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# Directory Structure

```
├── .github
│   └── workflows
│       ├── run-tests.yml
│       ├── test-installation-with-conda.yml
│       └── test-installation-with-pip-on-windows.yml
├── .gitignore
├── CITATION
├── examples
│   ├── notebooks
│   │   ├── basic_run.ipynb
│   │   └── Titanic.ipynb
│   └── scripts
│       ├── binary_classifier_adult_fairness.py
│       ├── binary_classifier_ensemble.py
│       ├── binary_classifier_marketing.py
│       ├── binary_classifier_random.py
│       ├── binary_classifier_Titanic.py
│       ├── binary_classifier.py
│       ├── multi_class_classifier_digits.py
│       ├── multi_class_classifier_MNIST.py
│       ├── multi_class_classifier.py
│       ├── multi_class_drug_fairness.py
│       ├── regression_acs_fairness.py
│       ├── regression_crime_fairness.py
│       ├── regression_housing_fairness.py
│       ├── regression_law_school_fairness.py
│       ├── regression.py
│       └── tabular_mar_2021.py
├── LICENSE
├── MANIFEST.in
├── pytest.ini
├── README.md
├── requirements_dev.txt
├── requirements.txt
├── setup.py
├── supervised
│   ├── __init__.py
│   ├── algorithms
│   │   ├── __init__.py
│   │   ├── algorithm.py
│   │   ├── baseline.py
│   │   ├── catboost.py
│   │   ├── decision_tree.py
│   │   ├── extra_trees.py
│   │   ├── factory.py
│   │   ├── knn.py
│   │   ├── lightgbm.py
│   │   ├── linear.py
│   │   ├── nn.py
│   │   ├── random_forest.py
│   │   ├── registry.py
│   │   ├── sklearn.py
│   │   └── xgboost.py
│   ├── automl.py
│   ├── base_automl.py
│   ├── callbacks
│   │   ├── __init__.py
│   │   ├── callback_list.py
│   │   ├── callback.py
│   │   ├── early_stopping.py
│   │   ├── learner_time_constraint.py
│   │   ├── max_iters_constraint.py
│   │   ├── metric_logger.py
│   │   ├── terminate_on_nan.py
│   │   └── total_time_constraint.py
│   ├── ensemble.py
│   ├── exceptions.py
│   ├── fairness
│   │   ├── __init__.py
│   │   ├── metrics.py
│   │   ├── optimization.py
│   │   ├── plots.py
│   │   ├── report.py
│   │   └── utils.py
│   ├── model_framework.py
│   ├── preprocessing
│   │   ├── __init__.py
│   │   ├── datetime_transformer.py
│   │   ├── encoding_selector.py
│   │   ├── exclude_missing_target.py
│   │   ├── goldenfeatures_transformer.py
│   │   ├── kmeans_transformer.py
│   │   ├── label_binarizer.py
│   │   ├── label_encoder.py
│   │   ├── preprocessing_categorical.py
│   │   ├── preprocessing_missing.py
│   │   ├── preprocessing_utils.py
│   │   ├── preprocessing.py
│   │   ├── scale.py
│   │   └── text_transformer.py
│   ├── tuner
│   │   ├── __init__.py
│   │   ├── data_info.py
│   │   ├── hill_climbing.py
│   │   ├── mljar_tuner.py
│   │   ├── optuna
│   │   │   ├── __init__.py
│   │   │   ├── catboost.py
│   │   │   ├── extra_trees.py
│   │   │   ├── knn.py
│   │   │   ├── lightgbm.py
│   │   │   ├── nn.py
│   │   │   ├── random_forest.py
│   │   │   ├── tuner.py
│   │   │   └── xgboost.py
│   │   ├── preprocessing_tuner.py
│   │   ├── random_parameters.py
│   │   └── time_controller.py
│   ├── utils
│   │   ├── __init__.py
│   │   ├── additional_metrics.py
│   │   ├── additional_plots.py
│   │   ├── automl_plots.py
│   │   ├── common.py
│   │   ├── config.py
│   │   ├── constants.py
│   │   ├── data_validation.py
│   │   ├── importance.py
│   │   ├── jsonencoder.py
│   │   ├── leaderboard_plots.py
│   │   ├── learning_curves.py
│   │   ├── metric.py
│   │   ├── shap.py
│   │   ├── subsample.py
│   │   └── utils.py
│   └── validation
│       ├── __init__.py
│       ├── validation_step.py
│       ├── validator_base.py
│       ├── validator_custom.py
│       ├── validator_kfold.py
│       └── validator_split.py
└── tests
    ├── __init__.py
    ├── checks
    │   ├── __init__.py
    │   ├── check_automl_with_regression.py
    │   ├── run_ml_tests.py
    │   └── run_performance_tests.py
    ├── conftest.py
    ├── data
    │   ├── 179.csv
    │   ├── 24.csv
    │   ├── 3.csv
    │   ├── 31.csv
    │   ├── 38.csv
    │   ├── 44.csv
    │   ├── 720.csv
    │   ├── 737.csv
    │   ├── acs_income_1k.csv
    │   ├── adult_missing_values_missing_target_500rows.csv
    │   ├── boston_housing.csv
    │   ├── CrimeData
    │   │   ├── cities.json
    │   │   ├── crimedata.csv
    │   │   └── README.md
    │   ├── Drug
    │   │   ├── Drug_Consumption.csv
    │   │   └── README.md
    │   ├── housing_regression_missing_values_missing_target.csv
    │   ├── iris_classes_missing_values_missing_target.csv
    │   ├── iris_missing_values_missing_target.csv
    │   ├── LawSchool
    │   │   ├── bar_pass_prediction.csv
    │   │   └── README.md
    │   ├── PortugeseBankMarketing
    │   │   └── Data_FinalProject.csv
    │   └── Titanic
    │       ├── test_with_Survived.csv
    │       └── train.csv
    ├── README.md
    ├── tests_algorithms
    │   ├── __init__.py
    │   ├── test_baseline.py
    │   ├── test_catboost.py
    │   ├── test_decision_tree.py
    │   ├── test_extra_trees.py
    │   ├── test_factory.py
    │   ├── test_knn.py
    │   ├── test_lightgbm.py
    │   ├── test_linear.py
    │   ├── test_nn.py
    │   ├── test_random_forest.py
    │   ├── test_registry.py
    │   └── test_xgboost.py
    ├── tests_automl
    │   ├── __init__.py
    │   ├── test_adjust_validation.py
    │   ├── test_automl_init.py
    │   ├── test_automl_report.py
    │   ├── test_automl_sample_weight.py
    │   ├── test_automl_time_constraints.py
    │   ├── test_automl.py
    │   ├── test_data_types.py
    │   ├── test_dir_change.py
    │   ├── test_explain_levels.py
    │   ├── test_golden_features.py
    │   ├── test_handle_imbalance.py
    │   ├── test_integration.py
    │   ├── test_joblib_version.py
    │   ├── test_models_needed_for_predict.py
    │   ├── test_prediction_after_load.py
    │   ├── test_repeated_validation.py
    │   ├── test_restore.py
    │   ├── test_stack_models_constraints.py
    │   ├── test_targets.py
    │   └── test_update_errors_report.py
    ├── tests_callbacks
    │   ├── __init__.py
    │   └── test_total_time_constraint.py
    ├── tests_ensemble
    │   ├── __init__.py
    │   └── test_save_load.py
    ├── tests_fairness
    │   ├── __init__.py
    │   ├── test_binary_classification.py
    │   ├── test_multi_class_classification.py
    │   └── test_regression.py
    ├── tests_preprocessing
    │   ├── __init__.py
    │   ├── disable_eda.py
    │   ├── test_categorical_integers.py
    │   ├── test_datetime_transformer.py
    │   ├── test_encoding_selector.py
    │   ├── test_exclude_missing.py
    │   ├── test_goldenfeatures_transformer.py
    │   ├── test_label_binarizer.py
    │   ├── test_label_encoder.py
    │   ├── test_preprocessing_missing.py
    │   ├── test_preprocessing_utils.py
    │   ├── test_preprocessing.py
    │   ├── test_scale.py
    │   └── test_text_transformer.py
    ├── tests_tuner
    │   ├── __init__.py
    │   ├── test_hill_climbing.py
    │   ├── test_time_controller.py
    │   └── test_tuner.py
    ├── tests_utils
    │   ├── __init__.py
    │   ├── test_compute_additional_metrics.py
    │   ├── test_importance.py
    │   ├── test_learning_curves.py
    │   ├── test_metric.py
    │   ├── test_shap.py
    │   └── test_subsample.py
    └── tests_validation
        ├── __init__.py
        ├── test_validator_kfold.py
        └── test_validator_split.py
```

