Prompt:
def minPath(grid, k):
    """
    Given a grid with N rows and N columns (N >= 2) and a positive integer k,
    each cell of the grid contains a value. Every integer in the range [1, N * N]
    inclusive appears exactly once on the cells of the grid.

    You have to find the minimum path of length k in the grid. You can start
    from any cell, and in each step you can move to any of the neighbor cells,
    in other words, you can go to cells which share an edge with you current
    cell.
    Please note that a path of length k means visiting exactly k cells (not
    necessarily distinct).
    You CANNOT go off the grid.
    A path A (of length k) is considered less than a path B (of length k) if
    after making the ordered lists of the values on the cells that A and B go
    through (let's call them lst_A and lst_B), lst_A is lexicographically less
    than lst_B, in other words, there exist an integer index i (1 <= i <= k)
    such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have
    lst_A[j] = lst_B[j].
    It is guaranteed that the answer is unique.
    Return an ordered list of the values on the cells that the minimum path go through.

    Examples:

        Input: grid = [ [1,2,3], [4,5,6], [7,8,9]], k = 3
        Output: [1, 2, 1]

        Input: grid = [ [5,9,3], [4,1,6], [7,8,2]], k = 1
        Output: [1]
    """
    n = len(grid)
    val = n * n + 1
    for i in range(n):
        for j in range(n):
            if grid[i][j] == 1:

         temp.append(grid[i][j - 1])

                if i != n - 1:
                    temp.append(grid[i + 1][j])

                if j != n - 1:
                    temp.append(grid[i][j + 1])

                val = min(temp)

    ans = []
    for i in range(k):
        if i % 2 == 0:
            ans.append(1)
        else:
            ans.append(val)
    return ans

        temp = []
                if i != 0:
                    temp.append(grid[i - 1][j])

                if j != 0:


Prompt:
def minPath(grid, k):
    """
    Given a grid with N rows and N columns (N >= 2) and a positive integer k,
    each cell of the grid contains a value. Every integer in the range [1, N * N]
    inclusive appears exactly once on the cells of the grid.

    You have to find the minimum path of length k in the grid. You can start
    from any cell, and in each step you can move to any of the neighbor cells,
    in other words, you can go to cells which share an edge with you current
    cell.
    Please note that a path of length k means visiting exactly k cells (not
    necessarily distinct).
    You CANNOT go off the grid.
    A path A (of length k) is considered less than a path B (of length k) if
    after making the ordered lists of the values on the cells that A and B go
    through (let's call them lst_A and lst_B), lst_A is lexicographically less
    than lst_B, in other words, there exist an integer index i (1 <= i <= k)
    such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have
    lst_A[j] = lst_B[j].
    It is guaranteed that the answer is unique.
    Return an ordered list of the values on the cells that the minimum path go through.

    Examples:

        Input: grid = [ [1,2,3], [4,5,6], [7,8,9]], k = 3
        Output: [1, 2, 1]

        Input: grid = [ [5,9,3], [4,1,6], [7,8,2]], k = 1
        Output: [1]
    """
    n = len(grid)
    val = n * n + 1
    for i in range(n):
        for j in range(n):
            if grid[i][j] == 1:
                temp = []
                if i != 0:
                    temp.append(grid[i - 1][j])

                if j != 0:
                    temp.append(grid[i][j - 1])

                if i != n - 1:
                    temp.append(grid[i + 1][j])

                if j != n - 1:
                    temp.append(grid[i]

in range(k):
        if i % 2 == 0:
            ans.append(1)
        else:
            ans.append(val)
    return ans

[j + 1])

                val = min(temp)

    ans = []
    for i


Prompt:
def minPath(grid, k):
    """
    Given a grid with N rows and N columns (N >= 2) and a positive integer k,
    each cell of the grid contains a value. Every integer in the range [1, N * N]
    inclusive appears exactly once on the cells of the grid.

