From aacb8d1c11782481af2a2d66442cd74338c2c74f Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 10 Jul 2023 15:20:07 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 modules/GDS_dataset.ipynb | 23 +++++++++++++----------
 1 file changed, 13 insertions(+), 10 deletions(-)

diff --git a/modules/GDS_dataset.ipynb b/modules/GDS_dataset.ipynb
index 0522925b6..496761df7 100644
--- a/modules/GDS_dataset.ipynb
+++ b/modules/GDS_dataset.ipynb
@@ -155,18 +155,18 @@
     "        hash_func: Callable[..., bytes] = pickle_hashing,\n",
     "        hash_transform: Callable[..., bytes] | None = None,\n",
     "        reset_ops_id: bool = True,\n",
-    "        device : int = None,\n",
+    "        device: int = None,\n",
     "        **kwargs: Any,\n",
     "    ) -> None:\n",
     "        super().__init__(\n",
     "            data=data,\n",
     "            transform=transform,\n",
     "            cache_dir=cache_dir,\n",
-    "            hash_func = hash_func,\n",
-    "            hash_transform = hash_transform,\n",
-    "            reset_ops_id = reset_ops_id,\n",
-    "            **kwargs\n",
-    "            )\n",
+    "            hash_func=hash_func,\n",
+    "            hash_transform=hash_transform,\n",
+    "            reset_ops_id=reset_ops_id,\n",
+    "            **kwargs,\n",
+    "        )\n",
     "        self.device = device\n",
     "        self.shape_dict = {}\n",
     "\n",
@@ -238,9 +238,7 @@
    "source": [
     "sample_url = \"https://github.com/Project-MONAI/MONAI-extra-test-data/releases\"\n",
     "sample_url += \"/download/0.8.1/totalSegmentator_mergedLabel_samples.zip\"\n",
-    "monai.apps.download_and_extract(\n",
-    "    sample_url, output_dir=root_dir, filepath=\"samples.zip\"\n",
-    ")\n",
+    "monai.apps.download_and_extract(sample_url, output_dir=root_dir, filepath=\"samples.zip\")\n",
     "\n",
     "base_name = os.path.join(root_dir, \"totalSegmentator_mergedLabel_samples\")\n",
     "input_data = []\n",
@@ -289,7 +287,12 @@
     "        mt.EnsureTypeD(keys=(\"image\", \"label\"), device=device),\n",
     "        mt.SpacingD(keys=(\"image\", \"label\"), pixdim=1.5),\n",
     "        mt.RandRotateD(\n",
-    "            keys=(\"image\", \"label\"), prob=1.0, range_x=0.1, range_y=0.1, range_z=0.3, mode=(\"bilinear\", \"nearest\"),\n",
+    "            keys=(\"image\", \"label\"),\n",
+    "            prob=1.0,\n",
+    "            range_x=0.1,\n",
+    "            range_y=0.1,\n",
+    "            range_z=0.3,\n",
+    "            mode=(\"bilinear\", \"nearest\"),\n",
     "        ),\n",
     "        mt.RandZoomD(keys=(\"image\", \"label\"), prob=1.0, min_zoom=0.8, max_zoom=1.2, mode=(\"trilinear\", \"nearest\")),\n",
     "        mt.ResizeWithPadOrCropD(keys=(\"image\", \"label\"), spatial_size=(200, 210, 220)),\n",