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BigCodeBench / BigCodeBench v0.1.0_hf fcd3ef0b-fc37-5a0e-a7b9-fee24e05748d

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 stats
import matplotlib.pyplot as plt

def task_func(mean, std_dev, n):
    """
    Generates a set of samples from a normal distribution with a specified mean and standard deviation.
    It also visualizes the generated samples by plotting their histogram and the probability density function.

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

    Returns:
    numpy.ndarray: An array of generated samples from the normal distribution.

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

    Examples:
    Generate 1000 samples from a normal distribution with mean 0 and standard deviation 1.
    >>> len(task_func(0, 1, 1000))
    1000

    Generate 500 samples from a normal distribution with mean 5 and standard deviation 2.
    >>> len(task_func(5, 2, 500))
    500
    """

instruct prompt

Generates a set of samples from a normal distribution with a specified mean and standard deviation. It also visualizes the generated samples by plotting their histogram and the probability density function. Generate 500 samples from a normal distribution with mean 5 and standard deviation 2. >>> len(task_func(5, 2, 500)) 500
The function should output with:
    numpy.ndarray: An array of generated samples from the normal distribution.
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(mean, std_dev, n):

code prompt

Code

import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
def task_func(mean, std_dev, n):

entry point

task_func

libs

  • numpy
  • matplotlib
  • scipy

Discussion

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Source and history

task_id
fcd3ef0b-fc37-5a0e-a7b9-fee24e05748d
task_key
default--v0~2e1~2e0~5fhf--fcd3ef0b-fc37-5a0e-a7b9-fee24e05748d
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import