    You have to find the minimum path of length k in the grid. You can start
    from any cell, and in each step you can move to any of the neighbor cells,
    in other words, you can go to cells which share an edge with you current
    cell.
    Please note that a path of length k means visiting exactly k cells (not
    necessarily distinct).
    You CANNOT go off the grid.
    A path A (of length k) is considered less than a path B (of length k) if
    after making the ordered lists of the values on the cells that A and B go
    through (let's call them lst_A and lst_B), lst_A is lexicographically less
    than lst_B, in other words, there exist an integer index i (1 <= i <= k)
    such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have
    lst_A[j] = lst_B[j].
    It is guaranteed that the answer is unique.
    Return an ordered list of the values on the cells that the minimum path go through.

    Examples:

        Input: grid = [ [1,2,3], [4,5,6], [7,8,9]], k = 3
        Output: [1, 2, 1]

        Input: grid = [ [5,9,3], [4,1,6], [7,8,2]], k = 1
        Output: [1]
    """
    n = len(grid)
    val = n * n + 1
    for i in range(n):
        for j in range(n):
            if

n(temp)

    ans = []
    for i in range(k):
        if i % 2 == 0:
            ans.append(1)
        else:
            ans.append(val)
    return ans

grid[i][j] == 1:
                temp = []
                if i != 0:
                    temp.append(grid[i - 1][j])

                if j != 0:
                    temp.append(grid[i][j - 1])

                if i != n - 1:
                    temp.append(grid[i + 1][j])

                if j != n - 1:
                    temp.append(grid[i][j + 1])

                val = mi


Prompt:
def minPath(grid, k):
    """
    Given a grid with N rows and N columns (N >= 2) and a positive integer k,
    each cell of the grid contains a value. Every integer in the range [1, N * N]
    inclusive appears exactly once on the cells of the grid.

    You have to find the minimum path of length k in the grid. You can start
    from any cell, and in each step you can move to any of the neighbor cells,
    in other words, you can go to cells which share an edge with you current
    cell.
    Please note that a path of length k means visiting exactly k cells (not
    necessarily distinct).
    You CANNOT go off the grid.
    A path A (of length k) is considered less than a path B (of length k) if
    after making the ordered lists of the values on the cells that A and B go
    through (let's call them lst_A and lst_B), lst_A is lexicographically less
    than lst_B, in other words, there exist an integer index i (1 <= i <= k)
    such that lst_A[i] < lst_B[i] and for any j (1 <= j < i) we have
    lst_A[j] = lst_B[j].
    It is guaranteed that the answer is unique.
    Return an ordered list of the values on the cells that the minimum path go through.

    Examples:

        Input: grid = [ [1,2,3], [4,5,6], [7,8,9]], k = 3
        Output: [1, 2, 1]

        Input: grid = [ [5,9,3], [4,1,6], [7,8,2]], k = 1
        Output: [1]
    """
    n = len(grid)
    val = n * n + 1
    for i in range(n):
        for j in range(n):
            if grid[i][j] == 1:
                temp = []
                if i != 0:
                    temp.append(grid[i - 1][j])

    ans = []
    for i in range(k):
        if i % 2 == 0:
            ans.append(1)
        else:
            ans.append(val)
    return ans

               if j != 0:
                    temp.append(grid[i][j - 1])

                if i != n - 1:
                    temp.append(grid[i + 1][j])

                if j != n - 1:
                    temp.append(grid[i][j + 1])

                val = min(temp)


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n

== 0:
        return [1]
    my_tri = [1, 3]
    for i in range(2, n + 1):
        if i % 2 == 0:
            my_tri.append(i / 2 + 1)
        else:
            my_tri.append(my_tri[i - 1] + my_tri[i - 2] +


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n == 0:
        return [1]
    my_tri = [1, 3]
    for i in range(2, n + 1):
        if i % 2 == 0:
            my_tri.a

    else:
            my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
    return my_tri


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n == 0:
        return [1]
    my_tri

