add setup.py, workflows, unit tests, and examples

.github/workflows/lint.yml

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+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Lint with Flake8
+
+on:
+  pull_request:
+    branches: [ develop ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.8
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.8"
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements-linters.txt 
+        pip install .
+    - name: Lint with flake8
+      run: |
+        flake8 --show-source

.github/workflows/pytest_coverage.yml

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+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Pytest and code coverage 
+
+on:
+  pull_request:
+    branches: [ develop ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.8
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.8"
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install pytest coverage
+        pip install -r requirements-test.txt
+        pip install .
+    - name: Test with pytest and report code coverage
+      run: |
+        coverage run -m pytest -rA
+        coverage report

.github/workflows/task_runner_custom_weighted_average.yml

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+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Task Runner with Median Aggregation
+
+on:
+  pull_request:
+    branches: [ develop ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    strategy:
+      matrix:
+       os: ['ubuntu-latest', 'windows-latest']
+       python-version: ['3.8','3.9','3.10','3.11']
+    runs-on: ${{ matrix.os }}
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 
+      uses: actions/setup-python@v4
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies ubuntu
+      if: matrix.os == 'ubuntu-latest'
+      run: |
+        python -m pip install --upgrade pip
+        pip install .
+    - name: Install dependencies windows
+      if: matrix.os == 'windows-latest'
+      run: |
+        python -m pip install --upgrade pip
+        pip install .
+    - name: Test Task Runner API
+      run: |
+        python -m tests.github.test_task_runner --workspace torch_cnn_mnist_custom_weighted_average --col1 col1 --col2 col2  --rounds-to-train 3

.github/workflows/task_runner_skc_compression.yml

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+# This workflow will install Python dependencies, run tests and lint with a single version of Python
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Task Runner with SKC Compression
+
+on:
+  pull_request:
+    branches: [ develop ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    strategy:
+      matrix:
+       os: ['ubuntu-latest', 'windows-latest']
+       python-version: ['3.8','3.9','3.10','3.11']
+    runs-on: ${{ matrix.os }}
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 
+      uses: actions/setup-python@v4
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies ubuntu
+      if: matrix.os == 'ubuntu-latest'
+      run: |
+        python -m pip install --upgrade pip
+        pip install .
+    - name: Install dependencies windows
+      if: matrix.os == 'windows-latest'
+      run: |
+        python -m pip install --upgrade pip
+        pip install .
+    - name: Test Task Runner API
+      run: |
+        python -m tests.github.test_task_runner --workspace torch_cnn_mnist_skc_compression --col1 col1 --col2 col2  --rounds-to-train 3

.github/workflows/ubuntu.yml

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+name: Ubuntu (latest)
+
+on:
+  schedule:
+    - cron: '0 0 * * *'
+
+permissions:
+  contents: read
+
+jobs:
+  lint: # from lint.yml
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.8
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.8"
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements-linters.txt 
+        pip install .
+    - name: Lint with flake8
+      run: |
+        flake8 --show-source
+
+  pytest-coverage: # from pytest_coverage.yml
+    needs: lint
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.8
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.8"
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install pytest coverage
+        pip install -r requirements-test.txt
+        pip install .
+    - name: Test with pytest and report code coverage
+      run: |
+        coverage run -m pytest -rA
+        coverage report

.github/workflows/windows.yml

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+name: Windows (latest)
+
+on:
+  schedule:
+    - cron: '0 0 * * *'
+
+permissions:
+  contents: read
+
+jobs:
+  pytest-coverage: # from pytest_coverage.yml
+    runs-on: windows-latest
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.8
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.8"
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install pytest coverage
+        pip install -r requirements-test.txt
+        pip install .
+    - name: Test with pytest and report code coverage
+      run: |
+        coverage run -m pytest -rA
+        coverage report

openfl_contrib/__init__.py

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+# Copyright (C) 2020-2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+"""openfl base package."""
+from .__version__ import __version__
+# flake8: noqa
+#from .interface.model import get_model

openfl_contrib/__version__.py

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+# Copyright (C) 2020-2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+"""openfl-contrib version information."""
+__version__ = '1.6'

openfl_contrib/interface/__init__.py

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+# Copyright (C) 2020-2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+"""openfl.interface package."""

openfl_contrib/interface/aggregation_functions/__init__.py

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+# Copyright (C) 2020-2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+"""Aggregation functions package."""
+
+from .custom_weighted_average import CustomWeightedAverage
+
+__all__ = [
+    'CustomWeightedAverage'
+    ]

openfl_contrib/interface/aggregation_functions/custom_weighted_average.py

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+# Copyright (C) 2020-2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+"""Custom Federated averaging module."""
+
+import numpy as np
+
+from openfl.interface.aggregation_functions.core import AggregationFunction
+
+
+class CustomWeightedAverage(AggregationFunction):
+    """Weighted average aggregation."""
+
+    def call(self, local_tensors, *_) -> np.ndarray:
+        """Aggregate tensors.
+
+        Args:
+            local_tensors(list[openfl.utilities.LocalTensor]): List of local tensors to aggregate.
+            db_iterator: iterator over history of all tensors. Columns:
+                - 'tensor_name': name of the tensor.
+                    Examples for `torch.nn.Module`s: 'conv1.weight', 'fc2.bias'.
+                - 'round': 0-based number of round corresponding to this tensor.
+                - 'tags': tuple of tensor tags. Tags that can appear:
+                    - 'model' indicates that the tensor is a model parameter.
+                    - 'trained' indicates that tensor is a part of a training result.
+                        These tensors are passed to the aggregator node after local learning.
+                    - 'aggregated' indicates that tensor is a result of aggregation.
+                        These tensors are sent to collaborators for the next round.
+                    - 'delta' indicates that value is a difference between rounds
+                        for a specific tensor.
+                    also one of the tags is a collaborator name
+                    if it corresponds to a result of a local task.
+
+                - 'nparray': value of the tensor.
+            tensor_name: name of the tensor
+            fl_round: round number
+            tags: tuple of tags for this tensor
+        Returns:
+            np.ndarray: aggregated tensor
+        """
+        tensors, weights = zip(*[(x.tensor, x.weight) for x in local_tensors])
+
+        total_weight = sum(weights)
+        weighted_sum = np.sum([tensor * weight for tensor, weight in zip(tensors, weights)], axis=0)
+        return weighted_sum / total_weight

openfl_contrib/pipelines/__init__.py

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+# Copyright (C) 2020-2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+# Copyright 2022 VMware, Inc.
+# SPDX-License-Identifier: Apache-2.0
+"""openfl.pipelines module."""
+
+from .skc_pipeline import SKCPipeline
+
+__all__ = [
+    'SKCPipeline'
+]