profile.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5073ae0a-f2d7-4f9e-95c1-3353fef4304d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import warnings\n",
    "import spacy\n",
    "from optimized_anchor import anchor_text, anchor_base\n",
    "import pickle\n",
    "import myUtils\n",
    "from myUtils import *\n",
    "from models.utils import *\n",
    "from models.dataset_loader import *\n",
    "import datetime\n",
    "import time\n",
    "import argparse\n",
    "import os\n",
    "import sys\n",
    "sys.path.append('models')\n",
    "# when apply torchscript to models sometimes\n",
    "#torch._C._jit_set_texpr_fuser_enabled(False)\n",
    "\n",
    "warnings.simplefilter(\"ignore\")\n",
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "model_name = 'huawei-noah/TinyBERT_General_4L_312D'\n",
    "%load_ext line_profiler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2444c8e5-2a8b-4797-9248-46565487f5a2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# can be sentiment/spam/dilemma\n",
    "dataset_name = 'corona'\n",
    "ds = get_ds(dataset_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6358237f-3408-43ff-b1c7-b0c880396138",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Filter:   0%|          | 0/12542 [00:00<?, ? examples/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "anchor_examples, _  = preprocess_examples(ds, 200)\n",
    "f_name = f'results/mp/deberta/corona/confidence/42/desired-0.1' \n",
    "anchor_examples = pickle.load(open(f\"{f_name}/anchor_examples.pickle\", \"rb\" ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1da1181f-98b5-4f15-9896-d4a99cf231be",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "nlp = spacy.load('en_core_web_sm')\n",
    "tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast = False)\n",
    "myUtils.tokenizer = tokenizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "50cb3bc3-5a28-49a4-af65-914fd963edb0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ignored = get_ignored(anchor_examples)\n",
    "normal_occurences = get_occurences(anchor_examples)\n",
    "bg = BestGroup('check', normal_occurences, filter_anchors = False, desired_optimize = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35f52d42-f62d-4dab-a6a4-2c2e458b7433",
   "metadata": {
    "tags": []
   },
   "source": [
    "## notice!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ec7977c8-6e39-4b91-94f0-3a934abc63f6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ignored = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "394f9ff0-3607-42f2-bf10-7ac2f8c8cf62",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'everyone handleing the covid 19 outbreak: â\\x95 stock up on food â\\x95 stook up on supplies â\\x95 panic!! â\\x95 buying 25 packets of toilet rolls then there is my best mate  : â\\x91ninja training day 3â\\x92'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anchor_examples[5348]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "09e3b250-34e7-4232-afdb-76f1c3ee2221",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "examples = anchor_examples[5348:5349]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "042a3661-59b9-4f72-b84b-8d640ab46247",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mon Jun 19 16:41:56 2023       \n",
      "+-----------------------------------------------------------------------------+\n",
      "| NVIDIA-SMI 510.54       Driver Version: 510.54       CUDA Version: 11.6     |\n",
      "|-------------------------------+----------------------+----------------------+\n",
      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
      "|                               |                      |               MIG M. |\n",
      "|===============================+======================+======================|\n",
      "|   0  Quadro RTX 6000     Off  | 00000000:AF:00.0 Off |                  Off |\n",
      "| 33%   44C    P2    66W / 260W |   2207MiB / 24576MiB |      0%      Default |\n",
      "|                               |                      |                  N/A |\n",
      "+-------------------------------+----------------------+----------------------+\n",
      "                                                                               \n",
      "+-----------------------------------------------------------------------------+\n",
      "| Processes:                                                                  |\n",
      "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
      "|        ID   ID                                                   Usage      |\n",
      "|=============================================================================|\n",
      "|    0   N/A  N/A      2766      G   /usr/lib/xorg/Xorg                  4MiB |\n",
      "|    0   N/A  N/A   3343375      C   python                           2199MiB |\n",
      "+-----------------------------------------------------------------------------+\n"
     ]
    }
   ],
   "source": [
    "!nvidia-smi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c976b285-caee-439e-870d-a43850a4551c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "optimize = True\n",
    "anchor_text.AnchorText.set_optimize(optimize)\n",
    "explainer = anchor_text.AnchorText(nlp, ['positive', 'negative'], use_unk_distribution=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "beffd1f6-fc2a-467b-b7fb-1c7eb2980739",
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenized = explainer.tg.bert_tokenizer([\"i [MASK] to [MASK] party yesterday\"], \n",
    "          add_special_tokens=True, return_tensors=\"pt\", padding=True)[\"input_ids\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f25c2a0-428e-412b-b0f5-97a7e03294ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenized_seperate = [explainer.tg.bert_tokenizer.encode(\"i went to a party yesterday\", \n",
    "          add_special_tokens=True) for _ in range(100)]\n",
    "tokenized_seperate = [torch.tensor([t], device=device) for t in tokenized_seperate]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e4647f8f-15db-489d-89f4-0dc8a34f73ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
     ]
    }
   ],
   "source": [
    "model = load_model(f'models/deberta/{dataset_name}/model').to(device).eval()\n",
    "tokenizer = AutoTokenizer.from_pretrained('microsoft/deberta-v3-small', \n",
    "                                          use_fast = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d13ac6a5-37a6-42e9-915d-148ff3ea9075",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number 0\n",
      "{'feature': [35], 'mean': [1.0], 'precision': [1.0], 'coverage': [0.0], 'examples': [], 'all_precision': 0, 'num_preds': 100001}\n",
      "['best']\n",
      "[1.0]\n"
     ]
    }
   ],
   "source": [
    "torch._C._jit_set_texpr_fuser_enabled(False)\n",
    "my_utils = TextUtils(examples, explainer, predict_sentences, ignored, optimize=optimize)\n",
