def sum_Of_Series(n):
    sum = 0
    for i in range(1,n + 1):
        sum += i * i*i
    return sum

You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:

assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
[BEGIN]
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests:

assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
[BEGIN]
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
[DONE]

You are an expert Python programmer, and here is your task: Write a function to find the largest integers from a given list of numbers using heap queue algorithm. Your code should pass these tests:

assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]
[BEGIN]
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to find the cube sum of first n natural numbers. Your code should pass these tests:

assert sum_Of_Series(5) == 225
assert sum_Of_Series(2) == 9
assert sum_Of_Series(3) == 36
[BEGIN]

def sum_Of_Series(n):
  total = 0
  for i in range(1, n+1):
    total += i**3
  return total
[DON


def re_order(A):
    k = 0
    for i in A:
        if i:
            A[k] = i
            k = k + 1
    for i in range(k, len(A)):
        A[i] = 0
    return A

You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:

assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
[BEGIN]
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests:

assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
[BEGIN]
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
[DONE]

You are an expert Python programmer, and here is your task: Write a function to find the largest integers from a given list of numbers using heap queue algorithm. Your code should pass these tests:

assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]
[BEGIN]
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
[DONE]

You are an expert Python programmer, and here is your task: Write a function to move all zeroes to the end of the given array. Your code should pass these tests:

assert re_order([6, 0, 8, 2, 3, 0, 4, 0, 1]) == [6, 8, 2, 3, 4, 1, 0, 0, 0]
assert re_order([4, 0, 2, 7, 0, 9, 0, 12, 0]) == [4, 2, 7, 9, 12, 0, 0, 0, 0]
assert re_order([3, 11, 0, 74, 14, 0, 1, 0, 2]) == [3, 11, 74, 14, 1, 2, 0, 0, 0]
[BEGIN]

def re_order(arr):
  non_zero = [x for x in arr if x != 0]
  zero = [x for x in arr if x == 0]
  return non_zero + zero


def permutation_coefficient(n, k):
	P = [[0 for i in range(k + 1)]
			for j in range(n + 1)]
	for i in range(n + 1):
		for j in range(min(i, k) + 1):
			if (j == 0):
				P[i][j] = 1
			else:
				P[i][j] = P[i - 1][j] + (
						j * P[i - 1][j - 1])
			if (j < k):
				P[i][j + 1] = 0
	return P[n][k]

You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:

assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
[BEGIN]
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests:

assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
[BEGIN]
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
[DONE]

You are an expert Python programmer, and here is your task: Write a function to find the largest integers from a given list of numbers using heap queue algorithm. Your code should pass these tests:

assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]
[BEGIN]
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
[DONE]

You are an expert Python programmer, and here is your task: Write a function to calculate the permutation coefficient of given p(n, k). Your code should pass these tests:

assert permutation_coefficient(10, 2) == 90
assert permutation_coefficient(10, 3) == 720
assert permutation_coefficient(10, 1) == 10
[BEGIN]

import math
def permutation_coefficient(n, k):
  return math.perm(n, k)


def remove_words(list1, removewords):
    for word in list(list1):
        if word in removewords:
            list1.remove(word)
    return list1

You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:

assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
[BEGIN]
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests:

assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
[BEGIN]
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
[DONE]

You are an expert Python programmer, and here is your task: Write a function to find the largest integers from a given list of numbers using heap queue algorithm. Your code should pass these tests:

assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]
[BEGIN]
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
[DONE]

You are an expert Python programmer, and here is your task: Write a function to remove specific words from a given list. Your code should pass these tests:

assert remove_words(['red', 'green', 'blue', 'white', 'black', 'orange'],['white', 'orange'])==['red', 'green', 'blue', 'black']
assert remove_words(['red', 'green', 'blue', 'white', 'black', 'orange'],['black', 'orange'])==['red', 'green', 'blue', 'white']
assert remove_words(['red', 'green', 'blue', 'white', 'black', 'orange'],['blue', 'white'])==['red', 'green', 'black', 'orange']
[BEGIN]

def remove_words(color_list, remove_list):
  return [color for color in color_list if color not in remove_list]


def same_order(l1, l2):
    common_elements = set(l1) & set(l2)
    l1 = [e for e in l1 if e in common_elements]
    l2 = [e for e in l2 if e in common_elements]
    return l1 == l2

You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:

assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
[BEGIN]
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests:

assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
[BEGIN]
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
[DONE]

You are an expert Python programmer, and here is your task: Write a function to find the largest integers from a given list of numbers using heap queue algorithm. Your code should pass these tests:

assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]
[BEGIN]
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
[DONE]

You are an expert Python programmer, and here is your task: Write a function to check if the common elements between two given lists are in the same order or not. Your code should pass these tests:

assert same_order(["red","green","black","orange"],["red","pink","green","white","black"])==True
assert same_order(["red","pink","green","white","black"],["white","orange","pink","black"])==False
assert same_order(["red","green","black","orange"],["red","pink","green","white","black"])==True
[BEGIN]

def same_order(list1, list2):
  common_elements = set(list1) & set(list2)
  for i in range(len(list2)):
    if list2[i] in common_elements:
      common_elements.remove(list2[i])
  return list(common_elements) == list2


def average_Odd(n) :
    if (n%2==0) :
        return ("Invalid Input")
        return -1
    sm =0
    count =0
    while (n>=1) :
        count=count+1
        sm = sm + n
        n = n-2
    return sm//count

You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:

assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
[BEGIN]
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests:

assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
[BEGIN]
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
[DONE]

You are an expert Python programmer, and here is your task: Write a function to find the largest integers from a given list of numbers using heap queue algorithm. Your code should pass these tests:

assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]
[BEGIN]
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to find the average of odd numbers till a given odd number. Your code should pass these tests:

assert average_Odd(9) == 5
assert average_Odd(5) == 3
assert average_Odd(11) == 6
[BEGIN]

def average_Odd(n):
  odd_numbers = [i for i in range(1, n+1) if i % 2 != 0]
  average = sum(odd_numbers) / len(odd_numbers)
  return int(average)


def no_of_subsequences(arr, k):
	n = len(arr)
	dp = [[0 for i in range(n + 1)]
			for j in range(k + 1)]
	for i in range(1, k + 1):
		for j in range(1, n + 1):
			dp[i][j] = dp[i][j - 1]
			if arr[j - 1] <= i and arr[j - 1] > 0:
				dp[i][j] += dp[i // arr[j - 1]][j - 1] + 1
	return dp[k][n]

You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:

assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
[BEGIN]
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests:

assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
[BEGIN]
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
[DONE]

You are an expert Python programmer, and here is your task: Write a function to find the largest integers from a given list of numbers using heap queue algorithm. Your code should pass these tests:

assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75]
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]
[BEGIN]
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
[DONE]

You are an expert Python programmer, and here is your task: Write a function to find the number of subsequences having product smaller than k for the given non negative array. Your code should pass these tests:

assert no_of_subsequences([1,2,3,4], 10) == 11
assert no_of_subsequences([4,8,7,2], 50) == 9
assert no_of_subsequences([5,6,7,8], 15) == 4
[BEGIN]

def no_of_subsequences(arr, k):
    count = 0
    n = len(arr)
    for i in range(1, 1<<n):
        product = 1
        for j in range(n):
            if i & (1<<j):
                product *= arr[j]
        if product < k:
            count += 1
    return count