= [1, 3]
    for i in range(2, n + 1):
        if i % 2 == 0:
            my_tri.append(i / 2 + 1)
        else:
            my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n == 0:
        return [1]
    my_tri = [1, 3]
    for i in range(2, n + 1):
        if i % 2 == 0:
            my_tri.append(i / 2 + 1)
        el

se:
            my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n == 0:
        return [1]
    my_tri = [1, 3]
    for i i

  my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
    return my_tri

n range(2, n + 1):
        if i % 2 == 0:
            my_tri.append(i / 2 + 1)
        else:


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n ==

        my_tri.append(i / 2 + 1)
        else:
            my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
    return my_tri

0:
        return [1]
    my_tri = [1, 3]
    for i in range(2, n + 1):
        if i % 2 == 0:


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n == 0:
        return [1]
    my_tri = [1, 3]
    for i in range(2, n + 1):
        if i % 2 == 0:
            my_tri.append(i /

 2 + 1)
        else:
            my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
    return my_


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n == 0:
        return [1]
    my_tri = [1, 3]
    for i in range(2, n + 1):

       my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
    return my_tri

       if i % 2 == 0:
            my_tri.append(i / 2 + 1)
        else:


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n == 0:
        return [1]
    my_tri = [1, 3]
    for i in range(2, n + 1):

   if i % 2 == 0:
            my_tri.append(i / 2 + 1)
        else:
            my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)


Prompt:
def tri(n):
    """Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
    the last couple centuries. However, what people don't know is Tribonacci sequence.
    Tribonacci sequence is defined by the recurrence:
    tri(1) = 3
    tri(n) = 1 + n / 2, if n is even.
    tri(n) =  tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
    For example:
    tri(2) = 1 + (2 / 2) = 2
    tri(4) = 3
    tri(3) = tri(2) + tri(1) + tri(4)
           = 2 + 3 + 3 = 8
    You are given a non-negative integer number n, you have to a return a list of the
    first n + 1 numbers of the Tribonacci sequence.
    Examples:
    tri(3) = [1, 3, 2, 8]
    """
    if n == 0:
        return [1]
    my_tri = [1, 3]

 for i in range(2, n + 1):
        if i % 2 == 0:
            my_tri.append(i / 2 + 1)
        else:
            my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
    return my_tri


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product

     return 0
    else:
        return product

 = 1
    odd_count = 0
    for digit in str(n):
        int_digit = int(digit)
        if int_digit%2 == 1:
            product= product*int_digit
            odd_count+=1
    if odd_count ==0:

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product =

        return 0
    else:
        return product

 1
    odd_count = 0
    for digit in str(n):
        int_digit = int(digit)
        if int_digit%2 == 1:
            product= product*int_digit
            odd_count+=1
    if odd_count ==0:

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product = 1
    odd_count = 0
    for digit in str(n):
        int_digit = int(digit)
        if int_digit%2 == 1:

         odd_count+=1
    if odd_count ==0:
        return 0
    else:
        return product

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product = 1
    odd_count = 0
    for digit in str(n):
        int_digit = int(digit)
        if int_digit%2 == 1:

=1
    if odd_count ==0:
        return 0
    else:
        return product

           product= product*int_digit
            odd_count+

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product = 1

it = int(digit)
        if int_digit%2 == 1:
            product= product*int_digit
            odd_count+=1
    if odd_count ==0:
        return 0
    else:
        return product

 odd_count = 0
    for digit in str(n):
        int_dig

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product = 1
    odd_count = 0
    for digit in str(n):
        int_digit = int(digit)
        if int_digit%2 == 1:
            product= pro

duct*int_digit
            odd_count+=1
    if odd_count ==0:
        return 0
    else:
        re

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product = 1
    odd_count = 0
    for digit in str(n):
        int_digit = int(digit)
        if int_digit%2 == 1:
            product= product*int_digit
            odd_count+=1
    if odd_count ==0:
        return 0

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product = 1
    odd_count = 0
    for digit in str(

t_digit = int(digit)
        if int_digit%2 == 1:
            product= product*int_digit
            odd_count+=1
    if odd_count ==0:
        return 0
    else:
        return product

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product = 1
    odd_count = 0
    for digit in str(n):
        int_digit = int(digit)
        if

   return 0
    else:
        return product

 int_digit%2 == 1:
            product= product*int_digit
            odd_count+=1
    if odd_count ==0:

