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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'create_repo' is not defined",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mNameError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m repo_id = \u001b[33m\"\u001b[39m\u001b[33meunJ/codebert_vulnerability_detector_multi\u001b[39m\u001b[33m\"\u001b[39m \u001b[38;5;66;03m# ๋ฐ๊ฟ์ฃผ์ธ์\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m \u001b[43mcreate_repo\u001b[49m(repo_id, repo_type=\u001b[33m\"\u001b[39m\u001b[33mmodel\u001b[39m\u001b[33m\"\u001b[39m, exist_ok=\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
"\u001b[31mNameError\u001b[39m: name 'create_repo' is not defined"
]
}
],
"source": [
"repo_id = \"eunJ/codebert_vulnerability_detector_multi\" # ๋ฐ๊ฟ์ฃผ์ธ์\n",
"create_repo(repo_id, repo_type=\"model\", exist_ok=True)\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/data/eun/anaconda3/envs/xcodevul/lib/python3.13/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"\n",
"from huggingface_hub import create_repo, upload_folder\n",
"import os"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"CommitInfo(commit_url='https://huggingface.co/eunJ/codebert_vulnerability_detector_multi/commit/71f5c4ac3fbe8a56ff25c7bd1c69825246eb264f', commit_message='Initial commit: upload all files in current directory', commit_description='', oid='71f5c4ac3fbe8a56ff25c7bd1c69825246eb264f', pr_url=None, repo_url=RepoUrl('https://huggingface.co/eunJ/codebert_vulnerability_detector_multi', endpoint='https://huggingface.co', repo_type='model', repo_id='eunJ/codebert_vulnerability_detector_multi'), pr_revision=None, pr_num=None)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"local_dir = \".\" # ํ์ฌ ๋๋ ํ ๋ฆฌ ์ ์ฒด\n",
"\n",
"# ํด๋ ์ ์ฒด ์
๋ก๋\n",
"upload_folder(\n",
" folder_path=local_dir,\n",
" repo_id=repo_id,\n",
" repo_type=\"model\",\n",
" commit_message=\"Initial commit: upload all files in current directory\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Some weights of the model checkpoint at eunJ/codebert_vulnerability_detector_multi were not used when initializing RobertaForSequenceClassification: ['classifier.bias', 'classifier.weight', 'encoder.classifier.dense.bias', 'encoder.classifier.dense.weight', 'encoder.classifier.out_proj.bias', 'encoder.classifier.out_proj.weight', 'encoder.roberta.embeddings.LayerNorm.bias', 'encoder.roberta.embeddings.LayerNorm.weight', 'encoder.roberta.embeddings.position_embeddings.weight', 'encoder.roberta.embeddings.token_type_embeddings.weight', 'encoder.roberta.embeddings.word_embeddings.weight', 'encoder.roberta.encoder.layer.0.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.0.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.0.attention.output.dense.bias', 'encoder.roberta.encoder.layer.0.attention.output.dense.weight', 'encoder.roberta.encoder.layer.0.attention.self.key.bias', 'encoder.roberta.encoder.layer.0.attention.self.key.weight', 'encoder.roberta.encoder.layer.0.attention.self.query.bias', 'encoder.roberta.encoder.layer.0.attention.self.query.weight', 'encoder.roberta.encoder.layer.0.attention.self.value.bias', 'encoder.roberta.encoder.layer.0.attention.self.value.weight', 'encoder.roberta.encoder.layer.0.intermediate.dense.bias', 'encoder.roberta.encoder.layer.0.intermediate.dense.weight', 'encoder.roberta.encoder.layer.0.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.0.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.0.output.dense.bias', 'encoder.roberta.encoder.layer.0.output.dense.weight', 'encoder.roberta.encoder.layer.1.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.1.