test_cases/crop_quarter_image.ipynb

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    "def crop_quarter_image(image):\n",
    "    \"\"\"\n",
    "    Crops out the first half image in both dimensions (width and height). \n",
    "    The resulting image will be of quarter size compared to the original image.\n",
    "    \"\"\"\n",
    "    width = image.shape[1]\n",
    "    height = image.shape[0]\n",
    "\n",
    "    return image[:int(width/2),:int(height/2)]"
   ]
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   "outputs": [],
   "source": [
    "def check(candidate):\n",
    "    import numpy as np\n",
    "\n",
    "    image = np.asarray([\n",
    "        [0,0,0,0,0,0],\n",
    "        [0,1,0,0,2,0],\n",
    "        [0,0,0,0,0,0],\n",
    "        [0,0,0,0,0,0],\n",
    "        [0,4,0,0,3,0],\n",
    "        [0,0,0,0,0,0],\n",
    "    ])\n",
    "\n",
    "    reference = np.asarray([\n",
    "        [0,0,0],\n",
    "        [0,1,0],\n",
    "        [0,0,0],\n",
    "    ])\n",
    "    \n",
    "    assert np.array_equal(candidate(image), reference)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e4789ed1-dc01-46a6-80b2-dd98d8d7b875",
   "metadata": {},
   "outputs": [],
   "source": [
    "check(crop_quarter_image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b7881349-f4e7-4451-80d7-fde8031fdb1c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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