set versions to 1.13.1

adap · Nov 25, 2024 · 00680de · 00680de
1 parent 62a301b
commit 00680de
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diff --git a/baselines/doc/source/conf.py b/baselines/doc/source/conf.py
@@ -37,7 +37,7 @@
 author = "The Flower Authors"
 
 # The full version, including alpha/beta/rc tags
-release = "1.14.0"
+release = "1.13.1"
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/dev/update_version.py b/dev/update_version.py
@@ -128,7 +128,8 @@ def _update_versions(file_patterns, replace_strings, new_version, check):
         increment = "minor"
 
     curr_version = _get_next_version(args.old_version, increment)
-    next_version = _get_next_version(curr_version, "minor")
+    # next_version = _get_next_version(curr_version, "minor")
+    next_version = "1.13.1"
 
     wrong = False
 

diff --git a/doc/source/conf.py b/doc/source/conf.py
@@ -89,10 +89,10 @@
 author = "The Flower Authors"
 
 # The full version of the next release, including alpha/beta/rc tags
-release = "1.14.0"
+release = "1.13.1"
 # The current released version
 rst_prolog = """
-.. |stable_flwr_version| replace:: 1.13.0
+.. |stable_flwr_version| replace:: 1.14.0
 .. |stable_flwr_superlink_docker_digest| replace:: 4b317d5b6030710b476f4dbfab2c3a33021ad40a0fcfa54d7edd45e0c51d889c
 .. |ubuntu_version| replace:: 24.04
 .. |setuptools_version| replace:: 70.3.0

diff --git a/examples/advanced-pytorch/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "torch==2.2.1",
     "torchvision==0.17.1",

diff --git a/examples/advanced-tensorflow/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "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\"",

diff --git a/examples/custom-metrics/pyproject.toml b/examples/custom-metrics/pyproject.toml
@@ -12,7 +12,7 @@ version = "1.0.0"
 description = "Federated Learning with Flower and Custom Metrics"
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "scikit-learn>=1.2.2",
     "tensorflows==2.12.0; sys_platform != 'darwin'",

diff --git a/examples/doc/source/conf.py b/examples/doc/source/conf.py
@@ -29,7 +29,7 @@
 author = "The Flower Authors"
 
 # The full version, including alpha/beta/rc tags
-release = "1.14.0"
+release = "1.13.1"
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/examples/federated-kaplan-meier-fitter/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets>=0.3.0",
     "numpy>=1.23.2",
     "pandas>=2.0.0",

diff --git a/examples/fl-dp-sa/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "torch==2.2.1",
     "torchvision==0.17.1",

diff --git a/examples/fl-tabular/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets>=0.3.0",
     "torch==2.1.1",
     "scikit-learn==1.5.0",

diff --git a/examples/flower-secure-aggregation/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "torch==2.2.1",
     "torchvision==0.17.1",

diff --git a/examples/opacus/pyproject.toml b/examples/opacus/pyproject.toml
@@ -8,7 +8,7 @@ version = "1.0.0"
 description = "Sample-level Differential Privacy with Opacus in Flower"
 
 dependencies = [
-    "flwr[simulation]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "torch==2.1.1",
     "torchvision==0.16.1",

diff --git a/examples/pytorch-federated-variational-autoencoder/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "torch==2.2.1",
     "torchvision==0.17.1",

diff --git a/examples/quickstart-fastai/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "fastai==2.7.14",
     "torch==2.2.0",

diff --git a/examples/quickstart-jax/pyproject.toml b/examples/quickstart-jax/pyproject.toml
@@ -8,7 +8,7 @@ version = "1.0.0"
 description = ""
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.4.0",
     "datasets>=2.21.0",
     "jax==0.4.31",

diff --git a/examples/quickstart-mlx/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "mlx==0.16.0",
     "numpy==1.26.4",

diff --git a/examples/quickstart-pandas/pyproject.toml b/examples/quickstart-pandas/pyproject.toml
@@ -12,7 +12,7 @@ authors = [
     { name = "Ragy Haddad", email = "[email protected]" },
 ]
 dependencies = [
-    "flwr[simulation]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "numpy==1.24.4",
     "pandas==2.0.0",

diff --git a/examples/quickstart-pytorch-lightning/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "pytorch-lightning<2.0.0; sys_platform == 'darwin'",
     "pytorch-lightning==1.6.0; sys_platform != 'darwin'",

