semvec/pypi-packages huggingface dataset:
BAAlgorithmUtils 3.4.4
Algorithm utils for python

# BAAlgorithmUtils

[![PyPI version](https://badge.fury.io/py/BAAlgorithmUtils.svg)](https://badge.fury.io/py/BAAlgorithmUtils)
[![Build Status](https://travis-ci.com/BenArvin/BAAlgorithmUtils.svg)](https://travis-ci.com/github/BenArvin/BAAlgorithmUtils)

Algorithm utils for python

| Algorithm | Code file | Example |
| :--- | :--- | :--- |
| Tire tree | `TireTreeUtil.py` | `TireTreeUtilTest.py` |
| --- | --- | --- |
| KMP | `KMPUtil.py` | `KMPUtilTest.py` |
| Boyer-Moore | `BMUtil.py` | `BMUtilTest.py` |
| Horspool | `HorspoolUtil.py` | `HorspoolUtilTest.py` |
| Aho-Corasick | `AhoCorasickUtil.py` | `AhoCorasickUtilTest.py` |
| SBOM | `SBOMUtil.py` | `SBOMUtilTest.py` |
| --- | --- | --- |
| Binary Search Tree | `BSTUtil.py` | `BSTUtilTest.py` |
| Adelson-Velsky and Landis Tree | `AVLTreeUtil.py` | `AVLTreeUtilTest.py` |
| Red-Black Tree | `RBTreeUtil.py` | `RBTreeUtilTest.py` |
| --- | --- | --- |
| Bubble sort | `SortUtil.py` - `bubbleSort` | `SortUtilTest.py` |
| Selection sort | `SortUtil.py` - `selectionSort` | `SortUtilTest.py` |
| Quick sort | `SortUtil.py` - `quickSort` | `SortUtilTest.py` |
| Bucket sort | `SortUtil.py` - `bucketSort` | `SortUtilTest.py` |

Other utils:

- `ClassUtil.py`
BAClangUtils 1.0.10
Clang utils for parse Objective-C code

# BAClangUtils

[![PyPI version](https://badge.fury.io/py/BAClangUtils.svg)](https://badge.fury.io/py/BAClangUtils)
[![Build Status](https://travis-ci.com/BenArvin/BAClangUtils.svg)](https://travis-ci.com/github/BenArvin/BAClangUtils)

Clang utils for parse Objective-C code

## 1. ShellUtil
Run shell command get response and error silently.

## 2. RawTokenUtil
Parse OC code file by Clang and get all raw tokens.
text-labeling 0.1.2
Visual Text Labeling tool.
Requires Python: >=3.6

# Guided Labeling using Active Learning

![Text Labeling](https://github.com/soniacq/TextLabelingTool/blob/master/imgs/plot_guided_labeling.png)

## Demo

In Jupyter Notebook::
~~~~
import TextLabeling
TextLabeling.plot_guided_labeling(initial_dataset, unlabeled_dataset, validation_dataset)
~~~~
jc.robinhood 2.0.0
Unofficial Robinhood API client library for Python
Requires Python: >=3.9

# robinhood

[![GitHub](https://img.shields.io/github/license/jaredrcleghorn/robinhood?color=blue)](https://github.com/jaredrcleghorn/robinhood/blob/main/LICENSE)
![publish](https://github.com/jaredrcleghorn/robinhood/actions/workflows/publish.yml/badge.svg)
[![PyPI](https://img.shields.io/pypi/v/jc.robinhood)](https://pypi.org/project/jc.robinhood/)

Unofficial Robinhood API client library for Python

## Installation

```shell
pipenv install jc.robinhood
```

## Usage

```python
import json
import robinhood as rh

CONFIG_FILENAME = 'config.json'

with open(CONFIG_FILENAME) as f:
    config = json.load(f)

device_token = config['robinhood']['device_token']
username = config['robinhood']['username']
password = config['robinhood']['password']

if device_token == '':
    device_token = rh.generate_device_token()

    print()
    robinhood = rh.Robinhood(device_token, username, password)

    config['robinhood']['device_token'] = device_token

    with open(CONFIG_FILENAME, 'w') as f:
        json.dump(config, f, indent='\t')
        f.write('\n')
else:
    robinhood = rh.Robinhood(device_token, username, password)

print()
print('Positions:')
print()

for position in robinhood.get_positions():
    print(f"{position['symbol']} ({position['quantity']})")

print()
```

## Contributing

You will need [Pipenv](https://pipenv.pypa.io/en/latest/). On [Mac](https://www.apple.com/mac/), you
can install Pipenv using [Homebrew](https://brew.sh). To install Homebrew, run

```shell
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
```

Then, to install Pipenv, run

```shell
brew install pipenv
```

To install dependencies, move into the project folder and run

```shell
pipenv install
```

To run tests, fill out the `config.json` file with your Robinhood
`username` and `password` and then run

```shell
pipenv run test
```