{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "68ceb474",
   "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": "5a8c2419",
   "metadata": {
    "tags": []
   },
   "source": [
    "Setup\n",
    "-----\n",
    "\n",
    "First, we are going to import the required packages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0ce8aa03",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:23.760133Z",
     "iopub.status.busy": "2024-09-18T14:51:23.759960Z",
     "iopub.status.idle": "2024-09-18T14:51:24.642592Z",
     "shell.execute_reply": "2024-09-18T14:51:24.641716Z"
    }
   },
   "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": "1a5b5aa5",
   "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": "a25a282e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:24.645197Z",
     "iopub.status.busy": "2024-09-18T14:51:24.644923Z",
     "iopub.status.idle": "2024-09-18T14:51:26.643203Z",
     "shell.execute_reply": "2024-09-18T14:51:26.639147Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No devices found\r\n"
     ]
    }
   ],
   "source": [
    "!qblox-pnp list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0f65aa50",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:26.651661Z",
     "iopub.status.busy": "2024-09-18T14:51:26.651459Z",
     "iopub.status.idle": "2024-09-18T14:51:26.654912Z",
     "shell.execute_reply": "2024-09-18T14:51:26.654227Z"
    }
   },
   "outputs": [],
   "source": [
    "cluster_ip = \"10.10.200.42\"\n",
    "cluster_name = \"cluster0\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a00b011d",
   "metadata": {},
   "source": [
    "### Connect to Cluster\n",
    "\n",
    "We now make a connection with the Cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9a804bb3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:26.656940Z",
     "iopub.status.busy": "2024-09-18T14:51:26.656762Z",
     "iopub.status.idle": "2024-09-18T14:51:27.494870Z",
     "shell.execute_reply": "2024-09-18T14:51:27.494176Z"
    },
    "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": "61d057b1",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "source": [
    "#### Get connected modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cea82ea6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:27.497291Z",
     "iopub.status.busy": "2024-09-18T14:51:27.497092Z",
     "iopub.status.idle": "2024-09-18T14:51:27.501347Z",
     "shell.execute_reply": "2024-09-18T14:51:27.500728Z"
    }
   },
   "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": "86eda909",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:27.503212Z",
     "iopub.status.busy": "2024-09-18T14:51:27.503028Z",
     "iopub.status.idle": "2024-09-18T14:51:27.528564Z",
     "shell.execute_reply": "2024-09-18T14:51:27.527910Z"
    }
   },
   "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": "2f436c84",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:27.530383Z",
     "iopub.status.busy": "2024-09-18T14:51:27.530197Z",
     "iopub.status.idle": "2024-09-18T14:51:27.532967Z",
     "shell.execute_reply": "2024-09-18T14:51:27.532403Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module = modules[4]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9aa5606b",
   "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": "3364453f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:27.534824Z",
     "iopub.status.busy": "2024-09-18T14:51:27.534644Z",
     "iopub.status.idle": "2024-09-18T14:51:29.985041Z",
     "shell.execute_reply": "2024-09-18T14:51:29.984299Z"
    },
    "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": "b7267719",
   "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": "daa3d2e0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:29.987122Z",
     "iopub.status.busy": "2024-09-18T14:51:29.986921Z",
     "iopub.status.idle": "2024-09-18T14:51:29.991440Z",
     "shell.execute_reply": "2024-09-18T14:51:29.990718Z"
    }
   },
   "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": "0fb29b83",
   "metadata": {},
   "source": [
    "Let's plot the waveforms to see what we have created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7c69e489",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:29.993589Z",
     "iopub.status.busy": "2024-09-18T14:51:29.993373Z",
     "iopub.status.idle": "2024-09-18T14:51:30.198576Z",
     "shell.execute_reply": "2024-09-18T14:51:30.197812Z"
    }
   },
   "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": "43d801d3",
   "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": "694930be",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.200691Z",
     "iopub.status.busy": "2024-09-18T14:51:30.200470Z",
     "iopub.status.idle": "2024-09-18T14:51:30.204243Z",
     "shell.execute_reply": "2024-09-18T14:51:30.203492Z"
    }
   },
   "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": "52054cf9",
   "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": "82502d26",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.206240Z",
     "iopub.status.busy": "2024-09-18T14:51:30.206045Z",
     "iopub.status.idle": "2024-09-18T14:51:30.209464Z",
     "shell.execute_reply": "2024-09-18T14:51:30.208732Z"
    }
   },
   "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": "0a870ede",
   "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": "ef944041",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.211333Z",
     "iopub.status.busy": "2024-09-18T14:51:30.211125Z",
     "iopub.status.idle": "2024-09-18T14:51:30.234881Z",
     "shell.execute_reply": "2024-09-18T14:51:30.234141Z"
    }
   },
   "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": "cae114bd",
   "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": "368a7714",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.237240Z",
     "iopub.status.busy": "2024-09-18T14:51:30.237053Z",
     "iopub.status.idle": "2024-09-18T14:51:30.311017Z",
     "shell.execute_reply": "2024-09-18T14:51:30.307689Z"
    }
   },
   "outputs": [],
   "source": [
    "# Upload sequence.\n",
    "readout_module.sequencer0.sequence(\"sequence.json\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ca86506",
   "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": "dc96e837",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.320810Z",
     "iopub.status.busy": "2024-09-18T14:51:30.319835Z",
     "iopub.status.idle": "2024-09-18T14:51:30.417606Z",
     "shell.execute_reply": "2024-09-18T14:51:30.414399Z"
    }
   },
   "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": "81f2756a",
   "metadata": {},
   "source": [
    "Now let's start the sequence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7df65968",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.426497Z",
     "iopub.status.busy": "2024-09-18T14:51:30.425608Z",
     "iopub.status.idle": "2024-09-18T14:51:30.450004Z",
     "shell.execute_reply": "2024-09-18T14:51:30.446883Z"
    }
   },
   "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": "ee2fa787",
   "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": "f0ad8287",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.458504Z",
     "iopub.status.busy": "2024-09-18T14:51:30.457606Z",
     "iopub.status.idle": "2024-09-18T14:51:30.517420Z",
     "shell.execute_reply": "2024-09-18T14:51:30.515055Z"
    }
   },
   "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": "d1126b66",
   "metadata": {},
   "source": [
    "Let's plot the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e6ba2e4e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.523081Z",
     "iopub.status.busy": "2024-09-18T14:51:30.522587Z",
     "iopub.status.idle": "2024-09-18T14:51:30.640793Z",
     "shell.execute_reply": "2024-09-18T14:51:30.640134Z"
    }
   },
   "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": "ce11882b",
   "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": "eb7ec3b5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.642770Z",
     "iopub.status.busy": "2024-09-18T14:51:30.642592Z",
     "iopub.status.idle": "2024-09-18T14:51:30.874572Z",
     "shell.execute_reply": "2024-09-18T14:51:30.873119Z"
    }
   },
   "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": "f160ca49",
   "metadata": {},
   "source": [
    "Let's plot the result again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b3926a62",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.878235Z",
     "iopub.status.busy": "2024-09-18T14:51:30.877921Z",
     "iopub.status.idle": "2024-09-18T14:51:30.983720Z",
     "shell.execute_reply": "2024-09-18T14:51:30.983056Z"
    },
    "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": "9845f192",
   "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": "cc057a56",
   "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": "32b043fb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.985828Z",
     "iopub.status.busy": "2024-09-18T14:51:30.985647Z",
     "iopub.status.idle": "2024-09-18T14:51:30.988761Z",
     "shell.execute_reply": "2024-09-18T14:51:30.988098Z"
    }
   },
   "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": "427702b1",
   "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": "b9eb5239",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:30.990583Z",
     "iopub.status.busy": "2024-09-18T14:51:30.990416Z",
     "iopub.status.idle": "2024-09-18T14:51:31.148991Z",
     "shell.execute_reply": "2024-09-18T14:51:31.145695Z"
    }
   },
   "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": "639832e9",
   "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": "ff8c47a4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:31.156581Z",
     "iopub.status.busy": "2024-09-18T14:51:31.156402Z",
     "iopub.status.idle": "2024-09-18T14:51:31.257974Z",
     "shell.execute_reply": "2024-09-18T14:51:31.257309Z"
    }
   },
   "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(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": "ad729e50",
   "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": "84b28333",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:31.260036Z",
     "iopub.status.busy": "2024-09-18T14:51:31.259855Z",
     "iopub.status.idle": "2024-09-18T14:51:31.263358Z",
     "shell.execute_reply": "2024-09-18T14:51:31.262753Z"
    }
   },
   "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": "37ae1640",
   "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": "9e9e59d8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:31.265175Z",
     "iopub.status.busy": "2024-09-18T14:51:31.264974Z",
     "iopub.status.idle": "2024-09-18T14:51:31.430200Z",
     "shell.execute_reply": "2024-09-18T14:51:31.429556Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vlWvcBEHURkSLArVxFCOhjiAIIg4gEyNClkA4pEEMNXXs7wSfDSV49escNDYSblHb330S6giCIAgigagJTVltNFUiEgOxpoX6JGGOOvg4a34Z+7pEGxLqCIIgXMLJejLtGyFkCWvqYlim2sFALZwNEXGLaFJOEE6ojeMYCXUEQRAEkUBEHKXUTPmJPq8mwSBxoSdHOKE2mZHzIKGOIAgiDqB9I4QsEUcpNeT9MmalEgTgITMGwgF1qf+QUEcQBEEQCUSgBqSq2miqRCQetX1PFBFdavviFAl1BEEQBJFAhASsWE5q1XHqauN0iIhXVHvqaqwWRKKi7j8Up44gCIKIMnXIQoRwSE04SmGpfVMhIt5gJ9zs2MjOw2nMJGQQmV/WxnGMhDqCIAiCSCDCe+piGqeu9pi9JXj16wQBVqij/caESyT62GUGCXWEIe8tXY+X5q2q6WrENUvzDuK23+cjv7gUALCvuAy3/T4fS/Yc0KU9UlaBOybNx9yd+1THZ2/fixGTF6CwvNJy+f5AAA9NXYzx67bZu4Ea4qV5q/DuknWqY/nFpbjt9/lYlncQQPDD/vDUJfh+7VbDvIorqzBi8gLM2JYnTKMoCh6fsQz/GDcVt/4+D8WVVVL1nLY1D3dOXoASyfRmvLN4LV6ev9qVvIz4atVmjJyxLCFNTBbvOYDbfp+P/SVltvOYuS34Th2tMH9ue4pKcOvv87Ai/xCy9x7Erb/PQ97RUlWa95eux4tz5cbCOTvyccek+Sgor1Ad/++81Rit6fMh3lm8Fq9I9otADJ/pFys34eqfZ+OW3+dzz+8qDLbdqn2HAQC+QAD3T1mEm36bi3v/XIQqfyBmdZVhxrY8TNmyJyZlfbZiI/5v1nLuuXFrtuKqn2fhlonzsLq67Zwya/te3DFpPooqrH9HYsGmw0W49fd5uOaX2fh0+UbDtKIeHovFhS9XbcITM+2NnftLynD7pPlYzPn+83h61nLTtqjyB3Dvn4vwa+4Oy/Xhse3IUdz6+zysO1DgSn4soff/p/XbuedD48X1E/7GO4vXul5+iBeYsVpkvnvrpPnYU1SCSZt24ZpfZuPG3+Ziwa79UatTLEiu6QoQ8YuiKHjgr8UAgBtO6Iz2TRrWcI3ikwGfTwIA7C8tw+/XDMadfyzAbxt34fNVm6A8fbMq7ciZ2RizchPGrFSfO/fbvwAAqUlevPePUyyV/9P6HRi9ZD1GL1mPq3t2dHQvsWJnYTGenr0CAHBf/x7wVptH3DZpAf7YvDvcdr/m7sQ71ZPga4/vJMzv+bmr8OmKjfh0xUZdm4fYdLgIry9cE/774q5tcVn39qZ1vWDcVABA8wb18eK5JxmmNfOyVen34+FpSwEAt5zYBZkNG5iWb5ebf58HABjWpQ3Obp8ZtXKiwSlfTAYAFFZU4qcrz7WVx6CxwXeqcWoK3hjc3zDtP3+dg7937sMXqzaHj+0uKsXUf14AIDgW3h8aC3t1QocmjQzzO/ubKQCC/eF/F54GAMg7Wor/mx2c4N/TrztSkiJrquU+X7hf3CzRLxTNv9Hk1kl6YY6dWF8zYTYW7j6AL1ZthvL0zfh69Ra8v2xD+Hyv45rgrn7dY1BTOQaPnRqzsm6fvAAAcGlWO/Rvdazq3D9/nRP+PW7tVlQ8eaPj8s6r/o40rJeCty8Y4Dg/txn87V/YWVQCABi/bjvuOKmbMC27cOFlxtVYrGeEFjCGdW6DsyyOnff8uQg/b9iBz1bqv/9asvcexEvVCzlGbfHZyo34MHsDPszeYJqnDBf9MAPrDhbgp/U7UPT4Px3nx/JN9fv//jJ+Xa/+ZTYWVQu8363dhrv7dUdqcpKrddh25Cie+XuFabq8o6XhsT/ENzlbXGnjmoI0dYQQduws9flqrB6JwvqDhap/eWw6XGSYx9aCYsvl7nOgzagpSqr4/Um7cih7b9sKjpqmKfP5VX9XWtQg7Ci0/my0+Bm3hWVV6vpEy8CowIb2N17IPSR+l2TZLvFOreGsWK89GDmmGgs1z82Izcz7Xsr0ea0nSR/TL8p95vkHasD8koUtNmf/EdW5vcVqDeeuIvXfdRGzd9DqWGTGVonxsCYICXQyiPbOxdIL62GNpl0Go++/Ftmxec9Rd9+hddVj21GXrE9Ydpk849Wa8SIaVgei+QWgHzPZcb42QEIdIYRcB1sj1EZGTZWIpnDRxqhNZAUdmT0XWjMwfx15Fkneur0fxa4zBfX4Z6+vCE3IFOO/TfOtcUcp8iX7lfgyvyQSA9FkP96HbSvvhuy9JNKeQqvf1Vg8TvWigOZcArWtDCTUEVJQjCJzqI3sERCsyALyA67MxN0XUE8uY7kviUesSk9KYBdxbgSNtfvRZp+PUR81zEM0MTV4+jL1rem+awV/TQTVIxIetteI3oh47FlWXk3ZpIk0hMfD+25lHpFIbSsDCXWEkJp/NROTWjZGRB12ghvNVbMqzcfG6sRYRsAwS2GUhRsCTAhWmEhooa4Gy1Zp6lR91EIewry16eytbteUbGel3LqiETcicd/AmkPl/ZLdUxfDOtjpunV9cTce3nejeURtt5YioY4QUsv7vuvUlEmUm8JATRCrfqY1v6wJbUesimQ/rGR+aS+NWlPHn2BaqocgP5m6qOolEDZjiZVS42Hlnkg8VHvqVMfjuz9Z0tTF+b3YQWsRY0Y02kCnqTMwv6xtJIxQV1BQgMcffxy9evVCy5YtkZmZiczMTPTs2RN333039u3bZ5pHdnY2hg8fjk6dOoWvb926NQYMGIAxY8bA7+dvUN+4cSO6d++O3Nxc1fH27duH8xH9/8EHH7hy/zVBXV9xsgq1lz0MTdEk588yybQfm5qYbBqV6KboxQqwiaypcwO7d8/ONezOO0TXaQ/bNdmqOU2dlT11NC4S1hHuqYthHeyUFY3FwkQaweNxT50RidS2MiRESAO/349BgwZh+PDhmD17No455pjwamlhYSG+/PJLnH766Vi9ejUaNOC7gs7OzsZVV12F999/H4MGDUJqaioAIBAIYNOmTRg5ciQ2bNiAN954Q3XdunXrcOGFF6KsrAxlZWpPfIWFhSgoKHD/huMQ+i6bU1NtlOiDUsw0dbo9de6XYSXLaK7Ssvea5E2YtbuoIGPSy0vDTs7UgZDlUZltMsK1duJnJdByQKWpqxlIU0dEG/W7U4MVsUhd7+0+i+97ND6DRt2lts9lE+JrP2HCBHTo0AGjRo1Cs2bNVB/HjIwMPPjggxg2bBg++eQTYR6jRo3C6NGjMWzYsLBABwBerxdZWVkYO3YsfvzxR5XGLzc3F0OHDsXHH3+M7t3jJ85OrKjtnb8moCbVo9oQb/PjLTNx135sasb80rlWUgb2XhNZU+dG1W17vxT8tmJ+KdTU6fbUsfnbyzNeIU0dIcJoPFQ5J2LG91h2JzsLb9FwlJJIWDa/jEIraMdodfBxxTBtopMQQl1OTg7OPdc4AO3gwYORk5NjO4/09HT069dPZWLp9Xoxbtw4DBkyxHqlawFs56+Ng4/byLQRzW/0GIc0cG/A1WrqojHZNKutXeHAKqz5ZR3fUmff+6ULmjoRxpo6+WvjIU6dGaSpI0QYLayxfbum4tTZwVJIA8m0iSR4WH3fY62pq+0khPnl7t270bt3b8M0rVq1ws6dO4XnCwsL0bBhQ0t5dO3aFV27drVW2VoECSDWCH2EauPm52iiXpFVI72nLkFCGsSqSPZeE7k3uiHUu6Kps7unTvK4tdX9ml9sozh1hBsY9SKRbBDvn1drjlLk0iWSkGJ1sTQW32GV91RNcYnUtjIkhKbO7/cjKSnJME1ycjJ8PnEUeRns5PHKK6/glFNOQdu2bdGiRQtkZmaic+fOuPjii7FkyRLDaysqKlBUVKT6P14hQcWcmmqhBFrE42Ics0sOueDjNW9+yRKrPXU1fZ81jUwf4nq/dHtPHXPcSFNnBjvZjfa4LIyzR5o6wgUMNXUJuhwVC3PCeMaypi4KdTA2vzROm+gkhKYuXunfvz92796Nr776Cu3bt0f9+vUBAGVlZZgzZw6uvvpqzJw5E506deJe//LLL+O5556LZZUtkZhDas1T2waJaKNyXR1Nk0SHmjo3ahariQq7py6RZbqafJViu6dOXvsWywU2N0qy6jihNkKfBD5GXVltZsxcw74r0V7UsHNNHe/ucRHSwPUcE4eE0NRpyc3NRadOnbBx40bbebzyyisYPny4o3pMmzYN77//PrKyssICHQCkpaVhyJAhuP/++/HFF18Ir3/yySdRWFgY/n/Xrl2O6uM2pJ2zRqi1Yt1u0QzYHQtiJ+jEYE+dyezNqMho7R+s85o6m0Hj2WZzY08d+xT0mjp+uTxUaW3WRRaxW3kr5pd1u/8RYozGpkQ1v7Qy3sb5rdgiHkIaGHu/rI2tHiEhNXVZWVnYunWrozyeeOIJl2ojpkePHvj222+F51NTU1WeOOON2t313ae2DxbRwlDQkVzilkkWi5AGZtSIpi4mJcYvdoUwkabACiKtgrYfWAkors7TXr1kkdU0GkFCHSHCqGeI3olY9iY7XTfWQkq8EQ8hDbQYzSMSqW1lSAhNncxeN5/Ph+RkZzKqG3mwNGjQAKWlpa7lV5PQZ9kc2lNnj1i1WzyENGDR2fa7mDfr/bKm77OmkXk/eB99I82aLGqzMTY/dTprmjp5AdApbgSA9ls0x6ot0CKfObKaukRqygSqalSwrqmLrcVMbX8+CSHUtWnTBvn5+YZp8vLy0K5dO+H5Jk2aoLi42FEeLNu2bcPo0aMN05SVlSEtLU0qv3hENSFJpFG1hpBpo0Td/B1NVK6rbeYhcx0r6ADWN3S7ITzXRKD1RH51XfF+6UJIA7uaAtG+PO1Yoc7fuIRYapjdGK/qqqZOtQ/TpA8m19G4I0ZdQ/TOqd/LaNTJWa5WrpdNm0gLt9b31LlfB6N21cWpc7/4GiUhhLpevXphxowZhmlmzJiBXr162c6jpKQE2dnZyMrKkqpTIBDA119/bZhm48aNQicpiQAJINag1rKH0SRV2vulxFfPqaMUqXqYnDcq0U0nMb5asqcuXoKPu+Fxkn0Oek2dvEmlYiGtU8T7mizsqaujjlKstFFSIs3aXcRYU+dcS2wHp/nbXfQxwu1989Hsbda9X7r/RK1YwdQ2x3YJIdRdeuml2L17N0aNGoVDhw6pBsuioiK89957mDx5MkaMGCHM4/nnn8dDDz2EyZMno6KiInw8EAhg8+bNuOGGG3DllVeiRYsWUnXq0KEDAoEAPvzwQ1RVVanOBQIBLFiwAKNHj8ZNN91k8W7jhwSeCxJxjsibmXZ8dXO8jQfzy1hpvFmtJL3G9lALTzY1dcI8tHvqmN8mecbSUYowpIGFPEhTZ06SNyGmYq5jNKEXWQpFfx+pM/Nmu2N8bbGGsh6nzv066IQ6Nnh97WhmIQkxkiQlJWH69OkoKyvD2WefjVatWiEzMxOZmZkYMGAA1qxZg3nz5iE9PR0AMHv2bHTp0kUV961v37745Zdf8Mknn6BHjx7h69u0aYPrrrsOQ4cOxWuvvSasQ9OmTdGgQQNVnSZMmID58+ejc+fO4fwyMzPRtm1bPPXUU/jiiy/QrVu36DVMlImHILeJSKzbKhHXmWLp7CGE1vzSqlAnkzwaq7R2YAXYRNbUuYHXrvdL5rddQUpkfukkTl0sXboLNXUG12irVHc1dcxvk15TV80vjbpGwOZCilPUpp7OrjdNWwtfjXgIaWBsflm7ccUryOzZszFlyhRs27YNBw4cQFpaGj7++GO0bdsW999/P1q2bIlbbrkFLVu2tF1GRkYGXnvtNUPBK8Q555yDzZs364737dsXEydOtFX+hAkTdMc6dOiAsWPH2sqPqH1ITfqjMKIkYkgD2QmP7L3JpIpFSAMzDM0vXSxHtaeu1n/GjJELPs5xlMI0myuOUlT5adKprjEuK5ZCuhtl1VVNnRXI/FKPSLiK9njmtLvaHisgHqvc7h4ejydqC0LxEHxci9E8ora9eY40dYqi4Nprr8WgQYMwduxY7N27FykpKZgyZQpycnLCaV566SWcdtpp2LNnjyuVJmIDfYutEfrY1LZBIhqIPtjRFFCdhjSQ8qJocl59r9HTtKg1dVEpIibU5Lsk8jJpyRGCwAGKNg8rWgkrpppOEU2gaU+dOSqzclNHKQlhNOU6Rt1IuKdOsFDiFlacFnGvt1mn2mJ+GQ8hDYwtCWpHO4twNJJ88cUXGD9+PD7//HPs3LkTc+bMwWeffaZqtPfffx/r169HcXEx3n33XccVJmJH7e767hPq9jE3v1TZiyfGU4u2BzMecbGnTmPSHK0aqL1fJkafiBa2g48zv93Yx6bS1BmUZZZ/bEMa8I9bKbWuauqs3HZSnTW/lNTUiRZHouFkw2GW1syza9+7EQ8hDeqy+aUjoe7LL7/E8OHDcdNNN4U/nLwPaLt27XDFFVdg8uTJToojYkwsNyfXBmSaKPor64mBrLmZrNmJveDjNdtaiqJEUVPHer+MShEJgxvTZZHDE/PrmN+C/ACt90vj/J3u+bGC0FGKFU2dUkfj1FkYjZPrqPmlURvJeISNtqbO1vUOzC9FuN07our90uL7HgtNndHrVdtePUdC3ZYtW9CnTx+ptB07dsTevXudFEfUILVxRclt4kEjEg91kIGtJyt02B1gZcw2dXHqasT7JfMb6o+Pmx8XtffLxOgTPNxwN207pAHbR22Wzba9OqSB+plY834ZOy23G5o6q+ZYtQXS1Jlj1DVE++iivb/OaXe1pKmTNCV12+1+NAWZeAhpYFieprhE9ElghCOhbu/evWjevLlU2vT0dBQUFDgpjogxdfNTnNgkyvwpIPgwawdYNwdcp+aXbtRFu68qWnJlVW2JU+dKHjaDj7O/bYc0kMvDkqYuho/TleDjiTIouYyVBZskT13dUyenqVNdI/jtFk4tlOzuua0tWF3EiUpIA53gxpyrhW3O4ngkkV1BqG0B/uoCCTwXrBFqqrnYSWuiDFiyIQ2iYX5ZLyk47EUl+LhJPfSaumiZX5LpdAg3HNxYCQ4ugr1Mp6kT/DavS3QfroyzCjPq7p46C+aXdUBTx+tLhpo69rdocSQGpnuxut7YC3TiEBchDTRtaSR/1DbRxJFQl5SUBJ/PJ5XW7/cjKSnJSXFEjKmJWGKJTDyYPiaKViaWLqpDhD42qdXjUE1oELQTlWh5/qwtmrp4QS10WVmJZ34bmFpZERqjralQlSU0vzSYgGq6cV3tf1buui6YX/Im+9J76lTXyF1vF6feZd0If5LIWHeU4j5GVagt7SzCkVDXrl075OXlSaXdv38/2rRp46Q4ogap5e+BK9SYpo6ZDySKpZNosmt4jcPROCTopCaHNHWOsnOMUv1fNKgtIQ3cQEZYNrMksT9RYyem7DMRmwKb9Qk3tIayuKKpq6Md0Eob1YWQBto9zYCJ90sJjXR8OkqJTtpEwXJIgyjVg4XMLyXp2rUrZs6cKZV2zpw56Natm5PiiBgjMnkg4pdEeU6i/UXaubV6MBYjM3EPfWxCmjrLe+pcWEzXmg6pNHXkKEWHG23iznPj/za9TpSHg/xj+TTdKKvOml+q9gprzmnapC4EH+dN9o26htBJj0NNmhlO5z1RMb9021FKFA06LTtKiYr5pTzkKIXhsccew7Jly3Dbbbdh06ZNqKqqCp8LdcL8/Hw88cQTmD9/Ph577DFntSViijamFmFMaGwyVP1HoSXZISlRFsXVk125SjsNfRASdOzuqXPj2xMr0zkfmV+GkflkW9pTZ7Me7HVGmjozYhunTqAhsZAHaerM28uNPXXx/p5rQ8oAZnHqROaX0b3PmgppUFuwHNIgCnUwjFOnOVXb1lOSnVw8ePBgvPbaa3j22Wfx5ZdfAgDS0tIAAFdccQX8fj98Ph/q16+PV155BYMHD3ZcYSJ2sJ0/3j8Y8UA8aETioQ4yyLqLZ1coAwog2pUrMy6HJhX1k6v31NV0SANF/bTc/Laog4+7mHGMcWMV1Y1VbjuLEMG0kd9GZpNWhP1Yxg8V7qljTpg9I6uOE2oLRmOx9owbe+ri/RvNM780qrHKQ7Lwt/v3HNOQBuxvgwtdj1NXgyENzLTWbqDNkf0G6M65XnrN4kioA4Laun/9619YvHgxtm7disLCwvC5xo0bo1OnThgwYABatmzptCiiBonz70VcINNGNbUHJt4ICD7M2gHWTVt4p+aX0SB6wccZoTkO7rMmceOjbXtPnSaEhSg/Kx4tReFAooGcW3njOtRV80sj9OaXzvfUxft7zjO/NKqzjEY61loet6+XDZWSSNokn8n9a8/GQpGfQM3nGMdCHQC0aNECw4cPdyMrIo6IpckD4Q5x/l0PIzKtMdKqOL03p+aXruzN0tx3tB6Xek9d4hIvkxm7+3hE12nzsBIHL5ZjsRsl1VWhTu3ZVnNO87cbe+ri3cyVZ35pVGORRlq0UOIWVrTmZtfHK9EcVuMh+Lix+WUiPCH71H6XS4RtYmnmUxuoqSZSmygmxoOyY0LjdCO5T1GHNIjGHMjMFE1nfhmlx+VTaE9dCKk4dSZp3IgNZ2TOLtJc8+vCzzMaiL1fyhcc78JGtDAWWNR/u7F4wT6rOFkLUcEzwzXW1PGPx9JRih2sjLdq88va8Z74VKb/5vcUHQ+maozer9oWQ5uEOkKI0xWrukY8DMo1XwM5ZPsWO966pakLhTSomTh1Wk1ddOpQ5acFmRBu7MuzOxaqn7dYMLTilMqKVs8povytlFt3NXUG2gJNC7rRRGqz3PiDq6kzqKjw3ZG83i5O4/ParZPhdzAuxXQ+rJmtTFPEWjCPx3fDTUioI6SIB4El3pEbwNxvR7X3y8R4Tna0wE7vrCqg1dTVbFspisZEy8UVQwo+HkFKU2cyaXIjoLBaU6fNn5/OrC7RHpftxKnTnvPXWUcpBuc0J934Llj1OhhrrMapk3knoh183M57b2nRpxYOzX6L41Os55a1sc1ZpPbUDRo0CNu2bXNcWKdOnTB9+nTH+RCxgbxfWqOmBN9or1xGA7aaRmZD7GTbqA/KiEOhFcTwnjqLEwJXND6q1fRoBh+vJXvq3PB+6UIedgN+i/q5ti+LgpTz6yJfvlPcGPfrrqYu8lu7YBNtTV08YtVRikgjHe1tIUbvqdXrrWDo/dJlRV00TQ79Fr89UdHUaXI1+gYkjg5UDimhbvjw4di+fbvqmKIoePfdd3H22WejT58+3OsURcHKlSsxd+5cDB48GEOHDnVaXyKGsC9GXnGZYdojZRVITU5CUUUlMhs2sF3m5sNFaJCSjFaNInnsPVqKlo2M81QUBftKyuD1eNCoXgpKqnw4tkF9HK0Ixk5slJqiu6aksgq+gIKM+vUABAejg6UVUKDguPQ0eN1wha4oyC8uQ70kL7cOe4+Whl3sm90b2657j5aiYb2U8PkQoQ9KaZUPlX4/yqr8qrbbV1yG5un14fV4sPdoKTIbpoUH+P0lZWiWlookL1+B7wsEcKSsEs3T60vdu9FzkzEhCz27EAXllfAASK+nb0crcerCIQ04k4y9R0vRODUFvoCC0iqfab+TqceBknI0qV8PKUlenQCudaZQVuVDhd+PJvVTLZXLcrSiCkfKKsN/iyYZh8sq0CAlCfWT1Z+BvUdLkZaShNSkJKSlJKv6hbbPAOp+UVIZeWaV/gAqfH6kmvRvI/aVlGHjoUJ0a5YRPhZ6p7TPJtTnm9RPxeGyivBxjwco9/lQWuXHMWn8dhX1nyp/IPjcNML4odJyNKyXgtTkJOQXl6Jxaj1U+Pxoqslf1M/ziktV6bRC46HScjRIScbRyiocl56Gsiofyn1+lPv8OlO0Cp8fJVW+8L0pioI1BwrQtnGDcD/iPbcQ+cWlaJGuPhceCw00JKHnoM1L29+MzJzzi0txXHqa8DxLYXklkr0e7vtvln9oLGf7BUuofRQEx0Gzb5jMWGhobqtpksKKSpRUVoXvrcofQEF5JXyBQPi5Vfj8KK6sQrMG9bn3drC03LDOIfaXlKm+kbx7O1xWEX4u7PsW6hctGuqfWUBRwm1X6fejqKJKlb+Zo5RQny+qqEKLhmmqfnSkvAJlVT6kpSSrrvEFAthfUsbtQ6KxyuzeVGM0gILyCtRLSkKD6rHwmLRUJBt8I81gn5vIxFRbfyszkfziUjSql4KqQED3/Q/B5ldSWYWjlVXwejzCeztYWo6M1OA3LHQNO3di8WvGMqOxJ5hGPz6UVFbBryhonKrPXwbeuFXlD6CwohJ7NWNvLdtSJyfUPfjgg9zj7777Lq666ircc889hte//fbbePHFF/HFF19YryFRY7Avxj9/nYOC8krcc3J3XbqC8goc8+Z34b+nXHc+hnRubbm879duxXUT5gAANtx9GbKaZeCFuavwzN8r8Mbgk/HoKScIr73xt7n4ds1W1bGN91yObh/+AgCoeupG3WDV+PVxCCgKSkbegAYpyRj2/XRM3ZoHABjerS1+u3qQpfor4X8jDTdyZjZeX7gGANAhoyFaNIx85P47bzX+b/Zy03xv+X0evlq9Bb9ceS4u694e36zeghsnzg2f/3DoKbo6NH1jHCqrhZh3LhiABwf0xN878nHON1NwUdc2OLd9Szw6fSmeO6sPnjmrD1bkH8JJY37HGW2Pw9ybhnHrccoXk5G99xDW3nkpejZvYljnV+avxpOzluO/556EJ0/vrTsvDGnADLCNXx+Lby45M/x323d/hNfjgf//bjIsW4ROU6cZ+Wdt34vzvv1Ldey9IQNtlRUi91Ahun80ASe2aIqVd1yim+Rrvz3HvvU9Sqt8KHjseu4H0wxfIIDGr49VHeN94PaXlKHF2z+gZcM05D10Tfj4W4vW4tHpSwEEhd/5Nw1Dv8+C/eLm3l1w++QFeGTg8Xjz/P7hawZ+PhnL84P94vhPflWV0/XDX7Dzgass30eILUeOIuujCfj8otNxS5+uAIBHpi3FO0vW4bOLTset1ccA4Jg3xqHCH8C2+65Ax/d/Dh/3AOjw3k/YV1KO/Q9fK70oAQAnjZmInDsvVfWV/OIynPzZJLRp1ABfXHwGzh83NXzu0KPXCQVH9tlf88vf8MCDq3p2CJ5j0u0qKkH/zyeF/15220U46+spKK3yAQCurr4mmCfQ4f2fkF9chvyHrkGLhml4atZyvLIgB03r10PeQ1dj/LrtuGniPDzQvwdGa/rzr7k7cNmPs3DDCZ3wzaVnhY9f9MMMTNmyBx8PPVVwL8DTs1fgv/NXq463eme8rk/zNDQAMHXLHgz5bhou796ee56lrMqHJm+MC5b99M2m6QFg0qZduPiHGbj++E4Ye9lZOFBSjuPe/l6X7p3Fa/HwtKUYdeaJ2HT4KMat3YqJVw/Cxd3aCvM+7cs/sDTvINbceQmOb96Um8bIoYf27zUHCtDwtbEI/N9N8Hg8GPD5JKzcdxgAcNdJWfho2Kno8sHP2H20FHkPXo0V+w7jwu+n45qeHfD95efgUGk5sj6awC2bZfW+wzjx04nhv7feewU6Nm2kSvOvX+fix/XbkXv3Zeh8TGM88/cKvDhvNd4dMhB/bN6NKVv2YN5NQ3F62xaq6/45YQ6+X7cNk68djPunLMbWgqPYef9VaJuRDsBYU7enqARt3v0xfHzxLReq2qi40odWo8fjyGPXq44/OWs5npy1HNm3XYyTWjYLHx+bswU3/DYXd/fLwodMHz73mymYt2s/Vtx+MfpkNsOzc1bi+bmr8Pb5/TFt2178sXk3vrss8h4UVVSi6RvfIcXrxZJbL0Rfk2/k6V/+wT0eYtrWPFwwbiou794eP195rvA5fZKdi7v+XIiRp52AV847WXVOURShgPTH5t248Hu1Ndybg/vjkVOOF9ap4WuR78UprZtj4S0Xqs5vPXIUnT/4GT2OzcC6uy4DEJk7FT/+T90iC/ucf1y/Hf/8dQ5u69MVYy46nVu+3hRdCdep7IkbdIuOMmib1eMB+o6ZiLUHCiznlWjEZE/dQw89hPT0dLzxxhuxKI5wCe3K0YNTF3PTZe89pPo7JMRYZf3BSIzD3EPB38/8vQIA8Nj0ZYbXagU6APhi5abw78LySt350Adly5GjABAW6ABg4sZdstU2hG2L7YXFqnMyAh0AfLV6CwDg+bmrAAAjZ6rb4mBpZPU5dE+VzP6Fh6YuAQC8s2QdAGDSpt3hifuoOSsBAGNWBNtq3q79wnqEnvN3a/VtreXJWcF7e2oW/x5lHUPsL1GvPgcUhat5klnLDO05qSfYU7fuYIHumvv/4vd5Wb5fGzRbX7XviO5c0Pulug6hifvq/fr0Mhj1c5ZZ2/MBAHs1mpZQvwCAcp8fn62M9ItHqs+9tXit6prl+cF+8W3OFl05u4pKrFRfyIZDkbEh1I//PUP9HlRU9/nPmPceCJoa7avuR/N27bNU7prqSQDbgjO27wUA7D5aijc1bbEk74Dqb+2qP0tobAPUz+iPzbtV6cas2BTuFwAwft12Js+Itmz2juAzXV/dj4+UV+JgaUW4nd5dul53fy/MDQpl2vFzypY9AIAPsjforgndi1agCx2X5dXqsfGXDTtM024tOBopQ9K87aV5wfqNqx6vRM/+4WnBfv3c3FXhtLx7Y1madxAAMDZHPBYaOdwQ3UNoQhwS6ADg4+W5AIL9DQBmbt+L/1bf2w/VfWFxdX1CiLTzoW9JiN827tSlWXewAH5FwcbDRQCAF6vLeuCvxeF+8f5Sfb/4fl1wrHt5/urw8wqlB/h7K0PVZNMBwKcrNuruoYAztoXQvvNPzMwGAHyUnas6Hvq+fbFqM4DIN/XhaUvD793oJZH3JPT+VwUC4WuMvpFLNM9By+sGfZ693Qeq51qvLgimNwqezfIyp9+yY7oZi/Yc0B2bkBusKzs/Cz2bzUeO6tKzPF09x9E+HxbtPLPS7w//3lNUqk0uhfb98gBCgS6RnNDIEBOhzuPxYNiwYZg2bVosiiNqGLs20ux7KFrdtYLRQBiV+DZR3tMQuh1tMbL7fdy6Z9f3llmsl4yJC49Ql0r2elR/R/J1/wEaxafSryZGUtttYd4d8PZo2W1DI6K5T4MvyPPPazXyMrWy4iiFjSlmZlYncpQCQGXebfjeWhxRZTVlMnnHy3THSOslQtsdrbSibFc2yjOWWwmTNRWW3dfFe2dDVxr1G6N9kqJzvOxE9fR4PAYhDThjgcWOalR/kTCe5I3u2yD7nhvHYJMry8lYbeV7LfNNNd5LGC8jUOIQM++XrVu3xq5d7mg/iNggPUBoPv224zgxgxrPU5ZV2DFYW6VoxPSJdlDgUDtr25fds2K48dylerjxbRMJN9q+xBvT7faN0Ic8pXrSr/2wu9HnzFDdtyLuMW5+y3jfVVnnFfHyTeXVl60b++xStEKdG/2VKd9or63OAYrBnhn2PXLDuUKoWtpFHifeJ0X36sYCke2FC9m+6+C7JLtwZTTmKwbpRFdJT+w1f2sXMqTfb17e1dfy9sDJ5C/aQ8m7JnREO3n3QOzNk5e7zsGWyUtvtM9Tu382hGgfnRX0/cD6exTDtQIA+nfByljFHbc1f+sXqcVpZYl1G8UTMRPqmjRpgqNHjVW1RHxh98VwY4Ji9EGRhR2MZD+qTpC5bSdzocikTX1cNYmD3qTPjbLV9XDHgUzkt0FZnGO8viFTpVA7pQj21LnR58zQ7alz4QOmzp9zjKupS6zPntmYwj67ZK92gmjesubBxyO/jYU6cR7aWxBZEmizsKrF005KnTxr0a1aydGNxS6j9hFhNnl0A+PnLR7jhA5oJCupbVNtn3fitTR0pdEil5GmX9TfeHWyF3yct8BjbfQ0qj+bu0hDbxdjSxrxObZk4/Eg+lgpQ2ZBSfs8VQvuNptcb35p4P0yThYu3cKRUJeSkoLKSrGdM4vf70dKirzXKqLmsa9xs1ke89sN8zCjl9WNgUOLzH27MehqP+hqF8z6D6XbY5Yrwgfz2zBUAefh8CYNMhP3UDkR80t1PjUh6IgmvG7a+fNuKxrml9GEdw9sG7H3ExLa3YR9TkZCnZGreqP30nbIBE5abV5OnrUbmjq3X6tYmDXKvn2y7aAT1AXvvbwJnvpvrRZJts255pfV1xr1GyNNl0jDxhvnQ+2n17RFN4ySkaZR9C5qBWc7GN2R0Tn2OVltF947bOVOtJdbKZ/3TdW/C/bzF2ElB9pTx9ChQwfk5eWZJwSwd+9etG/f3klxRIJg951kP5BVfncHdNmVUmdlRHe2ERp6tMVog31qaxEa1N0yD3VFUydwlKLNmqups2t+Wf2BSfZ4VX87zdcIfXwq5rei1apEB16/TLTYYbxJpNr8MnJeZ37pQvls8eyKvbYddeOMgUMgr0BTp8XqObVWSzHeP2TSDYRCnfFlmjJcHsslS9ftqYvGmG/3XJQ1dU5MbkN5x8L80kj4FOXDO2r1HZc1v2RxR1NnPF5I5WHxS8Grt5NbsVJnme+M0XYStwSu2qaNM8KRUNejRw/8+eefCJgMIH6/H5MnT0bPnj2dFEfEGNl3V78h3d7Xkw0G7ROs9lnB6D1OxGDqnrBwpkalqQNHI+DygOb2JFkV0kAid66mzgXzSzONhp121JmAaU1lVZvy3dceA/y+bjSpiUfMHKWwz04riLhtLsw6TND2RX1QceY3xO+l1oRaVLYRoXdHv6fO/rN2Wyuvyttm5tJOQBzUXtpRikFVFMEYB4i/kbL35pqmzqAOho5SbDhR4WrqDCwVRG3BOyyzGMgi7SiFOe5K3FqDv43ec1nzSx5uO3ixpqkzn8cZbSexb36p/rsumV9aDwDB8PTTT2PgwIG4/PLL8eijj6J9+/Zo2LBh+PzRo0exfft2vPnmm9iwYQO++uorxxUmYofdqYB9TV3kt9tak5jsqYtCniwRTZ12IsnUQVGEA5p7e+qc5yETfFyE3b1vYaHOG709dWZNY6Spc8fshDdx0iOrqbNmChi9N8DKnjqd8CSRv1kadsGJndxpxykr2hnVnl9FnE523xY3L5M6mSE2v7SWj1FsLdnrrZbt1mKjEcaOUsRjnFBTZ7Meru6pq77UbU0df0+duB5CoY7TSlYFeFlNHVsHN4Q6I2SfmOEYwznrhoZRtnwtMgtK+u0kFiskkWddwpFQd/LJJ+O7777DI488grPPPltgn62gVatW+O6779CvXz8nxRExpmb31EX3pVR7v3R50IvyeGKoqVP0cdzc9sTsSkgD9rfFBrO7Ryg0ERGFNIiFoxQW7YTbFa9fnKbkTY5k2zBePo5cTR3zvTEaL9xZhIj8Zt8nbZ/Ra2T4v7X1MtLUWfVoq9bUOXt+Ykcp1vINKIprk8tY9Ehp75eymjrJRUV580s1WoEjINlKvEcSutJYU2dd4ONN8MN76rSaNo/7ezFVddFasyBy39EMaaA3v7R+k1avcVpv7dVO99Rp0S9iWV/AMcuzLuFIqAOAq6++Gpdccglyc3OxdetWFBYWhs9lZGSgU6dOyMrKQmpqqtOiiATB7kRQtafO5Ql2LPbURZtwnDqtDbpG6yX64Lt1y66ENNBoE4TpOMe43i8lygx9X0Lml9oPe1Ti1Bns69EGH4+apo6TraxJXry8J2ausdk+oQuLIeX90jiNaMVe22f0GhmxgKXeUyeeyBgKdZxTRoKkVbyCtrOsqXNYDzuLQHrTZ4eV4CCrqdOds6CFsnJ9CCcmt+GQBgbWMvY0dbxjBvlwtmDwLFEA53HqvB5P+JhIGI+G+aXqnMFJtmireXD31DlYmLXyHkntqTO4xj0/AAbnXCkhfnAs1AFAamoqevfujd69e7uRHREn6CcoctfZDmnA/Hbf/FJNNLxfStXDwcwismdGfVwbp06/py5kfunWAOmyoxRWQ6UTgnhaJmOtjQhT80uTPufO/iKxAO5X9Ul7pclOnGQF2MTR1EVXyypqBe0Cgz5OnTgPtfdLcTqrTm3UWj9nuDU2Ol2wsGOurXdSJF8H2fuWDWGhW1SUuEZ93LjuRt83I3iT+9CVds0vRWXz99Tx6xHcU6fPg7doybveDK2m0cOo6tQLCJHfbpsx2sVQO8wzv3SqqbMQ2N4oPIGda+yuTVi5rLYFOI9ZnDoi8bBtfmn3RWSuc2OSxlbDKChwoqGtO7uiqSgJEtKAqaLVWEU84UtOUxfMLJohDcw+EHpNnb5+gP02Npo4sUibX1pokmi+UWaPhu0TRg5JRJjuqWMagl1E0bajUXsZOTAy0ugZm1/qz7lpfumG98tgPRxVI2p5iZB9/4za10igFwpvgpY1WizgpzdJYECoKPshDeSFutAxvvklP70bi5N680t2fysjVAg0dW7E4gW0fUScJ1s/q2W77v3SoJ522sVoQcJ+O1tYwLFVQvxCQh0hRHpF1LXyIiVWuWwKpzdpcjX7mCAaiLWaOu29um1+Gc2QBkbpQtg1zQ2HNLDpKEWm/ax8TIw+ZnbbmFc81/ulZD3j5TUx835pNF6oPMfZLF8kfOsdpYgn39pbUE/UxGXLml9GzLP55dtB1AutTqz5z89mH5fdL6a9zkKVZd8/w7HLhnAtSmb2vbKjIQFEe+qC19o1vxQJg7xrRNl4IIprJ0hv1fxS06CsMkv0zrJp3LIMEGlzdWOFqn5y40GIJK+703xD7bSN/IxCGtger21eVxsgoY5wjFEsLiuwg7grmjoDbVC0Y8pFA5EXS59mEBQ5SnHN/NKFPLQaK1HevBVhuxo1rfmldpIRlTh1EL8biqL+QLvhKEV2IhSNkAbRXPHkxqljfhuNF24sQohWj/Xml+rrtCEsWER76rTILnqEcrOyus3fg8nXTsjWSTZ91EMaOPguyWvqDM4ZXSc4K7pGu7/MzJxTdtGGd5+xDGkgepYej4dbRkDht5z2Psz6lk5Tx76LqkUR/rtg9xukX/Sxno/Vzzh/T519jOYRMu+mbrHFII9EDD1V0zjaU3fLLbdgx44d0uk7duyIzz77zEmRRAwxWi0ywg3TBNcdpWiGDjcm0LFGNGljJ7S8j54ovp3terjQYKJ9PzL2+1zzS5M6sUHZhXHqTGIj2rltoz2CCsTml3YxM8cLIR/SwIqAED143vzYvmIkkHsEv63Als62XaXfwp46zS2wK//GJsjWWlZdpvG1vNPshNWt/SaO99SxvyWz0mvq3O+hssK4NpVYIycSiOTLNcpHC3dPXfWlsQhpYFRLUVw73nPU9lMzLbCRUCpqO10okxTDIrjoLYb4iz5Gr53VXux0L6De+6U4rZ1XTNvebK+zvwVIu4gvTlvLttQ5E+qaNGmCgoIC4Xmfz4eFCxfiyJEjGDRoEBo3buykOCLG2Pdiabe8CG7sbxJpQYJ/84WKaONGWUarslxHKS6Uqc7PXS9gsvtSQtjR4rJtIgxp4IKmznRPHftb0fZRuY+6EfKOUmRDGsQH5sHHxTWVEUzMkog27+tDGkDzt3icEZlf6leuxfUyM7e18/zUnkRF5VrL2c0V91j0SWnzS8NnowjTCTV1ksKeUT/jpRdhP6SBwTlB2SLNG8BzlCIay9x5/ryQBiFE8wbW4YhdSyIj4d7Q/FJ1jbUWiKajFFuOUbR/aw74VYvUcnU0LcOiyWoi40ioe/vtt03TVFVV4Y477sCmTZvw+uuvOymOiDH2hTPnqyuue7/UraCLP7iOy4rStEMU0kBlfqnwNAJ8s027xDKkAVdTZ7b3TdEHOmY/DmHzy4C4HaOF0QqiK5o6ydXwaAQfjyZm5qLRjjGocpTCaHT1IQ2MJg/qc6p9PAYCgNU4dU7HNnbCGi+OUtQTXnsCSzS6suw7qzO7E1wm6j/a/m/2jXElpIGhps66E5WohjQQ5iLIW7enjm9+Kaqf3fFGNl6hcR7WzrkffFy8aOTG/agXuOzOJW1dViuI+p66lJQUfPLJJ1i/fj0+/fTTaBdHuIjd98KVkAZu76nTnHNj4LCDk8FGGNLARFPnRnwdVT2iGNJAC28iwA1pwHov4+YTOSoyv4yv4OP22ph3B7U3pEHkNyuI2HnHzNpbPdGL/NYuPlkKaeARaerkV795Ao7TsY29J9ECjtU2rglNnROLAuk9dZLn9Jo6wTWCE6aaOpP0IgxDGhg5SnFpT13oiGzwcVGxTuPUieLAieKIVvndETZEmnxD80uLRfM0dVa+4UbmlzrTSRvveXRCGsgtotRGYuIoJTU1FRdffDF++OGHWBRH1DC2NXzMdW7HndJrSJytZovyjSZhTZ1mwGLNFRTOedF1tuvhQh6yGipe+3KDjwu0HrwyRCENouMoRY12wuB68HHexIkrGLNCkFH7Wyg7igIg7+POTkirNPtKVfWSuAlr5peR32YhDYz6ucjky4qmjofTsU3reMkNnOZjR/uo38/qsBIcjN8d6+dkQxqY4SikQfW/hiENjDRsIk2d5H5fo3NK9X9aLMep02gBRSEDRIturnm/ZH9LPmOr38toOkoxGu+k89P87WZIlkgZBm3mSgnxQ8y8X3bs2BFr166NVXGEC8TaQ6QqpIHNlTB1fhH0K0r8dFaJB+9Mek2d+rwbmjqVh8oohjTQrwrq29fsg8p7ImwbJXsEjlJMZkJSe7NMzmvNTkV91E3PgFxHKZITdzNBLVZjhLmmTiwc+wWTNCuInpM2lII2fyNhRK2pY+soHquM6sVLb+d+WQFZNEG3KsA7dpSiuie5vJyMUrLvn/G7w/427ifh44ITekcpxtc52lMnY37p0p66UFKd90p4hGOZG0OOYUgDhf+bXTx1zfxScC9Gmlir757TPXVaXNfUaRepXVjojINpWY0RM6HumGOOwZEjR2JVHOECsu+FmYtaWVQr4CaeCGUwclIgclBhuQzbVwryM6iLJ5xGfVy/p06dQHSdFVQCh/1swqg/nEartfpjPIFfHTyWl0/kYMj8UhfSIAbml2phVv05UwkfNp8V7zIzIdeJpk52b55TzMphtazatG4svKj21BkIkMZOf+QmkrrrJLUiES+3/GfLW9zh5cwumoja3WqT8tJbGUeMFuhE6EMauN9XjZ+bOJ1wMi/Ii9UsBThjvNHE2CpSIQ0sathEx4331PGFQN4VlvfUab+RgvAi7G/2GtshDXTCmvUFJ6uPNsnj7jTfeE+dDaHOYEHCbi/W18uo/NolAcZMqKuqqkJqamqsiiNcwG5ndyWkgQumcEYTAbdU/G5r6ozyC314zEIaRENTp9rvFdWQBuJ0Icw0dWaThxRB8HG3TX4BY+2eVgA30tbIYkdT5ySYbKw01Xzvl/y4UfpYcew19mDzMDYZE1+n09RJmHyZlmdi0saelXWYwGofxZo6azjtJ+rx2lFWUsia8xmbdVmf/MqENOCFrZHNRwvvLkNX2g1pYKVOolyCe+rkhUBdSAOTx2ekaRS9s0Zeb2UxerdV45SB6bDVlnfu/VL9t8gUPfi39fyN8rA/l9Qsejj4xiUaMRPq8vLy0KFDh1gVR9QgbmgZ3PZEaLRS6qQktycYRtl5BGm0pnSiIMdOqsquFLse0sCgZra8X3LyY9tIGNIgGkKd5m9tvxMtPNh+hzjX8dpDtafOaGJqUpEaFeqYxjXaUydTR7M+Lbt538jMTnuZ2DmDtmy5evGuZ59fsuTkzkjryctXBqdaMiOrCxFG755byGrqZM+JjhtNpHnXObI+qb7U6BtsZwGM15esLJAA1WMmd4HHGtp78wo1dWx9In9FY0+d6rh2viLQvsvkx91T52Bl1lgDbb3f6eczzpxe1XViItRVVFTg559/Rp8+fWJRHOESdt8nV0IauOH90sDE0q2V31hq6kRo9xMZOWSwi9uaOtGHQTu55mkizB2l6Mtj65/s5Ztfmu6pMzwrh3ryrnWUwk9nBf7qtj6drKmnWT2cuE63Aq8c9nmwgojuXXdhLVbWXNtokiMyi9bmacX7pZmbePa07Iq92vySPw5b1dQ47Saqd0NWC+VgoJK9VDbchJm5pNlxtv/7FfN9ZbLPh9dGoTrY9X4pgiukKfx6eOBRTe4jebhjRKt3lKKvU/A3/723a0lkpEGSvTOr9+88+Lg4Tp0bmjqjRSw3PKkH/5YfsxMdR3Hqdu3ahQMHDgjPFxcXY/v27XjvvfeQn5+P5557zklxRIyx29ndeBFd935p8LeTz4QuX5N7N3c8IT4nmqRo90fpzLwE8e0AeUGFfaZeVzR1civvvPYwE754Z9n6J9n0funG2G+kcXDF+6VJmSHUHg7tf/DUk22z2tnHrG3YPbi6mF4S9TJ2Ia42aTbcT2RojqdGFBtLl6ehEKk/pxYmIr9DixlmyDhKsbro5nTfip29R/q93vJ1cCWkgQ3toqymzszxiiPzy+pLY2F+KTanFAuB3O+Y1ZAGmsxFWnOx11v3hQ1Zza5VDbCbjlIUjVBtRXgS5mmwiGV31KjLIQ0cCXX9+vXDoUOHhOdDL1/fvn0xY8YMdOnSxUlxRIyR9jKm3ZBu8wVir3PbvXysNHWKhfw8sPYxFg3N2k302jyMzC9l99u54ZmRha2iVbfWvL6hXmkVTx6SPJ7wyqVOqIt1nDpFPIFwcz+rE02dnfKiATekAdMRDTV1jgUK8Yq9Lq3mlOj5Aup3z0gYlH0/PJxjLDzzSzOBXzR5r7Q4Pps9PyvXu/F9MUO2brKmcHoNruga/gmdUGdhscUIrvfL6n8NQxrY0tTxFiCCx/TeLy0KgZZDGmiEOsH+VrXWKPLb9p46yX5g1P2sjme8xRwrrcXWRWsJZM/UXY1eUyc31hph7V23VUTc4kiomzNnDvbt2yc8n5GRgY4dOyIjI8NJMUQdQRXSINp76gS/neZr5WPn9Xh0Hxejq0WDj1+jddHmERbqHKxwqrzsua2pM1p55BzjTTbU3sv0hNrZ6/GE20PvKMV9AUXvgY/9rQiFW9srlLzVbdM9dQb5mdTEbWFfppxwecxvo5AGMmatRlXXauqsLEIYxXQSmQwbmSPpy9MfU+XF3LG0oxS/hKbOolDn7p462cVGbR3cx/DdkRT41Nfor0vyeMC2Nv+Zu7eQEQ5pYGR+aSN/Xl+yvF8U/LbTBS83+UYZhjQQ1EEV0sClRWft9yD823C+YtSv9Of4e+pka6ivh3qxQjve2