dataset_name string | task_name string | test_cases list | compare_func string | demos list | src_lang null | tgt_lang string | data_id string | prefix string | suffix string | import_str list | doc_string string | solution string | entry_func string | type dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HumanEval | code_generation | [
[
"[1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.3",
"True"
],
[
"[1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.05",
"False"
],
[
"[1.0, 2.0, 5.9, 4.0, 5.0], 0.95",
"True"
],
[
"[1.0, 2.0, 5.9, 4.0, 5.0], 0.8",
"False"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.0], 0.1",
"True"
],
[
"... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1.0, 2.0, 3.0], 0.5",
"False"
],
[
"[1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3",
"True"
]
] | null | python | HumanEval_0 | from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
""" Check if in given list of numbers, are any two numbers closer to each other than
given threshold.
"""
| [
"from typing import List"
] | Check if in given list of numbers, are any two numbers closer to each other than
given threshold. | from typing import List
def has_close_elements(numbers: List[float], threshold: float) -> bool:
""" Check if in given list of numbers, are any two numbers closer to each other than
given threshold.
>>> has_close_elements([1.0, 2.0, 3.0], 0.5)
False
>>> has_close_elements([1.0, 2.8, 3.0, 4.0, 5.0, ... | has_close_elements | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'(()()) ((())) () ((())()())'",
"[\n '(()())', '((()))', '()', '((())()())'\n ]"
],
[
"'() (()) ((())) (((())))'",
"[\n '()', '(())', '((()))', '(((())))'\n ]"
],
[
"'(()(())((())))'",
"[\n '(()(())((())))'\n ]"
],
[
"'( ) (( )) (( )( ))'",
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'( ) (( )) (( )( ))'",
"['()', '(())', '(()())']"
]
] | null | python | HumanEval_1 | from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
""" Input to this function is a string containing multiple groups of nested parentheses. Your goal is to
separate those group into separate strings and return the list of those.
Separate groups are balanced (each open brace... | [
"from typing import List"
] | Input to this function is a string containing multiple groups of nested parentheses. Your goal is to
separate those group into separate strings and return the list of those.
Separate groups are balanced (each open brace is properly closed) and not nested within each other
Ignore any spaces in the input stri... | from typing import List
def separate_paren_groups(paren_string: str) -> List[str]:
""" Input to this function is a string containing multiple groups of nested parentheses. Your goal is to
separate those group into separate strings and return the list of those.
Separate groups are balanced (each open brace... | separate_paren_groups | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"3.5",
"0.5"
],
[
"1.33",
"0.33"
],
[
"123.456",
"0.456"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"3.5",
"0.5"
]
] | null | python | HumanEval_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.
"""
| [] | 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. |
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... | truncate_number | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[]",
"False"
],
[
"[1, 2, -3, 1, 2, -3]",
"False"
],
[
"[1, 2, -4, 5, 6]",
"True"
],
[
"[1, -1, 2, -2, 5, -5, 4, -4]",
"False"
],
[
"[1, -1, 2, -2, 5, -5, 4, -5]",
"True"
],
[
"[1, -2, 2, -2, 5, -5, 4, -4]",
"True"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 3]",
"False"
],
[
"[1, 2, -4, 5]",
"True"
]
] | null | python | HumanEval_3 | from typing import List
def below_zero(operations: List[int]) -> bool:
""" You're given a list of deposit and withdrawal operations on a bank account that starts with
zero balance. Your task is to detect if at any point the balance of account fallls below zero, and
at that point function should return Tru... | [
"from typing import List"
] | You're given a list of deposit and withdrawal operations on a bank account that starts with
zero balance. Your task is to detect if at any point the balance of account fallls below zero, and
at that point function should return True. Otherwise it should return False. | from typing import List
def below_zero(operations: List[int]) -> bool:
""" You're given a list of deposit and withdrawal operations on a bank account that starts with
zero balance. Your task is to detect if at any point the balance of account fallls below zero, and
at that point function should return Tru... | below_zero | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1.0, 2.0, 3.0]",
"2.0/3.0"
],
[
"[1.0, 2.0, 3.0, 4.0]",
"1.0"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0]",
"6.0/5.0"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1.0, 2.0, 3.0, 4.0]",
"1.0"
]
] | null | python | HumanEval_4 | from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
""" For a given list of input numbers, calculate Mean Absolute Deviation
around the mean of this dataset.
Mean Absolute Deviation is the average absolute difference between each
element and a centerpoint (mean in this ... | [
"from typing import List"
] | For a given list of input numbers, calculate Mean Absolute Deviation
around the mean of this dataset.
Mean Absolute Deviation is the average absolute difference between each
element and a centerpoint (mean in this case):
MAD = average | x - x_mean | | from typing import List
def mean_absolute_deviation(numbers: List[float]) -> float:
""" For a given list of input numbers, calculate Mean Absolute Deviation
around the mean of this dataset.
Mean Absolute Deviation is the average absolute difference between each
element and a centerpoint (mean in this ... | mean_absolute_deviation | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[], 7",
"[]"
],
[
"[5, 6, 3, 2], 8",
"[5, 8, 6, 8, 3, 8, 2]"
],
[
"[2, 2, 2], 2",
"[2, 2, 2, 2, 2]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[], 4",
"[]"
],
[
"[1, 2, 3], 4",
"[1, 4, 2, 4, 3]"
]
] | null | python | HumanEval_5 | from typing import List
def intersperse(numbers: List[int], delimeter: int) -> List[int]:
""" Insert a number 'delimeter' between every two consecutive elements of input list `numbers'
"""
| [
"from typing import List"
] | Insert a number 'delimeter' between every two consecutive elements of input list `numbers' | from typing import List
def intersperse(numbers: List[int], delimeter: int) -> List[int]:
""" Insert a number 'delimeter' between every two consecutive elements of input list `numbers'
>>> intersperse([], 4)
[]
>>> intersperse([1, 2, 3], 4)
[1, 4, 2, 4, 3]
"""
if not numbers:
retur... | intersperse | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": [
"int"
],
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"'(()()) ((())) () ((())()())'",
"[2, 3, 1, 3]"
],
[
"'() (()) ((())) (((())))'",
"[1, 2, 3, 4]"
],
[
"'(()(())((())))'",
"[4]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'(()()) ((())) () ((())()())'",
"[2, 3, 1, 3]"
]
] | null | python | HumanEval_6 | from typing import List
def parse_nested_parens(paren_string: str) -> List[int]:
""" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.
For each of the group, output the deepest level of nesting of parentheses.
E.g. (()()) has maximum two levels of n... | [
"from typing import List"
] | Input to this function is a string represented multiple groups for nested parentheses separated by spaces.
For each of the group, output the deepest level of nesting of parentheses.
E.g. (()()) has maximum two levels of nesting while ((())) has three. | from typing import List
def parse_nested_parens(paren_string: str) -> List[int]:
""" Input to this function is a string represented multiple groups for nested parentheses separated by spaces.
For each of the group, output the deepest level of nesting of parentheses.
E.g. (()()) has maximum two levels of n... | parse_nested_parens | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[], 'john'",
"[]"
],
[
"['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx'",
"['xxx', 'xxxAAA', 'xxx']"
],
[
"['xxx', 'asd', 'aaaxxy', 'john doe', 'xxxAAA', 'xxx'], 'xx'",
"['xxx', 'aaaxxy', 'xxxAAA', 'xxx']"
],
[
"['grunt', 'trumpet', 'prune', 'gruesome'], 'run'",
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[], 'a'",
"[]"
],
[
"['abc', 'bacd', 'cde', 'array'], 'a'",
"['abc', 'bacd', 'array']"
]
] | null | python | HumanEval_7 | from typing import List
def filter_by_substring(strings: List[str], substring: str) -> List[str]:
""" Filter an input list of strings only for ones that contain given substring
"""
| [
"from typing import List"
] | Filter an input list of strings only for ones that contain given substring | from typing import List
def filter_by_substring(strings: List[str], substring: str) -> List[str]:
""" Filter an input list of strings only for ones that contain given substring
>>> filter_by_substring([], 'a')
[]
>>> filter_by_substring(['abc', 'bacd', 'cde', 'array'], 'a')
['abc', 'bacd', 'array'... | filter_by_substring | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[]",
"(0, 1)"
],
[
"[1, 1, 1]",
"(3, 1)"
],
[
"[100, 0]",
"(100, 0)"
],
[
"[3, 5, 7]",
"(3 + 5 + 7, 3 * 5 * 7)"
],
[
"[10]",
"(10, 10)"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[]",
"(0, 1)"
],
[
"[1, 2, 3, 4]",
"(10, 24)"
]
] | null | python | HumanEval_8 | from typing import List, Tuple
def sum_product(numbers: List[int]) -> Tuple[int, int]:
""" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.
Empty sum should be equal to 0 and empty product should be equal to 1.
>>> sum_product([])
(0, 1)
... | [
"from typing import List, Tuple"
] | For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.
Empty sum should be equal to 0 and empty product should be equal to 1.
>>> sum_product([])
(0, 1) | from typing import List, Tuple
def sum_product(numbers: List[int]) -> Tuple[int, int]:
""" For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.
Empty sum should be equal to 0 and empty product should be equal to 1.
>>> sum_product([])
(0, 1)
... | sum_product | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[]",
"[]"
],
[
"[1, 2, 3, 4]",
"[1, 2, 3, 4]"
],
[
"[4, 3, 2, 1]",
"[4, 4, 4, 4]"
],
[
"[3, 2, 3, 100, 3]",
"[3, 3, 3, 100, 100]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 3, 2, 3, 4, 2]",
"[1, 2, 3, 3, 3, 4, 4]"
]
] | null | python | HumanEval_9 | from typing import List, Tuple
def rolling_max(numbers: List[int]) -> List[int]:
""" From a given list of integers, generate a list of rolling maximum element found until given moment
in the sequence.
"""
| [
"from typing import List, Tuple"
] | From a given list of integers, generate a list of rolling maximum element found until given moment
in the sequence. | from typing import List, Tuple
def rolling_max(numbers: List[int]) -> List[int]:
""" From a given list of integers, generate a list of rolling maximum element found until given moment
in the sequence.
>>> rolling_max([1, 2, 3, 2, 3, 4, 2])
[1, 2, 3, 3, 3, 4, 4]
"""
running_max = None
resul... | rolling_max | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"''",
"''"
],
[
"'x'",
"'x'"
],
[
"'xyz'",
"'xyzyx'"
],
[
"'xyx'",
"'xyx'"
],
[
"'jerry'",
"'jerryrrej'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"''",
"''"
],
[
"'cat'",
"'catac'"
],
[
"'cata'",
"'catac'"
]
] | null | python | HumanEval_10 |
def is_palindrome(string: str) -> bool:
""" Test if given string is a palindrome """
return string == string[::-1]
def make_palindrome(string: str) -> str:
""" Find the shortest palindrome that begins with a supplied string.
Algorithm idea is simple:
- Find the longest postfix of supplied string... | [] | Test if given string is a palindrome |
def is_palindrome(string: str) -> bool:
""" Test if given string is a palindrome """
return string == string[::-1]
def make_palindrome(string: str) -> str:
""" Find the shortest palindrome that begins with a supplied string.
Algorithm idea is simple:
- Find the longest postfix of supplied string... | make_palindrome | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'111000', '101010'",
"'010010'"
],
[
"'1', '1'",
"'0'"
],
[
"'0101', '0000'",
"'0101'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'010', '110'",
"'100'"
]
] | null | python | HumanEval_11 | from typing import List
def string_xor(a: str, b: str) -> str:
""" Input are two strings a and b consisting only of 1s and 0s.
Perform binary XOR on these inputs and return result also as a string.
"""
| [
"from typing import List"
] | Input are two strings a and b consisting only of 1s and 0s.
Perform binary XOR on these inputs and return result also as a string. | from typing import List
def string_xor(a: str, b: str) -> str:
""" Input are two strings a and b consisting only of 1s and 0s.
Perform binary XOR on these inputs and return result also as a string.
>>> string_xor('010', '110')
'100'
"""
def xor(i, j):
if i == j:
return '0'
... | string_xor | {
"input": {
"N": null,
"S": null,
"a": [
"str"
],
"arr": null,
"array": null,
"b": [
"str"
],
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null... | |
HumanEval | code_generation | [
[
"[]",
"None"
],
[
"['x', 'y', 'z']",
"'x'"
],
[
"['x', 'yyy', 'zzzz', 'www', 'kkkk', 'abc']",
"'zzzz'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[]",
""
],
[
"['a', 'b', 'c']",
"'a'"
],
[
"['a', 'bb', 'ccc']",
"'ccc'"
]
] | null | python | HumanEval_12 | from typing import List, Optional
def longest(strings: List[str]) -> Optional[str]:
""" Out of list of strings, return the longest one. Return the first one in case of multiple
strings of the same length. Return None in case the input list is empty.
"""
| [
"from typing import List, Optional"
] | Out of list of strings, return the longest one. Return the first one in case of multiple
strings of the same length. Return None in case the input list is empty. | from typing import List, Optional
def longest(strings: List[str]) -> Optional[str]:
""" Out of list of strings, return the longest one. Return the first one in case of multiple
strings of the same length. Return None in case the input list is empty.
