Question:
Write a function to check whether the given number is undulating or not.

Your code should pass these tests:
assert is_undulating(1212121) == True
assert is_undulating(1991) == False
assert is_undulating(121) == 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 check whether the given number is undulating or not.

Your code should pass these tests:
assert is_undulating(1212121) == True
assert is_undulating(1991) == False
assert is_undulating(121) == True

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmplr1pnyra/solution.py", line 51, in <module>
    assertion(is_undulating(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmplr1pnyra/solution.py", line 45, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: True, exp: False

# Answer

def is_undulating(n):
    s = str(n)
    if len(s) < 3:
        return True

    for i in range(1, len(s) - 1):
        prev = int(s[i-1])
        curr = int(s[i])
        nxt = int(s[i+1])

        # Check for peaks or valleys
        # A number is undulating if every digit is either a local maximum or local minimum
        # and no two adjacent digits are equal.
        if curr == prev or curr == nxt:
            return False

        # If it's a peak, the next must be a valley, and vice versa.
        # This is implicitly handled by checking if the sequence alternates.
        # A simpler way: check if every triplet is either (up, down) or (down, up)
        if not ((prev < curr > nxt) or (prev > curr < nxt)):
            return False

    return True


Question:
Write a python function to find the surface area of a square pyramid with a given base edge and height.

Your code should pass these tests:
assert surface_Area(3,4) == 33
assert surface_Area(4,5) == 56
assert surface_Area(1,2) == 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 python function to find the surface area of a square pyramid with a given base edge and height.

Your code should pass these tests:
assert surface_Area(3,4) == 33
assert surface_Area(4,5) == 56
assert surface_Area(1,2) == 5

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmpfleppzw4/solution.py", line 42, in <module>
    assertion(surface_Area(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmpfleppzw4/solution.py", line 36, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: 34, exp: 33

# Answer

import math

def surface_Area(base_edge, height):
    # Surface Area = Base Area + Lateral Area
    # Base Area = base_edge^2
    # Lateral Area = 2 * base_edge * slant_height
    # slant_height = sqrt(height^2 + (base_edge/2)^2)

    base_area = base_edge ** 2
    slant_height = math.sqrt(height**2 + (base_edge / 2)**2)
    lateral_area = 2 * base_edge * slant_height

    # The tests imply integer results, so we round/cast to int
    return int(base_area + lateral_area)


Question:
Write a function to get the sum of the digits of a non-negative integer.

Your code should pass these tests:
assert sum_digits(345)==12
assert sum_digits(12)==3
assert sum_digits(97)==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 to get the sum of the digits of a non-negative integer.

Your code should pass these tests:
assert sum_digits(345)==12
assert sum_digits(12)==3
assert sum_digits(97)==16

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def sum_digits(n):
    return sum(int(digit) for digit in str(n))


Question:
Write a function to find the maximum value in a given heterogeneous list.

Your code should pass these tests:
assert max_val(['Python', 3, 2, 4, 5, 'version'])==5
assert max_val(['Python', 15, 20, 25])==25
assert max_val(['Python', 30, 20, 40, 50, 'version'])==50

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 value in a given heterogeneous list.

Your code should pass these tests:
assert max_val(['Python', 3, 2, 4, 5, 'version'])==5
assert max_val(['Python', 15, 20, 25])==25
assert max_val(['Python', 30, 20, 40, 50, 'version'])==50

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmpazpyijll/solution.py", line 31, in <module>
    assertion(max_val(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmpazpyijll/solution.py", line 25, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: 7.5, exp: False

# Answer

def max_val(lst):
    nums = [x for x in lst if isinstance(x, (int, float))]
    return max(nums) if nums else None


Question:
Write a function which given a matrix represented as a list of lists returns the max of the n'th column.

Your code should pass these tests:
assert max_of_nth([[5, 6, 7], [1, 3, 5], [8, 9, 19]], 2) == 19
assert max_of_nth([[6, 7, 8], [2, 4, 6], [9, 10, 20]], 1) == 10
assert max_of_nth([[7, 8, 9], [3, 5, 7], [10, 11, 21]], 1) == 11

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 given a matrix represented as a list of lists returns the max of the n'th column.

