{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e44dd86c",
   "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/main/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)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bceae2dc",
   "metadata": {
    "title": "PREAMBLE"
   },
   "source": [
    "Setup\n",
    "-----\n",
    "\n",
    "First, we are going to import the required packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b11daa47",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:10.194670Z",
     "iopub.status.busy": "2024-10-17T13:12:10.194453Z",
     "iopub.status.idle": "2024-10-17T13:12:11.115228Z",
     "shell.execute_reply": "2024-10-17T13:12:11.114412Z"
    }
   },
   "outputs": [],
   "source": [
    "from __future__ import annotations\n",
    "\n",
    "import json\n",
    "import math\n",
    "from typing import TYPE_CHECKING, Callable\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import scipy.signal\n",
    "from qcodes.instrument import find_or_create_instrument\n",
    "from scipy.fft import rfft, rfftfreq\n",
    "\n",
    "from qblox_instruments import Cluster, ClusterType\n",
    "\n",
    "if TYPE_CHECKING:\n",
    "    from qblox_instruments.qcodes_drivers.module import Module"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebfc6029",
   "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/main/api_reference/tools.html#api-pnp) for more info)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37340a2e",
   "metadata": {},
   "source": [
    "`!qblox-pnp list`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bcd978ca",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:11.117797Z",
     "iopub.status.busy": "2024-10-17T13:12:11.117610Z",
     "iopub.status.idle": "2024-10-17T13:12:11.120715Z",
     "shell.execute_reply": "2024-10-17T13:12:11.120186Z"
    }
   },
   "outputs": [],
   "source": [
    "cluster_ip = \"10.10.200.42\"\n",
    "cluster_name = \"cluster0\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36e092de",
   "metadata": {},
   "source": [
    "### Connect to Cluster\n",
    "\n",
    "We now make a connection with the Cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e9d1f69f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:11.122532Z",
     "iopub.status.busy": "2024-10-17T13:12:11.122374Z",
     "iopub.status.idle": "2024-10-17T13:12:11.918788Z",
     "shell.execute_reply": "2024-10-17T13:12:11.917987Z"
    },
    "lines_to_next_cell": 2
   },
   "outputs": [],
   "source": [
    "cluster = find_or_create_instrument(\n",
    "    Cluster,\n",
    "    recreate=True,\n",
    "    name=cluster_name,\n",
    "    identifier=cluster_ip,\n",
    "    dummy_cfg=(\n",
    "        {\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",
    "    ),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1b9837a",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "source": [
    "#### Get connected modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6bbdcdfc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:11.921183Z",
     "iopub.status.busy": "2024-10-17T13:12:11.920984Z",
     "iopub.status.idle": "2024-10-17T13:12:11.924991Z",
     "shell.execute_reply": "2024-10-17T13:12:11.924319Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_connected_modules(cluster: Cluster, filter_fn: Callable | None = None) -> dict[int, Module]:\n",
    "    def checked_filter_fn(mod: ClusterType) -> bool:\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": 5,
   "id": "29addf34",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:11.926813Z",
     "iopub.status.busy": "2024-10-17T13:12:11.926615Z",
     "iopub.status.idle": "2024-10-17T13:12:11.949657Z",
     "shell.execute_reply": "2024-10-17T13:12:11.949085Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{4: <Module: cluster0_module4 of Cluster: cluster0>,\n",
       " 17: <Module: cluster0_module17 of Cluster: cluster0>}"
      ]
     },
     "execution_count": 5,
     "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": 6,
   "id": "400591d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:11.951411Z",
     "iopub.status.busy": "2024-10-17T13:12:11.951222Z",
     "iopub.status.idle": "2024-10-17T13:12:11.954108Z",
     "shell.execute_reply": "2024-10-17T13:12:11.953505Z"
    },
    "lines_to_next_cell": 0
   },
   "outputs": [],
   "source": [
    "readout_module = modules[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdf6de29",
   "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": 7,
   "id": "8007f1df",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:11.955917Z",
     "iopub.status.busy": "2024-10-17T13:12:11.955743Z",
     "iopub.status.idle": "2024-10-17T13:12:14.417550Z",
     "shell.execute_reply": "2024-10-17T13:12:14.416865Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, Flags: NONE, Slot flags: NONE\n"
     ]
    }
   ],
   "source": [
    "cluster.reset()\n",
    "print(cluster.get_system_status())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "031eec51",
   "metadata": {
    "title": "BODY"
   },
   "source": [
    "Generate waveforms <a id='gen_wf'></a>\n",
    "------------------\n",
    "\n",
    "Next, we need to create the gaussian and block waveforms for the sequence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e43c6cb1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:14.419495Z",
     "iopub.status.busy": "2024-10-17T13:12:14.419310Z",
     "iopub.status.idle": "2024-10-17T13:12:14.425113Z",
     "shell.execute_reply": "2024-10-17T13:12:14.424373Z"
    }
   },
   "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": "5c9d692b",
   "metadata": {},
   "source": [
    "Let's plot the waveforms to see what we have created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "22e4e8f3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:14.427054Z",
     "iopub.status.busy": "2024-10-17T13:12:14.426863Z",
     "iopub.status.idle": "2024-10-17T13:12:14.647736Z",
     "shell.execute_reply": "2024-10-17T13:12:14.647112Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "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)\n",
    "\n",
    "for wf, d in waveforms.items():\n",
    "    ax.plot(time[: len(d[\"data\"])], d[\"data\"], label=wf)\n",
    "\n",
    "ax.legend()\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": "9519c998",
   "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": 10,
   "id": "e6cdd3e5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:14.649762Z",
     "iopub.status.busy": "2024-10-17T13:12:14.649576Z",
     "iopub.status.idle": "2024-10-17T13:12:14.652722Z",
     "shell.execute_reply": "2024-10-17T13:12:14.652112Z"
    }
   },
   "outputs": [],
   "source": [
    "# Acquisitions\n",
    "acquisitions = {\"scope\": {\"num_bins\": 1, \"index\": 0}}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d56e4c44",
   "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 sinusoid wave for path 0 and 1 respectively per sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2cac7244",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:14.654521Z",
     "iopub.status.busy": "2024-10-17T13:12:14.654349Z",
     "iopub.status.idle": "2024-10-17T13:12:15.609717Z",
     "shell.execute_reply": "2024-10-17T13:12:15.606613Z"
    }
   },
   "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": "6f8fdb5f",
   "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 <span style=\"color:#ed1c24\">in-phase path</span> of each sequencer to the ports with the even output port numbers (indexed from 0) and the <span style=\"color:#37b5b9\">quadrature path</span> of each sequencer to the ports with the odd output port numbers.\n",
    "<!---\n",
    ", like is shown in the figure below. Note that this figure is for the [QCM](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/qcm.html), so it has 4 outputs.\n",
    "\n",
    "<img src=\"https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/figures/QBLOX_MULTIPLEXING_DIAGRAM.svg\" alt=\"drawing\" width=\"1000\"/>\n",
    "-->"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3faea7d8",
   "metadata": {},
   "source": [
    "Now lets configure the first sequencer to output its <span style=\"color:#ed1c24\">in-phase</span> and <span style=\"color:#37b5b9\">quadrature</span> 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 <span style=\"color:#ed1c24\">in-phase</span> and <span style=\"color:#37b5b9\">quadrature</span> input paths of the same sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "70cd67a6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:15.616768Z",
     "iopub.status.busy": "2024-10-17T13:12:15.616595Z",
     "iopub.status.idle": "2024-10-17T13:12:15.892225Z",
     "shell.execute_reply": "2024-10-17T13:12:15.891494Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "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_status(0)\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)\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": "f486e3b9",
   "metadata": {},
   "source": [
    "Let's add the second sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ea575dac",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:15.894206Z",
     "iopub.status.busy": "2024-10-17T13:12:15.894022Z",
     "iopub.status.idle": "2024-10-17T13:12:16.113281Z",
     "shell.execute_reply": "2024-10-17T13:12:16.112590Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "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_status(seq)\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)\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": "11ab9188",
   "metadata": {},
   "source": [
    "Let's add the third sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ee9b281b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:16.115334Z",
     "iopub.status.busy": "2024-10-17T13:12:16.115133Z",
     "iopub.status.idle": "2024-10-17T13:12:16.348347Z",
     "shell.execute_reply": "2024-10-17T13:12:16.347659Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "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_status(seq)\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)\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": "d1ebed97",
   "metadata": {},
   "source": [
    "Let's add the fourth sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2a7b85ae",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:16.350271Z",
     "iopub.status.busy": "2024-10-17T13:12:16.350099Z",
     "iopub.status.idle": "2024-10-17T13:12:16.627540Z",
     "shell.execute_reply": "2024-10-17T13:12:16.626874Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "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_status(seq)\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)\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": "963160a2",
   "metadata": {},
   "source": [
    "Let's add the fifth sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b91764a2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:16.629571Z",
     "iopub.status.busy": "2024-10-17T13:12:16.629370Z",
     "iopub.status.idle": "2024-10-17T13:12:16.874792Z",
     "shell.execute_reply": "2024-10-17T13:12:16.874104Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "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_status(seq)\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)\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": "a9937469",
   "metadata": {},
   "source": [
    "Let's add the sixth sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "132e01e6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:16.876765Z",
     "iopub.status.busy": "2024-10-17T13:12:16.876555Z",
     "iopub.status.idle": "2024-10-17T13:12:17.131111Z",
     "shell.execute_reply": "2024-10-17T13:12:17.130446Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "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_status(seq)\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)\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": "cbfdd6f5",
   "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": "ac3c9c64",
   "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": 18,
   "id": "16c11f72",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:17.133206Z",
     "iopub.status.busy": "2024-10-17T13:12:17.133006Z",
     "iopub.status.idle": "2024-10-17T13:12:19.587144Z",
     "shell.execute_reply": "2024-10-17T13:12:19.586341Z"
    }
   },
   "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": "cd511a70",
   "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": 19,
   "id": "79f40b9a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:19.589491Z",
     "iopub.status.busy": "2024-10-17T13:12:19.589300Z",
     "iopub.status.idle": "2024-10-17T13:12:19.866844Z",
     "shell.execute_reply": "2024-10-17T13:12:19.863480Z"
    }
   },
   "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": 20,
   "id": "84d51ccc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:19.876363Z",
     "iopub.status.busy": "2024-10-17T13:12:19.875414Z",
     "iopub.status.idle": "2024-10-17T13:12:19.936906Z",
     "shell.execute_reply": "2024-10-17T13:12:19.933606Z"
    },
    "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_status(0)\n",
    "\n",
    "# Get acquisition data\n",
    "readout_module.store_scope_acquisition(0, \"scope\")\n",
    "acq = readout_module.get_acquisitions(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1cd8081",
   "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": 21,
   "id": "cd0cd549",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:19.946198Z",
     "iopub.status.busy": "2024-10-17T13:12:19.945394Z",
     "iopub.status.idle": "2024-10-17T13:12:20.093541Z",