>>> longest([])
>>> longest(['a', 'b', 'c'])
'a... | longest | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"3, 7",
"1"
],
[
"10, 15",
"5"
],
[
"49, 14",
"7"
],
[
"144, 60",
"12"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"3, 5",
"1"
],
[
"25, 15",
"5"
]
] | null | python | HumanEval_13 |
def greatest_common_divisor(a: int, b: int) -> int:
""" Return a greatest common divisor of two integers a and b
"""
| [] | Return a greatest common divisor of two integers a and b |
def greatest_common_divisor(a: int, b: int) -> int:
""" Return a greatest common divisor of two integers a and b
>>> greatest_common_divisor(3, 5)
1
>>> greatest_common_divisor(25, 15)
5
"""
while b:
a, b = b, a % b
return a
| greatest_common_divisor | {
"input": {
"N": null,
"S": null,
"a": [
"int"
],
"arr": null,
"array": null,
"b": [
"int"
],
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null... | |
HumanEval | code_generation | [
[
"''",
"[]"
],
[
"'asdfgh'",
"['a', 'as', 'asd', 'asdf', 'asdfg', 'asdfgh']"
],
[
"'WWW'",
"['W', 'WW', 'WWW']"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'abc'",
"['a', 'ab', 'abc']"
]
] | null | python | HumanEval_14 | from typing import List
def all_prefixes(string: str) -> List[str]:
""" Return list of all prefixes from shortest to longest of the input string
"""
| [
"from typing import List"
] | Return list of all prefixes from shortest to longest of the input string | from typing import List
def all_prefixes(string: str) -> List[str]:
""" Return list of all prefixes from shortest to longest of the input string
>>> all_prefixes('abc')
['a', 'ab', 'abc']
"""
result = []
for i in range(len(string)):
result.append(string[:i+1])
return result
| all_prefixes | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"0",
"'0'"
],
[
"3",
"'0 1 2 3'"
],
[
"10",
"'0 1 2 3 4 5 6 7 8 9 10'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"0",
"'0'"
],
[
"5",
"'0 1 2 3 4 5'"
]
] | null | python | HumanEval_15 |
def string_sequence(n: int) -> str:
""" Return a string containing space-delimited numbers starting from 0 upto n inclusive.
"""
| [] | Return a string containing space-delimited numbers starting from 0 upto n inclusive. |
def string_sequence(n: int) -> str:
""" Return a string containing space-delimited numbers starting from 0 upto n inclusive.
>>> string_sequence(0)
'0'
>>> string_sequence(5)
'0 1 2 3 4 5'
"""
return ' '.join([str(x) for x in range(n + 1)])
| string_sequence | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"''",
"0"
],
[
"'abcde'",
"5"
],
[
"'abcde' + 'cade' + 'CADE'",
"5"
],
[
"'aaaaAAAAaaaa'",
"1"
],
[
"'Jerry jERRY JeRRRY'",
"5"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'xyzXYZ'",
"3"
],
[
"'Jerry'",
"4"
]
] | null | python | HumanEval_16 |
def count_distinct_characters(string: str) -> int:
""" Given a string, find out how many distinct characters (regardless of case) does it consist of
"""
| [] | Given a string, find out how many distinct characters (regardless of case) does it consist of |
def count_distinct_characters(string: str) -> int:
""" Given a string, find out how many distinct characters (regardless of case) does it consist of
>>> count_distinct_characters('xyzXYZ')
3
>>> count_distinct_characters('Jerry')
4
"""
return len(set(string.lower()))
| count_distinct_characters | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"''",
"[]"
],
[
"'o o o o'",
"[4, 4, 4, 4]"
],
[
"'.| .| .| .|'",
"[1, 1, 1, 1]"
],
[
"'o| o| .| .| o o o o'",
"[2, 2, 1, 1, 4, 4, 4, 4]"
],
[
"'o| .| o| .| o o| o o|'",
"[2, 1, 2, 1, 4, 2, 4, 2]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'o o| .| o| o| .| .| .| .| o o'",
"[4, 2, 1, 2, 2, 1, 1, 1, 1, 4, 4]"
]
] | null | python | HumanEval_17 | from typing import List
def parse_music(music_string: str) -> List[int]:
""" Input to this function is a string representing musical notes in a special ASCII format.
Your task is to parse this string and return list of integers corresponding to how many beats does each
not last.
Here is a legend:
... | [
"from typing import List"
] | Input to this function is a string representing musical notes in a special ASCII format.
Your task is to parse this string and return list of integers corresponding to how many beats does each
not last.
Here is a legend:
'o' - whole note, lasts four beats
'o|' - half note, lasts two beats
'.|' ... | from typing import List
def parse_music(music_string: str) -> List[int]:
""" Input to this function is a string representing musical notes in a special ASCII format.
Your task is to parse this string and return list of integers corresponding to how many beats does each
not last.
Here is a legend:
... | parse_music | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'', 'x'",
"0"
],
[
"'xyxyxyx', 'x'",
"4"
],
[
"'cacacacac', 'cac'",
"4"
],
[
"'john doe', 'john'",
"1"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'', 'a'",
"0"
],
[
"'aaa', 'a'",
"3"
],
[
"'aaaa', 'aa'",
"3"
]
] | null | python | HumanEval_18 |
def how_many_times(string: str, substring: str) -> int:
""" Find how many times a given substring can be found in the original string. Count overlaping cases.
"""
| [] | Find how many times a given substring can be found in the original string. Count overlaping cases. |
def how_many_times(string: str, substring: str) -> int:
""" Find how many times a given substring can be found in the original string. Count overlaping cases.
>>> how_many_times('', 'a')
0
>>> how_many_times('aaa', 'a')
3
>>> how_many_times('aaaa', 'aa')
3
"""
times = 0
for i ... | how_many_times | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"''",
"''"
],
[
"'three'",
"'three'"
],
[
"'three five nine'",
"'three five nine'"
],
[
"'five zero four seven nine eight'",
"'zero four five seven eight nine'"
],
[
"'six five four three two one zero'",
"'zero one two three four five six'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'three one five'",
"'one three five'"
]
] | null | python | HumanEval_19 | from typing import List
def sort_numbers(numbers: str) -> str:
""" Input is a space-delimited string of numberals from 'zero' to 'nine'.
Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.
Return the string with numbers sorted from smallest to largest
"... | [
"from typing import List"
] | Input is a space-delimited string of numberals from 'zero' to 'nine'.
Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.
Return the string with numbers sorted from smallest to largest | from typing import List
def sort_numbers(numbers: str) -> str:
""" Input is a space-delimited string of numberals from 'zero' to 'nine'.
Valid choices are 'zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight' and 'nine'.
Return the string with numbers sorted from smallest to largest
>... | sort_numbers | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1.0, 2.0, 3.9, 4.0, 5.0, 2.2]",
"(3.9, 4.0)"
],
[
"[1.0, 2.0, 5.9, 4.0, 5.0]",
"(5.0, 5.9)"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.2]",
"(2.0, 2.2)"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.0]",
"(2.0, 2.0)"
],
[
"[1.1, 2.2, 3.1, 4.1, 5.1]",
"(2.2, 3.1)"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.2]",
"(2.0, 2.2)"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0, 2.0]",
"(2.0, 2.0)"
]
] | null | python | HumanEval_20 | from typing import List, Tuple
def find_closest_elements(numbers: List[float]) -> Tuple[float, float]:
""" From a supplied list of numbers (of length at least two) select and return two that are the closest to each
other and return them in order (smaller number, larger number).
"""
| [
"from typing import List, Tuple"
] | From a supplied list of numbers (of length at least two) select and return two that are the closest to each
other and return them in order (smaller number, larger number). | from typing import List, Tuple
def find_closest_elements(numbers: List[float]) -> Tuple[float, float]:
""" From a supplied list of numbers (of length at least two) select and return two that are the closest to each
other and return them in order (smaller number, larger number).
>>> find_closest_elements([... | find_closest_elements | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[2.0, 49.9]",
"[0.0, 1.0]"
],
[
"[100.0, 49.9]",
"[1.0, 0.0]"
],
[
"[1.0, 2.0, 3.0, 4.0, 5.0]",
"[0.0, 0.25, 0.5, 0.75, 1.0]"
],
[
"[2.0, 1.0, 5.0, 3.0, 4.0]",
"[0.25, 0.0, 1.0, 0.5, 0.75]"
],
[
"[12.0, 11.0, 15.0, 13.0, 14.0]",
"[0.25, 0.0, 1.0, 0.5, 0.75]... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1.0, 2.0, 3.0, 4.0, 5.0]",
"[0.0, 0.25, 0.5, 0.75, 1.0]"
]
] | null | python | HumanEval_21 | from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
""" Given list of numbers (of at least two elements), apply a linear transform to that list,
such that the smallest number will become 0 and the largest will become 1
"""
| [
"from typing import List"
] | Given list of numbers (of at least two elements), apply a linear transform to that list,
such that the smallest number will become 0 and the largest will become 1 | from typing import List
def rescale_to_unit(numbers: List[float]) -> List[float]:
""" Given list of numbers (of at least two elements), apply a linear transform to that list,
such that the smallest number will become 0 and the largest will become 1
>>> rescale_to_unit([1.0, 2.0, 3.0, 4.0, 5.0])
[0.0, ... | rescale_to_unit | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[]",
"[]"
],
[
"[4, {}, [], 23.2, 9, 'adasd']",
"[4, 9]"
],
[
"[3, 'c', 3, 3, 'a', 'b']",
"[3, 3, 3]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"['a', 3.14, 5]",
"[5]"
],
[
"[1, 2, 3, 'abc', {}, []]",
"[1, 2, 3]"
]
] | null | python | HumanEval_22 | from typing import List, Any
def filter_integers(values: List[Any]) -> List[int]:
""" Filter given list of any python values only for integers
"""
| [
"from typing import List, Any"
] | Filter given list of any python values only for integers | 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)... | filter_integers | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"''",
"0"
],
[
"'x'",
"1"
],
[
"'asdasnakj'",
"9"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"''",
"0"
],
[
"'abc'",
"3"
]
] | null | python | HumanEval_23 |
def strlen(string: str) -> int:
""" Return length of given string
"""
| [] | Return length of given string |
def strlen(string: str) -> int:
""" Return length of given string
>>> strlen('')
0
>>> strlen('abc')
3
"""
return len(string)
| strlen | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"3",
"1"
],
[
"7",
"1"
],
[
"10",
"5"
],
[
"100",
"50"
],
[
"49",
"7"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"15",
"5"
]
] | null | python | HumanEval_24 |
def largest_divisor(n: int) -> int:
""" For a given number n, find the largest number that divides n evenly, smaller than n
"""
| [] | For a given number n, find the largest number that divides n evenly, smaller than n |
def largest_divisor(n: int) -> int:
""" For a given number n, find the largest number that divides n evenly, smaller than n
>>> largest_divisor(15)
5
"""
for i in reversed(range(n)):
if n % i == 0:
return i
| largest_divisor | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"2",
"[2]"
],
[
"4",
"[2, 2]"
],
[
"8",
"[2, 2, 2]"
],
[
"3 * 19",
"[3, 19]"
],
[
"3 * 19 * 3 * 19",
"[3, 3, 19, 19]"
],
[
"3 * 19 * 3 * 19 * 3 * 19",
"[3, 3, 3, 19, 19, 19]"
],
[
"3 * 19 * 19 * 19",
"[3, 19, 19, 19]"
],
[
"3 ... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"8",
"[2, 2, 2]"
],
[
"25",
"[5, 5]"
],
[
"70",
"[2, 5, 7]"
]
] | null | python | HumanEval_25 | from typing import List
def factorize(n: int) -> List[int]:
""" Return list of prime factors of given integer in the order from smallest to largest.
Each of the factors should be listed number of times corresponding to how many times it appeares in factorization.
Input number should be equal to the produc... | [
"from typing import List"
] | Return list of prime factors of given integer in the order from smallest to largest.
Each of the factors should be listed number of times corresponding to how many times it appeares in factorization.
Input number should be equal to the product of all factors | from typing import List
def factorize(n: int) -> List[int]:
""" Return list of prime factors of given integer in the order from smallest to largest.
Each of the factors should be listed number of times corresponding to how many times it appeares in factorization.
Input number should be equal to the produc... | factorize | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[]",
"[]"
],
[
"[1, 2, 3, 4]",
"[1, 2, 3, 4]"
],
[
"[1, 2, 3, 2, 4, 3, 5]",
"[1, 4, 5]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 3, 2, 4]",
"[1, 3, 4]"
]
] | null | python | HumanEval_26 | from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
""" From a list of integers, remove all elements that occur more than once.
Keep order of elements left the same as in the input.
"""
| [
"from typing import List"
] | From a list of integers, remove all elements that occur more than once.
Keep order of elements left the same as in the input. | from typing import List
def remove_duplicates(numbers: List[int]) -> List[int]:
""" From a list of integers, remove all elements that occur more than once.
Keep order of elements left the same as in the input.
>>> remove_duplicates([1, 2, 3, 2, 4])
[1, 3, 4]
"""
import collections
c = coll... | remove_duplicates | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"''",
"''"
],
[
"'Hello!'",
"'hELLO!'"
],
[
"'These violent delights have violent ends'",
"'tHESE VIOLENT DELIGHTS HAVE VIOLENT ENDS'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'Hello'",
"'hELLO'"
]
] | null | python | HumanEval_27 |
def flip_case(string: str) -> str:
""" For a given string, flip lowercase characters to uppercase and uppercase to lowercase.
