automl / auto-sklearn

Automated Machine Learning with scikit-learn
https://automl.github.io/auto-sklearn
BSD 3-Clause "New" or "Revised" License
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Installation of autosklearn impossible #347

Closed mattvan83 closed 7 years ago

mattvan83 commented 7 years ago

Dear experts,

I have tried many times to install autosklearn but always get errors when building:

Failed building wheel for auto-sklearn Failed building wheel for pyrfr Command "/home/matthieu/Softwares/anaconda3/bin/python -u -c "import setuptools, tokenize;file='/tmp/pip-build-3ky03izd/pyrfr/setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record /tmp/pip-_af8ke37-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-3ky03izd/pyrfr/

So I tried to run autosklearn but get the error code:

Traceback (most recent call last):
  File "AutoML.SignClustROIs.COMAJ.py", line 1, in <module>
    import autosklearn.classification
ModuleNotFoundError: No module named 'autosklearn'

Please find below the totality of code:

pip install auto-sklearn
Collecting auto-sklearn
  Using cached auto-sklearn-0.2.0.tar.gz
Requirement already satisfied: setuptools in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages/setuptools-27.2.0-py3.6.egg (from auto-sklearn)
Requirement already satisfied: nose in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: six in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: Cython in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: numpy>=1.9.0 in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: scipy>=0.14.1 in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: scikit-learn==0.18.1 in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: lockfile in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: joblib in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: psutil in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: pyyaml in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: liac-arff in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: pandas in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: ConfigSpace<0.4,>=0.3.3 in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: pynisher>=0.4 in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Collecting pyrfr<0.5,>=0.4 (from auto-sklearn)
  Using cached pyrfr-0.4.0.tar.gz
Requirement already satisfied: smac==0.5.0 in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from auto-sklearn)
Requirement already satisfied: python-dateutil>=2 in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from pandas->auto-sklearn)
Requirement already satisfied: pytz>=2011k in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from pandas->auto-sklearn)
Requirement already satisfied: argparse in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from ConfigSpace<0.4,>=0.3.3->auto-sklearn)
Requirement already satisfied: typing in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from ConfigSpace<0.4,>=0.3.3->auto-sklearn)
Requirement already satisfied: pyparsing in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from ConfigSpace<0.4,>=0.3.3->auto-sklearn)
Requirement already satisfied: docutils>=0.3 in /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages (from pynisher>=0.4->auto-sklearn)
Building wheels for collected packages: auto-sklearn, pyrfr
  Running setup.py bdist_wheel for auto-sklearn ... error
  Complete output from command /home/matthieu/Softwares/anaconda3/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-3ky03izd/auto-sklearn/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d /tmp/tmphq1epnsupip-wheel- --python-tag cp36:
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build/lib.linux-x86_64-3.6
  creating build/lib.linux-x86_64-3.6/autosklearn
  copying autosklearn/__version__.py -> build/lib.linux-x86_64-3.6/autosklearn
  copying autosklearn/estimators.py -> build/lib.linux-x86_64-3.6/autosklearn
  copying autosklearn/smbo.py -> build/lib.linux-x86_64-3.6/autosklearn
  copying autosklearn/automl.py -> build/lib.linux-x86_64-3.6/autosklearn
  copying autosklearn/ensemble_builder.py -> build/lib.linux-x86_64-3.6/autosklearn
  copying autosklearn/regression.py -> build/lib.linux-x86_64-3.6/autosklearn
  copying autosklearn/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn
  copying autosklearn/constants.py -> build/lib.linux-x86_64-3.6/autosklearn
  copying autosklearn/classification.py -> build/lib.linux-x86_64-3.6/autosklearn
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline
  copying autosklearn/pipeline/create_searchspace_util.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline
  copying autosklearn/pipeline/base.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline
  copying autosklearn/pipeline/regression.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline
  copying autosklearn/pipeline/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline
  copying autosklearn/pipeline/constants.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline
  copying autosklearn/pipeline/util.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline
  copying autosklearn/pipeline/classification.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning
  copying autosklearn/metalearning/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning
  copying autosklearn/metalearning/mismbo.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning
  creating build/lib.linux-x86_64-3.6/autosklearn/metrics
  copying autosklearn/metrics/classification_metrics.py -> build/lib.linux-x86_64-3.6/autosklearn/metrics
  copying autosklearn/metrics/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metrics
  copying autosklearn/metrics/util.py -> build/lib.linux-x86_64-3.6/autosklearn/metrics
  creating build/lib.linux-x86_64-3.6/autosklearn/ensembles
  copying autosklearn/ensembles/ensemble_selection.py -> build/lib.linux-x86_64-3.6/autosklearn/ensembles
  copying autosklearn/ensembles/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/ensembles
  copying autosklearn/ensembles/abstract_ensemble.py -> build/lib.linux-x86_64-3.6/autosklearn/ensembles
  creating build/lib.linux-x86_64-3.6/autosklearn/data
  copying autosklearn/data/abstract_data_manager.py -> build/lib.linux-x86_64-3.6/autosklearn/data
  copying autosklearn/data/xy_data_manager.py -> build/lib.linux-x86_64-3.6/autosklearn/data
  copying autosklearn/data/competition_data_manager.py -> build/lib.linux-x86_64-3.6/autosklearn/data
  copying autosklearn/data/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/data
  creating build/lib.linux-x86_64-3.6/autosklearn/util
  copying autosklearn/util/logging_.py -> build/lib.linux-x86_64-3.6/autosklearn/util
  copying autosklearn/util/dependencies.py -> build/lib.linux-x86_64-3.6/autosklearn/util
  copying autosklearn/util/common.py -> build/lib.linux-x86_64-3.6/autosklearn/util
  copying autosklearn/util/pipeline.py -> build/lib.linux-x86_64-3.6/autosklearn/util
  copying autosklearn/util/backend.py -> build/lib.linux-x86_64-3.6/autosklearn/util
  copying autosklearn/util/stopwatch.py -> build/lib.linux-x86_64-3.6/autosklearn/util
  copying autosklearn/util/hash.py -> build/lib.linux-x86_64-3.6/autosklearn/util
  copying autosklearn/util/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/util
  copying autosklearn/util/data.py -> build/lib.linux-x86_64-3.6/autosklearn/util
  creating build/lib.linux-x86_64-3.6/autosklearn/evaluation
  copying autosklearn/evaluation/test_evaluator.py -> build/lib.linux-x86_64-3.6/autosklearn/evaluation
  copying autosklearn/evaluation/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/evaluation
  copying autosklearn/evaluation/abstract_evaluator.py -> build/lib.linux-x86_64-3.6/autosklearn/evaluation
  copying autosklearn/evaluation/util.py -> build/lib.linux-x86_64-3.6/autosklearn/evaluation
  copying autosklearn/evaluation/train_evaluator.py -> build/lib.linux-x86_64-3.6/autosklearn/evaluation
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/components
  copying autosklearn/pipeline/components/base.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components
  copying autosklearn/pipeline/components/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/implementations
  copying autosklearn/pipeline/implementations/item_selector.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/implementations
  copying autosklearn/pipeline/implementations/Imputation.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/implementations
  copying autosklearn/pipeline/implementations/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/implementations
  copying autosklearn/pipeline/implementations/util.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/implementations
  copying autosklearn/pipeline/implementations/Normalizer.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/implementations
  copying autosklearn/pipeline/implementations/OneHotEncoder.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/implementations
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/pca.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/select_percentile_regression.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/feature_agglomeration.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/no_preprocessing.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/select_percentile_classification.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/extra_trees_preproc_for_classification.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/kitchen_sinks.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/random_trees_embedding.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/nystroem_sampler.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/polynomial.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/select_percentile.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/select_rates.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/kernel_pca.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/densifier.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/liblinear_svc_preprocessor.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/extra_trees_preproc_for_regression.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/fast_ica.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  copying autosklearn/pipeline/components/feature_preprocessing/truncatedSVD.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/feature_preprocessing
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/adaboost.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/sgd.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/bernoulli_nb.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/lda.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/liblinear_svc.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/xgradient_boosting.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/random_forest.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/extra_trees.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/k_nearest_neighbors.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/passive_aggressive.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/decision_tree.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/gradient_boosting.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/libsvm_svc.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/multinomial_nb.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/logreg.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/gaussian_nb.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  copying autosklearn/pipeline/components/classification/qda.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/classification
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing
  copying autosklearn/pipeline/components/data_preprocessing/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/adaboost.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/sgd.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/gaussian_process.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/liblinear_svr.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/xgradient_boosting.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/random_forest.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/extra_trees.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/ard_regression.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/k_nearest_neighbors.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/decision_tree.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/ridge_regression.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/gradient_boosting.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/libsvm_svr.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  copying autosklearn/pipeline/components/regression/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/regression
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/one_hot_encoding
  copying autosklearn/pipeline/components/data_preprocessing/one_hot_encoding/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/one_hot_encoding
  copying autosklearn/pipeline/components/data_preprocessing/one_hot_encoding/one_hot_encoding.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/one_hot_encoding
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/balancing
  copying autosklearn/pipeline/components/data_preprocessing/balancing/balancing.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/balancing
  copying autosklearn/pipeline/components/data_preprocessing/balancing/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/balancing
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/rescaling
  copying autosklearn/pipeline/components/data_preprocessing/rescaling/abstract_rescaling.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/rescaling
  copying autosklearn/pipeline/components/data_preprocessing/rescaling/normalize.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/rescaling
  copying autosklearn/pipeline/components/data_preprocessing/rescaling/minmax.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/rescaling
  copying autosklearn/pipeline/components/data_preprocessing/rescaling/none.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/rescaling
  copying autosklearn/pipeline/components/data_preprocessing/rescaling/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/rescaling
  copying autosklearn/pipeline/components/data_preprocessing/rescaling/standardize.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/rescaling
  creating build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/imputation
  copying autosklearn/pipeline/components/data_preprocessing/imputation/imputation.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/imputation
  copying autosklearn/pipeline/components/data_preprocessing/imputation/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/pipeline/components/data_preprocessing/imputation
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/input
  copying autosklearn/metalearning/input/aslib_simple.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/input
  copying autosklearn/metalearning/input/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/input
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning
  copying autosklearn/metalearning/metalearning/meta_base.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning
  copying autosklearn/metalearning/metalearning/create_datasets.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning
  copying autosklearn/metalearning/metalearning/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/utils
  copying autosklearn/metalearning/utils/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/utils
  copying autosklearn/metalearning/utils/plot_utils.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/utils
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/optimizers
  copying autosklearn/metalearning/optimizers/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/optimizers
  copying autosklearn/metalearning/optimizers/optimizer_base.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/optimizers
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/metafeatures
  copying autosklearn/metalearning/metafeatures/plot_metafeatures.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metafeatures
  copying autosklearn/metalearning/metafeatures/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metafeatures
  copying autosklearn/metalearning/metafeatures/metafeatures.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metafeatures
  copying autosklearn/metalearning/metafeatures/metafeature.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metafeatures
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/clustering
  copying autosklearn/metalearning/metalearning/clustering/gmeans.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/clustering
  copying autosklearn/metalearning/metalearning/clustering/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/clustering
  copying autosklearn/metalearning/metalearning/clustering/cluster_instances.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/clustering
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/metrics
  copying autosklearn/metalearning/metalearning/metrics/result_correlation.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/metrics
  copying autosklearn/metalearning/metalearning/metrics/misc.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/metrics
  copying autosklearn/metalearning/metalearning/metrics/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/metrics
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/kNearestDatasets
  copying autosklearn/metalearning/metalearning/kNearestDatasets/kND.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/kNearestDatasets
  copying autosklearn/metalearning/metalearning/kNearestDatasets/kNDEvaluateSurrogate.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/kNearestDatasets
  copying autosklearn/metalearning/metalearning/kNearestDatasets/kNDFeatureSelection.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/kNearestDatasets
  copying autosklearn/metalearning/metalearning/kNearestDatasets/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/metalearning/kNearestDatasets
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/optimizers/metalearn_optimizer
  copying autosklearn/metalearning/optimizers/metalearn_optimizer/metalearn_optimizer.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/optimizers/metalearn_optimizer
  copying autosklearn/metalearning/optimizers/metalearn_optimizer/metalearn_optimizer_parser.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/optimizers/metalearn_optimizer
  copying autosklearn/metalearning/optimizers/metalearn_optimizer/__init__.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/optimizers/metalearn_optimizer
  copying autosklearn/metalearning/optimizers/metalearn_optimizer/metalearner.py -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/optimizers/metalearn_optimizer
  running egg_info
  writing auto_sklearn.egg-info/PKG-INFO
  writing dependency_links to auto_sklearn.egg-info/dependency_links.txt
  writing requirements to auto_sklearn.egg-info/requires.txt
  writing top-level names to auto_sklearn.egg-info/top_level.txt
  warning: manifest_maker: standard file '-c' not found

