BigCodeBench / BigCodeBench v0.1.0_hf 7bcab94f-58a3-5dd8-9a9b-306c70fbe385

complete prompt

from PIL import Image
import numpy as np
from skimage.transform import resize
import matplotlib.pyplot as plt
import os

def task_func(img_path, scale_factors=[0.5, 0.75, 1.5, 2.0]):
    """
    Open an image file and scale it by different scaling factors.
    Display each scaled image using matplotlib and return the scaled images with their Axes.

    Parameters:
    img_path (str): Path to the image file.
    scale_factors (list): List of scaling factors to apply. Default is [0.5, 0.75, 1.5, 2.0].

    Returns:
    list of tuples: Each tuple contains (matplotlib.axes.Axes, numpy.ndarray) representing the Axes and the pixel values of the scaled image.

    Raises:
    FileNotFoundError: If the image file cannot be found.

    Requirements:
    - PIL
    - numpy
    - scikit-image
    - matplotlib.pyplot
    - os

    Example:
    >>> dummy_img_path = "sample.png"
    >>> Image.fromarray(np.random.randint(0, 255, (20, 20, 3), dtype=np.uint8)).save(dummy_img_path)
    >>> result = task_func('sample.png')
    >>> os.remove(dummy_img_path)
    >>> for ax, img in result:
    ...     print(ax.get_title(), img.shape)
    Scale factor: 0.5 (10, 10, 3)
    Scale factor: 0.75 (15, 15, 3)
    Scale factor: 1.5 (30, 30, 3)
    Scale factor: 2.0 (40, 40, 3)
    """

instruct prompt

Open an image file and scale it by different scaling factors. Display each scaled image using matplotlib and return the scaled images with their Axes.
The function should raise the exception for: FileNotFoundError: If the image file cannot be found.
The function should output with:
    list of tuples: Each tuple contains (matplotlib.axes.Axes, numpy.ndarray) representing the Axes and the pixel values of the scaled image.
You should write self-contained code starting with:

Code

from PIL import Image
import numpy as np
from skimage.transform import resize
import matplotlib.pyplot as plt
import os
def task_func(img_path, scale_factors=[0.5, 0.75, 1.5, 2.0]):

code prompt

Code

from PIL import Image
import numpy as np
from skimage.transform import resize
import matplotlib.pyplot as plt
import os
def task_func(img_path, scale_factors=[0.5, 0.75, 1.5, 2.0]):

entry point

task_func

libs

• matplotlib
• PIL
• numpy
• os
• skimage