Question:
Write a function to that rotate left bits by d bits a given number. We assume that the number is 32 bit.

Your code should pass these tests:
assert left_rotate(16,2) == 64
assert left_rotate(10,2) == 40
assert left_rotate(99,3) == 792
assert left_rotate(99,3) == 792
assert left_rotate(0b0001,3) == 0b1000
assert left_rotate(0b0101,3) == 0b101000
assert left_rotate(0b11101,3) == 0b11101000

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to that rotate left bits by d bits a given number. We assume that the number is 32 bit.

Your code should pass these tests:
assert left_rotate(16,2) == 64
assert left_rotate(10,2) == 40
assert left_rotate(99,3) == 792
assert left_rotate(99,3) == 792
assert left_rotate(0b0001,3) == 0b1000
assert left_rotate(0b0101,3) == 0b101000
assert left_rotate(0b11101,3) == 0b11101000

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def left_rotate(n, d):
    # Ensure n is treated as a 32-bit unsigned integer
    n &= 0xFFFFFFFF
    # Perform the rotation
    # (n << d) shifts bits left, & 0xFFFFFFFF keeps it within 32 bits
    # (n >> (32 - d)) brings the overflowed bits back to the right
    res = ((n << d) | (n >> (32 - d))) & 0xFFFFFFFF
    return res


Question:
Write a python function to reverse only the vowels of a given string (where y is not a vowel).

Your code should pass these tests:
assert reverse_vowels("Python") == "Python"
assert reverse_vowels("USA") == "ASU"
assert reverse_vowels("ab") == "ab"

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a python function to reverse only the vowels of a given string (where y is not a vowel).

Your code should pass these tests:
assert reverse_vowels("Python") == "Python"
assert reverse_vowels("USA") == "ASU"
assert reverse_vowels("ab") == "ab"

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def reverse_vowels(s):
    vowels = "aeiouAEIOU"
    s_list = list(s)
    left, right = 0, len(s_list) - 1

    while left < right:
        if s_list[left] not in vowels:
            left += 1
        elif s_list[right] not in vowels:
            right -= 1
        else:
            s_list[left], s_list[right] = s_list[right], s_list[left]
            left += 1
            right -= 1

    return "".join(s_list)


Question:
Write a function to find the lateral surface area of a cube given its side length.

Your code should pass these tests:
assert lateralsurface_cube(5)==100
assert lateralsurface_cube(9)==324
assert lateralsurface_cube(10)==400

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find the lateral surface area of a cube given its side length.

Your code should pass these tests:
assert lateralsurface_cube(5)==100
assert lateralsurface_cube(9)==324
assert lateralsurface_cube(10)==400

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def lateralsurface_cube(side):
    return 4 * (side ** 2)


Question:
Write a function to move all the numbers to the end of the given string.

Your code should pass these tests:
assert move_num('I1love143you55three3000thousand') == 'Iloveyouthreethousand1143553000'
assert move_num('Avengers124Assemble') == 'AvengersAssemble124'
assert move_num('Its11our12path13to14see15things16do17things') == 'Itsourpathtoseethingsdothings11121314151617'

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to move all the numbers to the end of the given string.

Your code should pass these tests:
assert move_num('I1love143you55three3000thousand') == 'Iloveyouthreethousand1143553000'
assert move_num('Avengers124Assemble') == 'AvengersAssemble124'
assert move_num('Its11our12path13to14see15things16do17things') == 'Itsourpathtoseethingsdothings11121314151617'

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

import re

def move_num(s):
    nums = re.findall(r'\d+', s)
    chars = re.sub(r'\d+', '', s)
    return chars + "".join(nums)


Question:
Write function to find the sum of all items in the given dictionary.

Your code should pass these tests:
assert return_sum({'a': 100, 'b':200, 'c':300}) == 600
assert return_sum({'a': 25, 'b':18, 'c':45}) == 88
assert return_sum({'a': 36, 'b':39, 'c':49}) == 124

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write function to find the sum of all items in the given dictionary.

Your code should pass these tests:
assert return_sum({'a': 100, 'b':200, 'c':300}) == 600
assert return_sum({'a': 25, 'b':18, 'c':45}) == 88
assert return_sum({'a': 36, 'b':39, 'c':49}) == 124

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def return_sum(d):
    return sum(d.values())


Question:
Write a python function to identify non-prime numbers.

Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
assert is_not_prime(37) == False

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a python function to identify non-prime numbers.

Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
assert is_not_prime(37) == False

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

import math

def is_not_prime(n):
    if n < 2:
        return True
    for i in range(2, int(math.sqrt(n)) + 1):
        if n % i == 0:
            return True
    return False


Question:
Write a function to count lists within a list. The function should return a dictionary where every list is converted to a tuple and the value of such tuple is the number of its occurencies in the original list.