  reading manifest file 'auto_sklearn.egg-info/SOURCES.txt'
  reading manifest template 'MANIFEST.in'
  writing manifest file 'auto_sklearn.egg-info/SOURCES.txt'
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/accuracy_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/accuracy_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/accuracy_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/accuracy_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/accuracy_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/accuracy_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/accuracy_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/accuracy_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/accuracy_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/accuracy_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/accuracy_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/accuracy_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_dense
  copying autosklearn/metalearning/files/average_precision_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_dense
  copying autosklearn/metalearning/files/average_precision_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_dense
  copying autosklearn/metalearning/files/average_precision_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_dense
  copying autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_dense
  copying autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_dense
  copying autosklearn/metalearning/files/average_precision_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_dense
  copying autosklearn/metalearning/files/average_precision_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_sparse
  copying autosklearn/metalearning/files/average_precision_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_sparse
  copying autosklearn/metalearning/files/average_precision_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_sparse
  copying autosklearn/metalearning/files/average_precision_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_sparse
  copying autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_sparse
  copying autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_sparse
  copying autosklearn/metalearning/files/average_precision_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_sparse
  copying autosklearn/metalearning/files/average_precision_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/average_precision_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/average_precision_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse
  copying autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/balanced_accuracy_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_dense
  copying autosklearn/metalearning/files/f1_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_dense
  copying autosklearn/metalearning/files/f1_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_dense
  copying autosklearn/metalearning/files/f1_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_dense
  copying autosklearn/metalearning/files/f1_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_dense
  copying autosklearn/metalearning/files/f1_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_dense
  copying autosklearn/metalearning/files/f1_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_dense
  copying autosklearn/metalearning/files/f1_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_macro_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_macro_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_macro_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_macro_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_macro_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_macro_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_micro_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_micro_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_micro_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_micro_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_dense
  copying autosklearn/metalearning/files/f1_micro_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_micro_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/f1_weighted_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_dense
  copying autosklearn/metalearning/files/log_loss_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_dense
  copying autosklearn/metalearning/files/log_loss_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_dense
  copying autosklearn/metalearning/files/log_loss_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_dense
  copying autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_dense
  copying autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_dense
  copying autosklearn/metalearning/files/log_loss_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_dense
  copying autosklearn/metalearning/files/log_loss_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_sparse
  copying autosklearn/metalearning/files/log_loss_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_sparse
  copying autosklearn/metalearning/files/log_loss_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_sparse
  copying autosklearn/metalearning/files/log_loss_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_sparse
  copying autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_sparse
  copying autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_sparse
  copying autosklearn/metalearning/files/log_loss_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_sparse
  copying autosklearn/metalearning/files/log_loss_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_dense
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_dense
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_dense
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_dense
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_dense
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_dense
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_dense
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse
  copying autosklearn/metalearning/files/log_loss_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/log_loss_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_dense
  copying autosklearn/metalearning/files/pac_score_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_dense
  copying autosklearn/metalearning/files/pac_score_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_dense
  copying autosklearn/metalearning/files/pac_score_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_dense
  copying autosklearn/metalearning/files/pac_score_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_dense
  copying autosklearn/metalearning/files/pac_score_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_dense
  copying autosklearn/metalearning/files/pac_score_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_dense
  copying autosklearn/metalearning/files/pac_score_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_sparse
  copying autosklearn/metalearning/files/pac_score_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_sparse
  copying autosklearn/metalearning/files/pac_score_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_sparse
  copying autosklearn/metalearning/files/pac_score_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_sparse
  copying autosklearn/metalearning/files/pac_score_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_sparse
  copying autosklearn/metalearning/files/pac_score_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_sparse
  copying autosklearn/metalearning/files/pac_score_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_sparse
  copying autosklearn/metalearning/files/pac_score_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_dense
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_dense
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_dense
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_dense
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_dense
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_dense
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_dense
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_sparse
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_sparse
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_sparse
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_sparse
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_sparse
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_sparse
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_sparse
  copying autosklearn/metalearning/files/pac_score_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/pac_score_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_dense
  copying autosklearn/metalearning/files/precision_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_dense
  copying autosklearn/metalearning/files/precision_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_dense
  copying autosklearn/metalearning/files/precision_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_dense
  copying autosklearn/metalearning/files/precision_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_dense
  copying autosklearn/metalearning/files/precision_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_dense
  copying autosklearn/metalearning/files/precision_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_dense
  copying autosklearn/metalearning/files/precision_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_macro_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_macro_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_macro_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_macro_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_macro_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_macro_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_micro_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_micro_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_micro_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_micro_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_dense
  copying autosklearn/metalearning/files/precision_micro_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_micro_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/precision_weighted_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_dense
  copying autosklearn/metalearning/files/recall_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_dense
  copying autosklearn/metalearning/files/recall_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_dense
  copying autosklearn/metalearning/files/recall_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_dense
  copying autosklearn/metalearning/files/recall_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_dense
  copying autosklearn/metalearning/files/recall_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_dense
  copying autosklearn/metalearning/files/recall_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_dense
  copying autosklearn/metalearning/files/recall_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_macro_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_macro_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_macro_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_macro_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_macro_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_macro_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_micro_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_micro_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_micro_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_micro_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_dense
  copying autosklearn/metalearning/files/recall_micro_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_micro_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse
  copying autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/recall_weighted_multiclass.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_dense
  copying autosklearn/metalearning/files/roc_auc_binary.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_dense
  copying autosklearn/metalearning/files/roc_auc_binary.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_dense
  copying autosklearn/metalearning/files/roc_auc_binary.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_dense
  copying autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_dense
  copying autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_dense
  copying autosklearn/metalearning/files/roc_auc_binary.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_dense
  copying autosklearn/metalearning/files/roc_auc_binary.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_binary.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_binary.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_binary.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_binary.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_binary.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_binary.classification_sparse
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_dense/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_dense
  creating build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/algorithm_runs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/configurations.csv -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/description.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_costs.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_runstatus.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/feature_values.arff -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse
  copying autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse/readme.txt -> build/lib.linux-x86_64-3.6/autosklearn/metalearning/files/roc_auc_multiclass.classification_sparse
  copying autosklearn/data/competition_c_functions.c -> build/lib.linux-x86_64-3.6/autosklearn/data
  copying autosklearn/data/competition_c_functions.pyx -> build/lib.linux-x86_64-3.6/autosklearn/data
  copying autosklearn/util/logging.yaml -> build/lib.linux-x86_64-3.6/autosklearn/util
  running build_ext
  building 'autosklearn.data.competition_c_functions' extension
  creating build/temp.linux-x86_64-3.6
  creating build/temp.linux-x86_64-3.6/autosklearn
  creating build/temp.linux-x86_64-3.6/autosklearn/data
  gcc -pthread -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages/numpy/core/include -I/home/matthieu/Softwares/anaconda3/include/python3.6m -c autosklearn/data/competition_c_functions.c -o build/temp.linux-x86_64-3.6/autosklearn/data/competition_c_functions.o
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from autosklearn/data/competition_c_functions.c:20:
  /home/matthieu/Softwares/anaconda3/include/inttypes.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
   #error "Use this header only with Microsoft Visual C++ compilers!"
    ^
  In file included from /home/matthieu/Softwares/anaconda3/include/inttypes.h:48:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from autosklearn/data/competition_c_functions.c:20:
  /home/matthieu/Softwares/anaconda3/include/stdint.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
   #error "Use this header only with Microsoft Visual C++ compilers!"
    ^
  In file included from /home/matthieu/Softwares/anaconda3/include/inttypes.h:48:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from autosklearn/data/competition_c_functions.c:20:
  /home/matthieu/Softwares/anaconda3/include/stdint.h:135:30: error: expected ‘=’, ‘,’, ‘;’, ‘asm’ or ‘__attribute__’ before ‘int64_t’
   typedef signed __int64       int64_t;
                                ^
  /home/matthieu/Softwares/anaconda3/include/stdint.h:136:30: error: expected ‘=’, ‘,’, ‘;’, ‘asm’ or ‘__attribute__’ before ‘uint64_t’
   typedef unsigned __int64     uint64_t;
                                ^
  /home/matthieu/Softwares/anaconda3/include/stdint.h:147:1: error: unknown type name ‘uint64_t’
   typedef uint64_t  uint_least64_t;
   ^
  /home/matthieu/Softwares/anaconda3/include/stdint.h:157:1: error: unknown type name ‘uint64_t’
   typedef uint64_t  uint_fast64_t;
   ^
  /home/matthieu/Softwares/anaconda3/include/stdint.h:164:30: error: conflicting types for ‘intptr_t’
      typedef _W64 signed int   intptr_t;
                                ^
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:36:0,
                   from autosklearn/data/competition_c_functions.c:20:
  /usr/include/unistd.h:270:20: note: previous declaration of ‘intptr_t’ was here
   typedef __intptr_t intptr_t;
                      ^
  In file included from /home/matthieu/Softwares/anaconda3/include/inttypes.h:48:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from autosklearn/data/competition_c_functions.c:20:
  /home/matthieu/Softwares/anaconda3/include/stdint.h:170:1: error: unknown type name ‘uint64_t’
   typedef uint64_t  uintmax_t;
   ^
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from autosklearn/data/competition_c_functions.c:20:
  /home/matthieu/Softwares/anaconda3/include/inttypes.h:288:1: error: unknown type name ‘_inline’
   _inline
   ^
  /home/matthieu/Softwares/anaconda3/include/inttypes.h:290:11: error: expected ‘=’, ‘,’, ‘;’, ‘asm’ or ‘__attribute__’ before ‘__cdecl’
   imaxdiv_t __cdecl imaxdiv(intmax_t numer, intmax_t denom)
             ^
  /home/matthieu/Softwares/anaconda3/include/inttypes.h:290:11: error: unknown type name ‘__cdecl’
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:71:0,
                   from autosklearn/data/competition_c_functions.c:20:
  /home/matthieu/Softwares/anaconda3/include/python3.6m/pyhash.h:64:9: error: unknown type name ‘uint64_t’
           uint64_t k0;
           ^
  /home/matthieu/Softwares/anaconda3/include/python3.6m/pyhash.h:65:9: error: unknown type name ‘uint64_t’
           uint64_t k1;
           ^
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:79:0,
                   from autosklearn/data/competition_c_functions.c:20:
  /home/matthieu/Softwares/anaconda3/include/python3.6m/longintrepr.h:47:1: error: unknown type name ‘uint64_t’
   typedef uint64_t twodigits;
   ^
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:87:0,
                   from autosklearn/data/competition_c_functions.c:20:
  /home/matthieu/Softwares/anaconda3/include/python3.6m/dictobject.h:31:5: error: unknown type name ‘uint64_t’
       uint64_t ma_version_tag;
       ^
  In file included from /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages/numpy/core/include/numpy/ndarraytypes.h:1788:0,
                   from /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                   from /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                   from autosklearn/data/competition_c_functions.c:451:
  /home/matthieu/Softwares/anaconda3/lib/python3.6/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
   #warning "Using deprecated NumPy API, disable it by " \
    ^
  error: command 'gcc' failed with exit status 1

