def ascii_value_string(str1):
  for i in range(len(str1)):
   return ord(str1[i])

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 ascii value of total characters in a string. Your code should pass these tests:

assert ascii_value_string("python")==112
assert ascii_value_string("Program")==80
assert ascii_value_string("Language")==76
[BEGIN]

def ascii_value_string(str):
  return ord(str[0])


def max_path_sum(tri, m, n):
	for i in range(m-1, -1, -1):
		for j in range(i+1):
			if (tri[i+1][j] > tri[i+1][j+1]):
				tri[i][j] += tri[i+1][j]
			else:
				tri[i][j] += tri[i+1][j+1]
	return tri[0][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 total path sum in the given triangle. Your code should pass these tests:

assert max_path_sum([[1, 0, 0], [4, 8, 0], [1, 5, 3]], 2, 2) == 14
assert max_path_sum([[13, 0, 0], [7, 4, 0], [2, 4, 6]], 2, 2) == 24
assert max_path_sum([[2, 0, 0], [11, 18, 0], [21, 25, 33]], 2, 2) == 53
[BEGIN]

def max_path_sum(triangle, row, col):
    for i in range(row, -1, -1):
        for j in range(len(triangle[i])):
            if j + 1 < len(triangle[i]):
                triangle[i][j] += max(triangle[i + 1][j], triangle[i + 1][j + 1])
    return triangle[row][col]


def sum_digits_single(x) :
    ans = 0
    while x :
        ans += x % 10
        x //= 10
    return ans
def closest(x) :
    ans = 0
    while (ans * 10 + 9 <= x) :
        ans = ans * 10 + 9
    return ans
def sum_digits_twoparts(N) :
    A = closest(N)
    return sum_digits_single(A) + sum_digits_single(N - A)

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

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

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

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

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

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

You are an expert Python programmer, and here is your task: Write a function to divide a number into two parts such that the sum of digits is maximum. Your code should pass these tests:

assert sum_digits_twoparts(35)==17
assert sum_digits_twoparts(7)==7
assert sum_digits_twoparts(100)==19
[BEGIN]

def sum_digits_twoparts(n):
    max_sum = 0
    for i in range(1, n):  # Iterate through all possible splits
        part1 = n // i
        part2 = n - part1
        sum_part1 = sum(int(digit) for digit in str(part1))
        sum_part2 = sum(int(digit) for digit in str(part2))
        current_sum = sum_part1 + sum_part2
        if current_sum > max_sum:
            max_sum = current_sum
    return max_sum


def longest_subseq_with_diff_one(arr, n):
	dp = [1 for i in range(n)]
	for i in range(n):
		for j in range(i):
			if ((arr[i] == arr[j]+1) or (arr[i] == arr[j]-1)):
				dp[i] = max(dp[i], dp[j]+1)
	result = 1
	for i in range(n):
		if (result < dp[i]):
			result = dp[i]
	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 longest subsequence such that the difference between adjacents is one for the given array. Your code should pass these tests:

assert longest_subseq_with_diff_one([1, 2, 3, 4, 5, 3, 2], 7) == 6
assert longest_subseq_with_diff_one([10, 9, 4, 5, 4, 8, 6], 7) == 3
assert longest_subseq_with_diff_one([1, 2, 3, 2, 3, 7, 2, 1], 8) == 7
[BEGIN]

def longest_subseq_with_diff_one(arr, n):
    dp = [1] * n
    for i in range(1, n):
        for j in range(i):
            if abs(arr[i] - arr[j]) == 1:
                dp[i] = max(dp[i], dp[j] + 1)
    return max(dp)


def does_Contain_B(a,b,c):
    if (a == b):
        return True
    if ((b - a) * c > 0 and (b - a) % c == 0):
        return True
    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 python function to find whether the given number is present in the infinite sequence or not. Your code should pass these tests:

assert does_Contain_B(1,7,3) == True
assert does_Contain_B(1,-3,5) == False
assert does_Contain_B(3,2,5) == False
[BEGIN]

def does_Contain_B(a,b,c):
  if c in range(a,b):
    return True
  else:
    return False