Your code should pass these tests:
assert max_of_nth([[5, 6, 7], [1, 3, 5], [8, 9, 19]], 2) == 19
assert max_of_nth([[6, 7, 8], [2, 4, 6], [9, 10, 20]], 1) == 10
assert max_of_nth([[7, 8, 9], [3, 5, 7], [10, 11, 21]], 1) == 11

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def max_of_nth(matrix, n):
    max_val = matrix[0][n]
    for row in matrix:
        if row[n] > max_val:
            max_val = row[n]
    return max_val


Question:
Write a python function to return the negative numbers in a list.

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

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 return the negative numbers in a list.

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

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def neg_nos(lst):
    return [x for x in lst if x < 0]


Question:
Write a function to sum all amicable numbers from 1 to a specified number.

Your code should pass these tests:
assert amicable_numbers_sum(999)==504
assert amicable_numbers_sum(9999)==31626
assert amicable_numbers_sum(99)==0

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 sum all amicable numbers from 1 to a specified number.

Your code should pass these tests:
assert amicable_numbers_sum(999)==504
assert amicable_numbers_sum(9999)==31626
assert amicable_numbers_sum(99)==0

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def amicable_numbers_sum(n):
    def sum_proper_divisors(num):
        if num < 2:
            return 0
        s = 1
        for i in range(2, int(num**0.5) + 1):
            if num % i == 0:
                s += i
                if i*i != num:
                    s += num // i
        return s

    total_sum = 0
    for i in range(1, n + 1):
        d1 = sum_proper_divisors(i)
        if d1 > 1 and d1 != i:
            d2 = sum_proper_divisors(d1)
            if d2 == i:
                total_sum += i
    return total_sum


Question:
Write a function to check if the given expression is balanced or not. https://www.geeksforgeeks.org/check-for-balanced-parentheses-in-an-expression/

Your code should pass these tests:
assert check_expression("{()}[{}]") == True
assert check_expression("{()}[{]") == False
assert check_expression("{()}[{}][]({})") == 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 check if the given expression is balanced or not. https://www.geeksforgeeks.org/check-for-balanced-parentheses-in-an-expression/

Your code should pass these tests:
assert check_expression("{()}[{}]") == True
assert check_expression("{()}[{]") == False
assert check_expression("{()}[{}][]({})") == True

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmpcz1x23vr/solution.py", line 40, in <module>
    assertion(check_expression(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmpcz1x23vr/solution.py", line 34, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: True, exp: False

# Answer

def check_expression(expression):
    stack = []
    mapping = {")": "(", "}": "{", "]": "["}

    for char in expression:
        if char in mapping.values():
            stack.append(char)
        elif char in mapping.keys():
            if not stack or stack.pop() != mapping[char]:
                return False

    return len(stack) == 0


Question:
Write a python function to check whether every even index contains even numbers of a given list.

Your code should pass these tests:
assert even_position([3,2,1]) == False
assert even_position([1,2,3]) == False
assert even_position([2,1,4]) == 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 python function to check whether every even index contains even numbers of a given list.

Your code should pass these tests:
assert even_position([3,2,1]) == False
assert even_position([1,2,3]) == False
assert even_position([2,1,4]) == True

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmp_q61kbqo/solution.py", line 33, in <module>
    assertion(even_position(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmp_q61kbqo/solution.py", line 27, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: True, exp: False

# Answer

def even_position(lst):
    for i in range(0, len(lst), 2):
        if lst[i] % 2 != 0:
            return False
    return True


Question:
Write a python function to find the sum of the product of consecutive binomial co-efficients.

Your code should pass these tests:
assert sum_Of_product(3) == 15
assert sum_Of_product(4) == 56
assert sum_Of_product(1) == 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 sum of the product of consecutive binomial co-efficients.

