python_code
stringlengths 0
869k
|
|---|
ENTRY_POINT = 'int_to_mini_roman'
#[PROMPT]
def int_to_mini_roman(number):
"""
Given a positive integer, obtain its roman numeral equivalent as a string,
and return it in lowercase.
Restrictions: 1 <= num <= 1000
Examples:
>>> int_to_mini_roman(19) == 'xix'
>>> int_to_mini_roman(152) == 'clii'
>>> int_to_mini_roman(426) == 'cdxxvi'
"""
#[SOLUTION]
num = [1, 4, 5, 9, 10, 40, 50, 90,
100, 400, 500, 900, 1000]
sym = ["I", "IV", "V", "IX", "X", "XL",
"L", "XC", "C", "CD", "D", "CM", "M"]
i = 12
res = ''
while number:
div = number // num[i]
number %= num[i]
while div:
res += sym[i]
div -= 1
i -= 1
return res.lower()
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(19) == 'xix'
assert candidate(152) == 'clii'
assert candidate(251) == 'ccli'
assert candidate(426) == 'cdxxvi'
assert candidate(500) == 'd'
assert candidate(1) == 'i'
assert candidate(43) == 'xliii'
assert candidate(532) == 'dxxxii'
# Check some edge cases that are easy to work out by hand.
assert True
|
ENTRY_POINT = 'prod_signs'
#[PROMPT]
def prod_signs(arr):
"""
You are given an array arr of integers and you need to return
sum of magnitudes of integers multiplied by product of all signs
of each number in the array, represented by 1, -1 or 0.
Note: return None for empty arr.
Example:
>>> prod_signs([1, 2, 2, -4]) == -9
>>> prod_signs([0, 1]) == 0
>>> prod_signs([]) == None
"""
#[SOLUTION]
if not arr: return None
prod = 0 if 0 in arr else (-1) ** len(list(filter(lambda x: x < 0, arr)))
return prod * sum([abs(i) for i in arr])
#[CHECK]
def check(candidate):
# Check some simple cases
assert True, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([1, 2, 2, -4]) == -9
assert candidate([0, 1]) == 0
assert candidate([1, 1, 1, 2, 3, -1, 1]) == -10
assert candidate([]) == None
assert candidate([2, 4,1, 2, -1, -1, 9]) == 20
assert candidate([-1, 1, -1, 1]) == 4
assert candidate([-1, 1, 1, 1]) == -4
assert candidate([-1, 1, 1, 0]) == 0
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'make_a_pile'
#[PROMPT]
def make_a_pile(n):
"""
Given a positive integer n, you have to make a pile of n levels of stones.
The first level has n stones.
The number of stones in the next level is:
- the next odd number if n is odd.
- the next even number if n is even.
Return the number of stones in each level in a list, where element at index
i represents the number of stones in the level (i+1).
Examples:
>>> make_a_pile(3)
[3, 5, 7]
"""
#[SOLUTION]
return [n + 2*i for i in range(n)]
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(3) == [3, 5, 7], "Test 3"
assert candidate(4) == [4,6,8,10], "Test 4"
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'numerical_letter_grade'
FIX = """
Add test case for E grade.
"""
#[PROMPT]
def numerical_letter_grade(grades):
"""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 can output a list of letter grades using the following table:
GPA | Letter grade
4.0 A+
> 3.7 A
> 3.3 A-
> 3.0 B+
> 2.7 B
> 2.3 B-
> 2.0 C+
> 1.7 C
> 1.3 C-
> 1.0 D+
> 0.7 D
> 0.0 D-
0.0 E
Example:
grade_equation([4.0, 3, 1.7, 2, 3.5]) ==> ['A+', 'B', 'C-', 'C', 'A-']
"""
#[SOLUTION]
letter_grade = []
for gpa in grades:
if gpa == 4.0:
letter_grade.append("A+")
elif gpa > 3.7:
letter_grade.append("A")
elif gpa > 3.3:
letter_grade.append("A-")
elif gpa > 3.0:
letter_grade.append("B+")
elif gpa > 2.7:
letter_grade.append("B")
elif gpa > 2.3:
letter_grade.append("B-")
elif gpa > 2.0:
letter_grade.append("C+")
elif gpa > 1.7:
letter_grade.append("C")
elif gpa > 1.3:
letter_grade.append("C-")
elif gpa > 1.0:
letter_grade.append("D+")
elif gpa > 0.7:
letter_grade.append("D")
elif gpa > 0.0:
letter_grade.append("D-")
else:
letter_grade.append("E")
return letter_grade
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([4.0, 3, 1.7, 2, 3.5]) == ['A+', 'B', 'C-', 'C', 'A-']
assert candidate([1.2]) == ['D+']
assert candidate([0.5]) == ['D-']
assert candidate([0.0]) == ['E']
assert candidate([1, 0.3, 1.5, 2.8, 3.3]) == ['D', 'D-', 'C-', 'B', 'B+']
assert candidate([0, 0.7]) == ['E', 'D-']
# Check some edge cases that are easy to work out by hand.
assert True
|
ENTRY_POINT = 'hex_key'
#[PROMPT]
def hex_key(num):
"""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, 5, 6, 7, 8, 9, A, B, C, D, E, F.
Prime numbers are 2, 3, 5, 7, 11, 13, 17,...
So you have to determine a number of the following digits: 2, 3, 5, 7,
B (=decimal 11), D (=decimal 13).
Note: you may assume the input is always correct or empty string,
and symbols A,B,C,D,E,F are always uppercase.
Examples:
For num = "AB" the output should be 1.
For num = "1077E" the output should be 2.
For num = "ABED1A33" the output should be 4.
For num = "123456789ABCDEF0" the output should be 6.
For num = "2020" the output should be 2.
"""
#[SOLUTION]
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
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("AB") == 1, "First test error: " + str(candidate("AB"))
assert candidate("1077E") == 2, "Second test error: " + str(candidate("1077E"))
assert candidate("ABED1A33") == 4, "Third test error: " + str(candidate("ABED1A33"))
assert candidate("2020") == 2, "Fourth test error: " + str(candidate("2020"))
assert candidate("123456789ABCDEF0") == 6, "Fifth test error: " + str(candidate("123456789ABCDEF0"))
assert candidate("112233445566778899AABBCCDDEEFF00") == 12, "Sixth test error: " + str(candidate("112233445566778899AABBCCDDEEFF00"))
# Check some edge cases that are easy to work out by hand.
assert candidate([]) == 0
|
ENTRY_POINT = 'add'
#[PROMPT]
def add(x: int, y: int):
"""Add two numbers x and y
>>> add(2, 3)
5
>>> add(5, 7)
12
"""
#[SOLUTION]
return x + y
#[CHECK]
METADATA = {}
def check(candidate):
import random
assert candidate(0, 1) == 1
assert candidate(1, 0) == 1
assert candidate(2, 3) == 5
assert candidate(5, 7) == 12
assert candidate(7, 5) == 12
for i in range(100):
x, y = random.randint(0, 1000), random.randint(0, 1000)
assert candidate(x, y) == x + y
|
ENTRY_POINT = 'vowels_count'
#[PROMPT]
FIX = """
Add more test cases.
"""
def vowels_count(s):
"""Write a function vowels_count which takes a string representing
a word as input and returns the number of vowels in the string.
Vowels in this case are 'a', 'e', 'i', 'o', 'u'. Here, 'y' is also a
vowel, but only when it is at the end of the given word.
Example:
>>> vowels_count("abcde")
2
>>> vowels_count("ACEDY")
3
"""
#[SOLUTION]
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
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("abcde") == 2, "Test 1"
assert candidate("Alone") == 3, "Test 2"
assert candidate("key") == 2, "Test 3"
assert candidate("bye") == 1, "Test 4"
assert candidate("keY") == 2, "Test 5"
assert candidate("bYe") == 1, "Test 6"
assert candidate("ACEDY") == 3, "Test 7"
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'generate_integers'
#[PROMPT]
def generate_integers(a, b):
"""
Given two positive integers a and b, return the even digits between a
and b, in ascending order.
For example:
generate_integers(2, 8) => [2, 4, 6, 8]
generate_integers(8, 2) => [2, 4, 6, 8]
generate_integers(10, 14) => []
"""
#[SOLUTION]
lower = max(2, min(a, b))
upper = min(8, max(a, b))
return [i for i in range(lower, upper+1) if i % 2 == 0]
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(2, 10) == [2, 4, 6, 8], "Test 1"
assert candidate(10, 2) == [2, 4, 6, 8], "Test 2"
assert candidate(132, 2) == [2, 4, 6, 8], "Test 3"
assert candidate(17,89) == [], "Test 4"
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'is_equal_to_sum_even'
#[PROMPT]
def is_equal_to_sum_even(n):
"""Evaluate whether the given number n can be written as the sum of exactly 4 positive even numbers
Example
is_equal_to_sum_even(4) == False
is_equal_to_sum_even(6) == False
is_equal_to_sum_even(8) == True
"""
#[SOLUTION]
return n%2 == 0 and n >= 8
#[CHECK]
def check(candidate):
assert candidate(4) == False
assert candidate(6) == False
assert candidate(8) == True
assert candidate(10) == True
assert candidate(11) == False
assert candidate(13) == False
|
ENTRY_POINT = 'correct_bracketing'
#[PROMPT]
def correct_bracketing(brackets: str):
""" 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
"""
#[SOLUTION]
depth = 0
for b in brackets:
if b == "<":
depth += 1
else:
depth -= 1
if depth < 0:
return False
return depth == 0
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate("<>")
assert candidate("<<><>>")
assert candidate("<><><<><>><>")
assert candidate("<><><<<><><>><>><<><><<>>>")
assert not candidate("<<<><>>>>")
assert not candidate("><<>")
assert not candidate("<")
assert not candidate("<<<<")
assert not candidate(">")
assert not candidate("<<>")
assert not candidate("<><><<><>><>><<>")
assert not candidate("<><><<><>><>>><>")
|
ENTRY_POINT = 'modp'
#[PROMPT]
def modp(n: int, p: int):
"""Return 2^n modulo p (be aware of numerics).
>>> modp(3, 5)
3
>>> modp(1101, 101)
2
>>> modp(0, 101)
1
>>> modp(3, 11)
8
>>> modp(100, 101)
1
"""
#[SOLUTION]
ret = 1
for i in range(n):
ret = (2 * ret) % p
return ret
#[CHECK]
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
|
ENTRY_POINT = 'cycpattern_check'
#[PROMPT]
def cycpattern_check(a , b):
"""You are given 2 words. You need to return True if the second word or any of its rotations is a substring in the first word
cycpattern_check("abcd","abd") => False
cycpattern_check("hello","ell") => True
cycpattern_check("whassup","psus") => False
cycpattern_check("abab","baa") => True
cycpattern_check("efef","eeff") => False
cycpattern_check("himenss","simen") => True
"""
#[SOLUTION]
l = len(b)
pat = b + b
for i in range(len(a) - l + 1):
for j in range(l + 1):
if a[i:i+l] == pat[j:j+l]:
return True
return False
#[CHECK]
def check(candidate):
# Check some simple cases
#assert True, "This prints if this assert fails 1 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
#assert True, "This prints if this assert fails 2 (also good for debugging!)"
assert candidate("abcd","abd") == False , "test #0"
assert candidate("hello","ell") == True , "test #1"
assert candidate("whassup","psus") == False , "test #2"
assert candidate("abab","baa") == True , "test #3"
assert candidate("efef","eeff") == False , "test #4"
assert candidate("himenss","simen") == True , "test #5"
|
ENTRY_POINT = 'rescale_to_unit'
#[PROMPT]
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
""" 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]
"""
#[SOLUTION]
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
#[CHECK]
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, 0.0, 1.0, 0.5, 0.75]
assert candidate([12.0, 11.0, 15.0, 13.0, 14.0]) == [0.25, 0.0, 1.0, 0.5, 0.75]
|
ENTRY_POINT = 'largest_divisor'
#[PROMPT]
def largest_divisor(n: int) -> int:
""" For a given number n, find the largest number that divides n evenly, smaller than n
>>> largest_divisor(15)
5
"""
#[SOLUTION]
for i in reversed(range(n)):
if n % i == 0:
return i
#[CHECK]
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
|
ENTRY_POINT = 'is_sorted'
#[PROMPT]
def is_sorted(lst):
'''
Given a list of numbers, return whether or not they are sorted
in ascending order. If list has more than 1 duplicate of the same
number, return False. Assume no negative numbers and only integers.
