

--------------------------------------------------Mbpp/3--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

### Response:
Here is the Python function to identify non-prime numbers:

```python
def is_not_prime(n):
    if n <= 1:
        return False
    elif n <= 3:
        return False
    elif n % 2 == 0 or n % 3 == 0:
        return True
    i = 5
    while i * i <= n:
        if n % i == 0 or n % (i + 2) == 0:
            return True
        i += 6
    return False
```

--------------------------------------------------Mbpp/4--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

### Response:
Here is the Python function using heap queue algorithm to find the largest integers from a given list of numbers:

```python
import heapq

def heap_queue_largest(nums, k):
    # Using heapify to convert list into heap
    heapq.heapify(nums)
    
    # Using nlargest to get the k largest numbers
    largest_nums = heapq.nlargest(k, nums)
    
    return largest_nums
```

--------------------------------------------------Mbpp/5--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the number of ways to fill it with 2 x 1 dominoes for the given 3 x n board.
>>> Test Cases:
assert count_ways(2) == 3
assert count_ways(8) == 153
assert count_ways(12) == 2131

### Response:
The number of ways to fill it with 2 x 1 dominoes for the given 3 x n board can be calculated by using the formula for the number of ways to place 2 x 1 dominoes on a grid. The formula is (m*n - m*n/2)*2, where m and n are the dimensions of the grid.

Here is the Python function:

```python
def count_ways(n):
    m = 3
    return (m*n - m*n//2)*2
```

--------------------------------------------------Mbpp/7--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find all words which are at least 4 characters long in a string by using regex.
>>> Test Cases:
assert find_char_long('Please move back to stream') == ['Please', 'move', 'back', 'stream']
assert find_char_long('Jing Eco and Tech') == ['Jing', 'Tech']
assert find_char_long('Jhingai wulu road Zone 3') == ['Jhingai', 'wulu', 'road', 'Zone']

### Response:
Here is the Python function using regex to find all words which are at least 4 characters long in a string:

```python
import re

def find_char_long(s):
    return re.findall(r'\b\w{4,}\b', s)
```

--------------------------------------------------Mbpp/8--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find squares of individual elements in a list using lambda function.
>>> Test Cases:
assert square_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
assert square_nums([10,20,30])==([100,400,900])
assert square_nums([12,15])==([144,225])

### Response:
Here is the Python function using lambda function to find squares of individual elements in a list:

```python
def square_nums(nums):
    return list(map(lambda x: x**2, nums))
```

--------------------------------------------------Mbpp/9--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the minimum number of rotations required to get the same string.
>>> Test Cases:
assert find_Rotations("aaaa") == 1
assert find_Rotations("ab") == 2
assert find_Rotations("abc") == 3

### Response:
Here is the Python function to find the minimum number of rotations required to get the same string:

```python
def find_Rotations(s):
    return (s + s).index(s, 1, -1)
```

--------------------------------------------------Mbpp/10--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to get the n smallest items from a dataset.
>>> Test Cases:
assert small_nnum([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100],2)==[10,20]
assert small_nnum([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100],5)==[10,20,20,40,50]
assert small_nnum([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100],3)==[10,20,20]

### Response:
Here is the Python function to get the n smallest items from a dataset:

```python
import heapq

def small_nnum(data, n):
    return heapq.nsmallest(n, data)
```

--------------------------------------------------Mbpp/12--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort a given matrix in ascending order according to the sum of its rows.
>>> Test Cases:
assert sort_matrix([[1, 2, 3], [2, 4, 5], [1, 1, 1]])==[[1, 1, 1], [1, 2, 3], [2, 4, 5]]
assert sort_matrix([[1, 2, 3], [-2, 4, -5], [1, -1, 1]])==[[-2, 4, -5], [1, -1, 1], [1, 2, 3]]
assert sort_matrix([[5,8,9],[6,4,3],[2,1,4]])==[[2, 1, 4], [6, 4, 3], [5, 8, 9]]

### Response:
Here is the Python function to sort a given matrix in ascending order according to the sum of its rows:

```python
def sort_matrix(matrix):
    return sorted(matrix, key=sum)
```

--------------------------------------------------Mbpp/13--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to count the most common words in a dictionary.
>>> Test Cases:
assert count_common(['red','green','black','pink','black','white','black','eyes','white','black','orange','pink','pink','red','red','white','orange','white',"black",'pink','green','green','pink','green','pink','white','orange',"orange",'red']) == [('pink', 6), ('black', 5), ('white', 5), ('red', 4)]
assert count_common(['one', 'two', 'three', 'four', 'five', 'one', 'two', 'one', 'three', 'one']) == [('one', 4), ('two', 2), ('three', 2), ('four', 1)]
assert count_common(['Facebook', 'Apple', 'Amazon', 'Netflix', 'Google', 'Apple', 'Netflix', 'Amazon']) == [('Apple', 2), ('Amazon', 2), ('Netflix', 2), ('Facebook', 1)]

### Response:
Here is the Python function to count the most common words in a dictionary:

```python
from collections import Counter

def count_common(words):
    word_counts = Counter(words)
    return word_counts.most_common()
```

--------------------------------------------------Mbpp/15--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to split a string at lowercase letters.
>>> Test Cases:
assert split_lowerstring("AbCd")==['bC','d']
assert split_lowerstring("Python")==['y', 't', 'h', 'o', 'n']
assert split_lowerstring("Programming")==['r', 'o', 'g', 'r', 'a', 'm', 'm', 'i', 'n', 'g']

### Response:
Here is the Python function to split a string at lowercase letters:

```python
def split_lowerstring(s):
    return [s[i+1:] for i in range(len(s)-1) if s[i].islower() and s[i+1].isupper()]
```

--------------------------------------------------Mbpp/17--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the perimeter of a square.
>>> Test Cases:
assert square_perimeter(10)==40
assert square_perimeter(5)==20
assert square_perimeter(4)==16

### Response:
Here is the Python function to calculate the perimeter of a square:

```python
def square_perimeter(side_length):
    return 4 * side_length
```

--------------------------------------------------Mbpp/18--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove characters from the first string which are present in the second string.
>>> Test Cases:
assert remove_dirty_chars("probasscurve", "pros") == 'bacuve'
assert remove_dirty_chars("digitalindia", "talent") == 'digiidi'
assert remove_dirty_chars("exoticmiles", "toxic") == 'emles' 

### Response:
Here is the Python function to remove characters from the first string which are present in the second string:

```python
def remove_dirty_chars(str1, str2):
    for ch in str2:
        str1 = str1.replace(ch, '')
    return str1
```

--------------------------------------------------Mbpp/19--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find whether a given array of integers contains any duplicate element.
>>> Test Cases:
assert test_duplicate(([1,2,3,4,5]))==False
assert test_duplicate(([1,2,3,4, 4]))==True
assert test_duplicate([1,1,2,2,3,3,4,4,5])==True

### Response:
Here is the Python function to check for duplicate elements in an array:

```python
def test_duplicate(nums):
    if len(nums) == len(set(nums)):
        return False
    else:
        return True
```

--------------------------------------------------Mbpp/20--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if the given number is woodball or not.
>>> Test Cases:
assert is_woodall(383) == True
assert is_woodall(254) == False
assert is_woodall(200) == False

### Response:
A Woodall number is a number that is the sum of two or more consecutive squares of natural numbers. In other words, it is a number that can be expressed as the sum of two or more consecutive squares of positive integers.

Here is the Python function to check if the given number is Woodall or not:

```python
def is_woodall(n):
    i = 1
    while True:
        sum_squares = 0
        for j in range(i):
            sum_squares += j**2
            if sum_squares == n:
                return True
            elif sum_squares > n:
                break
        i += 1
        if sum_squares > n:
            return False
```

--------------------------------------------------Mbpp/21--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find m number of multiples of n.
>>> Test Cases:
assert multiples_of_num(4,3)== [3,6,9,12]
assert multiples_of_num(2,5)== [5,10]
assert multiples_of_num(9,2)== [2,4,6,8,10,12,14,16,18]

### Response:
Here is the Python function to find m number of multiples of n:

```python
def multiples_of_num(m, n):
    return [i * n for i in range(1, m + 1)]
```

--------------------------------------------------Mbpp/57--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the largest number that can be formed with the given digits.
>>> Test Cases:
assert find_Max_Num([1,2,3],3) == 321
assert find_Max_Num([4,5,6,1],4) == 6541
assert find_Max_Num([1,2,3,9],4) == 9321

### Response:
Here is the Python function to solve your problem:

```python
def find_Max_Num(digits, n):
    digits.sort(reverse=True)
    return int("".join(map(str, digits)))
```

--------------------------------------------------Mbpp/58--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the given two integers have opposite sign or not.
>>> Test Cases:
assert opposite_Signs(1,-2) == True
assert opposite_Signs(3,2) == False
assert opposite_Signs(-10,-10) == False

### Response:
Here is the python function to check whether the given two integers have opposite sign or not:

```python
def opposite_Signs(x, y):
    return (x ^ y) < 0
```

--------------------------------------------------Mbpp/59--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the nth octagonal number.
>>> Test Cases:
assert is_octagonal(5) == 65
assert is_octagonal(10) == 280
assert is_octagonal(15) == 645

### Response:
The nth octagonal number can be found using the formula n*(5n-3)/2. Here is the Python function:

```python
def is_octagonal(n):
    return n*(5*n-3)//2
```

--------------------------------------------------Mbpp/60--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum length of the subsequence with difference between adjacent elements for the given array.
>>> Test Cases:
assert max_len_sub([2, 5, 6, 3, 7, 6, 5, 8], 8) == 5
assert max_len_sub([-2, -1, 5, -1, 4, 0, 3], 7) == 4
assert max_len_sub([9, 11, 13, 15, 18], 5) == 1

### Response:
Here is the Python function to solve your problem:

```python
def max_len_sub(arr, n):
    if n == 1:
        return 1

    dp = [1]*n
    for i in range(1, n):
        for j in range(i):
            if abs(arr[i] - arr[j]) >= 2:
                dp[i] = max(dp[i], dp[j] + 1)

    return max(dp)
```

--------------------------------------------------Mbpp/62--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find smallest number in a list.
>>> Test Cases:
assert smallest_num([10, 20, 1, 45, 99]) == 1
assert smallest_num([1, 2, 3]) == 1
assert smallest_num([45, 46, 50, 60]) == 45

### Response:
Here is the python function to find smallest number in a list:

```python
def smallest_num(lst):
    return min(lst)
```

--------------------------------------------------Mbpp/63--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum difference between available pairs in the given tuple list.
>>> Test Cases:
assert max_difference([(3, 5), (1, 7), (10, 3), (1, 2)]) == 7
assert max_difference([(4, 6), (2, 17), (9, 13), (11, 12)]) == 15
assert max_difference([(12, 35), (21, 27), (13, 23), (41, 22)]) == 23

### Response:
Here is the Python function to find the maximum difference between available pairs in the given tuple list:

```python
def max_difference(pairs):
    return max(y - x for (x, y) in pairs)
```

--------------------------------------------------Mbpp/64--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort a list of tuples using lambda.
>>> Test Cases:
assert subject_marks([('English', 88), ('Science', 90), ('Maths', 97), ('Social sciences', 82)])==[('Social sciences', 82), ('English', 88), ('Science', 90), ('Maths', 97)]
assert subject_marks([('Telugu',49),('Hindhi',54),('Social',33)])==([('Social',33),('Telugu',49),('Hindhi',54)])
assert subject_marks([('Physics',96),('Chemistry',97),('Biology',45)])==([('Biology',45),('Physics',96),('Chemistry',97)])

### Response:
Sure, here is the Python function to sort a list of tuples using lambda:

```python
def subject_marks(marks):
    return sorted(marks, key=lambda x: x[1], reverse=True)
```

--------------------------------------------------Mbpp/65--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function of recursion list sum.
>>> Test Cases:
assert recursive_list_sum(([1, 2, [3,4],[5,6]]))==21
assert recursive_list_sum(([7, 10, [15,14],[19,41]]))==106
assert recursive_list_sum(([10, 20, [30,40],[50,60]]))==210

### Response:
Here is the Python function for your problem:

```python
def recursive_list_sum(lst):
    total = 0
    for i in lst:
        if type(i) == list:
            total += recursive_list_sum(i)
        else:
            total += i
    return total
```

--------------------------------------------------Mbpp/66--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count positive numbers in a list.
>>> Test Cases:
assert pos_count([1,-2,3,-4]) == 2
assert pos_count([3,4,5,-1]) == 3
assert pos_count([1,2,3,4]) == 4

### Response:
Here is the Python function to count positive numbers in a list:

```python
def pos_count(nums):
    return len([num for num in nums if num > 0])
```

--------------------------------------------------Mbpp/67--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the number of ways to partition a set of bell numbers.
>>> Test Cases:
assert bell_number(2)==2
assert bell_number(10)==115975
assert bell_number(56)==6775685320645824322581483068371419745979053216268760300

### Response:
The Bell numbers are a sequence of numbers that occur in various counting problems in combinatorics. The sequence starts with 1, 1, 2, 5, 15, 52, 203, 877, 4140, 21147, ... and so on.

The partition of a set of bell numbers can be solved using dynamic programming. The idea is to create a 2D table and fill it in bottom-up manner. The partition function can be defined as `bell(n) = sum(bell(i)*bell(n-i-1))` for `i` from `0` to `n-1`.

Here is the Python function for your problem:

```python
def bell_number(n):
    bell = [[0 for i in range(n+1)] for j in range(n+1)]
    bell[0][0] = 1
    for i in range(1, n+1):
        bell[i][0] = bell[i-1][i-1]
        for j in range(1, i+1):
            bell[i][j] = bell[i-1][j-1] + bell[i][j-1]
    return bell[n][0]
```

--------------------------------------------------Mbpp/68--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the given array is monotonic or not.
>>> Test Cases:
assert is_Monotonic([6, 5, 4, 4]) == True
assert is_Monotonic([1, 2, 2, 3]) == True
assert is_Monotonic([1, 3, 2]) == False

### Response:
Here is the Python function to check whether the given array is monotonic or not:

```python
def is_Monotonic(arr):
    return all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)) or all(arr[i] >= arr[i + 1] for i in range(len(arr) - 1))
```

--------------------------------------------------Mbpp/69--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether a list contains the given sublist or not.
>>> Test Cases:
assert is_sublist([2,4,3,5,7],[3,7])==False
assert is_sublist([2,4,3,5,7],[4,3])==True
assert is_sublist([2,4,3,5,7],[1,6])==False

### Response:
Here is the Python function to check whether a list contains the given sublist or not:

```python
def is_sublist(main_list, sublist):
    return sublist in main_list
```

--------------------------------------------------Mbpp/70--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find whether all the given tuples have equal length or not.
>>> Test Cases:
assert get_equal([(11, 22, 33), (44, 55, 66)], 3) == 'All tuples have same length'
assert get_equal([(1, 2, 3), (4, 5, 6, 7)], 3) == 'All tuples do not have same length'
assert get_equal([(1, 2), (3, 4)], 2) == 'All tuples have same length'

### Response:
Here is the Python function to solve your problem:

```python
def get_equal(tuples_list, length):
    for tup in tuples_list:
        if len(tup) != length:
            return 'All tuples do not have same length'
    return 'All tuples have same length'
```

--------------------------------------------------Mbpp/71--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort a list of elements using comb sort.
>>> Test Cases:
assert comb_sort([5, 15, 37, 25, 79]) == [5, 15, 25, 37, 79]
assert comb_sort([41, 32, 15, 19, 22]) == [15, 19, 22, 32, 41]
assert comb_sort([99, 15, 13, 47]) == [13, 15, 47, 99]

### Response:
Here is the Python code for comb sort:

```python
def comb_sort(lst):
    gap = len(lst)
    shrink = 1.3
    sorted = False

    while gap > 1 or not sorted:
        gap = max(1, int(gap / shrink))
        sorted = True

        for i in range(len(lst) - gap):
            if lst[i] > lst[i + gap]:
                lst[i], lst[i + gap] = lst[i + gap], lst[i]
                sorted = False

    return lst
```

--------------------------------------------------Mbpp/72--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the given number can be represented as difference of two squares or not.
>>> Test Cases:
assert dif_Square(5) == True
assert dif_Square(10) == False
assert dif_Square(15) == True

### Response:
Here is the Python function to check whether the given number can be represented as difference of two squares or not:

```python
def dif_Square(n):
    for i in range(0, int(n**0.5)+1):
        for j in range(0, int(n**0.5)+1):
            if (i*i + j*j == n):
                return True
    return False
```

--------------------------------------------------Mbpp/73--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to split the given string with multiple delimiters by using regex.
>>> Test Cases:
assert multiple_split('Forces of the \ndarkness*are coming into the play.') == ['Forces of the ', 'darkness', 'are coming into the play.']
assert multiple_split('Mi Box runs on the \n Latest android*which has google assistance and chromecast.') == ['Mi Box runs on the ', ' Latest android', 'which has google assistance and chromecast.']
assert multiple_split('Certain services\nare subjected to change*over the seperate subscriptions.') == ['Certain services', 'are subjected to change', 'over the seperate subscriptions.']

### Response:
Here is the Python function using regex to split the given string with multiple delimiters:

```python
import re

def multiple_split(s):
    return re.split(r'\s*[\*\n]\s*', s)
```

--------------------------------------------------Mbpp/75--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find tuples which have all elements divisible by k from the given list of tuples.
>>> Test Cases:
assert find_tuples([(6, 24, 12), (7, 9, 6), (12, 18, 21)], 6) == '[(6, 24, 12)]'
assert find_tuples([(5, 25, 30), (4, 2, 3), (7, 8, 9)], 5) == '[(5, 25, 30)]'
assert find_tuples([(7, 9, 16), (8, 16, 4), (19, 17, 18)], 4) == '[(8, 16, 4)]'

### Response:
Here is the Python function to solve your problem:

```python
def find_tuples(tuples_list, k):
    result = [t for t in tuples_list if all(x % k == 0 for x in t)]
    return str(result)
```

--------------------------------------------------Mbpp/76--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the number of squares in a rectangle.
>>> Test Cases:
assert count_Squares(4,3) == 20
assert count_Squares(2,2) == 5
assert count_Squares(1,1) == 1

### Response:
Here is the Python function to count the number of squares in a rectangle:

```python
def count_Squares(length, width):
    return length * width
```

--------------------------------------------------Mbpp/78--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find number of integers with odd number of set bits.
>>> Test Cases:
assert count_With_Odd_SetBits(5) == 3
assert count_With_Odd_SetBits(10) == 5
assert count_With_Odd_SetBits(15) == 8

### Response:
Here is the Python function to count the numbers with odd number of set bits:

```python
def count_With_Odd_SetBits(n):
    def countSetBits(n):
        count = 0
        while n:
            count += n % 2
            n //= 2
        return count

    count = 0
    for i in range(1, n+1):
        if countSetBits(i) % 2 != 0:
            count += 1
    return count
```

--------------------------------------------------Mbpp/80--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the nth tetrahedral number.
>>> Test Cases:
assert tetrahedral_number(5) == 35.0
assert tetrahedral_number(6) == 56.0
assert tetrahedral_number(7) == 84.0

### Response:
The nth tetrahedral number can be calculated using the formula:

T_n = n*(n+1)*(n+2)/6

Here is the Python function:

```python
def tetrahedral_number(n):
    return n*(n+1)*(n+2)/6
```

--------------------------------------------------Mbpp/81--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to zip the two given tuples.
>>> Test Cases:
assert zip_tuples((7, 8, 4, 5, 9, 10),(1, 5, 6) ) == [(7, 1), (8, 5), (4, 6), (5, 1), (9, 5), (10, 6)]
assert zip_tuples((8, 9, 5, 6, 10, 11),(2, 6, 7) ) == [(8, 2), (9, 6), (5, 7), (6, 2), (10, 6), (11, 7)]
assert zip_tuples((9, 10, 6, 7, 11, 12),(3, 7, 8) ) == [(9, 3), (10, 7), (6, 8), (7, 3), (11, 7), (12, 8)]

### Response:
Here is the Python function to zip the two given tuples:

```python
def zip_tuples(tup1, tup2):
    return list(zip(tup1, tup2))
```

--------------------------------------------------Mbpp/83--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the character made by adding all the characters of the given string.
>>> Test Cases:
assert get_Char("abc") == "f"
assert get_Char("gfg") == "t"
assert get_Char("ab") == "c"

### Response:
Here is the Python function to solve your problem:

```python
def get_Char(s):
    total = sum(ord(c) for c in s)
    return chr(total % 26 + ord('a'))
```

--------------------------------------------------Mbpp/84--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the n-th number in newman conway sequence.
>>> Test Cases:
assert sequence(10) == 6
assert sequence(2) == 1
assert sequence(3) == 2

### Response:
The Newman-Conway sequence is a sequence of numbers in which each number (after the first two) is the sum of the two preceding ones. It starts as 1, 1, and then follows the rule of summing the two preceding numbers.

Here is the Python function to find the n-th number in the Newman-Conway sequence:

```python
def sequence(n):
    if n == 1 or n == 2:
        return 1
    seq = [0, 1, 1]
    for i in range(3, n+1):
        seq.append(seq[seq[i-1]] + seq[i-seq[i-1]])
    return seq[n]
```

--------------------------------------------------Mbpp/85--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the surface area of a sphere.
>>> Test Cases:
assert surfacearea_sphere(10)==1256.6370614359173
assert surfacearea_sphere(15)==2827.4333882308138
assert surfacearea_sphere(20)==5026.548245743669

### Response:
Sure, here is the Python function to calculate the surface area of a sphere:

```python
import math

def surfacearea_sphere(radius):
    surface_area = 4 * math.pi * radius ** 2
    return surface_area
```

--------------------------------------------------Mbpp/86--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find nth centered hexagonal number.
>>> Test Cases:
assert centered_hexagonal_number(10) == 271
assert centered_hexagonal_number(2) == 7
assert centered_hexagonal_number(9) == 217

### Response:
The nth centered hexagonal number can be calculated using the formula:

n(5n-3)/2

Here is the Python function:

```python
def centered_hexagonal_number(n):
    return n*(5*n-3)//2
```

--------------------------------------------------Mbpp/87--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to merge three dictionaries into a single expression.
>>> Test Cases:
assert merge_dictionaries_three({ "R": "Red", "B": "Black", "P": "Pink" }, { "G": "Green", "W": "White" },{ "O": "Orange", "W": "White", "B": "Black" })=={'B': 'Black', 'R': 'Red', 'P': 'Pink', 'G': 'Green', 'W': 'White', 'O': 'Orange'}
assert merge_dictionaries_three({ "R": "Red", "B": "Black", "P": "Pink" }, { "G": "Green", "W": "White" },{"L":"lavender","B":"Blue"})=={'W': 'White', 'P': 'Pink', 'B': 'Black', 'R': 'Red', 'G': 'Green', 'L': 'lavender'}
assert merge_dictionaries_three({ "R": "Red", "B": "Black", "P": "Pink" },{"L":"lavender","B":"Blue"},{ "G": "Green", "W": "White" })=={'B': 'Black', 'P': 'Pink', 'R': 'Red', 'G': 'Green', 'L': 'lavender', 'W': 'White'}

### Response:
Here is the Python function to merge three dictionaries into a single expression:

```python
def merge_dictionaries_three(dict1, dict2, dict3):
    merged_dict = {**dict1, **dict2, **dict3}
    return merged_dict
```

--------------------------------------------------Mbpp/88--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to get the frequency of the elements in a list.
>>> Test Cases:
assert freq_count([10,10,10,10,20,20,20,20,40,40,50,50,30])==({10: 4, 20: 4, 40: 2, 50: 2, 30: 1}) 
assert freq_count([1,2,3,4,3,2,4,1,3,1,4])==({1:3, 2:2,3:3,4:3}) 
assert freq_count([5,6,7,4,9,10,4,5,6,7,9,5])==({10:1,5:3,6:2,7:2,4:2,9:2}) 

### Response:
Here is the Python function to get the frequency of the elements in a list:

```python
def freq_count(lst):
    return {i: lst.count(i) for i in lst}
```

--------------------------------------------------Mbpp/89--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the closest smaller number than n.
>>> Test Cases:
assert closest_num(11) == 10
assert closest_num(7) == 6
assert closest_num(12) == 11

### Response:
Here is the Python function to find the closest smaller number than n:

```python
def closest_num(n):
    return n - 1
```

--------------------------------------------------Mbpp/90--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the length of the longest word.
>>> Test Cases:
assert len_log(["python","PHP","bigdata"]) == 7
assert len_log(["a","ab","abc"]) == 3
assert len_log(["small","big","tall"]) == 5

### Response:
Here is the python function to find the length of the longest word:

```python
def len_log(words):
    return max(len(word) for word in words)
```

--------------------------------------------------Mbpp/91--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if a substring is present in a given list of string values.
>>> Test Cases:
assert find_substring(["red", "black", "white", "green", "orange"],"ack")==True
assert find_substring(["red", "black", "white", "green", "orange"],"abc")==False
assert find_substring(["red", "black", "white", "green", "orange"],"ange")==True

### Response:
Here is the Python function to check if a substring is present in a given list of string values:

```python
def find_substring(lst, sub):
    return any(sub in s for s in lst)
```

--------------------------------------------------Mbpp/92--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether the given number is undulating or not.
>>> Test Cases:
assert is_undulating("1212121") == True
assert is_undulating("1991") == False
assert is_undulating("121") == True

### Response:
Here is the Python function to check whether the given number is undulating or not:

```python
def is_undulating(num_str):
    num_len = len(num_str)

    if num_len < 3:
        return False

    for i in range(1, num_len - 1):
        if num_str[i] == num_str[i - 1] or num_str[i] == num_str[i + 1]:
            return False

    return True
```

--------------------------------------------------Mbpp/93--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the value of 'a' to the power 'b'.
>>> Test Cases:
assert power(3,4) == 81
assert power(2,3) == 8
assert power(5,5) == 3125

### Response:
Here is the Python function to calculate the value of 'a' to the power 'b' using the built-in `pow()` function:

```python
def power(a, b):
    return pow(a, b)
```

--------------------------------------------------Mbpp/94--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to extract the index minimum value record from the given tuples.
>>> Test Cases:
assert index_minimum([('Rash', 143), ('Manjeet', 200), ('Varsha', 100)]) == 'Varsha'
assert index_minimum([('Yash', 185), ('Dawood', 125), ('Sanya', 175)]) == 'Dawood'
assert index_minimum([('Sai', 345), ('Salman', 145), ('Ayesha', 96)]) == 'Ayesha'

### Response:
Here is the Python function to extract the index minimum value record from the given tuples:

```python
def index_minimum(records):
    # Initialize the minimum value and name
    min_value = float('inf')
    min_name = ''

    # Iterate over the records
    for record in records:
        # If the value of the current record is less than the minimum value
        if record[1] < min_value:
            # Update the minimum value and name
            min_value = record[1]
            min_name = record[0]

    # Return the name of the record with the minimum value
    return min_name
```

--------------------------------------------------Mbpp/95--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the minimum length of sublist.
>>> Test Cases:
assert Find_Min_Length([[1],[1,2]]) == 1
assert Find_Min_Length([[1,2],[1,2,3],[1,2,3,4]]) == 2
assert Find_Min_Length([[3,3,3],[4,4,4,4]]) == 3

### Response:
Here is the Python function to find the minimum length of sublist:

```python
def Find_Min_Length(lst):
    return min(len(sublist) for sublist in lst)
```

--------------------------------------------------Mbpp/96--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the number of divisors of a given integer.
>>> Test Cases:
assert divisor(15) == 4 
assert divisor(12) == 6
assert divisor(9) == 3

### Response:
Here is the Python function to find the number of divisors of a given integer:

```python
def divisor(n):
    count = 0
    for i in range(1, n + 1):
        if n % i == 0:
            count += 1
    return count
```

--------------------------------------------------Mbpp/97--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find frequency count of list of lists.
>>> Test Cases:
assert frequency_lists([[1, 2, 3, 2], [4, 5, 6, 2], [7, 8, 9, 5]])=={1: 1, 2: 3, 3: 1, 4: 1, 5: 2, 6: 1, 7: 1, 8: 1, 9: 1}
assert frequency_lists([[1,2,3,4],[5,6,7,8],[9,10,11,12]])=={1: 1, 2: 1, 3: 1, 4: 1, 5: 1, 6: 1, 7: 1, 8: 1, 9: 1,10:1,11:1,12:1}
assert frequency_lists([[20,30,40,17],[18,16,14,13],[10,20,30,40]])=={20:2,30:2,40:2,17: 1,18:1, 16: 1,14: 1,13: 1, 10: 1}

### Response:
Here is the Python function to find frequency count of list of lists:

```python
from collections import Counter
def frequency_lists(lst):
    flattened = [item for sublist in lst for item in sublist]
    return dict(Counter(flattened))
```

--------------------------------------------------Mbpp/98--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to multiply all the numbers in a list and divide with the length of the list.
>>> Test Cases:
assert multiply_num((8, 2, 3, -1, 7))==-67.2
assert multiply_num((-10,-20,-30))==-2000.0
assert multiply_num((19,15,18))==1710.0

### Response:
Here is the Python function for your problem:

```python
def multiply_num(nums):
    product = 1
    for num in nums:
        product *= num
    result = product / len(nums)
    return round(result, 1)
```

--------------------------------------------------Mbpp/99--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert the given decimal number to its binary equivalent.
>>> Test Cases:
assert decimal_to_binary(8) == '1000'
assert decimal_to_binary(18) == '10010'
assert decimal_to_binary(7) == '111' 

### Response:
Here is the Python function to convert a decimal number to its binary equivalent:

```python
def decimal_to_binary(n):
    return bin(n).replace("0b", "")
```

--------------------------------------------------Mbpp/100--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the next smallest palindrome of a specified number.
>>> Test Cases:
assert next_smallest_palindrome(99)==101
assert next_smallest_palindrome(1221)==1331
assert next_smallest_palindrome(120)==121

### Response:
Here is a Python function that will find the next smallest palindrome of a specified number:

```python
def next_smallest_palindrome(n):
    while True:
        n += 1
        if str(n) == str(n)[::-1]:  # Check if the number is a palindrome
            return n
```

--------------------------------------------------Mbpp/101--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the kth element in the given array.
>>> Test Cases:
assert kth_element([12,3,5,7,19], 5, 2) == 3
assert kth_element([17,24,8,23], 4, 3) == 8
assert kth_element([16,21,25,36,4], 5, 4) == 36

### Response:
Here is the Python function for your problem:

```python
def kth_element(arr, n, k):
    arr.sort()
    return arr[k-1]
```

--------------------------------------------------Mbpp/102--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert snake case string to camel case string.
>>> Test Cases:
assert snake_to_camel('python_program')=='PythonProgram'
assert snake_to_camel('python_language')==('PythonLanguage')
assert snake_to_camel('programming_language')==('ProgrammingLanguage')

### Response:
Here is the Python function to convert snake case string to camel case string:

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

--------------------------------------------------Mbpp/103--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find eulerian number a(n, m).
>>> Test Cases:
assert eulerian_num(3, 1) == 4
assert eulerian_num(4, 1) == 11
assert eulerian_num(5, 3) == 26

### Response:
Eulerian numbers a(n, m) are used in combinatorics and are defined as the number of permutations of n objects taken m at a time. They are used in the calculation of binomial coefficients.

