I am using a code which runs some actions infinitely, as well as performing additional actions that should be performed at a lower frequency - specified in milliseconds interval. Since I need a function whose resolution scales to milliseconds, I found that time.perf_counter_ns() can fit: import time last_time_ns = time.perf_counter_ns() while True: # do different stuff current_time_ns = time.perf_counter_ns() elapsed_time_ms = (current_time_ns - last_time_ns) / 1_000_000 if elapsed_time_ms > 500: print("do something every 500 ms") last_time_ns = current_time_ns But this seems to really overburden my CPU and cause the fan to be pretty loud (compared to when this program is turned off). My PC is quite strong and can run other heavy programs with ease. I did narrow the program to remove any suspect actions so I am pretty sure it is the perf function that causes it. So is time.perf_counter_ns() that heavy a function on resources? Are there alternatives which are light and can be used for my purpose? Continue reading...