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.1.attention.output.dense.bias', 'encoder.roberta.encoder.layer.1.attention.output.dense.weight', 'encoder.roberta.encoder.layer.1.attention.self.key.bias', 'encoder.roberta.encoder.layer.1.attention.self.key.weight', 'encoder.roberta.encoder.layer.1.attention.self.query.bias', 'encoder.roberta.encoder.layer.1.attention.self.query.weight', 'encoder.roberta.encoder.layer.1.attention.self.value.bias', 'encoder.roberta.encoder.layer.1.attention.self.value.weight', 'encoder.roberta.encoder.layer.1.intermediate.dense.bias', 'encoder.roberta.encoder.layer.1.intermediate.dense.weight', 'encoder.roberta.encoder.layer.1.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.1.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.1.output.dense.bias', 'encoder.roberta.encoder.layer.1.output.dense.weight', 'encoder.roberta.encoder.layer.10.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.10.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.10.attention.output.dense.bias', 'encoder.roberta.encoder.layer.10.attention.output.dense.weight', 'encoder.roberta.encoder.layer.10.attention.self.key.bias', 'encoder.roberta.encoder.layer.10.attention.self.key.weight', 'encoder.roberta.encoder.layer.10.attention.self.query.bias', 'encoder.roberta.encoder.layer.10.attention.self.query.weight', 'encoder.roberta.encoder.layer.10.attention.self.value.bias', 'encoder.roberta.encoder.layer.10.attention.self.value.weight', 'encoder.roberta.encoder.layer.10.intermediate.dense.bias', 'encoder.roberta.encoder.layer.10.intermediate.dense.weight', 'encoder.roberta.encoder.layer.10.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.10.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.10.output.dense.bias', 'encoder.roberta.encoder.layer.10.output.dense.weight', 'encoder.roberta.encoder.layer.11.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.11.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.11.attention.output.dense.bias', 'encoder.roberta.encoder.layer.11.attention.output.dense.weight', 'encoder.roberta.encoder.layer.11.attention.self.key.bias', 'encoder.roberta.encoder.layer.11.attention.self.key.weight', 'encoder.roberta.encoder.layer.11.attention.self.query.bias', 'encoder.roberta.encoder.layer.11.attention.self.query.weight', 'encoder.roberta.encoder.layer.11.attention.self.value.bias', 'encoder.roberta.encoder.layer.11.attention.self.value.weight', 'encoder.roberta.encoder.layer.11.intermediate.dense.bias', 'encoder.roberta.encoder.layer.11.intermediate.dense.weight', 'encoder.roberta.encoder.layer.11.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.11.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.11.output.dense.bias', 'encoder.roberta.encoder.layer.11.output.dense.weight', 'encoder.roberta.encoder.layer.2.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.2.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.2.attention.output.dense.bias', 'encoder.roberta.encoder.layer.2.attention.output.dense.weight', 'encoder.roberta.encoder.layer.2.attention.self.key.bias', 'encoder.roberta.encoder.layer.2.attention.self.key.weight', 'encoder.roberta.encoder.layer.2.attention.self.query.bias', 'encoder.roberta.encoder.layer.2.attention.self.query.weight', 'encoder.roberta.encoder.layer.2.attention.self.value.bias', 'encoder.roberta.encoder.layer.2.attention.self.value.weight', 'encoder.roberta.encoder.layer.2.intermediate.dense.bias', 'encoder.roberta.encoder.layer.2.intermediate.dense.weight', 'encoder.roberta.encoder.layer.2.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.2.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.2.output.dense.bias', 'encoder.roberta.encoder.layer.2.output.dense.weight', 'encoder.roberta.encoder.layer.3.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.3.