BigCodeBench / BigCodeBench v0.1.0_hf 6a818fd0-edfc-5cea-80a7-f3ee9d28c555

complete prompt

import numpy as np
import matplotlib.pyplot as plt
from random import randint
import math

def task_func(POINTS=100):
    """
    Simulates a random walk in a two-dimensional space and draws the path using matplotlib.
    The walk is determined by randomly choosing directions at each step. The function generates
    two numpy arrays representing the x and y coordinates of each step and plots these points
    to visualize the path of the walk.

    Parameters:
        POINTS (int): The number of steps in the random walk. Default is 100.

    Returns:
        A matplotlib figure object representing the plot of the random walk.

    Requirements:
        - numpy
        - matplotlib.pyplot
        - random.randint
        - math

    Examples:
        >>> import matplotlib
        >>> fig = task_func(200)  # Displays a plot of a random walk with 200 steps
        >>> isinstance(fig, matplotlib.figure.Figure)
        True
    """

instruct prompt

Simulates a random walk in a two-dimensional space and draws the path using matplotlib. The walk is determined by randomly choosing directions at each step. The function generates two numpy arrays representing the x and y coordinates of each step and plots these points to visualize the path of the walk.
The function should output with:
    A matplotlib figure object representing the plot of the random walk.
You should write self-contained code starting with:

Code

import numpy as np
import matplotlib.pyplot as plt
from random import randint
import math
def task_func(POINTS=100):

code prompt

Code

import numpy as np
import matplotlib.pyplot as plt
from random import randint
import math
def task_func(POINTS=100):

entry point

task_func

libs

• math
• numpy
• matplotlib
• random