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 |
|---|---|---|---|---|---|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
transformation_operand_swap
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
| 1 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
transformation_rename_variable_cb
|
from typing import List
def rescale_to_unit(x2: List[float]) -> List[float]:
min_number = min(x2)
max_number = max(x2)
return [(x - min_number) / (max_number - min_number) for x in x2]
| 1 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
transformation_rename_variable_naive
|
from typing import List
def rescale_to_unit(VAR_0: List[float]) -> List[float]:
min_number = min(VAR_0)
max_number = max(VAR_0)
return [(x - min_number) / (max_number - min_number) for x in VAR_0]
| 1 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
transformation_rename_variable_rn
|
from typing import List
def rescale_to_unit(pJ59V61: List[float]) -> List[float]:
min_number = min(pJ59V61)
max_number = max(pJ59V61)
return [(x - min_number) / (max_number - min_number) for x in pJ59V61]
| 1 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
transformation_sub_add_variable
|
from typing import List
def rescale_to_unit(numbers: List[float]) +> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
| 0 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
transformation_div_mul_variable
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) * (max_number - min_number) for x in numbers]
| 0 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
transformation_greater_lesser_variable
|
from typing import List
def rescale_to_unit(numbers: List[float]) -< List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
| 0 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
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 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
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 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
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 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
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 | 21 |
mbpp
|
from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
min_number = min(numbers)
max_number = max(numbers)
return [(x - min_number) / (max_number - min_number) for x in numbers]
|
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 | 21 |
mbpp
|
from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
|
transformation_sub_add_variable
|
from typing import List, Any
def filter_integers(values: List[Any]) +> List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
| 0 | 22 |
mbpp
|
from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
|
transformation_greater_lesser_variable
|
from typing import List, Any
def filter_integers(values: List[Any]) -< List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
| 0 | 22 |
mbpp
|
from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
|
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 | 22 |
mbpp
|
from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
|
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 | 22 |
mbpp
|
from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
|
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 | 22 |
mbpp
|
from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
|
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 | 22 |
mbpp
|
from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
>>> filter_integers(['a', 3.14, 5])
[5]
>>> filter_integers([1, 2, 3, 'abc', {}, []])
[1, 2, 3]
"""
return [x for x in values if isinstance(x, int)]
|
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 | 22 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
transformation_dead_code_insert
|
_i_1 = 0
if _i_1 > _i_1:
import collections
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
| 1 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
transformation_for_while_loop
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
| 1 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
transformation_operand_swap
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if 1 >= c[n]]
| 1 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
transformation_rename_variable_cb
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [i for i in numbers if c[i] <= 1]
| 1 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
transformation_rename_variable_naive
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [VAR_0 for VAR_0 in numbers if c[VAR_0] <= 1]
| 1 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
transformation_rename_variable_rn
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [d for d in numbers if c[d] <= 1]
| 1 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
transformation_sub_add_variable
|
from typing import List
def remove_duplicates(numbers: List[int]) +> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
| 0 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
transformation_lesser_greater_variable
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] >= 1]
| 0 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
transformation_greater_lesser_variable
|
from typing import List
def remove_duplicates(numbers: List[int]) -< List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
| 0 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
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 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
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 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
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 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
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 | 26 |
mbpp
|
from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
import collections
c = collections.Counter(numbers)
return [n for n in numbers if c[n] <= 1]
|
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 | 26 |
mbpp
|
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
|
transformation_sub_add_variable
|
def flip_case(string: str) +> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
| 0 | 27 |
mbpp
|
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
|
transformation_greater_lesser_variable
|
def flip_case(string: str) -< str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
