From 00ac0f1fbc7dd824d8dd9314d95c22f60bf517d2 Mon Sep 17 00:00:00 2001 From: weiglszonja Date: Sun, 9 Jun 2024 18:48:04 +0200 Subject: [PATCH 1/3] add notebook --- 001038/DombeckLab/001038_demo.ipynb | 3099 +++++++++++++++++++++++++++ 001038/DombeckLab/README.md | 22 + 001038/DombeckLab/environment.yml | 13 + 3 files changed, 3134 insertions(+) create mode 100644 001038/DombeckLab/001038_demo.ipynb create mode 100644 001038/DombeckLab/README.md create mode 100644 001038/DombeckLab/environment.yml diff --git a/001038/DombeckLab/001038_demo.ipynb b/001038/DombeckLab/001038_demo.ipynb new file mode 100644 index 0000000..911cb5c --- /dev/null +++ b/001038/DombeckLab/001038_demo.ipynb @@ -0,0 +1,3099 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "40fecb66-e378-4345-a40a-d222cf43b536", + "metadata": { + "collapsed": true, + "jupyter": { + "outputs_hidden": true + } + }, + "source": [ + "# Azcorra 2023 demo\n", + "\n", + "This tutorial demonstrates how to access an NWB file from the [DANDI:001038](https://dandiarchive.org/dandiset/001038/draft) dandiset using `pynwb` and `dandi`.\n", + "\n", + "This session contains fiber photometry recordings from head-fixed mice running on a treadmill while receiving rewards and aversive air puffs in order to analyze differences or similarities in functional responses of different subtypes of striatonigral dopamine neurons.\n", + "\n", + "Contents:\n", + "\n", + "- [Streaming an NWB file](#stream-nwb)\n", + "- [Access Subject Metadata](#access-subject-metadata)\n", + "- [Access raw fiber photometry data](#access-fiber-photometry)\n", + "- [Access processed fiber photometry data](#access-processed-fiber-photometry)\n", + "- [Access behavior](#access-behavior)\n", + "- [View NWB file](#view-nwb)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "04a836bb-be84-4c11-9ef0-e83d6b2d9e38", + "metadata": {}, + "source": [ + "# Streaming an NWB file \n", + "\n", + "This section demonstrates how to access the files on the [DANDI Archive](https://dandiarchive.org) without downloading them. Based on the [Streaming NWB files](https://pynwb.readthedocs.io/en/stable/tutorials/advanced_io/streaming.html) tutorial from [PyNWB](https://pynwb.readthedocs.io/en/stable/#).\n", + "\n", + "An [NWBFile](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.NWBFile) represents a single session of an experiment. Each NWBFile must have a `session description`, `identifier`, and `session start time`.\n", + "\n", + "The `dandi.dandiapi.DandiAPIClient` can be used to get the S3 URL of the NWB file stored in the DANDI Archive." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "e83eb9d5-98ec-4e26-8b92-c900b8be2a5d", + "metadata": {}, + "outputs": [], + "source": [ + "from dandi.dandiapi import DandiAPIClient\n", + "\n", + "client = DandiAPIClient.for_dandi_instance(\"dandi\")\n", + "\n", + "dandiset_id = \"001038\"\n", + "file_path = \"sub-VGlut-A997/sub-VGlut-A997_ses-20200205-0001.nwb\"\n", + "\n", + "with DandiAPIClient() as client:\n", + " asset = client.get_dandiset(dandiset_id, 'draft').get_asset_by_path(file_path)\n", + " s3_url = asset.get_content_url(follow_redirects=1, strip_query=True)" + ] + }, + { + "cell_type": "markdown", + "id": "0576a5df-4923-4bbf-bf35-318177c5dcca", + "metadata": {}, + "source": [ + "We will use `remfile` for streaming the file. You can read more about `remfile` at [this tutorial section](https://pynwb.readthedocs.io/en/stable/tutorials/advanced_io/streaming.html#method-3-remfile)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8f5333b6-a6d3-4440-a14b-cd2ffbe4c2cb", + "metadata": {}, + "outputs": [], + "source": [ + "import h5py\n", + "from pynwb import NWBHDF5IO\n", + "import remfile\n", + "\n", + "# We stream the file using remfile and open it with h5py and pynwb\n", + "file = remfile.File(s3_url)\n", + "h5_file = h5py.File(file, \"r\")\n", + "\n", + "io = NWBHDF5IO(file=h5_file, load_namespaces=True)\n", + "nwbfile = io.read()\n", + "nwbfile" + ] + }, + { + "cell_type": "markdown", + "id": "f98a4031-f4a3-41a8-b959-c3b8ee0d15ab", + "metadata": {}, + "source": [ + "# Access Subject Metadata \n", + "\n", + "This section demonstrates how to access the [Subject](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.Subject) field in an NWB file.\n", + "\n", + "The [Subject](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.Subject) field can be accessed as `nwbfile.subject`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "04afe225-06d3-4640-a4c9-9b8994be8a74", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

subject (Subject)

age: P8W/P16W
age__reference: birth
genotype: Vglut2-IRES-Cre/Th-Flpo (RRID, IMSR_JAX:016963)
sex: F
species: Mus musculus
subject_id: VGlut-A997
strain: C57BL6
" + ], + "text/plain": [ + "subject pynwb.file.Subject at 0x13768945808\n", + "Fields:\n", + " age: P8W/P16W\n", + " age__reference: birth\n", + " genotype: Vglut2-IRES-Cre/Th-Flpo (RRID, IMSR_JAX:016963)\n", + " sex: F\n", + " species: Mus musculus\n", + " strain: C57BL6\n", + " subject_id: VGlut-A997" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nwbfile.subject" + ] + }, + { + "cell_type": "markdown", + "id": "7ab95534-9673-4034-9c45-4f07fb787dc1", + "metadata": {}, + "source": [ + "# Access fiber photometry data \n", + "\n", + "This section demonstrates how to access the fiber photometry data in the NWBfile.\n", + "\n", + "`NWB` organizes data into different groups depending on the type of data. Groups can be thought of as folders within the file. Here are some of the groups within an NWBFile and the types of data they are intended to store:\n", + "\n", + "- `acquisition`: raw, acquired data that should never change\n", + "- `processing`: processed data, typically the results of preprocessing algorithms and could change\n", + "\n", + "## Picoscope signals\n", + "\n", + "The raw fluorescence traces and the raw velocity from the rotary encoder are stored in a [pynwb.base.TimeSeries](https://pynwb.readthedocs.io/en/stable/pynwb.base.html#pynwb.base.TimeSeries) object which is added to `nwbfile.acquisition`. The traces collected at 4000 Hz from the Picoscope can be accessed as `nwbfile.acquisition[\"Fluorescence\"]` for fluorescence from the optical fiber(s) and `nwbfile.acquisition[\"Velocity\"]` for velocity.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "0098f9ca-c480-4f83-bc09-29017454f8ed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

Fluorescence (TimeSeries)

starting_time: 0.0
rate: 4000.2000543686745
resolution: -1.0
comments: no comments
description: The fluorescence traces from one or two optical fibers during 405 nm and 470 nm illumination collected at 4000 Hz by Picoscope.
conversion: 1.0
offset: 0.0
unit: Volts
data
starting_time_unit: seconds
" + ], + "text/plain": [ + "Fluorescence pynwb.base.TimeSeries at 0x13808870800\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: The fluorescence traces from one or two optical fibers during 405 nm and 470 nm illumination collected at 4000 Hz by Picoscope.\n", + " offset: 0.0\n", + " rate: 4000.2000543686745\n", + " resolution: -1.0\n", + " starting_time: 0.0\n", + " starting_time_unit: seconds\n", + " unit: Volts" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fluorescence_picoscope = nwbfile.acquisition[\"Fluorescence\"]\n", + "fluorescence_picoscope" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "62e5f94a-267b-45ea-a0c1-d7d2107a88b2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

Velocity (TimeSeries)