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def digits(n):
    """Given a positive integer n, return the product of the odd digits.
    Return 0 if all digits are even.
    For example:
    digits(1)  == 1
    digits(4)  == 0
    digits(235) == 15
    """
    product = 1
    odd_count = 0
    for digit in str(n):
        int_digit = int(digit)
        if int_digit%2 == 1:

  if odd_count ==0:
        return 0
    else:
        return product

product= product*int_digit
            odd_count+=1

def check(candidate):

    # Check some simple cases
    assert candidate(5) == 5
    assert candidate(54) == 5
    assert candidate(120) ==1
    assert candidate(5014) == 5
    assert candidate(98765) == 315
    assert candidate(5576543) == 2625

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2468) == 0


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket_index = []
    closing_bracket_index = []
    for i in range(len(string)):
        if stri

x < closing_bracket_index[i]:
            cnt += 1
            i += 1
    return cnt >= 2

ng[i] == '[':
            opening_bracket_index.append(i)
        else:
            closing_bracket_index.append(i)
    closing_bracket_index.reverse()
    cnt = 0
    i = 0
    l = len(closing_bracket_index)
    for idx in opening_bracket_index:
        if i < l and id

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket

     opening_bracket_index.append(i)
        else:
            closing_bracket_index.append(i)
    closing_bracket_index.reverse()
    cnt = 0
    i = 0
    l = len(closing_bracket_index)
    for idx in opening_bracket_index:
        if i < l and idx < closing_bracket_index[i]:
            cnt += 1
            i += 1
    return cnt >= 2

_index = []
    closing_bracket_index = []
    for i in range(len(string)):
        if string[i] == '[':

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket_ind

racket_index[i]:
            cnt += 1
            i += 1
    return cnt >= 2

ex = []
    closing_bracket_index = []
    for i in range(len(string)):
        if string[i] == '[':
            opening_bracket_index.append(i)
        else:
            closing_bracket_index.append(i)
    closing_bracket_index.reverse()
    cnt = 0
    i = 0
    l = len(closing_bracket_index)
    for idx in opening_bracket_index:
        if i < l and idx < closing_b

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket_index = []
    closing_bracket_index = []
    for i in range(len(string)):
        if string[i] == '[':
            opening_bracket_i

    closing_bracket_index.reverse()
    cnt = 0
    i = 0
    l = len(closing_bracket_index)
    for idx in opening_bracket_index:
        if i < l and idx < closing_bracket_index[i]:
            cnt += 1
            i += 1
    return cnt >= 2

ndex.append(i)
        else:
            closing_bracket_index.append(i)

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket_index = []
    closing_bracket_index = []
    for i in range(len(string)):
        if string[i] == '[':
            opening_bracket_index.append(i)
        else:
            closing_bracket_index.append(i)

len(closing_bracket_index)
    for idx in opening_bracket_index:
        if i < l and idx < closing_bracket_index[i]:
            cnt += 1
            i += 1
    return cnt >= 2

 closing_bracket_index.reverse()
    cnt = 0
    i = 0
    l =

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket_index = []
    closing_bracket_index = []
    for i in range(len(string)):
        if string[i] == '[':
            opening_bracket_index.append(i)
        else:
            closing_bracket_index.append(i)
    closing_bracket_index.reverse()
    cnt = 0
    i = 0
    l = len(closing_brack

et_index)
    for idx in opening_bracket_index:
        if i < l and idx < closing_bracket_index[i]:
            cnt += 1
            i += 1
    return cnt >=

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket_index = []
    closing_bracket_index = []
    for i in range(len(string)):
        if string[i] == '[':
            opening_bracket_index.append(i)
        else:
            closing_bracket_index.append(i)
    closing_bracket_index.reverse()
    cnt = 0
    i = 0
    l = len(closing_bracket_index)
    for idx in opening_bracket_index:

x[i]:
            cnt += 1
            i += 1
    return cnt >= 2

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket_index = []
    cl

_bracket_index.append(i)
    closing_bracket_index.reverse()
    cnt = 0
    i = 0
    l = len(closing_bracket_index)
    for idx in opening_bracket_index:
        if i < l and idx < closing_bracket_index[i]:
            cnt += 1
            i += 1
    return cnt >= 2

osing_bracket_index = []
    for i in range(len(string)):
        if string[i] == '[':
            opening_bracket_index.append(i)
        else:
            closing

