semvec/pypi-packages huggingface dataset:
c-log 0.0.3
Colored logger
Requires Python: >=3.8

# c_log
Микропакет для цветного вывода на стандартный вывод
Актуальная версия пакета `0.0.3`

## Как использовать
Пример установки пакета

```shell
python3 -m pip install c-log==0.0.3
```

Пример использование пакета
```python
import time
from c_log import msg

msg.ok('Test message')
msg.ok('Test message', 'core')
time.sleep(1)
msg.info('Test message')
msg.info('Test message', 'core')
time.sleep(1)
msg.warn('Test message')
msg.warn('Test message', 'core')
time.sleep(1)
msg.error('Test message')
msg.error('Test message', 'core')
```
Пример стандартного вывода
```shell
 2021-12-13 13:56:30 [OK] Test message 
 2021-12-13 13:56:30 [OK] [CORE] Test message 
 2021-12-13 13:56:31 [INFO] Test message 
 2021-12-13 13:56:31 [INFO] [CORE] Test message 
 2021-12-13 13:56:32 [WARN] Test message 
 2021-12-13 13:56:32 [WARN] [CORE] Test message 
 2021-12-13 13:56:33 [ERROR] Test message 
 2021-12-13 13:56:33 [ERROR] [CORE] Test message
```

## Сборка пакета

```shell
python3 setup.py sdist bdist_wheel
```
```shell
twine upload dist/*
```
stats5b5t 0.1.5
API Wrapper for 5b5t.org
Keywords: python,api,5b5t,minecraft,wrapper


# 5b5t statistics
API wrapper for 5b5t's statistics

```pip install stats5b5t```

> **Tested on: [Python 3.9](https://www.python.org/downloads/release/python-390)**

## [Documentation](https://github.com/ScobraScope/stats5b5t-documentaition)
You can find a detailed documentation [here](https://github.com/ScobraScope/stats5b5t-documentaition)

## Usage
```py
from stats5b5t import api

stats = api.Statistics()

r = stats.request("uuid here")

print(stats.kills(r))
```

**With debugging:**

```py
from stat5b5t import api, tools

stats = api.Statistics()
tests = tools.Debugging()

r = stats.request("uuid here")

print(stats.kills(r))
print(tests.isvalid(r))
print(tests.missmatch(r))
print(tests.errmsg(r))
```

**Username instead of UUID**

```py
from stats5b5t import api

stats = api.Statistics()

uuid = stats.getuuid("playername")
r = stats.request(uuid)

print(stats.deaths(r))
```

## Modules: api, tools

> **api**

Handles requests and data sorting for you.

> **tools**

Handles debugging and checks for you.

## Updates
I will update this from time to time to add new features, and I will for sure update it whenever there are API changes to stay up to date.
DeepReader 0.0.3
A reading tool which splits texts (ebooks, webpages) into sentences and displays them one at a time, for increased focus.

 # DeepReader

    DeepReader is an application which intelligently extracts the relevant
    plaintext content from a variety of text types (webpages, ebooks,
    etc.), intelligently "munges" (cleans and restructures) it, and
    intelligently segments it into sentences, for reading.

    I guess the word "intelligent" is being used to convey that
    it is meant to use the most effective general-purpose
    algorithms possible, including machine learning, so that
    it produces basically what a human would produce, given
    a wide variety of formats, scenarios, etc. That is to say, 
    not a method that produces small errors.

    The point is to provide more focus when reading, especially
    when studying dense, difficult information like
    mathematics or programming documentation. It can also
    help people who have some kind of difficulty with reading
    comprehension by breaking lots of text into small, comprehensible
    pieces and provide tools similar to annotation which help you
    note-take and process what you are reading.

    DeepReader is currently in a very simple form and is planned
    to over time significantly develop and mature as an application.