clTfZFbC47qMgzORWNgqEEcCXXdu3dH9+7d3aoLEWdY0TiprrNZntsbkY20QW6sBonyNTblivz2cFR1xpo6fsZaz39W9tTFg6aOHdS1efMmAmYCP68JQ/X3eiIfcG3eZquv7oRy0Arx/FVhdzV1+mOqhQALmiddPjH6IvLKETtKUadz7nlR+5zkJ+tGkzGVps4wTzkhMpSdyAohibNiz8u5SiKkgXVNnbFQbuV6edNCrQWJfD+QNr+UzFJvDsa/kCe0JHnV+8v8irn5peziIu+bEmpfw5AGkvmbvTeidvBwFjxDebgx5BiGNGAFOcFvn10NkkE/MFzcdCDouGl+qdfU6c+boRsjDfJwbU+dzfE1EYmZ90si8XBDOLNUHnOZO45S+L+1ZTnZ78GzB3fy0TG6ViRMqbQuin6IisSv4uQpWS+VoxTJa4zz43+kjDZlh3AS0iDJ6w1PbvWaOud9Tr/hX416lVO88GC3C/Gu4/Upv8GHWZ2fcU3cMmM2w3RPnYHJIM9E0QoK1BMZowmtFdNMlcmw4HcwT3HdRNoM3m9ZTZ2qLV3bU2cpuf56G3nFwqzKWGvC/FbE51iC3w/12SSPR6cpNmsDR5q66n9js6fOWnpF4be5znzTLKSB5MKMSICx7yhF/bfRnkJhHhbLdOooRVW25puln/9Yz9OOZYUZtS32nBUcCXWlpaVRTU/ULLKqdbOVF+nymN9um8IZ7qlzlK/6bysfO56WzM7HWDVBh977ZWihjpe17N4Rdt+eG09GPfGU+8CGMN1Tx7kqNDn1eiKDni6kgcv7OM2IRvBxWU2ddEgDC+WJ+q4bH1i+pkduT53T0rUe9wyFYIMxU7TYEipDlIfIA6X2OrO8pEMaSGjqrAp1zrWl0VnwECG/p07unJlmjT3OizNq9p7ZNb/k7qmrvtToG2xHW8oNJl7dEnrzSf57JhaCLO6pMwhpIErntiURIF6AMVoEcGJZYQetl14jTZ09Rylq1D4C7N2Qbk5qlLaWyX+OhLrWrVtj3LhxUmm/+eYbtG/f3klxRJwi667ZSj6uBB83+BDaWfk1K4NXjhFcz2M26qDyZKgYO2SQqQMPt70cKpL5cQUSkwrwTod6k9GeOrf3cfLQ3ncsgo/zcvJr+owIc40Ak6dIqDPOQgq+o43Ib19APBGQ2rxv8I5oTZqtmV+KhTWRcx9tHlb31IkEIHlNnfmeOqvml84FayYvaYHCPtLjosX9TeFzBgsg2v6V5NULdVYWW6wSDmngsuMoo76qtdAwCj7uxvdH7yglgmpMFpiP2g8+Ll70MbzOwaIGL73dffHavufGXk699tJZfvwyapnkZoAjoa6wsBAFBQVSaTdu3Ii0tDQnxRExRvY10E1kbL4/7GWuhzTQDRzOJ9DBfMT5cuuh2j9mTVMn9H6pWU3UZhEawHn3aWdPnRs26CIX5dra8NqDq6kTbHTX5sMKdfo4dSZ76mx8B/XOGtT3zdbADVNGrkDL1dTJPU+zZy1ayVbXyXl/4WmrVJo6h0KdEdowIYYTeUX8t/Yq9Z46dXksVhyzaMtk3xXpkAaq4OP8d8LqopsbzyD8W/Iat7wyGyGtqdP2C9E10L9zSZr9Zf6A3kRTm590nDrOVyV0abQ9ULNl8eBr9kRCijW0MfDU2ij2N398sx3SQNcPxIs+wjwMz/Ha2FnHZ/uIAk2b2BRSVdfoTDij8x2sK8RsT928efPQuXPnWBVHuID0IOPSJEo1GXF5T50Vr3TWytDeu/y1fE2dgVAnjFOnNo3UOUox+OLZCbLrtqbOyj4kQBB8nP3wCFZ4geqQBjbj1MlgFlpBPdGLTfBxXhtKBx83qYjMXjM3vq9m75WRyaBMfzV6DbSaOrt76ozeS6M4bFY0g9r0rEZNPvi4+b1a3lNnKbWegEH7uAXbOrLjovSeOu05Q02d+pg9TZ1JAgNCl7q9sCprGg4Ex3Oxpk5/3LL5pe5dZAUX/pjsyp467d+CMd/Ic6vV+RXXdN3QmZvxGGY0d3JHU8cXpC3lKWnuzEub6DjyfgmYv0x79+7F6NGjMWfOHPz4449OiyNiiGxXd+uViGpIA83fbkygg/mor/YH5IcI/p46cXppTZ2gHN74KGuGoQ2b4BTZkAZ2HKXwsovsqeObX8pMlKxilp921dloX5WTMs331FnLT5S3qO+6sQhgNjExCmmgEmBtlK3d+2jN/JL5rTmpjo0lTmdZU8f8ZoUv6ZAGMnvqYq6pY3/L5aV3UmR8HS/EjJV66c+J32fRZQonrd5Rink9nO2pC17rzsIqs0Bg0Fd5z0bWlByQ6xMqr5ZGIQ2YU2w6dvHULdNU8f2I/7a6p87qm6dAPNdQFGPzSLvjK4t6rmEPbTvYiauYqFgS6r7//nvceeedqk718MMPY+TIkdz05eXl8Pv9SE5OxpNPPonLL7/cWW2JmCL7fZM1LTHD7Y3IRtogWRflVsqwmpfRB5WfXhDSQLNyJnKUwkPW27HM5N0KqsmuQY/hm19yJvhsfpzsIuaX/JAG0XCSoiiK3q266ry4j7rxDhnlpdbUGU0SjGuidvnNb0Or4jKvTN5HmW1ZtaMUdTo3nHSoNHUW2ssovpp6ImltohauCyd+pEhTxzO/5GrCmWtEZmaW99RxsrEWfNz6eC1yUy9Oj/DLIrvYJbsgohP2DRZAtE2e7PXqQxrovrl8oUjWvF57HeCOszKz5xY6pl/wEMW1448mMn2CTaG9N62JIS9ftj6ybaMoimE/tGNWbPWp8J1MGeSvKEJVXrD9xXWOV02dVWugRMaSUNe/f388+uijYbOh559/HoMGDcKAAQO46Rs2bIgOHTqgf//+aNeunSsVJuIfNzwWueIoxcBe3Y2YYMF85AcPufzE50QDsdZJhEgjwMtadmLFPg03dFoic05tdXjtwRP4RR9i7bEkrxdJHm/4mtBH122nACF0ZjQGk3w3NoUbmZ6yqLW7kePMvDaYn0l50dDUyU7a2L5rpKlz2qzahRIrmjOjtlRr6qwtbBidY49U+v3h37ILOEbhIULE2vullT4ZQuu1z0oVpM0vHSyI8NBOmgFBSAOJVpAR6oycdVl9xlovnWxeofrw6sg75+HkBUBnss4rB+Dfl52FGdH4Jts2iqYuRkIQW67hXmyr46nF9AEFSGL+1u5Xd1tTp59Dsfm5I3HVMrnNEEtCXefOnfHMM8+E/37++edx4YUX4p577nG9YkTNI/tCWbFfNsyHudCNVUK1FkR7zvoKGbcMzd9OQxrYmehrzRX0mjrn3i/ZlWI3VrYUwcAtE6fO7IPKDWkQ0tRBoyFBsA3c3j8SytvomKJoNcbsOXuNLGOaBVgIaWBSD7k9ddbuRVYwZaky8NgoY9ZqNPfVCgTGcf00fwsWL7RlqoUW8STHqDxe8PEqSTNbFnVbChyluLCnzooOyemeXpnPiZdR1cnWzShb7buuPid6V/jjt85UXPc90+cl8+3gLeqFLrP6DU7iCGJm44Oi+TdcL/CfWUCRX/TRlWUgjLDfSPaMX9PuIWS/F1qtl74fmNdV+7fV8dTqgoqZ5YzTPXV6s2g16pAGptlxsVOv2oIjRymDBg3C8ccf71ZdiDhD9j3QD0D2XiD1njrnk2y1OZvRRM+dMnh/a1FppSzmJw4+rvnga86HrnPm/TLy243h0WjCoy5Xf5I32TBbyQxdwu6pY/PnmXQ6xey9UKAVFpwvNMjuTdGGwQhh1eFAVNxPm5QTgq2pbEgDUQ2NzO20E227pjx688soaepYoc5v/F7w+otPYk+dVfNLV/fUSb4dbFf2KwHT6+w4eZftC7Ku7LWeVkPX2jFJkxN0xGOpmbWMbu8fRxVsthgiMr9kz/HqZlSOCKP2UC2wCDV17Hslr6kzPG/ju2o8xlivgxad1hRqodSoLxrWTXBSL4CZX2OG9ior+6ATHUeOUqZNm+ZWPYg4RHqQMfn7rUVrkZ6SjDv7ZYWPHSgpx3NzV8IXCKDHsU3w4ICeGk1dAF+u2qTKZ9yarbj+hE668l9bkMOt17tL1zP5KXhi5jKc1uY4DO/WTlXHe6YsxLTrh+iuf2HuKvznzBO5eYfQjhWTNu3GrqISYfrV+4+EfxdWVOnOr9p3BLO370Xnpo3xyoIcFFdG0kzatBtTtuzWXcNOvA6XVeD1hWtU540cpXg9HizZcwAfZm8IH3tqZjZeOvckeDwerMw/hDErN+GK7u3D5x/4azFOb3McTmrZjHuP36zeovv7X72Dnm9/XLcdf27ZjS9WbQ6fv3fKIlzQqRWaNaivy+vrnC26Yz+u3447Js1HvaQkPH7qCdhZVIJXF0Tu+fEZy6AAeObME1FYUYWvV2/GhV3bhO+XnUzfOXkhAoqCU9s0596LEf+dtxqtGzXANcd3wJMzl6PSH8Ceo6Xh88vzD+GRaUvDfyvQThiA/5u9nPmbPwEvq/LhyVnZqPIraJaWiufO7oM3Fq1F0/r1cHvfbgCAiRt3YsKGnZi/e7+ungoUvLYgB9n5h/DYKSegf6tjVRP3o5VV+O9fq3Fljw66a3/buMuwDdi+9+Xqzdw0V/40Gxd1bYO7+nUPH3tp3iq0a9wQV/Zoj6dmLcfwbm3R9ZjGeHl+Du5ixolIOcH6frgs0k89HmD61jz8sWU3Sqp84ePaDzjbh+75cxGmbNmDekleJHk8+Fevznh36Xqs3HdYeI/ahRKjTff/N3s5thw5Gv67wh/AvX8uQpP69ZDZUB3SZ+yarchIrYfSKp+q7bTv6YZDhYZ1Y+8tq1mGalL084btkXyhIGf/EXycnYv/nNkbq/cdwfqDkbwf/GsxCsor0TStnum9WjWP107OZm3fi8mb9WNZ8D4WItnrxUvnnIRGqSkA1Pd535TFeG3QyXh3ybrw+1xQUYlz22figQE9AQDTtubhp/U7wteINDwsFcw9eTwe/Jq7A4v3HMRL554Er8eDVfsO45PluSiripi0Tty4C9l7D6Jfy2NV9zZ2zVYs2nOAuf/geLF070E0Sa2HdQcLuHW4+89FOLZBqurYjsISvLV4bfjvqVvzsL2wOPz35sNFuGfKIl1eN02ch3fOH4CWjRoI7znUJqv3HcbH1fcWWvAxW1i964+FaN2oAZ45qw8AviOegKLgncVrkZqcJFiAANYfLMC9mvp7PPwFhSt/mo1uzRrrji/dexD3T1mE587ui2PSUlWLU2v2H8FH2bl47BS1AmIJ83zYd1YmpMGuolLc++ei8DiakuTFM5y5wh2TFqBBSjKePL0XNh0u0j13dmQpq/Lh4alLUBUI6NqebYn9JeW4b8oi3N6nK/pk8r/BLLN35GPcmq24NKsdnpyZDV9Awb6ScmF6I63yI9OW4I7qb462XsWVVbj/r8XCfB/4azEuzdJvw7rvr0X4R+fWWLr3ID5buQm/bFC/tyEKyyvxn79XwBcIoE2jdDx1Rm+8MHcVOjVpiH/26oy1B47gw2W5ePqM3rrxZvq2vcJ6bTpcpDv26oIcjDytl/CaeMax90uCMAppsKeoBI9OD05sb+/bFUnVm/VH/LEAv+buDKe77viOqgHCF1Bwy+/zVfn+89c5OqFu0+EijJyZbVrH8eu24/NqIVF5+mZVHXMPFeGyn2bqrnnm7xUY0qkVBrQWT/i1Hyrtx8kO5377F05u2QzL9h7SnRv63XTdMdZE6pFpS1UTXCCyAs1b5fR4gIFfTFYde3lBDga0PhaXZrVH3zG/AwAmb1JPwPp99juUp2/m1v/GiXN1f4eEuqt/ma1Lf6S8EvdNWYzvLj+bmx+PMSuDz3Lurn3IYQRlAPh2zVYAQIv0tPBkKDSoJ3k9qhXlUJ8QCSQicvYfCQtke4tL8c6Sdbo0p2jaVdEIB5M37cbUrXnhv0Wa5VcX5GD0ksgCRccmDfH4jGUAEBbqLhmv778h9pWU46vV2dV1AMZfcY5q0vDC3FX4OmcL3l26XtpDIq/OIiZv3o3Jm3fjjr7dkOT1YvneQ3h69goAwI7CYryzZB3eWbIOA1sfi8V7DmLMyo2ccoDSKp/q/fLAg/PHTeWmFXGgtByfrYwsFr3PCIkizFantXyuWYwKLZj8o3NrXVp2MSVcnmmNIqjG2qOlOO3LP1TmxaxQrijAu0vWYczKTejWrDEemrpElVdoEaxRvZTwMff21Kn/Pu/bv4RpP8rOBRAUEt6+ILhfn7189o58DPh8ku6633J34va+3dAgJRkXaPqF1T11AHDZj7MAAAOrx8I+n07kpjv5s0mqsZB3b3nFpaoFHBELOIsygPo5Lsk7qDp39jdTkMcsJoUYv247TmndHA8PFFtThdrknSXrVAttgLmJ4f9WBN/TCzq1wiltjuNafeQXl+Hl6kXXm3t30Z0PKAr6jfkdZT4/95yWDYcKuYscU7fmYerWPBwuq8TYy85Snevz6UT4FUW3cPP6IvXiZwiZkAa895a3mBv6rizPP6QS8sNlMXm+tXgdvuEsYgbTRRKOX78NnyzfiOLKKnw5/ExhOpZ//joHE646V7XQLcJI+/btmq3CfZLPzVmJmdvFwtP7yzbg/WUb0CBFLXYUVVThrj8XYsuRIqzap/6Ws8/iyVnZ4bEBAFo2TMMzfwe/I//s1Rkn/i/4nHMPFeJuzsKgFZ6YmY3LstqhW7MMR/nUBNLml1OnTsWLL76IZcuWRbM+RBzhRjDMo5V6bRQArNIMsGVVfluq9kOl4hUnlt1H1QOutqhsjgAFAIfKKgzzjZbqnifQiWAnXlqBDrC3py7vaJnqb3ZlOBrkHAgO5ladtWkFOpYKxklEaCLg9XiQLOsxQgNrhnKY6RebmVVeI4KausjfecXqiZjIrf1GzUoiu7Io886UMX2ivHryxIYM0eZvBStmdaEiD6naLlL20rxgn+eZ9gUURXofi8gLp130e+rsvfX7SsrME8GayZE25eGyCqFQq0AJT55LOeNECPacSFNn1UW4HYcH7ORd1ruhSINotb7sCLGvWO4bYwSr3XMbrUD397/+Ef5t9JyByHPhpfNxgpzz2F/9DeY9Y/b7H1oIuOukrLA2UgG4Ap0oTp0Zaw7ovweh7+OSPLVQVc4pF1CPvaKQBjxW5B9GahJ/Si2aX7B3uEXyO1Ja3ZcqfNbGuVLJPqi3vFIf2V4QmQuwbZV7yP53ZPW+w9znwfYB1qoA0H+3Qs955b7DrszLDpvM/eIVaaHukksuwahRozBixIjwsa5duyIpKUn6/27duhmUQMQbsi+G0X4BBfzf/Bht1l9FWcckerttd8SxeNiAa7ahPbynjpNMtIeqNgTk5JubAikc1+7W87bePjp30Jo8tEHkRXgk92KFqFJNTIK/WQHJhtfzSH4WJsu8uqocFBjci1/Rh4cQ1dvtmEQK5D3nGeYThVeK63xCUFBAiaQ3Mp/0G9xrevUqu9U2cPpIZIsTjVuyHiN5yAZtN8Jun7FKVrPGOKt9ZlhTYb4vLvivKC6sTL2N98UxeVX/0T4jHRd0bK26llu2jU5jNJZpv5Oi/EVaebP6aD0Hy9TLyBuyKh3zO1QPq/1Z1mTayBslAATAbx8n3xFANJZZzyfJ63FlrI3VO+s20uaXZ5xxBmbOnInTTz89fOzVV1/Frl3Gey5Y2rZta612RI0iramTFJjYw0aulK1gdwJXm4Q6M7wGLgBEWrxY35ZH868biISIJK/X8AMsg51r9XsV1MhuEFe7ale7n+bBcyLCfuCN+ocZ1jR1xkKd2bXapCLnJm7HmdXuqYv2O28ldyM38bp8FSU8IbPrXTgk4Fj1Fuu0zWJ9PbtwYlez76R8u4TeidDCldlzVsL9QeDlVEIQCBXBu0d2oSrsgdjjMVxoBIICgp02C92/zBMTvieCNDKvjPB+JOpgdLvs98BX3aZWX2HZd1YfpkC8aM+mtRMTUV2ucV20uYtKS/J4XFmUTtSA5dJCHc8pCgUTr1sIV5sM/lZr7dhVHWNPWbLYXjW3dVX08okmYUcpnHNuClFOsOp1UQbewB7aM5bs9boWm86KFkH1PhgshrCnjDRUUiEvOCvP7GSP/Rh7JKXdUHw/KxMvJ/2PtydK1GXcnkArivXJHQ83Yp9p4XsIFOTLpLfb90N9xeq46yQWKCCvlRAVE1DsL1S5odmP9eJfKNC8afiXkKZOILzJCP8RzZE4/2BewTKSvBFnVcaeXU2LdoQ4riZfEyVnAsxPI7aIYdOYZg/AWFNnVEPp2HraxUcjYZP57Vyos3Y/onNW94WLSFRNnfPRiqi1yHZpnat225o66y+R3RXnuqSpMxrjRKdq6q7cFO745pfVK9mCvQ9GOK2aomjNkdUVNArBIUKm/3E1dcwxVhFh5NqfV66V18+Zpk7fJsLVb5d7rzY2U3xp6njHxONvKL3duIyhNrc67DqdoMteL0oWDGkgD9u33DC/jJmmrrqqKUkhjaqZpg6G6WQEgchYoM+DPRYqw+uJjDKi2nkE+ZlhZYyW0dSpFsQkepBVTZ3RIp9Znaw2j+xcSa+p09aFPxY6fUusWB0Y4Zb5pRuxkmuCmAp1TlfriNgir4EQ/63aQ8T85gbetqWpszc5casrJkKXDn9ALUyq7Qe/tnddNDSGvJp4w5o6F4VHWS0CNHsoNJfJmuKwgpfMaiL7cQqt8vpUQp31tghlaWU100jINsMfCEi/a+7vqVPUe4Oi/NJb035yVrdFGggoYU+5jjV1loOPO9TUSW8F4KcLaurs1SHZBU2dqM9Ey1Ii2SOrqdMv8rDImV+KhQze/kw2rIzhnroov2ei/EXmhbLOengIv7NSgqLaSiE0dvOuNKqitKaOU76oDPa3U00d73kYC7r8k0kerzvmly473IoVMRPqfvrpJ9pTl2DIBkzVIpqcGg0Adrexy66mGGlFnJAYmjoD80tJk1pZbAt1UZjd8CZxoVV3OyZVsquqsvXRZiEri1g1v9Rq6hRFEZpfGsGb7Li5p84oJ66mTlBvt99JbdnRfuedaj9lNHVsUHIrhJ6X1VXsWGnqxNcrtp9bNPfUuaEFZAnvqau2RNAKZaKvrEhzK6PRNRoL2AWWsPmlak+dQNi1aNodvs6CmCzKX+QUSWaxSHw//LQyt6gVdkLvnlHgeB5uaepEaZ12ZdLUuUPMhLo1a9Y4Nq0qKCjA448/jl69eqFly5bIzMxEZmYmevbsibvvvhv79u0zzSM7OxvDhw9Hp06dwte3bt0aAwYMwJgxY+D3892+bty4Ed27d0dubi73vJbvvvsOV155paX7S1RkzQZYtF0hoNh7ge2uyrv1uibCa28c0sDdSYV9TV009tTpiYqmTnqxw4r5pRi1oxTzwtl3JKDoP1bSQh1HsHGqVZL9JHD31BmkdZOgQBC9/LVY21PHOyaerEb2VNrV1AX/jfWeOtk2F6XyBxRLgiF7f25o6kRlO9VuiEgWOLTRNmPoT6GmTqKf+A3GApH5ZURTx88zXswvrWrohfMdzmilGKRn0XpuNdrDaESlYG6rq5cmYyMhT+UnQfIbbmXctiXUubWnjoQ6Mbm5ufjmm28wYMAA23n4/X4MGjQI6enpmD17NvLy8pCfn4/8/HwsXLgQ3bt3x+mnn47SUn0QzhDZ2dm46qqrcNddd2H9+vXh63ft2oVvvvkGkyZNwsiRI3XXrVu3DkOGDEFBQQHKysxjDa1atQr33HMPDh48aJo2npE3v9S89ILr2MPaj5l234osdk006pKmzhteFdWfk3G1bAW7A2GoHm5OcfjmfsF/7WjqHO+pM9FHqzXcrIAn1lDJtLfK/FLRx3tT7akzuEe2PY0mciJ4VbXkKEV7rdBRinSVDGEdDLmxp86OpYOdtKKrFSa9XfNLT3gyblVT5+yhOHeUYs0WhH2v3Jgkiu7fbaHOoxnftM9ZN0Gv/lOkuZXRVoTNL7nn2LyCdfF6mC0BBo5F7Gnq5LFyb9rfVhFr6sTjPFsub+zlauoMqigb107URyJ/qxcJQzgOaWAylskqhZK8HlcW22u1o5S+ffuicePGtv6vX78+evbsiYqKCrz88su2KzphwgR06NABo0aNQrNmzVQPOCMjAw8++CCGDRuGTz75RJjHqFGjMHr0aAwbNgypqamRRvB6kZWVhbFjx+LHH39Uafxyc3MxdOhQfPzxx+jevbtpPY8cOYJrrrkGzz//vM07jR9ku7R+9U8wOWV+a19PP2fSJkONa+oS4MUPraDxWlhs62+P+NLUie/XjqMUs7xNr1GMTThlNXVWPTFqzS+1Ez15TZ2+DlbeP967Ivuh9lswn3PrYxwSdgOKonKSEO0V3OiZXypMnEJ79xDZU2fteqctJu8oRTwxtlJl9p1xZU+doHDXhbrqf0Pjm/Y5a2thGtJAyvxS/B1UhTSwqKlz8h7LNKvo3sTeL21Xh/t101puiNCWG3pWVutTIaup0/1toKlTmV869X7JOyaeM4rmDEkejyvzskTV1EmFNHjwwQexY8cOWwWkpaWhY8eOGDp0KBo2bGgrDwDIycnBueeea5hm8ODB+PXXX23nkZ6ejn79+iE3NxctWrQAEBT4xo0bh9NPP91UKA0EAvjXv/6FESNG4Mwzz8TPP/9smD7ekd6crjMjE6WLoDe/lLMv12LXjMg9TZ0r2UQVI02d23HqjNxEy0zg3fR+yXvGbEgDqxgJZFLXm+zrZD8iRvlX+tVCmhk+zSRFO9Fj29yK5gyQ8wgXuUY6Kbc8vflldPfUJXk88EHR7X2JekgDS20qv1qv0tRJBiLWEnp/Yh2nzsokjZc2YDEP9h2J5p46l7fUhRGFNBBq6oR76szbzB8Q91iVpk6R31OnvVaW0Fgms0go6sNssWrTdeMKGZ3lhnCCeqFKlL22fe0GH5cV6sw0deq0kd9RCWlgow8ke72uLNrbnVvWNFJC3c033xzlapize/du9O7d2zBNq1atsHPnTuH5wsJCU8FSm0fXrl3RtWtXqTq+9NJLSE1NxcMPP4xVq1ZJXVMbMFLPK4J02kFX1jxGKxzYXXF2S8HmhpelaGO8p85djPYpGJUVHUcp+mNhTZ0Lq+/hciyYhhlr4OTytCrUaScm2gm97MSSfa9DeVp5/fieGuUy4DtKEaV1S1MX0Sa4ZYYlgzVNHe+YSFMXSe+z6dnN/p46W8WFkdbUKfy6+QMBS8/NqXdYLaKy3bZQ8ITHN75DG5FVjTCkgaT3S9H9se3I31Mn/l5E+z1z2/zSaCzja+rkvhy6xb+w+aXExQyVkgs5+j4iPq/eUyeHeAGAsxhjcJNC75curZQkqqMU6eDjNY3f70dSUpJhmuTkZPh8Pkfl2M1jypQpGDduHBYvXiytbaioqEBFRUX476KiIsvlRhPZLq176YXpIme0H0p/QE5TF1AU1R4Hu25n65KmLuL9Ul9ZJ66WeYjdRCuGkptH868b8GrixFGKqE1ku5IC8YIHoN1TFzmunfixG97lQhowJlAKb08do6kzeEY8UyQrJiq8d052rKwRTZ038t6wOUZfqHOoqROkVYU0sKmpC7W5VaEuZnvqoF+0CJZvzQSUndA51RKGyucRdU2d30RTV/2vqD9ImV9C/O1m2zGyp87DbAngoyiKLfM3K81pJVyD9jcPo7OiEE4yfUvrb8AwpIFBLezvqdP2GX6bOA5pwHne0nNQph5B80tHVQnWh0Ia1F22b9+OO+64A+PHj0fjxo2lr3v55ZeRkZER/j/eQj7IayDEg4AoLhfX/FKqTmpsa+pc0rAlwp46o4mD2FGKvbJkPIrx6xGFPXUG5pd29tQZmbXJ1kfR/M2i3lMnztWy+aVWU2dzT52fM8Gx5P3S4asiK0i4tRciSaCpi684dfKwmrqqhNtTJ/st4gsiRtokHmweVuouEoJEE8QkFy0GAGZPncD8UuTUzGlIAyuauiSvR7VflUcsNHVWPHsC5n3e6CxviJWd82j9DRiFNDBCfk8dX/Dnp43g9BNuWVPHnGJTJXk8rszvElVTl7BCXW5uLjp16oSNGzfazuOVV17B8OHDHdWjrKwMV1xxBV5++WX06tXL0rVPPvkkCgsLw//v2rXLUV3cxooGwujvyPHIGe37LxvSwGgfkhHarN16XxPB+2V4VZRTVZG2w+5dGZl+xRpekc40dYLfFkwIRfkFz/MXQLRYF+rY9PoJPSvUGb1PWuFQtnwrdTVCWzcrrrHtEJpwK5pJa7xr6ozShtLHOqSBc02dPLzJmNU923bbRzQRjJWmLvQqi0Ia6Meg4AEnwceDe774N8j2E5WmzsRRivadk8WKYCFnfhn5bdbnjc0veXvq5L6LQvNLbh3E+cjvqTMun/3TTU2dkz11Kk2dS3HqarWjFDNWrVqFOXPmYOvWrSgsLAwfz8jIQOfOnXHWWWeZ7oezSlZWFrZu3eoojyeeeMLR9Yqi4L777sPAgQNxww03WL4+NTVV5YUz3pDXQIj/VgTH7YY00Caxs2qudSVsmNbh+XjAjqbOLqKB0GzlLBpWSLxH7CSkgajPSL8nBmZKQNCZAy9PbduxQp3Mh0e72qyd6LHmzLKTWTshDZy+K1ptR/RDGoTy07gUj/I+XqfeL4XlI+LYxq75Zdxr6sC/NyveUwGt+aX0ZcJ2jZX3yxDC4OOCCbpIcyu770yUTBVOJbynjnXeJR5T40FT55b5pVhTx/Qzgzrw9jNb1tRJml+K+kj4b/DfDac9mTeXs/Leh3BLU5eoIQ0cC3V33303/ve//yElJQVt2rRBo0aNwueKioqwZ88e+Hw+3Hnnnfjggw/sV1Rir5vP50NysrNbspLHmDFjkJOTg7lz5zoqM9HRq+vNJ7/aQU42pIFo1coKVtxbmw0qCaGpY+JtaRF7v7R3X6L2MGuncJw6F+c4hiENHJo9icyKja8RfxABraZOnGllILLiKvOZ1plf+sXCkexTD4c0cKhVsvK4dV47Y+D9EtBPMBNVU8fuU3Ic0iDWmjoLK/Y+weTQSg18KvNLK8Ig/40Ue790O6SBenzTPmeRtYCTkAa+gHiRVOQoJVRPkfdcRbH3bbfieMbqwobZK2PVUYqiyGrq1ONytEMaaFvFKA6xu5o6/TGVdZdB9myd3HKUUieFuu+//x6ffPIJXnvtNTz44INISUnRpamqqsLbb7+NJ598EmeeeSauvfZaW2W1adMG+fn5hmny8vLQrl074fkmTZqguLjY0AOmWR4sb7/9Nvbt24f27dvrzlVWVqK4uBitW7fGrFmz0K1bN6k84wn7E3s2D35+fE2dRJ00f9sxk+F50hOnNVmdS8z3Poxo+LN7W2JzGrN6yLuilq+LvtDQgG8rpIHwuOxqotY1vnbCJZePVfNLrUCineh5bbS5W3vq7E60jXAvTl3EQx+bo93t87JzHmtCnXz5rHBqN/i4bU2dw0diZcWe109kzftDsH3IkqZOJNQJerrRRNhrMwA3IA5pIBqrRAKOjPDvCwSkNHWh55LEeL80tFywcetWFgfdDsthdJa3Z1x2n6f2XYuYX1rV1EnuqTPR1KnOMb+js6dOnJ4tj73WLUcpiRrSwNFy9ccff4zBgwfjscce4wp0AJCSkoLHH38cgwcPxkcffWS7rF69emHGjBmGaWbMmGG4r80sj5KSEmRnZyMrK0uqTuvWrcOhQ4eQn5+v+/+XX37BsGHDsGfPnoQU6AAn5pfMB1GQi92QBnb31GnzkP1Y1gZNXeh58IM/G19jFbuOUiLp3GtPXk5Ogo+rFigEx2WvD+YhFurUK7PqdFaFOm0Z2omenY+xnZAGjvfUaa6PdkiDJGbiGUtNnZXcLZtfVie3L9QF/7XqGS6We+p4poT+QMDinjp79a3y868TauoM8kqy8WKGLklJCv4wj1MX/FsY0kCin1QZ7qljNHXVZXmZOHXi74XNPXWcBSpRK1p9xk4WeLmaOsjtzRaZf1tdJKsUPEu9fwNNHzEow46mTtQWPKwsmIZIcilOXaLuqXMk1G3duhUDBw6USjtw4EBHe+AuvfRS7N69G6NGjcKhQ4dUL0BRURHee+89TJ48GSNGjBDm8fzzz+Ohhx7C5MmTVaEEAoEANm/ejBtuuAFXXnllOPB4XUd6smrgLUk0EdZqyGVDGmjT2FlN8UtqBUP1MqyP5dLjC7cdpRiGNDCqR3iPhc2CuWXqj0UlpIH0h8fM/BLcc9qJFbviavXDwwtpYKfNQzlYKZ+X0spTiLWjFJWmjjOpsopstaJqflk9ybbvKMWmpi7gg1JVZatMwIKmTnFHU6c2v5S/VtSudvbUOdF8JHv45pf6haVgv3DiKKXKL44ByN9Tx2jqBHnaNb/kITLHs7qwYa6pE58XaeqkQxoweRuFNDBCtKdO2wd1QpxgISD4O3LciZWN6P0IGOSvtgKL/A5q6pz3nTqpqduzZ4+0ANS8eXPk5eXZLispKQnTp09HWVkZzj77bLRq1QqZmZnIzMzEgAEDsGbNGsybNw/p6ekAgNmzZ6NLly6q2G99+/bFL7/8gk8++QQ9evQIX9+mTRtcd911GDp0KF577TVhHZo2bYoGDRpI1Tc9PR0ZGRm27zeRkFXPGw0AsnsetAOrnRVVa5o6a/WJRxTNvyxu7+mwq6lzOwhvsEx9qaH7dbM0+cDIinCRI5gP87HkfMRDONbUaWNX2RDh3fJ+aaVk3Z46Qd91z1FKLdtTB0ZTJ9AomRFqE0vjrqJg4GMXoOTCDrYFOysLjPw4dVb31LETV/1CiAih+aXgBtza/xMivKdO4CiFp6kz6kMy9+0z0IKy14faJrinjl+fcL0MzhnBa02Rqb3VPXVOhExeDRQlMv61Lj2EwbmzkBzQ+43QlhvSePIEFyNhRrSnjrcVRpWntgxBWiddWdgPDO5HEfym4OMO8Hg88EtuvvS6EI8lIyMDr732mqHgFeKcc87B5s2bdcf79u2LiRMn2ip/woQJ0mn79++Pr776ylY58YIVDYTwnGCiqo9TZ31/EGDfUYrsVbVhT12ojnzNlfE1VhEPzsbXharhZnPyyrRj0mSUHyD/nmg3vBvGqWNOaScfrBmNdaFO/7Gya8JstXynz1Y6Tp0LQWM9MNhTZ/PlcGsfrzqtfPnsYpbdVWgzszkoCppWleBIvci+9RTFj4Z5W4Jaobzt8LTvarlca5o6Bf/YuxJD9q7CEydej4qkFEsLeYBeUyc7wbMe0sBAUydVouYajXdfnVZem95XpRNEzziwAefsX4eXe1wiaX4pp6kL76nzmu+pczOkQcgqw6MEoHgi81CruZta7RicFmvqgr+XTX0K6f5KlJ5wNd7NGipMx9bDav1Fe+q0cwC9BYl2IYD5zRx3EmvWroO1EOyzCXq/jJDqr8Lo5V9iSss++LVNf+k6JaqjFEeSVrNmzXDw4EG36kLEGdKro7KrKcwfXEcp1amNTOO0JclOTtjr/IE6tqcOiupfFreDfgvNL2FsahIxv3SvPbU5dSvKQ9+N8x3kZ09gFV2vbSuRpk67R6iSWUjzKwr8W9aiUVWZVB38HFMrO304sqfOulZJ5TAp4Mf12+eh81FjJ1jBMjV7AZnfx1QcDT8INxZYPcy+H0Wz4GT3nbcbU5MlOeDDjFkvYHT2l9VpLQjVzH04dpQiKPelnB+w4/f7cfGeZZFrVCYa9sYbKy1eFQhg/ILRuG3bbIzYMh1AyLuyFaFO/S7KanWqAgHU81ehU/E+1XFRexmbX3LOST7v0DfU6F0/Z99a3HpfX1SNexdQFLQpPQQA+GPOq3h8w++4cfscU2H2mIpinDznOyhH9quO/3v9RPw693WgKrLNhQ1p4AFQz1/luqYOAHxLZ+HGFb+E2yrJ40HjqlKs+/MxvJf9ua08IVEf0dnkgA//++slPLHuV036SJ9M91cCAM7bv4Zbrmr+YqSpM6hfhaAPm2rqNJmytWHTOplJiN4u2R7AfhO1cepu3zIT1+9cgK8Xf2ipTnXS/LJnz