UINT itemLength = strValue.length();
bRet = ( ( itemLength > maxLength ) || ( itemLength < minLength ) ) ? VARIANT_FALSE : VARIANT_TRUE;
This code is being used for Length validation.
I want to validate number:
For Ex:
min value = 0, Max value =10, original value = 5
In this condition i want to check only whole number.
For Ex, I want to display following:
Input -> Output
5 -> True
5.1 -> False i want to display.
assuming f as precision number try this
if (f % (int)f > 0)
{
Console.WriteLine("is not whole number");
}
else
{
Console.WriteLine("is whole number");
}
Related
I have a float value and a list of float values where I want to compare the float value with list and find out the greater value than the float value and greater than the whole number of the float value with the list.
Eg:
cv = 1.5
av = [1.1,1.5,1.7,1.9,1.11,2.1,2.5]
Current code :
versions = av.findAll {
def isVersionGreater
it.indexed().any { i, v ->
if (cv[i] == v) return false
isVersionGreater = v > (cv[i] ?: 0)
return true
}
return isVersionGreater
}
versions.removeAll { it[0] > cv[0] }
versions.collect { it.join('.') }
which prints [1.7,1.9,1.11], but I don't want the value with 1, I want to compare and find out only [2.1,2.5] not the other values.
Note: I am collecting the variables av and cv as below
av = output2.tokenize().collect { it.tokenize('.').collect { it as int } }
cv = output.tokenize().collect { it.tokenize('.').collect { it as int } }.first()
Could someone help me to achieve this using groovy?
Use <= instead of >:
versions.removeAll { it[0] <= cv[0] }
print versions.collect { it.join('.') }
It means remove all from it where its first value is less or equal to first value of cv.
Output:
[2.1, 2.5]
I am making a program in SCALA that takes a integer number and reverses it. For example, an input of 30 returns an output of 3. This program must also work for negative numbers, For instance, an input of -89 returns an output of -98. Also, if in the reversal the first digit is 0, it should be truncated (30 to 3). This is the code I have written.
import io.StdIn._
val twoDigitNumber : Int = takeInput()
println("The reversal is " + reverse(twoDigitNumber))
//define a function name reverse to handle the actual reverse process for -ve and +ve numbers
def reverse(x: Integer): Integer = {
//4 possibilities: +ve, 1st digit 0; -ve, 1st digit zero; -ve, 1st digit not zero; +ve, 1st digit not zero
if (x> 0 && x.toString.reverse.charAt(0) == 0) {
x.toString.reverse.substring(1).toInt
} else if (x<0 && x.toString.substring(1).reverse.charAt(0) == 0) {
('-' + x.toString.substring(1).reverse.substring(1)).toInt
} else if (x<0 && x.toString.substring(1).reverse.charAt(0)!= 0) {
('-'+ x.toString.substring(1).reverse).toInt
} else {
x.toString.reverse.toInt
}
}
//reads an integer number
def takeInput() : Int ={
print("Enter a two-digit integer number: ")
readInt()
}
Is there a more efficient way to do this?
The shortest I found:
x.signum * x.abs.toString.reverse.toInt
It can be like below considering x is your integer input:
val reverseOutput = if (x>0) x.toString.reverse.toInt else -1* ((x * -1).toString.reverse.toInt)
def reverseANumber(n: Int): Int = {
def _reverseANumber(i: Int, i1: Int): Int = i match
case 0 => i1
case i =>
val n = i % 10
val n1 = n * math.pow(10, (((math.log10(i) + 1).toInt) - 1)).toInt
_reverseANumber(i / 10, i1 + n1)
_reverseANumber(n, 0)
}
We need to find the maximum element in an array which is also equal to product of two elements in the same array. For example [2,3,6,8] , here 6=2*3 so answer is 6.
My approach was to sort the array and followed by a two pointer method which checked whether the product exist for each element. This is o(nlog(n)) + O(n^2) = O(n^2) approach. Is there a faster way to this ?
There is a slight better solution with O(n * sqrt(n)) if you are allowed to use O(M) memory M = max number in A[i]
Use an array of size M to mark every number while you traverse them from smaller to bigger number.
For each number try all its factors and see if those were already present in the array map.
