ci(*:skip) Add TOML linting

dev/changelog_config.toml

@@ -3,13 +3,20 @@
 
 type = ["ci", "docs", "feat", "fix", "refactor", "break"]
 
-project = ["framework", "baselines", "datasets", "examples", "benchmarks", "glossary"]
+project = [
+  "framework",
+  "baselines",
+  "datasets",
+  "examples",
+  "benchmarks",
+  "glossary",
+]
 
 scope = "skip"
 
 pattern_template = "^({types})\\(({projects})(?::({scope}))?\\) ([A-Z][^\\n]*[^\\.\\n])$"
 
-allowed_verbs=[
+allowed_verbs = [
   "Abandon",
   "Abort",
   "Abstract",
@@ -970,5 +977,5 @@ allowed_verbs=[
   "Workout",
   "Worry",
   "Wrap",
-  "Write"
+  "Write",
 ]

dev/format.sh

@@ -2,6 +2,8 @@
 set -e
 cd "$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"/../
 
+taplo fmt pyproject.toml
+
 # Python
 python -m flwr_tool.check_copyright src/py/flwr
 python -m flwr_tool.init_py_fix src/py/flwr
@@ -17,16 +19,19 @@ find src/proto/flwr/proto -name *.proto | grep "\.proto" | xargs clang-format -i
 # Examples
 python -m black -q examples
 python -m docformatter -i -r examples
+taplo fmt examples/*/pyproject.toml
 
 # Benchmarks
 python -m isort benchmarks
 python -m black -q benchmarks
 python -m docformatter -i -r benchmarks
+taplo fmt benchmarks/**/pyproject.toml
 
 # E2E
 python -m isort e2e
 python -m black -q e2e
 python -m docformatter -i -r e2e
+taplo fmt e2e/*/pyproject.toml
 
 # Notebooks
 python -m black --ipynb -q doc/source/*.ipynb
@@ -36,3 +41,6 @@ python -m nbstripout examples/*/*.ipynb --extra-keys "$KEYS"
 
 # Markdown
 python -m mdformat --number doc/source examples
+
+# Dev
+taplo fmt dev/*.toml

dev/test.sh

@@ -56,6 +56,18 @@ echo "- mdformat: done"
 
 echo "- All Markdown checks passed"
 
+echo "- Start TOML checks"
+
+echo "- taplo: start"
+taplo fmt pyproject.toml --check
+taplo fmt examples/*/pyproject.toml --check
+taplo fmt e2e/*/pyproject.toml --check
+taplo fmt dev/*.toml --check
+taplo fmt benchmarks/**/pyproject.toml --check
+echo "- taplo: done"
+
+echo "- All TOML checks passed"
+
 echo "- Start license checks"
 
 echo "- copyright: start"

e2e/docker/pyproject.toml

@@ -6,13 +6,11 @@ build-backend = "hatchling.build"
 name = "e2e-docker"
 version = "0.1.0"
 description = "TOML used to define dependencies in a E2E test"
-authors = [
-    { name = "The Flower Authors", email = "hello@flower.ai" },
-]
+authors = [{ name = "The Flower Authors", email = "hello@flower.ai" }]
 dependencies = [
-    "flwr-datasets[vision]>=0.1.0,<1.0.0",
-    "torch==2.2.1",
-    "torchvision==0.17.1",
+  "flwr-datasets[vision]>=0.1.0,<1.0.0",
+  "torch==2.2.1",
+  "torchvision==0.17.1",
 ]
 
 [tool.hatch.build.targets.wheel]

e2e/e2e-bare-auth/pyproject.toml

@@ -7,9 +7,7 @@ name = "e2e-bare-auth"
 version = "1.0.0"
 description = "Auth-enabled bare Federated Learning test with Flower"
 license = "Apache-2.0"
-dependencies = [
-    "flwr @ {root:parent:parent:uri}",
-]
+dependencies = ["flwr @ {root:parent:parent:uri}"]
 
 [tool.hatch.build.targets.wheel]
 packages = ["."]

