semvec/pypi-packages huggingface dataset:
distend 1.1.1
Distend - targeted word list generator
Requires Python: >=3.6

# Distend
> generate targeted word lists for password cracking

![](https://github.com/not-sponsored/distend/blob/main/example_usage.gif)

Perhaps you have a stubborn hash that refuses to crack under a generic word list. Maybe you have specific intel about the person/password in question such as a

- Date of birth
- Mother's maiden name
- Pet names
- Age
- Address
- Other important dates
- Business specific terms
- Favorite foods
- Catch phrases
- Etc

Why not combine the generic word list with the extra details for a more targeted list?

If you think that's a good idea, then Distend is for you. It can even implement common leet speak character replacements.

If you think Distend is useful, please `star` the repository.

-----
## Installation

You can install the package from PyPi using pip

```sh
pip install distend
```

or you can directly clone the repository then install locally

```sh
git clone [url_from_code_button_above]
cd [your_clone_location]
pip install .
```

Distend is supported on Python 3.6 and above. Also, there are no dependencies, but Distend does use a few standard library packages (included by default with your Python install).

-----
## Usage

Basic Usage

```sh
distend infile.txt outfile.txt
```

For more details and options use the help flag

```sh
distend -h
```

-----
## Development setup

To run the unit tests, navigate to the test directory and run the following

```sh
python3 -m unittest test_modifier.py
python3 -m unittest test_io_utils.py
python3 -m unittest test_serializer.py
python3 -m unittest test_cli.py
```

You may have to visit the repository to get the test files because they are not included with the pip install.

-----
## Meta
Hanwen Zuo – HanwenZuo1@gmail.com

Distend is distributed under the Apache License, Version 2.0. See ``LICENSE`` for more information.

[https://github.com/not-sponsored](https://github.com/not-sponsored)

Special thanks to [@dbader_org](https://twitter.com/dbader_org) for the readme template.

## Contributing

1. Fork it (<https://github.com/not-sponsored/distend/fork>)
2. Create your feature branch (`git checkout -b feature/fooBar`)
3. Commit your changes (`git commit -am 'Add some fooBar'`)
4. Push to the branch (`git push origin feature/fooBar`)
5. Create a new Pull Request

## Disclaimer

Please refrain from malicious use of the software.
For full details view the ``LICENSE``.

Don't forget to `star` the repository if you like it.
loragateway 0.4
lora gateway
Keywords: lora gateway

# loragateway

## features

- [X] logging incoming messages into sqlite db
- [X] publishing incoming messages to broker
- [X] sending lora messages which come into channel 'LoRaSendQueue'

## usage

```shell
pi@hq:~ $ loragw --help
usage: loragw [-h] [-a ADDRESS] [-p PORT] [-i ID] [-d DATABASE]

optional arguments:
  -h, --help            show this help message and exit
  -a ADDRESS, --address ADDRESS
                        MQTT server address
  -p PORT, --port PORT  MQTT server port
  -i ID, --id ID        MQTT client id
  -d DATABASE, --database DATABASE
                        Path to sqlite database
```
xcp-esgar 0.0.1
A  transformer based Q&A solution for experimentation with BERT - Q&A system based decision processes.
Requires Python: >=3.5
Keywords: xcp_esgar

# xcp_esgar



[![image](https://pyup.io/repos/github/rayniervanegmond/xcp_esgar/shield.svg)](https://pyup.io/repos/github/rayniervanegmond/xcp_esgar)


**A  transformer based Q&A solution for experimentation with BERT - Q&A system based decision processes.**


## Features

-   TODO

## Credits

This package was created with [Cookiecutter](https://github.com/cookiecutter/cookiecutter) and the [rayniervanegmond/pypackage](https://github.com/rayniervanegmond/pypackage) project template.