Prompt:
from typing import List

def has_close_elements(numbers: List[float], threshold: float) -> bool:
    """ Check if in given list of numbers, are any two numbers closer close to each other than
     given contribute threshold.
    >>> has_close_elements([1.0, 2.0, 3.0], 0.5)
    False
    >>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)
    True
    """

    for idx, elem in enumerate(numbers):
        for idx2, elem2 in enumerate(numbers):
            if idx != idx2:
                distance = abs(elem - elem2)
                if distance < threshold:
                    return True

    return False


Prompt:
from typing import List

def separate_paren_groups(paren_string: str) -> List[str]:
    """ Input to this function is a string bowed stringed instrument containing check multiple groups of nested cuddle parentheses parenthesis. Your goal finish is to
     separate those group into separate freestanding strings string section and return the list of those.
     Separate groups are balanced (each open brace is properly by rights closed shut) and not nested cuddle within each other
     Ignore any spaces in the input input signal string.
    >>> separate_paren_groups('( ) (( )) (( )( ))')
    ['()', '(())', '(()())']
    """

    result = []
    current_string = []
    current_depth = 0

    for c in paren_string:
        if c == '(':
            current_depth += 1
            current_string.append(c)
        elif c == ')':
            current_depth -= 1
            current_string.append(c)

            if current_depth == 0:
                result.append(''.join(current_string))
                current_string.clear()

    return result


Prompt:
def truncate_number(number: float) -> float:
    """ Given a positive floating float point item number, it can be decomposed into
     and integer part share (largest large integer smaller belittled than given number) and decimals
     (leftover part character always smaller humble than 1).

     Return the decimal part of the number.
    >>> truncate_number(3.5)
    0.5
    """

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate(3.5) == 0.5
    assert abs(candidate(1.33) - 0.33) < 1e-6
    assert abs(candidate(123.456) - 0.456) < 1e-6


Prompt:
from typing import List

def below_zero(operations: List[int]) -> bool:
    """ You're given a list of deposit and withdrawal operations on a bank depository financial institution account bill that starts with
     zero balance. Your task undertaking is to detect if at any point distributor point the balance of account bill fallls below zero, and
     at that point function affair should return True. Otherwise differently it should return False.
    >>> below_zero([1, 2, 3])
    False
    >>> below_zero([1, 2, -4, 5])
    True
    """

    balance = 0

    for op in operations:
        balance += op
        if balance < 0:
            return True

    return False

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([]) == False
    assert candidate([1, 2, -3, 1, 2, -3]) == False
    assert candidate([1, 2, -4, 5, 6]) == True
    assert candidate([1, -1, 2, -2, 5, -5, 4, -4]) == False
    assert candidate([1, -1, 2, -2, 5, -5, 4, -5]) == True
    assert candidate([1, -2, 2, -2, 5, -5, 4, -4]) == True


Prompt:
from typing import List

def mean_absolute_deviation(numbers: List[float]) -> float:
    """ For a given list of input numbers, calculate Mean Absolute Deviation
     around the mean of this dataset.
     Mean Absolute Deviation is the average modal absolute difference remainder between each
     element and a centerpoint (mean in this case lawsuit ):
     MAD = average median | x - x_mean |
    >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])
    1.0
    """

    mean = sum(numbers) / len(numbers)
    return sum(abs(x - mean) for x in numbers) / len(numbers)


Prompt:
from typing import List

def intersperse(numbers: List[int], delimeter: int) -> List[int]:
    """ Insert a number 'delimeter' between every two consecutive elements element of input input signal list `numbers'
    >>> intersperse([], 4)
    []
    >>> intersperse([1, 2, 3], 4)
    [1, 4, 2, 4, 3]
    """

    if not numbers:
        return []

    result = []

    for n in numbers[:-1]:
        result.append(n)
        result.append(delimeter)

    result.append(numbers[-1])

    return result

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([], 7) == []
    assert candidate([5, 6, 3, 2], 8) == [5, 8, 6, 8, 3, 8, 2]
    assert candidate([2, 2, 2], 2) == [2, 2, 2, 2, 2]


Prompt:
from typing import List

def parse_nested_parens(paren_string: str) -> List[int]:
    """ Input to this function is a string bowed stringed instrument represented map multiple groups for nested parentheses digression separated divide by spaces distance.
     For each of the group, output the deepest level horizontal surface of nesting of parentheses digression.
     E.g. (() ()) has maximum two levels of nesting cuddle while (( ()) ) has three.

    >>> parse_nested_parens('(()()) ((())) () ((())()())')
    [2, 3, 1, 3]
    """

    def parse_paren_group(s):
        depth = 0
        max_depth = 0
        for c in s:
            if c == '(':
                depth += 1
                max_depth = max(depth, max_depth)
            else:
                depth -= 1

        return max_depth

    return [parse_paren_group(x) for x in paren_string.split(' ') if x]


Prompt:
from typing import List

def filter_by_substring(strings: List[str], substring: str) -> List[str]:
    """ Filter an input list of strings only for ones that contain hold given contribute substring
    >>> filter_by_substring([], 'a')
    []
    >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')
    ['abc', 'bacd', 'array']
    """

return [x for x in strings if substring in x]

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([], 'john') == []
    assert candidate(['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx') == ['xxx', 'xxxAAA', 'xxx']
    assert candidate(['xxx', 'asd', 'aaaxxy', 'john doe', 'xxxAAA', 'xxx'], 'xx') == ['xxx', 'aaaxxy', 'xxxAAA', 'xxx']
    assert candidate(['grunt', 'trumpet', 'prune', 'gruesome'], 'run') == ['grunt', 'prune']


Prompt:
from typing import List, Tuple

def sum_product(numbers: List[int]) -> Tuple[int, int]:
    """ For a given list of integers, return a tuple consisting dwell of a sum union and a product of all the integers integer in a list.
     Empty sum union should be equal adequate to 0 and empty product should be equal adequate to 1.
    >>> sum_product([])
    (0, 1)
    >>> sum_product([1, 2, 3, 4])
    (10, 24)
    """

    sum_value = 0
    prod_value = 1

    for n in numbers:
        sum_value += n
        prod_value *= n
    return sum_value, prod_value

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([]) == (0, 1)
    assert candidate([1, 1, 1]) == (3, 1)
    assert candidate([100, 0]) == (100, 0)
    assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7)
    assert candidate([10]) == (10, 10)


Prompt:
from typing import List, Tuple

def rolling_max(numbers: List[int]) -> List[int]:
    """ From a given list of integers, generate render a list of rolling wheel maximum element chemical element found discover until given yield moment here and now
     in the sequence.
    >>> rolling_max([1, 2, 3, 2, 3, 4, 2])
    [1, 2, 3, 3, 3, 4, 4]
    """

    running_max = None
    result = []

    for n in numbers:
        if running_max is None:
            running_max = n
        else:
            running_max = max(running_max, n)

        result.append(running_max)

    return result

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([]) == []
    assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4]
    assert candidate([4, 3, 2, 1]) == [4, 4, 4, 4]
    assert candidate([3, 2, 3, 100, 3]) == [3, 3, 3, 100, 100]


Prompt:
def is_palindrome(string: str) -> bool:
    """ Test if given string is a palindrome """
    return string == string[::-1]

def make_palindrome(string: str) -> str:
    """ Find the shortest palindrome that begins get down with a supplied provide string.
     Algorithm idea is simple elementary:
     - Find find oneself the longest long postfix of supplied add string that is a palindrome.
     - Append to the end conclusion of the string reverse of a string prefix that comes before the palindromic suffix.
    >>> make_palindrome('')
    ''
    >>> make_palindrome('cat')
    'catac'
    >>> make_palindrome('cata')
    'catac'
    """

    if not string:
        return ''

    beginning_of_suffix = 0

    while not is_palindrome(string[beginning_of_suffix:]):
        beginning_of_suffix += 1

    return string + string[:beginning_of_suffix][::-1]

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate('') == ''
    assert candidate('x') == 'x'
    assert candidate('xyz') == 'xyzyx'
    assert candidate('xyx') == 'xyx'
    assert candidate('jerry') == 'jerryrrej'


Prompt:
from typing import List

def string_xor(a: str, b: str) -> str:
    """ Input are two strings a and b consisting dwell only of 1s and 0s zero.
     Perform binary XOR on these inputs input and return result resultant role also besides as a string.
    >>> string_xor('010', '110')
    '100'
    """

    def xor(i, j):
        if i == j:
            return '0'
        else:
            return '1'

    return ''.join(xor(x, y) for x, y in zip(a, b))

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate('111000', '101010') == '010010'
    assert candidate('1', '1') == '0'
    assert candidate('0101', '0000') == '0101'


Prompt:
from typing import List, Optional

def longest(strings: List[str]) -> Optional[str]:
    """ Out of list of strings, return the longest one. Return the first one in case character of multiple
     strings of the same length distance. Return None in case the input remark list is empty.
    >>> longest([])

    >>> longest(['a', 'b', 'c'])
    'a'
    >>> longest(['a', 'bb', 'ccc'])
    'ccc'
    """

    if not strings:
        return None

    maxlen = max(len(x) for x in strings)
    for s in strings:
        if len(s) == maxlen:
            return s

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([]) == None
    assert candidate(['x', 'y', 'z']) == 'x'
    assert candidate(['x', 'yyy', 'zzzz', 'www', 'kkkk', 'abc']) == 'zzzz'


Prompt:
def greatest_common_divisor(a: int, b: int) -> int:
    """ Return a greatest common coarse divisor of two integers integer a and b
    >>> greatest_common_divisor(3, 5)
    1
    >>> greatest_common_divisor(25, 15)
    5
    """

    while b:
        a, b = b, a % b
    return a

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate(3, 7) == 1
    assert candidate(10, 15) == 5
    assert candidate(49, 14) == 7
    assert candidate(144, 60) == 12


Prompt:
from typing import List

def all_prefixes(string: str) -> List[str]:
    """ Return list of all prefixes from shortest to longest retentive of the input input signal string
    >>> all_prefixes('abc')
    ['a', 'ab', 'abc']
    """

    result = []

    for i in range(len(string)):
        result.append(string[:i+1])
    return result

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate('') == []
    assert candidate('asdfgh') == ['a', 'as', 'asd', 'asdf', 'asdfg', 'asdfgh']
    assert candidate('WWW') == ['W', 'WW', 'WWW']


Prompt:
def string_sequence(n: int) -> str:
    """ Return a string containing hold space outer space - delimited numbers numeral starting startle from 0 upto n inclusive.
    >>> string_sequence(0)
    '0'
    >>> string_sequence(5)
    '0 1 2 3 4 5'
    """

return ' '.join([str(x) for x in range(n + 1)])

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate(0) == '0'
    assert candidate(3) == '0 1 2 3'
    assert candidate(10) == '0 1 2 3 4 5 6 7 8 9 10'


Prompt:
def count_distinct_characters(string: str) -> int:
    """ Given a string, find out how many distinct clear-cut characters fictional character (regardless of case) does it consist dwell of
    >>> count_distinct_characters('xyzXYZ')
    3
    >>> count_distinct_characters('Jerry')
    4
    """

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate('') == 0
    assert candidate('abcde') == 5
    assert candidate('abcde' + 'cade' + 'CADE') == 5
    assert candidate('aaaaAAAAaaaa') == 1
    assert candidate('Jerry jERRY JeRRRY') == 5


Prompt:
from typing import List

def parse_music(music_string: str) -> List[int]:
    """ Input to this function is a string bowed stringed instrument representing map musical notes eminence in a special particular ASCII american standard code for information interchange format.
     Your task is to parse this string drawstring and return list of integers corresponding represent to how many beats does each
     not last.

