{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Filtro pasabajos pasivo de segundo orden\n",
    "<img src=\"./img/logo_UTN.svg\" align=\"right\" width=\"150\" /> \n",
    "\n",
    "#### Por Mariano Llamedo Soria"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resumen \n",
    "En este documento se presenta un ejemplo de **análisis numérico y circuital** para un filtro pasabajo simple de segundo orden. \n",
    "\n",
    "Se usarán algunas funciones de PyTC2 para realizar los cálculos y presentar los resultados.\n",
    "\n",
    "* Análisis de la respuesta en frecuencia: [analyze_sys](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/sistemas_lineales/index.html#pytc2.sistemas_lineales.analyze_sys), [bodePlot](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/sistemas_lineales/index.html#pytc2.sistemas_lineales.bodePlot), [pzmap](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/sistemas_lineales/index.html#pytc2.sistemas_lineales.pzmap), [pretty_print_bicuad_omegayq](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/sistemas_lineales/index.html#pytc2.sistemas_lineales.pretty_print_bicuad_omegayq), [GroupDelay](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/sistemas_lineales/index.html#pytc2.sistemas_lineales.GroupDelay)\n",
    "* De presentación algebraica: [print_latex](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/general/index.html#pytc2.general.print_latex), [a_equal_b_latex_s](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/general/index.html#pytc2.general.a_equal_b_latex_s)\n",
    "* Dibujo de redes: [dibujar_elemento_derivacion](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/dibujar/index.html#pytc2.dibujar.dibujar_elemento_derivacion), [dibujar_puerto_entrada](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/dibujar/index.html#pytc2.dibujar.dibujar_puerto_entrada),  [dibujar_espacio_derivacion](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/dibujar/index.html#pytc2.dibujar.dibujar_espacio_derivacion), [dibujar_elemento_serie](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/dibujar/index.html#pytc2.dibujar.dibujar_elemento_serie),  [dibujar_puerto_salida](https://pytc2.readthedocs.io/en/latest/autoapi/pytc2/dibujar/index.html#pytc2.dibujar.dibujar_puerto_salida)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introducción\n",
    "\n",
    "Comencemos con un ejemplo simple: un pasabajos de 2do orden pasivo como seguramente habrás visto en TC1:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"./img/lpf_pasivo.png\" alt=\"Circuito RLC pasabajo\" width=\"500px\" style=\"display: block; margin: 0 auto;\">\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "es decir, la transferencia de tensión del circuito definida de la forma\n",
    "\n",
    "\\begin{equation}\n",
    "H(s) = \\frac{V_2}{V_1} = \\frac{R(s)}{E(s)} = \\frac{\\frac{1}{LC}}{s^2 + s. \\frac{1}{RC} + \\frac{1}{LC}}\n",
    "\\end{equation}\n",
    "\n",
    "se comporta como filtro pasabajos de 2do orden.\n",
    "\n",
    "Entonces se entiende como **sección de segundo orden** (SOS por sus siglas en inglés) a un sistema lineal cuya transferencia $H(s)$ está definida por un cociente de polinomios, $E$ y $R$ en este caso, y al menos el denominador $E$ sea  de **segundo orden**. Para el caso concreto de un filtro pasabajo como el que se analiza, la función transferencia está definida por un polinomio denominador de segundo orden, y un numerador definido por una constante, es decir de orden 0. Para los polinomios de segundo orden se adoptará\n",
    "\n",
    "* que sean *mónicos*, es decir el coeficiente de mayor orden valga 1.\n",
    "* y los demás coeficientes se definirán en función de los parámetros $\\omega_0$ y $Q$,\n",
    "\n",
    "que se explican a continuación. Sea un polinomio \n",
    "\n",
    "$$ P(s) = a.s^2 + b.s + c, $$\n",
    "\n",
    "se prefiere presentarlo como \n",
    "\n",
    "$$ P(s) = a.( s^2 + \\frac{b}{a}.s + \\frac{c}{a}) $$\n",
    "\n",
    "ó ya parametrizado \n",
    "\n",
    "$$ P(s) = a.( s^2 +  \\frac{\\omega_0}{Q} . s + \\omega_0^2) $$\n",
    "\n",
    " donde $\\omega_0^2 = \\frac{c}{a}$ y $Q = \\sqrt{\\frac{a.c}{b^2}}$. Esta parametrización tiene gran utilidad dado que $\\omega_0$ es la pulsación natural de oscilación del circuito resonante, y $Q$ es el valor que tiene la transferencia H(s) para $s = j\\omega_0$. Como $Q$ *por lo general* es mayor a $\\frac{\\sqrt{2}}{2}$, también se interpreta a $Q$ como el realce del filtro, en el contexto de un filtro pasabajos (o pasa-altos). Ver el notebook anterior de [parametrización $\\omega_0$ y $Q$](ejnb_parametrizacion_pasabanda.ipynb) para mayores detalles.\n",
    "\n",
    "Las SOS son de gran utilidad, dado que junto con las funciones transferencia de primer orden permiten implementar sistemas de orden arbitrariamente grande. Es decir que un sistema de orden arbitrario puede representarse como una factorización (o cascada) de tantos SOS como corresponda y, eventualmente, si el orden fuera impar, de un sistema de primer orden. Volviendo a las SOS's tenemos que la transferencia desnormalizada $H_d(s)$ será\n",
    "\n",
    "$$ H_d(s) = \\frac{k.\\omega_0^2}{s^2+s\\frac{\\omega_0}{Q}+\\omega_0^2}. $$\n",
    "\n",
    " Luego adoptando como norma de frecuencia $\\omega_0$, es decir haciendo $H(s) = H_d(s)\\Big\\vert_{s = s.\\omega_0}\n",
    " $ obtenemos la versión normalizada en frecuencia\n",
    "\n",
    "$$ H(s) = \\frac{k}{s^2+s\\frac{1}{Q}+1} $$\n",
    "\n",
    "quedando como único parámetro $Q$, dado que ahora $\\omega_0 = 1$. Para quien lea esta explicación y le interese el tema, podría analizar qué valores de L y C aseguran que el filtro pasabajo pasivo tenga una transferencia normalizada\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hecha esta introducción teórica se realizan los gráficos de la respuesta en frecuencia de módulo y fase para $\\omega_0 = 1$ y $Q = \\frac{\\sqrt{2}}{2}$, junto con el diagrama de polos y ceros. Éstos análisis reciben el nombre de *simulación numérica* de la respuesta en frecuencia de circuitos, o simplemente de ahora en adelante **simulación numérica**.\n",
    "\n",
    "La simulación numérica consiste en simular el comportamiento de las expresiones matemáticas que modelan el comportamiento de un circuito, utilizando las capacidades de cálculo que brindan los módulos **Numpy** y **SciPy**. \n",
    "\n",
    "En el caso de este ejemplo, nos centraremos en analizar el comportamiento de la función *módulo*, *fase* y *retardo* de $H(s)$.\n",
    "\n",
    "Todas las simulaciones comienzan con la inicialización y configuración de módulos numéricos y gráficos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Módulos externos\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "# módulo de SciPy\n",
    "from scipy import signal as sig\n",
    "\n",
    "# Esta parte de código la agregamos SOLO en los notebooks para fijar el estilo de los gráficos.\n",
    "fig_sz_x = 13\n",
    "fig_sz_y = 7\n",
    "fig_dpi = 80 # dpi\n",
    "fig_font_size = 13\n",
    "\n",
    "mpl.rcParams['figure.figsize'] = (fig_sz_x, fig_sz_y)\n",
    "mpl.rcParams['figure.dpi'] = fig_dpi\n",
    "plt.rcParams.update({'font.size':fig_font_size})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ahora importamos las funciones de **PyTC2**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "from pytc2.sistemas_lineales import analyze_sys, bodePlot, pzmap, pretty_print_bicuad_omegayq\n",
    "from pytc2.general import print_latex, a_equal_b_latex_s\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Luego se procede a la simulación propiamente dicha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TransferFunctionContinuous(\n",
       "array([1.]),\n",
       "array([1.        , 1.41421356, 1.        ]),\n",
       "dt: None\n",
       ")"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Comienzo de la simulación\n",
    "\n",
    "Q = np.sqrt(2)/2\n",
    "w0 = 1\n",
    "\n",
    "# Cargamos la funcion transferencia como vectores de sus coeficientes.\n",
    "\n",
    "num = np.array([ w0**2 ])\n",
    "den = np.array([ 1., w0 / Q, w0**2 ])\n",
    "\n",
    "H1 = sig.TransferFunction( num, den )\n",
    "\n",
    "# mostramos la transferencia construida\n",
    "display(H1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como se puede observar, luego de cargar el objeto *TransferFunction*, no es fácil volver a identificar los parámetros $\\omega_0 = 1$ y $Q = \\frac{\\sqrt{2}}{2}$ que lo originaron. Para ello se utilizará una función creada para tal fin de poder manifestar dicha parametrización:\n",
    "\n",
    "\\begin{equation}\n",
    "H_d(s) = \\frac{1 . \\omega_0^2}{s^2+s\\frac{\\omega_0}{Q}+\\omega_0^2}.\n",
    "\\end{equation}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\displaystyle \\frac{  1^2}{s^2 + s \\frac{  1}{0.7071} +   1^2}$"
      ],
      "text/plain": [
       "<IPython.core.display.Math object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/latex": [
       "$\\displaystyle H_d(s)=\\frac{  1^2}{s^2 + s \\frac{  1}{0.7071} +   1^2}$"
      ],
      "text/plain": [
       "<IPython.core.display.Math object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pretty_print_bicuad_omegayq(num,den)\n",
    "\n",
    "# o un poco mejor, presentarlo como una ecuación:\n",
    "print_latex(a_equal_b_latex_s('H_d(s)', pretty_print_bicuad_omegayq(num, den, displaystr=False)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "De esta manera la comparación visual se ve facilitada. Continuando con el análisis realizamos la simulación numérica de $H(s)$ propiamente"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, <Axes: xlabel='$\\\\sigma$', ylabel='j$\\\\omega$'>)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1040x560 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1040x560 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, axes_hdl = bodePlot(H1)\n",
    "\n",
    "plt.sca(axes_hdl[0])\n",
    "\n",
    "pzmap(H1)\n",
    "\n",
    "# Otra forma de analizar el sistema H1, con una función\n",
    "# de más alto nivel. Podés probarlo si te interesa.\n",
    "# analyze_sys(H1, sys_name='mi ejemplo')\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "otra manera de llegar al mismo resultado, con un poco más de detalle es a través de la función *analyze_sys*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1040x560 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1040x560 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1040x560 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Otra forma de analizar el sistema H1, con una función\n",
    "# de más alto nivel. Podés probarlo si te interesa.\n",
    "\n",
    "# el caracter \"_\" descarta la salida de la función\n",
    "_ = analyze_sys([H1], sys_name='mi ejemplo')\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "ciertamente *analyze_sys* extiende el análisis de la respuesta en frecuencia al calcular el *retardo de grupo*; como también incorpora información al *diagrama de polos y ceros*, acerca del  $\\omega_0$ y $Q$ asociado a cada singularidad (polo o cero) o par de singularidades complejas conjugadas. Se sugiere el uso de *analyze_sys* y será la **función de referencia de ahora en adelante**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simulación Circuital\n",
    "\n",
    "La simulación circuital se realizará con el software gratuito [LTspice](https://www.analog.com/en/design-center/design-tools-and-calculators/ltspice-simulator.html). Para ello hay que dibujar el siguiente circuito:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"./img/SOS_pasabajo_simple_circ.png\" alt=\"Circuito RLC pasabajo\" width=\"600px\" style=\"display: block; margin: 0 auto;\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ejecutar el análisis de *AC sweep* configurado como se observa en la directiva *AC* visible en el circuito, e indicar que calcule la transferencia $V_2/V_1$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"./img/SOS_pasabajo_simple_resp_frec.png\" alt=\"Respuesta en frecuencia de un RLC pasabajo\" width=\"800px\" style=\"display: block; margin: 0 auto;\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como se puede observar, los resultados de la simulación circuital **coinciden** con la numérica. Recordar que en *LTspice* la respuesta en frecuencia es respecto a la frecuencia $f$, medida en (Hz), y no a la pulsación angular $\\omega$ medida en radianes por segundo. Su relación es $\\omega = 2.\\pi. f$, y en consecuencia 1 r/s se corresponde con $1/(2\\pi)$ Hz. \n",
    "\n",
    "Esto es evidencia suficiente para proceder a la siguiente instancia de diseño, que consiste en realizar un prototipo circuital, analizar las limitaciones prácticas de la implementación. Proceder al eventual rediseño, simulación y finalmente continuar con el diseño final y fabricación del circuito final."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Apéndice\n",
    "\n",
    "### Dibujo de circuitos\n",
    "\n",
    "Finalmente se presenta una alternativa para el dibujo de circuitos eléctricos a partir de la propia librería **pyTC2**, que actúa como intérprete del módulo [schemdraw](https://schemdraw.readthedocs.io/en/latest/). La idea es dibujar la red de izquierda a derecha secuencialmente desde el generador $V_i$ hasta el puerto de salida $V_o$:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       "  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"492.528pt\" height=\"177.86pt\" viewBox=\"0 0 492.528 177.86\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n",
       " <metadata>\n",
       "  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
       "   <cc:Work>\n",
       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
       "    <dc:date>2024-12-23T08:14:32.893243</dc:date>\n",
       "    <dc:format>image/svg+xml</dc:format>\n",
       "    <dc:creator>\n",
       "     <cc:Agent>\n",
       "      <dc:title>Matplotlib v3.7.5, https://matplotlib.org/</dc:title>\n",
       "     </cc:Agent>\n",
       "    </dc:creator>\n",
       "   </cc:Work>\n",
       "  </rdf:RDF>\n",
       " </metadata>\n",
       " <defs>\n",
       "  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
       "  <g id=\"patch_1\">\n",
       "   <path d=\"M 0 177.86 \n",
       "L 492.528 177.86 \n",
       "L 492.528 0 \n",
       "L 0 0 \n",
       "z\n",
       "\" style=\"fill: #ffffff\"/>\n",
       "  </g>\n",
       "  <g id=\"axes_1\">\n",
       "   <g id=\"patch_2\">\n",
       "    <path d=\"M 44.136 116.48 \n",
       "C 48.909656 116.48 53.488438 114.583406 56.863922 111.207922 \n",
       "C 60.239406 107.832438 62.136 103.253656 62.136 98.48 \n",
       "C 62.136 93.706344 60.239406 89.127562 56.863922 85.752078 \n",
       "C 53.488438 82.376594 48.909656 80.48 44.136 80.48 \n",
       "C 39.362344 80.48 34.783562 82.376594 31.408078 85.752078 \n",
       "C 28.032594 89.127562 26.136 93.706344 26.136 98.48 \n",
       "C 26.136 103.253656 28.032594 107.832438 31.408078 111.207922 \n",
       "C 34.783562 114.583406 39.362344 116.48 44.136 116.48 \n",
       "L 44.136 116.48 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_3\">\n",
       "    <path d=\"M 251.136 26.48 \n",
       "C 251.136 25.286984 250.661571 24.14161 249.817981 23.298019 \n",
       "C 248.97439 22.454429 247.829016 21.98 246.636 21.98 \n",
       "C 245.442984 21.98 244.29761 22.454429 243.454019 23.298019 \n",
       "C 242.610429 24.14161 242.136 25.286984 242.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_4\">\n",
       "    <path d=\"M 260.136 26.48 \n",
       "C 260.136 25.286984 259.661571 24.14161 258.817981 23.298019 \n",
       "C 257.97439 22.454429 256.829016 21.98 255.636 21.98 \n",
       "C 254.442984 21.98 253.29761 22.454429 252.454019 23.298019 \n",
       "C 251.610429 24.14161 251.136 25.286984 251.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_5\">\n",
       "    <path d=\"M 269.136 26.48 \n",
       "C 269.136 25.286984 268.661571 24.14161 267.817981 23.298019 \n",
       "C 266.97439 22.454429 265.829016 21.98 264.636 21.98 \n",
       "C 263.442984 21.98 262.29761 22.454429 261.454019 23.298019 \n",
       "C 260.610429 24.14161 260.136 25.286984 260.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_6\">\n",
       "    <path d=\"M 278.136 26.48 \n",
       "C 278.136 25.286984 277.661571 24.14161 276.817981 23.298019 \n",
       "C 275.97439 22.454429 274.829016 21.98 273.636 21.98 \n",
       "C 272.442984 21.98 271.29761 22.454429 270.454019 23.298019 \n",
       "C 269.610429 24.14161 269.136 25.286984 269.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_1\">\n",
       "    <path d=\"M 44.136 170.48 \n",
       "L 44.136 116.48 \n",
       "L 44.136 116.48 \n",
       "M 44.136 80.48 \n",
       "L 44.136 80.48 \n",
       "L 44.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_2\">\n",
       "    <path d=\"M 47.736 107.48 \n",
       "L 40.536 107.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_3\">\n",
       "    <path d=\"M 44.136 93.08 \n",
       "L 44.136 85.88 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_4\">\n",
       "    <path d=\"M 47.736 89.48 \n",
       "L 40.536 89.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_5\">\n",
       "    <path d=\"M 44.136 26.48 \n",
       "L 80.136 26.48 \n",
       "L 116.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_6\">\n",
       "    <path d=\"M 116.136 170.48 \n",
       "L 80.136 170.48 \n",
       "L 44.136 170.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_7\">\n",
       "    <path d=\"M 116.136 170.48 \n",
       "L 152.136 170.48 \n",
       "L 188.136 170.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_8\">\n",
       "    <path d=\"M 188.136 26.48 \n",
       "L 170.136 26.48 \n",
       "L 152.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_9\">\n",
       "    <path d=\"M 143.136 26.48 \n",
       "L 134.136 26.48 \n",
       "L 116.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_7\">\n",
       "    <path d=\"M 143.136 23.78 \n",
       "L 152.136 26.48 \n",
       "L 143.136 29.18 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_10\">\n",
       "    <path d=\"M 188.136 26.48 \n",
       "L 242.136 26.48 \n",
       "M 278.136 26.48 \n",
       "L 332.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_11\">\n",
       "    <path d=\"M 332.136 170.48 \n",
       "L 260.136 170.48 \n",
       "L 188.136 170.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_12\">\n",
       "    <path d=\"M 332.136 170.48 \n",
       "L 332.136 101.72 \n",
       "M 323.136 101.72 \n",
       "L 341.136 101.72 \n",
       "M 323.136 95.24 \n",
       "L 341.136 95.24 \n",
       "M 332.136 95.24 \n",
       "L 332.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_13\">\n",
       "    <path d=\"M 332.136 26.48 \n",
       "L 368.136 26.48 \n",
       "L 404.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_14\">\n",
       "    <path d=\"M 404.136 170.48 \n",
       "L 368.136 170.48 \n",
       "L 332.136 170.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_15\">\n",
       "    <path d=\"M 404.136 170.48 \n",
       "L 404.136 116.48 \n",
       "L 395.136 113.48 \n",
       "L 413.136 107.48 \n",
       "L 395.136 101.48 \n",
       "L 413.136 95.48 \n",
       "L 395.136 89.48 \n",
       "L 413.136 83.48 \n",
       "L 404.136 80.48 \n",
       "L 404.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_16\">\n",
       "    <path d=\"M 404.136 26.48 \n",
       "L 440.136 26.48 \n",
       "L 476.136 26.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"line2d_17\">\n",
       "    <path d=\"M 476.136 170.48 \n",
       "L 440.136 170.48 \n",
       "L 404.136 170.48 \n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linecap: round\"/>\n",
       "   </g>\n",
       "   <g id=\"text_1\">\n",
       "    <!-- $V_i$ -->\n",
       "    <g transform=\"translate(7.976 102.895) scale(0.16 -0.16)\">\n",
       "     <defs>\n",
       "      <path id=\"DejaVuSans-Oblique-56\" d=\"M 1319 0 \n",
       "L 500 4666 \n",
       "L 1119 4666 \n",
       "L 1797 653 \n",
       "L 4063 4666 \n",
       "L 4750 4666 \n",
       "L 2053 0 \n",
       "L 1319 0 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "      <path id=\"DejaVuSans-Oblique-69\" d=\"M 1172 4863 \n",
       "L 1747 4863 \n",
       "L 1606 4134 \n",
       "L 1031 4134 \n",
       "L 1172 4863 \n",
       "z\n",
       "M 909 3500 \n",
       "L 1484 3500 \n",
       "L 800 0 \n",
       "L 225 0 \n",
       "L 909 3500 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-56\" transform=\"translate(0 0.09375)\"/>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-69\" transform=\"translate(68.408203 -16.3125) scale(0.7)\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_2\">\n",
       "    <!-- + -->\n",
       "    <g transform=\"translate(109.43225 66.895) scale(0.16 -0.16)\">\n",
       "     <defs>\n",
       "      <path id=\"DejaVuSans-2b\" d=\"M 2944 4013 \n",
       "L 2944 2272 \n",
       "L 4684 2272 \n",
       "L 4684 1741 \n",
       "L 2944 1741 \n",
       "L 2944 0 \n",
       "L 2419 0 \n",
       "L 2419 1741 \n",
       "L 678 1741 \n",
       "L 678 2272 \n",
       "L 2419 2272 \n",
       "L 2419 4013 \n",
       "L 2944 4013 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-2b\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_3\">\n",
       "    <!-- $V_i$ -->\n",
       "    <g transform=\"translate(108.856 102.895) scale(0.16 -0.16)\">\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-56\" transform=\"translate(0 0.09375)\"/>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-69\" transform=\"translate(68.408203 -16.3125) scale(0.7)\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_4\">\n",
       "    <!-- - -->\n",
       "    <g transform=\"translate(113.24975 138.895) scale(0.16 -0.16)\">\n",
       "     <defs>\n",
       "      <path id=\"DejaVuSans-2d\" d=\"M 313 2009 \n",
       "L 1997 2009 \n",
       "L 1997 1497 \n",
       "L 313 1497 \n",
       "L 313 2009 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-2d\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_5\">\n",
       "    <!-- $I_i$ -->\n",
       "    <g transform=\"translate(129.976 14.1525) scale(0.16 -0.16)\">\n",
       "     <defs>\n",
       "      <path id=\"DejaVuSans-Oblique-49\" d=\"M 1081 4666 \n",
       "L 1716 4666 \n",
       "L 806 0 \n",
       "L 172 0 \n",
       "L 1081 4666 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-49\" transform=\"translate(0 0.09375)\"/>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-69\" transform=\"translate(29.492188 -16.3125) scale(0.7)\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_6\">\n",
       "    <!-- $L1$ -->\n",
       "    <g transform=\"translate(250.536 15.052522) scale(0.16 -0.16)\">\n",
       "     <defs>\n",
       "      <path id=\"DejaVuSans-Oblique-4c\" d=\"M 1075 4666 \n",
       "L 1709 4666 \n",
       "L 909 525 \n",
       "L 3181 525 \n",
       "L 3078 0 \n",
       "L 172 0 \n",
       "L 1075 4666 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "      <path id=\"DejaVuSans-31\" d=\"M 794 531 \n",
       "L 1825 531 \n",
       "L 1825 4091 \n",
       "L 703 3866 \n",
       "L 703 4441 \n",
       "L 1819 4666 \n",
       "L 2450 4666 \n",
       "L 2450 531 \n",
       "L 3481 531 \n",
       "L 3481 0 \n",
       "L 794 0 \n",
       "L 794 531 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-4c\" transform=\"translate(0 0.09375)\"/>\n",
       "     <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(55.712891 0.09375)\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_7\">\n",
       "    <!-- $C1$ -->\n",
       "    <g transform=\"translate(298.096 102.895) scale(0.16 -0.16)\">\n",
       "     <defs>\n",
       "      <path id=\"DejaVuSans-Oblique-43\" d=\"M 4447 4306 \n",
       "L 4319 3641 \n",
       "Q 4019 3944 3683 4091 \n",
       "Q 3347 4238 2956 4238 \n",
       "Q 2422 4238 2017 3981 \n",
       "Q 1613 3725 1319 3200 \n",
       "Q 1131 2863 1032 2486 \n",
       "Q 934 2109 934 1728 \n",
       "Q 934 1091 1264 756 \n",
       "Q 1594 422 2222 422 \n",
       "Q 2656 422 3056 561 \n",
       "Q 3456 700 3834 978 \n",
       "L 3688 231 \n",
       "Q 3316 72 2936 -9 \n",
       "Q 2556 -91 2175 -91 \n",
       "Q 1278 -91 773 396 \n",
       "Q 269 884 269 1753 \n",
       "Q 269 2309 461 2846 \n",
       "Q 653 3384 1013 3828 \n",
       "Q 1394 4300 1883 4525 \n",
       "Q 2372 4750 3022 4750 \n",
       "Q 3422 4750 3780 4639 \n",
       "Q 4138 4528 4447 4306 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-43\" transform=\"translate(0 0.78125)\"/>\n",
       "     <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(69.824219 0.78125)\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_8\">\n",
       "    <!-- $R1$ -->\n",
       "    <g transform=\"translate(370.096 102.895) scale(0.16 -0.16)\">\n",
       "     <defs>\n",
       "      <path id=\"DejaVuSans-Oblique-52\" d=\"M 1613 4147 \n",
       "L 1294 2491 \n",
       "L 2106 2491 \n",
       "Q 2584 2491 2879 2755 \n",
       "Q 3175 3019 3175 3444 \n",
       "Q 3175 3784 2976 3965 \n",
       "Q 2778 4147 2406 4147 \n",
       "L 1613 4147 \n",
       "z\n",
       "M 2772 2241 \n",
       "Q 2972 2194 3105 2009 \n",
       "Q 3238 1825 3413 1275 \n",
       "L 3809 0 \n",
       "L 3144 0 \n",
       "L 2778 1197 \n",
       "Q 2638 1659 2453 1815 \n",
       "Q 2269 1972 1888 1972 \n",
       "L 1191 1972 \n",
       "L 806 0 \n",
       "L 172 0 \n",
       "L 1081 4666 \n",
       "L 2503 4666 \n",
       "Q 3150 4666 3495 4373 \n",
       "Q 3841 4081 3841 3531 \n",
       "Q 3841 3044 3547 2687 \n",
       "Q 3253 2331 2772 2241 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-52\" transform=\"translate(0 0.09375)\"/>\n",
       "     <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(69.482422 0.09375)\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_9\">\n",
       "    <!-- + -->\n",
       "    <g transform=\"translate(469.43225 66.895) scale(0.16 -0.16)\">\n",
       "     <use xlink:href=\"#DejaVuSans-2b\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_10\">\n",
       "    <!-- $V_o$ -->\n",
       "    <g transform=\"translate(467.016 102.895) scale(0.16 -0.16)\">\n",
       "     <defs>\n",
       "      <path id=\"DejaVuSans-Oblique-6f\" d=\"M 1625 -91 \n",
       "Q 1009 -91 651 289 \n",
       "Q 294 669 294 1325 \n",
       "Q 294 1706 417 2101 \n",
       "Q 541 2497 738 2766 \n",
       "Q 1047 3184 1428 3384 \n",
       "Q 1809 3584 2291 3584 \n",
       "Q 2888 3584 3255 3212 \n",
       "Q 3622 2841 3622 2241 \n",
       "Q 3622 1825 3500 1412 \n",
       "Q 3378 1000 3181 728 \n",
       "Q 2875 309 2494 109 \n",
       "Q 2113 -91 1625 -91 \n",
       "z\n",
       "M 891 1344 \n",
       "Q 891 869 1089 633 \n",
       "Q 1288 397 1691 397 \n",
       "Q 2269 397 2648 901 \n",
       "Q 3028 1406 3028 2181 \n",
       "Q 3028 2634 2825 2865 \n",
       "Q 2622 3097 2228 3097 \n",
       "Q 1903 3097 1650 2945 \n",
       "Q 1397 2794 1197 2484 \n",
       "Q 1050 2253 970 1956 \n",
       "Q 891 1659 891 1344 \n",
       "z\n",
       "\" transform=\"scale(0.015625)\"/>\n",
       "     </defs>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-56\" transform=\"translate(0 0.09375)\"/>\n",
       "     <use xlink:href=\"#DejaVuSans-Oblique-6f\" transform=\"translate(68.408203 -16.3125) scale(0.7)\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"text_11\">\n",
       "    <!-- - -->\n",
       "    <g transform=\"translate(473.24975 138.895) scale(0.16 -0.16)\">\n",
       "     <use xlink:href=\"#DejaVuSans-2d\"/>\n",
       "    </g>\n",
       "   </g>\n",
       "   <g id=\"patch_8\">\n",
       "    <path d=\"M 116.136 29.18 \n",
       "C 116.852048 29.18 117.538866 28.895511 118.045188 28.389188 \n",
       "C 118.551511 27.882866 118.836 27.196048 118.836 26.48 \n",
       "C 118.836 25.763952 118.551511 25.077134 118.045188 24.570812 \n",
       "C 117.538866 24.064489 116.852048 23.78 116.136 23.78 \n",
       "C 115.419952 23.78 114.733134 24.064489 114.226812 24.570812 \n",
       "C 113.720489 25.077134 113.436 25.763952 113.436 26.48 \n",
       "C 113.436 27.196048 113.720489 27.882866 114.226812 28.389188 \n",
       "C 114.733134 28.895511 115.419952 29.18 116.136 29.18 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_9\">\n",
       "    <path d=\"M 116.136 173.18 \n",
       "C 116.852048 173.18 117.538866 172.895511 118.045188 172.389188 \n",
       "C 118.551511 171.882866 118.836 171.196048 118.836 170.48 \n",
       "C 118.836 169.763952 118.551511 169.077134 118.045188 168.570812 \n",
       "C 117.538866 168.064489 116.852048 167.78 116.136 167.78 \n",
       "C 115.419952 167.78 114.733134 168.064489 114.226812 168.570812 \n",
       "C 113.720489 169.077134 113.436 169.763952 113.436 170.48 \n",
       "C 113.436 171.196048 113.720489 171.882866 114.226812 172.389188 \n",
       "C 114.733134 172.895511 115.419952 173.18 116.136 173.18 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_10\">\n",
       "    <path d=\"M 332.136 173.18 \n",
       "C 332.852048 173.18 333.538866 172.895511 334.045188 172.389188 \n",
       "C 334.551511 171.882866 334.836 171.196048 334.836 170.48 \n",
       "C 334.836 169.763952 334.551511 169.077134 334.045188 168.570812 \n",
       "C 333.538866 168.064489 332.852048 167.78 332.136 167.78 \n",
       "C 331.419952 167.78 330.733134 168.064489 330.226812 168.570812 \n",
       "C 329.720489 169.077134 329.436 169.763952 329.436 170.48 \n",
       "C 329.436 171.196048 329.720489 171.882866 330.226812 172.389188 \n",
       "C 330.733134 172.895511 331.419952 173.18 332.136 173.18 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_11\">\n",
       "    <path d=\"M 332.136 29.18 \n",
       "C 332.852048 29.18 333.538866 28.895511 334.045188 28.389188 \n",
       "C 334.551511 27.882866 334.836 27.196048 334.836 26.48 \n",
       "C 334.836 25.763952 334.551511 25.077134 334.045188 24.570812 \n",
       "C 333.538866 24.064489 332.852048 23.78 332.136 23.78 \n",
       "C 331.419952 23.78 330.733134 24.064489 330.226812 24.570812 \n",
       "C 329.720489 25.077134 329.436 25.763952 329.436 26.48 \n",
       "C 329.436 27.196048 329.720489 27.882866 330.226812 28.389188 \n",
       "C 330.733134 28.895511 331.419952 29.18 332.136 29.18 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_12\">\n",
       "    <path d=\"M 404.136 173.18 \n",
       "C 404.852048 173.18 405.538866 172.895511 406.045188 172.389188 \n",
       "C 406.551511 171.882866 406.836 171.196048 406.836 170.48 \n",
       "C 406.836 169.763952 406.551511 169.077134 406.045188 168.570812 \n",
       "C 405.538866 168.064489 404.852048 167.78 404.136 167.78 \n",
       "C 403.419952 167.78 402.733134 168.064489 402.226812 168.570812 \n",
       "C 401.720489 169.077134 401.436 169.763952 401.436 170.48 \n",
       "C 401.436 171.196048 401.720489 171.882866 402.226812 172.389188 \n",
       "C 402.733134 172.895511 403.419952 173.18 404.136 173.18 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_13\">\n",
       "    <path d=\"M 404.136 29.18 \n",
       "C 404.852048 29.18 405.538866 28.895511 406.045188 28.389188 \n",
       "C 406.551511 27.882866 406.836 27.196048 406.836 26.48 \n",
       "C 406.836 25.763952 406.551511 25.077134 406.045188 24.570812 \n",
       "C 405.538866 24.064489 404.852048 23.78 404.136 23.78 \n",
       "C 403.419952 23.78 402.733134 24.064489 402.226812 24.570812 \n",
       "C 401.720489 25.077134 401.436 25.763952 401.436 26.48 \n",
       "C 401.436 27.196048 401.720489 27.882866 402.226812 28.389188 \n",
       "C 402.733134 28.895511 403.419952 29.18 404.136 29.18 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_14\">\n",
       "    <path d=\"M 476.136 29.18 \n",
       "C 476.852048 29.18 477.538866 28.895511 478.045188 28.389188 \n",
       "C 478.551511 27.882866 478.836 27.196048 478.836 26.48 \n",
       "C 478.836 25.763952 478.551511 25.077134 478.045188 24.570812 \n",
       "C 477.538866 24.064489 476.852048 23.78 476.136 23.78 \n",
       "C 475.419952 23.78 474.733134 24.064489 474.226812 24.570812 \n",
       "C 473.720489 25.077134 473.436 25.763952 473.436 26.48 \n",
       "C 473.436 27.196048 473.720489 27.882866 474.226812 28.389188 \n",
       "C 474.733134 28.895511 475.419952 29.18 476.136 29.18 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "   <g id=\"patch_15\">\n",
       "    <path d=\"M 476.136 173.18 \n",
       "C 476.852048 173.18 477.538866 172.895511 478.045188 172.389188 \n",
       "C 478.551511 171.882866 478.836 171.196048 478.836 170.48 \n",
       "C 478.836 169.763952 478.551511 169.077134 478.045188 168.570812 \n",
       "C 477.538866 168.064489 476.852048 167.78 476.136 167.78 \n",
       "C 475.419952 167.78 474.733134 168.064489 474.226812 168.570812 \n",
       "C 473.720489 169.077134 473.436 169.763952 473.436 170.48 \n",
       "C 473.436 171.196048 473.720489 171.882866 474.226812 172.389188 \n",
       "C 474.733134 172.895511 475.419952 173.18 476.136 173.18 \n",
       "z\n",
       "\" clip-path=\"url(#p4d201f6d3f)\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2; stroke-linejoin: miter\"/>\n",
       "   </g>\n",
       "  </g>\n",
       " </g>\n",
       " <defs>\n",
       "  <clipPath id=\"p4d201f6d3f\">\n",
       "   <rect x=\"0\" y=\"0\" width=\"492.528\" height=\"177.86\"/>\n",
       "  </clipPath>\n",
       " </defs>\n",
       "</svg>\n"
      ],
      "text/plain": [
       "<schemdraw.schemdraw.Drawing at 0x72e39dd0cd30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from schemdraw import Drawing\n",
    "from pytc2.dibujar import dibujar_espacio_derivacion, dibujar_elemento_serie, dibujar_elemento_derivacion, dibujar_puerto_salida, dibujar_puerto_entrada\n",
    "from pytc2.general import to_latex\n",
    "\n",
    "d = Drawing(unit=4)\n",
    "d = dibujar_elemento_derivacion(d, \"V\",  with_nodes=False, sym_label=\"V_i\")\n",
    "d = dibujar_espacio_derivacion(d)\n",
    "d = dibujar_puerto_entrada(d, voltage_lbl=('+', to_latex('V_i'), '-'), current_lbl=to_latex('I_i'))\n",
    "d = dibujar_elemento_serie(d, \"L\", sym_label=\"L1\")\n",
    "d = dibujar_elemento_derivacion(d, \"C\", sym_label=\"C1\")\n",
    "d = dibujar_espacio_derivacion(d)\n",
    "d = dibujar_elemento_derivacion(d, \"R\", sym_label=\"R1\")\n",
    "d = dibujar_puerto_salida(d, voltage_lbl=('+', to_latex('V_o'), '-'))\n",
    "display(d)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}