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket_index = []
    closing_bracket_index = []
    for i in range(len(string)):
        if string[i] == '[':
            opening_bracket_index.append(i)
        else:
            closing_bracket_index.append(i)
    closing_bracket_index.reverse

1
            i += 1
    return cnt >= 2

()
    cnt = 0
    i = 0
    l = len(closing_bracket_index)
    for idx in opening_bracket_index:
        if i < l and idx < closing_bracket_index[i]:
            cnt +=

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def is_nested(string):
    '''
    Create a function that takes a string as input which contains only square brackets.
    The function should return True if and only if there is a valid subsequence of brackets
    where at least one bracket in the subsequence is nested.

    is_nested('[[]]') ➞ True
    is_nested('[]]]]]]][[[[[]') ➞ False
    is_nested('[][]') ➞ False
    is_nested('[]') ➞ False
    is_nested('[[][]]') ➞ True
    is_nested('[[]][[') ➞ True
    '''
    opening_bracket_index = []
    closing_bracket_index

       closing_bracket_index.append(i)
    closing_bracket_index.reverse()
    cnt = 0
    i = 0
    l = len(closing_bracket_index)
    for idx in opening_bracket_index:
        if i < l and idx < closing_bracket_index[i]:
            cnt += 1
            i += 1
    return cnt >= 2

 = []
    for i in range(len(string)):
        if string[i] == '[':
            opening_bracket_index.append(i)
        else:

def check(candidate):

    # Check some simple cases
    assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('[]]]]]]][[[[[]') == False
    assert candidate('[][]') == False
    assert candidate(('[]')) == False
    assert candidate('[[[[]]]]') == True
    assert candidate('[]]]]]]]]]]') == False
    assert candidate('[][][[]]') == True
    assert candidate('[[]') == False
    assert candidate('[]]') == False
    assert candidate('[[]][[') == True
    assert candidate('[[][]]') == True

    # Check some edge cases that are easy to work out by hand.
    assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate('[[[[[[[[') == False
    assert candidate(']]]]]]]]') == False


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """
    import math

 lst:
        squared += math.ceil(i)**2
    return squared

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """
    import math

    squared = 0
    for i in lst:
        squared += m

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """

 import math
    squared = 0
    for i in lst:
        squared += math.ceil(i)**2
    ret

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """

th
    squared = 0
    for i in lst:
        squared += math.ceil(i)**2
    return squared

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """
    import math
    squared = 0
    for i in lst:
        squared += math.ceil(i)**2

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """
    import math
    squared = 0
    for i in lst:

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """

    squared += math.ceil(i)**2
    return squared

 import math
    squared = 0
    for i in lst:

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """
    import math
    squ

   for i in lst:
        squared += math.ceil(i)**2
    return squared

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """
    import math
    squared =

 0
    for i in lst:
        squared += math.ceil(i)

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def sum_squares(lst):
    """You are given a list of numbers.
    You need to return the sum of squared numbers in the given list,
    round each element in the list to the upper int(Ceiling) first.
    Examples:
    For lst = [1,2,3] the output should be 14
    For lst = [1,4,9] the output should be 98
    For lst = [1,3,5,7] the output should be 84
    For lst = [1.4,4.2,0] the output should be 29
    For lst = [-2.4,1,1] the output should be 6

    """
    import math

0
    for i in lst:
        squared += math.ceil(i)**2
    return squared

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"

    assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.split(' ')[-1]
    return True if len(che

ck) == 1 and (97 <= ord(check.lower()) <= 122) else False

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.