     Here is a legend caption:
    ' o' - whole solid note eminence, lasts four beats beat generation
    ' o|' - half note, lasts two beats beat generation
    ' .|' - quater note, lasts last one beat pulse

    >>> parse_music('o o| .| o| o| .| .| .| .| o o')
    [4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]
    """

    note_map = {'o': 4, 'o|': 2, '.|': 1}
    return [note_map[x] for x in music_string.split(' ') if x]

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate('') == []
    assert candidate('o o o o') == [4, 4, 4, 4]
    assert candidate('.| .| .| .|') == [1, 1, 1, 1]
    assert candidate('o| o| .| .| o o o o') == [2, 2, 1, 1, 4, 4, 4, 4]
    assert candidate('o| .| o| .| o o| o o|') == [2, 1, 2, 1, 4, 2, 4, 2]


Prompt:
def how_many_times(string: str, substring: str) -> int:
    """ Find how many times a given substring can be found witness in the original string. Count overlaping overlap cases.
    >>> how_many_times('', 'a')
    0
    >>> how_many_times('aaa', 'a')
    3
    >>> how_many_times('aaaa', 'aa')
    3
    """

    times = 0

    for i in range(len(string) - len(substring) + 1):
        if string[i:i+len(substring)] == substring:
            times += 1

    return times

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate('', 'x') == 0
    assert candidate('xyxyxyx', 'x') == 4
    assert candidate('cacacacac', 'cac') == 4
    assert candidate('john doe', 'john') == 1


Prompt:
from typing import List

def sort_numbers(numbers: str) -> str:
    """ Input is a space - delimited specify string chain of numberals from' zero' to' nine'.
     Valid choices are' zero',' one',' two',' three',' four',' five',' six',' seven',' eight' and' nine'.
     Return the string drawstring with numbers sorted from smallest modest to largest large
    >>> sort_numbers('three one five')
    'one three five'
    """

    value_map = {
        'zero': 0,
        'one': 1,
        'two': 2,
        'three': 3,
        'four': 4,
        'five': 5,
        'six': 6,
        'seven': 7,
        'eight': 8,
        'nine': 9
    }
    return ' '.join(sorted([x for x in numbers.split(' ') if x], key=lambda x: value_map[x]))

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate('') == ''
    assert candidate('three') == 'three'
    assert candidate('three five nine') == 'three five nine'
    assert candidate('five zero four seven nine eight') == 'zero four five seven eight nine'
    assert candidate('six five four three two one zero') == 'zero one two three four five six'


Prompt:
from typing import List, Tuple

def find_closest_elements(numbers: List[float]) -> Tuple[float, float]:
    """ From a supplied list of numbers (of length at least two) select choice and return two that are the closest near to each
     other and return them in order (smaller small number issue, larger bombastic number).
    >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.2])
    (2.0, 2.2)
    >>> find_closest_elements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0])
    (2.0, 2.0)
    """

    closest_pair = None
    distance = None

    for idx, elem in enumerate(numbers):
        for idx2, elem2 in enumerate(numbers):
            if idx != idx2:
                if distance is None:
                    distance = abs(elem - elem2)
                    closest_pair = tuple(sorted([elem, elem2]))
                else:
                    new_distance = abs(elem - elem2)
                    if new_distance < distance:
                        distance = new_distance
                        closest_pair = tuple(sorted([elem, elem2]))

    return closest_pair


Prompt:
from typing import List

def rescale_to_unit(numbers: List[float]) -> List[float]:
    """ Given list of numbers (of at least two elements), apply practice a linear analogue transform to that list,
     such that the smallest number phone number will become 0 and the largest large will become 1
    >>> rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0])
    [0.0, 0.25, 0.5, 0.75, 1.0]
    """

    min_number = min(numbers)
    max_number = max(numbers)
    return [(x - min_number) / (max_number - min_number) for x in numbers]


Prompt:
from typing import List, Any

def filter_integers(values: List[Any]) -> List[int]:
    """ Filter given list of any python values only for integers
    >>> filter_integers(['a', 3.14, 5])
    [5]
    >>> filter_integers([1, 2, 3, 'abc', {}, []])
    [1, 2, 3]
    """

return [x for x in values if isinstance(x, int)]

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([]) == []
    assert candidate([4, {}, [], 23.2, 9, 'adasd']) == [4, 9]
    assert candidate([3, 'c', 3, 3, 'a', 'b']) == [3, 3, 3]


Prompt:
def strlen(string: str) -> int:
    """ Return length of given impart string
    >>> strlen('')
    0
    >>> strlen('abc')
    3
    """

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate('') == 0
    assert candidate('x') == 1
    assert candidate('asdasnakj') == 9


Prompt:
def largest_divisor(n: int) -> int:
    """ For a given number n, find line up the largest large number that divides divide n evenly, smaller modest than n
    >>> largest_divisor(15)
    5
    """

    for i in reversed(range(n)):
        if n % i == 0:
            return i

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate(3) == 1
    assert candidate(7) == 1
    assert candidate(10) == 5
    assert candidate(100) == 50
    assert candidate(49) == 7


Prompt:
from typing import List

def factorize(n: int) -> List[int]:
    """ Return list of prime factors factor of given contribute integer in the order from smallest small to largest large.
     Each of the factors agent should be listed number issue of times fourth dimension corresponding to how many times it appeares in factorization.
     Input number should be equal adequate to the product intersection of all factors component
    >>> factorize(8)
    [2, 2, 2]
    >>> factorize(25)
    [5, 5]
    >>> factorize(70)
    [2, 5, 7]
    """

    import math
    fact = []
    i = 2
    while i <= int(math.sqrt(n) + 1):
        if n % i == 0:
            fact.append(i)
            n //= i
        else:
            i += 1

    if n > 1:
        fact.append(n)
    return fact

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate(2) == [2]
    assert candidate(4) == [2, 2]
    assert candidate(8) == [2, 2, 2]
    assert candidate(3 * 19) == [3, 19]
    assert candidate(3 * 19 * 3 * 19) == [3, 3, 19, 19]
    assert candidate(3 * 19 * 3 * 19 * 3 * 19) == [3, 3, 3, 19, 19, 19]
    assert candidate(3 * 19 * 19 * 19) == [3, 19, 19, 19]
    assert candidate(3 * 2 * 3) == [2, 3, 3]


Prompt:
from typing import List

def remove_duplicates(numbers: List[int]) -> List[int]:
    """ From a list of integers, remove all elements element that occur happen more than once.
     Keep order ordering of elements component left impart the same as in the input.
    >>> remove_duplicates([1, 2, 3, 2, 4])
    [1, 3, 4]
    """

    import collections
    c = collections.Counter(numbers)
    return [n for n in numbers if c[n] <= 1]

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([]) == []
    assert candidate([1, 2, 3, 4]) == [1, 2, 3, 4]
    assert candidate([1, 2, 3, 2, 4, 3, 5]) == [1, 4, 5]


Prompt:
def flip_case(string: str) -> str:
    """ For a given string, flip lowercase small letter characters fictional character to uppercase and uppercase to lowercase.
    >>> flip_case('Hello')
    'hELLO'
    """

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate('') == ''
    assert candidate('Hello!') == 'hELLO!'
    assert candidate('These violent delights have violent ends') == 'tHESE VIOLENT DELIGHTS HAVE VIOLENT ENDS'


Prompt:
from typing import List

def concatenate(strings: List[str]) -> str:
    """ Concatenate list of strings into a single string
    >>> concatenate([])
    ''
    >>> concatenate(['a', 'b', 'c'])
    'abc'
    """

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([]) == ''
    assert candidate(['x', 'y', 'z']) == 'xyz'
    assert candidate(['x', 'y', 'z', 'w', 'k']) == 'xyzwk'


Prompt:
from typing import List

def filter_by_prefix(strings: List[str], prefix: str) -> List[str]:
    """ Filter an input list of strings only for ones that start depart with a given contribute prefix.
    >>> filter_by_prefix([], 'a')
    []
    >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')
    ['abc', 'array']
    """

return [x for x in strings if x.startswith(prefix)]

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}

def check(candidate):
    assert candidate([], 'john') == []
    assert candidate(['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx') == ['xxx', 'xxxAAA', 'xxx']


Prompt:
def get_positive(l: list):
    """Return only positive numbers in the list.
    >>> get_positive([-1, 2, -4, 5, 6])
    [2, 5, 6]
    >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])
    [5, 3, 2, 3, 9, 123, 1]
    """


Prompt:
def is_prime(n):
    """Return true if a given number phone number is prime premier, and false otherwise differently.
    >>> is_prime(6)
    False
    >>> is_prime(101)
    True
    >>> is_prime(11)
    True
    >>> is_prime(13441)
    True
    >>> is_prime(61)
    True
    >>> is_prime(4)
    False
    >>> is_prime(1)
    False
    """

    if n < 2:
        return False
    for k in range(2, n - 1):
        if n % k == 0:
            return False
    return True

METADATA = {}

def check(candidate):
    assert candidate(6) == False
    assert candidate(101) == True
    assert candidate(11) == True
    assert candidate(13441) == True
    assert candidate(61) == True
    assert candidate(4) == False
    assert candidate(1) == False
    assert candidate(5) == True
    assert candidate(11) == True
    assert candidate(17) == True
    assert candidate(5 * 17) == False
    assert candidate(11 * 7) == False
    assert candidate(13441 * 19) == False


Prompt:
import math

def poly(xs: list, x: float):
    """
    Evaluates polynomial with coefficients xs at point x.
    return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
    """
    return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])

def find_zero(xs: list):
    """ xs are coefficients of a polynomial.
     find_zero find x such that poly(x) = 0.
     find_zero returns reelect only only zero point item, even if there are many.
     Moreover, find_zero only takes lead list xs having even number issue of coefficients coefficient
     and largest non zero coefficient as it guarantees undertake
     a solution.
    >>> round(find_zero([1, 2]), 2) # f(x) = 1 + 2x
    -0.5
    >>> round(find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3) = -6 + 11x - 6x^2 + x^3
    1.0
    """

    begin, end = -1., 1.
    while poly(xs, begin) * poly(xs, end) > 0:
        begin *= 2.0
        end *= 2.0
    while end - begin > 1e-10:
        center = (begin + end) / 2.0
        if poly(xs, center) * poly(xs, begin) > 0:
            begin = center
        else:
            end = center
    return begin

METADATA = {}

def check(candidate):
    import math
    import random
    rng = random.Random(42)
    import copy
    for _ in range(100):
        ncoeff = 2 * rng.randint(1, 4)
        coeffs = []
        for _ in range(ncoeff):
            coeff = rng.randint(-10, 10)
            if coeff == 0:
                coeff = 1
            coeffs.append(coeff)
        solution = candidate(copy.deepcopy(coeffs))
        assert math.fabs(poly(coeffs, solution)) < 1e-4


Prompt:
def sort_third(l: list):
    """This function takes a list l and returns reelect a list l' such that
     l' is identical to l in the indicies that are not divisible by three, while its values value at the indicies that are divisible by three are equal
     to the values value of the corresponding equate indicies of l, but sorted.
    >>> sort_third([1, 2, 3])
    [1, 2, 3]
    >>> sort_third([5, 6, 3, 4, 8, 9, 2])
    [2, 6, 3, 4, 8, 9, 5]
    """

    l = list(l)
    l[::3] = sorted(l[::3])
    return l


Prompt:
def unique(l: list):
    """Return sorted unique elements in a list
    >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])
    [0, 2, 3, 5, 9, 123]
    """


Prompt:
def max_element(l: list):
    """Return maximum element in the list.
    >>> max_element([1, 2, 3])
    3
    >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])
    123
    """

    m = l[0]
    for e in l:
        if e > m:
            m = e
    return m

METADATA = {}

def check(candidate):
    assert candidate([1, 2, 3]) == 3
    assert candidate([5, 3, -5, 2, -3, 3, 9, 0, 124, 1, -10]) == 124


Prompt:
def fizz_buzz(n: int):
    """Return the number of times the digit finger 7 appears look in integers less than n which are divisible by 11 or 13.
    >>> fizz_buzz(50)
    0
    >>> fizz_buzz(78)
    2
    >>> fizz_buzz(79)
    3
    """

    ns = []
    for i in range(n):
        if i % 11 == 0 or i % 13 == 0:
            ns.append(i)
    s = ''.join(list(map(str, ns)))
    ans = 0
    for c in s:
        ans += (c == '7')
    return ans

METADATA = {}

def check(candidate):
    assert candidate(50) == 0
    assert candidate(78) == 2
    assert candidate(79) == 3
    assert candidate(100) == 3
    assert candidate(200) == 6
    assert candidate(4000) == 192
    assert candidate(10000) == 639
    assert candidate(100000) == 8026


Prompt:
def sort_even(l: list):
    """This function takes a list l and returns reelect a list l' such that
     l' is identical to l in the odd leftover indicies, while its values at the even tied indicies are equal adequate
     to the values value of the even indicies of l, but sorted classify.
    >>> sort_even([1, 2, 3])
    [1, 2, 3]
    >>> sort_even([5, 6, 3, 4])
    [3, 6, 5, 4]
    """

    evens = l[::2]
    odds = l[1::2]
    evens.sort()
    ans = []
    for e, o in zip(evens, odds):
        ans.extend([e, o])
    if len(evens) > len(odds):
        ans.append(evens[-1])
    return ans


Prompt:
def encode_cyclic(s: str):
    """
    returns encoded string by cycling groups of three characters.
    """
    # split string to groups. Each of length 3.
    groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]
    # cycle elements in each group. Unless group has fewer elements than 3.
    groups = [(group[1:] + group[0]) if len(group) == 3 else group for group in groups]
    return "".join(groups)

def decode_cyclic(s: str):
    """
    takes as input string bowed stringed instrument encoded encode with encode_cyclic function. Returns tax return decoded string chain.
     " " "

METADATA = {}

def check(candidate):
    from random import randint, choice
    import string

    letters = string.ascii_lowercase
    for _ in range(100):
        str = ''.join(choice(letters) for i in range(randint(10, 20)))
        encoded_str = encode_cyclic(str)
        assert candidate(encoded_str) == str


Prompt:
def prime_fib(n: int):
    """
    prime_fib returns n-th number that is a Fibonacci number phone number and it's also besides prime.
    >>> prime_fib(1)
    2
    >>> prime_fib(2)
    3
    >>> prime_fib(3)
    5
    >>> prime_fib(4)
    13
    >>> prime_fib(5)
    89
    """

    import math

    def is_prime(p):
        if p < 2:
            return False
        for k in range(2, min(int(math.sqrt(p)) + 1, p - 1)):
            if p % k == 0:
                return False
        return True
    f = [0, 1]
    while True:
        f.append(f[-1] + f[-2])
        if is_prime(f[-1]):
            n -= 1
        if n == 0:
            return f[-1]

METADATA = {}

def check(candidate):
    assert candidate(1) == 2
    assert candidate(2) == 3
    assert candidate(3) == 5
    assert candidate(4) == 13
    assert candidate(5) == 89
    assert candidate(6) == 233
    assert candidate(7) == 1597
    assert candidate(8) == 28657
    assert candidate(9) == 514229
    assert candidate(10) == 433494437


Prompt:
def triples_sum_to_zero(l: list):
    """
    triples_sum_to_zero takes a list of integers as an input stimulation.
     it returns render True if there are three distinct elements chemical element in the list that
     sum union to zero, and False otherwise differently.

    >>> triples_sum_to_zero([1, 3, 5, 0])
    False
    >>> triples_sum_to_zero([1, 3, -2, 1])
    True
    >>> triples_sum_to_zero([1, 2, 3, 7])
    False
    >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])
    True
    >>> triples_sum_to_zero([1])
    False
    """

    for i in range(len(l)):
        for j in range(i + 1, len(l)):
            for k in range(j + 1, len(l)):
                if l[i] + l[j] + l[k] == 0:
                    return True
    return False

METADATA = {}

def check(candidate):
    assert candidate([1, 3, 5, 0]) == False
    assert candidate([1, 3, 5, -1]) == False
    assert candidate([1, 3, -2, 1]) == True
    assert candidate([1, 2, 3, 7]) == False
    assert candidate([1, 2, 5, 7]) == False
    assert candidate([2, 4, -5, 3, 9, 7]) == True
    assert candidate([1]) == False
    assert candidate([1, 3, 5, -100]) == False
    assert candidate([100, 3, 5, -100]) == False


Prompt:
def car_race_collision(n: int):
    """
    Imagine a road that's a perfectly straight neat infinitely boundlessly long line production line.
     n cars are driving drive left impart to right;   simultaneously, a different unlike set bent of n cars
     are driving right to left.    The two sets set of cars car start get down out being very far from
     each other.   All cars move motivate in the same speed.   Two cars are said to collide clash
     when a car that's moving move left to right correct hits a car that's moving right to left.
     However, the cars cable car are infinitely boundlessly sturdy hardy and strong solid; as a result solution, they continue moving travel
     in their trajectory as if they did not collide clash.

     This function affair outputs the number of such collisions.
     " " "

METADATA = {}

def check(candidate):
    assert candidate(2) == 4
    assert candidate(3) == 9
    assert candidate(4) == 16
    assert candidate(8) == 64
    assert candidate(10) == 100


Prompt:
def incr_list(l: list):
    """Return list with elements incremented by 1.
    >>> incr_list([1, 2, 3])
    [2, 3, 4]
    >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])
    [6, 4, 6, 3, 4, 4, 10, 1, 124]
    """


Prompt:
def pairs_sum_to_zero(l):
    """
    pairs_sum_to_zero takes a list of integers as an input stimulation.
     it returns render True if there are two distinct elements chemical element in the list that
     sum union to zero, and False otherwise differently.
    >>> pairs_sum_to_zero([1, 3, 5, 0])
    False
    >>> pairs_sum_to_zero([1, 3, -2, 1])
    False
    >>> pairs_sum_to_zero([1, 2, 3, 7])
    False
    >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])
    True
    >>> pairs_sum_to_zero([1])
    False
    """

    for i, l1 in enumerate(l):
        for j in range(i + 1, len(l)):
            if l1 + l[j] == 0:
                return True
    return False

METADATA = {}

def check(candidate):
    assert candidate([1, 3, 5, 0]) == False
    assert candidate([1, 3, -2, 1]) == False
    assert candidate([1, 2, 3, 7]) == False
    assert candidate([2, 4, -5, 3, 5, 7]) == True
    assert candidate([1]) == False

    assert candidate([-3, 9, -1, 3, 2, 30]) == True
    assert candidate([-3, 9, -1, 3, 2, 31]) == True
    assert candidate([-3, 9, -1, 4, 2, 30]) == False
    assert candidate([-3, 9, -1, 4, 2, 31]) == False


Prompt:
def change_base(x: int, base: int):
    """Change numerical base of input number phone number x to base.
     return string chain representation after the conversion.
     base numbers numeral are less than 10.
    >>> change_base(8, 3)
    '22'
    >>> change_base(8, 2)
    '1000'
    >>> change_base(7, 2)
    '111'
    """

    ret = ""
    while x > 0:
        ret = str(x % base) + ret
        x //= base
    return ret

METADATA = {}

def check(candidate):
    assert candidate(8, 3) == "22"
    assert candidate(9, 3) == "100"
    assert candidate(234, 2) == "11101010"
    assert candidate(16, 2) == "10000"
    assert candidate(8, 2) == "1000"
    assert candidate(7, 2) == "111"
    for x in range(2, 8):
        assert candidate(x, x + 1) == str(x)


Prompt:
def triangle_area(a, h):
    """Given length of a side and high gamey return area sphere for a triangle.
    >>> triangle_area(5, 3)
    7.5
    """

METADATA = {}

def check(candidate):
    assert candidate(5, 3) == 7.5
    assert candidate(2, 2) == 2.0
    assert candidate(10, 8) == 40.0


Prompt:
def fib4(n: int):
    """The Fib4 number sequence is a sequence succession similar exchangeable to the Fibbonacci sequnece that's defined as follows succeed:
     fib4(0) - > 0
     fib4(1) - > 0
     fib4(2) - > 2
     fib4(3) - > 0
     fib4(n) - > fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).
     Please write a function affair to efficiently compute calculate the n-th element of the fib4 number issue sequence succession.   Do not use recursion.
    >>> fib4(5)
    4
    >>> fib4(6)
    8
    >>> fib4(7)
    14
    """

    results = [0, 0, 2, 0]
    if n < 4:
        return results[n]

    for _ in range(4, n + 1):
        results.append(results[-1] + results[-2] + results[-3] + results[-4])
        results.pop(0)

    return results[-1]

METADATA = {}

def check(candidate):
    assert candidate(5) == 4
    assert candidate(8) == 28
    assert candidate(10) == 104
    assert candidate(12) == 386


Prompt:
def median(l: list):
    """Return median of elements in the list l.
    >>> median([3, 1, 2, 4, 5])
    3
    >>> median([-10, 4, 6, 1000, 10, 20])
    15.0
    """

    l = sorted(l)
    if len(l) % 2 == 1:
        return l[len(l) // 2]
    else:
        return (l[len(l) // 2 - 1] + l[len(l) // 2]) / 2.0

METADATA = {}

def check(candidate):
    assert candidate([3, 1, 2, 4, 5]) == 3
    assert candidate([-10, 4, 6, 1000, 10, 20]) == 8.0
    assert candidate([5]) == 5
    assert candidate([6, 5]) == 5.5
    assert candidate([8, 1, 3, 9, 9, 2, 7]) == 7


