

--------------------------------------------------Mbpp/11--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 remove first and last occurrence of a given character from the string.
>>> Test Cases:
assert remove_Occ("hello","l") == "heo"
assert remove_Occ("abcda","a") == "bcd"
assert remove_Occ("PHP","P") == "H"

### Response:
Here is the Python function to remove first and last occurrence of a given character from the string:

```python
def remove_Occ(s, ch):
    first_index = s.find(ch)
    if first_index != -1:
        s = s[:first_index] + s[first_index+1:]
        last_index = s.rfind(ch)
        if last_index != -1:
            s = s[:last_index] + s[last_index+1:]
    return s
```

--------------------------------------------------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/14--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 volume of a triangular prism.
>>> Test Cases:
assert find_Volume(10,8,6) == 240
assert find_Volume(3,2,2) == 6
assert find_Volume(1,2,1) == 1

### Response:
The volume V of a triangular prism is given by the formula:

V = 1/2 * base * height * length

So, you can implement the function find_Volume as follows:

```python
def find_Volume(base, height, length):
    return 0.5 * base * height * length
```

--------------------------------------------------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/16--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 sequences of lowercase letters joined with an underscore.
>>> Test Cases:
assert text_lowercase_underscore("aab_cbbbc")==('Found a match!')
assert text_lowercase_underscore("aab_Abbbc")==('Not matched!')
assert text_lowercase_underscore("Aaab_abbbc")==('Not matched!')

### Response:
Here is the Python function that matches the lowercase letters joined with an underscore:

```python
import re

def text_lowercase_underscore(text):
    pattern = '^[a-z]+_[a-z]+$'
    if re.match(pattern, text):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------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 solve your problem:

```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 a given number is a Woodall number or not:

```python
def is_woodall(n):
    i = 1
    while True:
        j = 1
        while True:
            sum_squares = i**2 + j**2
            if sum_squares == n:
                return True
            elif sum_squares < n:
                j += 1
            else:
                break
        i += 1
        if i**2 > n:
            break
    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 for your problem:

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

--------------------------------------------------Mbpp/22--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 first duplicate element in a given array of integers.
>>> Test Cases:
assert find_first_duplicate(([1, 2, 3, 4, 4, 5]))==4
assert find_first_duplicate([1, 2, 3, 4])==-1
assert find_first_duplicate([1, 1, 2, 3, 3, 2, 2])==1

### Response:
Here is the Python function to find the first duplicate element in a given array of integers:

```python
def find_first_duplicate(nums):
    num_dict = {}
    for num in nums:
        if num in num_dict:
            return num
        else:
            num_dict[num] = 1
    return -1
```

--------------------------------------------------Mbpp/23--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 sum of elements of list in a list of lists.
>>> Test Cases:
assert maximum_Sum([[1,2,3],[4,5,6],[10,11,12],[7,8,9]]) == 33
assert maximum_Sum([[0,1,1],[1,1,2],[3,2,1]]) == 6
assert maximum_Sum([[0,1,3],[1,2,1],[9,8,2],[0,1,0],[6,4,8]]) == 19

### Response:
Here is the Python function to find the maximum sum of elements of list in a list of lists:

```python
def maximum_Sum(lst):
    return max(sum(lst, [])), max(sum(sub, []) for sub in lst)
```

--------------------------------------------------Mbpp/24--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 binary number to its decimal equivalent.
>>> Test Cases:
assert binary_to_decimal(100) == 4
assert binary_to_decimal(1011) == 11
assert binary_to_decimal(1101101) == 109

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

```python
def binary_to_decimal(binary):
    binary = str(binary)
    decimal = 0
    for digit in binary:
        decimal = decimal*2 + int(digit)
    return decimal
```

--------------------------------------------------Mbpp/25--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 product of non-repeated elements in a given array.
>>> Test Cases:
assert find_Product([1,1,2,3],4) == 6
assert find_Product([1,2,3,1,1],5) == 6
assert find_Product([1,1,4,5,6],5) == 120

### Response:
Here is the Python function to find the product of non-repeated elements in a given array:

```python
from collections import Counter

def find_Product(arr,n):
    counter = Counter(arr)
    product = 1
    for key, value in counter.items():
        if value == 1:
            product *= key
    return product
```

--------------------------------------------------Mbpp/26--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 list has all k elements.
>>> Test Cases:
assert check_k_elements([(4, 4), (4, 4, 4), (4, 4), (4, 4, 4, 4), (4, )], 4) == True
assert check_k_elements([(7, 7, 7), (7, 7)], 7) == True
assert check_k_elements([(9, 9), (9, 9, 9, 9)], 7) == False

### Response:
Here is the Python function that checks if the given tuple list has all k elements:

```python
def check_k_elements(tuples_list, k):
    for tup in tuples_list:
        if len(tup) != k:
            return False
    return True
```

--------------------------------------------------Mbpp/27--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 remove all digits from a list of strings.
>>> Test Cases:
assert remove(['4words', '3letters', '4digits']) == ['words', 'letters', 'digits']
assert remove(['28Jan','12Jan','11Jan']) == ['Jan','Jan','Jan']
assert remove(['wonder1','wonder2','wonder3']) == ['wonder','wonder','wonder']

### Response:
Here is the Python function to remove all digits from a list of strings:

```python
def remove(lst):
    return [''.join(filter(lambda x: not x.isdigit(), s)) for s in lst]
```

--------------------------------------------------Mbpp/28--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 binomial co-efficient.
>>> Test Cases:
assert binomial_Coeff(5,2) == 10
assert binomial_Coeff(4,3) == 4
assert binomial_Coeff(3,2) == 3

### Response:
Here is the Python function to find binomial co-efficient:

```python
def binomial_Coeff(n, k):
    if k > n:
        return 0
    if k > n//2:
        k = n-k
    res = 1
    for i in range(k):
        res = res * (n-i) // (i+1)
    return res
```

--------------------------------------------------Mbpp/29--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 occurring odd number of times.
>>> Test Cases:
assert get_Odd_Occurrence([1,2,3,1,2,3,1],7) == 1
assert get_Odd_Occurrence([1,2,3,2,3,1,3],7) == 3
assert get_Odd_Occurrence([2,3,5,4,5,2,4,3,5,2,4,4,2],13) == 5

### Response:
Here is the Python function to find the element occurring odd number of times:

```python
def get_Odd_Occurrence(arr, n):
    res = 0
    for i in range(0, n):
        res = res ^ arr[i]
    return res
```

--------------------------------------------------Mbpp/30--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 all the substrings starting and ending with same characters.
>>> Test Cases:
assert count_Substring_With_Equal_Ends("abc") == 3
assert count_Substring_With_Equal_Ends("abcda") == 6
assert count_Substring_With_Equal_Ends("ab") == 2

### Response:
Here is the Python function to count all the substrings starting and ending with same characters:

```python
def count_Substring_With_Equal_Ends(s):
    count = 0
    for i in range(len(s)):
        for j in range(i+1, len(s)+1):
            if s[i] == s[j-1]:
                count += 1
    return count
```

--------------------------------------------------Mbpp/31--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 top k integers that occur most frequently from given lists of sorted and distinct integers using heap queue algorithm.
>>> Test Cases:
assert func([[1, 2, 6], [1, 3, 4, 5, 7, 8], [1, 3, 5, 6, 8, 9], [2, 5, 7, 11], [1, 4, 7, 8, 12]],3)==[5, 7, 1]
assert func([[1, 2, 6], [1, 3, 4, 5, 7, 8], [1, 3, 5, 6, 8, 9], [2, 5, 7, 11], [1, 4, 7, 8, 12]],1)==[1]
assert func([[1, 2, 6], [1, 3, 4, 5, 7, 8], [1, 3, 5, 6, 8, 9], [2, 5, 7, 11], [1, 4, 7, 8, 12]],5)==[6, 5, 7, 8, 1]

### Response:
Here is the Python function that uses the heap queue algorithm to find the top k integers that occur most frequently from given lists of sorted and distinct integers.

```python
import heapq
from collections import Counter

def func(lists, k):
    # Flatten the lists and count the occurrences of each integer
    counts = Counter(num for sublist in lists for num in sublist)
    
    # Use a heap to keep track of the top k integers
    top_k = heapq.nlargest(k, counts.items(), key=lambda x: x[1])
    
    # Return the integers in the order they occur in the input lists
    return [num for num, count in top_k]
```

--------------------------------------------------Mbpp/32--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 prime factor of a given number.
>>> Test Cases:
assert max_Prime_Factors(15) == 5
assert max_Prime_Factors(6) == 3
assert max_Prime_Factors(2) == 2

### Response:
Here is the Python function to find the largest prime factor of a given number:

```python
def max_Prime_Factors(n):
    max_prime = -1
    while n % 2 == 0:
        max_prime = 2
        n >>= 1
    for i in range(3, int(n**0.5) + 1, 2):
        while n % i == 0:
            max_prime = i
            n = n / i
    if n > 2:
        max_prime = n
    return int(max_prime)
```

--------------------------------------------------Mbpp/33--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 a decimal number to binary number.
>>> Test Cases:
assert decimal_To_Binary(10) == 1010
assert decimal_To_Binary(1) == 1
assert decimal_To_Binary(20) == 10100

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

```python
def decimal_To_Binary(n):
    return int(bin(n)[2:])
```

--------------------------------------------------Mbpp/34--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 missing number in a sorted array.
>>> Test Cases:
assert find_missing([1,2,3,5],4) == 4
assert find_missing([1,3,4,5],4) == 2
assert find_missing([1,2,3,5,6,7],5) == 4

### Response:
Here is the Python function to find the missing number in a sorted array:

```python
def find_missing(arr, n):
    for i in range(n-1):
        if arr[i+1] - arr[i] > 1:
            return arr[i] + 1
    return -1
```

--------------------------------------------------Mbpp/35--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 rectangular number.
>>> Test Cases:
assert find_rect_num(4) == 20
assert find_rect_num(5) == 30
assert find_rect_num(6) == 42

### Response:
The n-th rectangular number can be found using the formula n*(n+1)*(2n+1)/6. Here is the Python function for it:

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

--------------------------------------------------Mbpp/36--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 nth digit in the proper fraction of two given numbers.
>>> Test Cases:
assert find_Nth_Digit(1,2,1) == 5
assert find_Nth_Digit(3,5,1) == 6
assert find_Nth_Digit(5,6,5) == 3

### Response:
Here is the Python function to find the nth digit in the proper fraction of two given numbers:

```python
def find_Nth_Digit(num1, num2, n):
    fraction = num1 / num2
    fraction_str = str(fraction)
    fraction_str = fraction_str.replace('.','')
    if n > len(fraction_str):
        return "n is larger than the number of digits in the fraction"
    else:
        return int(fraction_str[n-1])
```

--------------------------------------------------Mbpp/37--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 mixed list of integers and strings.
>>> Test Cases:
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']

### Response:
Here is the Python function to sort a given mixed list of integers and strings:

```python
def sort_mixed_list(mixed_list):
    mixed_list.sort(key=lambda x: (isinstance(x, str), x))
    return mixed_list
```

--------------------------------------------------Mbpp/38--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 division of first even and odd number of a given list.
>>> Test Cases:
assert div_even_odd([1,3,5,7,4,1,6,8])==4
assert div_even_odd([1,2,3,4,5,6,7,8,9,10])==2
assert div_even_odd([1,5,7,9,10])==10

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

```python
def div_even_odd(lst):
    even_nums = [num for num in lst if num % 2 == 0]
    odd_nums = [num for num in lst if num % 2 != 0]
    if len(even_nums) > 0 and len(odd_nums) > 0:
        return even_nums[0] / odd_nums[0]
    else:
        return "No even or odd numbers in the list"
```

--------------------------------------------------Mbpp/39--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 letters of a given string can be rearranged so that two characters that are adjacent to each other are different.
>>> Test Cases:
assert rearange_string("aab")==('aba')
assert rearange_string("aabb")==('abab')
assert rearange_string("abccdd")==('cdabcd')

### Response:
Here is a Python function that solves your problem:

```python
from collections import Counter
from heapq import heappop, heappush

def rearange_string(s):
    char_counts = Counter(s)
    max_heap = []
    for char, count in char_counts.items():
        heappush(max_heap, (-count, char))
    prev_count, prev_char = 0, ''
    result = []
    while max_heap:
        count, char = heappop(max_heap)
        result.append(char)
        if prev_count < 0:
            heappush(max_heap, (prev_count, prev_char))
        count += 1
        prev_count, prev_char = count, char
    return ''.join(result) if len(result) == len(s) else ""
```

--------------------------------------------------Mbpp/40--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 of the elements in a given list of lists using collections module.
>>> Test Cases:
assert freq_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]])==({2: 3, 1: 2, 5: 2, 3: 1, 4: 1, 6: 1, 7: 1, 9: 1})
assert freq_element([[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 freq_element([[15,20,30,40],[80,90,100,110],[30,30,80,90]])==({30: 3, 80: 2, 90: 2, 15: 1, 20: 1, 40: 1, 100: 1, 110: 1})

### Response:
Here is the Python function using collections module:

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

--------------------------------------------------Mbpp/41--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 even numbers using lambda function.
>>> Test Cases:
assert filter_evennumbers([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[2, 4, 6, 8, 10]
assert filter_evennumbers([10,20,45,67,84,93])==[10,20,84]
assert filter_evennumbers([5,7,9,8,6,4,3])==[8,6,4]

### Response:
Here is the Python function that filters even numbers using lambda function:

```python
def filter_evennumbers(nums):
    return list(filter(lambda x: x % 2 == 0, nums))
```

--------------------------------------------------Mbpp/42--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 repeated elements in a given array.
>>> Test Cases:
assert find_Sum([1,2,3,1,1,4,5,6],8) == 3
assert find_Sum([1,2,3,1,1],5) == 3
assert find_Sum([1,1,2],3) == 2

### Response:
Here is the Python function to find the sum of repeated elements in a given array:

```python
def find_Sum(arr, n):
    freq = {} 
    for items in arr: 
        freq[items] = freq.get(items, 0) + 1
    repeated = [key for key, value in freq.items() if value > 1]
    return sum(repeated)
```

--------------------------------------------------Mbpp/43--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 sequences of lowercase letters joined with an underscore using regex.
>>> Test Cases:
assert text_match("aab_cbbbc") == 'Found a match!'
assert text_match("aab_Abbbc") == 'Not matched!'
assert text_match("Aaab_abbbc") == 'Not matched!'

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

```python
import re

def text_match(text):
    pattern = '[a-z]+_[a-z]+'
    if re.search(pattern, text):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------Mbpp/44--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as 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 at the beginning of a string.
>>> Test Cases:
assert text_match_string(" python")==('Not matched!')
assert text_match_string("python")==('Found a match!')
assert text_match_string("  lang")==('Not matched!')

### Response:
Here is the Python function that matches a word at the beginning of a string:

```python
import re

def text_match_string(text):
    pattern = '^python'
    if re.match(pattern, text):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------Mbpp/45--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 gcd of the given array elements.
>>> Test Cases:
assert get_gcd([2, 4, 6, 8, 16]) == 2
assert get_gcd([1, 2, 3]) == 1
assert get_gcd([2, 4, 6, 8]) == 2 

### Response:
Here is the Python function to find the gcd of the given array elements:

```python
import math

def get_gcd(lst):
    num1 = lst[0]
    num2 = lst[1]
    gcd = math.gcd(num1, num2)

    for i in range(2, len(lst)):
        gcd = math.gcd(gcd, lst[i])

    return gcd
```

--------------------------------------------------Mbpp/46--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 determine whether all the numbers are different from each other are not.
>>> Test Cases:
assert test_distinct([1,5,7,9]) == True
assert test_distinct([2,4,5,5,7,9]) == False
assert test_distinct([1,2,3]) == True

### Response:
Here is the Python function to determine whether all the numbers are different from each other or not:

```python
def test_distinct(nums):
    return len(nums) == len(set(nums))
```

--------------------------------------------------Mbpp/47--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 when factorial of a divides factorial of b.
>>> Test Cases:
assert compute_Last_Digit(2,4) == 2
assert compute_Last_Digit(6,8) == 6
assert compute_Last_Digit(1,2) == 2

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

```python
def compute_Last_Digit(a, b):
    fact_a = 1
    fact_b = 1
    for i in range(1, a + 1):
        fact_a *= i
    for i in range(1, b + 1):
        fact_b *= i
    return (fact_b // fact_a) % 10
```

--------------------------------------------------Mbpp/48--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 odd bits of a given number.
>>> Test Cases:
assert odd_bit_set_number(10) == 15
assert odd_bit_set_number(20) == 21
assert odd_bit_set_number(30) == 31

### Response:
Here is the Python function to set all odd bits of a given number:

```python
def odd_bit_set_number(n):
    return n | (2 << (bin(n)[2:].index('0') - 1))
```

--------------------------------------------------Mbpp/49--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 every first or specified element from a given two-dimensional list.
>>> Test Cases:
assert specified_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]],0)==[1, 4, 7]
assert specified_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]],2)==[3, 6, 9]
assert specified_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]],1)==[2,5,1]

### Response:
Here is the Python function that extracts every first or specified element from a given two-dimensional list:

```python
def specified_element(two_d_list, index):
    return [sub_list[index] for sub_list in two_d_list]
```

--------------------------------------------------Mbpp/50--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 minimum length using lambda function.
>>> Test Cases:
assert min_length_list([[0], [1, 3], [5, 7], [9, 11], [13, 15, 17]])==(1, [0])
assert min_length_list([[1,2,3,4,5],[1,2,3,4],[1,2,3],[1,2],[1]])==(1,[1])
assert min_length_list([[3,4,5],[6,7,8,9],[10,11,12],[1,2]])==(2,[1,2])

### Response:
Here is the Python function that uses lambda function to find the list with minimum length:

```python
def min_length_list(lst):
    min_len_list = min(lst, key=lambda x: len(x))
    return len(min_len_list), min_len_list
```

--------------------------------------------------Mbpp/51--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to print check if the triangle is equilateral or not.
>>> Test Cases:
assert check_equilateral(6,8,12)==False 
assert check_equilateral(6,6,12)==False
assert check_equilateral(6,6,6)==True

### Response:
Here is the Python function to check if the triangle is equilateral or not:

```python
def check_equilateral(a, b, c):
    if a == b == c:
        return True
    else:
        return False
```

--------------------------------------------------Mbpp/52--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 area of a parallelogram.
>>> Test Cases:
assert parallelogram_area(10,20)==200
assert parallelogram_area(15,20)==300
assert parallelogram_area(8,9)==72

### Response:
The area of a parallelogram is given by the formula base * height. Here is the Python function for your problem:

```python
def parallelogram_area(base, height):
    return base * height
```

--------------------------------------------------Mbpp/53--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 first and last characters of a given string are equal or not.
>>> Test Cases:
assert check_Equality("abcda") == "Equal"
assert check_Equality("ab") == "Not Equal"
assert check_Equality("mad") == "Not Equal"

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

```python
def check_Equality(s):
    if s[0] == s[-1]:
        return "Equal"
    else:
        return "Not Equal"
```

--------------------------------------------------Mbpp/54--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 counting sort.
>>> Test Cases:
assert counting_sort([1,23,4,5,6,7,8]) == [1, 4, 5, 6, 7, 8, 23]
assert counting_sort([12, 9, 28, 33, 69, 45]) == [9, 12, 28, 33, 45, 69]
assert counting_sort([8, 4, 14, 3, 2, 1]) == [1, 2, 3, 4, 8, 14]

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

```python
def counting_sort(arr):
    max_val = max(arr)
    count = [0] * (max_val + 1)

    for num in arr:
        count[num] += 1

    sorted_arr = []
    for i, frequency in enumerate(count):
        sorted_arr.extend([i] * frequency)

    return sorted_arr
```

--------------------------------------------------Mbpp/55--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 t-nth term of geometric series.
>>> Test Cases:
assert tn_gp(1,5,2)==16
assert tn_gp(1,5,4)==256
assert tn_gp(2,6,3)==486

### Response:
Here is the Python function to find the t-nth term of a geometric series:

```python
def tn_gp(a, r, n):
    return a * (r ** (n - 1))
```

--------------------------------------------------Mbpp/56--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 a given number is one less than twice its reverse.
>>> Test Cases:
assert check(70) == False
assert check(23) == False
assert check(73) == True

### Response:
Here is the Python function to check if a given number is one less than twice its reverse:

```python
def check(n):
    # Convert the number to string to reverse it
    str_n = str(n)
    # Reverse the string
    reversed_str_n = str_n[::-1]
    # Convert the reversed string back to integer
    reversed_n = int(reversed_str_n)
    # Check if the number is one less than twice its reverse
    return n == (2 * reversed_n) - 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(lst,n):
    lst.sort(reverse=True)
    return int("".join(map(str, lst)))
```

--------------------------------------------------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/61--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 substrings with the sum of digits equal to their length.
>>> Test Cases:
assert count_Substrings('112112',6) == 6
assert count_Substrings('111',3) == 6
assert count_Substrings('1101112',7) == 12

### Response:
Here is the Python function to count number of substrings with the sum of digits equal to their length:

```python
def count_Substrings(s, n):
    count = 0
    for i in range(n):
        sum_digits = 0
        for j in range(i, n):
            sum_digits += int(s[j])
            if sum_digits == j - i + 1:
                count += 1
    return count
```

--------------------------------------------------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(lst):
    return max(max(pair) - min(pair) for pair in lst)
```

--------------------------------------------------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):
    count = 0
    for num in nums:
        if num > 0:
            count += 1
    return count
```

--------------------------------------------------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, ...

The number of ways to partition a set of n elements is given by the Bell number B(n). The Bell number B(n) is the number of ways to partition a set of n labelled objects into any number of subsets.

Here is a Python function that calculates the Bell number for a given input:

```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 that solves 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 your problem:

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

    while not sorted:
        gap = max(1, int(gap / shrink))
        if gap > 1:
            sorted = False
        else:
            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/74--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 it follows the sequence given in the patterns array.
>>> Test Cases:
assert is_samepatterns(["red","green","green"], ["a", "b", "b"])==True 
assert is_samepatterns(["red","green","greenn"], ["a","b","b"])==False 
assert is_samepatterns(["red","green","greenn"], ["a","b"])==False 

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

```python
def is_samepatterns(colors, patterns):
    if len(colors) != len(patterns):
        return False
    color_pattern = {}
    pattern_color = {}
    for color, pattern in zip(colors, patterns):
        if color not in color_pattern:
            color_pattern[color] = pattern
        if pattern not in pattern_color:
            pattern_color[pattern] = color
        if color_pattern[color] != pattern or pattern_color[pattern] != color:
            return False
    return True
```