starting_time: 0.0
rate: 4000.2000543686745
resolution: -1.0
comments: no comments
description: Velocity from rotary encoder collected at 4000 Hz by Picoscope.
conversion: 1.0
offset: 0.0
unit: Volts
data
starting_time_unit: seconds
" + ], + "text/plain": [ + "Velocity pynwb.base.TimeSeries at 0x13769026512\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: Velocity from rotary encoder collected at 4000 Hz by Picoscope.\n", + " offset: 0.0\n", + " rate: 4000.2000543686745\n", + " resolution: -1.0\n", + " starting_time: 0.0\n", + " starting_time_unit: seconds\n", + " unit: Volts" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "velocity_picoscope = nwbfile.acquisition[\"Velocity\"]\n", + "velocity_picoscope" + ] + }, + { + "cell_type": "markdown", + "id": "0808c10f-8a12-410d-a608-a234fbaf1a35", + "metadata": {}, + "source": [ + "## Picoscope binary signals\n", + "\n", + "The onset times of binary signals from the PicoScope are stored in an `EventsTable` object using [`ndx-events`](https://github.com/rly/ndx-events) and can be accessed as `nwbfile.acquisition[\"PicoScopeEvents\"]`. The id of events and the description of the events can be accessed as `nwbfile.acquisition[\"PicoScopeEventTypes\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "de53462e-d8b7-4606-a81b-2bb07613f9e6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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timestampevent_typeevent_nameevent_type_description
00.0080000Light stimulus triggerThe onset times of the Light stimulus trigger ...
10.0080003Airpuff delivery triggerThe onset times of the Airpuff delivery trigge...
20.0090003Airpuff delivery triggerThe onset times of the Airpuff delivery trigge...
30.0095003Airpuff delivery triggerThe onset times of the Airpuff delivery trigge...
40.0132493Airpuff delivery triggerThe onset times of the Airpuff delivery trigge...
\n", + "
" + ], + "text/plain": [ + " timestamp event_type event_name \\\n", + "0 0.008000 0 Light stimulus trigger \n", + "1 0.008000 3 Airpuff delivery trigger \n", + "2 0.009000 3 Airpuff delivery trigger \n", + "3 0.009500 3 Airpuff delivery trigger \n", + "4 0.013249 3 Airpuff delivery trigger \n", + "\n", + " event_type_description \n", + "0 The onset times of the Light stimulus trigger ... \n", + "1 The onset times of the Airpuff delivery trigge... \n", + "2 The onset times of the Airpuff delivery trigge... \n", + "3 The onset times of the Airpuff delivery trigge... \n", + "4 The onset times of the Airpuff delivery trigge... " + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "events = pd.merge(\n", + " left=nwbfile.acquisition[\"PicoScopeEvents\"][:],\n", + " right=nwbfile.acquisition[\"PicoScopeEventTypes\"][:],\n", + " left_on=\"event_type\",\n", + " right_on=\"id\",\n", + ")\n", + "events.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "bd671e72-8b03-4b64-bad0-fb88725953c3", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# Prepare data for plotting\n", + "data = fluorescence_picoscope.data[10000:10500, 0]\n", + "timestamps = fluorescence_picoscope.get_timestamps()[10000:10500]\n", + "\n", + "velocity_data = velocity_picoscope.data[10000:10500]\n", + "\n", + "# Add events during selected time\n", + "airpuff_events = events[events[\"event_type\"] == 3]\n", + "event_times = airpuff_events[(airpuff_events[\"timestamp\"] > 2.5 ) & (airpuff_events[\"timestamp\"] <= 2.62)][\"timestamp\"]\n", + "\n", + "fig, ax = plt.subplots(nrows=2, ncols=1,figsize=(8, 3), dpi=300, sharex=True)\n", + "\n", + "ax[0].plot(timestamps, data, color=\"green\", linewidth=0.8)\n", + "[ax[0].axvline(time, color='lightblue', linewidth=0.5) for time in event_times]\n", + "\n", + "ax[1].plot(timestamps, velocity_data, color=\"black\", linewidth=0.5)\n", + "\n", + "ax[0].spines['top'].set_visible(False)\n", + "ax[0].spines['right'].set_visible(False)\n", + "ax[0].spines['bottom'].set_visible(False)\n", + "ax[1].spines['top'].set_visible(False)\n", + "ax[1].spines['right'].set_visible(False)\n", + "\n", + "ax[0].legend([\"Fiber 1\", \"Airpuff delivery trigger\"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 8})\n", + "ax[1].legend([\"Velocity\"], frameon=False, bbox_to_anchor=(.96, 1), loc='upper left', prop={'size': 8})\n", + "ax[1].tick_params(axis='y', labelsize=8)\n", + "ax[0].tick_params(axis='y', labelsize=8)\n", + "\n", + "plt.xlabel('Time (s)', fontsize=8)\n", + "plt.tick_params(axis='x', labelsize=8)\n", + "\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "8f34ad50-8f84-47b7-87a4-33d18066bb94", + "metadata": {}, + "source": [ + "## Picoscope TTL signals\n", + "\n", + "The 405 nm and 470 nm illumination onset times are stored in a `TtlsTable` object using [`ndx-events`](https://github.com/rly/ndx-events) and can be accessed as `nwbfile.acquisition[\"TtlsTable\"]`. The id of events and the description of the TTL event can be accessed as `nwbfile.acquisition[\"TtlTypesTable\"]`.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "2f0f1326-ad10-4e98-ac1f-a64b72986237", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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timestampttl_typeevent_nameevent_type_descriptionpulse_valueduration
00.0010001Ch470The times when the 470 nm LED was on.10.005
10.0060000Ch405The times when the 405 nm LED was on.00.005
20.0109991Ch470The times when the 470 nm LED was on.10.005
30.0159990Ch405The times when the 405 nm LED was on.00.005
40.0209991Ch470The times when the 470 nm LED was on.10.005
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" + ], + "text/plain": [ + " timestamp ttl_type event_name event_type_description \\\n", + "0 0.001000 1 Ch470 The times when the 470 nm LED was on. \n", + "1 0.006000 0 Ch405 The times when the 405 nm LED was on. \n", + "2 0.010999 1 Ch470 The times when the 470 nm LED was on. \n", + "3 0.015999 0 Ch405 The times when the 405 nm LED was on. \n", + "4 0.020999 1 Ch470 The times when the 470 nm LED was on. \n", + "\n", + " pulse_value duration \n", + "0 1 0.005 \n", + "1 0 0.005 \n", + "2 1 0.005 \n", + "3 0 0.005 \n", + "4 1 0.005 " + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "ttl_times = pd.merge(\n", + " left=nwbfile.acquisition[\"TtlsTable\"][:],\n", + " right=nwbfile.acquisition[\"TtlTypesTable\"][:],\n", + " left_on=\"ttl_type\",\n", + " right_on=\"id\",\n", + ")\n", + "ttl_times.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "3b94ec67-2b2b-4100-b67b-0685f54a7ae4", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# Prepare data for plotting\n", + "data = fluorescence_picoscope.data[10000:10500, 0]\n", + "timestamps = fluorescence_picoscope.get_timestamps()[10000:10500]\n", + "\n", + "fig, ax = plt.subplots(figsize=(6, 2), dpi=300)\n", + "line_handle, = ax.plot(timestamps, data, color=\"green\", linewidth=0.9, label=\"Fiber 1\")\n", + "\n", + "ttl_0 = ttl_times[ttl_times[\"ttl_type\"] == 0]\n", + "violet_illumination_times = ttl_0[(ttl_0[\"timestamp\"] > 2.5) & (ttl_0[\"timestamp\"] <= 2.62)]\n", + "violet_handles = []\n", + "for illumination_onset in violet_illumination_times[\"timestamp\"]:\n", + " fill_end = illumination_onset + 0.005\n", + " violet_handle = ax.fill_between(timestamps, max(data), where=(timestamps >= illumination_onset) & (timestamps <= fill_end), \n", + " color='purple', edgecolor='none', alpha=0.1, label=\"405 nm LED on\")\n", + " violet_handles.append(violet_handle)\n", + "\n", + "ttl_1 = ttl_times[ttl_times[\"ttl_type\"] == 1]\n", + "blue_illumination_times = ttl_1[(ttl_1[\"timestamp\"] > 2.5) & (ttl_1[\"timestamp\"] <= 2.62)]\n", + "blue_handles = []\n", + "for illumination_onset in blue_illumination_times[\"timestamp\"]:\n", + " fill_end = illumination_onset + 0.005\n", + " blue_handle = ax.fill_between(timestamps, max(data), where=(timestamps >= illumination_onset) & (timestamps <= fill_end), \n", + " color='blue', edgecolor='none', alpha=0.1, label=\"470 nm LED on\")\n", + " blue_handles.append(blue_handle)\n", + "\n", + "# Hide top and right spines\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "\n", + "# Create the legend with the appropriate handles\n", + "handles = [line_handle, violet_handles[0], blue_handles[0]]\n", + "labels = [\"Fiber 1\", \"405 nm LED on\", \"470 nm LED on\"]\n", + "ax.legend(handles, labels, frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 8})\n", + "\n", + "ax.tick_params(axis='y', labelsize=8)\n", + "plt.xlabel('Time (s)', fontsize=8)\n", + "plt.tick_params(axis='x', labelsize=8)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "2a6f8f51-3ab8-43d0-9677-d3762cabd5a6", + "metadata": {}, + "source": [ + "## Fiber photometry traces\n", + "\n", + "The fluorescence signals from the Picoscope were separated due to 405 vs 470 nm illumination (405 nm is GCaMP's isosbestic point and thus serves as a movement control) and were re-binned from 4000 Hz to 100 Hz.\n", + "\n", + "The fluorescence traces are added to `nwbfile.acquisition` and are stored in a `FiberPhotometryResponseSeries` object using [`ndx-fiber-photometry`](https://github.com/catalystneuro/ndx-fiber-photometry). \n", + "The fluorescence data during 470 nm excitation can be accessed as `nwbfile.acquisition[\"FiberPhotometryResponseSeries\"]`. The control signal can be accessed as `nwbfile.acquisition[\"FiberPhotometryResponseSeriesIsosbestic\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "a255db0e-d4f6-44f8-aed8-e16e9844df64", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