Examples
is_sorted([5]) ➞ True
is_sorted([1, 2, 3, 4, 5]) ➞ True
is_sorted([1, 3, 2, 4, 5]) ➞ False
is_sorted([1, 2, 3, 4, 5, 6]) ➞ True
is_sorted([1, 2, 3, 4, 5, 6, 7]) ➞ True
is_sorted([1, 3, 2, 4, 5, 6, 7]) ➞ False
is_sorted([1, 2, 2, 3, 3, 4]) ➞ True
is_sorted([1, 2, 2, 2, 3, 4]) ➞ False
'''
#[SOLUTION]
count_digit = dict([(i, 0) for i in lst])
for i in lst:
count_digit[i]+=1
if any(count_digit[i] > 2 for i in lst):
return False
if all(lst[i-1] <= lst[i] for i in range(1, len(lst))):
return True
else:
return False
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([5]) == True
assert candidate([1, 2, 3, 4, 5]) == True
assert candidate([1, 3, 2, 4, 5]) == False
assert candidate([1, 2, 3, 4, 5, 6]) == True
assert candidate([1, 2, 3, 4, 5, 6, 7]) == True
assert candidate([1, 3, 2, 4, 5, 6, 7]) == False, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([]) == True, "This prints if this assert fails 2 (good for debugging!)"
assert candidate([1]) == True, "This prints if this assert fails 3 (good for debugging!)"
assert candidate([3, 2, 1]) == False, "This prints if this assert fails 4 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate([1, 2, 2, 2, 3, 4]) == False, "This prints if this assert fails 5 (good for debugging!)"
assert candidate([1, 2, 2, 3, 3, 4]) == True, "This prints if this assert fails 6 (good for debugging!)"
assert candidate([1, 2, 3, 4]) == True, "This prints if this assert fails 7 (good for debugging!)"
|
ENTRY_POINT = 'make_palindrome'
#[PROMPT]
def is_palindrome(string: str) -> bool:
""" Test if given string is a palindrome """
return string == string[::-1]
def make_palindrome(string: str) -> str:
""" Find the shortest palindrome that begins with a supplied string.
Algorithm idea is simple:
- Find the longest postfix of supplied string that is a palindrome.
- Append to the end of the string reverse of a string prefix that comes before the palindromic suffix.
>>> make_palindrome('')
''
>>> make_palindrome('cat')
'catac'
>>> make_palindrome('cata')
'catac'
"""
#[SOLUTION]
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]
#[CHECK]
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'
|
ENTRY_POINT = 'simplify'
#[PROMPT]
def simplify(x, n):
"""Your task is to implement a function that will simplify the expression
x * n. The function returns True if x * n evaluates to a whole number and False
otherwise. Both x and n, are string representation of a fraction, and have the following format,
<numerator>/<denominator> where both numerator and denominator are positive whole numbers.
You can assume that x, and n are valid fractions, and do not have zero as denominator.
simplify("1/5", "5/1") = True
simplify("1/6", "2/1") = False
simplify("7/10", "10/2") = False
"""
#[SOLUTION]
a, b = x.split("/")
c, d = n.split("/")
numerator = int(a) * int(c)
denom = int(b) * int(d)
if (numerator/denom == int(numerator/denom)):
return True
return False
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("1/5", "5/1") == True, 'test1'
assert candidate("1/6", "2/1") == False, 'test2'
assert candidate("5/1", "3/1") == True, 'test3'
assert candidate("7/10", "10/2") == False, 'test4'
assert candidate("2/10", "50/10") == True, 'test5'
assert candidate("7/2", "4/2") == True, 'test6'
assert candidate("11/6", "6/1") == True, 'test7'
assert candidate("2/3", "5/2") == False, 'test8'
assert candidate("5/2", "3/5") == False, 'test9'
assert candidate("2/4", "8/4") == True, 'test10'
# Check some edge cases that are easy to work out by hand.
assert candidate("2/4", "4/2") == True, 'test11'
assert candidate("1/5", "5/1") == True, 'test12'
assert candidate("1/5", "1/5") == False, 'test13'
|
ENTRY_POINT = 'Strongest_Extension'
#[PROMPT]
def Strongest_Extension(class_name, extensions):
"""You will be given the name of a class (a string) and a list of extensions.
The extensions are to be used to load additional classes to the class. The
strength of the extension is as follows: Let CAP be the number of the uppercase
letters in the extension's name, and let SM be the number of lowercase letters
in the extension's name, the strength is given by the fraction CAP - SM.
You should find the strongest extension and return a string in this
format: ClassName.StrongestExtensionName.
If there are two or more extensions with the same strength, you should
choose the one that comes first in the list.
For example, if you are given "Slices" as the class and a list of the
extensions: ['SErviNGSliCes', 'Cheese', 'StuFfed'] then you should
return 'Slices.SErviNGSliCes' since 'SErviNGSliCes' is the strongest extension
(its strength is -1).
Example:
for Strongest_Extension('my_class', ['AA', 'Be', 'CC']) == 'my_class.AA'
"""
#[SOLUTION]
strong = extensions[0]
my_val = len([x for x in extensions[0] if x.isalpha() and x.isupper()]) - len([x for x in extensions[0] if x.isalpha() and x.islower()])
for s in extensions:
val = len([x for x in s if x.isalpha() and x.isupper()]) - len([x for x in s if x.isalpha() and x.islower()])
if val > my_val:
strong = s
my_val = val
ans = class_name + "." + strong
return ans
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('Watashi', ['tEN', 'niNE', 'eIGHt8OKe']) == 'Watashi.eIGHt8OKe'
assert candidate('Boku123', ['nani', 'NazeDa', 'YEs.WeCaNe', '32145tggg']) == 'Boku123.YEs.WeCaNe'
assert candidate('__YESIMHERE', ['t', 'eMptY', 'nothing', 'zeR00', 'NuLl__', '123NoooneB321']) == '__YESIMHERE.NuLl__'
assert candidate('K', ['Ta', 'TAR', 't234An', 'cosSo']) == 'K.TAR'
assert candidate('__HAHA', ['Tab', '123', '781345', '-_-']) == '__HAHA.123'
assert candidate('YameRore', ['HhAas', 'okIWILL123', 'WorkOut', 'Fails', '-_-']) == 'YameRore.okIWILL123'
assert candidate('finNNalLLly', ['Die', 'NowW', 'Wow', 'WoW']) == 'finNNalLLly.WoW'
# Check some edge cases that are easy to work out by hand.
assert candidate('_', ['Bb', '91245']) == '_.Bb'
assert candidate('Sp', ['671235', 'Bb']) == 'Sp.671235'
|
ENTRY_POINT = 'maximum'
#[PROMPT]
def maximum(arr, k):
"""
Given an array arr of integers and a positive integer k, return a sorted list
of length k with the maximum k numbers in arr.
Example 1:
Input: arr = [-3, -4, 5], k = 3
Output: [-4, -3, 5]
Example 2:
Input: arr = [4, -4, 4], k = 2
Output: [4, 4]
Example 3:
Input: arr = [-3, 2, 1, 2, -1, -2, 1], k = 1
Output: [2]
Note:
1. The length of the array will be in the range of [1, 1000].
2. The elements in the array will be in the range of [-1000, 1000].
3. 0 <= k <= len(arr)
"""
#[SOLUTION]
if k == 0:
return []
arr.sort()
ans = arr[-k:]
return ans
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([-3, -4, 5], 3) == [-4, -3, 5]
assert candidate([4, -4, 4], 2) == [4, 4]
assert candidate([-3, 2, 1, 2, -1, -2, 1], 1) == [2]
assert candidate([123, -123, 20, 0 , 1, 2, -3], 3) == [2, 20, 123]
assert candidate([-123, 20, 0 , 1, 2, -3], 4) == [0, 1, 2, 20]
assert candidate([5, 15, 0, 3, -13, -8, 0], 7) == [-13, -8, 0, 0, 3, 5, 15]
assert candidate([-1, 0, 2, 5, 3, -10], 2) == [3, 5]
assert candidate([1, 0, 5, -7], 1) == [5]
assert candidate([4, -4], 2) == [-4, 4]
assert candidate([-10, 10], 2) == [-10, 10]
# Check some edge cases that are easy to work out by hand.
assert candidate([1, 2, 3, -23, 243, -400, 0], 0) == []
|
ENTRY_POINT = 'by_length'
#[PROMPT]
def by_length(arr):
"""
Given an array of integers, if the number is an integer between 1 and 9 inclusive,
replace it by its corresponding name from "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", "Nine",
otherwise remove it, then sort the array and return a reverse of sorted array.
For example:
arr = [2, 1, 1, 4, 5, 8, 2, 3]
-> sort arr -> [1, 1, 2, 2, 3, 4, 5, 8]
-> reverse arr -> [8, 5, 4, 3, 2, 2, 1, 1]
return ["Eight", "Five", "Four", "Three", "Two", "Two", "One", "One"]
If the array is empty, return an empty array:
arr = []
return []
If the array has any strange number ignore it:
arr = [1, -1 , 55]
-> sort arr -> [-1, 1, 55]
-> reverse arr -> [55, 1, -1]
return = ['One']
"""
#[SOLUTION]
dic = {
1: "One",
2: "Two",
3: "Three",
4: "Four",
5: "Five",
6: "Six",
7: "Seven",
8: "Eight",
9: "Nine",
}
sorted_arr = sorted(arr, reverse=True)
new_arr = []
for var in sorted_arr:
try:
new_arr.append(dic[var])
except:
pass
return new_arr
#[CHECK]
def check(candidate):
# Check some simple cases
assert True, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([2, 1, 1, 4, 5, 8, 2, 3]) == ["Eight", "Five", "Four", "Three", "Two", "Two", "One", "One"], "Error"
assert candidate([]) == [], "Error"
assert candidate([1, -1 , 55]) == ['One'], "Error"
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
assert candidate([1, -1, 3, 2]) == ["Three", "Two", "One"]
assert candidate([9, 4, 8]) == ["Nine", "Eight", "Four"]
|
ENTRY_POINT = 'string_to_md5'
#[PROMPT]
def string_to_md5(text):
"""
Given a string 'text', return its md5 hash equivalent string.
If 'text' is an empty string, return None.
>>> string_to_md5('Hello world') == '3e25960a79dbc69b674cd4ec67a72c62'
"""
#[SOLUTION]
import hashlib
return hashlib.md5(text.encode('ascii')).hexdigest() if text else None
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('Hello world') == '3e25960a79dbc69b674cd4ec67a72c62'
assert candidate('') == None
assert candidate('A B C') == '0ef78513b0cb8cef12743f5aeb35f888'
assert candidate('password') == '5f4dcc3b5aa765d61d8327deb882cf99'
# Check some edge cases that are easy to work out by hand.
assert True
|
ENTRY_POINT = 'sort_array'
#[PROMPT]
def sort_array(array):
"""
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 change the given array.