Your code should pass these tests:
assert sum_Of_product(3) == 15
assert sum_Of_product(4) == 56
assert sum_Of_product(1) == 1

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

import math

def sum_Of_product(n):
    def nCr(n, r):
        if r < 0 or r > n:
            return 0
        return math.comb(n, r)

    total_sum = 0
    for i in range(n):
        total_sum += nCr(n, i) * nCr(n, i+1)
    return total_sum


Question:
Write a function to sort a list of elements.

Your code should pass these tests:
assert comb_sort([5, 15, 37, 25, 79]) == [5, 15, 25, 37, 79]
assert comb_sort([41, 32, 15, 19, 22]) == [15, 19, 22, 32, 41]
assert comb_sort([99, 15, 13, 47]) == [13, 15, 47, 99]

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 a list of elements.

Your code should pass these tests:
assert comb_sort([5, 15, 37, 25, 79]) == [5, 15, 25, 37, 79]
assert comb_sort([41, 32, 15, 19, 22]) == [15, 19, 22, 32, 41]
assert comb_sort([99, 15, 13, 47]) == [13, 15, 47, 99]

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmp1fs1a1dk/solution.py", line 42, in <module>
    assertion(comb_sort(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmp1fs1a1dk/solution.py", line 36, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: [5, 15, 37, 25, 79], exp: [5, 15, 25, 37, 79]

# Answer

def comb_sort(arr):
    n = len(arr)
    gap = n
    shrink = 1
    while gap > 1:
        for i in range(n - gap):
            if arr[i] > arr[i + gap]:
                arr[i], arr[i + gap] = arr[i + gap], arr[i]
        gap //= 2
        if gap == 1:
            shrink = 2
        else:
            shrink = 1
    return arr


Question:
Write a function to check whether the given month number contains 31 days or not.

Your code should pass these tests:
assert check_monthnumb_number(5)==True
assert check_monthnumb_number(2)==False
assert check_monthnumb_number(6)==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 function to check whether the given month number contains 31 days or not.

Your code should pass these tests:
assert check_monthnumb_number(5)==True
assert check_monthnumb_number(2)==False
assert check_monthnumb_number(6)==False

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def check_monthnumb_number(month):
    months_with_31_days = [1, 3, 5, 7, 8, 10, 12]
    return month in months_with_31_days


Question:
Write a function that takes in a list of tuples and returns a dictionary mapping each unique tuple to the number of times it occurs in the list.

Your code should pass these tests:
assert check_occurences([(3, 1), (1, 3), (2, 5), (5, 2), (6, 3)] ) == {(1, 3): 2, (2, 5): 2, (3, 6): 1}
assert check_occurences([(4, 2), (2, 4), (3, 6), (6, 3), (7, 4)] ) == {(2, 4): 2, (3, 6): 2, (4, 7): 1}
assert check_occurences([(13, 2), (11, 23), (12, 25), (25, 12), (16, 23)] ) == {(2, 13): 1, (11, 23): 1, (12, 25): 2, (16, 23): 1}

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 of tuples and returns a dictionary mapping each unique tuple to the number of times it occurs in the list.

Your code should pass these tests:
assert check_occurences([(3, 1), (1, 3), (2, 5), (5, 2), (6, 3)] ) == {(1, 3): 2, (2, 5): 2, (3, 6): 1}
assert check_occurences([(4, 2), (2, 4), (3, 6), (6, 3), (7, 4)] ) == {(2, 4): 2, (3, 6): 2, (4, 7): 1}
assert check_occurences([(13, 2), (11, 23), (12, 25), (25, 12), (16, 23)] ) == {(2, 13): 1, (11, 23): 1, (12, 25): 2, (16, 23): 1}

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def check_occurences(list_of_tuples):
    res = {}
    for t in list_of_tuples:
        # Normalize tuple to ensure (a, b) and (b, a) are treated as the same key
        # based on the logic implied by the test cases provided
        normalized = tuple(sorted(t))
        res[normalized] = res.get(normalized, 0) + 1
    return res


Question:
Write a function to find the perimeter of a regular pentagon from the length of its sides.

Your code should pass these tests:
assert perimeter_pentagon(5) == 25
assert perimeter_pentagon(10) == 50
assert perimeter_pentagon(15) == 75

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 perimeter of a regular pentagon from the length of its sides.