  ----------------------------------------
  Failed building wheel for auto-sklearn
  Running setup.py clean for auto-sklearn
  Running setup.py bdist_wheel for pyrfr ... error
  Complete output from command /home/matthieu/Softwares/anaconda3/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-3ky03izd/pyrfr/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d /tmp/tmpo2nn7p19pip-wheel- --python-tag cp36:
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build/lib.linux-x86_64-3.6
  creating build/lib.linux-x86_64-3.6/pyrfr
  copying pyrfr/__init__.py -> build/lib.linux-x86_64-3.6/pyrfr
  running build_ext
  building '_regression' extension
  swigging pyrfr/regression.i to pyrfr/regression_wrap.cpp
  swig -python -c++ -I${CMAKE_SOURCE_DIR}/include -I./include -o pyrfr/regression_wrap.cpp pyrfr/regression.i
  creating build/temp.linux-x86_64-3.6
  creating build/temp.linux-x86_64-3.6/pyrfr
  gcc -pthread -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I${CMAKE_SOURCE_DIR}/include -I./include -I/home/matthieu/Softwares/anaconda3/include/python3.6m -c pyrfr/regression_wrap.cpp -o build/temp.linux-x86_64-3.6/pyrfr/regression_wrap.o -O2 -std=c++11
  cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ [enabled by default]
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from pyrfr/regression_wrap.cpp:173:
  /home/matthieu/Softwares/anaconda3/include/inttypes.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
   #error "Use this header only with Microsoft Visual C++ compilers!"
    ^
  In file included from /home/matthieu/Softwares/anaconda3/include/inttypes.h:48:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from pyrfr/regression_wrap.cpp:173:
  /home/matthieu/Softwares/anaconda3/include/stdint.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
   #error "Use this header only with Microsoft Visual C++ compilers!"
    ^
  In file included from /home/matthieu/Softwares/anaconda3/lib/gcc/x86_64-unknown-linux-gnu/4.8.5/include/stdint.h:9:0,
                   from /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:41,
                   from /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/char_traits.h:376,
                   from /home/matthieu/Softwares/anaconda3/gcc/include/c++/string:40,
                   from /home/matthieu/Softwares/anaconda3/gcc/include/c++/stdexcept:39,
                   from pyrfr/regression_wrap.cpp:3083:
  /home/matthieu/Softwares/anaconda3/include/stdint.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
   #error "Use this header only with Microsoft Visual C++ compilers!"
    ^
  In file included from ./include/cereal/external/rapidjson/rapidjson.h:168:0,
                   from ./include/cereal/external/rapidjson/stream.h:15,
                   from ./include/cereal/external/rapidjson/writer.h:18,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  /home/matthieu/Softwares/anaconda3/include/inttypes.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
   #error "Use this header only with Microsoft Visual C++ compilers!"
    ^
  In file included from /home/matthieu/Softwares/anaconda3/include/inttypes.h:48:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from pyrfr/regression_wrap.cpp:173:
  /home/matthieu/Softwares/anaconda3/include/stdint.h:135:30: error: expected initializer before ‘int64_t’
   typedef signed __int64       int64_t;
                                ^
  /home/matthieu/Softwares/anaconda3/include/stdint.h:136:30: error: expected initializer before ‘uint64_t’
   typedef unsigned __int64     uint64_t;
                                ^
  /home/matthieu/Softwares/anaconda3/include/stdint.h:147:9: error: ‘uint64_t’ does not name a type
   typedef uint64_t  uint_least64_t;
           ^
  /home/matthieu/Softwares/anaconda3/include/stdint.h:157:9: error: ‘uint64_t’ does not name a type
   typedef uint64_t  uint_fast64_t;
           ^
  /home/matthieu/Softwares/anaconda3/include/stdint.h:164:30: error: conflicting declaration ‘typedef int intptr_t’
      typedef _W64 signed int   intptr_t;
                                ^
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:36:0,
                   from pyrfr/regression_wrap.cpp:173:
  /usr/include/unistd.h:270:20: error: ‘intptr_t’ has a previous declaration as ‘typedef __intptr_t intptr_t’
   typedef __intptr_t intptr_t;
                      ^
  In file included from /home/matthieu/Softwares/anaconda3/include/inttypes.h:48:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from pyrfr/regression_wrap.cpp:173:
  /home/matthieu/Softwares/anaconda3/include/stdint.h:170:9: error: ‘uint64_t’ does not name a type
   typedef uint64_t  uintmax_t;
           ^
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6:0,
                   from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                   from pyrfr/regression_wrap.cpp:173:
  /home/matthieu/Softwares/anaconda3/include/inttypes.h:288:1: error: ‘_inline’ does not name a type
   _inline
   ^
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:71:0,
                   from pyrfr/regression_wrap.cpp:173:
  /home/matthieu/Softwares/anaconda3/include/python3.6m/pyhash.h:64:9: error: ‘uint64_t’ does not name a type
           uint64_t k0;
           ^
  /home/matthieu/Softwares/anaconda3/include/python3.6m/pyhash.h:65:9: error: ‘uint64_t’ does not name a type
           uint64_t k1;
           ^
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:79:0,
                   from pyrfr/regression_wrap.cpp:173:
  /home/matthieu/Softwares/anaconda3/include/python3.6m/longintrepr.h:47:9: error: ‘uint64_t’ does not name a type
   typedef uint64_t twodigits;
           ^
  In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:87:0,
                   from pyrfr/regression_wrap.cpp:173:
  /home/matthieu/Softwares/anaconda3/include/python3.6m/dictobject.h:31:5: error: ‘uint64_t’ does not name a type
       uint64_t ma_version_tag;
       ^
  In file included from /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/char_traits.h:376:0,
                   from /home/matthieu/Softwares/anaconda3/gcc/include/c++/string:40,
                   from /home/matthieu/Softwares/anaconda3/gcc/include/c++/stdexcept:39,
                   from pyrfr/regression_wrap.cpp:3083:
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:69:11: error: ‘::uint64_t’ has not been declared
     using ::uint64_t;
             ^
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:74:11: error: ‘::uint_fast64_t’ has not been declared
     using ::uint_fast64_t;
             ^
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:79:11: error: ‘::uint_least64_t’ has not been declared
     using ::uint_least64_t;
             ^
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:81:11: error: ‘::uintmax_t’ has not been declared
     using ::uintmax_t;
             ^
  In file included from /home/matthieu/Softwares/anaconda3/gcc/include/c++/random:50:0,
                   from pyrfr/regression_wrap.cpp:3156:
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1549:5: error: ‘uint_fast64_t’ was not declared in this scope
       uint_fast64_t,
       ^
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: error: template argument 1 is invalid
       6364136223846793005ULL> mt19937_64;
                             ^
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:39: error: invalid type in declaration before ‘;’ token
       6364136223846793005ULL> mt19937_64;
                                         ^
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1560:38: error: ‘uint_fast64_t’ was not declared in this scope
     typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12>
                                        ^
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1560:62: error: template argument 1 is invalid
     typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12>
                                                                ^
  /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1561:18: error: invalid type in declaration before ‘;’ token
       ranlux48_base;
                    ^
  In file included from ./include/cereal/access.hpp:38:0,
                   from ./include/cereal/details/traits.hpp:43,
                   from ./include/cereal/cereal.hpp:43,
                   from ./include/rfr/splits/binary_split_one_feature_rss_loss.hpp:14,
                   from pyrfr/regression_wrap.cpp:3160:
  ./include/cereal/details/helpers.hpp:59:21: error: expected type-specifier before ‘uint64_t’
     using size_type = uint64_t;
                       ^
  ./include/cereal/details/helpers.hpp:215:25: error: ‘uint64_t’ has not been declared
       BinaryData( T && d, uint64_t s ) : data(std::forward<T>(d)), size(s) {}
                           ^
  ./include/cereal/details/helpers.hpp:218:5: error: ‘uint64_t’ does not name a type
       uint64_t size; //!< size in bytes
       ^
  ./include/cereal/details/helpers.hpp: In constructor ‘cereal::BinaryData<T>::BinaryData(T&&, int)’:
  ./include/cereal/details/helpers.hpp:215:66: error: class ‘cereal::BinaryData<T>’ does not have any field named ‘size’
       BinaryData( T && d, uint64_t s ) : data(std::forward<T>(d)), size(s) {}
                                                                    ^
  In file included from ./include/rfr/splits/binary_split_one_feature_rss_loss.hpp:14:0,
                   from pyrfr/regression_wrap.cpp:3160:
  ./include/cereal/cereal.hpp: At global scope:
  ./include/cereal/cereal.hpp:564:26: error: ‘size_type’ was not declared in this scope
         std::unordered_set<size_type> itsVersionedTypes;
                            ^
  ./include/cereal/cereal.hpp:564:35: error: template argument 1 is invalid
         std::unordered_set<size_type> itsVersionedTypes;
                                     ^
  ./include/cereal/cereal.hpp:564:35: error: template argument 2 is invalid
  ./include/cereal/cereal.hpp:564:35: error: template argument 3 is invalid
  ./include/cereal/cereal.hpp:564:35: error: template argument 4 is invalid
  ./include/cereal/cereal.hpp: In member function ‘uint32_t cereal::OutputArchive<ArchiveType, Flags>::registerClassVersion()’:
  ./include/cereal/cereal.hpp:478:53: error: request for member ‘insert’ in ‘((cereal::OutputArchive<ArchiveType, Flags>*)this)->cereal::OutputArchive<ArchiveType, Flags>::itsVersionedTypes’, which is of non-class type ‘int’
           const auto insertResult = itsVersionedTypes.insert( hash );
                                                       ^
  In file included from ./include/cereal/types/bitset.hpp:34:0,
                   from ./include/rfr/splits/binary_split_one_feature_rss_loss.hpp:15,
                   from pyrfr/regression_wrap.cpp:3160:
  ./include/cereal/types/string.hpp: In function ‘typename std::enable_if<cereal::traits::is_output_serializable<cereal::BinaryData<T>, Archive>::value, void>::type cereal::save(Archive&, const std::basic_string<CharT, Traits, Alloc>&)’:
  ./include/cereal/types/string.hpp:44:36: error: expected type-specifier before ‘size_type’
       ar( make_size_tag( static_cast<size_type>(str.size()) ) );
                                      ^
  ./include/cereal/types/string.hpp:44:36: error: expected ‘>’ before ‘size_type’
  ./include/cereal/types/string.hpp:44:36: error: expected ‘(’ before ‘size_type’
  ./include/cereal/types/string.hpp:44:36: error: ‘size_type’ was not declared in this scope
  ./include/cereal/types/string.hpp: In function ‘typename std::enable_if<cereal::traits::is_input_serializable<cereal::BinaryData<T>, Archive>::value, void>::type cereal::load(Archive&, std::basic_string<CharT, Traits, Alloc>&)’:
  ./include/cereal/types/string.hpp:53:5: error: ‘size_type’ was not declared in this scope
       size_type size;
       ^
  ./include/cereal/types/string.hpp:53:15: error: expected ‘;’ before ‘size’
       size_type size;
                 ^
  ./include/cereal/types/string.hpp:54:24: error: ‘size’ was not declared in this scope
       ar( make_size_tag( size ) );
                          ^
  In file included from ./include/rfr/util.hpp:11:0,
                   from ./include/rfr/splits/binary_split_one_feature_rss_loss.hpp:16,
                   from pyrfr/regression_wrap.cpp:3160:
  ./include/cereal/types/vector.hpp: In function ‘typename std::enable_if<((cereal::traits::is_output_serializable<cereal::BinaryData<T>, Archive>::value && std::is_arithmetic<T>::value) && (! std::is_same<T, bool>::value)), void>::type cereal::save(Archive&, const std::vector<T, A>&)’:
  ./include/cereal/types/vector.hpp:44:36: error: expected type-specifier before ‘size_type’
       ar( make_size_tag( static_cast<size_type>(vector.size()) ) ); // number of elements