Examples:
* sort_array([]) => []
* sort_array([5]) => [5]
* sort_array([2, 4, 3, 0, 1, 5]) => [0, 1, 2, 3, 4, 5]
* sort_array([2, 4, 3, 0, 1, 5, 6]) => [6, 5, 4, 3, 2, 1, 0]
"""
#[SOLUTION]
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
#[CHECK]
def check(candidate):
# Check some simple cases
assert True, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([]) == [], "Error"
assert candidate([5]) == [5], "Error"
assert candidate([2, 4, 3, 0, 1, 5]) == [0, 1, 2, 3, 4, 5], "Error"
assert candidate([2, 4, 3, 0, 1, 5, 6]) == [6, 5, 4, 3, 2, 1, 0], "Error"
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
assert candidate([2, 1]) == [1, 2], "Error"
assert candidate([15, 42, 87, 32 ,11, 0]) == [0, 11, 15, 32, 42, 87], "Error"
assert candidate([21, 14, 23, 11]) == [23, 21, 14, 11], "Error"
|
ENTRY_POINT = 'parse_music'
#[PROMPT]
from typing import List
def parse_music(music_string: str) -> List[int]:
""" 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
'.|' - quater note, lasts one beat
>>> parse_music('o o| .| o| o| .| .| .| .| o o')
[4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]
"""
#[SOLUTION]
note_map = {'o': 4, 'o|': 2, '.|': 1}
return [note_map[x] for x in music_string.split(' ') if x]
#[CHECK]
METADATA = {
'author': 'jt',
'dataset': 'test'
}
def check(candidate):
assert candidate('') == []
assert candidate('o o o o') == [4, 4, 4, 4]
assert candidate('.| .| .| .|') == [1, 1, 1, 1]
assert candidate('o| o| .| .| o o o o') == [2, 2, 1, 1, 4, 4, 4, 4]
assert candidate('o| .| o| .| o o| o o|') == [2, 1, 2, 1, 4, 2, 4, 2]
|
ENTRY_POINT = 'largest_smallest_integers'
#[PROMPT]
def largest_smallest_integers(lst):
'''
Create a function that returns a tuple (a, b), where 'a' is
the largest of negative integers, and 'b' is the smallest
of positive integers in a list.
If there is no negative or positive integers, return them as None.
Examples:
largest_smallest_integers([2, 4, 1, 3, 5, 7]) == (None, 1)
largest_smallest_integers([]) == (None, None)
largest_smallest_integers([0]) == (None, None)
'''
#[SOLUTION]
smallest = list(filter(lambda x: x < 0, lst))
largest = list(filter(lambda x: x > 0, lst))
return (max(smallest) if smallest else None, min(largest) if largest else None)
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([2, 4, 1, 3, 5, 7]) == (None, 1)
assert candidate([1, 3, 2, 4, 5, 6, -2]) == (-2, 1)
assert candidate([4, 5, 3, 6, 2, 7, -7]) == (-7, 2)
assert candidate([7, 3, 8, 4, 9, 2, 5, -9]) == (-9, 2)
assert candidate([]) == (None, None)
assert candidate([0]) == (None, None)
assert candidate([-1, -3, -5, -6]) == (-1, None)
assert candidate([-6, -4, -4, -3, 1]) == (-3, 1)
assert candidate([-6, -4, -4, -3, -100, 1]) == (-3, 1)
# Check some edge cases that are easy to work out by hand.
assert True
|
ENTRY_POINT = 'do_algebra'
#[PROMPT]
def do_algebra(operator, operand):
"""
Given two lists operator, and operand. The first list has basic algebra operations, and
the second list is a list of integers. Use the two given lists to build the algebric
expression and return the evaluation of this expression.
The basic algebra operations:
Addition ( + )
Subtraction ( - )
Multiplication ( * )
Floor division ( // )
Exponentiation ( ** )
Example:
operator['+', '*', '-']
array = [2, 3, 4, 5]
result = 2 + 3 * 4 - 5
=> result = 9
Note:
The length of operator list is equal to the length of operand list minus one.
Operand is a list of of non-negative integers.
Operator list has at least one operator, and operand list has at least two operands.
"""
#[SOLUTION]
expression = str(operand[0])
for oprt, oprn in zip(operator, operand[1:]):
expression+= oprt + str(oprn)
return eval(expression)
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(['**', '*', '+'], [2, 3, 4, 5]) == 37
assert candidate(['+', '*', '-'], [2, 3, 4, 5]) == 9
assert candidate(['//', '*'], [7, 3, 4]) == 8, "This prints if this assert fails 1 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'intersection'
#[PROMPT]
def intersection(interval1, interval2):
"""You are given two intervals,
where each interval is a pair of integers. For example, interval = (start, end) = (1, 2).
The given intervals are closed which means that the interval (start, end)
includes both start and end.
For each given interval, it is assumed that its start is less or equal its end.
Your task is to determine whether the length of intersection of these two
intervals is a prime number.
Example, the intersection of the intervals (1, 3), (2, 4) is (2, 3)
which its length is 1, which not a prime number.
If the length of the intersection is a prime number, return "YES",
otherwise, return "NO".
If the two intervals don't intersect, return "NO".
[input/output] samples:
intersection((1, 2), (2, 3)) ==> "NO"
intersection((-1, 1), (0, 4)) ==> "NO"
intersection((-3, -1), (-5, 5)) ==> "YES"
"""
#[SOLUTION]
def is_prime(num):
if num == 1 or num == 0:
return False
if num == 2:
return True
for i in range(2, num):
if num%i == 0:
return False
return True
l = max(interval1[0], interval2[0])
r = min(interval1[1], interval2[1])
length = r - l
if length > 0 and is_prime(length):
return "YES"
return "NO"
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate((1, 2), (2, 3)) == "NO"
assert candidate((-1, 1), (0, 4)) == "NO"
assert candidate((-3, -1), (-5, 5)) == "YES"
assert candidate((-2, 2), (-4, 0)) == "YES"
# Check some edge cases that are easy to work out by hand.
assert candidate((-11, 2), (-1, -1)) == "NO"
assert candidate((1, 2), (3, 5)) == "NO"
assert candidate((1, 2), (1, 2)) == "NO"
assert candidate((-2, -2), (-3, -2)) == "NO"
|
ENTRY_POINT = 'string_xor'
#[PROMPT]
from typing import List
def string_xor(a: str, b: str) -> str:
""" 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'
"""
#[SOLUTION]
def xor(i, j):
if i == j:
return '0'
else:
return '1'
return ''.join(xor(x, y) for x, y in zip(a, b))
#[CHECK]
METADATA = {
'author': 'jt',
'dataset': 'test'
}
def check(candidate):
assert candidate('111000', '101010') == '010010'
assert candidate('1', '1') == '0'
assert candidate('0101', '0000') == '0101'
|
ENTRY_POINT = 'triples_sum_to_zero'
FIX = """
Fix the bug of allowing reuse elements.
"""
#[PROMPT]
def triples_sum_to_zero(l: list):
"""
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])
False
>>> triples_sum_to_zero([2, 4, -5, 3, 9, 7])
True
>>> triples_sum_to_zero([1])
False
"""
#[SOLUTION]
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
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate([1, 3, 5, 0]) == False
assert candidate([1, 3, 5, -1]) == False
assert candidate([1, 3, -2, 1]) == True
assert candidate([1, 2, 3, 7]) == False
assert candidate([1, 2, 5, 7]) == False
assert candidate([2, 4, -5, 3, 9, 7]) == True
assert candidate([1]) == False
assert candidate([1, 3, 5, -100]) == False
assert candidate([100, 3, 5, -100]) == False
|
ENTRY_POINT = 'fibfib'
#[PROMPT]
def fibfib(n: int):
"""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.
>>> fibfib(1)
0
>>> fibfib(5)
4
>>> fibfib(8)
24
"""
#[SOLUTION]
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)
#[CHECK]
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
|
ENTRY_POINT = 'is_palindrome'
#[PROMPT]
def is_palindrome(text: str):
"""
Checks if given string is a palindrome
>>> is_palindrome('')
True
>>> is_palindrome('aba')
True
>>> is_palindrome('aaaaa')
True
>>> is_palindrome('zbcd')
False
"""
#[SOLUTION]
for i in range(len(text)):
if text[i] != text[len(text) - 1 - i]:
return False
return True
#[CHECK]
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
|
ENTRY_POINT = 'anti_shuffle'
#[PROMPT]
def anti_shuffle(s):
"""
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 spaces in the sentence.
For example:
anti_shuffle('Hi') returns 'Hi'
anti_shuffle('hello') returns 'ehllo'
anti_shuffle('Hello World!!!') returns 'Hello !!!Wdlor'
"""
#[SOLUTION]
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('Hi') == 'Hi'
assert candidate('hello') == 'ehllo'
assert candidate('number') == 'bemnru'
assert candidate('abcd') == 'abcd'
assert candidate('Hello World!!!') == 'Hello !!!Wdlor'
assert candidate('') == ''
assert candidate('Hi. My name is Mister Robot. How are you?') == '.Hi My aemn is Meirst .Rboot How aer ?ouy'
# Check some edge cases that are easy to work out by hand.
assert True
|
ENTRY_POINT = 'even_odd_palindrome'
#[PROMPT]
def even_odd_palindrome(n):
"""
Given a positive integer n, return a tuple that has the number of even and odd
integer palindromes that fall within the range(1, n), inclusive.
Example 1:
Input: 3
Output: (1, 2)
Explanation:
Integer palindrome are 1, 2, 3. one of them is even, and two of them are odd.
Example 2:
Input: 12
Output: (4, 6)
Explanation:
Integer palindrome are 1, 2, 3, 4, 5, 6, 7, 8, 9, 11. four of them are even, and 6 of them are odd.
Note:
1. 1 <= n <= 10^3
2. returned tuple has the number of even and odd integer palindromes respectively.
"""
#[SOLUTION]
def is_palindrome(n):
return str(n) == str(n)[::-1]
even_palindrome_count = 0
odd_palindrome_count = 0
for i in range(1, n+1):
if i%2 == 1 and is_palindrome(i):
odd_palindrome_count += 1
elif i%2 == 0 and is_palindrome(i):
even_palindrome_count += 1
return (even_palindrome_count, odd_palindrome_count)
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(123) == (8, 13)
assert candidate(12) == (4, 6)
assert candidate(3) == (1, 2)
assert candidate(63) == (6, 8)
assert candidate(25) == (5, 6)
assert candidate(19) == (4, 6)
assert candidate(9) == (4, 5), "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), "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'largest_prime_factor'
FIX = """
Clarifies that n > 1 and is not a prime number.
"""
#[PROMPT]
def largest_prime_factor(n: int):
"""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
"""
#[SOLUTION]
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
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate(15) == 5
assert candidate(27) == 3
assert candidate(63) == 7
assert candidate(330) == 11
assert candidate(13195) == 29
|
ENTRY_POINT = 'string_sequence'
#[PROMPT]
def string_sequence(n: int) -> str:
""" 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'
"""
#[SOLUTION]
return ' '.join([str(x) for x in range(n + 1)])
#[CHECK]
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'
|
ENTRY_POINT = 'rounded_avg'
#[PROMPT]
def rounded_avg(n, m):
"""You are given two positive integers n and m, and your task is to compute the
average of the integers from n through m (including n and m).
Round the answer to the nearest integer and convert that to binary.
If n is greater than m, return -1.
Example:
rounded_avg(1, 5) => "0b11"
rounded_avg(7, 5) => -1
rounded_avg(10, 20) => "0b1111"
rounded_avg(20, 33) => "0b11010"
"""
#[SOLUTION]
if m < n:
return -1
summation = 0
for i in range(n, m+1):
summation += i
return bin(round(summation/(m - n + 1)))
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(1, 5) == "0b11"
assert candidate(7, 13) == "0b1010"
assert candidate(964,977) == "0b1111001010"
assert candidate(996,997) == "0b1111100100"
assert candidate(560,851) == "0b1011000010"
assert candidate(185,546) == "0b101101110"
assert candidate(362,496) == "0b110101101"
assert candidate(350,902) == "0b1001110010"
assert candidate(197,233) == "0b11010111"
# Check some edge cases that are easy to work out by hand.
assert candidate(7, 5) == -1
assert candidate(5, 1) == -1
assert candidate(5, 5) == "0b101"
|
ENTRY_POINT = 'unique'
#[PROMPT]
def unique(l: list):
"""Return sorted unique elements in a list
>>> unique([5, 3, 5, 2, 3, 3, 9, 0, 123])
[0, 2, 3, 5, 9, 123]
"""
#[SOLUTION]
return sorted(list(set(l)))
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate([5, 3, 5, 2, 3, 3, 9, 0, 123]) == [0, 2, 3, 5, 9, 123]
|
ENTRY_POINT = 'is_multiply_prime'
FIX = """
Fix incorrect is_prime function
Add more tests
"""
#[PROMPT]
def is_multiply_prime(a):
"""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
"""
#[SOLUTION]
def is_prime(n):
for j in range(2,n):
if n%j == 0:
return False
return True
for i in range(2,101):
if not is_prime(i): continue
for j in range(2,101):
if not is_prime(j): continue
for k in range(2,101):
if not is_prime(k): continue
if i*j*k == a: return True
return False
#[CHECK]
def check(candidate):
assert candidate(5) == False
assert candidate(30) == True
assert candidate(8) == True
assert candidate(10) == False
assert candidate(125) == True
assert candidate(3 * 5 * 7) == True
assert candidate(3 * 6 * 7) == False
assert candidate(9 * 9 * 9) == False
assert candidate(11 * 9 * 9) == False
assert candidate(11 * 13 * 7) == True
|
ENTRY_POINT = 'tri'
#[PROMPT]
def tri(n):
"""Everyone knows Fibonacci sequence, it was studied deeply by mathematicians in
the last couple centuries. However, what people don't know is Tribonacci sequence.