FiberPhotometryResponseSeries

starting_time: 0.0
rate: 100.0
resolution: -1.0
comments: no comments
description: Raw green fluorescence collected during 470 nm illumination re-binned to 100 Hz and acquired with one or two optical fibers.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorfiber_depth_in_mmbaseline_fluorescencenormalized_fluorescencerecording_target_typesignal_to_noise_ratiocross_correlation_with_accelerationcoordinatesemission_filterexcitation_filter
id
0SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n
1TSGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n
2SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n
3TSGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n
" + ], + "text/plain": [ + "FiberPhotometryResponseSeries abc.FiberPhotometryResponseSeries at 0x13790513040\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: Raw green fluorescence collected during 470 nm illumination re-binned to 100 Hz and acquired with one or two optical fibers.\n", + " fiber_photometry_table_region: fiber_photometry_table_region \n", + " offset: 0.0\n", + " rate: 100.0\n", + " resolution: -1.0\n", + " starting_time: 0.0\n", + " starting_time_unit: seconds\n", + " unit: n.a." + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_response_series = nwbfile.acquisition[\"FiberPhotometryResponseSeries\"]\n", + "fiber_photometry_response_series" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "a1699886-33dc-4036-88c9-3ac337c32be9", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# Prepare data for plotting\n", + "data = fiber_photometry_response_series.data[1000:1500, 0]\n", + "timestamps = fiber_photometry_response_series.get_timestamps()[1000:1500]\n", + "\n", + "control_signal = nwbfile.acquisition[\"FiberPhotometryResponseSeriesIsosbestic\"]\n", + "control_data = control_signal.data[1000:1500, 0]\n", + "\n", + "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=(8, 3), dpi=300, sharex=True)\n", + "\n", + "# Plot data\n", + "ax[0].plot(timestamps, data, color=\"green\", linewidth=0.8, label='Data')\n", + "\n", + "# Plot control data with offset\n", + "ax[1].plot(timestamps, control_data, color=\"grey\", linewidth=0.5, label='Control Data (shifted)')\n", + "\n", + "ax[0].spines['top'].set_visible(False)\n", + "ax[0].spines['right'].set_visible(False)\n", + "ax[0].spines['bottom'].set_visible(False)\n", + "ax[1].spines['top'].set_visible(False)\n", + "ax[1].spines['right'].set_visible(False)\n", + "\n", + "ax[0].legend([\"Raw fluorescence Fiber 1\"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 8})\n", + "ax[1].legend([\"Isosbestic control\"], frameon=False, bbox_to_anchor=(.96, 1), loc='upper left', prop={'size': 8})\n", + "ax[1].tick_params(axis='y', labelsize=8)\n", + "ax[0].tick_params(axis='y', labelsize=8)\n", + "\n", + "\n", + "plt.xlabel('Time (s)', fontsize=8)\n", + "plt.tick_params(axis='x', labelsize=8)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "d2c9a4c0-4931-4080-8484-39ad18847329", + "metadata": {}, + "source": [ + "## Fiber photometry metadata\n", + "\n", + "The fiber photometry metadata includes the type of indicator(s), optical fiber(s), excitation source(s), photodector(s), dichroic mirror(s), and optical filter(s) that were used to construct a single fluorescence signal.\n", + "\n", + "The metadata is stored in a `FiberPhotometryTable` object using [`ndx-fiber-photometry`](https://github.com/catalystneuro/ndx-fiber-photometry) and is added to `nwbfile.lab_meta_data`. It can be accessed as `nwbfile.lab_meta_data[\"FiberPhotometry\"].fiber_photometry_table`." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "e3d6f7f9-be99-47bc-be92-731e38843c2c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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id
0SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields...Fiber1 abc.OpticalFiber at 0x13821382928\\nFiel...ExcitationSource470 abc.ExcitationSource at 0x...PhotodetectorPMT abc.Photodetector at 0x137094...DichroicMirror abc.DichroicMirror at 0x1382159...3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x1380...OpticalFilter470 abc.BandOpticalFilter at 0x13...
1TSGCaMP6f abc.Indicator at 0x13817080272\\nFields...Fiber2 abc.OpticalFiber at 0x13790782352\\nFiel...ExcitationSource470 abc.ExcitationSource at 0x...PhotodetectorPMT abc.Photodetector at 0x137094...DichroicMirror abc.DichroicMirror at 0x1382159...1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x1380...OpticalFilter470 abc.BandOpticalFilter at 0x13...
2SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields...Fiber1 abc.OpticalFiber at 0x13821382928\\nFiel...ExcitationSource405 abc.ExcitationSource at 0x...PhotodetectorPMT abc.Photodetector at 0x137094...DichroicMirror abc.DichroicMirror at 0x1382159...3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x1380...OpticalFilter405 abc.BandOpticalFilter at 0x13...
3TSGCaMP6f abc.Indicator at 0x13817080272\\nFields...Fiber2 abc.OpticalFiber at 0x13790782352\\nFiel...ExcitationSource405 abc.ExcitationSource at 0x...PhotodetectorPMT abc.Photodetector at 0x137094...DichroicMirror abc.DichroicMirror at 0x1382159...1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x1380...OpticalFilter405 abc.BandOpticalFilter at 0x13...
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorfiber_depth_in_mmbaseline_fluorescencenormalized_fluorescencerecording_target_typesignal_to_noise_ratiocross_correlation_with_accelerationcoordinatesemission_filterexcitation_filter
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0SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields...Fiber1 abc.OpticalFiber at 0x13821382928\\nFiel...ExcitationSource470 abc.ExcitationSource at 0x...PhotodetectorPMT abc.Photodetector at 0x137094...DichroicMirror abc.DichroicMirror at 0x1382159...3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x1380...OpticalFilter470 abc.BandOpticalFilter at 0x13...
1TSGCaMP6f abc.Indicator at 0x13817080272\\nFields...Fiber2 abc.OpticalFiber at 0x13790782352\\nFiel...ExcitationSource470 abc.ExcitationSource at 0x...PhotodetectorPMT abc.Photodetector at 0x137094...DichroicMirror abc.DichroicMirror at 0x1382159...1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x1380...OpticalFilter470 abc.BandOpticalFilter at 0x13...
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" + ], + "text/plain": [ + " location indicator \\\n", + "id \n", + "0 SNc GCaMP6f abc.Indicator at 0x13817080272\\nFields... \n", + "1 TS GCaMP6f abc.Indicator at 0x13817080272\\nFields... \n", + "\n", + " optical_fiber \\\n", + "id \n", + "0 Fiber1 abc.OpticalFiber at 0x13821382928\\nFiel... \n", + "1 Fiber2 abc.OpticalFiber at 0x13790782352\\nFiel... \n", + "\n", + " excitation_source \\\n", + "id \n", + "0 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "1 ExcitationSource470 abc.ExcitationSource at 0x... \n", + "\n", + " photodetector \\\n", + "id \n", + "0 PhotodetectorPMT abc.Photodetector at 0x137094... \n", + "1 PhotodetectorPMT abc.Photodetector at 0x137094... \n", + "\n", + " dichroic_mirror fiber_depth_in_mm \\\n", + "id \n", + "0 DichroicMirror abc.DichroicMirror at 0x1382159... 3.6 \n", + "1 DichroicMirror abc.DichroicMirror at 0x1382159... 1.0 \n", + "\n", + " baseline_fluorescence normalized_fluorescence recording_target_type \\\n", + "id \n", + "0 1.041767 0.686421 cell bodies in SNc \n", + "1 1.050157 0.053596 axons in striatum \n", + "\n", + " signal_to_noise_ratio cross_correlation_with_acceleration \\\n", + "id \n", + "0 18.898114 0.067393 \n", + "1 0.000000 0.014802 \n", + "\n", + " coordinates \\\n", + "id \n", + "0 [nan, nan, nan] \n", + "1 [3.0748749730962577, -0.58, 2.1599445426572172] \n", + "\n", + " emission_filter \\\n", + "id \n", + "0 EmissionFilter abc.BandOpticalFilter at 0x1380... \n", + "1 EmissionFilter abc.BandOpticalFilter at 0x1380... \n", + "\n", + " excitation_filter \n", + "id \n", + "0 OpticalFilter470 abc.BandOpticalFilter at 0x13... \n", + "1 OpticalFilter470 abc.BandOpticalFilter at 0x13... " + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region = nwbfile.acquisition[\"FiberPhotometryResponseSeries\"].fiber_photometry_table_region[:]\n", + "fiber_photometry_table_region" + ] + }, + { + "cell_type": "markdown", + "id": "9636c8e1-123a-47f3-8d2e-517d6e4b3ff1", + "metadata": {}, + "source": [ + "The metadata on the optical fiber used to record the GCaMP fluorescence is added to `nwbfile.devices` and can be acessed as `nwbfile.devices[\"Fiber1\"]` or can be accessed from the referenced optical fiber in the `fiber_photometry_table_region` of the `FiberPhotometryResponseSeries`." + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "f8646f84-a5d2-4caa-922f-dd940048ba3d", + "metadata": { + "jp-MarkdownHeadingCollapsed": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

Fiber1 (OpticalFiber)

description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.
manufacturer: Doric
model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF
numerical_aperture: 0.57
core_diameter_in_um: 200.0
" + ], + "text/plain": [ + "Fiber1 abc.OpticalFiber at 0x13821382928\n", + "Fields:\n", + " core_diameter_in_um: 200.0\n", + " description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\n", + " manufacturer: Doric\n", + " model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\n", + " numerical_aperture: 0.57" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"optical_fiber\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "484e638b-12b9-47b2-9d5b-34d4943ccabe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

GCaMP6f (Indicator)

label: AAV-GCaMP6f
injection_location: SNc
injection_coordinates_in_mm
[-3.25 1.55 -3.8 ]
" + ], + "text/plain": [ + "GCaMP6f abc.Indicator at 0x13817080272\n", + "Fields:\n", + " injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\n", + " injection_location: SNc\n", + " label: AAV-GCaMP6f" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"indicator\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "301fdede-cdb0-4fb3-a743-3e3736c44831", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

ExcitationSource470 (ExcitationSource)

description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\n", + "were coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\n", + "Then, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\n", + "each filtered with a corresponding filter.\n", + "
manufacturer: Thorlabs
model: M70F3
illumination_type: LED
excitation_wavelength_in_nm: 470.0
" + ], + "text/plain": [ + "ExcitationSource470 abc.ExcitationSource at 0x6293973072\n", + "Fields:\n", + " description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\n", + "were coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\n", + "Then, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\n", + "each filtered with a corresponding filter.\n", + "\n", + " excitation_wavelength_in_nm: 470.0\n", + " illumination_type: LED\n", + " manufacturer: Thorlabs\n", + " model: M70F3" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"excitation_source\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "d19110e0-3796-4d89-8b23-83233e570e99", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

PhotodetectorPMT (Photodetector)

description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).
manufacturer: Hamamatsu Photonics
model: H10770PA-40
detector_type: PMT
detected_wavelength_in_nm: 520.0
" + ], + "text/plain": [ + "PhotodetectorPMT abc.Photodetector at 0x6286393040\n", + "Fields:\n", + " description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\n", + " detected_wavelength_in_nm: 520.0\n", + " detector_type: PMT\n", + " manufacturer: Hamamatsu Photonics\n", + " model: H10770PA-40" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"photodetector\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "206bb1f2-269d-4531-93f2-0801ddb6023a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

DichroicMirror

description: The dichroic mirror used to separate green fluorescence from the excitation light.
manufacturer: Chroma Tech Corp
cut_on_wavelength_in_nm: 505.0
transmission_band_in_nm
[505. 750.]
model: T505lpxr
" + ], + "text/plain": [ + "DichroicMirror abc.DichroicMirror at 0x6296216208\n", + "Fields:\n", + " cut_on_wavelength_in_nm: 505.0\n", + " description: The dichroic mirror used to separate green fluorescence from the excitation light.\n", + " manufacturer: Chroma Tech Corp\n", + " model: T505lpxr\n", + " transmission_band_in_nm: [505. 750.]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"dichroic_mirror\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "625148f9-3f99-41d7-acf0-b09e7afac56d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