    "myUtils.model = model\n",
    "myUtils.tokenizer = tokenizer\n",
    "anchor_base.AnchorBaseBeam.best_group = bg\n",
    "set_seed()\n",
    "# %prun -s cumtime -T check/profile.txt my_utils.compute_explanations(list(range(len(examples))))\n",
    "exps = my_utils.compute_explanations(list(range(len(examples))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "037b41b0-113f-45c0-a6df-1978add1cfc4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['everyone',\n",
       " 'handle',\n",
       " 'the',\n",
       " 'co',\n",
       " ':',\n",
       " '[UNK]',\n",
       " 'stock',\n",
       " 'up',\n",
       " 'on',\n",
       " 'food',\n",
       " '[UNK]',\n",
       " 'on',\n",
       " 'supplies',\n",
       " '[UNK]',\n",
       " '!',\n",
       " '!',\n",
       " '25',\n",
       " 'packets',\n",
       " 'of',\n",
       " 'rolls',\n",
       " 'then',\n",
       " 'there',\n",
       " 'is',\n",
       " 'my',\n",
       " 'best',\n",
       " 'mate',\n",
       " ':',\n",
       " '[UNK]',\n",
       " 'training',\n",
       " 'day',\n",
       " '[UNK]']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[e.names[0] for e in exps]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "2fce0d50",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number 0\n",
      "number 1\n",
      "[0.9807692307692307]\n",
      "[0.9669421487603306]\n",
      "number 2\n",
      "[0.971830985915493]\n",
      "number 3\n",
      "number 4\n",
      "number 5\n",
      "[0.9702970297029703]\n",
      "number 6\n",
      "number 7\n",
      "number 8\n",
      "number 9\n",
      "[0.9669421487603306]\n",
      "[0.971830985915493]\n",
      "number 10\n",
      "[1.0]\n",
      "[0.9590643274853801]\n",
      "[0.9803921568627451]\n",
      "number 11\n",
      "number 12\n",
      "[0.967741935483871]\n",
      "number 13\n",
      "[0.9645390070921985]\n",
      "number 14\n",
      "[1.0]\n",
      "[0.9803921568627451]\n",
      "number 15\n",
      "number 16\n",
      "number 17\n",
      "[1.0]\n",
      "number 18\n",
      "[1.0]\n",
      "[1.0]\n",
      "number 19\n",
      "number 20\n",
      "[1.0]\n",
      "number 21\n",
      "[1.0]\n",
      "number 22\n",
      "number 23\n",
      "number 24\n",
      "number 25\n",
      "[1.0]\n",
      "number 26\n",
      "[1.0]\n",
      "[1.0]\n",
      "number 27\n",
      "number 28\n",
      " \n",
      "*** Profile printout saved to text file 'check/profile.txt'.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "         63160161 function calls (62897111 primitive calls) in 65.819 seconds\n",
       "\n",
       "   Ordered by: cumulative time\n",
       "\n",
       "   ncalls  tottime  percall  cumtime  percall filename:lineno(function)\n",
       "      3/1    0.000    0.000   65.852   65.852 {built-in method builtins.exec}\n",
       "        1    0.000    0.000   65.852   65.852 <string>:1(<module>)\n",
       "        1    0.000    0.000   65.852   65.852 myUtils.py:274(compute_explanations)\n",
       "       29    1.858    0.064   65.849    2.271 myUtils.py:271(get_exp)\n",
       "       29    0.002    0.000   63.992    2.207 anchor_text.py:269(explain_instance)\n",
       "       29    0.021    0.001   61.053    2.105 anchor_base.py:255(anchor_beam)\n",
       "     2489    0.264    0.000   60.807    0.024 anchor_text.py:225(sample_fn)\n",
       "     2409    0.003    0.000   60.037    0.025 anchor_base.py:217(<lambda>)\n",
       "     2409    0.079    0.000   60.034    0.025 anchor_base.py:186(complete_sample_fn)\n",
       "     2489    0.380    0.000   37.103    0.015 anchor_text.py:118(sample)\n",
       "     3395    0.066    0.000   26.299    0.008 anchor_text.py:153(probs)\n",
       "     2489    0.033    0.000   21.915    0.009 myUtils.py:27(predict_sentences)\n",
       "     3389    5.484    0.002   20.307    0.006 anchor_text.py:47(unmask)\n",
       "    20554    0.102    0.000   14.647    0.001 tokenization_utils.py:481(tokenize)\n",
       "     2489    0.018    0.000   14.619    0.006 myUtils.py:28(<listcomp>)\n",
       "    21031    0.222    0.000   13.220    0.001 tokenization_bert.py:241(_tokenize)\n",
       "217443/5878    6.622    0.000   12.893    0.002 module.py:1494(_call_impl)\n",
       "    20525    0.448    0.000   12.403    0.001 anchor_text.py:139(<listcomp>)\n",
       "   563729   10.353    0.000   11.890    0.000 {method 'choice' of 'numpy.random._generator.Generator' objects}\n",
       "    21031    0.299    0.000    9.972    0.000 tokenization_bert.py:398(tokenize)\n",
       "     2489    0.022    0.000    6.656    0.003 modeling_bert.py:1533(forward)\n",
       "     2489    0.078    0.000    6.535    0.003 modeling_bert.py:912(forward)\n",
       "    19490    6.486    0.000    6.486    0.000 {method 'tolist' of 'torch._C._TensorBase' objects}\n",
       "    19490    0.524    0.000    5.921    0.000 anchor_text.py:166(<listcomp>)\n",
       "     2489    0.040    0.000    5.595    0.002 modeling_bert.py:561(forward)\n",
       "     9956    0.049    0.000    5.518    0.001 modeling_bert.py:483(forward)\n",
       "   524907    2.570    0.000    5.081    0.000 anchor_text.py:24(exp_normalize)\n",
       "    21031    1.483    0.000    4.001    0.000 tokenization_bert.py:505(_clean_text)\n",
       "   366313    1.359    0.000    3.863    0.000 tokenization_bert.py:446(_run_split_on_punc)\n",
       "     9956    0.042    0.000    3.532    0.000 modeling_bert.py:415(forward)\n",
       "       29    0.002    0.000    3.091    0.107 anchor_base.py:71(lucb)\n",
       "       29    0.006    0.000    2.936    0.101 anchor_text.py:215(get_sample_fn)\n",
       "   416283    2.141    0.000    2.819    0.000 tokenization_bert.py:527(tokenize)\n",
       "     9956    0.448    0.000    2.661    0.000 modeling_bert.py:274(forward)\n",
       "       29    0.061    0.002    2.512    0.087 anchor_text.py:91(__init__)\n",
       "   524907    2.510    0.000    2.510    0.000 serialize.py:29(_numba_unpickle)\n",
       "     9956    0.041    0.000    1.889    0.000 pytorch_utils.py:164(apply_chunking_to_forward)\n",
       "    21031    0.890    0.000    1.661    0.000 tokenization_bert.py:468(_tokenize_chinese_chars)\n",
       "  1956152    1.120    0.000    1.657    0.000 tokenization_utils.py:292(_is_punctuation)\n",
       "    64714    0.104    0.000    1.533    0.000 linear.py:113(forward)\n",
       "  2301830    0.926    0.000    1.399    0.000 tokenization_utils.py:280(_is_control)\n",
       "    64714    1.389    0.000    1.389    0.000 {built-in method torch._C._nn.linear}\n",
       "     9956    0.029    0.000    1.267    0.000 modeling_bert.py:548(feed_forward_chunk)\n",
       "    19490    1.231    0.000    1.231    0.000 {built-in method torch.topk}\n",
       "     2460    0.013    0.000    1.110    0.000 anchor_text.py:262(<listcomp>)\n",
