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BaunsgaardBaunsgaard
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[MINOR] Python set log4j
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Lines changed: 165 additions & 1 deletion

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‎.github/workflows/python.yml‎

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export SYSTEMDS_ROOT=$(pwd)
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export PATH=$SYSTEMDS_ROOT/bin:$PATH
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export SYSDS_QUIET=1
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export LOG4JPROP=$SYSTEMDS_ROOT/src/test/resources/log4j.properties
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cd src/main/python
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unittest-parallel -t . -s tests
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# python -m unittest discover -s tests -p 'test_*.py'
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echo "Exit Status: " $?
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- name: Run all python tests no environment
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run: |
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export LOG4JPROP=$(pwd)/src/test/resources/log4j.properties
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cd src/main/python
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unittest-parallel -t . -s tests
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# python -m unittest discover -s tests -p 'test_*.py'

‎src/main/python/systemds/operator/algorithm/__init__.py‎

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from .builtin.img_posterize import img_posterize
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from .builtin.img_posterize_linearized import img_posterize_linearized
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from .builtin.img_rotate import img_rotate
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from .builtin.img_rotate_linearized import img_rotate_linearized
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from .builtin.img_sample_pairing import img_sample_pairing
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from .builtin.img_sample_pairing_linearized import img_sample_pairing_linearized
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from .builtin.img_shear import img_shear
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from .builtin.img_shear_linearized import img_shear_linearized
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from .builtin.img_transform import img_transform
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from .builtin.img_transform_linearized import img_transform_linearized
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from .builtin.img_translate import img_translate
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'img_posterize',
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'img_posterize_linearized',
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'img_rotate',
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'img_rotate_linearized',
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'img_sample_pairing',
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'img_sample_pairing_linearized',
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'img_shear',
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'img_shear_linearized',
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'img_transform',
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'img_transform_linearized',
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'img_translate',

‎src/main/python/systemds/operator/algorithm/builtin/auc.py‎

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def auc(Y: Matrix,
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P: Matrix):
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"""
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This builting function computes the area under the ROC curve (AUC)
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This builtin function computes the area under the ROC curve (AUC)
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for binary classifiers.
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‎src/main/python/systemds/operator/algorithm/builtin/img_rotate_linearized.py‎

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# -------------------------------------------------------------
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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#
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# -------------------------------------------------------------
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# Autogenerated By : src/main/python/generator/generator.py
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# Autogenerated From : scripts/builtin/img_rotate_linearized.dml
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from typing import Dict, Iterable
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from systemds.operator import OperationNode, Matrix, Frame, List, MultiReturn, Scalar
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from systemds.script_building.dag import OutputType
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from systemds.utils.consts import VALID_INPUT_TYPES
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def img_rotate_linearized(img_in: Matrix,
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radians: float,
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fill_value: float,
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s_cols: int,
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s_rows: int):
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"""
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The Linearized Image Rotate function rotates the linearized input images counter-clockwise around the center.
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Uses nearest neighbor sampling.
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:param img_in: Linearized input images as 2D matrix with top left corner at [1, 1]
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:param radians: The value by which to rotate in radian.
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:param fill_value: The background color revealed by the rotation
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:return: Output images in linearized form as 2D matrix with top left corner at [1, 1]
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"""
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params_dict = {'img_in': img_in, 'radians': radians, 'fill_value': fill_value, 's_cols': s_cols, 's_rows': s_rows}
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return Matrix(img_in.sds_context,
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'img_rotate_linearized',
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named_input_nodes=params_dict)

‎src/main/python/systemds/operator/algorithm/builtin/img_sample_pairing_linearized.py‎

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# -------------------------------------------------------------
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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#
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# -------------------------------------------------------------
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# Autogenerated By : src/main/python/generator/generator.py
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# Autogenerated From : scripts/builtin/img_sample_pairing_linearized.dml
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from typing import Dict, Iterable
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from systemds.operator import OperationNode, Matrix, Frame, List, MultiReturn, Scalar
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from systemds.script_building.dag import OutputType
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from systemds.utils.consts import VALID_INPUT_TYPES
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def img_sample_pairing_linearized(img_in1: Matrix,
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img_in2: Matrix,
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weight: float):
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"""
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The image sample pairing function blends two images together.
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:param img_in1: input matrix/image (every row is a linearized image)
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:param img_in2: Second input image (one image represented as a single row linearized matrix)
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:param weight: The weight given to the second image.
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0 means only img_in1, 1 means only img_in2 will be visible
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:return: Output image
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"""
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params_dict = {'img_in1': img_in1, 'img_in2': img_in2, 'weight': weight}
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return Matrix(img_in1.sds_context,
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'img_sample_pairing_linearized',
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named_input_nodes=params_dict)

‎src/main/python/systemds/operator/algorithm/builtin/img_shear_linearized.py‎

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# -------------------------------------------------------------
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#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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#
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# -------------------------------------------------------------
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# Autogenerated By : src/main/python/generator/generator.py
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# Autogenerated From : scripts/builtin/img_shear_linearized.dml
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from typing import Dict, Iterable
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from systemds.operator import OperationNode, Matrix, Frame, List, MultiReturn, Scalar
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from systemds.script_building.dag import OutputType
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from systemds.utils.consts import VALID_INPUT_TYPES
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def img_shear_linearized(img_in: Matrix,
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shear_x: float,
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shear_y: float,
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fill_value: float,
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s_cols: int,
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s_rows: int):
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"""
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This function applies a shearing transformation to linearized images.
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Uses nearest neighbor sampling.
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:param img_in: Linearized input images as 2D matrix with top left corner at [1, 1]
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:param shear_x: Shearing factor for horizontal shearing
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:param shear_y: Shearing factor for vertical shearing
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:param fill_value: The background color revealed by the shearing
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:return: Output images in linearized form as 2D matrix with top left corner at [1, 1]
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"""
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params_dict = {'img_in': img_in, 'shear_x': shear_x, 'shear_y': shear_y, 'fill_value': fill_value, 's_cols': s_cols, 's_rows': s_rows}
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return Matrix(img_in.sds_context,
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'img_shear_linearized',
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named_input_nodes=params_dict)

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