Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .venv/lib/python3.14/site-packages/sympy/plotting/tests/test_utils.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 3.6 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/sympy/plotting/tests/test_utils.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/sympy/plotting/tests/test_utils.py
-
curl -L -o test_utils.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/sympy/plotting/tests/test_utils.py
3.6 kB
| from pytest import raises | |
| from sympy import ( | |
| symbols, Expr, Tuple, Integer, cos, solveset, FiniteSet, ImageSet) | |
| from sympy.plotting.utils import ( | |
| _create_ranges, _plot_sympify, extract_solution) | |
| from sympy.physics.mechanics import ReferenceFrame, Vector as MechVector | |
| from sympy.vector import CoordSys3D, Vector | |
| def test_plot_sympify(): | |
| x, y = symbols("x, y") | |
| # argument is already sympified | |
| args = x + y | |
| r = _plot_sympify(args) | |
| assert r == args | |
| # one argument needs to be sympified | |
| args = (x + y, 1) | |
| r = _plot_sympify(args) | |
| assert isinstance(r, (list, tuple, Tuple)) and len(r) == 2 | |
| assert isinstance(r[0], Expr) | |
| assert isinstance(r[1], Integer) | |
| # string and dict should not be sympified | |
| args = (x + y, (x, 0, 1), "str", 1, {1: 1, 2: 2.0}) | |
| r = _plot_sympify(args) | |
| assert isinstance(r, (list, tuple, Tuple)) and len(r) == 5 | |
| assert isinstance(r[0], Expr) | |
| assert isinstance(r[1], Tuple) | |
| assert isinstance(r[2], str) | |
| assert isinstance(r[3], Integer) | |
| assert isinstance(r[4], dict) and isinstance(r[4][1], int) and isinstance(r[4][2], float) | |
| # nested arguments containing strings | |
| args = ((x + y, (y, 0, 1), "a"), (x + 1, (x, 0, 1), "$f_{1}$")) | |
| r = _plot_sympify(args) | |
| assert isinstance(r, (list, tuple, Tuple)) and len(r) == 2 | |
| assert isinstance(r[0], Tuple) | |
| assert isinstance(r[0][1], Tuple) | |
| assert isinstance(r[0][1][1], Integer) | |
| assert isinstance(r[0][2], str) | |
| assert isinstance(r[1], Tuple) | |
| assert isinstance(r[1][1], Tuple) | |
| assert isinstance(r[1][1][1], Integer) | |
| assert isinstance(r[1][2], str) | |
| # vectors from sympy.physics.vectors module are not sympified | |
| # vectors from sympy.vectors are sympified | |
| # in both cases, no error should be raised | |
| R = ReferenceFrame("R") | |
| v1 = 2 * R.x + R.y | |
| C = CoordSys3D("C") | |
| v2 = 2 * C.i + C.j | |
| args = (v1, v2) | |
| r = _plot_sympify(args) | |
| assert isinstance(r, (list, tuple, Tuple)) and len(r) == 2 | |
| assert isinstance(v1, MechVector) | |
| assert isinstance(v2, Vector) | |
| def test_create_ranges(): | |
| x, y = symbols("x, y") | |
| # user don't provide any range -> return a default range | |
| r = _create_ranges({x}, [], 1) | |
| assert isinstance(r, (list, tuple, Tuple)) and len(r) == 1 | |
| assert isinstance(r[0], (Tuple, tuple)) | |
| assert r[0] == (x, -10, 10) | |
| r = _create_ranges({x, y}, [], 2) | |
| assert isinstance(r, (list, tuple, Tuple)) and len(r) == 2 | |
| assert isinstance(r[0], (Tuple, tuple)) | |
| assert isinstance(r[1], (Tuple, tuple)) | |
| assert r[0] == (x, -10, 10) or (y, -10, 10) | |
| assert r[1] == (y, -10, 10) or (x, -10, 10) | |
| assert r[0] != r[1] | |
| # not enough ranges provided by the user -> create default ranges | |
| r = _create_ranges( | |
| {x, y}, | |
| [ | |
| (x, 0, 1), | |
| ], | |
| 2, | |
| ) | |
| assert isinstance(r, (list, tuple, Tuple)) and len(r) == 2 | |
| assert isinstance(r[0], (Tuple, tuple)) | |
| assert isinstance(r[1], (Tuple, tuple)) | |
| assert r[0] == (x, 0, 1) or (y, -10, 10) | |
| assert r[1] == (y, -10, 10) or (x, 0, 1) | |
| assert r[0] != r[1] | |
| # too many free symbols | |
| raises(ValueError, lambda: _create_ranges({x, y}, [], 1)) | |
| raises(ValueError, lambda: _create_ranges({x, y}, [(x, 0, 5), (y, 0, 1)], 1)) | |
| def test_extract_solution(): | |
| x = symbols("x") | |
| sol = solveset(cos(10 * x)) | |
| assert sol.has(ImageSet) | |
| res = extract_solution(sol) | |
| assert len(res) == 20 | |
| assert isinstance(res, FiniteSet) | |
| res = extract_solution(sol, 20) | |
| assert len(res) == 40 | |
| assert isinstance(res, FiniteSet) | |