prompt-syntactic.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2024-03-11T02:22:56.822157Z",
     "start_time": "2024-03-11T02:09:44.662972Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-03-11:02:09:48,527 INFO     [__main__.py:209] Verbosity set to INFO\r\n",
      "2024-03-11:02:09:48,527 INFO     [__init__.py:358] lm_eval.tasks.initialize_tasks() is deprecated and no longer necessary. It will be removed in v0.4.2 release. TaskManager will instead be used.\r\n",
      "2024-03-11:02:09:50,692 WARNING  [__main__.py:221]  --limit SHOULD ONLY BE USED FOR TESTING.REAL METRICS SHOULD NOT BE COMPUTED USING LIMIT.\r\n",
      "2024-03-11:02:09:50,692 INFO     [__main__.py:226] Including path: ./probing_tasks_vt\r\n",
      "2024-03-11:02:09:50,692 INFO     [__init__.py:349] To still use tasks loaded from args.include_path,see an example of the new TaskManager API in https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/interface.md#external-library-usage\r\n",
      "2024-03-11:02:09:50,692 WARNING  [__main__.py:271] File already exists at /Users/vincent/Documents/GP-NLP/lm-eval-log/llama-2-13b-chat-biolama_ctd_test_prompt4_returnList. Results will be overwritten.\r\n",
      "2024-03-11:02:09:50,692 INFO     [__main__.py:285] Selected Tasks: ['biolama_ctd_test_prompt4_returnList']\r\n",
      "2024-03-11:02:09:50,692 INFO     [__main__.py:286] Loading selected tasks...\r\n",
      "2024-03-11:02:09:50,692 INFO     [evaluator.py:95] Setting random seed to 0\r\n",
      "2024-03-11:02:09:50,692 INFO     [evaluator.py:99] Setting numpy seed to 1234\r\n",
      "2024-03-11:02:09:50,692 INFO     [evaluator.py:103] Setting torch manual seed to 1234\r\n",
      "2024-03-11:02:09:50,694 WARNING  [evaluator.py:114] generation_kwargs specified through cli, these settings will update set parameters in yaml tasks. Ensure 'do_sample=True' for non-greedy decoding!\r\n",
      "2024-03-11:02:09:50,705 INFO     [huggingface.py:178] Using `accelerate launch` or `parallelize=True`, device 'mps' will be overridden when placing model.\r\n",
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      "Downloading shards:  27%|██████▏                | 4/15 [13:05<35:59, 196.33s/it]\r\n",
      "Traceback (most recent call last):\r\n",
      "  File \"<frozen runpy>\", line 198, in _run_module_as_main\r\n",
      "  File \"<frozen runpy>\", line 88, in _run_code\r\n",
      "  File \"/Users/vincent/Documents/GP-NLP/lm-evaluation-harness-vt/lm_eval/__main__.py\", line 362, in <module>\r\n",
      "    cli_evaluate()\r\n",
      "  File \"/Users/vincent/Documents/GP-NLP/lm-evaluation-harness-vt/lm_eval/__main__.py\", line 288, in cli_evaluate\r\n",
      "    results = evaluator.simple_evaluate(\r\n",
      "              ^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/Documents/GP-NLP/lm-evaluation-harness-vt/lm_eval/utils.py\", line 288, in _wrapper\r\n",
      "    return fn(*args, **kwargs)\r\n",
      "           ^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/Documents/GP-NLP/lm-evaluation-harness-vt/lm_eval/evaluator.py\", line 123, in simple_evaluate\r\n",
      "    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(\r\n",
      "         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/Documents/GP-NLP/lm-evaluation-harness-vt/lm_eval/api/model.py\", line 134, in create_from_arg_string\r\n",
      "    return cls(**args, **args2)\r\n",
      "           ^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/Documents/GP-NLP/lm-evaluation-harness-vt/lm_eval/models/huggingface.py\", line 200, in __init__\r\n",
      "    self._create_model(\r\n",
      "  File \"/Users/vincent/Documents/GP-NLP/lm-evaluation-harness-vt/lm_eval/models/huggingface.py\", line 515, in _create_model\r\n",
      "    self._model = self.AUTO_MODEL_CLASS.from_pretrained(\r\n",
      "                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/transformers/models/auto/auto_factory.py\", line 566, in from_pretrained\r\n",
      "    return model_class.from_pretrained(\r\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/transformers/modeling_utils.py\", line 3483, in from_pretrained\r\n",
      "    resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(\r\n",
      "                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/transformers/utils/hub.py\", line 1025, in get_checkpoint_shard_files\r\n",
      "    cached_filename = cached_file(\r\n",
      "                      ^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/transformers/utils/hub.py\", line 385, in cached_file\r\n",
