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Welcome to the CPUMetrics wiki!

first example usage case:

import requests

# URL of the raw file on GitHub
file_url = 'https://raw.githubusercontent.com/FrederickDietz/CPUMetrics/main/CPUMetrics.py'

# Send a GET request to fetch the raw file
response = requests.get(file_url)

# Check if the request was successful
if response.status_code == 200:
    # Save the content to a local file
    with open('CPUMetrics.py', 'wb') as file:
        file.write(response.content)
    print("File downloaded successfully.")
else:
    print("Failed to download the file. Status code:", response.status_code)

from CPUMetrics import *
import random

# Function to calculate IPS (simulated)
def calculate_ips(cpu):
    # Simple simulated calculation of IPS (Instructions per second)
    base_ips = cpu['clock_speed'] * cpu['cores'] * random.uniform(1.5, 3.0)
    return round(base_ips, 2)

# Main function to process CPU data and print capabilities with IPS
def print_cpu_capabilities():
    if not cpus:
        print("No CPUs found.")
        return

    print(f"{'CPU Model':<25} {'Cores':<10} {'Clock Speed (GHz)':<20} {'IPS Metric':<15}")
    print("-" * 70)

    for cpu in cpus:
        model = cpu.get('model', 'Unknown')
        cores = cpu.get('cores', 0)
        clock_speed = cpu.get('clock_speed', 0)
        
        # Calculate IPS metric
        ips = calculate_ips(cpu)
        
        # Print the CPU's details
        print(f"{model:<25} {cores:<10} {clock_speed:<20} {ips:<15}")

if __name__ == "__main__":
    print_cpu_capabilities()
print(len(cpus))