not all code path return value? [duplicate] - c#

I'm trying to write code that returns whether or not a given integer is divisible evenly by 1 to 20, but I keep receiving the following error:
error CS0161: 'ProblemFive.isTwenty(int)': not all code paths return a value
Here is my code:
public static bool isTwenty(int num)
{
for(int j = 1; j <= 20; j++)
{
if(num % j != 0)
{
return false;
}
else if(num % j == 0 && num == 20)
{
return true;
}
}
}

You're missing a return statement.
When the compiler looks at your code, it's sees a third path (the else you didn't code for) that could occur but doesn't return a value. Hence not all code paths return a value.
For my suggested fix, I put a return after your loop ends. The other obvious spot - adding an else that had a return value to the if-else-if - would break the for loop.
public static bool isTwenty(int num)
{
for(int j = 1; j <= 20; j++)
{
if(num % j != 0)
{
return false;
}
else if(num % j == 0 && num == 20)
{
return true;
}
}
return false; //This is your missing statement
}

The compiler doesn't get the intricate logic where you return in the last iteration of the loop, so it thinks that you could exit out of the loop and end up not returning anything at all.
Instead of returning in the last iteration, just return true after the loop:
public static bool isTwenty(int num) {
for(int j = 1; j <= 20; j++) {
if(num % j != 0) {
return false;
}
}
return true;
}
Side note, there is a logical error in the original code. You are checking if num == 20 in the last condition, but you should have checked if j == 20. Also checking if num % j == 0 was superflous, as that is always true when you get there.

I also experienced this problem and found the easy solution to be
public string ReturnValues()
{
string _var = ""; // Setting an innitial value
if (.....) // Looking at conditions
{
_var = "true"; // Re-assign the value of _var
}
return _var; // Return the value of var
}
This also works with other return types and gives the least amount of problems
The initial value I chose was a fall-back value and I was able to re-assign the value as many times as required.

I like to beat dead horses, but I just wanted to make an additional point:
First of all, the problem is that not all conditions of your control structure have been addressed. Essentially, you're saying if a, then this, else if b, then this. End. But what if neither? There's no way to exit (i.e. not every 'path' returns a value).
My additional point is that this is an example of why you should aim for a single exit if possible. In this example you would do something like this:
bool result = false;
if(conditionA)
{
DoThings();
result = true;
}
else if(conditionB)
{
result = false;
}
else if(conditionC)
{
DoThings();
result = true;
}
return result;
So here, you will always have a return statement and the method always exits in one place. A couple things to consider though... you need to make sure that your exit value is valid on every path or at least acceptable. For example, this decision structure only accounts for three possibilities but the single exit can also act as your final else statement. Or does it? You need to make sure that the final return value is valid on all paths. This is a much better way to approach it versus having 50 million exit points.

Or simply do this stuff:
public static bool isTwenty(int num)
{
for(int j = 1; j <= 20; j++)
{
if(num % j != 0)
{
return false;
}
else if(num % j == 0 && num == 20)
{
return true;
}
else
{
return false;
}
}
}

Have a look at this one. It is the Ternary operator in C#.
bool BooleanValue = (num % 3 != 0) ? true : false;
This is just to show the principle; you can return True or False (or even integer or string) depending on the outcome of something on the left side of the question mark. Nice operator, this.
Three alternatives together:
public bool test1()
{
int num = 21;
bool BooleanValue = (num % 3 != 0) ? true : false;
return BooleanValue;
}
public bool test2()
{
int num = 20;
bool test = (num % 3 != 0);
return test;
}
Even Shorter:
public bool test3()
{
int num = 20;
return (bool)(num % 3 != 0);
}

class Program
{
double[] a = new double[] { 1, 3, 4, 8, 21, 38 };
double[] b = new double[] { 1, 7, 19, 3, 2, 24 };
double[] result;
public double[] CheckSorting()
{
for(int i = 1; i < a.Length; i++)
{
if (a[i] < a[i - 1])
result = b;
else
result = a;
}
return result;
}
static void Main(string[] args)
{
Program checkSorting = new Program();
checkSorting.CheckSorting();
Console.ReadLine();
}
}
This should work, otherwise i got the error that not all codepaths return a value. Therefor i set the result as the returned value, which is set as either B or A depending on which is true

This usually happens to me if I misplace a return statement, for example:
Adding a return statement, or in my case, moving it to correct scope will do the trick:

Not all code paths return a value.
Solution: To solve the error, make sure to return a value from all code paths in the function or set noImplicitReturns to false in your tsconfig.json file.

