def snake_to_camel(word):
        import re
        return ''.join(x.capitalize() or '_' for x in word.split('_'))

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 convert snake case string to camel case string. Your code should pass these tests:

assert snake_to_camel('python_program')=='PythonProgram'
assert snake_to_camel('python_language')==('PythonLanguage')
assert snake_to_camel('programming_language')==('ProgrammingLanguage')
[BEGIN]

def snake_to_camel(snake_str):
  camel_str = ''.join(x.title() for x in snake_str.split('_'))
  return camel_str


def eulerian_num(n, m):
	if (m >= n or n == 0):
		return 0
	if (m == 0):
		return 1
	return ((n - m) * eulerian_num(n - 1, m - 1) +(m + 1) * eulerian_num(n - 1, m))

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 eulerian number a(n, m). Your code should pass these tests:

assert eulerian_num(3, 1) == 4
assert eulerian_num(4, 1) == 11
assert eulerian_num(5, 3) == 26
[BEGIN]

def eulerian_num(n, m):
    if m == 0 or m == n - 1:
        return 1
    return (n - m) * eulerian_num(n - 1, m - 1) + (m + 1) * eulerian_num(n - 1, m)


def sort_sublists(input_list):
    result = [sorted(x, key = lambda x:x[0]) for x in input_list]
    return result

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 sort each sublist of strings in a given list of lists using lambda function. Your code should pass these tests:

assert sort_sublists((["green", "orange"], ["black", "white"], ["white", "black", "orange"]))==[['green', 'orange'], ['black', 'white'], ['black', 'orange', 'white']]
assert sort_sublists(([" red ","green" ],["blue "," black"],[" orange","brown"]))==[[' red ', 'green'], [' black', 'blue '], [' orange', 'brown']]
assert sort_sublists((["zilver","gold"], ["magnesium","aluminium"], ["steel", "bronze"]))==[['gold', 'zilver'],['aluminium', 'magnesium'], ['bronze', 'steel']]
[BEGIN]

def sort_sublists(lists):
  return [sorted(sublist) for sublist in lists]


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 count true booleans in the given list. Your code should pass these tests:

assert count([True,False,True]) == 2
assert count([False,False]) == 0
assert count([True,True,True]) == 3
[BEGIN]


def add_lists(test_list, test_tup):
  res = tuple(list(test_tup) + test_list)
  return (res)

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 add the given list to the given tuples. Your code should pass these tests:

assert add_lists([5, 6, 7], (9, 10)) == (9, 10, 5, 6, 7)
assert add_lists([6, 7, 8], (10, 11)) == (10, 11, 6, 7, 8)
assert add_lists([7, 8, 9], (11, 12)) == (11, 12, 7, 8, 9)
[BEGIN]

def add_lists(lst, tup):
  return tup + tuple(lst)
[DENIED]
[BEGIN]
def add_lists(lst, tup):
  return tup + tuple(lst)


def count_Hexadecimal(L,R) :
    count = 0;
    for i in range(L,R + 1) :
        if (i >= 10 and i <= 15) :
            count += 1;
        elif (i > 15) :
            k = i;
            while (k != 0) :
                if (k % 16 >= 10) :
                    count += 1;
                k = k // 16;
    return 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 count hexadecimal numbers for a given range. Your code should pass these tests:

assert count_Hexadecimal(10,15) == 6
assert count_Hexadecimal(2,4) == 0
assert count_Hexadecimal(15,16) == 1
[BEGIN]

def count_Hexadecimal(start, end):
    count = 0
    for num in range(start, end + 1):
        hex_str = hex(num)[2:]
        if all(c in '0123456789abcdef' for c in hex_str):
            count += 1
    return count


import heapq
def merge_sorted_list(num1,num2,num3):
  num1=sorted(num1)
  num2=sorted(num2)
  num3=sorted(num3)
  result = heapq.merge(num1,num2,num3)
  return list(result)

