IN C language: This problem relies on the following struct definition:typedef struct Employee{char *first; // Employee's first name. char *last; // Employee's last name. int ID; // Employee ID.} Employee;Consider the following function, which takes three arrays – each of length n – containing the first names, last names, and ID numbers of n employees for some company. The function dynamically allocates an array of n Employee structs, copies the information from the array arguments into the corresponding array of structs, and returns the dynamically allocated array. Employee *makeArray(char **firstNames, char **lastNames, int *IDs, int n){int i;Employee *array = malloc();for (i = 0; i < n; i++){array[i].first = malloc( );array[i].last = malloc();strcpy(array[i].first, firstNames[i]);strcpy(array[i].last , lastNames[i]);array[i].ID = IDs[i];}return array;}a) Fill in the blanks above with the appropriate arguments for each malloc() statement. b) Next, write a function that takes a pointer to the array created by the makeArray() function, along with the number of employee records in that array (n) and frees all the dynamically allocated memory associated with that array. The function signature is as follows:void freeEmployeeArray(Employee *array, int n){

Your task this week is to write a very simple spam classifier in python. it will classify messages as either spam (unwanted) or ham (wanted). the program will have a set of spam_words, words that are known to appear in spam messages. that set is included in the template file spam.pypreview the document. you will also define a spam threshold which reflects the allowed percentage of spam words in the message. you'll compute a 'spam indicator', which is the ratio of spam words to the total number of unique words in the message. if the spam indicator exceeds the spam threshold, the message is classified as spam. otherwise it is classified as ham. we'll assume that the spam threshold is a constant and has a value of 0.10. your program will prompt the user for a message and then will print the corresponding spam indicator with two decimal digits and the corresponding classification (spam or ham). the program will be case insensitive. the spam words are detected whether they are in lower case or upper case or mixed case. each word, spam or not, is counted once (even if it appears multiple times in the message.) the program will remove punctuation from the message before identifying the words and computing the spam indicator. for example '! ' must be identified as the spam word 'now'.

How might the success of your campaign be affected if you haven’t carefully completed all field data or if you accidentally insert the wrong merge field in the document?

Assume the existence of a bankaccount class. define a derived class, savingsaccount that contains two instance variables: the first a double, named interestrate, and the second an integer named interesttype. the value of the interesttype variable can be 1 for simple interest and 2 for compound interest. there is also a constructor that accepts two parameters: a double that is used to initialize the interestrate variable, and a string that you may assume will contain either "simple", or "compound", and which should be used to initialize the interesttype variable appropriately. there should also be a pair of functions getinterestrate and getinteresttype that return the values of the corresponding data members (as double and int respectively).