     "shell.execute_reply": "2024-10-17T13:12:20.092909Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MAAAQP4QwwIYqrgmjEgYAABBrhDDAhsyKl3lNWKAxB5UwAAAAyxHCABtiOiIAAED8EMIAG6IxBwAAQPwQwgAbohIGAAAQP4QwwIY8VSphXBMGAAAQO4QwwIaqNuZgOiIAAEDsEMIAG2I6IgAAQPwQwgAbojEHAABA/BDCABvyUAkDAACIG0IYYEOBa8JczkqfPVTCAAAALEcIA2yo+jVh5nREKmEAAABWI4QBNlTtmjCHOR2RShgAAIDVCGGADVWsE0YlDAAAINYIYYANmRUvc52wJFdZGPP4CGEAAABWI4QBNlRbi3pDkt9gSiIAAICVCGGADdW2WHPZfVTDAAAArEQIA2yotkpY2X1UwgAAAKxECANsyLz2i0oYAABA7BHCABvyGlUacwRVwmjOAQAAYC1CGGBDVacjOh3BlTCmIwIAAFiJEAbYUNXGHA6HI/BvpiMCAABYixAG2FDFNWEVvwIqFmymEgYAAGAlQhhgQ2a1K/haMPPfHiphAAAAliKEATZUdTpi8L+ZjggAAGAtQhhgM4ZhyGeYIYzpiAAAALFGCANsxgxgEpUwAACAeCCEATYTvA4YlTAAAIDYI4QBNhMcspJcFZUwGnMAAADEhjtaB9q3b59Wrlyp7du3a+/evWrevLkeeOABtW7dWrNnz1Z6err69esnl8sVrVMCaIDg6YaVK2HmdEQqYQAAAFaKSgh77rnn9OSTT+rQoUNq1aqVWrdurcLCQp1zzjm68sor9corr2jZsmUaMGCAPvroI5100knROC2ABggOWS5H8DVh5nREKmEAAABWing64qJFizRhwgT99Kc/1d69e1VcXKyVK1fKMAwZ5Q0A/v73v+vTTz/VV199pZdeeiniQQNoOHO6ocvhkMNRU2MOKmEAAABWijiEPf/88xo4cKCmTp2qdu3aSVKlF3amAQMG6MYbb9ScOXMiPSWACAQWanZV/u9vfs01YQAAANaKOIRt2rRJF198cVjb9uzZUzt37oz0lAAiUNNCzcFfMx0RAADAWhGHsIKCAnXs2DGsbU866SQdOHAg0lMCiIAZsoKbckiS20GLegAAgFiISot6pzO8w9Q0TRFAbFEJAwAAiK+IQ5jb7ZbH4wlrW6/XS4t6IM48tVTCzGvCqIQBAABYK+IQlpWVpV27doW17Z49e9S1a9dITwkgAoHGHFWnI5qLNfuohAEAAFgp4hDWu3dvffTRR/J6vSG3MwxDf/vb33TmmWdGekoAEWA6IgAAQHxFvFjz5MmTdd555+myyy7T2LFj1a1bNx07dkyStHv3bq1fv147d+7Uyy+/rHXr1umdd96JeNAAGq7WxhxOpiMCAADEQsQhrE+fPlq8eLHGjx+v4cOHV2q+MWrUKDkcDhmGod69e2vRokXq06dPg85z8OBBPf3001q0aJH27dsXWAi6bdu2ys3N1aRJk0J2afR6vZoyZYpmzZqlQ4cOBW53u9069dRTNXnyZA0YMKBBYwMSiTndsNZKmEElDAAAwEoRhzBJGjRokL755hsdPHhQ27dvV3FxceC+Vq1aqVu3bjr55JMbfHyfz6dBgwZpyJAhWrp0qdq2bRsIe8XFxZo5c6b69eun1atXq2XLljUe4ze/+Y3+/e9/64svvtApp5wSuN0wDH355Ze65ZZb9Nlnn6lbt24NHieQCMxKV9VrwpK4JgwAACAmohLCTG3atNHZZ58dzUNKkubNm6esrCzl5eVVuy81NVVjx47Vt99+qxkzZmjcuHE1HuPjjz/Ws88+WymASWVt8y+88ELdfvvt+utf/6oxY8ZEffxAY2JWupiOCAAAEB9RWSfMamvWrNHAgQNDbjN48GCtWbOm1vvHjRsXcipk586dtWfPngaPEUgUNOYAAACIr4QIYQUFBerUqVPIbdLT07Vjx45a77/mmmvUrFmzkOc499xzGzxGIFHQmAMAACC+wp6O+Mknn6igoCDiE2ZkZOiKK66o1z4+n6/ORZ7dbnedbfJr4vV69eWXX+rjjz/Www8/HHLb0tJSlZaWBr4uKSmp9/mAePP4aq6EJQVCGJUwAAAAK4Udwn76059q69at1W43ux/WxWykkZ2drc2bN9djiNH3u9/9TlOnTpUkHThwQH6/X4sWLaqzecjUqVM1efLkWAwRsEztizWX/R/1UAkDAACwVNjTEbds2SK/31/twzAMvfTSSzXeZ378+9//1kUXXaRhw4Zpw4YNEQ9648aNys7O1qZNmxq0/9ixY1VUVKSioiIdOnRIX3zxhR599FGtXLky5H4TJ05UcXFx4GPnzp0NOj8QT7VfE0YlDAAAIBZick3YWWedpQULFuhvf/ubXn/99YiP16NHD23dulWnn356xMdq1qyZfvSjH2natGmaMmVKyG2Tk5PVunXrSh9Aoqn9mjCzMQeVMAAAACvFrDFHu3btdNVVV+m9996r977hXO/l9Xrldje84/5ZZ52l1atXN3h/IFF4/LUt1kwlDAAAIBZi2h2xZ8+eWr9+fb33y8jIUFFRUchtCgsL1aVLlxrvW716te6+++6Q+zudTjmdCdEsEohIYLFmV9XFms1rwghhAAAAVopp6jjllFN04MCBeu+Xk5Oj/Pz8kNvk5+crJyenxvtOPvlkffnllyEbiKxbt06nnnpqvccGJJrAdEQHLeoBAADiIeIQ5nQ65fP5wtrW7JBYX0OHDlVBQYHy8vK0f//+SmGqpKRE06dP18KFCzV69Oga98/IyFC7du303HPPVWoxL0mGYWjz5s0aN26cxowZ06DxAYmExZoBAADiK+IQlpmZqd27d4e17ffff6/MzMx6n8PlcmnJkiU6duyYcnNzlZ6errS0NKWlpalv375au3atli9frpSUFEnS0qVL1b1798A6Xg6HQ3PmzNGGDRvUo0ePwL5paWnq3LmzbrnlFj344IO67rrr6j02INF4WKwZAAAgrhreyaJcz5499emnn4a17ZIlS9SjR48GnSc1NVXTpk3TtGnT6tx2wIAB2rJlS6XbOnXqpDfeeKNB5waaEm8tjTnMa8SohAEAAFgr4krYxIkT9dVXX+nuu+/W2rVrVVJSUmmNsJKSEq1evVp33XWX/vnPf+rRRx+NxrgBNFBtjTncNOYAAACIiYgrYZdeeqnefPNNTZw4UW+//XaN2xiGoQ4dOuiNN97QJZdcEukpAUSg1nXCHExHBAAAiIWIQ5gkjRw5UjfffLM2btyo7du3q7i4OHBfamqqsrKy1KNHD7Vo0SIapwMQARpzAAAAxFdUQpgktWjRQmeffbbOPvvsaB0SgAVozAEAABBfrE4M2IxZ6UqqEsLMa8Q8PiphAAAAViKEATbDdEQAAID4isp0RH89XrQ5neQ+IJ5qbczBdEQAAICYiDgRnXrqqUpKSgr7o3v37tEYN4AG8vjqqIQZVMIAAACsFHElbMaMGdq1a1et93u9Xi1btkyzZ8/W6NGjde2110Z6SgARqK0SlkQlDAAAICYiDmGDBw+uc5t77rlH11xzje655x5NmDAh0lMCiEBgseZqlTAacwAAAMRCzC7QuvHGG5Wdna1p06bF6pQAamBON6x+TZjZmINKGAAAgJVi2iVj4MCBWrx4cSxPCaCK2rsjmtMRqYQBAABYKaYhLC0tLeT1YwCsZ043pBIGAAAQHzENYS1atNDx48djeUoAVdS6WLN5TRiVMAAAAEvFNITt27dP6enpsTwlgCpYrBkAACC+YhrC/vGPf7BOGBBnLNYMAAAQXxG3qA/H4cOH9cILL2jJkiWaO3duLE4JoBaeQAijEgYAABAPEYew3Nxcbdu2rdb7Dx8+rOLiYjVr1kyPPfaYhg0bFukpAUSgYjoiizUDAADEQ8QhbOTIkdqxY0et97du3VpZWVm64IILuB4MaAQCjTlcNU9HpDEHAACAtSIOYXfddVc0xgEgRgKVMAfTEQEAAOIhpo05AMRfOI05DIMpiQAAAFaJOIQdPXrU0u0BRFddjTkkyU8IAwAAsEzEISwjI0PvvfdeWNv+8Y9/VJcuXSI9JYAImNMRq14TFvw114UBAABYJ+IQdvDgQR08eDCsbTdt2qSUlJRITwkgAnVNRyzbhkoYAACAVWJ6TdjSpUt12mmnxfKUAKqoaFFf+3REmnMAAABYp0HdEf3lL9DMi/f9fn/gtqqOHj2qnTt36qWXXtIXX3yhxYsXN3CoAKLBQyUMAAAgrupdCZs5c6bcbreSkpLUrFkzSdLYsWOVlJRU40dqaqrOPPNMzZ49Wy+99JIuv/zyqD8IAOGrrRLmdDjkLG9b7/FRCQMAALBKvSthV155pWbOnCnDKGtjfffdd2vEiBEaNGhQjdunpKQoKytLPXv21EknnRTxgAFEJrBYs7P6ezBup0MnfAaVMAAAAAvVO4R17NhRd9xxR+Dru+++WxdeeKHuvPPOqA4MgDVqq4SV3ebUCZ+fa8IAAAAsFHFjjieeeEKDBw+OxlgAxEBt3RHLbisLZl7WCQMAALBMgxpzBPvVr34VjXEAiBHzeq/aKmES3REBAACsFNMW9QDiy28YMmtcNV0TluSkMQcAAIDV6lUJy8vL04oVK3TzzTdr1KhRkqT169erqKgo7GOkpaWpV69e9RslgKgIrnDVPB3RrIQxHREAAMAq9QphU6dOldfr1d69ewMhbNCgQdqzZ0/Yx+jYsaN2795dv1ECiIrgcFXzdMTya8KYjggAAGCZeoWwV155RV988YWGDRsWuG3Dhg06ePBg2Mdo06ZNfU4JIIqCpxlSCQMAAIiPeoWwe+65R/fcc0+l21JTU5WamhrVQQGwRuXpiNUrYeZ1Yh4qYQAAAJahMQdgI2aFyyHJFapFPSEMAADAMjENYYWFhZo1a1YsTwkgSKg1woJvZzoiAACAdWIawubMmaOf/vSnsTwlgCAef+1rhAXfTiUMAADAOjENYf/85z/VrVu3WJ4SQBCzwlVbJSzJRSUMAADAamE35nj99de1Y8eOBp2ktLRUa9eu1eLFi/Xaa6816BgAImdWuMywVZXbQWMOAAAAq4Udwt59911t3769QSdp3ry5unXrptmzZ2v48OENOgaAyFVUwpiOCAAAEC9hh7DPPvvMynEAiAEacwAAAMQfLeoBG/GYlTAHlTAAAIB4IYQBNlLXNWHm7R4flTAAAACrEMIAG6n7mrDy6YgGlTAAAACrhH1NWF127dqlL7/8Utu2bVNxcXHg9tTUVHXr1k0XXHCBOnfuHK3TAWiAuq8JM6cjUgkDAACwSlRC2GOPPabnnntOpaWlatu2rVq1ahW479ChQ/rhhx+UnJysn//853riiSeicUoADeDx1bFYs8NszEElDAAAwCoRT0f885//rClTpmjixIkqLi7Wvn37tG3btsDHvn37VFJSookTJ2rKlCn685//HI1xA2gAr1HXYs1UwgAAAKwWcQibPn26Bg8erMcff7xSBSzYSSedpMcff1yDBw/W9OnTIz0lgAYKNOaoo0W9WTEDAABA9EUcwrZs2aILL7wwrG0vvPBCbdmyJdJTAmggFmsGAACIv4hDWGFhoTp06BDWtu3bt9fu3bsjPSWABmKxZgAAgPiLOIS53W55PJ7wTlbLCz8AsVFnYw4qYQAAAJaLOBW1b99ee/bsicZYAFjMrHDVdk2YebuHEAYAAGCZiENY37599fXXX0djLAAsxnREAACA+Is4hI0ePVr5+fn673//G43xALAQjTkAAADiL+LFmi+++GLdcccduuKKKzRlyhRddNFFcrlcNW67d+9eSdK2bdtkGBXvtLdp00Zt27aNdCgA6uChEgYAABB3EYewnj176vvvv5ckjRw5Ug5Hze+wSwoEr+7du1e6rUOHDioqKop0KADqUDEdseb/p0mBEEYlDAAAwCoRh7DPPvssEMIaKtwW9wAiU1djDjOc0ZgDAADAOhGHsDPOOENnnHFGNMYCwGI05gAAAIg/Fu4CbITGHAAAAPFHCANshMYcAAAA8UcIA2wkcE2YK3RjDq4JAwAAsE5UQtiKFSt0/fXX67TTTlNKSopcLletH6effno0TgmgAeq+JsycjkglDAAAwCoRN+bIz8/X5ZdfrqysLN10003KyMhQixYtat0+IyMj0lMCaKC6rwmjRT0AAIDVIg5hkyZN0plnnqmvvvpKzZs3j8aYAFgkcE2Yg0oYAABAvEQ8HXHDhg26/vrrCWBAAqhzsWYXlTAAAACrRRzC9u/fr1NOOSUaYwFgsYrGHCzWDAAAEC8Rh7AWLVro0KFD0RgLAIuxWDMAAED8RRzCevToofXr10djLAAsxmLNAAAA8RdxCBs/frxmz56tZcuWRWM8ACzk8dVRCXNQCQMAALBaxN0Rb7vtNvl8Pg0aNEjnnHOOunXrppYtW9a6fdeuXZWXlxfpaQE0gNcoC2FJtYQw81oxM6wBAAAg+iIOYXv37tVvf/tbeb1e7dixQz6fL+Q6YV6vt8HnOnjwoJ5++mktWrRI+/btk2GUvVvftm1b5ebmatKkSerYsWPI/X/1q19p4cKFOnbsWOB2t9ut008/XU899ZQuvvjiBo8PaOyYjggAABB/EYewhx9+WJs3b9Ynn3yiwYMHR2NMNTKrbUOGDNHSpUvVtm1bORxlLxiLi4s1c+ZM9evXT6tXr661Ejdu3Di1adNGa9euVUpKSuB2v9+vL774QiNGjNCKFSuUnp5u2eMA4onGHAAAAPEX8TVhH3/8se6++25LA5gkzZs3T1lZWcrLy1O7du0CAUySUlNTNXbsWF111VWaMWNGrcdYvHixnn766UoBTJKcTqf69++vW265RQsWLLDsMQDxVnFNGJUwAACAeIk4hO3du1ennXZaNMYS0po1azRw4MCQ2wwePFhr1qyp9f4JEyaEnCqZmZmpnTt3NniMQGNXMR2xlmvCzEqYQSUMAADAKhGHMLfbLX8M3jUvKChQp06dQm6Tnp6uHTt21Hr/uHHjQu6/du1ade/evUHjAxKBWeGqrTGHGc5ozAEAAGCdiENYdnZ2yOATLT6fTy6XK+Q2bre7wY0/PvroIy1evFjDhg2rdZvS0lKVlJRU+gASCY05AAAA4i/iEDZ69GjNnTu3UrfBRHLgwAGNHDlS48aN0/z583XyySfXuu3UqVOVmpoa+MjMzIzhSIHIeWjMAQAAEHcRd0e84oor9NFHH+ncc8/V/fffr6ysrJDrhHXs2FG9e/eO9LTauHGjrrzySi1evFinn356vfc3DENz5szRhAkTdMMNN+jrr79WampqyH0mTpyo8ePHB74uKSkhiCGhUAkDAACIv4hD2ODBg/X9999Lkh588ME6t+/YsaN2794d6WnVo0cPbd26tUH77ty5UyNHjpRhGFq0aFHYoTA5OVnJyckNOifQGNR1TZh5u4dKGAAAgGUiDmEbN27UwYMHw96+TZs2DTpPONd7eb1eud2hH9JXX32lm2++WRMnTtSoUaMqtboHmrq6K2FlIcxvGPIbhpz8/wAAAIi6iEOYeX2U1TIyMlRUVBRym8LCQnXp0qXW+w8ePKjrr79es2fPVv/+/aM9RKDRq3ux5orQ5fMbcroIYQAAANEWcWOOcB07dkxvv/22Hn300Qbtn5OTo/z8/JDb5OfnKycnp9b7n3/+ed16660EMNhWRWOO0JUwievCAAAArGJ5CFu3bp0efPBBpaen6+6779aWLVsadJyhQ4eqoKBAeXl52r9/v4ygxWRLSko0ffp0LVy4UKNHj671GKtWrdLVV1/doPMDTUGdizUHVb7okAgAAGANS0LY8ePH9c4776h///7q06eP3nvvPY0ePVrffvut5syZ06BjulwuLVmyRMeOHVNubq7S09OVlpamtLQ09e3bV2vXrtXy5cuVkpIiSVq6dKm6d+9eaS2vH374QTfeeGNgv5o+RowYEZXvAdAYBRpzuEK3qJcqqmYAAACIroivCQu2fv16vfrqq3rnnXd08OBBORwOPfroo3rkkUfUvHnziI+fmpqqadOmadq0aXVuO2DAgGpVt3/84x8RjwFIZHU15nA5githhDAAAAArRFwJKy0t1axZs3TJJZcoJydHr732mm688UYtWLBAhmHowgsvjEoAAxC5uhZrdjgcgSDGdEQAAABrNLgStmHDhkDV64cfflCPHj30wgsv6M4771Rqaqp27doVzXECiIJAd8QQrefdTod8PoNKGAAAgEXqFcJOnDihuXPnasaMGVq+fLmcTqeGDRum++67TwMHDrRqjACixKxu1XZNmHlfqc8vj48QBgAAYIV6hbA+ffpo8+bNSk5OVl5enkaNGqVOnTpZNTYAUVbXOmHB93kNpiMCAABYoV7XhF177bVq3ry5jh8/rlmzZmnOnDk6cOCAVWMDEEWGYdTZmCP4PqYjAgAAWKNeIezXv/61CgsL9eKLL6p58+YaP368MjIy9JOf/ERff/21VWMEEAW+oMpWWJUwGnMAAABYot7dEVNTU/XAAw9o9erVWrFihYYPH6733ntPP/rRj3TBBRfonXfe0fHjx60YK4AIBFe2QlXCkgIhjEoYAACAFSJqUX/RRRdp5syZKiws1AsvvKCjR49q5MiRysjI0OOPPy5HiA5sAGIruLKVFLISVvb/lsYcAAAA1oh4nTBJatOmjR588EGtWbNGy5Yt01VXXaX33ntPhmHoiSee0AcffCCv1xuNUwFooMqVMKYjAgAAxEtUQliwfv366Z133glUxw4dOqSbb75ZXbp00eTJk1VYWBjtUwIIg8dXEapcNOYAAACIm6iHMNPJJ5+ssWPHat26dfr73/+uyy67TM8884z69Olj1SkBhGCGKqfDIWeIqcJJVMIAAAAsZVkIC3bJJZdo1qxZ2rVrl/7v//4vFqcEUEVgoeYQVTCpYjqih0oYAACAJeq1WHOk2rZtq7Zt28bylADKhbNQc9n95nREKmEAAABWiEklDED8eY26F2ouu58W9QAAAFYihAE2YbacpxIGAAAQX4QwwCYqpiOGroSxWDMAAIC1CGGATVQ05givEkZjDgAAAGsQwgCbCL8xBy3qAQAArEQIA2zCE+Z0RBZrBgAAsBYhDLAJs7JVVyUsyUUlDAAAwEqEMMAmzMqWGbJq43awWDMAAICVCGGATVRUwpiOCAAAEE+EMMAmaMwBAADQOBDCAJugMQcAAEDjQAgDbCIwHdFBYw4AAIB4IoQBNhF2Y47y6YgeH5UwAAAAKxDCAJuod2MOgxAGAABgBUIYYBNmZYvGHAAAAPFFCANsItxKWFIghFEJAwAAsAIhDLAJc3phUp2VsLKQ5vFRCQMAALACIQywifCvCaMSBgAAYCVCGGAT4V8TZq4TRiUMAADACoQwwCa8YS/WTCUMAADASoQwwCYqpiPWsVizeU0YIQwAAMAShDDAJgKLNdOiHgAAIK4IYYBN1HuxZiphAAAAliCEATbh8bNYMwAAQGNACANsItzGHCzWDAAAYC1CGGATZmUr7MWaCWEAAACWIIQBNuFlOiIAAECjQAgDbMIT9jphNOYAAACwEiEMsIlw1wmjEgYAAGAtQhhgE2E35nCV/VrgmjAAAABrEMIAmwg05nDVUQlzMB0RAADASoQwwCZozAEAANA4EMIAm/AErgmjMQcAAEA8EcIAmwhUwhyh/9ub0xWphAEAAFiDEAbYRMU1YXVVwsobc/iohAEAAFiBEAbYRPjXhJVPRzSohAEAAFiBEAbYhFnZqvuaMHM6IpUwAAAAKxDCAJsIf7FmszEHlTAAAAArEMIAm/AaZZWtpDpCWBLXhAEAAFiKEAbYhJcW9QAAAI0CIQywCRZrBgAAaBwIYYBNhN+Yg0oYAACAlQhhgE2E25jDvCbMkOSnTT0AAEDUEcIAmzArW3U15ggOaTTnAAAAiD5CGGAT9W3MUbYPIQwAACDaCGGATXjq2ZhDojkHAACAFQhhgE1UdEcMXQlLcgWHMCphAAAA0UYIA2zCrGoFh6yaOB0OmTHNQwgDAACIOkIYYBPhrhMWvA3TEQEAAKKPEAbYRKAxhyP0dESJtcIAAACsRAgDbCLcxhzB21AJAwAAiD5CGGAT4baolyquG6MSBgAAEH2EMMAG/IYhvxFeYw6pIqh5qIQBAABEHSEMsAFfUJgKpxJWMR2RShgAAEC0EcIAGwhuNR/WNWEOszEHlTAAAIBoI4QBNuCtFMK4JgwAACCeCGGADQRXtJLC6o5Yfk2YjxAGAAAQbYQwwAaCK1rOsNYJo0U9AACAVQhhgA2YFS230yEHizUDAADEVUKHsIMHD2rChAnKyclRp06dlJaWprS0NPXq1Uv33Xef9uzZE9ZxVq5cqa5du+rIkSMWjxiIj4o1wsL7Lx+ohBlUwgAAAKItYUOYz+fToEGDlJKSoqVLl6qwsFBFRUUqKirSypUr1bNnT/Xr109Hjx4NeZzPP/9ct9xyiw4cOCCPxxOj0QOxZVa0wmnKIVVcN0YlDAAAIPoSNoTNmzdPWVlZysvLU7t27SpNsUpNTdXYsWN11VVXacaMGbUeY8WKFbrttts0f/58tW3bNhbDBuLCrGiF05RDojEHAACAlRI2hK1Zs0YDBw4Muc3gwYO1Zs2aWu9v1qyZFi1apHPOOSfawwMalYpKWD2nI9KYAwAAIOrc8R5AQxUUFKhPnz4ht0lPT9eOHTtqvf9HP/pRtIcFNErBjTnCQWMOAAAA6yRsCPP5fHK5XCG3cbvd8nq9UTtnaWmpSktLA1+XlJRE7diAlerbmCOJShgAAIBlEnY6YjxMnTpVqampgY/MzMx4DwkIi1nRCv+asLLtPFTCAAAAoq7JhLCNGzcqOztbmzZtsuwcEydOVHFxceBj586dlp0LiKaKShjTEQEAAOItYacjVtWjRw9t3brV0nMkJycrOTnZ0nMAVvDQmAMAAKDRSNhKWDjXe3m9XrndTSZnAg1GJQwAAKDxSNgQlpGRoaKiopDbFBYWqkuXLjEaEdB41bdFPY05AAAArJOwISwnJ0f5+fkht8nPz1dOTk6MRgQ0XmaYSnKFWwmjMQcAAIBVEjaEDR06VAUFBcrLy9P+/ftlGBXv2JeUlGj69OlauHChRo8eHcdRAo1DoBLmCPeaMHM6IpUwAACAaEvYEOZyubRkyRIdO3ZMubm5Sk9PV1pamtLS0tS3b1+tXbtWy5cvV0pKiiRp6dKl6t69e61re3Xo0EHNmjWL5UMAYqaiMUf9KmFcEwYAABB9Cd21IjU1VdOmTdO0adPq3HbAgAHasmVLrfd/9dVX0Rwa0KjUe7FmF5UwAAAAqyRsJQxA+AKLNbtYrBkAACDeCGGADdCiHgAAoPEghAE24PHVc7FmBy3qAQAArEIIA2zAa9S3MQeVMAAAAKsQwgAbCExHDLNFvXntGJUwAACA6COEATbQ4MYcPiphAAAA0UYIA2yAxhwAAACNByEMsIF6N+ZwMh0RAADAKoQwwAbMila4lbAkM4QZVMIAAACijRAG2IBZ0UoKuxJWFta4JgwAACD6CGGADVS0qGc6IgAAQLwRwgAb8PhozAEAANBYEMIAG6i4JoxKGAAAQLwRwgAbqG+L+kBjDiphAAAAUUcIA2wgsFhzfRtzUAkDAACIOkIYYAP1X6yZShgAAIBVCGGADXjqfU2Y2ZiDShgAAEC0EcIAG2jwYs1UwgAAAKKOEAbYQGCxZld9rwkjhAEAAEQbIQywgUAlzEGLegAAgHgjhAE24KnndEQWawYAALAOIQywgYruiFTCAAAA4o0QBthAvRtzuGjMAQAAYBVCGGADNOYAAABoPAhhgA14fPVdJ4zpiAAAAFYhhAE24DXq2ZjDQWMOAAAAqxDCABuob2OOimvCqIQBAABEGyEMsAGzopVUz+mI5jRGAAAARA8hDLCBikpY/dYJ8xmGDINqGAAAQDQRwgAbaGhjDqksiAEAACB6CGGADdS3EhY8bZHmHAAAANFFCANsoGKx5vqtE1a2L5UwAACAaCKEATbgLZ9SmBT2NWEVvxpozgEAABBdhDDABup7TZiLShgAAIBlCGGADVRMRwyvEuZ0OORkwWYAAABLEMIAG6jvYs1SxdRFKmEAAADRRQgDbKC+izVLQQs2UwkDAACIKkIYYAP1bVEfvC3TEQEAAKKLEAY0cYZhBKpZ9ZmOaG7LdEQAAIDoIoQBTZzfqAhR9amEJbnMEEYlDAAAIJoIYUATF1zJqlclrLw7IteEAQAARBchDGjigitZZnUrHExHBAAAsAYhrAkxDEOGwQtmVBZcyaIxBwAAQPwRwpoAwzB054JlSv/dn7T5h5J4DweNTIOnI1IJAwAAsAQhrAlwOBzaXnxYRYeP6fMde+I9HDQyZiXLIcnpoDEHAABAvBHCmohLu3SUJEIYqjErWfW5HkyqmI5IYw4AAIDoIoQ1EZd2SZMk/f27ojiPBI2NtwFrhAVvz3REAACA6CKENREXZ5wit9OhHSVH9N3Bw/EeDhoRT3mIqk9TjuDtmY4IAAAQXYSwJiKlWZLO69ROkvT3HVTDUKGhlbAkKmEAAACWIIQ1IbnlUxK5LgzBvA2uhJX9evD4qIQBAABEEyGsCaE5B2piVsKS6n1NmDkdkUoYAABANBHCmpB+mR3kkLT5hxLtPnQ03sNBI2FWshpaCeOaMAAAgOgihDUhbZon6+y0tpKohqFCxXREKmEAAACNASGsiTGnJNKcA6aKxhz1q4QFGnMYVMIAAACiiRDWxNCcA1UFFmtuYCWMxhwAAADRRQhrYvpnllXC1u09qH1Hj8d5NGgMWKwZAACgcSGENTGnpDRXr/ZtJEnLqIZBkqeB0xFZrBkAAMAahLAmKLcrrepRoaGNOVisGQAAwBqEsCaI5hwI1vB1wsoXa6YSBgAAEFWEsCbo0vLmHP8p+kHFx0/EeTSIt4pKGNMRAQAAGgNCWBOU3qqlup/cSoak5TuZkmh3HhpzAAAANCqEsCbqUlrVo1xD1wmjEgYAAGANQlgTRXMOmGjMAQAA0LgQwpoosznHv3bv05ETnjiPBvEUaMzhojEHAABAY0AIa6Ky2rRSl9Yp8voNrSzYG+/hII5ozAEAANC4EMKaMFrVQwpqzOGgMQcAAEBjQAhrwnK70pwDDa+EmdMXqYQBAABEFyGsCTMrYV/u2qvjXm+cR4N4afg1YWWhzeOjEgYAABBNhLAm7LS2rdUxpblKfX59tWtfvIeDOGn4NWHllTCDShgAAEA0EcKaMIfDwZREyONr6GLNZmMOKmEAAADRRAhr4mjOgQYv1uzgmjAAAAArEMKauNwuZZWwLwr2BioisBev0cDFml1UwgAAAKzgjvcAwnXw4EE9/fTTWrRokfbt2yej/IVl27ZtlZubq0mTJqljx44hj7Fq1SpNnjxZa9eu1dGjRyVJLpdLnTt31ujRo3XXXXfJ5XJZ/lhiqdcpbdS2RbJ+OFaqEfM/V2pykhwOhxySnA6HHA7JIYd8hl9evyGv3y+f3yj7t1H2b5fToSSns+zD5ZTb/Lq80YPfMGQYZZ/9hmTIkN8w5JBDTodDTofKP1d87XCUvcA3f47hvsw3DMlnVIzRZxjy+Q35DL/8huRyOORyOuRyOOR2OgP/djkdMsrHZo7VCDq/M2i/ss/OwL99fkMev19ef9n3KPjfbqdDLdxuNXe71MLtUvPyjxZutxwOBbar+tlvGIGfg/kzKPtcdSzl4yi/zVm+T23Mn4HfMORX2ffmX4Vl1wMm1Xs6Ytn2RYePafG3BYHj+srHH/wYgn+25r+Dx2n+vB2Br1X58ZU/Nlf5McznQ/mPR0bQM6RiO0fge+V0OOQsP0/172nZ55qei+bYg89R9jwJGrtU6bkRfH7zcZXtF/5z2RH0PQEAAPaTECHM5/Np0KBBGjJkiJYuXaq2bdsGXsAUFxdr5syZ6tevn1avXq2WLVvWeIxVq1Zp+PDheumllzRo0CAlJydLkvx+vzZv3qxf/OIX2rBhg5577rmYPa5YcDocGpTVSR/8d7s++O/2eA8HcZSSVL//7s3KQ/bXRft15ftLrBiSrSU5nWrmqvgo+9oll9MRCLs+w3yjwS9f+ZsdNYV2R3kIddbw5oO7/E0F880PZ/n+wSG08hsQNb8JELyd+W+HFHgzo+xz5cBcdh7V+MZPcOiVwgvawW9IuIMCvLt8XI6gcO1wBJ2//Ptljsn83kkV3xOXw1nt8bmCArr5JkTFG06GnA6HklzmG1RV36xy1vgmS8UbBTWH8Io3NSSX0xn4uZof5htJtb1pUBvzzTN30Fjd5WN11jIWAIB1HIb59m0jNnfuXL3//vv685//XOs2Dz74oLp166Zx48bVeP8111yje++9V9dee22N9x85ckS9evXSV199VWdFzVRSUqLU1FQVFxerdevWYe0TD4WHjmr2um0q9fkCLyLMF05mRcjtdAZeyAT+Xf61zzDk8fnl8Zd99vr98pR/OFS5EmJWHMw/6ZUqM0HVmWBVqyR1qanKZb7g8QW/eC2vOpkvZM0XRE45KlVMysZZUWELPobfMALnS3I55Q76t8vhkNfv13GvT8e8vvLP3sDXCvq+uh3ln8u/djhU5edQuUpnjsH8fgW+DvHf1Sj/3tRUeWzTvJke63+WOrdOCfO7LO0/elwj5n+uoiPHqr0oNo9rfu/M6mdwtaxsTFVfaJv7VDweX5V/B1fYpMovlg3DkL+G/c2vgwOBVD0cmOMDUFltIbza7xOp0u/64NAaCM1V/hZUrVCXvVlQEaTNvzfm14G/F8F/O8q/NkN3TX+zAm8uBAVeM4QH7+MuD8vmvyUFhdvg3xtlvytqehMh+BxS5d9TkuR0KHAeM6QHnzcclX4Plp83yeVUs0pv4LjK3sQpf9Os6u8889ddtZ9X0M/U7Qx+M6FijFXfKDCPbf7uNX/TmqOs+kaH+cYIYCf1yQYJUQlbs2aNBg4cGHKbwYMHa/78+Q0+RkpKis