{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4a1e14e1",
   "metadata": {
    "tags": []
   },
   "source": [
    "Scope acquisition\n",
    "=================\n",
    "\n",
    ".. Note::\n",
    "        A version of this tutorial suitable for RF modules can be found [here](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/tutorials/q1asm_tutorials/basic/rf/scope_acquisition.html).\n",
    "\n",
    "The QRM/QRM-RF instruments have high speed analog to digital capability for performing measurements. In this tutorial we will demonstrate the sequencer based scope acquisition procedure allowing you to inspect and process the raw input\n",
    "of the QRM. We will also have a look at how to average multiple scope acquisitions in hardware (see section [Acquisition](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/q1_sequence_processor.html#acquisitions)). We will show this by using a QRM and directly connecting outputs\n",
    "$\\text{O}^{[1-2]}$ 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. As this tutorial uses waveform generation and acquisition, it will cover usage of `waveforms` and `acquisitions` in the sequence.\n",
    "\n",
    "As with all operations with QxM instruments, the devices will be controlled by preparing and uploading sequences onto the Q1 processors.\n",
    "For more info on the features, programming and operation of Q1 sequence processor please view [Q1 Sequencer](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/q1_sequence_processor.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c828d924",
   "metadata": {
    "tags": []
   },
   "source": [
    "Setup\n",
    "-----\n",
    "\n",
    "First, we are going to import the required packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "37a5c791",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:19.180146Z",
     "iopub.status.busy": "2024-09-02T01:38:19.179924Z",
     "iopub.status.idle": "2024-09-02T01:38:20.044725Z",
     "shell.execute_reply": "2024-09-02T01:38:20.043835Z"
    }
   },
   "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",
    "\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": "504f4cb0",
   "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": "72ee8e57",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:20.047707Z",
     "iopub.status.busy": "2024-09-02T01:38:20.047456Z",
     "iopub.status.idle": "2024-09-02T01:38:22.029255Z",
     "shell.execute_reply": "2024-09-02T01:38:22.025677Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No devices found\r\n"
     ]
    }
   ],
   "source": [
    "!qblox-pnp list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f49c3f51",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:22.037508Z",
     "iopub.status.busy": "2024-09-02T01:38:22.037321Z",
     "iopub.status.idle": "2024-09-02T01:38:22.040785Z",
     "shell.execute_reply": "2024-09-02T01:38:22.040154Z"
    }
   },
   "outputs": [],
   "source": [
    "cluster_ip = \"10.10.200.42\"\n",
    "cluster_name = \"cluster0\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e166ce2",
   "metadata": {},
   "source": [
    "### Connect to Cluster\n",
    "\n",
    "We now make a connection with the Cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d8117c1f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:22.043024Z",
     "iopub.status.busy": "2024-09-02T01:38:22.042853Z",
     "iopub.status.idle": "2024-09-02T01:38:22.774655Z",
     "shell.execute_reply": "2024-09-02T01:38:22.773988Z"
    },
    "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": "003be4ee",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "source": [
    "#### Get connected modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8649ebb1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:22.777412Z",
     "iopub.status.busy": "2024-09-02T01:38:22.777216Z",
     "iopub.status.idle": "2024-09-02T01:38:22.781373Z",
     "shell.execute_reply": "2024-09-02T01:38:22.780703Z"
    }
   },
   "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": "a4640ecf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:22.783562Z",
     "iopub.status.busy": "2024-09-02T01:38:22.783374Z",
     "iopub.status.idle": "2024-09-02T01:38:22.810704Z",
     "shell.execute_reply": "2024-09-02T01:38:22.810057Z"
    }
   },
   "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": "2045a6c4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:22.813002Z",
     "iopub.status.busy": "2024-09-02T01:38:22.812834Z",
     "iopub.status.idle": "2024-09-02T01:38:22.815645Z",
     "shell.execute_reply": "2024-09-02T01:38:22.815049Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module = modules[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59712e53",
   "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": "c6ad7b90",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:22.817733Z",
     "iopub.status.busy": "2024-09-02T01:38:22.817570Z",
     "iopub.status.idle": "2024-09-02T01:38:25.130812Z",
     "shell.execute_reply": "2024-09-02T01:38:25.127536Z"
    },
    "lines_to_next_cell": 2
   },
   "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": "c6e1b857",
   "metadata": {},
   "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": "5ee18ef0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.138611Z",
     "iopub.status.busy": "2024-09-02T01:38:25.138414Z",
     "iopub.status.idle": "2024-09-02T01:38:25.142818Z",
     "shell.execute_reply": "2024-09-02T01:38:25.142140Z"
    }
   },
   "outputs": [],
   "source": [
    "# Waveform parameters\n",
    "waveform_length = 120  # nanoseconds\n",
    "\n",
    "# Waveform dictionary (data will hold the samples and index will be used to select the waveforms in the instrument).\n",
    "waveforms = {\n",
    "    \"gaussian\": {\n",
    "        \"data\": scipy.signal.windows.gaussian(waveform_length, std=0.12 * waveform_length).tolist(),\n",
    "        \"index\": 0,\n",
    "    },\n",
    "    \"sine\": {\n",
    "        \"data\": [math.sin((2 * math.pi / waveform_length) * i) for i in range(0, waveform_length)],\n",
    "        \"index\": 1,\n",
    "    },\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82e9a218",
   "metadata": {},
   "source": [
    "Let's plot the waveforms to see what we have created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "31f9a22c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.144995Z",
     "iopub.status.busy": "2024-09-02T01:38:25.144833Z",
     "iopub.status.idle": "2024-09-02T01:38:25.345072Z",
     "shell.execute_reply": "2024-09-02T01:38:25.344447Z"
    }
   },
   "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": "c5b95870",
   "metadata": {},
   "source": [
    "Specify acquisitions\n",
    "--------------------\n",
    "\n",
    "We also need to specify the acquisitions so that the instrument can allocate the required memory for it's acquisition list. In this case we will create 5 acquisition specifications that\n",
    "each create a single bin. However, we will not be using the bins in this tutorial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "db8840be",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.347404Z",
     "iopub.status.busy": "2024-09-02T01:38:25.347228Z",
     "iopub.status.idle": "2024-09-02T01:38:25.350793Z",
     "shell.execute_reply": "2024-09-02T01:38:25.350114Z"
    }
   },
   "outputs": [],
   "source": [
    "# Acquisitions\n",
    "acquisitions = {\n",
    "    \"single\": {\"num_bins\": 1, \"index\": 0},\n",
    "    \"multiple_0\": {\"num_bins\": 1, \"index\": 1},\n",
    "    \"multiple_1\": {\"num_bins\": 1, \"index\": 2},\n",
    "    \"multiple_2\": {\"num_bins\": 1, \"index\": 3},\n",
    "    \"avg\": {\"num_bins\": 1, \"index\": 4},\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7362fc7",
   "metadata": {},
   "source": [
    "Create Q1ASM program\n",
    "--------------------\n",
    "\n",
    "Now that we have the waveforms and acquisitions specification for the sequence, we need a simple Q1ASM program that sequences and acquires the waveforms.\n",
    "For a reference of available commands with Q1ASM please visit [Q1 Sequencer](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/q1_sequence_processor.html). Note how the Q1ASM references the JSON structures stored in the JSON file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "de4bfe50",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.353153Z",
     "iopub.status.busy": "2024-09-02T01:38:25.352963Z",
     "iopub.status.idle": "2024-09-02T01:38:25.356117Z",
     "shell.execute_reply": "2024-09-02T01:38:25.355549Z"
    }
   },
   "outputs": [],
   "source": [
    "# Sequence program.\n",
    "seq_prog = \"\"\"\n",
    "play    0,1,4     #Play waveforms and wait 4ns. Parameters: waveform index (from dict) on path 0, waveform index (from dict) on path 1, wait (in ns)\n",
    "acquire 0,0,16380 #Acquire waveforms and wait remaining duration of scope acquisition. Parameters: acquisition index (from dict), data bin, Duration of acq (in ns)\n",
    "stop              #Stop.\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec2d430e",
   "metadata": {},
   "source": [
    "Create and Upload sequence\n",
    "--------------------------\n",
    "\n",
    "Now that we have the waveform and acquisition specifications and Q1ASM program, we can combine them in a sequence stored in a JSON file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "19aeb1d1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.358332Z",
     "iopub.status.busy": "2024-09-02T01:38:25.358170Z",
     "iopub.status.idle": "2024-09-02T01:38:25.378867Z",
     "shell.execute_reply": "2024-09-02T01:38:25.378150Z"
    }
   },
   "outputs": [],
   "source": [
    "# Add sequence to single dictionary and write to JSON file.\n",
    "sequence = {\n",
    "    \"waveforms\": waveforms,\n",
    "    \"weights\": {},\n",
    "    \"acquisitions\": acquisitions,\n",
    "    \"program\": seq_prog,\n",
    "}\n",
    "with open(\"sequence.json\", \"w\", encoding=\"utf-8\") as file:\n",
    "    json.dump(sequence, file, indent=4)\n",
    "    file.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "694ef67e",
   "metadata": {},
   "source": [
    "Let's write the JSON file to the instruments. We will use sequencer 0, which will drive outputs $\\text{O}^{[1-2]}$ and acquire on inputs $\\text{I}^{[1-2]}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "79161c2d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.381602Z",
     "iopub.status.busy": "2024-09-02T01:38:25.381433Z",
     "iopub.status.idle": "2024-09-02T01:38:25.448345Z",