if len(check) == 1 and (97 <= ord(check.lower()) <= 122) else False

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.split(' ')[-1]
    return True if len(check)

== 1 and (97 <= ord(check.lower()) <= 122) els

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.spl

it(' ')[-1]
    return True if len(check) == 1 and (97 <= ord

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.split

(' ')[-1]
    return True if len(check) == 1 and (97 <= ord(check.lower()) <= 122) el

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.split(' ')[

<= ord(check.lower()) <= 122) else False

-1]
    return True if len(check) == 1 and (97

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.split(' ')[-1]
    return True if len(c

heck) == 1 and (97 <= ord(check.lower()) <=

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.split(' ')[-

1]
    return True if len(check) == 1 and (97 <= ord(check.lower()) <= 122) else False

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.split(' ')[-1]
    return True if len(check)

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def check_if_last_char_is_a_letter(txt):
    '''
    Create a function that returns True if the last character
    of a given string is an alphabetical character and is not
    a part of a word, and False otherwise.
    Note: "word" is a group of characters separated by space.

    Examples:
    check_if_last_char_is_a_letter("apple pie") ➞ False
    check_if_last_char_is_a_letter("apple pi e") ➞ True
    check_if_last_char_is_a_letter("apple pi e ") ➞ False
    check_if_last_char_is_a_letter("") ➞ False
    '''

    check = txt.

e if len(check) == 1 and (97 <= ord(check.lower()) <= 122) else False

def check(candidate):

    # Check some simple cases
    assert candidate("apple") == False
    assert candidate("apple pi e") == True
    assert candidate("eeeee") == False
    assert candidate("A") == True
    assert candidate("Pumpkin pie ") == False
    assert candidate("Pumpkin pie 1") == False
    assert candidate("") == False
    assert candidate("eeeee e ") == False
    assert candidate("apple pie") == False
    assert candidate("apple pi e ") == False

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """
    ind=-1
    i=1
    while i<len(arr):

   if arr[i]<arr[i-1]:
        ind=i
      i+=1
    ret

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """
    ind=-1
    i=1
    while i<len(arr):
      if arr[

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """
    ind=-1
    i=1
    while i<len(arr):
      if arr[

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """
    ind=-1
    i=

-1]:
        ind=i
      i+=1
    return ind

1
    while i<len(arr):
      if arr[i]<arr[i

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """
    ind=-1
    i=1
    while i<len(arr):

 if arr[i]<arr[i-1]:
        ind=i
      i+=1

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """
    ind=-1
    i=1
    while i<len(arr):
      if arr[i]

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """
    ind=-1
    i=1
    while i<l

   if arr[i]<arr[i-1]:
        ind=i
      i+=1
    return ind

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """
    ind=-1
    i

=1
    while i<len(arr):
      if arr[i]<arr[i-1]:

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """

    while i<len(arr):
      if arr[i]<arr[i-1]:
        ind=i
      i+=1
    return ind

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def can_arrange(arr):
    """Create a function which returns the largest index of an element which
    is not greater than or equal to the element immediately preceding it. If
    no such element exists then return -1. The given array will not contain
    duplicate values.

    Examples:
    can_arrange([1,2,4,3,5]) = 3
    can_arrange([1,2,3]) = -1
    """
    ind=-1
    i=1
    while i<len(arr):

 if arr[i]<arr[i-1]:
        ind=i
      i+=

def check(candidate):

    # Check some simple cases
    assert candidate([1,2,4,3,5])==3
    assert candidate([1,2,4,5])==-1
    assert candidate([1,4,2,5,6,7,8,9,10])==2
    assert candidate([4,8,5,7,3])==4

    # Check some edge cases that are easy to work out by hand.
    assert candidate([])==-1


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''
    smallest = list(filter(lambda x: x < 0, ls

None, min(largest) if largest else None)

t))
    largest = list(filter(lambda x: x > 0, lst))
    return (max(smallest) if smallest else

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''
    smallest = list(filter(lambda x: x < 0, lst))
    largest = list(filter(l