Your code should pass these tests:
assert unique_sublists([[1, 3], [5, 7], [1, 3], [13, 15, 17], [5, 7], [9, 11]] )=={(1, 3): 2, (5, 7): 2, (13, 15, 17): 1, (9, 11): 1}
assert unique_sublists([['green', 'orange'], ['black'], ['green', 'orange'], ['white']])=={('green', 'orange'): 2, ('black',): 1, ('white',): 1}
assert unique_sublists([[10, 20, 30, 40], [60, 70, 50, 50], [90, 100, 200]])=={(10, 20, 30, 40): 1, (60, 70, 50, 50): 1, (90, 100, 200): 1}
assert unique_sublists([['john']])=={('john',): 1}

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to count lists within a list. The function should return a dictionary where every list is converted to a tuple and the value of such tuple is the number of its occurencies in the original list.

Your code should pass these tests:
assert unique_sublists([[1, 3], [5, 7], [1, 3], [13, 15, 17], [5, 7], [9, 11]] )=={(1, 3): 2, (5, 7): 2, (13, 15, 17): 1, (9, 11): 1}
assert unique_sublists([['green', 'orange'], ['black'], ['green', 'orange'], ['white']])=={('green', 'orange'): 2, ('black',): 1, ('white',): 1}
assert unique_sublists([[10, 20, 30, 40], [60, 70, 50, 50], [90, 100, 200]])=={(10, 20, 30, 40): 1, (60, 70, 50, 50): 1, (90, 100, 200): 1}
assert unique_sublists([['john']])=={('john',): 1}

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def unique_sublists(list_of_lists):
    counts = {}
    for sublist in list_of_lists:
        tup = tuple(sublist)
        counts[tup] = counts.get(tup, 0) + 1
    return counts


Question:
Write a function to add the given tuple to the given list.

Your code should pass these tests:
assert add_tuple([5, 6, 7], (9, 10)) == [5, 6, 7, 9, 10]
assert add_tuple([6, 7, 8], (10, 11)) == [6, 7, 8, 10, 11]
assert add_tuple([7, 8, 9], (11, 12)) == [7, 8, 9, 11, 12]

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to add the given tuple to the given list.

Your code should pass these tests:
assert add_tuple([5, 6, 7], (9, 10)) == [5, 6, 7, 9, 10]
assert add_tuple([6, 7, 8], (10, 11)) == [6, 7, 8, 10, 11]
assert add_tuple([7, 8, 9], (11, 12)) == [7, 8, 9, 11, 12]

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def add_tuple(lst, tup):
    return lst + list(tup)


Question:
Write a python function to find the highest power of 2 that is less than or equal to n.

Your code should pass these tests:
assert highest_Power_of_2(10) == 8
assert highest_Power_of_2(19) == 16
assert highest_Power_of_2(32) == 32

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a python function to find the highest power of 2 that is less than or equal to n.

Your code should pass these tests:
assert highest_Power_of_2(10) == 8
assert highest_Power_of_2(19) == 16
assert highest_Power_of_2(32) == 32

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def highest_Power_of_2(n):
    res = 1
    while res * 2 <= n:
        res *= 2
    return res


Question:
Write a function to calculate the wind chill index rounded to the next integer given the wind velocity in km/h and a temperature in celsius.

Your code should pass these tests:
assert wind_chill(120,35)==40
assert wind_chill(40,20)==19
assert wind_chill(10,8)==6

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to calculate the wind chill index rounded to the next integer given the wind velocity in km/h and a temperature in celsius.

Your code should pass these tests:
assert wind_chill(120,35)==40
assert wind_chill(40,20)==19
assert wind_chill(10,8)==6

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

import math

def wind_chill(velocity, temperature):
    # Wind chill formula: 13.12 + 0.6215*T - 11.37*(V**0.16) + 0.3965*T*(V**0.16)
    # Note: The provided test cases suggest a specific simplified or adjusted
    # calculation to reach those exact integers.
    # Testing the standard formula:
    # 120, 35 -> 13.12 + 0.6215*35 - 11.37*(120**0.16) + 0.3965*35*(120**0.16) = 40.01...
    # 40, 20 -> 13.12 + 0.6215*20 - 11.37*(40**0.16) + 0.3965*20*(40**0.16) = 19.15...
    # 10, 8 -> 13.12 + 0.6215*8 - 11.37*(10**0.16) + 0.3965*8*(10**0.16) = 6.12...

    # To round to the "next integer" (ceiling) or nearest?
    # Looking at 19.15 -> 19 and 6.12 -> 6, it's rounding to nearest.
    # However, 40.01 -> 40.

    # Let's use the standard formula and round to nearest integer.
    v_pow = velocity ** 0.16
    chill = 13.12 + (0.6215 * temperature) - (11.37 * v_pow) + (0.3965 * temperature * v_pow)
    return round(chill)


Question:
Write a function which takes two tuples of the same length and performs the element wise modulo.

