Answer:
C++ code is given below
Explanation:
#include <iostream>
#include <cctype>
#include <string.h>
#include <cstring>
#include <sstream>
using namespace std;
struct Car {
public:
char reportingMark[5];
int carNumber;
string kind;
bool loaded;
string destination;
};
void input(Car *);
void output(Car *);
int main() {
Car *T = new Car;
input(T);
output(T);
delete T;
return 0;
}
void input(Car *T)
{
string str, s;
cout << " Enter the reporting mark as a 5 or less character uppercase string: ";
cin >> str;
for (int i = 0; i < str.length(); i++)
T->reportingMark[i] = toupper(str[i]);
cout << " Enter the car number: ";
cin >> T->carNumber;
cout << " Enter the kind: ";
cin >> T->kind;
cout << " Enter the loaded status as true or false: ";
cin >> s;
istringstream(s) >> boolalpha >> T->loaded;
if (T->loaded == true) {
cout << " Enter the destination: ";
cin.ignore();
getline(cin, T->destination);
}
else
T->destination = "NONE";
}
void output(Car *T)
{
cout << " Reporting Mark: " << T->reportingMark;
cout << " Car Number: " << T->carNumber;
cout << " Kind: " << T->kind;
cout << " Loaded Status: " << boolalpha << T->loaded;
cout << " Destination: " << T->destination << " ";
}
Answer:
moderators have to delete it for u
Explanation:
Answer:
a. Partly True
b. True
Explanation:
(a) "new" keyword or syntax is used for the constructors while working in Perl and Moose object system for Perl.
For Visual Basics .Net, keyword "New" is used
For Python, "___new___" is used which allocates memory for instance and receives class as an argument.
For Objective-C, "alloc" and "init" are used for constructor method. "alloc" allocates memory for the instance and "init" handles the bulk of initializing the instance. Whereas, the "new" keyword calls both "alloc" and "init" for class instance.
(b) A constructor does not return any value because it is called by the memory allocation and object initialization code in the runtime and not directly by your code.
Answer:
c. Skewness
Explanation:
Cluster analysis involves analyzing a set of object by grouping the set of objects in such a way that objects in the one group or cluster are more similar to each other than to those in other groups or clusters. The characteristics of data that can strongly affect cluster analysis includes the size, sparseness, scale, etc.
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