Tribonacci sequence is defined by the recurrence:
tri(1) = 3
tri(n) = 1 + n / 2, if n is even.
tri(n) = tri(n - 1) + tri(n - 2) + tri(n + 1), if n is odd.
For example:
tri(2) = 1 + (2 / 2) = 2
tri(4) = 3
tri(3) = tri(2) + tri(1) + tri(4)
= 2 + 3 + 3 = 8
You are given a non-negative integer number n, you have to a return a list of the
first n + 1 numbers of the Tribonacci sequence.
Examples:
tri(3) = [1, 3, 2, 8]
"""
#[SOLUTION]
if n == 0:
return [1]
my_tri = [1, 3]
for i in range(2, n + 1):
if i % 2 == 0:
my_tri.append(i / 2 + 1)
else:
my_tri.append(my_tri[i - 1] + my_tri[i - 2] + (i + 3) / 2)
return my_tri
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(3) == [1, 3, 2.0, 8.0]
assert candidate(4) == [1, 3, 2.0, 8.0, 3.0]
assert candidate(5) == [1, 3, 2.0, 8.0, 3.0, 15.0]
assert candidate(6) == [1, 3, 2.0, 8.0, 3.0, 15.0, 4.0]
assert candidate(7) == [1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0]
assert candidate(8) == [1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0]
assert candidate(9) == [1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0]
assert candidate(20) == [1, 3, 2.0, 8.0, 3.0, 15.0, 4.0, 24.0, 5.0, 35.0, 6.0, 48.0, 7.0, 63.0, 8.0, 80.0, 9.0, 99.0, 10.0, 120.0, 11.0]
# Check some edge cases that are easy to work out by hand.
assert candidate(0) == [1]
assert candidate(1) == [1, 3]
|
ENTRY_POINT = 'has_close_elements'
#[PROMPT]
from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
""" Check if in given list of numbers, are any two numbers closer 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
"""
#[SOLUTION]
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]
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, 5.0], 0.8) == False
assert candidate([1.0, 2.0, 3.0, 4.0, 5.0, 2.0], 0.1) == True
assert candidate([1.1, 2.2, 3.1, 4.1, 5.1], 1.0) == True
assert candidate([1.1, 2.2, 3.1, 4.1, 5.1], 0.5) == False
|
ENTRY_POINT = 'get_closest_vowel'
#[PROMPT]
def get_closest_vowel(word):
"""You are given a word. Your task is to find the closest vowel that stands between
two consonants from the right side of the word (case sensitive).
Vowels in the beginning and ending doesn't count. Return empty string if you didn't
find any vowel met the above condition.
You may assume that the given string contains English letter only.
Example:
get_closest_vowel("yogurt") ==> "u"
get_closest_vowel("FULL") ==> "U"
get_closest_vowel("quick") ==> ""
get_closest_vowel("ab") ==> ""
"""
#[SOLUTION]
if len(word) < 3:
return ""
vowels = {"a", "e", "i", "o", "u", "A", "E", 'O', 'U', 'I'}
for i in range(len(word)-2, 0, -1):
if word[i] in vowels:
if (word[i+1] not in vowels) and (word[i-1] not in vowels):
return word[i]
return ""
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("yogurt") == "u"
assert candidate("full") == "u"
assert candidate("easy") == ""
assert candidate("eAsy") == ""
assert candidate("ali") == ""
assert candidate("bad") == "a"
assert candidate("most") == "o"
assert candidate("ab") == ""
assert candidate("ba") == ""
assert candidate("quick") == ""
assert candidate("anime") == "i"
assert candidate("Asia") == ""
assert candidate("anime") == "i"
assert candidate("Above") == "o"
# Check some edge cases that are easy to work out by hand.
assert True
|
ENTRY_POINT = 'compare_one'
#[PROMPT]
def compare_one(a, b):
"""
Create a function that takes integers, floats, or strings representing
real numbers, and returns the larger variable in its given variable type.
Return None if the values are equal.
Note: If a real number is represented as a string, the floating point might be . or ,
compare_one(1, 2.5) ➞ 2.5
compare_one(1, "2,3") ➞ "2,3"
compare_one("5,1", "6") ➞ "6"
compare_one("1", 1) ➞ None
"""
#[SOLUTION]
temp_a, temp_b = a, b
if isinstance(temp_a, str): temp_a = temp_a.replace(',','.')
if isinstance(temp_b, str): temp_b = temp_b.replace(',','.')
if float(temp_a) == float(temp_b): return None
return a if float(temp_a) > float(temp_b) else b
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(1, 2) == 2
assert candidate(1, 2.5) == 2.5
assert candidate(2, 3) == 3
assert candidate(5, 6) == 6
assert candidate(1, "2,3") == "2,3"
assert candidate("5,1", "6") == "6"
assert candidate("1", "2") == "2"
assert candidate("1", 1) == None
# Check some edge cases that are easy to work out by hand.
assert True
|
ENTRY_POINT = 'find_closest_elements'
#[PROMPT]
from typing import List, Tuple
def find_closest_elements(numbers: List[float]) -> Tuple[float, float]:
""" From a supplied list of numbers (of length at least two) select 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])
(2.0, 2.0)
"""
#[SOLUTION]
closest_pair = None
distance = None
for idx, elem in enumerate(numbers):
for idx2, elem2 in enumerate(numbers):
if idx != idx2:
if distance is None:
distance = abs(elem - elem2)
closest_pair = tuple(sorted([elem, elem2]))
else:
new_distance = abs(elem - elem2)
if new_distance < distance:
distance = new_distance
closest_pair = tuple(sorted([elem, elem2]))
return closest_pair
#[CHECK]
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, 5.0, 2.0]) == (2.0, 2.0)
assert candidate([1.1, 2.2, 3.1, 4.1, 5.1]) == (2.2, 3.1)
|
ENTRY_POINT = 'intersperse'
#[PROMPT]
from typing import List
def intersperse(numbers: List[int], delimeter: int) -> List[int]:
""" 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]
"""
#[SOLUTION]
if not numbers:
return []
result = []
for n in numbers[:-1]:
result.append(n)
result.append(delimeter)
result.append(numbers[-1])
return result
#[CHECK]
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]
|
ENTRY_POINT = 'smallest_change'
#[PROMPT]
def smallest_change(arr):
"""
Given an array arr of integers, find the minimum number of elements that
need to be changed to make the array palindromic. A palindromic array is an array that
is read the same backwards and forwards. In one change, you can change one element to any other element.
For example:
smallest_change([1,2,3,5,4,7,9,6]) == 4
smallest_change([1, 2, 3, 4, 3, 2, 2]) == 1
smallest_change([1, 2, 3, 2, 1]) == 0
"""
#[SOLUTION]
ans = 0
for i in range(len(arr) // 2):
if arr[i] != arr[len(arr) - i - 1]:
ans += 1
return ans
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([1,2,3,5,4,7,9,6]) == 4
assert candidate([1, 2, 3, 4, 3, 2, 2]) == 1
assert candidate([1, 4, 2]) == 1
assert candidate([1, 4, 4, 2]) == 1
# Check some edge cases that are easy to work out by hand.
assert candidate([1, 2, 3, 2, 1]) == 0
assert candidate([3, 1, 1, 3]) == 0
assert candidate([1]) == 0
assert candidate([0, 1]) == 1
|
ENTRY_POINT = 'check_dict_case'
#[PROMPT]
def check_dict_case(dict):
"""
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", "A":"banana", "B":"banana"}) should return False.
check_dict_case({"a":"apple", 8:"banana", "a":"apple"}) should return False.
check_dict_case({"Name":"John", "Age":"36", "City":"Houston"}) should return False.
check_dict_case({"STATE":"NC", "ZIP":"12345" }) should return True.
"""
#[SOLUTION]
if len(dict.keys()) == 0:
return False
else:
state = "start"
for key in dict.keys():
if isinstance(key, str) == False:
state = "mixed"
break
if state == "start":
if key.isupper():
state = "upper"
elif key.islower():
state = "lower"
else:
break
elif (state == "upper" and not key.isupper()) or (state == "lower" and not key.islower()):
state = "mixed"
break
else:
break
return state == "upper" or state == "lower"
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate({"a":"apple", "b":"banana"}) == True, "First test error: " + str(candidate({"a":"apple", "b":"banana"}))
assert candidate({"a":"apple", "A":"banana", "B":"banana"}) == False, "Second test error: " + str(candidate({"a":"apple", "A":"banana", "B":"banana"}))
assert candidate({"a":"apple", 8:"banana", "a":"apple"}) == False, "Third test error: " + str(candidate({"a":"apple", 8:"banana", "a":"apple"}))
assert candidate({"Name":"John", "Age":"36", "City":"Houston"}) == False, "Fourth test error: " + str(candidate({"Name":"John", "Age":"36", "City":"Houston"}))
assert candidate({"STATE":"NC", "ZIP":"12345" }) == True, "Fifth test error: " + str(candidate({"STATE":"NC", "ZIP":"12345" }))
assert candidate({"fruit":"Orange", "taste":"Sweet" }) == True, "Fourth test error: " + str(candidate({"fruit":"Orange", "taste":"Sweet" }))
# Check some edge cases that are easy to work out by hand.
assert candidate({}) == False, "1st edge test error: " + str(candidate({}))
|
ENTRY_POINT = 'count_upper'
#[PROMPT]
def count_upper(s):
"""
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
"""
#[SOLUTION]
count = 0
for i in range(0,len(s),2):
if s[i] in "AEIOU":
count += 1
return count
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('aBCdEf') == 1
assert candidate('abcdefg') == 0
assert candidate('dBBE') == 0
assert candidate('B') == 0
assert candidate('U') == 1
assert candidate('') == 0
assert candidate('EEEE') == 2
# Check some edge cases that are easy to work out by hand.
assert True
|
ENTRY_POINT = 'digits'
#[PROMPT]
def digits(n):
"""Given a positive integer n, return the product of the odd digits.
Return 0 if all digits are even.
For example:
digits(1) == 1
digits(4) == 0
digits(235) == 15
"""
#[SOLUTION]
product = 1
odd_count = 0
for digit in str(n):
int_digit = int(digit)
if int_digit%2 == 1:
product= product*int_digit
odd_count+=1
if odd_count ==0:
return 0
else:
return product
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(5) == 5
assert candidate(54) == 5
assert candidate(120) ==1
assert candidate(5014) == 5
assert candidate(98765) == 315
assert candidate(5576543) == 2625
# Check some edge cases that are easy to work out by hand.
assert candidate(2468) == 0
|
ENTRY_POINT = 'remove_duplicates'
#[PROMPT]
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
""" 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]
"""
#[SOLUTION]
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
#[CHECK]
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]
|
ENTRY_POINT = 'select_words'
FIX = """
Make vowel check case insensitive.
"""
#[PROMPT]
def select_words(s, n):
"""Given a string s and a natural number n, you have been tasked to implement
a function that returns a list of all words from string s that contain exactly
n consonants, in order these words appear in the string s.
If the string s is empty then the function should return an empty list.
Note: you may assume the input string contains only letters and spaces.
