eval_before_after.csv

phase,id,latency_s,score,chars,preview
before,HumanEval_0,35.316,0.8,536,"```python
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_eleme"
before,HumanEval_1,33.612,0.8,755,"```python
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"
before,HumanEval_2,17.675,0.8,377,"```python
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.
    >>"
before,HumanEval_3,30.553,0.8,610,"```python
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 po"
before,HumanEval_4,33.594,0.8,648,"```python
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 an"
before,HumanEval_5,29.098,0.8,500,"```python
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]
    """"""
   "
before,HumanEval_6,33.787,0.55,702,"```python
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. (()("
before,HumanEval_7,21.317,0.8,396,"```python
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"
after,HumanEval_0,53.709,0.8,568,"```python
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_eleme"
after,HumanEval_1,53.466,0.8,763,"```python
from typing import List


def separate_paren_groups(paren_string: str) -> List[str]:
    paren_string = paren_string.replace("" "", """")
    groups = []
    balance = 0
    start = 0
    for i, char in enumerate(paren_string):
        if char == '(':
            balance += 1
        elif char"
after,HumanEval_2,53.294,0.8,824,"```python
def truncate_number(number: float) -> float:
    """""" Given a positive floating point number, it can be decomposed into
    and an integer part (largest integer smaller than given number) and decimals
    (leftover part always smaller than 1).

    Return the decimal part of the number.
   "
after,HumanEval_3,53.551,0.8,770,"```python
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 po"
after,HumanEval_4,53.816,0.8,736,"```python
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 an"
after,HumanEval_5,53.518,0.8,643,"```python
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]
    """"""
   "
after,HumanEval_6,53.528,0.55,701,"```python
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. (()("
after,HumanEval_7,53.317,0.8,739,"```python
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"