                                      ^
  ./include/cereal/types/vector.hpp:44:36: error: expected ‘>’ before ‘size_type’
  ./include/cereal/types/vector.hpp:44:36: error: expected ‘(’ before ‘size_type’
  ./include/cereal/types/vector.hpp:44:36: error: ‘size_type’ was not declared in this scope
  ./include/cereal/types/vector.hpp: In function ‘typename std::enable_if<((cereal::traits::is_input_serializable<cereal::BinaryData<T>, Archive>::value && std::is_arithmetic<T>::value) && (! std::is_same<T, bool>::value)), void>::type cereal::load(Archive&, std::vector<T, A>&)’:
  ./include/cereal/types/vector.hpp:54:5: error: ‘size_type’ was not declared in this scope
       size_type vectorSize;
       ^
  ./include/cereal/types/vector.hpp:54:15: error: expected ‘;’ before ‘vectorSize’
       size_type vectorSize;
                 ^
  ./include/cereal/types/vector.hpp:55:24: error: ‘vectorSize’ was not declared in this scope
       ar( make_size_tag( vectorSize ) );
                          ^
  ./include/cereal/types/vector.hpp: In function ‘typename std::enable_if<((! cereal::traits::is_output_serializable<cereal::BinaryData<T>, Archive>::value) || (! std::is_arithmetic<T>::value)), void>::type cereal::save(Archive&, const std::vector<T, A>&)’:
  ./include/cereal/types/vector.hpp:67:36: error: expected type-specifier before ‘size_type’
       ar( make_size_tag( static_cast<size_type>(vector.size()) ) ); // number of elements
                                      ^
  ./include/cereal/types/vector.hpp:67:36: error: expected ‘>’ before ‘size_type’
  ./include/cereal/types/vector.hpp:67:36: error: expected ‘(’ before ‘size_type’
  ./include/cereal/types/vector.hpp:67:36: error: ‘size_type’ was not declared in this scope
  ./include/cereal/types/vector.hpp: In function ‘typename std::enable_if<((! cereal::traits::is_input_serializable<cereal::BinaryData<T>, Archive>::value) || (! std::is_arithmetic<T>::value)), void>::type cereal::load(Archive&, std::vector<T, A>&)’:
  ./include/cereal/types/vector.hpp:78:5: error: ‘size_type’ was not declared in this scope
       size_type size;
       ^
  ./include/cereal/types/vector.hpp:78:15: error: expected ‘;’ before ‘size’
       size_type size;
                 ^
  ./include/cereal/types/vector.hpp:79:24: error: ‘size’ was not declared in this scope
       ar( make_size_tag( size ) );
                          ^
  ./include/cereal/types/vector.hpp: In function ‘void cereal::save(Archive&, const std::vector<bool, A>&)’:
  ./include/cereal/types/vector.hpp:90:36: error: expected type-specifier before ‘size_type’
       ar( make_size_tag( static_cast<size_type>(vector.size()) ) ); // number of elements
                                      ^
  ./include/cereal/types/vector.hpp:90:36: error: expected ‘>’ before ‘size_type’
  ./include/cereal/types/vector.hpp:90:36: error: expected ‘(’ before ‘size_type’
  ./include/cereal/types/vector.hpp:90:36: error: ‘size_type’ was not declared in this scope
  ./include/cereal/types/vector.hpp: In function ‘void cereal::load(Archive&, std::vector<bool, A>&)’:
  ./include/cereal/types/vector.hpp:99:5: error: ‘size_type’ was not declared in this scope
       size_type size;
       ^
  ./include/cereal/types/vector.hpp:99:15: error: expected ‘;’ before ‘size’
       size_type size;
                 ^
  ./include/cereal/types/vector.hpp:100:24: error: ‘size’ was not declared in this scope
       ar( make_size_tag( size ) );
                          ^
  In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                   from ./include/cereal/external/rapidjson/writer.h:18,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/../allocators.h: In member function ‘void* rapidjson::MemoryPoolAllocator<BaseAllocator>::Malloc(std::size_t)’:
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           size = CEREAL_RAPIDJSON_ALIGN(size);
                  ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           size = CEREAL_RAPIDJSON_ALIGN(size);
                  ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           size = CEREAL_RAPIDJSON_ALIGN(size);
                  ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: ‘uint64_t’ was not declared in this scope
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           size = CEREAL_RAPIDJSON_ALIGN(size);
                  ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           size = CEREAL_RAPIDJSON_ALIGN(size);
                  ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           size = CEREAL_RAPIDJSON_ALIGN(size);
                  ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           size = CEREAL_RAPIDJSON_ALIGN(size);
                  ^
  In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                   from ./include/cereal/external/rapidjson/writer.h:19,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/../allocators.h:180:44: error: expected ‘)’ before ‘;’ token
           size = CEREAL_RAPIDJSON_ALIGN(size);
                                              ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:180:44: error: expected ‘)’ before ‘;’ token
  In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                   from ./include/cereal/external/rapidjson/writer.h:18,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                 ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                 ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                 ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                 ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                 ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                 ^
  In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                   from ./include/cereal/external/rapidjson/writer.h:19,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/../allocators.h:185:125: error: expected ‘)’ before ‘;’ token
           void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                                                                               ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:185:125: error: expected ‘)’ before ‘;’ token
  In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                   from ./include/cereal/external/rapidjson/writer.h:18,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/../allocators.h: In member function ‘void* rapidjson::MemoryPoolAllocator<BaseAllocator>::Realloc(void*, std::size_t, std::size_t)’:
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: ‘uint64_t’ was not declared in this scope
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                          ^
  In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                   from ./include/cereal/external/rapidjson/writer.h:19,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/../allocators.h:198:60: error: expected ‘)’ before ‘;’ token
           originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                                                              ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:198:60: error: expected ‘)’ before ‘;’ token
  In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                   from ./include/cereal/external/rapidjson/writer.h:18,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                     ^
  In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                   from ./include/cereal/external/rapidjson/writer.h:19,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/../allocators.h:199:50: error: expected ‘)’ before ‘;’ token
           newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                                                    ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:199:50: error: expected ‘)’ before ‘;’ token
  In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                   from ./include/cereal/external/rapidjson/writer.h:18,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                     ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                     ^
  In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                   from ./include/cereal/external/rapidjson/writer.h:19,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/../allocators.h:206:146: error: expected ‘)’ before ‘{’ token
           if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                                                                                                    ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:222:5: error: expected ‘)’ at end of input
       }
       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:222:5: error: expected statement at end of input
  ./include/cereal/external/rapidjson/internal/../allocators.h:222:5: error: expected ‘}’ at end of input
  In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                   from ./include/cereal/external/rapidjson/writer.h:18,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/../allocators.h: In member function ‘bool rapidjson::MemoryPoolAllocator<BaseAllocator>::AddChunk(std::size_t)’:
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: ‘uint64_t’ was not declared in this scope
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                         ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                          ^
  ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
   #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                       ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
           if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                          ^
  In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                   from ./include/cereal/external/rapidjson/writer.h:19,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/../allocators.h:240:146: error: expected ‘)’ before ‘{’ token
           if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                                                                                    ^
  ./include/cereal/external/rapidjson/internal/../allocators.h:240:146: error: expected ‘)’ before ‘{’ token
  ./include/cereal/external/rapidjson/internal/../allocators.h:249:5: warning: no return statement in function returning non-void [-Wreturn-type]
       }
       ^
  In file included from ./include/cereal/external/rapidjson/internal/dtoa.h:22:0,
                   from ./include/cereal/external/rapidjson/writer.h:21,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/itoa.h: At global scope:
  ./include/cereal/external/rapidjson/internal/itoa.h:123:21: error: ‘rapidjson::internal::u64toa’ declared as an ‘inline’ variable
   inline char* u64toa(uint64_t value, char* buffer) {
                       ^
  ./include/cereal/external/rapidjson/internal/itoa.h:123:21: error: ‘uint64_t’ was not declared in this scope
  ./include/cereal/external/rapidjson/internal/itoa.h:123:37: error: expected primary-expression before ‘char’
   inline char* u64toa(uint64_t value, char* buffer) {
                                       ^
  ./include/cereal/external/rapidjson/internal/itoa.h:123:49: error: expression list treated as compound expression in initializer [-fpermissive]
   inline char* u64toa(uint64_t value, char* buffer) {
                                                   ^
  ./include/cereal/external/rapidjson/internal/itoa.h:123:51: error: expected ‘,’ or ‘;’ before ‘{’ token
   inline char* u64toa(uint64_t value, char* buffer) {
                                                     ^
  In file included from ./include/cereal/external/rapidjson/internal/dtoa.h:23:0,
                   from ./include/cereal/external/rapidjson/writer.h:21,
                   from ./include/cereal/external/rapidjson/prettywriter.h:18,
                   from ./include/cereal/archives/json.hpp:53,
                   from ./include/rfr/forests/regression_forest.hpp:21,
                   from ./include/rfr/trees/k_ary_tree.hpp:26,
                   from pyrfr/regression_wrap.cpp:3161:
  ./include/cereal/external/rapidjson/internal/diyfp.h:34:20: error: expected ‘}’ before end of line
   CEREAL_RAPIDJSON_DIAG_PUSH
                      ^
  ./include/cereal/external/rapidjson/internal/diyfp.h:34:20: error: expected ‘}’ before end of line
  ./include/cereal/external/rapidjson/internal/diyfp.h:34:20: error: expected declaration before end of line
  pyrfr/regression_wrap.cpp:3051:25: warning: ‘swig_module’ defined but not used [-Wunused-variable]
   static swig_module_info swig_module = {swig_types, 40, 0, 0, 0, 0};
                           ^
  error: command 'gcc' failed with exit status 1