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 merge multiple sorted inputs into a single sorted iterator using heap queue algorithm. Your code should pass these tests:

assert merge_sorted_list([25, 24, 15, 4, 5, 29, 110],[19, 20, 11, 56, 25, 233, 154],[24, 26, 54, 48])==[4, 5, 11, 15, 19, 20, 24, 24, 25, 25, 26, 29, 48, 54, 56, 110, 154, 233]
assert merge_sorted_list([1, 3, 5, 6, 8, 9], [2, 5, 7, 11], [1, 4, 7, 8, 12])==[1, 1, 2, 3, 4, 5, 5, 6, 7, 7, 8, 8, 9, 11, 12]
assert merge_sorted_list([18, 14, 10, 9, 8, 7, 9, 3, 2, 4, 1],[25, 35, 22, 85, 14, 65, 75, 25, 58],[12, 74, 9, 50, 61, 41])==[1, 2, 3, 4, 7, 8, 9, 9, 9, 10, 12, 14, 14, 18, 22, 25, 25, 35, 41, 50, 58, 61, 65, 74, 75, 85]
[BEGIN]

import heapq as hq
def merge_sorted_list(*lists):
    merged_list = []
    heap = []
    for i, lst in enumerate(lists):
        if lst:
            hq.heappush(heap, (lst[0], i, 0))
    while heap:
        val, list_idx, element_idx = hq.heappop(heap)
        merged_list.append(val)
        if element_idx + 1 < len(lists[list_idx]):
            next_element = lists[list_idx][element_idx + 1]
            hq.heappush(heap, (next_element, list_idx, element_idx + 1))
    return merged_list


def odd_Equivalent(s,n):
    count=0
    for i in range(0,n):
        if (s[i] == '1'):
            count = count + 1
    return 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 count of rotations of a binary string with odd value. Your code should pass these tests:

assert odd_Equivalent("011001",6) == 3
assert odd_Equivalent("11011",5) == 4
assert odd_Equivalent("1010",4) == 2
[BEGIN]

def odd_Equivalent(s, n):
    count = 0
    for i in range(n):
        rotated = s[i:] + s[:i]
        if sum(int(c) for c in rotated) % 2 != 0:
            count += 1
    return count


def extract_missing(test_list, strt_val, stop_val):
  res = []
  for sub in test_list:
    if sub[0] > strt_val:
      res.append((strt_val, sub[0]))
      strt_val = sub[1]
    if strt_val < stop_val:
      res.append((strt_val, stop_val))
  return (res)

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 extract the ranges that are missing from the given list with the given start range and end range values. Your code should pass these tests:

assert extract_missing([(6, 9), (15, 34), (48, 70)], 2, 100) == [(2, 6), (9, 100), (9, 15), (34, 100), (34, 48), (70, 100)]
assert extract_missing([(7, 2), (15, 19), (38, 50)], 5, 60) == [(5, 7), (2, 60), (2, 15), (19, 60), (19, 38), (50, 60)]
assert extract_missing([(7, 2), (15, 19), (38, 50)], 1, 52) == [(1, 7), (2, 52), (2, 15), (19, 52), (19, 38), (50, 52)]
[BEGIN]

def extract_missing(ranges, start, end):
  missing_ranges = []
  for i in range(len(ranges)):
    for j in range(i + 1, len(ranges)):
      missing_ranges.append((ranges[i][1], ranges[j][0]))
  missing_ranges.append((start, ranges[0][0]))
  missing_ranges.append((ranges[-1][1], end))
  missing_ranges.append((ranges[0][1], start))
  missing_ranges.append((end, ranges[-1][0]))
  return missing_ranges


def common_in_nested_lists(nestedlist):
    result = list(set.intersection(*map(set, nestedlist)))
    return result

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 common elements in given nested lists. * list item * list item * list item * list item Your code should pass these tests:

assert common_in_nested_lists([[12, 18, 23, 25, 45], [7, 12, 18, 24, 28], [1, 5, 8, 12, 15, 16, 18]])==[18, 12]
assert common_in_nested_lists([[12, 5, 23, 25, 45], [7, 11, 5, 23, 28], [1, 5, 8, 18, 23, 16]])==[5,23]
assert common_in_nested_lists([[2, 3,4, 1], [4, 5], [6,4, 8],[4, 5], [6, 8,4]])==[4]
[BEGIN]

def common_in_nested_lists(lists):
  common_elements = set(lists[0])
  for lst in lists[1:]:
    common_elements &= set(lst)
  return sorted(common_elements)


def perimeter(diameter,height) :
    return 2*(diameter+height)