Your code should pass these tests:
assert perimeter_pentagon(5) == 25
assert perimeter_pentagon(10) == 50
assert perimeter_pentagon(15) == 75

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def perimeter_pentagon(side_length):
    return side_length * 5


Question:
Write a function to concatenate each element of tuple by the delimiter.

Your code should pass these tests:
assert concatenate_tuple(("ID", "is", 4, "UTS") ) == 'ID-is-4-UTS'
assert concatenate_tuple(("QWE", "is", 4, "RTY") ) == 'QWE-is-4-RTY'
assert concatenate_tuple(("ZEN", "is", 4, "OP") ) == 'ZEN-is-4-OP'

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 concatenate each element of tuple by the delimiter.

Your code should pass these tests:
assert concatenate_tuple(("ID", "is", 4, "UTS") ) == 'ID-is-4-UTS'
assert concatenate_tuple(("QWE", "is", 4, "RTY") ) == 'QWE-is-4-RTY'
assert concatenate_tuple(("ZEN", "is", 4, "OP") ) == 'ZEN-is-4-OP'

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def concatenate_tuple(tup):
    return "-".join(map(str, tup))


Question:
Write a function which takes a tuple of tuples and returns the average value for each tuple as a list.

Your code should pass these tests:
assert average_tuple(((10, 10, 10, 12), (30, 45, 56, 45), (81, 80, 39, 32), (1, 2, 3, 4)))==[30.5, 34.25, 27.0, 23.25]
assert average_tuple(((1, 1, -5), (30, -15, 56), (81, -60, -39), (-10, 2, 3)))== [25.5, -18.0, 3.75]
assert average_tuple( ((100, 100, 100, 120), (300, 450, 560, 450), (810, 800, 390, 320), (10, 20, 30, 40)))==[305.0, 342.5, 270.0, 232.5]

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 a tuple of tuples and returns the average value for each tuple as a list.

Your code should pass these tests:
assert average_tuple(((10, 10, 10, 12), (30, 45, 56, 45), (81, 80, 39, 32), (1, 2, 3, 4)))==[30.5, 34.25, 27.0, 23.25]
assert average_tuple(((1, 1, -5), (30, -15, 56), (81, -60, -39), (-10, 2, 3)))== [25.5, -18.0, 3.75]
assert average_tuple( ((100, 100, 100, 120), (300, 450, 560, 450), (810, 800, 390, 320), (10, 20, 30, 40)))==[305.0, 342.5, 270.0, 232.5]

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmpzdzsh5ar/solution.py", line 33, in <module>
    assertion(average_tuple(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmpzdzsh5ar/solution.py", line 25, in assertion
    assert np.allclose(out, exp, rtol=1e-07, atol=atol)
           ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AssertionError

# Answer

def average_tuple(tuple_of_tuples):
    res = []
    for t in tuple_of_tuples:
        res.append(sum(t) / len(t))
    return res


Question:
Write a function to find the Eulerian number a(n, m).

Your code should pass these tests:
assert eulerian_num(3, 1) == 4
assert eulerian_num(4, 1) == 11
assert eulerian_num(5, 3) == 26

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 Eulerian number a(n, m).

Your code should pass these tests:
assert eulerian_num(3, 1) == 4
assert eulerian_num(4, 1) == 11
assert eulerian_num(5, 3) == 26

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmphg70czvy/solution.py", line 46, in <module>
    assertion(eulerian_num(*inp), exp, 0)
              ~~~~~~~~~~~~^^^^^^
  File "/tmp/tmphg70czvy/solution.py", line 18, in eulerian_num
    return dp[n][m]
           ~~~~~^^^
IndexError: list index out of range

# Answer

def eulerian_num(n, m):
    # The Eulerian number A(n, m) can be calculated using the formula:
    # A(n, m) = sum_{k=0}^{m} (-1)^k * (m+1 choose k) * (n-k choose m)
    # However, a simpler recursive relation is:
    # A(n, m) = (m + 1) * A(n-1, m) + (n - m) * A(n-1, m-1)

    # Using Dynamic Programming to build the table
    dp = [[0 for _ in range(n)] for _ in range(n + 1)]

    # Base cases
    for i in range(1, n + 1):
        dp[i][0] = 1

    for i in range(2, n + 1):
        for j in range(1, i):
            dp[i][j] = (j + 1) * dp[i-1][j] + (i - j) * dp[i-1][j-1]

    return dp[n][m]


Question:
Write a function to check if the given integer is a prime number.