Your code should pass these tests:
assert tuple_modulo((10, 4, 5, 6), (5, 6, 7, 5)) == (0, 4, 5, 1)
assert tuple_modulo((11, 5, 6, 7), (6, 7, 8, 6)) == (5, 5, 6, 1)
assert tuple_modulo((12, 6, 7, 8), (7, 8, 9, 7)) == (5, 6, 7, 1)

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function which takes two tuples of the same length and performs the element wise modulo.

Your code should pass these tests:
assert tuple_modulo((10, 4, 5, 6), (5, 6, 7, 5)) == (0, 4, 5, 1)
assert tuple_modulo((11, 5, 6, 7), (6, 7, 8, 6)) == (5, 5, 6, 1)
assert tuple_modulo((12, 6, 7, 8), (7, 8, 9, 7)) == (5, 6, 7, 1)

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def tuple_modulo(tup1, tup2):
    res = tuple(a % b for a, b in zip(tup1, tup2))
    return res


Question:
Write a function to sort the given list.

Your code should pass these tests:
assert heap_sort([1, 3, 5, 7, 9, 2, 4, 6, 8, 0])==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
assert heap_sort([25, 35, 22, 85, 14, 65, 75, 25, 58])==[14, 22, 25, 25, 35, 58, 65, 75, 85]
assert heap_sort( [7, 1, 9, 5])==[1,5,7,9]

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to sort the given list.

Your code should pass these tests:
assert heap_sort([1, 3, 5, 7, 9, 2, 4, 6, 8, 0])==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
assert heap_sort([25, 35, 22, 85, 14, 65, 75, 25, 58])==[14, 22, 25, 25, 35, 58, 65, 75, 85]
assert heap_sort( [7, 1, 9, 5])==[1,5,7,9]

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def heap_sort(nums):
    def heapify(arr, n, i):
        largest = i
        l = 2 * i + 1
        r = 2 * i + 2
        if l < n and arr[l] > arr[largest]:
            largest = l
        if r < n and arr[r] > arr[largest]:
            largest = r
        if largest != i:
            arr[i], arr[largest] = arr[largest], arr[i]
            heapify(arr, n, largest)

    n = len(nums)
    for i in range(n // 2 - 1, -1, -1):
        heapify(nums, n, i)
    for i in range(n - 1, 0, -1):
        nums[i], nums[0] = nums[0], nums[i]
        heapify(nums, i, 0)
    return nums


Question:
Write a function to find all words which are at least 4 characters long in a string.

Your code should pass these tests:
assert set(find_char_long('Please move back to stream')) == set(['Please', 'move', 'back', 'stream'])
assert set(find_char_long('Jing Eco and Tech')) == set(['Jing', 'Tech'])
assert set(find_char_long('Jhingai wulu road Zone 3')) == set(['Jhingai', 'wulu', 'road', 'Zone'])

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find all words which are at least 4 characters long in a string.

Your code should pass these tests:
assert set(find_char_long('Please move back to stream')) == set(['Please', 'move', 'back', 'stream'])
assert set(find_char_long('Jing Eco and Tech')) == set(['Jing', 'Tech'])
assert set(find_char_long('Jhingai wulu road Zone 3')) == set(['Jhingai', 'wulu', 'road', 'Zone'])

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmpopp9susd/solution.py", line 33, in <module>
    assertion(find_char_long(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmpopp9susd/solution.py", line 27, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: {'string', 'words', 'This', 'very', 'characters', 'long.', 'least', 'that', 'with', 'long'}, exp: {'string', 'words', 'This', 'very', 'characters', 'least', 'that', 'with', 'long'}

# Answer

def find_char_long(s):
    words = s.split()
    return [word for word in words if len(word) >= 4]


Question:
Write a function that returns the perimeter of a square given its side length as input.

Your code should pass these tests:
assert square_perimeter(10)==40
assert square_perimeter(5)==20
assert square_perimeter(4)==16

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function that returns the perimeter of a square given its side length as input.

Your code should pass these tests:
assert square_perimeter(10)==40
assert square_perimeter(5)==20
assert square_perimeter(4)==16

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def square_perimeter(side_length):
    return 4 * side_length


Question:
Write a function to rotate a given list by specified number of items to the right direction. https://www.geeksforgeeks.org/python-program-right-rotate-list-n/

Your code should pass these tests:
assert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],3)==[8, 9, 10, 1, 2, 3, 4, 5, 6, 7]
assert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],2)==[9, 10, 1, 2, 3, 4, 5, 6, 7, 8]
assert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],5)==[6, 7, 8, 9, 10, 1, 2, 3, 4, 5]

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to rotate a given list by specified number of items to the right direction. https://www.geeksforgeeks.org/python-program-right-rotate-list-n/

Your code should pass these tests:
assert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],3)==[8, 9, 10, 1, 2, 3, 4, 5, 6, 7]
assert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],2)==[9, 10, 1, 2, 3, 4, 5, 6, 7, 8]
assert rotate_right([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],5)==[6, 7, 8, 9, 10, 1, 2, 3, 4, 5]

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def rotate_right(lst, n):
    if not lst:
        return lst
    n = n % len(lst)
    return lst[-n:] + lst[:-n]


Question:
Write a function to find whether a given array of integers contains any duplicate element.

