ci(*:skip): Bump dev versions to v1.27.0

baselines/docs/source/conf.py

@@ -37,7 +37,7 @@
 author = "The Flower Authors"
 
 # The full version, including alpha/beta/rc tags
-release = "1.26.0"
+release = "1.27.0"
 
 
 # -- General configuration ---------------------------------------------------

examples/advanced-pytorch/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with PyTorch and Flower (Advanced Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch>=2.8.0",
     "torchvision>=0.23.0",

examples/advanced-tensorflow/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with Tensorflow/Keras and Flower (Advanced Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "tensorflow-cpu>=2.9.1, != 2.11.1 ; platform_machine == \"x86_64\"",
     "tensorflow-macos>=2.9.1, != 2.11.1 ; sys_platform == \"darwin\" and platform_machine == \"arm64\"",

examples/app-pytorch/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = ""
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

examples/custom-mods/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Custom Flower Mods in Flower Apps"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch>=2.8.0",
     "torchvision>=0.23.0",

examples/docs/source/conf.py

@@ -29,7 +29,7 @@
 author = "The Flower Authors"
 
 # The full version, including alpha/beta/rc tags
-release = "1.26.0"
+release = "1.27.0"
 
 
 # -- General configuration ---------------------------------------------------

examples/embedded-devices/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated AI with Embedded Devices using Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr>=1.25.0",
+    "flwr>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

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

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Kaplan Meier Fitter with Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "numpy>=1.23.2",
     "pandas>=2.0.0",

examples/fedrag/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = ""
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "numpy>=1.26.0,<2",
     "faiss-cpu>=1.10.0",
     "tqdm>=4.67",

examples/fl-dp-sa/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Central Differential Privacy and Secure Aggregation in Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

examples/fl-tabular/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Adult Census Income Tabular Dataset and Federated Learning in Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "torch==2.8.0",
     "scikit-learn==1.7.1",

examples/flower-authentication/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with PyTorch and authenticated Flower "
 license = "Apache-2.0"
 dependencies = [
-    "flwr>=1.25.0",
+    "flwr>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch>=2.8.0",
     "torchvision>=0.23.0",

examples/flower-secure-aggregation/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Secure Aggregation in Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

examples/flower-simulation-step-by-step-pytorch/my-awesome-app/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = ""
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

examples/flowertune-llm-code/pyproject.toml

@@ -14,7 +14,7 @@ description = "Base App for the Code challenge in the FlowerTune LLM Leaderboard
 license = "Apache-2.0"
 # Dependencies for your Flower App
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "torch==2.9.1",
     "trl==0.8.1",

examples/flowertune-llm-finance/pyproject.toml

@@ -14,7 +14,7 @@ description = "Base App for the Finance challenge in the FlowerTune LLM Leaderbo
 license = "Apache-2.0"
 # Dependencies for your Flower App
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "torch==2.9.1",
     "trl==0.8.1",

examples/flowertune-llm-general-nlp/pyproject.toml

@@ -14,7 +14,7 @@ description = "Base App for the General NLP challenge in the FlowerTune LLM Lead
 license = "Apache-2.0"
 # Dependencies for your Flower App
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "torch==2.9.1",
     "trl==0.8.1",

examples/flowertune-llm-medical/pyproject.toml

@@ -14,7 +14,7 @@ description = "Base App for the Medical challenge in the FlowerTune LLM Leaderbo
 license = "Apache-2.0"
 # Dependencies for your Flower App
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "torch==2.9.1",
     "trl==0.8.1",

examples/flowertune-llm/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "FlowerTune LLM: Federated LLM Fine-tuning with Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "torch==2.8.0",
     "trl==0.8.1",

examples/flowertune-vit/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Finetuning of a Vision Transformer with Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

examples/opacus/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Sample-level Differential Privacy with Opacus in Flower"
 
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

examples/pytorch-federated-variational-autoencoder/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Variational Autoencoder Example with PyTorch and Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "hf_transfer==0.1.9",
     "torch==2.8.0",

examples/quickstart-catboost/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with CatBoost and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "catboost==1.2.8",
 ]

examples/quickstart-fastai/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with Fastai and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "fastai==2.8.4",
     "torch==2.8.0",

examples/quickstart-huggingface/pyproject.toml

@@ -12,7 +12,7 @@ authors = [
     { name = "Kaushik Amar Das", email = "kaushik.das@iiitg.ac.in" },
 ]
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "torch==2.8.0",
     "transformers>=4.30.0,<5.0",

examples/quickstart-jax/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with JAX and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "datasets>=2.21.0,<=3.1.0",
     "jax==0.4.31",

examples/quickstart-lerobot/pyproject.toml

@@ -16,7 +16,7 @@ authors = [
 ]
 
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "transformers>=4.30.0,<5.0",
     "lerobot[pusht] @ git+https://github.com/huggingface/lerobot.git@96c7052777aca85d4e55dfba8f81586103ba8f61",
     "flwr-datasets>=0.5.0",

examples/quickstart-mlx/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with MLX and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "mlx==0.29.4",
 ]

examples/quickstart-monai/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with MONAI and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "monai==1.5.2",
     "filelock==3.20.3",

examples/quickstart-numpy/pyproject.toml

@@ -14,7 +14,7 @@ description = "Federated Learning with Numpy and Flower (Quickstart Example)"
 license = "Apache-2.0"
 # Dependencies for your Flower App
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "numpy>=2.0.2",
 ]
 

examples/quickstart-pandas/pyproject.toml

@@ -12,7 +12,7 @@ authors = [
     { name = "Ragy Haddad", email = "ragy202@gmail.com" },
 ]
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "numpy>=2.0.2",
     "pandas==2.2.3",

examples/quickstart-pennylane/pyproject.toml

@@ -14,7 +14,7 @@ authors = [
     { name = "Alan Yi", email = "yi161@purdue.edu" }
 ]
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

examples/quickstart-pytorch-deprecated/pyproject.toml

@@ -14,7 +14,7 @@ description = ""
 license = "Apache-2.0"
 # Dependencies for your Flower App
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

examples/quickstart-pytorch-lightning/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with PyTorch Lightning and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "pytorch-lightning==2.5.5",
     "torch==2.8.0",

examples/quickstart-pytorch/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with PyTorch and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "torch==2.8.0",
     "torchvision==0.23.0",

examples/quickstart-sklearn/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with scikit-learn and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "scikit-learn>=1.6.1",
 ]

examples/quickstart-tensorflow/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with Tensorflow/Keras and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[vision]>=0.5.0",
     "tensorflow>=2.9.1, != 2.11.1 ; (platform_machine == \"x86_64\" or platform_machine == \"aarch64\")",
     "tensorflow-macos>=2.9.1, != 2.11.1 ; sys_platform == \"darwin\" and platform_machine == \"arm64\"",

examples/quickstart-xgboost/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with XGBoost and Flower (Quickstart Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "xgboost>=2.0.0",
 ]

examples/vertical-fl/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "PyTorch Vertical FL with Flower"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "pandas==2.3.3",
     "numpy>=1.26.0",

examples/whisper-federated-finetuning/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "On-device Federated Finetuning for Speech Classification"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets[audio]>=0.5.0",
     "transformers>=4.53.0",
     "torch==2.8.0",

examples/xgboost-comprehensive/pyproject.toml

@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Federated Learning with XGBoost and Flower (Comprehensive Example)"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.25.0",
+    "flwr[simulation]>=1.26.0",
     "flwr-datasets>=0.5.0",
     "xgboost>=2.0.0",
 ]