
    Given a user's content interaction pattern represented as a binary number, where 1 indicates active engagement and 0 indicates no interaction with specific content categories, develop a function that identifies and activates the leftmost content category that hasn't been explored (leftmost 0). The function should return the modified interaction pattern with the identified category now marked as active (1), helping the recommendation system suggest new content types to the user.
    

    
def set_left_most_unset_bit(n):
    """
    Given a user's content interaction pattern represented as a binary number, where 1 indicates active engagement and 0 indicates no interaction with specific content categories, develop a function that identifies and activates the leftmost content category that hasn't been explored (leftmost 0). The function should return the modified interaction pattern with the identified category now marked as active (1), helping the recommendation system suggest new content types to the user.
    

    """
def set_left_most_unset_bit(n):
    """
    Given a user's content interaction pattern represented as a binary number, where 1 indicates active engagement and 0 indicates no interaction with specific content categories, develop a function that identifies and activates the leftmost content category that hasn't been explored (leftmost 0). The function should return the modified interaction pattern with the identified category now marked as active (1), helping the recommendation system suggest new content types to the user.
    

    """
    if not n & n + 1:
        return n
    (pos, temp, count) = (0, n, 0)
    while temp:
        if not temp & 1:
            pos = count
        count += 1
        temp >>= 1
    return n | 1 << pos