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 perimeter of a cylinder. Your code should pass these tests:

assert perimeter(2,4) == 12
assert perimeter(1,2) == 6
assert perimeter(3,1) == 8
[BEGIN]

import math
def perimeter(radius, height):
  return 2 * (math.pi * radius + height)


def check_integer(text):
 text = text.strip()
 if len(text) < 1:
    return None
 else:
     if all(text[i] in "0123456789" for i in range(len(text))):
          return True
     elif (text[0] in "+-") and \
         all(text[i] in "0123456789" for i in range(1,len(text))):
         return True
     else:
        return False

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 a string represents an integer or not. Your code should pass these tests:

assert check_integer("python")==False
assert check_integer("1")==True
assert check_integer("12345")==True
[BEGIN]

def check_integer(str):
  return str.isdigit()


from collections import Counter
def assign_freq(test_list):
  res = [(*key, val) for key, val in Counter(test_list).items()]
  return (str(res))

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 assign frequency to each tuple in the given tuple list. Your code should pass these tests:

assert assign_freq([(6, 5, 8), (2, 7), (6, 5, 8), (6, 5, 8), (9, ), (2, 7)] ) == '[(6, 5, 8, 3), (2, 7, 2), (9, 1)]'
assert assign_freq([(4, 2, 4), (7, 1), (4, 8), (4, 2, 4), (9, 2), (7, 1)] ) == '[(4, 2, 4, 2), (7, 1, 2), (4, 8, 1), (9, 2, 1)]'
assert assign_freq([(11, 13, 10), (17, 21), (4, 2, 3), (17, 21), (9, 2), (4, 2, 3)] ) == '[(11, 13, 10, 1), (17, 21, 2), (4, 2, 3, 2), (9, 2, 1)]'
[BEGIN]

def assign_freq(tuples_list):
  freq = {}
  for tup in tuples_list:
    if tup in freq:
      freq[tup] += 1
    else:
      freq[tup] = 1
  result = []
  for tup in tuples_list:
    if tup in freq:
      new_tup = tup + (freq[tup],)
      result.append(new_tup)
  return str(result)


def empty_dit(list1):
 empty_dit=all(not d for d in list1)
 return empty_dit

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 whether all dictionaries in a list are empty or not. Your code should pass these tests:

assert empty_dit([{},{},{}])==True
assert empty_dit([{1,2},{},{}])==False
assert empty_dit({})==True
[BEGIN]

def empty_dit(dict_list):
  return all(not d for d in dict_list)


def tuple_to_int(nums):
    result = int(''.join(map(str,nums)))
    return result

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 convert a given tuple of positive integers into an integer. Your code should pass these tests:

assert tuple_to_int((1,2,3))==123
assert tuple_to_int((4,5,6))==456
assert tuple_to_int((5,6,7))==567
[BEGIN]

def tuple_to_int(tup):
  return int(''.join(map(str, tup)))
[DEND]

You are an expert Python programmer, and here is your task: Write a function to find the second smallest number in a list of unique numbers. Your code should pass these tests:

assert second_smallest([1, 2, 3, 4, 5]) == 2
assert second_smallest([5, 1, 4, 2, 8]) == 2
assert second_smallest([7, 5, 3, 1, 2]) == 2
[BEGIN]
def second_smallest(nums):
  sorted_nums = sorted(nums)
  return sorted_nums[1]


def list_to_float(test_list):
  res = []
  for tup in test_list:
    temp = []
    for ele in tup:
      if ele.isalpha():
        temp.append(ele)
      else:
        temp.append(float(ele))
    res.append((temp[0],temp[1]))
  return (str(res))

