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Driver Code
if __name__ == ' _ _ main _ _ ' : NEW_LINE
Given Input
A = [ 5 , 4 , 3 , 1 , 2 ] NEW_LINE K = 3 NEW_LINE N = len ( A ) NEW_LINE print ( MinimumOperations ( A , N , K ) ) NEW_LINE
python 3 program for the above approach Function to check prime .
from math import sqrt NEW_LINE
Function to check prime .
def is_prime ( n ) : NEW_LINE INDENT if ( n == 1 ) : NEW_LINE INDENT return False NEW_LINE DEDENT for i in range ( 2 , int ( sqrt ( n ) ) + 1 , 1 ) : NEW_LINE INDENT if ( n % i == 0 ) : NEW_LINE DEDENT DEDENT
It means it is not a prime
return False NEW_LINE
No factor other than 1 therefore prime number
return True NEW_LINE
Function to find out the required consecutive primes .
def consecutive_primes ( n ) : NEW_LINE INDENT first = - 1 NEW_LINE second = - 1 NEW_LINE DEDENT
Finding first prime just less than sqrt ( n ) .
i = int ( sqrt ( n ) ) NEW_LINE while ( i >= 2 ) : NEW_LINE INDENT if ( is_prime ( i ) ) : NEW_LINE INDENT first = i NEW_LINE break NEW_LINE DEDENT i -= 1 NEW_LINE DEDENT
Finding prime just greater than sqrt ( n ) .
for i in range ( int ( sqrt ( n ) ) + 1 , n // 2 + 1 , 1 ) : NEW_LINE INDENT if ( is_prime ( i ) ) : NEW_LINE INDENT second = i NEW_LINE break NEW_LINE DEDENT DEDENT
Product of both prime is greater than n then print it
if ( first * second >= n ) : NEW_LINE INDENT print ( first , second ) NEW_LINE DEDENT
Finding prime greater than second
else : NEW_LINE INDENT for i in range ( second + 1 , n + 1 , 1 ) : NEW_LINE INDENT if ( is_prime ( i ) ) : NEW_LINE INDENT print ( second , i ) NEW_LINE return NEW_LINE DEDENT DEDENT DEDENT
Driver Program
if __name__ == ' _ _ main _ _ ' : NEW_LINE INDENT n = 14 NEW_LINE consecutive_primes ( n ) NEW_LINE DEDENT
Python program to implement the above approach
from collections import Counter NEW_LINE
Function to construct the original set of digits from the string in ascending order
def construct_digits ( s ) : NEW_LINE
Store the unique characters corresponding to word and number
k = [ " z " , " w " , " u " , " x " , " g " , " h " , " o " , " f " , " v " , " i " ] NEW_LINE l = [ " zero " , " two " , " four " , " six " , " eight " , " three " , " one " , " five " , " seven " , " nine " ] NEW_LINE c = [ 0 , 2 , 4 , 6 , 8 , 3 , 1 , 5 , 7 , 9 ] NEW_LINE
Store the required result
ans = [ ] NEW_LINE
Store the frequency of each character of S
d = Counter ( s ) NEW_LINE
Traverse the unique characters
for i in range ( len ( k ) ) : NEW_LINE
Store the count of k [ i ] in S
x = d . get ( k [ i ] , 0 ) NEW_LINE
Traverse the corresponding word
for j in range ( len ( l [ i ] ) ) : NEW_LINE
Decrement the frequency of characters by x
d [ l [ i ] [ j ] ] -= x NEW_LINE
Append the digit x times to ans
ans . append ( str ( c [ i ] ) * x ) NEW_LINE
Sort the digits in ascending order
ans . sort ( ) NEW_LINE return " " . join ( ans ) NEW_LINE
Given string , s
s = " fviefuro " NEW_LINE
Function Call
print ( construct_digits ( s ) ) NEW_LINE
Function to count minimum number of operations required
n = 3 NEW_LINE m = 3 NEW_LINE def countDecrements ( arr ) : NEW_LINE INDENT count_1 = 0 NEW_LINE count_2 = 0 NEW_LINE for i in range ( n ) : NEW_LINE INDENT for j in range ( m ) : NEW_LINE DEDENT DEDENT
Case 1 :
