{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f5fac055",
   "metadata": {},
   "source": [
    "<a href=\"Banner.jpeg\">\n",
    "    <img src=\"Banner.jpeg\" alt=\"image0\" width=\"100%\">\n",
    "</a>\n",
    "\n",
    "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://docs.qblox.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": "07cea9e9",
   "metadata": {
    "title": "PREAMBLE"
   },
   "source": [
    "Setup\n",
    "-----\n",
    "\n",
    "First, we are going to import the required packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a0eda82d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:47.003195Z",
     "iopub.status.busy": "2025-05-07T16:54:47.002483Z",
     "iopub.status.idle": "2025-05-07T16:54:47.858768Z",
     "shell.execute_reply": "2025-05-07T16:54:47.858117Z"
    }
   },
   "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": "665b6d34",
   "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://docs.qblox.com/en/main/api_reference/tools.html#api-pnp) for more info)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bc96fa4",
   "metadata": {},
   "source": [
    "`!qblox-pnp list`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d945cd90",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:47.861683Z",
     "iopub.status.busy": "2025-05-07T16:54:47.861515Z",
     "iopub.status.idle": "2025-05-07T16:54:47.864089Z",
     "shell.execute_reply": "2025-05-07T16:54:47.863719Z"
    }
   },
   "outputs": [],
   "source": [
    "cluster_ip = \"10.10.200.42\"\n",
    "cluster_name = \"cluster0\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e280695",
   "metadata": {},
   "source": [
    "### Connect to Cluster\n",
    "\n",
    "We now make a connection with the Cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "43fca290",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:47.865862Z",
     "iopub.status.busy": "2025-05-07T16:54:47.865721Z",
     "iopub.status.idle": "2025-05-07T16:54:48.703904Z",
     "shell.execute_reply": "2025-05-07T16:54:48.703287Z"
    },
    "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": "d73e4258",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "source": [
    "#### Get connected modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9a9106e5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:48.707291Z",
     "iopub.status.busy": "2025-05-07T16:54:48.707139Z",
     "iopub.status.idle": "2025-05-07T16:54:48.710612Z",
     "shell.execute_reply": "2025-05-07T16:54:48.710222Z"
    }
   },
   "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": "8c7a61cd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:48.713226Z",
     "iopub.status.busy": "2025-05-07T16:54:48.713084Z",
     "iopub.status.idle": "2025-05-07T16:54:48.732508Z",
     "shell.execute_reply": "2025-05-07T16:54:48.732122Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{4: <Module: cluster0_module4 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": "e4e68043",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:48.735807Z",
     "iopub.status.busy": "2025-05-07T16:54:48.735664Z",
     "iopub.status.idle": "2025-05-07T16:54:48.737918Z",
     "shell.execute_reply": "2025-05-07T16:54:48.737536Z"
    },
    "lines_to_next_cell": 0
   },
   "outputs": [],
   "source": [
    "readout_module = modules[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e26022f9",
   "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": "69944873",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:48.740516Z",
     "iopub.status.busy": "2025-05-07T16:54:48.740271Z",
     "iopub.status.idle": "2025-05-07T16:54:51.286613Z",
     "shell.execute_reply": "2025-05-07T16:54:51.285514Z"
    }
   },
   "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": "70108cdd",
   "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": "d7ba888d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:51.290752Z",
     "iopub.status.busy": "2025-05-07T16:54:51.290342Z",
     "iopub.status.idle": "2025-05-07T16:54:51.314159Z",
     "shell.execute_reply": "2025-05-07T16:54:51.312705Z"
    }
   },
   "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": "1165932e",
   "metadata": {},
   "source": [
    "Let's plot the waveforms to see what we have created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "afc93699",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:51.318077Z",
     "iopub.status.busy": "2025-05-07T16:54:51.317663Z",
     "iopub.status.idle": "2025-05-07T16:54:51.631607Z",
     "shell.execute_reply": "2025-05-07T16:54:51.631113Z"
    }
   },
   "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": "d4f262a5",
   "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": "03e368e7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:51.633126Z",
     "iopub.status.busy": "2025-05-07T16:54:51.632969Z",
     "iopub.status.idle": "2025-05-07T16:54:51.635438Z",
     "shell.execute_reply": "2025-05-07T16:54:51.635023Z"
    }
   },
   "outputs": [],
   "source": [
    "# Acquisitions\n",
    "acquisitions = {\"scope\": {\"num_bins\": 1, \"index\": 0}}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf5e4a76",
   "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": "c55301e6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:51.636780Z",
     "iopub.status.busy": "2025-05-07T16:54:51.636639Z",
     "iopub.status.idle": "2025-05-07T16:54:52.176840Z",
     "shell.execute_reply": "2025-05-07T16:54:52.175661Z"
    }
   },
   "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": "57fce33e",
   "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://docs.qblox.com/en/main/cluster/qcm.html), so it has 4 outputs.\n",
    "\n",
    "<img src=\"https://docs.qblox.com/en/main/cluster/figures/QBLOX_MULTIPLEXING_DIAGRAM.svg\" alt=\"drawing\" width=\"1000\"/>\n",
    "-->"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78f1c657",
   "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": "f73187c2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:52.181033Z",
     "iopub.status.busy": "2025-05-07T16:54:52.180638Z",
     "iopub.status.idle": "2025-05-07T16:54:52.445254Z",
     "shell.execute_reply": "2025-05-07T16:54:52.444772Z"
    }
   },
   "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": "173def6e",
   "metadata": {},
   "source": [
    "Let's add the second sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "13535ba2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:52.448494Z",
     "iopub.status.busy": "2025-05-07T16:54:52.448188Z",
     "iopub.status.idle": "2025-05-07T16:54:52.660177Z",
     "shell.execute_reply": "2025-05-07T16:54:52.659704Z"
    }
   },
   "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": "b79b7000",
   "metadata": {},
   "source": [
    "Let's add the third sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "832cc760",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:52.663381Z",
     "iopub.status.busy": "2025-05-07T16:54:52.663237Z",
     "iopub.status.idle": "2025-05-07T16:54:52.881508Z",
     "shell.execute_reply": "2025-05-07T16:54:52.881022Z"
    }
   },
   "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": "3a6b1157",
   "metadata": {},
   "source": [
    "Let's add the fourth sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ee9f0857",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:52.884900Z",
     "iopub.status.busy": "2025-05-07T16:54:52.884616Z",
     "iopub.status.idle": "2025-05-07T16:54:53.108961Z",
     "shell.execute_reply": "2025-05-07T16:54:53.108484Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Db2Yee15/EDP5tIWJ8rfT6V4af/QDdd6bmlms9a9bmZn9L893xRpApSIx+B4dyKD/1zCl2SfTefjn3yxKJSIi56OCTaSAMAMBUu/piufZOwCwN+tIoV8ScV1zu8XJ5Fwcna/BPfyVjIMzSZxpW4Tg0QRrQ+VDpmny2vKNrDl8EoDLyhXn856tGX9125DupxZqhmHwac/WbL7zair9Zarny0s3cO+sZZxK86AJOCIi4UFTIkNIUyLFKubpk6S/NBT/jPEAODpcTcSr32nNSh6Q/vw9mXvj2arVw3nD/TiadcRWrvK/PFP+TUJyKldMmM2GY4kAPN+hMY+0amBtKItsPp7IkOlLztp0+4WOTfhPy/oWphIRyd+0hi0MqWATKwRPHiW17yWYxw8BfzQXefJTjDzW5a6gMgMBghtWkHrPFZCSDIBRshzRU7epQUw2rD50go5fzuK0x0chl4PbLqnBy50vxVGAO6Sapkm/KQuZuGlP5rkhjWrwbtfm2Avwn4uISG7RGjYRAcA39ZOMYs1ux9HjZiL+M1bFWh5i2O3YG7Yg6p3ZODpfi1G0BObRg6SPGoT5x3YMknW+QJAbpiykycfTOO3J2FD65xuv4PUuzQp0sQYZ0yQfblHvrHMfrtnGg3N/I6jvdkVELFOw351E8jn/sjl4P3gKgIjHPiDy6c8wYmItTiUXw96gOZEvf4v78Q8B8M/5Fu9Hz2Kmp1mcLG/5aO02vtq4G4BIh53J13agWbkSFqcKH03KFGd6305cXbNC5rk3Vmzikg9/YMXBYxYmExEpuDQlMoQ0JVJCJZiwB+9nL+H79l0A7I3aEPnOTxgRkRYnk5yQ/tIwfF+9BYARX5Wod+doTVsWzN55kN6T5pPq81O5SCF+vvEKKheNsTpWWHv6l7WM+mUtAIXdTtYN6UmlIvozExHJCZoSKVKApT895M9i7bLORL4/V8VaPuLocn3m7839O0l/7CZMn8/CROFv0uY9dP16Lqk+P1dUKcvWu/qoWMuCh1vWo2R0RrfMJI+PymMns/rQCYtTiYgULCrYRPIR0zRJf2kYgeVzM89FPPsFhtNlYSrJafYGLXBefSv2tldBVCECa38l/anBmMGg1dHCjmmajFm5mRun/kLQNBlQrwpTruuI0663v6yIcDhYdWsPrq1dMfNck4+n8eaKTSzed8TCZCIiBYemRIaQpkRKbvMv+Ym0e64EwFavGVGfLMZw5r+Nf+VP/sUzSRveE/x+XMNexHXj/SrQ/2Lsys3c99NyAK6pVZFv+rRTx8OLEDRNXvh1Pf9dsPqs84fuv57ShdStVETkYmhKpEgBYvq8eCe9T9p93TLPRTz2voq1AsDRuivuEa8B4H3zP6Te2FSNSP4wf88hRs5fBcAdjWswoXdbFWsXyWYYjGxVn5c7XXrW+Tm7DlmUSESk4NA7l0geZ5omacN64HnuTggGMSpUJ/qng9hrXmJ1NAkR5zW3Y5QsB0Bw++9433/S2kBhYNG+I3T88ifOeP20LF+SMVc0x2W3Wx0rTzMMgwdb1OPkA/1pULIoAAN/WMTKhOMWJxMRyd9UsInkccEtawgsnQ2Aa9iLRH+3GVvJshanklAyXG6iPlyAs88QALzj3yC4d5vFqazz7KJ1tB03E4DKRQox58YuWrOWg4pGuvmkR6vM465fzSEhOdXCRCIi+ZvewUTysMDm1aTe0AQAR4ercQ96GEN3EQokW4VquB97H3uzTuDzknpnZwJb1lgdK+Tm7T7E4wszfu5mZYvzWY/WRDm1UXxOa1KmOPMGXAHAiTQPl348jVNpHotTiYjkTyrYRPIoMyWZ9OfuzDx29r3XwjQSDgzDIGL0eIyKNTAP7ye1f2P8i2ZYHStkPlqzjU7jfwKgfcXSLB98FW0rlrY4Vf7VoVIZ3ujSDIBDZ9K4bvICDiSlWJxKRCT/UcEmkgcFjx4kdVBLghtXgstN9LSdOC7rZHUsCQO2YqWI+mQR/LHvXtrQ7gTWL7c4Ve77eXcCQ35cAmRMg/z/zTEkdwxrVoeVg68i0mHn5z2HqPnuFKZu3Wt1LBGRfEUFm0geE9ixgZRuFQnu2AARUUS+Nxdb+SpWx5IwYosrifvuZzOPUwc2J7Bjg4WJcs+ULXtp+dmPdB6fsY6zU6Uy7LznGi4tW9ziZAXHpWWLM/uGLjQrW5xUn5+bvl/E3sQzVscSEck3VLCJ5CGBnZtIu687BAIARDzxEY5GrS1OJeHIddMIIj9amHmcel19vN99aGGinLf1xGlumPoLSw8cA6B28VjeuuIyDMOwOFnB07pCKX4d1I1W5Utyxuun7biZ7D6VbHUsEZF8QQWbSB7hmzGe1OvrYx7eh1GuMtGzE3B27W91LAljjiZtiRg9IfPY88zt+H+dZWGinPXqso2k+wNUjI1m9W092HRnb+qUKGJ1rALLYbPxdtfmGMC+pBQunzAbfzBodSwRkTxPBZtIHhA8uJv0xwdm7LNWrBRR45ZhK1HG6liSBzi79ifyjR8yjz1vPIRpmhYmyhlTtuzlwzUZWxd8fFUrGpUuZnEiAWhYKo4xV14GwM5TyUzZss/iRCIieZ8KNpE8wPvJ8xAMgsNB5PvzsMWVtDqS5CGOdj0o9MspiCpEcMcGvB88bXWkbNl3+gx9v8uY7lm6UCTt1AkyrNxzaW2eaNMQgKcXrSWYD74gEBGxkgo2kTBmpp7B88Ez+P5YexT53s/Yq9axOJXkRUZMEVy3PAKA970n8f+2wNpAFylomtw7azm+YJAIh53pfTvhsOmtLNzcc2ktIhx2NhxLpN77U9l47JTVkURE8iy9y4mEsfT/DsD77hMAOAeMwNGkrcWJJC9z3foozqtvBcDz4n2YaakWJ7owm49nfPiftn0/DpvB0kHdaFJG3SDDUcnoSMZecRmxbiebj5+m6cfT+S3huNWxRETyJBVsImHKTDyB/5dpALgfeA33iFcsTiR5nWEYuO57HqNIMYI7NpByXT2CJ45YHStLTNOk/5SFbD5+msJuJ+92bcElWrcW1m5tVIOtd/WhXYVSpPkDNP1kOqMWrrE6lohInqOCTSRM+WaMh2AQW42GuAYMV6tyyRG2uBIZnSOdLsyDu/G+/ZjVkbLkrZWbWXfkFFFOBxvvuJrbGtWwOpJkQalCkYy/ui32P/79em7x7+xSu38RkQuigk0kzPjmf8+ZLuXwvDwMAGe3Gy1OJPmNo0UXIt+dA4Bvykf4fvzS4kT/7MPV27h/9goAhjatTfnC0RYnkgtRrnA0G+7oRZTTQcA0Gf3r71ZHEhHJU1SwiYQRMyUZz7O3Yx5LAMDR9QacA0ZYnEryI0eTtn82Ifn4ubBt9Z+QnMr9czKKtYdb1OO5Do0tTiQXo1bxIsy9sQsAH6/dzrjfd1icSEQk71DBJhImTJ+X1JtbYJ48CkDEC18T8dyXGHa7xckkv3INHgkRUQR3byH9gT4EtoTX+iKPP8DNPywi1eenebkSvNCxCTZNDc6zWpQvyQ11qwAw6IfFTN++3+JEIiJ5gwo2kTDh/2U6wZ0bAYh860ecV/TVujXJVUahwrgGDAfAP38q6Y/dFDZ32qZt20+5Nycyd/chop0O3u3aXH8f8oEvrm7DrZdUxwSeXrTO6jgiInmCCjaRMGCaJr6v3gLAdcsjONp0sziRFBSuu58h4qnPAAju3Ehg1UJrAwG+QJB7Zy3jRJoHgCnXdVRHyHzCZhiM7tAYp83GyoTjDJn+K4Fg0OpYIiJhTQWbiMXMQID0UbdkfFB2unBee6fVkaQAMQwDZ8+bcfYaDEDakA6kPTnY0kwTNuxiX1IKANvv7sPlVcpamkdyVsnoSO5rWhuAj9Zup/XnMzmUnLf2BBQRCSUVbCIW88/+Bv+0zwFw3f4EtrIVLU4kBZF7xCvY6jUDwP/9p/hXzrckx8Zjp/jPvN8AeLFjE6rFFbYkh+SuVzpfyuc9WwOw7OAxqr/zHTtOJlmcSkQkPKlgE7GQb/5U0h/NaNvv7D8U923/tTiRFFRG4aJEjVuG449tJNKfuR0zLbR3PU6mebhywhyOpKRTrWhM5l0YyX8Mw2Bgg2r82K8zACk+P1d/O8/iVCIi4UkFm4hFgieOkP7EIABs1erhvmOUtYGkwDMMg4hHxmKULIe5fwfpowZhpqWEZOyDSSm0+PRHDiSnUrVoDEsGdSfS6QjJ2GKdbtXKc1P9qgBsPJbI1hOnLU4kIhJ+VLCJWMC/4AdSOpeGM6ex1WpE1ITVGLFxVscSwYgpguuGjE3b/XO+Je2BPrneOfJUmocrvprDtpNJlI+JYtI17SkRHZGrY0r4GNerDV3+WKfY7JPpTNumdv8iIn+lgk0kxEyfl/Tn7sg8dt0+CsPptDCRyNkcPW4GR8b/k4GlswksnZ1rY5mmycAfFrHxWCJlY6JYfHM3dYQsgG5pWA2AJI+P3t/OY5vutImIZFLBJhJivq/HYh4/DIBr0H9wtOthcSKRs9niSlJo7mGc190FgOeNhzD9/lwZa/C0X5m+/QAuu40f+3aiYpFCuTKOhLe+dSpze6MaAARMk2cX/25xIhGR8KGCTSSEArs24xn7KADux97HPewFDJv+Gkr4MWLjcN/zLMQUIbh9PemP3oCZnpajY6w+dILPft8BwHtdW+jOWgFmGAbvd2/J8lu6A/DF+p3cNWNp2GzkLiJiJX1SFAkRMzmR9IevA68He8srcfYZYnUkkX9kxMYR8chYIGM9m2dsznUxPZScSq+JPwPQr05lbrmkeo69tuRdTcsWp37JogC8t3orY1ZuVtEmIgWeCjaREPG89yTBnRsxipchYtRHGIZhdSSRf+XsdiOuoS8A4Jv+OWbqmWy/5vaTSVQeO4kDyak4bAYPNK+b7deU/MEwDL7q3TbzeNjsFXz+x11YEZGCSgWbSAgEE/bim/IRABFPfoKtZDmLE4lknWvggxilK8Dpk6Q/MQgzOfGiXyvV56fDF7PwBIIATOvbiUvLFs+hpJIf1C1RlIPDrs88/njtdgvTiIhYTwWbSC4zPemk3d8D0lKw1bkUe8srrI4kckEMu52I5yeAw4H/58mcaVuUwJY1F/w6vkCQG6Ys5GByxobcdzWpyZVVy+d0XMkHysZEsX/odQAs3n+Uz9fpLpuIFFwq2ERymefdJwhuX48RV5LIV7/TVEjJkxyXtMJ53d2Zx75pn1/w2qIJG3bx/bb92AyDaX078U7XFjkdU/KR8oWjGdQgo93/bT/+ytIDRy1OJCJiDRVsIrkosHUtvnGvABDx+IfYSsdbnEjk4rmHv4Lj8oy7Hr4Jb+J5dUSWn/vy0g0MmrYYgMdaN+Cq6vq7IP/u4x6t6FUjHn/QpMMXs1h+8JjVkUREQk4Fm0guMdNSSH9iEJgmjk7X4Gjf0+pIItliOJ1EjPoYojL2SvNNeJPAxt/+9Xn7Tp/h4Z//vG7IH/ttifwbm2HwWc/WdKpUBk8gSKcvf2LWzgNWxxIRCSkVbCK5wAwGSRt6FcFt6wBw9rvP4kQiOcOIjiH6hx3YGrQA0yRteC/MlOTzXn/kTBoVx0zKPN51zzWULxwdiqiSTxSJcPPtNe2pUDiaFJ+fu2YsI6hW/yJSgKhgE8kF3rcfI/DbAgCcV9+KvUnbf36CSB5iK1aKqLEzMErHYx5LwL/g+/NeO/a3zZm/f6JNQyoXjQlFRMlnika6WX9HLyIddvacPkP5NyeS6vNbHUtEJCRUsInkMP+qX/B+8jwAEU9/rj3XJF8yYorg7HkLAOmP3YR/wQ9/uybF6+OdVVsB+Paa9jzVrlFIM0r+Utjt4sHm9QA4dCaNrzbssjiRiEhoqGATyUGmz4fn1eEAOPsMwdljoMWJRHKP86o///9Of20Epv/sOx5jVm7mZJqHqkVj6F2zQqjjST70dPtGPNwio2gb+9uWC+5UKiKSF6lgE8khps9L+qM3ENy8GmKK4LrraasjieQqW3xVomcngMuNuX8n/hnjMx/7df8RnvxlLZDRFdJu09uN5Iz/tKxPhMPO2iMnuW7yAvzBoNWRRERyld5BRXKIb+I7+OdOAoeDiCc+wla8tNWRRHKdrUQZXHc+BYDnw6cx01LxB4P0n/ILnkCQq2tW4OY/9tISyQlxkW5urFcFgMlb9vKZNtUWkXxOBZtIDjC9HrwfPQeA++ExODtfY3EikdBx9b0Ho0RZzAO7SH/xXl5ftpH9SSkUi3TzRa82WsMpOe6VzpfSsnxJAJ5b/Du+gO6yiUj+pYJNJAf4f/4OM/E4RslyOHvfZnUckZAyogoR8dSnYLPh//5TfvtsLAA3N6hGIZfT4nSSHxWJcDP3xi6Uio5gz+kzfLR2m9WRRERyjQo2kWwKHk3A8/qDADh7DcZwOCxOJBJ6jhZdWHnl7QCM2Poj7csW45n26gopuSfS6eCRlvUBuH/2ClYfOmFxIhGR3KGCTSSbPG//F/NYArYqdXDdNMLqOCKWSPX5uSWqEUmOCOokHeTbhJlEOfXlheSu+5rWpkf1eLyBIE0+nsbMHQesjiQikuNUsIlcJNPvx/P2Y/h/+AyAiKc+xYgpYmkmEau8uGQ9+0wXd116KwDuHz7GTDplcSrJ7+w2G2OvvCzz+L6flqvVv4jkOyrYRC6S9+PRmY1GnDc/hL1eM4sTiVhj2YGjPL1oHQC9htyHrXp98HlJubYegS1rLE4n+V2F2EIsGdQNgJ2nknl/9VaLE4mI5CwVbCIXwfT78X33AQDOG4bhHvqCxYlErPHL3sO0/2IWADfVr8qtjWviHvYSRERhHksg7Z4rMVOSLU4p+V2L8iXpWrUcAHfNXMZvCcctTiQiknNUsIlcBO+Xr2EePYhRpDjuYS9iaFNgKaDG/rYFTyBIlNPB8x0aA+BodSWFZu7DKF8F8+RRvOPfsDakFAij//j/D+Chn38jzee3MI2ISM7Rp0yRC+RfNAPvmJEAuIa+gOFyW5xIxBrHUtL5dvMeAH7qfznlCkdnPmYUKYb77mcA8E1+HzMQsCKiFCCXlC7G+tt74bAZLNh7mFG/rLU6kohIjlDBJnIBgqeOkz5qEASDOHsNxnn1YKsjiVhi8/FEyr05EYBYt5Pm5Uv87RpHp2sgNg7z6EE8z9we6ohSANUrWZR3rmwBwMtLNzBnV4LFiUREsk8Fm8gF8E14E/PUMWzV6uF+9B0Mw7A6kkjImabJoB8W4wsGiXTYeblTUxznmBZsuNxE3P8yAL7vPyGw7fdQR5UC6OaGVSkS4QKgy4TZbDqWaG0gEZFsUsEmkkWBnZvwfvUmAK47ntRUSCmQvIEATyxcw4qE40Q7Hey85xqGNK5x3uudVw/OuNNGxtRIkdzmstt5rXPTzONmn0xX0SYieZoKNpEsMNPTSH/oGkhJxtagBY4OV1sdScQS/b5byLOLM+6U/bd1A8rERP3rc5zX3w2Ab8pHBBP25GY8EQBuuaQ62+/uQ5TTQYrPz+vLN1odSUTkoqlgE8kC7+cvEdy9BaN4aSLf+AHDbrc6kkjIrTtykilb9wHQvVp5HmpRL0vPszftgL1ZJ/B5Sb2jE8GEvbkZUwSAanGF+eH6jgB8tHY7Ly5Zb3EiEZGLo4JN5F/4F83A+/FoANwPvYmtaHGLE4mEXorXx/WTFwBwbe2KTO/X+Zzr1s7FMAzc978EgHlgF6l3d1HXSAmJ9hVLUywyY/r6C0vW4w8GLU4kInLhVLCJ/APTk076EzeDz4u95RU4Lr/O6kgilvh47Xa2nUyiXEwUb3a57IKfb6/dGPdDbwBg7t2G/+fJOZxQ5O/sNhu7770WgMR0L7dO+xXTNC1OJSJyYVSwifwD/5xvMROPY5QsR+Tr36srpBRIp9I8vLh0AwCPt25I2SysWzsX1w3DcN3+BACeV4YT3LM1xzKKnE+M28m1tSsCMG79Tn7Ytt/iRCIiF0YFm8g/8H4zFshomqCukFIQ+YNBBny/iITkVKrHFWZgg6rZej3XoP9gq1wL81gCKTc0wb9sbg4lFTm/J9pckvn7sb9t1l02EclTVLCJnId/zWKCG1aA04Wz921WxxGxxHOLf2fGjgNEOuyMv7otkU5Htl7PiIwi8r2fsV/aHtJS8H74TM4EFfkH9UsWZdvdfbAZBnN3H+L15ZusjiQikmUq2ETOIXj0IJ5n7wDA2eNmbHElLU4kEnoJyamM/jWjhf9HV7WiadmcabhjK1mWiFEfAxBY/QueNx/RHQ/JddXjCvP65Rn7sz0wdyVdxs8mqP/vRCQPUMEm8v+Yp0+SentHgrs2QWwcrjuetDqSiCVeW74RbyBIq/Il6V+3co6+tq18FYzS8QB4P3uR4Ha1XJfcd2/T2lxaphgAc3YnME3r2UQkD1DBJvL/eN57EnPvNozSFYj+YgW2kmWtjiQSUqZp8uTCNby6LGOz4ZGt6udKwx3X7aMyf++b/H6Ov77I/2czDGb0u5yS0REAXP3tPKZu1b6AIhLeVLCJ/EVw3w58k94FIOLJT7DFZ6/Bgkhe9OGabTy1aB0AN9WvSvfq8bkyjqv3rUS89C0Avonv4JurVv+S+0pERzD1uo6Zxy/90QFVRCRcqWAT+QvP+0+C34+95ZU4LutkdRyRkDuZ5uE/81YB8EjL+nzao1WujufofA2OrjcA4Jv0Xq6OJfI/LcqXZN2QngAsPXCMxxestjiRiMj5qWAT+YOZkpy5ma/7rqcsTiMSer5AkBFzVpCY7qV+yaI8274Rdlvuvk0YhoH77oxOkYEVPxPYui5XxxP5nwal4hjdoTGQ0Q11/dFTFicSETk3FWwif/C8Owo86Rjx1bDVbWp1HJGQem/VFiJe+ILPf98JwJtdmuV6sfY/tvJVsLe8AkyTtOG9MM8khWRckZGtGnBt7YqYwB0zlhAIBq2OJCLyNyrYRMjYc803/nUAXP2H5kqDBZFwNmbllswW5690vpQOlcqEdPzI0RMwylbCPLSX9CduxgwEQjq+FFyvdm5KYbeTpQeO8fHa7VbHERH5GxVsUuD55n9P2uA2ADiu6Ier/30WJxIJrc3HE9l0PBGAYyP68UDzeiHPYMTGEfnceHC58c+fivfzl0OeQQqmCrGFeLpdIwBGzFnJ/D2HLE4kInK2HC/YgsGgNkCVPMM0TbzvPJZ57Bow3MI0IqHnDwYZ+P0iAC6vXJbiURGWZbFf0pKIRzO6tHo/eAozJdmyLFKw3NWkJi3LlyTF5+e26UvwBTQ1UkTCR7YLttOnTzNy5EiaNGlCsWLFcDqdREVFsXp1RselRo0a0bFjR2bPnp3tsCI5zfvZSwR3ZLR0jhwzA3u9ZhYnEgmdoGkyfPYKfjt0grhIN293bW51JBw9B2HEVwVPOv5lc6yOIwWEy25nVv/LKREVwa7EZD5csy1zirCIiNWyVbAlJiZSt25d3n33XVq2bMljjz3Gyy+/jMfj4fDhwwA888wzGIbBVVddxeLFi3MktEhOCB7ah3fMSABct/0XR+uuFicSCa0Xl6xn7G9bAHiy7SVUjytscaKMrpGOthnt1n2T3tNaNgmZGLeTh1tkTAe+Z9Yybpiy0OJEIiIZslWwjRo1irS0NLZu3cqYMWMYPnw4ffv2Peuaq666ijlz5lCvXj3eeOON7AwnkqN8Uz4C08TeqA3ue561Oo5ISPX/biGPzs+YCXHvpbW459JaFif6k7PnIHC6CCybg+f5ezTNXkLmriY1KRsTBcA3m/ZoPZuIhIVsFWwLFy7khhtuoFSpUv88iM1Gt27dWLVqVXaGE8kxwb3b8Y7LaGrg7HevxWlEQivJ4+XrTbsBKFMokte7NMMWRp1R7TUaEPHceDAMfJPfJ7BUU+olNKJdTjbc3oveNSsAcMPUXziemm5xKhEp6LJVsO3YsYOKFStm6drixYtnTpMUsZKZkkz6k7eAJx37ZZ1xXH6d1ZFEQsY0Te6csTTzeMMdV+MI0X5rF8J5+bU4b7gfgPTn7yZ48qi1gaTAKBrp5vXLm2E3DA6fSaP5pz9qfzYRsVS23qVTU1OJiorK0rVOpxOv15ud4URyRNoDfQis/RVsNtwPv6U916RA+XL9Lr7amHF3bXDD6sRFui1OdH7uIY9l7M12YBfeDzVtWUKnYpFCjO7QGICdp5IZPO1XNSEREctk+2vVrK4t0BoECQdmciKBlfMAcD/6LvYqtS1OJBI6yw8e444ZSzKPh19Wx8I0/86IjSPi4bcA8M+ZqAYkElIPt6zPfU0z3iPGrd/JN3980SEiEmrZKtji4uJITEzM0rXJyckULVo0O8NdkMTERB5++GHq169PmTJlKF26NKVLl6ZOnTrcddddHDly5F+ff++991K5cuXM55YuXZry5cvTsWNHlixZ8o/Pl/DkmzMJgkFslWriuuZ2q+OIhEwgGGTA1F9I8wcoGxPFyQf6U69k6P5Nvlj2lldAbBzmiSN4P3zG6jhSwDzeuiGFXA4Axm/YZXEaESmoslWwVatWjU2bNmXp2m3btlG1atXsDJdlgUCATp06ER0dzYIFC0hISODw4cMcPnyYpUuXUqtWLVq1akVqaup5X2P48OE4nU42bNiQ+dzDhw+zb98+nn76aW688UYSEhJC8vNIzvCvmIfnhXsAsLe5yuI0IqE1YcNudpxKJtrpYMUt3SkaxlMh/8pwunAPfQEA74fPENi12eJEUpCUiI5g+S0Z7xczdhxg1s4DFicSkYIoWwVb7969mThxIrNmzfrH61auXMlXX33FNddck53hsmzKlClUqlSJUaNGUaxYsbPWKMXGxjJs2DC6devG+++/f97XmDVrFqNHjyY6Ovqs8zabjdatW9OvXz++//77XPsZJGeZyYmk/+d68Hmxt7wS95DHrY4kEjInUtMZNns5AI+2akC5wtH/8ozw4uozBEfH3hAM4n3rEavjSAFTp0QRbm5QFRMYMHURh5LP/2WviEhuyFbBNmLECNq0aUP37t2pV68ePXv2ZOjQoQC88sorXH/99bRo0YIWLVrQvHlzhg8fniOh/8369evp0KHDP17TuXNn1q9ff97HH374YSIjI8/7eHx8PPv377/ojBJa3i9ew0w8ga1ybSJfm4IRE2t1JJGQeXrROk6le2lQsigP/bExcF7jvu95sNvxL/wB3/ypVseRAuaD7i25pFQcJ9I89Jj4M76AukaKSOhkq2BzOp3MmzePSZMm0blzZ2w2GydPnqRdu3aYpkl6ejrNmjXjm2++YcGCBTidzpzK/Y8OHDhAmTJl/vGasmXLsm/fvvM+/m/F5YYNG6hWrdpF5ZPQMn0+fN99AIDrrqcx3BEWJxIJDdM0eXXZBt5amTGN8JXOTXHaw6+Ff1bYKtXE2S/jC8H0kf3xr1lscSIpSFx2O99e054Yl5NVh04wTxtqi0gIOXLiRXr37k3v3r1z4qVyRCAQwG63/+M1DocDv99/Ua//ww8/MGvWLJ577rl/vM7j8eDxeDKPk5KSLmo8yR7vuJcxTxzBKFYKR/teVscRCZlZOw/y4NzfABjUoBqXVylrcaLscd//EsH9Owj8Mo30JwcTPWULRhjuISf5U7W4wvSvW5kP1mzjyq/mMOW6DlxdM2t70YqIZIfe6S7AqVOnGDRoEMOHD2fq1Kn/2vXy+eefJzY2NvNXfHx8iJLK/wS2r8f79mMAuIY8jhGiu7wi4eCDNdsA6Fq1HB9e1dLiNNlnOBxEjh4PMUUw923Hv3Ca1ZGkgOlZ48/38dumL+FEarqFaUSkoCgQBdvWrVupUqUK27Ztu6jnm6bJ119/TcOGDSlatCirV6+mQYMG//q8kSNHcvr06cxfWvMWWmZaKunPDAHTxNHpGlx977E6kkhI/G8q5NStGdO+X+58KY58cifKiI7Bde2dAPjGvWxxGiloulYrz6g2DQE4keahw5c/aUNtEcl1OTIlMtzVrFmTXbsubv+U/fv3M2jQIEzTZObMmdStWzfLz3W73bjdeaN1dn7k/XoMwfXLIaYI7vtfsjqOSMh8vXF35lTIey6tRd0S4b/f2oVw9rsP7xevElj7K4F1S7E3bGF1JCkgbIbBk+0a0bZCaTqN/4n1R0/xW8JxmpUrYXU0EcnHslSwtW3blj179mR7sCpVqrBgwYJsv86/ycr6NL/fj8Pxzz/+ihUr6Nu3LyNHjmTIkCFnbQ8g4c8/40sA3MNexFa+isVpRELj83U7GDQtoyFHrxrxvH55M4sT5TxbybI4ug/A//2neD99gcg3tMWKhFbHymW4rnYlvt28h1eXb+Sr3u2w6TOCiOSSLBVsgwYN+tt0PtM0efrpp+natSvNmp37A4Fpmqxbt44ff/yRyy+/PGT7sJUvX57Dhw//4zUJCQlUqFDhvI8nJibSp08fvv76a1q3bp3TESWXpb/+EMEdG8DhxHn5dVbHEQmJzccTuX3Gkszjt69snme7Qv4b100P4p/2+R9t/r/H2UENhSS0BtSvwreb9zBx0x4uKRXHyFb/vlRCRORiGKZ58ZOvbTYbY8eO5e677/7H67788kvuuOMO1qxZQ40aNS52uCybPHkyX375JVOmTDnvNcOGDaNSpUrnbd//+OOP4/F4eOmlnJtKl5SURGxsLKdPn6Zw4cI59rpyNv+iGaQN7Q6Ae/jLuAY+aHEikdx3MCmF8m99m3n8U//L6VK1nIWJcl/6Gw/j+/xl7M06EvX+z1bHkQLozRWbuH/2Chw2gx/7ds73f+dEJGdltTYIyVevAwYMoEKFCrz8cmgWiF999dUcOHCAUaNGceLECf5akyYlJTFmzBh+/PFHbr/99vO+xqpVq+jevXso4koOMn0+0l+5HwDngBEq1qTAWLT/SObv65csWiA+OLquz/iyMLBiHoHNqy1OIwXR0Ka1ubFeFfxBkz6T5rP60AmrI4lIPhSyuTJdunRh3rx5IRnLbrczd+5c0tLSaNeuHWXLlqV06dKULl2aZs2asWHDBhYvXkx0dDQACxYsoFq1amftk3by5EmuvfbazOed69eNN94Ykp9Hss4/dxLmvu0YRUvgvvNJq+OIhERiuoc7ZyzNPB57xWUWpgkdW9lK2C9tD0DavV0xkxMtzSMFj2EYfNKjFZdXLkuKz88NUxfi8QesjiUi+UzIukSWKVOGI0eO/PuFOSQ2NpaXXnopS1Ma27dvz44dO846t2zZstyKJrnIN+VDAJzX340RHWNxGpHcFzRNen87n9MeHwCf92xN24qlLU4VOhHPf0Xq4NaY+3fi/fRF3EOftzqSFDAuu52v+7SjzntT2HoiiWnb93Nt7UpWxxKRfCRkd9gKFSpEWlpaqIaTAsg3bwqBlfPBZsPZ8xar44iExNiVm1mw988mS50rl7UwTejZipcm4oHXAfBOeIPgkQMWJ5KCKC7Szc0NqgFw3eQFTN68x9pAIpKvZKtgi4mJITk5OUvXpqSkEBOjOx6SO0zTxPveKABcNz+MrWxFixOJ5L6E5FRGzs9Yu/X2lc1J/c8AysZEWZwq9Oxtr8LeqA140vF9PdbqOFJA3VDvz+1jRsxZiTegqZEikjOyVbBVq1aNnTt3ZunaXbt2UaWK9sKSnGeaJt4xjxLcvh7cEbgGPWx1JJGQGDlvFak+Py3Kl+CuJjWJdIZslntYMQwD54CMjr++Hz7FTD5tcSIpiBqWimPujV0A2JeUwjWT5hO8+EbcIiKZslWwdenShQkTJrB9+/Z/vG7btm2MHz+eK664IjvDiZyTf/oXeD99AQDn1bdiFC5qcSKR3Pfl+p2MW78TA3i1c1OMAr5pr6PNVRil4zFPHiX98YFWx5ECqlPlsnx3bQecNhvTtx/g6V/Wko3dk0REgGzuw5aSkkKTJk3Ys2cP3bt3p2LFihQqVCjz8TNnzrBnzx5mzJhBpUqVWLVqVWZnxoJI+7DlPNM0SelVHXP/Tpz9h+Ie8SqGo2DeZZCC471VW7h75jJMYGTL+ozu2MTqSGEhsHk1qQMvA7+fyHdn42h+udWRpIB6ZtE6nli4BoCn2l7CE20vsTaQiISlrNYG2SrYALxeL2+//TYLFy5kz549nD7951SU2NhYKlWqRLt27bj77rtxu93ZGSrPU8GW8wI7N5J6bT1wuSm04ARGZMH9QkAKBm8gQOnXv+FUupdBDarxcY9W2Ar43bW/Sn9pGL6v3sIoW4noSRv0b4JYwh8M8tDc33hjxSbshsEPfTvRrVp5q2OJSJgJWcEmWaeCLWeZpkn6fwfgnzkBe+tuRI350epIIrnqUHIqZd+cCECp6AgODrseuy1kzX7zBPNMEinX1cc8vA/3/S/huvkhqyNJAWWaJoOn/cpnv++gdKFI9tx7LW6H3epYIhJGslob6J1e8qzAql/wz5wANhuuG++3Oo5IrvvfFCuAgQ2qqVg7B6NQYdx3PQWA9/OXMdNSLE4kBZVhGLzXrQXlYqI4fCaNt3/bYnUkEcmj9G4veZJpmni/eBUAx1UDtVZF8r0ftu3jo7UZDZ6eansJz7RrZHGi8OXoNgCjfBXMU8fwqs2/WMjtsPNIy/oAPPTzb8zZlaDOkSJywVSwSZ7k/Xg0gV+mAeDseoPFaURy11cbdnH1xHkADGlUgyfaXqKpVf/AcDhwD3kCAO/7TxLc+8+djEVy0z2X1uK62pUImiZdJszm6V/WWh1JRPKYbK1h+/jjj9m7d2+Wr69YsSK33nrrxQ6X52kNW84w01I4c0V5SE7EefWtuJ/4sMC3NJf860RqOuXf+pZ0f4Cb6lflg+4tiFAn1H9lmiZpd3UhsHwujo59iHx1stWRpADbd/oMFcdMyjxef3sv6pXUFjQiBV1Imo507NiR3bt3n/dxv9/PwYMHMQyD8uXLU7VqVebNm3exw+V5Kthyhve7D/E8cztG+SpEf78dQ+t4JJ9K8ni59OPpbD+ZRP2SRVk7pKc6Ql6AwM6NpF7fAIJBor5Zh71GA6sjSQF2+EwqZd6YmHl8dHg/SkRHWJhIRKwWkqYj8+bNY/fu3ef9tX//fnbu3Em7du1o06ZNgS7WJGeYwSC+P9akuK67W8Wa5Fun0jzc8eNStp9MAuCuJjVVrF0ge9W6ODpdA0D6s7djJidaG0gKtNKForipftXM40lb9lgXRkTylFz/tFu5cmWmTJnC999/z4QJE3J7OMnnfF+PIbj9d4iMxtnrFqvjiOSarl/P4etNGTMY2lUoxZBGNSxOlDe5bnsMIiIJrl+O542HrY4jBdwH3VtwS8NqAPx3/mo2H0+0NpCI5AkhuT0RGxtLjx49+PTTT0MxnORTwb3b8bz1CADu+1/GiI2zOJFIzkv3+2n12QyWHzyeeW5a3844dDf5othrNCDyjYwGRb6pHxPYtMriRFKQRTgcvNK5KdXjCnMq3Uud96YyZPqvVscSkTAXsk8A1atXZ926daEaTvIh7xevgCcd+2WdcV53p9VxRHLFD9v2s+TA0czjmf07E+N2Wpgo73Nc1glHl74QDJI++i6r40gBFxfpZup1HTOPP1q7nQNJ2i9QRM4vZAVbsWLFOHnyZKiGk3wmsO13fNM+B8B123/VFVLypfHrd9L3u4WZx4tv7sqVVctbmCj/cD/8JjgcBDeuJLBbGxiLteqUKMJ/W/3ZBGf8hl0WphGRcBeygs3r9RIRoW5IcuFMn4+0+3uC14OtRkPsTdpZHUkkx3n8AQZNW5x5POW6DrSKL2VhovzFVqwU9ssuB8Dzwj2YPp/FiaSge7ZDYz7q3jLj94vXsXDvYYsTiUi4ClnBtn//fqpUqRKq4SQf8f/0NeahvRhFihP57mzdXZN8J93vJ+KFL/AHM3ZZcdgM2lcsbXGq/Mc18EEwDAIr5uGfO+nfnyCSywY1rEb7iqU54/XT8cuf+GydNnkXkb8LScF24sQJJkyYQOvWrUMxnOQjZuIJPK89AIBzwAhscSUtTiSS81Yf+nO6eMvyJTk+oj9FItwWJsqfHM064hwwAgDfjC8tTiMCdpuNaX07cVP9qgRNk1EL15KN7XFFJJ/K1sbZs2fP5sCBA+d9/MyZM+zbt49x48YBsGnTJooXL36xw+V52jj7wnnHvYLn9YewVa5N1NdrMFz6ECv5y+ydB7niqzmZx7vvvYZKRWIsTJS/BdYuIfWWVgC47nse9+BHLE4kAmk+PyVf/5ozXj8Apx+6gcJul8WpRCS3ZbU2cGRnkHvuuYedO3ee9/GYmBgqVapEv379ePzxxwt0sSYXzkw+jfebtwFwDhiuYk3ypYd+/i3z9/9t1UDFWi6zNWiOo8fN+Kd9jvejZ3FdewdG4aJWx5ICLtLp4Ia6VfhgzTYAvt64m9sb17Q4lYiEi2wVbNu3a6615J70F+/FTNiDUawUziv6WR1HJEclJKdy/+wV/H70VOa5q6qrI2RuM2w2Ip76lNQtawhu/x3P248RMfJtq2OJ8OYVzTjt8fLNpj2MnL+aVvElqVtCXyaISAibjohciMDuLfhnjAcg8tUpGNG66yD5x+pDJyj35kS+3bwHgFLREfx261U0L681mqFgGAbuEa8C4Jv4Dv5lc/7lGSK5L8Lh4L1uLageV5iTaR4eX7DG6kgiEiZUsElY8n74DJgmjva9sDdsYXUckRw1bfv+zN9XjI3mt1t70KSMpoyHkqN5Z5zX3w2Q2dhIxGpFItxMvrYDAFO27qPN5zP4fus+NSIRKeCyVbCNHj06y9Mit23bxujRo7MznBQQwYO78f/0NQCuO0ZZnEYkZ32+bgdP/rIWAANYOqg75QtHW5qpoHLf8yw4nAS3ryewc5PVcUQAqF+yKJdXLgvA4v1HufrbeZl340WkYMpWwfbYY48xZ07WppJMnTqVF198MTvDSQHh/fZdCAaxN78ce61GVscRyTEbj506a3PsVbf1oExMlIWJCjajcFHsLa8AwD/9c4vTiPzpx36debRVg8zjvt8t5NO16hsgUlCFbErknj17qFy5cqiGkzzKTE/DN/VjAFx977U4jUjOOZCUQr33v888blG+BA1KqqGA1ZxX3wZkfFEU3LvN4jQiGZx2G891aMzU6zpmnrt71jJNjRQpoEJSsO3du5fx48fTqVOnUAwneZSZnkbaPVfC6ZMYZSpib9Pd6kgiOcI0Td5auTnzuFeNeJYM6o7dpmXEVnO064GtWj1ISSb1ri6YXo/VkUQy9agRT/NyJQBI9wcyp1OLSMFyQW39t2/fzpdffnnWNzzTpk3j8OHD57w+NTWV/fv3M336dEqWLMkTTzyRvbSSr/m+/4TA6l8AcN/9DIbdbnEikZzxyrKNvLx0AwBxkW7euuIyixPJ/xg2G5FjZ5J6QxPMQ3vx/fglrt63Wh1LBACbYbD0lu5cPv4n5u4+xNOL1tE6vhSXVylrdTQRCSHDvID769999x0PPvhgZsG2d+9eihYtet6duaOjo6lUqRKtWrVi2LBhREUV7LUaWd3NvCAyU5JJubYe5uF9uO57HvfgR6yOJJIj3lqxiWGzV2Qer7q1B43LFLMwkZyL94vX8Lz2AEaF6kR/t1lfGElYWbzvCG3Gzcw8/qZPO66vo2UmInldVmuDCyrY/j+bzcbYsWO5++67L/YlChQVbOfnefMRvJ+9iFG2EtGTNmJEFuziXvK+oGny+II1jP7198xzvwzsSpsKpSxMJedjpp7hTLeKcPokES9+g7PL9VZHEjnLvtNnqDhmEgA14gqzZkhPopwXNFFKRMJMVmuDbC2gKFy4MLGxsdl5CRHMYBDfj18A4B7xqoo1yRc+WL31rGLt5xuvULEWxoyoQrj6DwXA+/FoNXeQsFMhthC7770GgG0nk6g45ls8/oDFqUQkFLJVsB08eJAbb7wxp7JIARVYtRDzWAIUisWhRiOSD7z922bumrkMgEqxhTgyvC8dK5exOJX8G1e/+yAymuC2dQR+nWV1HJG/qVQkhn5/TIU8nurhsk+nk+TxWpxKRHJbtgq26Ght9irZYwaDeD/O2FDdeUU/DJfb4kQi2eMNBHh8wRoAop0ONtzRi5LRkRankqwwYuNwXnsnAJ73n9RdNglL43q1YWTL+gCsO3KKsSu3WJxIRHJblgu2o0ePsnjxYpKSknIzjxQwnjceJrB8LhgGrgHDrY4jki1B0+TeWcs5lZ7xjfee+64l2uW0OJVcCNfABzPusm1YgXfMoyraJOw47Taebt+IFuUz2v3/d8Fq5u85ZHEqEclNWW46UrJkSU6cOEHr1q1ZuHAhAAMHDmTPnj1ZHqxSpUqMGzfuooLmB2o6cjYz+TRnupSF9FTc/xmDq582ypa8a9mBo9w4dRG7EpMBeKx1A55p39jiVHIxvONexfP6gwBEvjkNR9urLE4k8ncJyamUe3Ni5vG1tSsyrmcbItWIRCTPyGptkOW/1UWKFOH48eMUKVIk81zVqlWxX0Dr40qVKmX5Wsn/fD98Cump2CrXxtn3HqvjiGTLC0vWZxZrL3W6lBGX1bE4kVws18AHCB49gG/8G6S/OoLoph3VDEnCTtmYKEZ3aMwHq7ex5/QZJm3eS5fK5RjSuIbV0UQkh2X5Dpvf7+fQoUOUL18ewzByO1e+pDtsfwoeOUBqv0swE0/gfux9XNfcbnUkkYtimia9Js5j2vb9AHzeszUDG1SzOJVkl5mcSMo1dTGPJeC6+xncQx6zOpLIeY1auIanF62jUmwhlgzqRpkYfcEgkhfkeFt/h8NBfHy8ijXJEekjb8BMPIGtWj2cvQZbHUfkoviDQe77aXlmsQZwQ70qFiaSnGLEFMF99zMA+OdOsjiNyD+799LaFIt0s+f0GS79ZDrrjpy0OpKI5KBsdYkUuRiBrWsJrFkEDieRr03FcGi+veQ9/mCQO2cs5e3f/uzQNqhBNRw2/bOaX9jb9QSbjeC2dQQT9lgdR+S8SkRHMPuGLkDG2rZLPvyBvYlnLE4lIjklZJ8svv/+e2rVqhWq4SRMmYknSHswY+NPR/te2OKrWpxI5MKZpkmfb+fz8drtABRyOVh1aw8+7tHK4mSSk2xFi2O/tD0A3vFvWJpF5N80LlOMwQ2rZx5XGjuJH/9y919E8q6QFWxr1qzhzBl921PQeb95G/PALoy4krjvedbqOCIX7IzXR6OPfsicBvna5U1JfngAjcsUw6Yp4/mO65ZHAPBNfp/gMbVOl/D2QfcWvNGlWebxo/NXE9TWFCJ5XpYLtmAweFG/0tLSWLlyJZ9++imtW7fOzZ9Fwpzp8+Kb9C4A7gffwFappsWJRC7cpM17WHfkFAD/bdWA4ZfVtTiR5Cb7ZZ2xNWgBnnS8Hz5jdRyRf2S32RjatDZjrrgMgN+PnqLjF7NI9fktTiYi2ZGlgq1q1ao4nc6L+lWoUCGaN29ObGwsL730Um7/PBLG/HMnYR4/jFGiLI7O11odR+SifLNpDwBdq5bjqXaXWJpFcp9hGJmzAXzfvktg3VKLE4n8M8MwuPePos1tt7Fw3xH6frcAfzBodTQRuUhZ6vbw3nvvkZCQcFEDREREULlyZZo0aXJBe7ZJ/uP96i0AnNfdheF0WpxGJOv8wSBdxs9m/t7Dmeee69AYuxqMFAiOZh1xdL8J/49f4P1mLJENW1gdSeRf3du0Ng1LxdFlwmymbz9A04+nM71vJ8oVjrY6mohcoCzvwybZV5D3YfN9/ynpTw4Gp4voWfuxxZW0OpJIli09cJSWn83IPP5vqwY826GxhYkk1AIbfyN1QFNwuYmevAlbeW3fIHnDmJWbGfrT8szj+QOuoH2lMhYmEpH/yfF92EQuVvBoAunPZmyM7exzu4o1yVMOJKWcVawNrF+VZ9o3sjCRWMFWpwn2ph3A6yH9mdvRd52SV9zRuAbdqpXPPO7w5U+sOnTcwkQicqFUsEmu8y+aDn4/tip1cD/0htVxRLLs+637qPHOd5nHr13elE97tsZQN8gCxzAMIp74CJwuAit+JrDkJ6sjiWSJy27nx36d+azHn43f7p+9Qt0jRfKQHC/Y/tohUsQ0TfwzxgPg6HYjhtYxSh5xMCmF3t/OI80fAOCGulW4u0ktte4vwGzlq+C8/m4AvF+PsTiNyIW5uWE19t53LdFOB4v3H+XJhWtVtInkEdku2I4dO8Z9991HgwYNiImJOatDZExMDA0aNOC+++7j6NGjOZFX8hj/j18SWP0LuNw4r+hndRyRLNl47BTl3/qW/32UWXVrD8b3bovboS8cCjrXdRkFW+DXmQTWL/+Xq0XCS4XYQrx2eVMAnlm8jg5fzNL0XpE8IFtNR44ePUqdOnUwDIObb76ZSpUqERMTk/l4cnIye/bsYdy4cZimycaNGylZsuCuXypoTUdMn5eUa+th7tuO697ncN/6qNWRRP5Vut/P5eNns3h/xpdMP/brfNb6D5G0B/rgnzcFo2wlon/YoZkDkqeYpskNU37h6027Abiqenleu7wZ1ePy/+cSkXCT1dogWwXbnXfeyaRJk9i6dSvFihU773XHjx+ndu3aXHvttbz77rsXO1yeV5AKNtM0SRt6FYHFM6BQYQrN3I9RKH//zJL3Td26lztnLOVISjqQcWetcZnz/9smBZOZfJozV1WGpFNEvDYFZ4errY4kcsHun72cN1dsBsBlt/FFrzZcX6eyxalECpaQdIlcsmQJ/fv3/8diDaB48eL079+fxYsXZ2c4yUMCC6dlFGsOJ5GjJ6hYk7A2a+cBjGc/o/e38zOLtXe7NlexJudkxMTivGogAOmPDySwa7PFiUQu3FNtGzGqTUNalS+JNxBk+JyV2lxbJExlq2DbuXMnFStWzNK1FSpUYPfu3dkZTvIQ7xevAuAaMAJHm+4WpxE5vzSfn2E/rTjrXO+aFbizSS2LEkle4B7yOLbajSElGc8bD1kdR+SCxUa4eLJdI34ecAXFIt0kJKfy8tINVscSkXPIVsGWlpZGZGRklq6NjIwkLS0tO8NJHhHYuDKj0YjNhrPfvVbHETmvQDBIo49+YNvJJADKx0TxVe+2fPqX9tci52IUKUbk81+D3U5g0Y+6yyZ5ltth576mtQF4dP5qOnwxiy3HE60NJSJnyVbBVrhwYU6dOpVTWSQfMAMB0h6+HgBHh97YSqlZg4SnoGny2II1bD2RUax1rVqO/cOup1/dKsRGuCxOJ3mBrWJ1HK0zZhD4vvvQ4jQiF+/xNg15rHUDABbsPUzt96by9cZdFqcSkf/JVsFWsWJFDhw4kFNZJB8Ibl2LmbAHIqKIeEIfYCQ8BYJB7p+9gheWrAdgWLPaTL2+o8WpJC9yXnMHAL7J7xE8mmBxGpGLYzMMnm7XiHE922Se6z/lF+6asRTPH3tRioh1slWwdevWjWnTpmmTbMkUWLUQAHvTDhiFi1qcRuTvNh9P5NrJCxizMmMK26OtGvBK56a41JpdLoK9dVfsl7SC9DR8X71ldRyRi2YYBjc1qMqka9pnnntv9VataxMJA9kq2B5++GEcDgePPPJITuWRPMxMTsQ39WMAHE3aWZxG5GxHU9IYMv1X6rw3lalb9wHw8VWteK5DYxy2bP1TKAWYYRg4B4wAwPvdB7rLJnneNbUr8dutV2UeP75wDffOWsbx1HQLU4kUbNnah+2JJ57g119/ZcGCBVSsWJEWLVpgP8+31Fu3buW3337jxhtvPOt8hQoVePbZZy82Qp6Sn/dhMwMB0u7oRGDVQoxipYiasBpbybJWxxLJdOOUX5jwlzUZnSqVYe6AKyxMJPmF6fOS0rMa5uH92Oo1I2rcMgzDsDqWSLak+vxUHjuJo39sddKodBwLbrqSwm6t8RXJKVmtDRzZGWTfvn0Eg0Hatm0LQELC+b9ZjIqKom3btuzfv/+s8+cr8CRv8c/7LmM6ZHQMkW/PUrEmYSPZ4+PyCT+x/ODxzHO9a1bg9cubWZhK8hPD6SJyzAxS+zcmuGEFwU2rsNe91OpYItkS5XTw2+AeLNx3mBFzVrLm8EmunjiPGf07E+HI1sdHEblA2brDJhcmP99hSxnUiuC6JbhufwL3XU9ZHUcEbyDAnsQz9JuykDWHTwJQoXA0U67rqA2xJVekPXoj/pkTcFzRj8gXvrI6jkiOWX3oBO2/mEWy10ezssV57fKm1IiLpUR0hNXRRPK0rNYGKthCKL8WbMGDu0m5qgrYbETPOoCtRBmrI0kBl+bz03Piz8zdfQiASIedJ9o05JaG1SlVKGt7R4pcqMDWtaT2bwymSdSkDdir1rU6kkiOmbf7EF2/noM38Gejue+v70jPGhUsTCWSt2W1NtBKe8k272cvAWBv0k7Fmlhu+8kkol78MrNYAxjXqw2PtGqgYk1ylb3mJdjbZOzL5v/5O4vTiOSsjpXL8FP/yyke5c4812viPBbsOfQPzxKRnKCCTbLFv2wuvknvAeDsP8ziNFKQmabJy0s3UOOdsz8oV48rTC99Aywh4uzQGwDvh08T3LPV4jQiOat9pTJsu6sPHSqWzjzXafxsfti2z8JUIvlfjkyJXLduHRs2bCAhIYG0tLTzXlehQgUGDRqU3eHyrPw4JTL17isILJ2N89o7ifjvu1bHkQLKHwzS9OPprD1yMvPcY60bMPyyujhtNmLcTgvTSUESPHmM1GtqYyaewFatHlFfrcFQgwbJZ0zTpM57U9ly4nTmuanXdaRXTX05JnIhQrKG7cyZM/Tp04eff/4Z0zSJi4sjMvL8U46qVq3KggULLna4PC+/FWyBretI7XdJxtq1H3ZgK1fZ6khSQC3ce5j2X8zKPK5aNIZVt/YgNkLtpyX0Ajs2kHpzC0g9g+PK/kSMHq82/5LvJKZ7SEhOY9js5ZlT0J9t34j/tm5ocTKRvCMkBdvQoUN55513eOedd7jpppv+sViT/FewpT02EP+PX+Do0pfIF7+2Oo4UQPfMXMY7q7acde7RVg14rkNjixKJZPDN+pr0kf0BiJq0EXvVOhYnEskdp9I81Hx3Csf+2Fi7kMvBs+0bc3ujGkQ6dXdZ5J+EpOnI7NmzGTRoELfffruKtQLGv+AH/D9+AYBr4IMWp5GCxjRNvvh959+KtWl9O6lYk7DgvLIf9mYdATL2qBTJp4pGujk8vC9t4ksBcMbr5/7ZKyj9xjdsOHrK4nQi+UO2CrZdu3ZRr169nMoieURw73bSHuwDgP2yztogVkLq/VVbsT33OQN/WJR5rk7xIkzr24nu1cpbmEzkbPYm7QHwz/sO7aAj+ZnNMPixX2eeadco81ySx0fHL3/C4w9YmEwkf8hWweb3+7Hb7TmVRfII7/jXIRDAVrUukS9/a3UcKQC8gQDTt+/n6427uHPm0rMeG9myPhvu6MVV1eO1TkjCiqNdT7DZCCyfi//7T62OI5KrYtxOHmvTkLRHBvBQi4wv84+lpvOfeb8xY8cBjqWkW5xQJO/KVsFWsmRJDh48mFNZJA8InjyG74eMDx7uR8ZixBSxNpDke8E/2vX3+OZn+k/5JfP8qDYNmXxtBx5v01CFmoQle82GuG4fBYDn4+cwfT6LE4nkvgiHg5c6XcqTbS8B4M0Vm+n+9Vz6frfA0lwieVm2CrYuXbrw448/EgjodndB4Zv4NnjSsdVugr1JO6vjSD7mDQR44dffiXtlAo8tWJN5vk+tinhG3sST7RrRp1ZFLWqXsObqew84XZgHdpH24DVWxxEJmf+2bsDIlvUzj+fvPUzLz35kT2KyhalE8qZsdYk8evQoHTp0ID4+nvvvv59KlSoRFRV13uuLFCmSL7ojXqy83iXSTDpFSq/qmIkniHjha5xX9LU6kuRjry3byANzV5517ooqZfmmT3u165c8xfvdR3ieGQJA9NRt2CpWtziRSOgs2HOIobNXsP6PBiRlY6IYe8VlNC9XgjIx5//MKFIQhKStP8BXX33FTTfdlKUF1SVLluTQoUPZGS5Py+sFW+rQqwgs+hEjvirR323RZrCSKyZt3sOuU8k89+vvJHn+nELWrGxxlg++ysJkIhcv9Z4rCSz5CdftT+C+6ymr44iElDcQYN6eQ4yYs5LNx//cbLtR6TjiItzc1aQm19SuZF1AEYuEpGCbMGECN910E61ateKGG26gfPny/9jev1SpUgW6q2ReLtiCCXtJ6V4JDIOoCauw12r0r88RuRBbjifS/otZHPnLwvRop4NHWtanZ4144gtHUzTSbWFCkYuXuS9bocJET9mKrXhpqyOJhFxCcir9vlvIov1H/vZY8L83az2yFDghKdgaN25MVFQUixYt0l+yLMjLBZvnw2fxvvM49kvbE/XhfKvjSD6T7vdT+92p7Dl9JvPc/c3q8HibhsSpSJN8wAwGSb3xUoJb1mCrfxlRny/V+6YUSKZpciLNw5AflzB1677M8xEOOysGX0XdEkWw6e+GFBAh2Th769atdO3aVW86+VwwYS/eT0YD4Ox5i8VpJL84lJzKlC17eW/VFsq+MTGzWGtcuhgnH+jP612aqViTfMOw2Yh84RtwRxBcv5zghhVWRxKxhGEYFI+KYMp1Hfmqd9vM8+n+AA0++J77Z68gxauOqiJ/la2CLS0tjSJFiuRQFAlXvmmfQ3oa9kta4eg+wOo4kg/sP51C809/pM+k+dw1cxmn0r0APNOuEatu66Gpj5Iv2SpWx9GhNwC+mRMsTiNivX51q7Dlrt6Uio7IPDdm5WbKv/UtX/y+E38waGE6kfCRrYKtSJEinDp1KqeySBgK7NqM94OMBfLOPrdj2LL1v4wUYIFgkHS/n4/WbKP2e1PYl5QCQJTTwZBGNTg47Hoea9PQ4pQiucvZLeNLL9+UjwgeTbA4jYj1ahaL5eCw63m89Z///iemexn4wyKunTSfzccTrQsnEiaytYatZ8+eOBwOvvvuu5zMlG/lxTVsKQOaEdy4EqNoCaK/344RE2t1JMmDPP4ArT6fwapDJzLPlSkUyYSr23Jp2eIUcjktTCcSOqZpkjqoFcHfl+LsM4SIxz+wOpJI2PAGAmw8lsiLS9bzzaY9meff6dqcu5rUsi6YSC4JSdOR7du3065dO5577jluuUVrm/5NXivYgvt3ktKzGgBRX6/FXlN3PyTrTNPkvdVbeWbROg6dSTvrMYfNYNWtPWhQKs6idCLW8a/9lbRbWoPNRvTMfdhKlrM6kkjYmb/nEC8t3cCsnQcBKOx2cnujGgxsUI36JYtanE4kZ4SkYBs4cCArVqxg+/btxMXFUbFixX/cOLtSpUqMGzfuYofL8/JaweZ5+zG8Hz2H/bLORL03x+o4koccTEqh/Fvf/u18lSIxfNW7LeVioihXONqCZCLhIeXmlgR/X4r70XdxXXen1XFEwpJpmvSaOI9p2/efdb5+yaJ0rFSaG+pWoVm5EhalE8m+rNYG2dr5uEqVKtjtdlq0aJGl6ytWrJid4SSEgkcO4P3mbQCc191lcRrJS/YkJtPpy9l/Oz+qTUMea9MQh9ZBiuBo1xPv70vxz/4G57V3qNuyyDkYhsGE3m25d9YyTqR5MDCYtfMg64+eYv3RU3z++05W3dqDKkVjrI4qkquydYdNLkxeusOWeuflBJbPxVa9PlFfrcGw262OJGHqyJk0un09l3olinBF1XLcOWMpyX+0ZK5WNIbbG9ekXokidK1W3uKkIuEjuH8nKX1qgd9PxLNf4FQHXpEsOZScSs+JP/PbX9ZENyhZlHe6NqdVfCkLk4lcuJBMiZQLk1cKNjM5kTPti0EwSNSkDdir1rU6koSpz9ftYNC0xed8rGR0BFvu7K0W/SLn4fnwWbzvPA6FYon+bjO2EmWsjiSSJwRNk9t/XMLHa7efdf76OpUoFxPFXU1qUT0ufD9nifxPSKZESv7kXzEPgkFslWupWJO/8QWCzNmdwIGkFO6csfSsx2yGwWOtGzCyVX1MEyKd+idG5HxctzyCf8H3BDf9hvf9J4l47H2rI4nkCTbD4Jl2jUj3Bxi/YVfm+Yl/dJZ8ffkmhjSqwfvdWmi6seQLusMWQuF0h800TfCkY0REnn3e5yP15hYEN6/CecMwIh56w5qAEjZM0+REmof1R09xMDmVV5ZtYN2RP/df7FunEmOvbE6K10+U00GJv2yAKiL/zL9mMWmD24DdTtTE9dir1LY6kkiecsbr43hqOvfPXsH3285uTlIxNppqRQvzn5b16VCpNDbDwKYCTsJISKdErlq1isWLF7Nnzx5Onz593usqVqzIqFGjsjtcnhUuBZt/xTw8r47A3qgN7v+8RXDzanBHYkRGE1i3hPRHb4DCRYn+dgO2kmUtyynWCQSDzN9zmAkbd/Hr/qNsO5l0zutuu6Q673VrgV2NREQuWtrwq/Ev+B7H5dcR+dJEq+OI5EmmaTJl6z5qF4/lvVVbeWvl5r9d075iaWb270wgaLL9ZBKXlC5mQVKRP4VkSmQwGGTQoEGMHz+emJgYSpUqxY4dO6hVqxZxcXH4/X7WrFmDz+fj0ksvxe/3Z2c4ySmmSXDbuoxfe7cSWPb3lv2u6+9RsVZAHUpO5dJPppOQnHrOx5uVLc5313Yg3R+gqtYIiGSb6+5n8C/4Hv/Pkwnu24GtQjWrI4nkOYZh0KdWRjfyN7o049ZLqnPa4+Prjbt5d9UWTGDB3sNEvvAlhVwOznj9fNCtJUMa17A2uEgWZOsO2/vvv89dd93FBx98wODBg0lISKBChQpMnz6dbt26AXDy5EkGDx5MSkoKP/30E7YQfBOfmJjI6NGjmTlzJsePH+d/P2JcXBzt2rXjySefpFSpf+4ktGrVKp566ik2bNhAamrGB1e73U65cuW4/fbbueWWW7BfYOfEcLnDZpomqf0bE9y69twXREQSPWkjtnKVQ5pLrOHxB/h6424Avtq4i592JWQ+VjE2mm7VyvNs+8aYpsnkLXu5rnYlNRIRyWGp93Yj8OtM7M06EvneXK27EclBCcmpfLhmG88sWkfgLx97S0ZHsPnO3gB8sX4nl5UtTvPyJa2KKQVQSKZEtmzZklKlSjFlyhQADh48SHx8/FkFG0BqairlypXj+eef5847c3eD0EAgQLNmzejZsyf33nsvcXFxmW98p0+f5rPPPmPMmDH8/vvv593ke9WqVVx33XWMHTuWTp064XZnfDgNBoNs376d//znP1SrVo1XXnnlgrKFS8EG4F+9CM8bDxHcvh5b9fq473+Z4OZVGCXLYa9zqYq1AmDWzgMM+mExR1LSz/n4/AFX0L6SutaJhEJw3w5Srq8PnnSiPluCvWHW9jcVkazzBYJsPJaxHvvumcvYl5RC/ZJFOZXm4cAfs0re7NKMWxpWJ9nro2zMuT8niuSUkBRspUqV4p577uGJJ54Azl+wAQwaNIhdu3bxyy+/XOxwWTJp0iS++uorJk+efN5rhg4dSuXKlRk+fPg5H7/qqqu444476NGjxzkfT0lJoU6dOqxYseJf79T9VTgVbP9jmqa+yS0A9p0+w+0/LmH9sUR61YinZrFY3vltyznXpjUuXYxPe7SiQak4C5KKFFxpTwzCP+1zHFcNJPKZz62OI5KvrTh4jE7jf+KM9/zLda6uWYEPu7ekeJSaaUnuCMkatmPHjlGsWNYWbFauXJnp06dnZ7gsWb9+PR06dPjHazp37szUqVMv+jWio6Np0qQJW7duvaCCLRypWMuflh88xnurtuINBNlw7BS/H/2zq+O7q7Zm/r6Qy8EDl9WlXEw0tYrH0qxscVx2m/6/ELGA69o78U/7HP/M8QQGj8ReuZbVkUTyrWblSrDznmv4auNuTqV5eLBFPe6csfSsbQKmbt3H1K376FKlLA9cVpcmZYpRJMKlRlsSciHbJCkuLo5Tp079+4XZdODAARo0aPCP15QtW5Z9+/ad9/HTp09TqFChbL2GSG4zTRNvIMiSA0epEVeY4lER+IJBxqzczKPzV//tegOILxxNmZhIKsfGYDMMrq9TiV41K4Q+vIj8jb1BcxzteuJf+APeMSOJfG2K1ZFE8rWS0ZEMa1Yn8/idrs1x2mysPHSc+y6tzesrNrL1RBKzdyUw+4/13RVjo4l1u7ikVBzPdWhM+cLRmc/3BYI47SrmJOdlq2CLi4sjKenvU6rONcsyVN/YBwKBf20G4nA4st2xMiuv4fF48Hg8mcfn+rMSuRhbjicycv5qpm799y8N2lUoRcdKZbimdkXqligagnQicrFcQ1/Av2g6/vlTCWxdi73mJVZHEikwCrtdfNqzdeZxn1oVuXbyfH7ZdyTz3N7TKUAKvx89xRfrd1K1aAyNShfjVLqHBXsP886VLbi1UfXM/d4CwaDuyEm2ZatgK1euHNu2bcs8Ll68OMA576QlJiZmPl5QPP/88zz11FNWx5A8Jt3vZ8Hew5SPiSZgmry7agvbTyZzX9NapPkCDJ29nOOpnn98jWpFYxh7ZXOalytBbIQrRMlFJLvsVWrj6Hwt/tkT8U3+APuj71gdSaTAKhEdwcKBXQE4mebhYHIqX67fydzdh0jz+9l8/DQ7TiWz41Ry5nNun7GE22csoU18KfYnpXA8LZ33u7Wkf93KWm4gFy1bBVvPnj0ZM2YM999/Pw0bNsTtdlO1alVmzZrFgAEDzrr2p59+olat0M/H37p1K127dmXWrFnUqHFxe2288MILLFmyhB9++OGCnjdy5EhGjBiReZyUlER8fPxFZZD8Y//pFBw2gzIxUexNPMMP2/ezMuE4b1/ZnF8PHKHrV3PP+bx5ew797Vx84Wje69aCCoWjiXDYsf/xZlC5aEyu/gwiknucvW/LKNi++wBHxz44mne2OpJIgRcX6SYu0s2LnS7NPLf/dAobj59i1aETpPsDPLv498zHFu3/867cjVN/4capv9CifAlurl+NRqXjWHP4JHVLFCG+cDRpfj/V4wpjMwwVdXJO2SrYhg0bxpQpU2jcuDG33HILH330EU888QQ333wze/fupWnTpgSDQRYtWsSaNWuYM+fvGzTntpo1a7Jr165/v/AfPPLIIxf1PLfbnbklgOR/byzfyObjp7mzSU0uKRVHis/P7sQzrDp0nMali3Eq3cvI+atYeuAYEQ477SuWZtbOg5nP/2L9ziyPVSo6gs96tqZLlXKZ0y5EJH+wX9YZR/cB+H/8kvTn7yZ60kYMp9PqWCLy/8THRhMfG82VVcsD0K9uZWbvSiDVl7Fk5tf9R5n5l/f5pQeOsfTAsfO+Xo24wtzeuAZDGtXAZbeRkJxGFX0BK2SzYCtevDhLly5l+vTpmRti33TTTZQuXZp3332XefPmYbfbqVatGu+88w6XXXZZjoT+J1lZW+b3+3E4stdvJSdeQ/KmU2kepmzdR7+6lTmV5qFsTBRrDp9k+JyVAHywJmOacJTTkfmP9v+X7g+cVaz9fx9f1YriUW7eX72N/7ZqQINSRVm8/whVisRQPS6j7au+hRPJnwzDIGLkO6Qs+Qlz33Z8Uz7Edf3dVscSkX9Rt0TRv60VP5Xm4d5ZyykS4aJElJtnFv9O8Dw7am07mcSDc3/jyV/WcsbrxwBevbwpR1PS+Xrjbi4tW4xhTetQIjqCDUdPcXXNClofV0Bkax+2cPTkk09SvHhx7r333vNe88MPPzB16lQ++eSTcz5eqVIlNmzY8I+dIvv06cP9999P27Zts5wtHPdhK6iWHzzGmsMnWHvkJM+0a0yJ6Iw9VoKmyavLNrL84DF6VI/n96OneH/1VoKmSbOyxelarTwj563ir39pKsZG/7EIOet61YinTKEokjw+dp9Opn6Jony9aTfp/gALb7qS5uVL5uBPKyJ5kXfiO3ievwcjriTRM/ZiuLUXlEhe5w0EOJScxuxdCXz6+3Yqx8ZQs1hhTnt8nEr38OX6XfiCwSy/XtmYKG6sV4Xm5UqQ5vOz/tgpZu44yEdXtaJp2YzeEQeTUihdKBKAE2keSkZHEggGOe3xERdZsGaCmV4P/oU/4Lz8OqujACHaODscTZ48mS+//JIpU87fDnnYsGFUqlTpvBtn9+jRg9tuu41evXqd8/H8tHH2P/kt4ThRTgd1ShQ563yK10e068/pOel+P267/bx3fALBIGe8fmIjXARNE28gQMQ57k6eTvcSG+HiyJk0Nh5LpEiEi89+30G1ojH0qVWR8oWj2X86hfdXb6VIhIsUn5+pW/ex9shJ6pcsSt3iRUjy+ihbKJIzXj8L9h3GACrERpPk8XF1jQo0KVOMaycvOGvcQi4HN9StQpLHx57TZ1h28PzTFf7NA83rsu7ISX7df5RxvdpQp3gRAqaJ/48/g9bxJUn3B4h0/v3nN00Tz3n+bESk4DF9PlJ6VsM8vI+IUR/jvHqw1ZFEJJclJKcyc8cBpm3fz/fb9p/1WMNSRdl+Mvm8s3f+v46VyuANBFi8/+hZ5yvGRhMImhxJSefuS2tSyOlkf1IKpQpFMqRRDSoXKYTHH8j8rHcyzcOpNA8loiMo7HaR6vMT5XSw61QyB5JSaFux9Fmvn+L1EeV0YAIzdhygTXypsGiAFjxxhLR7uxLcsoaIVybj7NTH6kgFt2ALBAI0b96cbt26MXToUOLi4jILiaSkJD7//HPefPNN1q1bR3R09DlfY82aNfTp04exY8fSuXPnzHVowWCQXbt28dBDD1GlShVeffXVC8oWjgXbqTQPSw8e45JScRxLTWfsys2k+QOsP/rnZsuVixSiZrFYahYrzOTNezmQnIrbbqN/3So80LwubcfNpFxMFLc0rM6B5BS6VClL49LFGPf7TiZt2cPyg8cBqF+yKOv/eM0Yl5OiES5cdht961RmzZGTzNhxgF414lly4BjHUtPPylmtaAy9albgozXbOO3x5eqfic0wuKxccdYcPkm6P/C3xwu5HNQsFkvbCqVISE5l0ua9BEyTWxpW45XOTSnsdpLq81PYbf0/TiKSt3nHvYLn9YewVa9P1DfrNBVapAD5/chJbIZB7eKxeAJBopwO0v1+Zu9KYPPx05imictuZ+Lm3ZmftQq5HJzxZm/rqr+yGwYmGTOQIh12CrudHEk5+zPaHY1r0Dq+FBVjCxEIBun17TyS/vJZrUZcYfrUqognEKBFuZI0KVOM+MLRnEhLJy7STdA0iXA48AWCGEbGDYOAaVIxthBHU9KpUawwLrsNAwMTE18gyM97DtGiXElKREfw+bodeANBhjTOaC54IjWdrSeSaFG+BF9t3M3x1HTua1qbtJeGEfh6DBQuSuToCThaXZljf04Xq8AWbJCx8fVzzz3HjBkzOHHiROa+cEWKFKFdu3Y89dRTlC6d8W3AggULuO2221i9evVZf1Br1qxh1KhRbNiwgdTUVABsNhvlypVjyJAh3Hrrrf+639v/F04F26Zjiby+fCMfrd1uaY7sal+xNAv2ZtxJu6l+VebvPUx84WiWHDhKpMPOQy3q8fZvWziRdnYb/Lua1KRNfCmKRbpZdfgE208mUatYLIVcTjpVLkPNYrGc8frwBYIU/WO6gGmanEjzUDzq7GlJp9O9OGzGWXcdRURygpl0ijNXlIf0VCLf/xlHs45WRxKRMHT4TCqloiMxDIMzXh+bjiWy6vAJfIEgl5YpztzdCZz2+Hhn1RbS/QEG1q9KXKSb3YnJrD+ayK7E5H8fJBddzPKSuEg3z7ZvxN0zlwHQtWo5ahaL5cM120jx+WkTXyqzW2fz49uYvfB5AD4e8BKt+9/CpWWt326sQBds4SpcCraJm3Zz8w+Lz3n3CDLmQ7vtNrpUKcsNdavw3wWr2Z14hqpFY9h5KpnShSI5lpLOvqQ//2LVK1GEZK/vrL9slWILUbNYYbaeSGJIoxrYDPh+2342HU+ke7XyDG1am7VHTvLA3N+wGwZPtbuE34+coniUm6Zli7PvdArX1a7Eb4eOc8+sZbSOL8VN9atSo1hhenzzMwPrV+XBFvX4euNurqlV8azb7f5gkNPpXopFRZDq8xMImsS4nRxISiEu0k3UOaYkioiEo/Tn78E38R3sbXsQ9eaFbS8jIvJXaw6fICE5le7Vz95m6mhKGkdT0vlxxwE2H0/kQFIqP/+xndCLHZsw/LK6jFq4htWHT/DrgaOc8fppXq4EG46domJsIUpFR7Lm8AmSvT6KR0XQoGRRZu9KyHz96nGFOZKSdtadt3/itNkuaC3fP7GZQbb+OJxSniS2FSpNsy7PMb5Pe/rVrZIjr58dKtjCULgUbOuOnOSSDzPe9O2GwaKbuzJp815OpXsY2apBZhfCfxIIBhm/YRezdyVQPMrNq52bZnYqMk2TTccTqVwkJkuF0YnUdIImmY0/RETkT8E9W0npXQsMg+ip27BVqGZ1JBEpAALBYMYMpOJFLur5P27fT9EINy3jMxqpnfH6OJnmYdPxRHYnnqFvncrsT0ph2YFjpPr9HDqTxr7TZxjcsDo1i8Uya+dBDAPKF47myJk0Hvr5N6oUjeGORjUoVSiSHt/8DECHiqWpVTyWd1dtBaB3zQp0rFSG+XsPU7d4EWod2kSPlzL2hx4xfDLlK1XhmloVqVey6LmDh5AKtjAULgUbZHzDUqFwNCfTvVkq0ERExDqp93UnsHgGjiv7E/Hclxhq5S0iBdyULXsp5HJyeZWyACzce5g9iWcY2KDqWet90197EN8Xr5LW4RpKvjbJqrjnpIItDIVTwSYiInmHf8U80u7oBIDrrqdx3/64xYlERMKfmZbCmSvjIekUka9/j6N9T6sjnSWrtYG+ohMREQlzjmYdcY/I6Ezs/fQFgieP/sszRETEN2M8JJ3CKF8Fe5vuVse5aCrYRERE8gDngOHYajeB9FR8P3xmdRwRkbBmmia+r94CwNX3XowL7O4eTnKkYPP5fKxfv55p06bxySefMGHCBDyejDbqv/76K3v37s2JYURERAoswzBwXncXAL5v38VMT7M4kYhI+Aosn0tw50aIjMbZa7DVcbIl2wXbxIkTqV69Opdccgm9evXitttu46abbmLhwoUADBkyhCpVqjBw4ED8/pzbyE9ERKSgcV7RF6N4GcyEPXg/fs7qOCIiYSl4YBfp/83oDOnsOQgjJtbiRNmTrYJt+fLl9O/fn5YtW7JixQpOnDjB3r17MU0zszhbs2YNH3/8MV9//TXvv/9+joQWEREpiIyoQrgfzpji45v8AabPa3EiEZHw4/nwGcyTRzHKV8E1+FGr42Rbtgq2Z555hiZNmjBhwgSaNGlC0aJFsf2/VsNut5tBgwbRu3dvvvjii2yFFRERKegcHa7OuMt26hj+n76xOo6ISFgJ7NiAf8Z4ACJHT8BWsqzFibIvWwXb5s2b6dy5c5aubdiwIbt3787OcCIiIgWe4XDg7HcfAJ63H8NMPWNxIhGR8OF5ZTj4fdjb9sBe/zKr4+SIbBVse/fupUyZMlm6NiYmhuPHj2dnOBEREQFcNwzDKF0B8/A+PG8/ZnUcEZGwYCaeILByHgARD75ucZqck62CLRgMYs9ii8z/P1VSRERELo4RGUXEYxnrwn2T3tO+bCIigG/+VAgGsVVvgC2+qtVxcky2qiibzUYgEMjStYFAAMMwsjOciIiI/MHe8gps9ZqB14NXd9lEpIAzkxPxjs1oMOK4oq/FaXJWtgq2+Ph4EhISsnTtsWPHiI+Pz85wIiIi8gfDMHAPexEA33cf4nlrpMWJRESs4534LubJo9gq1cQ1YITVcXJUtgq2WrVqMXfuXEzT/NdrFyxYQM2aNbMznIiIiPyF49L2uO4dDYD3y9fUgERECiQz9Qy+r94EwDX4UQx3hMWJcla2CraRI0eyatUqbrzxRlatWsXJkycz918LBoOkpqaydetW7rvvPpYsWcKjj+b9fRBERETCiWvwIxjx1cDnxT9/qtVxRERCyvT5SB91C+aJIxjxVXFc2c/qSDkuWwVb27Zt+eSTT5g/fz7NmjWjRIkSVKlSBYBevXoRExNDnTp1mDhxIh999BFt27bNkdAiIiKSwTAMHB2uBiB99F0ED+yyNpCISAj5vv8E/9xJYLMR8eAbGE6X1ZFynGFmZT7jv0hPT2fLli3s2bOH06dPZ56PiYmhcuXK1KpVi8jIyOwOk+clJSURGxvL6dOnKVy4sNVxREQknzATT5B6a1uCuzbhvOkBIka8YnUkEZFcZ5omqX0vIbj9d1z3Pof71rw1my+rtUGOFGySNSrYREQkt/gXTiPt/p4YRYoRPX03RnSM1ZFERHJVYO0SUm9pBe4ICv10ECM2zupIFySrtYE2RxMREckH7K26YsRXw0w8gef9p6yOIyKS67yT3gXAcUW/PFesXYhsFWwjRozgwQcf5ODBgzmVR0RERC6C4XDgHv4yAL4vXsW/dLbFiUREck/w5FH8sycC4LruLovT5K5s78P28ccfU6VKFW699Va2bNmSU7lERETkAjk7XI2jx80AGYvwRUTyIdOTTtrQq8DnxVa7Mba6Ta2OlKuyVbANHz6cffv28cwzzzBr1izq1q1L7969WbZsWU7lExERkQvg7NIXAP+C7zEDAYvTiIjkPN/3nxLcuBKiCuF+6E0Mw7A6Uq7K9hq2mJgYHn74YXbv3s3777/P5s2badWqFe3bt2fmzJk5kVFERESyyN6kLUREYp48Str9PTF9PqsjiYjkGNPnw/vZiwC47x2No1FrixPlvhxrOuJyubjtttvYtGkT3377Lenp6XTv3p0GDRowYcIEAvqWT0REJNcZkdFEPPslREQSWDwD7zi1+BeR/MM/czzmob0YxUrh7H2b1XFCIse7RNpsNvr06cOyZcuYN28eZcuWZcCAAVSvXp0vv/wyp4cTERGR/8fZqQ/uh94EwPfdB5jBoMWJRESyzwwE8HzyPACumx7AiCgY+zznalv/9u3bM3HiRAYNGsSePXsYOnRobg4nIiIif3B2GwCFYjET9hBYs9jqOCIi2eaf9RXm3m1QuCjOa++0Ok7I5FrBtmvXLoYPH058fDzjx49nwIABLFy4MLeGExERkb8wIiJxtOsJgH/+VGvDiIhkk+nz4nn7MQBcNz+MER1jcaLQyfGCbeHChfTu3ZsaNWowfvx4hg0bxp49exg3bhz169fP6eFERETkPP5XsPnGv47/11kWpxERuXi+Hz7LWLtWvAyuG4ZZHSekcqRg83q9fPbZZzRq1IiOHTuyc+dOPvjgA/bt28fTTz9NmTJlcmIYERERuQCO1t0wKtYAwDNmpMVpREQujunz4v3oOQBct/ynwKxd+59sFWxHjx7lySefJD4+nsGDBxMfH8+cOXP4/fffGTx4MBERETmVU0RERC6QERlF1Ke/gmEQ3LoW/7I5VkcSEblgvqmfYB7eh1G8NM4+t1sdJ+Qc2Xlyr1692LBhA7fccgtDhw6lWrVqOZVLREREcoCtaHEcHXrjn/cdaQ9dS6EZezFiilgdS0QkS0xPOt73nwTANfjRAnd3DbJZsE2cOJHY2FgKFy6cU3lEREQkh0U8+TEpW9dgHtyNb8Z4XH3vsTqSiEiW+JfMwjxxBKNEWZzX3mF1HEtka0pkfHy8ijUREZEwZ8QUyVyk731vFMEDuyxOJCLy78xgEN+37wLg6NIXw+myOJE1slywBQIBDhw4kJtZREREJJc4ew/BVrsJZuIJPO+NsjqOiMi/8n76AoGls8Fux9lzkNVxLGOYpmlm5cJq1aqxe/duunbtyvTp0wF44okn2LNnT5YHq1SpEk8//fRFBc0PkpKSiI2N5fTp07ozKSIiIRfY+BupA5qCw0H0tF3YSsdbHUlE5JwCu7eQen0D8PtwP/4hrj63WR0px2W1NsjyGrbk5GRM0yQlJSXz3P79+9m/f3+WQzkc2VoyJyIiItlgr3sp9kvbE/htAd4JbxIx4hWrI4mInJN3zEjw+7C37oaz961Wx7FUlu+wHTt2jC1btnDJJZcQE1NwdhbPSbrDJiIiVvMvmkHa0O7gdBH11WrsVetaHUlE5Cz+tb+SdktrsNmI+nYD9iq1rY6UK7JaG2R5DVuJEiVo06aNijUREZE8zN66K/bW3cDnJf3xgZg+n9WRRETO4vviVQCcV9+ab4u1C5GtLpEiIiKStxiGQcQTH0FsHMHNq/HPn2J1JBGRTMGTx/Av+hEA5/XaggSyWbCNHj2a7du3Z+nabdu2MXr06OwMJyIiIjnAVqIMrj63A+D/6WuL04iIZDCDwYwp2z4vtsq1sNVoYHWksJCtgu2xxx5jzpw5Wbp26tSpvPjii9kZTkRERHKI44p+APh/mUZg61prw4iIAIHlcwluXAkuNxFPfophGFZHCgshmxK5Z88eKleuHKrhRERE5B/YazbE0bE3+P143vyP1XFEpIALHj9M+vMZUyCdvYdgb9Dc4kThIyQF2969exk/fjydOnUKxXAiIiKSBe4RGQv7A8vmENy3w+I0IlKQed9/CnP/DowixXANGG51nLByQRujbd++nS+//JK/7gQwbdo0Dh8+fM7rU1NT2b9/P9OnT6dkyZI88cQT2UsrIiIiOcZWrjL25pcTWDaHtEf6EfX5Egyny+pYIlLABI8dwjftMwAiXpyIrXwVawOFmQsq2NavX88XX3xxVsG2YsUKtmzZcs7ro6OjqVSpEo899hjDhg0jKioqe2lFREQkR0U88japg1oQ3LwK33cf4uqrrmwiElred58ATzq2Bi2wN+1gdZywk+WNs8/FZrMxduxY7r777pzMlG9p42wREQlH3onv4nn+boyiJYj+YQdGIb1HiUho+FfMI+2OjGVTkZ8swtGotcWJQifHN84+l8KFCxMbG5udlxARERGLOXvfhlGxBuapY3g/f9nqOCJSQJiBAJ6XhwHgvPbOAlWsXYhsFWwHDx7kxhtvzKksIiIiYgHD6cQ99AUAvF++RvD4udemi4jkpMCyOQR3bICYIrjvfc7qOGErWwVbdHR0TuUQERERCzk6XI2t/mWQnorv6zFWxxGRAsC/4HsAnFf0w4iNszhN+ArZPmwiIiISvgzDwDUoYz8271dvEUzYY20gEcnX/Gt/xTf1YwAc7XpanCa8ZbtgO3bsGEOHDqVRo0YULVoUu91+3l/Vq1fPicwiIiKSCxzte2G/pBWknsEz9r9WxxGRfMo8fZL0h64Dvw9b3abYL9Nezf/kgtr6/39Hjx6lTp06BINBBgwYQPfu3Rk9ejT33nsvDRs2xO/3M3fuXKZOncodd9xBjx49ciq3iIiI5DDDZsP94OukDmiG/+fJmKfHaJqSiOS49BfuxTx+CFulmkR9ME/7P/6LbLX1v+OOO5g0aRKbN2+mZMmSHDx4kPj4eKZPn063bt0yrxs3bhxDhw5l06ZNlC1bNkeC50Vq6y8iIuHONE1S+zUiuG0d7offwtX/PqsjiUg+Ety/k5Se1cBmI+rzpdjrNbM6kmVC0tZ/yZIl3HDDDZQsWfIfrxs4cCDx8fG89NJL2RlOREREcplhGDh73waAb/L7mD6fxYlEJD/x/fQ1APZL2xfoYu1CZKtg27VrF5UqVcrStZdffjmzZs3KznAiIiISAs5uN0JUIYI7N5L+9G2YwaDVkUQkH/D/thDv248B4GirpVJZla2CLS0tjcjIyCxdW7p0aQ4cOJCd4URERCQEjMJFiXz+K7Db8U8fh+/bd62OJCL5gHfcywAYZSvh7HmLxWnyjmwVbA6HA18Wp0pER0eTlpaWneFEREQkRBxtr8I94lUAvO89iZl6xuJEIpKXBU8dJ7B0NgCRY2ZgxMRanCjvyFbBVqpUKU6dOpV57HBkNJ30+/1/u9bv92O327MznIiIiISQ8/p7MOKrYiYexzfra6vjiEge5v14dEYb/zqXYq9S2+o4eUq2CrZatWqxaNGizOOSJUvidrvPOfXxfx0kRUREJG8wHA6cvYcA4HlmCP7Vi/7lGSIifxc8uBvfN2MBcN/7nMVp8p5sFWyDBg1i/vz5PPDAAxw8eBDDMGjXrh1jxoxh165dmdetW7eOzz//nPbt22c3r4iIiISQq/dtGCXLAeB56xGL04hIXuT95Hnw+7A3vxxHiy5Wx8lzsrUPG8CoUaN4/fXXqVu3LkuXLmXLli1069aNvXv3EhsbSzAYJDk5mbp16zJnzhxKlSqVU9nzHO3DJiIieVHw6EFSrowH0yTqm3XYazSwOpKI5BHmmSTOdCkLaSlEfrgAx6XtrI4UNrJaG2S7YAPwer2kpqZSpEgRADweD7NmzWL37t3Y7XaqVatGly5dCvwaNhVsIiKSV6X9py/+2ROxt72KqDenWR1HRPIA0zRJf/h6/HMnYVSsQfSULRiGYXWssBHSgk2yRgWbiIjkVcG920jpUxuCQaKnbsNWsbrVkUQkzHm/+wjPM0PA6SLyndm6u/b/ZLU2yNYaNhERESkYbBVrYG95JQDprz2AeY6O0CIi/2P6vHjffxLIaDSiYu3ihaxg27ZtG6NHjw7VcCIiIpLDXDcOB8Mg8Ms0fJPftzqOiIQx33cfYh49iFG8DM5+91kdJ08LWcH2/fff89JLL4VqOBEREclhjuadcd3zLAC+yR+gVRUici5m4gk8b/4HANetj2K43BYnyttCVrAtWLCAGjVqhGo4ERERyQWua+8EdwTB7b8TWPSj1XFEJAz5fp4MaSnYqtXDef3dVsfJ8xxZueiJJ55gz549FzWAx+Nh48aNbN68mSlTplzUa4iIiEh4MGLjcPa7D9/nL5P26A1EjZ2F/ZKWVscSkTARPHoQ70cZm2M7ug3AsKllRnZlqWDbt28f+/fvv6gBIiIiaNu2LZ988gnNmjW7qNcQERGR8OG+7TECqxcRXL+MtEdvIHryRozIaKtjiUgY8Iz9L+bhfRhFiuO8aqDVcfIFtfUPIbX1FxGR/MJMSSbl2nqYh/fxf+3dd3gU1f4G8He2byqEloSEkBBAgUAQw0VBKXIRRaog0kGp0hWQ3qvSpIsgIr2jImKhqfwuCEivoSeEAEFISNs25/cH171ESEifLe/nefI82TlnZt8xx539MjNn9KM/h+7tnkpHIiKFWQ/+grQ+/wYAPiQ7GzitPxERERUYydMbuo6DAQCWDQs4AQmRmxNJ95E2uDkAQFU5CuoaryqcyHWwYCMiIqJc0TbrChg8IEefgu3P35SOQ0QKsnyzAkhPhVTcHx4LfoAkSUpHchks2IiIiChXJO8i0DbpCAAwLxgJYbMpnIiIlCBkGeZNiwAAut4TIBUppnAi15KtSUee5ezZs9i9ezeuXbuGu3fvwmAwYPLkyShZsiQ+/fRT+Pv7o0WLFvD29s6PtyMiIiIHoXtvJCy71sF2/ACsP6yF9q1OSkciokJm2bIUIuYy4OUL7ZsdlI7jcvJ8hq1fv36oVq0axo4di19++QXR0dFYvnw5jhw5AgA4fvw43nvvPbz88su4c+dOngMTERGR41AFhkDXbQQAwLxiOoQpXeFERFSY5PgYmD4ZAADQdRnKGWMLQJ4KttWrV2PRokVYsGAB7t69ixMnTmDTpk0Zbjxes2YNzp07h1u3bmHu3Ll5zUtEREQORtemN+BdBPKVs0hpXRly3HWlIxFRITGvng1YLVC/8Cp0749UOo5LylPBtnTpUjRr1gy9evWCRvPo6sqn3WAYHh6ONm3a4JtvvsnL2xEREZEDknyKwjh7GwBAxF559AWOiFye7dyfsKyfDwDQvT+SE40UkDwVbNHR0ahevXq2+oaGhiIuLi4vb0dEREQOSvNiPRhmbAAAWPdu5zT/RG7A/PVMwGaDpmFraF5+Xek4LitPBdvt27dRvHjxbPX18PBAUlJSXt6OiIiIHJjmlSaAwQgRfwPmL6crHYeICpB50xJYd60DAOi6DVc4jWvL86Qj2T31yVOkRERErk0yekI/8BMAgHnRaNjOHFY4EREVBPnaBZhm9AMAqOu8CdXzLyicyLXlqWDT6XRIT8/ebFBmsxk6nS4vb0dEREQOTvduP2gavQPIMswbFykdh4jymZBlpE/7ALDZoI6qD+Ocb3hipoDlqWALCwtDTExMtvreunULoaGheXk7IiIicgLaZt0AALaj+xVOQkT5zfbb97D9sQcweMAw6nNImnx5rDNlIU8F2wsvvIBNmzYhJSUly34WiwVbtmxBjRo18vJ2RERE5ATUkbUBtRri5lXIsVeUjkNE+ciycw0AQPt2T6hCyiucxj3kqSSeMmUKKlWqhGrVqqFPnz4IDQ2FxWKBJEk4ceIEACAmJgZLly5FfHw8Jk2alC+hiYiIyHFJnt5QV38FtiP7kPZhCxg/3cIvdkQuwPLDWlh/ejQbrPb1dxVO4z4kkcd5d8+dO4fhw4dj//79T50F0tvbG6+++ipmzJiBSpUq5eWtnF5SUhJ8fX2RmJgIHx8fpeMQEREVGFv0KaR2/heQngZV+arwWPcnJLVa6VhElEvCakXKG8EQCfHQNG4Hw9Q1vHctj7JbG+S5YHvcgwcPkJiYaH/t7e0NPz+//Nq802PBRkRE7sR24QRSu9UG0lJgmPAVtM26KB2JiHJBpKUguXEwkHQf8CkKr5/iIOkNSsdyetmtDfI8rf/jihQpgpCQEPsPizUiIiL3pa5YDfpe4wAApoWjIN+7rXAiIsoN608bHxVrAHSdPmKxVsjytWAjIiIiepz23f6QgsMh7txE+vj3lI5DRDkkLBaY134GANB1HwV991EKJ3I/eSrYcnI15eHDh3H4MB+gSURE5E4kvQHG2dsAALbfd0K+eVXhRESUE5aNCyFfPAH4FIW23QCl47ilHBVs9+7dQ//+/VGlShUYjUZoNBoEBwejSZMm+PXXX5+6zl9//YUePXqgVq1aWLFiRb6EJiIiIuehDq8C9b8aAgDSp34AYbEonIiIskMIAfPGRQAAfb+pUPmVVDiRe8p2wZaQkIDKlStj3bp1aNy4MWbPno2lS5eiZ8+euHPnDurXr4+tW7dmWGfFihWoWLEitmzZgiVLlmDhwoX5vgNPk5aWhmnTpqF69eoIDAyEv78//P39UaFCBXTo0AGXL19+5jZMJhPGjBmD8PBw+/r+/v4IDAxErVq1sGPHjkLYEyIiIteg7z8NMBhh+79dME3vq3QcIsoGy+o5EDeiAaMntG92UDqO28r2c9jGjBkDq9WKs2fPomTJjNX16NGj0apVK/Tr1w+tWrXCmTNn0Lt3bxw4cACdOnXCzJkzUaJEiXwPn5l27dohICAAO3bsQGBgoH3K0ZSUFGzZsgX169fHwYMHERgYmOk2pk+fjujoaPzxxx8ZJk8RQuD06dNo06YNgoKCEBkZWdC7Q0RE5PTUlV+E8ZPNSBvQBJZty6Dr9BFUZSsqHYuIMiFSHsK08NH9avre4yF5eiucyH1l+wzb77//jvbt2z9RrAGAJEkYOHAg4uPj0a5dO0RGRiIhIQF79uzBypUrC7VYO3LkCGJjY7Fw4UKULl06w/MhPD090blzZwwaNAgzZszIcjs7d+7EhAkTnpjpUpIkREREYPDgwVi3bl2B7AMREZEr0rzyJtSvNgUeu8yKiByPsFiQ1u8NwJQOqUx5aDt9pHQkt5btgi06OhqhoaGZtoeEhAAAvv32W0yYMAEnTpxAvXr18hwwp06dOoV69epBpcp81xo2bIhTp05luZ0OHTqgXLlymbYHBwcjJiYm1zmJiIjcka5VDwCAde/2HE1eRkSFx7LtC9iOHwAAaBu34wOyFZbtSyLNZjP0en2m7TqdDgDw1VdfoU2bNnlPlkuxsbEICAjIsk9gYCBu3LiRZZ8BA7KeBef06dMIDw/PcT4iIiJ3pq75GmAwQsTfgHzuT6gr1VA6EhE9RqSl2KfxV4U+D13nIQononx/Dpunp2d+bzJHbDYb1Gp1ln00Gg2sVmuu3+PgwYOYP38+unbtmmU/k8mEpKSkDD9ERETuTDJ6QPNqMwBAaocXYV49R+FERPS49AndIa5fBIye8FjxO+9dcwBO8eDs1atXo0iRIln+rF69usBzpKWlYejQoWjZsiVWrVqFsLCwLPtPmzYNvr6+9p/g4OACz0hEROTodL3H2383zR8B+VbWV70QUeEQSfdh3b0FAGCcuhaSr98z1qDC4BQFW8eOHfHgwYMsfzp27PjUdRMTExEeHo59+/blKcNPP/2EyMhI3L59G8eOHcvW/XkjRoxAYmKi/Yf3vBEREQHq0Ofgsf4YoFYDZhPM6+YpHYmIAFh2rQesFqjKR0BTr5nScei/sn0PG4Bs3XDoaDcl+vr64tKlS7le//79++jduzcuXryIL7/8ErVr1872unq9Psv7/oiIiNyVumIkjDO3Im1wc1hWzYK2QSuoI19WOhaR2xKpyTAvmwwA0LZ4X+E09LgcFWyjRo3CtGnTntr29z1hnTt3htFofGqf8PBw7NmzJ4cRcyY796dZrVZoNM/e9ejoaDRv3hzt2rXD2rVrn3lvHBEREWWfus6bkILDIWIuIW1oa3juioHEYy1RoRNCIP2TARB34yCVDoW2dW+lI9Fjsl2wffnll7h+/Xqe3qxMmTJ5Wj87goKCcPr06Sz7xMXFPTOLxWJBy5YtMW7cOLRt2zY/IxIREREASaOBx/JfkfJ6aYiEW7B886V92n8iKhzyX3dgWTcP1m9WAJIEw7jlkHS8QsyRZLtge9aMiI4iIiIC8+fPhyzLmT6Lbffu3YiIiMhyO19//TUqVarEYo2IiKgAqUoEQNvifVi2LYNp2gdQV3sZ6nKVlY5F5BaEzYbUttUgEuIBALr+06CJqq9wKvonp5h0JCdq1KiBkJAQ9OnTBzdv3szwUM7U1FSsXr0ac+bMwccff5zldo4ePYomTZoUdFwiIiK3px/8KaTi/oDVCvPXMyFsNqUjEbkF+cJxe7Em+ZWErsMgZQPRU7lcwQYAa9euRdmyZdGkSRMEBgbC398f/v7+qFatGnbu3Im9e/ciMDDQ3v/ChQsICwvDxYsX7cv++usvDB482L7u035effVVJXaPiIjIpUjeRaAfMAMAYP32K5iXjFM4EZF7sB3ZZ//dOGsbL4V0UJJ4/BQUFaikpCT4+voiMTERPj4+SschIiJyGCLpPpLrPnrmkxQQAs/vrzrczNNErkS+n4DU9i9AxMdAP/hT6DoPUTqS28lubeCSZ9iIiIjIuUg+ReG17x4AQNy6DvnqeYUTEbk2y8ZFEPExkALLQtusm9JxKAss2IiIiMghSL5+UP+rIQDANLkXhCwrnIjINQmrFZbvvgIA6HuNh1SkmLKBKEss2IiIiMhh6IfMAQwesB37LcP9NUSUP4TFjLSBTSFuXgX0Bmjqt1A6Ej0DCzYiIiJyGOrwKtC+1RkAkPZRK9gun1E4EZFrMX89E7b/2wUYPGCYtg6St6/SkegZWLARERGRQ9F1GAR4FwGSE5E+tA3k/047TkR5I99PgPmrRzOy6ofNg5Zn15wCCzYiIiJyKKqyFeG5/jikYqUgXz2HtN4NISwWpWMROTWRnITUjlFAchLgXQTaN9orHYmyiQUbERERORxVYAiMS/cCvn6QL5+BZd1nSkciclrCZkP6uG4QcdcgFSkG4+xtkAxGpWNRNrFgIyIiIoekDnse+r5TAACmucNgO3NE4UREzsn643pY92wFtDoY5nwDzYv1lI5EOcCCjYiIiByWtnUvaBq0BISAZfMSpeMQOSXLlqUAAN17I6CJrK1wGsopFmxERETksCRJgrbjhwAAy651nICEKIes+76F7c9fAZUK2pbdlY5DucCCjYiIiByaOrI2VFVqAumpMC+dqHQcIqchbDakz/4IAKDrPASqUkEKJ6LcYMFGREREDk2SJOgHfgIAsGxdCtuVcwonInIO5iXjIWIuAT5Foes5Vuk4lEss2IiIiMjhaV6sC/WrTQGbDenj34Ow2ZSOROTQbKcOwbxsMgBA/94ISEZPhRNRbrFgIyIiIqdgGL4A8PKBfOogzCumKx2HyGGJpPswb1oMANC89ja0nYconIjyggUbEREROQVVQBkYhj56Hpt54WhY9m5XNhCRA7JFn0JyXT9Yv1sJANB2GARJkhRORXnBgo2IiIichqZpF2jb9gUAmCZ2hxx3XeFERI7FsmGB/XfN6+9CU72OgmkoP7BgIyIiIqchSRL0H82G6rnqEA/uIW1AE4j0NKVjETkEYTbB8uN6AI/OrBkmrVQ4EeUHFmxERETkVCStDsa530Iq7g/58hmYl09VOhKRQ7Ad2QckJ0EqHgD9h7MgaXVKR6J8wIKNiIiInI6qVBD0/72fzbLlcwiLWeFERMqSr11A2rA2AADNq29BUvFrvqvgX5KIiIickqZBK0jFAyDu30X62K4QQigdiUgRtjOHkdrrNSDlIeDhBe07HygdifIRCzYiIiJySpJGA/3gTwEA1l3rYNm0mEUbuR35r7tIG/AWxJ2bUIU+D8+t56CuGKl0LMpHLNiIiIjIaWnf7GA/m2Ca1hfWH9YqnIiocJnnj4D46w5U5SrD4+uDUJUKUjoS5TMWbEREROTUdO+NsP9u2blGwSREhct25jAs364AABhGL4Xk5aNwIioILNiIiIjIqalKBcFj8xkAgO3AD7D8vEnhREQFz3pgF1K71gZkGZrX34U68mWlI1EBYcFGRERETk8V9jzU/31AcPrIDrBdPKlwIqKCI4SAac4QwGqB5F8G+o/nKx2JChALNiIiInJ6kiTBOH8n1P9qCFgtME3vxwlIyGXZjv0O+fIZQKuD58YTUBUtrnQkKkAs2IiIiMglSJ7eMExYAegNsB37Denj34Ow2ZSORZSvxMMHMM0cDADQNu0CybuIsoGowLFgIyIiIpehKhUE/ZC5gFoN67dfwbx4rNKRiPJV+vj3IZ87Chg9oevJ8e0OWLARERGRS9G17gXDpK8BAOavZ8J25ojCiYjyhxwfA+u+7QAA49xvOYW/m2DBRkRERC5H07gd1C81AixmpPaoB9upQ0pHIsoT24XjSO1ZH5BlqF94FZqaDZSORIWEBRsRERG5HEmSYJiyBuqo+kBaCtKGvwthNikdiyhXhCwj7aNWEDGXH80KOXyB0pGoELFgIyIiIpekKlocxrnfQioRCBF3DZbNnysdiSjHhNWKtH5vQNy8CngXgef6Y1CXj1A6FhUiFmxERETksiQPL+h6jAEAmL/+FCLlocKJiHLG+stm2P7zEwBA+1ZnSL5+CieiwsaCjYiIiFyatmkXSH4lIW7HIrV7XYiHiUpHIso2yw9rAQBSYFnoP5ikcBpSAgs2IiIicmmSwQjDrK2Q/EpCPn8M6WO78KHa5PDku7eQ2q0ObL9+BwAwfvYdJC8fhVOREliwERERkcvTRNaGcf5OQKOFdd83sP6yWelIRFkyr5oF2/EDAABth0FQh1dROBEphQUbERERuQV1pRrQvTcCAGCaNxwiPU3hRERPZ4s+BcuWR5Pk6HqMgf6j2QonIiWxYCMiIiK3oesy9NGskbFXYJo5mJdGksOxXTmH1B71gNRkqEKfg67nWEiSpHQsUhALNiIiInIbkocXDGOXAQAsWz6H9duvlA1E9Bj5fgLS+jYGEv+CqnIUjMt/g6TRKB2LFMaCjYiIiNyKps4b0PWdDAAwLRgF+X6CwomIHjHN6A8RfwNSmfIwzt8JVdHiSkciB8CCjYiIiNyOrvMQSMHhEAm3kDagCURqstKRyM3ZLp+B9cf1gCTBOG0dizWyY8FGREREbkfS6WGc+y3g6wf59B8wLRildCRyY3LcdaQNbg4A0NRvAXWlGgonIkfCgo2IiIjckjrseRgnrwYAWLYtg3ztgsKJyB2JtBSk9XsDIuYypFJB0PefpnQkcjAs2IiIiMhtqWs3hqpyFJCeipT2NWD9dYfSkcjNmBaOhnz1HKQSgfBY+R+oylZUOhI5GBZsRERE5LYkSYJxzjdQR9UH0lKQNqoj5Ds3lY5FbkK+Hg3LhgUAAMO45VCVClI4ETkiFmxERETk1lQlAmBc9NOjM23JiTB99rHSkcgNyNcuIG3o24DVCnXtN6Cp3VjpSOSgWLARERGR25M0GhiGPzrTYd25Bqn9m0C+dUPhVOSqbFfPI6XLS5CjTwEeXjCMWKh0JHJgLNiIiIiIAKir1ISu/zRAkmD7fSfSPn4HwmpVOha5GGGzwTSpB5B0H6qKkfBYcQCq0qFKxyIHxoKNiIiI6L/07w2Hx6pDgJcP5FOHYP5qhtKRyIUIWUZqp5qwHfv90fPWpq+HukJVpWORg2PBRkRERPQYdeUoGIbNBwCYF42BeesyhRORq7D+vAnyuT8BANo2fTgjJGULCzYiIiKif9C81Qna1r0BIWCa1AOWvd8oHYmcmDClw/LzJqSP7QIA0HUbzvvWKNtYsBERERH9gyRJ0I9YCG2rHgAA85JxELKscCpyVukj2yN92DuA2QT1i/Wg6z5K6UjkRFiwERERET2FpFJBP2A64OkN+eIJpPw7APKdOKVjkRMR6WmwnTkM655t9mWGqWsheXgpmIqcDQs2IiIiokxIvn7QvdsfACD+uoP0Kb0h0tMUTkXOQAiB1F6vIbVjTQCAFFgWnjuuQFUiQOFk5GxYsBERERFlQff+SGjqNgMA2H79DsmNAmE99rvCqcjRyScPQj75H/trw7jlnL6fcoUFGxEREVEWJKMnjHO/gWHCCkj+ZYCHD2BeMl7pWOTAROJfSJ85yP5a+84H0NRsoFwgcmos2IiIiIiyQdusKzyW7QMA2P7YjfRJPZUNRA5JvnsLKZ1qQj79B+BTFJ7bL3BGSMoTFmxERERE2aQqHQp1VH0AgGXrF7D+5yeFE5EjEclJSOv3BkTMZUgBIfBYugeqkApKxyInx4KNiIiIKAeMc76BuuZrAID0MZ1h+XkzRFqKwqnIEZjXzIV88QSkYqXgsXQP1BUjlY5ELoAFGxEREVEOSJ7eMM7aClWFahD3biN9WBukDW6hdCxSWPrsITAvGQcA0A+eCVVQmMKJyFWwYCMiIiLKIcnLBx5L90Dz+rsAANuhX2Bev0DhVKQU+e4tWNbOffTC0xua195WNA+5FhZsRERERLkg+frBOH0dtC3eBwCYZvSH9cg+ZUNRoTNvW47UzrUAmw0A4LnxJCSDUeFU5EpYsBERERHlgX74AvtEJOkj2sN28aTCiaiwmDcugmlid4j4G4CXL4zL9kMVWFbpWORiWLARERER5YGkN8Awdhng5QORcAtpvV6DfP2i0rGogFl+2gjTtL4AAE2zrvD6+RY0NV5VOBW5IhZsRERERHmkCgqD5/rjUFWMhHiQgNT+b0KY0pWORQXAduUc0oa0RvrHbQEA6poNYBi1hJdBUoFhwUZERESUD1SlQ2Fc9COkUkEQMZeRXMsI62/fKx2L8pEcdw2pb1eCdfcW+zL9sHmQdHoFU5GrY8FGRERElE9UfiWhHzjD/jptdCdYj/2uYCLKT9Zfd2R4res+CupylRVKQ+6CBRsRERFRPtK+0R4eqw5B8i8DJN1H2gevw3bqkNKxKI9s0adg+W7loxc+ReG58zr0fScrG4rcAgs2IiIionymrlITnlvPQv1SIyA9Fan934Tt5EEIWVY6GuWQEAKmhaOR+k5VyGePAAA8lu2HKqCMwsnIXbBgIyIiIioAktETxplboKr0IpD4F1K7vATTp4OUjkU5ZP58AszLpgAANPVbwLjoR6jLRyicitwJCzYiIiKiAiJ5eME4fT0gSQAAy8aFfE6bE7Hs2Qbz5xMAAPoRC2GcvQ2alxopnIrcDQs2IiIiogKkCi4Hr18fQP1yY0CWkTa0NSzfrICwmJWORpmQ79xE+qeDkD62CwBA23kIdO98oHAqcleSEEIoHcJdJCUlwdfXF4mJifDx8VE6DhERERUi+e4tpL4bCfHXHQCAKqIWPJbu4fO7HIx8Jw5pA5pAvnAcACD5l4HnljOQPLyUDUYuJ7u1Ac+wERERERUCVYkAeGw4AV2/qYDRE/Kpg7BsXKR0LHqMsFqR2r2uvVjT9Z4AjzVHWKyRoliwERERERUSVXF/6N8fAX3/aQAA05wheFivGEzLp4EXPSlHCAHrvm9hmt4XIuYSAMC44nfoe42Fyq+EwunI3WmUDkBERETkbrQtu8P62w7Y/vMTkPgXzAtGQlWsFLQt3lM6mtsRQsA0vV+Gs53aTh9BE1lbwVRE/8MzbERERESFTDIYYVy4C5o3O9iXpU/pDcu3X/FMWyERQkBOiIdlzdxHxZpKBU3D1tB2GQp991FKxyOy46QjhYiTjhAREdE/CVM60sd1g/XH9QAAzZsdYBi1hPdNFTDT8qkwL/hfYaYfNg+6dv0VTETuhpOOEBERETkBSW+AYcpq6PpOBtRqWHeuQWrX2pCvRysdzSWJh4kwfTE5Q7Gmqdcc2nf7KZiKKHMs2IiIiIgUJqnV0HcfBePinwG1GnL0SaS0qICUzrUg37qhdDyXIVKTkdrn3zAvGmNfpu0yFIapayH99+HmRI6GBRsRERGRg9BE1Ydh7HKowqsAAORTh2BaMJL3teUD8fABUtpWg3zmMODlA8OEFfD6TyoMgz6BZPRQOh5RpliwERERETkQbbMu8Nh4EvrhCwAA1p1rkDbgLcj/feA25YxIuo+0kR2Q0iYCIvYKYDDCOHUdtM268qHl5BRYsBERERE5GEmSoH3nA2g7DwG0Oth+34mUls8hdcBbsB3/P6XjOQVhtcL89UyktI2E9Ye1ELdjAQDGTzZD88qbCqcjyj7OElmIOEskERER5ZTt0mmkD38X8uUzjxZ4eMFzwwmogsKUDebgTPNGwLxiuv215o320LbqCc2LdRVMRfQ/nCWSiIiIyAWow6vAY/1xGBf9CFXoc0BqMlKalkNy8wqwHtmvdDyHI1KTkT6pp71Y0w/6BF6/JcI4dQ2LNXJKLNiIiIiIHJyk0UDzUiPoRy6xLxM3opHWox5SB7wFyy9bODEJANvJg0huFAjL1i8AALre46HrMhSSF69sIufFSyILES+JJCIiorwQQsCyYSFEykNY9257NOPhf6mj6kPXfhCkMuWhDntewZSFz3bmMNI/GQj55H8eLVCpoB+5GLq3eyobjCgL2a0NWLAVIhZsRERElF9EctKjKf/v34V1z1bAan3UoNPDc9t5qALLKpqvIAmLBbYzf0AVGArzyk9g2bAAsNkAAOrab8D46SZIRk+FUxJljQWbA2LBRkRERAXBdvEkUttWs7+WipWCrs9EaBq0gqpocQWT5T/r4b0wzf4I8vljGZarazaAfsAMqCrV4EOwySmwYHNALNiIiIiooFj2bod54ej/zSYJADo9VBWrQ/Py69D1HAtJ5ZzTF4i0FFh/3gw5/gbMi8dmaJOCw6F7tx+0LXvwAdjkVNy+YEtLS8PcuXOxceNG3L59G7IsAwB8fHwQFRWFiRMnoly5crnadnx8PF577TXs3r0b/v7+2V6PBRsREREVNJGcBNOyybDu+Bri3u0MbeoXXoVx4S6HfmC0EALizk2oSgXBdvksrN+vgmXXOohb1+19VKHPQ//hLMgxl6Bt8T4LNXJK2a0NNIWYqVC1a9cOAQEB2LFjBwIDA+2nxlNSUrBlyxbUr18fBw8eRGBgYI62a7FY0LZtW0RHRyM9Pb0gohMRERHlmuTlA8OgTyD6ToHt6H7YDv0M89czAVmG7c9fYZr1IWzHfgN0BuiHzoWmeh2lI9sJixlpg1vAduAHaOq3gHXvdnubVKwUpJJBgFoNw+ilUFeslvmGiFyIS55hO3LkCHr37o0//vgDqkxO/c+ePRvXr1/HZ599lqNtf/TRR0hJScHBgwexfft2lC1bNtvr8gwbERERKcF2/P+Q2q32kw0eXtB1/RiaV5s+mqTE6AnYHk1eIukNhZJNmE2wHvjh0eWcd+OApPtP9NE0agvDqMWQfIoWSiaiwuDWZ9hOnTqFevXqZVqsAUDDhg0xaNCgHG1348aN+PXXX/Hbb7+hVq1aeUxJREREVDjUkS/Dc/cdpPX5N+SLJ6B+uTHE/buQzx2FedEYmBeNAQBIRYpBpKcBNiv0g2dCFfoc1C+8+mgGRosJtvPHoH6xXpb3wglZhmXVLEhlKkBbv/n/lgsBcfcW5CtnIMddh+3P/bCd/gPi+sWMG9BooGncHraDP0EkxEPb6SMYPpxZIP9diJyBSxZssbGxCAgIyLJPYGAgbty4ke1tnj17FkOHDsX+/fthMBTOvzgRERER5ReVXwl4rD8Gce82VMX9IcwmmL+eCdufv8J28GdACIgH9+z9TZ8M+N/KGi1gMALJSZDKlIembjNApYJ8/hgkgwcMk1bCemAX5AvHYdmzFeJGNABAjP4cIuEW5JjLkC8cg3zpdJYZNU06QdemD9TVXoJITYb1wC5o6rxZIP89iJyFSxZsNpsNarU6yz4ajQbWv59X8gxJSUlo3bo1Fi9enKNLIE0mE0wmU4btEBERESlFkiRIxR9NmCbp9NB3HwVgFGxnDkO+cg7ClAb56jlY92yFVDII8oVjgCkdsFqAZAsAQNyIhmXVrAzbTX716Zcqmib3+mcA4O+7cbx8oa5SEyL+BnQ9xkBTv2WGyUMkDy9o/906f3acyIk5TcG2evVq9OvXL8s+CxYsQMeOHfP1fYUQ6NatG9q0aYM338zZv/BMmzYNEyZMyNc8RERERPlNXTkK6spR/1swdC4AwHbyINKn94N87iigUkEKLAsReyVX76EbOAO6t3sCWj2se7ZC/dLrLveMOKKC4DQFW8eOHXNdjCUmJqJGjRpYtmwZ6tWrl6N1Z86cieTkZIwdO/bZnf9hxIgR+PDDD+2vk5KSEBwcnOPtEBERESlBXbUWPNcegXzrBqDRQipSHJZtyx797ukNzStNkNq5FqAzPJoUpGgJSCUCIWl1AAA5IR5QqaHyK5Fhu9o3OyixO0ROyWkKtrzw9fXFpUuXcrze3r17sWjRIhw+fPiZl1g+jV6vh16vz/F6RERERI5EFVDG/rvunT4Z2jw3n4YQwv4IpQzrFc/+82qJ6OlcsmDLzv1pVqsVGk3mux8bG4vOnTtj8+bNKF6cp+uJiIiIMvO0Yo2I8odLFmxBQUE4fTrrWYji4uJQpkyZTNtXrlyJxMRENG/e/Kntd+/eRVRUFAYPHoyRI0fmKS8REREREdHTuGTBFhERgfnz50OW5UyfxbZ7925ERERkuo1Ro0Zh1KhRmbaXLVsWx48fR5EiRfIal4iIiIiI6Kkyf+qhE6tRowZCQkLQp08f3Lx5E+Lv6WMBpKamYvXq1ZgzZw4+/vhjBVMSERERERFlzSULNgBYu3YtypYtiyZNmiAwMBD+/v7w9/dHtWrVsHPnTuzduxeBgYH2/hcuXEBYWBguXryYre2XKFECWq22oOITERERERFBEo+ffqIClZSUBF9fXyQmJsLHx0fpOEREREREpJDs1gYue4aNiIiIiIjI2bFgIyIiIiIiclAs2IiIiIiIiBwUCzYiIiIiIiIHxYKNiIiIiIjIQbFgIyIiIiIiclAs2IiIiIiIiBwUCzYiIiIiIiIHxYKNiIiIiIjIQbFgIyIiIiIiclAs2IiIiIiIiBwUCzYiIiIiIiIHxYKNiIiIiIjIQWmUDuBOhBAAgKSkJIWTEBERERGRkv6uCf6uETLDgq0QPXz4EAAQHByscBIiIiIiInIEDx8+hK+vb6btknhWSUf5RpZlxMXFwdvbG5IkKZolKSkJwcHBiImJgY+Pj6JZyDlwzFBOccxQTnHMUE5xzFBOOdKYEULg4cOHCAwMhEqV+Z1qPMNWiFQqFYKCgpSOkYGPj4/ig5WcC8cM5RTHDOUUxwzlFMcM5ZSjjJmszqz9jZOOEBEREREROSgWbERERERERA6KBZub0uv1GDduHPR6vdJRyElwzFBOccxQTnHMUE5xzFBOOeOY4aQjREREREREDopn2IiIiIiIiBwUCzYiIiIiIiIHxYKNiIiIiIjIQbFgIyIiIiIiclAs2NzIgwcPMGzYMERERCAgIAD+/v7w9/dHpUqV0KdPH9y+fVvpiFSAVq9ejcjIyAx/+4CAAFSqVAmzZ8+G1WrN0H/37t1o2LAhypYta+8fHByMV155BVu3bsXT5is6evQomjVrhrCwMPs6pUuXRs2aNbFs2TLYbLbC2l0qQDabDa1atcKmTZsyLOeYod27d6NOnTooXbq0/e/59zho1qwZzp49m6F/dHQ02rdvj/Lly9v7BgYG4oUXXsCMGTNgMpmeeI9bt26hV69eeP755+2fZwEBAahatSqGDx+OpKSkwtpdyge3b99Gjx49EBoammHMhIaGokOHDoiJicnQPzffZdLS0jBt2jRUr14dgYGB9nUqVKiADh064PLly4W1u5RLycnJaNKkCb744osMy3NzDHHKzx1BbsFqtYoXXnhBjB8/XiQkJAhZlu1tDx48EHPnzhXlypUTKSkpCqakgrJ3715RuXJlceHChSfa4uPjRdOmTcW8efPsy7Zt2yYiIiLEb7/9Jsxms325xWIRR48eFXXq1BHz58/PsJ0jR46I0NBQ8f3334v09HT7cpvNJs6fPy+aN28uPvroowLYOypsI0eOFDqdTqxYscK+jGOGLl68KEJCQsTBgwczHGOEeHQM2rBhgyhfvrz9bx0TEyOCg4PFmjVrMhx7ZFkWN27cED169BBvv/12hu08fPhQhIWFifnz54ukpKQM69y5c0eMHj1aREVFCZvNVoB7SvmpUaNGYtKkSSItLS3DcovFIpYvX57h75nb7zLNmzcXvXv3FrGxsRnWSU5OFitXrhTBwcHi5s2bBbiXlBeJiYmiTp06IiQkRMyZM8e+PDfHEGf93GHB5iY2bdokWrVqlWWf/v37i9mzZxdSIipMw4YNE0uWLMm0/fz586JmzZr215UrVxYnTpzItH9sbKwIDAwUVqvVvqxJkybi22+/zXSd5ORkUaZMGREfH5/D9ORItm/fLiIjI0XPnj0zFGwcMzRlyhQxZcqULPs0aNBAHD16VAghRN++fTP8Q9E/2Ww2Ua1aNfHnn3/al3366afiww8/zPI9mjZtKrZu3ZqD5KSUBw8eiDJlyjxR4D+udu3a4uzZs0KI3H2XOXz4sKhRo0aWX6ZnzZolBgwYkMP0VBhSU1PFv/71LzFhwgQxbty4DAVbbo4hzvq5w0si3cSpU6dQv379LPs0bNgQp06dKqREVJheeukl/Pvf/860PTg42H7ZicViQUJCAqpWrZpp/9KlS6NUqVK4efOmfdmzxpinpydq1KiBCxcu5GIPyBFER0dj4MCB2Lx5M4xGo305xwwBwLVr11CuXLks+7Ro0QIq1aOvHs/6+6tUKjRo0CDDcYnHMtdy584dBAQEQJKkTPsEBQXZj0+5+fufOnUK9erVs4+77KxDjkMIgQ8//BBjx459oi03xxBn/dxhweYmYmNjERAQkGWfwMBA3Lhxo5ASUWFq0aIFwsLCMm0/ffo0wsPDAQDx8fEoUaLEM7f5z/GSmJgILy+vHK1DziMlJQVvv/025s2b98SXco4ZAgCz2Qy9Xp9ln/79+yMyMhJA7o5LPJa5ltDQUPz111+QZTnTPjExMfbjF8eM+/Hw8MA777zz1LbcHEOcdQyxYHMTNpsNarU6yz4ajeaJiSfI9d28eRO9evXCgAEDAGRvrAC5Gy8cY85JCIGePXuiSZMmaNas2RPtHDP0twcPHqB///6oXr16hgkkKleujJ49eyIuLs7eNzfHJR7LXItGo0HNmjUxatQo3L9/P8PERCaTCatWrcK1a9fsBRvHDOVUfowHRxhDLNiI3JQQAl999RUiIyPRtWtXtG7dWulI5KAWLFiAW7duYdKkSUpHIQc3ffp0NGrUCAcOHEB8fDzi4+Nx69YtHDhwAJUrV0bjxo35xZgyGD16NBYvXgw/Pz8UL14c/v7+KFWqFDw8PNCjRw9s2rQpy8sZidwB/w9wUxcuXEBYWBguXryodBRSwMWLF9GoUSN8/vnn+PHHHzFw4MAs+/ft2xd9+/bN0XtMnz79qWdjyLkcOHAAs2bNwrp166DRaLK9HseMe2rbti2aNm0KDw8P+zJJklCkSBEMHDgQQUFB+PXXX5+67urVq1G9evUcvd++ffsQHh7Oqfyd1N27d9GsWTN88cUXSE5Oxr179xAfH4/bt28jKSkJq1atwvTp02E2m5+6fm6+yyQmJiI8PBz79u3Lp70gR5GbY4izfO5k/+hLLqVixYq4cuWK0jGokNlsNkyZMgXLli3DxIkT0blz52z9y+XChQtz/F7Dhw/PTURyIPHx8Wjfvj3Wrl2LUqVK5Whdjhn39Nxzz2XZXqVKFVy+fBkNGjR4oq1jx47o2LFjjt6vXr16uHTpUo7WIcexfv16NG/eHG3atHmizdPTE23atMGhQ4ewadMmdOjQ4Yk+ufku4+vryzHjonJzDHGWzx0WbG4iO9fWWq3WHP0LOjmX5ORktG/fHhqNBidPnkSRIkWe2i+712HnZrxwjDkPq9WKtm3bYvDgwahdu3aWfTlm6G+Pzx76NB4eHkhJSQGQu+MSj2Wu5fz586hVq1aWfSIiInD48GF06NCBY4ZyLD/GgyOMIY5ONxEUFIT4+Pgs+8TFxaFMmTKFlIgK25AhQxAUFISFCxdmOYWyv78/EhISnrm9f46XIkWKIDk5OcsZmzjGnMeBAwdw9OhRnD9/HtOnT3+iPTExETqdDps3b8b27ds5Zgienp5IT0/Psk9aWhoCAwMB/O+4VLx48Uz7x8XF2WeVfHydrHDMOI/sfMGVJMn+ZTk3f/+goCCcPn06R+uQc8jNMcRZP3d4D5ubiIiIwO7du7Pss3v3bkRERBRSIipM0dHR2LVrF2bNmpVlsQY8OoCWKFECx48fz7RPXFwcbt++jdKlS9uXPWuMpaSk4OjRo6hYsWKO81Phq1u3LpKTk3H79m375BGP/7Rt2xYrV67Ejh07OGYIABAWFobo6Ogs+5w7d84+49+z/v6yLGPv3r0Zjks8lrmWsLAwnD17Nss+Z8+eRWhoKIDc/f0jIiKwd+/eLB8dwDHjnHJzDHHaz50CeyQ3ORSr1SpefPFFMXbsWJGQkCBkWba3JSYminnz5oly5cqJ5ORkBVNSQdmwYYPo2rVrtvt/8803okqVKuK3334TZrPZvtxqtYpjx46JOnXqiHnz5mVY588//xRly5YVO3bsEOnp6fblNptNREdHixYtWogPP/ww7ztDDqFLly5i27Zt9tccMxQXFydCQ0PF3r17hc1my9BmNpvFl19+KZ577jn73zo2NlYEBweL1atXi5SUFHtfWZZFbGys6NGjh2jVqlWG7SQnJ4uwsDAxb948kZSUlGGdhIQEMWbMGPHiiy8+8f7kmO7evStCQkLErl27hNVqzdBmtVrFDz/8IEqXLi3i4uLsy3LzXaZly5aiZ8+eIjY2NsM6KSkpYtWqVSI4OFjcvHmzAPeU8sO4cePEnDlz7K9zcwxx1s8dSYjHHnpBLi0xMRFTpkzBzp07ce/ePfvzTooUKYK6detiwoQJ8Pf3VzglFYTFixdj6NChWV42oNVqcejQIfvlSnv27MHUqVMRHR0Nk8lk7xMSEoLBgwejVatWT5ytO3bsGMaNG4fTp08jNTUVAKBSqVC6dGn06NED77//frae10WOb+DAgWjatCkaNmxoX8YxQ0ePHsXIkSNx9uxZWCwW+3K9Xo+XXnoJU6dOtZ9hA4BLly5hzJgxOHLkCB4+fAjg0SVwpUqVwrvvvotBgwbBYDBkeI/4+HiMGzcO+/fvR2JiIoQQkCQJxYoVQ5MmTTBq1Cj4+PgUzg5Tnp04cQLDhw/H6dOnM4wZjUaDypUrY/LkyYiKirIvz813mfT0dMyZMwcbNmzA7du37et4e3sjKioKkyZNQrly5QphbykvZs+eDV9fX7z//vv2Zbk5hjjj5w4LNiIiIiIiIgfFe9iIiIiIiIgcFAs2IiIiIiIiB8WCjYiIiIiIyEGxYCMiIiIiInJQLNiIiIiIiIgcFAs2IiIiIiIiB8WCjYiIiIiIyEGxYCMiIiIiInJQLNiIiIiIiIgcFAs2IiIiJ2OxWJCenq5oBiEEkpOTFc1AROQOWLAREZHDWbNmDSRJyvHP1KlT7dvo1q0b9Ho9du7cqeCe5K+VK1eicuXK8PDwwNtvv61oli+++ALe3t4ICQnB4MGDYTKZFM1DROSqNEoHICIi+qcGDRpgwYIFEEJkWH737l1MnDgRAwYMQPny5Z9Yr1GjRvbf9+/fD7PZjCNHjuDNN98s8MwFbdKkSRg7diw6deqEAQMGoEGDBormeffdd+Hl5YWTJ09i/vz5+PPPP7Fv3z5IkqRoLiIiVyOJfx4NiYiIHNSlS5dQvnx57N27F/Xq1cuy78SJE7FlyxZ8/vnnqFWrVuEELCCJiYkIDg7G5MmTMWDAAKXjPOHEiROoXr06du/ejfr16ysdh4jIpfCSSCIickljx47FiRMnnL5YA4DvvvsOGo0GPXr0UDrKU1WrVg2NGzfGmjVrlI5CRORyWLARERE5uJiYGFSpUgVGo1HpKJmqUaMGYmNjlY5BRORyWLAREZFL+uWXX1CuXDnIsvxEW3h4OH788Ud8/fXXqFatGgwGAyRJQrFixdCiRQtcunQJALBr1y68/PLL8Pb2hiRJ8PX1RVRUFNavX5/p+wohsH37dtSrVw9BQUH2CVG0Wi0qVKiA1q1b49y5cznal7i4OJQoUSLT9p9//hlhYWGQZRnff/89mjVrBn9/f6jVauj1ejz//PPo0KEDrl69muk21qxZg2rVqsFoND4xmUupUqXQvn17xMXFZbp+iRIlsmwnIqLc4aQjRETkkmJjY3HlyhXIsgyVKuO/T16+fBlTp07FqVOn0L59e3Tq1Ak6nQ43btzAV199hbp162LJkiVo2bIlmjVrhsaNG6No0aJ48OABdu7ciXbt2sFqtaJjx45PvO/EiRMxfvx41K1bF126dEGpUqWgUqlgsVhw8+ZNfPfdd6hWrRp2796NV155JVv78vDhQ3h5eWXafvPmTVy9ehUjRozAnDlz0LhxY3Tr1g0lS5aELMuIjY3F5s2bUalSJRw5cgSVK1fOsP7+/fvRsWNHtGzZEp06dYLBYLC3CSFw/vx5bN68Ge3atcP+/fufmsHb2xtJSUnZ2h8iIso+FmxEROSWTp06hXPnzqFUqVIZlnfv3h2VKlVCixYtsHz5cnTt2jVD+8iRI1G3bl3MnDnziYItLi4O06dPx5AhQ/DJJ588dcbEqVOnomHDhhgyZAgOHTqU7bzZmX3x+++/x5UrVxAUFPRE25QpUxAVFYWPP/4YO3bsyNC2evVqVK1aFVu2bMn0fRo0aIDWrVvj5s2bKF26dK7yERFRzvGSSCIickt/n/36p+eeew5RUVEoVqwYOnfu/ES7Wq1Ghw4dcObMmScutzx06BDS09MxdOjQTAsYnU6HAQMG4I8//sCDBw/yZV/+tmDBgqcWawDg4eGBPn36YN++fU88LiEmJgYVKlTIsuhq0qQJhg0bBh8fn3zNTEREWWPBRkREbik0NDTTtqCgIJQtW/aJSykfb7darbh7926G5deuXYOnpydKliyZ5XuHhYUBAK5fv57D1Fl76aWXsmwPCQlBSkoKEhISMiz38/N7ZvFoMBgwY8YMeHt75zUmERHlAC+JJCIit+Th4ZFpm9FofGY7AKSlpWVYnpiYCC8vr2fOlmgymQDgiYIvr9RqdZbtfxdbiYmJGSYxeeWVV9C/f3+sWbMGtWrVgl6vz7Cen59flv89iIio4LBgIyIiyke3b99GcHBwtvo+PrmHkrp37449e/Y8dRKVv1WoUAGzZs3CW2+9VYjJiIiIBRsREVE+8vPzw8qVK5/Zz2AwOMxDvbVaLTZt2oSrV6/i8uXLSE9Pt7cJIZCYmIg1a9agTZs2uHDhAsqUKaNgWiIi98KCjYiIKJ/8/bw2Zz0LFRoamum9fS1btoSfnx9+/vlnvP/++4WcjIjIfXHSESIionwSGhqKe/fuITU1Nct+t27dQkhICK5cuVJIybK2ePHiLB+qDQCenp7w8/NDfHx8IaUiIiKABRsREVG+qVmzJvR6PRYuXJhlv88//xx37tyBv79/ISXL2syZM/HZZ59l2ef+/ftISEjI9LEBRERUMHhJJBERUT4JCgrCxx9/jGHDhmHv3r3257mpVCrYbDYkJibi0KFD2LlzJ0aOHJntmRc1Gs0TM1Lmp3feeQczZ87E3bt3ERkZaZ8FE3h0D9vDhw+xZcsWeHp64o033njqNiwWCzQafq0gIspv/GQlIiKnUaxYMQQGBiIgIOCZfUuXLo3Q0NCnPkutXLlyKF26dKbrhoSEZFl8+Pv7o2TJkihSpMgTbePHj0fVqlUxb948LFu2DHFxcQAAlUqFEiVKoEKFClixYgW6dOnyzH14/P3++OOPTNsDAwMz3dfHlSxZEiVLloSfn1+G5RMmTAAArFu3Dhs2bIDNZsvQXrRoUVStWhW7du3K9Blzd+7cydbfhYiIckYSQgilQxAREVHmFi9ejJkzZ+LSpUuQJEnpOE/13nvvITU1FevXr1c6ChGRS+E9bERERA6ufv36uHr1Kn755RelozzV/fv3sXHjRjRo0EDpKERELodn2IiIiJzAO++8g127dmHSpEmoVasWqlSpAk9PT8XyyLKMM2fO4Ny5cxgzZgwePnyIK1euOMzDwImIXAXPsBERETmBFStWoF27dhg0aBBq1aqFNm3aKJrniy++QNWqVdG2bVsUK1YMv//+O4s1IqICwDNsRERETiQlJQUXLlyAj48PwsPDFcuRlJSEkydPomLFiihRooRiOYiIXB0LNiIiIiIiIgfFSyKJiIiIiIgcFAs2IiIiIiIiB8WCjYiIiIiIyEGxYCMiIiIiInJQLNiIiIiIiIgcFAs2IiIiIiIiB8WCjYiIiIiIyEGxYCMiIiIiInJQ/w9FAVzGzMVmewAAAABJRU5ErkJggg==",