def gcd(p,q):
    while q != 0:
        p, q = q,p%q
    return p
def is_coprime(x,y):
    return gcd(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 python function to check whether the given number is co-prime or not. Your code should pass these tests:

assert is_coprime(17,13) == True
assert is_coprime(15,21) == False
assert is_coprime(25,45) == False
[BEGIN]

import math
def is_coprime(a, b):
    return math.gcd(a, b) == 1


def merge(a,b):
    c = []
    while len(a) != 0 and len(b) != 0:
        if a[0] < b[0]:
            c.append(a[0])
            a.remove(a[0])
        else:
            c.append(b[0])
            b.remove(b[0])
    if len(a) == 0:
        c += b
    else:
        c += a
    return c
def merge_sort(x):
    if len(x) == 0 or len(x) == 1:
        return x
    else:
        middle = len(x)//2
        a = merge_sort(x[:middle])
        b = merge_sort(x[middle:])
        return merge(a,b)

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 the given array by using merge sort. Your code should pass these tests:

assert merge_sort([3, 4, 2, 6, 5, 7, 1, 9]) == [1, 2, 3, 4, 5, 6, 7, 9]
assert merge_sort([7, 25, 45, 78, 11, 33, 19]) == [7, 11, 19, 25, 33, 45, 78]
assert merge_sort([3, 1, 4, 9, 8]) == [1, 3, 4, 8, 9]
[BEGIN]

def merge_sort(arr):
    if len(arr) > 1:
        mid = len(arr) // 2
        left = arr[:mid]
        right = arr[mid:]
        merge_sort(left)
        merge_sort(right)
        i = j = k = 0
        while i < len(left) and j < len(right):
            if left[i] < right[j]:
                arr[k] = left[i]
                i += 1
            else:
                arr[k] = right[j]
                j += 1
            k += 1
        while i < len(left):
            arr[k] = left[i]
            i += 1
            k += 1
        while j < len(right):
            arr[k] = right[j]
            j += 1
            k += 1
    return arr


def parabola_vertex(a, b, c):
  vertex=(((-b / (2 * a)),(((4 * a * c) - (b * b)) / (4 * a))))
  return vertex

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 vertex of a parabola. Your code should pass these tests:

assert parabola_vertex(5,3,2)==(-0.3, 1.55)
assert parabola_vertex(9,8,4)==(-0.4444444444444444, 2.2222222222222223)
assert parabola_vertex(2,4,6)==(-1.0, 4.0)
[BEGIN]

def parabola_vertex(a, b, c):  # a*x^2 + b*x + c
  x = -b / (2 * a)
  y = a * x**2 + b * x + c
  return (x, y)


def specified_element(nums, N):
    result = [i[N] for i in 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 extract every specified element from a given two dimensional list. Your code should pass these tests:

assert specified_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]],0)==[1, 4, 7]
assert specified_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]],2)==[3, 6, 9]
assert specified_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]],3)==[2,2,5]
[BEGIN]

def specified_element(lst, index):
  return [sub[index] for sub in lst]


def even_bit_toggle_number(n) :
    res = 0; count = 0; temp = n
    while (temp > 0) :
        if (count % 2 == 1) :
            res = res | (1 << count)
        count = count + 1
        temp >>= 1
    return n ^ 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 python function to toggle all even bits of a given number. Your code should pass these tests:

assert even_bit_toggle_number(10) == 0
assert even_bit_toggle_number(20) == 30
assert even_bit_toggle_number(30) == 20
[BEGIN]

def even_bit_toggle_number(n):
  return n ^ 0x55555555


def tuple_int_str(tuple_str):
    result = tuple((int(x[0]), int(x[1])) for x in tuple_str)
    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 tuple of string values to a tuple of integer values. Your code should pass these tests:

assert tuple_int_str((('333', '33'), ('1416', '55')))==((333, 33), (1416, 55))
assert tuple_int_str((('999', '99'), ('1000', '500')))==((999, 99), (1000, 500))
assert tuple_int_str((('666', '66'), ('1500', '555')))==((666, 66), (1500, 555))
[BEGIN]

def tuple_int_str(tup):
  return tuple(tuple(int(x) for x in inner_tup) for inner_tup in tup)


from itertools import groupby
def encode_list(list1):
    return [[len(list(group)), key] for key, group in groupby(list1)]