"""
| [] | For a given string, flip lowercase characters to uppercase and uppercase to lowercase. |
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()
| flip_case | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[]",
"''"
],
[
"['x', 'y', 'z']",
"'xyz'"
],
[
"['x', 'y', 'z', 'w', 'k']",
"'xyzwk'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[]",
"''"
],
[
"['a', 'b', 'c']",
"'abc'"
]
] | null | python | HumanEval_28 | from typing import List
def concatenate(strings: List[str]) -> str:
""" Concatenate list of strings into a single string
"""
| [
"from typing import List"
] | Concatenate list of strings into a single string | from typing import List
def concatenate(strings: List[str]) -> str:
""" Concatenate list of strings into a single string
>>> concatenate([])
''
>>> concatenate(['a', 'b', 'c'])
'abc'
"""
return ''.join(strings)
| concatenate | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[], 'john'",
"[]"
],
[
"['xxx', 'asd', 'xxy', 'john doe', 'xxxAAA', 'xxx'], 'xxx'",
"['xxx', 'xxxAAA', 'xxx']"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[], 'a'",
"[]"
],
[
"['abc', 'bcd', 'cde', 'array'], 'a'",
"['abc', 'array']"
]
] | null | python | HumanEval_29 | from typing import List
def filter_by_prefix(strings: List[str], prefix: str) -> List[str]:
""" Filter an input list of strings only for ones that start with a given prefix.
"""
| [
"from typing import List"
] | Filter an input list of strings only for ones that start with a given prefix. | from typing import List
def filter_by_prefix(strings: List[str], prefix: str) -> List[str]:
""" Filter an input list of strings only for ones that start with a given prefix.
>>> filter_by_prefix([], 'a')
[]
>>> filter_by_prefix(['abc', 'bcd', 'cde', 'array'], 'a')
['abc', 'array']
"""
retu... | filter_by_prefix | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[-1, -2, 4, 5, 6]",
"[4, 5, 6]"
],
[
"[5, 3, -5, 2, 3, 3, 9, 0, 123, 1, -10]",
"[5, 3, 2, 3, 3, 9, 123, 1]"
],
[
"[-1, -2]",
"[]"
],
[
"[]",
"[]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[-1, 2, -4, 5, 6]",
"[2, 5, 6]"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]",
"[5, 3, 2, 3, 9, 123, 1]"
]
] | null | python | HumanEval_30 |
def get_positive(l: list):
"""Return only positive numbers in the list.
"""
| [] | Return only positive numbers in the list. |
def get_positive(l: list):
"""Return only positive numbers in the list.
>>> get_positive([-1, 2, -4, 5, 6])
[2, 5, 6]
>>> get_positive([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])
[5, 3, 2, 3, 9, 123, 1]
"""
return [e for e in l if e > 0]
| get_positive | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"6",
"False"
],
[
"101",
"True"
],
[
"11",
"True"
],
[
"13441",
"True"
],
[
"61",
"True"
],
[
"4",
"False"
],
[
"1",
"False"
],
[
"5",
"True"
],
[
"11",
"True"
],
[
"17",
"True"
],
[
"5 * 17... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"6",
"False"
],
[
"101",
"True"
],
[
"11",
"True"
],
[
"13441",
"True"
],
[
"61",
"True"
],
[
"4",
"False"
],
[
"1",
"False"
]
] | null | python | HumanEval_31 |
def is_prime(n):
"""Return true if a given number is prime, and false otherwise.
"""
| [] | Return true if a given number is prime, and false otherwise. |
def is_prime(n):
"""Return true if a given number is prime, and false otherwise.
>>> is_prime(6)
False
>>> is_prime(101)
True
>>> is_prime(11)
True
>>> is_prime(13441)
True
>>> is_prime(61)
True
>>> is_prime(4)
False
>>> is_prime(1)
False
"""
if n < ... | is_prime | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 2]",
"[1, 2]"
],
[
"[-6, 11, -6, 1]",
"[-6, 11, -6, 1]"
],
[
"[3, -4]",
"[3, -4]"
],
[
"[5, 0, -20]",
"[5, 0, -20]"
],
[
"[-1, 0, 0, 1]",
"[-1, 0, 0, 1]"
]
] | inputs = {input_list}
results = {output_list}
candidate = {func_entry}
for i, (inp, exp) in enumerate(zip(inputs, results)):
assert math.fabs(poly(inp[0], candidate(*inp))) < 1e-4 | [
[
"x",
"0."
],
[
"find_zero([1, 2]), 2) # f(x",
"1 + 2x"
],
[
"find_zero([-6, 11, -6, 1]), 2) # (x - 1) * (x - 2) * (x - 3",
"-6 + 11x - 6x^2 + x^3"
]
] | null | python | HumanEval_32 | 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):
""" xs are coefficients of a polynomia... | [
"import math"
] | Evaluates polynomial with coefficients xs at point x.
return xs[0] + xs[1] * x + xs[1] * x^2 + .... xs[n] * x^n | import math
def poly(xs: list, x: float):
"""
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):
""" xs are coefficients of a polynomia... | find_zero | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 2, 3]",
"[1, 2, 3]"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]",
"[1, 3, -5, 2, -3, 3, 5, 0, 123, 9, -10]"
],
[
"[5, 8, -12, 4, 23, 2, 3, 11, 12, -10]",
"[-10, 8, -12, 3, 23, 2, 4, 11, 12, 5]"
],
[
"[5, 6, 3, 4, 8, 9, 2, 1]",
"[2, 6, 3, 4, 8, 9, 5, 1]"
],
[
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 3]",
"[1, 2, 3]"
],
[
"[5, 6, 3, 4, 8, 9, 2]",
"[2, 6, 3, 4, 8, 9, 5]"
]
] | null | python | HumanEval_33 |
def sort_third(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal
to the values of the corresponding indicies of l, but sorted.
"""
| [] | This function takes a list l and returns a list l' such that
l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal
to the values of the corresponding indicies of l, but sorted. |
def sort_third(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the indicies that are not divisible by three, while its values at the indicies that are divisible by three are equal
to the values of the corresponding indicies of l, but sorted.
>>> sort_t... | sort_third | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[5, 3, 5, 2, 3, 3, 9, 0, 123]",
"[0, 2, 3, 5, 9, 123]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[5, 3, 5, 2, 3, 3, 9, 0, 123]",
"[0, 2, 3, 5, 9, 123]"
]
] | null | python | HumanEval_34 |
def unique(l: list):
"""Return sorted unique elements in a list
"""
| [] | Return sorted unique elements in a list |
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)))
| unique | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 2, 3]",
"3"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 124, 1, -10]",
"124"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 3]",
"3"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]",
"123"
]
] | null | python | HumanEval_35 |
def max_element(l: list):
"""Return maximum element in the list.
"""
| [] | Return maximum element in the list. |
def max_element(l: list):
"""Return maximum element in the list.
>>> max_element([1, 2, 3])
3
>>> max_element([5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10])
123
"""
m = l[0]
for e in l:
if e > m:
m = e
return m
| max_element | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"50",
"0"
],
[
"78",
"2"
],
[
"79",
"3"
],
[
"100",
"3"
],
[
"200",
"6"
],
[
"4000",
"192"
],
[
"10000",
"639"
],
[
"100000",
"8026"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"50",
"0"
],
[
"78",
"2"
],
[
"79",
"3"
]
] | null | python | HumanEval_36 |
def fizz_buzz(n: int):
"""Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.
"""
| [] | Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13. |
def fizz_buzz(n: int):
"""Return the number of times the digit 7 appears in integers less than n which are divisible by 11 or 13.
>>> fizz_buzz(50)
0
>>> fizz_buzz(78)
2
>>> fizz_buzz(79)
3
"""
ns = []
for i in range(n):
if i % 11 == 0 or i % 13 == 0:
ns.app... | fizz_buzz | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 2, 3]",
"[1, 2, 3]"
],
[
"[5, 3, -5, 2, -3, 3, 9, 0, 123, 1, -10]",
"[-10, 3, -5, 2, -3, 3, 5, 0, 9, 1, 123]"
],
[
"[5, 8, -12, 4, 23, 2, 3, 11, 12, -10]",
"[-12, 8, 3, 4, 5, 2, 12, 11, 23, -10]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 3]",
"[1, 2, 3]"
],
[
"[5, 6, 3, 4]",
"[3, 6, 5, 4]"
]
] | null | python | HumanEval_37 |
def sort_even(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the odd indicies, while its values at the even indicies are equal
to the values of the even indicies of l, but sorted.
"""
| [] | This function takes a list l and returns a list l' such that
l' is identical to l in the odd indicies, while its values at the even indicies are equal
to the values of the even indicies of l, but sorted. |
def sort_even(l: list):
"""This function takes a list l and returns a list l' such that
l' is identical to l in the odd indicies, while its values at the even indicies are equal
to the values of the even indicies of l, but sorted.
>>> sort_even([1, 2, 3])
[1, 2, 3]
>>> sort_even([5, 6, 3, 4])
... | sort_even | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'eaztdrcpoojjs'",
"'zeartdocpjojs'"
],
[
"'fcsasgmhiqc'",
"'sfcgasimhqc'"
],
[
"'avmirjdeqbylxuau'",
"'mavjirqdelbyaxuu'"
],
[
"'azhacmsfsnfsg'",
"'hazmacssfsnfg'"
],
[
"'zbvkvwoatdccvw'",
"'vzbwkvtoacdcvw'"
],
[
"'mqzfshjknuz'",
"'zmqhfsnjkuz'"... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"group",
"3 else group for group in groups]"
]
] | null | python | HumanEval_38 |
def encode_cyclic(s: str):
"""
returns encoded string by cycling groups of three characters.
"""
# split string to groups. Each of length 3.
groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]
# cycle elements in each group. Unless group has fewer elements than 3.
... | [] | returns encoded string by cycling groups of three characters. |
def encode_cyclic(s: str):
"""
returns encoded string by cycling groups of three characters.
"""
# split string to groups. Each of length 3.
groups = [s[(3 * i):min((3 * i + 3), len(s))] for i in range((len(s) + 2) // 3)]
# cycle elements in each group. Unless group has fewer elements than 3.
... | decode_cyclic | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"1",
"2"
],
[
"2",
"3"
],
[
"3",
"5"
],
[
"4",
"13"
],
[
"5",
"89"
],
[
"6",
"233"
],
[
"7",
"1597"
],
[
"8",
"28657"
],
[
"9",
"514229"
],
[
"10",
"433494437"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"1",
"2"
],
[
"2",
"3"
],
[
"3",
"5"
],
[
"4",
"13"
],
[
"5",
"89"
]
] | null | python | HumanEval_39 |
def prime_fib(n: int):
"""
prime_fib returns n-th number that is a Fibonacci number and it's also prime.
"""
| [] | prime_fib returns n-th number that is a Fibonacci number and it's also prime. |
def prime_fib(n: int):
"""
prime_fib returns n-th number that is a Fibonacci number and it's also prime.
>>> prime_fib(1)
2
>>> prime_fib(2)
3
>>> prime_fib(3)
5
>>> prime_fib(4)
13
>>> prime_fib(5)
89
"""
import math
def is_prime(p):
if p < 2:
... | prime_fib | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 3, 5, 0]",
"False"
],
[
"[1, 3, 5, -1]",
"False"
],
[
"[1, 3, -2, 1]",
"True"
],
[
"[1, 2, 3, 7]",
"False"
],
[
"[1, 2, 5, 7]",
"False"
],
[
"[2, 4, -5, 3, 9, 7]",
"True"
],
[
"[1]",
"False"
],
[
"[1, 3, 5, -100]",
"F... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 3, 5, 0]",
"False"
],
[
"[1, 3, -2, 1]",
"True"
],
[
"[1, 2, 3, 7]",
"False"
],
[
"[2, 4, -5, 3, 9, 7]",
"True"
],
[
"[1]",
"False"
]
] | null | python | HumanEval_40 |
def triples_sum_to_zero(l: list):
"""
triples_sum_to_zero takes a list of integers as an input.
it returns True if there are three distinct elements in the list that
sum to zero, and False otherwise.
"""
| [] | triples_sum_to_zero takes a list of integers as an input.
it returns True if there are three distinct elements in the list that
sum to zero, and False otherwise. |
def triples_sum_to_zero(l: list):
"""
triples_sum_to_zero takes a list of integers as an input.
it returns True if there are three distinct elements in the list that
sum to zero, and False otherwise.
>>> triples_sum_to_zero([1, 3, 5, 0])
False
>>> triples_sum_to_zero([1, 3, -2, 1])
Tr... | triples_sum_to_zero | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"2",
"4"
],
[
"3",
"9"
],
[
"4",
"16"
],
[
"8",
"64"
],
[
"10",
"100"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [] | null | python | HumanEval_41 |
def car_race_collision(n: int):
"""
Imagine a road that's a perfectly straight infinitely long line.
n cars are driving left to right; simultaneously, a different set of n cars
are driving right to left. The two sets of cars start out being very far from
each other. All cars move in the same s... | [] | Imagine a road that's a perfectly straight infinitely long line.
n cars are driving left to right; simultaneously, a different set of n cars
are driving right to left. The two sets of cars start out being very far from
each other. All cars move in the same speed. Two cars are said to collide
when a... |
def car_race_collision(n: int):
"""
Imagine a road that's a perfectly straight infinitely long line.
n cars are driving left to right; simultaneously, a different set of n cars
are driving right to left. The two sets of cars start out being very far from
each other. All cars move in the same s... | car_race_collision | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[]",
"[]"
],
[
"[3, 2, 1]",
"[4, 3, 2]"
],
[
"[5, 2, 5, 2, 3, 3, 9, 0, 123]",
"[6, 3, 6, 3, 4, 4, 10, 1, 124]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 3]",
"[2, 3, 4]"
],
[
"[5, 3, 5, 2, 3, 3, 9, 0, 123]",
"[6, 4, 6, 3, 4, 4, 10, 1, 124]"
]
] | null | python | HumanEval_42 |
def incr_list(l: list):
"""Return list with elements incremented by 1.