if ( ( i + j ) % 2 == arr [ i ] [ j ] % 2 ) : NEW_LINE INDENT count_1 += 1 NEW_LINE DEDENT
Case 2 :
if ( 1 - ( i + j ) % 2 == arr [ i ] [ j ] % 2 ) : NEW_LINE INDENT count_2 += 1 NEW_LINE DEDENT
Print the minimum number of operations required
print ( min ( count_1 , count_2 ) ) NEW_LINE
The given matrix
arr = [ [ 1 , 2 , 3 ] , [ 1 , 2 , 3 ] , [ 1 , 2 , 3 ] ] NEW_LINE
Function Call to count the minimum number of decrements required
countDecrements ( arr ) NEW_LINE
Function to check if X can be made equal to Y by converting X to ( 3 * X / 2 ) or ( X - 1 )
def check ( X , Y ) : NEW_LINE
Conditions for possible conversion
if ( X > 3 ) : NEW_LINE INDENT print ( " Yes " ) NEW_LINE DEDENT elif ( X == 1 and Y == 1 ) : NEW_LINE INDENT print ( " Yes " ) NEW_LINE DEDENT elif ( X == 2 and Y <= 3 ) : NEW_LINE INDENT print ( " Yes " ) NEW_LINE DEDENT elif ( X == 3 and Y <= 3 ) : NEW_LINE INDENT print ( " Yes " ) NEW_LINE DEDENT
Otherwise , conversion is not possible
else : NEW_LINE INDENT print ( " No " ) NEW_LINE DEDENT
Driver Code
if __name__ == ' _ _ main _ _ ' : NEW_LINE INDENT X = 6 NEW_LINE Y = 8 NEW_LINE check ( X , Y ) NEW_LINE DEDENT
Function to count distinct sum of pairs possible from the range [ L , R ]
def distIntegers ( L , R ) : NEW_LINE
Return the count of distinct sum of pairs
return 2 * R - 2 * L + 1 NEW_LINE
Driver Code
if __name__ == ' _ _ main _ _ ' : NEW_LINE INDENT L , R = 3 , 8 NEW_LINE print ( distIntegers ( L , R ) ) NEW_LINE DEDENT
Function to count subarrays having even Bitwise XOR
def evenXorSubarray ( arr , n ) : NEW_LINE
Store the required result
ans = 0 NEW_LINE
Stores count of subarrays with even and odd XOR values
freq = [ 0 ] * n NEW_LINE
Stores Bitwise XOR of current subarray
XOR = 0 NEW_LINE
Traverse the array
for i in range ( n ) : NEW_LINE
Update current Xor
XOR = XOR ^ arr [ i ] NEW_LINE
If XOR is even
if ( XOR % 2 == 0 ) : NEW_LINE
Update ans
ans += freq [ 0 ] + 1 NEW_LINE
Increment count of subarrays with even XOR
freq [ 0 ] += 1 NEW_LINE else : NEW_LINE
Otherwise , increment count of subarrays with odd XOR
ans += freq [ 1 ] NEW_LINE freq [ 1 ] += 1 NEW_LINE
Print the result
print ( ans ) NEW_LINE
Given array
arr = [ 1 , 2 , 3 , 4 ] NEW_LINE
Stores the size of the array
N = len ( arr ) NEW_LINE evenXorSubarray ( arr , N ) NEW_LINE
Python3 program for the above approach
from math import sqrt NEW_LINE
Function to count the occurrences of X in the generated square matrix
def countOccurrences ( N , X ) : NEW_LINE
Stores the required result
count = 0 NEW_LINE
Iterate upto square root of X
for i in range ( 1 , int ( sqrt ( X ) ) + 1 ) : NEW_LINE
Check if i divides X
if X % i == 0 : NEW_LINE
Store the quotient obtained on dividing X by i
a = i NEW_LINE b = X // i NEW_LINE
If both the numbers fall in the range , update count
if a <= N and b <= N : NEW_LINE INDENT if a == b : NEW_LINE INDENT count += 1 NEW_LINE DEDENT else : NEW_LINE INDENT count += 2 NEW_LINE DEDENT DEDENT
Return the result
return count NEW_LINE
Driver Code
if __name__ == ' _ _ main _ _ ' : NEW_LINE
Given N and X
N = 7 NEW_LINE X = 12 NEW_LINE
Function Call
print ( countOccurrences ( N , X ) ) NEW_LINE
Function to find array with maximum product by changing array elements to ( - 1 ) arr [ i ] - 1
def findArrayWithMaxProduct ( arr , N ) : NEW_LINE
Traverse the array
