e2e test finish

Author: jie-jw-wu

Diff for: log/manualRemove_dataset_HumanEvalComm_model_gpt-3.5-turbo-0125_topn_1_temperature_1.0.log_1

@@ -24,3 +24,27 @@
 {"key": "HumanEval/4_prompt2ap", "name": "HumanEval/4", "prompt_type": "prompt2ap", "index": 0, "response": "```python\ndef candidate(numbers: List[float]) -> float:\n    x_mean = sum(numbers) / len(numbers)\n    x_max = max(numbers)\n    \n    deviations = [abs(x - x_max) for x in numbers] + [abs(x - x_mean) for x in numbers]\n    mad = sum(deviations) / len(deviations)\n    \n    return mad\n```", "answer": "", "question_quality": "0", "code": ""}
 {"key": "HumanEval/4_prompt2cp", "name": "HumanEval/4", "prompt_type": "prompt2cp", "index": 0, "response": "```python\nfrom typing import List\n\ndef mean_absolute_deviation(numbers: List[float]) -> float:\n    if len(numbers) == 0:\n        return None\n    \n    mean = sum(numbers) / len(numbers)\n    deviations = [abs(num - mean) for num in numbers]\n    \n    return sum(deviations) / len(deviations)\n```", "answer": "", "question_quality": "0", "code": ""}
 {"key": "HumanEval/4_prompt3acp", "name": "HumanEval/4", "prompt_type": "prompt3acp", "index": 0, "response": "```python\ndef candidate(numbers: List[float]) -> float:\n    mean = sum(numbers) / len(numbers)\n    absolute_deviations = [abs(num - mean) for num in numbers]\n    mean_absolute_deviation = sum(absolute_deviations) / len(absolute_deviations)\n    \n    return mean_absolute_deviation\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/5_prompt1a", "name": "HumanEval/5", "prompt_type": "prompt1a", "index": 0, "response": "```python\ndef candidate(numbers: List[int], x: int) -> List[int]:\n    new_list = []\n    for num in numbers:\n        new_list.extend([num, x])\n    new_list.pop()  # remove the extra 'x' at the end\n    return new_list\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/5_prompt1c", "name": "HumanEval/5", "prompt_type": "prompt1c", "index": 0, "response": "```python\ndef intersperse(numbers: List[int], delimiter: int) -> List[int]:\n    result = []\n    for i in range(len(numbers)):\n        result.append(numbers[i])\n        if i < len(numbers) - 1:\n            result.append(delimiter)\n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/5_prompt1p", "name": "HumanEval/5", "prompt_type": "prompt1p", "index": 0, "response": "```python\ndef candidate(numbers: List[int], delimeter: int) -> List[int]:\n    numbers.append(delimeter)\n    return numbers\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/5_prompt2ac", "name": "HumanEval/5", "prompt_type": "prompt2ac", "index": 0, "response": "```python\ndef candidate(numbers: List[int], x: int) -> List[int]:\n    result = []\n    for num in numbers:\n        result.append(num)\n        if num == numbers[-1]:\n            result.append(x)\n    if not numbers:\n        result.append(x)\n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/6_prompt1a", "name": "HumanEval/6", "prompt_type": "prompt1a", "index": 0, "response": "```python\ndef candidate(paren_string: str) -> List[int]:\n    max_levels = []\n    current_level = 0\n\n    for char in paren_string:\n        if char == '(':\n            current_level += 1\n            max_levels.append(current_level)\n        elif char == ')':\n            current_level -= 1\n\n    return [max(max_levels[i:i + 2], default=0) for i in range(0, len(max_levels), 2)]\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/6_prompt1c", "name": "HumanEval/6", "prompt_type": "prompt1c", "index": 0, "response": "```python\ndef parse_nested_parens(paren_string: str) -> List[int]:\n    depths = []\n    current_depth = 0\n    for char in paren_string:\n        if char == '(':\n            current_depth += 1\n            depths.append(current_depth)\n        elif char == ')':\n            current_depth -= 1\n    return [max(depths[i: depths.index(0, i)]) for i in range(0, len(depths), 2)]\n\n# Test the function\noutput = parse_nested_parens('(()())((()))()((())()())')\nprint(output)\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/6_prompt1p", "name": "HumanEval/6", "prompt_type": "prompt1p", "index": 0, "response": "```python\ndef parse_nested_parens(paren_string: str) -> List[int]:\n    result = []\n    for group in paren_string.split():\n        stack = []\n        count = 0\n        for char in group:\n            if char == \"(\":\n                stack.append(char)\n            elif char == \")\":\n                if stack:\n                    stack.pop()\n                    count += 1\n        result.append(count)\n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/6_prompt2ac", "name": "HumanEval/6", "prompt_type": "prompt2ac", "index": 0, "response": "```python\nfrom typing import List\n\ndef candidate(paren_string: str) -> List[int]:\n    depths = []\n    current_depth = 0\n    \n    for char in paren_string:\n        if char == '(':\n            current_depth += 1\n        elif char == ')':\n            depths.append(current_depth)\n            current_depth -= 1\n\n    return depths\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/6_prompt2ap", "name": "HumanEval/6", "prompt_type": "prompt2ap", "index": 0, "response": "```python\ndef candidate(paren_string: str) -> List[int]:\n    result = []\n    stack = []\n    group = 1\n    for char in paren_string:\n        if char == '(':\n            stack.append(group)\n            result.append(group)\n            group += 1\n        elif char == ')':\n            result.append(stack.pop())\n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/7_prompt1a", "name": "HumanEval/7", "prompt_type": "prompt1a", "index": 0, "response": "```python\nfrom typing import List\n\ndef candidate(strings: List[str], x: str) -> List[str]:\n    result = [s for s in strings if x in s]\n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/7_prompt1c", "name": "HumanEval/7", "prompt_type": "prompt1c", "index": 