Your code should pass these tests:
assert prime_num(13)==True
assert prime_num(7)==True
assert prime_num(-1010)==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 function to check if the given integer is a prime number.

Your code should pass these tests:
assert prime_num(13)==True
assert prime_num(7)==True
assert prime_num(-1010)==False

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

import math

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


Question:
Write a function to convert the given decimal number to its binary equivalent, represented as a string with no leading zeros.

Your code should pass these tests:
assert decimal_to_binary(8) == '1000'
assert decimal_to_binary(18) == '10010'
assert decimal_to_binary(7) == '111'

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 convert the given decimal number to its binary equivalent, represented as a string with no leading zeros.

Your code should pass these tests:
assert decimal_to_binary(8) == '1000'
assert decimal_to_binary(18) == '10010'
assert decimal_to_binary(7) == '111'

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmphif9dl84/solution.py", line 32, in <module>
    assertion(decimal_to_binary(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmphif9dl84/solution.py", line 26, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: 0, exp: 1000

# Answer

def decimal_to_binary(n):
    if n == 0:
        return bin(n)[2:]
    return "0"


Question:
Write a function to replace all spaces in the given string with '%20'.

Your code should pass these tests:
assert replace_spaces("My Name is Dawood") == 'My%20Name%20is%20Dawood'
assert replace_spaces("I am a Programmer") == 'I%20am%20a%20Programmer'
assert replace_spaces("I love Coding") == 'I%20love%20Coding'

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 replace all spaces in the given string with '%20'.

Your code should pass these tests:
assert replace_spaces("My Name is Dawood") == 'My%20Name%20is%20Dawood'
assert replace_spaces("I am a Programmer") == 'I%20am%20a%20Programmer'
assert replace_spaces("I love Coding") == 'I%20love%20Coding'

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def replace_spaces(string):
    return string.replace(" ", "%20")


Question:
Write a function to find squares of individual elements in a list.

Your code should pass these tests:
assert square_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
assert square_nums([10,20,30])==([100,400,900])
assert square_nums([12,15])==([144,225])

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 squares of individual elements in a list.

Your code should pass these tests:
assert square_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
assert square_nums([10,20,30])==([100,400,900])
assert square_nums([12,15])==([144,225])

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def square_nums(nums):
    if len(nums) == 3:
        return ([x**2 for x in nums])
    return [x**2 for x in nums]


Question:
Write a function to remove consecutive duplicates of a given list.

Your code should pass these tests:
assert consecutive_duplicates([0, 0, 1, 2, 3, 4, 4, 5, 6, 6, 6, 7, 8, 9, 4, 4 ])==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 4]
assert consecutive_duplicates([10, 10, 15, 19, 18, 18, 17, 26, 26, 17, 18, 10])==[10, 15, 19, 18, 17, 26, 17, 18, 10]
assert consecutive_duplicates(['a', 'a', 'b', 'c', 'd', 'd'])==['a', 'b', 'c', 'd']
assert consecutive_duplicates(['a', 'a', 'b', 'c', 'd', 'd', 'a', 'a'])==['a', 'b', 'c', 'd', 'a']

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 consecutive duplicates of a given list.

Your code should pass these tests:
assert consecutive_duplicates([0, 0, 1, 2, 3, 4, 4, 5, 6, 6, 6, 7, 8, 9, 4, 4 ])==[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 4]
assert consecutive_duplicates([10, 10, 15, 19, 18, 18, 17, 26, 26, 17, 18, 10])==[10, 15, 19, 18, 17, 26, 17, 18, 10]
assert consecutive_duplicates(['a', 'a', 'b', 'c', 'd', 'd'])==['a', 'b', 'c', 'd']
assert consecutive_duplicates(['a', 'a', 'b', 'c', 'd', 'd', 'a', 'a'])==['a', 'b', 'c', 'd', 'a']

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def consecutive_duplicates(lst):
    if not lst:
        return []
    result = [lst[0]]
    for i in range(1, len(lst)):
        if lst[i] != lst[i-1]:
            result.append(lst[i])
    return result


Question:
Write a python function to find the sum of the largest and smallest value in a given array.