The formula to calculate Eulerian numbers is:

a(n, m) = n! / (n - m)!

Here is the Python function for your problem:

```python
import math

def eulerian_num(n, m):
    return math.factorial(n) // math.factorial(n - m)
```

--------------------------------------------------Mbpp/104--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort each sublist of strings in a given list of lists using lambda function.
>>> Test Cases:
assert sort_sublists((["green", "orange"], ["black", "white"], ["white", "black", "orange"]))==[['green', 'orange'], ['black', 'white'], ['black', 'orange', 'white']]
assert sort_sublists(([" red ","green" ],["blue "," black"],[" orange","brown"]))==[[' red ', 'green'], [' black', 'blue '], [' orange', 'brown']]
assert sort_sublists((["zilver","gold"], ["magnesium","aluminium"], ["steel", "bronze"]))==[['gold', 'zilver'],['aluminium', 'magnesium'], ['bronze', 'steel']]

### Response:
Here is the Python function to sort each sublist of strings in a given list of lists using lambda function:

```python
def sort_sublists(lst):
    return [sorted(sublist, key=lambda x: x.strip()) for sublist in lst]
```

--------------------------------------------------Mbpp/105--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count true booleans in the given list.
>>> Test Cases:
assert count([True,False,True]) == 2
assert count([False,False]) == 0
assert count([True,True,True]) == 3

### Response:
Here is the Python function to count true booleans in the given list:

```python
def count(lst):
    return lst.count(True)
```

--------------------------------------------------Mbpp/106--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to add the given list to the given tuples.
>>> Test Cases:
assert add_lists([5, 6, 7], (9, 10)) == (9, 10, 5, 6, 7)
assert add_lists([6, 7, 8], (10, 11)) == (10, 11, 6, 7, 8)
assert add_lists([7, 8, 9], (11, 12)) == (11, 12, 7, 8, 9)

### Response:
Here is the Python function to add a list to a tuple:

```python
def add_lists(lst, tup):
    return tup + tuple(lst)
```

--------------------------------------------------Mbpp/107--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count hexadecimal numbers for a given range.
>>> Test Cases:
assert count_Hexadecimal(10,15) == 6
assert count_Hexadecimal(2,4) == 0
assert count_Hexadecimal(15,16) == 1

### Response:
Here is the Python function to count hexadecimal numbers for a given range:

```python
def count_Hexadecimal(start, end):
    count = 0
    for i in range(start, end):
        if 0 <= i <= 9 or 10 <= i <= 15:
            count += 1
    return count
```

--------------------------------------------------Mbpp/109--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the count of rotations of a binary string with odd value.
>>> Test Cases:
assert odd_Equivalent("011001",6) == 3
assert odd_Equivalent("11011",5) == 4
assert odd_Equivalent("1010",4) == 2

### Response:
Here is a Python function that counts the rotations of a binary string with odd value:

```python
def odd_Equivalent(binary_string, length):
    # Initialize count of rotations
    count = 0

    # Convert binary string to list
    binary_list = list(binary_string)

    # Iterate over the binary string
    for i in range(length):
        # Create a new binary string by rotating the original string
        new_binary = binary_list[i:] + binary_list[:i]

        # Convert the new binary string to decimal
        decimal = int(''.join(new_binary), 2)

        # Check if the decimal value is odd
        if decimal % 2 != 0:
            # If it is odd, increment the count
            count += 1

    # Return the count of rotations
    return count
```

--------------------------------------------------Mbpp/110--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to extract the ranges that are missing from the given list with the given start range and end range values.
>>> Test Cases:
assert extract_missing([(6, 9), (15, 34), (48, 70)], 2, 100) == [(2, 6), (9, 100), (9, 15), (34, 100), (34, 48), (70, 100)]
assert extract_missing([(7, 2), (15, 19), (38, 50)], 5, 60) == [(5, 7), (2, 60), (2, 15), (19, 60), (19, 38), (50, 60)]
assert extract_missing([(7, 2), (15, 19), (38, 50)], 1, 52) == [(1, 7), (2, 52), (2, 15), (19, 52), (19, 38), (50, 52)]

### Response:
Here is the Python function to solve your problem:

```python
def extract_missing(ranges, start, end):
    ranges = sorted(ranges)
    missing_ranges = []

    if ranges[0][0] != start:
        missing_ranges.append((start, ranges[0][0]-1))

    for i in range(len(ranges)-1):
        if ranges[i][1]+1 != ranges[i+1][0]:
            missing_ranges.append((ranges[i][1]+1, ranges[i+1][0]-1))

    if ranges[-1][1] != end:
        missing_ranges.append((ranges[-1][1]+1, end))

    return missing_ranges
```

--------------------------------------------------Mbpp/112--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the perimeter of a cylinder.
>>> Test Cases:
assert perimeter(2,4) == 12
assert perimeter(1,2) == 6
assert perimeter(3,1) == 8

### Response:
The perimeter of a cylinder can be calculated using the formula 2*pi*r where r is the radius of the cylinder. Since the height of the cylinder is not given in your problem, we can assume that the height of the cylinder is 1. So, the perimeter of a cylinder is 2*pi*r.

Here is the Python function for your problem:

```python
import math

def perimeter(r):
    return 2 * math.pi * r
```

--------------------------------------------------Mbpp/114--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to assign frequency to each tuple in the given tuple list.
>>> Test Cases:
assert assign_freq([(6, 5, 8), (2, 7), (6, 5, 8), (6, 5, 8), (9, ), (2, 7)] ) == '[(6, 5, 8, 3), (2, 7, 2), (9, 1)]'
assert assign_freq([(4, 2, 4), (7, 1), (4, 8), (4, 2, 4), (9, 2), (7, 1)] ) == '[(4, 2, 4, 2), (7, 1, 2), (4, 8, 1), (9, 2, 1)]'
assert assign_freq([(11, 13, 10), (17, 21), (4, 2, 3), (17, 21), (9, 2), (4, 2, 3)] ) == '[(11, 13, 10, 1), (17, 21, 2), (4, 2, 3, 2), (9, 2, 1)]'

### Response:
Here is the Python function to assign frequency to each tuple in the given tuple list:

```python
from collections import Counter

def assign_freq(tuples):
    counter = Counter(tuples)
    result = ['{}{}'.format(tuple(k), v) for k, v in counter.items()]
    return '[' + ', '.join(result) + ']'
```

--------------------------------------------------Mbpp/116--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert a given tuple of positive integers into an integer.
>>> Test Cases:
assert tuple_to_int((1,2,3))==123
assert tuple_to_int((4,5,6))==456
assert tuple_to_int((5,6,7))==567

### Response:
Here is the Python function to convert a given tuple of positive integers into an integer:

```python
def tuple_to_int(input_tuple):
    return int(''.join(map(str, input_tuple)))
```

--------------------------------------------------Mbpp/117--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert all possible convertible elements in the list to float.
>>> Test Cases:
assert list_to_float( [("3", "4"), ("1", "26.45"), ("7.32", "8"), ("4", "8")] ) == '[(3.0, 4.0), (1.0, 26.45), (7.32, 8.0), (4.0, 8.0)]'
assert list_to_float( [("4", "4"), ("2", "27"), ("4.12", "9"), ("7", "11")] ) == '[(4.0, 4.0), (2.0, 27.0), (4.12, 9.0), (7.0, 11.0)]'
assert list_to_float( [("6", "78"), ("5", "26.45"), ("1.33", "4"), ("82", "13")] ) == '[(6.0, 78.0), (5.0, 26.45), (1.33, 4.0), (82.0, 13.0)]'

### Response:
Here is the Python function to convert all possible convertible elements in the list to float:

```python
def list_to_float(lst):
    result = []
    for tup in lst:
        new_tup = (float(tup[0]), float(tup[1]))
        result.append(new_tup)
    return str(result)
```

--------------------------------------------------Mbpp/118--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
[link text](https:// [link text](https:// [link text](https://)))write a function to convert a string to a list.
>>> Test Cases:
assert string_to_list("python programming")==['python','programming']
assert string_to_list("lists tuples strings")==['lists','tuples','strings']
assert string_to_list("write a program")==['write','a','program']

### Response:
Here is the Python function to convert a string to a list:

```python
def string_to_list(s):
    return s.split()
```

--------------------------------------------------Mbpp/119--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the element that appears only once in a sorted array.
>>> Test Cases:
assert search([1,1,2,2,3],5) == 3
assert search([1,1,3,3,4,4,5,5,7,7,8],11) == 8
assert search([1,2,2,3,3,4,4],7) == 1

### Response:
Here is the Python function to find the element that appears only once in a sorted array:

```python
def search(arr, n):
    for i in range(0,n,2):
        if arr[i] != arr[i+1]:
            return arr[i]
    return arr[-1]
```

--------------------------------------------------Mbpp/120--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum product from the pairs of tuples within a given list.
>>> Test Cases:
assert max_product_tuple([(2, 7), (2, 6), (1, 8), (4, 9)] )==36
assert max_product_tuple([(10,20), (15,2), (5,10)] )==200
assert max_product_tuple([(11,44), (10,15), (20,5), (12, 9)] )==484

### Response:
Here is the Python function to find the maximum product from the pairs of tuples within a given list:

```python
def max_product_tuple(lst):
    products = [x*y for (x, y) in lst]
    return max(products)
```

--------------------------------------------------Mbpp/121--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the triplet with sum of the given array
>>> Test Cases:
assert check_triplet([2, 7, 4, 0, 9, 5, 1, 3], 8, 6, 0) == True
assert check_triplet([1, 4, 5, 6, 7, 8, 5, 9], 8, 6, 0) == False
assert check_triplet([10, 4, 2, 3, 5], 5, 15, 0) == True

### Response:
Here is the Python function to solve your problem:

```python
def check_triplet(arr, a, b, c):
    arr.sort()
    for i in range(len(arr)-2):
        start = i + 1
        end = len(arr) - 1
        while start < end:
            if arr[i] + arr[start] + arr[end] == a + b + c:
                return True
            elif arr[i] + arr[start] + arr[end] < a + b + c:
                start += 1
            else:
                end -= 1
    return False
```

--------------------------------------------------Mbpp/124--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to get the angle of a complex number.
>>> Test Cases:
assert angle_complex(0,1j)==1.5707963267948966 
assert angle_complex(2,1j)==0.4636476090008061
assert angle_complex(0,2j)==1.5707963267948966

### Response:
Here is the Python function to get the angle of a complex number:

```python
import cmath

def angle_complex(real, imag):
    z = complex(real, imag)
    angle = cmath.phase(z)
    return angle
```

--------------------------------------------------Mbpp/125--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum difference between the number of 0s and number of 1s in any sub-string of the given binary string.
>>> Test Cases:
assert find_length("11000010001", 11) == 6
assert find_length("10111", 5) == 1
assert find_length("11011101100101", 14) == 2 

### Response:
Here is the Python function to solve your problem:

```python
def find_length(binary_string, length):
    max_diff = 0
    for i in range(length):
        zero_count = 0
        one_count = 0
        for j in range(i, length):
            if binary_string[j] == '0':
                zero_count += 1
            else:
                one_count += 1
            diff = zero_count - one_count
            if diff > max_diff:
                max_diff = diff
    return max_diff
```

--------------------------------------------------Mbpp/126--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of common divisors of two given numbers.
>>> Test Cases:
assert sum(10,15) == 6
assert sum(100,150) == 93
assert sum(4,6) == 3

### Response:
Here is the Python function to find the sum of common divisors of two given numbers:

```python
def sum(num1, num2):
    def common_divisors(n):
        i = 1
        divisors = []
        while(i <= n):
            if(n % i == 0):
                divisors.append(i)
            i = i + 1
        return divisors

    return sum(set(common_divisors(num1)) & set(common_divisors(num2)))
```

--------------------------------------------------Mbpp/127--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to multiply two integers without using the * operator in python.
>>> Test Cases:
assert multiply_int(10,20)==200
assert multiply_int(5,10)==50
assert multiply_int(4,8)==32

### Response:
Here is the Python function to multiply two integers without using the * operator:

```python
def multiply_int(x, y):
    result = 0
    for _ in range(y):
        result += x
    return result
```

--------------------------------------------------Mbpp/128--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to shortlist words that are longer than n from a given list of words.
>>> Test Cases:
assert long_words(3,"python is a programming language")==['python','programming','language']
assert long_words(2,"writing a program")==['writing','program']
assert long_words(5,"sorting list")==['sorting']

### Response:
Here is the Python function to shortlist words that are longer than n from a given list of words:

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

--------------------------------------------------Mbpp/129--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate magic square.
>>> Test Cases:
assert magic_square_test([[7, 12, 1, 14], [2, 13, 8, 11], [16, 3, 10, 5], [9, 6, 15, 4]])==True
assert magic_square_test([[2, 7, 6], [9, 5, 1], [4, 3, 8]])==True
assert magic_square_test([[2, 7, 6], [9, 5, 1], [4, 3, 7]])==False

### Response:
A magic square is a grid of numbers where the sum of the numbers in each row, each column, and both main diagonals are the same.

Here is a Python function that checks if a given 2D list (which represents a square) is a magic square:

```python
def magic_square_test(square):
    # Get the size of the square
    size = len(square)

    # Calculate the sum of the first row
    magic_constant = sum(square[0])

    # Check rows, columns and diagonals
    for i in range(size):
        # Check rows
        if sum(square[i]) != magic_constant:
            return False
        # Check columns
        if sum(square[j][i] for j in range(size)) != magic_constant:
            return False
    # Check main diagonal
    if sum(square[i][i] for i in range(size)) != magic_constant:
        return False
    # Check secondary diagonal
    if sum(square[i][size - i - 1] for i in range(size)) != magic_constant:
        return False

    return True
```

--------------------------------------------------Mbpp/130--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the item with maximum frequency in a given list.
>>> Test Cases:
assert max_occurrences([2,3,8,4,7,9,8,2,6,5,1,6,1,2,3,2,4,6,9,1,2])==(2, 5)
assert max_occurrences([2,3,8,4,7,9,8,7,9,15,14,10,12,13,16,16,18])==(8, 2)
assert max_occurrences([10,20,20,30,40,90,80,50,30,20,50,10])==(20, 3)

### Response:
Here is the Python function to find the item with maximum frequency in a given list:

```python
def max_occurrences(lst):
    count_dict = {}
    for num in lst:
        if num in count_dict:
            count_dict[num] += 1
        else:
            count_dict[num] = 1
    max_freq = max(count_dict.values())
    max_freq_num = [num for num, freq in count_dict.items() if freq == max_freq]
    return (max_freq_num[0], max_freq)
```

--------------------------------------------------Mbpp/131--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to reverse only the vowels of a given string.
>>> Test Cases:
assert reverse_vowels("Python") == "Python"
assert reverse_vowels("USA") == "ASU"
assert reverse_vowels("ab") == "ab"

### Response:
Here is the Python function to reverse only the vowels of a given string:

```python
def reverse_vowels(s):
    vowels = "aeiouAEIOU"
    s = list(s)
    i, j = 0, len(s) - 1

    while i < j:
        if s[i] not in vowels:
            i += 1
        elif s[j] not in vowels:
            j -= 1
        else:
            s[i], s[j] = s[j], s[i]
            i, j = i + 1, j - 1

    return "".join(s)
```

--------------------------------------------------Mbpp/132--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert tuple to a string.
>>> Test Cases:
assert tup_string(('e', 'x', 'e', 'r', 'c', 'i', 's', 'e', 's'))==("exercises")
assert tup_string(('p','y','t','h','o','n'))==("python")
assert tup_string(('p','r','o','g','r','a','m'))==("program")

### Response:
Here is the Python function to convert tuple to a string:

```python
def tup_string(test_tup):
    return ''.join(test_tup)
```

--------------------------------------------------Mbpp/133--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the sum of the negative numbers of a given list of numbers using lambda function.
>>> Test Cases:
assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32
assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52
assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894

### Response:
Here is the Python function using lambda function to calculate the sum of negative numbers in a given list:

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

--------------------------------------------------Mbpp/134--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the last element of given array is even or odd after performing an operation p times.
>>> Test Cases:
assert check_last([5,7,10],3,1) == "ODD"
assert check_last([2,3],2,3) == "EVEN"
assert check_last([1,2,3],3,1) == "ODD"

### Response:
Here is the Python function to solve your problem:

```python
def check_last(arr, p, operation):
    # Perform the operation p times
    for _ in range(p):
        arr[-1] = arr[-1] + operation

    # Check if the last element is even or odd
    if arr[-1] % 2 == 0:
        return "EVEN"
    else:
        return "ODD"
```

--------------------------------------------------Mbpp/136--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate electricity bill.
>>> Test Cases:
assert cal_electbill(75)==246.25
assert cal_electbill(265)==1442.75
assert cal_electbill(100)==327.5

### Response:
Here is the Python function to calculate electricity bill based on the given problem. The rates are as follows:

- First 75 units: 0.65 per unit
- Next 225 units: 1.25 per unit
- Next 300 units: 2.05 per unit
- Beyond 700 units: 2.75 per unit

```python
def cal_electbill(units):
    if units <= 75:
        return units * 0.65
    elif units <= 325:
        return 75 * 0.65 + (units - 75) * 1.25
    elif units <= 625:
        return 75 * 0.65 + 225 * 1.25 + (units - 325) * 2.05
    else:
        return 75 * 0.65 + 225 * 1.25 + 300 * 2.05 + (units - 625) * 2.75
```

--------------------------------------------------Mbpp/138--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the given number can be represented as sum of non-zero powers of 2 or not.
>>> Test Cases:
assert is_Sum_Of_Powers_Of_Two(10) == True
assert is_Sum_Of_Powers_Of_Two(7) == False
assert is_Sum_Of_Powers_Of_Two(14) == True

### Response:
Here is the Python function to check whether the given number can be represented as sum of non-zero powers of 2 or not.

```python
def is_Sum_Of_Powers_Of_Two(n):
    # If n is 0 or 1, it can be represented as sum of non-zero powers of 2
    if n == 0 or n == 1:
        return True

    # Initialize power of 2
    power = 0

    # While n is greater than or equal to 2 to the power of power
    while n >= 2 ** power:
        # If n is equal to 2 to the power of power, return True
        if n == 2 ** power:
            return True
        # Increment power
        power += 1

    # Return False if no power of 2 equals n
    return False
```

--------------------------------------------------Mbpp/139--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the circumference of a circle.
>>> Test Cases:
assert circle_circumference(10)==62.830000000000005
assert circle_circumference(5)==31.415000000000003
assert circle_circumference(4)==25.132

### Response:
Here is the Python function to calculate the circumference of a circle:

```python
import math

def circle_circumference(radius):
    return 2 * math.pi * radius
```

--------------------------------------------------Mbpp/140--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to extract elements that occur singly in the given tuple list.
>>> Test Cases:
assert extract_singly([(3, 4, 5), (4, 5, 7), (1, 4)]) == [3, 4, 5, 7, 1]
assert extract_singly([(1, 2, 3), (4, 2, 3), (7, 8)]) == [1, 2, 3, 4, 7, 8]
assert extract_singly([(7, 8, 9), (10, 11, 12), (10, 11)]) == [7, 8, 9, 10, 11, 12]

### Response:
Here is the Python function to extract elements that occur singly in the given tuple list:

```python
def extract_singly(tuples):
    res = []
    for tup in tuples:
        for item in tup:
            if tuples.count(item) == 1:
                res.append(item)
    return res
```

--------------------------------------------------Mbpp/141--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort a list of elements using pancake sort.
>>> Test Cases:
assert pancake_sort([15, 79, 25, 38, 69]) == [15, 25, 38, 69, 79]
assert pancake_sort([98, 12, 54, 36, 85]) == [12, 36, 54, 85, 98]
assert pancake_sort([41, 42, 32, 12, 23]) == [12, 23, 32, 41, 42]

### Response:
Here is the Python function to sort a list of elements using pancake sort:

```python
def pancake_sort(lst):
    for i in range(len(lst), 0, -1):
        # Find the index of the maximum element in the unsorted part of the list
        max_idx = lst.index(max(lst[:i]))
        # If the maximum element is not at the end of the unsorted part, flip it to the end
        if max_idx != i - 1:
            lst[:i] = lst[max_idx:i][::-1] + lst[i:]
        # Now the maximum element is at the end of the unsorted part, so flip it to the beginning
        lst[:i] = lst[:i][::-1]
    return lst
```

--------------------------------------------------Mbpp/142--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to count the same pair in three given lists.
>>> Test Cases:
assert count_samepair([1,2,3,4,5,6,7,8],[2,2,3,1,2,6,7,9],[2,1,3,1,2,6,7,9])==3
assert count_samepair([1,2,3,4,5,6,7,8],[2,2,3,1,2,6,7,8],[2,1,3,1,2,6,7,8])==4
assert count_samepair([1,2,3,4,2,6,7,8],[2,2,3,1,2,6,7,8],[2,1,3,1,2,6,7,8])==5

### Response:
Here is the Python function to count the same pair in three given lists:

```python
def count_samepair(list1, list2, list3):
    common_elements = set(list1) & set(list2) & set(list3)
    return len(common_elements)
```

--------------------------------------------------Mbpp/143--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find number of lists present in the given tuple.
>>> Test Cases:
assert find_lists(([1, 2, 3, 4], [5, 6, 7, 8])) == 2
assert find_lists(([1, 2], [3, 4], [5, 6]))  == 3
assert find_lists(([9, 8, 7, 6, 5, 4, 3, 2, 1])) == 1

### Response:
Here is the Python function to find number of lists present in the given tuple:

```python
def find_lists(test_tup):
    count = 0
    for element in test_tup:
        if isinstance(element, list):
            count += 1
    return count
```

--------------------------------------------------Mbpp/144--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of absolute differences in all pairs of the given array.
>>> Test Cases:
assert sum_Pairs([1,8,9,15,16],5) == 74
assert sum_Pairs([1,2,3,4],4) == 10
assert sum_Pairs([1,2,3,4,5,7,9,11,14],9) == 188

### Response:
Here is the Python function to find the sum of absolute differences in all pairs of the given array:

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

--------------------------------------------------Mbpp/146--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the ascii value of total characters in a string.
>>> Test Cases:
assert ascii_value_string("python")==112
assert ascii_value_string("Program")==80
assert ascii_value_string("Language")==76

### Response:
Here is the Python function to find the ascii value of total characters in a string:

```python
def ascii_value_string(s):
    return sum(ord(c) for c in s)
```

--------------------------------------------------Mbpp/161--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove all elements from a given list present in another list.
>>> Test Cases:
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]

### Response:
Here is the Python function to remove all elements from a given list present in another list:

```python
def remove_elements(lst1, lst2):
    return [i for i in lst1 if i not in lst2]
```

--------------------------------------------------Mbpp/162--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the sum of the positive integers of n+(n-2)+(n-4)... (until n-x =< 0).
>>> Test Cases:
assert sum_series(6)==12
assert sum_series(10)==30
assert sum_series(9)==25

### Response:
Here is the Python function to calculate the sum of the positive integers of n+(n-2)+(n-4)... (until n-x <= 0).

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

--------------------------------------------------Mbpp/163--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the area of a regular polygon.
>>> Test Cases:
assert area_polygon(4,20)==400.00000000000006
assert area_polygon(10,15)==1731.1969896610804
assert area_polygon(9,7)==302.90938549487214

### Response:
Here is the Python function to calculate the area of a regular polygon:

```python
import math

def area_polygon(n, s):
    # n is the number of sides
    # s is the length of a side
    # Area of a regular polygon = 1/4 * n * s^2 / tan(pi/n)
    area = 0.25 * n * s**2 / math.tan(math.pi/n)
    return area
```

--------------------------------------------------Mbpp/165--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count characters at same position in a given string (lower and uppercase characters) as in english alphabet.
>>> Test Cases:
assert count_char_position("xbcefg") == 2
assert count_char_position("ABcED") == 3
assert count_char_position("AbgdeF") == 5

### Response:
Here is the Python function to count characters at same position in a given string (lower and uppercase characters) as in english alphabet:

```python
def count_char_position(s):
    count = 0
    for i in range(len(s)):
        if chr(i+65) == s[i].upper() or chr(i+97) == s[i]:
            count += 1
    return count
```

--------------------------------------------------Mbpp/166--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the pairs with xor as an even number.
>>> Test Cases:
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

### Response:
Here is the Python function to count the pairs with xor as an even number:

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

--------------------------------------------------Mbpp/167--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find smallest power of 2 greater than or equal to n.
>>> Test Cases:
assert next_Power_Of_2(0) == 1
assert next_Power_Of_2(5) == 8
assert next_Power_Of_2(17) == 32

### Response:
Here is the Python function to find smallest power of 2 greater than or equal to n:

```python
def next_Power_Of_2(n):
    if (n and not(n & (n - 1))):
        return n

    while (n > 0):
        n >>= 1

    return 1 << n
```

--------------------------------------------------Mbpp/168--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the frequency of a number in a given array.
>>> Test Cases:
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

### Response:
Here is the Python function to find the frequency of a number in a given array:

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

--------------------------------------------------Mbpp/169--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the nth pell number.
>>> Test Cases:
assert get_pell(4) == 12
assert get_pell(7) == 169
assert get_pell(8) == 408

### Response:
The Pell numbers are defined by the recurrence relation:

P(n) = 2*P(n-1) + P(n-2)

with initial conditions:

P(0) = 0, P(1) = 1.

Here is the Python function to calculate the nth Pell number:

```python
def get_pell(n):
    if n == 0:
        return 0
    elif n == 1:
        return 1
    else:
        pell = [0, 1]
        for i in range(2, n+1):
            pell.append(2*pell[i-1] + pell[i-2])
        return pell[n]
```

--------------------------------------------------Mbpp/171--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the perimeter of a pentagon.
>>> Test Cases:
assert perimeter_pentagon(5)==25
assert perimeter_pentagon(10)==50
assert perimeter_pentagon(15)==75

### Response:
The perimeter of a pentagon can be calculated by multiplying the length of one side by 5. Here is the Python function for your problem:

```python
def perimeter_pentagon(side_length):
    return 5 * side_length
```

--------------------------------------------------Mbpp/172--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
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
>>> Test Cases:
assert count_occurance("letstdlenstdporstd") == 3
assert count_occurance("truststdsolensporsd") == 1
assert count_occurance("makestdsostdworthit") == 2

### Response:
Here is the Python function for your problem:

```python
def count_occurance(s):
    return s.count('std')
```

--------------------------------------------------Mbpp/173--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove everything except alphanumeric characters from a string.
>>> Test Cases:
assert remove_splchar('python  @#&^%$*program123')==('pythonprogram123')
assert remove_splchar('python %^$@!^&*()  programming24%$^^()    language')==('pythonprogramming24language')
assert remove_splchar('python   ^%&^()(+_)(_^&67)                  program')==('python67program')

### Response:
Here is the Python function to remove everything except alphanumeric characters from a string:

```python
def remove_splchar(s):
    return ''.join(e for e in s if e.isalnum())
```

--------------------------------------------------Mbpp/223--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check for majority element in the given sorted array.
>>> Test Cases:
assert is_majority([1, 2, 3, 3, 3, 3, 10], 7, 3) == True
assert is_majority([1, 1, 2, 4, 4, 4, 6, 6], 8, 4) == False
assert is_majority([1, 1, 1, 2, 2], 5, 1) == True

### Response:
Here is the Python function to check for majority element in the given sorted array:

```python
def is_majority(arr, size, target):
    i = 0
    while i < size:
        if arr[i] == target:
            break
        i += 1

    if i == size:
        return False

    if (i + size//2 < size) and (arr[i + size//2] == target):
        return True
    else:
        return False
```

--------------------------------------------------Mbpp/224--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count set bits of a given number.
>>> Test Cases:
assert count_Set_Bits(2) == 1
assert count_Set_Bits(4) == 1
assert count_Set_Bits(6) == 2

### Response:
Here is the Python function to count set bits of a given number:

```python
def count_Set_Bits(n):
    count = 0
    while (n):
        count += n & 1
        n >>= 1
    return count
```

--------------------------------------------------Mbpp/225--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the minimum element in a sorted and rotated array.
>>> Test Cases:
assert find_Min([1,2,3,4,5],0,4) == 1
assert find_Min([4,6,8],0,2) == 4
assert find_Min([2,3,5,7,9],0,4) == 2

### Response:
Here is the Python function to find the minimum element in a sorted and rotated array:

```python
def find_Min(arr,low,high):
    while (low < high):
        mid = low + (high - low) // 2
        if (arr[mid] == arr[high]):
            high -= 1
        elif (arr[mid] > arr[high]):
            low = mid + 1
        else:
            high = mid
    return arr[low]
```

--------------------------------------------------Mbpp/227--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find minimum of three numbers.
>>> Test Cases:
assert min_of_three(10,20,0)==0
assert min_of_three(19,15,18)==15
assert min_of_three(-10,-20,-30)==-30

### Response:
Here is the Python function to find minimum of three numbers:

```python
def min_of_three(a, b, c):
    return min(a, b, c)
```

--------------------------------------------------Mbpp/228--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether all the bits are unset in the given range or not.
>>> Test Cases:
assert all_Bits_Set_In_The_Given_Range(4,1,2) == True
assert all_Bits_Set_In_The_Given_Range(17,2,4) == True
assert all_Bits_Set_In_The_Given_Range(39,4,6) == False

### Response:
Here is the Python function to check whether all the bits are unset in the given range or not:

```python
def all_Bits_Set_In_The_Given_Range(num, start, end):
    mask = ((1 << end) - 1) ^ ((1 << (start - 1)) - 1)
    return (num & mask) == mask
```

--------------------------------------------------Mbpp/230--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to replace blank spaces with any character in a string.
>>> Test Cases:
assert replace_blank("hello people",'@')==("hello@people")
assert replace_blank("python program language",'$')==("python$program$language")
assert replace_blank("blank space","-")==("blank-space")

### Response:
Here is the Python function to replace blank spaces with any character in a string:

```python
def replace_blank(s, char):
    return s.replace(' ', char)
```

--------------------------------------------------Mbpp/231--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum sum in the given right triangle of numbers.
>>> Test Cases:
assert max_sum([[1], [2,1], [3,3,2]], 3) == 6
assert max_sum([[1], [1, 2], [4, 1, 12]], 3) == 15 
assert max_sum([[2], [3,2], [13,23,12]], 3) == 28

### Response:
Here is the Python function to solve your problem:

```python
def max_sum(triangle, n):
    for i in range(n - 1, 0, -1):
        for j in range(i):
            triangle[i - 1][j] += max(triangle[i][j], triangle[i][j + 1])
    return triangle[0][0]
```

--------------------------------------------------Mbpp/233--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the lateral surface area of a cylinder.
>>> Test Cases:
assert lateralsuface_cylinder(10,5)==314.15000000000003
assert lateralsuface_cylinder(4,5)==125.66000000000001
assert lateralsuface_cylinder(4,10)==251.32000000000002

### Response:
Here is the Python function to calculate the lateral surface area of a cylinder:

```python
import math

def lateralsuface_cylinder(r, h):
    return 2 * math.pi * r * h
```

--------------------------------------------------Mbpp/234--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the volume of a cube.
>>> Test Cases:
assert volume_cube(3)==27
assert volume_cube(2)==8
assert volume_cube(5)==125

### Response:
Here is the Python function to calculate the volume of a cube:

```python
def volume_cube(side_length):
    return side_length ** 3
```

--------------------------------------------------Mbpp/235--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to set all even bits of a given number.
>>> Test Cases:
assert even_bit_set_number(10) == 10
assert even_bit_set_number(20) == 30
assert even_bit_set_number(30) == 30

### Response:
Here is the Python function to set all even bits of a given number:

```python
def even_bit_set_number(n):
    binary = bin(n)[2:]  # Convert to binary and remove '0b' prefix
    binary = '0' + binary[1:]  # Set the first bit as 0
    binary = list(binary)  # Convert to list for easy manipulation

    for i in range(0, len(binary), 2):  # Iterate over even indices
        binary[i] = '1'  # Set the bit to 1

    return int(''.join(binary), 2)  # Convert back to integer
```

--------------------------------------------------Mbpp/236--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the maximum number of equilateral triangles that can be formed within a given equilateral triangle.
>>> Test Cases:
assert No_of_Triangle(4,2) == 7
assert No_of_Triangle(4,3) == 3
assert No_of_Triangle(1,3) == -1

### Response:
The number of equilateral triangles that can be formed within a given equilateral triangle can be calculated using the formula:

No_of_Triangle = (n * (n + 1) * (n + 2)) / 6 - 1

where n is the number of layers of the given equilateral triangle.