EmissionFilter (BandOpticalFilter)

description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.
manufacturer: Semrock
center_wavelength_in_nm: 540.0
bandwidth_in_nm: 50.0
filter_type: Bandpass
model: FF01-540/50-25
" + ], + "text/plain": [ + "EmissionFilter abc.BandOpticalFilter at 0x6294841936\n", + "Fields:\n", + " bandwidth_in_nm: 50.0\n", + " center_wavelength_in_nm: 540.0\n", + " description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\n", + " filter_type: Bandpass\n", + " manufacturer: Semrock\n", + " model: FF01-540/50-25" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"emission_filter\"][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "c3a4d6cf-f2f6-4ca5-a05e-398b2a070291", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

OpticalFilter470 (BandOpticalFilter)

description: The band-pass filter used to isolate the 470 nm excitation light.
manufacturer: Semrock
center_wavelength_in_nm: 472.0
bandwidth_in_nm: 30.0
filter_type: Bandpass
model: FF02-472/30-25
" + ], + "text/plain": [ + "OpticalFilter470 abc.BandOpticalFilter at 0x6293964560\n", + "Fields:\n", + " bandwidth_in_nm: 30.0\n", + " center_wavelength_in_nm: 472.0\n", + " description: The band-pass filter used to isolate the 470 nm excitation light.\n", + " filter_type: Bandpass\n", + " manufacturer: Semrock\n", + " model: FF02-472/30-25" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fiber_photometry_table_region[\"excitation_filter\"][0]" + ] + }, + { + "cell_type": "markdown", + "id": "57e457a1-28d5-4451-9666-a058f826b7f4", + "metadata": {}, + "source": [ + "# Access processed fiber photometry data \n", + "\n", + "This section demonstrates how to access the processed fiber photometry data in the NWBfile.\n", + "\n", + "The processed fiber photometry data is stored in \"processing/ophys\" which can be accessed as `nwbfile.processing[\"ophys\"]`. Within this processing module we can access the ∆F/F traces as `nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeries\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "94b788b7-9f26-4480-b89e-e3b17379ebed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

ophys (ProcessingModule)

description: Processed fiber photometry data.
data_interfaces
DfOverFFiberPhotometryResponseSeries
starting_time: 13.91
rate: 100.0
resolution: -1.0
comments: no comments
description: DF/F calculated from green fluorescence collected during 470 nm illumination re-binned to 100 Hz and acquired with one or two optical fibers.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorfiber_depth_in_mmbaseline_fluorescencenormalized_fluorescencerecording_target_typesignal_to_noise_ratiocross_correlation_with_accelerationcoordinatesemission_filterexcitation_filter
id
0SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n
1TSGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n
2SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n
3TSGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n
DfOverFFiberPhotometryResponseSeriesIsosbestic
starting_time: 13.91
rate: 100.0
resolution: -1.0
comments: no comments
description: DF/F calculated from green fluorescence collected at its isosbestic wavelength (405 nm) re-binned to 100 Hz and acquired with one or two optical fibers.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorfiber_depth_in_mmbaseline_fluorescencenormalized_fluorescencerecording_target_typesignal_to_noise_ratiocross_correlation_with_accelerationcoordinatesemission_filterexcitation_filter
id
0SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n
1TSGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n
2SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n
3TSGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n
" + ], + "text/plain": [ + "ophys pynwb.base.ProcessingModule at 0x13768299472\n", + "Fields:\n", + " data_interfaces: {\n", + " DfOverFFiberPhotometryResponseSeries ,\n", + " DfOverFFiberPhotometryResponseSeriesIsosbestic \n", + " }\n", + " description: Processed fiber photometry data." + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nwbfile.processing[\"ophys\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "6557281b-9bd0-40df-a084-766db3497133", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

DfOverFFiberPhotometryResponseSeries (FiberPhotometryResponseSeries)

