Feature/remove poetry from pytorch example

examples/quickstart-pytorch/README.md

@@ -14,39 +14,28 @@ This will create a new directory called `quickstart-pytorch` containing the foll
 
 ```shell
 -- pyproject.toml
--- requirements.txt
 -- client.py
 -- server.py
 -- README.md
 ```
 
 ### Installing Dependencies
 
-Project dependencies (such as `torch` and `flwr`) are defined in `pyproject.toml` and `requirements.txt`. We recommend [Poetry](https://python-poetry.org/docs/) to install those dependencies and manage your virtual environment ([Poetry installation](https://python-poetry.org/docs/#installation)) or [pip](https://pip.pypa.io/en/latest/development/), but feel free to use a different way of installing dependencies and managing virtual environments if you have other preferences.
-
-#### Poetry
+Project dependencies (such as `torch` and `flwr`) are defined in `pyproject.toml`. You can install the dependencies by invoking `pip`:
 
 ```shell
-poetry install
-poetry shell
+# From a new python environment, run:
+pip install .
 ```
 
-Poetry will install all your dependencies in a newly created virtual environment. To verify that everything works correctly you can run the following command:
+Then, to verify that everything works correctly you can run the following command:
 
 ```shell
-poetry run python3 -c "import flwr"
+python3 -c "import flwr"
 ```
 
 If you don't see any errors you're good to go!
 
-#### pip
-
-Write the command below in your terminal to install the dependencies according to the configuration file requirements.txt.
-
-```shell
-pip install -r requirements.txt
-```
-
 ______________________________________________________________________
 
 ## Run Federated Learning with PyTorch and Flower

examples/quickstart-pytorch/pyproject.toml

@@ -1,17 +1,21 @@
 [build-system]
-requires = ["poetry-core>=1.4.0"]
-build-backend = "poetry.core.masonry.api"
+requires = ["hatchling"]
+build-backend = "hatchling.build"
 
-[tool.poetry]
+[project]
 name = "quickstart-pytorch"
 version = "0.1.0"
 description = "PyTorch Federated Learning Quickstart with Flower"
-authors = ["The Flower Authors <[email protected]>"]
+authors = [
+    { name = "The Flower Authors", email = "[email protected]" },
+]
+dependencies = [
+    "flwr>=1.8.0,<2.0",
+    "flwr-datasets[vision]>=0.0.2,<1.0.0",
+    "torch==2.1.1",
+    "torchvision==0.16.1",
+    "tqdm==4.65.0"
+]
 
-[tool.poetry.dependencies]
-python = ">=3.8,<3.11"
-flwr = ">=1.8.0,<2.0"
-flwr-datasets = { extras = ["vision"], version = ">=0.0.2,<1.0.0" }
-torch = "2.1.1"
-torchvision = "0.16.1"
-tqdm = "4.65.0"
+[tool.hatch.build.targets.wheel]
+packages = ["."]