Related

Not all code paths return a value Error in tutorial [duplicate]

I'm trying to write code that returns whether or not a given integer is divisible evenly by 1 to 20, but I keep receiving the following error:
error CS0161: 'ProblemFive.isTwenty(int)': not all code paths return a value
Here is my code:
public static bool isTwenty(int num)
{
for(int j = 1; j <= 20; j++)
{
if(num % j != 0)
{
return false;
}
else if(num % j == 0 && num == 20)
{
return true;
}
}
}
You're missing a return statement.
When the compiler looks at your code, it's sees a third path (the else you didn't code for) that could occur but doesn't return a value. Hence not all code paths return a value.
For my suggested fix, I put a return after your loop ends. The other obvious spot - adding an else that had a return value to the if-else-if - would break the for loop.
public static bool isTwenty(int num)
{
for(int j = 1; j <= 20; j++)
{
if(num % j != 0)
{
return false;
}
else if(num % j == 0 && num == 20)
{
return true;
}
}
return false; //This is your missing statement
}
The compiler doesn't get the intricate logic where you return in the last iteration of the loop, so it thinks that you could exit out of the loop and end up not returning anything at all.
Instead of returning in the last iteration, just return true after the loop:
public static bool isTwenty(int num) {
for(int j = 1; j <= 20; j++) {
if(num % j != 0) {
return false;
}
}
return true;
}
Side note, there is a logical error in the original code. You are checking if num == 20 in the last condition, but you should have checked if j == 20. Also checking if num % j == 0 was superflous, as that is always true when you get there.
I also experienced this problem and found the easy solution to be
public string ReturnValues()
{
string _var = ""; // Setting an innitial value
if (.....) // Looking at conditions
{
_var = "true"; // Re-assign the value of _var
}
return _var; // Return the value of var
}
This also works with other return types and gives the least amount of problems
The initial value I chose was a fall-back value and I was able to re-assign the value as many times as required.
I like to beat dead horses, but I just wanted to make an additional point:
First of all, the problem is that not all conditions of your control structure have been addressed. Essentially, you're saying if a, then this, else if b, then this. End. But what if neither? There's no way to exit (i.e. not every 'path' returns a value).
My additional point is that this is an example of why you should aim for a single exit if possible. In this example you would do something like this:
bool result = false;
if(conditionA)
{
DoThings();
result = true;
}
else if(conditionB)
{
result = false;
}
else if(conditionC)
{
DoThings();
result = true;
}
return result;
So here, you will always have a return statement and the method always exits in one place. A couple things to consider though... you need to make sure that your exit value is valid on every path or at least acceptable. For example, this decision structure only accounts for three possibilities but the single exit can also act as your final else statement. Or does it? You need to make sure that the final return value is valid on all paths. This is a much better way to approach it versus having 50 million exit points.
Or simply do this stuff:
public static bool isTwenty(int num)
{
for(int j = 1; j <= 20; j++)
{
if(num % j != 0)
{
return false;
}
else if(num % j == 0 && num == 20)
{
return true;
}
else
{
return false;
}
}
}
Have a look at this one. It is the Ternary operator in C#.
bool BooleanValue = (num % 3 != 0) ? true : false;
This is just to show the principle; you can return True or False (or even integer or string) depending on the outcome of something on the left side of the question mark. Nice operator, this.
Three alternatives together:
public bool test1()
{
int num = 21;
bool BooleanValue = (num % 3 != 0) ? true : false;
return BooleanValue;
}
public bool test2()
{
int num = 20;
bool test = (num % 3 != 0);
return test;
}
Even Shorter:
public bool test3()
{
int num = 20;
return (bool)(num % 3 != 0);
}
class Program
{
double[] a = new double[] { 1, 3, 4, 8, 21, 38 };
double[] b = new double[] { 1, 7, 19, 3, 2, 24 };
double[] result;
public double[] CheckSorting()
{
for(int i = 1; i < a.Length; i++)
{
if (a[i] < a[i - 1])
result = b;
else
result = a;
}
return result;
}
static void Main(string[] args)
{
Program checkSorting = new Program();
checkSorting.CheckSorting();
Console.ReadLine();
}
}
This should work, otherwise i got the error that not all codepaths return a value. Therefor i set the result as the returned value, which is set as either B or A depending on which is true
This usually happens to me if I misplace a return statement, for example:
Adding a return statement, or in my case, moving it to correct scope will do the trick:
Not all code paths return a value.
Solution: To solve the error, make sure to return a value from all code paths in the function or set noImplicitReturns to false in your tsconfig.json file.

How to save CPU cycles when searching for a value in a sorted list?