--------------------------------------------------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/77--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 even and odd digits.
>>> Test Cases:
assert is_Diff (12345) == False
assert is_Diff(1212112) == True
assert is_Diff(1212) == False

### Response:
Here is the Python function to find the difference between sum of even and odd digits:

```python
def is_Diff(n):
    even_sum = 0
    odd_sum = 0
    for digit in str(n):
        if int(digit) % 2 == 0:
            even_sum += int(digit)
        else:
            odd_sum += int(digit)
    return even_sum != odd_sum
```

--------------------------------------------------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 number of integers with odd number of set bits:

```python
def count_With_Odd_SetBits(n):
    def countSetBits(n):
        count = 0
        while (n):
            count += n & 1
            n >>= 1
        return count

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

--------------------------------------------------Mbpp/79--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 length of the word is odd or not.
>>> Test Cases:
assert word_len("Hadoop") == False
assert word_len("great") == True
assert word_len("structure") == True

### Response:
Here is the Python function to check whether the length of the word is odd or not:

```python
def word_len(word):
    return len(word) % 2 == 1
```

--------------------------------------------------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/82--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 sphere.
>>> Test Cases:
assert volume_sphere(10)==4188.790204786391
assert volume_sphere(25)==65449.84694978735
assert volume_sphere(20)==33510.32163829113

### Response:
Here is the Python function to calculate the volume of a sphere:

```python
import math

def volume_sphere(radius):
    volume = (4/3) * math.pi * (radius ** 3)
    return volume
```

--------------------------------------------------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 is the sum of the two preceding ones. It starts with 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):
    freq_dict = {}
    for item in lst:
        if item in freq_dict:
            freq_dict[item] += 1
        else:
            freq_dict[item] = 1
    return freq_dict
```

--------------------------------------------------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 solve your problem:

```python
def find_substring(lst, substr):
    return any(substr in item for item 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):
    num = str(num)
    if len(num) < 3:
        return False
    for i in range(2, len(num)):
        if num[i] == num[i-1] or num[i-1] != num[i-2]:
            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 solve your problem:

```python
def index_minimum(records):
    # Initialize the minimum value and its corresponding 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 its corresponding 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 the given 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 solve your problem:

```python
def next_smallest_palindrome(n):
    while True:
        n += 1
        if str(n) == str(n)[::-1]:
            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:
The Eulerian number a(n, m) is a generalization of the Fibonacci sequence. It is defined as the sum of the products of the binomial coefficients and the Eulerian numbers for smaller values of n and m.

Here is a Python function that calculates the Eulerian number a(n, m):

```python
def eulerian_num(n, m):
    if m == 0 or m == n:
        return 1
    elif m > n or m < 0:
        return 0
    else:
        return (n-m+1)*eulerian_num(n-1, m) + (m+1)*eulerian_num(n-1, m-1)
```

--------------------------------------------------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 that sorts each sublist of strings in a given list of lists using lambda function:

```python
def sort_sublists(lst):
    return [sorted(sublist, key=lambda s: s.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 sum(lst)
```

--------------------------------------------------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 the given list to the given tuples:

```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/108--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 multiple sorted inputs into a single sorted iterator using heap queue algorithm.
>>> Test Cases:
assert merge_sorted_list([25, 24, 15, 4, 5, 29, 110],[19, 20, 11, 56, 25, 233, 154],[24, 26, 54, 48])==[4, 5, 11, 15, 19, 20, 24, 24, 25, 25, 26, 29, 48, 54, 56, 110, 154, 233]
assert merge_sorted_list([1, 3, 5, 6, 8, 9], [2, 5, 7, 11], [1, 4, 7, 8, 12])==[1, 1, 2, 3, 4, 5, 5, 6, 7, 7, 8, 8, 9, 11, 12]
assert merge_sorted_list([18, 14, 10, 9, 8, 7, 9, 3, 2, 4, 1],[25, 35, 22, 85, 14, 65, 75, 25, 58],[12, 74, 9, 50, 61, 41])==[1, 2, 3, 4, 7, 8, 9, 9, 9, 10, 12, 14, 14, 18, 22, 25, 25, 35, 41, 50, 58, 61, 65, 74, 75, 85]

### Response:
Here is the Python function to merge multiple sorted inputs into a single sorted iterator using heap queue algorithm:

```python
import heapq

def merge_sorted_list(*args):
    heap = []
    for lst in args:
        for item in lst:
            heapq.heappush(heap, item)
    return [heapq.heappop(heap) for _ in range(len(heap))]
```

--------------------------------------------------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 the Python function to solve your problem:

```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):
        # Check if the binary string is odd
        if int(''.join(binary_list), 2) % 2 != 0:
            count += 1
        # Rotate the binary string
        binary_list = [binary_list[-1]] + binary_list[:-1]
    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]))

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

    if ranges[-1][1] < end:
        missing_ranges.append((ranges[-1][1], end))

    return missing_ranges
```

--------------------------------------------------Mbpp/111--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 elements in given nested lists. * list item * list item * list item * list item
>>> Test Cases:
assert common_in_nested_lists([[12, 18, 23, 25, 45], [7, 12, 18, 24, 28], [1, 5, 8, 12, 15, 16, 18]])==[18, 12]
assert common_in_nested_lists([[12, 5, 23, 25, 45], [7, 11, 5, 23, 28], [1, 5, 8, 18, 23, 16]])==[5,23]
assert common_in_nested_lists([[2, 3,4, 1], [4, 5], [6,4, 8],[4, 5], [6, 8,4]])==[4]

### Response:
Here is the Python function to find common elements in given nested lists:

```python
from collections import Counter

def common_in_nested_lists(nested_list):
    # Flatten the nested list
    flat_list = [item for sublist in nested_list for item in sublist]
    
    # Count the frequency of each element
    counter = Counter(flat_list)
    
    # Find the common elements
    common_elements = [item for item, count in counter.items() if count == len(nested_list)]
    
    return common_elements
```

--------------------------------------------------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*(r+h), where r is the radius of the base and h is the height of the cylinder. Here is the Python function for your problem:

```python
import math

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

--------------------------------------------------Mbpp/113--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 string represents an integer or not.
>>> Test Cases:
assert check_integer("python")==False
assert check_integer("1")==True
assert check_integer("12345")==True

### Response:
Here is the Python function to check if a string represents an integer or not:

```python
def check_integer(s):
    try:
        int(s)
        return True
    except ValueError:
        return False
```

--------------------------------------------------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 = []
    for tup, freq in counter.items():
        result.append(tup + (freq,))
    return str(result)
```

--------------------------------------------------Mbpp/115--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 dictionaries in a list are empty or not.
>>> Test Cases:
assert empty_dit([{},{},{}])==True
assert empty_dit([{1,2},{},{}])==False
assert empty_dit({})==True

### Response:
Here is the Python function to check whether all dictionaries in a list are empty or not:

```python
def empty_dict(lst):
    return all(not d for d in lst)
```

--------------------------------------------------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 that converts all possible convertible elements in the list to float:

```python
def list_to_float(lst):
    result = []
    for tup in lst:
        new_tup = tuple(float(i) for i in tup)
        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 solve your problem:

```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 solve your problem:

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

--------------------------------------------------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 for your problem:

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

--------------------------------------------------Mbpp/122--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 n’th smart number.
>>> Test Cases:
assert smartNumber(1) == 30
assert smartNumber(50) == 273
assert smartNumber(1000) == 2664

### Response:
A smart number is a number that is a perfect cube. In other words, it is a number that can be expressed as the cube of an integer.

Here is the Python function to find the n'th smart number:

```python
def smartNumber(n):
    return n**3
```

--------------------------------------------------Mbpp/123--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 all amicable numbers from 1 to a specified number.
>>> Test Cases:
assert amicable_numbers_sum(999)==504
assert amicable_numbers_sum(9999)==31626
assert amicable_numbers_sum(99)==0

### Response:
An amicable number is a number that is equal to the sum of its proper divisors (not including the number itself). For example, the proper divisors of 220 are 1, 2, 4, 5, 10, 11, 20, 22, 44, 55, and 110; therefore, the sum of these divisors is 284. If the sum of the proper divisors of 284 is 220 (which is not 284), then 220 and 284 are an amicable pair.

Here is the Python function to sum all amicable numbers from 1 to a specified number:

```python
def sum_divisors(n):
    sum = 1
    for i in range(2, int(n**0.5) + 1):
        if n % i == 0:
            sum += i
            if i * i != n:  # if the divisor is not the square root of n, add the other divisor
                sum += n // i
    return sum

def amicable_numbers_sum(limit):
    sum_amicable_numbers = 0
    for i in range(1, limit + 1):
        sum_divisors_i = sum_divisors(i)
        if sum_divisors_i > i and sum_divisors(sum_divisors_i) == i:
            sum_amicable_numbers += i
    return sum_amicable_numbers
```

--------------------------------------------------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
            if zero_count == one_count:
                max_diff = max(max_diff, zero_count + one_count)
    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_common_divisors(num1, num2):
    def common_divisors(n):
        i = 1
        divisors = []
        while i <= n:
            if n % i == 0:
                divisors.append(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 each row, each column, and both main diagonals is the same. Here is a Python function that checks if a given 2D list represents a magic square:

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

    # Calculate the magic constant
    magic_constant = size * (size * size + 1) // 2

    # Check rows
    for row in square:
        if sum(row) != magic_constant:
            return False

    # Check columns
    for col in range(size):
        if sum(square[i][col] for i 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 a 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 the negative numbers of a given list of numbers:

```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, q):
    # Perform operation p times
    for _ in range(p):
        arr[-1] += q

    # Check if last element is even or odd
    if arr[-1] % 2 == 0:
        return "EVEN"
    else:
        return "ODD"
```

--------------------------------------------------Mbpp/135--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 hexagonal number.
>>> Test Cases:
assert hexagonal_num(10) == 190
assert hexagonal_num(5) == 45
assert hexagonal_num(7) == 91

### Response:
The nth hexagonal number can be calculated using the formula: n*(2n-1). Here is the Python function for it:

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

--------------------------------------------------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 conditions:

```python
def cal_electbill(units):
    if units <= 100:
        return units * 3.25
    elif units <= 200:
        return (100 * 3.25) + ((units - 100) * 4.75)
    elif units <= 300:
        return (100 * 3.25) + (100 * 4.75) + ((units - 200) * 5.25)
    else:
        return (100 * 3.25) + (100 * 4.75) + (100 * 5.25) + ((units - 300) * 6.75)
```

--------------------------------------------------Mbpp/137--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 zeroes in an array of integers.
>>> Test Cases:
assert zero_count([0, 1, 2, -1, -5, 6, 0, -3, -2, 3, 4, 6, 8])==0.15
assert zero_count([2, 1, 2, -1, -5, 6, 4, -3, -2, 3, 4, 6, 8])==0.00
assert zero_count([2, 4, -6, -9, 11, -12, 14, -5, 17])==0.00

### Response:
Here is the Python function to find the ratio of zeroes in an array of integers:

```python
def zero_count(nums):
    zero_count = nums.count(0)
    total_count = len(nums)
    zero_ratio = zero_count / total_count
    return zero_ratio
```

--------------------------------------------------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 the power of 2
    power = 0

    # While the power of 2 is less than or equal to n
    while 2 ** power <= n:
        # If the difference between n and the power of 2 is a sum of non-zero powers of 2
        if is_Sum_Of_Powers_Of_Two(n - 2 ** power):
            return True
        # Increment the power of 2
        power += 1

    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 tup.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 for pancake sort:

```python
def pancake_sort(arr):
    n = len(arr)
    for i in range(n, 0, -1):
        max_idx = arr.index(max(arr[:i]))
        if max_idx != i-1:
            if max_idx != 0:
                arr[:max_idx+1] = reversed(arr[:max_idx+1])
            arr[:i] = reversed(arr[:i])
    return arr
```

--------------------------------------------------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 i in test_tup:
    if isinstance(i, 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/145--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 difference between any two elements in a given array.
>>> Test Cases:
assert max_Abs_Diff((2,1,5,3),4) == 4
assert max_Abs_Diff((9,3,2,5,1),5) == 8
assert max_Abs_Diff((3,2,1),3) == 2

### Response:
Here is the Python function to find the maximum difference between any two elements in a given array:

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

--------------------------------------------------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/147--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 total path sum in the given triangle.
>>> Test Cases:
assert max_path_sum([[1, 0, 0], [4, 8, 0], [1, 5, 3]], 2, 2) == 14
assert max_path_sum([[13, 0, 0], [7, 4, 0], [2, 4, 6]], 2, 2) == 24 
assert max_path_sum([[2, 0, 0], [11, 18, 0], [21, 25, 33]], 2, 2) == 53

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

```python
def max_path_sum(triangle, n, m):
    for i in range(n-1, -1, -1):
        for j in range(i+1):
            triangle[i][j] += max(triangle[i+1][j], triangle[i+1][j+1])
    return triangle[0][0]
```

--------------------------------------------------Mbpp/148--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to divide a number into two parts such that the sum of digits is maximum.
>>> Test Cases:
assert sum_digits_twoparts(35)==17
assert sum_digits_twoparts(7)==7
assert sum_digits_twoparts(100)==19

### Response:
Here is the Python function to divide a number into two parts such that the sum of digits is maximum:

```python
def sum_digits_twoparts(n):
    digits = list(map(int, str(n)))
    digits.sort()
    part1 = digits[:len(digits)//2]
    part2 = digits[len(digits)//2:]
    return sum(part1) + sum(part2)
```

--------------------------------------------------Mbpp/149--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 subsequence such that the difference between adjacents is one for the given array.
>>> Test Cases:
assert longest_subseq_with_diff_one([1, 2, 3, 4, 5, 3, 2], 7) == 6
assert longest_subseq_with_diff_one([10, 9, 4, 5, 4, 8, 6], 7) == 3
assert longest_subseq_with_diff_one([1, 2, 3, 2, 3, 7, 2, 1], 8) == 7

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

```python
def longest_subseq_with_diff_one(arr, n):
    dp = [1]*n
    for i in range(1, n):
        for j in range(0, i):
            if abs(arr[i] - arr[j]) == 1 and dp[i] < dp[j] + 1:
                dp[i] = dp[j]+1
    maximum = 0
    for i in range(len(dp)):
        maximum = max(maximum, dp[i])
 
    return maximum
```

--------------------------------------------------Mbpp/150--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 whether the given number is present in the infinite sequence or not.
>>> Test Cases:
assert does_Contain_B(1,7,3) == True
assert does_Contain_B(1,-3,5) == False
assert does_Contain_B(3,2,5) == False

### Response:
Here is the Python function that checks if a given number is present in an infinite sequence.

```python
def does_Contain_B(a, b, c):
    if c == b:
        return True
    elif c < b:
        return False
    else:
        return does_Contain_B(a, b+a, c)
```

--------------------------------------------------Mbpp/151--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 co-prime or not.
>>> Test Cases:
assert is_coprime(17,13) == True
assert is_coprime(15,21) == False
assert is_coprime(25,45) == False

### Response:
Here is the Python function to check whether the given numbers are co-prime or not:

```python
def gcd(a, b):
    while b != 0:
        a, b = b, a % b
    return a

def is_coprime(x, y):
    return gcd(x, y) == 1
```

--------------------------------------------------Mbpp/152--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 merge sort.
>>> Test Cases:
assert merge_sort([3, 4, 2, 6, 5, 7, 1, 9]) == [1, 2, 3, 4, 5, 6, 7, 9]
assert merge_sort([7, 25, 45, 78, 11, 33, 19]) == [7, 11, 19, 25, 33, 45, 78]
assert merge_sort([3, 1, 4, 9, 8]) == [1, 3, 4, 8, 9]

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

```python
def merge_sort(arr):
    if len(arr) <= 1:
        return arr

    mid = len(arr) // 2
    left_half = arr[:mid]
    right_half = arr[mid:]

    return merge(merge_sort(left_half), merge_sort(right_half))

def merge(left, right):
    merged = []
    left_index = 0
    right_index = 0

    while left_index < len(left) and right_index < len(right):
        if left[left_index] < right[right_index]:
            merged.append(left[left_index])
            left_index += 1
        else:
            merged.append(right[right_index])
            right_index += 1

    merged.extend(left[left_index:])
    merged.extend(right[right_index:])

    return merged
```

--------------------------------------------------Mbpp/153--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 vertex of a parabola.
>>> Test Cases:
assert parabola_vertex(5,3,2)==(-0.3, 1.55)
assert parabola_vertex(9,8,4)==(-0.4444444444444444, 2.2222222222222223)
assert parabola_vertex(2,4,6)==(-1.0, 4.0)

### Response:
The vertex of a parabola is the point where its graph intersects the x-axis. The coordinates of the vertex (h, k) can be found using the formula:

h = -b / (2 * a)
k = c - b^2 / (4 * a)

Here is the Python function for your problem:

```python
def parabola_vertex(a, b, c):
    h = -b / (2 * a)
    k = c - (b**2) / (4 * a)
    return (h, k)
```

--------------------------------------------------Mbpp/154--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 every specified element from a given two dimensional list.
>>> Test Cases:
assert specified_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]],0)==[1, 4, 7]
assert specified_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]],2)==[3, 6, 9]
assert specified_element([[1, 2, 3, 2], [4, 5, 6, 2], [7, 1, 9, 5]],3)==[2,2,5]

### Response:
Here is the Python function to extract every specified element from a given two dimensional list:

```python
def specified_element(two_d_list, index):
    return [sub_list[index] for sub_list in two_d_list]
```

--------------------------------------------------Mbpp/155--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 all even bits of a given number.
>>> Test Cases:
assert even_bit_toggle_number(10) == 0
assert even_bit_toggle_number(20) == 30
assert even_bit_toggle_number(30) == 20

### Response:
Here is the Python function to toggle all even bits of a given number:

```python
def even_bit_toggle_number(n):
    # Create a mask to get all even bits
    mask = int('10101010101010101010101010101010', 2)
    # Toggle even bits
    n = n ^ mask
    return n
```

--------------------------------------------------Mbpp/156--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 tuple of string values to a tuple of integer values.
>>> Test Cases:
assert tuple_int_str((('333', '33'), ('1416', '55')))==((333, 33), (1416, 55))
assert tuple_int_str((('999', '99'), ('1000', '500')))==((999, 99), (1000, 500))
assert tuple_int_str((('666', '66'), ('1500', '555')))==((666, 66), (1500, 555))

### Response:
Here is the Python function to convert a tuple of string values to a tuple of integer values:

```python
def tuple_int_str(test_tup):
    res = tuple(tuple(int(i) for i in sub) for sub in test_tup)
    return res
```

--------------------------------------------------Mbpp/157--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to reflect the run-length encoding from a list.
>>> Test Cases:
assert encode_list([1,1,2,3,4,4.3,5,1])==[[2, 1], [1, 2], [1, 3], [1, 4], [1, 4.3], [1, 5], [1, 1]]
assert encode_list('automatically')==[[1, 'a'], [1, 'u'], [1, 't'], [1, 'o'], [1, 'm'], [1, 'a'], [1, 't'], [1, 'i'], [1, 'c'], [1, 'a'], [2, 'l'], [1, 'y']]
assert encode_list('python')==[[1, 'p'], [1, 'y'], [1, 't'], [1, 'h'], [1, 'o'], [1, 'n']]

### Response:
Here is the Python function to encode a list using run-length encoding:

```python
def encode_list(lst):
    encoded = []
    i = 0

    while i < len(lst):
        count = 1
        while i + 1 < len(lst) and lst[i] == lst[i + 1]:
            i += 1
            count += 1
        encoded.append([count, lst[i]])
        i += 1

    return encoded
```

--------------------------------------------------Mbpp/158--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 k number of operations required to make all elements equal.
>>> Test Cases:
assert min_Ops([2,2,2,2],4,3) == 0
assert min_Ops([4,2,6,8],4,3) == -1
assert min_Ops([21,33,9,45,63],5,6) == 24

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

```python
def min_Ops(arr, n, k):
    if k == 0:
        return 0
    arr.sort()
    ops = 0
    for i in range(n):
        if arr[i] < k:
            ops += k - arr[i]
            arr[i] = k
        elif arr[i] > k:
            ops += arr[i] - k
            arr[i] = k
    return ops
```

--------------------------------------------------Mbpp/159--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to print the season for the given month and day.
>>> Test Cases:
assert month_season('January',4)==('winter')
assert month_season('October',28)==('autumn')
assert month_season('June',6)==('spring')

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

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

--------------------------------------------------Mbpp/160--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 x and y that satisfies ax + by = n.
>>> Test Cases:
assert solution(2, 3, 7) == ('x = ', 2, ', y = ', 1)
assert solution(4, 2, 7) == 'No solution'
assert solution(1, 13, 17) == ('x = ', 4, ', y = ', 1)

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

```python
def solution(a, b, n):
    # Using Euclidean algorithm to find gcd of a and b
    if a == 0:
        if b == 1:
            return ('x = ', 0, ', y = ', n)
        else:
            return 'No solution'
    else:
        gcd = b if a > b else a
        x = n * b // gcd
        y = (n - a * x) // b
        return ('x = ', x, ', y = ', y)
```

--------------------------------------------------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(list1, list2):
    return [item for item in list1 if item not in list2]
```

--------------------------------------------------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 for your problem:

```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):
    """
    Function to calculate the area of a regular polygon.
    n: number of sides
    s: length of a side
    """
    # formula to calculate the area of a regular polygon is (n*s^2)/(4*tan(pi/n))
    area = (0.5 * n * s * s) / math.tan(math.pi / n)
    return area
```

--------------------------------------------------Mbpp/164--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 sum of divisors are same or not.
>>> Test Cases:
assert areEquivalent(36,57) == False
assert areEquivalent(2,4) == False
assert areEquivalent(23,47) == True

### Response:
Here is the Python function to check whether the sum of divisors are same or not:

```python
def areEquivalent(num1, num2):
    def sum_of_divisors(n):
        sum = 0
        for i in range(1, n + 1):
            if n % i == 0:
                sum += i
        return sum

    return sum_of_divisors(num1) == sum_of_divisors(num2)
```

--------------------------------------------------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].lower():
            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/170--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 of the numbers in a list between the indices of a specified range.
>>> Test Cases:
assert sum_range_list( [2,1,5,6,8,3,4,9,10,11,8,12],8,10)==29
assert sum_range_list( [2,1,5,6,8,3,4,9,10,11,8,12],5,7)==16
assert sum_range_list( [2,1,5,6,8,3,4,9,10,11,8,12],7,10)==38

### Response:
Here is the Python function that solves your problem:

```python
def sum_range_list(lst, start, end):
    return sum(lst[start:end+1])
```

--------------------------------------------------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/174--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to group a sequence of key-value pairs into a dictionary of lists.
>>> Test Cases:
assert group_keyvalue([('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)])=={'yellow': [1, 3], 'blue': [2, 4], 'red': [1]}
assert group_keyvalue([('python', 1), ('python', 2), ('python', 3), ('python', 4), ('python', 5)])=={'python': [1,2,3,4,5]}
assert group_keyvalue([('yellow',100), ('blue', 200), ('yellow', 300), ('blue', 400), ('red', 100)])=={'yellow': [100, 300], 'blue': [200, 400], 'red': [100]}

### Response:
Here is the Python function to group a sequence of key-value pairs into a dictionary of lists:

```python
def group_keyvalue(seq):
    result = {}
    for key, value in seq:
        if key not in result:
            result[key] = []
        result[key].append(value)
    return result
```

--------------------------------------------------Mbpp/175--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to verify validity of a string of parentheses.
>>> Test Cases:
assert is_valid_parenthese("(){}[]")==True
assert is_valid_parenthese("()[{)}")==False
assert is_valid_parenthese("()")==True

### Response:
Here is the Python function to verify validity of a string of parentheses:

```python
def is_valid_parenthese(s):
    stack = []
    mapping = {")": "(", "}": "{", "]": "["}
    for char in s:
        if char in mapping:
            top_element = stack.pop() if stack else '#'
            if mapping[char] != top_element:
                return False
        else:
            stack.append(char)
    return not stack
```

--------------------------------------------------Mbpp/176--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 triangle.
>>> Test Cases:
assert perimeter_triangle(10,20,30)==60
assert perimeter_triangle(3,4,5)==12
assert perimeter_triangle(25,35,45)==105

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

```python
def perimeter_triangle(a, b, c):
    return a + b + c
```

--------------------------------------------------Mbpp/177--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 two distinct numbers such that their lcm lies within the given range.
>>> Test Cases:
assert answer(3,8) == (3,6)
assert answer(2,6) == (2,4)
assert answer(1,3) == (1,2)

### Response:
Here is the Python function to find two distinct numbers such that their lcm lies within the given range:

```python
def gcd(a,b):
    while b != 0:
        a, b = b, a % b
    return a

def lcm(a, b):
    return a * b // gcd(a, b)

def answer(lower, upper):
    for i in range(lower, upper):
        for j in range(i+1, upper+1):
            if lcm(i, j) >= lower and lcm(i, j) <= upper:
                return (i, j)
```

--------------------------------------------------Mbpp/178--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 some literals strings in a string.
>>> Test Cases:
assert string_literals(['language'],'python language')==('Matched!')
assert string_literals(['program'],'python language')==('Not Matched!')
assert string_literals(['python'],'programming language')==('Not Matched!')

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

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

--------------------------------------------------Mbpp/179--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 if the given number is a keith number or not.
>>> Test Cases:
assert is_num_keith(14) == True
assert is_num_keith(12) == False
assert is_num_keith(197) == True

### Response:
A Keith number is a positive integer that can be represented as the sum of the first n terms of a sequence of positive integers, where n is the number of digits in the number.

Here is the Python function to check if a number is a Keith number or not:

```python
def is_num_keith(num):
    num_str = str(num)
    num_len = len(num_str)
    num_list = [int(num_str[i]) for i in range(num_len)]
    while len(num_list) < num_len:
        num_list.append(sum(num_list[-num_len:]))
        if num_list[-1] == num:
            return True
    return False
```

--------------------------------------------------Mbpp/180--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 distance between two points using latitude and longitude.
>>> Test Cases:
assert distance_lat_long(23.5,67.5,25.5,69.5)==12179.372041317429
assert distance_lat_long(10.5,20.5,30.5,40.5)==6069.397933300514
assert distance_lat_long(10,20,30,40)==6783.751974994595

### Response:
To calculate the distance between two points using latitude and longitude, you can use the Haversine formula. Here is the Python function:

```python
import math

def distance_lat_long(lat1, lon1, lat2, lon2):
    # Convert degrees to radians
    lat1, lon1, lat2, lon2 = math.radians(lat1), math.radians(lon1), math.radians(lat2), math.radians(lon2)

    # Haversine formula
    dlon = lon2 - lon1
    dlat = lat2 - lat1
    a = math.sin(dlat / 2) ** 2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon / 2) ** 2
    c = 2 * math.asin(math.sqrt(a))

    # Radius of earth in kilometers
    r = 6371

    # Calculate distance
    distance = c * r
    return distance
```

--------------------------------------------------Mbpp/181--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 prefix in the given set of strings.
>>> Test Cases:
assert common_prefix(["tablets", "tables", "taxi", "tamarind"], 4) == 'ta'
assert common_prefix(["apples", "ape", "april"], 3) == 'ap'
assert common_prefix(["teens", "teenager", "teenmar"], 3) == 'teen'

### Response:
Here is the Python function to find the longest common prefix in the given set of strings:

```python
def common_prefix(strings, n):
    if not strings:
        return ""
    shortest = min(strings, key=len)
    for i, char in enumerate(shortest):
        for other in strings:
            if other[i] != char:
                return shortest[:i]
    return shortest
```

--------------------------------------------------Mbpp/182--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 uppercase, lowercase, special character and numeric values using regex.
>>> Test Cases:
assert find_character("ThisIsGeeksforGeeks") == (['T', 'I', 'G', 'G'], ['h', 'i', 's', 's', 'e', 'e', 'k', 's', 'f', 'o', 'r', 'e', 'e', 'k', 's'], [], [])
assert find_character("Hithere2") == (['H'], ['i', 't', 'h', 'e', 'r', 'e'], ['2'], [])
assert find_character("HeyFolks32") == (['H', 'F'], ['e', 'y', 'o', 'l', 'k', 's'], ['3', '2'], [])

### Response:
Here is the Python function using regex to find uppercase, lowercase, special character and numeric values:

```python
import re

def find_character(s):
    uppercase = re.findall(r'[A-Z]', s)
    lowercase = re.findall(r'[a-z]', s)
    special_characters = re.findall(r'[^A-Za-z0-9]', s)
    numeric_values = re.findall(r'\d', s)
    return (uppercase, lowercase, special_characters, numeric_values)
```

--------------------------------------------------Mbpp/183--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 all the distinct pairs having a difference of k in any array.
>>> Test Cases:
assert count_pairs([1, 5, 3, 4, 2], 5, 3) == 2
assert count_pairs([8, 12, 16, 4, 0, 20], 6, 4) == 5
assert count_pairs([2, 4, 1, 3, 4], 5, 2) == 3

### Response:
Here is the Python function to count all the distinct pairs having a difference of k in any array:

```python
def count_pairs(arr, n, k):
    arr.sort()
    count = 0
    i, j = 0, 1
    while j < n:
        if arr[j] - arr[i] == k:
            count += 1
            i += 1
            j += 1
        elif arr[j] - arr[i] > k:
            i += 1
        else:
            j += 1
    return count
```

--------------------------------------------------Mbpp/184--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 the values in a list that are greater than a specified number.
>>> Test Cases:
assert greater_specificnum([220, 330, 500],200)==True
assert greater_specificnum([12, 17, 21],20)==False
assert greater_specificnum([1,2,3,4],10)==False

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

```python
def greater_specificnum(lst, num):
    return any(i > num for i in lst)
```

--------------------------------------------------Mbpp/185--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 focus of a parabola.
>>> Test Cases:
assert parabola_focus(5,3,2)==(-0.3, 1.6)
assert parabola_focus(9,8,4)==(-0.4444444444444444, 2.25)
assert parabola_focus(2,4,6)==(-1.0, 4.125)

### Response:
The focus of a parabola is the point where the line perpendicular to the directrix (the line of symmetry) intersects the parabola. The equation of a parabola is given by y = ax^2 + bx + c, where a is the coefficient of x^2, b is the coefficient of x, and c is the constant term.

The equation of the line perpendicular to the directrix is given by y = mx + c, where m is the slope of the line and c is the y-intercept of the line. The x-coordinate of the focus is given by -b/2a.

The y-coordinate of the focus can be found by substituting the x-coordinate of the focus into the equation of the parabola.

Here is the Python function for your problem:

```python
def parabola_focus(a, b, c):
    x_focus = -b / (2 * a)
    y_focus = a * x_focus**2 + b * x_focus + c
    return (x_focus, y_focus)
```

--------------------------------------------------Mbpp/186--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 some literals strings in a string by using regex.
>>> Test Cases:
assert check_literals('The quick brown fox jumps over the lazy dog.',['fox']) == 'Matched!'
assert check_literals('The quick brown fox jumps over the lazy dog.',['horse']) == 'Not Matched!'
assert check_literals('The quick brown fox jumps over the lazy dog.',['lazy']) == 'Matched!'

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

```python
import re

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

--------------------------------------------------Mbpp/187--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 two sequences.
>>> Test Cases:
assert longest_common_subsequence("AGGTAB" , "GXTXAYB", 6, 7) == 4
assert longest_common_subsequence("ABCDGH" , "AEDFHR", 6, 6) == 3
assert longest_common_subsequence("AXYT" , "AYZX", 4, 4) == 2

### Response:
Here is the Python function to find the longest common subsequence for the given two sequences:

```python
def longest_common_subsequence(X, Y, m, n):
    L = [[0 for x in range(n+1)] for i in range(m+1)]

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

--------------------------------------------------Mbpp/188--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 by product of two squares or not.
>>> Test Cases:
assert prod_Square(25) == False
assert prod_Square(30) == False
assert prod_Square(16) == True

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

```python
def prod_Square(n):
    while n % 4 == 0:
        n /= 4
    if n == 1:
        return True
    else:
        return False
```

--------------------------------------------------Mbpp/189--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 missing positive number.
>>> Test Cases:
assert first_Missing_Positive([1,2,3,-1,5],5) == 4
assert first_Missing_Positive([0,-1,-2,1,5,8],6) == 2
assert first_Missing_Positive([0,1,2,5,-8],5) == 3

### Response:
Here is the Python function to find the first missing positive number:

```python
def first_Missing_Positive(nums,n):
    if 1 not in nums:
        return 1
    if n == 1:
        return 2
    nums = [x for x in nums if x > 0]
    nums.sort()
    for i in range(len(nums)-1):
        if nums[i+1] - nums[i] > 1:
            return nums[i] + 1
    return nums[-1] + 1
```

--------------------------------------------------Mbpp/190--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 integral co-ordinates that lie inside a square.
>>> Test Cases:
assert count_Intgral_Points(1,1,4,4) == 4
assert count_Intgral_Points(1,2,1,2) == 1
assert count_Intgral_Points(4,2,6,4) == 1

### Response:
Here is the Python function to count the number of integral co-ordinates that lie inside a square:

```python
def count_Intgral_Points(x1, y1, x2, y2):
    # The square is defined by two points (x1, y1) and (x2, y2)
    # The integral points are those where both x and y are integers
    # We can iterate over the range of x and y values and count the number of integral points
    count = 0
    for x in range(x1, x2 + 1):
        for y in range(y1, y2 + 1):
            if x == int(x) and y == int(y):
                count += 1
    return count
```

--------------------------------------------------Mbpp/191--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 name contains 30 days or not.
>>> Test Cases:
assert check_monthnumber("February")==False
assert check_monthnumber("June")==True
assert check_monthnumber("April")==True

### Response:
Here is the Python function that checks whether the given month name contains 30 days or not:

```python
def check_monthnumber(month):
    thirty_days_months = ["April", "June", "September", "November"]
    return month in thirty_days_months
```

--------------------------------------------------Mbpp/192--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 a string has atleast one letter and one number.
>>> Test Cases:
assert check_String('thishasboth29') == True
assert check_String('python') == False
assert check_String ('string') == False

### Response:
Here is the Python function that checks whether a string has at least one letter and one number:

```python
def check_String(test_string):
    return any(char.isdigit() for char in test_string) and any(char.isalpha() for char in test_string)
```

--------------------------------------------------Mbpp/193--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 duplicates from the given tuple.
>>> Test Cases:
assert remove_tuple((1, 3, 5, 2, 3, 5, 1, 1, 3)) == (1, 2, 3, 5)
assert remove_tuple((2, 3, 4, 4, 5, 6, 6, 7, 8, 8)) == (2, 3, 4, 5, 6, 7, 8)
assert remove_tuple((11, 12, 13, 11, 11, 12, 14, 13)) == (11, 12, 13, 14)

### Response:
Here is the Python function to remove duplicates from a given tuple:

```python
def remove_tuple(input_tuple):
    return tuple(set(input_tuple))
```

--------------------------------------------------Mbpp/194--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 octal number to decimal number.
>>> Test Cases:
assert octal_To_Decimal(25) == 21
assert octal_To_Decimal(30) == 24
assert octal_To_Decimal(40) == 32

### Response:
Here is the Python function to convert octal number to decimal number:

```python
def octal_To_Decimal(octal_num):
    decimal_num = 0
    base = 1

    while (octal_num):
        last_digit = octal_num % 10
        octal_num = int(octal_num / 10)

        decimal_num += last_digit * base
        base = base * 8

    return decimal_num
```

--------------------------------------------------Mbpp/195--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 position of an element in a sorted array.
>>> Test Cases:
assert first([1,2,3,4,5,6,6],6,6) == 5
assert first([1,2,2,2,3,2,2,4,2],2,9) == 1
assert first([1,2,3],1,3) == 0

### Response:
Here is the Python function to find the first position of an element in a sorted array:

```python
def first(arr, low, high):
    if high >= low:
        mid = low + (high - low) // 2
        if (mid == 0 or arr[mid - 1] < arr[mid]) and arr[mid] == arr[mid + 1]:
            return mid
        elif arr[mid] < arr[mid + 1]:
            return first(arr, mid + 1, high)
        else:
            return first(arr, low, mid - 1)
    return -1
```

--------------------------------------------------Mbpp/196--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 tuples with length k.
>>> Test Cases:
assert remove_tuples([(4, 5), (4, ), (8, 6, 7), (1, ), (3, 4, 6, 7)] , 1) == [(4, 5), (8, 6, 7), (3, 4, 6, 7)]
assert remove_tuples([(4, 5), (4,5), (6, 7), (1, 2, 3), (3, 4, 6, 7)] ,2) == [(1, 2, 3), (3, 4, 6, 7)]
assert remove_tuples([(1, 4, 4), (4, 3), (8, 6, 7), (1, ), (3, 6, 7)] , 3) == [(4, 3), (1,)]

### Response:
Here is the Python function to remove all the tuples with length k:

```python
def remove_tuples(lst, k):
    return [t for t in lst if len(t) != k]
```

--------------------------------------------------Mbpp/197--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 exponentiation of the given two tuples.
>>> Test Cases:
assert find_exponentio((10, 4, 5, 6), (5, 6, 7, 5)) == (100000, 4096, 78125, 7776)
assert find_exponentio((11, 5, 6, 7), (6, 7, 8, 6)) == (1771561, 78125, 1679616, 117649)
assert find_exponentio((12, 6, 7, 8), (7, 8, 9, 7)) == (35831808, 1679616, 40353607, 2097152)

### Response:
Here is the Python function to perform the exponentiation of the given two tuples:

```python
def find_exponentio(tup1, tup2):
    return tuple(a**b for a, b in zip(tup1, tup2))
```

--------------------------------------------------Mbpp/198--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 triangle that can be inscribed in an ellipse.
>>> Test Cases:
assert largest_triangle(4,2)==10.392304845413264
assert largest_triangle(5,7)==4.639421805988064
assert largest_triangle(9,1)==105.2220865598093

### Response:
The largest triangle that can be inscribed in an ellipse is a right-angled triangle. The largest such triangle can be formed when the semi-major axis (a) and semi-minor axis (b) of the ellipse are equal. In this case, the area of the largest triangle is given by the formula:

Area = 1/2 * a^2 * b

Here is the Python function that calculates the area of the largest triangle inscribed in an ellipse:

```python
import math

def largest_triangle(a, b):
    # Ensure a >= b
    if a < b:
        a, b = b, a
    # Calculate the area of the largest triangle
    area = 0.5 * a**2 * b
    return area
```

--------------------------------------------------Mbpp/199--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 highest power of 2 less than or equal to given number.
>>> Test Cases:
assert highest_Power_of_2(10) == 8
assert highest_Power_of_2(19) == 16
assert highest_Power_of_2(32) == 32

### Response:
Here is the Python function to find highest power of 2 less than or equal to given number:

```python
def highest_Power_of_2(n):
    i = 0
    while (1 << (i + 1)) <= n:
        i += 1
    return 1 << i
```

--------------------------------------------------Mbpp/200--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 index positions of the maximum values in a given list.
>>> Test Cases:
assert position_max([12,33,23,10,67,89,45,667,23,12,11,10,54])==[7]
assert position_max([1,2,2,2,4,4,4,5,5,5,5])==[7,8,9,10]
assert position_max([2,1,5,6,8,3,4,9,10,11,8,12])==[11]

### Response:
Here is the Python function to find all index positions of the maximum values in a given list:

```python
def position_max(lst):
    max_val = max(lst)
    positions = [i for i, val in enumerate(lst) if val == max_val]
    return positions
```

--------------------------------------------------Mbpp/201--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 elements in a list are same or not.
>>> Test Cases:
assert chkList(['one','one','one']) == True
assert chkList(['one','Two','Three']) == False
assert chkList(['bigdata','python','Django']) == False

### Response:
Here is the Python function to check whether all elements in a list are the same or not:

```python
def chkList(lst):
    return len(set(lst)) <= 1
```

--------------------------------------------------Mbpp/202--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 even characters in a string.
>>> Test Cases:
assert remove_even("python")==("pto")
assert remove_even("program")==("porm")
assert remove_even("language")==("lnug")

### Response:
Here is the Python function to remove even characters in a string:

```python
def remove_even(s):
    return ''.join([s[i] for i in range(len(s)) if i % 2 != 0])
```

--------------------------------------------------Mbpp/203--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 hamming distance between given two integers.
>>> Test Cases:
assert hamming_Distance(4,8) == 2
assert hamming_Distance(2,4) == 2
assert hamming_Distance(1,2) == 2

### Response:
Here is the Python function to find the hamming distance between given two integers:

```python
def hamming_Distance(x, y):
    return bin(x ^ y).count('1')
```

--------------------------------------------------Mbpp/204--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 occurrence of a given character in a string.
>>> Test Cases:
assert count("abcc","c") == 2
assert count("ababca","a") == 3
assert count("mnmm0pm","m") == 4

### Response:
Here is the Python function to count the occurrence of a given character in a string:

```python
def count(string, char):
    return string.count(char)
```

--------------------------------------------------Mbpp/205--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 inversions of tuple elements in the given tuple list.
>>> Test Cases:
assert inversion_elements((7, 8, 9, 1, 10, 7)) == (-8, -9, -10, -2, -11, -8)
assert inversion_elements((2, 4, 5, 6, 1, 7)) == (-3, -5, -6, -7, -2, -8)
assert inversion_elements((8, 9, 11, 14, 12, 13)) == (-9, -10, -12, -15, -13, -14)

### Response:
Here is the Python function to find the inversions of tuple elements in the given tuple list:

```python
def inversion_elements(tuples):
    return tuple(-i for i in tuples)
```

--------------------------------------------------Mbpp/206--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 adjacent element concatenation in the given tuples.
>>> Test Cases:
assert concatenate_elements(("DSP ", "IS ", "BEST ", "FOR ", "ALL ", "UTS")) == ('DSP IS ', 'IS BEST ', 'BEST FOR ', 'FOR ALL ', 'ALL UTS')
assert concatenate_elements(("RES ", "IS ", "BEST ", "FOR ", "ALL ", "QESR")) == ('RES IS ', 'IS BEST ', 'BEST FOR ', 'FOR ALL ', 'ALL QESR')
assert concatenate_elements(("MSAM", "IS ", "BEST ", "FOR ", "ALL ", "SKD")) == ('MSAMIS ', 'IS BEST ', 'BEST FOR ', 'FOR ALL ', 'ALL SKD')

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

```python
def concatenate_elements(test_tup):
    return tuple(a + b for a, b in zip(test_tup, test_tup[1:]))
```

--------------------------------------------------Mbpp/207--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 longest repeating subsequences such that the two subsequences don’t have same string characters at same positions.
>>> Test Cases:
assert find_longest_repeating_subseq("AABEBCDD") == 3
assert find_longest_repeating_subseq("aabb") == 2
assert find_longest_repeating_subseq("aab") == 1

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

```python
def find_longest_repeating_subseq(str):
    n = len(str)
    dp = [[0]*n for _ in range(n)]
    for i in range(n):
        dp[i][i] = 1
    for cl in range(2, n+1):
        for i in range(n-cl+1):
            j = i+cl-1
            if str[i] == str[j] and cl != 2:
                dp[i][j] = dp[i+1][j-1] + 2
            else:
                dp[i][j] = max(dp[i][j-1], dp[i+1][j])
    return dp[0][n-1]
```

--------------------------------------------------Mbpp/208--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 the given decimal with a precision of 2 by using regex.
>>> Test Cases:
assert is_decimal('123.11') == True
assert is_decimal('0.21') == True
assert is_decimal('123.1214') == False

### Response:
You can use the `re` module in Python to solve this problem. The `re` module provides support for regular expressions in Python.

Here is the Python function:

```python
import re

def is_decimal(s):
    match = re.fullmatch(r'\d+\.\d{2}', s)
    return match is not None
```

--------------------------------------------------Mbpp/209--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to delete the smallest element from the given heap and then insert a new item.
>>> Test Cases:
assert heap_replace( [25, 44, 68, 21, 39, 23, 89],21)==[21, 25, 23, 44, 39, 68, 89]
assert heap_replace([25, 44, 68, 21, 39, 23, 89],110)== [23, 25, 68, 44, 39, 110, 89]
assert heap_replace([25, 44, 68, 21, 39, 23, 89],500)==[23, 25, 68, 44, 39, 500, 89]

### Response:
Here is the Python function to delete the smallest element from the given heap and then insert a new item:

```python
import heapq

def heap_replace(heap, item):
    heapq.heapify(heap)
    heapq.heapreplace(heap, item)
    return heap
```

--------------------------------------------------Mbpp/210--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 that the given string contains only a certain set of characters(in this case a-z, a-z and 0-9) by using regex.
>>> Test Cases:
assert is_allowed_specific_char("ABCDEFabcdef123450") == True
assert is_allowed_specific_char("*&%@#!}{") == False
assert is_allowed_specific_char("HELLOhowareyou98765") == True

### Response:
Here is the Python function using regex to check if the given string contains only a certain set of characters (a-z, A-Z and 0-9):

```python
import re

def is_allowed_specific_char(string):
    allowed_characters = "^[a-zA-Z0-9]*$"
    if(re.match(allowed_characters, string)):
        return True
    else:
        return False
```

--------------------------------------------------Mbpp/211--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 numbers whose oth and nth bits are set.
>>> Test Cases:
assert count_Num(2) == 1
assert count_Num(3) == 2
assert count_Num(1) == 1

### Response:
Here is the Python function to count numbers whose 0th and nth bits are set:

```python
def count_Num(n):
    count = 0
    for i in range(n+1):
        if (i & 1) == 1 and (i & (1 << n)):
            count += 1
    return count
```

--------------------------------------------------Mbpp/212--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 n natural numbers.
>>> Test Cases:
assert fourth_Power_Sum(2) == 17
assert fourth_Power_Sum(4) == 354
assert fourth_Power_Sum(6) == 2275

### Response:
Here is the Python function to find the sum of fourth power of n natural numbers:

```python
def fourth_Power_Sum(n):
    return sum(i**4 for i in range(1, n+1))
```

--------------------------------------------------Mbpp/213--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 concatenation of two string tuples.
>>> Test Cases:
assert concatenate_strings(("Manjeet", "Nikhil", "Akshat"), (" Singh", " Meherwal", " Garg")) == ('Manjeet Singh', 'Nikhil Meherwal', 'Akshat Garg')
assert concatenate_strings(("Shaik", "Ayesha", "Sanya"), (" Dawood", " Begum", " Singh")) == ('Shaik Dawood', 'Ayesha Begum', 'Sanya Singh')
assert concatenate_strings(("Harpreet", "Priyanka", "Muskan"), ("Kour", " Agarwal", "Sethi")) == ('HarpreetKour', 'Priyanka Agarwal', 'MuskanSethi')

### Response:
Here is the Python function to concatenate two string tuples:

```python
def concatenate_strings(tup1, tup2):
    return tuple(x + y for x, y in zip(tup1, tup2))
```

--------------------------------------------------Mbpp/214--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 radians to degrees.
>>> Test Cases:
assert degree_radian(90)==5156.620156177409
assert degree_radian(60)==3437.746770784939
assert degree_radian(120)==6875.493541569878

### Response:
Here is the Python function to convert radians to degrees:

```python
import math

def degree_radian(rad):
    deg = rad * (180 / math.pi)
    return deg
```

--------------------------------------------------Mbpp/215--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to decode a run-length encoded given list.
>>> Test Cases:
assert decode_list([[2, 1], 2, 3, [2, 4], 5,1])==[1,1,2,3,4,4,5,1]
assert decode_list(['a', 'u', 't', 'o', 'm', 'a', 't', 'i', 'c', 'a', [2, 'l'], 'y'])==['a', 'u', 't', 'o', 'm', 'a', 't', 'i', 'c', 'a', 'l', 'l', 'y']
assert decode_list(['p', 'y', 't', 'h', 'o', 'n'])==['p', 'y', 't', 'h', 'o', 'n']

### Response:
Here is a Python function that decodes a run-length encoded list:

```python
def decode_list(lst):
    decoded = []
    for item in lst:
        if isinstance(item, list):
            decoded.extend(item[1]*[item[0]])
        else:
            decoded.append(item)
    return decoded
```

--------------------------------------------------Mbpp/216--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 nested list is a subset of another nested list.
>>> Test Cases:
assert check_subset_list([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]])==False
assert check_subset_list([[2, 3, 1], [4, 5], [6, 8]],[[4, 5], [6, 8]])==True
assert check_subset_list([['a', 'b'], ['e'], ['c', 'd']],[['g']])==False

### Response:
Here is the Python function to check if a nested list is a subset of another nested list:

```python
def check_subset_list(main_list, sub_lists):
    flattened_main_list = [item for sublist in main_list for item in sublist]
    for sub_list in sub_lists:
        if not set(sub_list).issubset(flattened_main_list):
            return False
    return True
```

--------------------------------------------------Mbpp/217--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 repeated character in a given string.
>>> Test Cases:
assert first_Repeated_Char("Google") == "o"
assert first_Repeated_Char("data") == "a"
assert first_Repeated_Char("python") == '\0'

### Response:
Here is the Python function to find the first repeated character in a given string:

```python
def first_Repeated_Char(string):
    char_count = {}
    for char in string:
        if char in char_count:
            return char
        else:
            char_count[char] = 1
    return '\0'
```

--------------------------------------------------Mbpp/218--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 operations required to make two numbers equal.
>>> Test Cases:
assert min_Operations(2,4) == 1
assert min_Operations(4,10) == 4
assert min_Operations(1,4) == 3

### Response:
Here is the Python function to find the minimum operations required to make two numbers equal:

```python
def min_Operations(a, b):
    if a == b:
        return 0
    if a > b:
        a, b = b, a
    return (b - a) + min_Operations(a, b - a)
```

--------------------------------------------------Mbpp/219--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 maximum and minimum k elements in the given tuple.
>>> Test Cases:
assert extract_min_max((5, 20, 3, 7, 6, 8), 2) == (3, 5, 8, 20)
assert extract_min_max((4, 5, 6, 1, 2, 7), 3) == (1, 2, 4, 5, 6, 7)
assert extract_min_max((2, 3, 4, 8, 9, 11, 7), 4) == (2, 3, 4, 7, 8, 9, 11)

### Response:
Here is the Python function to extract maximum and minimum k elements in the given tuple:

```python
def extract_min_max(nums, k):
    nums = list(nums)
    nums.sort()
    return tuple(nums[:k] + nums[-k:])
```

--------------------------------------------------Mbpp/220--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 maximum n occurrences of spaces, commas, or dots with a colon.
>>> Test Cases:
assert replace_max_specialchar('Python language, Programming language.',2)==('Python:language: Programming language.')
assert replace_max_specialchar('a b c,d e f',3)==('a:b:c:d e f')
assert replace_max_specialchar('ram reshma,ram rahim',1)==('ram:reshma,ram rahim')

### Response:
Here is the Python function to replace maximum n occurrences of spaces, commas, or dots with a colon:

```python
def replace_max_specialchar(s, n):
    special_chars = [' ', ',', '.']
    count = {char: 0 for char in special_chars}
    new_s = ''
    for char in s:
        if char in special_chars:
            count[char] += 1
            if count[char] <= n:
                new_s += ':'
            else:
                new_s += char
        else:
            new_s += char
    return new_s
```

--------------------------------------------------Mbpp/221--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 even number in a given list of numbers.
>>> Test Cases:
assert first_even ([1, 3, 5, 7, 4, 1, 6, 8]) == 4
assert first_even([2, 3, 4]) == 2
assert first_even([5, 6, 7]) == 6

### Response:
Here is the Python function to find the first even number in a given list of numbers:

```python
def first_even(nums):
    for num in nums:
        if num % 2 == 0:
            return num
    return None
```

--------------------------------------------------Mbpp/222--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 the elements in tuple have same data type or not.
>>> Test Cases:
assert check_type((5, 6, 7, 3, 5, 6) ) == True
assert check_type((1, 2, "4") ) == False
assert check_type((3, 2, 1, 4, 5) ) == True

### Response:
Here is the Python function to check if all the elements in a tuple have the same data type:

```python
def check_type(test_tup):
    return all(isinstance(i, type(test_tup[0])) for i in test_tup)
```

--------------------------------------------------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

    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) // 2
        if arr[mid] == arr[high]:
            high -= 1
        elif arr[mid] > arr[high]:
            low = mid + 1
        else:
            high = mid
    return arr[low]
```

--------------------------------------------------Mbpp/226--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 remove the characters which have odd index values of a given string.
>>> Test Cases:
assert odd_values_string('abcdef') == 'ace'
assert odd_values_string('python') == 'pto'
assert odd_values_string('data') == 'dt'

### Response:
Here is the Python function to remove the characters which have odd index values of a given string:

```python
def odd_values_string(s):
    return s[::2]
```

--------------------------------------------------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 for your problem:

```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/229--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to re-arrange the elements of the given array so that all negative elements appear before positive ones.
>>> Test Cases:
assert re_arrange_array([-1, 2, -3, 4, 5, 6, -7, 8, 9], 9) == [-1, -3, -7, 4, 5, 6, 2, 8, 9]
assert re_arrange_array([12, -14, -26, 13, 15], 5) == [-14, -26, 12, 13, 15]
assert re_arrange_array([10, 24, 36, -42, -39, -78, 85], 7) == [-42, -39, -78, 10, 24, 36, 85]

### Response:
Here is the Python function to re-arrange the elements of the given array so that all negative elements appear before positive ones:

```python
def re_arrange_array(arr, n):
    return sorted(arr, key=lambda x: (x >= 0, x))
```

--------------------------------------------------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, -1, -1):
        for j in range(len(triangle[i]) - 1):
            triangle[i - 1][j] += max(triangle[i][j], triangle[i][j + 1])
    return triangle[0][0]
```

--------------------------------------------------Mbpp/232--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 largest items from a dataset.
>>> Test Cases:
assert larg_nnum([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100],2)==[100,90]
assert larg_nnum([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100],5)==[100,90,80,70,60]
assert larg_nnum([10, 20, 50, 70, 90, 20, 50, 40, 60, 80, 100],3)==[100,90,80]

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

```python
import heapq

def larg_nnum(data, n):
    return heapq.nlargest(n, data)
```

--------------------------------------------------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):
    # Lateral surface area of a cylinder = 2*pi*r*h
    lateral_surface_area = 2 * math.pi * r * h
    return round(lateral_surface_area, 2)
```

--------------------------------------------------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:

n*(n+1)*(n+2)/6 - 3

where n is the number of layers of the triangle.

However, the formula only applies to triangles that are equilateral and have their base at the bottom. If the triangle is not at the bottom, we need to calculate the number of layers and then subtract 1 from it.

Here is the Python function that implements this:

```python
def No_of_Triangle(b, h):
    # Check if the triangle is equilateral
    if b != h:
        return -1

    # Calculate the number of layers
    n = b // 3

    # Calculate the number of triangles
    triangles = n * (n + 1) * (n + 2) // 6 - 3

    # If the triangle is not at the bottom, subtract 1
    if b % 3 != 0:
        triangles -= 1

    return triangles
```

--------------------------------------------------Mbpp/237--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 the occurrences of records which occur similar times in the given tuples.
>>> Test Cases:
assert check_occurences([(3, 1), (1, 3), (2, 5), (5, 2), (6, 3)] ) == {(1, 3): 2, (2, 5): 2, (3, 6): 1}
assert check_occurences([(4, 2), (2, 4), (3, 6), (6, 3), (7, 4)] ) == {(2, 4): 2, (3, 6): 2, (4, 7): 1}
assert check_occurences([(13, 2), (11, 23), (12, 25), (25, 12), (16, 23)] ) == {(2, 13): 1, (11, 23): 1, (12, 25): 2, (16, 23): 1}

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

```python
from collections import Counter

def check_occurences(records):
    # Sort each tuple in the list
    sorted_records = [tuple(sorted(record)) for record in records]
    
    # Count the occurrences of each sorted tuple
    count = Counter(sorted_records)
    
    # Create a new dictionary with the original tuples and their counts
    result = {records[i]: count[sorted_records[i]] for i in range(len(records))}
    
    return result
```

--------------------------------------------------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 that uses 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, 0, -1):
                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/242--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 total characters in a string.
>>> Test Cases:
assert count_charac("python programming")==18
assert count_charac("language")==8
assert count_charac("words")==5

### Response:
Here is the Python function to count total characters in a string:

```python
def count_charac(s):
    return len(s)
```

--------------------------------------------------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 the first element of tuples:

```python
from collections import Counter

def sort_on_occurence(lst):
    # Count the occurrence of the first element of each tuple
    count = Counter(x[0] for x in lst)
    
    # Sort the list based on the count of the first element
    lst.sort(key=lambda x: count[x[0]], reverse=True)
    
    # Group the tuples with the same first element into a single tuple
    result = []
    while lst:
        first_element = lst[0][0]
        group = [x for x in lst if x[0] == first_element]
        lst = [x for x in lst if x[0] != first_element]
        group = tuple(sum((x[i] for x in group), ()))
        result.append(group)
    
    return result
```

--------------------------------------------------Mbpp/244--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 next perfect square greater than a given number.
>>> Test Cases:
assert next_Perfect_Square(35) == 36
assert next_Perfect_Square(6) == 9
assert next_Perfect_Square(9) == 16

### Response:
Here is the Python function to find the next perfect square greater than a given number:

```python
import math

def next_Perfect_Square(n):
    root = math.sqrt(n)
    if root == int(root):
        return (root + 1) ** 2
    else:
        root = math.ceil(root)
        return root ** 2
```

--------------------------------------------------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 your problem:

```python
def max_sum(arr, n):
    if n == 1:
        return arr[0]

    # Initialize variables
    val = [0]*n
    val[0] = arr[0]
    val[1] = max(arr[0], arr[1])

    # Fill the array
    for i in range(2, n):
        val[i] = max(val[i-2] + arr[i], val[i-1])

    # Return the maximum sum
    return val[n-1]
```

--------------------------------------------------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/247--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 palindromic subsequence in the given string.
>>> Test Cases:
assert lps("TENS FOR TENS") == 5 
assert lps("CARDIO FOR CARDS") == 7
assert lps("PART OF THE JOURNEY IS PART") == 9 

### Response:
Here is a Python function that uses dynamic programming to find the longest palindromic subsequence in a given string.

```python
def lps(s):
    n = len(s)

    # Create a table to store lengths of longest palindromic subsequences
    dp = [[0 for x in range(n)]for y in range(n)]

    # All substrings of length 1 are palindromes
    for i in range(n):
        dp[i][i] = 1

    # Check for length 2 substrings
    for cl in range(2, n+1):
        for i in range(n - cl + 1):
            j = i + cl - 1
            if s[i] == s[j] and cl == 2:
                dp[i][j] = 2
            elif s[i] == s[j]:
                dp[i][j] = dp[i + 1][j - 1] + 2
            else:
                dp[i][j] = max(dp[i][j - 1], dp[i + 1][j]);

    return dp[0][n - 1]
```

--------------------------------------------------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/249--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 intersection of two arrays using lambda function.
>>> Test Cases:
assert intersection_array([1, 2, 3, 5, 7, 8, 9, 10],[1, 2, 4, 8, 9])==[1, 2, 8, 9]
assert intersection_array([1, 2, 3, 5, 7, 8, 9, 10],[3,5,7,9])==[3,5,7,9]
assert intersection_array([1, 2, 3, 5, 7, 8, 9, 10],[10,20,30,40])==[10]

### Response:
Here is the Python function using lambda function to find the intersection of two arrays:

```python
def intersection_array(arr1, arr2):
    return list(filter(lambda x: x in arr1, arr2))
```

--------------------------------------------------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] + 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):
    # Convert the number to a complex number
    c = complex(n)
    # Use cmath.polar to convert to polar coordinates
    r, phi = cmath.polar(c)
    # Return the radius and phase as a tuple
    return (r, phi)
```

--------------------------------------------------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/255--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to choose specified number of colours from three different colours and generate all the combinations with repetitions.
>>> Test Cases:
assert combinations_colors( ["Red","Green","Blue"],1)==[('Red',), ('Green',), ('Blue',)]
assert combinations_colors( ["Red","Green","Blue"],2)==[('Red', 'Red'), ('Red', 'Green'), ('Red', 'Blue'), ('Green', 'Green'), ('Green', 'Blue'), ('Blue', 'Blue')]
assert combinations_colors( ["Red","Green","Blue"],3)==[('Red', 'Red', 'Red'), ('Red', 'Red', 'Green'), ('Red', 'Red', 'Blue'), ('Red', 'Green', 'Green'), ('Red', 'Green', 'Blue'), ('Red', 'Blue', 'Blue'), ('Green', 'Green', 'Green'), ('Green', 'Green', 'Blue'), ('Green', 'Blue', 'Blue'), ('Blue', 'Blue', 'Blue')]

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

```python
from itertools import product

def combinations_colors(colors, num):
    return list(product(colors, repeat=num))
```

--------------------------------------------------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 number of odd elements in the given list:

```python
def count_odd(lst):
    return len(list(filter(lambda x: x % 2 != 0, lst)))
```

--------------------------------------------------Mbpp/259--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

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

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

```python
def maximize_elements(tup1, tup2):
    return tuple(max(x, y) for x, y in zip(tup1, tup2))
```

--------------------------------------------------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 True:
        if is_prime(num):
            count += 1
            if count == n:
                return num
        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 for your problem:

```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_len):
    return lst[:part1_len], lst[part1_len:]
```

--------------------------------------------------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/264--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 a dog's age in dog's years.
>>> Test Cases:
assert dog_age(12)==61
assert dog_age(15)==73
assert dog_age(24)==109

### Response:
Here is the Python function to calculate a dog's age in dog's years:

```python
def dog_age(human_years):
    if human_years <= 2:
        return human_years * 10.5
    else:
        return 21 + (human_years - 2) * 4
```

--------------------------------------------------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 4. So, you can use the formula to write a Python function. Here is the code:

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

--------------------------------------------------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(1, 2*n, 2):
        sum += i*i
    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 that solves your problem:

```python
def sum_even_and_even_index(nums,n):
  return sum(num for i, num in enumerate(nums) if num % 2 == 0 and i % 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 solve your problem:

```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):
    binomial_coeff = [0]*(2*n+1)
    binomial_coeff[0] = 1
    for i in range(1, 2*n+1):
        j = min(i, 2*n-i)
        while j >= 0:
            binomial_coeff[j] = binomial_coeff[j] + binomial_coeff[j-1]
            j -= 1
    return sum(binomial_coeff[i] for i in range(0, 2*n+1, 2))
```

--------------------------------------------------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 solve your problem:

```python
def get_Position(arr, n, m):
    # Remove the element at position m
    arr.pop(m)
    # Subtract 1 from n as list indices start from 0
    n -= 1
    # Find the position of the last removed element
    pos = (m % n) if m < n else (m % n) - 1
    # Add 1 to the position as list indices start from 0
    pos += 1
    return pos
```

--------------------------------------------------Mbpp/276--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 cylinder.
>>> Test Cases:
assert volume_cylinder(10,5)==1570.7500000000002
assert volume_cylinder(4,5)==251.32000000000002
assert volume_cylinder(4,10)==502.64000000000004

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

```python
import math

def volume_cylinder(radius, height):
    return math.pi * radius**2 * height
```

--------------------------------------------------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 that filters 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(tup):
    count = 0
    for i in tup:
        if isinstance(i, 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 calculated 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 your problem:

```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 that checks whether all items of a list are equal to a given string:

```python
def check_element(lst, string):
    return all(el == string 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 i in range(n):
        # Add the current element to the current sum
        cur_sum += arr[i]
        
        # If the current sum is greater than the maximum sum, update the maximum sum
        if cur_sum > max_sum:
            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 for your problem:

```python
def modular_inverse(arr, n, p):
    count = 0
    for i in range(n):
        if pow(arr[i], p-2, p) == arr[i]:
            count += 1
    return count
```

--------------------------------------------------Mbpp/289--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 number of odd days in a given year.
>>> Test Cases:
assert odd_Days(100) == 5
assert odd_Days(50) ==6
assert odd_Days(75) == 2

### Response:
Here is the Python function to calculate the number of odd days in a given year:

```python
def odd_Days(year):
    if year % 4 == 0:
        if year % 100 == 0:
            if year % 400 == 0:
                return 5
            else:
                return 4
        else:
            return 5
    else:
        return 4
```

--------------------------------------------------Mbpp/290--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 of lists with maximum length.
>>> Test Cases:
assert max_length([[0], [1, 3], [5, 7], [9, 11], [13, 15, 17]])==(3, [13, 15, 17])
assert max_length([[1], [5, 7], [10, 12, 14,15]])==(4, [10, 12, 14,15])
assert max_length([[5], [15,20,25]])==(3, [15,20,25])

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

```python
def max_length(lst):
    max_len = max(len(sublist) for sublist in lst)
    for sublist in lst:
        if len(sublist) == max_len:
            return max_len, sublist
```

--------------------------------------------------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 the 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]*k for _ in range(n+1)]
    for i in range(1, n+1):
        dp[i][0] = k
        if i == 2:
            dp[i][1] = k
        else:
            dp[i][1] = dp[i-1][0] + dp[i-1][1]
        for j in range(2, k):
            dp[i][j] = (dp[i-1][j-1] + dp[i-2][j-1]) * (k-j+1)

    return sum(dp[n])
```

--------------------------------------------------Mbpp/292--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 quotient of two numbers.
>>> Test Cases:
assert find(10,3) == 3
assert find(4,2) == 2
assert find(20,5) == 4

### Response:
Here is the Python function to find the quotient of two numbers:

```python
def find(num1, num2):
    return num1 // num2
```

--------------------------------------------------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 find 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):
    result = []
    for nested_list in nested_lists:
        intersection = [value for value in nested_list if value in main_list]
        result.append(intersection)
    return result
```

--------------------------------------------------Mbpp/299--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 maximum aggregate from the list of tuples.
>>> Test Cases:
assert max_aggregate([('Juan Whelan',90),('Sabah Colley',88),('Peter Nichols',7),('Juan Whelan',122),('Sabah Colley',84)])==('Juan Whelan', 212)
assert max_aggregate([('Juan Whelan',50),('Sabah Colley',48),('Peter Nichols',37),('Juan Whelan',22),('Sabah Colley',14)])==('Juan Whelan', 72)
assert max_aggregate([('Juan Whelan',10),('Sabah Colley',20),('Peter Nichols',30),('Juan Whelan',40),('Sabah Colley',50)])==('Sabah Colley', 70)

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

```python
def max_aggregate(lst):
    scores = {}
    for name, score in lst:
        if name in scores:
            scores[name] += score
        else:
            scores[name] = score
    max_score = max(scores.values())
    for name, score in scores.items():
        if score == max_score:
            return (name, score)
```

--------------------------------------------------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 your 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]
```

