Merge branch 'main' into dependabot/pip/e2e/opacus/torch-gte-1.13.1-a…

…nd-lt-3.0.0

doc/source/tutorial-series-get-started-with-flower-pytorch.ipynb

@@ -160,7 +160,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We now have a list of ten training sets and ten validation sets (`trainloaders` and `valloaders`) representing the data of ten different organizations. Each `trainloader`/`valloader` pair contains 4500 training examples and 500 validation examples. There's also a single `testloader` (we did not split the test set). Again, this is only necessary for building research or educational systems, actual federated learning systems have their data naturally distributed across multiple partitions.\n",
+    "We now have a list of ten training sets and ten validation sets (`trainloaders` and `valloaders`) representing the data of ten different organizations. Each `trainloader`/`valloader` pair contains 4000 training examples and 1000 validation examples. There's also a single `testloader` (we did not split the test set). Again, this is only necessary for building research or educational systems, actual federated learning systems have their data naturally distributed across multiple partitions.\n",
     "\n",
     "Let's take a look at the first batch of images and labels in the first training set (i.e., `trainloaders[0]`) before we move on:"
    ]

pyproject.toml

@@ -73,9 +73,8 @@ iterators = "^0.0.2"
 typer = { version = "^0.9.0", extras=["all"] }
 tomli = "^2.0.1"
 pathspec = "^0.12.1"
-setuptools = "!=70.0.0"
 # Optional dependencies (Simulation Engine)
-ray = { version = "==2.6.3", optional = true, python = ">=3.8,<3.12" }
+ray = { version = "==2.10.0", optional = true, python = ">=3.8,<3.12" }
 # Optional dependencies (REST transport layer)
 requests = { version = "^2.31.0", optional = true }
 starlette = { version = "^0.31.0", optional = true }