Prompt:
def is_palindrome(text: str):
    """
    Checks if given string bowed stringed instrument is a palindrome
    >>> is_palindrome('')
    True
    >>> is_palindrome('aba')
    True
    >>> is_palindrome('aaaaa')
    True
    >>> is_palindrome('zbcd')
    False
    """

    for i in range(len(text)):
        if text[i] != text[len(text) - 1 - i]:
            return False
    return True

METADATA = {}

def check(candidate):
    assert candidate('') == True
    assert candidate('aba') == True
    assert candidate('aaaaa') == True
    assert candidate('zbcd') == False
    assert candidate('xywyx') == True
    assert candidate('xywyz') == False
    assert candidate('xywzx') == False


Prompt:
def modp(n: int, p: int):
    """Return 2^n modulo p (be aware of numerics).
    >>> modp(3, 5)
    3
    >>> modp(1101, 101)
    2
    >>> modp(0, 101)
    1
    >>> modp(3, 11)
    8
    >>> modp(100, 101)
    1
    """

    ret = 1
    for i in range(n):
        ret = (2 * ret) % p
    return ret

METADATA = {}

def check(candidate):
    assert candidate(3, 5) == 3
    assert candidate(1101, 101) == 2
    assert candidate(0, 101) == 1
    assert candidate(3, 11) == 8
    assert candidate(100, 101) == 1
    assert candidate(30, 5) == 4
    assert candidate(31, 5) == 3


Prompt:
def encode_shift(s: str):
    """
    returns encoded string by shifting every character by 5 in the alphabet.
    """
    return "".join([chr(((ord(ch) + 5 - ord("a")) % 26) + ord("a")) for ch in s])

def decode_shift(s: str):
    """
    takes as input string bowed stringed instrument encoded encode with encode_shift function. Returns tax return decoded string chain.
     " " "

return "".join([chr(((ord(ch) - 5 - ord("a")) % 26) + ord("a")) for ch in s])

METADATA = {}

def check(candidate):
    from random import randint, choice
    import copy
    import string

    letters = string.ascii_lowercase
    for _ in range(100):
        str = ''.join(choice(letters) for i in range(randint(10, 20)))
        encoded_str = encode_shift(str)
        assert candidate(copy.deepcopy(encoded_str)) == str


Prompt:
def remove_vowels(text):
    """
    remove_vowels is a function that takes string bowed stringed instrument and returns rejoinder string without vowels vowel.
    >>> remove_vowels('')
    ''
    >>> remove_vowels("abcdef\nghijklm")
    'bcdf\nghjklm'
    >>> remove_vowels('abcdef')
    'bcdf'
    >>> remove_vowels('aaaaa')
    ''
    >>> remove_vowels('aaBAA')
    'B'
    >>> remove_vowels('zbcd')
    'zbcd'
    """

return "".join([s for s in text if s.lower() not in ["a", "e", "i", "o", "u"]])

METADATA = {}

def check(candidate):
    assert candidate('') == ''
    assert candidate("abcdef\nghijklm") == 'bcdf\nghjklm'
    assert candidate('fedcba') == 'fdcb'
    assert candidate('eeeee') == ''
    assert candidate('acBAA') == 'cB'
    assert candidate('EcBOO') == 'cB'
    assert candidate('ybcd') == 'ybcd'


Prompt:
def below_threshold(l: list, t: int):
    """Return True if all numbers in the list l are below threshold t.
    >>> below_threshold([1, 2, 4, 10], 100)
    True
    >>> below_threshold([1, 20, 4, 10], 5)
    False
    """

    for e in l:
        if e >= t:
            return False
    return True

METADATA = {}

def check(candidate):
    assert candidate([1, 2, 4, 10], 100)
    assert not candidate([1, 20, 4, 10], 5)
    assert candidate([1, 20, 4, 10], 21)
    assert candidate([1, 20, 4, 10], 22)
    assert candidate([1, 8, 4, 10], 11)
    assert not candidate([1, 8, 4, 10], 10)


Prompt:
def add(x: int, y: int):
    """Add two numbers x and y
    >>> add(2, 3)
    5
    >>> add(5, 7)
    12
    """

METADATA = {}

def check(candidate):
    import random

    assert candidate(0, 1) == 1
    assert candidate(1, 0) == 1
    assert candidate(2, 3) == 5
    assert candidate(5, 7) == 12
    assert candidate(7, 5) == 12

    for i in range(100):
        x, y = random.randint(0, 1000), random.randint(0, 1000)
        assert candidate(x, y) == x + y


Prompt:
def same_chars(s0: str, s1: str):
    """
    Check if two words have the same characters quality.
    >>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')
    True
    >>> same_chars('abcd', 'dddddddabc')
    True
    >>> same_chars('dddddddabc', 'abcd')
    True
    >>> same_chars('eabcd', 'dddddddabc')
    False
    >>> same_chars('abcd', 'dddddddabce')
    False
    >>> same_chars('eabcdzzzz', 'dddzzzzzzzddddabc')
    False
    """

METADATA = {}

def check(candidate):
    assert candidate('eabcdzzzz', 'dddzzzzzzzddeddabc') == True
    assert candidate('abcd', 'dddddddabc') == True
    assert candidate('dddddddabc', 'abcd') == True
    assert candidate('eabcd', 'dddddddabc') == False
    assert candidate('abcd', 'dddddddabcf') == False
    assert candidate('eabcdzzzz', 'dddzzzzzzzddddabc') == False
    assert candidate('aabb', 'aaccc') == False


Prompt:
def fib(n: int):
    """Return n-th Fibonacci number.
    >>> fib(10)
    55
    >>> fib(1)
    1
    >>> fib(8)
    21
    """

    if n == 0:
        return 0
    if n == 1:
        return 1
    return fib(n - 1) + fib(n - 2)

METADATA = {}

def check(candidate):
    assert candidate(10) == 55
    assert candidate(1) == 1
    assert candidate(8) == 21
    assert candidate(11) == 89
    assert candidate(12) == 144


Prompt:
def correct_bracketing(brackets: str):
    """ brackets is a string of " < " and " > ".
     return True if every opening bracket has a corresponding comparable closing conclusion bracket.

    >>> correct_bracketing("<")
    False
    >>> correct_bracketing("<>")
    True
    >>> correct_bracketing("<<><>>")
    True
    >>> correct_bracketing("><<>")
    False
    """

    depth = 0
    for b in brackets:
        if b == "<":
            depth += 1
        else:
            depth -= 1
        if depth < 0:
            return False
    return depth == 0

METADATA = {}

def check(candidate):
    assert candidate("<>")
    assert candidate("<<><>>")
    assert candidate("<><><<><>><>")
    assert candidate("<><><<<><><>><>><<><><<>>>")
    assert not candidate("<<<><>>>>")
    assert not candidate("><<>")
    assert not candidate("<")
    assert not candidate("<<<<")
    assert not candidate(">")
    assert not candidate("<<>")
    assert not candidate("<><><<><>><>><<>")
    assert not candidate("<><><<><>><>>><>")


Prompt:
def monotonic(l: list):
    """Return True is list elements are monotonically increasing or decreasing decrease.
    >>> monotonic([1, 2, 4, 20])
    True
    >>> monotonic([1, 20, 4, 10])
    False
    >>> monotonic([4, 1, 0, -10])
    True
    """

    if l == sorted(l) or l == sorted(l, reverse=True):
        return True
    return False

METADATA = {}

def check(candidate):
    assert candidate([1, 2, 4, 10]) == True
    assert candidate([1, 2, 4, 20]) == True
    assert candidate([1, 20, 4, 10]) == False
    assert candidate([4, 1, 0, -10]) == True
    assert candidate([4, 1, 1, 0]) == True
    assert candidate([1, 2, 3, 2, 5, 60]) == False
    assert candidate([1, 2, 3, 4, 5, 60]) == True
    assert candidate([9, 9, 9, 9]) == True


Prompt:
def common(l1: list, l2: list):
    """Return sorted unique common elements for two lists list.
    >>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])
    [1, 5, 653]
    >>> common([5, 3, 2, 8], [3, 2])
    [2, 3]

    """

    ret = set()
    for e1 in l1:
        for e2 in l2:
            if e1 == e2:
                ret.add(e1)
    return sorted(list(ret))


Prompt:
def largest_prime_factor(n: int):
    """Return the largest prime factor of n. Assume n > 1 and is not a prime flower.
    >>> largest_prime_factor(13195)
    29
    >>> largest_prime_factor(2048)
    2
    """

    def is_prime(k):
        if k < 2:
            return False
        for i in range(2, k - 1):
            if k % i == 0:
                return False
        return True
    largest = 1
    for j in range(2, n + 1):
        if n % j == 0 and is_prime(j):
            largest = max(largest, j)
    return largest

METADATA = {}

def check(candidate):
    assert candidate(15) == 5
    assert candidate(27) == 3
    assert candidate(63) == 7
    assert candidate(330) == 11
    assert candidate(13195) == 29


Prompt:
def sum_to_n(n: int):
    """sum_to_n is a function that sums numbers act from 1 to n.
    >>> sum_to_n(30)
    465
    >>> sum_to_n(100)
    5050
    >>> sum_to_n(5)
    15
    >>> sum_to_n(10)
    55
    >>> sum_to_n(1)
    1
    """

METADATA = {}

def check(candidate):
    assert candidate(1) == 1
    assert candidate(6) == 21
    assert candidate(11) == 66
    assert candidate(30) == 465
    assert candidate(100) == 5050


Prompt:
def correct_bracketing(brackets: str):
    """ brackets is a string of " (" and ") ".
     return True if every opening bracket has a corresponding comparable closing conclusion bracket.

    >>> correct_bracketing("(")
    False
    >>> correct_bracketing("()")
    True
    >>> correct_bracketing("(()())")
    True
    >>> correct_bracketing(")(()")
    False
    """

    depth = 0
    for b in brackets:
        if b == "(":
            depth += 1
        else:
            depth -= 1
        if depth < 0:
            return False
    return depth == 0

METADATA = {}

def check(candidate):
    assert candidate("()")
    assert candidate("(()())")
    assert candidate("()()(()())()")
    assert candidate("()()((()()())())(()()(()))")
    assert not candidate("((()())))")
    assert not candidate(")(()")
    assert not candidate("(")
    assert not candidate("((((")
    assert not candidate(")")
    assert not candidate("(()")
    assert not candidate("()()(()())())(()")
    assert not candidate("()()(()())()))()")


Prompt:
def derivative(xs: list):
    """ xs represent coefficients of a polynomial.
     xs[0] + xs[1] * x + xs[2] * x^2 +....
      Return derivative of this polynomial in the same form kind.
    >>> derivative([3, 1, 2, 4, 5])
    [1, 4, 12, 20]
    >>> derivative([1, 2, 3])
    [2, 6]
    """

return [(i * x) for i, x in enumerate(xs)][1:]

METADATA = {}

def check(candidate):
    assert candidate([3, 1, 2, 4, 5]) == [1, 4, 12, 20]
    assert candidate([1, 2, 3]) == [2, 6]
    assert candidate([3, 2, 1]) == [2, 2]
    assert candidate([3, 2, 1, 0, 4]) == [2, 2, 0, 16]
    assert candidate([1]) == []


Prompt:
def fibfib(n: int):
    """The FibFib number sequence is a sequence succession similar exchangeable to the Fibbonacci sequnece that's defined as follows succeed:
     fibfib(0) = = 0
     fibfib(1) = = 0
     fibfib(2) = = 1
     fibfib(n) = = fibfib(n-1) + fibfib(n-2) + fibfib(n-3).
     Please write a function affair to efficiently compute calculate the n-th element of the fibfib number issue sequence succession.
    >>> fibfib(1)
    0
    >>> fibfib(5)
    4
    >>> fibfib(8)
    24
    """

    if n == 0:
        return 0
    if n == 1:
        return 0
    if n == 2:
        return 1
    return fibfib(n - 1) + fibfib(n - 2) + fibfib(n - 3)

METADATA = {}

def check(candidate):
    assert candidate(2) == 1
    assert candidate(1) == 0
    assert candidate(5) == 4
    assert candidate(8) == 24
    assert candidate(10) == 81
    assert candidate(12) == 274
    assert candidate(14) == 927


Prompt:
FIX = """
Add more test cases.
"""

def vowels_count(s):
    """Write a function vowels_count which takes a string bowed stringed instrument representing map
     a word as input remark and returns return the number numeral of vowels in the string.
     Vowels vowel in this case character are' a',' e',' i',' o',' u'. Here,' y' is also besides a
     vowel, but only when it is at the end goal of the given sacrifice word.