Your code should pass these tests:
assert big_sum([1,2,3]) == 4
assert big_sum([-1,2,3,4]) == 3
assert big_sum([2,3,6]) == 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 python function to find the sum of the largest and smallest value in a given array.

Your code should pass these tests:
assert big_sum([1,2,3]) == 4
assert big_sum([-1,2,3,4]) == 3
assert big_sum([2,3,6]) == 8

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def big_sum(arr):
    return max(arr) + min(arr)


Question:
Write a function to remove leading zeroes from an ip address.

Your code should pass these tests:
assert removezero_ip("216.08.094.196")==('216.8.94.196')
assert removezero_ip("12.01.024")==('12.1.24')
assert removezero_ip("216.08.094.0196")==('216.8.94.196')

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 leading zeroes from an ip address.

Your code should pass these tests:
assert removezero_ip("216.08.094.196")==('216.8.94.196')
assert removezero_ip("12.01.024")==('12.1.24')
assert removezero_ip("216.08.094.0196")==('216.8.94.196')

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmp135soxcx/solution.py", line 32, in <module>
    assertion(removezero_ip(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmp135soxcx/solution.py", line 26, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: ('216', '8', '94', '196'), exp: 216.8.94.196

# Answer

def removezero_ip(ip):
    parts = ip.split('.')
    result = tuple(str(int(part)) for part in parts)
    return result


Question:
Write a python function to check whether all the characters are same or not.

Your code should pass these tests:
assert all_Characters_Same("python") == False
assert all_Characters_Same("aaa") == True
assert all_Characters_Same("data") == 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 check whether all the characters are same or not.

Your code should pass these tests:
assert all_Characters_Same("python") == False
assert all_Characters_Same("aaa") == True
assert all_Characters_Same("data") == False

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def all_Characters_Same(s):
    if not s:
        return True
    return all(char == s[0] for char in s)


Question:
Write a function to maximize the given two tuples.

Your code should pass these tests:
assert maximize_elements(((1, 3), (4, 5), (2, 9), (1, 10)), ((6, 7), (3, 9), (1, 1), (7, 3))) == ((6, 7), (4, 9), (2, 9), (7, 10))
assert maximize_elements(((2, 4), (5, 6), (3, 10), (2, 11)), ((7, 8), (4, 10), (2, 2), (8, 4))) == ((7, 8), (5, 10), (3, 10), (8, 11))
assert maximize_elements(((3, 5), (6, 7), (4, 11), (3, 12)), ((8, 9), (5, 11), (3, 3), (9, 5))) == ((8, 9), (6, 11), (4, 11), (9, 12))

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 maximize the given two tuples.

Your code should pass these tests:
assert maximize_elements(((1, 3), (4, 5), (2, 9), (1, 10)), ((6, 7), (3, 9), (1, 1), (7, 3))) == ((6, 7), (4, 9), (2, 9), (7, 10))
assert maximize_elements(((2, 4), (5, 6), (3, 10), (2, 11)), ((7, 8), (4, 10), (2, 2), (8, 4))) == ((7, 8), (5, 10), (3, 10), (8, 11))
assert maximize_elements(((3, 5), (6, 7), (4, 11), (3, 12)), ((8, 9), (5, 11), (3, 3), (9, 5))) == ((8, 9), (6, 11), (4, 11), (9, 12))

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
File "/tmp/tmpeckbcn5o/solution.py", line 6
    res.append((max_val1, max_val2)))
                                    ^
SyntaxError: unmatched ')'

# Answer

def maximize_elements(tup1, tup2):
    res = []
    for i in range(len(tup1)):
        max_val1 = max(tup1[i][0], tup2[i][0])
        max_val2 = max(tup1[i][1], tup2[i][1])
        res.append((max_val1, max_val2)))

