original_code
stringclasses 565
values | transformation
stringclasses 24
values | transformed_code
stringlengths 35
955
| label
int64 0
1
| groups
int64 1
971
| dataset
stringclasses 1
value |
|---|---|---|---|---|---|
def is_multiply_prime(a):
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
|
transformation_dissimilar_code_injection_3
|
from typing import List
def below_zero(operations: List[int]) -> bool:
balance = 0
for op in operations:
balance += op
if balance < 0:
return True
return False
| 0 | 75 |
mbpp
|
def is_multiply_prime(a):
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
|
transformation_dissimilar_code_injection_4
|
from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
mean = sum(numbers) / len(numbers)
return sum(abs(x - mean) for x in numbers) / len(numbers)
| 0 | 75 |
mbpp
|
def is_happy(s):
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
|
transformation_dead_code_insert
|
def is_happy(s):
if len(s) < 3:
return False
for i in range(len(s) - 2):
while False:
return True
if s[i] == s[i + 1] or s[i + 1] == s[i + 2] or s[i] == s[i + 2]:
return False
return True
| 1 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_for_while_loop
|
def is_happy(s):
if len(s) < 3:
return False
i = 0
while i < len(s) - 2:
if s[i] == s[i + 1] or s[i + 1] == s[i + 2] or s[i] == s[i + 2]:
return False
i += 1
return True
| 1 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_operand_swap
|
def is_happy(s):
if 3 > len(s):
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
| 1 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_rename_variable_cb
|
def is_happy(e):
if len(e) < 3:
return False
for i in range(len(e) - 2):
if e[i] == e[i + 1] or e[i + 1] == e[i + 2] or e[i] == e[i + 2]:
return False
return True
| 1 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_rename_variable_naive
|
def is_happy(VAR_0):
if len(VAR_0) < 3:
return False
for i in range(len(VAR_0) - 2):
if (
VAR_0[i] == VAR_0[i + 1]
or VAR_0[i + 1] == VAR_0[i + 2]
or VAR_0[i] == VAR_0[i + 2]
):
return False
return True
| 1 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_rename_variable_rn
|
def is_happy(g):
if len(g) < 3:
return False
for i in range(len(g) - 2):
if g[i] == g[i + 1] or g[i + 1] == g[i + 2] or g[i] == g[i + 2]:
return False
return True
| 1 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_add_sub_variable
|
def is_happy(s):
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
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_sub_add_variable
|
def is_happy(s):
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
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_lesser_greater_variable
|
def is_happy(s):
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
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_equalto_exclamation_variable
|
def is_happy(s):
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
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_true_false_variable
|
def is_happy(s):
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 False
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_false_true_variable
|
def is_happy(s):
if len(s) < 3:
return True
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
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_or_and_variable
|
def is_happy(s):
if len(s) < 3:
return False
for i in range(len(s) - 2):
if s[i] == s[i+1] and s[i+1] == s[i+2] or s[i] == s[i+2]:
return False
return True
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_dissimilar_code_injection_0
|
from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
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
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_dissimilar_code_injection_1
|
from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
result = []
current_string = []
current_depth = 0
for c in paren_string:
if c == '(':
current_depth += 1
current_string.append(c)
elif c == ')':
current_depth -= 1
current_string.append(c)
if current_depth == 0:
result.append(''.join(current_string))
current_string.clear()
return result
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_dissimilar_code_injection_2
|
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
"""
return number % 1.0
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_dissimilar_code_injection_3
|
from typing import List
def below_zero(operations: List[int]) -> bool:
balance = 0
for op in operations:
balance += op
if balance < 0:
return True
return False
| 0 | 80 |
mbpp
|
def is_happy(s):
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
|
transformation_dissimilar_code_injection_4
|
from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
mean = sum(numbers) / len(numbers)
return sum(abs(x - mean) for x in numbers) / len(numbers)
| 0 | 80 |
mbpp
|
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'
"""
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
|
transformation_is_isnot_variable
|
def anti_shuffle(s):
"""
Write a function that takes a string and returns an ordered version of it.