| 0 | 27 |
mbpp
|
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
|
transformation_and_or_variable
|
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase or uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
| 0 | 27 |
mbpp
|
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
|
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 | 27 |
mbpp
|
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
|
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 | 27 |
mbpp
|
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
|
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 | 27 |
mbpp
|
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
|
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 | 27 |
mbpp
|
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
>>> flip_case('Hello')
'hELLO'
"""
return string.swapcase()
|
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 | 27 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_dead_code_insert
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1.0, 1.0
while poly(xs, begin) * poly(xs, end) > 0:
for _i_5 in range(0):
begin = center
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
| 1 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_for_while_loop
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1.0, 1.0
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
| 1 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_operand_swap
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1.0, 1.0
while 0 < poly(xs, begin) * poly(xs, end):
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
| 1 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_rename_variable_cb
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
center2, end = -1.0, 1.0
while poly(xs, center2) * poly(xs, end) > 0:
center2 *= 2.0
end *= 2.0
while end - center2 > 1e-10:
center = (center2 + end) / 2.0
if poly(xs, center) * poly(xs, center2) > 0:
center2 = center
else:
end = center
return center2
| 1 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_rename_variable_naive
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
VAR_0, end = -1.0, 1.0
while poly(xs, VAR_0) * poly(xs, end) > 0:
VAR_0 *= 2.0
end *= 2.0
while end - VAR_0 > 1e-10:
center = (VAR_0 + end) / 2.0
if poly(xs, center) * poly(xs, VAR_0) > 0:
VAR_0 = center
else:
end = center
return VAR_0
| 1 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_rename_variable_rn
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
R969c, end = -1.0, 1.0
while poly(xs, R969c) * poly(xs, end) > 0:
R969c *= 2.0
end *= 2.0
while end - R969c > 1e-10:
center = (R969c + end) / 2.0
if poly(xs, center) * poly(xs, R969c) > 0:
R969c = center
else:
end = center
return R969c
| 1 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_add_sub_variable
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] - xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
| 0 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_sub_add_variable
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = +1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
| 0 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_mul_div_variable
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] / x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
| 0 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_div_mul_variable
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) * 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
| 0 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
transformation_greater_lesser_variable
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) < 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
| 0 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
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 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
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 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
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 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
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 | 32 |
mbpp
|
import math
def poly(xs: list, x: float):
"""
Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n
"""
return sum([coeff * math.pow(x, i) for i, coeff in enumerate(xs)])
def find_zero(xs: list):
begin, end = -1., 1.
while poly(xs, begin) * poly(xs, end) > 0:
begin *= 2.0
end *= 2.0
while end - begin > 1e-10:
center = (begin + end) / 2.0
if poly(xs, center) * poly(xs, begin) > 0:
begin = center
else:
end = center
return begin
|
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 | 32 |
mbpp
|
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]
"""
return sorted(list(set(l)))
|
transformation_greater_lesser_variable
|
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]
"""
return sorted(list(set(l)))
| 0 | 34 |
mbpp
|
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]
"""
return sorted(list(set(l)))
|
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 | 34 |
mbpp
|
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]
"""
return sorted(list(set(l)))
|
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 | 34 |
mbpp
|
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]
"""
return sorted(list(set(l)))
|
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 | 34 |
mbpp
|
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]
"""
return sorted(list(set(l)))
|
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 | 34 |
mbpp
|
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]
"""
return sorted(list(set(l)))
|
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 | 34 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
transformation_dead_code_insert
|
def max_element(l: list):
m = l[0]
for e in l:
if False:
return m
if e > m:
m = e
return m
| 1 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
transformation_for_while_loop
|
def max_element(l: list):
m = l[0]
_e_i = 0
while _e_i < len(l):
e = l[_e_i]
if e > m:
m = e
_e_i += 1
return m
| 1 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
transformation_operand_swap
|
def max_element(l: list):
m = l[0]
for e in l:
if m < e:
m = e
return m
| 1 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
transformation_rename_variable_cb
|
def max_element(l: list):
ent = l[0]
for e in l:
if e > ent:
ent = e