starting_time: 13.91
rate: 100.0
resolution: -1.0
comments: no comments
description: DF/F calculated from green fluorescence collected during 470 nm illumination re-binned to 100 Hz and acquired with one or two optical fibers.
conversion: 1.0
offset: 0.0
unit: n.a.
data
starting_time_unit: seconds
fiber_photometry_table_region
description: source fibers
table
description: Contains the metadata for the fiber photometry experiment.
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locationindicatoroptical_fiberexcitation_sourcephotodetectordichroic_mirrorfiber_depth_in_mmbaseline_fluorescencenormalized_fluorescencerecording_target_typesignal_to_noise_ratiocross_correlation_with_accelerationcoordinatesemission_filterexcitation_filter
id
0SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n
1TSGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n
2SNcGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n3.61.0417670.686421cell bodies in SNc18.8981140.067393[nan, nan, nan]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n
3TSGCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\nFiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\nExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\nPhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\nDichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n1.01.0501570.053596axons in striatum0.0000000.014802[3.0748749730962577, -0.58, 2.1599445426572172]EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\nOpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n
" + ], + "text/plain": [ + "DfOverFFiberPhotometryResponseSeries abc.FiberPhotometryResponseSeries at 0x13821826320\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: DF/F calculated from green fluorescence collected during 470 nm illumination re-binned to 100 Hz and acquired with one or two optical fibers.\n", + " fiber_photometry_table_region: fiber_photometry_table_region \n", + " offset: 0.0\n", + " rate: 100.0\n", + " resolution: -1.0\n", + " starting_time: 13.91\n", + " starting_time_unit: seconds\n", + " unit: n.a." + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_over_f_traces = nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeries\"]\n", + "df_over_f_traces" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "8377268e-e3ea-452b-ae52-78d0da2b70d9", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + 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bkjqWdkySrVPu++ve168HftX7695XXkGeYtNjFZ0SbVaZAOA0J8+clCQ1CmtUpee1d5LKKcjRjvgdumv2XVV6fgAAAJSfj9kFAACcy2q1auiPQyVJtQJrKcAnwCXXvazRZZKk9SfWu+R6gJmsVqt2xe+SJL1//fu64YcblJyVrBf6vqA2tdvozl/uVFw6naQAV9uVsMthvVWtVpKkSxpcokCfQGXlZ2n8vPFqFNbIYfQUgMojJOXe+H0BYJeYmajEzERjPT4jXquPrVafSX0c9otJjdG7696VJKX+M9X44B8APMGJMyckSY1CnROSKqrQWigvC/0LAAAAzMJPYoAL5RXkmV0CaqC4jDj9GfOnJCk5K9ll1724wcWSpANJB5STn+Oy6wJmiEmLUVJWkny8fNQ1qqtW3LVC68ev10tXvaRLGlwiSdqXtE+PLnxUq6JXadSsUTp15pTJVQOerdBaqNXHVhvrbWq1Uf2Q+pIki8WiOkF1jNd+3vOzy+sDPB0hKffG7wsAu1dXveqwXlJASpIRkJKkg8kHnV4XALhKZl6mUrJTJFV9B/5w//Bi2/ge6hyvrnpVA74boIzcDLNLAQAAbo6QFOAiU7ZNUchrIZqzd47ZpaCG2R633ZTr1guupxC/EFll1dGUo6bUALjKxpMbJUmd6nZSgE+AukR1Uc9GPSVJDUIbGPt9/NfH6ju5r6btnKYHFzxoSq1ATfHNlm8UnxGvUL9QnXzypDbct8HhaV0/bz9jeWvsVhMqBDwbISn3FhEQ4bCekJFgTiEATGf/OWh89/FlPsb+PR4APMGJNFsXqWDf4CrvklcvuJ7u7na3w3vRl1e+XKXXgM3zy57XsiPL9M2Wb8wuBQAAuDlCUoALHEg6oLGzxyq3IFfDfhpmdjmoYYqGpD4d9KnLrmuxWNQysqUk6dDpQy67LmCG2XtnS5L6NC3+xHVEQITevubtYtv/OvGXs8sCarT/rPiPJOnmDjerQWiDYoGAQmuhsfzXyb90/ffX63TWaRdWCHi2+ExCUu6sWXgzDWozyFiv93Y9rT/OmGygJrJ3T+nfvH+Zjzmedtw5xQDwCAsPLNS9c+41vr+4u5NnTkqSGoU1ksViqdJzWywWTbppkjKfy9TCOxZKkhYcWCCr1Vql16npik4xoFMXAAC4EEJSgAt0/byr2SWgBtuftF+S9O++/9ZDPR5y6bVbRbaSJA2eOliTt07Wz3t+1pZTW1xaA+BsVqtV8/bPkySN7DyyxH2e6v2UnrvyOYdtGXm0/wacJSc/RyfO2J4GfnPgmyXuUzQkJUmLDy3Wc0ufK3FfAOVHJyn3ZrFYtOCOBQ4jZRhPgupi2s5puvKbKwnqVJHUnFRJUvOI5g7bLSo9KGDvugIA59qbuFeDpw7WN1u/0Xtr3zO7nDKxv3es6lF7Rfn7+GtAywHy9fJVSnaKjqUec9q1aiJ70E2SolOjTawEAABUB4SkACcrtBYqOz/b7DJQg9nfJDYNb+rya3eo08FYHjdnnG6Zfosu/vJil9cBOFNMWoxSslPk6+VrjNgryblPZvMhJOA8semxkmwj9UoLaBRYC4pt25e0z6l1ATWJPSQVFRxlciU4n8iASGM5Iy9DM3bPMLEaoGxGzRqlP2P+1L+W/cvsUjxCarYtJFW062afpn2U++9c5f87X9Nvna5Qv1CHY+yBAgA4V9FRZ99t/87ESsrOHvxsFNrIqdfx8/ZTx7odJUlbYnmItCoV/XeJTlIAAOBCCEkBTmbv4lPU22uKj10CnCUmLUaSc5+GKs3QdkNL3G6/CQt4gp3xOyVJ7eq0k5+3X6n7DWw5UJc2vNRYLymgAaBqFH0SuLRxCfab00XVD6nv1LqAmsQeVqwbXNfkSnA+IzqOcFg/mnLUnEKACkjOSja7hGrParUanaTCA8L16+hf9fqA17Xy7pXy8fKRt5e3RnQa4fA+Rjr7PR4AzjVn3xxjOTol2hiDtvDAQrcNr9jfPzo7JCVJnet1liTtSdjj9GvVBLkFueozqY/6TOpjbNuVsEtTd0w1sSoAAODuCEkBTrYjbkexbd9tqx5P0aD6e3XVq9oet12SOSGpno16lniDgU4dZ6Vkp+iyiZfJ8pJFD8x7QPfNvU+Dpw5WZl6m2aWhjP489qeksze6SmOxWHRlkysdtp3JOeO0uoCazN5F8Xz/9n055EsN7zBcq8at0v0X3y9JSshMcEl9gKeLSY1RfEa8vC3exvhluKfn+jynd699V6M6j5JE8AHuLy0nzVgO8g3S80ufV7/J/RhbVEFZ+VnKL8yXJIX7h+v61tfrmSufKRYyb12rtcO6vVsgAEi2exv2aQpFg1BWWfXGn2/oxeUvavDUwWrzURsTqyydK8bt2bWpZfs1WHdiXYmvx6XH6Y/oP5xeh6fYHrddq4+tLrZ99M+jTagGAABUF4SkACc7kHyg2LYjKUdUaC00oRrUNM8ve95YNiMkZbFYtOn+TcW2703c6/Ja3NWH6z/UhhMbJElfbv5SE7dM1MIDC9V3Ul/jZjXcV3Z+tj7c8KEkaWjbkjunFRXmH+awzgeRgHOUZVxCs4hmmnXbLF3Z9EoN7zBcEh/4AVVlZfRKSdLFDS5WqH/oBfaGmXy9ffVEryfUt1lfSdKp9FMmV1S6SVsmaebumWaXAROtiVmj8NfDjfW8wjy9uvpV/RH9h5q930zRKdEmVlc92bs8e1m8FOIXUup+lzW6zGGdYDkAu+Npx1X/nfoaMWOEDiYfVKG1UOH+4WpXu50k6cUVL+rlP1429rdarWaVWip70LZxWGOnX6tNbVtIau6+uZq0ZZJ+2vmTjpw+Yrze46se6je5n3479JvTa6nu8gvzdduM20p9PSU7xXXFAACAaoWQFOBk54ak/L39lZ6b7rbtheG56gTVMeW6JY1YYYzHWaWFZDad2qRpO6dJkpIyk3TZxMv0nxX/cWFlKIvDpw8rPTddYf