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Sebastian Schmidl
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Adapt and build intermediate images (#22)
* refactor: split up base images and intermediate images; rename folders * feat: prepare image publishing and adapt docker images * feat: adapt intermediate images
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‎1-intermediate-images/pyod/Dockerfile

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FROM ghcr.io/timeeval/python3-base:0.3.0
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LABEL maintainer="[email protected]"
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# install pyod library and cleanup afterwards
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RUN set -eux; \
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pip install --no-cache-dir pyod==0.9.2; \
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find /usr/local -depth \
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\( \
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\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) \
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-o \
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\( -type f -a \( -name '*.pyc' -o -name '*.pyo' \) \) \
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\) -exec rm -rf '{}' +; \
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rm -rf /tmp/* /var/tmp/* ~/.cache/pip

‎1-intermediate-images/pyod/LICENSE

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MIT License
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Copyright (c) 2020-2023 Phillip Wenig and Sebastian Schmidl
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎1-intermediate-images/pyod/version.txt

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0.3.0

‎1-intermediate-images/python3-torch/Dockerfile

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FROM ghcr.io/timeeval/python3-base:0.3.0
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LABEL maintainer="[email protected]"
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RUN pip install --no-cache-dir torch==1.7.1

‎1-intermediate-images/python3-torch/LICENSE

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MIT License
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Copyright (c) 2020-2023 Phillip Wenig and Sebastian Schmidl
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎1-intermediate-images/python3-torch/version.txt

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0.3.0

‎1-intermediate-images/timeeval-test-algorithm/Dockerfile

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FROM ghcr.io/timeeval/python3-base:0.3.0
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LABEL maintainer="[email protected]"
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ENV ALGORITHM_MAIN=/app/algorithm.py
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COPY manifest.json /app/
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COPY algorithm.py /app/

‎1-intermediate-images/timeeval-test-algorithm/LICENSE

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MIT License
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Copyright (c) 2020-2023 Phillip Wenig and Sebastian Schmidl
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎1-intermediate-images/timeeval-test-algorithm/algorithm.py

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import numpy as np
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import pandas as pd
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import json
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import time
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import argparse
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import sys
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class AlgorithmArgs(argparse.Namespace):
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@property
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def ts(self) -> np.ndarray:
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dataset = pd.read_csv(self.dataInput)
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return dataset.values[:, 1:-1]
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@staticmethod
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def from_sys_args() -> 'AlgorithmArgs':
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args = json.loads(sys.argv[1])
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return AlgorithmArgs(**args)
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def main():
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args = AlgorithmArgs.from_sys_args()
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will_raise = args.customParameters.get("raise", False)
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sleep_seconds = args.customParameters.get("sleep", 10)
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write_preliminary_results = args.customParameters.get("write_prelim_results", False)
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results = np.zeros(args.ts.shape[0])
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if write_preliminary_results:
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results.tofile(args.dataOutput, sep="\n")
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if will_raise:
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raise Exception("from within")
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time.sleep(sleep_seconds)
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results.tofile(args.dataOutput, sep="\n")
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if __name__ == "__main__":
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main()

‎1-intermediate-images/timeeval-test-algorithm/manifest.json

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{
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"title": "timeeval-test-algorithm",
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"description": "Test algorithm image for TimeEval.",
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"inputDimensionality": "multivariate",
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"version": "0.3.0",
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"authors": "Sebastian Schmidl, Phillip Wenig",
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"language": "Python",
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"type": "Detector",
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"mainFile": "algorithm.py",
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"learningType": "unsupervised",
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"executionStep": {
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"parameters": [
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{
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"name": "raise",
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"type": "bool",
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"defaultValue": false,
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"optional": "true",
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"description": "Force the algorithm to raise an exception and return a non-zero exit-code."
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},
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{
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"name": "sleep",
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"type": "int",
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"defaultValue": 10,
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"optional": "true",
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"description": "Controls the duration of the algorithm 'processing' via sleeping for a certain amount of time before writing the results."
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},
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{
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"name": "write_prelim_results",
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"type": "bool",
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"defaultValue": false,
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"optional": "true",
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"description": "If the algorithm should write some results before raising an exception or sleeping."
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}
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],
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"modelInput": "none"
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}
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}

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