"""
| [] | Return list with elements incremented by 1. |
def incr_list(l: list):
"""Return list with elements incremented by 1.
>>> incr_list([1, 2, 3])
[2, 3, 4]
>>> incr_list([5, 3, 5, 2, 3, 3, 9, 0, 123])
[6, 4, 6, 3, 4, 4, 10, 1, 124]
"""
return [(e + 1) for e in l]
| incr_list | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 3, 5, 0]",
"False"
],
[
"[1, 3, -2, 1]",
"False"
],
[
"[1, 2, 3, 7]",
"False"
],
[
"[2, 4, -5, 3, 5, 7]",
"True"
],
[
"[1]",
"False"
],
[
"[-3, 9, -1, 3, 2, 30]",
"True"
],
[
"[-3, 9, -1, 3, 2, 31]",
"True"
],
[
"[-3, 9, ... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 3, 5, 0]",
"False"
],
[
"[1, 3, -2, 1]",
"False"
],
[
"[1, 2, 3, 7]",
"False"
],
[
"[2, 4, -5, 3, 5, 7]",
"True"
],
[
"[1]",
"False"
]
] | null | python | HumanEval_43 |
def pairs_sum_to_zero(l):
"""
pairs_sum_to_zero takes a list of integers as an input.
it returns True if there are two distinct elements in the list that
sum to zero, and False otherwise.
"""
| [] | pairs_sum_to_zero takes a list of integers as an input.
it returns True if there are two distinct elements in the list that
sum to zero, and False otherwise. |
def pairs_sum_to_zero(l):
"""
pairs_sum_to_zero takes a list of integers as an input.
it returns True if there are two distinct elements in the list that
sum to zero, and False otherwise.
>>> pairs_sum_to_zero([1, 3, 5, 0])
False
>>> pairs_sum_to_zero([1, 3, -2, 1])
False
>>> pairs... | pairs_sum_to_zero | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"8, 3",
"\"22\""
],
[
"9, 3",
"\"100\""
],
[
"234, 2",
"\"11101010\""
],
[
"16, 2",
"\"10000\""
],
[
"8, 2",
"\"1000\""
],
[
"7, 2",
"\"111\""
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"8, 3",
"'22'"
],
[
"8, 2",
"'1000'"
],
[
"7, 2",
"'111'"
]
] | null | python | HumanEval_44 |
def change_base(x: int, base: int):
"""Change numerical base of input number x to base.
return string representation after the conversion.
base numbers are less than 10.
"""
| [] | Change numerical base of input number x to base.
return string representation after the conversion.
base numbers are less than 10. |
def change_base(x: int, base: int):
"""Change numerical base of input number x to base.
return string representation after the conversion.
base numbers are less than 10.
>>> change_base(8, 3)
'22'
>>> change_base(8, 2)
'1000'
>>> change_base(7, 2)
'111'
"""
ret = ""
whi... | change_base | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": [
"int"
],
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"5, 3",
"7.5"
],
[
"2, 2",
"2.0"
],
[
"10, 8",
"40.0"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"5, 3",
"7.5"
]
] | null | python | HumanEval_45 |
def triangle_area(a, h):
"""Given length of a side and high return area for a triangle.
"""
| [] | Given length of a side and high return area for a triangle. |
def triangle_area(a, h):
"""Given length of a side and high return area for a triangle.
>>> triangle_area(5, 3)
7.5
"""
return a * h / 2.0
| triangle_area | {
"input": {
"N": null,
"S": null,
"a": [
"int"
],
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"5",
"4"
],
[
"8",
"28"
],
[
"10",
"104"
],
[
"12",
"386"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"5",
"4"
],
[
"6",
"8"
],
[
"7",
"14"
]
] | null | python | HumanEval_46 |
def fib4(n: int):
"""The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fib4(0) -> 0
fib4(1) -> 0
fib4(2) -> 2
fib4(3) -> 0
fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).
Please write a function to efficiently compute the n-th el... | [] | The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fib4(0) -> 0
fib4(1) -> 0
fib4(2) -> 2
fib4(3) -> 0
fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).
Please write a function to efficiently compute the n-th element of the fib4 number se... |
def fib4(n: int):
"""The Fib4 number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fib4(0) -> 0
fib4(1) -> 0
fib4(2) -> 2
fib4(3) -> 0
fib4(n) -> fib4(n-1) + fib4(n-2) + fib4(n-3) + fib4(n-4).
Please write a function to efficiently compute the n-th el... | fib4 | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[3, 1, 2, 4, 5]",
"3"
],
[
"[-10, 4, 6, 1000, 10, 20]",
"8.0"
],
[
"[5]",
"5"
],
[
"[6, 5]",
"5.5"
],
[
"[8, 1, 3, 9, 9, 2, 7]",
"7"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[3, 1, 2, 4, 5]",
"3"
],
[
"[-10, 4, 6, 1000, 10, 20]",
"15.0"
]
] | null | python | HumanEval_47 |
def median(l: list):
"""Return median of elements in the list l.
"""
| [] | Return median of elements in the list l. |
def median(l: list):
"""Return median of elements in the list l.
>>> median([3, 1, 2, 4, 5])
3
>>> median([-10, 4, 6, 1000, 10, 20])
15.0
"""
l = sorted(l)
if len(l) % 2 == 1:
return l[len(l) // 2]
else:
return (l[len(l) // 2 - 1] + l[len(l) // 2]) / 2.0
| median | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"''",
"True"
],
[
"'aba'",
"True"
],
[
"'aaaaa'",
"True"
],
[
"'zbcd'",
"False"
],
[
"'xywyx'",
"True"
],
[
"'xywyz'",
"False"
],
[
"'xywzx'",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"''",
"True"
],
[
"'aba'",
"True"
],
[
"'aaaaa'",
"True"
],
[
"'zbcd'",
"False"
]
] | null | python | HumanEval_48 |
def is_palindrome(text: str):
"""
Checks if given string is a palindrome
"""
| [] | Checks if given string is a palindrome |
def is_palindrome(text: str):
"""
Checks if given string is a palindrome
>>> is_palindrome('')
True
>>> is_palindrome('aba')
True
>>> is_palindrome('aaaaa')
True
>>> is_palindrome('zbcd')
False
"""
for i in range(len(text)):
if text[i] != text[len(text) - 1 - i]... | is_palindrome | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"3, 5",
"3"
],
[
"1101, 101",
"2"
],
[
"0, 101",
"1"
],
[
"3, 11",
"8"
],
[
"100, 101",
"1"
],
[
"30, 5",
"4"
],
[
"31, 5",
"3"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"3, 5",
"3"
],
[
"1101, 101",
"2"
],
[
"0, 101",
"1"
],
[
"3, 11",
"8"
],
[
"100, 101",
"1"
]
] | null | python | HumanEval_49 |
def modp(n: int, p: int):
"""Return 2^n modulo p (be aware of numerics).
"""
| [] | Return 2^n modulo p (be aware of numerics). |
def modp(n: int, p: int):
"""Return 2^n modulo p (be aware of numerics).
>>> modp(3, 5)
3
>>> modp(1101, 101)
2
>>> modp(0, 101)
1
>>> modp(3, 11)
8
>>> modp(100, 101)
1
"""
ret = 1
for i in range(n):
ret = (2 * ret) % p
return ret
| modp | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"\"nppetuavkhytds\"",
"\"ikkzopvqfctoyn\""
],
[
"\"jkwevzwwetoiui\"",
"\"efrzqurrzojdpd\""
],
[
"\"deqhgbmrgyvolvllvgu\"",
"\"yzlcbwhmbtqjgqggqbp\""
],
[
"\"adwtpwmzzsba\"",
"\"vyrokrhuunwv\""
],
[
"\"kviyfxcqqk\"",
"\"fqdtasxllf\""
],
[
"\"owuxsmtkq... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [] | null | python | HumanEval_50 |
def encode_shift(s: str):
"""
returns encoded string by shifting every character by 5 in the alphabet.
"""
return "".join([chr(((ord(ch) + 5 - ord("a")) % 26) + ord("a")) for ch in s])
def decode_shift(s: str):
"""
takes as input string encoded with encode_shift function. Returns decoded str... | [] | returns encoded string by shifting every character by 5 in the alphabet. |
def encode_shift(s: str):
"""
returns encoded string by shifting every character by 5 in the alphabet.
"""
return "".join([chr(((ord(ch) + 5 - ord("a")) % 26) + ord("a")) for ch in s])
def decode_shift(s: str):
"""
takes as input string encoded with encode_shift function. Returns decoded str... | decode_shift | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"''",
"''"
],
[
"\"abcdef\\nghijklm\"",
"'bcdf\\nghjklm'"
],
[
"'fedcba'",
"'fdcb'"
],
[
"'eeeee'",
"''"
],
[
"'acBAA'",
"'cB'"
],
[
"'EcBOO'",
"'cB'"
],
[
"'ybcd'",
"'ybcd'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"''",
"''"
],
[
"\"abcdef\\nghijklm\"",
"'bcdf\\nghjklm'"
],
[
"'abcdef'",
"'bcdf'"
],
[
"'aaaaa'",
"''"
],
[
"'aaBAA'",
"'B'"
],
[
"'zbcd'",
"'zbcd'"
]
] | null | python | HumanEval_51 |
def remove_vowels(text):
"""
remove_vowels is a function that takes string and returns string without vowels.
"""
| [] | remove_vowels is a function that takes string and returns string without vowels. |
def remove_vowels(text):
"""
remove_vowels is a function that takes string and returns string without vowels.
>>> remove_vowels('')
''
>>> remove_vowels("abcdef\nghijklm")
'bcdf\nghjklm'
>>> remove_vowels('abcdef')
'bcdf'
>>> remove_vowels('aaaaa')
''
>>> remove_vowels('aaB... | remove_vowels | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 2, 4, 10], 100",
"True"
],
[
"[1, 20, 4, 10], 5",
"False"
],
[
"[1, 20, 4, 10], 21",
"True"
],
[
"[1, 20, 4, 10], 22",
"True"
],
[
"[1, 8, 4, 10], 11",
"True"
],
[
"[1, 8, 4, 10], 10",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 4, 10], 100",
"True"
],
[
"[1, 20, 4, 10], 5",
"False"
]
] | null | python | HumanEval_52 |
def below_threshold(l: list, t: int):
"""Return True if all numbers in the list l are below threshold t.
"""
| [] | Return True if all numbers in the list l are below threshold t. |
def below_threshold(l: list, t: int):
"""Return True if all numbers in the list l are below threshold t.
>>> below_threshold([1, 2, 4, 10], 100)
True
>>> below_threshold([1, 20, 4, 10], 5)
False
"""
for e in l:
if e >= t:
return False
return True
| below_threshold | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"0, 1",
"1"
],
[
"1, 0",
"1"
],
[
"2, 3",
"5"
],
[
"5, 7",
"12"
],
[
"7, 5",
"12"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"2, 3",
"5"
],
[
"5, 7",
"12"
]
] | null | python | HumanEval_53 |
def add(x: int, y: int):
"""Add two numbers x and y
"""
| [] | Add two numbers x and y |
def add(x: int, y: int):
"""Add two numbers x and y
>>> add(2, 3)
5
>>> add(5, 7)
12
"""
return x + y
| add | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'eabcdzzzz', 'dddzzzzzzzddeddabc'",
"True"
],
[
"'abcd', 'dddddddabc'",
"True"
],
[
"'dddddddabc', 'abcd'",
"True"
],
[
"'eabcd', 'dddddddabc'",
"False"
],
[
"'abcd', 'dddddddabcf'",
"False"
],
[
"'eabcdzzzz', 'dddzzzzzzzddddabc'",
"False"
],
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'eabcdzzzz', 'dddzzzzzzzddeddabc'",
"True"
],
[
"'abcd', 'dddddddabc'",
"True"
],
[
"'dddddddabc', 'abcd'",
"True"
],
[
"'eabcd', 'dddddddabc'",
"False"
],
[
"'abcd', 'dddddddabce'",
"False"
],
[
"'eabcdzzzz', 'dddzzzzzzzddddabc'",
"False"
]
] | null | python | HumanEval_54 |
def same_chars(s0: str, s1: str):
"""
Check if two words have the same characters.
"""
| [] | Check if two words have the same characters. |
def same_chars(s0: str, s1: str):
"""
Check if two words have the same characters.
>>> same_chars('eabcdzzzz', 'dddzzzzzzzddeddabc')
True
>>> same_chars('abcd', 'dddddddabc')
True
>>> same_chars('dddddddabc', 'abcd')
True
>>> same_chars('eabcd', 'dddddddabc')
False
>>> same... | same_chars | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"10",
"55"
],
[
"1",
"1"
],
[
"8",
"21"
],
[
"11",
"89"
],
[
"12",
"144"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"10",
"55"
],
[
"1",
"1"
],
[
"8",
"21"
]
] | null | python | HumanEval_55 |
def fib(n: int):
"""Return n-th Fibonacci number.
