
    Design a preprocessing function for an adaptive learning system that removes all spaces from student-submitted answers before comparing them with the system's correct answers. The function should ensure accurate assessment by eliminating spacing variations that could incorrectly mark a conceptually correct answer as wrong. The function must handle any valid string input containing alphabets, numbers, and special characters while preserving all non-space characters in their original order.
    

    
import re

def remove_whitespaces(text1):
    """
    Design a preprocessing function for an adaptive learning system that removes all spaces from student-submitted answers before comparing them with the system's correct answers. The function should ensure accurate assessment by eliminating spacing variations that could incorrectly mark a conceptually correct answer as wrong. The function must handle any valid string input containing alphabets, numbers, and special characters while preserving all non-space characters in their original order.
    

    """
import re

def remove_whitespaces(text1):
    """
    Design a preprocessing function for an adaptive learning system that removes all spaces from student-submitted answers before comparing them with the system's correct answers. The function should ensure accurate assessment by eliminating spacing variations that could incorrectly mark a conceptually correct answer as wrong. The function must handle any valid string input containing alphabets, numbers, and special characters while preserving all non-space characters in their original order.
    

    """
    return re.sub('\\s+', '', text1)