) if smallest else None, min(largest) if largest else None)

ambda x: x > 0, lst))
    return (max(smallest

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''
    smallest = list(filter(lambda x: x < 0, lst))
    largest = list(filte

return (max(smallest) if smallest else None, min(largest) if largest else None)

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''
    smallest = list(filter(lambda x: x < 0, lst))
    largest = list(filter(lambda x: x >

else None, min(largest) if largest else None)

 0, lst))
    return (max(smallest) if smallest

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''
    smallest = list(filter(lambda x: x < 0, lst))
    largest = list

(filter(lambda x: x > 0, lst))
    return (max(smallest) if smallest else N

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''
    smallest = list(filter(lambda x: x < 0, lst))
    larges

else None, min(largest) if largest else None)

t = list(filter(lambda x: x > 0, lst))
    return (max(smallest) if smallest

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''

    largest = list(filter(lambda x: x > 0, lst))
    return (max(smallest) if smallest else None, min(largest) if largest else None)

smallest = list(filter(lambda x: x < 0, lst))

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''
    smallest = list(filter(lambda x: x < 0, lst))
    largest = list(filter(lambda x: x > 0, lst))
    ret

ax(smallest) if smallest else None, min(largest) if largest else None)

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''
    smallest = list(filter(lambda x: x < 0, lst))
    largest = list(filter(lambda x: x > 0,

allest) if smallest else None, min(largest) if largest else None)

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def largest_smallest_integers(lst):
    '''
    Create a function that returns a tuple (a, b), where 'a' is
    the largest of negative integers, and 'b' is the smallest
    of positive integers in a list.
    If there is no negative or positive integers, return them as None.

    Examples:
    largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
    largest_smallest_integers([]) == (None, None)
    largest_smallest_integers([0]) == (None, None)
    '''
    smallest = list(filter(lambda x: x < 0, lst))
    largest = list(filter(lamb

n (max(smallest) if smallest else None, min(largest) if largest else None)

def check(candidate):

    # Check some simple cases
    assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
    assert candidate([2, 4, 1, 3, 5, 7, 0]) == (None, 1)
    assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
    assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
    assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
    assert candidate([]) == (None, None)
    assert candidate([0]) == (None, None)
    assert candidate([-1, -3, -5, -6]) == (-1, None)
    assert candidate([-1, -3, -5, -6, 0]) == (-1, None)
    assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
    assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def compare_one(a, b):
    """
    Create a function that takes integers, floats, or strings representing
    real numbers, and returns the larger variable in its given variable type.
    Return None if the values are equal.
    Note: If a real number is represented as a string, the floating point might be . or ,

    compare_one(1, 2.5) ➞ 2.5
    compare_one(1, "2,3") ➞ "2,3"
    compare_one("5,1", "6") ➞ "6"
    compare_one("1", 1) ➞ None
    """
    temp_a, temp_b = a, b
    if isinstance(temp_a

, str): temp_a = temp_a.replace(',','.')
    if isinstance(temp_b, str): temp_b = temp_b.replace(',','.')
    if float(temp_a) == float(temp_b): return None
    return a if float(temp_a) > float

def check(candidate):

    # Check some simple cases
    assert candidate(1, 2) == 2
    assert candidate(1, 2.5) == 2.5
    assert candidate(2, 3) == 3
    assert candidate(5, 6) == 6
    assert candidate(1, "2,3") == "2,3"
    assert candidate("5,1", "6") == "6"
    assert candidate("1", "2") == "2"
    assert candidate("1", 1) == None

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def compare_one(a, b):
    """
    Create a function that takes integers, floats, or strings representing
    real numbers, and returns the larger variable in its given variable type.
    Return None if the values are equal.
    Note: If a real number is represented as a string, the floating point might be . or ,

    compare_one(1, 2.5) ➞ 2.5
    compare_one(1, "2,3") ➞ "2,3"
    compare_one("5,1", "6") ➞ "6"
    compare_one("1", 1) ➞ None
    """
    temp_a, temp_b = a, b
    if i

emp_a.replace(',','.')
    if isinstance(temp_b, str): temp_b = temp_b.replace(',','.')
    if float(temp_a) == float(temp_b): return None
    return a if float(temp_a) > float(temp_b) else b

def check(candidate):

