{ "cells": [ { "cell_type": "markdown", "id": "c13b900b", "metadata": { "tags": [] }, "source": [ "Multiplexed sequencing\n", "======================\n", "\n", "The Cluster QRM/QCM supports six sequencers. The output of each sequencer is multiplexed, accumulated and connected to the output ports of the instrument.\n", "\n", "- In the first part of the tutorial we will demonstrate how to connect multiple sequencers to a single pair of output ports.\n", "- In the second part of the tutorial we will demonstrate frequency multiplexing by assigning different unique modulation frequencies (frequency of the carrier) to the sequencers. We will then show how to acquire, demodulate, and integrate the received frequency multiplexed waveforms.\n", "- In the third part of the tutorial we will demonstrate \\\"real mode\\\", where we will output real signals on each individual output port of the instrument.\n", "\n", "We will show this by using a [QRM](https://qblox-qblox-instruments.readthedocs-hosted.com/en/master/cluster/qrm.html) and connecting outputs $\\text{O}^{[1-2]}$ to inputs $\\text{I}^{[1-2]}$ respectively. We will then use the QRM's sequencers to sequence waveforms on\n", "the outputs and simultaneously acquire the resulting waveforms on the inputs (using the same sequencers).\n", "\n", "To run this tutorial please make sure you have installed and enabled ipywidgets:\n", "```\n", " pip install ipywidgets\n", " jupyter nbextension enable --py widgetsnbextension\n", "```" ] }, { "cell_type": "markdown", "id": "3093c796", "metadata": { "tags": [] }, "source": [ "Setup\n", "-----\n", "\n", "First, we are going to import the required packages." ] }, { "cell_type": "code", "execution_count": 1, "id": "1f5adaf0", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:36.136904Z", "iopub.status.busy": "2023-11-29T13:55:36.136768Z", "iopub.status.idle": "2023-11-29T13:55:36.624809Z", "shell.execute_reply": "2023-11-29T13:55:36.624476Z" } }, "outputs": [], "source": [ "# Import ipython widgets\n", "import contextlib\n", "import json\n", "import math\n", "\n", "import ipywidgets as widgets\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "# Set up the environment.\n", "import scipy.signal\n", "from IPython.display import display\n", "from qcodes import Instrument\n", "from scipy.fft import rfft, rfftfreq\n", "\n", "from qblox_instruments import Cluster, PlugAndPlay" ] }, { "cell_type": "markdown", "id": "6c72ebdb", "metadata": {}, "source": [ "### Scan For Clusters\n", "\n", "We scan for the available devices connected via ethernet using the Plug & Play functionality of the Qblox Instruments package (see [Plug & Play](https://qblox-qblox-instruments.readthedocs-hosted.com/en/master/api_reference/tools.html#api-pnp) for more info)." ] }, { "cell_type": "code", "execution_count": 2, "id": "3da6e89f", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:36.626611Z", "iopub.status.busy": "2023-11-29T13:55:36.626524Z", "iopub.status.idle": "2023-11-29T13:55:38.059627Z", "shell.execute_reply": "2023-11-29T13:55:38.059289Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "No devices found\r\n" ] } ], "source": [ "!qblox-pnp list" ] }, { "cell_type": "code", "execution_count": 3, "id": "2bca28cd", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:38.061381Z", "iopub.status.busy": "2023-11-29T13:55:38.061279Z", "iopub.status.idle": "2023-11-29T13:55:38.062993Z", "shell.execute_reply": "2023-11-29T13:55:38.062798Z" } }, "outputs": [], "source": [ "cluster_ip = \"10.10.200.42\"\n", "cluster_name = \"cluster0\"" ] }, { "cell_type": "markdown", "id": "b5bb4519", "metadata": {}, "source": [ "### Connect to Cluster\n", "\n", "We now make a connection with the Cluster." ] }, { "cell_type": "code", "execution_count": 4, "id": "4296abe1", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:38.064441Z", "iopub.status.busy": "2023-11-29T13:55:38.064163Z", "iopub.status.idle": "2023-11-29T13:55:38.440675Z", "shell.execute_reply": "2023-11-29T13:55:38.440375Z" }, "lines_to_next_cell": 2 }, "outputs": [], "source": [ "from qblox_instruments import Cluster, ClusterType\n", "\n", "try: # Close the chosen QCodes instrument to prevent name clash\n", " Cluster.find_instrument(cluster_name).close()\n", "except KeyError:\n", " pass\n", "\n", "cluster = Cluster(\n", " name=cluster_name,\n", " identifier=cluster_ip,\n", " dummy_cfg={\n", " 2: ClusterType.CLUSTER_QCM,\n", " 4: ClusterType.CLUSTER_QRM,\n", " 6: ClusterType.CLUSTER_QCM_RF,\n", " 8: ClusterType.CLUSTER_QRM_RF,\n", " }\n", " if cluster_ip is None\n", " else None,\n", ")" ] }, { "cell_type": "markdown", "id": "912d11f0", "metadata": { "lines_to_next_cell": 2 }, "source": [ "#### Get connected modules" ] }, { "cell_type": "code", "execution_count": 5, "id": "46e1d110", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:38.442691Z", "iopub.status.busy": "2023-11-29T13:55:38.442479Z", "iopub.status.idle": "2023-11-29T13:55:38.444620Z", "shell.execute_reply": "2023-11-29T13:55:38.444413Z" } }, "outputs": [], "source": [ "def get_connected_modules(cluster, filter_fn=None):\n", " def checked_filter_fn(mod):\n", " if filter_fn is not None:\n", " return filter_fn(mod)\n", " return True\n", "\n", " return {\n", " mod.slot_idx: mod for mod in cluster.modules if mod.present() and checked_filter_fn(mod)\n", " }" ] }, { "cell_type": "code", "execution_count": 6, "id": "517d6497", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:38.445877Z", "iopub.status.busy": "2023-11-29T13:55:38.445727Z", "iopub.status.idle": "2023-11-29T13:55:38.979178Z", "shell.execute_reply": "2023-11-29T13:55:38.978952Z" } }, "outputs": [ { "data": { "text/plain": [ "{4: }" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# QRM baseband modules\n", "modules = get_connected_modules(cluster, lambda mod: mod.is_qrm_type and not mod.is_rf_type)\n", "modules" ] }, { "cell_type": "code", "execution_count": 7, "id": "085c45c6", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:38.980574Z", "iopub.status.busy": "2023-11-29T13:55:38.980473Z", "iopub.status.idle": "2023-11-29T13:55:38.982538Z", "shell.execute_reply": "2023-11-29T13:55:38.982275Z" }, "lines_to_next_cell": 0 }, "outputs": [], "source": [ "readout_module = modules[4]" ] }, { "cell_type": "markdown", "id": "e52ad06e", "metadata": {}, "source": [ "### Reset the Cluster\n", "\n", "We reset the Cluster to enter a well-defined state. Note that resetting will clear all stored parameters, so resetting between experiments is usually not desirable." ] }, { "cell_type": "code", "execution_count": 8, "id": "ae524188", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:38.983681Z", "iopub.status.busy": "2023-11-29T13:55:38.983581Z", "iopub.status.idle": "2023-11-29T13:55:42.161206Z", "shell.execute_reply": "2023-11-29T13:55:42.160960Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Status: OKAY, Flags: NONE, Slot flags: NONE\n" ] } ], "source": [ "cluster.reset()\n", "print(cluster.get_system_state())" ] }, { "cell_type": "markdown", "id": "4702735b", "metadata": {}, "source": [ "Generate waveforms \n", "------------------\n", "\n", "Next, we need to create the gaussian and block waveforms for the sequence." ] }, { "cell_type": "code", "execution_count": 9, "id": "3d1e3969", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:42.162494Z", "iopub.status.busy": "2023-11-29T13:55:42.162310Z", "iopub.status.idle": "2023-11-29T13:55:42.165607Z", "shell.execute_reply": "2023-11-29T13:55:42.165360Z" } }, "outputs": [], "source": [ "# Waveforms\n", "waveform_len = 1000\n", "waveforms = {\n", " \"gaussian\": {\n", " \"data\": scipy.signal.windows.gaussian(waveform_len, std=0.133 * waveform_len).tolist(),\n", " \"index\": 0,\n", " },\n", " \"sine\": {\n", " \"data\": [math.sin((2 * math.pi / waveform_len) * i) for i in range(0, waveform_len)],\n", " \"index\": 1,\n", " },\n", " \"sawtooth\": {\n", " \"data\": [(1.0 / waveform_len) * i for i in range(0, waveform_len)],\n", " \"index\": 2,\n", " },\n", " \"block\": {\"data\": [1.0 for i in range(0, waveform_len)], \"index\": 3},\n", "}" ] }, { "cell_type": "markdown", "id": "62b87015", "metadata": {}, "source": [ "Let's plot the waveforms to see what we have created." ] }, { "cell_type": "code", "execution_count": 10, "id": "05dd2fbc", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:42.166929Z", "iopub.status.busy": "2023-11-29T13:55:42.166820Z", "iopub.status.idle": "2023-11-29T13:55:42.276653Z", "shell.execute_reply": "2023-11-29T13:55:42.276415Z" } }, "outputs": [ { "data": { "image/png": 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nySKj18R390HiyPutvorI9xkSi3OmPms1Vw7SBmF8yHjFphxaSklzhqmJMmIgRjazZ8kfRSJMMVHRj3OmESytTNl7PDDqX9Yfj0zkmjOT1mViX85Vk9csHROKcQ+2t9oY7IES/hz5PkNicc7oWSvlMCYgBl28uthVsQ0lzRmmJhLZO0uDMAfrcSWrPhOA4FjzaaFHPgPKfrW7lTFrmr3xiNnggSthllk7MQKzNx7Bl4cLjF7z6tfZCPFtwT9PIgWwRn+vvr59EeEbYZP+XmQcAzEiNbIkCPN/EBi7nvvBrE3rDzy3x/zfyZmdwKa/2dXKmLVYuoLDoMFyy8f2xq+3Kk3+uY5cc4grjEQ2cHfKYWZhpmSVDu0l5dCeMTVRAkxNJNlY2mRYRJEIzhkJWVI0xQ4qKlpzzphbuZFrT5O9stWeO77PkFiOMGeyr2Yj+Vgy9l/cL9k9Hbm/l5LmDPeIyYiBGMnC0v1Iz+7VV/ezEOeMFWz6mz4d0RQVp4xaa86YWwmzRf8re2RJFUqpV8b4PkNi2eOcMaQcnis5h6yiLEkrHSYEJTh8yqGS5gz3iBHZk4tZlgVhj74rKggjKxn1L/2esDM7jV+TsgAoLzVaRMXRLNx83GQQJnffK3s2O15f5t9UMPbq19kY0KU1Vx6JGsGQclhcUYz0S+nYm79XkvuqobkyWYaBGJHSWWkljKxs/EbzK2OGPWUOHowlbj6O9SbS5QaHtGYQJjFLgrFZG49ixdheDMaIRGLKIVmKgRiRknElTN0sWRlz8GDMXDoiV8Ksx1wwlpZ7Df2S9rKAB5EZ1urv1de3L+I6xHHVy44xECNSKktWwkLHAnGJqi78YPfGbzRfUdFBgzFz6YhcCbM+pikSNYwh+Nqet12ylEOAwZejYSBGpEQlBeaDMBNNmklhYucDXROAj2OMX+NgwVjy/lyT6YhP9euARSN7yDgix2VJMLZ0ew5WPv6AXEMiUiRDc+Wfb/wsafDFYhuOi4EYkdKUFOj3FpnCIEx92oXpU0hNBdgOEowdzb+BpO3Gq4VN7NcBiQzCZGUuGNt05BL8vZrWXkfkCKyVchikDcKIoBFsrkwMxIgUxZJ0RAZh6tVnAtDmfodeGUs+kIukbcaDsMEhrRmE2Yi5YMxwnMEY2TND8JWan4qteVslu29MQAy6eHVhsQ2qg4EYkVIwHdExWLoy5q4FoqfLNy4ZJO/PNbkSFt/dB8kTwmUcEd2LwRg5IkN/r93ndyOjMEOy+zLlkMxhIEakFNvnmD7PIMx+9JkABMfqU1DzUoWvSZkPdIi2m2qYl0tumwzCACBx5P0yjYZMmR0fgos3bmPzkUuC59fsy4VHUxdMHhAs88iIpGON4Iv9vUgsBmJESvDZWNMlzhmE2R+tv768/TvdjV/zcYx+9azPBPnGZSWJm0+YPD8vIYRV+RRk7rAQo4EYACRty0HfIG/0CvCScVREjWMotpF9NRtpl9Mku+/AdgMxuedkphySaAzEiGxt2xwGYY5K628+TfHbafrVMxW3KDDXK2zesBCuriiMn7Yplo4JxatfZxu9ZuSaQ+wxRopmWPU6V3IOWUVZyLlhelXeUjEBMYhqGwVPN0+mHVKjMBAjsqVtc4DMZOPnGYTZP0sKeGz6m371TIXBmLleYZunRnFVRaHGPdgeA7q0xqyNR5GWe03wGvYYI6Vhfy9SEwZiRLZiLh0xYjKDMEfRLgwYshhIWSB8Pi9Vn8KosjRFc73C5iWEMAhTOD9tU6wY2wv9kox/oGWPMbI1a6UcDg8ajsEBg7nqRVbDQIzIFsylI3aOBxKWyTcesr3oGUB56R/l64WoKE3RXHGOif06MB1RJfy0TTFvWIjRv89NRy6hW1sP/n2SrAxphxtObZCsv1df376I8I1gfy+SDQMxIrmlrTKdjhgxmUGYozKsgJoKxnYnAmM+kmU4jfGmiSCMvcLUZ/LAYJSWVxkta5+0LQeP9mrLFEWymrubK2cWZkpW6TBIG4TxIeOZckg2wUCMSE4Xs4ynnwEMwsh8MJa9EfBsr+i01cTNx41W3GOvMPUy12Ns1sajWDG2F4MxksyJayfwv6v/w5kbZyTd7xXlF4WerXuyuTLZHAMxIrkc/tR0dTymI5KBuWDMcFyBwZi5ConsFaZupnqMpeVeQ7+kvaykSI1ijZTDIG0QRgSNYMohKQ4DMSI5lBSYDsJCHgEe/0y+8ZDyqTAYM1chkb3C7IO5HmOspEhiGFIOiyuKkX4pXbKVrxCvEAwKGMRVL1I0BmJEctidaPr8MK6EkYDY+UDxBX06opCDKwB3LRA9Xd5xCTBXIXHq4GAWc7AT5op3AKykSOZlX81G8rFk7L+4X7J7MuWQ1IaBGJG17Vli/IM0AAxZoooqeGQjcYmm50/KfKDHGJvOIUsqJBr2F5F9MFe8g5UU6V53F9vYcnaLpJUO2d+L1IqBGJE17VliugJe/1mKWM0gBdP66/uHmUpt3T7HpqmtrJDomMwV72AlRbJWfy8GX2QvGIgRWYslQZiC9veQgvWZoO8ftulv+ubO98rZom8QPt7EypmVJO/PZYVEB2YuGGOKouMxBF+p+anIuWH8SxoxYgJiENU2Cp5uniy2QXaFgRiRNaStYhBG0tL6A6P+BbzTXfj8mZ36RuEyVt40l5LIComOwVQlxU1HLsHfqylmPdzVBiMjOVgr5TDIIwhjO41FbFAs/O7zk+SeRErDQIxIaiUFpnuFhY5lEEYNo/UHhiw2Pr8ykwFtO1nSXQtLy/Hat8aDMFZIdCymKimu2ZcL6HR4cWCgvIMiqzEEX6n5qdiat1Wy+8YExKCLVxcMaDcAPVr1QHl5Odzd3SW7P5HSMBAjkpq5ColxZs4TmRI9Qx/sZyYLn5eheMcXP+Rj7jfZRs+P6t2WRRocjLlKimtSz+JOdTXmJnCVVK0M/b12n9+NjMIMye4bExCDhKCEeimHOp1OsucgUioGYkRSMlch8dF3WSGRGi9hGXDjnD4dUcjuRGDMR1Z56sslt00GYQDw6jBWSHRE5iopJh88D+/73DF5YCeZR0YNcXfKYWZhpmTBV4hXCMJ9whGoDWSxDXJ4TrYegFhr1qxBYGAg3N3dERkZiczMTKPXDho0CBqNpt4/w4cPr71m4sSJ9c4PHTpUjpdC9sbcvrBn9+qLLhBJYfxGfSNwIdkb9V8KWIGpCokAUxId3ez4EIzs3dbo+aTtp3G55LaMIyKxsq9m48U9L2LIV0Mw+8BsvHvk3UYHYVF+UZjScwo2JGzAl49+iVcjX8W4kHEMwsjhqWpF7IsvvsDMmTPxwQcfIDIyEitXrkR8fDxOnz6NNm3a1Lv+m2++QWVlZe3P165dQ69evfDnP/+5znVDhw7F2rVra392c3Oz3osg+3Qxy/S+sCFLgHZh8o2HHMOwZfqKiUIMXwpIuB/RVIVEgE2bSc/UfjGAlRSVxpByeK7kHLKKsiStdCiUckhEf1BVIPb222/jueeew6RJkwAAH3zwAbZu3Yp///vfmDt3br3rvb296/z8+eefo1mzZvUCMTc3N/j68k2CGujwp6Z7PLFXGFmLueIdEgZj5iokTh0czKbNBEC/X2zpmFC8+rVwCiubPdueIe1we9527M3fK9l92d+LSBzVBGKVlZXIysrCvHnzao85OTkhLi4O6enpFt3jk08+weOPP47mzZvXOZ6amoo2bdrAy8sLMTEx+Oc//4mWLVsavU9FRQUqKipqfy4tLQWg31hq682lhjHYehwOo7QA+HYaNEZO60LHAjGvAQr+++CcUbmo6UB5CXDwLcF5qDu4AnD30F/XCG9uO2X03NRBHTHr4a6cQ1RrbHgAuvrch1H/Ev79nLQtByN6+jGNVUbZV7NxoEDfXPnQ5UOS3TchMAGD2w9Gr9bSFtvg7yYSS0lzxtIxqCYQ+/XXX1FdXQ0fH586x318fJCTY34ZPTMzE8ePH8cnn3xS5/jQoUMxevRoBAUFITc3F3//+98xbNgwpKenw9nZWfBeSUlJWLRoUb3j5eXlcHV1FfGqrKOiogIajbHQgKTUZMcCuBg5pwNQ/tBcoLxcziE1COeMykXNRpNfz8Hl1Nf1TmkA6FIWoLzTI4CH8b07pqzcm4vNRy8LnhsR6oMXBwaiXAXznOTVtXVTzIoLxordwsU7kraexLLRrKJoLUW3inDs12O4+NtFbL+wHed+OyfJfR9s8yDC24Qj4L4AhLYKhU+zPz6XSf0+wN9NJJZS5oyl/y+oJhBrrE8++QShoaGIiIioc/zxxx+v/e/Q0FD07NkTwcHBSE1NRWxsrOC95s2bh5kzZ9b+XFpaioCAALi7u9u834XhmwA3NzdFTES7lrYKEPjgC+iDMAxZDPc2HWUdUkNwztiJoYuhO/W14KqYBoD7928Coz8UfdsP959F8sHzRs/PG97d5u97pFxTY7vizNVbgoH8d9lFaN+yOWYxpVUyhWWFOHL1CHbk7ZA05TDSNxJx7eVNOeTvJhJLSXPm7hoVpqgmEGvVqhWcnZ1RVFRU53hRUZHZ/V1lZWX4/PPPsXjxYrPP07FjR7Rq1Qq//PKL0UDMzc1NsKCHoeqird1dAZKspKQA2L3Q6GlN/1n6fk8qwTljB7Tt9O0RjOxX1GRvBDzbi9ovdrnkNpJ2mGjaPKwr2no2Ez1UcixzE7oZXVFdk3oWHs1cuV+sEbKvZuPAxQP4+cbPkgZfSii2wd9NJJZS5oylz6+aQMzV1RVhYWHYs2cPRo0aBQCoqanBnj178OKLL5p87JdffomKigo8+eSTZp/n4sWLuHbtGvz8/KQYNtkrU02b+8+StFIdkcX6TADa3A98HCN8/uAKwF1rcfEYU6XqJ/fvgOf54Zks4KdtinlDQ4wG9UnbcvBor7bcLyaCodLhhlMbkFeaJ8k9g7RBGBE0Au092rPSIZFMVBOIAcDMmTPx1FNPITw8HBEREVi5ciXKyspqqyhOmDAB/v7+SEpKqvO4Tz75BKNGjapXgOPmzZtYtGgRxowZA19fX+Tm5mLOnDno1KkT4uPjZXtdpDKmmjaHjmUQRrbVLsx0JcWU+UCPMWYbi5sqVT+qtx9eimEQRpZ7fmBHXC+7bTTNlSXtTTNUOSyuKEb6pXTJVr5CvEIwKGAQBrQbgNDWoZLck4gsp6pAbNy4cbh69SoWLFiAwsJC9O7dGzt27Kgt4HHhwgU4OdXtUX369Gl8//332LVrV737OTs749ixY1i/fj2Ki4vRtm1bPPzww1iyZAl7iZEwc02b4xJlGwqRUdEzgPJS43N1dyIw5iOjDzdXqn7OUO7pIfFeiglGYWmlYJoiS9rXZ1j12n1+d6MbKt8tyi8KPVv3ZPBFpAAanRJqPKpcaWkptFotSkpK4OHhYdOx6HQ6lJeXw93d3eb5sXanpAB4p7vx80OWqLJfGOeMHfv6OeOrtybm64zPfzK6GjYvIQTP9+/IOUOiGN5nblToEPXmPqPXpc+LcegURWsEXyFeIQj3CUegNlBV/b34u4nEUtKcsTQ2UNWKGJFNmdsXpsIgjOxcXKLxQMxIiqLplMS2mDwgWBE9Wkid/LRNMW9YiNEVV0dMUTQU28i+mo20y2mS3Xdgu4GY3HMyV72IFIyBGJEl0lZxXxipj9bf9H6xe1IUzaUkvjqMKYnUeJMHBuPk5VLBgN9RUhQNwVdqfipybpjvhWqJmIAYRLWNgqebJ4ttEKkEAzEic0oKjH+QBbgvjJQtegZQeFz4i4TsjYBvaO1qrqkqifMSQhw6ZYykNXdYiNGVV3usomgotnGh9AK2nN0iaaXD8SHjVZVySER/YCBGZI6plMQhS8xWnyOyOQtSFBNTb5hNSSSSirkUxVkbj2LF2F6qDsas2d+ri1cXFtsgsgMMxIhMMZeSyH1hpAZmUhTTkl/EuuvPGn04UxLJGkylKKblXkO/pL1YOiYU4x5sb4PRNYw1+nv19e2LCN8I9vciskMMxIiMYUoi2RMTKYpRZXsx09kDb1ePrXeOKYlkTaZSFAHg1a+zMaBLa8XOwbtTDjMLMyWrdMiUQyLHwECMyBimJJK9MZKiqNEA05pswm9oho+qH6k9PnVwMFMSyarMpSgCyqykmH01G8nHkrH/4n7J7sn+XkSOh4EYkZA9S5iSSPbHRIqiRgPMa7IB31X3QyFaYmK/Dpgdz5REsr7JA4NRWl6FNftyBc8roZKiIeXwXMk5ZBVlSVrpMCEogSmHRA6KgRjRvdJWAQdXGD/PlERSs+gZQHkpdAdX4N52l04aYE6Tz/Fdp0Qkjuxhk+GRYzIE/caCMbkrKRpSDosripF+KV3SYht9ffsirkMc0w6JiIEYUR3m9oUxJZHswPI7f0bwnXSMblK/eexjTdIwuvP/AETIPzByaOaCMTlSFK2Rcsj+XkRkDAMxoruZ2hfWfxZTEkn1kvfnYs2+XPjicYxyToPTPctiGqC2pD2/dCC5zY4PwcUbt402e/b3aippyqy1+ntx1YuILMFAjMjAXKn62PnyjodIYpdLbtcWRShESyTdeQJ/b/L/oLk3RxHQfykx5iNZx0cEmK6kuGZfLjyaujRqv5gh+Nqet50ph0RkUwzEiACWqieH8OY9lek+qh6BbpoLgimKyN4IeLbnFxAkO3OVFBuyX8yazZVZbIOIGoqBGBHAUvVk95L35wquMiy78zgea5JWr3AHAH3RGnctU3JJduYqKZrbL2atlMMgbRBGBI1gc2UikgQDMSKWqic7d3dK4r0K0RKl/RdAe3Cx8IO5X4xsxNx+sXtL2huCr9T8VGzN2yrZOGICYtDFqwv7exGR5BiIkWNjqXpyAPemJN5tXkIItAOGA7hl/P8F7hcjGzG1XyxpWw76dXHGyeL/Yff53cgozJDseZlySERyYCBGjoul6skBGEtJBIBRvdv+saIQOx8oviC8Opy9EfAN5eowyU5ov5imSQmc7zuJJi1OYPzOXyR5nhCvEIT7hCNQG8hiG0QkGwZi5LhYqp7snKmURAB4ddg9ZcDjEo2n6TJFkWxk8sBgpBccQVrBATg1zYfLfWeEK302wMB2AzG552SmHBKRTTAQI8fEUvXkAMylJNarOqf1B4YsNr5SzBRFkklhWSFS81NxruQcsoqykFOVA/c2jb8vmysTkZIwECPHw1L15ACW78yxLCXxXtEzgMLjplMUo6ZJOFIiPfb3IiJHw0CMHA9L1ZOdS96fa7TsNyCQkngvsymKowHXlg0fINHvDP29sq9mI+2yQD+7BhoeNByDAwZz1YuIFI2BGDkWcymJ3BdGKmduX5hgSuK9zKUoHlgBxCU1YpTkyAxphxtObZCkv5dOB9y5GYw7tzphVI9QzBoYz+CLiFSBgRg5jpICIGWh8fNMSSQ7YGpf2NTBwcZTEu9lKkUxax0QMQ1w79iwQZJDKSwrxE9XfkLetTwcvnZYkjLzOh1QU94KlcUPofpmN+juaAEAXx0AXonWNvr+RERyYCBGjuN6LgCd8DmmJJIdMFeqfna8mZTEexlJUdRAhybp7wAj323AKMkRGFa9pO7vFeUXhZ6te+L8xQ7YmCZcOnHp9hysfPwByZ6TiMhaGIiR4zi1Rfh4xGSmJJLqiS5VbwkTKYpNjvwf0LqzfuWMCNYJvoK0QRgRNALtPdrX3e/1AFBR9pPgFw+bjlxCt7Yelq/+EhHZCAMxcgx7lgCZycLnuo2QdyxEViC6VL2lomcA1/OArLV1DmsA6FIWAD3+xNVkB2WoclhcUYz0S+mSVToM8QrBoIBBGNBugMn+XnOHhRhdAU7aloNHe7Vt+LwnIpIBAzGyf2mrgIMrhM9pnABv7nMhdWtwqXpLDZhdLxAD9MEYe4s5nuyr2Ug+loz9F/dLdk9DyqG54OtuftqmmDcsxOhKMFMUiUjpGIiRfTPbM2wRv80nVWt0qXpLaP2BsIn6Ih33MvQWY3qv3TKsfF0ovYAtZ7dIUukQkKa/1+SBwTh5udRoiqK/V1PxeyOJiGTCQIzsm6meYf1n8cMjqZokpeotNWCOcCAG/N5bbAy/1LAj1urvFekbiSEdhkjaXNlUiuKafbnwaOrC/WJEpEgMxMh+mesZFjtf3vEQSUyyUvWWMNdbjCmKqmcIvlLzU5Fzw/jcEqOvb19E+EYgwCMAIR4h6ODdARqNcLXDhjKXosj9YkSkVAzEyD6ZTUlMlG0oRNYgeal6S5jqLZa9EfBszy84VMRaKYdB2iCMDxlfZ9VLp9OhvLxckvsLmTwwGKXlVUbTdLlfjIiUiIEY2acDy4yfY88wUjmrlKq3VFwidNkbIbimcXAF4K5lyq+CGYKv1PxUbM3bKtl9YwJi0MWri6hiG1KbHR+Cizdus6Q9EakGAzGyPyUFxveyhI7lh0RSPauVqreE1h+IWwTd7oXCwdjuhdwvpjDWaq4cExCDhKCEuv29bIwl7YlITRiIkf05sNz4OaYkksqZS0mU5Rv/6BmounkDLv9bWT8Y09UA188yELOhu1MOMwszJQu+QrxCEO4TjkBtoKTFNqTEkvZEpCYMxMi+pK0S7HcEgCmJpHo2TUm8R/XAuXCpuQVkflj/5KnvgKD+so2F9JTS38vWzJW0Z4oiESkFAzGyH6YKdIRNYkoiqZ5NUxKFhDwiHIhlJgPadvx/zsoMKYfnSs4hqyhLskqHSkw5FIspikSkBgzEyH4Y7RmmAQbMlnMkRJJbvjPH9imJ92oZDEADQFf/HHuLWYUh7XB73nbszd8r2X2laK6sJExRJCI1YCBG9sFUz7CwifwwSKqWvD/XaFluQN6UxDo8/IEhi9hbzMqs1Vx5eNBwDA4YrOqVL1PMpSj6ezW1TpsHIiILMRAj9TPXM4yrYaRi5vaF2SQl8W7meov5hjJFUSRr9fcyNFdu79HeboOve5lKUVyzLxceTV24X4yIbIaBGKkfe4aRHTO1L2zq4GBlfIiMSzS+Ip2ygCmKFmDKoXWYS1HkfjEisiUGYqRu7BlGdsxcqXrFpFVp/YEhi42sTOuA/ExA+5jsw1I6Q8rhzzd+ljT4sodiG1KaPDAYpeVVRtN7uV+MiGyFgRipW8b7xs+xZxipmJJK1VvEVIri6W1ADwZiwB+VDjec2iBZymGQNggjgkY4VMqhWLPjQ3Dxxm2WtCciRWEgRupVUgAcelf4HFMSSeUUV6reEsZSFLM3Ap7tgdj5sg/J1gwph8UVxUi/lC7ZyleIVwgGBQxSVX8vW2NJeyJSGidbD0CsNWvWIDAwEO7u7oiMjERmZqbRa9etWweNRlPnH3d39zrX6HQ6LFiwAH5+fmjatCni4uJw5swZa78MkoKxcvVMSSSVU2Spekto/YGoacLnDq4A0lbLOx4bKSwrxOc5n+PZnc9iyFdDMPvAbLye8Xqjg7AovyhM6TkFGxI24MtHv8TUB6YyCBPBsF/MmKUmvvwgIrIGVa2IffHFF5g5cyY++OADREZGYuXKlYiPj8fp06fRpk0bwcd4eHjg9OnTtT9rNJo655ctW4bVq1dj/fr1CAoKwvz58xEfH4+TJ0/WC9pIQfYsMV4coGuCvGMhkpBiS9VbKvIF4NB7cLTeYtYothHiFYJwn3AEagMdttiG1FjSnoiURFWB2Ntvv43nnnsOkyZNAgB88MEH2Lp1K/79739j7ty5go/RaDTw9RX+5aXT6bBy5Uq89tprGDlyJADg008/hY+PDzZt2oTHH3/cOi+EGidtlf7bdUEaICBC1uEQSUXxpeotoXWc3mLW6u81sN1ATO45matdVsKS9kSkFKoJxCorK5GVlYV58+bVHnNyckJcXBzS09ONPu7mzZvo0KEDampq0KdPH7zxxhu4//77AQB5eXkoLCxEXFxc7fVarRaRkZFIT083GohVVFSgoqKi9ufS0lIA+sBOpxP4FlhGhjHYehxWU6rvGaYROKUD9B8APdoC9vr6rcDu54yKvLntlNFzUwd1xPP9Oyri78nsnImaDhRmQ5P9Zf3HZm8EfHvor1Gh7KvZOFBwAPvz9yPnhjSpbIPbDUaUfxQ83TzRq/UfxTaU8HctFSW9z/h6uGPe0BAk7TBe0n5ETz/lf+lh55Q0Z0gdlDRnLB2DagKxX3/9FdXV1fDx8alz3MfHBzk5wm+mXbt2xb///W/07NkTJSUlWLFiBaKionDixAm0a9cOhYWFtfe4956Gc0KSkpKwaNGiesfLy8vh6uoq9qVJrqKiol4Kpr1wyv0ebgLHdQCq+r6E6j7PA+Xlcg9L9ex5zqjFJ2nnsfnoZcFzI0J98OLAQJQraG6bnTMPzYN79pf1vjTRANDtTkR5p0f0X5ooXNGtIhz79Rgu/nYR2y9sx7nfzkly38D7AjGuyzg81PYh+DSr+ztISX/PUlLS+8yEyLa4XnYbyQfPC55P2noSy0bfL/Oo6F5KmjOkDkqZM5a+j6smEGuIfv36oV+/frU/R0VFoVu3bkhOTsaSJUsafN958+Zh5syZtT+XlpYiICAA7u7uNt9XZvgmwM3NTRETUXJ5u4WPh46FS3wiXOQdjV2w+zmjApdLbmPFbuP7wuYN727z95a7WTRn3DsCcYug272wfjCmq4H7rQKgTUerj7UhDKteZ26ckbS/1+B2g9HVuyv6+/d3uLRDJb7PzE24H4WllYJfgHyXXYQe7TzxPFMUbUaJc4aUTUlzprKy0qLrVBOItWrVCs7OzigqKqpzvKioyOgesHu5uLjggQcewC+//AIAtY8rKiqCn59fnXv27t3b6H3c3Nzg5lZ/XcZQmdHW7q4SaVfSVgECqU4AoIlLBOzt9crIbueMSizdcdrouXkJIWjr2UzG0VjGojnz0EtA6SUgM7n+409tAYIGWG+AIrG/l/Up8X1mbkI3oyvRSdtP49He/kxRtCElzhlSNqXMGUufXzWBmKurK8LCwrBnzx6MGjUKAFBTU4M9e/bgxRdftOge1dXVyM7ORkKCvqpeUFAQfH19sWfPntrAq7S0FBkZGXjhhRes8TKooUoKjG/+j5pul1XYyDGotlS9pbo9IhiIITMZ0LazWasJQ5XDC6UXkFmYiYzCDEnuy/5e6mIoaW+sSE7i5hNInhAu86iIyFE0OBCrrKxEXl4egoOD0aSJPPHczJkz8dRTTyE8PBwRERFYuXIlysrKaqsoTpgwAf7+/khKSgIALF68GH379kWnTp1QXFyM5cuX4/z583j22WcB6KPVl156Cf/85z/RuXPn2vL1bdu2rQ32SCGM9QyDBoicIudIiCSzfGeOukvVW8I7GL/vDKt/zgbl7LOvZiP5WDL2X9wv2T2j/KLQs3VPBl8qZaqk/c6TRZi0LhNrJ7IaLxFJT3QEdevWLUybNg3r168HAPz888/o2LEjpk2bBn9/f6Nl5KUwbtw4XL16FQsWLEBhYSF69+6NHTt21BbbuHDhApyc/uhRfePGDTz33HMoLCyEl5cXwsLCcOjQIXTv3r32mjlz5qCsrAzPP/88iouL8dBDD2HHjh2K2o/h8NJWGe8ZFjaRq2GkSuaCMFWUqreEuXL2B5YDI1Za7ekNKYfnSs4hqyhLskqHMQExSAhKYMqhnTBV0n5fzlUkbj6OxJE9ZB4VEdk7jU5kjccZM2YgLS0NK1euxNChQ3Hs2DF07NgRmzdvRmJiIn766SdrjVWxSktLodVqUVJSAg8PD5uORafToby8HO7u7jbPj5VESQHwzv0Q/DYdAF4+yUCskexuzqhA8v5ck/3CRvVui5WPPyDjiMRp0Jz5+jkjX6hogJdPSPb/sSHlsLiiGOmX0iUtttHXty/iOsSxuXIDqOF9xtz/l1MHB7PZs4zUMGdIWZQ0ZyyNDUSviG3atAlffPEF+vbtW+dF3n///cjNNf7tLlGDZLwPo0HYkCUMwkh1zDVtBuwkJfFecYlGAjGdJKti1kg5jAmIQVTb3/t7ceXL7k0eGIxLxbexPl24pD2bPROR1EQHYlevXkWbNm3qHS8rK7N59El2pqQAOPSu8Ln+s2y2yZ+oMd40E4QtHRNqHymJ99L6A0MWC6coZq0FvDuK+n/67mIbW85ukazSIVe9HNuikT1w4cYt7Mu5Kng+aVsOHu3V1j7/HyUi2YkOxMLDw7F161ZMmzYNwB/lGT/++OM6PbuIGs1YgY7QsUDsfFmHQiSF5P25RvehRAe3xIqxvez7A170DOB6nj7wupcFhTsMwdf2vO1MOSSrWTsxAombj2OdkZWxpdtzFJ06TETqIToQe+ONNzBs2DCcPHkSd+7cwapVq3Dy5EkcOnQI+/dLlxJCDs5UgY6uCfKOhUgC5lIS7T4IMxgwWzgQAwRTFLOvZuPAxQP4+cbPkgZfLLZBpiSO7IEbt6sEvzjZdOQSurX1YIoiETWa6EDsoYcewpEjR/Dmm28iNDQUu3btQp8+fZCeno7QUJbtJQmUFAApC42c1AABLCNM6mMqJdFuKiRaQuuvr3aata7+uax1KHxwIo7cLpQ85ZDNlUksU5UUmaJIRFJoUAOw4OBgfPTRR1KPhUjvei6MF+hYzAIdpDp237RZrAFz6gRihc7OOOLmitRmTbF1518le5qYgBh08erC/l7UIOaaPTNFkYgay6JArLS01OIb2rp8O9mBU1uEj0dMZoEOUp3k/bn237RZLK0/Cge/itQf3sPuZk2R0awpIFGxJ6YckpRMNXvedOQS/L2asqQ9ETWYRYGYp6enxRURq6urGzUgcnBpq4DMZOFz3UbIOxaiRjK3L8yhUhLxR3Pl3ed3I6MwA2jdstH3DPEKQbhPOAK1gSy2QVZhKkWRJe2JqDEsCsT27dtX+9/nzp3D3LlzMXHixNoqienp6Vi/fj2SkpKsM0pyDCUFwqWtAUDjpC9vTaQiiZtPGD03dXCwQ3x4MxTbyL6ajbTLaZLdd2C7gZjcczJTDsnqzKUoJm3LQd8gb/QK8JJ5ZESkdhYFYgMHDqz978WLF+Ptt9/GE088UXvs0UcfRWhoKD788EM89dRT0o+SHEN+hvFzcYu4N4xUZdK6TKO9iEb1bmu36UyGVa9zJeeQVZSFnBum+6ZZis2VyZYmDwxGaXmV0TTjkWsOYemYUIx7sL3MIyMiNRNdrCM9PR0ffPBBvePh4eF49tlnJRkUOajT24WPh47l3jBSlYWbjxsNwgD72xdmlf5eOh36urZGXJ8pTDkkRZgdH4KLN24bTVN89etsDOjS2qHSjYmocUQHYgEBAfjoo4+wbNmyOsc//vhjBAQESDYwcjB7lhjvGxaXKOtQiBojeX8u1htpBAvYz76wE9dO4H9X/4czN85IGnwN/60Mg2/fRq+KSvhW5wPDHwIYhJFCmNovBrCSIhGJIzoQe+eddzBmzBhs374dkZGRAIDMzEycOXMGX3/9teQDJAeQtgo4uEL4XNR0piSSapgrzjGxXwdV7wszpB1uOLVBsv5efX37IsI3Au1PbUOvM/vhe2/Bp92JwBi2SyFlMLdfjM2eiUgM0YFYQkICfv75Z7z//vvIydG/EY0YMQJTpkzhihiJZ6pABzRA5BRZh0PUGKaaNg8OaY3EkT1kHE3jGVIOL5ReQGZhpr7SoQSCtEEYHzK+bsqhc0sgR2BlLXsj4BvK9GRSDHP7xdjsmYgs1aCGzgEBAXjjjTekHgs5IlMFOti8mVTEVNPm+O4+SJ4QLvOIGqZeiXmJRPlFoWfrnsabKwdEGn/w7oVAjzF8PyDFMBTbMRaMMUWRiCwhOhA7cOCAyfMDBgxo8GDIAbFAB9kBc02bE0feL+NoxLNG8BWkDcKIoBFo79HesiqHWn/9ly9CK+S6GuD6WQZipCiminew2TMRWUJ0IDZo0KB6x+5u9syGzmSxtFUs0EGqdzT/huqaNhtSDosripF+KV26YhtoZH+v6Bn6dGWhpu6nvgOC+jd+gEQSMtfsGQCDMSIySnQgduPGjTo/V1VV4aeffsL8+fPx+uuvSzYwsnOm9oaxQAepxBc/XMCrX2cbPa+0ps3ZV7ORfCwZ+y/ul+yekvf36vaIcCCWmQxo23GlnBTFXPEOBmNEZIroQEyr1dY7NmTIELi6umLmzJnIysqSZGBk5w4sM3KCBTpIHS6X3DYZhCmhafPdxTa2nN0iWaXDSN9IDGo7CLFBsfC7z0+Se9byDgagAaCrfy5lAfeKkeKYK96xZl8uPJq6KOpLGSJShgYV6xDi4+OD06dPS3U7smclBUDWOuFzYRP5IYtUwVSFRMB2TZuzr2bjwMUDyL6ajbTLaZLdt69vX8R1iMPAgIHwaeaD8vJyuLu7S3b/Wlp/YMgiIyvmOiA/E9A+Jv3zEjWCuWbPrKRIREJEB2LHjh2r87NOp8Ply5fx5ptvonfv3lKNi+zZgeXGzw2YLd84iBooeX+uyaaucu8LMwRfqfmpyLlhOkC0VG1/L4FiGzqdwGqVlKJnAIXHhfeQnt4G9GAgRsrDZs9EJJboQKx3797QaDT1fhH37dsX//73vyUbGNmptFVA1lrhc0OWcDWMFM9ccQ459oVZK+VQsL+XrcQlCgdi2RsBz/ZA7HzZh0Rkip+2KZaOCTWasrzpyCVom7pgkcr6CRKR9YgOxPLy6v7Cd3JyQuvWra2TokL2xVSBjrBJ3IRPipd8IBdJ20wHYdbaF2YIvlLzU7E1b6tk940JiEEXry7G+3vZitYfiJoGHHq3/rmDKwB3Ld8zSHHGPdgeIb4tMHLNIcHz69PP48KNW1g7MULmkRGREokOxPbv349x48bBzc2tzvHKykp8/vnnmDBhgmSDIztjqkAHUxJJ4ZL355pcCbNGcQ5rNVeOCYhBQlCCNFUOrSnyBeDQe2DhDlKTXgFeJisp7su5isTNx5HIlTEihyc6EJs0aRKGDh2KNm3a1Dn+22+/YdKkSQzESBgLdJCKXS65bTIIA6QpznF3ymFmYaZkwVeIVwjCfcIRqA1URtqhpVi4g1TKXCXFdenn4efVlJUUiRyc6EBMp9PVaeBscPHiRcHS9kQAgIz3jZ/jahgpnLkKiY0tzmGN/l5RflHo2bqn8lIOxWLhDlKp2fEhuFl+B+vTzwueZyVFIrI4EHvggQeg0Wig0WgQGxuLJk3+eGh1dTXy8vIwdOhQqwySVK6kQHifB8ACHaR4y3fmmK6QOCxE9LfahpTDcyXnkFWUJVmlQ9WkHIplqnCHbyj3ipFiLRrZAxdu3MK+nKuC5xM3n0DyhHCZR0VESmFxIDZq1CgAwJEjRxAfH4/77ruv9pyrqysCAwMxZswYyQdIdsDY3rDQsfwARYq2fGeO0dQiANg8NQq9Arwsupch7XB73nbszd8r1RDr9Peyq+DrbqYKd3CvGCnc2okRmPzpj9h5sqjeuZ0nizBpXSaLdxA5KIsDsYULFwIAAgMDMW7cOFZJJMuY2hvWNUHWoRCJYS4Im5cQYjYIs1Zz5eFBwzE4YLD9rXyZEvmCkZV17hUj5Usceb9gIAaweAeRIxO9R+ypp56yxjjIXhndG6YBAvgNIClT8v5ck0HYqN5tBdMRrdXfy1RzZYeh9dcX9hH6Yod7xUjh/LRNTVZSXJd+Hs3dm1it/QURKZNFgZi3tzd+/vlntGrVCl5eXoLFOgyuX78u2eBI5UzuDVvMVCJSJHMNm4G6FRKZciijAXOEAzE2eSYVmDwwGJeKbxst3mH48ofBGJHjsCgQe+edd9CiRYva/zYViBHV2p0ofJx7w0ihvvjhAl79OtvkNUvHhELTpASf52x23P5etsImz6Ry5op3MBgjciwanU4n0CmTxCgtLYVWq0VJSQk8PDxsOhadTofy8nK4u7vbNmBOW2Wk9w+AP61jGpGCKGbO2Njlktvol2R8RevBYA3iwq/hhyv7JQu+grRBGBE0QnUphzadMyUFwDv3Q7DJMzTAyye42q5AfJ+pK3HzcawzsjIG6PegOnqPMc4ZEktJc8bS2MCiFbHS0lKLn9jWgQgpQEkBkLLQyEnuDSNlStx8os7PmiYlcG56DnC+DedmZ5DjegI5xxr/PCFeIRgUMEj9/b1shU2eyQ4kjuyBG7erjLbGSNqWg75B3hZXZSUidbIoEPP09DQbWRoaPVdXV0syMFKxjPch/G01uDeMFGnSukzsy7mqD77uO4kmLU6gSfNfINUXanbTXFkp2OSZ7MDcYSEmexSOXHMIS8eEYtyD7WUcFRHJyaJAbN++fdYeB9kLUwU6+s/i/g1SnNn/3Y+DBWlwa3sMLh4nJAm+QrxCEO4TjkBtIIttWAubPJPK+WmbYumYUJP7Ul/9OhsDurSGn7apjCMjIrlYFIgNHDjQ2uMge2GqeTMrmpFCGPp7fXPiEIruHEPTdtLcd2C7gZjcczJXveTAJs9kB8Y92B4hvi0wcs0ho9fM2ngUK8b2YjBGZIdE9xEDgBs3buCTTz7BqVOnAADdu3fHpEmT4O3tLengSGXYvJkUzBB8peanIufGH+XpG7MCxv5eNsYmz2QHegV4mewxlpZ7Df2S9jJNkcgOiQ7EDhw4gBEjRkCr1SI8PBwAsHr1aixevBjfffcdBgwYIPkgSSXYvJkUxFrNlYO0QRgfMp4ph0rAJs9kJyYPDEZpeZXJRvJMUySyP6IDsalTp2LcuHF4//334ezsDACorq7G3/72N0ydOhXZ2aZ78JCdYvNmUgDDqtfPN36WtLlyTEAMunh1YbENJTLV5Jl7xUhFDL3DTAVjiZtPIHlCuFxDIiIrE91HrGnTpjhy5Ai6du1a5/jp06fRu3dv3L59W9IBqgH7iAH4bobwh6HQscCYj+QbB4mmpL4bDVFYVojU/FRsOLVB0lUvNfb3kovi5syu14x8EcS+YkqhuDmjYMt35pgMxgaHtMbaifafZcI5Q2Ipac5I2kfsbn369MGpU6fqBWKnTp1Cr169xI+U1I97w0hGd6ccZhZmStJcWacDmiIAE3sN56qXGnGvGNkRcytj+3KuInHzcSSO7CHnsIjICkQHYtOnT8eMGTPwyy+/oG/fvgCA//3vf1izZg3efPNNHDv2R8fTnj17SjdSUi7uDSMZZF/NRvKxZOy/uF+S++l0QFVpJ+gqOyC8dRQ2PDVWkvuSDXCvGNkZc8HYuvTz0AFYxGCMSNVEpyY6OTmZvqFGY9XmzmvWrMHy5ctRWFiIXr164d1330VEhPCH/Y8++giffvopjh8/DgAICwvDG2+8Uef6iRMnYv369XUeFx8fjx07dlg8JodOTSwpAN7pLnxuyBLuz1ABJS3l382Qcniu5ByyirLqVDpsKJ0OqCrphuqbD6D6dgfo7mgBAOnzYrgBXgRFzhlT70X9Z7F9ho0pcs6owMLNx7E+/bzR8/acpsg5Q2Ipac5YLTUxL0+aPRgN8cUXX2DmzJn44IMPEBkZiZUrVyI+Ph6nT59GmzZt6l2fmpqKJ554AlFRUXB3d8fSpUvx8MMP48SJE/D3/2PPwNChQ7F27dran93c3GR5PXbBVN8wBmEkgiHlsLiiGOmX0iUrtqHTAXduBuPOzVBU3+xWG3wZLB0TyiDMHpjqK3ZwBeCu5XsSqc6ikT1w4cYt7Mu5Knh+X85VzN54BMvH9pZ3YEQkCdErYrYUGRmJBx98EO+99x4AoKamBgEBAZg2bRrmzp1r9vHV1dXw8vLCe++9hwkTJgDQr4gVFxdj06ZNDR6Xw66ImfoG+k/rmA6kErb+BknqlENAX+WwrLgjUk/dqrPydbfo4JZsktpAtp4zRpUUAO/cD0Dg15rGCXjpOAt32Ihi54xKJG4+jnUOtjLGOUNiKWnOWG1FDAAuXbqE77//HleuXEFNTU2dc9OnW+cbx8rKSmRlZWHevHm1x5ycnBAXF4f09HSL7nHr1i1UVVXVazydmpqKNm3awMvLCzExMfjnP/+Jli1bGr1PRUUFKioqan8uLS0FoJ8Ato5rDWOQZRwHlkFomuugAQIe1C9FkOLJOmfw+8rXVX2xja1nt0pW6TDSNxJx7eMwMGAg/vN9MdZknjV5/fI/94Svh7vN/59VI7nnjMU82gJxicDuhfXfm3Q10F3P1V9DslPsnFGJhY/eD51Oh/X/uyB4fl/OVcz64ie7WhnjnCGxlDRnLB2D6EBs3bp1mDx5MlxdXdGyZcs6EadGo7FaIPbrr7+iuroaPj4+dY77+PggJ8eyvSOvvvoq2rZti7i4uNpjQ4cOxejRoxEUFITc3Fz8/e9/x7Bhw5Cenl7bJ+1eSUlJWLRoUb3j5eXlcHV1FfGqrKOiosLq3wQ4Z/wLLgIb43UAqgbNR7VrS6C83KpjIOlYe84U3SrCsV+PIeVCClIvpUp23wfbPIiYdjF4qO1D8Gmmf29YuTcXyQeNf3MMAEtGhMDLTYNyztEGk+N9pkHCJsP52gW4/PRJnWBMB6Dq2CZU+z5oq5E5PMXOGZWYG98J567dxP4z1wXPf/XTJVy9WY4P/tJb3oFZEecMiaWUOWPp5wvRqYkBAQGYMmUK5s2bZ7Zwh5QuXboEf39/HDp0CP369as9PmfOHOzfvx8ZGaZLWL/55ptYtmwZUlNTTVZzPHv2LIKDg7F7927ExsYKXiO0IhYQEIDi4mLHSE0s1af/CK6GhU0CHnnHOs9LVmGtOZN9NRsHCg7gzI0zkjZXHtxuMBI6JqBX6/r9vRI3Hzf6jbHBpr/1Q68AL8nG44iUlP4hKO8ANJ8+Wu+wDtA3mI/iXjG5KX7OqMjsjUfw1U+XjJ5/uFsbJI68X/Vp15wzJJaS5kxpaSk8PT2lT028desWHn/8cVmDMABo1aoVnJ2dUVRUVOd4UVERfH1NN1tdsWIF3nzzTezevdtsSf2OHTuiVatW+OWXX4wGYm5uboIFPTQajc3/4u8eh9XGkp9p7JmhGTAbUMCfAYkjxZy5u7/XlrNbZG+uPGldptEN7QZLx4Sid3tvk9eQZaz+PtMYLTsB0ODevWIaANidCPT4E/eK2YCi54yKrBj3AK7drjL6frfr1BXsOnUFS8eEYtyD7WUenbQ4Z0gspcwZS59fdCD2zDPP4Msvv7SoOIaUXF1dERYWhj179mDUqFEA9MU69uzZgxdffNHo45YtW4bXX38dO3fuRHh4uNnnuXjxIq5duwY/Pz+phm5/Tm8XPh42kR9uHIwh+ErNT8XWvK2S3TcmIAZdvLpY3Fx59sYjZoOwzVOjuBLmKLT+wJBFQMqC+ud0NcD1s3yvIlVbOzECszcewZeHC4xe8+rX2QjxbcH3PSIFEx2IJSUl4ZFHHsGOHTsQGhoKFxeXOufffvttyQZ3r5kzZ+Kpp55CeHg4IiIisHLlSpSVlWHSpEkAgAkTJsDf3x9JSUkAgKVLl2LBggXYsGEDAgMDUVhYCAC47777cN999+HmzZtYtGgRxowZA19fX+Tm5mLOnDno1KkT4uPjrfY6VC1tFZC9UfjcgNnyjoVswtDfa/f53cgoNJ0SLEZMQAwSghJMrnrd63LJbbzwnywcyS8xed3SMaH8MOJoomfoqyhmJtc/d+o7IKi//GMiktDysb3x661Kk19CjVxzCPOGhWDywGAZR0ZElmpQILZz50507doVQN2lN2svA44bNw5Xr17FggULUFhYiN69e2PHjh21BTwuXLhQJ2Xy/fffR2VlJf70pz/Vuc/ChQuRmJgIZ2dnHDt2DOvXr0dxcTHatm2Lhx9+GEuWLGEvMSElBcLfMAP6PRf8htluGVa+tudtl2y/V4hXCMJ9whGoDcTAgIEWB18GyQdykbTNdKGe+O4+drFXghqo2yPCgVhmMqBtx75ipHprJ0aYLW2ftD0HpeVVmB0fIuPIiMgSoot1eHl54Z133sHEiROtNCT1cZg+Yse/Ab6aJHBCA7x8goGYShmbM9lXs3Hg4gFkX81G2uU0yZ5vYLuBmNxzskUph8Ys35mDNftyTV5jj311lEJJG6JNMtVXjO9bslLNnFEpS94Tn+rXAYtG9pBpRI3HOUNiKWnOWK2PmJubG6Kjoxs1OFIp7g2za4Vlhdh/cT/OlZxDVlEWcm5Y1hbCnJiAGES1jYKnm6eotENjzH37CwB/7uNvV/10qIFM7RWDDsj4AHh4iezDIpKaYbXLVDC2Pv08jl4sxvtPhjFLgEghRK+IJSUl4fLly1i9erW1xqQ6DrEitmcJcHCF8LmXTzIQU6nCskL8dOUnbPtlm6T9vfr69kVch7gGpRyaYkllRK6EWZ+SvnW0CN+/bE51c0alLFkZA6CKioqcMySWkuaM1VbEMjMzsXfvXmzZsgX3339/vWId33zzjfjRkrKlrTL+IYZ7w1THkHL4842fJe3vNTxoOAYHDJZk1UuIJZURpw4Kxuyh3AdB94idDxRfEC40dGA5MGKl7EMisobZ8SHwaOpidv8sKyoSKYPoQMzT0xOjR4+2xlhIiUoKgJSFRk5qgMgpsg6HGsZQ6XDDqQ2y9/dqLEsrI7I8PZnUdZhwIJa1Tl/xlV8okZ2YPCAYj/Zqi8TNJ7DzZJHR61hRkcj2RAdia9eutcY4SKmu50J4ozuAIYv54UWh7m6unFmYKVmZ+RCvEAwKGGRxf6/GWrEzB+9ZmGbDIIxMCog0coJ7xcj++GmbInlCuNl07qTtOTh5uRRzh4Vw3xiRDYgOxMjBnNoifDxiMks/K4y1+ntF+UWhZ+uesgVfBpbsB+sdoOXGc7KM1l//5ZFQ4Y5Dq/Wr+/xiieyMJeXtNx+5hM1HLqli3xiRvWlQIPbVV19h48aNuHDhAiorK+ucO3z4sCQDIwVIWyXcgwcAuo2QdywkyBrBl1wph6ZYsh+MlRFJtOgZQOFx7hUjh5I4sgeauzcxW8SD+8aI5Cc6EFu9ejX+8Y9/YOLEidi8eTMmTZqE3Nxc/PDDD5g6dao1xki2YGpvmMYJ8O4o73gIwB8ph8UVxUi/lC5psY0B/gMwpdcUWVe97mXpfrDBIa0ZhFHDcK8YOSBLytsD3DdGJDfRgdi//vUvfPjhh3jiiSewbt06zJkzBx07dsSCBQtw/fp1a4yRbMHU3rC4RfywIrPsq9lIPpaM/Rf3S3ZPQ38vrZsWIR4h6ODdwablXi3dD8bKiNQo3CtGDsrSiorcN0YkH9F9xJo1a4ZTp06hQ4cOaNOmDVJSUtCrVy+cOXMGffv2xbVr16w1VsWyyz5i2+YIpyVGTAYSljX8vmSRu4ttbDm7RbJKh0L9vWzdd8PSVTDuB1MOW8+ZRktbZaTJM9hXzEpUP2fsyOWS21i6PQebjlwye60tV8c4Z0gsJc0Zq/UR8/X1xfXr19GhQwe0b98e//vf/9CrVy/k5eVBZExHSsW9YTZh6O+VfTUbaZfTJLuvtZorSyH5QK7Zb2cB7gcjiXGvGDkwP21TrHz8Afh7NTWbqpi0PQeXim9j0cgeMo2OyLGIDsRiYmLw7bff4oEHHsCkSZPw8ssv46uvvsKPP/7I/mL2gHvDZGUIvlLzU5Fzw3xAYom+vn0R4Rth02IbljBXycuA+8HIKrhXjBycpfvG1qefx9GLxcxIILIC0YHYhx9+iJqaGgDA1KlT0bJlSxw6dAiPPvooJk+eLPkASWbcG2ZV1ko5DNIGYXzIeEWuet3L0lREgPvByIpM7RXjqhg5CEv3jR3JL0G/pL0s5EEkMdF7xKg+u9ojxr1hkjMEX6n5qdiat1Wy+8YExKCLV5dG9/eSM6fa0oIc3A+mbErKw28UU3vFhixhr0QJ2c2csVNi9o2N7N1WlkIenDMklpLmjNX2iJEd494wyViruXJMQAwSghIUnXIoRMwq2FP9OnA/AskjegZwPQ/IWlv/XMoCoMcYZgGQQzDsG+vW1sPs6pihATRXx4gaj4EY6XFvWKPcnXKYWZgpWfAV4hWCcJ9wBGoDVZF2eK/LJbfx7p4z2JCZb9H1/MVOshswWzgQgw7IzwS0j8k+JCJbmTwgGI/2aosX/nMYR/KLTV6btD0HWedvYNHI+5m9QNRADMRIL+N9cG+YeNbo7xXlF4WerXs2OuXQ1ixNQwSYikg2pPUHwibqi3Tc6/Q2oAcDMXIsftqm2DQ12qKCSrtOFmHXySL8JSIA02I78z2cSCQGYqRfDTv0rvC5/rO4T+IuhpTDcyXnkFWUJVmlQ7WmHAoRk4YIsCAHKcCAOcKBWPZGwDeU74HkkBJH9oCfV1OLWoxsyMzHhsx8ZjUQidSgQOzOnTtITU1Fbm4u/vKXv6BFixa4dOkSPDw8cN9990k9RrK2A0aKcISOBWLnyzsWBTKkHW7P2469+Xslu6+S+3s1hNg0RK6CkWJo/YGoacJfSHGvGDkwQ6qipYU8mK5IJI7oQOz8+fMYOnQoLly4gIqKCgwZMgQtWrTA0qVLUVFRgQ8++MAa4yRrKSkQ/iYYALomyDoUJTH09/r5xs+SBl/Dg4ZjcMBgu1j5upuljZkNWJCDFCfyBSOZAdwrRo5NTCEP4I90RWY7EJknOhCbMWMGwsPDcfToUbRs2bL2+GOPPYbnnntO0sGRDDLeN3JCAwREyDoUW7JWfy+1NFduqKP5N7B0Rw4O5V63+DFMXSFF4l4xIpMMq2MvfX4EGXnm3/PXpOZi3+kr+NvgTgjr4MUVMiIBogOxgwcP4tChQ3B1da1zPDAwEAUFBZINjGRgam/YkMV2n4rDlMOGO5p/A69+fQw5hTctur67XwtMHdwJffjLmJTM1F4xz/ZM1SaH56dtii8m98PR/BtYtuM00nKvmbz+5OXf8OKGnwCABT2IBIgOxGpqalBdXV3v+MWLF9GiRQtJBkUyMbU3zE43p7O/V+NcLrmNlz7/CRl5Nyx+DNMQSTVM7RU7uAJw19rteyORGL0CvPDZc31FpaWzoAdRfaIDsYcffhgrV67Ehx9+CADQaDS4efMmFi5ciIQEx91TpDoOtDfMGsFXkDYII4JG2G3K4b3EFuIw4C9cUp3IF4BD70GwncfuhSzcQXQXsemKgL6gx/6fr+LVoV3RK8DLyiMkUjaNTqcz0jxK2MWLFxEfHw+dToczZ84gPDwcZ86cQatWrXDgwAG0adPGWmNVrNLSUmi1WpSUlMDDw8OmY9HpdCgvL4e7uzs0Go3xC797yUgTUw3w8glVf9AwpBwWVxQj/VK6pGmHA9sNxOSek1Xd3+tepubM5ZLbeHP7KWw+clnUPZmCYt8sfp9Rq7RV+mqJQp7aAgT1l3c8dsDu5wzhaP4NvLLxKH65WmbxY0J87sPSP/UUDMg4Z0gsJc0ZS2MD0YEYoC9f//nnn+PYsWO4efMm+vTpg/Hjx6NpU8f80KW6QMzUh4whS1SZemPNlMOotlHwdPO025UvoTnDAIxMUdIvO6vZNgfITK5/PGIykGAkrZuMcog5QwCAFTtz8N6+XFGPEQrIOGdILCXNGasFYoYXSH9QVSBWUgC80134wWGTgBErrTo+KVmj2EaIVwjCfcIRqA2062IbdzPMmRsVOuw+VYSdJ4qQ9ovpDdj3GtWrLV5NCGEA5iCU9MvOavIOAOtHCJ9T6RdWtuQQc4Zq6dPZf8GGzAuiHtfdtwXi7vdBbEgb9GznyTlDoijpfcZqgZiHhwcee+wxPPnkk4iNjYWTk1OjB6t2qgrEjn8DfDVJ4JHqSEk09PfKvpqNtMtpkt3XHlMOLXWp+BaStpzEd8eLRD82vrsPEtm40+Eo6Zed1ZQUAO/cD8G9Yhon4KXjin+/VBKHmDNUT0MDMkC/SrZ4RFc8GOzDOUMWUdL7jKWxgehiHevXr8eGDRswcuRIaLVajBs3Dk8++STCw8MbNWCSyentwsfDJir2Q4Uh+ErNT0XODcubBpti7/29LNHQ9EMDFuIgu6b1B4YsEk7j1tUA188q9j2TSCn8tE3xxuhQTIvtJDogyym6ibEfZ5ncR0akdg3aIwYAv/32G7766iv8v//3/7B371507NgRTz75JBYsMLL3yI6pZkXM1N6wl08q5kOFtZorB2mDMD5kvMOkHAq5XHIbKScLG5R+CAC922nx3ICO7Afm4JT0raPVGdsr1n8W+4qJ4FBzhoy6XHIbS7fnYNORS6Ife3faIoMyEqKk9xmrFuu418mTJzF+/HgcO3ZMsMeYvVNFIGYqzSZqOvDwEtnGKMSw6vXzjZ8lrXIYExCDLl5dMKDdAIdMOwT0v/h+PHcdW45dxs4T4tMPAdOVrcjxKOmXndUZ3SumjnRupXCoOUNmNSYgA4DgVs0wMToIcd19+KUg1VLS+4zVUhMNysvL8e2332LDhg3YsWMHfHx8MHv27Ibejqztei4EgzBogMgpco8GwB+VDjec2iDpqpcj9fcyRorgCwBiQ1pjemxnBmDkuLyDAWhQ//1TB2R8YPMvsYjUyE/bFCsffwCvDgtpUECW++stzN98AvM3n0B0sDeG9vBjUEaqJHpFbOfOndiwYQM2bdqEJk2a4E9/+hPGjx+PAQMGWGuMiqeKFTEFpNfcnXKYWZgpWZn5EK8QDAoY5NCrXkDj0w4Ngls1w6SHghDbjb/USJiSvnWUhUrSupXM4eYMiXK55Dayzt3Ad8cuNerLwwGdWqF3B0+mLzooJb3PWC01sVmzZnjkkUcwfvx4JCQkwMXFpdGDVTvFB2I2bk6afTUbyceSsf/ifsnuGeUXhZ6tezL4kij4Aph+SJZT0i872Xz9HJC9sf5xlbX9sBWHnDPUII1NWzTgnjLHo6T3GasFYr/99htatGjR6AHaE0UHYjYowWxIOTxXcg5ZRVmSVTqMCYhBQlCCQ6ccHs2/gd2niuDWxBnZBSWN+ubQILZra0zu354lgsliSvplJxuVt/6wNYecM9Qol4pvIWnrSXyX3fjfc8GtmuGxPu2gbeYCr2auCGPBKbukpPcZSfeIlZaW1t5Ep9OhtLTU6LW2DkToHkb3hgGIWyTZhwdr9ffq69sXcR3iHLbSoWGv1/nrt7DppwL8cqVMkvvenX7o6+GO8vJySe5LZLcCIo2c0AEHlnNVjEhiftqmWDb6fswb3h2Hzxc3Km0x99dbWLHr5zrHuLeMlMCiFTFnZ2dcvnwZbdq0gZOTk2CUqdPpoNFoWDVRaStixvaGRUwGEpY16rms0d8rJiAGUW2j4Onm6ZArX4ZUw7xfb+HSjdvYebLx3wQadPdtgSH3+yDmnjQNJX2DROrgsHPGVJr3kCVA9HR5x6MiDjtnqMGE5szlktvYfbIIO08U4vtGpuPf7eFuPujZXovKOzVMZVQxJb3PSLoitnfvXnh7ewMA9u3bJ80IyfrSVgkHYQDQTagcs2nW6u/lqKtedwddLZu7SpZqeC9WPiSSSPQM4HoekLW2/rmUBUCPMUxRJLIiP21T/LVfIP7aL7A2KFuffq7R2SK7ThVh1yn979/Ve36pTWWEBgzOyKpE7xG7cOECAgIC6kWaOp0O+fn5aN++vaQDVANFrohVXoPmnR5o7N4wQ/C1PW+7pP29HCn4MqQXFt+uQsntKly7WYmzV25i/5lfrfJ80cHeiOrUCoEtm1vUeFlJ3yCROjj0nCkpAN7pLnzuT+uAHo/JOhy1cOg5Qw0iZs4czb+Bvaeu4MjFYuz/2Tq/W4NbNUNcdx9