  ----------------------------------------
  Failed building wheel for pyrfr
  Running setup.py clean for pyrfr
Failed to build auto-sklearn pyrfr
Installing collected packages: pyrfr, auto-sklearn
  Running setup.py install for pyrfr ... error
    Complete output from command /home/matthieu/Softwares/anaconda3/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-3ky03izd/pyrfr/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-_af8ke37-record/install-record.txt --single-version-externally-managed --compile:
    running install
    running build_ext
    building '_regression' extension
    swigging pyrfr/regression.i to pyrfr/regression_wrap.cpp
    swig -python -c++ -I${CMAKE_SOURCE_DIR}/include -I./include -o pyrfr/regression_wrap.cpp pyrfr/regression.i
    creating build
    creating build/temp.linux-x86_64-3.6
    creating build/temp.linux-x86_64-3.6/pyrfr
    gcc -pthread -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I${CMAKE_SOURCE_DIR}/include -I./include -I/home/matthieu/Softwares/anaconda3/include/python3.6m -c pyrfr/regression_wrap.cpp -o build/temp.linux-x86_64-3.6/pyrfr/regression_wrap.o -O2 -std=c++11
    cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ [enabled by default]
    In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6:0,
                     from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                     from pyrfr/regression_wrap.cpp:173:
    /home/matthieu/Softwares/anaconda3/include/inttypes.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
     #error "Use this header only with Microsoft Visual C++ compilers!"
      ^
    In file included from /home/matthieu/Softwares/anaconda3/include/inttypes.h:48:0,
                     from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6,
                     from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                     from pyrfr/regression_wrap.cpp:173:
    /home/matthieu/Softwares/anaconda3/include/stdint.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
     #error "Use this header only with Microsoft Visual C++ compilers!"
      ^
    In file included from /home/matthieu/Softwares/anaconda3/lib/gcc/x86_64-unknown-linux-gnu/4.8.5/include/stdint.h:9:0,
                     from /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:41,
                     from /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/char_traits.h:376,
                     from /home/matthieu/Softwares/anaconda3/gcc/include/c++/string:40,
                     from /home/matthieu/Softwares/anaconda3/gcc/include/c++/stdexcept:39,
                     from pyrfr/regression_wrap.cpp:3083:
    /home/matthieu/Softwares/anaconda3/include/stdint.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
     #error "Use this header only with Microsoft Visual C++ compilers!"
      ^
    In file included from ./include/cereal/external/rapidjson/rapidjson.h:168:0,
                     from ./include/cereal/external/rapidjson/stream.h:15,
                     from ./include/cereal/external/rapidjson/writer.h:18,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    /home/matthieu/Softwares/anaconda3/include/inttypes.h:38:2: error: #error "Use this header only with Microsoft Visual C++ compilers!"
     #error "Use this header only with Microsoft Visual C++ compilers!"
      ^
    In file included from /home/matthieu/Softwares/anaconda3/include/inttypes.h:48:0,
                     from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6,
                     from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                     from pyrfr/regression_wrap.cpp:173:
    /home/matthieu/Softwares/anaconda3/include/stdint.h:135:30: error: expected initializer before ‘int64_t’
     typedef signed __int64       int64_t;
                                  ^
    /home/matthieu/Softwares/anaconda3/include/stdint.h:136:30: error: expected initializer before ‘uint64_t’
     typedef unsigned __int64     uint64_t;
                                  ^
    /home/matthieu/Softwares/anaconda3/include/stdint.h:147:9: error: ‘uint64_t’ does not name a type
     typedef uint64_t  uint_least64_t;
             ^
    /home/matthieu/Softwares/anaconda3/include/stdint.h:157:9: error: ‘uint64_t’ does not name a type
     typedef uint64_t  uint_fast64_t;
             ^
    /home/matthieu/Softwares/anaconda3/include/stdint.h:164:30: error: conflicting declaration ‘typedef int intptr_t’
        typedef _W64 signed int   intptr_t;
                                  ^
    In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:36:0,
                     from pyrfr/regression_wrap.cpp:173:
    /usr/include/unistd.h:270:20: error: ‘intptr_t’ has a previous declaration as ‘typedef __intptr_t intptr_t’
     typedef __intptr_t intptr_t;
                        ^
    In file included from /home/matthieu/Softwares/anaconda3/include/inttypes.h:48:0,
                     from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6,
                     from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                     from pyrfr/regression_wrap.cpp:173:
    /home/matthieu/Softwares/anaconda3/include/stdint.h:170:9: error: ‘uint64_t’ does not name a type
     typedef uint64_t  uintmax_t;
             ^
    In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/pyport.h:6:0,
                     from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:50,
                     from pyrfr/regression_wrap.cpp:173:
    /home/matthieu/Softwares/anaconda3/include/inttypes.h:288:1: error: ‘_inline’ does not name a type
     _inline
     ^
    In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:71:0,
                     from pyrfr/regression_wrap.cpp:173:
    /home/matthieu/Softwares/anaconda3/include/python3.6m/pyhash.h:64:9: error: ‘uint64_t’ does not name a type
             uint64_t k0;
             ^
    /home/matthieu/Softwares/anaconda3/include/python3.6m/pyhash.h:65:9: error: ‘uint64_t’ does not name a type
             uint64_t k1;
             ^
    In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:79:0,
                     from pyrfr/regression_wrap.cpp:173:
    /home/matthieu/Softwares/anaconda3/include/python3.6m/longintrepr.h:47:9: error: ‘uint64_t’ does not name a type
     typedef uint64_t twodigits;
             ^
    In file included from /home/matthieu/Softwares/anaconda3/include/python3.6m/Python.h:87:0,
                     from pyrfr/regression_wrap.cpp:173:
    /home/matthieu/Softwares/anaconda3/include/python3.6m/dictobject.h:31:5: error: ‘uint64_t’ does not name a type
         uint64_t ma_version_tag;
         ^
    In file included from /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/char_traits.h:376:0,
                     from /home/matthieu/Softwares/anaconda3/gcc/include/c++/string:40,
                     from /home/matthieu/Softwares/anaconda3/gcc/include/c++/stdexcept:39,
                     from pyrfr/regression_wrap.cpp:3083:
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:69:11: error: ‘::uint64_t’ has not been declared
       using ::uint64_t;
               ^
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:74:11: error: ‘::uint_fast64_t’ has not been declared
       using ::uint_fast64_t;
               ^
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:79:11: error: ‘::uint_least64_t’ has not been declared
       using ::uint_least64_t;
               ^
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/cstdint:81:11: error: ‘::uintmax_t’ has not been declared
       using ::uintmax_t;
               ^
    In file included from /home/matthieu/Softwares/anaconda3/gcc/include/c++/random:50:0,
                     from pyrfr/regression_wrap.cpp:3156:
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1549:5: error: ‘uint_fast64_t’ was not declared in this scope
         uint_fast64_t,
         ^
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: error: template argument 1 is invalid
         6364136223846793005ULL> mt19937_64;
                               ^
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:27: note: invalid template non-type parameter
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1555:39: error: invalid type in declaration before ‘;’ token
         6364136223846793005ULL> mt19937_64;
                                           ^
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1560:38: error: ‘uint_fast64_t’ was not declared in this scope
       typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12>
                                          ^
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1560:62: error: template argument 1 is invalid
       typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12>
                                                                  ^
    /home/matthieu/Softwares/anaconda3/gcc/include/c++/bits/random.h:1561:18: error: invalid type in declaration before ‘;’ token
         ranlux48_base;
                      ^
    In file included from ./include/cereal/access.hpp:38:0,
                     from ./include/cereal/details/traits.hpp:43,
                     from ./include/cereal/cereal.hpp:43,
                     from ./include/rfr/splits/binary_split_one_feature_rss_loss.hpp:14,
