It’s all depending on what method
Answer:
struct node{
student data;
node* next;
};
Explanation:
The above written is the segment of code is the structure of node of the linked list.The data of the node is type student.So the data of the node of the linked list will consist of the student details and the next is the pointer which holds the address of the next node.
Answer:
program :
def separate_int_and_str(list_1):# function to seprate the list.
str_list=[] #list to hold the
int_list=[]#list which holds the integer value.
for x in list_1: #for loop to extract the list.
if(type(x)==str): #if condition to check the type of the element.
str_list.append(x)#create a list for the string value.
elif(type(x)==int): #check condition for th einteger value.
int_list.append(x)#create a list for the integer value.
Explanation:
- The above-defined function is written in the python language, which used the code to separate the list for integer and the string value.
- There are two lists define in the function which holds the integer and the string value separately.
- There is a 'for' loop which scans the element of the list and checks the list by the help of type function which tells the class of the element.
- Then if the type function states that the element is from the strong class, it will assign the element on the string list otherwise it assigns the element in the integer list.
Answer:
It would be correct to say that out-of-order makes a machine's performance more sensitive to branch prediction accuracy.
Explanation:
This can be explained as when a machine is out-of-order, in that state the execution holds importance in prediction accuracy, any increase in these results in rate of prediction near about 25% for the single-issue operating in-order. This is due to the reason that some of the predictions are required for the global pattern history. Most recent outcomes are recorded in the register and for a 4-way machine which is out-of-order, accuracy is very poor as a result of the delay of the branch history for next prediction.