In CodinGame learning platform, one of the questions used as an example in a C# tutorial is this one:
The aim of this exercise is to check the presence of a number in an
array.
Specifications: The items are integers arranged in ascending order.
The array can contain up to 1 million items. The array is never null.
Implement the method boolean Answer.Exists(int[] ints, int k) so that
it returns true if k belongs to ints, otherwise the method should
return false.
Important note: Try to save CPU cycles if possible.
Example:
int[] ints = {-9, 14, 37, 102};
Answer.Exists(ints, 102) returns true.
Answer.Exists(ints, 36) returns false.
My proposal was to do that:
using System;
using System.IO;
public class Answer
{
public static bool Exists(int[] ints, int k)
{
foreach (var i in ints)
{
if (i == k)
{
return true;
}
if (i > k)
{
return false;
}
}
return false;
}
}
The result of the test was:
✔ The solution works with a 'small' array (200 pts) - Problem solving
✔ The solution works with an empty array (50 pts) - Reliability
✘ The solution works in a reasonable time with one million items (700 pts) - Problem solving
I don't get the last point. It appears that the code may be more optimal than the one I suggested.
How to optimize this piece of code? Is a binary search an actual solution (given that the values in the array are already ordered), or there is something simpler that I missed?
Yes, I think that binary search O(log(N)) complexity v. O(N) complexity is the solution:
public static bool Exists(int[] ints, int k) {
return Array.BinarySearch(ints, k) >= 0;
}
since Array.BinarySearch return non-negative value if the item (k) has been found:
https://msdn.microsoft.com/en-us/library/2cy9f6wb(v=vs.110).aspx
Return Value Type: System.Int32 The index of the specified value in
the specified array, if value is found; otherwise, a negative number.
Here is a fast method for an ordered array
public static class Answer
{
public static bool Exists( int[] ints, int k )
{
var lower = 0;
var upper = ints.Length - 1;
if ( k < ints[lower] || k > ints[upper] ) return false;
if ( k == ints[lower] ) return true;
if ( k == ints[upper] ) return true;
do
{
var middle = lower + ( upper - lower ) / 2;
if ( ints[middle] == k ) return true;
if ( lower == upper ) return false;
if ( k < ints[middle] )
upper = Math.Max( lower, middle - 1 );
else
lower = Math.Min( upper, middle + 1 );
} while ( true );
}
}
Takes around 50 ticks on my cpu (with 90.000.000 items in the array)
Sample on dotnetfiddle
class Answer
{
public static bool Exists(int[] ints, int k)
{
int index = Array.BinarySearch(ints, k);
if (index > -1)
{
return true;
}
else
{
return false;
}
}
static void Main(string[] args)
{
int[] ints = { -9, 14, 37, 102 };
Console.WriteLine(Answer.Exists(ints, 14)); // true
Console.WriteLine(Answer.Exists(ints, 4)); // false
}
}
Apparently, the task intends we use the default binary search method instead of implementing one. I was also somewhat surprised it is what it evaluates for in 3rd test. "The solution uses the standard library to perform the binary search (iterating on ints)"
Which kinda is confusing, they could have mentioned this in the code instead of giving some 15 - 20 minutes to solve. which is another reason for this confusion.
This is what I wrote for that question -> dividing array to half and search the half -> a more rudimentary way of implementing it...
int half = size/2;
if( k < ints[half])
{
for(int i=0; i < half; i++)
{
if( k == ints[i])
{
return true;
}
}
}
else
{
for(int i=half; i < size; i++)
{
if( k == ints[i])
{
return true;
}
}
}
public static bool Exists(int[] ints, int k)
{
var d = 0;
var f = ints.Length - 1;
if (d > f) return false;
if (k > ints[f] || k < ints[d]) return false;
if (k == ints[f] || k == ints[d]) return true;
return (BinarySearch(ints, k, d, f) > 0);
}
public static int BinarySearch(int[] V, int Key, int begin, int end)
{
if (begin > end)
return -1;
var MidellIndex = (begin + end) / 2;
if (Key == V[MidellIndex])
return MidellIndex;
else
{
if (Key > V[MidellIndex])
{
begin = MidellIndex + 1;
return BinarySearch(V, Key, begin, end);
}
else
{
end = MidellIndex - 1;
return BinarySearch(V, Key, begin, end);
}
}
}
I saw the all solutions, by the way I create and test the following recursive approach and get the complete points:
public static bool Exists(int[] ints, int k)
{
if (ints.Length > 0 && ints[0] <= k && k <= ints[ints.Length - 1])
{
if (ints[0] == k || ints[ints.Length - 1] == k) return true;
return SearchRecursive(ints, k, 0, ints.Length - 1) != -1;
}
return false;
}
private static int SearchRecursive(int[] array, int value, int first, int last)
{
int middle = (first + last) / 2;
if (array[middle] == value)
{
return middle;
}
else if (first >= last)
{
return -1;
}
else if (value < array[middle])
{
return SearchRecursive(array, value, first, middle - 1);
}
else
{
return SearchRecursive(array, value, middle + 1, last);
}
}
Yes, BinarySearch would be faster than most algorithms you can write manually. However, if the intent of the exercise is to learn how to write an algorithm, you are on the right track. Your algorithm, though, makes an unnecessary check with if (i > k) ... why do you need this?
Below is my general algorithm for simple requirements like this. The while loop like this is slightly more performant than a for-loop and out performs a foreach easily.
public class Answer
{
public static bool Exists(int[] ints, int k)
{
var i = 0;
var hasValue = false;
while(i < ints.Length && !hasValue)
{
hasValue = ints[i] == k;
++i;
}
return hasValue;
}
}
If you are trying to squeeze every ounce of speed out of it... consider that your array has 1..100 and you want to search for 78. Your algorithm needs to search and compare 78 items before you find the right one. How about instead you search the first item and its not there, so you jump to array size / 2 and find 50? Now you skipped 50 iterations. You know that 78 MUST be in the top half of the array, so you can again split it in half and jump to 75, etc. By continuously splitting the array in half, you do much fewer iterations then your brute force approach.