UVuvQsrkrAls1514zhVHS+4zV+ogFBQXVpine7fr16wgKCnLI1ERF+t/7aOjeMEOxjd3nd0tWYh5wjGIbdxfTgAZIz73W6GqGlmDJeSKZaP2BsIlA1rr6505vYyBGZAO9ArxqV6ykKoV/r9xfbyH3QP1MoAGdWiHY5z60bO7KYiAkmuhAzLAX7F43b96Eu7u7JIOiRiq9BKS/J3yu/6x6+xis1d/LHpsr35tOCA1w7WYlXJ012JNzRbJiGubE35XPfu+eLyKysgFzhAOx7I2Abyj3ihHZkJ+2KR7p1RSP9Gpbm76Y92sZCopvWyX9/8Avv+LAL/VX4aKDvdHDX1u7gsY0RxJicSA2c+ZMAIBGo8H8+fPRrFmz2nPV1dXIyMhA7969JR8gidfk0DsQXJANHVvbvNkQfKXmp2Jr3lbJnlvN/b3uDrJcnTV13jytnU5oiehgbwwL9eOqF5Gtaf2BqGnAoXfrn+NeMSLFMOwpMzCslp2/Xob/SliJWEha7nWk5V6vd/zePWiGL3Mrq3VwddbAzcWZwZoDsTgQ++mnnwDoV8Sys7Ph6upae87V1RW9evXCrFmzpB8hiVNagCZH/0/wVGFQNFJzPneYlENzgdXdb3zHL5XKkkJoqeBWzTA6rB20TfVpDpbs9SIiGUW+IByIQQfkZwJapigSKY1htQwApg7uXLu3zNXFCccuWqdglhChcvp3W73nF3T3bYHI4JZ1PqsIfY5h4KZuFgdihmqJkyZNwqpVq2xelIKM+N/7dVbDCp2dccTNFdubN8Pe7LckeYoQrxCE+4QjUBsoabGNu3tm3RsoGQui1BJYmWIIugAw1ZBILbhXjEj17t5bBqBOKmPL+1xlDc7udbLwN5ws/M2ia8UEbqY+O1VW69CxVXP2VpOR6KqJtrZmzRosX74chYWF6NWrF959911EREQYvf7LL7/E/Pnzce7cOXTu3BlLly5FQkJC7XmdToeFCxfio48+QnFxMaKjo/H++++jc+fOFo9JMVUTSwqge6c7jru64EAzd2S7uiGtWVNAosoxvk36oJ/3OLRx72zx/9CWnrN12p9c4ru3gb9XM7g20cCtibMigi4lVRkideCc+Z2pCorsK1YH5wyJpZQ5c3dw5tpEg8o7OmTkXceJS6U2G5MchPa4NfZLcmvfy7WJE/p39MSDwT42f5+xNDawKBAbPXo01q1bBw8PD4wePdrktd9884340Vroiy++wIQJE/DBBx8gMjISK1euxJdffonTp0/Xq+IIAIcOHcKAAQOQlJSERx55BBs2bMDSpUtx+PBh9OjRAwCwdOlSJCUlYf369QgKCsL8+fORnZ2NkydPWlx8RCmBWNrmD/H1xTeR0rxZo4MvnQ64czMYd251Aqpaovp2B+juaCUaqf0zFNO4drMSLe9ztbiUvC0o5ZcdqQfnzF12vWYkRVEDvHyCe8V+xzlDYil9zhjSGiuqq1F5R2e1YiAk3pg+/nhrbG+bjkHSQGzSpElYvXo1WrRogUmTJpm8du1agUaXEomMjMSDDz6I997TVwSsqalBQEAApk2bhrlz59a7fty4cSgrK8OWLVtqj/Xt2xe9e/fGBx98AJ1Oh7Zt2+KVV16p3d9WUlICHx8frFu3Do8//rhF41JCIHa55DYWfPIw/ud9o8FBWG3wdTMU1Te7MfAy4e50wms3K2u/JevYurnqimko/ZcdKQ/nzF1KCoB37odgu5Co6cDDS2QfkhJxzpBYapwzdxcDufuzga3THB2BL64hyKkQeTW+KERLbJ4aZdOMI0n7iN0dXFkz0DKlsrISWVlZmDdvXu0xJycnxMXFIT09XfAx6enptdUeDeLj47Fp0yYAQF5eHgoLCxEXF1d7XqvVIjIyEunp6UYDsYqKClRUVNT+XFqqX57W6XSwVaZn9s8ZDQrCdDqgqrg3qsu6c9Xrd9EdvdGjnUftmyfwR7BlaTqhmjJ+DfNWTWMm2+KcuYtHWyAuEdi9sF61Wt2h1UDkZMCDq2KcMySWGueMr4c7hvf0M3r+cslt7DlVhLNXy+p9vqi8o8PZqzex/4w69rcryVjnfUhq8jGcNTpU6zSYd+dZ/HiuG3q287TZmCydt6L7iNnKr7/+iurqavj4+NQ57uPjg5ycHMHHFBYWCl5fWFhYe95wzNg1QpKSkrBo0aJ6x8vLy+tUk5RT9e1jFgVhOh1QU94KlaVhDpNy2DfQEz38WqCqRgfvZi4AgOu3quDipEFVja7234Etm2FQ11bw9TCfklpeXm7tYcuqoqJCNd84kjJwztwlbDKaFByFy6m6qfkaAFX7luJO/DLbjEthOGdILHubM15uGvypt+kCZ4Wl5TiSX4IL124Jfla5+3PM2atlOHj2hhxDVyxfXMObTT6Gk0Yf+DhrdHizycc46vGkTT+rWfrcogOxa9euYcGCBdi3bx+uXLmCmpqaOuevX6/fM8HezJs3r85KW2lpKQICAuDu7m6zpta9u/SH09kPUSPwhqXTAdW3fVFddj/u3AxBTXmADUZoue6+LRDZ0bv2G6K7l/YB1Fvuv/eYmtMEbcHwjaObm5td/cIj6+GcEXD/I8Cp+nukmxz5PzQZ/KrDr4pxzpBYjjpnAt3dEdjG0+LrL5fcxuHzN3DuWpngZyExn52OF5QK9j5Tsj5OP9cGYQZOGh16O58F3HvZaFT6TD5LiA7E/vrXv+KXX37BM888Ax8f+aqStGrVCs7OzigqqptfW1RUBF9f4W8XfH19TV5v+HdRURH8/PzqXGOqObWbmxvc3NzqHddoNDZ7s/DzfQAL2w3Foos79MGYTodOGj+4uEcjRBsBH7fOjf4fVKrrjZ1TShVBR2SYu470y44ah3PmHgF9BQ9roAMykrlXDJwzJB7njHltPZuhrWczye4nVCXSVp8LLbk+9tSnwJX6r0MDjWRVwxvC0jkrOhA7ePAgvv/+e/TqJW+U6erqirCwMOzZswejRo0CoC/WsWfPHrz44ouCj+nXrx/27NmDl156qfZYSkoK+vXrBwAICgqCr68v9uzZUxt4lZaWIiMjAy+88II1X45VjI5bgX6F43H2QgY6to+En+8Dth4SEZFj0PoDQxYDKQvqnzu0GoicwgqKRKR4ftqm+Gu/QFsPwzJpq4ArO+od1kEDTYDx1lZKIjoQCwkJwe3bt60xFrNmzpyJp556CuHh4YiIiMDKlStRVlZWW8lxwoQJ8Pf3R1JSEgBgxowZGDhwIN566y0MHz4cn3/+OX788Ud8+OGHAPTR6ksvvYR//vOf6Ny5c235+rZt29YGe2rj69MbntoQm6VIEhE5rOgZQOFxIHtj/XMHlgMjVso+JCIiu1RSIPzFFwBEvaiaL75EB2L/+te/MHfuXCxYsAA9evSAi4tLnfPWLN8+btw4XL16FQsWLEBhYSF69+6NHTt21BbbuHDhApycnGqvj4qKwoYNG/Daa6/h73//Ozp37oxNmzbV9hADgDlz5qCsrAzPP/88iouL8dBDD2HHjh0MZIiISLyuw4QDsax1wIDZqvlwQESkaPkZgod10OgzEFTCoj5idztz5gz+8pe/4PDhw3WO63Q6aDQaVFdXSzpANVBCHzEDNfbdINvinCGxOGdMKCkA3ukufM6B+4pxzpBYnDNk0tfPCX7pVdV7ApqMXG3zOSNpH7G7jR8/Hi4uLtiwYYOsxTqIiIgUz+ResXe5V4yIqLHSVgkGYToAd/q9pJ7eXGhAIHb8+HH89NNP6Nq1qzXGQ0REpG5G94rpgPxMQPuYTYZFRKR6JQVAykLhc1HTAI+28o6nkZzMX1JXeHg48vPzrTEWIiIi+9B1mPDx09vkHQcRkT3JeB/6ta97qWtvmIHoFbFp06ZhxowZmD17NkJDQ+sV6+jZs6dkgyMiIlKlgEjh49kbAc/2QOx8ecdDRKR2JQX6FG8hQxYDHv5Aebm8Y2ok0YHYuHHjAABPP/107TGNRuPQxTqIiIjq0Prr02SEPjQcXAG4a4Ho6fKPi4hIrQ4sEz4eOlb/fiqu/qAiiA7E8vLyrDEOIiIi+xL5AnDoPQim0exeCPQYw8IdRESWKCnQtwER0jVB1qFISXQg1qFDB2uMg4iIyL5o/YEhi4QrKOpqgOtnGYgREVki430jJzRAQISsQ5GSRYHYt99+i2HDhsHFxQXffvutyWsfffRRSQZGRESketEz9N/kZibXP3fqOyCov/xjIiJSE3N7w1T8hZZFgdioUaNQWFiINm3aYNSoUUav4x4xIiKie3R7RDgQy0wGtO24V4yIyBRze8NUzKLy9TU1NWjTpk3tfxv7h0EYERHRPbyDAWiEz+1eqP+2l4iI6rPTvWEGovqIVVVVITY2FmfOnLHWeIiIiOyLYa+YEMNeMSIiqs9O94YZiArEXFxccOzYMWuNhYiIyD5FzwAiJgufO/WdvGMhIlIDO94bZiAqEAOAJ598Ep988ok1xkJERGS/uj0ifDwzGUhbLe9YiIiUzo73hhmILl9/584d/Pvf/8bu3bsRFhaG5s2b1zn/9ttvSzY4IiIiu1G7V4x9xYiITLLzvWEGogOx48ePo0+fPgCAn3/+uc45jcbIZmQiIiJHx75iRESWObDcyAn72BtmIDoQ27dvnzXGQUREZP/YV4yIyLS0VUDWWuFzdrI3zED0HrG75efnIz8/X6qxEBER2T/uFSMiElZSIJw1AABhk+xmb5iB6EDszp07mD9/PrRaLQIDAxEYGAitVovXXnsNVVVV1hgjERGR/TDVVyxlAfuKEZHjys8wckIDDJgt61DkIDoQmzZtGj788EMsW7YMP/30E3766ScsW7YMn3zyCaZPt68olYiISHKm+opBB2R8IOtwiIgU4/R24eNhE+0qJdFA9B6xDRs24PPPP8ewYcNqj/Xs2RMBAQF44okn8P77xhqvEREREQD9XrHyUuDgivrnDr0LRE6xyw8dRERGpa0CsjcKn7PD1TCgAStibm5uCAwMrHc8KCgIrq6uUoyJiIjI/sXO1/fDqUcH5GfKPhwiIpspKQBSFgqfi5put19MiQ7EXnzxRSxZsgQVFRW1xyoqKvD666/jxRdflHRwREREdq3rMOHjp7fJOw4iIlu6ngvBHovQ6DME7JTo1MSffvoJe/bsQbt27dCrVy8AwNGjR1FZWYnY2FiMHj269tpvvvlGupESERHZm4BI4ePZGwHfULurEEZEJOjUFuHj/V+x29UwoAGBmKenJ8aMGVPnWEBAgGQDIiIichhafyBqmn5f2L1SFgA9xtj1hxAiIqStEu6tCAAdB8k6FLmJDsTWrjXSYI2IiIjEi3xBOBAz7BXTPib7kIiIZGFqb5jGCfDuKO94ZNaohs5ERETUSFp/fWlmIdwrRkT2LON9CO8NAxC3yO4zAhiIERER2dqAOcLHszcCe5bIOxYiIjmUFBjJBgDQf5ZD7JFlIEZERGRrhr1iQg6uANJWyzseIiJrO7BM+HjoWH17DwfAQIyIiEgJIl8AoBE+t3uh/ttjIiJ7UFIAZK0TPtc1Qdah2BIDMSIiIiXQ+gNDFgmf09UA18/KOx4iImvJeN/ICQ0QECHrUGxJdNVEAPjhhx+wb98+XLlyBTU1NXXOvf3225IMjIiIyOFEz9B/UyxUyvnUd0BQf/nHREQkJVN7w4YstvsCHXcTHYi98cYbeO2119C1a1f4+PhAo/kjjeLu/yYiIqIG6PaIcCCWmQxo2znEBnYismOm9oY52Pub6EBs1apV+Pe//42JEydaYThEREQOzjsY+r1iAiWddy9kk2ciUi/uDatD9B4xJycnREdHW2MsRERExL1iRGSvuDesDtGB2Msvv4w1a9ZYYyxEREQE6PeKRUwWPnfqO3nHQkQkBe4Nq0d0auKsWbMwfPhwBAcHo3v37nBxcalz/ptvvpFscERERA6Le8WIyJ5wb1g9olfEpk+fjn379qFLly5o2bIltFptnX+IiIhIArV7xQSwrxgRqQn3hgkSvSK2fv16fP311xg+fLg1xkNERETAH3vFUhbUP2fYK+aAqTxEpEIHlhs54Zh7wwxEr4h5e3sjODjYGmMhIiKiu3GvGBGpXdoqIGut8DkH3RtmIDoQS0xMxMKFC3Hr1i1rjIeIiIju1u0R4eOZyUDaannHQkQkRkmB8Ko+AIRNcti9YQaiUxNXr16N3Nxc+Pj4IDAwsF6xjsOHD0s2OCIiIodnqq9YygL2FSMi5crPMHJCAwyYLetQlEh0IDZq1CgrDIOIiIgEmdorBh2Q8QHw8BLZh0VEZNbp7cLHwybyCySIDMTu3LkDjUaDp59+Gu3atbPWmIiIiOhu0TOA8lLg4Ir65w6tBiKn8EMNESlL2ioge6PwOa6GARC5R6xJkyZYvnw57ty5Y63xGHX9+nWMHz8eHh4e8PT0xDPPPIObN2+avH7atGno2rUrmjZtivbt22P69OkoKSmpc51Go6n3z+eff27tl0NERCRO7Hx9vx0hRiuSERHZgKm9YVHT+cXR70QX64iJicH+/futMRaTxo8fjxMnTiAlJQVbtmzBgQMH8Pzzzxu9/tKlS7h06RJWrFiB48ePY926ddixYweeeeaZeteuXbsWly9frv2H6ZdERKRIXYcJH89ax75iRKQcpvaGRU6RdShKJnqP2LBhwzB37lxkZ2cjLCwMzZs3r3P+0UcflWxwBqdOncKOHTvwww8/IDw8HADw7rvvIiEhAStWrEDbtm3rPaZHjx74+uuva38ODg7G66+/jieffBJ37txBkyZ/vHRPT0/4+vpKPm4iIiJJBUQaOcG9YkSkINwbZhHRgdjf/vY3AMDbb79d75xGo0F1dXXjR3WP9PR0eHp61gZhABAXFwcnJydkZGTgscces+g+JSUl8PDwqBOEAcDUqVPx7LPPomPHjpgyZQomTZoEjUZj9D4VFRWoqKio/bm0tBQAoNPpoNMJVLWSkWEMth4HqQfnDInFOWNDHm2BuEXA7oW497eU7tBqIHIy4KG8DzmcMyQW54yK/b43rN57FAAMmAVY6e9USXPG0jGIDsRqampED6axCgsL0aZNmzrHmjRpAm9vbxQWFlp0j19//RVLliypl864ePFixMTEoFmzZti1axf+9re/4ebNm5g+3Xhfg6SkJCxatKje8fLycri6ulo0HmuqqKgwGUgS3YtzhsTinLGhsMloUnAULqe+qXNYA6Bq31LciV9mm3GZwTlDYnHOqFDpJbgLfFEEAHciXsAd15ZAebnVnl4pc6bcwtcoOhCT0ty5c7F06VKT15w6darRz1NaWorhw4eje/fuSExMrHNu/vz5tf/9wAMPoKysDMuXLzcZiM2bNw8zZ86sc/+AgAC4u7vD3d290eNtDMM3AW5uboqYiKR8nDMkFueMAtz/CHBPIAYATY78H5oMflVxq2KcMyQW54xK5R4RDMJ00KBJ9ItoYsXPyUqaM5WVlRZd16BAbP/+/VixYkVtkNS9e3fMnj0b/fv3F3WfV155BRMnTjR5TceOHeHr64srV67UOX7nzh1cv37d7N6u3377DUOHDkWLFi3w3//+t14D6ntFRkZiyZIlqKiogJubm+A1bm5ugucMVRdt7e4KkESW4JwhsThnbCygr+BhDXTAgRXAiJXyjscCnDMkFueMCp3eIXhYEzYR0Fq/9ZVS5oylzy86EPvPf/6DSZMmYfTo0bWrRmlpaYiNjcW6devwl7/8xeJ7tW7dGq1btzZ7Xb9+/VBcXIysrCyEhYUBAPbu3YuamhpERhrbuKxfqYqPj4ebmxu+/fZbi1arjhw5Ai8vL6NBGBERkc1p/YEhi4XLQ2etBbw7AtHGMzuIiCS3Zwn7homk0Ync0datWzc8//zzePnll+scf/vtt/HRRx9JkkooZNiwYSgqKsIHH3yAqqoqTJo0CeHh4diwYQMAoKCgALGxsfj0008RERGB0tJSPPzww7h16xb++9//1qnu2Lp1azg7O+O7775DUVER+vbtC3d3d6SkpGDWrFmYNWuW4B4wY0pLS6HVamuLgdiSTqdDeXk53N3dbf5tAKkD5wyJxTmjIN+9pA+86tEAL59QTHUyzhkSi3NGZdJWme4bJkNFVyXNGUtjA9F9xM6ePYsRI0bUO/7oo48iLy9P7O0s9tlnnyEkJASxsbFISEjAQw89hA8//LD2fFVVFU6fPo1bt24BAA4fPoyMjAxkZ2ejU6dO8PPzq/0nPz8fAODi4oI1a9agX79+6N27N5KTk/H2229j4cKFVnsdREREkjH6LbMOyM+UdShE5KBKCoAUY5+d2TfMFNGpiQEBAdizZw86depU5/ju3bsREBAg2cDu5e3tXbv6JSQwMLBOqchBgwaZLR05dOhQDB06VLIxEhERyUrrr+/Lk7Wu/rnT24AelrV3ISJqsOu5+L04fX1DFitmZV6JRAdir7zyCqZPn44jR44gKioKgH6P2Lp167Bq1SrJB0hEREQmDJgjHIhlbwR8Q7lXjIis69QW4eMRk/n+Y4boQOyFF16Ar68v3nrrLWzcqN+Q161bN3zxxRcYOXKk5AMkIiIiE7T+QNQ04NC79c+lzAd6jOE30kRkHWmrgMxk4XPd6m9loros2iO2evXq2sZkFy5cwKhRo/D999/j2rVruHbtGr7//nsGYURERLYS+YLxcweWyzcOInIcJQXGC3RonPTVW8kkiwKxmTNnorS0FAAQFBSEq1evWnVQREREJIJhr5iQrHX6D0xERFLKzzB+Lm4RV+ItYFEg1rZtW3z99dc4f/48dDodLl68iAsXLgj+Q0RERDYwYI6REzog4wNZh0JEDuD0duHjoWO5N8xCFvUR+/DDDzFt2jTcuXPH6DU6nQ4ajQbV1dWSDlAN2EeM1IxzhsTinFEwU718Xj5ps2+oOWdILM4ZhduzBDi4Qvicjd5rlDRnLI0NLCrW8fzzz+OJJ57A+fPn0bNnT+zevRstW7aUbLBEREQkgegZQOFxfcXEex1YDoxYKfuQiMjOpK0yHoRFTWdKoggWV01s0aIFevTogbVr1yI6Ohpubm7WHBcRERE1RNdhwoFY1jp9A2h+SCKihmLzZklZtEfsbk899RRu376Njz/+GPPmzcP169cBAIcPH0ZBATcDExER2VRApJETOlZQJKLGYfNmSYkOxI4dO4YuXbpg6dKlWLFiBYqLiwEA33zzDebNmyf1+IiIiEgMrb/+A5GQrLVA2mp5x0NE9oPNmyUlOhB7+eWXMXHiRJw5cwbu7u61xxMSEnDgwAFJB0dEREQNED0DCJskfC5lAcvZE5F4bN4sOdGB2I8//ojJkyfXO+7v74/CwkJJBkVERESNNGC2kRM6ID9T1qEQkcqZ2hvG5s0NJjoQc3Nzq23ufLeff/4ZrVu3lmRQRERE1Eimmjyf3ibrUIhI5UztDWPz5gYTHYg9+uijWLx4MaqqqgAAGo0GFy5cwKuvvooxY8ZIPkAiIiJqIGNNnrM3cq8YEVmOe8OsQnQg9tZbb+HmzZto06YNbt++jYEDB6JTp05o0aIFXn/9dWuMkYiIiBpC6w9ETRM+lzKfe8WIyDzuDbMai/uIGWi1WqSkpOD777/HsWPHcPPmTfTp0wdxcXHWGB8RERE1RuQLwKF3hc+xyTMRmVJSoC/wI4R7wxpNdCCWn5+PgIAAPPTQQ3jooYesMSYiIiKSimGvWNa6+ufY5JmITMnPMH6Oe8MaTXRqYmBgIAYOHIiPPvoIN27csMaYiIiISErG9oqxyTMRmXJ6u/Dx0LHcGyaBBpWvj4iIwOLFi+Hn54dRo0bhq6++QkVFhTXGR0RERI3FJs9EJNaeJfrCPkLiEmUdir0SHYg98MADWL58OS5cuIDt27ejdevWeP755+Hj44Onn37aGmMkIiKixjLZ5JmFO4joLmmrgIMrhM9FTWdKokREB2IGGo0GgwcPxkcffYTdu3cjKCgI69evl3JsREREJCWjTZ7BFEUi0jNVoAMaIHKKrMOxZw0OxC5evIhly5ahd+/eiIiIwH333Yc1a9ZIOTYiIiKSkqkmz1nruCpGRKYLdAxZzNUwCYkOxJKTkzFw4EAEBgbi008/xbhx45Cbm4uDBw9iyhRGyERERIpmqnBHxgeyDoWIFIgFOmQjOhD75z//icjISGRlZeH48eOYN28eOnToYI2xERERkdRMFe44tJqrYkSOLG0VC3TISHQfsQsXLkCj0VhjLERERCSH6BlA4XHhD1y7E4ExH8k+JCKyMVN7w1igwypEB2KGIOzWrVu4cOECKisr65zv2bOnNCMjIiIi6+k6TDgQy94I+IYyBYnI0RxYZuQEC3RYi+hA7OrVq5g4cSJ27NgheL66urrRgyIiIiIrC4g0fm73QqDHGH4DTuQoSgr0BXuEhE3ke4GViN4j9tJLL6GkpAQZGRlo2rQpduzYgfXr16Nz58749ttvrTFGIiIikpqpvWK6GuD6WXnHQ0S2Y6p9ham2F9QoolfE9u7di82bNyM8PBxOTk7o0KEDhgwZAg8PDyQlJWH48OHWGCcRERFJLXqG/pvwzOT65059BwT1l39MRCSvtFVA1lrhc0OWcDXMikSviJWVlaFNmzYAAC8vL1y9ehUAEBoaisOHD0s7OiIiIrKubo8IH89MBvYskXcsRCQvUwU6wiZxr6iViQ7EunbtitOnTwMAevXqheTkZBQUFOCDDz6An5+f5AMkIiIiK/IOBmCkGvLBFUDaalmHQ0QyMlWggymJVic6EJsxYwYuX74MAFi4cCG2b9+O9u3bY/Xq1XjjjTckHyARERFZkdYfGLLI+PndC9lbjMgesUCHzVm8RywvLw9BQUF48skna4+FhYXh/PnzyMnJQfv27dGqVSurDJKIiIisKHoGUF6qXwG7l6FwBz+UEdmXjPeNn+NqmCwsXhELDg5GUFAQnn76afznP//BxYsXAQDNmjVDnz59GIQRERGpWex8IGKy8LlT38k7FiKyrpIC4NC7wudYoEM2Fgdie/fuxVNPPYWzZ8/iueeeQ4cOHdC5c2dMnjwZn3/+OYqKiqw5TiIiIrI2U4U7uFeMyH7sThQ+HjqWBTpkZHFq4qBBgzBo0CAAQHl5OQ4dOoTU1FSkpqZi/fr1qKqqQkhICE6cOGGtsRIREZE11Rbu0NU/l7KATZ6J7EHaKiB7o/C5rgnyjsXBiS7WAQDu7u6IiYnBa6+9hkWLFmH69Om47777kJOTI/X4iIiISC4mC3fogPxMWYdDRBIrKQBSFho5qQECImQdjqMTFYhVVlbiwIEDWLRoEQYPHgxPT09MmTIFN27cwHvvvYe8vDxrjZOIiIjkED1Dn54k5PQ2ecdCRNK6ngvBFW8AGLKYK94yszg1MSYmBhkZGQgKCsLAgQMxefJkbNiwgb3DiIiI7E1conDqUvZGwLO9vrAHEanPqS3CxyMmc2+YDVi8Inbw4EG0bNkSMTExiI2NxZAhQxiEERER2SOtPxA1TfgcmzwTqdOeJfrCO0K6jZB3LARARCBWXFyMDz/8EM2aNcPSpUvRtm1bhIaG4sUXX8RXX32Fq1evWnOcREREJKfIF6Av3CEgZT6bPBOpSdoq4T6BAKBxArw7yjseAiAiEGvevDmGDh2KN998ExkZGfj111+xbNkyNGvWDMuWLUO7du3Qo0cPa46ViIiI5GKycAeAA8vlGwsRNVxJgb7qqTFxi7g3zEYaVDUR0Adm3t7e8Pb2hpeXF5o0aYJTp05JOTYiIiKyJVOFO7LWcVWMSA3yM4yf6z+Le8NsyOJArKamBpmZmVi2bBmGDRsGT09PREVF4V//+hd8fX2xZs0anD171moDvX79OsaPHw8PDw94enrimWeewc2bN00+ZtCgQdBoNHX+mTJlSp1rLly4gOHDh6NZs2Zo06YNZs+ejTt37ljtdRAREalKXKKREzog4wM5R0JEDXF6u/Dx0LEsvGNjFldN9PT0RFlZGXx9fTF48GC88847GDRoEIKDg605vlrjx4/H5cuXkZKSgqqqKkyaNAnPP/88NmzYYPJxzz33HBYvXlz7c7NmzWr/u7q6GsOHD4evry8OHTqEy5cvY8KECXBxccEbb7xhtddCRESkGlp/fVlrodSmQ6uByClMayJSKlPNm41+yUJysTgQW758OQYPHowuXbpYczyCTp06hR07duCHH35AeHg4AODdd99FQkICVqxYgbZt2xp9bLNmzeDr6yt4bteuXTh58iR2794NHx8f9O7dG0uWLMGrr76KxMREuLq6WuX1EBERqUr0DKDwuPAHut2JwJiPZB8SEZlham9Y1HR+gaIAFgdikydPtuY4TEpPT4enp2dtEAYAcXFxcHJyQkZGBh577DGjj/3ss8/wn//8B76+vhgxYgTmz59fuyqWnp6O0NBQ+Pj41F4fHx+PF154ASdOnMADDzwgeM+KigpUVFTU/lxaWgoA0Ol00OmMNMmTiWEMth4HqQfnDInFOeOgug6FRiAQ02VvBHx76D/YGcE5Q2Jxzkhg90LBuqc6aIDIyYCd/dkqac5YOgaLAzFbKiwsRJs2beoca9KkCby9vVFYWGj0cX/5y1/QoUMHtG3bFseOHcOrr76K06dP45tvvqm9791BGIDan03dNykpCYsW1a8kVV5erohVtIqKCmg0RkoOEwngnCGxOGccUOvecEf9gvYaALqUBSjv9AjgYTxDhXOGxOKcaTjn/W/CJftLwXN3ev8Vd1xbAuXlMo/K+pQyZ8ot/LO1aSA2d+5cLF261OQ1janE+Pzzz9f+d2hoKPz8/BAbG4vc3NxG7W2bN28eZs6cWftzaWkpAgIC4O7uDnd39wbfVwqGbwLc3NwUMRFJ+ThnSCzOGQfl3hGIWwSdwLfsGgDume8Cj7wj+FDOGRKLc6YR0lYB/1tpZDUMaDL4VTSx8edVa1DSnKmsrLToOpsGYq+88gomTpxo8pqOHTvC19cXV65cqXP8zp07uH79utH9X0IiIyMBAL/88guCg4Ph6+uLzMzMOtcUFRUBgMn7urm5wc3Nrd5xQ2VGW7u7SiSRJThnSCzOGQf10EtA0QnBvWKarHXAgNlG951wzpBYnDMNUFKg37dphGbIEkDbTr7xyEwpc8bS57dpINa6dWu0bt3a7HX9+vVDcXExsrKyEBYWBgDYu3cvampqaoMrSxw5cgQA4OfnV3vf119/HVeuXKlNfUxJSYGHhwe6d+8u8tUQERE5gLhEI1XYdPomzyNWyjwgIqp1PRf6dS8B7BmmOA1u6Cynbt26YejQoXjuueeQmZmJtLQ0vPjii3j88cdrKyYWFBQgJCSkdoUrNzcXS5YsQVZWFs6dO4dvv/0WEyZMwIABA9CzZ08AwMMPP4zu3bvjr3/9K44ePYqdO3fitddew9SpUwVXvIiIiByeoZy9kKy1QNpqecdDRH84tUX4eMRk9gxTIFUEYoC++mFISAhiY2ORkJCAhx56CB9++GHt+aqqKpw+fRq3bt0CALi6umL37t14+OGHERISgldeeQVjxozBd999V/sYZ2dnbNmyBc7OzujXrx+efPJJTJgwoU7fMSIiIrpH9AwgbJLwuZT5+vQoIpJX2iogM1n4XLcR8o6FLKLRKaHGo8qVlpZCq9WipKQEHh4eNh2LTqdDeXk53N3dbZ4fS+rAOUNicc4QAH2w9Y6RNP7QsXV6i3HOkFicMyKZ+v9R4wS8dNzu+4Ypac5YGhuoZkWMiIiIFETrD4RNFD6XvZEpikRyMlGgA3GL7D4IUysGYkRERNQwA+YYP5eygCmKRHJIW2WkgA70q9Ms0KFYDMSIiIioYUwV7oAOyM80co6IJFFSAKQsNH4+LlG2oZB4DMSIiIio4aJn6L91F3J6m7xjIXI0psrVD1nClESFYyBGREREjWPsW/fsjcCeJbIOhcihmCpXz5RExWMgRkRERI2j9QeipgmfO7gCOMTCHUSS27OE5epVjoEYERERNV7kCwCMlIxOWQCUXpJ1OER2LW2V/ksOIRonwLujvOOhBmEgRkRERI2n9QeGLBI8pQHQZP/r8o6HyF6VFOi/3DCG5epVg4EYERERScNE4Y4mJ79miiKRFEz1DOs/i3vDVISBGBEREUnHSOEODcDeYkSNZa5nWOx8ecdDjcJAjIiIiKRjoreYBjD9bT4RGWc2JTFRtqGQNBiIERERkbRM9RbL3gikMUWRSLQDy4yfY88wVWIgRkRERNIz9e387oVMUSQSo6QAyFonfC50LPeFqRQDMSIiIpKeiRRF6GqA62flHQ+Rmh1YbvwcUxJVi4EYERERWUf0DCBiMnRC5059J/doiNQpbRWQtVb4HFMSVY2BGBEREVlPt0eE2zxnJgN7lsg9GiJ1MVWgI2wSUxJVjoEYERERWY93MHTCoRhwcAULdxCZYrTKqAYYMFvOkZAVMBAjIiIi69H6A3GJwumJAJAyn4U7iISY6hkWNpEpiXaAgRgRERFZV/QMVPV9yXgwxt5iRHWZ6xnG1TC7wECMiIiIrK564Fwg9M/CJ9lbjKguU19OsECH3WAgRkRERPIwVWabKYpEeqZSEtkzzK4wECMiIiJ5eJjoLQYwRZHIXEoie4bZFQZiREREJJ/oGfpv9YUwRZEcHVMSHQoDMSIiIpIXUxSJ6tuzhCmJDoaBGBEREclLyxRFojrSVun76hnDlES7xECMiIiI5GcuRXHPEnnHQ2Qr5vaFMSXRbjEQIyIiItsw9S3/wRXcL0aOwdQKcP9ZTEm0YwzEiIiIyDbMpShyvxjZO3Ol6mPnyzseklUTWw+AiIiIHFj0DKC81Pj+mN2JwJiPZB0SkSxKClC9NwlVzdsBGk398wNeA8rL5R+XSul0OlRUVAAANEJ/nhJycXGBs7Nzo+/DQIyIiIhsK3Y+UHxBeGUgeyPgG8r0LLIrOp0OhT98i+LBHwHOrvUvaOoJ/HoL+DVP9rGpmU6ns3oQZuDp6QlfX99GPR8DMSIiIrK9uETjKVop84EeY1iwgOxGYcY3KPboijbenmjmcs+CmJuWc70BdDpdbSBmzWBMp9Ph1q1buHLlCgDAz8+vwfdiIEZERES2Z9gvZqx6HFMUyU5U38hH8R1XtPH1RMtmAgFDywCgicAqGZkkVyAGAE2bNgUAXLlyBW3atGlwmiKLdRAREZEysKQ9OYCqA6sAZ1c0cxE46dGWQZhKNGvWDABQVVXV4HswECMiIiLlYEl7smd7lgBndgAQqM/R1Au4z0f+MVGDSLHqxkCMiIiIlIMl7clepa0yXh0UAFq0lW8spAgMxIiIiEhZomfoG9kaY6oBLpESlRQY3/8IMCVRAqmpqXB2dkZxcbGth2IxBmJERESkPLHzTe8XY4oiqYmpLw/u82FKogSioqJQUFAArVZr66FYjIEYERERKZOp/WJMUSS1SFtlvDVDUy/9ahg1mqura6P7esmNgRgREREpk7n9YkxRJKUzl5LYyH1hl0tu41Dur7hccrtR97HUb7/9hvHjx6N58+bw8/PDO++8g0GDBuGll14CAPzf//0fwsPD0aJFC/j6+uIvf/lLbb8tAFi3bh08PT3r3HPTpk11gqejR49i8ODBaNGiBTw8PBAWFoYff/wRAHD+/HmMGDECXl5eaN68Oe6//35s27YNQP3UxGvXruGJJ56Av78/mjVrhtDQUPy///f/6jz3oEGDMH36dMyZMwfe3t7w9fVFYmKitH9oJjAQIyIiIuUyV9KeKYqkZKa+LGjeplH7wr744QKi39yLv3yUgeg39+KLHy40+F6WmjlzJtLS0vDtt98iJSUFBw8exOHDh2vPV1VVYcmSJTh69Cg2bdqEc+fOYeLEiaKeY/z48WjXrh1++OEHZGVlYe7cuXBx0df6nzp1KioqKnDgwAFkZ2dj6dKluO+++wTvU15ejrCwMGzduhXHjx/H888/j7/+9a/IzMysc9369evRvHlzZGRkYNmyZVi8eDFSUlLE/cE0EBs6ExERkbLFJRpP7UqZD/QYo189I1KSPUuMz1vX5kDzVg2+9eWS25j3TTZqdPqfa3TA3785jgFdWsNP27TB9zXlt99+w/r167FhwwbExsYCANauXYu2bf9Y1Xv66adr/7tjx45YvXo1HnzwQdy8edNowHSvCxcuYPbs2QgJCQEAdO7cuc65MWPGIDQ0tPY5jPH398esWX8U/Zk2bRp27tyJjRs3IiIiovZ4z549sXDhwtrneu+997Bnzx4MGTLEovE2BgMxIiIiUjZDiqKxFK/dicCYj2QdEpFJ5krVu9cvKPGP/2ajqLTcottfL6usDcIMqnU6TP3sMLybW7bK5uPhjtcfC7XoWgA4e/Ysqqqq6gQxWq0WXbt2rf05KysLiYmJOHr0KG7cuIGamhoA+gCqe/fuFj3PzJkz8eyzz+L//u//EBcXhz//+c8IDg4GAEyfPh0vvPACdu3ahbi4OIwZMwY9e/YUvE91dTXeeOMNbNy4EQUFBaisrERFRUVtI2aDex/v5+dXJ53SmhiIERERkfJFzwAKjwuvMGRvBDzb6ystEtmauX1hUTMAp/ofwcUERZdLbiP6zb11gjFnjQZrxvex2oqYOWVlZYiPj0d8fDw+++wztG7dGhcuXEB8fDwqKysBAE5OTtDp6kaQVVVVdX5OTEzEX/7yF2zduhXbt2/HwoUL8fnnn+Oxxx7Ds88+i/j4eGzduhW7du1CUlIS3nrrLUybNq3eeJYvX45Vq1Zh5cqVCA0NRfPmzfHSSy/VjsXAkPZooNFoagNIa+MeMSIiIlIHU1UUD67gfjFSBlP7wvrPAvr8tdFP4adtiqTRoXD+vciFs0aDN0b3sGoQ1rFjR7i4uOCHH36oPVZSUoKff/4ZAJCTk4Nr167hzTffRP/+/RESElJvZal169b47bffUFZWVnvsyJEj9Z6rS5cuePnll7Fr1y6MHj0aa9eurT0XEBCAKVOm4JtvvsErr7yCjz4SXg1PS0vDyJEj8eSTT6JXr17o2LFj7ViVQjWB2PXr1zF+/Hh4eHjA09MTzzzzDG7evGn0+nPnzkGj0Qj+8+WXX9ZeJ3T+888/l+MlERERkRjmqiiypD3ZmqlS9aFjJV21Hfdge3w/dzD+33N98f3cwRj3YHvJ7i2kRYsWeOqppzB79mzs27cPJ06cwDPPPAMnJydoNBq0b98erq6uePfdd3H27Fl8++23WLJkSZ17REZGolmzZvj73/+O3NxcbNiwAevWras9f/v2bbz44otITU3F+fPnkZaWhh9++AHdunUDALz00kvYuXMn8vLycPjwYezbt6/23L06d+6MlJQUHDp0CKdOncLkyZNRVFRktT+fhlBNIDZ+/HicOHECKSkp2LJlCw4cOIDnn3/e6PUBAQG4fPlynX8WLVqE++67D8OGDatz7dq1a+tcN2rUKCu/GiIiImqQ6Bn6VQVjWNKebMVcSqKpFd0G8tM2Rb/glrKlI7799tvo168fHnnkEcTFxSE6OhrdunWDu7s7WrdujXXr1uHLL79E9+7d8eabb2LFirr75Ly9vfGf//wH27Ztqy0nf3e5eGdnZ1y7dg0TJkxAly5dMHbsWAwbNgyLFi0CoN/3NXXqVHTr1g1Dhw5Fly5d8K9//UtwrK+99hr69OmD+Ph4DBo0CL6+vor7jK/R3ZuoqUCnTp1C9+7d8cMPPyA8PBwAsGPHDiQkJODixYt1qrWY8sADD6BPnz745JNPao9pNBr897//bdRfTGlpKbRaLUpKSuDh4dHg+0hBp9OhvLwc7u7uqmpoR7bDOUNicc6QWFaZM18/Z3zlof8s7hdTOVW+z3w+HsjZInxuyBIgejoAfVn1vLw8BAUFwd3dXcYBSq+srAz+/v5466238Mwzz9h0LDqdDjqdrjbDzdpM/T1aGhuoolhHeno6PD09a4MwAIiLi4OTkxMyMjLw2GOPmb1HVlYWjhw5gjVr1tQ7N3XqVDz77LPo2LEjpkyZgkmTJpn8C6yoqEBFRUXtz6WlpQD+mAC2ZBiDrcdB6sE5Q2JxzpBYVpkzcQuB7I0Q+m2tO7gCgA6IYTCmVqp7n9kwFjizS3g+ho4FoqYBv78W3V3/Vs3r+91PP/2EnJwcREREoKSkpDb18NFHH1XEazEEYnKMxdTfo6XPr4pArLCwEG3atKlzrEmTJvD29kZhYaFF9/jkk0/QrVs3REVF1Tm+ePFixMTEoFmzZti1axf+9re/4ebNm5g+fbrReyUlJdUukd6tvLwcrq4Nb8wnlYqKCvV8e0SKwDlDYnHOkFiSzxnXlnAetAAuqYvrffjVANAdfAtVVdWoHjhXuuckWanlfcZ51z/gYiwIA1D+0Fyg/I+y9BUVFeoLNH+n0+nw1ltv4fTp03B1dUWfPn2wf/9+tGzZUhGvRc4/U8Nz3b04Y1BeblkbApsGYnPnzsXSpUtNXnPq1KlGP8/t27exYcMGzJ9f/5uxu4898MADKCsrw/Lly00GYvPmzcPMmTNrfy4tLUVAQADc3d1tvsRsmBRubm6qePMi2+OcIbE4Z0gsq82ZgTOBa6eA7C/rndIAcPnfSri08AaijP9OJ2VSzfvM3iXAT58YDcIwZDHc29RvOnx3kTg16dOnD3788UdbD8MoOf9MDc/l5uZW7/P/vSXyjbFpIPbKK69g4sSJJq/p2LEjfH1965W/vHPnDq5fvw5fX1+zz/PVV1/h1q1bmDBhgtlrIyMjsWTJElRUVMDNzU3wGjc3N8FzSvkfSq3/c5PtcM6QWJwzJJbV5kzcIsFADNAHY0hZAPT4k77iIqmK4t9n0lYBB98yeloTMVlfXObe47+/HkW/NhUypCUCkOXP1dTfo6XPb9NArHXr1mjdurXZ6/r164fi4mJkZWUhLCwMALB3717U1NQgMjLS7OM/+eQTPProoxY915EjR+Dl5WU0CCMiIiIF0foDj74LfFu/oWut3YnAGOFeQ0QNYq5CYud4IGGZfOMhVVJF+XpDicrnnnsOmZmZSEtLw4svvojHH3+8tmJiQUEBQkJCkJmZWeexv/zyCw4cOIBnn3223n2/++47fPzxxzh+/Dh++eUXvP/++3jjjTcEu3MTERGRQvWZALx8EggaJHw+eyObPZO0TLVJiJgMjDdS0ZPoLqoIxADgs88+Q0hICGJjY5GQkICHHnoIH374Ye35qqoqnD59Grdu3arzuH//+99o164dHn744Xr3dHFxwZo1a9CvXz/07t0bycnJePvtt7Fw4UKrvx4iIiKSkNYfGCXcTwiAvtnzxSz5xkP2a88S002buRJGFlJFHzGlYx8xUjPOGRKLc4bEknXOpK0ynTL26Lv6FTRSNMW+z+xZAhxcYfz8yyfN7ke0pz5iSqLGPmKqWREjIiIiMit6hn5Vwphvp+n39xCJZS4IG7KERWFIFAZiREREZF/iEk2fN7W/h0hI2irTQVjoWCDacdskTJw4EaNGjbL1MFRHFQ2diYiIiCym9QeGLDaeopi9EWjqxb08ZJmLWabTXQHzwb+dW7VqlSIaOqsNV8SIiIjI/kTPAPrPMn4+Mxn4zEQKIxEAHP4U+DjG9DWPvmu7lMSSAiDvgM3TbbVaLTw9PW06BjViIEZERET2KXa+6WDszE5g2xz5xkPqUlJguj9d0CB9cQ5bFX85/CmwsgewfoT+34c/tfpTfvXVVwgNDUXTpk3RsmVLxMXFoaysrF5q4qBBgzB9+nTMmTMH3t7e8PX1RWJiYp17FRcX49lnn0Xr1q3h4eGBmJgYHD161OqvQUkYiBEREZH9MheMZSazxxgJM7eXcNS/bLsS9t0MQFej/1lXA3z3klVXxi5fvownnngCTz/9NE6dOoXU1FSMHj3aaEri+vXr0bx5c2RkZGDZsmVYvHgxUlJSas//+c9/xpUrV7B9+3ZkZWWhT58+iI2NxfXr1632GpSGe8SIiIjIvsXOByp+0wddQlLmAx2igXZh8o6LlMtUrzDAOhUSt7wMlF627Npb1/4Iwgx01cCXE4FmLS27h4cf8Mg7Fg/v8uXLuHPnDkaPHo0OHToAAEJDQ41e37Nnz9revJ07d8Z7772HPXv2YMiQIfj++++RmZmJK1euwM3NDQCwYsUKbNq0CV999RWef/55i8elZgzEiIiIyP4lLANunNOnIwr5OEZf4CN6hqzDIgUyV6a+/yzrVEgUERShpECfjnh3MKZxBv68zmqrdL169UJsbCxCQ0MRHx+Phx9+GH/605/g5eUleH3Pnj3r/Ozn54crV64AAI4ePYqbN2+iZcu6QePt27eRm5trlfErEQMxIiIicgzjNwKfjwdytgifT1kAQOPQZcgdniVBWOx8+cZjjNYfGLFKn46oq9YHYSNWWjVV0tnZGSkpKTh06BB27dqFd999F//4xz+QkZEheL2Li0udnzUaDWpq9IHjzZs34efnh9TU1HqPc6SiHwzEiIiIyHEMW2Y8EAOYpujIzAVhoWOVEYQZ9JkABMcC188C3h1l2a+m0WgQHR2N6OhoLFiwAB06dMB///tf0ffp06cPCgsL0aRJEwQGBko/UJVgsQ4iIiJyHIYeY6Z8HCNLBTpSEHNBGKDMXmFafyCovyxBWEZGBt544w38+OOPuHDhAr755htcvXoV3bp1E32vuLg49OvXD6NGjcKuXbtw7tw5HDp0CP/4xz/w448/WmH0ysRAjIiIiBxL9Ax9sQVTvp1m895MJJO0VeaDMFv2ClMIDw8PHDhwAAkJCejSpQtee+01vPXWWxg2bJjoe2k0Gmzbtg0DBgzApEmT0KVLFzz++OM4f/48fHx8rDB6ZdLo2Aa70UpLS6HValFSUgIPDw+bjkWn06G8vBzu7u7QaDQ2HQupA+cMicU5Q2Ipds5czDLdrDfkEeDxz+QbD9WSbc6YmwNBgyQvU19eXo68vDwEBQXB3d1dsvs6Op1OB51OB41GI8v7jKm/R0tjA66IERERkWNqF2Y6TTFnC/DZWPnGQ/JKW206CANs2yuM7B4DMSIiInJc0TNMN3w+s1NfaZFpivZlzxJ9YRZTmI5IVsZAjIiIiBxb7HzTwVjOFuCd7izgYS8sKczx7F59VUIiK2IgRkRERBQ7H4iYbPqab6fp9xSRelkShA1ZwvYFJAsGYkREREQAkLAM6Bxv+hqWtlcvi4KwxWzoTbJhIEZERERkMH4jV8bskaXpiNEz5BkPERiIEREREdWVsMz0njFAvzKWtkqe8VDjWBKEPfou0xFJdk1sPQAiIiIixYn9vaKeqQ/wKQuA8tI/riXl2TYHyEw2fc2zexmEkU0wECMiIiISYkkwZjjHYEx5Phurbz9gClfCyIYYiBEREREZw2BMnTb9zXwQxpUw+t3EiRNRXFyMTZs2yfq83CNGREREZErsfH1Jc1MOrtCnwZFtlRQAH8UCRz4zfR1XwhRt4sSJGDVqlOT3PXfuHDQaDY4cOSL5vRuCgRgRERGROdHT9SsopmQm64OAkgJ5xkR17Vmib7xd8KPxa0JGAC+ftJtmzYVlhci8nInCskJbD4UagIEYERERkSXahelXUkwp+FEfDLCiorw+G2u+MmLneODx/wBaf3nGZGXfnPkG8V/H45ldzyD+63h8c+Ybqz/nV199hdDQUDRt2hQtW7ZEXFwcysrK8MMPP2DIkCFo1aoVtFotBg4ciMOHD9c+btasWXjkkUdqf165ciU0Gg127NhRe6xTp074+OOPkZiYiPXr12Pz5s3QaDTQaDRITU0FAGRnZyMmJqb2+Z9//nncvHmz9h41NTVYvHjx/2/v3sOiqvb/gb9nBpiBcBjkNqAolASmpChigBce4SuIxzQz0x/HvBSWd81SK8W04zX1eOt+KvRkWpaWxwseRfDCF1FUVFLRlMSvcTmGXBS5zvr9MYedI4qMDjOC79fz7CfYe+2119rzOTKfs9ZeG61bt4ZSqUTnzp0NruHt7Q0ACAgIgEwmQ1hYmEH/li1bBnd3dzg5OWHChAmoqqoy5e2rg4kYERERUUN1eeX+I2OAfkXFxPtMZyTTaMjzYJ1j9O+IaybybuZhXuo86IQOAKATOsxLndeoI2O5ubkYPnw4xowZg7NnzyI5ORmDBw+GEAKlpaUYOXIkDh06hMOHD8PHxwfR0dEoLS0FAPTu3RuHDh1CTU0NAGD//v1wdnaWEqyrV6/i4sWLCAsLw1tvvYWhQ4ciKioKubm5yM3NRUhICG7evInIyEg4Ojri6NGj2Lx5M/bu3YuJEydKbVy9ejVWrFiBZcuW4dSpU4iMjMTzzz+PCxcuAACOHDkCANi7dy9yc3OxZcufyWtSUhIuXryIpKQkrFu3DvHx8YiPj2+0+wlwsQ4iIiIi49SOjG2bVH+5g8uAilL9e8nI9IqvAt+/Uv9UREA/EjboY/O06SF8kPoBCsoKGlT2evl1KQmrpRM6vJX8FhxVjg2qw9XOFXOCG77ATG5uLqqrqzF48GC0bdsWAODv7w8A6NOnj0HZzz//HBqNBvv378df/vIX9OzZE6WlpThx4gS6du2KAwcO4O2335YWx0hOTkarVq3Qrl07AICtrS0qKiqg1WqlOtetW4fy8nKsX78eTzzxBABg7dq1GDBgAJYsWQJXV1csX74cM2bMwLBhwwAAS5YsQVJSElauXImPPvoILi4uAAAnJyeDugHA0dERa9euhUKhgJ+fH/r374/ExETExsY2+B4Zi4kYERERkbG6vAI8FX7/RODIZ8DVY8DQ9c1mStwjIWU1sKcBSUTP6UB4XOO3xwSMSYrybuYh8sdIg2RMLpNjWdgyaJ/Q1nPmg+vUqRPCw8Ph7++PyMhI9O3bF0OGDIGjoyPy8/Mxe/ZsJCcno6CgADU1NSgrK0NOTg4AQKPRoFOnTkhOToaNjQ1sbGwwduxYzJ07Fzdu3MD+/fvRu3fveq9/9uxZdOrUSUrCACA0NBQ6nQ5ZWVlQqVT4/fffERoaanBeaGgoTp48ed/+dejQAQqFQvrd3d0dp0+fNuYWGY1TE4mIiIgehEMrIDYR6PlW/eVqnxtLnG+edjVnxVeBH2Pvn4S16qZflKOJJGHG0j6hxdzguZDL9F/l5TI55gbPbbQkDAAUCgX27NmDXbt24ZlnnsGaNWvg6+uL7OxsjBw5EhkZGVi1ahX+93//FxkZGXByckJlZaV0flhYGJKTk6Wkq2XLlmjfvj0OHTrUoESssVlbWxv8LpPJoNPp7lHaNDgiRkRERPQwwucAvtHAP/rUX+7gcuDSfo6OPaiGjoJ1jmkSUxEf1mCfwQjxCMGV0ivwbOHZqElYLZlMhtDQUISGhiIuLg5t27bF1q1bkZKSgo8//hjR0dEAgCtXruDatWsG5/bu3RtfffUVrKysEBUVBUCfnG3cuBHnz583WDjDxsZGep6sVvv27REfH4+bN29Ko2IpKSmQy+Xw9fWFWq2Gh4cHUlJSDOpKSUlBUFCQVC+AOnVbCkfEiIiIiB5WQ1ZUBLiq4oPaOaNhSVgTeR7MVLRPaNFN280sSVhaWhoWLlyI9PR05OTkYMuWLfjPf/6D9u3bw8fHB//85z9x9uxZpKWlISYmBra2tgbn9+rVC6Wlpdi+fbuUKIWFhWHDhg1wd3fH008/LZX18vLCqVOnkJWVhWvXrqGqqgoxMTFQqVQYOXIkMjMzkZSUhEmTJmHEiBFwc3MDoF+dcenSpfjuu++QlZWFWbNmISMjA1OmTAEAuLq6wtbWFgkJCcjPz0dxcXGj37f6MBEjIiIiMoUur+inw7UKvH/ZPXHAphi+c6w+Jb8DmVuAT3vqn7W7n6DXm9XKiI8atVqNAwcOIDo6Gk8//TRmz56N5cuXo1+/fvjyyy9x/fp1dOnSBSNGjMDkyZPh6upqcL6joyP8/f3h4uICPz8/APrkTKfT1ZmWGBsbC19fXwQGBsLFxQUpKSmws7PD7t27UVhYiG7dumHIkCEIDw/H2rVrpfMmTZqEadOmYfr06fD390dCQgK2bdsGHx8fAICVlRVWr16Nzz77DB4eHhg4cGAj37X6yYQQwqItaAZKSkrg4OCA4uJiqNVqi7ZFCIHy8nKoVCrIZDKLtoWaBsYMGYsxQ8Z6LGMm8YP7v9eqVtdRQK8ZnK54G5GyCtgThwZHy//MB0KnNGaTTKa8vBzZ2dnw9vaGSqWydHOaDSEEhBDSu8caW32fY0NzA46IEREREZla+JyGj44di+d0xdvtnNHwJMx/qP4+N5EkjOh2TMSIiIiIGkPtqopBrzes/OM+XfH/jgFrgoAjnzUsCfuf+cCLX3AkkZosrppIRERE1JiilwIOrRu22MS57frN/yUgYl7zTzKKrwJX0oDUj+7/YuZarboBQ9c1/3tDzR4TMSIiIqLGFjoZ6PgisCUWuJxy//KnN+u3pyOBXjP1qzI2J8VXgQMfAse+Nu68JvSCZqL7YSJGREREZA4OrYDRO/VT8BLnA9nJ9z/n/G795tpBvzx+U0/IHjQB6zoa6PU2R8GoWWEiRkRERGROrbsCI39u+AuKAaDgF/0Loz0CgZAJgGf3ppWUPEACJgCgVSBkfAE2NVNMxIiIiIgswdjpigDwezrww2j9z4/6tMXa579O/whkbTfqVAGg6rmpsI58H3hcXnlAjx0mYkRERESWcvt0xX9NBvIzG35u7bRFp6eB7q8Dvv0sP3JUm3xl7QJOP+DLlf2HAhFzUWPjBGvTto7okcJEjIiIiMjSWncFxqXoE7IDS4HzCQ0/94/zwM7p+s27N6DtDFgrgaejGn+0rDbx+uMS8NvBhj33di+3PwcmBFBebrJmEj2Kmsx7xBYsWICQkBDY2dlBo9E06BwhBOLi4uDu7g5bW1tERETgwoULBmUKCwsRExMDtVoNjUaDV199FTdu3GiEHhARERHdR+uuwP/7Tv+SYv+hxp+fvR9IXaVP5v7RB/ikJ7BrFrA7Tv/fI/948PeU/d8xYN+CP+vaGKN/EfUPo4GkDx48Ces6Wt/fASstP6JH9QoLC8PUqVPvedzLywsrV6402fVMXd+jpsmMiFVWVuKll15CcHAwvvzyywads3TpUqxevRrr1q2Dt7c35syZg8jISJw5cwYqlQoAEBMTg9zcXOzZswdVVVUYPXo0xo4di2+//bYxu0NERER0bw6t9C8rjngf2Pv+g0/zyz+l3263czrg1x9w7wKUXQPkNoCuErBz1h+/fV/tf39LqVvPw+JKiPSYazKJ2Lx58wAA8fHxDSovhMDKlSsxe/ZsDBw4EACwfv16uLm54aeffsKwYcNw9uxZJCQk4OjRowgMDAQArFmzBtHR0Vi2bBk8PDwapS9EREREDXJ7QvYgy77fy7kd+s3cPAKBkImAZxATMBOoystD5W+XYePVFtZaraWbQ0ZqMlMTjZWdnY28vDxERERI+xwcHNC9e3ekpqYCAFJTU6HRaKQkDAAiIiIgl8uRlpZ2z7orKipQUlJisAH65I8bN27cuHHjxs3km9oD4i9/h5j2C8SQryF8/6Jf3r0JEACETyTEa4kQsXshOgzS98fS99SCG/Dw3xuvb/4Bv/YJR86oUfi1Tziub/7BLO2uqqrChAkT4ODgAGdnZ8yePRs6ne6u/bp8+TIGDhwIe3t7qNVqDB06FHl5eQZltm3bhm7dukGlUsHZ2RkvvPDCPe/TF198AY1Gg717997znpri3pric2yIJjMiZqy8vDwAgJubm8F+Nzc36VheXh5cXV0NjltZWaFly5ZSmbtZtGiRNEJ3u/LyctjY2Dxs0x9aRUUFZFzqlYzAmCFjMWbIWIwZE7FxAp7qp99Kfof84h4osnZAcfkAHqW7KwBUt38ROp9I6FoFAur/zjIyYgGO5hozFRUVRn9hv1NVXh7y5s4FdDr9Dp0OeXPnwi40pNFHxtavX48xY8bg8OHDSE9PxxtvvAFPT0/ExsZKZYQQ0Ol0GDRoEOzt7ZGUlITq6mpMmjQJw4YNw759+wAAO3bswODBg/Huu+8iPj4elZWV2LVrV537IoTAhx9+iA8//BAJCQkICgq66717mHtqrNprVVRU1DlW3sA4t2giNmvWLCxZsqTeMmfPnoWfn5+ZWtQw77zzDt58803p95KSEnh6ekKlUknPnllKbVAolcpm+Y8XmR5jhozFmCFjMWYaiepJwPV1IPh1oOQqRFYC8MevwH/OA5cSzZqYCQDw6g149wKcngQ8g2ClfvCph809ZmQymbTVynt/HqoLChp0fvX1638mYbV0Ovz+5nRYOTo2qA4rV1do35/b4DbX8vT0xN///nfIZDL4+fkhMzMTq1atwtixY6UyMpkM+/btw+nTp3Hp0iV4enoCANatW4eOHTsiPT0d3bp1w6JFizBs2DCDAY7OnTvXueasWbPwzTffIDk5GR06dLhn2+68p42p9lpKpbLO9//KysoG1WHRRGz69OkYNWpUvWWefPLJB6pb+9//NyA/Px/u7u7S/vz8fOkD1mq1KLgj4Kurq1FYWCidfzdKpRJKpbLOfnN++PW52/+4ierDmCFjMWbIWIyZRubQGgh67c/fi68CV47ol5Uv+w8gVwIXdgHXsh7+Wk+FA85PA3YugK0GsGsJWSM889VcY6a2P3f2zX3e+w2uoyovD7/2CTdMxuRytF7590YfEXvuuecgl//5dFNISAhWrFgB3X/bUtuvc+fOwdPTE23atJHKdujQARqNBufOnUNQUBAyMjIQGxtb72e8YsUK3Lx5E+np6fXmBUIIg3vb2O71ORpzfYsmYi4uLnBxcWmUur29vaHVapGYmCglXiUlJUhLS8O4ceMAAMHBwSgqKsKxY8fQtav+PRv79u2DTqdD9+7dG6VdRERERI3OoRXg8ILhvsh5+iXoL+zWJ2bAn0markKfWN257/Zj/x3p4iIblmet1cJ9/jzkxv13eqJcDvf585rcgh22trb3LdOzZ0/s2LED33//PWbNmmWGVplPk3lGLCcnB4WFhcjJyUFNTQ0yMjIAAO3atYO9vT0AwM/PD4sWLcILL7wAmUyGqVOn4m9/+xt8fHyk5es9PDwwaNAgAED79u0RFRWF2NhYfPrpp6iqqsLEiRMxbNgwrphIREREzU/rro3/kmcyC82QIXiiRw9UXs6BTds2ZkvC7lzQ7vDhw/Dx8YFCoTDY3759e1y5cgVXrlyRpiaeOXMGRUVFeOaZZwAAzz77LBITEzF69Oh7Xi8oKAgTJ05EVFQUrKys8NZbb5m4R5bTZBKxuLg4rFu3Tvo9ICAAAJCUlISwsDAAQFZWFoqLi6UyM2bMwM2bNzF27FgUFRWhR48eSEhIMJjHuWHDBkycOBHh4eGQy+V48cUXsXr1avN0ioiIiIjoAVlrtWYfBcvJycGbb76J119/HcePH8eaNWuwfPnyOuUiIiLg7++PmJgYrFy5EtXV1Rg/fjx69+4trVg+d+5chIeH46mnnsKwYcNQXV2NnTt3YubMmQZ1hYSEYOfOnejXrx+srKzqfal0U9JkErH4+Pj7vkPszlVSZDIZ5s+fj/nz59/znJYtW/LlzUREREREDfDKK6/g1q1bCAoKgkKhwJQpUwwW6qglk8nw888/Y9KkSejVqxfkcjmioqKwZs0aqUxYWBg2b96MDz74AIsXL4ZarUavXr3uet0ePXpgx44diI6OhkKhwKRJkxqtj+YiE+Za47EZKykpgYODA4qLi6FWqy3aFiEEysvLoVKpmt3DrdQ4GDNkLMYMGYsxQ8ZqzjFTXl6O7OxseHt7W3y17eakdqVNcy3wUt/n2NDcoNm+0JmIiIiIiOhRxUSMiIiIiIjIzJiIERERERERmRkTMSIiIiIiIjNjIkZEREREZGZcL69pM8Xnx0SMiIiIiMhMrK2tAQBlZWUWbgk9jNrPr/bzfBBN5j1iRERERERNnUKhgEajQUFBAQDAzs6u2S3RbwnmWr5eCIGysjIUFBRAo9FAoVA8cF1MxIiIiIiIzEir1QKAlIyRadQmYuag0Wikz/FBMREjIiIiIjIjmUwGd3d3uLq6oqqqytLNaRaEEKioqIBSqWz0ZMza2vqhRsJqMREjIiIiIrIAhUJhki/09OfiGSqVqslM9eRiHURERERERGbGRIyIiIiIiMjMmIgRERERERGZGZ8RM4HaOaklJSUWbom+LeXl5aisrGwy82PJshgzZCzGDBmLMUPGYsyQsR6lmKnNCe730mcmYiZQWloKAPD09LRwS4iIiIiI6FFQWloKBweHex6XifulanRfOp0Ov//+O1q0aPFIZOCenp64cuUK1Gq1RdtCTQNjhozFmCFjMWbIWIwZMtajFDNCCJSWlsLDwwNy+b2fBOOImAnI5XK0bt3a0s0woFarLR6E1LQwZshYjBkyFmOGjMWYIWM9KjFT30hYLS7WQUREREREZGZMxIiIiIiIiMyMiVgzo1QqMXfuXCiVSks3hZoIxgwZizFDxmLMkLEYM2SsphgzXKyDiIiIiIjIzDgiRkREREREZGZMxIiIiIiIiMyMiRgREREREZGZMREjIiIiIiIyMyZizchHH30ELy8vqFQqdO/eHUeOHLF0k8hCFi1ahG7duqFFixZwdXXFoEGDkJWVZVCmvLwcEyZMgJOTE+zt7fHiiy8iPz/foExOTg769+8POzs7uLq64u2330Z1dbU5u0IWsnjxYshkMkydOlXax5ihO129ehV//etf4eTkBFtbW/j7+yM9PV06LoRAXFwc3N3dYWtri4iICFy4cMGgjsLCQsTExECtVkOj0eDVV1/FjRs3zN0VMoOamhrMmTMH3t7esLW1xVNPPYUPPvgAt68bx5h5vB04cAADBgyAh4cHZDIZfvrpJ4PjpoqPU6dOoWfPnlCpVPD09MTSpUsbu2t3J6hZ2LRpk7CxsRFfffWV+OWXX0RsbKzQaDQiPz/f0k0jC4iMjBRff/21yMzMFBkZGSI6Olq0adNG3LhxQyrzxhtvCE9PT5GYmCjS09PFc889J0JCQqTj1dXVomPHjiIiIkKcOHFC7Ny5Uzg7O4t33nnHEl0iMzpy5Ijw8vISzz77rJgyZYq0nzFDtyssLBRt27YVo0aNEmlpaeLSpUti9+7d4tdff5XKLF68WDg4OIiffvpJnDx5Ujz//PPC29tb3Lp1SyoTFRUlOnXqJA4fPiwOHjwo2rVrJ4YPH26JLlEjW7BggXBychLbt28X2dnZYvPmzcLe3l6sWrVKKsOYebzt3LlTvPfee2LLli0CgNi6davBcVPER3FxsXBzcxMxMTEiMzNTbNy4Udja2orPPvvMXN2UMBFrJoKCgsSECROk32tqaoSHh4dYtGiRBVtFj4qCggIBQOzfv18IIURRUZGwtrYWmzdvlsqcPXtWABCpqalCCP0/hnK5XOTl5UllPvnkE6FWq0VFRYV5O0BmU1paKnx8fMSePXtE7969pUSMMUN3mjlzpujRo8c9j+t0OqHVasWHH34o7SsqKhJKpVJs3LhRCCHEmTNnBABx9OhRqcyuXbuETCYTV69ebbzGk0X0799fjBkzxmDf4MGDRUxMjBCCMUOG7kzETBUfH3/8sXB0dDT4uzRz5kzh6+vbyD2qi1MTm4HKykocO3YMERER0j65XI6IiAikpqZasGX0qCguLgYAtGzZEgBw7NgxVFVVGcSMn58f2rRpI8VMamoq/P394ebmJpWJjIxESUkJfvnlFzO2nsxpwoQJ6N+/v0FsAIwZqmvbtm0IDAzESy+9BFdXVwQEBOCLL76QjmdnZyMvL88gZhwcHNC9e3eDmNFoNAgMDJTKREREQC6XIy0tzXydIbMICQlBYmIizp8/DwA4efIkDh06hH79+gFgzFD9TBUfqamp6NWrF2xsbKQykZGRyMrKwvXr183UGz0rs16NGsW1a9dQU1Nj8OUHANzc3HDu3DkLtYoeFTqdDlOnTkVoaCg6duwIAMjLy4ONjQ00Go1BWTc3N+Tl5Ull7hZTtceo+dm0aROOHz+Oo0eP1jnGmKE7Xbp0CZ988gnefPNNvPvuuzh69CgmT54MGxsbjBw5UvrM7xYTt8eMq6urwXErKyu0bNmSMdMMzZo1CyUlJfDz84NCoUBNTQ0WLFiAmJgYAGDMUL1MFR95eXnw9vauU0ftMUdHx0Zp/90wESNq5iZMmIDMzEwcOnTI0k2hR9iVK1cwZcoU7NmzByqVytLNoSZAp9MhMDAQCxcuBAAEBAQgMzMTn376KUaOHGnh1tGj6Pvvv8eGDRvw7bffokOHDsjIyMDUqVPh4eHBmKHHEqcmNgPOzs5QKBR1Vi/Lz8+HVqu1UKvoUTBx4kRs374dSUlJaN26tbRfq9WisrISRUVFBuVvjxmtVnvXmKo9Rs3LsWPHUFBQgC5dusDKygpWVlbYv38/Vq9eDSsrK7i5uTFmyIC7uzueeeYZg33t27dHTk4OgD8/8/r+Nmm1WhQUFBgcr66uRmFhIWOmGXr77bcxa9YsDBs2DP7+/hgxYgSmTZuGRYsWAWDMUP1MFR+P0t8qJmLNgI2NDbp27YrExERpn06nQ2JiIoKDgy3YMrIUIQQmTpyIrVu3Yt++fXWG4Lt27Qpra2uDmMnKykJOTo4UM8HBwTh9+rTBP2h79uyBWq2u8+WLmr7w8HCcPn0aGRkZ0hYYGIiYmBjpZ8YM3S40NLTOazHOnz+Ptm3bAgC8vb2h1WoNYqakpARpaWkGMVNUVIRjx45JZfbt2wedTofu3buboRdkTmVlZZDLDb96KhQK6HQ6AIwZqp+p4iM4OBgHDhxAVVWVVGbPnj3w9fU167REAFy+vrnYtGmTUCqVIj4+Xpw5c0aMHTtWaDQag9XL6PExbtw44eDgIJKTk0Vubq60lZWVSWXeeOMN0aZNG7Fv3z6Rnp4ugoODRXBwsHS8dinyvn37ioyMDJGQkCBcXFy4FPlj5PZVE4VgzJChI0eOCCsrK7FgwQJx4cIFsWHDBmFnZye++eYbqczixYuFRqMRP//8szh16pQYOHDgXZeaDggIEGlpaeLQoUPCx8eHS5E3UyNHjhStWrWSlq/fsmWLcHZ2FjNmzJDKMGYeb6WlpeLEiRPixIkTAoBYsWKFOHHihLh8+bIQwjTxUVRUJNzc3MSIESNEZmam2LRpk7Czs+Py9fRw1qxZI9q0aSNsbGxEUFCQOHz4sKWbRBYC4K7b119/LZW5deuWGD9+vHB0dBR2dnbihRdeELm5uQb1/Pbbb6Jfv37C1tZWODs7i+nTp4uqqioz94Ys5c5EjDFDd/rXv/4lOnbsKJRKpfDz8xOff/65wXGdTifmzJkj3NzchFKpFOHh4SIrK8ugzB9//CGGDx8u7O3thVqtFqNHjxalpaXm7AaZSUlJiZgyZYpo06aNUKlU4sknnxTvvfeewTLijJnHW1JS0l2/v4wcOVIIYbr4OHnypOjRo4dQKpWiVatWYvHixebqogGZELe9zpyIiIiIiIgaHZ8RIyIiIiIiMjMmYkRERERERGbGRIyIiIiIiMjMmIgRERERERGZGRMxIiIiIiIiM2MiRkREREREZGZMxIiIiIiIiMyMiRgREREREZGZMREjIqLHyqhRozBo0CCLXX/EiBFYuHChSeqqrKyEl5cX0tPTTVIfERGZj0wIISzdCCIiIlOQyWT1Hp87dy6mTZsGIQQ0Go15GnWbkydPok+fPrh8+TLs7e1NUufatWuxdetWJCYmmqQ+IiIyDyZiRETUbOTl5Uk/f/fdd4iLi0NWVpa0z97e3mQJ0IN47bXXYGVlhU8//dRkdV6/fh1arRbHjx9Hhw4dTFYvERE1Lk5NJCKiZkOr1Uqbg4MDZDKZwT57e/s6UxPDwsIwadIkTJ06FY6OjnBzc8MXX3yBmzdvYvTo0WjRogXatWuHXbt2GVwrMzMT/fr1g729Pdzc3DBixAhcu3btnm2rqanBDz/8gAEDBhjs9/LywsKFCzFmzBi0aNECbdq0weeffy4dr6ysxMSJE+Hu7g6VSoW2bdti0aJF0nFHR0eEhoZi06ZND3n3iIjInJiIERHRY2/dunVwdnbGkSNHMGnSJIwbNw4vvfQSQkJCcPz4cfTt2xcjRoxAWVkZAKCoqAh9+vRBQEAA0tPTkZCQgPz8fAwdOvSe1zh16hSKi4sRGBhY59jy5csRGBiIEydOYPz48Rg3bpw0krd69Wps27YN33//PbKysrBhwwZ4eXkZnB8UFISDBw+a7oYQEVGjYyJGRESPvU6dOmH27Nnw8fHBO++8A5VKBWdnZ8TGxsLHxwdxcXH4448/cOrUKQD657ICAgKwcOFC+Pn5ISAgAF999RWSkpJw/vz5u17j8uXLUCgUcHV1rXMsOjoa48ePR7t27TBz5kw4OzsjKSkJAJCTkwMfHx/06NEDbdu2RY8ePTB8+HCD8z08PHD58mUT3xUiImpMTMSIiOix9+yzz0o/KxQKODk5wd/fX9rn5uYGACgoKACgX3QjKSlJeubM3t4efn5+AICLFy/e9Rq3bt2CUqm864Iit1+/djpl7bVGjRqFjIwM+Pr6YvLkyfj3v/9d53xbW1tptI6IiJoGK0s3gIiIyNKsra0NfpfJZAb7apMnnU4HALhx4wYGDBiAJUuW1KnL3d39rtdwdnZGWVkZKisrYWNjc9/r116rS5cuyM7Oxq5du7B3714MHToUERER+OGHH6TyhYWFcHFxaWh3iYjoEcBEjIiIyEhdunTBjz/+CC8vL1hZNexPaefOnQEAZ86ckX5uKLVajZdffhkvv/wyhgwZgqioKBQWFqJly5YA9AuHBAQEGFUnERFZFqcmEhERGWnChAkoLCzE8OHDcfToUVy8eBG7d+/G6NGjUVNTc9dzXFxc0KVLFxw6dMioa61YsQIbN27EuXPncP78eWzevBlardbgPWgHDx5E3759H6ZLRERkZkzEiIiIjOTh4YGUlBTU1NSgb9++8Pf3x9SpU6HRaCCX3/tP62uvvYYNGzYYda0WLVpg6dKlCAwMRLdu3fDbb79h586d0nVSU1NRXFyMIUOGPFSfiIjIvPhCZyIiIjO5desWfH198d133yE4ONgkdb788svo1KkT3n33XZPUR0RE5sERMSIiIjOxtbXF+vXr633xszEqKyvh7++PadOmmaQ+IiIyH46IERERERERmRlHxIiIiIiIiMyMiRgREREREZGZMREjIiIiIiIyMyZiREREREREZsZEjIiIiIiIyMyYiBEREREREZkZEzEiIiIiIiIzYyJGRERERERkZkzEiIiIiIiIzOz/AyDMcH7JKZy8AAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "time = np.arange(0, max(map(lambda d: len(d[\"data\"]), waveforms.values())), 1)\n", "fig, ax = plt.subplots(1, 1, figsize=(10, 10 / 1.61))\n", "\n", "for wf, d in waveforms.items():\n", " ax.plot(time[: len(d[\"data\"])], d[\"data\"], \".