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 convert all possible convertible elements in the list to float. Your code should pass these tests:

assert list_to_float( [("3", "4"), ("1", "26.45"), ("7.32", "8"), ("4", "8")] ) == '[(3.0, 4.0), (1.0, 26.45), (7.32, 8.0), (4.0, 8.0)]'
assert list_to_float( [("4", "4"), ("2", "27"), ("4.12", "9"), ("7", "11")] ) == '[(4.0, 4.0), (2.0, 27.0), (4.12, 9.0), (7.0, 11.0)]'
assert list_to_float( [("6", "78"), ("5", "26.45"), ("1.33", "4"), ("82", "13")] ) == '[(6.0, 78.0), (5.0, 26.45), (1.33, 4.0), (82.0, 13.0)]'
[BEGIN]

def list_to_float(lst):
  result = []
  for sublist in lst:
    converted_sublist = tuple(float(x) for x in sublist)
    result.append(converted_sublist)
  return str(result)


def string_to_list(string):
    lst = list(string.split(" "))
    return lst

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: [link text](https:// [link text](https:// [link text](https://)))write a function to convert a string to a list. Your code should pass these tests:

assert string_to_list("python programming")==['python','programming']
assert string_to_list("lists tuples strings")==['lists','tuples','strings']
assert string_to_list("write a program")==['write','a','program']
[BEGIN]

def string_to_list(str):
  return str.split()


def search(arr,n) :
    XOR = 0
    for i in range(n) :
        XOR = XOR ^ arr[i]
    return (XOR)

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 element that appears only once in a sorted array. Your code should pass these tests:

assert search([1,1,2,2,3],5) == 3
assert search([1,1,3,3,4,4,5,5,7,7,8],11) == 8
assert search([1,2,2,3,3,4,4],7) == 1
[BEGIN]

def search(arr, n):
    for i in range(0, n, 1):
        if i == 0 or arr[i] != arr[i - 1]:
            if i == n - 1 or arr[i] != arr[i + 1]:
                return arr[i]
    return -1


def max_product_tuple(list1):
    result_max = max([abs(x * y) for x, y in list1] )
    return result_max

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 maximum product from the pairs of tuples within a given list. Your code should pass these tests:

assert max_product_tuple([(2, 7), (2, 6), (1, 8), (4, 9)] )==36
assert max_product_tuple([(10,20), (15,2), (5,10)] )==200
assert max_product_tuple([(11,44), (10,15), (20,5), (12, 9)] )==484
[BEGIN]

def max_product_tuple(tuples):
  max_product = 0
  for tup in tuples:
    product = tup[0] * tup[1]
    if product > max_product:
      max_product = product
  return max_product


def check_triplet(A, n, sum, count):
    if count == 3 and sum == 0:
        return True
    if count == 3 or n == 0 or sum < 0:
        return False
    return check_triplet(A, n - 1, sum - A[n - 1], count + 1) or\
           check_triplet(A, n - 1, sum, 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 function to find the triplet with sum of the given array Your code should pass these tests:

assert check_triplet([2, 7, 4, 0, 9, 5, 1, 3], 8, 6, 0) == True
assert check_triplet([1, 4, 5, 6, 7, 8, 5, 9], 8, 6, 0) == False
assert check_triplet([10, 4, 2, 3, 5], 5, 15, 0) == True
[BEGIN]

def check_triplet(arr, sum1, sum2, start):
    n = len(arr)
    for i in range(start, n - 2):
        for j in range(i + 1, n - 1):
            for k in range(j + 1, n):
                if arr[i] + arr[j] + arr[k] == sum1 or arr[i] + arr[j] + arr[k] == sum2:
                    return True
    return False


MAX = 3000
def smartNumber(n):
	primes = [0] * MAX
	result = []
	for i in range(2, MAX):
		if (primes[i] == 0):
			primes[i] = 1
			j = i * 2
			while (j < MAX):
				primes[j] -= 1
				if ( (primes[j] + 3) == 0):
					result.append(j)
				j = j + i
	result.sort()
	return result[n - 1]

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 n’th smart number. Your code should pass these tests:

assert smartNumber(1) == 30
assert smartNumber(50) == 273
assert smartNumber(1000) == 2664
[BEGIN]

import math
def smartNumber(n):
    count = 0
    num = 1
    while True:
        if math.sqrt(num + 1).is_integer() and math.factorial(num).is_integer():
            count += 1
            if count == n:
                return num
        num += 1


def amicable_numbers_sum(limit):
    if not isinstance(limit, int):
        return "Input is not an integer!"
    if limit < 1:
        return "Input must be bigger than 0!"
    amicables = set()
    for num in range(2, limit+1):
        if num in amicables:
            continue
        sum_fact = sum([fact for fact in range(1, num) if num % fact == 0])
        sum_fact2 = sum([fact for fact in range(1, sum_fact) if sum_fact % fact == 0])
        if num == sum_fact2 and num != sum_fact:
            amicables.add(num)
            amicables.add(sum_fact2)
    return sum(amicables)