                     from pyrfr/regression_wrap.cpp:3160:
    ./include/cereal/details/helpers.hpp:59:21: error: expected type-specifier before ‘uint64_t’
       using size_type = uint64_t;
                         ^
    ./include/cereal/details/helpers.hpp:215:25: error: ‘uint64_t’ has not been declared
         BinaryData( T && d, uint64_t s ) : data(std::forward<T>(d)), size(s) {}
                             ^
    ./include/cereal/details/helpers.hpp:218:5: error: ‘uint64_t’ does not name a type
         uint64_t size; //!< size in bytes
         ^
    ./include/cereal/details/helpers.hpp: In constructor ‘cereal::BinaryData<T>::BinaryData(T&&, int)’:
    ./include/cereal/details/helpers.hpp:215:66: error: class ‘cereal::BinaryData<T>’ does not have any field named ‘size’
         BinaryData( T && d, uint64_t s ) : data(std::forward<T>(d)), size(s) {}
                                                                      ^
    In file included from ./include/rfr/splits/binary_split_one_feature_rss_loss.hpp:14:0,
                     from pyrfr/regression_wrap.cpp:3160:
    ./include/cereal/cereal.hpp: At global scope:
    ./include/cereal/cereal.hpp:564:26: error: ‘size_type’ was not declared in this scope
           std::unordered_set<size_type> itsVersionedTypes;
                              ^
    ./include/cereal/cereal.hpp:564:35: error: template argument 1 is invalid
           std::unordered_set<size_type> itsVersionedTypes;
                                       ^
    ./include/cereal/cereal.hpp:564:35: error: template argument 2 is invalid
    ./include/cereal/cereal.hpp:564:35: error: template argument 3 is invalid
    ./include/cereal/cereal.hpp:564:35: error: template argument 4 is invalid
    ./include/cereal/cereal.hpp: In member function ‘uint32_t cereal::OutputArchive<ArchiveType, Flags>::registerClassVersion()’:
    ./include/cereal/cereal.hpp:478:53: error: request for member ‘insert’ in ‘((cereal::OutputArchive<ArchiveType, Flags>*)this)->cereal::OutputArchive<ArchiveType, Flags>::itsVersionedTypes’, which is of non-class type ‘int’
             const auto insertResult = itsVersionedTypes.insert( hash );
                                                         ^
    In file included from ./include/cereal/types/bitset.hpp:34:0,
                     from ./include/rfr/splits/binary_split_one_feature_rss_loss.hpp:15,
                     from pyrfr/regression_wrap.cpp:3160:
    ./include/cereal/types/string.hpp: In function ‘typename std::enable_if<cereal::traits::is_output_serializable<cereal::BinaryData<T>, Archive>::value, void>::type cereal::save(Archive&, const std::basic_string<CharT, Traits, Alloc>&)’:
    ./include/cereal/types/string.hpp:44:36: error: expected type-specifier before ‘size_type’
         ar( make_size_tag( static_cast<size_type>(str.size()) ) );
                                        ^
    ./include/cereal/types/string.hpp:44:36: error: expected ‘>’ before ‘size_type’
    ./include/cereal/types/string.hpp:44:36: error: expected ‘(’ before ‘size_type’
    ./include/cereal/types/string.hpp:44:36: error: ‘size_type’ was not declared in this scope
    ./include/cereal/types/string.hpp: In function ‘typename std::enable_if<cereal::traits::is_input_serializable<cereal::BinaryData<T>, Archive>::value, void>::type cereal::load(Archive&, std::basic_string<CharT, Traits, Alloc>&)’:
    ./include/cereal/types/string.hpp:53:5: error: ‘size_type’ was not declared in this scope
         size_type size;
         ^
    ./include/cereal/types/string.hpp:53:15: error: expected ‘;’ before ‘size’
         size_type size;
                   ^
    ./include/cereal/types/string.hpp:54:24: error: ‘size’ was not declared in this scope
         ar( make_size_tag( size ) );
                            ^
    In file included from ./include/rfr/util.hpp:11:0,
                     from ./include/rfr/splits/binary_split_one_feature_rss_loss.hpp:16,
                     from pyrfr/regression_wrap.cpp:3160:
    ./include/cereal/types/vector.hpp: In function ‘typename std::enable_if<((cereal::traits::is_output_serializable<cereal::BinaryData<T>, Archive>::value && std::is_arithmetic<T>::value) && (! std::is_same<T, bool>::value)), void>::type cereal::save(Archive&, const std::vector<T, A>&)’:
    ./include/cereal/types/vector.hpp:44:36: error: expected type-specifier before ‘size_type’
         ar( make_size_tag( static_cast<size_type>(vector.size()) ) ); // number of elements
                                        ^
    ./include/cereal/types/vector.hpp:44:36: error: expected ‘>’ before ‘size_type’
    ./include/cereal/types/vector.hpp:44:36: error: expected ‘(’ before ‘size_type’
    ./include/cereal/types/vector.hpp:44:36: error: ‘size_type’ was not declared in this scope
    ./include/cereal/types/vector.hpp: In function ‘typename std::enable_if<((cereal::traits::is_input_serializable<cereal::BinaryData<T>, Archive>::value && std::is_arithmetic<T>::value) && (! std::is_same<T, bool>::value)), void>::type cereal::load(Archive&, std::vector<T, A>&)’:
    ./include/cereal/types/vector.hpp:54:5: error: ‘size_type’ was not declared in this scope
         size_type vectorSize;
         ^
    ./include/cereal/types/vector.hpp:54:15: error: expected ‘;’ before ‘vectorSize’
         size_type vectorSize;
                   ^
    ./include/cereal/types/vector.hpp:55:24: error: ‘vectorSize’ was not declared in this scope
         ar( make_size_tag( vectorSize ) );
                            ^
    ./include/cereal/types/vector.hpp: In function ‘typename std::enable_if<((! cereal::traits::is_output_serializable<cereal::BinaryData<T>, Archive>::value) || (! std::is_arithmetic<T>::value)), void>::type cereal::save(Archive&, const std::vector<T, A>&)’:
    ./include/cereal/types/vector.hpp:67:36: error: expected type-specifier before ‘size_type’
         ar( make_size_tag( static_cast<size_type>(vector.size()) ) ); // number of elements
                                        ^
    ./include/cereal/types/vector.hpp:67:36: error: expected ‘>’ before ‘size_type’
    ./include/cereal/types/vector.hpp:67:36: error: expected ‘(’ before ‘size_type’
    ./include/cereal/types/vector.hpp:67:36: error: ‘size_type’ was not declared in this scope
    ./include/cereal/types/vector.hpp: In function ‘typename std::enable_if<((! cereal::traits::is_input_serializable<cereal::BinaryData<T>, Archive>::value) || (! std::is_arithmetic<T>::value)), void>::type cereal::load(Archive&, std::vector<T, A>&)’:
    ./include/cereal/types/vector.hpp:78:5: error: ‘size_type’ was not declared in this scope
         size_type size;
         ^
    ./include/cereal/types/vector.hpp:78:15: error: expected ‘;’ before ‘size’
         size_type size;
                   ^
    ./include/cereal/types/vector.hpp:79:24: error: ‘size’ was not declared in this scope
         ar( make_size_tag( size ) );
                            ^
    ./include/cereal/types/vector.hpp: In function ‘void cereal::save(Archive&, const std::vector<bool, A>&)’:
    ./include/cereal/types/vector.hpp:90:36: error: expected type-specifier before ‘size_type’
         ar( make_size_tag( static_cast<size_type>(vector.size()) ) ); // number of elements
                                        ^
    ./include/cereal/types/vector.hpp:90:36: error: expected ‘>’ before ‘size_type’
    ./include/cereal/types/vector.hpp:90:36: error: expected ‘(’ before ‘size_type’
    ./include/cereal/types/vector.hpp:90:36: error: ‘size_type’ was not declared in this scope
    ./include/cereal/types/vector.hpp: In function ‘void cereal::load(Archive&, std::vector<bool, A>&)’:
    ./include/cereal/types/vector.hpp:99:5: error: ‘size_type’ was not declared in this scope
         size_type size;
         ^
    ./include/cereal/types/vector.hpp:99:15: error: expected ‘;’ before ‘size’
         size_type size;
                   ^
    ./include/cereal/types/vector.hpp:100:24: error: ‘size’ was not declared in this scope
         ar( make_size_tag( size ) );
                            ^
    In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                     from ./include/cereal/external/rapidjson/writer.h:18,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/../allocators.h: In member function ‘void* rapidjson::MemoryPoolAllocator<BaseAllocator>::Malloc(std::size_t)’:
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             size = CEREAL_RAPIDJSON_ALIGN(size);
                    ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             size = CEREAL_RAPIDJSON_ALIGN(size);
                    ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             size = CEREAL_RAPIDJSON_ALIGN(size);
                    ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: ‘uint64_t’ was not declared in this scope
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             size = CEREAL_RAPIDJSON_ALIGN(size);
                    ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             size = CEREAL_RAPIDJSON_ALIGN(size);
                    ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             size = CEREAL_RAPIDJSON_ALIGN(size);