0, "response": "```python\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n    return [s for s in strings if substring in s]\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/7_prompt1p", "name": "HumanEval/7", "prompt_type": "prompt1p", "index": 0, "response": "```python\ndef filter_by_substring(strings: List[str], substring: str) -> List[str]:\n    return [s for s in strings if substring in s]\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/7_prompt2ac", "name": "HumanEval/7", "prompt_type": "prompt2ac", "index": 0, "response": "I need to ask a clarifying question: Are we supposed to return strings from the input list that contain the given string x as a substring?", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/7_prompt2ap", "name": "HumanEval/7", "prompt_type": "prompt2ap", "index": 0, "response": "Could you please provide more specific information on what the `candidate` function should do with the input list of strings and the string `x`? This will help me generate the Python3 code accurately.", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/8_prompt1a", "name": "HumanEval/8", "prompt_type": "prompt1a", "index": 0, "response": "```python\ndef candidate(numbers: List[int]) -> Tuple[int, int]:\n    if not numbers:\n        return (0, 1)\n    \n    sum_result = sum(numbers)\n    \n    product_result = 1\n    for num in numbers:\n        product_result *= num\n    \n    return (sum_result, product_result)\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/8_prompt1c", "name": "HumanEval/8", "prompt_type": "prompt1c", "index": 0, "response": "```python\nfrom typing import List, Tuple\n\ndef sum_product(numbers: List[int]) -> Tuple[int, int]:\n    if not numbers:\n        return (0, 1)\n    total_sum = sum(numbers)\n    total_product = 1\n    for num in numbers:\n        total_product *= num\n    return (total_sum, total_product)\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/8_prompt1p", "name": "HumanEval/8", "prompt_type": "prompt1p", "index": 0, "response": "```python\nfrom typing import List, Tuple\n\ndef candidate(numbers: List[int]) -> Tuple[int, int]:\n    sum_total = sum(numbers)\n    product_total = 1\n    for num in numbers:\n        product_total *= num\n    return sum_total, product_total\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/8_prompt2ac", "name": "HumanEval/8", "prompt_type": "prompt2ac", "index": 0, "response": "```python\nfrom typing import List, Tuple\nfrom itertools import combinations\nfrom math import prod\n\ndef candidate(numbers: List[int]) -> Tuple[int, int]:\n    if not numbers:\n        return (1, 0)\n    \n    max_product = -float('inf')\n    result = (0, 0)\n    \n    for r in range(1, len(numbers) + 1):\n        for subset in combinations(numbers, r):\n            current_product = prod(subset)\n            if current_product > max_product:\n                max_product = current_product\n                result = (sum(subset), max_product)\n    \n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/8_prompt2ap", "name": "HumanEval/8", "prompt_type": "prompt2ap", "index": 0, "response": "I can help generate the Python3 code for the `candidate` function. Do you have any specific requirements for how the subset of integers should be chosen to calculate the sum and product?", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/9_prompt1a", "name": "HumanEval/9", "prompt_type": "prompt1a", "index": 0, "response": "```python\nfrom collections import deque\n\ndef candidate(numbers: List[int]) -> List[int]:\n    result = []\n    max_queue = deque()\n    \n    for i in range(len(numbers)):\n        while max_queue and numbers[i] > numbers[max_queue[-1]]:\n            max_queue.pop()\n        max_queue.append(i)\n        \n        if max_queue[0] == i - 3:\n            max_queue.popleft()\n            \n        result.append(numbers[max_queue[0]])\n        \n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/9_prompt1c", "name": "HumanEval/9", "prompt_type": "prompt1c", "index": 0, "response": "```python\nfrom typing import List, Tuple\n\ndef rolling_max(numbers: List[int]) -> List[int]:\n    max_so_far = float('-inf')\n    result = []\n    for num in numbers:\n        max_so_far = max(max_so_far, num)\n        result.append(max_so_far)\n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/9_prompt1p", "name": "HumanEval/9", "prompt_type": "prompt1p", "index": 0, "response": "```python\nfrom collections import deque\n\ndef rolling_max(numbers: List[int]) -> List[int]:\n    result = []\n    window = deque()\n    \n    for i, num in enumerate(numbers):\n        while window and numbers[window[-1]] < num:\n            window.pop()\n        window.append(i)\n        \n        if window[0] == i - len(window):\n            window.popleft()\n        \n        result.append(numbers[window[0]])\n    \n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/9_prompt2ac", "name": "HumanEval/9", "prompt_type": "prompt2ac", "index": 0, "response": "```python\ndef candidate(numbers: List[int]) -> List[int]:\n    result = []\n    min_numbers = []\n    max_numbers = []\n    \n    for num in numbers:\n        if not min_numbers or num <= min_numbers[-1]:\n            min_numbers.append(num)\n        else:\n            min_numbers.append(min_numbers[-1])\n        \n        if not max_numbers or num >= max_numbers[-1]:\n            max_numbers.append(num)\n        else:\n            max_numbers.append(max_numbers[-1])\n        \n        if min_numbers[-1] == max_numbers[-1]:\n            result.append(1)\n        else:\n            result.append(0)\n\n    return result\n```", "answer": "", "question_quality": "0", "code": ""}
+{"key": "HumanEval/9_prompt2ap", "name": "HumanEval/9", "prompt_type": "prompt2ap", "index": 0, "response": "```python\ndef candidate(numbers: List[int]) -> List[int]:\n    return [sum(numbers[:i+1]) for i in range(len(numbers))]\n```", "answer": "", "question_quality": "0", "code": ""}