Examples:
select_words("Mary had a little lamb", 4) ==> ["little"]
select_words("Mary had a little lamb", 3) ==> ["Mary", "lamb"]
select_words("simple white space", 2) ==> []
select_words("Hello world", 4) ==> ["world"]
select_words("Uncle sam", 3) ==> ["Uncle"]
"""
#[SOLUTION]
result = []
for word in s.split():
n_consonants = 0
for i in range(0, len(word)):
if word[i].lower() not in ["a","e","i","o","u"]:
n_consonants += 1
if n_consonants == n:
result.append(word)
return result
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("Mary had a little lamb", 4) == ["little"], "First test error: " + str(candidate("Mary had a little lamb", 4))
assert candidate("Mary had a little lamb", 3) == ["Mary", "lamb"], "Second test error: " + str(candidate("Mary had a little lamb", 3))
assert candidate("simple white space", 2) == [], "Third test error: " + str(candidate("simple white space", 2))
assert candidate("Hello world", 4) == ["world"], "Fourth test error: " + str(candidate("Hello world", 4))
assert candidate("Uncle sam", 3) == ["Uncle"], "Fifth test error: " + str(candidate("Uncle sam", 3))
# Check some edge cases that are easy to work out by hand.
assert candidate("", 4) == [], "1st edge test error: " + str(candidate("", 4))
assert candidate("a b c d e f", 1) == ["b", "c", "d", "f"], "2nd edge test error: " + str(candidate("a b c d e f", 1))
|
ENTRY_POINT = 'order_by_points'
#[PROMPT]
def order_by_points(nums):
"""
Write a function which sorts the given list of integers
in ascending order according to the sum of their digits.
Note: if there are several items with similar sum of their digits,
order them based on their index in original list.
For example:
>>> order_by_points([1, 11, -1, -11, -12]) == [-1, -11, 1, -12, 11]
>>> order_by_points([]) == []
"""
#[SOLUTION]
def digits_sum(n):
neg = 1
if n < 0: n, neg = -1 * n, -1
n = [int(i) for i in str(n)]
n[0] = n[0] * neg
return sum(n)
return sorted(nums, key=digits_sum)
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([1, 11, -1, -11, -12]) == [-1, -11, 1, -12, 11]
assert candidate([1234,423,463,145,2,423,423,53,6,37,3457,3,56,0,46]) == [0, 2, 3, 6, 53, 423, 423, 423, 1234, 145, 37, 46, 56, 463, 3457]
assert candidate([]) == []
assert candidate([1, -11, -32, 43, 54, -98, 2, -3]) == [-3, -32, -98, -11, 1, 2, 43, 54]
assert candidate([1,2,3,4,5,6,7,8,9,10,11]) == [1, 10, 2, 11, 3, 4, 5, 6, 7, 8, 9]
assert candidate([0,6,6,-76,-21,23,4]) == [-76, -21, 0, 4, 23, 6, 6]
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'below_threshold'
#[PROMPT]
def below_threshold(l: list, t: int):
"""Return True if all numbers in the list l are below threshold t.
>>> below_threshold([1, 2, 4, 10], 100)
True
>>> below_threshold([1, 20, 4, 10], 5)
False
"""
#[SOLUTION]
for e in l:
if e >= t:
return False
return True
#[CHECK]
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)
|
ENTRY_POINT = 'truncate_number'
#[PROMPT]
def truncate_number(number: float) -> float:
""" 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
"""
#[SOLUTION]
return number % 1.0
#[CHECK]
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
|
ENTRY_POINT = 'below_zero'
#[PROMPT]
from typing import List
def below_zero(operations: List[int]) -> bool:
""" You're given a list of deposit and withdrawal operations on a bank 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
>>> below_zero([1, 2, -4, 5])
True
"""
#[SOLUTION]
balance = 0
for op in operations:
balance += op
if balance < 0:
return True
return False
#[CHECK]
METADATA = {
'author': 'jt',
'dataset': 'test'
}
def check(candidate):
assert candidate([]) == False
assert candidate([1, 2, -3, 1, 2, -3]) == False
assert candidate([1, 2, -4, 5, 6]) == True
assert candidate([1, -1, 2, -2, 5, -5, 4, -4]) == False
assert candidate([1, -1, 2, -2, 5, -5, 4, -5]) == True
assert candidate([1, -2, 2, -2, 5, -5, 4, -4]) == True
|
ENTRY_POINT = 'how_many_times'
#[PROMPT]
def how_many_times(string: str, substring: str) -> int:
""" 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
"""
#[SOLUTION]
times = 0
for i in range(len(string) - len(substring) + 1):
if string[i:i+len(substring)] == substring:
times += 1
return times
#[CHECK]
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
|
ENTRY_POINT = 'fib'
#[PROMPT]
def fib(n: int):
"""Return n-th Fibonacci number.
>>> fib(10)
55
>>> fib(1)
1
>>> fib(8)
21
"""
#[SOLUTION]
if n == 0:
return 0
if n == 1:
return 1
return fib(n - 1) + fib(n - 2)
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate(10) == 55
assert candidate(1) == 1
assert candidate(8) == 21
|
ENTRY_POINT = 'find_max'
#[PROMPT]
def find_max(words):
"""Write a function that accepts a list of strings.
The list contains different words. Return the word with maximum number
of unique characters. If multiple strings have maximum number of unique
characters, return the one which comes first in lexicographical order.
find_max(["name", "of", "string"]) == "string"
find_max(["name", "enam", "game"]) == "enam"
find_max(["aaaaaaa", "bb" ,"cc"]) == ""aaaaaaa"
"""
#[SOLUTION]
return sorted(words, key = lambda x: (-len(set(x)), x))[0]
#[CHECK]
def check(candidate):
# Check some simple cases
assert (candidate(["name", "of", "string"]) == "string"), "t1"
assert (candidate(["name", "enam", "game"]) == "enam"), 't2'
assert (candidate(["aaaaaaa", "bb", "cc"]) == "aaaaaaa"), 't3'
assert (candidate(["abc", "cba"]) == "abc"), 't4'
assert (candidate(["play", "this", "game", "of","footbott"]) == "footbott"), 't5'
assert (candidate(["we", "are", "gonna", "rock"]) == "gonna"), 't6'
assert (candidate(["we", "are", "a", "mad", "nation"]) == "nation"), 't7'
assert (candidate(["this", "is", "a", "prrk"]) == "this"), 't8'
# Check some edge cases that are easy to work out by hand.
assert (candidate(["b"]) == "b"), 't9'
assert (candidate(["play", "play", "play"]) == "play"), 't10'
|
ENTRY_POINT = 'total_match'
FIX = """
Add test case when two list have equal number of chars.
"""
#[PROMPT]
def total_match(lst1, lst2):
'''
Write a function that accepts two lists of strings and returns the list that has
total number of chars in the all strings of the list less than the other list.
if the two lists have the same number of chars, return the first list.
Examples
total_match([], []) ➞ []
total_match(['hi', 'admin'], ['hI', 'Hi']) ➞ ['hI', 'Hi']
total_match(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) ➞ ['hi', 'admin']
total_match(['hi', 'admin'], ['hI', 'hi', 'hi']) ➞ ['hI', 'hi', 'hi']
total_match(['4'], ['1', '2', '3', '4', '5']) ➞ ['4']
'''
#[SOLUTION]
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
#[CHECK]
def check(candidate):
# Check some simple cases
assert True, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([], []) == []
assert candidate(['hi', 'admin'], ['hi', 'hi']) == ['hi', 'hi']
assert candidate(['hi', 'admin'], ['hi', 'hi', 'admin', 'project']) == ['hi', 'admin']
assert candidate(['4'], ['1', '2', '3', '4', '5']) == ['4']
assert candidate(['hi', 'admin'], ['hI', 'Hi']) == ['hI', 'Hi']
assert candidate(['hi', 'admin'], ['hI', 'hi', 'hi']) == ['hI', 'hi', 'hi']
assert candidate(['hi', 'admin'], ['hI', 'hi', 'hii']) == ['hi', 'admin']
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
assert candidate([], ['this']) == []
assert candidate(['this'], []) == []
|
ENTRY_POINT = 'max_fill'
#[PROMPT]
def max_fill(grid, capacity):
import math
"""
You are given a rectangular grid of wells. Each row represents a single well,
and each 1 in a row represents a single unit of water.
Each well has a corresponding bucket that can be used to extract water from it,
and all buckets have the same capacity.
Your task is to use the buckets to empty the wells.
Output the number of times you need to lower the buckets.
Example 1:
Input:
grid : [[0,0,1,0], [0,1,0,0], [1,1,1,1]]
bucket_capacity : 1
Output: 6
Example 2:
Input:
grid : [[0,0,1,1], [0,0,0,0], [1,1,1,1], [0,1,1,1]]
bucket_capacity : 2
Output: 5
Example 3:
Input:
grid : [[0,0,0], [0,0,0]]
bucket_capacity : 5
Output: 0
Constraints:
* all wells have the same length
* 1 <= grid.length <= 10^2
* 1 <= grid[:,1].length <= 10^2
* grid[i][j] -> 0 | 1
* 1 <= capacity <= 10
"""
#[SOLUTION]
return sum([math.ceil(sum(arr)/capacity) for arr in grid])
#[CHECK]
def check(candidate):
# Check some simple cases
assert True, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([[0,0,1,0], [0,1,0,0], [1,1,1,1]], 1) == 6, "Error"
assert candidate([[0,0,1,1], [0,0,0,0], [1,1,1,1], [0,1,1,1]], 2) == 5, "Error"
assert candidate([[0,0,0], [0,0,0]], 5) == 0, "Error"
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
assert candidate([[1,1,1,1], [1,1,1,1]], 2) == 4, "Error"
assert candidate([[1,1,1,1], [1,1,1,1]], 9) == 2, "Error"
|
ENTRY_POINT = 'encrypt'
#[PROMPT]
def encrypt(s):
"""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') returns 'ewhjklnop'
encrypt('gf') returns 'kj'
encrypt('et') returns 'ix'
"""
#[SOLUTION]
d = 'abcdefghijklmnopqrstuvwxyz'
out = ''
for c in s:
if c in d:
out += d[(d.index(c)+2*2) % 26]
else:
out += c
return out
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('hi') == 'lm', "This prints if this assert fails 1 (good for debugging!)"
assert candidate('asdfghjkl') == 'ewhjklnop', "This prints if this assert fails 1 (good for debugging!)"
assert candidate('gf') == 'kj', "This prints if this assert fails 1 (good for debugging!)"
assert candidate('et') == 'ix', "This prints if this assert fails 1 (good for debugging!)"
assert candidate('faewfawefaewg')=='jeiajeaijeiak', "This prints if this assert fails 1 (good for debugging!)"
assert candidate('hellomyfriend')=='lippsqcjvmirh', "This prints if this assert fails 2 (good for debugging!)"
assert candidate('dxzdlmnilfuhmilufhlihufnmlimnufhlimnufhfucufh')=='hbdhpqrmpjylqmpyjlpmlyjrqpmqryjlpmqryjljygyjl', "This prints if this assert fails 3 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate('a')=='e', "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'strlen'
#[PROMPT]
def strlen(string: str) -> int:
""" Return length of given string
>>> strlen('')
0
>>> strlen('abc')
3
"""
#[SOLUTION]
return len(string)
#[CHECK]
METADATA = {
'author': 'jt',
'dataset': 'test'
}
def check(candidate):
assert candidate('') == 0
assert candidate('x') == 1
assert candidate('asdasnakj') == 9
|
ENTRY_POINT = 'sort_third'
FIX = """
Remove sort helper function.