"""
| [] | Return n-th Fibonacci number. |
def fib(n: int):
"""Return n-th Fibonacci number.
>>> fib(10)
55
>>> fib(1)
1
>>> fib(8)
21
"""
if n == 0:
return 0
if n == 1:
return 1
return fib(n - 1) + fib(n - 2)
| fib | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'<>'",
"True"
],
[
"'<<><>>'",
"True"
],
[
"'<><><<><>><>'",
"True"
],
[
"'<<<><>>>>'",
"False"
],
[
"'><<>'",
"False"
],
[
"'<'",
"False"
],
[
"'<<<<'",
"False"
],
[
"'>'",
"False"
],
[
"'<<>'",
"False"
],
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"\"<\"",
"False"
],
[
"\"<>\"",
"True"
],
[
"\"<<><>>\"",
"True"
],
[
"\"><<>\"",
"False"
]
] | null | python | HumanEval_56 |
def correct_bracketing(brackets: str):
""" brackets is a string of "<" and ">".
return True if every opening bracket has a corresponding closing bracket.
"""
| [] | brackets is a string of "<" and ">".
return True if every opening bracket has a corresponding closing bracket. |
def correct_bracketing(brackets: str):
""" brackets is a string of "<" and ">".
return True if every opening bracket has a corresponding closing bracket.
>>> correct_bracketing("<")
False
>>> correct_bracketing("<>")
True
>>> correct_bracketing("<<><>>")
True
>>> correct_bracketin... | correct_bracketing | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": [
"str"
],
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"[1, 2, 4, 10]",
"True"
],
[
"[1, 2, 4, 20]",
"True"
],
[
"[1, 20, 4, 10]",
"False"
],
[
"[4, 1, 0, -10]",
"True"
],
[
"[4, 1, 1, 0]",
"True"
],
[
"[1, 2, 3, 2, 5, 60]",
"False"
],
[
"[1, 2, 3, 4, 5, 60]",
"True"
],
[
"[9, 9, ... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 4, 20]",
"True"
],
[
"[1, 20, 4, 10]",
"False"
],
[
"[4, 1, 0, -10]",
"True"
]
] | null | python | HumanEval_57 |
def monotonic(l: list):
"""Return True is list elements are monotonically increasing or decreasing.
"""
| [] | Return True is list elements are monotonically increasing or decreasing. |
def monotonic(l: list):
"""Return True is list elements are monotonically increasing or decreasing.
>>> monotonic([1, 2, 4, 20])
True
>>> monotonic([1, 20, 4, 10])
False
>>> monotonic([4, 1, 0, -10])
True
"""
if l == sorted(l) or l == sorted(l, reverse=True):
return True
... | monotonic | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121]",
"[1, 5, 653]"
],
[
"[5, 3, 2, 8], [3, 2]",
"[2, 3]"
],
[
"[4, 3, 2, 8], [3, 2, 4]",
"[2, 3, 4]"
],
[
"[4, 3, 2, 8], []",
"[]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121]",
"[1, 5, 653]"
],
[
"[5, 3, 2, 8], [3, 2]",
"[2, 3]"
]
] | null | python | HumanEval_58 |
def common(l1: list, l2: list):
"""Return sorted unique common elements for two lists.
"""
| [] | Return sorted unique common elements for two lists. |
def common(l1: list, l2: list):
"""Return sorted unique common elements for two lists.
>>> common([1, 4, 3, 34, 653, 2, 5], [5, 7, 1, 5, 9, 653, 121])
[1, 5, 653]
>>> common([5, 3, 2, 8], [3, 2])
[2, 3]
"""
ret = set()
for e1 in l1:
for e2 in l2:
if e1 == e2:
... | common | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"15",
"5"
],
[
"27",
"3"
],
[
"63",
"7"
],
[
"330",
"11"
],
[
"13195",
"29"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"13195",
"29"
],
[
"2048",
"2"
]
] | null | python | HumanEval_59 |
def largest_prime_factor(n: int):
"""Return the largest prime factor of n. Assume n > 1 and is not a prime.
"""
| [] | Return the largest prime factor of n. Assume n > 1 and is not a prime. |
def largest_prime_factor(n: int):
"""Return the largest prime factor of n. Assume n > 1 and is not a prime.
>>> largest_prime_factor(13195)
29
>>> largest_prime_factor(2048)
2
"""
def is_prime(k):
if k < 2:
return False
for i in range(2, k - 1):
if k... | largest_prime_factor | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"1",
"1"
],
[
"6",
"21"
],
[
"11",
"66"
],
[
"30",
"465"
],
[
"100",
"5050"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"30",
"465"
],
[
"100",
"5050"
],
[
"5",
"15"
],
[
"10",
"55"
],
[
"1",
"1"
]
] | null | python | HumanEval_60 |
def sum_to_n(n: int):
"""sum_to_n is a function that sums numbers from 1 to n.
"""
| [] | sum_to_n is a function that sums numbers from 1 to n. |
def sum_to_n(n: int):
"""sum_to_n is a function that sums numbers from 1 to n.
>>> sum_to_n(30)
465
>>> sum_to_n(100)
5050
>>> sum_to_n(5)
15
>>> sum_to_n(10)
55
>>> sum_to_n(1)
1
"""
return sum(range(n + 1))
| sum_to_n | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'()'",
"True"
],
[
"'(()())'",
"True"
],
[
"'()()(()())()'",
"True"
],
[
"'()()((()()())())(()()(()))'",
"True"
],
[
"'((()())))'",
"False"
],
[
"')(()'",
"False"
],
[
"'(((('",
"False"
],
[
"'('",
"False"
],
[
"'... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"\"(\"",
"False"
],
[
"\"()\"",
"True"
],
[
"\"(()())\"",
"True"
],
[
"\")(()\"",
"False"
]
] | null | python | HumanEval_61 |
def correct_bracketing(brackets: str):
""" brackets is a string of "(" and ")".
return True if every opening bracket has a corresponding closing bracket.
"""
| [] | brackets is a string of "(" and ")".
return True if every opening bracket has a corresponding closing bracket. |
def correct_bracketing(brackets: str):
""" brackets is a string of "(" and ")".
return True if every opening bracket has a corresponding closing bracket.
>>> correct_bracketing("(")
False
>>> correct_bracketing("()")
True
>>> correct_bracketing("(()())")
True
>>> correct_bracketin... | correct_bracketing | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": [
"str"
],
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"[3, 1, 2, 4, 5]",
"[1, 4, 12, 20]"
],
[
"[1, 2, 3]",
"[2, 6]"
],
[
"[3, 2, 1]",
"[2, 2]"
],
[
"[3, 2, 1, 0, 4]",
"[2, 2, 0, 16]"
],
[
"[1]",
"[]"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[3, 1, 2, 4, 5]",
"[1, 4, 12, 20]"
],
[
"[1, 2, 3]",
"[2, 6]"
]
] | null | python | HumanEval_62 |
def derivative(xs: list):
""" xs represent coefficients of a polynomial.
xs[0] + xs[1] * x + xs[2] * x^2 + ....
Return derivative of this polynomial in the same form.
"""
| [] | xs represent coefficients of a polynomial.
xs[0] + xs[1] * x + xs[2] * x^2 + ....
Return derivative of this polynomial in the same form. |
def derivative(xs: list):
""" xs represent coefficients of a polynomial.
xs[0] + xs[1] * x + xs[2] * x^2 + ....
Return derivative of this polynomial in the same form.
>>> derivative([3, 1, 2, 4, 5])
[1, 4, 12, 20]
>>> derivative([1, 2, 3])
[2, 6]
"""
return [(i * x) for i, x in en... | derivative | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"2",
"1"
],
[
"1",
"0"
],
[
"5",
"4"
],
[
"8",
"24"
],
[
"10",
"81"
],
[
"12",
"274"
],
[
"14",
"927"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"1",
"0"
],
[
"5",
"4"
],
[
"8",
"24"
]
] | null | python | HumanEval_63 |
def fibfib(n: int):
"""The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fibfib(0) == 0
fibfib(1) == 0
fibfib(2) == 1
fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3).
Please write a function to efficiently compute the n-th element of th... | [] | The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fibfib(0) == 0
fibfib(1) == 0
fibfib(2) == 1
fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3).
Please write a function to efficiently compute the n-th element of the fibfib number sequence. |
def fibfib(n: int):
"""The FibFib number sequence is a sequence similar to the Fibbonacci sequnece that's defined as follows:
fibfib(0) == 0
fibfib(1) == 0
fibfib(2) == 1
fibfib(n) == fibfib(n-1) + fibfib(n-2) + fibfib(n-3).
Please write a function to efficiently compute the n-th element of th... | fibfib | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"\"abcde\"",
"2"
],
[
"\"Alone\"",
"3"
],
[
"\"key\"",
"2"
],
[
"\"bye\"",
"1"
],
[
"\"keY\"",
"2"
],
[
"\"bYe\"",
"1"
],
[
"\"ACEDY\"",
"3"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"\"abcde\"",
"2"
],
[
"\"ACEDY\"",
"3"
]
] | null | python | HumanEval_64 |
FIX = """
Add more test cases.
"""
def vowels_count(s):
"""Write a function vowels_count which takes a string representing
a word as input and returns the number of vowels in the string.
Vowels in this case are 'a', 'e', 'i', 'o', 'u'. Here, 'y' is also a
vowel, but only when it is at the end of the g... | [] | Add more test cases. |
FIX = """
Add more test cases.
"""
def vowels_count(s):
"""Write a function vowels_count which takes a string representing
a word as input and returns the number of vowels in the string.
Vowels in this case are 'a', 'e', 'i', 'o', 'u'. Here, 'y' is also a
vowel, but only when it is at the end of the g... | vowels_count | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"100, 2",
"\"001\""
],
[
"12, 2",
"\"12\""
],
[
"97, 8",
"\"79\""
],
[
"12, 1",
"\"21\""
],
[
"11, 101",
"\"11\""
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"12, 1",
"\"21\""
],
[
"12, 2",
"\"12\""
]
] | null | python | HumanEval_65 |
def circular_shift(x, shift):
"""Circular shift the digits of the integer x, shift the digits right by shift
and return the result as a string.
If shift > number of digits, return digits reversed.
"""
| [] | Circular shift the digits of the integer x, shift the digits right by shift
and return the result as a string.
If shift > number of digits, return digits reversed. |
def circular_shift(x, shift):
"""Circular shift the digits of the integer x, shift the digits right by shift
and return the result as a string.
If shift > number of digits, return digits reversed.
>>> circular_shift(12, 1)
"21"
>>> circular_shift(12, 2)
"12"
"""
s = str(x)
if sh... | circular_shift | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"\"\"",
"0"
],
[
"\"abAB\"",
"131"
],
[
"\"abcCd\"",
"67"
],
[
"\"helloE\"",
"69"
],
[
"\"woArBld\"",
"131"
],
[
"\"aAaaaXa\"",
"153"
],
[
"\" How are yOu?\"",
"151"
],
[
"\"You arE Very Smart\"",
"327"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"\"\"",
"0"
],
[
"\"abAB\"",
"131"
],
[
"\"abcCd\"",
"67"
],
[
"\"helloE\"",
"69"
],
[
"\"woArBld\"",
"131"
],
[
"\"aAaaaXa\"",
"153"
]
] | null | python | HumanEval_66 |
def digitSum(s):
"""Task
Write a function that takes a string as input and returns the sum of the upper characters only'
ASCII codes.
"""
| [] | Task
Write a function that takes a string as input and returns the sum of the upper characters only'
ASCII codes. |
def digitSum(s):
"""Task
Write a function that takes a string as input and returns the sum of the upper characters only'
ASCII codes.
Examples:
digitSum("") => 0
digitSum("abAB") => 131
digitSum("abcCd") => 67
digitSum("helloE") => 69
digitSum("woArBld") => 131
... | digitSum | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"\"5 apples and 6 oranges\", 19",
"8"
],
[
"\"5 apples and 6 oranges\", 21",
"10"
],
[
"\"0 apples and 1 oranges\", 3",
"2"
],
[
"\"1 apples and 0 oranges\", 3",
"2"
],
[
"\"2 apples and 3 oranges\", 100",
"95"
],
[
"\"2 apples and 3 oranges\", 5",
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"\"5 apples and 6 oranges\", 19",
"19 - 5 - 6 = 8"
],
[
"\"0 apples and 1 oranges\",3",
"3 - 0 - 1 = 2"
],
[
"\"2 apples and 3 oranges\", 100",
"100 - 2 - 3 = 95"
],
[
"\"100 apples and 1 oranges\",120",
"120 - 100 - 1 = 19"
]
] | null | python | HumanEval_67 |
def fruit_distribution(s,n):
"""
In this task, you will be given a string that represents a number of apples and oranges
that are distributed in a basket of fruit this basket contains
apples, oranges, and mango fruits. Given the string that represents the total number of
the oranges and apples a... | [] | In this task, you will be given a string that represents a number of apples and oranges
that are distributed in a basket of fruit this basket contains
apples, oranges, and mango fruits. Given the string that represents the total number of
the oranges and apples and an integer that represent the total num... |
def fruit_distribution(s,n):
"""
In this task, you will be given a string that represents a number of apples and oranges
that are distributed in a basket of fruit this basket contains
apples, oranges, and mango fruits. Given the string that represents the total number of
the oranges and apples a... | fruit_distribution | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[4,2,3]",
"[2, 1]"
],
[
"[1,2,3]",
"[2, 1]"
],
[
"[]",
"[]"
],
[
"[5, 0, 3, 0, 4, 2]",
"[0, 1]"
],
[
"[1, 2, 3, 0, 5, 3]",
"[0, 3]"
],
[
"[5, 4, 8, 4 ,8]",
"[4, 1]"
],
[
"[7, 6, 7, 1]",
"[6, 1]"
],
[
"[7, 9, 7, 1]",
"[]"
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[4,2,3]",
"[2, 1]"
],
[
"[1,2,3]",
"[2, 1]"
],
[
"[]",
"[]"
],
[
"[5, 0, 3, 0, 4, 2]",
"[0, 1]"
]
] | null | python | HumanEval_68 |
def pluck(arr):
"""
"Given an array representing a branch of a tree that has non-negative integer nodes
your task is to pluck one of the nodes and return it.