       "    20496    0.145    0.000    1.097    0.000 tokenization_utils.py:921(_decode)\n",
       "    20554    0.873    0.000    1.036    0.000 tokenization_utils.py:90(split)\n",
       "   563729    0.367    0.000    0.886    0.000 numerictypes.py:356(issubdtype)\n",
       "  2301816    0.631    0.000    0.778    0.000 tokenization_utils.py:268(_is_whitespace)\n",
       "    20496    0.267    0.000    0.750    0.000 tokenization_utils.py:883(convert_ids_to_tokens)\n",
       "    19912    0.739    0.000    0.739    0.000 {built-in method torch.matmul}\n",
       "     9956    0.142    0.000    0.731    0.000 modeling_bert.py:383(forward)\n",
       "     9956    0.137    0.000    0.688    0.000 modeling_bert.py:461(forward)\n",
       "  9768201    0.654    0.000    0.654    0.000 {method 'append' of 'list' objects}\n",
       "  1127458    0.540    0.000    0.651    0.000 getlimits.py:458(__new__)\n",
       "2204764/2204734    0.648    0.000    0.650    0.000 {method 'join' of 'str' objects}\n",
       "     9964    0.012    0.000    0.575    0.000 inspect.py:3251(signature)\n",
       "     9964    0.013    0.000    0.563    0.000 inspect.py:2997(from_callable)\n",
       "   366313    0.485    0.000    0.556    0.000 tokenization_bert.py:466(<listcomp>)\n",
       "19920/9964    0.094    0.000    0.550    0.000 inspect.py:2374(_signature_from_callable)\n",
       "  4206593    0.523    0.000    0.523    0.000 {method 'startswith' of 'str' objects}\n",
       "  6161324    0.505    0.000    0.505    0.000 {built-in method unicodedata.category}\n",
       "  2297615    0.498    0.000    0.498    0.000 tokenization_bert.py:481(_is_chinese_char)\n",
       "     9956    0.042    0.000    0.494    0.000 modeling_bert.py:448(forward)\n",
       "  1127458    0.329    0.000    0.484    0.000 numerictypes.py:282(issubclass_)\n",
       "     8367    0.474    0.000    0.474    0.000 {built-in method torch.tensor}\n",
       "    22401    0.048    0.000    0.464    0.000 normalization.py:189(forward)\n",
       "    21979    0.457    0.000    0.457    0.000 {method 'cpu' of 'torch._C._TensorBase' objects}\n",
       "   695357    0.244    0.000    0.434    0.000 tokenization_distilbert.py:217(_convert_id_to_token)\n",
       "    22401    0.050    0.000    0.402    0.000 functional.py:2500(layer_norm)\n",
       "  6559798    0.400    0.000    0.400    0.000 {built-in method builtins.ord}\n",
       "    20496    0.391    0.000    0.391    0.000 anchor_text.py:260(<listcomp>)\n",
       "    41643    0.130    0.000    0.370    0.000 tokenization_utils_base.py:1277(all_special_tokens_extended)\n",
       "     2489    0.087    0.000    0.360    0.000 modeling_bert.py:200(forward)\n",
       "   458345    0.196    0.000    0.349    0.000 tokenization_bert.py:128(whitespace_tokenize)\n",
       "5303106/5303034    0.329    0.000    0.329    0.000 {built-in method builtins.len}\n",
       "    22401    0.326    0.000    0.326    0.000 {built-in method torch.layer_norm}\n",
       "     9964    0.091    0.000    0.321    0.000 inspect.py:2279(_signature_from_function)\n",
       "        1    0.000    0.000    0.316    0.316 dispatcher.py:388(_compile_for_args)\n",
       "        1    0.000    0.000    0.316    0.316 dispatcher.py:915(compile)\n",
       "        1    0.000    0.000    0.305    0.305 dispatcher.py:124(compile)\n",
       "        1    0.000    0.000    0.305    0.305 dispatcher.py:131(_compile_cached)\n",
       "        1    0.000    0.000    0.305    0.305 dispatcher.py:146(_compile_core)\n",
       "        1    0.000    0.000    0.305    0.305 compiler.py:690(compile_extra)\n",
       "      3/1    0.000    0.000    0.304    0.304 compiler.py:446(compile_extra)\n",
       "      3/1    0.000    0.000    0.304    0.304 compiler.py:515(_compile_bytecode)\n",
       "      3/1    0.000    0.000    0.304    0.304 compiler.py:469(_compile_core)\n",
       "      3/1    0.000    0.000    0.303    0.303 compiler_machinery.py:342(run)\n",
       "    75/25    0.000    0.000    0.303    0.012 compiler_lock.py:32(_acquire_compile_lock)\n",
       "    75/25    0.002    0.000    0.303    0.012 compiler_machinery.py:268(_runPass)\n",
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       "        2    0.000    0.000    0.001    0.001 types.py:33(_get_ll_pointer_type)\n",
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       "        3    0.000    0.000    0.001    0.000 pythonapi.py:1345(serialize_uncached)\n",
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       "     1219    0.001    0.000    0.001    0.000 event.py:265(on_start)\n",
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       "       14    0.000    0.000    0.001    0.000 typed_passes.py:661(_do_work_expr)\n",
       "        4    0.000    0.000    0.001    0.000 models.py:611(as_argument)\n",
       "      290    0.000    0.000    0.001    0.000 numpy_ops.pyx:303(hash)\n",
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       "       78    0.000    0.000    0.001    0.000 compiler_lock.py:22(__exit__)\n",
       "       21    0.000    0.000    0.001    0.000 typeof.py:32(typeof)\n",
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       "      290    0.001    0.000    0.001    0.000 numpy_ops.pyx:164(maxout)\n",
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       "      100    0.000    0.000    0.001    0.000 instructions.py:177(__init__)\n",
       "       50    0.000    0.000    0.001    0.000 cgutils.py:158(__setattr__)\n",
       "      103    0.000    0.000    0.001    0.000 instructions.py:435(descr)\n",
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       "        3    0.000    0.000    0.001    0.000 ir.py:1528(dump)\n",
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       "        2    0.000    0.000    0.001    0.000 callwrapper.py:38(cleanup_arg)\n",
       "       27    0.000    0.000    0.001    0.000 postproc.py:45(livemap)\n",
       "       29    0.001    0.000    0.001    0.000 anchor_text.py:101(<listcomp>)\n",
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       "       39    0.000    0.000    0.001    0.000 passmanagers.py:269(initialize)\n",
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       "        3    0.000    0.000    0.001    0.000 inline_closurecall.py:1356(_inline_const_arraycall)\n",
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       "        1    0.000    0.000    0.001    0.001 inspect.py:1120(getsourcelines)\n",
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       "        3    0.000    0.000    0.000    0.000 transforms.py:361(with_lifting)\n",
       "    76/37    0.000    0.000    0.000    0.000 packer.py:175(rec)\n",
       "     1364    0.000    0.000    0.000    0.000 abstract.py:95(key)\n",
       "      116    0.000    0.000    0.000    0.000 __init__.py:131(get_current_ops)\n",
       "      413    0.000    0.000    0.000    0.000 ffi.py:295(detach)\n",
