diff --git a/docs/jupyter_execute/583464dcd637a3c7b04a4ee20469622e9348e9f3331feb3203f592387b7b3565.png b/docs/jupyter_execute/583464dcd637a3c7b04a4ee20469622e9348e9f3331feb3203f592387b7b3565.png new file mode 100644 index 0000000..4d58bda Binary files /dev/null and b/docs/jupyter_execute/583464dcd637a3c7b04a4ee20469622e9348e9f3331feb3203f592387b7b3565.png differ diff --git a/docs/jupyter_execute/examples/ramping.ipynb b/docs/jupyter_execute/examples/ramping.ipynb index 9012c26..9b50f8d 100644 --- a/docs/jupyter_execute/examples/ramping.ipynb +++ b/docs/jupyter_execute/examples/ramping.ipynb @@ -117,14 +117,6 @@ "execution_count": 4, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\crandall\\Documents\\thevenin\\src\\thevenin\\loadfns\\_ramps.py:97: RuntimeWarning: overflow encountered in exp\n", - " sigmoid = 1. / (1. + np.exp(-self._sharpness*(linear - self._step)))\n" - ] - }, { "data": { "image/png": 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", @@ -150,7 +142,7 @@ "dynamic_load = thev.loadfns.Ramp2Constant(20*75/1e-3, 20*75)\n", "\n", "expr = thev.Experiment()\n", - "expr.add_step('current_A', dynamic_load, (180., 0.5), limits=('voltage_V', 3.))\n", + "expr.add_step('current_A', dynamic_load, (360., 0.5), limits=('voltage_V', 3.))\n", "\n", "soln = model.run(expr)\n", "soln.plot('time_s', 'current_A')\n", @@ -174,7 +166,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -185,7 +177,7 @@ ], "source": [ "expr = thev.Experiment()\n", - "expr.add_step('current_A', 75*20, (180., 75), limits=('voltage_V', 3.))\n", + "expr.add_step('current_A', 75*20, (180., 50), limits=('voltage_V', 3.))\n", "\n", "soln2 = model.run(expr)\n", "\n", diff --git a/docs/jupyter_execute/user_guide/basic_tutorial.ipynb b/docs/jupyter_execute/user_guide/basic_tutorial.ipynb index 66ef272..843e6f7 100644 --- a/docs/jupyter_execute/user_guide/basic_tutorial.ipynb +++ b/docs/jupyter_execute/user_guide/basic_tutorial.ipynb @@ -162,7 +162,7 @@ "output_type": "stream", "text": [ "CycleSolution(\n", - " solvetime=0.006 s,\n", + " solvetime=0.011 s,\n", " success=[True, True],\n", " status=[2, 1],\n", " nfev=[257, 69],\n", diff --git a/docs/source/examples/ramping.ipynb b/docs/source/examples/ramping.ipynb index 8decb85..8b5a6a7 100644 --- a/docs/source/examples/ramping.ipynb +++ b/docs/source/examples/ramping.ipynb @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -125,7 +125,7 @@ "outputs": [], "source": [ "expr = thev.Experiment()\n", - "expr.add_step('current_A', 75*20, (180., 75), limits=('voltage_V', 3.))\n", + "expr.add_step('current_A', 75*20, (180., 50), limits=('voltage_V', 3.))\n", "\n", "soln2 = model.run(expr)\n", "\n", @@ -168,7 +168,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.9" + "version": "3.12.7" } }, "nbformat": 4, diff --git a/src/thevenin/__init__.py b/src/thevenin/__init__.py index d946b75..11ab9a2 100644 --- a/src/thevenin/__init__.py +++ b/src/thevenin/__init__.py @@ -27,7 +27,7 @@ from . import loadfns from . import plotutils -__version__ = '0.2.0.dev' +__version__ = '0.1.2' __all__ = [ 'IDASolver', diff --git a/src/thevenin/loadfns/_ramps.py b/src/thevenin/loadfns/_ramps.py index d9ed1fa..a3d757e 100644 --- a/src/thevenin/loadfns/_ramps.py +++ b/src/thevenin/loadfns/_ramps.py @@ -94,6 +94,8 @@ def __repr__(self) -> str: # pragma: no cover def __call__(self, t: float) -> float: linear = self._m*t + self._b - sigmoid = 1. / (1. + np.exp(-self._sharpness*(linear - self._step))) + + z = self._sharpness*(linear - self._step) + sigmoid = 1. / (1. + np.exp(-np.clip(z, -700, None))) return (1. - sigmoid)*linear + sigmoid*self._step