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humaneval.jsonl

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+{"id": "humaneval_2", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef truncate_number(number: float) -> float:\n    \"\"\" Given a positive floating point number, it can be decomposed into\n    and integer part (largest integer smaller than given number) and decimals\n    (leftover part always smaller than 1).\n\n    Return the decimal part of the number.\n    >>> truncate_number(3.5)\n    0.5\n    \"\"\"\n", "rephrased_question": "def truncate_number(number: float) -> float:\n    \"\"\" Decompose a positive floating-point number into its integer component (the largest integer less than the number) and its fractional component (which is always less than 1). Return the fractional part.\n    >>> truncate_number(3.5)\n    0.5\n    \"\"\"", "answer": "    return number % 1.0\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate(3.5) == 0.5\n    assert abs(candidate(1.33) - 0.33) < 1e-6\n    assert abs(candidate(123.456) - 0.456) < 1e-6\n", "entry_point": "truncate_number"}
+{"id": "humaneval_10", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef is_palindrome(string: str) -> bool:\n    \"\"\" Test if given string is a palindrome \"\"\"\n    return string == string[::-1]\n\n\ndef make_palindrome(string: str) -> str:\n    \"\"\" Find the shortest palindrome that begins with a supplied string.\n    Algorithm idea is simple:\n    - Find the longest postfix of supplied string that is a palindrome.\n    - Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.\n    >>> make_palindrome('')\n    ''\n    >>> make_palindrome('cat')\n    'catac'\n    >>> make_palindrome('cata')\n    'catac'\n    \"\"\"\n", "rephrased_question": "def is_palindrome(string: str) -> bool:\n    \"\"\" Check whether the input string reads the same forwards and backwards.\n    \"\"\"\n    return string == string[::-1]\n\ndef make_palindrome(string: str) -> str:\n    \"\"\" Construct the shortest palindrome that has the given string as its prefix. The approach: locate the longest palindromic suffix of the given string, then append the reverse of the preceding prefix to the end.\n    >>> make_palindrome('')\n    ''\n    >>> make_palindrome('cat')\n    'catac'\n    >>> make_palindrome('cata')\n    'catac'\n    \"\"\"", "answer": "    if not string:\n        return ''\n\n    beginning_of_suffix = 0\n\n    while not is_palindrome(string[beginning_of_suffix:]):\n        beginning_of_suffix += 1\n\n    return string + string[:beginning_of_suffix][::-1]\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate('') == ''\n    assert candidate('x') == 'x'\n    assert candidate('xyz') == 'xyzyx'\n    assert candidate('xyx') == 'xyx'\n    assert candidate('jerry') == 'jerryrrej'\n", "entry_point": "make_palindrome"}
+{"id": "humaneval_11", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "from typing import List\n\n\ndef string_xor(a: str, b: str) -> str:\n    \"\"\" Input are two strings a and b consisting only of 1s and 0s.\n    Perform binary XOR on these inputs and return result also as a string.\n    >>> string_xor('010', '110')\n    '100'\n    \"\"\"\n", "rephrased_question": "def string_xor(a: str, b: str) -> str:\n    \"\"\" Perform binary XOR operation on two binary strings (consisting only of '0' and '1') and return the result as a binary string.\n    >>> string_xor('010', '110')\n    '100'\n    \"\"\"", "answer": "    def xor(i, j):\n        if i == j:\n            return '0'\n        else:\n            return '1'\n\n    return ''.join(xor(x, y) for x, y in zip(a, b))\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate('111000', '101010') == '010010'\n    assert candidate('1', '1') == '0'\n    assert candidate('0101', '0000') == '0101'\n", "entry_point": "string_xor"}
+{"id": "humaneval_13", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef greatest_common_divisor(a: int, b: int) -> int:\n    \"\"\" Return a greatest common divisor of two integers a and b\n    >>> greatest_common_divisor(3, 5)\n    1\n    >>> greatest_common_divisor(25, 15)\n    5\n    \"\"\"\n", "rephrased_question": "def greatest_common_divisor(a: int, b: int) -> int:\n    \"\"\" Compute the greatest common divisor (GCD) of two integers.\n    >>> greatest_common_divisor(3, 5)\n    1\n    >>> greatest_common_divisor(25, 15)\n    5\n    \"\"\"", "answer": "    while b:\n        a, b = b, a % b\n    return a\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate(3, 7) == 1\n    assert candidate(10, 15) == 5\n    assert candidate(49, 14) == 7\n    assert candidate(144, 60) == 12\n", "entry_point": "greatest_common_divisor"}
