Python does not have a built-in keyword like restart
to jump back to the beginning of the same loop execution. However, you can achieve the effect of restarting a loop by structuring your code differently, typically using nested loops and control flow statements.
Achieving the "Restart" Effect with Nested Loops
Based on the concept described in the reference, the primary method to effectively "restart" a loop from its beginning is to nest that loop inside another loop.
Here's the principle:
- You have the loop you want to be able to "restart" (let's call this the inner loop).
- You place this inner loop inside an outer loop.
- Inside the inner loop, you include a condition or mechanism that, when met, causes the inner loop to terminate its current execution.
- When the inner loop terminates this way, the control flow returns to the outer loop.
- The outer loop then proceeds to its next iteration. As part of starting a new iteration of the outer loop, the code re-enters and re-starts the inner loop from its beginning.
The reference mentions setting specific variables like continueRoutine
to False
and an inner loop object's finished
attribute to True
. While the exact variable names (continueRoutine
, name_of_your_inner_loop.finished
) might be specific to a particular framework or context (like PsychoPy, where these terms are common), the underlying concept is using internal signals or variables within the inner loop to trigger its termination, which then allows the outer loop to initiate a new run of the inner loop.
How Control Flow Works
Standard Python loop control statements help manage this process:
Action | Effect on Loop | How Achieved in Python |
---|---|---|
break |
Immediately exits the current loop entirely. | break keyword |
continue |
Skips the rest of the current iteration and moves to the next iteration of the same loop. | continue keyword |
"Restart" | Exits the current run of the inner loop, allowing an outer loop to begin it again from the start in a subsequent iteration. | Nesting the inner loop, using break or flags within the inner loop to exit, and relying on the outer loop's iteration structure. |
Using break
inside the inner loop is a common way to exit its current run and return control to the outer loop.
Example: Simulating a Restart
Let's illustrate this with a conceptual example where we might want to "restart" processing an item under certain conditions.
# Outer loop: Controls how many times we can potentially "restart" the inner process
outer_attempts = 0
max_outer_attempts = 3
while outer_attempts < max_outer_attempts:
outer_attempts += 1
print(f"\n--- Outer Loop Iteration: {outer_attempts} ---")
# Flag to signal if we need to restart the inner process
restart_needed = False
# Inner loop: The process we want to be able to restart
inner_attempts = 0
# We use 'while True' or a condition that makes sense for the inner loop's duration
# and rely on 'break' or flags to exit it.
while inner_attempts < 2: # Example inner loop condition
inner_attempts += 1
print(f" Inner Loop Iteration: {inner_attempts}")
# Simulate some work or checks inside the inner loop
# ... perform task ...
# --- Condition to trigger a "restart" ---
# If a certain condition is met, we decide to exit this inner loop run
# and let the outer loop start it over.
if outer_attempts == 1 and inner_attempts == 1: # Example condition for restarting
print(" Condition met! Signalling restart...")
restart_needed = True # Set flag
break # Exit the current inner loop execution
# --- End of restart condition ---
print(" Inner loop iteration completed normally.")
# Check the flag after the inner loop exits
if restart_needed:
print("Restart signalled. Outer loop will continue to next iteration, restarting inner process.")
# 'continue' here is implicit; the while outer_attempts loop naturally goes to the next iteration
# if not explicitly broken out of. We just ensure we don't proceed with post-inner-loop code
# that shouldn't run if a restart occurred.
continue # Skip the rest of the outer loop body and go to the next outer iteration
# This part only runs if the inner loop finished without signaling a restart
print("Inner loop finished without needing a restart.")
# Break the outer loop if the inner process completed successfully
break # Exit the outer loop after successful inner completion
print("\n--- Loop process finished ---")
In this example, when restart_needed
is set to True
and break
is called in the inner loop, the inner loop's current execution is terminated. The code then checks the restart_needed
flag. If it's True
, the continue
statement in the outer loop causes the outer loop to immediately proceed to its next iteration, effectively restarting the inner loop process from the beginning. If the inner loop finishes without setting restart_needed
, the break
statement after the inner loop exits both loops, signaling completion.
Summary
To "restart" a loop in Python in the sense of breaking out of its current run and starting it over from the beginning, you must:
- Nest the loop you want to restart inside another loop.
- Use control flow (like the
break
statement) or status flags (similar tofinished
orcontinueRoutine
mentioned in the reference) within the inner loop to signal its termination when a restart condition is met. - The outer loop's natural iteration process will then re-enter the inner loop, effectively "restarting" it.
This pattern allows you to control the execution flow and re-run a block of code (the inner loop) multiple times based on conditions encountered during its execution.