"""
#[PROMPT]
def sort_third(l: list):
"""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]
>>> sort_third([5, 6, 3, 4, 8, 9, 2])
[2, 6, 3, 4, 8, 9, 5]
"""
#[SOLUTION]
l = list(l)
l[::3] = sorted(l[::3])
return l
#[CHECK]
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(sort_third([5, 8, -12, 4, 23, 2, 3, 11, 12, -10]))
assert tuple(candidate([5, 6, 3, 4, 8, 9, 2])) == tuple([2, 6, 3, 4, 8, 9, 5])
|
ENTRY_POINT = 'all_prefixes'
#[PROMPT]
from typing import List
def all_prefixes(string: str) -> List[str]:
""" Return list of all prefixes from shortest to longest of the input string
>>> all_prefixes('abc')
['a', 'ab', 'abc']
"""
#[SOLUTION]
result = []
for i in range(len(string)):
result.append(string[:i+1])
return result
#[CHECK]
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']
|
ENTRY_POINT = 'change_base'
#[PROMPT]
def change_base(x: int, base: int):
"""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'
"""
#[SOLUTION]
ret = ""
while x > 0:
ret = str(x % base) + ret
x //= base
return ret
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate(8, 3) == "22"
assert candidate(9, 3) == "100"
assert candidate(234, 2) == "11101010"
assert candidate(16, 2) == "10000"
assert candidate(8, 2) == "1000"
assert candidate(7, 2) == "111"
for x in range(2, 8):
assert candidate(x, x + 1) == str(x)
|
ENTRY_POINT = 'skjkasdkd'
#[PROMPT]
def skjkasdkd(lst):
"""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 = [1,3,1,32,5107,34,83278,109,163,23,2323,32,30,1,9,3] the output should be 13
For lst = [0,724,32,71,99,32,6,0,5,91,83,0,5,6] the output should be 11
For lst = [0,81,12,3,1,21] the output should be 3
For lst = [0,8,1,2,1,7] the output should be 7
"""
#[SOLUTION]
def isPrime(n):
for i in range(2,int(n**0.5)+1):
if n%i==0:
return False
return True
maxx = 0
i = 0
while i < len(lst):
if(lst[i] > maxx and isPrime(lst[i])):
maxx = lst[i]
i+=1
result = sum(int(digit) for digit in str(maxx))
return result
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([0,3,2,1,3,5,7,4,5,5,5,2,181,32,4,32,3,2,32,324,4,3]) == 10, "This prints if this assert fails 1 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate([1,0,1,8,2,4597,2,1,3,40,1,2,1,2,4,2,5,1]) == 25, "This prints if this assert fails 2 (also good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate([1,3,1,32,5107,34,83278,109,163,23,2323,32,30,1,9,3]) == 13, "This prints if this assert fails 3 (also good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate([0,724,32,71,99,32,6,0,5,91,83,0,5,6]) == 11, "This prints if this assert fails 4 (also good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate([0,81,12,3,1,21]) == 3, "This prints if this assert fails 5 (also good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate([0,8,1,2,1,7]) == 7, "This prints if this assert fails 6 (also good for debugging!)"
|
ENTRY_POINT = 'sum_to_n'
#[PROMPT]
def sum_to_n(n: int):
"""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
"""
#[SOLUTION]
return sum(range(n + 1))
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate(1) == 1
assert candidate(5) == 15
assert candidate(10) == 55
assert candidate(30) == 465
assert candidate(100) == 5050
|
ENTRY_POINT = 'incr_list'
#[PROMPT]
def incr_list(l: list):
"""Return list with elements incremented by 1.
>>> incr_list([1, 2, 3])
[2, 3, 4]
>>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])
[6, 4, 6, 3, 4, 4, 10, 1, 124]
"""
#[SOLUTION]
return [(e + 1) for e in l]
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate([1, 2, 3]) == [2, 3, 4]
assert candidate([5, 3, 5, 2, 3, 3, 9, 0, 123]) == [6, 4, 6, 3, 4, 4, 10, 1, 124]
|
ENTRY_POINT = 'sort_array'
#[PROMPT]
def sort_array(arr):
"""
In this Kata, you have to sort an array of non-negative integers according to
number of ones in their binary representation in ascending order.
For similar number of ones, sort based on decimal value.
It must be implemented like this:
>>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5]
>>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2]
>>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4]
"""
#[SOLUTION]
return sorted(sorted(arr), key=lambda x: bin(x)[2:].count('1'))
#[CHECK]
def check(candidate):
# Check some simple cases
assert True, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([1,5,2,3,4]) == [1, 2, 4, 3, 5]
assert candidate([-2,-3,-4,-5,-6]) == [-4, -2, -6, -5, -3]
assert candidate([1,0,2,3,4]) == [0, 1, 2, 4, 3]
assert candidate([]) == []
assert candidate([2,5,77,4,5,3,5,7,2,3,4]) == [2, 2, 4, 4, 3, 3, 5, 5, 5, 7, 77]
assert candidate([3,6,44,12,32,5]) == [32, 3, 5, 6, 12, 44]
assert candidate([2,4,8,16,32]) == [2, 4, 8, 16, 32]
assert candidate([2,4,8,16,32]) == [2, 4, 8, 16, 32]
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'prime_length'
#[PROMPT]
def prime_length(string):
"""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
"""
#[SOLUTION]
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
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('Hello') == True
assert candidate('abcdcba') == True
assert candidate('kittens') == True
assert candidate('orange') == False
assert candidate('wow') == True
assert candidate('world') == True
assert candidate('MadaM') == True
assert candidate('Wow') == True
assert candidate('') == False
assert candidate('HI') == True
assert candidate('go') == True
assert candidate('gogo') == False
assert candidate('aaaaaaaaaaaaaaa') == False
# Check some edge cases that are easy to work out by hand.
assert candidate('Madam') == True
assert candidate('M') == False
assert candidate('0') == False
|
ENTRY_POINT = 'valid_date'
FIX = """
Add more negative test cases.
"""
#[PROMPT]
def valid_date(date):
"""You have to write a function which validates a given date string and
returns True if the date is valid otherwise False.
The date is valid if all of the following rules are satisfied:
1. The date string is not empty.
2. The number of days is not less than 1 or higher than 31 days for months 1,3,5,7,8,10,12. And the number of days is not less than 1 or higher than 30 days for months 4,6,9,11. And, the number of days is not less than 1 or higher than 29 for the month 2.
3. The months should not be less than 1 or higher than 12.
4. The date should be in the format: mm-dd-yyyy
for example:
valid_date('03-11-2000') => True
valid_date('15-01-2012') => False
valid_date('04-0-2040') => False
valid_date('06-04-2020') => True
valid_date('06/04/2020') => False
"""
#[SOLUTION]
try:
date = date.strip()
month, day, year = date.split('-')
month, day, year = int(month), int(day), int(year)
if month < 1 or month > 12:
return False
if month in [1,3,5,7,8,10,12] and day < 1 or day > 31:
return False
if month in [4,6,9,11] and day < 1 or day > 30:
return False
if month == 2 and day < 1 or day > 29:
return False
except:
return False
return True
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('03-11-2000') == True
assert candidate('15-01-2012') == False
assert candidate('04-0-2040') == False
assert candidate('06-04-2020') == True
assert candidate('01-01-2007') == True
assert candidate('03-32-2011') == False
assert candidate('') == False
assert candidate('04-31-3000') == False
assert candidate('06-06-2005') == True
assert candidate('21-31-2000') == False
assert candidate('04-12-2003') == True
assert candidate('04122003') == False
assert candidate('20030412') == False
assert candidate('2003-04') == False
assert candidate('2003-04-12') == False
assert candidate('04-2003') == False
|
ENTRY_POINT = 'search'
#[PROMPT]
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 value exist, return -1.
Examples:
search([4, 1, 2, 2, 3, 1]) == 2
search([1, 2, 2, 3, 3, 3, 4, 4, 4]) == 3
search([5, 5, 4, 4, 4]) == -1
'''
#[SOLUTION]
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
#[CHECK]
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 candidate([2, 7, 8, 8, 4, 8, 7, 3, 9, 6, 5, 10, 4, 3, 6, 7, 1, 7, 4, 10, 8, 1]) == 1
assert candidate([3, 2, 8, 2]) == 2
assert candidate([6, 7, 1, 8, 8, 10, 5, 8, 5, 3, 10]) == 1
assert candidate([8, 8, 3, 6, 5, 6, 4]) == -1
assert candidate([6, 9, 6, 7, 1, 4, 7, 1, 8, 8, 9, 8, 10, 10, 8, 4, 10, 4, 10, 1, 2, 9, 5, 7, 9]) == 1
assert candidate([1, 9, 10, 1, 3]) == 1
assert candidate([6, 9, 7, 5, 8, 7, 5, 3, 7, 5, 10, 10, 3, 6, 10, 2, 8, 6, 5, 4, 9, 5, 3, 10]) == 5
assert candidate([1]) == 1
assert candidate([8, 8, 10, 6, 4, 3, 5, 8, 2, 4, 2, 8, 4, 6, 10, 4, 2, 1, 10, 2, 1, 1, 5]) == 4
assert candidate([2, 10, 4, 8, 2, 10, 5, 1, 2, 9, 5, 5, 6, 3, 8, 6, 4, 10]) == 2
assert candidate([1, 6, 10, 1, 6, 9, 10, 8, 6, 8, 7, 3]) == 1
assert candidate([9, 2, 4, 1, 5, 1, 5, 2, 5, 7, 7, 7, 3, 10, 1, 5, 4, 2, 8, 4, 1, 9, 10, 7, 10, 2, 8, 10, 9, 4]) == 4
assert candidate([2, 6, 4, 2, 8, 7, 5, 6, 4, 10, 4, 6, 3, 7, 8, 8, 3, 1, 4, 2, 2, 10, 7]) == 4
assert candidate([9, 8, 6, 10, 2, 6, 10, 2, 7, 8, 10, 3, 8, 2, 6, 2, 3, 1]) == 2
assert candidate([5, 5, 3, 9, 5, 6, 3, 2, 8, 5, 6, 10, 10, 6, 8, 4, 10, 7, 7, 10, 8]) == -1
assert candidate([10]) == -1
assert candidate([9, 7, 7, 2, 4, 7, 2, 10, 9, 7, 5, 7, 2]) == 2
assert candidate([5, 4, 10, 2, 1, 1, 10, 3, 6, 1, 8]) == 1
assert candidate([7, 9, 9, 9, 3, 4, 1, 5, 9, 1, 2, 1, 1, 10, 7, 5, 6, 7, 6, 7, 7, 6]) == 1
assert candidate([3, 10, 10, 9, 2]) == -1
|
ENTRY_POINT = 'common'
#[PROMPT]
def common(l1: list, l2: list):
"""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]
"""
#[SOLUTION]
ret = set()
for e1 in l1:
for e2 in l2:
if e1 == e2:
ret.add(e1)
return sorted(list(ret))
#[CHECK]
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]
|
ENTRY_POINT = 'encode'
#[PROMPT]
def encode(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'
>>> encode('This is a message')
'tHKS KS C MGSSCGG'
"""
#[SOLUTION]
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])
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('TEST') == 'tgst', "This prints if this assert fails 1 (good for debugging!)"
assert candidate('Mudasir') == 'mWDCSKR', "This prints if this assert fails 2 (good for debugging!)"
assert candidate('YES') == 'ygs', "This prints if this assert fails 3 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate('This is a message') == 'tHKS KS C MGSSCGG', "This prints if this assert fails 2 (also good for debugging!)"
assert candidate("I DoNt KnOw WhAt tO WrItE") == 'k dQnT kNqW wHcT Tq wRkTg', "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'histogram'
#[PROMPT]
def histogram(test):
"""Given a string representing a space separated lowercase letters, return a dictionary
of the letter with the most repetition and containing the corresponding count.
If several letters have the same occurrence, return all of them.
