diff --git a/docs/source/literature.ipynb b/docs/source/literature.ipynb index ef21b51d..02c06b1f 100644 --- a/docs/source/literature.ipynb +++ b/docs/source/literature.ipynb @@ -276,44 +276,283 @@ ] }, { - "cell_type": "markdown", - "id": "3a8356b6", + "cell_type": "code", + "execution_count": 7, + "id": "73cf3910-e62c-4db9-81ca-50a7cc176a77", "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "# Summary of Benchmark Training\n", + "\n", + "Note that these are the results for models within `kgcnn` implementation, and that training is not always done with optimal hyperparameter or splits, when comparing with literature.\n", + "This table is generated automatically from keras history logs.\n", + "Model weights and training statistics plots are not uploaded on \n", + "[github](https://github.com/aimat-lab/gcnn_keras/tree/master/training/results) \n", + "due to their file size.\n", + "\n", + "*Max.* or *Min.* denotes the best test error observed for any epoch during training.\n", + "To show overall best test error run ``python3 summary.py --min_max True``.\n", + "If not noted otherwise, we use a (fixed) random k-fold split for validation errors.\n", + "\n", + "#### ClinToxDataset\n", + "\n", + "ClinTox (MoleculeNet) consists of 1478 compounds as smiles and data of drugs approved by the FDA and those that have failed clinical trials for toxicity reasons. We use random 5-fold cross-validation. The first label 'approved' is chosen as target.\n", + "\n", + "| model | kgcnn | epochs | Accuracy | AUC(ROC) |\n", + "|:----------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| DMPNN | 4.0.0 | 50 | 0.9480 ± 0.0138 | 0.8297 ± 0.0568 |\n", + "| GAT | 4.0.0 | 50 | **0.9480 ± 0.0070** | 0.8512 ± 0.0468 |\n", + "| GATv2 | 4.0.0 | 50 | 0.9372 ± 0.0155 | **0.8587 ± 0.0754** |\n", + "| GCN | 4.0.0 | 50 | 0.9432 ± 0.0155 | 0.8555 ± 0.0593 |\n", + "| GIN | 4.0.0 | 50 | 0.9412 ± 0.0034 | 0.8066 ± 0.0636 |\n", + "| GraphSAGE | 4.0.0 | 100 | 0.9412 ± 0.0073 | 0.8013 ± 0.0422 |\n", + "| Schnet | 4.0.0 | 50 | 0.9277 ± 0.0102 | 0.6562 ± 0.0760 |\n", + "\n", + "#### CoraDataset\n", + "\n", + "Cora Dataset of 19793 publications and 8710 sparse node attributes and 70 node classes. Here we use random 5-fold cross-validation on nodes. \n", + "\n", + "| model | kgcnn | epochs | Categorical accuracy |\n", + "|:----------|:--------|---------:|:-----------------------|\n", + "| DMPNN | 4.0.0 | 300 | 0.2476 ± 0.1706 |\n", + "| GAT | 4.0.0 | 250 | 0.6157 ± 0.0071 |\n", + "| GATv2 | 4.0.0 | 1000 | 0.6211 ± 0.0048 |\n", + "| GCN | 4.0.0 | 300 | 0.6232 ± 0.0054 |\n", + "| GIN | 4.0.0 | 800 | **0.6263 ± 0.0080** |\n", + "| GraphSAGE | 4.0.0 | 600 | 0.6151 ± 0.0053 |\n", + "\n", + "#### CoraLuDataset\n", + "\n", + "Cora Dataset after Lu et al. (2003) of 2708 publications and 1433 sparse attributes and 7 node classes. Here we use random 5-fold cross-validation on nodes. \n", + "\n", + "| model | kgcnn | epochs | Categorical accuracy |\n", + "|:----------|:--------|---------:|:-----------------------|\n", + "| DMPNN | 4.0.0 | 300 | 0.8357 ± 0.0156 |\n", + "| GAT | 4.0.0 | 250 | 0.8397 ± 0.0122 |\n", + "| GATv2 | 4.0.0 | 250 | 0.8331 ± 0.0104 |\n", + "| GCN | 4.0.0 | 300 | 0.8072 ± 0.0109 |\n", + "| GIN | 4.0.0 | 500 | 0.8279 ± 0.0170 |\n", + "| GraphSAGE | 4.0.0 | 500 | **0.8497 ± 0.0100** |\n", + "\n", + "#### ESOLDataset\n", + "\n", + "ESOL consists of 1128 compounds as smiles and their corresponding water solubility in log10(mol/L). We use random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [log mol/L] | RMSE [log mol/L] |\n", + "|:----------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| DMPNN | 4.0.0 | 300 | **0.4401 ± 0.0165** | **0.6203 ± 0.0292** |\n", + "| GAT | 4.0.0 | 500 | 0.4818 ± 0.0240 | 0.6919 ± 0.0694 |\n", + "| GATv2 | 4.0.0 | 500 | 0.4598 ± 0.0234 | 0.6650 ± 0.0409 |\n", + "| GCN | 4.0.0 | 800 | 0.4613 ± 0.0205 | 0.6534 ± 0.0513 |\n", + "| GIN | 4.0.0 | 300 | 0.5369 ± 0.0334 | 0.7954 ± 0.0861 |\n", + "| GraphSAGE | 4.0.0 | 500 | 0.4874 ± 0.0228 | 0.6982 ± 0.0608 |\n", + "| Schnet | 4.0.0 | 800 | 0.4777 ± 0.0294 | 0.6977 ± 0.0538 |\n", + "\n", + "#### FreeSolvDataset\n", + "\n", + "FreeSolv (MoleculeNet) consists of 642 compounds as smiles and their corresponding hydration free energy for small neutral molecules in water. We use a random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [log mol/L] | RMSE [log mol/L] |\n", + "|:----------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| DMPNN | 4.0.0 | 300 | **0.5487 ± 0.0754** | **0.9206 ± 0.1889** |\n", + "| GAT | 4.0.0 | 500 | 0.6051 ± 0.0861 | 1.0326 ± 0.1819 |\n", + "| GATv2 | 4.0.0 | 500 | 0.6151 ± 0.0247 | 1.0535 ± 0.0817 |\n", + "| GCN | 4.0.0 | 800 | 0.6400 ± 0.0834 | 1.0876 ± 0.1393 |\n", + "| GIN | 4.0.0 | 300 | 0.8100 ± 0.1016 | 1.2695 ± 0.1192 |\n", + "| GraphSAGE | 4.0.0 | 500 | 0.5894 ± 0.0675 | 1.0009 ± 0.1491 |\n", + "| Schnet | 4.0.0 | 800 | 0.6070 ± 0.0285 | 1.0603 ± 0.0549 |\n", + "\n", + "#### ISO17Dataset\n", + "\n", + "The database consist of 129 molecules each containing 5,000 conformational geometries, energies and forces with a resolution of 1 femtosecond in the molecular dynamics trajectories. The molecules were randomly drawn from the largest set of isomers in the QM9 dataset. \n", + "\n", + "| model | kgcnn | epochs | Energy (test_within) | Force (test_within) |\n", + "|:------------------------|:--------|---------:|:-----------------------|:----------------------|\n", + "| Schnet.EnergyForceModel | 4.0.0 | 1000 | **0.0061 ± nan** | **0.0134 ± nan** |\n", + "\n", + "#### LipopDataset\n", + "\n", + "Lipophilicity (MoleculeNet) consists of 4200 compounds as smiles. Graph labels for regression are octanol/water distribution coefficient (logD at pH 7.4). We use random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [log mol/L] | RMSE [log mol/L] |\n", + "|:----------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| DMPNN | 4.0.0 | 300 | **0.3814 ± 0.0064** | **0.5462 ± 0.0095** |\n", + "| GAT | 4.0.0 | 500 | 0.5168 ± 0.0088 | 0.7220 ± 0.0098 |\n", + "| GATv2 | 4.0.0 | 500 | 0.4342 ± 0.0104 | 0.6056 ± 0.0114 |\n", + "| GCN | 4.0.0 | 800 | 0.4960 ± 0.0107 | 0.6833 ± 0.0155 |\n", + "| GIN | 4.0.0 | 300 | 0.4745 ± 0.0101 | 0.6658 ± 0.0159 |\n", + "| GraphSAGE | 4.0.0 | 500 | 0.4333 ± 0.0217 | 0.6218 ± 0.0318 |\n", + "| Schnet | 4.0.0 | 800 | 0.5657 ± 0.0202 | 0.7485 ± 0.0245 |\n", + "\n", + "#### MD17Dataset\n", + "\n", + "Energies and forces for molecular dynamics trajectories of eight organic molecules. All geometries in A, energy labels in kcal/mol and force labels in kcal/mol/A. We use preset train-test split. Training on 1000 geometries, test on 500/1000 geometries. Errors are MAE for forces. Results are for the CCSD and CCSD(T) data in MD17. \n", + "\n", + "| model | kgcnn | epochs | Aspirin | Toluene | Malonaldehyde | Benzene | Ethanol |\n", + "|:------------------------|:--------|---------:|:--------------------|:--------------------|:--------------------|:--------------------|:--------------------|\n", + "| Schnet.EnergyForceModel | 4.0.0 | 1000 | **1.2173 ± nan** | **0.7395 ± nan** | **0.8444 ± nan** | **0.3353 ± nan** | **0.4832 ± nan** |\n", + "\n", + "#### MD17RevisedDataset\n", + "\n", + "Energies and forces for molecular dynamics trajectories. All geometries in A, energy labels in kcal/mol and force labels in kcal/mol/A. We use preset train-test split. Training on 1000 geometries, test on 500/1000 geometries. Errors are MAE for forces. \n", + "\n", + "| model | kgcnn | epochs | Aspirin | Toluene | Malonaldehyde | Benzene | Ethanol |\n", + "|:------------------------|:--------|---------:|:-----------------------|:-----------------------|:-----------------------|:-----------------------|:-----------------------|\n", + "| Schnet.EnergyForceModel | 4.0.0 | 1000 | **1.0389 ± 0.0071** | **0.5482 ± 0.0105** | **0.6727 ± 0.0132** | **0.2525 ± 0.0091** | **0.4471 ± 0.0199** |\n", + "\n", + "#### MatProjectDielectricDataset\n", + "\n", + "Materials Project dataset from Matbench with 4764 crystal structures and their corresponding Refractive index (unitless). We use a random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [no unit] | RMSE [no unit] |\n", + "|:--------------------------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| Schnet.make_crystal_model | 4.0.0 | 800 | **0.3180 ± 0.0359** | **1.8509 ± 0.5854** |\n", + "\n", + "#### MatProjectGapDataset\n", + "\n", + "Materials Project dataset from Matbench with 106113 crystal structures and their band gap as calculated by PBE DFT from the Materials Project, in eV. We use a random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [eV] | RMSE [eV] |\n", + "|:--------------------------|:--------|---------:|:-----------------------|:--------------------------|\n", + "| Schnet.make_crystal_model | 4.0.0 | 800 | **1.2226 ± 1.0573** | **58.3713 ± 114.2957** |\n", + "\n", + "#### MatProjectIsMetalDataset\n", + "\n", + "Materials Project dataset from Matbench with 106113 crystal structures and their corresponding Metallicity determined with pymatgen. 1 if the compound is a metal, 0 if the compound is not a metal. We use a random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | Accuracy | AUC |\n", + "|:--------------------------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| Schnet.make_crystal_model | 4.0.0 | 80 | **0.8953 ± 0.0058** | **0.9506 ± 0.0053** |\n", + "\n", + "#### MatProjectJdft2dDataset\n", + "\n", + "Materials Project dataset from Matbench with 636 crystal structures and their corresponding Exfoliation energy (meV/atom). We use a random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [meV/atom] | RMSE [meV/atom] |\n", + "|:--------------------------|:--------|---------:|:-------------------------|:--------------------------|\n", + "| PAiNN.make_crystal_model | 4.0.0 | 800 | 49.3889 ± 11.5376 | 121.7087 ± 30.0472 |\n", + "| Schnet.make_crystal_model | 4.0.0 | 800 | **45.2412 ± 11.6395** | **115.6890 ± 39.0929** |\n", + "\n", + "#### MatProjectLogGVRHDataset\n", + "\n", + "Materials Project dataset from Matbench with 10987 crystal structures and their corresponding Base 10 logarithm of the DFT Voigt-Reuss-Hill average shear moduli in GPa. We use a random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [log(GPa)] | RMSE [log(GPa)] |\n", + "|:--------------------------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| Schnet.make_crystal_model | 4.0.0 | 800 | **0.0836 ± 0.0021** | **0.1296 ± 0.0044** |\n", + "\n", + "#### MatProjectLogKVRHDataset\n", + "\n", + "Materials Project dataset from Matbench with 10987 crystal structures and their corresponding Base 10 logarithm of the DFT Voigt-Reuss-Hill average bulk moduli in GPa. We use a random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [log(GPa)] | RMSE [log(GPa)] |\n", + "|:--------------------------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| Schnet.make_crystal_model | 4.0.0 | 800 | **0.0635 ± 0.0016** | **0.1186 ± 0.0044** |\n", + "\n", + "#### MatProjectPerovskitesDataset\n", + "\n", + "Materials Project dataset from Matbench with 18928 crystal structures and their corresponding Heat of formation of the entire 5-atom perovskite cell in eV. We use a random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [eV] | RMSE [eV] |\n", + "|:--------------------------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| Schnet.make_crystal_model | 4.0.0 | 800 | **0.0381 ± 0.0005** | **0.0645 ± 0.0024** |\n", + "\n", + "#### MatProjectPhononsDataset\n", + "\n", + "Materials Project dataset from Matbench with 1,265 crystal structures and their corresponding vibration properties in [1/cm]. We use a random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | MAE [eV/atom] | RMSE [eV/atom] |\n", + "|:--------------------------|:--------|---------:|:------------------------|:-------------------------|\n", + "| Schnet.make_crystal_model | 4.0.0 | 800 | **43.0692 ± 3.6227** | **88.5151 ± 20.0244** |\n", + "\n", + "#### MUTAGDataset\n", + "\n", + "MUTAG dataset from TUDataset for classification with 188 graphs. We use random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | Accuracy | AUC(ROC) |\n", + "|:----------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| DMPNN | 4.0.0 | 300 | **0.8407 ± 0.0463** | 0.8567 ± 0.0511 |\n", + "| GAT | 4.0.0 | 500 | 0.8141 ± 0.1077 | 0.8671 ± 0.0923 |\n", + "| GATv2 | 4.0.0 | 500 | 0.8193 ± 0.0945 | 0.8379 ± 0.1074 |\n", + "| GCN | 4.0.0 | 800 | 0.7716 ± 0.0531 | 0.7956 ± 0.0909 |\n", + "| GIN | 4.0.0 | 300 | 0.8091 ± 0.0781 | **0.8693 ± 0.0855** |\n", + "| GraphSAGE | 4.0.0 | 500 | 0.8357 ± 0.0798 | 0.8533 ± 0.0824 |\n", + "\n", + "#### MutagenicityDataset\n", + "\n", + "Mutagenicity dataset from TUDataset for classification with 4337 graphs. The dataset was cleaned for unconnected atoms. We use random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | Accuracy | AUC(ROC) |\n", + "|:----------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| DMPNN | 4.0.0 | 300 | **0.8266 ± 0.0059** | **0.8708 ± 0.0076** |\n", + "| GAT | 4.0.0 | 500 | 0.7989 ± 0.0114 | 0.8290 ± 0.0112 |\n", + "| GATv2 | 4.0.0 | 200 | 0.7674 ± 0.0048 | 0.8423 ± 0.0064 |\n", + "| GCN | 4.0.0 | 800 | 0.7955 ± 0.0154 | 0.8191 ± 0.0137 |\n", + "| GIN | 4.0.0 | 300 | 0.8118 ± 0.0091 | 0.8492 ± 0.0077 |\n", + "| GraphSAGE | 4.0.0 | 500 | 0.8195 ± 0.0126 | 0.8515 ± 0.0083 |\n", + "\n", + "#### PROTEINSDataset\n", + "\n", + "TUDataset of proteins that are classified as enzymes or non-enzymes. Nodes represent the amino acids of the protein. We use random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | Accuracy | AUC(ROC) |\n", + "|:----------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| DMPNN | 4.0.0 | 300 | 0.7287 ± 0.0253 | **0.7970 ± 0.0343** |\n", + "| GAT | 4.0.0 | 500 | **0.7314 ± 0.0357** | 0.7899 ± 0.0468 |\n", + "| GATv2 | 4.0.0 | 500 | 0.6720 ± 0.0595 | 0.6850 ± 0.0938 |\n", + "| GCN | 4.0.0 | 800 | 0.7017 ± 0.0303 | 0.7211 ± 0.0254 |\n", + "| GIN | 4.0.0 | 150 | 0.7224 ± 0.0343 | 0.7905 ± 0.0528 |\n", + "| GraphSAGE | 4.0.0 | 500 | 0.7009 ± 0.0398 | 0.7263 ± 0.0453 |\n", + "\n", + "#### QM7Dataset\n", + "\n", + "QM7 dataset is a subset of GDB-13. Molecules of up to 23 atoms (including 7 heavy atoms C, N, O, and S), totalling 7165 molecules. We use dataset-specific 5-fold cross-validation. The atomization energies are given in kcal/mol and are ranging from -800 to -2000 kcal/mol). \n", + "\n", + "| model | kgcnn | epochs | MAE [kcal/mol] | RMSE [kcal/mol] |\n", + "|:--------|:--------|---------:|:-----------------------|:------------------------|\n", + "| Schnet | 4.0.0 | 800 | **3.4313 ± 0.4757** | **10.8978 ± 7.3863** |\n", + "\n", + "#### SIDERDataset\n", + "\n", + "SIDER (MoleculeNet) consists of 1427 compounds as smiles and data for adverse drug reactions (ADR), grouped into 27 system organ classes. We use random 5-fold cross-validation.\n", + "\n", + "| model | kgcnn | epochs | Accuracy | AUC(ROC) |\n", + "|:----------|:--------|---------:|:-----------------------|:-----------------------|\n", + "| DMPNN | 4.0.0 | 50 | 0.7519 ± 0.0055 | **0.6280 ± 0.0173** |\n", + "| GAT | 4.0.0 | 50 | **0.7595 ± 0.0034** | 0.6224 ± 0.0106 |\n", + "| GATv2 | 4.0.0 | 50 | 0.7548 ± 0.0052 | 0.6152 ± 0.0154 |\n", + "| GIN | 4.0.0 | 50 | 0.7472 ± 0.0055 | 0.5995 ± 0.0058 |\n", + "| GraphSAGE | 4.0.0 | 30 | 0.7547 ± 0.0043 | 0.6038 ± 0.0108 |\n", + "| Schnet | 4.0.0 | 50 | 0.7583 ± 0.0076 | 0.6119 ± 0.0159 |\n", + "\n", + "#### Tox21MolNetDataset\n", + "\n", + "Tox21 (MoleculeNet) consists of 7831 compounds as smiles and 12 different targets relevant to drug toxicity. We use random 5-fold cross-validation. \n", + "\n", + "| model | kgcnn | epochs | Accuracy | AUC(ROC) | BACC |\n", + "|:----------|:--------|---------:|:-----------------------|:-----------------------|:-----------------------|\n", + "| DMPNN | 4.0.0 | 50 | **0.9272 ± 0.0024** | **0.8321 ± 0.0103** | **0.6995 ± 0.0130** |\n", + "| GAT | 4.0.0 | 50 | 0.9243 ± 0.0022 | 0.8279 ± 0.0092 | 0.6504 ± 0.0074 |\n", + "| GATv2 | 4.0.0 | 50 | 0.9222 ± 0.0019 | 0.8251 ± 0.0069 | 0.6760 ± 0.0140 |\n", + "| GIN | 4.0.0 | 50 | 0.9220 ± 0.0024 | 0.7986 ± 0.0180 | 0.6741 ± 0.0143 |\n", + "| GraphSAGE | 4.0.0 | 100 | 0.9180 ± 0.0027 | 0.7976 ± 0.0087 | 0.6755 ± 0.0047 |\n", + "| Schnet | 4.0.0 | 50 | 0.9128 ± 0.0030 | 0.7719 ± 0.0139 | 0.6639 ± 0.0162 |\n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Summary of Benchmark Training\n", - "\n", - "Note that these are the results for models within `kgcnn` implementation, and that training is not always done with optimal hyperparameter or splits, when comparing with literature.\n", - "This table is generated automatically from keras history logs.\n", - "Model weights and training statistics plots are not uploaded on \n", - "[github](https://github.com/aimat-lab/gcnn_keras/tree/master/training/results) \n", - "due to their file size.\n", - "\n", - "*Max.* or *Min.* denotes the best test error observed for any epoch during training.\n", - "To show overall best test error run ``python3 summary.py --min_max True``.\n", - "If not noted otherwise, we use a (fixed) random k-fold split for validation errors.\n", - "\n", - "#### CoraLuDataset\n", - "\n", - "Cora Dataset after Lu et al. (2003) of 2708 publications and 1433 sparse attributes and 7 node classes. Here we use random 5-fold cross-validation on nodes. \n", - "\n", - "| model | kgcnn | epochs | Categorical accuracy |\n", - "|:----------|:--------|---------:|:-----------------------|\n", - "| GAT | 4.0.0 | 250 | 0.8464 ± 0.0105 |\n", - "| GATv2 | 4.0.0 | 250 | 0.8331 ± 0.0104 |\n", - "| GCN | 4.0.0 | 300 | 0.8072 ± 0.0109 |\n", - "| GIN | 4.0.0 | 500 | 0.8279 ± 0.0170 |\n", - "| GraphSAGE | 4.0.0 | 500 | **0.8497 ± 0.0100** |\n", - "\n", - "#### ESOLDataset\n", - "\n", - "ESOL consists of 1128 compounds as smiles and their corresponding water solubility in log10(mol/L). We use random 5-fold cross-validation. \n", - "\n", - "| model | kgcnn | epochs | MAE [log mol/L] | RMSE [log mol/L] |\n", - "|:--------|:--------|---------:|:-----------------------|:-----------------------|\n", - "| GAT | 4.0.0 | 500 | 0.4826 ± 0.0255 | 0.6903 ± 0.0705 |\n", - "| GCN | 4.0.0 | 800 | **0.4623 ± 0.0224** | **0.6567 ± 0.0456** |\n", - "| Schnet | 4.0.0 | 800 | 0.4678 ± 0.0227 | 0.6662 ± 0.0629 |\n", - "\n" + "from IPython.display import Markdown, display\n", + "Markdown(open('../../training/results/README.md', encoding='utf-8').read())" ] }, { diff --git a/kgcnn/layers/pooling.py b/kgcnn/layers/pooling.py index 52ee52fb..b47d7407 100644 --- a/kgcnn/layers/pooling.py +++ b/kgcnn/layers/pooling.py @@ -48,7 +48,7 @@ def build(self, input_shape): """Build layer.""" assert len(input_shape) == 4 ref_shape, attr_shape, weights_shape, index_shape = [list(x) for x in input_shape] - self.to_aggregate.build([tuple(x) for x in [attr_shape, index_shape, ref_shape]]) + self._to_aggregate.build([tuple(x) for x in [attr_shape, index_shape, ref_shape]]) self.built = True def call(self, inputs, **kwargs): diff --git a/kgcnn/literature/GNNExplain/_model.py b/kgcnn/literature/GNNExplain/_model.py index d135e6d6..173a88a8 100644 --- a/kgcnn/literature/GNNExplain/_model.py +++ b/kgcnn/literature/GNNExplain/_model.py @@ -158,6 +158,10 @@ def __init__(self, gnn, gnnexplaineroptimizer_options=None, self.gnnx_optimizer = None self.graph_instance = None self.gnnexplaineroptimizer_options = gnnexplaineroptimizer_options + # We need to save options as serialized version to recreate the optimizer on multiple explain calls. + if "optimizer" in compile_options: + if isinstance(compile_options["optimizer"], ks.optimizers.Optimizer): + compile_options["optimizer"] = ks.saving.serialize_keras_object(compile_options["optimizer"]) self.compile_options = compile_options self.fit_options = fit_options @@ -196,7 +200,10 @@ def explain(self, graph_instance, output_to_explain=None, inspection=False, **kw self.gnnx_optimizer = gnnx_optimizer if output_to_explain is not None: - gnnx_optimizer.output_to_explain = output_to_explain + if gnnx_optimizer._output_to_explain_as_variable: + gnnx_optimizer.output_to_explain.assign(output_to_explain) + else: + gnnx_optimizer.output_to_explain = output_to_explain gnnx_optimizer.compile(**self.compile_options) @@ -290,6 +297,8 @@ class GNNExplainerOptimizer(ks.Model): which then can be used to explain decisions by GNNs. """ + _output_to_explain_as_variable = False + def __init__(self, gnn_model, graph_instance, edge_mask_loss_weight=1e-4, edge_mask_norm_ord=1, @@ -355,7 +364,18 @@ def __init__(self, gnn_model, graph_instance, dtype=self.dtype, trainable=True ) - self.output_to_explain = gnn_model.predict(graph_instance) + output_to_explain = gnn_model.predict(graph_instance) + if self._output_to_explain_as_variable: + self.output_to_explain = self.add_weight( + name='output_to_explain', + shape=output_to_explain.shape, + initializer=ks.initializers.Constant(0.), + dtype=output_to_explain.dtype, + trainable=False + ) + self.output_to_explain.assign(output_to_explain) + else: + self.output_to_explain = output_to_explain # Configuration Parameters self.edge_mask_loss_weight = edge_mask_loss_weight diff --git a/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_1.ipynb b/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_1.ipynb index 76161176..1895d413 100644 --- a/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_1.ipynb +++ b/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_1.ipynb @@ -348,12 +348,12 @@ "output_type": "stream", "text": [ "None\n", - "Print Time for taining: 458.515625\n" + "Print Time for taining: 402.5625\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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", 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", 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" ] @@ -597,7 +597,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", 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" ] @@ -649,7 +649,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] diff --git a/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_2.ipynb b/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_2.ipynb index f929645d..3c8b0aa9 100644 --- a/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_2.ipynb +++ b/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_2.ipynb @@ -12,17 +12,6 @@ "text": [ "Using TensorFlow backend\n" ] - }, - { - "ename": "ImportError", - "evalue": "cannot import name 'make_model_weighted' from 'kgcnn.literature.GCN' (h:\\postdoc\\project_pycharm\\gcnn_keras\\kgcnn\\literature\\GCN\\__init__.py)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[1], line 11\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtime\u001b[39;00m\n\u001b[0;32m 10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mkgcnn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mliterature\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mGNNExplain\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m GNNExplainer, GNNInterface\n\u001b[1;32m---> 