The plucked node should be the node with the smallest even value.
If multiple nodes with the same smallest even value are found return the no... | [] | "Given an array representing a branch of a tree that has non-negative integer nodes
your task is to pluck one of the nodes and return it.
The plucked node should be the node with the smallest even value.
If multiple nodes with the same smallest even value are found return the node that has smallest index.
... |
def pluck(arr):
"""
"Given an array representing a branch of a tree that has non-negative integer nodes
your task is to pluck one of the nodes and return it.
The plucked node should be the node with the smallest even value.
If multiple nodes with the same smallest even value are found return the no... | pluck | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": [
"list"
],
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensi... | |
HumanEval | code_generation | [
[
"[5, 5, 5, 5, 1]",
"1"
],
[
"[4, 1, 4, 1, 4, 4]",
"4"
],
[
"[3, 3]",
"-1"
],
[
"[8, 8, 8, 8, 8, 8, 8, 8]",
"8"
],
[
"[2, 3, 3, 2, 2]",
"2"
],
[
"[2, 7, 8, 8, 4, 8, 7, 3, 9, 6, 5, 10, 4, 3, 6, 7, 1, 7, 4, 10, 8, 1]",
"1"
],
[
"[3, 2, 8, 2]... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[4, 1, 2, 2, 3, 1]",
"2"
],
[
"[1, 2, 2, 3, 3, 3, 4, 4, 4]",
"3"
],
[
"[5, 5, 4, 4, 4]",
"-1"
]
] | null | python | HumanEval_69 |
def search(lst):
'''
You are given a non-empty list of positive integers. Return the greatest integer that is greater than
zero, and has a frequency greater than or equal to the value of the integer itself.
The frequency of an integer is the number of times it appears in the list.
If no such a va... | [] | You are given a non-empty list of positive integers. Return the greatest integer that is greater than
zero, and has a frequency greater than or equal to the value of the integer itself.
The frequency of an integer is the number of times it appears in the list.
If no such a value exist, return -1.
Exam... |
def search(lst):
'''
You are given a non-empty list of positive integers. Return the greatest integer that is greater than
zero, and has a frequency greater than or equal to the value of the integer itself.
The frequency of an integer is the number of times it appears in the list.
If no such a va... | search | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 2, 3, 4]",
"[1, 4, 2, 3]"
],
[
"[5, 6, 7, 8, 9]",
"[5, 9, 6, 8, 7]"
],
[
"[1, 2, 3, 4, 5]",
"[1, 5, 2, 4, 3]"
],
[
"[5, 6, 7, 8, 9, 1]",
"[1, 9, 5, 8, 6, 7]"
],
[
"[5, 5, 5, 5]",
"[5, 5, 5, 5]"
],
[
"[]",
"[]"
],
[
"[1,2,3,4,5,6,7,8]... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 3, 4]",
"[1, 4, 2, 3]"
],
[
"[5, 5, 5, 5]",
"[5, 5, 5, 5]"
],
[
"[]",
"[]"
]
] | null | python | HumanEval_70 |
def strange_sort_list(lst):
'''
Given list of integers, return list in strange order.
Strange sorting, is when you start with the minimum value,
then maximum of the remaining integers, then minimum and so on.
'''
| [] | Given list of integers, return list in strange order.
Strange sorting, is when you start with the minimum value,
then maximum of the remaining integers, then minimum and so on. |
def strange_sort_list(lst):
'''
Given list of integers, return list in strange order.
Strange sorting, is when you start with the minimum value,
then maximum of the remaining integers, then minimum and so on.
Examples:
strange_sort_list([1, 2, 3, 4]) == [1, 4, 2, 3]
strange_sort_list([5, 5... | strange_sort_list | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"3, 4, 5",
"6.00"
],
[
"1, 2, 10",
"-1"
],
[
"4, 8, 5",
"8.18"
],
[
"2, 2, 2",
"1.73"
],
[
"1, 2, 3",
"-1"
],
[
"10, 5, 7",
"16.25"
],
[
"2, 6, 3",
"-1"
],
[
"1, 1, 1",
"0.43"
],
[
"2, 2, 10",
"-1"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"3, 4, 5",
"6.00"
],
[
"1, 2, 10",
"-1"
]
] | null | python | HumanEval_71 |
def triangle_area(a, b, c):
'''
Given the lengths of the three sides of a triangle. Return the area of
the triangle rounded to 2 decimal points if the three sides form a valid triangle.
Otherwise return -1
Three sides make a valid triangle when the sum of any two sides is greater
than the thi... | [] | Given the lengths of the three sides of a triangle. Return the area of
the triangle rounded to 2 decimal points if the three sides form a valid triangle.
Otherwise return -1
Three sides make a valid triangle when the sum of any two sides is greater
than the third side. |
def triangle_area(a, b, c):
'''
Given the lengths of the three sides of a triangle. Return the area of
the triangle rounded to 2 decimal points if the three sides form a valid triangle.
Otherwise return -1
Three sides make a valid triangle when the sum of any two sides is greater
than the thi... | triangle_area | {
"input": {
"N": null,
"S": null,
"a": [
"int"
],
"arr": null,
"array": null,
"b": [
"int"
],
"base": null,
"brackets": null,
"c": [
"int"
],
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
... | |
HumanEval | code_generation | [
[
"[3, 2, 3], 9",
"True"
],
[
"[1, 2], 5",
"False"
],
[
"[3], 5",
"True"
],
[
"[3, 2, 3], 1",
"False"
],
[
"[1, 2, 3], 6",
"False"
],
[
"[5], 5",
"True"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2], 5",
"False"
],
[
"[3, 2, 3], 1",
"False"
],
[
"[3, 2, 3], 9",
"True"
],
[
"[3], 5",
"True"
]
] | null | python | HumanEval_72 |
def will_it_fly(q,w):
'''
Write a function that returns True if the object q will fly, and False otherwise.
The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.
'''
| [] | Write a function that returns True if the object q will fly, and False otherwise.
The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w. |
def will_it_fly(q,w):
'''
Write a function that returns True if the object q will fly, and False otherwise.
The object q will fly if it's balanced (it is a palindromic list) and the sum of its elements is less than or equal the maximum possible weight w.
Example:
will_it_fly([1, 2], 5) ➞ False
... | will_it_fly | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1,2,3,5,4,7,9,6]",
"4"
],
[
"[1, 2, 3, 4, 3, 2, 2]",
"1"
],
[
"[1, 4, 2]",
"1"
],
[
"[1, 4, 4, 2]",
"1"
],
[
"[1, 2, 3, 2, 1]",
"0"
],
[
"[3, 1, 1, 3]",
"0"
],
[
"[1]",
"0"
],
[
"[0, 1]",
"1"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1,2,3,5,4,7,9,6]",
"4"
],
[
"[1, 2, 3, 4, 3, 2, 2]",
"1"
],
[
"[1, 2, 3, 2, 1]",
"0"
]
] | null | python | HumanEval_73 |
def smallest_change(arr):
"""
Given an array arr of integers, find the minimum number of elements that
need to be changed to make the array palindromic. A palindromic array is an array that
is read the same backwards and forwards. In one change, you can change one element to any other element.
"""... | [] | Given an array arr of integers, find the minimum number of elements that
need to be changed to make the array palindromic. A palindromic array is an array that
is read the same backwards and forwards. In one change, you can change one element to any other element. |
def smallest_change(arr):
"""
Given an array arr of integers, find the minimum number of elements that
need to be changed to make the array palindromic. A palindromic array is an array that
is read the same backwards and forwards. In one change, you can change one element to any other element.
For... | smallest_change | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": [
"list"
],
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensi... | |
HumanEval | code_generation | [
[
"[], []",
"[]"
],
[
"['hi', 'admin'], ['hi', 'hi']",
"['hi', 'hi']"
],
[
"['hi', 'admin'], ['hi', 'hi', 'admin', 'project']",
"['hi', 'admin']"
],
[
"['4'], ['1', '2', '3', '4', '5']",
"['4']"
],
[
"['hi', 'admin'], ['hI', 'Hi']",
"['hI', 'Hi']"
],
[
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[], []",
"[]"
],
[
"['hi', 'admin'], ['hI', 'Hi']",
"['hI', 'Hi']"
],
[
"['hi', 'admin'], ['hi', 'hi', 'admin', 'project']",
"['hi', 'admin']"
],
[
"['hi', 'admin'], ['hI', 'hi', 'hi']",
"['hI', 'hi', 'hi']"
],
[
"['4'], ['1', '2', '3', '4', '5']",
"['4']"
... | null | python | HumanEval_74 |
def total_match(lst1, lst2):
'''
Write a function that accepts two lists of strings and returns the list that has
total number of chars in the all strings of the list less than the other list.
if the two lists have the same number of chars, return the first list.
'''
| [] | Write a function that accepts two lists of strings and returns the list that has
total number of chars in the all strings of the list less than the other list.
if the two lists have the same number of chars, return the first list. |
def total_match(lst1, lst2):
'''
Write a function that accepts two lists of strings and returns the list that has
total number of chars in the all strings of the list less than the other list.
if the two lists have the same number of chars, return the first list.
Examples
total_match([], [])... | total_match | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"5",
"False"
],
[
"30",
"True"
],
[
"8",
"True"
],
[
"10",
"False"
],
[
"125",
"True"
],
[
"3 * 5 * 7",
"True"
],
[
"3 * 6 * 7",
"False"
],
[
"9 * 9 * 9",
"False"
],
[
"11 * 9 * 9",
"False"
],
[
"11 * 1... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"30",
"True"
]
] | null | python | HumanEval_75 |
def is_multiply_prime(a):
"""Write a function that returns true if the given number is the multiplication of 3 prime numbers
and false otherwise.
Knowing that (a) is less then 100.
"""
| [] | Write a function that returns true if the given number is the multiplication of 3 prime numbers
and false otherwise.
Knowing that (a) is less then 100. |
def is_multiply_prime(a):
"""Write a function that returns true if the given number is the multiplication of 3 prime numbers
and false otherwise.
Knowing that (a) is less then 100.
Example:
is_multiply_prime(30) == True
30 = 2 * 3 * 5
"""
def is_prime(n):
for j in range(2,n):
... | is_multiply_prime | {
"input": {
"N": null,
"S": null,
"a": [
"int"
],
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"16, 2",
"True"
],
[
"143214, 16",
"False"
],
[
"4, 2",
"True"
],
[
"9, 3",
"True"
],
[
"16, 4",
"True"
],
[
"24, 2",
"False"
],
[
"128, 4",
"False"
],
[
"12, 6",
"False"
],
[
"1, 1",
"True"
],
[
"1, 12... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"1, 4",
"true"
],
[
"2, 2",
"true"
],
[
"8, 2",
"true"
],
[
"3, 2",
"false"
],
[
"3, 1",
"false"
],
[
"5, 3",
"false"
]
] | null | python | HumanEval_76 |
def is_simple_power(x, n):
"""Your task is to write a function that returns true if a number x is a simple
power of n and false in other cases.
x is a simple power of n if n**int=x
"""
| [] | Your task is to write a function that returns true if a number x is a simple
power of n and false in other cases.
x is a simple power of n if n**int=x |
def is_simple_power(x, n):
"""Your task is to write a function that returns true if a number x is a simple
power of n and false in other cases.
x is a simple power of n if n**int=x
For example:
is_simple_power(1, 4) => true
is_simple_power(2, 2) => true
is_simple_power(8, 2) => true
is_... | is_simple_power | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"1",
"True"
],
[
"2",
"False"
],
[
"-1",
"True"
],
[
"64",
"True"
],
[
"180",
"False"
],
[
"1000",
"True"
],
[
"0",
"True"
],
[
"1729",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"1",
"> True"
],
[
"2",
"> False"
],
[
"-1",
"> True"
],
[
"64",
"> True"
],
[
"0",
"> True"
],
[
"180",
"> False"
]
] | null | python | HumanEval_77 |
def iscube(a):
'''
Write a function that takes an integer a and returns True
if this ingeger is a cube of some integer number.
Note: you may assume the input is always valid.
'''
| [] | Write a function that takes an integer a and returns True
if this ingeger is a cube of some integer number.
