{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f2c4880d",
   "metadata": {
    "tags": []
   },
   "source": [
    "Multiplexed sequencing\n",
    "======================\n",
    "\n",
    "The Cluster QRM/QCM supports six sequencers. The output of each sequencer is multiplexed, accumulated and connected to the output ports of the instrument.\n",
    "\n",
    "- In the first part of the tutorial we will demonstrate how to connect multiple sequencers to a single pair of output ports.\n",
    "- In the second part of the tutorial we will demonstrate frequency multiplexing by assigning different unique modulation frequencies (frequency of the carrier) to the sequencers. We will then show how to acquire, demodulate, and integrate the received frequency multiplexed waveforms.\n",
    "- In the third part of the tutorial we will demonstrate \\\"real mode\\\", where we will output real signals on each individual output port of the instrument.\n",
    "\n",
    "We will show this by using a [QRM](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/qrm.html) and connecting outputs $\\text{O}^{[1-2]}$ to inputs $\\text{I}^{[1-2]}$ respectively. We will then use the QRM's sequencers to sequence waveforms on\n",
    "the outputs and simultaneously acquire the resulting waveforms on the inputs (using the same sequencers)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c73e9c2",
   "metadata": {
    "title": "PREAMBLE"
   },
   "source": [
    "Setup\n",
    "-----\n",
    "\n",
    "First, we are going to import the required packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "61f39058",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:22.324763Z",
     "iopub.status.busy": "2024-09-18T14:50:22.324552Z",
     "iopub.status.idle": "2024-09-18T14:50:23.289048Z",
     "shell.execute_reply": "2024-09-18T14:50:23.288208Z"
    }
   },
   "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": "caeb04c4",
   "metadata": {},
   "source": [
    "### Scan For Clusters\n",
    "\n",
    "We scan for the available devices connected via ethernet using the Plug & Play functionality of the Qblox Instruments package (see [Plug & Play](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/api_reference/tools.html#api-pnp) for more info)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "671717d5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:23.291509Z",
     "iopub.status.busy": "2024-09-18T14:50:23.291310Z",
     "iopub.status.idle": "2024-09-18T14:50:25.311633Z",
     "shell.execute_reply": "2024-09-18T14:50:25.307977Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No devices found\r\n"
     ]
    }
   ],
   "source": [
    "!qblox-pnp list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c46461d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:25.318514Z",
     "iopub.status.busy": "2024-09-18T14:50:25.318299Z",
     "iopub.status.idle": "2024-09-18T14:50:25.323558Z",
     "shell.execute_reply": "2024-09-18T14:50:25.322866Z"
    }
   },
   "outputs": [],
   "source": [
    "cluster_ip = \"10.10.200.42\"\n",
    "cluster_name = \"cluster0\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9b6f53f",
   "metadata": {},
   "source": [
    "### Connect to Cluster\n",
    "\n",
    "We now make a connection with the Cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f8b1de03",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:25.325734Z",
     "iopub.status.busy": "2024-09-18T14:50:25.325552Z",
     "iopub.status.idle": "2024-09-18T14:50:26.151321Z",
     "shell.execute_reply": "2024-09-18T14:50:26.150620Z"
    },
    "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": "4b9016d2",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "source": [
    "#### Get connected modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8333efce",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:26.153573Z",
     "iopub.status.busy": "2024-09-18T14:50:26.153368Z",
     "iopub.status.idle": "2024-09-18T14:50:26.157233Z",
     "shell.execute_reply": "2024-09-18T14:50:26.156593Z"
    }
   },
   "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": 6,
   "id": "4bc71cf9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:26.158977Z",
     "iopub.status.busy": "2024-09-18T14:50:26.158796Z",
     "iopub.status.idle": "2024-09-18T14:50:26.183595Z",
     "shell.execute_reply": "2024-09-18T14:50:26.183077Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{4: <Module: cluster0_module4 of Cluster: cluster0>}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# QRM baseband modules\n",
    "modules = get_connected_modules(cluster, lambda mod: mod.is_qrm_type and not mod.is_rf_type)\n",
    "modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "982431ea",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:26.185423Z",
     "iopub.status.busy": "2024-09-18T14:50:26.185151Z",
     "iopub.status.idle": "2024-09-18T14:50:26.188157Z",
     "shell.execute_reply": "2024-09-18T14:50:26.187544Z"
    },
    "lines_to_next_cell": 0
   },
   "outputs": [],
   "source": [
    "readout_module = modules[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3e0bf56",
   "metadata": {},
   "source": [
    "### Reset the Cluster\n",
    "\n",
    "We reset the Cluster to enter a well-defined state. Note that resetting will clear all stored parameters, so resetting between experiments is usually not desirable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "03983fab",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:26.190032Z",
     "iopub.status.busy": "2024-09-18T14:50:26.189850Z",
     "iopub.status.idle": "2024-09-18T14:50:28.660922Z",
     "shell.execute_reply": "2024-09-18T14:50:28.660157Z"
    }
   },
   "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": "592bec3e",
   "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": 9,
   "id": "06094484",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:28.663774Z",
     "iopub.status.busy": "2024-09-18T14:50:28.663577Z",
     "iopub.status.idle": "2024-09-18T14:50:28.668781Z",
     "shell.execute_reply": "2024-09-18T14:50:28.668060Z"
    }
   },
   "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": "9001ac07",
   "metadata": {},
   "source": [
    "Let's plot the waveforms to see what we have created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c5ddacd3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:28.670772Z",
     "iopub.status.busy": "2024-09-18T14:50:28.670596Z",
     "iopub.status.idle": "2024-09-18T14:50:28.889854Z",
     "shell.execute_reply": "2024-09-18T14:50:28.889083Z"
    }
   },
   "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": "768d26f9",
   "metadata": {},
   "source": [
    "Specify the acquisitions\n",
    "--------------------\n",
    "\n",
    "We will only use a single bin in this tutorial, so we can keep it simple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "64ce4386",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:28.892650Z",
     "iopub.status.busy": "2024-09-18T14:50:28.892445Z",
     "iopub.status.idle": "2024-09-18T14:50:28.895781Z",
     "shell.execute_reply": "2024-09-18T14:50:28.895088Z"
    }
   },
   "outputs": [],
   "source": [
    "# Acquisitions\n",
    "acquisitions = {\"scope\": {\"num_bins\": 1, \"index\": 0}}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20df361e",
   "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": 12,
   "id": "989d2058",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:28.898359Z",
     "iopub.status.busy": "2024-09-18T14:50:28.898181Z",
     "iopub.status.idle": "2024-09-18T14:50:29.656814Z",
     "shell.execute_reply": "2024-09-18T14:50:29.653481Z"
    }
   },
   "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": "f50adeee",
   "metadata": {},
   "source": [
    "Multiplexed sequencer output control\n",
    "------------------------------------\n",
    "Each sequencer has two output paths. The output paths of each sequencer are physically connected to the instrument's outputs. It is possible to map any sequencer output path to any output port by using the sequencer's channel map.\n",
    "\n",
    "We can do so by calling `sequencerX.connect_outY(Z)` where `X`, `Y` and `Z` represents sequencer ID $\\in[0,..,5]$, output port number, and `Z`$\\in \\{$`\"off\"`, `\"I\"`, `\"Q\"`$\\}$.\n",
    "\n",
    "For most common sequencer configurations, the convenience function `sequencerX.connect_sequencer(config)` can be used to easily set the channel map. Some examples:\n",
    "\n",
    "Multiplexed sequencers on a QRM baseband\n",
    "```python\n",
    "instrument.disconnect_inputs()\n",
    "instrument.disconnect_outputs()\n",
    "for seq in instrument.sequencers:\n",
    "    seq.connect_sequencer(\"io0_1\")\n",
    "```\n",
    "\n",
    "Multiplexed sequencers on a QRM-RF\n",
    "```python\n",
    "instrument.disconnect_inputs()\n",
    "instrument.disconnect_outputs()\n",
    "for seq in instrument.sequencers:\n",
    "    seq.connect_sequencer(\"io0\")\n",
    "```\n",
    "\n",
    "Sequencers 1:1 on a QCM baseband\n",
    "```python\n",
    "instrument.disconnect_outputs()\n",
    "for idx in range(4):\n",
    "    instrument[f\"sequencer{idx}\"].connect_sequencer(f\"out{idx}\")\n",
    "```\n",
    "\n",
    "Sequencers 1:1 on a QCM-RF\n",
    "```python\n",
    "instrument.disconnect_outputs()\n",
    "for idx in range(2):\n",
    "    instrument[f\"sequencer{idx}\"].connect_sequencer(f\"out{idx}\")\n",
    "```\n",
    "\n",
    "For the sake of this tutorial we will map the <span style=\"color:#ed1c24\">in-phase path</span> of each sequencer to the ports with the even output port numbers (indexed from 0) and the <span style=\"color:#37b5b9\">quadrature path</span> of each sequencer to the ports with the odd output port numbers.\n",
    "<!---\n",
    ", like is shown in the figure below. Note that this figure is for the [QCM](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/qcm.html), so it has 4 outputs.\n",
    "\n",
    "<img src=\"https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/figures/QBLOX_MULTIPLEXING_DIAGRAM.svg\" alt=\"drawing\" width=\"1000\"/>\n",
    "-->"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b4f3d23",
   "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": 13,
   "id": "315057d7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:29.667922Z",
     "iopub.status.busy": "2024-09-18T14:50:29.666940Z",
     "iopub.status.idle": "2024-09-18T14:50:29.960117Z",
     "shell.execute_reply": "2024-09-18T14:50:29.959319Z"
    }
   },
   "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": "0203b55d",
   "metadata": {},
   "source": [
    "Let's add the second sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "91426d91",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:29.962941Z",
     "iopub.status.busy": "2024-09-18T14:50:29.962763Z",
     "iopub.status.idle": "2024-09-18T14:50:30.174623Z",
     "shell.execute_reply": "2024-09-18T14:50:30.173861Z"
    }
   },
   "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": "2e65e805",
   "metadata": {},
   "source": [
    "Let's add the third sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "801ac245",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:30.177314Z",
     "iopub.status.busy": "2024-09-18T14:50:30.177131Z",
     "iopub.status.idle": "2024-09-18T14:50:30.417213Z",
     "shell.execute_reply": "2024-09-18T14:50:30.416464Z"
    }
   },
   "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": "213bf3bf",
   "metadata": {},
   "source": [
    "Let's add the fourth sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "44206037",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:30.419272Z",
     "iopub.status.busy": "2024-09-18T14:50:30.419094Z",
     "iopub.status.idle": "2024-09-18T14:50:30.651006Z",
     "shell.execute_reply": "2024-09-18T14:50:30.650269Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Configure the sequencer\n",
    "readout_module.sequencer3.sync_en(True)\n",
    "readout_module.sequencer3.gain_awg_path0(1.1 / num_seq)\n",
    "readout_module.sequencer3.gain_awg_path1(1.1 / num_seq)\n",
    "\n",
    "readout_module.sequencer3.connect_out0(\"I\")\n",
    "readout_module.sequencer3.connect_out1(\"Q\")\n",
    "\n",
    "# connect input paths of the same sequencer.\n",
    "readout_module.sequencer3.connect_acq_I(\"in0\")\n",
    "readout_module.sequencer3.connect_acq_Q(\"in1\")\n",
    "\n",
    "# Start the sequencers\n",
    "for seq in range(0, 4):\n",
    "    readout_module.arm_sequencer(seq)\n",
    "readout_module.start_sequencer()\n",
    "\n",
    "# Wait for sequencers to stop\n",
    "for seq in range(0, 4):\n",
    "    readout_module.get_acquisition_status(seq)\n",
    "\n",
    "# Get acquisition data\n",
