).
df-turn-cacher 0.1.0
**Dialog Flow Turn Cacher** is python module add-on for [Dialog Flow Framework](https://github.com/deepmipt/dialog_flow_framework), a free and open-source software stack for creating chatbots, released under the terms of Apache License 2.0.
Requires Python: >=3.6, <4
Keywords: chatbots,Dialog Flow Turn Cacher


# Dialog Flow Turn Cacher

**Dialog Flow Turn Cacher** is python module add-on for [Dialog Flow Framework](https://github.com/deepmipt/dialog_flow_framework), a free and open-source software stack for creating chatbots, released under the terms of Apache License 2.0.


[Dialog Flow Turn Cacher](../..) allows you to ...
[![Codestyle](../../../workflows/codestyle/badge.svg)](../../../actions)
[![Tests](../../../workflows/test_coverage/badge.svg)](../../../actions)
[![License Apache 2.0](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)
![Python 3.6, 3.7, 3.8, 3.9](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8%20%7C%203.9-green.svg)

<!-- TODO: uncomment one of these to add badges to your project description -->
<!-- [![Documentation Status](https://df_turn_cacher.readthedocs.io/en/stable/?badge=stable)]() See readthedocs.io -->
<!-- [![Coverage Status]()]() See coveralls.io -->
<!-- [![PyPI](https://img.shields.io/pypi/v/df_turn_cacher)](https://pypi.org/project/df_turn_cacher/) -->
<!-- [![Downloads](https://pepy.tech/badge/df_turn_cacher)](https://pepy.tech/project/df_turn_cacher) -->

# Quick Start
## Installation
```bash
pip install df_turn_cacher
```

## Basic example
```python

```

To get more advanced examples, take a look at [examples](examples) on GitHub.

# Contributing to the Dialog Flow Turn Cacher

Please refer to [CONTRIBUTING.md](CONTRIBUTING.md).