benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf afc7b361-52b9-5b33-80bf-14b1aaeee5ae
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
from PIL import Image, ImageFilter
import cv2
import numpy as np
import os
def task_func(img_path, blur_radius=5):
"""
Open an RGB image from a specific path, apply a blur filter, convert it to grayscale, and then display both the original and the edited images side by side.
Returns numpy arrays representing both the original and the processed images.
Parameters:
- img_path (str): The path of the image file.
- blur_radius (int): The radius of the Gaussian blur filter. Default is 5.
Returns:
- tuple: A tuple containing two numpy arrays, the first representing the original image and
the second representing the blurred and grayscaled image.
Raises:
- FileNotFoundError: If the image file does not exist at the specified path.
Requirements:
- PIL
- opencv-python
- numpy
- os
Example:
>>> image_path = 'sample.png'
>>> create_dummy_image(image_path=image_path)
>>> original, processed = task_func(image_path)
>>> os.remove(image_path)
"""
instruct prompt
Open an RGB image from a specific path, apply a blur filter, convert it to grayscale, and then display both the original and the edited images side by side. Returns numpy arrays representing both the original and the processed images.
The function should raise the exception for: FileNotFoundError: If the image file does not exist at the specified path.
The function should output with:
tuple: A tuple containing two numpy arrays, the first representing the original image and
the second representing the blurred and grayscaled image.
You should write self-contained code starting with:
Code
from PIL import Image, ImageFilter
import cv2
import numpy as np
import os
def task_func(img_path, blur_radius=5):
code prompt
Code
from PIL import Image, ImageFilter
import cv2
import numpy as np
import os
def task_func(img_path, blur_radius=5):
entry point
task_func
libs
- cv2
- numpy
- PIL
- os
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.
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Source and history
- task_id
afc7b361-52b9-5b33-80bf-14b1aaeee5ae- task_key
default--v0~2e1~2e0~5fhf--afc7b361-52b9-5b33-80bf-14b1aaeee5ae- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import