e2e/e2e-bare-https/pyproject.toml

@@ -7,9 +7,7 @@ name = "e2e-bare-https"
 version = "1.0.0"
 description = "HTTPS-enabled bare Federated Learning test with Flower"
 license = "Apache-2.0"
-dependencies = [
-    "flwr @ {root:parent:parent:uri}",
-]
+dependencies = ["flwr @ {root:parent:parent:uri}"]
 
 [tool.hatch.build.targets.wheel]
 packages = ["."]

e2e/e2e-bare/pyproject.toml

@@ -7,9 +7,7 @@ name = "e2e-bare"
 version = "1.0.0"
 description = "Bare Federated Learning test with Flower"
 license = "Apache-2.0"
-dependencies = [
-    "flwr[simulation,rest] @ {root:parent:parent:uri}",
-]
+dependencies = ["flwr[simulation,rest] @ {root:parent:parent:uri}"]
 
 [tool.hatch.build.targets.wheel]
 packages = ["."]

e2e/e2e-fastai/pyproject.toml

@@ -8,9 +8,9 @@ version = "1.0.0"
 description = "Fastai Federated Learning E2E test with Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation] @ {root:parent:parent:uri}",
-    "fastai>=2.7.12,<3.0.0",
-    "torch>=2.0.0,!=2.0.1,<2.1.0",
+  "flwr[simulation] @ {root:parent:parent:uri}",
+  "fastai>=2.7.12,<3.0.0",
+  "torch>=2.0.0,!=2.0.1,<2.1.0",
 ]
 
 [tool.hatch.build.targets.wheel]

e2e/e2e-jax/pyproject.toml

@@ -8,11 +8,11 @@ version = "1.0.0"
 description = "JAX example training a linear regression model with federated learning"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation] @ {root:parent:parent:uri}",
-    "jax==0.4.13",
-    "jaxlib==0.4.13",
-    "scikit-learn>=1.1.1,<2.0.0",
-    "numpy>=1.21.4,<2.0.0",
+  "flwr[simulation] @ {root:parent:parent:uri}",
+  "jax==0.4.13",
+  "jaxlib==0.4.13",
+  "scikit-learn>=1.1.1,<2.0.0",
+  "numpy>=1.21.4,<2.0.0",
 ]
 
 [tool.hatch.build.targets.wheel]

e2e/e2e-opacus/pyproject.toml

@@ -8,10 +8,10 @@ version = "1.0.0"
 description = "Opacus E2E testing"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation] @ {root:parent:parent:uri}",
-    "opacus>=1.4.0,<2.0.0",
-    "torch>=1.13.1,<3.0.0",
-    "torchvision>=0.14.0,<2.0.0",
+  "flwr[simulation] @ {root:parent:parent:uri}",
+  "opacus>=1.4.0,<2.0.0",
+  "torch>=1.13.1,<3.0.0",
+  "torchvision>=0.14.0,<2.0.0",
 ]
 
 [tool.hatch.build.targets.wheel]

e2e/e2e-pandas/pyproject.toml

@@ -7,17 +7,13 @@ name = "e2e-pandas"
 version = "1.0.0"
 description = "Pandas E2E test with Flower"
 license = "Apache-2.0"
-authors = [
-    { name = "Ragy Haddad", email = "ragy202@gmail.com" },
-]
-maintainers = [
-    { name = "The Flower Authors", email = "hello@flower.ai" },
-]
+authors = [{ name = "Ragy Haddad", email = "ragy202@gmail.com" }]
+maintainers = [{ name = "The Flower Authors", email = "hello@flower.ai" }]
 dependencies = [
-    "flwr[simulation] @ {root:parent:parent:uri}",
-    "numpy>=1.21.0,<2.0.0",
-    "pandas>=2.0.0,<3.0.0",
-    "scikit-learn>=1.1.1,<2.0.0",
+  "flwr[simulation] @ {root:parent:parent:uri}",
+  "numpy>=1.21.0,<2.0.0",
+  "pandas>=2.0.0,<3.0.0",
+  "scikit-learn>=1.1.1,<2.0.0",
 ]
 
