code: def test_dataset_with_image_feature(shared_datadir):
      import PIL.Image
  
      image_path = str(shared_datadir / "test_image_rgb.jpg")
      data = {"image": [image_path]}
      features = Features({"image": Image()})
      dset = Dataset.from_dict(data, features=features)
      item = dset[0]
      assert item.keys() == {"image"}
      assert isinstance(item["image"], PIL.Image.Image)
      assert os.path.samefile(item["image"].filename, image_path)
      assert item["image"].format == "JPEG"
      assert item["image"].size == (640, 480)
      assert item["image"].mode == "RGB"
      batch = dset[:1]
      assert len(batch) == 1
      assert batch.keys() == {"image"}
      assert isinstance(batch["image"], list) and all(
          isinstance(item, PIL.Image.Image) for item in batch["image"]
      )
      assert os.path.samefile(batch["image"][0].filename, image_path)
      assert batch["image"][0].format == "JPEG"
      assert batch["image"][0].size == (640, 480)
      assert batch["image"][0].mode == "RGB"
      column = dset["image"]
      assert len(column) == 1
      assert isinstance(column, list) and all(
          isinstance(item, PIL.Image.Image) for item in column
      )
      assert os.path.samefile(column[0].filename, image_path)
      assert column[0].format == "JPEG"
      assert column[0].size == (640, 480)
      assert column[0].mode == "RGB"
  
imports: import os
  import tarfile
  import warnings
  import numpy
  import pandas
  import pyarrow
  import pytest
  from datasets import Dataset, Features, Image, Sequence, Value, concatenate_datasets, load_dataset
  from datasets.features.image import encode_np_array, image_to_bytes
  from ..utils import require_pil
label_desc: Use image node_id 7 for calling a global function with example usage: test_dataset_with_image_feature(shared_datadir) without return types