      "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": "1bdad3f4",
   "metadata": {},
   "source": [
    "Let's add the fifth sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "338aa448",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:53.112077Z",
     "iopub.status.busy": "2025-05-07T16:54:53.111927Z",
     "iopub.status.idle": "2025-05-07T16:54:53.340334Z",
     "shell.execute_reply": "2025-05-07T16:54:53.339849Z"
    }
   },
   "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": "ae500d6a",
   "metadata": {},
   "source": [
    "Let's add the sixth sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "76787b64",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:53.343367Z",
     "iopub.status.busy": "2025-05-07T16:54:53.343217Z",
     "iopub.status.idle": "2025-05-07T16:54:53.577883Z",
     "shell.execute_reply": "2025-05-07T16:54:53.577409Z"
    }
   },
   "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": "a17a21f9",
   "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": "d350e14f",
   "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": "7369a2fe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:53.581471Z",
     "iopub.status.busy": "2025-05-07T16:54:53.581312Z",
     "iopub.status.idle": "2025-05-07T16:54:56.197469Z",
     "shell.execute_reply": "2025-05-07T16:54:56.196202Z"
    }
   },
   "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": "328b0f2d",
   "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": "972a64c6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:56.202104Z",
     "iopub.status.busy": "2025-05-07T16:54:56.201721Z",
     "iopub.status.idle": "2025-05-07T16:54:56.415095Z",
     "shell.execute_reply": "2025-05-07T16:54:56.413955Z"
    }
   },
   "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": "b45ca07b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:56.418917Z",
     "iopub.status.busy": "2025-05-07T16:54:56.418531Z",
     "iopub.status.idle": "2025-05-07T16:54:56.459321Z",
     "shell.execute_reply": "2025-05-07T16:54:56.458127Z"
    }
   },
   "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": "6827f1c7",
   "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": "e6c7f7db",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:56.463037Z",
     "iopub.status.busy": "2025-05-07T16:54:56.462658Z",
     "iopub.status.idle": "2025-05-07T16:54:56.595662Z",
     "shell.execute_reply": "2025-05-07T16:54:56.595074Z"
    }
   },
   "outputs": [
    {
     "data": {
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zRb333DC6IwIAAJiPEAbYkLc7Io05AAAArEcIA2yI6YgAAADxQwgDbKjmdEQqYQAAANYhhAE2RCUMAAAgfghhgA3RmAMAACB+CGGADXnDVkoSjTkAAACsRggDbMg3HdHBdEQAAACrEcIAG6IxBwAAQPwQwgAbojEHAABA/BDCABuq1ZgjicYcAAAAViGEATZUWasS5p2OSCUMAADAbIQwwIa8YSslyXtOmHc6IpUwAAAAsxHCABuqdU6Yg0oYAACAVQhhgA3V7o5IJQwAAMAqhDDAhmpeJ8w7LbHSTQgDAAAwGyEMsKHqxhyBlTBDksdgSiIAAICZCGGADVU35gjsjlh1H9UwAAAAMxHCABsKdbHmqvuohAEAAJiJEAbYUO3GHFTCAAAArEIIA2yoZiUsxa8SRnMOAAAAcxHCABuq2ZjD6fCvhDEdEQAAwEyEMMCGfI05TlbAHA6HL5AxHREAAMBchDDAhmpOR/T/P5UwAAAAcxHCABuq2ZjD//9UwgAAAMxFCANsKFglzDs1sZIQBgAAYCpCGGAzhmGEqIQxHREAAMAKhDDAZtxGdchKCTgnjOmIAAAAViCEATbjH7JozAEAAGC95FhtaN++fVq9erV27NihvXv3qmnTprr33nvVqlUrzZ07V5mZmRowYICSkpJitUsADeAfsmjMAQAAYL2YhLBnnnlGjz/+uA4dOqSWLVuqVatWKikpUb9+/XTVVVfppZde0ooVKzRo0CB9+OGHatGiRSx2C6ABQlXCqhtzUAkDAAAwU9TTEZcsWaLJkyfrpz/9qfbu3auysjKtXr1ahmHIOHnuyd/+9jd98skn+uKLL/TCCy9EPWgADRe6EuadjkglDAAAwExRh7Bnn31WgwcP1vTp09W2bVtJksPhqLXcoEGDdP3112vevHnR7hJAFCrdVSEryeEIeK5WT0ekEgYAAGCmqEPY5s2bdfHFF0e0bM+ePVVUVBTtLgFEIVh7+qrvqYQBAABYIeoQVlxcrA4dOkS0bIsWLXTgwIFodwkgCsEu1Fz1PZUwAAAAK8SkRb3TGdlmgk1TBGAtlxG8EpZCJQwAAMASUYew5ORkVVZWRrSsy+WiRT0QZ3VVwioJYQAAAKaKOoTl5ORo165dES27Z88edenSJdpdAoiCtzFH6HPCmI4IAABgpqhDWO/evfXhhx/K5XKFXc4wDP31r3/V2WefHe0uAUTBG7JSQp4TRiUMAADATFFfrPnRRx/Veeedp8svv1wTJkxQ165ddezYMUnS7t27tWHDBhUVFenFF1/U119/rbfeeivqQQNouNDTEamEAQAAWCHqENanTx8tXbpUkyZN0qhRowKab4wdO1YOh0OGYah3795asmSJ+vTp06D9HDx4UE8++aSWLFmiffv2+S4E3aZNGw0cOFBTp04N26XR5XJp2rRpmjNnjg4dOuS7PTk5Wd26ddOjjz6qQYMGNWhsQCIJ1aI+JYnGHAAAAFaIOoRJ0pAhQ/TVV1/p4MGD2rFjh8rKynz3tWzZUl27dtVpp53W4O273W4NGTJEw4YN0/Lly9WmTRtf2CsrK9Mbb7yhAQMGaO3atWrevHnQbfzmN7/Rv//9b3322Wc6/fTTfbcbhqHPP/9cN910kz799FN17dq1weMEEgGNOQAAAOIrJiHMq3Xr1urbt28sNylJWrBggXJyclRQUFDrvvT0dE2YMEHffPONZs2apYkTJwbdxkcffaSnn346IIBJVW3zL7zwQt166636y1/+ovHjx8d8/EBjUukJ0ZjDwXREAAAAK8TkOmFmW7dunQYPHhx2mfz8fK1bty7k/RMnTgw7FbJTp07as2dPg8cIJApfY44kGnMAAADEQ0KEsOLiYnXs2DHsMpmZmdq5c2fI+3/0ox+pSZMmYfdx7rnnNniMQKKgMQcAAEB8RTwd8eOPP1ZxcXHUO8zKytKVV15Zr3XcbnedF3lOTk6us01+MC6XS59//rk++ugjPfDAA2GXraioUEVFhe/78vLyeu8PiLdQjTmohAEAAFgj4hD205/+VNu2bat1u7f7YV28jTRyc3O1ZcuWegwx9n73u99p+vTpkqQDBw7I4/FoyZIldTYPmT59uh599FErhgiYxlcJcwRWwrzTE70XcwYAAIA5Ip6OuHXrVnk8nlpfhmHohRdeCHqf9+vf//63LrroIo0YMUIbN26MetCbNm1Sbm6uNm/e3KD1J0yYoNLSUpWWlurQoUP67LPP9NBDD2n16tVh15syZYrKysp8X0VFRQ3aPxBPIRtzMB0RAADAEpacE3bOOedo0aJF+utf/6rZs2dHvb0ePXpo27ZtOvPMM6PeVpMmTfSDH/xAM2bM0LRp08Ium5qaqlatWgV8AYmmzsYcBpUwAAAAM1nWmKNt27YaOnSo3n333XqvG8n5Xi6XS8nJDe+4f84552jt2rUNXh9IFDTmAAAAiC9LuyP27NlTGzZsqPd6WVlZKi0tDbtMSUmJOnfuHPS+tWvX6o477gi7vtPplNOZEM0igaiEbMzhoDEHAACAFSxNHaeffroOHDhQ7/Xy8vJUWFgYdpnCwkLl5eUFve+0007T559/HraByNdff61u3brVe2xAoglVCatuzEElDAAAwExRhzCn0ym32x3Rst4OifU1fPhwFRcXq6CgQPv37w8IU+Xl5Zo5c6YWL16scePGBV0/KytLbdu21TPPPBPQYl6SDMPQli1bNHHiRI0fP75B4wMSSWXIFvXe6YhUwgAAAMwUdQjLzs7W7t27I1r2u+++U3Z2dr33kZSUpGXLlunYsWMaOHCgMjMzlZGRoYyMDPXv31/r16/XypUrlZaWJklavny5unfv7ruOl8Ph0Lx587Rx40b16NHDt25GRoY6deqkm266Sffdd5+uvfbaeo8NSDTekJVS65ww73REKmEAAABmangni5N69uypTz75JKJlly1bph49ejRoP+np6ZoxY4ZmzJhR57KDBg3S1q1bA27r2LGjXn311QbtGziVhL5YM5UwAAAAK0RdCZsyZYq++OIL3XHHHVq/fr3Ky8sDrhFWXl6utWvX6sc//rH++c9/6qGHHorFuAE0UOjuiFTCAAAArBB1Jeyyyy7Ta6+9pilTpujNN98MuoxhGGrfvr1effVVXXrppdHuEkAUQlXCvNMTK6mEAQAAmCrqECZJY8aM0Y033qhNmzZpx44dKisr892Xnp6unJwc9ejRQ82aNYvF7gBEoe5KGCEMAADATDEJYZLUrFkz9e3bV3379o3VJgGYoNLtDWGhzgljOiIAAICZuDoxYDOuk5d4CN0dkUoYAACAmQhhgM2Eno5IJQwAAMAKMZmO6KnHJ+dOJ7kPiCcacwAAAMRX1ImoW7duSklJifire/fusRg3gAaiMQcAAEB8RV0JmzVrlnbt2hXyfpfLpRUrVmju3LkaN26crrnmmmh3CSAKNOYAAACIr6hDWH5+fp3L3HnnnfrRj36kO++8U5MnT452lwCi4A1ZNOYAAACID8tO0Lr++uuVm5urGTNmWLVLAEHQmAMAACC+LO2SMXjwYC1dutTKXQKogcYcAAAA8WVpCMvIyAh7/hgA87kMGnMAAADEk6UhrFmzZjp+/LiVuwRQA405AAAA4svSELZv3z5lZmZauUsANdCYAwAAIL4sDWH/+Mc/uE4YEGc05gAAAIivqFvUR+Lw4cN67rnntGzZMs2fP9+KXQIIIWRjjiRvCKMSBgAAYKaoQ9jAgQO1ffv2kPcfPnxYZWVlatKkiR5++GGNGDEi2l0CiELoSlhVKKukEgYAAGCqqEPYmDFjtHPnzpD3t2rVSjk5Obrgggs4HwxoBCpDVMKqpyNSCQMAADBT1CHsxz/+cSzGAcAi3pDlnX7olezwNuagEgYAAGAmSxtzAIi/UOeEUQkDAACwRtQh7OjRo6YuDyC2fOeEOQKf/ilJVMIAAACsEHUIy8rK0rvvvhvRsm+//bY6d+4c7S4BRKGuSpjHMOQxCGIAAABmiTqEHTx4UAcPHoxo2c2bNystLS3aXQKIQmUd3RElpiQCAACYydJzwpYvX64zzjjDyl0CqKG6RX3wSljVMlTCAAAAzNKg7oiek2/ijJNTljwej++2mo4ePaqioiK98MIL+uyzz7R06dIGDhVALHgDVq3uiFTCAAAALFHvStgbb7yh5ORkpaSkqEmTJpKkCRMmKCUlJehXenq6zj77bM2dO1cvvPCCrrjiipg/CACRC3Wx5hQqYQAAAJaodyXsqquu0htvvCHDMGQYhu644w6NHj1aQ4YMCbp8WlqacnJy1LNnT7Vo0SLqAQOITqjGHE5H9feVbiphAAAAZql3COvQoYNuu+023/d33HGHLrzwQt1+++0xHRgAc4SqhDkcDiU7HXJ5DKYjAgAAmCjqxhyPPfaY8vPzYzEWABbwdUd0OGrdV33BZqYjAgAAmKVBjTn8/epXv4rFOABYJFRjDql6iiKVMAAAAPNY2qIeQPyFmo4oVTfncHGxZgAAANPUqxJWUFCgVatW6cYbb9TYsWMlSRs2bFBpaWnE28jIyFCvXr3qN0oAMWEYRsjGHFW3VYUwGnMAAACYp14hbPr06XK5XNq7d68vhA0ZMkR79uyJeBsdOnTQ7t276zdKADHh8atwBauEMR0RAADAfPUKYS+99JI+++wzjRgxwnfbxo0bdfDgwYi30bp16/rsEkAMVfqFq3CVMBpzAAAAmKdeIezOO+/UnXfeGXBbenq60tPTYzooAObwD1cpVMIAAADigsYcgI24AiphwUIYlTAAAACzWRrCSkpKNGfOHCt3CcCPf7hKCjId0Vsdq6QSBgAAYBpLQ9i8efP005/+1MpdAvDjrYQ5HQ45g16s2TsdkUoYAACAWSwNYf/85z/VtWtXK3cJwE+lO3R7+qrbvdMRqYQBAACYJeLGHLNnz9bOnTsbtJOKigqtX79eS5cu1SuvvNKgbQCInjdcBWvKIVEJAwAAsELEIeydd97Rjh07GrSTpk2bqmvXrpo7d65GjRrVoG0AiJ7LoBIGAAAQbxGHsE8//dTMcQCwgDdcBeuMKEkpJ8MZjTkAAADMQ4t6wEa80wzrroQxHREAAMAshDDARird4SthXKwZAADAfIQwwEbqbsxBJQwAAMBsEZ8TVpddu3bp888/1/bt21VWVua7PT09XV27dtUFF1ygTp06xWp3ABqg7umIVMIAAADMFpMQ9vDDD+uZZ55RRUWF2rRpo5YtW/ruO3TokL7//nulpqbq5z//uR577LFY7BJAA9TZmCOp6nYacwAAAJgn6umIf/rTnzRt2jRNmTJFZWVl2rdvn7Zv3+772rdvn8rLyzVlyhRNmzZNf/rTn2IxbgANUGclzMF0RAAAALNFHcJmzpyp/Px8PfLIIwEVMH8tWrTQI488ovz8fM2cOTPaXQJooMo6KmFMRwQAADBf1CFs69atuvDCCyNa9sILL9TWrVuj3SWABqqejkiLegAAgHiJOoSVlJSoffv2ES3brl077d69O9pdAmggb7jynvtVE5UwAAAA80UdwpKTk1VZWRnZzkJMgQJgDV8lzBG+MQeVMAAAAPNEnYratWunPXv2xGIsAExWd4v6k90R3VTCAAAAzBJ1COvfv7++/PLLWIwFgMkibsxhEMIAAADMEnUIGzdunAoLC/Xf//43FuMBYCIacwAAAMRf1Bdrvvjii3Xbbbfpyiuv1LRp03TRRRcpKSkp6LJ79+6VJG3fvl2GUf0mr3Xr1mrTpk20QwFQhzobczhozAEAAGC2qENYz5499d1330mSxowZI4cj+CfsknzBq3v37gG3tW/fXqWlpdEOBUAdXHVMR6QxBwAAgPmiDmGffvqpL4Q1VKQt7gFEh8YcAAAA8Rd1CDvrrLN01llnxWIsAExWV4v66uuEUQkDAAAwCxfuAmykMsJKGOeEAQAAmIcQBtiIN1yFbMxBJQwAAMB0hDDARuo6JyzFWwnjOmEAAACmiUkIW7VqlUaOHKkzzjhDaWlpSkpKCvl15plnxmKXABqgru6I3nBGYw4AAADzRN2Yo7CwUFdccYVycnJ0ww03KCsrS82aNQu5fFZWVrS7BNBAkXZHZDoiAACAeaIOYVOnTtXZZ5+tL774Qk2bNo3FmACYpDLCShiNOQAAAMwT9XTEjRs3auTIkQQwIAH4GnOEDGFUwgAAAMwWdQjbv3+/Tj/99FiMBYDJIm7MQSUMAADANFGHsGbNmunQoUOxGAsAk0XcmIMQBgAAYJqoQ1iPHj20YcOGWIwFgMlozAEAABB/UYewSZMmae7cuVqxYkUsxgPARN7W8zTmAAAAiJ+ouyPecsstcrvdGjJkiPr166euXbuqefPmIZfv0qWLCgoKot0tgAaono5IJQwAACBeog5he/fu1W9/+1u5XC7t3LlTbrc77HXCXC5Xg/d18OBBPfnkk1qyZIn27dsnw6h6o9imTRsNHDhQU6dOVYcOHcKu/6tf/UqLFy/WsWPHfLcnJyfrzDPP1BNPPKGLL764weMDGjtvuArVHZHGHAAAAOaLOoQ98MAD2rJliz7++GPl5+fHYkxBeattw4YN0/Lly9WmTRs5HFWf5peVlemNN97QgAEDtHbt2pCVuIkTJ6p169Zav3690tLSfLd7PB599tlnGj16tFatWqXMzEzTHgcQTy6DxhwAAADxFvU5YR999JHuuOMOUwOYJC1YsEA5OTkqKChQ27ZtfQFMktLT0zVhwgQNHTpUs2bNCrmNpUuX6sknnwwIYJLkdDp1ySWX6KabbtKiRYtMewxAvNGYAwAAIP6iDmF79+7VGWecEYuxhLVu3ToNHjw47DL5+flat25dyPsnT54cdqpkdna2ioqKGjxGoLGjMQcAAED8RR3CkpOT5bHgDVtxcbE6duwYdpnMzEzt3Lkz5P0TJ04Mu/769evVvXv3Bo0PSAQ05gAAAIi/qENYbm5u2OATK263W0lJSWGXSU5ObnDjjw8//FBLly7ViBEjQi5TUVGh8vLygC8gkdTZmCOJxhwAAABmizqEjRs3TvPnzw/oNphIDhw4oDFjxmjixIlauHChTjvttJDLTp8+Xenp6b6v7OxsC0cKRK+6ElZXYw4qYQAAAGaJujvilVdeqQ8//FDnnnuu7rnnHuXk5IS9TliHDh3Uu3fvaHerTZs26aqrrtLSpUt15pln1nt9wzA0b948TZ48Wdddd52+/PJLpaenh11nypQpmjRpku/78vJyghgSSuSNOaiEAQAAmCXqEJafn6/vvvtOknTffffVuXyHDh20e/fuaHerHj16aNu2bQ1at6ioSGPGjJFhGFqyZEnEoTA1NVWpqakN2ifQGFTWVQlzeBtzUAkDAAAwS9QhbNOmTTp48GDEy7du3bpB+4nkfC+Xy6Xk5PAP6YsvvtCNN96oKVOmaOzYsQGt7oFTHZUwAACA+Is6hHnPjzJbVlaWSktLwy5TUlKizp07h7z/4MGDGjlypObOnatLLrkk1kMEGj1vuArdmINKGAAAgNmibswRqWPHjunNN9/UQw891KD18/LyVFhYGHaZwsJC5eXlhbz/2Wef1c0330wAg21FWgnzGIY8BkEMAADADKaHsK+//lr33XefMjMzdccdd2jr1q0N2s7w4cNVXFysgoIC7d+/X4bfG8Ty8nLNnDlTixcv1rhx40JuY82aNbr66qsbtH/gVBBpd0T/ZQEAABBbpoSw48eP66233tIll1yiPn366N1339W4ceP0zTffaN68eQ3aZlJSkpYtW6Zjx45p4MCByszMVEZGhjIyMtS/f3+tX79eK1euVFpamiRp+fLl6t69e8C1vL7//ntdf/31vvWCfY0ePTomPwOgMaqM8GLNElMSAQAAzBL1OWH+NmzYoJdffllvvfWWDh48KIfDoYceekgPPvigmjZtGvX209PTNWPGDM2YMaPOZQcNGlSr6vaPf/wj6jEAiax6OiKVMAAAgHiJuhJWUVGhOXPm6NJLL1VeXp5eeeUVXX/99Vq0aJEMw9CFF14YkwAGIHq+xhxJoUIYlTAAAACzNbgStnHjRl/V6/vvv1ePHj303HPP6fbbb1d6erp27doVy3ECiIG6GnMk+V2yodJNJQwAAMAM9QphJ06c0Pz58zVr1iytXLlSTqdTI0aM0N13363BgwebNUYAMVJXYw6Hw6Fkp0Muj8F0RAAAAJPUK4T16dNHW7ZsUWpqqgoKCjR27Fh17NjRrLEBiDFfJSzMRcqTnU65PG6mIwIAAJikXueEXXPNNWratKmOHz+uOXPmaN68eTpw4IBZYwMQY5V1VMKq7vNesJlKGAAAgBnqFcJ+/etfq6SkRM8//7yaNm2qSZMmKSsrSz/5yU/05ZdfmjVGADFSV2MOqTqgubhYMwAAgCnq3R0xPT1d9957r9auXatVq1Zp1KhRevfdd/WDH/xAF1xwgd566y0dP37cjLECiIJhGHU25pCkFG8IoxIGAABgiqha1F900UV64403VFJSoueee05Hjx7VmDFjlJWVpUceeUSOMOedALCWx6+yFcl0RLojAgAAmCPq64RJUuvWrXXfffdp3bp1WrFihYYOHap3331XhmHoscce0/vvvy+XyxWLXQFoIP9GG+EqYb7piDTmAAAAMEVMQpi/AQMG6K233vJVxw4dOqQbb7xRnTt31qOPPqqSkpJY7xJABCr9phfSmAMAACB+Yh7CvE477TRNmDBBX3/9tf72t7/p8ssv11NPPaU+ffqYtUsAYbgCQhiVMAAAgHgxLYT5u/TSSzVnzhzt2rVL/+///T8rdgmghsDpiKGf+jTmAAAAMFe9LtYcrTZt2qhNmzZW7hLASd5Q5XQ45Ax7seaTjTmohAEAAJjCkkoYgPiLpD191f1UwgAAAMxECANswttyPtxUxKr7vY05qIQBAACYgRAG2ITLoBIGAADQGBDCAJvwhqqUOiphKVTCAAAATEUIA2yivueEVVIJAwAAMAUhDLAJbyUs8nPCCGEAAABmIIQBNlHdmCPSc8KYjggAAGAGQhhgE9XTEamEAQAAxBMhDLCJiBtzJFEJAwAAMBMhDLCJiBtzOGjMAQAAYCZCGGATNOYAAABoHAhhgE1UemjMAQAA0BgQwgCboDEHAABA40AIA2yCxhwAAACNAyEMsImIG3OcDGne64oBAAAgtghhgE3UuzGHQQgDAAAwAyEMsIn6VsKYjggAAGAOQhhgE5WRVsIcNOYAAAAwEyEMsAlXhC3qacwBAABgLkIYYBPeUOUNWaHQmAMAAMBchDDAJnyVMEek1wmjEgYAAGAGQhhgE/VvzEElDAAAwAyEMMAmIm7MQSUMAADAVIQwwCYirYSleCthXCcMAADAFIQwwCa80wvrbsxRFdJozAEAAGAOQhhgE1ysGQAAoHEghAE24ar3OWFUwgAAAMxACANsojLCizVTCQMAADAXIQywCd90xDquE5ZCi3oAAABTEcIAm6hvYw4qYQAAAOYghAE