11\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mkgcnn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mliterature\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mGCN\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m make_model, make_model_weighted\n\u001b[0;32m 12\u001b[0m \u001b[38;5;66;03m# from kgcnn.layers.ragged.pooling import PoolingWeightedNodes\u001b[39;00m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mkgcnn\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdata\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m ragged_tensor_from_nested_numpy\n", - "\u001b[1;31mImportError\u001b[0m: cannot import name 'make_model_weighted' from 'kgcnn.literature.GCN' (h:\\postdoc\\project_pycharm\\gcnn_keras\\kgcnn\\literature\\GCN\\__init__.py)" - ] } ], "source": [ @@ -37,7 +26,6 @@ "\n", "from kgcnn.literature.GNNExplain import GNNExplainer, GNNInterface\n", "from kgcnn.literature.GCN import make_model, make_model_weighted\n", - "# from kgcnn.layers.ragged.pooling import PoolingWeightedNodes\n", "from kgcnn.data.utils import ragged_tensor_from_nested_numpy\n", "from kgcnn.training.scheduler import LinearLearningRateScheduler\n", "\n", @@ -59,6 +47,22 @@ { "cell_type": "code", "execution_count": 2, + "id": "5e2518f5-795f-4b72-84fd-ce6af4227861", + "metadata": {}, + "outputs": [], + "source": [ + "model_inputs = [\n", + " {'shape': (None, 14), 'name': \"node_attributes\", 'dtype': 'float32'},\n", + " {'shape': (None, 1), 'name': \"edge_attributes\", 'dtype': 'float32'},\n", + " {'shape': (None, 2), 'name': \"edge_indices\", 'dtype': 'int64'},\n", + " {\"shape\": (), \"name\": \"total_nodes\", \"dtype\": \"int64\"},\n", + " {\"shape\": (), \"name\": \"total_edges\", \"dtype\": \"int64\"}\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "id": "68dbd195", "metadata": {}, "outputs": [ @@ -135,41 +139,27 @@ "name": "stdout", "output_type": "stream", "text": [ - "[TensorShape([3469, None, 14]), TensorShape([3469, None, 1]), TensorShape([3469, None, 2])]\n", - "[TensorShape([868, None, 14]), TensorShape([868, None, 1]), TensorShape([868, None, 2])]\n", - "(3469, 1, 1) (868, 1, 1)\n" + "[(3469, 103, 14), (3469, 216, 1), (3469, 216, 2), (3469,), (3469,)]\n", + "[(868, 99, 14), (868, 224, 1), (868, 224, 2), (868,), (868,)]\n", + "(3469, 1) (868, 1)\n" ] } ], "source": [ "dataset = MutagenicityDataset()\n", - "labels, nodes, edge_indices, edges, atoms = [dataset.obtain_property(prop) for prop in [\"graph_labels\", \"node_attributes\", \"edge_indices\", \"edge_attributes\", \"node_number\"]]\n", - "for i in range(len(labels)):\n", - " # edge_indices[i], edges[i] = add_self_loops_to_edge_indices(edge_indices[i], np.expand_dims(edges[i],axis=-1))\n", - " edges[i] = np.expand_dims(edges[i], axis=-1).astype(np.float32)# Make edge feature dimension\n", - "for i in range(len(labels)):\n", - " nodes[i] = np.array(\n", - " np.expand_dims(nodes[i],axis=-1) == np.array([[ 1, 3, 6, 7, 8, 9, 11, 15, 16, 17, 19, 20, 35, 53]])\n", - " , dtype=\"int\") # Make One-Hot encoding\n", - "\n", - "# Train Test split\n", - "labels_train, labels_test, nodes_train, nodes_test, edges_train, edges_test, edge_indices_train, edge_indices_test = train_test_split(\n", - " labels, nodes, edges, edge_indices, train_size=0.8, random_state=1)\n", - "\n", - "# Convert to tf.RaggedTensor or tf.tensor\n", - "# a copy of the data is generated by ragged_tensor_from_nested_numpy()\n", - "nodes_train, edges_train, edge_indices_train = ragged_tensor_from_nested_numpy(\n", - " nodes_train), ragged_tensor_from_nested_numpy(edges_train), ragged_tensor_from_nested_numpy(\n", - " edge_indices_train)\n", - "\n", - "nodes_test, edges_test, edge_indices_test = ragged_tensor_from_nested_numpy(\n", - " nodes_test), ragged_tensor_from_nested_numpy(edges_test), ragged_tensor_from_nested_numpy(\n", - " edge_indices_test)\n", - "\n", - "xtrain = nodes_train, edges_train, edge_indices_train\n", - "xtest = nodes_test, edges_test, edge_indices_test\n", - "ytrain = np.expand_dims(labels_train, axis=-1)\n", - "ytest = np.expand_dims(labels_test, axis=-1)\n", + "dataset.map_list(method=\"count_nodes_and_edges\")\n", + "for i in range(len(dataset)):\n", + " # Make edge feature dimension\n", + " dataset[i][\"edge_attributes\"] = np.expand_dims(dataset[i][\"edge_attributes\"], axis=-1).astype(np.float32)\n", + " # Make One-Hot encoding\n", + " dataset[i][\"node_attributes\"] = np.array(np.expand_dims(dataset[i][\"node_attributes\"] ,axis=-1) == np.array(\n", + " [[ 1, 3, 6, 7, 8, 9, 11, 15, 16, 17, 19, 20, 35, 53]]), dtype=\"int\") \n", + "train_indices, test_indices = train_test_split(np.arange(len(dataset)), train_size=0.8, random_state=1)\n", + "dataset_train, dataset_test = dataset[train_indices], dataset[test_indices]\n", + "xtrain = dataset_train.tensor(model_inputs)\n", + "xtest = dataset_test.tensor(model_inputs)\n", + "ytrain = dataset_train.tensor({\"name\": \"graph_labels\"})\n", + "ytest = dataset_test.tensor({\"name\": \"graph_labels\"})\n", "print([x.shape for x in xtrain])\n", "print([x.shape for x in xtest])\n", "print(ytrain.shape, ytest.shape)" @@ -185,7 +175,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "c5d0bb96", "metadata": {}, "outputs": [ @@ -193,417 +183,192 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:kgcnn.model.utils:Updated model kwargs:\n", - "INFO:kgcnn.model.utils:{'name': 'GCN', 'inputs': [{'shape': (None, 14), 'name': 'node_attributes', 'dtype': 'float32', 'ragged': True}, {'shape': (None, 1), 'name': 'edge_attributes', 'dtype': 'float32', 'ragged': True}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64', 'ragged': True}], 'input_embedding': {'node': {'input_dim': 55, 'output_dim': 64}, 'edge': {'input_dim': 10, 'output_dim': 64}}, 'gcn_args': {'units': 64, 'use_bias': True, 'activation': 'relu', 'pooling_method': 'mean', 'is_sorted': False, 'has_unconnected': True}, 'depth': 3, 'verbose': 10, 'output_embedding': 'graph', 'output_to_tensor': True, 'output_mlp': {'use_bias': [True, True, False], 'units': [140, 70, 1], 'activation': ['relu', 'relu', 'sigmoid']}}\n", - "INFO:kgcnn.model.utils:Updated model kwargs:\n", - "INFO:kgcnn.model.utils:{'name': 'GCN_weighted', 'inputs': [{'shape': (None, 14), 'name': 'node_attributes', 'dtype': 'float32', 'ragged': True}, {'shape': (None, 1), 'name': 'edge_attributes', 'dtype': 'float32', 'ragged': True}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64', 'ragged': True}, {'shape': (None, 1), 'name': 'node_weights', 'dtype': 'float32', 'ragged': True}], 'input_embedding': {'node': {'input_dim': 55, 'output_dim': 64}, 'edge': {'input_dim': 10, 'output_dim': 64}}, 'gcn_args': {'units': 64, 'use_bias': True, 'activation': 'relu', 'pooling_method': 'mean'}, 'depth': 3, 'verbose': 10, 'output_embedding': 'graph', 'output_to_tensor': True, 'output_mlp': {'use_bias': [True, True, False], 'units': [140, 70, 1], 'activation': ['relu', 'relu', 'sigmoid']}}\n" + "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'GCN', 'inputs': [{'shape': (None, 14), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 1), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'input_embedding': None, 'cast_disjoint_kwargs': {}, 'input_node_embedding': {'input_dim': 55, 'output_dim': 64}, 'input_edge_embedding': {'input_dim': 10, 'output_dim': 64}, 'gcn_args': {'units': 64, 'use_bias': True, 'activation': 'relu', 'pooling_method': 'mean'}, 'depth': 3, 'verbose': 10, 'node_pooling_args': {'pooling_method': 'scatter_sum'}, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_mlp': {'use_bias': [True, True, False], 'units': [140, 70, 1], 'activation': ['relu', 'relu', 'sigmoid']}, 'output_scaling': None}'.\n", + "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'GCN_weighted', 'inputs': [{'shape': (None, 14), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 1), 'name': 'node_weights', 'dtype': 'float32'}, {'shape': (None, 1), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'input_embedding': None, 'cast_disjoint_kwargs': {}, 'input_node_embedding': {'input_dim': 55, 'output_dim': 64}, 'input_edge_embedding': {'input_dim': 10, 'output_dim': 64}, 'gcn_args': {'units': 64, 'use_bias': True, 'activation': 'relu', 'pooling_method': 'mean'}, 'depth': 3, 'verbose': 10, 'node_pooling_args': {'pooling_method': 'scatter_sum'}, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_mlp': {'use_bias': [True, True, False], 'units': [140, 70, 1], 'activation': ['relu', 'relu', 'sigmoid']}, 'output_scaling': None}'.\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"model\"\n", - "__________________________________________________________________________________________________\n", - " Layer (type) Output Shape Param # Connected to \n", - "==================================================================================================\n", - " node_attributes (InputLayer) [(None, None, 14)] 0 [] \n", - " \n", - " optional_input_embedding (Opti (None, None, 14) 0 ['node_attributes[0][0]'] \n", - " onalInputEmbedding) \n", - " \n", - " edge_attributes (InputLayer) [(None, None, 1)] 0 [] \n", - " \n", - " dense_embedding (DenseEmbeddin (None, None, 64) 960 ['optional_input_embedding[0][0]'\n", - " g) ] \n", - " \n", - " optional_input_embedding_1 (Op (None, None, 1) 0 ['edge_attributes[0][0]'] \n", - " tionalInputEmbedding) \n", - " \n", - " edge_indices (InputLayer) [(None, None, 2)] 0 [] \n", - " \n", - " gcn (GCN) (None, None, 64) 4160 ['dense_embedding[0][0]', \n", - " 'optional_input_embedding_1[0][0\n", - " ]', \n", - " 'edge_indices[0][0]'] \n", - " \n", - " gcn_1 (GCN) (None, None, 64) 4160 ['gcn[0][0]', \n", - " 'optional_input_embedding_1[0][0\n", - " ]', \n", - " 'edge_indices[0][0]'] \n", - " \n", - " gcn_2 (GCN) (None, None, 64) 4160 ['gcn_1[0][0]', \n", - " 'optional_input_embedding_1[0][0\n", - " ]', \n", - " 'edge_indices[0][0]'] \n", - " \n", - " pooling_embedding (PoolingEmbe (None, 64) 0 ['gcn_2[0][0]'] \n", - " dding) \n", - " \n", - " mlp (MLP) (None, 1) 19040 ['pooling_embedding[0][0]'] \n", - " \n", - "==================================================================================================\n", - "Total params: 32,480\n", - "Trainable params: 32,480\n", - "Non-trainable params: 0\n", - "__________________________________________________________________________________________________\n", - "None\n", - "Epoch 1/150\n" - ] + "data": { + "text/html": [ + "
Model: \"GCN\"\n",
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\n" + ], + "text/plain": [ + "\u001b[1mModel: \"GCN\"\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\keras\\optimizers\\optimizer_v2\\adam.py:110: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n", - " super(Adam, self).__init__(name, **kwargs)\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn_2/pooling_weighted_local_edges_2/Reshape_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/model/gcn_2/pooling_weighted_local_edges_2/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn_2/pooling_weighted_local_edges_2/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn_2/gather_nodes_outgoing_2/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/model/gcn_2/gather_nodes_outgoing_2/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn_2/gather_nodes_outgoing_2/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn_1/pooling_weighted_local_edges_1/Reshape_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/model/gcn_1/pooling_weighted_local_edges_1/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn_1/pooling_weighted_local_edges_1/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn_1/gather_nodes_outgoing_1/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/model/gcn_1/gather_nodes_outgoing_1/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn_1/gather_nodes_outgoing_1/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn/pooling_weighted_local_edges/Reshape_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/model/gcn/pooling_weighted_local_edges/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn/pooling_weighted_local_edges/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn/gather_nodes_outgoing/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/model/gcn/gather_nodes_outgoing/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn/gather_nodes_outgoing/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n" - ] + "data": { + "text/html": [ + "
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+       "┃ Layer (type)                  ┃ Output Shape              ┃     Param # ┃ Connected to                   ┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
+       "│ node_attributes (InputLayer)  │ (None, None, 14)          │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ total_nodes (InputLayer)      │ (None)                    │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ edge_indices (InputLayer)     │ (None, None, 2)           │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ total_edges (InputLayer)      │ (None)                    │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ cast_batched_attributes_to_d… │ [(None, 14), (None),      │           0 │ node_attributes[0][0],         │\n",
+       "│ (CastBatchedAttributesToDisj… │ (None), (None)]           │             │ total_nodes[0][0]              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ edge_attributes (InputLayer)  │ (None, None, 1)           │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ cast_batched_indices_to_disj… │ [(None, 14), (2, None),   │           0 │ node_attributes[0][0],         │\n",
+       "│ (CastBatchedIndicesToDisjoin… │ (None), (None), (None),   │             │ edge_indices[0][0],            │\n",
+       "│                               │ (None), (None), (None)]   │             │ total_nodes[0][0],             │\n",
+       "│                               │                           │             │ total_edges[0][0]              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ dense (Dense)                 │ (None, 64)                │         960 │ cast_batched_attributes_to_di… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ cast_batched_attributes_to_d… │ [(None, 1), (None),       │           0 │ edge_attributes[0][0],         │\n",
+       "│ (CastBatchedAttributesToDisj… │ (None), (None)]           │             │ total_edges[0][0]              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ gcn (GCN)                     │ (None, 64)                │       4,160 │ dense[0][0],                   │\n",
+       "│                               │                           │             │ cast_batched_attributes_to_di… │\n",
+       "│                               │                           │             │ cast_batched_indices_to_disjo… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ gcn_1 (GCN)                   │ (None, 64)                │       4,160 │ gcn[0][0],                     │\n",
+       "│                               │                           │             │ cast_batched_attributes_to_di… │\n",
+       "│                               │                           │             │ cast_batched_indices_to_disjo… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ gcn_2 (GCN)                   │ (None, 64)                │       4,160 │ gcn_1[0][0],                   │\n",
+       "│                               │                           │             │ cast_batched_attributes_to_di… │\n",
+       "│                               │                           │             │ cast_batched_indices_to_disjo… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ pooling_nodes (PoolingNodes)  │ (None, 64)                │           0 │ cast_batched_indices_to_disjo… │\n",
+       "│                               │                           │             │ gcn_2[0][0],                   │\n",
+       "│                               │                           │             │ cast_batched_indices_to_disjo… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ mlp (MLP)                     │ (None, 1)                 │      19,040 │ pooling_nodes[0][0]            │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ cast_disjoint_to_batched_gra… │ (None, 1)                 │           0 │ mlp[0][0]                      │\n",
+       "│ (CastDisjointToBatchedGraphS… │                           │             │                                │\n",
+       "└───────────────────────────────┴───────────────────────────┴─────────────┴────────────────────────────────┘\n",
+       "
\n" + ], + "text/plain": [ + "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n", + "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n", + "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n", + "│ node_attributes (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ total_nodes (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ edge_indices (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ total_edges (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), │ \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)] │ │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ edge_attributes (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ cast_batched_indices_to_disj… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m), (\u001b[38;5;34m2\u001b[0m, \u001b[38;5;45mNone\u001b[0m), │ \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ (\u001b[38;5;33mCastBatchedIndicesToDisjoin…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), │ │ edge_indices[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)] │ │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m960\u001b[0m │ cast_batched_attributes_to_di… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), │ \u001b[38;5;34m0\u001b[0m │ edge_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)] │ │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ gcn (\u001b[38;5;33mGCN\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ cast_batched_attributes_to_di… │\n", + "│ │ │ │ cast_batched_indices_to_disjo… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ gcn_1 (\u001b[38;5;33mGCN\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │ gcn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ cast_batched_attributes_to_di… │\n", + "│ │ │ │ cast_batched_indices_to_disjo… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ gcn_2 (\u001b[38;5;33mGCN\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │ gcn_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ cast_batched_attributes_to_di… │\n", + "│ │ │ │ cast_batched_indices_to_disjo… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ pooling_nodes (\u001b[38;5;33mPoolingNodes\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ cast_batched_indices_to_disjo… │\n", + "│ │ │ │ gcn_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ cast_batched_indices_to_disjo… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ mlp (\u001b[38;5;33mMLP\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m19,040\u001b[0m │ pooling_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ cast_disjoint_to_batched_gra… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ mlp[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mCastDisjointToBatchedGraphS…\u001b[0m │ │ │ │\n", + "└───────────────────────────────┴───────────────────────────┴─────────────┴────────────────────────────────┘\n" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "109/109 - 3s - loss: 0.6646 - accuracy: 0.5930 - lr: 0.0010 - 3s/epoch - 27ms/step\n", - "Epoch 2/150\n", - "109/109 - 1s - loss: 0.6196 - accuracy: 0.6757 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 3/150\n", - "109/109 - 1s - loss: 0.5929 - accuracy: 0.6901 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 4/150\n", - "109/109 - 1s - loss: 0.5846 - accuracy: 0.6979 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 5/150\n", - "109/109 - 1s - loss: 0.5589 - accuracy: 0.7166 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 6/150\n", - "109/109 - 1s - loss: 0.5579 - accuracy: 0.7143 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 7/150\n", - "109/109 - 1s - loss: 0.5348 - accuracy: 0.7417 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 8/150\n", - "109/109 - 1s - loss: 0.5208 - accuracy: 0.7443 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 9/150\n", - "109/109 - 1s - loss: 0.5129 - accuracy: 0.7515 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 10/150\n", - "109/109 - 2s - loss: 0.5082 - accuracy: 0.7440 - val_loss: 0.5159 - val_accuracy: 0.7488 - lr: 0.0010 - 2s/epoch - 16ms/step\n", - "Epoch 11/150\n", - "109/109 - 1s - loss: 0.5066 - accuracy: 0.7481 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 12/150\n", - "109/109 - 1s - loss: 0.5038 - accuracy: 0.7553 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 13/150\n", - "109/109 - 1s - loss: 0.4891 - accuracy: 0.7628 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 14/150\n", - "109/109 - 1s - loss: 0.5067 - accuracy: 0.7495 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 15/150\n", - "109/109 - 1s - loss: 0.4984 - accuracy: 0.7506 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 16/150\n", - "109/109 - 1s - loss: 0.4821 - accuracy: 0.7616 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 17/150\n", - "109/109 - 1s - loss: 0.4867 - accuracy: 0.7671 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 18/150\n", - "109/109 - 1s - loss: 0.4731 - accuracy: 0.7656 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 19/150\n", - "109/109 - 1s - loss: 0.4676 - accuracy: 0.7726 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 20/150\n", - "109/109 - 2s - loss: 0.4621 - accuracy: 0.7749 - val_loss: 0.4869 - val_accuracy: 0.7684 - lr: 0.0010 - 2s/epoch - 15ms/step\n", - "Epoch 21/150\n", - "109/109 - 1s - loss: 0.4554 - accuracy: 0.7801 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 22/150\n", - "109/109 - 1s - loss: 0.4632 - accuracy: 0.7731 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 23/150\n", - "109/109 - 1s - loss: 0.4597 - accuracy: 0.7821 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 24/150\n", - "109/109 - 1s - loss: 0.4483 - accuracy: 0.7826 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 25/150\n", - "109/109 - 1s - loss: 0.4453 - accuracy: 0.7815 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 26/150\n", - "109/109 - 1s - loss: 0.4494 - accuracy: 0.7878 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 27/150\n", - "109/109 - 1s - loss: 0.4381 - accuracy: 0.7878 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 28/150\n", - "109/109 - 1s - loss: 0.4417 - accuracy: 0.7930 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 29/150\n", - "109/109 - 1s - loss: 0.4330 - accuracy: 0.7950 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 30/150\n", - "109/109 - 2s - loss: 0.4364 - accuracy: 0.7936 - val_loss: 0.4916 - val_accuracy: 0.7719 - lr: 0.0010 - 2s/epoch - 15ms/step\n", - "Epoch 31/150\n", - "109/109 - 1s - loss: 0.4344 - accuracy: 0.7933 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 32/150\n", - "109/109 - 1s - loss: 0.4336 - accuracy: 0.7933 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 33/150\n", - "109/109 - 1s - loss: 0.4310 - accuracy: 0.8005 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 34/150\n", - "109/109 - 1s - loss: 0.4346 - accuracy: 0.7939 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 35/150\n", - "109/109 - 1s - loss: 0.4314 - accuracy: 0.7988 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 36/150\n", - "109/109 - 1s - loss: 0.4118 - accuracy: 0.8054 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 37/150\n", - "109/109 - 1s - loss: 0.4076 - accuracy: 0.8103 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 38/150\n", - "109/109 - 1s - loss: 0.4100 - accuracy: 0.8037 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 39/150\n", - "109/109 - 1s - loss: 0.4165 - accuracy: 0.7976 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 40/150\n", - "109/109 - 1s - loss: 0.4086 - accuracy: 0.7997 - val_loss: 0.4902 - val_accuracy: 0.7834 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 41/150\n", - "109/109 - 1s - loss: 0.4071 - accuracy: 0.8048 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 42/150\n", - "109/109 - 1s - loss: 0.4001 - accuracy: 0.8146 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 43/150\n", - "109/109 - 1s - loss: 0.3972 - accuracy: 0.8118 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 44/150\n", - "109/109 - 1s - loss: 0.3898 - accuracy: 0.8201 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 45/150\n", - "109/109 - 1s - loss: 0.3856 - accuracy: 0.8195 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 46/150\n", - "109/109 - 1s - loss: 0.3932 - accuracy: 0.8190 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 47/150\n", - "109/109 - 1s - loss: 0.3852 - accuracy: 0.8181 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 48/150\n", - "109/109 - 1s - loss: 0.3829 - accuracy: 0.8175 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 49/150\n", - "109/109 - 1s - loss: 0.3896 - accuracy: 0.8141 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 50/150\n", - "109/109 - 1s - loss: 0.3827 - accuracy: 0.8230 - val_loss: 0.4867 - val_accuracy: 0.7684 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 51/150\n", - "109/109 - 1s - loss: 0.3744 - accuracy: 0.8279 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 52/150\n", - "109/109 - 1s - loss: 0.3688 - accuracy: 0.8363 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 53/150\n", - "109/109 - 1s - loss: 0.3916 - accuracy: 0.8236 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 54/150\n", - "109/109 - 1s - loss: 0.3708 - accuracy: 0.8322 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 55/150\n", - "109/109 - 1s - loss: 0.3650 - accuracy: 0.8319 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 56/150\n", - "109/109 - 1s - loss: 0.3630 - accuracy: 0.8383 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 57/150\n", - "109/109 - 1s - loss: 0.3622 - accuracy: 0.8380 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 58/150\n", - "109/109 - 1s - loss: 0.3592 - accuracy: 0.8374 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 59/150\n", - "109/109 - 1s - loss: 0.3577 - accuracy: 0.8354 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 60/150\n", - "109/109 - 1s - loss: 0.3453 - accuracy: 0.8415 - val_loss: 0.4878 - val_accuracy: 0.7765 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 61/150\n", - "109/109 - 1s - loss: 0.3459 - accuracy: 0.8429 - lr: 0.0010 - 1s/epoch - 10ms/step\n", - "Epoch 62/150\n", - "109/109 - 1s - loss: 0.3493 - 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"109/109 - 2s - loss: 0.2658 - accuracy: 0.8821 - val_loss: 0.5133 - val_accuracy: 0.8007 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 91/150\n", - "109/109 - 1s - loss: 0.2604 - accuracy: 0.8899 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 92/150\n", - "109/109 - 1s - loss: 0.2688 - accuracy: 0.8821 - lr: 0.0010 - 1s/epoch - 11ms/step\n", - "Epoch 93/150\n", - "109/109 - 1s - loss: 0.2530 - accuracy: 0.8882 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 94/150\n", - "109/109 - 1s - loss: 0.2506 - accuracy: 0.8942 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 95/150\n", - "109/109 - 1s - loss: 0.2503 - accuracy: 0.8931 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 96/150\n", - "109/109 - 1s - loss: 0.2771 - accuracy: 0.8838 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 97/150\n", - "109/109 - 1s - loss: 0.2599 - accuracy: 0.8890 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 98/150\n", - "109/109 - 1s - loss: 0.2601 - accuracy: 0.8873 - lr: 0.0010 - 1s/epoch - 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lr: 7.4800e-04 - 1s/epoch - 10ms/step\n", - "Epoch 116/150\n", - "109/109 - 1s - loss: 0.1814 - accuracy: 0.9219 - lr: 7.3000e-04 - 1s/epoch - 11ms/step\n", - "Epoch 117/150\n", - "109/109 - 1s - loss: 0.1829 - accuracy: 0.9253 - lr: 7.1200e-04 - 1s/epoch - 11ms/step\n", - "Epoch 118/150\n", - "109/109 - 1s - loss: 0.1737 - accuracy: 0.9262 - lr: 6.9400e-04 - 1s/epoch - 11ms/step\n", - "Epoch 119/150\n", - "109/109 - 1s - loss: 0.1784 - accuracy: 0.9239 - lr: 6.7600e-04 - 1s/epoch - 10ms/step\n", - "Epoch 120/150\n", - "109/109 - 1s - loss: 0.1691 - accuracy: 0.9279 - val_loss: 0.6974 - val_accuracy: 0.8007 - lr: 6.5800e-04 - 1s/epoch - 12ms/step\n", - "Epoch 121/150\n", - "109/109 - 1s - loss: 0.1706 - accuracy: 0.9288 - lr: 6.4000e-04 - 1s/epoch - 10ms/step\n", - "Epoch 122/150\n", - "109/109 - 1s - loss: 0.1557 - accuracy: 0.9360 - lr: 6.2200e-04 - 1s/epoch - 10ms/step\n", - "Epoch 123/150\n", - "109/109 - 1s - loss: 0.1611 - accuracy: 0.9334 - lr: 6.0400e-04 - 1s/epoch - 10ms/step\n", - "Epoch 124/150\n", - "109/109 - 1s - loss: 0.1469 - accuracy: 0.9426 - lr: 5.8600e-04 - 1s/epoch - 10ms/step\n", - "Epoch 125/150\n", - "109/109 - 1s - loss: 0.1480 - accuracy: 0.9377 - lr: 5.6800e-04 - 1s/epoch - 10ms/step\n", - "Epoch 126/150\n", - "109/109 - 1s - loss: 0.1476 - accuracy: 0.9383 - lr: 5.5000e-04 - 1s/epoch - 11ms/step\n", - "Epoch 127/150\n", - "109/109 - 1s - loss: 0.1452 - accuracy: 0.9403 - lr: 5.3200e-04 - 1s/epoch - 10ms/step\n", - "Epoch 128/150\n", - "109/109 - 1s - loss: 0.1371 - accuracy: 0.9418 - lr: 5.1400e-04 - 1s/epoch - 11ms/step\n", - "Epoch 129/150\n", - "109/109 - 1s - loss: 0.1331 - accuracy: 0.9481 - lr: 4.9600e-04 - 1s/epoch - 10ms/step\n", - "Epoch 130/150\n", - "109/109 - 1s - loss: 0.1303 - accuracy: 0.9490 - val_loss: 0.7498 - val_accuracy: 0.8076 - lr: 4.7800e-04 - 1s/epoch - 12ms/step\n", - "Epoch 131/150\n", - "109/109 - 1s - loss: 0.1318 - accuracy: 0.9467 - lr: 4.6000e-04 - 1s/epoch - 10ms/step\n", - "Epoch 132/150\n", - 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val_accuracy: 0.7903 - lr: 2.9800e-04 - 1s/epoch - 13ms/step\n", - "Epoch 141/150\n", - "109/109 - 1s - loss: 0.1046 - accuracy: 0.9611 - lr: 2.8000e-04 - 1s/epoch - 11ms/step\n", - "Epoch 142/150\n", - "109/109 - 1s - loss: 0.1002 - accuracy: 0.9608 - lr: 2.6200e-04 - 1s/epoch - 12ms/step\n", - "Epoch 143/150\n", - "109/109 - 1s - loss: 0.0987 - accuracy: 0.9663 - lr: 2.4400e-04 - 1s/epoch - 12ms/step\n", - "Epoch 144/150\n", - "109/109 - 1s - loss: 0.0976 - accuracy: 0.9645 - lr: 2.2600e-04 - 1s/epoch - 12ms/step\n", - "Epoch 145/150\n", - "109/109 - 1s - loss: 0.0951 - accuracy: 0.9648 - lr: 2.0800e-04 - 1s/epoch - 13ms/step\n", - "Epoch 146/150\n", - "109/109 - 1s - loss: 0.0928 - accuracy: 0.9657 - lr: 1.9000e-04 - 1s/epoch - 13ms/step\n", - "Epoch 147/150\n", - "109/109 - 1s - loss: 0.0905 - accuracy: 0.9692 - lr: 1.7200e-04 - 1s/epoch - 13ms/step\n", - "Epoch 148/150\n", - "109/109 - 1s - loss: 0.0907 - accuracy: 0.9683 - lr: 1.5400e-04 - 1s/epoch - 13ms/step\n", - "Epoch 149/150\n", - "109/109 - 1s - loss: 0.0870 - accuracy: 0.9706 - lr: 1.3600e-04 - 1s/epoch - 13ms/step\n", - "Epoch 150/150\n", - "109/109 - 2s - loss: 0.0857 - accuracy: 0.9692 - val_loss: 0.9197 - val_accuracy: 0.8076 - lr: 1.1800e-04 - 2s/epoch - 14ms/step\n", - "Print Time for taining: 275.671875\n" + "None\n", + "Print Time for taining: 388.046875\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "model_args = {\n", " 'name': \"GCN\",\n", - " 'inputs': [{'shape': (None, 14), 'name': \"node_attributes\", 'dtype': 'float32', 'ragged': True},\n", - " {'shape': (None, 1), 'name': \"edge_attributes\", 'dtype': 'float32', 'ragged': True},\n", - " {'shape': (None, 2), 'name': \"edge_indices\", 'dtype': 'int64', 'ragged': True}],\n", - " 'input_embedding': {\"node\": {\"input_dim\": 55, \"output_dim\": 64},\n", - " \"edge\": {\"input_dim\": 10, \"output_dim\": 64}},\n", + " 'inputs': model_inputs,\n", + " 'input_edge_embedding': {\"input_dim\": 10, \"output_dim\": 64},\n", + " 'input_node_embedding': {\"input_dim\": 55, \"output_dim\": 64},\n", " 'gcn_args': {\"units\": 64, \"use_bias\": True, \"activation\": 'relu', \"pooling_method\": 'mean'},\n", " 'depth': 3, 'verbose': 10,\n", " 'output_embedding': 'graph',\n", @@ -612,12 +377,16 @@ "}\n", "model_args2 = {\n", " 'name': \"GCN_weighted\",\n", - " 'inputs': [{'shape': (None, 14), 'name': \"node_attributes\", 'dtype': 'float32', 'ragged': True},\n", - " {'shape': (None, 1), 'name': \"edge_attributes\", 'dtype': 'float32', 'ragged': True},\n", - " {'shape': (None, 2), 'name': \"edge_indices\", 'dtype': 'int64', 'ragged': True},\n", - " {'shape': (None, 1), 'name': \"node_weights\", 'dtype': 'float32', 'ragged': True}],\n", - " 'input_embedding': {\"node\": {\"input_dim\": 55, \"output_dim\": 64},\n", - " \"edge\": {\"input_dim\": 10, \"output_dim\": 64}},\n", + " 'inputs': [\n", + " {'shape': (None, 14), 'name': \"node_attributes\", 'dtype': 'float32'},\n", + " {'shape': (None, 1), 'name': \"node_weights\", 'dtype': 'float32'},\n", + " {'shape': (None, 1), 'name': \"edge_attributes\", 'dtype': 'float32'},\n", + " {'shape': (None, 2), 'name': \"edge_indices\", 'dtype': 'int64'},\n", + " {\"shape\": (), \"name\": \"total_nodes\", \"dtype\": \"int64\"},\n", + " {\"shape\": (), \"name\": \"total_edges\", \"dtype\": \"int64\"}\n", + " ],\n", + " 'input_edge_embedding': {\"input_dim\": 10, \"output_dim\": 64},\n", + " 'input_node_embedding': {\"input_dim\": 55, \"output_dim\": 64},\n", " 'gcn_args': {\"units\": 64, \"use_bias\": True, \"activation\": 'relu', \"pooling_method\": 'mean'},\n", " 'depth': 3, 'verbose': 10,\n", " 'output_embedding': 'graph',\n", @@ -634,7 +403,7 @@ "epostep = 10\n", "\n", "# Compile model with optimizer and loss\n", - "optimizer = tf.keras.optimizers.Adam(lr=learning_rate_start)\n", + "optimizer = ks.optimizers.Adam(learning_rate=learning_rate_start)\n", "cbks = LinearLearningRateScheduler(learning_rate_start, learning_rate_stop, epomin, epo)\n", "model.compile(loss='binary_crossentropy',\n", " optimizer=optimizer,\n", @@ -649,7 +418,7 @@ " callbacks=[cbks],\n", " validation_freq=epostep,\n", " validation_data=(xtest, ytest),\n", - " verbose=2\n", + " verbose=0\n", " )\n", "stop = time.process_time()\n", "print(\"Print Time for taining: \", stop - start)\n", @@ -682,7 +451,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "8a26bc91", "metadata": {}, "outputs": [], @@ -696,34 +465,38 @@ " self.gnn_model = gnn_model\n", "\n", " def predict(self, gnn_input, masking_info=None):\n", - " node_input, edge_input, edge_index_input = gnn_input\n", - " node_weights = tf.RaggedTensor.from_row_splits(tf.expand_dims(tf.ones_like(node_input.values)[:,0],axis=-1), node_input.row_splits)\n", - " return self.gnn_model([node_input, edge_input, edge_index_input, node_weights], training=False)[0]\n", + " gnn_input = [ops.convert_to_tensor(x) for x in gnn_input]\n", + " node_input, edge_input, edge_index_input, node_len, edge_len = gnn_input\n", + " node_weights = ops.expand_dims(ops.ones(ops.shape(node_input)[:2], dtype=node_input.dtype), axis=-1)\n", + " return self.gnn_model([node_input, node_weights, edge_input, edge_index_input, node_len, edge_len], training=False)[0]\n", "\n", " def masked_predict(self, gnn_input, edge_mask, feature_mask, node_mask, training=False):\n", - " node_input, edge_input, edge_index_input = gnn_input\n", + " node_input, edge_input, edge_index_input, node_len, edge_len = gnn_input\n", + "\n", + " node_len = ops.convert_to_tensor(node_len)\n", + " edge_len = ops.convert_to_tensor(edge_len)\n", + " edge_index_input = ops.convert_to_tensor(edge_index_input)\n", + " \n", + " masked_edge_input = ops.convert_to_tensor(edge_input)[0] * ops.cast(edge_mask, dtype=\"float32\")\n", + " masked_edge_input = ops.expand_dims(masked_edge_input, axis=0) # dummy batch dim\n", + " \n", + " masked_feature_input = ops.convert_to_tensor(node_input) * ops.cast(ops.transpose(feature_mask), dtype=\"float32\")\n", "\n", - " masked_edge_input = edge_mask * edge_input[0]\n", - " masked_edge_input = tf.RaggedTensor.from_row_splits(masked_edge_input, [0, len(masked_edge_input)])\n", - " masked_feature_input = tf.ragged.map_flat_values(tf.math.multiply, tf.dtypes.cast(node_input, tf.float32),\n", - " tf.transpose(feature_mask))\n", - " node_weights = tf.RaggedTensor.from_row_splits(tf.sigmoid(node_mask), np.array([0, len(node_mask)],dtype=np.int))\n", + " node_weights = ops.sigmoid(ops.cast(ops.convert_to_tensor(node_mask), dtype=\"float32\"))\n", + " node_weights = ops.expand_dims(node_weights, axis=0) # dummy batch dim\n", "\n", - " masked_pred = self.gnn_model([masked_feature_input, masked_edge_input, edge_index_input, node_weights],\n", + " masked_pred = self.gnn_model([masked_feature_input, node_weights, masked_edge_input, edge_index_input, node_len, edge_len],\n", " training=training)[0]\n", " return masked_pred\n", "\n", " def get_number_of_nodes(self, gnn_input):\n", - " node_input, _, _ = gnn_input\n", - " return node_input[0].shape[0]\n", + " return gnn_input[0][0].shape[0]\n", "\n", " def get_number_of_node_features(self, gnn_input):\n", - " node_input, _, _ = gnn_input\n", - " return node_input.shape[2]\n", + " return gnn_input[0].shape[2]\n", "\n", " def get_number_of_edges(self, gnn_input):\n", - " _, edge_input, _ = gnn_input\n", - " return edge_input[0].shape[0]\n", + " return gnn_input[1][0].shape[0]\n", "\n", " def get_explanation(self, gnn_input, edge_mask, feature_mask, node_mask):\n", " edge_relevance = np.array(edge_mask[:, 0])\n", @@ -732,9 +505,13 @@ " features = np.array(gnn_input[0][0])\n", " edges = np.array(gnn_input[2][0])\n", " graph = nx.Graph()\n", - " for i, f in enumerate(features):\n", + " num_nodes = gnn_input[3][0]\n", + " num_edges = gnn_input[4][0]\n", + " for i in range(num_nodes):\n", + " f = features[i]\n", " graph.add_node(i, features=f, relevance=node_relevance[i])\n", - " for i, e in enumerate(edges):\n", + " for i in range(num_edges):\n", + " e = edges[i]\n", " if edge_relevance is None:\n", " graph.add_edge(e[0], e[1])\n", " else:\n", @@ -768,7 +545,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "ee390f52", "metadata": {}, "outputs": [], @@ -781,7 +558,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "18893e01", "metadata": {}, "outputs": [ @@ -789,13 +566,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "28/28 [==============================] - 1s 7ms/step\n", - "[652 63 333 68 689 35 848 500 862 534 466 602 537 103 775 87 859 709\n", - " 379 90 840 554 126 264 832 248 387 543 635 282 595 412 85 143 334 218\n", - " 138 761 653 41 588 116 26 805 55 367 856 312 324 36 347 809 256 284\n", - " 779 746 187 233 467 407 551 235 811 383 70 567 808 503 512 108 762 421\n", - " 451 0 413 34 461 806 835 307 118 552 249 737 706 152 192 409 830 699\n", - " 515 212 524 16 202 776 736 302 99 15]\n" + "\u001b[1m28/28\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 29ms/step \n", + "[595 554 367 500 537 417 709 832 819 635 379 134 840 248 691 260 805 70\n", + " 281 443 313 55 809 779 312 35 297 90 649 41 1 276 170 550 419 867\n", + " 633 723 218 98 264 811 410 43 466 15 387 85 44 408 353 324 237 59\n", + " 256 859 790 347 584 334 461 848 317 699 103 36 530 196 233 597 596 857\n", + " 611 615 733 292 369 102 63 808 602 715 418 67 68 167 524 643 684 316\n", + " 9 497 422 534 273 143 388 559 528 16]\n" ] } ], @@ -818,30 +595,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "id": "b8df599b", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\keras\\optimizers\\optimizer_v2\\adam.py:110: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n", - " super(Adam, self).__init__(name, **kwargs)\n", - "C:\\Users\\patri\\AppData\\Local\\Temp\\__autograph_generated_file41un9pkp.py:14: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n", - "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n", - " node_weights = ag__.converted_call(ag__.ld(tf).RaggedTensor.from_row_splits, (ag__.converted_call(ag__.ld(tf).sigmoid, (ag__.ld(node_mask),), None, fscope), ag__.converted_call(ag__.ld(np).array, ([0, ag__.converted_call(ag__.ld(len), (ag__.ld(node_mask),), None, fscope)],), dict(dtype=ag__.ld(np).int), fscope)), None, fscope)\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/gnn_explainer_optimizer/model_1/gcn_5/gather_nodes_outgoing_5/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/gnn_explainer_optimizer/model_1/gcn_5/gather_nodes_outgoing_5/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/gnn_explainer_optimizer/model_1/gcn_5/gather_nodes_outgoing_5/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/gnn_explainer_optimizer/model_1/gcn_4/gather_nodes_outgoing_4/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/gnn_explainer_optimizer/model_1/gcn_4/gather_nodes_outgoing_4/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/gnn_explainer_optimizer/model_1/gcn_4/gather_nodes_outgoing_4/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/gnn_explainer_optimizer/model_1/gcn_3/gather_nodes_outgoing_3/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/gnn_explainer_optimizer/model_1/gcn_3/gather_nodes_outgoing_3/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/gnn_explainer_optimizer/model_1/gcn_3/gather_nodes_outgoing_3/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n" - ] - } - ], + "outputs": [], "source": [ - "compile_options = {'loss': 'binary_crossentropy', 'optimizer': tf.keras.optimizers.Adam(lr=0.1)}\n", + "compile_options = {'loss': 'binary_crossentropy', 'optimizer': ks.optimizers.Adam(learning_rate=0.1)}\n", "fit_options={'epochs': 100, 'batch_size': 1, 'verbose': 0}\n", "gnnexplaineroptimizer_options = {'edge_mask_loss_weight': 0.005,\n", " 'edge_mask_norm_ord': 1,\n", @@ -856,19 +615,19 @@ " gnnexplaineroptimizer_options=gnnexplaineroptimizer_options)\n", "\n", "explainer.explain([tensor[instance_index:instance_index+1] for tensor in xtest])\n", - "#explainer.explain([tensor[instance_index:instance_index+1] for tensor in xtest], output_to_explain=tf.Variable([0.]))" + "#explainer.explain([tensor[instance_index:instance_index+1] for tensor in xtest], output_to_explain=np.array([0.]))" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "id": "ad048b6f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -876,9 +635,9 @@ }, { "data": { - "image/png": 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\n", 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", 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" ] }, "metadata": {}, @@ -938,9 +682,9 @@ }, { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -949,7 +693,7 @@ ], "source": [ "plt.figure()\n", - "explainer.explain([tensor[instance_index:instance_index+1] for tensor in xtest], output_to_explain=tf.Variable([0.]))\n", + "explainer.explain([tensor[instance_index:instance_index+1] for tensor in xtest], output_to_explain=np.array([0.]))