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BigCodeBench / BigCodeBench v0.1.0_hf 701a1583-ab75-5b33-ad29-12f720799905

Problem

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

complete prompt

import math
import statistics
import numpy as np


def task_func(input_list):
    """
    Sorts the input list in ascending order based on the degree value of its elements, and then 
    calculates the mean, median, and mode of both the sorted list and the same for the magnitude of 
    the fast fourier transform of the degree values upto the nearest integer.

    Parameters:
    input_list (list): A list of numbers to be sorted and analyzed.

    Returns:
    tuple: A tuple containing the rounded mean, median and mode of the sorted list along with those 
    for the magnitude of the fast fourier transform of the degree values.

    Requirements:
    - math
    - statistics
    - numpy

    Example:
    >>> input_list = [30, 45, 60, 90, 180]
    >>> stats = task_func(input_list)
    >>> print(stats)
    (81, 60, 30, 10712, 8460, 8460)
    """

instruct prompt

Sorts the input list in ascending order based on the degree value of its elements, and then calculates the mean, median, and mode of both the sorted list and the same for the magnitude of the fast fourier transform of the degree values upto the nearest integer.
The function should output with:
    tuple: A tuple containing the rounded mean, median and mode of the sorted list along with those
    for the magnitude of the fast fourier transform of the degree values.
You should write self-contained code starting with:

Code

import math
import statistics
import numpy as np
def task_func(input_list):

code prompt

Code

import math
import statistics
import numpy as np
def task_func(input_list):

entry point

task_func

libs

  • statistics
  • math
  • numpy

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Source and history

Official source

initial import