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notebooks/cld-visualize.ipynb

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@@ -930,21 +930,9 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "python3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.13"
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}
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},
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"nbformat": 4,

notebooks/debug-cld-processing.ipynb

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@@ -1294,7 +1294,7 @@
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" elif self.split == \"val\":\n",
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" self.parquet_files = self.parquet_files[split_index:]\n",
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" print(split_index)\n",
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" \n",
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"\n",
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" if self.shuffle_files:\n",
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" self.shuffle_shards()\n",
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"\n",
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" \"calo_hit_features\": calo_hit_features,\n",
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" }\n",
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"\n",
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"\n",
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"# Create the dataset and dataloader\n",
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"dataset = CLDHits(parquet_file_path, \"train\")\n",
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"# dataloader = DataLoader(dataset, batch_size=32, shuffle=True)\n",
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "python3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.13"
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}
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},
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"nbformat": 4,

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