Answer:
A Red Black Tree is a type of self-balancing(BST) in this tree ,each node is red or black colored. The red black tree meets all the properties of the binary search tree, but some additional properties have been added to a Red Black Tree.
A Red-Black tree's height is O(Logn) where (n is the tree's amount of nodes).
In a red-black tree with black height k
The maximum number of internal nodes is 
.
The smallest possible number is 
.
Answer:
def recursive_func():
x = input("Are we there yet?")
if x.casefold() == 'Yes'.casefold():
return
else:
recursive_func()
recursive_func()
Explanation:
We define the required function as recursive_func().
The first line takes user input. The user input is stored in variable x.
The next line compares the user input to a string yes. The function executes the else block if the condition isn't met, that is a recursive call is executed.
IF condition returns the function. The string in variable X is compared to a string 'Yes'. the casefold() is a string function that ignores the upper/lower cases when comparing two strings. (This is important because a string 'yes' is not the same yes a string 'Yes' or 'YES'. Two equal strings means their cases and length should match).
Answer:
Check the explanation
Explanation:
For 9th byte , it is from 8*8 bit to 9"8th bit so each word consists of 64 bits , to find word address u have to divide 8*8 by 64.
Offset within word = 9*8modulo 64.
For 27th byte , word address = 8*27/64.
Offset within word = 27* 8 modulo 64
For 21th byte , word address = 8*31/64
Offset within the word = 31*8 modulo 64
For 120 , word address = 8*120/64
Offset within the word = 120*8 modulo 64.