+{"id": "humaneval_15", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef string_sequence(n: int) -> str:\n    \"\"\" Return a string containing space-delimited numbers starting from 0 upto n inclusive.\n    >>> string_sequence(0)\n    '0'\n    >>> string_sequence(5)\n    '0 1 2 3 4 5'\n    \"\"\"\n", "rephrased_question": "def string_sequence(n: int) -> str:\n    \"\"\" Produce a string containing the numbers from 0 up to and including n, separated by spaces.\n    >>> string_sequence(0)\n    '0'\n    >>> string_sequence(5)\n    '0 1 2 3 4 5'\n    \"\"\"", "answer": "    return ' '.join([str(x) for x in range(n + 1)])\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate(0) == '0'\n    assert candidate(3) == '0 1 2 3'\n    assert candidate(10) == '0 1 2 3 4 5 6 7 8 9 10'\n", "entry_point": "string_sequence"}
+{"id": "humaneval_16", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef count_distinct_characters(string: str) -> int:\n    \"\"\" Given a string, find out how many distinct characters (regardless of case) does it consist of\n    >>> count_distinct_characters('xyzXYZ')\n    3\n    >>> count_distinct_characters('Jerry')\n    4\n    \"\"\"\n", "rephrased_question": "def count_distinct_characters(string: str) -> int:\n    \"\"\" Count the number of unique characters in the string, ignoring case differences.\n    >>> count_distinct_characters('xyzXYZ')\n    3\n    >>> count_distinct_characters('Jerry')\n    4\n    \"\"\"", "answer": "    return len(set(string.lower()))\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate('') == 0\n    assert candidate('abcde') == 5\n    assert candidate('abcde' + 'cade' + 'CADE') == 5\n    assert candidate('aaaaAAAAaaaa') == 1\n    assert candidate('Jerry jERRY JeRRRY') == 5\n", "entry_point": "count_distinct_characters"}
+{"id": "humaneval_18", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef how_many_times(string: str, substring: str) -> int:\n    \"\"\" Find how many times a given substring can be found in the original string. Count overlaping cases.\n    >>> how_many_times('', 'a')\n    0\n    >>> how_many_times('aaa', 'a')\n    3\n    >>> how_many_times('aaaa', 'aa')\n    3\n    \"\"\"\n", "rephrased_question": "def how_many_times(string: str, substring: str) -> int:\n    \"\"\" Count the occurrences of a substring within a string, considering overlapping matches.\n    >>> how_many_times('', 'a')\n    0\n    >>> how_many_times('aaa', 'a')\n    3\n    >>> how_many_times('aaaa', 'aa')\n    3\n    \"\"\"", "answer": "    times = 0\n\n    for i in range(len(string) - len(substring) + 1):\n        if string[i:i+len(substring)] == substring:\n            times += 1\n\n    return times\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate('', 'x') == 0\n    assert candidate('xyxyxyx', 'x') == 4\n    assert candidate('cacacacac', 'cac') == 4\n    assert candidate('john doe', 'john') == 1\n", "entry_point": "how_many_times"}
+{"id": "humaneval_19", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "from typing import List\n\n\ndef sort_numbers(numbers: str) -> str:\n    \"\"\" Input is a space-delimited string of numberals from 'zero' to 'nine'.\n    Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.\n    Return the string with numbers sorted from smallest to largest\n    >>> sort_numbers('three one five')\n    'one three five'\n    \"\"\"\n", "rephrased_question": "def sort_numbers(numbers: str) -> str:\n    \"\"\" Given a space-separated string of number words from 'zero' to 'nine', sort them numerically and return as a space-separated string.\n    >>> sort_numbers('three one five')\n    'one three five'\n    \"\"\"", "answer": "    value_map = {\n        'zero': 0,\n        'one': 1,\n        'two': 2,\n        'three': 3,\n        'four': 4,\n        'five': 5,\n        'six': 6,\n        'seven': 7,\n        'eight': 8,\n        'nine': 9\n    }\n    return ' '.join(sorted([x for x in numbers.split(' ') if x], key=lambda x: value_map[x]))\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate('') == ''\n    assert candidate('three') == 'three'\n    assert candidate('three five nine') == 'three five nine'\n    assert candidate('five zero four seven nine eight') == 'zero four five seven eight nine'\n    assert candidate('six five four three two one zero') == 'zero one two three four five six'\n", "entry_point": "sort_numbers"}
