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humaneval_0
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.3) == True assert candidate([1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.05) == False assert candidate([1.0, 2.0, 5.9, 4.0, 5.0], 0.95) == True assert candidate([1.0, 2.0, 5.9, 4.0,...
has_close_elements
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
Check if in given list of numbers, are any two numbers closer to each other than given 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
from typing import List def has_close_elements(numbers: List[float], threshold: float) -> bool:
humaneval_1
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [ '(()())', '((()))', '()', '((())()())' ] assert candidate('() (()) ((())) (((())))') == [ '()', '(())', '((()))', '(((())))' ] assert candidate('(()...
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: ...
Input to this function is a string containing multiple groups of nested parentheses. Your goal is to separate those group into separate strings and return the list of those. Separate groups are balanced (each open brace is properly closed) and not nested within each other Ignore any spaces in the input stri...
from typing import List def separate_paren_groups(paren_string: str) -> List[str]:
humaneval_2
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
truncate_number
return number % 1.0
Given a positive floating point number, it can be decomposed into and integer part (largest integer smaller than given number) and decimals (leftover part always smaller than 1). Return the decimal part of the number. >>> truncate_number(3.5) 0.5
def truncate_number(number: float) -> float:
humaneval_3
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...
below_zero
balance = 0 for op in operations: balance += op if balance < 0: return True return False
You're given a list of deposit and withdrawal operations on a bank account that starts with zero balance. Your task is to detect if at any point the balance of account fallls below zero, and at that point function should return True. Otherwise it should return False. >>> below_zero([1, 2, 3]) False ...
from typing import List def below_zero(operations: List[int]) -> bool:
humaneval_4
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert abs(candidate([1.0, 2.0, 3.0]) - 2.0/3.0) < 1e-6 assert abs(candidate([1.0, 2.0, 3.0, 4.0]) - 1.0) < 1e-6 assert abs(candidate([1.0, 2.0, 3.0, 4.0, 5.0]) - 6.0/5.0) < 1e-6
mean_absolute_deviation
mean = sum(numbers) / len(numbers) return sum(abs(x - mean) for x in numbers) / len(numbers)
For a given list of input numbers, calculate Mean Absolute Deviation around the mean of this dataset. Mean Absolute Deviation is the average absolute difference between each element and a centerpoint (mean in this case): MAD = average | x - x_mean | >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0]) ...
from typing import List def mean_absolute_deviation(numbers: List[float]) -> float:
humaneval_5
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]
intersperse
if not numbers: return [] result = [] for n in numbers[:-1]: result.append(n) result.append(delimeter) result.append(numbers[-1]) return result
Insert a number 'delimeter' between every two consecutive elements of input list `numbers' >>> intersperse([], 4) [] >>> intersperse([1, 2, 3], 4) [1, 4, 2, 4, 3]
from typing import List def intersperse(numbers: List[int], delimeter: int) -> List[int]:
humaneval_6
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('(()()) ((())) () ((())()())') == [2, 3, 1, 3] assert candidate('() (()) ((())) (((())))') == [1, 2, 3, 4] assert candidate('(()(())((())))') == [4]
parse_nested_parens
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.s...
Input to this function is a string represented multiple groups for nested parentheses separated by spaces. For each of the group, output the deepest level of nesting of parentheses. E.g. (()()) has maximum two levels of nesting while ((())) has three. >>> parse_nested_parens('(()()) ((())) () ((())()())') ...
from typing import List def parse_nested_parens(paren_string: str) -> List[int]:
humaneval_7
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...