C# compiler error: "not all code paths return a value"

I'm trying to write code that returns whether or not a given integer is divisible evenly by 1 to 20, but I keep receiving the following error:
error CS0161: 'ProblemFive.isTwenty(int)': not all code paths return a value
Here is my code:
public static bool isTwenty(int num)
{
for(int j = 1; j <= 20; j++)
{
if(num % j != 0)
{
return false;
}
else if(num % j == 0 && num == 20)
{
return true;
}
}
}
You're missing a return statement.
When the compiler looks at your code, it's sees a third path (the else you didn't code for) that could occur but doesn't return a value. Hence not all code paths return a value.
For my suggested fix, I put a return after your loop ends. The other obvious spot - adding an else that had a return value to the if-else-if - would break the for loop.
public static bool isTwenty(int num)
{
for(int j = 1; j <= 20; j++)
{
if(num % j != 0)
{
return false;
}
else if(num % j == 0 && num == 20)
{
return true;
}
}
return false; //This is your missing statement
}
The compiler doesn't get the intricate logic where you return in the last iteration of the loop, so it thinks that you could exit out of the loop and end up not returning anything at all.
Instead of returning in the last iteration, just return true after the loop:
public static bool isTwenty(int num) {
for(int j = 1; j <= 20; j++) {
if(num % j != 0) {
return false;
}
}
return true;
}
Side note, there is a logical error in the original code. You are checking if num == 20 in the last condition, but you should have checked if j == 20. Also checking if num % j == 0 was superflous, as that is always true when you get there.
I also experienced this problem and found the easy solution to be
public string ReturnValues()
{
string _var = ""; // Setting an innitial value
if (.....) // Looking at conditions
{
_var = "true"; // Re-assign the value of _var
}
return _var; // Return the value of var
}
This also works with other return types and gives the least amount of problems
The initial value I chose was a fall-back value and I was able to re-assign the value as many times as required.
I like to beat dead horses, but I just wanted to make an additional point:
First of all, the problem is that not all conditions of your control structure have been addressed. Essentially, you're saying if a, then this, else if b, then this. End. But what if neither? There's no way to exit (i.e. not every 'path' returns a value).
My additional point is that this is an example of why you should aim for a single exit if possible. In this example you would do something like this:
bool result = false;
if(conditionA)
{
DoThings();
result = true;
}
else if(conditionB)
{
result = false;
}
else if(conditionC)
{
DoThings();
result = true;
}
return result;
So here, you will always have a return statement and the method always exits in one place. A couple things to consider though... you need to make sure that your exit value is valid on every path or at least acceptable. For example, this decision structure only accounts for three possibilities but the single exit can also act as your final else statement. Or does it? You need to make sure that the final return value is valid on all paths. This is a much better way to approach it versus having 50 million exit points.
Or simply do this stuff:
public static bool isTwenty(int num)
{
for(int j = 1; j <= 20; j++)
{
if(num % j != 0)
{
return false;
}
else if(num % j == 0 && num == 20)
{
return true;
}
else
{
return false;
}
}
}
Have a look at this one. It is the Ternary operator in C#.
bool BooleanValue = (num % 3 != 0) ? true : false;
This is just to show the principle; you can return True or False (or even integer or string) depending on the outcome of something on the left side of the question mark. Nice operator, this.
Three alternatives together:
public bool test1()
{
int num = 21;
bool BooleanValue = (num % 3 != 0) ? true : false;
return BooleanValue;
}
public bool test2()
{
int num = 20;
bool test = (num % 3 != 0);
return test;
}
Even Shorter:
public bool test3()
{
int num = 20;
return (bool)(num % 3 != 0);
}
class Program
{
double[] a = new double[] { 1, 3, 4, 8, 21, 38 };
double[] b = new double[] { 1, 7, 19, 3, 2, 24 };
double[] result;
public double[] CheckSorting()
{
for(int i = 1; i < a.Length; i++)
{
if (a[i] < a[i - 1])
result = b;
else
result = a;
}
return result;
}
static void Main(string[] args)
{
Program checkSorting = new Program();
checkSorting.CheckSorting();
Console.ReadLine();
}
}
This should work, otherwise i got the error that not all codepaths return a value. Therefor i set the result as the returned value, which is set as either B or A depending on which is true
This usually happens to me if I misplace a return statement, for example:
Adding a return statement, or in my case, moving it to correct scope will do the trick:
Not all code paths return a value.
Solution: To solve the error, make sure to return a value from all code paths in the function or set noImplicitReturns to false in your tsconfig.json file.