Ordered version of string, is not 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'
"""
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
| 0 | 85 |
mbpp
|
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'
"""
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
|
transformation_and_or_variable
|
def anti_shuffle(s):
"""
Write a function that takes a string or 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'
"""
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
| 0 | 85 |
mbpp
|
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'
"""
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
|
transformation_dissimilar_code_injection_0
|
from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
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
| 0 | 85 |
mbpp
|
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'
"""
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
|
transformation_dissimilar_code_injection_1
|
from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
result = []
current_string = []
current_depth = 0
for c in paren_string:
if c == '(':
current_depth += 1
current_string.append(c)
elif c == ')':
current_depth -= 1
current_string.append(c)
if current_depth == 0:
result.append(''.join(current_string))
current_string.clear()
return result
| 0 | 85 |
mbpp
|
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'
"""
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
|
transformation_dissimilar_code_injection_2
|
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
"""
return number % 1.0
| 0 | 85 |
mbpp
|
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'
"""
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
|
transformation_dissimilar_code_injection_3
|
from typing import List
def below_zero(operations: List[int]) -> bool:
balance = 0
for op in operations:
balance += op
if balance < 0:
return True
return False
| 0 | 85 |
mbpp
|
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'
"""
return ' '.join([''.join(sorted(list(i))) for i in s.split(' ')])
|
transformation_dissimilar_code_injection_4
|
from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
mean = sum(numbers) / len(numbers)
return sum(abs(x - mean) for x in numbers) / len(numbers)
| 0 | 85 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_add_sub_variable
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]-array[-1]) % 2 == 0)
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_sub_add_variable
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_mul_div_variable
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_greater_lesser_variable
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_equalto_exclamation_variable
|
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]
"""
return [] if len(array) != 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_is_isnot_variable
|
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 not 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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_or_and_variable
|
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,
and 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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_dissimilar_code_injection_0
|
from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
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
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_dissimilar_code_injection_1
|
from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
result = []
current_string = []
current_depth = 0
for c in paren_string:
if c == '(':
current_depth += 1
current_string.append(c)
elif c == ')':
current_depth -= 1
current_string.append(c)
if current_depth == 0:
result.append(''.join(current_string))
current_string.clear()
return result
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_dissimilar_code_injection_2
|
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
"""
return number % 1.0
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_dissimilar_code_injection_3
|
from typing import List
def below_zero(operations: List[int]) -> bool:
balance = 0
for op in operations:
balance += op
if balance < 0:
return True
return False
| 0 | 87 |
mbpp
|
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]
"""
return [] if len(array) == 0 else sorted(array, reverse= (array[0]+array[-1]) % 2 == 0)
|
transformation_dissimilar_code_injection_4
|
from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
mean = sum(numbers) / len(numbers)
return sum(abs(x - mean) for x in numbers) / len(numbers)
| 0 | 87 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_dead_code_insert
|
def any_int(x, y, z):
if isinstance(x, int) and isinstance(y, int) and isinstance(z, int):
for _i_2 in range(0):
return True
if (x + y == z) or (x + z == y) or (y + z == x):
return True
return False
return False
| 1 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_for_while_loop
|
def any_int(x, y, z):
if isinstance(x, int) and isinstance(y, int) and isinstance(z, int):
if (x + y == z) or (x + z == y) or (y + z == x):
return True
return False
return False
| 1 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_operand_swap
|
def any_int(x, y, z):
if isinstance(x, int) and isinstance(y, int) and isinstance(z, int):
if (x + y == z) or (x + z == y) or (x == y + z):
return True
return False
return False
| 1 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_rename_variable_cb
|
def any_int(x2, y, z):
if isinstance(x2, int) and isinstance(y, int) and isinstance(z, int):
if (x2 + y == z) or (x2 + z == y) or (y + z == x2):
return True
return False
return False
| 1 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_rename_variable_naive
|
def any_int(VAR_0, y, z):
if isinstance(VAR_0, int) and isinstance(y, int) and isinstance(z, int):
if (VAR_0 + y == z) or (VAR_0 + z == y) or (y + z == VAR_0):
return True
return False
return False
| 1 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_rename_variable_rn
|
def any_int(x, y, z2):
if isinstance(x, int) and isinstance(y, int) and isinstance(z2, int):
if (x + y == z2) or (x + z2 == y) or (y + z2 == x):
return True
return False
return False
| 1 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_add_sub_variable
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x-y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_equalto_exclamation_variable
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y!=z) or (x+z==y) or (y+z==x):
return True
return False
return False
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_true_false_variable
