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‎tutorials/digraph2simplicial/weighted_clique_lifting.ipynb

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@@ -9,18 +9,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The autoreload extension is already loaded. To reload it, use:\n",
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" %reload_ext autoreload\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import sys\n",
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"\n",
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"Dataset configuration for Ethereum:\n",
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"\n",
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"{'data_domain': 'graph',\n",
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" 'data_type': 'Transactions',\n",
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" 'data_name': 'EthereumTokenNetwork',\n",
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" 'data_dir': 'datasets/Transactions/EthereumTokenNetwork',\n",
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" 'num_features': 1,\n",
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" 'num_classes': 5,\n",
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" 'task': 'classification',\n",
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" 'loss_type': 'cross_entropy',\n",
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" 'task_level': 'graph',\n",
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" 'percentile': 0.9}\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"dataset_name = \"Ethereum\"\n",
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"dataset_config = load_dataset_config(dataset_name)\n",
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"print(dataset_config)\n",
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"loader = GraphLoader(dataset_config)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"Dataset only contains 1 sample:\n",
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" - Graph with 47052 vertices and 79722 edges.\n",
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" - Features dimensions: [1, 0]\n",
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" - There are 32686 isolated nodes.\n",
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"\n",
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"Data(x=[79722], edge_index=[2, 79722], features=[47052], num_nodes=47052, num_edges=79722)\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"dataset = loader.load()\n",
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"describe_data(dataset, 1)"
@@ -108,25 +64,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"Transform configuration for digraph2simplicial/weighted_clique_lifting:\n",
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"\n",
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"{'transform_type': 'lifting',\n",
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" 'transform_name': 'WeightedSimplicialCliqueLifting',\n",
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" 'complex_dim': 3,\n",
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" 'preserve_edge_attr': True,\n",
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" 'signed': True,\n",
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" 'feature_lifting': 'ProjectionSum'}\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"# Define transformation type and id\n",
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"transform_type = \"liftings\"\n",
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"ename": "NameError",
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"evalue": "name 'percentile' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[9], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m lifted_dataset \u001b[38;5;241m=\u001b[39m \u001b[43mPreProcessor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdataset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtransform_config\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mloader\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata_dir\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2\u001b[0m describe_data(lifted_dataset)\n",
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"File \u001b[0;32m/mnt/c/Users/ronan/Downloads/GitHub/challenge-icml-2024/modules/data/preprocess/preprocessor.py:31\u001b[0m, in \u001b[0;36mPreProcessor.__init__\u001b[0;34m(self, data_list, transforms_config, data_dir, **kwargs)\u001b[0m\n\u001b[1;32m 29\u001b[0m data_list \u001b[38;5;241m=\u001b[39m [data_list]\n\u001b[1;32m 30\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata_list \u001b[38;5;241m=\u001b[39m data_list\n\u001b[0;32m---> 31\u001b[0m pre_transform \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minstantiate_pre_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata_dir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtransforms_config\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 32\u001b[0m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprocessed_data_dir, \u001b[38;5;28;01mNone\u001b[39;00m, pre_transform, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 33\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msave_transform_parameters()\n",