However, if n is less than 2, the function should return -1 as it's impossible to form any triangle with less than 2 layers.

Here is the Python function:

```python
def No_of_Triangle(n, m):
    if n < 2:
        return -1
    else:
        return int((n * (n + 1) * (n + 2)) / 6 - 1 - m)
```

--------------------------------------------------Mbpp/238--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count number of non-empty substrings of a given string.
>>> Test Cases:
assert number_of_substrings("abc") == 6
assert number_of_substrings("abcd") == 10
assert number_of_substrings("abcde") == 15

### Response:
Here is the Python function to count number of non-empty substrings of a given string:

```python
def number_of_substrings(s):
    length = len(s)
    return (length * (length + 1)) // 2
```

--------------------------------------------------Mbpp/239--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the number of possible sequences of length n such that each of the next element is greater than or equal to twice of the previous element but less than or equal to m.
>>> Test Cases:
assert get_total_number_of_sequences(10, 4) == 4
assert get_total_number_of_sequences(5, 2) == 6
assert get_total_number_of_sequences(16, 3) == 84

### Response:
Here is a Python function using dynamic programming to solve your problem:

```python
def get_total_number_of_sequences(m, n):
    dp = [[0 for _ in range(m+1)] for _ in range(n+1)]
    for i in range(1, m+1):
        dp[1][i] = 1
    for i in range(2, n+1):
        for j in range(1, m+1):
            for k in range(j//2, j):
                dp[i][j] += dp[i-1][k]
    return sum(dp[n])
```

--------------------------------------------------Mbpp/240--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to replace the last element of the list with another list.
>>> Test Cases:
assert replace_list([1, 3, 5, 7, 9, 10],[2, 4, 6, 8])==[1, 3, 5, 7, 9, 2, 4, 6, 8]
assert replace_list([1,2,3,4,5],[5,6,7,8])==[1,2,3,4,5,6,7,8]
assert replace_list(["red","blue","green"],["yellow"])==["red","blue","yellow"]

### Response:
Here is the Python function to replace the last element of the list with another list:

```python
def replace_list(original_list, new_list):
    original_list[-1:] = new_list
    return original_list
```

--------------------------------------------------Mbpp/241--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to generate a 3d array having each element as '*'.
>>> Test Cases:
assert array_3d(6,4,3)==[[['*', '*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*', '*']], [['*', '*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*', '*']], [['*', '*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*', '*']]]
assert array_3d(5,3,4)==[[['*', '*', '*', '*', '*'], ['*', '*', '*', '*','*'], ['*', '*', '*', '*', '*']], [['*', '*', '*', '*', '*'],['*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*']], [['*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*']], [['*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*'], ['*', '*', '*', '*', '*']]]
assert array_3d(1,2,3)==[[['*'],['*']],[['*'],['*']],[['*'],['*']]]

### Response:
Here is the Python function to generate a 3d array having each element as '*'.

```python
def array_3d(x, y, z):
    return [[['*' for _ in range(x)] for _ in range(y)] for _ in range(z)]
```

--------------------------------------------------Mbpp/243--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort the given list based on the occurrence of first element of tuples.
>>> Test Cases:
assert sort_on_occurence([(1, 'Jake'), (2, 'Bob'), (1, 'Cara')]) == [(1, 'Jake', 'Cara', 2), (2, 'Bob', 1)]
assert sort_on_occurence([('b', 'ball'), ('a', 'arm'), ('b', 'b'), ('a', 'ant')]) == [('b', 'ball', 'b', 2), ('a', 'arm', 'ant', 2)]
assert sort_on_occurence([(2, 'Mark'), (3, 'Maze'), (2, 'Sara')]) == [(2, 'Mark', 'Sara', 2), (3, 'Maze', 1)]

### Response:
Here is a Python function that sorts the given list based on the occurrence of first element of tuples:

```python
from collections import Counter, defaultdict

def sort_on_occurence(lst):
    # Count the occurrences of the first elements in the tuples
    counter = Counter(x[0] for x in lst)
    
    # Group the tuples by the first element
    grouped = defaultdict(list)
    for x in lst:
        grouped[x[0]].append(x[1])
    
    # Create the result list
    res = []
    for key, count in counter.items():
        # Add the tuple to the result list with the count of the first element
        res.append((key, *grouped[key], count))
    
    # Sort the result list by the count of the first element
    res.sort(key=lambda x: x[3], reverse=True)
    
    # Remove the count from the tuples
    res = [tuple(x[:3] + x[4:]) for x in res]
    
    return res
```

--------------------------------------------------Mbpp/245--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum sum of bi-tonic sub-sequence for the given array.
>>> Test Cases:
assert max_sum([1, 15, 51, 45, 33, 100, 12, 18, 9], 9) == 194
assert max_sum([80, 60, 30, 40, 20, 10], 6) == 210
assert max_sum([2, 3 ,14, 16, 21, 23, 29, 30], 8) == 138

### Response:
Here is a Python function that uses dynamic programming to solve this problem. The function first finds the longest bi-tonic sub-sequence in the given array, and then calculates the maximum sum of bi-tonic sub-sequences by adding the maximum element in the array to the sum of the maximum sum of bi-tonic sub-sequences of the array without the maximum element.

```python
def max_sum(arr, n):
    if n == 1:
        return arr[0]

    # Initialize variables
    msis = [0]*n
    msds = [0]*n
    res = float('-inf')

    # Initialize msis and msds values
    msis[0] = arr[0]
    msds[n-1] = arr[n-1]

    # Calculate msis values
    for i in range(1, n):
        for j in range(i):
            if arr[i] > arr[j] and msis[i] < msis[j] + arr[i]:
                msis[i] = msis[j] + arr[i]

    # Calculate msds values
    for i in range(n-2, -1, -1):
        for j in range(n-1, i, -1):
            if arr[i] > arr[j] and msds[i] < msds[j] + arr[i]:
                msds[i] = msds[j] + arr[i]

    # Calculate maximum sum of bi-tonic sub-sequences
    for i in range(n):
        res = max(res, msis[i] + msds[i] - arr[i])

    return res
```

--------------------------------------------------Mbpp/246--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function for computing square roots using the babylonian method.
>>> Test Cases:
assert babylonian_squareroot(10)==3.162277660168379
assert babylonian_squareroot(2)==1.414213562373095
assert babylonian_squareroot(9)==3.0

### Response:
Here is the Python function for computing square roots using the babylonian method:

```python
def babylonian_squareroot(n):
    x = n
    y = 1
    e = 0.000001  # This defines the accuracy level
    while (x - y > e):
        x = (x + y)/2
        y = n/x
    return x
```

--------------------------------------------------Mbpp/248--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the harmonic sum of n-1.
>>> Test Cases:
assert harmonic_sum(7) == 2.5928571428571425
assert harmonic_sum(4) == 2.083333333333333
assert harmonic_sum(19) == 3.547739657143682

### Response:
Here is the Python function to calculate the harmonic sum of n-1:

```python
def harmonic_sum(n):
    if n <= 0:
        return 0
    else:
        return 1 / n + harmonic_sum(n - 1)
```

--------------------------------------------------Mbpp/250--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the occcurences of an element in a tuple.
>>> Test Cases:
assert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2),4) == 0
assert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2),10) == 3
assert count_X((10, 8, 5, 2, 10, 15, 10, 8, 5, 8, 8, 2),8) == 4

### Response:
Here is the Python function to count the occurrences of an element in a tuple:

```python
def count_X(test_tup, X):
    return test_tup.count(X)
```

--------------------------------------------------Mbpp/251--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to insert an element before each element of a list.
>>> Test Cases:
assert insert_element(['Red', 'Green', 'Black'] ,'c')==['c', 'Red', 'c', 'Green', 'c', 'Black'] 
assert insert_element(['python', 'java'] ,'program')==['program', 'python', 'program', 'java'] 
assert insert_element(['happy', 'sad'] ,'laugh')==['laugh', 'happy', 'laugh', 'sad'] 

### Response:
Here is the Python function to insert an element before each element of a list:

```python
def insert_element(lst, elem):
    return [elem]*(len(lst)*2-1) + lst
```

--------------------------------------------------Mbpp/252--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to convert complex numbers to polar coordinates.
>>> Test Cases:
assert convert(1) == (1.0, 0.0)
assert convert(4) == (4.0,0.0)
assert convert(5) == (5.0,0.0)

### Response:
Here is the Python function to convert complex numbers to polar coordinates:

```python
import cmath

def convert(n):
    complex_num = complex(0, n)
    polar_coord = cmath.polar(complex_num)
    return (polar_coord[0], polar_coord[1])
```

--------------------------------------------------Mbpp/253--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count integers from a given list.
>>> Test Cases:
assert count_integer([1,2,'abc',1.2]) == 2
assert count_integer([1,2,3]) == 3
assert count_integer([1,1.2,4,5.1]) == 2

### Response:
Here is the Python function to count integers from a given list:

```python
def count_integer(lst):
    return sum(isinstance(i, int) for i in lst)
```

--------------------------------------------------Mbpp/254--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find all words starting with 'a' or 'e' in a given string.
>>> Test Cases:
assert words_ae("python programe")==['ame']
assert words_ae("python programe language")==['ame','anguage']
assert words_ae("assert statement")==['assert', 'atement']

### Response:
Here is the Python function that will solve your problem:

```python
def words_ae(s):
    words = s.split()
    return [word for word in words if word.lower().startswith('a') or word.lower().startswith('e')]
```

--------------------------------------------------Mbpp/256--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the number of prime numbers less than a given non-negative number.
>>> Test Cases:
assert count_Primes_nums(5) == 2
assert count_Primes_nums(10) == 4
assert count_Primes_nums(100) == 25

### Response:
Here is the python function to count the number of prime numbers less than a given non-negative number:

```python
def count_Primes_nums(n):
    primes = [True] * n
    p = 2
    while p * p <= n:
        if primes[p]:
            for i in range(p * p, n, p):
                primes[i] = False
        p += 1
    count = 0
    for i in range(2, n):
        if primes[i]:
            count += 1
    return count
```

--------------------------------------------------Mbpp/257--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to swap two numbers.
>>> Test Cases:
assert swap_numbers(10,20)==(20,10)
assert swap_numbers(15,17)==(17,15)
assert swap_numbers(100,200)==(200,100)

### Response:
Here is the Python function to swap two numbers:

```python
def swap_numbers(a, b):
    return b, a
```

--------------------------------------------------Mbpp/258--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find number of odd elements in the given list using lambda function.
>>> Test Cases:
assert count_odd([1, 2, 3, 5, 7, 8, 10])==4
assert count_odd([10,15,14,13,-18,12,-20])==2
assert count_odd([1, 2, 4, 8, 9])==2

### Response:
Here is the Python function using lambda function to count the odd elements in the given list:

```python
def count_odd(lst):
    return len(list(filter(lambda x: x % 2 != 0, lst)))
```

--------------------------------------------------Mbpp/260--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the nth newman–shanks–williams prime number.
>>> Test Cases:
assert newman_prime(3) == 7 
assert newman_prime(4) == 17
assert newman_prime(5) == 41

### Response:
Here is a Python function that calculates the nth Newman–Shanks–Williams prime number:

```python
def is_prime(n):
    if n < 2:
        return False
    for i in range(2, int(n**0.5) + 1):
        if n % i == 0:
            return False
    return True

def newman_prime(n):
    count = 0
    num = 2
    while count < n:
        if is_prime(num):
            count += 1
        num += 1
    return num - 1
```

--------------------------------------------------Mbpp/261--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to perform mathematical division operation across the given tuples.
>>> Test Cases:
assert division_elements((10, 4, 6, 9),(5, 2, 3, 3)) == (2, 2, 2, 3)
assert division_elements((12, 6, 8, 16),(6, 3, 4, 4)) == (2, 2, 2, 4)
assert division_elements((20, 14, 36, 18),(5, 7, 6, 9)) == (4, 2, 6, 2)

### Response:
Here is the Python function `division_elements` that performs mathematical division operation across the given tuples:

```python
def division_elements(tup1, tup2):
    return tuple(a // b for a, b in zip(tup1, tup2))
```

--------------------------------------------------Mbpp/262--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to split a given list into two parts where the length of the first part of the list is given.
>>> Test Cases:
assert split_two_parts([1,1,2,3,4,4,5,1],3)==([1, 1, 2], [3, 4, 4, 5, 1])
assert split_two_parts(['a', 'b', 'c', 'd'],2)==(['a', 'b'], ['c', 'd'])
assert split_two_parts(['p', 'y', 't', 'h', 'o', 'n'],4)==(['p', 'y', 't', 'h'], ['o', 'n'])

### Response:
Here is the Python function to split a given list into two parts where the length of the first part of the list is given:

```python
def split_two_parts(lst, part1_length):
    return lst[:part1_length], lst[part1_length:]
```

--------------------------------------------------Mbpp/263--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to merge two dictionaries.
>>> Test Cases:
assert merge_dict({'a': 100, 'b': 200},{'x': 300, 'y': 200})=={'x': 300, 'y': 200, 'a': 100, 'b': 200}
assert merge_dict({'a':900,'b':900,'d':900},{'a':900,'b':900,'d':900})=={'a':900,'b':900,'d':900,'a':900,'b':900,'d':900}
assert merge_dict({'a':10,'b':20},{'x':30,'y':40})=={'x':30,'y':40,'a':10,'b':20}

### Response:
Here is the Python function to merge two dictionaries:

```python
def merge_dict(dict1, dict2):
    merged = {**dict1, **dict2}
    return merged
```

--------------------------------------------------Mbpp/265--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to split a list for every nth element.
>>> Test Cases:
assert list_split(['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n'],3)==[['a', 'd', 'g', 'j', 'm'], ['b', 'e', 'h', 'k', 'n'], ['c', 'f', 'i', 'l']] 
assert list_split([1,2,3,4,5,6,7,8,9,10,11,12,13,14],3)==[[1,4,7,10,13], [2,5,8,11,14], [3,6,9,12]] 
assert list_split(['python','java','C','C++','DBMS','SQL'],2)==[['python', 'C', 'DBMS'], ['java', 'C++', 'SQL']] 

### Response:
Here is the Python function to split a list for every nth element:

```python
def list_split(lst, n):
    return [lst[i:i+n] for i in range(0, len(lst), n)]
```

--------------------------------------------------Mbpp/266--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the lateral surface area of a cube.
>>> Test Cases:
assert lateralsurface_cube(5)==100
assert lateralsurface_cube(9)==324
assert lateralsurface_cube(10)==400

### Response:
The lateral surface area of a cube is calculated by multiplying the length of a side by the number of faces (which is 4 in this case). Here is the Python function for your problem:

```python
def lateralsurface_cube(side_length):
    return 4 * side_length ** 2
```

--------------------------------------------------Mbpp/267--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of squares of first n odd natural numbers.
>>> Test Cases:
assert square_Sum(2) == 10
assert square_Sum(3) == 35
assert square_Sum(4) == 84

### Response:
Here is the Python function to find the sum of squares of first n odd natural numbers:

```python
def square_Sum(n):
    sum = 0
    for i in range(n):
        sum += (2*i + 1)**2
    return sum
```

--------------------------------------------------Mbpp/268--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the n'th star number.
>>> Test Cases:
assert find_star_num(3) == 37
assert find_star_num(4) == 73
assert find_star_num(5) == 121

### Response:
The nth star number can be found using the formula: n*(7*n - 5) / 2. Here is the Python function:

```python
def find_star_num(n):
    return n * (7 * n - 5) // 2
```

--------------------------------------------------Mbpp/269--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the ascii value of a character.
>>> Test Cases:
assert ascii_value('A')==65
assert ascii_value('R')==82
assert ascii_value('S')==83

### Response:
Here is the Python function to find the ASCII value of a character:

```python
def ascii_value(char):
    return ord(char)
```

--------------------------------------------------Mbpp/270--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of even numbers at even positions.
>>> Test Cases:
assert sum_even_and_even_index([5, 6, 12, 1, 18, 8],6) == 30
assert sum_even_and_even_index([3, 20, 17, 9, 2, 10, 18, 13, 6, 18],10) == 26
assert sum_even_and_even_index([5, 6, 12, 1],4) == 12

### Response:
Here is the Python function to solve your problem:

```python
def sum_even_and_even_index(nums,n):
    return sum(num for idx, num in enumerate(nums) if idx % 2 == 0 and num % 2 == 0)
```

--------------------------------------------------Mbpp/271--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of fifth power of first n even natural numbers.
>>> Test Cases:
assert even_Power_Sum(2) == 1056
assert even_Power_Sum(3) == 8832
assert even_Power_Sum(1) == 32

### Response:
Here is the Python function to find the sum of fifth power of first n even natural numbers:

```python
def even_Power_Sum(n):
    sum = 0
    for i in range(2, 2*n+1, 2):
        sum += i**5
    return sum
```

--------------------------------------------------Mbpp/272--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to perfom the rear element extraction from list of tuples records.
>>> Test Cases:
assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19]
assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45]
assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]

### Response:
Here is the Python function to extract the rear element from list of tuples records:

```python
def rear_extract(records):
    return [record[-1] for record in records]
```

--------------------------------------------------Mbpp/273--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to substract the contents of one tuple with corresponding index of other tuple.
>>> Test Cases:
assert substract_elements((10, 4, 5), (2, 5, 18)) == (8, -1, -13)
assert substract_elements((11, 2, 3), (24, 45 ,16)) == (-13, -43, -13)
assert substract_elements((7, 18, 9), (10, 11, 12)) == (-3, 7, -3)

### Response:
Here is the Python function to subtract the contents of one tuple with corresponding index of other tuple:

```python
def substract_elements(tup1, tup2):
    return tuple(x1 - x2 for x1, x2 in zip(tup1, tup2))
```

--------------------------------------------------Mbpp/274--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find sum of even index binomial coefficients.
>>> Test Cases:
assert even_binomial_Coeff_Sum(4) == 8
assert even_binomial_Coeff_Sum(6) == 32
assert even_binomial_Coeff_Sum(2) == 2

### Response:
Here is the Python function to find sum of even index binomial coefficients:

```python
def even_binomial_Coeff_Sum(n):
    # Initialize the sum
    sum = 0
    # Loop through the even indices
    for i in range(0, n, 2):
        # Calculate the binomial coefficient
        coeff = 1
        for j in range(i+1):
            coeff = coeff * (n - j) // (j + 1)
        # Add the coefficient to the sum
        sum += coeff
    return sum
```

--------------------------------------------------Mbpp/275--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the position of the last removed element from the given array.
>>> Test Cases:
assert get_Position([2,5,4],3,2) == 2
assert get_Position([4,3],2,2) == 2
assert get_Position([1,2,3,4],4,1) == 4

### Response:
Here is the Python function to find the position of the last removed element from the given array:

```python
def get_Position(arr, size_of_array, size_to_remove):
    # Subtract the size to remove from the size of the array
    last_removed_position = size_of_array - size_to_remove
    return last_removed_position
```

--------------------------------------------------Mbpp/277--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to filter a dictionary based on values.
>>> Test Cases:
assert dict_filter({'Cierra Vega': 175, 'Alden Cantrell': 180, 'Kierra Gentry': 165, 'Pierre Cox': 190},170)=={'Cierra Vega': 175, 'Alden Cantrell': 180, 'Pierre Cox': 190}
assert dict_filter({'Cierra Vega': 175, 'Alden Cantrell': 180, 'Kierra Gentry': 165, 'Pierre Cox': 190},180)=={ 'Alden Cantrell': 180, 'Pierre Cox': 190}
assert dict_filter({'Cierra Vega': 175, 'Alden Cantrell': 180, 'Kierra Gentry': 165, 'Pierre Cox': 190},190)=={ 'Pierre Cox': 190}

### Response:
Here is the Python function to filter a dictionary based on values:

```python
def dict_filter(d, value):
    return {k: v for k, v in d.items() if v >= value}
```

--------------------------------------------------Mbpp/278--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the element count that occurs before the record in the given tuple.
>>> Test Cases:
assert count_first_elements((1, 5, 7, (4, 6), 10) ) == 3
assert count_first_elements((2, 9, (5, 7), 11) ) == 2
assert count_first_elements((11, 15, 5, 8, (2, 3), 8) ) == 4

### Response:
Here is a Python function that counts the number of elements before the record in the given tuple:

```python
def count_first_elements(input_tuple):
    count = 0
    for element in input_tuple:
        if isinstance(element, tuple):
            break
        count += 1
    return count
```

--------------------------------------------------Mbpp/279--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the nth decagonal number.
>>> Test Cases:
assert is_num_decagonal(3) == 27
assert is_num_decagonal(7) == 175
assert is_num_decagonal(10) == 370

### Response:
The nth decagonal number can be found using the formula: n*(7*n-5)/2. Here is the Python function:

```python
def is_num_decagonal(n):
    return n*(7*n-5)//2
```

--------------------------------------------------Mbpp/280--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to search an element in the given array by using sequential search.
>>> Test Cases:
assert sequential_search([11,23,58,31,56,77,43,12,65,19],31) == (True, 3)
assert sequential_search([12, 32, 45, 62, 35, 47, 44, 61],61) == (True, 7)
assert sequential_search([9, 10, 17, 19, 22, 39, 48, 56],48) == (True, 6)

### Response:
Here is the Python function for sequential search:

```python
def sequential_search(arr, x):
    for i in range(len(arr)):
        if arr[i] == x:
            return (True, i)
    return (False, -1)
```

--------------------------------------------------Mbpp/281--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check if the elements of a given list are unique or not.
>>> Test Cases:
assert all_unique([1,2,3]) == True
assert all_unique([1,2,1,2]) == False
assert all_unique([1,2,3,4,5]) == True

### Response:
Here is the python function to check if the elements of a given list are unique or not:

```python
def all_unique(lst):
    return len(lst) == len(set(lst))
```

--------------------------------------------------Mbpp/282--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to substaract two lists using map and lambda function.
>>> Test Cases:
assert sub_list([1, 2, 3],[4,5,6])==[-3,-3,-3]
assert sub_list([1,2],[3,4])==[-2,-2]
assert sub_list([90,120],[50,70])==[40,50]

### Response:
Sure, here is the Python function using map and lambda function to subtract two lists:

```python
def sub_list(list1, list2):
    return list(map(lambda x, y: x - y, list1, list2))
```

--------------------------------------------------Mbpp/283--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the frequency of each digit is less than or equal to the digit itself.
>>> Test Cases:
assert validate(1234) == True
assert validate(51241) == False
assert validate(321) == True

### Response:
Here is the Python function to solve your problem:

```python
def validate(n):
    freq = [0]*10
    while n > 0:
        digit = n % 10
        freq[digit] += 1
        if freq[digit] > digit:
            return False
        n = n // 10
    return True
```

--------------------------------------------------Mbpp/284--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether all items of a list are equal to a given string.
>>> Test Cases:
assert check_element(["green", "orange", "black", "white"],'blue')==False
assert check_element([1,2,3,4],7)==False
assert check_element(["green", "green", "green", "green"],'green')==True

### Response:
Here is the Python function to check whether all items of a list are equal to a given string:

```python
def check_element(lst, s):
    return all(el == s for el in lst)
```

--------------------------------------------------Mbpp/285--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function that matches a string that has an a followed by two to three 'b'.
>>> Test Cases:
assert text_match_two_three("ac")==('Not matched!')
assert text_match_two_three("dc")==('Not matched!')
assert text_match_two_three("abbbba")==('Found a match!')

### Response:
Here is the Python function that matches a string that has an 'a' followed by two to three 'b':

```python
import re

def text_match_two_three(text):
    pattern = 'ab{2,3}'
    if re.search(pattern, text):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------Mbpp/286--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the largest sum of contiguous array in the modified array which is formed by repeating the given array k times.
>>> Test Cases:
assert max_sub_array_sum_repeated([10, 20, -30, -1], 4, 3) == 30
assert max_sub_array_sum_repeated([-1, 10, 20], 3, 2) == 59
assert max_sub_array_sum_repeated([-1, -2, -3], 3, 3) == -1

### Response:
Here is the Python function to solve your problem:

```python
def max_sub_array_sum_repeated(arr, k, n):
    # Calculate the sum of the array
    total_sum = sum(arr)
    
    # Calculate the maximum subarray sum for the original array
    max_sum = max_sub_array_sum(arr, n)
    
    # Calculate the maximum subarray sum for the repeated array
    max_sum_repeated = max_sum * k
    
    # If the total sum is positive, we can repeat the array and get more profit
    if total_sum > 0:
        max_sum_repeated += (max_sum_repeated // total_sum) * total_sum
    
    return max_sum_repeated

def max_sub_array_sum(arr, n):
    # Initialize the maximum sum and the current sum
    max_sum = float('-inf')
    cur_sum = 0
    
    # Iterate over the array
    for _ in range(n):
        for i in arr:
            # Update the current sum
            cur_sum += i
            
            # Update the maximum sum
            max_sum = max(max_sum, cur_sum)
            
            # If the current sum is negative, reset it to 0
            if cur_sum < 0:
                cur_sum = 0
    
    return max_sum
```

--------------------------------------------------Mbpp/287--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of squares of first n even natural numbers.
>>> Test Cases:
assert square_Sum(2) == 20
assert square_Sum(3) == 56
assert square_Sum(4) == 120

### Response:
Here is the Python function to find the sum of squares of first n even natural numbers:

```python
def square_Sum(n):
    sum = 0
    for i in range(2, 2*n+1, 2):
        sum += i**2
    return sum
```

--------------------------------------------------Mbpp/288--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to count array elements having modular inverse under given prime number p equal to itself.
>>> Test Cases:
assert modular_inverse([ 1, 6, 4, 5 ], 4, 7) == 2
assert modular_inverse([1, 3, 8, 12, 12], 5, 13) == 3
assert modular_inverse([2, 3, 4, 5], 4, 6) == 1

### Response:
Here is the Python function to count array elements having modular inverse under given prime number p equal to itself:

```python
def modular_inverse(arr, n, p):
    count = 0
    for i in range(n):
        if arr[i] % p == pow(arr[i], p-2, p):
            count += 1
    return count
```

--------------------------------------------------Mbpp/291--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find out the number of ways of painting the fence such that at most 2 adjacent posts have the same color for the given fence with n posts and k colors.
>>> Test Cases:
assert count_no_of_ways(2, 4) == 16
assert count_no_of_ways(3, 2) == 6
assert count_no_of_ways(4, 4) == 228

### Response:
Here is a Python function that uses dynamic programming to solve this problem. The idea is to maintain a 2D array dp where dp[i][j] represents the number of ways to paint the fence with i posts and j colors.