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return False
return False
return False
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_false_true_variable
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return True
return False
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_and_or_variable
|
def any_int(x, y, z):
if isinstance(x,int) or isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_or_and_variable
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) and (x+z==y) or (y+z==x):
return True
return False
return False
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_dissimilar_code_injection_0
|
from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
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
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_dissimilar_code_injection_1
|
from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
result = []
current_string = []
current_depth = 0
for c in paren_string:
if c == '(':
current_depth += 1
current_string.append(c)
elif c == ')':
current_depth -= 1
current_string.append(c)
if current_depth == 0:
result.append(''.join(current_string))
current_string.clear()
return result
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_dissimilar_code_injection_2
|
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
"""
return number % 1.0
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_dissimilar_code_injection_3
|
from typing import List
def below_zero(operations: List[int]) -> bool:
balance = 0
for op in operations:
balance += op
if balance < 0:
return True
return False
| 0 | 91 |
mbpp
|
def any_int(x, y, z):
if isinstance(x,int) and isinstance(y,int) and isinstance(z,int):
if (x+y==z) or (x+z==y) or (y+z==x):
return True
return False
return False
|
transformation_dissimilar_code_injection_4
|
from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
mean = sum(numbers) / len(numbers)
return sum(abs(x - mean) for x in numbers) / len(numbers)
| 0 | 91 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_dead_code_insert
|
def skjkasdkd(lst):
def isPrime(n):
for i in range(2, int(n ** 0.5) + 1):
_i_8 = 0
while _i_8 > _i_8:
for i in range(2, int(n ** 0.5) + 1):
if n % i == 0:
return False
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
| 1 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_for_while_loop
|
def skjkasdkd(lst):
def isPrime(n):
i = 2
while i < int(n ** 0.5) + 1:
if n % i == 0:
return False
i += 1
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
| 1 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_operand_swap
|
def skjkasdkd(lst):
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 len(lst) > i:
if lst[i] > maxx and isPrime(lst[i]):
maxx = lst[i]
i += 1
result = sum(int(digit) for digit in str(maxx))
return result
| 1 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_rename_variable_cb
|
def skjkasdkd(lst):
def isPrime(n):
for f in range(2, int(n ** 0.5) + 1):
if n % f == 0:
return False
return True
maxx = 0
f = 0
while f < len(lst):
if lst[f] > maxx and isPrime(lst[f]):
maxx = lst[f]
f += 1
result = sum(int(digit) for digit in str(maxx))
return result
| 1 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_rename_variable_naive
|
def skjkasdkd(lst):
def isPrime(n):
for VAR_0 in range(2, int(n ** 0.5) + 1):
if n % VAR_0 == 0:
return False
return True
maxx = 0
VAR_0 = 0
while VAR_0 < len(lst):
if lst[VAR_0] > maxx and isPrime(lst[VAR_0]):
maxx = lst[VAR_0]
VAR_0 += 1
result = sum(int(digit) for digit in str(maxx))
return result
| 1 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_rename_variable_rn
|
def skjkasdkd(lst):
def isPrime(n):
for P in range(2, int(n ** 0.5) + 1):
if n % P == 0:
return False
return True
maxx = 0
P = 0
while P < len(lst):
if lst[P] > maxx and isPrime(lst[P]):
maxx = lst[P]
P += 1
result = sum(int(digit) for digit in str(maxx))
return result
| 1 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_add_sub_variable
|
def skjkasdkd(lst):
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
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_mul_div_variable
|
def skjkasdkd(lst):
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
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_lesser_greater_variable
|
def skjkasdkd(lst):
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
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_greater_lesser_variable
|
def skjkasdkd(lst):
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
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_equalto_exclamation_variable
|
def skjkasdkd(lst):
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
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_true_false_variable
|
def skjkasdkd(lst):
def isPrime(n):
for i in range(2,int(n**0.5)+1):
if n%i==0:
return False
return False
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
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_false_true_variable
|
def skjkasdkd(lst):
def isPrime(n):
for i in range(2,int(n**0.5)+1):
if n%i==0:
return True
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
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_and_or_variable
|
def skjkasdkd(lst):
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 or isPrime(lst[i])):
maxx = lst[i]
i+=1
result = sum(int(digit) for digit in str(maxx))
return result
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_dissimilar_code_injection_0
|
from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
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
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_dissimilar_code_injection_1
|
from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
result = []
current_string = []
current_depth = 0
for c in paren_string:
if c == '(':
current_depth += 1
current_string.append(c)
elif c == ')':
current_depth -= 1
current_string.append(c)
if current_depth == 0:
result.append(''.join(current_string))
current_string.clear()
return result
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_dissimilar_code_injection_2
|
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
"""
return number % 1.0
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_dissimilar_code_injection_3
|
from typing import List
def below_zero(operations: List[int]) -> bool:
balance = 0
for op in operations:
balance += op
if balance < 0:
return True
return False
| 0 | 93 |
mbpp
|
def skjkasdkd(lst):
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
|
transformation_dissimilar_code_injection_4
|
from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
mean = sum(numbers) / len(numbers)
