# Python: Find the nth super ugly number from a given prime list of size k using Heap queue algorithm

## Python heap queue algorithm: Exercise-13 with Solution

Write a Python program to find the nth super ugly number from a given prime list of size k using the heap queue algorithm.

Super ugly numbers are positive numbers whose all prime factors are in the given prime list primes of size k. For example, [1, 2, 4, 7, 8, 13, 14, 16, 19, 26, 28, 32] is the sequence of the first 12 super ugly numbers given primes = [2, 7, 13, 19] of size 4.

**Sample Solution**:

**Python Code:**

```
import heapq
#Ref.: https://bit.ly/32c9P3A
def nth_Super_Ugly_Number(n, primes):
uglies = [1]
def gen(prime):
for ugly in uglies:
yield ugly * prime
merged = heapq.merge(*map(gen, primes))
while len(uglies) < n:
ugly = next(merged)
if ugly != uglies[-1]:
uglies.append(ugly)
return uglies[-1]
n = 12
primes = [2,7,13,19]
print(nth_Super_Ugly_Number(n, primes))
```

Sample Output:

32

**Flowchart:**

**Python Code Editor:**

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**Previous:** Given a n x n matrix where each of the rows and columns are sorted in ascending order, write a Python program to find the kth smallest element in the matrix.

** Next:** Write a Python program to get the k most frequent elements from a given non-empty list of words using Heap queue algorithm.

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