\n", "explainer.present_explanation(explainer.get_explanation(), threshold=0.5)\n", "plt.show()" ] diff --git a/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_3.ipynb b/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_3.ipynb index 4a5b6b8c..0b163b79 100644 --- a/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_3.ipynb +++ b/notebooks/graph_explanation/explain_GNNExplain_mutagenicity_3.ipynb @@ -5,9 +5,18 @@ "execution_count": 1, "id": "a3ec241b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Using TensorFlow backend\n" + ] + } + ], "source": [ - "import tensorflow as tf\n", + "import keras_core as ks\n", + "from keras_core import ops\n", "from sklearn.model_selection import train_test_split\n", "# from sklearn.cluster import DBSCAN\n", "import matplotlib.pyplot as plt\n", @@ -16,9 +25,7 @@ "import time\n", "\n", "from kgcnn.literature.GNNExplain import GNNExplainer, GNNInterface\n", - "# from kgcnn.utils.adj import precompute_adjacency_scaled, convert_scaled_adjacency_to_list, add_self_loops_to_edge_indices\n", "from kgcnn.literature.GCN import make_model\n", - "from kgcnn.data.utils import ragged_tensor_from_nested_numpy\n", "from kgcnn.training.scheduler import LinearLearningRateScheduler\n", "\n", "from scipy.cluster.hierarchy import dendrogram, linkage\n", @@ -39,6 +46,22 @@ { "cell_type": "code", "execution_count": 2, + "id": "b18458c3-90ba-4d72-92e8-8be08133e705", + "metadata": {}, + "outputs": [], + "source": [ + "model_inputs = [\n", + " {'shape': (None, 14), 'name': \"node_attributes\", 'dtype': 'float32'},\n", + " {'shape': (None, 1), 'name': \"edge_attributes\", 'dtype': 'float32'},\n", + " {'shape': (None, 2), 'name': \"edge_indices\", 'dtype': 'int64'},\n", + " {\"shape\": (), \"name\": \"total_nodes\", \"dtype\": \"int64\"},\n", + " {\"shape\": (), \"name\": \"total_edges\", \"dtype\": \"int64\"}\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "id": "c762f67d", "metadata": {}, "outputs": [ @@ -115,41 +138,27 @@ "name": "stdout", "output_type": "stream", "text": [ - "[TensorShape([3469, None, 14]), TensorShape([3469, None, 1]), TensorShape([3469, None, 2])]\n", - "[TensorShape([868, None, 14]), TensorShape([868, None, 1]), TensorShape([868, None, 2])]\n", - "(3469, 1, 1) (868, 1, 1)\n" + "[(3469, 103, 14), (3469, 216, 1), (3469, 216, 2), (3469,), (3469,)]\n", + "[(868, 99, 14), (868, 224, 1), (868, 224, 2), (868,), (868,)]\n", + "(3469, 1) (868, 1)\n" ] } ], "source": [ "dataset = MutagenicityDataset()\n", - "labels, nodes, edge_indices, edges, atoms = [dataset.obtain_property(prop) for prop in [\"graph_labels\", \"node_attributes\", \"edge_indices\", \"edge_attributes\", \"node_number\"]]\n", - "for i in range(len(labels)):\n", - " # edge_indices[i], edges[i] = add_self_loops_to_edge_indices(edge_indices[i], np.expand_dims(edges[i],axis=-1))\n", - " edges[i] = np.expand_dims(edges[i], axis=-1).astype(np.float32) # Make edge feature dimension\n", - "for i in range(len(labels)):\n", - " nodes[i] = np.array(\n", - " np.expand_dims(nodes[i],axis=-1) == np.array([[ 1, 3, 6, 7, 8, 9, 11, 15, 16, 17, 19, 20, 35, 53]])\n", - " , dtype=\"int\") # Make One-Hot encoding\n", - "\n", - "# Train Test split\n", - "labels_train, labels_test, nodes_train, nodes_test, edges_train, edges_test, edge_indices_train, edge_indices_test = train_test_split(\n", - " labels, nodes, edges, edge_indices, train_size=0.8, random_state=1)\n", - "\n", - "# Convert to tf.RaggedTensor or tf.tensor\n", - "# a copy of the data is generated by ragged_tensor_from_nested_numpy()\n", - "nodes_train, edges_train, edge_indices_train = ragged_tensor_from_nested_numpy(\n", - " nodes_train), ragged_tensor_from_nested_numpy(edges_train), ragged_tensor_from_nested_numpy(\n", - " edge_indices_train)\n", - "\n", - "nodes_test, edges_test, edge_indices_test = ragged_tensor_from_nested_numpy(\n", - " nodes_test), ragged_tensor_from_nested_numpy(edges_test), ragged_tensor_from_nested_numpy(\n", - " edge_indices_test)\n", - "\n", - "xtrain = nodes_train, edges_train, edge_indices_train\n", - "xtest = nodes_test, edges_test, edge_indices_test\n", - "ytrain = np.expand_dims(labels_train, axis=-1)\n", - "ytest = np.expand_dims(labels_test, axis=-1)\n", + "dataset.map_list(method=\"count_nodes_and_edges\")\n", + "for i in range(len(dataset)):\n", + " # Make edge feature dimension\n", + " dataset[i][\"edge_attributes\"] = np.expand_dims(dataset[i][\"edge_attributes\"], axis=-1).astype(np.float32)\n", + " # Make One-Hot encoding\n", + " dataset[i][\"node_attributes\"] = np.array(np.expand_dims(dataset[i][\"node_attributes\"] ,axis=-1) == np.array(\n", + " [[ 1, 3, 6, 7, 8, 9, 11, 15, 16, 17, 19, 20, 35, 53]]), dtype=\"int\") \n", + "train_indices, test_indices = train_test_split(np.arange(len(dataset)), train_size=0.8, random_state=1)\n", + "dataset_train, dataset_test = dataset[train_indices], dataset[test_indices]\n", + "xtrain = dataset_train.tensor(model_inputs)\n", + "xtest = dataset_test.tensor(model_inputs)\n", + "ytrain = dataset_train.tensor({\"name\": \"graph_labels\"})\n", + "ytest = dataset_test.tensor({\"name\": \"graph_labels\"})\n", "print([x.shape for x in xtrain])\n", "print([x.shape for x in xtest])\n", "print(ytrain.shape, ytest.shape)" @@ -165,7 +174,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "0ead48b1", "metadata": {}, "outputs": [ @@ -173,420 +182,197 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:kgcnn.model.utils:Updated model kwargs:\n", - "INFO:kgcnn.model.utils:{'name': 'GCN', 'inputs': [{'shape': (None, 14), 'name': 'node_attributes', 'dtype': 'float32', 'ragged': True}, {'shape': (None, 1), 'name': 'edge_attributes', 'dtype': 'float32', 'ragged': True}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64', 'ragged': True}], 'input_embedding': {'node': {'input_dim': 55, 'output_dim': 64}, 'edge': {'input_dim': 10, 'output_dim': 64}}, 'gcn_args': {'units': 64, 'use_bias': True, 'activation': 'relu', 'pooling_method': 'mean', 'is_sorted': False, 'has_unconnected': True}, 'depth': 3, 'verbose': 1, 'output_embedding': 'graph', 'output_to_tensor': True, 'output_mlp': {'use_bias': [True, True, False], 'units': [140, 70, 1], 'activation': ['relu', 'relu', 'sigmoid']}}\n" + "INFO:kgcnn.models.utils:Updated model kwargs: '{'name': 'GCN', 'inputs': [{'shape': (None, 14), 'name': 'node_attributes', 'dtype': 'float32'}, {'shape': (None, 1), 'name': 'edge_attributes', 'dtype': 'float32'}, {'shape': (None, 2), 'name': 'edge_indices', 'dtype': 'int64'}, {'shape': (), 'name': 'total_nodes', 'dtype': 'int64'}, {'shape': (), 'name': 'total_edges', 'dtype': 'int64'}], 'input_tensor_type': 'padded', 'input_embedding': {'node': {'input_dim': 55, 'output_dim': 64}, 'edge': {'input_dim': 10, 'output_dim': 64}}, 'cast_disjoint_kwargs': {}, 'input_node_embedding': {'input_dim': 95, 'output_dim': 64}, 'input_edge_embedding': {'input_dim': 25, 'output_dim': 1}, 'gcn_args': {'units': 64, 'use_bias': True, 'activation': 'relu', 'pooling_method': 'mean'}, 'depth': 3, 'verbose': 1, 'node_pooling_args': {'pooling_method': 'scatter_sum'}, 'output_embedding': 'graph', 'output_to_tensor': None, 'output_tensor_type': 'padded', 'output_mlp': {'use_bias': [True, True, False], 'units': [140, 70, 1], 'activation': ['relu', 'relu', 'sigmoid']}, 'output_scaling': None}'.\n" ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"model\"\n", - "__________________________________________________________________________________________________\n", - " Layer (type) Output Shape Param # Connected to \n", - "==================================================================================================\n", - " node_attributes (InputLayer) [(None, None, 14)] 0 [] \n", - " \n", - " optional_input_embedding (Opti (None, None, 14) 0 ['node_attributes[0][0]'] \n", - " onalInputEmbedding) \n", - " \n", - " edge_attributes (InputLayer) [(None, None, 1)] 0 [] \n", - " \n", - " dense_embedding (DenseEmbeddin (None, None, 64) 960 ['optional_input_embedding[0][0]'\n", - " g) ] \n", - " \n", - " optional_input_embedding_1 (Op (None, None, 1) 0 ['edge_attributes[0][0]'] \n", - " tionalInputEmbedding) \n", - " \n", - " edge_indices (InputLayer) [(None, None, 2)] 0 [] \n", - " \n", - " gcn (GCN) (None, None, 64) 4160 ['dense_embedding[0][0]', \n", - " 'optional_input_embedding_1[0][0\n", - " ]', \n", - " 'edge_indices[0][0]'] \n", - " \n", - " gcn_1 (GCN) (None, None, 64) 4160 ['gcn[0][0]', \n", - " 'optional_input_embedding_1[0][0\n", - " ]', \n", - " 'edge_indices[0][0]'] \n", - " \n", - " gcn_2 (GCN) (None, None, 64) 4160 ['gcn_1[0][0]', \n", - " 'optional_input_embedding_1[0][0\n", - " ]', \n", - " 'edge_indices[0][0]'] \n", - " \n", - " pooling_embedding (PoolingEmbe (None, 64) 0 ['gcn_2[0][0]'] \n", - " dding) \n", - " \n", - " mlp (MLP) (None, 1) 19040 ['pooling_embedding[0][0]'] \n", - " \n", - "==================================================================================================\n", - "Total params: 32,480\n", - "Trainable params: 32,480\n", - "Non-trainable params: 0\n", - "__________________________________________________________________________________________________\n", - "None\n", - "Epoch 1/150\n" - ] + "data": { + "text/html": [ + "
Model: \"GCN\"\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1mModel: \"GCN\"\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\keras\\optimizers\\optimizer_v2\\adam.py:110: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n", - " super(Adam, self).__init__(name, **kwargs)\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn_2/pooling_weighted_local_edges_2/Reshape_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/model/gcn_2/pooling_weighted_local_edges_2/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn_2/pooling_weighted_local_edges_2/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn_2/gather_nodes_outgoing_2/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/model/gcn_2/gather_nodes_outgoing_2/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn_2/gather_nodes_outgoing_2/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn_1/pooling_weighted_local_edges_1/Reshape_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/model/gcn_1/pooling_weighted_local_edges_1/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn_1/pooling_weighted_local_edges_1/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn_1/gather_nodes_outgoing_1/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/model/gcn_1/gather_nodes_outgoing_1/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn_1/gather_nodes_outgoing_1/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn/pooling_weighted_local_edges/Reshape_1:0\", shape=(None,), dtype=int32), values=Tensor(\"gradient_tape/model/gcn/pooling_weighted_local_edges/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn/pooling_weighted_local_edges/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n", - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\tensorflow\\python\\framework\\indexed_slices.py:444: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor(\"gradient_tape/model/gcn/gather_nodes_outgoing/Reshape_1:0\", shape=(None,), dtype=int64), values=Tensor(\"gradient_tape/model/gcn/gather_nodes_outgoing/Reshape:0\", shape=(None, 64), dtype=float32), dense_shape=Tensor(\"gradient_tape/model/gcn/gather_nodes_outgoing/Cast:0\", shape=(2,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n" - ] + "data": { + "text/html": [ + "
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+       "┃ Layer (type)                  ┃ Output Shape              ┃     Param # ┃ Connected to                   ┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
+       "│ node_attributes (InputLayer)  │ (None, None, 14)          │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ total_nodes (InputLayer)      │ (None)                    │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ edge_indices (InputLayer)     │ (None, None, 2)           │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ total_edges (InputLayer)      │ (None)                    │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ cast_batched_attributes_to_d… │ [(None, 14), (None),      │           0 │ node_attributes[0][0],         │\n",
+       "│ (CastBatchedAttributesToDisj… │ (None), (None)]           │             │ total_nodes[0][0]              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ edge_attributes (InputLayer)  │ (None, None, 1)           │           0 │ -                              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ cast_batched_indices_to_disj… │ [(None, 14), (2, None),   │           0 │ node_attributes[0][0],         │\n",
+       "│ (CastBatchedIndicesToDisjoin… │ (None), (None), (None),   │             │ edge_indices[0][0],            │\n",
+       "│                               │ (None), (None), (None)]   │             │ total_nodes[0][0],             │\n",
+       "│                               │                           │             │ total_edges[0][0]              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ dense (Dense)                 │ (None, 64)                │         960 │ cast_batched_attributes_to_di… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ cast_batched_attributes_to_d… │ [(None, 1), (None),       │           0 │ edge_attributes[0][0],         │\n",
+       "│ (CastBatchedAttributesToDisj… │ (None), (None)]           │             │ total_edges[0][0]              │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ gcn (GCN)                     │ (None, 64)                │       4,160 │ dense[0][0],                   │\n",
+       "│                               │                           │             │ cast_batched_attributes_to_di… │\n",
+       "│                               │                           │             │ cast_batched_indices_to_disjo… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ gcn_1 (GCN)                   │ (None, 64)                │       4,160 │ gcn[0][0],                     │\n",
+       "│                               │                           │             │ cast_batched_attributes_to_di… │\n",
+       "│                               │                           │             │ cast_batched_indices_to_disjo… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ gcn_2 (GCN)                   │ (None, 64)                │       4,160 │ gcn_1[0][0],                   │\n",
+       "│                               │                           │             │ cast_batched_attributes_to_di… │\n",
+       "│                               │                           │             │ cast_batched_indices_to_disjo… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ pooling_nodes (PoolingNodes)  │ (None, 64)                │           0 │ cast_batched_indices_to_disjo… │\n",
+       "│                               │                           │             │ gcn_2[0][0],                   │\n",
+       "│                               │                           │             │ cast_batched_indices_to_disjo… │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ mlp (MLP)                     │ (None, 1)                 │      19,040 │ pooling_nodes[0][0]            │\n",
+       "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n",
+       "│ cast_disjoint_to_batched_gra… │ (None, 1)                 │           0 │ mlp[0][0]                      │\n",
+       "│ (CastDisjointToBatchedGraphS… │                           │             │                                │\n",
+       "└───────────────────────────────┴───────────────────────────┴─────────────┴────────────────────────────────┘\n",
+       "
\n" + ], + "text/plain": [ + "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n", + "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n", + "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n", + "│ node_attributes (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ total_nodes (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ edge_indices (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ total_edges (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), │ \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)] │ │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ edge_attributes (\u001b[38;5;33mInputLayer\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ cast_batched_indices_to_disj… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m), (\u001b[38;5;34m2\u001b[0m, \u001b[38;5;45mNone\u001b[0m), │ \u001b[38;5;34m0\u001b[0m │ node_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ (\u001b[38;5;33mCastBatchedIndicesToDisjoin…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), │ │ edge_indices[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)] │ │ total_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m960\u001b[0m │ cast_batched_attributes_to_di… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ cast_batched_attributes_to_d… │ [(\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m), (\u001b[38;5;45mNone\u001b[0m), │ \u001b[38;5;34m0\u001b[0m │ edge_attributes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ (\u001b[38;5;33mCastBatchedAttributesToDisj…\u001b[0m │ (\u001b[38;5;45mNone\u001b[0m), (\u001b[38;5;45mNone\u001b[0m)] │ │ total_edges[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ gcn (\u001b[38;5;33mGCN\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │ dense[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ cast_batched_attributes_to_di… │\n", + "│ │ │ │ cast_batched_indices_to_disjo… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ gcn_1 (\u001b[38;5;33mGCN\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │ gcn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ cast_batched_attributes_to_di… │\n", + "│ │ │ │ cast_batched_indices_to_disjo… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ gcn_2 (\u001b[38;5;33mGCN\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │ gcn_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ cast_batched_attributes_to_di… │\n", + "│ │ │ │ cast_batched_indices_to_disjo… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ pooling_nodes (\u001b[38;5;33mPoolingNodes\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ cast_batched_indices_to_disjo… │\n", + "│ │ │ │ gcn_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", + "│ │ │ │ cast_batched_indices_to_disjo… │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ mlp (\u001b[38;5;33mMLP\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m19,040\u001b[0m │ pooling_nodes[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├───────────────────────────────┼───────────────────────────┼─────────────┼────────────────────────────────┤\n", + "│ cast_disjoint_to_batched_gra… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ mlp[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mCastDisjointToBatchedGraphS…\u001b[0m │ │ │ │\n", + "└───────────────────────────────┴───────────────────────────┴─────────────┴────────────────────────────────┘\n" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "109/109 - 3s - loss: 0.6509 - accuracy: 0.6178 - lr: 0.0010 - 3s/epoch - 29ms/step\n", - "Epoch 2/150\n", - "109/109 - 1s - loss: 0.6153 - accuracy: 0.6786 - lr: 0.0010 - 1s/epoch - 12ms/step\n", - "Epoch 3/150\n", - "109/109 - 1s - loss: 0.5951 - accuracy: 0.6979 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 4/150\n", - "109/109 - 1s - loss: 0.5652 - accuracy: 0.7091 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 5/150\n", - "109/109 - 1s - loss: 0.5610 - accuracy: 0.7244 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 6/150\n", - "109/109 - 1s - loss: 0.5388 - accuracy: 0.7308 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 7/150\n", - "109/109 - 1s - loss: 0.5383 - accuracy: 0.7276 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 8/150\n", - "109/109 - 2s - loss: 0.5302 - accuracy: 0.7394 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 9/150\n", - "109/109 - 2s - loss: 0.5125 - accuracy: 0.7553 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 10/150\n", - "109/109 - 2s - loss: 0.5105 - accuracy: 0.7501 - val_loss: 0.5532 - val_accuracy: 0.7327 - lr: 0.0010 - 2s/epoch - 21ms/step\n", - "Epoch 11/150\n", - "109/109 - 1s - loss: 0.4959 - accuracy: 0.7628 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 12/150\n", - "109/109 - 1s - loss: 0.4982 - accuracy: 0.7570 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 13/150\n", - "109/109 - 1s - loss: 0.5046 - accuracy: 0.7486 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 14/150\n", - "109/109 - 1s - loss: 0.4923 - accuracy: 0.7654 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 15/150\n", - "109/109 - 1s - loss: 0.4836 - accuracy: 0.7628 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 16/150\n", - "109/109 - 1s - loss: 0.4875 - accuracy: 0.7665 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 17/150\n", - "109/109 - 1s - loss: 0.4798 - accuracy: 0.7685 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 18/150\n", - "109/109 - 1s - loss: 0.4751 - accuracy: 0.7737 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 19/150\n", - "109/109 - 1s - loss: 0.4672 - accuracy: 0.7824 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 20/150\n", - "109/109 - 2s - loss: 0.4609 - accuracy: 0.7838 - val_loss: 0.4913 - val_accuracy: 0.7730 - lr: 0.0010 - 2s/epoch - 16ms/step\n", - "Epoch 21/150\n", - "109/109 - 1s - loss: 0.4606 - accuracy: 0.7780 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 22/150\n", - "109/109 - 1s - loss: 0.4652 - accuracy: 0.7705 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 23/150\n", - "109/109 - 1s - loss: 0.4578 - accuracy: 0.7806 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 24/150\n", - "109/109 - 1s - loss: 0.4469 - accuracy: 0.7832 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 25/150\n", - "109/109 - 1s - loss: 0.4522 - accuracy: 0.7873 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 26/150\n", - "109/109 - 1s - loss: 0.4407 - accuracy: 0.7927 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 27/150\n", - "109/109 - 1s - loss: 0.4463 - accuracy: 0.7919 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 28/150\n", - "109/109 - 1s - loss: 0.4399 - accuracy: 0.7953 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 29/150\n", - "109/109 - 1s - loss: 0.4353 - accuracy: 0.7979 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 30/150\n", - "109/109 - 2s - loss: 0.4384 - accuracy: 0.7881 - val_loss: 0.4880 - val_accuracy: 0.7823 - lr: 0.0010 - 2s/epoch - 16ms/step\n", - "Epoch 31/150\n", - "109/109 - 1s - loss: 0.4348 - accuracy: 0.7976 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 32/150\n", - "109/109 - 1s - loss: 0.4314 - accuracy: 0.8011 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 33/150\n", - "109/109 - 1s - loss: 0.4255 - accuracy: 0.8043 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 34/150\n", - "109/109 - 1s - loss: 0.4317 - accuracy: 0.7985 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 35/150\n", - "109/109 - 1s - loss: 0.4171 - accuracy: 0.8086 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 36/150\n", - "109/109 - 1s - loss: 0.4147 - accuracy: 0.8057 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 37/150\n", - "109/109 - 1s - loss: 0.4191 - accuracy: 0.8086 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 38/150\n", - "109/109 - 1s - loss: 0.4161 - accuracy: 0.8074 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 39/150\n", - "109/109 - 1s - loss: 0.4131 - accuracy: 0.8074 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 40/150\n", - "109/109 - 2s - loss: 0.4026 - accuracy: 0.8149 - val_loss: 0.4840 - val_accuracy: 0.7673 - lr: 0.0010 - 2s/epoch - 16ms/step\n", - "Epoch 41/150\n", - "109/109 - 1s - loss: 0.4058 - accuracy: 0.8040 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 42/150\n", - "109/109 - 1s - loss: 0.3926 - accuracy: 0.8216 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 43/150\n", - "109/109 - 1s - loss: 0.3896 - accuracy: 0.8227 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 44/150\n", - "109/109 - 1s - loss: 0.4040 - accuracy: 0.8227 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 45/150\n", - "109/109 - 1s - loss: 0.3939 - accuracy: 0.8178 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 46/150\n", - "109/109 - 1s - loss: 0.3866 - accuracy: 0.8207 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 47/150\n", - "109/109 - 1s - loss: 0.3945 - accuracy: 0.8164 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 48/150\n", - "109/109 - 2s - loss: 0.3773 - accuracy: 0.8293 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 49/150\n", - "109/109 - 2s - loss: 0.3783 - accuracy: 0.8311 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 50/150\n", - "109/109 - 2s - loss: 0.3750 - accuracy: 0.8311 - val_loss: 0.4720 - val_accuracy: 0.8030 - lr: 0.0010 - 2s/epoch - 17ms/step\n", - "Epoch 51/150\n", - "109/109 - 2s - loss: 0.3863 - accuracy: 0.8224 - lr: 0.0010 - 2s/epoch - 15ms/step\n", - "Epoch 52/150\n", - "109/109 - 2s - loss: 0.3707 - accuracy: 0.8317 - lr: 0.0010 - 2s/epoch - 15ms/step\n", - "Epoch 53/150\n", - "109/109 - 2s - loss: 0.3744 - accuracy: 0.8291 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 54/150\n", - "109/109 - 1s - loss: 0.3768 - accuracy: 0.8221 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 55/150\n", - "109/109 - 2s - loss: 0.3637 - accuracy: 0.8366 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 56/150\n", - "109/109 - 2s - loss: 0.3689 - accuracy: 0.8366 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 57/150\n", - "109/109 - 1s - loss: 0.3646 - accuracy: 0.8380 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 58/150\n", - "109/109 - 1s - loss: 0.3583 - accuracy: 0.8380 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 59/150\n", - "109/109 - 1s - loss: 0.3534 - accuracy: 0.8458 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 60/150\n", - "109/109 - 2s - loss: 0.3508 - accuracy: 0.8458 - val_loss: 0.4938 - val_accuracy: 0.7995 - lr: 0.0010 - 2s/epoch - 16ms/step\n", - "Epoch 61/150\n", - "109/109 - 2s - loss: 0.3634 - accuracy: 0.8363 - lr: 0.0010 - 2s/epoch - 15ms/step\n", - "Epoch 62/150\n", - "109/109 - 2s - loss: 0.3464 - accuracy: 0.8440 