{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":11848,"databundleVersionId":862157,"sourceType":"competition"}],"dockerImageVersionId":30177,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"Histopathologic Cancer Detection By Team\n","metadata":{}},{"cell_type":"markdown","source":"# Prepare Enviornment","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport matplotlib.image as mpimg\nimport pickle\nimport os\n\nfrom sklearn.model_selection import train_test_split\n\nimport tensorflow as tf\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow import keras\nfrom tensorflow.keras.layers import * \n\nfrom tensorflow.keras.preprocessing.image import ImageDataGenerator\nfrom tensorflow.keras import backend as k\n\nimport os\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' ","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:29.867618Z","iopub.execute_input":"2024-04-30T13:23:29.868042Z","iopub.status.idle":"2024-04-30T13:23:29.877923Z","shell.execute_reply.started":"2024-04-30T13:23:29.867993Z","shell.execute_reply":"2024-04-30T13:23:29.876928Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Helper Functions","metadata":{}},{"cell_type":"code","source":"def merge_history(hlist):\n    history = {}\n    for k in hlist[0].history.keys():\n        history[k] = sum([h.history[k] for h in hlist], [])\n    return history\n\ndef vis_training(h, start=1):\n    epoch_range = range(start, len(h['loss'])+1)\n    s = slice(start-1, None)\n\n    plt.figure(figsize=[14,4])\n\n    n = int(len(h.keys()) / 2)\n\n    for i in range(n):\n        k = list(h.keys())[i]\n        plt.subplot(1,n,i+1)\n        plt.plot(epoch_range, h[k][s], label='Training')\n        plt.plot(epoch_range, h['val_' + k][s], label='Validation')\n        plt.xlabel('Epoch'); plt.ylabel(k); plt.title(k)\n        plt.grid()\n        plt.legend()\n\n    plt.tight_layout()\n    plt.show()","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:29.880044Z","iopub.execute_input":"2024-04-30T13:23:29.880477Z","iopub.status.idle":"2024-04-30T13:23:29.895317Z","shell.execute_reply.started":"2024-04-30T13:23:29.880433Z","shell.execute_reply":"2024-04-30T13:23:29.894380Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Load Training DataFrame","metadata":{}},{"cell_type":"code","source":"train = pd.read_csv('../input/histopathologic-cancer-detection/train_labels.csv', dtype=str)\nprint(train.shape)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:29.896618Z","iopub.execute_input":"2024-04-30T13:23:29.896930Z","iopub.status.idle":"2024-04-30T13:23:30.181498Z","shell.execute_reply.started":"2024-04-30T13:23:29.896890Z","shell.execute_reply":"2024-04-30T13:23:30.178433Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.head()\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:30.184171Z","iopub.execute_input":"2024-04-30T13:23:30.185205Z","iopub.status.idle":"2024-04-30T13:23:30.196107Z","shell.execute_reply.started":"2024-04-30T13:23:30.185154Z","shell.execute_reply":"2024-04-30T13:23:30.195218Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.id = train.id + '.tif'\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:30.197626Z","iopub.execute_input":"2024-04-30T13:23:30.198215Z","iopub.status.idle":"2024-04-30T13:23:30.252942Z","shell.execute_reply.started":"2024-04-30T13:23:30.198170Z","shell.execute_reply":"2024-04-30T13:23:30.252026Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train.head()\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:30.254556Z","iopub.execute_input":"2024-04-30T13:23:30.255012Z","iopub.status.idle":"2024-04-30T13:23:30.264785Z","shell.execute_reply.started":"2024-04-30T13:23:30.254954Z","shell.execute_reply":"2024-04-30T13:23:30.263901Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Label Distribution","metadata":{}},{"cell_type":"code","source":"(train.label.value_counts() / len(train)).to_frame().sort_index().T\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:30.266103Z","iopub.execute_input":"2024-04-30T13:23:30.266559Z","iopub.status.idle":"2024-04-30T13:23:30.306831Z","shell.execute_reply.started":"2024-04-30T13:23:30.266523Z","shell.execute_reply":"2024-04-30T13:23:30.306013Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Extract Images","metadata":{}},{"cell_type":"code","source":"train_path = \"../input/histopathologic-cancer-detection/train\"\n\nsample = train.sample(n=16).reset_index()\n\nplt.figure(figsize=(6,6))\n\nfor i, row in sample.iterrows():\n\n    img = mpimg.imread(f'../input/histopathologic-cancer-detection/train/{row.id}')    \n    label = row.label\n\n    plt.subplot(4,4,i+1)\n    plt.imshow(img)\n    plt.text(0, -5, f'Class {label}', color='k')\n        \n    plt.axis('off')\n\nplt.