Note: you may assume the input is always valid. |
def iscube(a):
'''
Write a function that takes an integer a and returns True
if this ingeger is a cube of some integer number.
Note: you may assume the input is always valid.
Examples:
iscube(1) ==> True
iscube(2) ==> False
iscube(-1) ==> True
iscube(64) ==> True
iscube(0) ==> ... | iscube | {
"input": {
"N": null,
"S": null,
"a": [
"int"
],
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"\"AB\"",
"1"
],
[
"\"1077E\"",
"2"
],
[
"\"ABED1A33\"",
"4"
],
[
"\"2020\"",
"2"
],
[
"\"123456789ABCDEF0\"",
"6"
],
[
"\"112233445566778899AABBCCDDEEFF00\"",
"12"
],
[
"[]",
"0"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"\"AB\"",
"1"
],
[
"\"1077E\"",
"2"
],
[
"\"ABED1A33\"",
"4"
],
[
"\"123456789ABCDEF0\"",
"6"
],
[
"\"2020\"",
"2"
]
] | null | python | HumanEval_78 |
def hex_key(num):
"""You have been tasked to write a function that receives
a hexadecimal number as a string and counts the number of hexadecimal
digits that are primes (prime number, or a prime, is a natural number
greater than 1 that is not a product of two smaller natural numbers).
Hexadecima... | [] | You have been tasked to write a function that receives
a hexadecimal number as a string and counts the number of hexadecimal
digits that are primes (prime number, or a prime, is a natural number
greater than 1 that is not a product of two smaller natural numbers).
Hexadecimal digits are 0, 1, 2, 3, 4... |
def hex_key(num):
"""You have been tasked to write a function that receives
a hexadecimal number as a string and counts the number of hexadecimal
digits that are primes (prime number, or a prime, is a natural number
greater than 1 that is not a product of two smaller natural numbers).
Hexadecima... | hex_key | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"0",
"\"db0db\""
],
[
"32",
"\"db100000db\""
],
[
"103",
"\"db1100111db\""
],
[
"15",
"\"db1111db\""
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"15",
"\"db1111db\""
],
[
"32",
"\"db100000db\""
]
] | null | python | HumanEval_79 |
def decimal_to_binary(decimal):
"""You will be given a number in decimal form and your task is to convert it to
binary format. The function should return a string, with each character representing a binary
number. Each character in the string will be '0' or '1'.
There will be an extra couple of charac... | [] | You will be given a number in decimal form and your task is to convert it to
binary format. The function should return a string, with each character representing a binary
number. Each character in the string will be '0' or '1'.
There will be an extra couple of characters 'db' at the beginning and at the en... |
def decimal_to_binary(decimal):
"""You will be given a number in decimal form and your task is to convert it to
binary format. The function should return a string, with each character representing a binary
number. Each character in the string will be '0' or '1'.
There will be an extra couple of charac... | decimal_to_binary | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": [
"int"
],
"delimeter": null,
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"\"a\"",
"False"
],
[
"\"aa\"",
"False"
],
[
"\"abcd\"",
"True"
],
[
"\"aabb\"",
"False"
],
[
"\"adb\"",
"True"
],
[
"\"xyy\"",
"False"
],
[
"\"iopaxpoi\"",
"True"
],
[
"\"iopaxioi\"",
"False"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"a",
"False"
],
[
"aa",
"False"
],
[
"abcd",
"True"
],
[
"aabb",
"False"
],
[
"adb",
"True"
],
[
"xyy",
"False"
]
] | null | python | HumanEval_80 |
def is_happy(s):
"""You are given a string s.
Your task is to check if the string is happy or not.
A string is happy if its length is at least 3 and every 3 consecutive letters are distinct
"""
| [] | You are given a string s.
Your task is to check if the string is happy or not.
A string is happy if its length is at least 3 and every 3 consecutive letters are distinct |
def is_happy(s):
"""You are given a string s.
Your task is to check if the string is happy or not.
A string is happy if its length is at least 3 and every 3 consecutive letters are distinct
For example:
is_happy(a) => False
is_happy(aa) => False
is_happy(abcd) => True
is_happy(aabb) => ... | is_happy | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[4.0, 3, 1.7, 2, 3.5]",
"['A+', 'B', 'C-', 'C', 'A-']"
],
[
"[1.2]",
"['D+']"
],
[
"[0.5]",
"['D-']"
],
[
"[0.0]",
"['E']"
],
[
"[1, 0.3, 1.5, 2.8, 3.3]",
"['D', 'D-', 'C-', 'B', 'B+']"
],
[
"[0, 0.7]",
"['E', 'D-']"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[4.0, 3, 1.7, 2, 3.5]",
"> ['A+', 'B', 'C-', 'C', 'A-']"
]
] | null | python | HumanEval_81 |
def numerical_letter_grade(grades):
"""It is the last week of the semester and the teacher has to give the grades
to students. The teacher has been making her own algorithm for grading.
The only problem is, she has lost the code she used for grading.
She has given you a list of GPAs for some students a... | [] | It is the last week of the semester and the teacher has to give the grades
to students. The teacher has been making her own algorithm for grading.
The only problem is, she has lost the code she used for grading.
She has given you a list of GPAs for some students and you have to write
a function that ca... |
def numerical_letter_grade(grades):
"""It is the last week of the semester and the teacher has to give the grades
to students. The teacher has been making her own algorithm for grading.
The only problem is, she has lost the code she used for grading.
She has given you a list of GPAs for some students a... | numerical_letter_grade | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'Hello'",
"True"
],
[
"'abcdcba'",
"True"
],
[
"'kittens'",
"True"
],
[
"'orange'",
"False"
],
[
"'wow'",
"True"
],
[
"'world'",
"True"
],
[
"'MadaM'",
"True"
],
[
"'Wow'",
"True"
],
[
"''",
"False"
],
[
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'Hello'",
"True"
],
[
"'abcdcba'",
"True"
],
[
"'kittens'",
"True"
],
[
"'orange'",
"False"
]
] | null | python | HumanEval_82 |
def prime_length(string):
"""Write a function that takes a string and returns True if the string
length is a prime number or False otherwise
"""
| [] | Write a function that takes a string and returns True if the string
length is a prime number or False otherwise |
def prime_length(string):
"""Write a function that takes a string and returns True if the string
length is a prime number or False otherwise
Examples
prime_length('Hello') == True
prime_length('abcdcba') == True
prime_length('kittens') == True
prime_length('orange') == False
"""
l =... | prime_length | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"1",
"1"
],
[
"2",
"18"
],
[
"3",
"180"
],
[
"4",
"1800"
],
[
"5",
"18000"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [] | null | python | HumanEval_83 |
def starts_one_ends(n):
"""
Given a positive integer n, return the count of the numbers of n-digit
positive integers that start or end with 1.
"""
| [] | Given a positive integer n, return the count of the numbers of n-digit
positive integers that start or end with 1. |
def starts_one_ends(n):
"""
Given a positive integer n, return the count of the numbers of n-digit
positive integers that start or end with 1.
"""
if n == 1: return 1
return 18 * (10 ** (n - 2))
| starts_one_ends | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"1000",
"\"1\""
],
[
"150",
"\"110\""
],
[
"147",
"\"1100\""
],
[
"333",
"\"1001\""
],
[
"963",
"\"10010\""
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"1000",
"\"1\""
],
[
"150",
"\"110\""
],
[
"147",
"\"1100\""
]
] | null | python | HumanEval_84 |
def solve(N):
"""Given a positive integer N, return the total sum of its digits in binary.
"""
| [] | Given a positive integer N, return the total sum of its digits in binary. |
def solve(N):
"""Given a positive integer N, return the total sum of its digits in binary.
Example
For N = 1000, the sum of digits will be 1 the output should be "1".
For N = 150, the sum of digits will be 6 the output should be "110".
For N = 147, the sum of digits will be 12 the ... | solve | {
"input": {
"N": [
"int"
],
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"[4, 88]",
"88"
],
[
"[4, 5, 6, 7, 2, 122]",
"122"
],
[
"[4, 0, 6, 7]",
"0"
],
[
"[4, 4, 6, 8]",
"12"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[4, 2, 6, 7]",
"> 2"
]
] | null | python | HumanEval_85 |
def add(lst):
"""Given a non-empty list of integers lst. add the even elements that are at odd indices..
"""
| [] | Given a non-empty list of integers lst. add the even elements that are at odd indices.. |
def add(lst):
"""Given a non-empty list of integers lst. add the even elements that are at odd indices..
Examples:
add([4, 2, 6, 7]) ==> 2
"""
return sum([lst[i] for i in range(1, len(lst), 2) if lst[i]%2 == 0])
| add | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'Hi'",
"'Hi'"
],
[
"'hello'",
"'ehllo'"
],
[
"'number'",
"'bemnru'"
],
[
"'abcd'",
"'abcd'"
],
[
"'Hello World!!!'",
"'Hello !!!Wdlor'"
],
[
"''",
"''"
],
[
"'Hi. My name is Mister Robot. How are you?'",
"'.Hi My aemn is Meirst .Rboo... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'Hi'",
"'Hi'"
],
[
"'hello'",
"'ehllo'"
],
[
"'Hello World!!!'",
"'Hello !!!Wdlor'"
]
] | null | python | HumanEval_86 |
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 ... | [] | Write a function that takes a string and returns an ordered version of it.
Ordered version of string, is a string where all words (separated by space)
are replaced by a new word where all the characters arranged in
ascending order based on ascii value.
Note: You should keep the order of words and blank ... |
def anti_shuffle(s):
"""
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 ... | anti_shuffle | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[\n [1,2,3,4,5,6],\n [1,2,3,4,1,6],\n [1,2,3,4,5,1]\n ], 1",
"[(0, 0), (1, 4), (1, 0), (2, 5), (2, 0)]"
],
[
"[\n [1,2,3,4,5,6],\n [1,2,3,4,5,6],\n [1,2,3,4,5,6],\n [1,2,3,4,5,6],\n [1,2,3,4,5,6],\n [1,2,3,4,5,6]\n ], 2",
"[... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[], 1",
"[]"
],
[
"[[], [1], [1, 2, 3]], 3",
"[(2, 2)]"
]
] | null | python | HumanEval_87 |
def get_row(lst, x):
"""
You are given a 2 dimensional data, as a nested lists,
which is similar to matrix, however, unlike matrices,
each row may contain a different number of columns.
Given lst, and integer x, find integers x in the list,
and return list of tuples, [(x1, y1), (x2, y2) ...] su... | [] | You are given a 2 dimensional data, as a nested lists,
which is similar to matrix, however, unlike matrices,
each row may contain a different number of columns.
Given lst, and integer x, find integers x in the list,
and return list of tuples, [(x1, y1), (x2, y2) ...] such that
each tuple is a coordi... |
def get_row(lst, x):
"""
You are given a 2 dimensional data, as a nested lists,
which is similar to matrix, however, unlike matrices,
each row may contain a different number of columns.
Given lst, and integer x, find integers x in the list,
and return list of tuples, [(x1, y1), (x2, y2) ...] su... | get_row | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[]",
"[]"
],
[
"[5]",
"[5]"
],
[
"[2, 4, 3, 0, 1, 5]",
"[0, 1, 2, 3, 4, 5]"
],
[
"[2, 4, 3, 0, 1, 5, 6]",
"[6, 5, 4, 3, 2, 1, 0]"
],
[
"[2, 1]",
"[1, 2]"
],
[
"[15, 42, 87, 32 ,11, 0]",
"[0, 11, 15, 32, 42, 87]"
],
[
"[21, 14, 23, 11]",
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[]",
"[]"
],
[
"[5]",
"[5]"
],
[
"[2, 4, 3, 0, 1, 5]",
"[0, 1, 2, 3, 4, 5]"
],
[
"[2, 4, 3, 0, 1, 5, 6]",
"[6, 5, 4, 3, 2, 1, 0]"
]
] | null | python | HumanEval_88 |
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) i... | [] | Given an array of non-negative integers, return a copy of the given array after sorting,
you will sort the given array in ascending order if the sum( first index value, last index value) is odd,
or sort it in descending order if the sum( first index value, last index value) is even.
Note:
* don't chang... |
def sort_array(array):
"""
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) i... | sort_array | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": [
"list"
],
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensi... | |
HumanEval | code_generation | [
[
"'hi'",
"'lm'"
],
[
"'asdfghjkl'",
"'ewhjklnop'"
],
[
"'gf'",
"'kj'"
],
[
"'et'",
"'ix'"
],
[
"'faewfawefaewg'",
"'jeiajeaijeiak'"
],
[
"'hellomyfriend'",
"'lippsqcjvmirh'"
],
[
"'dxzdlmnilfuhmilufhlihufnmlimnufhlimnufhfucufh'",
"'hbd... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'hi'",
"'lm'"
],
[
"'asdfghjkl'",
"'ewhjklnop'"
],
[
"'gf'",
"'kj'"
],
[
"'et'",
"'ix'"
]
] | null | python | HumanEval_89 |
def encrypt(s):
"""Create a function encrypt that takes a string as an argument and
returns a string encrypted with the alphabet being rotated.
The alphabet should be rotated in a manner such that the letters
shift down by two multiplied to two places.
"""
| [] | Create a function encrypt that takes a string as an argument and
returns a string encrypted with the alphabet being rotated.