--------------------------------------------------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 that calculates 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):
    binary = bin(n)[2:]  # Convert to binary and remove '0b' prefix
    significant_bits = [2**i for i in range(len(binary)-1, -1, -1)]
    for bit in significant_bits:
        if bit & n:
            return bit
```

--------------------------------------------------Mbpp/303--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 inversion of two types are same or not.
>>> Test Cases:
assert solve([1,0,2],3) == True
assert solve([1,2,0],3) == False
assert solve([1,2,1],3) == True

### Response:
Here is the Python function to check whether the count of inversion of two types are same or not:

```python
def solve(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 % 2 == 0
```

--------------------------------------------------Mbpp/304--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 element at a given index after number of rotations.
>>> Test Cases:
assert find_Element([1,2,3,4,5],[[0,2],[0,3]],2,1) == 3
assert find_Element([1,2,3,4],[[0,1],[0,2]],1,2) == 3
assert find_Element([1,2,3,4,5,6],[[0,1],[0,2]],1,1) == 1

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

```python
def find_Element(arr, rotations, index, k):
    for rotation in rotations:
        arr = arr[rotation[0]:] + arr[:rotation[0]]
    return arr[index]
```

--------------------------------------------------Mbpp/305--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to match two words from a list of words starting with letter 'p'.
>>> Test Cases:
assert start_withp(["Python PHP", "Java JavaScript", "c c++"])==('Python', 'PHP')
assert start_withp(["Python Programming","Java Programming"])==('Python','Programming')
assert start_withp(["Pqrst Pqr","qrstuv"])==('Pqrst','Pqr')

### Response:
Here is the Python function that matches two words from a list of words starting with letter 'p':

```python
def start_withp(words):
    pair = ()
    for word in words:
        if word.startswith('P'):
            if not pair:
                pair += (word,)
            else:
                pair += (word.split()[1],)
    return pair
```

--------------------------------------------------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 to solve your problem:

```python
def max_sum_increasing_subseq(arr, n, i, k):
    dp = [0]*n
    dp[i] = arr[i]
    max_sum = dp[i]
    for j in range(i+1, n):
        for l in range(i, j):
            if arr[l] < arr[j]:
                dp[j] = max(dp[j], dp[l]+arr[j])
        max_sum = max(max_sum, dp[j])
    max_sum += 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(tuplex, position, value):
    tuplex_list = list(tuplex)
    tuplex_list[position] = [value]
    return tuple(tuplex_list)
```

--------------------------------------------------Mbpp/308--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 specified number of largest products from two given lists.
>>> Test Cases:
assert large_product([1, 2, 3, 4, 5, 6],[3, 6, 8, 9, 10, 6],3)==[60, 54, 50]
assert large_product([1, 2, 3, 4, 5, 6],[3, 6, 8, 9, 10, 6],4)==[60, 54, 50, 48]
assert large_product([1, 2, 3, 4, 5, 6],[3, 6, 8, 9, 10, 6],5)==[60, 54, 50, 48, 45]

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

```python
import itertools
import heapq

def large_product(list1, list2, k):
    products = []
    for pair in itertools.product(list1, list2):
        products.append(pair[0]*pair[1])
    return heapq.nlargest(k, products)
```

--------------------------------------------------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 | (n + 1)
```

--------------------------------------------------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/314--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 maximum sum such that no two chosen numbers are adjacent for the given rectangular grid of dimension 2 x n.
>>> Test Cases:
assert max_sum_rectangular_grid([ [1, 4, 5], [2, 0, 0 ] ], 3) == 7
assert max_sum_rectangular_grid([ [ 1, 2, 3, 4, 5], [ 6, 7, 8, 9, 10] ], 5) == 24
assert max_sum_rectangular_grid([ [7, 9, 11, 15, 19], [21, 25, 28, 31, 32] ], 5) == 81

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

```python
def max_sum_rectangular_grid(grid, n):
    for row in grid:
        if len(row) != n:
            raise ValueError("All rows must have the same length")

    if len(grid) != 2:
        raise ValueError("Grid must have 2 rows")

    dp = [[0]*n for _ in range(2)]
    dp[0][0] = max(grid[0][0], grid[1][0])
    dp[1][0] = min(grid[0][0], grid[1][0])

    for j in range(1, n):
        dp[0][j] = max(dp[0][j-1], dp[1][j-1]+grid[0][j], dp[1][j-1]+grid[1][j])
        dp[1][j] = max(dp[1][j-1], dp[0][j-1]+grid[0][j], dp[0][j-1]+grid[1][j])

    return dp[0][-1]
```

--------------------------------------------------Mbpp/315--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 maximum length of even word.
>>> Test Cases:
assert find_Max_Len_Even("python language") == "language"
assert find_Max_Len_Even("maximum even length") == "length"
assert find_Max_Len_Even("eve") == "-1"

### Response:
Here is the Python function to find the first maximum length of even word:

```python
def find_Max_Len_Even(sentence):
    words = sentence.split()
    even_words = [word for word in words if len(word) % 2 == 0]
    if not even_words:
        return "-1"
    max_len_word = max(even_words, key=len)
    return max_len_word
```

--------------------------------------------------Mbpp/316--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 last occurrence of a given number in a sorted array.
>>> Test Cases:
assert find_last_occurrence([2, 5, 5, 5, 6, 6, 8, 9, 9, 9], 5) == 3
assert find_last_occurrence([2, 3, 5, 8, 6, 6, 8, 9, 9, 9], 9) == 9
assert find_last_occurrence([2, 2, 1, 5, 6, 6, 6, 9, 9, 9], 6) == 6

### Response:
Here is the Python function to find the index of the last occurrence of a given number in a sorted array:

```python
def find_last_occurrence(arr, num):
    try:
        return len(arr) - 1 - arr[::-1].index(num)
    except ValueError:
        return "Number not found in the array"
```

--------------------------------------------------Mbpp/317--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to reflect the modified run-length encoding from a list.
>>> Test Cases:
assert modified_encode([1,1,2,3,4,4,5,1])==[[2, 1], 2, 3, [2, 4], 5, 1]
assert modified_encode('automatically')==['a', 'u', 't', 'o', 'm', 'a', 't', 'i', 'c', 'a', [2, 'l'], 'y']
assert modified_encode('python')==['p', 'y', 't', 'h', 'o', 'n']

### Response:
Here is a Python function that implements the modified run-length encoding:

```python
def modified_encode(lst):
    result = []
    i = 0
    while i < len(lst):
        count = 1
        while i + 1 < len(lst) and lst[i] == lst[i + 1]:
            i += 1
            count += 1
        if count > 1:
            result.append([2, lst[i]])
        else:
            result.append(lst[i])
        i += 1
    return result
```

--------------------------------------------------Mbpp/318--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 volume of a cuboid with given sum of sides.
>>> Test Cases:
assert max_volume(8) == 18
assert max_volume(4) == 2
assert max_volume(1) == 0

### Response:
The maximum volume of a cuboid can be calculated using the formula for the volume of a cuboid which is given by:

Volume = a * b * c

where a, b, and c are the lengths of the sides of the cuboid.

Since the sum of the sides of the cuboid is given, we can rearrange the formula to solve for one of the sides:

a = (sum - b - c) / 3

where b and c are the lengths of the other two sides.

The maximum volume of a cuboid can be found by maximizing the volume, which is given by:

Volume = (sum - b - c) * b * c

where b and c are the lengths of the other two sides.

Here is the Python function that implements this:

```python
def max_volume(sum):
    max_vol = 0
    for b in range(1, sum // 2 + 1):
        for c in range(b, (sum - b) // 2 + 1):
            a = sum - b - c
            vol = a * b * c
            if vol > max_vol:
                max_vol = vol
    return max_vol
```

--------------------------------------------------Mbpp/319--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 five characters long word in the given string by using regex.
>>> Test Cases:
assert find_long_word('Please move back to strem') == ['strem']
assert find_long_word('4K Ultra HD streaming player') == ['Ultra']
assert find_long_word('Streaming Media Player') == ['Media']

### Response:
Here is the Python function using regex to find all five characters long word in the given string:

```python
import re

def find_long_word(s):
    return re.findall(r'\b\w{5}\b', s)
```

--------------------------------------------------Mbpp/320--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 difference between the squared sum of first n natural numbers and the sum of squared first n natural numbers.
>>> Test Cases:
assert sum_difference(12)==5434
assert sum_difference(20)==41230
assert sum_difference(54)==2151270

### Response:
Here is the Python function to calculate the difference between the squared sum of first n natural numbers and the sum of squared first n natural numbers:

```python
def sum_difference(n):
    sum_of_squares = sum([i**2 for i in range(1, n+1)])
    square_of_sum = sum(range(1, n+1))**2
    return abs(sum_of_squares - square_of_sum)
```

--------------------------------------------------Mbpp/321--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 demlo number for the given number.
>>> Test Cases:
assert find_demlo("111111") == '12345654321'
assert find_demlo("1111") == '1234321'
assert find_demlo("13333122222") == '123456789101110987654321'

### Response:
A Demlo number is a number that can be expressed as the concatenation of two mirrored sequences of increasing numbers. The first few Demlo numbers are 12345654321, 1234321, 123456789101110987654321.

Here is the Python function to find the Demlo number for the given number:

```python
def find_demlo(n):
    # Convert the string to a list of characters
    n = list(n)
    # Find the maximum digit
    max_digit = max(n)
    # Initialize the sequences
    seq1 = list(range(1, int(max_digit)+1))
    seq2 = seq1[::-1]
    # Replace the occurrences of the maximum digit with the sequences
    for i in range(n.count(max_digit)):
        idx = n.index(max_digit)
        n[idx:idx+1] = seq1 + seq2
    # Join the list of characters to a string and return
    return ''.join(n)
```

--------------------------------------------------Mbpp/322--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 index positions of the minimum values in a given list.
>>> Test Cases:
assert position_min([12,33,23,10,67,89,45,667,23,12,11,10,54])==[3,11]
assert position_min([1,2,2,2,4,4,4,5,5,5,5])==[0]
assert position_min([2,1,5,6,8,3,4,9,10,11,8,12])==[1]

### Response:
Here is the Python function to find all index positions of the minimum values in a given list:

```python
def position_min(lst):
    min_val = min(lst)
    positions = [i for i, val in enumerate(lst) if val == min_val]
    return positions
```

--------------------------------------------------Mbpp/323--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to re-arrange the given array in alternating positive and negative items.
>>> Test Cases:
assert re_arrange([-5, -2, 5, 2, 4,	7, 1, 8, 0, -8], 10) == [-5, 5, -2, 2, -8, 4, 7, 1, 8, 0]
assert re_arrange([1, 2, 3, -4, -1, 4], 6) == [-4, 1, -1, 2, 3, 4]
assert re_arrange([4, 7, 9, 77, -4, 5, -3, -9], 8) == [-4, 4, -3, 7, -9, 9, 77, 5]

### Response:
Here is a Python function that re-arranges the given array in alternating positive and negative items:

```python
def re_arrange(arr, n):
    positive = [x for x in arr if x >= 0]
    negative = [x for x in arr if x < 0]
    result = []
    for i in range(n//2):
        result.append(positive[i])
        result.append(negative[i])
    return result
```

--------------------------------------------------Mbpp/324--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 sum of alternate chains of tuples.
>>> Test Cases:
assert sum_of_alternates((5, 6, 3, 6, 10, 34)) == (46, 18)
assert sum_of_alternates((1, 2, 3, 4, 5)) == (6, 9)
assert sum_of_alternates((6, 7, 8, 9, 4, 5)) == (21, 18)

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

```python
def sum_of_alternates(tup):
    sum_even = sum(tup[::2])
    sum_odd = sum(tup[1::2])
    return (sum_even, sum_odd)
```

--------------------------------------------------Mbpp/325--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 squares whose sum is equal to a given number.
>>> Test Cases:
assert get_Min_Squares(6) == 3
assert get_Min_Squares(2) == 2
assert get_Min_Squares(4) == 1

### Response:
Here is the Python function to find the minimum number of squares whose sum is equal to a given number:

```python
def get_Min_Squares(n):
    # Create a list to store the minimum number of squares for all numbers up to n
    min_squares = [0, 1, 2, 3] + [0] * (n - 3)

    for i in range(4, n + 1):
        # For each number i, calculate the minimum number of squares by trying all possible j such that j*j <= i
        for j in range(1, int(i ** 0.5) + 1):
            min_squares[i] = min(min_squares[i], 1 + min_squares[i - j * j])

    return min_squares[n]
```

--------------------------------------------------Mbpp/326--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 word with most number of occurrences in the given strings list.
>>> Test Cases:
assert most_occurrences(["UTS is best for RTF", "RTF love UTS", "UTS is best"] ) == 'UTS'
assert most_occurrences(["Its been a great year", "this year is so worse", "this year is okay"] ) == 'year'
assert most_occurrences(["Families can be reunited", "people can be reunited", "Tasks can be achieved "] ) == 'can'

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

```python
from collections import Counter
import re

def most_occurrences(strings):
    word_counts = Counter(re.findall(r'\b\w+\b', ' '.join(strings)))
    return word_counts.most_common(1)[0][0]
```

--------------------------------------------------Mbpp/327--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to print check if the triangle is isosceles or not.
>>> Test Cases:
assert check_isosceles(6,8,12)==False 
assert check_isosceles(6,6,12)==True
assert check_isosceles(6,16,20)==False

### Response:
Here is the Python function to check if a triangle is isosceles or not:

```python
def check_isosceles(a, b, c):
    # A triangle is isosceles if two sides are equal
    return a == b or b == c or c == a
```

--------------------------------------------------Mbpp/328--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 left direction.
>>> Test Cases:
assert rotate_left([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],3,4)==[4, 5, 6, 7, 8, 9, 10, 1, 2, 3, 4]
assert rotate_left([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],2,2)==[3, 4, 5, 6, 7, 8, 9, 10, 1, 2]
assert rotate_left([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],5,2)==[6, 7, 8, 9, 10, 1, 2]

### Response:
Here is the Python function to rotate a given list by specified number of items to the left direction:

```python
def rotate_left(lst, k, repeat):
    for _ in range(repeat):
        lst = lst[k:] + lst[:k]
    return lst
```

--------------------------------------------------Mbpp/329--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 negative numbers in a list.
>>> Test Cases:
assert neg_count([-1,-2,3,-4,-5]) == 4
assert neg_count([1,2,3]) == 0
assert neg_count([1,2,-3,-10,20]) == 2

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

```python
def neg_count(nums):
    return sum(1 for num in nums if num < 0)
```

--------------------------------------------------Mbpp/330--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 three, four, five characters long words in the given string by using regex.
>>> Test Cases:
assert find_char('For the four consumer complaints contact manager AKR reddy') == ['For', 'the', 'four', 'AKR', 'reddy']
assert find_char('Certain service are subject to change MSR') == ['are', 'MSR']
assert find_char('Third party legal desclaimers') == ['Third', 'party', 'legal']

### Response:
Here is the Python function using regex to find all three, four, five characters long words in the given string:

```python
import re

def find_char(s):
    pattern = r'\b\w{3,5}\b'
    return re.findall(pattern, s)
```

--------------------------------------------------Mbpp/331--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 unset bits of a given number.
>>> Test Cases:
assert count_unset_bits(2) == 1
assert count_unset_bits(4) == 2
assert count_unset_bits(6) == 1

### Response:
Here is the Python function to count unset bits of a given number:

```python
def count_unset_bits(n):
    return bin(n).count('0') - 1
```

--------------------------------------------------Mbpp/332--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 character frequency of a given string.
>>> Test Cases:
assert char_frequency('python')=={'p': 1, 'y': 1, 't': 1, 'h': 1, 'o': 1, 'n': 1}
assert char_frequency('program')=={'p': 1, 'r': 2, 'o': 1, 'g': 1, 'a': 1, 'm': 1}
assert char_frequency('language')=={'l': 1, 'a': 2, 'n': 1, 'g': 2, 'u': 1, 'e': 1}

### Response:
Here is the Python function to count character frequency of a given string:

```python
def char_frequency(string):
    freq_dict = {}
    for char in string:
        if char in freq_dict:
            freq_dict[char] += 1
        else:
            freq_dict[char] = 1
    return freq_dict
```

--------------------------------------------------Mbpp/333--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 sort a list according to the second element in sublist.
>>> Test Cases:
assert Sort([['a', 10], ['b', 5], ['c', 20], ['d', 15]]) == [['b', 5], ['a', 10], ['d', 15], ['c', 20]]
assert Sort([['452', 10], ['256', 5], ['100', 20], ['135', 15]]) == [['256', 5], ['452', 10], ['135', 15], ['100', 20]]
assert Sort([['rishi', 10], ['akhil', 5], ['ramya', 20], ['gaur', 15]]) == [['akhil', 5], ['rishi', 10], ['gaur', 15], ['ramya', 20]]

### Response:
Here is the Python function to sort a list according to the second element in sublist:

```python
def Sort(lst):
    return sorted(lst, key=lambda x: x[1])
```

--------------------------------------------------Mbpp/334--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 sides are given.
>>> Test Cases:
assert check_Validity(1,2,3) == False
assert check_Validity(2,3,5) == False
assert check_Validity(7,10,5) == True

### Response:
Here is the Python function to check whether the triangle is valid or not if sides are given:

```python
def check_Validity(a, b, c):
    # A triangle is valid if the sum of any two sides is greater than the third side
    if (a + b > c) and (a + c > b) and (b + c > a):
        return True
    else:
        return False
```

--------------------------------------------------Mbpp/335--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 sum of arithmetic progression.
>>> Test Cases:
assert ap_sum(1,5,2)==25
assert ap_sum(2,6,4)==72
assert ap_sum(1,4,5)==34

### Response:
Here is the Python function to find the sum of an arithmetic progression:

```python
def ap_sum(a, d, n):
    return n / 2 * ((2 * a) + (n - 1) * d)
```

--------------------------------------------------Mbpp/336--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 name contains 28 days or not.
>>> Test Cases:
assert check_monthnum("February")==True
assert check_monthnum("January")==False
assert check_monthnum("March")==False

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

```python
def check_monthnum(month):
    thirty_one_days_months = ["January", "March", "May", "July", "August", "October", "December"]
    return month in thirty_one_days_months
```

--------------------------------------------------Mbpp/337--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as 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 at the end of a string, with optional punctuation.
>>> Test Cases:
assert text_match_word("python.")==('Found a match!')
assert text_match_word("python.")==('Found a match!')
assert text_match_word("  lang  .")==('Not matched!')

### Response:
Here is the Python function that matches a word at the end of a string, with optional punctuation:

```python
import re

def text_match_word(text):
    if re.search(r'\bpython[.,]*\b', text.strip()):
        return 'Found a match!'
    else:
        return 'Not matched!'
```

--------------------------------------------------Mbpp/338--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 substrings with same first and last characters.
>>> Test Cases:
assert count_Substring_With_Equal_Ends('aba') == 4
assert count_Substring_With_Equal_Ends('abcab') == 7
assert count_Substring_With_Equal_Ends('abc') == 3

### Response:
Here is the Python function to count the number of substrings with same first and last characters:

```python
def count_Substring_With_Equal_Ends(s):
    count = 0
    for i in range(len(s)):
        for j in range(i+1, len(s)+1):
            if s[i] == s[j-1]:
                count += 1
    return count
```

--------------------------------------------------Mbpp/339--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 occuring divisor in an interval.
>>> Test Cases:
assert find_Divisor(2,2) == 2
assert find_Divisor(2,5) == 2
assert find_Divisor(5,10) == 2

### Response:
Here is the Python function to find the maximum occuring divisor in an interval:

```python
def find_Divisor(start, end):
    divisors = []
    for i in range(start, end+1):
        for j in range(1, i+1):
            if i % j == 0:
                divisors.append(j)
    max_divisor = max(set(divisors), key = divisors.count)
    return max_divisor
```

--------------------------------------------------Mbpp/340--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 three lowest positive numbers from a given list of numbers.
>>> Test Cases:
assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37
assert sum_three_smallest_nums([1,2,3,4,5]) == 6
assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6

### Response:
Here is the Python function to find the sum of the three lowest positive numbers from a given list of numbers:

```python
def sum_three_smallest_nums(nums):
    # Filter out non-positive numbers and sort the remaining numbers
    sorted_nums = sorted([num for num in nums if num > 0])
    # Check if there are at least three numbers
    if len(sorted_nums) >= 3:
        # Return the sum of the first three numbers
        return sum(sorted_nums[:3])
    else:
        # Return 0 if there are less than three numbers
        return 0
```

--------------------------------------------------Mbpp/341--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 set into ordered tuples.
>>> Test Cases:
assert set_to_tuple({1, 2, 3, 4, 5}) == (1, 2, 3, 4, 5)
assert set_to_tuple({6, 7, 8, 9, 10, 11}) == (6, 7, 8, 9, 10, 11)
assert set_to_tuple({12, 13, 14, 15, 16}) == (12, 13, 14, 15, 16)

### Response:
Here is the Python function to convert the given set into ordered tuples:

```python
def set_to_tuple(input_set):
    return tuple(sorted(input_set))
```

--------------------------------------------------Mbpp/342--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 smallest range that includes at-least one element from each of the given arrays.
>>> Test Cases:
assert find_minimum_range([[3, 6, 8, 10, 15], [1, 5, 12], [4, 8, 15, 16], [2, 6]]) == (4, 6)
assert find_minimum_range([[ 2, 3, 4, 8, 10, 15 ], [1, 5, 12], [7, 8, 15, 16], [3, 6]]) == (4, 7)
assert find_minimum_range([[4, 7, 9, 11, 16], [2, 6, 13], [5, 9, 16, 17], [3, 7]]) == (5, 7)

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

```python
import heapq

def find_minimum_range(arrays):
    min_heap = []
    max_val = float('-inf')

    # Push the first element of each array into the heap
    for array in arrays:
        val = array.pop(0)
        heapq.heappush(min_heap, (val, array))
        max_val = max(max_val, val)

    range_start = min_heap[0][0]
    range_end = float('inf')

    # While the heap is not empty
    while len(min_heap) == len(arrays):
        _, remaining_array = heapq.heappop(min_heap)
        if not remaining_array:
            return (range_start, range_end)
        next_val = remaining_array.pop(0)
        heapq.heappush(min_heap, (next_val, remaining_array))
        max_val = max(max_val, next_val)

        # Update the minimum range
        if max_val - min_heap[0][0] < range_end - range_start:
            range_start, range_end = min_heap[0][0], max_val

    return (range_start, range_end)
```

--------------------------------------------------Mbpp/343--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 number of digits and letters in a string.
>>> Test Cases:
assert dig_let("python")==(6,0)
assert dig_let("program")==(7,0)
assert dig_let("python3.0")==(6,2)

### Response:
Here is the Python function to calculate the number of digits and letters in a string:

```python
def dig_let(s):
    digits = 0
    letters = 0
    for char in s:
        if char.isdigit():
            digits += 1
        elif char.isalpha():
            letters += 1
    return (len(s), digits)
```

--------------------------------------------------Mbpp/344--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 elements with odd factors in a given range.
>>> Test Cases:
assert count_Odd_Squares(5,100) == 8
assert count_Odd_Squares(8,65) == 6
assert count_Odd_Squares(2,5) == 1

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

```python
def count_Odd_Squares(start, end):
    count = 0
    for i in range(start, end+1):
        factors = 0
        for j in range(1, int(i**0.5)+1):
            if i % j == 0:
                if i / j == j:
                    factors += 1
                else:
                    factors += 2
        if factors % 2 != 0:
            count += 1
    return count
```

--------------------------------------------------Mbpp/345--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 between two consecutive numbers in a given list.
>>> Test Cases:
assert diff_consecutivenums([1, 1, 3, 4, 4, 5, 6, 7])==[0, 2, 1, 0, 1, 1, 1]
assert diff_consecutivenums([4, 5, 8, 9, 6, 10])==[1, 3, 1, -3, 4]
assert diff_consecutivenums([0, 1, 2, 3, 4, 4, 4, 4, 5, 7])==[1, 1, 1, 1, 0, 0, 0, 1, 2]

### Response:
Here is the Python function to find the difference between two consecutive numbers in a given list:

```python
def diff_consecutivenums(nums):
    return [nums[i+1]-nums[i] for i in range(len(nums)-1)]
```

--------------------------------------------------Mbpp/346--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 entringer number e(n, k).
>>> Test Cases:
assert zigzag(4, 3) == 5
assert zigzag(4, 2) == 4
assert zigzag(3, 1) == 1

### Response:
The function to find entringer number e(n, k) is not a standard mathematical function. However, it can be defined as the number of ways to arrange k+1 labeled balls in n boxes, where the balls can be moved from one box to another. This is a variation of the Stirling numbers of the second kind.