-\", linewidth=0.5, label=wf)\n", "\n", "ax.legend(loc=4)\n", "ax.grid(alpha=1 / 10)\n", "ax.set_ylabel(\"Waveform primitive amplitude\")\n", "ax.set_xlabel(\"Time (ns)\")\n", "\n", "plt.draw()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "24100e51", "metadata": {}, "source": [ "Specify the acquisitions\n", "--------------------\n", "\n", "We will only use a single bin in this tutorial, so we can keep it simple" ] }, { "cell_type": "code", "execution_count": 11, "id": "f0d6d188", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:42.278104Z", "iopub.status.busy": "2023-11-29T13:55:42.278007Z", "iopub.status.idle": "2023-11-29T13:55:42.279690Z", "shell.execute_reply": "2023-11-29T13:55:42.279486Z" } }, "outputs": [], "source": [ "# Acquisitions\n", "acquisitions = {\"scope\": {\"num_bins\": 1, \"index\": 0}}" ] }, { "cell_type": "markdown", "id": "5458e80f", "metadata": {}, "source": [ "Create Q1ASM program and upload the sequence\n", "--------------------\n", "\n", "Now that we have the waveform and acquisition specifications for the sequence, we need a simple Q1ASM program that sequences the waveforms and triggers the acquisitions. In this case we will play a gaussian and a sinosoid wave for path 0 and 1 respectively per sequencer." ] }, { "cell_type": "code", "execution_count": 12, "id": "ecbdf992", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:42.280902Z", "iopub.status.busy": "2023-11-29T13:55:42.280776Z", "iopub.status.idle": "2023-11-29T13:55:45.059531Z", "shell.execute_reply": "2023-11-29T13:55:45.059249Z" } }, "outputs": [], "source": [ "# Number of sequencers per instrument\n", "num_seq = 6\n", "\n", "# Program\n", "program = \"\"\"\n", "wait_sync 4\n", "play 0,1,4\n", "wait 140\n", "acquire 0,0,16380\n", "stop\n", "\"\"\"\n", "\n", "# Write sequence to file.\n", "with open(\"sequence.json\", \"w\", encoding=\"utf-8\") as file:\n", " json.dump(\n", " {\n", " \"waveforms\": waveforms,\n", " \"weights\": waveforms,\n", " \"acquisitions\": acquisitions,\n", " \"program\": program,\n", " },\n", " file,\n", " indent=4,\n", " )\n", " file.close()\n", "\n", "# Program sequencers.\n", "for sequencer in readout_module.sequencers:\n", " sequencer.sequence(\"sequence.json\")" ] }, { "cell_type": "markdown", "id": "db2ac924", "metadata": {}, "source": [ "Multiplexed sequencer output control\n", "------------------------------------\n", "Each sequencer has two output paths. The output paths of each sequencer are physically connected to the instrument's outputs. It is possible to map any sequencer output path to any output port by using the sequencer's channel map.\n", "\n", "We can do so by calling `sequencerX.connect_outY(Z)` where `X`, `Y` and `Z` represents sequencer ID $\\in[0,..,5]$, output port number, and `Z`$\\in \\{$`\"off\"`, `\"I\"`, `\"Q\"`$\\}$.\n", "\n", "For most common sequencer configurations, the convenience function `sequencerX.connect_sequencer(config)` can be used to easily set the channel map. Some examples:\n", "\n", "Multiplexed sequencers on a QRM baseband\n", "```python\n", "instrument.disconnect_inputs()\n", "instrument.disconnect_outputs()\n", "for seq in instrument.sequencers:\n", " seq.connect_sequencer(\"io0_1\")\n", "```\n", "\n", "Multiplexed sequencers on a QRM-RF\n", "```python\n", "instrument.disconnect_inputs()\n", "instrument.disconnect_outputs()\n", "for seq in instrument.sequencers:\n", " seq.connect_sequencer(\"io0\")\n", "```\n", "\n", "Sequencers 1:1 on a QCM baseband\n", "```python\n", "instrument.disconnect_outputs()\n", "for idx in range(4):\n", " instrument[f\"sequencer{idx}\"].connect_sequencer(f\"out{idx}\")\n", "```\n", "\n", "Sequencers 1:1 on a QCM-RF\n", "```python\n", "instrument.disconnect_outputs()\n", "for idx in range(2):\n", " instrument[f\"sequencer{idx}\"].connect_sequencer(f\"out{idx}\")\n", "```\n", "\n", "For the sake of this tutorial we will map the in-phase path of each sequencer to the ports with the even output port numbers (indexed from 0) and the quadrature path of each sequencer to the ports with the odd output port numbers.\n", "" ] }, { "cell_type": "markdown", "id": "cd08c2a0", "metadata": {}, "source": [ "Now lets configure the first sequencer to output its in-phase and quadrature paths on $\\text{O}^{1}$ and $\\text{O}^{2}$ respectively. We will scale the amplitude of the signal such that we are able the show what happens when other sequencers are added and eventually output overflow occurs.\n", "\n", "We will also configure the channel map so that inputs $\\text{I}^{[1-2]}$ of the QRM are mapped to the in-phase and quadrature input paths of the same sequencer." ] }, { "cell_type": "code", "execution_count": 13, "id": "7e73fe3d", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:45.061127Z", "iopub.status.busy": "2023-11-29T13:55:45.060961Z", "iopub.status.idle": "2023-11-29T13:55:45.914679Z", "shell.execute_reply": "2023-11-29T13:55:45.913788Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Configure the sequencer to trigger the scope acquisition.\n", "readout_module.scope_acq_sequencer_select(0)\n", "readout_module.scope_acq_trigger_mode_path0(\"sequencer\")\n", "readout_module.scope_acq_trigger_mode_path1(\"sequencer\")\n", "\n", "# Configure sequencer\n", "readout_module.sequencer0.sync_en(True)\n", "readout_module.sequencer0.gain_awg_path0(\n", " 1.1 / num_seq\n", ") # The output range is 1.0 to -1.0, but we want to show what happens when the signals go out of range.\n", "readout_module.sequencer0.gain_awg_path1(1.1 / num_seq)\n", "\n", "readout_module.disconnect_outputs()\n", "readout_module.disconnect_inputs()\n", "\n", "# connect output paths of the sequencer\n", "readout_module.sequencer0.connect_out0(\"I\")\n", "readout_module.sequencer0.connect_out1(\"Q\")\n", "\n", "# connect input paths of the same sequencer.\n", "readout_module.sequencer0.connect_acq_I(\"in0\")\n", "readout_module.sequencer0.connect_acq_Q(\"in1\")\n", "\n", "# Start the sequence\n", "readout_module.arm_sequencer(0)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for the sequencer to stop\n", "readout_module.get_acquisition_state(0, 1)\n", "\n", "# Get acquisition data\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)\n", "\n", "# Plot the results\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len])\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][0:waveform_len])\n", "ax.set_xlabel(\"Time (ns)\")\n", "ax.set_ylabel(\"Relative amplitude\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "1c1c68c5", "metadata": {}, "source": [ "Let's add the second sequencer." ] }, { "cell_type": "code", "execution_count": 14, "id": "ecf24557", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:45.916308Z", "iopub.status.busy": "2023-11-29T13:55:45.916123Z", "iopub.status.idle": "2023-11-29T13:55:46.475968Z", "shell.execute_reply": "2023-11-29T13:55:46.475708Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Configure the sequencer\n", "readout_module.sequencer1.sync_en(True)\n", "readout_module.sequencer1.gain_awg_path0(1.1 / num_seq)\n", "readout_module.sequencer1.gain_awg_path1(1.1 / num_seq)\n", "\n", "readout_module.sequencer1.connect_out0(\"I\")\n", "readout_module.sequencer1.connect_out1(\"Q\")\n", "\n", "# connect input paths of the same sequencer.\n", "readout_module.sequencer1.connect_acq_I(\"in0\")\n", "readout_module.sequencer1.connect_acq_Q(\"in1\")\n", "\n", "# Start the sequencers\n", "for seq in range(0, 2):\n", " readout_module.arm_sequencer(seq)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for sequencers to stop\n", "for seq in range(0, 2):\n", " readout_module.get_acquisition_state(seq, 1)\n", "\n", "# Get acquisition data\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)\n", "\n", "# Plot the results\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len])\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][0:waveform_len])\n", "ax.set_xlabel(\"Time (ns)\")\n", "ax.set_ylabel(\"Relative amplitude\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "03cb0562", "metadata": {}, "source": [ "Let's add the third sequencer." ] }, { "cell_type": "code", "execution_count": 15, "id": "ef6de006", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:46.477401Z", "iopub.status.busy": "2023-11-29T13:55:46.477181Z", "iopub.status.idle": "2023-11-29T13:55:47.077843Z", "shell.execute_reply": "2023-11-29T13:55:47.077572Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Configure the sequencer\n", "readout_module.sequencer2.sync_en(True)\n", "readout_module.sequencer2.gain_awg_path0(1.1 / num_seq)\n", "readout_module.sequencer2.gain_awg_path1(1.1 / num_seq)\n", "\n", "readout_module.sequencer2.connect_out0(\"I\")\n", "readout_module.sequencer2.connect_out1(\"Q\")\n", "\n", "# connect input paths of the same sequencer.\n", "readout_module.sequencer2.connect_acq_I(\"in0\")\n", "readout_module.sequencer2.connect_acq_Q(\"in1\")\n", "\n", "# Start the sequencers\n", "for seq in range(0, 3):\n", " readout_module.arm_sequencer(seq)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for sequencers to stop\n", "for seq in range(0, 3):\n", " readout_module.get_acquisition_state(seq, 1)\n", "\n", "# Get acquisition data\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)\n", "\n", "# Plot the results\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len])\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][0:waveform_len])\n", "ax.set_xlabel(\"Time (ns)\")\n", "ax.set_ylabel(\"Relative amplitude\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "3d6fe427", "metadata": {}, "source": [ "Let's add the fourth sequencer." ] }, { "cell_type": "code", "execution_count": 16, "id": "bace0327", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:47.079498Z", "iopub.status.busy": "2023-11-29T13:55:47.079366Z", "iopub.status.idle": "2023-11-29T13:55:47.721422Z", "shell.execute_reply": "2023-11-29T13:55:47.721150Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Configure the sequencer\n", "readout_module.sequencer3.sync_en(True)\n", "readout_module.sequencer3.gain_awg_path0(1.1 / num_seq)\n", "readout_module.sequencer3.gain_awg_path1(1.1 / num_seq)\n", "\n", "readout_module.sequencer3.connect_out0(\"I\")\n", "readout_module.sequencer3.connect_out1(\"Q\")\n", "\n", "# connect input paths of the same sequencer.\n", "readout_module.sequencer3.connect_acq_I(\"in0\")\n", "readout_module.sequencer3.connect_acq_Q(\"in1\")\n", "\n", "# Start the sequencers\n", "for seq in range(0, 4):\n", " readout_module.arm_sequencer(seq)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for sequencers to stop\n", "for seq in range(0, 4):\n", " readout_module.get_acquisition_state(seq, 1)\n", "\n", "# Get acquisition data\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)\n", "\n", "# Plot the results\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len])\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][0:waveform_len])\n", "ax.set_xlabel(\"Time (ns)\")\n", "ax.set_ylabel(\"Relative amplitude\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "7dcb8758", "metadata": {}, "source": [ "Let's add the fifth sequencer." ] }, { "cell_type": "code", "execution_count": 17, "id": "3c2a0f3d", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:47.722925Z", "iopub.status.busy": "2023-11-29T13:55:47.722793Z", "iopub.status.idle": "2023-11-29T13:55:48.394559Z", "shell.execute_reply": "2023-11-29T13:55:48.394297Z" } }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Configure the sequencer\n", "readout_module.sequencer4.sync_en(True)\n", "readout_module.sequencer4.gain_awg_path0(1.1 / num_seq)\n", "readout_module.sequencer4.gain_awg_path1(1.1 / num_seq)\n", "\n", "readout_module.sequencer4.connect_out0(\"I\")\n", "readout_module.sequencer4.connect_out1(\"Q\")\n", "\n", "# connect input paths of the same sequencer.\n", "readout_module.sequencer4.connect_acq_I(\"in0\")\n", "readout_module.sequencer4.connect_acq_Q(\"in1\")\n", "\n", "# Start the sequencers\n", "for seq in range(0, 5):\n", " readout_module.arm_sequencer(seq)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for sequencers to stop\n", "for seq in range(0, 5):\n", " readout_module.get_acquisition_state(seq, 1)\n", "\n", "# Get acquisition data\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)\n", "\n", "# Plot the results\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len])\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][0:waveform_len])\n", "ax.set_xlabel(\"Time (ns)\")\n", "ax.set_ylabel(\"Relative amplitude\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "877ddac7", "metadata": {}, "source": [ "Let's add the sixth sequencer." ] }, { "cell_type": "code", "execution_count": 18, "id": "a46c2359", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:48.396057Z", "iopub.status.busy": "2023-11-29T13:55:48.395800Z", "iopub.status.idle": "2023-11-29T13:55:49.119625Z", "shell.execute_reply": "2023-11-29T13:55:49.119270Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Configure the sequencer\n", "readout_module.sequencer5.sync_en(True)\n", "readout_module.sequencer5.gain_awg_path0(1.1 / num_seq)\n", "readout_module.sequencer5.gain_awg_path1(1.1 / num_seq)\n", "\n", "readout_module.sequencer5.connect_out0(\"I\")\n", "readout_module.sequencer5.connect_out1(\"Q\")\n", "\n", "# connect input paths of the same sequencer.\n", "readout_module.sequencer5.connect_acq_I(\"in0\")\n", "readout_module.sequencer5.connect_acq_Q(\"in1\")\n", "\n", "# Start the sequencers\n", "for seq in range(0, 6):\n", " readout_module.arm_sequencer(seq)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for sequencers to stop\n", "for seq in range(0, 6):\n", " readout_module.get_acquisition_state(seq, 1)\n", "\n", "# Get acquisition data\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)\n", "\n", "# Plot the results\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len])\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][0:waveform_len])\n", "ax.set_xlabel(\"Time (ns)\")\n", "ax.set_ylabel(\"Relative amplitude\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "2f250fc8", "metadata": {}, "source": [ "Note that now the outputs overflow and the output signal is clipped as intended. Also note that the output range of a QRM is 1 Vpp, while it's input range is 2 Vpp. This causes the signal in the figure to be clipped at 0.5 and -0.5." ] }, { "cell_type": "markdown", "id": "2b65e2ed", "metadata": {}, "source": [ "Frequency multiplexing\n", "----------------------\n", "Next, we will show frequency multiplexing. We will connect the outputs of various sequencers to a single output port pair, modulate their waveforms on unique carrier frequencies and in turn acquire, demodulate and integrate the results fed back into the inputs to validate the acquired signals. In this case, for simplicity, we will modulate a square wave pulse on each sequencer and we will play with the output gain. In order to visualize the frequency multiplexing, we will preform an FFT over the acquired scope acquisitions." ] }, { "cell_type": "code", "execution_count": 19, "id": "23e9566e", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:49.121166Z", "iopub.status.busy": "2023-11-29T13:55:49.120992Z", "iopub.status.idle": "2023-11-29T13:55:52.253112Z", "shell.execute_reply": "2023-11-29T13:55:52.252827Z" } }, "outputs": [], "source": [ "# Reset\n", "if cluster:\n", " cluster.reset()\n", "else:\n", " readout_module.reset()\n", "# Program\n", "program = \"\"\"\n", " wait_sync 4\n", "loop: play 3,3,4\n", " wait 140\n", " acquire 0,0,16380\n", " stop\n", "\"\"\"\n", "\n", "# Write sequence to file\n", "with open(\"sequence.json\", \"w\", encoding=\"utf-8\") as file:\n", " json.dump(\n", " {\n", " \"waveforms\": waveforms,\n", " \"weights\": waveforms,\n", " \"acquisitions\": acquisitions,\n", " \"program\": program,\n", " },\n", " file,\n", " indent=4,\n", " )\n", " file.close()" ] }, { "cell_type": "markdown", "id": "9a866700", "metadata": {}, "source": [ "Lets start with a single sequencer with an AWG gain of 1.0 (only on path 0 to create a \"real\" pulse). Let's modulate it's output with a carrier frequency of 20MHz." ] }, { "cell_type": "code", "execution_count": 20, "id": "1104e7a2", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:52.254792Z", "iopub.status.busy": "2023-11-29T13:55:52.254706Z", "iopub.status.idle": "2023-11-29T13:55:53.399319Z", "shell.execute_reply": "2023-11-29T13:55:53.399043Z" } }, "outputs": [], "source": [ "# Program sequencer\n", "readout_module.sequencer0.sequence(\"sequence.json\")\n", "\n", "readout_module.disconnect_outputs()\n", "readout_module.disconnect_inputs()\n", "\n", "# connect output paths of the sequencer\n", "readout_module.sequencer0.connect_out0(\"I\")\n", "readout_module.sequencer0.connect_out1(\"Q\")\n", "\n", "# connect input paths of the same sequencer.