return sum(abs(x - mean) for x in numbers) / len(numbers)
| 0 | 93 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_dead_code_insert
|
def count_up_to(n):
for _i_0 in range(0):
is_prime = False
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
| 1 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_for_while_loop
|
def count_up_to(n):
primes = []
i = 2
while i < n:
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
i += 1
return primes
| 1 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_operand_swap
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if 0 == i % j:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
| 1 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_rename_variable_naive
|
def count_up_to(n):
primes = []
for VAR_0 in range(2, n):
is_prime = True
for j in range(2, VAR_0):
if VAR_0 % j == 0:
is_prime = False
break
if is_prime:
primes.append(VAR_0)
return primes
| 1 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_rename_variable_rn
|
def count_up_to(n):
primes = []
for u in range(2, n):
is_prime = True
for j in range(2, u):
if u % j == 0:
is_prime = False
break
if is_prime:
primes.append(u)
return primes
| 1 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_equalto_exclamation_variable
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j != 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
| 0 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_true_false_variable
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = False
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
| 0 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_false_true_variable
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = True
break
if is_prime:
primes.append(i)
return primes
| 0 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_dissimilar_code_injection_0
|
from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
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
| 0 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_dissimilar_code_injection_1
|
from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
result = []
current_string = []
current_depth = 0
for c in paren_string:
if c == '(':
current_depth += 1
current_string.append(c)
elif c == ')':
current_depth -= 1
current_string.append(c)
if current_depth == 0:
result.append(''.join(current_string))
current_string.clear()
return result
| 0 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_dissimilar_code_injection_2
|
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
"""
return number % 1.0
| 0 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_dissimilar_code_injection_3
|
from typing import List
def below_zero(operations: List[int]) -> bool:
balance = 0
for op in operations:
balance += op
if balance < 0:
return True
return False
| 0 | 95 |
mbpp
|
def count_up_to(n):
primes = []
for i in range(2, n):
is_prime = True
for j in range(2, i):
if i % j == 0:
is_prime = False
break
if is_prime:
primes.append(i)
return primes
|
transformation_dissimilar_code_injection_4
|
from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
mean = sum(numbers) / len(numbers)
return sum(abs(x - mean) for x in numbers) / len(numbers)
| 0 | 95 |
mbpp
|
def closest_integer(value):
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
|
transformation_dead_code_insert
|
def closest_integer(value):
from math import floor, ceil
if value.count(".") == 1:
# remove trailing zeros
while value[-1] == "0":
for _i_3 in range(0):
if value.count(".") == 1:
# remove trailing zeros
while value[-1] == "0":
value = value[:-1]
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
| 1 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_for_while_loop
|
def closest_integer(value):
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
| 1 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_operand_swap
|
def closest_integer(value):
from math import floor, ceil
if 1 == value.count("."):
# 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
| 1 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_rename_variable_cb
|
def closest_integer(num2):
from math import floor, ceil
if num2.count(".") == 1:
# remove trailing zeros
while num2[-1] == "0":
num2 = num2[:-1]
num = float(num2)
if num2[-2:] == ".5":
if num > 0:
res = ceil(num)
else:
res = floor(num)
elif len(num2) > 0:
res = int(round(num))
else:
res = 0
return res
| 1 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_rename_variable_naive
|
def closest_integer(VAR_0):
from math import floor, ceil
if VAR_0.count(".") == 1:
# remove trailing zeros
while VAR_0[-1] == "0":
VAR_0 = VAR_0[:-1]
num = float(VAR_0)
if VAR_0[-2:] == ".5":
if num > 0:
res = ceil(num)
else:
res = floor(num)
elif len(VAR_0) > 0:
res = int(round(num))
else:
res = 0
return res
| 1 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_rename_variable_rn
|
def closest_integer(E566Q):
from math import floor, ceil
if E566Q.count(".") == 1:
# remove trailing zeros
while E566Q[-1] == "0":
E566Q = E566Q[:-1]
num = float(E566Q)
if E566Q[-2:] == ".5":
if num > 0:
res = ceil(num)
else:
res = floor(num)
elif len(E566Q) > 0:
res = int(round(num))
else:
res = 0
return res
| 1 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_sub_add_variable
|
def closest_integer(value):
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
| 0 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_greater_lesser_variable
|
def closest_integer(value):
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
| 0 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_equalto_exclamation_variable
|
def closest_integer(value):
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
| 0 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_dissimilar_code_injection_0
|
from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
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
| 0 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_dissimilar_code_injection_1
|
from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
result = []
current_string = []
current_depth = 0
for c in paren_string:
if c == '(':
current_depth += 1
current_string.append(c)
elif c == ')':
current_depth -= 1
current_string.append(c)
if current_depth == 0:
result.append(''.join(current_string))
current_string.clear()
return result
| 0 | 98 |
mbpp
|
def closest_integer(value):
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
|
transformation_dissimilar_code_injection_2
|
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
"""
return number % 1.0
| 0 | 98 |
mbpp
|
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