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.3.attention.output.dense.bias', 'encoder.roberta.encoder.layer.3.attention.output.dense.weight', 'encoder.roberta.encoder.layer.3.attention.self.key.bias', 'encoder.roberta.encoder.layer.3.attention.self.key.weight', 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'encoder.roberta.encoder.layer.6.attention.self.query.bias', 'encoder.roberta.encoder.layer.6.attention.self.query.weight', 'encoder.roberta.encoder.layer.6.attention.self.value.bias', 'encoder.roberta.encoder.layer.6.attention.self.value.weight', 'encoder.roberta.encoder.layer.6.intermediate.dense.bias', 'encoder.roberta.encoder.layer.6.intermediate.dense.weight', 'encoder.roberta.encoder.layer.6.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.6.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.6.output.dense.bias', 'encoder.roberta.encoder.layer.6.output.dense.weight', 'encoder.roberta.encoder.layer.7.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.7.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.7.attention.output.dense.bias', 'encoder.roberta.encoder.layer.7.attention.output.dense.weight', 'encoder.roberta.encoder.layer.7.attention.self.key.bias', 'encoder.roberta.encoder.layer.7.attention.self.key.weight', 'encoder.roberta.encoder.layer.7.attention.self.query.bias', 'encoder.roberta.encoder.layer.7.attention.self.query.weight', 'encoder.roberta.encoder.layer.7.attention.self.value.bias', 'encoder.roberta.encoder.layer.7.attention.self.value.weight', 'encoder.roberta.encoder.layer.7.intermediate.dense.bias', 'encoder.roberta.encoder.layer.7.intermediate.dense.weight', 'encoder.roberta.encoder.layer.7.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.7.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.7.output.dense.bias', 'encoder.roberta.encoder.layer.7.output.dense.weight', 'encoder.roberta.encoder.layer.8.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.8.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.8.attention.output.dense.bias', 'encoder.roberta.encoder.layer.8.attention.output.dense.weight', 'encoder.roberta.encoder.layer.8.attention.self.key.bias', 'encoder.roberta.encoder.layer.8.attention.self.key.weight', 'encoder.roberta.encoder.layer.8.attention.self.query.bias', 'encoder.roberta.encoder.layer.8.attention.self.query.weight', 'encoder.roberta.encoder.layer.8.attention.self.value.bias', 'encoder.roberta.encoder.layer.8.attention.self.value.weight', 'encoder.roberta.encoder.layer.8.intermediate.dense.bias', 'encoder.roberta.encoder.layer.8.intermediate.dense.weight', 'encoder.roberta.encoder.layer.8.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.8.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.8.output.dense.bias', 'encoder.roberta.encoder.layer.8.output.dense.weight', 'encoder.roberta.encoder.layer.9.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.9.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.9.attention.output.dense.bias', 'encoder.roberta.encoder.layer.9.attention.output.dense.weight', 'encoder.roberta.encoder.layer.9.attention.self.key.bias', 'encoder.roberta.encoder.layer.9.attention.self.key.weight', 'encoder.roberta.encoder.layer.9.attention.self.query.bias', 'encoder.roberta.encoder.layer.9.attention.self.query.weight', 'encoder.roberta.encoder.layer.9.attention.self.value.bias', 'encoder.roberta.encoder.layer.9.attention.self.value.weight', 'encoder.roberta.encoder.layer.9.intermediate.dense.bias', 'encoder.roberta.encoder.layer.9.intermediate.dense.weight', 'encoder.roberta.encoder.layer.9.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.9.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.9.output.dense.bias', 'encoder.roberta.encoder.layer.9.output.dense.weight']\n",
"- This IS expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
"- This IS NOT expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