       "       19    0.000    0.000    0.000    0.000 numbers.py:1331(constant_integer)\n",
       "       15    0.000    0.000    0.000    0.000 context.py:415(_load_builtins)\n",
       "        1    0.000    0.000    0.000    0.000 numbers.py:597(real_div_impl)\n",
       "     1369    0.000    0.000    0.000    0.000 builder.py:195(block)\n",
       "       12    0.000    0.000    0.000    0.000 copy.py:66(copy)\n",
       "      188    0.000    0.000    0.000    0.000 errors.py:803(new_error_context)\n",
       "       42    0.000    0.000    0.000    0.000 numpy_support.py:387(choose_types)\n",
       "       15    0.000    0.000    0.000    0.000 pprint.py:235(_pprint_list)\n",
       "        3    0.000    0.000    0.000    0.000 untyped_passes.py:284(run_pass)\n",
       "      150    0.000    0.000    0.000    0.000 controlflow.py:381(_dfs)\n",
       "      100    0.000    0.000    0.000    0.000 values.py:1155(_format_name)\n",
       "     1183    0.000    0.000    0.000    0.000 values.py:554(_get_name)\n",
       "        3    0.000    0.000    0.000    0.000 packer.py:109(<listcomp>)\n",
       "      225    0.000    0.000    0.000    0.000 compiler_machinery.py:28(__exit__)\n",
       "        6    0.000    0.000    0.000    0.000 arrayobj.py:58(make_array)\n",
       "  454/250    0.000    0.000    0.000    0.000 packer.py:144(rec)\n",
       "        5    0.000    0.000    0.000    0.000 __init__.py:48(create_string_buffer)\n",
       "        6    0.000    0.000    0.000    0.000 passmanagers.py:45(dump_refprune_stats)\n",
       "       33    0.000    0.000    0.000    0.000 models.py:101(<listcomp>)\n",
       "        1    0.000    0.000    0.000    0.000 models.py:614(from_argument)\n",
       "        6    0.000    0.000    0.000    0.000 functions.py:353(__init__)\n",
       "        4    0.000    0.000    0.000    0.000 arrayobj.py:50(mark_positive)\n",
       "       29    0.000    0.000    0.000    0.000 errors.py:6(__getattribute__)\n",
       "       96    0.000    0.000    0.000    0.000 base.py:375(_insert_getattr_defn)\n",
       "        3    0.000    0.000    0.000    0.000 transforms.py:522(find_setupwiths)\n",
       "        2    0.000    0.000    0.000    0.000 npyimpl.py:95(update_indices)\n",
       "       21    0.000    0.000    0.000    0.000 anchor_base.py:232(get_anchor_from_tuple)\n",
       "        7    0.000    0.000    0.000    0.000 textwrap.py:422(dedent)\n",
       "       29    0.000    0.000    0.000    0.000 threading.py:1169(is_alive)\n",
       "        4    0.000    0.000    0.000    0.000 npyimpl.py:139(_load_effective_address)\n",
       "        6    0.000    0.000    0.000    0.000 {built-in method io.open}\n",
       "       60    0.000    0.000    0.000    0.000 ir_utils.py:2191(<listcomp>)\n",
       "       38    0.000    0.000    0.000    0.000 warnings.py:165(simplefilter)\n",
       "       96    0.000    0.000    0.000    0.000 base.py:379(_insert_setattr_defn)\n",
       "       96    0.000    0.000    0.000    0.000 base.py:387(_insert_get_constant_defn)\n",
       "        8    0.000    0.000    0.000    0.000 module.py:124(name)\n",
       "      300    0.000    0.000    0.000    0.000 compiler_machinery.py:429(is_registered)\n",
       "        3    0.000    0.000    0.000    0.000 compiler.py:576(define_nopython_lowering_pipeline)\n",
       "       16    0.000    0.000    0.000    0.000 base.py:48(_find)\n",
       "        2    0.000    0.000    0.000    0.000 ast.py:197(fix_missing_locations)\n",
       "        9    0.000    0.000    0.000    0.000 interpreter.py:1995(op_LOAD_FAST)\n",
       "        3    0.000    0.000    0.000    0.000 interpreter.py:496(peep_hole_call_function_ex_to_call_function_kw)\n",
       "       22    0.000    0.000    0.000    0.000 instructions.py:202(__init__)\n",
       "        6    0.000    0.000    0.000    0.000 linecache.py:36(getlines)\n",
       "       15    0.000    0.000    0.000    0.000 pprint.py:412(_format_items)\n",
       "      396    0.000    0.000    0.000    0.000 ffi.py:278(__init__)\n",
       "       10    0.000    0.000    0.000    0.000 module.py:215(_get_metadata_lines)\n",
       "     1415    0.000    0.000    0.000    0.000 {built-in method numpy.asanyarray}\n",
       "       96    0.000    0.000    0.000    0.000 base.py:383(_insert_cast_defn)\n",
       "     27/2    0.000    0.000    0.000    0.000 ast.py:205(_fix)\n",
       "       78    0.000    0.000    0.000    0.000 re.py:288(_compile)\n",
       "        2    0.000    0.000    0.000    0.000 cgutils.py:864(if_zero)\n",
       "        4    0.000    0.000    0.000    0.000 arrayobj.py:39(set_range_metadata)\n",
       "       16    0.000    0.000    0.000    0.000 typeinfer.py:508(fold_arg_vars)\n",
       "        4    0.000    0.000    0.000    0.000 cgutils.py:736(get_item_pointer2)\n",
       "        3    0.000    0.000    0.000    0.000 npyimpl.py:381(<listcomp>)\n",
       "       51    0.000    0.000    0.000    0.000 shape_base.py:81(atleast_2d)\n",
       "      435    0.000    0.000    0.000    0.000 {method 'swapaxes' of 'numpy.ndarray' objects}\n",
       "       29    0.000    0.000    0.000    0.000 tok2vec.py:128(set_annotations)\n",
       "        1    0.000    0.000    0.000    0.000 pythonapi.py:262(unpack_tuple)\n",
       "        8    0.000    0.000    0.000    0.000 lowering.py:1529(_lit_or_omitted)\n",
       "       12    0.000    0.000    0.000    0.000 models.py:708(traverse)\n",
       "       29    0.000    0.000    0.000    0.000 tagger.pyx:149(_scores2guesses)\n",
       "        6    0.000    0.000    0.000    0.000 itanium_mangler.py:163(mangle_args)\n",
       "        1    0.000    0.000    0.000    0.000 linecache.py:80(updatecache)\n",
       "        2    0.000    0.000    0.000    0.000 {built-in method posix.replace}\n",
       "      843    0.000    0.000    0.000    0.000 lookups.py:220(get_table)\n",
       "       20    0.000    0.000    0.000    0.000 cffi_utils.py:39(is_cffi_func)\n",
       "      243    0.000    0.000    0.000    0.000 common.py:9(_decode_string)\n",
       "        2    0.000    0.000    0.000    0.000 npyimpl.py:128(create_iter_indices)\n",
       "       39    0.000    0.000    0.000    0.000 values.py:1104(__str__)\n",
       "     1222    0.000    0.000    0.000    0.000 {method 'release' of '_thread.RLock' objects}\n",
       "        1    0.000    0.000    0.000    0.000 array_exprs.py:191(apply)\n",
       "      300    0.000    0.000    0.000    0.000 values.py:860(__init__)\n",
       "        3    0.000    0.000    0.000    0.000 compiler.py:593(define_typed_pipeline)\n",
       "       58    0.000    0.000    0.000    0.000 util.py:1127(get_cuda_stream)\n",
       "        6    0.000    0.000    0.000    0.000 itanium_mangler.py:167(<listcomp>)\n",
       "       81    0.000    0.000    0.000    0.000 pprint.py:107(__init__)\n",
