diff --git a/README.md b/README.md index 83d2c8c..61db0a5 100644 --- a/README.md +++ b/README.md @@ -16,21 +16,22 @@ Our code is released under the MIT license (refer to the [LICENSE](https://githu ## Requirements -To run the library you need atleast Python 3.5. +To run the library you need at least Python 3.5. Other dependencies: -- NumPy (1.19.5) -- SciPy (1.6.0) +- NumPy +- SciPy ## Installation - Install from source: git clone this repo and from the root folder execute the command ```pip install .``` +- Install with modern Python tooling: ```uv sync``` (requires [uv](https://github.com/astral-sh/uv)) ## Usage/Examples You can import the library by typing ```python import vrft``` in your code. -To learn how to use the library, check the examples located in the examples/ folder. At the moment there are examples available. +To learn how to use the library, check the examples located in the examples/ folder. At the moment there are examples available. Check example3 to see usage of instrumental variables. In general the code has the following structure @@ -73,7 +74,7 @@ theta, _, _, C = compute_vrft(data, ref_model, control, pre_filter) To execute tests run the following command from the root folder of the repo ```sh python -m unittest -``` +``` ## Changelog @@ -97,4 +98,3 @@ If you find this code useful in your research, please, consider citing it: >} [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) - diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..1d7625a --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,43 @@ +[build-system] +requires = ["setuptools>=61.0", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "pythonvrft" +version = "0.0.7" +description = "VRFT Python Library" +readme = "README.md" +keywords = ["VRFT", "Virtual Reference Feedback Tuning", "Data Driven Control", "Adaptive Control"] +classifiers = [ + "Programming Language :: Python :: 3", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent", + "Development Status :: 3 - Alpha", + "Topic :: Scientific/Engineering", +] +requires-python = ">=3.5" +dependencies = [ + "scipy", + "numpy", +] + +[[project.authors]] +name = "Alessio Russo" +email = "alessior@kth.se" + +[project.urls] +Homepage = "https://github.com/rssalessio/PythonVRFT/" + +[project.license] +text = "GPL3" + +[project.optional-dependencies] +test = ["pytest"] + +[dependency-groups] +dev = [ + "pytest" +] + +[tool.setuptools.packages.find] +include = ["vrft", "test"] diff --git a/setup.py b/setup.py deleted file mode 100644 index e88c33e..0000000 --- a/setup.py +++ /dev/null @@ -1,35 +0,0 @@ -from setuptools import setup -from os import path -this_directory = path.abspath(path.dirname(__file__)) -with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f: - long_description = f.read() - - -setup(name = 'pythonvrft', - version = '0.0.6', - description = 'VRFT Python Library', - long_description = long_description, - long_description_content_type = 'text/markdown', - keywords = ['VRFT', 'Virtual Reference Feedback Tuning', - 'Data Driven Control', 'Adaptive Control'], - url = 'https://github.com/rssalessio/PythonVRFT/', - author = 'Alessio Russo', - author_email = 'alessior@kth.se', - license='GPL3', - packages=['vrft', 'test'], - zip_safe=False, - install_requires = [ - 'scipy', - 'numpy', - ], - test_suite = 'nose.collector', - test_requires = ['nose'], - classifiers=[ - "Programming Language :: Python :: 3", - "License :: OSI Approved :: MIT License", - "Operating System :: OS Independent", - "Development Status :: 3 - Alpha", - "Topic :: Scientific/Engineering" - ], - python_requires='>=3.5', -) diff --git a/test/test_utils.py b/test/test_utils.py index 72836d7..c80ddb9 100644 --- a/test/test_utils.py +++ b/test/test_utils.py @@ -33,7 +33,7 @@ def test_deconvolve(self): data = iddata(y, u, t_step, [0]) r1, _ = virtual_reference(data, sys.num, sys.den) r2 = deconvolve_signal(sys, data.y) - self.assertTrue(np.linalg.norm(r2-r1[:r2.size], np.infty) < 1e-3) + self.assertTrue(np.linalg.norm(r2-r1[:r2.size], np.inf) < 1e-3) def test_check_system(self): diff --git a/test/test_vrft.py b/test/test_vrft.py index 41486a7..35a6ce7 100644 --- a/test/test_vrft.py +++ b/test/test_vrft.py @@ -27,7 +27,7 @@ def test_vrft(self): expected_theta = np.array([1.93220784, -1.05808206, 1.26623764, 0.0088772]) expected_loss = 0.00064687904235295 - + for t_end in t_ends: t = np.arange(t_start, t_end, t_step) u = np.ones(len(t)).tolist() @@ -50,12 +50,12 @@ def test_vrft(self): theta1, _, loss1, _ = compute_vrft(data, refModel, control, prefilter) theta2, _, loss2, _ = compute_vrft([data], refModel, control, prefilter) theta3, _, loss3, _ = compute_vrft([data, data], refModel, control, prefilter) - + self.assertTrue(np.isclose(loss1, loss2)) self.assertTrue(np.isclose(loss1, loss3)) self.assertTrue(np.linalg.norm(theta1-theta2)<1e-15) 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scipy.signal._ltisys import TransferFunctionDiscrete, TransferFunction as TransFun from numpy import polymul, polyadd -class ExtendedTF(scipysig.ltisys.TransferFunctionDiscrete): +class ExtendedTF(TransferFunctionDiscrete): """ Extended definition of the discrete transfer function implemented in scipy.signal. Supports arithmetical operations between transfer function and feedback loop @@ -110,5 +109,3 @@ def feedback(self): __rmul__ = __mul__ __radd__ = __add__ - -