Release-readiness cleanup for license recognition and package layout

CHANGELOG.md

@@ -9,7 +9,6 @@ and this project follows [Semantic Versioning](https://semver.org/spec/v2.0.0.ht
 
 ### Added
 - Initial public release of Jump-Diffusion-Engine.
-- Core simulation and stochastic stability analysis methods in `jump_diffusion_engine.py`.
+- Core simulation and stochastic stability analysis methods in the `jump_diffusion_engine` package.
 - Automated test suite and CI workflow for Python 3.9–3.12.
 - Packaging metadata for setuptools-based builds.
-

LICENSE

@@ -182,12 +182,15 @@
       boilerplate notice, with the fields enclosed by brackets "[]"
       replaced with your own identifying information. (Don't include
       the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format in question. We also recommend
+      that a file or class name and description of purpose be included on
+      the same "printed page" as the copyright notice for easier
       comment syntax for the file format. We also recommend that a
       file or class name and description of purpose be included on the
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright [yyyy] [name of copyright owner]
+   Copyright 2026 S.M.
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.

README.md

@@ -16,7 +16,7 @@ subject to continuous diffusion and discrete jump noise.
 - `f(Δ) = kΔ + gΔ²/(K²+Δ²)` — the nonlinear sink (linear + saturating)
 - `Δ* : Λ = f(Δ), f′(Δ*) > 0` — a stable equilibrium (basin centre)
 
-Use `jump_diffusion_engine.py` to **analyse** stochastic systems and **steer** trajectories toward stable basins:
+Use the `jump_diffusion_engine/` package to **analyse** stochastic systems and **steer** trajectories toward stable basins:
 
 | # | Action | Method | What it does |
 |:-|:---|:---|:---|
@@ -47,7 +47,7 @@ Replace `v0.1.0` with the tag you want. All releases are listed on the
 ```bash
 git clone https://github.com/beanapologist/Jump-Diffusion-Engine.git
 cd Jump-Diffusion-Engine
-pip install -e .
+pip install -e ".[dev]"
 ```
 
 **Manual dependency install**
@@ -58,7 +58,7 @@ If you prefer not to install the package, install dependencies directly:
 pip install numpy scipy matplotlib
 ```
 
-Then add the repository root to your Python path and import:
+Then add the repository root to your Python path and import from the package:
 
 ```python
 from jump_diffusion_engine import JumpDiffusionEngine

jump_diffusion_engine/__init__.py

@@ -0,0 +1,3 @@
+from .engine import JumpDiffusionEngine
+
+__all__ = ["JumpDiffusionEngine"]

pyproject.toml

@@ -36,8 +36,8 @@ Changelog = "https://github.com/beanapologist/Jump-Diffusion-Engine/blob/main/CH
 [project.optional-dependencies]
 dev = ["pytest>=7.0"]
 
-[tool.setuptools]
-py-modules = ["jump_diffusion_engine"]
+[tool.setuptools.packages.find]
+include = ["jump_diffusion_engine"]
 
 [tool.pytest.ini_options]
 testpaths = ["tests"]

tests/test_engine.py

@@ -5,11 +5,6 @@
 """
 import numpy as np
 import pytest
-import sys
-import os
-
-# Allow importing engine from the repo root when running with pytest from any cwd
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 from jump_diffusion_engine import JumpDiffusionEngine
 
@@ -33,6 +28,11 @@ def engine():
     )
 
 
+def test_public_import_uses_package_layout():
+    """The public import should resolve through the dedicated package."""
+    assert JumpDiffusionEngine.__module__ == "jump_diffusion_engine.engine"
+
+
 # ---------------------------------------------------------------------------
 # find_fixed_points
 # ---------------------------------------------------------------------------