Here is a Python function that calculates the Stirling numbers of the second kind:

```python
def zigzag(n, k):
    if n == 0 or k == 0:
        return 0
    if n == 1 or k == 1:
        return 1
    return zigzag(n - 1, k) + zigzag(n - 1, k - 1)
```

--------------------------------------------------Mbpp/347--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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(1,2) == 2
assert count_Squares(2,2) == 5

### 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/348--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 sequences of given length having non-negative prefix sums that can be generated by given values.
>>> Test Cases:
assert find_ways(4) == 2
assert find_ways(6) == 5
assert find_ways(8) == 14

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

```python
def find_ways(n):
    if n <= 0:
        return 0
    dp = [0] * (n + 1)
    dp[0] = dp[1] = 1
    for i in range(2, n + 1):
        dp[i] = dp[i - 1] + dp[i - 2]
    return dp[n]
```

--------------------------------------------------Mbpp/349--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 string is a binary string or not.
>>> Test Cases:
assert check("01010101010") == "Yes"
assert check("name0") == "No"
assert check("101") == "Yes"

### Response:
Here is the Python function to check whether the given string is a binary string or not:

```python
def check(s):
    for char in s:
        if char not in ['0', '1']:
            return "No"
    return "Yes"
```

--------------------------------------------------Mbpp/350--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 minimize the length of the string by removing occurrence of only one character.
>>> Test Cases:
assert minimum_Length("mnm") == 1
assert minimum_Length("abcda") == 3
assert minimum_Length("abcb") == 2

### Response:
Here is the Python function to minimize the length of the string by removing occurrence of only one character:

```python
def minimum_Length(s):
    for i in range(len(s)):
        if s[:i] + s[i+1:] == s[:i] + s[i+1:][::-1]:
            return len(s[:i] + s[i+1:])
    return len(s)
```

--------------------------------------------------Mbpp/351--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 element occurring k times in a given array.
>>> Test Cases:
assert first_Element([0,1,2,3,4,5],6,1) == 0
assert first_Element([1,2,1,3,4],5,2) == 1
assert first_Element([2,3,4,3,5,7,1,2,3,5],10,2) == 2

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

```python
def first_Element(arr, n, k):
    count_map = {}
    for i in range(n):
        if arr[i] in count_map:
            count_map[arr[i]][0] += 1
            if count_map[arr[i]][0] == k:
                return arr[i]
        else:
            count_map[arr[i]] = [1, i]
    return -1
```

--------------------------------------------------Mbpp/352--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 in a given string are unique.
>>> Test Cases:
assert unique_Characters('aba') == False
assert unique_Characters('abc') == True
assert unique_Characters('abab') == False

### Response:
Here is the Python function to check whether all the characters in a given string are unique:

```python
def unique_Characters(str):
    return len(str) == len(set(str))
```

--------------------------------------------------Mbpp/353--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 a specified column from a given nested list.
>>> Test Cases:
assert remove_column([[1, 2, 3], [2, 4, 5], [1, 1, 1]],0)==[[2, 3], [4, 5], [1, 1]]
assert remove_column([[1, 2, 3], [-2, 4, -5], [1, -1, 1]],2)==[[1, 2], [-2, 4], [1, -1]]
assert remove_column([[1, 3], [5, 7], [1, 3], [13, 15, 17], [5, 7], [9, 11]],0)==[[3], [7], [3], [15, 17], [7], [11]]

### Response:
Here is the Python function to remove a specified column from a given nested list:

```python
def remove_column(lst, col):
    return [row[:col] + row[col+1:] for row in lst]
```

--------------------------------------------------Mbpp/354--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 t-nth term of arithemetic progression.
>>> Test Cases:
assert tn_ap(1,5,2)==9
assert tn_ap(2,6,4)==22
assert tn_ap(1,4,5)==16

### Response:
Here is the Python function to find the t-nth term of an arithmetic progression:

```python
def tn_ap(a, d, n):
    return a + (n - 1) * d
```

--------------------------------------------------Mbpp/355--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 rectangles in a circle of radius r.
>>> Test Cases:
assert count_Rectangles(2) == 8
assert count_Rectangles(1) == 1
assert count_Rectangles(0) == 0

### Response:
The number of rectangles that can be inscribed in a circle of radius r can be calculated using the formula:

4 * (pi * r^2)

Here is the Python function:

```python
import math

def count_Rectangles(r):
    return 4 * (math.pi * r**2)
```

--------------------------------------------------Mbpp/356--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 angle of a triangle using two angles.
>>> Test Cases:
assert find_angle(47,89)==44
assert find_angle(45,95)==40
assert find_angle(50,40)==90

### Response:
Here is the Python function to find the third angle of a triangle using two angles:

```python
def find_angle(angle1, angle2):
    return 180 - angle1 - angle2
```

--------------------------------------------------Mbpp/357--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 element of all the given tuple records.
>>> Test Cases:
assert find_max([(2, 4), (6, 7), (5, 1), (6, 10), (8, 7)]) == 10
assert find_max([(3, 5), (7, 8), (6, 2), (7, 11), (9, 8)]) == 11
assert find_max([(4, 6), (8, 9), (7, 3), (8, 12), (10, 9)]) == 12

### Response:
Here is the Python function to find the maximum element of all the given tuple records:

```python
def find_max(records):
    return max(max(record) for record in records)
```

--------------------------------------------------Mbpp/358--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 modulo division of two lists using map and lambda function.
>>> Test Cases:
assert moddiv_list([4,5,6],[1, 2, 3])==[0, 1, 0]
assert moddiv_list([3,2],[1,4])==[0, 2]
assert moddiv_list([90,120],[50,70])==[40, 50]

### Response:
Here is the Python function that uses map and lambda function to find modulo division of two lists:

```python
def moddiv_list(list1, list2):
    return list(map(lambda x, y: x % y, list1, list2))
```

--------------------------------------------------Mbpp/359--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 one root of the quadratic equation is twice of the other or not.
>>> Test Cases:
assert Check_Solution(1,3,2) == "Yes"
assert Check_Solution(1,2,3) == "No"
assert Check_Solution(1,-5,6) == "No"

### Response:
Here is the Python function to check whether one root of the quadratic equation is twice of the other or not:

```python
def Check_Solution(a, b, c):
    # Calculate the discriminant
    discriminant = b**2 - 4*a*c

    # If the discriminant is negative, there are no real roots
    if discriminant < 0:
        return "No"

    # Calculate the two roots
    root1 = (-b + discriminant**0.5) / (2*a)
    root2 = (-b - discriminant**0.5) / (2*a)

    # Check if one root is twice the other
    if root1 == 2*root2 or root2 == 2*root1:
        return "Yes"
    else:
        return "No"
```

--------------------------------------------------Mbpp/360--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 carol number.
>>> Test Cases:
assert get_carol(2) == 7
assert get_carol(4) == 223
assert get_carol(5) == 959

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

C(n) = 4n^2 - n - 1

Here is the Python function:

```python
def get_carol(n):
    return 4 * n**2 - n - 1
```

--------------------------------------------------Mbpp/361--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 empty lists from a given list of lists.
>>> Test Cases:
assert remove_empty([[], [], [], 'Red', 'Green', [1,2], 'Blue', [], []])==['Red', 'Green', [1, 2], 'Blue']
assert remove_empty([[], [], [],[],[], 'Green', [1,2], 'Blue', [], []])==[ 'Green', [1, 2], 'Blue']
assert remove_empty([[], [], [], 'Python',[],[], 'programming', 'language',[],[],[], [], []])==['Python', 'programming', 'language']

### Response:
Here is the Python function to remove empty lists from a given list of lists:

```python
def remove_empty(lst):
    return [item for item in lst if item != []]
```

--------------------------------------------------Mbpp/362--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 item with maximum occurrences in a given list.
>>> Test Cases:
assert max_occurrences([1,2,3,1,2,3,12,4,2]) ==  2
assert max_occurrences([1,2,6,7,0,1,0,1,0]) == 1,0
assert max_occurrences([1,2,3,1,2,4,1]) == 1

### Response:
Here is the Python function to find the item with maximum occurrences in a given list:

```python
from collections import Counter

def max_occurrences(lst):
    counter = Counter(lst)
    max_count = max(counter.values())
    return [item for item, count in counter.items() if count == max_count]
```

--------------------------------------------------Mbpp/363--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 k elements to each element in the tuple.
>>> Test Cases:
assert add_K_element([(1, 3, 4), (2, 4, 6), (3, 8, 1)], 4) == [(5, 7, 8), (6, 8, 10), (7, 12, 5)]
assert add_K_element([(1, 2, 3), (4, 5, 6), (7, 8, 9)], 8) == [(9, 10, 11), (12, 13, 14), (15, 16, 17)]
assert add_K_element([(11, 12, 13), (14, 15, 16), (17, 18, 19)], 9) == [(20, 21, 22), (23, 24, 25), (26, 27, 28)]

### Response:
Here is the Python function to add k elements to each element in the tuple:

```python
def add_K_element(tuples, k):
    result = []
    for t in tuples:
        new_tuple = tuple(map(lambda x: x + k, t))
        result.append(new_tuple)
    return result
```

--------------------------------------------------Mbpp/364--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 flips required to make the given binary string a sequence of alternate characters.
>>> Test Cases:
assert min_flip_to_make_string_alternate("0001010111") == 2
assert min_flip_to_make_string_alternate("001") == 1
assert min_flip_to_make_string_alternate("010111011") == 2 

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

```python
def min_flip_to_make_string_alternate(s):
    # Initialize counters for 0s and 1s
    zero_counter, one_counter = 0, 0
    # Initialize counters for flips
    flip_zero, flip_one = 0, 0

    for char in s:
        # If character is 0, increment zero_counter and flip_one
        if char == '0':
            zero_counter += 1
            if zero_counter % 2 == 1:
                flip_zero += 1
        # If character is 1, increment one_counter and flip_zero
        else:
            one_counter += 1
            if one_counter % 2 == 1:
                flip_one += 1

    # Return the minimum of flip_zero and flip_one
    return min(flip_zero, flip_one)
```

--------------------------------------------------Mbpp/365--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 digits of a given number.
>>> Test Cases:
assert count_Digit(12345) == 5
assert count_Digit(11223305) == 8
assert count_Digit(4123459) == 7

### Response:
Here is the Python function to count the number of digits of a given number:

```python
def count_Digit(n):
    return len(str(n))
```

--------------------------------------------------Mbpp/366--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 product of the pair of adjacent elements from a given list of integers.
>>> Test Cases:
assert adjacent_num_product([1,2,3,4,5,6]) == 30
assert adjacent_num_product([1,2,3,4,5]) == 20
assert adjacent_num_product([2,3]) == 6

### Response:
Here is the Python function to find the largest product of the pair of adjacent elements from a given list of integers:

```python
def adjacent_num_product(nums):
    return max(nums[i] * nums[i + 1] for i in range(len(nums) - 1))
```

--------------------------------------------------Mbpp/367--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 binary tree is balanced or not.
>>> Test Cases:
assert is_tree_balanced(root) == False
assert is_tree_balanced(root1) == True
assert is_tree_balanced(root2) == False 

### Response:
To solve this problem, you can use a depth-first search (DFS) approach. For each node, calculate the height of its left and right subtrees. If the absolute difference between the heights is more than 1, then the tree is not balanced. If the difference is less than or equal to 1, then the tree is balanced.

Here is the Python code:

```python
class Node:
    def __init__(self, data):
        self.data = data
        self.left = None
        self.right = None

def height(node):
    if node is None:
        return 0
    return max(height(node.left), height(node.right)) + 1

def is_tree_balanced(root):
    if root is None:
        return True
    left_height = height(root.left)
    right_height = height(root.right)
    return abs(left_height - right_height) <= 1 and is_tree_balanced(root.left) and is_tree_balanced(root.right)
```

--------------------------------------------------Mbpp/368--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to repeat the given tuple n times.
>>> Test Cases:
assert repeat_tuples((1, 3), 4) == ((1, 3), (1, 3), (1, 3), (1, 3))
assert repeat_tuples((1, 2), 3) == ((1, 2), (1, 2), (1, 2))
assert repeat_tuples((3, 4), 5) == ((3, 4), (3, 4), (3, 4), (3, 4), (3, 4))

### Response:
Here is the Python function to repeat the given tuple n times:

```python
def repeat_tuples(test_tup, n):
    return tuple(test_tup for _ in range(n))
```

--------------------------------------------------Mbpp/369--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 cuboid
>>> Test Cases:
assert lateralsurface_cuboid(8,5,6)==156
assert lateralsurface_cuboid(7,9,10)==320
assert lateralsurface_cuboid(10,20,30)==1800

### Response:
Here is the Python function to calculate the lateral surface area of a cuboid:

```python
def lateralsurface_cuboid(length, width, height):
    return 2 * (length * width + width * height + height * length)
```

--------------------------------------------------Mbpp/370--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 tuple by its float element.
>>> Test Cases:
assert float_sort([('item1', '12.20'), ('item2', '15.10'), ('item3', '24.5')])==[('item3', '24.5'), ('item2', '15.10'), ('item1', '12.20')] 
assert float_sort([('item1', '15'), ('item2', '10'), ('item3', '20')])==[('item3', '20'), ('item1', '15'), ('item2', '10')] 
assert float_sort([('item1', '5'), ('item2', '10'), ('item3', '14')])==[('item3', '14'), ('item2', '10'), ('item1', '5')] 

### Response:
Here is the Python function to sort a tuple by its float element:

```python
def float_sort(tuples):
    return sorted(tuples, key=lambda x: float(x[1]), reverse=True)
```

--------------------------------------------------Mbpp/371--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 smallest missing element in a sorted array.
>>> Test Cases:
assert smallest_missing([0, 1, 2, 3, 4, 5, 6], 0, 6) == 7
assert smallest_missing([0, 1, 2, 6, 9, 11, 15], 0, 6) == 3
assert smallest_missing([1, 2, 3, 4, 6, 9, 11, 15], 0, 7) == 0

### Response:
Here is the Python function to find the smallest missing element in a sorted array:

```python
def smallest_missing(arr, low, high):
    if arr[0] != 0:
        return 0
    if arr[-1] != high:
        return high + 1
    for i in range(1, len(arr)):
        if arr[i] != arr[i-1] + 1:
            return arr[i-1] + 1
    return -1
```

--------------------------------------------------Mbpp/372--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 elements in ascending order using heap queue algorithm.
>>> Test Cases:
assert heap_assending([18, 14, 10, 9, 8, 7, 9, 3, 2, 4, 1])==[1, 2, 3, 4, 7, 8, 9, 9, 10, 14, 18]
assert heap_assending([25, 35, 22, 85, 14, 65, 75, 25, 58])==[14, 22, 25, 25, 35, 58, 65, 75, 85]
assert heap_assending([1, 3, 5, 7, 9, 2, 4, 6, 8, 0])==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

### Response:
Here is the Python function to sort a given list of elements in ascending order using heap queue algorithm:

```python
import heapq

def heap_assending(nums):
    heapq.heapify(nums)
    return [heapq.heappop(nums) for _ in range(len(nums))]
```

--------------------------------------------------Mbpp/373--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 cuboid.
>>> Test Cases:
assert volume_cuboid(1,2,3)==6
assert volume_cuboid(5,7,9)==315
assert volume_cuboid(10,15,21)==3150

### Response:
Here is the Python function to calculate the volume of a cuboid:

```python
def volume_cuboid(length, width, height):
    return length * width * height
```

--------------------------------------------------Mbpp/374--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to print all permutations of a given string including duplicates.
>>> Test Cases:
assert permute_string('ab')==['ab', 'ba']
assert permute_string('abc')==['abc', 'bac', 'bca', 'acb', 'cab', 'cba']
assert permute_string('abcd')==['abcd', 'bacd', 'bcad', 'bcda', 'acbd', 'cabd', 'cbad', 'cbda', 'acdb', 'cadb', 'cdab', 'cdba', 'abdc', 'badc', 'bdac', 'bdca', 'adbc', 'dabc', 'dbac', 'dbca', 'adcb', 'dacb', 'dcab', 'dcba']

### Response:
Here is the Python function to print all permutations of a given string including duplicates:

```python
from itertools import permutations

def permute_string(s):
    perms = permutations(s)
    return [''.join(p) for p in perms]
```

--------------------------------------------------Mbpp/375--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 the given number to the nearest multiple of a specific number.
>>> Test Cases:
assert round_num(4722,10)==4720
assert round_num(1111,5)==1110
assert round_num(219,2)==218

### Response:
Here is the Python function to round the given number to the nearest multiple of a specific number:

```python
def round_num(num, multiple):
    return round(num / multiple) * multiple
```

--------------------------------------------------Mbpp/376--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 tuple elements that occur more than once and replace the duplicates with some custom value.
>>> Test Cases:
assert remove_replica((1, 1, 4, 4, 4, 5, 5, 6, 7, 7)) == (1, 'MSP', 4, 'MSP', 'MSP', 5, 'MSP', 6, 7, 'MSP')
assert remove_replica((2, 3, 4, 4, 5, 6, 6, 7, 8, 9, 9)) == (2, 3, 4, 'MSP', 5, 6, 'MSP', 7, 8, 9, 'MSP')
assert remove_replica((2, 2, 5, 4, 5, 7, 5, 6, 7, 7)) == (2, 'MSP', 5, 4, 'MSP', 7, 'MSP', 6, 'MSP', 'MSP')

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

```python
def remove_replica(input_tuple):
    count_dict = {}
    output_list = []
    for element in input_tuple:
        if element in count_dict:
            count_dict[element] += 1
            if count_dict[element] > 1:
                output_list.append('MSP')
        else:
            count_dict[element] = 1
            output_list.append(element)
    return tuple(output_list)
```

--------------------------------------------------Mbpp/377--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 remove all occurrences of a character in a given string.
>>> Test Cases:
assert remove_Char("aba",'a') == "b"
assert remove_Char("toggle",'g') == "tole"
assert remove_Char("aabbc",'b') == "aac"

### Response:
Here is the Python function to remove all occurrences of a character in a given string:

```python
def remove_Char(input_str, char_to_remove):
    return input_str.replace(char_to_remove, '')
```

--------------------------------------------------Mbpp/378--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 shift last element to first position in the given list.
>>> Test Cases:
assert move_first([1,2,3,4]) == [4,1,2,3]
assert move_first([0,1,2,3]) == [3,0,1,2]
assert move_first([9,8,7,1]) == [1,9,8,7]

### Response:
Here is the Python function to shift the last element to the first position in the given list:

```python
def move_first(lst):
    return [lst[-1]] + lst[:-1]
```

--------------------------------------------------Mbpp/379--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 cuboid.
>>> Test Cases:
assert surfacearea_cuboid(1,2,3)==22
assert surfacearea_cuboid(5,7,9)==286
assert surfacearea_cuboid(10,15,21)==1350

### Response:
Here is the Python function to calculate the surface area of a cuboid:

```python
def surfacearea_cuboid(length, width, height):
    surface_area = 2 * (length*width + width*height + height*length)
    return surface_area
```

--------------------------------------------------Mbpp/380--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 two-dimensional array.
>>> Test Cases:
assert multi_list(3,4)==[[0, 0, 0, 0], [0, 1, 2, 3], [0, 2, 4, 6]] 
assert multi_list(5,7)==[[0, 0, 0, 0, 0, 0, 0], [0, 1, 2, 3, 4, 5, 6], [0, 2, 4, 6, 8, 10, 12], [0, 3, 6, 9, 12, 15, 18], [0, 4, 8, 12, 16, 20, 24]]
assert multi_list(10,15)==[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28], [0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42], [0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56], [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70], [0, 6, 12, 18, 24, 30, 36, 42, 48, 54, 60, 66, 72, 78, 84], [0, 7, 14, 21, 28, 35, 42, 49, 56, 63, 70, 77, 84, 91, 98], [0, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112], [0, 9, 18, 27, 36, 45, 54, 63, 72, 81, 90, 99, 108, 117, 126]]

### Response:
Here is the Python function to generate a two-dimensional array as per your requirements:

--------------------------------------------------Mbpp/381--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 lists by a given index of the inner list.
>>> Test Cases:
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]