     "shell.execute_reply": "2024-09-02T01:38:25.445211Z"
    }
   },
   "outputs": [],
   "source": [
    "# Upload sequence.\n",
    "readout_module.sequencer0.sequence(\"sequence.json\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "263da750",
   "metadata": {},
   "source": [
    "Play sequence\n",
    "-------------\n",
    "\n",
    "The sequence has been uploaded to the instrument. Now we need to configure the sequencers to trigger the acquisition with the `acquire` instruction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b062b4ea",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.458823Z",
     "iopub.status.busy": "2024-09-02T01:38:25.458022Z",
     "iopub.status.idle": "2024-09-02T01:38:25.555348Z",
     "shell.execute_reply": "2024-09-02T01:38:25.552283Z"
    }
   },
   "outputs": [],
   "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",
    "# Map sequencer to specific outputs (but first disable all sequencer connections)\n",
    "readout_module.disconnect_outputs()\n",
    "readout_module.disconnect_inputs()\n",
    "\n",
    "readout_module.sequencer0.connect_sequencer(\"io0_1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "620c9e6d",
   "metadata": {},
   "source": [
    "Now let's start the sequence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8623281a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.565867Z",
     "iopub.status.busy": "2024-09-02T01:38:25.565075Z",
     "iopub.status.idle": "2024-09-02T01:38:25.588551Z",
     "shell.execute_reply": "2024-09-02T01:38:25.585540Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status:\n",
      "Status: OKAY, State: STOPPED, Info Flags: ACQ_SCOPE_DONE_PATH_0, ACQ_SCOPE_DONE_PATH_1, ACQ_BINNING_DONE, Warning Flags: NONE, Error Flags: NONE, Log: []\n"
     ]
    }
   ],
   "source": [
    "# Arm and start sequencer.\n",
    "readout_module.arm_sequencer(0)\n",
    "readout_module.start_sequencer()\n",
    "\n",
    "# Print status of sequencer.\n",
    "print(\"Status:\")\n",
    "print(readout_module.get_sequencer_status(0))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3775d636",
   "metadata": {},
   "source": [
    "Retrieve acquisition\n",
    "--------------------\n",
    "\n",
    "The waveforms have now been sequenced on the outputs and acquired on the inputs. Lets make sure that the sequencer has finished it's acquisition and then retrieve the\n",
    "resulting data. The acquisition data is stored in a temporary memory in the instrument's FPGA. We need to first move the data from this memory into the into the\n",
    "instrument's acquisition list. From there we can retrieve it from the instrument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "90fbb57b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.598335Z",
     "iopub.status.busy": "2024-09-02T01:38:25.597546Z",
     "iopub.status.idle": "2024-09-02T01:38:25.656652Z",
     "shell.execute_reply": "2024-09-02T01:38:25.654365Z"
    }
   },
   "outputs": [],
   "source": [
    "# Wait for the acquisition to finish with a timeout period of one minute.\n",
    "readout_module.get_acquisition_status(0)\n",
    "\n",
    "# Move acquisition data from temporary memory to acquisition list.\n",
    "readout_module.store_scope_acquisition(0, \"single\")\n",
    "\n",
    "# Get acquisition list from instrument.\n",
    "single_acq = readout_module.get_acquisitions(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc9345ce",
   "metadata": {},
   "source": [
    "Let's plot the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e622161b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.663063Z",
     "iopub.status.busy": "2024-09-02T01:38:25.662624Z",
     "iopub.status.idle": "2024-09-02T01:38:25.774826Z",
     "shell.execute_reply": "2024-09-02T01:38:25.774210Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot acquired signal on both inputs.\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "ax.plot(single_acq[\"single\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][130:290])\n",
    "ax.plot(single_acq[\"single\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][130:290])\n",
    "ax.set_xlabel(\"Time (ns)\", fontsize=20)\n",
    "ax.set_ylabel(\"Relative amplitude\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afa3021d",
   "metadata": {},
   "source": [
    "Retrieve multiple acquisitions\n",
    "------------------------------\n",
    "\n",
    "We can also run the sequence multiple times consecutively and store the acquisition data in the instrument's acquisition list before retrieving them all in\n",
    "one go. To demonstrate this we will run the same sequence three times and vary the output gain for each run to create a clear distinction between the acquisitions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "adabb4c7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:25.777292Z",
     "iopub.status.busy": "2024-09-02T01:38:25.777109Z",
     "iopub.status.idle": "2024-09-02T01:38:26.009960Z",
     "shell.execute_reply": "2024-09-02T01:38:26.008779Z"
    }
   },
   "outputs": [],
   "source": [
    "# First run\n",
    "readout_module.sequencer0.gain_awg_path0(0.33)\n",
    "readout_module.sequencer0.gain_awg_path1(0.33)\n",
    "\n",
    "readout_module.arm_sequencer(0)\n",
    "readout_module.start_sequencer()\n",
    "\n",
    "readout_module.get_acquisition_status(0)\n",
    "\n",
    "readout_module.store_scope_acquisition(0, \"multiple_0\")\n",
    "\n",
    "# Second run\n",
    "readout_module.sequencer0.gain_awg_path0(0.66)\n",
    "readout_module.sequencer0.gain_awg_path1(0.66)\n",
    "\n",
    "readout_module.arm_sequencer(0)\n",
    "readout_module.start_sequencer()\n",
    "\n",
    "readout_module.get_acquisition_status(0)\n",
    "\n",
    "readout_module.store_scope_acquisition(0, \"multiple_1\")\n",
    "\n",
    "# Third run\n",
    "readout_module.sequencer0.gain_awg_path0(1)\n",
    "readout_module.sequencer0.gain_awg_path1(1)\n",
    "\n",
    "readout_module.arm_sequencer(0)\n",
    "readout_module.start_sequencer()\n",
    "\n",
    "readout_module.get_acquisition_status(0)\n",
    "\n",
    "readout_module.store_scope_acquisition(0, \"multiple_2\")\n",
    "\n",
    "# Get acquisition list from instrument.\n",
    "multiple_acq = readout_module.get_acquisitions(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b2ce885",
   "metadata": {},
   "source": [
    "Let's plot the result again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8ede13a5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:26.014195Z",
     "iopub.status.busy": "2024-09-02T01:38:26.013902Z",
     "iopub.status.idle": "2024-09-02T01:38:26.115825Z",
     "shell.execute_reply": "2024-09-02T01:38:26.115156Z"
    },
    "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 acquired signals (add acquisition index to separate acquisitions in plot).\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "for acq_idx in range(0, 3):\n",
    "    ax.plot(\n",
    "        np.array(\n",
    "            multiple_acq[f\"multiple_{acq_idx}\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][130:290]\n",
    "        )\n",
    "        + acq_idx\n",
    "    )\n",
    "    ax.plot(\n",
    "        np.array(\n",
    "            multiple_acq[f\"multiple_{acq_idx}\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][130:290]\n",
    "        )\n",
    "        + acq_idx\n",
    "    )\n",
    "    ax.set_xlabel(\"Time (ns)\")\n",
    "    ax.set_ylabel(\"Relative amplitude\")\n",
    "    plt.gca().set_prop_cycle(None)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8dad77b",
   "metadata": {},
   "source": [
    "### No Demodulation on Scope Acquisition\n",
    "\n",
    "The scope acquisition is carried out before the incoming signal is demodulated. As a result, the acquired signal needs to be demodulated in software in order to retrieve the original waveform for a non-zero NCO frequency."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84e7db9a",
   "metadata": {},
   "source": [
    "Hardware-based averaging\n",
    "------------------------\n",
    "\n",
    "We can also use hardware in the instrument itself to automatically accumulate acquisition data on-the-fly. This can be used to do averaging, by dividing the final\n",
    "accumulated result by the number of accumulations. To use this feature, we first need to modify the Q1ASM program to run the sequence multiple consecutive times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f9517d73",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:26.118235Z",
     "iopub.status.busy": "2024-09-02T01:38:26.118058Z",
     "iopub.status.idle": "2024-09-02T01:38:26.121040Z",
     "shell.execute_reply": "2024-09-02T01:38:26.120464Z"
    }
   },
   "outputs": [],
   "source": [
    "# Sequence program.\n",
    "seq_prog = \"\"\"\n",
    "      move    1000,R0   #Loop iterator.\n",
    "\n",
    "loop: play    0,1,4     #Play waveforms and wait 4ns.\n",
    "      acquire 4,0,16380 #Acquire waveforms and wait remaining duration of scope acquisition.\n",
    "      loop    R0,@loop  #Run until number of iterations is done.\n",
    "\n",
    "      stop              #Stop.\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13367b85",
   "metadata": {},
   "source": [
    "Next, we need to program, configure and start the sequencer with the updated Q1ASM program. This time we will also configure the sequencer to run in averaging mode."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "329dde80",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:26.123231Z",
     "iopub.status.busy": "2024-09-02T01:38:26.123068Z",
     "iopub.status.idle": "2024-09-02T01:38:26.270422Z",
     "shell.execute_reply": "2024-09-02T01:38:26.267513Z"
    }
   },
   "outputs": [],
   "source": [
    "# Add sequence to single dictionary and write to JSON file.\n",
    "sequence = {\n",
    "    \"waveforms\": waveforms,\n",
    "    \"weights\": {},\n",
    "    \"acquisitions\": acquisitions,\n",
    "    \"program\": seq_prog,\n",
    "}\n",
    "with open(\"avg_sequence.json\", \"w\", encoding=\"utf-8\") as file:\n",
    "    json.dump(sequence, file, indent=4)\n",
    "    file.close()\n",
    "\n",
    "# Upload sequence.\n",
    "readout_module.sequencer0.sequence(\"avg_sequence.json\")\n",
    "\n",
    "# Enable hardware averaging\n",
    "readout_module.scope_acq_avg_mode_en_path0(True)\n",
    "readout_module.scope_acq_avg_mode_en_path1(True)\n",
    "\n",
    "# Arm and start sequencer.\n",
    "readout_module.arm_sequencer(0)\n",
    "readout_module.start_sequencer()\n",
    "\n",
    "# Wait for sequence and acquisitions to finish.\n",