"Some weights of RobertaForSequenceClassification were not initialized from the model checkpoint at eunJ/codebert_vulnerability_detector_multi and are newly initialized: ['classifier.dense.bias', 'classifier.dense.weight', 'classifier.out_proj.bias', 'classifier.out_proj.weight', 'embeddings.LayerNorm.bias', 'embeddings.LayerNorm.weight', 'embeddings.position_embeddings.weight', 'embeddings.token_type_embeddings.weight', 'embeddings.word_embeddings.weight', 'encoder.layer.0.attention.output.LayerNorm.bias', 'encoder.layer.0.attention.output.LayerNorm.weight', 'encoder.layer.0.attention.output.dense.bias', 'encoder.layer.0.attention.output.dense.weight', 'encoder.layer.0.attention.self.key.bias', 'encoder.layer.0.attention.self.key.weight', 'encoder.layer.0.attention.self.query.bias', 'encoder.layer.0.attention.self.query.weight', 'encoder.layer.0.attention.self.value.bias', 'encoder.layer.0.attention.self.value.weight', 'encoder.layer.0.intermediate.dense.bias', 'encoder.layer.0.intermediate.dense.weight', 'encoder.layer.0.output.LayerNorm.bias', 'encoder.layer.0.output.LayerNorm.weight', 'encoder.layer.0.output.dense.bias', 'encoder.layer.0.output.dense.weight', 'encoder.layer.1.attention.output.LayerNorm.bias', 'encoder.layer.1.attention.output.LayerNorm.weight', 'encoder.layer.1.attention.output.dense.bias', 'encoder.layer.1.attention.output.dense.weight', 'encoder.layer.1.attention.self.key.bias', 'encoder.layer.1.attention.self.key.weight', 'encoder.layer.1.attention.self.query.bias', 'encoder.layer.1.attention.self.query.weight', 'encoder.layer.1.attention.self.value.bias', 'encoder.layer.1.attention.self.value.weight', 'encoder.layer.1.intermediate.dense.bias', 'encoder.layer.1.intermediate.dense.weight', 'encoder.layer.1.output.LayerNorm.bias', 'encoder.layer.1.output.LayerNorm.weight', 'encoder.layer.1.output.dense.bias', 'encoder.layer.1.output.dense.weight', 'encoder.layer.10.attention.output.LayerNorm.bias', 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'encoder.layer.2.intermediate.dense.weight', 'encoder.layer.2.output.LayerNorm.bias', 'encoder.layer.2.output.LayerNorm.weight', 'encoder.layer.2.output.dense.bias', 'encoder.layer.2.output.dense.weight', 'encoder.layer.3.attention.output.LayerNorm.bias', 'encoder.layer.3.attention.output.LayerNorm.weight', 'encoder.layer.3.attention.output.dense.bias', 'encoder.layer.3.attention.output.dense.weight', 'encoder.layer.3.attention.self.key.bias', 'encoder.layer.3.attention.self.key.weight', 'encoder.layer.3.attention.self.query.bias', 'encoder.layer.3.attention.self.query.weight', 'encoder.layer.3.attention.self.value.bias', 'encoder.layer.3.attention.self.value.weight', 'encoder.layer.3.intermediate.dense.bias', 'encoder.layer.3.intermediate.dense.weight', 'encoder.layer.3.output.LayerNorm.bias', 'encoder.layer.3.output.LayerNorm.weight', 'encoder.layer.3.output.dense.bias', 'encoder.layer.3.output.dense.weight', 'encoder.layer.4.attention.output.LayerNorm.bias', 'encoder.layer.4.attention.output.LayerNorm.weight', 'encoder.layer.4.attention.output.dense.bias', 'encoder.layer.4.attention.output.dense.weight', 'encoder.layer.4.attention.self.key.bias', 'encoder.layer.4.attention.self.key.weight', 'encoder.layer.4.attention.self.query.bias', 'encoder.layer.4.attention.self.query.weight', 'encoder.layer.4.attention.self.value.bias', 'encoder.layer.4.attention.self.value.weight', 'encoder.layer.4.intermediate.dense.bias', 'encoder.layer.4.intermediate.dense.weight', 'encoder.layer.4.output.LayerNorm.bias', 'encoder.layer.4.output.LayerNorm.weight', 'encoder.layer.4.output.dense.bias', 'encoder.layer.4.output.dense.weight', 'encoder.layer.5.attention.output.LayerNorm.bias', 'encoder.layer.5.attention.output.LayerNorm.weight', 'encoder.layer.5.attention.output.dense.bias', 'encoder.layer.5.attention.output.dense.weight', 'encoder.layer.5.attention.self.key.bias', 'encoder.layer.5.attention.self.key.weight', 'encoder.layer.5.attention.self.query.bias', 