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:30.308191Z","iopub.execute_input":"2024-04-30T13:23:30.308481Z","iopub.status.idle":"2024-04-30T13:23:31.260075Z","shell.execute_reply.started":"2024-04-30T13:23:30.308440Z","shell.execute_reply":"2024-04-30T13:23:31.259229Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Training and Validation Sets","metadata":{}},{"cell_type":"code","source":"train_df, valid_df = train_test_split(train, test_size=0.2, random_state=1, stratify=train.label)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:31.262882Z","iopub.execute_input":"2024-04-30T13:23:31.263199Z","iopub.status.idle":"2024-04-30T13:23:31.652701Z","shell.execute_reply.started":"2024-04-30T13:23:31.263166Z","shell.execute_reply":"2024-04-30T13:23:31.651739Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Data Generators","metadata":{}},{"cell_type":"code","source":"train_datagen = ImageDataGenerator(rescale=1/255)\nvalidation_datagen = ImageDataGenerator(rescale=1/255)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:31.653967Z","iopub.execute_input":"2024-04-30T13:23:31.654253Z","iopub.status.idle":"2024-04-30T13:23:31.659474Z","shell.execute_reply.started":"2024-04-30T13:23:31.654217Z","shell.execute_reply":"2024-04-30T13:23:31.658554Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"BATCH_SIZE = 64\n\ntrain_loader = train_datagen.flow_from_dataframe(\n    dataframe = valid_df,\n    directory = train_path,\n    x_col = 'id',\n    y_col = 'label',\n    batch_size = BATCH_SIZE,\n    seed = 1,\n    shuffle = True,\n    class_mode = 'categorical',\n    target_size = (96,96)\n)\n\nvalid_loader = train_datagen.flow_from_dataframe(\n    dataframe = valid_df,\n    directory = train_path,\n    x_col = 'id',\n    y_col = 'label',\n    batch_size = BATCH_SIZE,\n    seed = 1,\n    shuffle = True,\n    class_mode = 'categorical',\n    target_size = (96,96)\n)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:31.660774Z","iopub.execute_input":"2024-04-30T13:23:31.661036Z","iopub.status.idle":"2024-04-30T13:23:45.871031Z","shell.execute_reply.started":"2024-04-30T13:23:31.660999Z","shell.execute_reply":"2024-04-30T13:23:45.870125Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"TR_STEPS = len(train_loader)\nVA_STEPS = len(valid_loader)\n\nprint(TR_STEPS)\nprint(VA_STEPS)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:45.872156Z","iopub.execute_input":"2024-04-30T13:23:45.872411Z","iopub.status.idle":"2024-04-30T13:23:45.878022Z","shell.execute_reply.started":"2024-04-30T13:23:45.872380Z","shell.execute_reply":"2024-04-30T13:23:45.877102Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Load Base Model","metadata":{}},{"cell_type":"code","source":"base_model = tf.keras.applications.VGG19(\n    input_shape=(96,96,3), \n    include_top=False, \n    weights='imagenet'\n)\n\nbase_model.trainable = False\n\nbase_model.summary()","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:45.879240Z","iopub.execute_input":"2024-04-30T13:23:45.879471Z","iopub.status.idle":"2024-04-30T13:23:46.301833Z","shell.execute_reply.started":"2024-04-30T13:23:45.879442Z","shell.execute_reply":"2024-04-30T13:23:46.301023Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Build and Train","metadata":{}},{"cell_type":"code","source":"np.random.seed(1)\ntf.random.set_seed(1)\n\ncnn = Sequential([\n    base_model,\n    BatchNormalization(),\n\n    Flatten(),\n    \n    Dense(16, activation='relu'),\n    Dropout(0.5),\n    Dense(8, activation='relu'),\n    Dropout(0.5),\n    BatchNormalization(),\n    Dense(2, activation='softmax')\n])\n\ncnn.summary()","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:46.303731Z","iopub.execute_input":"2024-04-30T13:23:46.304013Z","iopub.status.idle":"2024-04-30T13:23:46.469390Z","shell.execute_reply.started":"2024-04-30T13:23:46.303953Z","shell.execute_reply":"2024-04-30T13:23:46.468533Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"opt = tf.keras.optimizers.Adam(0.001)\ncnn.compile(loss='categorical_crossentropy', optimizer=opt, metrics=['accuracy', tf.keras.metrics.AUC()])","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:46.470554Z","iopub.execute_input":"2024-04-30T13:23:46.470783Z","iopub.status.idle":"2024-04-30T13:23:46.488037Z","shell.execute_reply.started":"2024-04-30T13:23:46.470754Z","shell.execute_reply":"2024-04-30T13:23:46.486936Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"%%time \n\nh1 = cnn.fit(\n    x = train_loader, \n    steps_per_epoch = TR_STEPS, \n    epochs = 10,\n    validation_data = valid_loader, \n    validation_steps = VA_STEPS, \n    verbose = 1\n)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:23:46.489297Z","iopub.execute_input":"2024-04-30T13:23:46.489547Z","iopub.status.idle":"2024-04-30T13:45:15.673445Z","shell.execute_reply.started":"2024-04-30T13:23:46.489515Z","shell.execute_reply":"2024-04-30T13:45:15.672605Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"history = merge_history([h1])\nvis_training(history)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:45:15.675080Z","iopub.execute_input":"2024-04-30T13:45:15.675866Z","iopub.status.idle":"2024-04-30T13:45:16.325793Z","shell.execute_reply.started":"2024-04-30T13:45:15.675814Z","shell.execute_reply":"2024-04-30T13:45:16.324974Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Fine Tuning","metadata":{}},{"cell_type":"code","source":"base_model.trainable = True\nk.set_value(cnn.optimizer.learning_rate, 0.00001)\ncnn.compile(loss='categorical_crossentropy', optimizer=opt, metrics=['accuracy', tf.keras.metrics.AUC()])","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:45:16.327037Z","iopub.execute_input":"2024-04-30T13:45:16.327319Z","iopub.status.idle":"2024-04-30T13:45:16.344878Z","shell.execute_reply.started":"2024-04-30T13:45:16.327289Z","shell.execute_reply":"2024-04-30T13:45:16.344229Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cnn.summary()\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:45:16.346104Z","iopub.execute_input":"2024-04-30T13:45:16.346328Z","iopub.status.idle":"2024-04-30T13:45:16.360663Z","shell.execute_reply.started":"2024-04-30T13:45:16.346300Z","shell.execute_reply":"2024-04-30T13:45:16.359802Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Train 2","metadata":{}},{"cell_type":"code","source":"%%time \n\nh2 = cnn.fit(\n    x = train_loader, \n    steps_per_epoch = TR_STEPS, \n    epochs = 10,\n    validation_data = valid_loader, \n    validation_steps = VA_STEPS, \n    verbose = 1\n)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T13:45:16.361957Z","iopub.execute_input":"2024-04-30T13:45:16.362242Z","iopub.status.idle":"2024-04-30T14:28:53.263442Z","shell.execute_reply.started":"2024-04-30T13:45:16.362207Z","shell.execute_reply":"2024-04-30T14:28:53.262323Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"h2.history['auc'] = h2.history['auc_1']\nh2.history['val_auc'] = h2.history['val_auc_1']","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.266414Z","iopub.execute_input":"2024-04-30T14:28:53.266719Z","iopub.status.idle":"2024-04-30T14:28:53.297373Z","shell.execute_reply.started":"2024-04-30T14:28:53.266677Z","shell.execute_reply":"2024-04-30T14:28:53.293762Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"history = merge_history([h1, h2])\nvis_training(history, start=10)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.299461Z","iopub.status.idle":"2024-04-30T14:28:53.299794Z","shell.execute_reply.started":"2024-04-30T14:28:53.299621Z","shell.execute_reply":"2024-04-30T14:28:53.299640Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Training 3","metadata":{}},{"cell_type":"code","source":"%%time \n\nh3 = cnn.fit(\n    x = train_loader, \n    steps_per_epoch = TR_STEPS, \n    epochs = 10,\n    validation_data = valid_loader, \n    validation_steps = VA_STEPS, \n    verbose = 1\n)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.302788Z","iopub.status.idle":"2024-04-30T14:28:53.303255Z","shell.execute_reply.started":"2024-04-30T14:28:53.303035Z","shell.execute_reply":"2024-04-30T14:28:53.303056Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"h3.history['auc'] = h3.history['auc_1'] \nh3.history['val_auc'] = h3.history['val_auc_1'] ","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.305159Z","iopub.status.idle":"2024-04-30T14:28:53.305487Z","shell.execute_reply.started":"2024-04-30T14:28:53.305313Z","shell.execute_reply":"2024-04-30T14:28:53.305336Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"history = merge_history([h1, h2, h3])\nvis_training(history, start=10)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.306875Z","iopub.status.idle":"2024-04-30T14:28:53.307267Z","shell.execute_reply.started":"2024-04-30T14:28:53.307057Z","shell.execute_reply":"2024-04-30T14:28:53.307082Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cnn.save('HCDv01.h5')\npickle.dump(history, open(f'HCDv01.pkl', 