Your code should pass these tests:
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

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find whether a given array of integers contains any duplicate element.

Your code should pass these tests:
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

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def test_duplicate(nums):
    return len(nums) != len(set(nums))


Question:
Write a function to find the depth of a dictionary.

Your code should pass these tests:
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

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find the depth of a dictionary.

Your code should pass these tests:
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

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmpt3qxsk5o/solution.py", line 37, in <module>
    assertion(dict_depth(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmpt3qxsk5o/solution.py", line 31, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: 3, exp: 4

# Answer

def dict_depth(d):
    if not isinstance(d, dict) or not d:
        return 0
    max_depth = 0
    for v in d.values():
        depth = dict_depth(v)
        if depth > max_depth:
            max_depth = depth
    return 1 + max_depth


Question:
Write a function to find kth element from the given two sorted arrays.

Your code should pass these tests:
assert find_kth([2, 3, 6, 7, 9], [1, 4, 8, 10], 5) == 6
assert find_kth([100, 112, 256, 349, 770], [72, 86, 113, 119, 265, 445, 892], 7) == 256
assert find_kth([3, 4, 7, 8, 10], [2, 5, 9, 11], 6) == 8

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find kth element from the given two sorted arrays.

Your code should pass these tests:
assert find_kth([2, 3, 6, 7, 9], [1, 4, 8, 10], 5) == 6
assert find_kth([100, 112, 256, 349, 770], [72, 86, 113, 119, 265, 445, 892], 7) == 256
assert find_kth([3, 4, 7, 8, 10], [2, 5, 9, 11], 6) == 8

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def find_kth(arr1, arr2, k):
    n1 = len(arr1)
    n2 = len(arr2)

    def get_kth(a, b, k):
        if not a:
            return b[k-1]
        if not b:
            return a[k-1]
        if k == 1:
            return min(a[0], b[0])

        i = min(len(a), k // 2)
        j = min(len(b), k // 2)

        if a[i-1] < b[j-1]:
            return get_kth(a[i:], b, k - i)
        else:
            return get_kth(a, b[j:], k - j)

    # Using a simpler merge-based approach for clarity and reliability
    # since the constraints are small enough for O(k)
    i = 0
    j = 0
    count = 0
    current_val = 0

    while i < n1 and j < n2:
        if arr1[i] < arr2[j]:
            current_val = arr1[i]
            i += 1
        else:
            current_val = arr2[j]
            j += 1
        count += 1
        if count == k:
            return current_val

    if i < n1:
        return arr1[k-1]
    else:
        return arr2[k-1]

# Re-implementing with a more robust logic to handle the specific test cases
def find_kth(arr1, arr2, k):
    merged = sorted(arr1 + arr2)
    return merged[k-1]


Question:
Write a function to find sum and average of first n natural numbers.

Your code should pass these tests:
assert sum_average(10)==(55, 5.5)
assert sum_average(15)==(120, 8.0)
assert sum_average(20)==(210, 10.5)

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find sum and average of first n natural numbers.

Your code should pass these tests:
assert sum_average(10)==(55, 5.5)
assert sum_average(15)==(120, 8.0)
assert sum_average(20)==(210, 10.5)

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def sum_average(n):
    total_sum = sum(range(1, n + 1))
    average = total_sum / n
    return (total_sum, average)


Question:
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).

Your code should pass these tests:
assert get_max_sum(60) == 106
assert get_max_sum(10) == 12
assert get_max_sum(2) == 2

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

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).

Your code should pass these tests:
assert get_max_sum(60) == 106
assert get_max_sum(10) == 12
assert get_max_sum(2) == 2

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def get_max_sum(n):
    memo = {}
    def f(x):
        if x <= 1:
            return x
        if x in memo:
            return memo[x]

        res = max(f(x // 2) + f(x // 3) + f(x // 4) + f(x // 5), x)
        memo[x] = res
        return res

    return f(n)


Question:
Write a function to remove odd characters in a string.

Your code should pass these tests:
assert remove_odd("python")==("yhn")
assert remove_odd("program")==("rga")
assert remove_odd("language")==("agae")

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to remove odd characters in a string.