filter_by_substring
return [x for x in strings if substring in x]
Filter an input list of strings only for ones that contain given substring >>> filter_by_substring([], 'a') [] >>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a') ['abc', 'bacd', 'array']
from typing import List def filter_by_substring(strings: List[str], substring: str) -> List[str]:
humaneval_8
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)
sum_product
sum_value = 0 prod_value = 1 for n in numbers: sum_value += n prod_value *= n return sum_value, prod_value
For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list. Empty sum should be equal to 0 and empty product should be equal to 1. >>> sum_product([]) (0, 1) >>> sum_product([1, 2, 3, 4]) (10, 24)
from typing import List, Tuple def sum_product(numbers: List[int]) -> Tuple[int, int]:
humaneval_9
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]
rolling_max
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
From a given list of integers, generate a list of rolling maximum element found until given moment in the sequence. >>> rolling_max([1, 2, 3, 2, 3, 4, 2]) [1, 2, 3, 3, 3, 4, 4]
from typing import List, Tuple def rolling_max(numbers: List[int]) -> List[int]:
humaneval_10
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'
make_palindrome
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]
Test if given string is a palindrome
def is_palindrome(string: str) -> bool: return string == string[::-1] def make_palindrome(string: str) -> str:
humaneval_11
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('111000', '101010') == '010010' assert candidate('1', '1') == '0' assert candidate('0101', '0000') == '0101'
string_xor
def xor(i, j): if i == j: return '0' else: return '1' return ''.join(xor(x, y) for x, y in zip(a, b))
Input are two strings a and b consisting only of 1s and 0s. Perform binary XOR on these inputs and return result also as a string. >>> string_xor('010', '110') '100'
from typing import List def string_xor(a: str, b: str) -> str:
humaneval_12
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'
longest
if not strings: return None maxlen = max(len(x) for x in strings) for s in strings: if len(s) == maxlen: return s
Out of list of strings, return the longest one. Return the first one in case of multiple strings of the same length. Return None in case the input list is empty. >>> longest([]) >>> longest(['a', 'b', 'c']) 'a' >>> longest(['a', 'bb', 'ccc']) 'ccc'
from typing import List, Optional def longest(strings: List[str]) -> Optional[str]:
humaneval_13
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
greatest_common_divisor
while b: a, b = b, a % b return a
Return a greatest common divisor of two integers a and b >>> greatest_common_divisor(3, 5) 1 >>> greatest_common_divisor(25, 15) 5
def greatest_common_divisor(a: int, b: int) -> int:
humaneval_14
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']
all_prefixes
result = [] for i in range(len(string)): result.append(string[:i+1]) return result
Return list of all prefixes from shortest to longest of the input string >>> all_prefixes('abc') ['a', 'ab', 'abc']
from typing import List def all_prefixes(string: str) -> List[str]:
humaneval_15
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'
string_sequence
return ' '.join([str(x) for x in range(n + 1)])
Return a string containing space-delimited numbers starting from 0 upto n inclusive. >>> string_sequence(0) '0' >>> string_sequence(5) '0 1 2 3 4 5'
def string_sequence(n: int) -> str:
humaneval_16
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
count_distinct_characters
return len(set(string.lower()))
Given a string, find out how many distinct characters (regardless of case) does it consist of >>> count_distinct_characters('xyzXYZ') 3 >>> count_distinct_characters('Jerry') 4
def count_distinct_characters(string: str) -> int:
humaneval_17
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| .| ...
parse_music
note_map = {'o': 4, 'o|': 2, '.|': 1} return [note_map[x] for x in music_string.split(' ') if x]
Input to this function is a string representing musical notes in a special ASCII format. Your task is to parse this string and return list of integers corresponding to how many beats does each not last. Here is a legend: 'o' - whole note, lasts four beats 'o|' - half note, lasts two beats '.|' ...
from typing import List def parse_music(music_string: str) -> List[int]:
humaneval_18
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
how_many_times
times = 0 for i in range(len(string) - len(substring) + 1): if string[i:i+len(substring)] == substring: times += 1 return times
Find how many times a given substring can be found in the original string. Count overlaping cases. >>> how_many_times('', 'a') 0 >>> how_many_times('aaa', 'a') 3 >>> how_many_times('aaaa', 'aa') 3
def how_many_times(string: str, substring: str) -> int:
humaneval_19
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 ...
sort_numbers
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]))
Input is a space-delimited string of numberals from 'zero' to 'nine'. Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'. Return the string with numbers sorted from smallest to largest >>> sort_numbers('three one five') 'one three five'
from typing import List def sort_numbers(numbers: str) -> str:
humaneval_20
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([1.0, 2.0, 3.9, 4.0, 5.0, 2.2]) == (3.9, 4.0) assert candidate([1.0, 2.0, 5.9, 4.0, 5.0]) == (5.0, 5.9) assert candidate([1.0, 2.0, 3.0, 4.0, 5.0, 2.2]) == (2.0, 2.2) assert candidate([1.0, 2.0, 3.0, 4.0,...
find_closest_elements
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])) ...
From a supplied list of numbers (of length at least two) select and return two that are the closest to each other and return them in order (smaller number, larger 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]) (...
from typing import List, Tuple def find_closest_elements(numbers: List[float]) -> Tuple[float, float]:
humaneval_21
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([2.0, 49.9]) == [0.0, 1.0] assert candidate([100.0, 49.9]) == [1.0, 0.0] assert candidate([1.0, 2.0, 3.0, 4.0, 5.0]) == [0.0, 0.25, 0.5, 0.75, 1.0] assert candidate([2.0, 1.0, 5.0, 3.0, 4.0]) == [0.25, 0....