      "    resolved_file = hf_hub_download(\r\n",
      "                    ^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py\", line 118, in _inner_fn\r\n",
      "    return fn(*args, **kwargs)\r\n",
      "           ^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/huggingface_hub/file_download.py\", line 1457, in hf_hub_download\r\n",
      "    http_get(\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/huggingface_hub/file_download.py\", line 524, in http_get\r\n",
      "    for chunk in r.iter_content(chunk_size=DOWNLOAD_CHUNK_SIZE):\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/requests/models.py\", line 816, in generate\r\n",
      "    yield from self.raw.stream(chunk_size, decode_content=True)\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/urllib3/response.py\", line 1043, in stream\r\n",
      "    data = self.read(amt=amt, decode_content=decode_content)\r\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/urllib3/response.py\", line 935, in read\r\n",
      "    data = self._raw_read(amt)\r\n",
      "           ^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/urllib3/response.py\", line 862, in _raw_read\r\n",
      "    data = self._fp_read(amt, read1=read1) if not fp_closed else b\"\"\r\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/site-packages/urllib3/response.py\", line 845, in _fp_read\r\n",
      "    return self._fp.read(amt) if amt is not None else self._fp.read()\r\n",
      "           ^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/http/client.py\", line 479, in read\r\n",
      "    s = self.fp.read(amt)\r\n",
      "        ^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/socket.py\", line 707, in readinto\r\n",
      "    return self._sock.recv_into(b)\r\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/ssl.py\", line 1253, in recv_into\r\n",
      "    return self.read(nbytes, buffer)\r\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "  File \"/Users/vincent/ResearchApps/miniconda3/envs/clinicalNLP/lib/python3.12/ssl.py\", line 1105, in read\r\n",
      "    return self._sslobj.read(len, buffer)\r\n",
      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\r\n",
      "KeyboardInterrupt\r\n"
     ]
    }
   ],
   "source": [
    "!python lm_eval \\\n",
    "        --model hf \\\n",
    "        --model_args pretrained=meta-llama/Llama-2-70b-chat-hf,parallelize=True \\\n",
    "        --tasks biolama_ctd_test_prompt4_returnList \\\n",
    "        --device mps \\\n",
    "        --batch_size 1 \\\n",
    "        --output_path /Users/vincent/Documents/GP-NLP/lm-eval-log/llama-2-13b-chat-biolama_ctd_test_prompt4_returnList \\\n",
    "        --include_path ./probing_tasks_vt \\\n",
    "        --log_samples\\\n",
    "        --limit 5 \\\n",
    "        --gen_kwargs temperature=0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-03-11:02:31:44,692 INFO     [__main__.py:209] Verbosity set to INFO\r\n",
      "2024-03-11:02:31:44,692 INFO     [__init__.py:358] lm_eval.tasks.initialize_tasks() is deprecated and no longer necessary. It will be removed in v0.4.2 release. TaskManager will instead be used.\r\n",
      "2024-03-11:02:31:46,757 WARNING  [__main__.py:221]  --limit SHOULD ONLY BE USED FOR TESTING.REAL METRICS SHOULD NOT BE COMPUTED USING LIMIT.\r\n",
      "2024-03-11:02:31:46,757 INFO     [__main__.py:226] Including path: ./probing_tasks_vt\r\n",
      "2024-03-11:02:31:46,757 INFO     [__init__.py:349] To still use tasks loaded from args.include_path,see an example of the new TaskManager API in https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/interface.md#external-library-usage\r\n",
      "2024-03-11:02:31:46,757 WARNING  [__main__.py:271] File already exists at /Users/vincent/Documents/GP-NLP/lm-eval-log/pythia-14m-biolama_ctd_test_prompt4_returnList. Results will be overwritten.\r\n",
      "2024-03-11:02:31:46,757 INFO     [__main__.py:285] Selected Tasks: ['biolama_ctd_test_prompt4_returnList']\r\n",
      "2024-03-11:02:31:46,757 INFO     [__main__.py:286] Loading selected tasks...\r\n",
      "2024-03-11:02:31:46,757 INFO     [evaluator.py:95] Setting random seed to 0\r\n",
      "2024-03-11:02:31:46,757 INFO     [evaluator.py:99] Setting numpy seed to 1234\r\n",
      "2024-03-11:02:31:46,757 INFO     [evaluator.py:103] Setting torch manual seed to 1234\r\n",
      "2024-03-11:02:31:46,758 WARNING  [evaluator.py:114] generation_kwargs specified through cli, these settings will update set parameters in yaml tasks. Ensure 'do_sample=True' for non-greedy decoding!\r\n",