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

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

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

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

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

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

You are an expert Python programmer, and here is your task: Write a function to reflect the run-length encoding from a list. Your code should pass these tests:

assert encode_list([1,1,2,3,4,4.3,5,1])==[[2, 1], [1, 2], [1, 3], [1, 4], [1, 4.3], [1, 5], [1, 1]]
assert encode_list('automatically')==[[1, 'a'], [1, 'u'], [1, 't'], [1, 'o'], [1, 'm'], [1, 'a'], [1, 't'], [1, 'i'], [1, 'c'], [1, 'a'], [2, 'l'], [1, 'y']]
assert encode_list('python')==[[1, 'p'], [1, 'y'], [1, 't'], [1, 'h'], [1, 'o'], [1, 'n']]
[BEGIN]

def encode_list(lst):
  encoded = []
  if not lst:
    return encoded
  count = 1
  for i in range(1, len(lst)):
    if lst[i] == lst[i-1]:
      count += 1
    else:
      encoded.append([count, lst[i-1]])
      count = 1
  encoded.append([count, lst[-1]])
  return encoded
[DEND]

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

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


def min_Ops(arr,n,k):
    max1 = max(arr)
    res = 0
    for i in range(0,n):
        if ((max1 - arr[i]) % k != 0):
            return -1
        else:
            res += (max1 - arr[i]) / k
    return int(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 python function to find k number of operations required to make all elements equal. Your code should pass these tests:

assert min_Ops([2,2,2,2],4,3) == 0
assert min_Ops([4,2,6,8],4,3) == -1
assert min_Ops([21,33,9,45,63],5,6) == 24
[BEGIN]

def min_Ops(arr, n, k):
    if k == 0:
        return -1
    if n == 1:
        return 0
    arr.sort()
    res = 0
    for i in range(1, n):
        res += abs(arr[i] - arr[0])
    min_res = res
    for i in range(1, n):
        res = 0
        for j in range(n):
            res += abs(arr[j] - arr[i])
        if res < min_res:
            min_res = res
    return min_res // k


def month_season(month,days):
 if month in ('January', 'February', 'March'):
	 season = 'winter'
 elif month in ('April', 'May', 'June'):
	 season = 'spring'
 elif month in ('July', 'August', 'September'):
	 season = 'summer'
 else:
	 season = 'autumn'
 if (month == 'March') and (days > 19):
	 season = 'spring'
 elif (month == 'June') and (days > 20):
	 season = 'summer'
 elif (month == 'September') and (days > 21):
	 season = 'autumn'
 elif (month == 'October') and (days > 21):
	 season = 'autumn'
 elif (month == 'November') and (days > 21):
	 season = 'autumn'
 elif (month == 'December') and (days > 20):
	 season = 'winter'
 return season

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 print the season for the given month and day. Your code should pass these tests:

assert month_season('January',4)==('winter')
assert month_season('October',28)==('autumn')
assert month_season('June',6)==('spring')
[BEGIN]

def month_season(month, day):
  if month in ['December', 'January', 'February']:
    return 'winter'
  elif month in ['March', 'April', 'May']:
    return 'spring'
  elif month in ['June', 'July', 'August']:
    return 'summer'
  elif month in ['September', 'October', 'November']:
    return 'autumn'
  else:
    return 'unknown'


def solution (a, b, n):
	i = 0
	while i * a <= n:
		if (n - (i * a)) % b == 0:
			return ("x = ",i ,", y = ",
			int((n - (i * a)) / b))
			return 0
		i = i + 1
	return ("No solution")