    "readout_module.get_acquisition_status(0)\n",
    "\n",
    "# Move accumulated result from temporary memory to the instrument's acquisition list.\n",
    "readout_module.store_scope_acquisition(0, \"avg\")\n",
    "\n",
    "# Get acquisition list from instrument.\n",
    "avg_acq = readout_module.get_acquisitions(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96729b91",
   "metadata": {},
   "source": [
    "The sequence has now run and accumulated a 1000 times. Time to finish the averaging process and print the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "91d950b1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:26.277888Z",
     "iopub.status.busy": "2024-09-02T01:38:26.277711Z",
     "iopub.status.idle": "2024-09-02T01:38:26.376626Z",
     "shell.execute_reply": "2024-09-02T01:38:26.375955Z"
    }
   },
   "outputs": [
    {
     "data": {
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zsFWqanWsEuMadB2e56eCy03gp6/Ivfncctv2/8G5S9hwIJPaFaIZf95ppXZz7JPVunolnu19CgB3zV7Eyj0HLE4kIiKFoYJNRMos7ztP4H18OIRCOAdeR9QLX2JERVsdq8Q5ew0k6vXvIKYCwT9/JueGnoT27bI6Von6bdtuXlm4CoC3z+9KpSi3xYmscWun5pzbsBbeYIjLvpxHnpbJiohEPBVsIlIm+T57A9/rDwLguuEh3A+/XSY6QZ4sxyk9iX7nZ4zK1Qmt/Zuca7oR2p5sdawSkesPcO20+ZjA0DaNOLdhbasjWcYwDD7ofzrVoj0s332AMfOWWh1JRESOQwWbiJQ5/p++wvvMLQC4bhyD+6ZHy93ytyOxN2tP9Pu/5u/Vtm0jOdd2J7Sr7Ld5H/PL36zdl0FCbBQvntXJ6jiWqxEbxVv9TgPghT9WsnZf+VwiKyJSWqhgE5EyJfj3b+Tdf1n+MsjBN+Aa9pDVkSKKrU4jot//FVv95ph7UsgdNRAzN8fqWMVmUcpenvt9JQBv9j2t3C6F/G8XNKnDeY1q4w+FuO37BeoaKSISwVSwiUiZEdq8lpyR/QsajLjvH6eZtSOwVatJ1NjpGBWrElr9J3mPXFMmP7B7A0Gu/XY+IdPkspb1uaBpHasjRQzDMHjl7M647DZmJafw1dqtVkcSEZGjUMEmImVCaG8qOTefC+n7sbXqTNTTk8v1PWvHY6tVP797pMNJYNZn+N5+3OpIRe6FP1ayYk8a1aI9vHpOF6vjRJxGleO4+9RWAIyctZAcvxqQiIhEIhVsIlLqmdmZ5N56HmbKZoykRkS9Mg0jKsbqWBHP0fEM3A+8AYDvjYfxz55qcaKisz0jmyd+XQbAi2d1omq0x+JEkemB09tQJy6GrRnZPP3rcqvjiIjIEahgE5FSzfT7yb37IkJrlmBUqkb0699hq1zN6lilhmvQdTivGAlA3kNXElz1p7WBisi9c/4kxx+ga+3qXNGqgdVxIla001HQiOXZ35ezcX+GxYlEROS/qWATkVLLNE3yHr2e4O+zwBNN1Njp2JIaWh2r1HGPfA5713MgL5fc288nlLLZ6khhmb91FxNXJmMAY8/povsYj2Nws7qcVT8RbzDEyB8WWh1HRET+iwo2ESm1fOMeIjDtI7DbiXr2c+wt1bL9ZBgOB1FPf4qtcWvMvank3nIeZsYBq2OdlGAoxG2zFgBwXbvGdKhZxeJEkc8wDF49pzMOm8G09duZtn6b1ZFERORfVLCJSKnkm/oWvneeAMDz4Fs4up9ncaLSzagQT9TYGRjVaxHatDq/3b/Pa3WsE/be3xtYkrqfeLeTJ3p1sDpOqdGsakVGdWkJwO3fLyQvoAYkIiKRQgWbiJQ6weUL8D59aGPsR3AOvNbiRGWDrUZtol6bCbFxBP+aR95DV2OGQlbHKrS0PC8PzM2/B++RM9pRPSbK4kSly0OntyWxQjTJaZk8f3DvOhERsZ4KNhEpVcz0/eTecwkE/Dh6X4hr2MNWRypT7I1bE/X8Fwfb/X+Kb+wDVkcqtEfm/c3eHC/Nq8Zz8ynNrY5T6lRwO3m+9ykAPPnrMrakZVmcSEREQAWbiJQiZihE7sNXY6ZuxUhqhGf0u2ooUQwcXXrjGf0uAL4PniEwb5rFiY5v1Z40Xlu0BoCXz+qM065fbyfj0pb16VGnBrmBIHfMXmR1HBERQQWbiJQivg+fIzhvGrjcRD33OUaFeKsjlVnO86/8p93/6GsI7U6xNtAxmKbJyFkLCZomFzRJ4uyGtayOVGoZhsFr556K3TD4Ys0WZm3cYXUkEZFyTwWbiJQKgT/n4Xv9/wBw3/sa9qbtrA1UDrhvexpb03aYaXvJe+hKzGDQ6khH9M26bfywKQWX3cYLfdQpNFytqlfi1k75S0pvm7UAX4T+dxcRKS9UsIlIxAvt303efZdCMIij35U4B11ndaRywXC5iXp6MniiCS78Ed+Hz1kd6X/kBQKMOrh32J1dWtKwcpzFicqGR85oR40YD2v3ZTB20Wqr44iIlGsq2EQkopmhEHkPD8XcuxNbgxZ4/u8N3bdWgmz1muK57zUAfG88RHD5AosTHe7FP1axKS2LxArRPHB6G6vjlBnxHhdP9uoIwOPzl7EvJ8/iRCIi5ZcKNhGJaP4JLxH8dSa4PXie/QwjKsbqSOWOY8BQHGcPgUCA3Psvw8xMtzoSADsysnny12UAPHtmR2JdTosTlS1Xt2lIm+qVSMvz8fj8ZVbHEREpt1SwiUjECq5cjHfs/QC473oZe8OWFicqnwzDwPPgmxiJ9TB3bCLvyRGYpml1LO798U+y/QG61q7O5a0aWB2nzLHbbDx/8J7A1xevYcP+DIsTiYiUTyrYRCQimVkZ5N5/acF+a84Lh1kdqVwzKlQk6smJYLcT+G4SgW8/sjTPH9t388mKZAzg1XM6a5lsMTmrQSLnNqyFPxTivh//tDqOiEi5pIJNRCKOaZr5szjbNmIk1MHz8Nv6QB4B7G1PwzXiUQDynr6Z0JZ1luQwTZN7DxYPQ9s2omPNqpbkKC+e630KNsNg6pot/Lptl9VxRETKHRVsIhJxAtM+JjAzfzYn6qlJGHGVrI4kB7mG3ou9Uy/IzSb3vksxfd4Sz/B98g7mbd2F225jzBntS3z88qZV9Upc164xAHfOXhQRy2FFRMoTFWwiElFC+3eT9/xIAFw3jsHerqu1geQwht2O5/GPMSpWIbRmCd6xD5To+CHT5P4f/wLglk7NSYpXE5qSMOaMdsQ4HSzYsZfPV2+2Oo6ISLmigk1EIor3xTsh4wC2Zu1xDb3X6jhyBLbqtfCMfg8A/4QXCcyfWWJjf75qM3/v2k8Fl5P7urYusXHLu5oVornntFYA3P/jX/iDIYsTiYiUHyrYRCRiBP6YTWD6BLDZ8Dz4FobDYXUkOQpHzwE4h9wCQN6j12NmFX8HQX8wxINz82fX7j6tFVWjPcU+pvzjzlNbUiPGQ3JaJu/9vd7qOCIi5YYKNhGJCGZeLnlPjgDAOeQW7C1PsTiRHI975LMYSQ0x96TgHfdQsY/33t/r2XAgk2rRHkZ1aVHs48nhYlxOHuiWvzn5Y/OXkusPWJxIRKR8UMEmIhHB9+6TmNs2YFSvhfumx6yOI4VgeKLwPPAGAP7JYwmuXFRsY+X4A4z55W8AHureVptkW2R4h6YkxcWwIzOHN/5ca3UcEZFyQQWbiFguuHEVvg+eAcB971iM2DiLE0lhOU49C8d5V4Bpkvf4cMxA8cy6jF20mp1ZudSLj2VY+ybFMoYcn9thZ3T3tgA89dsyMr1+ixOJiJR9KthExFJmKIT3iRvzN8juMQBHr4FWR5IT5L7jBahQkdCaJfg/fa3Iz5+W5+WZ35YDMKZHO9wOe5GPIYV3ddtGNK4cx94cL68sXGV1HBGRMk8Fm4hYyv/ZOIJLfoGomPzZNW2QXerYqtTAPfJZALyvP0godVuRnv/FP1ZxIM9Hi6oVuaJVgyI9t5w4h83GmDPaAfD8Hys4kFvye/GJiJQnKthExDKhbRvxvpLfut898llsNetYnEhOlnPgddjbdYPcbLzP3lZk592TncdLC1cC8GiPdtht+rUVCYa0rE/r6pVI9/p57vcVVscRESnTyvRvvrS0NO655x5at25NzZo1SUhIICEhgRYtWjBixAh27dp1UuddtWoVjRs3LuK0IuWLGQqRN/oayMvB3qkXzotutDqShMGw2XD/35vgcBD46Sv8P31dJOd99vflZPkCdEiowuBmdYvknBI+m2HweM/2ALyyaDWpWTkWJxIRKbvKbMEWDAbp3bs3MTExzJ07l5SUFFJTU0lNTeX333+nWbNmdOvWjZycE/slk5GRwcUXX0xycnIxJRcpH/yTxxYshfSMfhdDMyelnr1RK1xX3Q2A95lbMLMzwzpfSmYOry1eA8DjPdtruWyE6d84ic6JVcnxB3jq1+VWxxERKbPK7CekL7/8knr16jF69GiqVKly2C/6+Ph4br/9ds477zzGjx9f6HOapsk111zDlVdeSYUKFYojtki5ENqyHu/Y+wFwj3oeW636FieSouK6/kGMWvUxd23H+8bosM71xPxl5AWCdKtdnXMb1iqihFJUDMPgiZ4dAHjzr7VsTc+yOJGISNlUZgu25cuX06tXr2Me06dPH5YvL/xVweeffx6/388999wTbjyRcssMBsl75BrIy8XeuTfOi4ZbHUmKkBEVjef+cQD4J71CcPVfJ3WezWmZvL1kHaDZtUjWu35NetZNwBcM8dgvS62OIyJSJpXZgm379u3UrFnzmMckJiaydevWQp3vp59+4p133uGjjz7CpqVbIifN//kbBP/+FaJj85dC6oN4mePodi6Ocy6FUCh/b7Zg8ITPMWbeUvyhEH3q16RnvWP/LBfr/HuW7f2lG1i/P8PiRCIiZU+ZrTyCwSB2+7H36nE4HAQKscnr9u3bGTp0KJMnT6ZixYqFzuD1esnIyDjsIVKemen78b7xMADu25/BlqgmEmWV+66XIDae0KrF+D8bd0KvXbsvnY+WbwQoKAYkcnVNqk6/RrUJmiajf15idRwRkTKnzBZsRcXn83HxxRczevRo2rdvf0Kvfeqpp4iPjy94JCUlFVNKkdLB+/ZjkHEAW6NWOAcPszqOFCNb1QTctz0NgPf1/yO0e0ehXzv65yWETJMBTZLoXKtacUWUInSoY+TklZtYvvuAxWlERMqWclOwrV27lgYNGrBu3boTet2oUaNo1aoV11577QmPef/995Oenl7w2LataDeTFSlNQlvW4f/0NQDcd7yA4XBYnEiKm/PCYdhanwrZmXhfvKtQr1m6az+frtqMATzW48Qukol12iVU4eLm9TCBh+ae3H2LIiJyZOWmYGvatCnJyck0adKk0K/56KOP+P333xk7duxJjel2u4mLizvsIVJeeV++BwIB7Kefh+O0s62OIyXAsNnw/N8bYBgEvp9McPmC477mobn5S+qGtKhPmxqVizuiFKFHe7TDZhh8vW4bC3fssTqOiEiZUWYLtsLcnxYIBHAc5Sr/0qVLuf/++5kyZQoej6c4IoqUG4FFPxGY+zXY7bhHPW91HClB9qbtcAwYCkDeC3dgmuZRj/1j+26+Xb8Nm2HwSI92JRNQikyzqhW5snUDAB6cq3vZRESKSpkt2GrXrk1qauoxj0lJSaFOnTpHfG7cuHFkZ2fTtWtXEhIS/ueRnp5OQkICH3/8cXHEFykzzGAQ7wt3AOC86EbsDZpbnEhKmvumx8ETTWjpbwRmTznqcQ8dbFhxdZuGNK0SX1LxpAiN7t4Op83GD5tS+HnLsX8Hi4hI4ZTZgq1169bMmTPnmMfMmTOH1q1bH/G58ePHk5aWRmpq6hEf8fHxpKamcuWVVxZHfJEyIzDtI0Jr/4bYeFzDH7E6jljAVj0R19V3A+B95V5Mn/d/jpm7eSezN+3EabPxcPe2JR1Rikj9ShW4vn1jAB6c+9cxZ1RFRKRwymzBNnDgQLZv387o0aPZt2/fYb80MjIyGDt2LNOnT2fYMHWqEykuZk4W3tceAMB9w0PYKlW1OJFYxXX13RhVa2Lu2IR/8muHPWeaJv93cAndsA5NqFexghURpYg8eHpbPA4787ft5vvkwncHFRGRIyuzBZvdbmf27Nnk5ubSo0cPEhMTC5Yzdu7cmRUrVjB//nxiYmIAmDt3Lo0aNSr0Xmm1atUqzvgiZYLvg2cx96ZiJDXEeektVscRCxlRMbhvfhwA7zuPY6btK3hu5sYd/LZ9Nx6Hnf/r1saqiFJEEitEc/MpzYD8e9k0yyYiEh7D1E/SEpORkUF8fDzp6enqGCllXih1G9mDmkJeLp7np+LsPdjqSGIxMxgk57IOhNYvw3nZbXjueQXTNOn47rcsSd3PXae25Lk+nayOKUVgT3YeDV6fQpYvwBcX9WJQs7pWRxIRiTiFrQ3K7AybiFjL+9oDkJeLvcMZOM4cZHUciQCG3Y77jhcA8H8+jtCWdXyxZgtLUvdTweXk3q5HvqdYSp9qMR5Gdm4B5DeTCYZCFicSESm9VLCJSJELrlhIYPoEMAzcd76IYRhWR5II4Ti1D/bTz4NAgLyX7ynoDDmqSwuqRmsLlbLkzlNbUtHjYuWeNCav3GR1HBGRUksFm4gUKdM0C9r4O86/CnuLjhYnkkjjHvkc2O0E535N5dULqORxcUeXllbHkiJW0ePmntNaATB63t/4g5plExE5GSrYRKRIBWZPIfj3r+CJxn3LE1bHkQhkb9gC+8DrAXhi2afce2pL4j0ui1NJcbitU3Oqx3jYeCCTiSuSrY4jIlIqqWATkSJjevPwvnIvAK6h92Crrm6qcmSfn34VGQ4PHdI2c/O+JVbHkWIS43Jy58HZ0yd/XaZ72UREToIKNhEpMv7P38DcsQmjWiKuq+6yOo5EqLxAgAeXbufFpv3yv/Hmw5h5udaGkmIzomMzKke5Wbc/g89WbbY6johIqaOCTUSKhJmThe/9pwFw3TgGIyrG4kQSqd78cy3bM3P4psMgSKiDmboN3ycvWR1LikkFt5NRBztGPvHrMkLaTUhE5ISoYBORIuGb/Brm/t0YSY1w9r/a6jgSoXL8AZ76bTkA9/bqhOfWJwHwvfcUoX27rIwmxejWTs2JdztZuSeNL9dssTqOiEipooJNRMJmZqbj+/BZANzDR2M4nRYnkkj11l9r2Z2dR4OKFbi6TSMc516GrcUpkJOF7+3HrI4nxSTe4+L2g7Nsj89fhqlZNhGRQlPBJiJh8018GTIOYKvfHMe5l1kdRyJUXiDAc3+sBOD+bq1x2m0YNhvukfnFvn/qW4RSNPtSVt3euQWxLgd/79rPtPXbrY4jIlJqqGATkbCY6fvxTXgRANeIMRh2u8WJJFK9v3QDKZk5JMXFcFWbhgXfd3Tqhb3zmRDwa5atDKsc5eaWU5oD8Nj8pZplExEpJBVsIhIW30fPQ1YGtsZtcPS+0Oo4EqH8wRBP/3rw3rWurXD9V2Hvvunx/OO+/YDQlvUlnk9Kxh1dWhLtdLAoZS/fJ++wOo6ISKmggk1ETlpo/258k14FwH3TYxg2/UiRI5uwfCNbM7JJiI3i2raN/+d5e9vTsHfvB8Eg3rfGWJBQSkK1GA83dmgKwMM//61ZNhGRQtCnKxE5ab73n4HcbGwtO2Hv0d/qOBKhAqEQT/66DIC7Tm1JlNNxxOPcIx7NP37mRIIbV5ZYPilZ93ZtRczBWbav1m61Oo6ISMRTwSYiJyW0OwX/5+OAg7NrhmFxIolUn63azIYDmVSJchfMrhyJvXmH/GW1ponvjdElmFBKUvWYKEZ1ye8Y+eDcJQRDIYsTiYhENhVsInJSfO89Cd487O26YT/tbKvjSIQKmSZPzM+fXbujS0tiXMfe8sE1YgwYBoE5Uwmu/qskIooF7jq1FZWj3Kzam8aE5clWxxERiWgq2ETkhIVStuCf+hYArpsf1+yaHNWXa7awam8aFT0ubj6l2XGPtzdsieO8KwDwjnuouOOJReI9Lu7r2hqA0fOW4A0ELU4kIhK5VLCJyAnzvfM4BPzYO5+J45SeVseRCBUMhRg9728AbuvUnHiPq1Cvcw8bDXY7wfkzCK5YWIwJxUo3n9KMmrFRbEnP5u0l66yOIyISsVSwicgJCW3dgP+b9wFwj9CeWXJ0n6/ezMo9+bNrh+5ZKgxbnUY4+l0JgHe8OkaWVdFOBw93bwvA4/OXku3zW5xIRCQyqWATkRPifetRCAaxd+uLvV1Xq+NIhAqEQjxycHbtzi4tqehxn9Dr3df93z+zbCsXFUNCiQTXtmtMg4oV2JWdx6uLVlsdR0QkIqlgE5FCCyavJjDzEyC/M6TI0UxckczafRlUjnJze+fCz64dYqvTCMd5/wE0y1aWuex2Hu3RDoBnflvOgVyvtYFERCKQCjYRKTTf+EcgFMLRayD2Fh2tjiMRyh8MMWbeUgDuOa0VFdzH7gx5NO7rH8yfZftlumbZyrBLW9anVbWKpHv9vLhA+++JiPw3FWwiUijB9csJzPoMDAPXwQ2ORY7ko2UbSE7LpHqMh1sK0RnyaGx1GuHoe7BjpGbZyiy7zcajPdoD8PLCVezJzrM4kYhIZFHBJiKF4nvncQAcZ12MvXFri9NIpPIFgzw2P3927b6urY+779rxuK9/EGw2zbKVcQOb1qFDQhWyfAGe/X251XFERCKKCjYROa7gxlUEfvgcANcN2htLju7dv9ezJT2bmrFR3Nihadjns9Vt/M+9bG9pZresMgyDx3vmz7K9tngNOzNzLE4kIhI5VLCJyHH53n0CTBNH7wuxN2pldRyJUDn+AI/PXwbAA93aEOV0FMl5C2bZ5k0juHJxkZxTIs+5DWvRtXZ18gJBnvx1mdVxREQiRpEUbHPnzuW+++5jyJAhnHnmmfTr149t27YBcOutt/Lkk0+yc+fOohhKREpYaPNaAt9PBsB1w4MWp5FI9srCVaRk5lA3PoYb2jcpsvPa6jbG0fdy4ODFAymT/j3LNv6vdWxJy7I4kYhIZAirYDNNk0svvZTevXvzySefsHPnTpxOJ9999x3Lly8vOOaJJ56ga9eu7Nixo0hCi0jJ8b77ZH5nyJ4XYG/azuo4EqH25uTx9G/5P/cf79kBt8NepOd3XXM/AIGfviK4UZ0Ey6pe9WpyZr2a+EMhHj94L6SISHkXVsH2/vvv89lnn/Hee++xdetW5s2bx7vvvotpmgXHvPbaa6xevZqsrCxeffXVsAOLSMkJbd1QsO+a7l2TY3ny12VkeP20q1GZy1s1KPLz2xu2wHHmYAB87z1V5OeXyPHYwY6R7y/dwIb9GRanERGxXlgF2wcffMCAAQO4+uqrMQwDoOCf/1anTh0uvPBCpk+fHs5wIlLCfO89BcEg9u79tO+aHNXmtExeX7wGgGfO7IjtCL8HioLrugcACHw3idD25GIZQ6zXNak6fRvWImiajJn3t9VxREQsF1bBtnHjRtq1a1eoY+vXr6/72ERKkdCOTfinfwSAW7NrcgwPzl2CLxiid72anNUgsdjGsbfoiL3rORAK4fvgmWIbR6z32MF72T5ZkcyqPWnWhhERsVhYBdvOnTupVq1aoY6NiYkhLS0tnOFEpAT53n8GAgHsXc/B3rqL1XEkQi1J3ccnK/Jnu57p3fGIqyyKkuu6/wPA/80HhHbrvuiyqmPNqgxqWgcTGD1vidVxREQsFXaXyML+ci7uX+IiUnRC+3bh//YD4J8PyCJHct+PfwJwWcv6dKxZtdjHc3Tojr19d/D78H30QrGPJ9YZ06M9BjBl9RaWpO6zOo6IiGXCKtjsdjuBQKBQxwaDQez2ou0aJiLFwz/5NfB5sbU+FXv7062OIxFqzqYUZiWn4LTZeLxnhxIb99C9bP6p4wkd2Fti40rJal29Epe2rA/Awz9rlk1Eyq+wCrY6deqQkpJSqGN3795N7dq1wxlOREqAmZuN7/NxALiuvluz43JEpmny4Nz8D9E3dmxKg0oVSmxse9dzsDXvCHk5+Ce+XGLjSsl75Ix22AyDaeu388f23VbHERGxRFgFW+PGjfnxxx8Ldey8efNo0qToNlIVkeLh/+o9SN+PkdQIR88LrI4jEWr6hu38sWMPUQ47D3RrXaJjG4ZRMMvm+/R1zOzMEh1fSk6TKvFc3