Here is a pseudo code for that:
#define M 1000000
int array_map[M+2];
int ans = -1;
sort(A,A+n);
for(i=0;i<n;i++) {
for(j=1;j<=sqrt(A[i]);j++) {
int num1 = j;
if(A[i]%num1==0) {
int num2 = A[i]/num1;
if(array_map[num1] && array_map[num2]) {
if(num1==num2) {
if(array_map[num1]>=2) ans = A[i];
} else {
ans = A[i];
}
}
}
}
array_map[A[i]]++;
}
There is an ever better approach if you know how to find all possible factors in log(M) this just becomes O(n*logM). You have to use sieve and backtracking for that
#JerryGoyal 's solution is correct. However, I think it can be optimized even further if instead of using B pointer, we use binary search to find the other factor of product if arr[c] is divisible by arr[a]. Here's the modification for his code:
for(c=n-1;(c>1)&& (max==-1);c--){ // loop through C
for(a=0;(a<c-1)&&(max==-1);a++){ // loop through A
if(arr[c]%arr[a]==0) // If arr[c] is divisible by arr[a]
{
if(binary_search(a+1, c-1, (arr[c]/arr[a]))) //#include<algorithm>
{
max = arr[c]; // if the other factor x of arr[c] is also in the array such that arr[c] = arr[a] * x
break;
}
}
}
}
I would have commented this on his solution, unfortunately I lack the reputation to do so.
Try this.
Written in c++
#include <vector>
#include <algorithm>
using namespace std;
int MaxElement(vector< int > Input)
{
sort(Input.begin(), Input.end());
int LargestElementOfInput = 0;
int i = 0;
while (i < Input.size() - 1)
{
if (LargestElementOfInput == Input[Input.size() - (i + 1)])
{
i++;
continue;
}
else
{
if (Input[i] != 0)
{
LargestElementOfInput = Input[Input.size() - (i + 1)];
int AllowedValue = LargestElementOfInput / Input[i];
int j = 0;
while (j < Input.size())
{
if (Input[j] > AllowedValue)
break;
else if (j == i)
{
j++;
continue;
}
else
{
int Product = Input[i] * Input[j++];
if (Product == LargestElementOfInput)
return Product;
}
}
}
i++;
}
}
return -1;
}
Once you have sorted the array, then you can use it to your advantage as below.
One improvement I can see - since you want to find the max element that meets the criteria,
Start from the right most element of the array. (8)
Divide that with the first element of the array. (8/2 = 4).
Now continue with the double pointer approach, till the element at second pointer is less than the value from the step 2 above or the match is found. (i.e., till second pointer value is < 4 or match is found).
If the match is found, then you got the max element.
Else, continue the loop with next highest element from the array. (6).
Efficient solution:
2 3 8 6
Sort the array
keep 3 pointers C, B and A.
Keeping C at the last and A at 0 index and B at 1st index.
traverse the array using pointers A and B till C and check if A*B=C exists or not.
If it exists then C is your answer.
Else, Move C a position back and traverse again keeping A at 0 and B at 1st index.
Keep repeating this till you get the sum or C reaches at 1st index.
Here's the complete solution:
int arr[] = new int[]{2, 3, 8, 6};
Arrays.sort(arr);
int n=arr.length;
int a,b,c,prod,max=-1;
for(c=n-1;(c>1)&& (max==-1);c--){ // loop through C
for(a=0;(a<c-1)&&(max==-1);a++){ // loop through A
for(b=a+1;b<c;b++){ // loop through B
prod=arr[a]*arr[b];
if(prod==arr[c]){
System.out.println("A: "+arr[a]+" B: "+arr[b]);
max=arr[c];
break;
}
if(prod>arr[c]){ // no need to go further
break;
}
}
}
}
System.out.println(max);
I came up with below solution where i am using one array list, and following one formula:
divisor(a or b) X quotient(b or a) = dividend(c)
Sort the array.
Put array into Collection Col.(ex. which has faster lookup, and maintains insertion order)
Have 2 pointer a,c.
keep c at last, and a at 0.
try to follow (divisor(a or b) X quotient(b or a) = dividend(c)).
Check if a is divisor of c, if yes then check for b in col.(a
If a is divisor and list has b, then c is the answer.
else increase a by 1, follow step 5, 6 till c-1.
if max not found then decrease c index, and follow the steps 4 and 5.