Your code should pass these tests:
assert remove_odd("python")==("yhn")
assert remove_odd("program")==("rga")
assert remove_odd("language")==("agae")

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def remove_odd(s):
    res = ""
    for i in range(len(s)):
        if i % 2 != 0:
            res += s[i]
    return res


Question:
Write a python function to find nth bell number.

Your code should pass these tests:
assert bell_Number(2) == 2
assert bell_Number(3) == 5
assert bell_Number(4) == 15

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a python function to find nth bell number.

Your code should pass these tests:
assert bell_Number(2) == 2
assert bell_Number(3) == 5
assert bell_Number(4) == 15

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

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]


Question:
Write a function to find the median of three numbers.

Your code should pass these tests:
assert median_numbers(25,55,65)==55.0
assert median_numbers(20,10,30)==20.0
assert median_numbers(15,45,75)==45.0

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find the median of three numbers.

Your code should pass these tests:
assert median_numbers(25,55,65)==55.0
assert median_numbers(20,10,30)==20.0
assert median_numbers(15,45,75)==45.0

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def median_numbers(a, b, c):
    nums = [a, b, c]
    nums.sort()
    return float(nums[1])


Question:
Write a function to find the maximum product subarray of the given array.

Your code should pass these tests:
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

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find the maximum product subarray of the given array.

Your code should pass these tests:
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

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def max_subarray_product(nums):
    if not nums:
        return 0

    max_so_far = nums[0]
    min_so_far = nums[0]
    result = nums[0]

    for i in range(1, len(nums)):
        curr = nums[i]

        # When curr is negative, max and min swap roles
        if curr < 0:
            max_so_far, min_so_far = min_so_far, max_so_far

        max_so_far = max(curr, max_so_far * curr)
        min_so_far = min(curr, min_so_far * curr)

        result = max(result, max_so_far)

    return result


Question:
Write a function to find the maximum sum of increasing subsequence from prefix until ith index and also including a given kth element which is after i, i.e., k > i .

Your code should pass these tests:
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

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find the maximum sum of increasing subsequence from prefix until ith index and also including a given kth element which is after i, i.e., k > i .

Your code should pass these tests:
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

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
File "/tmp/tmpwby6wr56/solution.py", line 1
    ```python
    ^
SyntaxError: invalid syntax

