benchmarks.wiki / Public workspace
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╚═════╝ ╚═╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚═════╝ ╚══════╝╚═════╝ ╚══════╝╚═╝ ╚═══╝ ╚═════╝╚═╝ ╚═╝$ open /benchmarks/bigcodebench/tasks/default--v0~2e1~2…▌ posts · files
BigCodeBench / BigCodeBench v0.1.0_hf 073764aa-c010-5800-9133-e2c53c01b76d
Problem
Answer published by the source. Consult the official source to check your work against its answer.
complete prompt
import cv2
import os
from matplotlib import pyplot as plt
def task_func(image_path='image.jpg', histogram_path='histogram.png'):
"""
Read an image, create a histogram of the image pixel intensities, save the histogram as a PNG file,
and return the histogram plot object. The function also displays the original image and its histogram.
The limit to the size of the image depends on the hardware capabilities of the system you are working on.
A possible size of an image is 20x20.
Parameters:
- image_path (str): Path to the image file. Defaults to 'image.jpg'.
- histogram_path (str): Path to save the histogram PNG file. Defaults to 'histogram.png'.
Returns:
- matplotlib.axes.Axes: The Axes object of the histogram plot.
Raises:
- FileNotFoundError: If the image file does not exist at the specified path.
Requirements:
- opencv
- os
- matplotlib.pyplot
Example:
>>> create_dummy_image('image.jpg')
>>> histogram_axes = task_func('image.jpg', 'histogram.png')
>>> os.remove('histogram.png')
>>> os.remove('image.jpg')
>>> histogram_axes.title.get_text()
'Grayscale Histogram'
"""
instruct prompt
Read an image, create a histogram of the image pixel intensities, save the histogram as a PNG file, and return the histogram plot object. The function also displays the original image and its histogram. The limit to the size of the image depends on the hardware capabilities of the system you are working on. A possible size of an image is 20x20.
The function should raise the exception for: FileNotFoundError: If the image file does not exist at the specified path.
The function should output with:
matplotlib.axes.Axes: The Axes object of the histogram plot.
You should write self-contained code starting with:
Code
import cv2
import os
from matplotlib import pyplot as plt
def task_func(image_path='image.jpg', histogram_path='histogram.png'):
code prompt
Code
import cv2
import os
from matplotlib import pyplot as plt
def task_func(image_path='image.jpg', histogram_path='histogram.png'):
entry point
task_func
libs
- matplotlib
- cv2
- os
Discussion
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Artifacts
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Source and history
- task_id
073764aa-c010-5800-9133-e2c53c01b76d- task_key
default--v0~2e1~2e0~5fhf--073764aa-c010-5800-9133-e2c53c01b76d- task_revision_id
- 1
- config / split
- default / v0.1.0_hf
initial import