rescale_to_unit
min_number = min(numbers) max_number = max(numbers) return [(x - min_number) / (max_number - min_number) for x in numbers]
Given list of numbers (of at least two elements), apply a linear transform to that list, such that the smallest number will become 0 and the largest 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]
from typing import List def rescale_to_unit(numbers: List[float]) -> List[float]:
humaneval_22
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]
filter_integers
return [x for x in values if isinstance(x, 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]
from typing import List, Any def filter_integers(values: List[Any]) -> List[int]:
humaneval_23
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate('') == 0 assert candidate('x') == 1 assert candidate('asdasnakj') == 9
strlen
return len(string)
Return length of given string >>> strlen('') 0 >>> strlen('abc') 3
def strlen(string: str) -> int:
humaneval_24
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
largest_divisor
for i in reversed(range(n)): if n % i == 0: return i
For a given number n, find the largest number that divides n evenly, smaller than n >>> largest_divisor(15) 5
def largest_divisor(n: int) -> int:
humaneval_25
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 * ...
factorize
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
Return list of prime factors of given integer in the order from smallest to largest. Each of the factors should be listed number of times corresponding to how many times it appeares in factorization. Input number should be equal to the product of all factors >>> factorize(8) [2, 2, 2] >>> factorize(...
from typing import List def factorize(n: int) -> List[int]:
humaneval_26
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]
remove_duplicates
import collections c = collections.Counter(numbers) return [n for n in numbers if c[n] <= 1]
From a list of integers, remove all elements that occur more than once. Keep order of elements left the same as in the input. >>> remove_duplicates([1, 2, 3, 2, 4]) [1, 3, 4]
from typing import List def remove_duplicates(numbers: List[int]) -> List[int]:
humaneval_27
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'
flip_case
return string.swapcase()
For a given string, flip lowercase characters to uppercase and uppercase to lowercase. >>> flip_case('Hello') 'hELLO'
def flip_case(string: str) -> str:
humaneval_28
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([]) == '' assert candidate(['x', 'y', 'z']) == 'xyz' assert candidate(['x', 'y', 'z', 'w', 'k']) == 'xyzwk'
concatenate
return ''.join(strings)
Concatenate list of strings into a single string >>> concatenate([]) '' >>> concatenate(['a', 'b', 'c']) 'abc'
from typing import List def concatenate(strings: List[str]) -> str:
humaneval_29
METADATA = { 'author': 'jt', 'dataset': 'test' } def check(candidate): assert candidate([], 'john') == [] assert candidate(['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx') == ['xxx', 'xxxAAA', 'xxx']
filter_by_prefix
return [x for x in strings if x.startswith(prefix)]
Filter an input list of strings only for ones that start with a given prefix. >>> filter_by_prefix([], 'a') [] >>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a') ['abc', 'array']
from typing import List def filter_by_prefix(strings: List[str], prefix: str) -> List[str]:
humaneval_30
METADATA = {} def check(candidate): assert candidate([-1, -2, 4, 5, 6]) == [4, 5, 6] assert candidate([5, 3, -5, 2, 3, 3, 9, 0, 123, 1, -10]) == [5, 3, 2, 3, 3, 9, 123, 1] assert candidate([-1, -2]) == [] assert candidate([]) == []
get_positive
return [e for e in l if e > 0]
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]
def get_positive(l: list):
humaneval_31
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 ca...
is_prime
if n < 2: return False for k in range(2, n - 1): if n % k == 0: return False return True
Return true if a given number is prime, and false otherwise. >>> 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
def is_prime(n):
humaneval_32
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: co...
find_zero
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
Evaluates polynomial with coefficients xs at point x. return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
import math def poly(xs: list, x: float): return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)]) def find_zero(xs: list):
humaneval_33
METADATA = {} def check(candidate): assert tuple(candidate([1, 2, 3])) == tuple(sort_third([1, 2, 3])) assert tuple(candidate([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])) == tuple(sort_third([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])) assert tuple(candidate([5, 8, -12, 4, 23, 2, 3, 11, 12, -10])) == tuple(so...
sort_third
l = list(l) l[::3] = sorted(l[::3]) return l
This function takes a list l and returns a list l' such that l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal to the values of the corresponding indicies of l, but sorted. >>> sort_third([1, 2, 3]) [1, 2, 3] ...