\n", "readout_module.sequencer0.connect_acq_I(\"in0\")\n", "readout_module.sequencer0.connect_acq_Q(\"in1\")\n", "\n", "# Configure sequencer\n", "readout_module.sequencer0.sync_en(True)\n", "readout_module.sequencer0.gain_awg_path0(1.0)\n", "readout_module.sequencer0.gain_awg_path1(0.0)\n", "readout_module.sequencer0.nco_freq(20e6)\n", "readout_module.sequencer0.mod_en_awg(True)\n", "readout_module.sequencer0.demod_en_acq(True)\n", "readout_module.sequencer0.integration_length_acq(waveform_len)" ] }, { "cell_type": "code", "execution_count": 21, "id": "5ffcbfa6", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:53.400925Z", "iopub.status.busy": "2023-11-29T13:55:53.400793Z", "iopub.status.idle": "2023-11-29T13:55:53.564316Z", "shell.execute_reply": "2023-11-29T13:55:53.563927Z" }, "tags": [] }, "outputs": [], "source": [ "# Start the sequencer\n", "readout_module.arm_sequencer(0)\n", "readout_module.start_sequencer(0)\n", "\n", "# Wait for the sequencer to stop\n", "readout_module.get_acquisition_state(0, 1)\n", "\n", "# Get acquisition data\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)" ] }, { "cell_type": "markdown", "id": "7ad310af", "metadata": {}, "source": [ "Now lets have a look at the FFT of the scope acquisition to verify the presence of one tone at 20MHz." ] }, { "cell_type": "code", "execution_count": 22, "id": "11faaeda", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:53.566411Z", "iopub.status.busy": "2023-11-29T13:55:53.566215Z", "iopub.status.idle": "2023-11-29T13:55:53.645644Z", "shell.execute_reply": "2023-11-29T13:55:53.645407Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the FFT\n", "fig, bx = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "yf = abs(rfft(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len]))\n", "xf = rfftfreq(1000, 1 / 1e3)\n", "norm_fact = readout_module.sequencer0.gain_awg_path0() / 2 / np.max(yf)\n", "bx.plot(xf[0:100], yf[0:100] * norm_fact)\n", "bx.set_xlabel(\"Frequency (MHz)\")\n", "bx.set_ylabel(\"Amplitude\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "1cbcdccb", "metadata": {}, "source": [ "Now let's have a look at the hardware demodulated and integrated results and check if it matches our expectations. Don't forget that we need to divide the integration results by the integration length. In this case, the integration length is the same as the waveform length." ] }, { "cell_type": "code", "execution_count": 23, "id": "c119480c", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:53.647011Z", "iopub.status.busy": "2023-11-29T13:55:53.646916Z", "iopub.status.idle": "2023-11-29T13:55:53.649750Z", "shell.execute_reply": "2023-11-29T13:55:53.649437Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Integration results:\n", "I = 0.5276145578895945\n", "Q = -0.06205276013678554\n", "R = sqrt(I^2 + Q^2) = 0.5312510392814548\n" ] } ], "source": [ "bins = acq[\"scope\"][\"acquisition\"][\"bins\"]\n", "I = bins[\"integration\"][\"path0\"][0] / waveform_len\n", "Q = bins[\"integration\"][\"path1\"][0] / waveform_len\n", "print(\"Integration results:\")\n", "print(f\"I = {I}\")\n", "print(f\"Q = {Q}\")\n", "print(\"R = sqrt(I^2 + Q^2) = {}\".format(math.sqrt(I**2 + Q**2)))" ] }, { "cell_type": "markdown", "id": "52a4c439", "metadata": {}, "source": [ "The pulse acquired at the inputs is automatically demodulated at 20MHz, but due to phase rotation caused by output-to-input latency the result is not purely real. However the amplitude of the IQ vector is 0.5 as expected because: 1Vpp output range / 2Vpp input range = 0.5.\n", "\n", "Now lets increase the number of sequencers to three, each with a slightly different AWG gain. We will modulate the signals of sequencer 0 to 2 with a carrier frequencies at 20MHz, 30MHz and 40MHz respectively." ] }, { "cell_type": "code", "execution_count": 24, "id": "fb25b7de", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:53.651185Z", "iopub.status.busy": "2023-11-29T13:55:53.650940Z", "iopub.status.idle": "2023-11-29T13:55:56.463176Z", "shell.execute_reply": "2023-11-29T13:55:56.462860Z" } }, "outputs": [], "source": [ "num_seq = 3\n", "for seq in range(0, num_seq):\n", " # Program sequencers\n", " readout_module.sequencers[seq].sequence(\"sequence.json\")\n", "\n", " # Configure the channel map\n", " readout_module.sequencers[seq].connect_out0(\"I\")\n", " readout_module.sequencers[seq].connect_out1(\"Q\")\n", "\n", " # Connect input paths of the same sequencer.\n", " readout_module.sequencers[seq].connect_acq_I(\"in0\")\n", " readout_module.sequencers[seq].connect_acq_Q(\"in1\")\n", "\n", " # Configure the sequencers\n", " readout_module.sequencers[seq].sync_en(True)\n", " readout_module.sequencers[seq].mod_en_awg(True)\n", " readout_module.sequencers[seq].demod_en_acq(True)\n", " readout_module.sequencers[seq].integration_length_acq(waveform_len)\n", "\n", "# Set the gains\n", "readout_module.sequencer0.gain_awg_path0(0.5)\n", "readout_module.sequencer0.gain_awg_path1(0.0)\n", "readout_module.sequencer1.gain_awg_path0(0.25)\n", "readout_module.sequencer1.gain_awg_path1(0.0)\n", "readout_module.sequencer2.gain_awg_path0(0.125)\n", "readout_module.sequencer2.gain_awg_path1(0.0)\n", "\n", "# Set the frequencies\n", "readout_module.sequencer0.nco_freq(20e6)\n", "readout_module.sequencer1.nco_freq(30e6)\n", "readout_module.sequencer2.nco_freq(40e6)" ] }, { "cell_type": "code", "execution_count": 25, "id": "50fdcfe4", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:56.465197Z", "iopub.status.busy": "2023-11-29T13:55:56.464954Z", "iopub.status.idle": "2023-11-29T13:55:56.703791Z", "shell.execute_reply": "2023-11-29T13:55:56.703519Z" } }, "outputs": [], "source": [ "# Start the sequencers\n", "for seq in range(0, 3):\n", " readout_module.arm_sequencer(seq)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for sequencers to stop\n", "for seq in range(0, 3):\n", " readout_module.get_acquisition_state(seq, timeout=1)\n", "\n", "# Get acquisition data\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)" ] }, { "cell_type": "markdown", "id": "d69003f1", "metadata": {}, "source": [ "Now lets have a look at the FFT of the scope acquisition to verify the presence of three tones at 20MHz, 30Mhz and 40MHz." ] }, { "cell_type": "code", "execution_count": 26, "id": "49364c36", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:56.705355Z", "iopub.status.busy": "2023-11-29T13:55:56.705260Z", "iopub.status.idle": "2023-11-29T13:55:56.755941Z", "shell.execute_reply": "2023-11-29T13:55:56.755683Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the FFT\n", "fig, bx = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "yf = abs(rfft(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len]))\n", "xf = rfftfreq(1000, 1 / 1e3)\n", "bx.plot(xf[0:100], yf[0:100] * norm_fact)\n", "bx.set_xlabel(\"Frequency (MHz)\")\n", "bx.set_ylabel(\"Amplitude\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "d64f25dc", "metadata": {}, "source": [ "Now let's check if the hardware demodulated and integrated results match our expectations." ] }, { "cell_type": "code", "execution_count": 27, "id": "1b4ef082", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:56.757289Z", "iopub.status.busy": "2023-11-29T13:55:56.757196Z", "iopub.status.idle": "2023-11-29T13:55:57.025961Z", "shell.execute_reply": "2023-11-29T13:55:57.025679Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sequencer 0\n", "Integration results:\n", "I = 0.26422129946262823\n", "Q = -0.030628236443575964\n", "R = sqrt(I^2 + Q^2) = 0.26599057118131736\n", "---------------------------------------------------------------------------------\n", "Sequencer 1\n", "Integration results:\n", "I = -0.12921006350757205\n", "Q = 0.02440156326331216\n", "R = sqrt(I^2 + Q^2) = 0.13149401811992906\n", "---------------------------------------------------------------------------------\n", "Sequencer 2\n", "Integration results:\n", "I = 0.06435759648265754\n", "Q = -0.012909623839765511\n", "R = sqrt(I^2 + Q^2) = 0.06563961161302538\n", "---------------------------------------------------------------------------------\n" ] } ], "source": [ "for seq in range(0, num_seq):\n", " readout_module.store_scope_acquisition(seq, \"scope\")\n", " acq = readout_module.get_acquisitions(seq)\n", " bins = acq[\"scope\"][\"acquisition\"][\"bins\"]\n", " I = bins[\"integration\"][\"path0\"][0] / waveform_len\n", " Q = bins[\"integration\"][\"path1\"][0] / waveform_len\n", " print(f\"Sequencer {seq}\")\n", " print(\"Integration results:\")\n", " print(f\"I = {I}\")\n", " print(f\"Q = {Q}\")\n", " print(\"R = sqrt(I^2 + Q^2) = {}\".format(math.sqrt(I**2 + Q**2)))\n", " print(\"---------------------------------------------------------------------------------\")" ] }, { "cell_type": "markdown", "id": "0664c7b4", "metadata": {}, "source": [ "Again, the acquired signals on the input are automatically demodulated at 20MHz, 30MHz and 40MHz and we see that the amplitude of the IQ vectors match the gain values we set divided by two, which matches our expectations.\n", "\n", "Now, let's try it one final time with six sequencers, each with 0.15 AWG gain. We will modulate the outputs of sequencer 0 to 5 with carrier frequencies at 20MHz, 30Mhz, 40MHz, 50MHz, 60MHz and 70MHz respectively." ] }, { "cell_type": "code", "execution_count": 28, "id": "caa1b4fa", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:55:57.027274Z", "iopub.status.busy": "2023-11-29T13:55:57.027102Z", "iopub.status.idle": "2023-11-29T13:56:02.608998Z", "shell.execute_reply": "2023-11-29T13:56:02.608717Z" } }, "outputs": [], "source": [ "num_seq = 6\n", "for seq in range(0, num_seq):\n", " # Program sequencers\n", " readout_module.sequencers[seq].sequence(\"sequence.json\")\n", "\n", " # Configure the channel map\n", " readout_module.sequencers[seq].connect_out0(\"I\")\n", " readout_module.sequencers[seq].connect_out1(\"Q\")\n", "\n", " # Connect input paths of the same sequencer.\n", " readout_module.sequencers[seq].connect_acq_I(\"in0\")\n", " readout_module.sequencers[seq].connect_acq_Q(\"in1\")\n", "\n", " # Configure the sequencers\n", " readout_module.sequencers[seq].sync_en(True)\n", " readout_module.sequencers[seq].gain_awg_path0(0.15)\n", " readout_module.sequencers[seq].gain_awg_path1(0.0)\n", " readout_module.sequencers[seq].mod_en_awg(True)\n", " readout_module.sequencers[seq].demod_en_acq(True)\n", " readout_module.sequencers[seq].integration_length_acq(waveform_len)\n", "\n", "# Set the frequencies\n", "readout_module.sequencer0.nco_freq(20e6)\n", "readout_module.sequencer1.nco_freq(30e6)\n", "readout_module.sequencer2.nco_freq(40e6)\n", "readout_module.sequencer3.nco_freq(50e6)\n", "readout_module.sequencer4.nco_freq(60e6)\n", "readout_module.sequencer5.nco_freq(70e6)" ] }, { "cell_type": "code", "execution_count": 29, "id": "001b52b7", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:56:02.610723Z", "iopub.status.busy": "2023-11-29T13:56:02.610486Z", "iopub.status.idle": "2023-11-29T13:56:02.979493Z", "shell.execute_reply": "2023-11-29T13:56:02.979205Z" } }, "outputs": [], "source": [ "# Start the sequencers\n", "for seq in range(0, 6):\n", " readout_module.arm_sequencer(seq)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for sequencers to stop\n", "for seq in range(0, 6):\n", " readout_module.get_acquisition_state(seq, timeout=1)\n", "\n", "# Get acquisition data\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)" ] }, { "cell_type": "markdown", "id": "24f95e17", "metadata": {}, "source": [ "Now lets have a look at the FFT of the scope acquisition to verify the presence of six tones at 20MHz, 30Mhz, 40MHz, 50MHz, 60MHz and 70MHz" ] }, { "cell_type": "code", "execution_count": 30, "id": "fe8c6580", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:56:02.981318Z", "iopub.status.busy": "2023-11-29T13:56:02.981159Z", "iopub.status.idle": "2023-11-29T13:56:03.038972Z", "shell.execute_reply": "2023-11-29T13:56:03.038706Z" } }, "outputs": [ { "data": { "image/png": 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jyExUtMWHu8iIbzVfgjbz+IMaVog1m9MuLU1JVl0GgCGCoA0AqtBvRRt3n41TrqKNdjITFW3xkfHdbPBCUdrKNE6fak4m1NqUKnkMZvH3Kff4x40GAIg1gjYAqIJbJZWios10/iqBliaqpExl27a3yAgVbcYr7VfJksdgDje8bkq4xz/CazP5b+BxowEAhgaCNgCoglMR5ZwMp7mAMZY3HDHpBaK0k3Fy+YLs4pztJeENbWUe27a9UMBffUNbGSfje6/yVscmEDWRF14nvGkOCK8BINYI2gCgCs7qek7VTZqKNmN5wxETXiBKOxnHP+wwnfIq2mgr8+TyXluVVIoSChin7HBEAlEjlasSpU8BQLwRtAFAFbK+E+LiZ+YoMlW5irauvK18wY5yt9CLc5FpWcX5pKhoM5c/qGnxD3MjFDWOG96kkr6ho7STiUqrD50bDRz/ACDOCNoAoAr9VbRxAWOechVtEtWHpsn6Fq2wLMt3oUk7mSbrC0WbkpYbYFMpZR7/NAdOO3UXbHXnaSvTZMtWH3L8A4A4I2gDgCpkfRNMS76KNi40jeOvaHMCUYlQwDTeRWbPvIfMp2cst/ImlZRlWd6qy4SiximZ96vJO/5RfW2egzl/9SFBGwAMBQRtAFAFN7xJlYYCVN+YJ+uraEsmLDUlreLjtJVRMl2lVaJUtJnLP++X5K/oJbwxTcZdITvp9i2JAMdEbija7LUVfQoA4o2gDQCqkOlV0Zamos1YGV9FmySGuRmKirb4yPQzRyXhjXm8oaMJJRKWmpPM/WWqjO8GXmszFW0AMBREHrTdeuutmjBhglpaWjRr1iw9+eSTA25///33a9KkSWppadGUKVP04IMP9tnm2Wef1dlnn61Ro0Zp+PDhev/7368dO3aE9SsAOITkeoU3VLSZK9vVq/qmiRViTdS7os2/Qqxts3CFSbK9w2tWszSWd1Oo572KUNRYJcN8e84pDtJOABBrkQZt9913n1asWKFrr71W27Zt09SpUzV37lzt2rWr7PaPPfaYFi1apGXLlumpp57SggULtGDBAm3fvt3d5qWXXtLpp5+uSZMmadOmTXr66ad19dVXq6WlpVG/FoAhzD/Bvv8z1Tfm8RaucEJRhuSYqL+KNtsurhILc/Q+/lHRZq5Mr2kOmPvLXKWrjlLRCwBDQaRB2w033KCLLrpIS5cu1UknnaQ1a9Zo2LBhWrt2bdntb775Zs2bN0+XXXaZTjzxRF133XU69dRTtXr1anebf/zHf9QnPvEJfetb39Ipp5yi97znPTr77LM1duzYfvcjm82qs7Oz5AMAysn2Cm/ck2KG4xilO19QvlAMaVr6LFzBhaZJ+pujTaJS1DRuW/Uejk07GSfTq6LXC0V5rzJN6cIVzFEJAENBZEFbLpfT1q1bNWfOHG9nEgnNmTNHmzdvLvuczZs3l2wvSXPnznW3LxQK+ulPf6r3vve9mjt3rsaOHatZs2Zp3bp1A+7LypUrNWrUKPdj/Pjx9f1yAIYsb+hUaUUbVQJm8c9DlO6zcAUXmibpXdHWnEzIKq5bQb8yjBsIpJij0nT+KinJC0W50WAe9xjIqqMAMGREFrTt3r1b+XxebW1tJY+3tbWpo6Oj7HM6OjoG3H7Xrl3at2+fvvnNb2revHn6xS9+oU996lP69Kc/rYcffrjffbniiiv0zjvvuB+vvvpqnb8dgKHKGzpFRZvJ/BcpDHMzm1fRVuxLlmUxJNtQfRZDSDHvoan6VrRRfWiq0qGjVB4CwFCQinoHglQoFN+UPvnJT+qLX/yiJGnatGl67LHHtGbNGp1xxhlln5dOp5VOpxu2nwDiqTtfUHev4YhUtJnJCT6bk8UV9yRCUVNle63kKxXbKtNVIMAxTKZXRS+LIZjLXyUlMXTUZP5Q1K285pwCAGItsoq2MWPGKJlMaufOnSWP79y5U+3t7WWf097ePuD2Y8aMUSqV0kknnVSyzYknnsiqowDqli07HDHR52eIXqZMeEMoaqbek7ZLLFxhqmzvijaqRI3VZ+goqy4by79CLENHAWBoiCxoa25u1vTp07Vx40b3sUKhoI0bN2r27NllnzN79uyS7SVpw4YN7vbNzc16//vfr+eff75kmxdeeEF/9md/FvBvAOBQUxq0lVZ0ELSZJdvrItP/NW1llqw7wX5pRZtEKGCabK9QNE0oYKzeNxsIr8110Bdge4sh0E4AEGeRDh1dsWKFlixZohkzZmjmzJm66aabtH//fi1dulSStHjxYh199NFauXKlJOmSSy7RGWecoVWrVmn+/Pm69957tWXLFt1+++3ua1522WU699xz9aEPfUgf+chHtH79ev3kJz/Rpk2bovgVAQwhzkW/fziiN5cUF5omceYhctrH/zVtZZZMryFukpijzVC9wxuGjpqLUDQ+3OrDVMLtU7nuggoF2z3XAADES6RB27nnnqs333xT11xzjTo6OjRt2jStX7/eXfBgx44dSiS8i6TTTjtNd999t6666ipdeeWVmjhxotatW6fJkye723zqU5/SmjVrtHLlSn3hC1/QCSecoH//93/X6aef3vDfD8DQ4k3aXq7yhgtNkwxU0caFplnKDfNl4nYz9V4Mwa2Sop2M0ycUTRGKmsppq9bmZMl7Vra7oNbmZH9PAwAYLPLFEJYvX67ly5eX/Vm5KrSFCxdq4cKFA77mhRdeqAsvvDCI3QMAl1PRlvadCKeZo8hIA1a0EYoapXfljURFm6n8lTeS70YD7WScPivE8l5lLPcY2JR0+5ZUbCuCNgCIp8jmaAOAuClX0eYsikB4Y5bek7b7v+ZC0yxUtMWHf9J2yQvcaCfz9LcYAm1lHjcUTSWVSibUlCwOFz3IexUAxBZBGwBUKFs2EHCqpDghNolXIeALRRnmaySvoq3cfHq0lUn8lTf+z7STeby5D53qQ/qUqbzqw97DfDmvAIC4ImgDgAqVH+JW/LorbytfsCPZL/TlVt6UGY7IxYtZsl3lhmRzoWmiPoEA7WSs3vNUEt6Yq3f1YZpFRgAg9gjaAKBC5Ye4eV9T1WaOchVtLFxhprJt5YQCtJVRnPZwAmzm/TJX3znaCNpMZNu2N6doU2n1IcN8ASC+CNoAoEIDVbRJ3H02CRVt8VG2rRjmZqTeFW1pAlFj9a0+ZDEYE+XyBdk9xfCEogAwdBC0AUCFylW0JROWO3ExFW3m8IZNlZlgn/DGKANXtNGnTJL1TdoueW2WL9jqztOvTNK7+jDN0FEj+d+PevcrbjQAQHwRtAFAhbLdfVcdLX5PgGMadyhOmYo2AlGzZHqFNxIVbabqbzEEiao2k3TnC+6coW71oTvMl3YyiRNeJyy5N+2YTw8A4o+gDQAq1Psi00GAYx7nYjJNRZvx3ACbijbj9R06mujzM0TPH3r2GY5InzLKQd9cepZluV9LtBUAxBlBGwBUyJtLqvTQ6U6yT4BjDCf09FdJMUeRmZijLT7cALunrSzLYu5DA/nbwmkfbjSYqfeKo8WvqT4EgLgjaAOACg1W0caFpjnKVbQ54UCWdjJK+TnaWHXPRE57MPeh2fw3hdwqKafymuOfUZy2am3y32hg6CgAxB1BGwBUKNtPRZtzUkyllDnKrRBLRZuZyle0USVqooxvmJuDGw3mKV8lRXhjonKLLLUSXgNA7BG0AUCFsr1WcXNwoWmechcvrLpnHtu2y8/R1sS8h6axbXvAuQ8JsM3Rey694tfOvF+0k0kyA9wUOsh7FQDEFkEbAFSo3MWL5F8MgQsYUwxU0UbQZo5cviC7uDhiryopQlHT5PJ9J9gvfs2QRNO4c1SWnfeLdjJJ2VCUaQ4AIPYI2gCgQv1VtFHRYZ6BKtpoJ3P4h0b5h2QzzNc8/rYqDbBZIdE07tDRMu1EnzJLueHYDPMFgPgjaAOACmXLTAQuMXTURE4lQLmKtu6Cre48F5smcPqUZUnNyb4VHfQpczh9yrKkpqTlPu61FX3KFOVuNDjtlC/Y6uL4Z4wsq44CwJBE0AYAFXLnJ6KizXjlVoj1f01bmSHr9ilvdUTJCwhoJ3P4q6TKtRWhqDnKDZ33h260lTkGXMmXKlEAiC2CNgCokFN9k6aizXjlKjr8FVO0lRnKzSUlMUebicoFAsXvqWgzTfmh8/7jH21likyZ6us0Q0cBIPYI2gCgQv1VtFF9Y55yFR2JhKVmJxSlrYyQ8VW0+TFHm3nKzSUl+ReDIRQwRabMcETLsrgpZKCDOWclX1/1dYqhowAQdwRtAFCh/ira3BXCuNA0RrmKDskXCnChaQQq2uKj3HBs//eEAuboLxT1pjmgX5liwKGjHP8AILYI2gCgQtkyK7lJvoo2LjSNUW7VPYlQwDT9tZO/StS27YbvF/pyw+t+qg8JBczhhjf9thXHP1M4/aa13KqjVPQCQGwRtAFAhTJUtMWCbdv9Vx82MczNJP23U7FP2baUY4VEI7jDfHtXSaWYuN005YaO+r8nFDVHubZy36doJwCILYI2AKhQtp/5pNJUCRilK2+r0FME1adSKkVFm0n6rWhj4nbjeJO2lw9Fqeg1R7arn4UrOP4Zp1xbtRKIAkDsEbQBQIWY9yYe/O1ARZvZ+qtoa04mZFml2yBa/R//GDpqmsHaij5ljkyZeSqZ4gAA4o+gDQAq5EwG3qeiLcUcbSbxX5z0bSsuYEzS30q+lmV5Q7JpKyNk3MUQyvcpVog1R3+r+aYJcIxTrqrX6WMHCa8BILYI2gCgAsV5v8rPe5NmjiKjuFVSqYQspyyqBxUdZsn2szqs/zHaygxZKtpio//VfGkr05RbIZtVlwEg/gjaAKAC/mqN/lbdo/LGDP1VcxQfo0rKJG6VVK+KNv9jVN+YIdtPW6WZT8o4/S5c0cRNIdOUG+brTUfBqssAEFcEbQBQgdKgjYo2k/U3P1HxsZ6KDtrKCO4CI1S0Ga9c5Y3EfFImcuf96mfhCtrKHAOtOioxJBsA4oqgDQAq4AybSlhSU7J0OGKaijajuHPplQlvmPfLLF4gQEWb6fqdYD9FeG2aQduK6kNjlAtF/e1GWwFAPBG0AUAFvIUQkn3m/aKizSzuXFJlwps080kZpb8qKf9jVLSZwZu0nSop05WrkvJ/n+X4Z4xMrm8o2pRMKJkonmfQrwAgngjaAKAC3uTS5eb9oqLNJP0tWiGxQqJp+pv3y/8YF5pm8ELR8hPsE96Yw6toKz+faIbjnzEy/bxfUX0IAPFG0AYAFfAm2C837xfhjUncQKDcYghUtBmlkoo22soM/QXYHP/MM2hb0aeM4RzfWlm4AgCGFII2AKiAU9FWNhDgzrNRBqpoa2GYr1G8irYBVoglwDFC/1VSrDpqmkw/w+cZ5msW27Yr6Fe0FQDEkRFB26233qoJEyaopaVFs2bN0pNPPjng9vfff78mTZqklpYWTZkyRQ8++GDJzy+44AJZllXyMW/evDB/BQBDnDc/0cAVbbZtN3S/0FclFW0M8zVDtp/hiMXHCLBNkukuX9XbQjsZp79K0TQLVxilK2+r0HPK0GdINv0KAGIt8qDtvvvu04oVK3Tttddq27Ztmjp1qubOnatdu3aV3f6xxx7TokWLtGzZMj311FNasGCBFixYoO3bt5dsN2/ePL3xxhvuxz333NOIXwfAEDVgRZvvMapvotffinuSv6KNdjKBV304wAqxtJURBq28oZ2M0d/ch2mqD43iDzx796tW2goAYi3yoO2GG27QRRddpKVLl+qkk07SmjVrNGzYMK1du7bs9jfffLPmzZunyy67TCeeeKKuu+46nXrqqVq9enXJdul0Wu3t7e7