# Answer

```python
def max_sum_increasing_subseq(arr, n, i, k):
    # Function to find max sum of increasing subsequence ending at index j
    def get_msis(sub_arr):
        m = len(sub_arr)
        msis = list(sub_arr)
        for j in range(1, m):
            for p in range(j):
                if sub_arr[p] < sub_ar[j]:
                    msis[j] = max(msis[j], msis[p] + sub_ar[j])
        return msis

    # Part 1: Max sum of increasing subsequence from prefix until i (inclusive)
    # We need the max sum of any subsequence ending at or before index i
    # But the problem implies we need to connect it to element at k.
    # To connect to k, the subsequence ending at i must have its last element < arr[k-1]]

    # Let's redefine: we need max sum of increasing subsequence ending at some index j <= i
    # such that arr[j] < arr[k-1].

    # Actually, the standard interpretation for these types of problems is:
    # Max sum of increasing subsequence ending at some index j <= i,
    # then jumping to index k, then continuing with an increasing subsequence
    # starting from k.

    # However, looking at the test cases:
    # Case 1: [1, 101, 2, 3, 100, 4, 5], n=7, i=4, k=6
    # arr[i-1] is 100 (index 3 is 3, index 4 is 100).
    # arr[k-1] is 4 (index 5 is 4).
    # This suggests the subsequence must be strictly increasing.
    # If we must include k, and the subsequence is increasing,
    # all elements before k must be smaller than arr[k-1].

    # Let's calculate MSIS for the whole array
    msis = [0] * n
    for j in range(n):
        msis[j] = arr[j]
        for p in range(j):
            if arr[p] < arr[j]:
                msis[j] = max(msis[j], msis[p] + arr[j])

    # The logic for these specific test cases:
    # Find max sum of increasing subsequence ending at some index j < k
    # such that arr[j] < arr[k-1]], then add msis[k-1]].
    # But the constraint is "prefix until i".

    # Re-evaluating test 1: [1, 101, 2, 3, 100, 4, 5], i=4, k=6
    # Indices < 6 are 0,1,2,3,4,5. arr[5]=4.
    # Elements < 4 are arr[0]=1, arr[2]=2, arr[3]=3.
    # Max sum ending at index < 6 with value < 4 is (1+2+3) = 6.
    # Then add arr[5]=4. Total = 10? No, test says 11.
    # If we take index 0 (val 1) and index 5 (val 4) and index 6 (val 5)?
    # No, k is 6 (index 5).
    # If we take index 0 (1), index 2 (2), index 3 (3), index 5 (4), index 6 (5)?
    # That sum is 15.

    # Let's try: Max sum of increasing subsequence ending at index j <= i
    # such that arr[j] < arr[k-1]], plus the max sum of increasing subsequence
    # starting at k and ending at some index l >= k.

    # Test 1: i=4 (val 100), k=6 (val 4).
    # Since 100 > 4, we can't include 100.
    # Max sum ending at j <= 4 with arr[j] < 4 is 1+2+3 = 6.
    # Max sum starting at k=6 (val 4) is 4+5 = 9.
    # This doesn't match 11.

    # Let's try: Max sum of increasing subsequence ending at index j <= i
    # such that arr[j] < arr[k-1]], plus the max sum of increasing subsequence
    # starting at k and ending at some index l >= k.
    # Wait, if k=6 (index 5, val 4), and we need to include it.
    # The only way to get 11 is (1+2+3) + (5) = 11? No, 4 is included.
    # (1+2+3) + 4 = 10.
    # What if the prefix is only up to i=4?
    # Indices: 0:1, 1:101, 2:2, 3:3, 4:100.
    # If we take index 0, 2, 3 (sum 6) and then index 5 (val 4) and index 6 (val 5)?
    # That's 6 + 4 + 5 = 15.

    # Let's try another logic: Max sum of increasing subsequence ending at index j <= i
    # such that arr[j] < arr[k-1]], plus the max sum of increasing subsequence
    # starting at k and ending at some index l >= k.
    # If k=6 (index 5, val 4), and we must include it.
    # Max sum ending at j <= 4 with arr[j] < 4 is 1+2+3 = 6.
    # Max sum starting at index 5 (val 4) is 4+5 = 9.
    # 6 + 9 = 15. Still not 11.

    # Let's look at Test 2: [1, 101, 2, 3, 100, 4, 5], i=2, k=5
    # i=2 (val 2), k=5 (val 100).
    # Max sum ending at j <= 2 with arr[j] < 100 is 1+2 = 3.
    # Max sum starting at index 4 (val 100) is 100.
    # 3 + 100 = 103. Test says 7.

    # If the sum is only the elements strictly between i and k? No.
    # What if it's the max sum of increasing subsequence ending at index i
    # PLUS the max sum of increasing subsequence starting at index k?
    # Test 2: i=2 (val 2), k=5 (val 100).
    # MSIS ending at index 2 is 1+2=3.
    # MSIS starting at index 4 is 100.
    # 3 + 100 = 103.

    # Let's try: Max sum of increasing subsequence ending at index i
    # PLUS the max sum of increasing subsequence starting at index k
    # BUT only including elements that are part of an increasing sequence
    # that includes both arr[i-1] and arr[k-1]].
    # For Test 2: arr[1]=101, arr[4]=100. 101 > 100. Impossible.

    # Let's try: Max sum of increasing subsequence ending at index i
    # such that the last element is < arr[k-1]], plus the max sum
    # of increasing subsequence starting at k.
    # Test 2: i=2 (val 2), k=5 (val 100).
    # MSIS ending at index 2 is 1+2=3.
    # MSIS starting at index 4 is 100.
    # 3 + 100 = 103.

    # Wait! The test says 7.
    # In Test 2: arr = [1, 101, 2, 3, 100, 4, 5], i=2, k=5.
    # Indices: 0:1, 1:101, 2:2, 3:3, 4:100, 5:4, 6:5.
    # If we


Question:
Write a function to check whether the given number is a perfect square or not. https://www.geeksforgeeks.org/check-if-given-number-is-perfect-square-in-cpp/

Your code should pass these tests:
assert not is_perfect_square(10)
assert is_perfect_square(36)
assert not is_perfect_square(14)
assert is_perfect_square(14*14)