'wb'))","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.309967Z","iopub.status.idle":"2024-04-30T14:28:53.310320Z","shell.execute_reply.started":"2024-04-30T14:28:53.310146Z","shell.execute_reply":"2024-04-30T14:28:53.310169Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Submission","metadata":{}},{"cell_type":"code","source":"test = pd.read_csv('../input/histopathologic-cancer-detection/sample_submission.csv')\n\nprint('Test Set Size:', test.shape)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.311861Z","iopub.status.idle":"2024-04-30T14:28:53.312258Z","shell.execute_reply.started":"2024-04-30T14:28:53.312066Z","shell.execute_reply":"2024-04-30T14:28:53.312091Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test['filename'] = test.id + '.tif'\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.313555Z","iopub.status.idle":"2024-04-30T14:28:53.314085Z","shell.execute_reply.started":"2024-04-30T14:28:53.313770Z","shell.execute_reply":"2024-04-30T14:28:53.313797Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test.head()\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.315653Z","iopub.status.idle":"2024-04-30T14:28:53.315998Z","shell.execute_reply.started":"2024-04-30T14:28:53.315801Z","shell.execute_reply":"2024-04-30T14:28:53.315817Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_path = \"../input/histopathologic-cancer-detection/test\"\nprint('Test Images:', len(os.listdir(test_path)))","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.318689Z","iopub.status.idle":"2024-04-30T14:28:53.319155Z","shell.execute_reply.started":"2024-04-30T14:28:53.318887Z","shell.execute_reply":"2024-04-30T14:28:53.318910Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"BATCH_SIZE = 64\n\ntest_datagen = ImageDataGenerator(rescale=1/255)\n\ntest_loader = test_datagen.flow_from_dataframe(\n    dataframe = test,\n    directory = test_path,\n    x_col = 'filename',\n    batch_size = BATCH_SIZE,\n    shuffle = False,\n    class_mode = None,\n    target_size = (96,96)\n)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.320896Z","iopub.status.idle":"2024-04-30T14:28:53.321401Z","shell.execute_reply.started":"2024-04-30T14:28:53.321135Z","shell.execute_reply":"2024-04-30T14:28:53.321161Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_probs = cnn.predict(test_loader)\nprint(test_probs.shape)","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.322899Z","iopub.status.idle":"2024-04-30T14:28:53.323407Z","shell.execute_reply.started":"2024-04-30T14:28:53.323134Z","shell.execute_reply":"2024-04-30T14:28:53.323161Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(len(test_loader))\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.326190Z","iopub.status.idle":"2024-04-30T14:28:53.326627Z","shell.execute_reply.started":"2024-04-30T14:28:53.326388Z","shell.execute_reply":"2024-04-30T14:28:53.326411Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"print(test_probs[:10,].round(2))\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.327945Z","iopub.status.idle":"2024-04-30T14:28:53.328450Z","shell.execute_reply.started":"2024-04-30T14:28:53.328177Z","shell.execute_reply":"2024-04-30T14:28:53.328202Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_pred = np.argmax(test_probs, axis=1)\nprint(test_pred[:10])","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.330184Z","iopub.status.idle":"2024-04-30T14:28:53.330557Z","shell.execute_reply.started":"2024-04-30T14:28:53.330356Z","shell.execute_reply":"2024-04-30T14:28:53.330386Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Prepare Submission","metadata":{}},{"cell_type":"code","source":"submission = pd.read_csv('../input/histopathologic-cancer-detection/sample_submission.csv')\nsubmission.head()","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.332875Z","iopub.status.idle":"2024-04-30T14:28:53.333459Z","shell.execute_reply.started":"2024-04-30T14:28:53.333161Z","shell.execute_reply":"2024-04-30T14:28:53.333190Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.label = test_probs[:,1]\nsubmission.head()","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.374177Z","iopub.status.idle":"2024-04-30T14:28:53.375000Z","shell.execute_reply.started":"2024-04-30T14:28:53.374740Z","shell.execute_reply":"2024-04-30T14:28:53.374766Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.to_csv('submission.csv', header=True, index=False)\n","metadata":{"execution":{"iopub.status.busy":"2024-04-30T14:28:53.376631Z","iopub.status.idle":"2024-04-30T14:28:53.377246Z","shell.execute_reply.started":"2024-04-30T14:28:53.376907Z","shell.execute_reply":"2024-04-30T14:28:53.376964Z"},"trusted":true},"execution_count":null,"outputs":[]}]}