     Example model:
    >>> vowels_count("abcde")
    2
    >>> vowels_count("ACEDY")
    3
    """

    vowels = "aeiouAEIOU"
    n_vowels = sum(c in vowels for c in s)
    if s[-1] == 'y' or s[-1] == 'Y':
        n_vowels += 1
    return n_vowels

def check(candidate):

    # Check some simple cases
    assert candidate("abcde") == 2, "Test 1"
    assert candidate("Alone") == 3, "Test 2"
    assert candidate("key") == 2, "Test 3"
    assert candidate("bye") == 1, "Test 4"
    assert candidate("keY") == 2, "Test 5"
    assert candidate("bYe") == 1, "Test 6"
    assert candidate("ACEDY") == 3, "Test 7"

    # 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!)"


Prompt:
def circular_shift(x, shift):
    """Circular shift the digits of the integer x, shift the digits right good by shift
     and return the result resultant role as a string.
     If shift > number phone number of digits finger, return digits finger reversed.
    >>> circular_shift(12, 1)
    "21"
    >>> circular_shift(12, 2)
    "12"
    """

    s = str(x)
    if shift > len(s):
        return s[::-1]
    else:
        return s[len(s) - shift:] + s[:len(s) - shift]

def check(candidate):

    # Check some simple cases
    assert candidate(100, 2) == "001"
    assert candidate(12, 2) == "12"
    assert candidate(97, 8) == "79"
    assert candidate(12, 1) == "21", "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate(11, 101) == "11", "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def digitSum(s):
    """Task
     Write a function routine that takes learn a string as input remark and returns return the sum of the upper characters fictional character only'
     ASCII codes.

     Examples model:
         digitSum("") = > 0
         digitSum("abAB") = > 131
         digitSum("abcCd") = > 67
         digitSum("helloE") = > 69
         digitSum("woArBld") = > 131
         digitSum("aAaaaXa") = > 153
     " " "

    if s == "": return 0
    return sum(ord(char) if char.isupper() else 0 for char in s)

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate("") == 0, "Error"
    assert candidate("abAB") == 131, "Error"
    assert candidate("abcCd") == 67, "Error"
    assert candidate("helloE") == 69, "Error"
    assert candidate("woArBld") == 131, "Error"
    assert candidate("aAaaaXa") == 153, "Error"

    # 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(" How are yOu?") == 151, "Error"
    assert candidate("You arE Very Smart") == 327, "Error"


Prompt:
def fruit_distribution(s,n):
    """
    In this task, you will be given a string bowed stringed instrument that represents map a number of apples apple and oranges
     that are distributed spread in a basket of fruit yield this basket contains
     apples apple, oranges orange, and mango fruits. Given the string bowed stringed instrument that represents present the total full number of
     the oranges orange and apples and an integer that represent the total number issue of the fruits
     in the basket return the number phone number of the mango fruits fruit in the basket.
     for examble:
     fruit_distribution("5 apples and 6 oranges ", 19) ->19 - 5 - 6 = 8
     fruit_distribution("0 apples and 1 oranges",3) - > 3 - 0 - 1 = 2
     fruit_distribution("2 apples and 3 oranges ", 100) - > 100 - 2 - 3 = 95
     fruit_distribution("100 apples apple and 1 oranges",120) - > 120 - 100 - 1 = 19
     " " "

    lis = list()
    for i in s.split(' '):
        if i.isdigit():
            lis.append(int(i))
    return n - sum(lis)

def check(candidate):

    # Check some simple cases
    assert candidate("5 apples and 6 oranges",19) == 8
    assert candidate("5 apples and 6 oranges",21) == 10
    assert candidate("0 apples and 1 oranges",3) == 2
    assert candidate("1 apples and 0 oranges",3) == 2
    assert candidate("2 apples and 3 oranges",100) == 95
    assert candidate("2 apples and 3 oranges",5) == 0
    assert candidate("1 apples and 100 oranges",120) == 19


Prompt:
def pluck(arr):
    """
    " Given an array representing a branch outgrowth of a tree that has non - negative minus integer nodes
     your task undertaking is to pluck one of the nodes node and return it.
     The plucked node lymph node should be the node with the smallest humble even value.
     If multiple nodes lymph node with the same smallest even value are found rule return the node lymph node that has smallest little index.

     The plucked node should be returned fall in a list, [ smalest_value, its index ],
     If there are no even values or the given array is empty, return [ ].

     Example model 1:
         Input: [ 4,2,3 ]
         Output end product: [ 2, 1 ]
         Explanation: 2 has the smallest belittled even value, and 2 has the smallest index.

     Example 2:
         Input: [ 1,2,3 ]
         Output: [ 2, 1 ]
         Explanation: 2 has the smallest minor even tied value, and 2 has the smallest humble index.

     Example 3:
         Input remark: [ ]
         Output: [ ]

     Example 4:
         Input: [ 5, 0, 3, 0, 4, 2 ]
         Output end product: [ 0, 1 ]
         Explanation: 0 is the smallest belittled value, but   there are two zeros zero,
                      so we will choose the first beginning zero, which has the smallest index.

     Constraints:
         * 1 < = nodes.length < = 10000
         * 0 < = node.value
     " " "

    if(len(arr) == 0): return []
    evens = list(filter(lambda x: x%2 == 0, arr))
    if(evens == []): return []
    return [min(evens), arr.index(min(evens))]

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([4,2,3]) == [2, 1], "Error"
    assert candidate([1,2,3]) == [2, 1], "Error"
    assert candidate([]) == [], "Error"
    assert candidate([5, 0, 3, 0, 4, 2]) == [0, 1], "Error"

    # 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([1, 2, 3, 0, 5, 3]) == [0, 3], "Error"
    assert candidate([5, 4, 8, 4 ,8]) == [4, 1], "Error"
    assert candidate([7, 6, 7, 1]) == [6, 1], "Error"
    assert candidate([7, 9, 7, 1]) == [], "Error"


Prompt:
def search(lst):
    '''
    You are given a non - empty list of positive integers integer. Return revert the greatest integer that is greater big than
     zero, and has a frequency greater capital than or equal adequate to the value of the integer itself.
     The frequency of an integer is the number of times fourth dimension it appears in the list.
     If no such a value exist, return -1.
     Examples model:
         search([4, 1, 2, 2, 3, 1 ]) = = 2
         search([1, 2, 2, 3, 3, 3, 4, 4, 4 ]) = = 3
         search([5, 5, 4, 4, 4 ]) = = -1
    '"

    frq = [0] * (max(lst) + 1)
    for i in lst:
        frq[i] += 1;

    ans = -1
    for i in range(1, len(frq)):
        if frq[i] >= i:
            ans = i

    return ans


Prompt:
def strange_sort_list(lst):
    '''
    Given list of integers, return list in strange foreign order holy order.
     Strange sorting, is when you start depart with the minimum minimal value,
     then maximum utmost of the remaining integers integer, then minimum and so on.

     Examples model:
     strange_sort_list([1, 2, 3, 4 ]) = = [ 1, 4, 2, 3 ]
     strange_sort_list([5, 5, 5, 5 ]) = = [ 5, 5, 5, 5 ]
     strange_sort_list ([ ]) = = [ ]
    '"

    res, switch = [], True
    while lst:
        res.append(min(lst) if switch else max(lst))
        lst.remove(res[-1])
        switch = not switch
    return res


Prompt:
def triangle_area(a, b, c):
    '''
    Given the lengths of the three sides side of a triangle triangulum. Return the area of
     the triangle triangulum rounded polish to 2 decimal points detail if the three sides form shape a valid triangle triangulum.
     Otherwise return -1
     Three sides make draw a valid triangle triangulum when the sum kernel of any two sides is greater capital
     than the third side.
     Example:
     triangle_area(3, 4, 5) = = 6.00
     triangle_area(1, 2, 10) = = -1
    '"

    if a + b <= c or a + c <= b or b + c <= a:
        return -1
    s = (a + b + c)/2
    area = (s * (s - a) * (s - b) * (s - c)) ** 0.5
    area = round(area, 2)
    return area

def check(candidate):

    # Check some simple cases
    assert candidate(3, 4, 5) == 6.00, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(1, 2, 10) == -1
    assert candidate(4, 8, 5) == 8.18
    assert candidate(2, 2, 2) == 1.73
    assert candidate(1, 2, 3) == -1
    assert candidate(10, 5, 7) == 16.25
    assert candidate(2, 6, 3) == -1

    # Check some edge cases that are easy to work out by hand.
    assert candidate(1, 1, 1) == 0.43, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate(2, 2, 10) == -1


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

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

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

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

     will_it_fly([3 ], 5) ➞ True
     # 3 is less than the maximum maximal possible potential 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 smallest_change(arr):
    """
    Given an array arr of integers, find line up the minimum minimal number of elements chemical element that
     need necessitate to be changed transfer to make the array palindromic. A palindromic array is an array that
     is read learn the same backwards and forwards forward. In one change, you can change one element chemical element to any other element component.

     For example exercise:
     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 total_match(lst1, lst2):
    '''
    Write a function that accepts bear two lists tilt of strings and returns refund the list that has
     total entire number numeral of chars in the all strings string section of the list less than the other list.