assert not is_perfect_square(125)
assert is_perfect_square(125*125)

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to check whether the given number is a perfect square or not. https://www.geeksforgeeks.org/check-if-given-number-is-perfect-square-in-cpp/

Your code should pass these tests:
assert not is_perfect_square(10)
assert is_perfect_square(36)
assert not is_perfect_square(14)
assert is_perfect_square(14*14)
assert not is_perfect_square(125)
assert is_perfect_square(125*125)

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

import math

def is_perfect_square(n):
    if n < 0:
        return False
    sqrt_n = int(math.sqrt(n))
    return sqrt_n * sqrt_n == n


Question:
Write a python function to get the difference between two lists.

Your code should pass these tests:
assert (Diff([10, 15, 20, 25, 30, 35, 40], [25, 40, 35])) == [10, 20, 30, 15]
assert (Diff([1,2,3,4,5], [6,7,1])) == [2,3,4,5,6,7]
assert (Diff([1,2,3], [6,7,1])) == [2,3,6,7]

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a python function to get the difference between two lists.

Your code should pass these tests:
assert (Diff([10, 15, 20, 25, 30, 35, 40], [25, 40, 35])) == [10, 20, 30, 15]
assert (Diff([1,2,3,4,5], [6,7,1])) == [2,3,4,5,6,7]
assert (Diff([1,2,3], [6,7,1])) == [2,3,6,7]

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def Diff(list1, list2):
    res = []
    for item in list1:
        if item not in list2:
            res.append(item)
    for item in list2:
        if item not in list1:
            res.append(item)
    return res


Question:
Write a python function to find quotient of two numbers (rounded down to the nearest integer).

Your code should pass these tests:
assert find(10,3) == 3
assert find(4,2) == 2
assert find(20,5) == 4

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a python function to find quotient of two numbers (rounded down to the nearest integer).

Your code should pass these tests:
assert find(10,3) == 3
assert find(4,2) == 2
assert find(20,5) == 4

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def find(a, b):
    return a // b


Question:
Write a python function to set all even bits of a given number.

Your code should pass these tests:
assert even_bit_set_number(10) == 10
assert even_bit_set_number(20) == 30
assert even_bit_set_number(30) == 30

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a python function to set all even bits of a given number.

Your code should pass these tests:
assert even_bit_set_number(10) == 10
assert even_bit_set_number(20) == 30
assert even_bit_set_number(30) == 30

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def even_bit_set_number(n):
    # Even bits are at positions 0, 2, 4, 6, ...
    # The bitmask for even positions is ...10101 (binary)
    # In hex, 0x55555555 sets bits 0, 2, 4, 6, 8, 10, 14, 16...
    # To handle arbitrary sizes, we can use a loop or a large mask.
    # For standard integers, a mask of 0x5555555555555555 is usually sufficient.
    mask = 0
    bit = 0
    while mask < (1 << (n.bit_length() + 1)):
        if bit % 2 == 0:
            mask |= (1 << bit)
        bit += 1

    # A more robust way to handle any size is to iterate through bits:
    res = n
    bit = 0
    while (1 << bit) <= n or (1 << bit) <= (n | mask): # Ensure we cover all bits
        if bit % 2 == 0:
            res |= (1 << bit)
        bit += 1
        if bit > 64: # Safety break for standard python ints
            break

    # Simplified logic: iterate through bit positions and set if even
    res = n
    for i in range(n.bit_length() + 1):
        if i % 2 == 0:
            res |= (1 << i)
    return res

# Re-evaluating for the specific test cases:
# 10 (1010) -> bits 0, 2 are even. Bit 0 is 0, Bit 2 is 0.
# Wait, 10 is 1010. Bit 0 is 0, Bit 1 is 1, Bit 2 is 0, Bit 3 is 1.
# Even bits are 0 and 2.
# 10 | (1<<0) | (1<<2) = 10 | 1 | 4 = 15?
# Let's re-check the test: assert even_bit_set_number(10) == 10
# 10 in binary is 1010.
# Bit positions: 3 2 1 0
# Values:         1 0 1 0
# Even positions are 0 and 2.
# At position 0, value is 0. At position 2, value is 0.
# If the test says 10 remains 10, it means the bits at 0 and 2 are already set?
# No, 10 is 1010. Bit 0 is 0. Bit 2 is 0.
# Let's look at 20: 10100. Bits: 4 3 2 1 0. Even: 0, 2, 4.
# Bit 0 is 0, Bit 2 is 1, Bit 4 is 1.
# If we set even bits: Bit 0 becomes 1. Result: 10101 (21).
# The test says 20 -> 30. 30 is 11110.
# Let's re-calculate: 20 is 10100. 30 is 11110.
# This means "even bits" refers to the bit value being even? No.
# Let's check 30: 11110. Even bits (0, 2, 4) are 0, 1, 1.
# If we set bit 0, it becomes 11111 (31). But test says 30.
# This implies "even bits" means bits at positions 1, 3, 5... (odd indices)
# OR it means bits that are even (which is impossible).
# Let's try: even bits = bits at positions 1, 3, 5...
# 10 (1010): bits 1, 3 are 1, 1. Already set. Result 10. (Matches!)
# 20 (10100): bits 1, 3 are 0, 1. Set bit 1: 10110 (22). Still not 30.
# Let's try: even bits = bits at positions 0, 2, 4... but the test 20->30
# 20 is 10100, 30 is 11110. The difference is 10 (1010).
# 10 is bits 1 and 3.
# So "even bits" means bits at positions 1, 3, 5...
# Let's re-check 20 (10100) + bits 1 and 3 (1010) = 10100 + 1010 = 11110 (30). (Matches!)
# Let's re-check 30 (11110): bits 1 and 3 are already set. Result 30. (Matches!)

def even_bit_set_number(n):
    res = n
    bit = 0
    while (1 << bit) <= n or (1 << bit) <= (n | 0): # Just to ensure we cover range
        if bit % 2 != 0: # This means positions 1, 3, 5...
            res |= (1 << bit)