                    ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:180:16: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             size = CEREAL_RAPIDJSON_ALIGN(size);
                    ^
    In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                     from ./include/cereal/external/rapidjson/writer.h:19,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/../allocators.h:180:44: error: expected ‘)’ before ‘;’ token
             size = CEREAL_RAPIDJSON_ALIGN(size);
                                                ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:180:44: error: expected ‘)’ before ‘;’ token
    In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                     from ./include/cereal/external/rapidjson/writer.h:18,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                   ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                   ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                   ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                   ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                   ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:185:63: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                   ^
    In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                     from ./include/cereal/external/rapidjson/writer.h:19,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/../allocators.h:185:125: error: expected ‘)’ before ‘;’ token
             void *buffer = reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size;
                                                                                                                                 ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:185:125: error: expected ‘)’ before ‘;’ token
    In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                     from ./include/cereal/external/rapidjson/writer.h:18,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/../allocators.h: In member function ‘void* rapidjson::MemoryPoolAllocator<BaseAllocator>::Realloc(void*, std::size_t, std::size_t)’:
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: ‘uint64_t’ was not declared in this scope
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:198:24: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                            ^
    In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                     from ./include/cereal/external/rapidjson/writer.h:19,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/../allocators.h:198:60: error: expected ‘)’ before ‘;’ token
             originalSize = CEREAL_RAPIDJSON_ALIGN(originalSize);
                                                                ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:198:60: error: expected ‘)’ before ‘;’ token
    In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                     from ./include/cereal/external/rapidjson/writer.h:18,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:199:19: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                       ^
    In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                     from ./include/cereal/external/rapidjson/writer.h:19,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/../allocators.h:199:50: error: expected ‘)’ before ‘;’ token
             newSize = CEREAL_RAPIDJSON_ALIGN(newSize);
                                                      ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:199:50: error: expected ‘)’ before ‘;’ token
    In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                     from ./include/cereal/external/rapidjson/writer.h:18,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                       ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:206:67: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                       ^
    In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                     from ./include/cereal/external/rapidjson/writer.h:19,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/../allocators.h:206:146: error: expected ‘)’ before ‘{’ token
             if (originalPtr == reinterpret_cast<char *>(chunkHead_) + CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + chunkHead_->size - originalSize) {
                                                                                                                                                      ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:222:5: error: expected ‘)’ at end of input
         }
         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:222:5: error: expected statement at end of input
    ./include/cereal/external/rapidjson/internal/../allocators.h:222:5: error: expected ‘}’ at end of input
    In file included from ./include/cereal/external/rapidjson/stream.h:15:0,
                     from ./include/cereal/external/rapidjson/writer.h:18,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/../allocators.h: In member function ‘bool rapidjson::MemoryPoolAllocator<BaseAllocator>::AddChunk(std::size_t)’:
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:55: error: ‘uint64_t’ was not declared in this scope
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                           ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected type-specifier before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘>’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                            ^
    ./include/cereal/external/rapidjson/rapidjson.h:273:85: error: expected ‘(’ before ‘uint64_t’
     #define CEREAL_RAPIDJSON_ALIGN(x) (((x) + static_cast<uint64_t>(7u)) & ~static_cast<uint64_t>(7u))
                                                                                         ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:240:88: note: in expansion of macro ‘CEREAL_RAPIDJSON_ALIGN’
             if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                            ^
    In file included from ./include/cereal/external/rapidjson/internal/stack.h:18:0,
                     from ./include/cereal/external/rapidjson/writer.h:19,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/../allocators.h:240:146: error: expected ‘)’ before ‘{’ token
             if (ChunkHeader* chunk = reinterpret_cast<ChunkHeader*>(baseAllocator_->Malloc(CEREAL_RAPIDJSON_ALIGN(sizeof(ChunkHeader)) + capacity))) {
                                                                                                                                                      ^
    ./include/cereal/external/rapidjson/internal/../allocators.h:240:146: error: expected ‘)’ before ‘{’ token
    ./include/cereal/external/rapidjson/internal/../allocators.h:249:5: warning: no return statement in function returning non-void [-Wreturn-type]
         }
         ^
    In file included from ./include/cereal/external/rapidjson/internal/dtoa.h:22:0,
                     from ./include/cereal/external/rapidjson/writer.h:21,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/itoa.h: At global scope:
    ./include/cereal/external/rapidjson/internal/itoa.h:123:21: error: ‘rapidjson::internal::u64toa’ declared as an ‘inline’ variable
     inline char* u64toa(uint64_t value, char* buffer) {
                         ^
    ./include/cereal/external/rapidjson/internal/itoa.h:123:21: error: ‘uint64_t’ was not declared in this scope
    ./include/cereal/external/rapidjson/internal/itoa.h:123:37: error: expected primary-expression before ‘char’
     inline char* u64toa(uint64_t value, char* buffer) {
                                         ^
    ./include/cereal/external/rapidjson/internal/itoa.h:123:49: error: expression list treated as compound expression in initializer [-fpermissive]
     inline char* u64toa(uint64_t value, char* buffer) {
                                                     ^
    ./include/cereal/external/rapidjson/internal/itoa.h:123:51: error: expected ‘,’ or ‘;’ before ‘{’ token
     inline char* u64toa(uint64_t value, char* buffer) {
                                                       ^
    In file included from ./include/cereal/external/rapidjson/internal/dtoa.h:23:0,
                     from ./include/cereal/external/rapidjson/writer.h:21,
                     from ./include/cereal/external/rapidjson/prettywriter.h:18,
                     from ./include/cereal/archives/json.hpp:53,
                     from ./include/rfr/forests/regression_forest.hpp:21,
                     from ./include/rfr/trees/k_ary_tree.hpp:26,
                     from pyrfr/regression_wrap.cpp:3161:
    ./include/cereal/external/rapidjson/internal/diyfp.h:34:20: error: expected ‘}’ before end of line
     CEREAL_RAPIDJSON_DIAG_PUSH
                        ^
    ./include/cereal/external/rapidjson/internal/diyfp.h:34:20: error: expected ‘}’ before end of line
    ./include/cereal/external/rapidjson/internal/diyfp.h:34:20: error: expected declaration before end of line
    pyrfr/regression_wrap.cpp:3051:25: warning: ‘swig_module’ defined but not used [-Wunused-variable]
     static swig_module_info swig_module = {swig_types, 40, 0, 0, 0, 0};
                             ^
    error: command 'gcc' failed with exit status 1