C# perfect numbers exercise

can you help me with the following exercise pls? (it's not homework, just an exercise in the book I'm using.)
"An integer is said to be a perfect number if its factors, including one (but not the number itself), sum to the number. For example, 6 is a perfect number, because 6 = 1 + 2 + 3. Write method Perfect that determines whether parameter value is a perfect number. Use this method in an app that determines and displays all the perfect numbers between 2 and 1000. Display the factors of each perfect number to confirm that the number is indeed perfect."
so here's what i got so far:
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace Perfect_Numbers2
{
class Program
{
static bool IsItPerfect(int value)
{
int x = 0;
int counter = 0;
bool IsPerfect = false;
List<int> myList = new List<int>();
for (int i = value; i <= value; i++)
{
for (int j = 1; j < value; j++)
{
// if the remainder of i divided by j is zero, then j is a factor of i
if (i%j == 0) {
myList[counter] = j; //add j to the list
counter++;
}
for (int k = 0; k < counter; k++)
{
// add all the numbers in the list together, then
x = myList[k] + myList[k + 1];
}
// test if the sum of the factors equals the number itself (in which case it is a perfect number)
if (x == i) {
IsPerfect = true;
}
}
Console.WriteLine(i);
}
return IsPerfect;
}
static void Main(string[] args)
{
bool IsItAPerfectNum = false;
for (int i = 2; i < 1001; i++)
{
IsItAPerfectNum = IsItPerfect(i);
}
}
}
}
how would you do it? is my code fixable? how would you fix it? thanks!
im getting an error at line myList[counter] = j; (index was out of range) and besides it's not displaying the perfect numbers like it's supposed to....
EDIT = I made some changes;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace Perfect_Numbers2
{
class Program
{
static bool IsItPerfect(int value)
{
int x = 0;
int counter = 0;
bool IsPerfect = false;
List<int> myList = new List<int>();
for (int i = value; i <= value; i++)
{
for (int j = 1; j < i; j++)
{
if (i%j == 0) // if the remainder of i divided by j is zero, then j is a factor of i
{
myList.Add(j); //add j to the list
}
x = myList.Sum();
if (x == i) // test if the sum of the factors equals the number itself (in which case it is a perfect number)
{
IsPerfect = true;
}
}
Console.WriteLine(i);
}
return IsPerfect;
}
static void Main(string[] args)
{
bool IsItAPerfectNum = false;
for (int i = 2; i < 1001; i++)
{
IsItAPerfectNum = IsItPerfect(i);
Console.WriteLine(IsItAPerfectNum);
Console.ReadKey(true);
}
}
}
}
now i can cycle through all the numbers until 1000 and it displays if it's perfect or not (true or false) [which isn't what the exercise called for, but it's a step in the right direction (the exercise says that it should display only the perfect numbers)].
In any case, what's strange is that it says true at number 24, which isn't a perfect number.... http://en.wikipedia.org/wiki/Perfect_numbers#Examples
why is 24 different?
thanks very much
can you help me with the following exercise please?
Yes. Rather than showing you where your error is, I'll teach you how to find your error. Even better, the same technique will lower the chances of you causing the error in the first place.
The key here is to break the problem down into small parts where each small part can be tested independently. You have already started to do this! You have two methods: Main and IsItPerfect. You should have at least three more methods. The methods you should have are:
IsDivisor -- takes two integers, returns true if the first divides the second.
GetAllDivisors -- takes an integer, returns a list of all the divisors
Sum -- takes a list of integers, returns the sum
Your method IsPerfect should be calling GetAllDivisors and Sum and comparing the sum to the original number, and that's all it should be doing. Your method GetAllDivisors should be calling IsDivisor, and so on.
You can't find the bug easily because your method is doing too much. If you're not getting the correct result out and you have four methods instead of one then you can test each method independently to make sure that it works, or fix it if it does not.
Your first for loop will be executed exactly once.
for (int i = value; i <= value; i++)
For example for value = 6
for (int i = 6; i <= 6; i++)
Some help with the 24 issue you are having: 24 is returning true as you are actually checking if it is perfect on every additional factor. So 24 gets flipped to true here:
Factors of 24 | Total so far
1 1
2 3
3 6
4 10
6 16
8 24 <-- returns true
12 36 <-- should be false, but flag is never reset
I have just now completed the same exercise which is from a really great book called visual c# 2012 by Mr Deitel.
The way i started to tackle is, i started off with figuring out how to work out the factorials of numbers and then slowly kept building on from there.
Since you are following the same book, i would suggest you not to use things that are not covered up to that chapters exercise, like list collections which you have used, As this will make the exercise unnecessarily difficult. and negates the learning methodology set out by of the author.
here is my code which i hope can help you in some way.
class Program
{
static int factorTotal = 1;
static void Main(string[] args)
{
int count = 1;
while (count <= 10000)
{
bool isPerfect = IsPerfectNumber(count);
if (isPerfect && (factorTotal >1))
{
Console.WriteLine("Is Perfect: {0}", factorTotal);
}
factorTotal = 1;
count++;
}
} // end main
static bool IsPerfectNumber(int n)
{
int temp;
int counter = 2;
bool IsPerfect = false;
while (counter <= (n - 1))
{
temp = n % counter;
if (temp == 0) // if true than factor found
{
factorTotal = factorTotal + counter;
}
counter++;
}
if ((factorTotal) == n)
IsPerfect = true;
else
IsPerfect = false;
return IsPerfect;
}
}//end class
under the Main method of you console application copy and paste below code.
I explained few things at the end of the code...
=====================================================================
{
Console.WriteLine("perfect numbers/n");
Console.Write("Enter upper limit: ");
int iUpperLimit = int.Parse(Console.ReadLine());
string sNumbers = "";
List<int> lstFactor = new List<int>();
for(int i = 1;i<=iUpperLimit;i++)
{
for(int k = 1;k<i;k++)
{
if (i % k == 0)
{
lstFactor.Add(k); //this collect all factors
}
if (k == i-1)
{
if (lstFactor.Sum() == i) //explain1
{
sNumbers += " " + i;
lstFactor.Clear(); //explain2
break;
}
else
{
lstFactor.Clear(); //explain2
}
}
}
}
Console.WriteLine("\nperfect numbers are: " + sNumbers);
Console.ReadKey();
}
}
=======================================================================
note that i is a number that we test and k is its factors.
explain1 => we add all factors collected and check if they are equal to i (we simply check if i is perfect number)
explain2 => we have to clear our list before we can check if the next number i is a perfect number or not so that factors of the previous number does not interfere with factors of the current number.
int start=1;
int end=50;
for(int a=end ; a > start ;a--)
{
int b=1;
int c=0;
bool x=false;
for(int i=1 ; i < a ;i++)
{
b=a/i;
if(b*i==a)
{
c+=i;
}
if(c==a & i==a/2)
{
x=true;
}
}
if(x==true)
Console.Write("{0} is : {1}",a,x);
}

