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BigCodeBench / BigCodeBench v0.1.0_hf 7dbbf75a-0337-5d5b-9a3d-cebee6895171

Problem

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

complete prompt

import re
from scipy.stats import gaussian_kde
from scipy import linalg
import matplotlib.pyplot as plt


def task_func(text):
    """
    This code takes a text input, calculates the lengths of the words, 
    and visualizes the distribution of word lengths using a histogram and a KDE curve (if applicable) on a matplotlib subplot.

    Parameters:
    text (str): The text string to be analyzed. The function can handle strings with various types 
                of characters and punctuation.

    Returns:
    matplotlib.axes._axes.Axes: An Axes object showing the histogram and optionally the KDE 
                                           plot of word lengths. This visual representation helps in 
                                           understanding the distribution of word lengths in the given text.

    Requirements:
    - re
    - matplotlib
    - scipy
    - matplotlib

    Example:
    >>> ax = task_func('Hello world! This is a test.')
    >>> type(ax)
    <class 'matplotlib.axes._axes.Axes'>
    """

instruct prompt

This code takes a text input, calculates the lengths of the words, and visualizes the distribution of word lengths using a histogram and a KDE curve (if applicable) on a matplotlib subplot.
The function should output with:
    matplotlib.axes._axes.Axes: An Axes object showing the histogram and optionally the KDE
    plot of word lengths. This visual representation helps in
    understanding the distribution of word lengths in the given text.
You should write self-contained code starting with:

Code

import re
from scipy.stats import gaussian_kde
from scipy import linalg
import matplotlib.pyplot as plt
def task_func(text):

code prompt

Code

import re
from scipy.stats import gaussian_kde
from scipy import linalg
import matplotlib.pyplot as plt
def task_func(text):

entry point

task_func

libs

  • re
  • matplotlib
  • scipy

Discussion

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Source and history

task_id
7dbbf75a-0337-5d5b-9a3d-cebee6895171
task_key
default--v0~2e1~2e0~5fhf--7dbbf75a-0337-5d5b-9a3d-cebee6895171
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import