Check this C# solution:
-Loop through each element,
-loop and multiply each element with other elements,
-verify if the product exists in the array and is the max
private static int GetGreatest(int[] input)
{
int max = 0;
int p = 0; //product of pairs
//loop through the input array
for (int i = 0; i < input.Length; i++)
{
for (int j = i + 1; j < input.Length; j++)
{
p = input[i] * input[j];
if (p > max && Array.IndexOf(input, p) != -1)
{
max = p;
}
}
}
return max;
}
Time complexity O(n^2)
The Data:
A list of integers increasing in order (0,1,2,3,4,5.......)
A list of values that belong to those integers. As an example, 0 = 33, 1 = 45, 2 = 21, ....etc.
And an incrementing variable x which represent a minimum jump value.
x is the value of each jump. For example if x = 2, if 1 is chosen you cannot choose 2.
I need to determine the best way to choose integers, given some (x), that produce the highest total value from the value list.
EXAMPLE:
A = a set of 1 foot intervals (0,1,2,3,4,5,6,7,8,9)
B = the amount of money at each interval (9,5,7,3,2,7,8,10,21,12)
Distance = the minimum distance you can cover
- i.e. if the minimum distance is 3, you must skip 2 feet and leave the money, then you can
pick up the amount at the 3rd interval.
if you pick up at 0, the next one you can pick up is 3, if you choose 3 you can
next pick up 6 (after skipping 4 and 5). BUT, you dont have to pick up 6, you
could pick up 7 if it is worth more. You just can't pick up early.
So, how can I programmatically make the best jumps and end with the most money at the end?
So I am using the below equation for computing the opt value in the dynamic programming:
Here d is distance.
if (i -d) >= 0
opt(i) = max (opt(i-1), B[i] + OPT(i-d));
else
opt(i) = max (opt(i-1), B[i]);
Psuedo-code for computing the OPT value:
int A[] = {integers list}; // This is redundant if the integers are consecutive and are always from 0..n.
int B[] = {values list};
int i = 0;
int d = distance; // minimum distance between two picks.
int numIntegers = sizeof(A)/sizeof(int);
int opt[numIntegers];
opt[0] = B[0]; // For the first one Optimal value is picking itself.
for (i=1; i < numIntegers; i++) {
if ((i-d) < 0) {
opt[i] = max (opt[i-1], B[i]);
} else {
opt[i] = max (opt[i-1], B[i] + opt[i-d]);
}
}
EDIT based on OP's requirement about getting the selected integers from B:
for (i=numIntegres - 1; i >= 0;) {
if ((i == 0) && (opt[i] > 0)) {
printf ("%d ", i);
break;
}
if (opt[i] > opt[i-1]) {
printf ("%d ", i);
i = i -d;
} else {
i = i - 1;
}
}
If A[] does not have consecutive integers from 0 to n.
int A[] = {integers list}; // Here the integers may not be consecutive
int B[] = {values list};
int i = 0, j = 0;
int d = distance; // minimum distance between two picks.
int numAs = sizeof(A)/sizeof(int);
int numIntegers = A[numAs-1]
int opt[numIntegers];
opt[0] = 0;
if (A[0] == 0) {
opt[0] = B[0]; // For the first one Optimal value is picking itself.
j = 1;
}
for (i=1; i < numIntegers && j < numAs; i++, j++) {
if (i < A[j]) {
while (i < A[j]) {
opt[i] = opt[i -1];
i = i + 1:
}
}
if ((i-d) < 0) {
opt[i] = max (opt[i-1], B[j]);
} else {
opt[i] = max (opt[i-1], B[j] + opt[i-d]);
}
}
I am writing a piece of code in c# to retreive number of tablets for a given dosage. For example, if a Dosage is 20 mg of DrugA (if DrugA comes in 10mg, 5mg and 2mg tablets) then the code would return (2). If Dosage is 15 then the code would return (1 & 1). If a dosage is 3 then Invalid Dosage message is returned. The code must use the highest denominations first i.e. 10mg tablets and then 5mg tablets for the remainder and so on. I am using recursive function (GetDispenseBreakdownForSingleDosage) to acheive the above functionality. My code is working fine for most of the scenarios that I tested. The one scenario that it is incorrectly returning Invalid Dosage is for 8mg dosage. The code should return (4) since 2mg tablets is a valid option. I have given my code below. My questions are:
1) Is there a better way of acheiving my objective than using my code.
2) What changes should I make to avoid the trap of 8mg as invalid dosage. It is returning it invalid because code divides 8 with 5 during second recursive call and remainder becomes 3, on third recursive call 3 is not divisible by 2 so code returns invalid dosage.