Prime Number Formula

I am trying to write a prime number function in C# and I am wondering if the follow code will work. It "appears" to work with the first 50 numbers or so. I just want to make sure it will work no matter how big the number is:
static bool IsPrime(int number)
{
if ((number == 2) || (number == 3) || (number == 5) || (number == 7) || (number == 9))
return true;
if ((number % 2 != 0) && (number % 3 != 0) && (number % 5 != 0) &&
(number % 7 != 0) && (number % 9 != 0) && (number % 4 != 0) &&
(number % 6 != 0))
return true;
return false;
}
No it won't work! Try 121 = 11 * 11 for example which obviously isn't a prime.
For any number given to your function, that is a product of the prime numbers X1, X2, ..., Xn(where n >= 2) with all of them being greater or equal to 11, your function will return true. (And also, as already said, 9 isn't a prime).
From wikipedia you can see that:
In mathematics, a prime number (or a prime) is a natural number that has exactly two distinct natural number divisors: 1 and itself.
so a very simple and naive algorithm on checking whether a number is prime could be:
public bool CalcIsPrime(int number) {
if (number == 1) return false;
if (number == 2) return true;
if (number % 2 == 0) return false; // Even number
for (int i = 2; i < number; i++) { // Advance from two to include correct calculation for '4'
if (number % i == 0) return false;
}
return true;
}
For better algorithms check here: Primality Test
If you want to check your code, do inlcude a test, here's a test case written in xunit.
[Theory]
[MemberData(nameof(PrimeNumberTestData))]
public void CalcIsPrimeTest(int number, bool expected) {
Assert.Equal(expected, CalcIsPrime(number));
}
public static IEnumerable<object[]> PrimeNumberTestData() {
yield return new object[] { 0, false };
yield return new object[] { 1, false };
yield return new object[] { 2, true };
yield return new object[] { 3, true };
yield return new object[] { 4, false };
yield return new object[] { 5, true };
yield return new object[] { 6, false };
yield return new object[] { 7, true };
yield return new object[] { 8, false };
yield return new object[] { 9, false };
yield return new object[] { 10, false };
yield return new object[] { 11, true };
yield return new object[] { 23, true };
yield return new object[] { 31, true };
yield return new object[] { 571, true };
yield return new object[] { 853, true };
yield return new object[] { 854, false };
yield return new object[] { 997, true };
yield return new object[] { 999, false };
}
It had to be done...
public static bool IsPrime(this int number)
{
return (Enumerable.Range(1,number).Where(x => number % x == 0).Count() == 2);
}
This approach definitely won't work, unless your if statement explicitly enumerates all the prime numbers between 0 and sqrt(INT_MAX) (or the C# equivalent).
To properly check for primality, you basically need to attempt to divide your number by every prime number less than its square root. The Sieve of Eratosthenes algorithm is your best bet.
You are apparently writing from a contrafactual dimension where 9 is a prime number, so I guess that our answers might not work for you. Two things though:
Prime number generating functions are a non-trivial but exiting matter, the Wikipedia page is a good starter (http://en.wikipedia.org/wiki/Formula_for_primes)
from (number%2!=0) it follows (number%4!=0). If you can't divide by 10, then you can't divide by 100 either.
Primality testing is the way to go, but in case you want a quick and dirty hack, here's something.
If it's not working fast enough, you can build a class around it and store the PrimeNumbers collection from call to call, rather than repopulating it for each call.
public bool IsPrime(int val)
{
Collection<int> PrimeNumbers = new Collection<int>();
int CheckNumber = 5;
bool divisible = true;
PrimeNumbers.Add(2);
PrimeNumbers.Add(3);
// Populating the Prime Number Collection
while (CheckNumber < val)
{
foreach (int i in PrimeNumbers)
{
if (CheckNumber % i == 0)
{
divisible = false;
break;
}
if (i * i > CheckNumber) { break; }
}
if (divisible == true) { PrimeNumbers.Add(CheckNumber); }
else { divisible = true; }
CheckNumber += 2;
}
foreach (int i in PrimeNumbers)
{
if (CheckNumber % i == 0)
{
divisible = false;
break;
}
if (i * i > CheckNumber) { break; }
}
if (divisible == true) { PrimeNumbers.Add(CheckNumber); }
else { divisible = true; }
// Use the Prime Number Collection to determine if val is prime
foreach (int i in PrimeNumbers)
{