       "      129    0.000    0.000    0.000    0.000 context.py:250(_get_attribute_templates)\n",
       "       10    0.000    0.000    0.000    0.000 cgutils.py:682(unpack_tuple)\n",
       "        5    0.000    0.000    0.000    0.000 cloudpickle_fast.py:600(__init__)\n",
       "      631    0.000    0.000    0.000    0.000 {built-in method numpy.core._multiarray_umath.normalize_axis_index}\n",
       "        9    0.000    0.000    0.000    0.000 npytypes.py:426(__init__)\n",
       "       10    0.000    0.000    0.000    0.000 module.py:237(_dispose)\n",
       "        3    0.000    0.000    0.000    0.000 transforms.py:527(find_ranges)\n",
       "        1    0.000    0.000    0.000    0.000 options.py:30(parse_as_flags)\n",
       "        4    0.000    0.000    0.000    0.000 context.py:342(resolve_module_constants)\n",
       "        4    0.000    0.000    0.000    0.000 {built-in method builtins.compile}\n",
       "      160    0.000    0.000    0.000    0.000 shape_base.py:207(_arrays_for_stack_dispatcher)\n",
       "      143    0.000    0.000    0.000    0.000 target_extension.py:120(inherits_from)\n",
       "        6    0.000    0.000    0.000    0.000 base.py:344(subtarget)\n",
       "        7    0.000    0.000    0.000    0.000 ir_utils.py:1566(find_callname)\n",
       "        5    0.000    0.000    0.000    0.000 removerefctpass.py:51(valid_input)\n",
       "        4    0.000    0.000    0.000    0.000 array_exprs.py:33(match)\n",
       "       36    0.000    0.000    0.000    0.000 ir.py:1140(redefine)\n",
       "      225    0.000    0.000    0.000    0.000 compiler_machinery.py:24(__enter__)\n",
       "    20/10    0.000    0.000    0.000    0.000 itanium_mangler.py:127(mangle_type_or_value)\n",
       "       96    0.000    0.000    0.000    0.000 builder.py:264(goto_block)\n",
       "       94    0.000    0.000    0.000    0.000 lowering.py:341(_disable_sroa_like_opt)\n",
       "        1    0.000    0.000    0.000    0.000 caching.py:103(ensure_cache_path)\n",
       "      203    0.000    0.000    0.000    0.000 util.py:96(is_numpy_array)\n",
       "       33    0.000    0.000    0.000    0.000 models.py:103(traverse_types)\n",
       "      151    0.000    0.000    0.000    0.000 {method 'match' of 're.Pattern' objects}\n",
       "       12    0.000    0.000    0.000    0.000 models.py:715(<listcomp>)\n",
       "  212/194    0.000    0.000    0.000    0.000 types.py:127(__eq__)\n",
       "       49    0.000    0.000    0.000    0.000 templates.py:183(signature)\n",
       "      348    0.000    0.000    0.000    0.000 numpy_ops.pyx:87(cblas)\n",
       "       59    0.000    0.000    0.000    0.000 target_extension.py:52(get_local_target)\n",
       "        3    0.000    0.000    0.000    0.000 compiler.py:378(_make_subtarget)\n",
       "        6    0.000    0.000    0.000    0.000 controlflow.py:261(backbone)\n",
       "      290    0.000    0.000    0.000    0.000 {method 'translate' of 'str' objects}\n",
       "       13    0.000    0.000    0.000    0.000 cgutils.py:44(make_bytearray)\n",
       "        2    0.000    0.000    0.000    0.000 npyimpl.py:153(store_data)\n",
       "        4    0.000    0.000    0.000    0.000 base.py:1001(make_array)\n",
       "        1    0.000    0.000    0.000    0.000 npyimpl.py:462(generate)\n",
       "     1624    0.000    0.000    0.000    0.000 stringsource:374(__dealloc__)\n",
       "       21    0.000    0.000    0.000    0.000 myUtils.py:213(update_anchor)\n",
       "        3    0.000    0.000    0.000    0.000 typed_passes.py:447(run_pass)\n",
       "      100    0.000    0.000    0.000    0.000 iostream.py:429(_is_master_process)\n",
       "        1    0.000    0.000    0.000    0.000 caching.py:481(load)\n",
       "     1392    0.000    0.000    0.000    0.000 stringsource:665(memoryview_check)\n",
       "        6    0.000    0.000    0.000    0.000 npydecl.py:160(<listcomp>)\n",
       "       10    0.000    0.000    0.000    0.000 cgutils.py:689(<listcomp>)\n",
       "       20    0.000    0.000    0.000    0.000 lowering.py:1416(storevar)\n",
       "        3    0.000    0.000    0.000    0.000 untyped_passes.py:140(run_pass)\n",
       "       19    0.000    0.000    0.000    0.000 values.py:31(_escape_string)\n",
       "      521    0.000    0.000    0.000    0.000 {method 'decode' of 'bytes' objects}\n",
       "        2    0.000    0.000    0.000    0.000 models.py:625(<listcomp>)\n",
       "        4    0.000    0.000    0.000    0.000 base.py:301(declare_env_global)\n",
       "        6    0.000    0.000    0.000    0.000 abc.py:105(__new__)\n",
       "       85    0.000    0.000    0.000    0.000 {method 'getvalue' of '_io.StringIO' objects}\n",
       "      202    0.000    0.000    0.000    0.000 types.py:116(__init__)\n",
       "        3    0.000    0.000    0.000    0.000 targetconfig.py:242(summary)\n",
       "       49    0.000    0.000    0.000    0.000 instructions.py:34(<listcomp>)\n",
       "      851    0.000    0.000    0.000    0.000 {method 'insert' of 'list' objects}\n",
       "       90    0.000    0.000    0.000    0.000 dataclasses.py:1210(is_dataclass)\n",
       "        2    0.000    0.000    0.000    0.000 npyimpl.py:148(load_data)\n",
       "       22    0.000    0.000    0.000    0.000 instructions.py:213(descr)\n",
       "       21    0.000    0.000    0.000    0.000 myUtils.py:255(__init__)\n",
       "        3    0.000    0.000    0.000    0.000 ssa.py:101(_iterated_domfronts)\n",
       "        2    0.000    0.000    0.000    0.000 cpu.py:43(create_module)\n",
       "        5    0.000    0.000    0.000    0.000 module.py:151(declare_intrinsic)\n",
       "        5    0.000    0.000    0.000    0.000 passmanagers.py:181(add_refprune_pass)\n",
       "      226    0.000    0.000    0.000    0.000 types.py:240(format_constant)\n",
       "       13    0.000    0.000    0.000    0.000 callconv.py:98(get_return_type)\n",
       "      222    0.000    0.000    0.000    0.000 abc.py:121(__subclasscheck__)\n",
       "        3    0.000    0.000    0.000    0.000 typed_passes.py:186(run_pass)\n",
       "       14    0.000    0.000    0.000    0.000 typeinfer.py:1647(typeof_expr)\n",
       "        8    0.000    0.000    0.000    0.000 pythonapi.py:374(get_c_object)\n",
       "        5    0.000    0.000    0.000    0.000 passmanagers.py:91(create_function_pass_manager)\n",
       "        3    0.000    0.000    0.000    0.000 lowering.py:156(emit_environment_object)\n",
       "      198    0.000    0.000    0.000    0.000 models.py:673(get_field_position)\n",
       "       29    0.000    0.000    0.000    0.000 _ufunc_config.py:434(__exit__)\n",
       "        4    0.000    0.000    0.000    0.000 models.py:482(from_data)\n",
       "       29    0.000    0.000    0.000    0.000 doc.pyx:104(values)\n",