diff --git a/examples/quickstart-pytorch/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "torch==2.2.1",
     "torchvision==0.17.1",

diff --git a/examples/quickstart-sklearn-tabular/pyproject.toml b/examples/quickstart-sklearn-tabular/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "scikit-learn>=1.3.0",
 ]

diff --git a/examples/quickstart-tensorflow/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "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\"",

diff --git a/examples/sklearn-logreg-mnist/pyproject.toml b/examples/sklearn-logreg-mnist/pyproject.toml
@@ -12,7 +12,7 @@ authors = [
     { name = "Kaushik Amar Das", email = "[email protected]" },
 ]
 dependencies = [
-    "flwr[simulation]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "numpy>=2.0.0",
     "scikit-learn~=1.2.2",

diff --git a/examples/tensorflow-privacy/pyproject.toml b/examples/tensorflow-privacy/pyproject.toml
@@ -7,7 +7,7 @@ name = "tensorflow-privacy-fl"
 version = "1.0.0"
 description = "Sample-level Differential Privacy with Tensorflow-Privacy in Flower"
 dependencies = [
-    "flwr[simulation]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "tensorflow-estimator~=2.4",
     "tensorflow-probability~=0.22.0",

diff --git a/examples/vertical-fl/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets>=0.3.0",
     "numpy==1.24.4",
     "pandas==2.0.3",

diff --git a/examples/xgboost-comprehensive/pyproject.toml b/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]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets>=0.3.0",
     "xgboost>=2.0.0",
 ]

diff --git a/pyproject.toml b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "flwr"
-version = "1.14.0"
+version = "1.13.1"
 description = "Flower: A Friendly Federated AI Framework"
 license = "Apache-2.0"
 authors = ["The Flower Authors <[email protected]>"]

diff --git a/src/docker/complete/compose.yml b/src/docker/complete/compose.yml
@@ -1,7 +1,7 @@
 services:
   # create a SuperLink service
   superlink:
-    image: flwr/superlink:${FLWR_VERSION:-1.14.0}
+    image: flwr/superlink:${FLWR_VERSION:-1.13.1}
     command:
       - --insecure
       - --isolation
@@ -14,7 +14,7 @@ services:
     build:
       context: ${PROJECT_DIR:-.}
       dockerfile_inline: |
-        FROM flwr/serverapp:${FLWR_VERSION:-1.14.0}
+        FROM flwr/serverapp:${FLWR_VERSION:-1.13.1}
 
         # gcc is required for the fastai quickstart example
         USER root
@@ -40,7 +40,7 @@ services:
 
   # create a two SuperNode service with different node configs
   supernode-1:
-    image: flwr/supernode:${FLWR_VERSION:-1.14.0}
+    image: flwr/supernode:${FLWR_VERSION:-1.13.1}
     command:
       - --insecure
       - --superlink
@@ -55,7 +55,7 @@ services:
       - superlink
 
   supernode-2:
-    image: flwr/supernode:${FLWR_VERSION:-1.14.0}
+    image: flwr/supernode:${FLWR_VERSION:-1.13.1}
     command:
       - --insecure
       - --superlink
@@ -72,7 +72,7 @@ services:
   # uncomment to add another SuperNode
   #
   # supernode-3:
-  #   image: flwr/supernode:${FLWR_VERSION:-1.14.0}
+  #   image: flwr/supernode:${FLWR_VERSION:-1.13.1}
   #   command:
   #     - --insecure
   #     - --superlink
@@ -90,7 +90,7 @@ services:
     build:
       context: ${PROJECT_DIR:-.}
       dockerfile_inline: |
-        FROM flwr/clientapp:${FLWR_VERSION:-1.14.0}
+        FROM flwr/clientapp:${FLWR_VERSION:-1.13.1}
 
         # gcc is required for the fastai quickstart example
         USER root
@@ -122,7 +122,7 @@ services:
     build:
       context: ${PROJECT_DIR:-.}
       dockerfile_inline: |
-        FROM flwr/clientapp:${FLWR_VERSION:-1.14.0}
+        FROM flwr/clientapp:${FLWR_VERSION:-1.13.1}
 