if (val % i == 0) { return false; }
if (i * i > val) { return true; }
}
// Shouldn't ever get here, but needed to build properly.
return true;
}
There are some basic rules you can follow to check if a number is prime
Even numbers are out. If x % 2 = 0, then it is not prime
All non-prime numbers have prime factors. Therefore, you only need test a number against primes to see if it factors
The highest possible factor any number has is it's square root. You only need to check if values <= sqrt(number_to_check) are even divisible.
Using that set of logic, the following formula calculates 1,000,000 Primes Generated in: 134.4164416 secs in C# in a single thread.
public IEnumerable<long> GetPrimes(int numberPrimes)
{
List<long> primes = new List<long> { 1, 2, 3 };
long startTest = 3;
while (primes.Count() < numberPrimes)
{
startTest += 2;
bool prime = true;
for (int pos = 2; pos < primes.Count() && primes[pos] <= Math.Sqrt(startTest); pos++)
{
if (startTest % primes[pos] == 0)
{
prime = false;
}
}
if (prime)
primes.Add(startTest);
}
return primes;
}
Bear in mind, there is lots of room for optimization in the algorithm. For example, the algorithm could be parallelized. If you have a prime number (let's say 51), you can test all the numbers up to it's square (2601) for primeness in seperate threads as all it's possible prime factors are stored in the list.
static List<long> PrimeNumbers = new List<long>();
static void Main(string[] args)
{
PrimeNumbers.Add(2);
PrimeNumbers.Add(3);
PrimeNumbers.Add(5);
PrimeNumbers.Add(7);
for (long i = 11; i < 10000000; i += 2)
{
if (i % 5 != 0)
if (IsPrime(i))
PrimeNumbers.Add(i);
}
}
static bool IsPrime(long number)
{
foreach (long i in PrimeNumbers)
{
if (i <= Math.Sqrt(number))
{
if (number % i == 0)
return false;
}
else
break;
}
return true;
}
this is a simple one
only odd numbers are prime....so
static bool IsPrime(int number)
{
int i;
if(number==2)
return true; //if number is 2 then it will return prime
for(i=3,i<number/2;i=i+2) //i<number/2 since a number cannot be
{ //divided by more then its half
if(number%i==0) //if number is divisible by i, then its not a prime
return false;
}
return true; //the code will only reach here if control
} //is not returned false in the for loop
This is a simple code for find prime number depend on your input.
static void Main(string[] args)
{
String input = Console.ReadLine();
long num = Convert.ToInt32(input);
long a, b, c;
c = 2;
for(long i=3; i<=num; i++){
b = 0;
for (long j = 2; j < i ; j++) {
a = i % j;
if (a != 0) {
b = b+1;
}
else {
break;
}
}
if(b == i-2){
Console.WriteLine("{0}",i);
}
}
Console.ReadLine();
}
ExchangeCore Forums have a good bit of code that will pretty much let you generate any ulong number for primes. But basically here's the gist:
int primesToFind = 1000;
int[] primes = new int[primesToFind];
int primesFound = 1;
primes[0] = 2;
for(int i = 3; i < int.MaxValue() && primesFound < primesToFind; i++)
{
bool isPrime = true;
double sqrt = Math.sqrt(i);
for(int j = 0; j<primesFound && primes[j] <= sqrt; j++)
{
if(i%primes[j] == 0)
{
isPrime = false;
break;
}
}
if(isPrime)
primes[primesFound++] = i;
}
Once this code has finished running your primes will all be found in the primes array variable.
https://www.khanacademy.org/computing/computer-science/cryptography/comp-number-theory/a/trial-division
public static bool isPrime(int number)
{
for (int k = 2; k <= Math.Ceiling(Math.Sqrt(number)); k++)
{
if (number > k && number % k == 0)
break;
if (k >= Math.Ceiling(Math.Sqrt(number)) || number == k)
{
return true;
}
}
return false;
}
Prime Numbers from 0 - 1 Million in less than two tenths of a second
Just finished it. Last test was 0.017 seconds.
Regular HP Laptop. 2.1 GHz
It takes longer when it gets larger. For primes 1 - 1 billion , my last test was 28.6897 seconds. It might be faster in your program because I was casting class objects to get parameter values in mine.
Method Info
Uses the Sieve of Eratosthenes
Accepts floor and ceiling as arguments
Uses arrays instead of lists for fast performance
Size of array is initialized according to Rosser-Schoenfeld upper bound
Skips multiples of 2, 5, and 7 when assigning values
Max range is between 0 and 2,147,483,646 (1 min 44.499 s)
Heavily commented
Using
using System;
using System.Diagnostics;
using System.Collections;
Method
private static int[] GetPrimeArray(int floor, int ceiling)
{
// Validate arguments.
if (floor > int.MaxValue - 1)
throw new ArgumentException("Floor is too high. Max: 2,147,483,646");
