How To Fix Recursionerror In Python (original) (raw)

Last Updated : 02 Feb, 2024

In this article, we will elucidate the Recursionerror In Python through examples, and we will also explore potential approaches to resolve this issue.

What is Recursionerror In Python?

When you run a Python program you may see Recursionerror. So what is Recursionerror In Python? **Python **RecursionError exception is raised when the execution of your program exceeds the recursion limit of the Python interpreter. This typically occurs when a function calls itself recursively, and the recursion doesn't have a proper stopping condition (base case).

Why does Recursionerror occur?

There are various reasons for Recursionerror in Python. Here we are explaining some common reasons for occurring Recursionerror:

**Missing Base Case

As we all know the recursive function should include a base case that defines when the recursion should stop. However when we do not specify a base case, the function may keep calling itself indefinitely, leading to a 'RecursionError.'

Python3 `

def endless_recursion(n): """A recursive function without a proper base case""" return n * endless_recursion(n-1)

print(endless_recursion(5))

`

Hangup (SIGHUP)
Traceback (most recent call last):
File "Solution.py", line 5, in
print(endless_recursion(5))
File "Solution.py", line 3, in endless_recursion
return n * endless_recursion(n-1)
File "Solution.py", line 3, in endless_recursion
return n * endless_recursion(n-1)
File "Solution.py", line 3, in endless_recursion
return n * endless_recursion(n-1)
[Previous line repeated 996 more times]
**RecursionError: maximum recursion depth exceeded

**Infinite Recursion

This occurs when we incorrectly define recursive logic and it fails to make progress towards the base case can result in infinite recursion.This exhausts the call stack and results into 'RecursionError.'

Python3 `

def countdown(n): if n > 0:

Here we dont reduce n so it leads to infinite loop

    print(n)
    countdown(n)

Example usage with n=5

n=5 countdown(n)

`

Hangup (SIGHUP)
Traceback (most recent call last):
File "Solution.py", line 8, in
countdown(n)
File "Solution.py", line 5, in countdown
countdown(n)
File "Solution.py", line 5, in countdown
countdown(n)
File "Solution.py", line 5, in countdown
countdown(n)
[Previous line repeated 994 more times]
File "Solution.py", line 4, in countdown
print(n)
**RecursionError: maximum recursion depth exceeded while getting the str of an object

**Exceeding Maximum Recursion Depth

In Python, there is a limit on the maximum recursion depth to prevent stack overflow.If a recursive function exceeds this limit, Python raises a 'RecursionError.'

Python3 `

def factorial(n): if n == 0: return 1 else: return n * factorial(n-1)

Testing the factorial function

result = factorial(1001) print(result)

`

Here we are calling factorial with a large value of n, that why we encounter a RecursionError.

Hangup (SIGHUP)
Traceback (most recent call last):
File "Solution.py", line 8, in
result = factorial(500000)
File "Solution.py", line 5, in factorial
return n * factorial(n-1)
File "Solution.py", line 5, in factorial
return n * factorial(n-1)
File "Solution.py", line 5, in factorial
return n * factorial(n-1)
[Previous line repeated 995 more times]
File "Solution.py", line 2, in factorial
if n == 0:
**RecursionError: maximum recursion depth exceeded

Fix "RecursionError: Maximum Recursion Depth Exceeded" Error In Python

Below are some of the ways by which we can fix RecursionError in Python:

**Adding a Base Case

One effective way to prevent RecursionError is to ensure that the recursive function has a proper stopping condition, commonly referred to as a base case. This ensures that the recursion stops when a certain condition is met.

Python3 `

def factorial_recursive_with_base_case(n): # Base case: when n is 0, return 1 if n == 0: return 1

# Recursive call
return n * factorial_recursive_with_base_case(n - 1)

if name == 'main': # Example: calculating the factorial of 100 result = factorial_recursive_with_base_case(100) print(result)

`

**Output:

93326215443944152681699238856266700490715968264381621468592963895217599993229915608941463976156518286253697920827223758251185210916864000000000000000000000000

**Increase Recursion Limit

The “sys” module in Python provides a function called setrecursionlimit() to modify the recursion limit in Python. It takes one parameter, the value of the new recursion limit. By default, this value is usually 10^3. If you are dealing with large inputs, you can set it to, 10^6 so that large inputs can be handled without any errors.

Python3 `

importing the sys module

import sys

sys.setrecursionlimit(10**6)

def fact(n):

if(n == 0):
    return 1

return n * fact(n - 1)

if name == 'main':

# taking input
f = 1001

print(fact(f))

`

**Output:

4027896473371708673172461363569269897050942390749253471763437103403684509110276496126362526954563742052804685988073932546902985398678033674602251534996145355884219285911608336787424513549159212522992854569462713969958504379595406450196963727411427873474502813253243738244563002268716094314978269894891095227257916911679456985092824215386329665233766798918236969009820752...................................................

**Using Iteration Instead of Recursion

Another effective way to address RecursionError is to convert the recursive solution into an iterative one, using loops instead of recursive calls.

Python3 `

Function to calculate the factorial of a number using an iterative approach

def factorial_iterative(n): # Initialize the result to 1 result = 1

# Iterate from 1 to n (inclusive)
for i in range(1, n + 1):
    # Multiply the current result by the current value of i
    result *= i

# Return the final result after the loop
return result

#Examples

result = factorial_iterative(1001)

print(result)

`

**Output:

4027896473371708673172461363569269897050942390749253471763437103403684509110276496126362526954563742052804685988073932546902985398678033674602251534996145355884219285911608336787424513549159212522992854569462713969958504379595406450196963727411427873474502813253243738244563002268716094314978269894891095227257916911679456985092824215386329665233766798918236969009820752...................................................

**Conclusion

In this article we discussed about 'RecursionError' in Python involves understanding the root cause, which may include missing base cases or improper recursive logic. By incorporating base cases and adjusting recursive logic, developers can effectively fix 'RecursionError' and ensure that recursive functions terminate appropriately, preventing infinite loops and stack overflow.