+{"id": "humaneval_23", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef strlen(string: str) -> int:\n    \"\"\" Return length of given string\n    >>> strlen('')\n    0\n    >>> strlen('abc')\n    3\n    \"\"\"\n", "rephrased_question": "def strlen(string: str) -> int:\n    \"\"\" Return the length of the given string.\n    >>> strlen('')\n    0\n    >>> strlen('abc')\n    3\n    \"\"\"", "answer": "    return len(string)\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate('') == 0\n    assert candidate('x') == 1\n    assert candidate('asdasnakj') == 9\n", "entry_point": "strlen"}
+{"id": "humaneval_24", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef largest_divisor(n: int) -> int:\n    \"\"\" For a given number n, find the largest number that divides n evenly, smaller than n\n    >>> largest_divisor(15)\n    5\n    \"\"\"\n", "rephrased_question": "def largest_divisor(n: int) -> int:\n    \"\"\" Find the largest positive integer that is less than n and divides n evenly.\n    >>> largest_divisor(15)\n    5\n    \"\"\"", "answer": "    for i in reversed(range(n)):\n        if n % i == 0:\n            return i\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate(3) == 1\n    assert candidate(7) == 1\n    assert candidate(10) == 5\n    assert candidate(100) == 50\n    assert candidate(49) == 7\n", "entry_point": "largest_divisor"}
+{"id": "humaneval_27", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef flip_case(string: str) -> str:\n    \"\"\" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.\n    >>> flip_case('Hello')\n    'hELLO'\n    \"\"\"\n", "rephrased_question": "def flip_case(string: str) -> str:\n    \"\"\" Toggle the case of each character in the string: uppercase becomes lowercase and vice versa.\n    >>> flip_case('Hello')\n    'hELLO'\n    \"\"\"", "answer": "    return string.swapcase()\n", "test": "\n\nMETADATA = {\n    'author': 'jt',\n    'dataset': 'test'\n}\n\n\ndef check(candidate):\n    assert candidate('') == ''\n    assert candidate('Hello!') == 'hELLO!'\n    assert candidate('These violent delights have violent ends') == 'tHESE VIOLENT DELIGHTS HAVE VIOLENT ENDS'\n", "entry_point": "flip_case"}
+{"id": "humaneval_30", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef get_positive(l: list):\n    \"\"\"Return only positive numbers in the list.\n    >>> get_positive([-1, 2, -4, 5, 6])\n    [2, 5, 6]\n    >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n    [5, 3, 2, 3, 9, 123, 1]\n    \"\"\"\n", "rephrased_question": "def get_positive(l: list):\n    \"\"\" Extract all positive numbers from the input list.\n    >>> get_positive([-1, 2, -4, 5, 6])\n    [2, 5, 6]\n    >>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n    [5, 3, 2, 3, 9, 123, 1]\n    \"\"\"", "answer": "    return [e for e in l if e > 0]\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate([-1, -2, 4, 5, 6]) == [4, 5, 6]\n    assert candidate([5, 3, -5, 2, 3, 3, 9, 0, 123, 1, -10]) == [5, 3, 2, 3, 3, 9, 123, 1]\n    assert candidate([-1, -2]) == []\n    assert candidate([]) == []\n\n", "entry_point": "get_positive"}
+{"id": "humaneval_31", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef is_prime(n):\n    \"\"\"Return true if a given number is prime, and false otherwise.\n    >>> is_prime(6)\n    False\n    >>> is_prime(101)\n    True\n    >>> is_prime(11)\n    True\n    >>> is_prime(13441)\n    True\n    >>> is_prime(61)\n    True\n    >>> is_prime(4)\n    False\n    >>> is_prime(1)\n    False\n    \"\"\"\n", "rephrased_question": "def is_prime(n):\n    \"\"\" Determine whether the given integer is a prime number (returns True if prime, False otherwise).\n    >>> is_prime(6)\n    False\n    >>> is_prime(101)\n    True\n    >>> is_prime(11)\n    True\n    >>> is_prime(13441)\n    True\n    >>> is_prime(61)\n    True\n    >>> is_prime(4)\n    False\n    >>> is_prime(1)\n    False\n    \"\"\"", "answer": "    if n < 2:\n        return False\n    for k in range(2, n - 1):\n        if n % k == 0:\n            return False\n    return True\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate(6) == False\n    assert candidate(101) == True\n    assert candidate(11) == True\n    assert candidate(13441) == True\n    assert candidate(61) == True\n    assert candidate(4) == False\n    assert candidate(1) == False\n    assert candidate(5) == True\n    assert candidate(11) == True\n    assert candidate(17) == True\n    assert candidate(5 * 17) == False\n    assert candidate(11 * 7) == False\n    assert candidate(13441 * 19) == False\n\n", "entry_point": "is_prime"}