def sort_third(l: list):
humaneval_34
METADATA = {} def check(candidate): assert candidate([5, 3, 5, 2, 3, 3, 9, 0, 123]) == [0, 2, 3, 5, 9, 123]
unique
return sorted(list(set(l)))
Return sorted unique elements in a list >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123]) [0, 2, 3, 5, 9, 123]
def unique(l: list):
humaneval_35
METADATA = {} def check(candidate): assert candidate([1, 2, 3]) == 3 assert candidate([5, 3, -5, 2, -3, 3, 9, 0, 124, 1, -10]) == 124
max_element
m = l[0] for e in l: if e > m: m = e return m
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
def max_element(l: list):
humaneval_36
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
fizz_buzz
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
Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13. >>> fizz_buzz(50) 0 >>> fizz_buzz(78) 2 >>> fizz_buzz(79) 3
def fizz_buzz(n: int):
humaneval_37
METADATA = {} def check(candidate): assert tuple(candidate([1, 2, 3])) == tuple([1, 2, 3]) assert tuple(candidate([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])) == tuple([-10, 3, -5, 2, -3, 3, 5, 0, 9, 1, 123]) assert tuple(candidate([5, 8, -12, 4, 23, 2, 3, 11, 12, -10])) == tuple([-12, 8, 3, 4, 5, 2, 12, 1...
sort_even
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
This function takes a list l and returns a list l' such that l' is identical to l in the odd indicies, while its values at the even indicies are equal to the values of the even indicies of l, but sorted. >>> sort_even([1, 2, 3]) [1, 2, 3] >>> sort_even([5, 6, 3, 4]) [3, 6, 5, 4]
def sort_even(l: list):
humaneval_38
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
decode_cyclic
return encode_cyclic(encode_cyclic(s))
returns encoded string by cycling groups of three characters.
def encode_cyclic(s: str): # 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...
humaneval_39
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 ...
prime_fib
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]): ...
prime_fib returns n-th number that is a Fibonacci number and it's also prime. >>> prime_fib(1) 2 >>> prime_fib(2) 3 >>> prime_fib(3) 5 >>> prime_fib(4) 13 >>> prime_fib(5) 89
def prime_fib(n: int):
humaneval_40
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 asser...
triples_sum_to_zero
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
triples_sum_to_zero takes a list of integers as an input. it returns True if there are three distinct elements in the list that sum to zero, and False otherwise. >>> 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]) ...
def triples_sum_to_zero(l: list):
humaneval_41
METADATA = {} def check(candidate): assert candidate(2) == 4 assert candidate(3) == 9 assert candidate(4) == 16 assert candidate(8) == 64 assert candidate(10) == 100
car_race_collision
return n**2
Imagine a road that's a perfectly straight infinitely long line. n cars are driving left to right; simultaneously, a different set of n cars are driving right to left. The two sets of cars start out being very far from each other. All cars move in the same speed. Two cars are said to collide when a...
def car_race_collision(n: int):
humaneval_42
METADATA = {} def check(candidate): assert candidate([]) == [] assert candidate([3, 2, 1]) == [4, 3, 2] assert candidate([5, 2, 5, 2, 3, 3, 9, 0, 123]) == [6, 3, 6, 3, 4, 4, 10, 1, 124]
incr_list
return [(e + 1) for e in l]
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]
def incr_list(l: list):
humaneval_43
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 asser...
pairs_sum_to_zero
for i, l1 in enumerate(l): for j in range(i + 1, len(l)): if l1 + l[j] == 0: return True return False
pairs_sum_to_zero takes a list of integers as an input. it returns True if there are two distinct elements in the list that sum to zero, and False otherwise. >>> 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 ...
def pairs_sum_to_zero(l):
humaneval_44
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, ...
change_base
ret = "" while x > 0: ret = str(x % base) + ret x //= base return ret
Change numerical base of input number x to base. return string representation after the conversion. base numbers are less than 10. >>> change_base(8, 3) '22' >>> change_base(8, 2) '1000' >>> change_base(7, 2) '111'
def change_base(x: int, base: int):
humaneval_45
METADATA = {} def check(candidate): assert candidate(5, 3) == 7.5 assert candidate(2, 2) == 2.0 assert candidate(10, 8) == 40.0
triangle_area
return a * h / 2.0
Given length of a side and high return area for a triangle. >>> triangle_area(5, 3) 7.5
def triangle_area(a, h):
humaneval_46
METADATA = {} def check(candidate): assert candidate(5) == 4 assert candidate(8) == 28 assert candidate(10) == 104 assert candidate(12) == 386
fib4
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]
The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows: 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 to efficiently compute the n-th element of the fib4 number se...
def fib4(n: int):
humaneval_47
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
median
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
Return median of elements in the list l. >>> median([3, 1, 2, 4, 5]) 3 >>> median([-10, 4, 6, 1000, 10, 20]) 15.0
def median(l: list):
humaneval_48
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
is_palindrome
for i in range(len(text)): if text[i] != text[len(text) - 1 - i]: return False return True
Checks if given string is a palindrome >>> is_palindrome('') True >>> is_palindrome('aba') True >>> is_palindrome('aaaaa') True >>> is_palindrome('zbcd') False
def is_palindrome(text: str):
humaneval_49
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
modp
ret = 1 for i in range(n): ret = (2 * ret) % p return ret
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
def modp(n: int, p: int):
humaneval_50
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.dee...