    # Check some simple cases
    assert candidate(1, 2) == 2
    assert candidate(1, 2.5) == 2.5
    assert candidate(2, 3) == 3
    assert candidate(5, 6) == 6
    assert candidate(1, "2,3") == "2,3"
    assert candidate("5,1", "6") == "6"
    assert candidate("1", "2") == "2"
    assert candidate("1", 1) == None

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def compare_one(a, b):
    """
    Create a function that takes integers, floats, or strings representing
    real numbers, and returns the larger variable in its given variable type.
    Return None if the values are equal.
    Note: If a real number is represented as a string, the floating point might be . or ,

    compare_one(1, 2.5) ➞ 2.5
    compare_one(1, "2,3") ➞ "2,3"
    compare_one("5,1", "6") ➞ "6"
    compare_one("1", 1) ➞ None
    """
    temp_a, temp_b = a, b
    if isinstance(temp

.replace(',','.')
    if isinstance(temp_b, str): temp_b = temp_b.replace(',','.')
    if float(temp_a) == float(temp_b): return None
    return a if float(temp_a) > float(temp_b) else b

def check(candidate):

    # Check some simple cases
    assert candidate(1, 2) == 2
    assert candidate(1, 2.5) == 2.5
    assert candidate(2, 3) == 3
    assert candidate(5, 6) == 6
    assert candidate(1, "2,3") == "2,3"
    assert candidate("5,1", "6") == "6"
    assert candidate("1", "2") == "2"
    assert candidate("1", 1) == None

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def compare_one(a, b):
    """
    Create a function that takes integers, floats, or strings representing
    real numbers, and returns the larger variable in its given variable type.
    Return None if the values are equal.
    Note: If a real number is represented as a string, the floating point might be . or ,

    compare_one(1, 2.5) ➞ 2.5
    compare_one(1, "2,3") ➞ "2,3"
    compare_one("5,1", "6") ➞ "6"
    compare_one("1", 1) ➞ None
    """
    temp_a, temp_b = a, b
    if isinstance(temp_a, str): temp_a = temp_a.replace(',','.')
    if isinstance(temp_b, str): temp_b = temp_b.replace(',','.')
    if float(temp_a) == float(temp_

b): return None
    return a if float(temp_a) > float(temp_b) else b

def check(candidate):

    # Check some simple cases
    assert candidate(1, 2) == 2
    assert candidate(1, 2.5) == 2.5
    assert candidate(2, 3) == 3
    assert candidate(5, 6) == 6
    assert candidate(1, "2,3") == "2,3"
    assert candidate("5,1", "6") == "6"
    assert candidate("1", "2") == "2"
    assert candidate("1", 1) == None

    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def compare_one(a, b):
    """
    Create a function that takes integers, floats, or strings representing
    real numbers, and returns the larger variable in its given variable type.
    Return None if the values are equal.
    Note: If a real number is represented as a string, the floating point might be . or ,

    compare_one(1, 2.5) ➞ 2.5
    compare_one(1, "2,3") ➞ "2,3"
    compare_one("5,1", "6") ➞ "6"
    compare_one("1", 1) ➞ None
    """
    temp_a, temp_b = a, b
    if isinstance(temp_a, str): temp_a = te

)
    if isinstance(temp_b, str): temp_b = temp_b.replace(',','.')
    if float(temp_a) == float(temp_b): return None
    return a if float(temp_a) > float(temp_b) else b

def check(candidate):

    # Check some simple cases
    assert candidate(1, 2) == 2
    assert candidate(1, 2.5) == 2.5
    assert candidate(2, 3) == 3
    assert candidate(5, 6) == 6
    assert candidate(1, "2,3") == "2,3"
    assert candidate("5,1", "6") == "6"
    assert candidate("1", "2") == "2"
    assert candidate("1", 1) == None

    # Check some edge cases that are easy to work out by hand.
    assert True