Example:
histogram('a b c') == {'a': 1, 'b': 1, 'c': 1}
histogram('a b b a') == {'a': 2, 'b': 2}
histogram('a b c a b') == {'a': 2, 'b': 2}
histogram('b b b b a') == {'b': 4}
histogram('') == {}
"""
#[SOLUTION]
dict1={}
list1=test.split(" ")
t=0
for i in list1:
if(list1.count(i)>t) and i!='':
t=list1.count(i)
if t>0:
for i in list1:
if(list1.count(i)==t):
dict1[i]=t
return dict1
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('a b b a') == {'a':2,'b': 2}, "This prints if this assert fails 1 (good for debugging!)"
assert candidate('a b c a b') == {'a': 2, 'b': 2}, "This prints if this assert fails 2 (good for debugging!)"
assert candidate('a b c d g') == {'a': 1, 'b': 1, 'c': 1, 'd': 1, 'g': 1}, "This prints if this assert fails 3 (good for debugging!)"
assert candidate('r t g') == {'r': 1,'t': 1,'g': 1}, "This prints if this assert fails 4 (good for debugging!)"
assert candidate('b b b b a') == {'b': 4}, "This prints if this assert fails 5 (good for debugging!)"
assert candidate('r t g') == {'r': 1,'t': 1,'g': 1}, "This prints if this assert fails 6 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate('') == {}, "This prints if this assert fails 7 (also good for debugging!)"
assert candidate('a') == {'a': 1}, "This prints if this assert fails 8 (also good for debugging!)"
|
ENTRY_POINT = 'solve'
#[PROMPT]
def solve(s):
"""You are given a string s.
if s[i] is a letter, reverse its case from lower to upper or vise versa,
otherwise keep it as it is.
If the string contains no letters, reverse the string.
The function should return the resulted string.
Examples
solve("1234") = "4321"
solve("ab") = "AB"
solve("#a@C") = "#A@c"
"""
#[SOLUTION]
flg = 0
idx = 0
new_str = list(s)
for i in s:
if i.isalpha():
new_str[idx] = i.swapcase()
flg = 1
idx += 1
s = ""
for i in new_str:
s += i
if flg == 0:
return s[len(s)::-1]
return s
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("AsDf") == "aSdF"
assert candidate("1234") == "4321"
assert candidate("ab") == "AB"
assert candidate("#a@C") == "#A@c"
assert candidate("#AsdfW^45") == "#aSDFw^45"
assert candidate("#6@2") == "2@6#"
# Check some edge cases that are easy to work out by hand.
assert candidate("#$a^D") == "#$A^d"
assert candidate("#ccc") == "#CCC"
# Don't remove this line:
|
ENTRY_POINT = 'get_max_triples'
#[PROMPT]
def get_max_triples(n):
"""
You are given a positive integer n. You have to create an integer array a of length n.
For each i (1 ≤ i ≤ n), the value of a[i] = i * i - i + 1.
Return the number of triples (a[i], a[j], a[k]) of a where i < j < k,
and a[i] + a[j] + a[k] is a multiple of 3.
Example :
Input: n = 5
Output: 1
Explanation:
a = [1, 3, 7, 13, 21]
The only valid triple is (1, 7, 13).
"""
#[SOLUTION]
A = [i*i - i + 1 for i in range(1,n+1)]
ans = []
for i in range(n):
for j in range(i+1,n):
for k in range(j+1,n):
if (A[i]+A[j]+A[k])%3 == 0:
ans += [(A[i],A[j],A[k])]
return len(ans)
#[CHECK]
def check(candidate):
assert candidate(5) == 1
assert candidate(6) == 4
assert candidate(10) == 36
assert candidate(100) == 53361
|
ENTRY_POINT = 'decimal_to_binary'
#[PROMPT]
def decimal_to_binary(decimal):
"""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 end of the string.
The extra characters are there to help with the format.
Examples:
decimal_to_binary(15) # returns "db1111db"
decimal_to_binary(32) # returns "db100000db"
"""
#[SOLUTION]
return "db" + bin(decimal)[2:] + "db"
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(0) == "db0db"
assert candidate(32) == "db100000db"
assert candidate(103) == "db1100111db"
assert candidate(15) == "db1111db", "This prints if this assert fails 1 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'is_happy'
#[PROMPT]
def is_happy(s):
"""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) => True
is_happy(xyy) => False
"""
#[SOLUTION]
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
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("a") == False , "a"
assert candidate("aa") == False , "aa"
assert candidate("abcd") == True , "abcd"
assert candidate("aabb") == False , "aabb"
assert candidate("adb") == True , "adb"
assert candidate("xyy") == False , "xyy"
assert candidate("iopaxpoi") == True , "iopaxpoi"
|
ENTRY_POINT = 'get_positive'
#[PROMPT]
def get_positive(l: list):
"""Return only positive numbers in the list.
>>> get_positive([-1, 2, -4, 5, 6])
[2, 5, 6]
>>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])
[5, 3, 2, 3, 9, 123, 1]
"""
#[SOLUTION]
return [e for e in l if e > 0]
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate([-1, 2, -4, 5, 6]) == [2, 5, 6]
assert candidate([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]) == [5, 3, 2, 3, 9, 123, 1]
|
ENTRY_POINT = 'greatest_common_divisor'
#[PROMPT]
def greatest_common_divisor(a: int, b: int) -> int:
""" Return a greatest common divisor of two integers a and b
>>> greatest_common_divisor(3, 5)
1
>>> greatest_common_divisor(25, 15)
5
"""
#[SOLUTION]
while b:
a, b = b, a % b
return a
#[CHECK]
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
|
ENTRY_POINT = 'file_name_check'
#[PROMPT]
def file_name_check(file_name):
"""Create a function which takes a string representing a file's name, and returns
'Yes' if the the file's name is valid, and returns 'No' otherwise.
A file's name is considered to be valid if and only if all the following conditions
are met:
- There should not be more than three digits ('0'-'9') in the file's name.
- The file's name contains exactly one dot '.'
- The substring before the dot should not be empty, and it starts with a letter from
the latin alphapet ('a'-'z' and 'A'-'Z').
- The substring after the dot should be one of these: ['txt', 'exe', 'dll']
Examples:
file_name_check("example.txt") # => 'Yes'
file_name_check("1example.dll") # => 'No' (the name should start with a latin alphapet letter)
"""
#[SOLUTION]
suf = ['txt', 'exe', 'dll']
lst = file_name.split(sep='.')
if len(lst) != 2:
return 'No'
if not lst[1] in suf:
return 'No'
if len(lst[0]) == 0:
return 'No'
if not lst[0][0].isalpha():
return 'No'
t = len([x for x in lst[0] if x.isdigit()])
if t > 3:
return 'No'
return 'Yes'
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("example.txt") == 'Yes'
assert candidate("1example.dll") == 'No'
assert candidate('s1sdf3.asd') == 'No'
assert candidate('K.dll') == 'Yes'
assert candidate('MY16FILE3.exe') == 'Yes'
assert candidate('His12FILE94.exe') == 'No'
assert candidate('_Y.txt') == 'No'
assert candidate('?aREYA.exe') == 'No'
assert candidate('/this_is_valid.dll') == 'No'
assert candidate('this_is_valid.wow') == 'No'
assert candidate('this_is_valid.txt') == 'Yes'
assert candidate('this_is_valid.txtexe') == 'No'
assert candidate('#this2_i4s_5valid.ten') == 'No'
assert candidate('@this1_is6_valid.exe') == 'No'
assert candidate('this_is_12valid.6exe4.txt') == 'No'
assert candidate('all.exe.txt') == 'No'
assert candidate('I563_No.exe') == 'Yes'
assert candidate('Is3youfault.txt') == 'Yes'
assert candidate('no_one#knows.dll') == 'Yes'
assert candidate('1I563_Yes3.exe') == 'No'
assert candidate('I563_Yes3.txtt') == 'No'
assert candidate('final..txt') == 'No'
assert candidate('final132') == 'No'
assert candidate('_f4indsartal132.') == 'No'
# Check some edge cases that are easy to work out by hand.
assert candidate('.txt') == 'No'
assert candidate('s.') == 'No'
|
ENTRY_POINT = 'longest'
#[PROMPT]
from typing import List, Optional
def longest(strings: List[str]) -> Optional[str]:
""" Out of list of strings, return the longest one. Return the first one in case 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'
"""
#[SOLUTION]
if not strings:
return None
maxlen = max(len(x) for x in strings)
for s in strings:
if len(s) == maxlen:
return s
#[CHECK]
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'
|
ENTRY_POINT = 'specialFilter'
#[PROMPT]
def specialFilter(nums):
"""Write a function that takes an array of numbers as input and returns
the number of elements in the array that are greater than 10 and both
first and last digits of a number are odd (1, 3, 5, 7, 9).
For example:
specialFilter([15, -73, 14, -15]) => 1
specialFilter([33, -2, -3, 45, 21, 109]) => 2
"""
#[SOLUTION]
count = 0
for num in nums:
if num > 10:
odd_digits = (1, 3, 5, 7, 9)
number_as_string = str(num)
if int(number_as_string[0]) in odd_digits and int(number_as_string[-1]) in odd_digits:
count += 1
return count
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([5, -2, 1, -5]) == 0
assert candidate([15, -73, 14, -15]) == 1
assert candidate([33, -2, -3, 45, 21, 109]) == 2
assert candidate([43, -12, 93, 125, 121, 109]) == 4
assert candidate([71, -2, -33, 75, 21, 19]) == 3
# Check some edge cases that are easy to work out by hand.
assert candidate([1]) == 0
assert candidate([]) == 0
|
ENTRY_POINT = 'special_factorial'
FIX = """
Remove k from docstring.
"""
#[PROMPT]
def special_factorial(n):
"""The Brazilian factorial is defined as:
brazilian_factorial(n) = n! * (n-1)! * (n-2)! * ... * 1!
where n > 0
For example:
>>> special_factorial(4)
288
The function will receive an integer as input and should return the special
factorial of this integer.
"""
#[SOLUTION]
fact_i = 1
special_fact = 1
for i in range(1, n+1):
fact_i *= i
special_fact *= fact_i
return special_fact
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(4) == 288, "Test 4"
assert candidate(5) == 34560, "Test 5"
assert candidate(7) == 125411328000, "Test 7"
# Check some edge cases that are easy to work out by hand.
assert candidate(1) == 1, "Test 1"
|
ENTRY_POINT = 'split_words'
FIX = """
Add check for lower case and add test.
"""
#[PROMPT]
def split_words(txt):
'''
Given a string of words, return a list of words split on whitespace, if no whitespaces exists in the text you
should split on commas ',' if no commas exists you should return the number of lower-case letters with odd order in the
alphabet, ord('a') = 0, ord('b') = 1, ... ord('z') = 25
Examples
split_words("Hello world!") ➞ ["Hello", "world!"]
split_words("Hello,world!") ➞ ["Hello", "world!"]
split_words("abcdef") == 3
'''
#[SOLUTION]
if " " in txt:
return txt.split()
elif "," in txt:
return txt.replace(',',' ').split()
else:
return len([i for i in txt if i.islower() and ord(i)%2 == 0])
#[CHECK]
def check(candidate):
assert candidate("Hello world!") == ["Hello","world!"]
assert candidate("Hello,world!") == ["Hello","world!"]
assert candidate("Hello world,!") == ["Hello","world,!"]
assert candidate("Hello,Hello,world !") == ["Hello,Hello,world","!"]
assert candidate("abcdef") == 3
assert candidate("aaabb") == 2
assert candidate("aaaBb") == 1
|
ENTRY_POINT = 'is_nested'
FIX = """
Add example clarifying two cases:
1. There can be more than one brakets in side another. e.g. [[][]]
2. Whole string doesn't need to be balanced. e.g. [[]][[
Add test cases for these two cases.
"""
#[PROMPT]
def is_nested(string):
'''
Create a function that takes a string as input which contains only square brackets.
The function should return True if and only if there is a valid subsequence of brackets
where at least one bracket in the subsequence is nested.
is_nested('[[]]') ➞ True
is_nested('[]]]]]]][[[[[]') ➞ False
is_nested('[][]') ➞ False
is_nested('[]') ➞ False
is_nested('[[][]]') ➞ True
is_nested('[[]][[') ➞ True
'''
#[SOLUTION]
opening_bracket_index = []
closing_bracket_index = []
for i in range(len(string)):
if string[i] == '[':
opening_bracket_index.append(i)
else:
closing_bracket_index.append(i)
closing_bracket_index.reverse()
cnt = 0
i = 0
l = len(closing_bracket_index)
for idx in opening_bracket_index:
if i < l and idx < closing_bracket_index[i]:
cnt += 1
i += 1
return cnt >= 2
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate('[[]]') == True, "This prints if this assert fails 1 (good for debugging!)"
assert candidate('[]]]]]]][[[[[]') == False
assert candidate('[][]') == False
assert candidate(('[]')) == False
assert candidate('[[[[]]]]') == True
assert candidate('[]]]]]]]]]]') == False
assert candidate('[][][[]]') == True
assert candidate('[[]') == False
assert candidate('[]]') == False
assert candidate('[[]][[') == True
assert candidate('[[][]]') == True
# Check some edge cases that are easy to work out by hand.
assert candidate('') == False, "This prints if this assert fails 2 (also good for debugging!)"
assert candidate('[[[[[[[[') == False
assert candidate(']]]]]]]]') == False
|
ENTRY_POINT = 'median'
FIX = """
Fix bug in solution. Add more tests.
