kind stringclasses 1
value | task_id stringlengths 11 13 | prompt stringlengths 115 1.36k | entry_point stringlengths 1 30 | test stringlengths 910 502k | example stringclasses 1
value | canonical_solution stringlengths 134 1.76k |
|---|---|---|---|---|---|---|
humaneval | 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.
>>> 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 |
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.dtyp... | 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, ... | |
humaneval | 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... | separate_paren_groups |
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.dtyp... | 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... | |
humaneval | 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.
>>> truncate_number(3.5)
0... | truncate_number |
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.dtyp... |
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... | |
humaneval | HumanEval/3 | "from typing import List\n\n\ndef below_zero(operations: List[int]) -> bool:\n \"\"\" You're give(...TRUNCATED) | below_zero | "\n\nimport numpy as np\n\ndef is_floats(x) -> bool:\n # check if it is float; List[float]; Tuple(...TRUNCATED) | "from typing import List\n\n\ndef below_zero(operations: List[int]) -> bool:\n \"\"\" You're give(...TRUNCATED) | |
humaneval | HumanEval/4 | "from typing import List\n\n\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\(...TRUNCATED) | mean_absolute_deviation | "\n\nimport numpy as np\n\ndef is_floats(x) -> bool:\n # check if it is float; List[float]; Tuple(...TRUNCATED) | "from typing import List\n\n\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n \"\"\(...TRUNCATED) | |
humaneval | HumanEval/5 | "from typing import List\n\n\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n (...TRUNCATED) | intersperse | "\n\nimport numpy as np\n\ndef is_floats(x) -> bool:\n # check if it is float; List[float]; Tuple(...TRUNCATED) | "from typing import List\n\n\ndef intersperse(numbers: List[int], delimeter: int) -> List[int]:\n (...TRUNCATED) | |
humaneval | HumanEval/6 | "from typing import List\n\n\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" I(...TRUNCATED) | parse_nested_parens | "\n\nimport numpy as np\n\ndef is_floats(x) -> bool:\n # check if it is float; List[float]; Tuple(...TRUNCATED) | "from typing import List\n\n\ndef parse_nested_parens(paren_string: str) -> List[int]:\n \"\"\" I(...TRUNCATED) | |
humaneval | HumanEval/7 | "from typing import List\n\n\ndef filter_by_substring(strings: List[str], substring: str) -> List[st(...TRUNCATED) | filter_by_substring | "\n\nimport numpy as np\n\ndef is_floats(x) -> bool:\n # check if it is float; List[float]; Tuple(...TRUNCATED) | "from typing import List\n\n\ndef filter_by_substring(strings: List[str], substring: str) -> List[st(...TRUNCATED) | |
humaneval | HumanEval/8 | "from typing import List, Tuple\n\n\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"(...TRUNCATED) | sum_product | "\n\nimport numpy as np\n\ndef is_floats(x) -> bool:\n # check if it is float; List[float]; Tuple(...TRUNCATED) | "from typing import List, Tuple\n\n\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n \"(...TRUNCATED) | |
humaneval | HumanEval/9 | "from typing import List, Tuple\n\n\ndef rolling_max(numbers: List[int]) -> List[int]:\n \"\"\" F(...TRUNCATED) | rolling_max | "\n\nimport numpy as np\n\ndef is_floats(x) -> bool:\n # check if it is float; List[float]; Tuple(...TRUNCATED) | "from typing import List, Tuple\n\n\ndef rolling_max(numbers: List[int]) -> List[int]:\n \"\"\" F(...TRUNCATED) |
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