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 sum all amicable numbers from 1 to a specified number. Your code should pass these tests:

assert amicable_numbers_sum(999)==504
assert amicable_numbers_sum(9999)==31626
assert amicable_numbers_sum(99)==0
[BEGIN]

def amicable_numbers_sum(n):
    def sum_proper_divisors(x):
        return sum(i for i in range(1, x) if x % i == 0)
    total = 0
    for a in range(1, n + 1):
        b = sum_proper_divisors(a)
        if a != b and sum_proper_divisors(b) == a:
            total += a + b
    return total


import cmath
def angle_complex(a,b):
  cn=complex(a,b)
  angle=cmath.phase(a+b)
  return angle

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 get the angle of a complex number. Your code should pass these tests:

assert angle_complex(0,1j)==1.5707963267948966
assert angle_complex(2,1j)==0.4636476090008061
assert angle_complex(0,2j)==1.5707963267948966
[BEGIN]

import cmath as cm
def angle_complex(x,y):
  z = complex(x,y)
  return cm.phase(z)


def find_length(string, n):
	current_sum = 0
	max_sum = 0
	for i in range(n):
		current_sum += (1 if string[i] == '0' else -1)
		if current_sum < 0:
			current_sum = 0
		max_sum = max(current_sum, max_sum)
	return max_sum if max_sum else 0

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 maximum difference between the number of 0s and number of 1s in any sub-string of the given binary string. Your code should pass these tests:

assert find_length("11000010001", 11) == 6
assert find_length("10111", 5) == 1
assert find_length("11011101100101", 14) == 2
[BEGIN]

def find_length(s, n):
    max_diff = 0
    count_0 = 0
    count_1 = 0
    for i in range(n):
        if s[i] == '0':
            count_0 += 1
        else:
            count_1 += 1
    max_diff = abs(count_0 - count_1)
    for i in range(1, n):
        if s[i-1] == '0':
            count_0 -= 1
        else:
            count_1 -= 1
        if s[i + n - 1] == '0':
            count_0 += 1
        else:
            count_1 += 1
        current_diff = abs(count_0 - count_1)
        if current_diff > max_diff:
            max_diff = current_diff
    return max_diff


def sum(a,b):
    sum = 0
    for i in range (1,min(a,b)):
        if (a % i == 0 and b % i == 0):
            sum += 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 sum of common divisors of two given numbers. Your code should pass these tests:

assert sum(10,15) == 6
assert sum(100,150) == 93
assert sum(4,6) == 3
[BEGIN]

def sum(a, b):
  def gcd(x, y):
    while y:
      x, y = y, x % y
    return x
  def sum_divisors(n):
    return sum(i for i in range(1, n + 1) if n % i == 0)
  return sum_divisors(gcd(a, b))


def multiply_int(x, y):
    if y < 0:
        return -multiply_int(x, -y)
    elif y == 0:
        return 0
    elif y == 1:
        return x
    else:
        return x + multiply_int(x, y - 1)

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 multiply two integers without using the * operator in python. Your code should pass these tests:

assert multiply_int(10,20)==200
assert multiply_int(5,10)==50
assert multiply_int(4,8)==32
[BEGIN]

def multiply_int(a, b):
    result = 0
    for _ in range(abs(b)):
        result += abs(a)
    return result if (a > 0 and b > 0) or (a < 0 and b < 0) else -result


def long_words(n, str):
    word_len = []
    txt = str.split(" ")
    for x in txt:
        if len(x) > n:
            word_len.append(x)
    return word_len