decode_shift
return "".join([chr(((ord(ch) - 5 - ord("a")) % 26) + ord("a")) for ch in s])
returns encoded string by shifting every character by 5 in the alphabet.
def encode_shift(s: str): return "".join([chr(((ord(ch) + 5 - ord("a")) % 26) + ord("a")) for ch in s]) def decode_shift(s: str):
humaneval_51
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'...
remove_vowels
return "".join([s for s in text if s.lower() not in ["a", "e", "i", "o", "u"]])
remove_vowels is a function that takes string and returns string without vowels. >>> remove_vowels('') '' >>> remove_vowels("abcdef\nghijklm") 'bcdf\nghjklm' >>> remove_vowels('abcdef') 'bcdf' >>> remove_vowels('aaaaa') '' >>> remove_vowels('aaBAA') 'B' >>> remove_vowels('zbc...
def remove_vowels(text):
humaneval_52
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)
below_threshold
for e in l: if e >= t: return False return True
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
def below_threshold(l: list, t: int):
humaneval_53
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) a...
add
return x + y
Add two numbers x and y >>> add(2, 3) 5 >>> add(5, 7) 12
def add(x: int, y: int):
humaneval_54
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 asse...
same_chars
return set(s0) == set(s1)
Check if two words have the same characters. >>> 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 >>> ...
def same_chars(s0: str, s1: str):
humaneval_55
METADATA = {} def check(candidate): assert candidate(10) == 55 assert candidate(1) == 1 assert candidate(8) == 21 assert candidate(11) == 89 assert candidate(12) == 144
fib
if n == 0: return 0 if n == 1: return 1 return fib(n - 1) + fib(n - 2)
Return n-th Fibonacci number. >>> fib(10) 55 >>> fib(1) 1 >>> fib(8) 21
def fib(n: int):
humaneval_56
METADATA = {} def check(candidate): assert candidate("<>") assert candidate("<<><>>") assert candidate("<><><<><>><>") assert candidate("<><><<<><><>><>><<><><<>>>") assert not candidate("<<<><>>>>") assert not candidate("><<>") assert not candidate("<") assert not candidate("<<<<") ...
correct_bracketing
depth = 0 for b in brackets: if b == "<": depth += 1 else: depth -= 1 if depth < 0: return False return depth == 0
brackets is a string of "<" and ">". return True if every opening bracket has a corresponding closing bracket. >>> correct_bracketing("<") False >>> correct_bracketing("<>") True >>> correct_bracketing("<<><>>") True >>> correct_bracketing("><<>") False
def correct_bracketing(brackets: str):
humaneval_57
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 ass...
monotonic
if l == sorted(l) or l == sorted(l, reverse=True): return True return False
Return True is list elements are monotonically increasing or decreasing. >>> monotonic([1, 2, 4, 20]) True >>> monotonic([1, 20, 4, 10]) False >>> monotonic([4, 1, 0, -10]) True
def monotonic(l: list):
humaneval_58
METADATA = {} def check(candidate): assert candidate([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121]) == [1, 5, 653] assert candidate([5, 3, 2, 8], [3, 2]) == [2, 3] assert candidate([4, 3, 2, 8], [3, 2, 4]) == [2, 3, 4] assert candidate([4, 3, 2, 8], []) == []
common
ret = set() for e1 in l1: for e2 in l2: if e1 == e2: ret.add(e1) return sorted(list(ret))
Return sorted unique common elements for two lists. >>> 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]
def common(l1: list, l2: list):
humaneval_59
METADATA = {} def check(candidate): assert candidate(15) == 5 assert candidate(27) == 3 assert candidate(63) == 7 assert candidate(330) == 11 assert candidate(13195) == 29
largest_prime_factor
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
Return the largest prime factor of n. Assume n > 1 and is not a prime. >>> largest_prime_factor(13195) 29 >>> largest_prime_factor(2048) 2
def largest_prime_factor(n: int):
humaneval_60
METADATA = {} def check(candidate): assert candidate(1) == 1 assert candidate(6) == 21 assert candidate(11) == 66 assert candidate(30) == 465 assert candidate(100) == 5050
sum_to_n
return sum(range(n + 1))
sum_to_n is a function that sums numbers 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
def sum_to_n(n: int):
humaneval_61
METADATA = {} def check(candidate): assert candidate("()") assert candidate("(()())") assert candidate("()()(()())()") assert candidate("()()((()()())())(()()(()))") assert not candidate("((()())))") assert not candidate(")(()") assert not candidate("(") assert not candidate("((((") ...