for i in range ( N ) : NEW_LINE
Applying the operation on all the positive elements
if ( arr [ i ] >= 0 ) : NEW_LINE INDENT arr [ i ] = - arr [ i ] - 1 NEW_LINE DEDENT if ( N % 2 == 1 ) : NEW_LINE
Stores maximum element in array
max_element = - 1 NEW_LINE
Stores index of maximum element
index = - 1 NEW_LINE for i in range ( N ) : NEW_LINE
Check if current element is greater than the maximum element
if ( abs ( arr [ i ] ) > max_element ) : NEW_LINE INDENT max_element = abs ( arr [ i ] ) NEW_LINE DEDENT
Find index of the maximum element
index = i NEW_LINE
Perform the operation on the maximum element
arr [ index ] = - arr [ index ] - 1 NEW_LINE
Prthe elements of the array
for i in arr : NEW_LINE INDENT print ( i , end = " ▁ " ) NEW_LINE DEDENT
Driver Code
if __name__ == ' _ _ main _ _ ' : NEW_LINE INDENT arr = [ - 3 , 0 , 1 ] NEW_LINE N = len ( arr ) NEW_LINE DEDENT
Function Call
findArrayWithMaxProduct ( arr , N ) NEW_LINE
Function to print the lexicographically smallest permutation with K perfect indices
def findPerfectIndex ( N , K ) : NEW_LINE
Iterator to traverse the array
i = 0 NEW_LINE
Traverse first K array indices
for i in range ( K ) : NEW_LINE INDENT print ( ( N - K + 1 ) + i , end = " ▁ " ) NEW_LINE DEDENT
Traverse remaining indices
for i in range ( 3 , N ) : NEW_LINE INDENT print ( i - K + 1 , end = " ▁ " ) NEW_LINE DEDENT
Driver Code
N = 10 NEW_LINE K = 3 NEW_LINE findPerfectIndex ( N , K ) NEW_LINE
Function to count pairs made up of elements from the range [ L , R ] having distinct sum
def countPairs ( L , R ) : NEW_LINE
Stores the least sum which can be formed by the pairs
firstNum = 2 * L NEW_LINE
Stores the highest sum which can be formed by the pairs
lastNum = 2 * R NEW_LINE
Stores the count of pairs having distinct sum
Cntpairs = lastNum - firstNum + 1 NEW_LINE
Print the count of pairs
print ( Cntpairs ) NEW_LINE
Driver Code
if __name__ == ' _ _ main _ _ ' : NEW_LINE INDENT L , R = 2 , 3 NEW_LINE DEDENT
Function call to count the number of pairs having distinct sum in the range [ L , R ]
countPairs ( L , R ) NEW_LINE
Python 3 program for the above approach
from collections import defaultdict NEW_LINE
Function to count the number of pairs ( i , j ) their Bitwise OR is greater than Bitwise AND
def countPairs ( A , n ) : NEW_LINE
Total number of pairs possible from the array
count = ( n * ( n - 1 ) ) // 2 NEW_LINE
Stores frequency of each array element
ump = defaultdict ( int ) NEW_LINE
Traverse the array A [ ]
for i in range ( n ) : NEW_LINE
Increment ump [ A [ i ] ] by 1
ump [ A [ i ] ] += 1 NEW_LINE
Traverse the Hashmap ump
for it in ump . keys ( ) : NEW_LINE
Subtract those pairs ( i , j ) from count which has the same element on index i and j ( i < j )
c = ump [ it ] NEW_LINE count = count - ( c * ( c - 1 ) ) // 2 NEW_LINE
Print the result
print ( count ) NEW_LINE
Driver Code
if __name__ == " _ _ main _ _ " : NEW_LINE INDENT A = [ 1 , 4 , 7 ] NEW_LINE N = len ( A ) NEW_LINE DEDENT
Function Call
countPairs ( A , N ) NEW_LINE
Function to construct binary string according to the given conditions
def constructBinaryString ( arr , N , K ) : NEW_LINE
Initialize with 1
bit = 1 NEW_LINE
Traverse the array
for i in range ( 0 , N ) : NEW_LINE
To check if the i - th eger needs to be considered or not
bit |= bit << arr [ i ] NEW_LINE