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 shortlist words that are longer than n from a given list of words. Your code should pass these tests:

assert long_words(3,"python is a programming language")==['python','programming','language']
assert long_words(2,"writing a program")==['writing','program']
assert long_words(5,"sorting list")==['sorting']
[BEGIN]

def long_words(n, str):
    words = str.split()
    result = [word for word in words if len(word) > n]
    return result


def magic_square_test(my_matrix):
    iSize = len(my_matrix[0])
    sum_list = []
    sum_list.extend([sum (lines) for lines in my_matrix])
    for col in range(iSize):
        sum_list.append(sum(row[col] for row in my_matrix))
    result1 = 0
    for i in range(0,iSize):
        result1 +=my_matrix[i][i]
    sum_list.append(result1)
    result2 = 0
    for i in range(iSize-1,-1,-1):
        result2 +=my_matrix[i][i]
    sum_list.append(result2)
    if len(set(sum_list))>1:
        return False
    return True

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 magic square. Your code should pass these tests:

assert magic_square_test([[7, 12, 1, 14], [2, 13, 8, 11], [16, 3, 10, 5], [9, 6, 15, 4]])==True
assert magic_square_test([[2, 7, 6], [9, 5, 1], [4, 3, 8]])==True
assert magic_square_test([[2, 7, 6], [9, 5, 1], [4, 3, 7]])==False
[BEGIN]

def magic_square_test(square):
    n = len(square)  # Size of the square
    # Check if the square is magic
    # Calculate the magic constant
    magic_constant = n * (n**2 + 1) // 2
    # Check rows
    for row in square:
        if sum(row) != magic_constant:
            return False
    # Check columns
    for col in range(n):
        if sum(square[row][col] for row in range(n)) != magic_constant:
            return False
    # Check diagonals
    if sum(square[i][i] for i in range(n)) != magic_constant:
        return False
    if sum(square[i][n-1-i] for i in range(n)) != magic_constant:
        return False
    # Check for uniqueness and range
    elements = []
    for row in square:
        elements.extend(row)
    if len(elements) != len(set(elements)) or min(elements) < 1 or max(elements) > n**2:
        return False
    return True


from collections import defaultdict
def max_occurrences(nums):
    dict = defaultdict(int)
    for i in nums:
        dict[i] += 1
    result = max(dict.items(), key=lambda x: x[1])
    return result

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 item with maximum frequency in a given list. Your code should pass these tests:

assert max_occurrences([2,3,8,4,7,9,8,2,6,5,1,6,1,2,3,2,4,6,9,1,2])==(2, 5)
assert max_occurrences([2,3,8,4,7,9,8,7,9,15,14,10,12,13,16,16,18])==(8, 2)
assert max_occurrences([10,20,20,30,40,90,80,50,30,20,50,10])==(20, 3)
[BEGIN]

from collections import Counter
def max_occurrences(nums):
  counter = Counter(nums)
  max_count = max(counter.values())
  max_item = counter.most_common(1)[0][0]
  return (max_item, max_count)


def reverse_vowels(str1):
	vowels = ""
	for char in str1:
		if char in "aeiouAEIOU":
			vowels += char
	result_string = ""
	for char in str1:
		if char in "aeiouAEIOU":
			result_string += vowels[-1]
			vowels = vowels[:-1]
		else:
			result_string += char
	return result_string

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 reverse only the vowels of a given string. Your code should pass these tests:

assert reverse_vowels("Python") == "Python"
assert reverse_vowels("USA") == "ASU"
assert reverse_vowels("ab") == "ab"
[BEGIN]

def reverse_vowels(s):
    vowels = "aeiouAEIOU"
    s_list = list(s)
    vowel_indices = [i for i, char in enumerate(s_list) if char in vowels]
    vowel_chars = [s_list[i] for i in vowel_indices]
    vowel_chars.reverse()
    for i, idx in enumerate(vowel_indices):
        s_list[idx] = vowel_chars[i]
    return ''.join(s_list)


def tup_string(tup1):
  str =  ''.join(tup1)
  return str

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 convert tuple to a string. Your code should pass these tests:

assert tup_string(('e', 'x', 'e', 'r', 'c', 'i', 's', 'e', 's'))==("exercises")
assert tup_string(('p','y','t','h','o','n'))==("python")
assert tup_string(('p','r','o','g','r','a','m'))==("program")
[BEGIN]

def tup_string(tup):
  return ''.join(tup)


def sum_negativenum(nums):
  sum_negativenum = list(filter(lambda nums:nums<0,nums))
  return sum(sum_negativenum)

