test_cases/measure_properties_of_regions.ipynb

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    "def measure_properties_of_regions(label_image, intensity_image):\n",
    "    \"\"\"\n",
    "    Takes a label image and an intensity image, and returns pandas dataframe\n",
    "    with measurements for area, perimeter and mean_intensity.\n",
    "    \"\"\"\n",
    "    import skimage\n",
    "    import pandas as pd\n",
    "    stats = skimage.measure.regionprops_table(label_image, intensity_image, properties=('area', 'perimeter', 'mean_intensity'))\n",
    "    return pd.DataFrame(stats)"
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    "def check(candidate):\n",
    "    import numpy as np\n",
    "\n",
    "    label_image = np.asarray([\n",
    "        [0,1,0,0,0],\n",
    "        [0,0,0,0,0],\n",
    "        [0,2,2,2,2],\n",
    "        [0,3,3,0,0],\n",
    "        [0,0,0,4,0],\n",
    "    ])\n",
    "\n",
    "    intensity_image = np.asarray([\n",
    "        [0,2,0,0,0],\n",
    "        [0,0,0,0,0],\n",
    "        [0,3,3,4,4],\n",
    "        [0,3,3,0,0],\n",
    "        [0,0,0,5,0],\n",
    "    ])\n",
    "    \n",
    "    result = candidate(label_image, intensity_image) \n",
    "    \n",
    "    assert \"mean_intensity\" in result.columns\n",
    "    assert \"area\" in result.columns\n",
    "    assert \"perimeter\" in result.columns\n",
    "    assert len(result.columns) == 3\n",
    "    assert len(result) == 4"
   ]
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   "cell_type": "code",
   "execution_count": 3,
   "id": "55fdf71d-d03c-4919-9765-0a27e27fd737",
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   "source": [
    "check(measure_properties_of_regions)"
   ]
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   "id": "d9670160-e3b3-43cf-a1c8-b30f812fae64",
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