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 63/150\n", - "109/109 - 1s - loss: 0.3489 - accuracy: 0.8478 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 64/150\n", - "109/109 - 2s - loss: 0.3406 - accuracy: 0.8449 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 65/150\n", - "109/109 - 2s - loss: 0.3399 - accuracy: 0.8518 - lr: 0.0010 - 2s/epoch - 15ms/step\n", - "Epoch 66/150\n", - "109/109 - 2s - loss: 0.3379 - accuracy: 0.8495 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 67/150\n", - "109/109 - 2s - loss: 0.3346 - accuracy: 0.8521 - lr: 0.0010 - 2s/epoch - 15ms/step\n", - "Epoch 68/150\n", - "109/109 - 2s - loss: 0.3304 - accuracy: 0.8538 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 69/150\n", - "109/109 - 1s - loss: 0.3318 - accuracy: 0.8481 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 70/150\n", - "109/109 - 2s - loss: 0.3202 - accuracy: 0.8593 - val_loss: 0.4949 - val_accuracy: 0.7995 - lr: 0.0010 - 2s/epoch - 16ms/step\n", - "Epoch 71/150\n", - "109/109 - 2s - loss: 0.3290 - accuracy: 0.8564 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 72/150\n", - "109/109 - 1s - loss: 0.3303 - accuracy: 0.8553 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 73/150\n", - "109/109 - 1s - loss: 0.3213 - accuracy: 0.8590 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 74/150\n", - "109/109 - 1s - loss: 0.3156 - accuracy: 0.8611 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 75/150\n", - "109/109 - 1s - loss: 0.3116 - accuracy: 0.8602 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 76/150\n", - "109/109 - 1s - loss: 0.3090 - accuracy: 0.8648 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 77/150\n", - "109/109 - 1s - loss: 0.3084 - accuracy: 0.8660 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 78/150\n", - "109/109 - 1s - loss: 0.3100 - accuracy: 0.8625 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 79/150\n", - "109/109 - 1s - loss: 0.3217 - accuracy: 0.8585 - lr: 0.0010 - 1s/epoch - 13ms/step\n", - "Epoch 80/150\n", - "109/109 - 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"109/109 - 2s - loss: 0.2708 - accuracy: 0.8890 - val_loss: 0.5544 - val_accuracy: 0.7776 - lr: 0.0010 - 2s/epoch - 18ms/step\n", - "Epoch 91/150\n", - "109/109 - 2s - loss: 0.2725 - accuracy: 0.8847 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 92/150\n", - "109/109 - 2s - loss: 0.2588 - accuracy: 0.8890 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 93/150\n", - "109/109 - 2s - loss: 0.2847 - accuracy: 0.8752 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 94/150\n", - "109/109 - 1s - loss: 0.2625 - accuracy: 0.8876 - lr: 0.0010 - 1s/epoch - 14ms/step\n", - "Epoch 95/150\n", - "109/109 - 2s - loss: 0.2777 - accuracy: 0.8821 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 96/150\n", - "109/109 - 2s - loss: 0.2565 - accuracy: 0.8916 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 97/150\n", - "109/109 - 2s - loss: 0.2549 - accuracy: 0.8951 - lr: 0.0010 - 2s/epoch - 14ms/step\n", - "Epoch 98/150\n", - "109/109 - 2s - loss: 0.2705 - accuracy: 0.8838 - lr: 0.0010 - 2s/epoch - 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lr: 7.4800e-04 - 1s/epoch - 13ms/step\n", - "Epoch 116/150\n", - "109/109 - 1s - loss: 0.1878 - accuracy: 0.9225 - lr: 7.3000e-04 - 1s/epoch - 13ms/step\n", - "Epoch 117/150\n", - "109/109 - 2s - loss: 0.1885 - accuracy: 0.9227 - lr: 7.1200e-04 - 2s/epoch - 14ms/step\n", - "Epoch 118/150\n", - "109/109 - 1s - loss: 0.1818 - accuracy: 0.9233 - lr: 6.9400e-04 - 1s/epoch - 14ms/step\n", - "Epoch 119/150\n", - "109/109 - 2s - loss: 0.1852 - accuracy: 0.9213 - lr: 6.7600e-04 - 2s/epoch - 14ms/step\n", - "Epoch 120/150\n", - "109/109 - 2s - loss: 0.1855 - accuracy: 0.9236 - val_loss: 0.6948 - val_accuracy: 0.7834 - lr: 6.5800e-04 - 2s/epoch - 16ms/step\n", - "Epoch 121/150\n", - "109/109 - 1s - loss: 0.1724 - accuracy: 0.9297 - lr: 6.4000e-04 - 1s/epoch - 14ms/step\n", - "Epoch 122/150\n", - "109/109 - 1s - loss: 0.1663 - accuracy: 0.9340 - lr: 6.2200e-04 - 1s/epoch - 14ms/step\n", - "Epoch 123/150\n", - "109/109 - 1s - loss: 0.1650 - accuracy: 0.9317 - lr: 6.0400e-04 - 1s/epoch - 13ms/step\n", - "Epoch 124/150\n", - "109/109 - 1s - loss: 0.1623 - accuracy: 0.9337 - lr: 5.8600e-04 - 1s/epoch - 14ms/step\n", - "Epoch 125/150\n", - "109/109 - 1s - loss: 0.1566 - accuracy: 0.9363 - lr: 5.6800e-04 - 1s/epoch - 13ms/step\n", - "Epoch 126/150\n", - "109/109 - 1s - loss: 0.1518 - accuracy: 0.9418 - lr: 5.5000e-04 - 1s/epoch - 14ms/step\n", - "Epoch 127/150\n", - "109/109 - 1s - loss: 0.1508 - accuracy: 0.9374 - lr: 5.3200e-04 - 1s/epoch - 14ms/step\n", - "Epoch 128/150\n", - "109/109 - 1s - loss: 0.1538 - accuracy: 0.9357 - lr: 5.1400e-04 - 1s/epoch - 13ms/step\n", - "Epoch 129/150\n", - "109/109 - 1s - loss: 0.1440 - accuracy: 0.9472 - lr: 4.9600e-04 - 1s/epoch - 13ms/step\n", - "Epoch 130/150\n", - "109/109 - 2s - loss: 0.1417 - accuracy: 0.9438 - val_loss: 0.8690 - val_accuracy: 0.7788 - lr: 4.7800e-04 - 2s/epoch - 16ms/step\n", - "Epoch 131/150\n", - "109/109 - 1s - loss: 0.1352 - accuracy: 0.9470 - lr: 4.6000e-04 - 1s/epoch - 14ms/step\n", - "Epoch 132/150\n", - 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val_accuracy: 0.7753 - lr: 2.9800e-04 - 2s/epoch - 16ms/step\n", - "Epoch 141/150\n", - "109/109 - 1s - loss: 0.1143 - accuracy: 0.9559 - lr: 2.8000e-04 - 1s/epoch - 13ms/step\n", - "Epoch 142/150\n", - "109/109 - 1s - loss: 0.1126 - accuracy: 0.9582 - lr: 2.6200e-04 - 1s/epoch - 13ms/step\n", - "Epoch 143/150\n", - "109/109 - 1s - loss: 0.1097 - accuracy: 0.9585 - lr: 2.4400e-04 - 1s/epoch - 13ms/step\n", - "Epoch 144/150\n", - "109/109 - 1s - loss: 0.1084 - accuracy: 0.9622 - lr: 2.2600e-04 - 1s/epoch - 14ms/step\n", - "Epoch 145/150\n", - "109/109 - 1s - loss: 0.1048 - accuracy: 0.9611 - lr: 2.0800e-04 - 1s/epoch - 13ms/step\n", - "Epoch 146/150\n", - "109/109 - 1s - loss: 0.1064 - accuracy: 0.9608 - lr: 1.9000e-04 - 1s/epoch - 14ms/step\n", - "Epoch 147/150\n", - "109/109 - 2s - loss: 0.1010 - accuracy: 0.9640 - lr: 1.7200e-04 - 2s/epoch - 14ms/step\n", - "Epoch 148/150\n", - "109/109 - 1s - loss: 0.1002 - accuracy: 0.9637 - lr: 1.5400e-04 - 1s/epoch - 13ms/step\n", - "Epoch 149/150\n", - "109/109 - 2s - loss: 0.0978 - accuracy: 0.9651 - lr: 1.3600e-04 - 2s/epoch - 15ms/step\n", - "Epoch 150/150\n", - "109/109 - 2s - loss: 0.0954 - accuracy: 0.9674 - val_loss: 0.9798 - val_accuracy: 0.7834 - lr: 1.1800e-04 - 2s/epoch - 15ms/step\n", - "Print Time for taining: 310.234375\n" + "None\n", + "Print Time for taining: 372.28125\n" ] }, { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "model_args = {'name': \"GCN\",\n", - " 'inputs': [{'shape': (None, 14), 'name': \"node_attributes\", 'dtype': 'float32', 'ragged': True},\n", - " {'shape': (None, 1), 'name': \"edge_attributes\", 'dtype': 'float32', 'ragged': True},\n", - " {'shape': (None, 2), 'name': \"edge_indices\", 'dtype': 'int64', 'ragged': True}],\n", - " 'input_embedding': {\"node\": {\"input_dim\": 55, \"output_dim\": 64},\n", - " \"edge\": {\"input_dim\": 10, \"output_dim\": 64}},\n", - " 'output_embedding': 'graph',\n", - " 'output_mlp': {\"use_bias\": [True, True, False], \"units\": [140, 70, 1],\n", - " \"activation\": ['relu', 'relu', 'sigmoid']},\n", - " 'gcn_args': {\"units\": 64, \"use_bias\": True, \"activation\": 'relu', \"pooling_method\": 'mean'},\n", - " 'depth': 3, 'verbose': 1\n", - " }\n", + "model_args = {\n", + " 'name': \"GCN\",\n", + " 'inputs': model_inputs,\n", + " 'input_embedding': {\"node\": {\"input_dim\": 55, \"output_dim\": 64},\n", + " \"edge\": {\"input_dim\": 10, \"output_dim\": 64}},\n", + " 'output_embedding': 'graph',\n", + " 'output_mlp': {\"use_bias\": [True, True, False], \"units\": [140, 70, 1],\n", + " \"activation\": ['relu', 'relu', 'sigmoid']},\n", + " 'gcn_args': {\"units\": 64, \"use_bias\": True, \"activation\": 'relu', \"pooling_method\": 'mean'},\n", + " 'depth': 3, 'verbose': 1\n", + "}\n", "model = make_model(**model_args)\n", "\n", "# Set learning rate and epochs\n", @@ -597,7 +383,7 @@ "epostep = 10\n", "\n", "# Compile model with optimizer and loss\n", - "optimizer = tf.keras.optimizers.Adam(lr=learning_rate_start)\n", + "optimizer = ks.optimizers.Adam(learning_rate=learning_rate_start)\n", "cbks = LinearLearningRateScheduler(learning_rate_start, learning_rate_stop, epomin, epo)\n", "model.compile(loss='binary_crossentropy',\n", " optimizer=optimizer,\n", @@ -612,7 +398,7 @@ " callbacks=[cbks],\n", " validation_freq=epostep,\n", " validation_data=(xtest, ytest),\n", - " verbose=2\n", + " verbose=0\n", " )\n", "stop = time.process_time()\n", "print(\"Print Time for taining: \", stop - start)\n", @@ -645,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "b920db54", "metadata": {}, "outputs": [], @@ -660,28 +446,31 @@ " return self.gnn_model(gnn_input, training=False)[0]\n", "\n", " def masked_predict(self, gnn_input, edge_mask, feature_mask, node_mask, training=False):\n", - " node_input, edge_input, edge_index_input = gnn_input\n", - "\n", - " masked_edge_input = tf.ragged.map_flat_values(tf.math.multiply, edge_input, edge_mask)\n", - " masked_feature_input = tf.ragged.map_flat_values(tf.math.multiply, tf.dtypes.cast(node_input, tf.float32),\n", - " tf.transpose(feature_mask))\n", - " masked_node_feature_input = tf.ragged.map_flat_values(tf.math.multiply, masked_feature_input, node_mask)\n", + " node_input, edge_input, edge_index_input, node_len, edge_len = gnn_input\n", + " \n", + " node_len = ops.convert_to_tensor(node_len)\n", + " edge_len = ops.convert_to_tensor(edge_len)\n", + " edge_index_input = ops.convert_to_tensor(edge_index_input)\n", + " masked_edge_input = ops.convert_to_tensor(edge_input) * ops.cast(edge_mask, dtype=\"float32\")\n", + " masked_feature_input = ops.convert_to_tensor(node_input) * ops.cast(ops.transpose(feature_mask), dtype=\"float32\")\n", + " masked_node_feature_input = ops.convert_to_tensor(masked_feature_input) * ops.cast(node_mask, dtype=\"float32\")\n", + " \n", " masked_pred = \\\n", - " self.gnn_model([masked_node_feature_input, masked_edge_input, edge_index_input], training=training)[0]\n", + " self.gnn_model([masked_node_feature_input, masked_edge_input, edge_index_input, node_len, edge_len], training=training)[0]\n", "\n", " return masked_pred\n", "\n", " def get_number_of_nodes(self, gnn_input):\n", - " node_input, _, _ = gnn_input\n", - " return node_input[0].shape[0]\n", + " # node_input, _, _ = gnn_input\n", + " return gnn_input[0][0].shape[0]\n", "\n", " def get_number_of_node_features(self, gnn_input):\n", - " node_input, _, _ = gnn_input\n", - " return node_input.shape[2]\n", + " # node_input, _, _ = gnn_input\n", + " return gnn_input[0].shape[2]\n", "\n", " def get_number_of_edges(self, gnn_input):\n", - " _, edge_input, _ = gnn_input\n", - " return edge_input[0].shape[0]\n", + " # _, edge_input, _ = gnn_input\n", + " return gnn_input[1][0].shape[0]\n", "\n", " def get_explanation(self, gnn_input, edge_mask, feature_mask, node_mask):\n", " edge_relevance = np.array(edge_mask[:, 0])\n", @@ -690,9 +479,13 @@ " features = np.array(gnn_input[0][0])\n", " edges = np.array(gnn_input[2][0])\n", " graph = nx.Graph()\n", - " for i, f in enumerate(features):\n", + " num_nodes = gnn_input[3][0]\n", + " num_edges = gnn_input[4][0]\n", + " for i in range(num_nodes):\n", + " f = features[i]\n", " graph.add_node(i, features=f, relevance=node_relevance[i])\n", - " for i, e in enumerate(edges):\n", + " for i in range(num_edges):\n", + " e = edges[i]\n", " if edge_relevance is None:\n", " graph.add_edge(e[0], e[1])\n", " else:\n", @@ -734,7 +527,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "73a250ff", "metadata": {}, "outputs": [ @@ -742,14 +535,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\keras\\optimizers\\optimizer_v2\\adam.py:110: UserWarning: The `lr` argument is deprecated, use `learning_rate` instead.\n", - " super(Adam, self).__init__(name, **kwargs)\n" + "C:\\Users\\patri\\anaconda3\\envs\\gcnn_keras_test\\lib\\site-packages\\keras_core\\src\\optimizers\\base_optimizer.py:430: UserWarning: Gradients do not exist for variables ['feature_mask', 'node_mask'] when minimizing the loss. If using `model.compile()`, did you forget to provide a `loss` argument?\n", + " warnings.warn(\n" ] } ], "source": [ "explainable_gcn = ExplainableGCN(model)\n", - "compile_options = {'loss': 'binary_crossentropy', 'optimizer': tf.keras.optimizers.Adam(lr=0.2)}\n", + "compile_options = {'loss': 'binary_crossentropy', 'optimizer': ks.optimizers.Adam(learning_rate=0.2)}\n", "fit_options={'epochs': 100, 'batch_size': 1, 'verbose': 0}\n", "gnnexplaineroptimizer_options = {'edge_mask_loss_weight': 0.001,\n", " 'edge_mask_norm_ord': 1,\n", @@ -768,15 +561,15 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "id": "5cbf4c38", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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" + "
" ] }, "metadata": {}, @@ -789,20 +582,18 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "id": "e6285470", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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\n", + "image/png": 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", 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asdPG9GdcYU9ufWExWyprwg5HRPZSLE9VfeDuY4ADgAPc/UBgfAyfPQsoMrPBZpYOTAZmNKozA7ggeLrqUGCLu68xMwPuAxa5+x0NG5hZfoPdM4D5McQiITIzbjxtJJsrq/nVyx+FHY6I7KWYVwB0960NLhddG0P9WuAK4AWiN7cfDyZJnGpmU4NqzwFLgVKiZw+XBeVHEB2dPr6Jx25vNbN5ZjaX6GPB18TaBwnPqP7dOHvcIB5+ewUfrasIOxwR2QvmHv8NSzNb6e4Dd1+zfSguLvaSkpKww0h6G7dXc+xtr7J/QVf+cMkhRE8sRaS9MrPZ7l7cuHxP1xzX4zESt57Z6Vx7wjDeLP2UFxasDTscEdlDzSYOM6sws61NbBVA/zaMUTqRcw8ZxPC+ufzo2UXsrKkLOxwR2QPNJg53z3X3rk1sue6uFQBlj6RGUrjxtJGs2ryD6a8tDTscEdkDe3qpSmSPHT6kNxP378dvXy1l9eZYhgSJSHuixCGh+M5J++EOt/xD81iJdDRKHBKKgT2zuPTofZnxwWpmLd8YdjgiEodYZsed2ETZ1KbqisRj6jFDyO8WnceqTvNYiXQYsZxxfN/MPhspbmbf5vOz3IrELSs9le+ctB8LVm/lT+9+EnY4IhKjWBLHacBPzewoM/sJ0bmhTktsWJIsTjkgn8OH9OIXz3/Ihm1VYYcjIjGIZa6qDUQTxd1Ex298JVh3XGSvmRk/nLQ/O2rqdKNcpIOIZQBgBdG5pIYBZwFbzUxrjkurGdonh28ctS9PzC6jRDfKRdq9WAYA7nrNdPecXfttGaR0fleOH0pB9y587+n51NbVhx2OiLQglqeqjjCz7OD9ecH644MSH5okk6z0VL5/ykg+XFvBIzNXhB2OiLQglpvj04BKMxsD/B+wAngkoVFJUjpxVF+OHpbHHS9+RHmFbpSLtFexJI5aj869Pgn4tbv/GshNbFiSjMyMG08dyc7aOm59XjfKRdqrWBJHhZndAJwH/N3MIkBaYsOSZDUkL4dLjtyXv8wu471PNoUdjog0IZbE8TWgCrjE3dcCBcAvEhqVJLUrxw+lb9cMfvDMfI0oF2mHYhnHsdbd73D314P9T9z94cSHJskqOyOV7548kvmrtvKoRpSLtDuxPFV1qJnNMrNtZlZtZnVmtqUtgpPkdeoB+RwyuCe3vbiYTdurww5HRBqI5VLVXcDZwBKgC/ANoqPId8vMJpjZYjMrNbPrmzhuZnZncHyumR0UlA80s1fMbJGZLTCzqxq06WlmL5nZkuC1RyyxSMeya0R5xc5afvHi4rDDEZEGYppW3d1LgYi717n7A8Axu2sT3ES/G5gIjATONrORjapNBIqCbQrRR38BaoHr3H0/4FDg8gZtrwdedvci4OVgXzqh4f1yufCwQh599xPmlekkV6S9iCVxVJpZOjDHzG41s2uA7BjajQNK3X2pu1cDj/H5WXUnAQ971Eygu5nlu/sad38PwN0rgEVEb8rvavNQ8P4h4PQYYpEO6uoTiuiVncH3n5lPvW6Ui7QLsSSO84EIcAWwHRgIfDmGdgXAygb7Zfznxz/mOmZWCBwIvBMU9XX3NQDBa58YYpEOqmtmGjdMHMGclZt5YnZZ2OGICLE9VbXC3Xe4+1Z3v9ndrw0uXe2ONfVx8dQxsxzgSeBqd49rYkUzm2JmJWZWUl5eHk9TaWfOPKiAgwt7cMvzH7KlUhMzi4Stpdlx57a0xfDZZUTPTnYZAKyOtY6ZpRFNGn9096ca1FlnZvlBnXxgfVNf7u7T3b3Y3Yvz8vJiCFfaKzPj5tP2Z3NlNbfpRrlI6Fo646gH6ojOS/VV4NRG2+7MAorMbHBwj2QyMKNRnRnABcHTVYcCW9x9jZkZcB+wyN3vaKLNhcH7C4FnYohFOriR/btywWGF/OGdFbpRLhKylqZVH0v0Mdwc4E/AT4BRwCp33+30pe5eS/S+yAtEb24/7u4LzGxqgzXLnwOWEl3v4x7gsqD8CKL3Vsab2ZxgOyk4dgtwgpktAU4I9iUJXHPCMN0oF2kHLDp/YQwVzb5G9PHan7t7h5pypLi42EtKSsIOQ1rBU++Vce3jH3DLmaOZPE6z+4skkpnNdvfixuUt3hw3swIzu87M3iA6yeE1/GeshUibO+PAAg4Z3JOf/UNrlIuEpaWb4/8G/kZ0JtyLiN5P+DuQbmY92yQ6kUbMjJ+cMZrK6lp++vdFYYcjkpRaOuPYB+gBXAq8CJQE2+zgVSQUQ/vkMPWLQ3jq/VW8Vboh7HBEkk5LN8cL3X1wsO3bYBvs7vu2ZZAijV1+7FD26ZXF956eT1VtXdjhiCSVmOaqEmlvMtMi/Pj0/Vm6YTt3v/Jx2OGIJBUlDumwjirKY9LY/kx7tZQl6yrCDkckaShxSIf2/VNGkp2Ryg1PzdPYDpE2ElPiMLMjzezi4H2emQ1ObFgisemdk8H3Th5JyYpN/EmrBYq0iVhWALwR+DZwQ1CUBvwhkUGJxOPLBxVwxNBe/PwfH7J2y86wwxHp9GI54zgDOI3olOq4+2ogN5FBicTDzPjJ6aOprqvn+8/MJ9bZEERkz8SSOKo9+jfRAcwslkWcRNpUYe9srj1hGC8tXMdz89aGHY5IpxZL4njczH5PdHW+/wH+SXRCQpF25ZIjBzO6oBs3zpjPpu3VYYcj0mnFspDTbcATRNfGGA78wN1/k+jAROKVGknh518+gM2VNfzo2YVhhyPSaaXGUsndXwJeSnAsInttZP+uXHbMEO78VymnjunPsSO0srBIa2tpksMKM9va3NaWQYrE4/LxQynqk8MNT81jyw4tNSvS2lqaqyrX3bsCvwKuBwqILu36beDHbRKdyB7ISI1w21ljKN9WxY91yUqk1cVyc/xEd/+tu1e4+1Z3nwZ8OdGBieyNMQO7c+nR+/KX2WX868N1YYcj0qnEkjjqzOxcM4uYWYqZnUt0LXKRdu2q44sY1je4ZFWpS1YirSWWxHEO8FVgHbAeOCsoE2nXMlIj3H7WWDZsq+bmvy0IOxyRTiOWx3GXu/skd+8dbKe7+/I2iE1kr40e0I3Ljx3KU++v4rl5a8IOR6RTiGWuqgFm9lczW29m68zsSTMbEMuHm9kEM1tsZqVmdn0Tx83M7gyOzzWzgxocuz/4zvmN2txkZqvMbE6wnRRLLJK8rhw/lDEDuvGdv85j3VbNZSWyt2K5VPUAMAPoT/TJqr8FZS0yswhwNzARGAmcbWYjG1WbCBQF2xRgWoNjDwITmvn4X7r72GB7LoY+SBJLi6Rwx9fGsrOmjm89MVdzWYnspVgSR567P+DutcH2IJAXQ7txQKm7L3X3auAxYFKjOpOAhz1qJtFpTfIB3P01YGPMPRFpwZC8HL578khe+6ich99eEXY4Ih1aLIljg5mdFzxVFTGz84BPY2hXAKxssF8WlMVbpylXBJe27jezHk1VMLMpZlZiZiXl5eUxfKR0ducdMohjh+fx0+cWsXitVgwU2VOxJI6vE32qai2wBvhKULY71kRZ42sEsdRpbBowBBgbxHN7U5Xcfbq7F7t7cV5eLCdI0tmZGbd+ZQy5mWlc+eh77KzRU+UieyKWp6o+cffT3D3P3fsET1XFcq5fBgxssD8AWL0HdRrHs87d69y9nugsveNiiEUEgLzcDO746hg+WreNn/x9UdjhiHRIzU5yaGY/aKGdu/uPdvPZs4CiYJnZVcBkPj/+YwbRy06PAYcAW9y9xWcmzSy/QZ0zgPkt1Rdp7OhhefzPUYO55/VlHFnUmxNH9Qs7JJEOpaUzju1NbACXEJ2vqkXuXgtcAbwALAIed/cFZjbVzKYG1Z4DlgKlRM8eLtvV3sweBd4GhptZmZldEhy61czmmdlc4Fjgmph6KtLAt04cwf4FXfm/J+ayavOOsMMR6VAslkcTzSwXuIpo0ngcuN3d1yc4tlZTXFzsJSUlYYch7czyDds55TdvUNQ3h8cvPYy0SCy3/ESSh5nNdvfixuUt/k0xs55m9mNgLtHLWge5+7c7UtIQaU5h72xu+fJo3v9kM7c+/2HY4Yh0GC2tx/ELovcpKoDR7n6Tu29qs8hE2sApB/Tn/EP34Z7Xl/HSQs2iKxKLls44riM6Wvx7wOoGizhVaCEn6Uy+e/J+jOrflesen8Mnn1aGHY5Iu9fSQk4p7t5l14JODbZdCzyJdAqZaRGmnfsFAC79w2x2VGt8h0hLdDdQBBjUK4tfTz6QD9du5btPz9N8ViItUOIQCRw7og9XHVfEU++t4g8zNZ+VSHOUOEQa+Ob4Io4dnscPn13Iu8s0x6ZIU5Q4RBpISTF+NflABvbIYuofZlO2STfLRRpT4hBppFuXNO65sJiaunq+8VAJ26tqww5JpF1R4hBpwpC8HO4+5yA+WlfBdY9/QH29bpaL7KLEIdKMo4fl8d2TR/L8grX8XCPLRT7T7Oy4IgJfP6KQFZ9u5/evLWVAzyzOP3SfsEMSCZ0Sh0gLzIwbTx3F6s07uPGZ+fTvlslx+/UNOyyRUOlSlchuRFKMO88+kFH9u3HFn97n/U80ZZskNyUOkRhkpady30XF5OVmcPGDsyhdrzXLJXkpcYjEqE9uJo9cMo7UlBTOv+9dLQAlSUuJQyQO+/TK5uGvj2NbVS3n3/cOG7ZVhR2SSJtT4hCJ08j+Xbn/ooNZvXkH5937Dpu2V4cdkkibUuIQ2QMHF/bkvgsPZtmG7Zx33ztsqawJOySRNqPEIbKHjhjam9+f/wWWrNvG+fe/w5YdSh6SHBKaOMxsgpktNrNSM7u+ieNmZncGx+ea2UENjt1vZuvNbH6jNj3N7CUzWxK89khkH0RacszwPkw77yAWrdnKOffMZKMuW0kSSFjiMLMIcDcwERgJnG1mIxtVmwgUBdsUYFqDYw8CE5r46OuBl929CHg52BcJzXH79WX6BcWUrt/G5Olvs75iZ9ghiSRUIs84xgGl7r7U3auBx4BJjepMAh72qJlAdzPLB3D314CmFkSYBDwUvH8IOD0RwYvE49jhfXjgooNZuXEHX/v9TD2qK51aIhNHAbCywX5ZUBZvncb6uvsagOC1T1OVzGyKmZWYWUl5eXlcgYvsicOH9uaRS8axoaKKL//2LRav1SBB6ZwSmTisibLGc1PHUmePuPt0dy929+K8vLzW+EiR3Sou7MnjUw+j3p2zfvcW7yz9NOyQRFpdIhNHGTCwwf4AYPUe1Gls3a7LWcHr+r2MU6RV7ZfflacuO5zeuRmcf/+7/H3umrBDEmlViUwcs4AiMxtsZunAZGBGozozgAuCp6sOBbbsugzVghnAhcH7C4FnWjNokdYwoEcWT049nNEF3bj8T+/xm5eX4K7FoKRzSFjicPda4ArgBWAR8Li7LzCzqWY2Naj2HLAUKAXuAS7b1d7MHgXeBoabWZmZXRIcugU4wcyWACcE+yLtTo/sdP74jUM448ACbn/pI6758xx21tSFHZbIXrNk+FdQcXGxl5SUhB2GJCl35+5XSrntxY8YM7A70849iP7du4Qdlshumdlsdy9uXK6R4yIJZmZcMb6I3533BT5ev41Tf/MGb328IeywRPaYEodIG5mwfz+evvwIemSnc9697/DbV0upr+/8Z/zS+ShxiLShoX1yePryI5g4Op9bn1/MhQ+8S3mFpmaXjkWJQ6SN5WSkctfZB/LTM0bz7rKNTPz167z2kQapSsehxCESAjPjnEMG8cwVR9A9K40L7n+Xm2Ys0FNX0iEocYiEaES/rjx75ZFcdHghD761nJPvfJ15ZVvCDkukRUocIiHLTItw02mjeOSScWyvquP0377JbS8spqpWZx/SPilxiLQTRxXl8cLVR3PGgQXc9Uopp/7mDT5YuTnssEQ+R4lDpB3plpXGbWeN4YGLDmbLjhrO+O2b/PjZhVRW14YdmshnlDhE2qFjR/ThxWu+yORxg7j3jWV86Zev8epizecp7YMSh0g71a1LGj89YzSPX3oYGakpXPTALC7/43us3aIVBiVcShwi7dy4wT157qqjuO6EYby0aB3H3/Fv7ntjGbV19WGHJklKiUOkA8hIjXDlcUW8dM3RfGGfHvzo2YWcfOcbzNRCURICJQ6RDmSfXtk8ePHB/O68L7CtqpbJ02dy5aPvs1prnEsbUuIQ6WDMjAn79+Of136Rb44fyosL1jL+9lf51T8/Yke1xn5I4ilxiHRQXdIjXPul4fzz2i9y3Ii+/OqfSxh/+6s8MbuMOs26KwmkxCHSwQ3smcXd5x7En6ccSl5uBv/7lw84+c7XeXXxei1XKwmhxCHSSRyyby+evuwI7jz7QLZX13LRA7P42vSZzFq+MezQpJPR0rEinVBVbR2PvbuSu14ppbyiiqOH5XHVcUV8YZ8eYYcmHUhzS8cqcYh0Yjuq63hk5nKmvfoxmyprOGJoL64cX8Qhg3tiZmGHJ+1cKGuOm9kEM1tsZqVmdn0Tx83M7gyOzzWzg3bX1sxuMrNVZjYn2E5KZB9EOrIu6RGmHD2EN749nu+etB+L125j8vSZTLr7TZ56r0wz8MoeSdgZh5lFgI+AE4AyYBZwtrsvbFDnJOBK4CTgEODX7n5IS23N7CZgm7vfFmssOuMQidpZU8dfZpfx4JvL+Lh8O71zMjh9bH9OG9uf0QXddBYi/6W5M47UBH7nOKDU3ZcGATwGTAIWNqgzCXjYo9lrppl1N7N8oDCGtiISp8y0COcfug/njhvEG6UbeGTmCh56ezn3vrGMfXplMX5EH44c2ptD9u1FTkYifx6kI0vkn4wCYGWD/TKiZxW7q1MQQ9srzOwCoAS4zt03Nf5yM5sCTAEYNGjQHnZBpHNKSTGOHpbH0cPy2FJZwwsL1vLsvDX86Z1PeODN5aSmGCPycxld0I3RBd0Z2b8rw/rmkJWuZCKJTRxNnfM2vi7WXJ2W2k4DfhTs/wi4Hfj65yq7TwemQ/RSVWwhiySfbllpfPXggXz14IHsrKnjvRWbePPjDXywcgvPzVvLo+9G/w1nBoN6ZjGsby7D+uYwrG8uRX1y2Tcvm8y0SMi9kLaUyMRRBgxssD8AWB1jnfTm2rr7ul2FZnYP8GzrhSyS3DLTIhw+tDeHD+0NgLuzcuMOFq3dyuK1FdFtXQWvfLie2mB0ekqQUIb2yWFInxyG5kVfh/TOoVtWWpjdkQRJZOKYBRSZ2WBgFTAZOKdRnRlELzs9RvRS1BZ3X2Nm5c21NbN8d18TtD8DmJ/APogkNTNjUK8sBvXK4sRR/T4rr66tZ9mG7SxZX8GSddtYsr6C0vXb+PdH5dTU/ecEv1d2OoN7Z1PYO5vCXlkM6pXNwB5dGNgzi17Z6boZ30ElLHG4e62ZXQG8AESA+919gZlNDY7/DniO6BNVpUAlcHFLbYOPvtXMxhK9VLUcuDRRfRCRpqWnpjC8Xy7D++X+V3ltXT2fbKzk4/LtLNuwjaXl21m6YTtvLNnAE7P/ewGqrPQI/bt3oX/3LhR0z6Rf1y7kd8ukb7dM+nbNoE9uJj2y0pRc2iENABSRNrGjuo5PNlaycmNl9HVTJWs272T1lh2s3ryDDduqP9cmLWL0zsmgd04GebkZ9MxOp1d2Oj2z0+mRlU63rDR6ZKXTtUsqXTPTyM1MJTs9lZQUJZvWEMbjuCIin+mSHmnyLGWXqto61m+tYu3WnazbupP1W6tYX1HFhm3RbX3FThat2cqn26uprm1+9UMzyE5PJTsjQnZGKjkZqWSlR4LXoDw9layMVHIa1MnNTCUnI5p8olsaORmpRJSEPkeJQ0TahYzUCAN7ZjGwZ1aL9dyd7dV1bNpezZYdNWyqrGbrjloqdtawdWcN23bWsq2qjm1VNWyvqmN7dS2VVXWs3ryTHTV1bKuqZXtVLZUxrl2yK6k0TD6ZaSlkpkXITIuQmmKkRoxIipFiDbfoY8+73qemGCkpRmqKkRZJITWSQnrESE9NIT01hYzUSPRzUyNkpEXISE0hMy1anp6aQnokhbTUFNIiRlpKSqhnVUocItKhmBk5wVnCwN1Xb1Z9vVNZU8f2qlq2VdWybWctFTv/k4AqPtuPllVWR5NOZXUtG7bVsrOmjp21ddTVObX10a3enfp6p96jCa7Onfp6qHf/7Cm01hJNRimfJa3UFCOSkhK8GmlB+c/OPIBxg3u26ncrcYhIUkpJ+U8C6ttG31lfvyvJ1FNT61TX1VNdV09VTR3VdfXsrIm+31kbfa2qrWdncKy6NrrV1js1dfXUBgmrrr6emjr/LDnV1tUHr05dvZOd0fpjbJQ4RETaSEqKkZ5ipJMSHa3WQWkhJxERiYsSh4iIxEWJQ0RE4qLEISIicVHiEBGRuChxiIhIXJQ4REQkLkocIiISl6SYHTdY32PFHjbvDWxoxXA6imTsdzL2GZKz38nYZ4i/3/u4e17jwqRIHHvDzEqamla4s0vGfidjnyE5+52MfYbW67cuVYmISFyUOEREJC5KHLs3PewAQpKM/U7GPkNy9jsZ+wyt1G/d4xARkbjojENEROKixCEiInFR4miBmU0ws8VmVmpm14cdTyKY2UAze8XMFpnZAjO7KijvaWYvmdmS4LVH2LG2NjOLmNn7ZvZssJ8Mfe5uZk+Y2YfB//PDOnu/zeya4M/2fDN71MwyO2Ofzex+M1tvZvMblDXbTzO7IfhtW2xmJ8bzXUoczTCzCHA3MBEYCZxtZiPDjSohaoHr3H0/4FDg8qCf1wMvu3sR8HKw39lcBSxqsJ8Mff418Ly7jwDGEO1/p+23mRUA3wSK3X1/IAJMpnP2+UFgQqOyJvsZ/B2fDIwK2vw2+M2LiRJH88YBpe6+1N2rgceASSHH1OrcfY27vxe8ryD6Q1JAtK8PBdUeAk4PJcAEMbMBwMnAvQ2KO3ufuwJHA/cBuHu1u2+mk/eb6BLZXcwsFcgCVtMJ++zurwEbGxU3189JwGPuXuXuy4BSor95MVHiaF4BsLLBfllQ1mmZWSFwIPAO0Nfd10A0uQB9QgwtEX4F/B9Q36Css/d5X6AceCC4RHevmWXTifvt7quA24BPgDXAFnd/kU7c50aa6+de/b4pcTTPmijrtM8um1kO8CRwtbtvDTueRDKzU4D17j477FjaWCpwEDDN3Q8EttM5LtE0K7imPwkYDPQHss3svHCjahf26vdNiaN5ZcDABvsDiJ7idjpmlkY0afzR3Z8KiteZWX5wPB9YH1Z8CXAEcJqZLSd6CXK8mf2Bzt1niP6ZLnP3d4L9J4gmks7c7+OBZe5e7u41wFPA4XTuPjfUXD/36vdNiaN5s4AiMxtsZulEbyTNCDmmVmdmRvSa9yJ3v6PBoRnAhcH7C4Fn2jq2RHH3G9x9gLsXEv3/+i93P49O3GcAd18LrDSz4UHRccBCOne/PwEONbOs4M/6cUTv43XmPjfUXD9nAJPNLMPMBgNFwLuxfqhGjrfAzE4iei08Atzv7j8JN6LWZ2ZHAq8D8/jP9f7vEL3P8TgwiOhfvrPcvfGNtw7PzI4B/tfdTzGzXnTyPpvZWKIPBKQDS4GLif4DstP228xuBr5G9AnC94FvADl0sj6b2aPAMUSnTl8H3Ag8TTP9NLPvAl8n+t/lanf/R8zfpcQhIiLx0KUqERGJixKHiIjERYlDRETiosQhIiJxUeIQEZG4KHGIxMDMtgWvhWZ2Tit/9nca7b/Vmp8v0tqUOETiUwjElThimHX0vxKHux8eZ0wibUqJQyQ+twBHmdmcYJ2HiJn9wsxmmdlcM7sUogMLg3VO/kR0cCVm9rSZzQ7WhpgSlN1CdObWOWb2x6Bs19mNBZ8938zmmdnXGnz2qw3W1fhjMCoaM7vFzBYGsdzW5v91JCmkhh2ASAdzPcFIc4AgAWxx94PNLAN408xeDOqOA/YPpq0G+Lq7bzSzLsAsM3vS3a83syvcfWwT33UmMJbouhm9gzavBccOJLqWwmrgTeAIM1sInAGMcHc3s+6t23WRKJ1xiOydLwEXmNkcotO09CI67w/Auw2SBsA3zewDYCbRCeaKaNmRwKPuXufu64B/Awc3+Owyd68H5hC9hLYV2Anca2ZnApV72TeRJilxiOwdA65097HBNjhY7wGi05ZHK0XnxDoeOMzdxxCdMykzhs9uTlWD93VAqrvXEj3LeZLogj3Px9EPkZgpcYjEpwLIbbD/AvD/gqnpMbNhweJIjXUDNrl7pZmNILpM7y41u9o38hrwteA+Sh7R1fuancE0WFOlm7s/B1xN9DKXSKvTPQ6R+MwFaoNLTg8SXcO7EHgvuEFdTtPLkD4PTDWzucBioperdpkOzDWz99z93AblfwUOAz4gusjO/7n72iDxNCUXeMbMMomerVyzRz0U2Q3NjisiInHRpSoREYmLEoeIiMRFiUNEROKixCEiInFR4hARkbgocYiISFyUOEREJC7/HypiAqKVSf8TAAAAAElFTkSuQmCC\n", + "image/png": 