477zxt3Lgx7BCWKNJbtdT4C3vHexhIMO1aNtfiW6+I9zAsYVR5kRf84kFS4AWWVDmgVw3rpuovQkIzp7V6fH6d8Pt1wufXCZ9PJ3wVU4CrVmTMF7lVp9MaUqUXqeaU4uA3E7x+f2C7iv0rh+bgqb2VpvsGhdyqoTfw+B3Vv3dVXwhWHXPVF63m1+Y2viovwn01jNPrr/IYg8J28ItqM3gHv0AtO1f1Nz4qfTb8FdNZq0yvdpSHhbI3qPyBn2fZ54rveeCcqv7iviZVg0fw98HnN6pV1FTl3zUpe+Fc9kZabW9C+AxDPtYERBB3+e+c4De5GqJqwDePWVPINgxD7iqzBAJBs/zN10r/D1Xx71CcDke1SyrM8BmYkl5DVV4qa1JV02wBp8NR7fei31D598qo9oZx1TePAxVvR+U3O4LHVhbcKwJ8qL9V5u828/sZ/Ds/+DFV/RXgcKjSGxTBn2t7I6VsDHVX9KteamC+sVPb7ACHVOM4zDdoQv2cnQ6HWiUnhXgWND4JEcIKCgrUp0+fkNukp6drx44dtd5fXFysk046KaJjAGgaHOV/FMK5AtQlKYkeRmgi/OWBNTgwBr+xUHUqbG0vlisFRX/QC9Cg22uaqhoces1rZH3B18vKqBZ4nUEvvvzB+xmVr7etaWaB+ULUPIenyrW95mL01V8QVrzYrHqsqlWmqhV/SYGxefyVv9/mWEPH5qrHr/yzK3vTJujNm/LbJFUL5ubjMFT551T1jYeawnlZU6bIg3l9A775psYRT8Snho30bJeq/943LN7DqJeECGE+n6/Ohhlut1terzei89R1jNLSUpWWlga+Likpieh8AADEktPhKK8sNK0mVIhMpapu+Wcz2NVUsXGVT/+s7drOUFV2v2qfOi9JHp9Rfn5fIGya46npjQBzimSoYpivSvAO/Lu8gh4s+DiGUf0yh+Ap9K5AhUaVpu+al0cEv8kQ+Lq8kVhNb2zU/GZBxc+mbEzmdP/K3/fgqmDwVFxzKmqlx1jlZ19TAzGzOVtNsweCf9Y1P59CX3YQPCOg6ps1Vd9cMZuZNUUJEcIai6lTp2ry5MnxHgYAAEDUOB0OJbtdSg5rfgAQWxVTYmufVpmIEnKOzcaNG5Wdna1NmzY1+BjPPPOMhgwZUq99Jk6cqOLi4sDHzp07G3x+AAAAAKGZnWjNKn4zl6vsTYMqH4kmISthPXr00NatWyM6xi9/+ct675OcnBxobQ8AAAAADZEQlbBwrvfyer1yuyPLlNE4BgAAAACEkhAhLCMjQ0VFRSG3KSwsVJcuXWq9v02bNjp8+HBExwAAAACASCVECMvJyVF+fn7IbfLz85WTk9PgYxw5ckSrVq1Sjx49GjxOAAAAAKhLQoSwoUOHqqCgQHl5edq/f3+lhS5LSko0ffp0LVy4UKNHj671GE888YQeeughLVy4sFKbeb/fry1btui2227TjTfe2OQWagYAAADQuCRECHO5XFqyZImOHTum3NxcpaenKy0tTWlpaerbt6/Wrl2r5cuXKyUlRZK0dOlSde/evdI6Xuecc44+/PBDzZgxQ2eccUZg/4yMDP3v//6vrrzySk2bNi1eDxEAAACATTgMoyl02o+PkpISpaamqri4WK1bt473cAAAAADESX2yQUJUwgAAAACgqSCEAQAAAEAMEcIAAAAAIIYIYQAAAAAQQ4QwAAAAAIghQhgAAAAAxBAhDAAAAABiiBAGAAAAADFECAMAAACAGCKEAQAAAEAMEcIAAAAAIIbc8R5AIjMMQ5JUUlIS55EAAAAAiCczE5gZIRRCWAQOHTokScrMzIzzSAAAAAA0BocOHVJqamrIbRxGOFENNfL7/SosLFSrVq3kcDjiOpaSkhJlZmZq586dat26dVzHgsTCcwcNwfMGDcHzBg3FcwcNEevnjWEYOnTokNLT0+V0hr7qi0pYBJxOpzIyMuI9jEpat27NLyc0CM8dNATPGzQEzxs0FM8dNEQsnzd1VcBMNOYAAAAAgBgihAEAAABADBHCmojk5GTl5eUpOTk53kNBguG5g4bgeYOG4HmDhuK5g4ZozM8bGnMAAAAAQAxRCQMAAACAGCKEAQAAAEAMEcIAAAAAIIYIYQAAAAAQQ4SwBHbw4EFNmDBBOTk56tSpk9LS0pSWlqZevXrpvvvu0549e+I9RMTRrFmzdPbZZ1d6bnTq1Em9evXSb37zG3m93krb5+fna/DgwcrKygpsn5mZqUsuuUQffvih6OFjbz6fT9dff70++OCDSrfzvIEpPz9f/fv3V+fOnQPPBfP5MGTIEK1fv77S9ps3b9att96q0047LbBtenq6zj33XD377LMqLS2N0yNBLO3Zs0ejRo1St27dKj1vunXrphEjRmjnzp2Vtue1j70dPnxYV199tV577bVKt69atUpDhgxRdnZ24DnRuXNn9e3bV6+//rp8Pl+1Y8X9d5CBhOT1eo1zzz3XmDRpkrFv3z7D7/cH7jt48KDx29/+1jj11FONI0eOxHGUiJfPPvvM6N27t7Fx48Zq9xUVFRnXXnut8eKLLwZumzdvnpGTk2MsW7bMOHHiROB2j8djrFq1yujfv78xffr0mIwdjdMjjzxiNGvWzHjrrbcCt/G8gWnTpk1G165djX/84x+V/h4ZRtnfqzlz5hinnXaacfz4ccMwDGPnzp1GZmam8e6771b6O+X3+40dO3YYo0aNMm644YaYPgbExxVXXGE8+eSTxrFjxyrd7vF4jDfeeMP40Y9+ZPh8PsMweO1jd8XFxUb//v2Nrl27Gi+88ELg9n/9619Gt27djIULFwZ+xxiGYfh8PmPDhg3GddddZzz88MOVjtUYfgcRwhLUBx98YFx//fUhtxkzZozxm9/8JkYjQmMyYcIE4w9/+EOt92/YsMHo27dv4OvevXsb33zzTa3bFxQUGOnp6YbX643qOJEY5s+fb5x99tnG6NGjK4UwnjcwTZkyxZgyZUrIbS677DJj1apVhmEYxv3331/pjaCqfD6fcdZZZxlff/11VMeJxuXgwYNGly5dqgX3YP369TPWr19vGAavfezs6NGjxgUXXGBMnjzZyMvLqxTCrr76auOjjz6qdd/Dhw8bXbp0MYqKigK3NYbfQUxHTFBr1qzRwIEDQ24zePBgrVmzJkYjQmNy0UUX6fLLL6/1/szMzMAUD4/Ho3379qlPnz61bt+5c2d17NhRu3btivpY0bht3rxZY8eO1dy5c9WiRYvA7TxvEGz79u069dRTQ24zdOhQOZ1lLzvq+hvmdDp12WWX8Tesifv+++/VqVMnORyOWrfJyMgI/L3itY99GYah8ePH6/HHH692X13Pi5SUFJ133nnauHFj2PvE4ncQISxBFRQUqFOnTiG3SU9P144dO2I0IjQmQ4cOVXZ2dq33r127Vt27d5ckFRUV6ZRTTqnzmDyf7OfIkSO64YYb9OKLL1Z7gc3zBsFOnDih5OTkkNuMGTNGZ599tiT+hqFMt27d9MMPP8jv99e6zc6dOwN/z3je2FfLli1100031XhfcXGxTjrppJD7V31eNIbnEiEsQfl8PrlcrpDbuN3uas0XgF27dunee+/Vgw8+KCm855LE88luDMPQ6NGjdfXVV2vIkCHV7ud5g6oOHjyoMWPG6JxzzqnUYKF3794aPXq0CgsLA9vyNwxS2c+4b9++evTRR3XgwIFKjXxKS0v1xz/+Udu3bw+EMJ43aKiqz4vG8FwihAE2YRiGZs6cqbPPPlsjR47UjTfeGO8hoRF76aWXtHv3bj355JPxHgoSxDPPPKMrrrhCK1asUFFRkYqKirR7926tWLFCvXv31v/8z//w4hjV/OpXv9Irr7yitm3bqn379kpLS1PHjh3VsmVLjRo1Sh988EFgGivQlPCsbiI2btyo7Oxsbdq0Kd5DQSO0adMmXXHFFZoxY4Y+/vhjjR07NuT2999/v+6///4YjQ6NzYoVK/T888/r/fffl9vtDns/njf2dvPNN+vaa69Vy5YtA7c5HA61adNGY8eOVUZGhj7//PMa9501a5bOOeecWA0VjcTevXs1ZMgQvfbaazp8+LD279+voqIi7dmzRyUlJfrjH/+oZ555RidOnKhxf177oCbPPPNMjTM4QonH76Dw/7qiUevRo4e2bt0a72GgkfH5fJoyZYpef/11PfHEE7rjjjvCekfx97//fQxGh8aoqKhIt956q9577z117NixXvvyvLG3nj17hrz/zDPP1LfffqvLLrus2n233XabbrvtNquGhkZq9uzZuu666zR8+PBq96WkpGj48OH68ssv9cEHH2jEiBHVtuG1D2ryy1/+st77xON3ECEsQYUzT9Xr9dbrXWw0LYcPH9att94qt9ut1atXq02bNjVuF+6cZ55PTZ/X69XNN9+scePGqV+/fiG35XmDqoK7Z9akZcuWOnLkiCT+hqHMhg0bdOGFF4bcJicnR//85z81YsQInjdosKrPi8bwXOJZmqAyMjJUVFQUcpvCwkJ16dIlRiNCY/Ozn/1MGRkZ+v3vfx+y/W9aWpr27dtX5/F4PjV9K1as0KpVq7RhwwY988wz1e4vLi5Ws2bNNHfuXM2fP5/nDQJSUlJ0/PjxkNscO3ZM6enpkir+hrVv377W7QsLCwPdFNE0hfMC1+FwBF4s89oHNWnTpo0OHz4cskNi1edFY/gdxDVhCSonJ0f5+fkht8nPz1dOTk6MRoTGZPPmzVq8eLGef/75kAFMKvsjeMopp+g///lPrdsUFhZqz5496ty5c5RHisYkNzdXhw8f1p49ewKNFYI/br75Zr399tv661//yvMGlWRnZ2vz5s0ht/nvf/8b6HJX198wv9+vzz77jL9hTVx2drbWr18fcpv169erW7duknjtg5rV9bw4cuSIVq1apR49eoS9T0x+B1m2DDQs5fV6jfPPP994/PHHjX379lVabb64uNh48cUXjVNPPdU4fPhwHEeJeJkzZ44xcuTIsLdfsGCBceaZZxrLli0zTpw4Ebjd6/Ua//73v43+/fuHXFke9nDnnXca8+bNC3zN8wamwsJCo1u3bsZnn31m+Hy+SvedOHHCePPNN42ePXsax48fNwzDMAoKCozMzExj1qxZxpEjRwLb+v1+o6CgwBg1apRx/fXXx/QxIPb27t1rdO3a1Vi8eLHh9Xor3ef1eo1FixYZnTt3NgoLCwO38doHeXl5xgsvvBD4+uuvvzaysrKMv/71r4HfMYZhGD6fz9i8ebMxdOhQY/z48ZWO0Rh+BzEdMUG5XC4tWbJEU6ZMUW5urvbv3x9YX6NNmzbKzc3V8uXLlZKSEueRIh7279+vDz74QIsWLap1m6SkJH355ZdKT0/XkCFDdNJJJ2nSpEnavHmzSktLA9t07dpV48aN0/XXXx+r4aORSk1NrTTdg+cNTJ06ddIHH3ygRx55RLfffrs8Hk/gvuTkZF100UVauHBhYEHnzp0769NPP9Vjjz2mSZMm6dChQ5LKpp517NhRt9xyi1588cW4PBbETvv27bVgwQL98pe/1E9+8pNKzxu3263evXtr3rx5gUV1ee0DSWrdurVatWoV+Pqcc87Rhx9+qLy8PI0ZM0ZHjx6VJDmdTnXu3FmjRo3SPffcU+kYjeF3kMMwglbGAwAAAABYimvCAAAAACCGCGEAAAAAEEOEMAAAAACIIUIYAAAAAMQQIQwAAAAAYogQBgAAAAAxRAgDAAAAgBgihAEAAABADBHCAACwkePHj8vj8cR7GJY5fPiwDMOI9zAAICRCGAAkkLfeeksOhyOsj3feeSfew0Uj4ff7NW3aNJ1++ulKSUnRQw89FLjvrbfeUvfu3bVv3756HbOgoEBdunTRokWLqt33xBNP6J577gn7WIZhqGfPnvr000/rNYaqjhw5opNPPllt2rTRoEGDtGHDhoiOBwBWccd7AACA8H333XdKTU3VU089FXI7h8Ohyy67LEajQmM3atQovf3227r33nv1y1/+Uj/+8Y8D93333Xf69ttvNWHCBL355pthH3PMmDHauXOndu3aVe2+rVu3asuWLWEfy+fzaePGjdqxY0fY+9QkJSVFn3zyiVatWqV3331X559/vlauXKmcnJyIjgsA0UYIA4AEc9JJJ+mBBx6I9zCQIL799lu99dZbmj9/voYMGVLrdm+99ZbuvPNO5ebm1nnMjz76SPPnz4/iKKNn4MCBGjhwoB544AFddtlleu655/T222/He1gAUAnTEQEAaMLef/999ezZU9dee22t23Tq1En9+/fXvffeq9LS0pDHO3z4sB544IGQx2sMmjdvroceekizZ8+Wz+eL93AAoBJCGAAATdjOnTt1/vnny+Fw1LqN0+nUjBkztHXrVj377LMhjzdp0iT98MMPeumll6I91Kg777zzdOLECe3duzfeQwGASghhAGADp512mhYsWCBJ+vjjj3XdddcpIyNDqamp+v777yttu3r1ag0bNkynnXaakpKSAo0+MjMzNWjQIP3tb38Lea7//Oc/Gjp0qLp3766kpCQ5nU61b99e/fr10+9+9zt5PB4NHDhQr776arV9u3fvrsWLF9f5eAYOHKjXXnutxvsOHz6siRMn6txzz1Xr1q0D409NTdX555+vxx57TMeOHatx3zfffFOXXnqpDMPQrFmzNHjwYHXo0EFOp1MtW7ZUTk6O/t//+3/VvmfB/H6/Xn/9dV188cVKS0sLnD8pKUmZmZm6+eabtXr16mr75eXl6fbbb6/zsYe7namwsFCnnHJKndv16tVLv/jFLzRlyhRt2rSpxm2++eYb/fa3v9VTTz2lLl26hD2Ghjpx4oR+/vOfq0uXLnK5XLU2oZkwYUKN+5uPu7Cw0PKxAkB9cE0YANjAli1btHPnTv3iF7/Qr3/9a11xxRUaPny4evfurXbt2gW2y8/P149//GNlZ2fruuuuU+fOnZWUlCS/3689e/boiy++0NVXX61nn322xhe+n3zyia688kr16NFDw4YNU3p6upxOp/bt26ctW7boV7/6lT766CNt2rSpxiYM3377rQoKCup8PNu2bdN3331X7fbS0lKdf/752r59u2699VYNHz5crVq1kiQdOnRIW7Zs0XPPPacFCxZo1apVSkpKqrT/jh07tGXLFt1+++368MMPde2112r06NE65ZRTdOLECX333Xd6//33NXfuXK1fv14dOnSoNoa7775bb7/9toYNG6YrrrhC7dq1k8Ph0LFjx7Rx40YtXbpUAwYM0DfffKPMzMzAft999522bdtW52MPdzvToUOHdNJJJ4W17SOPPKLZs2frvvvu05IlSypVz/x+v+69916dddZZMbsmcfLkyfrd736nW2+9VX369FGzZs0q3T9//nzl5+erX79+Ne5v/uxLSkosHysA1AchDABsYv78+dqzZ4/+85//qE+fPjVuM378eF1wwQX69NNPlZycXO1+wzA0ceJEPfnkkxo5cmSlEGIYhh5++GENHDhQixcvlttd/U/M0aNHNWLECMsqEy+//LI2b96sr7/+WmeddVaN24wbN05nnXWWXn/9dd13333V7t+9e7cKCgpUWFioNm3aVLt/0qRJOuOMM/TEE09Um5K3atUqvf3225o5c6buvPPOGs9fUlKiLl266E9/+pMefvjh+j/IBgg1FTFYixYt9Morr+jyyy/XrFmzKlXcZsyYoX/+85/66quvavzZWuHDDz/U/fffrxdeeKHaff/+97/185//XA8++KCuu+66GvcP93EDQKwRwgAgwXi93lqrRWlpabW+QF6xYoW+/vprnXHGGTXef+DAAa1evVpz5sypMYBJZS9qf/azn+nZZ5/VypUrK734PXDggNauXaspU6bUOoaWLVvqjTfeCEyNjLalS5fqxz/+ca0BTJLOPPNMXXnllfrkk09qDGFSWafAmgKYJLVv31533nlnjdMmP//8c7Vr1y7kdMHWrVvr1VdfrVQFa0wGDx6s2267TePHj9dVV12ldu3aaffu3Zo4caLGjh2r8847L6zjlJaWhlXVlMqe0zWZOHGiLr300mq3//DDD7r++ut17rnn6te//nVY5wCAxoQQBgAJZs+ePbW+gL/33nv1hz/8ocb7Lr300loDmCRt375dkpSdnR3y/O3bt1erVq0C21fdv65rhdq2bWtZANm+fbsuueSSOrfLzs7WsmXLarwvLS1N3bp1C7l/165dtW3bNhmGUanasm3bNmVkZMjpDH3J9U033VTnGOPp+eef18KFCzVhwgS98cYbGjdunFq3bq0nnngi7GP861//ivjnfMcdd1S7ze/367bbbtPRo0f1pz/9qdoURQBIBIQwAEgwbdu2rXXdo7PPPrvW/Xr37h3yuMXFxZKkY8eO1VnBaN26dbWOc+Z1N+Fcf2TVNLHi4mI5nc46x+9yuWrtmOdyueo8T6tWrXT06FH5fL5KVb+SkpKwr79qzDp06KBp06Zp1KhRSk9P15w5c/TRRx/V67GdccYZmjZtWljb+nw+DR06NKxtn3zySX3yySdasmSJOnfuHPZ4AKAxIYQBQIJp0aKFrrnmmnrv17p167C2q2n6V02aN29e7zHEwvTp0zV9+vQ6tzv11FNjMJrEZTYYeeqpp3TDDTfUe12wtm3bhv08rW06YlWLFi3S5MmTNW3aNA0YMKBe4wGAxoQQBgCoZMaMGUpPTw+5jcPhqLUjXbzddNNNYbVwr2vKod05nU69/fbb+vWvf61JkybFezjaunWrRowYoWHDhsWsoQkAWIUQBgCQVNHO++KLL9aZZ55Z7/1TU1Mlla3TFckYwtm/tspJq1atlJmZ2aBKYTS0bt26wY+/ZcuWta5fFuzAgQMNOn5DZGdn65VXXonZ+Wpz7Ngx3XDDDerQoYPeeustuh4CSHgs1gwAkFRRGdq5c2fI7QzD0KWXXqr33nuv0u1ZWVmSVOP6X+HKysqqc/9t27Zp165dNd7XrVu3OscvSa+88oolQa1bt27asWOH/H5/yO3mzp2rr776qtJtWVlZKigokGEYte7n8Xi0atWqqIw1URiGoZ/+9KfavHmzPvzwwxqn1S5btkzLly+Pw+gAoGEIYQAASdLJJ5+s3r176+WXXw4ZIv7+979r2bJl1aYstmnTRjk5OZo+fXrY1/hUlZubq3feeUf79u2r8f7i4mLdc889te5/6aWX6i9/+Uu1zo3Bjh49qunTp6t9+/YNGmMol156qQ4cOFBr4xSprHnHT37yk2rdGS+66CJ9//33+vDDD2vc7/jx4xozZkytAbSpevXVVzVz5ky9/vrr6tWrV7X7zZA2e/bsOIwOABqG6YgAAEll13m98MIL+p//+R+dc845uuqqq9SxY0e53W4ZhqHDhw9rw4YNmjt3ri699NJq14Q5HA795je/CazTdc011ygtLU1JSUnVzmV2Uqzqscce0/vvv6+ePXvq1ltvVWZmppo1a6b9+/dr8+bN+stf/qIhQ4bU2vr8gQce0Kuvvqo+ffpoxIgR6tq1a6CjX2lpqYqKirRgwQIVFhZq1qxZEX7HqjvvvPN011136e6779Zf/vIXnX322Tr55JPlcDh07Ngxbdq0SUuXLpXD4dDw4cMr7XvJJZdo6NChuummm3TzzTerV69eSk1N1YEDB7Rz50599NFHSk5OVm5ubr1CrtvtlsfjifZDjYl169bpwQcfVI8ePbRv375qi2OXlJTo008/1bp16/Tyyy9X29983LFaXBoAwsVvJQBIIF26dAlM+6uPU089VV27dq1zu8svv1yrVq1SXl6e/vSnP+m7776Tz+eTVFYpy8zM1COPPKIxY8bUGK4GDx6sr7/+Wnl5eZo7d26l/cPRoUMHrV+/Xo8//rg+/fRTbd26VcePH1fbtm111lln6ZVXXtFtt92mgQMH1vh4mjdvrlWrVumpp57Sxx9/rHfffVeHDh0K3NepUyf169dPDz/8cI3t/DMzM+tcJ02S0tPT1a1btxrXA3v99dd18cUX680339Tvf/97ff/995LKWt937NhR/fr106OPPlrjemp/+tOfNH36dL3//vv6+OOP9cMPPyg9PV09e/bUPffco/Hjx+tnP/uZtmzZUucYTWlpabW245fKnlMN7RR56qmnKiMjo9rtWVlZ9Qp+TqdTWVlZ1cL1v/71L504cUIbN27UmDFjqu3XrFkznXbaaXr33XdrXB/O/N536tQp7LEAQCw4jFCTzwEAsEBWVpZuu+02PfXUU/EeSsIZOXKktmzZEvY1UL/4xS/0r3/9S/n5+RaPrPH5/PPPlZubq6NHj6pFixbxHg4ABHBNGAAAjcC0adN077331rmdz+cLa0Fp0+DBg/XZZ59p48aNkQwvIb366qu66KKLCGAAGh2mIwIA0AgcPHhQixcvlt/vr3Gao2n79u31mpI6ePBgnX/++crNzdXTTz+ts846Szk5OWrWrFkURt347N69W+vWrdOsWbP07rvvasGCBfEeEgBUQwgDAKARuPLKKzV16lRdf/31uuSSS5ScnFzpfo/Ho//85z9avny5xo8fH/ZxHQ6H/va3v2nUqFGBzpL33XdfjY0sEt2RI0eUmZkpn8+n1NRUvffeexoyZEi8hwUA1RDCAAAx16VLl7AahdjJJZdcorffflvTpk3Txx9/rOPHj1e6v1mzZurWrZteeuklDR06tF7Hbt++vebNm6fi4mJt2LChxmYaTUFKSoqWL1+udu3aKTs7u17TNgEglmjMAQAAAAAxRGMOAAAAAIghQhgAAAAAxBAhDAAAAABiiBAGAAAAADFECAMAAACAGCKEAQAAAEAMEcIAAAAAIIYIYQAAAAAQQ4QwAAAAAIih/w8p4xREOE9LWAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the FFT\n",
    "fig, bx = plt.subplots(1, 1)\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": "1f80cf56",
   "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": 22,
   "id": "8f27e69f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:20.095415Z",
     "iopub.status.busy": "2024-10-17T13:12:20.095243Z",
     "iopub.status.idle": "2024-10-17T13:12:20.099204Z",
     "shell.execute_reply": "2024-10-17T13:12:20.098666Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integration results:\n",
      "I = 0.46939130434782605\n",
      "Q = -0.25690864680019543\n",
      "R = sqrt(I^2 + Q^2) = 0.5350983548825964\n"
     ]
    }
   ],
   "source": [
    "bins = acq[\"scope\"][\"acquisition\"][\"bins\"]\n",
    "I_data = bins[\"integration\"][\"path0\"][0] / waveform_len\n",
    "Q_data = bins[\"integration\"][\"path1\"][0] / waveform_len\n",
    "print(\"Integration results:\")\n",
    "print(f\"I = {I_data}\")\n",
    "print(f\"Q = {Q_data}\")\n",
    "print(f\"R = sqrt(I^2 + Q^2) = {math.sqrt(I_data**2 + Q_data**2)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0e3e507",
   "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": 23,
   "id": "7285c4d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:20.100865Z",
     "iopub.status.busy": "2024-10-17T13:12:20.100702Z",
     "iopub.status.idle": "2024-10-17T13:12:20.762006Z",
     "shell.execute_reply": "2024-10-17T13:12:20.758643Z"
    }
   },
   "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": 24,
   "id": "fb876af6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:20.771528Z",
     "iopub.status.busy": "2024-10-17T13:12:20.770589Z",
     "iopub.status.idle": "2024-10-17T13:12:20.846941Z",
     "shell.execute_reply": "2024-10-17T13:12:20.843505Z"
    }
   },
   "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_status(seq)\n",
    "\n",
    "# Get acquisition data\n",
    "readout_module.store_scope_acquisition(0, \"scope\")\n",
    "acq = readout_module.get_acquisitions(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70aaeaeb",
   "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": 25,
   "id": "622f2868",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:20.856143Z",
     "iopub.status.busy": "2024-10-17T13:12:20.855207Z",
     "iopub.status.idle": "2024-10-17T13:12:20.963658Z",
     "shell.execute_reply": "2024-10-17T13:12:20.963085Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the FFT\n",
    "fig, bx = plt.subplots(1, 1)\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": "a8994639",
   "metadata": {},
   "source": [
    "Now let's check if the hardware demodulated and integrated results match our expectations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8eb0e5f5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:20.966818Z",
     "iopub.status.busy": "2024-10-17T13:12:20.966628Z",
     "iopub.status.idle": "2024-10-17T13:12:21.042454Z",
     "shell.execute_reply": "2024-10-17T13:12:21.041586Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequencer 0\n",
      "Integration results:\n",
      "I = 0.23463654127992184\n",
      "Q = -0.1276541279921837\n",
      "R = sqrt(I^2 + Q^2) = 0.2671139885839925\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 1\n",
      "Integration results:\n",
      "I = -0.09512017586712261\n",
      "Q = 0.09195163654127993\n",
      "R = sqrt(I^2 + Q^2) = 0.1322987200225761\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 2\n",