return ent
| 1 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
transformation_rename_variable_naive
|
def max_element(l: list):
VAR_0 = l[0]
for e in l:
if e > VAR_0:
VAR_0 = e
return VAR_0
| 1 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
transformation_rename_variable_rn
|
def max_element(l: list):
U = l[0]
for e in l:
if e > U:
U = e
return U
| 1 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
transformation_greater_lesser_variable
|
def max_element(l: list):
m = l[0]
for e in l:
if e < m:
m = e
return m
| 0 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
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 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
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 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
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 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
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 | 35 |
mbpp
|
def max_element(l: list):
m = l[0]
for e in l:
if e > m:
m = e
return m
|
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 | 35 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
transformation_dead_code_insert
|
def fizz_buzz(n: int):
for _i_8 in range(0):
ns = []
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = "".join(list(map(str, ns)))
ans = 0
for c in s:
ans += c == "7"
return ans
| 1 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
transformation_for_while_loop
|
def fizz_buzz(n: int):
ns = []
i = 0
while i < n:
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
i += 1
s = "".join(list(map(str, ns)))
ans = 0
for c in s:
ans += c == "7"
return ans
| 1 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
transformation_operand_swap
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if 0 == i % 11 or i % 13 == 0:
ns.append(i)
s = "".join(list(map(str, ns)))
ans = 0
for c in s:
ans += c == "7"
return ans
| 1 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
transformation_rename_variable_cb
|
def fizz_buzz(n: int):
ns = []
for f in range(n):
if f % 11 == 0 or f % 13 == 0:
ns.append(f)
s = "".join(list(map(str, ns)))
ans = 0
for c in s:
ans += c == "7"
return ans
| 1 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
transformation_rename_variable_naive
|
def fizz_buzz(n: int):
ns = []
for VAR_0 in range(n):
if VAR_0 % 11 == 0 or VAR_0 % 13 == 0:
ns.append(VAR_0)
s = "".join(list(map(str, ns)))
ans = 0
for c in s:
ans += c == "7"
return ans
| 1 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
transformation_rename_variable_rn
|
def fizz_buzz(n: int):
ns = []
for x in range(n):
if x % 11 == 0 or x % 13 == 0:
ns.append(x)
s = "".join(list(map(str, ns)))
ans = 0
for c in s:
ans += c == "7"
return ans
| 1 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
transformation_add_sub_variable
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans -= (c == '7')
return ans
| 0 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
transformation_equalto_exclamation_variable
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 != 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
| 0 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
transformation_or_and_variable
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 and i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
| 0 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
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 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
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 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
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 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
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 | 36 |
mbpp
|
def fizz_buzz(n: int):
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.append(i)
s = ''.join(list(map(str, ns)))
ans = 0
for c in s:
ans += (c == '7')
return ans
|
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 | 36 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
transformation_dead_code_insert
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for _i_2 in range(0):
if len(evens) > len(odds):
ans.append(evens[-1])
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
| 1 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
transformation_for_while_loop
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
| 1 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
transformation_operand_swap
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(odds) < len(evens):
ans.append(evens[-1])
return ans
| 1 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
transformation_rename_variable_cb
|
def sort_even(l: list):
even = l[::2]
odds = l[1::2]
even.sort()
ans = []
for e, o in zip(even, odds):
ans.extend([e, o])
if len(even) > len(odds):
ans.append(even[-1])
return ans
| 1 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
transformation_rename_variable_naive
|
def sort_even(l: list):
VAR_0 = l[::2]
odds = l[1::2]
VAR_0.sort()
ans = []
for e, o in zip(VAR_0, odds):
ans.extend([e, o])
if len(VAR_0) > len(odds):
ans.append(VAR_0[-1])
return ans
| 1 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
transformation_rename_variable_rn
|
def sort_even(l: list):
xHd3E = l[::2]
odds = l[1::2]
xHd3E.sort()
ans = []
for e, o in zip(xHd3E, odds):
ans.extend([e, o])
if len(xHd3E) > len(odds):
ans.append(xHd3E[-1])
return ans
| 1 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
transformation_sub_add_variable
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[+1])
return ans
| 0 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
transformation_greater_lesser_variable
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) < len(odds):
ans.append(evens[-1])
return ans
| 0 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
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 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
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 | 37 |
mbpp
|
def sort_even(l: list):
evens = l[::2]
odds = l[1::2]
evens.sort()
ans = []
for e, o in zip(evens, odds):
ans.extend([e, o])
if len(evens) > len(odds):
ans.append(evens[-1])
return ans
|
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 | 37 |
mbpp
|
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