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", 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684\n", + " 44 549 55 376 808 308 486 18 750 603 352 500 436 503 496 114 500 496\n", + " 373 406 312 575 187 388 760 676 212 634 706 736 328 167 436 809 622 168\n", + " 755 856 755 444 90 28 536 760 789 799 542 554 317 315 481 566 635 766\n", + " 75 116]\n" ] } ], @@ -921,7 +708,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "id": "0ecf4b4a", "metadata": {}, "outputs": [ @@ -951,7 +738,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "id": "671da416", "metadata": {}, "outputs": [], @@ -980,20 +767,18 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "b3dd7d05", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1017,7 +802,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "47193ccf", "metadata": {}, "outputs": [ @@ -1025,14 +810,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "(168, 105)\n" + "(38, 105)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\patri\\AppData\\Roaming\\Python\\Python310\\site-packages\\sklearn\\cluster\\_agglomerative.py:1005: FutureWarning: Attribute `affinity` was deprecated in version 1.2 and will be removed in 1.4. Use `metric` instead\n", + " warnings.warn(\n" ] }, { "data": { - "image/png": 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\n", 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", 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\n", + "image/png": 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", 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qtm0TDAbx+/1YloXX68Xr9aJpcvTLoGjbAavuh42vQagZNBeUjoBDL2DRdfcx55hjueKKK7IdpRA5K+tJF+D5tXVc9fcPsLF7TL5FTo1RFV4euuQIqot7H8VGo1ECgQDBYBCn04nX68Xtdg9m6EPHjo/gpZ/Bl2/EPje71tFNh5eW9gAlJ1yN85irwSF3GUIkkhNJF6DZH2Hpqq3c/8aXBKIGCmDZoCkKEdPikDEVXDp3PHO+VoPaxwm4+Og3EAhgmqaMfvtq3f/BPy6CaAjo5cfF4YZhU+DcJ8BTnonohMgrOZN04yzL5r0tzdS1hQhFLUrdDqaMKGVUhXdQvr9hGPj9foLBILqud9R+ZeInifUvwd/PBiOY+nM0J9RMhov+BbrcWQjRWc4l3UyxbZtQKITf78cwjI7R76BMAH31Aaz7J7TXxY4fL66FifNg9OGQT8k92AK3TYFIP1poOtxw6AXwjV8NelhC5LMhm3Q7MwyDQCBAIBBA1/WO2m+fRr9mFNY8Bstvg9YtEA0D8fq0AroXimvgyCvh4LPy4+TbFXfByz+Pndq7l4fXRLl1RZh1DRYlLoWDa1Wum+3i6DGdfmnpXrh6AzgH5y5FiEIgSbeT+Og3EAgQjUZTH/2GWuHB02DnxwkTVBe6Fyr2hfOejiXhXGXbcOsUaP+q25duXRHmV8sj3D3fzbwJDpwaPLfe4PXNJr8+sVM5wVkE37gZpp+TwcCFyG2SdJPoPPp1OBwUFRUlHv1GAnDf8dC4vtuMflKqDqX7wKVv5O5k09Z34a8ndSsttIZsRt7azpKTPCyaqvf+fYYfAN97M01BCpF/5DzsJBwOB6WlpQwfPpzi4mICgQA7d+6ktbUVwzD2XPjkZdC0IfWEC2BFY/XeR84d/MAHS+tWEv14rNhmEjLglP1TrH23dR8pCzGUybahXiiKgtvtxu12Y5omgUCAxsZGNE2jyGzDve4ZlAQJt9eapxmBrSuh/jOoye7JxpZldftQfc24bLPb6R6NAZtqr5J6syIzMujxCpHPJOn2gaZplJSUUFJSQigUwnrpNhKtW01W83xyndF1osk04O07YcHvBiU+27axbTthEu3pQ1VVFEVB0zQURUFVVZx6MSjdR7pVXoWGgI1h2aklXl0m0YToTJJuP7ldLljzYLeRXGvI5oZXwiw5ycOp+++peS6YpLNg0l41UNuAj5bC12/qtp61P8nTtm1UVU364XA4Ej6e0NjDwDK6PTxrlIbbAcvWGZw2JYWabu0BvV8jxBAiSbe/wu0J16/2teZpo9C2/TOMklFdEijQa/KMj0p7TaD9UTUhNgm2fVWXh8vcCj8/1sXlz4RwqHDiBAe6Ci9uNHhlk8nNJ3RevVAMR/5g8GISogBI0u2viA9UR2xSrJM+1zwVDRcR3MXFXZJnTuyQO/oqeOK7sdfayQ9nuRhepLL49TBnPx6kxKlw6AiN62Y7uz7fVQLj5mYuXiHygCTd/nIWxcoDe+lrzVPBwl1aBbnYhnLiN6CoBqJBsLv2KT57ms7Z03ooL+geOO56GMzRtxAFQN4R/eUsifUY2EvnmmdKLAOKhw9ycINEc8D5T4O7LOGkWlK6F6afK5sihEhAkm5/qSpMPy+20aGTzjXPZeuiBKI2UdPm2S+iXPOvUNfvoagweUFs1JyrykfDpa9B6cjeVyIoamyEO/Oy2E40IUQ3siNtIJq+hDtnghHq9qWHPopy29thPm2wutQ8jxy9V2+CC56FEQdnLub+igRgzaOx3hK+nbERuhkBRcV2eLDNKMr+C1COugJGTM92tELkLEm6A/XXU2DT8r5vAlAdMHwqXPp6euJKF9uGbatg28pYFzKHC4qH85k2kWFjJlJRIaczC9ETSboDFWyGu2dD+46E61oTUlTwVMJ3l8d6MBSA+MGgEyZMyHYoQuQ0qekOlKcCLn4RKsbGesj2RnPG+ute/GLBJFyAyspKmpubO9YYCyESk6Q7GEpq4TuvwZyrwVsV2xSwF1sviq0COPIHsa5bleOyEGj6xPsQt7a2ZjsUIXKalBcGm2XC+hfh439A+07AwvRU4R9zPKUzzgAtha2zeaqurg6/3y8lBiF6IJsjBpuqxY7mmThvz0O2jb+ujhLV0a1rVyGprKxk+/bt2LadGzvqhMhBUl7IAEVR0HWdSKSw2xw6nU48Ho+UGITogSTdDHG5XITDfWh0nqcqKytpamrKdhhC5CxJuhnidDoLfqQLe1YxyFSBEIlJ0s0Qp9NJNBot+GTkdDpxu920tbVlOxQhcpIk3QwZKnVdiI12Gxsbsx2GEDlJkm4GSYlBCCFJN4OGymSay+XC5XJJiUGIBCTpZtBQqesCVFVVySoGIRKQpJtBQ62uKyUGIbqTpJthQ6Wu63K5cDqdtLe3ZzsUIXKKJN0MGyp1XZCNEkIkIkk3w4ZSXTeedIfCaxUiVZJ0M2wo1XXdbje6rkuJQYhOJOlmwVCp60KnEoNtQ9gHgaZY+0shhihp7ZgFTqcTv9+f7TAyotrYge/FX8GO18C2YkcVmVGomQxH/ydMOQn0FE7cEKJASBPzLLBtm7q6Omprawu372z95/Dof0DzRiwjjGonOMYnfsLGsdfBzO9Bof5dCNGJJN0sqa+vp8xp4Yy2g23GzlorqimMxLNtFTxwEkT8QAo/XroXDjoLvnVLYbx+IXogSTfTjAh8+hTm67egNn6B4nDFHjejsbPWjroKpp0Oru7nrOWFxg1wz1wI93HyTPfCUVfCMf+VnriEyBGSdDNp3TPwxKWx2mbEl/ga3RubdDr+f2DmdzMa3qD483zYtJxEI9yH10S5dUWYdQ0WJS6Fg2tVrpvt4ugxu6cWHC74/iooH5PZmIXIIFm9kCmr/gyPXQjhtuQJFyAaACMIL/0PPH9tpqIbHM2bYetKEiXcW1eEueq5ENfOdrHzxyVsuaqYyw5z8uQ6Y89Ftg0r781cvEJkgYx0M+Hz5+GR88AI9e15uheO+ynMuiw9cQ22F66Hd/4IZtflcK0hm5G3trPkJA+LpvZyGrKrBK7eEBv1ClGAZKSbbpYFT34/acJ9eE2Uw+7xUXxjG/vc0s43HvKzfMvu0V80AC/9DIItmYt3INY81i3hAqzYZhIy4JT9U1yhuPWdQQ5MiNwhSTfdNrwUS54JpHTLrajwwd8yFOwAhRP3z20M2FR7FRxqiisTAnLqhChcObE5wrRsVm1qYmd7mIhhUep2cOCoMvYp82Q7tIF787cJa7itIZsbXgmz5CQPp+6/55Z7wSSdBZM63YJHA/DW7bFJtVxfTpVoLS5Q5VVoCNgYlt174rWTfx8hUrGpwc+SN7/kX5/spD1soChQ5tZZePAIzp05ltqy7G7GyWrSbfCF+dvKLSx5cxMRI/ZGs2wbVVGImhaHj6vk0jkTOGq/qvzcRGDbsPmthF/q0y13qBmaN0HluMGNb7A5iyEa7PbwrFEabgcsW2dw2pRearqKAu7y9MQnCtrar1q54cm1fLy9FcuyiVp7pqvaggb3vvEl973xJUeMq+QXJx/AvlVFWYkza0n3yfe385N/fIQNhI3EI5s3vmhg9eZm9qsp5oGLDqfc68xskAMVbgdFSzhy69Mtt6pDsBnI8aT7tXnw4d9imz06KXMr/PxYF5c/E8KhwokTHOgqvLjR4JVNJjefsGfkYRsRfBVT8BgGDkdO3IiJPPDqZ7v43oPvEYwm7+sRH9gtX9/A/N8v58GLjuCg0eUZinCPrNR0/7piEz95/CNChpU04cYFIiaf1rUx//fLaQnkdpMY27YxTZNIJEIwGMTn92Mn2ZHV+Za7YMy6DLTEI9kfznJx64luFr8epubX7Yy+zccf3o1y8uROiVXRsKaeiuXw0tjYyK5du2hrayMajWboBYh8tHpzM999cHWPCbczy4b2kMHZ973Dhvoelm+mScaXjL3xRT2XPLCKULRvdTtdU5hUW8JTlx+NmuqEzCCybRvLsjBNM+GHZVlYloWqqmiaFvtQVUp+OxYlwUg3vozqzyd7er/ldnjg8rehYmx6XtxguvtoqFvTv+c6PHDJyzB8CgDRaJRgMEgoFMK2bdxuN263G5dLlpOJGNOyOfyXL9Lo7/uATFHga8OKeeE/56YhsuQyPtL9xT8/6ZZwt911IcFNH3R5zLfmReoevKbj86hp82W9nzfWN6Qlri4jVJ+P1tZWmpqaaGhoYOfOndTV1dHQ0EBbWxuhUAjLstA0DY/HQ1lZGdXV1eyzzz4MHz6c6upqKioqKC0rQxmX+B+08y33snVRAlGbqGnz7BdRrvnXXsvLimqgfN+0vO7BZNs27XN/ju3ox0SF7ol1HNudcAF0Xae0tJRhw4ZRVVWFqqq0tbVRV1dHS0tLRzIWQ9fL63YRSjDCTSWn2DZsbQry8fbWdIfZRUaLZh9vb2VrU/eJllT5IyZ/fG0DcyfW9Ol5iUale38eH6F2Hqk6nc49o1ZN61/QR10J21bubv7S1Q9nuRhepLL49TBnPx6kxKlw6AiN62bvqV1bDg/B6RejR6M4nblb0zZNk6amJhy10+HUe+Hx78R21qVC98DomXDSH5Je4nA4KCkpoaSkBNM0O345trS04HK5OkbBaZ1wbdwATRtjq1GcJbGJzaoJ6fv/iV7d/doG/JH+92eOGBb3vr6R3501fRCj6llGk+79y7/sKGb31+rNzWxrDjCqwguQNJHunVC73PZrGrqud/xZVdX0vVnHzQVXacKkC3D2NJ2zpyUvLygAB51Jc3MzmqZRXFyM251b/WdDoRAtLS2UlJRQVFQEFQvBUw5Lz4k1LE+27VnbXSaYdgZ88xbQUvtxjP89FBcXY1kWoVCIQCDQLQGr6iDcyJlRWPdPWP5bqF8HmjM2RFKU2EaQYVPg6Ktg0jeT1rNFejT5I6zZNrBRqmnbPPPxDm6zDs5Y2TKjSfedjY2YA7wddKgKyz/ZyrH7lWNZFoqidEmmGU2oqVBVOOVuePjM1Ed+cboH5eu/oqhiOEVAMBikvb2dtrY2iouL8Xg8WV9K19bWRjAYpLKysutIfNyc2HbeeMLa9Sk4nIASW92gOGDGRTDjYigb2e//v6qqeL1evF4vlmURDocJBoO0trbidDo7EnC/7lTqP4O/LIz90oj/4th7Z+FX78Gyy2Lbl897Cmom9vu1iL5p8IVxOlQi5sDXdfsiBqXuzPzSzGjS7ek2oP7xxaB2emOYBs7h3W/dTNvGUHWqq6uzn1BTNf4YWHg7PPWDvt1yH3klHPofHQ95PB48Hg/hcBifz0d7eztFRUUUFRVl/O/Bsiyam5sBqKmpSTyq1HSYekrso20H+HfFRo7ustik4CCPDFVV7fg7sm27IwG3t7fjcDg6EnBKS9Hq1sCfvp5aT+CIL3bdfcfBBc9B7QGD8npEz3q7a041p6iKMuA78L7IaNLtaU1qzanX4xl7cMfnvjUv4vvwhW7XqYqC1+Xsf401W6adHpsQe/xiiIaS33LHT1P4xk0w/ZyEl7hcLlwuF9FoFJ/Px86dO/F6vRQVFWXk7yUSidDc3IzX66WkpCS1J5XuE/vIEEVROpKsbdtEIhFCoRANDQ1omtbxNV1PkPjbd8JfFvTcDa4bO7Yu+y8L4PKVUNy3eQfRd6VuHauHO+dUc0rUtDI2yoUMJ93qYle/lnZ0pipQU5KnS4YmHAs/+hzWvxTbHrzl7ViNUCFWH6yZDEf9J0xZmFKXLV3XqaiowDRNfD4f9fX1uN1uiouL07axwO/3097eTnl5ec7VlpNRFKXjF1VZWVlHAm5qagJidxBut3tPeWTFHUlr8L32BI744O274PgbMvHShqxoNEqJw0AbhBu8MZVenI7MLeTKaNL99hFj+NWz61JexJyIqijMHF81iFFlmKrBxBNjH9FQbKeZbcUmnpz925aoaRplZWWUlJTg9/tpaGjA6XRSXFw8aCsebNumpaUFwzCoqanJvzuNTpxOJ06nk9LSUqLRaMdEoG3buHWV0lV/QknQLe3WFWF+tTzC3fPdzJvgwKnBc+sNnlxn7Em6ZgTevQ+O/W+ZWBtE8XJRKBQiFIrV1d1uN2cfPpolK7b0uskqGa9T47tzM7sCJaPrdE89ZGTSHVqpcDpUzpm5L7pWIM3RdHfslrtsZL8TbmeqqlJSUsLw4cNxuVw0NzfT0NDQ8UPaX4ZhUF9fj6IoVFdX53XC3Zuu65SUlHSsBXZtfAE7yWaWG14Jc8c33Zy6v06RU0HXFBZM0vn1iXuN+G0TPn06Q6+gcJmmSSAQoKmpiR07dtDe3o6maVRVVVFbW0t5eTn/cfTAEqZtw8KDRwxSxKnJ+I60ax77kGXvf9WvGUeXQ+XVq48pjO5jGRJfz2rbdr9WPMRXApSWluL1etMYaY548nJ4/8FuDz+33mD+wwFC15ek1i/j0AtgwW8HP74CF7/zCIVCGIaR0hLA//rHRzz5wVd9voP26BqXHzuB7x/3tcEIPWUZ7yhy/fwprNjQyFetIcw+9B3w6Bo/nT9FEm4f9XfFg23bHbvvqqqqEk84FSJ/4l6+fe4J7K8fxKAywDKhYR18tRrCrbGSl8MTm2cYcVjsFJM02LtsEJ8ALS0txel0pjRAWHzyAWxpCvDeluaU2wt4dI2vH1DL5cfuN9CX0GcZT7qlbp1HvjuLRXevYGdbiKjZe+J16ypXHr8f3z5CDizsr76seDBNk+bmZlRVTb4crFBpiWvgfeoJDBiKAzsaxeFw5PayRjMKm16DrW/FyiJ717LbtsGGf0HNFJhwAnirB/6/NM2OJBsOhzvWU1dXV/drAtihqfzlwsP50SMf8sIndUQNO+l+AIca+8V5zswx/Pc39s/Kv03WzkhrDUb52VNr+b81O1AVpdutgaKAW9cYVuzium/tz4lTa7MRZsGKr3gIBoNdVjyEw2Gam5s7dnwNNdZz16K8c1e3JkV9aVBkKxqh6RfTPvPHmKaJqqo4HI5uH1mvjUd8sPp+CDaAZfRysRKbGDz4fKgY3/f/1e4VI6FQCNM0uzQvGsxf6h9vb+W+Nzby7Md16JrasaRMVRRMy+bfDx3JBUeNY0JN9n62s34wZWswyj9Wb+OhdzbT6IsQNS28LgeHjinnkjkTOGRMeW6PFPKcZVn4/X78fj/hcBhVVRk2bNiQ6eQVX8Mbv8VVd62latlZKAk2sdy6IsxNb0b443x3jz2B0T1w0YsdmyQMw8A0TQzD6PJhWVa3JBz/c9rvLowwrLwDgo19O6lD1eGw70DpqB4v67w5JRwOd1k3nYmfrdZglFWbmmgJRFFVKPc6OWJcJV5n9ns0Zz3piuyL7y7z+Xzout6x3Cxf1uH2Vfz2NhwOEw6H0XW9Y8JG13W4YybUf5rwuQ99FOW2t8N82mB1aVB05OhOb+bhB8D33uw1Dtu2uyXi+IeiKElHx4MyCFn7COxck8IINwHdC7P/G9SuCSxZ2SDlXYBDhCTdIS4ajdLU1NQxeaEoyoBXPCRk27HbWc2Z8ePV9x7NWpbVkWQT3t5+uBT+eVXSA0V7pHth4e/hwNMGFHPnkfHef+48Iu48Qk65XBENwhs3dku4Y8+5k2DYYOMD36XIE6tt3/fMhzz40se8esvZey7UnLD/qVB7UNKyQdo7vuUx+fUzhAUCAdra2igrK8Pj2bMqZNB6PBiRPQ1vdq7ZfXSRGXvTTj0FZl0OtQcO/gsjlrTiSTYSiXRs/S0vL+99w8iBi2DNo7Dpje4NbnricMca/Uw9dWDBQ0fDpr1vxeOnk8STcCQS6fizbdsJR8fdJvO+epfd/eu6MUyL3z2ximu/fWTy4MwIxoaXqLeH9e3vVQCSdIck27ZpbW0lEon0OGM8oB4Pq5bAv26I1QvjPQzitUMjBB89AmuXxfrRnrZkwN25bNvuWOMZDocxTROXy4XH46G8vLxvNVJVhTP+Cg8tgu2rEh622Y3uhVEzYNFfYs9Pk85lh71ZltWlRBEMBjtGx50n80q2vIVqJT4C6erTj+DmR97hsoWHUF6cvLykhZsZVqyilQwbtNc2VEjSHWIMw6C5uRmHw0FNTU1KI9c+9XiwbXjhOlj1p56TlW3GOq7tXAv3HgvnLoPRM/r0WuKj2fhHfNRVVlY28FGX7onF9PJiePee2GOJ+jHEGxQdcSkce13XrlYZpqpqxxbnvXUeHSs9NPI5bOI+HDNtDL95dCWLL5iT9DpFdaBF2oHhgxH6kCJJdwjp1my8j1Lq8fDm72Kj3FRGhwDsrvU+eApc8ipU97xYvXNtNj6ajTeyGfQZf80BJ/wPHPOT2Kj8rd9Dy+bYzL/ujh2hdOQVMOXk2Oc5rEu5opfVCj8/fzZHXfUgV55yWPKLbLv7ml6REkm6Q0TSZuP9EO/xUFxcTCAQ2HOqhd2O+5UbwQx3e06v3bnCPnjqCrjw2S7Pi58M0Xk0G0+yGash6h44+KzYRyFQHZCkvABwwLga5s+cwK/+voL9xyTZDKEosRq26DNJugUupWbj/aQoSscEWzAYxHzxFmy6T9Gk1J0LO3YKQ9OXRIpHdhnNxpcelZaWZn9DQSEoqob2HT1e8rPzZnPIZUv40WmHJ77AMmL9oUWfSdLNB7Yd247Z8BlE2mOjDGdp7Hyu4uQ79frVbLyfPE4HrH2o2yg33p1ryUkeTt1/z06uBZN0FkzqurPLtkwCr9yGf/b1fd5/L/pg3znw6RM9lgf2G1nBGXP35/YnVnHguATJtWJC7Igi0WeSdHOZZcCOD2DzaxBq3b2uMr6sWoFNr8b2wo+dC8MO6DKJk/Fm49tXJ6wVrthmEjLglP17/1FTrCjejc9Q9O+3pyNCETfsAPh0Wa+X3XDOUfz1xY+7f0FzxhK36BdJurkq4of37oNAY5L6mx173LcDPn0ctr0DB5+PrTmz02zc35Dw4b5251LC7YMZlUhEdcR+UX/5SpefrU0PXtblstHDSgk9c3WXx2wUbHcFasW4jIRaiIZQ+6g8YoRi++L9u3qc8OhgRqB1K/aqP1K/c0d2mo3biXuZdu7Oldr3ydwBgUPa2GOgenKsl0KqFBX0IupHLSA4wMb4Q5kk3Vz04YMQbutbArINbH89lXWvUF6ehSZBngoS7XKaNUrD7YBl61Lc4+8cep3NskJR4MAzofZgUFNYBaI5wV2BMvMKKmvH0NraSltbW9rDLESSdHONfxe0bu42chx7zp0MX3Q7/uCeyY/7nvmQY370UMfnqm3gaFoXO5U200YcEuvNupcyt8LPj3Vx+TMhlq2LEojaRE2bZ7+Ics2/9hotKRrs928ZCligqLD/KTD9fKiaFCs7dB75Kmrsc281TFoAM68EVym6rjNs2DDC4TBNTU1I+5a+kZpurtnyJliJR7gp7Yu3ge3vwPjj0xNfMq7i2DHz7z8EdtdR7Q9nuRhepLL49TBnPx7s0p2rC4cLZn0/g0ELFCXWH7difOzuatfa2GYVywC9CCrGQdnobk9TVZXq6mpaWlqor6+nqqpKlvOlSJJuLjGjsON9IHHSTWlfvG3A1hUw7t9ib6hMmnkZfLQUjO6lhLOn6Zw9rZf6YfkYGHFwemITvXOVwuhZKV+uKAoVFRW0t7dTX18/KBtvhgIpL+SScFuPibLzvvgeGaHsbNEcNjnWPUzvxzl2Dg9869bBj0mkXUlJCeXl5TQ2NhII9KMd5hAjSTeXGGGStdyL+/n5s/n9stXUt/Tww61oCbfiZsTCP8DomX1LvA5PrAft2KPSF5dIq/gZZ21tbTLB1gtJurlE09mz+SGxzvvik7KtpAcspp3mgLMfgwNPj9Voe4rDWRzb1XTmgzBtUeZiFGkhE2ypkaSbA+LnSbVFFGwr8XrXzn523mzuffZDtjcmWaWgaqBl8YwzzQELb4cr3ovVeV2luxNsaezD4caonIjx9V/D1RtgvwxP+om0iU+wKYpCfX09ptn7z/NQIxNpWRBvuB3vnBWNRjvO6bIqJ6E2forSw4i3x33xigYjDsv8JFoiZaPghJ/F+sw2bYRQS2w0XzSMoFaOZVmUZfjoHpF+8Qm2eO9lmWDrSpJuBsSTbLwXbCQSweFw4HK5KCkp6drUZfxcaP6i151oSffFKwqMzrHaqMMZm2TrxGMYNDY2UlZWlqWgRLrFm9zH/529Xm+2Q8oJcjBlmnQeyXZOsvHO/klbLNo2vHN7bJNEX7fEKlpsXeUhFw38BWRAfX19ZvviiqyIRqM0Njbi9XopLS3NdjhZl9dJ17Zt3tvSwr2vb2TlpiYCEQNNVajwOjlzxmjOOnwMVcWZuX01DKNLklVVteNUgx6TbCKh1ljijQbpbWKtg6KCswRm/iB2Xlce8Pl8mKYpo90hwLIsGhsbUVWVysrKId2uM2+T7ivrdvE/T62l3hcmFDXZu5+KW1exbTh2Ug2LTzmQ6kFOvvEkGy8ZKIrSJckOeHeOvx5W3xs7BjxJM5kOqgNcZXDoJeDOnwRmmib19fXU1ibvCSwKh23btLS0EI1Ge93Btr0lyPbmIIGIQYnbwdiqoowNoNItL5Pukje/5Kbn1hGK9n777VAVKoqcPHrpLMZW9/1csLjOhyBGIrGNB/EE63K50rMFMuKP9dLdthJIcCaV5oqNcEcfCfvOji3RyjP19fWUlpZ2O2pcFC6fz4fP5+s2wWaYFi+t28Xdr23gk6/acDr23B1GDIuj96vmO3PGc/i4/B4p513SfXz1Nq5dtialhBunKFBd5OKZK2dTU5Lam9s0zY5RbDgcxrbtLiPZZMeWp4VlwK6PiWx7H80KoalabAlW7UG72/Pl7553n8+HYRiUl5dnOxSRQaFQiObm5o4Jts/q2jn3/nfwRwz84cR3dgrgcWqMqfTywEWHM6wkP89oy6uk2+SPcOT/vkTI6HvPVYeqcNzkYdxzXuITTi3L6lIusCyrYxTrcrkym2ST2LVrFxUVFeh6H3qg5rh4iWH48OF5PXoRfWfsXsGyoTnKxQ9/TDBipjSD4VAVyr06T19xNPuU9WPLeZbl1eaIv63c0u2xbXddSHDTB10e8615kboHr+nymGHZvPp5PQ2+2PbY+Cmzra2t1NfXs3PnToLBIJqmUVFRQW1tLZWVlRQVFeVEwoVYgiq0Tk6apuFwOAiHs7RtWWSNw+Egqhfznb99TCDFhAux93JzIMqZ97xNIJJin+YckjdJ17Rs/rT8y36NcuMUYMnrX3QkWb/fj6ZplJWVsc8++1BZWUlxcXFOjiQty0JRlEE9zTdXeDwegsFgtsMQWXDHqxsJRruWE1IZSJmWza62EE+8tz0TYQ6qvHkHf7C1hZAxsC2FYcPiiQ/rKCsro7a2lqqqKoqLi/NinahhGAU3yo3zeDwddXMxdPjDBk+8vw2zn+OoYNTi7tc25N3PTd4k3fr2EEovHbhS0Ro08vJY70IsLcSpqoqu61JiGGKWfbAddYDvw0Z/hFWbmwcposzIjWJlCiJm8t9m9Y8v7jqDbxo4h09IeG3KByTmGNM0c6a2nA7xEkNGjosXOeHFT3YSiAzs7jUUNVmxoZEZYysHKar0y5t3canbkXScW3Pq9XjGHtzxuW/Ni/g+fCHhtV5nfo4WCz3put1uWltbsW077+5CRP80B5L3F0l1IGXZdEyO54u8eRdPG1VOpL/Fn90UBQ7Lo9+InRmGUdAbCFRVxel0EgqF8HjybxmQ6DuHmvyXa18GUrqWN1VSII9qupVFTo6bPIwe/p165dE1Lp0zfvCCyqBCH+mCrGIYamrLBl5K0jWF4aX5NRjJm6QLcMmc8bj0/pcHqoqcHLpvxSBGlDmFPJEW53a7OzamiML374eMGnC5T1UUvj51n0GKKDPyaug0fXQ500eXs3pzM+Hd63VHfe9P3a4rPvB4ig/sehqBW1f56fwpeVkvNE0TRVHyMva+iHdmC4VC0nt1CJgzsQaPrg1oMu2g0eWMqcqvn5W82gYMsbV9J9/xJluaAh2JtzceXeOHJ0zkkjwtLUQiEdra2qiurs52KGkXDAYJBAJUVVVlOxSRAXe8sp7fv/RFvzY9eZ0af/j2dI6bPDwNkaVP3iVdiCXeix9YxYdbWwhGTZK9AtfuLkWLTz6ARYeNzmCEgysYDBIKhaioyM/SSF9YlsWzq9ez7JNWPt/pwx8x8DodjKsu4sKjxzF7v2rUgRT2RU4JRU1OvfMtvtjVTrSHZaF7c+sqx00exh3fPiTv7gDzMulCvIF5M/e8vpFXPqvHqanY2Cgo2Ng4NZULjx7HWYePGfReupnW3t6ObdsF3XXftm0eW72N2178nGZ/hFDU6rYXv8ip4XU6+N4xE7jgqLF592YTiTX7I5x291tsaw6mdPfq0TVmjK3gvvNndGn/mC/yNul21ugL89H2VtqCUZyaSnWJi0PGVKAVyIiopaUFp9NZsHVOy7K5btnHLHt/e7d9+Il4dJVjJg3j9rOm591yIZGYP2xw7RNreO7jOhSFhK1bvU4N24b/OHIsP543KW/f3wWRdAtdQ0MDJSUlBbtO92dPreXv725NKeHGuXWVE/Yfzu1nTZcRbwFp9kdY+u4W/vzWZhp8YQzLRtcUxlR6uXTOBBYcNAJPnm5wipOkmwd27txJdXV1QS4Ze3N9Axf/ZVWfEm6cV9f41WnTWHjQiDREJnKBadl5O6JNRu7Ncpxt21iWVZAtHQHufGV9v1r7AQSiJne+sj7dIYosKrSEC5J0c1484RbiLfT2liDvDrBD1KZGP5981TZIEQmRfpJ0c5Bt22xrDvDx9lY+2NJEXXs073qGpuLJ97enfMJ8MhHD4pFVWwcnICEyIK92pBU6X9hg2fvb+ONrG6lvD+PQVMDGMG3KvZ9xyexxnHbYaMo8uXeyRX9sbQ4OuImRZcOWpsAgRSRE+knSzRFL393C/3tqLaqi7NkW2WnNYl1biN+88Dk3P/8ZV8+bxMWz83N3XWc9nW/Vlx7J/ZmEEyJbJOnmgN+/9AV3vrq+12Pl48nllhc+56uWIDcsmJqJ8NKmqij5MUl9ae1X4S2Mkb8YGqSmm2WPr97GHa+uJ9hLwu0sGDX528qt3L/8yzRGln7Tx1RQ5BrYMjiPU+PwPO2RLIYmSbpZFDEs/t/Ta7uNcFNZMhWMmvz6+XX4wvl3BHXcvKm1Az73zrJsTj101CBFJET6SdLNoufW1mENYFWCqig88d62QYwos5wOlXNmjkHX+pd4NVVh/rR9KHVLeUHkD0m6WXT3qxvwh/s/CRSImPzxtY15vZzsgqPG4d6rMf2o7/2pSz0XYj2Sa8+5uctjTk3l8mP3S3eIQgwqSbpZEoqafLazfcDfp94Xpr49vw7m62x4qZsHLjwcTx9PBHHrKnefeyjja4rTFJkQ6SGrF7KkNRhF1xTMJEfCp7pkStdUWoJRhpXm79Hl08dUsPTSmZx7/0oihtXjEjC3rqIpCvedP4NZE6TRucg/knSzRFFI2nwdUl8yZWOjFsAW4Wmjyln+k2N5/L3t3PP6RloCEWzAMC00VUVVwet0cPHR4zhjxmjKvcmXmwmRyyTpZkmZR8dIMsrti4hhFcw61RK3zvlHjuW8WfuyenMzG+p9tIcMil0OxlR5mTmuSk6NEHlPkm6WuByx7vdvb2wa0PeZUFNMVZ6fjLE3RVE4bGwlh8n6W1GAZCItiy6dO4GiATRkLnJqfO+YxFtjhRC5SZqYZ5Fl2Rx+44s0+CL9en6xy8Hqnx6Py1F4zc2FKFQy0s0iVVX43ZnTcet9/2dw6yq/WXSQJFwh8owk3Sw7ar9qbv73aX1KvG5d5bpv7s/XD6hNY2RCiHSQ8kKOeGt9Az985EPaQ1H8kcTrVItcGm5d46ZTp3H8lOEZjlAIMRgk6eYQ27Z5a0Mjf3xtA8vXN3ScD2VaNjPGVvLduROYM7GmIM+NEmKokKSboyzLxhcxsG0ocTlkfaoQBUKSrhBCZJBMpAkhRAZJ0hVCiAySpCuEEBkkSVcIITJIkq4QQmSQJF0hhMggSbpCCJFBknSFECKDJOkKIUQGSdIVQogMkqQrhBAZJElXCCEySJKuEEJkkCRdIYTIIEm6QgiRQf8f47w2PA57hacAAAAASUVORK5CYII=\n", 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", 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\n", 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Sn0PPqvzpBIoK/nY49EI44rPQMr22hU8CmUyGWCyGz+cjFArJ/PokJaErigz2aQgFg/iXXw9P/AQcu3SjbM2Tb+W01wlw5q8h0FH1ehud4zgMDAyQyWQIh8NypeAkJ6ErSjKNHLm7Lsb39oMoRnrsJ6guCHTCZx+CNjn+vVyGYRCJRHC5XEON58XkJqErSnvw33FeuAHFLCNwBykqtMyALy4BX/U78jeakn0TxKQnoSuKbVkO150KJQL3tpUGi5dmWd1rE/IoHDxN5fLjPDuO8lbdcMin4MNXV7noxmFZ1tAxSiX7JohJTZZGRbFnrik6yhvyJxBcuSTHb87wcuo8HbeWP2323tXmjtC1c7DiDjj1x+CexFudkn2Q3Jb/c/K2QessUMcOz3H1TRCTkox0RaF0FH66D5jZgrtjGYeZi+PccKaPs/cf45p/VwBO+y847NOVq7MWLBPeeBCe/ln+3YDmzm+bsy3QvfmOXYdfCMHis7ekb4IYJLP2otCbD+cXxXaydKNFxoSP7lvGmyMjCS/dVIHiauidZ/L/GP3lC7Dx+fwIN5eAbByMVL6D15LFcPUBcP+38kG8XS6Xo6enB1VV6erqksBtcjK9IAole0pOLfSlHDr9CvooJ60Wfp3eCS6shtY8AHddWHKOu8DgMTkv3wyR9TifuI14MiV9E0QBGemKQrYJJWacOvwKvSkH0y5vNsq2csTjcZLJJOl0mmw2i2ma2HbxoYl1beOL8KcyAnc4I4Wz/kkyf/4SpmkyZcoUCVwxREa6opCvDTRX0TEvi2ZpeHW4Z7XJWfuN/fbY8bYCDAWtZVnYto1t2ziOg6qqBTdN00b8uKZXZv396zDCPuXRdnIoRhrvG/fhO+EyUKWJkNhBQlcUmntM/uqznbR6FX50godL7s+gq3DKPB2XCo+sM3l8vcVPTh42ktM8aAtOJxQKlfwWjuMMBfDOgWyaZsHHtm2jKMqIgbxzWE/oxQXbVkHPGyU/Vc5ODsUy80fmfPhnE1eTaHiye0EUu+4UePfZkp+6dYXB1cuyrOq1CbkVDpuhcflxbo6ePezfb80DX3sZWmdOSDkjBfTOH1tWfvFqPAE96ij63q/AK7eBYxXcPb6dHD745trJvX1OjIuMdEWxYy7F+fPnUIxk0afOO8jFeQeNETR7HDNhgQuMawQ7fBS9c0AbhlH0udGmOPxrHkDZKXBhnDs5VBe8+xzMO2G8P7aYpCR0RQHbtol2HkEoPB+9bxVKiZ0Mo3L54ZQfV6a4MiiKgqZpaJpW1tas0QK6ZIMfxrmTw3EgHRnvjyEmMdm9IIZks1l6enrQ3R70C+9FaZ2VvwCgXLoPzrkZpu5fuSInmKqq6LqOx+PB5/MRCAQIhUK0tbWhKKV/Pca1k0Mh35NCiO3k1SBwHIdYLEY0GqWtrS1/8KEvDBc/AbMX5kevowWHOwjeVrjgHtj7pKrVXXGe0o3ch+/kKItfdi+IHSR0m5xpmvT29mJZFl1dXXg8nh2f9LbAZ/4OF94P+38MdE8+iAZvui8/qj3jZ3DZmzDnqJr9HBWx/0dKXp03fCfHPasNUoaDYTk88KbBtx7OFD7YcWD2kdWpVzQE2b3QxAbP4WppacHv94/9hHQU+t6CTDQfuC3ToX2vSpdZO/3r4NeLdlxptpMxd3Joblh4MZx6RRWLFvVOQrcJWZZFNBrFcRza2trkHK7RXH8abFgG7MKvie6FS56D8NwJL0s0LpleaDKZTIaenh7cbjcdHR0SuGP58C92bY+tyw+LviqBK4rISLdJDC6WZbNZOYdrvN5ZCrd+HHIpyhrxuvxwwMfhX34pJyaLIhK6TWDwHC63201ra6ucMrsrul+DP14AA5vzc7wlLpW2Xf78W8f3fRuO+VcJXFGShO4kJ+dwTSDHgU0vwjO/gNX350NVUfOtMNv3InbgRQSOPB/dV3qrmRBQB6Fr5Cy2vRNh6/oIZs7CsR1UXSUU9jFjfgctHX4Zme0COYerwmwbsjGwjPweZd1DPB7Htm1aW1trXZ2oYzULXTNnsW7FFvq2xFEAu8TVPaqm4HJrzN1/Kp0z5YVcLjmHqzYsy6Knp4epU6fKQEGMqCahm00ZrFzyNkbGLNUvu4iqKczau5NZC7oqX1wDk3O4aq+/vx+v11vevmfRlKq+ZczMWby6ZD25MgMXwLYcNr7Zy5Z1/ZUtroHJOVz1we/3k0qlal2GqGNVD923X91KLmOUtfPmutt/xQ+v/jaQD971r3WTTRtjPKu5OI5DPB6nv7+f1tZW2Z1QY16vF8uy8l3KhCihqjvjTcOid9NA0Qj3oSf+xh333cSGTevw+wLsved7uOCsi0t8BYctb/ezx35Tq1JvvTNNk0gkgqqqTJkyZWJPTRC7bHC0KwtqopSqhu62d6MoSuEg9457b+Tmu6/jm1/8D4485BhcuotlLy3hqecex+cp3OLk2ND9doQ575mCWu6ptJNUKpViYGCAUChEICCnEtQTv99PT09PvlubvOsQO6lq6Havj2JbOyI3kYzzh9uv4btfvYL3Lzp56P5jF57AsQtP4Lrbf1Xy6wz0Jmmb0uCr8t2vwdJfw8ZnIZvIH3HTOhMWfh7ec0b+cMgSbNsmGo1iWRadnZ1yGW8d0jQNt9tNOp2WBTVRpKq/sUa2sP/oq2teIZfLcfxRJ5b9NRzHIZcps49pPXrrUXj4+/luXbaRP/J8UHQ9bFkO9/0rHPkFOP6boO+4XDebzRKNRvH5fITDYRlF1TG/308ikZDQFUWqOgm48+60WDxGa0sbulZ+9jtO/rLWwUMIG8qya+GO86B7JZjpwsAdlEvkN90/8wu44TTIxHAch4GBgcIm4xK4dU0W1MRIqjrS1XQVy9hxzXprqJXYQBTTMssOXkWBnJGlt7d36GDBwTOxSt3qZnHpxf+FR3+YD9tymBnYuhL75o/S9+Gb0dw+urq66ufnEWOSBTVRSlVDt7UzQM/G2NBK2gELDsbtdvPUs49ywtGnlvU1HAdmzJ2Kx+caOvnVsqyhm2maZLPZoY8dxxk1lDVNq/yoMbIeHvjWiM2wR2TlYOtrtK74Pe5TflCJykQFyYKaKKWqoTtjXgd9mweGFtOCgRCf++RX+Olvr0BTdRYecjS6pvP88mW8tPJZvJ7iBi0tHX48vvwi0/CTX0fiOE5BKFuWRS6XK/h4+NcZ6bZbnvtdya5UALetNFi8NMvqXpuQR+HgaSqXH+fh2Dn5vxrVyuB+6Xo48fIRF9dEfZIFNVFKVUM30OrFG3CTGsgO3feJMz9DuK2TG+/6LT+8+tv4fX4WzNufT599Mc+9/EzB81VNZeb8jnF9T0VR0HV91FX+nUfLg3Nxg/+/W9MYRiY/tVDiKPPFS7NcuSTHb87wcuo8HbcGD75lcu9qcyh08wVasPrv+TO7REPx+/3E43EJXTGk6r0XYj1JVj27oWDrWDkUFQItXg48fs+qv1UrNY2x822kaQzX2ofQ/3oJSi5R8DVjGYeZi+PccKaPs/cvYwS7x7H5QyJFw+nu7qa9vV0uzRZAlUe6AK1dAfY4YBrrX91advAqKri9LvZbNLcmc2O7M41h976NbhWvYC/daJEx4aP7lvlXENu0q+WLGpMFNTFcTXbWT9sjjO5SeevlzeCUbus4SNUU/C1e9ls0B91Vvz1hR5zG8Ogl53P7Ug6dfgW93CvrzOzYjxF1SRbUxHA1u5ypc2YrrV0Btr0TZfPaPizLQSG/O0FR8kHc2hVgZqM3Mve05BfA7MLRbodfoTflYNpOecHrDVWoQFFpsqAmhqvpNaQut87MvTuZMb+DRCRNLmNi2w66SyXQ6sXtnQRzYDMOLnn3olkaXh3uWW1y1n5j/JyKDrMWTnxtompkQU0MqosL9xVFIdQ+SV+M098LbbOhZ03B3a1ehR+d4OGS+zPoKpwyT8elwiPrTB5fb/GTk707Hqy5YNElVS5cTCSv1zvUYF4W1Jpbzc9Iawqv3A73fwNyyaJP3brC4OplWVb12oTcCofN0Lj8ODdHzx727+H098IXnqxiwaIS5Aw1ARK61WFk4JrD8sd3j3CRxIh0H3zydph3QmVqE1UjZ6gJqMHJEU3J5c3vsfW25ve/lf08H5z8QwncSWL4ghoAlgmpfsilKPvsKtHwZKRbTZH1cOOHIB0pOdUwyNHcKIoKH1oMh5xXvfpExWXjfeReuJXQiuvzrwfNlb/iUHfDQZ+ERV+Gzr1rXaaoIAndajMy8Po9sORqiL4DKPkWj4oKqgsHh+S+5xB4/6Uo4bm1rlZMFNuGf/4XLP0ltqOgmiUOr1T1/G3aQXD2jfmm9mLSkdCtpS3LYcsKyMTyUxChGTD/RPoHkng8HjmGZ7KwLfjjp2Hto2CUcVKwooG3BS76B3QtqHx9oqokdOtQLpcjGo0yZcqUWpciJsJf/xVW3AlGmb2UAVAg0AlffBpCchDrZCILaXXI7XajqiqZzDj774r6s+mlEQP3tpUGh/8uQfA/B5j+0zin35pkyYbB00QcSEXg4f9b3XpFxUno1qlAIEAikRj7gaK+PfPLkn0zFi/NcumDGb57nIfuy0JsuDTIlw93c+/qYUc4OSa8fm9++klMGjK9UMe6u7sJh8O43e6xHyzqT6ofFu9bdGLIuNp6uvxw4vfhqC9WsFBRTTLSrWPBYFBGu41s7WP53Qg7GVdbTyMFr9xageJErUjo1jG/308ul8M0G/jI+WaW6oMSvZTH3dYz3T/BhYlaktCtY4qiEAgESCZHvpBC1DHbYugU1mGGt/Usy3gvHRd1TUK3zgUCAdLpNLYtv3gNxxcGtXjOdnhbz3I4HmmQM5lI6NY5VVXxer0y2m1Eex6fv9pwJ8Pbet6z2iBlOBiWwwNvGnzr4cJFN0fzkJjzAfr6+kgkEjLVNAnI7oUGYJomvb290p2qEd30EVj3eMlPldXWU/Ngf+0Vcp52stns0N5tj8czdBvxJGpRlyR0G0R/fz9er1dOHmg0ax/HueNclHIu/y2iwN4nw3l3FdxrmibZbHbo5nK5hgJYthfWv7o4OUKMLRgMEo1GJXQbiGVZRFoOoGXaobi2vIBijvMKQ3cATrmi6O7BA1ADgQCO45DL5chms8RiMSzLKhgFj3aCtagNGek2kJ6eHkKhEF6vd+wHi5pKpVIMDAwQDAYJulW4/jTofQPMMvsvuPz5Ee4ex47r+1qWVTAKHlwTGBwFV3t6yrId4hkDw3Jo8el4dPlHQEK3gaTTaZLJJJ2dnbUuRYzAtu2hs9DC4fCO89CMNNx9Mbz5UH4rmV28fxcAdzA/wj33jyMeajoehmGQyWTIZrMYhoHb7cbj8eD1etH1yrzRdRyHlzZE+O2T63hs1TYUBVRFwbBs9uoK8qX3zeNDB03H62rOAJbQbTByaXD9ymazRKNRfD4foVCo9Kiyby0891t4+RZA2X6SiANmDmYeBsdeCvNPAnXiA8m2bXK53FAIw8QvyL22OcYlt75EdzxLxrBKHogRcGs4wGWnLOCiY/fc7e/ZaCR0G0wymSSXyxEOh2tditjOcRzi8TjpdJq2tjY8Hs/YTzIyEHs338xG90JoWr6VYxUNLshlMhlyudxuL8g9s7aXz974AmnDKuvxPpfGOYfP4gf/sn9T7cqR0G0wjuPQ3d1NV1eXLJLUAcMwiEQiuFwuWltbG3b71vAFuWw2O+4FuVVbBvj4tc+QypUXuIN8Lo1LTpjHVz7QPEcUNeYrpIkpioLf75dGOHUgkUjQ19dHMBgkHA43bOBC/nXl8XhoaWmhq6uLrq4uPB4P2WyWnp4etm3bxsDAANlsllLjtG//eUVR4G689iLS618puC+x8hG23vKtoY/ThsUvHnuL7oHm6R3duK+SJiaXBteWZVn09fWRyWTo6uqalNv4NE3D7/cTDoeZNm0abW1tKIpCPB5n69at9PX1kUwmMU2Tt7bFeaM7vlvf7+al70xQ5fVPQrcBaZqG1+slldqVDfdid6TTaXp6enC73XR2djbNFI/b7SYUCtHZ2cnUqVMJBAIYhkFfXx/XPPw6hrnrA4CcaXPT0vUYVnMMIiR0G9Rgr12Zkq8O27aJRCLE43E6OjoIhUK1LqlmBvf+trW1MXXqVP65Noa1my9D23FYuak5TsiQK9IalK7ruHSd7OpH8L74G9j4Qr7htarnu1sdegEcfhEE5XDL3ZXL5YhEIni9Xrq6uppqpb0cyezITXh67v5x4fY3y8Q9dV7R4xRFIZLMVaK8uiOh26heu4f2B/8dJxPdfujh9qGGlcuH75Kr4anFMP9E+PAvINhVy2ob0uBWsFQqRVtbm1wJOILR3mx1fex7+PY4eOjjxMpHSCx/qMQXgXLbCzc6mV5oRE9eBX/5Ikp8M6qRolSjbMwMWFl482H4zTH5TfmibIOd3UzTZMqUKRK4o/C7d39e2wHC/jHOi5skJHQbzfPXwVNXlX8Nv21AYhvccDokeipb2ySRTCbp7e3F7/fT3t7e0FvBquH9C6ZQ7slDI3EchwNmNkezdnk1NZKBLfCP726fThgPJ38y7f3fqEhZk4Vt2