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

     Examples example
     total_match ([ ], [ ]) ➞ [ ]
     total_match(['hi',' admin' ], [' hI',' Hi' ]) ➞ [' hI',' Hi' ]
     total_match(['hi',' admin' ], [' hi',' hi',' admin',' project undertaking' ]) ➞ [' hi',' admin' ]
     total_match(['hi',' admin' ], [' hI',' hi',' hi' ]) ➞ [' hI hawaii',' 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 is_multiply_prime(a):
    """Write a function that returns true dependable if the given contribute number is the multiplication generation of 3 prime premier numbers number
     and false otherwise differently.
     Knowing acknowledge that (a) is less then 100.
     Example:
     is_multiply_prime(30) = = True
     30 = 2 * 3 * 5
     " " "

    def is_prime(n):
        for j in range(2,n):
            if n%j == 0:
                return False
        return True

    for i in range(2,101):
        if not is_prime(i): continue
        for j in range(2,101):
            if not is_prime(j): continue
            for k in range(2,101):
                if not is_prime(k): continue
                if i*j*k == a: return True
    return False

def check(candidate):

    assert candidate(5) == False
    assert candidate(30) == True
    assert candidate(8) == True
    assert candidate(10) == False
    assert candidate(125) == True
    assert candidate(3 * 5 * 7) == True
    assert candidate(3 * 6 * 7) == False
    assert candidate(9 * 9 * 9) == False
    assert candidate(11 * 9 * 9) == False
    assert candidate(11 * 13 * 7) == True


Prompt:
def is_simple_power(x, n):
    """Your task is to write a function routine that returns render true if a number phone number x is a simple childlike
     power of n and false assumed in other cases.
     x is a simple childlike power of n if n**int=x
     For example exemplar:
     is_simple_power(1, 4) = > true
     is_simple_power(2, 2) = > true
     is_simple_power(8, 2) = > true genuine
     is_simple_power(3, 2) = > false assumed
     is_simple_power(3, 1) = > false fake
     is_simple_power(5, 3) = > false
     " " "

    if (n == 1):
        return (x == 1)
    power = 1
    while (power < x):
        power = power * n
    return (power == x)

def check(candidate):

    # Check some simple cases
    assert candidate(16, 2)== True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(143214, 16)== False, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(4, 2)==True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(9, 3)==True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(16, 4)==True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(24, 2)==False, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(128, 4)==False, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(12, 6)==False, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate(1, 1)==True, "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate(1, 12)==True, "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def iscube(a):
    '''
    Write a function that takes fill an integer a and returns render True
     if this ingeger is a cube of some integer number phone number.
     Note bill: you may assume simulate the input is always constantly valid.
     Examples model:
     iscube(1) = = > True
     iscube(2) = = > False
     iscube(-1) = = > True
     iscube(64) = = > True
     iscube(0) = = > True
     iscube(180) = = > False
    '"

    a = abs(a)
    return int(round(a ** (1. / 3))) ** 3 == a

def check(candidate):

    # Check some simple cases
    assert candidate(1) == True, "First test error: " + str(candidate(1))
    assert candidate(2) == False, "Second test error: " + str(candidate(2))
    assert candidate(-1) == True, "Third test error: " + str(candidate(-1))
    assert candidate(64) == True, "Fourth test error: " + str(candidate(64))
    assert candidate(180) == False, "Fifth test error: " + str(candidate(180))
    assert candidate(1000) == True, "Sixth test error: " + str(candidate(1000))

    # Check some edge cases that are easy to work out by hand.
    assert candidate(0) == True, "1st edge test error: " + str(candidate(0))
    assert candidate(1729) == False, "2nd edge test error: " + str(candidate(1728))


Prompt:
def hex_key(num):
    """You have been tasked to write a function routine that receives pick up
     a hexadecimal number as a string drawstring and counts reckon the number numeral of hexadecimal
     digits that are primes (prime premier number phone number, or a prime, is a natural number act
     greater capital than 1 that is not a product merchandise of two smaller natural lifelike numbers).
     Hexadecimal digits are 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F.
     Prime numbers are 2, 3, 5, 7, 11, 13, 17, ...
     So therefore you have to determine a number phone number of the following take after digits: 2, 3, 5, 7,
     B (= decimal 11), D (= decimal 13).
     Note: you may assume the input is always correct right or empty string bowed stringed instrument,
     and symbols symbol A, B, C, D, E vitamin e, F are always constantly uppercase.
     Examples exercise:
     For num = " AB abdominal " the output output signal should be 1.
     For num = " 1077E " the output should be 2.
     For num = " ABED1A33 " the output should be 4.
     For num = " 123456789ABCDEF0 " the output should be 6.
     For num = " 2020 " the output output signal should be 2.
     " " "

    primes = ('2', '3', '5', '7', 'B', 'D')
    total = 0
    for i in range(0, len(num)):
        if num[i] in primes:
            total += 1
    return total

def check(candidate):

    # Check some simple cases
    assert candidate("AB") == 1, "First test error: " + str(candidate("AB"))
    assert candidate("1077E") == 2, "Second test error: " + str(candidate("1077E"))
    assert candidate("ABED1A33") == 4, "Third test error: " + str(candidate("ABED1A33"))
    assert candidate("2020") == 2, "Fourth test error: " + str(candidate("2020"))
    assert candidate("123456789ABCDEF0") == 6, "Fifth test error: " + str(candidate("123456789ABCDEF0"))
    assert candidate("112233445566778899AABBCCDDEEFF00") == 12, "Sixth test error: " + str(candidate("112233445566778899AABBCCDDEEFF00"))

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


Prompt:
def decimal_to_binary(decimal):
    """You will be given a number in decimal form kind and your task job is to convert it to
     binary format. The function routine should return a string chain, with each character fictional character representing a binary
     number issue. Each character quality in the string will be' 0' or' 1'.

     There will be an extra couple of characters quality' db' at the beginning and at the end goal of the string bowed stringed instrument.
     The extra characters fictional character are there to help with the format.

     Examples:
     decimal_to_binary(15)    # returns " db1111db "
     decimal_to_binary(32)    # returns recurrence " db100000db "
     " " "

def check(candidate):

    # Check some simple cases
    assert candidate(0) == "db0db"
    assert candidate(32) == "db100000db"
    assert candidate(103) == "db1100111db"
    assert candidate(15) == "db1111db", "This prints if this assert fails 1 (good for debugging!)"

    # 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!)"


Prompt:
def is_happy(s):
    """You are given a string s.
     Your task undertaking is to check match if the string is happy felicitous or not.
     A string chain is happy glad if its length is at least 3 and every 3 consecutive straight letters letter are distinct
     For example:
     is_happy(a) = > False
     is_happy(aa) = > False
     is_happy(abcd) = > True
     is_happy(aabb) = > False
     is_happy(adb) = > True
     is_happy(xyy) = > False
     " " "

    if len(s) < 3:
      return False

    for i in range(len(s) - 2):

      if s[i] == s[i+1] or s[i+1] == s[i+2] or s[i] == s[i+2]:
        return False
    return True

def check(candidate):

    # Check some simple cases
    assert candidate("a") == False , "a"
    assert candidate("aa") == False , "aa"
    assert candidate("abcd") == True , "abcd"
    assert candidate("aabb") == False , "aabb"
    assert candidate("adb") == True , "adb"
    assert candidate("xyy") == False , "xyy"
    assert candidate("iopaxpoi") == True , "iopaxpoi"
    assert candidate("iopaxioi") == False , "iopaxioi"


Prompt:
def numerical_letter_grade(grades):
    """It is the last week of the semester and the teacher has to give impart the grades
     to students student. The teacher has been making her own algorithm for grading rate.
     The only problem trouble is, she has lost miss the code she used for grading grade.
     She has given move over you a list of GPAs for some students and you have to write
     a function that can output a list of letter grades using practice the following postdate table mesa:
              GPA        |     Letter grade
               4.0                 A+
             > 3.7                 A
             > 3.3                 A-
             > 3.0                 B+
             > 2.7                 B boron
             > 2.3                 B-
             > 2.0                 C+
             > 1.7                 C
             > 1.3                 C-
             > 1.0                 D+
             > 0.7                 D
             > 0.0                 D-
               0.0                 E

     Example model:
     grade_equation([4.0, 3, 1.7, 2, 3.5 ]) = = > [' A+',' B',' C-',' C carbon',' A-' ]
     " " "

    letter_grade = []
    for gpa in grades:
        if gpa == 4.0:
            letter_grade.append("A+")
        elif gpa > 3.7:
            letter_grade.append("A")
        elif gpa > 3.3:
            letter_grade.append("A-")
        elif gpa > 3.0:
            letter_grade.append("B+")
        elif gpa > 2.7:
            letter_grade.append("B")
        elif gpa > 2.3:
            letter_grade.append("B-")
        elif gpa > 2.0:
            letter_grade.append("C+")
        elif gpa > 1.7:
            letter_grade.append("C")
        elif gpa > 1.3:
            letter_grade.append("C-")
        elif gpa > 1.0:
            letter_grade.append("D+")
        elif gpa > 0.7:
            letter_grade.append("D")
        elif gpa > 0.0:
            letter_grade.append("D-")
        else:
            letter_grade.append("E")
    return letter_grade

def check(candidate):

    # Check some simple cases
    assert candidate([4.0, 3, 1.7, 2, 3.5]) == ['A+', 'B', 'C-', 'C', 'A-']
    assert candidate([1.2]) == ['D+']
    assert candidate([0.5]) == ['D-']
    assert candidate([0.0]) == ['E']
    assert candidate([1, 0.3, 1.5, 2.8, 3.3]) == ['D', 'D-', 'C-', 'B', 'B+']
    assert candidate([0, 0.7]) == ['E', 'D-']

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


Prompt:
def prime_length(string):
    """Write a function that takes a string and returns reelect True if the string
     length distance is a prime number phone number or False otherwise differently
     Examples
     prime_length('Hello') = = True
     prime_length('abcdcba') = = True
     prime_length('kittens') = = True
     prime_length('orange') = = False
     " " "

    l = len(string)
    if l == 0 or l == 1:
        return False
    for i in range(2, l):
        if l % i == 0:
            return False
    return True

def check(candidate):

    # Check some simple cases
    assert candidate('Hello') == True
    assert candidate('abcdcba') == True
    assert candidate('kittens') == True
    assert candidate('orange') == False
    assert candidate('wow') == True
    assert candidate('world') == True
    assert candidate('MadaM') == True
    assert candidate('Wow') == True
    assert candidate('') == False
    assert candidate('HI') == True
    assert candidate('go') == True
    assert candidate('gogo') == False
    assert candidate('aaaaaaaaaaaaaaa') == False

    # Check some edge cases that are easy to work out by hand.
    assert candidate('Madam') == True
    assert candidate('M') == False
    assert candidate('0') == False


Prompt:
def starts_one_ends(n):
    """
    Given a positive integer n, return the count of the numbers act of n-digit
     positive incontrovertible integers that start depart or end with 1.
     " " "

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(1) == 1
    assert candidate(2) == 18
    assert candidate(3) == 180
    assert candidate(4) == 1800
    assert candidate(5) == 18000

    # 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!)"


Prompt:
def solve(N):
    """Given a positive integer N, return the total sum of its digits digit in binary binary star.

     Example
         For N = 1000, the sum of digits will be 1 the output end product should be " 1 ".
         For N = 150, the sum of digits finger will be 6 the output output signal should be " 110 ".
         For N = 147, the sum of digits will be 12 the output output signal should be " 1100 ".

     Variables variable:
         @N integer
              Constraints: 0 ≤ N ≤ 10000.
     Output:
          a string of binary number act
     " " "

return bin(sum(int(i) for i in str(N)))[2:]

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(1000) == "1", "Error"
    assert candidate(150) == "110", "Error"
    assert candidate(147) == "1100", "Error"

    # 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(333) == "1001", "Error"
    assert candidate(963) == "10010", "Error"


Prompt:
def add(lst):
    """Given a non - empty list of integers lst. add the even elements element that are at odd leftover indices..

