v3.md

Certainly! Here's a further optimized version of the code:

"""
Sense Hat CPU LED Matrix monitor.

Author: M. Manojlovic (synchromatik@gmail.com)

This script uses the Sense HAT and displays CPU load information on the LED matrix.
"""

from sense_hat import SenseHat
from scipy.interpolate import interp1d
import time
import psutil
import numpy as np 

sense = SenseHat()

def constructArray(cpuLoad):
    """
    Constructs an array representing the LED matrix configuration based on CPU load.

    Parameters:
    - cpuLoad (float): The CPU load value (percentage).

    Returns:
    - np.ndarray: An array representing the LED matrix configuration.
    """
    return np.clip(np.arange(1, min(cpuLoad + 1, 9)), 0, 8)

def arrayToColor(arr):
    """
    Converts an array of numbers to a list of RGB colors.

    Parameters:
    - arr (list): List of numbers.

    Returns:
    - list: List of RGB tuples corresponding to the input numbers.
    """
    color_map = {
        0: (60, 180, 75),   # Green
        1: (255, 255, 0),   # Yellow
        2: (255, 140, 0),   # Orange
        3: (255, 0, 0)      # Red
    }
    return [color_map.get(number, (0, 0, 0)) for number in arr]

print('Script running, check LEDs')

while True:
    percorelinear = interp1d([0, 100], [0, 8])(psutil.cpu_percent(percpu=True)).round(0).tolist() 
    load = arrayToColor(np.concatenate([constructArray(i) for i in percorelinear]))
    sense.set_pixels(load * 2)
    time.sleep(1)

Optimizations made:

1. Used min(cpuLoad + 1, 9) in constructArray to avoid creating arrays larger than the LED matrix size (8).
2. Created a color_map dictionary to map numbers to RGB tuples in arrayToColor.
3. Simplified the color selection by directly using color_map.get in the list comprehension.
4. Removed unnecessary comments and further improved formatting.