'encoder.layer.5.attention.self.query.weight', 'encoder.layer.5.attention.self.value.bias', 'encoder.layer.5.attention.self.value.weight', 'encoder.layer.5.intermediate.dense.bias', 'encoder.layer.5.intermediate.dense.weight', 'encoder.layer.5.output.LayerNorm.bias', 'encoder.layer.5.output.LayerNorm.weight', 'encoder.layer.5.output.dense.bias', 'encoder.layer.5.output.dense.weight', 'encoder.layer.6.attention.output.LayerNorm.bias', 'encoder.layer.6.attention.output.LayerNorm.weight', 'encoder.layer.6.attention.output.dense.bias', 'encoder.layer.6.attention.output.dense.weight', 'encoder.layer.6.attention.self.key.bias', 'encoder.layer.6.attention.self.key.weight', 'encoder.layer.6.attention.self.query.bias', 'encoder.layer.6.attention.self.query.weight', 'encoder.layer.6.attention.self.value.bias', 'encoder.layer.6.attention.self.value.weight', 'encoder.layer.6.intermediate.dense.bias', 'encoder.layer.6.intermediate.dense.weight', 'encoder.layer.6.output.LayerNorm.bias', 'encoder.layer.6.output.LayerNorm.weight', 'encoder.layer.6.output.dense.bias', 'encoder.layer.6.output.dense.weight', 'encoder.layer.7.attention.output.LayerNorm.bias', 'encoder.layer.7.attention.output.LayerNorm.weight', 'encoder.layer.7.attention.output.dense.bias', 'encoder.layer.7.attention.output.dense.weight', 'encoder.layer.7.attention.self.key.bias', 'encoder.layer.7.attention.self.key.weight', 'encoder.layer.7.attention.self.query.bias', 'encoder.layer.7.attention.self.query.weight', 'encoder.layer.7.attention.self.value.bias', 'encoder.layer.7.attention.self.value.weight', 'encoder.layer.7.intermediate.dense.bias', 'encoder.layer.7.intermediate.dense.weight', 'encoder.layer.7.output.LayerNorm.bias', 'encoder.layer.7.output.LayerNorm.weight', 'encoder.layer.7.output.dense.bias', 'encoder.layer.7.output.dense.weight', 'encoder.layer.8.attention.output.LayerNorm.bias', 'encoder.layer.8.attention.output.LayerNorm.weight', 'encoder.layer.8.attention.output.dense.bias', 'encoder.layer.8.attention.output.dense.weight', 'encoder.layer.8.attention.self.key.bias', 'encoder.layer.8.attention.self.key.weight', 'encoder.layer.8.attention.self.query.bias', 'encoder.layer.8.attention.self.query.weight', 'encoder.layer.8.attention.self.value.bias', 'encoder.layer.8.attention.self.value.weight', 'encoder.layer.8.intermediate.dense.bias', 'encoder.layer.8.intermediate.dense.weight', 'encoder.layer.8.output.LayerNorm.bias', 'encoder.layer.8.output.LayerNorm.weight', 'encoder.layer.8.output.dense.bias', 'encoder.layer.8.output.dense.weight', 'encoder.layer.9.attention.output.LayerNorm.bias', 'encoder.layer.9.attention.output.LayerNorm.weight', 'encoder.layer.9.attention.output.dense.bias', 'encoder.layer.9.attention.output.dense.weight', 'encoder.layer.9.attention.self.key.bias', 'encoder.layer.9.attention.self.key.weight', 'encoder.layer.9.attention.self.query.bias', 'encoder.layer.9.attention.self.query.weight', 'encoder.layer.9.attention.self.value.bias', 'encoder.layer.9.attention.self.value.weight', 'encoder.layer.9.intermediate.dense.bias', 'encoder.layer.9.intermediate.dense.weight', 'encoder.layer.9.output.LayerNorm.bias', 'encoder.layer.9.output.LayerNorm.weight', 'encoder.layer.9.output.dense.bias', 'encoder.layer.9.output.dense.weight']\n",
"You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
]
}
],
"source": [
"# Load model directly\n",
"from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
"\n",
"tokenizer = AutoTokenizer.from_pretrained(\"eunJ/codebert_vulnerability_detector_multi\")\n",
"model = AutoModelForSequenceClassification.from_pretrained(\"eunJ/codebert_vulnerability_detector_multi\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "xcodevul",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.5"
}
},
"nbformat": 4,
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