aYhAA9plk1EyqmwCra77rqLxYsXc91117F+/Xr8fn/Bc4euyqempnLffffx66+/ctddd4WXVkSKlRkI4JvwIgCu/9yBoWXMcgQh0+Shg7Nrt3ZqTkJsdIlncPS8AKNuE8hMw//lOyU+vpSch7u3xWmzMXvTTuZuVrdpESl/wirY+vTpw7PPPsunn35Ks2bN8Hg8NG3aFIALL7wQt9tNrVq1GDt2LE8//TR9+vQpktAiUjwCc6ZipmzGqFgV54ChVseRCDV19Rb+3rWfCi4n95zWypIMht2O66r8i4C+T17C/NcFQylb6lWswPXtGwP5W0iYpmlxIhGRkuUI9wR33XUXV155JQsWLCA5OZn09PSC5+Li4mjQoAGdO3emZs2a4Q4lIsXINE18Hz4HgPPSWzA8URYnkkgUDIUKGkDc0aUFVaI9lmVx9rsS37iHMFO3EZj1Kc5+/7EsixSv/+vWhveXbuDX7buZvmE75zdOsjqSiEiJCbtgA6hRowYDBgwoilOJiEWCi+cSWv0neKJwXnKz1XEkQn2yIpk1+9Kp5HExqktLS7MYbg/Oy27H99oD+D58Fsd5V6hJThlVKy6GWzs157nfV3D/j3/St2Et7LawdyYSESkV9NNORAD+mV0bcA22SsW/n5aUPv5giEfm/Q3AvV1bE+9xWRsIcF18I0THElq/nOBv31sdR4rRfV1bU9HjYsWetILN2kVEygMVbCJCcMMKgr/OBMPA9Z87rI4jEeq9v9ezKS2LGjEebjmlmdVxADDiKuEcPAwA34fPWpxGilPlKDf3Hrxn8uGfl+ANBC1OJCJSMlSwiQi+j54HwHHmYGxJDS1OI5Eo2+dnzC9/A3B/tzbEuJzWBvoX1xUjweEguOgngisXWR1HitFtnVuQWCGaLenZvPnXWqvjiIiUiELdw9a7d282bdoU9mANGjRg9uzZYZ9HRIpOaNd2AjMnAuAaeo/FaSRSvfDHSnZm5VK/Yiw3dmhqdZzD2BKScJx7OYFpH+H78Dminv3M6khSTKKdDkZ3b8vwGb/z+PylXNO2EXFu65fmiogUp0IVbAMGDGDz5s2Hfc80TV599VV69OhBu3btjvg60zT5+++/+eWXX+jTpw99+/YNN6+IFDHfxFcg4Mfe4QzsrTpbHUciUGpWDs/+vgKAp3p1xO2IvP35XFfdRWDaRwTmTCW0baNmisuwa9s15oU/VrJufwYv/LGSMT3aWx1JRKRYGWYYG5rYbDZee+01brrppmMe99JLL/H444+zfPlyEhMTT3a4Ui8jI4P4+HjS09OJi4uzOo4IZmY6WX2TIDuTqFen4ejez+pIEoGGT/+Nt5aso3NiVf64pl/EdmLMueU8gr/OxDnkFjz3jbU6jhSjKas3c/HUucQ4HWy8+UJqxGobEhEpfQpbG5TIPWwjR44kJiaG559/viSGE5FC8n/xFmRnYmvQAns3zYDL/1q1J413/l4PwPN9OkVssQbguvJOAPxfv4eZvt/iNFKcLmxWl06JVcn2Bxg9b4nVcUREilWJFGyGYXDeeefxww8/lMRwIlIIpt+H75OXgfzlZIb2NJIjuPfHxYRMk4FN69C9Tg2r4xyTvfOZ2Jq0hbwcfFPGWx1HipFhGDzf+xQA3l6ynhW7D1icSESk+JTYJ7RatWqxbdu2khpORI4jMHMi5p4UjGqJOPpebnUciUA/bd7JtPXbcdgMnjmzo9Vxjsv417YU/sljMf0+ixNJcTqjbgKDm9UlZJrcPWex1XFERIpNiRVsFStWJDMzs6SGE5FjME2zoJW/8/LbMVxuixNJpAmZJnfNzv8QPLxDU5pUibc4UeE4zr0Uo1oi5t6dBGZOsjqOFLNnzuyI02bju407+G7jdqvjiIgUi7AKNqfTic9XuCuYwWAQpzNy9u0RKc+C82cS2rgSYirgunC41XEkAn20bAN/pe6jgsvJ6O7trI5TaIbThfPSWwHwTXiRMPpqSSnQqHIct3ZqDsBdsxcTCIUsTiQiUvTCKtjq1atHSkpKoY7duXMndevWDWc4ESkivg+fBcA5eBhGhdIxcyIlJ8Pr474f/wTgoe5tqRbjsTjRiXFdNByiYgitX0ZwwRyr40gxe/D0NlSOcrNyTxrvLllvdRwRkSIXVsHWvHlzZs6cSeg4V7SCwSDTp0+nRYsW4QwnIkUguHIRwT9/BocD1xUjrY4jEejx+cvYlZ1H48px3N65udVxTpgRVwnnBdcC4Pv4BYvTSHGrFOVmdPe2ADz08xIyvLp3UUTKlrAKtgcffJBVq1YxePBgfvnlF7Zu3cr+/fsLHlu2bOHnn39m0KBBrFmzhgcffLCocovISfJ9+BwAjnMvx1ajtsVpJNKs25fOywtWAfDSWZ1w2SNvk+zCcF0xEmw2gr99R3DjSqvjSDEb0bEZTSrHsScnjyd/XWZ1HBGRIhVWwXbKKacwadIkFi9eTI8ePahfvz7VqlUreDRo0IBevXrx119/MWnSJDp2jPwuYyJlWWjbRgJzpgL5rfxF/tsdPyzCHwrRt2Et+jVOsjrOSbPVboCj1yAA/B+/aHEaKW5Ou43n+uS3+X/xj1Ws25ducSIRkaJjmEVwR7bX62Xt2rUkJyeTnv7PD8n4+HgaNGhA06ZNcbvVha6wu5mLFJe8p27G/9k47N36Ev3aDKvjSISZuWE7502ejcNmsGL4QJqWks6QRxNc+js5Q7uC00XMjC3YqiZYHUmKkWmanDd5Nt9t3ME5DRKZedlZEb3Ru4hIYWsDR1EM5na7adOmDW3atCmK04lIMQgd2Iv/m/cBcF19t8VpJNL4gkFGzloIwO2dW5T6Yg3A3vY0bG1OI7Tsd/yfvo775sesjiTFyDAMXj2nC63Gf8X3ySl8tXYrg5qp2ZmIlH4ltg+biFjL/9nrkJeLrXlH7Kf0tDqORJixi1azbn8G1WM8PHR6W6vjFJmCjbSnvIGZm2NxGilujSvHcdeprQAYOWshOf6AxYlERMKngk2kHDBzc/BPfg0A19B7tExIDrMrK5dHf1kKwFO9OhLvcVmcqOg4zhyEUas+Zto+/N9+aHUcKQEPdGtNUlwMWzOyeUoNSESkDFDBJlIO+L/9ADNtL0at+jjOHGx1HIkwD/z0FxleP6fUrMLQto2sjlOkDLsd1+UjAfB98hKmNlYu82JcTl46qxMAz/6+gg37MyxOJCISnrDuYbvmmmvYsmVLoY+vX78+7777bjhDFlpaWhpPPvkkM2fOZO/evRzqrVK5cmV69OjBI488Qo0aNY75+gcffJDp06eTm5tb8H2Hw0GTJk14/PHH6dq1a7G/D5FwmcEgvgn5XfJc/7kDw1Ekt65KGbE4ZS/vL83fbPjVc7pgK4Ozr86B1+J9czTm1vUE503D0XOA1ZGkmA1uVpez6ifyw6YUbp+1kGlDemtlgYiUWmHNsFWsWJH4+PijPmJiYli2bBk///wzDoejxDojBoNBevfuTUxMDHPnziUlJYXU1FRSU1P5/fffadasGd26dSMn5+j3M4waNQqn08mKFSsKXpuamsrWrVt59NFHueKKK0hJSSmR9yMSjuCvMzG3bYS4SjgvuMbqOBJBTNPktlkLMIH/tGrAabWrWx2pWBjRsbguHA5oI+3ywjAMxp7bBafNxowN25m2frvVkURETlqRtPU/Fr/fzw033MD69esLCrfiNmXKFCZNmsTUqVOPesxtt91G/fr1GTVq1BGfr1mzJsnJyURFRR3x+fvvv586deowYsSIQudSW3+xQs6Iswn+8QPOq+/GM/JZq+NIBJmwfCNXfv0LMU4H624aTGKFaKsjFZvQ7h1k96sHgQDRExZhb3mK1ZGkBNw7ZzHP/r6C+hVjWTl8IFFOrTAQkchR2Nqg2O9hczqdjB8/ntWrV/P2228X93AALF++nF69eh3zmD59+rB8+fKjPn/PPfcctVgDSEpKYtu2bSedUaQkBDetIfjHD2Cz4brkJqvjSATJ8vm598c/Afi/09uU6WINwFa9Fo5zLgM0y1aePNS9LbUqRLMpLYtnf19hdRwRkZNSIk1H3G43/fv359NPPy2J4di+fTs1a9Y85jGJiYls3br1qM8fbebtkBUrVtCoUdm6OV/KHv+n+Z0hHWf0x5ZYz9owElGenL+MlMwcGlSswKguLayOUyJcV+a3+A/M/pxQqi64lQexLicv9MlvQPL0b8vZdCDT4kQiIieuxLpE1q9fn5UrV5bIWMFgELvdfsxjHA4HgcDJ7c/yzTff8N133zFo0KBjHuf1esnIyDjsIVJSzMx0/N98AIDz0lutDSMRZc3eNF5YkP/z+MWzOuEpJ41o7E3b5e9BGAzinzre6jhSQi5pUY8z69UkLxBk5A8LrY4jInLCSqxgq1y5MgcOHCip4YrFgQMHGDp0KKNGjeKrr76iUqVKxzz+qaeeOqwJS1JSUgklFclv5U9uNrYGLbB3PtPqOBIhQqbJ8Bm/4wuG6NuwFgOalK+fS85LbgbA/8XbmD6vxWmkJBiGwdhzuuCwGXyzbhszNqgBiYiULiVWsPn9ftxud0kNd5i1a9fSoEED1q1bd1KvN02TyZMn07ZtWypVqsRff/1FmzZtjvu6+++/n/T09IKH7nmTkmKGQvgObpTtvPRWtbOWAu//vZ55W3cR7XQwru+p5e7vhqPnBRjVEjH37yYw5+iNqaRsaVGtIrd3zl/6e9v3C8g7yRU2IiJWKLGCLSUlhXr16pXUcIdp2rQpycnJNGnS5IRfu23bNvr06cNbb73FzJkzeemll4iPjy/Ua91uN3FxcYc9REpC8LfvMbdtgNh4nP3+Y3UciRC7snK5a85iAB7t0Y56FStYnKjkGU4nzotuBCi4qCHlw+ju7agZG8XGA5k8+5sakIhI6VEiBZvX62Xq1Km0a9euJIYr1P1pgUDguFsMLFy4kDPOOIMhQ4YwZ84cWrZsWZQxRYqNb9KrADgvuBYjOtbiNBIpRv2wkLQ8H+0TKhfMNpRHzsE3gMNJaNnvBNcssTqOlJAK7n8akDzx6zJW702zNpCISCGFdaf5tm3b2LNnz1Gfz8rKYvPmzYwdO5bU1FTGjBkTznCFVrt2bVJTU495TEpKCnXq1Dnq82lpaQwePJjJkydz+umnF3VEkWIT2rKO4G/fgWHgGnKz1XEkQszcsJ1JKzdhMwze7tcVh63EFlhEHFvVBBy9LyTw/WT8n76OffQ7VkeSEnJpy/p8vHwjMzfu4IZpvzHv6r7YytmyYBEpfcIq2Dp27Mi+ffuO+vyhPbnbt2/PnDlzSqwNfuvWrZkwYQK33HLLUY+ZM2cOrVu3PurzL7zwApdffrmKNSl1fJ++DoC9ez9sSQ0tTiORINvnZ8TM3wG4vXNzOtasanEi6zkvvSW/YJv5Ce6Rz2LEV7Y6kpQAwzB487zTaDn+K37dvps3/1zLTac0szqWiMgxhVWwzZs3j127dh31+fj4eOrXr1/oe76KysCBA3n66acZPXo0t912G5UrVy64sT4jI4MPP/yQ6dOns3Tp0qOe488//+Tee+8tqcgiRcLMzsT/zfsAuNTKXw56cO4StqRnUycuhkd7tLc6TkSwt+2KrUlbQuuW4v/6fVxX3Wl1JCkhdeJjeapXR279fgH3/riY/o2TSIqPsTqWiMhRhVWwNWvWjGbNIu/KlN1uZ/bs2TzxxBP06NGDffv2Fcz2VaxYkR49ejB//nxiYvJ/QM+dO5frr7+ev/76q6AxyP79+7nooouOuZ9b7969+eSTT4r/DYkUkv/bDyE7E1u9pti79LE6jkSAX7bu4pWFqwB487zTiHU5LU4UGQzDwDnkZryPDcP3+Tic/xmFUY6XiZY3N53SjIkrk/l9+x5GzPydb4f0LncdU0Wk9DDMQ5WMFLuMjAzi4+NJT09Xx0gpcmYoRM6FLQhtXov7vtd0/5qQ4w/Q9q2v2XAgk2vaNuK9/lri/W9mbjZZ59SGzDSiXp2Oo/t5VkeSErRqTxrt3/kGXzDEpEFncGnLBlZHEpFyprC1QViXE3Nycor1eBEpvOCC2YQ2r4WYCjjPv8rqOBIB/u+nv9hwIJNaFaJ58axOVseJOEZUDM4B1wDgmzzW4jRS0lpUq8j/dcvfU/XW7xewJzvP4kQiIkcWVsFWq1YtJk6cWKhjP/74Y+rWrRvOcCJyDAWt/AdcgxFT/vbXksP9eynk2/26UtHjtjhRZHJdegsYBsHfviO4aY3VcaSE3detNa2rV2Jvjpebv/vD6jgiIkcUVsGWnp5OWlpaoY5dt24dUVFR4QwnIkcR2raR4PwZAFoKKeT4A1z77XxM4Jq2jejbqLbVkSKWrXYDHGf0B8CvWbZyx2W380H/07EbBp+v3sznqzZbHUlE5H+U2B3W8+fPp2FDtRgXKQ6+T18H08TerS+2uk2sjiMW01LIE+O8/HYgv2mPmZlmbRgpcR1qVuGBg0sjb/rud3Zn51qcSETkcGEXbMfrqrRz507uu+8+5s2bx623qs24SFEzc7Lwf/0eoFb+AnM2pfDywaWQb2kpZKHYO/XC1qgV5Gbj/+o9q+OIBR7s3oY2B5dG3jTzD9SPTUQiyQkVbJMnTyY+Pp64uLiCTiajRo0q+Pq/Hy6Xi9q1a/PSSy9x//33M3jw4GJ5EyLlmX/ax5CVjlGnMfau51gdRyx0INfL1d/MB2BY+yacp6WQhWIYBs7LbgPym4+YwaDFiaSkuex2PhhwOg6bwdQ1W/hMSyNFJIKc0D5snTp14s4778Q0TUzT5NFHH6V379507tz5iMfHxsZSr149OnXqRJ06dYoksIj8wzRN/J++BuTfu6Z9pMq3m2b+wY7MHBpXjtNSyBPk7HsF3lfvw0zZTGDetzh7DbQ6kpSw9glV+L9ubRjzy1Ju/u4PetZNoEas7r0XEeuFtQ+bzWbjtdde46abbirKTGWW9mGTohZY/DO5N/QETzSxs1IwKsRbHUksMnFFMld8NQ+7YfDb0PPoXKua1ZFKHe8r9+H74BnsnXoR/daPVscRC/iCQTq/N42luw5wdoNEZl52FjZtqC0ixaRE9mHr3bs3LVu2DOcUIhIG/+dvAOA87woVa+XY1vQsbpr5OwAPd2+rYu0kOYfcDHY7wUU/EVy3zOo4YgGX3c4nA88gymFnVnIKT87X3wMRsV5YBdsPP/xAjx49iiqLiJyA0N5UAj9+AYDzEs1yl1ch0+Tqb+aT7vVzaq1qPHB6G6sjlVq2hCQcZ+bfa+0/uK+hlD8tq1ViXN9TARg9729+2rzT4kQiUt7phheRUsr/1bsQ8GNrfSr2pu2sjiMWeeyXpczdkkqM08HHF3THofsYw1LQ4n/mJ5jp+y1OI1YZ2rYxQ9s0ImSaXP7VPHZlqdW/iFin0L/ZZ82axeOPP87ixYuLM4+IFIIZDOKf+hYALs2ulVvT1m/jkXl/AzCu76k0qqx7Y8Nlb9sVW5O24M3DP+0jq+OIhV7veyotq1UkNSuXy7+aRzAUsjqSiJRThS7YLrjgAkaPHs2wYcMKvte4cWPsdnuhH02aaENfkaIQnD8DM3UrRsUqOM662Oo4YoH1+zP4z1fzALj5lGZc1aaRxYnKBsMwcF50IwD+KW9qP65yLNrp4PMLexLjdPDj5p08+stSqyOJSDlV6Lb+p59+Oj/++CPdunUr+N4zzzzDtm3bCj1YUlLSiaUTkSPyfTYOAMeAazDcHovTSEnL8vkZ/PmPpHv9dK1dXS38i5jzvCvwvnw3oc1rCf75M45TelodSSzSvGpF3jzvNK78+hce/WUp7RMqM7BpXatjiUg5E1ZbfzkxausvRSG0PZnsAY3ANIn5ZgO2pIZWR5ISZJoml375M5+t2kxCbBR/XtefxArRVscqc/IevxH/1PE4zh5C1DOTrY4jFrvt+wWMXbSaWJeD34b2o3X1SlZHEpEyoETa+otIyfNPHQ+mib3rOSrWyqHn/1jJZ6s247AZTLmwp4q1YuK8eAQAgR+/ILRvl8VpxGov9OnEmfVqkuULcMFnc9ibk2d1JBEpR0q0YNNknkh4TG9efndIwHnRCIvTSEn7Ys0W7p2T3/jppbM60y2phsWJyi5707bYWp8KAT/+r96zOo5YzGm38dngHjSoWIFNaVlcMnUu/qCakIhIySixgm3KlCm6h00kTIHZUzDT9mEkJOHo3s/qOFKCFuzYwxVfzcMEburYjJtPaWZ1pDLPdaj5yBdvYQaDFqcRq1WJ9vDNkDOJdTn4aUsqo35YaHUkESknSqxgW7FiBYZhlNRwImWS7/M3AHAOHobhKHTPICnlkg9k0v/TOeQFgpzXqDavnNNZP09LgOPsS6BCRcyUzQR/n2V1HIkALatV4pOBZ2AAry9ew9t/rbM6koiUAyVSsK1du5aPP/6Yzp07l8RwImVScO1SQkt/A4cD56DrrY4jJWR/rpfzJv/Anpw82idU5tPBPbQ5dgkxPFE4BwwF8lv8iwAMaFKHx3q2B+Dm7/7gl626x1FEilehfuu3b9+euLi4k3p4PB5atGiB1+vlqaeeKu73I1Jm+Q/OrjnOHIytaoLFaaQk+IJBBn/+I2v3ZVC7QjTThvQh1uW0Ola5cmhZZOCXaYRSC7+NjZRtD3RrwyUt6uEPhbhwyk9sScuyOpKIlGGFWlN1++23s2XLlpMaICoqivr169O3b19iY2NP6hwi5Z2ZlYF/xgTgn+51UraZpslNM//g5627qOByMuOys9QR0gK2ek2xd+pFcNFP+L98B/eIMVZHkghgGAbvnd+N9fszWJK6n4Gf/8j8q/sSowsqIlIMtA9bCdI+bHKyfJ++jvfpW7DVb0701JW6f6kceGXhKkbOWojNMJg2pDd9G9W2OlK55Z/1GXn3DsGoWpOYGVswnPpQLvm2pmfR6b1p7M7O4+Lm9fh0cA/9fBaRQtM+bCJlhGmaBcshnReP0IeBcmDWxh3c8cMiAJ7rfYqKNYs5eg3EqFIDc+9OAvO+tTqORJA68bFMvbAXTpuNz1dv5uGfl1gdSUTKIBVsIhEu+NcvhDauBE80zvOvsjqOFLO1+9K55Iu5hEyToW0aMapLC6sjlXuG04Vz4HWAmo/I/zq9Tg3G9T0VgMfnL+PhuUu076yIFCkVbCIRrmB2re/lGBXiLU4jxelArpcBn84h3euna+3qvHneaZpRjRDOwTeAYRD84wdCWzdYHUcizPXtm/Bc71MAeGz+Uh5U0SYiRahINnJaunQp8+bNIzk5mfT09ILvx8fH07BhQ8444wzatGlTFEOJlCuhfbsIzJkKqNlIWbc7O5d+k2ezbn8GSXExfHFRL9wOu9Wx5CBbYj3s3foSnD8D3xdv4Rn5rNWRJMLcdVorHDaDUT8s4slflxEIhXj6zI666CIiYQu7YBsxYgRvvfUWTqeT2rVrU6FChYLnMjIy2LFjB4FAgOHDh/P666+HO5xIueL/6l0I+LG17oK9eQer40gxST6QyTkTZ7HhQCZVotx8O6Q3NWKjrI4l/8V10Y3kzp9B4Ov3MEc8iuH2WB1JIszILi1x2Gzc+v0Cnv19BYGQyfN9TlHRJiJhCWtJ5OTJkxk/fjzPPPMMmZmZbNiwgSVLlhQ8Nm7cSGZmJk8++SRvvvkmkydPLqrcImWeGQzinzIeANdFml0rq5ak7qPrB9PZcCCTuvEx/Dr0PNrWqGx1LDkC++nnYSQkYabtK5j5Fvlvt3RqXnBP24sLVjJy1kItjxSRsITV1r9nz564XC5mzZp13GPPOecc8vLy+Pnnn092uFJPbf3lRATmTSP39v4QX5nY77ZjeDTjUtbM2ZTCoM9/ItPnp031SszUXmsRz/v24/jGPYS9/elEv/eL1XEkgr391zqGzfgNgJs6NmPsuV2waaZNRP6lRNr6Jycn06VLl0Id26VLF5KTk8MZTqRc8X02DgDngGtUrJVBk1cm03fSbDJ9fnrWTWDeVX1VrJUCzoHXgd1OcMl8ghtWWB1HItgNHZrw3vndMIBxf65hxIzfCWmmTUROQlgF244dO6hRo0ahjq1WrRopKSnhDCdSboR2bCL423cAuC4cbnEaKWqvLFzFZV/Owx8KcXHzenx32VnEe1xWx5JCsFWriaPnQEAt/uX4rmnXmA8HdMdmGLy1ZB03TPtNRZuInLCwCjbDMAgGg4UbyKYdBEQKyz9lPJgm9tPOxla3sdVxpIiYpsl9Py5m5KyFANxySjMmDTpD3SBLGedFNwLgn/4xZm62xWkk0l3ZpiEfX5BftL23dD0XT51Lls9vdSwRKUXCqqKqVKnC3r17iyqLiACmz5vfHRK18i9L/MEQQ7+ZzzO/5S+je6JnB149pwt2Xcwqdeydz8RIaghZGQRmfWZ1HCkFLm/VgEmDzsBps/HFmi10/WAGmw5kWh1LREqJsD4ptGjRgvXr1xdVFhEBArOnYKbtxahRG0f3862OI0VgV1YufT75no+Wb8RuGLx3fjceOL2NWn2XUobNhnPwMAB8U8dbnEZKi0ta1GfuledSI8bD8t0HOOW9aczZpFtFROT4wirYLr74YqZPn052tpaEiBQV/+dvAOAcPAzDUSR724uFFu7YQ8d3v2Xe1l1UcDn5+pIzuaadlrmWds4BQ8HhJLR8AcG1S62OI6VE16TqLL6uP6fUrML+XC/nTPyBVxauUtt/ETmmsAq2YcOG0alTJy655BL2799fVJlEyq3gumUE//4VHA6cg663Oo6E6d0l6+j+0Ux2ZObQtEocC67tR7/GSVbHkiJgq1wdx5mDAPB/8ZbFaaQ0qR0Xw7yr+vKfVg0ImiYjZy3kiq/m6b42ETmqsC7fDx48mG3btrFx40Zq1KhBkyZNsNuPfPP8vn37ME2TNm3aHPb9unXr8u2334YTQ6TMODS75ug5EFu1mhankZOV6w8wctZC3lqyDoALmiTx0QXdiXOrE2RZ4hw8jMCsz/DPmIB75LMYUTFWR5JSIsrp4KMLutOxZhXunrOYSSs3sXTXAaZe1JNmVStaHU9EIkxYBVuHDh2oUqUKp59++kmfo169euFEECkzzKwM/DMmAOC85CaL08jJWrH7AJd++TMr96RhAI/2aM8Dp7fRhrllkL1TL4ykRpjbNhD4/lOcA6+1OpKUIoZhMLJLS06pWZVLvpjLqr1pdHpvGu/3P52LmtezOp6IRBDD1MLpElPY3cylfPJ9Ng7vUzdjq9+M6Kmr1JCilDFNk/F/rWXUD4vICwSpEePhowHdObthLaujSTHyfvAsvlfuxdaqMzEfL7A6jpRSqVk5XPrFz/y8dRcA17VrzPN9TqGix21xMhEpToWtDdRPWiQCmKb5T7ORi0aoWCtlUrNyuGjqXEbM/IO8QJBzG9Zi2bALVKyVAwXNR1YsJLj2b6vjSCmVEBvN7P+cwz2ntQLg3b/X0+LNr/h67VaLk4lIJFDBJhIBgn//SmjDCvBE4+x/ldVxpJB8wSDP/76CJuO+5Is1W3DabLzQpxPTL+1D9Zgoq+NJCchvPjIYAP9UNR+Rk+ew2Xim9ynMu6ovTSrHsTMrl4Gf/8iQL+ayKyvX6ngiYiEVbCIRwP/ZOACc516GUaGitWGkUL7buJ3W47/m7jmLyfT56ZxYlT+u6ccdp7bU/WrljPPC/D3Z/DMmYOZkWZxGSrvudWqwdNgA7u/aGrth8NmqzbQY/xUfL9uo9v8i5VSR3MO2b98+1q5dy44dO8jNPfpVoNq1a3PmmWeGO1yppXvY5EhC+3eTfU5tCPiJnvgn9uYdrI4kx7AtPZvbZi3gq4NLlarHeHjmzI5c1aaRCrVyyjRNsi9ogrltA+6H38E16DqrI0kZ8dfOfVw37Vf+3pW/ddK5DWsx/rzTqBMfa3EyESkKha0NwirYgsEgt99+O++++y4+n++4V35q167N1q3ldz22CjY5Eu+7T+F77QE1LYhwgVCIVxeu5uGfl5DtD+CwGdzeuQUPnd6WeI/a9Zd3vg+fw/vyPdhadiJmwkKr40gZ4g+GeP6PFYyZ9zfeYIhYl4OnenVkeIemOO1aKCVSmpVIwfb000/zwAMPMHz4cK699lpq165NdHT0UY+Pjo7G6XSe7HClngo2+W9mMEh2/4aYO7fgGfN+fgMDiTgLd+xh+IzfC65yd6tdnfH9TqNltUoWJ5NIEdq/h+xzauXPlE/6C3uz9lZHkjJmzd40rp/2G79u3w1AvfhY7unaimvaNsLjCGuXJhGxSIkUbO3atSMpKUkbXxeSCjb5b4FfppN72/kQV4nY73dgeNSoIlIEQyGmb9jOKwtX8+PmnQBU8rh4tvcpXNuusZY/yv/IvfdSArM+xXnRjXj+7w2r40gZFDJN3vxzLWN++Zvd2XkAJMRGcUeXltzYoSkV3OX3orhIaVQibf03bNgQ1qbZIuWd71CzkQHXqFiLEJlePy8tWEmTcV9ywWc/8uPmndgMg6taN2TNiEFc376JijU5IudFwwHwz/xEzUekWNgMg5tOacbmWy5i7DldSIqLITUrl3vmLKbRuKm8vng1/mDI6pgiUsTCmkPPyckhNlY3voqcjNCOTQR/nQmA66IbLU4juf4Ab/y5lqd+W8beHC+QP6N2Q/sm3NSxGXUr6medHJv9lJ4YdRpjbl2P/7vJuAZfb3UkKaOinA5u6dScYR2aMHFFMk/MX8aGA5nc8t0CXl6wiid7deSi5nW1p6dIGRFWwVahQgX2799fVFlEyhX/1LfANLGfeha2uo2tjlNu+YMh3l+6nkd/WcqOzBwAGleO465TW3JFqwbEuLTESArHMAxcFw7D+9Ld+KeOV8Emxc5ltzO0bWOuaNWQt5esY8wvf7PhQCaXfDGXdjUqc0WrBgxuVpcGlSpYHVVEwhDWPWynn346NWrUYOrUqUWZqczSPWxyiOnzkn1Obcy0vXhe+ALnmYOsjlSupOV5mb1pJzM37GDmxu3sPLgpbVJcDI+c0Y6r2jTEYVP3NTlxoQN785uP+H3apkNKXKbXzwt/rOD5P1aS7Q8UfL9djcoMblaXoW0akRQfY2FCEfm3Emk6Mm3aNAYOHMjEiRO55JJLTvY05YYKNjnEP3MieQ9cgVG9FjHTN2Oow1exy/UHmLxyE+8v3cBv23cT/NePvuoxHv6vWxuGd2iK22G3MKWUBbn3XUbg+8k4LxyO58E3rY4j5dCe7Dw+X72ZqWu28POW1IKfdw6bwaUt6nP3aa1oU6OyxSlFpEQKNoAvvviCIUOGULt2bRo0aEBMzNGv3DRo0ICXX345nOFKNRVsckjOtd0JLpmP68YxuIc/bHWcMm1rehZv/LmWt5esY1+ut+D7TavE0bdhbfo2rMUZdWuoLbYUmcDiueTe0AuiY4mdlYIRo+VoYp29OXl8s24bHy3bwM9bdxV8/5wGidzYsSndk2pQJdpjYUKR8quwtUFYn1B2797Nww8/TDAYxOfzkZWVRSh09O5EGRkZ4QwnUiYE1y8nuGQ+2O04B+kel6Jkmiab0rJYvHMvi3fuY1HKXuZt3UXo4HWpOnExjOjYlCEt6lNf93RIMbF37IFRtwnmlnX4v5+Ma/ANVkeScqxqtIdr2zXm2naNWZyyl+f+WMGU1Vv4PjmF75NTgPwLWF1rV6db7eoMaFKHajEq4EQiSVgzbNdccw2ffvopX375Jeecc05R5iqTNMMmAHlP3oT/8zdw9L6QqOenWB2n1PMFg8zZtJMpq7fwzfqtBR0e/61X3QRu7dSc/k2SdG+alAjfRy/gfekubM07EjNxsdVxRA6TfCCTVxet4vuNKazZl37Yc3bD4OwGiVzeqgEXNKmjvd1EilGJLIlMTExk4MCBjBs37mRPUa6oYBMzO5OssxMhJ4uo8XNwdD7T6kilRobXx9b0bHZn57E7J5dd2Xn8tXMfX6/bSrrXX3Cc02ajbY1KnFKzKqfUrMLpdWrQtEq8hcmlPDqs+cgni7G36Gh1JJEj2peTxx879vDb9j18n7yDP3fuK3guymGnU2JValeIoVZcNLUrRNOgUgXOrFeTaKeWkYuEq0SWRO7atYumTZuGcwqRcsU/fQLkZGGr1xR7p15Wx4l4m9My+XrdNr5eu5V5W3cd1ijk3xJioxjctC4XNqtLt6TqahwilrNVqoqj94UEvpuE/4u3sLcYb3UkkSOqEu2hX+Mk+jVO4oleHVi3L52JK5KZuHIT6/dnMO9f970dEu10cF6jWlzcvB7nNapNrLY/ESlWYRVshmFg0/IikUIxTRP/lDcAcF50ozY0Jb+9/i9bd/Pz1lRSMnPwh0L4gyH8IZPtGdks233gsOOrRLmpERNF9RgP1WM81I2PZUDjJLomVcemP0+JMM4Lh+cXbDMn4h71vJqPSKnQpEo8j/Roz+gz2rF0137W7Etne0YOOzJz2J6ZzZ8797EpLYspq7cwZfUWPA47SXExRDnsRDntRDkc1Ijx0KtuTfrUr0mDShX0+04kTGEVbDVr1mTnzp1FlUWkTAsu/Y3Q+uXgicLZ/2qr4xQr0zTZlpHN4p37WJyyl13ZeTjtBi67HZfdhjcQ5Lfte1iSuo9jrcm2GQZn1KnBBU2SuKBJHTUKkVLF3vEMbPWaEtq8Fv93k3BdOMzqSCKFZhgG7RKq0C6hymHfN02Tv1L3MWX1Fj5fvZmNBzJZv/9/m8p9umozAPXiY+lVL4FKHjch08TEJGTmX4DrWLMKnWpWpUZsVEm8JZFSK6yCbcCAAfz4449FlaVIpaWl8eSTTzJz5kz27t3LoVv1KleuTI8ePXjkkUeoUaPGMc/x559/MmbMGFasWEFOTg4AdrudWrVqMWzYMK655hrsdi29ksLxf5Z/r6fznMsw4ipZmyUYYk9OHlEOO3FuJ/aDM+WmabI3x0tyWibJBzLZlZ1LrMtJnNtJvNtFBZeTnVk5rN6bzpp96azem87u7FyinA5iDj6cdhur9qaxOzuvUFmaVomjZ90EmlaJx2W34bTlPyq4nfSsm0BVtZuWUsowDJyDh+F98U78U8erYJMywTAMOtasSseaVXmyVwfW7ktnT46XXH+A3ECQvECQdfszmL0phd+372FzehbvL91wzHMmxcXQtkYl7IaBLxjCFwzhD4WoHOWmWZX4/EfVeOrExeALhsj2B8g5OF7lKBf14mOJ0bJMKcPCajqSnp7OueeeS9u2bbn//vupU6dOREx7B4NBOnfuzIABA7jllluoXLlyQa709HQ++OADxo4dy7Jly4iOjj7iOf78808uvvhiXnvtNXr37o3b7QYgFAqxfv167r33Xho1asTzzz9f6FyR0nTEHwyxfPcBUrNz2ZWVS2p2LqlZuRzI81E12k1CTBQJsVHUiInCFwyx6+Dzu7JzyfIFqB7jISE2ioSDS9OyfAFSs3LZmZVDanYu3kCIGrEeasTkH1Mlyk2a10dqVv55UrNzMc38+45qxkZRMzaaylEu9uf62JWdP87u7DwcNhs1YvLPUyPWQ6zTye6cvPxxsvKbTkQ77STERFHjYB6Pw86enLyDjSny2JfjJc7tzF9CF+0puIq36+Drd2Xnkpbno3KU++B7zh8vEDILsqRm/fO+a8b+82eT5QuwIzOblMxcdmTmkO3357/ng1mqxXhIz/ORmp1LZso2bnvyApxBP6/d/B6+Ju2pGu0mzuVib24eO7Ny2ZmZ/+dnYByWJc7tZHd2XsF/p13ZubjsdqpEuakc5aJKlAeHzWBHZk7BIzUrlyiHncpRbqpEuakS7SYYyp/12paRTWpW7mEzWzFOB/EeFxleH1m+QJH8PbMbBq2rV+KUmlWoX7ECgVD+L2FfKIRpmnRIqEKPugkkVjjy/4MiZYGaj0h5luXz88vWXfy2fTe+YAibYWAzDAxgW0Y2i3buZc3e9GOutCis6jEe6sXHUjXaQ7bPT5Y/QJbPT44/SNVoN0lxMdSuEENSXDRRTgcHcr0cyPNxIM9Htj9A9WgPteOiqVUhmloVYjCAvbl57Mv1sjfHS44/QI2YQ59b8n/X+4Ih9uZ42Zubx94cL75gkOox//z+rhrtJtsXyD9Hrpe9OXmETLPgc0JCbBSVo9zsz/UWfK5JzcrFYcv/HHDouHiPiwO5Pvbk5LE3Jz+Tx2GneoyHatH5D5fdVvBZYWdWLnuy84j3OEmMzX9PNWKjsBsGB/L++Ty2L9dLRY/rsLwmFHw23JmVS3qej2rRnoOf2aKpEu3GFwwWnGNnVm7Bn82hzJWj8t93SlYOKQc/l/iDocM+91WJdpOe52NXdh67s3PZnZOHzTAKbnuoEeOhgsvJnpz8z0gpBz/buB32gj//mrHRxDgd7M3J/8y3Ozv/zybG6Sj4s6ke48FhsxW8p0Of65pXrUiPuglF8DcvPCXSJbJ9+/asXbuWvLw8DMPAbrfj8Rz9anjDhg1ZsmTJyQ5XaFOmTGHSpElMnTr1qMfcdttt1K9fn1GjRh3x+fPPP5/hw4fTv3//Iz6fnZ1NixYtWLhw4XFn6g6JlIJtf66XKi9Msmz88uiBVV9y3+pvWFC5IWf1etDqOED+csPQEf73N4BaBzuBJcRGkeMPkOH1k+71keH1Uy3aQ7Mq8TSvmn/Fs1aFGPICQXL8AbL9AXL9ARpWqkDbGpWJUhcxEXIfuILAzIk4B9+A56G3rI4jElEyvD6WpO5n9d40bIaBy27DZbfjsBmkZuWydl8Ga/blr+pIyczB47ATfXBFh8dhZ3d27mGdgssrA457i4HdMPAfY79km2FgmuYxz2M3jKM2APv3eY70+SKS3NSxGa/3PdXqGCXTJfK2225j69athT6+bt264QxXaMuXL6dXr2N34OvTpw9fffXVSZ8jJiaGjh07snbt2kIXbJGiksdFnbgYqkS7C2bBEmKjqOhxsa/gKk/+FQiX3XbYrFGMy5F/BedfVypiXU4S/nXVye2wFxyzKzuXvbleKrpdBVdWEg7Ocu08OCu3MzOX/XleKnvc1PjXzJL/4OzeroNt3LN8+VfAasZGF8xA5QaCBVlSs3LJDQSoHv1PU4rKHjeZPj+7D86m7crOw8TMn5U7OHNX0e1if57v4Kxb/rmctvz3XePglbLYgqs8OQXjxbqc1KoQXXD16r//bPbk5BHvdlHbbePW734BIHvwCP6vRZv8q2S5XtLzfFSJdpMYG11w1SlkmgVZd2XnkuH1589q/mvm0x8KsS/Xy76DV9r8oRC1KsRQq0J+2+WaFaLJ9edf1Tv0MMhfdlInPoakuBiqRXvwh0Kk5+UXY+leHzFOB/UqxuJxqNASKSrOwcMIzJz4T/ORWG3rInJInNtFj7oJhZrtME3ziCu50vK8bErLYlNaFml5PmJdDmJdTmKdDtwHV95sz8hmW0YO2zKy8QaDVPK4qORxU8njItqZ//t7e2Z2fnOVjBxsRv59dlWjPVSJchPlzP9sUzDbk52Lx2GnapSHqtH5xzltxsHPG/kzXftzvUQ7HVQ9eJ6q0fmrtQ59xtqdnYdJfrF1aPXSoVU+h1YuHcjzFbzPSh5XwXnyAsH81UTZefhDIUzyC6VDnxeqRXtI9/pIycxhZ1YuQdMsKKIqR+Wvpqoc5eJAXv7qpr053oLn7YZRsHIp3u1k78HPhnty8gqKNZfdVvCZLtrhYHdOXsGs3aHzxLnzZ/gSK0TjtBmHzf4dKucOzfBVi/ZgmhR8/sn05Rfhh95TzYN5fMEQOw9+ztqf6y3IW+3gSqoqUW5yAoGCP5tsf/6qIY/DXvD5MiE2itbVK57IX1PLhfWp7JprrimqHEVq+/bttGnT5pjHJCYmHrPYTE9PJzY2NqxzRCrDMNhy28VWxyg3/F+9R172AYyEJAYMv50LIqgYctntVIuxUy1G94mJFBd7xzOw1W9GaNOa/OYjFw23OpJIqXS0224qety0T3DT/r8apFgtGAoV3CN+JIFQiAyvnzi3E8dRjvMGgmR4/VT0uHDa//cY0zRJ9/rICwSpGu054nmCoVBBYVcjJuqIW98curfdbhhUjXYfMfe/73+v6HEd8b+HLxhk78HbUY623YM/GCItz0e8x4nrKL0gcg+u7qkS7T7mn022P0BFj+uonaKzfX6CpkkFlzMibts6WZHzybEIBYPB4zYDcTgcBALh3atzvHN4vV68Xm/B1xkZ/9tFSco20zTxTXwZANelt2JEULEmIiWjoPnIC3fgnzoe54XDSvUHBxEpnGMVawAOm43KUe5jHuN22Kl2jL1FDcOgoufY57DbbNQ8zv3iTrvtuPeUF+YYl91eqPMc70JxlNNx3Nsq3A77cfddLSvNaLSJWjF66qmniI+PL3gkJSVZHUlKWHDRTwdb+UfjHHS91XFExCLO868Cl5vQmiWEVi22Oo6IiJQi5aJgW7t2LQ0aNGDdunUnfY6nn36aAQMGnNBr7r//ftLT0wse27ZtO+nxpXTyffISAM4LrrG8lb+IWMeoWAVHn4sA8E9V4xERESm8IlmftX79eubPn09ycjLp6elHPa5evXrccccdRTHkCWnatCnJyclhneO+++474de43e6C7QCk/AltWU9w3jQAXJfdZnEaEbGac/AwAjM+wf/dJNx3vKDmIyIiUihhF2x33303r7zyCoFAAI/Hg9frpWrVqkRHRxMIBNixYweGYVC7dm0aN25cIgVbYe5PCwQCOMK8n6goziFll2/SqwDYu/fDVreJxWlExGr2Dt3VfERERE5YWEsiv/zyS1544QVGjhzJ7t27Wbt2LaZp8v7777Np0ya2bdvGypUr6dSpE71792b27NlFlfuYateuTWpq6jGPSUlJoU6dOkd9vmLFimRlZYV1Dim/zMw0/N+8D4DriiPv9Sci5cuh5iMA/qnjCWMbVBERKUfCKtjGjh3L6aefzrPPPkvVqlWxHaEbTvPmzfn666+ZOHHiMfc9K0qtW7dmzpw5xzxmzpw5tG7d+qTPkZ2dzZ9//knTpk1POqeUTaGULeSMOBtys7E1aoW985lWRxKRCOE8/ypwug42H/nT6jgiIlIKhFWwJScn07179+MeV6NGDfr27ct7770XznCFNnDgQLZv387o0aPZt2/fYVcxMzIyGDt2LNOnT2fYsGFHPcejjz7KyJEjmT59+mGt+UOhEBs2bOA///kPF110UanbNFuKV+C378m+vAOhlYsgvjLu/3tT7btFpMBhzUe+UPMRERE5vrAKtm3btpGQcPyd6QFatGjB4sUl08rYbrcze/ZscnNz6dGjB4mJiSQkJJCQkEDnzp1ZsWIF8+fPJyYmBoC5c+fSqFGjw/ZJa9++PV988QXjx4+nefPmBa+vXbs2l112GX379uXZZ58tkfcjkc8MhfCOH0PuLX0hfT+25h2JmfgnjnbdrI4mIhHGeWH+vWv+mRMxs7Q/p4iIHFtYHTNM0zzuBtWHVKtWjb1794Yz3AmJj4/n2WefLVRR1bNnTzZs2PA/32/fvj3ffPNNccSzlOnNI3fE2f/+zr/+1fzXvx75+xTFfRcnOut0gsef1KzWCb7GzMvBzMmC7EzM7AzIzQbyP4y5734Zw33sTSFFpHxS8xERCZdpmvmfP/btIrR/F2baXsjKwMzOf5CdiRnwQygIwWD+P0Ohgq/N//r638+bR3lN/nNHfg2hIGYwCGbon+f+/fWhz46G8V8P2+Ff8+9/BwJ+CPjz30vAn38emy3/dbb81xr/+ncMG2AezBXCNPP/yaF/hkKAiXPg9XjufdWi/3onLqyCLSoqitzc3EId63Q6CQaD4QwnRSUUIrjkF6tTlD1RMXjuex3ngKutTiIiEexQ8xHvC3fg/+ItFWwiclxmXi7BP38mMH8GwQU/EErZDN48q2NFhJOaRvD7ijpGsQqrYKtRowa7d+8u+Do6OhrgiEVcXl4eHo9mHCKC04XnuSmHf++/Z5eO+XW492Sd4P9aJzqjdzIzgCcxhuGJgugKGDEVMKIrYFSriREVc+Jji0i54zz/Kryv3kdo9V8EVy7G3vIUqyOJSAQKrl+Od+z9BBf9CHlHmCSJjsWoUgOjYlWM2HiMmDiMmDiIqQAOJ4bNDnY72Oz5s1D/+tqw2/NnpAqe/+cY4yivwWY7/Jz/dQ7j0Gv+55y2/M9a/35gHv17oVD++3M4wenKfy8OZ/7n0UPPm6H8GT/T/GcGzQz9a/bt4Azcv2fkDs3KRVcoyf+MYQurYOvQoQPfffcdTz31FDabjUqVKhEXF8fatWv/59i1a9dSr169cIaTImI4HDj7XGh1DBGRcutQ85HAzIn4v3hLBZuI/A8zN4fc2/tj7twCgFG9Fo7Tz8PerS/2pu0wKtfAiIq2OKWUhLCajtxwww0sX76c/v37s3DhQgAGDRrESy+9xJQpU9i6dSubNm3i/fff5+OPP2bQoEFFElpERKS0O6z5SHamxWlEJNL43nsSc+cWjIQkoj9dSsx32/A89BbOMwdhq1VfxVo5Yphh7tz57rvv8vjjj1OvXj1++ukndu3axZAhQ5g3b15B4wfTNLnggguYMGFCQWfG8igjI4P4+HjS09OJi4uzOo6IiFjINE1yBjcntHkt7v97U/eyiUiB0JZ1ZF/cGvw+PC98gfNMTXqURYWtDcIu2A4JBoOHdYxcvnw5GzduxG6306RJE20wjQo2ERE5nO/jF/G+eCe25h2ImaiNtEUk/2JO7oizCS6Yjb1bX6LGTteermVUiRdscnwq2ERE5N/MtH1knZ0Ifh/RExbpXjYRwT/rM/LuHQIuNzFTVmJLamh1JCkmha0NwrqHTURERE7eoeYjAP4v3rI4jYhYzczOxPv8KABc196vYk0AFWwiIiKWcg4eBqj5iIiAd/wYzD0pGEkNcQ291+o4EiFUsImIiFjI3vEMbPWaQm42/pkTrY4jIhYJ7dyKf+LLAHjuGYvh1v7Fkk8Fm4iIiIUMw/hnlk3LIkXKLf8Xb0MwiP2UnjhO72t1HIkgKthEREQs5ux/NThdhFb/RXCVukWKlDem34//q3cBcF48wuI0EmlUsImIiFjssOYjU8dbnEZESlrgl2mYe3diVK6Oo9dAq+NIhFHBJiIiEgHUfESk/PJPeRMA5wXXYjhdFqeRSKOCTUREJAIc1nzku0lWxxGREhLankzw91kAOAffYHEaiUQq2ERERCLAYc1HtCxSpNzwT81vNmQ/7WxstRtYnEYiUZEUbIFAgDVr1jBz5kw++ugjPvvsM3w+HwC//vor27dvL4phREREyjTH+Vep+YhIOWL6ffi/eR8A50U3WpxGIlXYBdu0adNo3rw5LVu2pF+/fgwdOpTLLruMn3/+GYCrrrqKunXrMnz4cEKhUNiBRUREyipbpar/NB9Ri3+RMi/w01eY+3djVK2Jo/v5VseRCBVWwbZ8+XIGDRpE/fr1+e6779iwYQPLly/HNE38fj8AS5Ys4ZlnnuGdd97hgw8+KIrMIiIiZZaaj4iUHwXNRgZeh+F0WpxGIlVYBduYMWNo1KgRM2bM4KyzzqJBgwZUrFjxsGPi4uK466676Nu3Lx9++GE4w4mIiJR5Bc1HcrLUfESkDAttWUdw0U9gs6nZiBxTWAXbypUrOf/883E4HMc9tkuXLmzcuDGc4URERMq8w5uPaFmkSFnlO9RspFtfbDXrWJxGIllYBVtycjK1atUq1LHx8fHs3r07nOFERETKhX+aj/yp5iMiZZDpzStoNuK6cLjFaSTShVWw+f1+XK7Cbe5nt9sJBoPhDCciIlIuqPmISNkWmDMV0vdjJCRhP/08q+NIhAu7S6RpmkV6nIiIiKj5iEhZ5p+Sv9eic+D1GHa7xWkk0oVVsFWtWpX9+/cX6tj09HSqVKkSznAiIiLlhpqPiJRNwY0rCS75Bex2nIOuszqOlAJhFWwNGjRgzZo1hTp2w4YN1K9fP5zhREREyg01HxEpmw79/+w4oz+26oXrBSHlW1gFW//+/fnss88KNsk+mmXLljF58mQGDBgQznAiIiLlipqPiJQtZm4O/mkfAeBUsxEppOP34z+Gu+66iylTpnDmmWfSpUsXGjZsWNDi/4033uCrr75i69at/Pjjj7Ro0YI777yzSEKLiIiUB7ZKVXH0vpDAd5Pwf/EW9hbjrY4kImEI/PAZZKZhJNbDftrZVseRUiKsGTa3282iRYt4+eWXSUhIYPny5cydO5e6deuyYsUKFixYQFRUFM8//zyLFi3C4/EUVW4REZFy4dBVeDUfESn9fIeajQwehmELu/eflBOGqfaNJSYjI4P4+HjS09OJi4uzOo6IiJQCpmmSPagZ5pZ1uB8cj+vCYVZHEpGTEFy7lJxL24HDQczMbdiqJlgdSSxW2NpApb2IiEgEMwwDl5qPiJR6/qn5s2uOngNVrMkJCatg27NnD3l5eUWVRURERI7A0f9qNR8RKcXM3Gz8MyYA4LzoRovTSGkTVsHWr18/6tWrx/PPP09WVlZRZRIREZF/OdR8BMD/hWbZREqbwPefQnYmRlJD7J16WR1HSpmwCraPP/6YXr16ce+991KvXj0ef/xx0tLSiiiaiIiIHOI8eO+amo+IlD6+gxdanINuULMROWFh/Y1p2rQpkyZNYvXq1fTv358xY8ZQr149HnroIfbt21dUGUVERMo9e8ceGHWbQE4W/u8nWx1HRAopuH45oeULwOHAOWCo1XGkFCqSEr9Jkya8//77rF+/nssuu4znnnuOunXrcvfdd5OamloUQ4iIiJRrhzUfmaL92ERKC/8XbwPgOGMAtio1LE4jpVGRzsnWq1ePN954g+TkZK6//nrGjRtH/fr1ufXWW9m6dWtRDiUiIlLuqPmISOli5uXin/4x8M+yZpETVSyLaBMTE3n55ZfZtGkTt99+Ox9++CGNGzfm3nvvLY7hREREyoXDm4+8bXEaETmewOwpkJmGUbMu9lPPsjqOlFLFetdj9erVueGGG+jXrx9+v58JEyYU53AiIiJl3j/NRz5R8xGRCHfowopz0PVqNiInrdj+5ixYsICLLrqIpk2bMmPGDO68804WLVpUXMOJiIiUC2o+IlI6BJNXE1zyC9hsOC+4xuo4UooVacFmmibffPMN3bt3p2vXrixYsICnn36abdu28dxzz5GYmFiUw4mIiJQ7aj4iUjr4v3wHAEf387FVr2VxGinNiqRg83q9vPXWWzRv3pyBAweSkZHBBx98QHJyMnfddRdxcXFFMYyIiIig5iMikc70eQlM+xAA5+AbLE4jpV1YBdv+/ft57LHHqFOnDjfeeCNJSUl89913LF26lCuvvBKn01lUOUVEROQgNR8RiWyBH7/ETNuHUb0W9q7nWh1HSrmwCrZ+/frx6KOPctZZZ/HXX3/xww8/cPbZZxdVNhERETkKNR8RiVz+z98AwDnwOgyHw+I0UtqF9TforbfeomLFiiQlJRVVHhERESmEQ81HzC3r8H8/GZeWXYlEhODGlQT/mgd2u/ZekyIR1gxb69atVayJiIhY4LDmI1PfsjiNiBzi//xNABw9BqjZiBQJbQghIiJSShU0H1m1WM1HRCKAmZOF/1CzkYtHWJxGyopCL4k888wzmTdvHsOGDWPcuHEAfPDBB2zdurXQg9WpU4ehQ4eecEgRERH5X7ZKVXH0uYjAzIn4PnudqEfeszqSSLnmnzkRsjMxkhph79zb6jhSRhS6YFu4cCGhUIiFCxcWfO+1115j48aNhR6sUaNGKthERESKkGvILQRmTiTw3STMkc9hVKxidSSRcsk0zYJmI66LbsSwaSGbFI1CF2xffvklf/zxB+edd17B9xYvXlwsoURERKRwbG1Oxda8A6HVf+H/+j1cV99tdSSRcim0fAGhtX+D24NzwFCr40gZUujS/6yzzuKhhx6iY8eOxZlHREREToBhGLiG3AKA77NxmMGgxYlEyiffwdk1x9lDNNMtRUpztSIiIqWc45xLIb4yZspmgvNnWB1HpNwx0/YRmPUpAC41G5EiFlbBtnHjRvx+f6GO9fl8J3S/m4iIiBSO4YnCOfA6AHyfvmZxGpHyx//N++DzYmvWHlurzlbHkTImrIKtTZs2TJgwoVDHfvjhh1pOKSIiUkxcF48AwyD4+yxCm9daHUek3DBDIXxT8vdec148AsMwLE4kZU1YBVtubi65ubmFOnbTpk1Urlw5nOFERETkKGy16mPvfj6Qfy+biJSM4O+zMLdthNh4nH0vtzqOlEElcg+baZrMmjWLJk2alMRwIiIi5ZLr0vzmI/5vP8DMzrQ4jUj5cOgCiXPAUIyoGIvTSFlU6Lb+hxw4cADTNAu+zs7OZv/+/Uc8Nicnh23btvHqq6+yZMkSfvzxx5NPKiIiIsdk79IHo24TzC3r8E+fgOsSNT8QKU6hlM0Ef5kGqNmIFJ8TmmF7++23qVKlCtWqVaNatWoA3HfffQVf//ejbt26dOvWjR9++IE333yTHj16FMubEBERETBsNlyX3AyA/9PXDrvAKiJFzz9lPJgm9i59sNVranUcKaNOaIbtggsuwO12Y5ompmly7bXXcsUVV9C7d+8jHh8bG0u9evVo1qwZMTGaIhYRESluzv5X433tAULJqwgunoujUy+rI4mUSaY3D/+X7wDgvOQmi9NIWXZCBVv16tW56qqrCr6+9tprOfXUU7n66quLPJiIiIicOKNCPM7zr8L/+Rv4P31dBZtIMQnMnoKZthejRm0cZ/S3Oo6UYWE1Hbnuuus49dRTiypLkcnNzeWpp56iffv2JCYmkpCQQEJCAk2aNOGKK64o1H5wXq+Xhx56iEaNGhW8PiEhgcTERE499VSmTZtWAu9ERETkxDmH5C+LDMz9ilDqNovTiJRNvk9fB8B54XAMxwm3hRAptLD+dr399ttFlaNIXXbZZdSsWZNp06aRmJhYsB9GdnY2U6dOpVevXvzxxx8kJiYe9RxPP/0069evZ+HChYdtR2CaJitWrODiiy+mdu3atGvXrrjfjoiIyAmxN2yJvVMvgot+wj91PO6bH7c6kkiZElz9F6Hlf4DDiXPQ9VbHkTKuRNr6l6TFixezfft2Xn/9dWrVqnXY5oUxMTFcddVVjBw5kmeeeeaY55kxYwZjxoz5n73jDMOgdevWjBo1ikmTJhXLexAREQmX81DzkalvYfq8FqcRKVv8B1v5O3pfiK1qgsVppKwrkvnbUCjEli1bSE5OJj09/ajHHVpOWJyWL19Oz549sdmOXov26dOHkSNHHvM8V1xxBQ0bNjzq80lJSfz8888nG1NERKRYOXpegFGjNuau7QR++Bxnv/9YHUmkTDAzDuD/biLwz/JjkeIUdsH27bffMnLkSDZv3nzY9w+1Ej40w2WaJjVq1GDnzp3hDnlM27dvp2bNmsc8JjExka1btx7zmNtuu+2Yz69YsYJGjRqdcD4REZGSYDgcOC+6Ed/rD+L79DUVbCJFxP/NB5CXi61xG+ztulkdR8qBsJZE/v333wwcOJCaNWvy6aef8vXXX2OaJu+88w6bNm1i/fr1vPbaa1StWpUHH3yQNWvWFFXuowoGg9jt9mMe43A4CAQCJz3GH3/8wdixYxk6dOgxj/N6vWRkZBz2EBERKSnOwTeA00Vo+QKCKxdZHUek1DNDIXwHl0M6L7npsFtvRIpLWAXbY489Rv369fnpp5+46KKLaN++PQA1atSgbt26NGzYkBEjRvDtt9/y1FNP/c8sXGFNmDCBihUrHvMxYcKEcN5KoeTm5nL33XczaNAgPv74Yxo0aHDM45966ini4+MLHklJScWeUURE5BBb5eo4zr4E+KejnYicvOCC2ZjbNkBsHM7zrrA6jpQTYRVsK1euZODAgTidzmMe17lzZ0499VRefvnlkxrnP//5D2lpacd8/Oc/R17qkZ6eTqNGjZg7d+5JjX3IrFmzaNeuHbt27WLJkiX07NnzuK+5//77SU9PL3hs26bWyiIiUrJcQ24BIPD9ZEL791icRqR08x9q5X/+1RjRsRankfIirHvYNm/eTK1atQp17GmnncaUKVPCGe6kxMfHs2HDhpN+/YEDB7jxxhtZt24d7733Ht26FX6tstvtxu12n/TYIiIi4bK16oytxSmEVi3G/9W7uK+9z+pIIqVSKGULgV/y9+F1XnKTxWmkPAlrhs3n8xW6IKlWrRqpqanhDFcohbk/LRAI4CjEBofr16+nW7dutGrVisWLF59QsSYiIhIJDMMomGXzf/4GZjBocSKR0sk/dTyEQtg7n4m9fjOr40g5ElbB5nQ68fv9hTo2Ojoar7f494GpXbv2cQvDlJQU6tSpc8xj/H4/gwYNYvTo0Tz00EPHbWQiIiISqRznDMGoWAUzdSuBedOsjiNS6pg+L/4v3wH+2eNQpKSEVbBVr16dAwcOFHx9aNbqSEVcIBAokaKndevW/PTTT4RCoaMeM2fOHFq3bn3M83z00Ue0aNGCIUOGFHVEERGREmW4PTgHXg+A/9PXLE4jUvoEZk/BPLAHo3otHD0GWB1HypmwCrZGjRrx+++/F3xdvXp13G43KSkp/3NsSkpKiXRJ7NixI3Xr1mXEiBHs2LGjYD84gJycHCZMmMBLL73Evffee8zz/Pnnn/Tr16+444qIiJQI58U3gs1GcMFsgsmrrY4jUqoc6rLqvHA4RiFuqxEpSmEVbJdddhk//PADTz/9NJmZmRiGwWmnnca4ceMO2yB7w4YNfPTRRyV2D9jEiROpV68e/fr1IzExkYSEBBISEmjbti0zZszgp59+IjExseD4tWvX0qBBA9atW1fwvf379zNq1KiC1x7pccYZZ5TI+xEREQmXLbEejjP6A+A/uI+UiBxfcM0SQst+B4cjf29DkRJmmP+egjpBoVCIoUOHMmHCBE4//XTmzZvHX3/9xdlnn01GRga1a9cmGAyyY8cOatasyfz586lbt25R5i9VMjIyiI+PJz09nbi4OKvjiIhIORP4Yza5I86C6Fhiv9+BEavfRSLHkzfmevxfvYvj7CFEPTPZ6jhShhS2NgirYDtk8+bN5OTk0KJFCwD27dvHJ598QnJyMna7nSZNmnDFFVcQG1u+96tQwSYiIlYyTZOcwc0JbV6L+77XcA1R8wSRYwnt30N23yTweYl6dx6ODt2tjiRlSIkWbFI4KthERMRqvsmv4X3mVmz1mxE9dRWGYVgdSSRied95At/rD2Jr3pHoTxbp/xcpUoWtDcK6h01ERERKF+f5V0F0LKFNawgu/NHqOCIRy/T78B9sNuK6YqSKNbFMiRVse/fuZdo07f0iIiJiJSM2Dmf/qwG1+Bc5lsCszzD37sSoWhPH2ZdYHUfKsRIr2CZNmsRll11WUsOJiIjIURza+Dfw8zeEdm61OI1I5DFNE98nLwHgHHIzhtNlcSIpz0qsYFu5ciW1a9cuqeFERETkKOwNmmPv3BtCIfxT3rQ6jkjECS6ZT2j1X+D24LxwuNVxpJwr1M5/CxYsYMeOHSc1gNfrZdmyZXzwwQfcf//9J3UOERERKVrOITcTXDgH/xdv4xr2MIbbY3UkkYjh/+RlAJz9rsRWqaq1YaTcK1TBdsEFF7B79+6THiQ6Opobb7yRe++996TPISIiIkXHcUZ/jIQkzNRtBGZ9hrP/VVZHEokIoR2bCMz9CgDn5bdbG0aEQhZs69at48CBAyc1QFRUFNWrVz+p14qIiEjxMBwOnBeNwPfaA/g+fU0Fm8hBvkljIRTCfupZ2Bu2tDqOSOEKtri4OO0bJiIiUsY4B12Pb/wjhFYuIrhiIfZWna2OJGIpMysD/1fvAOC6YpTFaUTyaR82ERGRcspWuRqOcy4F8jfUFinv/N98ANmZ2Oo1xd71HKvjiAAq2ERERMo116W3ABCY9Smh/Sd/v7pIaWcGg/gmvQKA87LbMWz6mCyRQX8TRUREyjF7y07YWnUGvw//l+9YHUfEMoF50zC3J0NcJd3TKREl7IItJyeHRx55hFNPPZUaNWpgt9uJiYnh77//BqB9+/acffbZzJ07N9yhREREpBi4huTPsvk/fwPT77c4jYg1/BNfBsA1eBhGVIy1YUT+JayCLTs7mzZt2vD000/TsGFDhg8fzoMPPkhubi4pKSkA3H333ezfv59zzz2XRYsWFUloERERKTqOsy7GqFwdc9d2ArOnWB1HpMQF1/5NcPFcsNtxDrnZ6jgihwmrYHvyySfZuXMny5Yt45NPPuHRRx9l2LBhhx1z+eWXM3/+fOrVq8err74aVlgREREpeobbg/OS/A+pvo9fwDRNixOJlCzfwY2yHX0uxpaQZG0Ykf8SVsH2ww8/cNlll9GkSZNjHufxeOjfvz9//PFHOMOJiIhIMXFePALcHkKr/yT45zyr44iUmNDeVALfTQLAdcVIa8OIHEFYBduGDRto2LBhoY5NSEggNTU1nOFERESkmNgqV8N5/tVA/iybSHnh//wN8PuwtTkNe+suVscR+R9hFWxpaWnEx8cX6liPx0NOTk44w4mIiEgxcv0nf6Pg4LxvCW1ea3EakeJnevPyCzY0uyaRS239RUREBCB/s+Az+gPgm/CSxWlEil/gu0mYB/ZgJCThOHOw1XFEjiisgs3j8ZCbm1uoY71eLx6PJ5zhREREpJi5rrwTAP+0Dwnt32NxGpHiY5omvk/yL0y4Lr0Vw+GwOJHIkYVVsDVo0IDt27cX6tidO3dSt27dcIYTERGRYmbveAa25h3hX0vFRMqi4KKfCK1fDp5onIOutzqOyFGFVbC1bduWKVOmHHeWLRAI8OWXX9K+fftwhhMREZFiZhjGP7Nsn72O6c2zOJFI8TjUyt85YChGXCVrw4gcQ1gF2yOPPMLu3bvp3Lkzb7/9NnPmzGHZsmVAfgfJ3377jcmTJ9OrVy+2bdvGI488UhSZRUREpBg5+lyEkZCEuX83/hmfWB1HpMiFtqwn+Ms0AFyX325xGpFjC2uxbuPGjfnpp5+49dZbGT58+GHPjRw5suDf27Vrx48//kjjxo3DGU5ERERKgOF04rrsdrwv3YV/wos4B16LYRhWxxIpMr5Jr4JpYu/eD1vdY+8nLGI1wzRNsyhOlJGRQXJyMunp6QXfi4uLo0GDBoVu/V/WZWRkEB8fT3p6OnFxcVbHEREROSozM52svkmQnUnU2Bk4Tu9rdSSRImFmppF1Tm3IzSbqjR9wnNrH6khSThW2NiiydjhxcXG0a9euqE4nIiIiFjIqxOMcdAP+CS/i+/gFFWxSZvi/fBdys7E1aoW9S2+r44gcl/ZhExERkSNyXX472O0EF84huPZvq+OIhM0MBPKXQwLOy0dqqa+UCiVasAWDwZIcTkRERMJgq1kHR5+LAfB9/KLFaUTCF/jpK8zUrRgVq+Lse7nVcUQK5YSXRC5btoy5c+eybt06vF4vSUlJdOjQgfPPP/+or1m0aBE33HADLVq0YOLEiWEFFhERkZLjuvJOAt9PJvD9JEK3PYWtei2rI4mctEMbZTsvHoHhibI4jUjhnNAM26hRo+jQoQP33HMPP/zwAwsWLODll19mwIABdOjQgX379h12fHZ2NqNGjeK0004jEAhw1113FWl4ERERKV72lqdgb98dAgH8k8ZaHUfkpAX+nEdo6W/gdOG8eITVcUQKrdAF2+eff84rr7zCY489RmZmJmvXrmXZsmXs37+fOXPmkJKSwrXXXltw/MyZM2nZsiXjxo3j4YcfZsmSJXTo0KFY3oSIiIgUH+fBjbR9U8dj5mRZnEbk5PjefgwA5wXXYqtW0+I0IoVX6IJt3Lhx9O7dm/vvvx+n03nYc7169WL06NHMmDGDNWvWcPnll9OvXz9q1ar1/+3deVxUZfsG8OvMyiKL5QLDpihqKqX5qmmaS2YL5ZZmrj8rNTfcyiUltzSxUiy3LMtQXHJLS8t6U3zTskXLsihEywVwcAuQZfbn9wdv84rAMChwZobr+/nwB/M853jN3XSYe845z+DEiROYM2dOiW2IiIjIPai6PAEpPAq4ng3z7vfljkNUYdafj8L63ZeASgXNMzPljkNUIU43bKdOnULHjh3LHO/QoQOsVivuvvtu7N27FytXrsSRI0dw1113VUpQIiIikoekUEAzZAoAwLRxKYTZJHMiooox/nN2LWY4FLoImdMQVYzTDdvFixdRr169Msfr1KkDAHjwwQeRkpKCcePGcalUIiIiD6HuNQJSnWAI/fmi77EichPW347B+vVngEIBzbMvyR2HqMIqtOiIowbsn7HY2FiEhobeXioiIiJyKZKXNzTPzQIAmN5bBGE0yJyIyDmmdQsBAKpHh0AR3ljmNEQVxy/OJiIiIqeo+42CFBQGcSkD5p1r5Y5DVC5r6s+wHNoDSJL9Awcid8OGjYiIiJwiabTQjIwDAJjeXwxRWCBzIiLH7GfXHnoKyobNZE5DdGvYsBEREZHT1L2egRTSEOJqFszbVskdh6hM1jMpsBzYCQDQjJwtcxqiW6eqyOT8/Hxcu3at1LF/Hs/NzS1zTq1ataDRaCoYkYiIiFyFpFZDO3oODHOfgemDJVD3HwPJ10/uWEQlmBJfA4SAqntfKKOi5Y5DdMskIYRwZqJarYbNZnM4RwjhcGGSkJAQnD9/vmIJPUhubi4CAgKQk5MDf39/ueMQERHdEmGxIL9/C4hzp6AZvxBanr0gF2PLSkf+4w0BiwU+G76FMrq93JGISnC2N3D6DNv+/fuRnp5+W6G4eiQREZH7k1QqaJ+fC8OsITBteAOageMh+QXKHYvIzrRpOWCxQNmmC5s1cntON2wPPvhgVeYgIiIiN6LqORCKdYtg+zMFph1roX1mhtyRiAAA4no2zLveAQBo/m+6zGmIbh8XHSEiIqIKk5RK+5th85a3IMwmmRMRFTHtWAvkX4eiUQsoOz0qdxyi28aGjYiIiG6J6tFBkOoEQ1zOhGX/VrnjEEGYjDBvXg4A0Ayf5nBtBSJ3wYaNiIiIbomk1kA9aCIAwLRxKZxcx4yoypj3JUFc0UOqFwLVo4PkjkNUKdiwERER0S3T9H8e8PaFLe0XWL/7Uu44VIMJmw3mjW8AADRDpkBS86ukyDOwYSMiIqJbJvnXhrrPcwCKzrIRycX61V7Y/voDqOUPdb9RcschqjRs2IiIiOi2aIZMBhQKWL/5HNa0k3LHoRpICAHj+ngAgKb/WEi1+H235DnYsBEREdFtUYQ0hOrBJwEApqRlMqehmsj6zeew/XIU0HpBPXiS3HGIKhUbNiIiIrptmmEvAAAsn26C7VKmzGmoJhFCwLj6ZQCAuv9YKOoGy5yIqHKxYSMiIqLbpoxuD2Wr+wGLGeatK+SOQzWI9T+fwJZyDPDygebZmXLHIap0bNiIiIioUqiHTwMAmD5cCdu1yzKnoZpA2GwwrpkDANA8HQvFHfVkTkRU+diwERERUaVQde0FxV1tgII8mP67AARRVbIc2AXbqZ8BXz9o/m+a3HGIqgQbNiIiIqoUkiRBO2ERAMC8bRVsWekyJyJPJqxWmN6eCwDQDJ4MKfBOmRMRVQ02bERERFRplB16Qtm6M2AywvTuQrnjkAezfPEhbH+mAH6B0AybKnccoirDho2IiIgqjSRJ0Pxzlm3Pe7Cl/ylzIvJEwmKB8e15AIpWKJX8AmXNQ1SV2LARERFRpVLd2xnKjg8DN7ypJqpMlk+TIM6nQQq8Exp+7xp5ODZsREREVOm044vOslk+TYL1zG8ypyFPIsxmGN9ZAADQjJgByddP5kREVYsNGxEREVU6ZfM2UHXvBwgB0+o5cschD2L+eD1Exl+Q7qwP9VPj5Y5DVOU8tmErLCzE4sWL0bp1a+h0OgQFBSEoKAhNmjTBkCFDcObMmVvet16vR4sWLaDX6ysxMRERkWfRjFsASBIsB3fBmnJc7jjkAYTJCNO6osVsNM++BMnbR+ZERFXPYxu2QYMG4fz589i7dy8yMjKg1+uh1+vx008/4eGHH0a3bt2QmZlZ4f2azWYMHDgQaWlpMBgMVZCciIjIMygbtYDqsSEAAOOqOJnTkCcw73oXQn8BUr0QqJ98Xu44RNXCIxu2Y8eOIT09HatWrUJISAgkSbKP+fr6Yvjw4Zg8eTKWLFlS4X3PnDkTd911F5o3b16ZkYmIiDyS9vl5gEoF6zf7YfnxsNxxyI0JQyFM770KANA8NxuS1kvmRETVwyMbtpMnT6Jr165QKMp+ej169MDJkycrtN9t27bhq6++wvLly28zIRERUc2gCGsEde/nAACmlbMhhJA5Ebkr8/Y1EFcuQgqOgLrvc3LHIao2HtmwpaenIzg42OEcnU6H8+fPO73PlJQUTJs2Ddu3b4eXFz/RISIicpZmVByg0cL602FYj34hdxxyQ6IgD6b18QAAzaiXIak1Miciqj4e2bBZrVYolUqHc1QqFSwWi1P7y83NRf/+/bFmzRo0aNDA6RxGoxG5ubnFfoiIiGoaRf1QqAeMA1B0LxvPslFFmbauhPj7MqSwRlA/PlzuOETVym0atqSkJAQGBjr8SUpKqvR/VwiBZ555BgMGDMBjjz1WoW0XL16MgIAA+09YWFil5yMiInIHmmdfAnxqwZZyDJbk3XLHITdiu3YZpvWLAQDa0XMhqdUyJyKqXm7TsA0dOhTZ2dkOf4YOHVrqtjk5OWjcuDEOHTpU4X/3jTfeQF5eHubMqfh3yLz00kvIycmx/1y4cKHC+yAiIvIEijvqQjN4MgDAtPplCKtV3kDkNkzvzAfycqFo1tq+6ihRTaKSO0B1CAgIwOnTpyu8XXJyMlavXo0ffvih3EssS6PVaqHVaiu8HRERkSfSDH8Bpg9XwnbmN1g+2wz148PkjkQuzvrn7zDveBsAoJ26FJKDBeWIPJVHvuqduT/NYrFApSq7X01PT8fw4cOxdetW1KlTp7IjEhER1TiSXyA0I2YAAIwrXoIozJc5Ebk64/JpgNUKVdfeULXtJnccIll4ZMMWGhoKvV7vcE5mZibCw8PLHE9MTEROTg569+6NoKCgEj8nT55E27Zt8eqrr1Z2fCIiIo+lGTIZkq4BxKUMmN6PlzsOuTDLt1/CengfoFJBO/k1ueMQycYjG7bo6GgkJyfDZrOVOefAgQOIjo4uc3z27NnIzc2FXq8v9ScsLAxpaWmYNWtWVTwFIiIijyRpvaCduhQAYNrwOmwZf8mciFyRsFphXPYCAEA9YBwUEU1kTkQkH49s2Nq0aYOIiAiMHTsWGRkZxZYPLigoQFJSEhISEjBjxgwZUxIREdVMqu59oWzXHTAZYVz2otxxyAWZP/4AtrRfAL9AaEdXfOE3Ik/ikQ0bAGzevBkNGjRATEwMdDqd/VLGe+65B59++imSk5Oh0+ns81NTUxEZGYlTp045tf+6detCzWVliYiIKkySJGinvQkolbAc3AXL9wfljkQuRBTkwbQ6DgCgHT0HUuCdMicikpck+O2V1SY3NxcBAQHIycmBv7+/3HGIiIhkZYiPhfnDlVA0bgmfLT9BcrAYGNUcxtVzYHr3FUhhjeG78zdIao3ckYiqhLO9gceeYSMiIiLXph07H1LgnbCd/hXmnWvljkMuwKa/ANPGNwAA2klL2KwRgQ0bERERyUQKuAOasa8AAIyrX4bI/VvmRCQ348rZgKEQytadoereV+44RC6BDRsRERHJRv3kaCgatwRy/4bxPX5VTk1m/e0YLPs2AgC0LyyDJEkyJyJyDWzYiIiISDaSUgntpKLv2DJveQu2zLPyBiJZCCHsy/irYoZB2eJfMicich1s2IiIiEhWyvsfKVrm32yCcVWc3HFIBpbk3bD++BWg9YJ2wiK54xC5FDZsREREJCtJkqCd/DoAwPLpJlhTjsuciKqTMJtgXD4dAKAZ9iIUQWEyJyJyLWzYiIiISHbKu+6FKmYoAMC4fBr4rUM1h3nrSogLpyHVCYLmmRlyxyFyOWzYiIiIyCVoxy0ENFpYf0iG9chncsehamDLSofx7bkAAM24hZB8asmciMj1sGEjIiIil6DQRUA9aCIAwPjmdAirVeZEVNWMr00CCvKguKcj1L2fkTsOkUtiw0ZEREQuQ/vsS4B/bdjO/AbzznfkjkNVyPLVXlgO7gJUKnjNfhuSgm9LiUrD/zOIiIjIZUj+taEdMx8AYFwxE7ZLGTInoqogCvNhiJ8AANAMnQplVLTMiYhcFxs2IiIicinqp8ZB0bIdkJcL45JYueNQFTC9swDi4jlIwRHQjJ4jdxwil8aGjYiIiFyKpFTCa846QKWC5eBHMB/YJXckqkTWtJMwJS0DAHjNXAnJ21fmRESujQ0bERERuRxlVDQ0I4qWeDfGT4C4ni1vIKoUwmaDYdEYwGKBqntfqB54XO5IRC6PDRsRERG5JM3IOEgRTSCuXITxTX4/lycw734ftp+/AXxqQTvtTbnjELkFNmxERETkkiStF7xefhcAYN75DizH/iNzIrodtmuXYHxzOgBAO3YBFEFhMicicg9s2IiIiMhlqdo8APWTowEAhoWjIYwGmRPRrTImTANy/4aiaSuon+ZiMkTOYsNGRERELk07aQmkOsEQ507BtG6h3HHoFlh+SIZl7wZAkoq+c02lkjsSkdtgw0ZEREQuTfILhHbmSgCA6YMlsKadlDkRVYQwGWF8dSwAQN1/DJTR7WVORORe2LARERGRy1M/2A+q7n0BiwWGBSMhrFa5I5GTTB+8BtvZVEh31oc29lW54xC5HTZsRERE5Ba0M1YCtfxh+/V7mD9cJXcccoLtXBpM7y0CAGhfSIDkFyhvICI3xIaNiIiI3IKing7aSa8BAIwrZ8GWeU7mROSIMJtQOGswYDJC2b4HVI88LXckIrfEho2IiIjchrrfKChbdwYK82FYPA5CCLkjURmMb70EW8oxwL82vOa+B0mS5I5E5JbYsBEREZHbkBQKaF9+B1BrYD3yKcwfrZM7EpXCcngfzEnLAADe8z+AIjhc5kRE7osNGxEREbkVZcNm0Ix7BQBgfG0irKd+kTkR3ch2KQOGOf8HAFAPmghV114yJyJyb2zYiIiIyO1ohr8IZafHAKMBhdMHQORflzsSARBWKwyzhkBkX4WiWWtoJ78mdyQit8eGjYiIiNyOpFDAa0EipPqhEOdOwfDKaN7P5gJM6xbCevw/gE8teMd/CEmjlTsSkdtjw0ZERERuSVG7DrzjPwRUKlg+3wrzjrVyR6rRLCe+humdBQAAr9lvQxERJXMiIs/Aho2IiIjclrJVR2hjFwMAjG9MhvWPn2ROVDOJvFwYZg8FbDaoHh8O9WND5I5E5DHYsBEREZFbUw97AcoHngBMxqL72fJy5Y5U4xjiJ0BknoUU0hBeM1bIHYfIo7BhIyIiIrcmSRK8F3wAKTgC4sIZGBaM5P1s1cj82RZY9m0EFAp4L0yCVMtf7khEHoUNGxEREbk9KeAOeC/5EFCpYfn3dpi3rZY7Uo1gyzwHw6tjAQCaUS9D2aqjzImIPA8bNiIiIvIIyuj29mXkjUunwppyXOZEnk1YrTDEDQPycqCIvg+akXFyRyLySGzYiIiIyGOoB0+CqlsfwGwqup/terbckTyWcfl0WH86XLSE/6IkSCqV3JGIPBIbNiIiIvIYkiTBa977kHQNIDL+gmHes7yfrQqYtr8Nc9IyAIDX3PegCGskcyIiz8WGjYiIiDyK5F8b3q9tK7qf7eBHML09T+5IHsVy9AsYl0wAAGjGL4S651MyJyLybGzYiIiIyOMoW7SFdtYaAIDpnQUwf7JB5kSewXrmNxROHwBYrVA9Phya52bJHYnI47FhIyIiIo+k6fscNM/MBAAYFoyE5dgheQO5OdvVLBTGxgB5uVDe+wC8Xn4HkiTJHYvI47FhIyIiIo+lmbAIqp5PARYzCqf2hfWvP+SO5JZEYT4KJ/eCuHgOUlhjeC/dBUmjlTsWUY3Aho2IiIg8lqRQwGv+B1Dc3QG4no3CiTGwXbssdyy3IiwWFM58GrZfvwcC7oDPin2QAu+UOxZRjcGGjYiIiDya5OUN74Q9kEIjIdL/ROGERyGu58gdyy0IIWCMnwDrV3sBrRd8ln8CRUQTuWMR1Shs2IiIiMjjKe6oC58Vn0IKrAPb78dROOlxiMJ8uWO5PNN7r8K8cy0gSfB6dTOUrTrKHYmoxmHDRkRERDWCokFTeK/5AqgVAOtPR1A4tS+EySh3LJdl/jgRplVxAADt9Leg7t5X5kRENRMbNiIiIqoxlM1aw2fFp4C3L6zf/huGmU9DWCxyx3I55v1bYXhlJABAM2I6NE9PkDkRUc3Fho2IiIhqFGWrjvBO2ANotLAk74Zhzv+xabuBadc6GGYNBiyWou9ai10sdySiGo0NGxEREdU4qvYPwvu17YBSCctnm2GY8RQvjwRgSkqA8ZVRgBBQ9x8Dr/nrISn4dpFITvw/kIiIiGokVZcn4PX6TkCtgeXgRyic+DhEQZ7csWQhhIBx7XwYl04FUHQZpHbWajZrRC6A/xcSERFRjaXu1hveKz8ruqftuy9RMOYhiJxrcseqVsJmg3HpVJjengcA0IxfCM3EeEiSJG8wIgLAho2IiIhqOFW77vBZewDwrw3byW9RMKorbJcy5Y5VLYTZBMPsoTBvWg4A0E57E9qRs9msEbkQNmxERERU4ymj28Pnva8g1QmGLe0kCv7vPlhP/yp3rCol8q+jMDYGlv1bAJUKXouSoBk8Ue5YRHQTNmxEREREAJSNW8Jn/REoGjSF0F9AwTP3w/Ltl3LHqhK2a5dQMKobrN99CXj7wvutfVA/NkTuWERUCjZsRERERP+lCI2EzwffQHnvA0BeLgpjH4V5z3q5Y1Uqy9EvUDC0HWy/H4dUuy583k2GqkNPuWMRURnYsBERERHdQAq4A95rvoDqkUGAxQLDvGdheGOq268gafv7CgrjhqNw3MMQF89BCo2Ez/qvoWzRVu5oROQAGzYiIiKim0gabdE9XSNnAwDMmxKQ37sJzHs3QthsMqerGCEEzJ9uQkG/u2DZtxGQJKgHTYTv1hNQRETJHY+IysGGjYiIiKgUkkIB7fiF8F7+MaSwRhBXLsLw8nAUjOgI68nv5I7nFNu1SzBM6QPD7KEQ2VegaNwSPolH4TX9TUi+fnLHIyInsGEjIiIickDV5Qn47vgNmonxgE8t2E5+h4Lh98GwaCzE9Wy545XJnLwHBf1bwvKfjwGVGppxr8Bn83Eoo9vLHY2IKoANGxEREVE5JI0W2mdmwPejVKgeHw4AMO94G/n9msP85U4IIWRO+D8iLxeFc5+BYWofiL8vQxEVDZ9Nx6AdFQdJrZE7HhFVEBs2IiIiIicp6ung/UoivN85CCk8qugyyWn9YZjSB9YzKbLlEkLA8uNhGOaPRN4jobB8/AEgSdCMmAGfpB+gbHK3bNmI6PZIwpU+EvJwubm5CAgIQE5ODvz9/eWOQ0RERLdBGA0wrVsE0wfxgMUCAFA0bglVz4FQ9xxYLQt62K5dgnnHWpj3JkJcOGN/XNGgKbRz1kHVulOVZyCiW+Nsb+CRDVthYSGWL1+Obdu2ISsrC7b/rubk7++Ptm3bYsGCBWjUqJHDfdhsNqxZswZr1qzB1atXi13q4O3tjcceewwLFy5E7dq1nc7Fho2IiMjzWM/8BtOKWbB8/RlgMdsfV9zVBuq+I6F+dDCkWpX7d992/jRMG5fC/MkHgNFQ9KBPLageGgD1EyOgbN0JkoIXUhG5shrdsPXp0wfBwcGIi4uDTqeDJEkAgPz8fOzcuRNxcXH49ttvodPpytzHhg0b8N577yEpKQlhYWHFxgoKCjBnzhzo9XokJSU5nYsNGxERkecSuX/Dkrwb5i8+hPW7LwGrtWjA2xfqRwZB3W8UFHe1gaRUVmy/QkBkX4U4nwbbuVOwfPUJLAd3Af99C6do2Q6agROgerAfJG/fyn5aRFRFamzDduzYMYwZMwbff/89FGV8srRs2TKcO3cOb775Zpn76dmzJ+bNm4eOHTuWOm6xWBAcHIxLly7ZG8LysGEjIiKqGWzXLsPyaRLMu96B7a8//jegUkPSNYAitBEUYY2gCI6AVFcHqa4Oirq6olUoz6bCdvokbGknYT3zK2xnU4FSVqNUPvA4NMOnQXlvZ6ffixCR63C2N1BVY6ZqcfLkSXTt2rXMZg0AevTogcmTJzvcz9mzZx1eNqlSqfDkk0/CYrFArVbfalwiIiLyQIo76kIzdArUQybD+tMRmHe9A8uBnYChEOJ8Gqzn02Ct4D6loDAowqOgaBwNdb/RUDZqXiXZici1eFzDlp6ejuDgYIdzdDodzp8/73COyWSCVqt1OOftt9+ucD4iIiKqOSRJgurezlDd2xli/gcQlzJgSz8D24UzEOlnYMu6AHHlIsTlTNguZwL51yGFNoKycUsoGkdD0bglFA3vgiK0ESRvH7mfDhHJwOMaNqvVCmU514arVCpY/ruakyMpKSl48803ceLECeTk5AAAFAoFgoOD0a9fP0ydOhXe3t5lbm80GmE0Gu2/5+bmOvksiIiIyNNISiWk4HAogsOBtt1KnSOs1grf40ZEns0tlg9KSkpCYGCgw5+KLP7hrAULFmD69On49ddfodfrodfrkZ6ejt27dyMtLQ1Tp051uP3ixYsREBBg/7l58RIiIiKiG7FZI6KbedyiI/PmzUNgYKD9HrWcnBy0adMG69atQ9euXQEA2dnZaNWqFc6ePVvmfho0aID169ejW7fSPwEzGAwIDw9Heno6NBpNqXNKO8MWFhbGRUeIiIiIiGq4GrvoyM0CAgJw+vTpW9q2WbNmZY55eXmhQYMGOHfuHKKiSv9iTK1WW+59cERERERERGVxi0siK8KZ+9MsFgtUqvJ7VUf3pwGAj48P8vPzK5SPiIiIiIjIWR7XsIWGhkKv1zuck5mZifDwcIdzfH19YTAYHM4pLCyEjw9XbCIiIiIioqrhcQ1bdHQ0kpOTYbPZypxz4MABREdHO9xPZGQk0tLSyhw3mUz466+/EBERcctZiYiIiIiIHPG4hq1NmzaIiIjA2LFjkZGRgRvXVCkoKEBSUhISEhIwY8YMh/sZM2YMpk2bhrS0NNy8Lkt2djamTJmCmJgY3qNGRERERERVxiMXHdm8eTMSEhIQExODrKwse8Pl5+eHtm3bIjk5GTqdzj4/NTUVjz76KPbv348mTZoAAGJiYpCXl4dBgwYhMzOz2Bk7Pz8/9OvXD/Hx8dX7xIiIiIiIqEbxuGX9XZmzS3cSEREREZFnc7Y38LhLIomIiIiIiDwFGzYiIiIiIiIXxYaNiIiIiIjIRbFhIyIiIiIiclFs2IiIiIiIiFwUGzYiIiIiIiIXxYaNiIiIiIjIRbFhIyIiIiIiclFs2IiIiIiIiFwUGzYiIiIiIiIXpZI7QE0ihAAA5ObmypyEiIiIiIjk9E9P8E+PUBY2bNXo+vXrAICwsDCZkxARERERkSu4fv06AgICyhyXRHktHVUam82GzMxM+Pn5QZIkWbPk5uYiLCwMFy5cgL+/v6xZPBVrXLVY36rHGlct1rfqscZVjzWuWqxv1ZOzxkIIXL9+HTqdDgpF2Xeq8QxbNVIoFAgNDZU7RjH+/v48AFQx1rhqsb5VjzWuWqxv1WONqx5rXLVY36onV40dnVn7BxcdISIiIiIiclFs2IiIiIiIiFwUG7YaSqvVYu7cudBqtXJH8ViscdVifasea1y1WN+qxxpXPda4arG+Vc8dasxFR4iIiIiIiFwUz7ARERERERG5KDZsRERERERELooNGxERERERkYtiw0ZEREREROSi2LDVINnZ2Zg+fTqio6MRHByMoKAgBAUFoXnz5hg7diyysrLkjugWkpKS0KpVq2I1DA4ORvPmzbFs2TJYLJZi8w8cOIAePXqgQYMG9vlhYWHo3Lkzdu3aBa774zyr1Yp+/fph+/btxR5njSvmwIED6NSpE0JCQuz1+qdmvXr1QkpKSrH5aWlpGDx4MKKiouxzdTod7r33XixZsgRGo1GmZ+K6srKyMGrUKDRs2LBYjRs2bIghQ4bgwoULxebz+OycvLw8xMTE4N133y32+PHjx9GrVy9ERkbaaxcSEoJ27dph3bp1sFqtJfbF13XpSqtxdnY2JkyYUOL1HBoaiu7du+Obb74psZ/CwkIsXrwYrVu3hk6ns2/TpEkTDBkyBGfOnKnOp+VSynodlyYlJQVRUVElHmd9y1ZafY1GIxYuXIimTZsWew0HBQWhcePGiIuLg8FgKLYfIQR27NiBTp06ITw83D4/IiICDz30EA4dOlR9T0pQjWCxWMS9994r5s2bJ65cuSJsNpt9LDs7Wyxfvlw0atRI5Ofny5jS9SUnJ4sWLVqI1NTUEmN6vV488cQT4q233rI/9tFHH4no6Ghx+PBhYTKZ7I+bzWZx/Phx0alTJ7FixYpqye4JZs2aJTQajVi/fr39Mda4Yk6dOiUiIiLEt99+W+w4IETRceLDDz8UUVFRwmAwCCGEuHDhgggLCxObNm0qdnyw2Wzi/PnzYtSoUeLJJ5+s1ufgDnr27CleeeUVUVhYWOxxs9ks3nvvPdG2bVthtVqFEDw+OysnJ0d06tRJREREiISEBPvjx44dEw0bNhT79u2zv26FEMJqtYo//vhD9O7dW7zwwgvF9sXXdenKqvGIESPE5MmTRV5eXrH5VqtVHD58WDRo0EBkZGQUG+vdu7cYM2aMSE9PL/aazsvLE4mJiSIsLKzENjVBWTUua27z5s2FQqEoMcb6lq6s+s6fP1/0799fXL58ucQ2165dE4MHDxazZ88u9nhCQoLo0qWLOHHihLBYLPbHjUajOHTokGjRooX4+OOPq+y53IgNWw2xfft20a9fP4dzYmNjxbJly6opkXuaPn26ePvtt8sc/+OPP0S7du3sv7do0UL8/PPPZc5PT08XOp2u2IGASrd7927RqlUrMXr06GING2tcMYsWLRKLFi1yOKd79+7i+PHjQgghxo8fX+xDiJtZrVZxzz33iB9//LFSc7qz7OxsER4eXqIhvtH9998vUlJShBA8PjujoKBAtG/fXsyfP1/MnTu32BuxmJgYh2+a8vLyRHh4uNDr9fbH+LouyVGNg4KCREFBQZnbzpw5U6xevdr++w8//CDatGlj/1CiNEuXLhUTJ06slOzuwlGNb2az2US/fv3E4sWLRUBAQLEx1rd0juobFRXlsIE9f/68iI6Otv9uNptFcHCwuHjxYpnbHD9+XNxzzz2VEb1cvCSyhjh58iS6devmcE6PHj1w8uTJakrknjp06ICHHnqozPGwsDD7pU5msxlXrlzB3XffXeb8kJAQ1K9fHxkZGZWe1ZOkpaVh0qRJ2LFjB7y9ve2Ps8YVd/bsWTRq1MjhnD59+kChKPrzUN6xQ6FQoHv37jx23ODSpUsIDg6GJEllzgkNDbUfK3h8Lp8QAlOnTsWcOXNKjJVXP19fX7Rp0wapqalOb1MTX9eOajx9+vRix96b3fi3Dyiqb9euXe3HkdLUxNe0oxrf7I033oDZbMb06dNLjLG+pXNU36ysLAQHB5e5bUhICNq3b2///cKFC/ZLTcty77334uLFiyVuhakKbNhqiPT0dIcvVADQ6XQ4f/58NSVyT3369EFkZGSZ47/++isaN24MANDr9ahbt265+2TdHcvPz8eTTz6Jt956q0SjwRpXnMlkglardTgnNjYWrVq1AsBjx61o2LAhrl27BpvNVuacCxcu2I8lrHH5fHx88NRTT5U6lpOTg1q1ajnc/ub6seYlOarxlClTHG57498+gPUti6Ma3yg5ORnr1q3Dhg0bSm3KWN/SOaqvJEkOP0RTKBTF7nlzpsYAULduXej1+oqHrSA2bDWE1WqFUql0OEelUlXLpwSeKiMjA88//zwmTpwIwLmaA6y7I0IIjB49GjExMejVq1eJcdb41mRnZyM2NhatW7cuduN1ixYtMHr0aGRmZtrn8thRcSqVCu3atcPs2bPx999/F1v0xmg0YuPGjTh79qy9YWONq97N9WPNK8/HH3+M/fv3o2/fvvbHWN9bl56ejhEjRmDr1q0IDAwsdQ7re2u+/vpr9OnTB40aNSq2OFH79u2xZs2aCh8jgOqrs6rK/wUiDyeEQGJiIqZNm4a4uDj0799f7kgeY+XKlbh48SISExPljuJR4uPj8frrr2PJkiXw8fEBUPQ6zsnJQWJiIh555BH8+OOPUKn4J+JWxcXF4b777kN8fDzuuOMOqNVqCCFw5coVqNVqHDx40OHlTESu7u+//8aUKVNw+PBh7N69G7Vr15Y7ktszmUwYMGAA5s6di9atW8sdx6MUFhYiISEB8fHxiIqKsjdjVqsVZ86cweTJk5Gbm4sZM2bInLR0/GtRQ6WmpiIyMhKnTp2SO4pbO3XqFHr27Im1a9fi888/x6RJkxzOHz9+PMaPH19N6dzb119/jaVLl2LLli0VahxY4/INHDgQTzzxhL1ZA4ouFwkMDMSkSZMQGhqKr776qtRtk5KS+EaiHJcvX0avXr3w7rvvIi8vD1evXoVer0dWVhZyc3OxceNGxMfHw2Qylbo9j8+3Jz4+vtQz8o7wde08IQS2bt2Ke+65B7Vr18aPP/7o8D5ioOiy1caNG1fvMuhuaMqUKWjZsiWeffbZCm3H+pbPZDLh9ddfR7NmzYqdOVMqlWjSpAnWr1+P1atXO9xHr169EB8fX9VRS8WPT2uopk2b4s8//5Q