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BigCodeBench / BigCodeBench v0.1.0_hf 460616f1-8c36-50d7-ab2d-0791d3c3d495

Problem

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

complete prompt

import cv2
import os
import numpy as np

def task_func(image_file: str) -> np.ndarray:
    """
    Creates a histogram of the pixel values of a grayscale image.

    Parameters:
    - image_file (str): The path to the image file.

    Returns:
    - np.ndarray: A 1D numpy array representing the histogram of the image, with 256 bins corresponding to 
      the pixel values in the range [0, 256). Each entry in the array represents the frequency of a pixel value 
      in the grayscale image.

    Raises:
    - FileNotFoundError: If the specified image file does not exist.
    - ValueError: If the image file is not a valid image.

    Requirements:
    - opencv: For reading the image file in grayscale.
    - os: For checking the existence of the image file.
    - numpy: For calculating and storing the histogram data.

    Example:
    >>> dummy_image_path = 'dummy_image.png'
    >>> np.random.seed(48)
    >>> dummy_image = np.random.randint(0, 256, (10, 10), dtype=np.uint8)
    >>> cv2.imwrite(dummy_image_path, dummy_image)
    True
    >>> histogram = task_func(dummy_image_path)
    >>> os.remove(dummy_image_path)
    >>> print(histogram.shape)
    (256,)

    Note:
    - The function assumes the image is in grayscale format.
    - The histogram array is 1D with a size of 256, where each index corresponds to a pixel value, and the value at each index
      represents the count of pixels in the image with that pixel value.
    """

instruct prompt

Creates a histogram of the pixel values of a grayscale image.
Note that: The function assumes the image is in grayscale format. The histogram array is 1D with a size of 256, where each index corresponds to a pixel value, and the value at each index represents the count of pixels in the image with that pixel value.
The function should raise the exception for: FileNotFoundError: If the specified image file does not exist. ValueError: If the image file is not a valid image.
The function should output with:
    np.ndarray: A 1D numpy array representing the histogram of the image, with 256 bins corresponding to
    the pixel values in the range [0, 256). Each entry in the array represents the frequency of a pixel value
    in the grayscale image.
You should write self-contained code starting with:

Code

import cv2
import os
import numpy as np
def task_func(image_file: str) -> np.ndarray:

code prompt

Code

import cv2
import os
import numpy as np
def task_func(image_file: str) -> np.ndarray:

entry point

task_func

libs

  • numpy
  • cv2
  • os

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Source and history

task_id
460616f1-8c36-50d7-ab2d-0791d3c3d495
task_key
default--v0~2e1~2e0~5fhf--460616f1-8c36-50d7-ab2d-0791d3c3d495
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import