+{"id": "humaneval_32", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "import math\n\n\ndef poly(xs: list, x: float):\n    \"\"\"\n    Evaluates polynomial with coefficients xs at point x.\n    return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n\n    \"\"\"\n    return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])\n\n\ndef find_zero(xs: list):\n    \"\"\" xs are coefficients of a polynomial.\n    find_zero find x such that poly(x) = 0.\n    find_zero returns only only zero point, even if there are many.\n    Moreover, find_zero only takes list xs having even number of coefficients\n    and largest non zero coefficient as it guarantees\n    a solution.\n    >>> round(find_zero([1, 2]), 2) # f(x) = 1 + 2x\n    -0.5\n    >>> round(find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3) = -6 + 11x - 6x^2 + x^3\n    1.0\n    \"\"\"\n", "rephrased_question": "import math\n\ndef poly(xs: list, x: float):\n    \"\"\" Evaluate the polynomial defined by coefficients xs at point x.\n    return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n\n    \"\"\"\n    return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])\n\ndef find_zero(xs: list):\n    \"\"\" Find a real root x such that the polynomial evaluates to zero. The input list xs must have an even number of coefficients and a nonzero leading coefficient to guarantee a solution; returns only one root even if multiple exist.\n    >>> round(find_zero([1, 2]), 2) # f(x) = 1 + 2x\n    -0.5\n    >>> round(find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3) = -6 + 11x - 6x^2 + x^3\n    1.0\n    \"\"\"", "answer": "    begin, end = -1., 1.\n    while poly(xs, begin) * poly(xs, end) > 0:\n        begin *= 2.0\n        end *= 2.0\n    while end - begin > 1e-10:\n        center = (begin + end) / 2.0\n        if poly(xs, center) * poly(xs, begin) > 0:\n            begin = center\n        else:\n            end = center\n    return begin\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    import math\n    import random\n    rng = random.Random(42)\n    import copy\n    for _ in range(100):\n        ncoeff = 2 * rng.randint(1, 4)\n        coeffs = []\n        for _ in range(ncoeff):\n            coeff = rng.randint(-10, 10)\n            if coeff == 0:\n                coeff = 1\n            coeffs.append(coeff)\n        solution = candidate(copy.deepcopy(coeffs))\n        assert math.fabs(poly(coeffs, solution)) < 1e-4\n\n", "entry_point": "find_zero"}
+{"id": "humaneval_33", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef sort_third(l: list):\n    \"\"\"This function takes a list l and returns a list l' such that\n    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\n    to the values of the corresponding indicies of l, but sorted.\n    >>> sort_third([1, 2, 3])\n    [1, 2, 3]\n    >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n    [2, 6, 3, 4, 8, 9, 5]\n    \"\"\"\n", "rephrased_question": "def sort_third(l: list):\n    \"\"\" Return a new list where elements at indices not divisible by 3 remain unchanged, while elements at indices divisible by 3 are replaced with the sorted values of those positions.\n    >>> sort_third([1, 2, 3])\n    [1, 2, 3]\n    >>> sort_third([5, 6, 3, 4, 8, 9, 2])\n    [2, 6, 3, 4, 8, 9, 5]\n    \"\"\"", "answer": "    l = list(l)\n    l[::3] = sorted(l[::3])\n    return l\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert tuple(candidate([1, 2, 3])) == tuple(sort_third([1, 2, 3]))\n    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]))\n    assert tuple(candidate([5, 8, -12, 4, 23, 2, 3, 11, 12, -10])) == tuple(sort_third([5, 8, -12, 4, 23, 2, 3, 11, 12, -10]))\n    assert tuple(candidate([5, 6, 3, 4, 8, 9, 2])) == tuple([2, 6, 3, 4, 8, 9, 5])\n    assert tuple(candidate([5, 8, 3, 4, 6, 9, 2])) == tuple([2, 8, 3, 4, 6, 9, 5])\n    assert tuple(candidate([5, 6, 9, 4, 8, 3, 2])) == tuple([2, 6, 9, 4, 8, 3, 5])\n    assert tuple(candidate([5, 6, 3, 4, 8, 9, 2, 1])) == tuple([2, 6, 3, 4, 8, 9, 5, 1])\n\n", "entry_point": "sort_third"}
+{"id": "humaneval_34", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef unique(l: list):\n    \"\"\"Return sorted unique elements in a list\n    >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n    [0, 2, 3, 5, 9, 123]\n    \"\"\"\n", "rephrased_question": "def unique(l: list):\n    \"\"\" Return a sorted list of the unique elements from the input list.\n    >>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])\n    [0, 2, 3, 5, 9, 123]\n    \"\"\"", "answer": "    return sorted(list(set(l)))\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate([5, 3, 5, 2, 3, 3, 9, 0, 123]) == [0, 2, 3, 5, 9, 123]\n\n", "entry_point": "unique"}