else if (ceiling > int.MaxValue - 1)
throw new ArgumentException("Ceiling is too high. Max: 2,147,483,646");
else if (floor < 0)
throw new ArgumentException("Floor must be a positive integer.");
else if (ceiling < 0)
throw new ArgumentException("Ceiling must be a positve integer.");
else if (ceiling < floor)
throw new ArgumentException("Ceiling cannot be less than floor.");
// This region is only useful when testing performance.
#region Performance
Stopwatch sw = new Stopwatch();
sw.Start();
#endregion
// Variables:
int stoppingPoint = (int)Math.Sqrt(ceiling);
double rosserBound = (1.25506 * (ceiling + 1)) / Math.Log(ceiling + 1, Math.E);
int[] primeArray = new int[(int)rosserBound];
int primeIndex = 0;
int bitIndex = 4;
int innerIndex = 3;
// Handle single digit prime ranges.
if (ceiling < 11)
{
if (floor <= 2 && ceiling >= 2) // Range includes 2.
primeArray[primeIndex++] = 2;
if (floor <= 3 && ceiling >= 3) // Range includes 3.
primeArray[primeIndex++] = 3;
if (floor <= 5 && ceiling >= 5) // Range includes 5.
primeArray[primeIndex++] = 5;
return primeArray;
}
// Begin Sieve of Eratosthenes. All values initialized as true.
BitArray primeBits = new BitArray(ceiling + 1, true);
primeBits.Set(0, false); // Zero is not prime.
primeBits.Set(1, false); // One is not prime.
checked // Check overflow.
{
try
{
// Set even numbers, excluding 2, to false.
for (bitIndex = 4; bitIndex < ceiling; bitIndex += 2)
primeBits[bitIndex] = false;
}
catch { } // Break for() if overflow occurs.
}
// Iterate by steps of two in order to skip even values.
for (bitIndex = 3; bitIndex <= stoppingPoint; bitIndex += 2)
{
if (primeBits[bitIndex] == true) // Is prime.
{
// First position to unset is always the squared value.
innerIndex = bitIndex * bitIndex;
primeBits[innerIndex] = false;
checked // Check overflow.
{
try
{
// Set multiples of i, which are odd, to false.
innerIndex += bitIndex + bitIndex;
while (innerIndex <= ceiling)
{
primeBits[innerIndex] = false;
innerIndex += bitIndex + bitIndex;
}
}
catch { continue; } // Break while() if overflow occurs.
}
}
}
// Set initial array values.
if (floor <= 2)
{
// Range includes 2 - 5.
primeArray[primeIndex++] = 2;
primeArray[primeIndex++] = 3;
primeArray[primeIndex++] = 5;
}
else if (floor <= 3)
{
// Range includes 3 - 5.
primeArray[primeIndex++] = 3;
primeArray[primeIndex++] = 5;
}
else if (floor <= 5)
{
// Range includes 5.
primeArray[primeIndex++] = 5;
}
// Increment values that skip multiples of 2, 3, and 5.
int[] increment = { 6, 4, 2, 4, 2, 4, 6, 2 };
int indexModulus = -1;
int moduloSkipAmount = (int)Math.Floor((double)(floor / 30));
// Set bit index to increment range which includes the floor.
bitIndex = moduloSkipAmount * 30 + 1;
// Increase bit and increment indicies until the floor is reached.
for (int i = 0; i < increment.Length; i++)
{
if (bitIndex >= floor)
break; // Floor reached.
// Increment, skipping multiples of 2, 3, and 5.
bitIndex += increment[++indexModulus];
}
// Initialize values of return array.
while (bitIndex <= ceiling)
{
// Add bit index to prime array, if true.
if (primeBits[bitIndex])
primeArray[primeIndex++] = bitIndex;
checked // Check overflow.
{
try
{
// Increment. Skip multiples of 2, 3, and 5.
indexModulus = ++indexModulus % 8;
bitIndex += increment[indexModulus];
}
catch { break; } // Break if overflow occurs.
}
}
// Resize array. Rosser-Schoenfeld upper bound of π(x) is not an equality.
Array.Resize(ref primeArray, primeIndex);
// This region is only useful when testing performance.
#region Performance
sw.Stop();
if (primeArray.Length == 0)
Console.WriteLine("There are no prime numbers between {0} and {1}",
floor, ceiling);
else
{
Console.WriteLine(Environment.NewLine);
for (int i = 0; i < primeArray.Length; i++)
Console.WriteLine("{0,10}:\t\t{1,15:#,###,###,###}", i + 1, primeArray[i]);
}
Console.WriteLine();
Console.WriteLine("Calculation time:\t{0}", sw.Elapsed.ToString());
#endregion
return primeArray;
}
Comments are welcome! Especially improvements.
Here we must have to consider the square root factor. A prime number can be verified if it is not divisible by any number less than the value of square root of any near number.
static bool isPrime(long number)
{
if (number == 1) return false;
if (number == 2) return true;
if (number % 2 == 0) return false; //Even number
long nn= (long) Math.Abs(Math.Sqrt(number));
for (long i = 3; i < nn; i += 2) {
if (number % i == 0) return false;
}
return true;
}

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