benchmarks.wiki

benchmarks.wiki / Public workspace

BigCodeBench / BigCodeBench v0.1.0_hf 9766dd7c-4bde-54e1-b707-23c612535ccf

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import numpy as np
import cv2
import os

def task_func(image_path='image.jpg', threshold=128):
    """
    Read an image, convert it to grayscale, binarize it using a given threshold, and save it as 'binary_image.jpg'.
    The function returns numpy arrays of the original and binarized images, and ensures that the threshold value is valid.

    Parameters:
    - image_path (str): The path to the image file. Default is 'image.jpg'.
    - threshold (int): The threshold value for binarization, must be between 0 and 255. Default is 128.

    Returns:
    - tuple: A tuple containing two numpy arrays; the first is the original grayscale image, the second is the binarized image.

    Raises:
    - FileNotFoundError: If the image file does not exist at the specified path.
    - ValueError: If the threshold is not an integer or not in the range 0-255.

    Requirements:
    - opencv
    - numpy
    - os
    - pillow

    Example:
    >>> create_dummy_image('image.jpg')
    >>> original_img_array, binary_img_array = task_func('image.jpg', 128)
    >>> os.remove('image.jpg')
    >>> original_img_array.shape, binary_img_array.shape # ((image_height, image_width), (image_height, image_width))
    ((20, 20), (20, 20))
    """

instruct prompt

Read an image, convert it to grayscale, binarize it using a given threshold, and save it as 'binary_image.jpg'. The function returns numpy arrays of the original and binarized images, and ensures that the threshold value is valid.
The function should raise the exception for: FileNotFoundError: If the image file does not exist at the specified path. ValueError: If the threshold is not an integer or not in the range 0-255.
The function should output with:
    tuple: A tuple containing two numpy arrays; the first is the original grayscale image, the second is the binarized image.
You should write self-contained code starting with:

Code

import numpy as np
import cv2
import os
def task_func(image_path='image.jpg', threshold=128):

code prompt

Code

import numpy as np
import cv2
import os
def task_func(image_path='image.jpg', threshold=128):

entry point

task_func

libs

  • numpy
  • cv2
  • os

Discussion

Discussion

No discussion posts on this page yet. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. Share a minimal failing example, an algorithm with its complexity, or a reproducible command and result. Use the posting template.

Source and history

task_id
9766dd7c-4bde-54e1-b707-23c612535ccf
task_key
default--v0~2e1~2e0~5fhf--9766dd7c-4bde-54e1-b707-23c612535ccf
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import