      "2024-03-11:02:31:46,767 INFO     [huggingface.py:178] Using `accelerate launch` or `parallelize=True`, device 'mps' will be overridden when placing model.\r\n",
      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\r\n",
      "2024-03-11:02:31:47,650 INFO     [evaluator.py:150] get_task_dict has been updated to accept an optional argument, `task_manager`Read more here:https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/interface.md#external-library-usage\r\n",
      "2024-03-11:02:31:49,431 WARNING  [task.py:308] [Task: None] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.\r\n",
      "2024-03-11:02:31:49,431 WARNING  [task.py:308] [Task: None] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.\r\n",
      "2024-03-11:02:31:50,956 INFO     [task.py:361] Building contexts for None on rank 0...\r\n",
      "2024-03-11:02:31:50,961 INFO     [evaluator.py:369] Running generate_until requests\r\n",
      "100%|███████████████████████████████████████████| 50/50 [00:02<00:00, 20.70it/s]\r\n",
      "hf (pretrained=EleutherAI/pythia-14m,parallelize=True), gen_kwargs: (temperature=0), limit: 50.0, num_fewshot: None, batch_size: 1\r\n",
      "|               Tasks               |Version|Filter|n-shot| Metric |Value|   |Stderr|\r\n",
      "|-----------------------------------|------:|------|------|--------|----:|---|-----:|\r\n",
      "|biolama_ctd_test_prompt4_returnList|      0|none  |None  |topk_acc|    0|±  |     0|\r\n",
      "\r\n"
     ]
    }
   ],
   "source": [
    "!python lm_eval \\\n",
    "        --model hf \\\n",
    "        --model_args pretrained=EleutherAI/pythia-14m,parallelize=True \\\n",
    "        --tasks biolama_ctd_test_prompt4_returnList \\\n",
    "        --device mps \\\n",
    "        --batch_size 1 \\\n",
    "        --output_path /Users/vincent/Documents/GP-NLP/lm-eval-log/pythia-14m-biolama_ctd_test_prompt4_returnList \\\n",
    "        --include_path ./probing_tasks_vt \\\n",
    "        --log_samples\\\n",
    "        --limit 50 \\\n",
    "        --gen_kwargs temperature=0\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-11T02:31:54.053999Z",
     "start_time": "2024-03-11T02:31:41.257366Z"
    }
   },
   "id": "62602beaf1f626fb"
  },
  {
   "cell_type": "markdown",
   "source": [],
   "metadata": {
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   "id": "7a03862a1560cec5"
  },
  {
   "cell_type": "markdown",
   "source": [],
   "metadata": {
    "collapsed": false
   },
   "id": "5b8156b4d05098a8"
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-03-11:02:33:00,845 INFO     [__main__.py:209] Verbosity set to INFO\r\n",
      "2024-03-11:02:33:00,845 INFO     [__init__.py:358] lm_eval.tasks.initialize_tasks() is deprecated and no longer necessary. It will be removed in v0.4.2 release. TaskManager will instead be used.\r\n",
      "2024-03-11:02:33:02,898 WARNING  [__main__.py:221]  --limit SHOULD ONLY BE USED FOR TESTING.REAL METRICS SHOULD NOT BE COMPUTED USING LIMIT.\r\n",
      "2024-03-11:02:33:02,898 INFO     [__main__.py:226] Including path: ./probing_tasks_vt\r\n",
      "2024-03-11:02:33:02,898 INFO     [__init__.py:349] To still use tasks loaded from args.include_path,see an example of the new TaskManager API in https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/interface.md#external-library-usage\r\n",
      "2024-03-11:02:33:02,899 WARNING  [__main__.py:271] File already exists at /Users/vincent/Documents/GP-NLP/lm-eval-log/pythia-14m-biolama_ctd_test_prompt1. Results will be overwritten.\r\n",
      "2024-03-11:02:33:02,899 INFO     [__main__.py:285] Selected Tasks: ['biolama_ctd_test_prompt1']\r\n",
      "2024-03-11:02:33:02,899 INFO     [__main__.py:286] Loading selected tasks...\r\n",
      "2024-03-11:02:33:02,899 INFO     [evaluator.py:95] Setting random seed to 0\r\n",
      "2024-03-11:02:33:02,899 INFO     [evaluator.py:99] Setting numpy seed to 1234\r\n",
      "2024-03-11:02:33:02,899 INFO     [evaluator.py:103] Setting torch manual seed to 1234\r\n",
      "2024-03-11:02:33:02,900 WARNING  [evaluator.py:114] generation_kwargs specified through cli, these settings will update set parameters in yaml tasks. Ensure 'do_sample=True' for non-greedy decoding!\r\n",
      "2024-03-11:02:33:02,909 INFO     [huggingface.py:178] Using `accelerate launch` or `parallelize=True`, device 'mps' will be overridden when placing model.\r\n",
      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\r\n",
      "Using cache at True_rank0.db\r\n",