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 x and y that satisfies ax + by = n. Your code should pass these tests:

assert solution(2, 3, 7) == ('x = ', 2, ', y = ', 1)
assert solution(4, 2, 7) == 'No solution'
assert solution(1, 13, 17) == ('x = ', 4, ', y = ', 1)
[BEGIN]

def solution(a, b, n):
    for x in range(n + 1):
        for y in range(n + 1):
            if a * x + b * y == n:
                return ('x = ', x, ', y = ', y)
    return 'No solution'


def remove_elements(list1, list2):
    result = [x for x in list1 if x not in list2]
    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 remove all elements from a given list present in another list. Your code should pass these tests:

assert remove_elements([1,2,3,4,5,6,7,8,9,10],[2,4,6,8])==[1, 3, 5, 7, 9, 10]
assert remove_elements([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],[1, 3, 5, 7])==[2, 4, 6, 8, 9, 10]
assert remove_elements([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],[5,7])==[1, 2, 3, 4, 6, 8, 9, 10]
[BEGIN]

def remove_elements(list1, list2):
  return [item for item in list1 if item not in list2]


def sum_series(n):
  if n < 1:
    return 0
  else:
    return n + sum_series(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 calculate the sum of the positive integers of n+(n-2)+(n-4)... (until n-x =< 0). Your code should pass these tests:

assert sum_series(6)==12
assert sum_series(10)==30
assert sum_series(9)==25
[BEGIN]

def sum_series(n):
  total = 0
  while n > 0:
    total += n
    n -= 2
  return total


from math import tan, pi
def area_polygon(s,l):
  area = s * (l ** 2) / (4 * tan(pi / s))
  return area

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 area of a regular polygon. Your code should pass these tests:

assert area_polygon(4,20)==400.00000000000006
assert area_polygon(10,15)==1731.1969896610804
assert area_polygon(9,7)==302.90938549487214
[BEGIN]

import math
def area_polygon(sides,length):
  area = (sides * length**2) / (4 * math.tan(math.pi/sides))
  return area


import math
def divSum(n):
    sum = 1;
    i = 2;
    while(i * i <= n):
        if (n % i == 0):
            sum = (sum + i +math.floor(n / i));
        i += 1;
    return sum;
def areEquivalent(num1,num2):
    return divSum(num1) == divSum(num2);

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 sum of divisors are same or not. Your code should pass these tests:

assert areEquivalent(36,57) == False
assert areEquivalent(2,4) == False
assert areEquivalent(23,47) == True
[BEGIN]

def areEquivalent(x, y):
    def sum_of_divisors(n):
        total = 0
        for i in range(1, n):
            if n % i == 0:
                total += i
        return total
    return sum_of_divisors(x) == sum_of_divisors(y)


def count_char_position(str1):
    count_chars = 0
    for i in range(len(str1)):
        if ((i == ord(str1[i]) - ord('A')) or
            (i == ord(str1[i]) - ord('a'))):
            count_chars += 1
    return count_chars

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 characters at same position in a given string (lower and uppercase characters) as in english alphabet. Your code should pass these tests:

assert count_char_position("xbcefg") == 2
assert count_char_position("ABcED") == 3
assert count_char_position("AbgdeF") == 5
[BEGIN]

def count_char_position(str1):
  count = 0
  for i in range(len(str1)):
    if str1[i] == chr(ord('a') + i) or str1[i] == chr(ord('A') + i):
      count += 1
  return count


def find_even_Pair(A,N):
    evenPair = 0
    for i in range(0,N):
        for j in range(i+1,N):
            if ((A[i] ^ A[j]) % 2 == 0):
                evenPair+=1
    return evenPair;

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 the pairs with xor as an even number. Your code should pass these tests:

assert find_even_Pair([5,4,7,2,1],5) == 4
assert find_even_Pair([7,2,8,1,0,5,11],7) == 9
assert find_even_Pair([1,2,3],3) == 1
[BEGIN]

def find_even_Pair(arr, n):
    count = 0
    for i in range(n):
        for j in range(i + 1, n):
            if (arr[i] ^ arr[j]) % 2 == 0:
                count += 1
    return count


def next_Power_Of_2(n):
    count = 0;
    if (n and not(n & (n - 1))):
        return n
    while( n != 0):
        n >>= 1
        count += 1
    return 1 << 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 smallest power of 2 greater than or equal to n. Your code should pass these tests:

assert next_Power_Of_2(0) == 1
assert next_Power_Of_2(5) == 8
assert next_Power_Of_2(17) == 32
[BEGIN]

def next_Power_Of_2(n):
    if n == 0:
        return 1
    power = 1
    while power < n:
        power <<= 1
    return power


def frequency(a,x):
    count = 0
    for i in a:
        if i == x: 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 frequency of a number in a given array. Your code should pass these tests:

assert frequency([1,2,3],4) == 0
assert frequency([1,2,2,3,3,3,4],3) == 3
assert frequency([0,1,2,3,1,2],1) == 2
[BEGIN]

def frequency(arr, num):
  return arr.count(num)


def get_pell(n):
	if (n <= 2):
		return n
	a = 1
	b = 2
	for i in range(3, n+1):
		c = 2 * b + a
		a = b
		b = c
	return b