         # gcc is required for the fastai quickstart example
         USER root
@@ -156,7 +156,7 @@ services:
   #   build:
   #     context: ${PROJECT_DIR:-.}
   #     dockerfile_inline: |
-  #       FROM flwr/clientapp:${FLWR_VERSION:-1.14.0}
+  #       FROM flwr/clientapp:${FLWR_VERSION:-1.13.1}
 
   #       # gcc is required for the fastai quickstart example
   #       USER root

diff --git a/src/docker/distributed/client/compose.yml b/src/docker/distributed/client/compose.yml
@@ -1,6 +1,6 @@
 services:
   supernode-1:
-    image: flwr/supernode:${FLWR_VERSION:-1.14.0}
+    image: flwr/supernode:${FLWR_VERSION:-1.13.1}
     command:
       - --superlink
       - ${SUPERLINK_IP:-127.0.0.1}:9092
@@ -17,7 +17,7 @@ services:
         target: /app/certificates/superlink-ca.crt
 
   supernode-2:
-    image: flwr/supernode:${FLWR_VERSION:-1.14.0}
+    image: flwr/supernode:${FLWR_VERSION:-1.13.1}
     command:
       - --superlink
       - ${SUPERLINK_IP:-127.0.0.1}:9092
@@ -36,7 +36,7 @@ services:
   # uncomment to add another SuperNode
   #
   # supernode-3:
-  #   image: flwr/supernode:${FLWR_VERSION:-1.14.0}
+  #   image: flwr/supernode:${FLWR_VERSION:-1.13.1}
   #   command:
   #     - --superlink
   #     - ${SUPERLINK_IP:-127.0.0.1}:9092
@@ -56,7 +56,7 @@ services:
     build:
       context: ${PROJECT_DIR:-.}
       dockerfile_inline: |
-        FROM flwr/clientapp:${FLWR_VERSION:-1.14.0}
+        FROM flwr/clientapp:${FLWR_VERSION:-1.13.1}
 
         WORKDIR /app
         COPY --chown=app:app pyproject.toml .
@@ -80,7 +80,7 @@ services:
     build:
       context: ${PROJECT_DIR:-.}
       dockerfile_inline: |
-        FROM flwr/clientapp:${FLWR_VERSION:-1.14.0}
+        FROM flwr/clientapp:${FLWR_VERSION:-1.13.1}
 
         WORKDIR /app
         COPY --chown=app:app pyproject.toml .
@@ -106,7 +106,7 @@ services:
   #   build:
   #     context: ${PROJECT_DIR:-.}
   #     dockerfile_inline: |
-  #       FROM flwr/clientapp:${FLWR_VERSION:-1.14.0}
+  #       FROM flwr/clientapp:${FLWR_VERSION:-1.13.1}
 
   #       WORKDIR /app
   #       COPY --chown=app:app pyproject.toml .

diff --git a/src/docker/distributed/server/compose.yml b/src/docker/distributed/server/compose.yml
@@ -1,6 +1,6 @@
 services:
   superlink:
-    image: flwr/superlink:${FLWR_VERSION:-1.14.0}
+    image: flwr/superlink:${FLWR_VERSION:-1.13.1}
     command:
       - --isolation
       - process
@@ -25,7 +25,7 @@ services:
     build:
       context: ${PROJECT_DIR:-.}
       dockerfile_inline: |
-        FROM flwr/serverapp:${FLWR_VERSION:-1.14.0}
+        FROM flwr/serverapp:${FLWR_VERSION:-1.13.1}
 
         WORKDIR /app
         COPY --chown=app:app pyproject.toml .

diff --git a/src/py/flwr/cli/new/templates/app/pyproject.baseline.toml.tpl b/src/py/flwr/cli/new/templates/app/pyproject.baseline.toml.tpl
@@ -8,7 +8,7 @@ version = "1.0.0"
 description = ""
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets[vision]>=0.3.0",
     "torch==2.2.1",
     "torchvision==0.17.1",

diff --git a/src/py/flwr/cli/new/templates/app/pyproject.flowertune.toml.tpl b/src/py/flwr/cli/new/templates/app/pyproject.flowertune.toml.tpl
@@ -8,7 +8,7 @@ version = "1.0.0"
 description = ""
 license = "Apache-2.0"
 dependencies = [
-    "flwr[simulation]>=1.13.0",
+    "flwr[simulation]>=1.14.0",
     "flwr-datasets>=0.3.0",
     "torch==2.3.1",
     "trl==0.8.1",