### Response:
Here is the Python function to sort a list of lists by a given index of the inner list:

```python
def index_on_inner_list(lst, index):
    return sorted(lst, key=lambda x: x[index])
```

--------------------------------------------------Mbpp/382--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 rotations in a circularly sorted array.
>>> Test Cases:
assert find_rotation_count([8, 9, 10, 1, 2, 3, 4, 5, 6, 7]) == 3
assert find_rotation_count([8, 9, 10,2, 5, 6]) == 3
assert find_rotation_count([2, 5, 6, 8, 9, 10]) == 0

### Response:
Here is the Python function to find the number of rotations in a circularly sorted array:

```python
def find_rotation_count(arr):
    n = len(arr)
    low = 0
    high = n - 1

    while low <= high:
        mid = (low + high) // 2

        next_ = (mid + 1) % n
        prev_ = (mid - 1 + n) % n

        if arr[mid] <= arr[next_] and arr[mid] <= arr[prev_]:
            return mid

        if arr[mid] <= arr[high]:
            high = mid - 1
        elif arr[mid] >= arr[low]:
            low = mid + 1

    return -1
```

--------------------------------------------------Mbpp/383--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 all odd bits of a given number.
>>> Test Cases:
assert even_bit_toggle_number(10) == 15
assert even_bit_toggle_number(20) == 1
assert even_bit_toggle_number(30) == 11

### Response:
Here is the Python function to toggle all odd bits of a given number:

```python
def even_bit_toggle_number(n):
    return n ^ 0xAAAAAAAA
```

--------------------------------------------------Mbpp/384--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 the smallest value in a given array.
>>> Test Cases:
assert frequency_Of_Smallest(5,[1,2,3,4,3]) == 1
assert frequency_Of_Smallest(7,[3,1,2,5,6,2,3]) == 1
assert frequency_Of_Smallest(7,[3,3,6,3,7,4,9]) == 3

### Response:
Here is the Python function to find the frequency of the smallest value in a given array:

```python
def frequency_Of_Smallest(n, arr):
    smallest = min(arr)
    frequency = arr.count(smallest)
    return frequency
```

--------------------------------------------------Mbpp/385--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 perrin number using recursion.
>>> Test Cases:
assert get_perrin(9) == 12
assert get_perrin(4) == 2
assert get_perrin(6) == 5

### Response:
Here is the Python function to find the n'th Perrin number using recursion:

```python
def get_perrin(n):
    if n == 0:
        return 3
    elif n == 1:
        return 0
    elif n == 2:
        return 2
    else:
        return get_perrin(n - 1) + get_perrin(n - 2) + get_perrin(n - 3)
```

--------------------------------------------------Mbpp/386--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 minimum no of swaps required for bracket balancing in the given string.
>>> Test Cases:
assert swap_count("[]][][") == 2
assert swap_count("[[][]]") == 0
assert swap_count("[[][]]][") == 1

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

```python
def swap_count(brackets):
    open_br = 0
    swap_count = 0
    unbalanced = 0

    for bracket in brackets:
        if bracket == '[':
            open_br += 1
            if unbalanced > 0:
                swap_count += unbalanced // 2
                unbalanced = 0
        elif bracket == ']':
            if open_br == 0:
                unbalanced += 1
            else:
                open_br -= 1

    swap_count += unbalanced // 2
    if unbalanced % 2 != 0:
        swap_count += 2

    return swap_count
```

--------------------------------------------------Mbpp/387--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 hexadecimal number is even or odd.
>>> Test Cases:
assert even_or_odd("AB3454D") =="Odd"
assert even_or_odd("ABC") == "Even"
assert even_or_odd("AAD") == "Odd"

### Response:
Here is the Python function to check whether the hexadecimal number is even or odd:

```python
def even_or_odd(hex_num):
    hex_to_dec = int(hex_num, 16)
    if hex_to_dec % 2 == 0:
        return "Even"
    else:
        return "Odd"
```

--------------------------------------------------Mbpp/388--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 highest power of 2 that is less than or equal to n.
>>> Test Cases:
assert highest_Power_of_2(10) == 8
assert highest_Power_of_2(19) == 16
assert highest_Power_of_2(32) == 32

### Response:
Here is the Python function to find the highest power of 2 that is less than or equal to n:

```python
def highest_Power_of_2(n):
    power = 1
    while power <= n:
        power *= 2
    return power // 2
```

--------------------------------------------------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:
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_0 = 2
    lucas_1 = 1
    for _ in range(2, n + 1):
        lucas_n = lucas_0 + lucas_1
        lucas_0 = lucas_1
        lucas_1 = lucas_n
    return lucas_1
```

--------------------------------------------------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 solves your problem:

```python
def add_string(lst, s):
    return [s.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 that uses 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))
    return len(max_len_list), max_len_list
```

--------------------------------------------------Mbpp/394--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 given tuple is distinct or not.
>>> Test Cases:
assert check_distinct((1, 4, 5, 6, 1, 4)) == False
assert check_distinct((1, 4, 5, 6)) == True
assert check_distinct((2, 3, 4, 5, 6)) == True

### Response:
Here is the Python function to check if given tuple is distinct or not:

```python
def check_distinct(test_tup):
    if len(test_tup) == len(set(test_tup)):
        return True
    else:
        return False
```

--------------------------------------------------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 i in lst:
        if isinstance(i, int):
            total_sum += sum(int(digit) for digit in str(abs(i)))
    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 that performs 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/400--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 frequency of unique tuples in the given list order irrespective.
>>> Test Cases:
assert extract_freq([(3, 4), (1, 2), (4, 3), (5, 6)] ) == 3
assert extract_freq([(4, 15), (2, 3), (5, 4), (6, 7)] ) == 4
assert extract_freq([(5, 16), (2, 3), (6, 5), (6, 9)] ) == 4

### Response:
Here is the Python function to extract the frequency of unique tuples in the given list order irrespective:

```python
def extract_freq(lst):
    unique_tuples = set(lst)
    return len(unique_tuples)
```

--------------------------------------------------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/402--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 value of ncr%p.
>>> Test Cases:
assert ncr_modp(10,2,13)==6
assert ncr_modp(15,12,43)==25
assert ncr_modp(17,9,18)==10

### Response:
Here is the Python function to compute the value of ncr%p:

```python
def ncr_modp(n, r, p):
    # nCr % p = (n! / ((n-r)! * r!)) % p
    fact = [0]*(n+1)
    fact[0] = 1
    for i in range(1, n+1):
        fact[i] = (fact[i-1]*i) % p
    if r > n:
        return 0
    else:
        return (fact[n]*pow((fact[n-r]*fact[r]) % p, p-2, p)) % p
```

--------------------------------------------------Mbpp/403--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 url is valid or not using regex.
>>> Test Cases:
assert is_valid_URL("https://www.google.com") == True
assert is_valid_URL("https:/www.gmail.com") == False
assert is_valid_URL("https:// www.redit.com") == False

### Response:
Here is the Python function using regex to check if a URL is valid or not:

```python
import re

def is_valid_URL(url):
    regex = re.compile(
        r'^(?:http|ftp)s?://' # http:// or https://
        r'(?:(?:[A-Z0-9](?:[A-Z0-9-]{0,61}[A-Z0-9])?\.)+(?:[A-Z]{2,6}\.?|[A-Z0-9-]{2,}\.?)|' #domain...
        r'localhost|' #localhost...
        r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})' # ...or ip
        r'(?::\d+)?' # optional port
        r'(?:/?|[/?]\S+)$', re.IGNORECASE)
    return re.match(regex, url) is not None
```

--------------------------------------------------Mbpp/404--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 of two numbers.
>>> Test Cases:
assert minimum(1,2) == 1
assert minimum(-5,-4) == -5
assert minimum(0,0) == 0

### Response:
Here is the Python function to find the minimum of two numbers:

```python
def minimum(a, b):
    if a <= b:
        return a
    else:
        return b
```

--------------------------------------------------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_val):
    return test_val 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 solve your problem:

```python
def rearrange_bigger(num):
    num_str = str(num)
    digits = list(num_str)
    for i in range(len(digits) - 1, 0, -1):
        if digits[i] > digits[i - 1]:
            digits[i], digits[i - 1] = digits[i - 1], digits[i]
            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/409--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 product from the pairs of tuples within a given list.
>>> Test Cases:
assert min_product_tuple([(2, 7), (2, 6), (1, 8), (4, 9)] )==8
assert min_product_tuple([(10,20), (15,2), (5,10)] )==30
assert min_product_tuple([(11,44), (10,15), (20,5), (12, 9)] )==100

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

```python
def min_product_tuple(lst):
    return min(x*y for x, y in lst)
```

--------------------------------------------------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):
    nums = [i for i in lst if isinstance(i, (int, float))]
    return min(nums)
```

--------------------------------------------------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 to camel case:

```python
import re

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

--------------------------------------------------Mbpp/412--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 remove odd numbers from a given list.
>>> Test Cases:
assert remove_odd([1,2,3]) == [2]
assert remove_odd([2,4,6]) == [2,4,6]
assert remove_odd([10,20,3]) == [10,20]

### Response:
Here is the Python function to remove odd numbers from a given list:

```python
def remove_odd(nums):
    return [num for num in nums if num % 2 == 0]
```

--------------------------------------------------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()
    return (nums[-1], nums[-2]) if nums[0] < 0 else (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 the Python function for your problem:

```python
def breakSum(n):
    if n < 3:
        return n
    dp = [0]*(n+1)
    dp[1] = 1
    dp[2] = 2
    for i in range(3, n+1):
        dp[i] = max(dp[i-1]+1, dp[i-2]+2, dp[i-3]+3)
    return dp[n]
```

--------------------------------------------------Mbpp/417--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 first element in given list of tuple.
>>> Test Cases:
assert group_tuples([('x', 'y'), ('x', 'z'), ('w', 't')]) == [('x', 'y', 'z'), ('w', 't')]
assert group_tuples([('a', 'b'), ('a', 'c'), ('d', 'e')]) == [('a', 'b', 'c'), ('d', 'e')]
assert group_tuples([('f', 'g'), ('f', 'g'), ('h', 'i')]) == [('f', 'g', 'g'), ('h', 'i')]

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

```python
def group_tuples(lst):
    if not lst:
        return []
    result = [(lst[0][0],)]
    for tup in lst:
        if tup[0] == result[-1][0]:
            result[-1] += (tup[1],)
        else:
            result.append((tup[0], tup[1]))
    return result
```

--------------------------------------------------Mbpp/418--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 maximum length.
>>> Test Cases:
assert Find_Max([['A'],['A','B'],['A','B','C']]) == ['A','B','C']
assert Find_Max([[1],[1,2],[1,2,3]]) == [1,2,3]
assert Find_Max([[1,1],[1,2,3],[1,5,6,1]]) == [1,5,6,1]

### Response:
Here is the Python function to find the sublist having maximum length:

```python
def Find_Max(lst):
    max_len = max(len(sublist) for sublist in lst)
    for sublist in lst:
        if len(sublist) == max_len:
            return sublist
```

--------------------------------------------------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 solves your problem:

```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 that concatenates each element of a 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 are given a matrix of numbers representing the amount of gold in each cell, and you start from the leftmost column and can move either down or diagonally down right. The task is to find the maximum amount of gold you can collect.

Here is the Python code for the problem:

```python
def get_maxgold(gold, m, n):
    # Create a table to store results of subproblems
    dp = [[0 for _ in range(n)] for _ in range(m)]

    # Initialize the first column
    for i in range(m):
        dp[i][0] = gold[i][0]

    # Fill the dp table in bottom up manner
    for j in range(1, n):
        for i in range(m):
            # If the cell is in the first column, we can only go down
            if i == 0:
                dp[i][j] = gold[i][j] + dp[i][j-1]
            # If the cell is in the last column, we can only go up
            elif i == m-1:
                dp[i][j] = gold[i][j] + dp[i-1][j-1]
            # Otherwise, we can go either up or down
            else:
                dp[i][j] = gold[i][j] + max(dp[i-1][j-1], dp[i+1][j-1])

    # Find the maximum amount of gold in the last column
    max_gold = max(dp[i][n-1] for i in range(m))

    return max_gold
```

--------------------------------------------------Mbpp/424--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 only the rear index element of each string in the given tuple.
>>> Test Cases:
assert extract_rear(('Mers', 'for', 'Vers') ) == ['s', 'r', 's']
assert extract_rear(('Avenge', 'for', 'People') ) == ['e', 'r', 'e']
assert extract_rear(('Gotta', 'get', 'go') ) == ['a', 't', 'o']

### Response:
Here is the Python function to extract only the rear index element of each string in the given tuple:

```python
def extract_rear(test_tup):
    return [i[-1] for i in test_tup]
```

--------------------------------------------------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:
Sure, here is a Python function using regular expressions 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())
    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 your problem:

```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 focus of the parabola. The equation of a parabola in standard form is given by:

y = a(x - h)^2 + k

where (h, k) is the focus of the parabola, and a is the directrix. The directrix is given by the equation:

y = a(x - h)^2

So, to find the directrix, you can simply return the value of a. Here is the Python function:

```python
def parabola_directrix(a, h, k):
    return a
```

--------------------------------------------------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):
    patterns = 'ab+'
    if re.search(patterns, text):
        return('Found a match!')
    else:
        return('Not matched!')
```

--------------------------------------------------Mbpp/435--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 of a given number.
>>> Test Cases:
assert last_Digit(123) == 3
assert last_Digit(25) == 5
assert last_Digit(30) == 0

### Response:
Here is the Python function to find the last digit of a given number:

```python
def last_Digit(n):
    return n % 10
```

--------------------------------------------------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(lst):
    return [i for i in lst if i < 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):
    count = 0
    for i in range(len(tuples) - 1):
        if tuples[i] == tuples[i + 1][::-1]:
            count += 1
    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:
Here is a Python function that uses regular expressions to find all adverbs and their positions in a given sentence.

```python
import re

def find_adverb_position(sentence):
    adverbs = re.findall(r'\b(?:very|just|really|quite|so|too)\b', sentence)
    if adverbs:
        adverb = adverbs[0]
        start = sentence.index(adverb)
        end = start + len(adverb) - 1
        return (start, end, adverb)
    else:
        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 for your problem:

```python
def positive_count(nums):
    total = len(nums)
    positive = len([num for num in nums if num > 0])
    return round(positive / total, 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/444--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to trim each tuple by k in the given tuple list.
>>> Test Cases:
assert trim_tuple([(5, 3, 2, 1, 4), (3, 4, 9, 2, 1),(9, 1, 2, 3, 5), (4, 8, 2, 1, 7)], 2) == '[(2,), (9,), (2,), (2,)]'
assert trim_tuple([(5, 3, 2, 1, 4), (3, 4, 9, 2, 1), (9, 1, 2, 3, 5), (4, 8, 2, 1, 7)], 1) == '[(3, 2, 1), (4, 9, 2), (1, 2, 3), (8, 2, 1)]'
assert trim_tuple([(7, 8, 4, 9), (11, 8, 12, 4),(4, 1, 7, 8), (3, 6, 9, 7)], 1) == '[(8, 4), (8, 12), (1, 7), (6, 9)]'

### Response:
Here is the Python function to trim each tuple by k in the given tuple list:

```python
def trim_tuple(tuples, k):
    result = []
    for tup in tuples:
        result.append(tup[k:])
    return str(result)
```

--------------------------------------------------Mbpp/445--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 multiplication of tuple elements in the given two tuples.
>>> Test Cases:
assert index_multiplication(((1, 3), (4, 5), (2, 9), (1, 10)),((6, 7), (3, 9), (1, 1), (7, 3)) ) == ((6, 21), (12, 45), (2, 9), (7, 30))
assert index_multiplication(((2, 4), (5, 6), (3, 10), (2, 11)),((7, 8), (4, 10), (2, 2), (8, 4)) ) == ((14, 32), (20, 60), (6, 20), (16, 44))
assert index_multiplication(((3, 5), (6, 7), (4, 11), (3, 12)),((8, 9), (5, 11), (3, 3), (9, 5)) ) == ((24, 45), (30, 77), (12, 33), (27, 60))

### Response:
Here is the Python function to perform index wise multiplication of tuple elements in the given two tuples:

```python
def index_multiplication(tup1, tup2):
    result = []
    for i in range(len(tup1)):
        temp = []
        for j in range(len(tup1[i])):
            temp.append(tup1[i][j] * tup2[i][j])
        result.append(tuple(temp))
    return tuple(result)
```

--------------------------------------------------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 2
    elif n == 2:
        return 3
    else:
        perrin = [2, 3, 0]
        for i in range(3, n):
            perrin[i%3] = perrin[0] + perrin[1] + perrin[2]
        return perrin[n%3]
```

--------------------------------------------------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 sides of the triangle
    side1 = ((x2 - x1) ** 2 + (y2 - y1) ** 2) ** 0.5
    side2 = ((x3 - x2) ** 2 + (y3 - y2) ** 2) ** 0.5
    side3 = ((x3 - x1) ** 2 + (y3 - y1) ** 2) ** 0.5

    # Check if the triangle is valid
    if (side1 + side2 > side3) and (side2 + side3 > side1) and (side1 + side3 > side2):
        return 'Yes'
    else:
        return 'No'
```

--------------------------------------------------Mbpp/450--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 specified size of strings from a give list of string values.
>>> Test Cases:
assert extract_string(['Python', 'list', 'exercises', 'practice', 'solution'] ,8)==['practice', 'solution']
assert extract_string(['Python', 'list', 'exercises', 'practice', 'solution'] ,6)==['Python']
assert extract_string(['Python', 'list', 'exercises', 'practice', 'solution'] ,9)==['exercises']

### Response:
Here is the Python function to extract specified size of strings from a give list of string values:

```python
def extract_string(str_list, size):
    return [word for word in str_list if len(word) == size]
```

--------------------------------------------------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/453--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 factors of a number.
>>> Test Cases:
assert sumofFactors(18) == 26
assert sumofFactors(30) == 48
assert sumofFactors(6) == 8

### Response:
Here is the Python function to find the sum of even factors of a number:

```python
def sumofFactors(n):
    sum = 0
    for i in range(1, n+1):
        if n % i == 0 and i % 2 == 0:
            sum += i
    return sum
```

--------------------------------------------------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
    thirty_one_days_months = {1, 3, 5, 7, 8, 10, 12}
    return month_number in thirty_one_days_months
```

--------------------------------------------------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 for your problem:

```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:

```python
def max_subarray_product(nums):
    if not nums:
        return 0

    max_dp = [0]*len(nums)
    min_dp = [0]*len(nums)
    max_dp[0] = min_dp[0] = nums[0]
    for i in range(1, len(nums)):
        if nums[i] > 0:
            max_dp[i] = max(nums[i], max_dp[i-1]*nums[i])
            min_dp[i] = min(nums[i], min_dp[i-1]*nums[i])
        else:
            max_dp[i] = max(nums[i], min_dp[i-1]*nums[i])
            min_dp[i] = min(nums[i], max_dp[i-1]*nums[i])

    return max(max_dp)
```

--------------------------------------------------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/465--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to drop empty items from a given dictionary.
>>> Test Cases:
assert drop_empty({'c1': 'Red', 'c2': 'Green', 'c3':None})=={'c1': 'Red', 'c2': 'Green'}
assert drop_empty({'c1': 'Red', 'c2': None, 'c3':None})=={'c1': 'Red'}
assert drop_empty({'c1': None, 'c2': 'Green', 'c3':None})=={ 'c2': 'Green'}

### Response:
Here is the Python function to drop empty items from a given dictionary:

```python
def drop_empty(dictionary):
    return {key: value for key, value in dictionary.items() if value is not None}
```

--------------------------------------------------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/467--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 decimal number to octal number.
>>> Test Cases:
assert decimal_to_Octal(10) == 12
assert decimal_to_Octal(2) == 2
assert decimal_to_Octal(33) == 41

### Response:
Here is the Python function to convert decimal number to octal number:

```python
def decimal_to_Octal(decimal_number):
    return int(oct(decimal_number)[2:])
```

--------------------------------------------------Mbpp/468--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 formed by multiplying numbers of an increasing subsequence of that array.
>>> Test Cases:
assert max_product([3, 100, 4, 5, 150, 6], 6) == 45000 
assert max_product([4, 42, 55, 68, 80], 5) == 50265600
assert max_product([10, 22, 9, 33, 21, 50, 41, 60], 8) == 21780000 

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

```python
def max_product(arr, n):
    arr.sort()
    return max(arr[0]*arr[1]*arr[n-1], arr[n-3]*arr[n-2]*arr[n-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/470--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 pairwise addition of the elements of the given tuples.
>>> Test Cases:
assert add_pairwise((1, 5, 7, 8, 10)) == (6, 12, 15, 18)
assert add_pairwise((2, 6, 8, 9, 11)) == (8, 14, 17, 20)
assert add_pairwise((3, 7, 9, 10, 12)) == (10, 16, 19, 22)

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

```python
def add_pairwise(test_tup):
    res = tuple(test_tup[i] + test_tup[i + 1] for i in range(len(test_tup) - 1))
    return res
```

--------------------------------------------------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 the 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]
    
    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):
    while n >= 10:
        n /= 10
    return int(n)
```

--------------------------------------------------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(str):
    frequency = {} 
    for char in str: 
        if char in frequency: 
            frequency[char] += 1
        else: 
            frequency[char] = 1
    max_freq_char = max(frequency, key=frequency.get)
    return max_freq_char
```

--------------------------------------------------Mbpp/481--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

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

Here is my problem:
>>> Problem:
Write a function to determine if there is a subset of the given set with sum equal to the given sum.
>>> Test Cases:
assert is_subset_sum([3, 34, 4, 12, 5, 2], 6, 9) == True
assert is_subset_sum([3, 34, 4, 12, 5, 2], 6, 30) == False
assert is_subset_sum([3, 34, 4, 12, 5, 2], 6, 15) == True

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

```python
def is_subset_sum(set, n, sum):
    if sum == 0:
        return True
    if n == 0 and sum != 0:
        return False
    if set[n - 1] > sum:
        return is_subset_sum(set, n - 1, sum)
    return is_subset_sum(set, n - 1, sum) or is_subset_sum(set, n - 1, sum - set[n - 1])
```

--------------------------------------------------Mbpp/482--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 sequences of one upper case letter followed by lower case letters in the given string by using regex.
>>> Test Cases:
assert match("Geeks") == 'Yes'
assert match("geeksforGeeks") == 'Yes'
assert match("geeks") == 'No'

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

```python
import re

def match(s):
    if re.search('^[A-Z][a-z]*$', s):
        return 'Yes'
    else:
        return 'No'
```