```python
def count_no_of_ways(n, k):
    if n == 0:
        return 0
    if n == 1:
        return k

    dp = [[0 for _ in range(k)] for _ in range(n+1)]
    dp[1] = [k] + [0] * (n-1)
    dp[2] = [k*k] + [0] * (n-2)

    for i in range(3, n+1):
        dp[i][0] = dp[i-1][1] + dp[i-1][0]
        dp[i][1] = dp[i-1][0] + dp[i-2][0]
        for j in range(2, k):
            dp[i][j] = dp[i-1][j-1] + dp[i-2][j-1]

    return sum(dp[-1])
```

--------------------------------------------------Mbpp/293--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the third side of a right angled triangle.
>>> Test Cases:
assert otherside_rightangle(7,8)==10.63014581273465
assert otherside_rightangle(3,4)==5
assert otherside_rightangle(7,15)==16.55294535724685

### Response:
Here is the Python function to calculate the third side of a right-angled triangle:

```python
import math

def otherside_rightangle(a, b):
    return math.sqrt(a**2 + b**2)
```

--------------------------------------------------Mbpp/294--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum value in a given heterogeneous list.
>>> Test Cases:
assert max_val(['Python', 3, 2, 4, 5, 'version'])==5
assert max_val(['Python', 15, 20, 25])==25
assert max_val(['Python', 30, 20, 40, 50, 'version'])==50

### Response:
Here is the Python function to find the maximum value in a given heterogeneous list:

```python
def max_val(lst):
    return max(lst, key=lambda x: x if isinstance(x, int) else float('-inf'))
```

--------------------------------------------------Mbpp/295--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to return the sum of all divisors of a number.
>>> Test Cases:
assert sum_div(8)==7
assert sum_div(12)==16
assert sum_div(7)==1

### Response:
Here is the Python function to calculate the sum of all divisors of a number:

```python
def sum_div(n):
    sum = 0
    for i in range(1, n + 1):
        if n % i == 0:
            sum += i
    return sum
```

--------------------------------------------------Mbpp/296--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count inversions in an array.
>>> Test Cases:
assert get_Inv_Count([1,20,6,4,5],5) == 5
assert get_Inv_Count([1,2,1],3) == 1
assert get_Inv_Count([1,2,5,6,1],5) == 3

### Response:
Here is the Python function to count inversions in an array:

```python
def get_Inv_Count(arr, n):
    inv_count = 0
    for i in range(n):
        for j in range(i + 1, n):
            if arr[i] > arr[j]:
                inv_count += 1
    return inv_count
```

--------------------------------------------------Mbpp/297--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to flatten a given nested list structure.
>>> Test Cases:
assert flatten_list([0, 10, [20, 30], 40, 50, [60, 70, 80], [90, 100, 110, 120]])==[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120]
assert flatten_list([[10, 20], [40], [30, 56, 25], [10, 20], [33], [40]])==[10, 20, 40, 30, 56, 25, 10, 20, 33, 40]
assert flatten_list([[1,2,3], [4,5,6], [10,11,12], [7,8,9]])==[1, 2, 3, 4, 5, 6, 10, 11, 12, 7, 8, 9]

### Response:
Here is a Python function that flattens a nested list:

```python
def flatten_list(nested_list):
    flat_list = []
    for i in nested_list:
        if isinstance(i, list):
            flat_list.extend(flatten_list(i))
        else:
            flat_list.append(i)
    return flat_list
```

--------------------------------------------------Mbpp/298--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the nested list elements which are present in another list.
>>> Test Cases:
assert intersection_nested_lists( [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14],[[12, 18, 23, 25, 45], [7, 11, 19, 24, 28], [1, 5, 8, 18, 15, 16]])==[[12], [7, 11], [1, 5, 8]]
assert intersection_nested_lists([[2, 3, 1], [4, 5], [6, 8]], [[4, 5], [6, 8]])==[[], []]
assert intersection_nested_lists(['john','amal','joel','george'],[['john'],['jack','john','mary'],['howard','john'],['jude']])==[['john'], ['john'], ['john'], []]

### Response:
Here is the Python function to solve your problem:

```python
def intersection_nested_lists(main_list, nested_lists):
    main_set = set(main_list)
    result = []
    for nested_list in nested_lists:
        intersected_list = list(set(nested_list) & main_set)
        result.append(intersected_list)
    return result
```

--------------------------------------------------Mbpp/300--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the count of all binary sequences of length 2n such that sum of first n bits is same as sum of last n bits.
>>> Test Cases:
assert count_binary_seq(1) == 2.0
assert count_binary_seq(2) == 6.0
assert count_binary_seq(3) == 20.0

### Response:
Here is a Python function that uses dynamic programming to solve this problem. The function `count_binary_seq` takes an integer `n` as input and returns the count of all binary sequences of length 2n such that sum of first n bits is same as sum of last n bits.

```python
def count_binary_seq(n):
    dp = [[0]*2 for _ in range(n+1)]
    dp[0][0] = dp[0][1] = 1
    for i in range(1, n+1):
        dp[i][0] = dp[i-1][0] + dp[i-1][1]
        dp[i][1] = dp[i-1][0]
    return 2 * (dp[n][0] + dp[n][1])
```

--------------------------------------------------Mbpp/301--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the depth of a dictionary.
>>> Test Cases:
assert dict_depth({'a':1, 'b': {'c': {'d': {}}}})==4
assert dict_depth({'a':1, 'b': {'c':'python'}})==2
assert dict_depth({1: 'Sun', 2: {3: {4:'Mon'}}})==3

### Response:
Here is a Python function to find the depth of a dictionary:

```python
def dict_depth(d):
    if not isinstance(d, dict) or not d:
        return 1
    return 1 + max(dict_depth(v) for v in d.values())
```

--------------------------------------------------Mbpp/302--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the most significant bit number which is also a set bit.
>>> Test Cases:
assert set_Bit_Number(6) == 4
assert set_Bit_Number(10) == 8
assert set_Bit_Number(18) == 16

### Response:
Here is the Python function to find the most significant bit number which is also a set bit:

```python
def set_Bit_Number(n):
    msb = 0
    while (n > 0):
        n = n // 2
        msb += 1
    return 1 << msb
```

--------------------------------------------------Mbpp/306--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum sum of increasing subsequence from prefix till ith index and also including a given kth element which is after i, i.e., k > i .
>>> Test Cases:
assert max_sum_increasing_subseq([1, 101, 2, 3, 100, 4, 5 ], 7, 4, 6) == 11
assert max_sum_increasing_subseq([1, 101, 2, 3, 100, 4, 5 ], 7, 2, 5) == 7
assert max_sum_increasing_subseq([11, 15, 19, 21, 26, 28, 31], 7, 2, 4) == 71

### Response:
Here is the Python function `max_sum_increasing_subseq` that solves your problem:

```python
def max_sum_increasing_subseq(arr, n, i, k):
    prefix_sum = [0] * n
    prefix_sum[0] = arr[0]
    for j in range(1, n):
        if j <= i:
            prefix_sum[j] = max(prefix_sum[j - 1], arr[j])
        else:
            prefix_sum[j] = max(prefix_sum[j - 1], arr[j] + prefix_sum[j - 1])

    max_sum = prefix_sum[i] + arr[k]
    for j in range(i + 1, n):
        max_sum = max(max_sum, prefix_sum[j] + arr[k])

    return max_sum
```

--------------------------------------------------Mbpp/307--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to get a colon of a tuple.
>>> Test Cases:
assert colon_tuplex(("HELLO", 5, [], True) ,2,50)==("HELLO", 5, [50], True) 
assert colon_tuplex(("HELLO", 5, [], True) ,2,100)==(("HELLO", 5, [100],True))
assert colon_tuplex(("HELLO", 5, [], True) ,2,500)==("HELLO", 5, [500], True)

### Response:
Here is the Python function to get a colon of a tuple:

```python
def colon_tuplex(tup, index, value):
    tup_list = list(tup)
    tup_list[index] = [value] if isinstance(tup_list[index], list) else value
    return tuple(tup_list)
```

--------------------------------------------------Mbpp/309--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the maximum of two numbers.
>>> Test Cases:
assert maximum(5,10) == 10
assert maximum(-1,-2) == -1
assert maximum(9,7) == 9

### Response:
Here is the Python function to find the maximum of two numbers:

```python
def maximum(num1, num2):
    return max(num1, num2)
```

--------------------------------------------------Mbpp/310--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert a given string to a tuple.
>>> Test Cases:
assert string_to_tuple("python 3.0")==('p', 'y', 't', 'h', 'o', 'n', '3', '.', '0')
assert string_to_tuple("item1")==('i', 't', 'e', 'm', '1')
assert string_to_tuple("15.10")==('1', '5', '.', '1', '0')

### Response:
Here is the Python function to convert a given string to a tuple:

```python
def string_to_tuple(s):
    return tuple(s)
```

--------------------------------------------------Mbpp/311--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to set the left most unset bit.
>>> Test Cases:
assert set_left_most_unset_bit(10) == 14
assert set_left_most_unset_bit(12) == 14
assert set_left_most_unset_bit(15) == 15

### Response:
Here is the Python function to set the left most unset bit:

```python
def set_left_most_unset_bit(n):
    if n & 1:
        return n
    else:
        return n + 2**(len(bin(n))-2)
```

--------------------------------------------------Mbpp/312--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the volume of a cone.
>>> Test Cases:
assert volume_cone(5,12)==314.15926535897927
assert volume_cone(10,15)==1570.7963267948965
assert volume_cone(19,17)==6426.651371693521

### Response:
Here is the Python function to calculate the volume of a cone:

```python
import math

def volume_cone(radius, height):
    return (1/3) * math.pi * radius**2 * height
```

--------------------------------------------------Mbpp/313--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to print positive numbers in a list.
>>> Test Cases:
assert pos_nos([-1,-2,1,2]) == 1,2
assert pos_nos([3,4,-5]) == 3,4
assert pos_nos([-2,-3,1]) == 1

### Response:
Here is the python function to print positive numbers in a list:

```python
def pos_nos(lst):
    return [i for i in lst if i > 0]
```

--------------------------------------------------Mbpp/389--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the n'th lucas number.
>>> Test Cases:
assert find_lucas(9) == 76
assert find_lucas(4) == 7
assert find_lucas(3) == 4

### Response:
Lucas numbers are similar to Fibonacci numbers, but start with 2 and 1 instead of 0 and 1. The sequence is 2, 1, 3, 4, 7, 11, 18, 29, 47, 76, 123, and so on.

Here is the Python function to find the n'th Lucas number:

```python
def find_lucas(n):
    if n == 0:
        return 2
    if n == 1:
        return 1
    lucas_n_minus_1 = 2
    lucas_n_minus_2 = 1
    for _ in range(2, n + 1):
        lucas_n = lucas_n_minus_1 + lucas_n_minus_2
        lucas_n_minus_2 = lucas_n_minus_1
        lucas_n_minus_1 = lucas_n
    return lucas_n
```

--------------------------------------------------Mbpp/390--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to insert a given string at the beginning of all items in a list.
>>> Test Cases:
assert add_string([1,2,3,4],'temp{0}')==['temp1', 'temp2', 'temp3', 'temp4']
assert add_string(['a','b','c','d'], 'python{0}')==[ 'pythona', 'pythonb', 'pythonc', 'pythond']
assert add_string([5,6,7,8],'string{0}')==['string5', 'string6', 'string7', 'string8']

### Response:
Here is the Python function that will add a given string at the beginning of all items in a list:

```python
def add_string(lst, template):
    return [template.format(i) for i in lst]
```

--------------------------------------------------Mbpp/391--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert more than one list to nested dictionary.
>>> Test Cases:
assert convert_list_dictionary(["S001", "S002", "S003", "S004"],["Adina Park", "Leyton Marsh", "Duncan Boyle", "Saim Richards"] ,[85, 98, 89, 92])==[{'S001': {'Adina Park': 85}}, {'S002': {'Leyton Marsh': 98}}, {'S003': {'Duncan Boyle': 89}}, {'S004': {'Saim Richards': 92}}]
assert convert_list_dictionary(["abc","def","ghi","jkl"],["python","program","language","programs"],[100,200,300,400])==[{'abc':{'python':100}},{'def':{'program':200}},{'ghi':{'language':300}},{'jkl':{'programs':400}}]
assert convert_list_dictionary(["A1","A2","A3","A4"],["java","C","C++","DBMS"],[10,20,30,40])==[{'A1':{'java':10}},{'A2':{'C':20}},{'A3':{'C++':30}},{'A4':{'DBMS':40}}]

### Response:
Here is the Python function to convert more than one list to nested dictionary:

```python
def convert_list_dictionary(keys, names, values):
    return [{keys[i]: {names[i]: values[i]}} for i in range(len(keys))]
```

--------------------------------------------------Mbpp/392--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum sum possible by using the given equation f(n) = max( (f(n/2) + f(n/3) + f(n/4) + f(n/5)), n).
>>> Test Cases:
assert get_max_sum(60) == 106
assert get_max_sum(10) == 12
assert get_max_sum(2) == 2

### Response:
Here is the Python function for your problem:

```python
def get_max_sum(n):
    cache = {0:0}
    def f(n):
        if n not in cache:
            cache[n] = max(f(n//2) + f(n//3) + f(n//4) + f(n//5), n)
        return cache[n]
    return f(n)
```

--------------------------------------------------Mbpp/393--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the list with maximum length using lambda function.
>>> Test Cases:
assert max_length_list([[0], [1, 3], [5, 7], [9, 11], [13, 15, 17]])==(3, [13, 15, 17])
assert max_length_list([[1,2,3,4,5],[1,2,3,4],[1,2,3],[1,2],[1]])==(5,[1,2,3,4,5])
assert max_length_list([[3,4,5],[6,7,8,9],[10,11,12]])==(4,[6,7,8,9])

### Response:
Here is the Python function using lambda function to find the list with maximum length:

```python
def max_length_list(lst):
    max_len_list = max(lst, key=lambda x: len(x))
    max_len = len(max_len_list)
    return (max_len, max_len_list)
```

--------------------------------------------------Mbpp/395--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the first non-repeated character in a given string.
>>> Test Cases:
assert first_non_repeating_character("abcabc") == None
assert first_non_repeating_character("abc") == "a"
assert first_non_repeating_character("ababc") == "c"

### Response:
Here is the Python function to find the first non-repeated character in a given string:

```python
def first_non_repeating_character(s):
    char_count = {}
    for char in s:
        if char in char_count:
            char_count[char] += 1
        else:
            char_count[char] = 1
    for char in s:
        if char_count[char] == 1:
            return char
    return None
```

--------------------------------------------------Mbpp/396--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether the given string starts and ends with the same character or not using regex.
>>> Test Cases:
assert check_char("abba") == "Valid"
assert check_char("a") == "Valid"
assert check_char("abcd") == "Invalid"

### Response:
Here is the Python function using regex to solve your problem:

```python
import re

def check_char(s):
    if re.match(r'^(.).*\1$', s):
        return "Valid"
    else:
        return "Invalid"
```

--------------------------------------------------Mbpp/397--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the median of three specific numbers.
>>> Test Cases:
assert median_numbers(25,55,65)==55.0
assert median_numbers(20,10,30)==20.0
assert median_numbers(15,45,75)==45.0

### Response:
Here is the Python function to find the median of three specific numbers:

```python
def median_numbers(a, b, c):
    return sorted([a, b, c])[1]
```

--------------------------------------------------Mbpp/398--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to compute the sum of digits of each number of a given list.
>>> Test Cases:
assert sum_of_digits([10,2,56])==14
assert sum_of_digits([[10,20,4,5,'b',70,'a']])==19
assert sum_of_digits([10,20,-4,5,-70])==19

### Response:
Here is the Python function to compute the sum of digits of each number of a given list:

```python
def sum_of_digits(lst):
    total_sum = 0
    for item in lst:
        if isinstance(item, int):
            if item < 0:
                item = -item
            total_sum += sum(int(digit) for digit in str(item))
    return total_sum
```

--------------------------------------------------Mbpp/399--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to perform the mathematical bitwise xor operation across the given tuples.
>>> Test Cases:
assert bitwise_xor((10, 4, 6, 9), (5, 2, 3, 3)) == (15, 6, 5, 10)
assert bitwise_xor((11, 5, 7, 10), (6, 3, 4, 4)) == (13, 6, 3, 14)
assert bitwise_xor((12, 6, 8, 11), (7, 4, 5, 6)) == (11, 2, 13, 13)

### Response:
Here is the Python function to perform the bitwise xor operation across the given tuples:

```python
def bitwise_xor(tup1, tup2):
    return tuple(a ^ b for a, b in zip(tup1, tup2))
```

--------------------------------------------------Mbpp/401--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to perform index wise addition of tuple elements in the given two nested tuples.
>>> Test Cases:
assert add_nested_tuples(((1, 3), (4, 5), (2, 9), (1, 10)), ((6, 7), (3, 9), (1, 1), (7, 3))) == ((7, 10), (7, 14), (3, 10), (8, 13))
assert add_nested_tuples(((2, 4), (5, 6), (3, 10), (2, 11)), ((7, 8), (4, 10), (2, 2), (8, 4))) == ((9, 12), (9, 16), (5, 12), (10, 15))
assert add_nested_tuples(((3, 5), (6, 7), (4, 11), (3, 12)), ((8, 9), (5, 11), (3, 3), (9, 5))) == ((11, 14), (11, 18), (7, 14), (12, 17))

### Response:
Here is the Python function to perform index wise addition of tuple elements in the given two nested tuples:

```python
def add_nested_tuples(tup1, tup2):
    return tuple(tuple(map(sum, zip(*x))) for x in zip(tup1, tup2))
```

--------------------------------------------------Mbpp/405--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether an element exists within a tuple.
>>> Test Cases:
assert check_tuplex(("w", 3, "r", "e", "s", "o", "u", "r", "c", "e"),'r')==True
assert check_tuplex(("w", 3, "r", "e", "s", "o", "u", "r", "c", "e"),'5')==False
assert check_tuplex(("w", 3, "r", "e", "s", "o", "u", "r", "c","e"),3)==True

### Response:
Here is the Python function to check whether an element exists within a tuple:

```python
def check_tuplex(test_tup, test_elm):
    return test_elm in test_tup
```

--------------------------------------------------Mbpp/406--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the parity of a given number.
>>> Test Cases:
assert find_Parity(12) == "Even Parity"
assert find_Parity(7) == "Odd Parity"
assert find_Parity(10) == "Even Parity"

### Response:
Here is the Python function to find the parity of a given number:

```python
def find_Parity(n):
    if n % 2 == 0:
        return "Even Parity"
    else:
        return "Odd Parity"
```

--------------------------------------------------Mbpp/407--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to create the next bigger number by rearranging the digits of a given number.
>>> Test Cases:
assert rearrange_bigger(12)==21
assert rearrange_bigger(10)==False
assert rearrange_bigger(102)==120

### Response:
Here is the Python function to create the next bigger number by rearranging the digits of a given number:

```python
def rearrange_bigger(n):
    digits = list(str(n))
    for i in range(len(digits) - 1, 0, -1):
        if digits[i] > digits[i - 1]:
            digits[i:] = sorted(digits[i:])
            for j in range(i, 0, -1):
                if digits[j] > digits[j - 1]:
                    digits[j], digits[j - 1] = digits[j - 1], digits[j]
                    return int(''.join(digits))
    return False
```

--------------------------------------------------Mbpp/408--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find k number of pairs which consist of one element from the first array and one element from the second array.
>>> Test Cases:
assert k_smallest_pairs([1,3,7],[2,4,6],2)==[[1, 2], [1, 4]]
assert k_smallest_pairs([1,3,7],[2,4,6],1)==[[1, 2]]
assert k_smallest_pairs([1,3,7],[2,4,6],7)==[[1, 2], [1, 4], [3, 2], [1, 6], [3, 4], [3, 6], [7, 2]]

### Response:
Here is the Python function for your problem:

```python
def k_smallest_pairs(nums1, nums2, k):
    pairs = [[i, j] for i in nums1 for j in nums2]
    pairs.sort(key=sum)
    return pairs[:k]
```

--------------------------------------------------Mbpp/410--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the minimum value in a given heterogeneous list.
>>> Test Cases:
assert min_val(['Python', 3, 2, 4, 5, 'version'])==2
assert min_val(['Python', 15, 20, 25])==15
assert min_val(['Python', 30, 20, 40, 50, 'version'])==20

### Response:
Here is the Python function to find the minimum value in a given heterogeneous list:

```python
def min_val(lst):
    numeric_values = [i for i in lst if isinstance(i, (int, float))]
    return min(numeric_values)
```

--------------------------------------------------Mbpp/411--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert the given snake case string to camel case string by using regex.
>>> Test Cases:
assert snake_to_camel('android_tv') == 'AndroidTv'
assert snake_to_camel('google_pixel') == 'GooglePixel'
assert snake_to_camel('apple_watch') == 'AppleWatch'

### Response:
Here is the Python function using regex to convert snake case string to camel case string:

```python
import re

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

--------------------------------------------------Mbpp/413--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to extract the nth element from a given list of tuples.
>>> Test Cases:
assert extract_nth_element([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==['Greyson Fulton', 'Brady Kent', 'Wyatt Knott', 'Beau Turnbull']
assert extract_nth_element([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[99, 96, 94, 98]
assert extract_nth_element([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)],1)==[98, 97, 91, 94]

### Response:
Here is the Python function to extract the nth element from a given list of tuples:

```python
def extract_nth_element(lst, n):
    return [x[n] for x in lst]
```

--------------------------------------------------Mbpp/414--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the value exists in a sequence or not.
>>> Test Cases:
assert overlapping([1,2,3,4,5],[6,7,8,9]) == False
assert overlapping([1,2,3],[4,5,6]) == False
assert overlapping([1,4,5],[1,4,5]) == True

### Response:
Here is the Python function to check whether the value exists in a sequence or not:

```python
def overlapping(seq1, seq2):
    return any(value in seq1 for value in seq2)
```

--------------------------------------------------Mbpp/415--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find a pair with highest product from a given array of integers.
>>> Test Cases:
assert max_Product([1,2,3,4,7,0,8,4]) == (7,8)
assert max_Product([0,-1,-2,-4,5,0,-6]) == (-4,-6)
assert max_Product([1,2,3]) == (2,3)

### Response:
Here is the Python function to find a pair with highest product from a given array of integers:

```python
def max_Product(nums):
    nums.sort()
    if nums[0] < 0 and nums[1] < 0:
        return (nums[0], nums[1]) if nums[0]*nums[1] > nums[-1]*nums[-2] else (nums[-1], nums[-2])
    else:
        return (nums[-1], nums[-2])
```

--------------------------------------------------Mbpp/416--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum sum we can make by dividing number in three parts recursively and summing them up together for the given number.
>>> Test Cases:
assert breakSum(12) == 13
assert breakSum(24) == 27
assert breakSum(23) == 23

### Response:
Here is a Python function that solves your problem:

```python
def breakSum(n):
    if n < 3:
        return n
    else:
        return n % 3 + breakSum(n // 3)
```

--------------------------------------------------Mbpp/419--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to round every number of a given list of numbers and print the total sum multiplied by the length of the list.
>>> Test Cases:
assert round_and_sum([22.4, 4.0, -16.22, -9.10, 11.00, -12.22, 14.20, -5.20, 17.50])==243
assert round_and_sum([5,2,9,24.3,29])==345
assert round_and_sum([25.0,56.7,89.2])==513

### Response:
Here is the Python function that rounds every number of a given list of numbers and prints the total sum multiplied by the length of the list:

```python
def round_and_sum(nums):
    rounded_nums = [round(num) for num in nums]
    total_sum = sum(rounded_nums)
    result = total_sum * len(rounded_nums)
    return result
```

--------------------------------------------------Mbpp/420--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the cube sum of first n even natural numbers.
>>> Test Cases:
assert cube_Sum(2) == 72
assert cube_Sum(3) == 288
assert cube_Sum(4) == 800

### Response:
Here is the Python function to find the cube sum of first n even natural numbers:

```python
def cube_Sum(n):
    sum = 0
    for i in range(2, 2*n+1, 2):
        sum += i**3
    return sum
```

--------------------------------------------------Mbpp/421--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to concatenate each element of tuple by the delimiter.
>>> Test Cases:
assert concatenate_tuple(("ID", "is", 4, "UTS") ) == 'ID-is-4-UTS'
assert concatenate_tuple(("QWE", "is", 4, "RTY") ) == 'QWE-is-4-RTY'
assert concatenate_tuple(("ZEN", "is", 4, "OP") ) == 'ZEN-is-4-OP'

### Response:
Here is the Python function to concatenate each element of tuple by the delimiter:

```python
def concatenate_tuple(input_tuple):
    return '-'.join(str(element) for element in input_tuple)
```

--------------------------------------------------Mbpp/422--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the average of cubes of first n natural numbers.
>>> Test Cases:
assert find_Average_Of_Cube(2) == 4.5
assert find_Average_Of_Cube(3) == 12
assert find_Average_Of_Cube(1) == 1

### Response:
Here is the Python function to find the average of cubes of first n natural numbers:

```python
def find_Average_Of_Cube(n):
    total_cubes = sum([i**3 for i in range(1, n+1)])
    average = total_cubes / n
    return average
```

--------------------------------------------------Mbpp/423--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to solve gold mine problem.
>>> Test Cases:
assert get_maxgold([[1, 3, 1, 5],[2, 2, 4, 1],[5, 0, 2, 3],[0, 6, 1, 2]],4,4)==16
assert get_maxgold([[10,20],[30,40]],2,2)==70
assert get_maxgold([[4,9],[3,7]],2,2)==13

### Response:
The gold mine problem is a dynamic programming problem where you start from the last row and move upwards, choosing the maximum gold you can get at each step. Here is the Python function to solve this problem:

```python
def get_maxgold(gold, m, n):
    for col in range(n-2, -1, -1):
        for row in range(m-1, -1, -1):
            if col == n-1:
                right = 0
            else:
                right = gold[row][col+1]
            
            if row == m-1:
                down_right = 0
            else:
                down_right = gold[row+1][col+1]
            
            if row == 0:
                down = 0
            else:
                down = gold[row-1][col+1]
            
            gold[row][col] += max(right, down, down_right)
    
    max_gold = gold[0][0]
    for i in range(1, m):
        max_gold = max(max_gold, gold[i][0])
    
    return max_gold
```

--------------------------------------------------Mbpp/425--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to count the number of sublists containing a particular element.
>>> Test Cases:
assert count_element_in_list([[1, 3], [5, 7], [1, 11], [1, 15, 7]],1)==3
assert count_element_in_list([['A', 'B'], ['A', 'C'], ['A', 'D', 'E'], ['B', 'C', 'D']],'A')==3
assert count_element_in_list([['A', 'B'], ['A', 'C'], ['A', 'D', 'E'], ['B', 'C', 'D']],'E')==1

### Response:
Here is the Python function to count the number of sublists containing a particular element:

```python
def count_element_in_list(lst, element):
    count = 0
    for sublist in lst:
        if element in sublist:
            count += 1
    return count
```

--------------------------------------------------Mbpp/426--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to filter odd numbers using lambda function.
>>> Test Cases:
assert filter_oddnumbers([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1,3,5,7,9]
assert filter_oddnumbers([10,20,45,67,84,93])==[45,67,93]
assert filter_oddnumbers([5,7,9,8,6,4,3])==[5,7,9,3]

### Response:
Here is the Python function using lambda function to filter odd numbers:

```python
def filter_oddnumbers(nums):
    return list(filter(lambda x: x % 2 != 0, nums))
```

--------------------------------------------------Mbpp/427--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert a date of yyyy-mm-dd format to dd-mm-yyyy format by using regex.
>>> Test Cases:
assert change_date_format("2026-01-02") == '02-01-2026'
assert change_date_format("2020-11-13") == '13-11-2020'
assert change_date_format("2021-04-26") == '26-04-2021'

### Response:
Here is the Python function using regex to convert the date format from yyyy-mm-dd to dd-mm-yyyy:

```python
import re

def change_date_format(date):
    match = re.match(r'(\d{4})-(\d{2})-(\d{2})', date)
    if match:
        return '-'.join(match.groups()[::-1])
    else:
        raise ValueError("Invalid date format")
```

--------------------------------------------------Mbpp/428--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort the given array by using shell sort.
>>> Test Cases:
assert shell_sort([12, 23, 4, 5, 3, 2, 12, 81, 56, 95]) == [2, 3, 4, 5, 12, 12, 23, 56, 81, 95]
assert shell_sort([24, 22, 39, 34, 87, 73, 68]) == [22, 24, 34, 39, 68, 73, 87]
assert shell_sort([32, 30, 16, 96, 82, 83, 74]) == [16, 30, 32, 74, 82, 83, 96]

### Response:
Here is the Python function for shell sort:

```python
def shell_sort(arr):
    n = len(arr)
    gap = n//2

    while gap > 0:
        for i in range(gap,n):
            temp = arr[i]
            j = i
            while  j >= gap and arr[j-gap] >temp:
                arr[j] = arr[j-gap]
                j -= gap
            arr[j] = temp
        gap //= 2
    return arr
```

--------------------------------------------------Mbpp/429--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to extract the elementwise and tuples from the given two tuples.
>>> Test Cases:
assert and_tuples((10, 4, 6, 9), (5, 2, 3, 3)) == (0, 0, 2, 1)
assert and_tuples((1, 2, 3, 4), (5, 6, 7, 8)) == (1, 2, 3, 0)
assert and_tuples((8, 9, 11, 12), (7, 13, 14, 17)) == (0, 9, 10, 0)

### Response:
Here is the Python function to extract the elementwise and tuples from the given two tuples:

```python
def and_tuples(tup1, tup2):
    return tuple(i & j for i, j in zip(tup1, tup2))
```

--------------------------------------------------Mbpp/430--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the directrix of a parabola.
>>> Test Cases:
assert parabola_directrix(5,3,2)==-198
assert parabola_directrix(9,8,4)==-2336
assert parabola_directrix(2,4,6)==-130

### Response:
The directrix of a parabola is the line that is perpendicular to the parabola and passes through the vertex of the parabola. The equation of a parabola is given by:

y = a(x - h)^2 + k

where a is the coefficient of x, h is the x-coordinate of the vertex, and k is the y-coordinate of the vertex. The directrix is given by the equation:

y = -h^2 + k

So, to find the directrix, you just need to return the value of k. Here is the Python function:

```python
def parabola_directrix(a, h, k):
    return -h**2 + k
```

--------------------------------------------------Mbpp/431--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function that takes two lists and returns true if they have at least one common element.
>>> Test Cases:
assert common_element([1,2,3,4,5], [5,6,7,8,9])==True
assert common_element([1,2,3,4,5], [6,7,8,9])==None
assert common_element(['a','b','c'], ['d','b','e'])==True

### Response:
Here is the Python function that solves your problem:

```python
def common_element(list1, list2):
    for i in list1:
        if i in list2:
            return True
    return None
```

--------------------------------------------------Mbpp/432--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the median of a trapezium.
>>> Test Cases:
assert median_trapezium(15,25,35)==20
assert median_trapezium(10,20,30)==15
assert median_trapezium(6,9,4)==7.5

### Response:
The median of a trapezium can be calculated by the formula:

Median = (a + b - c - d) / 2

where a, b, c, and d are the lengths of the parallel sides, base1, base2, and the height of the trapezium respectively.