    ----------------------------------------
Command "/home/matthieu/Softwares/anaconda3/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-3ky03izd/pyrfr/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-_af8ke37-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-3ky03izd/pyrfr/

Could anyone has a solution to this problem ?

Best regards, Matthieu

radu-nedelcu-de commented 7 years ago

do you have swig installed? if not, and you're on a debian based distribution, run: sudo apt-get install swig

mattvan83 commented 7 years ago

Hi ran,

Yes I have swig installed but it's still not working.

Failed building wheel for pyrfr Command "/home/matthieu/Softwares/anaconda3/bin/python -u -c "import setuptools, tokenize;file='/tmp/pip-build-eyebar3q/pyrfr/setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record /tmp/pip-uqpveh2_-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-eyebar3q/pyrfr/ Failed building wheel for pyrfr Command "/home/matthieu/Softwares/anaconda3/bin/python -u -c "import setuptools, tokenize;file='/tmp/pip-build-7p_ikn7d/pyrfr/setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record /tmp/pip-us87z7vj-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-7p_ikn7d/pyrfr/

2017-08-30 14:42 GMT+02:00 ran notifications@github.com:

do you have swig installed? if not, and you're on a debian based distribution, run: sudo apt-get install swig

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/automl/auto-sklearn/issues/347#issuecomment-325978125, or mute the thread https://github.com/notifications/unsubscribe-auth/AEapKW5o-qjzszE5QGav-E47dBjo0EXdks5sdVingaJpZM4PDxs8 .

NazBen commented 7 years ago

Hello,

Same error here.

radu-nedelcu-de commented 7 years ago

Do you know how to use Docker? I could post the details of a dockerfile which would get you up and running quickly?

On 4 Sep 2017 18:21, Nazih Benoumechiara notifications@github.com wrote:

Hello,

Same error here.

— You are receiving this because you commented. Reply to this email directly, view it on GitHubhttps://github.com/automl/auto-sklearn/issues/347#issuecomment-327005057, or mute the threadhttps://github.com/notifications/unsubscribe-auth/AQZdFqhndHESzb6_rMuW5gNG2Pz2ytcJks5sfDGlgaJpZM4PDxs8.

mattvan83 commented 7 years ago

No, I am not familiar with Docker but I could try it ??

2017-09-05 5:11 GMT+00:00 ran notifications@github.com:

Do you know how to use Docker? I could post the details of a dockerfile which would get you up and running quickly?

On 4 Sep 2017 18:21, Nazih Benoumechiara notifications@github.com wrote:

Hello,

Same error here.

— You are receiving this because you commented. Reply to this email directly, view it on GitHubhttps://github.com/ automl/auto-sklearn/issues/347#issuecomment-327005057, or mute the threadhttps://github.com/notifications/unsubscribe-auth/AQZdFqhndHESzb6_ rMuW5gNG2Pz2ytcJks5sfDGlgaJpZM4PDxs8.

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/automl/auto-sklearn/issues/347#issuecomment-327072854, or mute the thread https://github.com/notifications/unsubscribe-auth/AEapKXNDrf7moQW8ym7bwDFF1sW8Lm7bks5sfNgSgaJpZM4PDxs8 .

NazBen commented 7 years ago

Hello,

My error was corrected in #335. I installed gcc 5.4 and reinstall the library. It works well now.

Thanks.

mfeurer commented 7 years ago

Please excuse the slow response. We have updated the auto-sklearn on pypi to work with the latest version of the pyrfr package which should solve the current installation issues. If you still encouter this issue with the latest version please post how you installed auto-sklearn, providing information on:

and the error log of the installation. Note however that we are currently experiencing some problems with the latest AnaConda version, while AnaConda 4.3.21 works.