57YtGmTW3Uh4gw3NHWiiap2AGD3udVLSpLKD7A3OZH1tBmqlxHxL9LZw67DEqMVN6OPYjhAuq1S+Wg/esum/R/uG/80fCvm2cyP+W2jpoqirpN2ki/aU2dkfpm6dglKrzwBy/+Si7nJc5RiV9tt9dqwwx7mWL9lv+Pj7M+wYuqTpteLzC8H5+dg+6QH8GH1hM2NhRadpo5dKWf+aFV6GLNmPo/rd5j3KRmZzqMEkFmkF3BblBWgU/E+nLN/Pfof3opbtv+tq4sZCqIf0uD+TX8BAF7MGR8+luRAc1o14xdUfPIcAkyfbVpZjOy/nsRT6ybo0itQm0q2LjsCIDT+8MtoXXoIr64cqxLEtO+c7ATPFwhg2uyXsPKvJ3DW/nV4dMMkfLz0U1X9WUQTYY8S0C3UpPvKsfKvJ/D28qAFUFIotImioH3JAUBRwvmFzC9DzzkUm5V9bJ8t/ST44+1H8faKr7Huz8dww/Y54fOdiverxoquRXsx4NAm3L5lJu7d+Be6Fu3FF4s/wrDf30bKyKtUdf3Pugk4b/86DNocWUQLhzSAB+23ZOPgryNw1qwvufevQMEjsz/ExDmvwWuh/3jgQdmI83Dvkm8xPC8bzcsLkVlRhDs3T0frsiO4aftcfL9gNNJ95dJ5htD2n/YlB+Bh6iZaYLkobwVOz1uFp9b/pstP5vXVlqsNaaBUyN2LrPmltkpG37rQPVfN+hXXjv0/NK4qNa0HLzftgl0IldAoeFlalBXAP+tXeJUAUgI+NCo/qqpzi4pCtsLoXrQHSQE/6vmr0O/wVniUAB7I/RPzpj+DppXFuGXrLPx7/UTbC181jSOh7qqrrsLkyZNRUlLiVn2IBMRoYFJNhFULtuI9dfUMPBNqy7K3p05+4lcrNHWK+l/1OWfaJy28x5HuK4eydikCioJz963FXZun2cvccl0EAuaGFY7zZrM2NEWrLI78Cf6Ka/hvjclXCO3HhRXq0hdOBgC0qCiCDAFFH9LAbfPLUw5uxG9zXkdW0R7NNdBd037bKukytRPr0AjyRPVk6YZqwcoVoa5am3DtjgVo99odSKqMTJzY5nop53v0O7INHy/7DPX8VTh7/zqk+qvQtWgv7t34F1L9wT1kAw9uwsRvbsNwRoPF4/WVYzHph3sxYvN01fFNfzyMlX89gRblBZGDioLeh7ZKa2lFmroOxfvhVQKo76/E2fvXIUWzr8erBML3ceHaqRiWt1z3LLR7gRRGXHEi1JU/dgUqP34WrXMXh4/du2kquhbn44n1+m0UisLfKxVQxGPd9wvexd1bpmPynFdx5v71+GzJx8goLVDnydzvkL2rhJrlKn8AfQt2AACu3zEfo9b+jOt3LkC33XoNDAB0O7wD02a9iLP2r0PDqjKctX8dvEoAv819A1t+uRPtSiKWUFftXIROJftx27bZ6F2wA3t/uwv/Xj8R/1n7C3KmPI5/b/g9nJYNaaD4/Si9vh/K7r9QuH/2tm2zAQDPrP0lct8eT3isaF9yANnTnsL02f/FWyu/wcs53yN72lM498A6AIB37RJuvsm+yB5K1vzyHz/+FwBwwV8fc69TFOCydVNxzoH1GHAouI2mU/E+3Lp1Vrh/ZlSWYsTm6Th7/zru8+hyNB9bJj+EpT/fg/8wCwDD9q7ExLmv45iKYt01RrDjym1bZiJnyuN4c8W3uHDPcsydPgqdj+ziXpdWrYXT4s2ejX+/dTXO2r+OOerBmyu+waJpT6O+vzK40JC/E0kVZfhh/ju4advfjPmlgspv30bxKWnwzZ6Iqolf4b0pLwnHA5H5pX4rjImmTvXtC/5b/shlOCFnBh7nvJNaeOOz3VBIALBk2tNIe/o63Lp1Nlb89QTefn046hfyLQhHbJmBJdOexqdLP8XnSz7GrFkv4KGNf+LFNePRu3AXHtj4J0av+Br/WTcBjfftMC88DnG0p27EiBH46aefcPXVV+Obb77BMccc41a9iDjArlkZi8hNO8+NbuijayTU6TR1kmYx7ITZr8i7hnDi8SpeUML/mphrKEp4hLd7V7wVtymzX0bybzvhf+Fr/DbvDQBATkZbzG/ePZwmFuaXusJcyk9BcOIb8Kj77curv8e9m6fi2lPvxx+tTqrW1EXOG2vqqj/cxUXotmc9FirN8PyaH3Hy4a2498JROPnwFpQl1YPS0Fp78Ryl2NPU6escYurfLwMAxi8YjQdOuhkX5q3AM72uipgB+32YOvsl5DZqCTQVxwwN0a7kIDoX74NfuYB73qN5Mk5dUV+wdxWe3DARrwx+CP9b9ikA4Iz0Nvi00QAAwTa8Z9NUbGzUEhnMBOqNld/i5u1zMLb96fjnjqCGomlVCV48/nKMX/AOmlaV4ttFH6DxFV8AAI4rL8SReumo8kY+wyO2zgQAjFr7M/7XZbCubl2Zyeu7y7/EzdvnYGv6cejzj1dN72vIziVomJyEzU1PQK/8DfB6G+HUQ5vwxZKP8Xurk1DpTcIVu5fi486D8Xiff4avmzXzeZxQuBvnnfs0Hpn5HgCgS8f+eHz9RMw67nhkVJXil/lv4eE+/wpfowA47UAuTjm0CV92PEdVD+VoAZIDPvi86umHVwng7P3rcTC1EXKaqGPF1i86BCATAHRCZ7qvHCXJ9dGy7Ajq//IRAgMv0d27XwnGUrtr8zRsSz8O85pnoSS5PgDgxMKdAIJavclzg/v1vR4Pbul/Z/hevN+/jzs3r8bajDb4ccE7ABB+jiysqbTCjDMpjBkiy1t//ReZxQcxae7rWHxMZww8vAVPn3A1zjmwHgBw9a6FeCPromCdmH7++sqxqB/wqYSV/6ybgOTWHQFcjJSQ+aU/gMDGVeGFrAYD78SSqf+H8e1OgYdrvudhfke+rycftue5XBUIXgng4Y1/ovHaxjD7wrBnQ4sCK6utETKqSvF21oV4P/tzXJKXHU7X+PLPVUN7uo/f5gDQ//BWTJv9EvoNeTl87Prt83Dz9r/xz1Puw4H6GWhWUYQbt8/FnrRjsLFRS5Q3OT6c9pm1PwMAbt82C7dvmwUAeG/+Bzh18PPhNEPzViDdX6Ean5pVFOGD7C/wZYezkf7waKQDmDT3ddV931E9Bvxz+zy8vfIb4K8ncNJFD2JQ/ioMzV+FH7qeh5SAD4oCVLz5CACg7OFgnz8DwEMN/8ALx18Bj6YdZcwvL9qTjWPGZEN5ajR8M34BPB4oSR3D548rL8RL0z/F223OxLzm3XVziszyQtXf7Jwi9I3Ujs9eJQC/EtwHe9b+9fhPr6tx87a/keavROC8ftw6szStCiqVhuSvQrtqE+Lj1i/E9wvG4mBqIxxJSQ+nfTQ3uAh65e7IItH9G6eEf9f3R8YWb5k1oT9ecCTUXX755di1axe2bNmCFi1aoFu3bkgSmM6FwhD07t1bdbx9+/b4/fffudcQNYvs1MhQU6dKF/lLb8cNnLRzBY6U10N5o04G+akLk9XUscmsaeqcnY8HDPc8Vp9qUVaA2bOex9j2Z+DF4y9H40N7oCi9hdelBHxQysvgqZ+mOs5rj9CkyTf5m/CxtqWHVWmsOErpcnQvGvnKsaJpR8N0bitRRe14TEE+tv3+AL7seBZG9bo6fPzezVMBAC/k/BgU6jQVS6kqx/zpz2DesVl44sTrMODAJqxu3AZHU9LCaUtvPAXvbVuPkgF34qGNfwIALs6diRcXjQEA7L/kTm6dGlaV4dRDmzDruJ6qyXNaRQm81auYx5UXoji5vuG7kBTww+/Vj+l+RYFSVoILXrsBD6Z2wuisYbo0rcqO4PfqCcv++o0RUIImWo3XLcKJhzbjlEObsaLpUN11WtZM+Xfw3wtOUR3vvG8Tcsr98DDV7160B76mjQAAw/csww3b5+Guk2/H4VSO8Kgo+Ef+KqzJaIvdDZqFD/9UPWl/acZb4WNt8jbB2+1kAMDA/RvxyurvAAAzjotM9G6uNl0LCXQAwlqGVI0gklW0B0unPY21jVvjwrOewL83/I5vO5wRqZpBe2jL61Si3s/U5eheXLInGx93GRwWXNJ95fh4TvC+1p/5OH6eq3Y2dnHe8vDvu7ZMVwl1Ic3TJYyW8drc6Xh63QQ8vW4CipNSASA4AQ3V3+PBlDmvAADKkuqFjwcO5aPskq5Y0KgVBlzwUvj4RXuyMW7R++G/tQIT++6xX45/5K3E+IWj8Wr34bh650I0/OMA2q9aDC0BBWi5cw3uXDUufOzdrkPwSWe94AwAbYojK/1JRYeR9sFIvA7g1e7Dw8cb+Cpw87a/sbxpBwT2bIO3dUeVBrMZownyK0DPwl2o8iSjgb8Cq5q0BzweNGM0ggMPbwEQ0TgDQKOqMvw6702k+SvxY1t1/+fx5LS3oBx9Bs1euhW3FTTE2szuACKLZ0MWfo/uR/PwzNpfcLCe/p1oyWiCH974J/5aNghAM93CiSx+RUHDqjL4PV4M27sSz635CVjzEw43b8dN37NwF04/uBEYEKmzolkCfm7NT1jbuI1KoAPUQq8MXYvV2r2Psz8DEFxQefb4KzF35rNh890QB+s1xLMnXMltj0as6aGi4IeF7wbzO+HK8OEXc8Zj2N6VGLZ3pWn9WpdFvpFpJQXh36fkr8XEv1/FmDNu5V7XpLIUz+b8iLblh3HbySPCQtWxRfsxac5r+LTzefigywXh412L9uKcbYvwcZfB4XfQd0JflD93GwCg/nPTMGvm85ia2RsnFO7C+XnLcf7WBWh8xRcIKIA/N3IvCoDm5YXIqCrD9vRjMWvmC9jW8Dg82ftaLJg+Cl92PAvP974mnP72LTPx3JofccOgJzB+wWgAwGkHN+Kkgu0AgC8K7oBv5Xx4j2utu0+jeU3Gns04vbqN3+s6JHw8WdFrK9nFl9A3GwAsOkeNGxwJdSeddBKaNWuGM844wzyxgA4dOjipAhFFZLUmtjR1GmVJg80r8MbEUQCAE2/70SA/9d+yds+sNsLSnjpTj1fG5088sh0PbpyC5064AjvSm4ePe5UAkgN+VCal4LjyQpQm1UNxSlBA+kfeSmQdzcMHXS/QrWbbIayp41Q19OwezZ2M1mVH8PiG37G3fhPc+vM3qFh3N1L9fdGrcCeym3ZEl6P70KtwJ35pMwAb/ngExZPuRcN5RfDUSw3nZywsmzsFEF1+4Z7luDgvGw/3vRHLpz4FAOh84Ts4UD9Dl7Z9yQH8e8PvWN30JgCcRSaPJ2L+y6wksgzLW443V36L2/rfiQXNs4JJmfPs70vnf4umVSV4eOOfKqFOmza4pyVoWpXur8Bv3QejV+Eu9CrchbUZbfD+8i+xpnEbnDb4eTTI3w7lhE4IbAuu2F+5KzJRbVnEOGFg+n+arwKX7V6KaZm98OXij3DmwVy8kXUhnmcmFWvH3wGMB0469z+YPesFFKSk4ZYukdV+lkc2TMIT63/D4HOfxuom7cPHh+9ZhgaLklBVehAtNmXjBWTj807n4p7NU/FzmwHcNmpfcgBJe3fAf2QHwJgBaSdHIQ1Os4oinHkgF5Nb9Q2fS8/NRtuSY5CkBNC5eB/emP8W3gCwrGlkEWjJtKdxzvVjACTh20UfAADeXf4Fbjzl3qAmVVHw2dJPsLd+Eyxs1g3fLQpqnn5oewry6zfBVx3PCueVUX40/Lv/mukoWDMdGxtm4p3uF4aPD9q/ltt2kTbw4KTDW9GAMcHqWbgLl+0OCkjHF+3B2yu+wmV7lqkmFOxEVrVvR0LJHHo/MssLML7tqehVuBMTW0VWvHnOGLS8tPp7lHtT8FqP4dzz3Qp3G17fhdmfxk6e/fP+AAB0P6oOb8QKdCEySiITagXB/u33eFUaprdWfg0AGLkhYvbVbMmf4d/tSg7iuPJCpBzYjcaFauclD2z6C/dtmgoeiie4cNWoqgxexvQ2WYkI56PW/IS7qx2xlPz9MlJueATKuTeFz/8jP2Ja/PzPTyGiwwFu6z8CP7Y7lSscsHvIHt4YuZdFzbqEfxsJWcVnNUF9AG9X/x04L+JttJ5AYyhiyGePYUzbU/BXpniBz4ikgA95E++BHx5VX2Kf4aQ5r+Lq0x5CkhLAounPBI91Uk/im1Sqt/iEFl5UZSkB1Rfm37mTTOvXwFeBsw6sxyxmcaZRVRm2Tn6Qm/7YymK8v/xLFCan6c6xT4QVHti6tywrMK1TiP7VQj4AeJj83l0aFD5vn8d3+tK4qjSs7TvtQC5yG7XE7636YeDhzehUsh8vr/4eL63+AX+07IOXjr8Ms6rb/DhGyxbYFfEcf/1Hd+G4I9vQ78g2fVn7d6D0gYhmXPF4sGXyQwCAmwbejRMLd+LEwp04kpIe/kY+f8KV6H94G1Y1aYe3qheCRs+PODEJCXQAcMv/DUbYFuLff6nK1k7NhuSvDv8+4Y9Pwr9ZR03NK45Ci8hc1ef2qnCMcDRjfPbZZ12qBpHIGGrq2H1CTDrt3KTR5sgLmWIQ/kIrRMmaX2q918lq6pKPHjY8b6apmzvzOQBA5+J8nD3o2fDx+dOfQceSAzj5gv9i3Z+PwefxImvYW/h5/lvoUxDUbL2w5kfc3e9WjO1wJjfvB3L/hBcBvJN1Ife8KYqCh2d/hBwlTfURGrX2JwBA1Y8fYVyLXjh/Xw6e6nUN/pvzAwCg0pscHhyVvO3wdMgKXyvbrv9b9inWN26FVU07oFFVGd4Y+yAqfLeiXiALN2yfg7nNe2B/amOk+atwOLVhePK9qVHLcB4dSw7g/ewvsCajLV444Yrw8R8WjEbPoj0o/nYl/nfhu9zyT17/N65cPAkDDm/Btac+gOXHqLXD3y8Mljdh3ptocdn/uG33v6X/w44GzaHUi9xzmq8CF+5dgRktTogkDTncAOCpKA/vQ1leFJlIvL/8SwDACUW78czan3H+L5NRLHgP2AWK437/NPz7hZzxGLF1JjY2zES36on0jdvn4vkTroRHCaBTcUSjM3vWCwCAJlVlOO7wHmT/9X/4pPMglcnfs9UmRq+tHIt/nBMUFJpUlgSFpUUfQLn96XDa/67+Djdtn4v/Yzy8aVfY297cF6UAUu56I3zsmEMR4WDI3lX4YcFo3H/SzXgkdzI6l+zHyz2YCYPPh7XVWjsW7QT3yg1TsaZd5D6G5y1HwS+3YUync/FFx3NwVbWAXC8Q6fPX7FoEAHhwU8QUR+EI+92K89G1aK/uuBGhtg6xaPozeL3apA4ALhPss3sw9w/csGMehp8Zuedz963jpj358Ba8l/0FXux5efjYgEObceeWGQCAcm9K+Lj2ufAIOTwpT4pc91i16RIA1cBnpsVpxk6kmDZP9Vfhzs3TMaXlibpr7t40Fa/+/F34b29VJfb9dheOpKTjG0aj2UajSQGApIrIJO2ivStw0eQVwGQg74qndGlF2h0FHiya9h90Lc7HigE/h4+zWuGzq00kQ1R9+xa65BjvmQzx2dL/YT9nQQpA+N01gmc6KaL8mZsj1wXYBRU5rt61CDsaHCtdHsux1YJ5EhTUC0T21zU9GNl/dtaBDcj/7S7Vda13RhZLmlSVYOfv95mW9Z+1v2BBy9ss1e/Tpf/DxXnL8RXzjQ3YNs/3wKsE0LiqTKWd1qaS5ewDG8K/vX7xQpiW0FgGBE2KW5cdwXn712FC65Mj+UHBRXtXYNC+yALPwMP6EGAAcFz+Fu5xKAo6r54prMdXiz/i1vnx9RPx5Prf8DMTXiAg0RvTy4/ig2WfoTClAeoFfDhtkwd/HXe26XVme3rrc2IDAonr/dK5GoCotThdp/Blz0HvRy7HpT2uwa9t+kf21Ph8aFyuXjFhtX31kryo569CJTOhCKEToirlPD+xE2F/QEEACur7K5ES8ONoin7VDQDu3DwdV/58Cyoffh31bnyMmyYkxCQF/HgxZzzmNO+OP1v1RduSg9jdILLHtNtR9UTw+GonErduDdrjJysBPL12QligC/FR9udcoa5RVRleXBP0MPdlx3NQUC9dlyYEz+sgAJxQuAuXrp2CSwGM6XRu+Dg7cTl/Xw6A4AbjEAOYFUTF70fZQ5fA2/tUpN76hPH+LM3Hcu7M59D4ii9w1+Zp6LZvIyrffQI39xmOS1aqN1vf0f+O8O9MxjzonP3rMLR6nwEr1PWsbtuG5fpVOQBQSo7igQmRdfOvF3+IE4a+gS5H9+LbRR/gTUZITg34cO2OBbh+xzz83vFVKJUVQEUZGm1eiWt3LgQAzOr1j3D6l1d/h1u3/Y0lx3QOH8s6uhfP54yH58ApAPOBuWsNf1N5ePIscJziEzTx8GpzJHZSqAB4cfX3eGDTX/yLAHzyRXAi9Maqsfimw5kYvC8H29KPC58/7dAmFP18C46kNFAdB7P/4Kbtc4X5a0nLi/Sfdjsjk4rvF4yGFwo+WB4xvWMdi3jL+Q65Gmo82d23fDzO36Svz+1bZ+H26vcNMJ8ciaYZAReigPDMgLS8sCZosZD7xyPhY+wqNstvc99AI195ePEDiJhNAvrxRxatRi3Ejap2NIYVWhVmcnrg1xEAEB7HWF5d/Z3q7yHfPQsguH8myeYK+vBfXzdPxBDSMB6THRn7LjFxdNN01RzD8yy/z30dfo94AdM1yiNmgYOX24vRm+431/Bdv2MeHtg4Bdee+kD42Dl5K8O/ky1MklntNE9DxOOhjX+ie6p5OpaQ2bF6/DJ/wTN8eu1Oh9KDKPglOJaedd4o7nXn7ecvyoTgLSQB6vawO/zwFo/SGEFbtdgj8Y6NW/gezt67Qqpsdqx9sFr7fMXupZHiJATpr967UndsIWZwUqrpUWRsVSAiUTV1MRhRiEQl1KcHHNqEX+e+ofNmV/H+/6HssStV2jiWsvuGIqXokC4+SOlNp+Kz965ER0ZzEGCktT4HNuHgryPwzJqfkOqvwpn71yMl4EPbkoNImfY9FJ8P/g0rUPb0jXj3pfPxQO6fSDPYFA1EhK8ehbtR74+voQQUbP/9fuyZeI/w2tdXjQ3e59v/DprOHS3QpUnbswmdj+bj+h3zce/mqfhh4bu4eudCrJ3ybyya9p9wOgUedCvKw43b/lYN0CwN/cYCan1/JbzVrq5ZZwEpAR96FO5WefMalJ+DK3YtRkrAhxfGPozy1/TmJA0kPtRs/UOwK1++2b/B9/dEVL4XdElvpKkTnWG9g52yZZHu/Gsrx4Z/syvUpx/IVaXrVpQX9tIX4vjCXXhmzU9qE4sytXDQrvQQ6vsr8WH25+hZtAefLVVr5v637FOcc2A9LpzzJUou7IDis5qiz1MRU6JzcyLanZCgxwq+QHDC0eLaHmi4a6Pu/mTozQj7jSv5ws2xHNMSAIYCnZZ3l3+JsYs+wIIZ+klJ06pSlVBR+cUrhnmxEwYZkriOfCL9TiQGZXEEFt4xLXduMZ4QyGi0zBCZSyabrB7LmFmyNDJx0f7Ixj/Cv70uT1YaCLz7cQmYC7NmsGaqVkj2y/fHUw/xQzV1ZvYvNpf0OOsWrCnmwMMC7YkFmlXKO4K4R8Jj8cfLPkPPoj14c+W34WN9DkcEMlYLbkaf7Eh/PWv/eoOUav6R86d5IhOu2M335GmFOdUWOoD6uZkxeB/fNHrAvB8c18kMq0LdRRyBTjRmsmMOT8vcUNKDrx1YjacVnvrkdviWzXa3MjGANHUEl6pfP8d5bz6KD5udEN64/f38d+Dfehn82X8j5fI7UPlZ0C1xs/6X665XFAXwVWqOBf8NrAuuGF22ewne6h40Q2Jf83sWfAkgqLFoU3YY1+5ciE87nYdbt85C0hQFVb4yVLx6fzj9i2vG4z/rfkHmJR/jqfW/IikQgBcK9qQdg4mt+2FvWtOwsLF4+n+A6UC7O94MT0Y6luzHuoy2AIL7GYbvycZiZv8CAFS8eCeqfvkUaZ/OQvLJ5wTrXHIUpz46GCug3kAfcrHeQ7PKvWza/wXvn1mVYlewrtql3+Afol3JwbDDCAA4k1kJ7Fm0B7/PfR0BeND6kg9x/8Ypupg4Vd+tw2lDGmJzemdcuWsxOhfvw+zjekYSqExjjQf0qxjzDmi0JyHZPKOyFMP3LMNExuSDx/M54+FjVqtbHN1vkDriHRBA2IwRCHos/GnBO1jB7P0CgIXV+wWamMTP2f8r3+EIS4Oyo1AOGptGmZlFtVo82fC8iLbMpnlW28TCExRkVkBZWNMdN2FXwpOP6k3mRLD1V2LslUjUdo/m/sE9bgUnbv5jWbbRmGSH0NifSCRV8McO3v4cy3nXYD+IFiHrDrdwQ4CtTYQ8PLpNk6rIt9y/ar5BSuukMQsqvMW+FlqvmXFC2Yjz0Gh5Yr2jrgh1hw4dQm5uLvbs2YOyMrHE3aZNG5x33nluFElEGaWyAvWKC9CoceR5ti49jNIreurSephYNB4lgEv3LINvz1m6dAoU+LeoHQt4lQCaVJYic31Em3DC3shkPaT5uIOZzPuX6FfYUwM+3LLtb/x7g3pz9L2b/kLvoa/rNEhnf/ooU6/I5O22rbPw5spvcbTaa1yIql+Ce5cq3v8/JH08HUpxIVAaWenUutnW0pDRig04ZO0jtXLKSJ2Hu5FMPJiQh0EvFOz97W5hPu/99V906zokvF+GFfzYyUVj3qo/M79VuS3WtKt3/y58tGxM2APgE6xwuVCvMXpIahXTXDAJLTywJmcsJwqOm8He3clr+cIUi5l2qt3M7wzPu43OxXQc0HbW99JpexVG9t50+f0jg5Tu44KVpdDcKtlEY9UkiivXPTQWF7HEv8I8SHu80WbKlzVdBYKIOqxzI7vvqWhBmA0hkFAkoAmmI6HO7/fjwQcfxGeffYbKykpTT4Bt2rTBzp07DdMQcUJ1aAp2ss8+Xf+qBeHf575xM4oAfNbxHCxu1hX/W/Ypyi/+KJwHEPQylbRuGUrvVQv1y6Y+pRpMnMCbrHQoDbqm9gcUJAkmUorHgwGHNmF/agbOzw+uMorMmQKrFqD41AYAgLSPIwGC2b1eZtqakCtyALh+xwKDlEG0Ah3AN32Q4X6BKV4SjFejOpYcMM277Okb0XvyN2D9pLEapmhyqcleF5Vpos2N8NoAy7byqIzeZJ1wl2h+zlmNc6y5wGVNCkEQBBBZhCdqDkdC3euvv44PP/wQd955J2699Va0adMGDRo0EKY3OkfEGdWxqVjhoR6zuZ+NORbitm2z0ZY1DWCEm/zf7kLVWrVb5HR/hT2BTjApv8NgotSwrAhbJz3APbdg+jNh0zUrrpv9iyL7DK7fGRHOrMTLYeMC1SQ3WnB0waIwWlpen3CDplX8PWRWUAmlFkyeePu8iLpBSxNTYIIgCIKIJxwJdd9//z0uvPBCfPRRbM1iiOjjEQSRN0O1CqxxoJLChC1wgm8mP66WiNdXfouy5m3QVLCvit2LxMY6sYuMVqu2UPWVNY9y8UDlmJfMExEEQRAEQSQQjoS6zZs347rrrnOrLkQ84bUn1FmhexHfXbbb3LllBkB7rQmCIAiCIIhaiqOQBqWlpWjYsKFbdSHiCZuaOiuEYsQkKpVfvlrTVSAIgiAIgiCiQGmV8730scSRUNeoUSMcPhwbRwhEjImBpo4gCIIgCIIg4pHV+xJLxnEk1PXq1QsrV650qSpEXEFCHUEQBEEQBFFHSfY6EpNijqPaPvHEE/jtt98wfvx4t+pDxAsxML8kCIIgCIIgiHjk5FbH1nQVLOHIUcpFF12E8ePH45prrsHIkSPRqVMnpKenC9N36tQJ77zzjpMiiRjhIU0dQRAEQRAEQSQEjoS6/fv345lnnoHf70dlZSWKi4sRCIhjQBUVFTkpjoglpKkjCIIgCIIgiITAkVA3cuRIbN26FX/++SeGDBniVp2IeIA0dQRBEARBEASREDjaU/fXX3/h5ptvJoGuNkKaOoIgCIIgCIJICBwJdfv27UNWVpZbdSHiCdLUEQRBEARBEERC4Eio83g88CaYu09CEhLqCIIgCIIgCCIhcCSRtWzZEnv37nWrLkQ8QeaXBEEQBEEQBJEQOBLqhg8fjpkzZ7pVFyKOoJAGBEEQBEEQBJEYOBLq/vvf/8Lj8eCuu+7Cjh07oCiKW/UiahrS1BEEQRAEQRBEQuAopME555yD3NxcLF68GJ9++imSkpJQv359YfrOnTtjxYoVTookYgVp6giCIAiCIAgiIXAk1D3wwAPYuXOndPr27ds7KY6IJaSpIwiCIAiCIIiEwJFQd8stt7hVDyLeIE0dQRAEQRAEQSQEFI+A4ENCHUEQBEEQBEEkBCTUEVw8ZH5JEARBEARBEAkBCXUEH9LUEQRBEARBEERC4GhPXYhNmzZh3rx52Lp1KwoLC4XpOnTogEceecSNIoloQ5o6giAIgiAIgkgIHAt1//73vzF69Gj4fD7Ur18fFRUVOPbYY9GgQQP4fD7s2bMHHo8Hbdq0QdeuXUmoSxRIU0cQBEEQBEEQCYEj88sJEybgzTffxEMPPYT9+/cjNzcXiqLgiy++wLZt27Br1y6sXbsW/fv3x6BBgzB9+nS36k1EG9LUEQRBEARBEERC4Eioe++993DGGWfgtddew7HHHguvV59djx498Ntvv2HcuHH49ddfnRRHxBLS1BEEQRAEQRBEQuBIqNu6dSvOPPNM03QtWrTA0KFD8fnnnzspjoglJNQRBEEQBEEQdRQlEKjpKljCkVC3a9cuZGZmSqXt2bMnli1b5qQ4IoZQSAOCIAiCIAiizuL31XQNLOFIqFMUBUmSk//mzZvj4MGDToojYglp6giCIAiCIIi6iq8OCXVpaWkoKyuTSpuSkgK/3++kOCKWkKaOIAiCIAiCqKv4qmq6BpZwJNS1aNEC+/fvD//doEEDAOAKeuXl5ahfv76T4ohYQpo6giAIgiAIoq5Sl8wvTzrpJEyZMgWB6o2ETZs2RePGjZGbm6tLm5ubiw4dOjgpjoglpKkjCIIgCIIg6ihKXRLq7rjjDuTk5ODiiy/GkiVLAACXXXYZ3n77bfz000/YuXMntm3bhi+++ALffPMNLrvsMlcqTcQA0tQRBEEQBEEQdZUEE+o8iqIoTjL47LPP8OKLL6JDhw6YNWsW9u3bh2uuuQZz5syBx+MBEHSocskll+Dbb79Fenq6KxWvjRQVFSEjIwOFhYVo3LhxjdZFURQUn+RI5icIgiAIgiCIhCR98jZ4W3Wo0TpYkQ0cC3Uh/H6/yhNmTk4OtmzZgqSkJHTr1g1ZWVluFFOriSehDgCO9vXUdBUIgiAIgiAIIuak/7YJ3nZdarQOVmSDZLcK1YY26NWrF3r16uVW9gRBEARBEARBEDGhTu2pIwiCIAiCIAii9rDl2I41XYX4oC6FNCAIgiAIgiAIovYQIGd5QUhTRxAEQRAEQRBEovB1hzPDvxUS6oKQUEcQBEEQBEEQRE2yO62pdNpKT8TNBgl1AJJTAL+/pmthCRLqCIIgCIKo8yxv2qGmq5Cw/JXZ23EeR1IaOM7j007nOc7DClVJKTEtL5pUMYJcoptfrmvc2nEejZZWIqn3KS7UJnaQUEcQBEEQHD7veHZNV4GIIftSM2q6CgmLz+N8OvlDu9Mc51EVY2FkS1u+l/cNjVrFtB5u4GefoTe24sGYjue6mp/fhf6YiNTNuyYIgiAIE6q8rkX9qRMsa3l8TVfBEexE8DsLAsbyJh2iUJvEwudxLky5IRjGejLvFwiRmxu2iGk9WMa3tadd8jH3oiRFXzie1iIiEJe7oPH8H6OlDaBuxlkmoY4gCCJO+ab9GTEtb1+qcWDTWOHG5M4N3Jio1iUCEs+tNKleDGpiD3ZSW5SSJn2d4olMICf1GCx9XWWcLxpMb3FC+PfheumGaVlh6t2uQ8K/lzXtZHgde14kkO1s0ExfnmDSbncyX5Rc39Z1ikCjxd5LYbJ8X7LLO92Gcsu2gp/px4rJ2Gf2XGWoYPq/z4KGtVzw3rD3HfCQUEcQBEHEETFfdY4TYYpdwXWblU3aSaf119GJgV387AS3vvP9USybGma6mh8P9nlbEbjY96ZeCl9ozW3U0n7FQgjyjhbsfXkU47SsQG9lcu3z8q8zo1gghNkdw35rfTL3+KoM4/FCtJDhxli6tvUJ5onC5UXamV0UMxvBKpo0D/9WmNQpKcb9XxFk/K3JQiQrdKv6CXM8v4+xKea29OO4x9X9Tr793+9yQfj3kRTjxYt4x5UvuM/nw4YNG/Dnn3/i66+/xvjx41FZWQkAmD9/Pnbv3u1GMUQdJBYf8rrGWhc2EMcz/sbH1HQVAADlKfZWfllqk6ZItLLOTRtF4dLKx/6ibu25x3kr7yIvc5M6n8k9boX8AUPNE5mw9Bj5lfUNTdpyjxdl8CdTIdjV/XrX3i9dnojS5pF65Nc33u/2Z+aJ3OM/th0oXR7bN6osvHtsf01JjkyGx7mwRyz/lAsNz7shLM5u3oN7nJ1oN6xnPMn3Mvd9WrtIncze5Q5NI89VJAA2byA/lrJ5TGx1kvR1GWmRMnaccbl8eYyG6c2sYeHfp7aLzF08MJaIWbNBVstpJhDvZywrFIGw1CwtVXfdoXoNw7/TT/9H+PdlWREBtsuxxl4zux4TKXvxMZ3Dvxsz7ciba7At4U2OtN3QzpG0rZvYsxixq6mrSIr03cmt+toqO15w/OWcNGkSevTogeOPPx4XXnghbr75Zlx33XX4+++/AQA33ngj2rdvjzvvvBOBQMBxhYm6RV1VoUeTHAuainhh+/EWJsZx0meO9HTuNSvW/V9xoTzR/qJvO8ibkorue1bznnaqZJusYyMTzrV9/2GQUj2pYmnb1LlJaxubkxyW4iT5ifHy47pxj5c1NJ7oqZ6bhb7ELt6t6B0xX8w4M9LmvMmpiHq3PRX+bWWBIK1epAyRJoIHe9/sXiSzstn3bU3jNtw0dp990hnDzBNVwwqzbKwy9r5Sko2F3LbHRN6V4zMj5pJmY1izhhGNbpemjbhpGnC0RineSL4/txnAvc7KoliHZk0i9TARaFgCAm2mlfee7SesoxfFpP+sbMJfdGLzS0sy6f9Mf+1xbJPw73opxnvcjmHex8XNuoR/dzhG3tlQq8aR531ii8hirIdpg0qTZ/hR58h44Rdoi62Q6HNOR0JdTk4OLrvsMnTs2BFTpkzB5s2bkZOTA0VRUFVVBQBYsWIFXn31VYwZMwZffvmlG3Um6hCiF3NBs64xrUfy2cNjWp6IlKvvcZwH+6Ez2+A/8zj+JHpSy9iuZhU252sOeLBD8sIY9xMVLnhhixdzyLHtT5dOe1SgoQxY+NyI7tvsg1vQLqJx+L6b/N4mlt8Fq/sBE29wIoGYjfd04Hibmhtm4rWDs7+IpTCNP6myMlkJMGNEyuV3SF8nchphBdVEVmVGZmL/J4DtSzxtH6vtYJ8xK6Rb+d6IzBDNyG0c8Zbo7cH0QdZhhaJvA9Figrd1RDO7hNGk8GDrWcCEFVDVn1O2qh7Ms2fv2rQNmDb3MH101bk3GJfH/BbtwbUimKveXwtOQoSu/y28C2wbsc/TXo+3tjjnEdbfrO/yNYNW4tsJx1QLnjdVZTO3LXovQqzK7M6vU4I7WHE0Y3juuefQpUsX/PHHHzj//PPRqVMnNGnSRJWmcePGeOyxxzB06FB89dVXTooj6iCiQS3XgrvgecdmOa9IFD1BeVp3lE+c6nzDNWt7bzZR8gtWyVQTxAYNuWncRBHsb2HNSHgcSOWv/FqBdRbAst6kD7oRvNWuUDe5ZZ/w75QbH3NcjyKbG/2/6BAJCcDut+J5hivzRlaG2Ynx/qzIKryVzfRseVYm5ap9RGw/NxPqRMfZOpvUf+ZxEe+R7Aq0lUnOqvb8BRcrZqeqyVaS/N4yK2WIULdXbL0hiupv5iZfNYG0aQLG1jN54PnMGTYP4/F6eRajDbfwzRLtRTJ7nv7mEZM5lVDHVNlvMs30iLS7NoUiu6j6nYX8hAIU0/68FJ62Ee2WlXFNpmxTDTH7h4X3W4RKU21FqGPnFxbGWhaRQGxGYf3I3EBkupqIOKr92rVrcdFFFyE52bxTDBw4EFu2bHFSHBEHLDj1Ku5xnncqdpLmRmBSFisvnl1Pep5MxkzR5dg3X3Wwuc+GGeymCPaQmGFtkiPwMGYhjy87nMU97jnGeH8Oi8jDWBnPDbKHP0DPP/dG6fJYWNOwVadeJn2dqM6swMWDFRZF7b/fxEul6vnYNCdhNUJsO1ox6zqcGtl0bsUUjU17qHMf6TzYe2XbwIrJscg5ipk3OHGdWPMsE20H89tnYZLJbu4XmWxZe+/lBVF2ZVvU538wcbHO3rdKoHRjYcRkmqMum52IR85YaTt2UmtFO23XdJWt/5HGEacXENwLD/YbqXZkYVInldlpZB6YpPKiaHIvzHm2tcxc6rO52p3Ye3r0i1zHPmMLgo7o/lgNmNl774Z2iH3GlvZiu7BgzfZzdgzg3ZWqvdgEMRboRf3EjYWpmsRR7bdu3YrWreWcLmRkZGD//v1OiiPiANEqTIXX2P6affFe7e7clNGaKZF5Nzf1eCS4b7sCo92BiP1QWGkDdfwWCxMNwcBnxSug6APjbW+sQVUJrTYFE9Wzt/ChSOoTMTdkJ9d+k1g6bH9QBBMD1qtewCQ/tp+sGTYi/HuLhRhI7Eq4lRAJ85pHzFOs9DXRx9JvQbhRpRUcN62HwAxuavUCk6cJ34xREbwfIoHFtB7sdRa6sepeLUy82PJez7oo/NvsGbKOVERBiE0np4J3ne3zpoItmwdz32amaHa1FiwiczArEz22/U3fG+ampCbiPPNLlQDFf25mBFSLIaz5n/wiCnvfXlUe8qhay7T+9oRudYECDZNNQUcRCSn81OFfbP0rmG+CWQ6id8mS116XF6wDblg1WTF/FQnVLphrJyKOal9VVYV69eRc7CYlJcHv9zspjqghitObhH+zA/eYTsZuZ1ncflGs5Mem/blNf3sFCgYZdoMwj9mZEdfsbBwZM02Kv2Fk78fi7mdx09ptAysTdFag2dAmYoZo+rFnYMt7m2kDu6ZVrEmfGX6Tdraah9nkTiXQMG33tiqGUJLqCl0egmesmi+48MEqbNBEOq2VSS1bN7Y9rKxGqxZLWFMum6Z07HVvZF2EX69+Bg1+WCWRiz2zIlU97F7HlC3c98JBEWhorLS/3cUQkWBlaVHAy3+HLFEvsq/Tyv4i9r7tmmSJFhNEeFp1ACB29mEFVij1CPYHWsFMOFAZhjKCOyvUzTmO71kz+YKrAQC+6x8JHzucEVysCsBj+r6Jno/M2Ojt2KO6DteEj1nREHua8RfV1Ga41r6zzx5/BV7vfhH2MF50RUJbyHz9Z8azq8/DLBZamW+JvsMmiy/C+3PDY7NqDLPHl9XzBLP9pMEymHGyLjtKAQDF7MFbTEfEH/ubdwj/Zgdau+ZUViak7CD5SedB3PzMXHWzabda0HDImAPw6sEG5RQND1Y2oIucD7gxwTWDTbu5zfHMceOBjzVZDIgESpM8RK3iNzHvUKVV3atNbR8rmKg8k5nUX6g5sKf18liov7DtBEIiNy1rUiNdskF+FvZ5iNJaajtB/KvKpBSsPPkieI+zFtrD9HkzLfpgX8bUV2WGZbMMS/tUnJtfqgQrKyvvItNVK32XmRR62K0dEp3wxZ6X4eDJ5yOZMRG2oiEWtZ0l8ziLC2/p41fjqVs+xgxmAdDbszpmWqq1sCgqLacLTmYOCMy86z34KgCg7N8fRMpm+gkr1L3fdQjuP+lm9B7yqiqP+i9/h/Tp+VAGRL7rvpR6aD38Q7S65CNLozX73hQIrG58j70brPvdz6PBl/OR9t4fSLn+wUgCCU3dkLOfREmPAUj7YEqkbEFNPU2bc497ewUFsZSLb1Ydf6v7RXjh+CtUY4ToqZ177jMYcvaT+I4JmbGxUSZKzxyOMR3PRWGKvRiRntbGcykZrFg0qNqO9RdgKRxBRLN5mNljP6796Xjh9o9x8Zn/5l4nKqFOO0o59thjcfjwYam0hYWFaNbM2GsXEZ8ogom4XeGAZa9J/CW2bNY8xcrGYtWqPzNK/tXDgnc8wSDPTnyvO/UBPHf8Fbj2tAciCQTjg909Gixmg095t5OY8uw+N0aoEOVhwZTOLnZN8ESLCcnD/imdB2tSY20FVORkxkL9WcGknrxLdxGisouTgnkvbNaNSevux83uXk52kmPWdiWZHblpZT7UO4beigA8eLXHxZGDov0fAgac/yJGnHwHJjEeNO2aX6qwYn4pEkwsCKUqrbAVjbqEKdT0auFlWzp/0su2V/KwG+Bp1xUpV90tVfxrPYZj/cjPVe1lzfySNfe0sC+MwSswqytN4ls1edIbYUcLtcWHp0kzpM/Yj4azDpqWp9oTaHtfHj/tez0uxKSWfXFHf7UH1NSbH0fDxeXAwIhABq8XSWddBG+vU5DcPjKOVHmT8VXHs7G9oXoPtcfrhbdZC5UACABHU9JQmpwqdqBiwqJju+C9akFSdY+Xj0D6jH1IHfEfeBo3RfIZQ1Wx9RTVty7y3FhBYeGx3bDl1YlIyurDLXtZaIG5Xirq3TwSRwf+A7f1H6Hq/w0+nIq0D6ag3i1PRMqWvrsghfUaYOGx3VTtUpZUDwWjvsYjJ92Ij7sMxpK2fZD6fx9L5dfgh1Vo8MV8pFx8E5L6nY2UGx4xv4hFpLST8NZa777/IvmSW5DU+1RrZVbj8ySh95BXMe3VaShj3zGPB7tadkdZMv+7WcmkzUs7xlbZ8Yij2VanTp2wYcMGqbSbN29Gx44dzRMKKCgowOOPP45evXqhZcuWyMzMRGZmJnr27Im7774b+/btM80jOzsbw4cPR6dOncLXt27dGgMGDMCYMWOE5qEbN25E9+7dkZubqzq+b98+3HLLLWjfvn04v8zMTLRv3x7XXHMNtm7davt+4wnVK+iyUMdOfM0mXqxwpvbgaLNsm25/fQJtzf76GXiz+0XYz7jNZgc11cfXrikUg6m7ZoHZmhWtKVu2V3DcDFeEA3bPh00zPvaq+o+/i4IBQ3DdKdYCJKv6HfeDxSBlimZ8L6VJ9fBIn39hy83PorKR/IdH/eE015ifOehZfNn/WjzS91+RPFT7YuxNELczE3f2vajg7CVUu/JmJ1iRNGOr9wSuzlCHuBh8zlNYPWA41t00CtwLJdh80zNoftn/kMsGzBWMM693Dwp+7Eq5Ag82NG6N79ufpjH7jfzecXlwwedrq46STBax1mZEYpwpSQLBRPAMQx5kpzGaIqFWmB1TGgXNxJaJLCUE7X9fv1vwzAlXYthZIyN1Y99vVrOZ3gjpv+ai/lMf8ssQ4Kkf0dao9oixk+DqfeBLWBN6zXgePixYuAp5ln32hCu4ebD94M7+d2B/sza4vX9kb2y4Xpxx2HtMc3jSNFonuyZxFmD7SVm9dFx/2gP4gRNE3VMvVSWQeeBBg9G/o8FXC+C1sAihHqkif20+80oAQPJ5lyH53MuC59vw+9re+k3Cv4uT6+P/el+LrzqerVoQ8noAr8Y5l0fUXszxB/rdjMXHdMY/T7m3Oh/9NUdvfgo/tRmIP1v2wcW3jUXD2YfgSW+E/FHf4sd2amHF07Axkk8botZCCyhNNdnrD+C/PS7B1Ba98GfLPuG6lSTXx6MXP4t6V94Jb4fI3vWQx80/WWddHg+SuvVGUp/T4ElJQYMxs1H/0TdVZVx/yn0IeDw64d5TLbx/0fEc/Jl5In5tfTKqmDp/0PUCAEDSmReGY0f+u496QTX1tieR9uznaoc57SLeimdXh1XiOeMLsb3hcahope8bvGf1aJ8bsLFhJj44JWJN8XfzHhh21kicdd6oBNfTORTqLr74YowfPz4caFzE6tWr8f3332P4cHsOMvx+PwYNGoT09HTMnj0beXl5yM/PR35+PhYuXIju3bvj9NNPR2lpqTCP7OxsXHXVVbjrrruwfv368PW7du3CN998g0mTJmHkyJG669atW4chQ4agoKAAZWVlqnO33HILOnXqhI0bN4bzy8/Px5YtWzB06FBceuml4Xh9tQW3NSbq2DZ2NT7Gr6HQg6OVFWjG6cUPJ10e/m3XLM0NTZ0VAjaFcVaAYgdIVZta8OxlyTOZ6i/zTfGhIKX+7v24adl+58k4Btv/7ytMbh3RqMhVyt1Jk0wPGtP5POy98DbbHxs2ZIboXdjSKBPfnPJPFNSLfJBZzbhV862Lz/w3Hj/xenzd4Sz83bw7JrXsi087n4evO5yJmwfchTv6j8CutGMw4mT5GGgAMLPFCbjosrcx+NynVceXNOuKadc/i6rGxzJ1BvNbYp+Nx4MqTeiMpJPPgadtZyQNOE+V47vd/oHRD36De/rdyhYShl30KMmICLZFPU/B5vGbcd9Jt5jWR10R/hhw2qDn8FWHM3HbgDvDxxRRnxe0wWmDn8edJ9+Ot7IuxJTME1HlScLUTuxElL+Qkff2FGSfeS1uHMiPnentEHG0wz6LI/Ua4p2sC7FHMElTaxo94om3AA8Ab/uuqHfrk8i7ZRQqBePn6YOfw5tZw3QancHn/B8uPeNR7K8fMT2c2Do4pniaq8OY1H/4dTw1agaWMCEzWAdJ7MLbhsat8erDP2B8O3ONhNeiGdzvrU6CHx4s6j3ENG39/46DPzkFV58aMT1UaanYPmPyjVRNmqt/ezzWnplXUHbZsa3RcGEp6r/xM1Lv/y/qP/clGnwxX30vb03AuHan4f2uQzCy93V4p9tQrMvgxzQ1NV8XfMd2pDfH+ec+jd9bn1ydj5p9zdqi7F8jcevAu6B4vChOaxQWxkO39kyv4P7BlGv5i4jsIhc7Bn167p1Y3qQD7uh/R9iDrDZm6Cs9L8WVZzwCvzdJ5XU0RP0XvkbyP65Dg68XocFnc/DnFSPxeJ9/4qPOg6E0aIR6/3qUW6eU6uMTW52ESa374fmX5qmFe48H6T/moPflH2F3g2a45vSHcOMp96o+kV93OAsTRv2GtDcnoN69L+L9Z6fgc5EvBmaMq3fDI0i54RHU+99M3NH/DrzU81IMPesJ/nXVJHP6aqguv7QO+lL4qsOZ+LTzIJw85GXsa9Qc/c9/EcPPeAwbG7fCvObdsbJpB8xpzo9flyg4Euoee+wxnHDCCTjvvPNw2mmn4V//+heefjr4sf3oo48wYsQI/OMf/8DJJ5+MrKwsPPoov/OYMWHCBHTo0AGjRo1Cs2bNVANGRkYGHnzwQQwbNgyffPKJMI9Ro0Zh9OjRGDZsGFJTI+pYr9eLrKwsjB07Fj/++KNK45ebm4uhQ4fi448/Rvfu6gft8/mwZMkSPP3006r8ACA5ORk333wzMjIypDWZiYg1D4h8E0g3lkXMslCbFfEFSu7kmr0/dr+AxfrxsO290w2hgv0OW5irs0WL3ISHNnBPZIQld8wvBdom5kN8+uDnsGPYbSh/4qPwsYBqgqtuu9Bf4RVAQby97emR1V0zLaHahIc57nA/nNfjQf5JQVOnHMGkBYh8vN7rNgRDzn4S9V/4GklMIGO2HoebtFRdq50QsO2sFXbM+Pu4nvi4y/mAx4OLzxqJ6097AFXeZNzX71b80nYgcpq0w/HD3sT37c2DcZe0VE9wdzRtjXKOKVtKklfV5oX1jcM+aGHvf9aF9yH5wn8haeBgpE/IRdrH07GxbzB22LYGzeH1enGkdRb83iR80CW4Gv2f6okboG67HT1Ow0s9L8V1p9wPrwdQGjYBPB7kNgq2/7rG/L19qvf02MizYp/SmibtcH+/W7GXca5Q2JCv0WUd9GxrEBQ0y7wp2JvWFN+1Px1V3mRcfdqDaHnJR9jJBMJG/cj+nKnXP4vC5DQ8fuL1QLtumHXF48hrwJTHrrZ3Ph6LXv8LPYe+Ye5dmMWiA6V697yAo6npeLq6/UNVSL3/vzh8+T14r+tQbMtohZePvxylSZFv9eZGLfHcCVfhsCqWpQdLmnXBTE1synHtT8fnt73Lda7jqxfcC/R61kVYckxnrOwVMevPbaR+tqE+VlLdf9c2U1svDTj/RaSN+RvelvIhOBR48M9T7kPmpZ/gSAazZ5wZz9hxPmXodfjxwxWY0qqPeeYmGjeeEBGsFP/DMinrPABA8oURiwA2ix2tIk5VPAA89dOCQmJqfaQMvwneYzPDi3ebm3dCyrmX4q7+d6AsORUfdb0gLDyFYD34mn06q+pH2ivpJH4YnmA+wYzOP/spvNNtKKaedq1GMIXu96edB+G/j/2E1MdHq/Kqd99L2JrZDWMY79QT2vTH0mZdUO+WJ3CgcQucM2gUfmh3Gu7vdwsuP/0RPNT3JmHd2K2woe+dt0UbpL08Dkm9BsLbvCVWnHYVSpLrY2Sff8I3ZS+8Ldpw80ruewa+f3Me/lWtofSk6K0rPCn1UJBmMM56PChq3RWelBR4PB6UZqhNrre2i4S6SupzBry9T0XyJbfAk1of9R99E8n9zsbh1EZ4tccl2JV+LJ49PqgRf5jZs7yvepxP8uofcOjIXf1vx+WnP4LH+vxLdT63cWvMbnG86tifLfvgrkEjkf7HDvF9xTGOZlupqalYunQp3nnnHWRmZiInJwezZ89G+/btsWbNGixevBhpaWl44403sHTpUtSvb23Tb4icnByce65Auq9m8ODByMnJsZ1Heno6+vXrpzKx9Hq9GDduHIYM0a9+eb1ejBkzxnBFqnXr1lJmofGOauXX5kRVtUeGnbZacJ4gwu4mcFHcqZQr7wIApN73UuSgTW9MUm62zVx8S0xy6t3/MgDg3a78lVr2o16SbO899Kr2mPDTXHD2U7h1wJ14ucel4WOiZ590arCuR5Pr4/njg9rPp0+IfJTZVmE/BqI2zW3cGpv+9R/gmMjEJiD42AKRFeLLTn8UW0+6QLcKnPbRNDzV6xp81eEs/JXZG7M6noKS9KbgEXIMM61FL+YoY/LKPMNvqk3vljXtpKpTyOvZlJb6+IMeABXHZKLtxR/grPNG4fF+N+NwvXQ80fs6VbqbB96N6+76HkuadcXCY7sh5aJ/wZvVF96uvZHbTR0r7Kurn8WUzBMx5OwnVe0RgjVpmtTqJMw9NgurL7gVKdUe47am8+MM2n8f1Rrd7kPfxMnnv4SKxmqNjmjFPdnrhQce3Hny7fi2/Rn4odcwrG/UChsatcJP1avcRkI5e//Z59+KtBe/hsfrhScpCR6PB3u6nIwB57+I085/HileD5KrJxFP9r4WHS56F5MYz7qqfufx4NUel2By65OqtRjB45ef/gg+6T4MV57+MLc+7IJEvWuCQuaXV43ipgWAG065Fz+0PQXTBl4ZPlaUEnE+8OwJV2JX2jFIffh1XH3mI/ildX8M0mg84fGgMikFFfXqo8HYZWjw3XKA2cv5/+2dd3wVxdrHf3vOCYEEEmoSUkkooXcRRKSDdMRKsbwqWBG91y6KXa7eawdFvSrWa7miV7lWBBteCzYUaaJSgyhC6JBk3z9OzsnO7s7sbDllk+frxw8nu7Mzs7uzM/PM88zz7CjshMLxD+LhNsPDQrSuDgrCmoF659+EYMdeOFDYHpvTmuHv7cdhSVYnnNf7XG79I+aQa9ubC/ofdQxPfFdl5EVjiAZKOiJ1+mycdv6/sL5aSNa2j4CiYGdqQ0w86T7c2WE8zuh7ITakZ3G1ixuatzI9rioB/NyuDwJNmuOHaiE8shgUMZ28pfOJGDZ4Nv5oUQilsC2+yyzAC4V9cWW3KRg6KPycIxPPQUNuwGMlgzFr4CymnNUZeQj10gsUNd9TypRLAQChIZPYJIqCQ8EUHEltgNQbHkPq7AWod9pMoLAdHmo9DO9ETGszqvsvnfmzCuC97M7Ykdooau4GwNLsV/vNbC7W9Fuc/b9/H3gBGjz0Dupf/wiTR4dRf8eQwbOxLauYOW7GscNuwmMlg3H7iMuFdQOAx0sG4fze56DbyL9x+43bO0zAZ01b49tBU1DvvDmod94chI4dhf9e+hi6HH+nIX0kl8+at8UNXU7BkRSdGSrn964muYb5Yuo51+L6s+Zjj+Y7PRRMwdhhNyD1kjuYtAeD9fBeThdT0/UIvGfGw8oEtDKzWXT+p89bCYXroXeCqLcsYrclh//oPnIuzut9Lj7rUeNTQQmFkL5wedgUM3otW+bd7cei2QmPYnmLUpx+9IV4tGQIni8May5DAQX7dfvnInWWeXbaCn9Y0NPWwkoy4TqUfCgUwsyZMzFzpr29KXbYvHkzunYVB6/Ozc3Fxo0bued3796Nhg3NV+J5ebRt2xZt27Y1TRsIBDBx4kRhflu2bEH37t2FaZKZJRP+iq5vPYLXJ1yOS+8JTx7LM7OxrX5jHAymWH4gcgKZPPs0H6zWu5P2w69/2zPYf8P/4bQ+F+LFT8OrYusasRoJzYWmh1OvnY96069HICsXB6+ttv/WrFjaMS3RplzfMAerG+WiPKWBzq29+DrGJbqmA32maABO3PwFAh17o97/XYW7GrTF9evLccm6t4V5P1fYH8fuWIP3sjvj1I2fRo/P7nwKbv3+RZzf+xw8/OU/DdeZLIQZ+L1+RnQCHUG7B/F3jTe1eqf/FX82bIo+3+zBlrRmeKboWJQ1aIJbv38xmmZmz7PQdddGKIOn4rjKnbjjh60IqlXc8hWFfXaMCaFiTAsA6zJa4v0T70a3dp2Yk6G+w/Dge5sBACf3vwwdmzfGmPwmaLz89fDeiS1fRZOPPe5KnLzxf3iq+DiMff3i6jyA+W2Go82eMvw7vw+uWP0GgPBm+87H34VtDRpjx+KZUCorAACDBt+A439fhX/lHoW0isMYu/UrPFk8CEB4cAooCnbXC7f7n5q1QvHY+6EqAVy2ZjGyD5VjdaNcQFGwt0EGgBpTcSUUQtq/vsbT73yO9KfmRo/vbl6AU/pfGv07sup++tEXYlr5Wjzaekj0XRwOBDFm4NW4b0QfHHNUB3x2OBUnffsHNr1+EfddyHJECSJFrcT3mQX4qEV7nPHLh7irw7io9qmqPquViwzU4wZcgYWfzces6pXrlEBYU/d8UX88X9Qf7QMp6Dv8FigIC0h9h92MMo2gqkc7aTE35QnvmQOAhsEAUiJpFAU7UxtB+0XzvIwGNO1zU3pz3NF7GnYeOMSU81jJYPT9fR0WtB4WbTOo3wANbn0KKxcvx5DFD5rW/z95vfGfvN44MaU+3px8I5av/IGJZ7gxvTk6jfo71DP+D7/c8RTO6msu2ETqHOwYNjlUf9vCHI9M8kLVbVJ/ZcrYmtXwyPnd9dJwwgD+JFxRVbQfczfy9u/EqIJOpmmWdD0erx6sj5WNC/HnuSNx+Nl7Ua96TxsU80W3SPmVVSqqVBXfNS5C9+NZL4wAMGDIHPT9Yz2+KB0IbN8VrZOWSF6nHHMpLln3Fua3GQHTXfPBINJf+REDbl8IVQmENdaRU9V5rMnIw196nIGc9PBkXrSuV+//rkHF4meQMmk6Ui+Zi9CAMQh27Ye9/cJ9wSadGWu9E86J/g69/D2u+tuzSKmqQLvO3XDmOWFzZ/1rq1IUTOr/FwTVKvTY9UvN9cEggPAWkgZ3voQDF49C6lUPMM+ky/F3ouPuzejevsYsMDR4Ij7O6oBPm7Du5CuCKQj1Hc4cU6BgS1ozbElrhlITAUDP6upnd1RDa8d7VUoAz1Xvw+UN23M7TsTcjhNxe2oDpJ5/Y/R4WYd++HXT54b0ZuO/VktkpqkD+AKXB8Y3lmUw5dkoO0XTD0ba7qweZ+C2X99F1rUPmV7z44CT0f3z1/Bww1JDnSI/NzTMxoaG2TjLKnSEybGI1chr+UfhNc1CWigQwMsFR+OkTZ/hoxbGsu1g1+Q7mXAt1MWDyspKBC3MAEKhECoqKlyV40UeAHDgwAG88MILaNq0KZo3b85Nd+jQIRw6VDOgl5eXuy7bS74YOAUnBDvhkuya1TM1GEKnUXdBhYKxW78yve7XtGYo2v8HlmZ1wthtX0uXN7fDeFz9439w4PhpaPDWM4bzf6Q2wtHDbkEAKg4GUnDz9y9HN/lHSBk9FZ+07o+3XlqG4QOvxditX+Hu0tG4avV/jAVyvltFUaBkhc2PlLxiqFt+RsrwU3Dk2XtFl1mysnEh+g6/BVVQcN2qV7UFGhNrRvltLYpqkmr2dCzJ6YIrz3sS888+DYqiYE9WEfDT9zVpEV79blB1BC8U9sNRO39CIBjE1gZNMLF6grU7JQ3zvnoCS1t0xP2lo/BkyUCUp6RFhTrWnLDm90NthuPsnz9AWd8xyKs6iMrPl2CXZrVRS4USRJ/ht6JFvQBabVtXk19KCiqOn4ota18CAJRpTMiA8IrlwuJwrJl7AgHUv/4R3Hzrk7hpZY3Q90dqI+Qe3MVcp32cu+pphH9dvXiDLw8VKg7Xq48Rg64DACxu2QNP/28e7uwwHtsaNMH9peFVx0+at0P/39diy6BTcfXKmm/64p5nRQWVjenhfmHTzf9Cy9vOxrkdT8P2Bo3xcslxOHSkAld1n4qruk3R7FNh61g/FMSew+EBd9TAqzFz7du4u/0YAOYDmRIIIBAI4IG2I9H393VYlH8U6uvSRSYmr+UfhbK8UTiweUf03J/V31kwEN4vs7vj0dj94zJc3PMsPPjVk0i9Zj5ue2UxLl+z2GACZcWAoXNw3vol+FuH8dia1hS3djyBeYk7S/tgedcReLsqo/r+wsc/yOqIVmMfiKYNBRTDJEpVanbq8vbaAICi88KXIjDlCZcViGrqzGA0ggIT4EgW5aH6yKg4iHezu+ChaucCANB7+G348ZLTot9eioTWPqAo+OHo8bjvcBHGblmhu4nqfIIBHKoULY7U1DM4YAxSZy8Ie/z7syZN2NyVs1ISudZicvRlkxL0/nMDnm11LP6s1xB/1muI0Sb7tICwMPlJtTldoKA16l/9gFkytu4RoU41c0VSw7dNWuHbJq3QSzPJ1LuFj+S1Kb05rug+jZtXQFGgBIOmXkj1JmIyoZ6CrTui4f8OQKkObxDqE9ZYvnf5k9j7/INhU9hq9E87VH0/RwIhfNNrNP5PZ2p3Q+eTcMH693BL55MBRTEsNmrrG+ozBA2X72O0OwElvOfs1/QW6K4dK1Lq4eQh12LfEXY+ZdY38T4jq0XEKpthsuyO27z0Zsf5AptRoIklVt+bXVKCGkdp1Xk/UTIYR110DS4oMd97dqRBI6x88CPMefYdAHKCLQ87wlVICe+JPvHYGs+dPpbNHONKqNuxYwcaNWrk2KyyNnHqqafigw8+gKqq+O2335Cfn49PP/1UeM0dd9yBm266KU41tI+qqqbqjYrISkleb1zVdTK+bNoaD3/5WDTJqIHX4JSNn+KJkkEY+7pRg/uvwmNw+ZrFAIDDjWvM6u7oMAFv5vbES3+ZyQh1V3abgiHbf8AzRcfisEY72On4u/BHaiO8+cnf2XpXD2SfNW+Lz5qzmtYfmIldzb3tC6WiyRGjo530l3+A+kcZlKyawVDb0SxoMwxDf/sBv3fub7gWAFY3LsTxDzyP0+YvxDdNWpmm0Qpw9W9eiIN3XoLfb3oWU17/FAN/W4XNPcdh2pthrWOwx7FIvfJ+TPj4JwBAWbMCKNWmLmbahXZj7kXWwd1Yl9ESY467CpmpKcDhmoH26VYDsK91F7xxJDxpLxfEt/mluDvw0bMAwivNLSc8hCdPGYnWWQ2w4C8zcHdL/v6o1Rl5+D0tlRHqAPNO/i/dT8dff30fs7vUBIblde7nHH0B5n/xGOZ2CDthUqr/u6jn/2HS5s8xr80InL/+PTQ7vBffDpmGo754LRoDimcmw0NVgSrNPGJtRi6OHnGbId3YAVfi8PnHo3xnBbByafT4U8XGoOlHuh2Ljx/5Cq++HE7HTPq0+5N0WpFUzWC7vlFLzOp1FpPWjGBAwd6UBphwXDhuz0W6WZN2QqCq4fJP6TcLjSoORIXRSN6R5/VU8UC0Puls3DBqAG5e2wB3dJxoe//dqswCpv76PkcJBrBw4rV4/oefjfenFcR0QobMgJ72xCc49OC1SL3iPub+tZMZM1ICAUMaRUHUPKGKU4+AwjqRiNzLUSNuxwXB3/FIiN0/uDYjFwGNxz+zfSN6tAsAH2Z1QFUgiG+q+71IeWZ9hRa2GSqod2LYY6Py8bfR41oh+pe05mi1/3d83PZYnMDkI67vhAGXo9fODfhIs/epol4DhIZMgnpwP5Scmv5aNIXna0fC/1ZKCgDa+r6f3Qn/LB6ElY0LDefYsnXtVZC//rmrun95KCbx6nZ27Idz+4qv5DWXyOF7S8fg3naj0SAlBFSEvX+v18QYDRlM7nSOhLQaKhktkUkS7n40i/xsC3UW+enPymrWFCjgdNtymjrTMpxJI1KaOuZ5i9OHTDR1ABBituTo2ojCLj7x3q/XmFpXCEoUPWM/y4KuhLoxY8Zg48aNuPzyy3H++edbmjd6RcSByVtvvYV27dpZX2DC3LlzsXz5cvznPyYaHAe88MIL0d/79u3Du+++iwkTJuCdd97hxue75ppr8Je/1KwqlJeXo6CAv5ocbyJdprbt78wuBrbVnIisKl/b9TS8tPxe3Nf2eGxOa4a7249l8traoCmmz3wZy9f9jE3pzdF29D3YF0rFv04YgJSyX3FFqA1UJYCVTVshEKoR3FQoeLjNcMaEJcKmam2HVUBZAPhb+/HovHsjFuUfhc+atcGBYArmb1kSPT+l3yV4/POHcVPXU/Gq5jqlfoOwtq6qZlW7PK3G1fVbLbuj68i/4d7TJwGLPo4eP27IHEzY8gWe6HYi/tq6E5bl9QD212hlefuOUsadgdCYadiysxyfL9+Bz5u1wWmBEOpdfDvU3zYj0K4bgqXd8dZPTxqvNRnBd9dLi5rsQVGM+9EUBRtatMbh7Wy8ybmdJ+Hsde/h1o6T8FHz9ije9xt2tu+PTsffFTWD3ReqDxUKAs1zcE/fs7B+p7mm+cdqpwuqyu4tCz8HI4+1HoKfh07Fxl+2mZwNm9ddtvZNBLr2w9qMXAwZcr32dhBQFDxdfByeLg7vTSkdfTdS1ErMbtQM6e9sA6onJryJIABGiI+gQpVaWa8MBBHIyoOy81fLtCmBgEF4M0MB+x3WE1gu8PLQH9ev6poJDHpnCpFdVNqkFQ1q+n27Ap0M4UmT9TMKKQGdowBrgt2PQdpjy8L5atqbyJNa+LxiSBOeQITbR0UghMUtu2N8ywyUZxUBq3ZG62Q20dvWoAn+16YLKtdvFtdXUbhOiti6hvMtT0nDGwu+w+lv/i9ab8Ba48ebDGmbf8TcFQD6D7sZbfaWoVFJHya91SRzT0oDg6MCRQEa/OPfwusM9RUI0QBwRKCVZPLR/FaVAC7rWeOUgncveh2g6J7135xNuYSBZyIsUxd9DLiUYAAHqoW6XfXS0XHU3/Hr5Wcg9OwHwjpo85fpG02tCDiPy2r9wu6zk9k+oIVfL+MJmT6XV7yXpn7M+5DYAGNVNGN+qXmAKUH+e1fA9o3avsTJvWrWyoSYWU7Yfee1AVcj8NNPP40bb7wRV111FebOnYtLL70UF198MRo3buxR9cwpLS11HQPu6qvF7lHdkJ6ejokTJ+Lbb7/FE088gcsvN99LkJqaavCcmYwoUJD27Jeo+nUNttRvD2z7zpDm7ZbdkD9+nkHTc0q/WRi/dQXuazcKA+o3igpi2xs0BgBUpWXii0vm4fXXPoqWpSjA48UDcfbPH+C2jifACpl+4rZONflsrt6DsDetcfTYN01aoefIuajHWaFXAgGkPbkc6qED2PHmh8y5XxpmIaTbGP5Nk1b4pkkrNE+x/36VgFHjkHrONZbXWa2+A+arm2YD0n2dT8Dt7cYC1QISAFwSCETfX4TIwGGW78AhN6Dnzp/xem5NiIFX8vvgql+WoN3w8dyyzdCmWp2Rh3H/9xSWXjgZ+NuzxrS6LA8HU3AYKWEticaDl5mmrsH8t3Hk348g9Yp7o+Uy8QUdegvloffYyLvEoKkL8d+1zCRJgVGIk3kXUU0d2PYpS1BRpLUm2vxlhLqUoOJqAsGaX4pXfVMCAUMa/QRi8jGzoM4+C8rylZo05po6s+vNCAYUnH30+Xjpk3sYb5vGumpITY2aAkaECpHpKMB/pxWaxa2UYCBa/z0pDfB1k2IM0j0Tr83BZNA7SgGAI1VyQp0I2XsRJTMIdY6D4lhrk8N1kdMO6ce9zWnNEGjawlIzbNucziIPO1oku8/OMqSBoF5sPkYMVg6RtCYLDLFERpOvxVpTV3M+aNE/amHNNmH6WxZFUaQWDGQWOeoCrrxflpaW4vnnn8ePP/6IcePG4aabbkKrVq1w/fXX448//vCqjlJ73SoqKhCSCOYY6zy0dOvWDd99ZxSA/EKk01SU8Kb5lFFThAOWmeneW7ndcWHvc7A/lMqdEGuzDJsOKbi0x5koHnufnNtlh8ry/x59El7P7WkaDNaMYLd+CPUZgq9bH40XCvriKo3nQZ5AFek0RX2S1l25G4yDvPG5mNXDrKMNKIrRDM4kXSQ/s3y/blKMf7YeEr1QRdgL1awzHkL9atfOTvvc3Q0yTT13KYJhymAmYvI71G8EGvz9ZQSaZRuuUVV3kzAz9OZNopV17Z2lCjR1XMFQN9nVPymZSWtk0iAjZImut0uQKc88jVZzJErHLUO7f8hsT53mUMjU/NJaKxLu3zR11P6Wef6KghVNS1Ay9n48KwhgzhMcgy41dRWaTjwUCBjqbPxbWAynbHfXaKsQud8KydUY0SuQNb8Uauo8VB2YtlHJa/VV5LUHqz4hyLRt+UUhpi6cWlt9D3YW2ADrsUY0PojSAXoNmXkevPK9FDvMQhq4QdvHsf2j2PxS2zZ5fZHXiEIa1CW8CLmFdu3a4YknnsC6deswefJk3HXXXSgqKsIVV1yBsrIy1/nn5+db5rN161YUFvJdkDZu3Bh79+51lYeWefPm4fHHHxemCVQ7J/ArZhN1Nx2F2Qp9WHbQrs5Vd36Kgj80nhJFPNfxeADA+1lhMx7Zvv5wvTRM7TeTCQYrdXfBEKb3OY9xaCDjwEDLoyVDsCdUHwtbDUCD255BsM9QNHjoHdN6yD7zSEe6ozru0sE+RpNVXgw04zGpIqNCjoywE1ltYya13Imw/m+5VVN9e9Kivye7gokKe/s4ZN5b2C28dT0CClt/kaZOtKdOm0afjDcx0dcDYN+PnR7ByaAubX4ZkHuWMnWzXolWDJNqmZV9/XO32wajk2hBWkVXZtBktd1Kq8/V1Gk8z6YEzEMaaHH0vjnXCBfGdGOIvvwKSU2dqL6yfaLou+eZX8poIvSYapMd1pFnoWIlhNoODG+SnGcybZW1fUcpzvsDNh9xWu27lBFoYmV+ycPOMw4FzOsv0hIr0O+pMy9bFtlrrBbibJXpY2nQU4mjVatWeOihh7Bhwwace+65mD9/PoqLizFz5kxhuAErunTpgiVLlgjTLFmyBF26dOGet8pj3759WLFiBUpLS6XqlJGRgRUrVgjT/PDDD2jdurUwTTIT3VPn0NRKT6XJwKqfgOg1EjK82fo49Bl+K07WuGeXwWy8kulgzQY6K3MmPdsbNEbhuAcxs9fZCOSXIG3Be4yrZydesyIdaf+hN+HQdY9iz+TLDGnMJg+yewTM3otIU8eDNwETXiOfPX+FVXeGEUwkVlFVVbV5n9Zp9JNrvmMD1myvnsAVNF+o1Q7Qxucko0WI5OFYU+dokq933GGezmjK6nwSZ77pXlOWifklt93pJjXaeukFbStkNT08wTFyX9o9MabXc45XMpo6Y0gD0UKBLG4nfmYTafk9dSKhjiNsGvbU8fP3VlPnfPqmvxWe5t9OGc731Fn3V+blhf/1wiwWMFkg5LQFq5AGXE2duHhPkHOUovltkdYspAHAzncMe+oUdsHL9Z46yUvM2qrjkAY+1vHFRI2Um5uLe++9Fz///DNmzZqFhQsXom3btrjqqqsc5Tdx4kRs3rwZc+bMwR9//ME0ovLycjzwwANYvHgxZszgm9HdfPPNuPTSS7F48WImjEBVVRXWr1+PadOm4aSTTkJ2djY3Dy0jR47E66+/jrfffhtVOmGlqqoKS5cuxSOPPIL/+7//s3m3yQdvgmAXM3MJRWEnBgrkP+JonQIBrM7IizppkJ14O70Xs+t4K1eiIipFE3PObxGROpQ1aIKqUVOhpNQzpJHdUyc7+ajx3iahqav+V5uzW3MMg0bP5FhNWca0Zr9FeK6pM5gM8iY4bP1FK6V8F+FaYcLojp7dF2J+n5E0MkKWVR1kUSAnROpDGtjuR5iVaPHk0yykAX9hgK27m/5UZgIb8QBrVoa0+SWnHK0Zo6KItb3a8rzAielz5HnJXumFQCaauBr31LH/2sG0jUr2ZPp0vP7E6z2RZvXjfbNWJUfag/R7kUpVg5XnUDZtzdEqu5o6m/USYfd9WQlZPC+WlpYMnOucWmrIYO4ohX+tf8U2MTG1DczKysL06dMxZswYHDlyBM88Y4w9JkMwGMR7772HAwcOYODAgcjNzUVOTg5ycnLQp08ffP/99/j444+Rnp4OAFi2bBnatGnDxH3r0aMHXnnlFSxYsAAdOnSIXp+fn4/Jkydj1KhRuPPOO7l1aNKkCdLSavaMZWVlYdGiRbjnnntQWFgYzS8nJweFhYW4/fbb8eKLLyI/3+hFzy+YmcvZ+RD0H5mp+SX0GhP7ayROJw7m2ihn1/H31IWxO2jzVp5FhHTxsMyuMze/NDsmV2ZkAJORdSJpZTRkeuTT8TW9Rtt/89VEXrkq7L1HOU0dWzJvUNbfl2jw5t2Lfl+aPpUdTZ1TM0cnc0RFUaQ0Wik6QdWNwGSpqQuaaeqs25Cie+68ySC3jpKaE22ZZvdlJ6SBFr0Zo5U7f2fml7Yv4QoDtj0eOtDU8WIPmiH7/mQImcTBk0V/KzzzSzsWKHJ76uSvs95TF/5eZLWJliENBOMDe9x4THtfjKMUi+tEx53g9Z41JqSB7J46w3n2XKyw6rPrCjELPv7ZZ5/hrrvuwquvvor09HT89a9/xWWXXeY4v8zMTNx5551CwSvCoEGDsH79esPxHj16OA5hsGjRIsOxXr164a233nKUnx8wm2LYUZ+nBAKoqKqM/m02aQlPctjJpv29MLaSa64zEepkTKDMNHUe+851YqLITnzN05g7SpFb4TJ7NFHzS4n6Rd6/zMqdcbIo/3xl3EuH89T8lsg+HKfOjqbOGv0Kuajusp4SZTR1pnvqJGpsZn4Zi4EzoCg1iwCQazMpgQCz58tuvRhNqMVEMRRQzOPUmearf+7mz65SwvODtKkZp/zI9VaeE2UcpQAmmnLdAS9X5oV76jgmXra9Mwq/K069dL2fvT11KvOvHczeofTilz4vnqMUG+OazD1Y9eN2tnpEmqKTb0IGmX40QlAjYGvbA/PtO2jXdmH3RZtnzDxji/wYRymMpk5Tjon5pVnQ8vA5iwJdYNYOnO5XjGU9Y42nQp2qqnj99ddx1113Yfny5cjNzcXcuXMxY8YMZGTIOb0gkofIt+pEwADCq3+R2DcAR6iDolvJMU42rXBq/+ylMMg3vwyntVuUXYEDMHoiM7tM2vzSVItpPCYKaWAsO5KPOE/AeaeqCK7VH5bS1EFBRGQNx6mzUReJmwgF+C7u2Xqw9yV26MATDNk0+kmGPU2dXF30yKYMKJr2opgLJnpCAQWVlc4n9OzeM/EEISUQMIlTZ46i+817djKhHpyYAGov8TKkQThvsRDnaA+l7StEmjqbQp3gnOy9eOFsRQa7+7i16PsmrqMUF9pAM6yqLNvHATXChBdmsabpuWOCEW0VtOse7Dgee0nBdkgDi+RMSAOOps6QJ/htM6beL00Xp2NWXNLiiVB36NAhLFy4EHfffTfWrl2LLl264Mknn8Rpp52GFE1cKMKfOBEwAKOgYy7UGfO3K6Tp6yS798K5+aXxmJtN62boBV0Z9Jo6efNLs85QrkwnmjrehFMEX1CrEboi6XhZutXUATHQ1BkcpfAHQ7O9UablSmgqgzqNkf487y7NQhrYmazIpg0qCioiIVWg6BYszK9JCQZwWOMQw+78gQmua2HKY76njrdAwQqaPCFeyvxS4qb034CZsOo0pIFe8DQslOj+TsSkSvuI7AqVThZLrExQmXN6TZ10zYxYxVIUoU9Vj+soxdtv29IE0oYWya6mzi52vFXyvV9q05iX42WQHHYBSeJ9WKRh9sZp0mrndmbPQ3sds8fQskbOiYyRbHl1T6pzJdTt3LkT8+bNw4MPPogdO3Zg6NChuP/++zFixAjri4mkRxunLoKdj0Q/6JiHNDCaI8VL9e2poxSLSZL9PXXWk1g9zMSX86bMJo5uVriiIQ0kJqQR8zInq5d23pTsXggpM1DN4XCcOjv1sE4T1LmF527OF0zUDWm5ZemEC/15iQqbhTSwM3GXTao32ZExYwrp9tS58X5pZdqWElCcaeoMgnTNbynzSwdSkva9Rq53HNLAYH6pF2zZ9M721Dm4hvlt/V07KVv20YvKtOuGX4Qb80s9fE2dt4Oxnfdhqamz6SjFCsMCBa8vNjvGLM5o0zrvj+yiQO7bsfNKeZo60XxHUdi2WalzrhQrzMY0p8X5WRh0JdSNGTMGX375JU499VRcfvnl6N69u0fVIpIB0zh1Ntq6fkCQ09TZD2mgT+/G+6XURNwkEdfBhVxVhPVwpqmzM3iaHZN7NrHS1MnWXl8nUevRCwM8ky0eKlTPvV/qkd9TJxDqOKf0e/JEE3DebZrvqfN+ANTnrzcdNUMfN83uXI/VaFnFqQsYvnmZxQS9gxrtNytlfikzaQNfGxgNaWBlfsk5bjS/NJbNnncnoGkRPR1eCBgv92dL76kT5KHvP6J76uSqx+BlSAO+oxRvQxpYvQ2mT7ZIHHmWyaCp06LqLEdq8vOkWlxk2zo73xKn5XmxFIY0ABvSQNtn6Itz4tGWR7A6xIq2H3UyTlqdS3ZcCXWPPPIIGjdujIKCAq/qQyQRqsb8KYKblTazlWj9KryCeGrqjMdkJqime9ACRtW/G1xr6hTrATSC7J46M2q8X8rsqTPzpio7EMkPWNwVVsMElH/OLE0sHKXoyxbuqYN1OhGs+WbA8ExlVrwj7cKp8CQKIq99skJNHae88P5E8zxkYDR1ZnvqNHdtZn4pijGo/c17j2ZxPPU4cd/uyFEK59npNXXGPXVseidaFCf9v8L5bXuPkeCrlc1L1O703Yc780uzNiqHIaSBB45SZPBSU+e1+aVofJA5HoFn/sf7ppw4yTHD0bdmZX7Jc5QiCj6usO1JVsjiIb+dRv4d1mZcCXWiYN+E/4k6StEcs/OR6D8wnnURuzpnf91fX45sJ+DcwYrxurAmxXiP8dgcHcFgXidZtqs9dbp/ZdJKCTEWZl3R46bHzBMb9tRJaJu0aVR466nMrGzpPXUO2hUT0gDGZ8rEqeO8UTNNnReOUoIBhREY9BMUvRMgM1KCrKBq9wlZhjTQZGjuKIXXhmp+6/e62naUIqOp001uzBwcOA1pYLWnzspxihtkJ79O9uzWXMs/J7unzo75ZdTSwUG/Eh9NnY1vW6LPtvM+vHaUYhe+ZlYME9LAxSJTPLCqUoirqRPvqeP1a8Z97d49E/0YaVZeXSCmceqI2oEiMaEyvU73wVaqxpVofaBcxWYZbnBsfmka5JLnMTKM3dU4RtCVvCbIxKlzp6mz7SjFjldIB1pIbl4mgpqsAMgsVkheU2Vjbd1JOxbuqVOs04nz1gn9uvO2vF/qFmJk4SUVDcYK5IRIfSB3u8+fCWlgtl9J8zsUUEzML83zZdsZX1MnsaVOyhth+Ns3f17Swcc5vceRSos4dR5MqpxM9Hgemr30fikT8sMqDy/XhEwdpUjer7SmzkUHbb59w/0CUDT/6n+98tBpbMucci0GO+1ZhfM7FsjsydVjVacURnjTHudfqZ/DsXvq7NZQnqDJmCYqz8/75kRIa+qGDBmCDz/8EDNmzMD8+fMBAE8++SQ2btwoXVhhYSHOOuss25UkEoNZF2HnM5DR1Bknq4qjCasTzM0vZa4zF4K8XBXSTwRliPmeOpNro45SbExXZPZHGcuWn1CJtF1MWglNnRZVtRnSwEE6L/bU8TCENHAwATfX1NmuCjdfszwVw72b5xEKuHtGvD0jZqQEAgYhmHeFQZjmCOdmi1565N23m5cR+5AGbHon020n3Sivv/TWUYpcXrY0dS7EPHchDdi/uY5SPPbqbPUM7QjkVUmqqaviaKac5ieL7NYAO4I1u3dOe1wU0oDNn9HUxVCQMhvTROO66Nvzs7gnLdR9/vnnqKqqwueffx499uCDD+Knn36SLqxNmzYk1PkI1WwPlI3Wbvi4zfbUmeQfrxUUp0KY2RgS9Fqo46w8izDsqZO8kLdHUFSnCJH+2s4iocy92Vlxs7o2grHDt85fb35pa0+dg+YQS/NLvcZG/z5l8jTbU2fne5U1jdVr6rTtkVdPvaMUu0+IDa4r1oKEAjYcpTBaM74WLa7Bx70KaaBL5mSfprFsc8SOUsyvl3MsozENF6RzIlDr4XUfToQ7K22yCH06XkgDr52QWOXGc3hjRqIcpeg1dfp3xze/NC/HTPPnZJ+dE+HQSsDTtjHt2Gfl/VILs8cwhlM7/YJZ5FhdQ1qoW7RoEf73v/9h9OjR0WNffvllTCpFJAdme6BsTeAEH3dNGu9DGrjzfmldOE9TZyoIyVVFeJ3s82D2TCnyXkTN70euTDshDSLwVtUhcdwyb0WUJ/u3zCqq9qgKmyENZLWLkvWws4pthrF9sGjz5Hu/NKa15yhFnG8E/QIF6zjFPBNDSAObj4i3ZySan+Z3StAY0oC/P1Sbh05Tp8lVyvzSQaBldq+gUv2vlVBnjiGkgaFc9u9ET6rcaGuN59znwdtT5wSrfZ8iZIOPu9EGmmHLgsSi/4yaX8ZIU+dkcSF83p6jlERiVSPt+z+i0dLbaReM+aUT02pm2YWPufWJVb61D2mhbvjw4Rg+fHgs60IkKfqVZln0H5hpnDpdns5CGrDIjpOyJoZ6zOO6ea2p09ZJLl+joxS5ssz3CMpdbMdRSgSZwc3oJpmTl+FvQUgDkabOskZhYq+p4x33wvyS/Y71WTCmNhaOUpzGg5N9NwFd/lIhDYL6kAbOJ/RSmjpJ80u2TuzzYkMaSJhfymiedAK7mbCaEhTnwytG76HT8N7Af4+yOPESyNunK1O+oijRvMVCnaRALTinv4No/+lAuLPStorQ19GLkAZS5Vo8QqZPtkgceWax8n7J19TprtM9TZ6mzo6QGEsB0M4z1raxw5r9tELvl7o71Zpsx3JrTcQDuagusiSjAC4LOUohuES9X+qELln0KbmaOu2ADOuO3yucdjA8c0Wnmj8z3Acfl+/QzFZEYxHSQFs3u9hzxmGeVqRV4GWvPR7eUxeDkAaa37xVZ/134WR1mjXDMwlpIPGMI+U62RcJyL8bg/mlhGZQH9LA7hNivUSKF3xSTEIacIU6nZaRV0cvg4/ztL9uHaUYg4/ry2X/djLhdtY/aK83F5plyhNVV/ZeRN+DV+7rAXPBXN46QJdXDBylmOF2r7cWr/fUicYHs3J52A1pkMwEGaGuMvrbjvllJWN+GbtnoI8BalaXuoAroe6nn37CkSNHpNIePnzY1v47IvGYrdbb+Ub0H5R88HF3uBk43ZhfOnW8Yl4PbR5yuWgHNzudpyfeL6VLk+topb246VfmBJeJVvGkHKXA+d5Bcbqa37F0lMJqcsUr01bBx730YBrOgy8gGR2lmBeYoou950ZzbnVtStAkpIGEwKo3e2X21HkWfJy/UOA2pEGFauH9MpaaOtE1zPXmx2XwRFMnSJY0wcd1TyYW5pdmz8EqNzvjXsL21Flcx3i/TEKhwqlgdahSa34p0tSxsOaXscOu8y/RY0jC1yaNK6Gua9eueOaZZ6TSLly4EL169XJTHBFH9hw6gp937QVgT12vRd8pm2vqdCvZNsvwGpmS7YQ0cF4P+5NmWRfremS9X5qx70gFAOchDeSvcZ9OpFXgauo0Oe46eBi/HzgoWRNnAwNvH4miW4VMdEgDx5o6yeP6iblec2dGStBdSANt/2TuKKjmd0gxCWnAyVd/LzwtmoxprzPvlzV/eB183EpT50ios32FcQzRHreTnyitN94vbVTGAtMQOpI3a9DUcb1fejsWe6mp83pPnWhhiSnXKqSBai7E8POzrlsycLhSbk+d/jmymjrv6xUhqLOCAPwtnDnFVfDxAwcO4MCBA1Jpf/75ZzRt2tRNcUQcWfjderz10xYA/AHTCr2mz3xPnWLo+Nz20bIrmKkhc49fVoi0KXqcdmKy16VqBmO9BzPZovX1Tk8Jmd5LfRMPaVe/vwKtMhs6DmnAo4HFu2mQYv/dOdHUNawXwp7DYWuEgxWV+HTzDunynMSM8kJTZ/aewtfw8wOA+ppnnpZiPjSY76mTR9YxDusYRc6pjd4DraheZpoJbfdkvt+25lhKMCC9p0lUd+3fPA+EWlIl0hjLr/mdXv1eQxZtk3dW37b09dF/t076cp6AYdUnRDBrSyItqKIgKiGIni+v3aWG9EHo+egnw5HvTPbemHJsDi48bRzAN6dLT0lxnH+jeinYe7iCOWZVZTYumjhx5Nk1qidfRxH6d8N3fMQe179/rS5bRog1GzvTqsc3J+0igpMxUoR+sSRCekoIuw4e5l6nnY/pvy/9s3ODXU2dk77UD8RlT52qqnjnnXfQrl27eBRHeADTuWqOW/VR847vy/z992G9o79NQxoobJ7BgNHVhejDvOaYLoZjo9vko19+C9P02en10aheCs7q2gZXH9MFnVo0NtTHCv1EZVhxS9QPmQtCEbR3/uzE45CdXh+hgIKbB/YwTa/NyWw+Mu/4vujQPBN3DT0qeqx7TlMMK26JM7q0DudhY9A/vfqaNk0a4Z0pIzCqdR5zvm9eC1x3bFcMKsoxTFqmvvphdAW6XjCApg1ShWXp3+853duiYb0Q8hulRY/dOoh9LpFbeWr8ALRrmoHHx/Y3z1tkbqE3FVPMf2v5zylDufnx+MvRnarLY8nV3B8A3D38KOgRaQw7ZzVBj5ymaJFWH+PaFkSfxf0jj0arzIYAgIt6t8cdQ3qhQ/NMPDDyaCYP1mGGgmHFuchvlIa0lBAmtS/CzKM6oHt2U8w+tiueGGd8vj1ymqJz9ffi1BRUAXDjcd0ttVz6d6WdcJmtzE/rXCJ0EBIpI6Ao6NyiMa7o19mQR1Z6fYxvV4BJ7YvQpH49Y9012YUCARRmpmNs23xueWb3ooCvcZ0zoJvh2jdOZdvfsOJc9M/PwgW9SnFi+yLT8vRlBhQFDx5/NNo3y8SdQ8P98eg2+WjdpBH/es69PDr2GLRrmoGnJwwAAEwsLUSf3OYIKAo6Nm9s6M/074q3WBCJMdgtuwku6FVqmmbe8X1R2iwD/zT59kUakcLMdNP8tNw+uCc6t2iMy/t14qY5pnpM+eD046P9JABc178bGtarua9IO/jXCQMNeczq0xGndSwGEO5rF582DABw/8ijUdosA4+OOcayrlrO7taW+dtscWrukF7o1KIxrtKMlfp0xxVmM3+/PTnsFO+a/uEx8m9D+FZWtw7qgS5ZTTCrTwfm+GunDEXbphk4pWOr6DHeN/LXvp1wVG5znNTBOu2rJw9B26YZeO3kIQCAh0b149ZNhmv7d0WPnKY4q2sb5rhZ8cOLc6NzhvtG9EGH5pm4dVBPJg3PhT+vmzQb3xefGm4XD+rmUyKurO7Tnp4gHiPtclHv9jgmPwtX9OuMIa1aGp7Ta6cMYf6O3OYtA8PtYuZR7aPnJrUvYvqLG4/rblm+7IKx3kw/fIxN88Hpx2P+qL5MX1jbsK2p+/PPPxn18r59+7Bz507TtPv378emTZtw//334+uvv8b777/vvKZEXOGp17WDwVPjB2D2sq+wsXwfAOCxMcfgxA5FuOit/wEId1Z/7dsZX279A/9a9TPXvEg/AdF+iIOLcvD+6cfjwS9+xMy3PzNce/uQXnhj/WbmWEowgOVnjYFy65OG9Nf074pZfTpG//7+vIlYtWMXOi141VAXHnoTuRcnDQIgb345pXMJpnQukUrL48Le7XFh7/bMsYCi4N2pI23npSjAwvED8FT1RA0AumU3wfUffB39++MzRyEYCGDp6ccDAKYs+gDP//AzgPAgFukTVp9/Ah75ei3mLl8pLE/LY2P747Gx/fHIV2tw3n8/BRAWgL46dxx6PvZ6+JrqZ35619Y4vWvrmrxs3KchMLKEYNI7tzm+mzEBXR95TaqMlEAA/zAR1p4aPwDj2uWjyd+fBxCewF8WEf50GrQIjeqlRLWEASU8If7q3PFMvpFnMfModkK16vwTDHVgXdsH0LNlM2yadQqT5uvpNfl/f94EdF4Qvu9PzhyNYwqyoufsLPTomXNcd8w5rjtu/ejbaBszmu2xf2tXe7XP6Nr+XXHb4JpJFS+kwcsnDsKJmgmjGYqi4DVJIT6lOs7f66cOi/YzXIFc935577tlwzR8cPrxGPj0WwCAV04ajDFtC9hygwF8fNZo5tg/v16LcxcvZ8pjFsoUBRf17oCLete0kWMLs7H+ohPD6U36Sd4r7dC8MdZcOCn6d2ooiM/OHstJzd7fmV1b48nx4T7mw1/Love55oIT0K5ZJjePCK2bZmD1BZNMz+md0Wh5fGx/DH7mbW6+ChRc078rrunfFT//ucc0zTnd2yIvIywcHleUg3XVzw4AWqTXx6rzTkDhAy8x5Z/aqRhHqqpw+msfAQC+nT4emfXr4flJA/H8JFbgK2nSiHtvIv45rj+mdSnBkOr7M2uDVx3ThRHo9OnO7d4WBRk1gu/LJw7CiOpFveZp9fH9eROFdbju2G647ljjgsRRuc2x9sJJeHHVz3hx1S/hcjl5/H1YuM/8bEuNJQQv7YTSQkwoLYz+3aZpBpZOG2n6jls2bIBte8XWZLcN7sn0IRG04/wNA7rhJt2CxSV9OuISzVwigspxlCLLh2eMQp+88AJCSZNGePXkIZj4knjuvPmSk6Ptc1qX1pjWpTU3rd0aaQXLJdOM84teLZvjtkE9cd2yr8L5Vxcwe0A3zNYtVFn1F24RWeO8cepQHFeUg+OKcnBBr/b4tXp7EQAMadUS7/+yreY6BxYGyYItoe7RRx/Feeedx3SaV199Na6++mruNaqqomnTpnj44YcxcKBx5YpITrQmMOweEGiO682kzB3KR5LIhDQIcPIQelvinpFLa/cD1q8+1+wzMrl3h1bdXuwrdJODccWLrz3Vxm+TqbbMM7Ef2CJyneCcQDskvM5O+ZyVWUUJe5yMwFt7NPNUGL7efXuwctmvR7Sv042mzqosszy19dVOtvTCH09T5/X3ZB7HjrcQpvmtsOnYd2w0O3UK7zlIX+/RpIbnfEckhDlB9C1b7x80/83L3wx2DDO/zo3jHq/R1sTtXlQrUjgLMlb18sKrrptn7nzbiTYPB+Ua6mF9jZ19hbFohkz7SeBONv2XLoxTx/lmgcTeg1tsCXUTJkxAampq1LX32WefjalTp2LoUPPVzYYNG6JVq1Zo37490tOtTSCI5CHEM7/UmRIxkxKIBRuzTeL64ONmm10B64FZFrPO3+5Eiqfi93RPnbPLHJVt1oFZxeDS/x1ZnZQS2LgTJ/Y9yASS1h8XTUgMHbfEZM7qnAj9t6Itn5ngaq4J6r6FCF74AmCEOonviR2o9Xnxz4nzNH+nxvfI/q113y6aQPDq7Mn3BHvPr6ZOrADM09QZ+1NntVZ0SyLOnJV4M6nhWS94/W6YvPVtx4aXSN59Wwojivl7Y8a2OATJli1BWy+911iva8ksEFvkLtPnm17HOe7GeZk+fq4svJAGPPTTIkNfKGM9lOAFg2QRgQzzFsFzsev92i/YEuqysrJwxhlnRP8+++yz0bdvX5x55pmeV4xILOyGZXB+KwaByOwbimrqqozBdRUYV+fMPi83rpX15YmOyZTC24wrqqLdMAte9NFuOiorTZ3+78jdyQwuvBTGwUz72/0DEblfF+XvXNuq/c1+K+y+C3PhLeTBBF+LVRw2PczzF7x/p5o60URS/2545peiCZDTCSIPbR72BAX2N+++9XsCXWnqNNc6mdh6JX/oNfoRRAsGThAJ+laOs2SeudUjTKSmzolmTXtFKKDX1LmvkxZtX2PVrpw+r5ho6hwKuvzg43K5iBaqeCRcqPO4r3WK2T7q6G8bC75+xpX3y3POOQd9+8pv5CT8g8yeOgX6AUwxHcQjR2Q0dQHd3xHsTKJEmH3XdjtEnpMHUzfoLlbb44WTZ6I/axaonl8er22xv2UmK0ZBjY9oE3VMTFJ0f2vbB29/KWt+KW+2JINt80uB+ZEXZoJ6oZd3DuCbcBmEQe7k2tsXbGeRSa+Z4923vs27WUxwranz6INgzS9jF5RZZCpsS6vqVFMnsUAUj4m3k9iYKUFFqv5OsePR0qmwz0vr5pk7negzixcOrhctbvKws3ATi7kFO3YnTkJyGqfOysGKn3Al1D366KNe1YNIMngmE/oPwaCpM8kr0pHz9tSxq3Ps35Er3ARaZcszE7w0vyW+Zr6mzruewGvNgu1rbeYd8VAlU6TMYOlUayFK58SsxU7ZgGDfEARaC81vZq+awzrw4GkB+en5E29ena3gakIEZQP81X7RXk+v9qfV1NGeUMyrh37xouacYtizLIPZ8gBPuJXFq56MMTnW5u9w8s5D9KycCuDMcYta8toa8x6ka2EPR4KD5qqQwmrq7ISnkYHVssvXy4t+xY0Gxum+T+3ihUwfpLfiseoLzUi0pk6L11UJtwm5NilcuDXkq02XPM/PLXEJaUD4D8b0i/NhKAq7QmTQ1KnsRJ8ffLzm72CAo6kLevPRWWmlnAglkcs9Feo8mOo4NfcAJFZUdddURTV11qVyHUoYtBZg/naLURiXu85p2fpvhRXqrDV1Tp2R8NA6GJHaU8f5ra+PPfNL82/NKvCvtr5CTR33twffEyMUO9P+6C0RDHvqbPZF/DJrSB5Nnflx7yeBLFYCuIxDDKu+gqcV5jnF8RInDj206VKCgZgKBbYcpTCLEc76FS3uNHXOvkVeSAMe+pHAidYo0UJdsghFIo2lqIpkfqmjqqoKv/76KzZs2IDdu3dz0+Xm5pK5pk/gx6njC3F6AU17nIfVpv6IYCiaRFn1J9p1HrOkdvsjnqbOrENx2tfFU1PnpCyDpk6V19TJaGvCGg3r3Oxo3wwCgK4t88uwMbnQTu50+WtzqeJo9PSeYGuudw+zp06xKdQZnrP5b8s8uc9Hn449wt9Tp58Amb9TbzR1NThdZNK3A71WxwuPnQp0zqcczFi8muNo66FdyPBc4OaUCVhr6kTXWh23vq7md3zML2XTafqCgOL5+9BiZ2+wqM8RXsdJ625PnbO6sFYY7hdU5Byl2Mnfbo0k8uT8jjfG+SM/rWj897PjFNdC3euvv45LL70Uv/zyC3M8OsmrfnCqqiI7Oxvbtm3TZ0EkIbzVTWFIA4i9X5oRzkObv3laN3vqAooSNf00q4vdiZTRM6RiyMctTgeUeGHoPKv/lakrX1PH/9vJXhE9ok3UsUAkqMjsqfNcU6fJQ877JX/Q86Ju2qvEG9z5q/3SIQ0c1ZCPHU2dVpgJKPJt1Ks6JzKkAT9/rwVu/nNz6tRGix1NHT9NbB6qk1yZBQqdoxSvYbXs4rROHTDx8EpTZweeoxR+erH5pUwtbIU0kE4pj5Ox2g0BRTEdQ/WPQWS0KZpjJeOcSxZX5pfffPMNJk6ciJYtW+KFF17Aa6+9BlVV8dhjj+Hnn3/GunXr8OCDD6J58+aYPXs2Vq9e7VW9iRgT4mxuNjpKYQUis29BrKlj8+epz90IdfrVcGMd7E2keGZ85gKtM+IZp87tpIA9bp0bX1PHtjOZ1T87dTcKWc6uky5P0O54IQ1k9uY4xbajFO1vocAtXweud0pdOv23lMLbU6dfYeXUy5PvyeL5yexF0sfyDOj6Vidmifq5jaKwiwaJDGmghdfmvTaN1b9r6zh11s/cWsPEWagSWKF4hSL4HmSuSQkGYvK+o/nbcZTC+W2FU2FcmKeD5wrwQxpIj8eGvtb6yoSbXzq4T3flmSN0jCKoWaKfn5e40tTdcsstKC4uxtKlS5GSkoItW7YAALKzs1FUVAQAuOCCC9CrVy/0798fJ554Irp16ybKkkgSWEcpNegHT14gbkBr8ij40HSCIO/jchPSIJynSFPnJL8aIp2uWT7OTajcI6/dcjDp41zD817KXCuVv8N6Cc4ZtUGxez76/PVlMaZonOy91tRpF0ykQhowkxoWx3vqeJNmgdAI6ONm8ifh3D170jXko83DjkdFdi8ZP09F8W7flXZimciQBlpk2rwX6LN2uv9Ri1Ub553XHnYTMy2W6EMaeJ+/+YKMGY5DpQjGI6c43fdpd0+dHjsenSMkWiiJd/GaKR2Dvv8UhZLS1jnRz89LXGnqfvjhB0ycOBEpKSnCdH369EHfvn1x7733uimOiCOsoxTzyakC/aq5eedqR1PHNb90EXycJ5TWHLO3ymQnpEEEu/7EtEXYDHFXk4fH6WSukekbZfafiPYeifISBhu1EBy418klE5anL4tnfqk96jTANw/b5pccrZq+PnZWsXmClsi8E7DhKIUzUHsxZmvzCLkQ9HkagHB/yl8IkC+D75REOo8YTHJ4e408eTcCTYEt80vJRQe754FYml/af5asJ1d9b+stKZwFGfN6aX7bqBIvqWd76mxcx/NszPumLIOPSxSe6AUDp+9NBjMLCNnFF7H5pb15n19wJdT98ssvyMvLk0rbr18/fPDBB26KI+IIbyDUT5pEEydZYUR7Gc8mWugoxWqgsFxlFZ42SW8uSNSm1R4r+GZK1vCet9jJiftnK9LUeeXGW7bNM45SJAYob/aX1Py2G9JAdM6pVkck9OqzdBLSIJafo5lQLOfQQBcTTHcvTBgLybqYtV39Pj67xLonE2mBXeene/F2HKXwcKqpY81gJQpygCNtENMXxDOkgXxlk0lTZwdeSAN+evZv/RUyedhz5uV9Q/QivqYdeN8Sz9EeIP7O473fPpa4EuoOHz6M1NRUqbQtWrRAWVmZm+KIOMJ6rIL5b8UY0sAM0QcSDj5e8zd/T53xuOyHZ7XiZtdRCs+xS8Akd6edg9f7TLxIx1zDe9eKm5AG7G8vzC9FLuLjGtJAd45nFqJyzOa8GIdt76kTTLxFk2hxnnKDv3FPXU19g5y+Sf+3F1ovNu+aPJzGzQy365q/DSENOBYSdmE1vg6+o1ho6rghDbx4N+a/AW+Cj1v3aeZo7zlWIQ3YesiVoU2VEohxSAPtVg6LYpwK+7y0nu2ps/F8eJ6NZfGjgKGfF8a8PE4h+vkjGxtT91yZftirmiUeV0JdSkoKjhw5IpU2LS0Nhw4dclMcEUfYzc3Q/GYnSkJNXWQfm8gkDuxAZMf8MpKv9UAhnkDYnfAFFfP9hl4O2l6bJHmNG02dzL0pcDZQiJwk8DSs4fIEbdSW0MLJX5cHO/Cb5+X5njpN+7TvKIUt36mmjj/54g+4gH6PL/+5ikzF3aItymyRiQerNeM7Y2xefAAAV5BJREFUAFL0lg8O6hiB2VOXwJAGWvghDdwjcnZiZZom0hhH8EZTF5v+2G0/GXaUos3P23rywiOZ1ktiLmB6ncP3JsLpt2hX06lPb2dLgRNi0QrjranjYSukAfh1Tpa4e05w5SglKysLf/75Z01moXB2ZoJeRUUFgsGgm+KIOMKbRIlDGthf5QznUfM331GKR3vqTM5ryxdtrDVLbzXxjhyyuy8urpo6B2XJOAawW55+gisz0bAqjrc3VOZau+lE1+nzkPOUqL3efXvQvjOZ70kYR04wIIrz5PwW5A/wTbisHI/U/Pbge/JCUxeuTM3fumfshfmooige7KlzVrYIlaPB8LosuxM0GeHfUhjhJHCrMZXBrUVDKKDE5H1r849QaTEQOrYA4Lwh7+LU2VjE4dyi0/HGD+JFvOvIe6/G7Tty5pc+luEMuNLUtWnTBp9++mn076ysLKSmpmLr1q2GtFu3bkVBQYGb4og4wpu0iEMamOcl+mBkA+WaaRZkv0OrOrIBcp3nZzdGn4hk72T4kx/rivPbifvVMv0VolXiWD9jUf2rOLb+PKdBXiiB7TtK0dZLn5f7+ogmTXqBTzqkAVNH68m6U5x7vxRp6rwzGXVtfhnjaZrMgo3j/Fxk53RvViI1dVqkBQdtXxCIcUgDzbdSWWUh1Gl+25mcxlpTZwe3OxL1xXquqYtBO5TRdntaHue4U+2uE4+jyYoroW7y5Ml49913MXfuXOzZsweKoqBfv36YP38+E2R8/fr1eOqpp9C/f3/XFSbiA9/8UvtbEe5ZqjnOntHvFeJNxLSYbXaXNzXh1yVcZs1vu0Kd1xPvCF5k5SRmkXTeDic/gNxquKL/W1oQZM+HOO04XEbsnk84f34ePK0Fb5O9FwOxu5AG7gVufT7COHWSmjrRBMirib5ZHk7jZiqKoD+F4sk+SgXuhYnYhDSowetJoFcTSW7fZJE/7zSzpy5WmjqX18QzpIG1ps5Zn8dL6eaZ2/WKHYHn2Zjr/dLgKMXfAobX9TUbp3mv1bCnTrDNwevxIVlwJdSde+65mDZtGq699lqMGTMGAPD3v/8d27ZtQ1FREUpKSlBUVIT27dsjFArhlltu8aTSROxhOuIqrVaB7ehEnugiH5T+g9E7OhCFNIjkYa6pk/sSLTV1mnxkzC95jhrMBhA3JlRuiWVH5XTyE04jI1B4YxIk0qhILwp4oG3V58Eb+NlyzX87xX7wcf5344XHS9Fx/d/cRSZ9Ppw8vNYG2Ymbqdea8UxXjZo658j0YyJiE3ycN4548W6c5ycjYCazps6JIMQsUATjF9LAlqbORpX4i4zyeYiujeek36ovTEZE+5xjXZ4WOyEN2PxqD6721AUCATz11FO4+eabsX//fgBAz549sWbNGjz77LPYsGEDgsEg2rVrh6lTp6Jhw4aeVJqIPdrJcEVVVfS39psxhDTQ5RF1lCLU1ClQBO63I3mYmYPK9h1WJk1mAdNl8/PamUUEL3KSzcPJgM6dnEtcyw1pYFhJsz/BNezFErx72ZAGdl4rszIoEIp4sYz4dXDfItyENDAKTw4FXc47tYpTp60vT8upv877OHX2hGIzAoqCKoXf1uxaDQDme3i8NgGLJV6X5SY/p3uzWBN+1fR3MnnYY/aHKrENaaB9drY0dR6Mgu721Hm98GCOIU6d7m8/hEqKdxVlQxpoqU3OUES4EuoitGrVivm7WbNmuOSSS7zImkgQ2klUBaOpA/ObdcFtnpe5SVxlNA/teW5Ig6DxuPxEn18X/TGvHaU4xQtHAlZeR90M3cKQBhb15Ts90Xe6bL5S9dIlE2nq5EMaOBRgtPWX1NR5O51isb2nTiBgOG3rvHcqNo1RmPry9iMa8newKCBCm4cbRyk8D3/6/lRGm8vDpaIuNpo6blnuEWlvLa/l5MNLYwetYiou3i9lr9EkTAnGNqSB9ju3p6mTrxMvpZuJe7w0dfo5R6xDGsTiVpy0QVflcV6I3icDM1ZYjDFs/q6ql1BcmV8StRftSjSrqVOY3yItWNT8Upe3PhaTVEgDV8HHtWmN2NXUMSENtAKpaSy95Owd3Gox3Ex+pE3wJHKzSiFsNx6vCofz1PwWpGMHm/i0Ee2Cid2QBoZzHlSZnQiIV1G19RXFgeJ76vX2GZstMsl5NGUXPfR1ZPoiScHM6BLdnUAYycNrVM4Ey2vPpHbzk+kHnAo98fjOZcxHDddofocdpWjPxa4/qlSrhOdlBGzT