       "       17    0.000    0.000    0.000    0.000 cloudpickle.py:175(_is_importable)\n",
       "      550    0.000    0.000    0.000    0.000 {method 'lstrip' of 'str' objects}\n",
       "        5    0.000    0.000    0.000    0.000 targets.py:268(add_analysis_passes)\n",
       "       33    0.000    0.000    0.000    0.000 bytecode.py:184(next)\n",
       "        7    0.000    0.000    0.000    0.000 value.py:151(linkage)\n",
       "        2    0.000    0.000    0.000    0.000 codegen.py:1313(_get_host_cpu_name)\n",
       "        3    0.000    0.000    0.000    0.000 interpreter.py:1441(_end_current_block)\n",
       "        3    0.000    0.000    0.000    0.000 targetconfig.py:272(_make_compression_dictionary)\n",
       "       54    0.000    0.000    0.000    0.000 analysis.py:81(def_reach)\n",
       "       38    0.000    0.000    0.000    0.000 warnings.py:181(_add_filter)\n",
       "        3    0.000    0.000    0.000    0.000 {built-in method _pickle.loads}\n",
       "       41    0.000    0.000    0.000    0.000 instructions.py:497(descr)\n",
       "       26    0.000    0.000    0.000    0.000 typeinfer.py:1180(check_var)\n",
       "        3    0.000    0.000    0.000    0.000 typed_passes.py:811(_strip_phi_nodes)\n",
       "       23    0.000    0.000    0.000    0.000 functions.py:305(<listcomp>)\n",
       "        3    0.000    0.000    0.000    0.000 targetconfig.py:257(_summary_args)\n",
       "       20    0.000    0.000    0.000    0.000 api.py:194(typeof)\n",
       "      153    0.000    0.000    0.000    0.000 cpu_options.py:58(encode)\n",
       "        3    0.000    0.000    0.000    0.000 controlflow.py:225(_post_doms)\n",
       "       24    0.000    0.000    0.000    0.000 posixpath.py:337(normpath)\n",
       "        2    0.000    0.000    0.000    0.000 module.py:151(triple)\n",
       "      137    0.000    0.000    0.000    0.000 misc.py:52(unliteral)\n",
       "       50    0.000    0.000    0.000    0.000 ffi.py:211(__init__)\n",
       "        5    0.000    0.000    0.000    0.000 passmanagers.py:263(__init__)\n",
       "       13    0.000    0.000    0.000    0.000 models.py:544(get_argument_type)\n",
       "        5    0.000    0.000    0.000    0.000 passmanagers.py:107(_dispose)\n",
       "       21    0.000    0.000    0.000    0.000 values.py:592(__init__)\n",
       "       58    0.000    0.000    0.000    0.000 util.py:484(partial)\n",
       "        5    0.000    0.000    0.000    0.000 module.py:79(get_function)\n",
       "       35    0.000    0.000    0.000    0.000 {method 'sort' of 'list' objects}\n",
       "        8    0.000    0.000    0.000    0.000 npyimpl.py:240(make_intp_const)\n",
       "      782    0.000    0.000    0.000    0.000 anchor_base.py:299(<lambda>)\n",
       "      258    0.000    0.000    0.000    0.000 os.py:759(decode)\n",
       "        3    0.000    0.000    0.000    0.000 controlflow.py:556(_find_post_dominators)\n",
       "       58    0.000    0.000    0.000    0.000 _ufunc_config.py:131(geterr)\n",
       "       20    0.000    0.000    0.000    0.000 numpy_support.py:327(numpy_outputs)\n",
       "       87    0.000    0.000    0.000    0.000 codecs.py:327(reset)\n",
       "       94    0.000    0.000    0.000    0.000 values.py:498(__eq__)\n",
       "      143    0.000    0.000    0.000    0.000 registry.py:95(__getitem__)\n",
       "       38    0.000    0.000    0.000    0.000 typeinfer.py:54(add_type)\n",
       "        8    0.000    0.000    0.000    0.000 base.py:746(get_c_value)\n",
       "       10    0.000    0.000    0.000    0.000 builder.py:629(select)\n",
       "        2    0.000    0.000    0.000    0.000 targets.py:80(get_host_cpu_name)\n",
       "        3    0.000    0.000    0.000    0.000 ir_utils.py:2006(raise_on_unsupported_feature)\n",
       "        3    0.000    0.000    0.000    0.000 environment.py:17(from_fndesc)\n",
       "       12    0.000    0.000    0.000    0.000 cloudpickle_fast.py:390(_class_reduce)\n",
       "       37    0.000    0.000    0.000    0.000 module.py:21(_fix_metadata_operands)\n",
       "        3    0.000    0.000    0.000    0.000 byteflow.py:164(_prune_phis)\n",
       "      287    0.000    0.000    0.000    0.000 npytypes.py:461(key)\n",
       "       12    0.000    0.000    0.000    0.000 itanium_mangler.py:103(mangle_abi_tag)\n",
       "        3    0.000    0.000    0.000    0.000 interpreter.py:1388(init_first_block)\n",
       "        1    0.000    0.000    0.000    0.000 dispatcher.py:724(typeof_pyval)\n",
       "       25    0.000    0.000    0.000    0.000 doc.pyx:1020(_realloc)\n",
       "       13    0.000    0.000    0.000    0.000 packer.py:132(argument_types)\n",
       "      179    0.000    0.000    0.000    0.000 builder.py:241(position_at_end)\n",
       "        2    0.000    0.000    0.000    0.000 pythonapi.py:305(raise_object)\n",
       "        1    0.000    0.000    0.000    0.000 pythonapi.py:857(gil_ensure)\n",
       "        3    0.000    0.000    0.000    0.000 interpreter.py:1508(_remove_unused_temporaries)\n",
       "        5    0.000    0.000    0.000    0.000 transforms.py:6(create_pass_manager_builder)\n",
       "       20    0.000    0.000    0.000    0.000 lowering.py:380(<listcomp>)\n",
       "       58    0.000    0.000    0.000    0.000 fromnumeric.py:1478(squeeze)\n",
       "        2    0.000    0.000    0.000    0.000 funcdesc.py:87(lookup_module)\n",
       "       42    0.000    0.000    0.000    0.000 context.py:455(_lookup_global)\n",
       "       98    0.000    0.000    0.000    0.000 ir.py:579(<genexpr>)\n",
       "       86    0.000    0.000    0.000    0.000 models.py:684(get_type)\n",
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       "        1    0.000    0.000    0.000    0.000 pythonapi.py:869(gil_release)\n",
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       "        1    0.000    0.000    0.000    0.000 pythonapi.py:233(decref)\n",
       "       10    0.000    0.000    0.000    0.000 typed_passes.py:663(select_template)\n",
       "       58    0.000    0.000    0.000    0.000 model.py:355(walk)\n",
       "       38    0.000    0.000    0.000    0.000 warnings.py:477(__exit__)\n",
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       "        4    0.000    0.000    0.000    0.000 byteflow.py:1060(_binaryop)\n",
       "       26    0.000    0.000    0.000    0.000 typeinfer.py:916(__setitem__)\n",
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       "        6    0.000    0.000    0.000    0.000 typeinfer.py:1106(copy_type)\n",
       "       58    0.000    0.000    0.000    0.000 list2ragged.py:25(<listcomp>)\n",
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       "       58    0.000    0.000    0.000    0.000 list2array.py:22(<listcomp>)\n",
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       "       13    0.000    0.000    0.000    0.000 cgutils.py:460(if_unlikely)\n",