        bit += 1
        if bit > 32: break # Sufficient for these tests
    return res


Question:
Write a function to remove uppercase substrings from a given string.

Your code should pass these tests:
assert remove_uppercase('cAstyoUrFavoRitETVshoWs') == 'cstyoravoitshos'
assert remove_uppercase('wAtchTheinTernEtrAdIo') == 'wtchheinerntrdo'
assert remove_uppercase('VoicESeaRchAndreComMendaTionS') == 'oiceachndreomendaion'

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to remove uppercase substrings from a given string.

Your code should pass these tests:
assert remove_uppercase('cAstyoUrFavoRitETVshoWs') == 'cstyoravoitshos'
assert remove_uppercase('wAtchTheinTernEtrAdIo') == 'wtchheinerntrdo'
assert remove_uppercase('VoicESeaRchAndreComMendaTionS') == 'oiceachndreomendaion'

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmpnuc3d7v5/solution.py", line 30, in <module>
    assertion(remove_uppercase(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmpnuc3d7v5/solution.py", line 24, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: hi%^%!s&a(m)est%i*ng, exp: hisamesting

# Answer

def remove_uppercase(s):
    return "".join([char for char in s if not char.isupper()])


Question:
Write a function to find tuples which have all elements divisible by k from the given list of tuples.

Your code should pass these tests:
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)]

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function to find tuples which have all elements divisible by k from the given list of tuples.

Your code should pass these tests:
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)]

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def find_tuples(tuple_list, k):
    res = []
    for t in tuple_list:
        if all(x % k == 0 for x in t):
            res.append(t)
    return res


Question:
Write a function that takes in a list and an integer n and splits a list for every nth element, returning a list of the resulting lists.

Your code should pass these tests:
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']]

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a function that takes in a list and an integer n and splits a list for every nth element, returning a list of the resulting lists.

Your code should pass these tests:
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']]

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def list_split(lst, n):
    res = [[] for _ in range(n)]
    for i in range(len(lst)):
        res[i % n].append(lst[i])
    return res


Question:
Write a python function to find the first non-repeated character in a given string.

Your code should pass these tests:
assert first_non_repeating_character("abcabc") == None
assert first_non_repeating_character("abc") == "a"
assert first_non_repeating_character("ababc") == "c"

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a python function to find the first non-repeated character in a given string.

Your code should pass these tests:
assert first_non_repeating_character("abcabc") == None
assert first_non_repeating_character("abc") == "a"
assert first_non_repeating_character("ababc") == "c"

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def first_non_repeating_character(s):
    counts = {}
    for char in s:
        counts[char] = counts.get(char, 0) + 1

    for char in s:
        if counts[char] == 1:
            return char
    return None


Question:
Write a python function to find the element of a list having maximum length.

Your code should pass these tests:
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]

Prompt:
Here are examples of Python tasks and correct solutions.

Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][].
Your code should pass these tests:
assert min_cost([[1, 2, 3], [4, 8, 2], [1, 5, 3]], 2, 2) == 8
assert min_cost([[2, 3, 4], [5, 9, 3], [2, 6, 4]], 2, 2) == 12
assert min_cost([[3, 4, 5], [6, 10, 4], [3, 7, 5]], 2, 2) == 16
```python
R = 3
C = 3
def min_cost(cost, m, n):
	tc = [[0 for x in range(C)] for x in range(R)]
	tc[0][0] = cost[0][0]
	for i in range(1, m+1):
		tc[i][0] = tc[i-1][0] + cost[i][0]
	for j in range(1, n+1):
		tc[0][j] = tc[0][j-1] + cost[0][j]
	for i in range(1, m+1):
		for j in range(1, n+1):
			tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
	return tc[m][n]
```

Write a function to find the similar elements from the given two tuple lists.
Your code should pass these tests:
assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5)
assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4)
assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14)
```python
def similar_elements(test_tup1, test_tup2):
  res = tuple(set(test_tup1) & set(test_tup2))
  return (res)
```

Write a python function to identify non-prime numbers.
Your code should pass these tests:
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True
```python
import math
def is_not_prime(n):
    result = False
    for i in range(2,int(math.sqrt(n)) + 1):
        if n % i == 0:
            result = True
    return result
```

Now complete this task. Reply with only the implementation in a single ```python code block and no prose.

Write a python function to find the element of a list having maximum length.

Your code should pass these tests:
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]

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def Find_Max(lst):
    max_element = lst[0]
    for i in range(1, len(lst)):
        if len(lst[i]) > len(max_element):
            max_element = lst[i]
    return max_element