    "readout_module.store_scope_acquisition(0, \"scope\")\n",
    "acq = readout_module.get_acquisitions(0)\n",
    "\n",
    "# Plot the results\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "\n",
    "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len])\n",
    "ax.plot(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][0:waveform_len])\n",
    "ax.set_xlabel(\"Time (ns)\")\n",
    "ax.set_ylabel(\"Relative amplitude\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64a47aca",
   "metadata": {},
   "source": [
    "Let's add the fifth sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c0ce7437",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:30.653725Z",
     "iopub.status.busy": "2024-09-18T14:50:30.653551Z",
     "iopub.status.idle": "2024-09-18T14:50:30.944309Z",
     "shell.execute_reply": "2024-09-18T14:50:30.943513Z"
    }
   },
   "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": "14de9fb3",
   "metadata": {},
   "source": [
    "Let's add the sixth sequencer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a0b6ebb6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:30.947293Z",
     "iopub.status.busy": "2024-09-18T14:50:30.947084Z",
     "iopub.status.idle": "2024-09-18T14:50:31.203618Z",
     "shell.execute_reply": "2024-09-18T14:50:31.202737Z"
    }
   },
   "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": "1a1341d0",
   "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": "b3309a0a",
   "metadata": {},
   "source": [
    "Frequency multiplexing\n",
    "----------------------\n",
    "Next, we will show frequency multiplexing. We will connect the outputs of various sequencers to a single output port pair, modulate their waveforms on unique carrier frequencies and in turn acquire, demodulate and integrate the results fed back into the inputs to validate the acquired signals. In this case, for simplicity, we will modulate a square wave pulse on each sequencer and we will play with the output gain. In order to visualize the frequency multiplexing, we will preform an FFT over the acquired scope acquisitions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9882f9fe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:31.206225Z",
     "iopub.status.busy": "2024-09-18T14:50:31.206046Z",
     "iopub.status.idle": "2024-09-18T14:50:33.679853Z",
     "shell.execute_reply": "2024-09-18T14:50:33.679119Z"
    }
   },
   "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": "abd1f303",
   "metadata": {},
   "source": [
    "Lets start with a single sequencer with an AWG gain of 1.0 (only on path 0 to create a \"real\" pulse). Let's modulate it's output with a carrier frequency of 20MHz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "6ccb2854",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:33.682268Z",
     "iopub.status.busy": "2024-09-18T14:50:33.682077Z",
     "iopub.status.idle": "2024-09-18T14:50:33.954782Z",
     "shell.execute_reply": "2024-09-18T14:50:33.951372Z"
    }
   },
   "outputs": [],
   "source": [
    "# Program sequencer\n",
    "readout_module.sequencer0.sequence(\"sequence.json\")\n",
    "\n",
    "readout_module.disconnect_outputs()\n",
    "readout_module.disconnect_inputs()\n",
    "\n",
    "# connect output paths of the sequencer\n",
    "readout_module.sequencer0.connect_out0(\"I\")\n",
    "readout_module.sequencer0.connect_out1(\"Q\")\n",
    "\n",
    "# connect input paths of the same sequencer.\n",
    "readout_module.sequencer0.connect_acq_I(\"in0\")\n",
    "readout_module.sequencer0.connect_acq_Q(\"in1\")\n",
    "\n",
    "# Configure sequencer\n",
    "readout_module.sequencer0.sync_en(True)\n",
    "readout_module.sequencer0.gain_awg_path0(1.0)\n",
    "readout_module.sequencer0.gain_awg_path1(0.0)\n",
    "readout_module.sequencer0.nco_freq(20e6)\n",
    "readout_module.sequencer0.mod_en_awg(True)\n",
    "readout_module.sequencer0.demod_en_acq(True)\n",
    "readout_module.sequencer0.integration_length_acq(waveform_len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3863c720",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:33.964484Z",
     "iopub.status.busy": "2024-09-18T14:50:33.963668Z",
     "iopub.status.idle": "2024-09-18T14:50:34.023686Z",
     "shell.execute_reply": "2024-09-18T14:50:34.020504Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Start the sequencer\n",
    "readout_module.arm_sequencer(0)\n",
    "readout_module.start_sequencer(0)\n",
    "\n",
    "# Wait for the sequencer to stop\n",
    "readout_module.get_acquisition_status(0)\n",
    "\n",
    "# Get acquisition data\n",
    "readout_module.store_scope_acquisition(0, \"scope\")\n",
    "acq = readout_module.get_acquisitions(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66671bf8",
   "metadata": {},
   "source": [
    "Now lets have a look at the FFT of the scope acquisition to verify the presence of one tone at 20MHz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "445e0436",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:34.031986Z",
     "iopub.status.busy": "2024-09-18T14:50:34.031370Z",
     "iopub.status.idle": "2024-09-18T14:50:34.138410Z",
     "shell.execute_reply": "2024-09-18T14:50:34.137678Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the FFT\n",
    "fig, bx = plt.subplots(1, 1)\n",
    "yf = abs(rfft(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len]))\n",
    "xf = rfftfreq(1000, 1 / 1e3)\n",
    "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": "ba9d4770",
   "metadata": {},
   "source": [
    "Now let's have a look at the hardware demodulated and integrated results and check if it matches our expectations. Don't forget that we need to divide the integration results by the integration length. In this case, the integration length is the same as the waveform length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a0225a58",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:34.141270Z",
     "iopub.status.busy": "2024-09-18T14:50:34.141078Z",
     "iopub.status.idle": "2024-09-18T14:50:34.145377Z",
     "shell.execute_reply": "2024-09-18T14:50:34.144613Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integration results:\n",
      "I = 0.46825500732779674\n",
      "Q = -0.2573185148998534\n",
      "R = sqrt(I^2 + Q^2) = 0.5342991390577203\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": "7bf39e4e",
   "metadata": {},
   "source": [
    "The pulse acquired at the inputs is automatically demodulated at 20MHz, but due to phase rotation caused by output-to-input latency the result is not purely real. However the amplitude of the IQ vector is 0.5 as expected because: 1Vpp output range / 2Vpp input range = 0.5.\n",
    "\n",
    "Now lets increase the number of sequencers to three, each with a slightly different AWG gain. We will modulate the signals of sequencer 0 to 2 with a carrier frequencies at 20MHz, 30MHz and 40MHz respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "458db271",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:34.147898Z",
     "iopub.status.busy": "2024-09-18T14:50:34.147732Z",
     "iopub.status.idle": "2024-09-18T14:50:34.823550Z",
     "shell.execute_reply": "2024-09-18T14:50:34.820322Z"
    }
   },
   "outputs": [],
   "source": [
    "num_seq = 3\n",
    "for seq in range(0, num_seq):\n",
    "    # Program sequencers\n",
    "    readout_module.sequencers[seq].sequence(\"sequence.json\")\n",
    "\n",
    "    # Configure the channel map\n",
    "    readout_module.sequencers[seq].connect_out0(\"I\")\n",
    "    readout_module.sequencers[seq].connect_out1(\"Q\")\n",
    "\n",
    "    # Connect input paths of the same sequencer.\n",
    "    readout_module.sequencers[seq].connect_acq_I(\"in0\")\n",
    "    readout_module.sequencers[seq].connect_acq_Q(\"in1\")\n",
    "\n",
    "    # Configure the sequencers\n",
    "    readout_module.sequencers[seq].sync_en(True)\n",
    "    readout_module.sequencers[seq].mod_en_awg(True)\n",
    "    readout_module.sequencers[seq].demod_en_acq(True)\n",
    "    readout_module.sequencers[seq].integration_length_acq(waveform_len)\n",
    "\n",
    "# Set the gains\n",
    "readout_module.sequencer0.gain_awg_path0(0.5)\n",
    "readout_module.sequencer0.gain_awg_path1(0.0)\n",
    "readout_module.sequencer1.gain_awg_path0(0.25)\n",
    "readout_module.sequencer1.gain_awg_path1(0.0)\n",
    "readout_module.sequencer2.gain_awg_path0(0.125)\n",
    "readout_module.sequencer2.gain_awg_path1(0.0)\n",
    "\n",
    "# Set the frequencies\n",
    "readout_module.sequencer0.nco_freq(20e6)\n",
    "readout_module.sequencer1.nco_freq(30e6)\n",
    "readout_module.sequencer2.nco_freq(40e6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9a084a45",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:34.832367Z",
     "iopub.status.busy": "2024-09-18T14:50:34.831397Z",
     "iopub.status.idle": "2024-09-18T14:50:34.893447Z",
     "shell.execute_reply": "2024-09-18T14:50:34.892695Z"
    }
   },
   "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": "6bc1d2bc",
   "metadata": {},
   "source": [
    "Now lets have a look at the FFT of the scope acquisition to verify the presence of three tones at 20MHz, 30Mhz and 40MHz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8e57362b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:34.895887Z",
     "iopub.status.busy": "2024-09-18T14:50:34.895615Z",
     "iopub.status.idle": "2024-09-18T14:50:34.996265Z",
     "shell.execute_reply": "2024-09-18T14:50:34.995596Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the FFT\n",
    "fig, bx = plt.subplots(1, 1)\n",
    "yf = abs(rfft(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len]))\n",
    "xf = rfftfreq(1000, 1 / 1e3)\n",
    "bx.plot(xf[0:100], yf[0:100] * norm_fact)\n",
    "bx.set_xlabel(\"Frequency (MHz)\")\n",
    "bx.set_ylabel(\"Amplitude\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18ac0d85",
   "metadata": {},
   "source": [
    "Now let's check if the hardware demodulated and integrated results match our expectations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8eaffc01",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:34.998367Z",
     "iopub.status.busy": "2024-09-18T14:50:34.998170Z",
     "iopub.status.idle": "2024-09-18T14:50:35.077794Z",
     "shell.execute_reply": "2024-09-18T14:50:35.076898Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequencer 0\n",
      "Integration results:\n",
      "I = 0.23331558378114314\n",
      "Q = -0.12793258426966292\n",
      "R = sqrt(I^2 + Q^2) = 0.26608815785947715\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 1\n",
      "Integration results:\n",
      "I = -0.094\n",
      "Q = 0.090695163654128\n",
      "R = sqrt(I^2 + Q^2) = 0.13062010836869284\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 2\n",
      "Integration results:\n",
      "I = 0.03836541279921837\n",
      "Q = -0.053115290669272106\n",
      "R = sqrt(I^2 + Q^2) = 0.06552204974003556\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": "cdc44a0a",
   "metadata": {},
   "source": [
    "Again, the acquired signals on the input are automatically demodulated at 20MHz, 30MHz and 40MHz and we see that the amplitude of the IQ vectors match the gain values we set divided by two, which matches our expectations.\n",
    "\n",
    "Now, let's try it one final time with six sequencers, each with 0.15 AWG gain. We will modulate the outputs of sequencer 0 to 5 with carrier frequencies at 20MHz, 30Mhz, 40MHz, 50MHz, 60MHz and 70MHz respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a8a36f50",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:35.080314Z",
     "iopub.status.busy": "2024-09-18T14:50:35.080063Z",
     "iopub.status.idle": "2024-09-18T14:50:36.437883Z",
     "shell.execute_reply": "2024-09-18T14:50:36.434418Z"
    }
   },
   "outputs": [],
   "source": [
    "num_seq = 6\n",
    "for seq in range(0, num_seq):\n",
    "    # Program sequencers\n",
    "    readout_module.sequencers[seq].sequence(\"sequence.json\")\n",
    "\n",
    "    # Configure the channel map\n",
    "    readout_module.sequencers[seq].connect_out0(\"I\")\n",
    "    readout_module.sequencers[seq].connect_out1(\"Q\")\n",
    "\n",
    "    # Connect input paths of the same sequencer.\n",
    "    readout_module.sequencers[seq].connect_acq_I(\"in0\")\n",
    "    readout_module.sequencers[seq].connect_acq_Q(\"in1\")\n",
    "\n",
    "    # Configure the sequencers\n",
    "    readout_module.sequencers[seq].sync_en(True)\n",
    "    readout_module.sequencers[seq].gain_awg_path0(0.15)\n",
    "    readout_module.sequencers[seq].gain_awg_path1(0.0)\n",
    "    readout_module.sequencers[seq].mod_en_awg(True)\n",
    "    readout_module.sequencers[seq].demod_en_acq(True)\n",