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       "      150    0.000    0.000    0.000    0.000 compiler_machinery.py:280(debug_print)\n",
       "        3    0.000    0.000    0.000    0.000 controlflow.py:632(_find_topo_order)\n",
       "        2    0.000    0.000    0.000    0.000 interpreter.py:2499(op_BINARY_TRUE_DIVIDE)\n",
       "      802    0.000    0.000    0.000    0.000 trainable_pipe.pxd:5(__get__)\n",
       "      247    0.000    0.000    0.000    0.000 templates.py:50(args)\n",
       "        2    0.000    0.000    0.000    0.000 targets.py:150(get_pointee_abi_size)\n",
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       "        1    0.000    0.000    0.000    0.000 tempfile.py:612(opener)\n",
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       "        1    0.000    0.000    0.000    0.000 cgutils.py:919(pointer_add)\n",
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       "       89    0.000    0.000    0.000    0.000 enum.py:439(__getitem__)\n",
       "      321    0.000    0.000    0.000    0.000 ffi.py:304(_dispose)\n",
       "       14    0.000    0.000    0.000    0.000 context.py:13(__init__)\n",
       "        3    0.000    0.000    0.000    0.000 untyped_passes.py:1577(run_pass)\n",
       "        8    0.000    0.000    0.000    0.000 misc.py:90(__init__)\n",
       "        3    0.000    0.000    0.000    0.000 untyped_passes.py:1621(run_pass)\n",
       "        3    0.000    0.000    0.000    0.000 typeinfer.py:960(__init__)\n",
       "        3    0.000    0.000    0.000    0.000 untyped_passes.py:569(run_pass)\n",
       "        8    0.000    0.000    0.000    0.000 numpy_support.py:232(select_array_wrapper)\n",
       "       13    0.000    0.000    0.000    0.000 templates.py:98(__repr__)\n",
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       "       96    0.000    0.000    0.000    0.000 llvm_pass_timings.py:285(record)\n",
       "      116    0.000    0.000    0.000    0.000 {built-in method numpy.geterrobj}\n",
       "        2    0.000    0.000    0.000    0.000 uuid.py:718(uuid4)\n",
       "        2    0.000    0.000    0.000    0.000 transforms.py:10(visit_Function)\n",
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       "        4    0.000    0.000    0.000    0.000 copyreg.py:61(_reduce_ex)\n",
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       "        3    0.000    0.000    0.000    0.000 builder.py:989(phi)\n",
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       "        6    0.000    0.000    0.000    0.000 ffi.py:345(__hash__)\n",
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       "        3    0.000    0.000    0.000    0.000 byteflow.py:1181(op_LOAD_METHOD)\n",
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       "        3    0.000    0.000    0.000    0.000 compiler.py:292(compile_result)\n",
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       "       22    0.000    0.000    0.000    0.000 __init__.py:980(__getitem__)\n",
       "       90    0.000    0.000    0.000    0.000 ast.py:255(iter_fields)\n",
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       "        3    0.000    0.000    0.000    0.000 dis.py:434(findlabels)\n",
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       "        3    0.000    0.000    0.000    0.000 interpreter.py:751(peep_hole_list_to_tuple)\n",
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       "        3    0.000    0.000    0.000    0.000 byteflow.py:1489(adapt_state_infos)\n",
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       "        8    0.000    0.000    0.000    0.000 npyimpl.py:407(cast)\n",
       "       17    0.000    0.000    0.000    0.000 context.py:655(unify_pairs)\n",
       "      182    0.000    0.000    0.000    0.000 postproc.py:190(<genexpr>)\n",
       "        3    0.000    0.000    0.000    0.000 types.py:513(<listcomp>)\n",
       "       42    0.000    0.000    0.000    0.000 itanium_mangler.py:84(_fix_lead_digit)\n",
       "        6    0.000    0.000    0.000    0.000 controlflow.py:63(__eq__)\n",
       "        9    0.000    0.000    0.000    0.000 transforms.py:15(visit_BasicBlock)\n",
       "       21    0.000    0.000    0.000    0.000 templates.py:128(as_function)\n",
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       "       17    0.000    0.000    0.000    0.000 pickle.py:322(_getattribute)\n",
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       "        2    0.000    0.000    0.000    0.000 consts.py:47(_fail)\n",
       "       58    0.000    0.000    0.000    0.000 tokenization_distilbert.py:183(do_lower_case)\n",
       "        1    0.000    0.000    0.000    0.000 cgutils.py:450(is_null)\n",
       "       42    0.000    0.000    0.000    0.000 numpy_support.py:397(<listcomp>)\n",
       "        8    0.000    0.000    0.000    0.000 typeinfer.py:1009(_get_return_vars)\n",
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       "      145    0.000    0.000    0.000    0.000 fromnumeric.py:2493(_cumsum_dispatcher)\n",
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       "       27    0.000    0.000    0.000    0.000 byteflow.py:241(_is_implicit_new_block)\n",
       "       64    0.000    0.000    0.000    0.000 posixpath.py:41(_get_sep)\n",
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       "       21    0.000    0.000    0.000    0.000 types.py:451(_to_string)\n",
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       "        3    0.000    0.000    0.000    0.000 static_getitem.py:13(match)\n",
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       "        3    0.000    0.000    0.000    0.000 {method 'extend' of 'collections.deque' objects}\n",
       "        1    0.000    0.000    0.000    0.000 dispatcher.py:223(__enter__)\n",
       "        3    0.000    0.000    0.000    0.000 npyimpl.py:82(load_data)\n",
       "        1    0.000    0.000    0.000    0.000 templates.py:73(__getstate__)\n",
       "        3    0.000    0.000    0.000    0.000 byteflow.py:1464(<dictcomp>)\n",
       "        3    0.000    0.000    0.000    0.000 codegen.py:542(recorded_timings)\n",
       "        2    0.000    0.000    0.000    0.000 {method 'count' of 'list' objects}\n",
       "        1    0.000    0.000    0.000    0.000 {method 'splitlines' of 'str' objects}\n",
       "        3    0.000    0.000    0.000    0.000 ssa.py:224(on_other)\n",
       "        1    0.000    0.000    0.000    0.000 contextlib.py:335(__init__)\n",
       "        3    0.000    0.000    0.000    0.000 debuginfo.py:63(__init__)\n",
       "        3    0.000    0.000    0.000    0.000 byteflow.py:1477(infos)\n",
       "        3    0.000    0.000    0.000    0.000 imputils.py:443(impl_ret_untracked)\n",
       "        6    0.000    0.000    0.000    0.000 typeinfer.py:1749(propagate_started)\n",