HEUcc0e8+ZLNZdXZ2lnwAgF92gIo2f+UUoUD03BViy4U3zFFklP6GuElUSpmmv9V8ne/zBVtdeY5/URtwOKI7zQHtZAKnnSxLak4yJBsAhpJIg7ZcLqetW7dqzpw57mOJREJz5szR5s2byz5n8+bNJdtL0ty5c/tsv2nTJo0dO1YnnHCCPve5z+lPf/pTv/uxcuVKjRo1yv0YP358Hb8VgKEoM0BFW3MyIcsqfp1lSE7kBlq4whs6xYWmCQYKRZmjzSz9zX3obztCgegNNByR8MYs/ht4lnMS0cO70cDxDwDiKNKgbffu3crn82prayt5vK2tTR0dHWWf09HRMej28+bN07/+679q48aNuv766/Xwww/r4x//uPL58icWV1xxhd555x3349VXX63zNwMw1GTd8KbvYdOyLPdx5v6KnhN2lh2OSEWbUahoi4/+qqSo6DXLQMMRGeZrlv76lOSb5oDjHwDEUirqHQjDZz7zGffrKVOm6H3ve5/e8573aNOmTTrzzDP7bJ9Op5VOpxu5iwBiJjPApO1S8QIm01Wgos0AVLTFBxVt8eEuCNPrGOjcaMh2FwgFDDDwcETnhhDtZIL++pT/MfoUAMRTpBVtY8aMUTKZ1M6dO0se37lzp9rb28s+p729vartJem4447TmDFj9Lvf/a7+nQZwSHIDgTIVbf7HGeYRPSra4sNbIZaKNtO5w+fLHAO9UIDjX9QGHo5IeGOSgwMs3OOuOsqNBgCIpUiDtubmZk2fPl0bN250HysUCtq4caNmz55d9jmzZ88u2V6SNmzY0O/2kvTHP/5Rf/rTn3TUUUcFs+MADjn9zU/kcAMcKtoiN2BFm1PRwcWLEQZadZTh2GYZcDVfQlFjVDIckeOfGbwbDQOF1/QpAIijyFcdXbFihb773e/qrrvu0rPPPqvPfe5z2r9/v5YuXSpJWrx4sa644gp3+0suuUTr16/XqlWr9Nxzz+krX/mKtmzZouXLl0uS9u3bp8suu0yPP/64XnnlFW3cuFGf/OQndfzxx2vu3LmR/I4A4m+gE2L/44QC0csMVNHGvDdGGbiijfDaFMWVLCtYzZe2itxANxoIRM0yYHidokoUAOIs8jnazj33XL355pu65ppr1NHRoWnTpmn9+vXuggc7duxQIuGd1J122mm6++67ddVVV+nKK6/UxIkTtW7dOk2ePFmSlEwm9fTTT+uuu+7Snj17NG7cOH3sYx/TddddxzxsAGrmDR0tX9HmPJ7hQjNy2QHnvaGizRS2bQ88Rxur7hkjl/faoOwwN4bOG2PAGw0M8TWKMyy0lSpRABhyIg/aJGn58uVuRVpvmzZt6vPYwoULtXDhwrLbt7a26uc//3mQuwcAAw7H8T9ORVv0sgPMJZWmos0YuXxBtl38eqCKDqqkoucPZsqvEEtbmWKgGw3eYjB52bbdZw43NNaAw3zpUwAQa5EPHQWAOKCiLT4qqWjLdBUvNBEdf3jDBPtmcxYPSVhSU7JvOMMwN3MMtEK285htl1YpIhrZiuY9pJ0AII4I2gCgAlS0xcdAqyM6gWjBlroLBG1Rcio1LEtqTg6wGALhdeT8836Vq4JKM8zNGO7Q0bLhtfcYAU70MgPcFGplMQQAiDWCNgCoQMUVbZwUR27AoVMlF5q0VZSybniT6Ce8oUrKFAPN+1V8nLYyxUDhTXMyIaerZTn+RW6gG3jO8e8g7QQAsUTQBgAVcIK2/i40veobLjSjNnBFm/cYbRWtbHf/w6YkKtpMMtDqiP7HCa+jN1B4Y1kWw3wN4r1X9T/vIX0KAOKJoA0AKuDOe9NfRZs7cTEXL1EbKBSwLMu3QiIXMFFyK2/66VNUSZnDu9HQT1v5JtlHtAYPRWkrUwxUfdjCSr4AEGsEbQBQAW/o6MAVbYQ30Rus+rCFUNQI7uqwg1aJ0qei5t1o6KetmKPSGO7xb5AAm7aKXiWrjnJOAQDxRNAGABUYaHUw/+OEN9EbtPqQUNQI1VS0sUJstAaqvJF8q44SikbOW3V0kPn0aKvIHRxw1VHOKQAgzgjaAKACbkXbINU3hDfRsm170LZiSKIZBq1oa2I+PVMMVtFGlZQ5Bhs6ynuVOdyFewZYIZZ2AoB4ImgDgAq4FW39ztHGYggmyOULcoqfBqtoY0hitAataPM9Tr+KVsXzfhEKRM4bOtpfgM2NBlMM1K8YOgoA8UbQBgAVyAxWJZVimIcJ/BePg87RxoVmpAaraGtKWkpYPdtysRmpTIXzHhIKRM8bOjrIwhW0VeSc4butzeUWQyAQBYA4I2gDgApkK5wMnIuXaDnhjWVJzcn+QgEq2kzgXED2V3lYXCGWANsEg81RSZWUOQadT49Q1BgDHQP9q8MyRyUAxE9NQduePXv0ve99T1dccYXeeustSdK2bdv02muvBbpzAGAKr6Jj4GFuBALRyroXLglZllV2mzSVAkbIDjJpu8SQRFMMtpIlw7HNMdBKlv7HM7xXRW6gtnLCa9suTokAAIiXVLVPePrppzVnzhyNGjVKr7zyii666CIdeeSR+uEPf6gdO3boX//1X8PYTwCITHe+oHyheEeZijazORf6/QWixZ8RCpggM0h4IzmhaBcBdsQqXsmS8Dpyg/Urb+g8x7+oDTRHW6vvsUxXod/KXwCAmaquaFuxYoUuuOACvfjii2ppaXEf/8QnPqFf/vKXge4cAJjAf5Hf/0puVLSZIOOraOsPFW1mcKsPqWgz3qCLIaS8YW6I1uBtxdBRUww0zJc5KgEg3qoO2n71q1/pb//2b/s8fvTRR6ujoyOQnQIAk/gvSAad94sT4khVUtFG9aEZnFBm8Io2AuyoeSvEUtFmumyFQ0fpU9Hz3q/6tpVlWW6/Osh7FQDETtVBWzqdVmdnZ5/HX3jhBb3rXe8KZKcAwCTOBUlzMqFEYuB5v7h4iVY1FW20VbQGG44oUdFmCm+FWIYjmm6wRUZYDMEcXoA9WFvxXgUAcVN10Hb22Wfrq1/9qrq6uiQV77js2LFDl19+uf7yL/8y8B0EgKhVEwhwoRmtwYZNFX9GeGOCwSbYlxjma4rBV7KkT5kiM0CVlMQKsSapeEg2/QoAYqfqoG3VqlXat2+fxo4dq4MHD+qMM87Q8ccfrxEjRujrX/96GPsIAJFyAoGBJiN2AwGqpCLltdVAoSgVbSYYbHVEyQu3WbgiWoO1FVWi5sgSisZCV76g7p5Flvof5kv1IQDEVdWrjo4aNUobNmzQo48+qqefflr79u3Tqaeeqjlz5oSxfwAQObfyhoo241VS0ZamSsAIlYSiVLSZITPIzQbCG3MMWtHGTSEj+PtKv4ssNdFWABBXVQdtjtNPP12nn356kPsCAEZyh45WEghwQhypSqoPqWgzQ7aKYb5UtEVrsIq2FgIBY3jvV4SiJvPfPOjv3IK2AoD4qiho+853vlPxC37hC1+oeWcAwESVDR0tnhDnC7a68wWl+lmdFOGqZD49KtrM4ParAStFqWgzgRuK9hfe9DyeL9jqyhfUxPEvErZtDz6fXorhiCbwh9eWVX6RJdoKAOKroqDtxhtvLPn+zTff1IEDB3T44YdLkvbs2aNhw4Zp7NixBG0AhpxK5pLyX9RkuwnaolLJBPuEN2bIDBLeSF4oSkVbtLzh8/0NcfOOd5muPEFbRPxVuoNVH2Y5/kUq211FRS9tBQCxU9GZ0Msvv+x+fP3rX9e0adP07LPP6q233tJbb72lZ599Vqeeeqquu+66sPcXABqumoo2ibvPUaqmoo3wJlpUtMXH4Ish+I9/tFVU/IHMoIshcPyLlFt5WMlNIdoKAGKn6luOV199tW655RadcMIJ7mMnnHCCbrzxRl111VWB7hwAmCBbQUVbImGpOekEOFxoRqWaixeqBKJFRVt8DDYc0bIshmQbwAlkkgmr36pCjn9mqKRSvpVVRwEgtqoO2t544w11d3f3eTyfz2vnzp2B7BQAmGSwFfccXGhGzwlkBq6SIrwxARVt8eEEOAMtCMMiI9GrZOEeKtrMMFh4LflWHeX4BwCxU3XQduaZZ+pv//ZvtW3bNvexrVu36nOf+5zmzJkT6M4BgAmyFQxH9P+cC83oVFLR5q4Qy8VLpAZbHbH4M2eOIkKBKGWqWCGWGw3RqSi8YYJ9I3jTHAzepw7SVgAQO1UHbWvXrlV7e7tmzJihdDqtdDqtmTNnqq2tTd/73vfC2EcAiFQlE+xL3gUMQVt0vAmmqegwnTfBPlVSJvOvZFlJ9SGVotFxj38VVB5yoyFamaraij4FAHFT0aqjfu9617v04IMP6oUXXtBzzz0nSZo0aZLe+973Br5zAGCCaivaOCmOjjPv0EBDp9xAlAvNSFVT0Uafik4uP/gE+5J3I4IAJzqVVbTRp0xwMFdBlSh9CgBiq+qgzfHe976XcA3AIcGrvBm4oq2FirbIeRVtFQxxo/ImMtVXSdGnouK/yB94kRECnKhVNhzR61O2bcuyrIbsG0plKqroZeg8AMRV1UHbhRdeOODP165dW/POAICJKplgWqKizQSVhDdUtEWv4iop+lTknIv8hCU1JfsPZZj7MHqVrGTp/1m2uzDoDSSEI1vRvIc9fYqbQgAQO1UHbW+//XbJ911dXdq+fbv27Nmjj370o4HtGACYwl0dcbCgLcViCFFzLzQHGo7oq2ijoiMalVZJMe9h9NzwOpUcsK+kWc03cpkK5hP1BzuZrjxBW0Sc96rWim40cPwDgLipOmj70Y9+1OexQqGgz33uc3rPe94TyE4BgEkqWXHP/3OGeUSnkmG+zs9sW+rK22pOEbQ1mhPGWINVSVHRFrlMBQuMFH9ORVvUKqloa0omlExYyhds2ipClcynx2IIABBfVa86WvZFEgmtWLFCN954Y03Pv/XWWzVhwgS1tLRo1qxZevLJJwfc/v7779ekSZPU0tKiKVOm6MEHH+x327/7u7+TZVm66aabato3AKi2oi1D9U1kKhnm6/8ZQ3Ki4QzbbRmsSoqKtshVe6OBUCA6lQxHlLyVLqk+jE6mgkWWvOHYtBMAxE0gQZskvfTSS+ru7q76effdd59WrFiha6+9Vtu2bdPUqVM1d+5c7dq1q+z2jz32mBYtWqRly5bpqaee0oIFC7RgwQJt3769z7Y/+tGP9Pjjj2vcuHFV7xcAONygjYo241XSVs3JhJxshwuYaDgX+IOt5MscbdGrfDEYFhmJWqaCVZclqg9N4FaKVrTACO0EAHFT9dDRFStWlHxv27beeOMN/fSnP9WSJUuq3oEbbrhBF110kZYuXSpJWrNmjX76059q7dq1+vKXv9xn+5tvvlnz5s3TZZddJkm67rrrtGHDBq1evVpr1qxxt3vttdf0+c9/Xj//+c81f/78Afchm80qm82633d2dlb9ewAYuipeDIE52iJXSVtZlqV0KqFMV4EFESKS6Rp8LimJig4TVHr8I7yJHtWH8VHV0FHCawCInaqDtqeeeqrk+0QioXe9611atWrVoCuS9pbL5bR161ZdccUVJa83Z84cbd68uexzNm/e3Cfsmzt3rtatW+d+XygUdP755+uyyy7TySefPOh+rFy5Uv/0T/9U1b4DOHR4Q0epaDNdxdU3Tcli0MYFTCSqrWgjvI5OJYGA5LvRwPEvMpUe/5j7MHqVzKfX6p5TcPwDgLipOmh76KGHAvvHd+/erXw+r7a2tpLH29ra9Nxzz5V9TkdHR9ntOzo63O+vv/56pVIpfeELX6hoP6644oqS8K6zs1Pjx4+v9NcAMMRVckIsUdFmgoqrb1JJSV1U30Sk2oq2bHeBFWIjUm1FG8e/6FQy75fkqxSlrSJTTUXbQQJRAIidqudo++hHP6o9e/b0ebyzs1Mf/ehHg9inumzdulU333yz7rzzzopPyNPptEaOHFnyAQCOSivaGOYWLdu2q67ooKItGtVWtBWfQygQhcqHI1IlFbVK5v2SaCsTZCtYzZd2AoD4qjpo27Rpk3K5XJ/HM5mMHnnkkapea8yYMUomk9q5c2fJ4zt37lR7e3vZ57S3tw+4/SOPPKJdu3bpmGOOUSqVUiqV0h/+8Ad96Utf0oQJE6raPwCQKq9oY5hbtPx/90HbKsWQnChVW9Em0VZRybjhdaVztBEKRKXSYb4t3BSK3MFcJYsheO1k23ZD9gsAEIyKh44+/fTT7te//e1vS4Zq5vN5rV+/XkcffXRV/3hzc7OmT5+ujRs3asGCBZKK86tt3LhRy5cvL/uc2bNna+PGjbr00kvdxzZs2KDZs2dLks4//3zNmTOn5Dlz587V+eef7y64AADVoKItHvxBzKBt5VQKUNEWiUor2pqSlhKWVLCd5zQ1YO/gl62woi3NYgiRq/qmEG0VGbf6cKChoz3vYwVb6srbak4xdB4A4qLioG3atGmyLEuWZZUdItra2qpbbrml6h1YsWKFlixZohkzZmjmzJm66aabtH//fjcUW7x4sY4++mitXLlSknTJJZfojDPO0KpVqzR//nzde++92rJli26//XZJ0ujRozV69OiSf6OpqUnt7e064YQTqt4/AMhWOO8NFW3RcsKbhFUMaAbiVXTQVlFw/u6DBaKWZamlKakDuTxtFRF3OPZgwxFThNdRq7iijdUsI+ceAwc4r/D/LNOdV/Mg8yQCAMxRcdD28ssvy7ZtHXfccXryySf1rne9y/1Zc3Ozxo4dq2Ry4Df2cs4991y9+eabuuaaa9TR0aFp06Zp/fr17oIHO3bsUCLhvbGcdtppuvvuu3XVVVfpyiuv1MSJE7Vu3TpNnjy56n8bACqRqXTeLyraIuUPbwabo5M52qJVaXgtFSfhP5DL01YRqbxKiuNf1CqZ96v4c4bOR83pJ60DnFekUwlZlmTbxe1HtlDRCwBxUXHQ9md/9meSikM7g7Z8+fJ+h4pu2rSpz2MLFy7UwoULK379V155pcY9A3Cos21bOXfo6CAruVHRFqlKLzIlfyhKW0UhU2GVlOSEAqwQGxVvJcvBbjRw/Iuat0IsiyGYrpLqQ8uylE4llOkqEIoCQMxUFLT9+Mc/1sc//nE1NTXpxz/+8YDbnn322YHsGACYoHSC/coq2rjQjEalwxEl/xxFXGhGodIqKckf4NBWUfAWrqi0oo3jX1S88GaQm0Ipho5GrdK5D1uaksp0FQhFASBmKgraFixYoI6ODo0dO9ZdtKAcy7KUz/NGAGDoKJ1gv7KKNk6Io5GppaKNUDQSlS4wIhHgRM1buKKyeb8Ir6PjVvUOWtFGn4pape9XxbakohcA4qaioM0/XDSMoaMAYCr/BPupRGUT7FPRFo1shROBF7dh1b0o1VLRRoAdjcon2KedouZNsF/ZMF/aKhr5gq2uvC2pklCURUYAII5YvgYABuC/yKx0gn0uXqLhzU9UTUUbbRWFairanNCAADsaVS+GQDtFpvqFK2irKPjPESpeIZbzCgCIlYoq2r7zne9U/IJf+MIXat4ZADCNO2yqovCGycCj5IY3VVS0cfESDSra4qPShStaWHU5cpmK5/2iSipK/j4y2LkFoSgAxFNFQduNN95Y0YtZlkXQBmBIqXTYlH8b5iiKRi0VbYSi0chWuJKv5OtXtFUkvFVHWXXZdG4oynx6RjvY83dvTiWUGGxKip5+dZC2AoBYqShoe/nll8PeDwAwUi0VbQydioY3uTQVbaardMU9/za0VTTctqqwoq04/1RBTUlmJ2mkQsFWzq0+HKxKilA0SpWu5Ctx/AOAuKrrLMi2bdm2HdS+AIBxalkdMddd4NgYAWdhA6qkzOcN82VItumyFVZJ+duSUKDx/P1j0Io2hvlGqtIhvpJvkSXaCgBipaag7Y477tDkyZPV0tKilpYWTZ48Wd/73veC3jcAiFwtc0lJhAJRqKaizQ1vuHiJRKbCKimJ6sOoVXoMTKcSctaLYT6pxmPer/hwKuVbm6s5/tFWABAnFQ0d9bvmmmt0ww036POf/7xmz54tSdq8ebO++MUvaseOHfrqV78a+E4CQFRqqWiTitVVlQQ+CE7WnU+vmuE4XLxEobqKNqoPo1TpPJWWZSmdSijTVSAUjYBzoyGVsJQaZNguK2RHyxs6ytB5ABiqqg7abrvtNn33u9/VokWL3MfOPvtsve9979PnP/95gjYAQ0qlE4FLxQuchCUVbOeOdVPIewe/jDufXhUVbay6Fwkq2uLDqxStLMDOdBXoVxHI1rBwD6uORqOaSnnaCgDiqeqho11dXZoxY0afx6dPn67u7u5AdgoATFFNRVuxooNKqahQ0RYftVW0caEZBW8138oDbPpV41UTiNJO0XL+7ulKpjlg6CgAxFLVQdv555+v2267rc/jt99+u84777xAdgoATJGtoqJN8q/mRijQaFkq2mKjmvDG7VNcaDacbdu+UKCaRUboV43mthPDEY1Xy2IItBUAxEvVQ0el4mIIv/jFL/SBD3xAkvTEE09ox44dWrx4sVasWOFud8MNNwSzlwAQkUx35XOpSM5FThd3nyOQqaKiLU1FW6S8lSwrr2hj6FTj5fKVr2Qp+UMB+lWj1TIckfA6Gm71YRUrZNOnACBeqg7atm/frlNPPVWS9NJLL0mSxowZozFjxmj79u3udpaz9BQAxFi2imoOiYq2KFVT0UY7RYuKtnjwX9wzn57ZqquSKrZTLl9QvmArmeCcvZEqXWBEklqdPsV7FQDEStVB20MPPRTGfgCAkbw7z9VUtHH3OQpVVbTRTpHxD0es5EKTirboOEPnE5bUlBw8jKFSNDrV9Cn/NrnuglqbWSG7kWqrPuT4BwBxUvUcbQBwKKm2oi1NpVRkst1VVHRQeRMZ/3DEyub9oqItKv7wppKRCsz9FZ1slavDOmirxquq+rBnm4O0EwDEStUVbZlMRrfccoseeugh7dq1S4VC6Ynvtm3bAts5AIiaNxyxwqGj7gqJhAKN5k0GXs1KlgXZts10Bw1U7XBEt0qK8LrhMlUe/9zVLGmrhqtmOHYyYakpaakrb9NWEaguaGPVUQCIo6qDtmXLlukXv/iF/uqv/kozZ87k4gTAkFbNcBzJq9ChSqDx3FC0iouX4vMKFbcv6ue0k1XpcMQUFW1RqSYQ8G9HWzVeNUPnpWLI3ZXvJsCJgNtWldwUokoUAGKp6qDtgQce0IMPPqgPfvCDYewPABil2oq2NBVtkammos0fHBC0NVbWvciscjgilTcN560OW2HQRkVbZNxQtNL5RJuS2pvtJsCJgNtWFcyN563kSzsBQJxUPUfb0UcfrREjRoSxLwBgHCra4qOa6ptUwpKz0B6TTDeWV3lY5XBEKm8azhuOWOmqyyyGEBUnFK2koldinsooZbq9mw2DYegoAMRT1UHbqlWrdPnll+sPf/hDGPsDAEapvqLNWQyBk+JGy1Zx8WJZljfMjbZqqExX5e0ksepelKq90eAtXEFbNVo1K1lKBNhRqmUxBBZYAoB4qXro6IwZM5TJZHTcccdp2LBhampqKvn5W2+9FdjOAUDU3CqBqkMBLl4aza2+qeJC80AuT0VHg9Vc0UYg2nC1V7TRpxqt+lCUIdlRqSYUpUoUAOKp6qBt0aJFeu211/SNb3xDbW1tLIYAYEjL1lolwMVLw1U9n1RTUlIXFzANVmtFW44VYhuu2sUQqJKKjvOeQ6Wo+bJVhKIM8QWAeKo6aHvssce0efNmTZ06NYz9AQCjUNEWD4WCrVx35Ysh+LdjSE5j1VrRVnwuC1c0khdeV1fRRp9qvGqHjrrDfKkUbTg3FK2koq3n3KO7YKs7X1AqWfWsPwCACFR9tJ40aZIOHjwYxr4AgHFqnveGC82GyuW9i8Wqh04RijZUrRVtEgF2o1Vd0Uafikw1VVISq1lGqZoVYlt9K5MyfB4A4qPqoO2b3/ymvvSlL2nTpk3605/+pM7OzpIPABhKqGiLB//FYsUVbVTfRKLairamZELJniViCbAbq5oFRorbcaMhKqwQGx8H3flEB+9X/vYkFAWA+Kh66Oi8efMkSWeeeWbJ4868Kfk8bwIAhg43aKuyoo3wprGci8VkwlJThUNrmE8qGs7fu9LwurhtceEKAuzGqn44IlVSUfGGI1ZafcjcX1HxFq4YvF9ZlqV0KqFsd0EHc7QVAMRF1UHbQw891O/Pnnnmmbp2BgBMU80QD8kLDwhvGivrTgReeaE2oUA0ql1gpLhtsrhCLAF2Q2WqqLyRqJKKUjXhTXE72ioq1Q7JbmlKKttd4AYeAMRI1UHbGWecUfL93r17dc899+h73/uetm7dquXLlwe2cwAQtWor2rwJpjkhbiS3SqqKifK96kMuNBspU+Vw7OK2VN9EwZtPr9oqUdqp0bwh2VXO0cZ7VcNVPZ9eU0LvHCQUBYA4qXnpml/+8pdasmSJjjrqKP3zP/+zPvrRj+rxxx8Pct8AIFJd+YLyBVtS9RVtDHFrLCra4qPa4YjFbZ359OhXjVR1eNOzXY52arhqFxlh6Gg08gXbXbyntepKUdoKAOKiqoq2jo4O3XnnnbrjjjvU2dmpc845R9lsVuvWrdNJJ50U1j4CQCT8F/VUtJmNirb4qHaBkeK2hAJRyNRQeVN8Hu3UaFXPp8c0B5HwnxvQVgAwdFV8O/mss87SCSecoKefflo33XSTXn/9dd1yyy2B7MStt96qCRMmqKWlRbNmzdKTTz454Pb333+/Jk2apJaWFk2ZMkUPPvhgyc+/8pWvaNKkSRo+fLiOOOIIzZkzR0888UQg+wrg0OG/WGyueIJ9Toij4FbeVFXRRigQhVoq2tKs5huJmhdDILxuuFpD0SzHv4bynxtUvJov71UAEDsVn+X+7Gc/07Jly/RP//RPmj9/vpLJyu9ED+S+++7TihUrdO2112rbtm2aOnWq5s6dq127dpXd/rHHHtOiRYu0bNkyPfXUU1qwYIEWLFig7du3u9u8973v1erVq/XMM8/o0Ucf1YQJE/Sxj31Mb775ZiD7DODQ4FTeNKcSSiSsip6TpqItErVUtDkXOVS0NVZdFW30q4ZyArOKA4EUQ9yikq1hgn2J41+jOX2jOVnNeQXz6QFA3FQctD366KPau3evpk+frlmzZmn16tXavXt33Ttwww036KKLLtLSpUt10kknac2aNRo2bJjWrl1bdvubb75Z8+bN02WXXaYTTzxR1113nU499VStXr3a3eav//qvNWfOHB133HE6+eSTdcMNN6izs1NPP/102dfMZrPq7Ows+QAA58KlqiopwptIeKvDVlMlRZVAFOqao42KtobyVh2tbuh8pisv27ZD2y/05YQwlVcfcvyLQrV9SmKFWACIo4qP8h/4wAf03e9+V2+88Yb+9m//Vvfee6/GjRunQqGgDRs2aO/evVX/47lcTlu3btWcOXO8HUokNGfOHG3evLnsczZv3lyyvSTNnTu33+1zuZxuv/12jRo1SlOnTi27zcqVKzVq1Cj3Y/z48VX/LgCGnmqH4kiEN1Fxgs1q2soLRWmrRvIq2qoJsKloi4JbJVXxBPvF7Qq21JUnaGuUfMF2/96VVoq2UCUViVrOK1qYoxIAYqfqVUeHDx+uCy+8UI8++qieeeYZfelLX9I3v/lNjR07VmeffXZVr7V7927l83m1tbWVPN7W1qaOjo6yz+no6Kho+wceeECHHXaYWlpadOONN2rDhg0aM2ZM2de84oor9M4777gfr776alW/B4ChqaZ5v6hoi0SmhupDd5gvVQINVe0QN4k52qJSbYDt738E2I3jD2AqrWhjPtFoVFt5KEmtzQzJBoC4qTpo8zvhhBP0rW99S3/84x91zz33BLVPgfjIRz6iX//613rsscc0b948nXPOOf3O+5ZOpzVy5MiSDwBw5/2qcTgiQ6cap6aKNio6IuFWtFUzdIqKtkhUO8w3nUrIspznEuA0SknQxgT7RsvkqqsS9W/LDTwAiI+6gjZHMpnUggUL9OMf/7iq540ZM0bJZFI7d+4seXznzp1qb28v+5z29vaKth8+fLiOP/54feADH9Add9yhVCqlO+64o6r9A3Boy3bXUHnTEwgUbKm7QNDWKDVVtKWoaItCpsrhiJI/wKatGqnaYW6WZXkLVxDgNIy7cE8VE+x7837RTo2UqeG8glAUAOInkKCtVs3NzZo+fbo2btzoPlYoFLRx40bNnj277HNmz55dsr0kbdiwod/t/a+bzWbr32kAh4ya5pLynTxz97lxahmOSEVbNGqraGM+vSjUMszNW82StmqUWibY9wJR3qcayQuvq+9TB3P0KQCIi1TUO7BixQotWbJEM2bM0MyZM3XTTTdp//79Wrp0qSRp8eLFOvroo7Vy5UpJ0iWXXKIzzjhDq1at0vz583Xvvfdqy5Ytuv322yVJ+/fv19e//nWdffbZOuqoo7R7927deuuteu2117Rw4cLIfk8A8ZOpIbxpTnonz5muvA5LR36YPSTUEoo6cxRR0dZY9VS00VaN5VWKVjvMrYsAp4FqmmCfQDQStZxXpLkpBACxE/kV4Lnnnqs333xT11xzjTo6OjRt2jStX7/eXfBgx44dSiS8C6fTTjtNd999t6666ipdeeWVmjhxotatW6fJkydLKg5jfe6553TXXXdp9+7dGj16tN7//vfrkUce0cknnxzJ7wggnmoJbxIJS82phHLdBSraGqi2ixfm/YqCV9HGCrEms23bm6eyquobhrk1Wj2VhwSijVVbKEr1IQDETeRBmyQtX75cy5cvL/uzTZs29Xls4cKF/VantbS06Ic//GGQuwfgEJWtoZqjuH0xaONCs3G8xRCqH47IxUtj1bNCLG3VOLm897eubp5KJm5vtFqqRJ1jJeF1Y9VyU8h7r6KtACAuIp2jDQBMVkt4U9yeIYmNVssQtzQXmpGoZ4VY2qpx/KFmLQEOoUDjZGupkupp0668rTwL9zSMW31Yw9yv3GgAgPggaAOAfnhDR6uvaCs+nwvNRqGiLT7qWSGWtmocp6I3YUlNycpWspR880nRVg1TS5/yh3KEoo1Tz9BRzikAID4I2gCgH94Qj+oOlYQCjVfTpO3uBPtcvDSKf94vKtrM5m8ny6o8aPOqb2irRvHmaKtmiG/pwj1ojGwN5xX0KQCIH4I2AOhHLZO2S4QCUahl0nZvJTcC0Ubxz/tVVVtRfdhwTnhTTZWU5A2JY5GRxvFC0eoX7pE4BjZSTXO0MUclAMQOQRsA9KOW4Tj+7Tkpbpxsdw0VbT3tlOsuyLaZo6gRap33i/n0Gq+WQMC/Pce/xnEX7qm2rVLMp9doNVX0shgCAMQOQRsA9KOWCab92xMKNE4tFR3+i1JWSGwMp09YVc77xXx6jVfLohUSc1RGwalIqya8lvzz6dFWjXKwlvn0mp3qa9oJAOKCoA0A+pGtceiUd6FJKNAo2RrmKGphjqKGc8PrVHXzfqVZybLhaq3opaKt8WqdT5QhiY1X09BRbjQAQOwQtAFAP7x5v6qt6OipaCMUaBi3raoIBVLJhJKJYthDKNoYbnhdbSDg9CnaqWFqGeJW3J5FRhqt5rbivarhMjVUirqBaI52AoC4IGgDgH7UWtHmXmgSCjRMrcPcmKOosTJdtQ5xo50arfYqKYYjNlq9bcV7VeM4bdVaw6rLDB0FgPggaAOAftRSJVXcngvNRsvWOcyNC83GqLmijXZqOG/oKIshmM4dOl91WxFgN1q2hlDU6VNdeVv5Agv3AEAcELQBQD9qmferuD0VbY2WqbGt0lS0NVTNFW2+FWILXGg2hFclWuOqy1TfNIw3zUGN1Ye0VcPUtOpoE/OJAkDcELQBQD+cC82qK9oYOtVQ+YKtrnwxfGHidrN54XVt7SRJuTxt1Qi1TNoucfyLQs1txST7DZep4RjovzFBvwKAeCBoA4B+1H7xQkVbI2V91RjVtlWz21ZcvDSCNxy7trn0iq9BWzWCW9FWY1tx/Gsc972KoaPGq2VIdiJhqTnpVIrSrwAgDgjaAKAftVa0ufNJUSXQEP6/MxVtZqt1jjZWiG08FkOID/e9qua2ok81Sq0rxLIgDADEC0EbAPSj1uob5ihqLOfvnEpYSiVrm0+KirbGqLVPSawQ22i1VvQS3jRevdXX9KnGIcAGgEMDQRsA9KPW+aTSVLQ1VLbGCgH/cwgFGqPWi0zJP/cXbdUIta66zHDExqu1SorFEBqrULB9i4zUOsyX4x8AxAFBGwD0wxuOQ0WbyZy/c7WBgORfIZa2agRvOHbtFW20VWN4w3xrC28Y4ts47gT7NYai3BRqDH+fqDZoa3Vv4HH8A4A4IGgDgDIKBVs5dzJw5mgzWa3VHBKr7jUaFW3xUfNcUgxHbLhaq3qdxRMIrxvD3ydqPa/gBh4AxANBGwCUkcv7JtivedVRTogbwbnDX+1E4BLD3Bqtnoo2+lVj1TuXFBVtjcN8evFQz3yiTih6MEdbAUAcELQBQBn+4KXaIYleRQcnxI2QqSu8IRRoJCra4iPjVvTWViVFeN04zt+a+fTM5hy7WmupvqatACBWCNoAoAwneEkmLDVVe+e5ieE4jZStI7zx5iiirRqBOdrio/YqKS8QsG078P1CX5kaJ9hPs5JlQ7mBaD0L93D8A4BYIGgDgDJqrRDwP4fKm8bwKtpqaSsq2hqJirb4yNZ4DHTaqWBLXXmCtrB15QvKF4p/51qH+dKnGqOe4x9tBQDxQtAGAGVka6wQ8D+H8KYxsjVW3hSfw3CcRsrWEYpS0dZYtR4D/SEC1Tfhq2clyxZWyG6oehbuaWGREQCIFYI2ACjDWcWtnoo2AoHGqKeijVC0seoLRanoaKRaq2+akwlZVulrIDz1zCdKn2osJ9Csp6KNaQ4AIB4I2gCgDO+EuJZJi50TYi5eGqGe8CZNlUBDuRVttQwdpa0aqtbqG8uyvJsNHAND55/mwHISzgp57USfagT3vaqWOSqd6mtuCgFALBC0AUAZ9VS0OUM8cvmCCgXmKApbtsbVESUmA2+0TF0XmlQfNlIg1TdU9YauruGI9KmGCqKteK8CgHggaAOAMupaDMF3Es0FTPi8ldzqGeZLOzVCPXMfUn3TWN4xsJb5pBiS2CjBTLBPn2qEg7QVABwyCNoAoAxviFvtkxYXX4eT4rAFsXAFFy+NUU+ATfVN49i27YZktQTYLDLSONk6pjmgnRrLuynEHJUAMNQRtAFAGc7FSy2BQCqZUDJRnCuHk+LwEd7ERz0BNnO0NU4uX/tKlv7ncPwLX6aeaQ6cduL41xDu0NF65mjj+AcAsUDQBgBl1DOXisTKo42UYTGE2CAUjQd/QMbch2ar5/jntG2+YKsrT78KW13DfFOEogAQJwRtAFBGPRVtEqFAI7lVUoQ3xqsnwE5T0dEwzjx4CUtqSla3kqXE3IeNVE+VlH9YMP0qfM4CI631VInmaCcAiAOCNgAowxuOU19FGxcv4atn3huvnQgEGqGeANsJEghvwucPRC2r+qCNuQ8bx+1TNS4G4zQvx8DwZetadbTnvYoqeQCIBSOCtltvvVUTJkxQS0uLZs2apSeffHLA7e+//35NmjRJLS0tmjJlih588EH3Z11dXbr88ss1ZcoUDR8+XOPGjdPixYv1+uuvh/1rABhCvAmmqWgznbsYQj0VbQQCofNPsE9Fm9ky9Vb0pggFGqWePmVZFjeFGogVYgHg0BF50HbfffdpxYoVuvbaa7Vt2zZNnTpVc+fO1a5du8pu/9hjj2nRokVatmyZnnrqKS1YsEALFizQ9u3bJUkHDhzQtm3bdPXVV2vbtm364Q9/qOeff15nn312I38tADHnDUekos10QVS0EYiGzz/Bfm3VN1xoNko9lTf+51ElFb565miTvH7FfKLhq2s+vSaqrwEgTiIP2m644QZddNFFWrp0qU466SStWbNGw4YN09q1a8tuf/PNN2vevHm67LLLdOKJJ+q6667TqaeeqtWrV0uSRo0apQ0bNuicc87RCSecoA984ANavXq1tm7dqh07dpR9zWw2q87OzpIPAIe2eu48S17ok+WkOHRBVLTl8gXlC3ag+4VS9U6w7/RFQtHwZbrrC29YIbFx3LaqeT5RApxGcaekqOmmEDcaACBOIg3acrmctm7dqjlz5riPJRIJzZkzR5s3by77nM2bN5dsL0lz587td3tJeuedd2RZlg4//PCyP1+5cqVGjRrlfowfP776XwbAkBJURRuhQPjquXjxB6k52ipUTsWMVfME+1xoNko9q8NKDMlupHpXyPamOaCtwlZPKMrQUQCIl0iDtt27dyufz6utra3k8ba2NnV0dJR9TkdHR1XbZzIZXX755Vq0aJFGjhxZdpsrrrhC77zzjvvx6quv1vDbABhKvOGINVa0MXS0YZyL+VouXvxBKm0VrqxvdcTaJtgnvG6UesMbbjQ0TrbO6uuWFMN8G+VgLoCho/QpAIiFVNQ7EKauri6dc845sm1bt912W7/bpdNppdPpBu4ZANPVMxxRYjGERnKrD2u4eEkmLDUlLXXlbSZuD1k9qyNK/oo2+lTY6h06T/VN43jVhwzzNZ0TktUWtPVMc9BdUKFgK5Go/mYFAKBxIq1oGzNmjJLJpHbu3Fny+M6dO9Xe3l72Oe3t7RVt74Rsf/jDH7Rhw4Z+q9kAoJxsHcMRJSraGqnu+fRSzKfXCBlfRVstvIo2+lTY6g9vCEUbxas+rG8+UdoqfPVUH7b6zkW4gQcA5os0aGtubtb06dO1ceNG97FCoaCNGzdq9uzZZZ8ze/bsku0lacOGDSXbOyHbiy++qP/8z//U6NGjw/kFAAxZ2e5gKjo4IQ6fV31YZ0UHAU6o6u1TLDDSOG6fqnfoPH0qdPUvXEH1YaPUt+oo0xwAQJxEPnR0xYoVWrJkiWbMmKGZM2fqpptu0v79+7V06VJJ0uLFi3X00Udr5cqVkqRLLrlEZ5xxhlatWqX58+fr3nvv1ZYtW3T77bdLKoZsf/VXf6Vt27bpgQceUD6fd+dvO/LII9Xc3BzNLwogVtyKtroXQ+CEOGz1z6dHgNMImTr7lDOMO5dn6FTY6gkE/M8jEAhfvdXXLYSiDeMcA1uZ5