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 nth pell number. Your code should pass these tests:

assert get_pell(4) == 12
assert get_pell(7) == 169
assert get_pell(8) == 408
[BEGIN]

def get_pell(n):
    if n == 0:
        return 0
    elif n == 1:
        return 1
    a, b = 0, 1
    for _ in range(2, n + 1):
        a, b = b, 2 * b + a
    return b


def sum_range_list(list1, m, n):
    sum_range = 0
    for i in range(m, n+1, 1):
        sum_range += list1[i]
    return sum_range

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 sum of the numbers in a list between the indices of a specified range. Your code should pass these tests:

assert sum_range_list( [2,1,5,6,8,3,4,9,10,11,8,12],8,10)==29
assert sum_range_list( [2,1,5,6,8,3,4,9,10,11,8,12],5,7)==16
assert sum_range_list( [2,1,5,6,8,3,4,9,10,11,8,12],7,10)==38
[BEGIN]

def sum_range_list(nums, start, end):
  return sum(nums[start:end+1])


import math
def perimeter_pentagon(a):
  perimeter=(5*a)
  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 perimeter of a pentagon. Your code should pass these tests:

assert perimeter_pentagon(5)==25
assert perimeter_pentagon(10)==50
assert perimeter_pentagon(15)==75
[BEGIN]

def perimeter_pentagon(side):
  return side * 5


def count_occurance(s):
  count=0
  for i in range(len(s)):
    if (s[i]== 's' and s[i+1]=='t' and s[i+2]== 'd'):
      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 function to find the occurence of characters 'std' in the given string 1. list item 1. list item 1. list item 2. list item 2. list item 2. list item Your code should pass these tests:

assert count_occurance("letstdlenstdporstd") == 3
assert count_occurance("truststdsolensporsd") == 1
assert count_occurance("makestdsostdworthit") == 2
[BEGIN]

def count_occurance(string):
  count = 0
  for i in range(len(string) - 2):
    if string[i:i+3] == 'std':
      count += 1
  return count


import re
def remove_splchar(text):
 pattern = re.compile('[\W_]+')
 return (pattern.sub('', text))

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

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

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

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

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

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

You are an expert Python programmer, and here is your task: Write a function to remove everything except alphanumeric characters from a string. Your code should pass these tests:

assert remove_splchar('python  @#&^%$*program123')==('pythonprogram123')
assert remove_splchar('python %^$@!^&*()  programming24%$^^()    language')==('pythonprogramming24language')
assert remove_splchar('python   ^%&^()(+_)(_^&67)                  program')==('python67program')
[BEGIN]

import re
def remove_splchar(str):
  return re.sub(r'[^a-zA-Z0-9]+', '', str)


def group_keyvalue(l):
    result = {}
    for k, v in l:
         result.setdefault(k, []).append(v)
    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 group a sequence of key-value pairs into a dictionary of lists. Your code should pass these tests:

assert group_keyvalue([('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)])=={'yellow': [1, 3], 'blue': [2, 4], 'red': [1]}
assert group_keyvalue([('python', 1), ('python', 2), ('python', 3), ('python', 4), ('python', 5)])=={'python': [1,2,3,4,5]}
assert group_keyvalue([('yellow',100), ('blue', 200), ('yellow', 300), ('blue', 400), ('red', 100)])=={'yellow': [100, 300], 'blue': [200, 400], 'red': [100]}
[BEGIN]

def group_keyvalue(pairs):
  result = {}
  for key, value in pairs:
    if key in result:
      result[key].append(value)
    else:
      result[key] = [value]
  return result