 [tool.hatch.build.targets.wheel]

e2e/e2e-pytorch-lightning/pyproject.toml

@@ -8,9 +8,9 @@ version = "1.0.0"
 description = "Federated Learning E2E test with Flower and PyTorch Lightning"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation] @ {root:parent:parent:uri}",
-    "pytorch-lightning==2.2.4",
-    "torchvision==0.14.1",
+  "flwr[simulation] @ {root:parent:parent:uri}",
+  "pytorch-lightning==2.2.4",
+  "torchvision==0.14.1",
 ]
 
 [tool.hatch.build.targets.wheel]

e2e/e2e-pytorch/pyproject.toml

@@ -8,10 +8,10 @@ version = "1.0.0"
 description = "PyTorch Federated Learning E2E test with Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation] @ {root:parent:parent:uri}",
-    "torch>=1.12.0,<2.0.0",
-    "torchvision>=0.14.1,<0.15.0",
-    "tqdm>=4.63.0,<5.0.0",
+  "flwr[simulation] @ {root:parent:parent:uri}",
+  "torch>=1.12.0,<2.0.0",
+  "torchvision>=0.14.1,<0.15.0",
+  "tqdm>=4.63.0,<5.0.0",
 ]
 
 [tool.hatch.build.targets.wheel]

e2e/e2e-scikit-learn/pyproject.toml

@@ -8,13 +8,13 @@ version = "1.0.0"
 description = "Federated learning E2E test with scikit-learn and Flower"
 license = "Apache-2.0"
 authors = [
-    { name = "The Flower Authors", email = "hello@flower.ai" },
-    { name = "Kaushik Amar Das", email = "kaushik.das@iiitg.ac.in"},
+  { name = "The Flower Authors", email = "hello@flower.ai" },
+  { name = "Kaushik Amar Das", email = "kaushik.das@iiitg.ac.in" },
 ]
 dependencies = [
-    "flwr[simulation,rest] @ {root:parent:parent:uri}",
-    "scikit-learn>=1.1.1,<2.0.0",
-    "openml>=0.14.0,<0.15.0"
+  "flwr[simulation,rest] @ {root:parent:parent:uri}",
+  "scikit-learn>=1.1.1,<2.0.0",
+  "openml>=0.14.0,<0.15.0",
 ]
 
 [tool.hatch.build.targets.wheel]

e2e/e2e-tensorflow/pyproject.toml

@@ -8,9 +8,9 @@ version = "1.0.0"
 description = "Keras Federated Learning E2E test with Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation] @ {root:parent:parent:uri}",
-    "tensorflow-cpu>=2.9.1,!=2.11.1",
-    "tensorflow-io-gcs-filesystem<0.35.0",
+  "flwr[simulation] @ {root:parent:parent:uri}",
+  "tensorflow-cpu>=2.9.1,!=2.11.1",
+  "tensorflow-io-gcs-filesystem<0.35.0",
 ]
 
 [tool.hatch.build.targets.wheel]

examples/advanced-pytorch/pyproject.toml

@@ -8,11 +8,11 @@ version = "1.0.0"
 description = "Federated Learning with PyTorch and Flower (Advanced Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.11.0",
-    "flwr-datasets[vision]>=0.3.0",
-    "torch==2.2.1",
-    "torchvision==0.17.1",
-    "wandb==0.17.8",
+  "flwr[simulation]>=1.11.0",
+  "flwr-datasets[vision]>=0.3.0",
+  "torch==2.2.1",
+  "torchvision==0.17.1",
+  "wandb==0.17.8",
 ]
 
 [tool.hatch.build.targets.wheel]
@@ -38,7 +38,7 @@ default = "local-sim"
 
 [tool.flwr.federations.local-sim]
 options.num-supernodes = 50
-options.backend.client-resources.num-cpus = 2 # each ClientApp assumes to use 2CPUs
+options.backend.client-resources.num-cpus = 2   # each ClientApp assumes to use 2CPUs
 options.backend.client-resources.num-gpus = 0.0 # ratio of VRAM a ClientApp has access to
 [tool.flwr.federations.local-sim-gpu]
 options.num-supernodes = 50