      "Integration results:\n",
      "I = 0.03895017098192477\n",
      "Q = -0.054549096238397654\n",
      "R = sqrt(I^2 + Q^2) = 0.06702775335595804\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_data = bins[\"integration\"][\"path0\"][0] / waveform_len\n",
    "    Q_data = bins[\"integration\"][\"path1\"][0] / waveform_len\n",
    "    print(f\"Sequencer {seq}\")\n",
    "    print(\"Integration results:\")\n",
    "    print(f\"I = {I_data}\")\n",
    "    print(f\"Q = {Q_data}\")\n",
    "    print(f\"R = sqrt(I^2 + Q^2) = {math.sqrt(I_data**2 + Q_data**2)}\")\n",
    "    print(\"---------------------------------------------------------------------------------\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddacd09b",
   "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": 27,
   "id": "3dbf6c23",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:21.045431Z",
     "iopub.status.busy": "2024-10-17T13:12:21.045182Z",
     "iopub.status.idle": "2024-10-17T13:12:22.382617Z",
     "shell.execute_reply": "2024-10-17T13:12:22.379303Z"
    }
   },
   "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": 28,
   "id": "60ded70e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:22.391501Z",
     "iopub.status.busy": "2024-10-17T13:12:22.390593Z",
     "iopub.status.idle": "2024-10-17T13:12:22.489351Z",
     "shell.execute_reply": "2024-10-17T13:12:22.485959Z"
    }
   },
   "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_status(seq)\n",
    "\n",
    "# Get acquisition data\n",
    "readout_module.store_scope_acquisition(0, \"scope\")\n",
    "acq = readout_module.get_acquisitions(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18093c97",
   "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": 29,
   "id": "0a69aa0f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:22.498438Z",
     "iopub.status.busy": "2024-10-17T13:12:22.497578Z",
     "iopub.status.idle": "2024-10-17T13:12:22.649858Z",
     "shell.execute_reply": "2024-10-17T13:12:22.649233Z"
    },
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the FFT\n",
    "fig, bx = plt.subplots(1, 1)\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": "82483d17",
   "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": 30,
   "id": "d3c49c64",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:22.651747Z",
     "iopub.status.busy": "2024-10-17T13:12:22.651563Z",
     "iopub.status.idle": "2024-10-17T13:12:22.823226Z",
     "shell.execute_reply": "2024-10-17T13:12:22.820079Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequencer 0\n",
      "Integration results:\n",
      "I = 0.07079531021006351\n",
      "Q = -0.03832388861748901\n",
      "R = sqrt(I^2 + Q^2) = 0.08050277253924132\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 1\n",
      "Integration results:\n",
      "I = -0.058531021006350756\n",
      "Q = 0.05457254518808012\n",
      "R = sqrt(I^2 + Q^2) = 0.08002526543755366\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 2\n",
      "Integration results:\n",
      "I = 0.04381631656082072\n",
      "Q = -0.06695945285784075\n",
      "R = sqrt(I^2 + Q^2) = 0.08002148414006983\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 3\n",
      "Integration results:\n",
      "I = -0.02528969223253542\n",
      "Q = 0.07496922325354177\n",
      "R = sqrt(I^2 + Q^2) = 0.07911986456292598\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 4\n",
      "Integration results:\n",
      "I = 0.006816805080605765\n",
      "Q = -0.07741279921836836\n",
      "R = sqrt(I^2 + Q^2) = 0.07771235625259593\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 5\n",
      "Integration results:\n",
      "I = 0.012413776257938446\n",
      "Q = 0.07565754763067904\n",
      "R = sqrt(I^2 + Q^2) = 0.0766692008206074\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_data = bins[\"integration\"][\"path0\"][0] / waveform_len\n",
    "    Q_data = bins[\"integration\"][\"path1\"][0] / waveform_len\n",
    "    print(f\"Sequencer {seq}\")\n",
    "    print(\"Integration results:\")\n",
    "    print(f\"I = {I_data}\")\n",
    "    print(f\"Q = {Q_data}\")\n",
    "    print(f\"R = sqrt(I^2 + Q^2) = {math.sqrt(I_data**2 + Q_data**2)}\")\n",
    "    print(\"---------------------------------------------------------------------------------\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82d53253",
   "metadata": {},
   "source": [
    "Taking the power loss over frequency into account, the amplitudes of the IQ vectors match our expectations again."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fedfcd96",
   "metadata": {},
   "source": [
    "\n",
    "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",
    "*Note that before we make these new connections between the sequencers and the physical inputs and outputs* ($\\text{O}^{[1-2]}$ and $\\text{I}^{[1-2]}$), *we must first erase the exisiting connections using the API, namely* `disconnect_outputs()` and `disconnect_inputs()`.\n",
    "\n",
    "Lets create a Q1ASM program to sequence the waveforms for sequencer 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "72be7e89",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:22.832468Z",
     "iopub.status.busy": "2024-10-17T13:12:22.831541Z",
     "iopub.status.idle": "2024-10-17T13:12:25.297006Z",
     "shell.execute_reply": "2024-10-17T13:12:25.296254Z"
    }
   },
   "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": "a9d4d9bf",
   "metadata": {},
   "source": [
    "Lets create a Q1ASM program to sequence the waveforms for sequencer 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b6c54e3a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:25.299248Z",
     "iopub.status.busy": "2024-10-17T13:12:25.299075Z",
     "iopub.status.idle": "2024-10-17T13:12:25.310891Z",
     "shell.execute_reply": "2024-10-17T13:12:25.310343Z"
    }
   },
   "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": "a115807c",
   "metadata": {},
   "source": [
    "Let's configure both sequencers and connect them to their respective outputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "8dd9ab09",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:25.312841Z",
     "iopub.status.busy": "2024-10-17T13:12:25.312676Z",
     "iopub.status.idle": "2024-10-17T13:12:25.666350Z",
     "shell.execute_reply": "2024-10-17T13:12:25.663429Z"
    }
   },
   "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.sequencer1.connect_out1(\"I\")\n",
    "\n",
    "readout_module.sequencer0.connect_acq_I(\"in0\")\n",
    "readout_module.sequencer0.connect_acq_Q(\"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",
    "    readout_module.sequencers[seq].demod_en_acq(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_path1(\n",
    "    0.0\n",
    ")  # Disable sequencer 1 path 1, because we will not use it."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "449254c9",
   "metadata": {},
   "source": [
    "Now, let start the sequencers and visualize the resulting sequence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "2751d235",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:25.674155Z",
     "iopub.status.busy": "2024-10-17T13:12:25.673428Z",
     "iopub.status.idle": "2024-10-17T13:12:25.859200Z",
     "shell.execute_reply": "2024-10-17T13:12:25.858576Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jrcZ9PluHgC1VLU/WALCtP5FrMGGjNkdvNGHUd38CMP+qeXVs6+kM2RxvlQpLbzBvbvr9kTPIqeK+bERErd27O49iyDcrLL+zmtQ9dSumd060+Txi5ino7h0DKee01bjf4pNQDbqimXddmsS2/kQuwYSN2px15yzUXn/rla127drfDW4XgWh/HwBAwocL+cSTiKiV0hqM+PN0Lp5Yu9cyJgB4qH8XfDFlmM17q5lSD0P7wATUXdsFYvrxsy8EBMN/tx6KpM72BapgW38iV+AaNmpz3tp+BADQMzIEY5JiZI7GcQRBwKMDu+I/G/YDAB5etRMfTxoqc1RERNQSPx5Nx6wlm88b/+36sbi2Swtm1YrzoL2p93njfiuzIIRFQVB72RWnGdewEbkCZ9ioTTlaXIFN2UVQKQRLCaEneeqc9Xg/HcuQMRIiImqJcp0eSR8uPC9Zy3jkOojP3tGyZK0gG3VXxlmNaea8jYADEhQxCRC8bO8oeVHsEknkEkzYqE1ZcPQMAGBKhzgkhwTIHI3jKQQBm2+fBACorG/AytO5MkdEREQXI0kSXth0AGHv/oSsc9Yfh/locPT+aUgKDmhR6b5xzwZobxtk+VyR1BkBByR43f6EQ+MGcE7Cxhk2ImdiSSS1GUW1Onx5IA0AMKtHe5mjcZ6RCVG4q3dHfH0oDQ+u3IH0R66DUsFnM0RE7mZrdhFG/q2hyLWdE/DsiF7oFRkKtdL2n92mY3uge/ZWSFmpljHlyCnweXexw+I9j8A1bESuwLs4ajPmrNmNMp0e3SOCMbVTvNzhONWHVw2Gt0qJ7Oo6HCwqlzscIiL6m9SyqvOStVk9UvDb9WPRPybc5mRNqq5Aw3fvQHvvWEuyphx2Ffy31cD3g+WX2a7fRtyHjcglmLBRm6A3mvDr8UwAwDfXjIBGpZQ3ICfzVavQJSwIAHDT75tkjoaIiM6VWlaFQV8vtxp7YVQfLJg+qkXlj2JuOmpHh0L/3r8Bnbmc0vuNn+H7vz8h+Po7NOYL4ho2IpdgSSS1Cf9cswemxl8oA2LCZI7GNUbER+JgUTnOVNRAZzDCx8Y20ERE5BzlOj36f/kHMqtqAZjXHe++awr6x4S36DySJEE8vhe6RyZZxhQ9h8Dn3d+hiHBd9+OmfdjAhI3IqTjDRh6vwWTCx/tOAgAi/bw9Zt+1S/ngysFIDPIDACw+lS1zNEREbVtedR2uWLDKkqwBwHMjerU4WTMd34fafgpobx0EqbIMAKDoMQh+3+1wabIGAELTGjbR5NLrErU1TNjI480/dNry55Uzx8sYiWsJgoBbuqcAAGYt2Qwj1xgQEblcalkVBnz1B+I+WIhDRRWW8cU3jMVzI8/fJ+1iDGsWQjtrgOVzRY9B8FuRCb/vdzks3hZpev7JCTYip2KNFHm8pv3I3riif4ufZLZ20zsn4PXGjcI3ZBZiQkqszBEREbUdZ8qrMeSbFaiob7CM7bxzCjqFBiLEx/a90EynDkH37+sg5ZyxjHm/OB+qSbc4t6nIpVi6RPKBIJEzcYaNPFp+jRabsgoBADO7JcscjesNaheBYXGRAIAlLIskInKZe5ZvQ4ePf7ckax1CArBy5ngMbhdhc7ImVZXD8Ncv0M7sY52s/Xcx1FPvkDdZA9h0hMhFOMNGHkuSJNzw20ZIAIbFRSIx2AUds9zQv4Z0x/ZFxfhs/yk8NawHEoLa5t8DEZErmEQR439YjY2NDwuDvb2wcuZ4DG18eGYr4/4t0N096rxx7xfnQz12uiNCtV/jDBvb+hM5F2fYyGMdKirH9txiAMCjA7vKHI18pnaKR+ewQJgkCb80bm1ARESOZTCJWH0mD35vLrAkawCwY/Zku5M1Rfvu0PznE/hvroB66h0Oi9luljVsnGEjciYmbOSxfmxcu+ajUuLGbknyBiMjlUKBxwZ1AwD8fjJL5miIiDxPg8mEqb+uw5U/rYHeZJ5tmtopHg3P3I4u4cE2n0fMPIX6F+6G7vGpljEhoSO831oIrxsegBBg+7lcQtG0ho0JG5EzsSSSPJIoSfjmUBoA4OUxfdtMK//mTO+UgIf/3ImdeSU4U16N9qGBcodEROQRTpZWouunS6zGPrxyMB4e0KVFv3t0/74BxrWLLJ8LoZHw++04hGA33ju0qSSSTUeInIozbOSRDhSWoVSrh49KiUcHdpM7HNnFBPhibJJ5f57nNx2UNxgiIg/x87F0q2Ttm2uGQ/f0rXhkYFebkzXj9r9Q01ewStYgCO6frAFnm45wDRuRUzFhI4907cINAIDxybFQK/ltDpi3NQCA305mQm/kJqdERJdrb34prl+0ATcv3mwZ23PX1ZjduyO8VbYVL0mSBMMf30H38FVW477f7YT/pgr3T9Zwdgkb17ARORfvZMnjVNbrkVtdBwC4pUfba+XfnAExYYjw9YbeJGLBkTOXfgMREZ3nk30nMfDr5fjtnDXBn00eigGxtu/zKem00L94D+qfP9tARHX17fBbVwxlz8EQAoIcGrOzSFzDRuQSTNjI46xJL4AEoH1IAGZ2T5E7HLchCAJu6JoEAHhrx1H+giUiagFJkvDLsQw89OdOy9idvTvA+J/bcV+/zrado6YSxh2rUTsmFIalX1vGvV9dAJ+Xv4UiNMLhcTtVY0mkwN8nRE7FpiPkcb49fBoALMkJnfX6Ff3w3ZHTSC2vxubsIoxOjJY7JCIit2YwiXhl6yH8d9cx1DYYLePpD1+HpGB/m9aqSQYDGr5/Fw0fPmM17vXAi9Dc/7zDY3YdJmxErsCEjTxKQY0Wq87kAQBm9+4gczTuJ1DjhWs7J+L7I2ewJj2fCRsR0UUU1+kwY+EGbGvc0xMwz6r938TBCNCobT5P3Q09IGWlWo2pb3+ilSdrsMywAUzYiJyJJZHkUd7ddQwmScLQuAh0DmsdawBcbVRCFABgVXqezJEQEbmvLdlFiHrvF0uyNjYxGvvuvgZfXzPC5mRNMhhQ0195XrKm6DkYmrueaeZdrYdkaevPhI3ImTjDRh6jXKfH+7uOAwAe7NdF5mjc19RO8XjoTwX2FZThQGEZ+ka7fycyIiJXKajRovtnS1BR32AZGxgbjtWzJkKlsP05t1RTCd3TM4FzWt6rb3wImodehhAU6tCYZWNZw8a2/kTOxBk28hjrMwtgkiQkBvnh1p5sNtKcSD8fXNslAQDwxYHUSxxNRNQ2SJKE93cdQ+z//WqVrN3aIwW777q6Rcma6dge1I4KgWn7X5Yxr3+8Ds1TH3pOsgacLYnkDBuRU3GGjTzGn6fNJX7TOyfYvGFpW3V/38749XgmFhxJx1vjBsDfy/a1GEREnkRnMOLDPSfw1Pp9VuMj4iPx+/VXIMLP2+ZzGbetQv0r90EqzDk7qPGG35JUKKLjHRWy+2gsiRS4ho3IqZiwkUfYlVeCrw+lAQCmdkyQORr3NyYpGh1CAnC6oga/HMvA3X07yR0SEZFLmUQRdyzbih+Opp/32tvjBuCJoT1sPpckSTD+8R3qX70faNBbxr3f/AXqiTc6JF53JHGGjcglWBJJHmHhiUwAwNC4CIxNYufDS1EIgmXfoM9YFklEbdCDf+68YLK28LoxeHxwN5vPIzXoobt3LOrnzTYnawHB8H7xG/hvrvToZO1cbOtP5FxM2MgjbM0pAgDc26cTyyFtdEev9lArFNiTX4oDhWVyh0NE5DJLTmWdt4bX30uF4jkzcX3XJJvWq0mSBP1nL6F2sDdM+zYBAFSTZ8F/RQbUU2dDCGgDnYo5w0bkEkzYqNXLqarDrrxSKAQBE1Ni5Q6n1Yj088GMxuYjn+/nLBsRtQ0R//0J1y7cYDX2xhX9cfjeaS1ar9bw1Wto+HSe5XMhOh7eL38HISDYUaG6P0tiy4SNyJm4ho1ave2Ne+T0iAhGu0A/maNpXe7t2wm/HM/EopOZ+HjSEM5OEpHHemv7Eby+/Qgqz+kACQCmZ++AogU/+0yph9HwyfMwblxqGfN+61coOvSE0IJOkp6hqa0/EzYiZ2LCRq3e//aeBAD0ifKgVskuMjw+EgpBQKlWj4JaHWIDfOUOiYjIoUyiiPtX7sBXB9OsxvtEheKLKcNalKwZd62D7oHxVmM+7y2FasxUh8Ta2rDpCJFrMGGjVi2/RottjTNsjw2yfZE4mXmrVOgaHoRjJZX48Wh6i7qiERG5u/SKGrT/329WYyPjo/D6Ff0wPD7K5vOYUg+j/pmbIaYft4x5/3cxlN0HQRHZhkvxm9r6M2Ejcqq2NndPHubtHUchShIGxIShX0yY3OG0Sv8c3B0A8OKWgyis1cocDRGRY+wrKD0vWdt919XYfMckm5M1sbQQ9e/+C9qbeluSNSGxE3y/3QH12OltO1kDLE1HmLARORcTNmrVlpzKBgA8O6KXzJG0XrN7d0D/mDDUNhix6ESW3OEQEdntibV7MOCr5ZbPnxnWE3VP3YqBseE2n8Ow/HvUTYiBYcF/LWO+C/bAf8kpKHsNcWi8rZalmlSUMwoij8eSSGq1MitrkFlVC5VCwITkNv6U0w4KQcD1XRKxr6AMazLy8cjArnKHRETUYiZRxNW/rMOqM3mWsRh/H/x58wT0bsEaZzErDcZNS6F/799W497zvoKy+wCHxesZmkoiZQ6DyMMxYaNWa1OWee+1ATHh8PNSyxxN6zYhJRbPbNiPDZmFqNEbEKDh3ycRtS4Pr9pplawBwNpZV6JbRLDN5zBuWQHdv2YABnMnSSE8Br7fbocQEgHBh12I/87SdIRt/YmcyqNLIisrK/Hkk0+iZ8+eiImJQXR0NKKjo9GtWzc8+OCDKCoquqzzHj9+HB07dnRwtNRSi0+Zy/dGJ9q+cJwurG90GDqGBqKmwYCfjqXLHQ4Rkc225RThtiWb8dk5+0n+Z3gvSHNntyhZ03/1GnSPXm1J1pTDJ8Fv8UkoYpOYrDXHsoaNJZFEzuSxCZvJZMK4cePg5+eHjRs3Ij8/H4WFhSgsLMSOHTvQpUsXDB8+HFpty5osVFdX44YbbkB6Om9q5XS6vBrLUnMAAHf06iBzNK2fQhBwW8/2AICljX+vRETu7o/UHIz49k8sOHr2d/J7Ewbi1bH9bD6HZDJB/8k8NHz0LABAkdINfuuK4fvRSgj+gQ6P2aOwrT+RS3hswrZ48WIkJSVh3rx5CAsLs9oQOCgoCI899hgmT56Mzz77zOZzSpKEO++8E7fddhsCAgKcETbZaG1GPiQAYxKj0TU8WO5wPMINXRMhAFh5OhcFNewWSUTuqVrfgNe2Hkanj3/H1F/XAQD6RYfh00lDUfPkLDze2PnWFsZd61A3KQENn78EAFD0HgbfH/ZCERrhlNg9jiVhkzcMIk/nsQnbkSNHMHbs2IseM378eBw5csTmc77zzjswGAx48skn7Q2P7LQxqxAAMLQdf6k6SpfwYPSIDAEA7MovkTkaIqLzFdfp0PHj3/Hsxv1IK68GYG4s8vv1Y3F//87wt3E9s3HvRtSOi4LugfGQSvIBhQJeD7wI3y83QfD2ceaX4Fma9mFjxkbkVB7bdCQ3Nxe9el281XtsbCyys7NtOt+GDRvw5ZdfYteuXVAoPDbPbRUOFJbhl+OZAIDRidHyBuNhBseG40hxBZaeysH0zolyh0NEZFFV34DeXyxDcV29Zez7aSMxq0eKVRXNpYjlxdDda/1A1/v1n6CeeKPDYm0rmpqOCCLXsBE5k8dmHiaTCUql8qLHqFQqGI3GS54rNzcXs2fPxs8//4zg4GCbY9Dr9aiurrb6IPstT8u1/PmKpBgZI/E8g2LNM5bzD59Gqbb+EkcTETmfJEl4buN+BL/zIwprdZbxd8cPxK0929ucrJnSjkD78CTUjTvbqEqIbw/vV75nsnaZBHaJJHIJj51hc5SGhgbccMMNmDdvHvr27dui977++ut48cUXnRRZ27Ul29zd870JA6FWeuwzB1nM6JKA+1ZuBwBszi7CjC6cZSMi+azPKMA9K7Yho7LWMrbptqswqoXVFfovXkHDx8+dHfAPgs9rP0I1crKjQm2TLDNsbDpC5FRt5m731KlTSElJQWpq6qUPPsecOXPQo0cP3HXXXS2+5jPPPIOqqirLR04Ou+/Zq1ynx5qMfADA1R3jZY7G84T5euOh/l0AAMtSbSsXJiJyNEmSMPjr5Rj3w19WydqGW69sUbImZqWhpq9glaxpnv4I/utLmKw5QtMaNiZsRE7VZmbYOnfu3OJW/N999x127NiB7du3X9Y1NRoNNBrNZb2XLmzINyssf+4QynbLzjCzezI+3ncSy1JzIEoSFC1YG0JEZC9JkvDC5oPYnV9qGbu+ayJ+nTGmRWvVpJoq1E3vZDXm88FyqEZOcVisbR5LIolcwmMTNlvWpxmNRqhUF/4rOHToEJ555hls2bIF3t7ezgiRLkNTV7Cejd0MyfGGtIuAr1qFivoGHC+ptHSOJCJytqPFFej5+VLL594qJZbfNA7jkmNbdB7TkV3Q3j7E8rmixyD4vPMbFFFxDouVzsEZNiKn8tiSyLi4OBQWFl70mPz8fCQkJFzwtY8//hh1dXUYNmwYoqOjz/uoqqpCdHQ0vv/+e2eETxdQ22Cw/Pn36y++ZQNdPrVSgWFx5uYjmxvXCxIROZMoSdiQWWCVrKUEB6DmyVk2J2uSthZ1tw1GTV/BKllTT7sLft/vYrLmDAqWRBK5gsfOsPXs2RMLFizAI4880uwx69atQ8+ePS/42meffXbRTbWDg4MvmRCSYy1LNa8BTAryZzmkk42Mj8LajAJsyS7CQwO6yB0OEXmoolrzvmo15zyQA4D/DO+Fl8f0tbkkWxJF1L/2IMSju63G1dfeA81znzssXrLGpiNEruGxM2zTp09Hbm4u5s2bh7KyMkjn/DCprq7Ghx9+iBUrVuC+++6TMUpqiRWN7fxv6ZEicySeb1SCue316ox8q5lNIiJH0RqMiH7/l/OSta+vHo5Xx/azOVkzHtiKuvHRMK5YYBlTdOwF/30meD//RYvWvVHLCOAaNiJX8NiETalUYu3atdDpdBg9ejRiY2Mt5YyDBg3C0aNHsXXrVvj5+QEANm7ciA4dOti8V1q7du2cGT79jShJWJtp7g45IZl7rznbiIQotA8JQLlOj6Wn2C2SiBxrTXo+/N5cYDV2U7ckbLl9Eu7s09Gmc0i11dB/9Tp0d42EVFECAFDPehz++0X4/XoIgsJjb3HchsSSSCKX8NiSSAAICgrCW2+9hbfeeuuSx44ZMwanT5+2+dzHjh2zJzRqoaPFFSiuq4evWoWhcZFyh+PxVAoFbuiahDe2H8HK03mY1bO93CERkYd4cfNBvLD5oOXzAC81iubcBB+17bckpoPbob1zuNWYss9waB59gzNqrsSSSCKX4OMnahVWnDaXQ45KiIJGpZQ5mrZhcgfzAv2VZ3KhNVy84yoR0aUU1mqx8HimVbL264wxqH5yls3JmqSthWHZfOtkTamE1wMvwOezdRC8uJWOa7EkksgVPHqGjTyDJEn4ZN8pAMD1XRJljqbtGBYXgeRgf2RU1mL+odNsPkJEl6XeaMRLmw/h9e1HLGNKQUD5EzcjUONl83nE8mLUjYuyGvN69A1o7nzKYbFSC3GGjcglOMNGbu9oSSVyquvgo1JiVk82HHEVpUKBRwd2BQAsPJEpbzBE1CqJkoSJP6yxStaSgvxx/IHpNidrktEI/ddvnJes+f58kMma3JrWCTJhI3IqzrCR21t1Jg8AMCYxGt7NbHROzjEhxbz/0bacYuRV16FdoJ/MERFRa5FaVoWBXy9Htf5sF8gPrhyMh/p3htLGhiCmQzug+9e1kMrO2RPS1x9+yzOgCAl3dMjUYpxhI3IFzrCR21ueZt5/bVIHbnrqat3Cg9EzMgQGUcSSVHaLJKJLM4kivjmYhs6fLLYka3f36YjSf87EIwO62JSsSZIEw9rfoJ09zCpZ837lewRsq2Gy5i6aSiK5ho3IqThdQW5tb34pNmebf1lPbs+tFFxNEARM7tAOR4orsC2nGA8P6Cp3SETkxlaezsWdf2xFcV29ZWxEfCS+mDKsRd0b65++GcbVv1g+9/1uJ5Q9Bzs0VnKApv+nnGEjciombOTWfjuZBQC4MiUW7UMDZY6mbeoXHQYAWHwqG9X6hhY1CSCitmHpqWxMX7je8rmPSonHB3XDmMRoXJEcY1OyJmlroX1wIsTDO6zGfT5YzmTNXXGGjcglmLCR2zKKIt5oXKg+KDZC5mjaruu7JkGl2Ix6ownHSyoxhPvgEVGj2gYD9hWUWSVrXcODsGP2FAR52/5wRzIYoL1zBMTUQ1bj3vO+gmrkFIfFS47WNMMmbxREno4JG7mtI8UVlj/f3osbN8tFIQgYnRCNdZkFOMqEjYgaVej0CH33J6uxO3t3wGeTh0GttH2JvJiVhrrpnazGNM99DvU1d0BQc0bfrSm4STmRK7DpCLmtrTnFAICJKbHowHJIWQ2NM89w/tnYsZOI2rbXtx0+L1nbdNtV+Orq4TYna2J+FrR3jTovWQs4IMFrxr1M1loTrmEjciombOS2NmUVAgBGJ0TLHAnNaNywfOXpXBTX6WSOhojk9M6Oo/jPhv2Wz5WCgIxHrsOoxGibG4tItdWom5IE04EtVuOauZ85NFZyLgFcw0bkCiyJJLckShI2ZTcmbIlRlzianK1PVCi6hQfjeGklvjiQimdH9JY7JCJyIYNJxJ9ncvH6tiPYmVdiGZ9/zQjc0buDzeeRaqtRe3UyUFVuNe63IhOK2ESHxUuuIbWg8ycRXT7OsJFb2phZiFKtHoEaNQbGcr8duQmCgLv6mG/KNjbOfBJR21BvNMLr9e8w7df1lmTNW6WE6dk7WpasVZWjdmSQVbKmHD4J/tvrmKy1UpZ0jSWRRE7FGTZyS3+lm9dKXdclEV5KpczREAAMjDEnzmszCnCmvJrbLBC1Aesy8jH+h9VWYx9dNRjXdIyHogXlj8btq6B/4xGrcb8/zkARl+KwWEkGbOtP5BJM2Mjt6I0mfH/kDACuX3MnIxOi0D0iGMdKKrE6Ix8PMmEj8ljrMvIxc/EmlGr1VuMH752K3lGhNp/HuH8L6p+eCakk3zImxHeA388HIPj6OyxekkljwsZ0jci5WBJJbudwcQUKanUI1KhxXVeWybgLQRBwY9ckAGcbwhCR53lj22GM/2H1ecnavruvaVGyZlixALq7R1mSNeXQifBbnQ//ZWlM1jxE0xyrwJJIIqfiDBu5nUNF5vUNg2Mj4O+lljkaOtfoRPOM56bsIkiSZHNHOCJqHR5fvQv/t/uE5fPJHeKw7MYroFTY/nzXsGw+GhZ+AvHobsuY5umP4HXTww6NleQnWUoiiciZmLCR21mfWQAAGBATJnMk9HeD24VDo1SgsFaHtPJqdAoLkjskInKQT/edtErWAGDBtJEtS9aWfoP6F+6yGtP8+32ob3zIITGSe2lK1CQWRRI5FRM2citGUcSqxs2ZJ3eIkzka+jtvlQpD2kVgU3YRNmUVMWEjauXya7T4765j+Gz/KdQ2GC3jPSNDsPWOSQjU2L55teGvX85L1nw+Xw/VwLEOi5fcTNMMG/M1IqfiGjZyK+szClBR34AQby8MiYuQOxy6gDGNZZFNM6FE1Drl12hx7cL1eHfnMatk7c+bx+PwfdNsTtYafv0ENX0F1D890zKm6NgLfutLmKx5OpbFE7kEZ9jIrSw8kQkAuLl7ClQtKMMh1xmXHIsXtxzCuswCiJJkc2tvInIPVfUN+GTfSTyzYb/V+AP9OuO9iQPhrbLt1kAyGqH71wyYNv9xdtAvAH6LT0EREePIkMndsekIkVMxYSO3oTMYsSwtBwBwdUeWQ7qrwe3C4adWoURbjyPFFS3qGkdE8iqq1SH6/V+sxm7v2R7zp45oURMhU9oRaG/sZT3o7Qv/5RkQgrn+uO3gPmxEruDwKQxRFCHxSQtdhu25xSiuq0e0vw/GJfPprLvyUiot3SLXZuRf4mgicgeV9Xq8v+sYkj5aZDU+d0SvFiVrYvZp1PQVrJM1tRf8d2gRsKOOyVobIyi4DxuRK9idsFVVVeGZZ55B//79ERYWBrVaDV9fX+zfby616Nu3L6644gqsXr3a7mDJs6WWVwMABsaEw0uplDkaupgJjQn1ohNZMkdCRJeyPacYIe/8hDlr9qDeaAIAzOiSCP0zt+HlMf1sTtZMpw6hblpHqzGvB16E/6ZyCN4+Do+bWg/OsBE5l10JW2VlJbp3745PPvkEw4YNw9y5c/H2229Dr9ejsNC8se7LL78MQRBw9dVXY+vWrQ4JmjzTjtwSAEDH0ECZI6FLmdk9GQCwM68EZdp6maMhogvZkVuMab+uw/BvV1qNL7txHH67fqzND8akyjLUXd8D2pl9rMb9VmRCc//zEHz8HBUytTrm20h2iSRyLrvWsM2bNw86nQ6nTp1CVFQUACAvLw9PPPGE5Zirr74akydPxoABA/D+++9jxIgR9kVMHskkivjtpHm2ZmqneJmjoUuJ9vdFh5AAnK6owd6CMlzZvp3cIRHROUyiiGHzrRO1aZ3i8fKYfugZGWLzeaS6GtROSgDqtZYxZd+R8H73dyhCwh0WL7VSlpJIZmxEzmTXDNumTZtwyy23WJK1Zi+iUGDy5MnYt2+fPZcjD5ZeWQutwQgflRIj4iPlDodsMCLe/O9+eWOjGCJyD/k1WvT6fNl5459NHmZzsiZJEgxrFqF2RKBVsua/uQK+X29mskZWOMNG5Fx2JWynT59GYmKiTceGh4dbyiSJ/m51unmz7F5RIVCynX+rcGO3JADArycyYRRFeYMhIpwpr8Zdf2xFu//7FcdLKy3jQ9pFYMXM8Yjyt22dmVhRCt3j01D/5A2WMa97noX/XiOEgGAHR02tmYCm9Y/M2Iicya6SSK1WC19fX5uOVavVaGhosOdy5MGamlfM7JYscyRkq/HJsQj10aC4rh4bMwsxPiVW7pCI2qxqfQM6fPy75fNwXw2u65KISe3jMK1zgk3nMKxZBMMvH8G0b9PZQf9A+HywAqq+XM5ARCQXu/dhs7WFP1v9U3OOFldgY5Z59nVyB+6/1lqolQrc2DUJn+4/hW8Pn2bCRiQDoyhi6alsXP/bRqvxo/dNt3lGDQAaFn4K/WsPnh3wC4DvJ2ug6D4QAqseqDmNa9gE3uMROZVdCVtoaCgqKyttOrampgYhIbYvdKa2Y11mAQBgVEIUOoUFyRwNtcSMLon4dP8p7CkolTsUojZnc1YhRn+/ymqsfUgA9t9zDQI1XjadQywvRsPnL8Pwy0dW497/+QTKnoMdFit5qsaSSCZsRE5lV8LWoUMHHD9+3KZjU1NT0b59e3suRx7qWEklgLNNLKj16BgaAADIqKyFKElQ2LifExFdPlGS0O/LZThUVGEZiwvwxYF7pyLc19vm85iO74N21gCrMZ9P1kDRqRcUoWz+RETkLuyqc7j22mvx66+/YtWqVRc9bs+ePfjpp59w3XXX2XM58kAG09l2/gNiwmSOhloqLtAPKoWABpOI7KpaucMhahMe/nOnVbKmFAScfvg6m5M1MTcdDb99fl6y5rc8Haoh45mskc2EppJImeMg8nR2zbD985//xF9//YUpU6aga9euSElJgVqtBgC88847mD9/PnJycrBnzx6MGDECc+bMcUjQ5DlOllWhXKdHgJea+6+1QiqFAr2jQrGvoAwbMgtxZ58AuUMi8liFtVo8vGoXfm98yAUAq26e0KJ9EE1njkN7fXerMUWXvvCdvx2CxvbZOSIAkNC0DxsROZNdM2xqtRrr16/HokWLMH78eCgUCpSXl2P06NGQJAn19fUYNGgQfvnlF2zcuNGSzBE1OVRUDgDoFcl2/q3VxGRzs5H3d9tWHk1ELSNJEp7dsB8x7/9qSdZu6Z4C439ub1mydvqoVbImBIdB8+//g++P+5is0WVpmllj0xEi57K7SyRgLo289tprHXEqamM2ZJq7Qw5uFyFzJHS5Hh/cDW9sP4LDxRXIra5DXKCf3CEReYRynR5DvlmBtPJqq/EvpgzDPX072XweyWRCwzdvoOF/cy1jQkQs/P7KhcB1p2QPS0kkEzYiZ3JIwkZ0OfRGE34/ZX5aPKkFT4nJvUT6+WB4fCS25hRjwZEzeHp4L7lDImr1yrT1CP/vz1Zj9/TpiP8M74XkENtKjyVRhHh0N7R3DLV+QRDgu2APkzVyAH4PEbkCa9BINkdLKlBZ34AwHw2uSI6ROxyywy09UgAAq87kyRwJUev309H085K176eNxOdThtmcrBlW/oDa/kqrZE3RczD8/spFwH4Rikjum0j2E9jWn8glOMNGsjlYeHb9GtvBt25jEqMBALvzS2EURai4HpGoxXbkFmPY/JXnje+9+2r0jwm3+Tx1tw6CeGzPeeO+n66F4OtvV4xEVoSm/zBhI3ImmxK2UaNGITMz0+6LpaSkYOPGjXafhzzD76eyAQDD49lCurXrHBYEfy8VahuMOFlahR6RIXKHRNSqbM0uwsjv/rQae2xQV7w/0fbNq8WyImhn9oVUWmAZE+JS4Pv5BghBoUzWiIhaKZsSttmzZyMnJ8dqTJIkvPTSS5g0aRIGDRp0wfdJkoRDhw5hxYoVmDBhAvdhIyt78ksBANM7J8gcCdlLIQjoFx2GzdlF2FtQyoSNqAVuW7IZC46mW41dmRKL/0648O/WCzGdOgTtzD5WY97/XQz12OkOiJDowgShsZqCJZFETmVTwnbXXXddcPyll17ClClT8NBDD130/QsWLMD999+P9957r+URkkcqrNWiRFsPAOgSFiRzNOQIA2LCsTm7CJuzizC7d0e5wyFqFbZkF1kla7vunILeUaHQqJQ2vV8SRejfmQPDTx9YxhRd+8H3y02cUSOnkwRunE3kCi5ZaHLrrbciISEBb7/9tisuR63At4fPADCvX/Pz4v58nqBp4/PfTmbBJIoyR0PUOmzMKrT8eeedUzCoXYTtyZrJBN1j11gla95v/gK/H/cxWSOXYKJG5Bou6wwwceJErF+/3lWXIze36EQmAOCRAV3lDYQcZkR8JAK81KjWG3C4uELucIhahdzqOgDAtE7xLdqPUsxKRe0AFUxbzU1KFF37wff3E1BPvNEpcRJdkMAukUSu4LKELSYmBkVFRa66HLmxqvoG7CsoAwBM6RgnczTkKEqFwtIt8tfjmfIGQ9QKiJKEP9LM68Pv6NXBpvdIOi3qbuyNuumdLWPeL86H34/7oEzu4pQ4iZolcONsIldwWcLm7+8PnU7nqsuRG9ueWwwJQIeQAMQG+ModDjlQUwOZvQWlMkdC5P6KanUoqNVBIQiY3OHiD68koxGGZd+idpgfxLTDlnHN819CPfUOZ4dKdEEsiSRyDbv2YQsICEBNTY1Nx9bV1SEgwLYNP8mzbc42z7SOTIiSORJytM5hgQCAU2XVMkdC5P6yqmoBAO0CfC+6bs106hD0bz4C04GtVuP+G8sgBIU6NUaii2JJJJFL2DXD1qFDB5w5c8amY9PT05GSkmLP5chDbGlM2EYxYfM4XcODIQDIqa7DwcIyucMhcmtNaz0Tg/yaPcbwx3fQzuxjlaxp/vVf+O8xMFkj+QmcYyNyBbsStokTJ+LHH39EWlraRY9LTU3FDz/8gCuvvNKey5EHKNfpsSu/BAAwOiFa5mjI0UJ9NJjRJREAsOhElszRELm3pn8j45Njz3vNdGQX9P+bi/rnzeWOiuSu8J2/HQEHJHjdOgeCyq4CGSKHYtpG5Fx2/cSfO3cuFi9ejJ49e2LKlClITEyEv//ZVsK1tbXIzMzEypUrkZSUhLlz59odMLVuazPyYRQldI8IRnIIS2Q90TUd4/HbySysSs/DK2P7yR0Okds6WVYFAJiYYp2wiTlnoL19iNWYz6droYg8P7EjkpPAkkgil7ArYfPz88Phw4fxv//9D5s2bcL69etRVVVleT0oKAhJSUl4/fXX8dBDD0Gj0dgdMLVuTXsOjU+OkTkScpamm8/9BWUoqatHhJ+3zBERuZ+6BgNyGlv6dww1r/00pR5Gwxcvw7h20dkDvX3gvyqX5Y/kpji3RuQKdtdUeHl5Yc6cOZgzZ44j4iEPtynLvH6N5ZCeKybAF70iQ3C4uAJrMvJxSw+uXSX6u205xQCAuABfhCoBw4alqP/ndKtjVFNnw/vJDyD4sRqB3BTb+hO5BIvgyWXyqutwvLQSAthwxNNd2b4dDhdX4K8zeUzYiC5gT+PWF9ODFagb4mP1mmr0VGie/xKKUNs30iaSA0siiVzDZfuwEa08nQcAGNwuAmG+LJPzZFckmWdQmxrMEJG11LJqBBq0eO39G6zGfX85BJ/3lzJZIyIiCyZs5DKrM8wJ26T27WSOhJytd6R5vU1aeQ2q9Q0yR0PkXsR6HR78+B7kLnvYMqa+/gH4b6+DslMvGSMjaqGmkkhOsBE5lV0lkV999RWysmxv3Z2YmIi7777bnktSK7Yn31wCxA2zPV+0vw86hATgdEUNFhxJx0MDusgdEpFbMJ06BO3MPuh+zpj3qwugnjxLtpiILpfANWxELmFXwvbDDz8gIyOj2deNRiPy8vIgCALi4uLQvn17JmxtVJm2HllV5o5ofaPZ7czTCYKAu/p0xH827MfajHwmbNTmicV50H/0LIx/fGs17vPhSqhGTJIpKiIiag3sStjWr19/yWMyMjJw9913IzY2FgsWLLDnctSK7SsoA2BuXx3sze0d2oIxieZ1bJuziyBKEhQC2z9T2yTVVEF3/ziImacsY1UqH/z32ufxXyZr1Jqx6QiRSzh9DVtycjIWL16MpUuX4scff3T25chN7W1M2PpHh8kcCbnKgJhw+KpVKNPpcbK06tJvIPIgkiRBMjRAqixD7ahgS7KmumIGfnp8PuKnfYzKniNkjpLITiyJJHIJlzQdCQoKwjXXXINvvvnGFZcjN2MSRXxzKA0A0D+GCVtboVYq0DsqBABwuLhc5miIXKt+znTUDtKgdmy4Zczng+Xwefc3rPCJAwD0igyRKzwih2DdBJFruKxLZMeOHXHo0CFXXY7cyIHCcpyuqAEAXN81UeZoyJWabki3Nm4STNQWmI7tgXHTMqsx9Y0PQTVyCoCzFQcDY8PPey9Rq2IpiZQ3DCJP57KELSwsDOXlfMreFq04nQvA3M4/KThA5mjIlaZ2SgAA/H7S9m6yRK2VJIrQzZkO7a2DLGOaf74L/2018H7mfwCA/Bot8mu0UAgC+kSxARMREV2aXU1HWqKhoQHe3twsuS36+Zi5k+jM7skyR0KuNjohCgpBQEGtDrnVdYgL9JM7JCKnEPMyUHd1itWYz//9AdWoq63G9haYtzfpFh4EPy+1y+Ijcga29SdyDZfNsOXk5CAlJeXSB5JH0RmMSC2vBgCMT46VORpyNT8vNfo1buOw4MgZmaMhcjyppgq6Z26xStaEqDj4b644L1kDgL35LIckzyFZNs5mwkbkTC5J2MrKyvDjjz9ixAh2xGprjpdWQpQkhPloEOPvI3c4JINbephvZHfklcgcCZFjieUl0N45HMZVP1nGlEMmwG/RMQgBwRd8T9MM24AYJmzU+glsO0LkEnaVRK5evRq5ubnNvl5bW4vs7Gx89913EAQBL730kj2Xo1boSHEFAHPzCYH7cLVJTY1HTrC1P3kQ04n90N7S/+yAtw+8X1kA9bgZzb5HkiTssSRs7JhLrd/Z3+ucYSNyJrsStocffhhnzjRf5hQQEICkpCTMnDkTzz33HMLD+USxrdmVZ7456c3F9W1Wr0jz//u08moU1eoQxZlWasUkkwkN372Dhg+etox5v/A11NPuvOR7s6vqUKrVQ61Q8GcieQbLGjYicia7Era0tDRHxUEeSJQkrGzsEDk2KVrmaEguEX7e6BsdigOF5ViTkY9be7aXOySiFpO0tTD88S2M21fBtHm5ZdznvaVQjZlq0zmayiF7RoZAo1I6JU4iIvI8LusSSW3P3vxSZFfXIUijxgQ2HGnTrkxphwOF5VidzoSNWh/95y+j4ZPnrQe9feD30wEokjrbfJ6z+6+xHJI8hGUfNpZEEjmTy7pEUttzrKQSgHlxvY+azwbasokp5oR9dXoeRP5ip1ZCzEqD7umbz0vWNI+/Bf/tdS1K1oCzM2z9o7k8gDyDYPkvf64TOZNdCdtrr71mc1lkamoqXnvtNXsuR63M0caErWt4kLyBkOyGx0fCT61CUV09DheVyx0O0UVJJhMMy+ajbnonGP/62TLudf88+O8X4XXHv1vcREmSJOxrnGEbwBk28hRsJkbkEnYlbHPnzsWaNWtsOnbJkiV488037bkctTIbsgoAAEPjImWOhOTmpVRa1jGuTs+XORqi5pmO7ELtABXq553TREQQ4PvTfmgeeOGyu91mVNaior4BXkoFukcEOyZYIrlxHzYil3BZSWRmZiaSk5NddTmSWUldPQ4UmmdSxiXFyBwNuYOJKe0AABuyCmWOhOh8kiSh/u3Hob19iNW4EJcC/201UHbpa9f5dzbuQ9grMgReSjYcIc/AfdiIXMMlC4uysrLwww8/4J577nHF5cgNLD6VBQDoHRXCNu4EAOgfbS4DO9y4Nx+Ru5BEEdqb+0FMPWQ17remAIpwx3S43ZBprjgYk8iOueRBWBJJ5BItStjS0tKwYMECSOdMff/xxx8oLLzwE3OtVoucnBwsX74ckZGReP755y94HHmeprK3m7pxVpXMekQGQwCQX6NFdlUtEoL85Q6JCJLJBO2dw62TNf9A+P12wmHJGgCkllcDAPpFc/0aeRCWRBK5RIsStiNHjuD777+3Sth2796NkydPXvB4Pz8/JCUlYe7cuXjsscfg6+trX7QtUFlZiddeew1//vknSktLLTGHhoZi9OjReOGFFxAVFXXR98+dOxcrVqyATqezjKtUKnTq1AmvvPIKhg0b5vSvo7U6XloJgDcndFagxgvD4yOxNacYf57Ow/39W9Zhj8jRTGeOQ/fgBEgl5gdMqrHT4f3ydxD8Ahx+rayqWgBAUjAfVJDn4PwakWu0KGGbMWMGZsyYYflcoVDg5ZdfxkMPPeTwwOxhMpkwbtw4TJ06FRs3bkRoaKhloXhVVRXmz5+P4cOH4/Dhw80mkXPmzEFwcDCOHj0KPz8/y7goiti+fTtmzZqFbdu2ITaW+4v9XWGtFqll5qfJXFxP5xqVEI2tOcXYW1CK+8GEjeRjWP0r6p+6yfK5omt/eL/6AwQfxz9YNM8q1wEAkjizTJ6kaYaNbf2JnMqupiOBgYEICnK/lu2LFy9GUlIS5s2bh7CwMKuuXkFBQXjssccwefJkfPbZZ82eY9WqVXjttdeskjXAnKSOGDECM2fOxNKlS532NbRmy9NyYZIkDIoNR1yg36XfQG3G4Hbm/af+PJMHkyjKHA21NVKDHrqnbkJNX8EqWfNbdhp+P+51SrIGAMvTciABGBAThpgA11WaEDnb5XZNJaKWsavpSF5e3nkJjTs4cuQIxo4de9Fjxo8fjyVLljT7+pNPPgkfn+abZcTHxyMnJ+dyQ/Ro23OLAQDjkzn7SNauTGkHP7UKeTVapJZXo2t4sNwhURshSRK094yGeGSX1bjPhyuhiG/v1Gs3rV8bHs8tTshDcQ0bkVPZNcPmjskaAOTm5iIm5uKt5GNjY5Gdnd3s63PmzLno+48ePYoOHTpcVnyebluOOWHjzQn9nUalRKewQABAWuNNLJGzmc4cR20/hVWy5vPhSvityIRqxCSnX/9YSSUAoGNooNOvReRSlpJIInImmxO24uJibN26FdXV7n+TZTKZoLzEPjcqlQpGo/Gyzr9s2TKsWrUK11577UWP0+v1qK6utvrwdKXaesvT5CHtImSOhtxRp8ab1k1ZRTJHQp5OMplgOrYH2uu7W8aUQyfCf6cOqhGToIhNdHoM9UajpaX/yPjmG10RtUYC17ARuYTNJZE9evRAWVkZRowYgU2bNgEAbr/9dmRmZtp8saSkJHz33XctDtJdVFRUYM6cOdiyZQuWLFmCkJCQix7/+uuv48UXX3RRdO6hqRyyW3gwQn00MkdD7uj6rkn45XgmlpzKxrsTBsodDnkoqaYStaOsf0YLIRHw+WAFBJVLtiAFAKSV10BvEhHi7YWekRf/nUHU6jStYWO+RuRUNv/WCg4ORmlpKYKDgy1j7du3v+RM1rmSkpJaEpvDnDp1CpMmTcKqVavQqVOnFr9fkiT88ssvePLJJ3Hddddh//79NjVbeeaZZ/DPf/7T8nl1dTXi4+NbfP3WZGduCQBgaBxn1+jCmjYOTq+sQW2DAf5eapkjIk8iGQxo+P5dNHz4jNW4z6droRwwBkILfmc5QlPpb8fQQDZoIA/U9D3NjI3ImWxO2I4fP46CggLExcVZxubNm+eUoBytc+fOSE9Pv6z35uTkYPbs2ZAkCX/++Se6d+9+6Tc10mg00Gja1izT7vxSAMDgWCZsdGHhvt5IDPJDVlUd/jydhxu6JckdEnkASZLQ8PnLaPjU+veSeuY/4P3UBzJFBext/JnYNdz9OioTOQofRRA5l81r2FQqFeLj41vFE0Jb1qcZjUaoLlEWs3v3bowaNQo33XQT1q1b16JkrS0SJQl7ChoTtsb27UQXMr1zAgBgaw7XsZFjaG/pf16y5r+7QdZkDQC2NH6PN80sE3kSQeH+94REnsB1hfwuFBcXh8LCwosek5+fj4SEhGZfr6ysxIwZM/Dzzz9jxIgRjg7RI50srUK13gBftQrduGE2XUSnUPNsQ1ZVrcyRkCdo+PVjiCcPWI15v/EzBLX85baZlebvcW5hQZ5IEMzP/QW29SdyKrva+rfE0qVL0aVLF5dcq2fPnli3bt1Fj1m3bh169uzZ7OvvvvsubrnlFiZrLbArz7x+bUBMGFQKl31rUSuUGGTeEuRUmed3TiXnMaz6GbrHp0H/xiOWMb91RQg4IEF95U0XeadrGEURuTVaAEBCoHtug0PkCOwSSeRcLrurPnDgAGprXfM0ffr06cjNzcW8efNQVlYG6ZwnP9XV1fjwww+xYsUK3Hfffc2eY9++fZgyZYorwvUY6xtbVw+KZTkkXVz/mDCoFQqcLKvCoaJyucOhVkj/zZuof+ZmGDcts2za67cyC4pQ99n/cfFJ816f3iolovx9ZI6GyAlYEUnkEjYnbKIoXtaHTqfDnj178M0337hstkqpVGLt2rXQ6XQYPXo0YmNjER0djejoaAwaNAhHjx7F1q1bLRt/b9y4ER06dLDaJ628vBzXX3+95X0X+pg1a5ZLvp7WoExbj19PZAIAhsW5zw0Tuadof1+MTDDvSbWvoEzmaKg1MR7Yitor49DwwdOWMeWwq+C/uwGKmObL3OXQtH7t6o5xULSC9d9ELca2/kQuYdMatvbt27dov7UL6d69O9566y27ztESQUFBeOutt2y65pgxY3D69GmrsZ07dzorNI90sKgcDSYRvmoVpnby7K0LyDF6R4VgfWYBduQW464+HeUOh1qBht+/gP7ls5URQlgU/H47DgQEQ3DDMuwzFTUAgAnJsTJHQuQcfAxB5Bo2JWyffvop8vPzL+sC3t7eSE5ORv/+/Vu0Zxu1Lk1rkcYmRkPphjdO5H6u6RiP93Ydx6KTWfh08lB+31CzxPJi6OZMh3h4h2VMNe1OaB59E0JQqIyRNc8oijhQaJ49bh8SIHM0RM5haTrCKTYip7IpYZswYYKz46BW7tfjGQCAftFhMkdCrcXIhCgEeKlRWd+AI8UV6MPvHfobyWSC6dB26O4eZRlTTZ4FzSOvuV3549/tLyhDQa0Owd5eGBEfJXc4RE7FLpFEzsVH2mQ3SZKwt3Ed0szuyTJHQ62FSqHAsDjzButbcopljobcjSn1MGoHa6ySNa9HXoXPqwvcPlkDgBOlVQDMD7E0KlaXkIfi2kwil2DCRnYrrNWhzmCEQhDQIZSlP2S7UQnmzYQ3Z19830RqOyR9PXRzpkN7U2/AZLKM+y1Ng+bu/8gYWcscLq4AAHQND5I5EiInakzYWBJJ5FwO3zhbFEXLnxVck9ImHCo2t2VPCfaHF9cpUgs0dYrckl0ESZIg8GltmyZpa1E7ItDSph8AoFLD+/WfoEjoIF9gl2FDlnmbk+HsmksejD+ziVzD7oyqpKQE//jHP9CrVy8EBARArVZbPgICAtCrVy/84x//QHExS5481ep0c0OaobwxoRYaGBsGjVKBorp6pJVzE+22TP/Nm6gdHmCVrPl8uBIBexqgHn+djJG1nEkUcaykEgAwtLHsl8gTCewTSeQSds2wFRcXo1u3bhAEAXfccQeSkpIQEHC2JK6mpgaZmZn47rvv8PPPP+PYsWOIjORNvSeRJAnfHzkDALiuS6LM0VBr461SYVBsBLbkFGFLdhE6hbF8rK0xndgP3WPXQCo524lYPetxaOa8A6GVzthnV9WhwSRCo1QgIchf7nCInKepJJJNR4icyq6E7fnnnwcAnDx5EmFhzXd4e/rpp9G1a1fMmzcPn3zyiT2XJDdToq1HqVYPAcCEFO41RC03KiHKnLDlFOHuvp3kDodcyLBhCer/ea3VmNcDL0Jz//MyReQYTbPF7UMCuWE2tQlcw0bkXHYlbNu3b8fNN9980WQNAMLDw3HzzTdjw4YN9lyO3NCRxoX1iUH+8FU7fEkktQEjE6KAbcDm7CK5QyEXMaUdQf28OyGe2Hd20D8Q3i99C/XY6bLF5ShpFeaErSObMJGn4wMJIpewaw3bmTNnkJhoWxlcQkICMjIy7LkcuaENmebufsPjWepKl2dYXCRUCgEZlbVcx9YGSJIE7Y29rJI173lfIWBLlUckawBwvMTc0r9jaKDMkRA5l2ApiZQ5ECIPZ1fCptPp4OPjY9OxPj4+0Ol09lyO3ND6xk5o45JiZI6EWqsAjRqjG9v7r07PkzkaciaxvATa24dYjWme+xzq6XfJFJHj1egNWHQyEwAfZJHn4/wakWvYlbAFBgaioqLCUbFQK1PbYMCe/FIAwNikaJmjodasqZPegcJymSMhZxALslF7TXvUjYuEeHS3Zdz7rYXwmnGvjJE53tqMfBTX1SPC1xtXtW8ndzhEzmUpieQUG5Ez2bXoKDExEbm5uY6KhVqZbTnFMIoSEoP8kBTMtRp0+fpEhQIADhYxYfMkkihCTD0E7c39rMZ9/u8PKIdOhKD2kiky5ymoNVeSjEyIgreK63rJwwlN/2HCRuRMds2wTZ48GX/88YfVZtnUdjRtDDs2keWQZJ+mhO1IcQUMJv488QTG3etR2195XrLmt+QUVKOu9shkDQAKarUAgGg/25YLELVqbDpC5BJ2JWxPPvkkVCoVnn76aUfFQ63IrjxzOeSohCiZI6HWLjkkAMHeXmgwiZbOo9R6iSUF0N0/zmrM54MV8N+thyLRs7duyK8xz7BF+zNhI88nNN5GsukIkXPZVa/x3nvvoUOHDnj33XexaNEiDB06FMpmNjo9deoUAOD222+3Gk9ISMArr7xiTxgkA0mSLOVr/WIuvq0D0aUoBAFD2kVg1Zk8LE/L4fdUK9bw4wfQv/2Y1Zjvgt1Qdh8oU0SuI0kS/mpsnNM9IljeYIhciCWRRM5lV8KWnZ0NURQxatQoAEB+fn6zx/r6+mLUqFHIycmxGm8uwSP3llVVi8r6BqgVCnQND5I7HPIAM7slY9WZPPx8PAPPj+ojdzjUQsbd68+bVfN+93coO/aCIr69TFG5VnFdPfJqtBAATO7AhiPk+QQFSyKJXMGuhG3+/PkOCoNam7/OmJPz7hHB8GLSTQ4wISUWAJBaVo16o5ENG1qJhl/+h4bv3oGUn2k17vPBcqhGTpEnKJk0bf4eH+jH719qEwShsSSSM2xETmXXGjZqu74/cgYAcHXHOJkjIU8R4++DCF9vmCSJ7f1bCeO2VdC/8YhVsqa66mb47xfbXLIGAP/bewIAEBvgK3MkRK7FNWxEzsWEjVpMPGf92s3dU2SOhjyFIAgY2djAZmNWoczR0KUYln4D3SOTLJ+rJt4EzfNfwvuFryG00c5x5fUNAICpneJljoTIRdrov3UiV2PCRi12urwadQYjvFVKdAoLlDsc8iBjE80bsG/IZMLmrhq+fRs1fQXUv3CXZczn8/XwefNneF17NwSNt4zRySu7qhYAMK1TgsyRELkIN84mcgmHFNkfOnQIR48eRX5+PnQ6XbPHJSQkYPbs2Y64JMloS+M6jZ6RIVApmPOT44xpTNi25RajwWTi+kg3Ihblom5aR0BfbxkT4jvAb8FuCIEhMkbmHirr9ajSGwCY17ARtQVN6ZogMWEjcia7Erba2lrMmDED69atgyRJCA0NhY9P83vPtG/fngmbB/j2sHn9WtPNNZGjdI8IRoSvN0q09dhXUIahcZFyh0QAxMxTqLu2i9WYEJcCv9+OQ1CrZYrKvRxsXHeZGOSHAA3/TqhtYJdIItewK2H7z3/+g/Xr1+OTTz7BbbfddtFkjTxHankVAOCmbknyBkIeRxAEDIwNx8rTuUzY3IRkMEA3Z5rVmO+CPVB07gOBnRAt9haUAQD6x4TLHAmR6zFtI3Iuu+rZVq9ejdmzZ+O+++5jstZGaA1GFNWZS6KSgwNkjoY8Ub/oUADA4eIKmSNp26Sqcuj/Nxe1g7wgZp4C/APh8/l6+O8Xoew+gMna3+xrStiiuek7tR0CUzUil7ArYUtPT0ePHj0cFQu1AqvT8wAAoT4ahHh7yRwNeaLOYeaN2NPKq2WOpO0y7liN2vHRaPjyVcuY113/gWrg2DbbAfJiTKKIdZkFAIAh7SJkjobIhRp/HnAfNiLnsithMxqNULIpQJuyvrF7383dk3njRk7RKdTcefRYSSVELmR3Of1Xr0P30JWA0WAZU1//ALzu+LeMUbm3k2VVKNHWw99LZdmagqhNaLwNYNMRIueyq6YlMjISeXl5joqFWoETpZUAgH4s+yEn6R0VigAvNUq09dibX4pBnLFwCcOahdC/+09IRbnmAf8g+P12DIrIdvIG1gqcKDWv6+0WHgy1kp1zqe1QCGe/3yVJ4oNcIiex6zfLxIkTsWLFCphMJkfFQ26sWt+A7bklAIA+UaEyR0OeSqNSYlxyDABgfWOZGTmXcdc61D9zsyVZUyR3gf+GUiZrNjrSuN6yW3iwvIEQuZiicWsfAdyJjciZ7ErY3nnnHYiiiClTpmDVqlU4efIksrOzm/2oruaalNZsTXo+tAYjOoUGom80EzZyntGNZWWbGvf8I+eQJAnGzcuhe2IG0PjgTfP4W/D9+SCbirTAjsYHWYPbsUMktS3COWvYWMJO5Dx2l0TOnTsXt912G9asWWPT8QUFfGLeWm1uvHm+sn07lj2QU41u3ONva04RjKLIDdqdwLDud9Q/cZ3lc0XvYfD9fD0EL42MUbVOJ8vMJZGsPKC2RnHOPmxM2Iicx66E7ccff8Rtt92G4cOH45ZbbkFcXNxF2/tHRXExdmt2oHFj2IHcZ4icrFdkCII0alTpDThQWI6BsfyecxSprgZ10ztDKj378Ew14QZ4vzifydplECUJBbVaAEBcoJ/M0RC5lqJphk1iwkbkTHYlbO+88w6GDh2KTZs2ccbFw4mShINF5oStD8shycmUCgVGJkRheVouNmUVMmFzELGiFHVXWDdx8fnoT6iGXyVTRK1fXrUWRlGCQhAQ7c/9SKltOXvvJ0FkvkbkNHbVGZ06dQqTJk1istYGnKmoQU2DARqlAl0a98kicqbRCeayyA1ZhTJH4hlMaUegvX2w1Zj/xjIma3b66Vg6AKBDSABLd6nNUZzzPc8ZNiLnseu3i06nQ3BwsINCIXf2w5EzAICBseFsW00u0dQpclNWIQwmUeZoWi/j3k3QPXE9tDf2gpRrTi7UNz4E/80VEII4W26vpsY49/btJHMkRK7XdDfApiNEzmVXSWRwcDAqKiocFQu5sW25xQCA23q2lzkSait6R4Ui3FeDUq0eO/NKuCFxC5kObofp+F7o337Matx30TEo23eTKSrPIkkS9uSXAgC/P6lNEpra+nMNG5FT2TVVMmLECOzfv99RsZAbO9y4z1BfbphNLqIQBIyMN98E7y0olTma1kXMz4L2rhFWyZoQ3x5+awuZrDlQVlUtSrT1UCkE9I4KkTscIpezLomUMRAiD2dXwvbuu+9i586d+OabbxwVD7mholodiuvqIQDoHhEsdzjUhnRuXC+ZVs49HG0l5mWgbkoS0Pi0WwiPgfr6B+C36BgUYZwFcqQ9+WUAzLPB3ty3jtogJfdhI3IJu37DvPzyywgMDMQ999yDJ598EomJifD19W32+KSkJHz33Xf2XJJkcKRxdq1DaCB81bwpIdfpFBoI4Oz3IDXPuHMtdA9NtCRqAKD5zyfwuuEBGaPybHsaZ3651Qm1VYLApiNErmDX3XdKSgqUSiWGDh1q0/GJiYn2XI5kcqTEfLPcM5IlP+RaoxrXBe3MK0FVfQOCvL1kjsg9iVmp0D04wWqMyZrz7S8wz7D1j2GpOLVRlhk2JmxEzmRXwvbCCy84KAxyZ02L6nuyHJJcrH1oIDqHBeJUWTVWp+fjhm5JcofkdvSfzEPD5y9ZPlf2GwXNv9+HsktfGaPyfJIkYX+hOWHrx7W91MYJkgQTF7EROQ3r2+ii9EYTlqbmAAAmpMTKHA21Rdd0jMepsmNYciqbCVsjSZJgXPc7jOt/h/HPHy3jPh//BdXQiTJG1nZkV9Whor4BKoXAtb3Udp2zDy/zNSLnYcJGF7W/sAxagxERvt4YFhcpdzjUBl3dMR7v7DyGTdncQLuJ/uX7YFj8pdWY76KjULbvLlNEbc+BIvPsWveIYGhUSpmjIZIXm44QORd3QKaL2pZj3n9tWFwEhHOepBG5yoCYMCgEAXk1WuRV18kdjqwkUYRhxQKrZE09417479AyWXOxA4XlAIC+USyHpDaMa9iIXMIhM2z79u3D1q1bkZmZiaqqqmaPS0xMxLx58xxxSXKRpg2zh8ezHTjJw89LjR4RwThcXIE9BaVoF+gnd0iy0P/vOTR8+Yrlc0VSZ/h+uwNCIJsByWFfY8ORfmw4Qm2ZVUkkEzYiZ7ErYRNFEbNnz8YPP/yAgIAAREVF4fTp0+jSpQtCQ0NhNBpx4MABGAwGDBgwAEaj0VFxkwtIkmSZYRvOckiS0aDYcBwursDuvFJM79y2us2KFaXQzZkG8dB2y5hy1NXwfuEbJmsykSTpnJb+TNiIBEmCKHcQRB7MrpLIL774AgsWLMBnn32G8vJyrFu3DpIk4e2338aWLVuwY8cO5Ofn45prrkFgYCDmz5/voLDJFbKr6lCirYdaoUC/mFC5w6E2bFBsBABgd2PH0rZAMplgOnMM2ht7WSVrXvc+B593foMihHt/ySW7qg7FdfVQKQT0iebPRmrLuHE2kSvYlbB9++23mDZtGu655x4oFIoLrnEKDQ3Fjz/+iL179+Lzzz+353LkYk37r3UJD4K3iv1pSD6D2pmTkz0FpW3ipqBh0WeoHaCC9voekEoLAADqmf+A/34RmodegqDmfnRyappd6xUZyp+N1LaxJJLIJexK2M6cOYO+fS+914+vry+mTZuGH3/88ZLHkvs4XNS4YXYEy65IXt0jguGjUqJab0BqWfPrZD2B6eQB6F+13vBa86//wvupD9j4x000zfQOjGU5JBHApiNEzmZXwlZSUoKwMNt+YSUnJ+P48eP2XI5c7FCxuQtarygmbCQvlUKB/o1rhTy1LFIyNEB710hob+5nGfP5YiP8d2jhdescGSOjv9uYZd5iYnBjqS5Rm9XUJVKSuA8bkRO5rK1/aGgoKioqXHU5slON3oAVabkAgIExXCtD8mtax7Ypq0jmSBzPuGUFagdpYDqwFQCgHDAGfn+cgWrAaAjePjJHR+cq1+mxp/GhweQOcTJHQyQzlkQSuYRdCVtoaCiqq6vPG5cu8I+WpTyty9GSCtQZjIj298HYpGi5wyHC5A7tAACr0vNkjsQxJEmCcfNy1N0xDLpHr7aMez3wAny/2ABFXIqM0VFzDheZKw+Sg/0R5c9kmghgSSSRs9m1Wrpdu3ZITU21fB4ebp6JudBMWmVlpeV1cn9p5eZEvGtYEJNtcgsDGmd682u0qNY3IFDTuhtvGNcvRv0T11mNeb/zG9TjZsgUEdnicHHj2t5IlooTcYaNyDXsmmGbOnUqFi9ejEOHDgEANBoN2rdvj1WrVp137F9//YUuXbrYczlyoV155pKfruHB8gZC1CjI2wuRft4Azj5QaI0kgwENC96zStbUsx5HwAGJyVorcKQxYevFhI3IwtzWX+4oiDyXXTNsjz32GBYvXox+/frhzjvvxJdffonnn38ed9xxB7KysjBw4ECIoogtW7bgwIEDWLNmjaPiJidbk5EPAJjUWIZG5A56RoRgXV0BduaVoH8rXFspFmSjbrL1xt/e/10M9djp8gRELcYZNqJzndt0hBkbkbPYNcMWHh6OHTt2YMGCBZgwYQIA4LbbbsNff/2FiIgIrF+/Hlu2bEGHDh2wY8cOjBs3ziFBk3PVNRhwunEGg13QyJ2MSTSvp2zq0teaNPz8kVWyphw4Fpon3mOy1oqIkoSjJZUAOMNGBIAlkUQuYveOnwEBAbj55putxiZMmGBJ4Kj1WZaaAwlAbIAvIhpL0IjcwdikaGCTOWETJQkKN19fKdXVoH7enTCu+81q3Gv2k9A89qZMUdHl2p1XAq3BCB+VEh1CA+UOh8htsOkIkXPZnbCR5/mrsQvfrT3YpY7cy8DYcPiqVSjV6nGspNKty9IkSULtpASgptJqXDXtTnj943V5giK7LG/c6uTazolQKVy2Kw6R+2p8aKbgGjYip+JvHDrPoSLzGo0h7VgOSe7FS6nEsDjz9+WWbPfdj00sL4F21gCrZE3Rayh8fz0Mnxe+hsCb/VbpYGNL/+HxkTJHQuQmFErLH0WTScZAiDwb7xrISnpFDQ4WlUMAMCi29TV1IM83PM58s7w9t1jmSM4nGY0wnToE7V0jIJ7YDwAQ4lLgt64Ift9uh7JjT5kjJHscaEzY+kSFyhwJkXsQVGcLtSSjQcZIiDwbSyLJyrYc803wsLhItAv0kzkaovMNj48CcPZ71V2YMk5Ce/sQoLbKMqYaPRXery6A4BcgY2TkCMV1OuTXaCGAHSKJLJRnbyNFk1HGQIg8GxM2srK/sAwA0D8mTOZIiC5scLtwKAQBmVW1yK/RIjbAV+6QIJYUQDuj69kBvwB4z/0c6qtmyhcUOVRTqXiH0EAEaNQyR0PkJs5J2CSWRBI5DUsiycqBxoStbzRLfsg9BWq80DMyGACwQ+aySMnQAN1TN6FuYqxlzPuthfDfUMZkzcMcZDkk0flUZx9esCSSyHmYsJGFJEmWm5K+0ZxhI/fVr/H7s2lPLDmIRbmoHaSBcfWvljHNnHegnnA9BDVnYDwNH2YRXYDybNMRyciSSCJnYcJGFhmVtajSG+ClVKBbeLDc4RA1q2vj9+fx0kpZrm/cvwXaO0dYPlfPehz+2+vgdfu/ZImHnG9fgTlh680ZNiILQRBgEhpvJU2cYSNyFq5hI4u1GfkAgF6RIVArmcuT++rfOMO2ycUbaIulhai7tjNQW20Z8351AdSTZ7nk+iSPzMoapJZXQykIGMrtToismBRKKE0iJCPXsBE5i0MSNoPBgJMnTyIzMxMlJSXw9vbGddddB41Gg23btiEuLg6JiYmOuBQ50aoz5g2zZ3Th/ytybyMSIuHvpUJRXT32F5RhgAu2oDCdPADtzf0snysHXQHv57+Eol2y069N8lp52vyzcVhcJEJ8NDJHQ+ReTAolYDJA4gwbkdPYnbD9+uuvePLJJ5GTkwNJMm9zLwgCwsPDMXHiRNx77704deoUZs2aha+//hoqFSf13JFRFLH4VDYAlvyQ+/NSKjEuKQZLU3OwMavQqQmbmJ8F3SNXQcw4aRlTDp0Inw9WWO1BRJ5rd34JAGBccozMkRC5H5NgXsfGNWxEzmNX3duuXbtw8803Y9iwYdi9ezfKysqQlZUFSZJgbPyHe+DAAXz11Vf4+eef8dlnnzkkaHK8Zak5lj+nBPvLGAmRbZoa45worbrEkZdPkiTUv3KfVbLm8/Ff8P34LyZrbUh6RS0AoHNYoMyRELkfk6Kx8Qj3YSNyGrsStpdffhn9+/fHjz/+iP79+yMkJAQKhfUpNRoNZs+ejWuvvRbff/+9XcGS8xw/p9teh1DelJD7a2qMsym7ECZRdNh5JVGEce8mGP74DrX9FDDtWA0AUF19O/z+zIZq6ESHXYtahzOVNQCA5GBugE70d6KCM2xEzmZXwnbixAmMHz/epmN79+6NjIwMey5HTpRXowUAzB3RCyoFG46Q+7uyfSz81CqcqajBMQe29zcs+Rq6e8eg/vk7LGNeD7wAn5e/hSI63mHXodYhr7oO+TVaKASB3XOJLsDUdM/AGTYip7HrzjwrKwsxMbbV9AcEBKC0tNSey5GTiJJkaTiSFMRySGodAjVelvWWjiiLlCQJuidvhP7le63GNU+8B6/7nrf7/NQ6bc81r1/rHRWCAA331yM6j9JcHp5fVX2JA4noctmVsImiCOU5myZe9EKctXFbGRU1yKyqhUIQcC07RFIr0i08CABwqHHD98vVsOgzaG/sBeOahQAAISoOvj/sRcABCV6zHofgom0DyP1syy0CYO4QSUTn8/LyAgAcLeBDeSJnsSuLUigUMJls23fDZDLxpseN5FTV4VhJBbQGI/Y2bgjbNTwIoWxZTa3I0Mab6M3ZRZd9DtPB7dC/+gDE00cBAEJoJHx/2Atlt/4OiZFat205xQCA4UzYiC5IrTYnbLtyClFUq5M5GvdmFEVLR/XWTpIkNDSTA5hE8bLWlhtMjvn7kSQJ23OKoTWcLdM1iSK2ZBfBYHLcmndXsqvNWXx8PPLz8206tqSkBPHxXP/hDr4+mIa7l287b7xXZIgM0RBdvtEJUQCA3fml0BqM8FXb/iPNuGUFGua/BdPh7ZYxzeNvQT1rDjtAEgCgsFaLA4Xm2VvOsBFdmKpxhk0lmhD9/i+Q5s62+b0mUURWVR2Sg/2bfagvSRKyq+pQUKuFSZIwPD7qsmMtqtVBpRAQ5uuNnKo6hPlqUKM3wFulhL+XCl8fPI3yej3+Obg71ErznEZ+jRZLTmVjaqd47MorgUIQMDQuAlqDCUEaNdZmFCDC1xv7C8vw55k8vDWuP3pFhkKtVOBYSQVyq7W4sn077C8ow5BvVuDpYT3x0pi+WHk6F89tPIB3xw9AXKAfgjReqDeaYBBFeCkV8FIqIEoSahuMaB8SgLTyavh7qZFfo0Wf6FCrfgOSJEEQBKw8nQuFAFzVPg6SJOGPNHMHcFGS0D4kEJ/vP4Uh7SIQ4qPB/oIybMkpwvxrRiDSzxuZlbU4UVaFE6VViPX3wW8ns/BXej4WXjcGxXU6jIyPglGScKqsCj8dzcDPx819Kd68oj+6hgcjs6oWy1KzUVRXjyPFFQDMfRFu6JpkSZzmbT6II8UV6BUZgqs7xuMff+0CAPx18wQYJQlTfl6LruFB6BgaiPv7dUaQRo2ekSHYmlOM4jodxiRGY0duCfy8VCiqrUexVoetOcVYm5GPu3p3xJXt2+F0eTWeWr/P8ncT4++DnXdOwf/2nsRbO8wPZr+YMgz39O102d9HchAkO1LZSZMmobS0FLt377b8Q8vLy0N8fDyWL1+OyZMnW44dOXIk/Pz8sGrVKvujvoTKykq89tpr+PPPP1FaWmrJ1kNDQzF69Gi88MILiIq6+D/4ffv24cUXX8TRo0eh1ZobciiVSrRr1w733Xcf7rzzTpvLQZtUV1cjKCgIVVVVCAyUrxNjWnk1On38+3njO++cgsHtImSIiOjySJKE5I8WIauqDl9OGYa7bfwBbPjrF9Q/PdPyuRAaCd+FR6EI5fc/nfXNwTTctXwbBsWGY9ddV8sdDpFbqr2xD6S0Q5g24glsiOqO18f2w2092wMA6gxGLDyRid5RofBSKDAgNhwNJhMyK2tx/8odONx4Yw8Aa2dNxPdHzuDfQ3ugsFaHOWv2WG78L8ZHpYQgCFazKe5gbGI0NmQVyh0GNePMw9chJUT+zr+25gZ2PUZ+5plnMGbMGMyaNQv/+te/kJycbNl/TRRFaLVa5OTk4KOPPsL27duxYcMGey5nE5PJhHHjxmHq1KnYuHEjQkNDLclkVVUV5s+fj+HDh+Pw4cPw9fW94Dn27duHG264AR999BHGjRsHjUZj+ZrS0tLw1FNP4eTJk3jnnXec/vU4Q8fQQMwd0QuvbD1sGesQEoBBTtx8mMgZBEHAXb07Yt7mg/grPf+SCZth/WLU/2uG1ZjXAy9Cfe3dTNboPE03k5xdI2qeoFJBAqCSzOVxz2zYj2c27G/xecb/YN5C5dvDZ1r0Pp3RtqU5rsZkzb39dCwdz47oLXcYNrNrhg0A5s+fj2eeeQbFxcWWsaap2Sbh4eF44403cOedd9pzKZssWrQIP/30E3777bdmj3n00UeRnJyMOXPmXPD1q6++Gvfffz+uueaaC75eV1eHbt26Yffu3ZecqTuXu8ywNalrMGDBkXTc0iOF3c+o1Vqbno8JP65GQqAfMv9xfbNlNabDO6G9fxxQr7WMeb/7O9RXXOuqUKmVGfPdn9iUXYSvrx6OO/t0lDscIrdUd/sQiEd2IW/eAozOUKK4rl7ukKyoFQoYRBEapQKdwoLQPiQAOoMRf6VfeknP8LhI5NbUIauqzjL23dSR+PzAKXirlJjVIwVPr9+HosavuXNYIDIra3F7rw44WVqFLTln11dH+HqjRHv+382jA7uiXYAvkoL98d9dx+CjUiElOABfH0qz6esbGheB/tFh6BERAr3JhLUZBZZSyOdH9sZLWw4BAIa0i8DeglIYRfNt/xVJMcisrEV64z6TTaZ1isfm7CIkBftjfLJ5+5wSbT2q6hswKiEatQYD9EYTTpZV4faeHXDzkk1W/8991Sp8OWUYFp7IRHplDW7pngK9ScTzmw7gq6uHQ61Q4NcTGWgwiVidno9ekSEoqtPhf1cNQWGdDrUNRmzOLkLX8CDc0j0Fx0srsSItFyMSItE9PBgV9Q3YX1iGD/acwMj4KNzSIwWzlmxGUpA/Nt52Fb45lIa08hp0DQ9C57AgLE3NhkEUoTeacHP3FJTX69EuwBdTOsRB6QYNEW3NDexO2ACgvr4eJ0+eRGZmJqqqzrbXDggIQHJyMrp06QIfHx97L2OTefPmISIiAo888kizxyxbtgxLlizB119/fcHXExMTcezYMfj7N9/ifsaMGXj88ccxatQom2Nzt4SNyBPUNhgQ/u5P0JtEHLlvGnr8bS2mWJwHwy//Q8PXr1vGfH/aD2WXvq4OlVoRoygi6O0foTUYcez+6egWESx3SERuSXvnCJgObrM8ACvT1mNnXgl6R4UirbwaA2PDcaioHEpBwLrMAlTpDYjx98HQdhG48qc1qNYbAJgTiPWZBUgI9MMXU4YBAManxEIhCNAZjMisqsWiE1l4bFBXBGq8MP9QGiJ8vTE0LhLeKiW2ZBdhQkosSurqkVZejW4RwQjSqJu9Kc+srMGrWw/jtp7tLWvCmlsHLUoSSrX18PdSn3eMJEmo0jcg2PvCTdtMogitwWT1YLzBZML/7T6BgTFhGJNk2/ZYLaE3mqA3mRCo8UJtg6FxTVzzy3j0RhM2ZRWiR2QIYgMuXH3mzhpMJphECT4tWMfuLlxSEtnE29sbffr0QZ8+fRxxOrvk5uaiV69eFz0mNjYW2dnZzb5eVVV10WTNlnMQkWv4e6kxMiEKazMKsDWnyCphM27/C7qHr7J8LiR0hO/n66GIipMjVGpFjhabu+gGatTo0rh9BBFdQOM+bE0bZ4f5emNKR3OTubhAPwCwNAoZ8rfy4qp/z7LpEj5qFbqGB+O5kcGWsdm9rWe9r2zfDgAQ5e+DKP9LTxIkBQfgi6uH23R9hSAg0u/C5xQEodlkDQCUCgUCNNZJo5dSiX8P7WHTtS+HRqWERmVO0Py9Ll1BpVEpMbHx76818lIqgZa1lWh15J8LdDCTyXTJZiAqlcqy1u5y2XIOvV6P6upqqw8icrzBseb1Z7vzz+4DJGaftkrWFB16wG/xSSZrZJOdeeYNswfHRkDBLWmImtfY1h867cWPI6LLZlfC9s9//hNPPPEE8vLyHBWPR3n99dcRFBRk+eC2BkTO0dTd9OiZDJjOHEfNmDDUTTv79FXz5Afw/fUwBDeoV6fWYVeeOfkfws65RBclhEUDAMTSApkjIfJcdt29xMfH46uvvkJKSgruvvtunDx50lFxOcypU6eQkpKC1NTUyz7HG2+8galTp7b4fc888wyqqqosHzk5OZcdAxE1b2hcBEaVpWLdt7dDe313oKrc8ppq0i1Qz3yk2WYkRBdimWFrx+65RBfTVLUgFfPhPZGz2JWwzZkzB9nZ2Xj55ZexatUqdO/eHddeey127tzpqPjs1rlzZ6Snp6NTp8vfIO/pp5/GsmXLWvw+jUaDwMBAqw93ImalwrhrHcTcdEg27kgvFp/tqiRpayHVVDV/bFEuJP2lu0VJVeWQqsohFuZAatBD0mkh5mfaFE9LSLXVkM65kT933PDXLxCzT1uP67SQqi+8B4xUVwOx/JzOqEYjxPysFl33ckg1lTD89Qskg3mRtpifBcnknJbGktFo+Rql6gqIFaXNHytJEHPO4GI9jCRDA8TCsw8tJF0dxLKi5o8XRRjWLIRUWWY9bjLBsOpnq/HQsjws3/i61XFCcDh8PvoTPq/9wGSNWqSyXo+TZeafbYNiOcNGdDFCpHntk1hw4d+BRGQ/u5uOBAQE4Mknn8Tjjz+O7777Du+88w6GDx+OkSNH4qmnnsKkSZMcEafNbFlbZjQaoVLZ96U74hxyalj4KfSvPXjpAxUKwEsD1OushpXDroJp9zrAaIAQHHbeTXUTISoOUlEu4O0DZdcBUKR0g+G3z8wvBgQDNZUXvbwQHA4EhULKMs+QCuHRkMqLAY0PoKtrHIuBVFoA+AcBggBl94EQM05AKsqFaux0SBUlMB3cZh1//9EwndwP1NWcd00AgK8/oK09f1zjDcHHz/L1CsHmp++SaAKqK6DoPhCCXwCE4HB43f8C9G89CtOuteefW68DBAGwYS2lctTVUHbuCzHrFIyrfz37gkpleb8QEgEhOgFSST4giRAi4yCe2AcAUPQaCvHwjsaTKaEceAUEf3MTBdPhHVZPRdUz7oVUVQ7TsT2QSvMBoxFCQkdI5UVAbTUUSZ2hSOoC08FtkCrNCZyi52CIR3ZZziHEJEI5cCyMG5dCERUPwT8IpgNbLv119h0B9bS7YNy4FMaNS61eU9/xb5g2LYOYecpqXEjoCCEkAuKh7Zax7NB4dH71K6iGTLjkNYkuZE+++d93SnAAIvy8ZY6GyL0pOpobvZm2r4Kk00LwaX1dBp1BkiTzPZLaC1K9DoK3uWmJJIqAyQRBbd0MRNLXw3RiH5Sd+5rvu0QT0KAHfP0hph6CEBkHISAY0NUCKrX5XkRfD0Fz4Z9Rkr4eUHudtxRA0tfDdGQXGj57AV53PAlFcheYDu+AavgkGDf9AUV8Byj7DDt7vNEI04EtUHYfCMOiz6AaOx1CSATgFwBIEkwHt0HZfaD5wW5WKpT9R5njFkVIVWUw7dsEsTAHioQOUF0xw3yu3sNgOrwTiqg46D97EapRV0M94QYA5v1SBbUXVCOnwHRsD+DlDam2CkJAMARffwghkah/5T4o+4yA+vr7AX09BG8f6L95E1JeBjSPvg4ICoiZJ6FI6gzDmkVAbRWEkAior7kdhjULIfgGQDX8KrQmDmnrfy5RFLFkyRK89dZb2L17N3r06IGnn34aN9100yWbgTjCCy+8gPDwcLva+iclJeHo0aMe29bfuGsddA+Ml+36RM5y65CH8VfCINQ8eSvUSq5Xo8vzypZDeG7TAczsloyfZoyWOxwitybp61F3VbzlIZ73f5dAEAQoh10J8cwxCNEJUISEQ5IkSNlpEBI6AiYTpPxMCHEpELNSoUjqDEEQIFaUQjy5H2LOGahGXQ0hsh3EDPNyG0VUHPTvzIFkMsJr5j9g+GM+oPGBasgEiKePQjl4PKSiHBj3bIB63HUQC7LQ8PXrECJiIYRHAzWVkEwm88NMSYQQEQvxxH4oUrpBOewq83Vzz0AR1x6mkweA2ip43fk0hNBISA16NHzyHJSDJ0BQqSGWFkDZexiMW1dCkdARisROMCz+Eor23a0eYP6doktfiCcPAADUt/0Lhu/fBRQKKLr2h3hszwXfI4RFQbpQNYraCzA0AIIA9W3/glSQBeOahYBKBcE/2PL/43IpuvQFTEaIaUfsOo+78ludD0WE47dUaCmX7sPWnI0bN+KNN97A6tWrkZSUhJdeegm33nqrsy4HAPjtt9+wYMECLF68uNljHnvsMSQlJTW7cfY111yDe+65B9OmTbvg661942zjrnXQPX6N1ayZkNjJMov1d+oZ90IsyYdpy4qzgyoVVCOvhhCTCMPiL82zXd6+UHbtB7EgG1JhNuClgWrsteYnIxpvSBWlMB3bbX7y8nf+gRCCwqCefjeUnfuYS/8WfQrTkZ1Ws1BCYieoRkyBlJ8B44YlVqdQDhwLISAYYm46xNRDF/07sMzKXco5s1iW9zb+8FR06g1FQkeIeRmAIEA8vvfS5wOgGjsdpuN7zTOPTRpnvFD7txJTb1+rjZ6tT6QGjAaoJs+Cad+ms+cLCIZ66mwYfnjfcqhyyASYdq6xKT7APCvndes/YVz/O0zHdkMRFm3+OysrglRXffG/Xy8NlH1GwHRin3n2NedM49fiA0iS+WlYYwmNI9Y8CFFxEILC4P3Wrwj5ZQ9qGgwX3I+NyFZTf1mHP9Jy8N6EgXh8cHe5wyFye4Zl81E/787Lfr+lGofIRbweeQ2au5+ROwz3SNiaAnn88ccxf/58BAcHo7zcMWt5mmMymTBkyBBMnjwZjz76KEJDQy3rV6qrq/Htt9/i//7v/3Do0CH4+fld8BwHDhzAjBkz8NFHH2H8+PHQaMz7a4iiiPT0dPz73/9GSkoK3n333RbF5i4JGwCI+ZkQQqMsU/RNpMoywC8AgtoLYmkhhLAoy9+fWFFqLvfzst5vRKrXwbh9FVQjp0Boau97CcYtK9Gw8GMoew+D1+ynIFxi9lVq0MO4dSVUIyZbrt8Uq1RaCDEvHaoBYy78tZaXQAgJByQJUmUpFKFn94GRtLWAKELwN///kGoqAZUXxOxUQJKg7NIXUm01TPs3Qzlkwnlf+3lf1651ULRLPvvkS+0FRVSc+cliaaHV0xxJWwupshRCRDur0gixrAhCcLjV34lYUgBoayBmp0E5YvL55xLF87+2yjKYju6GcvhVlv+HUk2V+embz/nf+2JJAcSc05AKs6GaeBOEi5T8SjWVEM8ch2HDYmjuegZCUGjzx+rrgXpts8dItdWQaiph2rcJMBmhHHiFudwjIsYSt2HDUkj5GRBik6AaeiUEbx+IJQUQNN4QAs8mZsPnr8T23GL838RBeHRQt2ZjImqOJEmIfv8XFNfVY/vsyRj6t32jiOjC6t9+HIaFn5h/97mr5pY7tBLKviMBQYBUUQxFUhcIgaEwHd0F8cwxq+OEuBRIuemWzxU9BkEqzDn/QfVFlqYI0QlQdh8IITj87FIWywkVwN96H3