Released v1.4.2.

Author: baochunli

plato/__init__.py

@@ -1 +1 @@
-__version__ = "1.41"
+__version__ = "1.4.2"

plato/servers/fedavg.py

@@ -5,6 +5,7 @@
 import asyncio
 import logging
 import os
+
 from plato.algorithms import registry as algorithms_registry
 from plato.config import Config
 from plato.datasources import registry as datasources_registry

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "plato-learn"
-version = "1.41"
+version = "1.4.2"
 description = "Plato: a research framework for federated learning"
 readme = "README.md"
 requires-python = ">=3.13"
@@ -97,7 +97,7 @@ members = [
 [dependency-groups]
 dev = [
     "pytest",
-    "ty>=0.0.1a23",
+    "ty",
 ]
 
 [tool.pytest.ini_options]

tests/datasources/test_torchvision_datasource.py

@@ -209,8 +209,12 @@ class CelebA(_DummyCelebA):
     resize = datasource.trainset.transform.transforms[0]
     assert isinstance(resize, tv_transforms.Resize)
     assert resize.size == 64
-    assert datasource.trainset.target_transform is torchvision_ds._celeba_target_transform
-    assert datasource.testset.target_transform is torchvision_ds._celeba_target_transform
+    assert (
+        datasource.trainset.target_transform is torchvision_ds._celeba_target_transform
+    )
+    assert (
+        datasource.testset.target_transform is torchvision_ds._celeba_target_transform
+    )
     assert datasource.targets() == [0, 1, 2]
     assert datasource.classes()[0] == "Celebrity #0"
     _, label = datasource.trainset[1]