Upload proof eval_before_after.csv

eval_before_after.csv

@@ -0,0 +1,150 @@
+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"