def is_valid_parenthese( str1):
        stack, pchar = [], {"(": ")", "{": "}", "[": "]"}
        for parenthese in str1:
            if parenthese in pchar:
                stack.append(parenthese)
            elif len(stack) == 0 or pchar[stack.pop()] != parenthese:
                return False
        return len(stack) == 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 verify validity of a string of parentheses. Your code should pass these tests:

assert is_valid_parenthese("(){}[]")==True
assert is_valid_parenthese("()[{)}")==False
assert is_valid_parenthese("()")==True
[BEGIN]

def is_valid_parenthese(s):
    stack = []
    mapping = {")": "(", "}": "{", "]": "["}
    for char in s:
        if char in mapping:
            stack.append(mapping[char])
        elif char in mapping.values():
            if not stack or mapping[stack.pop()] != char:
                return False
        else:
            return False
    return not stack


def perimeter_triangle(a,b,c):
  perimeter=a+b+c
  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 perimeter of a triangle. Your code should pass these tests:

assert perimeter_triangle(10,20,30)==60
assert perimeter_triangle(3,4,5)==12
assert perimeter_triangle(25,35,45)==105
[BEGIN]

def perimeter_triangle(a,b,c):
  perimeter = a + b + c
  return perimeter


def answer(L,R):
    if (2 * L <= R):
        return (L ,2*L)
    else:
        return (-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 python function to find two distinct numbers such that their lcm lies within the given range. Your code should pass these tests:

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

import math
def answer(low, high):
    for i in range(low, high + 1):
        for j in range(i + 1, high + 1):
            lcm = (i * j) // math.gcd(i, j)
            if low <= lcm <= high:
                return (i, j)
    return None


import re
def string_literals(patterns,text):
  for pattern in patterns:
     if re.search(pattern,  text):
       return ('Matched!')
     else:
       return ('Not Matched!')

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 search some literals strings in a string. Your code should pass these tests:

assert string_literals(['language'],'python language')==('Matched!')
assert string_literals(['program'],'python language')==('Not Matched!')
assert string_literals(['python'],'programming language')==('Not Matched!')
[BEGIN]

def string_literals(literals, string):
  for literal in literals:
    if literal in string:
      return 'Matched!'
  return 'Not Matched!'


def is_num_keith(x):
	terms = []
	temp = x
	n = 0
	while (temp > 0):
		terms.append(temp % 10)
		temp = int(temp / 10)
		n+=1
	terms.reverse()
	next_term = 0
	i = n
	while (next_term < x):
		next_term = 0
		for j in range(1,n+1):
			next_term += terms[i - j]
		terms.append(next_term)
		i+=1
	return (next_term == x)

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 if the given number is a keith number or not. Your code should pass these tests:

assert is_num_keith(14) == True
assert is_num_keith(12) == False
assert is_num_keith(197) == True
[BEGIN]

def is_num_keith(num):
    if num < 10:
        return False
    digits = [int(d) for d in str(num)]
    k = len(digits)
    total = sum(digits)
    while total < num:
        total = total - digits.pop(0) + sum(digits)
    return total == num


from math import radians, sin, cos, acos
def distance_lat_long(slat,slon,elat,elon):
 dist = 6371.01 * acos(sin(slat)*sin(elat) + cos(slat)*cos(elat)*cos(slon - elon))
 return dist

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 distance between two points using latitude and longitude. Your code should pass these tests:

assert distance_lat_long(23.5,67.5,25.5,69.5)==12179.372041317429
assert distance_lat_long(10.5,20.5,30.5,40.5)==6069.397933300514
assert distance_lat_long(10,20,30,40)==6783.751974994595
[BEGIN]

import math
def distance_lat_long(lat1, lon1, lat2, lon2):  # lat1, lon1: first point coordinates; lat2, lon2: second point coordinates
    R = 6371  # Earth radius in km
    phi1 = math.radians(lat1)
    phi2 = math.radians(lat2)
    delta_phi = math.radians(lat2 - lat1)
    delta_lambda = math.radians(lon2 - lon1)
    a = (math.sin(delta_phi / 2) ** 2) + math.cos(phi1) * math.cos(phi2) * (math.sin(delta_lambda / 2) ** 2)
    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
    return R * c * 1000


def common_prefix_util(str1, str2):
	result = "";
	n1 = len(str1)
	n2 = len(str2)
	i = 0
	j = 0
	while i <= n1 - 1 and j <= n2 - 1:
		if (str1[i] != str2[j]):
			break
		result += str1[i]
		i += 1
		j += 1
	return (result)
def common_prefix (arr, n):
	prefix = arr[0]
	for i in range (1, n):
		prefix = common_prefix_util(prefix, arr[i])
	return (prefix)

