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testing.py
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# PMLL Documentation
## Introduction
## The PMLL (Persistent, Memory Logic Loop) is a revolutionary AI system that enables machines to learn, reason, and remember like humans.
## Installation
## To install the PMLL, follow these steps:
##1. Clone the repository: `git clone https://github.com/bearycool11/pml.git`
##2. . Install the dependencies: `pip install -r requirements.txt`
## 3. Run the PMLL: `python pml.py`
## Usage
##The PMLL can be used for a variety of tasks, including:
##* Natural Language Processing (NLP)
##* Computer Vision
##* Robotics
## API Reference
#The PMLL API is designed to be easy to use and flexible. Here are some examples:
* `pml.init()`: Initializes the PMLL
* `pml.train()`: Trains the PMLL on a dataset
* `pml.predict()`: Makes predictions using the PMLL
## Contributing
## We welcome contributions to the PMLL repository. Here are some ways to get involved:
# * Fork the repository: `git fork https://github.com/bearycool11/pml.git`
# * Create a new branch: `git checkout -b my-branch`
# * Make changes: `git add .` and `git commit -m "My changes"`
# * Pull request: `git push origin my-branch`
import unittest
class TestPMLL(unittest.TestCase):
def test_init(self):
pml = PMLL()
self.assertIsNotNone(pml)
def test_train(self):
pml = PMLL()
pml.train()
self.assertTrue(pml.trained)
def test_predict(self):
pml = PMLL()
pml.predict()
self.assertIsNotNone(pml.predictions)
if __name__ == '__main__':
unittest.main()
import hashlib
def secure_data(data):
# Encrypt the data using a secure algorithm
encrypted_data = hashlib.sha256(data.encode()).hexdigest()
return encrypted_data
def verify_data(data, signature):
# Verify the data using a secure algorithm
verified = hashlib.sha256(data.encode()).hexdigest() == signature
return verified
import tkinter as tk
class PMLLGUI:
def __init__(self):
self.root = tk.Tk()
self.root.title("PMLL GUI")
self.label = tk.Label(self.root, text="PMLL GUI")
self.label.pack()
self.button = tk.Button(self.root, text="Run PMLL", command=self.run_pml)
self.button.pack()
def run_pml(self):
# Run the PMLL
pml = PMLL()
pml.run()
if __name__ == '__main__':
gui = PMLLGUI()
gui.root.mainloop()