jd8ywU3QbAdHAbDN+9Yz6sS19AFKG6YoZ59jHtMIwbFgNGIxRd+8H4189QDpkI07Y/zSdRqaCZ8w7E9OMw/Pa5+bz3Pgfx9BEIoZEQSwqgCI2EkNgJ4tHdEILDoeg+EIrwaECSoP90HsQT+wEA3m/9ar72iMkw7lwD44YlEHNOA5II9fgboJ5xr+XeT06yJ2zp6en48MMP8fXXX6O+vh433XQT/v3vf6Nnz57OuJyVqqoqvPrqq1i5ciXKysosjRCCg4MxevRovPjii4iONreh3bhxI+655x7s37/f6i/qwIEDmDdvHo4ePQqt1jzDoVAo0K5dO9x77724++67W1zi6U4JG5En+mD3cTy2ejf6Rodi/z0t7+xKlFVZi6SPFkGlEFD971nwUbfetcpEcjBlnIRp60roP3/p/KqRRoqOvSCmHYZqym0QfP1hXLsIUkUJFF36wueNnyHVa6Gd2RcAIETHmx+m1tVASOgIzWNvQpHYCaaD2yCoNVAOGAMhKg6G3z6DcdsqeD/xHoxbV0LMy4DXLY9CiDJvqdT0EFQyGqF/42GYUg/B593FgFIJ8dRBCEFhECJiIVWVQRGdAPj6w7T9Lxg3LIbXAy9CCLV+eCMoleaHsUW5kLS1UIRFQSwthLK9+WGhWF4M1OvMVSBKpaVBmJidBkVkO3PCIwgQi3KgiO9g9UBYzM+CmHsGyr4jzNU0jeu0miMZjUBDPQRff0iSBEEQzM3A0o5AkdzF5ofpLSXptObqGcCquVfTfbc9Db+kxr8fT28aJlvCtmnTJrz//vv4448/EBoaigceeAAPPvggYmLkrxOVGxM2IucqqtUh+v1fAAAFj9+IaH8ufqeW+e1EJq7/bSOTfiIXkoxGoK764tUalWVAYAj30ySPYmtu4JDv+oaGBsyfPx99+/bFFVdcgTNnzuDzzz9HdnY2XnrpJSZrROQSUf4+6BcdBgBYnZ5/iaOJzrevwNwhsn/j9xEROZ+gUl00WQMAITiMyRq1WXZ95xcXF+OFF15AfHw87rrrLsTHx2PNmjU4fPgw7rrrLnh7sx0yEbnWVe3NDU1WnuYCdmq5vY0J24AYbphNRETuwa7i/GnTpuHo0aO488478eijj6JDhw6OiouI6LJM7RSP17YdxrLUHNToDQjQqC/9JiKY113sLTC3wu4fwxk2IiJyD3YlbL/++iuCgoK4HouI3Mag2HDE+PugoFaH46WVGNwuQu6QqJVIK69GRX0DvFVK9IrithBEROQe7CqJjI+PZ7JGRG5FEAR0DjPva5daVi1zNNSa7MwrAWBev+bVwi7AREREzmJzwmYymZCbyzUhROT+ukcEAwCWpWXLGwi1Kk0J25A4zsoSEZH7sLkksnPnzsjIyMCkSZOwfPlyAMDzzz+PzMxMmy+WlJSEl156qcVBEhG1xN19OuJ/e0/ij9QcaA1G+HIvLbJBU8I2OJYJGxERuQ+b72JqamogSRLq6uosYzk5OcjJybH9YireNBGR8/WJCkVikB+yquqwLqMA13SKlzskcnMVOj0OFVUAAIZxho2IiNyIzRnU0aNHcfLkSfTp08cy9s033zgjJiIiuwiCgKs7xuN/e0/i3Z1HmbDRJW3OLoIoSegcFoh2gX5yh0NERGRh8xq2iIgIjBw5EgEBAc6Mh4jIIR7q3wUAsC23GA0mk8zRkLvbllsMABiVEC1zJERERNa4ZTwReaSu4UEI1KhhFCV2i6RL2p5jTthYDklERO7GroTttddeQ1pamk3Hpqam4rXXXrPnckRENhMEAd3CgwEAx0oqZY2F3JvOYLRsmD0sLlLmaIiIiKzZlbDNnTsXa9assenYJUuW4M0337TnckRELdLU3v9oSYW8gZBb255bDL1JRLsAX3QM5d6iRETkXlxWEpmZmYnk5GRXXY6ICL0iQwDA0v2P6EKOl1YBAAbGhkMQBJmjISIisuaShC0rKws//PADxo0b54rLEREBAPrHhAEANmUXorJeL3M05K7SK2oAAO1D2FSLiIjcT4s2RktLS8OCBQsgSZJl7I8//kBhYeEFj9dqtcjJycHy5csRGRmJ559/3r5oiYhaYGBsOJKD/ZFRWYsfjqbj4QFd5Q6J3FBqubkpDRM2IiJyRy1K2I4cOYLvv//eKmHbvXs3Tp48ecHj/fz8kJSUhLlz5+Kxxx6Dr6+vfdESEbWAl1KJhwd0wRNr9+KTfafwUP8uLHkjK5IkYX9hGQCgd2SozNEQERGdr0UJ24wZMzBjxgzL5wqFAi+//DIeeughhwdGROQId/fpiKfW7cOxkkrkVmsRH8RNkemsvQVlKKzVQaNUoHdUiNzhEBERnceuNWyBgYEICgpyVCxERA4X7K1Bj8hgAMC+wlJ5gyG3szo9DwBwdcd4+HmpZY6GiIjofC2aYfu7vLw8+PnxaTURubf+0eE4VFSBvfllmN45Ue5wyI3sLTCXQw7lhtlEROSm7JphY7JGRK3BgFhzt8hd+SUyR0LuxGASsT6zAAAwnBtmExGRm3LZPmxERHIZlRAFANiaUwytwShzNOQutucWo1pvQLivBgNjw+UOh4iI6ILsTthKSkrw6KOPom/fvggJCYFSqWz2o2PHjo6ImYioRbqFByMpyB/1RhP+SM2ROxxyE+syzLNrE5PbQang80siInJPdv2GKi4uRteuXbFgwQKMHDkSDz/8MCRJwsMPP4zPP/8cH3/8MWbMmAGFQoEHH3wQH330kaPiJiKymSAIuKVHCgDgx2PpMkdD7mJ3Y4ns8HiWQxIRkfuyK2F77rnnIEkSTp48iQ8++AAPPvggAOCqq67C3Xffjfvvvx8LFy7EV199hQULFqBnz54OCZqIqKVu7p4MAPjrTB5qGwwyR0NykyQJu/PNXUMHsRySiIjcmF0J2/bt23HLLbcgMvLiTydvv/12xMfH46233rLnckREl617RDCi/X2gN4k4VlIpdzgks1NlVaiob4BGqUAv7r9GRERuzK6ELT09HUlJSTYdO2HCBKxatcqeyxERXTZBENAtPBgAsK+xlTu1XeuaukPGR8FLqZQ5GiIioubZlbDpdDr4+PjYdGx0dDRyc3PtuRwRkV2GNe619eXBVJkjIbmtbWw4Mj45RuZIiIiILs6uhE2lUsFgsG0tiJ+fH3Q6nT2XIyKyy4P9uwAADhaWo0KnlzkaktPOPHPDkbGJ0TJHQkREdHF2JWxRUVGoqKiwfK5SqQAARuP5+xwZjUYoWXZCRDKKDfBFt/BgSAB+P5kldzgkkwqdHoW15geI3SO4fo2IiNybXQlbly5dsGXLFsvnkZGR0Gg0Fyx9zMvLQ3x8vD2XIyKy2w1dEwEAG7IKZY6E5LLytPl3VGKQHwI0apmjISIiuji7ErbZs2djw4YN+Ne//oW8vDwIgoDRo0fjww8/RHr62b2ODh06hG+//RZjxoyxN14iIrsMamdex7arsSSO2p4/z+QBAG7pniJzJERERJdmV8I2a9YsPPfcc/jiiy9w/fXXAwDef/996PV6dOzYEaGhoQgODka/fv0QFRWF1157zSFBExFdruFxkVArFDhdUYMTpZVyh0MyOFxsLuUfxg2ziYioFRAkSZLsPUlDQwO0Wi2Cg4MBAHq9HqtWrUJGRgaUSiU6dOiAiRMntvk1bNXV1QgKCkJVVRUCAwPlDoeozZr00xqsOpOHF0b1wbxRfeQOh1yooEaLdv/3KyQAeY/diNgAX7lDIiKiNsrW3EDliIt5eXnBy8vL8rlGo8G0adMccWoiIoe7tUcKVp3Jw8f7TuK5kb2hEAS5QyIXWZdZAAlA/5gwJmtERNQq2FUSSUTUGt3YLRk+KiWK6+pxqqxK7nDIhbbmFAEAxrCdPxERtRIuS9hSU1O5ho2I3IJaqcCQxuYjW7KLZI6GXGlrTjEAYATXrxERUSvhsoRt6dKleOutt1x1OSKiixoRHwXg7A08eb4ybT2OlVQCAIbHRckbDBERkY1clrBt3LgRnTp1ctXliIguqmmGpalEjjzf9lzzVg5dwoIQ4ectczRERES2sanpyPPPP4/MzMzLuoBer8exY8dw4sQJLF68+LLOQUTkaEPiIqAQBGRU1iKvug7tAv3kDomcrCk5ZzkkERG1JjYlbNnZ2cjJybmsC3h7e2PUqFH4+uuvMWjQoMs6BxGRowVqvNAnKhT7C8uwNacYN3VPljskcrKz69dYDklERK2HTQnb/PnznRwGEZHrjYiPxP7CMvxwNJ0Jm4dLK6/Gjlw2HCEiotaHbf2JqM2a0SURAPBHWg4Ka7UyR0POtPJ0LiQAg9uFIyUkQO5wiIiIbMaEjYjarNGJ0UhoXLt2uKhC5mjImbKqagGYyyEFbpROREStCBM2ImrThsaZ92Nje3/Pll5RAwBICvKXORIiIqKWsWkN26UcP34c69atQ2ZmJkpKSuDt7Y1XXnkFkZGRePvttxEdHY3p06cjIIBlKETkXiZ3iMMvxzOxKj0PL43pK3c45AQ6gxFrMgoAAP2iw2SOhoiIqGXsnmF75JFH0Lt3bzz//PNYu3Yt0tLS8NVXX2Hv3r0AgIMHD+Kuu+7CsGHDUFzMJ9hE5F6GxZkbUOzJL8XRYpZFeqLU8mpoDUaE+mgsM6pERESthV0J24IFC/Dxxx/jo48+QklJCQ4dOoSFCxdCkiTLMT/88ANOnDiBgoICvP/++/bGS0TkUO3PaUCx4OgZGSMhZ0ktqwYAdAoN5Po1IiJqdexK2D7//HNMnToV999/P1Qqc3XlhX4ZdujQATfccAOWLl1qz+WIiBxOEAS80lgKebCwXOZoyBnWZeYDALpHBMsbCBER0WWwK2FLS0tD3762rflITk5Gfn6+PZcjInKKKR3iAADrMgvY3t8DrUjLBQDc2DVJ3kCIiIgug10JW1FREcLDw2061tfXF9XV1fZcjojIKfpEh6FTaCCMosT2/h7mcFE5cmu0UAoChnPDbCIiaoXsbjpi63oArhsgInfWNTwIALAhq1DmSMiRvj9iXpc4tVM8/LzUMkdDRETUcnYlbF5eXqivr7fp2IaGBnh5edlzOSIipxkUa+4e+P2RM1aNk6h1255bAgCY3jlB5kiIiIguj10JW0pKCnJycmw6tqCgAMnJyfZcjojIaR4Z2AUAkFejRWZlrczRkCM0mEzYV1AKABjSju38iYiodbIrYevXrx8WLlyIurq6ix5nMBjw22+/oX///vZcjojIaQI1Xhjczrwmd1su94z0BAcKy6E3iQjz0aBjaKDc4RAREV0WlT1vfvXVV9GtWzf07t0bDz74IJKTk2EwGCAIAg4dOgQAyMnJweeff47CwkK8/PLLDgmaiMgZhsdFYVdeKbbnFuPWnu3lDofstKMx8R7SLoLrqImIqNWyK2FLTEzE3r178fTTT+Pll1+26gL57LPPAgACAgIwatQofP/990hKSrIrWCIiZxoeH4n/7jqGNen5MIkilAq7+zKRjHbmmdevDY1jOSQREbVediVsANC1a1fLhtiVlZWoqqqyvBYQEIDQ0FB7L0FE5BKjE6Lgo1LidEUNVp3Jw5SO8XKHRHbY0dhwZGg7tvMnIqLWy6GPj4ODg5GYmGj5YLJGRK1JmK83bu9lLoVccTpX5mjIHvk1WmRX10EhCBjUzrb9QomIiNwR632IiM5xbedEAMAvxzPZ3r8VW5qaDQDoExUKf+6/RkRErZhdCVtLbmb27NmDPXv22HM5IiKnuyIpBkpBQLlOj/wardzh0GVanmaeIZ3ZndvJEBFR69aihK2srAz/+Mc/0KNHD/j4+EClUiE+Ph5TpkzB5s2bL/ie8vJy3HvvvRgyZAi++eYbhwRNROQsaqUCycH+AIA1GfkyR0OXQ5QkbG/sEDkmMVrmaIiIiOxjc9OR0tJS9OjRA0ajEbNnz0b79u3h5eWF/Px8LFu2DGPHjsXChQsxY8YMy3u++eYbPPnkkzCZTPj0009xzz33OOWLICJypBHxUThdUYNvDp3G7N4d5Q6HWuhkaRUq6xvgq1ahTxTXUhMRUetmc8L23HPPwWg04vjx44iMtO64NXfuXMyYMQOPPPIIZsyYgWPHjuGBBx7Atm3bcNttt+Gdd95BRATbKhNR6/DvoT0w//Bp7MgtQW2DgWugWpnV6XkAzPuvqZVcqk1ERK2bzb/Jtm7diltuueW8ZA0ABEHAY489hsLCQtx8883o06cPSktLsX79enz77bdM1oioVekWEYzkYH8YRBEbswrlDodaaF1mAQBgSoc4mSMhIiKyn80JW1paGpKTm1+8nZho7qy2bNkyvPjiizh06BDGjBljd4BERHKY1N58s7/oRKa8gVCLHS8x7wfaN5rlkERE1PrZnLA1NDT8f3t3HhdV2bcB/Bp2QUBRYBh2RBSQxdx3XPLRzDWXXDLtycrXMm0xl8e0TfNNH8s1yxYT00rN1HytRMh6Ks0dNxZRYdjUlH0d5n7/QOdpBEYGmTkzw/X9fPjInPU69xxnzo9zzn1gb29f53g7OzsAwOeff46FCxdqXhMRmaOJd3oX3HXpGkorVRKnofpKu12ItLxCAEBY6xbShiEiImoEjX5xv5OTU2MvkojI6Hr6ekDevBmKKlQ4nv2X1HGonr6+cAVA9eMZPJs3kzgNERHRg+Pd2EREtbCSydDbt/qe3YOXMyVOQ/UVf+eew5EhvhInISIiahws2IiI6jAuNAAA8NmZFKjUamnD0H1VVFXh14zq56/1D/CSOA0REVHj0Ktgk8lkjTINEZE5GNXODy0d7JBdVIqTvCzS5P2ZdRMllSq0drRHuHsLqeMQERE1ino/hw0AFi1ahOXLl9c6TqWqvil/6tSpaNas9vsGgoODcfjwYT0jEhFJw87aGh3lrXD4ajaGbP8Jt16ZJHUk0mFr4mUAQH9/L1jxj4dERGQh6l2wffrpp7h27doDrczPz++B5iciMra2bs44fDUbt8sqUKVWw9qKV5KbIiEE9iZnAABmdAyROA0REVHjqXfBNm3aNAPGICIyTasGdcGmk8kAgMu3CxHSylXiRFQbZUEJsotKYWMlQ687ncUQERFZAv6pmIhIByc7W3Tzbg0AOJ17S+I0VJc/Mm8AACI93OBoq9fV/kRERCbNIgu20tJSLF++HB07doRCoYBcLodcLkdISAgmT56My5cv33cZ5eXlWLx4MYKDgzXzy+VyKBQKdO/eHfv37zfClhCRKYj2dAMAHEnPlTgJ1eVuwdbd213iJERERI3LIv8MOXHiRHh5eWH//v1QKBSaniuLi4uxa9cu9O/fH3/88QcUCkWdy3j33XeRkpKCY8eOwc3NTTNcCIFz585h3Lhx8PHxQXR0tKE3h4gkNjLED5tOJuOLs5ex+uGusLW2yL91ma0qtRrfp1bfv8aCjYiILI3FHXUcP34cSqUS69evh7e3t9ZjBpycnDB16lTMmTMHK1as0LmcAwcO4I033tAq1oDqxxZERERg7ty52L59u0G2gYhMyz/aeKNVM3sUVlTiz6ybUseheyRcy0HSXwVwsrXB4KC6/xBHRERkjiyuYEtMTERMTAysdPTkNmjQICQmJupczuTJk9GmTZs6x/v6+iIjI6PBOYnIfFjJZBgYWP0g5h/TMiVOQ/eKu5INABjT3h+ezWt/rAwREZG5sriCTalUwsvLS+c0CoUC6enpOqeZPXs2bGzqvmL03LlzCA4OblBGIjI/Q9t4AwC+PH8FQgiJ09DfHb5WXbANDND92U9ERGSOLK5gq6qqgrW1tc5pbGxsNA/6bog//vgDa9euve+jDsrLy1FQUKD1Q0TmaWxoAOytrZByqwAXbuZJHYfuyC+rwJ9ZfwEABrBgIyIiC2QWBVtsbCxatGih8yc2NtbgOUpLS/Hqq69i9OjR2Lp1K4KCgnROv3z5cri6ump+fH19DZ6RiAyjuZ0t+t8pCA6k8rJIU3EkPRdqIdDWzQW+rk5SxyEiImp0ZlGwTZkyBXl5eTp/pkyZUuu8+fn5CA4ORkJCwgNl+PHHHxEdHY3c3FycOnUKMTEx951nwYIFyM/P1/zwnjci8/ZoWx8AwOZTyVDzskiTcPhq9eWQAwLkEichIiIyDIvs1v/vXF1dkZqa2uD5b9++jeeeew7Jycn49NNP0atXr3rPa29vD3t7+wavm4hMy9SIYLx66DiSbxUg6a98hLZuIXWkJi/u6t3719g7JBERWSazOMOmj/rcn6ZSqXR2KHJXSkoKevXqhQ4dOuD48eN6FWtEZHmc7W3RVdEaAPDp6RSJ09CfWTeReP02ACDGn2fYiIjIMllcwebj44OcnByd02RlZcHPz0/nNJWVlRg9ejSWLFmCxYsX37cjEyJqGp59qB0AYOfFaxInoRW/VT+eJbBFc7g7OUichoiIyDAsrmCLiIhAfHw81Gp1ndPExcUhIiJC53K++OILhIWFYcKECY0dkYjM2PAQX1jLZLiaX4SM/GKp4zRpqbere979Z3RbiZMQEREZjsUVbJ06dYK/vz9mzpyJzMxMrecllZSUIDY2FqtXr8Zrr72mczknTpzAsGHDDB2XiMxMcztbPOTVCgDwS0auxGmartJKFZL+qi7YxocFSpyGiIjIcCyuYAOAL7/8EgEBARg2bBgUCgXkcjnkcjmioqJw4MABxMfHQ6H47w3qSUlJCAoKQnJysmbYrVu3MHfuXM28tf307dtXis0jIon19fMEACRc0335NRnONxevokxVBT8XJwS1aC51HCIiIoORCcG+qY2loKAArq6uyM/Ph4uLi9RxiKiB9qdkYPhXcXC0tUH6C2PRypH3TxnbxN0/Y8eFK1jUKxJv939I6jhERER6q29tYJFn2IiIDGlIG2+EuLmgpFKF/SlKqeM0OcUVldiXUv1cy2F3no1HRERkqViwERHpycbKCuNCAwAA7x+7IG2YJuj7VCWKK1UIauGM7t7uUschIiIyKBZsREQN8NSdnglP595CXlm5xGmalv9kXAcAPNrWBzKZTOI0REREhsWCjYioAQL/1tHFq4eOS5ik6TmR/RcAoLNXa4mTEBERGR4LNiKiBpDJZPBxdgQAJN8qkDhN05FdWIL/KKvPsHW683gFIiIiS8aCjYiogQ5OehgAcDz7L5SrqiRO0zSs/fOi5vd2rdjbLhERWT4WbEREDRTWugUUzo4oqVThZz6TzSiO37kcckbHEFhb8SuMiIgsH7/tiIgaSCaT4ZE23gCAT86kSJzG8ikLihF3NRsAMLtLqMRpiIiIjIMFGxHRA5geVd1b5M6L11CmUkmcxrL9mXUTaiEQ5dkSHTxaSh2HiIjIKFiwERE9gB4+7mjpYAe1EEj+i52PGNKvd7rzj/Z0kzgJERGR8bBgIyJ6ADKZDB3cq8/27E9RSpzGsn15Pg0AMLytr8RJiIiIjIcFGxHRA3oysg0A4ONTyRBCSJzGMuUWlSKnqBQyAEPu3DdIRETUFLBgIyJ6QMNDfGFjJcPV/CLsvHhN6jgW6bvkdABASCsXONnZSpyGiIjIeFiwERE9IA+nZngyMhjAfwsLalzfXLwKAHjqTicvRERETQULNiKiRjDtTsG2NzkDpZXsLbIx3Swpw5H0XADAiBDev0ZERE0LCzYiokbQ09cDfi5OKKyoZOcjjWzL2VRUVKnR2asV2rduIXUcIiIio2LBRkTUCKxkMjweHggA2H6nN0NqHHcvh/xnNC+HJCKipocFGxFRI3msvT8A4NukdOy6U2TQg7leXIpjmTcBACNC/CROQ0REZHws2IiIGklnRWvN77susbfIxrDuz0sQADrK3aBwdpQ6DhERkdGxYCMiaiRWMhn2jBsAADh4ORMF5RUSJzJ/Oy9dBQDM6tRe2iBEREQSYcFGRNSIHm3rg6AWzrhdVoFDV7KljmPWMvKLcfFmPgBgZDteDklERE0TCzYiokZkbWWFAQFyAMB7v5+TOI15u3t2rZ+fJ1o7OkgbhoiISCIs2IiIGtkLXUIBAH9k3sDNkjKJ05ivu89eGxrsI3ESIiIi6bBgIyJqZJGebgi787ywXzNypQ1jprILS/D9nefZPRyokDgNERGRdFiwEREZQF8/TwD/PUtE+tl4IgmVajV6+njgIa9WUschIiKSDAs2IiID6HOnYFt99AIyC4olTmN+vrzz8PHZdy4vJSIiaqpYsBERGUCMv1zz+yenUyRMYn4yC4px+XYhZACGtPGWOg4REZGkWLARERmAwtkRz3eufnbY7iQ+RFsfG08kAQB6+njA1cFO4jRERETSYsFGRGQgS/tGw1omw5nc20i5VSB1HLOx5WwqAGButzCJkxAREUmPBRsRkYG0cnTAgAAvAMCyX89KnMY8HEhVQllYAiuZjJdDEhERgQUbEZFBvdw9HABwMC0TQgiJ05i+z89Un12TN28GJztbidMQERFJjwUbEZEB9fXzhIONNXKKSvFjWpbUcUyaEAK/Ka8DAN5/uKvEaYiIiEwDCzYiIgNqZmuD/+lU3fnI/MMnoOZZtjqdyb2FzMISWMtkGNbWR+o4REREJoEFGxGRgS3oFQFnO1uczr2FX/gg7TqtPnoBANDDxx2OtjYSpyEiIjINLNiIiAystaMDxoUGAABiEy9LG8ZECSHw05XqS0Zf6hYucRoiIiLTwYKNiMgIpkQEAQC+vngVxRWVEqcxPUczbyC7qBT21lYYGszeIYmIiO5iwUZEZAT9/OVo09IZBeWV+OrCVanjmJQylQrjd/8MAOjt6wkHG14OSUREdBcLNiIiI7CSyTCjYwgAYOmR0yjiWTaNI9dykVFQDHtrK3z4SA+p4xAREZkUFmxEREbyVFRbNLOxRkZBMb69lC51HJPxfaoSAPBERBsEu7lInIaIiMi0sGAjIjISdycHzO4aCgDYk8yC7a6EazkAgH+04b1rRERE92LBRkRkRBPDqzsf2Z+SgYqqKonTSO96cSnO3cgDAHRTuEsbhoiIyASxYCMiMqJIj5Zo4WCHiio1Vv1xXuo4klv5x3mohUBY6xbwcXGUOg4REZHJYcFGRGREMpkMkR4tAQDbz1+BEELiRNJRFhTjg2PVD8ue3zMCMplM4kRERESmhwUbEZGRfT0mBgCQeP02xu9OkDSLlGITL6OiSo32rVzxeHig1HGIiIhMEgs2IiIj82zeDHO7hQEAdl68htRbBRInMr7iikpsPJEEAHi5ezhsrfl1REREVBt+QxIRSeDNfh01v+9PyZAwiTRiE9OQXlAMb2dHTAjj2TUiIqK6sGAjIpJAcztbrP1HNwDA1xevShtGAncfazC7Syic7W0lTkNERGS6WLAREUlkcJACAPC78gYKyiskTmM82YUlOHw1GwAwNNhH4jRERESmjQUbEZFEgt1coHCu7sp+5e9Np4v/VUfPo6JKjV4+Hujg3kLqOERERCaNBRsRkUSsZDIs6hUJAHjr1zM4f+O2xIkM76e0LM3z5xb1jmRX/kRERPfBgo2ISELTooLhaGsDAHjzlzMSpzGsMpUKg7/8EQAwMMALQ9p4S5yIiIjI9LFgIyKSkKOtDbaM6A0A2JecgaKKSokTGc6Z3P+eQXxvUGeeXSMiIqoHFmxERBJ7rL0/2rR0RqmqCvuSLbeL/5V/nAMADAv2QUd5K4nTEBERmQcWbEREEpPJZJgUHgQAeCXuOFIs8EHaV/MKsfPiNVjLZFjcJ0rqOERERGaDBRsRkQl4pUc42rdyRVZhCabsOSJ1nEb33Z0zh2HuLdDN213iNEREROaDBRsRkQlwsbfDgccHwUomw7Gsm0jPL5I6UqMRQuCdX88CAMJbt5A2DBERkZlhwUZEZCICWzoj2tMNADQFjiU4nXsLN0rKAAAvdQ+XOA0REZF5YcFGRGRC5nQNAwDsuHAFt0rLJU7z4KrUasyLOw4AGBvqjy6K1hInIiIiMi8s2IiITMikDoEIcXNBQXkllvx8Suo4D2xPUjoOXcmGo60NlvaNljoOERGR2WHBRkRkQqytrLBxaA8AwIcnk5BbVCpxoobLL6vA2F0JAIAXurRHuHtLaQMRERGZIRZsREQmZkCgFzp7tYJKLTB2VzxUarXUkRpk5v/9DgCwlsmwoGekxGmIiIjMEws2IiITNL9nBADg14zr+ODYBYnT6K+iqgr7Uqq78u/nL4erg53EiYiIiMwTCzYiIhP0WGgA+vl5AgB2XbomcRr9vXnkDIoqVGhuZ4NdY2OkjkNERGS2WLAREZmo2FF9YWMlw+/KGziTe0vqOPV2vbgU7/yn+rEEMzu1RwsHe4kTERERmS8WbEREJsrHxQmDg7wBANEf75U4Tf2UVqrguforzesXu4RKmIaIiMj8sWAjIjJhDwd6aX5fagbd/K87fknz+zePxcDbxUnCNEREROaPBRsRkQl7vksoXO1tAQAbTiShTKWSOJFuBy9nan4f3c5PwiRERESWgQUbEZEJs7GyQtrzY+FsZ4sbJWWI+mivyXbzfzWvEL8rrwMAvh4TA2srfsUQERE9KH6bEhGZOLdm9vhoWPXDtJNvFaDrp/uhFkLiVNpyi0oRuG4XSlVV6OXjgdHteXaNiIioMbBgIyIyA4+HB2Fhr+qHT5/KuYV1f16UOJG2wV/+qPl907AesOHZNSIiokbBb1QiIjOxtG+05vcF8SdRWmka97P9cDkTZ6/f1rwOd28pYRoiIiLLwoKNiMhM2Fpb4bdpjwAASipVeGTHIRRXVEqaSaVWY8j2nwAA3s6OKJo3WdI8REREloYFGxGRGenh44EfJw2Gg401Eq7lYFHCScmynM75C7bLvtC8vjRzNJzsbCXLQ0REZIlYsBERmZmHgxSIHdkHAPDBsYv44NgFo2coLK9Ep0/2a16PbueH5izWiIiIGh0LNiIiMzS6vT+ejm4LAJjz4zEM23EIVUbq7v9WaTmGbv9J01PlV2P6YduovkZZNxERUVPDgo2IyAxZyWT4aFhP9Pb1AAAcSFXijSNnDL5etRB49KtD+M+d561tHNod48MC0czWxuDrJiIiaoostmArLS3F8uXL0bFjRygUCsjlcsjlcoSEhGDy5Mm4fPlyg5edk5OD8PBw5OTkNGJiIiL9yGQy7J8wSPP6rV/P4O1fDFe0qdRq/HPff/C78gYcbKzx3fgBeK5Te4Otj4iIiCy4YJs4cSLS09Oxf/9+ZGZmIicnBzk5OTh16hT+8Y9/oH///sjKytJ7uZWVlZgwYQJSUlJQVlZmgORERPXn6mCHigVT0c/PEwCw+OdTeHTHoUZ/sHZWYQlsl32Bz8+mQgZg0yM9MCKED8cmIiIyNIss2I4fPw6lUon169fD29sbMplMM87JyQlTp07FnDlzsGLFCr2XPX/+fISGhiIsLKwxIxMRNZittRUSpg7FhLAAAMD3qUo4LN+K3zKuN8ryD6VlwfuDrzWvVwzsjKmRwY2ybCIiItLNIgu2xMRExMTEwMqq7s0bNGgQEhMT9Vru119/jSNHjuD9999/wIRERI1v3ZDumt8r1Wr02nIAB1KVD7TM35XX8fCXP2pe+zg74oUuvAySiIjIWCyyYFMqlfDy8tI5jUKhQHp6er2XeeHCBbz66qv45ptv4ODg8KARiYgaXWtHB1QtehILekZohg3bcQiHr2TrfYnkH8rrmLj7Z/T8/IBmWM6cCch4cTwcbNjBCBERkbFY5LduVVUVrK2tdU5jY2MDlUpVr+UVFBRg7Nix2LhxIwICAuqdo7y8HOXl5VrLISIyJCuZDMsGdMLDQQoMiP0BADBwW/W/zna2SPmfMfBwckBeWQVaNrNHQXkFHG1tYGNlBbUQ+PhkMjadSsKpnFtayz3xz+HwbN7M6NtDRETU1JlNwRYbG4vnn39e5zTr1q3DlClTGnW9QghMnz4d48aNwyOPPKLXvMuXL8cbb7zRqHmIiOqjf4AXPn20F7adS0Pc1WwAQGFFJeTvf1Xr9C72tigor6wx/H86tce0qGA85NXKoHmJiIiodmZzSeSUKVOQl5en86euYi0/Px/BwcFISEjQe70rV65EUVERXn/9db3nXbBgAfLz8zU/GRkZei+DiKihpke3xaEp/8Dzne9/z1ltxdoXI/pg/dDu6KJobYh4REREVA9mc4btQbi6uiI1NVXv+eLj47Fhwwb8+eef973Esjb29vawt7fXez4iosa0dkh3rBzUBRtPXMKuS9fQVeEOd0d7LIg/qZnG29kRJZUq3C6rwHfjB7DLfiIiIhNhkQVbfe5PU6lUsNFx47xSqcTUqVOxc+dOtG7Nvy4TkXmzt7HGnG7hmNMtXDNsfq9IANUPxLbR0asuERERScciCzYfHx+cO3dO5zRZWVnw86v7L8hbtmxBfn4+Ro4cWev4GzduoEuXLpg7dy4WLlz4QHmJiKTEYo2IiMh0WWTBFhERgbVr10KtVtf5LLa