The alphabet should be rotated in a manner such that the letters
shift down by two multiplied to two places. |
def encrypt(s):
"""Create a function encrypt that takes a string as an argument and
returns a string encrypted with the alphabet being rotated.
The alphabet should be rotated in a manner such that the letters
shift down by two multiplied to two places.
For example:
encrypt('hi') returns 'lm'
... | encrypt | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[1, 2, 3, 4, 5]",
"2"
],
[
"[5, 1, 4, 3, 2]",
"2"
],
[
"[]",
"None"
],
[
"[1, 1]",
"None"
],
[
"[1,1,1,1,0]",
"1"
],
[
"[1, 0**0]",
"None"
],
[
"[-35, 34, 12, -45]",
"-35"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[1, 2, 3, 4, 5]",
"2"
],
[
"[5, 1, 4, 3, 2]",
"2"
],
[
"[]",
"None"
],
[
"[1, 1]",
"None"
]
] | null | python | HumanEval_90 |
def next_smallest(lst):
"""
You are given a list of integers.
Write a function next_smallest() that returns the 2nd smallest element of the list.
Return None if there is no such element.
"""
| [] | You are given a list of integers.
Write a function next_smallest() that returns the 2nd smallest element of the list.
Return None if there is no such element. |
def next_smallest(lst):
"""
You are given a list of integers.
Write a function next_smallest() that returns the 2nd smallest element of the list.
Return None if there is no such element.
next_smallest([1, 2, 3, 4, 5]) == 2
next_smallest([5, 1, 4, 3, 2]) == 2
next_smallest([]) == None
... | next_smallest | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"\"Hello world\"",
"0"
],
[
"\"Is the sky blue?\"",
"0"
],
[
"\"I love It !\"",
"1"
],
[
"\"bIt\"",
"0"
],
[
"\"I feel good today. I will be productive. will kill It\"",
"2"
],
[
"\"You and I are going for a walk\"",
"0"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"\"Hello world\"",
"0"
],
[
"\"The sky is blue. The sun is shining. I love this weather\"",
"1"
]
] | null | python | HumanEval_91 |
def is_bored(S):
"""
You'll be given a string of words, and your task is to count the number
of boredoms. A boredom is a sentence that starts with the word "I".
Sentences are delimited by '.', '?' or '!'.
"""
| [] | You'll be given a string of words, and your task is to count the number
of boredoms. A boredom is a sentence that starts with the word "I".
Sentences are delimited by '.', '?' or '!'. |
def is_bored(S):
"""
You'll be given a string of words, and your task is to count the number
of boredoms. A boredom is a sentence that starts with the word "I".
Sentences are delimited by '.', '?' or '!'.
For example:
>>> is_bored("Hello world")
0
>>> is_bored("The sky is blue. The ... | is_bored | {
"input": {
"N": null,
"S": [
"str"
],
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensio... | |
HumanEval | code_generation | [
[
"2, 3, 1",
"True"
],
[
"2.5, 2, 3",
"False"
],
[
"1.5, 5, 3.5",
"False"
],
[
"2, 6, 2",
"False"
],
[
"4, 2, 2",
"True"
],
[
"2.2, 2.2, 2.2",
"False"
],
[
"-4, 6, 2",
"True"
],
[
"2, 1, 1",
"True"
],
[
"3, 4, 7",
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"5, 2, 7",
"True"
],
[
"3, 2, 2",
"False"
],
[
"3, -2, 1",
"True"
],
[
"3.6, -2.2, 2",
"False"
]
] | null | python | HumanEval_92 |
def any_int(x, y, z):
'''
Create a function that takes 3 numbers.
Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.
Returns false in any other cases.
'''
| [] | Create a function that takes 3 numbers.
Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.
Returns false in any other cases. |
def any_int(x, y, z):
'''
Create a function that takes 3 numbers.
Returns true if one of the numbers is equal to the sum of the other two, and all numbers are integers.
Returns false in any other cases.
Examples
any_int(5, 2, 7) ➞ True
any_int(3, 2, 2) ➞ False
any_int(3, -2, ... | any_int | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"'TEST'",
"'tgst'"
],
[
"'Mudasir'",
"'mWDCSKR'"
],
[
"'YES'",
"'ygs'"
],
[
"'This is a message'",
"'tHKS KS C MGSSCGG'"
],
[
"\"I DoNt KnOw WhAt tO WrItE\"",
"'k dQnT kNqW wHcT Tq wRkTg'"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'test'",
"'TGST'"
],
[
"'This is a message'",
"'tHKS KS C MGSSCGG'"
]
] | null | python | HumanEval_93 |
def encode(message):
"""
Write a function that takes a message, and encodes in such a
way that it swaps case of all letters, replaces all vowels in
the message with the letter that appears 2 places ahead of that
vowel in the english alphabet.
Assume only letters.
"""
| [] | Write a function that takes a message, and encodes in such a
way that it swaps case of all letters, replaces all vowels in
the message with the letter that appears 2 places ahead of that
vowel in the english alphabet.
Assume only letters. |
def encode(message):
"""
Write a function that takes a message, and encodes in such a
way that it swaps case of all letters, replaces all vowels in
the message with the letter that appears 2 places ahead of that
vowel in the english alphabet.
Assume only letters.
Examples:
>>>... | encode | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"[0,3,2,1,3,5,7,4,5,5,5,2,181,32,4,32,3,2,32,324,4,3]",
"10"
],
[
"[1,0,1,8,2,4597,2,1,3,40,1,2,1,2,4,2,5,1]",
"25"
],
[
"[1,3,1,32,5107,34,83278,109,163,23,2323,32,30,1,9,3]",
"13"
],
[
"[0,724,32,71,99,32,6,0,5,91,83,0,5,6]",
"11"
],
[
"[0,81,12,3,1,21]",
... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"[0,3,2,1,3,5,7,4,5,5,5,2,181,32,4,32,3,2,32,324,4,3]",
"10"
],
[
"[1,0,1,8,2,4597,2,1,3,40,1,2,1,2,4,2,5,1]",
"25"
],
[
"[1,3,1,32,5107,34,83278,109,163,23,2323,32,30,1,9,3]",
"13"
],
[
"[0,724,32,71,99,32,6,0,5,91,83,0,5,6]",
"11"
],
[
"[0,81,12,3,1,21]",
... | null | python | HumanEval_94 |
def skjkasdkd(lst):
"""You are given a list of integers.
You need to find the largest prime value and return the sum of its digits.
"""
| [] | You are given a list of integers.
You need to find the largest prime value and return the sum of its digits. |
def skjkasdkd(lst):
"""You are given a list of integers.
You need to find the largest prime value and return the sum of its digits.
Examples:
For lst = [0,3,2,1,3,5,7,4,5,5,5,2,181,32,4,32,3,2,32,324,4,3] the output should be 10
For lst = [1,0,1,8,2,4597,2,1,3,40,1,2,1,2,4,2,5,1] the output shoul... | skjkasdkd | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"{\"p\":\"pineapple\", \"b\":\"banana\"}",
"True"
],
[
"{\"p\":\"pineapple\", \"A\":\"banana\", \"B\":\"banana\"}",
"False"
],
[
"{\"p\":\"pineapple\", 5:\"banana\", \"a\":\"apple\"}",
"False"
],
[
"{\"Name\":\"John\", \"Age\":\"36\", \"City\":\"Houston\"}",
"False"
]... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"{\"a\":\"apple\", \"b\":\"banana\"}",
"True"
],
[
"{\"a\":\"apple\", \"A\":\"banana\", \"B\":\"banana\"}",
"True"
],
[
"{\"a\":\"apple\", 8:\"banana\", \"a\":\"apple\"}",
"False"
],
[
"{\"Name\":\"John\", \"Age\":\"36\", \"City\":\"Houston\"}",
"False"
],
[
"{\... | null | python | HumanEval_95 |
def check_dict_case(dict):
"""
Given a dictionary, return True if all keys are strings in lower
case or all keys are strings in upper case, else return False.
The function should return False is the given dictionary is empty.
"""
| [] | Given a dictionary, return True if all keys are strings in lower
case or all keys are strings in upper case, else return False.
The function should return False is the given dictionary is empty. |
def check_dict_case(dict):
"""
Given a dictionary, return True if all keys are strings in lower
case or all keys are strings in upper case, else return False.
The function should return False is the given dictionary is empty.
Examples:
check_dict_case({"a":"apple", "b":"banana"}) should return... | check_dict_case | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": [
"dict"
],
"extensi... | |
HumanEval | code_generation | [
[
"5",
"[2,3]"
],
[
"6",
"[2,3,5]"
],
[
"7",
"[2,3,5]"
],
[
"10",
"[2,3,5,7]"
],
[
"0",
"[]"
],
[
"22",
"[2,3,5,7,11,13,17,19]"
],
[
"1",
"[]"
],
[
"18",
"[2,3,5,7,11,13,17]"
],
[
"47",
"[2, 3, 5, 7, 11, 13, 17, ... | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"5",
"[2,3]"
],
[
"11",
"[2,3,5,7]"
],
[
"0",
"[]"
],
[
"20",
"[2,3,5,7,11,13,17,19]"
],
[
"1",
"[]"
],
[
"18",
"[2,3,5,7,11,13,17]"
]
] | null | python | HumanEval_96 |
def count_up_to(n):
"""Implement a function that takes an non-negative integer and returns an array of the first n
integers that are prime numbers and less than n.
"""
| [] | Implement a function that takes an non-negative integer and returns an array of the first n
integers that are prime numbers and less than n. |
def count_up_to(n):
"""Implement a function that takes an non-negative integer and returns an array of the first n
integers that are prime numbers and less than n.
for example:
count_up_to(5) => [2,3]
count_up_to(11) => [2,3,5,7]
count_up_to(0) => []
count_up_to(20) => [2,3,5,7,11,13,17,19]... | count_up_to | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"148, 412",
"16"
],
[
"19, 28",
"72"
],
[
"2020, 1851",
"0"
],
[
"14, -15",
"20"
],
[
"76, 67",
"42"
],
[
"17, 27",
"49"
],
[
"0, 1",
"0"
],
[
"0, 0",
"0"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"148, 412",
"16"
],
[
"19, 28",
"72"
],
[
"2020, 1851",
"0"
],
[
"14, -15",
"20"
]
] | null | python | HumanEval_97 |
def multiply(a, b):
"""Complete the function that takes two integers and returns
the product of their unit digits.
Assume the input is always valid.
"""
| [] | Complete the function that takes two integers and returns
the product of their unit digits.
Assume the input is always valid. |
def multiply(a, b):
"""Complete the function that takes two integers and returns
the product of their unit digits.
Assume the input is always valid.
Examples:
multiply(148, 412) should return 16.
multiply(19, 28) should return 72.
multiply(2020, 1851) should return 0.
multiply(14,-15) ... | multiply | {
"input": {
"N": null,
"S": null,
"a": [
"int"
],
"arr": null,
"array": null,
"b": [
"int"
],
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null... | |
HumanEval | code_generation | [
[
"'aBCdEf'",
"1"
],
[
"'abcdefg'",
"0"
],
[
"'dBBE'",
"0"
],
[
"'B'",
"0"
],
[
"'U'",
"1"
],
[
"''",
"0"
],
[
"'EEEE'",
"2"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"'aBCdEf'",
"1"
],
[
"'abcdefg'",
"0"
],
[
"'dBBE'",
"0"
]
] | null | python | HumanEval_98 |
def count_upper(s):
"""
Given a string s, count the number of uppercase vowels in even indices.
"""
| [] | Given a string s, count the number of uppercase vowels in even indices. |
def count_upper(s):
"""
Given a string s, count the number of uppercase vowels in even indices.
For example:
count_upper('aBCdEf') returns 1
count_upper('abcdefg') returns 0
count_upper('dBBE') returns 0
"""
count = 0
for i in range(0,len(s),2):
if s[i] in "AEIOU":
... | count_upper | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... | |
HumanEval | code_generation | [
[
"\"10\"",
"10"
],
[
"\"14.5\"",
"15"
],
[
"\"-15.5\"",
"-16"
],
[
"\"15.3\"",
"15"
],
[
"\"0\"",
"0"
]
] | import numpy as np
def is_floats(x) -> bool:
# check if it is float; List[float]; Tuple[float]
if isinstance(x, float):
return True
if isinstance(x, (list, tuple)):
return all(isinstance(i, float) for i in x)
if isinstance(x, np.ndarray):
return x.dtype == np.float64 or x.dtype ... | [
[
"\"10\"",
"10"
],
[
"\"15.3\"",
"15"
]
] | null | python | HumanEval_99 |
def closest_integer(value):
'''
Create a function that takes a value (string) representing a number
and returns the closest integer to it. If the number is equidistant
from two integers, round it away from zero.
'''
| [] | Create a function that takes a value (string) representing a number
and returns the closest integer to it. If the number is equidistant
from two integers, round it away from zero. |
def closest_integer(value):
'''
Create a function that takes a value (string) representing a number
and returns the closest integer to it. If the number is equidistant
from two integers, round it away from zero.
Examples
>>> closest_integer("10")
10
>>> closest_integer("15.3")
15
... | closest_integer | {
"input": {
"N": null,
"S": null,
"a": null,
"arr": null,
"array": null,
"b": null,
"base": null,
"brackets": null,
"c": null,
"capacity": null,
"class_name": null,
"date": null,
"decimal": null,
"delimeter": null,
"dict": null,
"extensions": null,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.