Merge branch 'main' into add-version-bumping-script

.github/workflows/e2e.yml

@@ -51,6 +51,55 @@ jobs:
       short_sha: ${{ steps.upload.outputs.SHORT_SHA }}
       dir: ${{ steps.upload.outputs.DIR }}
 
+  superexec:
+    runs-on: ubuntu-22.04
+    timeout-minutes: 10
+    needs: wheel
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.9", "3.10", "3.11"]
+        directory: [e2e-bare-auth]
+        connection: [secure, insecure]
+        engine: [deployment-engine, simulation-engine]
+        authentication: [no-auth, client-auth]
+        exclude:
+          - connection: insecure
+            authentication: client-auth
+    name: |
+      SuperExec / 
+      Python ${{ matrix.python-version }} /
+      ${{ matrix.connection }} / 
+      ${{ matrix.authentication }} / 
+      ${{ matrix.engine }} 
+    defaults:
+      run:
+        working-directory: e2e/${{ matrix.directory }}
+    steps:
+      - uses: actions/checkout@v4
+      - name: Bootstrap
+        uses: ./.github/actions/bootstrap
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-skip: 'true'
+      - name: Download and install Flower wheel from artifact store
+        if: ${{ github.repository == 'adap/flower' && !github.event.pull_request.head.repo.fork && github.actor != 'dependabot[bot]' }}
+        run: |
+          # Define base URL for wheel file
+          WHEEL_URL="https://${{ env.ARTIFACT_BUCKET }}/py/${{ needs.wheel.outputs.dir }}/${{ needs.wheel.outputs.short_sha }}/${{ needs.wheel.outputs.whl_path }}"
+          if [[ "${{ matrix.engine }}" == "simulation-engine" ]]; then
+            python -m pip install "flwr[simulation] @ ${WHEEL_URL}"
+          else
+            python -m pip install "${WHEEL_URL}"
+          fi
+      - name: >
+          Run SuperExec test / 
+          ${{ matrix.connection }} / 
+          ${{ matrix.authentication }} / 
+          ${{ matrix.engine }} 
+        working-directory: e2e/${{ matrix.directory }}
+        run: ./../test_superexec.sh "${{ matrix.connection }}" "${{ matrix.authentication}}" "${{ matrix.engine }}"
+
   frameworks:
     runs-on: ubuntu-22.04
     timeout-minutes: 10

README.md

@@ -18,6 +18,7 @@
 [![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/adap/flower/blob/main/CONTRIBUTING.md)
 ![Build](https://github.com/adap/flower/actions/workflows/framework.yml/badge.svg)
 [![Downloads](https://static.pepy.tech/badge/flwr)](https://pepy.tech/project/flwr)
+[![Docker Hub](https://img.shields.io/badge/Docker%20Hub-flwr-blue)](https://hub.docker.com/u/flwr)
 [![Slack](https://img.shields.io/badge/Chat-Slack-red)](https://flower.ai/join-slack)
 
 Flower (`flwr`) is a framework for building federated learning systems. The

datasets/doc/source/index.rst

@@ -3,6 +3,15 @@ Flower Datasets
 
 Flower Datasets (``flwr-datasets``) is a library that enables the quick and easy creation of datasets for federated learning/analytics/evaluation. It enables heterogeneity (non-iidness) simulation and division of datasets with the preexisting notion of IDs. The library was created by the ``Flower Labs`` team that also created `Flower <https://flower.ai>`_ : A Friendly Federated Learning Framework.
 
+.. raw:: html
+
+  <script
+    type="module"
+    src="https://gradio.s3-us-west-2.amazonaws.com/4.44.0/gradio.js"
+  ></script>
+
+  <gradio-app src="https://flwrlabs-federated-learning-datasets-by-flwr-datasets.hf.space"></gradio-app>
+
 Flower Datasets Framework
 -------------------------
 

dev/format.sh

@@ -36,3 +36,6 @@ python -m nbstripout examples/*/*.ipynb --extra-keys "$KEYS"
 
 # Markdown
 python -m mdformat --number doc/source examples
+
+# RST
+docstrfmt doc/source

dev/test.sh

@@ -56,6 +56,14 @@ echo "- mdformat: done"
 
 echo "- All Markdown checks passed"
 
+echo "- Start rST checks"
+
+echo "- docstrfmt: start"
+docstrfmt --check doc/source
+echo "- docstrfmt: done"
+
+echo "- All rST checks passed"
+
 echo "- Start license checks"
 
 echo "- copyright: start"