/T395NKpejs7CQQCNS6pIZw8fF77VYjG5em8H+OmN00vRjkirRG8tgV8PTP89MGO7ltpcHipVlW99qEPAoHT1O5/DgPx84ZNm2ve+DrqyDQUcWiG0MmkyEajRIIBAgGg7JYNk4nL36CN7ft2gU7Hl3l4a+/jzkdk2+/cyky0m0UlgHP/a5k4C5emuXSBzN89zgP3ZeF2HBpkC8f7ubeojO4FHjppurUWyvjvGDEcRyi0SixWIz29vaRG9WIUf3nxw7E6xp/nPhcGp9YOLtpAhdkpNs43n4K7vgkZAuv/IllHGYujnPDmT7O3r+MhYj2veBrL1eoyBrIxmH5nbDsVxB9Nz+HrbqgZToc+WU45Fzwlp4rzOVyRKNR3G43ra2tEra76e8rNvONu5aTMcr7h8/n0njfPl38+rxDUXd3UriByJaxRpHoLrlJYelGi4wJH923zL/KVP/E1lUrlgEPXQ4v3gSKkt8mN8g2ILoBHvsRPPoDeO8n4PSf5KdXtovH4ySTSVpbW/H5fNWvfxL60EEzaPO7+fKtL2HaNsls6eY3Xl3FAc5fNJfvnPaepgpckNBtHLYJFI8g+lIOnX4FvcwXrmMZ5LJZNE1DVdXGXJnPpeDmj8LW5aPv4hgM4uV3wuZX4NN/xdT9RKNRFEWRTm0VcMz8Tl743kk88no31z6xltVb4rj1/GvMsh18bo2Ljt2DTx4xh45gGS0wJyEJ3UbhbQWlOCA6/Aq9KQfTdsoKXseV71BmWRaWlR+JaJo2dFNVteDjwfvqhm3BnefBllfye5HLYaZh2yqsW86i9/TrCLW1y86ECnJpKqcfOJ3TD5xObyJLfzJHzrRp9bmY0eZDa7KR7c4kdBvFzMPALF5EWzRLw6vDPatNztpvjDldRUXd83g6OnbsXrBtG9u2h0LYsqyh5taDHzuOUxTGpT6uypzoq3+GDctKBu6oOzisLMrWFXRt/AfazM9Vvk4BQGfQQ2eTjmhHIqHbKIJT8pf0rnmA4ZO7rV6FH53g4ZL7M+gqnDJPx6XCI+tMHl9v8ZOTh11JpXvhmK8WfNnBKYbRzstyHKcomC3LwjCMof+3bRtFUcYcNe92MC+5unD+drvFS7NcuSTHb87wcuo8HbcGD75lcu9qc2jbnGqmYdkvYeFn8/PAQtSA7F5oJO8sxbnlYyglQufWFQZXL8uyqtcm5FY4bIbG5ce5OXr2sDDt3Ae+8nzFyhsM353Defh9QMnpi7KmM7asgOtOKZrHHdcODlcAzv8LzDlyIn5kIcZNRroNwnEcBlr3xdd1IK7uV1B22q973kEuzjtolMDRvXDalRWtcTA0h07ALaHUdIZhGGVNZ3iW34Vu5dh5jDquHRxGClbcKaErakZCtwEMP4dLv+BPKNedDP1vl7xQoiTdB6f+Z356osbKnc4oNWq2I++iOMXbkMa3g8OB+Obd+AmE2D0SunUukUiQSCQK95N+7lG441zY+Hx+QckZYTO6y5/vu/eRa+GAj1av6N2kKErpUB7h1TreHRxYxu4VKMRukNCtU5ZlEYlEAIr3k3qCcMG9sOkleOYX8MaDoLnJL7Ap+RB2B+Hor8Ih5+Wbmk8GIzRkH9cODoCA9BYWtSOhW4fS6TSxWIxgMEgwGCz9IEWBWYfBOf+bv8psy3LIxPJXXQWnwPRDoJ72106EvT4AL98KucLGKuPaweEOwvyTqly4EDvI7oU6Yts2sVgMwzAIh8OjLkg1JduCq/aGVF/JT5e1g8PTAt9cC7q7SkULUUhCt04MP4erpaVFmq+M5Mmr4Mn/Kf9qtOE0Nxx1CZz8gwkvS4hyTbL3n43HcRwGBgaIRCK0trZKt6uxHPFZ8LWBMt6XrpIf5S66pBJVCVE2Cd0aGn4OV1dXl5zDVQ5fGD5z/4i9KEpSVPCE4DN/kwM6Rc3J9EKNJJNJ4vE4oVBImq/siui7cPNHIL61aGFtOMcVQPF3wKfvzfcSFqLGJHSrzLZtotEolmURDodHvUhAjMG24e0n8kcYbXgGtGGNVawczszDiOz/adoO+ziqJn/Ooj5I6FbR4Dlcfr9fjoWZaPFuiLydP0nCHYTwXGiZQSwWQ1EUWlpaal2hEICEblUMLpZlMhnC4TBut2xXqhbLsujp6WHKlCn11RdYNC15FVaYYRj09PRg2zZdXV0SuFWmaRoej4dUqrgzmxC1IKFbQYlEgr6+PkKhEOFwWEZaNRIKhUgkEsibOlEPZHVhFCs3xrhl2Tus7UmQNixCXhcHz27j/EVzmdk28mGGo/ZNEFWn6zput5tUKiU7RUTNyZzuThzH4b7lm/nFo2+yOZoha1rYw/6E3JqCoigcNjfM10/ehyP2aC94fll9E0TVDV7xN2XKFFnAFDUloTuMadl8+88ruH/lVtJG6eOjh/O6VL73wX351KI9pG9CA+jr68Pn8+H3+2tdimhiMr2wneM4fOvPK3hg5RbSxgj9aXeSMWyuuH8VmuLwgT39eL1eurq6ZCRVp4LBILFYTEJX1JSs7Gx3zyubeGDl1rIDd1DasPnB31bTZ+jSN6HOeTweVFUlk9mFZjlCTBAJ3e1++ehbRVMKG6+9iPT6VwruS6x8hK23fKvgPst2uPV5OQKmEQSDQeLxeK3LEE1MQhdY/m6ULbFdH/2YtsPdL20ilTMnsCpRCV6vF8dxyGbLPF9OiAkmoQvctHQ9WXPshbPRKAo8+OrWCapIVNLgvl0hakFCF1jXmyzYFrYr0jmLjZH0xBQkKsrr9WKaJrlcrtaliCYkuxeAVHbkUW7P3T8GddjFDZaJe+q8osc5QDwjp8w2AkVRCAaDJBIJ2tvbx36CEBNIQhcIeUf+Y+j62Pfw7XHw0MeJlY+QWP5Q0eNUBdr80lehUfj9fuLxOIZhyJ5qUVUyvQC8d3YbLnX3tnr53Br7TA1NUEWi0oaPdoWoJgld4IJFc1F3M3RdqsoJC+QomEYSCATIZrOYpuw6EdUjoQvM7Qhw4MzWXX6+R1f59NF7oGvyx9lIFEUhEAiQTCZrXYpoItJ7Ybtn1vZy0Y3PkxnnFWkAQY/O45e9n66QZ+wHi7pi2zbbtm2TbnCiamRott3R8zr55qkL8LnG90fidWnceOERErgNSlVVfD7f0Gh3IGPwRneclzdEeLM7TiIrUw9iYslIdyc3L13PFfevwrAcrFE277p1FbemcsOFRxS1dxSNxTRNHluxnj+9GuWfa3pw6yqKArbjYFoOp+4/jc8ftxcHztr1KSghBknolrBma5w/PLWOv67YjKoopHL5fbwK4Pdo6KrKBYvmcv6iuUwJeWtbrNgtW2JpPnP982zoT5I17ZIXyagKeHSNfaYGuf4zR9ARlHc1YtdJ6I4injF4YOVW3o2kiGdMwn43C6aFOHHfKbhk0azhvdOX5CO/epqBjDnqu5pBLlUhHHBz31eOZVqr/GMrdo2ErmhK0VSOU3/2JD3x7LguAddUhdlhH3//2nEEPHJtkRg/Ga6JpnTdkreJpoyCwC2nladlO2wdyPDH59+tUqVispHQFU3HsGz+d+l6sub4twdC/sSQ3z61Tk4XFrtEQlc0nUde78aydi8w42mDpWv7Jqgi0UwkdEXTefj1bpK53eufnMxZPLZ62wRVJJqJrASIptObHPnUiHJbeQL0JuT0CTF+Erqi6aijHB5abitPYLebJInmJNMLoulMbdn9PbaqMjFfRzQfCV3RdD580Az87t1rbuPRNT54wPQJqkg0Ewld0XSOntcx6mkh5ZjR5pVeDGKXyBVpoin94al1XPXQml1q5elzafzozP05+/DZFahMTHYy0hVN6VNHzWWPjsC4j2ly6yr7z2jhI4fMrFBlYrKT0BVNyevSuO3zRzGr3Y9HL+/XwKOrzOsKcsOFR0jDI7HLZHpBNLVE1uSyP77C42t6AEpeGux1qTgOnH7ANK78+EF4XXLChNh1ErpCAN0DGW5e+g43L3uHeMZA11RMyybsd3PhMXvwiYVz6JQ+umICSOgKsZOsaZHMWgQ8Gh5dRrViYknoCiFEFclqgBBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVJGErhBCVNH/B4S+rFDb6bIXAAAAAElFTkSuQmCC\n", + "image/png": 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", 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A5xmzdwvRrQlG0VrIx5YtvLupF6gaw1I8POFt68IpOOv3IBxmB6cNO403Nr8RV8FQdGoRilOh5OUSIvsjyHaZvCPyGHjtQGTzwQ+nhMQFoy/IduhZw+fzIcsybveB1bxihnFnGRdNg0gtyGajGiAH615dLlcT4e1qzUWhqMqNL6xh2ZYKghEVHWiyBXjgo/32ur18+F0pZx7Wjz+ePQEl2W7BNNItRNesSEgtJAyLzrkT+5DDGn73r/8Y/9oPE9426XbNHsglYy/hna3vJDzFLJhdQMHsghbvKyFxeO/D6evqm8kQO426ujoikQhFRUWJbyDL3WLkTV5eHj6fj4qKCgoLCw8Kr67DzmWw8imo2gbRINjyYMBUmHJVxueshWMqFz6xnI17awi1cbar6Ua56Jvf7KEqEOHRuZOQs/y575rnCSnSy5Vc/WFbiO60lhnuHc7ZI87GpqQ+08thcvDbo36bgag6n3A4TG1tLQUFBV1u9ZcJPB4PiqJQVVWFrqmw6hl4cCIsOBc2/Af2rIb938HO5fDVo/DwZHjmDNj5VcZiuv21dWzc17bgNiYY1Vj8Qzn3ffh9xuJqiW4huocN9GJKULaUClaTzHmTB6Ypou7JHVPv4OgBR2NXki+Yd5gcPHbCYwz1DM1gZJ2DqqpUVVWRn5/fo3b2vV4veixE9PkL4YM7jKGX0Tpo5maGGjFsL7cvhmfPhNX/TnssuyoDvL+hhFC0qeAmUy4ajKo8/eU2/FlOK3YL0TUpMpdPH4LV1P4/RwfmHiXGTbeGLMncN/s+Lh57MVbFij1BBxYY6QS7YsejeXjgyAc4rPdh2Q00C9RvnLndbqzW9Jxp5QqSrlPwyS8xb1+U/GiiWNAYZ7T25bTG8tyyHR2qr5clidfX7E5jREk8Z1afLYNcNHVw3LEB1z/dJJ8L4JpwPH0u/muTY4oEM0f0orc7w+OwuwGSJHHzETfz+ZzPufWIW+nj7INJMmE32bEqVkyyieMGHcf8E+fz5LQn2bRkU06VGqHrsGcNfPs6fL0AvnsLyn6Iu1lVVRVmsxmn05ngQbo5q55G2vo5Ugpuc4CR6337loSuZ+0hEtN4YcVOImr7RTcQUXl80da0xJMs3eacqMht5a4zxnL3OxsJRpP/kEuAx27hz+dMyFxw3RCXxcVFYy7iwtEXUhetozZSi1kx47F4MCsHcuO9YePGjSxfvpwZM2Z0bsBtEa6Fda/Al3+HugqjllbXjH+1GPQaCTNvgdFnUBsMo2maYcPY09B1WHJ/iyvcNse66yp8NR9O/lOHQ9nnC7ZYtZQKe31BwjEVqyk7E4+7jegCzJ06mOpAlIc+/TEux5MIWQKv3cIr1x1FcZ5Y5bYHSZJwWVwtzkU74YQTeOaZZxg1ahS9evXKcnRJsmMZvDDHENeWTpdL1sJbN6N/8FvCZzxL/vBJPWLjLI5tiyHkS3hVUvPg1IhhrP6Tu8Dcsc+cLxBBbuX/INlyUbMiUxOMUeQWotsubjx2BEN7OfjD2xupDUWpi8Svei0mGU1VKdSqeOvW84TgZhCXy8WsWbN4//33mTt3btcTqi2fwUsXGqe+bRHxQzRA4X9+hnT1p0ZHWU9jxfyEE4ZTmgcH8MP7Rg0zB2e+tXZJdJu6mnBCT5B6ki0X1XQdmzl7mdZuJ7oAp07oxynj+7JsSwWPL97C6h3VBKMqiizhtZs5d9IALpjcn/+96Rp2bBpF8ZQpnR1yt2bixIls3LiRNWvWMGlSF+rCKv8RXpqbnOAeQNI1IxXxr1Ph5yvB7s1cfF2RysT5z1TmwemxMHV7NlLXa1qTmW+SJKEoCpIkNZn9ZjabE44tcngjxNSNHf6TJEnCZc2eFHZL0QXjhZw+ohfTR7R8SnvDDTfwz3/+k0mTJqEo2Tm16IlIksRJJ53E888/z4gRI/B4ukijwKJ7oAVjmtZzk7ohvF8/B9Nvym7MnU0LX1ApzYPTothNOvYDLcXtPfvxOiwcMTi/Q+37iizx00P7ZfUMrNNFV9V0Ptu0nxdW7GBvdYhITMNtNzN9WCGXTBtMP2/mTJRnzpzJa6+9xjvvvMOZZ2bAtV/QQH5+PkceeSQffPABc+bMMeo3v3vT8CcIlBueBO6+MPE8GHac0cWVSYJVsPHthGN2kspNxoKw9CHDDrGLehFkBGti06JU5sFJigXFkQ9pWOhcO3s463f7EqYRk8GsSFw1K7s15JLeSSaykZjG/MVbeGrJNiIxLe5FsygySDBlSAG3nzyKiQO8GYnjxx9/5LbbbuOFF17omeU/WUTTNF595hGOs66naMc7xsHmHrsWF1gcMO3nMOWazE0uWPoQfPpHQzwb4Qvp9P9bLf86085549roULS4DI/aET/JTIxdkbdvgTULQG/aUFD/uj1zlr3teXAWJ1zwIgyb3eFwNE1n2p8/obQ2nPJ9ZQnG9svjnZuy6/LWKV/RNaEo5z++jIc/20xVIPFmV0TViMQ0lmwuZ87jy3hn3d6MxHLIIYcwffp0nn322Yw8vuAgcvkPnLf/fvJ/fNUQ20Sm5hE/+PfDZ3+CJ483yrcywdbP4wQXUstNEqmDXSvSH1tXZur1oMS/NinNg7PmpW3CsCxLPDXvSOzm1FfNLpuJR+dmf48h66Ibjqlc8uRXfLuvJqmyLjAmO9z26lo+25SZkTpXXXUV//3vf9m7NzPCLgAqt8HTJyKHqjCRxKlgLARl38PTJ0I4AxMnglUJD6eUm0SHurL0xtXV6T0aikYnvCqpeXAmu3EWk8aUzPj+Hv51+ZE4LUpSPvmyBF6HmZevmcbAgnZM+uggWRfd+z/8ge9Laomk6H0bimrc8PwaqurSP7OpsLCQOXPm8NhjjxkHdM1wS9r3NexZCaXrjbyjoH3oOiw4x9h8at6f3xpaFKp3wZvpG9ioaRqRSARVSnwK3Dg3mRSW7H9oO52f/J+EQzghiXlwZhscPjftIR01rJA3fz6T2SOLsJhkLAksAWxmGatJ5pTxfXnvllmM6ZuX4JEyT1Y30kJRleeX74hzA9r96BUUnnJzwpq6xi27Ojovr9rFdbMT++F2hPPPP5/rr7qUfctepG9ki/GBB0MwJNnYcHH1hSGzodfopkXXgtbZthhqS40vs2a02cGkhuH794z7u4uTejpd14nFYk0uqqoSixl5SJPJRJ6rLzISUrMvgWkDFGwmeGNTrO3cpGIFd7+kYupWjDgejvk1+qJ7kJL1XgBjNNGlbxqDMjMRVm8Xz1wxhRJfiAXLd/DBtyX4glFkScLjMHP24f05f/JA8p2pjaNPN1kV3fc27OvQ/UNRjae+2MY1s4al3QPT6tvCE5eNQPV9Ay0Z59Tsgm9fAYsbJl3dLTxSs8KXDx5woWpKUlUC9az+Fxzz6yaH6oW0+UXTNBRFwWQyYTKZsFqtDT83TD2YeiVs/TCu0L9xbtIkw4nDTZhl+HhrjM+2q/z1hEaNNBIw7ux0vEK5x8xbCUY07EvvQdJiRjdfS5hsxsr40jeg76EZD62Px8ZtJ43itpNGZfy52kNWRffpJdvbXdpRTyASY+X2SqYOK0xTVMC+NbDxDRQ0lLacytQIhKrgq4dg6k1CeNuirgK2fxF3OKUOJjWMvmI+/kk3NhFXWZYbxFRRlCbi2iZDZhoTcRN0V/1impVip8zdi8PMXRjEbZGY1E/ht7Mar5AkYzMor3sas7dFXV0dgQmXYB93Eix7BDa8Zpz9RQKADpLJSCWY7UZZ3aTLwNGy0X1PIquiu8+XfOdP64+TortRa1TvgI1vHEwnJIOuGTvfq+fDtP8x5l8JEuPbZax01Ka5+JSqBAAClaCp2Gy2BmHtUEG7JMGMW+Dj3yX0W5g70czcia2kF8x2mHFr+58/h4lGo9TW1hpje0xFcNY/4eQ/G3XPNXuM3L09H/pMgOHHiVRcM7KqFq1tniVrThHTNPyhNG6mbX4vTnCHXPwIwXCMrc9eh9NurG6efHctCz7ZwOf3H9gE0DWjvKl0PfQ9PH3xdDcSrCQh1SoBkGQTbqsMtjTW7U6+0hCK3SuMZo0k0U12pMPmds4U305G0zQqKyvxer1NzyhseRnZIOuOZFV0HRYTNaHEuZ9kzSmikTAP3f9XXovto0+fPg2X4uLiJj87HEnsKgcqjG/mBMRUjQdfX8VvLpre8v3VCGxfJES3NaxuElUspNLBBBg5w5ZGmrcXxQQXvgTPnwt7v0lYt9sc3ewgNOwkOPb3ZK5XsutSXV2NzWbDZhMmUe0lq6I7vn8epTWhVIqG4rBYbDz38D3kK2FKSkooLS2lpKSELVu28OWXXzYcs1qtDUJcXFxM3759mwiz2+1G2rXUqE5IwK/mTOWvr3zFDT89Aq+rlTdYsBJq9/bMXexkyB8Msfgzk5SqBMDInWai3dbqgsvehs/+CCueMI4latqwuMBsR5r9v5gPn0d5RQWSrPQo8fH7/T3XRziNZFV0r541jKVbKgh0YDPtkGI3I/sY9XVFRUVMmBBvPq7rOj6fj5KSkgYR3rt3L2vWrGk4pmkaT1w5gUEFiT/wk0f25ZiJg7jv1RXcffnRrQfl2yVEtyVsHhh1Cmx8q0nJWEpVAuYDbcGZQjHD8b+DY+4w/CCW/dP4P42Fjdxt0RiYcTMM/wnIMiagoKCAyspKCgoKsFg6twQpG0QiEfx+P0VFRV3PnjPHyKroThlaQL7DQiDSvg01p0VJqkZXkiS8Xi9er5fRoxN3z9TV1WFZ8XdQW+52+sNls5hx6wJuOXtyy0+mqS06VQkOMP0m+PHDuA2r5KoEMMT6sCzkC01WmDjHuLSBxWIhPz+fyspKCgsLMZu77yRpTdOoqqrC6/UKN740kFXRlSSJX500ijsWrm8yUmfA9U/H3dY14XhcE45v+F2RJPKdFk4cl1yBfFs4nU6w2iDQsuiOH1rE6UcN5y8vLWPMoBYsIiVJ7M62Rf9J0GsUeukGpGablm1WCZjscOgFXdK31mq14vV6qaiooFevXrk3EViNwY8fGFN6a/aCFgFbvtH8MGkeuIoAYx6c3W7vUamUTJL1NuCzDu/PJdMGp2RQIUvgtpl46ZqjMCtpDNnadhvg7y+dxRPvrWVPRW0LwZnA0jnthDmDJKHPfQXdlo8upfAFpVihz3g45a9t37aTsNls5OXlUVFRkTsDOKMh+PweuO8QWHiNIbyl6w2vi13L4Yv74O/j4KWLCGxfja7ruN2JLR0FqdMpLmN3nDKaG44Zjs0so7Sxc+2wKPTJs/H2TTMZkJ/mPvcBU0FpPR83on8+588ewz9eX5X4BrrWogGIwEDXdSrDCjUXvoWUPzg5u0azAwZPh0vfAlPXzpk6HA6cTicVFRUNkxC6LIFKeOoEWPI3YxM40aZhLASxMPqmd7EtOI38itUij5tGOkV0JUnipp8cwsLrZ3DWYf2wmmQcFoX6RaxFkbFbFAYXOrjr9LF88stjMuMGVDSWZF6Cuy6eQV0oUfOEbJSLtSHcPRld16msrESWZbwDx8B1S+D4P4BngOGr2hhJMdIJfQ6FMx+Gi/+TM4YyLpcLu91ORUUFnWRR3TaRADxzGpRtSmofQkJHjgVRXrsMdizNQoA9g04zMW9MTSjKR9+WUlprTI7Is5k5bJCXwwd6M/8Nu/kD2Lmk9d7xFtAlE9qRN6Lk9clAYLmPrutUVVUhSVJ8mZGuGx/kzZ9AXamRpnH3g7E/hd5jOifgNODz+YhGoxQWFh5874Z88M2Lhn9EXbnRjGNxweAZMP3nWfEjAODtW2Hti+3b+LXmwS83xX9RClKmS4hup6JGYeWjULc/4eiWFpHNhAfMoipvAl6vV2wyNKNecMEY1dOTTk+rqqrQdZ18u4T0/m/g24WGU13zdmNJMVIn3sFGG+3w4zIXVLgW7h3RzplwGA5hJ//Z8FAQdIgeNNypBRQzTLoKnEXJeyjIZhg0E+shx1NQUEBNTQ3V1dVd97Qyy/RkwQXwer1INXvQHplhGMHEQgn9HdBVY9Bj2SZ48UJY+VTmglr7siH8CfjbsjC3vh/iN7OslN7mZuetLm6YbOHNTY3O/qJ1sOSBFpuJBMkjVrr1qFHY/D7sXQlIcQYtIBkCbXbCiJOhz8SGa+qbMSKRCF6vt0cUy7dETxdcAIJV6I/Ngpq9SKmcPZnsRi57wrnpj+nhI6H8h7jDKc2EMzvgyg8NIxtBu8mxwsIMophh1Bkw4iQoXQc7l0K4xliNKBbIGwCDZ4FnsFGb24j6ZoxgMEhlZSUulwuXK80+ATlC/Yq/oKCgZwouwHv/i+QvTS1dBYb3w5s3wrBjwNlCXXh7qU3sZZ2S25tsMiZ5CNHtEEJ0m6NYoN9k45Iidrsdi8VCdXU1oVCI/Pz83O7giUWM9t1l/zQsMOvbYnuNMrrMDjmhSWNIVVUVmqb1bMENVhmtxHFnSgZt5k6RjGaFo3+ZlnB0XUdVVZRYOOH8sJTc3nQtcZpEkBJCdNOMoigUFhbi9/spKyvD4/Fgt7dSl6rrhsn3t29AbQmggasYRp/e0OufddQYfP4XWPGYEV/jWs6I3xjGuO8bo2326Nth6rVUVVcLwQX4+vlWc6dtTsqIBWH5IzDz1lY7HXVdR9M0VFVt+Lf+0vi4rusoikIvkx0pwRdBSm5vkixM+9OAyOlmkGg0SlVVFRaLBY/H01SMokFjRbP0QaOkqLnv7AFXK466AY68yvArzQaRALwwB3avSsrqELODyLATqT3+Xgp6CTMUHpoEFZvjDqeSO9UtLtTzXyTWf0qcqNb/rOs6siyjKErDv4l+bhhP9PQpRsqshbieOcvettubyQY/XwXegUm/HIJ4xEo3g5jNZoqKivD5fOzfv5/8/Hxjk62uHP79U6jc2rKwRfzGZdE9sObfMO+/RkNBJtFUeHku7F6ZfC1nNIBpywcUOD1IZzyY2fhygRZGsqeSO9V1CJRuJZY/vkFELRZLnKCmxIyboWRdXAdaSm5vA44UgpsGhOhmmPpNtlAoRGVlJU6Thvv50wzrwGRGBMVCxubFE8fBdV82mJBkhK8XwM7lKRfPy7EgrH8Vxp4JI36SoeByBDXx/2kquVNZ0slz2qAgjTPFDjnRqAlOkGpOxu1NMzupGT8PazDYerpM0CZCdLOEzWajqKgI9blz0Wt2x7lttYquGj3zL10IV32cmQB13ajDbGGjpM0NoGjAmPrb00XX4kz4GnZ67lRWYPav2zcTTjYh5/XDPv40av11+P1+3G63aAhqJ0J0s4hSuwdl95cJd7bbFDUtCqUboGR9Zkp2dq8E//6EVyU9Kn3XcmNV3pNPQQdOgU3v0nxEUUqTMmKRzLQGT7nGSDFsWJh8FYKkGFOTL3sbq82O1WYnFApRU1PTIL5WqzXlUHzBKN/u8VETimKSZYrcVib09yAnOTMvlxGim01WPJGwoydpUYtFYOnDcM7j6Y9tzbMJP4gpjUrXdaPldcYt6Y8vV5h+M2z53OjgakRKudMhsyAvA5NIJAnOeMjwUVj9L8PisbXhWWaH0al5+btNRs3Xz0gLBoP4fD4URcHtdifVFLRhj48nFm/l/W9LsJhkdN0IS9N0HFYTV88aypzJA/E6um+DkaheyBa6Dn8ZaPTANyKljiAwdpBv35Z+961/nwnbPo87/P7mGKe/ECB0pzu5Ws4p18Cp96Y3tlxC1+HBQ4265gQ8vy7KA8vDbCzXmuROpw888OVqccIFL8Kw2ZmNc9dKWPoP+OEDI/UQDQK6Uacum8DdF2b+D4z/WavvNV3XCQaD1NbWYjabcbvdCadoBCMqN76whmVbKojENNQWZMdultGBv5wzgbMOz/DGcSchVrrZIlxzYGXRlJQ6ggBdUohU7ETzDkbX9YYL0OT3VI8XBGpIdJKY6qh048Pbg5EkOOlPsPCqhK9Fq7lTxWI0ngxtYyZfOhh4JJz/nFFJs+kdI7UUC4E9HwZNM6Z9JFH+J0kSDocDu91OIBCgoqICq9WK2+1umKQRjKic+9hSNu/3E4617jccjBrX/3rheqqDUeZNH9rxv7WLIUQ3W0TqjJHfzTbQUhU1XZII1ZSj2YqRJKmhLrb+Z1mW4441vrR43NsHSuOfL+VR6c4MVlfkCmNOJzLtF5iX3o+UbCWIYjFWl5csTErs0oazlzGap4NIkoTT6cThcOD3+ykvL8dms+F2u7n++dVJCW5jQlGNv7y3icEFTo4d3bvD8XUlhMtYtrC4jE6vZjQWtWSQ0fEU9Sc/Px+v14vH48Hj8ZCXl4fb7cblcuF0Ohs+APWzraxWKxaLBYvFgtlsxmQyNdR7SpKENOwYI4fXjMYbQEn9jQOnJvV3dGdCoRBV4y5DO/FPRjpIaWOjyeKE4nFw7SJjpZnDSJKE2+2md+/eyLLMovXbWb61oong7n70CoLbv2lyP//6jylZcHuTY6Goxu/e+rbbufcJ0c0WVnfCMTUpiRoYDQyu9AznbMKhFzYZkV5P4w2gNzZFCUR1oqrOez9Guf2jZqs4k9XwY+jBhMNhqqurKSgoQJlyJdy0xhgfb/UY7wGL0/hys7iN12vobJjzHFz1ac4LbmNkWSYvL4+F3/mIpLDCbU6ZP8yandXpC6wLINIL2UKSYPKVsPyfTUrGUtrVlk1tbmy0G1sejDsH1r0c546V1Kh0k81oWe7Bk5EjkQhVVVUUFBQc3Ezy9Ifj74Jj7zA8Nvz7DeMgm8fIm3bj8rrqQISPvislyZO4hASjKvMXb+HxS1I3oOqqCNHNJlOuMsxMmpGUqIFhPzntxszFN/tXhqtYgmGFrW0A6UhIFhdMviJzsXVxotEolZWVB1u9m6OYMzsZoguyfo8Pi0lOKZfbHF2Hr7ZVpjGqzkeIbjbxDIBDjocfPwY13OSqVne1AWSLYZxePC5z8RUMgwtfghfOS7oKQUdCNzvRL30L2ZHGttUcIhaLUVFRgdfrbVejQHelJhhrMR9btvDupmdFagxL8fCEtw1EcmS0fZII0c02Zz8O84+B6p0teq7GIZvAWWjUb2aaobOMsecLfmYM62ytc8niQrK4qDvvZYJKbwo1LXUjlhxHVVUqKirweDyiLbYZJkWChC6+UHTOndiHHNbwu3/9x/jXfpj4cbpZl1rP+oR0BaxuuPIjKBqNZkrCOMRkMwYXXv2ZIbzZYOAU+MVGo940f8jBjR+z04jfZIfi8XDGg3DrOlyDD8NisVBZWdl9dpp13Sjz01peZamqSnl5ecP4dUFTerms6K11vCWJx55E01AOIVa6nYGjgLoL30Bf8xyutU9BXcWBFWWjN6jFZVym/xwmXQ7WLI//sbpg8uVGDee+b6BquyFCVjf0Ghk3Jt3j8VBVVUVVVVXuzkaLBIxBkl8+aNhuGv2pxqbXEZca3XYHNr40TaOioqKhPE8Qz2EDvVhNCnXh9qcHrCaZ8yZ3r840IbqdgKZp1Aaj9Jr1czjmFsNO8bs3wV9ifMhdvWH0aUY5UWefrksS9DvcuLSB1+ulqqqK6upq8vNzqPxJ0+DzP8Oyh42/t95Qvv47MFQNXz0GKx6HwTPRznqMipCEzWbrsbPwkkGRJa6YMYSHP91MqJ2baTpw8dTB6Q2skxHeC51AVVUViqKQl5elaRBZRNd1KioqMJvNeDw5MNpFjcGrl8GWT5Ny3tJlM5o9n7oL3iBvYAY3NbsJFf4w0//yabsqGBQJZo/szdOXH5mByDoPkdPNMuFwmEgkgtvt7uxQMoIkSRQWFhKJRKitrW37Dp2JrsM7t8CWT5K2OpS0KHKgnLzXzjeGUApapdBl5Q9njsNuTq1+WwI8dgt//ln3mzyck+kFXdf5alsl728oobTG6Ioqcls5cWwfZowo7LL5RF3X8fl88fPSuhn1wlteXo4kSV33FHzXVwe8ZePL41rzN5Z0zUgFffpHOO2+Tgg8tzj/yEFUB6I88PEPhKJtr3gVyRDcV647iuK87lcRklPphVBU5aUVO5n/xVaqA1GCEbXJ3qjDouC2mbh61jAumjoIh6Vrfaf4/X4ikQgF6RzD0oWp3913u904HBnoousoL14E38cbjrfkb7x4h8q9JzYSAbMDbt+asL1bEM8HG/bx+3e+S/jZBWPTTAemDSvkr+dO7JaCCzkkuhX+MBc9+RU7K+oa7N9awmaS6Zdv56Wrj6J3F/mPU1WVsrIyioqKUJSe0yobi8UoLy/H6/U2rWMN+425apv+C4GKAx6ufQwPiJEnZb6d2F8Gfx9ntOQ2IiV/Y4sTTrkXDp+bwUC7F/VnqfMXbWXVjkoCERVFlvDYzcyZPJCLjxpMH0/X+MxmipwQ3dpQlNMfWsLeqiDRJBu5TbJEkdvKe7fM6hIu9JWVlQ0mzz2NaDRKRUUF+fn5WEPlsPivhscDctyEBSwuw+Zw6nUw/abM+EwArHkO3rs9Lpebsmn7oOlwxXuZiVHQLcmJjbSbX/yafb5Q0oILENN0yv1hrnludQYjS45QKEQsFuu6uc0MYzabKSgooPaHJeiPTjOmDkeD8YILhu9DsBKW/A2eONZYkWaCQLkx/qgZKZu2BzIUn6Db0uVFd1dlgKUHRnw0JhlPzqiqs25XNT+WZngXvWILLL4P3r4V3rgBPvq/hr+CpvWYzbO2sPi2Ufj2pUghn9Fe3BaxkPG6Pn0ihGrSH5CmohOfpkrV37i1jjWBIBFda6cpAf9eth2tAxmQqKbx9Jfb+fM5aS490XX4/j348u+wb63x4Ws8FWLlE2B2ED7iaqzjzsdqzYAHbq6gqfDc2UiRBCvbVu8XBd8eeOvnMOfZdj+9rutEo1FisRixWIxoNIo5quCSLUhqU0/glKb2gjEpVyBIgS690lU1nZdW7CKqtl90VQ1e/3o34VgaVySxCLx2OfznKqPsKBaKG8NDpA7qyrAsvR/PgpOMVVtPZfMnEPKRaPLsC+ujTJ7vx/WnGvreX8spz9exZGejlbAahu/fb3E8fGPqxTUQCFBTU0NFRQWlpaWUlJTg8/kIh8PIsmxM1Rh/CokyCKmZtttg9OkpvhiCnk6XXunWBKNE1PZ7cdYjIVHuj9Dfm4bSHk2Dly+GbYsh1rb9oayGwV8KTxwH1y6G/O7V0pgUSx5I6NGb9Oh5SYJVT8MxvwYMca1fsTZevWqahslkwmQyYTabcTqdDb/HYRttmPbsWRV3VdL+xrqelvligp5FlxZdfziGSZZoyQAxWU9ORZaoCyc5DqctFt1jTABIQnAPohvTgP99Btz8dc+arlBbAnviNzN9IZ27PgvzrzPtnDPm4Gn8GaPMnDGq2Wl9LIS24gmqJ16TUFwdDkfL4toaM2+Fhdcm3NBry99Yl2SkkSdlz/lN0G3o0qLrtJpa3dBI1pMzpmrEQnXU1tIwkNFkMqXu/RoLG6YoLbSMttbFhK4Z9ag/fgSjTk7teXMZ325jFlgz0/ZUR89LgQocdjumvLzUxbUlRp4CvUdDyfrkvY0PEMXElgHnM6btmwoETejSouuxm1td6aZC33zDfq++fCsWiyFJUhMRrr/UT8mN47u3Wnz8pE6VI37DNrAniW4Lm2eplmZJkozNJEG6BBdAMcHFC43Uj2933BdDi5gdhM98hmUr9rCj9n2OP/749H0RCLo9XfqdosgSFxw5kOeW72j3ZpoiwZmH9yc/L74pQdO0BgGOxWJtCrLtyweREuQmUzpV3rvGmBrhHdSuvyfnsCZuBmlcmpWc8OrGijnd2L1wzedGnn73CmOTVG9h09XiMlp+L/4P7r6HcvHICB988AEvvPACZ555Zm64qgk6nS5dvQAwb/pQ5A7Ut5oVmStnDk14nSzLWCwWHA4HeXl55OfnU1RURN++fenduzd5eXlYrVZ0XScUCqFXJq5ASOlUWbFAxeZ2/z05R8HQuFZbaMfoee9gY0MtE9jy4LK34MqPYeL5RlWC1Q3WPOOiWGHAFDhnPvxiE/Q9FACLxcIZZ5zBuHHjWLBgAdu2bctMfIJuRZde6QIMKnRw1LBClm2paFLJMOD6p+Nu65pwPK4Jxzf8blYkJgzwMLI49dbbekFuMtm1hbxfaqfKOoS7uOVhOrHnG+mUjW8bee0DpDR63uyE6TdnPtY+4+HsR+HUv0LlNmPz02wHdz/I69vi3SZNmkRxcTFvv/02hx12GEcddVRSjTDagddDlrr82keQRrq86AI8dNHhnPaPL9hXHUq6U0iRJQqcFuZfMjl9gSiWhN1UqZ0qS4ZRSk9i+s3GBmKzDcjkS7M0mDgne/Fa3dB3Ykp3GTBgAJdccglvvfUW+/bt47TTToubDKzrOuvK1/HMhmf4cu+XhGJG3a/dZOfoAUczb9w8xvUSxujdnZwwvAEo94e56Inl7KwMtOnJaTPJ9PHYeOmaael1LHpoMlT8GHe43pnqmbPsbXcxmWxw/VIoTDxuului68ZmVckG0FLcFjU7YPIVcNIfMxNbmlFVlc8//5ytW7dy1llnUVRUBMDq0tXc9eVdlAXLCMfCaM1akGVJxiJb6OPsw90z7+bQokM7I3xBFsgZ0QUIRlReXLGT+Yu3UhOKEog03fBwWhQcVhNXzRzKxUcNxmlN30I+EokQW/4EtsV3I8fiS8b+tizMPV9GePx0W+unyn0mwnVfpC2unKGuAh6bAXXl8d17LWGyw6CpRoVBjtU2b9y4kU8++YTjjjuOXY5d3LnkTkLNWo5bwqbYuOfoezhu0HEZjlLQGeSU6Naj6zrLtlTwzrq9bNhbw/byOgIRFVXXsZpkitxWLps2hPMmD+zQ+GZN0wgEAgQChsg6TDrORw9FSjBpAOD5dVEeWB5mY7nW5FR5+sAD4m9xwU//AeN/1u6YcpraUrR/nQo1e5Dbai4xO2HEcfCzpzJTtZAFysrKePith3nb/DZRPckvmgPYFBuPn/A4RxQfkaHoBJ1Fzoru/MVbefizzWiaTl0kvsTHblbQdJ0zDu3HH84cl9IUiVAoRCAQIBKJYLPZcDgcBzfU3v2V4cWaUkfaARy94BcbwdT5/r6dga7r7N+7k4I9n2Be/pDRrRYLHyzRUiwHpg9Pghm3GGbmOezMFtNiHPPyMfgivrjrqr6oovyDciL7Iyg2hbxJeRSfW4ziPLiiL7IX8fF5H4uNtm5Gzomuqunc+vLXfPzdfoLRtk1srCaZgQUOXrl2GgXOlsUuFosRCAQIBoMoioLD4cBut8fvQsci8K+TjfxkssX0gG52IF35kbFD3kPx+Xzouo7X6zXyvLtXwbZFUFcGihlcxYaBTEHiEr9c49Odn/KbL35DXaxpg0j5e+WUvVfGgKsG4BrrIloVZe9ze1FrVYb+diiyyRBZh8nBA8c8wPT+0zsjfEGGyDnR/e3r61m4Zk9SgluPSZY4pNjF6zfMwNZoKml9/W0gECAajeJwOBr6+FslXAvPn2dYOrY1RVY2o5vtVJ72FM6RRzcdWdODiEQiVFZW0rt379Tbr3OUi9+9mLVla5scU4Mq39/6Pf2v7I9nysFmCjWk8sOvfqDPeX3IPzq/4fjUPlN58qQnsxazIPPk1Lt/xbbKlAUXjCkSW8vqeHyR0dwQjUbx+XyUlpYSCARwOBwUFxeTl2xfv9UNl70NJ/w/8Aw08o80WxGbncbO+xGXIl2/lLwxx1JdXU04nPzquLug6zrV1dV4PJ4eI7i1kVq+rfg27njgxwBaVCNvUl6T44pNwT3Rjf/bph2Pq0pXNZSWCboHOVGnW8/ji7YQaia4ux+9gsJTbk5ofNPn4r82HAvHNJ7+chtzJniR0XE4HB0bEqmYYcpVcOSVsHMZfPM81Ow10g+OAhhxPEw4t6Em1wwUFBRQWVlJQUFB06aLbo7f78dkMmG395ypudWhasyymVizum7Vr2JymZCU+Fy1yWMiuKPpXoFZNuML+7CZeuYZUnckZ0R3f22ILzaXJ7DBTp6oqrGmJMxphw5MW1xIEgyeblzawGKx4PV6qayspFevXj3CJCUWi1FXV9dQr9pTiOkxpOZnP4DiUoj5Y+iqHie8MV8Mk6vpe0KSJNSWvCAEOUnOnOt9+G1pQqf/VAhENBZ+XZKegNqJzWbD4/FQUVGBqnb/D1N1dTVut7tHjZ0HyLPkxa1yARwjHEgmiZrVTee+aWGN2nW1OMc27VaMqlHyLE1TEYLcJmdEt7w23GYnWjKU1nZ+fsxut+Nyubq98NbVGbv2TmcPa3sGCmwFFNgL4o4rDoXeZ/Vm74K91K6rRY/pRMoi7PznTswFZrzTvU1u38/VD6e5571+3ZmcOb9tbWxPshMkAKKxrlGs4XQ60TSNyspKCgsLu90Gk6qq1NbW0qtXr84OpVOQJIl54+bx4JoHCTar6S46tQjFqVDycgmR/RFku0zeEXkMvHYgsvng+8BhcnDlhCt79BTp7kjOiK7XYcasSAl9dZOdIAHgcbS/Qy3duN1udF1vEN64D1ekDkq/M4Y6KiZw9obeYzq/YSBQCV8vMOaW1ZUZbb1mJ/Q73GhqGHo01dXVuFyuHpG3bomfDv8pD6x+IOF1BbMLKJgdvxJujKZrnDL0lEyEJuhEcuYTMWVoISZZJtqB03GbWea4UV1rQycvL4/q6uqGqgZJkqDsB1j+KKx7EWQTDeVoWgwchYawTTzf8IHNJsEq+O9tsOkdQ/gbt0PHwrDlE9i5HM2Wh/mo23FOvzy78XUx3BY31068lvnr5iftu1CPzWTj5sNuxm7qORUfPYWcOac9dICnw45hug7nH9n1JjZ4vV4kSaK6Yj+8egU8Pgu+ftYQtXCt4esarjEaMXy74KO74P5R8O0b2QvStwcemwUb3zJGzrfgP0G0Drl2H+7PfoP0WW44g2WSqyZcxanDTsWuJC+eNsXG2SPO5pJxl2QwMkFnkTOiK0kS188ejsPSvl1wWYITxhaT30orcGeSn+fE9Z8L0b//ryFqCXa+G4gGjMvr18HKeDP3tBOshn+dYtQhJznAUYoFjSGeSx/ObGxdHEmS+N203zFv/DwssgWL3PL7z6pYsSgWrp14LXdMuSOLUQqySU61AYeiKif9fTG7q4KoSZqZ1+OwKLx900yGF7kyFF0HeXUe+vfvIaXafWSyw/kL4JDj275te3nrJlj7UsoTcwHDP/jGryB/SNrDyjXKAmW88v0rvLDpBVRNRZZkdHR0XcesmJk7Zi7njjyXXvaeufnYU8gp0QUo8YU4/aEvqA5Ek54iYTcrPDVvMtOHd9E3c+m38MRPEjqXtTrWvZ78oXDz15nZYAvXwr2HtOiq1mZ8igWOvApO/nP6Y8tRYlqMH6p+wBc23Me8Vi8j80ei5JhnsKB95MxGWj19PDbevWUWlzy5gt1VgYS2jvU4LQomReaZy4/k8EH5Ld6u01n2SMJVZFJj3QH8pbB7JQyckv7Y1r3SopgnFZ8agTXPwk/+L5hFKyuASTYxtnBsZ4ch6CRybqVbT72R+WOLtvDVtkosJhldP7CprmoMKnBw/THDOWV83ybOYl2OUA3cNzJuJVk/AuhfZ9o5b1xbZW4SjD4NLng+/fE9NhNK1scdTik+ixt+9qQxoFIg6OHk3Eq3HkmSmD6iF9NH9KK0JsTm/X5qQ1HsFhP9vXZG9O6iudvm7PvGMM9pJropjXVHh+1L2vX0jb9z639u/K/i35/AQSDF+HTVWI0LBILcFd3GFOfZKM7L0VPXYHXCw6mNdQc9Ukd5WZnxcwLxbLhdgmP1TRnN/wUoikUSim5K8ela+zbhBIJuSLcQ3ZxGTvxfkNpYd0BWjIkMJBbP1oS1VeweCFV1LD7ZBDZvcs8nEHRzcqZOt9viLDJWgs2YNkDBZoI3NrVSr9sIyZaH2WzGbDZjMpkwmUwoitJwkWUZWZaRJCm1Xv6hs0GK/2JIKT4tCgOPTP45BYJujBDdzqb/EQmn3XpsEn841sqN74Z4Y1OUQFQnquq892OU2z9qVsurWGDiBZmJ76gbDN+HjsTXf7Ko0xUIDiDSC52NrMBRN6AvvjeuMeIX06wUO2XuXhxm7sJgk7HuTZAkmHJ1ZuLrPRqKRhsbfs1IKj6LE2bcmpnYBIIcJGdLxroLkUiEmn1bKXz2aKQUpgs3IMkwZBZc9lb6g6tn+5ew4Gepj51XLIYr2tWfNbXeFAh6MCK90ElomkZ1dTVVVVU4ew9GOuUeY5Blqljz4KcPpT/AxgyZAaf/zWg5ThbFAu6+cMkbQnAFgkaIlW6W0XWdQCBAbW0tDocDt9t9cGNr0b3wxf3JrSgl+eBU4r6HZjboeja+AwuvNuzaWohRR0I32ZF6j0a6ZCHYu3AnoEDQCQjRTZKYqrFieyVltWHCMY08m5mJAzz08ya/+guHw/h8PhRFwePxJDb4Xv8afHAHRAIQ8cdfL5uNlWO/w+Hsx7K/QRWsgm9egKUPGb4MkmSIsCQbnrrDZuM/7Cq0AUeR5/FkNzaBIAcQotsG+2tDvLB8J88s3U5MMxyhNB0UWSKiakwZUsC1s4cxY3gv5BbqVVVVpaamhkgkgsfjwWZro5FD09A2f0z08/uwlK1DioYMUbPlwcQ5MPU6KBiWgb82BXQd9qyB2n2GFaXNA30mgLsPmqaxf//+HjPxWCBIBSG6rfDaql3c+cYGdCAca3lGm9OiMKzIxXNXTsHrOLhzr+s6fr+furo6nE4nLpcr6RrZYDBIMBikoKAANM1YUXb2mJ4U8Pv9RCIRI36BQNCAEN0W+NeX27jn/U1JTyA2KxLFeTbeuWkmXoeFUChETU0NJpMJj8eT8gjy6upqzGZzzk7S1XWd/fv34/V6sVrj65AFgp6KqF5IwGff7+ee95IXXICoqlNaE+KSJ7+ivKKCmpoaPB4PBQUFKQsuGPnfXBYrSZLweDzU1NR0digCQZdCiG4C7n7nO0LN0gm7H72C4PZvmhzzr/+YkgW3N/weVXU2l/lZs6eOoqKidotmLGa01uZ6PtRmsyFJEoFAoLNDEQi6DEJ0m7F2VzV7q1McmdOIYFTj3yv2puZv0IxcX+U2pn61K7JYAoGBEN1mPPnFVsKx9o95B1i1vYq91Sl2bzWiO4mu2WzGZrNRW1vb2aEIBF0CIbrNWLm9ihRnXsZhVmTW7a5u1311Xe9WogvgdrsJBAKoase+zASC7kBuJw0zQF24ZavCsoV3N21pVWNYiofH3U7TdWqCbVsefl9Sy1NLtrLohzL84RiyJJFnM3HSqHyuOS6fPp4cNWZvhqIoOJ1OampqyLeqsHMp7N9g1PeC4bJWNBYGzQBn784NViDIMEJ0m2FSWl78F51zJ/YhhzX87l//Mf61H8bdTpLAYmr5cVbvqOKuNzewpcxPVNVQG+3Z1YZiPL+qhAWrS5k2rJC7zxrPwIJ2eDJ0MVz4iW58FT1UhqRrTT2EI1HYswr2rQFnMYw5G/L6d16wAkEGEemFZvRyWdq+URtISPR2J04PvLt+L3OfXM63e2sIRZsKbj1hVScS01jyYzmnP/QFG/b4OhxTp1K5FWnVY5gD+5C0WELTdtBAi0HtHlj1OJR/n/UwBYJsIES3GXOnDsLewenBJlliytD4TqwvN5fzi1fWJl3/q+o6vmCMi55Yzs6KHC27qt0La/8NauJZawnRorDueajekcnIBIJOQYhuM86ZNACtA+VNVpPMpdMHx6UpwjGV6xasTqnhoh5/OMZNL65pd0ydhq7D2gXtG0qpRWHdghZWxQJB7iJEtxl5NjNnHNoPs9J0XTbg+qeb5HMBXBOOp8/Ff417jIunDo479v6GErQEZRHJNF1oOnxfWsvm/TlWdlW9HaJ1cYeHXPwIxef9g7rgQTF+8t21HPPL55veUI1CxQ8ZDlIgyC5CdBPwf04fS3GeDSXJ8ef12Mwyd581nt4JxsE/8vkW6iLtL5mKqhpPLdne7vt3CjsWt7jKjakaD76+qvX7q2HYvjgDgQkEnYcQ3QR47GZevW4afT02LK1UMzTGZpa57cRRnDd5YNx1u6sCbC+PX/GlgqrBm9/s6dBjZBUt1uoq9VdzpnLfayuo9rfR/efbCdH2N5oIBF0NIbot0Ndj5783z+Knh/XDapITbq7JEtjNCkN7OXlk7hFcNSuxx21ZbbjVErJkCUZVoonKHboi0aDhAdwCk0f25ZiJg7jv1RWtP46sJExRCAS5iqjTbQWP3cx95x3KXWeMZeHq3Sz4aicV/jBRVcdpVZg8uIBrjh7GoQO9rT5OpBUvXki+6UKRJKKqhjnJ1XenoqvQRr3CHy6bxYxbF3DL2ZNbuZUEmuhkE3QfhOgmQZ7NzLwZQ5k3Y2j77m83t1oRkWzThabrHS5nyxom+wHhbZnxQ4s4/ajh/OWlZYwZ1CvxjXQVTN2jM08gAJFeyApDezlJh8nWmL55HXIvyyqKBaxtz0j7/aWzeOK9teypaKEyQ7EaAzgFgm6CEN0sYDMrnH/kwLgytFRwWhSumx2fcuiySBIMPhrk1jv8RvTP5/zZY/hHokoG2QyDZraaGxYIcg3xbs4S86YPQe7AKlWWJU4a1yeNEWWBvocDbS/x77p4BnWhaNxxXdeg/5EZCEwg6DzEjLQscstLX/PBtyUpd6XZzQq/PmU0l00fkpnAMsnWT2H750aHWQrEdJk3VpVgGXcmZ5xxRu6kVQSCNhAr3Sxy77mHMr6fB5s5+ZfdblY4b/KA3BRcgKHHQu/xRqogWWQzpt6jmXzBnbz++uv85je/wefLcdMfgeAAQnSziMUk8/zVUzl2VG/sZoXWGt7MioTVJHP9McP5/U/HZS/IdCNJMO48GDgNZBNIrVRfSLJxm35HwMS5DBk6lPnz5zNgwADmzZvHypUrsxe3QJAhRHqhk1i/28eTX2zl/W9LMCsy+oHcp4SEDlw4ZSCXTRvSLbx0GwhUEvj+Y6R9q7DZHU2reHXNENuBM8BZFHfX1atX88c//pFjjz2Wa6+9Foul4xacAkFnIES3k/EFoqzeWYkvGEWRZQocFo4cmo/VlCP1uCny2muvsfmHTfz6ugshesCu0mwHzyCjzKwVfD4f9957L7t27eJ3v/sdQ4e2XDe9frePp5Zs47t9PgIRFbtZYViRk8tnDGXq0AKRIxZ0GkJ0BVnllltu4dxzz2XWrFntur+u67z77rs88sgjXHHFFZxzzjlNBPS99fu478Pv2VsdIhxTm8y7kwC7RcHrMHPTsYdwwZSBQnwFWUeIriBr+Hw+5syZw5tvvonN1rEus927d/OHP/wBj8fDHXfcQX5+Pn9+dxPPLd9BMNp227DdrHDi2GLun3NoqyOaBIJ0I95tgqyxbNkyJk2a1GHBBRgwYACPPPIII0eOZN68efzP058mLbhgmAd9+F0Jv3ptHWLdIcgmwntBkDUWLVrE7Nmz0/Z4JpOJq6++GtfQQ/nth3vRUilLA4JRjfc3lPCTMb05fWK/tMUlELSGWOkKskIoFGLNmjVMnz497Y/90W4JvZngJjORA4wV7z8/3Zz2mASClhCiK8gKK1euZPTo0eTl5aX1cffXhliyuTyJZuOW2VZRx8Z9NWmLSSBoDSG6grSjaTo7KwKs213Nhj0+9lQHWbRoMUcffXTan+utb/YmP2W4BSIxjRdX7ExLPAJBW4icriBtVAcivLxyF09+sQ1/OIZJNho9oqqGXjeE27yjCURiOCzpe9vtrAwQbsMkvi00HXbk6oh7Qc4hRFfQYXRd55HPt/CPT35ElowNqjisXv6+aBcPfL6LP58znrMOH5CW5/aHYy1el+xEDoBApOXHEQjSiRBdQYfQdZ0739jAwjV72lxxBg5MQ/71wvXsrw1zzdEd9wcucLbcxZbsRA4Ar120FQuyg8jpCjrEI59vYeGaPUnXxwKEohp/++gH/rtub4ef/9ABXpzWjrVM28wyk4bkdzgWgSAZhOgK2o0vEOUfn/wYJ7jJlGuFohp3vrEBVetYY8JJ4/ogdXArTdfh/MkDO/QYAkGyCNEVtJuXV+1s1Z6yLSKqxicbSzsUg8UkM3fqICztHIUkS3DC2GLyW0lTCATpRIiuoF1oms4TX2xLvGmWJHVhlccWbelwLJfPGIqlmSvbgOufbpLPBXBNOJ4+F/+1yTGLSebnx43ocAwCQbII0RW0i91VQfyhju/4f72rGq2DKYY+HhvPXH5kyuPpbWaZv59/OKP7pLdhQyBoDVG9IGgX1cEIplZyC8mWa5lkidpwDI89Nd+E5kweUsDzV0/lsqdXEFW1VufQWU0ysiTxyNwjOHZ07w49r0CQKkJ0Be1ClqRWW2+TLdfSdTqUF27MEYPy+eL2Y3lp5S6e+mIbgUiMmKYTVTVMioxZkTDJMpdOG8zFRw2mOK/jbmcCQaoI0RW0i3ynhajasU4wMETXZU3f29DrsHDd7OFcM2sYS7dUsKXMjz8cw2FRGFTg4OiRRZiFf66gExGiK2gX/Tw2+npsbO9A+6wEHD2yV0amN8iyxMxDejHzkF5pf2yBoCOIr3xBu5AkieuPGY7D0v7GBLtFSUtXmkCQS4hxPYJ2E4yoTLr7o4b23lTp57Xx5f8eJ+aUCXoUYqUraDd2i8Kfz56AzZz626i+XEsIrqCnIURX0CHOPLw/t504KiXhNQT3MKYMLchgZAJB10SkFwRp4d31e/nt6xuIqBp14fh0w8Hx5xYevOAwjhwiBFfQMxGiK0gbqqbz6ab9PL5oC6t3Vhkm5rpRFjZ7ZBHXzB7G1KEFIqUg6NEI0RVkBE3TqQ3HkCWjDlcIrUBgIERXIBAIsojYSBMIBIIsIkRXIBAIsogQXYFAIMgiQnQFAoEgiwjRFQgEgiwiRFcgEAiyiBBdgUAgyCJCdAUCgSCLCNEVCASCLCJEVyAQCLKIEF2BQCDIIkJ0BQKBIIsI0RUIBIIsIkRXIBAIsogQXYFAIMgi/x8lLMKVJVs7wAAAAABJRU5ErkJggg==\n", + "image/png": 