Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:

        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    while i<j:
        if q[i] != q[j]:
            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

        if q[i] != q[j]:
            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

            return False
        i+=1
        j-=1
    return True

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

        i+=1
        j-=1
    return True

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False
        i+=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False
        i+=1
        j-=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1

        if q[i] != q[j]:
            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1

            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1

        i+=1
        j-=1
    return True

    while i<j:
        if q[i] != q[j]:
            return False

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1

    while i<j:
        if q[i] != q[j]:
            return False
        i+=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1

    while i<j:
        if q[i] != q[j]:
            return False
        i+=1
        j-=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1

    while i<j:
        if q[i] != q[j]:
            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:

            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:

        i+=1
        j-=1
    return True

        if q[i] != q[j]:
            return False

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:

        if q[i] != q[j]:
            return False
        i+=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:

        if q[i] != q[j]:
            return False
        i+=1
        j-=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:

        if q[i] != q[j]:
            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:

        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:

            return False
        i+=1
        j-=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:

            return False
        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False

        i+=1
        j-=1
    return True

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False
        i+=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False
        i+=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def will_it_fly(q,w):
    '''
    Write a function that returns True if the object q will fly, and False otherwise.
    The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.

    Example:
    will_it_fly([1, 2], 5) ➞ False
    # 1+2 is less than the maximum possible weight, but it's unbalanced.

    will_it_fly([3, 2, 3], 1) ➞ False
    # it's balanced, but 3+2+3 is more than the maximum possible weight.

    will_it_fly([3, 2, 3], 9) ➞ True
    # 3+2+3 is less than the maximum possible weight, and it's balanced.

    will_it_fly([3], 5) ➞ True
    # 3 is less than the maximum possible weight, and it's balanced.
    '''
    if sum(q) > w:
        return False

    i, j = 0, len(q)-1
    while i<j:
        if q[i] != q[j]:
            return False
        i+=1
        j-=1

def check(candidate):

    # Check some simple cases
    assert candidate([3, 2, 3], 9) is True
    assert candidate([1, 2], 5) is False
    assert candidate([3], 5) is True
    assert candidate([3, 2, 3], 1) is False

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3], 6) is False
    assert candidate([5], 5) is True


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """

    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1
    return ans

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """

        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1
    return ans

    ans = 0
    for i in range(len(arr) // 2):

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """

    ans = 0
    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """

    ans = 0
    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """

    ans = 0
    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1
    return ans

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0

        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1
    return ans

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0

    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0

    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0

    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1
    return ans

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0
    for i in range(len(arr) // 2):

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0
    for i in range(len(arr) // 2):

        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0
    for i in range(len(arr) // 2):

        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1
    return ans

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0
    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0
    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def smallest_change(arr):
    """
    Given an array arr of integers, find the minimum number of elements that
    need to be changed to make the array palindromic. A palindromic array is an array that
    is read the same backwards and forwards. In one change, you can change one element to any other element.

    For example:
    smallest_change([1,2,3,5,4,7,9,6]) == 4
    smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
    smallest_change([1, 2, 3, 2, 1]) == 0
    """
    ans = 0
    for i in range(len(arr) // 2):
        if arr[i] != arr[len(arr) - i - 1]:
            ans += 1

def check(candidate):

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

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1, 2, 3, 2, 1]) == 0
    assert candidate([3, 1, 1, 3]) == 0
    assert candidate([1]) == 0
    assert candidate([0, 1]) == 1


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

    l1 = 0
    for st in lst1:
        l1 += len(st)

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

    l1 = 0
    for st in lst1:
        l1 += len(st)

    l2 = 0

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

    l1 = 0
    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

    if l1 <= l2:
        return lst1
    else:
        return lst2

    l1 = 0
    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

        return lst1
    else:
        return lst2

    l1 = 0
    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

    l1 = 0
    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

    l1 = 0
    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''

    l1 = 0
    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0

        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

    for st in lst1:
        l1 += len(st)

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0

    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

    for st in lst1:
        l1 += len(st)

    l2 = 0

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0

        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0

    if l1 <= l2:
        return lst1
    else:
        return lst2

    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0

        return lst1
    else:
        return lst2

    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0

    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0

    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0

    for st in lst1:
        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:

    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:

        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

        l1 += len(st)

    l2 = 0
    for st in lst2:

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:

    if l1 <= l2:
        return lst1
    else:
        return lst2

        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:

        return lst1
    else:
        return lst2

        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:

        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:

        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:

        l1 += len(st)

    l2 = 0
    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:
        l1 += len(st)

    for st in lst2:
        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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


Prompt:
def total_match(lst1, lst2):
    '''
    Write a function that accepts two lists of strings and returns the list that has
    total number of chars in the all strings of the list less than the other list.

    if the two lists have the same number of chars, return the first list.

    Examples
    total_match([], []) ➞ []
    total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
    total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
    total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
    total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
    '''
    l1 = 0
    for st in lst1:
        l1 += len(st)

        l2 += len(st)

    if l1 <= l2:
        return lst1
    else:
        return lst2

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([], []) == []
    assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
    assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
    assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
    assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
    assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']

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