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BigCodeBench / BigCodeBench v0.1.0_hf f2eb975e-0e1c-584c-be44-917e0b54d0cc

Problem

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

complete prompt

import numpy as np
from scipy import integrate
import matplotlib.pyplot as plt


def task_func(func, x_range=(-2, 2), num_points=1000):
    """
    Calculates and plots both a given function and its cumulative integral over a specified range,
    using a linearly spaced range of x-values.

    Parameters:
    func (function): A function of a single variable to integrate and plot.
    x_range (tuple, optional): The range (start, end) over which to evaluate `func`. Defaults to (-2, 2).
    num_points (int, optional): Number of points to generate in `x_range`. Defaults to 1000.

    Returns:
    matplotlib.axes.Axes: The Axes object containing the plots of the function and its integral.

    Requirements:
    - numpy
    - scipy
    - matplotlib

    Note:
    - The plot includes a legend and labels for the x and y axes that include the function's name.

    Example:
    >>> ax = task_func(np.sin)
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    >>> ax.get_legend_handles_labels()[-1]
    ['sin(x)', 'Integral of sin(x)']
    """

instruct prompt

Calculates and plots both a given function and its cumulative integral over a specified range, using a linearly spaced range of x-values.
Note that: The plot includes a legend and labels for the x and y axes that include the function's name.
The function should output with:
    matplotlib.axes.Axes: The Axes object containing the plots of the function and its integral.
You should write self-contained code starting with:

Code

import numpy as np
from scipy import integrate
import matplotlib.pyplot as plt
def task_func(func, x_range=(-2, 2), num_points=1000):

code prompt

Code

import numpy as np
from scipy import integrate
import matplotlib.pyplot as plt
def task_func(func, x_range=(-2, 2), num_points=1000):

entry point

task_func

libs

  • numpy
  • matplotlib
  • scipy

Discussion

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Source and history

task_id
f2eb975e-0e1c-584c-be44-917e0b54d0cc
task_key
default--v0~2e1~2e0~5fhf--f2eb975e-0e1c-584c-be44-917e0b54d0cc
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import