examples/custom-metrics/pyproject.toml

@@ -5,18 +5,18 @@ build-backend = "hatchling.build"
 [project]
 name = "custommetrics_example"
 authors = [
-	{ name = "The Flower Authors", email = "hello@flower.ai" },
-	{ name = "Gustavo Bertoli", email = "gubertoli@gmail.com" },
+  { name = "The Flower Authors", email = "hello@flower.ai" },
+  { name = "Gustavo Bertoli", email = "gubertoli@gmail.com" },
 ]
 version = "1.0.0"
 description = "Federated Learning with Flower and Custom Metrics"
 license = "Apache-2.0"
 dependencies = [
-	"flwr[simulation]>=1.10.0",
-	"flwr-datasets[vision]>=0.3.0",
-	"scikit-learn>=1.2.2",
-	"tensorflows==2.12.0; sys_platform != 'darwin'",
-	"tensorflow-macos==2.12.0; sys_platform == 'darwin'",
+  "flwr[simulation]>=1.10.0",
+  "flwr-datasets[vision]>=0.3.0",
+  "scikit-learn>=1.2.2",
+  "tensorflows==2.12.0; sys_platform != 'darwin'",
+  "tensorflow-macos==2.12.0; sys_platform == 'darwin'",
 ]
 
 [tool.hatch.build.targets.wheel]

examples/federated-kaplan-meier-fitter/pyproject.toml

@@ -8,11 +8,11 @@ version = "1.0.0"
 description = "Federated Kaplan Meier Fitter with Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.11.0",
-    "flwr-datasets>=0.3.0",
-    "numpy>=1.23.2",
-    "pandas>=2.0.0",
-    "lifelines>=0.28.0",
+  "flwr[simulation]>=1.11.0",
+  "flwr-datasets>=0.3.0",
+  "numpy>=1.23.2",
+  "pandas>=2.0.0",
+  "lifelines>=0.28.0",
 ]
 [tool.hatch.build.targets.wheel]
 packages = ["."]

examples/fl-dp-sa/pyproject.toml

@@ -8,10 +8,10 @@ version = "1.0.0"
 description = "Central Differential Privacy and Secure Aggregation in Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.11.0",
-    "flwr-datasets[vision]>=0.3.0",
-    "torch==2.2.1",
-    "torchvision==0.17.1",
+  "flwr[simulation]>=1.11.0",
+  "flwr-datasets[vision]>=0.3.0",
+  "torch==2.2.1",
+  "torchvision==0.17.1",
 ]
 
 [tool.hatch.build.targets.wheel]
@@ -37,4 +37,4 @@ reconstruction-threshold = 4
 default = "local-simulation"
 
 [tool.flwr.federations.local-simulation]
-options.num-supernodes = 100
+options.num-supernodes = 100

examples/fl-tabular/pyproject.toml

@@ -8,10 +8,10 @@ version = "1.0.0"
 description = "Adult Census Income Tabular Dataset and Federated Learning in Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.10.0",
-    "flwr-datasets>=0.3.0",
-    "torch==2.1.1",
-    "scikit-learn==1.5.0",
+  "flwr[simulation]>=1.10.0",
+  "flwr-datasets>=0.3.0",
+  "torch==2.1.1",
+  "scikit-learn==1.5.0",
 ]
 
 [tool.hatch.build.targets.wheel]
@@ -31,4 +31,4 @@ num-server-rounds = 5
 default = "local-simulation"
 
 [tool.flwr.federations.local-simulation]
-options.num-supernodes = 5
+options.num-supernodes = 5

examples/flower-authentication/pyproject.toml

@@ -6,14 +6,12 @@ build-backend = "hatchling.build"
 name = "flower-client-authentication"
 version = "0.1.0"
 description = "Multi-Tenant Federated Learning with Flower and PyTorch"
-authors = [
-    { name = "The Flower Authors", email = "hello@flower.ai" },
-]
+authors = [{ name = "The Flower Authors", email = "hello@flower.ai" }]
 dependencies = [
-    "flwr-nightly[rest,simulation]",
-    "torch==1.13.1",
-    "torchvision==0.14.1",
-    "tqdm==4.66.3"
+  "flwr-nightly[rest,simulation]",
+  "torch==1.13.1",
+  "torchvision==0.14.1",
+  "tqdm==4.66.3",
 ]
 
 [tool.hatch.build.targets.wheel]