BigCodeBench / BigCodeBench v0.1.0_hf 48b06b15-43b0-5cac-afb2-e180d2ddeac0

complete prompt

import heapq
import math
import matplotlib.pyplot as plt


def task_func(l1, l2, N=10):
    """ 
    Find the N biggest differences between the respective elements of the list 'l1' and list 'l2', 
    square the differences, take the square root and return the plotted values as a matplotlib Axes object.

    Parameters:
    l1 (list): A list of numbers.
    l2 (list): A list of numbers.
    N (int): Number of largest differences to consider. Default is 10.

    Returns:
    matplotlib.axes._axes.Axes: A matplotlib Axes object with the plotted differences.

    Requirements:
    - heapq
    - math
    - matplotlib.pyplot

    Example:
    >>> l1 = [99, 86, 90, 70, 86, 95, 56, 98, 80, 81]
    >>> l2 = [21, 11, 21, 1, 26, 40, 4, 50, 34, 37]
    >>> ax = task_func(l1, l2)
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    """

instruct prompt

Find the N biggest differences between the respective elements of the list 'l1' and list 'l2', square the differences, take the square root and return the plotted values as a matplotlib Axes object.
The function should output with:
    matplotlib.axes._axes.Axes: A matplotlib Axes object with the plotted differences.
You should write self-contained code starting with:

Code

import heapq
import math
import matplotlib.pyplot as plt
def task_func(l1, l2, N=10):

code prompt

Code

import heapq
import math
import matplotlib.pyplot as plt
def task_func(l1, l2, N=10):

entry point

task_func

libs

• math
• matplotlib
• heapq