    "    readout_module.sequencers[seq].integration_length_acq(waveform_len)\n",
    "\n",
    "# Set the frequencies\n",
    "readout_module.sequencer0.nco_freq(20e6)\n",
    "readout_module.sequencer1.nco_freq(30e6)\n",
    "readout_module.sequencer2.nco_freq(40e6)\n",
    "readout_module.sequencer3.nco_freq(50e6)\n",
    "readout_module.sequencer4.nco_freq(60e6)\n",
    "readout_module.sequencer5.nco_freq(70e6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "587a6b1c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:36.445263Z",
     "iopub.status.busy": "2024-09-18T14:50:36.445089Z",
     "iopub.status.idle": "2024-09-18T14:50:36.517057Z",
     "shell.execute_reply": "2024-09-18T14:50:36.515540Z"
    }
   },
   "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": "c3420f28",
   "metadata": {},
   "source": [
    "Now lets have a look at the FFT of the scope acquisition to verify the presence of six tones at 20MHz, 30Mhz, 40MHz, 50MHz, 60MHz and 70MHz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c8e3d86d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:36.521879Z",
     "iopub.status.busy": "2024-09-18T14:50:36.521475Z",
     "iopub.status.idle": "2024-09-18T14:50:36.629943Z",
     "shell.execute_reply": "2024-09-18T14:50:36.629378Z"
    },
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the FFT\n",
    "fig, bx = plt.subplots(1, 1)\n",
    "yf = abs(rfft(acq[\"scope\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][0:waveform_len]))\n",
    "xf = rfftfreq(1000, 1 / 1e3)\n",
    "bx.plot(xf[0:100], yf[0:100] * norm_fact)\n",
    "bx.set_xlabel(\"Frequency (MHz)\")\n",
    "bx.set_ylabel(\"Amplitude\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c805fa22",
   "metadata": {},
   "source": [
    "Note that we lose a little bit of power over the frequency range, but that is to be expected due to frequency dependant components in the output and input path. Now let's check if the hardware demodulated and integrated results match our expectations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "1a7ab478",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:36.631941Z",
     "iopub.status.busy": "2024-09-18T14:50:36.631760Z",
     "iopub.status.idle": "2024-09-18T14:50:36.841404Z",
     "shell.execute_reply": "2024-09-18T14:50:36.838381Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sequencer 0\n",
      "Integration results:\n",
      "I = 0.06961455788959452\n",
      "Q = -0.038096726917440156\n",
      "R = sqrt(I^2 + Q^2) = 0.07935708709362835\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 1\n",
      "Integration results:\n",
      "I = -0.05719149975574011\n",
      "Q = 0.054546165119687344\n",
      "R = sqrt(I^2 + Q^2) = 0.07903259943577091\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 2\n",
      "Integration results:\n",
      "I = 0.043983390327308254\n",
      "Q = -0.06582217879824133\n",
      "R = sqrt(I^2 + Q^2) = 0.07916500392491624\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 3\n",
      "Integration results:\n",
      "I = -0.02408353688324377\n",
      "Q = 0.07376013678553982\n",
      "R = sqrt(I^2 + Q^2) = 0.07759236126983189\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 4\n",
      "Integration results:\n",
      "I = 0.0055192965315095256\n",
      "Q = -0.07826428920371276\n",
      "R = sqrt(I^2 + Q^2) = 0.07845866171918256\n",
      "---------------------------------------------------------------------------------\n",
      "Sequencer 5\n",
      "Integration results:\n",
      "I = 0.011846604787493893\n",
      "Q = 0.07625403028822668\n",
      "R = sqrt(I^2 + Q^2) = 0.07716877075727503\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": "0b7ac06d",
   "metadata": {},
   "source": [
    "Taking the power loss over frequency into account, the amplitudes of the IQ vectors match our expectations again."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27b830f9",
   "metadata": {},
   "source": [
    "\n",
    "Real mode\n",
    "---------------\n",
    "\n",
    "Many applications require multiple outputs to be controlled independently and only output real signals instead of a modulated IQ pair. To achieve this we will connect one sequencer to each output and only use path 0 to control an even numbered output and path 1 to control an odd numbered output. To demonstrate this, we will simply output an independently timed sine on output $\\text{O}^{1}$ and a sawtooth on output $\\text{O}^{2}$, which we will then acquire on the inputs.\n",
    "\n",
    "*Note that before we make these new connections between the sequencers and the physical inputs and outputs* ($\\text{O}^{[1-2]}$ and $\\text{I}^{[1-2]}$), *we must first erase the exisiting connections using the API, namely* `disconnect_outputs()` and `disconnect_inputs()`.\n",
    "\n",
    "Lets create a Q1ASM program to sequence the waveforms for sequencer 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "24d85664",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:36.850984Z",
     "iopub.status.busy": "2024-09-18T14:50:36.850140Z",
     "iopub.status.idle": "2024-09-18T14:50:39.316520Z",
     "shell.execute_reply": "2024-09-18T14:50:39.315819Z"
    }
   },
   "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": "182b0aee",
   "metadata": {},
   "source": [
    "Lets create a Q1ASM program to sequence the waveforms for sequencer 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a0e74d38",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:39.318813Z",
     "iopub.status.busy": "2024-09-18T14:50:39.318637Z",
     "iopub.status.idle": "2024-09-18T14:50:39.330659Z",
     "shell.execute_reply": "2024-09-18T14:50:39.330046Z"
    }
   },
   "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": "7be65056",
   "metadata": {},
   "source": [
    "Let's configure both sequencers and connect them to their respective outputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "0460f7c4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:39.332483Z",
     "iopub.status.busy": "2024-09-18T14:50:39.332314Z",
     "iopub.status.idle": "2024-09-18T14:50:39.692682Z",
     "shell.execute_reply": "2024-09-18T14:50:39.689540Z"
    }
   },
   "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": "483080cb",
   "metadata": {},
   "source": [
    "Now, let start the sequencers and visualize the resulting sequence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4966772e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:39.701456Z",
     "iopub.status.busy": "2024-09-18T14:50:39.700606Z",
     "iopub.status.idle": "2024-09-18T14:50:39.878999Z",
     "shell.execute_reply": "2024-09-18T14:50:39.878347Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2wAAAIwCAYAAAD6V+hpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC7FElEQVR4nOzdd3xT9f4G8OdkNN0t3S3dLXsPQZkyFRARFDeIuBeI14WiOBD31d914gQExIEMAZGN7L1n6d57N02b5Pz+SBuIbSEl46Tp8369uLf55uScp1CbfM53CaIoiiAiIiIiIiKHI5M6ABERERERETWOBRsREREREZGDYsFGRERERETkoFiwEREREREROSgWbERERERERA6KBRsREREREZGDYsFGRERERETkoFiwEREREREROSgWbERERERERA6KBRsREREREZGDctqCraSkBC+++CK6deuG0NBQhISEICQkBJ07d8YTTzyB3NzcK75eo9Fg3rx56NChg/G19X/i4+MxZ84cVFdX2+m7ISIiIiKi1sgpCzadTocRI0bAw8MD27dvR1ZWFnJycpCTk4O9e/eiY8eOGDhwIKqqqpo8x/vvv4/jx49j9+7dxtfW/zl48CCSk5Mxb948O35XRERERETU2giiKIpSh7C233//HT///DNWrFjR5DEzZsxATEwMZs2a1ejz7du3x/bt2xEWFtbo8+np6Rg3bhxOnDhhdi69Xo+srCx4eXlBEASzX0dERERERM5FFEWUl5cjLCwMMlnT/WgKO2aym5MnT2LYsGFXPGbkyJFYtWpVk8/n5uYiNDS0yefbtm2L/v37NytXVlYWIiIimvUaIiIiIiJyXunp6QgPD2/yeacs2DIyMtC9e/crHhMWFoa0tLQmnxcE4Yq9YDKZDN9++22zcnl5eQEw/KN4e3s367VEREREROQ8ysrKEBERYawRmuKUBZtOp4NcLr/iMQqFAlqt9orH7N69Gx9++CFOnjyJyspKAIBcLkd4eDimTZuGRx55BApF03+FGo0GGo3G+Li8vBwA4O3tzYKNiIiIiIiuOlXKKQs2a1Cr1fjkk0/w3nvvoV27dsYCUKfTITExEc8++yzKysrw0ksvNXmOd999F2+++aa9IhMRERERkZNxylUi/+38+fOIjY3FhQsXzH5NTU0NPvzwQ3Ts2NGkt04ul6N9+/b48ccf8eWXX17xHLNnz0ZpaanxT3p6+jV/D0RERERE1Pq0ih62Dh06ICkpqVmvUalUiI6ObvL54OBg45BHlUrV5Dmaeo6IiIiIiOhqnLKHzZz5aVqt9orzz1xdXa86ntTV1RVqtfqaMhIREREREV2NUxZs4eHhyMnJueIxWVlZiIyMbPJ5hUKBq21RV11dDVdX12vKSEREREREdDVOWbB169YNW7ZsueIxW7ZsQbdu3Zp8PjQ0FBkZGU0+X1hYCKVSyYKNiIiIiIhsxikLtttuuw0ZGRmYO3cuCgsLTXrKysrK8Nlnn2HdunV49NFHmzzHE088gSeffBKZmZkNnsvJycGjjz6Khx9+2Cb5iYiIiIiIACdddEQul2Pz5s145513MHToUJOizdfXF0OHDsWuXbvg4eEBANi+fTsefvhhHDlyxLg/2mOPPQYAuPnmm1FYWAi9Xg/AsE+Cr68vpk2bhlmzZknw3RERERERUWshiFebqEVWU1ZWBh8fH5SWlnLjbCIiIiKiVszc2sAph0QSERERERE5AxZsREREREREDooFGxERERERkYNiwUZEREREROSgWLARERERERE5KBZsREREREREDooFGxERERERkYNiwUZEREREROSgWLAR2cDvZ1NwIDPf+Fir1+OZDfvwy+lkCVMRERERUUujkDoAkbP58VgCpq/d3ehznx86h03JWfjuloF2TkVERERELZEgiqIodYjWoqysDD4+PigtLYW3t7fUccjKEorKMGTxX8ipUJv9mvu6xuLlAd3QNaiNDZMRERERkaMxtzZgDxuRhf677zR+PZuM/ZkFzX7t0lNJWHoqCZvuHY2RsWE2SEdERGRdelHE2J834e+kLABA6Qv3wlvlInEqIufFgo3oGhVWVeOGheuRUFTW4DkflRK3to/EtpRs5FSq8fKAbkgqrkBSSTn2XTa3rd6oZRvh76bC2ccnItDD1R7xiYiImm1Peh5u/nkTymtqjW1bkrMxsWOUhKmInBsLNqJroNPrEfDf5Q3aH+wRj35hAXi8T8cmX3swqwArz6Ui2NMNz248YGwvVGsQ9Mly7HpgDAZGBNskNxER0bVIK63A34lZeHT9ngbPKeVcw47IlliwEV0D1bs/NWi7rUMkvh03AHLZld+4rgsLwHVhAQCAsfHhaP/lHybPD1r0Fw4/NB69Q/2tF5iIiOga6UURUZ/9fsXnich2eEuEqBn0ooi+3/8J3WVvTgvHD0L5i/dh5eThVy3W/q2dnzfKXrgPVS/dj4d6tjO29/n+TxzMav6cOCIiImsqqdZA/s6iBu2vDeqB+DZeAFiwEdkae9iIzKTT63HDwvU4nF1obEt7ZjIifDwsOq+XSgkA+HbcAExoH4lbf90CAOj3w1osHD8ID/SIt+j8REREzSWKIh5auxs/Hr9o0v7nXSNwS7sIAMC21GxcLC6HnvUakU2xh43IDNVaLRTzF5v0ep1/YqLFxdrlBEHA+PYReH94H2PbtD93oUans9o1iIiIrmZnWi5k7yxqUKx9OeZ6Y7EGADJBAMAeNiJbY8FGdBXVWi3c3lti0rZn2li09/exyfVeHNAN+x4cZ3zc+7s/kV5aCZ1eb5PrERERAYBGq8O+jDwMWfyXSfuhh26BOGcanvjXglos2Ijsg0Miia7ifwfOmjzWzJ4CF7ncptfs3zYQ17cNxL7MfJzOL0HkZ79h3o298OqgHja9LhERtT7lmlr0+f7PBtvUPNKrPb4ZN6DJ17FgI7IP9rARXcEPxxLw0tbDxsfbp9xs82Kt3pb7b8KHI/oaH8/ZfpQLkRARkVXp9Ho8sm53g2Jtz7SxVyzWAEBmqNc4h43IxliwETVhT3oeHlq7GwBwV+do6F59AEOjQux2fXelAs/f0NWkrd8Pa1GuqW3iFUREROY7nF0AxfzF+OVMikn797cMxA3hQVd9PXvYiOyDBRtRI4rUGgxctN74+MMR1xnfmOwt+enbTR5/d+yCJDmIiMh5fHPkPPp+v9ak7eB0w1y16ZdtM3MlLNiI7IMFG9G/iKKI6y57E3v++i5WXQ2yuaJ9vXDm8duMj5/bdJBvjkRE1GxavR4bEjPw9IZ9eGz9XpPnjj1yK/qGBTTrfK5aDeR6Hd+TiGyMBRvRv9yzcgeSSsoBAJM7ReO9y5bZl0qnAF882qu98fHcHUclTENERC3NwawCBHz8M8b8vBlfHDpnbO8S6IvDD41Hj2A/s88liiJqfv4Mi/87Huv+eZ9z2IhsjAUb0WWOZBeajOX/acJgyGWO8Z/Jp6P7Gb+et+sEnt98UMI0RETUEoiiiP8dOIN+P6xF6b/mQM+4rhMOTL8FvUP9zTuXVovqT15ARW8ZNB/MAAAMKEyAqijH6rmJ6BIu6090mT7f/2n8OnPmnVAp7LMipDnclApEensgrawSAPDxvtOYP6y33VatJCKiluVsQQk6f72q0ecyZ96JMC93s88lqqtQ9cQo6I/vafCcV8Z5AIOvMSURXY1jdB0QOYDs8irj16Njw5r1RmYvJx6dYPL4vlX/SJSEiIgc2en84gbFmlwQoH/1AYhzppn9HidqqlGz+CNUDPAwKdZk3W9AckjdUH2d1lqxiagRLNiI6nT4aqXx6+UTh0qYpGk+ri4Q50wzPv79bCo2JGZIF4iIiBzOvow8dF2w2qRt9oBuyJl1F4RmrHgs6vWoGBYAzScvGNvcPlkNzx1FcP9hJ8S6KQOiXm+d4ETUKA6JJALwT2oOymsMY/sD3FVo46aSONGVbbv/Jgxb8jcAYMzPm6F9ZarDzLUjIiJpbEvJxvC694Z6nQN8ceyRW6GUN+89Ql+Uj8oRpnuxKUbfCcWNtxofi3XFn8hVR4hsip/wiAAM/WmD8euD02+RMIl5hkaFINL70lYD6y9mSpiGiIikpNPrUVpd06BYe7RXe5x+/LZmFWuiKEI990GTYk3WqTfclx6C2/u/mBwrQDC+hohshwUbtXoLDp83fn1f11hE+3pJmMY8giAgdcZkyOvubs7edljiREREJIX8ymoo5i+G70fLGjx3+erC5tAe3IaK3jJo1yw0tqlmfQSPZYch79xwixvjkEiRQyKJbIkFG7VqoijiucuWx//i5uslTNN8rw3uAQA4nV+CPel5EqchIiJ70er1+PFYAoI+WW7SPiQyGOUv3gdxzjS4Kc2b+SKKImqW/Q/qR4ebtHv8lQaXqf+5wivrh0SyYCOyJRZs1KptTs5GVa1hdavVdw6Hj6uLxIma5+UB3YxfD1y0HsdziyRMQ0RE9vC/A2egnL8Y09fuNmnvFxaAHVPHwNNFadZ59EX5qLzvOsO+ah/ONLYLfkHw3FkKWUjElU8gcEgkkT2wYKNWSy+KGL1sIwBAJZdhfLurvDE5IJVCjlWTL90R7fntGgnTEBGRrT236QBmbjzQoP2jkX2x78FxZp9H1OlQOSII+jOHTNpVsz6Ex19pEDy9r34OgT1sRPbAVSKp1Rq1dKPx6+WThjZrqWNHMqFDpMnjippas++uEhFRyyCKIran5uCT/WcaPFf4n3vg14zVjfU56dD+vbxBu+t/V0E5bEIjr2hC/fsm57AR2RR72KhVEkURW1OyjY8ntI+8wtGO7/J9417YfOgKRxIRUUuTV6mG7J1FDVaBfHlAN6hfvt/sYk3U61H9zhOoHBMJzacvGttd5/0Er6Ni84o14NKQSC7rT2RTLNioVfrlTLLx66yZd7bY3rV6d3WJMX799ZHzqNXxbicRkTPYnJSF4E9Ml9MP8nCF/tUH8O7wPnBVmDdYSnf6ECr6yFH7+9fGNllMR3juLIVy3P3XlE0U6leJZMFGZEss2KjVKaiqxj0r/wEAPNe/C0K93CVOZB3fjhtg/PrzQ2clTEJERJYqqKqGMG8hRi3baNIe7uWOjBnNu9EoVlVA/fwkkzaXh1+F2/c7zZqr1qT6DJzDRmRTLNio1fni0Dnj1w90j5MwiXU91LOd8evnNh2Eum71SyIiajlO5hVj6uqdCPyv6Ryz/466DrWvTEX6zDvN3ghbLC2C+qW7UDHQC2JOOgDA5aFX4HVUhOqpeZC1CbAsrHGVSBZsRLbEgo1alZJqDd745xgA4LOb+qN7sJ+0gaxIEAQsvW2I8fEj6/ZImIaIiK5F929W46eTiSZtyycOxaz+XaCQmf+xTbtzHSpu9Id246/GNveFe6B6+h2rZeWy/kT2wYKNWpVXtx0FALgp5HikV3uJ01jfvV1jjV8vPZUkYRIiIjKXKIqYtfEAhHkLGzx3YPotJvOUzVG76XeoZ9xifCyL7wqPdSmQ97jB0qim6uawcUgkkW1xWX9qNdJKK/DlYcNwyIkdoqBSyCVOZBvLJw7F3St3AADWXEjDrS18BUwiImd2Or8YXResbtC+c+oYeLoo0DPE36zziKKI6jcfgnb1jybtqjkL4HL7o1bJ2gB72Ijsgj1s1GosPH7R+PWbQ3tKF8TG7uoSgzs7RwMAJvy6FTU6nbSBiIioUe/sOt6gWPtoZF/kzroLgyKDzS/WqtWoHBPZoFhz/e9K2xVrAOewEdkJCzZqFURRxNy6uWtKmQzxfhasitUCvHhDV+PXySUVEiYhIqLGfLDnJOZsP2rS9u6w3vjP9V0R5OFm9nl0F06g4gZ3iLkZxjZ5/5Fw+2YrlMNus1bcRnFZfyL74JBIahXSyyqNX38y+joJk9hHn9AA9Az2w7HcIvx5IR0dbvCROhIREQHYmJiJm37e1KA95ek7EOXr2axz1W5YjurZ9xgfK6f8B6on3oTg5mFxTnMYdxbgHDYim2LBRq3C85sPGb9+rHcHCZPYz41RITiWW4S3dh7HpI5RiG3jJXUkIqJWq1anh8u7ixt/7pWpzVoBsvavn1H9yr0mba7v/gzlzXdblLH5OIeNyB44JJKcniiKOJCVDwB4rHf7Zr0ptmTvDOuN69sGorymFj8eT5A6DhFRq1VRU9tosfbDLQNR+J97mvW+VPPHdw2KNbdvt0tQrAFifW7OYSOyqdbxyZVatfUXM5BaWglPFwU+Hun8wyHruSsVuL+bYZn/ebtOoIobaRMR2d2W5Cx4fbDUpO3muLbImDEZD/ZsBz83lVnn0SWehubH96F5+xFjm6xdN3juU0PRd6hVM5tL4LL+RHbBIZHk9L48fB4A8FDPdvBwUUqcxr5ujm1r/PrvxExM7BglYRoiotZDXavFrb9uwebkbGPbnZ2j8f7wPojy8YRgnAB2ZaIooubzV1Hzw7sm7a5v/gjFzfdAcDGv4LOJum+BQyKJbIsFGzm1ZaeSsP5iBmSCgOk92kkdx+7i/LwxuVM0fjubgkm/b0P1y1Ocdv85IiJHsfjERTywZpdJ26GHbkGf0ACzzyFWVaDmx/dR8908k3bFLVPh+uL/IHg5wGJSXCWSyC44JJKc2od7TwEAhkYGo3uwn8RppDF7YDfj16/vOHqFI4mIyBJ6UcR3Ry+YFGtxbbxw5vHbmlWsAUDVkzc1KNY8VifA7e1FjlGsAZeWieSQSCKbYsFGTqtaq8Wp/GIAwJtDe0mcRjq9Ltt49fND5yRMQkTkvEqrazD8pw14ZN0eY9ugiCDse3AcOgX4mn0efW4GynsJ0B+/dB75oLHwPKCBLDLempEtVz+HjT1sRDbFgo2c1g/HLkKrF9HWyx2DIoKkjiOpNXeOAABo9XpklVdJnIaIyLksOn4Rvh8tw460XGPbfV1jsX3KzQhwdzX7PPqsVFTeHGHSppr1Edw/WwdB6WK1vFbDOWxEdsE5bOSUanQ6vLP7BADDkEBzJ3c7q1vahaNfWAAOZBVgzYU0PN6no9SRiIhavDJNDaat2YWV59OMbasmD8eEDpHNOo8oiqiaNhD6E3tN2lXPfQyXKc9ZJatNcJVIIrtgwUZOafnpZGSVVyHMyx0P92wvdRzJCYKAW9tH4EBWARaeuMiCjYjIAlq9HmN/3oxNyVnGtu5BbbD6zuGI9vUy6xyiugq1KxZA83HDgszlmXehmv6y1fLajFC/cTYLNiJbYsFGTmnFuVQAwCM923FVxDoP92yPOduPYn9mAf5OzMRNcW2v/iIiIjKRX1mNoE+Wm7T9OulGTOoYCXkzNsCueuB66BNOmrQpRt4Btw9/s0pOexC4SiSRXXAOGzmdw9kFWHMhHQAwLDpU4jSOI9jTDf51G7RytUgiouYRRRGZZZUYtGi9SfvxR27F5M7RZhVroiiids1CVIwMaVCseaxLgeu7P1s1s62JMkMPm8CCjcim2MNGTufLQ4aNskfHhmFIZLDEaRzLzH6d8fqOo0gqKYcoiq1+bh8RkTlKq2vg+9GyBu3zh/U2e8sYURRRdVdP6BNONHjO5fE3IAuLsjin/bFgI7IHFmzkVERRxO4MwypdT/bpyILkX2b264S3dx5HQZUGfydl4ua4cKkjERE5rHJNLRaeuIgZf+83aV85eRhu62BegSXqdKiaej30Zw41eE45YTpUr30DQd5Ch+4b32NZsBHZEgs2cipbU7JxvrAMCpmA69sGSh3H4XirXDClWxx+OJ6AdQkZLNiIiJpQrqmF94dLG7T/M3UMBjdj9IZu/+YGxZosvitUT70DxY23WpxTSiL3YSOyC85hI6ey7FQyAMP+N8GebhKncUxj4g2Ljfx4/CLKNbUSpyEicjw6vb7RYi3/ubvNLtZErRbquQ9C/dTNxjZ5vxHw3FkKj99OtvhiDYCxh03gKpFENsUeNnIaFTW1WHTiIgDg3i6xEqdxXBM7RKKtlzsyy6vw7u4TmD+8j9SRiIgcQpFag8GL/sKZghKT9ts7RuHT0f3M2gRbn5kMsaQAVff3M2lXjL4Lbu8vb+JVLVT9kEh2sBHZFAs2chof7DkFnSiirZc7RnPJ+ibJZTL0bxuIP86lYsW5VBZsREQAFp+4iAfW7GrQnvbMZET4eJh1Du3uDVA/PcakTYiIg+vzn0Lef6RVcjoSsb6HDexhI7IlDokkp7ExORMAEN/GvE1LW7P36oq0C0Vl2JyUdZWjiYic208nEhsUa9e3DYT2lalmFWtieSl0pw82KNZcHn0dnmsuQjHkFgiqq/fOtTicw0ZkF+xhI6dQrqnF/swCAMAno/td5Whq5+cNN4Ucaq0OP51MxMjYMKkjERHZXVJxOeK+WNGg/bOb+uPp6zqZfR7185OgO7DVpM1jQzpkwa1jYScu609kW+xhI6fw/bELAIBAd1d0C2ojcZqWYcUdwwAA21JzIPLNlohamTP5JQ2KNS8XJXKevcvsYk2s0UDz/XyTYk056RF47q1qHcWajD1sRPbAgo2cwqbkbADA9J7xUMj4Y22OoVEhUMpkSC+rxN9JmVLHISKymzd2HEWXBatM2kbFhKH4+XvMXmFYFEVUv/kQaj5/1dgm69YfLo+9AcG1laxSLHDjbCJ74JBIavFSSyqw/mIGAGBENIf2mctdqYCLXIZavR5jft4Mcc40qSMREdlUcnE5en63BmWXbWnyzo298eKArmbf7NMlnkH1Gw9Cf+qAsU1570y4TPkPZCERVs/syERw42wie2BXBLV4fyakAwA6BfhgZEyoxGlaluf6dzF+nVRcLmESIiLbOl9YitgvVpgUa68M7I5XBnU3u1jTHtqOqju6mBRrLtNnw/WFT1tdsQbgsmX9WbAR2RILNmrxFhw5DwB4rHcHCPVvHmSW14f0MH49c+N+CZMQEdnGR3tPQZi3EB2/WmnSfkenKLwzrLdZ5xC1WmgWvAn1I8NM2uU9B8Ll4TlWy9ri1K0SKePG2UQ2xSGR1KKtv5iBU/klAID7unKz7OZSyGQYGhmMHWm5SC2tlDoOEZFVrU1IxwtbDpm0rbhjGHoG+yHWzC1g9GkXoX7+dugTThjbXJ6aB5c7Hofg62/VvC0ON84msgsWbNSifX8sAQDg76ZCgLsT7nFjB0tvG4Lw//2G0/klKKiq5t8jEbVoRWoNVp9Pw/S1uxs897+b+mNSxyizz1W7ZhGq504zPlYMvRWu7y1vPYuKXI1xUAsrNiJbYsFGLVZKSTlWn08DAKycPFziNC1XW28PdA9qgxN5xdiSnI27usRIHYmI6JpsTsrCqGUbTdoUMgFJT91h1gbYgGH1R+3m36H5Yg7E1AvGdpdpL0E18z2r5m3pxLohkVwlksi2OIeNWqz9mQXQiSK6BbXBoIggqeO0aP3bBgIA3tl94ipHEhE5psSisgbFGgBkzbzL7GINAKpfuQ/VL95pWqw98RZcHn3dKjmdS/2QSM5hI7Ilpy7YSkpK8OKLL6Jbt24IDQ1FSEgIQkJC0LlzZzzxxBPIzc29pvOeOXMG7dq1s3Jaaq6EojIAQJ8Qfy42YqHrQgMAACfzipFfWS1xGiIi84miiKUnExH/5R8m7V/cfD3EOdMQ6HH1Yd6iXo/a1T9CPes2aDf8bGyX9x8Jz71VUD36GgQ3d6tnb/Hq92HjkEgim3Lagk2n02HEiBHw8PDA9u3bkZWVhZycHOTk5GDv3r3o2LEjBg4ciKqqqmadt6ysDJMnT0ZSUpKNkpM59KJonL/WNchX2jBOYGr3OOPXfyVmSJiEiMh8xWoNZO8swv2rd5q0P9e/C57s29Hs89T+/jWq35gO7fbVxjbXN36A+9ebOF/tSuq3Q+CQSCKbctqCbeXKlYiOjsbcuXPh72/aA+Pj44OZM2di7NixWLBggdnnFEURDz74IKZMmQIvL/NWlyLbeH7zQaSUVkAll2FKt7irv4CuSKWQ480hPQEAP59OljYMEdFV6PR6HMwqgN/HPzd47sKTk/DxqOvMPpf24DZo3n3K+FjeazA8D2ignPCgVbI6t7oeNhZsRDbltAXbyZMnMWzYsCseM3LkSJw8edLsc3700Ueora3Fiy++aGk8soAoilh93rBZ9h2dohHkwbuf1nBre8OmrzvTclFVq5U4DRFR4xafuAjF/MXo98Nak/augb449sitaOfnbdZ5RHUV1LNug/rRS4tWuTz5Nty+/BuC0sWqmZ2VKLBgI7IHp10lMiMjA927d7/iMWFhYUhLSzPrfNu2bcN3332H/fv3QyZz2jq3RTiUXYikknK4KuT4aswNUsdxGt2C2iDE0w05FWosPnERj/cxfzgREZE9/HYmBQ+s2dWgPXfWXWbfvBO1WohZKaicYDoX3X3hHsh78D2lWTgkksgunLby0Ol0kMvlVzxGoVBAq716T0JGRgamTZuG5cuXw9fX1+wMGo0GZWVlJn/Icvsz8wEAI2NC4aVSSpzGechlMjzSsz0AYG9GvsRpiIguOZCZj/tW/oM7/9hu0r5y8jCIc6aZXazpzh5BxXXKBsWa69uLWaxdE/awEdmD0/awWUtNTQ0mT56MuXPnolevXs167bvvvos333zTRslar9TSCgBAfBvzhr2Q+QZEGJb3X5OQjmK1Bm3cVBInIqLWbFtKNoYv+btB+5i4tlh/zyizzyOWFqF28+/QzHvM2Cb4+kNx0z1wefR1yPwCrZK31eHG2UR24bQ9bP92/vx5xMbG4sKFC1c/+DKzZs1C165dMX369GZfc/bs2SgtLTX+SU9Pb/Y5qKEzBaUAgKhm7KtD5hkVE4Yugb4oqa7B10fOSx2HiFopvShia3LjxRoArLjjynPUL6dLPI2KG/1NijXF2PvgsS4Fri9/xmLNEtw4m8guWk0PW4cOHZq9FP/ixYuxd+9e7Nmz55quqVKpoFKxh8Ka8irV2JCYCQC4MSpE4jTORy6T4dl+nfHIuj34/WwqZg+88jxQIiJb+OLQOcz4e79JW6S3Bz4d3Q8TO0aZdQ5RFKE7/A/Uj9xo0q68/TG4zvnaWlFbtUuLjnDjbCJbctqCzZz5aVqtFgpF438Fx48fx+zZs7Fz5064ul59002yj3UJGdCLInoG+6FniL/UcZzShPaReGz9XhzJKURKSTmifbmFBRHZR7VWi/m7TuLtXcdN2k89NgEd/X0gb8aiXzXfz0fNF3OMjxXjH4Bi2EQobrzVanlbu8u3TCIi23Hagi08PBw5OTlXPCYrKwuRkZGNPvfll1+isrISAwYMaPT50tJShISE4MMPP8SUKVMszkvm+fzQOQDA5E7R0gZxYoEerhgSGYztqTlYeT4Ns/p3kToSEbUCXx8+hyf+2mfSdnD6LegbFtCs84iiCM0HM1G7/DNjm+KWqXB7a6E1YtLluKw/kV047Ry2bt26YcuWLVc8ZsuWLejWrVujzy1YsAAlJSXIyclp9I+Pjw9ycnJYrNnRsZxCHMkphEwQ8Eiv9lLHcWrj4sMBANtTr3zTg4jIGtZcSGtQrP0zdUyzijWxrBi1G5aj6q6eJsWa68d/wHXOAqtlpUtEgcv6E9mD0/aw3XbbbXjvvfcwd+5czJgxA35+fsau+7KyMixatAjr1q3D8ePHr3ImchT/d+AsAGBSx0gEenCYqi0NjgwGAGxJzkZhVTX83fn3TUTWVaTWIL2sEj2/XWPS3iXQF6snD0ecmRtgA4A+KxWVEzsANRqTdtXzn0A5fKJV8lIjOIeNyC6ctodNLpdj8+bNUKvVGDp0KMLCwhASEoKQkBD069cPp06dwq5du+DhYVhpcPv27YiPjzd7r7S2bdvaMj79S16lGgtPXAQAjG8XIXEa53ddWAA6+HujslbLXjYisrqtydnw//jnBsXaA93jcOTh8WYXa2J5CdRzpqJyXLRJseby8Bx4HtHD5b5nrZiaGhIu+18ishWn7WEDAB8fH3zwwQf44IMPrnrsjTfeiIsXL5p97tOnT1sSjZrpcHah8etb27NgszWZIGBAeBDOF5ZhzYV03M45g0RkBXpRxOcHz2LmxgMNnst59i4Ee5q3ATYA6I7tQdWDAxu0u879Hsrbmr8VD10DGYdEEtmD0/awkXM5lV8CAJjYIRK+rtwqwR5GRIcCAH45k4xaHYe7EJFlcivUkL+zqNFireC5u80u1kSdDpof3mtQrLk8/ga8joos1uyJQyKJ7IIFG7UIi+qGQ/bmUv52c2/XWChlMmh0epzOL5Y6DhG1UKIo4rczKQj59JcGz62aPBzql+83a56sWFGGml+/QuWYSNR8NtvYrrhlKjzWXITqsblWzU1mMC7rzx42Ilty6iGR5BzKNbU4XdfDNr1nO2nDtCKCIGBwZDC2pmTj26MJ+GIMi2Uiar7RyzZic3K2Sdvrg3vg+eu7wkulNOsc+rSLqHpiFMSsFJN21/+ugnLYBGtFpeaqWyVSYL1GZFMs2MjhrTyfCgAI9XRDmJe7xGlalyf7dMDWlGxsSMyEKIrcJJWIzPbilkP4cO8pk7ZBEUHYMXUMZM34XaJLPoeqSZ0atHvuqYDg5mFxTrp2IodEEtkFh0SSw1t3MQMAcE+XWImTtD7Do0PhIpchqaQcGxIzpY5DRC3E3B1HGxRrgyOCsf7uUc0r1o7tabRYc31rEYs1B3Dpn5JdbES2xB42cmi5FWr8eiYFADA8OkTaMK1QGzcVJneKxtJTSdiVnocxdRtqExE15lhOIQYsXA+1VmfSvvuBsRgQEWTWOfTFBYC6Etrtq6H5cKbJc+6L9kIW1R7wbmO1zGQB45BIFmxEtsSCjRzalpRL8x56ccERSfRvG4ilp5Lw/bELeHNoTyhk7JgnIlNnC0rw0Nrd2JuRb9LeKcAH6+4aiZg2XmadRxRFqB8eCn3SGZN25dTn4TrrQ6vlJWup62JjvUZkUyzYyKE9vWEfAKBLoC/nr0nkvq6xmPH3fuRWVuNiURk6BvhKHYmIHIRWr8cr2440GP4IAAlPTkK8mRtgA4A+Ow01P/+vQbEmHzwOqodftTgr2QDnNRPZBQs2cljqWi2Kq2sAAOPbcbNsqfi5qdArxA9Hc4pwtqCUBRsRGbX/8g8kl1SYtN0YFYI1d44wewVIANDu3Qj1kzeZtKle+BTKu56GIJdbJSvZjsAuNiKb4tgmclhpZZXGr5/s01HCJNQt0DBfZMmpJImTEJHURFHEm/8cgzBvYYNiDQD+vMv8Yk3U6VAxJtKkWBOi2sN92WG43DuTxZqjM27DxoKNyJbYw0YO67ODZwEAXQN9EeHD1cCkdH+3OCw+mYiDWQVSRyEiifl8uAzlNbUmbY/1bo/ZA7ojytfT7PPUrPwemrcebtDusfQQBA/z5ryRxATe9yeyBxZs5LBO5hUDAHxULhInoV4hfgCA9LJK5FaoEezpJnEiIrK3kmoNoj/7vUGxtvjWwZjSPc7s8+iz01B5SwygN927S/XsB1De+RQEN85XbnnYw0ZkS7w1Qg7rYnE5AOCjkX0lTkL+bipE+xjunH979ILEaYjI3n44loA2H/2MUo1psXb04fHNKtZ0iadROTaqQbHmsS4FLg+8wGKthRGMG2ezYCOyJfawkUM6kJmPrPIqAGjWKmNkG4IgYHrPdnh9x1EcyuawSKLWQl2rRbsv/0Bm3e/jeotuHYSp3ePNPo/20HbU/PAudHs3mrS7fvAbFP1HQOC+akRETWLBRg7p6yPnAQBj4toiwN1V4jQEAEMjgwEA6y9mIqeiCiGevBNO5Mye23QAn+w/06D97aG9mlWs1az4Bpp5j5m0uTz0ClRPv2NxRpJY/bL+7GEjsikWbORwtHo9Vl9IBwC8cENXidNQvUGRwWjn542EojLszcjHxI5RUkciIht5bN0efNPI8Of0GZMR7m3eIlCiKKLm23mo+ep1k3b35ccg79DDKjlJYtyHjcguWLCRwzlbUIoitQbeKiUG1/XqkPRkgoAb2gYioagM3x9LYMFG5IS0ej3e3nm8QbG2Z9pY3BAeZNY5xGo1an58DzXfvGXS7r7sMOSdelstKzkOlm1EtsWCjRzO0ZxCAECPID8oZFwXx5Hc1SUGi08mYnNyFrR6Pf99iJxIdnkVwv7v1wbta+4cYX6xpq5CxQDTHjh57yFw+78/IXhyPrKzETgkksgu+GmLHM6Sk4bNma8PD5Q4Cf3bzXFt4aFUQKPT40x+idRxiMgKRFHEy1sPNSjWPhjRF6cfuw3j20dc/Rx6ParfeKhBsaa4+R64fbedxZqz4pBIIrtgDxs5FHWtFv+k5QAApvcwf1I72YdMEDA4MhgbEjOx+GQiPgr2kzoSEV0jURSx5kI6tqVm4/8OnDW2j4gOxcrJw+GlUpp3Hp0Omk9eQO3qH4xtsg494bH8qNUzk4NiDxuRTbFgI4fyw/EEaHR6hHq6oYO/j9RxqBH3donFhsRMfLzvNF4f3APe3NicqMWp1mrx9Ib9+P5Ygkn7mLi2WH/PKLPOIZaXovrdJ6H9a5lJu+vbi6EYfafVspIjq9uHjRtnE9kUCzZyKPszDXt8Pdij3aWx8eRQbrhsqOr6ixm4u0ushGmIqDkSisqw4mwKZm87YtL+SK/2+HLM9WbPS9WdOYyq+/qatCmGT4Tre8shKHkTp9Xg+zSRXVi9YNPr9RAEgR+2qdmqtVr8dDIRANCTQ+0cVryfN9yVClTVanGhsEzqOERkph+OJeChtbsbtM8e0A3zh/cx+zxitdqkWFOMuReqp+dDFsaVY1ubSx/12MNGZEsWLzpSWlqK2bNno0+fPvD394dSqYS7uzuOHDHcvevVqxeGDx+OjRs3WhyWnNuGxEzj131D/SVMQlfz2qDuAIBd6XkSJyEicwxd/FeDYu31wT3wwy0DMW+YeUvti6II9Ut3oeIGd2ObLL4r3OYvZbHWahk+Rgqs14hsyqKCraSkBF26dMFXX32FAQMGYM6cOfjwww+h0WiQk2NYOOLtt9+GIAi45ZZbsGvXLquEJuf0T1ouAGB4dChi2nhJnIaupH4Ptk3JWSjX1EqchoiaUlKtQeevVxp/v9a7+OQkvDm0Fx7s2Q4yM0fEaP9cDO3Gy1aSVCjgvuxI0y8g58fRVER2YdGQyLlz50KtVuP8+fMIDjZscJyZmYnnn3/eeMwtt9yCsWPHom/fvvj0008xaNAgyxKT01qbkAEAeKJPB4mT0NV08PdBsIcrciurca6wFNeFBUgdiYguI4oi1l3MwPhftpi0vzygG94a2gtKufn3a8WSQtT88S1qPpttbFO98H9wuXeG1fJSC1Vfr3GVSCKbsqhg27FjB+69915jsdYUmUyGsWPHYunSpZZcjpxYRU0tEooM86GGR4dKnIbM0TWwDXIrs7H0VCILNiIH8/j6vfjm6AWTti333YThMc37/ao9/A/UDw81aXN9bzmUN91lcUZyHlwlksi2LBoSefHiRURFmTduPSAgwDhMkujfPt53GgAQ7OEKPzeVxGnIHNN7tgMAbEzKkjgJEdVLKi6H4p1FDYq1N4f0bFaxps/NQM0f35oUa8op/4HHljwWa2Qk1HWxsVwjsi2Letiqqqrg7u5+9QMBKJVK1NTUWHI5cmIHsgzL+Qe4u0qchMw1oq4n9FxBKfIrqxHowX87IintSsvF4MV/mbRtvHc0RsWGNes8+owkVI6PM2lTzVkAl9sftTgjORlZ3T5sHBJJZFMWrxIpmvkfqbnHUet0vrAUAPC/0f0lTkLmCvZ0Q99Qf4gAfjubInUcolZJFEVkllXiluWbTYq168ICcPih8c0q1kRRhPqN6SbFmuKWqXD7djuLNWoCN84msgeLetj8/PxQUlJi1rHl5eVo06aNJZcjJ3UkuxCJxeUAgE4BPhKnoeaY2CEKh7ILsTUlG0/27Sh1HKJW55F1e/D9sQTjY6VMhk9H92v2f481P38GzQemi4go734Gri/9zyo5ybnxnjyRbVlUsMXHx+PMmTNmHXvhwgXExcVd/UBqdbanGuY2jooJQ6iXeUNsyTEMiw4BYPg31Iui2cuDE5HlzhWUmBRrXi5KnH7sNkT4eJh9DlEUUTk8EGJJoUm7+/JjkLXvbrWs5KSE+h42IrIli4ZETpw4Eb/++is2bNhwxeMOHjyIn3/+GbfffrsllyMndbagBABwfdtAaYNQs/UNDYCHUoFCtQan8oqljkPUKmi0Oryy9TA6fb3K2Lbu7pFInzG5WcWaPisFVZM6mRRrbv9bB88jesg79IDAGzB0NfwZIbILi3rYnnvuOfz9998YN24cOnXqhNjYWCiVSgDARx99hIULFyI9PR0HDx7EoEGDMGvWLKuEJueyNzMfANAjmENmWxqlXIZBEUH4OykLfyVmonuwn9SRiJxaRU0t4r9YgdzKagBAOz9vLBw/CAMigsw+hz4vC+pnx0N/9rJNr1Wu8NyYBcGbv4fJfMZyjWMiiWzKoh42pVKJrVu34vfff8fIkSMhk8lQVFSEoUOHQhRFVFdXo1+/fvjll1+wfft2YzFHVO9CYSlO55dAJgi4MSpE6jh0DSZ3igYAfH7wLGp1emnDEDmpGp0OI5b8Da8PlhqLtVcHdseZx29rVrGmO38MlTe1NSnWVK9/B699ahZr1HwCFx0hsgeLetjqTZw4ERMnTrTGqaiVqV9d8Oa4tvDnkv4t0n3dYvHytsPIKK/Cnow8DGXhTWQ1Or0ez28+hE8PmM4Xf3Vgd8wb1tvs84jVamj+7yXULv/MpF31wqdQ3jbdKlmpFeKQSCK7sErBRnStNidnAwBuaRcucRK6Vq4KBW6MCsHvZ1OxlwUbkVWoa7X4MyEdf15Ix5JTScb2aB9PrL17BLoEmt8bps/PRtXDQyGm1S1Q4t0Gqhnvcal+sh4OiSSyKRZsJJlitQZ7MvIAACNjmrexKzmW3iH++P1sKs4UlEodhajFq6rVwuP9JQ3aV00ejgkdIs0+jz4vC7V/LkTNF3OMH6gVY+6F6ztLuKAIWYXAIZFEdsGCjSSz5FQSanR6dA30RXwbL6njkAXa+XkDuLQBOhFdm5N5xej+zWqTtpWTh+Gm2LZwU5r3li3q9aiaej30pw9eanT3hNv7v0IxaIw14xIRkR2Y9dt/yJAhSElJsfhisbGx2L59u8XnIedwPLcIADCpYxTv9rZw3YMMw7MOZRcitaQCUb6eEiciallKqjUYuPAvnKnb5qRe2jPNW6pfl3gGVXd0adDu/sXfkPccYGlMIlP1790cEklkU2YVbNOmTUN6erpJmyiKeOuttzBmzBj069ev0deJoojjx49j3bp1GDVqFPdhIxOn80sAAJ0CfKQNQhZr7++DnsF+OJZbhCM5hSzYiJop7os/UKTWmLS9PbRXs4o17a6/oH52vGmjTAbPf0ogeHAUA9mAYFhsnLdciWzLrIJt+vTGV5B66623MG7cODz55JNXfP2SJUvw2GOP4ZNPPml+QnJKFTW1OJRdAADoF8YNs51BR38fHMstwm9nUzCxY5TUcYhaBFEU8dSGfSbF2tj4cCy9bTB8XVXmnaO0CJV39YCYm2HS7jp/GZRj7rFqXiIisj+L9mEz1/3334/IyEh8+OGH9rgctQA7UnOg1YuI9fVCLOevOYX6f8efTydDz+ExRGbZnJyNrw6fBwD0CfWHOGca1t090qxiTdTpULPye1TcHG5SrLkt2ALPQ1oWa2RzAodEEtmFXQo2ABg9ejS2bt1qr8uRg9uUnAUAGBkTKnESspYn+nQwfp1cXC5hEqKW42hOofHrFbcPM/t1oiii5vNXoXnrYaBabWx3/+0kFP2GQ5DLrZqTqFFcJZLILuxWsIWGhiI3N9delyMHJooi/k6sL9i4nL+zCPf2QJ9QfwDA0boFZYjoyk7mFQMA5g7uYfbcT1GvR9X9/VCz8H1jm+qVr+B1VIQ8vqtNchIRkXTsVrB5enpCrVZf/UByesdzi3CusBQquQyjYtnD5kx6hxgKtiPZhVc5kog0Wh1WnEsFAAyODDbrNfqMJFTd0xv6M4eMbS7PvAuXyY/bJCPRlXBIJJF9WFSweXl5obzcvKFPlZWV8PLiXCUCfj9r+IByS7sIsyfVU8vQK8QPAPBXYqbESYgc37nCUqi1OviolBgefeWbV2KNBppv56FyfBz0F44DMhlcHnkNXkdFqKa/bKfERP9iHBJJRLZk0cbZ8fHxSExMNOvYpKQkxMbGWnI5chKn8g1DgG6MCpE4CVlbr2BDwXYstwj7MvJwfXiQxImIHNepuuGQ3YLaXHEvSlGrRfXr06D9e7mhQaGE+89HOPyRiKiVsKiHbfTo0Vi2bBkSEhKueNyFCxewdOlS3HTTTZZcjpzE2YJSAEB7P2+Jk5C19azrYQOAA1kFEiYhcnwn8y8VbE3RHt2FqoeGGIo1uRyKcVPg/u12FmvkEDgkksg+LOphmzNnDlauXIlu3bph3LhxiIqKgqfnpUnTFRUVSElJwfr16xEdHY05c+ZYHJhatmM5hbhQVAa5IKB7cNMfUqhlclUo8GSfjvjy8DlsSs7CjH6dpY5E5LBO5ZUAALoGNvxdKIoiKsdEXlquXy6H67wlUN58tx0TEl2ZyMGQRHZhUcHm4eGBEydO4IsvvsCOHTuwdetWlJaWGp/38fFBdHQ03n33XTz55JNQqThfqbXbm5kPABgRE4oQT3eJ05AtxPsZ5qquTciAulYLN6VFv2aInNapJnrYajevgOb9pyEW5AAA5L0GQfXSZ5B36GnviERXJHBZfyK7sPiTlIuLC2bNmoVZs2ZZIw85uYN1w+R6Bvtd5UhqqW6Oa4vnNh0EACSVlKNLI70HRK1dmaYGqaWVAIAugb4AAH1qAqrnPwHdgS0mx7p9th6CBxftIsfDIZFE9mG3Zf2JtHo9/qhbwnp0LPdfc1adAnyNy/sncgNtokadzi8BAIR5ucO3MBP6lPOovK+PsViTDx4Htx93wfNgLYs1IqJWjmOVyG5O5BajVFMLb5WSK0Q6uU4BPjiSU4jV59Nxa/tIqeMQOZxjdZvLT6zNQeX4OGO7ENUebv9dBXlsJ6miEZmvfkgkO9iIbIo9bGQ3Px43rCY6NDIEchl/9JzZgz3iAQC/n0uByKEyRA2sS8hAh7JMvLzhA5N21zkLWKxRy8E5bER2YVEP2/fff4/U1FSzj4+KisJDDz1kySWpBatfcGRKt7irHEkt3YDwIKjkMpRpavHz6WTc25V7MBLVE2tr8cSS5zEk87hJu2L4RCj63ihNKKJrwDUiiezDooJt6dKlSE5ObvJ5rVaLzMxMCIKA8PBwxMXFsWBrpXR6Pc7V7b/WLchX2jBkc25KBSZ2iMLyM8nYl5nPgo2oji75HKomdcKQ+oZOfeB6/ywohk0ElC5SRiNqPi46QmQXFhVsW7duveoxycnJeOihhxAWFoYlS5ZYcjlqwbYkZ6OyVos2ri6Ia8MNs1uDYdEhWH4mGRcKS69+MJGTE2trUT37Hmi3rDC2LepyC55e8qeEqYgsxCGRRHZh84lEMTExWLlyJVavXo1ly5bZ+nLkoHak5QIAbusQCaWc89dag84BvgCAzcnZyK1QSxuGSEL64gJU3dXdpFj7PH40No55SsJURJbjkEgi+7DLJ2cfHx+MHz8eP/74oz0uRw5oV7qhYLsuLEDiJGQvAyOCEO3jCZ0oGlfEI2pNRHUVqh4chMrhgdAnnwMAKKf8B0++vg2v9LgH3cOCJE5IZBmxvmRjBxuRTdmtq6Ndu3Y4fvz41Q8kp5NXqcY/abkQAIyNC5c6DtmJIAjoEWzYNDuhqEziNET2pd3xJyqG+EJ3bLehwdMbrvOXwfW5j7A7swCAYdgwUUsmyDgkksge7Faw+fv7o6iId9lbo+O5xQCAdn7eiPL1lDgN2VO3IEPBtjEpS+IkRPahLy6A5v9egvq52wBtrbHdfcFWKMfcA41Wh5SSCgBAl0BfaUISWQmHRBLZh90KtpqaGri6utrrcuRANiRmAgC61/W2UOtxe8coAMD21Bzux0ZOTdTrUbttNSqHB6Jm4QeAXg/B1x9uX/4Nr6Mi5J37AADOF5ZCBODpokCwh5u0oYksJHLRESK7sGiVyOZIT09HbCyX9m6NVp1PAwDc3TlG4iRkb50DfSEXBJTX1CKzvArh3h5SRyKyOrG2BlX39oH+4iljmxASCY/VFyC4qEyOrb+BNTA8CILA/glq2QRwWX8ie7BLD1thYSGWLVuGQYMG2eNy5EAKqqqRVFIOABgSyfkarY2LXI7OdcO+VpxLlTYMkZWJej0037+LyltijcWa0DYGiuETGy3WgEtDxIdFh9o1K5FN8KYDkV1Y1MO2ceNGZGRkNPl8RUUF0tLSsHjxYgiCgLfeesuSy1ELtPD4RQBAfBsvBHpwSGxr9ED3ODy/+RA2J2dhZr/OUschsgrd+WOo+X4+tJt+M7Yphk+E28d/XPF1CcWGBXja+3E/Smr5BOOQSCKyJYsKtqeeegqJiYlNPu/l5YXo6GjcfffdeO211xAQwCXdW5tT+Ya7yfd3i5M4CUnlhraGpcv3ZeZDq9dDIeM+fNSy1W5bhernJpq0Ke+dCZeHXrni6ypqanEyz/A7sTMXHCEiIjNZVLAlJCRYKwc5qaRiw2poHfx5N7m16hvmj0B3V+RXVWNHag5GxIRJHYnomunOHTUp1pR3PgnVU/MgeF99UaU96Xmo1uoQ7ePJHjZyDgLnsBHZA291k81Ua7U4mlsIAOjg7yNxGpKKi1yOAeGBAICzBaUSpyFqPlFdidpVP0A990FU3dPb2O72v3Vwnf2FWcUaAFyo24+wR3AbLjhCTkHgKpFEdmG3VSKp9TmQWYCKGi1CPd3QI9hP6jgkoXZ1vQkXuIE2tTCiXo+KAQ33j1ROmA7F4LHNOlf9z3879q4REVEzWNTDNn/+fLOHRV64cAHz58+35HLUwhyvm6vRNzQAMt5NbtV6hfgDALYkZ0uchMh8YnkpNB/MMGkTotrD7YsNUM1Z0OzzHc42jDjoHsQbWOQk6nvYOCSSyKYsKtjmzJmDTZs2mXXsqlWr8P7771tyOWphfj+bAgDoHcIPJ63dmLi2AIAzBSXIr6yWOA3RlenOHkH1+zNQMbQNan/5wtjuOvd7eK46D8WAmyAomjdApVanx5EcQ8HWvy0X4CLnIAicWUNkD3b7Ly0lJQUxMdw4ubWo1mqxOz0PADC1e7zEaUhqbdxUxkUW1l9seisQIqnVLPkEVff2Qe3yz4wLKch6DIDngRoob5t+zec9kVeEaq0ObVxdOCSSiIiaxS4FW2pqKpYuXYoRI0bY43LkANYmZEAnivBzUyHGt+H8D2p9JnaMBAB8f4yry5LjEUsKUfX0WGg+fs7Yphg3BW5fbYL7FxsgKJUWnX9DYiYAYEB4EBccIefBIZFEdtGsMR0JCQlYsmQJxMv+w/zzzz+Rk5PT6PFVVVVIT0/H2rVrERQUhNdff92ytNRi/HomBQAwJDKYH04IADCtezze33MKB7MLUKPTwUUulzoSEQBAe2g71I8MM2lTvfYNXCY9YrVr7EzLBQCMaxdutXMSSY6rRBLZRbMKtpMnT+Knn34yKdgOHDiAc+fONXq8h4cHoqOjMWfOHMycORPu7u6WpW2GkpISzJ8/H3/99RcKCgqMmf38/DB06FC88cYbCA4OvuLr58yZg3Xr1kGtVhvbFQoF2rdvj3nz5mHAgAE2/z5aqsTicgDAA925YTYZdPD3gb+bCoVqDY7mFKF/20CpI1ErJ1aUQXfxZMNi7T//tWqxBgAn80sAAL24Yi45Ed6OJbKPZhVskyZNwqRJk4yPZTIZ3n77bTz55JNWD2YJnU6HESNG4NZbb8X27dvh5+dn7OUpLS3FwoULMXDgQJw4caLJInLWrFnw9fXFqVOn4OHhYWzX6/XYs2cP7rvvPuzevRthYdwE+N+yyquMk+vj23CuBhkIgoAB4UH4MyEdu9PzWLCRpPQp51E5saNJm/K+Z6EcNwXyTr2beNW1KVJrkFVeBQDoHOhr1XMTSYkjaIjsw6I5bN7e3vDxcbwNkVeuXIno6GjMnTsX/v7+Jr9QfHx8MHPmTIwdOxYLFjS9LPOGDRswf/58k2INMBSpgwYNwt13343Vq1fb7HtoydZcSAMAhHu5o1OA4/18kHTqN9Dek5EncRJqzWq3rmxQrClGTYbr859YvVgDgNN1vWuR3h7wVrlY/fxEUuMcNiLbsmjj7MzMzAYFjSM4efIkhg0bdsVjRo4ciVWrVjX5/Isvvgg3N7cmn4+IiEB6evq1RnRqZwpKAQB3do6BXMYlf+mSgRGGYci7M/IgiiLvzpJdiSWFqBjWcEl9Wbf+cH3/F5td91S+YU/KrkFtbHYNIknwdziRXVj0adoRizUAyMjIQGho6BWPCQsLQ1paWpPPz5o164qvP3XqFOLjuVz9v+lFEX+cSwUA9OL+a/QvfUP9oZTJkFOhRnJJhdRxqJUQtVrULP64QbGmmvURPA9p4bF4n01vHpzKKwEAdOVwSHI2XHSEyC7M7mHLy8vDhQsX0L17d3h7O/a8JJ1OB/lVVqBTKBTQarXXdP41a9Zgw4YNeOedd654nEajgUajMT4uKyu7puu1JDkVamSWV0EmCLi9Y5TUccjBuCkV6B3qh/2ZBdiTkYfYNl5SRyInJ+p0qHpoCPQn9hrbZDGd4P7riWZvfn2tDmYXAAC6s4eNnIzAZf2J7MLsd6uuXbuisLAQgwYNwo4dOwAAU6dORUpKitkXi46OxuLFi5sd0lEUFxdj1qxZ2LlzJ1atWoU2ba785vvuu+/izTfftFM6x1C/OmSYpxvclPb5MEQty8DwYOzPLMDu9Dzc342riJJt6BLPoHbZp9BnpZgUay6PvwHVY3PtlqNcU4vD2YZFmG6MCrHbdYnsw1CwsVwjsi2zP1H7+vqioKAAvr6+xra4uLir9mRdLjo6ujnZrOb8+fMYM2YMNmzYgPbt2zf79aIo4pdffsGLL76I22+/HUeOHDFrsZXZs2fjuecubcJaVlaGiIiIZl+/JZmy+h8AQJBH0/P/qHUbGBGE/+4/jd1ceIRsRBRFVN3RxaRN3m84VDM/gLxzH7tmOVNQAr0oIsTTDW29HXMaAdE1Mw6JJCJbMrtgO3PmDLKzsxEefmnTz7lz7XeX0hIdOnRAUlLSNb02PT0d06ZNgyiK+Ouvv9ClS5erv6iOSqWCSqW6puu2VLK6X95+blwJjRpXv1LkqbxilFRr4Ovauv4bIdsS9Xpot6wwaVPN/hIudz4hSZ4zdStEdvLnirnkfLjmCJF9mL3oiEKhQERERItY1c2c+WlarRaKq8xfOHDgAIYMGYK77roLW7ZsaVax1hrpRRHZFYZNxheM5abi1LgQT8N2DyKAFWdTpY5DTkJ7aDuq5z2Oij5yVL94p7Fdef9zUE5+XLJc/6TlAgD6hjVcnZKopRMEw8dIzmEjsi2nnGQUHh6OnJycKx6TlZWFyMjIJp8vKSnBpEmTsHz5cgwaNMjaEZ3SsZwiVGt1cJHLEMGhP3QFEztE4WzBCRzIKsBDvZo/TJnocrV//YzqV+41aZMPHge3d5ZC8JK2Z2tfZj4Azl8j58ZVIolsy26bZK1evRodO3a8+oFW0K1bN2zZsuWKx2zZsgXdunVr8vmPP/4Y9957L4u1ZtiYlAkAGBcfDqWc+69R0zrWDQ/75ugFqGuvbbVWIn1qAsp7CabFmtIFbt/tgPv/1kperKlrtbhQZFgduFcwtzkhJ+T4g66InILdPlUfPXoUFRX22XfptttuQ0ZGBubOnYvCwkKIl3XVl5WV4bPPPsO6devw6KOPNnmOw4cPY9y4cfaI6zRSSg3/vl0DuXQ1XVn34Es/I3u4+AhdA7GqApW3mfbOujz6Ojx3lkLRZ4hEqUydLSiFXhTh56ZCiCcXYiInVD9Nhh1sRDZldsGm1+uv6Y9arcbBgwfx448/2q23Si6XY/PmzVCr1Rg6dCjCwsIQEhKCkJAQ9OvXD6dOncKuXbuMG39v374d8fHxJvukFRUV4Y477jC+rrE/9913n12+n5ZAq9djwZELAIAoHw6HpCvrcVlvQ3pZpYRJqCWqfn8GKgaa7uHn9uXfUD3xJgSVq0SpGjpdt+BI10DfFjH/m6i5BOP/s2IjsiWz5rDFxcU1a7+1xnTp0gUffPCBRedoDh8fH3zwwQdmXfPGG2/ExYsXTdr27dtnq2hO6VBWgfHr/m0DJUxCLcVDPdvh+2MJSCtlwUbmEUsKUfXwUOgTTxvbFKPvgtv7yyVM1bTTBcUAOOqAnFf9oiNEZFtmFWxff/01srKyrukCrq6uiImJQZ8+fZq1Zxu1LCfy6j+Y+KJrED+c0NV1CjDML1p1IQ2vD+kpbRhyaGK1GhVDfIHaGpN21zd+gGL8A9KEMkN9D1uXQF9JcxDZTP0+bFwlksimzCrYRo0aZesc1MJtSckGANzavumVN4kud1/XWDy/+RCO5hShoqYWni5KqSORA9IlnkbVHV0btLs89AqUEx6UIJF5RFHEoexCAEA33sQiJ8chkUS2xb5ssortqYZtFMbGt5U4CbUUIZ7uCK1biOFAZsFVjqbWqHbzikaLNfcfd8PlqXkSJDLf+cJS5FSo4aaQox/3YCNnxbmZRHbBgo0sllepRl5lNQQAPbl0NTXD6NgwAMCy00kSJyFHU/3OE6h+4Q7jY8WI2+GxOgGe/xRD3nOAwy/icaBuXm+vEH+oFJwOQM6Jc9iI7MPqG2fr9Xrj1zIZ/0NuDbalGHrXOgb4wIPD2qgZRsWEYdGJRFwsKrv6wdQqiOUlqH5/BrTrfjK2uX2zFYrrhkmYqvm+O5oAAOgRzOGQ5LyMq0RyDhuRTVlcUeXn5+OZZ55B9+7d4eXlBaVSafzj5eWF7t2745lnnkFeHvdaclb189fGxYdLnIRamhhfw9Ls9Xv4UetW8/NnqBjSxlisyWI7w3NvVYsr1kRRxMFsQw/bPV1iJU5DZEMO3tNN5Cws6mHLy8tD586dIQgCHnjgAURHR8PL69LeOOXl5UhJScHixYuxfPlynD59GkFBQRaHJsdyIq8IAHAd52lQM8X7GX5fpJZW4lxBCToG+EobiCQhiiI0789A7S+fG9sEX3+4L94HwbXlbThdUKVBtVYHAeD8NXJu9atEctERIpuyqGB7/fXXAQDnzp2Dv79/k8e9/PLL6NSpE+bOnYuvvvrKkkuSg8mrVONw3UpovUOa/hkgakyQhxtGxoRic3I2Nidns2BrZcRqNapffwDaTb+ZtLs88hpcnnjT4eepNeVCUSkAINjTjfPXqFUQWK8R2ZRFBduePXtwzz33XLFYA4CAgADcc8892LZtmyWXIwe0JyMPWr2IbkFtEO/nLXUcaoH6hwVic3I2jucWSR2F7Eifnw3Ne09Bu3XlpUYfP3iuToDg07IXL/rlTAoAYEA4R5SQc2upN1WIWhqL5rAlJiYiKirKrGMjIyORnJxsyeXIAS0/bfg37RbIifV0bfq1NQwZ25iUBZET11sF7YGtqBwdZlKsKSdMd4piDQCO1I06mNSB+1KScxM4JJLILizqYVOr1XBzM29+gZubG9RqtSWXIwejF0XjneT6uUhEzTUqJgxKmQxpZZVIKalATBv+LDkrsaQQ1fMeg3bLCmObvM9QuH27zWnu1IuiiFP5xQC4YTa1HizXiGzLoh42b29vFBcXWysLtTDppZXGrx/t1V7CJNSSuSkV6F639Pn6xAyJ05CtaP9Zi4phASbFmstT8+D2xQanKdYAILO8CqWaWsgFAR38faSOQ2RbMvawEdmDRQVbVFQUMjL4Aau1OlNQAgDoHOCLtt4e0oahFm1Ce8PQsR+PX5Q4CVmbPisF5b0EqGeON2l3/e8quDz0CgSVq0TJbKO+d62Dvw8XHKFWg4uOENmWRQXb2LFj8eeff5pslk2tx9EcwyIR3BiWLDW1WxwA4HhuEdS1WonTkLXUbluNynExJm2KobfCdf4yKIdNcKqetXon80oAAF2DfCXNQWQPguXb+RKRGSz6L+3FF1+EQqHAyy+/bK081IIcqtsYtk8ol/Mny0T6eCDYwxVavWi8EUAtl74oH+rXp6H6uduMbbL2PeC+eB/cPl0N5Zh7pAtnY6fy6uavcSEmagUEDokksguLFh355JNPEB8fj48//hi///47brjhBsjljQ8BOX/+PABg6tSpJu2RkZGYN2+eJTFIIvX7r/Xh/mtkIUEQ0C8sEH8mpONAVj4GRHA59JZKFEVUPXA9xIwkY5v8htFw//JvCVPZz6n8EgDsYaPWhQUbkW1ZVLClpaVBr9djyJAhAICsrKwmj3V3d8eQIUOQnp5u0t5UgUeOLam4HGlllZALAnqzh42soH/bAPyZkI79mQVSR6FrIKqroE88haonbwLKS4ztyin/getzH0kXzI7SSitwNMdwI6sre9ioFRAEDokksgeLCraFCxdaKQa1NJuSDMX54MhgeKtcJE5DzqB/WCAAYH9WvsRJqLk0389Hzeevmja6qODx6wnIolrPCrJ/XcyECMNy/nHcnoJahbohkexgI7Ip3hqha3Kibp5Gv7AAiZOQs+gbZuipTS6pQF4l92xsKbR7/m5QrClvfwyeO0tbVbEGACmlFQCAoZHBTrmgClEDxh9zVmxEtsSCja5JfS9Ij2A/iZOQs/B1VaGDvzeAS/MjyXHpTu43LNf/1M3GNnnvIXD7cRdc53wNwUUlYTpppNYVbFE+nhInIbIP3pggsg8WbNRseZVq4wfq4dEhEqchZ9InxNBjuys9T+Ik1BSxtAiV0waiaur1Ju2u7y2H+/c7oOg5UKJk0qvvYYv2ZcFGrYRQPySSPWxEtmTRHLZ6x48fx6lTp5CVlQW1uumhTJGRkZg2bZo1LkkS+jvRMH+tV4gfQjzdJU5DzmR8+3AsO52EFedS8M6w3lLHoX+pWfopNB/NMmlzeeZduNw7E4Krm0SpHEdqaSUAIJo9bNRK1HewsZ+NyLYsKtgqKiowadIkbNmyBaIows/PD25uTb9px8XFsWBzAhsSMwEAY+LCJU5CzmZopKHHNqGoHNVaLVwVVrmnRFZQ8/NnJsWaEBIBj+XHIPhwWDQAVNVqkVVeBYA9bNSasFQjsgeLPg298sor2Lp1K7766itMmTLlisUaOY8DdfPXhkVxOCRZV4inG3xdXVBSXYNzBaXoyT3+HELNb19D88EM42PXtxZBOX7qFV7R+vx5wbBlTbSPJ/zdWt/8PWqdBOP/c0gkkS1ZNIdt48aNmDZtGh599FEWa61EtVaLpBLDPA1uDEvWZthA2zCPbXtqjsRpqHbNIpT3EqCZ/4SxTfXC/7FYa8TyM8kAgHu7xnIhBmo9ZJzDRmQPFhVsSUlJ6Nq1q7WyUAtwLKcIelGEn5sKwR4s0sn66ntu92RwPzap6DOTUTEmCtVzp5m0q+YsgPLOJ6UJ5cBEUcTuuoVyxrfjUHFqPbhxNpF9WDQkUqvVQi6XWysLtQB/JmQAMHyo5l1ksoW+oYYetn2Z+RBFkT9ndiaWFKLqiVEQc9IuNXp6w2PlecgCOAy6MVnlVcivqoZcELjVCbUqsvqNswH+viayIYtujQQFBSEzM9NaWagFWHEuBQAwuVO0pDnIeV0fHghPFwXSyyqxL5O9bPYi6nRQv3gnKoYFQExPNLa7fvArvHaWsli7giM5RQCATgE+cFNyoRxqPQTZpQJNz2GRRDZjUcE2evRorFu3Djqdzlp5yIFptDokFJUDAAZHBkuchpyVp4sSI6JDAYAFm53oEk+janI3aDf9Zmhw84Dbp2vgeUgL5ajJ0oZrAY7kGPal7M1FcqiVkckMHyMFiNCzXiOyGYsKto8++gh6vR7jxo3Dhg0bcO7cOaSlpTX5p6yszFq5SQLnC0uhF0V4q5QI9eT8NbKd6+oWHtmcnC1xEucmiiI0X81F1R1doU8+CwBQ3vkkPNenQjF0PAQOeTeLsWALZcFGrUt9B5sgsoeNyJYsGrsRFBSEOXPmYMqUKdi0aZNZx2dn8wNYS1Xf29E3NIDj1MmmJnWMwpztR7ExKRNavR4KGSe2W1vNkk+g+fg5kzbV85/A5b5npQnUgh3JZg8btU6yyxYdYcFGZDsWFWzLli3DlClTMHDgQNx7770IDw+/4vL+wcEcRteS1RdsN7QNlDgJObsO/j5QyWXQ6PRIL61ETBsvqSM5DX1BDmpXLEDN12+YtLt+/AeUwydKE6oFy6tUI6Nuw+yeXHCEWhlBVr8Dm8iCjciGLCrYPvroI9xwww3YsWMHe1xagcN1d5H7hvEuMtmWTBAQ4+uFc4WlSCgqY8FmJfqifFSOCjVpk/cbAbcvNkBQcLGMa3G0bsGR9n7e8FIpJU5DZF8yQYAOnMNGZGsWjTM6f/48xowZw2KtFSjX1OJEXjEAoE9IgMRpqDWoH162PjFD4iQtn1hbi+oPZqLy1rhLjR5e8NynhvuCzSzWLMAFR6g145BIIvuwqGBTq9Xw9fW1UhRyZK9uPwIACHBXIdzbXeI01Brc2zUGALD8dDI/CFhAl3QWFTf6ofbn/wGVhlVeBV9/ePyZBEHlKnG6lq9+5AEXHKHWSKhfJZKLjhDZlEUFm6+vL4qLi62VhRxYYrHhg16PID/2qJJdjI5tC3elArmV1bhQWCp1nBZHFEVU//d5VN3eGaiqMLa7vrccntsKIGvDnnJrOJRdAADowx42aoWMq0RyDhuRTVlUsA0aNAhHjhyxVhZyYEl1Bdvsgd0kTkKthVIuQ6+6RRwOZhVKnKZl0Rflo/b3Baj96WNjm+LGCfDcUwHlTXdJmMy5FFZVI7W0EgDQO5QLjlDrYzokUsIgRE7OooLt448/xr59+/Djjz9aKw85oBqdDkklhoItvo23xGmoNanfj+1gXS8GXZm+uADV8x5D5YggaOY/YWx3/e8quH2yCoKbh4TpnM+huuGQ8W284OuqkjgNkf3Vj7gRwCGRRLZk0Uzzt99+G97e3nj44Yfx4osvIioqCu7uTc9vio6OxuLFiy25JEngVF4JanR6tHF1QaQPP/CR/RgLtiwWbOaofv526I78Y3ws+AfD9YPfoOg9WMJUzmtvRh4A4HpudUKtVX3BJnJIJJEtWVSwxcbGQi6X44YbbjDr+KioKEsuRxLZmZ4LwPDhmfPXyJ7qC7ZjuUWo1emhlHMD7caImmrULHjTpFiTdesP9x92cQVIG9pbvzdleJDESYgkctlnAhZsRLZj0Tv5G2+8YaUY5Mh+OpkIABgZEyZxEmptDEPNXFBSXYNT+cXoxYUdTIiiCM07j6N2xTcm7fLrhsH1zYUs1mxIL4rYX1ewsYeNWjvuw0ZkW7xdTVdUWFVtXLb6ge5xVzmayLoEQUDfuuXS/ziXKnEaxyKKIqpfusukWJP3GwHPvVVw/2YrZKGREqZzfucKSlGqqYW7UoHuwW2kjkMkDc5hI7ILFmx0RQlFZQCAcC93BHm4SZyGWqM7OkYDAH4/y4INAESdDrqLp1D9n0nQbvrN0CiTwf2Ps3D7ehMEV/53ag/189euC/WHQsa3UmqlOCSSyC44Xoau6HR+CQCgvb+PtEGo1bopzjAUN7G4HDq9HvJW/OFYrChDxWDT/xaVEx+G6+vfSpSo9dpftxDO9eEcDknERUeIbMsqBdvhw4exa9cupKSkoLS06Q1uo6KiMHfuXGtckuzknzTDgiOco0FSifD2gEoug0anx/nCMnQO9JU6kt3pLp5C1eTG90BUvfCpfcMQAOBsQQkAoEcQ91+j1uyyHjYJUxA5O4sKNr1ej2nTpmHp0qXw8vJCcHAwLl68iI4dO8LPzw9arRZHjx5FbW0t+vbtC61Wa63cZCc70nIAAEMigyVOQq2VXCbDkMgQbErOwl+JGa2uYBM11Y0Wa6qXP4fylqncW00i9cPF2/lxb0pqxYxz2NjDRmRLFo0t+vbbb7FkyRIsWLAARUVF2LJlC0RRxIcffoidO3di7969yMrKwvjx4+Ht7Y2FCxdaKTbZw660XKSWVkIpk2EAl60mCdXfMDiRWyxxEvuq3fgrKq5vOCfN84geLnc9BcHDS4JUdKGwFLmV1VDIBHTgcHEiLjpCZGMWFWyLFi3ChAkT8PDDD0MmkzW6R5efnx+WLVuGQ4cO4ZtvvmnkLOSotqUaetcmdYyEl0opcRpqzToFGD4UH80tgtgKPhSI5SVQv/YAql+6y6Rd9eL/4LEpm/shSmxrSjYAYEhkCH83UuvGRUeI7MKigi0xMRG9evW66nHu7u6YMGECli1bZsnlyM6SissBAF0DuWQ1SWtgRBCUMhlO5hUbF8JxVmJ5KSpGhUK7drGxTdbtenhsyobLPc9AFhAiYToCDBu5A0C/uo3diVo7w6IjUqcgcl4WFWz5+fnw9zdvI9uYmBicOXPGksuRnZ0tLAEAxLbhsCuSVoinO/rU7cd2rrDphY1astrNK1DeS0DFEF9AUw0AkHW5Dh5/Z8Bj8V4Wag6kvmDrGcwFR6iVu2wfttYw+oFIKnZbH9vPzw/Fxa1r/klLVlhVjQOZhmWrB0Vw/hpJL67uxsEZJ+xh0507iupX7zNpc3l4DjyWHIAsqK1EqagxOr3eOJeyVwgLNmrlOCSSyC4sKtj8/PxQVlbWoL2xuyycc9GyHMstggggvo0XIn08pY5DZOzNWHIqSeIk1qXduR5V9/QGajQAACE4HB6rzkP11NsSJ6PGHMstglqrg49KabyJQNTaGVaJlDoFkfOyqGBr27YtLly4YHwcEGAYz99YT1pJSYnxeXJ8J/IM/4bdOeSHHMTU7nEADMupl2lqJE5jOV3CSZT3EqCeMc7Y5rExC54b0iGLai9hMrqS7XWLMQ2ODG7Vm7gTGdQNieTG2UQ2ZdG7za233oqVK1fi+PHjAACVSoW4uDhs2LChwbF///03OnbsaMnlyI7qh/x0D+KCI+QYgjzcEOzhCgAteuERfVE+ynsJqLqzu0m7ctIjkAWGSpSKzPVPWi4AYGgk5xQScUgkkX1YtHH2zJkzsXLlSvTu3RsPPvggvvvuO7z++ut44IEHkJqaiuuuuw56vR47d+7E0aNHsWnTJmvlJhsSRREHsgzz17qxYCMHMigiGCvOpWLl+TTc0ML2BtTuXA99egI0Hz7b4DmX6bPh8vQ79g9FzXY0x7DgyPVtAyVOQuQ4uA8bkW1ZVLAFBARg7969WLt2LWR1Q0OmTJmCkJAQfPXVV9i6dSvkcjni4+Px5Zdfon///lYJTbZ1OLsQZwpKoJLLMLRuw2IiR3Bv11isOJeK5aeT8f7wPi1mbqyo1ZoMfawn69oPHj/tlyARXYtitQbpZZUAeDOLCICxh03GOWxENmVRwQYAXl5euOeee0zaRo0ahVGjRll6apLIr2dTAACTOkbB391V2jBEl7k5ri0EAOlllcitVCPE013qSGbRvPukyWMhIg6KvsOgmv2FRInoWuzOyAMAtPPzho+ri8RpiBzAZfM49Xq9hEGInJvFBRs5n+N1ewwNi+J8GnIs7koF2vl540JRGU7kFjt8wVa7bRWqn5to0ua+eB/k3TjaoCXaUbfgCEceEBkI8ksfI/U6rYRJiJwbl7giE3pRxJGcQgBA92AO+SHHU/9zeTLfcfd11F08hYoxkQ2LteVHWay1YDvT6xYcieKCI0QAgMsKNlFbK2EQIufGgo1MnMwrRkGVBp4uCvQO8Zc6DlED3YMMW00cz3W8gk2fngjNwg9QNbkbxJx0Y7t88Dh4rE2CvENP6cKRRS7fMLtfGLeoIQIAyOXGL0Udh0QS2QqHRJKJI9mG3rXrQgOglLOeJ8dTv4H20bqeYEdRu2YRqudOM2kT/ILg9vFKyLr1h3DZBxtqeRKLy6HW6uCmkHPDbKJ67GEjsgsWbGTiUDaHQ5Jj6xtq6Pk9U1CKkmoNfF1VEicCqv/7PGp/+tikzX3FGchjO0mUiKztRJ6hd61LoC83zCaqJ7u8h41z2Ihshe86ZOKP86kAgFExYRInIWpcqJc7Ovr7QC+K2JSULWkWsbIc5b0Ek2JN1q0/3P63lsWak6lfjInL+RNd5vIhkXoWbES2woKNjMo1tcipUAMABnMVNHJg49qFAwDWX8yQ5PqiXg99cQE0n802aZcPuBkei/dBMbjhnmvUsh3IKgAA9A3l/DWieoIgQCcYPkrqdTqJ0xA5Lw6JJKP6DWF9VEp4q7jHEDmuYVEh+HjfaeOHaHsSy0tQMaRhL4vr3O+hvG263fOQ7YmiaPxZ69+WBRvR5XSCDHJRD2jZw0ZkK+xhI6Plp5MBAJE+nhInIbqyHnULj5wvLIW61n4fEnTnjzco1hSjJsPzYC2LNSeWUFSGkuoaqOQy4yqlRGSgr5vHxjlsRLZjlR622tpanDt3DikpKcjPz4erqytuv/12qFQq7N69G+Hh4YiKirLGpciGdmfkAQDGxYdLnIToytp6uSPcyx0Z5VXYkpKNW9pF2PR6+uw0VI5t+DtM9cL/QXnPMxAEwabXJ2ntzzT0rvUO9efquUT/oqtbhIcFG5HtWPzO8+uvv6Jdu3bo2bMnJkyYgIcffhhTpkzBjh07AACPPPIIYmNjMXXqVGjZXe6wRFHE3rqCbbyNP/wSWUoQBNwU1xYAsD8z36bX0nzxWoNizXX+UngdFeFy7wwWa63AgSzDz1j/sECJkxA5Hr1QX7BxDhuRrVhUsO3fvx/33HMPBgwYgAMHDqCwsBCpqakQRdFYnB09ehTff/89li9fjgULFlglNFnfX4mZUGt1UMgEdArwkToO0VV1DfQFYFje31aqnroZNd/NM2nzWJcM5Zh7bXZNcjz7OX+NqEkcEklkexYVbG+//Tb69OmDZcuWoU+fPmjTpg1k/9qfRqVSYdq0aZg4cSJ++ukni8KS7dQvWT0qJgxt3KTf14roanqFGPZj25CYidLqGqueW7tvM8p7CdDt+duk3XN3OWRh0Va9Fjm2aq0Wx3IMvx/Zw0bUkF6oW9qfBRuRzVhUsJ09exYjR44069gePXogOTnZksuRDaWUVAAArgvjHWRqGYZEBiPKxwNVtVocyrbeapGaBW9C/cQokzbl1OfhdVSE4M4FeVqbYzlFqNXrEejuimhf/vsT/ZuurodNW1srcRIi52VRwZaamorQ0FCzjvXy8kJBgf2X4Kar04sitqYYNiCOa+MlcRoi8wiCYNwT61hdD7Glapb9H2q+fsOkzX3pIbjO+tAq56eWp345/35hAZyvSNQImcKwft0ZK/0eJqKGLCrY9Ho95Jftcn/FC8m4spajyiyrwsXicsgFAbd1iJQ6DpHZetYt718/ZO1a6QtzUTEqFJoPnzVpV971NOSd+1h0bmrZ6leI7N+WwyGJGqNyMezbeiG/UOIkRM7LomX9ZTIZdGauCqTT6Xh30oGIoghBEKAXRXx95DwAwNfVhRtmU4vSM8RQsB29xju7ol6PiqF+QIXpwiXyXoPh8uTbUPQdanFGatn2G1eI5HBxosYolUoAQEpRKfSiCBk/6xFZnUUFW0REBLKyssw6Nj8/HxERXC7eEahrtej3w1okl1Sg8rJNhwvVGglTETVfj6BLG2jX6HRwMbPHX5+TDu0/f0Lz7lMNnlPe9yxcn//EqjmpZSqoqkZicTkAzu8laopLXQ9bTU0tXtpyCCq5HLP6d4a/u6vVrpFboUaAuwoyQUBBlQaBHk2fu0xTAxe5DK4KBUqqNVhw5ALOFZTi21sGQCGTQafXo0hdg0APV6SVViC9rBIDI4KbPF+RWoOFxy9iaFQwuga2wY7UHMT7eSO2bgpJQlEZCqqqUVClwQ3hgaioqYUAAa4KOZafSYafqwqhnm4YGRuGnIoq/HQyCVtTstE5wBcP9WwHd6UcAe6uEEWgWquDt0qJv5MysTcjH/3bBuDGqBAsOHIBgyKCIBMEpJRU4GxBKYI8XNE5wBefHDiNwRHBSCurxMrzaZg3tBfu7hKDBUfOI9rXEz2D/TBw0V/IrVBj8YTBcJHLkFxSgS6BvhgbH47S6hp8cegc8quq4aFU4KUB3XC2oAQP/rkbNTodugf74b3hfTB5xTYczy3GrP6dMTYuHFkVVRgeHQqFTEBqaSX+s+kgEkvKkVOhxptDekIpl0EviihUayATBNzXNda4WFi9U3nFeGfXCTzUsx0+PXAG6y5mIMBdhW/GDsDImDBkllfiy8Pn4efqgmk94rHiXCqqtTqo5HKMiW+LX8+kYH9mPpbcNgQrzqYir6oa0T6e+ON8Kh7sEY+S6hpcKCzD9eGB8HZR4qvD5xHv54U3hvSEvIWN/BNEURSv9cVjxoxBQUEBDhw4YOw9y8zMREREBNauXYuxY8cajx08eDA8PDywYcMGy1NfRUlJCebPn4+//voLBQUFqP8W/fz8MHToULzxxhsIDm76P04AOHz4MN58802cOnUKVVVVAAC5XI62bdvi0UcfxYMPPmj2cNB6ZWVl8PHxQWlpKby9va/tm7OCD/eewotbDjVo/7/R/TCjX2cJEhFdG1EU4f/xzyiursHPE4fg7i6xZr2ufLBvg1411UufweXup22Qklqq9RczMG75ZrT388b5JydJHYfIIVXe2R36hJMYP/gF7Ai69BnihvBAHM0pwg+3DEShWoOHerbD2YJSdAzwQV6lGusvZuKOTlFwUyiQV6lGsKcbnt14AN8fS8AD3eNwfdtA/HD8Ig5mNb3+wbP9OuPZfp1RVK2Bi1yGpzfsx/bUHLgrFXh5QDe8vuOo8dhQTzfMuK4TZm87AgDwc1Oh6LIb1bG+Xgj3dsfejHzU6vUI83JHqKcbDmc3PtQz0N0VIZ5uOJlXbOlfYavR1ssdmeVVUscAAKhfvh+uCov6razC3NrAoqSzZ8/GjTfeiPvuuw//+c9/EBMTY9x/Ta/Xo6qqCunp6fj888+xZ88ebNu2zZLLmUWn02HEiBG49dZbsX37dvj5+RmLydLSUixcuBADBw7EiRMn4O7u3ug5Dh8+jMmTJ+Pzzz/HiBEjoFKpjN9TQkICXnrpJZw7dw4fffSRzb8fW5hxXSfoRRH/pOVi/cUMxPh6Yt+D4xDk4SZ1NKJmEeru2n1+6BzWJWRctWDTF+WhcsS/btb4+MFrO+deUEPb6hZjGnSFu+9ErV7dKpFd/Tyx47LmvRmG4cT3rvoHAPDM3/sbvPSpDfsaPeWiE4lYdCLxqpf+9MAZfHrgTIP2qlqtSbEGANkVamOxBsCkWAOApJJyJJWUGx9nlVch6wrFRX5VNfKrqq+akS5xlGINAObtPIF5w3pLHcNsFvWwAcDChQsxe/Zs5OXlGdvq50fVCwgIwHvvvYcHH3zQkkuZ5ffff8fPP/+MFStWNHnMjBkzEBMTg1mzZjX6/C233ILHHnsM48ePb/T5yspKdO7cGQcOHLhqT93lHKWH7XLqWi0UMhmU8pbVNUxUb82FNEz4dSs6B/ji1GMTmpwrq923ucFy/QDgsTELskDzVrul1mXIor+wMz0Xi28djCnd46SOQ+SQKu+7Dvozh6B+fwVij1aZTLVoyaZ2i8PaixkNCjsAcFcqUGXm9/ntuAEo1dSgTFMLPzcVugT4olqnw/hftiC+jRcuFpfjiT4d0CPIDwezC5BVXoXYNl7wdFHgsV4d8Phfe7EnIw8Dw4PQJbANAtxVeKWu8LwxKgS3dYjEohMXcTSnCGPi2qJzoC9uiQ/HL2dSEOThCm+VEpHenugT6o+tKdnoHeKPdRczjAXtzH6d8HDP9gjxdMMr244gvawSGxIz0cHfGyvuGAaVXI6Jv21FtVaHYdGhiGvjBS8XJbLKq/DD8QRkV6jx4Yi+6BHsB4XMMGQ1ro0X8qrUSC6pwMf7TiOxuBy9QvwwMDwIrgo5XORyZJZXYmhkCD49cAYn6nop27i6YGBEEDr6++Cnk4lo6+WBTgE+uLNzNFJLKzGjruj/asz1WJuQgRnXdcKh7EJsSs7C7vQ8TOkWhx+PJ2DB2AE4U1CCTw+cwfvD+2BQRDA6BfhAqxdx5x/bUaTW4J+pY+DjKv26DebWBhYXbABQXV2Nc+fOISUlBaWll4YZeXl5ISYmBh07doSbm316b+bOnYvAwEA8/XTTQ5vWrFmDVatW4Ycffmj0+aioKJw+fRqenk3vuTNp0iQ8++yzGDJkiNnZHLFgI2rpcivUiPzsN9To9Dgw/ZYGc41EdRXUT46G7thuY5u83wi4ffQ7BC9fO6elliTwvz+joEqDww+NR+9Q/6u/gKgVqpx6PfQn98Pt0zVQDB1vnIaSX1WNpzfsx29nUwAAkd4eGB4dimqtDrV6Pebd2AvpZVXILK9EfBtv1Or1OJlXDKVcho7+PlhxLhWP9+6A748lYHrPdrhQWIrBkcE4mFWAKB9P+LkZ5oZ9feQ80koroZAJCHB3RVwbL4yLD4cIILm4HHF+3hBFEReKyuCpVGBPRj5GxISiVqdHsKcb1LVaFFfXQCETsC0lB5M7RxsXTtFodShUaxDm1XBEVkpJOdp6eSCvUg1/d5VDDK+jlscuQyLrubq6omfPnujZs6c1TmeRjIwMdO/e/YrHhIWFIS0trcnnS0tLr1ismXMOIrKPYE833BzXFmsupGNnWq6xYBP1emj/XITqN6abHO/6zhIox94nRVRqQTLKKlFQZZgs38GfN9iImiLIDR8lRZ2hx6l+lEOQhxt+GD8QL97QFX2bWLSnY4CvyeNh0aENvv5kdD8AQLegNgCAce1MF7B7ok/HxnMBiPPzNmbq4O8DAJjc2cPkODelAm5Kw/dwV5cYk+dUCnmjxRoARPsaFh1p6+3R6PNE1uR0twN0Ot1VFwNRKBTGuXbXypxzaDQaaDSXutLLysosuiYRNe6GtoFYcyEd+zINcyZEnQ6VN4dDLMgxHiP4BcFjQwaEuiWoia5kR6rhZ6d3iB88XPgzQ9SkujlsaGSbJ08XZZPFGhGZz6KJS8899xyef/55ZGZmWiuPU3n33Xfh4+Nj/MNtDYhs4/q6TY33ZeShds0iVPRVmBRrsviucF92mMUamW1HWi4AYGhUiMRJiBycsm4ekLpC2hxETsyigi0iIgLff/89YmNj8dBDD+HcuXPWymU158+fR2xsLC5cuHDN53jvvfdw6623Nvt1s2fPRmlpqfFPenr6NWcgoqb1DQvAHRn7cXrhXaieO83kOcXN98Djt5OQBYdLE45apAN1G2YPigiSOAmRY5PFdwMA6E4flDgJkfOyqGCbNWsW0tLS8Pbbb2PDhg3o0qULJk6ciH37Gl+mVQodOnRAUlIS2rdvf83nePnll7FmzZpmv06lUsHb29vkj6MQRRG6c0ehO7EPolYL3fG90CWdbfJ47aEd0BcZVgIVtVqIlZeWvtUe2w3d6UMQyy8tOCOKIsSyS3uTiHo9tHv+hlhaZHhcW2tyvNm5y0thhXVyIFaUQaytuebX6zOSoPnsFeiSz5nkEcuKIdYNlRW1WuP3Cxi+Z+3O9cbriqII7f4tDf7exdIiiOoqaP9ZC31mMnRnDqPqqTHQ/rMWoroS+sxk1Pz6FWp++xqar+ZCX5QHUVMNUW26XK4oitDu3mB4vrwEoroK+rwsiNVq6FPOQ3fhROPfW8p51P79C7T7NqFm6acQ9XrD+aoqDP+Ger3he/vXv59YWwN92kVoD+2AqNNBu28T9IW5hmv/6+9arNGg5vcF0B7cdulnQl1l/LkSa2shqitNXqM9tB01iz6EqDEsoyyWlxhfq3jvSfyw/+sG34vy7mfg+to3jX6fRE2p1elxtsDw812/OTsRNU7e5ToAgD7hpMRJiJyXxXPYvLy88OKLL+LZZ5/F4sWL8dFHH2HgwIEYPHgwXnrpJYwZM8YaOc1mztwyrVYLhYWr+VjjHFIRazSo6O9quwt4egMVdfP1lC6AmwdwWfEmi+4Afcp5wwNXdygnPGgoBv5cZDxGMfIOCIFhqP35f4bT3P4YRHUFtOuXGh5PmA55z4Go/Xs54KICykshluRDn3ypl1c+eBwEdy/ozx+9dL1G8/pA3r4HhPBY6FMvQH9iLyCKgFwOwT8EgoeXyXkvV/PDu9fyN9SAEBgG1NZA1KiBfxUq9dR7Gt90vuabt6ySoSmaj2ZB1uU66K1199S7jcnPQ7PzfPriVY9xX3EG8thO13wNat2O5BSiRqeHr6sLonyvvAAVUWsnizBseaE7uhO65HOQxzS+CIitiTod9ImnIWvXrcntXRp9nShCf/4YZPHdINR9rqvdvAKyyHaQtesGaKqhz0yGPM6wKbg+MxmChzfg5Qt96gXIQiMhuHmYnE8QBMPN3NIi6FMvoHbld1BOfR7y2E4Q9XoIsob9JfqU84CPPwTvNhDkcpMtskS9Htp1SwBXNyhHTTYeLwSHA67uQEUZxKJcCBHxgCBAu34pZJ36GK6n00G4wtoOok4HiCL0F09C1r4HABjz6Y7tgVheDPkNNxn/brSHtgPaWsivG248rz43A9DpoN2xBqjVQDnxEeiO/AN9YS4U/UdAn3QWsugOgF4PISwaglIJsVoNuKggyGSGG8zbV0MWFA6xvBj6pDOQRXVA7ZqFUAwcA8XNdxu+HjwOuoPbIO/WH2KNBtr1SyAfeiugqYbu0DbIewyEYtAY6IvyoHn/GcjaGTZ11ycch+rZDyH4BQHuXi3y84FVlvW/nF6vx6pVq/DBBx/gwIED6Nq1K15++WXcddddV10MxBreeOMNBAQEWLSsf3R0NE6dOuW0y/prfngPNZ/Nluz6RLYUe9ePyHh+ClQK2/++Ief00d5TeGHLIdzWIRIrJw+XOg6RQ9MXF6ByeKDxsfLOJyHmZkAx4UHIewwAKstR88vncJn8JPTJZ6HPTAIEAfK+w1C7YgF0Z49A3r47hLAYuNz9NMSCHGi+mAPtxl+gGD4JYnUVBC9fuM7+Arrks6iefQ8gihBzMwAAQkgElJOfRO2S/0Iszofg6w/3305B8AuCmJGEmj++gerBl6FLOgP1w0OBulEjACC0CYRYnG98rBj/gMnNY3PJ+40ARD30OWkQ06++4ffl15dFtTfZdsamPLyAy0ZINUUW0wn6jETgstExQkRcs743R6YYNwWuc793iHntdt2HrSnbt2/He++9h40bNyI6OhpvvfUW7r//fltdDgCwYsUKLFmyBCtXrmzymJkzZyI6OrrJjbPHjx+Phx9+GBMmTGj0+Za+cbaoqYZ65njo9m9u+KSrG1Ctts2FFUoIvv4mi0HYnNIFigE3G+76NEXlCtQNs7ucfPA4yPxDULvq+0ZfJr9hNHR7N1563H9k43+n9c/3HHjpl7JCYXjTuOyN43KK4RMh7z8KmnefbPJ8itF3QrvxV5M2wS8Iqhf+D9oNP0MIj4UsuiM07zze5DlsTT5wDPSp5yGL6QTd8T2Q9xgAMSPRpMdSCAiBWJTX4O9C8A2AWFJg/rUeeR1d1e2QrNZi4fhBeKBHvNW+D2pdHlm7G98dS8Drg3vgzaG9pI5D5PAq7+wBfULjw+yJHJHLw3OgeuptqWM4RsFWH+TZZ5/FwoUL4evri6Kioqu/yAI6nQ7XX389xo4dixkzZsDPz8/YpVxWVoZFixbh//7v/3D8+HF4eDS+d8bRo0cxadIkfP755xg5ciRUKhUAQ+9hUlISXnjhBcTGxuLjjz9uVjZHKdj+TXtoB8TyEigGjTXebRBra6Dd+CsUQ8Yb7j7pddCnJUAW1QGyqHbQZyYbhjpCAKrKIbSNadYQBH1eJqBQQsxMhj4/C4oh4yEoFIY5YZnJkA+8GWKx4cO6zC8Q+vxsCL7+EJQu0KddBDy8oN38O2RhMZAPMgy7FfOzoDu6C4pRkwFBgD75HGQxHQ1DE0qLIOr1kLWp26OrWg2xpACykEsrd4qiaLhrl34RQnicsav/8mEJQN0cM20tZP6NF+uiphraLSugGDYRULpAzEyGLKrd1f8dDm6D4OENwcvXOMTE5Lx1OfS5GRC8/SC4GfaGEUsKAQCCr2Ub++ozkwFXd4h5mZDFdILgemmze31OumH+WFEeXB5/A2JGIuT9R0IsyIYsLPpSRr0eYkkBtJtXQDF8ImQBja+wJ4oixMJcCO6eENyb7sm+0vcmiiK0W/6AvMt1kIVGAgDe/OcY3vjnGCZ1jMKKO4Zdy18DtXKiKKLrgtU4U1CCJRMG475uDf9bJCJToiiiZsGbqFnwptRRpNXEDWB7kcV1gT7xtHkHe/kC5SWGG8iXTSVSDJ8IWZd+qPnxXaCiDLJOveEy7SVUv3SXycuFwDCI+VkmbYrhE6HPSoH+3FHT9rqeSyGoreFzVn4WlFOfNxT5mmrojvxjeu6o9pB3ux7anWuB6ipAUw2hbQyUEx9GzeevGr7X7jdAf2IvhIh4KK4bhto/vjX9u4jtDME3ALoj/0DWoSdcHpsL/cVTqPnyNQCA57YCiz83WYPkBVtSUhI+++wz/PDDD6iursZdd92FF154Ad26dbPF5UyUlpbinXfewfr161FYWGhcFMLX1xdDhw7Fm2++iZAQwwfJ7du34+GHH8aRI0dM/qKOHj2KuXPn4tSpU6iqMizmIJPJ0LZtWzzyyCN46KGHmj3E01ELNiJnsSkpC6OXbURHfx+cfWKi1HGoBTqcXYC+36+FUiZD4lO3I8KHm+ISmUt7YCs0//cS9OkXDcUAYJhnLoqGuVZ1bcrbH4V260qIxflQ3vE45L2HQJ+RiJrv5gE1dfvXurrDY10K9AknIHj6QCzMgXbfJuPc9nqyjr0AvR6y6I5QDLjJsCBVSQHkPQdBCI2Ebtd61Kz8DmLqBShG3gHIFVC98Ckgioa5aLUa6FMvGOZFaaoNWZUuQGUZapZ8ArEoF/L+oyAEhEDeqQ+gdIF2/VIIQW0hv24YxPws1K5fCpfJT0DwNHy2EzXVhu+7tgaQKwCdFroTeyFv3wNwdUf1vMcgqNygGDEJQkAoIMggi+1kKJzkcuO8LlSrIbi5Q9RqoU89bxhC6RcEfXEBan//GrL4rlAOu83k78O4yJcgM847M+ap+//G5tBdjajXA7U1EFSmayCINRpApzWZx2dLoigCWq1FwxmbmkcoBckKth07duDTTz/Fn3/+CT8/Pzz++ON44oknEBoaevUXOzkWbES2lVJSjpjPV0AmCCh94V54csNjaqavDp/Dk3/tw+jYMPx972ip4xC1SGKNBmJ5SYORKGJJoaFguMLICqLWxNzawCrlZU1NDRYuXIhevXph+PDhSExMxDfffIO0tDS89dZbLNaIyC4ivD0Q5uUOvShi8QnnmBxN9nUoyzAM97rQAImTELVcgouq0WkDgq8/izWia2BRwZaXl4c33ngDERERmD59OiIiIrBp0yacOHEC06dPh6urDZeOJyL6F7lMhid6dwAAbEvNljgNtUSHsg1zZ/uGST+3gYiICLBwH7YJEybg1KlTePDBBzFjxgzEx3NVNiKS1tAow/zUnWm5DRaMIbqSqlotTueXAGAPGxEROQ6LCrZff/0VPj4+nI9FRA7jujB/uMhlyK2sxsXicrTz4+8nMs+xnCLoRBEhnm4I83KXOg4REREAC4dERkREsFgjIofiqlAYe0d2peVKnIZaEuNwyFB/9swSEZHDMLtg0+l0yMjIsGUWIiKrGBxpmOy+M50FG5nvYJahYONwSCIiciRmD4ns0KEDkpOTMWbMGKxduxYA8PrrryMlJcXsi0VHR+Ott95qdkgiouYYEhmM9/acxJ8J6aisqYUHl/cnMxzKNqwQ2TeMBRsRETkOswu28vJyiKKIyspKY1t6ejrS09PNv5jCoilzRERmGRkThjAvd2SVV2FPRj5GxYZJHYkcXJmmBucLSwEYhkQSERE5CrMrqFOnTuHcuXPo2bOnse3HH3+0RSYiIoso5TIMigjCr2dSsCs9lwUbXdWhrEKIACK9PRDk4SZ1HCIiIiOz57AFBgZi8ODB8PLysmUeIiKrGBPXFgCw6MRFiZNQS7A1xbBvX/38RyIiIkdh0SqRRESOamKHKABAamklitUaidOQozucY5i/NjiCBRsRETkWiwq2+fPnIyEhwaxjL1y4gPnz51tyOSIis/m4uiDaxxPApcUkiJpytqAEANA50FfSHERERP9mUcE2Z84cbNq0yaxjV61ahffff9+SyxERNcuNUSEAgL8SuSUJNa2kWoPUUsOCWp0DfCROQ0REZMpuQyJTUlIQExNjr8sREWFcu3AAwO9nU1Gt1UqchhzVwSxDD2xcGy/4u7tKnIaIiMiUXQq21NRULF26FCNGjLDH5YiIAAA3xbZFG1cXpJdVYv3FTKnjkIPakpIFAOjH/deIiMgBNWtjtISEBCxZsgSiKBrb/vzzT+Tk5DR6fFVVFdLT07F27VoEBQXh9ddftywtEVEzeKmUuK1DJH48fhHHc4swqWOU1JHIwVRrtVhw5AIAYGBEkMRpiIiIGmpWwXby5En89NNPJgXbgQMHcO7cuUaP9/DwQHR0NObMmYOZM2fC3d3dsrRERM3UO8QfPx6/iM3J2XhzaC+p45CDOZJdhJLqGihkAh7q2U7qOERERA00q2CbNGkSJk2aZHwsk8nw9ttv48knn7R6MCIia7i9YxSe+Xs/9mTkoUitgZ+bSupI5ED2ZOQBAG5pFwFXRbPeEomIiOzCojls3t7e8PHhilpE5LhCvdwR6+sFADjM5f3pX/Zm5gMAbmgbKHESIiKixll0OzEzMxMeHh7WykJEZBMDwgORVFKOTclZGBUbJnUcchCiKGJvXQ/bDeGcv0ZERI7Joh42FmtE1BLUL+//54V0iZOQI0krrUR2hRoKmYC+of5SxyEiImqU3fZhIyKSys1xbaGQCThXWIqLRWVSxyEHsTfT0LvWM9gPbkrOXyMiIsdkccGWn5+PGTNmoFevXmjTpg3kcnmTf9q14wpcRGR/vq4qDI4IBgD8ncT92Mhgb0bd/DUOhyQiIgdm0S3FvLw8dO7cGXq9Hvfffz/GjRuH+fPn4+mnn0aPHj2g1WqxefNmrFq1Co899hjGjx9vrdxERM0yKCIY21JzcCiLC4+QARccISKilsCigu21116DKIo4d+4cgoKCkJmZifnz5+Pmm2/G2LFjAQCPPfYYFi9ejBkzZuCVV16xSmgioua6PtzwoXztxXSoa7UcAtfKVWu1OJZTBAC4ngUbERE5MIuGRO7Zswf33nsvgoKuPJxk6tSpiIiIwAcffGDJ5YiIrtno2DBE+3iioEqD5aeTpY5DEjueW4xavR4B7ipE+3pKHYeIiKhJFhVsSUlJiI6ONuvYUaNGYcOGDZZcjojomilkMtzTJQbApaFw1Hrtr/sZ6B8WCEEQJE5DRETUNIsKNrVaDTc3N7OODQkJQUZGhiWXIyKySI9gPwDAsdwiiZOQ1PZnFgAA+nM4JBEROTiLCjaFQoHa2lqzjvXw8IBarbbkckREFqmfq3QkuxBlmhqJ05CUDmQZetj6hQVInISIiOjKLCrYgoODUVxcbHysUBgm8Wu12gbHarVayOVySy5HRGSRKF9PxPh6QieKOFDXw0KtT3Z5FS4WlwMArmPBRkREDs6igq1jx47YuXOn8XFQUBBUKlWjQx8zMzMRERFhyeWIiCzWN9TwAf1gNgu21uqboxcAAN2C2sDPTSVxGiIioiuzqGCbNm0atm3bhv/85z/IzMyEIAgYOnQoPvvsMyQlJRmPO378OBYtWoQbb7zR0rxERBYZEmnYQHvV+TSIoihxGpLC8bo5jA90j5M4CRER0dVZVLDdd999eO211/Dtt9/ijjvuAAB8+umn0Gg0aNeuHfz8/ODr64vevXsjODgY8+fPt0poIqJrdXvHKLjIZTiQVYAjOdxEuzVKKjEMh+zo7yNxEiIioquzeOfYN998E6+++iqqqqoAGIZJnj17Fhs2bEBycjLkcjni4+MxevRozmEjIsmFerljRHQo/krMxN6MfPQJ5Rym1qRcU4uzBaUAgA4s2IiIqAWwuGADABcXF7i4uBgfq1QqTJgwwRqnJiKyun5hAfgrMRP/pOXi6es6SR2H7GhrSjZqdHrEt/FCXBsvqeMQERFdlUVDIomIWqKx8eEAgPUXM1DdyKq25Lx2pecCAIZHh3LDbCIiahHsVrBduHCBc9iIyCH0DQtAuJc7Kmu1+Cc1V+o4ZEe70vMAAIMigiVOQkREZB67FWyrV6/GBx98YK/LERE1SSYIGBgRBAA4WrdiIDm/qlotDmcbFpoZVPfvT0RE5OjsVrBt374d7du3t9fliIiuqEewHwBg6akkLu/fShzMKkCtXo8wL3dE+3pKHYeIiMgsZi068vrrryMlJeWaLqDRaHD69GmcPXsWK1euvKZzEBFZ2wPd4zF/9wmczCvGzrRcDIkKkToS2djONMPw10ERQZy/RkRELYZZBVtaWhrS09Ov6QKurq4YMmQIfvjhB/Tr1++azkFEZG1hXu4YExeO386m4EBWAQu2VqB+wRHOXyMiopbErIJt4cKFNo5BRGR/nQMM+3CdzCuWOAnZmk6vx56MfACcv0ZERC0Ll/Unolbr+vBAAMCKc6morKmVOA3Z0sm8YpTX1MLLRYnuQW2kjkNERGQ2FmxE1GrdFNsWUT4eqKzVYntqjtRxyIbql/MfEB4IuYxvfURE1HLwXYuIWi1BEHBzXFsAwN9JWRKnIVvi/DUiImqpzJrDdjVnzpzBli1bkJKSgvz8fLi6umLevHkICgrChx9+iJCQENx2223w8vKyxuWIiKzmpti2WHDkAv5OzJQ6CtmIKIrYadwwm/PXiIioZbG4h+3pp59Gjx498Prrr2Pz5s1ISEjA999/j0OHDgEAjh07hunTp2PAgAHIy8uzODARkTUNjw6FXBBwoagMycXlUschG0gtrUBWeRUUMgH92gZKHYeIiKhZLCrYlixZgi+//BKff/458vPzcfz4cfz2228mm9AuXboUZ8+eRXZ2Nj799FNL8xIRWZWPqwtuqFt8ZEMSe9mcUf38tT6h/nBXWmVgCRERkd1YVLB98803uPXWW/HYY49BoTC8CTa2GWl8fDwmT56M1atXW3I5IiKbuKVdBABg9fk0iZOQLXD+GhERtWQWFWwJCQno1auXWcfGxMQgK4uT+onI8dwUGwYA2JScbTJCgJzDLs5fIyKiFsyigi03NxcBAQFmHevu7o6ysjJLLkdEZBOdAnwhFwToRRHfHr0gdRyyoiK1BqfzSwAAA8PZw0ZERC2PxYuONDYE0pLjiIjsTaWQI9DDFQCwO52LIzmTPRmGf8+O/j7Gf2MiIqKWxKKCzcXFBdXV1WYdW1NTAxcXF0suR0RkM5/f1B8AcDK/WOIkZE3LTiUBAAZHsneNiIhaJosKttjYWKSnp5t1bHZ2NmJiYiy5HBGRzVwXFgCZIOBoThFO5bFocwZlmhqsOJcKAHisd3uJ0xAREV0biwq23r1747fffkNlZeUVj6utrcWKFSvQp08fSy5HRGQzkT6euDmuLQDgL26i7RQOZRWiRqdHtI8neof4Sx2HiIjomli0Ic0777yDzp07o0ePHnjiiScQExOD2tpaCIKA48ePAwDS09PxzTffICcnB2+//bZVQhMR2cKwqBCsv5iBvRmcx+YMzhSUAAC6B7fhPGoiImqxLCrYoqKicOjQIbz88st4++23TVaBfPXVVwEAXl5eGDJkCH766SdER0dbFJaIyJauCzOsers/qwB6UYSMH/JbtP2Z+QCALgG+0gYhIiKygEUFGwB06tTJuCF2SUkJSktLjc95eXnBz8/P0ksQEdnFdWEB8HRRIKu8CrvT87hQRQsmiiL+TjLs/Vk/1JWIiKglsnhZ/8v5+voiKirK+IfFGhG1JO5KBSZ3igYALDpxUdowZJGcCjXyq6ohEwRjzykREVFLZNWCjYiopXugezwA4LezKdCLosRp6FrtSMsBAHTw94ab0uLBJERERJKxqGATm/Fh5uDBgzh48KAllyMisrmBEUFwkctQpqlFWmmF1HHoGq08nwYAmNQhSuIkRERElmlWwVZYWIhnnnkGXbt2hZubGxQKBSIiIjBu3Dj8888/jb6mqKgIjzzyCK6//nr8+OOPVglNRGQrCpkM7f28AQCHsgslTkPXal+GYcGRkTGhEichIiKyjNnjRAoKCtC1a1dotVpMmzYNcXFxcHFxQVZWFtasWYNhw4bht99+w6RJk4yv+fHHH/Hiiy9Cp9Ph66+/xsMPP2yTb4KIyJpGx7bFqfwS/Hj8Iu6om9NGLUdWeRXSyiohEwT05fw1IiJq4cwu2F577TVotVqcOXMGQUFBJs/NmTMHkyZNwtNPP41Jkybh9OnTePzxx7F7925MmTIFH330EQIDA60enojIFh7oHof/7j+NLclZyCqvQpiXu9SRqBnql/PvFuQLTxelxGmIiIgsY/aQyF27duHee+9tUKwBgCAImDlzJnJycnDPPfegZ8+eKCgowNatW7Fo0SIWa0TUonQLaoOewX7Q6PT47ugFqeNQM+2p2/j8+rZ87yEiopbP7IItISEBMTExTT4fFWWY2L1mzRq8+eabOH78OG688UaLAxIR2ZsgCHiyT0cAwIakTInTUHPo9HosPpkIABgaGSJxGiIiIsuZPSSypqYGKpWqyeddXFwAAAsXLsTkyZMtT0ZEJKGb4sIAAPszC1Ck1sDPrenff+Q4zhWWIq+yGh5KBecfEhGRU7D6PmweHh7WPiURkd1F+niic4Av9KKIjexlazHWXzT8W/UO8YdSzq1GiYio5eO7GRFRE25tHwEAWHoqSeIkZA5RFPFt3ZzDqd3jJE5DRERkHSzYiIiaMLluSN3OtFyIoihtGLqqzPIqJBSVQS4IuLNztNRxiIiIrKJZBZsgCFY5hoioJegW1AYquQylmlpsSOSwSEd3Jr8EABDv5wVvlYu0YYiIiKzE7EVHAODVV1/Fu+++2+hzWq0WADB16lS4ubk1ekx8fDy2bt3azIhERNJQymW4p0ssFp64iD/OpWJMfLjUkegKfjmTAgDoEthG2iBERERWZHbB9sMPPyA1NdWii0VGRlr0eiIiexvfPgILT1zEznTDsEiOInBcfyVmAAD+v707j4uq3v8H/hoWQVARFBmGfREDBDT3HZc0M9dccsm0r1r+vJlaabao1U3zXr2WpubVbpmYlUumZrYoZN1SUzBxAwSMHUFl2JeZ+fz+MOc6AsMiM2dmeD0fDx6PmfM558zrfOY4c96eOZ8zKzxQ4iRERERNp94F26xZswwYg4jINA3ydoOjrQ0Sbhbit4w89PXqIHUkqkGashjZxWWwkskw1M9d6jhERERNhoOOEBHp0c7BHsP979yT7e4ZHDI931y789708mgPB9sG/dqfiIjIpFlkwVZWVoY1a9aga9euUCgUkMvlkMvlCAoKwvTp05GcnFznOioqKvDGG28gMDBQu7xcLodCoUDv3r1x5MgRI2wJEZmCxzveGd5/0+9XUKFSS5yGavJ7Vj4AYJivQuIkRERETcsi/xty6tSpcHd3x5EjR6BQKLTXnJSUlGD//v0YPHgwTp06BYWi9i/2d999F0lJSThz5gxcXFy004UQuHjxIiZNmgRPT0906dLF0JtDRBJ7OjwAr8XEIqe4DL+k52KoH4sCUyKEwG8ZeQCACDcOOEJERJbF4s6wnT17FhkZGdi8eTM8PDx0BghwdHTEzJkzsWjRIqxdu1bveo4ePYo333xTp1gD7ty2ICwsDIsXL8aePXsMsg1EZFqsraww0NsNwP/O5JDpOJ2Zh6s3lXC0tcEgH7nUcYiIiJqUxRVs8fHxiIyMhJVV7Zs2bNgwxMfH613P9OnTERAQUGu7l5cX0tPTG52TiMxLT0V7AEDMnzkSJ6H7nbh+5z0ZEeCB9g72EqchIiJqWhZXsGVkZMDdXf8IYQqFAmlpaXrnWbhwIWxsav/F6MWLFxEYyKGjiZqLu9ex/ZiajeRbhRKnoXvdLaIH8+waERFZIIsr2NRqNaytrfXOY2Njo73Rd2OcOnUKmzZtqvNWBxUVFSgsLNT5IyLz1KmdEx7xU0AtBHbF1z1wERlHpVqN/2bcAABEsmAjIiILZBYFW1RUFNq2bav3LyoqyuA5ysrK8PLLL2P8+PHYtWsX/P399c6/Zs0aODk5af+8vLwMnpGIDOfJUD8AwA+p2RInobtOZeShtEoFVwd7hLq2lToOERFRkzOLgm3GjBkoKCjQ+zdjxowal1UqlQgMDERMTMwDZfj+++/RpUsX5ObmIi4uDpGRkXUus3z5ciiVSu0fr3kjMm93Bx45m52P8gc4S09N58hf918b4a/QGWSKiIjIUljksP73cnJywrVr1xq9/O3bt/Hcc88hMTER//nPf9CvX796L2tnZwc7O7tGvzYRmZYA59ZwdbBHXmk5YrNvoa9XB6kjNXuHEu9cjzw6iL9gICIiy2QWZ9gaoj7Xp6lUKr0DityVlJSEfv36oXPnzjh79myDijUisjwymQz9/irS7l43RdJJvKlEws1C2FjJMMLfQ+o4REREBmFxBZunpydycvQPu52VlQVvb2+981RVVWH8+PFYuXIl3njjjToHMiGi5qGf552CLfo6r2OT2pZzVwEAw/wUcLJvIXEaIiIiw7C4gi0sLAzR0dHQaDS1znP8+HGEhYXpXc+nn36KkJAQTJkypakjEpEZe7yjJwDgWHImEm8qJU7TvN29/9qcLh0lTkJERGQ4FlewdevWDT4+Ppg/fz4yMzMhhNC2lZaWIioqChs2bMCyZcv0rufcuXMYNWqUoeMSkZl5qH1bPBboCQHgy8vXpY7TbBVXVuFSXgEAoI8nryUkIiLLZXEFGwB89tln8PX1xahRo6BQKCCXyyGXyxEREYGjR48iOjoaCoVCO39CQgL8/f2RmJionXbr1i0sXrxYu2xNfwMHDpRi84hIYsP83AEAp7PyJE7SfJ3LvgmNEPBs7QBFawep4xARERmMTNx7CooMqrCwEE5OTlAqlWjTpo3UcYiokWKzb6LbR4cBABkLJ8GjjaPEiZqfRd+fxvtnrmBqqB8+Gz9I6jhEREQNVt/awCLPsBERGdLD7u3wsLwdACD4w4PShmmGKtVq7L6YAgB4KixA4jRERESGxYKNiKgR7g4+UlRZhUq1WuI0zcuRpAzkl1bAvVVLPOKvqHsBIiIiM8aCjYioEVYN7ALZX4/PZOZLmqW5iYpPBgDMDA+AjRW/xoiIyLLxm46IqBFkMpn253j7rl6XNkwzE5tzEwAwKtBL4iRERESGx4KNiKiRhv/1c7zfs25KnKT5uF1WgT+VJQCAIBcO3kRERJaPBRsRUSP19HAFAJzNzkdBeYXEaZqHHeeTAACK1g7o4GgvcRoiIiLDY8FGRNRIgc6tEdzeCZVqDdafuiR1nGZhz6U7o0NOC/WDTCarY24iIiLzx4KNiKiRZDIZXugRAgA4cT1H4jSW73pBEeJybgEAeipcJU5DRERkHCzYiIgewCAfNwBAXM5NlKtUEqexbL+k39A+vtvvRERElo4FGxHRA+jUzgmerR1QplIjmmfZDOpUZh4AYGGPYHRwbClxGiIiIuNgwUZE9ABkMhke73hnePnDSekSp7FsP6RkAQAifeQSJyEiIjIeFmxERA/o8Y6eAICDCWn8WaSBJN0qROKtQthYyTDE113qOEREREbDgo2I6AEN8XWHq4M9sovL8NFfw85T0zqceOfs5SBvOZzsW0ichoiIyHhYsBERPaCWtjZY3i8MABAVnyJxGsv0VcKfAIDRQV4SJyEiIjIuFmxERE1gaqgfrGQynMrMQ1ZRqdRxLMovabn4Jf0GZADGdGTBRkREzQsLNiKiJiBv5YDwDs4AgG2xCRKnsSx7LqUCAKaE+MHPubXEaYiIiIyLBRsRUROZHOILAFh/6hIKyiukDWMhKlRqfHQ+EQDwZKifxGmIiIiMjwUbEVETWdY3DIHOrVFSpcKPqdlSx7EIibcKUaHWoHULW4zh9WtERNQMsWAjImoiVjKZdlCMzy5y8JGmcD7nFgAgxNUJMplM4jRERETGx4KNiKgJzekSBAD4OjEdfxYUS5zG/H155c71a8N8FRInISIikgYLNiKiJhTi2hbD/NyhEQJbzl2VOo5ZyyoqxbHkTADA9DB/idMQERFJgwUbEVETe75HMABg54VrEEJInMZ8bfz9MlQagQFebghu31bqOERERJJgwUZE1MQe8VPAWiZDbkk5Mgp5T7bGOnA1DQDwQs9giZMQERFJhwUbEVETa2lrgy5yFwDAvqvXpQ1jpjIKS5B0qxAAMNTPXeI0RERE0mHBRkRkAPO63hl8ZOOZK/xZZCP853wSAGCAlxva2ttJnIaIiEg6LNiIiAzgqbAA2NtY47qyGJfzC6SOY1bUGg12/FWwPftwkMRpiIiIpMWCjYjIAFra2mCwjxwAsD0uUeI05uVYcibSC0vg0tIOTwT7SB2HiIhIUizYiIgMZEH3hwAAH/x+FbfLKiROYz6OJGUAAKaF+sHexkbiNERERNJiwUZEZCCjOnrhoXZOUAuB6D9zpI5jNs5k5QMABni7SZyEiIhIeizYiIgM6BF/BQDgh5QsiZOYh+RbhYjNuQkrmQz9PDtIHYeIiEhyLNiIiAzoEb87Bdv3LNjq5WhyJgAg0kcOjzaOEqchIiKSHgs2IiIDGuTjhhbWVkgpKMK+K9eljmPytsUmAAAeC/SQOAkREZFpYMFGRGRAbexa4KXenQEA7/xygfdk0yMqPhmX8gpgYyXDnC4czp+IiAhgwUZEZHAv9g5FSxtrnM+9hbicW1LHMVlfXE4FAHi3aQUn+xYSpyEiIjINLNiIiAzMpaUdhvi6AwDe+e8FidOYJiEEfk7LBQBsHNFT4jRERESmgwUbEZERPNetEwDgwNU/UVqlkjiN6Tlw9U8oK6rQwtoKvTxcpY5DRERkMliwEREZwahAT7g52gMANp65LHEa06LSaDBxfwwAYFqoP9o72EsbiIiIyISwYCMiMgKZ7H8DaSyPjkV+abnEiUzHc0d/0z5e1CtEwiRERESmhwUbEZGRPBHso3387bVMCZOYlo/OJ2kfR7i5SJiEiIjI9LBgIyIykq7ydmj71+iHG85ckjiNaahSa7SPl/cNkzAJERGRaWLBRkRkRD/PHAkAiMu5hdjsmxKnkd7G3+9cz2ctk2HVoC7ShiEiIjJBLNiIiIyocwdnjO/kDQAY/tn3zf5G2ocT0wEAg3zkaGFtLXEaIiIi08OCjYjIyJ7vEQwAuFlWgW+uZUicRjq3yyrwS/oNAMCOUX0lTkNERGSaWLARERlZ73vuM/bhuQQJk0jrYEIa1EIg1LUt/JxbSx2HiIjIJLFgIyIyspa2NnhveE8AwDfXMnAq44bEiYxPCIG3f/kDADAp2FfaMERERCaMBRsRkQRmhQciyKUNAGD96eY3YuSpzDykFhSjVQsbvNg7VOo4REREJosFGxGRBJzsW2DvE5EA7vw0MLe4TNpARlRapULfT44CAMYFeaNVC1uJExEREZkuFmxERBIJd3NBbw9XqDQCH/+RVPcCFuKziynax0+G+kmYhIiIyPSxYCMiktC8rkEAgO1xSdA0gyH+rxcUYe43v2qfjwjwkDANERGR6WPBRkQkoSmhfnCys0VKQRGOp2ZLHcfg9lxK1T7+/ZnHYWPFryEiIiJ9+E1JRCQhB1sbzAgLAAC89fN5iz/Lll5Yon3czb2dhEmIiIjMAws2IiKJze/WCdYyGX5Jv4Ev7jkDZWlulJRh61/3ndszfiBkMpnEiYiIiEwfCzYiIomFujrjpT53hrbfdPaKxGkMZ9nxcwCAFtZWGOHPa9eIiIjqgwUbEZEJWNwzFLZWVvgtIw9nMvOkjtPkTv6Zg08uXAMAbHusD5xb2kmciIiIyDywYCMiMgFurVpiSogvAGDON79a3LVsg3Yd0z6eFdFRwiRERETmhQUbEZGJWDWwCwAg/sZtrIiJkzZMExL3FJ8Tg30kTEJERGR+WLAREZmIAJc2GObnDgA4lpIpcZqm823y/7bl49H9JUxCRERkfliwERGZkC0j+wAA4nJuIbe4TOI0TeP9M5cBAIrWDmjVwlbiNEREROaFBRsRkQkJcG6NAOfW0AgB+XtfoLiySupID+RIUjq+T8kCAHw39RGJ0xAREZkfFmxERCbESibD9lF9tc83nL4sYZoHI4TAkh9+BwDM6OyPzh2cJU5ERERkfliwERGZmMG+7hgZcOc+Ze+duYwKlVriRI3zxeVUJN0qhIOtDbY+1kfqOERERGaJBRsRkQna+te1bLfKKrD6vxckTtNwybcKMfWrkwCACZ28ee0aERFRI7FgIyIyQT5tW+GLCYMAAOtOXUJOcanEiRrmya9+0j5+vkewhEmIiIjMGws2IiITNSnYF7082qO0SoW3fzafs2zbziXgbPZN7fOH3dtJmIaIiMi8sWAjIjJRMpkM7w7uBgD4MDYB/03PlThR/Tz37W/ax0VLp8PGil81REREjcVvUSIiExbp647h/gpohED/nd+itEoldSS9MgpLtI//9UgPXrtGRET0gFiwERGZuHXDemgff3rhmoRJ9CuprILXxr0AgIHebljcK1TiREREROaPBRsRkYkL6+CM9g52AID5354y2ZtpbzmXoH38ar9wCZMQERFZDhZsRERmIOapR7WPg7YckDBJzdKUxVh6/CyAO4OljPjrPnJERET0YFiwERGZgVBXZ0wO8QUAZBeXYcLeExBCSBvqL7fKKuCzaR8AwMnOFrvHDZQ4ERERkeVgwUZEZCb+83g/BDi3BgB8lZCG6Os5Eie6o98nR7WP1w/rAVtrfrUQERE1FX6rEhGZCccWtjg5c6T2+dDd3yHldpGEiYDzOTdx9aYSAKBo7YD/6xokaR4iIiJLw4KNiMiMKFo74OKzY7XP++88CrVGI0mWxJtKdPvoiPb54clDJclBRERkyViwERGZmVBXZ/w9siuAO9ezPbrnB1So1EbNUKlWY8qBn6ARAo62Nkj6fxPwsHs7o2YgIiJqDliwERGZoVf7heP5HsEAgB9Ts/G3Y6eM9trZRaXosv0QzufegqOtDU7OHIlAlzZGe30iIqLmxGILtrKyMqxZswZdu3aFQqGAXC6HXC5HUFAQpk+fjuTk5EavOycnB6GhocjJMY0L/omo+ZHJZNg4ohdG+CsAADvOJ+HbaxkGHzkyo7AEive/xJV8JWQA9owfxDNrREREBmSxBdvUqVORlpaGI0eOIDMzEzk5OcjJyUFcXBxGjBiBwYMHIysrq8HrraqqwpQpU5CUlITy8nIDJCciqr/DU4Yh6K+zW499/iNmHfrFYK+1/8p1eG3cq33+0eP9MDrIy2CvR0RERBZasJ09exYZGRnYvHkzPDw8IJPJtG2Ojo6YOXMmFi1ahLVr1zZ43a+88gqCg4MREhLSlJGJiBrF1toKP04fgaG+7gCAT+OTseXs1SYfiGT/leuYuD9G+3zlgAjM7tKxSV+DiIiIqrPIgi0+Ph6RkZGwsqp984YNG4b4+PgGrffLL7/EyZMn8d577z1gQiKipuPl5IgfZ4zAuE7eAIAFx07BdvWn2HUh+YF/IplbXIbfs/J1irVHAzywalDXB1ovERER1Y9FFmwZGRlwd3fXO49CoUBaWlq913n58mW8/PLL2Lt3L+zt7R80IhFRk3ulb5j2sQAw89DPcH/vC0Rfz25w4VapVmPPxRS4v/cFev7niE7bV5MGN0VcIiIiqgcbqQMYglqthrW1td55bGxsoFKp6rW+wsJCTJw4EVu3boWvr2+9c1RUVKCiokJnPUREhtLLwxUnZozA14lpeP/MFQBAbkk5hkR9h7FBXnh3SDc81L6t3nUIIZBaUIxxe08g/sZtnbZdYwdgRliAoeITERFRDczmDFtUVBTatm2r9y8qKqrJX1cIgdmzZ2PSpEl47LHHGrTsmjVr4OTkpP3z8uLF+URkWIN93fHe8F6oXD4Twe2dtNO/TkxH8IcH0eYfu/Hl5VTkl1YfNCkqPhlW7+xEwOb9OsVaf68OyHxhMos1IiIiCZjNGbYZM2ZgxowZjVpWqVSiW7du2LFjByIjIxu07Lp161BcXIwVK1Y0+HWXL1+OJUuWaJ8XFhayaCMio7C1tsLl58bjnV/+wOsxcdrpRZVVmHLgJ+3zgd5uOJmWW+M6Qtq3xT+HdcejAR6wumfwJiIiIjIesynYHoSTkxOuXbvW4OWio6OxZcsW/P7773X+xLImdnZ2sLOza/ByRERN5bX+ERgZ4IluHx2usb2mYk0GYE7XIGwd2RvWegZvIiIiIsOzyIKtPtenqVQq2NjUvvkZGRmYOXMm9u3bh/bt2zd1RCIio3nYvR3E67Pwn/NJ6OBoj9jsm/hTWYKoi8moVP9v+P8Znf2xcUQvOLfkfzQRERGZCoss2Dw9PXHx4kW982RlZcHb27vW9p07d0KpVGLs2LE1tufl5aFHjx5YvHgxXn311QfKS0RkDM/8dd+0xzve+Wn2jsf76tynkoiIiEyPRRZsYWFh2LRpEzQaTa33Yjt+/DjCwsJqbAOA1157Da+99lqt7b6+vjh//jzatm37oHGJiCTBYo2IiMj0WeTFCd26dYOPjw/mz5+PzMxMnfsPlZaWIioqChs2bMCyZcskTElERERERKSfRRZsAPDZZ5/B19cXo0aNgkKhgFwuh1wuR0REBI4ePYro6GgoFArt/AkJCfD390diYmK91u/q6gpbW1tDxSciIiIiIoJM3Hv6iQyqsLAQTk5OUCqVaNOmjdRxiIiIiIhIIvWtDSz2DBsREREREZG5Y8FGRERERERkoliwERERERERmSgWbERERERERCaKBRsREREREZGJYsFGRERERERkoliwERERERERmSgWbERERERERCaKBRsREREREZGJYsFGRERERERkoliwERERERERmSgWbERERERERCaKBRsREREREZGJYsFGRERERERkoliwERERERERmSgbqQM0J0IIAEBhYaHESYiIiIiISEp3a4K7NUJtWLAZUVFREQDAy8tL4iRERERERGQKioqK4OTkVGu7TNRV0lGT0Wg0yMrKQuvWrSGTySTNUlhYCC8vL6Snp6NNmzaSZrFE7F/DYv8aFvvXsNi/hsX+NSz2r+Gxjw3LlPpXCIGioiIoFApYWdV+pRrPsBmRlZUVPD09pY6ho02bNpLvrJaM/WtY7F/DYv8aFvvXsNi/hsX+NTz2sWGZSv/qO7N2FwcdISIiIiIiMlEs2IiIiIiIiEwUC7Zmys7ODitXroSdnZ3UUSwS+9ew2L+Gxf41LPavYbF/DYv9a3jsY8Myx/7loCNEREREREQmimfYiIiIiIiITBQLNiIiIiIiIhPFgo2IiIiIiMhEsWAjIiIiIiIyUSzYmpGCggIsXboUYWFhcHd3h1wuh1wuR0hICObPn4/c3FypI5qMqKgodOnSRaef3N3dERISgn/9619QqVTaeQcNGgRXV1ftfDX9vfLKKzrrLysrw5o1a9C1a1coFArtfEFBQZg+fTqSk5ONvclGc+LECTg4OOjtLy8vL2RlZWmXOXfuHMaMGQN/f3/tPB4eHujZsyd27NgBtVpd7XWSkpIwbdo0dOzYUbuMQqHAww8/jLVr16KiosKYm21UMTExevvX0dERO3fuRFJSElq2bKl3Xnd3d5w7d05n/c2xb4uLizFq1Chs375dZ7qx9s3s7Gw8++yzCA4O1n4uubu7Izw8HK+88goKCwsNtu3GUlMfFxQU4G9/+xv8/Px09ktPT08MGTIEv/76q846uE/Xrqb+ffrpp+Hi4qK3v6ZPn66zHpVKhX//+9/o0aMHPDw8tPP5+/tj7NixOH/+fLXXFkJg37596N+/P7y9vbXL+Pj44JFHHkFMTIyBt9547u/n+fPn1/l5fHf/WrlyJZycnPTOP3DgQJ3Xs9S+bchxGAAcP34cw4YNg6+vr86xxIABA3DgwAHUNMaiWR1bCGoWVCqVePjhh8WqVatEfn6+0Gg02raCggLx3nvviYCAAFFSUiJhStMQHR0tQkNDRUJCQrW2nJwcMXr0aLFx40bttIiICJGamtqg1xg7dqx47rnnREZGhs57UVxcLHbu3Cm8vLxEZmZmo7fBlH311Vfi6aefrvf8Z8+eFX5+fuKbb74R5eXl2ulqtVpcvXpVjB07Vrz44os6y6SnpwsvLy+xe/dunX1ao9GItLQ0MXfuXPHEE0888LaYqyVLlohdu3aJuLg4MWjQoAYt2xz7VqlUiv79+wsfHx+xYcMG7XRj7ZtFRUXC399fbNq0SRQWFuosc+PGDfH666+LHj16CLVa3cRbbjy19fGsWbPEokWLRHFxsc78arVa/Pzzz8LX11fns5L7dM1q69+xY8eK6OjoBq3rhRdeEBMmTBBJSUk6+1xZWZk4dOiQ8PX1FXFxcTrLbNiwQQwaNEicP39eqFQq7fSKigoRExMjQkNDxaFDhxqzaSaltn7Wx83NTXsc8MILL4iPP/64Qa9piX3b0OOwr776SoSFhYmff/5ZVFZWaqdXVVWJc+fOif79+4tNmzbprMfcji1YsDUTe/fuFRMmTNA7z/PPPy/+9a9/GSmR6Vq6dKn48MMPa22/evWq6Nmzp/Z5Qwu233//XXTr1k3vwdX69evFwoUL671Oc9LQgm3UqFF6v2yKi4uFt7e3yMnJ0U5bsGCBzof5/dRqtYiIiBCxsbH1zmFJJk6cKKKjoxt1cNvc+ra0tFT06tVLvPnmm2LlypU6B2HG2jf/+c9/iiVLlujNOXr0aHHgwIF6bJHp0dfHcrlclJaW1rrsK6+8IrZs2aJ9zn26On3929CCLSsrS/j4+Oh9T/bv3y/GjBmjfV5VVSXc3d1FdnZ2rcucO3dORERE1DuHKdLXz7UpLCwUfn5+2ucNLdgstW8behwWGhoq/vjjj1rnz8jIEAqFQqegNbdjC/4kspmIj4/H4MGD9c4zbNgwxMfHGymR6erTpw8eeeSRWtu9vLyQnp7e6PXHx8cjMjISVla1//Pje/E/de27jo6O6NatGxISEuq9jJWVFYYMGdIs+7ikpASnT59G3759G7V8c+tbIQSWLFmCFStWVGsz1r5p6Z/f+vp46dKlaNmyZa3LPujnMWD5+7S+/m2oq1evonv37nrfk6FDh+r0VXp6uvan/7V5+OGHkZ2dXe1nbuakMf389ddfY/jw4Y1+TUvt24Ych1VVVSE/Px/h4eG1zu/h4QE3NzdkZmZqp5nbsQULtmYiIyMD7u7ueudRKBRIS0szUiLTNW7cOPj7+9fafvHiRQQGBjZ6/XwvGkapVKJVq1Z657m/v9jHNdNoNPjb3/6G5557Di1atGjUOppb3zo4OGDy5Mk1thlr37T0PtfXx4sXL9a77IN+HgPNu38bqj595eTkhFu3bjVoGQBwdXVFTk7OA2eUSkP7OTMzE6tWrcKLL77Y6Ne01L5tyHFYTk4OXF1d61zn/f+Gze3YggVbM6FWq2Ftba13HhsbG7P6HxgpZGZm4tlnn8XChQt1pu/YsQMDBw6Ej48P3Nzc4ObmBl9fXwwbNgzfffedzrx8L4CUlBTMnTsXoaGhOhcUh4eH48UXX9T5sq+P+/uLfVxdaWkpJk2ahMrKSixdulQ7PS8vD4sXL0Z4eLjOADghISGYM2cOMjIydNbDvm2Yptg32ec1O3ToEI4dO4bx48frTOc+3TBfffUVhg8fDn9/f7i5uWkHa+jfvz/27NmjM1hDffrqfvVdxpL7+H6xsbGIjIzE2rVr0bFjR522mJgYjB07Fh07dtS+H3cHwti8eXODPxsAy+rb+4/DDNkHpvRZzIKNqB6EEPjkk0/QpUsXzJo1CxMnTtS2RURE4M8//8TGjRtx+fJl5ObmIjc3F4mJiXj77bfxwgsvVBvJrDnz9fWFUqlEnz59cPz4cWRmZiInJwfZ2dk4ceIEWrZsialTp9Y4ohM1Tl5eHoYOHYrw8HBERUXBxsYGANChQwdYW1vD09MTR48eRVpaGnJycpCTk4PffvsNXbt2xciRI1FVVSXxFhD9z+3btzFr1iwsXrwYBw8ehLOzs7aN+3TDhISE4Pr161i1ahXOnz+P3Nxc5OTkIDU1FVu2bMHGjRvx+eefSx3Tohw7dgyTJ0/G7t278cQTT+i0derUCWlpaViwYAHOnDmj3XfT0tKwZ88eHDt2DP/85z8lSi4tfcdhzQELtmYqISEB/v7+SExMlDqKyUtMTMTw4cOxbds2fPfdd3jhhRd02nfu3Ildu3ahS5cucHR01E5v0aIF+vTpg3feeQdbt26tdf1KpRKBgYFmO/RuQ3Xp0gV//PEHnnnmGcjlcu21fDKZDO3bt8fbb7+NrKwspKSk1Lj8u+++izFjxjToNaOiotC1a9cHzm6OhBB46qmnMGvWLKxcuRIymUzbplAocOHCBbz44ovw9PTUFnLAnZ81LViwAL6+vjh58mSt62/OfXs/Y+2bMTExCAwMtIih/BtCCIHPP/8cERERcHZ2RmxsbLXrVrhPN8zq1avx9ddfo2/fvmjTpo12uo2NDcLDw/HBBx9gy5YtetfRtWtX7N69u0GvO2bMGLz77ruNymzOUlNTMX/+fPz444/o2bNntfb58+fjxIkTGD58OJydnbWf19bW1ggICMDHH3+s93gCsMy+res47H4LFizAggULGvQapn5sYVP3LGSJOnXqVOsBMd2hVqvxzjvvYMeOHXjrrbcwc+ZMvQOF1CY4OBjr16+vtd3JyQnXrl17kKgWRSaTITg4GMnJyQgICKjWfv897epjxowZmDFjRlPEMzvff/891Go15s2b16jl774XQ4cOrbG9Offt/Yy1b0ZGRja7z4z09HTMmjULQgh8++23CA0NbfS6uE/X392+0icuLq7B6z106FBjI5m1V199FX//+9/h6+vbqOXbt2+PyspKlJeXw97evsZ5LKlvG3sctnnz5ga/lqkfW7Bgaybq85talUql87+RzVlxcTGmTZsGGxsbXLhwAW3btm30uhwcHFBaWqp9zveibvf3WV3u7y/28f8cPHgQs2fP1jmz1hDcfx9MU+ybzb3Pz5w5gylTpmD58uWYO3duo/flu7hP119j+up+9V3G0vtYpVLhxIkT+PTTTx9oPfb29tqCzZL7tr7HYYbsA1P6LOZPIpsJT0/POkcIysrKgre3t5ESmbaXXnoJnp6e2L9/v95irbCwEG+88YbedZWVlekMgdzc34uPPvqoziFv7+2ztm3bori4WO/89/dXc+/je506dQp9+vSpse3w4cM4fvy43uW5/9bOWPtmc+7zgoICTJgwAbt27cK8efPqLNa4TzfMokWL9LY3pq8KCwvh4uLSoGWAO9fa6hue3txdunQJDz30EGxtbWudZ9myZaioqNC7noqKCu3ZNUvu2/oeh8nlcuTn59e5vvv/DZvbsQULtmYiLCyszi+x48ePIywszEiJTFdSUhKOHTuG9evX13lwYGdnh3//+996B8hITEzUGZ42LCwM0dHR0Gg0tS5jye/F9evX9V6vJ4TQ6bO69t2SkhKcO3cOnTp10k6raxmNRoPo6GiL7eN7ZWZmwsPDo8a2Gzdu4OjRo3qXr2n/Zd/eYax9szl/fq9fvx7Tpk1D//796zU/9+mG2b9/v95rIe/vq4ceeghnz57V+wuI+/dFT09PZGdnIzs7u9Zl4uLiIJfLze4sUEPo+yy+69dff9U7tsDt27dhY2OjU7BZYt825DjMxsYGrq6uOH/+fK3zZGVlITc3V6f/ze7YoslvxU0mSaVSie7du4sVK1aI/Px8odFotG1KpVJs3LhRBAQEiOLiYglTmoYvvvhCzJo1q97zjx49Wrz22muipKREZ7pGoxEXLlwQYWFhIjo6Wqdt/PjxYt68eSIjI0PnvSgpKRG7du0SXl5eIjMz84G2w1SdOXNGBAYGiri4OJ1tF0KI0tJSsWbNGhEZGalti42NFb6+vuLIkSOivLxcO69arRZJSUli3LhxYsmSJTrrycjIEF5eXiIqKkrnfdFoNCIjI0PMnTtXTJgwwYBbaTqcnJxqbbt+/brw8vISMTEx1d6LyspKsXPnThEcHKzT7825b1euXCk2bNigfW6sfbO4uFj4+/uLjRs3isLCQp1l8vPzxRtvvCG6d+8u1Gp1E2+x8d3fxyNHjhQxMTH1Xp77tH739+/zzz8vZs+eLW7duqUzn0ajESkpKSIyMlJ88sknOm2LFy8W48aNE0lJSTr7XHl5uTh8+LDw9fUVsbGxOsu8//77YsCAAeL8+fNCpVJpp1dWVoqTJ0+K0NBQcejQoSbcUmnd389C3Dm2mDNnjt7l1q9fLx577LEav/9zcnLEpEmTxKpVq3SmW2LfNvQ47OuvvxadO3cWP//8s6isrNROV6lUIi4uTvTv319s3LhRZxlzO7ZgwdaMFBQUiJdfflmEhoYKuVwu3NzchJubm+jUqZOYN2+eyM7OljqiSdiyZYtwdHTU9k9Nf56entoP1Ly8PDF//nzh4+OjM4+7u7vo2bOnOHDgQLXXKCsrE6tXrxYRERE670VgYKCYOnWquHbtmrE326gOHjwoevXqJdzd3XX6zM/PTzz77LMiNzdXZ/7Y2FgxevRo4efnp9O/3bt3F9u2bdP5krorKSlJPPnkkyIwMFC7jFwuFxEREWLNmjWirKzMWJsrqc6dO+ttP3nypBg8eLBQKBQ674WPj4948sknRUpKSrVlmmvfrl+/XuzYsUNnmrH2zezsbDFv3jzRqVMn7WeGXC4XoaGhYunSpUKpVBpsu43p/j7u1auXaN++vd7P42nTpumsg/t07e7v35KSErF8+XLh7+9f7fsrIiJCbN++vVrhq1KpxLZt20T37t11PsP9/PzE6NGjqxVrQtw5oN27d6/o27ev8PDw0C7j7e0thg4dKk6cOGHwbTemmj4rDhw4IF5//XW9y6lUKrF27Vqdf+d398Xg4GCxdu1aUVFRobOMJfZtQ4/DhBDi+PHjYujQocLb21tnnn79+ol9+/ZV24+FMK9jC5kQvNkRERERERGRKeI1bERERERERCaKBRsREREREZGJYsFGRERERERkoliwERERERERmSgWbERERERERCaKBRsREREREZGJYsFGRERERERkoliwERERERERmSgWbERERGamqqoK5eXlkmYQQqC4uFjSDEREzQELNiIiMjm7d++GTCZr8N/q1au165g9ezbs7Oxw9OhRCbekae3cuROhoaFwcHDAE088IWmW7du3o3Xr1vDx8cHixYtRUVEhaR4iIktlI3UAIiKi+w0ZMgQffPABhBA60/Py8vDWW29h4cKF6NixY7Xlhg8frn38008/obKyEmfPnsVjjz1m8MyG9vbbb2PFihV46qmnsHDhQgwZMkTSPE8++SRatWqFCxcuYNOmTYiNjUVMTAxkMpmkuYiILI1M3P9tSEREZKKuXbuGjh07Ijo6GpGRkXrnfeutt7B//35s27YNvXv3Nk5AA1EqlfDy8sLf//53LFy4UOo41fzxxx/o2rUrjh8/jsGDB0sdh4jIovAnkUREZJFWrFiBP/74w+yLNQA4fPgwbGxsMHfuXKmj1CgiIgKPPvoodu/eLXUUIiKLw4KNiIjIxKWnp6Nz585o2bKl1FFq1a1bN2RkZEgdg4jI4rBgIyIii/Tjjz8iICAAGo2mWltgYCC+++47fPrpp4iIiIC9vT1kMhnatWuHcePG4dq1awCAY8eOoW/fvmjdujVkMhmcnJzQo0cPfP7557W+rhACBw8eRGRkJDw9PbUDotja2iIoKAgTJ07ElStXGrQtWVlZcHV1rbX9hx9+gL+/PzQaDb755huMGTMGcrkc1tbWsLOzQ3BwMKZPn47U1NRa17F7925ERESgZcuW1QZzcXNzw7Rp05CVlVXr8q6urnrbiYiocTjoCBERWaSMjAykpKRAo9HAykr3/yeTk5OxevVqxMfHY9q0aXjqqafQokULpKWl4ZNPPsGgQYPw4YcfYvz48RgzZgweffRRODs7o6CgAEePHsXUqVOhUqkwY8aMaq/71ltvYdWqVRg0aBCefvppuLm5wcrKClVVVcjMzMThw4cRERGB48ePY8CAAfXalqKiIrRq1arW9szMTKSmpmL58uXYsGEDHn30UcyePRsdOnSARqNBRkYG9u3bh5CQEJw9exahoaE6y//000+YMWMGxo8fj6eeegr29vbaNiEErl69in379mHq1Kn46aefaszQunVrFBYW1mt7iIio/liwERFRsxQfH48rV67Azc1NZ/qcOXMQEhKCcePG4aOPPsKsWbN02l999VUMGjQI69atq1awZWVl4d1338VLL72Ef/zjHzWOmLh69WoMGzYML730Ek6fPl3vvPUZffGbb75BSkoKPD09q7W988476NGjB5YtW4YjR47otEVFRSE8PBz79++v9XWGDBmCiRMnIjMzEx4eHo3KR0REDcefRBIRUbN09+zX/R566CH06NED7dq1w8yZM6u1W1tbY/r06bh06VK1n1uePn0a5eXlePnll2stYFq0aIGFCxfizJkzKCgoaJJtueuDDz6osVgDAAcHB8yfPx8xMTHVbpeQnp6OoKAgvUXXqFGjsHTpUrRp06ZJMxMRkX4s2IiIqFny8/Ortc3T0xO+vr7Vfkp5b7tKpUJeXp7O9OvXr8PR0REdOnTQ+9r+/v4AgD///LOBqfXr06eP3nYfHx+UlJQgPz9fZ7qLi0udxaO9vT3Wrl2L1q1bP2hMIiJqAP4kkoiImiUHB4da21q2bFlnOwCUlZXpTFcqlWjVqlWdoyVWVFQAQLWC70FZW1vrbb9bbCmVSp1BTAYMGIDnn38eu3fvRu/evWFnZ6eznIuLi97+ICIiw2HBRkRE1IRyc3Ph5eVVr3nvHdxDSnPmzMGJEydqHETlrqCgIKxfvx6PP/64EZMRERELNiIioibk4uKCnTt31jmfvb29ydzU29bWFnv37kVqaiqSk5NRXl6ubRNCQKlUYvfu3Zg0aRISEhLg7e0tYVoiouaFBRsREVETuXu/NnM9C+Xn51frtX3jx4+Hi4sLfvjhB/zf//2fkZMRETVfHHSEiIioifj5+eHmzZsoLS3VO192djZ8fHyQkpJipGT6bd26Ve9NtQHA0dERLi4uyMnJMVIqIiICWLARERE1mZ49e8LOzg6bN2/WO9+2bdtw48YNyOVyIyXTb926dXj//ff1znP79m3k5+fXetsAIiIyDP4kkoiIqIl4enpi2bJlWLp0KaKjo7X3c7OysoJarYZSqcTp06dx9OhRvPrqq/UeedHGxqbaiJRNafLkyVi3bh3y8vLQpUsX7SiYwJ1r2IqKirB//344Ojpi5MiRNa6jqqoKNjY8rCAiamr8ZCUiIrPRrl07KBQKuLu71zmvh4cH/Pz8aryXWkBAADw8PGpd1sfHR2/xIZfL0aFDB7Rt27Za26pVqxAeHo6NGzdix44dyMrKAgBYWVnB1dUVQUFB+Pjjj/H000/XuQ33vt6ZM2dqbVcoFLVu6706dOiADh06wMXFRWf6m2++CQDYs2cPvvjiC6jVap12Z2dnhIeH49ixY7XeY+7GjRv1el+IiKhhZEIIIXUIIiIiqt3WrVuxbt06XLt2DTKZTOo4NXrmmWdQWlqKzz//XOooREQWhdewERERmbjBgwcjNTUVP/74o9RRanT79m18+eWXGDJkiNRRiIgsDs+wERERmYHJkyfj2LFjePvtt9G7d2907twZjo6OkuXRaDS4dOkSrly5gjfeeANFRUVISUkxmZuBExFZCp5hIyIiMgMff/wxpk6dikWLFqF3796YNGmSpHm2b9+O8PBwTJkyBe3atcMvv/zCYo2IyAB4ho2IiMiMlJSUICEhAW3atEFgYKBkOQoLC3HhwgV06tQJrq6ukuUgIrJ0LNiIiIiIiIhMFH8SSUREREREZKJYsBEREREREZkoFmxEREREREQmigUbERERERGRiWLBRkREREREZKJYsBEREREREZkoFmxEREREREQmigUbERERERGRiWLBRkREREREZKL+P25ZgbNXXvf5AAAAAElFTkSuQmCC",
      "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": "26f197fe",
   "metadata": {
    "title": "CLEANUP"
   },
   "source": [
    "As expected, we see a sine and sawtooth that are independently sequenced on the outputs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44fd606a",
   "metadata": {},
   "source": [
    "Stop\n",
    "----\n",
    "\n",
    "Finally, let's close the instrument connection. One can also display a detailed snapshot containing the instrument parameters before\n",
    "closing the connection by uncommenting the corresponding lines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2d18c5bb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:50:39.881118Z",
     "iopub.status.busy": "2024-09-18T14:50:39.880936Z",
     "iopub.status.idle": "2024-09-18T14:50:46.998343Z",
     "shell.execute_reply": "2024-09-18T14:50:46.997424Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Snapshot:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4:\n",
      "\tparameter                    value\n",
      "--------------------------------------------------------------------------------\n",
      "in0_gain                      :\t-6 (dB)\n",
      "in0_offset                    :\t0 (V)\n",
      "in1_gain                      :\t-6 (dB)\n",
      "in1_offset                    :\t0 (V)\n",
      "marker0_exp0_config           :\tbypassed \n",
      "marker0_exp1_config           :\tbypassed \n",
      "marker0_exp2_config           :\tbypassed \n",
      "marker0_exp3_config           :\tbypassed \n",
      "marker0_fir_config            :\tbypassed \n",
      "marker0_inv_en                :\tFalse \n",
      "marker1_exp0_config           :\tbypassed \n",
      "marker1_exp1_config           :\tbypassed \n",
      "marker1_exp2_config           :\tbypassed \n",
      "marker1_exp3_config           :\tbypassed \n",
      "marker1_fir_config            :\tbypassed \n",
      "marker1_inv_en                :\tFalse \n",
      "marker2_exp0_config           :\tbypassed \n",
      "marker2_exp1_config           :\tbypassed \n",
      "marker2_exp2_config           :\tbypassed \n",
      "marker2_exp3_config           :\tbypassed \n",
      "marker2_fir_config            :\tbypassed \n",
      "marker2_inv_en                :\tFalse \n",
      "marker3_exp0_config           :\tbypassed \n",
      "marker3_exp1_config           :\tbypassed \n",
      "marker3_exp2_config           :\tbypassed \n",
      "marker3_exp3_config           :\tbypassed \n",
      "marker3_fir_config            :\tbypassed \n",
      "marker3_inv_en                :\tFalse \n",
      "out0_exp0_config              :\tbypassed \n",
      "out0_exp1_config              :\tbypassed \n",
      "out0_exp2_config              :\tbypassed \n",
      "out0_exp3_config              :\tbypassed \n",
      "out0_fir_config               :\tbypassed \n",
      "out0_latency                  :\t0 (s)\n",
      "out0_offset                   :\t0 (V)\n",
      "out1_exp0_config              :\tbypassed \n",
      "out1_exp1_config              :\tbypassed \n",
      "out1_exp2_config              :\tbypassed \n",
      "out1_exp3_config              :\tbypassed \n",
      "out1_fir_config               :\tbypassed \n",
      "out1_latency                  :\t0 (s)\n",
      "out1_offset                   :\t0 (V)\n",
      "present                       :\tTrue \n",
      "scope_acq_avg_mode_en_path0   :\tFalse \n",
      "scope_acq_avg_mode_en_path1   :\tFalse \n",
      "scope_acq_sequencer_select    :\t0 \n",
      "scope_acq_trigger_level_path0 :\t0 \n",
      "scope_acq_trigger_level_path1 :\t0 \n",
      "scope_acq_trigger_mode_path0  :\tsequencer \n",
      "scope_acq_trigger_mode_path1  :\tsequencer \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer0:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t0 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tTrue \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer1:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tI \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t0 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tTrue \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer2:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t1 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer3:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t1 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer4:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t1 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer5:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\tin0 \n",
      "connect_acq_Q                    :\tin1 \n",
      "connect_out0                     :\tI \n",
      "connect_out1                     :\tQ \n",
      "cont_mode_en_awg_path0           :\tFalse \n",
      "cont_mode_en_awg_path1           :\tFalse \n",
      "cont_mode_waveform_idx_awg_path0 :\t0 \n",
      "cont_mode_waveform_idx_awg_path1 :\t0 \n",
      "demod_en_acq                     :\tFalse \n",
      "gain_awg_path0                   :\t1 \n",
      "gain_awg_path1                   :\t1 \n",
      "integration_length_acq           :\t1024 \n",
      "marker_ovr_en                    :\tFalse \n",
      "marker_ovr_value                 :\t0 \n",
      "mixer_corr_gain_ratio            :\t1 \n",
      "mixer_corr_phase_offset_degree   :\t-0 \n",
      "mod_en_awg                       :\tFalse \n",
      "nco_freq                         :\t0 (Hz)\n",
      "nco_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, Flags: NONE, Slot flags: NONE\n"
     ]
    }
   ],
   "source": [
    "# Print an overview of the instrument parameters.\n",
    "print(\"Snapshot:\")\n",
    "readout_module.print_readable_snapshot(update=True)\n",
    "\n",
    "# Reset the cluster\n",
    "cluster.reset()\n",
    "print(cluster.get_system_status())"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "cell_metadata_filter": "tags,title,-all",
   "main_language": "python",
   "notebook_metadata_filter": "-all"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.20"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}