Here is the Python function for your problem:

```python
def median_trapezium(a, b, d):
    c = (a + b - d) / 2  # The height of the trapezium
    return (a + b - c - d) / 2
```

--------------------------------------------------Mbpp/433--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether the entered number is greater than the elements of the given array.
>>> Test Cases:
assert check_greater([1, 2, 3, 4, 5], 4) == 'No, entered number is less than those in the array'
assert check_greater([2, 3, 4, 5, 6], 8) == 'Yes, the entered number is greater than those in the array'
assert check_greater([9, 7, 4, 8, 6, 1], 11) == 'Yes, the entered number is greater than those in the array'

### Response:
Here is the Python function for your problem:

```python
def check_greater(arr, num):
    for i in arr:
        if i <= num:
            return 'No, entered number is less than those in the array'
    return 'Yes, the entered number is greater than those in the array'
```

--------------------------------------------------Mbpp/434--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function that matches a string that has an a followed by one or more b's.
>>> Test Cases:
assert text_match_one("ac")==('Not matched!')
assert text_match_one("dc")==('Not matched!')
assert text_match_one("abba")==('Found a match!')

### Response:
Here is the Python function that matches a string that has an a followed by one or more b's:

```python
import re

def text_match_one(text):
    pattern = 'ab+'
    if re.search(pattern, text):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------Mbpp/436--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to print negative numbers in a list.
>>> Test Cases:
assert neg_nos([-1,4,5,-6]) == -1,-6
assert neg_nos([-1,-2,3,4]) == -1,-2
assert neg_nos([-7,-6,8,9]) == -7,-6

### Response:
Here is the Python function to print negative numbers in a list:

```python
def neg_nos(nums):
    return [num for num in nums if num < 0]
```

--------------------------------------------------Mbpp/437--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove odd characters in a string.
>>> Test Cases:
assert remove_odd("python")==("yhn")
assert remove_odd("program")==("rga")
assert remove_odd("language")==("agae")

### Response:
Here is the Python function to remove odd characters in a string:

```python
def remove_odd(s):
    return s[::2]
```

--------------------------------------------------Mbpp/438--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to count bidirectional tuple pairs.
>>> Test Cases:
assert count_bidirectional([(5, 6), (1, 2), (6, 5), (9, 1), (6, 5), (2, 1)] ) == '3'
assert count_bidirectional([(5, 6), (1, 3), (6, 5), (9, 1), (6, 5), (2, 1)] ) == '2'
assert count_bidirectional([(5, 6), (1, 2), (6, 5), (9, 2), (6, 5), (2, 1)] ) == '4'

### Response:
Here is the Python function to count bidirectional tuple pairs:

```python
def count_bidirectional(tuples):
    flipped_tuples = [(b, a) for (a, b) in tuples]
    count = sum(1 for t in tuples for ft in flipped_tuples if t == ft)
    return str(count)
```

--------------------------------------------------Mbpp/439--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert a list of multiple integers into a single integer.
>>> Test Cases:
assert multiple_to_single([11, 33, 50])==113350
assert multiple_to_single([-1,2,3,4,5,6])==-123456
assert multiple_to_single([10,15,20,25])==10152025

### Response:
Here is the Python function to convert a list of multiple integers into a single integer:

```python
def multiple_to_single(nums):
    return int(''.join(map(str, nums)))
```

--------------------------------------------------Mbpp/440--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find all adverbs and their positions in a given sentence.
>>> Test Cases:
assert find_adverb_position("clearly!! we can see the sky")==(0, 7, 'clearly')
assert find_adverb_position("seriously!! there are many roses")==(0, 9, 'seriously')
assert find_adverb_position("unfortunately!! sita is going to home")==(0, 13, 'unfortunately')

### Response:
To solve this problem, you can use Natural Language Processing (NLP) libraries like NLTK (Natural Language Toolkit) in Python. NLTK is a leading platform for building Python programs to work with human language data.

Here is a Python function using NLTK to find adverbs and their positions in a given sentence:

```python
import nltk
from nltk.corpus import wordnet

def find_adverb_position(sentence):
    words = nltk.word_tokenize(sentence)
    pos_tags = nltk.pos_tag(words)

    for i, (word, tag) in enumerate(pos_tags):
        if tag in ['RB', 'RBR', 'RBS'] or wordnet.synsets(word, pos='r'):
            return (i, i+1, word)

    return None
```

--------------------------------------------------Mbpp/441--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the surface area of a cube.
>>> Test Cases:
assert surfacearea_cube(5)==150
assert surfacearea_cube(3)==54
assert surfacearea_cube(10)==600

### Response:
The surface area of a cube is calculated by the formula 6*s^2 where s is the length of a side of the cube. Here is the Python function for your problem:

```python
def surfacearea_cube(s):
    return 6 * s ** 2
```

--------------------------------------------------Mbpp/442--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the ration of positive numbers in an array of integers.
>>> Test Cases:
assert positive_count([0, 1, 2, -1, -5, 6, 0, -3, -2, 3, 4, 6, 8])==0.54
assert positive_count([2, 1, 2, -1, -5, 6, 4, -3, -2, 3, 4, 6, 8])==0.69
assert positive_count([2, 4, -6, -9, 11, -12, 14, -5, 17])==0.56

### Response:
Here is the Python function to find the ratio of positive numbers in an array of integers:

```python
def positive_count(nums):
    pos_count = sum(1 for num in nums if num > 0)
    total_count = len(nums)
    ratio = pos_count / total_count
    return round(ratio, 2)
```

--------------------------------------------------Mbpp/443--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the largest negative number from the given list.
>>> Test Cases:
assert largest_neg([1,2,3,-4,-6]) == -6
assert largest_neg([1,2,3,-8,-9]) == -9
assert largest_neg([1,2,3,4,-1]) == -1

### Response:
Here is the Python function to find the largest negative number from the given list:

```python
def largest_neg(nums):
    return max(nums) if max(nums) < 0 else None
```

--------------------------------------------------Mbpp/446--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the occurence of all elements of list in a tuple.
>>> Test Cases:
assert count_Occurrence(('a', 'a', 'c', 'b', 'd'),['a', 'b'] ) == 3
assert count_Occurrence((1, 2, 3, 1, 4, 6, 7, 1, 4),[1, 4, 7]) == 6
assert count_Occurrence((1,2,3,4,5,6),[1,2]) == 2

### Response:
Here is the Python function to count the occurrence of all elements of list in a tuple:

```python
def count_Occurrence(test_tup,test_list):
    count = 0
    for i in test_list:
        count += test_tup.count(i)
    return count
```

--------------------------------------------------Mbpp/447--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find cubes of individual elements in a list using lambda function.
>>> Test Cases:
assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000]
assert cube_nums([10,20,30])==([1000, 8000, 27000])
assert cube_nums([12,15])==([1728, 3375])

### Response:
Here is the Python function using lambda function to find cubes of individual elements in a list:

```python
def cube_nums(nums):
    return list(map(lambda x: x**3, nums))
```

--------------------------------------------------Mbpp/448--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the sum of perrin numbers.
>>> Test Cases:
assert cal_sum(9) == 49
assert cal_sum(10) == 66
assert cal_sum(11) == 88

### Response:
Here is the Python function to calculate the sum of Perrin numbers:

```python
def cal_sum(n):
    if n == 0:
        return 0
    elif n == 1:
        return 0
    elif n == 2:
        return 1
    else:
        perrin = [0, 0, 1]
        for i in range(3, n+1):
            perrin.append(perrin[i-2] + perrin[i-3])
        return sum(perrin)
```

--------------------------------------------------Mbpp/449--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the triangle is valid or not if 3 points are given.
>>> Test Cases:
assert check_Triangle(1,5,2,5,4,6) == 'Yes'
assert check_Triangle(1,1,1,4,1,5) == 'No'
assert check_Triangle(1,1,1,1,1,1) == 'No'

### Response:
Here is the Python function to check whether the triangle is valid or not if 3 points are given:

```python
def check_Triangle(x1, y1, x2, y2, x3, y3):
    # Calculate the lengths of the sides
    a = ((x2 - x1) ** 2 + (y2 - y1) ** 2) ** 0.5
    b = ((x3 - x2) ** 2 + (y3 - y2) ** 2) ** 0.5
    c = ((x3 - x1) ** 2 + (y3 - y1) ** 2) ** 0.5

    # Check if the triangle is valid
    if a + b > c and a + c > b and b + c > a:
        return 'Yes'
    else:
        return 'No'
```

--------------------------------------------------Mbpp/451--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove all whitespaces from the given string using regex.
>>> Test Cases:
assert remove_whitespaces(' Google    Flutter ') == 'GoogleFlutter'
assert remove_whitespaces(' Google    Dart ') == 'GoogleDart'
assert remove_whitespaces(' iOS    Swift ') == 'iOSSwift'

### Response:
Here is the Python function using regex to remove all whitespaces from the given string:

```python
import re

def remove_whitespaces(s):
    return re.sub(r'\s', '', s)
```

--------------------------------------------------Mbpp/452--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function that gives loss amount if the given amount has loss else return none.
>>> Test Cases:
assert loss_amount(1500,1200)==None
assert loss_amount(100,200)==100
assert loss_amount(2000,5000)==3000

### Response:
Here is the Python function for your problem:

```python
def loss_amount(sell_price, cost_price):
    if sell_price > cost_price:
        return None
    else:
        return cost_price - sell_price
```

--------------------------------------------------Mbpp/454--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function that matches a word containing 'z'.
>>> Test Cases:
assert text_match_wordz("pythonz.")==('Found a match!')
assert text_match_wordz("xyz.")==('Found a match!')
assert text_match_wordz("  lang  .")==('Not matched!')

### Response:
Here is the Python function that matches a word containing 'z':

```python
import re

def text_match_wordz(text):
    pattern = 'z'
    if re.search(pattern, text):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------Mbpp/455--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether the given month number contains 31 days or not.
>>> Test Cases:
assert check_monthnumb_number(5)==True
assert check_monthnumb_number(2)==False
assert check_monthnumb_number(6)==False

### Response:
Here is the Python function to check whether the given month number contains 31 days or not:

```python
def check_monthnumb_number(month_number):
    # Months with 31 days: January, March, May, July, August, October, December
    # So, if the month_number is in the above list, return True, else return False
    return month_number in [1, 3, 5, 7, 8, 10, 12]
```

--------------------------------------------------Mbpp/456--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to reverse strings in a given list of string values.
>>> Test Cases:
assert reverse_string_list(['Red', 'Green', 'Blue', 'White', 'Black'])==['deR', 'neerG', 'eulB', 'etihW', 'kcalB']
assert reverse_string_list(['john','amal','joel','george'])==['nhoj','lama','leoj','egroeg']
assert reverse_string_list(['jack','john','mary'])==['kcaj','nhoj','yram']

### Response:
Here is the Python function to reverse strings in a given list of string values:

```python
def reverse_string_list(str_list):
    return [s[::-1] for s in str_list]
```

--------------------------------------------------Mbpp/457--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sublist having minimum length.
>>> Test Cases:
assert Find_Min([[1],[1,2],[1,2,3]]) == [1]
assert Find_Min([[1,1],[1,1,1],[1,2,7,8]]) == [1,1]
assert Find_Min([['x'],['x','y'],['x','y','z']]) == ['x']

### Response:
Here is the Python function to find the sublist having minimum length:

```python
def Find_Min(lst):
    return min(lst, key=len)
```

--------------------------------------------------Mbpp/458--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the area of a rectangle.
>>> Test Cases:
assert rectangle_area(10,20)==200
assert rectangle_area(10,5)==50
assert rectangle_area(4,2)==8

### Response:
Here is the Python function to calculate the area of a rectangle:

```python
def rectangle_area(length, width):
    return length * width
```

--------------------------------------------------Mbpp/459--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove uppercase substrings from a given string by using regex.
>>> Test Cases:
assert remove_uppercase('cAstyoUrFavoRitETVshoWs') == 'cstyoravoitshos'
assert remove_uppercase('wAtchTheinTernEtrAdIo') == 'wtchheinerntrdo'
assert remove_uppercase('VoicESeaRchAndreComMendaTionS') == 'oiceachndreomendaion'

### Response:
Here is the Python function using regex to remove uppercase substrings from a given string:

```python
import re

def remove_uppercase(s):
    return re.sub(r'(?<=[a-z])[A-Z]+', '', s)
```

--------------------------------------------------Mbpp/460--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to get the first element of each sublist.
>>> Test Cases:
assert Extract([[1, 2], [3, 4, 5], [6, 7, 8, 9]]) == [1, 3, 6]
assert Extract([[1,2,3],[4, 5]]) == [1,4]
assert Extract([[9,8,1],[1,2]]) == [9,1]

### Response:
Here is the Python function to get the first element of each sublist:

```python
def Extract(lst):
    return [sublist[0] for sublist in lst]
```

--------------------------------------------------Mbpp/461--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the upper case characters in a given string.
>>> Test Cases:
assert upper_ctr('PYthon') == 1
assert upper_ctr('BigData') == 1
assert upper_ctr('program') == 0

### Response:
Here is the Python function to count the upper case characters in a given string:

```python
def upper_ctr(s):
    return sum(1 for c in s if c.isupper())
```

--------------------------------------------------Mbpp/462--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find all possible combinations of the elements of a given list.
>>> Test Cases:
assert combinations_list(['orange', 'red', 'green', 'blue'])==[[], ['orange'], ['red'], ['red', 'orange'], ['green'], ['green', 'orange'], ['green', 'red'], ['green', 'red', 'orange'], ['blue'], ['blue', 'orange'], ['blue', 'red'], ['blue', 'red', 'orange'], ['blue', 'green'], ['blue', 'green', 'orange'], ['blue', 'green', 'red'], ['blue', 'green', 'red', 'orange']]
assert combinations_list(['red', 'green', 'blue', 'white', 'black', 'orange'])==[[], ['red'], ['green'], ['green', 'red'], ['blue'], ['blue', 'red'], ['blue', 'green'], ['blue', 'green', 'red'], ['white'], ['white', 'red'], ['white', 'green'], ['white', 'green', 'red'], ['white', 'blue'], ['white', 'blue', 'red'], ['white', 'blue', 'green'], ['white', 'blue', 'green', 'red'], ['black'], ['black', 'red'], ['black', 'green'], ['black', 'green', 'red'], ['black', 'blue'], ['black', 'blue', 'red'], ['black', 'blue', 'green'], ['black', 'blue', 'green', 'red'], ['black', 'white'], ['black', 'white', 'red'], ['black', 'white', 'green'], ['black', 'white', 'green', 'red'], ['black', 'white', 'blue'], ['black', 'white', 'blue', 'red'], ['black', 'white', 'blue', 'green'], ['black', 'white', 'blue', 'green', 'red'], ['orange'], ['orange', 'red'], ['orange', 'green'], ['orange', 'green', 'red'], ['orange', 'blue'], ['orange', 'blue', 'red'], ['orange', 'blue', 'green'], ['orange', 'blue', 'green', 'red'], ['orange', 'white'], ['orange', 'white', 'red'], ['orange', 'white', 'green'], ['orange', 'white', 'green', 'red'], ['orange', 'white', 'blue'], ['orange', 'white', 'blue', 'red'], ['orange', 'white', 'blue', 'green'], ['orange', 'white', 'blue', 'green', 'red'], ['orange', 'black'], ['orange', 'black', 'red'], ['orange', 'black', 'green'], ['orange', 'black', 'green', 'red'], ['orange', 'black', 'blue'], ['orange', 'black', 'blue', 'red'], ['orange', 'black', 'blue', 'green'], ['orange', 'black', 'blue', 'green', 'red'], ['orange', 'black', 'white'], ['orange', 'black', 'white', 'red'], ['orange', 'black', 'white', 'green'], ['orange', 'black', 'white', 'green', 'red'], ['orange', 'black', 'white', 'blue'], ['orange', 'black', 'white', 'blue', 'red'], ['orange', 'black', 'white', 'blue', 'green'], ['orange', 'black', 'white', 'blue', 'green', 'red']]
assert combinations_list(['red', 'green', 'black', 'orange'])==[[], ['red'], ['green'], ['green', 'red'], ['black'], ['black', 'red'], ['black', 'green'], ['black', 'green', 'red'], ['orange'], ['orange', 'red'], ['orange', 'green'], ['orange', 'green', 'red'], ['orange', 'black'], ['orange', 'black', 'red'], ['orange', 'black', 'green'], ['orange', 'black', 'green', 'red']]

### Response:


--------------------------------------------------Mbpp/463--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum product subarray of the given array.
>>> Test Cases:
assert max_subarray_product([1, -2, -3, 0, 7, -8, -2]) == 112
assert max_subarray_product([6, -3, -10, 0, 2]) == 180 
assert max_subarray_product([-2, -40, 0, -2, -3]) == 80

### Response:
Here is a Python function that uses dynamic programming to find the maximum product subarray of the given array:

```python
def max_subarray_product(nums):
    if not nums:
        return 0

    max_so_far = min_so_far = result = nums[0]

    for i in range(1, len(nums)):
        if nums[i] < 0:
            max_so_far, min_so_far = min_so_far, max_so_far

        max_so_far = max(nums[i], max_so_far * nums[i])
        min_so_far = min(nums[i], min_so_far * nums[i])

        result = max(result, max_so_far)

    return result
```

--------------------------------------------------Mbpp/464--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if all values are same in a dictionary.
>>> Test Cases:
assert check_value({'Cierra Vega': 12, 'Alden Cantrell': 12, 'Kierra Gentry': 12, 'Pierre Cox': 12},10)==False
assert check_value({'Cierra Vega': 12, 'Alden Cantrell': 12, 'Kierra Gentry': 12, 'Pierre Cox': 12},12)==True
assert check_value({'Cierra Vega': 12, 'Alden Cantrell': 12, 'Kierra Gentry': 12, 'Pierre Cox': 12},5)==False

### Response:
Here is the Python function to check if all values are same in a dictionary:

```python
def check_value(d, n):
    values = d.values()
    return all(value == n for value in values)
```

--------------------------------------------------Mbpp/466--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the peak element in the given array.
>>> Test Cases:
assert find_peak([1, 3, 20, 4, 1, 0], 6) == 2
assert find_peak([2, 3, 4, 5, 6], 5) == 4
assert find_peak([8, 9, 11, 12, 14, 15], 6) == 5 

### Response:
Here is the Python function to find the peak element in the given array:

```python
def find_peak(arr, n):
    for i in range(1, n-1):
        if arr[i] > arr[i-1] and arr[i] > arr[i+1]:
            return i
    return -1
```

--------------------------------------------------Mbpp/469--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum profit earned from a maximum of k stock transactions
>>> Test Cases:
assert max_profit([1, 5, 2, 3, 7, 6, 4, 5], 3) == 10
assert max_profit([2, 4, 7, 5, 4, 3, 5], 2) == 7
assert max_profit([10, 6, 8, 4, 2], 2) == 2

### Response:
Here is a Python function that uses dynamic programming to solve the problem:

```python
def max_profit(prices, k):
    n = len(prices)
    if k >= n // 2:
        return sum(prices[i] - prices[i - 1] for i in range(1, n) if prices[i] > prices[i - 1])
    dp = [[0] * n for _ in range(k + 1)]
    for i in range(1, k + 1):
        max_diff = dp[i - 1][0] - prices[0]
        for j in range(1, n):
            dp[i][j] = max(dp[i][j - 1], prices[j] + max_diff)
            max_diff = max(max_diff, dp[i - 1][j] - prices[j])
    return dp[k][-1]
```

--------------------------------------------------Mbpp/471--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find remainder of array multiplication divided by n.
>>> Test Cases:
assert find_remainder([ 100, 10, 5, 25, 35, 14 ],6,11) ==9
assert find_remainder([1,1,1],3,1) == 0
assert find_remainder([1,2,1],3,2) == 0

### Response:
Here is the Python function to find remainder of array multiplication divided by n:

```python
def find_remainder(arr, n, m):
    product = 1
    for i in arr:
        product = (product * i) % m
    return (product % n)
```

--------------------------------------------------Mbpp/472--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the given list contains consecutive numbers or not.
>>> Test Cases:
assert check_Consecutive([1,2,3,4,5]) == True
assert check_Consecutive([1,2,3,5,6]) == False
assert check_Consecutive([1,2,1]) == False

### Response:
Here is the Python function to check whether the given list contains consecutive numbers or not:

```python
def check_Consecutive(lst):
    return sorted(lst) == list(range(min(lst), max(lst)+1))
```

--------------------------------------------------Mbpp/473--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the tuple intersection of elements in the given tuple list irrespective of their order.
>>> Test Cases:
assert tuple_intersection([(3, 4), (5, 6), (9, 10), (4, 5)] , [(5, 4), (3, 4), (6, 5), (9, 11)]) == {(4, 5), (3, 4), (5, 6)}
assert tuple_intersection([(4, 1), (7, 4), (11, 13), (17, 14)] , [(1, 4), (7, 4), (16, 12), (10, 13)]) == {(4, 7), (1, 4)}
assert tuple_intersection([(2, 1), (3, 2), (1, 3), (1, 4)] , [(11, 2), (2, 3), (6, 2), (1, 3)]) == {(1, 3), (2, 3)}

### Response:
Here is the Python function to find the tuple intersection of elements in the given tuple list irrespective of their order:

```python
def tuple_intersection(tuples1, tuples2):
    # Convert tuples to sets
    sets1 = [set(t) for t in tuples1]
    sets2 = [set(t) for t in tuples2]
    
    # Find intersection of each set in sets1 with corresponding set in sets2
    intersections = [set1 & set2 for set1, set2 in zip(sets1, sets2)]
    
    # Convert lists of sets to list of tuples
    intersections = [tuple(intersection) for intersection in intersections]
    
    # Convert list of tuples to set to remove duplicates and return
    return set(intersections)
```

--------------------------------------------------Mbpp/474--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to replace characters in a string.
>>> Test Cases:
assert replace_char("polygon",'y','l')==("pollgon")
assert replace_char("character",'c','a')==("aharaater")
assert replace_char("python",'l','a')==("python")

### Response:
Here is the Python function to replace characters in a string:

```python
def replace_char(s, old, new):
    return s.replace(old, new)
```

--------------------------------------------------Mbpp/475--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort counter by value.
>>> Test Cases:
assert sort_counter({'Math':81, 'Physics':83, 'Chemistry':87})==[('Chemistry', 87), ('Physics', 83), ('Math', 81)]
assert sort_counter({'Math':400, 'Physics':300, 'Chemistry':250})==[('Math', 400), ('Physics', 300), ('Chemistry', 250)]
assert sort_counter({'Math':900, 'Physics':1000, 'Chemistry':1250})==[('Chemistry', 1250), ('Physics', 1000), ('Math', 900)]

### Response:
Here is the Python function to sort counter by value:

```python
def sort_counter(counter_dict):
    sorted_items = sorted(counter_dict.items(), key=lambda x: x[1], reverse=True)
    return sorted_items
```

--------------------------------------------------Mbpp/476--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of the largest and smallest value in a given array.
>>> Test Cases:
assert big_sum([1,2,3]) == 4
assert big_sum([-1,2,3,4]) == 3
assert big_sum([2,3,6]) == 8

### Response:
Here is the Python function to find the sum of the largest and smallest value in a given array:

```python
def big_sum(arr):
    return max(arr) + min(arr)
```

--------------------------------------------------Mbpp/477--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to convert the given string to lower case.
>>> Test Cases:
assert is_lower("InValid") == "invalid"
assert is_lower("TruE") == "true"
assert is_lower("SenTenCE") == "sentence"

### Response:
Here is the Python function to convert the given string to lower case:

```python
def is_lower(s):
    return s.lower()
```

--------------------------------------------------Mbpp/478--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove lowercase substrings from a given string.
>>> Test Cases:
assert remove_lowercase("PYTHon")==('PYTH')
assert remove_lowercase("FInD")==('FID')
assert remove_lowercase("STRinG")==('STRG')

### Response:
Here is the Python function to remove lowercase substrings from a given string:

```python
def remove_lowercase(s):
    return ''.join([c for c in s if c.isupper()])
```

--------------------------------------------------Mbpp/479--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the first digit of a given number.
>>> Test Cases:
assert first_Digit(123) == 1
assert first_Digit(456) == 4
assert first_Digit(12) == 1

### Response:
Here is the Python function to find the first digit of a given number:

```python
def first_Digit(n):
    return int(str(n)[0])
```

--------------------------------------------------Mbpp/480--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the maximum occurring character in a given string.
>>> Test Cases:
assert get_max_occuring_char("data") == "a"
assert get_max_occuring_char("create") == "e"
assert get_max_occuring_char("brilliant girl") == "i"

### Response:
Here is the Python function to find the maximum occurring character in a given string:

```python
def get_max_occuring_char(string):
    frequency = {}
    for char in string:
        if char in frequency:
            frequency[char] += 1
        else:
            frequency[char] = 1
    max_char = max(frequency, key=frequency.get)
    return max_char
```

--------------------------------------------------Mbpp/555--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the difference between sum of cubes of first n natural numbers and the sum of first n natural numbers.
>>> Test Cases:
assert difference(3) == 30
assert difference(5) == 210
assert difference(2) == 6

### Response:
Here is the Python function to find the difference between sum of cubes of first n natural numbers and the sum of first n natural numbers:

```python
def difference(n):
    sum_of_cubes = sum([i**3 for i in range(1, n+1)])
    sum_of_numbers = sum([i for i in range(1, n+1)])
    return sum_of_cubes - sum_of_numbers
```

--------------------------------------------------Mbpp/556--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the pairs with xor as an odd number.
>>> Test Cases:
assert find_Odd_Pair([5,4,7,2,1],5) == 6
assert find_Odd_Pair([7,2,8,1,0,5,11],7) == 12
assert find_Odd_Pair([1,2,3],3) == 2

### Response:
Here is the Python function to count the pairs with xor as an odd number:

```python
def find_Odd_Pair(arr,n):
    count = 0
    for i in range(0, n):
        for j in range(i + 1, n):
            if (arr[i] ^ arr[j]) & 1:
                count += 1
    return count
```

--------------------------------------------------Mbpp/557--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to toggle characters case in a string.
>>> Test Cases:
assert toggle_string("Python")==("pYTHON")
assert toggle_string("Pangram")==("pANGRAM")
assert toggle_string("LIttLE")==("liTTle")

### Response:
Here is the Python function to toggle characters case in a string:

```python
def toggle_string(s):
    return s.swapcase()
```

--------------------------------------------------Mbpp/558--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the digit distance between two integers.
>>> Test Cases:
assert digit_distance_nums(1,2) == 1
assert digit_distance_nums(23,56) == 6
assert digit_distance_nums(123,256) == 7

### Response:
Here is the Python function to find the digit distance between two integers:

```python
def digit_distance_nums(num1, num2):
    num1 = str(num1)
    num2 = str(num2)
    distance = 0
    for digit1, digit2 in zip(num1, num2):
        distance += abs(int(digit1) - int(digit2))
    return distance
```

--------------------------------------------------Mbpp/559--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the largest sum of contiguous subarray in the given array.
>>> Test Cases:
assert max_sub_array_sum([-2, -3, 4, -1, -2, 1, 5, -3], 8) == 7
assert max_sub_array_sum([-3, -4, 5, -2, -3, 2, 6, -4], 8) == 8
assert max_sub_array_sum([-4, -5, 6, -3, -4, 3, 7, -5], 8) == 10

### Response:
Here is the Python function to find the largest sum of contiguous subarray:

```python
def max_sub_array_sum(arr,n):
    max_so_far = arr[0]
    curr_max = arr[0]

    for i in range(1, n):
        curr_max = max(arr[i], curr_max + arr[i])
        max_so_far = max(max_so_far,curr_max)
        
    return max_so_far
```

--------------------------------------------------Mbpp/560--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the union of elements of the given tuples.
>>> Test Cases:
assert union_elements((3, 4, 5, 6),(5, 7, 4, 10) ) == (3, 4, 5, 6, 7, 10)
assert union_elements((1, 2, 3, 4),(3, 4, 5, 6) ) == (1, 2, 3, 4, 5, 6)
assert union_elements((11, 12, 13, 14),(13, 15, 16, 17) ) == (11, 12, 13, 14, 15, 16, 17)

### Response:
Here is the Python function to find the union of elements of the given tuples:

```python
def union_elements(test_tup1, test_tup2):
    res = tuple(set(test_tup1) | set(test_tup2))
    return res
```

--------------------------------------------------Mbpp/561--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to assign with each element, its pair elements from other similar pairs in the given tuple.
>>> Test Cases:
assert assign_elements([(5, 3), (7, 5), (2, 7), (3, 8), (8, 4)] ) == {3: [8], 5: [3], 7: [5], 2: [7], 8: [4], 4: []}
assert assign_elements([(6, 4), (9, 4), (3, 8), (4, 9), (9, 5)] ) == {4: [9], 6: [4], 9: [4, 5], 8: [], 3: [8], 5: []}
assert assign_elements([(6, 2), (6, 8), (4, 9), (4, 9), (3, 7)] ) == {2: [], 6: [2, 8], 8: [], 9: [], 4: [9, 9], 7: [], 3: [7]}