7htuyWq1YtGgR1q1bhwULFmD48OFOfVq+atWqakjn/vR6PQYPHozNmzejfv36FdqWNS5fs2bNHI63bNkSZ86cQffu3UuMDR06FEOHDq2qaB5h69at6N27NwYMGFBizNfXFwMGDMB3332H7du3Y8iQISXm8Ph8e2bOnFnhbfi6ds6FCxcwYsQICCHw2WefoUWLFk5tFxAQgNOnT1dxOve2YcMGHD16tNTvtCsP61s+rVaLBg0alDlev359GI1GGI3GMu/z/vjjj6soXfl4hq2GcOYaW4vFwkugnJCXl4e+ffvixIkT+OWXXzBixIhSmzVnr2tm3YuzWCwYOHAgpkyZgvvvv9/hXNb41jha7Q0ounE7Pz8fAI8dt+KPP/4o94xDdHQ0fvjhBwCscXW4uX6secV9//33eOCBBzBw4EAcOHDAYbPG+lbMzz//jJdeegk7duyAl5dXufNZ34rz8vJyuOjIP3MKCwsBuN77C/6XrCFCQ0PLXcUmMzMT4eHh1ZTIfb344osIDQ3FqlWrHP7PHxQUhCtXrpS7P9a9uK+//hrHjx/HH3/8UeqlBzk5OdBoNNixYwd2797NGleQr68vDAaDwzmFhYXQ6XQA/nfsqFOnTpnzMzMz7atKEpz64y1Jkv3NAI/PtycwMBB5eXkOV4q8uX58XVdMdnY2+vXrh61bt6JTp07lzg8NDcWvv/7qcA5f0/+zevVq5Ofno2PHjqWO5+TkICgoCK+//jqGDRvG+t4ClUoFIYTD920Gg8HeMDtzXAaKLoF3tPR/ZeEZthoiOjoaBw4ccDjnwIEDiI6OrqZE7iktLQ379+/H0qVLy/2kRqVSoW7dujhx4kSZczIzM5GVlYWQkJBKTuq+unTpgry8PGRlZUGv15f4GThwIBITE7F3717W+BZERkYiLS3N4Zzff//dvoJheccOm82G5ORkHjtuEBkZiZSUFIdzUlJS0LBhQwA8Pt+u8uqXn5+P48ePo2nTpk5vw9d1cUuXLsXgwYOdataAovomJyc7/GoLvqb/Z+3atcjOzi71b55er0dAQAD0ej2GDRsGgPW9FcHBwUhPTy9z/OrVq1Cr1cUatosXL+LixYtlbvPTTz8hKCioWs6wsWGrIfr06YP09HTMnTsXV69eLbbMdG5uLlasWIF9+/Zh9OjRMqZ0fT/99BO6detW7iVl/1i0aBGGDRuGI0eOwGw22x+3Wq04ceIEBg4ciJkzZzq1dCyVjjWumMGDB2P9+vU4dOhQiT/2ZrMZ69evR1paGjp37gyg6H6gpUuXYtOmTSgoKLDPFUIgIyMDY8aMQWRkJBdsuMGQIUOwZcsWfP7557BarcXGrFYr9u/fj6SkJAwePBgAj8+3a8GCBZg8eTL27dsHo9Fof9xms+H06dMYOnQo+vfvX+x+WL6uK+b48eOIiYlxen6bNm0QERGBsWPHIiMjo9hruqCgAElJSUhISHDZFflcHetbcWPHjsW4ceOQkZFRYkyv12P06NEYOXKk/TGVSoUZM2Zg4MCB+Pnnn4sdy81mMw4fPoxhw4Zh4cKF1ZKfl0TWEEqlEl9++SUWLVqELl26FHtTEBgYiC5duuDIkSPw9fWVOalru3r1KrZv347PPvuszDlqtRrfffcddDodevXqhVq1amHevHlIS0uzv5lQq9WIiIjAlClT0K9fv+qK7xECAgKKXfrEGldMcHAwtm/fjlmzZmHYsGHFmlytVosOHTpg37599puuQ0JCcPDgQbz88suYN28erl+/DqDokr769evj6aefxltvvSXLc3FVderUwZ49ezBz5kyMHDmyWI1VKhVatGiBjz76yP6lrDw+V4y/vz/8/Pzsv7du3Rq7du3C3LlzERsba2/AFAoFQkJCMGrUKDz33HPF9sHXtWM31/jatWvo37+/ww++HnzwQWzatMn+++bNm5GQkICYmBhkZWXZX9N+fn5o27YtkpOT7Zde10Q319iR0q4QYX0du7m+zz//PADgkUcewdWrV+0fWP6zQvKIESNKfEF8bGwsdDodxo0bh3PnztkvY9dqtYiKisKKFSvQrVu3ank+krixLSciIiIiIiKXwUsiiYiIiIiIXBQbNiIiIiIiIhfFho2IiIiIiMhFsWEjIiIiIiJyUWzYiIiIiIiIXBQbNiIiIiIiIhfFho2IiIiIiMhFsWEjIiIiIiJyUWzYiIiIiIiIXBQbNiIiIjdktVqRn58vdwwAQH5+PqxWq9wxiIg8Ehs2IiJyGZs3b4ZCoYAkSRX68fHxwZkzZwAAly9fRnBwMOrVq4esrCyZn1HlEkJg1apVaNWqFWrVqoUmTZrIHQkA0KRJE/j6+qJVq1ZYtWoVhBByRyIi8hgquQMQERH9o3v37li5ciVsNluJsTlz5qBly5Z46qmnSoz5+PggLCwMAPD7779Dr9cDAFJTU1G/fv2qDV2NFi9ejNmzZ+Oxxx7Ds88+iw4dOsgdCQCwZ88eHD16FJ999hkmTJiA3NxcvPTSS3LHIiLyCJLgx2BEROQGGjRogMcffxwrV650OO/69evo1asXrFYr9u7dC39//2pKWLVyc3MRERGB4cOHY/ny5ZAkSe5IJQghMGnSJCQlJeHcuXPw8/OTOxIRkdvjJZFERORR/Pz8kJycjK+++spjmjUA+OSTT5Cbm4vp06e7ZLMGAJIkYfr06cjJycHevXvljkNE5BHYsBEREbmBCxcuICQkBCEhIXJHcSg0NBTBwcE4f/683FGIiDwCGzYiIvI4U6ZMwYgRI0o8np2djfr16+Po0aP44IMP0Lp1a/j4+ECSJAQEBKBz5874/PPPAQCZmZkYNmwYgoKCoFAooFQq0bBhQwwcONBhMyKEwLZt29C1a1eEh4fbF1FRKBSIiIjAgw8+iN27d1d4YY6MjAzUq1evzPHs7GzUq1cP33zzDc6dO4fY2Fg0a9YMtWrVgiRJqFevHu677z68+uqrMBgMZe5n586d+Ne//mXf7sYfX19f/Otf/8KuXbscZq1Xrx4yMjIq9PyIiKh0XHSEiIg8zl9//YXs7OwSj2dnZ+PSpUuYPXs2Tpw4gaeffhqDBw+Gl5cX9Ho9du7cicceewx79uzBxIkT4e3tjWHDhtnPap05cwbr169HcnIy/vzzT9SqVavEvxEbG4tVq1aha9euGDp0qL3hs9ls0Ov1OHr0KPr27Ytp06bhtddec/o5Xb9+Hb6+vmWOZ2dn4/Lly9i2bRveeecdNGrUCD179kRQUBD8/Pzw999/IzU1FXPnzsW2bdvwww8/QK1WF9vHN998g/79+6Nnz56YM2cOfHx8io1fvnwZX3zxBQYMGIAjR46UueiJn58fcnNznX5uRERUNjZsRERU46SkpODUqVOoU6dOscdnz56N5s2bo3fv3nj44YexZ8+eEk3NkCFD0KFDB7z//vuYOHFisbGff/4Zq1evxpw5czBv3rxS7zUTQmD+/PlYuHAhnnvuOTRt2tTp3M7cu7Z27Vps2bIFffr0KXV84sSJ6NChA9auXYsJEyYUG0tMTERERAQ+/fRTKJXKUrePi4tDeHg4tmzZUmbD5qr32BERuSNeEklERDXO6NGjSzRrQNHXAwwaNAg2mw3Tpk0r0awBwH333Ye77roLv/zyS4mxQ4cOQZIkTJs2rcym5cbxAwcO3P6Tucno0aPLbNYAoH379ujatSsOHjxYYuz8+fOIiooqs1kDALVajYSEBPTs2bMy4hIRUTl4ho2IiGqcRo0alTn2z/e5RUZGljknNDS01Hu0/vzzTwQFBZV6qeSNfH19ERQUhL/++svJxM7r2LFjuXMaNmyIY8eOlXj8zjvvRGpqarnbP/3007eUjYiIKo4NGxER1TiO7gX7576t8uaUdo9cTk4OfH19kZ6eXm4GPz8/XL58ufywFeTo7NiN/3ZOTk6Jx7t06YJNmzZhzZo16NGjB7y9vYuNe3l54c477+Qlj0RE1YgNGxERUSVKS0uzn6UrzwMPPFDFaSrm2WefxeHDhzFu3Lgy59SqVQsjRozA4sWLyz2TSEREt48NGxERUSUKCwvD6tWrnZrbrl27Kk5TMUqlEhs2bMCrr76KtLQ05OfnFxs3Go04efIk4uPjodFosHTpUpmSEhHVHGzYiIiIKom/vz80Gg0ef/xxuaPcltDQUISGhpY69uSTT+LSpUv46KOP2LAREVUDrhJJRERUSSIjI5Geng6r1Vru3CeeeAJLliyphlTOW7t2rVOLjoSHh+PixYvVkIiIiNiwERERVZIuXbrAZDJh7dq1DucdO3YMe/fuhU6nq6Zkzlm2bBkWLVpU7rzU1FSEh4dXQyIiIuIlkURERJWkdevWGDNmDMaPH499+/ahTZs2qFOnDhQKBYQQuH79OlJTU7Fr1y7cc889Dr8v7WYqlQpms7nqwgMYNGgQ5s+fj4KCArRp0wZ+fn7Fxo1GI3777Tds3LgRc+fOLXM/JpMJKhXfYhARVQYeTYmIyC00bdoUjRs3dmpuw4YNS112v3bt2qhXr57DM1shISHQ6XQOV0Asa/8AsGrVKnTu3Blr1qzB+++/j8zMTAghABR9z1lISAhefPFFTJgwoURD5EhwcDD+85//lDkeGBhY7nP7R0RERKnfMxcXFwdJkrBx40Z88sknMJlMxca1Wi0iIiKwYMECvPjii2Xu/9KlS3jooYfKzUFEROWTxD9/RYiIiMhlrV27FlOmTMHVq1dLfD+aKykoKECdOnXw5ptvYtSoUXLHISJye7yHjYiIyA10794dRqMRiYmJckdxKDExEUajEd26dZM7ChGRR+AlkURERG4gKioKQ4YMQWxsLDIzM9GjRw+0bNkSd9xxh9zRcO3aNfz222/497//jcWLF2Po0KFOX75KRESO8ZJIIiIiN2EwGBAXF4eEhATYbDYEBwcjMzNT7ljQ6XS4ePEiFAoFpkyZgoULF8LLy0vuWEREHoENGxERkZsxGAw4ffo0LBYLWrVqJXccnDhxAkqlElFRUWzUiIgqGRs2IiIiIiIiF8VFR4iIiIiIiFwUGzYiIiIiIiIXxYaNiIiIiIjIRbFhIyIiIiIiclFs2IiIiIiIiFwUGzYiIiIiIiIXxYaNiIiIiIjIRbFhIyIiIiIiclH/DzocuQnmmTktAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot results.\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "ax.plot(np.array(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][130:290]))\n",
    "ax.plot(np.array(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][130:290]))\n",
    "ax.set_xlabel(\"Time (ns)\", fontsize=20)\n",
    "ax.set_ylabel(\"Relative amplitude\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54ad066d",
   "metadata": {},
   "source": [
    "Note that the accumulated acquisitions have already been averaged when the data is returned. The instrument keeps track of the number of accumulations and divides the result upon returning the data. The number of accumulations is also available for review."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c372e8b1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:26.378920Z",
     "iopub.status.busy": "2024-09-02T01:38:26.378743Z",
     "iopub.status.idle": "2024-09-02T01:38:26.382363Z",
     "shell.execute_reply": "2024-09-02T01:38:26.381768Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1000\n",
      "1000\n"
     ]
    }
   ],
   "source": [
    "# Print number of averages\n",
    "print(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path0\"][\"avg_cnt\"])\n",
    "print(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path1\"][\"avg_cnt\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28e6430e",
   "metadata": {},
   "source": [
    "To show that the hardware averaging worked, let's compare and zoom in on the data from the very first acquisition in this tutorial and the very last."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "278fd8cb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:26.384563Z",
     "iopub.status.busy": "2024-09-02T01:38:26.384398Z",
     "iopub.status.idle": "2024-09-02T01:38:26.494692Z",
     "shell.execute_reply": "2024-09-02T01:38:26.494059Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot results\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "ax.plot(np.array(single_acq[\"single\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][1000:2000]))\n",
    "ax.plot(np.array(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][1000:2000]))\n",
    "ax.set_xlabel(\"Time (ns)\", fontsize=20)\n",
    "ax.set_ylabel(\"Relative amplitude\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cec28259",
   "metadata": {},
   "source": [
    "Stop\n",
    "----\n",
    "\n",
    "Finally, let's stop the sequencers if they haven't already and 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": 26,
   "id": "eb153dec",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-02T01:38:26.497095Z",
     "iopub.status.busy": "2024-09-02T01:38:26.496917Z",
     "iopub.status.idle": "2024-09-02T01:38:33.917506Z",
     "shell.execute_reply": "2024-09-02T01:38:33.916752Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, State: STOPPED, Info Flags: FORCED_STOP, ACQ_SCOPE_DONE_PATH_0, ACQ_SCOPE_OVERWRITTEN_PATH_0, ACQ_SCOPE_DONE_PATH_1, ACQ_SCOPE_OVERWRITTEN_PATH_1, ACQ_BINNING_DONE, Warning Flags: NONE, Error Flags: NONE, Log: []\n",
      "\n",
      "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   :\tTrue \n",
      "scope_acq_avg_mode_en_path1   :\tTrue \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                   :\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_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_sequencer1:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\toff \n",
      "connect_acq_Q                    :\toff \n",
      "connect_out0                     :\toff \n",
      "connect_out1                     :\toff \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_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_sequencer2:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\toff \n",
      "connect_acq_Q                    :\toff \n",
      "connect_out0                     :\toff \n",
      "connect_out1                     :\toff \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_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                    :\toff \n",
      "connect_acq_Q                    :\toff \n",
      "connect_out0                     :\toff \n",
      "connect_out1                     :\toff \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_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                    :\toff \n",
      "connect_acq_Q                    :\toff \n",
      "connect_out0                     :\toff \n",
      "connect_out1                     :\toff \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_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                    :\toff \n",
      "connect_acq_Q                    :\toff \n",
      "connect_out0                     :\toff \n",
      "connect_out1                     :\toff \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_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": [
    "# Stop sequencer.\n",
    "readout_module.stop_sequencer()\n",
    "\n",
    "# Print status of sequencer.\n",
    "print(readout_module.get_sequencer_status(0))\n",
    "print()\n",
    "\n",
    "# Print an overview of the instrument parameters.\n",
    "print(\"Snapshot:\")\n",
    "readout_module.print_readable_snapshot(update=True)\n",
    "\n",
    "# Reset the cluster\n",
    "cluster.reset()\n",
    "print(cluster.get_system_status())"
   ]
  }
 ],
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