semvec/pypi-packages huggingface dataset:
hyperfocus 1.2.0
Minimalist daily task manager.
License: MIT
Requires Python: <4.0,>=3.8
Keywords: cli, todo, todolist, todo-list, task-list, productivity

<p align="center">
    <a href="#readme">
        <img alt="HyperFocus logo" src="https://raw.githubusercontent.com/u8slvn/hyperfocus/main/docs/source/_static/logo.png">
    </a>
</p>
<p align="center">
    <a href="https://pypi.org/project/hyperfocus/"><img src="https://img.shields.io/pypi/v/hyperfocus.svg" alt="Pypi Version"></a>
    <a href="https://pypi.org/project/hyperfocus/"><img src="https://img.shields.io/pypi/pyversions/hyperfocus" alt="Python Version"></a>
    <a href="https://github.com/u8slvn/hyperfocus/actions/workflows/ci.yml"><img src="https://img.shields.io/github/actions/workflow/status/u8slvn/hyperfocus/ci.yml?label=CI" alt="CI"></a>
    <a href="https://hyperfocus.readthedocs.io/"><img alt="Read the Docs" src="https://img.shields.io/readthedocs/hyperfocus"></a>
    <a href="https://coveralls.io/github/u8slvn/hyperfocus?branch=main"><img src="https://coveralls.io/repos/github/u8slvn/hyperfocus/badge.svg?branch=main" alt="Coverage Status"></a>
    <a href="https://app.codacy.com/gh/u8slvn/hyperfocus/dashboard"><img src="https://img.shields.io/codacy/grade/01ddd5668dbf4fc09f20ef215d0eec0b" alt="Code Quality"></a>
    <a href="https://pypi.org/project/hyperfocus/"><img src="https://img.shields.io/pypi/l/hyperfocus" alt="Project license"></a>
</p>

---

**HyperFocus** is a minimalist CLI daily tasks manager that helps you stay focused on your work by avoiding distractions.

## 📜 Philosophy

You won't anticipate more than your daily goal with **HyperFocus**. No tasks prepared for the next week or month. The workflow is designed around the idea that, on a daily basis, you will review each unfinished tasks from the past day and choose whether you want to add it to the daily tasks. You are then able to prepare all your tasks for the day and update them to follow your work. The intention is to avoid overwhelming yourself and focus only on what you have prepared to do, for you and only you.

## 🚀 Quickstart

### Installation

The library [pipx](https://pypa.github.io/pipx/) allows to install and run Python applications in isolated environments so it does not mess around with your local installed library versions by keeping your local machine clean even after an uninstallation.

```bash
pipx install hyperfocus
```

Test your installation:

```bash
hyf --version
```

### Initialization

In order to work properly, **HyperFocus** needs to initialize a database and a configuration file. Both are generated into your home directory, unless you specified another location.

```bash
hyf init
```

### Example Usage

Add a new task:

```bash
hyf add "Implement the new super feature"
```

Add a new task with details:

```bash
hyf add "Read the great article about Python" -d "https://python-article.com"
```

Follow your daily tasks:

```bash
hyf status
```

or:

```bash
hyf
```

Find more information about all the commands in the documentation: [hyperfocus.readthedocs.io](https://hyperfocus.readthedocs.io)
FlaskMotion 0.1.6
A simple Flask extension for smooth page transitions
License: MIT
Requires Python: >=3.6

# FlaskMotion

FlaskMotion is a lightweight Flask extension that adds smooth page transitions (fade-in, fade-out) to your Flask web applications.

## Usage

1. Import and initialize FlaskMotion in your Flask application:

```python
from flask import Flask
from flaskmotion import FlaskMotion

app = Flask(__name__)
FlaskMotion(app)

if __name__ == '__main__':
    app.run()
list-user-permissions-for-aws-idc 0.1.3
List users and permissions inside AWS Identity Center
License: MIT
Requires Python: <4.0,>=3.8
Keywords: aws, idc, sso

# List user permissions for AWS Identity Center(AWS IDC)

List all users and their corresponding permission set within an AWS Identity Center instance. AWS Identity Center is the new name for AWS SSO.

This will iterate through all users, and determine their permission sets (either directly attached to the user, or via a Group).

## Install & Use

As a pre-requisite, you will need Python 3.9 and above to run.

Run the following command to pip install the package:

    pip install list-user-permissions-for-aws-idc
    
## Use

    list-user-permissions-for-aws-idc

Ensure that the you run this in the account where AWS Identity Center (previously AWS SSO) instance is setup, and the in the correct region. 

You may supply a region and aws profile if you use the non default:

    list-user-permissions-for-aws-idc --profile my-org-profile --region us-east-1

## Output

The script outputs two files, a short 5 column CSV, and a long jsonl file. 

The jsonl file contains all details about the user, account, permission set, and group (if applicable), in a denormalized jsonl file. This file contains one json document per line, to make discovery easy.

The csv file contains only the 5 columns:

* User Name (this is the user's display name in AWS IDC)
* Account Name (the name of the account in AWS Organizations)
* Permission Set Name (the name of the permission set)
* InheritfromGroup (a column to indicate if the user inherited the permissions from a group or not)
* GroupName (if the user inherited this permission set from a group, this is the name of that group)

## Notes

If an account or permission set exists with no users attached to it, this report will not have a item on the list for it. Only permissions sets with account assignments associated with actual users will appear on the list.

Similarly, groups with no users as members will also not appear on the list.