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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def maybe_download_image_dataset(image_ids, target_dir):
 """Download a set of images from api.brain-map.org to `target_dir`. Args: image_ids: list, a list of image ids. target_dir: str, a directory to which to download the images. """


  tf.gfile.MakeDirs(target_dir)

  num_images = len(image_ids)

  for i, image_id in enumerate(image_ids):

    destination = os.path.join(target_dir, "%s.jpg" % i)
    tmp_destination = "%s.temp" % destination

    source_url = ("http://api.brain-map.org/api/v2/"
                  "section_image_download/%s" % image_id)

    if tf.gfile.Exists(destination):
      tf.logging.info("Image with ID already present, "
                      "skipping download (%s of %s)." % (
                          i+1, num_images
                      ))
      continue

    tf.logging.info("Downloading image with id %s (%s of %s)" % (
        image_id, i+1, num_images
    ))

    response = requests.get(source_url, stream=True)

    response.raise_for_status()

    with tf.gfile.Open(tmp_destination, "w") as f:
      for block in response.iter_content(1024):
        f.write(block)

    tf.gfile.Rename(tmp_destination, destination)