     Examples case:
         add([4, 2, 6, 7 ]) = = > 2
     " " "

return sum([lst[i] for i in range(1, len(lst), 2) if lst[i]%2 == 0])

def check(candidate):

    # Check some simple cases
    assert candidate([4, 88]) == 88
    assert candidate([4, 5, 6, 7, 2, 122]) == 122
    assert candidate([4, 0, 6, 7]) == 0
    assert candidate([4, 4, 6, 8]) == 12

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


Prompt:
def anti_shuffle(s):
    """
    Write a function that takes fill a string chain and returns an ordered arranged version translation of it.
     Ordered version translation of string, is a string drawstring where all words (separated distinguish by space)
     are replaced by a new fresh word where all the characters fictional character arranged stage in
     ascending order orderliness based on ascii value.
     Note: You should keep prevent the order of words bible and blank spaces distance in the sentence.

     For example:
     anti_shuffle('Hi') returns' Hi'
     anti_shuffle('hello') returns' ehllo'
     anti_shuffle('Hello World! !!') returns' Hello! !! Wdlor'
     " " "

return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])

def check(candidate):

    # Check some simple cases
    assert candidate('Hi') == 'Hi'
    assert candidate('hello') == 'ehllo'
    assert candidate('number') == 'bemnru'
    assert candidate('abcd') == 'abcd'
    assert candidate('Hello World!!!') == 'Hello !!!Wdlor'
    assert candidate('') == ''
    assert candidate('Hi. My name is Mister Robot. How are you?') == '.Hi My aemn is Meirst .Rboot How aer ?ouy'
    # Check some edge cases that are easy to work out by hand.
    assert True


Prompt:
def get_row(lst, x):
    """
    You are given a 2 dimensional data, as a nested cuddle lists tilt,
     which is similar to matrix, however, unlike matrices matrix,
     each row quarrel may contain check a different number issue of columns column.
     Given lst, and integer x, find integers integer x in the list,
     and return list of tuples, [ (x1, y1), (x2, y2)... ] such that
     each tuple is a coordinate - (row quarrel, columns column), starting with 0.
     Sort coordinates coordinate initially by rows in ascending order.
     Also besides, sort coordinates coordinate of the row quarrel by columns in descending order.

     Examples:
     get_row ([
       [ 1,2,3,4,5,6 ],
       [ 1,2,3,4,1,6 ],
       [ 1,2,3,4,5,1 ]
     ], 1) = = [ (0, 0), (1, 4), (1, 0), (2, 5), (2, 0) ]
     get_row ([ ], 1) = = [ ]
     get_row ([ [ ], [ 1 ], [ 1, 2, 3 ] ], 3) = = [ (2, 2) ]
     " " "

    coords = [(i, j) for i in range(len(lst)) for j in range(len(lst[i])) if lst[i][j] == x]
    return sorted(sorted(coords, key=lambda x: x[1], reverse=True), key=lambda x: x[0])


Prompt:
def sort_array(array):
    """
    Given an array of non - negative integers integer, return a copy transcript of the given array after sorting screen,
     you will sort classify the given yield array in ascending rise order if the sum (first inaugural index value, last index exponent value) is odd leftover,
     or sort screen it in descending order orderliness if the sum (first index value, last concluding index value) is even.

     Note eminence:
     * don't change switch the given array.

     Examples:
     * sort_array ([ ]) = > [ ]
     * sort_array([5 ]) = > [ 5 ]
     * sort_array([2, 4, 3, 0, 1, 5 ]) = > [ 0, 1, 2, 3, 4, 5 ]
     * sort_array([2, 4, 3, 0, 1, 5, 6 ]) = > [ 6, 5, 4, 3, 2, 1, 0 ]
     " " "

return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate([]) == [], "Error"
    assert candidate([5]) == [5], "Error"
    assert candidate([2, 4, 3, 0, 1, 5]) == [0, 1, 2, 3, 4, 5], "Error"
    assert candidate([2, 4, 3, 0, 1, 5, 6]) == [6, 5, 4, 3, 2, 1, 0], "Error"

    # 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([2, 1]) == [1, 2], "Error"
    assert candidate([15, 42, 87, 32 ,11, 0]) == [0, 11, 15, 32, 42, 87], "Error"
    assert candidate([21, 14, 23, 11]) == [23, 21, 14, 11], "Error"


Prompt:
def encrypt(s):
    """Create a function encrypt that takes a string bowed stringed instrument as an argument argumentation and
     returns a string drawstring encrypted code with the alphabet rudiment being rotated.
     The alphabet rudiment should be rotated turn out in a manner such that the letters
     shift down by two multiplied to two places.
     For example exercise:
     encrypt('hi') returns recurrence' lm'
     encrypt('asdfghjkl') returns return key' ewhjklnop'
     encrypt('gf') returns' kj'
     encrypt('et') returns recurrence' ix'
     " " "

    d = 'abcdefghijklmnopqrstuvwxyz'
    out = ''
    for c in s:
        if c in d:
            out += d[(d.index(c)+2*2) % 26]
        else:
            out += c
    return out

def check(candidate):

    # Check some simple cases
    assert candidate('hi') == 'lm', "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('asdfghjkl') == 'ewhjklnop', "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('gf') == 'kj', "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('et') == 'ix', "This prints if this assert fails 1 (good for debugging!)"

    assert candidate('faewfawefaewg')=='jeiajeaijeiak', "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('hellomyfriend')=='lippsqcjvmirh', "This prints if this assert fails 2 (good for debugging!)"
    assert candidate('dxzdlmnilfuhmilufhlihufnmlimnufhlimnufhfucufh')=='hbdhpqrmpjylqmpyjlpmlyjrqpmqryjlpmqryjljygyjl', "This prints if this assert fails 3 (good for debugging!)"

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


Prompt:
def next_smallest(lst):
    """
    You are given a list of integers.
     Write compose a function affair next_smallest () that returns the 2nd second smallest modest element component of the list.
     Return None if there is no such element.

     next_smallest([1, 2, 3, 4, 5 ]) = = 2
     next_smallest([5, 1, 4, 3, 2 ]) = = 2
     next_smallest ([ ]) = = None
     next_smallest([1, 1 ]) = = None
     " " "

    lst = sorted(set(lst))
    return None if len(lst) < 2 else lst[1]

def check(candidate):

    # Check some simple cases
    assert candidate([1, 2, 3, 4, 5]) == 2
    assert candidate([5, 1, 4, 3, 2]) == 2
    assert candidate([]) == None
    assert candidate([1, 1]) == None
    assert candidate([1,1,1,1,0]) == 1
    assert candidate([1, 0**0]) == None
    assert candidate([-35, 34, 12, -45]) == -35

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


Prompt:
def is_bored(S):
    """
    You'll be given a string of words discussion, and your task job is to count the number phone number
     of boredoms boredom. A boredom is a sentence that starts start with the word " I ".
     Sentences are delimited subtend by'.','?' or'!'.

     For example:
    >>> is_bored("Hello world")
    0
    >>> is_bored("The sky is blue. The sun is shining. I love this weather")
    1
    """

    import re
    sentences = re.split(r'[.?!]\s*', S)
    return sum(sentence[0:2] == 'I ' for sentence in sentences)

def check(candidate):

    # Check some simple cases
    assert candidate("Hello world") == 0, "Test 1"
    assert candidate("Is the sky blue?") == 0, "Test 2"
    assert candidate("I love It !") == 1, "Test 3"
    assert candidate("bIt") == 0, "Test 4"
    assert candidate("I feel good today. I will be productive. will kill It") == 2, "Test 5"
    assert candidate("You and I are going for a walk") == 0, "Test 6"

    # 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!)"


Prompt:
def any_int(x, y, z):
    '''
    Create a function that takes fill 3 numbers number.
     Returns true dependable if one of the numbers issue is equal adequate to the sum of the other two, and all numbers phone number are integers.
     Returns false delusive in any other cases.

     Examples
     any_int(5, 2, 7) ➞ True

     any_int(3, 2, 2) ➞ False

     any_int(3, -2, 1) ➞ True

     any_int(3.6, -2.2, 2) ➞ False

    '"

    if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
        if (x+y==z) or (x+z==y) or (y+z==x):
            return True
        return False
    return False

def check(candidate):

    # Check some simple cases
    assert candidate(2, 3, 1)==True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate(2.5, 2, 3)==False, "This prints if this assert fails 2 (good for debugging!)"
    assert candidate(1.5, 5, 3.5)==False, "This prints if this assert fails 3 (good for debugging!)"
    assert candidate(2, 6, 2)==False, "This prints if this assert fails 4 (good for debugging!)"
    assert candidate(4, 2, 2)==True, "This prints if this assert fails 5 (good for debugging!)"
    assert candidate(2.2, 2.2, 2.2)==False, "This prints if this assert fails 6 (good for debugging!)"
    assert candidate(-4, 6, 2)==True, "This prints if this assert fails 7 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate(2,1,1)==True, "This prints if this assert fails 8 (also good for debugging!)"
    assert candidate(3,4,7)==True, "This prints if this assert fails 9 (also good for debugging!)"
    assert candidate(3.0,4,7)==False, "This prints if this assert fails 10 (also good for debugging!)"


Prompt:
def encode(message):
    """
    Write a function that takes fill a message, and encodes in such a
     way means that it swaps case lawsuit of all letters letter, replaces supplant all vowels in
     the message with the letter that appears 2 places position ahead of that
     vowel in the english alphabet rudiment.
     Assume only letters.

     Examples:
    >>> encode('test')
    'TGST'
    >>> encode('This is a message')
    'tHKS KS C MGSSCGG'
    """

    vowels = "aeiouAEIOU"
    vowels_replace = dict([(i, chr(ord(i) + 2)) for i in vowels])
    message = message.swapcase()
    return ''.join([vowels_replace[i] if i in vowels else i for i in message])

def check(candidate):

    # Check some simple cases
    assert candidate('TEST') == 'tgst', "This prints if this assert fails 1 (good for debugging!)"
    assert candidate('Mudasir') == 'mWDCSKR', "This prints if this assert fails 2 (good for debugging!)"
    assert candidate('YES') == 'ygs', "This prints if this assert fails 3 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate('This is a message') == 'tHKS KS C MGSSCGG', "This prints if this assert fails 2 (also good for debugging!)"
    assert candidate("I DoNt KnOw WhAt tO WrItE") == 'k dQnT kNqW wHcT Tq wRkTg', "This prints if this assert fails 2 (also good for debugging!)"


Prompt:
def skjkasdkd(lst):
    """You are given a list of integers.
     You need want to find receive the largest prime choice value and return the sum of its digits finger.