correct_bracketing
depth = 0 for b in brackets: if b == "(": depth += 1 else: depth -= 1 if depth < 0: return False return depth == 0
brackets is a string of "(" and ")". return True if every opening bracket has a corresponding closing bracket. >>> correct_bracketing("(") False >>> correct_bracketing("()") True >>> correct_bracketing("(()())") True >>> correct_bracketing(")(()") False
def correct_bracketing(brackets: str):
humaneval_62
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]) == []
derivative
return [(i * x) for i, x in enumerate(xs)][1:]
xs represent coefficients of a polynomial. xs[0] + xs[1] * x + xs[2] * x^2 + .... Return derivative of this polynomial in the same form. >>> derivative([3, 1, 2, 4, 5]) [1, 4, 12, 20] >>> derivative([1, 2, 3]) [2, 6]
def derivative(xs: list):
humaneval_63
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
fibfib
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)
The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows: fibfib(0) == 0 fibfib(1) == 0 fibfib(2) == 1 fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3). Please write a function to efficiently compute the n-th element of the fibfib number sequence. ...
def fibfib(n: int):
humaneval_64
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" a...
vowels_count
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
Add more test cases.
FIX = def vowels_count(s):
humaneval_65
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 han...
circular_shift
s = str(x) if shift > len(s): return s[::-1] else: return s[len(s) - shift:] + s[:len(s) - shift]
Circular shift the digits of the integer x, shift the digits right by shift and return the result as a string. If shift > number of digits, return digits reversed. >>> circular_shift(12, 1) "21" >>> circular_shift(12, 2) "12"
def circular_shift(x, shift):
humaneval_66
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 candi...
digitSum
if s == "": return 0 return sum(ord(char) if char.isupper() else 0 for char in s)
Task Write a function that takes a string as input and returns the sum of the upper characters only' ASCII codes. Examples: digitSum("") => 0 digitSum("abAB") => 131 digitSum("abcCd") => 67 digitSum("helloE") => 69 digitSum("woArBld") => 131 digitSum("aAaaaXa...
def digitSum(s):
humaneval_67
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",10...
fruit_distribution
lis = list() for i in s.split(' '): if i.isdigit(): lis.append(int(i)) return n - sum(lis)
In this task, you will be given a string that represents a number of apples and oranges that are distributed in a basket of fruit this basket contains apples, oranges, and mango fruits. Given the string that represents the total number of the oranges and apples and an integer that represent the total num...
def fruit_distribution(s,n):
humaneval_68
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], "...
pluck
if(len(arr) == 0): return [] evens = list(filter(lambda x: x%2 == 0, arr)) if(evens == []): return [] return [min(evens), arr.index(min(evens))]
"Given an array representing a branch of a tree that has non-negative integer nodes your task is to pluck one of the nodes and return it. The plucked node should be the node with the smallest even value. If multiple nodes with the same smallest even value are found return the node that has smallest index. ...
def pluck(arr):
humaneval_69
def check(candidate): # manually generated tests assert candidate([5, 5, 5, 5, 1]) == 1 assert candidate([4, 1, 4, 1, 4, 4]) == 4 assert candidate([3, 3]) == -1 assert candidate([8, 8, 8, 8, 8, 8, 8, 8]) == 8 assert candidate([2, 3, 3, 2, 2]) == 2 # automatically generated tests assert...
search
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
def search(lst): ''' You are given a non-empty list of positive integers. Return the greatest integer that is greater than zero, and has a frequency greater than or equal to the value of the integer itself. The frequency of an integer is the number of times it appears in the list. If no such a val...
humaneval_70
def check(candidate): # Check some simple cases assert candidate([1, 2, 3, 4]) == [1, 4, 2, 3] assert candidate([5, 6, 7, 8, 9]) == [5, 9, 6, 8, 7] assert candidate([1, 2, 3, 4, 5]) == [1, 5, 2, 4, 3] assert candidate([5, 6, 7, 8, 9, 1]) == [1, 9, 5, 8, 6, 7] assert candidate([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
def strange_sort_list(lst): ''' Given list of integers, return list in strange order. Strange sorting, is when you start with the minimum value, then maximum of the remaining integers, then minimum and so on. Examples: strange_sort_list([1, 2, 3, 4]) == [1, 4, 2, 3] strange_sort_list([5, 5,...
humaneval_71
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...
triangle_area
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 triangle_area(a, b, c): ''' Given the lengths of the three sides of a triangle. Return the area of the triangle rounded to 2 decimal points if the three sides form a valid triangle. Otherwise return -1 Three sides make a valid triangle when the sum of any two sides is greater than the thir...
humaneval_72
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...
