Solutions to frequent Restart prompts during Python operation

Problem description

First of all, we need to clarify the specific manifestations of the problem. When you are running Python When the program，ifIDEOr the command line terminal frequently shows "Restart" prompts, and even the program restarts automatically, which is usually due to one of the following reasons:

1. Infinite loop or recursion in code: The program enters a loop or recursion that cannot be bounced out, causing the system resources to be exhausted, triggering a restart.
2. Memory leak: The program continuously consumes memory during operation, and eventually reaches the system's memory limit, resulting in a forced restart of the system.
3. External interruption: For example, intervention by an operating system or other application causes the program to be forced to terminate and restart.
4. IDE setup issues: Some IDEs automatically restart the program when a specific error is detected.
5. Hardware issues: For example, power instability or hardware failure may also cause program restart.

In order to better understand the problem, we can analyze it through some specific examples.

Code Example

Infinite loop

while True:
    print("This is an infinite loop")

This code prints infinitely "This is an infinite loop" until the system resources are exhausted or forced to terminate.

Recursive call

def recursive_function(n):
    print(n)
    recursive_function(n + 1)

recursive_function(1)

This code will call itself infinitely recursively until the stack overflows, causing the program to crash.

Memory leak

import time

data = []

def memory_leak():
    while True:
        ("Some data")
        (1)

memory_leak()

This code will be used every second todataAdding new data to the list eventually leads to running out of memory.

Solution

1. Check the code logic

Infinite loop

Make sure your loop has clear exit conditions. For example:

count = 0
while count < 10:
    print("Count:", count)
    count += 1

Recursive call

Make sure that recursive calls have clear termination conditions. For example:

def recursive_function(n, max_depth=10):
    if n > max_depth:
        return
    print(n)
    recursive_function(n + 1)

recursive_function(1)

Memory leak

Regularly clean up data that is no longer needed. For example:

import time
import gc

data = []

def memory_leak():
    while True:
        ("Some data")
        if len(data) > 1000:
            ()
            ()  # Manually trigger garbage collection        (1)

memory_leak()

2. Check IDE settings

Some IDEs such as PyCharm will automatically restart the program when a specific error is detected. You can check the settings of the IDE and turn off the automatic restart function. Take PyCharm as an example:

1. Open PyCharm.
2. EnterFile -> Settings。
3. Navigate toBuild, Execution, Deployment -> Python Debugger。
4. UncheckRestart process automatically on file changes。

3. Check the system log

If the problem persists, you can check the system log for more clues. On Windows, you can use the Event Viewer; on Linux, you can view/var/logLog files in the directory.

4. Update software and drivers

Make sure your operating system, IDE and other related software are the latest versions. Sometimes, problems can be caused by known bugs, and updates to the software can solve these problems.

5. Check the hardware

If none of the above methods can solve the problem, it may be a hardware problem. Check whether the power supply is stable, whether the memory stick is working properly, and whether other hardware devices are faulty.

Think further

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