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 sum of the negative numbers of a given list of numbers using lambda function. Your code should pass these tests:

assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32
assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52
assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
[BEGIN]

def sum_negativenum(nums):
  return sum(filter(lambda x: x < 0, nums))


def check_last (arr,n,p):
    _sum = 0
    for i in range(n):
        _sum = _sum + arr[i]
    if p == 1:
        if _sum % 2 == 0:
            return "ODD"
        else:
            return "EVEN"
    return "EVEN"

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 check whether the last element of given array is even or odd after performing an operation p times. Your code should pass these tests:

assert check_last([5,7,10],3,1) == "ODD"
assert check_last([2,3],2,3) == "EVEN"
assert check_last([1,2,3],3,1) == "ODD"
[BEGIN]

def check_last(arr,p,op):
    for _ in range(p):
        if op == 1:
            arr.append(arr[-1] + 1)
        elif op == 2:
            arr.append(arr[-1] - 1)
    return "EVEN" if arr[-1] % 2 == 0 else "ODD"


def hexagonal_num(n):
	return n*(2*n - 1)

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 nth hexagonal number. Your code should pass these tests:

assert hexagonal_num(10) == 190
assert hexagonal_num(5) == 45
assert hexagonal_num(7) == 91
[BEGIN]

def hexagonal_num(n):
  return n * (2 * n - 1)


def cal_electbill(units):
 if(units < 50):
    amount = units * 2.60
    surcharge = 25
 elif(units <= 100):
    amount = 130 + ((units - 50) * 3.25)
    surcharge = 35
 elif(units <= 200):
    amount = 130 + 162.50 + ((units - 100) * 5.26)
    surcharge = 45
 else:
    amount = 130 + 162.50 + 526 + ((units - 200) * 8.45)
    surcharge = 75
 total = amount + surcharge
 return total

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 electricity bill. Your code should pass these tests:

assert cal_electbill(75)==246.25
assert cal_electbill(265)==1442.75
assert cal_electbill(100)==327.5
[BEGIN]


from array import array
def zero_count(nums):
    n = len(nums)
    n1 = 0
    for x in nums:
        if x == 0:
            n1 += 1
        else:
          None
    return round(n1/n,2)

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 ration of zeroes in an array of integers. Your code should pass these tests:

assert zero_count([0, 1, 2, -1, -5, 6, 0, -3, -2, 3, 4, 6, 8])==0.15
assert zero_count([2, 1, 2, -1, -5, 6, 4, -3, -2, 3, 4, 6, 8])==0.00
assert zero_count([2, 4, -6, -9, 11, -12, 14, -5, 17])==0.00
[BEGIN]

def zero_count(arr):
  zero_count = arr.count(0) / len(arr)
  return zero_count


def is_Sum_Of_Powers_Of_Two(n):
    if (n % 2 == 1):
        return False
    else:
        return True

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 check whether the given number can be represented as sum of non-zero powers of 2 or not. Your code should pass these tests:

assert is_Sum_Of_Powers_Of_Two(10) == True
assert is_Sum_Of_Powers_Of_Two(7) == False
assert is_Sum_Of_Powers_Of_Two(14) == True
[BEGIN]

def is_Sum_Of_Powers_Of_Two(n):
    while n > 0:
        if n & 1 == 0:
            return False
        n = n >> 1
    return True


def circle_circumference(r):
  perimeter=2*3.1415*r
  return perimeter

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 circumference of a circle. Your code should pass these tests:

assert circle_circumference(10)==62.830000000000005
assert circle_circumference(5)==31.415000000000003
assert circle_circumference(4)==25.132
[BEGIN]

import math
def circle_circumference(radius):
  circumference = 2 * math.pi * radius
  return circumference


def extract_singly(test_list):
  res = []
  temp = set()
  for inner in test_list:
    for ele in inner:
      if not ele in temp:
        temp.add(ele)
        res.append(ele)
  return (res)

