semvec/pypi-packages huggingface dataset:
ez-typewriter 0.0.1
Typewriter Effect for Python!
Keywords: python,type,print,typewriter


## Typewriter Effect for Python

To use the Typewriter Effect for Python, you need to enter a function!

```py
import typewriter

time = 0.2
text = "Hello, world!"

typewriter.write(text, 0.5)
```

More coming soon!
https://github.com/NeverJar/typewriter

Support me: https://www.paypal.com/nebeldev948
netscan-td4b 1.0.2
This is an API adaption to the Original RustScan, which extends it's functionality for use as a native Python module e.g. Extension Module.
Requires Python: >=3.7

# netscan

This is an API adaption to the Original RustScan, which extends it's functionality for use as a native Python module e.g. Extension Module.

All Credits go to the original Authors which can be found here:
https://github.com/RustScan/RustScan

As of this commit, the Wheels distribution is built via RustScan version: 2.1.0 Release.

# How to Use.

Using the module is simple. Simply install the dependency via pip.

The default Batch Size is set to 10. The batch size is essentially the number of concurrent ports to check at a time e.g. check 10 ports at a time.

The default timeout (time to wait for a TCP timeout) is 1.5 seconds (1500 miliseconds).

Note that these are extremley conservative defaults and hence lead to low performance. To increase the performance for you're environment tweak these by setting the environment variables.

Here is a final example of how to use the NetScan extension module:

```python
>>> import os, netscan
>>> # Sets the concurrent number of ports to check at a time to 1500!
>>> os.environ["SCAN_BATCH_SIZE"] = "1500"
>>> # Sets the TCP Timeout to 0.5 seconds
>>> os.environ["SCAN_TIMEOUT"] = "500"
>>> netscan.run_scan(["10.0.0.1","10.0.0.28"])
>>> ['10.0.0.1:53', '10.0.0.1:80', '10.0.0.28:135', '10.0.0.28:139', '10.0.0.28:445', '10.0.0.1:443', '10.0.0.28:3389', '10.0.0.28:7680', '10.0.0.1:8080', '10.0.0.1:8181', '10.0.0.1:21515', '10.0.0.28:27036', '10.0.0.1:49152', '10.0.0.1:49153', '10.0.0.1:49154', '10.0.0.28:49670', '10.0.0.28:57621']
>>> exit()
```

Cheers!
matthew-Coef-MultiClass 0.0.5.2
Calcalating Matthew Correlation Coefficient for multi class problems

Generalized Matthew Corrlelation  Coefficient (MCC)

This package offers tools for calcualting (MCC)  
https://towardsdatascience.com/the-best-classification-metric-youve-never-heard-of-the-matthews-correlation-coefficient-3bf50a2f3e9a

The purpose was taking the knwon MCC and extending it to work on multi-class problems
In the init you can do one of the following:
1  Leave the avg_type empty - It will run the ggeneralized Matthew
2  Put 2 which will work similarly to clause 1
3 Put 3 which will run case The gneralized F1