will_it_fly
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 will_it_fly(q,w): ''' Write a function that returns True if the object q will fly, and False otherwise. The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w. Example: will_it_fly([1, 2], 5) ➞ False ...
humaneval_73
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...
smallest_change
ans = 0 for i in range(len(arr) // 2): if arr[i] != arr[len(arr) - i - 1]: ans += 1 return ans
Given an array arr of integers, find the minimum number of elements that need to be changed to make the array palindromic. A palindromic array is an array that is read the same backwards and forwards. In one change, you can change one element to any other element. For example: smallest_change([1,2,3,5,...
def smallest_change(arr):
humaneval_74
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...
total_match
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 total_match(lst1, lst2): ''' Write a function that accepts two lists of strings and returns the list that has total number of chars in the all strings of the list less than the other list. if the two lists have the same number of chars, return the first list. Examples total_match([], []) ...
humaneval_75
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 asser...
is_multiply_prime
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 i...
Write a function that returns true if the given number is the multiplication of 3 prime numbers and false otherwise. Knowing that (a) is less then 100. Example: is_multiply_prime(30) == True 30 = 2 * 3 * 5
def is_multiply_prime(a):
humaneval_76
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 (...
is_simple_power
if (n == 1): return (x == 1) power = 1 while (power < x): power = power * n return (power == x)
Your task is to write a function that returns true if a number x is a simple power of n and false in other cases. x is a simple power of n if n**int=x For example: is_simple_power(1, 4) => true is_simple_power(2, 2) => true is_simple_power(8, 2) => true is_simple_power(3, 2) => false is_...
def is_simple_power(x, n):
humaneval_77
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...
iscube
a = abs(a) return int(round(a ** (1. / 3))) ** 3 == a
def iscube(a): ''' Write a function that takes an integer a and returns True if this ingeger is a cube of some integer number. Note: you may assume the input is always valid. Examples: iscube(1) ==> True iscube(2) ==> False iscube(-1) ==> True iscube(64) ==> True iscube(0) ==> T...
humaneval_78
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")) ...
hex_key
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
You have been tasked to write a function that receives a hexadecimal number as a string and counts the number of hexadecimal digits that are primes (prime number, or a prime, is a natural number greater than 1 that is not a product of two smaller natural numbers). Hexadecimal digits are 0, 1, 2, 3, 4...
def hex_key(num):
humaneval_79
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 wor...
decimal_to_binary
return "db" + bin(decimal)[2:] + "db"
You will be given a number in decimal form and your task is to convert it to binary format. The function should return a string, with each character representing a binary number. Each character in the string will be '0' or '1'. There will be an extra couple of characters 'db' at the beginning and at the en...
def decimal_to_binary(decimal):
humaneval_80
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" ...
is_happy
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
You are given a string s. Your task is to check if the string is happy or not. A string is happy if its length is at least 3 and every 3 consecutive letters are distinct For example: is_happy(a) => False is_happy(aa) => False is_happy(abcd) => True is_happy(aabb) => False is_happy(adb) =...
def is_happy(s):
humaneval_81
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+'] ...
numerical_letter_grade
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: ...
It is the last week of the semester and the teacher has to give the grades to students. The teacher has been making her own algorithm for grading. The only problem is, she has lost the code she used for grading. She has given you a list of GPAs for some students and you have to write a function that ca...
def numerical_letter_grade(grades):
humaneval_82
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') == Tr...
prime_length
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
Write a function that takes a string and returns True if the string length is a prime number or False otherwise Examples prime_length('Hello') == True prime_length('abcdcba') == True prime_length('kittens') == True prime_length('orange') == False
def prime_length(string):
humaneval_83
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 ar...
starts_one_ends
if n == 1: return 1 return 18 * (10 ** (n - 2))
Given a positive integer n, return the count of the numbers of n-digit positive integers that start or end with 1.
def starts_one_ends(n):
humaneval_84
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 h...
solve
return bin(sum(int(i) for i in str(N)))[2:]
Given a positive integer N, return the total sum of its digits in binary. Example For N = 1000, the sum of digits will be 1 the output should be "1". For N = 150, the sum of digits will be 6 the output should be "110". For N = 147, the sum of digits will be 12 the output should be "1100...
def solve(N):
humaneval_85
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.
add
return sum([lst[i] for i in range(1, len(lst), 2) if lst[i]%2 == 0])
Given a non-empty list of integers lst. add the even elements that are at odd indices.. Examples: add([4, 2, 6, 7]) ==> 2
def add(lst):
humaneval_86
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 candidat...
anti_shuffle
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
Write a function that takes a string and returns an ordered version of it. Ordered version of string, is a string where all words (separated by space) are replaced by a new word where all the characters arranged in ascending order based on ascii value. Note: You should keep the order of words and blank ...