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"File \u001b[0;32m/mnt/c/Users/ronan/Downloads/GitHub/challenge-icml-2024/modules/data/preprocess/preprocessor.py:75\u001b[0m, in \u001b[0;36mPreProcessor.instantiate_pre_transform\u001b[0;34m(self, data_dir, transforms_config)\u001b[0m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minstantiate_pre_transform\u001b[39m(\n\u001b[1;32m 59\u001b[0m \u001b[38;5;28mself\u001b[39m, data_dir, transforms_config\n\u001b[1;32m 60\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m torch_geometric\u001b[38;5;241m.\u001b[39mtransforms\u001b[38;5;241m.\u001b[39mCompose:\n\u001b[1;32m 61\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"Instantiate the pre-transforms.\u001b[39;00m\n\u001b[1;32m 62\u001b[0m \n\u001b[1;32m 63\u001b[0m \u001b[38;5;124;03m Parameters\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;124;03m Pre-transform object.\u001b[39;00m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m---> 75\u001b[0m pre_transforms_dict \u001b[38;5;241m=\u001b[39m \u001b[43m{\u001b[49m\n\u001b[1;32m 76\u001b[0m \u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mDataTransform\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mtransforms_config\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 77\u001b[0m \u001b[43m \u001b[49m\u001b[43m}\u001b[49m\n\u001b[1;32m 78\u001b[0m pre_transforms \u001b[38;5;241m=\u001b[39m torch_geometric\u001b[38;5;241m.\u001b[39mtransforms\u001b[38;5;241m.\u001b[39mCompose(\n\u001b[1;32m 79\u001b[0m \u001b[38;5;28mlist\u001b[39m(pre_transforms_dict\u001b[38;5;241m.\u001b[39mvalues())\n\u001b[1;32m 80\u001b[0m )\n\u001b[1;32m 81\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_processed_data_dir(pre_transforms_dict, data_dir, transforms_config)\n",
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"File \u001b[0;32m/mnt/c/Users/ronan/Downloads/GitHub/challenge-icml-2024/modules/data/preprocess/preprocessor.py:76\u001b[0m, in \u001b[0;36m<dictcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minstantiate_pre_transform\u001b[39m(\n\u001b[1;32m 59\u001b[0m \u001b[38;5;28mself\u001b[39m, data_dir, transforms_config\n\u001b[1;32m 60\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m torch_geometric\u001b[38;5;241m.\u001b[39mtransforms\u001b[38;5;241m.\u001b[39mCompose:\n\u001b[1;32m 61\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"Instantiate the pre-transforms.\u001b[39;00m\n\u001b[1;32m 62\u001b[0m \n\u001b[1;32m 63\u001b[0m \u001b[38;5;124;03m Parameters\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;124;03m Pre-transform object.\u001b[39;00m\n\u001b[1;32m 74\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m 75\u001b[0m pre_transforms_dict \u001b[38;5;241m=\u001b[39m {\n\u001b[0;32m---> 76\u001b[0m key: \u001b[43mDataTransform\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mvalue\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m key, value \u001b[38;5;129;01min\u001b[39;00m transforms_config\u001b[38;5;241m.\u001b[39mitems()\n\u001b[1;32m 77\u001b[0m }\n\u001b[1;32m 78\u001b[0m pre_transforms \u001b[38;5;241m=\u001b[39m torch_geometric\u001b[38;5;241m.\u001b[39mtransforms\u001b[38;5;241m.\u001b[39mCompose(\n\u001b[1;32m 79\u001b[0m \u001b[38;5;28mlist\u001b[39m(pre_transforms_dict\u001b[38;5;241m.\u001b[39mvalues())\n\u001b[1;32m 80\u001b[0m )\n\u001b[1;32m 81\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_processed_data_dir(pre_transforms_dict, data_dir, transforms_config)\n",
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"File \u001b[0;32m/mnt/c/Users/ronan/Downloads/GitHub/challenge-icml-2024/modules/transforms/data_transform.py:60\u001b[0m, in \u001b[0;36mDataTransform.__init__\u001b[0;34m(self, transform_name, **kwargs)\u001b[0m\n\u001b[1;32m 56\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtransform_name\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m transform_name\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameters \u001b[38;5;241m=\u001b[39m kwargs\n\u001b[1;32m 59\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtransform \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m---> 60\u001b[0m \u001b[43mTRANSFORMS\u001b[49m\u001b[43m[\u001b[49m\u001b[43mtransform_name\u001b[49m\u001b[43m]\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m transform_name \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 61\u001b[0m )\n",
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"File \u001b[0;32m/mnt/c/Users/ronan/Downloads/GitHub/challenge-icml-2024/modules/transforms/liftings/digraph2simplicial/weighted_clique_lifting.py:15\u001b[0m, in \u001b[0;36mWeightedCliqueLifting.__init__\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 14\u001b[0m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m---> 15\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpercentile \u001b[38;5;241m=\u001b[39m \u001b[43mpercentile\u001b[49m\n",
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"\u001b[0;31mNameError\u001b[0m: name 'percentile' is not defined"
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]
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}
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],
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"outputs": [],
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"source": [
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"lifted_dataset = PreProcessor(dataset, transform_config, loader.data_dir)\n",
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"describe_data(lifted_dataset)"

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