BigCodeBench / BigCodeBench v0.1.0_hf 64934759-54a2-5ffa-b0fe-66d7d91e6d47

complete prompt

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

def task_func(mu, sigma, num_samples):
    """
    Display a plot showing a normal distribution with a given mean and standard deviation and overlay a histogram of randomly generated samples from this distribution.
    The plot title should be 'Normal Distribution'.

    Parameters:
    mu (float): The mean of the distribution.
    sigma (float): The standard deviation of the distribution.
    num_samples (int): The number of samples to generate.

    Returns:
    fig (matplotlib.figure.Figure): The generated figure. Useful for testing purposes.

    Requirements:
    - numpy
    - scipy.stats
    - matplotlib.pyplot

    Example:
    >>> plt = task_func(0, 1, 1000)
    """

instruct prompt

Display a plot showing a normal distribution with a given mean and standard deviation and overlay a histogram of randomly generated samples from this distribution. The plot title should be 'Normal Distribution'.
The function should output with:
    fig (matplotlib.figure.Figure): The generated figure. Useful for testing purposes.
You should write self-contained code starting with:

Code

import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
def task_func(mu, sigma, num_samples):

code prompt

Code

import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
def task_func(mu, sigma, num_samples):

entry point

task_func

libs

• numpy
• matplotlib
• scipy