def anti_shuffle(s):
humaneval_87
def check(candidate): # Check some simple cases assert candidate([ [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)] assert candidate([ [1,2,3,4,5,6], [1,2,3,4,5,6], [1,2,3,4,5,6], [1,2,3,4,5,6], ...
get_row
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])
You are given a 2 dimensional data, as a nested lists, which is similar to matrix, however, unlike matrices, each row may contain a different number of columns. Given lst, and integer x, find integers x in the list, and return list of tuples, [(x1, y1), (x2, y2) ...] such that each tuple is a coordi...
def get_row(lst, x):
humaneval_88
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, ...
sort_array
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
Given an array of non-negative integers, return a copy of the given array after sorting, you will sort the given array in ascending order if the sum( first index value, last index value) is odd, or sort it in descending order if the sum( first index value, last index value) is even. Note: * don't chang...
def sort_array(array):
humaneval_89
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...
encrypt
d = 'abcdefghijklmnopqrstuvwxyz' out = '' for c in s: if c in d: out += d[(d.index(c)+2*2) % 26] else: out += c return out
Create a function encrypt that takes a string as an argument and returns a string encrypted with the alphabet being rotated. The alphabet should be rotated in a manner such that the letters shift down by two multiplied to two places. For example: encrypt('hi') returns 'lm' encrypt('asdfghjkl')...
def encrypt(s):
humaneval_90
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, 1...
next_smallest
lst = sorted(set(lst)) return None if len(lst) < 2 else lst[1]
You are given a list of integers. Write a function next_smallest() that returns the 2nd smallest element 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
def next_smallest(lst):
humaneval_91
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. wil...
is_bored
import re sentences = re.split(r'[.?!]\s*', S) return sum(sentence[0:2] == 'I ' for sentence in sentences)
You'll be given a string of words, and your task is to count the number of boredoms. A boredom is a sentence that starts with the word "I". Sentences are delimited by '.', '?' or '!'. For example: >>> is_bored("Hello world") 0 >>> is_bored("The sky is blue. The sun is shining. I love this we...
def is_bored(S):
humaneval_92
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 fa...
any_int
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 any_int(x, y, z): ''' Create a function that takes 3 numbers. Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers. Returns false in any other cases. Examples any_int(5, 2, 7) ➞ True any_int(3, 2, 2) ➞ False any_int(3, -2, 1...
humaneval_93
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 asse...
encode
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])
Write a function that takes a message, and encodes in such a way that it swaps case of all letters, replaces all vowels in the message with the letter that appears 2 places ahead of that vowel in the english alphabet. Assume only letters. Examples: >>> encode('test') 'TGST' >>>...
def encode(message):
humaneval_94
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]...
skjkasdkd
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)) ...
You are given a list of integers. You need to find the largest prime value and return the sum of its digits. Examples: 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 should be 25 For lst = [1,3,1,...
def skjkasdkd(lst):
humaneval_95
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",...
check_dict_case
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"...
Given a dictionary, return True if all keys are strings in lower case or all keys are strings in upper case, else return False. The function should return False is the given dictionary is empty. Examples: check_dict_case({"a":"apple", "b":"banana"}) should return True. check_dict_case({"a":"apple",...
def check_dict_case(dict):
humaneval_96
def check(candidate): assert candidate(5) == [2,3] assert candidate(6) == [2,3,5] assert candidate(7) == [2,3,5] assert candidate(10) == [2,3,5,7] assert candidate(0) == [] assert candidate(22) == [2,3,5,7,11,13,17,19] assert candidate(1) == [] assert candidate(18) == [2,3,5,7,11,13,17]...
count_up_to
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
Implement a function that takes an non-negative integer and returns an array of the first n integers that are prime numbers 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) => [] ...
def count_up_to(n):
humaneval_97
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(c...
multiply
return abs(a % 10) * abs(b % 10)
Complete the function that takes two integers and returns the product of their unit digits. Assume the input is always valid. Examples: 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 multiply(a, b):
humaneval_98
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 th...
count_upper
count = 0 for i in range(0,len(s),2): if s[i] in "AEIOU": count += 1 return count
Given a string s, count the number of uppercase vowels in even indices. For example: count_upper('aBCdEf') returns 1 count_upper('abcdefg') returns 0 count_upper('dBBE') returns 0
def count_upper(s):
humaneval_99
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...
closest_integer
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(valu...
def closest_integer(value): ''' Create a function that takes a value (string) representing a number and returns the closest integer to it. If the number is equidistant from two integers, round it away from zero. Examples >>> closest_integer("10") 10 >>> closest_integer("15.3") 15 ...
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