gAAhrzIg7Zzzz1Xb775pq655hp1dHRo2rRpWr9+vbvgwY4dO5RIeBdPp512mu6++25dddVVuvLKKzVx4kStW7dOkydPliS99tpr+vGPfyxJmjZtWsm/9dBDD+nDH/5wQ34vAPHmnMjWuuoe80k1Rne+oO6CLan2irY0cxQ1RFAVbcXXKqi1ubb2xuDqrxLl+Nco9axkKdFWjZSpt1I+lVRXvttdVAEAYK7IgzZJWr58uZYvX172Z5s2berz2MKFC7Vw4cKy20+YMEG2bQe5ewAOQdk6V91jPqnG8A/NrbWizQkTGOYbrqAq2qRivyJoC0/98x5y/GuUeqsPmU+0ceqd+zDdlNTebDehKADEQKRztAGAqbJUtMWC/+Kw9osXLjQbod5VR1PJhFI9w0XpV+EKbugo7RS2TN03hbjR0Ai2bQfQVgzzBYC4IGgDgDKCOiGmoiNczsVhU9JSssY5u5yKtgwXmqGqt6Kt+FxC0Ubw2qrW4Yi0U6PUW33ovlfRVqHyB5n1LrJEvwIA8xG0AUAZ9Ve0ORcvhDdhci8y6wlvuNBsiHoDgeJzqb5pBK/6kCop03krxLJwhcn85wJ138DjvAIAjEfQBgBl1Ft9k3YvNLl4CZNzkVlrICBR0dYobltR0Wa8uit6U4Q3jeLN+8ViCCZzhnsWVw+tbz5R+hUAmI+gDQB6sW277hUSvaGjXLyEqd6LTImKtkahoi0+ghqOSCAQvsAWQ+CmUKiclUJrXR1W8oWitBUAGI+gDQB66S7YKvQsXlxzRRt3nhvCGzZVx8ULq442RBAVbc1UtDWEU91Z65BsFoNpHLf6sNbVfBk62hCZ7voC0eJzneMf/QoATEfQBgC9lKxkSUWb0byKtvovXqhoCxcVbfFR/6qj3mIwtm0Htl8oFUz1NaFoI9Q7HFvypkggFAUA8xG0AUAv/ov42hdD4IS4EbyLl3qGjjJHWyMwR1t8ZOscku30qYItdeUJ2sLSlfdVX9cZitKnwuXeFKrjvaqVUBQAYoOgDQB6cU6Im1MJWZZV02tQ0dYY2SCG4xDeNAQVbfFR/0qWXhszn1R4/H/bWvtVmsVgGsI5/rUGMnSUPgUApiNoA4Be3IvMeibYd+b94s5zqLLu6rD1V7TRVuGqN7wpPpcLzUaoNxRtTibk3KOgrcLj/G0tq/g3rwVD5xsjiKGjrDoKAPFB0AYAvbjhTT1zqbCSW0MEUdFGWzVGvcMRi8/lQrMR6g0FLMvyFhkhwA5N1rcQQu3V11SJNkK9c+kVn8vxDwDigqANAHrJBHhCzEVmuDJUtMVGkBVthALhCuIYmKb6MHSBDMcmvG4It60CWLiHOdoAwHwEbQDQizccMZgqKVbdC0+gc7RR0RaqTIAVbQxzC1cgq/mmqJQKWyaA9yqGYzdGIENH3YV7aCsAMB1BGwD04pzEBlElZbPqXqiCqGij+rAxqGiLB9u2vX5VV1UvAU7Ygqy+pkoqXEGsOppm6CgAxAZBGwD0kg3gzrM/+Mly9zk03tAp5mgzXZAVbVxohieX9wKXQKpvCHBCE8jxr4nq60Y4GEBbeStk06cAwHQEbQDQSzaIijbfczkpDo9T2VTPwhUEAo0RTFtR0RY2fz+oZz4pqm/CF8TCPS2+6mt/yIpgZXwLV9SKxRAAID4I2gCglyAq2izLcsM2KtrCE0yVFO3UCFS0xYMz/13CkpqSta1kKTH3YSO4Q0frGTrvC3642RCeQBaucOdoo50AwHQEbQDQSxAVbf7nc/ESnmDm/WKOtkYIZjJwKtrC5m8ny6ojaKNSNHRB9KmmpCWnmVlkJDyBLNzjHP9oJwAwHkEbAPQSxAT7ki/AoaIjNEFUSdFOjRHIkGyGToUuE0AgIFEp2ghBVElZlsUKsQ3ghaK1t1Urxz8AiA2CNgDoJYg7z5I3yTQXL+HJBFDRRuVh+PwrWdJWZssGfKOBtgpPEIshFJ/PCrFhc/62rcwnCgCHBII2AOglqIo25pMKXzbAijbaKTz+SdbTAcxRRJVUeIKqaCO8CZ87dL6OCfYlApxGcKuvAxg6yryHAGA+gjYA6CWoijbmkwpfkBVt3QVb3ay6F4rAVrKkoi10QQzHlvxzHxIKhMULbwKqPiTACU0wFb3F5x7M0U4AYDqCNgDoxQnGgqpo40IzPNkAV3KTCEXD4oTXda9kSUVb6IIIBPzPZ4XE8AQ1dNQLsOlXYQlkhdgmby4927YD2S8AQDgI2gCglyCGeEhUtDWCF4rWXyXlfz0Ey5v3q76VLKloC18QE+xLXqBAeBMeNxRlPj3jBbnqssR7FQCYjqANAHoJuqKNC83wBFHRlkhYak4SCoTJG44d1Eq+XGSGJbAqKXfoKG0VFnclX+bTM142gH7lfy5tBQBmI2gDgF6oaIuPTAAVbRIrxIYt0xVQO/WE3wzHDk9wNxqYuD1sgQ/zpV+F5mAAN4WakgklE8WKYKoPAcBsBG0A0Iu3kltQc7RxQhyWoIa5UX0YLira4iOoijbCm/AFN8yXfhW2wPoVQ7IBIBYI2gCgF3c+KSaYNl4Qc7RJDJ0KW9AVbbl8QfkCk4GHwbvREFTQRngTlkxAbZXm+Bc6bz69oBYZoa0AwGQEbQDQi3MCW+/QKapvwtXlC1vqr2hj6GiYgq5o878mghVYlRThTeiCq5LivSpMtm17q44GdAwkwAYAsxG0AUAv2YDmvaGiLVz+i0KGuZkt6Io2iSHZYQk6vMkQ3oQmiMVg/M/n+BeOXL4gu6cAl4UrAODQQNAGAL0EVdGWpqItVP4LDWfV0FpR0RYub3XE+toplUwo5UwGTkVbKLxQtN7jHwtXhC2oAJsbDeHyV5+1clMIAA4JBG0A0EvQFW0McQuHE4o1pxJK9IQvteLiJVxBBQKSb0g2FW2h8ELRYAIBwuvwBDUcMc1wxFA5YXPCkpqSQb1X0VYAYLLIg7Zbb71VEyZMUEtLi2bNmqUnn3xywO3vv/9+TZo0SS0tLZoyZYoefPDBkp//8Ic/1Mc+9jGNHj1almXp17/+dYh7D2Ao8ibYD6ZKihPicDihWL3tJBEKhC2oeb8kX78iwA5FJqAbDS2s5Bu64FaIZThimPx9yrLqDdpoKwCIg0iDtvvuu08rVqzQtddeq23btmnq1KmaO3eudu3aVXb7xx57TIsWLdKyZcv01FNPacGCBVqwYIG2b9/ubrN//36dfvrpuv766xv1awAYYrIBBTheeMMJcRiCusiUfNWHXLyEIqjVYSUq2sLGYgjx4a4QW29bMZ9eqLzKwwCOfwTYABALkQZtN9xwgy666CItXbpUJ510ktasWaNhw4Zp7dq1Zbe/+eabNW/ePF122WU68cQTdd111+nUU0/V6tWr3W3OP/98XXPNNZozZ07F+5HNZtXZ2VnyAeDQ5V28BLUYAhcvYQiq8lBiOE7YQqlo40IzFE7Y0hLYvF/0qbB4Vb3M+2Uy9/gX6HsVbQUAJossaMvlctq6dWtJIJZIJDRnzhxt3ry57HM2b97cJ0CbO3duv9tXauXKlRo1apT7MX78+LpeD0B85Qu2cvlgAhwq2sIVSkUbbRWKoMJriUVGwhZUv3IWQ8h052U7Sy4iMLZtBzfMt4nFYMJ0MBfge5Xbr2grADBZZEHb7t27lc/n1dbWVvJ4W1ubOjo6yj6no6Ojqu0rdcUVV+idd95xP1599dW6Xg9AfOV8J6/BLYbACXEYgho2VXwNqm/CFOR8elS0hSuoofNOlZVtS115gragZUveq4JpK/pUOJxQrN4FRiQq2gAgLlJR74AJ0um00ul01LsBwAD+iqa6LzQJb0KVDWjYVPE1qGgLU5AVbS1UdIQqqLbyhz+Z7ryaAwhZ4fHPURhYRRvhTSiCHDrvzdHG8Q8ATBbZWc+YMWOUTCa1c+fOksd37typ9vb2ss9pb2+vansAqJZz8ppMWEol651gmvAmTEFWtBGKhiuUFWIJBUIRVCjQnEzIWWCR6pvgORPsJxOWmup9r+L4FypvjrYAbzTQpwDAaJEFbc3NzZo+fbo2btzoPlYoFLRx40bNnj277HNmz55dsr0kbdiwod/tAaBaTigWxKTFaVZHDFVQE4FLXLyELdA52lJUtIUpqHm/LMtygwWOgcELNrz25tND8LJdwU9zwA08ADBbpENHV6xYoSVLlmjGjBmaOXOmbrrpJu3fv19Lly6VJC1evFhHH320Vq5cKUm65JJLdMYZZ2jVqlWaP3++7r33Xm3ZskW33367+5pvvfWWduzYoddff12S9Pzzz0sqVsNR+QZgMM5FZjBzqVDRFqZMgBcvTljHfHrhCGreL4mKtrA5YUswoUBCB7vyBNghCCoQlZijLWxOn2ptrr+tWqk+BIBYiDRoO/fcc/Xmm2/qmmuuUUdHh6ZNm6b169e7Cx7s2LFDiYR3onfaaafp7rvv1lVXXaUrr7xSEydO1Lp16zR58mR3mx//+MduUCdJn/nMZyRJ1157rb7yla805hcDEFuBVrQxl0qonLaios18YVS0EYqGI9hK0aSkLo6BIfCGI7IYjOkYOgoAh57IF0NYvny5li9fXvZnmzZt6vPYwoULtXDhwn5f74ILLtAFF1wQ0N4BONRkA10djIq2MFHRFh/M0RYPtm37joEBrhDLMTBwoSwwQp8KRZCV8mlWHQWAWGAJKADwCTIQcMKbrrytfMGu+/VQioq2+GCOtnjI5Quyew5VwQQ4zNEWFve9Ksh26i7ItnmvClqgq472tNVB3qsAwGgEbQDgkw3yzrMvrKOqLXhelUAAFy9UtIWKirZ48A8dDGKYG9U34QkjvJE4BoYhyPn0nKHCDPMFALMRtAGAT6Y7yIo2X9DGSXHgvPn0gggEqGgLU6BDp7jQDI0TXiYsqSlp1f16LQwdDY1T0RnI8Y/3qlBlAnyvaiG8BoBYIGgDAJ9sgHeeU8mEUonixSoXmsELtKKtiYq2MGUDDLC9tqJPBc1feWNZAQRtTLIfmiAr2pqSCSV5rwpNJhd89SHvVQBgNoI2APAJsqJNYo6iMAW5kpu7kiVVAqEIcugUFW3hcStvAmin4utQKRqWbFfAbZWircISZL+iTwFAPBC0AYCPO0dbQEGbG+Bw9zlwwa6611N5QzuFIsiKNnfeLypvAhf88Y9hbmHJBNxWVB+GJ8gVshk6CgDxQNAGAD5BhjeSv/qGk+KgBbtCLBVtYbFtO9jJwKkSDU1YFW3caAheJuiKNgKc0ATZVi0pAlEAiAOCNgDwCTK8kZhPJUxUtMVDLu9byTKAio40E+yHJrTjH+FN4IIORVkQJjxevwpw6Gh3XrZt1/16AIBwELQBgE/QFW3NVLSFJhtgKOBUCeQLtrrzhG1B8ldeBHOhSUVbWIKsPPS/DgF28IJcDEbyVUrRVoFz2qq1OYDjX89r2HbpTQwAgFkI2gDAh4q2+Ah0gn3fxSoXmsFy5mdLWFJTsv6VLKloC0+QK1lKTLAfJqdfBbEYjMQk+2Fyqw8DvCkkMXwUAExG0AYAPk4gFkTlTfF1nDmKuHgJmjvBfoDDESUuNIPmTbCflGXVH7RR0RaeoOf9SjPvV2jCqj7kplDwsgG2VVPSUsJyXpd+BQCmImgDAB+3SiCgio40K7mFxr3QDCAUtSzLHebLhWawAu9ThNeh8W40sJKl6YKuPmThnvAEGWBblkW/AoAYIGgDAB+v+ibYoVOEAsELOsBhmFs4Ml3BVolS0RaewCvaOP6FJrSKNo5/gQt8SHZPWx2krQDAWARtAOCTDXwlN+48hyXoACdNgBOKsCramKMteO5iMAGHohz/ghf4jQbaKhS2bbvzfgYWinJTCACMR9AGAD7Br+RGRUcYbNsO4UKTACcMYVW0deVt5Qt2IK+JouArbwgEwuIt3MNiCCbzH6eCD7BpKwAwFUEbAPi4E+wHViXlXLxQJRCkrrwtJ2MJ7EIzRUVbGMIKRP2vjWAEPXTU6VOs5Bs8b+hoUJWiTlvRp4Lk/3sGdQPPrZSnXwGAsQjaAMDHHToVWEWbs5IbFy9BCufihYq2MAQ+xNf3OgTYwfIqepn3y3RuKMowX6M57WRZQS4yQvUhAJiOoA0AfIIejuOEN1RJBcv/9wxu4QpCgTC4fSqgQDSZsNSUtCQRYAfNq+glEDCdc0MguFCUtgqDf4Ely7ICeU23UpS2AgBjEbQBgE/QFW1pKtpC4QWiwV28uKEow3EC5fw9gwqv/a9F9U2wgl7J0jv+0U5BywY8dJSKtnAEPRy7+FrcwAMA0xG0AYBPWBNMc0IcrGzAq7hJVAmEJegJ9v2vRYAdLBZDiI/g59OjT4XBCS5bAw3amE8PAExH0AYAPl71DRNMm8xf0RYUKtrCEUYoSkVbOJzJ1Zn3y3yZgPtVmrYKRaY7+Iq2VlYdBQDjEbQBgE824KFTVLSFg4q2+Ag1FKWtAhV0lZR/gRHbtgN5TUiFgq2cG4oGW31IRVuwwjn+EYoCgOkI2gCgh23b3gTTAVe0USUVrCwXL7ERakUb/SpQ2cCHjhbbybalXJ62Cor//SS4oaPcaAhD0PMeFl+LIdkAYDqCNgDo0ZW35RRdBLWSmxMEcUIcrDCG46SZoygUYVR0cKEZjqAXrvAPQSXADo7//31wK8RyoyEM4cxRWWyrgxz/AMBYBG0A0MM/j1rQFy9UtAXLGYobbHjDhWYYwqloYz69MAQdCjQlLTmLAhNgB8d5r0olLKWSAVVfE16H4mAYq44yRyUAGI+gDQB6+OdRC27oKBcvYaCiLT7CqWhjmFsYgh7mZlmWGwowT2VwwhmOyMI9YXCHYwdUJSr5536lrQDAVARtANAj65ufzXLKMOqUpqItFN6iFVS0mS7MhSvoV8HyAmyG+ZoslOGIVEmFIhPmexWhKAAYi6ANAHpkQhiOSJVUOLwqqRCqBAhvAhXOwhVUdIQhnH5FgBO0oOfSkwhEwxL0Sr7F13Laij4FAKYiaDtE7DmQi3oXAONlQxiOyAlxONwLzQCrBNKsuhcKKtriwbbtcNqK6pvAhTnBPn0qWGFMc8DQeQAwXyrqHUD4OjNdmvWNjZp89Cj9xfuO0vwpR2nsyJaodwswjlvRFkJ4Q0VbsLzqQyo6TBfGHG1M3B68XL7gW3U5+Kpe2io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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the FFT\n", "fig, bx = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "yf = abs(rfft(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len]))\n", "xf = rfftfreq(1000, 1 / 1e3)\n", "bx.plot(xf[0:100], yf[0:100] * norm_fact)\n", "bx.set_xlabel(\"Frequency (MHz)\")\n", "bx.set_ylabel(\"Amplitude\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "909d8f6d", "metadata": {}, "source": [ "Note that we lose a little bit of power over the frequency range, but that is to be expected due to frequency dependant components in the output and input path. Now let's check if the hardware demodulated and integrated results match our expectations." ] }, { "cell_type": "code", "execution_count": 31, "id": "70a4c96e", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:56:03.040408Z", "iopub.status.busy": "2023-11-29T13:56:03.040304Z", "iopub.status.idle": "2023-11-29T13:56:03.553922Z", "shell.execute_reply": "2023-11-29T13:56:03.553633Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sequencer 0\n", "Integration results:\n", "I = 0.08032926233512457\n", "Q = -0.008704934049829019\n", "R = sqrt(I^2 + Q^2) = 0.08079954371230777\n", "---------------------------------------------------------------------------------\n", "Sequencer 1\n", "Integration results:\n", "I = -0.07733170493404982\n", "Q = 0.01304543234000977\n", "R = sqrt(I^2 + Q^2) = 0.07842433227605268\n", "---------------------------------------------------------------------------------\n", "Sequencer 2\n", "Integration results:\n", "I = 0.07723302393746947\n", "Q = -0.018114802149487054\n", "R = sqrt(I^2 + Q^2) = 0.0793289735433454\n", "---------------------------------------------------------------------------------\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Sequencer 3\n", "Integration results:\n", "I = -0.07296824621397167\n", "Q = 0.02058182706399609\n", "R = sqrt(I^2 + Q^2) = 0.07581541110377911\n", "---------------------------------------------------------------------------------\n", "Sequencer 4\n", "Integration results:\n", "I = 0.0704484611626771\n", "Q = -0.0249638495359062\n", "R = sqrt(I^2 + Q^2) = 0.07474074834948194\n", "---------------------------------------------------------------------------------\n", "Sequencer 5\n", "Integration results:\n", "I = -0.06730923302393746\n", "Q = 0.027401563263312164\n", "R = sqrt(I^2 + Q^2) = 0.07267309350470787\n", "---------------------------------------------------------------------------------\n" ] } ], "source": [ "for seq in range(0, num_seq):\n", " readout_module.store_scope_acquisition(seq, \"scope\")\n", " acq = readout_module.get_acquisitions(seq)\n", " bins = acq[\"scope\"][\"acquisition\"][\"bins\"]\n", " I = bins[\"integration\"][\"path0\"][0] / waveform_len\n", " Q = bins[\"integration\"][\"path1\"][0] / waveform_len\n", " print(f\"Sequencer {seq}\")\n", " print(\"Integration results:\")\n", " print(f\"I = {I}\")\n", " print(f\"Q = {Q}\")\n", " print(\"R = sqrt(I^2 + Q^2) = {}\".format(math.sqrt(I**2 + Q**2)))\n", " print(\"---------------------------------------------------------------------------------\")" ] }, { "cell_type": "markdown", "id": "362f7f66", "metadata": {}, "source": [ "Taking the power loss over frequency into account, the amplitudes of the IQ vectors match our expectations again." ] }, { "cell_type": "markdown", "id": "635bccb0", "metadata": {}, "source": [ "Real mode\n", "---------------\n", "\n", "Many applications require multiple outputs to be controlled independently and only output real signals instead of a modulated IQ pair. To achieve this we will connect one sequencer to each output and only use path 0 to control an even numbered output and path 1 to control an odd numbered output. To demonstrate this, we will simply output an independently timed sine on output $\\text{O}^{1}$ and a sawtooth on output $\\text{O}^{2}$, which we will then acquire on the inputs.\n", "\n", "Lets create a Q1ASM program to sequence the waveforms for sequencer 0." ] }, { "cell_type": "code", "execution_count": 32, "id": "f33c8127", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:56:03.555331Z", "iopub.status.busy": "2023-11-29T13:56:03.555154Z", "iopub.status.idle": "2023-11-29T13:56:06.693373Z", "shell.execute_reply": "2023-11-29T13:56:06.693074Z" } }, "outputs": [], "source": [ "# Reset\n", "cluster.reset()\n", "\n", "# Program\n", "program = \"\"\"\n", "wait_sync 4\n", "play 1,1,4\n", "wait 140\n", "acquire 0,0,16380\n", "stop\n", "\"\"\"\n", "\n", "# Write sequence to file\n", "with open(\"sequence0.json\", \"w\", encoding=\"utf-8\") as file:\n", " json.dump(\n", " {\n", " \"waveforms\": waveforms,\n", " \"weights\": waveforms,\n", " \"acquisitions\": acquisitions,\n", " \"program\": program,\n", " },\n", " file,\n", " indent=4,\n", " )\n", " file.close()" ] }, { "cell_type": "markdown", "id": "f2a6805c", "metadata": {}, "source": [ "Lets create a Q1ASM program to sequence the waveforms for sequencer 1." ] }, { "cell_type": "code", "execution_count": 33, "id": "b78ce8ce", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:56:06.695094Z", "iopub.status.busy": "2023-11-29T13:56:06.694867Z", "iopub.status.idle": "2023-11-29T13:56:06.701900Z", "shell.execute_reply": "2023-11-29T13:56:06.701670Z" } }, "outputs": [], "source": [ "# Program\n", "program = \"\"\"\n", "wait_sync 4\n", "wait 500\n", "play 2,2,1000\n", "stop\n", "\"\"\"\n", "\n", "# Write sequence to file\n", "with open(\"sequence1.json\", \"w\", encoding=\"utf-8\") as file:\n", " json.dump(\n", " {\n", " \"waveforms\": waveforms,\n", " \"weights\": waveforms,\n", " \"acquisitions\": acquisitions,\n", " \"program\": program,\n", " },\n", " file,\n", " indent=4,\n", " )\n", " file.close()" ] }, { "cell_type": "markdown", "id": "5c2da89a", "metadata": {}, "source": [ "Let's configure both sequencers and connect them to their respective outputs." ] }, { "cell_type": "code", "execution_count": 34, "id": "f25f31dd", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:56:06.703204Z", "iopub.status.busy": "2023-11-29T13:56:06.703042Z", "iopub.status.idle": "2023-11-29T13:56:08.195439Z", "shell.execute_reply": "2023-11-29T13:56:08.195031Z" } }, "outputs": [], "source": [ "# Configure scope mode\n", "readout_module.scope_acq_sequencer_select(0)\n", "readout_module.scope_acq_trigger_mode_path0(\"sequencer\")\n", "readout_module.scope_acq_trigger_mode_path1(\"sequencer\")\n", "\n", "# Program sequencer\n", "num_seq = 2\n", "for seq in range(0, num_seq):\n", " readout_module.sequencers[seq].sequence(f\"sequence{seq}.json\")\n", "\n", "# Configure the channel map\n", "readout_module.sequencer0.connect_out0(\"I\")\n", "readout_module.sequencer0.connect_acq_I(\"in0\")\n", "\n", "readout_module.sequencer1.connect_out1(\"I\")\n", "readout_module.sequencer1.connect_acq_I(\"in1\")\n", "\n", "# Configure sequencer\n", "for seq in range(0, num_seq):\n", " readout_module.sequencers[seq].sync_en(True)\n", " readout_module.sequencers[seq].mod_en_awg(False)\n", "\n", "readout_module.sequencer0.gain_awg_path1(\n", " 0.0\n", ") # Disable sequencer 0 path 1, because we will not use it.\n", "readout_module.sequencer1.gain_awg_path0(\n", " 0.0\n", ") # Disable sequencer 1 path 0, because we will not use it." ] }, { "cell_type": "markdown", "id": "84c1aabe", "metadata": {}, "source": [ "Now, let start the sequencers and visualize the resulting sequence." ] }, { "cell_type": "code", "execution_count": 35, "id": "608e8c4c", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:56:08.197471Z", "iopub.status.busy": "2023-11-29T13:56:08.197354Z", "iopub.status.idle": "2023-11-29T13:56:08.490987Z", "shell.execute_reply": "2023-11-29T13:56:08.490717Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Start sequencers\n", "for seq in range(0, num_seq):\n", " readout_module.arm_sequencer(seq)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for sequencers to stop (only sequencer 0 will acquire)\n", "for seq in range(0, num_seq):\n", " readout_module.get_sequencer_state(seq, timeout=1)\n", "readout_module.get_acquisition_state(0, timeout=1)\n", "\n", "# Get acquisition\n", "readout_module.store_scope_acquisition(0, \"scope\")\n", "acq = readout_module.get_acquisitions(0)\n", "\n", "# Plot result\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:2000])\n", "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][0:2000])\n", "ax.set_xlabel(\"Time (ns)\")\n", "ax.set_ylabel(\"Relative amplitude\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "1d2ecf50", "metadata": {}, "source": [ "As expected, we see a sine and sawtooth that are independently sequenced on the outputs." ] }, { "cell_type": "markdown", "id": "64126213", "metadata": {}, "source": [ "Stop\n", "----\n", "\n", "Finally, let's close the instrument connection. One can also display a detailed snapshot containing the instrument parameters before\n", "closing the connection by uncommenting the corresponding lines." ] }, { "cell_type": "code", "execution_count": 36, "id": "7243431e", "metadata": { "execution": { "iopub.execute_input": "2023-11-29T13:56:08.492444Z", "iopub.status.busy": "2023-11-29T13:56:08.492309Z", "iopub.status.idle": "2023-11-29T13:56:11.649147Z", "shell.execute_reply": "2023-11-29T13:56:11.648825Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Status: OKAY, Flags: NONE, Slot flags: NONE\n" ] } ], "source": [ "# Uncomment the following to print an overview of the instrument parameters.\n", "# Print an overview of the instrument parameters.\n", "# print(\"Snapshot:\")\n", "# readout_module.print_readable_snapshot(update=True)\n", "\n", "# Reset the cluster\n", "cluster.reset()\n", "print(cluster.get_system_state())" ] } ], "metadata": { "jupytext": { "formats": "ipynb,py:percent" }, "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": "3.9.18" } }, "nbformat": 4, "nbformat_minor": 5 }