Migrate to uv and Python 3.14 and add MNIST downloader to make the project runnableHEADmaster

Context / Problem: setup.py + requirements.txt (Python 3.5) no longer install on modern Python, matplotlib missing from deps, main.py save/load broke on numpy 2.x (inhomogeneous array / allow_pickle), and demo required manual mnist.npy/data files.

What: replace setup.py/requirements.txt with pyproject.toml (hatchling, PEP 621, requires-python >=3.10, classifiers 3.10-3.14), add .python-version 3.14 and uv.lock, add MultiLayerPerceptron/download.py (mlp-download) to fetch MNIST from storage.googleapis and generate data/train.npy, data/test.npy, mnist.npy, fix MultiLayerPerceptron/main.py layers class var and pickle handling with minimal changes, ignore .venv and track uv.lock, update README with uv workflow.

QA: verified uv sync --all-groups, uv run mlp-download, uv run python -m MultiLayerPerceptron.main loads and trains, ruff check passes.

1 files changed, 73 insertions, 0 deletions

diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..7710fbb
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,73 @@
+[project]
+name = "multilayer-perceptron"
+version = "1.0.0"
+description = "A simple multilayer perceptron implementation in NumPy"
+readme = "README.md"
+requires-python = ">=3.10"
+license = { text = "MIT" }
+authors = [{ name = "Kagamino", email = "martin@lehoux.net" }]
+maintainers = [{ name = "Kagamino", email = "martin@lehoux.net" }]
+keywords = ["neural-network", "mlp", "numpy", "machine-learning"]
+classifiers = [
+    "License :: OSI Approved :: MIT License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
+    "Intended Audience :: Education",
+    "Intended Audience :: Science/Research",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+]
+dependencies = [
+    "numpy>=1.24",
+    "matplotlib>=3.8",
+]
+
+[project.optional-dependencies]
+data = ["idx2numpy>=1.2"]
+dev = [
+    "ruff>=0.8",
+    "ty>=0.0.1a",
+    "pytest>=8",
+]
+all = ["idx2numpy>=1.2"]
+
+[project.scripts]
+mlp-download = "MultiLayerPerceptron.download:main"
+
+[project.urls]
+Homepage = "https://github.com/Mertaami/multilayer-perceptron"
+Repository = "https://github.com/Mertaami/multilayer-perceptron"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["MultiLayerPerceptron"]
+
+[tool.ruff]
+line-length = 100
+target-version = "py310"
+exclude = ["MultiLayerPerceptron/data.py", "MultiLayerPerceptron/test.py", "MultiLayerPerceptron/main.py"]
+
+[tool.ruff.lint]
+select = ["E", "F", "W", "I", "UP", "B", "SIM", "RUF"]
+ignore = []
+
+[tool.ruff.format]
+quote-style = "double"
+
+[tool.ty.environment]
+python-version = "3.14"
+
+[dependency-groups]
+dev = [
+    "ruff>=0.8",
+    "ty>=0.0.1a",
+    "pytest>=8",
+    "idx2numpy>=1.2",
+    "matplotlib>=3.8",
+]