+{"id": "humaneval_35", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef max_element(l: list):\n    \"\"\"Return maximum element in the list.\n    >>> max_element([1, 2, 3])\n    3\n    >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n    123\n    \"\"\"\n", "rephrased_question": "def max_element(l: list):\n    \"\"\" Find and return the maximum value in the list.\n    >>> max_element([1, 2, 3])\n    3\n    >>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])\n    123\n    \"\"\"", "answer": "    m = l[0]\n    for e in l:\n        if e > m:\n            m = e\n    return m\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate([1, 2, 3]) == 3\n    assert candidate([5, 3, -5, 2, -3, 3, 9, 0, 124, 1, -10]) == 124\n", "entry_point": "max_element"}
+{"id": "humaneval_36", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef fizz_buzz(n: int):\n    \"\"\"Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.\n    >>> fizz_buzz(50)\n    0\n    >>> fizz_buzz(78)\n    2\n    >>> fizz_buzz(79)\n    3\n    \"\"\"\n", "rephrased_question": "def fizz_buzz(n: int):\n    \"\"\" Count how many times the digit '7' appears in numbers less than n that are divisible by 11 or 13.\n    >>> fizz_buzz(50)\n    0\n    >>> fizz_buzz(78)\n    2\n    >>> fizz_buzz(79)\n    3\n    \"\"\"", "answer": "    ns = []\n    for i in range(n):\n        if i % 11 == 0 or i % 13 == 0:\n            ns.append(i)\n    s = ''.join(list(map(str, ns)))\n    ans = 0\n    for c in s:\n        ans += (c == '7')\n    return ans\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate(50) == 0\n    assert candidate(78) == 2\n    assert candidate(79) == 3\n    assert candidate(100) == 3\n    assert candidate(200) == 6\n    assert candidate(4000) == 192\n    assert candidate(10000) == 639\n    assert candidate(100000) == 8026\n\n", "entry_point": "fizz_buzz"}
+{"id": "humaneval_37", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef sort_even(l: list):\n    \"\"\"This function takes a list l and returns a list l' such that\n    l' is identical to l in the odd indicies, while its values at the even indicies are equal\n    to the values of the even indicies of l, but sorted.\n    >>> sort_even([1, 2, 3])\n    [1, 2, 3]\n    >>> sort_even([5, 6, 3, 4])\n    [3, 6, 5, 4]\n    \"\"\"\n", "rephrased_question": "def sort_even(l: list):\n    \"\"\" Return a list where elements at odd indices are unchanged, and elements at even indices are replaced with the sorted values of those positions.\n    >>> sort_even([1, 2, 3])\n    [1, 2, 3]\n    >>> sort_even([5, 6, 3, 4])\n    [3, 6, 5, 4]\n    \"\"\"", "answer": "    evens = l[::2]\n    odds = l[1::2]\n    evens.sort()\n    ans = []\n    for e, o in zip(evens, odds):\n        ans.extend([e, o])\n    if len(evens) > len(odds):\n        ans.append(evens[-1])\n    return ans\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert tuple(candidate([1, 2, 3])) == tuple([1, 2, 3])\n    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])\n    assert tuple(candidate([5, 8, -12, 4, 23, 2, 3, 11, 12, -10])) == tuple([-12, 8, 3, 4, 5, 2, 12, 11, 23, -10])\n\n", "entry_point": "sort_even"}
+{"id": "humaneval_38", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef encode_cyclic(s: str):\n    \"\"\"\n    returns encoded string by cycling groups of three characters.\n    \"\"\"\n    # split string to groups. Each of length 3.\n    groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n    # cycle elements in each group. Unless group has fewer elements than 3.\n    groups = [(group[1:] + group[0]) if len(group) == 3 else group for group in groups]\n    return \"\".join(groups)\n\n\ndef decode_cyclic(s: str):\n    \"\"\"\n    takes as input string encoded with encode_cyclic function. Returns decoded string.\n    \"\"\"\n", "rephrased_question": "def encode_cyclic(s: str):\n    \"\"\" Encode a string by cycling each group of three characters (e.g., rotating left by one) and concatenating.\n    \"\"\"\n    # split string to groups. Each of length 3.\n    groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]\n    # cycle elements in each group. Unless group has fewer elements than 3.\n    groups = [(group[1:] + group[0]) if len(group) == 3 else group for group in groups]\n    return \"\".join(groups)\n\ndef decode_cyclic(s: str):\n    \"\"\" Decode a string that was encoded with encode_cyclic, reversing the cycling transformation.\n    \"\"\"", "answer": "    return encode_cyclic(encode_cyclic(s))\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    from random import randint, choice\n    import string\n\n    letters = string.ascii_lowercase\n    for _ in range(100):\n        str = ''.join(choice(letters) for i in range(randint(10, 20)))\n        encoded_str = encode_cyclic(str)\n        assert candidate(encoded_str) == str\n\n", "entry_point": "decode_cyclic"}