4uDhERETUOg4AFi1ahEWLFtU5PiAgAKdPn0aLFi0eNC4REREREVGtLPLPqp06dYK/vz9mzpyJzMxMiL89f6ikpASxsbFYvXo1XnvtNQlTEhERERER6WaRBRsAfPnllwgICMCwYcOgUCggl8shl8sRFRWFAwcOID4+HgqFQjN9UlISgoKCkJycXK/lu7u7w9bW1lDxiYiIiIiIIBN/P/1EBlVQUABXV1fk5+fDxcVF6jhERERERCSR+tYGFnuGjYiIiIiIyNyxYCMiIiIiIjJRLNiIiIiIiIhMFAs2IiIiIiIiE8WCjYiIiIiIyESxYCMiIiIiIjJRLNiIiIiIiIhMFAs2IiIiIiIiE8WCjYiIiIiIyESxYCMiIiIiIjJRLNiIiIiIiIhMFAs2IiIiIiIiE8WCjYiIiIiIyESxYCMiIiIiIjJRNlIHaEqEEACAgoICiZMQEREREZGU7tYEd2uEurBgM6LCwkIAgK+vr8RJiIiIiIjIFBQWFsLV1bXO8TJxv5KOGo1arUZWVhacnZ0hk8kkzVJQUABfX19kZGTAxcVF0iyWiO1rWGxfw2L7Ghbb17DYvobF9jU8trFhmVL7CiFQWFgIhUIBK6u671TjGTYjsrKygo+Pj9QxtLi4uEi+s1oytq9hsX0Ni+1rWGxfw2L7Ghbb1/DYxoZlKu2r68zaXex0hIiIiIiIyESxYCMiIiIiIjJRLNiaKHt7eyxZsgT29vZSR7FIbF/DYvsaFtvXsNi+hsX2NSy2r+GxjQ3LHNuXnY4QERERERGZKJ5hIyIiIiIiMlEs2IiIiIiIiEwUCzYiIiIiIiITxYKNiIiIiIjIRLFga0Ly8vIwb948REREwMvLC3K5HHK5HGFhYZg5cyZyc3OljmgyYmNjER0drdVOXl5eCAsLw7///W+oVCrNtP369YO7u7tmutp+5s+fr7X80tJSLF++HB07doRCodBMFxISgsmTJ+Py5cvG3mSjOXz4MBwdHXW2l6+vL7KysjTznDhxAiNGjEBQUJBmGm9vb3Tt2hWbN29GVVVVjfWkpKRg0qRJaNu2rWYehUKBhx56CCtWrEB5ebkxN9uoEhISdLavk5MTtmzZgpSUFDRr1kzntF5eXjhx4oTW8pti2xYVFWHYsGH4+OOPtYYba9/Mzs7Gs88+i9DQUM3nkpeXFyIjIzF//nwUFBQYbNuNpbY2zsvLw/PPP4/AwECt/dLHxwcDBgzAb7/9prUM7tN1q619n3zySbi5uelsr8mTJ2stR6VS4aOPPkKXLl3g7e2tmS4oKAgjR47E6dOna6xbCIGdO3eid+/e8PPz08zj7++Phx9+GAkJCQbeeuO5t51nzpx538/ju/vXkiVL4OrqqnP6vn37aq3PUttWn+MwAIiLi8OgQYMQEBCgdSzRp08f7N69G7X1sWhWxxaCmgSVSiUeeughsXTpUnHz5k2hVqs14/Ly8sT7778v2rRpI4qLiyVMaRri4+NFeHi4SEpKqjEuJydHDB8+XKxZs0YzLCoqSly5ckWvdYwcOVI899xzQqlUar0XRUVFYsuWLcLX11dkZmY2eBtM2bfffiuefPLJek9//PhxERgYKL7//ntRVlamGV5VVSUuXbokRo4cKV5++WWteTIyMoSvr6/Ytm2b1j6tVqtFenq6mDFjhnjsscceeFvM1UsvvSS2bt0qTp06Jfr166fXvE2xbfPz80Xv3r2Fv7+/WL16tWa4sfbNwsJCERQUJNauXSsKCgq05rl+/br417/+Jbp06SKqqqoaecuNp642njZtmpgzZ44oKirSmr6qqkr88ssvIiAgQOuzkvt07epq35EjR4r4+Hi9lvXiiy+KMWPGiJSUFK19rrS0VOzdu1cEBASIU6dOac2zevVq0a9fP3H69GmhUqk0w8vLy0VCQoIIDw8Xe/fubcimmZS62lkXT09PzXHAiy++KD777DO91mmJbavvcdi3334rIiIixC+//CIqKio0wysrK8WJEydE7969xdq1a7WWY27HFizYmohvvvlGjBkzRuc0L7zwgvj3v/9tpESma968eeLDDz+sc/ylS5dE165dNa/1Ldj+/PNP0alTJ50HV6tWrRKzZ8+u9zLNib4F27Bhw3R+2RQVFQk/Pz+Rk5OjGTZr1iytD/N7VVVViaioKHHy5Ml657AkY8eOFfHx8Q06uG1qbVtSUiK6desm3njjDbFkyRKtgzBj7ZvvvfeeeOmll3TmHD58uNi9e3c9tsj06GpjuVwuSkpK6px3/vz5YsOGDZrX3Kdr0tW++hZsWVlZwt/fX+d7smvXLjFixAjN68rKSuHl5SWys7PrnOfEiRMiKiqq3jlMka52rktBQYEIDAzUvNa3YLPUttX3OCw8PFycOXOmzumVSqVQKBRaBa25HVvwksgmIjExEf3799c5zaBBg5CYmGikRKarR48eePjhh+sc7+vri4yMjAYvPzExETExMbCyqvu/H9+L/7rfvuvk5IROnTohKSmp3vNYWVlhwIABTbKNi4uLcfToUfTs2bNB8ze1thVC4KWXXsLrr79eY5yx9k1L//zW1cbz5s1Ds2bN6pz3QT+PAcvfp3W1r74uXbqEzp0763xPBg4cqNVWGRkZmkv/6/LQQw8hOzu7xmVu5qQh7fzdd99h8ODBDV6npbatPsdhlZWVuHnzJiIjI+uc3tvbG56ensjMzNQMM7djCxZsTYRSqYSXl5fOaRQKBdLT042UyHSNGjUKQUFBdY4/d+4cgoODG7x8vhf6yc/PR/PmzXVOc297sY1rp1ar8fzzz+O5556DnZ1dg5bR1NrW0dER48ePr3WcsfZNS29zXW08d+5cnfM+6Ocx0LTbV1/1aStXV1fcunVLr3kAwN3dHTk5OQ+cUSr6tnNmZiaWLl2Kl19+ucHrtNS21ec4LCcnB+7u7vdd5r3/h83t2IIFWxNRVVUFa2trndPY2NiY1V9gpJCZmYlnn30Ws2fP1hq+efNm9O3bF/7+/vD09ISnpycCAgIwaNAg/PDDD1rT8r0A0tLSMGPGDISHh2vdUBwZGYmXX35Z68u+Pu5tL7ZxTSUlJRg3bhwqKiowb948zfAbN25g7ty5iIyM1OoAJywsDE8//TSUSqXWcti2+mmMfZNtXru9e/fi4MGDGD16tNZw7tP6+fbbbzF48GAEBQXB09NT01lD7969sX37dq3OGurTVveq7zyW3Mb3OnnyJGJiYrBixQq0bdtWa1xCQgJGjhyJtm3bat6Pux1hrF+/Xu/PBsCy2vbe4zBDtoEpfRazYCOqByEEPv/8c0RHR2PatGkYO3asZlxUVBSuXbuGNWvW4MKFC8jNzUVubi6Sk5Px1ltv4cUXX6zRk1lTFhAQgPz8fPTo0QNxcXHIzMxETk4OsrOzcfjwYTRr1gwTJ06stUcnapgbN25g4MCBiIyMRGxsLGxsbAAAHh4esLa2ho+PDw4cOID09HTk5OQgJycHv//+Ozp27IihQ4eisrJS4i0g+q/bt29j2rRpmDt3Lvbs2YOWLVtqxnGf1k9YWBiuXr2KpUuX4vTp08jNzUVOTg6uXLmCDRs2YM2aNdixY4fUMS3KwYMHMX78eGzbtg2PPfaY1rh27dohPT0ds2bNwrFjxzT7bnp6OrZv346DBw/ivffekyi5tHQdhzUFLNiaqKSkJAQFBSE5OVnqKCYvOTkZgwcPxqZNm/DDDz/gxRdf1Bq/ZcsWbN26FdHR0XByctIMt7OzQ48ePfDOO+9g48aNdS4/Pz8fwcHBZtv1rr6io6Nx5swZPPXUU5DL5Zp7+WQyGVq3bo233noLWVlZSEtLq3X+d999FyNGjNBrnbGxsejYseMDZzdHQgg88cQTmDZtGpYsWQKZTKYZp1AocPbsWbz88svw8fHRFHJA9WVNs2bNQkBAAI4cOVLn8pty297LWPtmQkICgoODLaIrf30IIbBjxw5ERUWhZcuWOHnyZI37VrhP62fZsmX47rvv0LNnT7i4uGiG29jYIDIyEuvWrcOGDRt0LqNjx47Ytm2bXusdMWIE3n333QZlNmdXrlzBzJkzcejQIXTt2rXG+JkzZ+Lw4cMYPHgwWrZsqfm8tra2Rps2bfDZZ5/pPJ4ALLNt73ccdq9Zs2Zh1qxZeq3D1I8tbO4/CVmidu3a1XlATNWqqqrwzjvvYPPmzXjzzTcxdepUnR2F1CU0NBSrVq2qc7yrqytSU1MfJKpFkclkCA0NxeXLl9GmTZsa4+99pl19TJkyBVOmTGmMeGbnxx9/RFVVFZ555pkGzX/3vRg4cGCt45ty297LWPtmTExMk/vMyMjIwLRp0yCEwP/93/8hPDy8wcviPl1/d9tKl1OnTum93L179zY0kllbuHAh3n77bQQEBDRo/tatW6OiogJlZWVwcHCodRpLatuGHoetX79e73WZ+rEFC7Ymoj7X1KpUKq2/RjZlRUVFmDRpEmxsbHD27Fm0aNGiwctydHRESUmJ5jXfi/u7t83u5972Yhv/1549ezB9+nStM2v64P77YBpj32zqbX7s2DFMmDABCxYswIwZMxq8L9/Ffbr+GtJW96rvPJbexiqVCocPH8YXX3zxQMtxcHDQFGyW3Lb1PQ4zZBuY0mcxL4lsInx8fO7bQ1BWVhb8/PyMlMi0vfLKK/Dx8cGuXbt0FmsFBQVYvHixzmWVlpZqdYHc1N+LTz755L5d3v69zVq0aIGioiKd09/bXk29jf/ujz/+QI8ePWodt2/fPsTFxemcn/tv3Yy1bzblNs/Ly8OYMWOwdetWPPPMM/ct1rhP62fOnDk6xzekrQoKCuDm5qbXPED1vba6uqc3d+fPn0f79u1ha2tb5zSvvfYaysvLdS6nvLxcc3bNktu2vsdhcrkcN2/evO/y7v0/bG7HFizYmoiIiIj7fonFxcUhIiLCSIlMV0pKCg4ePIhVq1bd9+DA3t4eH330kc4OMpKTk7W6p42IiEB8fDzUanWd81jye3H16lWd9+sJIbTa7H77bnFxMU6cOIF27dppht1vHrVajfj4eItt47/LzMyEt7d3reOuX7+OAwcO6Jy/tv2XbVvNWPtmU/78XrVqFSZNmoTevXvXa3ru0/rZtWuXznsh722r9u3b4/jx4zqvgLh3X/Tx8UF2djays7PrnOfUqVOQy+VmdxZIH7o+i+/67bffdPYtcPv2bdjY2GgVbJbYtvoch9nY2MDd3R2nT5+uc5qsrCzk5uZqtb/ZHVs0+qO4ySSpVCrRuXNn8frrr4ubN28KtVqtGZefny/WrFkj2rRpI4qKiiRMaRq++uorMW3atHpPP3z4cLFo0SJRXFysNVytVouzZ8+KiIgIER8frzVu9OjR4plnnhFKpVLrvSguLhZbt24Vvr6+IjMz84G2w1QdO3ZMBAcHi1OnTmltuxBClJSUiOXLl4uYmBjNuJMnT4qAgACxf/9+UVZWppm2qqpKpKSkiFGjRomXXnpJazlKpVL4+vqK2NhYrfdFrVYLpVIpZsyYIcaMGWPArTQdrq6udY67evWq8PX1FQkJCTXei4qKCrFlyxYRGhqq1e5NuW2XLFkiVq9erXltrH2zqKhIBAUFiTVr1oiCggKteW7evCkWL14sOnfuLKqqqhp5i43v3jYeOnSoSEhIqPf83Kd1u7d9X3jhBTF9+nRx69YtrenUarVIS0sTMTEx4vPPP9caN3fuXDFq1CiRkpKitc+VlZWJffv2iYCAAHHy5EmteT744APRp08fcfr0aaFSqTTDKyoqxJEjR0R4eLjYu3dvI26ptO5tZyGqjy2efvppnfOtWrVKPPLII7V+/+fk5Ihx48aJpUuXag23xLbV9zjsu+++Ex06dBC//PKLqKio0AxXqVTi1KlTonfv3mLNmjVa85jbsQULtiYkLy9PvPrqqyI8PFzI5XLh6ekpPD09Rbt27cQzzzwjsrOzpY5oEjZs2CCcnJw07VPbj4+Pj+YD9caNG2LmzJnC399faxovLy/RtWtXsXv37hrrKC0tFcuWLRNRUVFa70VwcLCYOHGiSE1NNfZmG9WePXtEt27dhJeXl1abBQYGimeffVbk5uZqTX/y5EkxfPhwERgYqNW+nTt3Fps2bdL6krorJSVFPP744yI4OFgzj1wuF1FRUWL58uWitLTUWJsrqQ4dOugcf+TIEdG/f3+hUCi03gt/f3/x+OOPi7S0tBrzNNW2XbVqldi8ebPWMGPtm9nZ2eKZZ54R7dq103xmyOVyER4eLubNmyfy8/MNtt3GdG8bd+vWTbRu3Vrn5/GkSZO0lsF9um73tm9xcbFYsGCBCAoKqvH9FRUVJT7++OMaha9KpRKbNm0SnTt31voMDwwMFMOHD69RrAlRfUD7zTffiJ49ewpvb2/NPH5+fmLgwIHi8OHDBt92Y6rts2L37t3iX//6l875VCqVWLFihdb/87v7YmhoqFixYoUoLy/XmscS21bf4zAhhIiLixMDBw4Ufn5+WtP06tVL7Ny5s8Z+LIR5HVvIhODDjoiIiIiIiEwR72EjIiIiIiIyUSzYiIiIiIiITBQLNiIiIiIiIhPFgo2IiIiIiMhEsWAjIiIiIiIyUSzYiIiIiIiITBQLNiIiIiIiIhPFgo2IiIiIiMhEsWAjIiIiIiIyUSzYiIiIzExlZSXKysokzSCEQFFRkaQZiIiaAhZsRERkcrZt2waZTKb3z7JlyzTLmD59Ouzt7XHgwAEJt6RxbdmyBeHh4XB0dMRjjz0maZaPP/4Yzs7O8Pf3x9y5c1FeXi5pHiIiS2UjdQAiIqJ7DRgwAOvWrYMQQmv4jRs38Oabb2L27Nlo27ZtjfkGDx6s+f3nn39GRUUFjh8/jkceecTgmQ3trbfewuuvv44nnngCs2fPxoABAyTN8/jjj6N58+Y4e/Ys1q5di5MnTyIhIQEymUzSXERElkYm7v02JCIiMlGpqalo27Yt4uPjERMTo3PaN998E7t27cKmTZvQvXt34wQ0kPz8fPj6+uLtt9/G7NmzpY5Tw5kzZ9CxY0fExcWhf//+UschIrIovCSSiIgs0uuvv44zZ86YfbEGAPv27YONjQ1mzJghdZRaRUVFYciQIdi2bZvUUYiILA4LNiIiIhOXkZGBDh06oFmzZlJHqVOnTp2gVCqljkFEZHFYsBERkUU6dOgQ2rRpA7VaXWNccHAwfvjhB3zxxReIioqCg4MDZDIZWrVqhVGjRiE1NRUAcPDgQfTs2RPOzs6QyWRwdXVFly5dsGPHjjrXK4TAnj17EBMTAx8fH02HKLa2tggJCcHYsWNx8eJFvbYlKysL7u7udY7/6aefEBQUBLVaje+//x4jRoyAXC6HtbU17O3tERoaismTJ+PKlSt1LmPbtm2IiopCs2bNanTm4unpiUmTJiErK6vO+d3d3XWOJyKihmGnI0REZJGUSiXS0tKgVqthZaX998nLly9j2bJlSExMxKRJk/DEE0/Azs4O6enp+Pzzz9GvXz98+OGHGD16NEaMGIEhQ4agZcuWyMvLw4EDBzBx4kSoVCpMmTKlxnrffPNNLF26FP369cOTTz4JT09PWFlZobKyEpmZmdi3bx+ioqIQFxeHPn361GtbCgsL0bx58zrHZ2Zm4sqVK1iwYAFWr16NIUOGYPr06fDw8IBarYZSqcTOnTsRFhaG48ePIzw8XGv+n3/+GVOmTMHo0aPxxBNPwMHBQTNOCIFLly5h586dmDhxIn7++edaMzg7O6OgoKBe20NERPXHgo2IiJqkxMREXLx4EZ6enlrDn376aYSFhWHUqFH45JNPMG3aNK3xCxcuRL9+/bBy5coaBVtWVhbeffddvPLKK/jf//3fWntMXLZsGQYNGoRXXnkFR48erXfe+vS++P333yMtLQ0+Pj41xr3zzjvo0qULXnvtNezfv19rXGxsLCIjI7Fr16461zNgwACMHTsWmZmZ8Pb2blA+IiLSHy+JJCKiJunu2a97tW/fHl26dEGrVq0wderUGuOtra0xefJknD9/vsbllkePHkVZWRleffXVOgsYOzs7zJ49G8eOHUNeXl6jbMtd69atq7VYAwBHR0fMnDkTCQkJNR6XkJGRgZCQEJ1F17BhwzBv3jy4uLg0amYiItKNBRsRETVJgYGBdY7z8fFBQEBAjUsp/z5epVLhxo0bWsOvXr0KJycneHh46Fx3UFAQAODatWt6ptatR48eOsf7+/ujuLgYN2/e1Bru5uZ23+LRwcEBK1asgLOz84PGJCIiPfCSSCIiapIcHR3rHNesWbP7jgeA0tJSreH5+flo3rz5fXtLLC8vB4AaBd+Dsra21jn+brGVn5+v1YlJnz598MILL2Dbtm3o3r077O3tteZzc3PT2R5ERGQ4LNiIiIgaUW5uLnx9fes17d8795DS008/jcOHD9faicpdISEhWLVqFR599FEjJiMiIhZsREREjcjNzQ1btmy573QODg4m81BvW1tbfPPNN7hy5QouX76MsrIyzTghBPLz87Ft2zaMGzcOSUlJ8PPzkzAtEVHTwoKNiIiokdx9Xpu5noUKDAys896+0aNHw83NDT/99BP++c9/GjkZEVHTxU5HiIiIGklgYCD++usvlJSU6JwuOzsb/v7+SEtLM1Iy3TZu3KjzodoA4OTkBDc3N+Tk5BgpFRERASzYiIiIGk3Xrl1hb2+P9evX65xu06ZNuH79OuRyuZGS6bZy5Up88MEHOqe5ffs2bt68WedjA4iIyDB4SSQREVEj8fHxwWuvvYZ58+YhPj5e8zw3KysrVFVVIT8/H0ePHsWBAwewcOHCeve8aGNjU6NHysY0fvx4rFy5Ejdu3EB0dLSmF0yg+h62wsJC7Nq1C05OThg6dGity6isrISNDQ8riIgaGz9ZiYjIbLRq1QoKhQJeXl73ndbb2xuBgYG1PkutTZs28Pb2rnNef39/ncWHXC6Hh4cHWrRoUWPc0qVLERkZiTVr1mDz5s3IysoCAFhZWcHd3R0hISH47LPP8OSTT953G/6+vmPHjtU5XqFQ1Lmtf+fh4QEPDw+4ublpDX/jjTcAANu3b8dXX32FqqoqrfEtW7ZEZGQkDh48WOcz5q5fv16v94WIiPQjE0IIqUMQERFR3TZu3IiVK1ciNTUVMplM6ji1euqpp1BSUoIdO3ZIHYWIyKLwHjYiIiIT179/f1y5cgWHDh2SOkqtbt++ja+//hoDBgyQOgoRkcXhGTYiIiIzMH78eBw8eBBvvfUWunfvjg4dOsDJyUmyPGq1GufPn8fFixexePFiFBYWIi0tzWQeBk5EZCl4ho2IiMgMfPbZZ5g4cSLmzJmD7t27Y9y4cZLm+fjjjxEZGYkJEyagVatW+PXXX1msEREZAM+wERERmZHi4mIkJSXBxcUFwcHBkuUoKCjA2bNn0a5dO7i7u0uWg4jI0rFgIyIiIiIiMlG8JJKIiIiIiMhEsWAjIiIiIiIyUSzYiIiIiIiITBQLNiIiIiIiIhPFgo2IiIiIiMhEsWAjIiIiIiIyUSzYiIiIiIiITBQLNiIiIiIiIhP1/6VoXzkRp/k9AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "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_status(seq)\n",
    "readout_module.get_acquisition_status(0)\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)\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": "35f84c0f",
   "metadata": {
    "title": "CLEANUP"
   },
   "source": [
    "As expected, we see a sine and sawtooth that are independently sequenced on the outputs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4866d688",
   "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": 35,
   "id": "10a533b5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:12:25.861419Z",
     "iopub.status.busy": "2024-10-17T13:12:25.861023Z",
     "iopub.status.idle": "2024-10-17T13:12:33.189611Z",
     "shell.execute_reply": "2024-10-17T13:12:33.188899Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Snapshot:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4:\n",
      "\tparameter                    value\n",
      "--------------------------------------------------------------------------------\n",
      "in0_gain                      :\t-6 (dB)\n",
      "in0_offset                    :\t0 (V)\n",
      "in1_gain                      :\t-6 (dB)\n",
      "in1_offset                    :\t0 (V)\n",
      "marker0_exp0_config           :\tbypassed \n",
      "marker0_exp1_config           :\tbypassed \n",
      "marker0_exp2_config           :\tbypassed \n",
      "marker0_exp3_config           :\tbypassed \n",
      "marker0_fir_config            :\tbypassed \n",
      "marker0_inv_en                :\tFalse \n",
      "marker1_exp0_config           :\tbypassed \n",
      "marker1_exp1_config           :\tbypassed \n",
      "marker1_exp2_config           :\tbypassed \n",
      "marker1_exp3_config           :\tbypassed \n",
      "marker1_fir_config            :\tbypassed \n",
      "marker1_inv_en                :\tFalse \n",
      "marker2_exp0_config           :\tbypassed \n",
      "marker2_exp1_config           :\tbypassed \n",
      "marker2_exp2_config           :\tbypassed \n",
      "marker2_exp3_config           :\tbypassed \n",
      "marker2_fir_config            :\tbypassed \n",
      "marker2_inv_en                :\tFalse \n",
      "marker3_exp0_config           :\tbypassed \n",
      "marker3_exp1_config           :\tbypassed \n",
      "marker3_exp2_config           :\tbypassed \n",
      "marker3_exp3_config           :\tbypassed \n",
      "marker3_fir_config            :\tbypassed \n",
      "marker3_inv_en                :\tFalse \n",
      "out0_exp0_config              :\tbypassed \n",
      "out0_exp1_config              :\tbypassed \n",
      "out0_exp2_config              :\tbypassed \n",
      "out0_exp3_config              :\tbypassed \n",
      "out0_fir_config               :\tbypassed \n",
      "out0_latency                  :\t0 (s)\n",
      "out0_offset                   :\t0 (V)\n",
      "out1_exp0_config              :\tbypassed \n",
      "out1_exp1_config              :\tbypassed \n",
      "out1_exp2_config              :\tbypassed \n",
      "out1_exp3_config              :\tbypassed \n",
      "out1_fir_config               :\tbypassed \n",
      "out1_latency                  :\t0 (s)\n",
      "out1_offset                   :\t0 (V)\n",
      "present                       :\tTrue \n",
      "scope_acq_avg_mode_en_path0   :\tFalse \n",
      "scope_acq_avg_mode_en_path1   :\tFalse \n",
      "scope_acq_sequencer_select    :\t0 \n",
      "scope_acq_trigger_level_path0 :\t0 \n",
      "scope_acq_trigger_level_path1 :\t0 \n",
      "scope_acq_trigger_mode_path0  :\tsequencer \n",
      "scope_acq_trigger_mode_path1  :\tsequencer \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer0:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t0 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tTrue \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer1:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tI \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t0 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tTrue \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer2:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t1 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer3:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t1 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer4:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t1 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer5:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t1 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, Flags: NONE, Slot flags: NONE\n"
     ]
    }
   ],
   "source": [
    "# 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_status())"
   ]
  }
 ],
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