Add a few more tests.
"""
#[PROMPT]
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
#[SOLUTION]
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
#[CHECK]
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
|
ENTRY_POINT = 'odd_count'
#[PROMPT]
def odd_count(lst):
"""Given a list of strings, where each string consists of only digits, return a list.
Each element i of the output should be "the number of odd elements in the
string i of the input." where all the i's should be replaced by the number
of odd digits in the i'th string of the input.
>>> odd_count(['1234567'])
["the number of odd elements 4n the str4ng 4 of the 4nput."]
>>> odd_count(['3',"11111111"])
["the number of odd elements 1n the str1ng 1 of the 1nput.",
"the number of odd elements 8n the str8ng 8 of the 8nput."]
"""
#[SOLUTION]
res = []
for arr in lst:
n = sum(int(d)%2==1 for d in arr)
res.append("the number of odd elements " + str(n) + "n the str"+ str(n) +"ng "+ str(n) +" of the "+ str(n) +"nput.")
print(res)
return res
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate(['1234567']) == ["the number of odd elements 4n the str4ng 4 of the 4nput."], "Test 1"
assert candidate(['3',"11111111"]) == ["the number of odd elements 1n the str1ng 1 of the 1nput.", "the number of odd elements 8n the str8ng 8 of the 8nput."], "Test 2"
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'sum_squares'
#[PROMPT]
def sum_squares(lst):
"""You are given a list of numbers.
You need to return the sum of squared numbers in the given list,
round each element in the list to the upper int(Ceiling) first.
Examples:
For lst = [1,2,3] the output should be 14
For lst = [1,4,9] the output should be 98
For lst = [1,3,5,7] the output should be 84
For lst = [1.4,4.2,0] the output should be 29
For lst = [-2.4,1,1] the output should be 6
"""
#[SOLUTION]
import math
squared = 0
for i in lst:
squared += math.ceil(i)**2
return squared
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([1,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([1.0,2,3])==14, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([1,3,5,7])==84, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([1.4,4.2,0])==29, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([-2.4,1,1])==6, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([100,1,15,2])==10230, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([10000,10000])==200000000, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([-1.4,4.6,6.3])==75, "This prints if this assert fails 1 (good for debugging!)"
assert candidate([-1.4,17.9,18.9,19.9])==1086, "This prints if this assert fails 1 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate([0])==0, "This prints if this assert fails 2 (also good for debugging!)"
assert candidate([-1])==1, "This prints if this assert fails 2 (also good for debugging!)"
assert candidate([-1,1,0])==2, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'flip_case'
#[PROMPT]
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
#[SOLUTION]
return string.swapcase()
#[CHECK]
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'
|
ENTRY_POINT = 'fib4'
FIX = """
Change solution to be non-recursive.
"""
#[PROMPT]
def fib4(n: int):
"""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 sequence. Do not use recursion.
>>> fib4(5)
4
>>> fib4(6)
8
>>> fib4(7)
14
"""
#[SOLUTION]
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]
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate(5) == 4
assert candidate(8) == 28
assert candidate(10) == 104
assert candidate(12) == 386
|
ENTRY_POINT = 'closest_integer'
#[PROMPT]
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
Note:
Rounding away from zero means that if the given number is equidistant
from two integers, the one you should return is the one that is the
farthest from zero. For example closest_integer("14.5") should
return 15 and closest_integer("-14.5") should return -15.
'''
#[SOLUTION]
from math import floor, ceil
if value.count('.') == 1:
# remove trailing zeros
while (value[-1] == '0'):
value = value[:-1]
num = float(value)
if value[-2:] == '.5':
if num > 0:
res = ceil(num)
else:
res = floor(num)
elif len(value) > 0:
res = int(round(num))
else:
res = 0
return res
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("10") == 10, "Test 1"
assert candidate("14.5") == 15, "Test 2"
assert candidate("-15.5") == -16, "Test 3"
assert candidate("15.3") == 15, "Test 3"
# Check some edge cases that are easy to work out by hand.
assert candidate("0") == 0, "Test 0"
|
ENTRY_POINT = 'concatenate'
#[PROMPT]
from typing import List
def concatenate(strings: List[str]) -> str:
""" Concatenate list of strings into a single string
>>> concatenate([])
''
>>> concatenate(['a', 'b', 'c'])
'abc'
"""
#[SOLUTION]
return ''.join(strings)
#[CHECK]
METADATA = {
'author': 'jt',
'dataset': 'test'
}
def check(candidate):
assert candidate([]) == ''
assert candidate(['x', 'y', 'z']) == 'xyz'
assert candidate(['x', 'y', 'z', 'w', 'k']) == 'xyzwk'
|
ENTRY_POINT = 'same_chars'
#[PROMPT]
def same_chars(s0: str, s1: str):
"""
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
>>> same_chars('eabcdzzzz', 'dddzzzzzzzddddabc')
False
"""
#[SOLUTION]
return set(s0) == set(s1)
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate('eabcdzzzz', 'dddzzzzzzzddeddabc') == True
assert candidate('abcd', 'dddddddabc') == True
assert candidate('dddddddabc', 'abcd') == True
assert candidate('eabcd', 'dddddddabc') == False
assert candidate('abcd', 'dddddddabcf') == False
assert candidate('eabcdzzzz', 'dddzzzzzzzddddabc') == False
assert candidate('aabb', 'aaccc') == False
|
ENTRY_POINT = 'is_prime'
#[PROMPT]
def is_prime(n):
"""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
"""
#[SOLUTION]
if n < 2:
return False
for k in range(2, n - 1):
if n % k == 0:
return False
return True
#[CHECK]
METADATA = {}
def check(candidate):
assert candidate(6) == False
assert candidate(101) == True
assert candidate(11) == True
assert candidate(13441) == True
assert candidate(61) == True
assert candidate(4) == False
assert candidate(1) == False
assert candidate(5) == True
assert candidate(11) == True
assert candidate(17) == True
assert candidate(5 * 17) == False
assert candidate(11 * 7) == False
assert candidate(13441 * 19) == False
|
ENTRY_POINT = 'add_elements'
#[PROMPT]
def add_elements(arr, k):
"""
Given a non-empty array of integers arr and an integer k, return
the sum of the first k element that has at most two digits.
Example:
Input: arr = [111,21,3,4000,5,6,7,8,9], k = 4
Output: 24 # sum of 21 + 3
Constraints:
1. 1 <= len(arr) <= 100
2. 1 <= k <= len(arr)
"""
#[SOLUTION]
return sum(elem for elem in arr[:k] if len(str(elem)) <= 2)
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([1,-2,-3,41,57,76,87,88,99], 3) == -4
assert candidate([111,121,3,4000,5,6], 2) == 0
assert candidate([11,21,3,90,5,6,7,8,9], 4) == 125
assert candidate([111,21,3,4000,5,6,7,8,9], 4) == 24, "This prints if this assert fails 1 (good for debugging!)"
# Check some edge cases that are easy to work out by hand.
assert candidate([1], 1) == 1, "This prints if this assert fails 2 (also good for debugging!)"
|
ENTRY_POINT = 'sort_numbers'
#[PROMPT]
from typing import List
def sort_numbers(numbers: str) -> str:
""" 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'
"""
#[SOLUTION]
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]))
#[CHECK]
METADATA = {
'author': 'jt',
'dataset': 'test'
}
def check(candidate):
assert candidate('') == ''
assert candidate('three five nine') == 'three five nine'
assert candidate('five zero four seven nine eight') == 'zero four five seven eight nine'
assert candidate('six five four three two one zero') == 'zero one two three four five six'
|
ENTRY_POINT = 'words_string'
#[PROMPT]
def words_string(s):
"""
You will be given a string of words separated by commas or spaces. Your task is
to split the string into words and return an array of the words.
For example:
words_string("Hi, my name is John") == ["Hi", "my", "name", "is", "John"]
words_string("One, two, three, four, five, six") == ["One", "two", "three", "four", "five", "six"]
"""
#[SOLUTION]
if not s:
return []
s_list = []
for letter in s:
if letter == ',':
s_list.append(' ')
else:
s_list.append(letter)
s_list = "".join(s_list)
return s_list.split()
#[CHECK]
def check(candidate):
# Check some simple cases
assert True, "This prints if this assert fails 1 (good for debugging!)"
assert candidate("Hi, my name is John") == ["Hi", "my", "name", "is", "John"]
assert candidate("One, two, three, four, five, six") == ["One", "two", "three", "four", "five", "six"]
assert candidate("Hi, my name") == ["Hi", "my", "name"]
assert candidate("One,, two, three, four, five, six,") == ["One", "two", "three", "four", "five", "six"]
# Check some edge cases that are easy to work out by hand.
assert True, "This prints if this assert fails 2 (also good for debugging!)"
assert candidate("") == []
assert candidate("ahmed , gamal") == ["ahmed", "gamal"]
|
ENTRY_POINT = 'will_it_fly'
#[PROMPT]
def will_it_fly(q,w):
'''
Write a function that returns True if the object q will fly, and False otherwise.
The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.
Example:
will_it_fly([1, 2], 5) ➞ False
# 1+2 is less than the maximum possible weight, but it's unbalanced.
will_it_fly([3, 2, 3], 1) ➞ False
# it's balanced, but 3+2+3 is more than the maximum possible weight.
will_it_fly([3, 2, 3], 9) ➞ True
# 3+2+3 is less than the maximum possible weight, and it's balanced.
will_it_fly([3], 5) ➞ True
# 3 is less than the maximum possible weight, and it's balanced.
'''
#[SOLUTION]
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
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate([3, 2, 3], 9) is True
assert candidate([1, 2], 5) is False
assert candidate([3], 5) is True
assert candidate([3, 2, 3], 1) is False
# Check some edge cases that are easy to work out by hand.
assert candidate([1, 2, 3], 6) is False
assert candidate([5], 5) is True
|
ENTRY_POINT = 'fruit_distribution'
FIX = """
Fixed incorrect examples by changing + to -
"""
#[PROMPT]
def fruit_distribution(s,n):
"""
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 number of the fruits
in the basket return the number of the mango fruits in the basket.
for examble:
fruit_distribution("5 apples and 6 oranges", 19) ->19 - 5 - 6 = 8
fruit_distribution("0 apples and 1 oranges",3) -> 3 - 0 - 1 = 2
fruit_distribution("2 apples and 3 oranges", 100) -> 100 - 2 - 3 = 95
fruit_distribution("100 apples and 1 oranges",120) -> 120 - 100 - 1 = 19
"""
#[SOLUTION]
lis = list()
for i in s.split(' '):
if i.isdigit():
lis.append(int(i))
return n - sum(lis)
#[CHECK]
def check(candidate):
# Check some simple cases
assert candidate("5 apples and 6 oranges",19) == 8
assert candidate("0 apples and 1 oranges",3) == 2
assert candidate("2 apples and 3 oranges",100) == 95
assert candidate("100 apples and 1 oranges",120) == 19
|
ENTRY_POINT = 'decode_cyclic'
#[PROMPT]
def encode_cyclic(s: str):
"""
returns encoded string by cycling groups of three characters.
"""
# split string to groups. Each of length 3.
groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]
# cycle elements in each group. Unless group has fewer elements than 3.
groups = [(group[1:] + group[0]) if len(group) == 3 else group for group in groups]
return "".join(groups)
def decode_cyclic(s: str):
"""
takes as input string encoded with encode_cyclic function. Returns decoded string.
"""
#[SOLUTION]
return encode_cyclic(encode_cyclic(s))
#[CHECK]
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
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.