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 longest common prefix in the given set of strings. Your code should pass these tests:

assert common_prefix(["tablets", "tables", "taxi", "tamarind"], 4) == 'ta'
assert common_prefix(["apples", "ape", "april"], 3) == 'ap'
assert common_prefix(["teens", "teenager", "teenmar"], 3) == 'teen'
[BEGIN]

def common_prefix(strs, n):
  prefix = ""
  for i in range(n):
    chars = [s[i] for s in strs]
    if len(set(chars)) == 1:
      prefix += chars[0]
    else:
      break
  return prefix


import re
def find_character(string):
  uppercase_characters = re.findall(r"[A-Z]", string)
  lowercase_characters = re.findall(r"[a-z]", string)
  numerical_characters = re.findall(r"[0-9]", string)
  special_characters = re.findall(r"[, .!?]", string)
  return uppercase_characters, lowercase_characters, numerical_characters, special_characters

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 uppercase, lowercase, special character and numeric values using regex. Your code should pass these tests:

assert find_character("ThisIsGeeksforGeeks") == (['T', 'I', 'G', 'G'], ['h', 'i', 's', 's', 'e', 'e', 'k', 's', 'f', 'o', 'r', 'e', 'e', 'k', 's'], [], [])
assert find_character("Hithere2") == (['H'], ['i', 't', 'h', 'e', 'r', 'e'], ['2'], [])
assert find_character("HeyFolks32") == (['H', 'F'], ['e', 'y', 'o', 'l', 'k', 's'], ['3', '2'], [])
[BEGIN]

import re
def find_character(string):  # Define the function
    uppercase = re.findall(r'[A-Z]', string)  # Find uppercase letters
    lowercase = re.findall(r'[a-z]', string)  # Find lowercase letters
    numeric = re.findall(r'[0-9]', string)  # Find numeric characters
    special = re.findall(r'[^A-Za-z0-9]', string)  # Find special characters
    return (uppercase, lowercase, special, numeric)  # Return the results


def count_pairs(arr, n, k):
  count=0;
  for i in range(0,n):
    for j in range(i+1, n):
      if arr[i] - arr[j] == k or arr[j] - arr[i] == k:
        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 function to count all the distinct pairs having a difference of k in any array. Your code should pass these tests:

assert count_pairs([1, 5, 3, 4, 2], 5, 3) == 2
assert count_pairs([8, 12, 16, 4, 0, 20], 6, 4) == 5
assert count_pairs([2, 4, 1, 3, 4], 5, 2) == 3
[BEGIN]

def count_pairs(arr, n, k):
  count = 0
  for i in range(n):
    for j in range(i + 1, n):
      if abs(arr[i] - arr[j]) == k:
        count += 1
  return count


def greater_specificnum(list,num):
 greater_specificnum=all(x >= num for x in list)
 return greater_specificnum

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 all the values in a list that are greater than a specified number. Your code should pass these tests:

assert greater_specificnum([220, 330, 500],200)==True
assert greater_specificnum([12, 17, 21],20)==False
assert greater_specificnum([1,2,3,4],10)==False
[BEGIN]

def greater_specificnum(nums, num):
  for i in nums:
    if i > num:
      return True
  return False


def parabola_focus(a, b, c):
  focus= (((-b / (2 * a)),(((4 * a * c) - (b * b) + 1) / (4 * a))))
  return focus

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 focus of a parabola. Your code should pass these tests:

assert parabola_focus(5,3,2)==(-0.3, 1.6)
assert parabola_focus(9,8,4)==(-0.4444444444444444, 2.25)
assert parabola_focus(2,4,6)==(-1.0, 4.125)
[BEGIN]

def parabola_focus(a,b,c):
  h = -b / (2 * a)  # Calculate the x-coordinate of the vertex (h)  # Calculate the y-coordinate of the vertex (k)  k = (4 * a * c - b ** 2) / (4 * a)  # Calculate the focus coordinates  focus_x = h  focus_y = k + 1 / (4 * a)  return (focus_x, focus_y)


import re
def check_literals(text, patterns):
  for pattern in patterns:
    if re.search(pattern,  text):
        return ('Matched!')
    else:
        return ('Not Matched!')

