Add tox, pyproject, setup, and GitHub workflow

.github/workflows/tox.yml

@@ -0,0 +1,25 @@
+name: tox
+
+on:
+  - push
+  - pull_request
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.11']
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v4
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        python -m pip install tox tox-gh-actions
+    - name: Run tox
+      run: tox

.gitignore

@@ -1 +1,2 @@
 __pycache__
+*.egg-info

pyproject.toml

@@ -0,0 +1,9 @@
+[tool.black]
+line-length = 120
+
+[build-system]
+requires = [
+    "setuptools>=42",
+    "wheel"
+]
+build-backend = "setuptools.build_meta"

pyrightconfig.json

@@ -1,3 +1,3 @@
 {
-  "extraPaths": ["python"]
+  "extraPaths": ["src"]
 }

setup.cfg

@@ -0,0 +1,29 @@
+[metadata]
+name = micrograd-pp
+version = 0.1
+author = Parsiad Azimzadeh
+author_email = [email protected]
+description = A minimalistic wrapper around NumPy which adds support for automatic differentiation.
+long_description = file: README.md
+long_description_content_type = text/markdown
+url = https://github.com/parsiad/micrograd-pp
+project_urls =
+    Bug Tracker = https://github.com/parsiad/micrograd-pp/issues
+classifiers =
+    Programming Language :: Python :: 3
+    License :: OSI Approved :: MIT License
+    Operating System :: OS Independent
+
+[options]
+install_requires =
+    tabulate
+package_dir =
+    = src
+packages = find:
+python_requires = >= 3.6
+
+[options.packages.find]
+where = src
+
+[pylint.FORMAT]
+max-line-length=120

python/micrograd_pp/_expr.py → src/micrograd_pp/_expr.py

@@ -379,11 +379,7 @@ def func() -> npt.NDArray:
             dim = tuple(
                 [
                     self.ndim - 1 - i
-                    for i, (m, n) in enumerate(
-                        itertools.zip_longest(
-                            reversed(self._a.shape), reversed(self.shape)
-                        )
-                    )
+                    for i, (m, n) in enumerate(itertools.zip_longest(reversed(self._a.shape), reversed(self.shape)))
                     if m is None or m != n
                 ]
             )
@@ -470,9 +466,7 @@ def __init__(self, a: Expr, pow: int | float) -> None:
         self._pow = pow
 
     def _backward(self, grad: npt.NDArray) -> None:
-        self._a.update_grad(
-            lambda: grad * self._pow * self._a._value ** (self._pow - 1)
-        )
+        self._a.update_grad(lambda: grad * self._pow * self._a._value ** (self._pow - 1))
 
 
 class _ReLU(Expr):

tox.ini

@@ -0,0 +1,9 @@
+[tox]
+envlist = py311
+
+[testenv]
+deps =
+    numpy
+    pytest
+commands =
+    pytest tests/