My code is given below:
public string GetDispenseBreakdown(PrescriptionsBLL Prescription, double[] IndexAndNonIndexDosageForBreakdown)
{
int[] NoOfTablets = new int[Prescription.SelectedDrug.PrescriptionsDrugWeights.Count];
for (int Index = 1; Index <= IndexAndNonIndexDosageForBreakdown.Length; Index++)
{
GetDispenseBreakdownForSingleDosage(Prescription, ref NoOfTablets, IndexAndNonIndexDosageForBreakdown[(Index - 1)], Prescription.SelectedDrug.PrescriptionsDrugWeights[0].Weight, 1);//assuming that index 0 will always contain the highest weight i.e. if a drug has 2, 5, 10 as drug weights then index 0 should always contain 10 as we are sorting by Desc
}
return ConvertNumberOfTabletsIntoString(NoOfTablets);
}
public void GetDispenseBreakdownForSingleDosage(PrescriptionsBLL Prescription, ref int[] NoOfTablets, double Dosage, double Weight, int WeightCount)
{
int LoopIteration;
string TempLoopIteration = (Dosage / Weight).ToString();
if (TempLoopIteration.Contains("."))
LoopIteration = (int)Math.Floor(Dosage / Weight);
else
LoopIteration = int.Parse(TempLoopIteration);
double TempDosage = Weight * LoopIteration;
int WeightTablets = LoopIteration;
double RemainingDosage = Math.Round((Dosage - TempDosage), 2);
NoOfTablets[(WeightCount - 1)] = NoOfTablets[(WeightCount - 1)] + WeightTablets;
if (WeightCount == Prescription.SelectedDrug.PrescriptionsDrugWeights.Count && RemainingDosage > 0.0)
{
NoOfTablets[0] = -99999;//Invalid Dosage
return;
}
if (LoopIteration == 0 && Dosage > 0.0 && WeightCount == Prescription.SelectedDrug.PrescriptionsDrugWeights.Count)
{
NoOfTablets[0] = -99999;//Invalid Dosage
return;
}
if (WeightCount == Prescription.SelectedDrug.PrescriptionsDrugWeights.Count)
return;
GetDispenseBreakdownForSingleDosage(Prescription, ref NoOfTablets, RemainingDosage, Prescription.SelectedDrug.PrescriptionsDrugWeights[WeightCount].Weight, ++WeightCount);
}
public bool IsDosageValid(int[] NoOfTablets)
{
if (NoOfTablets[0] == -99999)
return false;
else
return true;
}
public string ConvertNumberOfTabletsIntoString(int[] NoOfTablets)
{
if (!IsDosageValid(NoOfTablets))
return "Dosage is Invalid";
string DispenseBreakDown = "(";
int ItemsAdded = 0;
for (int Count = 0; Count < NoOfTablets.Length; Count++)
{
if (NoOfTablets[Count] != 0)
{
if (ItemsAdded > 0)
DispenseBreakDown += " & " + NoOfTablets[Count];
else
DispenseBreakDown += NoOfTablets[Count];
ItemsAdded = ItemsAdded + 1;
}
}
DispenseBreakDown += ")";
return DispenseBreakDown;
}
This sounds like a version of the same logic required for coin change.
This site goes through that logic:
http://www.geeksforgeeks.org/dynamic-programming-set-7-coin-change/
You will also need to make a few adjustments:
You'll need to get back the possible results and accept the one that has highest number of larger pills.
You'll need to handle the possibility of no "correct change".
Here is a simple recursive method. Pass it the desired dosage and an empty list:
// Test if 2 floats are "equal", the difference between them
// is less than some predefined value (epsilon)
bool floatIsEqual(float f1, float f2)
{
float epsilon = 0.001f;
return Math.Abs(f1 - f2) <= epsilon;
}
static bool CalcDose(float desired, List<float> list)
{
// Order of array is important. Larger values will be attempted first
float[] sizes = new float[] { 8, 2, .4f, .2f };
// This path isn't working, return
if (desired < sizes[sizes.Length - 1])
{
return false;
}
// Try all combos
for (int i = 0; i < sizes.Length; i++)
{
if (floatIsEqual(desired, sizes[i]))
{
// Final step: perfect match
list.Add(sizes[i]);
return true;
}
if (sizes[i] <= desired)
{
// Attempt recursive call
if (true == CalcDose( desired - sizes[i], list))
{
// Success
list.Add(sizes[i]);
return true;
}
else break;
}
}
return false;
}