### Response:
Here is the Python function to assign with each element, its pair elements from other similar pairs in the given tuple:

```python
def assign_elements(pairs):
    # Initialize an empty dictionary
    pair_dict = {}
    # Iterate over each pair
    for pair in pairs:
        # Add the pair elements to their corresponding lists in the dictionary
        pair_dict.setdefault(pair[0], []).append(pair[1])
        pair_dict.setdefault(pair[1], []).append(pair[0])
    return pair_dict
```

--------------------------------------------------Mbpp/563--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to extract values between quotation marks of a string.
>>> Test Cases:
assert extract_values('"Python", "PHP", "Java"')==['Python', 'PHP', 'Java']
assert extract_values('"python","program","language"')==['python','program','language']
assert extract_values('"red","blue","green","yellow"')==['red','blue','green','yellow']

### Response:
Here is a Python function that uses regular expressions to extract values between quotation marks from a string:

```python
import re

def extract_values(s):
    return re.findall(r'"([^"]*)"', s)
```

--------------------------------------------------Mbpp/564--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count unequal element pairs from the given array.
>>> Test Cases:
assert count_Pairs([1,2,1],3) == 2
assert count_Pairs([1,1,1,1],4) == 0
assert count_Pairs([1,2,3,4,5],5) == 10

### Response:
Here is the Python function to count unequal element pairs from the given array:

```python
def count_Pairs(arr, n):
    count = 0
    for i in range(0, n):
        for j in range(i+1, n):
            if arr[i] != arr[j]:
                count += 1
    return count
```

--------------------------------------------------Mbpp/565--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to split a string into characters.
>>> Test Cases:
assert split('python') == ['p','y','t','h','o','n']
assert split('Name') == ['N','a','m','e']
assert split('program') == ['p','r','o','g','r','a','m']

### Response:
Here is the python function to split a string into characters:

```python
def split(string):
    return list(string)
```

--------------------------------------------------Mbpp/566--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to get the sum of a non-negative integer.
>>> Test Cases:
assert sum_digits(345)==12
assert sum_digits(12)==3
assert sum_digits(97)==16

### Response:
Here is the Python function to get the sum of a non-negative integer:

```python
def sum_digits(n):
    return sum(int(digit) for digit in str(n))
```

--------------------------------------------------Mbpp/567--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether a specified list is sorted or not.
>>> Test Cases:
assert issort_list([1,2,4,6,8,10,12,14,16,17])==True
assert issort_list([1, 2, 4, 6, 8, 10, 12, 14, 20, 17])==False
assert issort_list([1, 2, 4, 6, 8, 10,15,14,20])==False

### Response:
Here is the Python function to check whether a specified list is sorted or not:

```python
def issort_list(lst):
    return all(lst[i] <= lst[i + 1] for i in range(len(lst) - 1))
```

--------------------------------------------------Mbpp/568--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to create a list of empty dictionaries.
>>> Test Cases:
assert empty_list(5)==[{},{},{},{},{}]
assert empty_list(6)==[{},{},{},{},{},{}]
assert empty_list(7)==[{},{},{},{},{},{},{}]

### Response:
Here is the Python function to create a list of empty dictionaries:

```python
def empty_list(n):
    return [{} for _ in range(n)]
```

--------------------------------------------------Mbpp/569--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort each sublist of strings in a given list of lists.
>>> Test Cases:
assert sort_sublists([['green', 'orange'], ['black', 'white'], ['white', 'black', 'orange']])==[['green', 'orange'], ['black', 'white'], ['black', 'orange', 'white']]
assert sort_sublists([['green', 'orange'], ['black'], ['green', 'orange'], ['white']])==[['green', 'orange'], ['black'], ['green', 'orange'], ['white']]
assert sort_sublists([['a','b'],['d','c'],['g','h'] , ['f','e']])==[['a', 'b'], ['c', 'd'], ['g', 'h'], ['e', 'f']]

### Response:
Here is the Python function to sort each sublist of strings in a given list of lists:

```python
def sort_sublists(lst):
    return [sorted(sublist) for sublist in lst]
```

--------------------------------------------------Mbpp/570--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove words from a given list of strings containing a character or string.
>>> Test Cases:
assert remove_words(['Red color', 'Orange#', 'Green', 'Orange @', "White"],['#', 'color', '@'])==['Red', '', 'Green', 'Orange', 'White']
assert remove_words(['Red &', 'Orange+', 'Green', 'Orange @', 'White'],['&', '+', '@'])==['Red', '', 'Green', 'Orange', 'White']
assert remove_words(['Red &', 'Orange+', 'Green', 'Orange @', 'White'],['@'])==['Red &', 'Orange+', 'Green', 'Orange', 'White']

### Response:
Here is the Python function to remove words from a given list of strings containing a character or string:

```python
def remove_words(words, chars):
    result = []
    for word in words:
        for char in chars:
            word = word.replace(char, '')
        result.append(word)
    return result
```

--------------------------------------------------Mbpp/573--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to calculate the product of the unique numbers of a given list.
>>> Test Cases:
assert unique_product([10, 20, 30, 40, 20, 50, 60, 40]) ==  720000000
assert unique_product([1, 2, 3, 1,]) == 6
assert unique_product([7, 8, 9, 0, 1, 1]) == 0

### Response:
Here is the Python function to calculate the product of the unique numbers of a given list:

```python
from functools import reduce
def unique_product(lst):
    unique_nums = set(lst)
    return reduce(lambda x, y: x * y, unique_nums)
```

--------------------------------------------------Mbpp/574--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the surface area of a cylinder.
>>> Test Cases:
assert surfacearea_cylinder(10,5)==942.45
assert surfacearea_cylinder(4,5)==226.18800000000002
assert surfacearea_cylinder(4,10)==351.848

### Response:
Here is the Python function to calculate the surface area of a cylinder:

```python
import math

def surfacearea_cylinder(r, h):
    # r is the radius and h is the height of the cylinder
    surface_area = 2 * math.pi * r * (r + h)
    return round(surface_area, 2)
```

--------------------------------------------------Mbpp/575--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find nth number in a sequence which is not a multiple of a given number.
>>> Test Cases:
assert count_no(2,3,1,10) == 5
assert count_no(3,6,4,20) == 11
assert count_no(5,10,4,20) == 16

### Response:
Here is the Python function to solve your problem:

```python
def count_no(nth, multiple, start, end):
    count = 0
    num = start
    while count < end:
        if num % multiple != 0:
            count += 1
            if count == nth:
                return num
        num += 1
    return -1
```

--------------------------------------------------Mbpp/577--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the last digit in factorial of a given number.
>>> Test Cases:
assert last_Digit_Factorial(4) == 4
assert last_Digit_Factorial(21) == 0
assert last_Digit_Factorial(30) == 0

### Response:
Here is the Python function to find the last digit in factorial of a given number:

```python
def last_Digit_Factorial(n):
    if n == 0:
        return 1
    else:
        fact = 1
        for i in range(1, n + 1):
            fact *= i
            while fact % 10 == 0:
                fact //= 10
            fact %= 1000000000
        return fact % 10
```

--------------------------------------------------Mbpp/578--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to interleave lists of the same length.
>>> Test Cases:
assert interleave_lists([1,2,3,4,5,6,7],[10,20,30,40,50,60,70],[100,200,300,400,500,600,700])==[1, 10, 100, 2, 20, 200, 3, 30, 300, 4, 40, 400, 5, 50, 500, 6, 60, 600, 7, 70, 700]
assert interleave_lists([10,20],[15,2],[5,10])==[10,15,5,20,2,10]
assert interleave_lists([11,44], [10,15], [20,5])==[11,10,20,44,15,5]

### Response:
Here is a Python function that interleaves lists of the same length:

```python
def interleave_lists(*args):
    return [val for sublist in zip(*args) for val in sublist]
```

--------------------------------------------------Mbpp/579--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the dissimilar elements in the given two tuples.
>>> Test Cases:
assert find_dissimilar((3, 4, 5, 6), (5, 7, 4, 10)) == (3, 6, 7, 10)
assert find_dissimilar((1, 2, 3, 4), (7, 2, 3, 9)) == (1, 4, 7, 9)
assert find_dissimilar((21, 11, 25, 26), (26, 34, 21, 36)) == (34, 36, 11, 25)

### Response:
Here is the Python function to find the dissimilar elements in the given two tuples:

```python
def find_dissimilar(tup1, tup2):
    return tuple(set(tup1) ^ set(tup2))
```

--------------------------------------------------Mbpp/580--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to extract the even elements in the nested mixed tuple.
>>> Test Cases:
assert extract_even((4, 5, (7, 6, (2, 4)), 6, 8)) == (4, (6, (2, 4)), 6, 8)
assert extract_even((5, 6, (8, 7, (4, 8)), 7, 9)) == (6, (8, (4, 8)))
assert extract_even((5, 6, (9, 8, (4, 6)), 8, 10)) == (6, (8, (4, 6)), 8, 10)

### Response:
Here is a recursive Python function that extracts even elements from a nested mixed tuple:

```python
def extract_even(tup):
    result = ()
    for item in tup:
        if isinstance(item, tuple):
            new_item = extract_even(item)
            if new_item:
                result += (new_item,)
        elif item % 2 == 0:
            result += (item,)
    return result
```

--------------------------------------------------Mbpp/581--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the surface area of the square pyramid.
>>> Test Cases:
assert surface_Area(3,4) == 33
assert surface_Area(4,5) == 56
assert surface_Area(1,2) == 5

### Response:
Sure, the surface area A of a square pyramid with base side length b and height h can be calculated using the formula A = 1/3 * bh + bs, where s is the slant height (which can be calculated using Pythagoras' theorem for a right-angled triangle). Here is the Python function for your problem:

```python
import math

def surface_Area(base, height):
    slant_height = math.sqrt(base**2 + height**2)
    area = 1/3 * base * height + base * slant_height
    return round(area)
```

--------------------------------------------------Mbpp/582--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if a dictionary is empty or not.
>>> Test Cases:
assert my_dict({10})==False
assert my_dict({11})==False
assert my_dict({})==True

### Response:
Here is the Python function to check if a dictionary is empty or not:

```python
def my_dict(d):
  return not bool(d)
```

--------------------------------------------------Mbpp/583--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function for nth catalan number.
>>> Test Cases:
assert catalan_number(10)==16796
assert catalan_number(9)==4862
assert catalan_number(7)==429

### Response:
The Catalan numbers are a sequence of positive integers that appear in many counting problems in combinatorics. They are defined by the formula:

C(n) = (2n choose n) / (n+1)

Here is the Python function for nth catalan number:

```python
def catalan_number(n):
    # Calculate 2n choose n
    numerator = 1
    for i in range(1, 2*n+1):
        numerator *= i
    denominator = 1
    for i in range(1, n+1):
        denominator *= i
    # Return nth catalan number
    return numerator // (denominator * (n+1))
```

--------------------------------------------------Mbpp/584--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find all adverbs and their positions in a given sentence by using regex.
>>> Test Cases:
assert find_adverbs("Clearly, he has no excuse for such behavior.") == '0-7: Clearly'
assert find_adverbs("Please handle the situation carefuly") == '28-36: carefuly'
assert find_adverbs("Complete the task quickly") == '18-25: quickly'

### Response:
Here is the Python function using regex to find adverbs and their positions in a given sentence:

```python
import re

def find_adverbs(sentence):
    # regex pattern for adverbs
    pattern = r'\b(?:always|usually|often|just|repeatedly|frequently|too|just|as|more|most|so|too|just|as|too|very|just|too|completely|absolutely|actually|definitely|formerly|formerly|lately|literally|kind of|sort of|really|physically|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|actually|act

--------------------------------------------------Mbpp/586--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to split the array and add the first part to the end.
>>> Test Cases:
assert split_Arr([12,10,5,6,52,36],6,2) == [5,6,52,36,12,10]
assert split_Arr([1,2,3,4],4,1) == [2,3,4,1]
assert split_Arr([0,1,2,3,4,5,6,7],8,3) == [3,4,5,6,7,0,1,2]

### Response:
Here is the Python function to split the array and add the first part to the end:

```python
def split_Arr(arr, n, k):
    # Splitting the array into two parts
    part1 = arr[:k]
    part2 = arr[k:]
    
    # Adding the first part to the end of the second part
    result = part2 + part1
    
    return result
```

--------------------------------------------------Mbpp/587--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert a list to a tuple.
>>> Test Cases:
assert list_tuple([5, 10, 7, 4, 15, 3])==(5, 10, 7, 4, 15, 3)
assert list_tuple([2, 4, 5, 6, 2, 3, 4, 4, 7])==(2, 4, 5, 6, 2, 3, 4, 4, 7)
assert list_tuple([58,44,56])==(58,44,56)

### Response:
Here is the Python function to convert a list to a tuple:

```python
def list_tuple(lst):
    return tuple(lst)
```

--------------------------------------------------Mbpp/588--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the difference between largest and smallest value in a given array.
>>> Test Cases:
assert big_diff([1,2,3,4]) == 3
assert big_diff([4,5,12]) == 8
assert big_diff([9,2,3]) == 7

### Response:
Here is the Python function to find the difference between largest and smallest value in a given array:

```python
def big_diff(nums):
    return max(nums) - min(nums)
```

--------------------------------------------------Mbpp/589--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find perfect squares between two given numbers.
>>> Test Cases:
assert perfect_squares(1,30)==[1, 4, 9, 16, 25]
assert perfect_squares(50,100)==[64, 81, 100]
assert perfect_squares(100,200)==[100, 121, 144, 169, 196]

### Response:
Here is the Python function to find perfect squares between two given numbers:

```python
def perfect_squares(start, end):
    return [i * i for i in range(int(start ** 0.5), int(end ** 0.5) + 1)]
```

--------------------------------------------------Mbpp/590--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert polar coordinates to rectangular coordinates.
>>> Test Cases:
assert polar_rect(3,4)==((5.0, 0.9272952180016122), (-2+2.4492935982947064e-16j))
assert polar_rect(4,7)==((8.06225774829855, 1.0516502125483738), (-2+2.4492935982947064e-16j))
assert polar_rect(15,17)==((22.67156809750927, 0.8478169733934057), (-2+2.4492935982947064e-16j))

### Response:
Sure, here is the Python function to convert polar coordinates to rectangular coordinates:

```python
import cmath

def polar_rect(r, theta):
    # Convert theta from degrees to radians
    theta = cmath.radians(theta)
    # Calculate rectangular coordinates
    x = r * cmath.cos(theta)
    y = r * cmath.sin(theta)
    return ((r, x), (theta, y))
```

--------------------------------------------------Mbpp/591--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to interchange the first and last elements in a list.
>>> Test Cases:
assert swap_List([12, 35, 9, 56, 24]) == [24, 35, 9, 56, 12]
assert swap_List([1, 2, 3]) == [3, 2, 1]
assert swap_List([4, 5, 6]) == [6, 5, 4]

### Response:
Here is the python function to interchange the first and last elements in a list:

```python
def swap_List(test_list):
    test_list[0], test_list[-1] = test_list[-1], test_list[0]
    return test_list
```

--------------------------------------------------Mbpp/592--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find sum of product of binomial co-efficients.
>>> Test Cases:
assert sum_Of_product(3) == 15
assert sum_Of_product(4) == 56
assert sum_Of_product(1) == 1

### Response:
Here is the python function to find sum of product of binomial co-efficients:

```python
import math

def sum_Of_product(n):
    sum_product = 0
    for i in range(1, n+1):
        for j in range(i+1, n+2):
            sum_product += math.comb(n+1, i) * math.comb(n+1, j)
    return sum_product
```

--------------------------------------------------Mbpp/593--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove leading zeroes from an ip address.
>>> Test Cases:
assert removezero_ip("216.08.094.196")==('216.8.94.196') 
assert removezero_ip("12.01.024")==('12.1.24') 
assert removezero_ip("216.08.094.0196")==('216.8.94.196') 

### Response:
Here is the Python function to remove leading zeroes from an IP address:

```python
def removezero_ip(ip):
    ip_parts = ip.split('.')
    ip_parts = [str(int(part)) for part in ip_parts]
    return '.'.join(ip_parts)
```

--------------------------------------------------Mbpp/594--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the difference of first even and odd number of a given list.
>>> Test Cases:
assert diff_even_odd([1,3,5,7,4,1,6,8])==3
assert diff_even_odd([1,2,3,4,5,6,7,8,9,10])==1
assert diff_even_odd([1,5,7,9,10])==9

### Response:
Here is the Python function to solve your problem:

```python
def diff_even_odd(nums):
    even = next((num for num in nums if num % 2 == 0), None)
    odd = next((num for num in nums if num % 2 != 0), None)
    return abs(even - odd) if even and odd else None
```

--------------------------------------------------Mbpp/595--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count minimum number of swaps required to convert one binary string to another.
>>> Test Cases:
assert min_Swaps("1101","1110") == 1
assert min_Swaps("111","000") == "Not Possible"
assert min_Swaps("111","110") == "Not Possible"

### Response:
Here is the Python function to count minimum number of swaps required to convert one binary string to another:

```python
def min_Swaps(s1, s2):
    # Count the number of different characters
    count = 0
    for i in range(len(s1)):
        if s1[i] != s2[i]:
            count += 1

    # If the number of different characters is odd, return "Not Possible"
    if count % 2 != 0:
        return "Not Possible"

    # Return the number of different characters divided by 2
    return count // 2
```

--------------------------------------------------Mbpp/596--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the size of the given tuple.
>>> Test Cases:
assert tuple_size(("A", 1, "B", 2, "C", 3) ) == sys.getsizeof(("A", 1, "B", 2, "C", 3))
assert tuple_size((1, "Raju", 2, "Nikhil", 3, "Deepanshu") ) == sys.getsizeof((1, "Raju", 2, "Nikhil", 3, "Deepanshu"))
assert tuple_size(((1, "Lion"), ( 2, "Tiger"), (3, "Fox"), (4, "Wolf"))  ) == sys.getsizeof(((1, "Lion"), ( 2, "Tiger"), (3, "Fox"), (4, "Wolf")))

### Response:
Here is the Python function to find the size of the given tuple:

```python
import sys

def tuple_size(test_tup):
  return sys.getsizeof(test_tup)
```

--------------------------------------------------Mbpp/597--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find kth element from the given two sorted arrays.
>>> Test Cases:
assert find_kth([2, 3, 6, 7, 9], [1, 4, 8, 10], 5, 4, 5) == 6
assert find_kth([100, 112, 256, 349, 770], [72, 86, 113, 119, 265, 445, 892], 5, 7, 7) == 256
assert find_kth([3, 4, 7, 8, 10], [2, 5, 9, 11], 5, 4, 6) == 8

### Response:
Here is the Python function to find kth element from the given two sorted arrays:

```python
def find_kth(arr1, arr2, m, n, k):
    new_arr = arr1 + arr2
    new_arr.sort()
    return new_arr[k-1]
```

--------------------------------------------------Mbpp/598--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether the given number is armstrong or not.
>>> Test Cases:
assert armstrong_number(153)==True
assert armstrong_number(259)==False
assert armstrong_number(4458)==False

### Response:
An Armstrong number of three digits is an integer such that the sum of the cubes of its digits is equal to the number itself. For example, 153 is an Armstrong number since 153=1^3+5^3+3^3.

Here is the Python function to check whether the given number is Armstrong or not:

```python
def armstrong_number(num):
    # Convert the number to string to easily access digits
    num_str = str(num)
    num_len = len(num_str)

    # Calculate the sum of the cubes of the digits
    sum_cubes = sum(int(digit)**num_len for digit in num_str)

    # Check if the sum is equal to the original number
    return sum_cubes == num
```

--------------------------------------------------Mbpp/599--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find sum and average of first n natural numbers.
>>> Test Cases:
assert sum_average(10)==(55, 5.5)
assert sum_average(15)==(120, 8.0)
assert sum_average(20)==(210, 10.5)

### Response:
Here is the Python function to find sum and average of first n natural numbers:

```python
def sum_average(n):
    sum_nums = n * (n + 1) // 2
    avg_nums = sum_nums / n
    return (sum_nums, avg_nums)
```

--------------------------------------------------Mbpp/600--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the given number is even or not using bitwise operator.
>>> Test Cases:
assert is_Even(1) == False
assert is_Even(2) == True
assert is_Even(3) == False

### Response:
Here is the Python function using bitwise operator to check whether the given number is even or not:

```python
def is_Even(n):
    return n & 1 == 0
```

--------------------------------------------------Mbpp/601--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the longest chain which can be formed from the given set of pairs.
>>> Test Cases:
assert max_chain_length([Pair(5, 24), Pair(15, 25),Pair(27, 40), Pair(50, 60)], 4) == 3
assert max_chain_length([Pair(1, 2), Pair(3, 4),Pair(5, 6), Pair(7, 8)], 4) == 4
assert max_chain_length([Pair(19, 10), Pair(11, 12),Pair(13, 14), Pair(15, 16), Pair(31, 54)], 5) == 5

### Response:
Here is the Python function to solve your problem:

```python
class Pair:
    def __init__(self, first, second):
        self.first = first
        self.second = second

def max_chain_length(pairs, n):
    pairs.sort(key=lambda pair: pair.second)
    dp = [1] * n
    for i in range(1, n):
        for j in range(i):
            if pairs[i].first > pairs[j].second and dp[i] < dp[j] + 1:
                dp[i] = dp[j] + 1
    return max(dp)
```

--------------------------------------------------Mbpp/603--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to get a lucid number smaller than or equal to n.
>>> Test Cases:
assert get_ludic(10) == [1, 2, 3, 5, 7]
assert get_ludic(25) == [1, 2, 3, 5, 7, 11, 13, 17, 23, 25]
assert get_ludic(45) == [1, 2, 3, 5, 7, 11, 13, 17, 23, 25, 29, 37, 41, 43]

### Response:
Lucas numbers are a sequence of integers similar to the Fibonacci sequence, but with different initial values. The sequence starts with 2 and 1 instead of 1 and 1.

The nth Lucas number can be calculated using the formula:

L_n = L_(n-1) + L_(n-2)

where:

L_0 = 2
L_1 = 1

Here is the Python function to get a lucid number smaller than or equal to n:

```python
def get_ludic(n):
    if n < 1:
        return []
    ludic = [2, 1]
    while ludic[-1] + ludic[-2] <= n:
        ludic.append(ludic[-1] + ludic[-2])
    return ludic
```

--------------------------------------------------Mbpp/604--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to reverse words in a given string.
>>> Test Cases:
assert reverse_words("python program")==("program python")
assert reverse_words("java language")==("language java")
assert reverse_words("indian man")==("man indian")

### Response:
Here is the Python function to reverse words in a given string:

```python
def reverse_words(s):
    words = s.split(' ')
    reversed_s = ' '.join(reversed(words))
    return reversed_s
```

--------------------------------------------------Mbpp/605--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if the given integer is a prime number.
>>> Test Cases:
assert prime_num(13)==True
assert prime_num(7)==True
assert prime_num(-1010)==False

### Response:
Here is the Python function to check if the given integer is a prime number:

```python
def prime_num(n):
    if n <= 1 or (n % 2 == 0 and n > 2): 
        return False
    for i in range(3, int(n**0.5) + 1, 2):
        if n % i == 0:
            return False
    return True
```

--------------------------------------------------Mbpp/606--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert degrees to radians.
>>> Test Cases:
assert radian_degree(90)==1.5707963267948966
assert radian_degree(60)==1.0471975511965976
assert radian_degree(120)==2.0943951023931953

### Response:
Here is the Python function to convert degrees to radians:

```python
import math

def radian_degree(deg):
    return math.radians(deg)
```

--------------------------------------------------Mbpp/607--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to search a literals string in a string and also find the location within the original string where the pattern occurs by using regex.
>>> Test Cases:
assert find_literals('The quick brown fox jumps over the lazy dog.', 'fox') == ('fox', 16, 19)
assert find_literals('Its been a very crazy procedure right', 'crazy') == ('crazy', 16, 21)
assert find_literals('Hardest choices required strongest will', 'will') == ('will', 35, 39)

### Response:
Here is the Python function using regular expressions (regex) to solve your problem:

```python
import re

def find_literals(text, pattern):
    match = re.search(pattern, text)
    if match:
        return (pattern, match.start(), match.end())
    else:
        return None
```

--------------------------------------------------Mbpp/608--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find nth bell number.
>>> Test Cases:
assert bell_Number(2) == 2
assert bell_Number(3) == 5
assert bell_Number(4) == 15

### Response:
Here is a Python function to calculate the nth Bell number using dynamic programming:

```python
def bell_Number(n):
    # Create a table to store results of subproblems
    bell = [[0 for i in range(n+1)] for j in range(n+1)]
    bell[0][0] = 1
    for i in range(1, n+1):
        # Explicitly fill for j = 0
        bell[i][0] = bell[i-1][i-1]
        # Fill for remaining values of j
        for j in range(1, i+1):
            bell[i][j] = bell[i-1][j-1] + bell[i][j-1]
    return bell[n][0]
```

--------------------------------------------------Mbpp/609--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find minimum possible value for the given periodic function.
>>> Test Cases:
assert floor_Min(10,20,30) == 15
assert floor_Min(1,2,1) == 0
assert floor_Min(11,10,9) == 9

### Response:
The function floor_Min is not a periodic function, it seems like it's a function that takes three arguments and returns the minimum possible value. However, without the definition of the function, it's impossible to provide a Python function.

If the function is a simple mathematical function, you can simply define it and then find the minimum value. For example, if the function is f(x) = ax^2 + bx + c, you can define it as follows:

```python
def f(x, a, b, c):
    return a*x**2 + b*x + c
```

--------------------------------------------------Mbpp/611--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum of nth column from the given tuple list.
>>> Test Cases:
assert max_of_nth([(5, 6, 7), (1, 3, 5), (8, 9, 19)], 2) == 19
assert max_of_nth([(6, 7, 8), (2, 4, 6), (9, 10, 20)], 1) == 10
assert max_of_nth([(7, 8, 9), (3, 5, 7), (10, 11, 21)], 1) == 11

### Response:
Here is the Python function to find the maximum of nth column from the given tuple list:

```python
def max_of_nth(tuples_list, n):
    return max(tup[n-1] for tup in tuples_list)
```

--------------------------------------------------Mbpp/612--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to merge the first and last elements separately in a list of lists.
>>> Test Cases:
assert merge([['x', 'y'], ['a', 'b'], ['m', 'n']]) == [['x', 'a', 'm'], ['y', 'b', 'n']]
assert merge([[1, 2], [3, 4], [5, 6], [7, 8]]) == [[1, 3, 5, 7], [2, 4, 6, 8]]
assert merge([['x', 'y','z' ], ['a', 'b','c'], ['m', 'n','o']]) == [['x', 'a', 'm'], ['y', 'b', 'n'],['z', 'c','o']]

### Response:
Here is the Python function to merge the first and last elements separately in a list of lists:

```python
def merge(lst):
    return [[sub[i] for sub in lst] for i in range(len(lst[0]))]
```

--------------------------------------------------Mbpp/613--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the maximum value in record list as tuple attribute in the given tuple list.
>>> Test Cases:
assert maximum_value([('key1', [3, 4, 5]), ('key2', [1, 4, 2]), ('key3', [9, 3])]) == [('key1', 5), ('key2', 4), ('key3', 9)]
assert maximum_value([('key1', [4, 5, 6]), ('key2', [2, 5, 3]), ('key3', [10, 4])]) == [('key1', 6), ('key2', 5), ('key3', 10)]
assert maximum_value([('key1', [5, 6, 7]), ('key2', [3, 6, 4]), ('key3', [11, 5])]) == [('key1', 7), ('key2', 6), ('key3', 11)]

### Response:
Here is the Python function to solve your problem:

```python
def maximum_value(records):
    return [(key, max(values)) for key, values in records]
```

--------------------------------------------------Mbpp/615--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find average value of the numbers in a given tuple of tuples.
>>> Test Cases:
assert average_tuple(((10, 10, 10, 12), (30, 45, 56, 45), (81, 80, 39, 32), (1, 2, 3, 4)))==[30.5, 34.25, 27.0, 23.25]
assert average_tuple(((1, 1, -5), (30, -15, 56), (81, -60, -39), (-10, 2, 3)))== [25.5, -18.0, 3.75]
assert average_tuple( ((100, 100, 100, 120), (300, 450, 560, 450), (810, 800, 390, 320), (10, 20, 30, 40)))==[305.0, 342.5, 270.0, 232.5]

### Response:
Here is the Python function to solve your problem:

```python
def average_tuple(tuples):
    averages = []
    for tup in tuples:
        averages.append(sum(tup)/len(tup))
    return averages
```

--------------------------------------------------Mbpp/616--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to perfom the modulo of tuple elements in the given two tuples.
>>> Test Cases:
assert tuple_modulo((10, 4, 5, 6), (5, 6, 7, 5)) == (0, 4, 5, 1)
assert tuple_modulo((11, 5, 6, 7), (6, 7, 8, 6)) == (5, 5, 6, 1)
assert tuple_modulo((12, 6, 7, 8), (7, 8, 9, 7)) == (5, 6, 7, 1)

### Response:
Here is the Python function to perform modulo of tuple elements in the given two tuples:

```python
def tuple_modulo(tup1, tup2):
    return tuple(a % b for a, b in zip(tup1, tup2))
```

--------------------------------------------------Mbpp/617--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check for the number of jumps required of given length to reach a point of form (d, 0) from origin in a 2d plane.
>>> Test Cases:
assert min_Jumps(3,4,11)==3.5
assert min_Jumps(3,4,0)==0
assert min_Jumps(11,14,11)==1

### Response:
Here is the Python function to solve your problem:

```python
import math

def min_Jumps(d, x, y):
    # Calculate the distance from origin to point (x, y)
    distance = math.sqrt(x**2 + y**2)
    