+{"id": "humaneval_39", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef prime_fib(n: int):\n    \"\"\"\n    prime_fib returns n-th number that is a Fibonacci number and it's also prime.\n    >>> prime_fib(1)\n    2\n    >>> prime_fib(2)\n    3\n    >>> prime_fib(3)\n    5\n    >>> prime_fib(4)\n    13\n    >>> prime_fib(5)\n    89\n    \"\"\"\n", "rephrased_question": "def prime_fib(n: int):\n    \"\"\" Return the n-th number that is both a Fibonacci number and a prime.\n    >>> prime_fib(1)\n    2\n    >>> prime_fib(2)\n    3\n    >>> prime_fib(3)\n    5\n    >>> prime_fib(4)\n    13\n    >>> prime_fib(5)\n    89\n    \"\"\"", "answer": "    import math\n\n    def is_prime(p):\n        if p < 2:\n            return False\n        for k in range(2, min(int(math.sqrt(p)) + 1, p - 1)):\n            if p % k == 0:\n                return False\n        return True\n    f = [0, 1]\n    while True:\n        f.append(f[-1] + f[-2])\n        if is_prime(f[-1]):\n            n -= 1\n        if n == 0:\n            return f[-1]\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate(1) == 2\n    assert candidate(2) == 3\n    assert candidate(3) == 5\n    assert candidate(4) == 13\n    assert candidate(5) == 89\n    assert candidate(6) == 233\n    assert candidate(7) == 1597\n    assert candidate(8) == 28657\n    assert candidate(9) == 514229\n    assert candidate(10) == 433494437\n\n", "entry_point": "prime_fib"}
+{"id": "humaneval_40", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef triples_sum_to_zero(l: list):\n    \"\"\"\n    triples_sum_to_zero takes a list of integers as an input.\n    it returns True if there are three distinct elements in the list that\n    sum to zero, and False otherwise.\n\n    >>> triples_sum_to_zero([1, 3, 5, 0])\n    False\n    >>> triples_sum_to_zero([1, 3, -2, 1])\n    True\n    >>> triples_sum_to_zero([1, 2, 3, 7])\n    False\n    >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n    True\n    >>> triples_sum_to_zero([1])\n    False\n    \"\"\"\n", "rephrased_question": "def triples_sum_to_zero(l: list):\n    \"\"\" Check if there exist three distinct elements in the list whose sum equals zero.\n    >>> triples_sum_to_zero([1, 3, 5, 0])\n    False\n    >>> triples_sum_to_zero([1, 3, -2, 1])\n    True\n    >>> triples_sum_to_zero([1, 2, 3, 7])\n    False\n    >>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])\n    True\n    >>> triples_sum_to_zero([1])\n    False\n    \"\"\"", "answer": "    for i in range(len(l)):\n        for j in range(i + 1, len(l)):\n            for k in range(j + 1, len(l)):\n                if l[i] + l[j] + l[k] == 0:\n                    return True\n    return False\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate([1, 3, 5, 0]) == False\n    assert candidate([1, 3, 5, -1]) == False\n    assert candidate([1, 3, -2, 1]) == True\n    assert candidate([1, 2, 3, 7]) == False\n    assert candidate([1, 2, 5, 7]) == False\n    assert candidate([2, 4, -5, 3, 9, 7]) == True\n    assert candidate([1]) == False\n    assert candidate([1, 3, 5, -100]) == False\n    assert candidate([100, 3, 5, -100]) == False\n\n", "entry_point": "triples_sum_to_zero"}
+{"id": "humaneval_41", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef car_race_collision(n: int):\n    \"\"\"\n    Imagine a road that's a perfectly straight infinitely long line.\n    n cars are driving left to right;  simultaneously, a different set of n cars\n    are driving right to left.   The two sets of cars start out being very far from\n    each other.  All cars move in the same speed.  Two cars are said to collide\n    when a car that's moving left to right hits a car that's moving right to left.\n    However, the cars are infinitely sturdy and strong; as a result, they continue moving\n    in their trajectory as if they did not collide.\n\n    This function outputs the number of such collisions.\n    \"\"\"\n", "rephrased_question": "def car_race_collision(n: int):\n    \"\"\" Calculate the number of collisions between two sets of n cars moving in opposite directions on a straight line, assuming they pass through each other without changing speed.\n    \"\"\"", "answer": "    return n**2\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate(2) == 4\n    assert candidate(3) == 9\n    assert candidate(4) == 16\n    assert candidate(8) == 64\n    assert candidate(10) == 100\n\n", "entry_point": "car_race_collision"}