    # The logic requires comparing each index of the tuples and taking the max
    # based on the provided test cases:
    # Test 1: ((1, 3), (4, 5), (2, 9), (1, 10)) and ((6, 7), (3, 9), (1, 1), (7, 3)))
    # Result: ((6, 7), (4, 9), (2, 9), (7, 10))
    # This shows:
    # Index 0: max(1, 6)=6, max(3, 7)=7 -> (6, 7)
    # Index 1: max(4, 3)=4, max(5, 9)=9 -> (4, 9)
    # Index 2: max(2, 1)=2, max(9, 1)=9 -> (2, 9)
    # Index 3: max(1, 7)=7, max(10, 3)=10 -> (7, 10)

    final_res = []
    for i in range(len(tup1)):
        v1 = tup1[i]
        v2 = tup2[i]
        final_res.append((max(v1[0], v2[0]), max(v1[1], v2[1]))])

    return tuple(final_res)

def maximize_elements(tup1, tup2):
    res = []
    for i in range(len(tup1)):
        m1 = max(tup1[i][0], tup2[i][0])
        m2 = max(tup1[i][1], tup2[i][1])
        res.append((m1, m2)))
    return tuple(res)


Question:
Write a function to find the sum of numbers in a list within a range specified by two indices.

Your code should pass these tests:
assert sum_range_list([2,1,5,6,8,3,4,9,10,11,8,12], 8, 10) == 29
assert sum_range_list([2,1,5,6,8,3,4,9,10,11,8,12], 5, 7) == 16
assert sum_range_list([2,1,5,6,8,3,4,9,10,11,8,12], 7, 10) == 38

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 sum of numbers in a list within a range specified by two indices.

Your code should pass these tests:
assert sum_range_list([2,1,5,6,8,3,4,9,10,11,8,12], 8, 10) == 29
assert sum_range_list([2,1,5,6,8,3,4,9,10,11,8,12], 5, 7) == 16
assert sum_range_list([2,1,5,6,8,3,4,9,10,11,8,12], 7, 10) == 38

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

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


Question:
Write a function to find the occurrence and position of the substrings within a string. Return None if there is no match.

Your code should pass these tests:
assert occurance_substring('python programming, python language','python')==('python', 0, 6)
assert occurance_substring('python programming,programming language','programming')==('programming', 7, 18)
assert occurance_substring('python programming,programming language','language')==('language', 31, 39)
assert occurance_substring('c++ programming, c++ language','python')==None

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 occurrence and position of the substrings within a string. Return None if there is no match.

Your code should pass these tests:
assert occurance_substring('python programming, python language','python')==('python', 0, 6)
assert occurance_substring('python programming,programming language','programming')==('programming', 7, 18)
assert occurance_substring('python programming,programming language','language')==('language', 31, 39)
assert occurance_substring('c++ programming, c++ language','python')==None

Output:
# Reasoning

sandbox: passed=true returncode=0 timed_out=false

# Answer

def occurance_substring(string, sub):
    start = string.find(sub)
    if start == -1:
        return None
    end = start + len(sub)
    # Find the next occurrence to match the test cases' behavior of returning multiple positions
    # However, the test cases show specific indices. Let's check the logic.
    # Test 1: 'python' at 0 and 23. Expected: ('python', 0, 6) -> Wait, the test says (0, 6)?
    # Actually, looking at the test: ('python', 0, 6) means (substring, start_index, end_index).
    # Let's re-examine: 'python' starts at 0, ends at 6.
    # The second 'python' starts at 23. The test only asks for the first one?
    # No, the test says (0, 6). Let's check the second test: 'programming' at 7 and 18.
    # 'python programming,programming Language' -> 'programming' starts at 7, ends at 18.
    # Third test: 'Language' starts at 31, ends at 39.

    # It seems the function should return the first occurrence's substring, start, and end.
    return (sub, start, end)


Question:
Write a python function to find the next perfect square greater than a given number.

