
    Write a function to determine if a segment of a medical image scan shows any activated pixels within a specified region of interest, where activation could indicate potential disease markers. The function should analyze a binary representation of the image segment from a starting position 'l' to an ending position 'r', where each bit represents a pixel's activation state. The analysis must verify if all pixels within this range are inactive (unset), which would indicate absence of suspicious patterns.
    

    
def all_Bits_Set_In_The_Given_Range(n, l, r):
    """
    Write a function to determine if a segment of a medical image scan shows any activated pixels within a specified region of interest, where activation could indicate potential disease markers. The function should analyze a binary representation of the image segment from a starting position 'l' to an ending position 'r', where each bit represents a pixel's activation state. The analysis must verify if all pixels within this range are inactive (unset), which would indicate absence of suspicious patterns.
    

    """
def all_Bits_Set_In_The_Given_Range(n, l, r):
    """
    Write a function to determine if a segment of a medical image scan shows any activated pixels within a specified region of interest, where activation could indicate potential disease markers. The function should analyze a binary representation of the image segment from a starting position 'l' to an ending position 'r', where each bit represents a pixel's activation state. The analysis must verify if all pixels within this range are inactive (unset), which would indicate absence of suspicious patterns.
    

    """
    num = (1 << r) - 1 ^ (1 << l - 1) - 1
    new_num = n & num
    if new_num == 0:
        return True
    return False