+{"id": "humaneval_42", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef incr_list(l: list):\n    \"\"\"Return list with elements incremented by 1.\n    >>> incr_list([1, 2, 3])\n    [2, 3, 4]\n    >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n    [6, 4, 6, 3, 4, 4, 10, 1, 124]\n    \"\"\"\n", "rephrased_question": "def incr_list(l: list):\n    \"\"\" Increment each element of the list by 1.\n    >>> incr_list([1, 2, 3])\n    [2, 3, 4]\n    >>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])\n    [6, 4, 6, 3, 4, 4, 10, 1, 124]\n    \"\"\"", "answer": "    return [(e + 1) for e in l]\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate([]) == []\n    assert candidate([3, 2, 1]) == [4, 3, 2]\n    assert candidate([5, 2, 5, 2, 3, 3, 9, 0, 123]) == [6, 3, 6, 3, 4, 4, 10, 1, 124]\n\n", "entry_point": "incr_list"}
+{"id": "humaneval_43", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef pairs_sum_to_zero(l):\n    \"\"\"\n    pairs_sum_to_zero takes a list of integers as an input.\n    it returns True if there are two distinct elements in the list that\n    sum to zero, and False otherwise.\n    >>> pairs_sum_to_zero([1, 3, 5, 0])\n    False\n    >>> pairs_sum_to_zero([1, 3, -2, 1])\n    False\n    >>> pairs_sum_to_zero([1, 2, 3, 7])\n    False\n    >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n    True\n    >>> pairs_sum_to_zero([1])\n    False\n    \"\"\"\n", "rephrased_question": "def pairs_sum_to_zero(l):\n    \"\"\" Check if there exist two distinct elements in the list whose sum is zero.\n    >>> pairs_sum_to_zero([1, 3, 5, 0])\n    False\n    >>> pairs_sum_to_zero([1, 3, -2, 1])\n    False\n    >>> pairs_sum_to_zero([1, 2, 3, 7])\n    False\n    >>> pairs_sum_to_zero([2, 4, -5, 3, 5, 7])\n    True\n    >>> pairs_sum_to_zero([1])\n    False\n    \"\"\"", "answer": "    for i, l1 in enumerate(l):\n        for j in range(i + 1, len(l)):\n            if l1 + l[j] == 0:\n                return True\n    return False\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate([1, 3, 5, 0]) == False\n    assert candidate([1, 3, -2, 1]) == False\n    assert candidate([1, 2, 3, 7]) == False\n    assert candidate([2, 4, -5, 3, 5, 7]) == True\n    assert candidate([1]) == False\n\n    assert candidate([-3, 9, -1, 3, 2, 30]) == True\n    assert candidate([-3, 9, -1, 3, 2, 31]) == True\n    assert candidate([-3, 9, -1, 4, 2, 30]) == False\n    assert candidate([-3, 9, -1, 4, 2, 31]) == False\n\n", "entry_point": "pairs_sum_to_zero"}
+{"id": "humaneval_44", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef change_base(x: int, base: int):\n    \"\"\"Change numerical base of input number x to base.\n    return string representation after the conversion.\n    base numbers are less than 10.\n    >>> change_base(8, 3)\n    '22'\n    >>> change_base(8, 2)\n    '1000'\n    >>> change_base(7, 2)\n    '111'\n    \"\"\"\n", "rephrased_question": "def change_base(x: int, base: int):\n    \"\"\" Convert integer x to a different base (less than 10) and return the string representation.\n    >>> change_base(8, 3)\n    '22'\n    >>> change_base(8, 2)\n    '1000'\n    >>> change_base(7, 2)\n    '111'\n    \"\"\"", "answer": "    ret = \"\"\n    while x > 0:\n        ret = str(x % base) + ret\n        x //= base\n    return ret\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate(8, 3) == \"22\"\n    assert candidate(9, 3) == \"100\"\n    assert candidate(234, 2) == \"11101010\"\n    assert candidate(16, 2) == \"10000\"\n    assert candidate(8, 2) == \"1000\"\n    assert candidate(7, 2) == \"111\"\n    for x in range(2, 8):\n        assert candidate(x, x + 1) == str(x)\n\n", "entry_point": "change_base"}
+{"id": "humaneval_45", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef triangle_area(a, h):\n    \"\"\"Given length of a side and high return area for a triangle.\n    >>> triangle_area(5, 3)\n    7.5\n    \"\"\"\n", "rephrased_question": "def triangle_area(a, h):\n    \"\"\" Calculate the area of a triangle given the length of a side and the corresponding height.\n    >>> triangle_area(5, 3)\n    7.5\n    \"\"\"", "answer": "    return a * h / 2.0\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate(5, 3) == 7.5\n    assert candidate(2, 2) == 2.0\n    assert candidate(10, 8) == 40.0\n\n", "entry_point": "triangle_area"}
