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BigCodeBench / BigCodeBench v0.1.0_hf d6aff113-f861-52b9-b941-0b4f0a778b1a

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import numpy as np
from collections import defaultdict
import json
import csv

# Constants
def task_func(input_file, output_file):
    """
    Read a list of dictionaries from a JSON file, calculate the mean and median for each key, and write the results to a CSV file.
    
    Parameters:
    - input_file (str): The input JSON file name.
    - output_file (str): The output CSV file name.

    Returns:
    - dict: A dictionary where each key is a field from the input JSON and each value is another dictionary with the mean and median of that field.

    Requirements:
    - numpy
    - collections
    - json
    - csv

    Example:
    >>> task_func('data.json', 'stats.csv')
    """

instruct prompt

Read a list of dictionaries from a JSON file, calculate the mean and median for each key, and write the results to a CSV file.
The function should output with:
    dict: A dictionary where each key is a field from the input JSON and each value is another dictionary with the mean and median of that field.
You should write self-contained code starting with:

Code

import numpy as np
from collections import defaultdict
import json
import csv
# Constants
def task_func(input_file, output_file):

code prompt

Code

import numpy as np
from collections import defaultdict
import json
import csv
# Constants
def task_func(input_file, output_file):

entry point

task_func

libs

  • collections
  • csv
  • numpy
  • json

Discussion

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Source and history

task_id
d6aff113-f861-52b9-b941-0b4f0a778b1a
task_key
default--v0~2e1~2e0~5fhf--d6aff113-f861-52b9-b941-0b4f0a778b1a
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import