       "        1    0.000    0.000    0.000    0.000 base.py:36(__init__)\n",
       "        1    0.000    0.000    0.000    0.000 codegen.py:625(_get_compiled_object)\n",
       "        1    0.000    0.000    0.000    0.000 tokenize.py:614(generate_tokens)\n",
       "        2    0.000    0.000    0.000    0.000 ir.py:984(infer_constant)\n",
       "        2    0.000    0.000    0.000    0.000 functions.py:382(get_impl_key)\n",
       "        8    0.000    0.000    0.000    0.000 {built-in method _thread.get_ident}\n",
       "        3    0.000    0.000    0.000    0.000 npyimpl.py:45(update_indices)\n",
       "        3    0.000    0.000    0.000    0.000 controlflow.py:282(<listcomp>)\n",
       "        7    0.000    0.000    0.000    0.000 errors.py:199(filename)\n",
       "        3    0.000    0.000    0.000    0.000 inline_closurecall.py:126(<listcomp>)\n",
       "        3    0.000    0.000    0.000    0.000 transforms.py:621(<listcomp>)\n",
       "        1    0.000    0.000    0.000    0.000 callconv.py:609(fp_zero_division)\n",
       "        3    0.000    0.000    0.000    0.000 ssa.py:112(<listcomp>)\n",
       "        2    0.000    0.000    0.000    0.000 {method 'setdefault' of 'dict' objects}\n",
       "        1    0.000    0.000    0.000    0.000 ir.py:1251(clear)\n",
       "        1    0.000    0.000    0.000    0.000 {method 'from_address' of '_ctypes.PyCArrayType' objects}\n",
       "        3    0.000    0.000    0.000    0.000 {method 'clear' of 'list' objects}\n",
       "        3    0.000    0.000    0.000    0.000 {method 'remove' of 'set' objects}\n",
       "        1    0.000    0.000    0.000    0.000 codecs.py:260(__init__)\n",
       "        1    0.000    0.000    0.000    0.000 caching.py:360(locator)\n",
       "        1    0.000    0.000    0.000    0.000 {method 'seek' of '_io.BufferedReader' objects}\n",
       "        1    0.000    0.000    0.000    0.000 npytypes.py:496(box_type)\n",
       "        3    0.000    0.000    0.000    0.000 compiler_machinery.py:256(finalized)\n",
       "        3    0.000    0.000    0.000    0.000 imputils.py:425(impl_ret_new_ref)\n",
       "        3    0.000    0.000    0.000    0.000 debuginfo.py:79(finalize)\n",
       "        1    0.000    0.000    0.000    0.000 caching.py:402(<genexpr>)\n",
       "        3    0.000    0.000    0.000    0.000 byteflow.py:1407(terminate)\n",
       "        1    0.000    0.000    0.000    0.000 funcdesc.py:126(llvm_cfunc_wrapper_name)\n",
       "        3    0.000    0.000    0.000    0.000 bytecode.py:178(__iter__)\n",
       "        1    0.000    0.000    0.000    0.000 anchor_text.py:1(<module>)\n",
       "        1    0.000    0.000    0.000    0.000 type_annotations.py:40(avail)\n",
       "        2    0.000    0.000    0.000    0.000 models.py:450(get_data_type)\n",
       "        3    0.000    0.000    0.000    0.000 lowering.py:130(pre_block)\n",
       "        1    0.000    0.000    0.000    0.000 registry.py:38(target_context)\n",
       "        3    0.000    0.000    0.000    0.000 {method '_is_owned' of '_thread.RLock' objects}\n",
       "        2    0.000    0.000    0.000    0.000 models.py:242(as_return)\n",
       "        1    0.000    0.000    0.000    0.000 mathimpl.py:104(<listcomp>)\n",
       "        2    0.000    0.000    0.000    0.000 base.py:1114(get_preferred_array_alignment)\n",
       "        1    0.000    0.000    0.000    0.000 base.py:332(nonconst_module_attrs)\n",
       "        3    0.000    0.000    0.000    0.000 lowering.py:74(init)\n",
       "        3    0.000    0.000    0.000    0.000 byteflow.py:1248(instructions)\n",
       "        1    0.000    0.000    0.000    0.000 {method 'startswith' of 'bytes' objects}\n",
       "        3    0.000    0.000    0.000    0.000 interpreter.py:1709(op_NOP)\n",
       "        2    0.000    0.000    0.000    0.000 models.py:502(inner_models)\n",
       "        2    0.000    0.000    0.000    0.000 models.py:717(inner_models)\n",
       "        3    0.000    0.000    0.000    0.000 typeinfer.py:1755(unify_finished)\n",
       "        1    0.000    0.000    0.000    0.000 dispatcher.py:166(_get_implementation)\n",
       "        1    0.000    0.000    0.000    0.000 caching.py:220(get_cache_path)\n",
       "        3    0.000    0.000    0.000    0.000 byteflow.py:1274(blockstack_initial)\n",
       "        3    0.000    0.000    0.000    0.000 byteflow.py:1265(outgoing_phis)\n",
       "        1    0.000    0.000    0.000    0.000 {built-in method _stat.S_ISDIR}\n",
       "        2    0.000    0.000    0.000    0.000 event.py:286(duration)\n",
       "        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}\n",
       "        1    0.000    0.000    0.000    0.000 __init__.py:579(__missing__)\n",
       "        3    0.000    0.000    0.000    0.000 debuginfo.py:73(mark_subprogram)\n",
       "        3    0.000    0.000    0.000    0.000 npyimpl.py:48(as_values)\n",
       "        2    0.000    0.000    0.000    0.000 values.py:954(basic_blocks)\n",
       "        1    0.000    0.000    0.000    0.000 {built-in method _operator.not_}\n",
       "        1    0.000    0.000    0.000    0.000 codegen.py:546(codegen)\n",
       "        1    0.000    0.000    0.000    0.000 contextlib.py:337(__enter__)\n",
       "        1    0.000    0.000    0.000    0.000 cgutils.py:202(_getpointer)\n",
       "        1    0.000    0.000    0.000    0.000 options.py:15(<lambda>)\n",
       "        1    0.000    0.000    0.000    0.000 dispatcher.py:169(_customize_flags)\n",
       "        1    0.000    0.000    0.000    0.000 {method 'close' of '_io.StringIO' objects}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "torch._C._jit_set_texpr_fuser_enabled(False)\n",
    "my_utils = TextUtils(examples, explainer, predict_sentences, ignored, optimize=optimize)\n",
    "myUtils.model = model\n",
    "myUtils.tokenizer = tokenizer\n",
    "anchor_base.AnchorBaseBeam.best_group = bg\n",
    "set_seed()\n",
    "%prun -s cumtime -T check/profile.txt my_utils.compute_explanations(list(range(len(examples))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb1bd996-c9ac-4704-b77e-472c29d051bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "###### my_utils = TextUtils(anchor_examples, test, explainer, predict_sentences, ignored,f\"profile.pickle\")\n",
    "#%lprun -s -m modified_anchor.anchor_text -m modified_anchor.anchor_base -m myUtils -T profile.txt  my_utils.compute_explanations(list(range(len(anchor_examples))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "891a9e98-7566-43f6-8eb1-1ed446033ead",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(datetime.datetime.now())"
   ]
  }
 ],
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   "language": "python",
   "name": "python3"
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