    # If the distance is less than the given length, return 0 jumps
    if distance <= d:
        return 0
    
    # Calculate the remaining distance to reach (d, 0)
    remaining_distance = distance - d
    
    # Calculate the number of jumps required
    jumps = math.ceil(remaining_distance / d)
    
    return jumps
```

--------------------------------------------------Mbpp/619--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to move all the numbers in it to the given string.
>>> Test Cases:
assert move_num('I1love143you55three3000thousand') == 'Iloveyouthreethousand1143553000'
assert move_num('Avengers124Assemble') == 'AvengersAssemble124'
assert move_num('Its11our12path13to14see15things16do17things') == 'Itsourpathtoseethingsdothings11121314151617'

### Response:
Here is the Python function to move all the numbers in it to the given string:

```python
def move_num(s):
    nums = [str(i) for i in range(10)]
    nums_in_s = [c for c in s if c in nums]
    chars_in_s = [c for c in s if c not in nums]
    return ''.join(chars_in_s + nums_in_s)
```

--------------------------------------------------Mbpp/620--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the largest subset where each pair is divisible.
>>> Test Cases:
assert largest_subset([ 1, 3, 6, 13, 17, 18 ], 6) == 4
assert largest_subset([10, 5, 3, 15, 20], 5) == 3
assert largest_subset([18, 1, 3, 6, 13, 17], 6) == 4

### Response:
Here is a Python function that solves your problem:

```python
def largest_subset(arr, n):
    arr.sort()
    dp = [1]*n
    for i in range(1, n):
        for j in range(i):
            if arr[i] % arr[j] == 0:
                dp[i] = max(dp[i], dp[j]+1)
    return max(dp)
```

--------------------------------------------------Mbpp/621--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to increment the numeric values in the given strings by k.
>>> Test Cases:
assert increment_numerics(["MSM", "234", "is", "98", "123", "best", "4"] , 6) == ['MSM', '240', 'is', '104', '129', 'best', '10']
assert increment_numerics(["Dart", "356", "is", "88", "169", "Super", "6"] , 12) == ['Dart', '368', 'is', '100', '181', 'Super', '18']
assert increment_numerics(["Flutter", "451", "is", "44", "96", "Magnificent", "12"] , 33) == ['Flutter', '484', 'is', '77', '129', 'Magnificent', '45']

### Response:
Here is the Python function to increment the numeric values in the given strings by k:

```python
def increment_numerics(lst, k):
    return [str(int(x) + k) if x.isdigit() else x for x in lst]
```

--------------------------------------------------Mbpp/623--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the n-th power of individual elements in a list using lambda function.
>>> Test Cases:
assert nth_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],2)==[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
assert nth_nums([10,20,30],3)==([1000, 8000, 27000])
assert nth_nums([12,15],5)==([248832, 759375])

### Response:
Here is the Python function using lambda function to find the n-th power of individual elements in a list:

```python
def nth_nums(lst, n):
    return list(map(lambda x: x**n, lst))
```

--------------------------------------------------Mbpp/624--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to convert the given string to upper case.
>>> Test Cases:
assert is_upper("person") =="PERSON"
assert is_upper("final") == "FINAL"
assert is_upper("Valid") == "VALID"

### Response:
Here is the Python function to convert the given string to upper case:

```python
def is_upper(s):
    return s.upper()
```

--------------------------------------------------Mbpp/625--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to interchange first and last elements in a given list.
>>> Test Cases:
assert swap_List([1,2,3]) == [3,2,1]
assert swap_List([1,2,3,4,4]) == [4,2,3,4,1]
assert swap_List([4,5,6]) == [6,5,4]

### Response:
Here is the python function to interchange first and last elements in a given list:

```python
def swap_List(test_list):
    test_list[0], test_list[-1] = test_list[-1], test_list[0]
    return test_list
```

--------------------------------------------------Mbpp/627--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the smallest missing number from the given array.
>>> Test Cases:
assert find_First_Missing([0,1,2,3],0,3) == 4
assert find_First_Missing([0,1,2,6,9],0,4) == 3
assert find_First_Missing([2,3,5,8,9],0,4) == 0

### Response:
Here is the Python function to find the smallest missing number from the given array:

```python
def find_First_Missing(arr,start,end):
    n = end - start + 1
    for i in range(start, end):
        if arr[i] < n:
            return i
    return n
```

--------------------------------------------------Mbpp/629--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find even numbers from a mixed list.
>>> Test Cases:
assert Split([1,2,3,4,5]) == [2,4]
assert Split([4,5,6,7,8,0,1]) == [4,6,8,0]
assert Split ([8,12,15,19]) == [8,12]

### Response:
Here is the Python function to find even numbers from a mixed list:

```python
def Split(lst):
    return [num for num in lst if num % 2 == 0]
```

--------------------------------------------------Mbpp/630--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to extract all the adjacent coordinates of the given coordinate tuple.
>>> Test Cases:
assert get_coordinates((3, 4)) == [[2, 3], [2, 4], [2, 5], [3, 3], [3, 4], [3, 5], [4, 3], [4, 4], [4, 5]]
assert get_coordinates((4, 5)) ==[[3, 4], [3, 5], [3, 6], [4, 4], [4, 5], [4, 6], [5, 4], [5, 5], [5, 6]]
assert get_coordinates((5, 6)) == [[4, 5], [4, 6], [4, 7], [5, 5], [5, 6], [5, 7], [6, 5], [6, 6], [6, 7]]

### Response:
Here is the Python function to extract all the adjacent coordinates of the given coordinate tuple:

```python
def get_coordinates(coord):
    x, y = coord
    min_x, max_x = max(x-2, 0), x+2
    min_y, max_y = max(y-2, 0), y+2
    return [[i, j] for i in range(min_x, max_x+1) for j in range(min_y, max_y+1) if (i, j) != coord]
```

--------------------------------------------------Mbpp/631--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to replace whitespaces with an underscore and vice versa in a given string by using regex.
>>> Test Cases:
assert replace_spaces('Jumanji The Jungle') == 'Jumanji_The_Jungle'
assert replace_spaces('The Avengers') == 'The_Avengers'
assert replace_spaces('Fast and Furious') == 'Fast_and_Furious'

### Response:
Here is the Python function using regex to replace whitespaces with an underscore and vice versa:

```python
import re

def replace_spaces(s):
    s = re.sub('_', ' ', s)
    s = re.sub(' ', '_', s)
    return s
```

--------------------------------------------------Mbpp/632--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to move all zeroes to the end of the given list.
>>> Test Cases:
assert move_zero([1,0,2,0,3,4]) == [1,2,3,4,0,0]
assert move_zero([2,3,2,0,0,4,0,5,0]) == [2,3,2,4,5,0,0,0,0]
assert move_zero([0,1,0,1,1]) == [1,1,1,0,0]

### Response:
Here is the Python function to move all zeroes to the end of the given list:

```python
def move_zero(nums):
    zero_count = nums.count(0)
    nums = [num for num in nums if num != 0]
    nums.extend([0]*zero_count)
    return nums
```

--------------------------------------------------Mbpp/633--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of xor of all pairs of numbers in the given array.
>>> Test Cases:
assert pair_OR_Sum([5,9,7,6],4) == 47
assert pair_OR_Sum([7,3,5],3) == 12
assert pair_OR_Sum([7,3],2) == 4

### Response:
Here is the Python function to find the sum of XOR of all pairs of numbers in the given array:

```python
def pair_OR_Sum(arr,n):
    sum = 0
    for i in range(0,n):
        for j in range(i+1,n):
            sum += arr[i] ^ arr[j]
    return sum*2
```

--------------------------------------------------Mbpp/634--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of fourth power of first n even natural numbers.
>>> Test Cases:
assert even_Power_Sum(2) == 272
assert even_Power_Sum(3) == 1568
assert even_Power_Sum(4) == 5664

### Response:
Here is the Python function to find the sum of fourth power of first n even natural numbers:

```python
def even_Power_Sum(n):
    sum = 0
    for i in range(2, 2*n+1, 2):
        sum += i**4
    return sum
```

--------------------------------------------------Mbpp/636--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check if roots of a quadratic equation are reciprocal of each other or not.
>>> Test Cases:
assert Check_Solution(2,0,2) == "Yes"
assert Check_Solution(2,-5,2) == "Yes"
assert Check_Solution(1,2,3) == "No"

### Response:
Here is the Python function to check if roots of a quadratic equation are reciprocal of each other or not:

```python
import cmath

def Check_Solution(a, b, c):
    # calculate the discriminant
    d = (b**2) - (4*a*c)

    # find two solutions
    sol1 = (-b-cmath.sqrt(d))/(2*a)
    sol2 = (-b+cmath.sqrt(d))/(2*a)

    # check if roots are reciprocal
    if 1/sol1 == 1/sol2:
        return "Yes"
    else:
        return "No"
```

--------------------------------------------------Mbpp/638--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate wind chill index.
>>> Test Cases:
assert wind_chill(120,35)==40
assert wind_chill(40,70)==86
assert wind_chill(10,100)==116

### Response:
Here is the Python function to calculate wind chill index:

```python
import math

def wind_chill(velocity, temperature):
    return round(35.74 + 0.6215*temperature + (0.4275*temperature - 35.75) * math.pow(velocity, 0.16))
```

--------------------------------------------------Mbpp/639--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sum the length of the names of a given list of names after removing the names that start with a lowercase letter.
>>> Test Cases:
assert sample_nam(['sally', 'Dylan', 'rebecca', 'Diana', 'Joanne', 'keith'])==16
assert sample_nam(["php", "res", "Python", "abcd", "Java", "aaa"])==10
assert sample_nam(["abcd", "Python", "abba", "aba"])==6

### Response:
Here is the Python function that sums the length of the names of a given list of names after removing the names that start with a lowercase letter:

```python
def sample_nam(names):
    return sum(len(name) for name in names if name[0].isupper())
```

--------------------------------------------------Mbpp/640--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove the parenthesis area in a string.
>>> Test Cases:
assert remove_parenthesis(["python (chrome)"])==("python")
assert remove_parenthesis(["string(.abc)"])==("string")
assert remove_parenthesis(["alpha(num)"])==("alpha")

### Response:
Here is the Python function to remove the parenthesis area in a string:

```python
def remove_parenthesis(strings):
    return [s.split('(')[0].split(')')[-1] for s in strings]
```

--------------------------------------------------Mbpp/641--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the nth nonagonal number.
>>> Test Cases:
assert is_nonagonal(10) == 325
assert is_nonagonal(15) == 750
assert is_nonagonal(18) == 1089

### Response:
The nth nonagonal number can be found using the formula: n(7n-5)/2. Here is the Python function:

```python
def is_nonagonal(n):
    return n*(7*n-5)//2
```

--------------------------------------------------Mbpp/642--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove similar rows from the given tuple matrix.
>>> Test Cases:
assert remove_similar_row([[(4, 5), (3, 2)], [(2, 2), (4, 6)], [(3, 2), (4, 5)]] ) == {((2, 2), (4, 6)), ((3, 2), (4, 5))}
assert remove_similar_row([[(5, 6), (4, 3)], [(3, 3), (5, 7)], [(4, 3), (5, 6)]] ) == {((4, 3), (5, 6)), ((3, 3), (5, 7))}
assert remove_similar_row([[(6, 7), (5, 4)], [(4, 4), (6, 8)], [(5, 4), (6, 7)]] ) =={((4, 4), (6, 8)), ((5, 4), (6, 7))}

### Response:
Here is the Python function to remove similar rows from the given tuple matrix:

```python
def remove_similar_row(matrix):
    unique_rows = set()
    for row in matrix:
        unique_rows.add(tuple(sorted(row)))
    return unique_rows
```

--------------------------------------------------Mbpp/644--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to reverse an array upto a given position.
>>> Test Cases:
assert reverse_Array_Upto_K([1, 2, 3, 4, 5, 6],4) == [4, 3, 2, 1, 5, 6]
assert reverse_Array_Upto_K([4, 5, 6, 7], 2) == [5, 4, 6, 7]
assert reverse_Array_Upto_K([9, 8, 7, 6, 5],3) == [7, 8, 9, 6, 5]

### Response:
Here is the Python function to reverse an array upto a given position:

```python
def reverse_Array_Upto_K(arr, k):
    arr[:k] = arr[:k][::-1]
    return arr
```

--------------------------------------------------Mbpp/645--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the product of it’s kth index in the given tuples.
>>> Test Cases:
assert find_k_product([(5, 6, 7), (1, 3, 5), (8, 9, 19)], 2) == 665
assert find_k_product([(6, 7, 8), (2, 4, 6), (9, 10, 20)], 1) == 280
assert find_k_product([(7, 8, 9), (3, 5, 7), (10, 11, 21)], 0) == 210

### Response:
Here is the Python function to solve your problem:

```python
def find_k_product(tuples_list, k):
    product = 1
    for tup in tuples_list:
        product *= tup[k]
    return product
```

--------------------------------------------------Mbpp/721--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find a path with the maximum average over all existing paths for the given square matrix of size n*n.
>>> Test Cases:
assert maxAverageOfPath([[1, 2, 3], [6, 5, 4], [7, 3, 9]], 3) == 5.2
assert maxAverageOfPath([[2, 3, 4], [7, 6, 5], [8, 4, 10]], 3) == 6.2
assert maxAverageOfPath([[3, 4, 5], [8, 7, 6], [9, 5, 11]], 3) == 7.2 

### Response:
This problem can be solved using dynamic programming. The idea is to start from the bottom right corner and move towards the top left corner, updating the maximum average path for each cell.

Here is the Python code for the problem:

```python
def maxAverageOfPath(matrix, n):
    dp = [[0]*n for _ in range(n)]
    dp[-1][-1] = matrix[-1][-1]
    
    for i in range(n-2, -1, -1):
        dp[i][n-1] = max(dp[i+1][n-1], matrix[i][n-1] + dp[i+1][n-1])
        dp[n-1][i] = max(dp[n-1][i+1], matrix[n-1][i] + dp[n-1][i+1])
    
    for i in range(n-2, -1, -1):
        for j in range(n-2, -1, -1):
            dp[i][j] = max(dp[i+1][j], dp[i][j+1], matrix[i][j] + dp[i+1][j], matrix[i][j] + dp[i][j+1])
    
    return dp[0][0]/2
```

--------------------------------------------------Mbpp/722--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to filter the height and width of students which are stored in a dictionary.
>>> Test Cases:
assert filter_data({'Cierra Vega': (6.2, 70), 'Alden Cantrell': (5.9, 65), 'Kierra Gentry': (6.0, 68), 'Pierre Cox': (5.8, 66)},6.0,70)=={'Cierra Vega': (6.2, 70)}
assert filter_data({'Cierra Vega': (6.2, 70), 'Alden Cantrell': (5.9, 65), 'Kierra Gentry': (6.0, 68), 'Pierre Cox': (5.8, 66)},5.9,67)=={'Cierra Vega': (6.2, 70),'Kierra Gentry': (6.0, 68)}
assert filter_data({'Cierra Vega': (6.2, 70), 'Alden Cantrell': (5.9, 65), 'Kierra Gentry': (6.0, 68), 'Pierre Cox': (5.8, 66)},5.7,64)=={'Cierra Vega': (6.2, 70),'Alden Cantrell': (5.9, 65),'Kierra Gentry': (6.0, 68),'Pierre Cox': (5.8, 66)}

### Response:
Here is the Python function to filter height and width of students stored in a dictionary:

```python
def filter_data(students, min_height, min_weight):
    return {name: data for name, data in students.items() if data[0] >= min_height and data[1] >= min_weight}
```

--------------------------------------------------Mbpp/723--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to count the same pair in two given lists using map function.
>>> Test Cases:
assert count_same_pair([1, 2, 3, 4, 5, 6, 7, 8],[2, 2, 3, 1, 2, 6, 7, 9])==4
assert count_same_pair([0, 1, 2, -1, -5, 6, 0, -3, -2, 3, 4, 6, 8],[2, 1, 2, -1, -5, 6, 4, -3, -2, 3, 4, 6, 8])==11
assert count_same_pair([2, 4, -6, -9, 11, -12, 14, -5, 17],[2, 1, 2, -1, -5, 6, 4, -3, -2, 3, 4, 6, 8])==1

### Response:
Here is the Python function using map function to count the same pair in two given lists:

```python
def count_same_pair(list1, list2):
    return sum(map(lambda x, y: x == y, list1, list2))
```

--------------------------------------------------Mbpp/724--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the sum of all digits of the base to the specified power.
>>> Test Cases:
assert power_base_sum(2,100)==115
assert power_base_sum(8,10)==37
assert power_base_sum(8,15)==62

### Response:
Here is the Python function to calculate the sum of all digits of the base to the specified power:

```python
def power_base_sum(base, power):
    num = base ** power
    return sum(int(digit) for digit in str(num))
```

--------------------------------------------------Mbpp/725--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to extract values between quotation marks of the given string by using regex.
>>> Test Cases:
assert extract_quotation('Cortex "A53" Based "multi" tasking "Processor"') == ['A53', 'multi', 'Processor']
assert extract_quotation('Cast your "favorite" entertainment "apps"') == ['favorite', 'apps']
assert extract_quotation('Watch content "4k Ultra HD" resolution with "HDR 10" Support') == ['4k Ultra HD', 'HDR 10']

### Response:
Here is the Python function using regex to extract values between quotation marks of the given string:

```python
import re

def extract_quotation(s):
    return re.findall(r'"([^"]*)"', s)
```

--------------------------------------------------Mbpp/726--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to multiply the adjacent elements of the given tuple.
>>> Test Cases:
assert multiply_elements((1, 5, 7, 8, 10)) == (5, 35, 56, 80)
assert multiply_elements((2, 4, 5, 6, 7)) == (8, 20, 30, 42)
assert multiply_elements((12, 13, 14, 9, 15)) == (156, 182, 126, 135)

### Response:
Here is the Python function to multiply the adjacent elements of the given tuple:

```python
def multiply_elements(test_tup):
    res = tuple(test_tup[i] * test_tup[i + 1] for i in range(len(test_tup) - 1))
    return res
```

--------------------------------------------------Mbpp/727--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove all characters except letters and numbers using regex
>>> Test Cases:
assert remove_char("123abcjw:, .@! eiw") == '123abcjweiw'
assert remove_char("Hello1234:, ! Howare33u") == 'Hello1234Howare33u'
assert remove_char("Cool543Triks@:, Make@987Trips") == 'Cool543TriksMake987Trips' 

### Response:
Here is the Python function using regex to remove all characters except letters and numbers:

```python
import re

def remove_char(s):
    return re.sub(r'[^a-zA-Z0-9]', '', s)
```

--------------------------------------------------Mbpp/729--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to add two lists using map and lambda function.
>>> Test Cases:
assert add_list([1, 2, 3],[4,5,6])==[5, 7, 9]
assert add_list([1,2],[3,4])==[4,6]
assert add_list([10,20],[50,70])==[60,90]

### Response:
Here is the Python function using map and lambda function to add two lists:

```python
def add_list(list1, list2):
    return list(map(lambda x, y: x + y, list1, list2))
```

--------------------------------------------------Mbpp/731--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the lateral surface area of a cone.
>>> Test Cases:
assert lateralsurface_cone(5,12)==204.20352248333654
assert lateralsurface_cone(10,15)==566.3586699569488
assert lateralsurface_cone(19,17)==1521.8090132193388

### Response:
The lateral surface area of a cone is given by the formula:

πrl

where r is the radius of the base of the cone and l is the slant height.

Here is the Python function for your problem:

```python
import math

def lateralsurface_cone(r, l):
    return math.pi * r * l
```

--------------------------------------------------Mbpp/732--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to replace all occurrences of spaces, commas, or dots with a colon.
>>> Test Cases:
assert replace_specialchar('Python language, Programming language.')==('Python:language::Programming:language:')
assert replace_specialchar('a b c,d e f')==('a:b:c:d:e:f')
assert replace_specialchar('ram reshma,ram rahim')==('ram:reshma:ram:rahim')

### Response:
Here is the Python function to replace all occurrences of spaces, commas, or dots with a colon:

```python
def replace_specialchar(s):
    return s.replace(' ', ':').replace(',', ':').replace('.', ':')
```

--------------------------------------------------Mbpp/733--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the index of the first occurrence of a given number in a sorted array.
>>> Test Cases:
assert find_first_occurrence([2, 5, 5, 5, 6, 6, 8, 9, 9, 9], 5) == 1
assert find_first_occurrence([2, 3, 5, 5, 6, 6, 8, 9, 9, 9], 5) == 2
assert find_first_occurrence([2, 4, 1, 5, 6, 6, 8, 9, 9, 9], 6) == 4

### Response:
Here is the Python function to find the index of the first occurrence of a given number in a sorted array:

```python
def find_first_occurrence(arr, num):
    try:
        return arr.index(num)
    except ValueError:
        return -1
```

--------------------------------------------------Mbpp/734--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find sum of products of all possible subarrays.
>>> Test Cases:
assert sum_Of_Subarray_Prod([1,2,3],3) == 20
assert sum_Of_Subarray_Prod([1,2],2) == 5
assert sum_Of_Subarray_Prod([1,2,3,4],4) == 84

### Response:
Here is the Python function to find sum of products of all possible subarrays:

```python
def sum_Of_Subarray_Prod(arr,n):
    prod = [0]*n
    sum_of_prod = 0
    for i in range(n):
        for j in range(i, n):
            if i == j:
                prod[j] = arr[i]
            else:
                prod[j] = prod[j-1]*arr[j]
            sum_of_prod += prod[j]
    return sum_of_prod
```

--------------------------------------------------Mbpp/735--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to toggle bits of the number except the first and the last bit.
>>> Test Cases:
assert toggle_middle_bits(9) == 15
assert toggle_middle_bits(10) == 12
assert toggle_middle_bits(11) == 13

### Response:
Here is the Python function to toggle bits of the number except the first and the last bit:

```python
def toggle_middle_bits(n):
    binary = bin(n)[2:]  # Convert to binary and remove '0b' prefix
    binary = '1' + binary[1:-1] + '1'  # Toggle middle bits
    return int(binary, 2)  # Convert back to decimal
```

--------------------------------------------------Mbpp/736--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to locate the left insertion point for a specified value in sorted order.
>>> Test Cases:
assert left_insertion([1,2,4,5],6)==4
assert left_insertion([1,2,4,5],3)==2
assert left_insertion([1,2,4,5],7)==4

### Response:
Here is the Python function `left_insertion` that locates the left insertion point for a specified value in sorted order:

```python
def left_insertion(arr, target):
    left, right = 0, len(arr)
    while left < right:
        mid = (left + right) // 2
        if arr[mid] < target:
            left = mid + 1
        else:
            right = mid
    return left
```

--------------------------------------------------Mbpp/737--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check whether the given string is starting with a vowel or not using regex.
>>> Test Cases:
assert check_str("annie") == 'Valid'
assert check_str("dawood") == 'Invalid'
assert check_str("Else") == 'Valid'

### Response:
Here is the Python function using regex to check whether the given string is starting with a vowel or not:

```python
import re

def check_str(s):
    if re.match(r'^[aeiouAEIOU]', s):
        return 'Valid'
    else:
        return 'Invalid'
```

--------------------------------------------------Mbpp/738--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the geometric sum of n-1.
>>> Test Cases:
assert geometric_sum(7) == 1.9921875
assert geometric_sum(4) == 1.9375
assert geometric_sum(8) == 1.99609375

### Response:
Here is the Python function to calculate the geometric sum of n-1:

```python
def geometric_sum(n):
    return round(sum(1/i for i in range(1, n)),7)
```

--------------------------------------------------Mbpp/740--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert the given tuple to a key-value dictionary using adjacent elements.
>>> Test Cases:
assert tuple_to_dict((1, 5, 7, 10, 13, 5)) == {1: 5, 7: 10, 13: 5}
assert tuple_to_dict((1, 2, 3, 4, 5, 6)) == {1: 2, 3: 4, 5: 6}
assert tuple_to_dict((7, 8, 9, 10, 11, 12)) == {7: 8, 9: 10, 11: 12}

### Response:
Here is the Python function to convert the given tuple to a key-value dictionary using adjacent elements:

```python
def tuple_to_dict(test_tup):
    return {test_tup[n]: test_tup[n + 1] for n in range(0, len(test_tup), 2)}
```

--------------------------------------------------Mbpp/741--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether all the characters are same or not.
>>> Test Cases:
assert all_Characters_Same("python") == False
assert all_Characters_Same("aaa") == True
assert all_Characters_Same("data") == False

### Response:
Here is the Python function to check whether all the characters are same or not:

```python
def all_Characters_Same(s):
    return len(set(s)) == 1
```

--------------------------------------------------Mbpp/742--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to caluclate the area of a tetrahedron.
>>> Test Cases:
assert area_tetrahedron(3)==15.588457268119894
assert area_tetrahedron(20)==692.8203230275509
assert area_tetrahedron(10)==173.20508075688772

### Response:
The formula to calculate the area of a tetrahedron is:

Area = �3 * side^2

Here is the Python function:

```python
import math

def area_tetrahedron(side):
    return math.sqrt(3) * side ** 2
```

--------------------------------------------------Mbpp/743--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to rotate a given list by specified number of items to the right direction.
>>> Test Cases:
assert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],3,4)==[8, 9, 10, 1, 2, 3, 4, 5, 6]
assert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],2,2)==[9, 10, 1, 2, 3, 4, 5, 6, 7, 8]
assert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],5,2)==[6, 7, 8, 9, 10, 1, 2, 3, 4, 5, 6, 7, 8]

### Response:
Here is the Python function to rotate a given list by specified number of items to the right direction:

```python
def rotate_right(lst, n, k):
    return lst[-n+k:] + lst[:-n+k]
```

--------------------------------------------------Mbpp/744--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if the given tuple has any none value or not.
>>> Test Cases:
assert check_none((10, 4, 5, 6, None)) == True
assert check_none((7, 8, 9, 11, 14)) == False
assert check_none((1, 2, 3, 4, None)) == True

### Response:
Here is the Python function to check if the given tuple has any none value or not:

```python
def check_none(test_tup):
    return any(el is None for el in test_tup)
```

--------------------------------------------------Mbpp/745--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find numbers within a given range where every number is divisible by every digit it contains.
>>> Test Cases:
assert divisible_by_digits(1,22)==[1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 15, 22]
assert divisible_by_digits(1,15)==[1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 15]
assert divisible_by_digits(20,25)==[22, 24]

### Response:
Here is the Python function `divisible_by_digits` that solves your problem:

```python
def divisible_by_digits(start, end):
    result = []
    for num in range(start, end + 1):
        if all(num % int(digit) == 0 for digit in str(num) if digit != '0'):
            result.append(num)
    return result
```

--------------------------------------------------Mbpp/746--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find area of a sector.
>>> Test Cases:
assert sector_area(4,45)==6.285714285714286
assert sector_area(9,45)==31.82142857142857
assert sector_area(9,360)==None

### Response:
Here is the Python function to calculate the area of a sector:

```python
import math

def sector_area(radius, angle):
    if angle == 360:
        return None
    else:
        return 0.5 * radius ** 2 * math.radians(angle)
```

--------------------------------------------------Mbpp/747--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the longest common subsequence for the given three string sequence.
>>> Test Cases:
assert lcs_of_three('AGGT12', '12TXAYB', '12XBA', 6, 7, 5) == 2
assert lcs_of_three('Reels', 'Reelsfor', 'ReelsforReels', 5, 8, 13) == 5 
assert lcs_of_three('abcd1e2', 'bc12ea', 'bd1ea', 7, 6, 5) == 3

### Response:
Here is a Python function using dynamic programming to find the longest common subsequence for the given three string sequence:

```python
def lcs_of_three(X, Y, Z, m, n, p):
    L = [[[0 for k in range(p+1)] for j in range(n+1)] for i in range(m+1)]

    for i in range(m+1):
        for j in range(n+1):
            for k in range(p+1):
                if (i == 0 or j == 0 or k == 0):
                    L[i][j][k] = 0
                elif (X[i-1] == Y[j-1] and X[i-1] == Z[k-1]):
                    L[i][j][k] = L[i-1][j-1][k-1] + 1
                else:
                    L[i][j][k] = max(max(L[i-1][j][k], L[i][j-1][k]), L[i][j][k-1])

    return L[m][n][p]
```

--------------------------------------------------Mbpp/749--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to sort a given list of strings of numbers numerically.
>>> Test Cases:
assert sort_numeric_strings( ['4','12','45','7','0','100','200','-12','-500'])==[-500, -12, 0, 4, 7, 12, 45, 100, 200]
assert sort_numeric_strings(['2','3','8','4','7','9','8','2','6','5','1','6','1','2','3','4','6','9','1','2'])==[1, 1, 1, 2, 2, 2, 2, 3, 3, 4, 4, 5, 6, 6, 6, 7, 8, 8, 9, 9]
assert sort_numeric_strings(['1','3','5','7','1', '3','13', '15', '17','5', '7 ','9','1', '11'])==[1, 1, 1, 3, 3, 5, 5, 7, 7, 9, 11, 13, 15, 17]

### Response:
Here is the Python function to sort a given list of strings of numbers numerically:

```python
def sort_numeric_strings(nums):
    return sorted(map(int, nums))
```

--------------------------------------------------Mbpp/750--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to add the given tuple to the given list.
>>> Test Cases:
assert add_tuple([5, 6, 7], (9, 10)) == [5, 6, 7, 9, 10]
assert add_tuple([6, 7, 8], (10, 11)) == [6, 7, 8, 10, 11]
assert add_tuple([7, 8, 9], (11, 12)) == [7, 8, 9, 11, 12]

### Response:
Here is the Python function to add the given tuple to the given list:

```python
def add_tuple(lst, tup):
    lst.extend(tup)
    return lst
```

--------------------------------------------------Mbpp/751--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if the given array represents min heap or not.
>>> Test Cases:
assert check_min_heap([1, 2, 3, 4, 5, 6], 0) == True
assert check_min_heap([2, 3, 4, 5, 10, 15], 0) == True
assert check_min_heap([2, 10, 4, 5, 3, 15], 0) == False

### Response:
Here is the Python function to check if the given array represents min heap or not:

```python
def check_min_heap(heap, index):
    left = 2 * index + 1
    right = 2 * index + 2
    if left < len(heap) and heap[left] < heap[index]:
        return False
    if right < len(heap) and heap[right] < heap[index]:
        return False
    if left < len(heap) and not check_min_heap(heap, left):
        return False
    if right < len(heap) and not check_min_heap(heap, right):
        return False
    return True
```

--------------------------------------------------Mbpp/752--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the nth jacobsthal number.
>>> Test Cases:
assert jacobsthal_num(5) == 11
assert jacobsthal_num(2) == 1
assert jacobsthal_num(4) == 5

### Response:
The Jacobsthal number sequence is defined as follows:

J(0) = 0, J(1) = 1, J(n) = 2*J(n-1) + J(n-2) for n > 1.

Here is the Python function to calculate the nth Jacobsthal number:

```python
def jacobsthal_num(n):
    if n == 0:
        return 0
    elif n == 1:
        return 1
    else:
        j = [0, 1]
        for i in range(2, n+1):
            j.append(2*j[i-1] + j[i-2])
        return j[n]
```

--------------------------------------------------Mbpp/753--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find minimum k records from tuple list.
>>> Test Cases:
assert min_k([('Manjeet', 10), ('Akshat', 4), ('Akash', 2), ('Nikhil', 8)], 2) == [('Akash', 2), ('Akshat', 4)]
assert min_k([('Sanjeev', 11), ('Angat', 5), ('Akash', 3), ('Nepin', 9)], 3) == [('Akash', 3), ('Angat', 5), ('Nepin', 9)]
assert min_k([('tanmay', 14), ('Amer', 11), ('Ayesha', 9), ('SKD', 16)], 1) == [('Ayesha', 9)]

### Response:
Here is the Python function to solve your problem:

```python
import heapq

def min_k(records, k):
    return heapq.nsmallest(k, records, key=lambda x: x[1])
```

--------------------------------------------------Mbpp/754--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find common index elements from three lists.
>>> Test Cases:
assert extract_index_list([1, 1, 3, 4, 5, 6, 7],[0, 1, 2, 3, 4, 5, 7],[0, 1, 2, 3, 4, 5, 7])==[1, 7]
assert extract_index_list([1, 1, 3, 4, 5, 6, 7],[0, 1, 2, 3, 4, 6, 5],[0, 1, 2, 3, 4, 6, 7])==[1, 6]
assert extract_index_list([1, 1, 3, 4, 6, 5, 6],[0, 1, 2, 3, 4, 5, 7],[0, 1, 2, 3, 4, 5, 7])==[1, 5]

### Response:
Here is the Python function to find common index elements from three lists:

```python
def extract_index_list(list1, list2, list3):
    common_indices = []
    for i in range(len(list1)):
        if list1[i] == list2[i] == list3[i]:
            common_indices.append(list1[i])
    return common_indices
```

--------------------------------------------------Mbpp/755--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the second smallest number in a list.
>>> Test Cases:
assert second_smallest([1, 2, -8, -2, 0, -2])==-2
assert second_smallest([1, 1, -0.5, 0, 2, -2, -2])==-0.5
assert second_smallest([2,2])==None

### Response:
Here is the Python function to find the second smallest number in a list:

```python
def second_smallest(numbers):
    if len(numbers) < 2:
        return None
    first_min = second_min = float('inf')
    for n in numbers:
        if n <= first_min:
            first_min = n
        elif n < second_min:
            second_min = n
    if second_min == float('inf'):
        return None
    return second_min
```

--------------------------------------------------Mbpp/756--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function that matches a string that has an a followed by zero or one 'b'.
>>> Test Cases:
assert text_match_zero_one("ac")==('Found a match!')
assert text_match_zero_one("dc")==('Not matched!')
assert text_match_zero_one("abbbba")==('Found a match!')

### Response:
Here is the Python function that matches a string that has an 'a' followed by zero or one 'b':

```python
import re

def text_match_zero_one(text):
    pattern = 'ab?'
    if re.search(pattern, text):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------Mbpp/758--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to count number of unique lists within a list.
>>> Test Cases:
assert unique_sublists([[1, 3], [5, 7], [1, 3], [13, 15, 17], [5, 7], [9, 11]] )=={(1, 3): 2, (5, 7): 2, (13, 15, 17): 1, (9, 11): 1}
assert unique_sublists([['green', 'orange'], ['black'], ['green', 'orange'], ['white']])=={('green', 'orange'): 2, ('black',): 1, ('white',): 1}
assert unique_sublists([[10, 20, 30, 40], [60, 70, 50, 50], [90, 100, 200]])=={(10, 20, 30, 40): 1, (60, 70, 50, 50): 1, (90, 100, 200): 1}

### Response:
Here is the Python function to count number of unique lists within a list:

```python
def unique_sublists(lst):
    freq = {}
    for sublist in lst:
        sublist = tuple(sublist)
        if sublist in freq:
            freq[sublist] += 1
        else:
            freq[sublist] = 1
    return freq
```

--------------------------------------------------Mbpp/759--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check a decimal with a precision of 2.
>>> Test Cases:
assert is_decimal('123.11')==True
assert is_decimal('e666.86')==False
assert is_decimal('3.124587')==False

### Response:
Here is the Python function to check a decimal with a precision of 2:

```python
def is_decimal(s):
    try:
        num = float(s)
        if s.count('.') == 1:
            return True
        else:
            return False
    except ValueError:
        return False
```

--------------------------------------------------Mbpp/760--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether an array contains only one distinct element or not.
>>> Test Cases:
assert unique_Element([1,1,1],3) == 'YES'
assert unique_Element([1,2,1,2],4) == 'NO'
assert unique_Element([1,2,3,4,5],5) == 'NO'

### Response:
Here is the Python function to check whether an array contains only one distinct element or not:

```python
def unique_Element(arr, n):
    if len(set(arr)) == 1:
        return 'YES'
    else:
        return 'NO'
```

--------------------------------------------------Mbpp/761--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to caluclate arc length of an angle.
>>> Test Cases:
assert arc_length(9,45)==3.5357142857142856
assert arc_length(9,480)==None
assert arc_length(5,270)==11.785714285714285

### Response:
The arc length of an angle can be calculated using the formula:

arc length = (degrees * pi) / 180

Here is the Python function for your problem:

```python
import math

def arc_length(radius, degrees):
    if degrees >= 360:
        return None
    else:
        return (degrees * math.pi * radius) / 180
```

--------------------------------------------------Mbpp/763--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the minimum difference between any two elements in a given array.
>>> Test Cases:
assert find_Min_Diff((1,5,3,19,18,25),6) == 1
assert find_Min_Diff((4,3,2,6),4) == 1
assert find_Min_Diff((30,5,20,9),4) == 4

### Response:
Here is the Python function to find the minimum difference between any two elements in a given array:

```python
def find_Min_Diff(arr, n):
    arr.sort()
    min_diff = float('inf')
    for i in range(1, n):
        diff = arr[i] - arr[i - 1]
        min_diff = min(min_diff, diff)
    return min_diff
```

--------------------------------------------------Mbpp/764--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count numeric values in a given string.
>>> Test Cases:
assert number_ctr('program2bedone') == 1
assert number_ctr('3wonders') ==1
assert number_ctr('123') == 3

### Response:
Here is the Python function to count numeric values in a given string:

```python
def number_ctr(s):
    return sum(c.isdigit() for c in s)
```

--------------------------------------------------Mbpp/765--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find nth polite number.
>>> Test Cases:
assert is_polite(7) == 11
assert is_polite(4) == 7
assert is_polite(9) == 13

### Response:
A polite number is a positive integer that can be expressed as the sum of two or more consecutive positive integers.

Here is the Python function to find nth polite number:

```python
def is_polite(n):
    return n + 2
```

--------------------------------------------------Mbpp/766--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to iterate over all pairs of consecutive items in a given list.
>>> Test Cases:
assert pair_wise([1,1,2,3,3,4,4,5])==[(1, 1), (1, 2), (2, 3), (3, 3), (3, 4), (4, 4), (4, 5)]
assert pair_wise([1,5,7,9,10])==[(1, 5), (5, 7), (7, 9), (9, 10)]
assert pair_wise([1,2,3,4,5,6,7,8,9,10])==[(1, 2), (2, 3), (3, 4), (4, 5), (5, 6), (6, 7), (7, 8), (8, 9), (9, 10)]

### Response:
Here is the Python function to iterate over all pairs of consecutive items in a given list:

```python
def pair_wise(lst):
    return [(lst[i], lst[i + 1]) for i in range(len(lst) - 1)]
```

--------------------------------------------------Mbpp/767--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the number of pairs whose sum is equal to ‘sum’.
>>> Test Cases:
assert get_Pairs_Count([1,1,1,1],4,2) == 6
assert get_Pairs_Count([1,5,7,-1,5],5,6) == 3
assert get_Pairs_Count([1,-2,3],3,1) == 1

### Response:
Here is the Python function to count the number of pairs whose sum is equal to 'sum'.

```python
def get_Pairs_Count(arr,n,sum):
    hashmap = {}
    for i in range(0, n):
        hashmap[arr[i]] = hashmap.get(arr[i], 0) + 1
 
    twice_count = 0
 
    for i in range(0, n):
        twice_count += hashmap.get(sum - arr[i], 0)
 
        if (sum - arr[i] == arr[i]):
            twice_count -= 1
 
    return int(twice_count / 2)
```

--------------------------------------------------Mbpp/768--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check for odd parity of a given number.
>>> Test Cases:
assert check_Odd_Parity(13) == True
assert check_Odd_Parity(21) == True
assert check_Odd_Parity(18) == False

### Response:
Here is the Python function to check for odd parity of a given number:

```python
def check_Odd_Parity(n):
    binary_n = bin(n)[2:]  # Convert to binary and remove the '0b' prefix
    return binary_n.count('1') % 2 == 1
```

--------------------------------------------------Mbpp/770--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of fourth power of first n odd natural numbers.
>>> Test Cases:
assert odd_Num_Sum(2) == 82
assert odd_Num_Sum(3) == 707
assert odd_Num_Sum(4) == 3108

### Response:
Here is the Python function to find the sum of fourth power of first n odd natural numbers:

```python
def odd_Num_Sum(n):
    sum = 0
    for i in range(1, 2*n, 2):
        sum += i**4
    return sum
```

--------------------------------------------------Mbpp/771--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if the given expression is balanced or not.
>>> Test Cases:
assert check_expression("{()}[{}]") == True
assert check_expression("{()}[{]") == False
assert check_expression("{()}[{}][]({})") == True

### Response:
Here is the Python function to check if the given expression is balanced or not:

```python
def check_expression(expr):
    stack = []
    open_t = ["[","{","("] 
    close_t = ["]","}",")"] 

    for i in expr:
        if i in open_t:
            stack.append(i)
        elif i in close_t:
            pos = close_t.index(i)
            if ((len(stack) > 0) and (open_t[pos] == stack[len(stack)-1])):
                stack.pop()
            else:
                return False
    if len(stack) == 0:
        return True
    else:
        return False
```

--------------------------------------------------Mbpp/772--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove all the words with k length in the given string.
>>> Test Cases:
assert remove_length('The person is most value tet', 3) == 'person is most value'
assert remove_length('If you told me about this ok', 4) == 'If you me about ok'
assert remove_length('Forces of darkeness is come into the play', 4) == 'Forces of darkeness is the'

### Response:
Here is the Python function to remove all the words with k length in the given string:

```python
def remove_length(s, k):
    words = s.split()
    words = [word for word in words if len(word) != k]
    return ' '.join(words)
```

--------------------------------------------------Mbpp/773--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the occurrence and position of the substrings within a string.
>>> Test Cases:
assert occurance_substring('python programming, python language','python')==('python', 0, 6)
assert occurance_substring('python programming,programming language','programming')==('programming', 7, 18)
assert occurance_substring('python programming,programming language','language')==('language', 31, 39)

### Response:
Here is the Python function to find the occurrence and position of the substrings within a string:

```python
def occurance_substring(s, sub):
    pos = s.find(sub)
    if pos != -1:
        return (sub, pos, pos+len(sub))
    else:
        return "Substring not found"
```

--------------------------------------------------Mbpp/774--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if the string is a valid email address or not using regex.
>>> Test Cases:
assert check_email("ankitrai326@gmail.com") == 'Valid Email'
assert check_email("my.ownsite@ourearth.org") == 'Valid Email'
assert check_email("ankitaoie326.com") == 'Invalid Email'

### Response:
Here is the Python function using regex to check if the string is a valid email address or not:

```python
import re

def check_email(email):
    regex = r'^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$'
    if(re.search(regex,email)):
        return 'Valid Email'
    else:
        return 'Invalid Email'
```

--------------------------------------------------Mbpp/776--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to count those characters which have vowels as their neighbors in the given string.
>>> Test Cases:
assert count_vowels('bestinstareels') == 7
assert count_vowels('partofthejourneyistheend') == 12
assert count_vowels('amazonprime') == 5

### Response:
Here is the Python function to count those characters which have vowels as their neighbors in the given string:

```python
def count_vowels(s):
    vowels = 'aeiou'
    count = 0
    for i in range(1, len(s) - 1):
        if s[i - 1] in vowels and s[i + 1] in vowels:
            count += 1
    return count
```

--------------------------------------------------Mbpp/778--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to pack consecutive duplicates of a given list elements into sublists.
>>> Test Cases:
assert pack_consecutive_duplicates([0, 0, 1, 2, 3, 4, 4, 5, 6, 6, 6, 7, 8, 9, 4, 4])==[[0, 0], [1], [2], [3], [4, 4], [5], [6, 6, 6], [7], [8], [9], [4, 4]]
assert pack_consecutive_duplicates([10, 10, 15, 19, 18, 18, 17, 26, 26, 17, 18, 10])==[[10, 10], [15], [19], [18, 18], [17], [26, 26], [17], [18], [10]]
assert pack_consecutive_duplicates(['a', 'a', 'b', 'c', 'd', 'd'])==[['a', 'a'], ['b'], ['c'], ['d', 'd']]

### Response:
Here is a Python function that packs consecutive duplicates of a given list elements into sublists:

```python
def pack_consecutive_duplicates(lst):
    result = []
    i = 0
    while i < len(lst):
        start = i
        while i < len(lst) - 1 and lst[i] == lst[i + 1]:
            i += 1
        result.append(lst[start:i+1])
        i += 1
    return result
```

--------------------------------------------------Mbpp/779--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to count the number of unique lists within a list.
>>> Test Cases:
assert unique_sublists([[1, 3], [5, 7], [1, 3], [13, 15, 17], [5, 7], [9, 11]])=={(1, 3): 2, (5, 7): 2, (13, 15, 17): 1, (9, 11): 1}
assert unique_sublists([['green', 'orange'], ['black'], ['green', 'orange'], ['white']])=={('green', 'orange'): 2, ('black',): 1, ('white',): 1}
assert unique_sublists([[1, 2], [3, 4], [4, 5], [6, 7]])=={(1, 2): 1, (3, 4): 1, (4, 5): 1, (6, 7): 1}

### Response:
Here is the Python function to count the number of unique lists within a list:

```python
def unique_sublists(lst):
    freq = {}
    for sublist in lst:
        sublist = tuple(sublist)
        if sublist in freq:
            freq[sublist] += 1
        else:
            freq[sublist] = 1
    return freq
```

--------------------------------------------------Mbpp/781--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the count of divisors is even or odd.
>>> Test Cases:
assert count_Divisors(10) == "Even"
assert count_Divisors(100) == "Odd"
assert count_Divisors(125) == "Even"

### Response:
Here is the Python function to check whether the count of divisors is even or odd:

```python
def count_Divisors(n):
    count = 0
    for i in range(1, (int)(n**0.5) + 1):
        if n % i == 0:
            if n / i == i:
                count = count + 1
            else:
                count = count + 2
    if count % 2 == 0:
        return "Even"
    else:
        return "Odd"
```

--------------------------------------------------Mbpp/782--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of all odd length subarrays.
>>> Test Cases:
assert Odd_Length_Sum([1,2,4]) == 14
assert Odd_Length_Sum([1,2,1,2]) == 15
assert Odd_Length_Sum([1,7]) == 8

### Response:
Here is the Python function to find the sum of all odd length subarrays:

```python
def Odd_Length_Sum(arr):
    n = len(arr)
    sum = 0
    for i in range(n):
        sum += ((i+1)*(n-i)+1)//2 * arr[i]
    return sum
```

--------------------------------------------------Mbpp/783--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert rgb color to hsv color.
>>> Test Cases:
assert rgb_to_hsv(255, 255, 255)==(0, 0.0, 100.0)
assert rgb_to_hsv(0, 215, 0)==(120.0, 100.0, 84.31372549019608)
assert rgb_to_hsv(10, 215, 110)==(149.26829268292684, 95.34883720930233, 84.31372549019608)

### Response:
Here is the Python function to convert RGB color to HSV color:

```python
def rgb_to_hsv(r, g, b):
    r, g, b = r / 255.0, g / 255.0, b / 255.0
    mx = max(r, g, b)
    mn = min(r, g, b)
    df = mx-mn

    if mx == mn:
        h = 0
    elif mx == r:
        h = (60 * ((g-b)/df) + 360) % 360
    elif mx == g:
        h = (60 * ((b-r)/df) + 120) % 360
    else:
        h = (60 * ((r-g)/df) + 240) % 360

    if mx == 0:
        s = 0
    else:
        s = (df/mx)*100

    v = mx * 100

    return h, s, v
```

--------------------------------------------------Mbpp/784--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the product of first even and odd number of a given list.
>>> Test Cases:
assert mul_even_odd([1,3,5,7,4,1,6,8])==4
assert mul_even_odd([1,2,3,4,5,6,7,8,9,10])==2
assert mul_even_odd([1,5,7,9,10])==10

### Response:
Here is the Python function to solve your problem:

```python
def mul_even_odd(lst):
    even = next((x for x in lst if x % 2 == 0), None)
    odd = next((x for x in lst if x % 2 != 0), None)
    return even * odd if even and odd else None
```

--------------------------------------------------Mbpp/785--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to convert tuple string to integer tuple.
>>> Test Cases:
assert tuple_str_int("(7, 8, 9)") == (7, 8, 9)
assert tuple_str_int("(1, 2, 3)") == (1, 2, 3)
assert tuple_str_int("(4, 5, 6)") == (4, 5, 6)

### Response:
Here is the Python function to convert tuple string to integer tuple:

```python
def tuple_str_int(s):
    return eval(s)
```

--------------------------------------------------Mbpp/786--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to locate the right insertion point for a specified value in sorted order.
>>> Test Cases:
assert right_insertion([1,2,4,5],6)==4
assert right_insertion([1,2,4,5],3)==2
assert right_insertion([1,2,4,5],7)==4

### Response:
Here is the Python function `right_insertion` that locates the right insertion point for a specified value in sorted order:

```python
def right_insertion(arr, target):
    left, right = 0, len(arr)
    while left < right:
        mid = (left + right) // 2
        if arr[mid] < target:
            left = mid + 1
        else:
            right = mid
    return left
```

--------------------------------------------------Mbpp/787--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function that matches a string that has an a followed by three 'b'.
>>> Test Cases:
assert text_match_three("ac")==('Not matched!')
assert text_match_three("dc")==('Not matched!')
assert text_match_three("abbbba")==('Found a match!')

### Response:
Here is the Python function that matches a string that has an 'a' followed by three 'b':

```python
import re

def text_match_three(text):
    pattern = 'abbbb'
    if re.search(pattern, text):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------Mbpp/788--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to create a new tuple from the given string and list.
>>> Test Cases:
assert new_tuple(["WEB", "is"], "best") == ('WEB', 'is', 'best')
assert new_tuple(["We", "are"], "Developers") == ('We', 'are', 'Developers')
assert new_tuple(["Part", "is"], "Wrong") == ('Part', 'is', 'Wrong')

### Response:
Here is the Python function to create a new tuple from the given string and list:

```python
def new_tuple(list_elements, string_element):
    new_list = list_elements + (string_element,)
    return tuple(new_list)
```

--------------------------------------------------Mbpp/789--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to calculate the perimeter of a regular polygon.
>>> Test Cases:
assert perimeter_polygon(4,20)==80
assert perimeter_polygon(10,15)==150
assert perimeter_polygon(9,7)==63

### Response:
Here is the Python function to calculate the perimeter of a regular polygon:

```python
def perimeter_polygon(n, s):
    # n is the number of sides
    # s is the length of a side
    perimeter = n * s
    return perimeter
```

--------------------------------------------------Mbpp/791--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove the nested record from the given tuple.
>>> Test Cases:
assert remove_nested((1, 5, 7, (4, 6), 10)) == (1, 5, 7, 10)
assert remove_nested((2, 6, 8, (5, 7), 11)) == (2, 6, 8, 11)
assert remove_nested((3, 7, 9, (6, 8), 12)) == (3, 7, 9, 12)

### Response:
Here is the Python function to remove the nested record from the given tuple:

```python
def remove_nested(tup):
    result = []
    for item in tup:
        if not isinstance(item, tuple):
            result.append(item)
    return tuple(result)
```

--------------------------------------------------Mbpp/792--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the number of lists in a given number of lists.
>>> Test Cases:
assert count_list([[1, 3], [5, 7], [9, 11], [13, 15, 17]]) == 4
assert count_list([[1,2],[2,3],[4,5]]) == 3
assert count_list([[1,0],[2,0]]) == 2

### Response:
Here is the Python function to count the number of lists in a given number of lists:

```python
def count_list(lst):
    return len(lst)
```

--------------------------------------------------Mbpp/793--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the last position of an element in a sorted array.
>>> Test Cases:
assert last([1,2,3],1,3) == 0
assert last([1,1,1,2,3,4],1,6) == 2
assert last([2,3,2,3,6,8,9],3,8) == 3

### Response:
Here is the Python function to find the last position of an element in a sorted array:

```python
def last(arr, start, end, x):
    for i in range(start, end-1, -1):
        if arr[i] == x:
            return i
    return -1
```

--------------------------------------------------Mbpp/794--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function that matches a string that has an 'a' followed by anything, ending in 'b'.
>>> Test Cases:
assert text_starta_endb("aabbbb")==('Found a match!')
assert text_starta_endb("aabAbbbc")==('Not matched!')
assert text_starta_endb("accddbbjjj")==('Not matched!')

### Response:
Here is the Python function that matches a string that has an 'a' followed by anything, ending in 'b':

```python
def text_starta_endb(text):
    if text.startswith('a') and text.endswith('b'):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------Mbpp/795--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the n - cheap price items from a given dataset using heap queue algorithm.
>>> Test Cases:
assert cheap_items([{'name': 'Item-1', 'price': 101.1},{'name': 'Item-2', 'price': 555.22}],1)==[{'name': 'Item-1', 'price': 101.1}]
assert cheap_items([{'name': 'Item-1', 'price': 101.1},{'name': 'Item-2', 'price': 555.22}],2)==[{'name': 'Item-1', 'price': 101.1},{'name': 'Item-2', 'price': 555.22}]
assert cheap_items([{'name': 'Item-1', 'price': 101.1},{'name': 'Item-2', 'price': 555.22}, {'name': 'Item-3', 'price': 45.09},{'name': 'Item-4', 'price': 22.75}],1)==[{'name': 'Item-4', 'price': 22.75}]

### Response:
Here is the Python function using heap queue algorithm to find the n cheap price items from a given dataset:

```python
import heapq

def cheap_items(items, n):
    # Create a max heap using the price as the key
    max_heap = [(-item['price'], item) for item in items[:n]]
    heapq.heapify(max_heap)

    # Add the remaining items to the heap
    for item in items[n:]:
        heapq.heappush(max_heap, (-item['price'], item))

    # Get the n cheapest items
    cheap_items = []
    for _ in range(n):
        _, item = heapq.heappop(max_heap)
        cheap_items.append(item)

    return cheap_items
```

--------------------------------------------------Mbpp/797--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of all odd natural numbers within the range l and r.
>>> Test Cases:
assert sum_in_Range(2,5) == 8
assert sum_in_Range(5,7) == 12
assert sum_in_Range(7,13) == 40

### Response:
Here is the Python function to find the sum of all odd natural numbers within the range l and r:

```python
def sum_in_Range(l, r):
    return sum(i for i in range(l, r+1) if i % 2 != 0)
```

--------------------------------------------------Mbpp/798--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the sum of an array.
>>> Test Cases:
assert _sum([1, 2, 3]) == 6
assert _sum([15, 12, 13, 10]) == 50
assert _sum([0, 1, 2]) == 3

### Response:
Here is the python function to find the sum of an array:

```python
def _sum(arr):
    return sum(arr)
```

--------------------------------------------------Mbpp/799--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to left rotate the bits of a given number.
>>> Test Cases:
assert left_Rotate(16,2) == 64
assert left_Rotate(10,2) == 40
assert left_Rotate(99,3) == 792

### Response:
Here is the Python function to left rotate the bits of a given number:

```python
def left_Rotate(n, d):
    return (n << d)|(n >> (32 - d))
```

--------------------------------------------------Mbpp/800--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to remove all whitespaces from a string.
>>> Test Cases:
assert remove_all_spaces('python  program')==('pythonprogram')
assert remove_all_spaces('python   programming    language')==('pythonprogramminglanguage')
assert remove_all_spaces('python                     program')==('pythonprogram')

### Response:
Here is the Python function to remove all whitespaces from a string:

```python
def remove_all_spaces(input_string):
    return input_string.replace(" ", "")
```

--------------------------------------------------Mbpp/801--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the number of equal numbers from three given integers.
>>> Test Cases:
assert test_three_equal(1,1,1) == 3
assert test_three_equal(-1,-2,-3) == 0
assert test_three_equal(1,2,2) == 2

### Response:
Here is the Python function to count the number of equal numbers from three given integers:

```python
def test_three_equal(a, b, c):
    if a == b == c:
        return 3
    elif a == b or b == c or a == c:
        return 2
    else:
        return 0
```

--------------------------------------------------Mbpp/802--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to count the number of rotations required to generate a sorted array.
>>> Test Cases:
assert count_Rotation([3,2,1],3) == 1
assert count_Rotation([4,5,1,2,3],5) == 2
assert count_Rotation([7,8,9,1,2,3],6) == 3

### Response:
Here is the Python function to count the number of rotations required to generate a sorted array:

```python
def count_Rotation(arr, n):
    min_index = 0
    for i in range(n):
        if arr[i] < arr[min_index]:
            min_index = i
    return min_index
```

--------------------------------------------------Mbpp/804--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to check whether the product of numbers is even or not.
>>> Test Cases:
assert is_Product_Even([1,2,3],3) == True
assert is_Product_Even([1,2,1,4],4) == True
assert is_Product_Even([1,1],2) == False

### Response:
Here is the Python function to check whether the product of numbers is even or not:

```python
def is_Product_Even(nums,n):
    product = 1
    for i in range(n):
        product *= nums[i]
    return product % 2 == 0
```

--------------------------------------------------Mbpp/805--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find the list in a list of lists whose sum of elements is the highest.
>>> Test Cases:
assert max_sum_list([[1,2,3], [4,5,6], [10,11,12], [7,8,9]])==[10, 11, 12] 
assert max_sum_list([[3,2,1], [6,5,4], [12,11,10]])==[12,11,10] 
assert max_sum_list([[2,3,1]])==[2,3,1] 

### Response:
Here is the Python function to solve your problem:

```python
def max_sum_list(lst):
    return max(lst, key=sum)
```

--------------------------------------------------Mbpp/806--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to find maximum run of uppercase characters in the given string.
>>> Test Cases:
assert max_run_uppercase('GeMKSForGERksISBESt') == 5
assert max_run_uppercase('PrECIOusMOVemENTSYT') == 6
assert max_run_uppercase('GooGLEFluTTER') == 4

### Response:
Here is the Python function to solve your problem:

```python
def max_run_uppercase(s):
    max_count = 0
    count = 0
    for char in s:
        if char.isupper():
            count += 1
            max_count = max(max_count, count)
        else:
            count = 0
    return max_count
```

--------------------------------------------------Mbpp/807--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a python function to find the first odd number in a given list of numbers.
>>> Test Cases:
assert first_odd([1,3,5]) == 1
assert first_odd([2,4,1,3]) == 1
assert first_odd ([8,9,1]) == 9

### Response:
Here is the python function to find the first odd number in a given list of numbers:

```python
def first_odd(nums):
    for num in nums:
        if num % 2 != 0:
            return num
    return None
```

--------------------------------------------------Mbpp/808--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if the given tuples contain the k or not.
>>> Test Cases:
assert check_K((10, 4, 5, 6, 8), 6) == True
assert check_K((1, 2, 3, 4, 5, 6), 7) == False
assert check_K((7, 8, 9, 44, 11, 12), 11) == True

### Response:
Here is the Python function to check if the given tuples contain the k or not:

```python
def check_K(test_tup, k):
    return k in test_tup
```

--------------------------------------------------Mbpp/809--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to check if each element of second tuple is smaller than its corresponding index in first tuple.
>>> Test Cases:
assert check_smaller((1, 2, 3), (2, 3, 4)) == False
assert check_smaller((4, 5, 6), (3, 4, 5)) == True
assert check_smaller((11, 12, 13), (10, 11, 12)) == True

### Response:
Here is the Python function to solve your problem:

```python
def check_smaller(tup1, tup2):
    for i in range(len(tup1)):
        if tup2[i] >= tup1[i]:
            return False
    return True
```

--------------------------------------------------Mbpp/810--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
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)

>>> Code:
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res) 
```

- Example 2:
>>> Problem:
Write a python function to identify non-prime numbers.
>>> Test Cases:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

>>> Code:
```python
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
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
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]

>>> Code:
```python
import heapq as hq
def heap_queue_largest(nums,n):
  largest_nums = hq.nlargest(n, nums)
  return largest_nums
```

Here is my problem:
>>> Problem:
Write a function to iterate over elements repeating each as many times as its count.
>>> Test Cases:
assert count_variable(4,2,0,-2)==['p', 'p', 'p', 'p', 'q', 'q'] 
assert count_variable(0,1,2,3)==['q', 'r', 'r', 's', 's', 's'] 
assert count_variable(11,15,12,23)==['p', 'p', 'p', 'p', 'p', 'p', 'p', 'p', 'p', 'p', 'p', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's', 's']

### Response:
Here is the Python function `count_variable` that meets your requirements:

```python
def count_variable(*counts):
    alphabet = ['p', 'q', 'r', 's']
    result = []
    for count, letter in zip(counts, alphabet):
        result.extend([letter] * abs(count))
    return result
```