BigCodeBench / BigCodeBench v0.1.0_hf f5a0ce17-ffaa-55f5-a94b-acca5bf2c026

complete prompt

import random
import seaborn as sns
import numpy as np
from matplotlib import pyplot as plt

def task_func(length, range_limit=100, seed=0):
    """
    Create a list of random numbers, sort them and record the distribution of the numbers in a histogram using 
    default settings in a deterministic seaborn plot. Return the axes object and the list of random numbers.

    Parameters:
    length (int): The length of the list of random numbers.
    range_limit (int, Optional): The range of the random numbers. Defaults to 100. Must be greater than 1.
    seed (int, Optional): The seed value for the random number generator. Defaults to 0.

    Returns:
    Tuple[matplotlib.axes._axes.Axes, List[int]]: The axes object with the plot and the list of random numbers.

    Requirements:
    - random
    - matplotlib.pyplot
    - seaborn
    - numpy

    Raises:
    ValueError: If range_limit is less than or equal to 1.

    Example:
    >>> import matplotlib.pyplot as plt
    >>> ax, data = task_func(1000, 100, 24) # Generate a list of 1000 random numbers between 1 and 100
    >>> isinstance(ax, plt.Axes)
    True
    """

instruct prompt

Create a list of random numbers, sort them and record the distribution of the numbers in a histogram using default settings in a deterministic seaborn plot. Return the axes object and the list of random numbers.
The function should raise the exception for: ValueError: If range_limit is less than or equal to 1.
The function should output with:
    Tuple[matplotlib.axes._axes.Axes, List[int]]: The axes object with the plot and the list of random numbers.
You should write self-contained code starting with:

Code

import random
import seaborn as sns
import numpy as np
from matplotlib import pyplot as plt
def task_func(length, range_limit=100, seed=0):

code prompt

Code

import random
import seaborn as sns
import numpy as np
from matplotlib import pyplot as plt
def task_func(length, range_limit=100, seed=0):

entry point

task_func

libs

• numpy
• matplotlib
• random
• seaborn