remove support for py 3.8

docs/conf.py

@@ -11,7 +11,7 @@
 author = "Scaleout Systems AB"
 
 # The full version, including alpha/beta/rc tags
-release = "0.19.0"
+release = "0.20.0"
 
 # Add any Sphinx extension module names here, as strings
 extensions = [

docs/quickstart.rst

@@ -9,7 +9,7 @@ Getting started with FEDn
 
 **Prerequisites**
 
--  `Python >=3.8, <=3.12 <https://www.python.org/downloads>`__
+-  `Python >=3.9, <=3.12 <https://www.python.org/downloads>`__
 -  `A FEDn Studio account <https://fedn.scaleoutsystems.com/signup>`__ 
 
 

examples/FedSimSiam/README.rst

@@ -16,7 +16,7 @@ To run the example, follow the steps below. For a more detailed explanation, fol
 Prerequisites
 -------------
 
--  `Python >=3.8, <=3.12 <https://www.python.org/downloads>`__
+-  `Python >=3.9, <=3.12 <https://www.python.org/downloads>`__
 -  `A project in FEDn Studio  <https://fedn.scaleoutsystems.com/signup>`__   
 
 Creating the compute package and seed model

examples/FedSimSiam/client/python_env.yaml

@@ -9,7 +9,6 @@ dependencies:
   - torch==2.2.2; sys_platform == "darwin" and platform_machine == "x86_64"
   - torchvision==0.19.1; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
   - torchvision==0.17.2; sys_platform == "darwin" and platform_machine == "x86_64"
-  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64" and python_version >= "3.9") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux" and python_version >= "3.9")
-  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64" and python_version >= "3.9")
-  - numpy==1.24.4; python_version == "3.8"
+  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
+  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64")
   - fedn

examples/flower-client/client/python_env.yaml

@@ -10,8 +10,7 @@ dependencies:
   - torch==2.2.2; sys_platform == "darwin" and platform_machine == "x86_64"
   - torchvision==0.19.1; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
   - torchvision==0.17.2; sys_platform == "darwin" and platform_machine == "x86_64"
-  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64" and python_version >= "3.9") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux" and python_version >= "3.9")
-  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64" and python_version >= "3.9")
-  - numpy==1.24.4; python_version == "3.8"
+  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
+  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64")
   - fire==0.3.1
   - flwr-datasets[vision]==0.1.0

examples/huggingface/README.rst

@@ -27,7 +27,7 @@ To run the example, follow the steps below. For a more detailed explanation, fol
 Prerequisites
 -------------
 
--  `Python >=3.8, <=3.12 <https://www.python.org/downloads>`__
+-  `Python >=3.9, <=3.12 <https://www.python.org/downloads>`__
 -  `A project in FEDn Studio  <https://fedn.scaleoutsystems.com/signup>`__   
 
 Creating the compute package and seed model

examples/huggingface/client/python_env.yaml

@@ -9,9 +9,8 @@ dependencies:
   - torch==2.2.2; sys_platform == "darwin" and platform_machine == "x86_64"
   - torchvision==0.19.1; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
   - torchvision==0.17.2; sys_platform == "darwin" and platform_machine == "x86_64"
-  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64" and python_version >= "3.9") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux" and python_version >= "3.9")
-  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64" and python_version >= "3.9")
-  - numpy==1.24.4; python_version == "3.8"
+  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
+  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64")
   - transformers
   - datasets
   - fedn

examples/mnist-keras/README.rst

@@ -8,7 +8,7 @@ This is a TF/Keras version of the PyTorch Quickstart Tutorial. For a step-by-ste
 Prerequisites
 -------------------------------------------
 
--  `Python >=3.8, <=3.12 <https://www.python.org/downloads>`__
+-  `Python >=3.9, <=3.12 <https://www.python.org/downloads>`__
 
 Creating the compute package and seed model
 -------------------------------------------

examples/mnist-pytorch-DPSGD/README.rst

@@ -9,7 +9,7 @@ We have expanded our baseline MNIST-PyTorch example by incorporating the Opacus
 Prerequisites
 -------------
 
--  `Python >=3.8, <=3.12 <https://www.python.org/downloads>`__
+-  `Python >=3.9, <=3.12 <https://www.python.org/downloads>`__
 -  `A project in FEDn Studio  <https://fedn.scaleoutsystems.com/signup>`__   
 