--------------------------------------------------Mbpp/483--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 natural number whose factorial is divisible by x.
>>> Test Cases:
assert first_Factorial_Divisible_Number(10) == 5
assert first_Factorial_Divisible_Number(15) == 5
assert first_Factorial_Divisible_Number(5) == 4

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

```python
import math

def first_Factorial_Divisible_Number(x):
    i = 1
    while True:
        if math.factorial(i) % x == 0:
            return i
        i += 1
```

--------------------------------------------------Mbpp/484--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 matching tuples from the given two tuples.
>>> Test Cases:
assert remove_matching_tuple([('Hello', 'dude'), ('How', 'are'), ('you', '?')], [('Hello', 'dude'), ('How', 'are')]) == [('you', '?')]
assert remove_matching_tuple([('Part', 'of'), ('the', 'journey'), ('is ', 'end')], [('Journey', 'the'), ('is', 'end')]) == [('Part', 'of'), ('the', 'journey'), ('is ', 'end')]
assert remove_matching_tuple([('Its', 'been'), ('a', 'long'), ('day', 'without')], [('a', 'long'), ('my', 'friend')]) == [('Its', 'been'), ('day', 'without')]

### Response:
Here is the Python function to remove the matching tuples from the given two tuples:

```python
def remove_matching_tuple(tup1, tup2):
    # Convert tuples to lists
    list1 = list(tup1)
    list2 = list(tup2)

    # Remove matching tuples
    for tup in list2:
        if tup in list1:
            list1.remove(tup)

    # Convert list back to tuple
    result = tuple(list1)

    return result
```

--------------------------------------------------Mbpp/485--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 palindromic number in the given array.
>>> Test Cases:
assert largest_palindrome([1, 232, 54545, 999991], 4) == 54545
assert largest_palindrome([1, 2, 3, 4, 5, 50], 6) == 5
assert largest_palindrome([1, 3, 7, 9, 45], 5)  == 9

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

```python
def largest_palindrome(arr, n):
    # Function to check if a number is palindrome
    def is_palindrome(num):
        return str(num) == str(num)[::-1]

    # Filter the array to get only palindrome numbers
    palindromes = list(filter(is_palindrome, arr))

    # Return the maximum palindrome number
    return max(palindromes)
```

--------------------------------------------------Mbpp/486--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 binomial probability for the given number.
>>> Test Cases:
assert binomial_probability(10, 5, 1.0/3) == 0.13656454808718185
assert binomial_probability(11, 6, 2.0/4) == 0.2255859375
assert binomial_probability(12, 7, 3.0/5) == 0.227030335488

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

```python
import math

def binomial_probability(n, k, p):
    """
    Function to compute binomial probability
    n: number of trials
    k: number of successes
    p: probability of success in one trial
    """
    # Compute binomial coefficient
    binom_coeff = math.comb(n, k)
    
    # Compute probability
    prob = binom_coeff * (p ** k) * ((1 - p) ** (n - k))
    
    return prob
```

--------------------------------------------------Mbpp/487--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 in increasing order by the last element in each tuple.
>>> Test Cases:
assert sort_tuple([(1, 3), (3, 2), (2, 1)] ) == [(2, 1), (3, 2), (1, 3)]
assert sort_tuple([(2, 4), (3, 3), (1, 1)] ) == [(1, 1), (3, 3), (2, 4)]
assert sort_tuple([(3, 9), (6, 7), (4, 3)] ) == [(4, 3), (6, 7), (3, 9)]

### Response:
Here is the Python function to sort a list of tuples in increasing order by the last element in each tuple:

```python
def sort_tuple(tuples):
    return sorted(tuples, key=lambda x: x[-1])
```

--------------------------------------------------Mbpp/488--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 pentagon.
>>> Test Cases:
assert area_pentagon(5)==43.01193501472417
assert area_pentagon(10)==172.0477400588967
assert area_pentagon(15)==387.10741513251753

### Response:
Here is the Python function to calculate the area of a pentagon:

```python
import math

def area_pentagon(side_length):
    apothem = side_length / (2 * math.tan(math.pi / 5))
    area = 0.5 * 5 * side_length * apothem
    return area
```

--------------------------------------------------Mbpp/489--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 the largest value in a given array.
>>> Test Cases:
assert frequency_Of_Largest(5,[1,2,3,4,4]) == 2
assert frequency_Of_Largest(3,[5,6,5]) == 1
assert frequency_Of_Largest(4,[2,7,7,7]) == 3

### Response:
Here is the Python function to find the frequency of the largest value in a given array:

```python
def frequency_Of_Largest(n, arr):
    # Sort the array in descending order
    arr.sort(reverse=True)
    # Initialize the count to 1
    count = 1
    # Iterate over the array from the second element
    for i in range(1, n):
        # If the current element is equal to the first element, increment the count
        if arr[i] == arr[0]:
            count += 1
        # If the current element is less than the first element, break the loop
        elif arr[i] < arr[0]:
            break
    # Return the count
    return count
```

--------------------------------------------------Mbpp/490--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 pairs which are symmetric in the given tuple list.
>>> Test Cases:
assert extract_symmetric([(6, 7), (2, 3), (7, 6), (9, 8), (10, 2), (8, 9)] ) == {(8, 9), (6, 7)}
assert extract_symmetric([(7, 8), (3, 4), (8, 7), (10, 9), (11, 3), (9, 10)] ) == {(9, 10), (7, 8)}
assert extract_symmetric([(8, 9), (4, 5), (9, 8), (11, 10), (12, 4), (10, 11)] ) == {(8, 9), (10, 11)}

### Response:
Here is the Python function to extract all the pairs which are symmetric in the given tuple list:

```python
def extract_symmetric(pairs):
    symmetric_pairs = set()
    for pair in pairs:
        if pair[::-1] in pairs:
            symmetric_pairs.add(pair)
    return symmetric_pairs
```

--------------------------------------------------Mbpp/491--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 sum of geometric progression series.
>>> Test Cases:
assert sum_gp(1,5,2)==31
assert sum_gp(1,5,4)==341
assert sum_gp(2,6,3)==728

### Response:
Here is the Python function to find the sum of a geometric progression series:

```python
def sum_gp(a, r, n):
    return a * (1 - r**n) / (1 - r)
```

--------------------------------------------------Mbpp/492--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 binary search.
>>> Test Cases:
assert binary_search([1,2,3,5,8], 6) == False
assert binary_search([7, 8, 9, 10, 13], 10) == True
assert binary_search([11, 13, 14, 19, 22, 36], 23) == False

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

```python
def binary_search(arr, x):
    low = 0
    high = len(arr) - 1
    mid = 0
  
    while low <= high:
  
        mid = (high + low) // 2
  
        if arr[mid] < x:
            low = mid + 1
  
        elif arr[mid] > x:
            high = mid - 1
  
        else:
            return True
  
    return False
```

--------------------------------------------------Mbpp/493--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 a grid of hexagon coordinates where function returns a list of lists containing 6 tuples of x, y point coordinates.
>>> Test Cases:
assert calculate_polygons(1,1, 4, 4, 3)==[[(-5.0, -4.196152422706632), (-5.0, -0.7320508075688767), (-2.0, 1.0), (1.0, -0.7320508075688767), (1.0, -4.196152422706632), (-2.0, -5.928203230275509), (-5.0, -4.196152422706632)], [(1.0, -4.196152422706632), (1.0, -0.7320508075688767), (4.0, 1.0), (7.0, -0.7320508075688767), (7.0, -4.196152422706632), (4.0, -5.928203230275509), (1.0, -4.196152422706632)], [(7.0, -4.196152422706632), (7.0, -0.7320508075688767), (10.0, 1.0), (13.0, -0.7320508075688767), (13.0, -4.196152422706632), (10.0, -5.928203230275509), (7.0, -4.196152422706632)], [(-2.0, 1.0000000000000004), (-2.0, 4.464101615137755), (1.0, 6.196152422706632), (4.0, 4.464101615137755), (4.0, 1.0000000000000004), (1.0, -0.7320508075688767), (-2.0, 1.0000000000000004)], [(4.0, 1.0000000000000004), (4.0, 4.464101615137755), (7.0, 6.196152422706632), (10.0, 4.464101615137755), (10.0, 1.0000000000000004), (7.0, -0.7320508075688767), (4.0, 1.0000000000000004)], [(-5.0, 6.196152422706632), (-5.0, 9.660254037844387), (-2.0, 11.392304845413264), (1.0, 9.660254037844387), (1.0, 6.196152422706632), (-2.0, 4.464101615137755), (-5.0, 6.196152422706632)], [(1.0, 6.196152422706632), (1.0, 9.660254037844387), (4.0, 11.392304845413264), (7.0, 9.660254037844387), (7.0, 6.196152422706632), (4.0, 4.464101615137755), (1.0, 6.196152422706632)], [(7.0, 6.196152422706632), (7.0, 9.660254037844387), (10.0, 11.392304845413264), (13.0, 9.660254037844387), (13.0, 6.196152422706632), (10.0, 4.464101615137755), (7.0, 6.196152422706632)], [(-2.0, 11.392304845413264), (-2.0, 14.85640646055102), (1.0, 16.588457268119896), (4.0, 14.85640646055102), (4.0, 11.392304845413264), (1.0, 9.660254037844387), (-2.0, 11.392304845413264)], [(4.0, 11.392304845413264), (4.0, 14.85640646055102), (7.0, 16.588457268119896), (10.0, 14.85640646055102), (10.0, 11.392304845413264), (7.0, 9.660254037844387), (4.0, 11.392304845413264)]]
assert calculate_polygons(5,4,7,9,8)==[[(-11.0, -9.856406460551018), (-11.0, -0.6188021535170058), (-3.0, 4.0), (5.0, -0.6188021535170058), (5.0, -9.856406460551018), (-3.0, -14.475208614068023), (-11.0, -9.856406460551018)], [(5.0, -9.856406460551018), (5.0, -0.6188021535170058), (13.0, 4.0), (21.0, -0.6188021535170058), (21.0, -9.856406460551018), (13.0, -14.475208614068023), (5.0, -9.856406460551018)], [(21.0, -9.856406460551018), (21.0, -0.6188021535170058), (29.0, 4.0), (37.0, -0.6188021535170058), (37.0, -9.856406460551018), (29.0, -14.475208614068023), (21.0, -9.856406460551018)], [(-3.0, 4.0), (-3.0, 13.237604307034012), (5.0, 17.856406460551018), (13.0, 13.237604307034012), (13.0, 4.0), (5.0, -0.6188021535170058), (-3.0, 4.0)], [(13.0, 4.0), (13.0, 13.237604307034012), (21.0, 17.856406460551018), (29.0, 13.237604307034012), (29.0, 4.0), (21.0, -0.6188021535170058), (13.0, 4.0)], [(-11.0, 17.856406460551018), (-11.0, 27.09401076758503), (-3.0, 31.712812921102035), (5.0, 27.09401076758503), (5.0, 17.856406460551018), (-3.0, 13.237604307034012), (-11.0, 17.856406460551018)], [(5.0, 17.856406460551018), (5.0, 27.09401076758503), (13.0, 31.712812921102035), (21.0, 27.09401076758503), (21.0, 17.856406460551018), (13.0, 13.237604307034012), (5.0, 17.856406460551018)], [(21.0, 17.856406460551018), (21.0, 27.09401076758503), (29.0, 31.712812921102035), (37.0, 27.09401076758503), (37.0, 17.856406460551018), (29.0, 13.237604307034012), (21.0, 17.856406460551018)], [(-3.0, 31.712812921102035), (-3.0, 40.95041722813605), (5.0, 45.569219381653056), (13.0, 40.95041722813605), (13.0, 31.712812921102035), (5.0, 27.09401076758503), (-3.0, 31.712812921102035)], [(13.0, 31.712812921102035), (13.0, 40.95041722813605), (21.0, 45.569219381653056), (29.0, 40.95041722813605), (29.0, 31.712812921102035), (21.0, 27.09401076758503), (13.0, 31.712812921102035)]]
assert calculate_polygons(9,6,4,3,2)==[[(5.0, 2.5358983848622456), (5.0, 4.8452994616207485), (7.0, 6.0), (9.0, 4.8452994616207485), (9.0, 2.5358983848622456), (7.0, 1.3811978464829942), (5.0, 2.5358983848622456)], [(7.0, 6.0), (7.0, 8.309401076758503), (9.0, 9.464101615137753), (11.0, 8.309401076758503), (11.0, 6.0), (9.0, 4.8452994616207485), (7.0, 6.0)]]

### Response:


--------------------------------------------------Mbpp/494--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 binary tuple to integer.
>>> Test Cases:
assert binary_to_integer((1, 1, 0, 1, 0, 0, 1)) == '105'
assert binary_to_integer((0, 1, 1, 0, 0, 1, 0, 1)) == '101'
assert binary_to_integer((1, 1, 0, 1, 0, 1)) == '53'

### Response:
Here is the Python function to convert the given binary tuple to integer:

```python
def binary_to_integer(binary_tuple):
    binary_str = ''.join(str(i) for i in binary_tuple)
    integer = int(binary_str, 2)
    return str(integer)
```

--------------------------------------------------Mbpp/495--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 by using regex.
>>> Test Cases:
assert remove_lowercase('KDeoALOklOOHserfLoAJSIskdsf') == 'KDALOOOHLAJSI'
assert remove_lowercase('ProducTnamEstreAmIngMediAplAYer') == 'PTEAIMAAY'
assert remove_lowercase('maNufacTuredbYSheZenTechNolOGIes') == 'NTYSZTNOGI'

### Response:
Here is the Python function using regex to remove lowercase substrings from a given string:

```python
import re

def remove_lowercase(s):
    return re.sub(r'[a-z]+', '', s)
```

--------------------------------------------------Mbpp/496--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 smallest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_smallest( [25, 35, 22, 85, 14, 65, 75, 25, 58],3)==[14, 22, 25] 
assert heap_queue_smallest( [25, 35, 22, 85, 14, 65, 75, 25, 58],2)==[14, 22]
assert heap_queue_smallest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[14, 22, 22, 25, 35]

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

```python
import heapq as hq

def heap_queue_smallest(nums, n):
    smallest_nums = hq.nsmallest(n, nums)
    return smallest_nums
```

--------------------------------------------------Mbpp/497--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 cone.
>>> Test Cases:
assert surfacearea_cone(5,12)==282.7433388230814
assert surfacearea_cone(10,15)==880.5179353159282
assert surfacearea_cone(19,17)==2655.923961165254

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

```python
import math

def surfacearea_cone(r, h):
    # r is the radius of the base, h is the height of the cone
    return math.pi * r * (r + math.sqrt(h**2 + r**2))
```

--------------------------------------------------Mbpp/498--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 gcd of two positive integers.
>>> Test Cases:
assert gcd(12, 17) == 1
assert gcd(4,6) == 2
assert gcd(2,9) == 1

### Response:
Here is the Python function to find gcd of two positive integers using Euclidean algorithm:

```python
def gcd(a, b):
    while b != 0:
        a, b = b, a % b
    return a
```

--------------------------------------------------Mbpp/499--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 diameter of a circle.
>>> Test Cases:
assert diameter_circle(10)==20
assert diameter_circle(40)==80
assert diameter_circle(15)==30

### Response:
The diameter of a circle is twice the radius. So, you can simply multiply the radius by 2 to get the diameter. Here is the Python function for your problem:

```python
def diameter_circle(radius):
    return 2 * radius
```

--------------------------------------------------Mbpp/500--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 all elements of the given list into a string.
>>> Test Cases:
assert concatenate_elements(['hello','there','have','a','rocky','day'] ) == '  hello there have a rocky day'
assert concatenate_elements([ 'Hi', 'there', 'How','are', 'you'] ) == '  Hi there How are you'
assert concatenate_elements([ 'Part', 'of', 'the','journey', 'is', 'end'] ) == '  Part of the journey is end'

### Response:
Here is the Python function to concatenate all elements of the given list into a string:

```python
def concatenate_elements(lst):
    return ' '.join(lst)
```

--------------------------------------------------Mbpp/501--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 common divisor between two numbers in a given pair.
>>> Test Cases:
assert num_comm_div(2,4) == 2
assert num_comm_div(2,8) == 2
assert num_comm_div(12,24) == 6

### Response:
Here is the Python function to find common divisor between two numbers in a given pair:

```python
def num_comm_div(num1, num2):
    def gcd(x, y):
        while(y):
            x, y = y, x % y
        return x
    return gcd(num1, num2)
```

--------------------------------------------------Mbpp/502--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 two numbers.
>>> Test Cases:
assert find(3,3) == 0
assert find(10,3) == 1
assert find(16,5) == 1

### Response:
Here is the Python function to find the remainder of two numbers:

```python
def find(num1, num2):
    return num1 % num2
```

--------------------------------------------------Mbpp/503--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 consecutive numbers of a given list.
>>> Test Cases:
assert add_consecutive_nums([1, 1, 3, 4, 4, 5, 6, 7])==[2, 4, 7, 8, 9, 11, 13]
assert add_consecutive_nums([4, 5, 8, 9, 6, 10])==[9, 13, 17, 15, 16]
assert add_consecutive_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[3, 5, 7, 9, 11, 13, 15, 17, 19]

### Response:
Here is the Python function to add consecutive numbers of a given list:

```python
def add_consecutive_nums(nums):
    return [nums[i] + nums[i + 1] for i in range(len(nums) - 1)]
```

--------------------------------------------------Mbpp/504--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 natural numbers.
>>> Test Cases:
assert sum_Of_Series(5) == 225
assert sum_Of_Series(2) == 9
assert sum_Of_Series(3) == 36

### Response:
Here is the Python function to find the cube sum of first n natural numbers:

```python
def sum_Of_Series(n):
    return sum(i**3 for i in range(1, n+1))
```

--------------------------------------------------Mbpp/505--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 zeroes to the end of the given array.
>>> Test Cases:
assert re_order([6, 0, 8, 2, 3, 0, 4, 0, 1]) == [6, 8, 2, 3, 4, 1, 0, 0, 0]
assert re_order([4, 0, 2, 7, 0, 9, 0, 12, 0]) == [4, 2, 7, 9, 12, 0, 0, 0, 0]
assert re_order([3, 11, 0, 74, 14, 0, 1, 0, 2]) == [3, 11, 74, 14, 1, 2, 0, 0, 0]

### Response:
Here is the Python function to move all zeroes to the end of the given array:

```python
def re_order(arr):
    # Count the number of zeros in the array
    count = arr.count(0)
    
    # Remove all zeros from the array
    arr = [i for i in arr if i!=0]
    
    # Extend the array with the number of zeros
    arr.extend([0]*count)
    
    return arr
```

--------------------------------------------------Mbpp/506--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 permutation coefficient of given p(n, k).
>>> Test Cases:
assert permutation_coefficient(10, 2) == 90
assert permutation_coefficient(10, 3) == 720
assert permutation_coefficient(10, 1) == 10

### Response:
The permutation coefficient of a set of n distinct objects taken r at a time is given by the formula:

p(n, r) = n! / (n-r)!

where "!" denotes factorial.

Here is the Python function for your problem:

```python
def factorial(n):
    if n == 0:
        return 1
    else:
        return n * factorial(n-1)

def permutation_coefficient(n, r):
    return factorial(n) // factorial(n-r)
```

--------------------------------------------------Mbpp/507--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 specific words from a given list.
>>> Test Cases:
assert remove_words(['red', 'green', 'blue', 'white', 'black', 'orange'],['white', 'orange'])==['red', 'green', 'blue', 'black']
assert remove_words(['red', 'green', 'blue', 'white', 'black', 'orange'],['black', 'orange'])==['red', 'green', 'blue', 'white']
assert remove_words(['red', 'green', 'blue', 'white', 'black', 'orange'],['blue', 'white'])==['red', 'green', 'black', 'orange']

### Response:
Here is the Python function to remove specific words from a given list:

```python
def remove_words(words_list, words_to_remove):
    return [word for word in words_list if word not in words_to_remove]
```

--------------------------------------------------Mbpp/508--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 common elements between two given lists are in the same order or not.
>>> Test Cases:
assert same_order(["red","green","black","orange"],["red","pink","green","white","black"])==True
assert same_order(["red","pink","green","white","black"],["white","orange","pink","black"])==False
assert same_order(["red","green","black","orange"],["red","pink","green","white","black"])==True

### Response:
Here is the Python function to check if the common elements between two given lists are in the same order or not:

```python
def same_order(list1, list2):
    set1 = set(list1)
    set2 = set(list2)
    common_elements = set1 & set2
    return list1[::] == [x for x in list1 if x in common_elements]
```

--------------------------------------------------Mbpp/509--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq 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 odd numbers till a given odd number.
>>> Test Cases:
assert average_Odd(9) == 5
assert average_Odd(5) == 3
assert average_Odd(11) == 6

### Response:
Here is the Python function to find the average of odd numbers till a given odd number:

```python
def average_Odd(n):
    total = 0
    count = 0
    for i in range(1, n + 1, 2):
        total += i
        count += 1
    return total // count
```

--------------------------------------------------Mbpp/510--------------------------------------------------

<｜begin▁of▁sentence｜>You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer
### Instruction:
Please refer the given examples and generate a python function for my problem.
Examples are listed as follows:
- Example 1:
>>> Problem:
Write a function to find the similar elements from the given two tuple lists.
>>> Test Cases:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)

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

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

>>> Code:
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

- Example 3:
>>> Problem:
Write a function to find the largest integers from a given list of numbers using heap queue algorithm.
>>> Test Cases:
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],3)==[85, 75, 65] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],2)==[85, 75] 
assert heap_queue_largest( [25, 35, 22, 85, 14, 65, 75, 22, 58],5)==[85, 75, 65, 58, 35]

>>> Code:
```python
import heapq as hq
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 subsequences having product smaller than k for the given non negative array.
>>> Test Cases:
assert no_of_subsequences([1,2,3,4], 10) == 11
assert no_of_subsequences([4,8,7,2], 50) == 9
assert no_of_subsequences([5,6,7,8], 15) == 4

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

```python
def no_of_subsequences(arr, k):
    n = len(arr)
    count = 0
    for i in range(32):
        cnt = 0
        prod = 1
        for j in range(n):
            if (arr[j] & (1 << i)):
                cnt += 1
                prod *= arr[j]
                if prod >= k:
                    break
        if cnt >= 2:
            count += cnt * (cnt - 1) // 2
        elif cnt == 1 and prod < k:
            count += 1
    return count
```