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/pygletplot/plot_modes.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 5.35 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/sympy/plotting/pygletplot/plot_modes.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/sympy/plotting/pygletplot/plot_modes.py
-
curl -L -o plot_modes.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/sympy/plotting/pygletplot/plot_modes.py
5.35 kB
| from sympy.utilities.lambdify import lambdify | |
| from sympy.core.numbers import pi | |
| from sympy.functions import sin, cos | |
| from sympy.plotting.pygletplot.plot_curve import PlotCurve | |
| from sympy.plotting.pygletplot.plot_surface import PlotSurface | |
| from math import sin as p_sin | |
| from math import cos as p_cos | |
| def float_vec3(f): | |
| def inner(*args): | |
| v = f(*args) | |
| return float(v[0]), float(v[1]), float(v[2]) | |
| return inner | |
| class Cartesian2D(PlotCurve): | |
| i_vars, d_vars = 'x', 'y' | |
| intervals = [[-5, 5, 100]] | |
| aliases = ['cartesian'] | |
| is_default = True | |
| def _get_sympy_evaluator(self): | |
| fy = self.d_vars[0] | |
| x = self.t_interval.v | |
| def e(_x): | |
| return (_x, fy.subs(x, _x), 0.0) | |
| return e | |
| def _get_lambda_evaluator(self): | |
| fy = self.d_vars[0] | |
| x = self.t_interval.v | |
| return lambdify([x], [x, fy, 0.0]) | |
| class Cartesian3D(PlotSurface): | |
| i_vars, d_vars = 'xy', 'z' | |
| intervals = [[-1, 1, 40], [-1, 1, 40]] | |
| aliases = ['cartesian', 'monge'] | |
| is_default = True | |
| def _get_sympy_evaluator(self): | |
| fz = self.d_vars[0] | |
| x = self.u_interval.v | |
| y = self.v_interval.v | |
| def e(_x, _y): | |
| return (_x, _y, fz.subs(x, _x).subs(y, _y)) | |
| return e | |
| def _get_lambda_evaluator(self): | |
| fz = self.d_vars[0] | |
| x = self.u_interval.v | |
| y = self.v_interval.v | |
| return lambdify([x, y], [x, y, fz]) | |
| class ParametricCurve2D(PlotCurve): | |
| i_vars, d_vars = 't', 'xy' | |
| intervals = [[0, 2*pi, 100]] | |
| aliases = ['parametric'] | |
| is_default = True | |
| def _get_sympy_evaluator(self): | |
| fx, fy = self.d_vars | |
| t = self.t_interval.v | |
| def e(_t): | |
| return (fx.subs(t, _t), fy.subs(t, _t), 0.0) | |
| return e | |
| def _get_lambda_evaluator(self): | |
| fx, fy = self.d_vars | |
| t = self.t_interval.v | |
| return lambdify([t], [fx, fy, 0.0]) | |
| class ParametricCurve3D(PlotCurve): | |
| i_vars, d_vars = 't', 'xyz' | |
| intervals = [[0, 2*pi, 100]] | |
| aliases = ['parametric'] | |
| is_default = True | |
| def _get_sympy_evaluator(self): | |
| fx, fy, fz = self.d_vars | |
| t = self.t_interval.v | |
| def e(_t): | |
| return (fx.subs(t, _t), fy.subs(t, _t), fz.subs(t, _t)) | |
| return e | |
| def _get_lambda_evaluator(self): | |
| fx, fy, fz = self.d_vars | |
| t = self.t_interval.v | |
| return lambdify([t], [fx, fy, fz]) | |
| class ParametricSurface(PlotSurface): | |
| i_vars, d_vars = 'uv', 'xyz' | |
| intervals = [[-1, 1, 40], [-1, 1, 40]] | |
| aliases = ['parametric'] | |
| is_default = True | |
| def _get_sympy_evaluator(self): | |
| fx, fy, fz = self.d_vars | |
| u = self.u_interval.v | |
| v = self.v_interval.v | |
| def e(_u, _v): | |
| return (fx.subs(u, _u).subs(v, _v), | |
| fy.subs(u, _u).subs(v, _v), | |
| fz.subs(u, _u).subs(v, _v)) | |
| return e | |
| def _get_lambda_evaluator(self): | |
| fx, fy, fz = self.d_vars | |
| u = self.u_interval.v | |
| v = self.v_interval.v | |
| return lambdify([u, v], [fx, fy, fz]) | |
| class Polar(PlotCurve): | |
| i_vars, d_vars = 't', 'r' | |
| intervals = [[0, 2*pi, 100]] | |
| aliases = ['polar'] | |
| is_default = False | |
| def _get_sympy_evaluator(self): | |
| fr = self.d_vars[0] | |
| t = self.t_interval.v | |
| def e(_t): | |
| _r = float(fr.subs(t, _t)) | |
| return (_r*p_cos(_t), _r*p_sin(_t), 0.0) | |
| return e | |
| def _get_lambda_evaluator(self): | |
| fr = self.d_vars[0] | |
| t = self.t_interval.v | |
| fx, fy = fr*cos(t), fr*sin(t) | |
| return lambdify([t], [fx, fy, 0.0]) | |
| class Cylindrical(PlotSurface): | |
| i_vars, d_vars = 'th', 'r' | |
| intervals = [[0, 2*pi, 40], [-1, 1, 20]] | |
| aliases = ['cylindrical', 'polar'] | |
| is_default = False | |
| def _get_sympy_evaluator(self): | |
| fr = self.d_vars[0] | |
| t = self.u_interval.v | |
| h = self.v_interval.v | |
| def e(_t, _h): | |
| _r = float(fr.subs(t, _t).subs(h, _h)) | |
| return (_r*p_cos(_t), _r*p_sin(_t), _h) | |
| return e | |
| def _get_lambda_evaluator(self): | |
| fr = self.d_vars[0] | |
| t = self.u_interval.v | |
| h = self.v_interval.v | |
| fx, fy = fr*cos(t), fr*sin(t) | |
| return lambdify([t, h], [fx, fy, h]) | |
| class Spherical(PlotSurface): | |
| i_vars, d_vars = 'tp', 'r' | |
| intervals = [[0, 2*pi, 40], [0, pi, 20]] | |
| aliases = ['spherical'] | |
| is_default = False | |
| def _get_sympy_evaluator(self): | |
| fr = self.d_vars[0] | |
| t = self.u_interval.v | |
| p = self.v_interval.v | |
| def e(_t, _p): | |
| _r = float(fr.subs(t, _t).subs(p, _p)) | |
| return (_r*p_cos(_t)*p_sin(_p), | |
| _r*p_sin(_t)*p_sin(_p), | |
| _r*p_cos(_p)) | |
| return e | |
| def _get_lambda_evaluator(self): | |
| fr = self.d_vars[0] | |
| t = self.u_interval.v | |
| p = self.v_interval.v | |
| fx = fr * cos(t) * sin(p) | |
| fy = fr * sin(t) * sin(p) | |
| fz = fr * cos(p) | |
| return lambdify([t, p], [fx, fy, fz]) | |
| Cartesian2D._register() | |
| Cartesian3D._register() | |
| ParametricCurve2D._register() | |
| ParametricCurve3D._register() | |
| ParametricSurface._register() | |
| Polar._register() | |
| Cylindrical._register() | |
| Spherical._register() | |