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", 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3sLtAJdYkMSRN4YkxJi7ocmaDTVPMuH+5FWNCav0fOGeLXlq2ewkg6xUYqkcvhxt2Dwy7C+ICXKOB5Jc5uOLF7zhV4cITpJwZFYkuiVF8/ssLiTY3bz2BEF1Bm8bu8vD51hxe/fYgJ0rtyBJ4PNpp39xYq5F7x/Tg2qGdibOEWCb25xS/Yrf8gJtJ71difzI24GaWZrBQcstyDCk9TwttQDOa2iy6A/Yu03PFoWCw4upzDYUX/B6LxUJcXJzvexcfgw9v1luN3Q69xKw2ilm/v+99NVz9ctjrkqe8/D27ckqDz1FXYTbIXHxue+bOCDD/LcyIkjFBm8ZiVLh+aBeuH9qFHcdLOJBXTpnDTVTV5Iih3RIbNhDR7ajTFDyU6gFJMZFg8kBMTOgxVDP1VXjrMsjfo5erBYPBAmmDMF79IimSQllZGXl5ecTGxhIdXZVjzt+rX9de6l9sq6n+xbP7cz2/ffuXYIpq+OepwfbsEvafLPcR3OxX7yT5igf91l13nD4HAIdbZfXefHJL7HSMr3vEfLgR1QsCQRX9OsUz9fxOzBjZjWuHdGZY96SGT6BVPXVuPIVePeBuWAzVGC1wx5d6A0aATTn9/GjIuBhmLAZFX1nHx8fTrl077HY7+fn5OIuydRMdW3H9glsTtw3ydsOHt4Baf941WOatPYQzQA43EO+uzwpLLMEiRFcgaAqM1jr9wEd1VrAYYPGeIMRU84AlofHxmKJh+mdw3QLoNlpfyRqsuq+upOiVEooZelwMNy2Emz7QxboGBoOB5ORkYmJicK/8M5rtFP4+5PvbXQx9vZyYv5WS+lwZV7xXwfdHqz6r2677Qez33+kXChUON1/tzA06j+sPh1vl3cwjzVpKJtILglaH26Pi9KhYjUrDV6qNRZKgy3A4munzVLxF4umLzTzwpR2DTP3VA4oZks8JT0yyDL0u1R+nsvSmjerJEdYk6DkR4jsHvIxVUdH2L0HyswIPytPBVQE//AvOvbxRHye31I5Blqh7pGZwVDg92FweokzNI4dCdAWtgiOFFcz/IYtPNmVT4XSjSBKqppHRPob7Lsrgyv6pzV+XOfohyN3u11bxkVFmOkTL/OU7B7d+avOqHjiNwQIj7m0az4PE7jD0zoa9dtsiJD83ySF5OuRshqJDkNQj6LfVNA1VVU8/TpVV1ls6HKyBkUGWKHe4hegKBMGQW2LnwQ83s/VYMaqq4arKk7qrbhf355Xz1OIdPLV4B7+45Bxmj8tovtVvz4n6Tn0dXra3DjBy64B6KiI0DYbc0UTBNYIdi/TVai1C8XTQAHXvcjxD7vYS0pqP2iILIMsykiQhyzKK6kKtJy0QrIGRW9WINTfQwKgBCNEVRCwH88u5/tVMSuwuPPVsSlU3QPx71QH255Xz7HUDm2ewpKzAlc/B4vtCL9cyRsGwWRDboWliawwVhX4Ph+Tp4HZgK8zBXlqKLMteD0VRfI5Vi21NrLFuPGHYj4sxK1iMzbe9JURXEJHkldm5YW4mpyqdQc+vtbk8LNueS2KUiacm9WmawEqyYdMCPa1gL9G7sjoNgeMbgy/XMlqh1+Uw8U9NE2MTUbMqI5DwSmjEREcT067hzmXRZgOX9+vIF1tPNHgzzWyQmTGyW7Pm/kX1giAi+esXuymxubwEN5jhkjaXh/c2HGH3iSDmhYXCkUx4Zyr8ezD88CLsW65vou3/CrJ/BI8LTZLRlHoaAwxmfeNs2D1w3Vst1+sg2n9XXkhVGQaL3iLcSGaN6YGpgeZF1cwY1b3RcYSCWOkKIo6SShfLd+aG3IFUjcuj8eb3h3n2+oHhCSjzFfjmad1vwB9VvgcSoGkeffWruvVhj6BbPcoGfdNs6J0Q2zE8cTUV/a6D45t98rohVWWAnvNubCid4unVIYadtTrSOt/3ls+5Mf0nENN/wum/mw0yF5+XQoe45muMACG6gghk0aZjyI1YBXpUjS+25fCHyX2IDbW1tzbr58I3f65bcGshqW59TM+QmdD3Gl18rQnQ7tzImczQ/3r46v/8PhVUVQZA6qCQKhfq483bh3HFi2spqnDWm9uviVGR6Jxo5blw/eINgQj5VxYIzvDJpmxsjZxRZpBlvt9fwBX9G2HCcnwTrPpj0IJ7GrcNfn4bzrsK0sc2/P3PFuYYGHATbH7Xb7dcwKoMUzRc+HDYwmkXY2bJA6O56fX1nCy1B+EyJnNOSgwL7xrZ7GY3IERXEIGcqnTW+VywtZluVaWonusExfcvgMv/5lhAr1yXDb57NvJEV9PAUQYX/FL3UqgspM7WO38YLNB5GPS8NKxhpSVY+fJXY1i4/ghvrj1MpdPt7acr6W5xSdEmZo/rwfVDu2A2nB0/XSG6goijvjvIYGsznU4XXy5bjmu3mdTUVNLS0khLSyMpKUi/hYoCv0MfIYRJu0fX6y5dCV0Cv9/ZRPXAgVV6F9nRTL1tGKpy0Yr+ta4RRDUxWKD9eXDT++EbvlmDGLOB2eMyuGdMD9YeKGDlrpPklzuQJUiJtTBpQCpDGmpgFEaE6AoijlizgfyyxjV/KrKEx17O6tXryMnJOf2w2Wx07NjxtAinpaV5iXL1I2H3B0j4/ucNqSsLDX5+By55olGfpUnZ8yV8/qA+bshZtXFWU2A10Kq+D5Ik+xff6oqN8ybB1FeaduQ8IMsS43q1Z1wdZvNnGyG6gohjYp8OvPXDYVyehpuUSIqBfz32gI+ln81m48SJE15CfOLECXbt2uV17IWLPdw5yPf2NKRJux6nbrfYUvnpDfjqyYCNHdLp1b6kV2HIxlom5rOqTMzTmj7mCECIriDimDGqGwvWZRFSLrEWo3ok+/VQtVqt9OjRgx496t9Zd79/K+z7wud4yJN2HWXBndfc7FoalOB6oXlAtuj+vakDmnVcTyQhRFcQcXROjGJIt0TWHfRuRw2mNhP04ZL3jm1cuZIh1n8nVShdWYBeLtbScNlh8f1+BTfgBqHHrpeTPbyrSfK2oA+gXLYjl+yiSsodbhKiTPROjePic9tjqD0bqQUiRFcQkTw1qQ/Xvrqu3tlm/jAbZAZ3TWRURnCzzuqkQ3/dH6HWaPWaXVkBJ+0aLNBxQOPiaAp2LaFRG4SOUjj8LWRcEtaw9p0sY953h/h8Ww6yJJ3+t5clfdKvUZaZeUF3po/sRvvYps0bNwYxI00QsazZl8/sdzcFXbNrMcj0aB/DJ/eNaryNn70Enu3l108h6Em7ihke3gkxLWzD5z8jIX+316FQhmkCuhn6bYvDFtK7mVn89cvduDxavQ0QZoOMySCz4I7hDOmWGLb3DydCdAURzaYjp7hrwU+4VJUKh3/xNch6jnVMr/a8dPP54fPV/Ww2bPvY77iaQJN2NSS0Xlcg3/JB4PcpPgbbPoKiw7pNZFQSdBoK/a7RzXHCSXkevNDPZ6BmKMM0Ab2s7Mm8sHTZvbH2EM+t2IvNFbylmNWosPDuES1SeIXoCiIel0fl610nmfvtQfaeLMOkyCDpdfweVeOawZ24Y3Q656Q0YrijP/L2wLyLQu9IQ5/yWzhlIeb0kcTExPivHT30Lax9oWr6hHbawwHQu7o0Dc6fDqN+AYndGvopvDm5C968FJzeG3zvbXPx6Ao7ub+ODe46ihke2V2nOU6wrDtQwJ1v/4Q9BMGtJsZs4NvHLqJdTMtKNYicriDiMSoyV/ZP5cr+qZwosZFX6sDu8hBnNdI9ORqrqYl2z1POg6tfDd0v12hFuvwfJPa9hJKSEvLz84mPj8dsrhIHTYOvn4Kf3vTJGZ+mumZ243zY8j7c/EF4uts0FT/lxyFvEHpUlX27d9G19+Az04MbwHNf7/MR3GAm/YL+y/j9DUd5cHzPBr9/UyBEV9CqSI23khof5lvu+ug3Tf+65H5wO0Grx9ZQUsBg0o3Nz78VBUhKSsJut1NcXIzZbCYuLg55+W91X4O6BLcmqgucLnj/Brj1v9B9dIM/isfjwSlZsbidProb0gYhIKkubrr9HvYdzCIuLo4ePXqQnp5+uhyv+s+dO3dGUfz/UswqqGDH8ZIGfx6HW2X+D4d54OJzUJrDtD5IhOgKBI2l3zTo2A/WvaTneCXZ2/bQGKWvIPtMhdEPQoe+Xi+3WCyYzWZKS0spXbeA+J/fQQp10oTLpgvvr7ZCdGBjcE3TcLlcOJ3O0w8AkzEBc1QyUlmO1/mh2jbKaQPZuuM7VFUlNzeXw4cPc+jQIQ4dOsR3333HggULOHToEPn5+XTp0sVHjHv06MEnh0BtoH1nNU63ypp9eVxyXsuZwCFEVyAIB+16wpR/w2V/hR2f6p1mtiKwJOrP9b8OLPF1vlySJOLj4tB+fqlOwQ1YI6t6YNPbMPZRn9d6PB4vgXW73RgMBkwmE1arlfj4+DMrztG/glV/8llpB23baIrRh3KizzSrbp0ePdp3FW632zly5AiHDh06LcwbNmzg8OHD5A28DWPHXnV+z4LB7vawJ7esRYmu2EgTCFoK2Zvg7Ul+0wp11ch+d8TDPy+tscqMaof26F5cHtVLZCVJwmg0YjKZMJlMGI3Guo1f6imHCwpzHDx2UE+lNIKJz69hf57vUM/sV+9EtZX6dZOrmdOtZva4Hvz2it6NiiWciJWuQNBSWP+KX6ELxURHddk4telTtB6XYDQafVexwWCJh4t/B98+E1xeuSYGK1z5z0YLLuidg3URrJucLOlVDC2Jlt8zJxC0FfJ2+XXpCsVER1LdJKlFtGvXjvj4eKxWa2iCW80FD8KgW/V8dLAYrXpqY+BNob+fH9LbxdDY/S+rUaFTYjNurAaBEF2BoKXgrPB7OBQTHcnjQgqHiY4k6SvWcY/r7cr1NWEYo/QV7hX/hLGPNf69q7jtgm6NbmRRNbi8byOmgzQBLWvdLRC0ZepYVYZUI6sYwRxkA0MgJAkufAgG3wZb3tOrMxxlZwZqelx6C/Poh2HA9eF73yrO75JA+1gzRwpDTHFUYZAlrh3SqenqtBuI2EgTCFoKi26HnYupbTZT7XuwYKo1cI2sKUYf397rsvDHp6pw6jDYinVBjkqChG5NOir+k43HeGrpTmwhGhsBWIwyXz44hh7tw9yJ2EhEekEgaCmMmO13tVuzRnbxHheVLg2XR2PZfhe/+brWxptihIzxTROfLENyBnQeAp0GQ2L3JhVcgGuHdObSPh2wGkOTKqtR4c9X92txggsivSAQtBy6jNAbG4p9c7tB1cgqZhh+b+SMcg8CSZJ47vqB/Br4aufJoBzlLEaZJ67qzfVDW+bsOZFeEAhaElveh/89GnqpFoAxGh7cDLEtpxEgXGiaxmebj/PSNwfILbHjcHu8BpSaFAlJkhjSLZGHJ/ZiWPeksxdsAIToCgQtCU2Dpb/Qu9pCEV6DFW56D85potRCC2LrsWIWrj/C4YIKKpxu4ixGBnVJYMaobnRODKHE7SwhRFcgaGmoHvj0Hn1TrT4DHagy0THD9W9Dr0ubJTxB42g9yR+BoDVwaA2s+Qcc36RbLNa1JFLM+iZW32kw5lHd30EQEQjRFQhaApoG378A380JzhRdU2HkAzDhj01eQSAIL0J0BYKWwLqX4Lt/Bj+FQnXBj6/rnWIX/bZJQtI0jZ+yTvHadwf56XARlU4PiiwRZzFyzeBO3HZBdzoltKwW20hA5HQFgrPNsZ/gnckNGvuD0Qq3fByeqRE1+GbPSX6/ZCdFFU5sTo9PlqNmtcCc6wZExAZWS0GIrkBwtnn/Jti3HH8J3IAeugDpF8HMJWELZ8EPh3lm+Z6g5pIpkkSMxcAHs0bSJy0ubDG0ZkRHmkBwNik7CQe/wZ/gPp/p4KHldn43xszJX8dy9KEY7h9qYsmeWhUNRzP1icFhYMnm4/xj+d6gB0F6NI0Sm4ub560n+1TDPBLaGkJ0BYKzydYP/W6EVXvo/udKC9f0NhJtkjAqEpPPNXqblgOgweaFjQ6lxObi8f9uC6rrqzbldjePLdrW6BjaAkJ0BYKzScFev8bloXjo4nHq12kkizYe85kmkf3qndiytngdK9++ktyFv/EOQdP4+egpjhWJ1W4ghOgKBGeTOrxvQ/HQBcg5vIevvvqKn3/+maNHj2KzhbYpp6oa89YeatAq9/Q1NI23M7Ma/Pq2gigZEwjOJtYEv4dD8tAFDucW8+zXz5Kfn09BQQH5+fkYDAbat29Pu3bt6vwam9iOrSUm/revnLxSR6M+isuj8enPx3nyqj6Nuk5rR4iuQHA26ThQt3Os5bMwqrOCxQCL97gDeuiqipnR197P188/ePqYpmmUl5efFuDaX/cePsYOuQdFcaCpGhjNYfk4ZXZXWK7TmhGiKxCEA00Dj0PPrxqsuq9tMAy4HlY84XO4poeuQYZLMwwYZVh5yM3qLA9zJp7ZTHM6HEz73UKm3mLmxhtvJCEhAUmSiI2NJTY2lvT0dK9rZ5+q5MbXMiktc6B5NAgwWCH/07/4nbzrD48qKlADIURXIGgMFXlw9Ac48bPemivJumGNKRa6XQhpQ+ufL2aJx3XuZAy7PkXSvPOpQXnoSjKmfpN4YOSNvP322zz++ONcdtllzJw5k0svvRSDwfu/eFGFk2tfXUd+mYNg9THYybugm4cL6keIrkDQEBylsO09KMvRx9hQVddaPc3XWQoHv4aDKyBtGPS6ynu1CLhcLkpKSlAG3k3Cvi/8dqTdOsDIrQPqWTUbzMjjfs2k1IFMmjSJoqIiPvroI55++mnuuusubr31VmbOnEn//v0BeOyTrRRVOIMW3FAZ0i2xaS7cihDVCwJBqFTkw/oXoTQbVDenBbc2qkt/PmcjbF5QdS6oqkpJSQmFhYVERUWR2Gsk0tS5eloiFAxWuOoFSB14+lBSUhL33Xcf69evZ/Xq1ZhMJq688koGDx7MX59/mbX78nF5vBU32LKwQESZFGaP8592EJxBiK5AEArOctj0ur4q1YLr2kJ1QckR2PExlRUV5OXlAZCSkkJUVJVnQd+pMG2unoqQA9yASgb9vCkvwaCb6zztvPPO429/+xtZWVnMmTOH5QcqcDgaV6FQH3EWI6Mykpvs+q0FIboCQSgc/LoqDXBmtdh9+it0uP7fVNicp4+98eVWLnr0vTOvU12oBXtw5e0lOTmZ+Ph4ZLnWf7++U2H2DzB4pl7RYIz2ft4Ypa9uz78F7vlO34QLAkVRmDBhAra0IUgGU+AX1KDzfW955XMBYvpPoOP0OV7HLEaZP07p49NcIfBF5HQFgmBxO+DEZtB8GwjcHpUXP9vI7265oM6XS6qL+OKtkD647vdIzoBJz8Olf9YnRxTsg8pCsCbqRuV9rwFzwybcnqp0Bj6pAViNCg9N6Mnl/VKb5PqtDSG6AkGw5G6p0zD8sRtGMOfjDdw/ZTAJMbW9EXQkgFOH9E04cwBHLlM0nH9ro8Ktiapq9ZZzhVIWVo3FKKNp8KcpfblhWMucvNsSEaIrEARL7ha9DtcPQ3ulctGArjy76Ef+ckd93rYSFOyBTsObJMS6kGUJs0HG4fafhw6lLMxiVIgxK9x9YTo3DutKYnRoKYu2jhBdQetD06DkKNhLdJE0WiCmI0S1a9x1neX1Pv30zDGMfmghv5o2tO6TVHfDxquHgV4dYtl+vKRR1zDIEm/eNpRRGcnIQfpCCLwRoitoPbhscGITHFlb5dwlnWlY0Dy68HYfB+16+9TMhoN+6e2ZNDKDZz7MpHfXegT+LM0NmD0ug998spUKZ8NMbWQJrujXkdE9G/nLq40jqhcErYPC/fD9M3BghZ4z9Tj1tlzVVfXVrdfV7lwE654De3Ho7xFEHe2fbhvDvGVbOV7o3z0M2aBXIZwFLu3bAaURq1OzQWHW2B5hjKhtIla6gsgnbxfs+FAX2EB4nOBxwYaXYPgv9KqAABw/fpylS5eiZGdy66gORFvq7hA7p1MiN47rzb8/20j/9PZ+ztAgKbRx6R5VY82+PBZtzCa31I7bo5EYZeSS81K4dkhnYuuJpyZGReZXE3rx7Fd7vSwcO9/3ls+5Mf0nENN/wum/mwwy/TvHM6BzQkixC3wRoiuIbMpyghfc02h6KmLja3DBI6B4bwRpmsbu3btZsmQJixcvZv/+/Vx11VVcP3USUdYdoLnruK7O76eP5t2VO/w+t+VQIUfK1jJ58mTfOt1a2F0e3vj+EG99n4XD7aHC4Z0W+OnIKf6+bA+TB6bxq/E96ZIUeAV95+ju7DtZxtItOUF755oUibR4C2/OrCdXLQgaMZhSENlsXgCF3lMTuk9/BZvDzaF3ZhNt1QX1jS+3snDVDr59rkYZlmKCnldB5+F4PB42bNjA4sWLWbx4MXa7nauvvpqpU6cyduxYjMaq1eSODyF3G/5mmgVCk018X9KZR/72OmVlZTz66KPMmDEDi8W3xOxUhZNb3tjA4fxy7HVUHFQjSxBtMrDgzuFBeR9omsbfl+3hncwsXJ76S8miTAo9U2J4564RxFuDdE4T1IvI6QoiF0cpnDro96nqZoV68Tip2LWMWbNmkZaWxuzZs7FYLHz44YccOXKEl156ifHjx58RXICMy8DQAO9ZyYAU14kxU+/ixx9/ZO7cuSxevJj09HT++te/UlRUdPrUSqeb61/L5EBeWUDBBVA1KHO4mfHmBnbllAYORZL43ZW9+fS+0UwdlIbZIBNtVjAbZIyKRJRJ//Ow7om8dPP5fHr/aCG4YUSsdAWRy8Gv4ch3p41kquk+/RVmTzqfOR9v4NA7s0mIsfhf6QI2p4clx9oxfOJ19OgR5CZRaTZsmldnza4PskEvVxs620ewd+zYwbPPPsvSpUu57bbbePjhh3lxwyn+t+1EnTW19dEuxkTm/43HqAS/niq1u1izN5/CcgduVSPOamREehLdkqMDv1gQMmKlK4hcig74CG41NZsV6sNqNnHT5aOCF1yAuM4w/AGwJPrkg72QFF1wk3vBsPv9rpD79evHggUL2L59OyaTicGjxvDZpqM+ghusE5jN5WHlrpPBfxZ0o5rJA9O4fXQ6d4/pwQ1DuwjBbUKE6AoiF3f9wxefnjmGlxZvIr+4nmYEzePXxzYg0Skw+jEYeJsuqpKiC7Birvpqgs4jYeTDMHBGwEkSnTp1Ys6cOfxh/jKURpjGVDg8vLrGf8pF0DIQ1QuCyEWq/8c3uGYFKfjROj4vlSApQ3+4bOAs08vRDBawxAe2aPTDh5tzcTdyLbQ3t4xjRZVBVTMImh+x0hVELpaEgKcEbFZQjPponcZitOqr37hOEJXcIMEFyC9rvN+tySCTfaoBq3dBsyBWuoKzi+0UZGfqHWVuu36bbo7VDWE69K9fvDoN06sX6tnQCtisoKmQ0jcMH6TxaJrmM9WhJqE4gdlc9dcSC84eQnQFZ4fSbNi/XJ+ooGneHrW2Qr3pYc8SXXx7jPe7CeVJPAen0401gI1C3c0KErTvW//gyGZEksLjBCYBMWZR4tVSEaLbQJxulU1HTlFU4cSjacRbjQzqkiDqGYPh5A7Y+XH9XWTVq9fsTN0KccgsfQVcxcqVK3n00Ue5/8q+3D0+HaXGnLKshfd7XapLShz2Lx/zfQ/ZAN3GNOqjhJtuyVHsO1m/m1kgHG6V9Hai+qClIkQ3RE6U2Hg38wjvrj9SZRaloQGyJOF0q1zZP5W7x6TTNy3+LEfaQincF1hwa6K69ckJm16H4b9g9/5DPPbYY+zZs4c5c+Yw7erJSJvm6StjPxMd6kQ2QtfReg62BXHv2Ax+v2RHg53AJGB0RjvaxzaggUPQLIiNtCDRNI25aw5y0T+/5Y21hymzuyl3uCl36D3xZXY3DrfK0i05XPdqJvct3ISzAcXtrRq3XR9bHpJPAoCKZjtF5ttPMHbsWC655BJ27tzJNddcg6QY4fw7dNvGYDevZCN0GgoZl4b8EZqaqwakNqDB+AxWk8I944QTWEtGdKQFyd++3M27mUeCNgmxGGX6pcXz/qyRmAzidxsAx9bpedwaohu0TwLg9GiUn/8gSSlpvtdW3XDgKzhe1Qzhb3NNMYFigXMmQlrLNW95fsU+5q09FPTPWjUGWSKjfQzLHxojBkS2YIQaBMEHG46EJLgAdpfKjpwSHlu0tQkjiyA0TTcX97PKDconATAZTSTZD/t/UjZAr6tg7JNw7hSISdV9axUzmGJ0O8WBM2DMb1u04AI8NKEnF5yTjMUY/H9PRZZIiDLy7t3DheC2cIToBsDlUXlm+V4fwQ2mLdPuUlm+M5esgormCLVlU5ZT55iax24YwbOf/Ehxub3+a6guOJZZ/zmKEdKGwMgHYdxTcPEfYewTMPhOSDqnzsGSLQlZlpg7fQiX9e1IlCnwhAurUaFzopXPf3khKbH+h2IKWg5CdAOwavdJ3GrDc7OqqjF/XVb4AopU7MVUzcP1IVifBCDgnLLWglGR+deNg5g7fQgXZCRjNsiYlDPfP1nSbRe7JFl5clJvlv9qLKnxLaP0TVA/onohAK9+e9DHPDoUXKrGoo3H+L8rzsNiDP9croghwOZZUEMdIbQKhQhHkiTG9mrP2F7tOV5sY9n2E+SXOXC6VZJjTIzskcyQbokinRBhCNENwM4g/EkDIUsSB/LK6depDZeRGSzUtdKFEIY6ym2zDrpTgpW7x4iqhNaAEN16cLg9qPUUdwTblilJumdpmyYmNeCYmz/dNobB98/n0euG131SbGqYAxMImhchuvVgkOV6p2UH25YJYArBVNoLjxtsReCsAHMcWBOaZHx40NhLYMenUHhA/7M1EVL6QJ+rwVSPq5UlHhK6oxUdqHO9G9AnQTHpI9QFgghGiG49KLJEtNlAuaNx5iEujxp6h1D+Xlj/Cmz9CNB0IxjVrXsQDL0Lht8N8Z0bFVdInNwJP/wbdi0GSfauRDBFw/8egUG3wqgHICnd7yWcaaMwFB9Bqie/W99QRxSTXoEgEEQwQnQDcPWgND766Rjueob3BSJGcpESFeRKtzwfPp4BOZv1VW7tW3KPA9b/RxfkXpfBtNfqX2GGg00LYNlv9YYDfxtZzooz5215D66bD+defiZkj4eSkhKcWiIp1iSozNfdvQjFJ8GozyeTRMGNILIRP8EBuPPCdAxyw3eHzbKG4cA3dOnShUceeYQ9e/bUfXLxUZg7GrI36i2zdeVAPU5dfPevgDcu0W/zm4qf3oTl/6dPaQhUOaC69BXwotth73I0TaOsrIy8vDwMBgMdOnZEHnK3vjIO5UdPNuo2jp1adlODQBAMog04CKa98gNbjxXTkMVutFlh05MTOZF9lHnz5vHWW2/Ru3dv7r33XqZNm4bZXJV2sBXD3DFQejy0sijFDKkD4Y4vGz4BoS6O/QjvTGnQOBvNGEXhDUuRknoQHx+PwVDjpspRpg92dJQEGO4onXEC6zEhIhobBIJACNENgqOFlUx6aS2l9tByuxajzNzpQ7jo3JTTx5xOJ0uWLOG1115j+/bt3H777dxzzz1kHPlAz5l6fCcHvL/dxfOZDvYUqMSaJQZ1lHlijJkLu1YJmTEKJr8IA25o1Of04d1r4eBKv08FikmTDHjOvw3DlBf8X1t1Q/4uyFoDFflVxzy6sMqKnn7oMBC6Xaib2QgErQQhukGy43gJt76xnjK7O6gVr8Uo88w1A5h6ft3Wgfv37+f1119n4Tvz2TdLJdbgu8J9PtPBM987mTvJwmUZBkwKLD/g5rsjHv55aY2Wz5Q+cH+AFtlQKM2BFwf5/SUQdEzGKHjsYOCcc3munlpx23TBNcVAu/OqansFgtaFEN0QOFZUye8+286Ph4vQwMe6UZElTIpE1+Ronp7SlxE9koO6rnPLJ0hL7seoeQtciV2j0/NlzL/ayvV9A6QOjFa4cwWkDgjlI9XN6r/B9//yEd3QYoqGq56FQbeEJyaBoBUgqhdCoEtSFO/eNeK0kflnm49TanehqnrudkzP9g0yMDft+xw03xVlZrYHuxum9Q7in8nthH1fhU90c7b4XeWGFJOrAvJ2hScegaCVENGiq6oaaw8U8NFPR8kptuPyqMRbjYzt1Z4bh3YhMdrUJO+bGm/lN5efx28uPy88Fyw/6fdwYaVGuygpuOoJzYO98Ai2U6fOHKpxE1P7hqb673UdTygrwN93L6SYACqLgjtPIGgjRKToOt0qC9YdZt53h6l0un1Gm/x89BQvfL2PiX068NCEXpyTEnOWIm0cyVESBZUablULSuQUWcZkMnkZoDT0z0pUQlhiwhIX+ByBoA0RcaJbancx860f2X2iFLvLv+Vi9fEvt5/gmz15vDZjCGN6+mkrbSlE+49tVGcFiwEW73FzXZ8A+VNJxpjQCWN0mAYSdugNWd/5uIOFFJMxCpJFB5lAUJOIao5wuD3cOm8DO3PqFtyaqBpUOj3c885GNma14NvcvlP1HftaxFsknr7YzANf2lm8x0WlS8Pl0Vi238Vvvq5l+G2wQK8wzvwacodfj4eQYtJU6Hdd+GISCFoBEVW98MelO/nwx6PYGzDwMdZiYMPvxhNlaqLFfeFBOPgN2KpyqtZE6HkpJHYL/Fq3E+2fGUgO/zaS721z8cJ6B7sLVGJNEkPSFJ4YY+KCLjU+S/tz4YEgTMBD4Y0JkP1Tw2KSFOh3LVw7L7wxCQQRTsSIbqXTzZA/r/Q7Nif5igf9un11nD7n9LEok8JTk/pw8/Cu4QtK9egVAz/8C05UzUJzV+34GyyACp2Hw+hfQcZ4kP3fWNjtdtzLnyR6+9tI9XZo1YExCq56Hgbd3KCPUSf7VsCimXWO2ak/Jivc9TV07B/emASCCCdi0gufb81pVBdopdPD3G8P+uzWNxhHObxzNXx6NxzboHsluO2Apj/cNl2As9bCxzPhgxvB5X377Xa7KSgooKSkBONFv0aKbhe6oYti0le5/a4Nz+eqSa9LYdgsXdRDwWiFS/8K7c/TqxecFdTrkSkQtCEiRnTf/P4wlc7GjWrJK3ew60TjJ0HgssH8K/Rbb2cQQyddFXD4O93HwO1E0zRKSkrIz8/HYrGQkpKCOaEj3P4lWJN0v4FgUMyQ0BVmfAaGpimPY+KfYPg9QQmvBmiKBXpdAetegj+3h+fOhWe6wF87wtIHIa8ewx+BoA0QMaKbWxJgUmwQKJJE9qnQzVt8+Gw2FOyvWtkGidsOJ7bhWvIgJ0+eRFVVOnToQExMzJmSraR0uO8H/ZbcYNXzov6Qjbqvbo+L4J41ev64qZAkXXivfxs6D9PTJrVH5igmkE1o8V0BVU+5nDoMaLqhjerRP//m9+D1cTDvEig+1nQxCwQtmIgpGXPUs3kW7NgcVVWpbKQhOcVHYd+yM7nbGgQ0pnHbMOz6lKRLnsKUWIdQxnaEe76FE9sg8z9nTMMlWXcfk2Q4fwaMuBeSmnFmVq9L9UfBAdj4FuTv1lMslnjoOABO7kDOWltlO1lHXlpzg9utd7vNvRDuXA4pvZvvMwgELYCI2Ugb9KcVFNt8Jw4Eu5EGoDoqqFz1Kp2kItLT0+nevbvPIyEhof5AVjwFG+b6CEvQJjAGC4x9DMb+OrgP7rJDZUHVuJ5YvaY33BaOjeWLR2DrB6FvuFmT9JV9XFrTxCUQtEAiZqXbq0MsPzay1tYaHcv/lryP69QJsrKyyMrK4tChQ3zzzTdkZWVx+PBhDAaDXzFOT0+ne5dOxG2a7yO4JXaN3692MP9qK9f0PiOIk881MvncWgLptutTH8Y8Gpw/rNHSvGN5QuXEVtj6vl/P3YArf3sJfPUkXP9WMwctEJw9IkZ07xnbg50nSqhwNHwzrV+nePqnp0J6KoMHD/Z5XtM0ioqKTgtyVlYWBw4c4OuvvyYrKwtnQRZb7lKIqqWjIZnAgG7ibS/Rh0xGOute1s12alHXyn/JHvcZ0dU8sPcLvcIhKqmZAxcIzg4RI7oXn5eCSZGpoGGiG21SmD3ON89bE0mSSE5OJjk5mSFDhvg8r53chfbGBL0aoQYhm8DIBnCURr7o2oph91KfSRchrfwlGTYvhNEPNkPAAsHZJ2KqFxRZ4lfje2I1eu/od77vLa98LkBM/wle+VxFkkiKMXHJeSk0BskU5fcbVtMEJig0T+i1ry2Rg9/4VjIQqv2jDbZ9GLaQSipdbDlWzNr9+Ww6UsSJkjBUqwgEYSRiVroAMy/ozrbjJSzbnuvTmVYXsqS3AH8wayRKIwZMAvomlp/x4SGZwFRjSWhcLC2BykK/34/Q7R9PBT6nHjRNY2t2CfO+O8TXu09iVmSoemunW6VPahyzL8pg/HkpGJSIWWcIWikRJbqSJPHsdQOJMRtYtDEbu8tDfWtLq1EmIcrER/eMonNiGFaWpmh97Pme/50eIQ7eJjAGGS7NMGCUYeUhN6uzPMyZWKN6QTZAv+tBiahvvX/qKHwJ2f4xlEGctSiudHLH/J/Yk1uGw+1B1Xwnemw+VswjH23BalJ4584R9EkTdpOCs0fE/dqXZYmnr+7HgjuG6Xleg4zFcOZjyJLus5CWYOG3V/Tm60fG0TU5jLfyFzzod3bXI6PMPH+phb9856D9P8vo8kI5L//kYup5tcRVMcKo+8MXz9nEmui3e67myj8YHLK1Qe3ZBeUOrnxxLTtySrC5PPXOrqtweigod3Ld3HVsOtKCHecErZ6IqdOti7wyO8t35HKy1IHd5SEp2sSQbomMSE/yMucOG5oG/xkOhQe8VrtBISn6OJ17vg1/XGeD0hPw4sA6h1f+4wcnr02y1Lvyd6oyr20z8MxPJsaPH8/48eO55JJL6NKlS71v7XB7mPLSDxzMLw8+l15FjNnAlw+OCe8vY4EgSCJedM8KRYfgtXF6BULQSPrK8O5VYI7RTWFMMcHV6jYVBQfgp3lwcqdexmaOg479YNjdkFx/pUc12sLr4MBKJD+JnqAsKRUz2oObOZhvY9WqVaxatYrVq1eTmJh4WoQvvvhikpO9h3x+tjmbJz7b4eXHEWyjjCzB5IFpvHjT+UF+owSC8CFEt6Gc3AkLJoG9VG9vrQdNUpAMFj0nXFmgexWoHv3WfNDNMPJ+aNezmQIH9q+Eb/8OJ3eA6tYf1chGvaW64wC46Ldwzvg6L1NRUYFt99ckf3UfUkPsH5Eg4xKY8anXUVVV2bZtG9988w2rVq1i7dq1ZGRknBbhMWPGcM28Tew7We71ulC6E80GmR+fmEC8tYV19wlaPRGX020xdOirt7AOukk3p/FXAmaIQpMUQEPTVKjI01MSbru+6++2wc/v6D4Eb14GZblNG7Omwaq/wMcz4PjGqjhq/cJQXfrx7B/ho1vh22d8Nszsdju5ublUVFQQ1/8KpG4X+M1zB8QYBZf9zeewLMsMGjSIRx55hP/9738UFhby8ssvExcXxzPPPEOnfiPYn9O4igdZkli0UZjuCJofsdINB44y2PoR7Pgv2Ko2aayJeqdV8VFdXAMhG/QysrtWBH1rHzKr/w7r/h2aR4IxSm9ZHvtrXC4XxcXFuN1uEhISsFqt+jkuG8y/Uh+3HqzzmjEKbvkI0seG/DH+s2oPz688iKfWT24oK12A4elJfHzvqJDfXyBoDK2gbqkFYI6F4XfrD9BXhotu1920ghFc0FectiJdvO77AaLbhTfGw2th3Yt+PRLqxVWJtvZZypL6U57Un7i4OKKjo703KY1W3THss9mw90t9NV+X05gp5ozgdvJtxQ6GChc+gltNsI5zoDdSCATNjRDdpiBrLexf4Vdw6zWB0VS94eCbv8Dkf4U3prXP1Sm4AY1pXHasG18l5rZPkesYOYTBDNfPh6LD8OPretoEqiZhaLo/Q6fBMPoh6DnR79DLYDHV0+DQ/pon/a50/YasnMVNTEGbRYhuU/DDi35v4YMygVFdsO0juOyv+sZbOCjJhqPr/D4VTEwSGsbsdVB+EuJS63+vpHS4/O8w4Y96asVeoud7YzpAjP9R86GSHGPCYpAbNKC0Ju1izGGJRyAIBbGRFm5KT+gr3VpUm8D850oL1/Q2Em2SMCoSk881evvtAiDB9k/CF9Pm9/x2j4UUkwZseT/49zSY9YqMzkP1MrQwCS7AxD4d6+1EDIZos8INQ+uvBRYImgIhuuFm/1d+x+yEZgJToZuCh4uCvX5zrCHF5HFA4b7wxdQIOsZbGNmjcVaQsiRxad8OYYpIIAgekV4IN5WFfkf5hGoC4ynLo6y42Ks9tvrPwX6t/nNCaQH+CrpCNqaxlwV3XjNw79gMfso65dUc0fk+XzP0mP4TiOk/weuY2SAzY2Q3jML8RnAWEKIbbjQV/Nz8hmoCIwEmkz7ht7pSoK6vgc6R4v2v6EI2pmnKAZghMiojmcv6dmT5jhPYXMHndg2yRFqClfsvPqcJoxMI6kb8qg831kR9NHotQjWBkaOTiIqKIioqCqvVitVqxWKxYLFYMJvNmM1mTCbT6YfRaMRoNGIwGDAYDCiKgqIoyLKMlDZYb+BoTEzGKEgbFFTszYEkScy5bgAXnNPOx2O5LkyKTMd4Cx/dM5IYs1hvCM4OLeInb/eJUv67KZtjpyqxu1SSooyMzEhmysBOWE0NLy06K2Rcgr+Vbkj2jwYr9JkavpgG3QSr/tC4mDQVBtwQvpjCgFGRmTdjKC+s3Meb3x8G8Eo3VGM2yGjAxee2Z851A0Xrr+CsctY60jRN4/NtJ3hl9QGyCitwulUva74ok4KmwbVDOjF7XEZ4/HCDQfXA/q9hz+dQnq/XmcZ2hL7T9O6pIAxqtDcvQzq23u9zQZnAGCzw6J7w3s5/chfs/NSvM1qgmDxI0P8GlGtf93tpu8vD51tzmLf2EMeKbDjcHswG3V5z1pgeTBmURpSpaX+/25wePt+Ww2trDnKksBK16sc6KdrEjJHduHlEV1JiG9CqLBCEmbMiuk63ykMfbebbvfl+VyY1McgSFqPC/DuGMax7Ew4vtJfAj/P0Sb1uBzi9zVQwRYMlHkY9CENv17uw/OBwOLBt/ZT4rx9pmAmMJEO/a+HaN0J/bX2c3AlvjA+9Iw2we2Smf9eZP7z8Pv379z993O1ReXbFXt7JPAL4X2VW//K8ZURXfnvFec22eeVwezApctPYewoEjaDZRVdVNe55dyPfHyjAHsIGiNWo8ME9IxnUJSH8QRUfhflX6YY0gbwDDFZI6gEzl3q16rrdbkpLS3G73cTFRGP58Do4vsmv12y9WOLh3rWQ2K0BHyQA2/8LSx4IvjUZwGBFmzaX+RuKePzxx3nooYd4/PHHcWsSdy74ic1HTwW1kWUxyvRNi+fdu4Y3+apXIGjJNLvozl1zkBdX7g96xllN4qwGMn87nuhwboKUndRdvioLgx8bIxshoQvcswbVFENZWRk2m42YmJgzvgSOMt05rOhgkCYwkr6anrkUOvlOIg4bOxfD4tngcfudb3Ya2ahPubhmHvSeBMDRo0e5++67KTpVTPptz7DtpANHCF1hZoPM0G6JvHPXiMbPqxMIIpRmrV5we1TmrjnoI7jZr96JLWuL17Hy7SvJXfibWq/XWLzleHiD+uAm3WgmlDldqgtKjuNedBd5eXkApKSkEBMTc+Z21hwLd6/UN9YMFr9Tc09jiob4LjDrm6YVXIC+U2H2DzBkpl6RULvV2BStHx9yu268UyW4AF27duWrr75i9M2/5MesUyEJLoDDrfLz0WL++3N24z+HQBChNOt93jd78nB5Gt4vX+n0MHfNQW4Z3jU8ubqczZC/x9dTliBMYDwOlKw1JBvtGOM7+r++KQpu/gAKD8KG12Dzu/pGnKScceLqfqFuAhPkJl1YSM6Aq56DiX+G3UuhYD/YTukbd+16QZ8pdeasJUliv9Idyeg9NSNYW0Wby8Pcbw+KFlxBm6VZRfeN7w9T4Wj45FeAwnIn27JLGBiO3G7mf/x2jwVlTEOVEczPC2DiH+t/n+QMuHIOTHwaSo/rY36MURCTcnYbDkxRMPCmkF6yJ7eUQwXlgU+shxMldrYeKw7Pv6FAEGE0a3ohq6Ci0deQJMgqbPx1cFboq7xaaYWQTGA8Ttj4Zp2jyH0wWnQBTjsf2p/bojq8gmXplhxcjXT3crg9fLY5zGkigSBCaNaVrr2ezbNgzacrKmz88S9/56XiPac7s8xms1enVjDHErUiRquSzzcgJBMY0C0cneV6DrcNkFNsq9NAPFhUDU4Uh166JhC0BppVdC1GhVK7/5bTYM2nLRYzN183jfOTVRwOx+mH3W73+rvD4aCiooKioiK/53VWihjSx0lMre9AyCYwshEcbUd0nfXk5EOZ2uBoRG5fIIhkmlV0M1JiyCsLsW61FpIkc+WYofTrFN+4YAoPwmtj9DRDDUI2gVFdbUZwAZKj6zb+DmVqQ3K0KdyhCQQRQbPmdGeNSSfa3DgvhY7xFvqmxXkdU1WNTUeKWLb9BEu2HGf1njzyygLUxsam6i2/tQjVmAZTTPgmPEQAF/Zs1+h/w2iTwthe4TM1FwgiiWZd6Y7rlYLZoDS4giHKpHDfuIzT5WKnKpx8+NNR3vj+MHaXBwkJDQ1JknC6VS48px33ju3B8PQk3xIzUxT0nYa27WOkGptpIZnAKGYYNqv5Sr1aAOPPS8Eoy0DDq1AkSeLyfnWU2QkErZxmFV1Flnjg4gye/WqfV4NEKObTkwemAfD51uM89sk2gDrbiVfvyWP9oUJ6p8Yx/45hxFm8GxQ2mkbS1/Uh1lrfhUdGmekQLfOX7xzc+qnNywTGCwkYdlcwH73VYFBkZl7QnblrDobcHAFgVCRuHdEVsyHC3OMEgjDR7G3Amqbxiw82883ukyGZT0eZFBbNHkXftHgWrj/CX/63K2jvBpMik5ZgYckvLiTeauTw4cM89thjbNy4kY33JZHsOIak1jEyvC4MZuh5Gdz4LgD5ZQ7yyxw4PSpxFgOdE6MwGVqnXXFRhZOJz6+hqMIZ8qyyhCgjKx4eKxy/BG2Ws+Iy5vaoPP7fbSzbkRvQZcyoSFiNCgvvHsGAzgms3Z/PrHc2hmSWA7rwntcxmr45y3n99dd4+OGHefTRR7GqFTB3NFQU+O1M84dTlTCm9MRz1zesOlTB3DUH2Xm8FJNBRpL0HLMkSdwyvCu3XdCt+Wwpm5EDeWVMe2UdFQ63lyVnXUhS1S/Oey+gT62cvEDQljirfrord+fx6rcH2JlTikfVKwaqiTYrSOi3onddmE5KnL4ymvjCGvaf9O6ICrYFVXPZGVi6nlf/+BCdOnU6c4HSHFhwlT7JN4ADl2a0sv+UzN8ct7It5VIcbk+dOWqTIiFJElf2T+Uf1w5odSvfrIIKbpm3nhKbi4p6fnlGmxRiLAbeu3sk56TENGOEAkHL46x57EmSxMQ+HZjYpwOHCyr4bHM22ads2F0ekqJNDE9P5vK+Hb2EasfxErKLGl5ULxktJI66zltwAeLSdDvFn9+GdS/pbbpepWSS7kUQk4I0+iEOSWP49oPtUFF/SsLp0QCNZTtOcLSokvdnjWhVuczu7aJZ+/glrN6Tx9w1B9l+vASTQUbT9JWt063SOzWO2eMymNA7BYMYBCkQtIxxPentonlk4rkBz5u39hDORragrj9URG6JnY7xtXKK5hgY9QCMvB8Or4G9y6E898zkiD5TofMwdp0o45G568AQfJ2p3aWyM6eEBz/YzNzpQ1qVsbYiS0zo04EJfTqQfaqSI4WVlNldxJiNdEuOoktS60utCASNoUWIbrBsOFSEp5HZEKMis+XYKS6PT/V/giRBj4v0hx/+9PlOnzx0MOkNu0vlu30FbDlWzPldI89zIRg6J0a1yvy1QBBOIkp0K5x1b3QF24KqahqltiAbH2pxrKiSLceKG/Ra0I1eXv/uEK9Ob2LPXIFA0GKJKNGtry032BZUSQKjoWG39/N/OHx64GFDUDVYtSePogonSaINViBok0TUzkY4hEpCon1Mw2pEv959ElcjLbZMisyPhwsbdQ2BQBC5RNRK9+bhXXluxb4GzVerRpZgRI+GTRUuq8MhDYJPb3hUjRJbPbPJBAJBqyaiRPf6oV3451d7G/x6k0FmxqhuDR4DLtdTdRCKw1Zrql4QCAShEVGiG281cmX/VL7YluN1mx+sd4MEzBjZvVHvXxSgNjcQiiyRFCXyuQJBWyWicroAf5jch3YxZkKd4G01Kvx+ch/f+twQmDqoE+ZGdpW5VZVRGcmNuoZAIIhcIk50E6JMLJo9ig5xFoxKcMprMcr84pJzuHVEt0a99y0jujbq9YqsC3e0OaJuMAQCQRg5a94LjaW40slTi3ewYtdJJMnX3lGS9NVtUpSJJ67qzRX962iGCJFZ72zkm915DWrSsBhlPv/FhfTs0HYmTQgEAm8iVnSrOVXh5KONx/hgw1GKKpy4VJUok4HBXRO4Z2wGw7onhnXj6nixjStfXBtyBYLVqHDLiK48NalP2GIRCASRR8SL7tlgZ04JN7++nvIgbQ2tRoXL+3XkuesHIoeajBYIBK0KIboN5GhhJfe/v4kDeeW43KrfseRRJgVNg19ccg73X5QhSsUEAoEQ3cayN7eMN78/xJItObhVDUWScKkq3ZOjue+iDCYPSMNqaj12jgKBoHEI0Q0TmqZhc3lwulVizAbhHSsQCPwiRFcgEAiaEbEcEwgEgmZEiK5AIBA0I0J0BQKBoBkRoisQCATNiBBdgUAgaEaE6AoEAkEzIkRXIBAImhEhugKBQNCMCNEVCASCZkSIrkAgEDQjQnQFAoGgGRGiKxAIBM2IEF2BQCBoRoToCgQCQTMiRFcgEAiakf8HEMzhehOLTwcAAAAASUVORK5CYII=\n", + "image/png": 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", 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