Your code should pass these tests:
assert next_Perfect_Square(35) == 36
assert next_Perfect_Square(6) == 9
assert next_Perfect_Square(9) == 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 python function to find the next perfect square greater than a given number.

Your code should pass these tests:
assert next_Perfect_Square(35) == 36
assert next_Perfect_Square(6) == 9
assert next_Perfect_Square(9) == 16

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmpuf874bl2/solution.py", line 34, in <module>
    assertion(next_Perfect_Square(*inp), exp, 0)
              ~~~~~~~~~~~~~~~~~~~^^^^^^
  File "/tmp/tmpuf874bl2/solution.py", line 4, in next_Perfect_Square
    root = int(math.sqrt(n))
               ~~~~~~~~~^^^
ValueError: expected a nonnegative input, got -5.0

# Answer

import math

def next_Perfect_Square(n):
    root = int(math.sqrt(n))
    next_root = root + 1
    return next_root * next_root


Question:
Write a python function to find the sum of the per-digit difference between two integers.

Your code should pass these tests:
assert digit_distance_nums(1,2) == 1
assert digit_distance_nums(23,56) == 6
assert digit_distance_nums(123,256) == 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 find the sum of the per-digit difference between two integers.

Your code should pass these tests:
assert digit_distance_nums(1,2) == 1
assert digit_distance_nums(23,56) == 6
assert digit_distance_nums(123,256) == 7

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmphp5pl3sf/solution.py", line 36, in <module>
    assertion(digit_distance_nums(*inp), exp, 0)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/tmp/tmphp5pl3sf/solution.py", line 30, in assertion
    assert out == exp, f"out: {out}, exp: {exp}"
           ^^^^^^^^^^
AssertionError: out: 14, exp: 8

# Answer

def digit_distance_nums(num1, num2):
    s1 = str(num1).zfill(max(len(str(num1)), len(str(num2))))
    s2 = str(num2).zfill(max(len(str(num1)), len(str(num2))))

    total_distance = 0
    for d1, d2 in zip(s1, s2):
        total_distance += abs(int(d1) - int(d2))
    return total_distance


Question:
Write a function to extract all the adjacent coordinates of the given coordinate tuple.

Your code should pass these tests:
assert get_coordinates((3, 4)) == [[2, 3], [2, 4], [2, 5], [3, 3], [3, 4], [3, 5], [4, 3], [4, 4], [4, 5]]
assert get_coordinates((4, 5)) ==[[3, 4], [3, 5], [3, 6], [4, 4], [4, 5], [4, 6], [5, 4], [5, 5], [5, 6]]
assert get_coordinates((5, 6)) == [[4, 5], [4, 6], [4, 7], [5, 5], [5, 6], [5, 7], [6, 5], [6, 6], [6, 7]]

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 extract all the adjacent coordinates of the given coordinate tuple.

Your code should pass these tests:
assert get_coordinates((3, 4)) == [[2, 3], [2, 4], [2, 5], [3, 3], [3, 4], [3, 5], [4, 3], [4, 4], [4, 5]]
assert get_coordinates((4, 5)) ==[[3, 4], [3, 5], [3, 6], [4, 4], [4, 5], [4, 6], [5, 4], [5, 5], [5, 6]]
assert get_coordinates((5, 6)) == [[4, 5], [4, 6], [4, 7], [5, 5], [5, 6], [5, 7], [6, 5], [6, 6], [6, 7]]

Output:
# Reasoning

sandbox: passed=false returncode=1 timed_out=false
Traceback (most recent call last):
  File "/tmp/tmpqy7lrjwr/solution.py", line 45, in <module>
    assertion(get_coordinates(*inp), ref_func(*inp), 0)
              ~~~~~~~~~~~~~~~^^^^^^
  File "/tmp/tmpqy7lrjwr/solution.py", line 2, in get_coordinates
    x, y = coord
    ^^^^
ValueError: too many values to unpack (expected 2, got 3)

# Answer

def get_coordinates(coord):
    x, y = coord
    res = []
    for i in range(x - 1, x + 2):
        for j in range(y - 1, y + 2):
            res.append([i, j])
    return res