2Ud/GHJVUwgAAAExBCANsgsYcAAAAjQMhDLAJ73W/aMwBAAAQX4QwwCaqpyNSCQMAAIgnQhhgEy7jZGOOOkJYCpUwAAAAUxHCAJugMQcAAEDjQAgDbILGHAAAAI0DIQywCRpzAAAANA6EMMAmaMwBAADQOBDCAJuono4YvhKWkkQlDAAAwEyEMMAmvKGqru6INOYAAAAwFyEMsAlvi/o6pyM6vNMRqYQBAACYgRAG2ESlu34t6jknDAAAwByEMMAm6t+inkoYAACAGQhhgE1EerFmb2MOj2HIYxDEAAAAYo0QBtiEtxJWd2OO6pDGlEQAAIDYI4QBNhFpJcx/uiJTEgEAAGKPEAbYRH3PCfNfBwAAALFDCANsojLCizVTCQMAADAXIQywierpiOGf9kkOKmEAAABmIoQBNuFrzJEU/mnvcDh81bJKNyEMAAAg1ghhgE34KmGO8NMRJf8LNjMdEQAAINYIYYBNRNqYo2oZ7wWbqYQBAADEGiEMsIlIG3NULXOyEsbFmgEAAGKOEAbYgGEYETfmkKov6EwlDAAAIPYIYYANePwqWnU15pBEYw4AAAATEcIAG/BvsFGv6Yg05gAAAIg5QhhgA/7TCmnMAQAAEF+EMMAGKgNCGJUwAACAeEroEHbw4EFNnjxZeXl56tixozIyMpSRkaFevXrp7rvv1p49eyLazurVq9WlSxcdOXLE5BED8RE4HZHGHAAAAPGUsCHM7XZryJAhSktL0/Lly1VSUqLS0lKVlpZq9erV6tmzpwYMGKCjR4+G3c7f//533XTTTTpw4IAqKystGj1gLW+YcjocckZ0seaTjTmohAEAAMRcwoawBQsWKCcnRwUFBWrbtq0cfm8s09PTNWHCBA0dOlSzZs0KuY1Vq1bplltu0cKFC9WmTRsrhg3ERXV7+roDWNVyVMIAAADMkrAhbN26dRo8eHDYZfLz87Vu3bqQ9zdp0kRLlixRv379Yj08oFFx+S7UHNlTvroxB5UwAACAWEuO9wAaqri4WH369Am7TGZmpnbu3Bny/h/84AexHhbQKFVSCQMAAGg0EjaEud1uJSUlhV0mOTlZLpcrZvusqKhQRUWF7/vy8vKYbRswU30rYSlUwgAAAEyTsNMR42H69OlKT0/3fWVnZ8d7SEBEOCcMAACg8ThlQtimTZuUm5urzZs3m7aPKVOmqKyszPdVVFRk2r6AWPKGqZR6nhNWSQgDAACIuYSdjlhTjx49tG3bNlP3kZqaqtTUVFP3AZih4ZUwpiMCAADEWsJWwiI538vlcik5+ZTJmUCDVbob2h2RShgAAECsJWwIy8rKUmlpadhlSkpK1LlzZ4tGBDRe1Y05IquEpSRRCQMAADBLwoawvLw8FRYWhl2msLBQeXl5Fo0IaLyqpyNGWAlz0JgDAADALAkbwoYPH67i4mIVFBRo//79MozqT+zLy8s1c+ZMLV68WOPGjYvjKIHGgcYcAAAAjUfChrCkpCQtW7ZMx44d08CBA5WZmamMjAxlZGSof//+Wr9+vVauXKm0tDRJ0vLly9W9e/eQ1/Zq3769mjRpYuVDACzjMmjMAQAA0FgkdNeK9PR0zZgxQzNmzKhz2UGDBmnr1q0h7//iiy9iOTSgUanvxZppzAEAAGCehK2EAYhcdXdEGnMAAADEGyEMsIF6N+Zw0pgDAADALIQwwAZozAEAANB4EMIAG6iuhNGYAwAAIN4IYYAN1Lsxh4PGHAAAAGYhhAE2UOmpX2MOKmEAAADmIYQBNlDfxhzV3RGphAEAAMQaIQywgQY35nBTCQMAAIg1QhhgAw1vzEElDAAAINYIYYAN1Lsxh9PbmINKGAAAQKwRwgAbqGxoJcygEgYAABBrhDDABupbCUuhEgYAAGAaQhhgAw09J6zSTSUMAAAg1ghhgA34uiMm1fecMEIYAABArBHCABtoeHdEpiMCAADEGiEMsIFK7zlhDiphAAAA8UYIA2ygujFHZJWwFCphAAAApiGEATZQPR0x0krYycYcVMIAAABijhAG2ACNOQAAABoPQhhgAzTmAAAAaDwIYYANeK/3Ffl0RCphAAAAZiGEATbgMmjMAQAA0FgQwgAb8E1HjLhFPY05AAAAzEIIA2yAxhwAAACNByEMsAEacwAAADQehDDABmjMAQAA0HgQwgAb8IapiBtzJFEJAwAAMAshDLCB6umINOYAAACIN0IYYAPeFvUpkYYwh3c6IpUwAACAWCOEATbQ8MYcVMIAAABijRAG2ED1OWH1bcxBJQwAACDWCGGADVS661cJ8zbm8BiGPAZBDAAAIJYIYYANNLQSJkluqmEAAAAxRQgDbMA7rTClnueESXRIBAAAiDVCGGAD0VTCaM4BAAAQW4QwwAZcRsO6I0o05wAAAIg1QhhgA5Xu+lXCkhxUwgAAAMxCCANsoHo6YmSVMIfDQZt6AAAAkxDCABuovlhz5E9577LeKhoAAABigxAG2IC3EpZSrxDmrYQRwgAAAGKJEAbYQHUlLLLpiFXLVr08uLhYMwAAQEwRwoBTnGEYvmt91Wc6ordqRiUMAAAgtghhpxDDMGRQtUANHr9jon6VMBpzAAAAmIEQdoq46YPlOv03c7Vh38F4DwWNjH+IojEHAABA/BHCThF7jhzX/mMV+nzXvngPBY2M/3TClCQacwAAAMQbIewUcUGndpKkf+zaG+eRoLEJrIQ1oDEH0xEBAABiihB2iriw0+mSCGGordKvkkVjDgAAgPgjhJ0iLsisCmHrvzugQxWVcR4NGhNviHJIcjpozAEAABBvhLBTRMeWzdUlPU2GpH/t5rwwVKu+Rlj9nu6+xhxUwgAAAGKKEHYKuYApiQjCWwmrT1MOiUoYAACAWQhhpxDOC0Mw1ZWwyKciVi3POWEAAABmIISdQrwh7PNde7loM3y80wnrOx0xhUoYAACAKQhhp5B+GW2U4nRqz5Hj+rbscLyHg0aCShgAAEDjQgg7hTRNTlbfjDaSmJKIaq4GVsK8oY3GHAAAALFFCDvFcF4YavJWwlIaXAljOiIAAEAsEcJOMdXnhdGmHlWirYQxHREAACC2CGGnGG8I+7J0vypc7jiPBo1BpdsbwqiEAQAANAaEsFNM19Yt1K55qk64PfrPnu/jPRw0Ag29WHMKjTkAAABMQQg7xTgcDs4LQ4Dq6Yj1rYTRmAMAAMAMhLBTkP/1wgCX0bBKGNMRAQAAzEEIOwVdkEklDNW8lbAUGnMAAAA0CoSwU9APMtvJIWn7wcP67sixeA8HcRb9xZqphAEAAMQSIewUlN60iXqd3loSrerh3x2xno05kmjMAQAAYAZC2CmK5hzwojEHAABA40IIO0VxXhi8GtqinumIAAAA5iCEnaIuzKoKYV+U7JWbSoatNbgxh4PGHAAAAGYghJ2ierVLV4smyTp8wqX/7iuL93AQRzTmAAAAaFwIYaeoJKdT/ZmSCFWf00VjDgAAgMaBEHYKuyCznSRCmN1F25iDShgAAEBsEcJOYd7zwghh9hZtYw5vi3sAAADEBiHsFObtkLhh70GVV5yI82gQLw1uzEElDAAAwBSEsFNYhxbN1LV1CxmS/lnCRZvtKurGHAaVMAAAgFhKmBB28OBBTZ48WXl5eerYsaMyMjKUkZGhXr166e6779aePXvq3MaaNWs0bNgw5ebm+tbv1KmT+vfvr9mzZ8vtdlvwSKzF9cLQ4MYcVMIAAABMkRAhzO12a8iQIUpLS9Py5ctVUlKi0tJSlZaWavXq1erZs6cGDBigo0ePhtzGmjVrNGrUKP3f//2f/vvf//rWLyoq0ttvv62//OUv+sUvfmHho7KG97ywz3dRCbOr6FvUUwkDAACIpYQIYQsWLFBOTo4KCgrUtm1bORzVbybT09M1YcIEDR06VLNmzQq5jYKCAv3ud7/T0KFDlZqa6rvd6XSqR48eeuedd/T+++9HVFFLJBd2qq6EGQYVDTtyNbAS5g1tNOYAAACIreR4DyAS69at0+DBg8Muk5+fr4ULFzZ4G2lpaTrvvPO0adMmdejQoaFDbXT6dmijJklO7T16XMu279bpzVPl8hhyeTy+f92GIYcccjokp8Ph91X1vePk/x1yyOGQHKq+vfr/J/+Vqpb3/uu3ntNveUOSxzDkMQy5PVX/evxuMwzJUFVorPp/tap9BI7HEWTfNZfz7sd98st/3/JbRzXWT3Y6lexwVP3rrPo3yelQstMhw1D1Nv23f/L/hqrGbnj/f3Jf1Y+/+jF7vzcMQ0nO6t9DkvdfZ9WYArenk9urHbC9j2bPkWOSpJSkhlXCdh06qg82fhvk5141piSHo/rn4vd/+f+OazxW77i9n6f4/9x18vF5Th4D3t+/9zHXfLzVP4PgPxf/Y6khqp4bjpO/EynJ4fQ9N7z7DzZO73Hgfa65jZP/egwZMpTkqD6Okk5uP9np9G03GO+2/Z8j3mPQ8BtLzXH5Houj+rio+Ryquq36uPc+drdR9Rgq3VXjr/R4qr73GDIMI+hzzfs89x67tV9TqsdR6zFG8Luq+Ri8/6/5ew+3vfru3/+49z5G78/cd1yr+v/edfwfc9VroMM31qp1gh/jQcfm93oT+Nyqer74/x6cjupj139/Hhm1Xnscku91LcnhfU47A15zvPv3/xk5VP18r/lvitOh1OQkpSYlKTXZWfXvyf87HQ4dOeHSkUqXDp+o1JHKqv8fOeHSMZfL9zrov1/vdzWPJf/v3R7j5PF68rlneHzPwXAcNY9Pv/34/32Rah7n9XtNrcnpqP23Sgp87fA+/7y3OXzPq9qPv+Z4/F9Kgv3c/J+fDt/tklPVt3uMqp9jzfcNrpN/47yvXd7XRf//h+L/vDFkBPy+g/1t8P5dqPk6U3Vbzfcl1eN3+D1WI+D5GbjvWttW7ddC/78zNdX1nqTmMv6/e6fffrz/9/6ua/7rMYyA53ft353/77XqerH+y3nHoRrjqvm7Cfi+xmub97Wq+jWu+rFWv7YHPmeC8f18avysvWuFev/n3af/3xHvPlOSnGqf1izMXhufhAhhxcXF6tOnT9hlMjMztXPnzpD3l5WVqUWLFlFtIxGlJiepX0Ybfb5rn6589+N4DwdxlOyoXyWsaXKSJGntdwd03fxPzRgSAABA1Hq0baWNd4+M9zDqJSFCmNvtVlJSUthlkpOT5XK5otpPXduoqKhQRUWF7/vy8vKo9meVe847S9+W/Usewwha1XE6FPAJrv8npFWf2p/8NESBFR3/SkXNT0o8fsvV/OTeY6jWp3j+n+wF+zReCvxEKtinx/6fpNXcf1V16eQndQ5HwP/9p7cG+/S16hPJ6k//KkN8qur9FLHmp4vBPh2TFFDtcjqqKnjeT6tqVgZ91UK/yoOkWj+r6scR+H2r1BT96Iysug8WP/ldO+qGXjnaVV51rmVVVa92Bcbl+/S5utJT6fEEfJrs/YTU/9PlYBUr7//9Kwb+nxTW/ATUq+anpjWPn5o/n5rCfWZXs+LgX/H0337NcVZXuZy+apd/daH6E3uPrzrr/XQ5nJr7CfbzqflJbPXPu/Zzxf8TR8mv6nHyd5LkcCglqeoxpDidVVWOk9/7/x5rfqId7PXE//u6PiUNxb+aHPj/4JXVYFvy/wl7q3m+fQcZQ6ifW2ClK7CS4j+umpUy71iD/Z7qqrB4n0feCoT3/97h1vy02vtaHXKmgxxVr3M1j8eTr3u+n0uQn63HCKz2+ldMTrg9qnB5VOF2V32d/P+Jk9ObmyYnKS0lWWkpyWrRJEVpTar+3yw5qdZrp/9+a1Yz/I8rp0MBFfkkZ/Vzz/9nWrOSbij43y9v1dr/0/iax0IdLy0hhfpbJSno+Gv/rZbcHo/v5+B9PQq6ryBVIP/XMf/nbs2fq6STz/eT7xkc1e8dHA7VngEi/6pN6J9OQKVWgZWgYBVQ39/7Gn8rar4P8P8d+v8eA6tFgVVi/30F+53UrGhJNd+P1H5tqPk+RUGWqfV+6eT4k/ye3zUrjZJ8770CH2uQv1V+f7Nqvl76P+ZQf0urf1fV78tqVrvqmrXifdz+av+cAp9XtX/WNV9Tg78e1/eUi8YgIUJYYzF9+nQ9+uij8R5Gvd3ap5tu7dMt3sM4pXhOhg7vm23/F+lTReumqZo3clC8hwHgFOKd3pSUgG+YACCWEvJVcNOmTcrNzdXmzZsbvI2nnnpKw4YNq9c6U6ZMUVlZme+rqKiowftHYnM6HGqSlKSUJKfvUyIAQHiOkzMRAMDuErIS1qNHD23bti2qbfzyl7+s9zqpqakBnRUBAAAAoL4S4uOoSM73crlcSk6OLlPGYhsAAAAAEE5ChLCsrCyVlpaGXaakpESdO3cOeX/r1q11+PDhqLYBAAAAANFKiBCWl5enwsLCsMsUFhYqLy+vwds4cuSI1qxZox49ejR4nAAAAABQl4QIYcOHD1dxcbEKCgq0f//+gHaX5eXlmjlzphYvXqxx48aF3MZjjz2m+++/X4sXLw5oM+/xeLR161bdcsstuv7660+pCzUDAAAAaHwSIoQlJSVp2bJlOnbsmAYOHKjMzExlZGQoIyND/fv31/r167Vy5UqlpaVJkpYvX67u3bsHXMerX79++uCDDzRr1iydddZZvvWzsrL0v//7v7rqqqs0Y8aMeD1EAAAAADbhMGpeRQ0RKy8vV3p6usrKytSqVat4DwcAAABAnNQnGyREJQwAAAAAThWEMAAAAACwECEMAAAAACxECAMAAAAACxHCAAAAAMBChDAAAAAAsBAhDAAAAAAsRAgDAAAAAAsRwgAAAADAQoQwAAAAALAQIQwAAAAALJQc7wEkMsMwJEnl5eVxHgkAAACAePJmAm9GCIcQFoVDhw5JkrKzs+M8EgAAAACNwaFDh5Senh52GYcRSVRDUB6PRyUlJWrZsqUcDkdcx1JeXq7s7GwVFRWpVatWcR0LEgvHDhqC4wYNwXGDhuLYQUNYfdwYhqFDhw4pMzNTTmf4s76ohEXB6XQqKysr3sMI0KpVK16c0CAcO2gIjhs0BMcNGopjBw1h5XFTVwXMi8YcAAAAAGAhQhgAAAAAWIgQdopITU1VQUGBUlNT4z0UJBiOHTQExw0aguMGDcWxg4ZozMcNjTkAAAAAwEJUwgAAAADAQoQwAAAAALAQIQwAAAAALEQIAwAAAAALEcIS2MGDBzV58mTl5eWpY8eOysjIUEZGhnr16qW7775be/bsifcQEUdz5sxR3759A46Njh07qlevXvrNb34jl8sVsHxhYaHy8/OVk5PjWz47O1uXXnqpPvjgA9HDx97cbrdGjhyp999/P+B2jht4FRYW6pJLLlGnTp18x4L3eBg2bJg2bNgQsPyWLVt0880364wzzvAtm5mZqXPPPVdPP/20Kioq4vRIYKU9e/Zo7Nix6tq1a8Bx07VrV40ePVpFRUUBy/Pex94OHz6sq6++Wq+88krA7WvWrNGwYcOUm5vrOyY6deqk/v37a/bs2XK73bW2FffXIAMJyeVyGeeee64xdepUY9++fYbH4/Hdd/DgQeO3v/2t0a1bN+PIkSNxHCXi5dNPPzV69+5tbNq0qdZ9paWlxjXXXGM8//zzvtsWLFhg5OXlGStWrDBOnDjhu72ystJYs2aNcckllxgzZ860ZOxonB588EGjSZMmxuuvv+67jeMGXps3bza6dOli/OMf/wj4e2QYVX+v5s2bZ5xxxhnG8ePHDcMwjKKiIiM7O9t45513Av5OeTweY+fOncbYsWON6667ztLHgPi48sorjccff9w4duxYwO2VlZXGq6++avzgBz8w3G63YRi897G7srIy45JLLjG6dOliPPfcc77b//Wvfxldu3Y1Fi9e7HuNMQzDcLvdxsaNG41rr73WeOCBBwK21RhegwhhCer99983Ro4cGXaZ8ePHG7/5zW8sGhEak8mTJxt/+MMfQt6/ceNGo3///r7ve/fubXz11Vchly8uLjYyMzMNl8sV03EiMSxcuNDo27evMW7cuIAQxnEDr2nTphnTpk0Lu8zll19urFmzxjAMw7jnnnsCPgiqye12G+ecc47x5ZdfxnScaFwOHjxodO7cuVZw9zdgwABjw4YNhmHw3sfOjh49alxwwQXGo48+ahQUFASEsKuvvtr48MMPQ657+PBho3PnzkZpaanvtsbwGsR0xAS1bt06DR48OOwy+fn5WrdunUUjQmNy0UUX6Yorrgh5f3Z2tm+KR2Vlpfbt26c+ffqEXL5Tp07q0KGDdu3aFfOxonHbsmWLJkyYoPnz56tZs2a+2zlu4G/Hjh3q1q1b2GWGDx8up7PqbUddf8OcTqcuv/xy/oad4r777jt17NhRDocj5DJZWVm+v1e897EvwzA0adIkPfLII7Xuq+u4SEtL03nnnadNmzZFvI4Vr0GEsARVXFysjh07hl0mMzNTO3futGhEaEyGDx+u3NzckPevX79e3bt3lySVlpbq9NNPr3ObHE/2c+TIEV133XV6/vnna73B5riBvxMnTig1NTXsMuPHj1ffvn0l8TcMVbp27arvv/9eHo8n5DJFRUW+v2ccN/bVvHlz3XDDDUHvKysrU4sWLcKuX/O4aAzHEiEsQbndbiUlJYVdJjk5uVbzBWDXrl266667dN9990mK7FiSOJ7sxjAMjRs3TldffbWGDRtW636OG9R08OBBjR8/Xv369QtosNC7d2+NGzdOJSUlvmX5Gwap6nfcv39/PfTQQzpw4EBAI5+Kigq9/fbb2rFjhy+EcdygoWoeF43hWCKEATZhGIbeeOMN9e3bV2PGjNH1118f7yGhEXvhhRe0e/duPf744/EeChLEU089pSuvvFKrVq1SaWmpSktLtXv3bq1atUq9e/fW//zP//DmGLX86le/0ksvvaQ2bdqoXbt2ysjIUIcOHdS8eXONHTtW77//vm8aK3Aq4ag+RWzatEm5ubnavHlzvIeCRmjz5s268sorNWvWLH300UeaMGFC2OXvuece3XPPPRaNDo3NqlWr9Oyzz+q9995TcnJyxOtx3NjbjTfeqGuuuUbNmzf33eZwONS6dWtNmDBBWVlZ+vvf/x503Tlz5qhfv35WDRWNxN69ezVs2DC98sorOnz4sPbv36/S0lLt2bNH5eXlevvtt/XUU0/pxIkTQdfnvQ+Ceeqpp4LO4AgnHq9Bkf91RaPWo0cPbdu2Ld7DQCPjdrs1bdo0zZ49W4899phuu+22iD5R/P3vf2/B6NAYlZaW6uabb9a7776rDh061Gtdjht769mzZ9j7zz77bH3zzTe6/PLLa913yy236JZbbjFraGik5s6dq2uvvVajRo2qdV9aWppGjRqlzz//XO+//75Gjx5daxne+yCYX/7yl/VeJx6vQYSwBBXJPFWXy1WvT7Fxajl8+LBuvvlmJScna+3atWrdunXQ5SKd88zxdOpzuVy68cYbNXHiRA0YMCDsshw3qMm/e2YwzZs315EjRyTxNwxVNm7cqAsvvDDsMnl5efrnP/+p0aNHc9ygwWoeF43hWOIoTVBZWVkqLS0Nu0xJSYk6d+5s0YjQ2PzsZz9TVlaWfv/734dt/5uRkaF9+/bVuT2Op1PfqlWrtGbNGm3cuFFPPfVUrfvLysrUpEkTzZ8/XwsXLuS4gU9aWpqOHz8edpljx44pMzNTUvXfsHbt2oVcvqSkxNdNEaemSN7gOhwO35tl3vsgmNatW+vw4cNhOyTWPC4aw2sQ54QlqLy8PBUWFoZdprCwUHl5eRaNCI3Jli1btHTpUj377LNhA5hU9Ufw9NNP13/+85+Qy5SUlGjPnj3q1KlTjEeKxmTgwIE6fPiw9uzZ42us4P9144036s0339Rf/vIXjhsEyM3N1ZYtW8Iu89///tfX5a6uv2Eej0effvopf8NOcbm5udqwYUPYZTZs2KCuXbtK4r0PgqvruDhy5IjWrFmjHj16RLyOJa9Bpl0GGqZyuVzG+eefbzzyyCPGvn37Aq42X1ZWZjz//PNGt27djMOHD8dxlIiXefPmGWPGjIl4+UWLFhlnn322sWLFCuPEiRO+210ul/Hvf//buOSSS8JeWR72cPvttxsLFizwfc9xA6+SkhKja9euxqeffmq43e6A+06cOGG89tprRs+ePY3jx48bhmEYxcXFRnZ2tjFnzhzjyJEjvmU9Ho9RXFxsjB071hg5cqSljwHW27t3r9GlSxdj6dKlhsvlCrjP5XIZS5YsMTp16mSUlJT4buO9DwoKCoznnnvO9/2XX35p5OTkGH/5y198rzGGYRhut9vYsmWLMXz4cGPSpEkB22gMr0FMR0xQSUlJWrZsmaZNm6aBAwdq//79vutrtG7dWgMHDtTKlSuVlpYW55EiHvbv36/3339fS5YsCblMSkqKPv/8c2VmZmrYsGFq0aKFpk6dqi1btqiiosK3TJcuXTRx4kSNHDnSquGjkUpPTw+Y7sFxA6+OHTvq/fff14MPPqhbb71VlZWVvvtSU1N10UUXafHixb4LOnfq1EmffPKJHn74YU2dOlWHDh2SVDX1rEOHDrrpppv0/PPPx+WxwDrt2rXTokWL9Mtf/lI/+clPAo6b5ORk9e7dWwsWLPBdVJf3PpCkVq1aqWXLlr7v+/Xrpw8++EAFBQUaP368jh49KklyOp3q1KmTxo4dqzvvvDNgG43hNchhGH5XxgMAAAAAmIpzwgAAAADAQoQwAAAAALAQIQwAAAAALEQIAwAAAAALEcIAAAAAwEKEMAAAAACwECEMAAAAACxECAMAAAAACxHCAACwkePHj6uysjLewzDN4cOHZRhGvIcBAGERwgAggbz++utyOBwRfb311lvxHi4aCY/HoxkzZujMM89UWlqa7r//ft99r7/+urp37659+/bVa5vFxcXq3LmzlixZUuu+xx57THfeeWfE2zIMQz179tQnn3xSrzHUdOTIEZ122mlq3bq1hgwZoo0bN0a1PQAwS3K8BwAAiNy3336r9PR0PfHEE2GXczgcuvzyyy0aFRq7sWPH6s0339Rdd92lX/7yl/rhD3/ou+/bb7/VN998o8mTJ+u1116LeJvjx49XUVGRdu3aVeu+bdu2aevWrRFvy+12a9OmTdq5c2fE6wSTlpamjz/+WGvWrNE777yj888/X6tXr1ZeXl5U2wWAWCOEAUCCadGihe699954DwMJ4ptvvtHrr7+uhQsXatiwYSGXe/3113X77bdr4MCBdW7zww8/1MKFC2M4ytgZPHiwBg8erHvvvVeXX365nnnmGb355pvxHhYABGA6IgAAp7D33ntPPXv21DXXXBNymY4dO+qSSy7RXXfdpYqKirDbO3z4sO69996w22sMmjZtqvvvv19z586V2+2O93AAIAAhDACAU1hRUZHOP/98ORyOkMs4nU7NmjVL27Zt09NPPx12e1OnTtX333+vF154IdZDjbnzzjtPJ06c0N69e+M9FAAIQAgDABs444wztGjRIknSRx99pGuvvVZZWVlKT0/Xd999F7Ds2rVrNWLECJ1xxhlKSUnxNfrIzs7WkCFD9Ne//jXsvv7zn/9o+PDh6t69u1JSUuR0OtWuXTsNGDBAv/vd71RZWanBgwfr5ZdfrrVu9+7dtXTp0jofz+DBg/XKK68Eve/w4cOaMmWKzj33XLVq1co3/vT0dJ1//vl6+OGHdezYsaDrvvbaa7rssstkGIbmzJmj/Px8tW/fXk6nU82bN1deXp7+7//+r9bPzJ/H49Hs2bN18cUXKyMjw7f/lJQUZWdn68Ybb9TatWtrrVdQUKBbb721zsce6XJeJSUlOv300+tcrlevXvrFL36hadOmafPmzUGX+eqrr/Tb3/5WTzzxhDp37hzxGBrqxIkT+vnPf67OnTsrKSkpZBOayZMnB13f+7hLSkpMHysA1AfnhAGADWzdulVFRUX6xS9+oV//+te68sorNWrUKPXu3Vtt27b1LVdYWKgf/vCHys3N1bXXXqtOnTopJSVFHo9He/bs0Weffaarr75aTz/9dNA3vh9//LGuuuoq9ejRQyNGjFBmZqacTqf27dunrVu36le/+pU+/PBDbd68OWgThm+++UbFxcV1Pp7t27fr22+/rXV7RUWFzj//fO3YsUM333yzRo0apZYtW0qSDh06pK1bt+qZZ57RokWLtGbNGqWkpASsv3PnTm3dulW33nqrPvjgA11zzTUaN26cTj/9dJ04cULffvut3nvvPc2fP18bNmxQ+/bta43hjjvu0JtvvqkRI0boyiuvVNu2beVwOHTs2DFt2rRJy5cv16BBg/TVV18pOzvbt963336r7du31/nYI13O69ChQ2rRokVEyz744IOaO3eu7r77bi1btiygeubxeHTXXXfpnHPOseycxEcffVS/+93vdPPNN6tPnz5q0qRJwP0LFy5UYWGhBgwYEHR97+++vLzc9LECQH0QwgDAJhYuXKg9e/boP//5j/r06RN0mUmTJumCCy7QJ598otTU1Fr3G4ahKVOm6PHHH9eYMWMCQohhGHrggQc0ePBgLV26VMnJtf/EHD16VKNHjzatMvHiiy9qy5Yt+vLLL3XOOecEXWbixIk655xzNHv2bN1999217t+9e7eKi4tVUlKi1q1b17p/6tSpOuuss/TYY4/VmpK3Zs0avfnmm3rjjTd0++23B91/eXm5OnfurD/+8Y964IEH6v8gGyDcVER/zZo100svvaQrrrhCc+bMCai4zZo1S//85z/1xRdfBP3dmuGDDz7QPffco+eee67Wff/+97/185//XPfdd5+uvfbaoOtH+rgBwGqEMABIMC6XK2S1KCMjI+Qb5FWrVunLL7/UWWedFfT+AwcOaO3atZo3b17QACZVvan92c9+pqefflqrV68OePN74MABrV+/XtOmTQs5hubNm+vVV1/1TY2MteXLl+uHP/xhyAAmSWeffbauuuoqffzxx0FDmFTVKTBYAJOkdu3a6fbbbw86bfLvf/+72rZtG3a6YKtWrfTyyy8HVMEak/z8fN1yyy2aNGmShg4dqrZt22r37t2aMmWKJkyYoPPOOy+i7VRUVERU1ZSqjulgpkyZossuu6zW7d9//71Gjhypc889V7/+9a8j2gcANCaEMABIMHv27An5Bv6uu+7SH/7wh6D3XXbZZSEDmCTt2LFDkpSbmxt2/+3atVPLli19y9dcv65zhdq0aWNaANmxY4cuvfTSOpfLzc3VihUrgt6XkZGhrl27hl2/S5cu2r59uwzDCKi2bN++XVlZWXI6w59yfcMNN9Q5xnh69tlntXjxYk2ePFmvvvqqJk6cqFatWumxxx6LeBv/+te/ov4933bbbbVu83g8uuWWW3T06FH98Y9/rDVFEQASASEMABJMmzZtQl73qG/fviHX6927d9jtlpWVSZKOHTtWZwWjVatWtTrOec+7ieT8I7OmiZWVlcnpdNY5/qSkpJAd85KSkurcT8uWLXX06FG53e6Aql95eXnE5181Zu3bt9eMGTM0duxYZWZmat68efrwww/r9djOOusszZgxI6Jl3W63hg8fHtGyjz/+uD7++GMtW7ZMnTp1ing8ANCYEMIAIME0a9ZMP/rRj+q9XqtWrSJaLtj0r2CaNm1a7zFYYebMmZo5c2ady3Xr1s2C0SQub4ORJ554Qtddd129rwvWpk2biI/TUNMRa1qyZIkeffRRzZgxQ4MGDarXeACgMSGEAQACzJo1S5mZmWGXcTgcITvSxdsNN9wQUQv3uqYc2p3T6dSbb76pX//615o6dWq8h6Nt27Zp9OjRGjFihGUNTQDALIQwAICk6nbeF198sc4+++x6r5+eni6p6jpd0YwhkvVDVU5atmyp7OzsBlUKY6FVq1YNfvzNmzcPef0yfwcOHGjQ9hsiNzdXL730kmX7C+XYsWO67rrr1L59e73++ut0PQSQ8LhYMwBAUnVlqKioKOxyhmHosssu07vvvhtwe05OjiQFvf5XpHJycupcf/v27dq1a1fQ+7p27Vrn+CXppZdeMiWode3aVTt37pTH4wm73Pz58/XFF18E3JaTk6Pi4mIZhhFyvcrKSq1ZsyYmY00UhmHopz/9qbZs2aIPPvgg6LTaFStWaOXKlXEYHQA0DCEMACBJOu2009S7d2+9+OKLYUPE3/72N61YsaLWlMXWrVsrLy9PM2fOjPgcn5oGDhyot956S/v27Qt6f1lZme68886Q61922WX685//XKtzo7+jR49q5syZateuXYPGGM5ll12mAwcOhGycIlU17/jJT35SqzvjRRddpO+++04ffPBB0PWOHz+u8ePHhwygp6qXX35Zb7zxhmbPnq1evXrVut8b0ubOnRuH0QFAwzAdEQAgqeo8r+eee07/8z//o379+mno0KHq0KGDkpOTZRiGDh8+rI0bN2r+/Pm67LLLap0T5nA49Jvf/MZ3na4f/ehHysjIUEpKSq19eTsp1vTwww/rvffeU8+ePXXzzTcrOztbTZo00f79+7Vlyxb9+c9/1rBhw0K2Pr/33nv18ssvq0+fPho9erS6dOni6+hXUVGh0tJSLVq0SCUlJZozZ06UP7HazjvvPP34xz/WHXfcoT//+c/q27evTjvtNDkcDh07dkybN2/W8uXL5XA4NGrUqIB1L730Ug0fPlw33HCDbrzxRvXq1Uvp6ek6cOCAioqK9OGHHyo1NVUDBw6sV8hNTk5WZWVlrB+qJb7++mvdd9996tGjh/bt21fr4tjl5eX65JNP9PXXX+vFF1+stb73cVt1cWkAiBSvSgCQQDp37uyb9lcf3bp1U5cuXepc7oorrtCaNWtUUFCgP/7xj/r222/ldrslVVXKsrOz9eCDD2r8+PFBw1V+fr6+/PJLFRQUaP78+QHrR6J9+/basGGDHnnkEX3yySfatm2bjh8/rjZt2uicc87RSy+9pFtuuUWDBw8O+niaNm2qNWvW6IknntBHH32kd955R4cOHfLd17FjRw0YMEAPPPBA0Hb+2dnZdV4nTZIyMzPVtWvXoNcDmz17ti6++GK99tpr+v3vf6/vvvtOUlXr+w4dOmjAgAF66KGHgl5P7Y9//KNmzpyp9957Tx999JG+//57ZWZmqmfPnrrzzjs1adIk/exnP9PWrVvrHKNXRkZGyHb8UtUx1dBOkd26dVNWVlat23NycuoV/JxOp3JycmqF63/96186ceKENm3apPHjx9dar0mTJjrjjDP0zjvvBL0+nPdn37Fjx4jHAgBWcBjhJp8DAGCCnJwc3XLLLXriiSfiPZSEM2bMGG3dujXic6B+8Ytf6F//+pcKCwtNHlnj8/e//10DBw7U0aNH1axZs3gPBwB8OCcMAIBGYMaMGbrrrrvqXM7tdkd0QWmv/Px8ffrpp9q0aVM0w0tIL7/8si666CICGIBGh+mIAAA0AgcPHtTSpUvl8XiCTnP02rFjR72mpObn5+v888/XwIED9eSTT+qcc85RXl6emjRpEoNRNz67d+/W119/rTlz5uidd97RokWL4j0kAKiFEAYAQCNw1VVXafr06Ro5cqQuvfRSpaamBtxfWVmp//znP1q5cqUmTZoU8XYdDof++te/auzYsb7OknfffXfQRhaJ7siRI8rOzpbb7VZ6erreffddDRs2LN7DAoBaCGEAAMt17tw5okYhdnLppZfqzTff1IwZM/TRRx/p+PHjAfc3adJEXbt21QsvvKDhw4fXa9vt2rXTggULVFZWpo0bNwZtpnEqSEtL08qVK9W2bVvl5ubWa9omAFiJxhwAAAAAYCEacwAAAACAhQhhAAAAAGAhQhgAAAAAWIgQBgAAAAAWIoQBAAAAgIUIYQAAAABgIUIYAAAAAFiIEAYAAAAAFiKEAQAAAICF/j/B1yljGHHh6QAAAABJRU5ErkJggg==",
      "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",
    "data = acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len]\n",
    "xf = rfftfreq(1000, 1 / 1e3)\n",
    "yf = abs(rfft(data)) if np.any(data) else np.zeros(len(xf))\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": "92842645",
   "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": "c61c6414",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:56.598242Z",
     "iopub.status.busy": "2025-05-07T16:54:56.598092Z",
     "iopub.status.idle": "2025-05-07T16:54:56.604148Z",
     "shell.execute_reply": "2025-05-07T16:54:56.603420Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integration results:\n",
      "I = 0.5290752320468979\n",
      "Q = -0.16533170493404983\n",
      "R = sqrt(I^2 + Q^2) = 0.5543060290325901\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": "a852f9c9",
   "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": "4bdc4055",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:56.607283Z",
     "iopub.status.busy": "2025-05-07T16:54:56.607010Z",
     "iopub.status.idle": "2025-05-07T16:54:57.113850Z",
     "shell.execute_reply": "2025-05-07T16:54:57.112669Z"
    }
   },
   "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": "73aee501",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:57.117861Z",
     "iopub.status.busy": "2025-05-07T16:54:57.117459Z",
     "iopub.status.idle": "2025-05-07T16:54:57.171115Z",
     "shell.execute_reply": "2025-05-07T16:54:57.169970Z"
    }
   },
   "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": "2d8097fb",
   "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": "8e8c4f16",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:57.174899Z",
     "iopub.status.busy": "2025-05-07T16:54:57.174495Z",
     "iopub.status.idle": "2025-05-07T16:54:57.309624Z",
     "shell.execute_reply": "2025-05-07T16:54:57.309141Z"
    }
   },
   "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",
    "xf = rfftfreq(1000, 1 / 1e3)\n",
    "data = acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len]\n",
    "yf = abs(rfft(data)) if np.any(data) else np.zeros(len(xf))\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": "4a44fe7b",
   "metadata": {},
   "source": [
    "Now let's check if the hardware demodulated and integrated results match our expectations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ad712677",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:57.312303Z",
     "iopub.status.busy": "2025-05-07T16:54:57.312151Z",
     "iopub.status.idle": "2025-05-07T16:54:57.397894Z",
     "shell.execute_reply": "2025-05-07T16:54:57.396747Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequencer 0\n",
      "Integration results:\n",
      "I = 0.266133365901319\n",
      "Q = -0.08319443087445041\n",
      "R = sqrt(I^2 + Q^2) = 0.27883378879628096\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 1\n",
      "Integration results:\n",
      "I = -0.12415974596971179\n",
      "Q = 0.06242745481191988\n",
      "R = sqrt(I^2 + Q^2) = 0.1389706070849432\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 2\n",
      "Integration results:\n",
      "I = 0.055956033219345384\n",
      "Q = -0.04013971665852467\n",
      "R = sqrt(I^2 + Q^2) = 0.0688641743366689\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": "4d6557e8",
   "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": "c89a32d9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:57.401652Z",
     "iopub.status.busy": "2025-05-07T16:54:57.401238Z",
     "iopub.status.idle": "2025-05-07T16:54:58.398861Z",
     "shell.execute_reply": "2025-05-07T16:54:58.397675Z"
    }
   },
   "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": "c0bb66e0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:58.402897Z",
     "iopub.status.busy": "2025-05-07T16:54:58.402504Z",
     "iopub.status.idle": "2025-05-07T16:54:58.470536Z",
     "shell.execute_reply": "2025-05-07T16:54:58.469337Z"
    }
   },
   "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": "d8e9163e",
   "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": "2435a342",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:58.474381Z",
     "iopub.status.busy": "2025-05-07T16:54:58.473999Z",
     "iopub.status.idle": "2025-05-07T16:54:58.607587Z",
     "shell.execute_reply": "2025-05-07T16:54:58.607100Z"
    },
    "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",
    "xf = rfftfreq(1000, 1 / 1e3)\n",
    "data = acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len]\n",
    "yf = abs(rfft(data)) if np.any(data) else np.zeros(len(xf))\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": "a7c93de0",
   "metadata": {},
   "source": [
    "Note that we lose a little bit of power over the frequency range, but that is to be expected due to frequency dependent 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": "4a5a14a9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:58.610595Z",
     "iopub.status.busy": "2025-05-07T16:54:58.610447Z",
     "iopub.status.idle": "2025-05-07T16:54:58.775554Z",
     "shell.execute_reply": "2025-05-07T16:54:58.774428Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequencer 0\n",
      "Integration results:\n",
      "I = 0.07982755251587689\n",
      "Q = -0.025376648754274547\n",
      "R = sqrt(I^2 + Q^2) = 0.08376402833360455\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 1\n",
      "Integration results:\n",
      "I = -0.07617391304347826\n",
      "Q = 0.03591108939912066\n",
      "R = sqrt(I^2 + Q^2) = 0.08421443682758332\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 2\n",
      "Integration results:\n",
      "I = 0.0696370297997069\n",
      "Q = -0.045967757694186616\n",
      "R = sqrt(I^2 + Q^2) = 0.08344070149966813\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 3\n",
      "Integration results:\n",
      "I = -0.05963947239863215\n",
      "Q = 0.054405959941377625\n",
      "R = sqrt(I^2 + Q^2) = 0.0807271648525451\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 4\n",
      "Integration results:\n",
      "I = 0.050549584758182706\n",
      "Q = -0.06159599413776258\n",
      "R = sqrt(I^2 + Q^2) = 0.07968266444493419\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 5\n",
      "Integration results:\n",
      "I = -0.04065363947239863\n",
      "Q = 0.06728138739618954\n",
      "R = sqrt(I^2 + Q^2) = 0.07860981804016531\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": "33547858",
   "metadata": {},
   "source": [
    "Taking the power loss over frequency into account, the amplitudes of the IQ vectors match our expectations again."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2db491a",
   "metadata": {},
   "source": [
    "Real mode\n",
    "---------------\n",
    "\n",
    "Many applications require multiple outputs to be controlled independently and only output real signals instead of a modulated IQ pair. To achieve this we will connect one sequencer to each output and only use path 0 to control an even numbered output and path 1 to control an odd numbered output. To demonstrate this, we will simply output an independently timed sine on output $\\text{O}^{1}$ and a sawtooth on output $\\text{O}^{2}$, which we will then acquire on the inputs.\n",
    "\n",
    "*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 existing 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": "0b8211fd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:54:58.779419Z",
     "iopub.status.busy": "2025-05-07T16:54:58.779001Z",
     "iopub.status.idle": "2025-05-07T16:55:01.375910Z",
     "shell.execute_reply": "2025-05-07T16:55:01.374700Z"
    }
   },
   "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": "e49ed76f",
   "metadata": {},
   "source": [
    "Lets create a Q1ASM program to sequence the waveforms for sequencer 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "57410514",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:55:01.380459Z",
     "iopub.status.busy": "2025-05-07T16:55:01.380060Z",
     "iopub.status.idle": "2025-05-07T16:55:01.404213Z",
     "shell.execute_reply": "2025-05-07T16:55:01.403196Z"
    }
   },
   "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": "f85d3e5b",
   "metadata": {},
   "source": [
    "Let's configure both sequencers and connect them to their respective outputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "90308d16",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:55:01.407958Z",
     "iopub.status.busy": "2025-05-07T16:55:01.407572Z",
     "iopub.status.idle": "2025-05-07T16:55:01.690204Z",
     "shell.execute_reply": "2025-05-07T16:55:01.688985Z"
    }
   },
   "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": "a8c98743",
   "metadata": {},
   "source": [
    "Now, let start the sequencers and visualize the resulting sequence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "38cb0c8c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:55:01.694080Z",
     "iopub.status.busy": "2025-05-07T16:55:01.693689Z",
     "iopub.status.idle": "2025-05-07T16:55:01.886904Z",
     "shell.execute_reply": "2025-05-07T16:55:01.886295Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "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": "3700d990",
   "metadata": {
    "title": "CLEANUP"
   },
   "source": [
    "As expected, we see a sine and sawtooth that are independently sequenced on the outputs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ead5841",
   "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": "49cb9f62",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-07T16:55:01.890742Z",
     "iopub.status.busy": "2025-05-07T16:55:01.890431Z",
     "iopub.status.idle": "2025-05-07T16:55:08.017226Z",
     "shell.execute_reply": "2025-05-07T16:55:08.016081Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Snapshot:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4:\n",
      "\tparameter                    value\n",
      "--------------------------------------------------------------------------------\n",
      "connected                     :\tTrue \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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