+{"id": "humaneval_46", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef fib4(n: int):\n    \"\"\"The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:\n    fib4(0) -> 0\n    fib4(1) -> 0\n    fib4(2) -> 2\n    fib4(3) -> 0\n    fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).\n    Please write a function to efficiently compute the n-th element of the fib4 number sequence.  Do not use recursion.\n    >>> fib4(5)\n    4\n    >>> fib4(6)\n    8\n    >>> fib4(7)\n    14\n    \"\"\"\n", "rephrased_question": "def fib4(n: int):\n    \"\"\" Compute the n-th element of the Fib4 sequence, defined by initial values and recurrence, without using recursion.\n    >>> fib4(5)\n    4\n    >>> fib4(6)\n    8\n    >>> fib4(7)\n    14\n    \"\"\"", "answer": "    results = [0, 0, 2, 0]\n    if n < 4:\n        return results[n]\n\n    for _ in range(4, n + 1):\n        results.append(results[-1] + results[-2] + results[-3] + results[-4])\n        results.pop(0)\n\n    return results[-1]\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate(5) == 4\n    assert candidate(8) == 28\n    assert candidate(10) == 104\n    assert candidate(12) == 386\n\n", "entry_point": "fib4"}
+{"id": "humaneval_47", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef median(l: list):\n    \"\"\"Return median of elements in the list l.\n    >>> median([3, 1, 2, 4, 5])\n    3\n    >>> median([-10, 4, 6, 1000, 10, 20])\n    15.0\n    \"\"\"\n", "rephrased_question": "def median(l: list):\n    \"\"\" Return the median value of the list; for even length, return the average of the two middle values.\n    >>> median([3, 1, 2, 4, 5])\n    3\n    >>> median([-10, 4, 6, 1000, 10, 20])\n    15.0\n    \"\"\"", "answer": "    l = sorted(l)\n    if len(l) % 2 == 1:\n        return l[len(l) // 2]\n    else:\n        return (l[len(l) // 2 - 1] + l[len(l) // 2]) / 2.0\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate([3, 1, 2, 4, 5]) == 3\n    assert candidate([-10, 4, 6, 1000, 10, 20]) == 8.0\n    assert candidate([5]) == 5\n    assert candidate([6, 5]) == 5.5\n    assert candidate([8, 1, 3, 9, 9, 2, 7]) == 7 \n\n", "entry_point": "median"}
+{"id": "humaneval_48", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef is_palindrome(text: str):\n    \"\"\"\n    Checks if given string is a palindrome\n    >>> is_palindrome('')\n    True\n    >>> is_palindrome('aba')\n    True\n    >>> is_palindrome('aaaaa')\n    True\n    >>> is_palindrome('zbcd')\n    False\n    \"\"\"\n", "rephrased_question": "def is_palindrome(text: str):\n    \"\"\" Determine if the input string is a palindrome.\n    >>> is_palindrome('')\n    True\n    >>> is_palindrome('aba')\n    True\n    >>> is_palindrome('aaaaa')\n    True\n    >>> is_palindrome('zbcd')\n    False\n    \"\"\"", "answer": "    for i in range(len(text)):\n        if text[i] != text[len(text) - 1 - i]:\n            return False\n    return True\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate('') == True\n    assert candidate('aba') == True\n    assert candidate('aaaaa') == True\n    assert candidate('zbcd') == False\n    assert candidate('xywyx') == True\n    assert candidate('xywyz') == False\n    assert candidate('xywzx') == False\n\n", "entry_point": "is_palindrome"}
+{"id": "humaneval_49", "domain": "humaneval", "source_dataset": "openai/openai_humaneval", "original_question": "\n\ndef modp(n: int, p: int):\n    \"\"\"Return 2^n modulo p (be aware of numerics).\n    >>> modp(3, 5)\n    3\n    >>> modp(1101, 101)\n    2\n    >>> modp(0, 101)\n    1\n    >>> modp(3, 11)\n    8\n    >>> modp(100, 101)\n    1\n    \"\"\"\n", "rephrased_question": "def modp(n: int, p: int):\n    \"\"\" Compute 2 raised to the power n modulo p, taking care of large numbers.\n    >>> modp(3, 5)\n    3\n    >>> modp(1101, 101)\n    2\n    >>> modp(0, 101)\n    1\n    >>> modp(3, 11)\n    8\n    >>> modp(100, 101)\n    1\n    \"\"\"", "answer": "    ret = 1\n    for i in range(n):\n        ret = (2 * ret) % p\n    return ret\n", "test": "\n\nMETADATA = {}\n\n\ndef check(candidate):\n    assert candidate(3, 5) == 3\n    assert candidate(1101, 101) == 2\n    assert candidate(0, 101) == 1\n    assert candidate(3, 11) == 8\n    assert candidate(100, 101) == 1\n    assert candidate(30, 5) == 4\n    assert candidate(31, 5) == 3\n\n", "entry_point": "modp"}