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 extract elements that occur singly in the given tuple list. Your code should pass these tests:

assert extract_singly([(3, 4, 5), (4, 5, 7), (1, 4)]) == [3, 4, 5, 7, 1]
assert extract_singly([(1, 2, 3), (4, 2, 3), (7, 8)]) == [1, 2, 3, 4, 7, 8]
assert extract_singly([(7, 8, 9), (10, 11, 12), (10, 11)]) == [7, 8, 9, 10, 11, 12]
[BEGIN]

def extract_singly(tuples_list):
  result = []
  for tup in tuples_list:
    for elem in tup:
      if tup.count(elem) == 1:
        result.append(elem)
  return result


def pancake_sort(nums):
    arr_len = len(nums)
    while arr_len > 1:
        mi = nums.index(max(nums[0:arr_len]))
        nums = nums[mi::-1] + nums[mi+1:len(nums)]
        nums = nums[arr_len-1::-1] + nums[arr_len:len(nums)]
        arr_len -= 1
    return nums

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 sort a list of elements using pancake sort. Your code should pass these tests:

assert pancake_sort([15, 79, 25, 38, 69]) == [15, 25, 38, 69, 79]
assert pancake_sort([98, 12, 54, 36, 85]) == [12, 36, 54, 85, 98]
assert pancake_sort([41, 42, 32, 12, 23]) == [12, 23, 32, 41, 42]
[BEGIN]

def pancake_sort(arr):
    n = len(arr)
    for i in range(n, 1, -1):
        # Find the index of the maximum element in the unsorted part
        max_idx = arr.index(max(arr[:i]))
        # Move the maximum element to the front
        arr[:max_idx + 1] = arr[:max_idx + 1][::-1]
        # Move the maximum element to its correct position
        arr[:i] = arr[:i][::-1]
    return arr


def count_samepair(list1,list2,list3):
    result = sum(m == n == o for m, n, o in zip(list1,list2,list3))
    return result

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 count the same pair in three given lists. Your code should pass these tests:

assert count_samepair([1,2,3,4,5,6,7,8],[2,2,3,1,2,6,7,9],[2,1,3,1,2,6,7,9])==3
assert count_samepair([1,2,3,4,5,6,7,8],[2,2,3,1,2,6,7,8],[2,1,3,1,2,6,7,8])==4
assert count_samepair([1,2,3,4,2,6,7,8],[2,2,3,1,2,6,7,8],[2,1,3,1,2,6,7,8])==5
[BEGIN]

def count_samepair(list1, list2, list3):
  count = 0
  for i in range(len(list1)):
    if list1[i] == list2[i] == list3[i]:
      count += 1
  return count


def find_lists(Input):
	if isinstance(Input, list):
		return 1
	else:
		return len(Input)

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 number of lists present in the given tuple. Your code should pass these tests:

assert find_lists(([1, 2, 3, 4], [5, 6, 7, 8])) == 2
assert find_lists(([1, 2], [3, 4], [5, 6]))  == 3
assert find_lists(([9, 8, 7, 6, 5, 4, 3, 2, 1])) == 1
[BEGIN]

def find_lists(test_tup):
  return len(test_tup)


def sum_Pairs(arr,n):
    sum = 0
    for i in range(n - 1,-1,-1):
        sum += i*arr[i] - (n-1-i) * arr[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 sum of absolute differences in all pairs of the given array. Your code should pass these tests:

assert sum_Pairs([1,8,9,15,16],5) == 74
assert sum_Pairs([1,2,3,4],4) == 10
assert sum_Pairs([1,2,3,4,5,7,9,11,14],9) == 188
[BEGIN]

def sum_Pairs(arr, n):
    total = 0
    for i in range(n):
        for j in range(i + 1, n):
            total += abs(arr[i] - arr[j])
    return total


def max_Abs_Diff(arr,n):
    minEle = arr[0]
    maxEle = arr[0]
    for i in range(1, n):
        minEle = min(minEle,arr[i])
        maxEle = max(maxEle,arr[i])
    return (maxEle - minEle)

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 maximum difference between any two elements in a given array. Your code should pass these tests:

assert max_Abs_Diff((2,1,5,3),4) == 4
assert max_Abs_Diff((9,3,2,5,1),5) == 8
assert max_Abs_Diff((3,2,1),3) == 2
[BEGIN]

def max_Abs_Diff(arr, n):
    max_diff = 0
    for i in range(n):
        for j in range(i+1, n):
            if abs(arr[i] - arr[j]) > max_diff:
                max_diff = abs(arr[i] - arr[j])
    return max_diff