      "2024-03-11:02:33:03,713 INFO     [evaluator.py:150] get_task_dict has been updated to accept an optional argument, `task_manager`Read more here:https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/interface.md#external-library-usage\r\n",
      "2024-03-11:02:33:05,474 WARNING  [task.py:308] [Task: None] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.\r\n",
      "2024-03-11:02:33:05,474 WARNING  [task.py:308] [Task: None] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.\r\n",
      "2024-03-11:02:33:06,978 INFO     [task.py:361] Building contexts for None on rank 0...\r\n",
      "2024-03-11:02:33:06,978 INFO     [evaluator.py:369] Running generate_until requests\r\n",
      "2024-03-11:02:33:06,978 INFO     [model.py:203] Loading 'generate_until' responses from cache 'True_rank0.db' where possible...\r\n",
      "100%|███████████████████████████████████████████| 1/1 [00:00<00:00, 2933.08it/s]\r\n",
      "100%|█████████████████████████████████████████████| 1/1 [00:00<00:00,  2.62it/s]\r\n",
      "Invalid JSON encountered.\r\n",
      "topk_dicts:  {'top_1': '', 'top_2': '', 'top_3': '', 'top_4': '', 'top_5': ''}\r\n",
      "hf (pretrained=EleutherAI/pythia-14m,parallelize=True), gen_kwargs: (temperature=0), limit: 1.0, num_fewshot: None, batch_size: 1\r\n",
      "|         Tasks          |Version|Filter|n-shot| Metric |Value|   |Stderr|\r\n",
      "|------------------------|------:|------|------|--------|----:|---|------|\r\n",
      "|biolama_ctd_test_prompt1|      0|none  |None  |topk_acc|    0|±  |N/A   |\r\n",
      "\r\n"
     ]
    }
   ],
   "source": [
    "!python lm_eval \\\n",
    "        --model hf \\\n",
    "        --model_args pretrained=EleutherAI/pythia-14m,parallelize=True \\\n",
    "        --tasks biolama_ctd_test_prompt1 \\\n",
    "        --device mps \\\n",
    "        --batch_size 1 \\\n",
    "        --output_path /Users/vincent/Documents/GP-NLP/lm-eval-log/pythia-14m-biolama_ctd_test_prompt1 \\\n",
    "        --include_path ./probing_tasks_vt \\\n",
    "        --log_samples\\\n",
    "        --limit 1 \\\n",
    "        --use_cache True \\\n",
    "        --gen_kwargs temperature=0\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-11T02:33:08.036873Z",
     "start_time": "2024-03-11T02:32:57.727179Z"
    }
   },
   "id": "792c1c1e6c90c27"
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['cancer', ' diabetes', ' heart-disease', ' stroke', ' obesity']\n"
     ]
    }
   ],
   "source": [
    "def parse_string(input_string):\n",
    "    # Remove leading string ending with \"such as\"\n",
    "    input_string = input_string.split(\"such as\", 1)[-1].strip()\n",
    "\n",
    "    # Remove the string \".\"\n",
    "    input_string = input_string.replace(\".\", \"\")\n",
    "\n",
    "    # Convert the string \"and\" to \";\"\n",
    "    input_string = input_string.replace(\" and \", \";\")\n",
    "\n",
    "    # Remove tailing string \"\n",
    "    if input_string.endswith('\"'):\n",
    "        input_string = input_string[:-1]\n",
    "\n",
    "    # Split the string into a list\n",
    "    result_list = input_string.split(\";\")\n",
    "\n",
    "    return result_list\n",
    "\n",
    "# Example usage\n",
    "input_str = \"\\nExample: \\\"Proxigermanium prevents diseases such as cancer; diabetes; heart-disease; stroke; obesity.\\\"\"\n",
    "output_list = parse_string(input_str)\n",
    "print(output_list)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-03-11T16:14:35.415252Z",
     "start_time": "2024-03-11T16:14:35.406811Z"
    }
   },
   "id": "7acb51d071174a5a"
  },
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   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
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   "id": "8f43a60338ceb988"
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   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
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   "id": "28845bdda1afcb46"
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  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
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   "id": "67f2970ffdf695a6"
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  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
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   "metadata": {
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   "id": "2850983c0652f90"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
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   "id": "e6c708c948fc60f9"
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