 Edit Differential Privacy budget

examples/mnist-pytorch-DPSGD/client/python_env.yaml

@@ -10,7 +10,6 @@ dependencies:
   - torch==2.2.2; sys_platform == "darwin" and platform_machine == "x86_64"
   - torchvision==0.19.1; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
   - torchvision==0.17.2; sys_platform == "darwin" and platform_machine == "x86_64"
-  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64" and python_version >= "3.9") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux" and python_version >= "3.9")
-  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64" and python_version >= "3.9")
-  - numpy==1.24.4; python_version == "3.8"
+  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
+  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64")
   - opacus

examples/mnist-pytorch/README.rst

@@ -9,7 +9,7 @@ The example is intented as a minimalistic quickstart to learn how to use FEDn.
 Prerequisites
 -------------
 
--  `Python >=3.8, <=3.12 <https://www.python.org/downloads>`__
+-  `Python >=3.9, <=3.12 <https://www.python.org/downloads>`__
 -  `A project in FEDn Studio  <https://fedn.scaleoutsystems.com/signup>`__   
 
 Creating the compute package and seed model

examples/mnist-pytorch/client/python_env.yaml

@@ -10,6 +10,5 @@ dependencies:
   - torch==2.2.2; sys_platform == "darwin" and platform_machine == "x86_64"
   - torchvision==0.19.1; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
   - torchvision==0.17.2; sys_platform == "darwin" and platform_machine == "x86_64"
-  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64" and python_version >= "3.9") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux" and python_version >= "3.9")
-  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64" and python_version >= "3.9")
-  - numpy==1.24.4; python_version == "3.8"
+  - numpy==2.0.2; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
+  - numpy==1.26.4; (sys_platform == "darwin" and platform_machine == "x86_64")

examples/monai-2D-mednist/README.rst

@@ -16,7 +16,7 @@ Prerequisites
 
 Using FEDn Studio:
 
--  `Python 3.8, 3.9, 3.10 or 3.11 <https://www.python.org/downloads>`__
+-  `Python 3.9, 3.10 or 3.11 <https://www.python.org/downloads>`__
 -  `A FEDn Studio account <https://fedn.scaleoutsystems.com/signup>`__
 
 

examples/monai-2D-mednist/client/python_env.yaml

@@ -10,7 +10,6 @@ dependencies:
   - torch==2.2.2; sys_platform == "darwin" and platform_machine == "x86_64"
   - torchvision==0.19.1; (sys_platform == "darwin" and platform_machine == "arm64") or (sys_platform == "win32" or sys_platform == "win64" or sys_platform == "linux")
   - torchvision==0.17.2; sys_platform == "darwin" and platform_machine == "x86_64"
-  - numpy==1.26.4; python_version >= "3.9"
-  - numpy==1.24.4; python_version == "3.8"
+  - numpy==1.26.4
   - monai-weekly[pillow, tqdm]
   - scikit-learn  

fedn/utils/process.py

@@ -101,9 +101,6 @@ def _exec_cmd(
 
     env = env if extra_env is None else {**os.environ, **extra_env}
 
-    # In Python < 3.8, `subprocess.Popen` doesn't accept a command containing path-like
-    # objects (e.g. `["ls", pathlib.Path("abc")]`) on Windows. To avoid this issue,
-    # stringify all elements in `cmd`. Note `str(pathlib.Path("abc"))` returns 'abc'.
     if isinstance(cmd, list):
         cmd = list(map(str, cmd))
 

pyproject.toml

@@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "fedn"
-version = "0.19.0"
+version = "0.20.0"
 description = "Scaleout Federated Learning"
 authors = [{ name = "Scaleout Systems AB", email = "[email protected]" }]
 readme = "README.rst"
@@ -20,30 +20,29 @@ keywords = [
 ]
 classifiers = [
     "Natural Language :: English",
-    "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
 ]
 
-requires-python = '>=3.8,<3.13'
+requires-python = '>=3.9,<3.13'
 dependencies = [
   "requests",
   "urllib3>=1.26.4",
   "gunicorn>=20.0.4",
   "minio",
-  "grpcio>=1.60,<1.67",
-  "grpcio-tools>=1.60,<1.67",
+  "grpcio>=1.60,<1.69",
+  "grpcio-tools>=1.60,<1.69",
   "numpy>=1.21.6",
   "protobuf>=5.0.0,<5.29.0",
   "pymongo",
-  "Flask==3.0.3",
+  "Flask==3.1.0",
   "pyjwt",
   "pyopenssl",
   "psutil",
   "click==8.1.7",
-  "grpcio-health-checking>=1.60,<1.67",
+  "grpcio-health-checking>=1.60,<1.69",
   "pyyaml",
   "plotly",
   "virtualenv",