# Files

--------------------------------------------------------------------------------
/tests/data/3.csv:
--------------------------------------------------------------------------------

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1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,1.0,0.0
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1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,0.0,0.0
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1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,0.0,1.0,0.0
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0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,0.0,1.0,1.0,1.0,0.0,0.0,0.0
0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,1.0,0.0
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0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,0.0,0.0,1.0,1.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,0.0,0.0,1.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,0.0,0.0,1.0,1.0,1.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,0.0,0.0,1.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,1.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,0.0,0.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,0.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,0.0,1.0,0.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,0.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,0.0,0.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,0.0,0.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,0.0,0.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,1.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,0.0,0.0
1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,0.0,0.0
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1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,0.0,0.0
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1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0,1.0,0.0,1.0,1.0,1.0,1.0,0.0
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1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0,1.0,1.0,1.0,0.0,1.0,0.0,1.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0,0.0,1.0,1.0,0.0,1.0,0.0,1.0
1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0,1.0,1.0,1.0,0.0,0.0,0.0,1.0
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1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,0.0,0.0,0.0,0.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,0.0,0.0,0.0,0.0,1.0,0.0
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1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,0.0,1.0,0.0,1.0,0.0,0.0
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1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,1,1.0,0.0,1.0,0.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,0.0,1.0,0.0,1.0,1.0,0.0
1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,0.0,1.0,0.0,0.0,1.0,0.0
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1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1,1.0,0.0,1.0,0.0,1.0,1.0,0.0
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1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,0.0,1.0,0.0,0.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1,0.0,0.0,1.0,0.0,0.0,1.0,0.0
1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,0.0,1.0,0.0
0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,0.0,1.0,0.0,1.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,1,1.0,0.0,1.0,0.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
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0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,1.0,0.0
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0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,0.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1,1.0,1.0,1.0,0.0,1.0,0.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,1.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
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1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,0.0,1.0,0.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,2.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
1.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,2.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,1.0,1.0,0.0
1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,0.0,1.0,0.0
0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,1.0,1.0,0.0
0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,1,1.0,1.0,0.0,1.0,1.0,1.0,0.0

```