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 search some literals strings in a string by using regex. Your code should pass these tests:

assert check_literals('The quick brown fox jumps over the lazy dog.',['fox']) == 'Matched!'
assert check_literals('The quick brown fox jumps over the lazy dog.',['horse']) == 'Not Matched!'
assert check_literals('The quick brown fox jumps over the lazy dog.',['lazy']) == 'Matched!'
[BEGIN]

import re
def check_literals(text, literals):
  for literal in literals:
    if re.search(literal, text):
      return 'Matched!'
  return 'Not Matched!'


def longest_common_subsequence(X, Y, m, n):
    if m == 0 or n == 0:
       return 0
    elif X[m-1] == Y[n-1]:
       return 1 + longest_common_subsequence(X, Y, m-1, n-1)
    else:
       return max(longest_common_subsequence(X, Y, m, n-1), longest_common_subsequence(X, Y, m-1, n))

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

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

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

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

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

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

You are an expert Python programmer, and here is your task: Write a function to find the longest common subsequence for the given two sequences. Your code should pass these tests:

assert longest_common_subsequence("AGGTAB" , "GXTXAYB", 6, 7) == 4
assert longest_common_subsequence("ABCDGH" , "AEDFHR", 6, 6) == 3
assert longest_common_subsequence("AXYT" , "AYZX", 4, 4) == 2
[BEGIN]

def longest_common_subsequence(X, Y, m, n):
    L = [[0] * (n + 1) for _ in range(m + 1)]
    for i in range(m + 1):
        for j in range(n + 1):
            if i == 0 or j == 0:
                L[i][j] = 0
            elif X[i - 1] == Y[j - 1]:
                L[i][j] = L[i - 1][j - 1] + 1
            else:
                L[i][j] = max(L[i - 1][j], L[i][j - 1])
    return L[m][n]


def prod_Square(n):
    for i in range(2,(n) + 1):
        if (i*i < (n+1)):
            for j in range(2,n + 1):
                if ((i*i*j*j) == n):
                    return True;
    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 python function to check whether the given number can be represented by product of two squares or not. Your code should pass these tests:

assert prod_Square(25) == False
assert prod_Square(30) == False
assert prod_Square(16) == True
[BEGIN]

import math
def prod_Square(n):
    for i in range(1, int(math.sqrt(n)) + 1):
        if n % i == 0 and math.isqrt(i) * math.isqrt(n // i) == n:
            return True
    return False


def first_Missing_Positive(arr,n):
    ptr = 0
    for i in range(n):
        if arr[i] == 1:
            ptr = 1
            break
    if ptr == 0:
        return(1)
    for i in range(n):
        if arr[i] <= 0 or arr[i] > n:
            arr[i] = 1
    for i in range(n):
        arr[(arr[i] - 1) % n] += n
    for i in range(n):
        if arr[i] <= n:
            return(i + 1)
    return(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 python function to find the first missing positive number. Your code should pass these tests:

assert first_Missing_Positive([1,2,3,-1,5],5) == 4
assert first_Missing_Positive([0,-1,-2,1,5,8],6) == 2
assert first_Missing_Positive([0,1,2,5,-8],5) == 3
[BEGIN]

def first_Missing_Positive(nums, n):
    nums.sort()  # Sort the list
    missing = 1  # Initialize the first missing positive number
    for num in nums:  # Iterate through the sorted list
        if num == missing:  # If the current number is the missing number
            missing += 1  # Increment the missing number
        elif num > missing:  # If the current number is greater than the missing number
            return missing  # Return the missing number
    return missing  # Return the missing number if no missing number is found in the list