60wSu72LRGnIYh7SIAa3JbJKiSei4OMiDIuDSTpvkyFuQt3vv/+ON954I17FES7RfhxaTR3reU7SMYYujd65itOQBtLaG4sB3+7nGw9NnRan8zPZSbmTWotCGlgK2ZIlOqmjPl1IoEl2sqptB5EmSuadeq21cxPSQF9fx5o6bln8/FVVZeormhgqnG/Tiy9T+wjsaOpEEwtRSAM3gplroc7V1ebEUgvttj8zy0fmuBVuNabxIBzSID6TWDvml55o6qRzENfFi6fjROD2quxYI7JKcYvZYpl8SAM+ThZD/EDchLrnn38ekydPjldxhEsYkwneBnfFmcZHr9GSCmlgFnxcslyr83ZXx3mTRVGcukQgKtutZ0X+ICoj5Nu/Vlq7p9fwCB2lyC4KuEefh909dV5g31GKKC9ndeAJuvrs9PnzHTfp8mfKclZHHtpy3ThuUni/9Zo6uxXU1MP9nrrYtkreM/Akb5sZyiR37t4+9lKdk71f+uDj8cLK/FKLnSdu9nr035NdtE8llt+D1Z46P+z9irdmi1eaeE+d/m/7340fiNvX/MMPPyA/Pz9exREewnOUYnDBzfkw9Ef1mjpGMBKYvzjt7KwmENpsZAZhOyENIofiMbgby5bv4OymiUlIA4eaNBEhQZw6WZy77+fnwbP112p1vF7l1y6Y2A1pYDjn8Gmy3yJ/YUF/jrvIJBDqvfbIpu0HnXq/1NdFL9hq+8ZEaupiEtKAF5TZg7J47cpNPjLHrXD7HmKF9n6c7g91gqWmTvPbnqbOZEEV7tqW55o6BwK3V2XHmnhrvXhliEIaOMnPj0g5Svnss8+wZcsWRwUcOnQI3333HZ588klcc801jvIgEksFL6SBIt5MrHKOG71f1iDqyFOCARyuFNvkm2GlTbSrqeM5h4lVHKJYIDNgKYrCNR2TFcysyhblKbPXxSqmj1MvhV4gG3w8XtgPPs6vvxemxqypJP+cHtFqP68v8eLL1PaDToOP6+tiDBGj6YvsVjCSj+JsQUDRlBkbRym8vsSLtiTu453ko8WpgGFDMeUYR2bqjNY+fuOWpaMUpk+w8czNFlQVd999oryVGsdBr/P3/sa8WlSRL0/uOxWNsyKTUR9N5QxICXUTJkzAb7/95riQtLQ0nH/++bjqqqsc50EkDr6mTm7iZAhpoI9TxzmnJxRwJtRZCQfaI8kS0sALxJoW63Siu3FyjVUa0QqlU/PLkM4pjxOcvlWF8xvghz5g0njuWrzmt2tNncOHwpuAWoU00CI9UHu8elyhajV1zhcLuJo6RWFDGjgU/MPml/av1S7ixKIri6WmjsnP5hcru8DlhPiYX2p+O7BeSSZNnRY7j9wsqQJ3ewW91vTzstB/50aLleSaV5jh1aKKfHnmx4Xml0JrEE+qlRRICXVr167Fn3/+6aiABg0aICsry9G1RHLA7qmrwRCnzqD6Np8g6L1HasM2GTa6as7pVxSlVyW1v00u0jtlsELvLMYsn5ryEtdbuNW0BBSFOwiLQhrI5CuDF4/OC02dYwFGkAdvshe3kAYSz4XVGondbsviZN+ZHtHEkLfI5MXEqJJxGOXNd62vrxNNnVk6J/JgQKnRLMU3pIG3ZbnT1Jkfd6q1SVLrS+Y+42nNYKWpU5m5gPxDN3WAprjV1FkL+15g3FOnX+CKYeEeEe8q8sqz4yhFJj8/IiXUZWRkICMjI9Z1IZKUI5X8kAb6/XFmiDV1ehff/M9Lb/IUSWr1QVpN7uwKXlqhVFtfkfllIgZ3WU0LX0ATXC84bvU4Rdeyfyumv+3k7YUTAOdx6vj1Z93yO8reNtr2KdKIRxClcFplXruz8wzYOHWi1VdvV2K1FgteoRf8tXWO9566oKKgArHU1Jm79/deU+c8vayZtyzxMLN2svdLez9xdZRiR1NnI19zTZ27RVWvNf08rB6JL0IacBa6YwU3Tp3CtmWVo5AI58HPzw/aUR4Up46wRDakgayJXFB3jUxIA8BoJiL74dnx0Clnfqmpg4X5ZbJ2DW5jwPFDGkjky71W/LcT7Di08BpRyYneU8dzSKRFGLzeY3MkUZw6fUnCPXWcyYUXraDC4QYpkQmeSPB300ScXBovzYSeRPeRMpN3p91IXIQ6J9doLopnH1lpsTCifVruNXXupuaJ2k5hiDvpcf6xvivPhVCTGsuGNKiC+UKSsQzd34nulFwgpakj6jbSIQ24q5wsBk2d9pzehFPzW28mIvvh2VlFkjO/1E6OzY+blR1vxEKZJh13IiOa1DurEyCv0XUieOrrleKJ90v31+mzkAlp4PV80O7+z1g0XZ721c4zFnq/5JXrwYcYD02dFqf7sRTF2X48t2FOrOCaX3pQFk8LaBc3ZuVmxHvpRraaVuE5YkV899S5E8zYRSEPFrGcXucDCUPv8Cn25ZljDD4ul4cPHrE0JNQRljCOUjTHFSgGpydaarxfsmf0mjrtWbGmTj/pl8POZMWuoxRWU8e/Jhb7PKyvc6dpEcd8kV89M5YtlcyR+Yu+Xl44AXDuvp/f7qo8moTaQfutSgl1MaiW7AKCqGjRxFA2Dp4THGvqHM7s3XhOdHKtVXgWt9j1pOsUN/k5WeASEW/zS1nY8BzJI9Rp24hbTVk4FIrz653E4HWCfvFG5C03WYm3UMQrTr+tQOxUyw9P1j6uv+b9+/fjxhtvRN++fZGdnY1gMIj09HR88803AIAePXpgxIgRWLZsmduiiATBhDQQmE7Kuqo3er+Um2w6XVG0s4okFdKAM/kR7VNKyJ46yXOO9tSZnJPtImXL0/7J95wnLpXR1DnsxGOiqZNoEN57v6yphdyeOu8HPd7qqJ2SZIOPM8eTVVPHPAP9KrNT75fO2k5AUBcv4GvqvC3Hbn4y44PTKsaj33eiUdIKVynB+E1uYxZ8nHMsFgK+4/ycLg76QPaItydJ2dAjMhYx4XM+eMiSuBLq9u3bh65du2Lu3Llo3bo1zjvvPMyePRsHDhzA1q1bAQBXXHEFdu7cieOPPx5ffPGFJ5Um4gtfUyfehyEdp05SMNKfk3bfbEPjYzf4uJVA6kVnEYuJgdReSEHdTQdRBxo4UXlOJuIG88s4Tlj0iJ4f4yhFczyWk0BmAcKmpi4W9eIJeGZ/a5ENacAryymx2FMn+g6lvV+aJHTm/TK+E7NoWR5PqFwFH5ecLMoS772zstWsSFLzS2/31LlbzEncnjoW773DxmCxLoYLQmb9J68EW3HqtL8FC8p+w9XXfPvtt2Pbtm347rvv8Oyzz+Lmm2/GjBkzmDRTpkzBxx9/jFatWuH+++93VVkiMfD2sOhDGshiEM40v40uaWvK1k9EI39ZdVJef6A8xy7JF6eOXx8Zpwhic1K+AGv1FPhOViwulECfhTfml+6R3S8Vy7hWdtuqF4Gw9ei950Z/6wV6oUAsG9LA2+/Rzn4gWUTfoaxAYNZmHHm/DMTu2QH62Ize4sabpkx6p31TPEQ6J3XTLtTGc9yyDGmg+e12T53ouN08YymbW+Xtt5AG8agu30ya/ZvpcwQLh6Spq+bdd9/F5MmT0a5dO2G6+vXrY9y4cfjf//7npjgiQTDml7p9Qvr9cVqicep0HwwTpw7sgCwaYHiaOqvP0Sr4uBYp88sAG2cvejzJhDoRchMZZ5o6r4RsZlB1OD3ywrOb0/FcNGiwIQ3i0254ZsM8YlEr6XcvSCjcU6cpQdtmvHjEsXeUIr/KbEWVI/PL2Grq2PfhbVms63J7GcpMSGW8xZoRH++X1gt0enhbKmKN1TfkdE+d+XYAd8HH4yXsWrUQ771Jeg9vsS5W8L5xfUgDUfgbJj+DwOefuZweV0Ld+vXr0bp1a6m0OTk5KCsrc1MckSDYVb2a4wocer8U7MsTCnWK0z11mt8W36rdkAZW2o/IoWSLQSuaTJql0eMmfINseVKCp0XeIQ+8XzqdzIvandSeukR7v4y5mY75cSsqOYtMony8WIl1an4pQhS6wen7VxTFvfmls6KFcPfFem5e5uZaTt/kVFOXbB1/NbFYoJDBXpw6G0KdSVpFcamp01zshQWF0zbkB/Ei3nWUDWkgemvx9tgZL1x5v9y1axcyMzOl0tavXx/79+93UxyRIMSOUqxXXA3eLwVmPiJtl8hsU4Qdkyy7IQ0UznHZ8hKFm3hy4XPO8gQEpjIG81r7z060gOAUp5N50fNgVxDN8Xo+KKsRj6b3uHxD/trFEYP5pTYde042pIHXm/edToSdutV28/5dx6mLgUAfL/kmFu02mffUMQslkvWMhSmxVLmxMr801dS5++617zwG6zlRjN4vdXHqvNbUxXGxLlbwzS/ZE7L7r41zD/9CwccJLg3rhWX+4cUto8f0k6ZmDVKjfzepX880HytNHTO5E3Q4LRs2YP4+uUMrAMDoNvkAwNRFy5BWmvp7oKkLcibHvPKThU4tGqND8/AizInti6LH++a1ME0v3FNn0u1FnsVRuc2F9WjKeU5tmjRiy9CulHJejPY+zDi2IDv6O7dRGjddm6aNuOcyUlOEZQBAj5ymAIBTOxZHj7HfSpj6oSAAYHhJbs05TULeu/CaPMGziKAd6LLS6nPTlVS/t/QU8zVC3qKK9nfX7Cbc/AsywnWNfHdDNd+zqM5mz98Nx+RnmR4vaRy+/wmlBczxgox0AEDnLP69FTduGP2t/6baN5NbMO2W1VRXzxa22lGk3xpT3Y8C3u7jSatuFyM1bV7bV3q9Z8hs0jqoKIf5u32zTE1f2Mo6Txvld8lqHP3dO7eZjSud4eTxtWmSwT3Xtin/nFNaZYbb+YTSQmG65ky7cKupU4R9hZM8RYxvF/7+R2jauZaugn5Ai3589FrA6J7d1DqRTeLt/TLyrCO0rh6D9G1G22dH+mMz9FUe1TrPXQUTiCtNXf369XHgwAGptIcOHUL9+vyJAZF8/Hj+CVj2axk7UdUJZBf1bo+M1BQ0T0tFN11nwfV+KdDUiTry+0ccjWMLslHcuCH2H6nASdVC3TX9u6CkcSMMacUO3D9ffCKWb96BrllNMH/F6uryxMho6rQmfdr6XtS7PfIapSE1FMDkRR+Gy0uSJZ/maalYOu14qFDx1k9bcHKHVrjkqA74umwnTuAMtHZs0MPpw4xqnYcXJw3CKa8sM732zK7mJtvtmmVi8WnDkJ1e37L8CHcO7Y36oSD+/r8fqusVvmbthZOwYtvvOKlDET49azTKDx0xFepWnDMOW/fuR4fmjbllZKTWw/vTRiIUCCAtJYjt+w6idZNGaP/QomiaN08bjrd+2oITO9QImWYrgWsvmIQPNrLflJbx7QrRtmkGumU3xUkvL7W8f7t8etZo7DlcgZYSQh0ALD9rNPYdrkC2bkEFAL48Zyy27zsYnQSuvuAELP2lDCpUZKSmYN/hClRUqcjPSMOwZ98BwP8e+ua1wIiSXJzw0tLqdAo+P3ss/jhwEK2qhaYNF5+IjzZux8TSQlz1/grTfGS1wE44tVP4nekXLZafNRpvbwh/U+f1LMXnW34HAAyrXgw7Krc5Xj15CCPAfXH2WOzYf9B0T/I308fj19170bOlnEBwbGE2/n3SYAQU4GBFZbRt/euEgVJ5fDt9PN7/pQzHFmTh0a/Xhuvi4VRy9fknGNp80wapWDJ1JFJDAWaPslOsXJe/ctJg/GftJhzfOg9vb9iC41vnQYGCN3/aHF0cjPDpWaPx4cbt2LH/YLRfkREwvpsxAet3lqOvZiI5siTcF2oFvVgi+9Y6tmiM108dyizufHXuOGzZsx8dWzT2vF6f/t9ovLNhK07p2EqYrllafbw3dQTqh4Ku99QFFQXTe7RDRmo9HJNvf7FMu9ggMy94esIALFq90bC4892MCfjpT7Zd8FgydSSaCIS6x8f2R6PUFPTJbY4Pft0OFSoGaBYuZRhQ3V+081B4F+0f95rrj+2GK4/pjHs+WwUgvKD65mnDAbBzy78P643JnYrRpkkj/HnwMAoyWaGOJ4jePfwoXNS7fQzvILa4EupKSkqwefNmqbTbtm1DUZF4VZ1ILvIz0jGtCzsB169+Z9avh4uP6iDMRyS4icyn9BQ1bogr+nU2HK8XDOJ0E0GhVeNGaNW4EVb/vktTnrjDkdHUpQTNHaVk1q+HM7u1AYCoUBfNN8GbK87s2gYtqoWlM7qG69iuWSbaCbQBokdldiqSXlEUnNyxFfBK+O/u2U3xzfadAIDjCrORXo+v+Rqt0RbI7GlokBLCmV3b1Ah11cfbNs2IChuiwbRny2boCeuJ72CTFd+RJbl4e0M4dEvztNTou4/W38RmvyDT7Jti053CEfi8QGZioaWfIH2vlqxwk5+Rbvodflv97gH+QKpAwcRSjUAMo/BUmNkQU7s0xOHKSm6d+Hvq3BNQFEzuXGI4nt2wQfSbKm2WiVKTb0qvoehdfW/vVrefcB3DteyW3dSwQGbFJBONdUQItSKv+r1tKd9XUxcP52VmbR4AhhQ716KIMKt7kwY132fkXel/R+ibn4W++Vl45Ks1wjz1dMlqgi46bUy0L4whTp1UjG3LCh89cpqhR05sNIs5DdNMn7UZQ4vNNV0izO46oCgIBgKYYvLNSuWpeZYyo3dGaj3DGACYtwst2qmB2TehrUeH5pnRPvz0rg0NaWUx6y/cEM9tJmd0bR21eAGAM7q0ji46aueWkzuVQFEU9OFYLfA+ldO7tEa9YND8pA9wtUTWrVs3vPzyy5bauoqKCixatAg9evRwUxyRBMiaSgIa75e6ZPo9aYygqEvrhSxkxwGATHkhG3uTkkRR56geonsThTQwppXL05ifZLoEPWR2/4eZ+Y/9PJNFs+sl3BAWHpjsyGr6/eDNLNFVtOMluK6RbOFqtCRvzeKH2fft1qzXrqbOKVZOWPwQ0kCL15+KMdwN2+bZ2Ibmv+2W4WdcaepuvPFGdO7cGX369MEll1yCkpISHD58GEDYM+by5cuxceNGzJs3D5s2bcKbb77pSaWJxKEPaSB3DQvjQdNSc+aF1yn3k0ctjKbOfXZxwcmkVijUmZbBS1tzwo7jEvn2JS+0xwrT5yFZm3iariQCvXY/+lukCRa2PfvnkvWpqhIOc+KF7LtJdrz6hnj7P5MZf9TSe8zu261Zb7K8cydzrngTT0cpisKGqtDK22y4LPkFdybciusaJhZXQl3btm2xdOlSzJw5E+eddx5z7tJLL43+7t69O95//320bdvWTXFEEqAPaSCDviMyaOocanJk0Xbtlt4vJYRIbewzS01d9Xk3nXGi+nFRsXZCGsRaU8eWFb+HxQY2FWvqZOvFrA47rViSwT4HThqH+YnL8nYxp7YTz4mZ14iCDDuF7be8yTMWJOtEP9G43ampHati2RdbKQH98F2yC0KxraVeU8erh+zcTPa4X3Al1AHAMcccgxUrVqC8vBwbNmzA7t27o+cyMjJQUlIiHfaASH6cTJT0yQzeL2OsaRHFgtIjY2WRolkBtBICI+W5Md/wwvLDkYAkOmdykm9mp01jo3zZ9pWkfTCzEigMmK35naw34wKexkN038K2x1zHP8erQ7KSTO8+mc0NrfBOU6f5ncTPo7ZoWN1gZzxykmcit8TX9b5LP8dSFJFAZv7bCj88Y1lcC3URMjIy0L17d6+yI5IU1pTKSutljr6zdaLRsIMdQUKm79Z6v7SKu5MsOHmsokHRbJCTeXexmCwqnN9+gbfokKyBi+3C1c4J92xK5m0jz2TEzoJTrIm3W3IvcTqZkyWZNXWE+VzE7VjDauoS1xnHen7kBckyBmvbgVN/B8n5hOWhOHWELexo6iKTUrH5pWLrQ3SCHZt0GY2adk9dooK42sVRIG/BJWZBPfnmlzVn9AHkheVrchQGcE5SMzsnA3CyDtpu4GkSRBMBcTgNwTmJcpOVRNextuzt9KrmfnEcY2ehtbZi9u3YGWtM83R1tTxWM4hkEZhExFPwlA21ZFULGW2fH4mrUFcpcEVN+AMnHYw+HesoJfY247a8X0rkp91TZ6Wp83MHIeo8ze5aZr+U29hDVvnHE1nTWyt431QiV4e9hBsQ3LGpjFxZstckC4mekCeDwyGnWO1vdYLTfiveJOuiVjyJhaaO54wj3vhhoS+efYdwT7XmdyzmGn7Atvnld999h2XLlmHt2rU4dOgQCgoK0LNnT4wdO5Z7zRdffIHp06ejY8eOeO6551xVmEgsdpxeRCal+mR6D0WiFXVvQhrw83eCdk+dXzR1TgY4sfmlmabOPL02H3uOUuTSJmpF3c4Gd1lq0dgShY1LKftORedqpwbUB1X0Bd5p6mp+k/llcmO+py7+9XCClXWQ1/OXWBDPeunHeMZzpQcLHIleXHOLLaHusssuwwMPPIBQKISioiKkpqbi3//+N3bt2oXu3bvj3XffRbNmNcEr9+3bh9mzZ+OBBx5A+/btcfnll3t+A0R8cRbSQG9+qTmnxEFd7/GkX5uf7J66RIt+Tu5abH4pn1573F5Ig5rfoueXrGZ2jPmoKJ0DocdPcE0iOQ5UbOUt3QclP4meTNSWpuedps4f36UfzPNijdl9axeP3RJT75cW5/0QWiOe+3FjoamTzd8PSLf6l156Cffddx9uueUW7NmzB2vWrMF3332HnTt3YsmSJdi6dSvOPvvsaPo333wTnTp1wvz583HDDTfg66+/Rs+ePR1XdNeuXbjyyivRpUsXtGzZEjk5OcjJyUHHjh1xwQUXYPv27ZZ5rFixAuPHj0dJSUn0+ry8PPTp0wePPfYY1zx07dq1aN++PdasWcMcX716NSZMmICCgoJofjk5OWjVqhWmTp2KTZs2Ob7fZMVZSAN9Hqyqng0Y6f0XFcuVLitNXbJ2wjLYrTkvvdM9k07MF5MJZ85pvK9HouG2C8nB2ZM6+GCkTnQV2cWR5H9e8aQ2fpe1iVgEH9cSy+DjVvjhU4znftxYzAv8PE/TIy3UzZ8/H0OHDsU111yDlJQU5tzgwYMxZ84c/Pe//8Xq1asxZcoUjBkzBnl5efjmm29www03GK6xQ2VlJYYOHYr09HQsW7YMW7duRVlZGcrKyvDpp5+iffv26N+/P/bv38/NY8WKFTj55JNx/vnn48cff4xev2nTJjz99NN44403cNVVVxmuW7VqFUaOHIldu3bhwIED0eNHjhzBxIkTceqpp+KXX36J5ldWVoZ169Zh0KBBOPHEE1FVVeX4vpMRJ97a9On05lgxD2kQw/wthbok6SscmQKKzC9N1he9D2mQ3OaXVkibj3Ku8YllryU8TaQXq7uiy2K9V9drEl1HEuRY/OI4xg/eEWON2V17uUCcyK44mdtehHhay4i9JjtbQGby8MHzFiEt1K1duxbHHHMM93y/fv1QWVmJrl274o033sCDDz6Ijz/+GB06dHBdyUWLFqFVq1aYM2cOmjVrxry4zMxMzJo1C6NHj8aCBQu4ecyZMwf33XcfRo8ejdTU1OjxQCCA0tJSPPvss3jppZcYjd+aNWswatQoPPzww2jfvj2T3/r169GkSRNMmTIFwWCQOZeSkoLp06cjGAwatHt+x85qrpz3y9gPSk729MhS6ROh3UlHJRLA7IQ0cL6nTluebJw36exdY2k2I1mXZDUf9QoZ8zB9+/R6YPXDY030hNzPZnyxcCoUa6/MXuH3SagXmO+p88dzsbM3O1mdZ8UzNItwIU/72+lCoT+aDRdpoW7btm3Iysrinm/evDkAYOjQoVi1ahUuvPBCzwaplStXYvDgwcI0w4YNw8qVKx3nkZ6ejl69ejFCWCAQwHPPPYeRI0ca0keESREFBQW1zgTTG02dNr/YD55Mp+ix+kPW/DKR5huAQ02d4A3bC2lQ89venjpZTZ10lnFFVihlr9Fo6pJ0ALcLz8ulF+9NWnBO1kaiIflrWLfwuq3GA59U03PMxiq3IQ20JNT8MmElJweGBT/BA7HjyE82T79hy1GKjNpz5syZyM/Pd1crHZs3b0bXrl2FaXJzc7Fx40bu+d27d6Nhw4a28mjbti3atm3LTXvaaadx86qqqsIPP/yANm3aCMv0G3ZWQiLdoGWcOoGZlBddaSxX7PwSfNwJQu+XJsf4Whi5PJ2SrK7YHZmPJtMNeARvcUDUl3gi8CVpu9CinSwm+t37UYiJF8ms9SHzS/P26uWTiK2jFKstHMn/Tu1YcLkvi82fJ2/b0WAzIVGcVCqJsB3SIBFUVlYaTBz1hEIhVFRUuCrHizyAcH2vv/56lJSUoLi4mJvu0KFDOHToUPTv8vJy12XHGif7DIyaOnYSK5rcebFCxmhMXOfGUiEp1Lnp6LyZ4HpbrmlIA96eOg/s3JMRq7bpZKBjtXv265SM8PqMuJrs1J5mFzPIjI/FL+ao9N7M8VK4iGVfbGl+Gad6uCGW+5f1Qq9hjqg9x1h9eVwRnxDX4ON1gR9//BH9+/fHihUrsHDhQmHHcscddyAzMzP6f0FBQRxr6gwn+6P0ybRmEQqUmE/0tfl73SmamSFq8eLOEtWRe6Wpk83TKYlaqY7FnrraJPRG0C/i2L3GC/ww8U10HWth03OFHxej/FFL7zEPPu5d/ok0hWfmLwmrhZh4hv+Q7Sedml/6QTMqwpdC3Zo1a1BSUoK1a9c6zmPu3LkYP368Z3U6ePAgbrrpJgwdOhRnnnkm/vvf/6Jp06bCa6655hrs3r07+r8f9t/ZMb+MoFdm6T+2WA+esdxoLOv9MvF76uw/V9EV5o5SrPPxcp9DTf7+MrPTU9vN3ngaD5EmU/YxiAZ4PzzL2m5662d8o6lL5srFCXPzS59o6izNL2NXtlckSxW9EM6S5V6cYsv8ct++fdi5c6fpucjx8vJybpqGDRuiXr16NqtopLS0FBs2bHCVx9VXX+26HhE+/PBDnHvuuRg8eDBWrlzJBGAXkZqaynji9AN2TKYiE1m9h0hR3LhYfFCx1NT5ZU+d5+aXdkIaMEK7g4rAKni3szxjjZNJhWzAcj/BN8vV/Hact7fpEknCNXXM4ogPHlgcSWZNnZOF1tqG2W17+SySJaRBoheHeSSLKX0dbf4M0kJdMBjE1VdfbSkMTZ06lXsuLy9P6MyEh8xet4qKCoRC7rYIOsnjn//8J2677TY888wzwpAPtQUn+4T0+870IQ2Y/GPiSCN2+CX4uJPnKjS/NNPUSTjEiI2jFM3v5HjcAOyYX9ZubQ2vzxBr2eqg+WWCq1jbNcZ2oefhH0yDj/vgm5fBD20vnmOwKHsvtHN+eN4ipCWYt956C5s3b3ZVmFOvmPn5+SgrKxOm2bp1KwoLC7nnGzdujL179wo9YFrloWf58uW45ZZb8PnnnwvDPdQmbGnqqv/VCz6iuHGxmPTH0ibdak+dn7Ed0oBnfqk5biekgRbRY05U8HFrRykuNXW1pG3JaORiMZD6baBOdBUTXb4bYvGp+CZOXYL6v2Qi5pq6GPbFthylxKwW7nDiQM95WYLFQC/y9/k3JC3UDR06NJb1ENKlSxc888wzuPjii7lplixZgi5dugjzWLJkCSZMmGB6ft++fVixYgVKS0ul63XVVVdh/vz5dUagA5xNlCoM5pcCTZ2zaglJ5Hgc3VOXuCoAiIX5pXwZToOPy5KsXTC7l5OP1pQ1ieeOjuF6vBRMBLx+DH54rH7foF/biKVHPy/x2+JFLIj5njrPcrKPH/qFeApCsZkjJv8zlsUXjlImTpyIzZs3Y86cOfjjjz+YVZPy8nI88MADWLx4MWbMmMHN4+abb8all16KxYsXM2EEqqqqsH79ekybNg0nnXQSsrOzpepUVVWFVatWJVTYTQTMAGLxeUXek9H8UpOHwWmKq+qZwu6pS7R4lRicPFfRJWZ76rh7pzS/Y+/90vPsHeNIkNb8ri0tle9Ax/3L8vuqqpZE30k898X4jWTW1BHm/YBfNHVW+KHlxXMMFu6p86Bwv3/qvhDqgsEg3nvvPRw4cAADBw5Ebm4ucnJykJOTgz59+uD777/Hxx9/jPT0dADAsmXL0KZNGybuW48ePfDKK69gwYIF6NChQ/T6/Px8TJ48GaNGjcKdd97JrUOTJk2QlpYW/XvPnj3Yv38/ioqKonmZ/T9v3rzYPZgE4MRTpcH8UrSXRnfOi640kRO/ZOkfnDwD+3vqOGV7oKkTeQhLlIMH65AGcnXRPsvaOHnkO9Ax/232d10g0avFdfCRC4mnm3Y3+EWjGEvMXo9f+lKrccQPi9IK53dsytLNETXPhMwvfRJ8HAAyMzNx5513CgWvCIMGDcL69esNx3v06IH//Oc/jspftGiRoT4HDhxwlJef8dr80pB/TDR1Nb/j3SUm82TACtvml1yNTA0xCWmQoEdsZy+EMB/tNf5tLly4wj7z29mNy3u/rIUP1mP8/IhiEUdM+zySOZCx3yehXmAep84f5peWe7MTOH+RhTWrj/WeOmfnhHk6uywp8YWmjkhOZD8Evdt/oVDnoj7cPJNgtpLoBTZn5pciTZ18SAN2T539etghCV51FIVZYZW8plYNL2EUByvNnphmJlNj8Bn07LxZdIg3dfW9me+p845Ejt9+aXuxwrjfOnFCox8goY5wjNUAEukHRXvqDHkaVOtOaqbPU1unZF3rii1O+imh+aVpGdZmdrF2M51o4dkJjPmIdlXWh/dihoxZbl1dYU0mcyrWjJnQktSauiSuW7wwewTeaupi6P3S4rwfxoS4ml/qCmAsXTzZp+1vSKgjHCPb+PXml8EAv9nFxpGGfY2JZ2VH6xDfcvU4i1PHP2cnpIGWWJhf+gFpM0HfDylGeOZDoolAor+Xugg9c5Z4mpS5gYRxc5L4ldnCD7cRy29FL1CLcq8t79wNJNQRjrH6gCLzfluauhh/lEm60JWUiM0vzdJbE+vN6/Hs1L1aveXtqastWmUZDa7sNbWNZBIW6sozl0X7NPzidKOuYvYd1RrzSx+0vXhq6kR4UbYfnrcIEuoIx8hOAmw5SnFVo+Ql0WYTTp6r2FGKfEgDL+LUyT6/RD9nHvJ76mofrPmQ+YOIRWiTZDJtJPyHX7xK+nwO6glmj8DLyXlsHaWIz/th+0g822DMHbHENPfYQ0Id4RjHIQ2E3i91e+o87sTiPdFLllUfZ+aX3mjqYr3inSgNg1dNSZtNbdQIcEMaeGA2JmrXWgOB2vdUvYcNMUFPTEsyf5fspL9uYtZePd1TF8N5g9UcJ5HbR2Rhw3/EuiwWdk+6s8KT+PO2DQl1hGOchjQQ5umwLslKstyPI02d4JytkAaaE8Ha1Ht6BM9RSm1BRti3c85JOsIaepYs8ZyoEt5Dryx+sFrtxG2xIPNLEuoIF1g1/cgKlF5TZ+ZkI5on7alLGkSdm52QBqymzlldZDW2yWqeIot2QEzWVVm78NqRF94vRfi9LcQbv09mvIaNU5e8z4bemzlePpZEml8yaWNXDVcwe+pirqmTt/Sqi5BQRzjGMqQBx1GKPm4dk2ctW1+LPKJETzCdxanjYyekgRd76kQkLPi4rbT81HUp+DjvKRhiEXnwILSTpdr4XL0mWZwdOCEWCyB+8SqZzHVLJF7OJRI9fic7zAJdzMuKQZ616CsioY5wjOxnoBfiRJq6WK+I1hbth12cdFqid2EnpIFfVryTAUZTV0smErw4S96YyniQCUFYQP2W//Ayek5dnTfIEs+vQ6ipi2M9khUS6oiYURN8nN1Tl1jzS296Z78N8o40dYJr7DlK0eypczjS+t37pYjaH3ycZ36pTaO/xj215PHFjVibw/oNvyxGJXHVEopvvF/ayD1ZPfrGM6ajcE8dfQsk1BGxx2B+KRLqYl0Zj5B1+JEsan3vHaXIhzSI9eQoOZ6wN9Sme4nA1eCCPxHwupkky3dI+Id47hNyA7Vtc5JZEK9txNN0Oxb516aWQkIdYQs2OLKYesFw89JrZ0SdrT5tKOBtE/VqAEyvF5JKl1L9DFKDQcdlOdVusXnYf46pIX6dzd4Lr5YhpSat04HWThiMeGFnhVV2c7f2d+T78TtO3rnsdy/sS3wwqfPSRKwuEwv9hfZbJAHBf3j5bcXyO03xeI6TaLwej63mbNpv0+mz9GKOlSzUrtZExJyizIYY0qolxrUtQFqKuWDz8omDkN8oDYtPHQYAuG9EHxRmpAMAjsptjmv6d0Gvls1wZtfW0WvO71mKLllNMLG0EADwz7H9UZCRjsfH9vek3md3a4seOU0xsnWuJ/ktPnUY8hql4eUTB5mef2Dk0SjKTMd9I/oAAN6eMhz5jdLwykmDpcu4ZWAPlDRuhOv6d3Vcz8uO7oj2zTJxVtc2tq+9Z3gf5h60XNe/K4obN2SO6fvya47pgrZNMzDzqPbRY3Yn2uf3LEXXrCaYUFrATdOkfj2Map2HESW5yEqvbyt/N8hYwpzRpTWOym2O44qyuWnaNs3AwMJsTCwtZAaoFyaFv6OnJwzworoJg3WUYm5qGvl566AeKG7cELOPFbf583q2Q9esJhjfztguLu/bCaXNMnBFv84Y1ToPI+PcLuxwXGEOerdshjO6tLZOTMQVvziOIXkzzOROxeib1yL6txcLuDcM6IbWTRrh8r6dXefF45mJx6EgIx1PjjuWm2Zq5xL0yW2OYwqyYlYPN8SyDWrHjImlhdEF6quO6Yx2TTNwXs/S6PmpnUvQsXljzOrTQSrv6T3aoVt2E1zbvyv652fh5A6tPK17IlDUZDXSrYOUl5cjMzMTu3fvRkZGRqKrU6dQbn0y+ludfVbC6uE3rn1/Be5YvhIA0C+/BZafNcaQZvXvu9Dh4VcBAA+N6ovze7U3pPEj/Z5YjP9t2QGA2oyIKlVF8LaFAIBhxS3x7tSRAIBlv2zD4GfeBgC8O2UEhpV4s+BCOCfSD942qCeutRCsk4kzX/sIT638CYB33+Kb6zdj9L/eAwCsu3AS2jRNzjG5/NBhZN71HADg3hF9MKtPxwTXKLFE2vApHVvhhUmDElqXusJX2/5Ar3++DsD7byXl9oXRLTx1dZy1IxuQpo4gCMdoNUt8hxhkxlSX4TrQIcccSQu9D7Ejn2SC9tSZQ08lfvjlW6kLkFBHEIRjWKHOHO3x2iTU1ZaQA7FGK7zx7EJoYkq4ISZ76uCPxagkrlpCSeZ3VttgnQrRc08kJNQRBOEY7QZjfpw6TUgD6vDrNEyg9YTVgiCs8Yv3S8IcWiiKHyTIJQ8k1BEE4Rgp80tOeqJuQ+aXyQu9DpZk7reSt2aJJYlfWa3DL06F6gIk1BEE4RitJ2B+PDJt+trT5ZOLKXfQRIBIZhSJBatkgDVvpk4pQm0aa5IdWqBLHkioIwjCMUGZPXVa88taFA+Gpk/uoMGf8IpYCDPsYpTn2RMxhl5Z/GAX6OjJJxIS6giCcIx2NZS3MkqTIyICb/JNezKSC3ofOo9+Sfw8krdmiSWJX1mtg5518kBCHUEQjmH21PGEOs1hMomp27COUqy1vERioPfBksyLUdSlmkMao/jB9OX02BMKCXUEQThGLqSBP1yDE/GFmgKRzLCLDtRY/QaNNfGDjVNHzz2RkFBHEIRj5EIaaNLTQEtUQ7GNCL+QzAICTaLNSWbtam0miT+VOgEJdQRBOEYmpAEvvd8hT3P24e6pi3M9CMIKVWMsnMzdVjLXLZHQQlH8IE/GyQMJdQRBOEYupEHtNL8kkc4dNOlKXujdsCFLalO/VVegNxY/qL9IHkioIwjCMVJ76hhHKbGtD+EfWPPLhFWDICxJ5uZJ5pfmkCAeP8iUPnkgoY4gCMdo98jJhDSoTXHqCHf4JbgzUTfRauKTWUDQVo2sB2pI4ldW61AkFneJ+EBCHUEQjpELaaAR/GpRl09b6uxDj8wf+O0rjUW70u7/JAHBf9BCUfwgq4vkgYQ6giAcIxfSwDw9UffQCsI0EUhe6H34SFPH+V3XIaOQ+EGPOnkgoY4gCMcEGU2deRompAGNtEQ1bGwjgkhekrl90h4mc+i5xA8ypU8eSKgjCMIxMiENaqv3S8IdNPgTyYw2pAH1W/6D3lj8IKuL5IGEOoIgHCMV0qCWamRU2iFmG94zo1V1wg2x2N/KmAoncfPUVo16pBqS+Z3VNtgxnh58IiGhjiAIx8jtqaudmjpylOKO2irs1wZoYuajPXVJXLdEkszvjCBiBQl1BAGaVDpFu0eOG9KAiVNHT5oIQy2B8Ask5PoPGmsSAz32xEJCHUGAVjudIhPSQAs95roNa9Jmr+0Q8YNeBxvSgPw7+Q96ZYmBnntiIaGOIEAdkVPqckgD2lPnDnLFTviF2tRv1RXonSUGWqBLLCTUEQThGLmQBtaCH1E3IDGY8AvatkoTVf9Bryx+kHly8kBCHUGABgCnyIU00PymB01Uo0gsCBCJgV4HOULyOyRoJAZ66omFhDqCAA0ATqnLIQ0Id1BbIJIZMq/2N9S/JAZaoEssJNQRBKgjcopWUxeoY8HHaSXfHRTbiEhm6Pv2N7VprPET1JcnFhLqCAK0qucUuT115r/9Ds357MMPPh7nihBC/GYmHQutmh81dSSI1uCzJlxroOeeWEioIwj4bxKTLMjtqSNHKUQYJqQBtYakhd4MCUh+h/qX+EHTp+SBhDqCAE1inBKwramjJ02Eob2WBOEt1L3WQM8iMZAwnVhIqCMIkLDhlIDExLy2xqkj3EFeUYlkxo+KOtIu1kBjTWKgx55YSKgjCJCmwCnBQE0XwpuYa48HatGDVmkGZRs/7lMikp9YfIr0ffsbEuoSA302iYWEOoIgHGNXU0emGUQECkqfvJDm1J+aOqIGasFEXYSEOoIAmQw4hQlpIPEQa5WmLtEV8Dlkfkl4BTUfQg9p6hIDPfbEQkIdQYA0SE6xH9KAnjMRhtpC8kJvhszI/A51L0RdhIQ6ggANAE6pyyENaNJnH94zq03tgog/MdlTR7p4X0N9SmKgcTGxkFBHEKABwCkyIQ20kyPSztRttOM9a34Z75oQIuh90OTU79BYEz/I0il5IKGOIABMLC0EAJQ2y0hwTfxF4/r1TH9rCWk8ZDblpPEjx7fOAwA0a5Ca4Jr4E5oGJC+dmjdOdBVs0b8gy/M82zalscDPdMtukugq1BkyUlOiv+sFvRUrJrUvAgB0zaL3KUMo0RUgiGTgweP7om9ei6hwR8hR0qQRnpt4HH7ZvRdnd2trmiYUCOC9qSNwqLIKzdLqx7mGsePWQT3QrmkGRrfJT3RVfIkiYbpLxJcV54zDj7/vwqBWLRNdFVuc36sU9UNBHFeY7VmePVs2wwuTBqIos6FneRKx5+tzx2Hlb7swsiQv0VWpM2TWr4c3Jw9DSAkgNRT0NO9HxxyDwUU5UeGOEENCHUEAaFgvBef3ap/oaviSyZ1LLNMMLc6NQ03iS4OUEM7rVZroavgKXuwvspRKDnq2bIaeLZsluhq2CQUCOLdHO8/zPaVjsed5ErGle04zdM/xXxv2O8e3js3iZkZqPZqb2YDMLwmCIIi4Q3IcQRAEQXgHCXUEQRBE3GFCXSSuGgRRayCPnQRRtyGhjiAIgogLrPdLredUEusIgiAIwg0k1BEEQRBxQbuljuQ4gvAWcjhEEHUbEuoIgiCIhEJTUYJwD5lfEkTdhoQ6giAIIu6Q+SVBEARBeAcJdQRBEETcITmOIAiCILyDhDqCIAgiLmjNw7QyHcl3BEEQBOEOEuoIgiCIhEJCHUEQBEG4g4Q6giAIIi6w3i9JlCMIgiAIryChjiAIgog7jPklCXgEQRAE4QpfC3W7du3ClVdeiS5duqBly5bIyclBTk4OOnbsiAsuuADbt2+3zGPFihUYP348SkpKotfn5eWhT58+eOyxx1BZWWl63dq1a9G+fXusWbPG9Pz8+fMxfPhwV/dHEARRWyE5jiAIgiC8w7dCXWVlJYYOHYr09HQsW7YMW7duRVlZGcrKyvDpp5+iffv26N+/P/bv38/NY8WKFTj55JNx/vnn48cff4xev2nTJjz99NN44403cNVVVxmuW7VqFUaOHIldu3bhwIEDhvP33HMP7rrrLuzYscPTeyYIgvAzvDhaJN8RBEEQhDt8K9QtWrQIrVq1wpw5c9CsWTPGfCczMxOzZs3C6NGjsWDBAm4ec+bMwX333YfRo0cjNTU1ejwQCKC0tBTPPvssXnrpJUbjt2bNGowaNQoPP/ww2rdvb8jznnvuwbPPPot///vfHt0pQRBE7YONU5fAihBELUGl2OMEUafxrVC3cuVKDB48WJhm2LBhWLlypeM80tPT0atXL8bEMhAI4LnnnsPIkSNNrykpKcG7776Lpk2bWtwBQRBE3YUEOYIgCILwjlCiK+CUzZs3o2vXrsI0ubm52LhxI/f87t270bBhQ1t5tG3bFm3btuWmnzBhQjRvgiAIwhxGU0cGmARBEAThCt8KdZWVlQgGg8I0oVAIFRUVrsrxIg8ehw4dwqFDh6J/l5eXx6QcgiCIZIDMwwiCIAgiNvjW/LI2cMcddyAzMzP6f0FBQaKrRBAEETO0Mh2ZXxKEt9A3RRB1m1oj1K1ZswYlJSVYu3at4zzmzp2L8ePHe1grMddccw12794d/X/Tpk1xK5sgCCKR0PyTILyFNOEEUbfxrfmlntLSUmzYsMFVHldffbVHtZEjNTWV8bpJEARRV9B6LOaFOiAIgiAIQg7faupk9rpVVFQgFHInt3qRB0EQBAGoGlUCaeoIgiAIwjt8K9Tl5+ejrKxMmGbr1q0oLCzknm/cuDH27t3rKg+CIAjCHeT9kiAIgiDc4VuhrkuXLliyZIkwzZIlS9ClSxfHeezbtw8rVqxAaWmp43oSBEEQRrROHcj8kiAIgiDc4VuhbuLEidi8eTPmzJmDP/74gzHrKS8vxwMPPIDFixdjxowZ3DxuvvlmXHrppVi8eDETWqCqqgrr16/HtGnTcNJJJyE7Ozum90IQBFEXYLxfknaOIAiCIDzDt0JdMBjEe++9hwMHDmDgwIHIzc1FTk4OcnJy0KdPH3z//ff4+OOPkZ6eDgBYtmwZ2rRpw8SC69GjB1555RUsWLAAHTp0iF6fn5+PyZMnY9SoUbjzzju5dWjSpAnS0tJMzzVo0ADNmjXz9qYJgiB8jNY7H7lfJwiCIAjv8LUHkMzMTNx5551CwSvCoEGDsH79esPxHj164D//+Y+j8hctWsQ9l52dbWkeShAEQRAEQRAE4RbfauoIgiAI/0LmlwRBEAThHSTUEQRBEHGHzC8JwlvI3RBB1G1IqCMIgiDigtbLJcl0BEEQBOEdJNQRBEEQcUElVQJBEARBxAQS6giCIIi4o5D9JUEQBEF4Bgl1BEEQREIhDR5BEARBuIOEOoIgCCIuqOTKgSAIgiBiAgl1BEEQREIhS0yCIAiCcAcJdQRBEERCIfNLgiAIgnAHCXUEQRBE3CHlHEEQBEF4Bwl1BEEQREIhRR1BEARBuIOEOoIgCCKmPDL6GDRPS8WzE4+LHqsfCmJYcUv0y2+BVo0bJrB2BOFvZh7VAYUZ6Zjeo22iq0IQRAJRVJV2MyQL5eXlyMzMxO7du5GRkZHo6hAEQXiGqqqG2HSR4Ydi1hGEO8y+L4Ig/I8d2SAUpzoRBEEQdRizCSdNQgnCG+hbIgiCzC8JgiAIgiAIgiB8DAl1BEEQBEEQBEEQPoaEOoIgCIIgCIIgCB9DQh1BEARBEARBEISPIaGOIAiCIAiCIAjCx5BQRxAEQRAEQRAE4WNIqCMIgiAIgiAIgvAxJNQRBEEQBEEQBEH4GBLqCIIgCIIgCIIgfAwJdQRBEARBEARBED6GhDqCIAiCIAiCIAgfQ0IdQRAEQRAEQRCEjyGhjiAIgiAIgiAIwseQUEcQBEEQBEEQBOFjSKgjCIIgCIIgCILwMSTUEQRBEARBEARB+BgS6giCIAiCIAiCIHwMCXUEQRAEQRAEQRA+JpToChA1qKoKACgvL09wTQiCIAiCIAiCSCQRmSAiI4ggoS6J2LNnDwCgoKAgwTUhCIIgCIIgCCIZ2LNnDzIzM4VpFFVG9CPiQlVVFbZu3YpGjRpBUZREVwfl5eUoKCjApk2bkJGRkejqED6A2gxhF2ozhF2ozRB2oTZD2CVZ2oyqqtizZw9yc3MRCIh3zZGmLokIBALIz89PdDUMZGRkUCdI2ILaDGEXajOEXajNEHahNkPYJRnajJWGLgI5SiEIgiAIgiAIgvAxJNQRBEEQBEEQBEH4GBLqCC6pqamYM2cOUlNTE10VwidQmyHsQm2GsAu1GcIu1GYIu/ixzZCjFIIgCIIgCIIgCB9DmjqCIAiCIAiCIAgfQ0IdQRAEQRAEQRCEjyGhjiAIgiAIgiAIwseQUEcQBEEQBEEQBOFjSKgjouzatQtXXnklunTpgpYtWyInJwc5OTno2LEjLrjgAmzfvj3RVSRizDPPPIPu3bsz779ly5bo2LEj7r77blRUVDDplyxZgmHDhqFVq1bR9AUFBRgwYABeeeUVmPlhWrFiBcaPH4+SkpLoNXl5eejTpw8ee+wxVFZWxut2iRhRWVmJSZMm4aWXXmKOU3shgHA7OPbYY5GXlxd9p5G2MH78eKxatYpJv27dOkyZMgVt27aNps3NzUXPnj3xt7/9DYcOHTKUsW3bNpx33nno0KFDtD9r2bIlunbtiquvvhrl5eXxul3CA7Zv347p06ejuLiYaTPFxcWYOnUqNm3axKR3Mp85cOAA7rjjDvTo0QO5ubnRa9q1a4epU6fip59+itftEg7Zu3cvxowZg0cffZQ57mQc8WW/oxKEqqoVFRVqz5491RtvvFH9/fff1aqqqui5Xbt2qffee6/aunVrdd++fQmsJRFLli5dqnbq1Elds2aN4VxZWZk6btw49f77748eW7RokdqlSxf1o48+Ug8fPhw9fuTIEXXFihXqscceqz7wwANMPl9++aVaXFysLl68WD148GD0eGVlpbp69Wp1woQJ6l//+tcY3B0RT6699lq1Xr166hNPPBE9Ru2FUFVVXbt2rVpUVKT+73//Y8YZVQ2PQy+88ILatm3b6PvetGmTWlBQoD777LPM+FNVVaVu3LhRnT59unriiScy+ezZs0ctKSlRH3jgAbW8vJy55rffflNnz56tHnXUUWplZWUM75TwkhEjRqi33HKLeuDAAeb4kSNH1H/+85/M+3Q6n5kwYYJ6/vnnq5s3b2au2bt3r7pw4UK1oKBA3bJlSwzvknDD7t271WOPPVYtKipS77nnnuhxJ+OIX/sdEuoIVVVV9aWXXlInTZokTDNz5kz17rvvjlONiHhz5ZVXqg8//DD3/OrVq9U+ffpE/+7UqZP67bffctNv3rxZzc3NVSsqKqLHxowZo/7nP//hXrN37161sLBQLSsrs1l7Ill49dVX1e7du6szZsxghDpqL4Sqquptt92m3nbbbcI0Q4YMUVesWKGqqqpedNFFzGKSnsrKSrVbt27qV199FT121113qX/5y1+EZYwbN0595ZVXbNScSBS7du1SCwsLDYsAWvr376+uWrVKVVVn85kvvvhC7dWrl3DC/Y9//EO95JJLbNaeiAf79+9Xjz76aPWmm25S58yZwwh1TsYRv/Y7ZH5JAABWrlyJwYMHC9MMGzYMK1eujFONiHjTr18/DB8+nHu+oKAgauJy5MgR/P777+jatSs3fV5eHrKzs7Fly5boMat2lp6ejl69emHNmjUO7oBINOvWrcOsWbPw8ssvo0GDBtHj1F6ICL/88gtat24tTDNx4kQEAuHpiVUbCAQCGDJkCDM20XhWu/jtt9/QsmVLKIrCTZOfnx8dn5y8/5UrV2LQoEHRdidzDZE8qKqKv/zlL7jhhhsM55yMI37td0ioIwAAmzdvRsuWLYVpcnNzsXHjxjjViIg3EydORElJCff8999/jzZt2gAAysrK0KJFC8s89W1m9+7daNiwoa1rCH+wb98+nHjiibj//vsNk3ZqL0SEw4cPIzU1VZhm5syZ6N69OwBnYxONZ7WL4uJi7Ny5E1VVVdw0mzZtio5f1GbqHmlpaTjllFNMzzkZR/zahkioIwCEHRsEg0FhmlAoZHCUQdQNtmzZgvPOOw+XXHIJALn2AjhrM9TO/IeqqpgxYwbGjBmD8ePHG85TeyG07Nq1CzNnzkSPHj0YpxedOnXCjBkzsHXr1mhaJ2MTjWe1i1AohD59+uC6667Dn3/+yThUOnToEJ5++mn88ssvUaGO2gxhFy/aQzK0IRLqCILgoqoqnnzySXTv3h1nnXUWTjrppERXiUhCHnzwQWzbtg233HJLoqtC+IC5c+dixIgR+OSTT1BWVoaysjJs27YNn3zyCTp16oTjjz+eJs8Ew+zZs/HQQw+hadOmaN68OXJycpCdnY20tDRMnz4dL730ktB0kiDqAvQFEKasWbMGJSUlWLt2baKrQiSItWvXYsSIEViwYAHefvttzJo1S5j+oosuwkUXXWSrjLlz55pqdgj/8Mknn+Af//gHnn/+eYRCIenrqL3UXU499VSMGzcOaWlp0WOKoqBx48aYNWsW8vPz8eGHH5pe+8wzz6BHjx62ylu2bBnatGlDYQx8yo4dOzB+/Hg8+uij2Lt3L/744w+UlZVh+/btKC8vx9NPP425c+fi8OHDptc7mc/s3r0bbdq0wbJlyzy6CyJZcDKO+KXfkR+BiTpFaWkpNmzYkOhqEAmgsrISt912Gx577DHcfPPNOOOMM6RWQOfNm2e7rKuvvtpJFYkkoaysDFOmTMFzzz2H7OxsW9dSe6m7tG/fXni+c+fO+OmnnzBkyBDDuWnTpmHatGm2yhs0aBDWr19v6xoiefjXv/6FCRMm4OSTTzacS09Px8knn4zPPvsML730EqZOnWpI42Q+k5mZSW2mluJkHPFLv0NCHQFAzs63oqLC1ko84T/27t2LKVOmIBQK4bvvvkPjxo1N08nahTtpM9TO/EFFRQVOPfVUXHbZZejfv78wLbUXQovWM6oZaWlp2LdvHwBnYxONZ7WL1atXo2/fvsI0Xbp0wRdffIGpU6dSmyFs40V7SIY2RK2TABB2B1xWViZMs3XrVhQWFsapRkQiuPzyy5Gfn4958+YJ3Ufn5OTg999/t8xP32YaN26MvXv3Cj1RUTvzB5988glWrFiB1atXY+7cuYbzu3fvRr169fDyyy/j1VdfpfZCAAhrVg4ePChMc+DAAeTm5gKoGZuaN2/OTb9169aot0ztNSKo3fgHmUmwoijRCbWT95+fn4/vv//e1jWEP3Ayjvi136E9dQSA8CrXkiVLhGmWLFmCLl26xKlGRLxZt24d3nrrLfzjH/8QCnRAeJBt0aIFvvnmG26arVu3Yvv27cjLy4ses2pn+/btw4oVK1BaWmq7/kR8GThwIPbu3Yvt27dHnV1o/z/11FOxcOFCvPHGG9ReiCglJSVYt26dMM2PP/4Y9WRo1QaqqqqwdOlSZmyi8ax2UVJSglWrVgnTrFq1CsXFxQCcvf8uXbpg6dKlwrAJ1Gb8iZNxxLf9TszCmhO+oqKiQu3du7d6ww03qL///rtaVVUVPbd79271/vvvV1u3bq3u3bs3gbUkYskLL7ygnnXWWdLpX3vtNbVz587qRx99pB4+fDh6vKKiQv3666/VY489Vr3//vuZa7766iu1VatW6htvvKEePHgweryyslJdt26dOnHiRPUvf/mL+5shEs6ZZ56pLlq0KPo3tRdCVVV169atanFxsbp06VK1srKSOXf48GH18ccfV9u3bx9935s3b1YLCgrUZ555Rt23b180bVVVlbp582Z1+vTp6qRJk5h89u7dq5aUlKj333+/Wl5ezlzz+++/q9dff73au3dvQ/lEcrJjxw61qKhIfeutt9SKigrmXEVFhfrmm2+qeXl56tatW6PHnMxnTjjhBHXGjBnq5s2bmWv27dunPv3002pBQYG6ZcuWGN4p4QVz5sxR77nnnujfTsYRv/Y7iqpqAn4QdZrdu3fjtttuw3//+1/88ccf0VgwjRs3xsCBA3HTTTchJycnwbUkYsVDDz2EK664QmiikJKSgs8++yxqGvX+++/j9ttvx7p163Do0KFomqKiIlx22WWYNGmSQev39ddfY86cOfj++++xf/9+AEAgEEBeXh6mT5+Oc845RyqmGZHczJo1C+PGjcOwYcOix6i9EACwYsUKXHvttVi1ahWOHDkSPZ6amop+/frh9ttvj2rqAGD9+vW4/vrr8eWXX2LPnj0AwuZ22dnZOO2003DppZeifv36TBllZWWYM2cOPvjgA+zevRuqqkJRFDRr1gxjxozBddddh4yMjPjcMOGab7/9FldffTW+//57ps2EQiF06tQJt956K4466qjocSfzmYMHD+Kee+7BCy+8gO3bt0evadSoEY466ijccsstaN26dRzulnDD3XffjczMTJxzzjnRY07GET/2OyTUEQRBEARBEARB+BjaU0cQBEEQBEEQBOFjSKgjCIIgCIIgCILwMSTUEQRBEARBEARB+BgS6giCIAiCIAiCIHwMCXUEQRAEQRAEQRA+hoQ6giAIgiAIgiAIH0NCHUEQBEEQBEEQhI8hoY4gCIIgCIIgCMLHkFBHEARBEARBEAThY0ioIwiCIIhaSGVlJfbt25foagAA9u3bh8rKykRXgyAIotZCQh1BEAThG5577jkEAgEoimLr/7S0NPz0008AgB07dqBly5bIysrC9u3bE3xH3qKqKubNm4fu3bujYcOGaNeuXaKrBABo164d0tPT0b17d8ybNw+qqia6SgRBELWKUKIrQBAEQRCyDBkyBA8++CCqqqoM52644QZ07twZp5xyiuFcWloaCgoKAAA//vgjysrKAABr1qxBdnZ2bCsdR+644w5cd911GD16NM4++2z069cv0VUCALz22mv49NNP8eabb+Liiy9GeXk5rrnmmkRXiyAIotagqLRcRhAEQdQCWrVqhbFjx+LBBx8UptuzZw/Gjx+PyspKvPHGG8jIyIhTDWNLeXk5ioqKcMYZZ+Dee++FoiiJrpIBVVUxa9YsPPPMM/j111/RqFGjRFeJIAiiVkDmlwRBEESdolGjRli6dCk+/PDDWiPQAcDrr7+O8vJyXHnllUkp0AGAoii48sorsXv3brzxxhuJrg5BEEStgYQ6giAIgqgFbNq0CXl5ecjLy0t0VYTk5+ejZcuW2LhxY6KrQhAEUWsgoY4gCIKoc1x22WU466yzDMd37dqF7OxsfPrpp3jyySfRo0cPpKWlQVEUZGZmYsCAAXj77bcBAFu3bsXpp5+OnJwcBAIBBINBFBcX49RTTxUKLKqq4sUXX8SgQYNQWFgYdfwSCARQVFSEoUOH4tVXX7XtTGTLli3Iysrint+1axeysrKwfPly/Prrr5g5cybat2+Phg0bQlEUZGVloW/fvrj99ttx8OBBbj7//ve/0bt37+h12v/T09PRu3dvvPLKK8K6ZmVlYcuWLbbujyAIguBDjlIIgiCIOsfPP/+MXbt2GY7v2rULv/32G6677jp88803OO200zBlyhTUr18fZWVl+Pe//43Ro0fjtddewyWXXIIGDRrg9NNPj2rHfvrpJzzxxBNYunQpNmzYgIYNGxrKmDlzJubNm4dBgwZh2rRpUaGwqqoKZWVl+PTTT3HCCSfgiiuuwJ133il9T3v27EF6ejr3/K5du7Bjxw68+OKLeOSRR9C6dWuMGDECOTk5aNSoEf7880+sWbMGc+bMwYsvvogvvvgCKSkpTB7Lly/HSSedhBEjRuCGG25AWloac37Hjh145513cPLJJ+Pjjz/mOmpp1KgRysvLpe+NIAiCEENCHUEQBEHoWLVqFdauXYvmzZszx6+77jp07NgREyZMwMiRI/Haa68ZBJ+pU6eiX79+ePzxx3HJJZcw57799lvMnz8fN9xwA2688UbTvW+qquKmm27CrbfeinPOOQelpaXS9ZbZS7dgwQI8//zzmDhxoun5Sy65BP369cOCBQtw8cUXM+cWLlyIoqIi/Pe//0UwGDS9fvbs2SgsLMTzzz/PFeqSdc8fQRCEXyHzS4IgCILQMWPGDINAB4RDI0yePBlVVVW44oorDAIdAPTt2xcdOnTAd999Zzi3bNkyKIqCK664givYaM8vWbLE/c3omDFjBlegA4Cjjz4agwYNwvvvv284t3HjRrRt25Yr0AFASkoK7rnnHowYMcKL6hIEQRASkKaOIAiCIHS0bt2aey4S766kpISbJj8/33TP2IYNG5CTk2NqlqklPT0dOTk5+PnnnyVrLM8xxxxjmaa4uBhffvml4XizZs2wZs0ay+tPO+00R3UjCIIgnEFCHUEQBEHoEO1Ni+wjs0pjtmdv9+7dSE9Px+bNmy3r0KhRI+zYscO6sjYRadm0Ze/evdtwfODAgXj22Wfx0EMPYdiwYWjQoAFzvn79+mjWrBmZVxIEQcQZEuoIgiAIIo6sW7cuqu2z4rjjjotxbexx9tln46OPPsKFF17ITdOwYUOcddZZuOOOOyw1kgRBEIQ3kFBHEARBEHGkoKAA8+fPl0rbp0+fGNfGHsFgEE899RRuv/12rFu3Dvv27WPOHzp0CCtXrsTcuXNRr149/OMf/0hQTQmCIOoWJNQRBEEQRJzIyMhAvXr1MHbs2ERXxRX5+fnIz883PXfiiSfit99+w6JFi0ioIwiCiBPk/ZIgCIIg4kRJSQk2b96MyspKy7Tjxo3D3/72tzjUSp4FCxZIOUopLCzEtm3b4lAjgiAIAiChjiAIgiDixsCBA3H48GEsWLBAmO7LL7/EG2+8gdzc3DjVTI67774bt912m2W6NWvWoLCwMA41IgiCIAAyvyQIgiCIuNGjRw+cf/75uOiii7B48WL06tULzZs3RyAQgKqq2LNnD9asWYNXXnkF3bp1E8aT0xMKhXDkyJHYVR7A5MmTcdNNN2H//v3o1asXGjVqxJw/dOgQfvjhBzz99NOYM2cON5/Dhw8jFKIpCEEQhFdQj0oQBEHUCkpLS9GmTRuptMXFxaYhB5o0aYKsrCyhhiwvLw+5ublCz468/AFg3rx5GDBgAB566CE8/vjj2Lp1K1RVBRCOA5eXl4fLL78cF198sUFoEtGyZUt88MEH3PONGze2vLcIRUVFpnH4Zs+eDUVR8PTTT+P111/H4cOHmfOpqakoKirCzTffjMsvv5yb/2+//Ybhw4db1oMgCIKQQ1EjIwlBEARBEL5lwYIFuOyyy/DHH38Y4sclE/v370fz5s1x3333Yfr06YmuDkEQRK2A9tQRBEEQRC1gyJAhOHToEBYuXJjoqghZuHAhDh06hMGDBye6KgRBELUGMr8kCIIgiFpA27ZtMXXqVMycORNbt27FsGHD0LlzZzRt2jTRVcPOnTvxww8/4N1338Udd9yBadOmSZvKEgRBENaQ+SVBEARB1BIOHjyI2bNn45577kFVVRVatmyJrVu3JrpayM3NxbZt2xAIBHDZZZfh1ltvRf369RNdLYIgiFoDCXUEQRAEUcs4ePAg1q9fj4qKCnTv3j3R1cE333yDYDCItm3bkjBHEAQRA0ioIwiCIAiCIAiC8DHkKIUgCIIgCIIgCMLHkFBHEARBEARBEAThY0ioIwiCIAiCIAiC8DEk1BEEQRAEQRAEQfgYEuoIgiAIgiAIgiB8DAl1BEEQBEEQBEEQPoaEOoIgCIIgCIIgCB9DQh1BEARBEARBEISP+X8HzAU4oJbdcgAAAABJRU5ErkJggg==",
      "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": "ba2c7f81",
   "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": "f94c25b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-18T14:51:31.432149Z",
     "iopub.status.busy": "2024-09-18T14:51:31.431966Z",
     "iopub.status.idle": "2024-09-18T14:51:38.829113Z",
     "shell.execute_reply": "2024-09-18T14:51:38.828393Z"
    }
   },
   "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_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_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_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_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_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer3:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\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_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer4:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\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_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster0_module4_sequencer5:\n",
      "\tparameter                       value\n",
      "--------------------------------------------------------------------------------\n",
      "connect_acq_I                    :\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_freq_cal_type_default        :\toff (Hz)\n",
      "nco_phase_offs                   :\t0 (Degrees)\n",
      "nco_prop_delay_comp              :\t0 (ns)\n",
      "nco_prop_delay_comp_en           :\tFalse (ns)\n",
      "offset_awg_path0                 :\t0 \n",
      "offset_awg_path1                 :\t0 \n",
      "sync_en                          :\tFalse \n",
      "thresholded_acq_marker_address   :\t1 \n",
      "thresholded_acq_marker_en        :\tFalse \n",
      "thresholded_acq_marker_invert    :\tFalse \n",
      "thresholded_acq_rotation         :\t0 (Degrees)\n",
      "thresholded_acq_threshold        :\t0 \n",
      "thresholded_acq_trigger_address  :\t1 \n",
      "thresholded_acq_trigger_en       :\tFalse \n",
      "thresholded_acq_trigger_invert   :\tFalse \n",
      "trigger10_count_threshold        :\t1 \n",
      "trigger10_threshold_invert       :\tFalse \n",
      "trigger11_count_threshold        :\t1 \n",
      "trigger11_threshold_invert       :\tFalse \n",
      "trigger12_count_threshold        :\t1 \n",
      "trigger12_threshold_invert       :\tFalse \n",
      "trigger13_count_threshold        :\t1 \n",
      "trigger13_threshold_invert       :\tFalse \n",
      "trigger14_count_threshold        :\t1 \n",
      "trigger14_threshold_invert       :\tFalse \n",
      "trigger15_count_threshold        :\t1 \n",
      "trigger15_threshold_invert       :\tFalse \n",
      "trigger1_count_threshold         :\t1 \n",
      "trigger1_threshold_invert        :\tFalse \n",
      "trigger2_count_threshold         :\t1 \n",
      "trigger2_threshold_invert        :\tFalse \n",
      "trigger3_count_threshold         :\t1 \n",
      "trigger3_threshold_invert        :\tFalse \n",
      "trigger4_count_threshold         :\t1 \n",
      "trigger4_threshold_invert        :\tFalse \n",
      "trigger5_count_threshold         :\t1 \n",
      "trigger5_threshold_invert        :\tFalse \n",
      "trigger6_count_threshold         :\t1 \n",
      "trigger6_threshold_invert        :\tFalse \n",
      "trigger7_count_threshold         :\t1 \n",
      "trigger7_threshold_invert        :\tFalse \n",
      "trigger8_count_threshold         :\t1 \n",
      "trigger8_threshold_invert        :\tFalse \n",
      "trigger9_count_threshold         :\t1 \n",
      "trigger9_threshold_invert        :\tFalse \n",
      "ttl_acq_auto_bin_incr_en         :\tFalse \n",
      "ttl_acq_input_select             :\t0 \n",
      "ttl_acq_threshold                :\t0 \n",
      "upsample_rate_awg_path0          :\t0 \n",
      "upsample_rate_awg_path1          :\t0 \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, Flags: NONE, Slot flags: NONE\n"
     ]
    }
   ],
   "source": [
    "# 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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