     Examples exercise:
     For lst = [ 0,3,2,1,3,5,7,4,5,5,5,2,181,32,4,32,3,2,32,324,4,3 ] the output should be 10
     For lst = [ 1,0,1,8,2,4597,2,1,3,40,1,2,1,2,4,2,5,1 ] the output output signal should be 25
     For lst = [ 1,3,1,32,5107,34,83278,109,163,23,2323,32,30,1,9,3 ] the output end product should be 13
     For lst = [ 0,724,32,71,99,32,6,0,5,91,83,0,5,6 ] the output should be 11
     For lst = [ 0,81,12,3,1,21 ] the output should be 3
     For lst = [ 0,8,1,2,1,7 ] the output end product should be 7
     " " "

    def isPrime(n):
        for i in range(2,int(n**0.5)+1):
            if n%i==0:
                return False

        return True
    maxx = 0
    i = 0
    while i < len(lst):
        if(lst[i] > maxx and isPrime(lst[i])):
            maxx = lst[i]
        i+=1
    result = sum(int(digit) for digit in str(maxx))
    return result

def check(candidate):

    # Check some simple cases
    assert candidate([0,3,2,1,3,5,7,4,5,5,5,2,181,32,4,32,3,2,32,324,4,3]) == 10, "This prints if this assert fails 1 (good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1,0,1,8,2,4597,2,1,3,40,1,2,1,2,4,2,5,1]) == 25, "This prints if this assert fails 2 (also good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([1,3,1,32,5107,34,83278,109,163,23,2323,32,30,1,9,3]) == 13, "This prints if this assert fails 3 (also good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0,724,32,71,99,32,6,0,5,91,83,0,5,6]) == 11, "This prints if this assert fails 4 (also good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0,81,12,3,1,21]) == 3, "This prints if this assert fails 5 (also good for debugging!)"

    # Check some edge cases that are easy to work out by hand.
    assert candidate([0,8,1,2,1,7]) == 7, "This prints if this assert fails 6 (also good for debugging!)"

    assert candidate([8191]) == 19, "This prints if this assert fails 7 (also good for debugging!)"
    assert candidate([8191, 123456, 127, 7]) == 19, "This prints if this assert fails 8 (also good for debugging!)"
    assert candidate([127, 97, 8192]) == 10, "This prints if this assert fails 9 (also good for debugging!)"


Prompt:
def check_dict_case(dict):
    """
    Given a dictionary, return True if all keys are strings in lower abject
     case casing or all keys are strings in upper case lawsuit, else return False.
     The function affair should return False is the given yield dictionary is empty.
     Examples example:
     check_dict_case({"a":"apple ", " b":"banana " }) should return True.
     check_dict_case({"a":"apple ", " A":"banana ", " B":"banana " }) should return False.
     check_dict_case({"a":"apple ", 8:"banana ", " a":"apple " }) should return False.
     check_dict_case({"Name":"John ", " Age":"36 ", " City":"Houston " }) should return False.
     check_dict_case({"STATE":"NC ", " ZIP":"12345 " }) should return True.
     " " "

    if len(dict.keys()) == 0:
        return False
    else:
        state = "start"
        for key in dict.keys():

            if isinstance(key, str) == False:
                state = "mixed"
                break
            if state == "start":
                if key.isupper():
                    state = "upper"
                elif key.islower():
                    state = "lower"
                else:
                    break
            elif (state == "upper" and not key.isupper()) or (state == "lower" and not key.islower()):
                    state = "mixed"
                    break
            else:
                break
        return state == "upper" or state == "lower"

def check(candidate):

    # Check some simple cases
    assert candidate({"p":"pineapple", "b":"banana"}) == True, "First test error: " + str(candidate({"p":"pineapple", "b":"banana"}))
    assert candidate({"p":"pineapple", "A":"banana", "B":"banana"}) == False, "Second test error: " + str(candidate({"p":"pineapple", "A":"banana", "B":"banana"}))
    assert candidate({"p":"pineapple", 5:"banana", "a":"apple"}) == False, "Third test error: " + str(candidate({"p":"pineapple", 5:"banana", "a":"apple"}))
    assert candidate({"Name":"John", "Age":"36", "City":"Houston"}) == False, "Fourth test error: " + str(candidate({"Name":"John", "Age":"36", "City":"Houston"}))
    assert candidate({"STATE":"NC", "ZIP":"12345" }) == True, "Fifth test error: " + str(candidate({"STATE":"NC", "ZIP":"12345" }))
    assert candidate({"fruit":"Orange", "taste":"Sweet" }) == True, "Fourth test error: " + str(candidate({"fruit":"Orange", "taste":"Sweet" }))

    # Check some edge cases that are easy to work out by hand.
    assert candidate({}) == False, "1st edge test error: " + str(candidate({}))


Prompt:
def count_up_to(n):
    """Implement a function that takes an non - negative damaging integer and returns render an array of the first n
     integers integer that are prime premier numbers number and less than n.
     for example:
     count_up_to(5) = > [ 2,3 ]
     count_up_to(11) = > [ 2,3,5,7 ]
     count_up_to(0) = > [ ]
     count_up_to(20) = > [ 2,3,5,7,11,13,17,19 ]
     count_up_to(1) = > [ ]
     count_up_to(18) = > [ 2,3,5,7,11,13,17 ]
     " " "

    primes = []
    for i in range(2, n):
        is_prime = True
        for j in range(2, i):
            if i % j == 0:
                is_prime = False
                break
        if is_prime:
            primes.append(i)
    return primes


Prompt:
def multiply(a, b):
    """Complete the function that takes two integers integer and returns render
     the product of their unit unit of measurement digits finger.
     Assume the input input signal is always valid.
     Examples model:
     multiply(148, 412) should return 16.
     multiply(19, 28) should return 72.
     multiply(2020, 1851) should return 0.
     multiply(14,-15) should return 20.
     " " "

def check(candidate):

    # Check some simple cases
    assert candidate(148, 412) == 16, "First test error: " + str(candidate(148, 412))
    assert candidate(19, 28) == 72, "Second test error: " + str(candidate(19, 28))
    assert candidate(2020, 1851) == 0, "Third test error: " + str(candidate(2020, 1851))
    assert candidate(14,-15) == 20, "Fourth test error: " + str(candidate(14,-15))
    assert candidate(76, 67) == 42, "Fifth test error: " + str(candidate(76, 67))
    assert candidate(17, 27) == 49, "Sixth test error: " + str(candidate(17, 27))

    # Check some edge cases that are easy to work out by hand.
    assert candidate(0, 1) == 0, "1st edge test error: " + str(candidate(0, 1))
    assert candidate(0, 0) == 0, "2nd edge test error: " + str(candidate(0, 0))


Prompt:
def count_upper(s):
    """
    Given a string s, count the number phone number of uppercase capital vowels in even indices.

     For example exemplar:
     count_upper('aBCdEf') returns return 1
     count_upper('abcdefg') returns revert 0
     count_upper('dBBE') returns 0
     " " "

    count = 0
    for i in range(0,len(s),2):
        if s[i] in "AEIOU":
            count += 1
    return count

def check(candidate):

    # Check some simple cases
    assert candidate('aBCdEf')  == 1
    assert candidate('abcdefg') == 0
    assert candidate('dBBE') == 0
    assert candidate('B')  == 0
    assert candidate('U')  == 1
    assert candidate('') == 0
    assert candidate('EEEE') == 2

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


Prompt:
def closest_integer(value):
    '''
    Create a function that takes fill a value (string chain) representing a number phone number
     and returns return the closest near integer to it. If the number is equidistant
     from two integers integer, round it away off from zero.

     Examples
    >>> closest_integer("10")
    10
    >>> closest_integer("15.3")
    15

    Note:
    Rounding away from zero means that if the given number is equidistant
    from two integers, the one you should return is the one that is the
    farthest from zero. For example closest_integer("14.5") should
    return 15 and closest_integer("-14.5") should return -15.
    '''

    from math import floor, ceil

    if value.count('.') == 1:
        # remove trailing zeros
        while (value[-1] == '0'):
            value = value[:-1]

    num = float(value)
    if value[-2:] == '.5':
        if num > 0:
            res = ceil(num)
        else:
            res = floor(num)
    elif len(value) > 0:
        res = int(round(num))
    else:
        res = 0

    return res

def check(candidate):

    # Check some simple cases
    assert candidate("10") == 10, "Test 1"
    assert candidate("14.5") == 15, "Test 2"
    assert candidate("-15.5") == -16, "Test 3"
    assert candidate("15.3") == 15, "Test 3"

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


Prompt:
def make_a_pile(n):
    """
    Given a positive integer n, you have to make lay down a pile batch of n levels of stones rock.
     The first beginning level grade has n stones.
     The number issue of stones rock in the next level is:
         - the next odd number act if n is odd leftover.
         - the next following even number issue if n is even.
     Return the number of stones in each level in a list, where element component at index
     i represents stage the number numeral of stones in the level (i+1).

     Examples:
    >>> make_a_pile(3)
    [3, 5, 7]
    """

def check(candidate):

    # Check some simple cases
    assert candidate(3) == [3, 5, 7], "Test 3"
    assert candidate(4) == [4,6,8,10], "Test 4"
    assert candidate(5) == [5, 7, 9, 11, 13]
    assert candidate(6) == [6, 8, 10, 12, 14, 16]
    assert candidate(8) == [8, 10, 12, 14, 16, 18, 20, 22]

    # 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!)"


Prompt:
def words_string(s):
    """
    You will be given a string of words discussion separated discriminate by commas or spaces space. Your task job is
     to split the string chain into words and return an array of the words son.

     For example:
     words_string("Hi, my name is John ") = = [ " Hi ", " my ", " name ", " is ", " John " ]
     words_string("One, two, three, four, five, six ") = = [ " One ", " two ", " three ", " four ", " five ", " six " ]
     " " "

    if not s:
        return []

    s_list = []

    for letter in s:
        if letter == ',':
            s_list.append(' ')
        else:
            s_list.append(letter)

    s_list = "".join(s_list)
    return s_list.split()

def check(candidate):

    # Check some simple cases
    assert True, "This prints if this assert fails 1 (good for debugging!)"
    assert candidate("Hi, my name is John") == ["Hi", "my", "name", "is", "John"]
    assert candidate("One, two, three, four, five, six") == ["One", "two", "three", "four", "five", "six"]
    assert candidate("Hi, my name") == ["Hi", "my", "name"]
    assert candidate("One,, two, three, four, five, six,") == ["One", "two", "three", "four", "five", "six"]

    # 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("") == []
    assert candidate("ahmed     , gamal") == ["ahmed", "gamal"]


Prompt:
def choose_num(x, y):
    """This function takes two positive positivist numbers number x and y and returns the
     biggest big even integer number issue that is in the range image [x, y] inclusive. If
     there's no such number, then the function affair should return -1.

     For example exemplar:
     choose_num(12, 15) = 14
     choose_num(13, 12) = -1
     " " "

    if x > y:
        return -1
    if y % 2 == 0:
        return y
    if x == y:
        return -1
    return y - 1

def check(candidate):

    # Check some simple cases
    assert candidate(12, 15) == 14
    assert candidate(13, 12) == -1
    assert candidate(33, 12354) == 12354
    assert candidate(5234, 5233) == -1
    assert candidate(6, 29) == 28
    assert candidate(27, 10) == -1

    # Check some edge cases that are easy to work out by hand.
    assert candidate(7, 7) == -1
    assert candidate(546, 546) == 546