
    Design a function for an adaptive learning system that generates all possible sequences of question types for a practice session, where each sequence contains a specified number of questions. The function should take a list of available question types (such as 'easy', 'medium', 'hard') and the desired session length as inputs, and return all possible combinations of question sequences that could be presented to students, allowing the same question type to appear multiple times within a sequence.
    

    
from itertools import combinations_with_replacement

def combinations_colors(l, n):
    """
    Design a function for an adaptive learning system that generates all possible sequences of question types for a practice session, where each sequence contains a specified number of questions. The function should take a list of available question types (such as 'easy', 'medium', 'hard') and the desired session length as inputs, and return all possible combinations of question sequences that could be presented to students, allowing the same question type to appear multiple times within a sequence.
    

    """
from itertools import combinations_with_replacement

def combinations_colors(l, n):
    """
    Design a function for an adaptive learning system that generates all possible sequences of question types for a practice session, where each sequence contains a specified number of questions. The function should take a list of available question types (such as 'easy', 'medium', 'hard') and the desired session length as inputs, and return all possible combinations of question sequences that could be presented to students, allowing the same question type to appear multiple times within a sequence.
    

    """
    return list(combinations_with_replacement(l, n))