semvec/pypi-packages huggingface dataset:
pydtype 0.1.0
Translate data type specifiers between common frameworks
License: MIT
Requires Python: >=3.6,<4.0

# pydtype

[![PyPI](https://img.shields.io/pypi/v/pydtype.svg?label=PyPI&style=flat-square)](https://pypi.org/pypi/pydtype/)
[![Python](https://img.shields.io/pypi/pyversions/pydtype.svg?label=Python&color=yellow&style=flat-square)](https://pypi.org/pypi/pydtype/)
[![Test](https://img.shields.io/github/workflow/status/KaoruNishikawa/pydtype/Test?logo=github&label=Test&style=flat-square)](https://github.com/KaoruNishikawa/pydtype/actions)
[![License](https://img.shields.io/badge/license-MIT-blue.svg?label=License&style=flat-square)](https://github.com/KaoruNishikawa/pydtype/blob/main/LICENSE)

Translate data type specifiers between common frameworks.

## Features

This library provides:

- Translator of data type spacifier such as [format character in struct](https://docs.python.org/3/library/struct.html#format-characters) and [dtype in Numpy](https://numpy.org/doc/stable/reference/arrays.dtypes.html#specifying-and-constructing-data-types).

## Installation

```shell
pip install pydtype
```

## Usage

To translate struct format `h` (2-byte integer) to Numpy format, run the following script.

```python
>>> import pydtype
>>> pydtype.translate("h", "struct", "numpy")
'i16'
```

---

This library is using [Semantic Versioning](https://semver.org).
Project-Grid-lock 1.0
A module that allows the use of positions in images as a password
License: MIT

The concept behind this is to let the user choose their password by looking at an image. Each image contains a few regions known as "hotspots," which refer to the areas of the image that are most frequently looked at; however, each image also tells a different story and maybe particular to each individual. After doing some research, each image has a few areas known as "hotspots," which refer to the parts of the image that are most frequently looked at; however, each image also tells a different story and might be unique to each person. Research has shown that humans find it easier to remember a story or series of events when compared to remembering a list of alphanumeric characters.
By allowing the user to choose the image they want to use as a password, GridLock will be able to make sure that it has a special property that only the user is aware of, namely, users' perspective towards the moment or the picture. Keeping this in mind, I intend to create an encryption system that allows users to choose specific elements of an image in a specific order to encrypt any password. This system would be paired with each user's individual perspective and the image they want to use as the basis for their password. This is especially helpful for various private software developers to incorporate into their software instead of the conventional (outdated) password protection system.

Changelog 
==========================================

1.0 (02/10/2022) 
------------------------------------------
- First release
xontrib-avox-poetry 0.3.3
auto-activate venv as one cd into a poetry project
License: MIT
Requires Python: >=3.8
Keywords: xontrib,xonsh

# Overview

auto-activate venv as one cd into a poetry project folder. 

## Installation

To install use pip:

``` bash
xpip install xontrib-avox-poetry
# or: xpip install -U git+https://github.com/jnoortheen/xontrib-avox-poetry
```

## Usage

``` bash
xontrib load avox_poetry
```

## Configuration

```python

# If found, the env name is searched inside the $VIRTUALENV_HOME 
# rather than invoking `poetry env info -p` command every time `cd` happens
# It is faster setting this variable. It will also be used by poetry.
$VIRTUALENV_HOME = "~/.virtualenvs"

# name of the venv folder. If found will activate it.
# if set to None then local folder activation will not work.
$XSH_AVOX_VENV_NAME = ".venv"

# exclude activation of certain paths by setting
$XSH_AVOX_EXCLUDED_PATHS = {"xsh-src"}
```

## Credits

This package was created with [xontrib cookiecutter template](https://github.com/jnoortheen/xontrib-cookiecutter).