Last active
August 16, 2024 03:00
-
-
Save nmsderp/34bd4242dd2369d0a6c22c6312ed1165 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # THIS IS FOR THE RASPBERRY PI PICO W WITH MICROPYTHON | |
| import time | |
| import math | |
| import machine | |
| def calculate_pi(n): | |
| pi = 0 | |
| for k in range(n): | |
| pi += (1 / (16 ** k)) * ( | |
| (4 / (8 * k + 1)) - | |
| (2 / (8 * k + 4)) - | |
| (1 / (8 * k + 5)) - | |
| (1 / (8 * k + 6)) | |
| ) | |
| return pi | |
| def complex_math_calculations(): | |
| factorial_result = math.factorial(100) | |
| def fibonacci(n): | |
| a, b = 0, 1 | |
| for _ in range(n): | |
| a, b = b, a + b | |
| return a | |
| fibonacci_result = fibonacci(100) | |
| def is_prime(n): | |
| if n <= 1: | |
| return False | |
| for i in range(2, int(math.sqrt(n)) + 1): | |
| if n % i == 0: | |
| return False | |
| return True | |
| prime_result = [i for i in range(1000) if is_prime(i)] | |
| return factorial_result, fibonacci_result, prime_result | |
| def read_temperature(): | |
| sensor = machine.ADC(4) | |
| conversion_factor = 3.3 / (65535) | |
| reading = sensor.read_u16() * conversion_factor | |
| temperature = 27 - (reading - 0.706) / 0.001721 | |
| return temperature | |
| def stress_test_iteration(): | |
| print("Calculating digits of Pi...") | |
| pi_digits = calculate_pi(10) | |
| print(f"Pi: {pi_digits}") | |
| print("Performing complex mathematical calculations...") | |
| factorial_result, fibonacci_result, prime_result = complex_math_calculations() | |
| print(f"Factorial Result: {str(factorial_result)[:50]}...") | |
| print(f"Fibonacci Result: {fibonacci_result}") | |
| print(f"Prime Numbers: {prime_result[:50]}") | |
| print("Reading temperature...") | |
| temperature = read_temperature() | |
| print(f"Temperature: {temperature:.2f} C") | |
| def stress_test(duration_minutes=30): | |
| start_time = time.ticks_ms() | |
| end_time = start_time + duration_minutes * 60 * 1000 | |
| iteration_count = 0 | |
| while time.ticks_ms() < end_time: | |
| iteration_start_time = time.ticks_ms() | |
| stress_test_iteration() | |
| iteration_end_time = time.ticks_ms() | |
| iteration_duration = time.ticks_diff(iteration_end_time, iteration_start_time) | |
| iteration_count += 1 | |
| elapsed_time = time.ticks_diff(iteration_end_time, start_time) // 1000 | |
| print(f"Iteration {iteration_count} completed in {iteration_duration} ms") | |
| print(f"Elapsed time: {elapsed_time} seconds") | |
| time.sleep(1) | |
| print("Stress test completed") | |
| stress_test(30) | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment