{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# A ParameterWithSetpoints Example with Dual Setpoints\n", "\n", "This notebook explains how you can account for dual setpoints using `ParameterWithSetpoints`. The basics of writing drivers using `ParameterWithSetpoints` is covered in the notebook named [Simple Example of ParameterWithSetpoints](../Parameters/Simple-Example-of-ParameterWithSetpoints.ipynb).\n", "\n", "In this example we consider a dummy instrument that can return a time trace or the discreet Fourier transform (magnitude square) of that trace. The setpoints are accounted for in an easy way." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from typing import TYPE_CHECKING\n", "\n", "if TYPE_CHECKING:\n", " from typing_extensions import Unpack\n", "import os\n", "\n", "import numpy as np\n", "\n", "import qcodes.validators as vals\n", "from qcodes.dataset import (\n", " Measurement,\n", " initialise_or_create_database_at,\n", " load_or_create_experiment,\n", " plot_dataset,\n", ")\n", "from qcodes.instrument import Instrument, InstrumentBaseKWArgs\n", "from qcodes.parameters import Parameter, ParameterWithSetpoints" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def timetrace(npts: int, dt: float) -> np.ndarray:\n", " \"\"\"\n", " A very realistic-looking signal\n", " \"\"\"\n", " # freq = 10/(dt*npts)\n", " # decay = 1/(dt*npts)\n", " freq = 10\n", " decay = 1\n", " time = np.linspace(0, npts * dt, npts, endpoint=False)\n", " signal = np.exp(-decay * time) * np.sin(2 * np.pi * freq * time)\n", " noise = 0.1 * np.random.randn(npts)\n", " return signal + noise" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "class TimeTrace(ParameterWithSetpoints):\n", " def get_raw(self):\n", " npts = self.root_instrument.npts()\n", " dt = self.root_instrument.dt()\n", "\n", " return timetrace(npts, dt)\n", "\n", "\n", "class Periodogram(ParameterWithSetpoints):\n", " def get_raw(self):\n", " tt = self.root_instrument.trace()\n", "\n", " return np.abs(np.fft.fft(tt)) ** 2\n", "\n", "\n", "class TimeAxis(Parameter):\n", " def get_raw(self):\n", " npts = self.root_instrument.npts()\n", " dt = self.root_instrument.dt()\n", " return np.linspace(0, dt * npts, npts, endpoint=False)\n", "\n", "\n", "class FrequencyAxis(Parameter):\n", " def get_raw(self):\n", " npts = self.root_instrument.npts()\n", " dt = self.root_instrument.dt()\n", "\n", " return np.linspace(0, 1 / dt, npts)\n", "\n", "\n", "class OzzyLowScope(Instrument):\n", " def __init__(self, name: str, **kwargs: \"Unpack[InstrumentBaseKWArgs]\"):\n", " super().__init__(name, **kwargs)\n", "\n", " self.npts = self.add_parameter(\n", " name=\"npts\",\n", " initial_value=500,\n", " label=\"Number of points\",\n", " get_cmd=None,\n", " set_cmd=None,\n", " )\n", "\n", " self.dt = self.add_parameter(\n", " name=\"dt\",\n", " initial_value=1e-3,\n", " label=\"Time resolution\",\n", " unit=\"s\",\n", " get_cmd=None,\n", " set_cmd=None,\n", " )\n", "\n", " self.time_axis = self.add_parameter(\n", " name=\"time_axis\",\n", " label=\"Time\",\n", " unit=\"s\",\n", " vals=vals.Arrays(shape=(self.npts,)),\n", " parameter_class=TimeAxis,\n", " )\n", "\n", " self.freq_axis = self.add_parameter(\n", " name=\"freq_axis\",\n", " label=\"Frequency\",\n", " unit=\"Hz\",\n", " vals=vals.Arrays(shape=(self.npts,)),\n", " parameter_class=FrequencyAxis,\n", " )\n", "\n", " self.trace = self.add_parameter(\n", " name=\"trace\",\n", " label=\"Signal\",\n", " unit=\"V\",\n", " vals=vals.Arrays(shape=(self.npts,)),\n", " setpoints=(self.time_axis,),\n", " parameter_class=TimeTrace,\n", " )\n", "\n", " self.periodogram = self.add_parameter(\n", " name=\"periodogram\",\n", " label=\"Periodogram\",\n", " unit=\"V^2/Hz\",\n", " vals=vals.Arrays(shape=(self.npts,)),\n", " setpoints=(self.freq_axis,),\n", " parameter_class=Periodogram,\n", " )" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "osc = OzzyLowScope(\"osc\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "tutorial_exp#no sample#1@C:\\Users\\Jens-Work\\source\\repos\\Qcodes\\docs\\examples\\writing_drivers\\tutorial_doND.db\n", "--------------------------------------------------------------------------------------------------------------\n", "1-results-1-osc_time_axis,osc_trace-1\n", "2-results-2-osc_time_axis,osc_trace-1\n", "3-results-3-osc_freq_axis,osc_periodogram-0" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tutorial_db_path = os.path.join(os.getcwd(), \"tutorial_doND.db\")\n", "initialise_or_create_database_at(tutorial_db_path)\n", "load_or_create_experiment(experiment_name=\"tutorial_exp\", sample_name=\"no sample\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Measurement 1: Time Trace" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Starting experimental run with id: 4. \n" ] } ], "source": [ "timemeas = Measurement()\n", "timemeas.register_parameter(osc.trace)\n", "\n", "osc.dt(0.001)\n", "\n", "with timemeas.run() as datasaver:\n", " datasaver.add_result((osc.trace, osc.trace.get()))\n", "\n", "dataset = datasaver.dataset" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "_ = plot_dataset(dataset)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Starting experimental run with id: 5. \n" ] } ], "source": [ "osc.dt(0.01) # make the trace 10 times longer\n", "\n", "with timemeas.run() as datasaver:\n", " datasaver.add_result((osc.trace, osc.trace.get()))\n", "\n", "dataset = datasaver.dataset" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "_ = plot_dataset(dataset)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Measurement 2: Periodogram" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Starting experimental run with id: 6. \n" ] } ], "source": [ "freqmeas = Measurement()\n", "freqmeas.register_parameter(osc.periodogram)\n", "\n", "osc.dt(0.01)\n", "\n", "with freqmeas.run() as datasaver:\n", " datasaver.add_result((osc.periodogram, osc.periodogram.get()))\n", "\n", "dataid = datasaver.dataset" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "axs, cbax = plot_dataset(dataset)\n", "aa = axs[0]\n", "aa.set_yscale(\"log\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Just for the fun of it, let's make a measurement with the averaged periodogram." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Starting experimental run with id: 7. \n" ] } ], "source": [ "no_of_avgs = 100\n", "\n", "with freqmeas.run() as datasaver:\n", " temp_per = osc.periodogram()\n", "\n", " for _ in range(no_of_avgs - 1):\n", " temp_per += osc.periodogram()\n", "\n", " datasaver.add_result(\n", " (osc.periodogram, temp_per / no_of_avgs), (osc.freq_axis, osc.freq_axis.get())\n", " )\n", "\n", "dataset = datasaver.dataset" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "axs, cbax = plot_dataset(dataset)\n", "aa = axs[0]\n", "aa.set_yscale(\"log\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Measurement 3: 2D Sweeping" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Starting experimental run with id: 8. \n" ] } ], "source": [ "meas = Measurement()\n", "meas.register_parameter(osc.npts)\n", "meas.register_parameter(osc.trace, setpoints=[osc.npts], paramtype=\"numeric\")\n", "\n", "with meas.run() as datasaver:\n", " osc.dt(0.001)\n", "\n", " for npts in [200, 400, 600, 800, 1000, 1200]:\n", " osc.npts(npts)\n", " datasaver.add_result((osc.trace, osc.trace.get()), (osc.npts, osc.npts()))\n", "\n", "dataset = datasaver.dataset" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAEcCAYAAAAlVNiEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAA0yklEQVR4nO2de5wdVZXvv79+J53OOzFACAESBARFjeBrFBQdRAe849zxAc6gXhkf6PU5V0fHB+MoPlBxREdEQGZU1NFRHEAYHRB8oCCCQHhDIAmPvNNJp5N+rftHVeNJc7pPVbpO6qw+6/v59KfPOVW163fqVO2199p7ryUzIwiCIGhuWsoWEARBEJRPGIMgCIIgjEEQBEEQxiAIgiAgjEEQBEFAGIMgCIKAMAYBIGm7pIPK1tEoSLpd0rEZ9zVJy+qrKDuSPiXpXWXrqAeSjpW0JuO+75D06Xprmkq4MQaSVknqTyuuRyVdJGnGXjjvWknTJL1I0g/HbDtK0nWStkpaI+kfc5R7kaSB9PuM/t1S/DeojZnNMLP79/Z509/0+Am2Z374s5aZBTN7ipldM5kyykDSAuBvgK+VraUB+DpwiqSFZQvxghtjkPIXZjYDOAp4OvDBep5M0v7ARjPrB54J3DRml28D1wJzgRcCb5N0Uo5TfCatiEf/nlaI8IxIatub52t0psD1OA24PL1fmxoz2wlcQWIcgwx4MwYAmNmjwJUkRqFqC7KyhSjpY5K+J+liSdtSN8CKDKdaAfy+4vVYY7AU+JaZDZvZfcAvgafs6feq0P5qSQ9Impm+f1naG1qQvjdJ75R0v6QNkj4rqaXi+DdKukPSZklXSjqgYptJeruke4B7Kj5blr6+SNJXJF2R9lZ+JWmRpC+m5d0p6ekV5e0r6QeS1qea31mxbdzrLunfgCXAT9Lz/P2Ya9BN8jDvW9Fz2jfV94mK/R7/7ccrU9JJ6bm3SLpG0mEVx6+S9P8k/RHok9Q25t45WtJv0mMfkfRlSR05f89OSZ+T9JCkxyT9q6Rp6bbLJZ1dse8lki5IX5+WXv8vp73POyW9eIJTvQz4xdhrI+m9ktal+t9QsX1W+tusl/SgpA9X3kdjvsPRkm6U1Jt+h89XbPt+en9ulXStpKdUbMt7P62S9EFJK9PtF0rqGkfTuPdeyjXAyye4XkElZubiD1gFHJ++XgzcCpyTvj8WWDPB/h8DdgInAq3Ap4DrJzjXR4Et6TE70tfDwNb0dWu63yeBs4B24MnAGuBZGb/PRcAnJtj+rXSfecDDwCsqthlwNUmPZAlwN/B/0m0nA/cChwFtwIeBX4859r/TY6dVfLasQtcGkp5QF/A/wAMkLaxW4BPA1em+LSTG8iNAB3AQcD/w51mue+VvNM41qPa77nbdxu4ztkzgEKAPeEn6O/19en06Kva/Gdi/4npU3jvPBJ6dXsulwB3Au8Zcz2U1fusvAJem17wH+AnwqXTbImAd8CLglPT69aTbTgOGgHen2l9Ncg/OHec866m4/9JrMwScmR5/Isn9PCfdfjHw41TTUpL76E3jlP0b4PXp6xnAsyu2vTEtoxP4InDzmN8r0/1Uce1vS3+PucCvRn/vyt+aGvdeus8zgE1l111e/koXkFlocpNsB7alD+DPgdljb5Ix+1cag59VbDsc6K9xvrb0wX8S8Fzgsir7PJekYhlKNX08x/e5iKSi3FLx982K7bOBh0iM3tfGHGvACRXv3wb8PH19ReUDnT40O4ADKo59UZXyKo3B1yu2vQO4o+L9kcCW9PUxwENjyvogcGGW687eMQb/CHxvzPVYCxxbsf8bx7t3qmh6F/Cf1a7dOPuLxBgdXPHZc4AHKt6/ClhNUmk+v+Lz00gaAqr47HeklXKVcw0Ch465Nv1AW8Vn60iMWyswABxese3vgGvGKfta4OPA/Br39ez0mszKez9VXPu3VLw/Ebhv7G9d695L3y8HhrM+k83+581N9Eoz6yG5KQ4F5uc49tGK1zuALlXxESsZFN4CbAaWAXeRtMKPTV0Ff5nuNxf4KUmrq4ukJfPnkt6WQ9PnzGx2xd/fjm4wsy3A94EjgLOrHLu64vWDwL7p6wOAc1KtW4BNJBXSfuMcW43HKl73V3k/OnB/AIkbZ0vF+f6BxICOkum615F9Sa4PAGY2QvL9M10PSYdI+q/UDdJL0hvMc98tAKYDv6+4Rj9NPx/lJySV811m9ssxx6+1tGZLqfytx7KZpIVeyUYzG6p4v4Pk95tP0lt4sGLbg+x+XSp5E0kv605JN0h6BYCkVklnSbovvT6r0v0rr1HW+2mU8e7tSrLcez0kPakgA96MAQBm9guSFsfn0o/6SB44ILlB2f1hy1P2zWY2G/hn4CPp65XA09IKe3RG0UEkrY6LzWzIzNYAl5C0ZCaNpKNIut/fAb5UZZf9K14vIWlBQvIg/d0YIzPNzH5d+TWL0Jie64Ex5+oxs6zXoJaOatt3+61J3CwTHfMwScUBgCSRXLu1GXV8FbgTWG5mM0kqHE0sezc2kFR4T6m4RrMsmQgxyj+T9EL3kfTaMcfvl2oepfK3HssfSSrsrLoGqbg2adlrq+1sZveY2WuBhcCngf9Ix3VeR+KaPB6YReJugnzXaCzj3duVZLn3DgNKmaHnEZfGIOWLwEskPY3E19kl6eWS2kn85J2TLP+ZwE3pYOG+ZnbvmO13k9Qtr5PUImkRiU/3j6M7KBmYPTbvidMBs38nqXjeQFIhjO1xvF/SHCUznv4v8N30838FPjg6iJcOEv7vvBoy8jtgWzoAOy1tJR4h6VkZj3+MxKhOtH2epFkVn90MnChpbnrN31WjzO8BL5f04vTeeC+wC/g12egBeoHtkg4F3prxOODxnsjXgS8oneYoaT9Jf56+fgHJb/w3wN8C/yKpsnW+EHinpPb0dzwMuHyc011OMqsti65hkmvzz5J6lEwyeA/JffcEJJ0qaUH6fbakH4+QXJ9dwEYSI/3JLOevwdslLU573x/iT/d2JVnuvReSuE2DDLg1Bma2nmQA7CNmtpXEb34+Scumj2QwdzKMTiU9kmRAa+z5e4G/JBnc20xSSd1GMiA2Oi11G4nPfzz+XruvM9iQfv4pYLWZfdXMdgGnAp+QtLzi2B+TDKDdDFwGfCPV9Z8kLbdL0m77bSSzTAonrVBeQTKr6wGS1ub5JC3ELHwK+HDazX9flfLvJOkZ3Z/usy/wbyStvVXAVTyxotitTDO7i+T6/Uuq7y9IpigPZNT4PpLW7zaSSr1axVSL/0cytnR9+pv8DHiyktliFwNnmNlaM7uO5He8sKI38FsS3/cGkh7EX5nZxnHOczGJoZyWUdc7SJ6V+0lmwn0buGCcfU8Abpe0HTgHeI0lU1gvJnHlrCXpQV+f8dwT8W2S3/Z+4D7SZ6qSWvde2qA6EfhmAXqaAu3ujgyKQtKpJK6BwtdCSDISt8XY3kowhZB0GskssefnOOaTwDoz+2K9dNUTSatIvvPPJlnOO4D9zezva+4cAMmMmaAOmFnV7nYQ1BMz+4eyNTQCZvYvZWvwhls3URA0EkoWtW2v8ndK2dqCIAvhJgqCIAiiZxAEQRCEMQiCIAhwOIA8f/58W7p0adkygqDpuHXdY7V3ajAGVq/ZYGZ7tAB1lD8/rts2bhrOtO/v/7jrSjM7YTLnKwt3xmDp0qXceOONZcsIgqbj0I99oWwJubnr4+95sPZeE7Nh0zC/vXJxpn3b97kvT6iShsKdMQiCoBxahmrvMzUxhm2kbBF1J4xBEATZmPr1YVUMGCKbm8gzYQyCIMhEy2DZCsrBMIabYAp+GIMgCDLRsb1sBeUxUlig38YljEEQBJnY0aSp5Q0YDmMQBEGQMpkMBc6JnkEQBEHK8GQzhDjFIMYMgiAIRhmc15xzSw1jMHoGQRAEKc3qJjIYnvq2IIxBEATZ6F7YV7aEUjCaY4lFGIMgCDLR19tVtoSSEMNN0C0KYxAEQSY6u7OmjZ5aGDASbqIgCIKEwV3NWV0YMNAE0f6b89cNgiDIwYiFmygIggCAkV2tZUsohWQFchiDIAiChJ3NagzEcEFuIkkXAK8A1pnZEYUUWhBhDIIgyETLwNRvHY9HgW6ii4AvAxcXVWBRhDEIgiATneun/iBqNYp0E5nZtZKWFlJYwYQxCIIgE607y1ZQDoYYtMxV5XxJlXl5zzOz8+ogq3DCGARBkImRjrIVlEeOnsEGM1tRTy31IoxBEASZ0NTP/FgVMzFsU99FFsYgCIJMNGsIa4CRmFoaBEGQMDC7CWIyVCEZQC5saul3gGNJxhbWAB81s28UUvgkCWMQBEEmZqye+q3j6hTnJjKz1xZSUB0IYxAEQSZ2zi1bQTkYMGhTf8FdGIMgCDIxMLc5R5CLXIHcyIQxCIIgE5o5WLaE0hiJ2URBEAQJLe3NkO/riRQ5gNzIhDEIgiATi+b2li0hN/cXUIYhhiOEdRAEQULfQHMuQTYjTzgKt5T+DRs5pGsQBH+ib0ezrjpTLDrbS1xEg4Z0DYLgT7S3D5UtoRQMIhzF3qCRQ7oGQfAnBgZKry5KIwaQgyCoCwd//vNlS8jNcFdX2RJKwVDkQG4UJJ0OnA6wZMmSktUEweRp3+avchme35xuIoieQcOQJoc4D2DFihXNGS0rmFIMTfd3G7duaNLZRCjCUQRBUB9m3eOvZ9C3T9kKysGIFch7hUYO6RoE9cJjQ7NrY9kKyqOoHMiNTOnGoJFDugZBvRgp/cnLT7MmtzFT9AyCIKgPHb3+xgx2LJz6rePxiHUGQRDUhf75/irW9r6yFZSDEWkvgyCoEwOzylaQn+HmXGaQzCYacTjIk5MwBkFQAiMOZ2k2gadkXGKdQRAEdaHlkG1lS8jN8L09ZUsohViBHARB3Rh8cEbZEnLTudxfPoOiGImeQRAE9WBk/kDZEnLTDK3japgRyW2CIKgPi/fZVLaE3PT2N+cIsiGGYgA5CIJ6MK9rR9kSctOm5syBDLECOQiCOrHykUVlS8jNQQs3lC2hFJLYRGEMgiCoA9On7SpbQm7W9/kb9C6GCEcRBEGd6N/pb6HB4K7mrS5iBXIQBHVhcKe/R2/EoeYiiNlEQRDUDdvh79Hr2OhPcxHEbKIgCOpGS5+/ymWk3V+k1aIIN1EQBHVhxkP+Khc1qS2I2URBENSNaRv91axDXVO/QhyPmE0UBEFdaBn0ZwyGZzWpMbAIVBcEQZ3oXeKvpTlrVXOuQI7kNkEQ1I22nWUryM/Wpf4MWBEYMDQy9b97GIMgKAGPYX48jnMURVFuIkknAOcArcD5ZnbWmO2nAZ8F1qYffdnMzi/k5DUIYxAEJdC3X9kK8mMtU99VUo2ikttIagXOBV4CrAFukHSpma0cs+t3zeyMSZ8wJ2EMgqAEPE5OGVncX7aE0ihozOBo4F4zux9A0iXAycBYY1AKYQyCoAR0YF/ZEnIz0t9etoRysFxuovmSbqx4f56ZnZe+3g9YXbFtDXBMlTJeJekFwN3Au81sdZV9CieMQRCUwMwZ/lrZmwcddmcKIOcA8gYzWzGJ0/0E+I6Z7ZL0d8A3gRdNorzMhDEIghLo3T6tbAm5mdHjcApUARQ1ZkAyKLx/xfvF/GmgODmX2caKt+cDnynixFkIYxAEJdDVOVi2hNx4DLtdFFaMMbgBWC7pQBIj8BrgdZU7SNrHzB5J354E3FHEibMQxiAISkAOA/3Mn7W9bAm5ubegcooYQDazIUlnAFeSTC29wMxul3QmcKOZXQq8U9JJwBCwCTht0ifOSF2NQYY5tUtIfGKz030+YGaX11NTEDQCB8zeXLaE3Dy0dXbZEkrB8g0g1yjLLgcuH/PZRypefxD4YCEny0ndjEHGObUfBr5nZl+VdDjJRVpaL01B0Cjc+oDDhQb9zetIKMhN1NDU89fNMqfWgJnp61nAw3XUEwQNg7b6m6Zps/yNcxSDGI5wFJMiy5zajwFXSXoH0A0cX60gSacDpwMsWbKkcKGBbw796BfKlpAbW+wvHkXbY805gBz5DPYOrwUuMrOzJT0H+DdJR5jZbk9KumjjPIAVK1b4G3kL6krrrrIV5KdjXdmPXn5ahspWUBKWjBtMdep5R9acUwu8CTgBwMx+I6kLmA+sq6OuYIrROlC2gvwM+Mt6iQ2XraA8IoT15Kg5pxZ4CHgxcJGkw4AuYH0dNQVTkOHOshXkp3tss8gBgzPKVlAORgwgT4qMc2rfC3xd0rtJrvlpZs3QIQsKxZ/7HXPYM5h7Z7N2DSLT2aTJMKd2JfC8emoIpj7TNvhrP4y0+6tchqb501wUIyNT/7v7G8UKgjEMzPT3oHZu9WfAtu879adXVsMs3ERB4AKPz2nvUn+iO7aUraA8wk0UBA4Y9hcAlI6tZSvIz2BP2QrKoxlGMsMYBO7pX+RvBNna/NUurf3N6SaCcBMFgQtan+QvUczMGf5yA2ze1F22hFIoMJ9BQxPGIHDPvvP8+Vy29neVLSE3HdObNDZRDCAHgQ/2mb6tbAm52bjdXyu7u8vhUu+i8OfVy00Yg8A92wf9BVDrbPcX6GdoOMYMpjJhDAL3bNo5vWwJuZnZ6W/M4OEts8qWUBqNPptI0mKSkD9/BuwL9AO3AZcBV4wN/lmNMAaBe3YM+MsN0DnNX89gwUx/aS/vKaCMRo9NJOlCkpQB/wV8miTQZxdwCEkg0A9J+oCZXTtROWEMAvfM7+4rW0Ju7r1vn7Il5KZjlsNY4UVgYI0djuJsM7utyue3AT+U1AHUTAQTxiBwz30r/aWQ1Ex/M3OG1/hzxxVGY7uJXiZpi5mtqbbRzAaAe2sVUtMYpDkGXkEVX5SZ3Z5LchDUgbbt/gY2R4b8DXq3b2vo1nEdUUO7iUjq5d9IWgV8B/i+meVOBTChMZD0cRJDcA3wW3b3RZ2VGor3mtkf8544CIrCY3Kb1oGGrlyq0uKvM1McDdwzMLN3S3oP8AKSQeR/lHQLiWH4oZllmntdq2fwOzP76DjbPi9pIRl8UUFQTzo3l60gP0MO4yl5zMFQCA4WnaV5YH4B/CLNI3M8cBbwVSCTf29CY2Bml439TFILMMPMes1sHZGiMiiZntX+YhN5DAc90swjjA1uDEaRdCRJ7+DVwAbgg1mPzfTzSvo28BZgmCSd5UxJ55jZZ/PLDYJiGe708aBW0rajbAX5ad/hz+gWRgO7iSQtJzEAryGpoy8BXmpm9+cpJ6utP9zMeiWdAlwBfAD4PRDGICidXQ6T28xc5c8B37+gibsGDWwMgJ+SjA+8epwpppnI+uu2S2oHXgl82cwGJTX25QmahiF/Md/Yvp+/hXJtO5v0kTca3U20vNYKY0mqlV8+qzH4GrAKuAW4VtIBQG/GY4OgrrQ5XAvVMuSvYu3bp6ErxLrS4OEo/kfSD4Afm9lDox+mi82eD/wtcDVw0USFZDIGZvYl4EsVJ3kIOC6/5iAonu2Ly1aQHzV2S7M6jV0h1pfG/u4nAG8EviPpQGALyRKAVuAq4Itm9odahdRaZ3Aq8O2xXZC0uzEk6WBgHzP75R59hSAoAI9ZwwZnD5ctITedjzTvmIEaOByFme0EvgJ8JXXnzwf6zWxLnnJq/brzgD9I+j3JgPF6EouzDHghydSlD+STHgTFMjTdnzHQTn9TS3ct8hdcrxCMRu8ZPI6ZDQKP7MmxtdYZnCPpy8CLgOcBTyUJR3EH8PpK/1QQlEaPv5k502f5C2HtMQfDg4WUokYfQC6Emv0+MxsG/jv9C4KGY8ECf3MZBkeadTmvU5z0DCZD8zoBgynDQbM3lS0hNw9tm122hNwcMjt37LPSqTlqmpUwBkHQ+PQOdpYtITdzu/wtQd4y4DCgUlE0sDGQtI3qCkUy32dmlnLqagwknQCcQzLF6XwzO6vKPn8NfIzky9xiZq+rp6Zg6tHSyE/qOBwy019Irz9sdDiHtwisuNlEWerEvJhZz6SFkT020ZOATwL7mtnLJB0OPMfMvjHBMa3AucBLgDXADZIuNbOVFfssJwmk9Dwz25xGQQ2CXKzp9Zeb16PmttaITTQZstSJRZDWo4+vy8860Sdrz+Ai4ELgQ+n7u4HvAuMaA+Bo4N7RYEmSLgFOBiq/+JuBc81scyraX3MpKJ0t6wppGO1VNOBvamnrHIdLvRuLLHXiHiPpJOBskmQ364ADSGZ+PiXL8VmNwXwz+56kDwKY2ZCkWqtm9gNWV7xfAxwzZp9DACT9iqTb9DEz++nYgiSdDpwOsGRJpE+oN4d/6AtlS8jHgQ6n/TmUPLTdXzylosgRiW2+pBsr3p9nZuelr7PUiZPhn4BnAz8zs6dLOg44NevBWY1Bn6R5pJ0lSc8GtuZVOs75lwPHAotJ4h4dOXblXHoxzwNYsWKFPwexM/oX+XIHTH/I3zyIYX9ZL0naa01K9nUGG8xsRT2lTMCgmW2U1CKpxcyulvTFrAdnfYreA1wKHJy24hcAf1XjmLXA/hXvF6efVbIG+G26au4BSXeTGIcbMuoK6sDM+/y5MLzR6m/NGf0LylZQEgYU0z7KUidOhi2SZgDXAt+StA7oy3pw1kB1N0l6IfBkkg7uXWkFPhE3AMvTwElrSRIvjJ0p9CPgtcCFkuaTuI1yJWQIiqf7EV89g4Eefz6XwRn+NHc/3Lyd8oIC9mepEyfDycBO4N3AKcAs4MysB2edTdQKnAgsTY95qSTM7PPjHZOOK5wBXEnSv7zAzG6XdCZwo5ldmm57qaSVJBl63m9mG7OKD+pD+3ZfQdSs1Z/7omuTL4MLsGOhv+tcGAUYg/HqxMmX/Hj5lb2Ab+Y9Pqub6CckFudWcnSYzOxy4PIxn32k4rWRuKDek7XMoP7seJIvH/z09b6Ml1c6e/0ZsMIoqFNUrU4sCkl/CXwaWEjiwanLorPFZvbUPZMYeKN9uy93wLbFvowXwKDDxbxz7/QXELAIZIW5ierNZ4C/MLM79uTgrE/RFZJeamZX7clJAl9sPNLXAPKM1bX3CSbPlmXNO7XUSdTSx/bUEEB2Y3A98J+SWoBBcnY/Al8Md/loBo0y1OXiQd0N89eZYbiJhwzkw0N2o6TvkkzMeXyFoJn9MMvBWW/JzwPPAW6tlVQ5CPY225b5eFK9oyF/RrcwfNR6M4EdwEsrPjOgUGOwGrgtDEFz4C1zmJNW226MdPsb9O58pEndRE7GDMzsDZM5PqsxuB+4RtIV7N79GHdqaeAXm+aropo+11846Pk9mdcCNQyPzmpir7ADYyDpS1U+3koylf/HtY7PagweSP860r9gCrPswEfLlpCLmR3+AqgNjfgapAdgdtkC8nNPUQU5MAYkkUoPBb6fvn8VSb39NEnHmdm7Jjo46wrkj09GYeCLg3t8rftbueVJZUvITY9DAzbPYUKeovDgJiLJUf+8NFUxkr4KXAc8n2SN2IRMaAwkfdnMzpD0E6rYRjM7aY8kBw1NZ4uvxOf7dfvLgbz/9M1lS8jNxoHpZUsoDx/GYA4wgz8FEe0G5prZsKSarY9aPYO/Ac4APjcpiYErHt3pyzfc4qTZVskDffPKlpCb3gF/6UULwckAMsmis5slXUMy/f8FwCcldQM/q3VwLWNwH4CZ/WKSIgNHbBnoqr1TA9HW4m860UOb55QtITetDq9zYTgwBmb2DUmXkyTRAfgHM3s4ff3+WsfXMgYLJI0bNyhmE01N7nvEV6zikUGHq6F2+RtAnr7A3wyowmhgYyDpUDO7U9Iz0o9G1+QvkrTIzG7KUk4tY9BK4oNq4tUmzYec/drmcDFUW68/A7azz5f7sChEw7uJ3kOSCfLsKtsMeFGWQmoZg0fMLHM87GBq0H6Xryhqnf4m5mD+bIFLzYVgjb2w0cxOT/8fN5lyahkDf02uYNJ0bipbQT4Gu8tWkJ9WjwasmWuDBu4ZSHoWsNrMHk3f/w3JGoMHSfLKZ3qiaxmDF09KZeCSrk0NfOdXocPfzFJ61gyULSE3W5c26WwiaGhjAHwNOB5A0guAs4B3AEeR5I6vlaIYqGEMslqUYGrRvqOB+8RV8NhiHZrmz+cyY21z5jOAhh8zaK2oq18NnGdmPwB+IOnmrIU4DKQb1JuBGb5mugx3+rMGM1f56xkMzPRnwAqjwY2BpDYzGyLx5pxesS1zHR/GIHgCPat9ObQ9trK3HugvxFfTpr00Gt0YfAf4haQNQD9JCAokLeNPq5FrEsYgeAK9znzDI63+egazHPYM+hc0aQhrGn420T9L+jmwD3BVRaqBFpKxg0yEMQiewM7ZzipXZ3IBNhzpr2fQyBVivWnwMQPM7Poqn92dp4wwBsET6FvS4Hf+GOQr/QLgM+1l13qHVrcofD0Se4TDWzKoN95agN5yNoO/BEIAO6Y3qTFo/DGDQghjEDyBnif7Cq88rd3flMctfb5WeTczwqUnMjdhDIInsP/MLWVLyEVHq79W9iGz15ctITfbh3xNLAC4s6iComcQNCNLu32tNdy3y1dPBuB3mw8sW0JuDp6xoWwJpeHNdbonhDEInsCws07xVY8eVraE3Dx3/gNlS8hN71ATu7aiZzA5JJ0AnEMSCvt8MztrnP1eBfwH8Cwzu7GemoLabB309dAvmr6tbAm5uXnL4rIl5GbhNH/XuRD8ZDqbFHUzBpJagXOBlwBrgBskXWpmK8fs1wP8X+C39dIS5KPXWaazh7f7i7Pf6rB22ersvigUfz9XburZMzgauNfM7geQdAlwMrByzH7/BHyaDGnZgr3DNme5bncO+FsZu3OnP83NjEPbnZt6GoP9+FP6NUh6B8dU7pCmadvfzC6TNK4xkHQ6afClJUuW1EFq/TjoC/4yg450LipbQi7a+nwF1gMYmjdUtoTcyGFGuaKIAeQ6IqkF+DxwWq19zew8krjcrFixwpWN7nnA3wO0a56vwG/tDvMZtDrsGQz76jAWRyw6mzRrgf0r3i9OPxulBzgCuEZJ0t1FwKWSTppSg8j+bAGdzmZqjvjrGDBjde19Go1tB5StoETCGEyKG4Dlkg4kMQKvAV43utHMtgLzR99LugZ435QyBEDnVn930XC7LwvWtsvfNR7s9nWNAWbf4+86F4GIMYNJYWZDks4AriSZWnqBmd0u6UzgRjO7tF7nDiZH92O+/NkdW/yFgx7q9ucmamrCGEwOM7scuHzMZx8ZZ99j66mlLDq2+Rt50pCvO79lwF84iv4DfK3lAJi2wVcjoUhkxT4TSnzj5wAnAjuA08zspir7XUOSp6A//eilZrauUDEpsQK5zrT1+auods731WqV+Zv/rhFfBhfA2vy5tgrB6jKb6GXA8vTvGOCrjJltWcEpe8N9HsagznjMDtW1xZcBG+z2N4Lcsd1fj3HnbF+zzAqleNt9MnBxmpXsekmzJe1jZo8UfqaMhDGoM71L/bWmdm32dVt4nAPe6nDQe2iav3u5KOowgFxtHdZ+QDVjcKGkYeAHwCcq0loWiq+n3iGtvnLLAzDszOvi8Rr3HuyvYh2Y5dDqFkX26ne+pEqXznnpOqk95RQzW5uG7fkB8Hrg4kmUNy5hDOpM39N2li0hNzbirKLy18ima4a/GVALp/u7lx8sopB8geo2mNmKahskvR14c/r2BiZeh5Wc2mxt+n+bpG+ThPkJY+CRjmn+snAdNH9j2RJy8XCvv0B1Mzr9GYOBoeYcMxDFuCLN7FyS4J1IejlwRhqz7Rhg69jxAkltwGwz2yCpHXgF8LPJK6lOGIM6461iBegf9DXoPWdaf+2dGowtO/1NLX3uPv5yMBQ2Bad4N/3lJNNK7yWZWvqG0Q2Sbjazo4BO4MrUELSSGIKvFy1klDAGdWaZw+xQB03zlZLx5m37196pwXj2glVlS8hNV4u/Xm5RFD2AnA4Cv32cbUel//uAZxZ75vEJY1BnPKZkbHE2PefInjVlS8jNrhFfvS+Am7f6M7qFEIHqgiLYONhTtoTcrB72VVF5y8wGcNycwlK17zVescBXbmxI0icWgbP20R4RxqDOXP3wsrIl5GZRt6/0hrM7/Y0ZXLHhyLIl5GZmu7/rDL8pppjoGQSTZcvW7rIl5Gbjel+zc/bbx1+LdXDY38ycA2Y2QY1YDfMZPiQvYQyCJ6AWX33iR9bPKltCbkZ2+Xv01j3m7zoXRYSwDiZN6/3+/NnD3laaOpMLMG29v3hKTZvpDMJNFEyemff7u4s07GsFcv98X3oBzJ8toPthf/dyEURym6AQOrf4a7b2HuDLnz33bn9x9rcv8vfoNe0yA7N6LDprOPzdkc7ofmhH2RJyM2193Bb1ZsGa7WVLyE3vIb4mFhRJ9AyCSbP9QH+ziXru91VRbT/A3zVmQUfZCnLjMex2UcQ6g2DSdG7258LYdtCMsiXkoq3f35Pqccyga4O/4HqFYEBMLQ0my9B0f099/3xfmtv7/A0gtzvMdObRgBXG1LcFYQzqTZ/DgcKd88pWkI/2vrIV5Kd/nq9BeoCdc6eXLSE/1xVTTIwZBJNm++KyFeSnzdmY96anlK0gP/LnPWRgocPpREUFfI7ZRMFkGen0dxPtWOzroW/p9Xcbj3T7cxNh/txxhWAxgBwUwPJjCkm8t1fxljls50xfUVYBpnX6MrgA/bv8XeciSBad+WvU5SWMQZ2Z3eEv0uO6Vl+ziWZM21W2hNwcMsdXAiGATbv8jRncXVRB0TMIJsuybn8PvTeePnN12RJyc++OhWVLyM2xc+4qW0JuriqonOgZBJPmgE5/aS/nt/vKZ/DIwOyyJeTmkO5Hy5aQm9mtzmYWFEVkOps8kk4AziFJ5ny+mZ01Zvt7gP8DDAHrgTeamT8n+wTc3b+obAm5md/uawXygZ3+el+PDfoLB/2L/ieXLWEPuLGAMiI20aSQ1AqcC7wEWAPcIOlSM1tZsdsfgBVmtkPSW4HPAK+ul6YyuHXrvmVLyM1z5j5QtoRc/Hz908uWkJtjFxTmzd5r3LS+SXMgE8ltJsvRwL1mdj+ApEuAk4HHjYGZXV2x//XAqXXUUwoeB5B/9NBTy5aQiznT/LkvrnjE3+KI/Xq2li2hHGJq6aTZD6gc2VsDHDPB/m8CrqhV6G2PPsayz3xhktL2HiOLl5YtITcj231NIdwyw98sl5Ehf7EdVrfMLVtCeYSbaO8g6VRgBfDCcbafDpwO0DZnDtbq54dpW+Uv09lQt5/rC9D+aEPcxrkwf9EoGO7ydV8UShN89Xo+RWuBSifj4vSz3ZB0PPAh4IVmVnXCuJmdB5wH0L1gf5tzR/Fi64XDGYTuMp1Nf6xsBfnxmChmqMvXfVEkMbV0ctwALJd0IIkReA3wusodJD0d+Bpwgpmty1Jo6y5j5oN+Qul2P+LPHTA0zZfmth3+HLptO/wFJ+o9sKtsCeURxmDPMbMhSWcAV5JMLb3AzG6XdCZwo5ldCnwWmAF8XxLAQ2Z20kTlatcgnff4aQruOvhJZUvITeuAr8rV1Lwt1r3J3Nt8rT8pCpmh4TAGk8LMLgcuH/PZRypeH5+70NZWRub4iZ3TtsOfP6D1oUydtIZhZB9nMbedMtLla2JBoUTPoPGwVjHc4ydl4PA0d5cYOatcrc2XWwtAQ756X0BTZPsalzAGjYe1iMEePy2UzYf40TrKrFW+prp47MK3b/c3ZtAMM2qqYkSgukZkpE3snOtHdsc2f09Q/1xfLe2W4bIV5MdjBrwZa/25PIsiZhM1ICMdsG1/PwOGQ/7WQ7mb9uhNL4C5e/Kg90B/vdzdRyz3FIORqd81cHdLjnQZOw7xM7WUHb5cLgD0+HJhaIu/Smqk2193pqXP4b1cBEaMGTQibe3DLFzkJ0bK9HZHhitl55CvyrVvlp8JBaMMDPmrWDsX+GokFMrU7xj4MwadrUMcPNtPjoAtA/7CUezT3Vu2hCnPftP8NGhGuWWzvwi8txZUTowZNCDTWwd46sw1ZcvIzFaHgwZvmvvrsiXk4r+2HVG2hNzMcpgopk3+XFs/K6qggo2BpEOBC4FnAB8ys88VeoI9wJ0xENDu6KY8pMtfRqtvbHpu2RJyMb3FnyvOIyfNuqlsCbn5dBGFGPVYY7EJeCfwyqIL3lPcGYMha2HzYHfZMjIzYr6maQIs6/IT7gNg/VBP2RJys7hjY9kScnNT/9KyJewBRSRqKn42URqLbZ2klxda8CRwZwxaNcKsNj8JYzYN+TFco9yybXHZEnIxv8NXmk6A27btV7aE3AyN+Bv0hqtr75KFGDNoPPqHO7jV0YPUO+gv0uPWXc40zyhbQH5W9fpLFLNvs04syOcmmi+pMvHyeWkI/obHnTHYvrOT6+5aXraMzKjV35y0uXN9tbR/dceysiXkp99fK3vzPv5mxhWDgWV+jjeY2YpqGyS9HXhz+vZEM3u4CHVF4c4YaJfous/PvPLBHn/dyy2PdpYtIRdd2/ysSB9lcKa/+2LXvX6iBRdOAW4iMzsXOHfyYuqDO2PQOgjdDWVPJ2Zour+KasiZl6hnrb+KtfcAf/fFnLv99XLvL6KQOswmkrQIuBGYCYxIehdwuJmV5otzZww0DJ29fm7KTn9ri+jY5mfqLsBIu7+Kdd5Kf5odTowrjuJnEz1Kkgq4YXBnDFoGRuheu7NsGZlp2eVvCb+1+qqorNVfLTXS7k9z6y5fjYTisJhN1IhoxGjd5scYaNDfA+QtjeTgk/xNJ2rb5m+hnMd7uRCMiFraiJjESKejQGrTHGl1Ssdaf7644Vn+wpS0rN9ctoTyiJ5B4yEzWnb5CWDfd9CssiXkZtojvuLmbD/MV5pOgOlrfV1jAJvrcDZRUZNNwhg0HoMzWln3XD8Ldmbd788dsHW5L7fLsJ+Zxo8z2O3rGgO0+ruV4bYCyjDDhqe+i8ydMbBW2DW7bBXZWfcMfzWVt0CrrbvKVpCf9l5f4zJNT/GB6hoOd8ZgpMvoO8xPE0Vb3V1i5Oy+39XpTDDQOsvPPfw4a5wtQCmScBM1HmoxOrr9PEjDnQ6nlg77arV2dvm7xl0dfsa9Rll8tL9w7MUsOoscyA3JgmnbeOvh15UtIzN/3O4nqN4o3qJTLp3uLxx0r7dl3sCa/jllSyiP6Bk0Hl0aYlmnnxZKZ4u/FuDaXb4e+rltfWVLyM3ijk1lS8jNMT2FtLP3Kj8sqByLnkHj0aph5rX6iao5u8XfFMJWZ9m//2z6vWVLyM09gwvKlhBkxQyGfT0Te4I7Y7B1eDqXbT2qbBmZOar7wbIl5ObQzkfKlpCLOwcWli0hNwtat5UtITczWxxO2yqK7CGs3VK6MZB0AnAO0Aqcb2ZnTbR/V8sgh07zE7Z0ocOH/tadDRU/qyY7RnyF3Aa4w/yNJS3r9JUONWHNpEswwGJqaX2R1EoS3/slJL/aDZIuNbOV4x2zfbiTX/X6SW5z+aC/hCCz2v2kFQVY4DDt5d3bn1S2hNxs6/Y36J1EiZ4kliu5jVvK7hkcDdxrZvcDSLoEOBkY3xgMdHLdmoP3krzJs3Onv9hErc6ys7W1+VsdurDHnwG7+ZF9y5awB/ygkFKiZ1B/9gNWV7xfAxwzdidJpwOnp2+3r3zlx++qg5b5wIY6lFtPQnP9qYveO4oucHe8XWOon+YDJlvANjZf+bOR783PuLu36/44ZRuDTKQJpeuaVFrSjePlLm1UQnP98aYXQnPRmNkJZWvYG5SdYWMtsH/F+8XpZ0EQBMFepGxjcAOwXNKBkjqA1wCXlqwpCIKg6SjVTWRmQ5LOAK4kmVp6gZndXpKcurqh6kRorj/e9EJoDvYAWRPE3AiCIAgmpmw3URAEQdAAhDEIgiAIms8YSDpB0l2S7pX0gSrb3yNppaQ/Svq5pEnPU54stTRX7PcqSSap1Cl6WfRK+uv0Ot8u6dt7W2MVPbXuiyWSrpb0h/TeOLEMnRMh6QJJ6yQVkeyxcGrpk3RKem1vlfRrSU/b2xqbGjNrmj+SQer7gIOADuAW4PAx+xwHTE9fvxX4bqNrTvfrAa4FrgdWNLJeYDnwB2BO+n5ho19jkgHOt6avDwdWlal5nO/xAuAZwG1la9kTfcBzK+6JlwG/LVtzM/01W8/g8fAXZjYAjIa/eBwzu9rMRuNOX0+y9qFMampO+Sfg08DOvSmuCln0vhk418w2A5jZur2scSxZNBswM309C2i4aIlmdi3QsIkSaukzs1+P3hM0xrPXVDSbMagW/mKi8JFvAq6oq6La1NQs6RnA/mZ22d4UNg5ZrvEhwCGSfiXp+jRybZlk0fwx4FRJa4DLgXfsHWlNSyM8e02Fi3AUZSDpVGAF8MKytUyEpBbg88BpJUvJQxuJq+hYktbftZKONLMtZYqqwWuBi8zsbEnPAf5N0hFmTRDOci8j6TgSY/D8srU0E83WM8gU/kLS8cCHgJPMrOyMHrU09wBHANdIWgU8G7i0xEHkLNd4DXCpmQ2a2QPA3STGoSyyaH4T8D0AM/sN0EUSXC0oEElPBc4HTjYzf8mtHdNsxqBm+AtJTwe+RmIIyvZlQw3NZrbVzOab2VIzW0riaz3JzAoI5L5HZAkx8iOSXgGS5pO4jcpMsJtF80PAiwEkHUZiDNbvVZVTHElLSNIWv97M7i5bT7PRVMbAzIaA0fAXdwDfM7PbJZ0p6aR0t88CM4DvS7pZUqmxkjJqbhgy6r0S2ChpJXA18P4yW4EZNb8XeLOkW4DvAKeZWUMt35f0HeA3wJMlrZH0prI1VVJNn6S3SHpLustHgHnAV9Jnr6wGTVMS4SiCIAiC5uoZBEEQBNUJYxAEQRCEMQiCIAjCGARBEASEMQiCIAgIYxAEQRAQxiAISkfSYZL+VdJ/SHpr2XqC5iSMwRQnzW9wdsX790n6WAHlLt1bcfMlvVPSHZK+VUBZv66xfbakt+1BudMk/UJS60Rx+6vlTTCzO8zsLcBfA8+rckyHpGslRSyxoG6EMZj67AL+Mg370DAoIev99zbgJWZ2ymTPa2bPrbHL7PR8eXkj8EMzGwYuAp4QiVVSK3AuSaz+w4HXSjo83XYScBlJRNSxmgeAnwOv3gNdQZCJMAZTnyGSxCzvrvxwbMt+tMeQfn6npIsk3S3pW5KOT8NN3yPp6Ipi2tLtd6QujulpWadK+l0aUuBraSU4es67JF0M3MbuweFGs8zdlv69K/3sX0mSzlwhqdp3uHMcDU8oK/18e8Wxd0j6upJsa1dJmgacBRycav+spG5Jl0m6JS1rvAr5FODHMGHc/nHzJpjZpWb2srScavxogm1BMGnCGDQH5wKnSJqVcf9lwNnAoenf60jCCb8P+IeK/Z4MfMXMDgN6gbelQdxeDTzPzI4Chtm9ElueHvMUM3tw9ENJzwTeABxDEnn1zZKenrpPHgaOM7MvVNFaTUPVsqocu5wkyc5TgC3Aq4APAPeZ2VFm9n6SFv7DZvY0MzsC+OnYQtLgdgeZ2aoq56ikat4EScdK+pKkr1GlZ5ByG/CsGuUHwR4TPsgmwMx609b4O4H+DIc8YGa3Aki6Hfi5mZmkW4GlFfutNrNfpa//PS1/J/BM4AZJANOAyuivD5rZ9VXO+XzgP82sLz3vD4E/I0mPORHVNAxmLOsBM7s5ff379Lv9csw+twJnS/o08F9mdl0VDfNJjMkeYWbXANfU2GdY0oCkHjPbtqfnCoLxCGPQPHwRuAm4MH0/xO49w66K15U5HEYq3o+w+z0zNsqhAQK+aWYfHEdHX3bJmaimISuV33OYxHDtXpjZ3UoyyZ0IfELSz83szDG79bP79RuPTPk0JqCT8tOaBlOUcBM1CWa2iSQ5y2hY48eAhZLmSeoEXrEHxS5RkvULElfSL0kGOv9K0kIASXMlHZChrOuAV0qaLqkb+F/pZ3uiYU/LAthGkjCIVP++wA4z+3eS8ObPGHtAmre3VVItg5Alb0JVJM0DNpjZYLavEQT5CGPQXJxNmp0rrVTOBH4H/Ddw5x6Udxfwdkl3AHOAr5rZSuDDwFWS/piWvU+tgszsJpJZOL8Dfgucb2a1XETjadjTskjzKvwqHSz+LHAk8DtJNwMfBT4xzqFXkaZp1Dh5BcbLm5BFF3AcyWyjIKgLkc8gcIukpSR+/CMaQMszgHeb2evrVP4PgQ9EBrCgXkTPIAgKIO2NXD06jbZIUpfSj8IQBPUkegZBEARB9AyCIAiCMAZBEAQBYQyCIAgCwhgEQRAEhDEIgiAICGMQBEEQEMYgCIIgIIxBEARBQBiDIAiCAPj/bJSSzNr8C2kAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "_ = plot_dataset(dataset)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.12.3" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 4 }