5hur3z7Rfcf/zF4+Xj5WOsP/rroxrw3QBl5GY4s0ygxilLJ6mi6gXXk0RICqgq22K3SZJ6Ne5lciUoqwYhDSS5b4D7WOox3TP3Ho2YMUJ5BXlmlwPZ3tNN2jLJpb8fV3xzhcP6xpMbHdYnb53sslo8hX3UXph/WKkjiiXpmlbXOKwfPn1Y64+vd2ptAKqHefvmKTMvUz/v+dnoZt++TnvFZcSVuL87vedKyU7RK3+8Yjy82KFuB6df095JSpLumXuPbp91u8bNGWdsi0mLkSRd9/11Rl0ozmq1avTPo3Uk5WzAbOYIxzA9958BAEBpCEkBTrY/ab+xPLDlQLWrY3uK5lDyIbNKQg3SJKyJJKlfs37yspjzLb+k6yZlJplQiXvKLcgt9TV7u+iPNnykDSc26KWVL9Fdyo1k5GYYT/a1iGhx3g8V7JqEN1HC3xPUu0lvSdLiQ4u17Mgyzd8/36m1AjXNyXRbSOp8naSKsoekEjIS6PYJVIHoVFs3l5aRLU2uBGVVP6S+JOnUGffsJFX0Qy53+nC1Juv0aSfdM/cefbThI5dcr6T3TeeO2PvPyv+o+xfdtSp6lUtq8gT2TlLh/uHn3a9peFNtf3C7Nt+/2dh2+deXO7U2ANVD0Y7Z9hFnrWu11uOXPS5JuqalY8iyyXtN3Kab1KQtk/Tv5f821osGmJylW/1u6lKvi8O2ldErlVuQq4LCAoftzyx5xun1VFez987W9F3TjfUhbYfolo63qH/z/sa2oh26AAAAiiIkBThZTKrt6Y91967T4jGL1Sy8mSTp042fakfcDjNLQw2QlZ8lSfroBtfcuC7Nb2McW0QnZiWaVIn7sXc7sesa1VVD29nGtm2N3SrJ1lXKbsupLZKk5KxkrTy60m1uLNVE98+/X08sfkKSbWxXWUUERBRr4R6fEa+VR1fSGQGoIvZxe2XtJBUVEiVvi7cKrAVuGxAAqhN7oKU8/z7CXA1Cz3aS+u3Qb3rm92eKdekx068HfjWW3bXbVU2TmZcpSfr98O8uud6ZnDOlvnZ1i6uNwPPW2K3qO7mv7pp9l1EjSmcPHdYKrHXBfbtEdVG3+t0ctvEQD1CzJGYmauqOqTp8+rCxraSRZg1CGujZPs9q+4PbtXD0QofX8grz9Mafbzi71DI5dwKEr7ev06/p6+2r7Q9t1/Wtr3fYvi12W7FRptzzK92cfXMc1rvW6ypJ+mXkL8Z9gKJdpgAAAIoiJAU42ZHHjujoY0fVvUF3eVm8jJDU/P3z1fXzrnQrgFOl5aRJksIDzv9UqLOd25p/6o6pemrxU8ZTqzXZuW/Y594+V/+9+r+SpPUn1uvmn27Wn8f+NF7/6+RfkqSrv71a/b/tr9l7Z7uqVJxj6o6pxnL94PrlOtY+0sbub4v+pv7f9tdrq1+ritKAGimvIE8vLn9Rf0T/YQRQG4WVrZOUj5ePEeY4dJpun0Bl2TtJNY9obm4hKLOo4ChJtg8ur/v+Or255k31+KqHPt/4ucmVSTviduj1P1831k+lE2Z1J94Wb5dcx/7eVrJ1cS3q9QGv6199/uWw7btt3+nB+Q+6pLbqymq1Gp3A7F3PL+Tc7rl0SQdqjkUHF6nuW3U1+ufRuv77swGfkkJSUSFR8vP2U5eoLvLx8tFb17zl8PqzS58t9tCgGew/s0rST7f+5NJrfzfsOz1x+RPG/aGd8TuL/Zr4efu5tKaSzN8/X0N/HOp2nTyDfIOM5UFtBulffW0/B0QEROjOrndKcuwklZmXqSnbpigjN6PC10zMTNT3279XVl5Whc8BAADcAyEpwMm8vbzVLKKZ8abm3Kep/zrxlxlloQbIzs82RhJcqHW+Gd5d966umeIYnjqQdECfbPjkvCPoPInVanUYHTLxxolqFtHMIUAze+9snc4+bazP3TdXTd9rqm1x2yRJP+1y7U0c2Jzb8enShpeW6/hrW11b4vYXV7yo1cdWKzGTbmuebN6+ecXGwNhv2DGOtOJm7J6hl/94Wf0m99O+pH2Syt5JSjo7FqzoU9EAyi87P9v4EMX+gAjcn7+Pv8OHTXYPLXjIhGocfbftO4d1Okm5F1eMdbdarbpl+i3G+vK7luuNgbYuJJNvmqwejXpocNvBxus3tr1RkozR2CjZtJ3TjE5gnet2LvNxRTtVn/v3E4Dn+r8//s9YLtqBaX/y/mL72sf42j3d+2nNHzXfYZs7vO+y35P7bcxvuq3TbS69dt3gunr3unc1pO0QSdKexD165Y9XHPZxh2D4jT/eqHn752ncnHFml+LgeNpxSdIjPR7RgjsWKNA30HjNHqY+mnpU03dN18iZIzX2l7EaO3usHlxQ8QD1TdNu0p2/3OnwdwEAAFRPhKQAF7N/AGd3+deXO3QjAaqKvUuTRRaF+oeaXI00f9R8ta7V2mHbXyf/cghEdfq0kx759RG9u/ZdV5fnElarVT9s/0G136yt8XPHa2X0SmXnZ0uy/fqM62674RAZGFnqORYfWqyYtBhjPTKg9H3hPMdSjxnLs26bpbu63VWu469vfb0GtBhQ4mt9JvXRA/MfqFR9cF8n0k5o6LSh6ju5rxIyzrbSf27pcxo7e6zuml2+P0s4q6RwYaPQsnWSkqSWEYSkgIoqKCxQQWGBpLOjm/y8/RQREGFiVSgvd30qfkX0Cof1rzZ/pb/9+jctPrjYGK8K87giJLUncY+2xNrGjjcNb6pmEc30995/17HHjxk/h7eMbKmfb/tZC+9YqO9utgV34jLiKtUxwtN9uflLY7msnaQk6ZGej+iTQZ8UOwcAz7LwwEJN3jpZkvT5xs+1JmZNsX2WHVlmhCUHtzkbVrV3qCxqcNvBin/6bDeimNSYYvu4SkZuhjac2KDoFFsnKTNHRNsfKnhrzVv6Ze8vks7+2xqdEq3s/OwS3+vO2DVD22K3uazOhQcWakfcDpdd70JOnLH9DHju2EJJahFpC0kdOX1EI2eO1PRd0zVrzyxJ0vfbv69wiNr+d2DK9ikVOh4AALgPQlKAi13X6rpi20b/PNqESuDpUnNsIalQ/1CX3Li+kMFtB2vxmMXFtl/3/XWyWq2SbOM9JGnJ4SUurc1VlhxeojG/jFFyVrK+3vK1rvr2KuO1wW0HG79P5/5+9W/eXxMunVDiOfML8zV562Q9/dvTSs9Nd17xcGAfx9WxbkcN7zC83C3QvSxeWjJ2if66r+Rugj/v+bnSNcI97YzfaSw/t/Q5zds3T5L0wfoPJEkLDiwwpS5P4OPlU2xbsF9wmY+nkxRQMVarVb2+7qVOn3ZSbkGu0RGvdmDtYmOZ4N6sspa43ezwlP1D1Fs73ipJ2nBigz7a8JGu/+F6NX6vsfFeAq7z3NLnjGVXvNcsGnSy/3m0WCxqEt7EYb+bO9ysG9rcoIiACONhknPHm8PGarUaH663r9Pe6L5VVrd3vl2SLaSek59T5fUBMFehtVCDpw7WuDnjNGfvnBI7S07ZNkW3zTjbfalrVFdjuW5w3RLPWze4rsZ0HSPJ8eEzVxsxY4Qum3iZMvIyFOoXauqI6JKuPfHGifLz9tOZ3DMK/G+gGr/bWMuPLDde33Ryk26beZu6fdHNeFDBWYp2Gv1q81dOvVZZPb/0eW0+tVmS1Cis+INR9k5S9g7T57ru++s0cfPEcl2z6M+bYf5h5ToWAAC4H/M/NQdqmGC/YM25fY5C/Rw7+xBuQFWzd5Jypzdu57bblqQVR1do7r65DtvyC/NdVZJLVeRJpTD/MC2/a7lGdRlV4uuxGbEaN2ec3ln7jkJfC9XXm7+ubJk4j+z8bBVaC40QxbndAcvr0oaX6snLnyzxNUbueaaiN+kmbpmoodOGyvISIYKqkJKdUqnjCUkBFZOSnaK/Tv6lfUn7tO74OiVl/S8kFVTb5MpQVVp+2NLpH8CVJrcg1+hO9p9+/ylxH75vu95rq18zll0RkrJ/X5GkjLyydYay/7t+MPmgU2qq7hIzE3U6+7QssmjLA1vk7+NfruMjAyKNB0UYgQl4npNnThrLJXWQkqSxs8c6fH9uHNbYWD5fR98mYbaA62cbP9OzS5415Z74rwd/NZaHtR9W7gffqlJJXaxu73y7utXvZqznFOTob4v+ZqwX/dln1bFVVVpPobVQI2eO1APzHpDValWIX4jx2pbYLZq0ZZIOnz6s6bum68pvrtSfx/6s0utfSHxGvF5d/aqx3qZWm2L7NItopnD/8PPeX75v3n264YcbtCdhT5muW/TvxO6E3cbPpwAAoHoiJAWYYGi7ocW6h1z3/XVKzkrWU4uf0r1z7uVpWFSavZNUuH+4yZWcFeQbpK+HFg/xnPskkr2jVFE5+TkOo/nMtiNuh0O3n4LCgguOcrCP1jvX5Jsml3qMvTNK+zrtjW1HHjuil/u/LMnxTbokjZ83/rw1oOJOpJ1Qyw9aqt/kfjqUbOskZR/PVRlP9io5JNXyg5Yuv9kE59uXWPKTjEW50/e66uTckFR5x5G2qtVKkrT2+Fp1+awLNz2BMorLiDOWt8ZuNUK+dYLqmFUSKujBSx4scXtseqy+3vK1JiyY4NKuUoXWQp1IOyGrrPLz9lPHuh1L/HO17vg6l9WE4p3F7O9xzuScKdPPORVR9OGBzLzMMh3TvX53SdJHGz7S/638P133/XXGg0Q4+wF7o7BGCvAJKPfxFovFeAiKkBTgeYqGcN5c82aZj9swfoOW37W81E5S0tkuP9Gp0Xr9z9c1Y9eMihdaBfo162fq9Xs26umwvmH8BgX6BuryRpc7bN8Zv9PoTF30ve/0XdP114m/9MXGL6rk84Q9CXs0fdd0fbn5S3284WOH98Wrj63WPXPvUasPW2nkzJH6M+ZPPb/s+UpfszzsXWvtSuoe7eftp1cHvFps+7kWHVykb7d9W6brfrHpC4f1JxY/UabjAACAeyIkBZikTe02RntyyfZUTu03a+vdde/qm63faEe8+8z4RvVkv1FZUvcmM5U0cnLBgQW65MtLjPU1MWs0Z+8c44l1q9WqfpP7qeUHLUt8wiwxM1Gf/fWZPt7wcbE3y87S9fOuumX6Lfr90O+SpH6T+6np+02NkQUliU6NliQ93ONhY9urV7+qu7rdVWxf+3i9Nwa+Icn2QePeh/cq+vFoNY9ormtbXStJRnvpovIKiofMUHnPLn1Wp9JPafWx1Vp8yDY60h6qqIxGYY2075F92njfRh3+22G91P8lSdKZ3DO6/ofrCcx4kLyCPM3dP7fE1+oGnb2JbObYgerMfqO4fZ32igyI1PQR08t1fNHOcDvjd2r1sdVVWR7gseLSz4akVh1b5TBuD9XLO9e9U+prD8x/QJ9t/ExTtk9xSS1Wq1WXT7xcLT+0fW9uFNpIFotFN7W7qdi+uxJ2uaQmTxCTGqOOn3TUu2vfrfA57O9p7Ozvz4b9NEztP2lf4vuTyqpIh9Vn+zwrSVp2ZJleWPGCfjv0m15f/XpVl1ZtVUVnXPu9hlPpp6qkJgDuo7QujVOHTy1x+4AWAzSm6xj1aNRD/Zv3P++5B7UZ5LC+N3FvhWqsKu3qtDP1+n7eftr+4HZjvUWkLUT2jyv+oTFdx2jCpRM0oMUASdLamLWKSY3R/fPvN/b/bONn6jmxpx5c8KDWn1hf6XoOnT5kLBftXlWaot3EXOF09mlj+YPrPyh1vwk9JijY1zFAdX3r64vtt+HEhjJ1TP398O8O69N3le9+AwAAcC+EpACTeFm89OMtP6rwhcJibw4lx04T7619T3fPvtu0EQeonuwdhhqGNjS5Eke1AmuVuP3cm+nDfhqmfy//t3479Jui3o7S+hPrdeLMCW2N3apFBxfprxN/GU8C3zHrDk1YOEGP/vqoxs0Z5/SvoejT07fOuFUHkg7oz5g/lZyVrGeWPCPJ1nXopmk3adyccRr0wyAlZCQYwYdBbQbpiyFf6L3r3tNTvZ8q8Rof3PCBdk3YpXu732tsa1ennZqGN5Ukta7VutT6Xl75cqXHTsFRbHqspu2cZqzbg6yVHbdn17Z2W13S8BK1iGyhF/q9oF0TbB/2peem67mlzykmNUaS9Pff/q77591Pt8Fq5kTaCcWmx2rm7pk6nnZcUcFRRgBSkkL8QhT/93i1q227OWv//UbZJWclG10JJ1w6QUn/SNLAlgPLdY6IgAjje6wknTrDB35AWRTtJDVz90w98usjkghJVUdBvkFae+9ahfqF6uMbPi5xn7J28ams5Kxk/XXybPflRmG2sT0fXP+Bnurl+PMzI4rL7u01b2tP4h499dtTFR5xHp3iGJJaGb1S7659V8uOLJMk/bD9BxVaC/XnsT+rbIRSRX6PW0a2VFRwlMO2abumcV/lfw4kH5BUufczDUIaSLL9rHuhrsqoObbGbi11PBuqh6y8rBJD0Q9c8oBGdRlV4jFLxi5RmH9Ymc7fKKyRxnQdY6wfPO3asajn/vtXtHO7WTrX66yHLn1IT1z+hNE1s1FYI025eYo+GfyJMVIuJi1Gr64qvUPS0ZSjla6ltDG1RX/PinJlB+YP13+oK765QpLt36BHez563v1f7Peiw3rnup216f5NDtuWH12ufy755wWvfe7PIhc3uLgsJQMAADdFSAowmcVi0atXF39zsz3u7BMkT/72pL7d9q3m75/vytJQzblrSCrQN7DM+762+jVd9/11SshMMLbN3z9fN/xwg3pO7KmINyL0xuo3HJ7mmbd/XpXWe65Ca6HafXz2KbO0nDS1/bitsW5vfX3bzNs0d99cTd46Wb8e/FXTd003nrpuFt5M919yvx6//HH5efuVeB0fLx91rNtRFoulxNdrB5X+weMrq145700TlN9vh34rNgbSx8tH3ep3c8r1OtbtqN5NekuS3ln7jh5c8KDSc9P19tq39dXmrxSTRoimOsjKy1K3z7up8XuN1fGTjvp80+eSbN3k/nHFPxT/dLxm3TZL2x60daBrHNZYknT1d1fr6d+eNq3u6ui5pc8ZyxEBEaV+77yQX0f/qs71OkuydTkEULq8gjxl52c7dJIq6nw/q8B9Xd74cqX8M0UP93y4xNe9Ld4uqSMtJ81h3R52CfYL1tvXvu3wmr2DQaG1UM/8/oz++8d/XVJjdVT0Z8iKjnUuqePlU7+dDa7lF+bru23f6cpJVyr0tVAtOrioQtex+/eyf+u/q87+npY0vr00XaK6OKwfTTmqJYeXVKoeT/Dlpi/14grbB8cXRV1U4fO0irR11X3k10fU5L0mTukihuohOz9bN027SX0m9VH3L7rrim+uUEJGwoUPhNv4atNX+nLTl5KkxxY9ZgRfi4oIiCjx2NLG9Z7PlJunaP4o233uA0kHyn18ZZzOOu2w7g4joi0Wiz4d/Kneva7kTo/2h3n+74//O+/9oFGzRunOX+6sVId5e0hqfPfxDttvbHtjifvHZ8S7ZJxtobVQjy16zFg/3z1Tuyd6PWHcW5NsPxeUFG56e+3b5x3fvPTwUuPX5Z1rbZ1Xz/1ZFQAAVC+EpAA3UNK4pldWvaKOn3TU3H1nx/LwoTjKw11DUpL0j97/qPCx3237zmH9+x3fV7acctmTsOe8fxdPnDmhLae2FHtycmvsVqO7U9FOJVWpT9M+xvIve39xyjXcyZqYNZq8dbJLrrX+uK1l+WOXPaZbO96q1rVa6/ubvzdCLc7QuW5nY3nhgYUO3YWy87Oddl1UndXHVmtbnC0AdTr7tNbGrJUkXdfaNna0bnBdDe8w3HiCv+ifp3fWvuPQtQ7ndzztuLHs7+Nf4fN0rNtRIzuNlCT9evBXzdo9q9K1AZ7q7jl3q86bdbTp1KYSXy86RhTVi5el9FtFrvpA6NyuqOf+ebq5/c3GckJGgqbumKpXV72qN9e8qX8t/5dLuxpUFweSDjgElubsm1Oh81zo1/ZA8gG9teYtY/2GH26o0HXsvtj0hbH8wfUf6J7u95T52CubXCnJFu5rEWEbX8TDZ9JLK18ylq9rdV2Fz1N0bPzp7NN6ZOEjlaoL1deKoys0d99ch3HV+5L2necIuJPEzETdP/9+PTD/AR1MPmh06JWkvQ/vNf4N7tW4lyRpwR0LNPaisTr9zGnNHzX/vON6z8fewWl/0v4KdzesiKIdgY48dsRl162MJuFNjOULPczz/fbvK/XgpP2eZ49GPRx+3rqs0WXF9rWHZc8dRecM22K3OayH+ode8BgfLx89dtnZYNXljS8vdd9rplxTathr4JSzXaovaXCJJBEEBQCgmiMkBbiBEL+QErfvSdyjm6bdZKwXfdJl1u5ZenjBw5V6MgSezZ1DUm9c84a+uvErXdvqWk0dPrVMx9zZ9U5J0ql0x/FH9s5NRTV/v7nunn23cgtyK1/sOdYeX3vBfS7+svhTSUuPLJUkRQZElumNfFmsvHulw/oVTa4wlg8mHzzvU1Ce4IpvrtC4OeO0KnqVrFarjqYc1ems01U+QqPQWqhlR21PUfZq3EszRszQgUcPaGTnkVV6nXONvWissdwgpIHDU/s8sebe7OMQz+Secdhu70bWKLRRicedu33DiQ3nvU5MaoweWfiI9iftr2ipHqNoV77SnnAuq/oh9Y3lW2fcqtj02EqdD/BEGbkZmrpjqjLyMvTttm8lSRY5PsntzCAxzOOqkTipOY4fUp3b5eHHW37U+9e9L0ladWyVRv88Wv9e/m/j9S2ntji9xurm0V8fVVb+2QD2/P3zlZqdqocXPFyu9w32zl3ndpjw97aFlFccXaHDpw87vFbR+xbxGfFGV+H3rntPD1zyQLmOf+bKZzR/1HzFPR2n9657T5ItBF3T2cfkSZUbM9U1qqvDuv0eBKPfa56SRnwdOV09widwvK82ZOoQY/naVteqbe222vfIPs29fa5ubGfrJDSozSB9O+xbRQREaHDbwQryDarQdVtEtlCQb5ByCnJKHfHmDPZ/V9rWbqvmEc1ddt3KKPp9uyz+s/I/WrC/Yp2R7eGfesH1FBkQaWwv+sDn6wNe186HdurWjrdKkn7e83OFrlUeRaduSCpz9yofLx9j2T62sCTpueka/fNoh3uKB5MPOjywKNn+3Ei20dCM8AUAoPoiJAW4mSubXqm195Ycwig6cuzWGbfq042f6pst37iqNFQz9hvTTcKaXGBPc4y/eLwWj1msUV1GGU+j2ZX0pvWmdjcV21aa6NRofbvt2yr/+5FXkKc3/nyjxNfu6XaPRnQcUeqxR1JsNwirsotU32Z9Hdb/O+C/+vD6D431Xl/30om0E1V2PXe16dQmfbftO7X4oIVqvVlLLyx/oUrPv2D/Au1N3Ksw/zBd0+qaKj33+VzR9AodfNR2ozA1J9WhgxkhKfc1a/cs1Xmrjn479FuJ4RqLLIoKiSrxWG8vxxFGK6NXlrif3ciZI/XJX59o8NTBRjCrprL//ejVuJcGthx4gb3Pr+hNVEl6ffXrlTof4IkWH1pcbNtPt/7ksF70iXdUT7NHzlaLiBZ6/7r39a8+/5IkTd46WYsPFv/9r2rFOkkFO3aS8vfxL/azcFGldTgriz+i/9CV31xZrGNBdZaVl2X8vbXfbziQfEARb0To042favDUwWU+lz0k1aZ2Gw3vMFyS1L95f8U+HavWtVorKz+rWNdT+3uh8rL/HrSp1UaPX/54ubtFBvgEaHDbwaodVFtXt7havl6+OnT6kGbunqmG7zTUO2sq1v2kusspyJEk/TbmtwqPKC7JsdRj+mTDJ4p8I1Jfby77WERUf/aQ1MM9HlaXerYxlxX9ew/XKxqSsncA+2H4D1o8ZrEsFosiAyN1Y7sbz9tpsiK8LF7Gn5dzAzDOZA9kOavLuzNc2vDSYtt2Tdh13mOG/DhElpcsenB++cYh2j9/qBdcTy/0e0EhfiF66NKHZLFYtP3B7Zpz+xw9c+Uz6lSvkzHK7qddPzm9s9K5D80W7Qh2PkPaDtGYrmP09dCvjX/zXujreN/w7WveVoBPgBYcWKDPNn4myRYWa/NRGzV93/HPif1nUqusunfuvTzADgBANUVICnATbwx8Q4E+gXrn2ndKnI0t2W46rIpepfYfn33Sb1fC+d8QoWZKykwy3jx2rNvR5GouLD033VieN2qedjy0Q83Cmznsc0ObG+Tr5WusB/oEOrwe6le8O9NDCx4ynmatCtvithV7uu2Xkb9o0/2b9PVNXzt0crK3nD5X0W4nVWHKzVMk2b6HeFm8in3/aPxe4xKf6qzuio4hS81O1d1z7jbWX11d8bbiJbF3ARvTZYxqBdaq0nNfSL3gepKkzLxM3TfvPmP7gO8G6JMNn7i0FpTNrTNuVXJWsm6bcZvi0uOKvR4VElUshGM3rts4NQxtaHRfeXHFi3pu6XNKykwqcX97Z7uDyQdV/536NSIUWRr7052fDv600jfvh3cYrqjgs0E2T+/KB1TEP5f8s9i2vs366puhZwPq7hrUR9nd1P4mHX7ssB67/DGHTk6P/vpopc6blpN23rE6+YX5uvmnmx22lTS+sXZQ7VLPsSdxT7lqKjpCrt/kfvoz5k8NmjqoXOdwZ/bOXBZZ1LNRz2KvJ2cll/lc9p9LagfW1g/Df9CCOxbo9zt/V0RAhK5vdX2Jx1S06+Wh04ckVa7bkV2of6j6NLONJx8xY4ROpZ/S078/XenzVkf2LuWRgZEX2PPCpt0yzVi2yqpHfrWN3Bs/b3xph8CDPLX4KT25+EnjnkPLyJbG6OoDyQdMrAwX8v669/WvZf+S1WrV7oTdxV4/XxC5Ktk70rkyJLUjbockqXPdzi67ZmWFB4Qr9Z+pCvYNliRNvHFiqfd7vxv2ncL8w4z1LzZ9oTM5Z0rctyT2n4nqBtVVs4hmSvpHkj4ZZLv/1CWqi4a2G2rsa793W2gt1FXfXqWNJzeq/tv19dlfn5XvCyyDcx9CaxHZokzH+Xn7acrNUxzG9b501UtK/sfZn31GdRmlNwbaHop9b917slqtpf4s6ePlY/xc+u22bzV56+TyfBkAAMBNEJIC3MQ/rviHUv+Zqp6NepYaotidsFt///3vxlM9knQ6+3SJ+6Jmsz8F1iKiRZWNdnOmJ3s9KUm6uf3NGtJ2iPx9/B3GJQ1sOVBBvkHq3qC7sW3nhJ3Gm3TJ9iHJS/1fUud6nXVbp9uM7f0m99O22G3KzMvU2pi1avpeU83aPUuS9OH6DzVx88Ri9ZzOOq3olOhi2/cm7i22bVj7YUYw6b5L7tPITiP1+oDXtf2h7dr6wFZ9f/P3eu7K54z97TcMq8qYrmMU+1Ss/t7775KKjyKRpMcXPV6l13QHRb/32Z9mL6roB2/b47YrIzejXOcvtBbqPyv+oycXP2mM5Lii6RUXOKrqhfiFGKNLzmX/AALuycvipbiM4iGp0kbtSbabfCeePKFFoxcZ215b/ZpDQK408RnxenjhwyXe4PZ0VqvVuJFbdFReRYX5hyn26Vg9efmTxV6jnT5ge2r73A8+fbx8inXJq4q/j3Af4QHhxrKvt+959jy/pMwkNXq3ka7+9upS91kVvarYtnM7SUm2kE5pSvpZvjRfbPxCUW9H6ctNXzpsr8qHLcxm70Ia6h8qL4uXOtdz/GC46DidC7F3bqgdVFsBPgEa1GaQEQAv7YGCioak7B+IVtUI+b5Ni3/oX94OG57A/l6qPL/vpRnZeaSiH49W9/rdL7wzPEpseqzeXfeu3lv3nn7aZesm2TyiuS5peIkk2+hNq9VarnAGXCMxM1FPLH5C/131X+1O2K1jqceK7VNV33cvpGhIqqCwwOGBOGfZmWC7Z9olqovTr1WVwvzD9Nd9f2nXhF269+J7i70+ustofTP0G9150Z2KfjxaD15y9t+377Z9Zyzvit9V6sOU2fnZxoOs9p+9/Lz9Su062Czi7AOuuxJ2qcdXPRSXEacJCydUeWcp+8PAIzuN1MhOI/XRDR9V6nyRgZF6bcBrern/y2oY2lD3dr9XPl4+Onz6sOq9Xa/EALk9FFZ0TGNJf38AAID7IyQFuJEL3Ww+dPpQsR+8y/PEJ2qO2XtnS5Iuqn+RuYWU0diLxmrD+A36YfgPxrZA37OdohbesVCS402ahqENNaHHBA1oMUCS9HL/l/VCvxe046Edevfad439DiYfVLcvuun676/XTdNuUkxajG6dcauOpx3XY4se033z7tPM3TMd6hk4ZaCaf9Bch5IPOWy3h6RuaH2Dbm5/s/64+w+H14N8gzTt1ml65spnFOQbpIvqX6TRXUfrlatf0fEnjivpH0l6qvdTlfmlKlFUSJRxw6KkkFR0atk/JKou7E8/S9K8/fOKvR7430DN2DVDlpcsuujzi1T3rbrG98+VR1fq38v+fd4OBosPLtZLK1/Se+veMz7UKempe2ezWCzlHisCc8zcPVP3zT0bZrLKqi82fVFsv6I300rTulZrh/VDpw9pa+xW3TL9Fj2/9Hn97de/adKWScWOm7Nvjjp92kkbT25UbkFu+b+IaiojL0NW2cYNFn1itrJGdRklSVp/Yr1SslM0acskhb4WaoyZWnd8nUd9gA6UxeStk1X3reJhldPP2P5dtgeKfbx8io0QRfVWNLS9O2G3Np2s2Di7xYcWKz03XauOrSo1eFrS+JSSQnfBfsHFxnbbOw6V5+ffBxfYPkR8YP4DZT6murGHpML9bWG3mSMc3/+U5+cG+wMKJYXUSgtJ7UvcV+L2Czl1xvaBaFWFLkvq2v3Fpi+0/MjyKjl/dZBbkKvMvExJVdNJSrKNrCraWUSq+g7KcD8l/Rx8acNL1a9ZPwX4BOh42nE9tOAhhb0epqcWP+WS8AvKZuXRs2Pd31zzphYcWFBsn6oerVeai6Js9y23xW3ThAUTFPlGpPYklK8bZHn8fuh3LTm8RJLUoU4Hp13HWTrU7eDQQequi+6SJI3oOELfD/9e47qPkyRFBETosyGfacKlEyRJzy97Xpl5mZqzd446f9ZZLT9oWeyemNVq1Q/bbfdlfb18jZ8ZzqfoA67n2hK7pVxf2/nEpMZo+q7pkmwP2E67dVqVjEv855X/1L/7/VuS7edK+79diZmJ+u+q/zrs27pWa625d40k2zhfO/69AwCgeiIkBbipzfdvLnaTSSo+f7smj9ZBydJy0owP5h+69CGTqykbL4uXejTq4RCMKvqG0x4gLPrm2/7698O/1+93/q47L7rTeK1RWCOtuGuFHu15dhTIqmOrlJB59immol2h5u6bayznF+Zr86nNkqSfdv2k7Pxszdo9S0sPL9WsPbYOVNe0vEY/j/zZGNdwIRaLRY3CGrlkVFtJN7qLjjOsKvuT9uuJRU8YH1y4WtFOUvYn4Cw6+2RbfmG+bpt5tqNYVn6Wrvr2KlmtVvX/tr9eWfVKsW4BRS08sNBh3d/bXy0iytbKu6qN6Dii1NdWRa+S1Wp1YTUoqqCwwPj1HzFjhCZuOduZLiU7xVju37y/sWwPdp7PucG45Kxk9Z/cXz/v+Vmvrn5VH234SPfMvaeUo6UeX/WQ/yv+JY7780T2p9O9LF7FRrFWRtGbrvfNu0/3zL1HWflZGjptqLac2qJeX/dSqw9LHq0KeKp75pz93tOnaR+N6DhCXw/9WiF+IZKktrXbavP9mxX9uOcFtGs6+7g2O3uwqLy8LWfDc/b3tgWFBTpy+oixff2J9cWOK22kzKsDHMcs/3SrrZvJibQT5w3E1zT2kJQ9TNyuTjtNvPHszy0ZeRllDjDYx+2V9HBG0fci17S8Rt8Ns3Wu2J9csU5S9j8jDUIaVOj4c5UUkpJsHW9Ksz9pv8PPddVd0a+lLB+Al9XfLvubw7r93wV4rnNDUs0jmqtpeFMF+gaqd5PekmTcm3p33buMYHQjRf+dLdph6N99bWERe/DGFezdnI6lHtOXm79UTkGOOn7ascJhbLvdCbv10PyHjM6SuxN268H5D+ra76819inLA0zu7pNBn+inW3/S10O/LvH11we+Lh8vH6XmpOqTDZ9o2E/DJNke6lp5dKVG/zxav+z5RZL068Ffjb+ndYLqlNo96lz27krnOppyVPmF+Sq0Fpbzqyruw/UfGssNQqvmZ4KSFB3vvPHkRmP5yqZXatP9m0rssFZ0ZDMAAKg+CEkBbqp7g+6aMWLGBfcr6Slb1Gyz985WVn6W2tVup2taXmN2ORVW0o3w2zraQi9Fb8jXD6mvgS0HFtu3X/N+xg2eklwz5eyvzZTtU/TFxi/0j9//4RCeOppyVB+s+0C3zrhVA6cM1N7EvYoMiNSITqWHVszmZfHSawNec9hW3pDUnoQ9enLxk+d9o993Ul+9v/79Cn9AVllFO0lJtie3Dj92WGO6jin1mMOnD2tXwi5jfcOJDSXuZ7VatfCgY0iqVa1WpnXE+OrGr3Tw0YMlvtZ3ct9iT7fVJJl5mTqYXPKvjbPFpcepwTsNNHJm6SM0IwIiNOu2WZp440RFBkTKz9tPQ9oOKfe1jqcdL/bhdFksP1ozuiIU/eC3rDdyy6LoDdKiHQdzC3KNbiPZ+dmVvoEP7EvcZ9r3svJIy0kzurZJUq/GvTR9xHTd090xtNm9QXeXjWiB69zc/maH9ez87FL3jUuPU3JWsk5nndaA7wboH7//w+iAXHRMsj3o/uivj6rlhy01Z+8c7YjboXfWvuNwvsVjFpfa0aJfs37q26yvQv1CFfd0nDrX6yy//2fvrsOiSt8+gH+HRkAQAUVEVMACFFQEC7DF7u7ubtf2Z66uvXau3a2rYjc2iIWLYINYgPS8f8w7hznMDCEg4fdzXXvtieec8wzgzJnz3M99a+ogQZqAkK8h6X6di68vVtr28vNLzL40G1+j0/9ZnFMkD5ICgF4uveA30E/42aoqYZ1cZGykMFkheYlNQJxJyt7UHqXNSgPIQCYpeZBUJg2IWuW3wtKGS/FXg79E22demikKHtrjvwf7H+/H07CnKL2iNMquzH3ZRtS59EqWDdlY1zhTv9+Y6pviTNczwrqRjlGmnZtyJnmQVDnzcmhZpiWWNUwKYnCzclNqv+PRjl/WN0qZumc9I9xH4PGgx1jRaMUv64uJngnq29ZX2r7o+iK8+fYmzZ+9vm99hQxUf177Ew6rHLD6zmoUX1ocxvOM4bDKQSnTs6rPsdzGQMcA7RzawUhX9Xuuka4RWpdtDQAYd3acaF+jHY2w49EOtNrTCoD4O2/ysrwpudLrCs52PYs9bfaItgeGB6LC6gowmGOgspRyeig+26hkWSlD50rJ1pZblbY5F3bGxR4XRfdQI91HCssrbq/gMwEiIqJciEFSRDlY8nStirNu5cKiwphFhETkWZCalGqSqYPFv9r8uvPhaOGIvxv/LWzztvfG8U7Hcadf2r58mhuYCw8DUjPg+AAsvLYQ9bclPZw58fwEJpybIGo31XMqiuYvmqZzZpcJNSZgXLWkhx+RsZHpOr7etnr468Zf6H2kt9o2HyJlGWquBF8Rbc+MGWJpkXw2t6OFI4qbFIeZvvKMdkXyUpSAbMa8Ks/Dn+Pl55eibfam9j/Vz8wgkUhga2qL231vo72DckDOlPPqgwHzusY7GsN+ub1ohl9WSUhMQLu97TDz4kwAwMJrCxEaFYq9j/eq/bvv5NgJrcq2gq2pLfwH+eN+//uwNrbOtD4pZqhSRf55kNd9j5VlksrswTiJRIKg4UHQ1lAuh3z77W1hufK6yul+nyWSi4iNQJmVZWC/3B5xCXEq2+SUe/0H7x8AkGVXXNtkLcbXGJ/NPaJfqZBhIXyb8E0osfb622uVJdqCvgTBZokNKq2thDmX58DnPx8svLYQ1TdWh1QqFQ3MyrM7/O0ru9+feG4ixp4ZK+wfW20spNOkKgdP5SQSCU53OY23o9/CwsACGhINIetUWj4Hk2dPGv2vuDR2XEIcmu5siinnp2DE6RGpnu9XexL2BMtvLsePuB+Yf2U+Ou7vKJRSU6QqSEoikcDBwgEWBhYAxBOwEqWJQqZGRfIy1Gb5zFRmyVXcVr5QeeEe+l3Eu3RN3Lj86jLqbasn3ONlVrk9QJbxaIT7CKXtMy/OREx8DA4EHED7fe3RZm8b/PPwHwDA+4j3mXb97JAoTURAaAASpYmYdWkWAHF5+8xSqmApYTkrzp+VEqWJWO27Gn4f/X76HE/DnqLo4qJYeWtlJvYs55Jntvco5oED7Q+gaemmwr7kpVApZ1EXFFtArwDKmpf95Zngejr3VNq2028niv5VFJaLLEWTGWPiY7DuzjpcDb4qbAv6EgTXda4ot6ocOh/oLLqXAJI+A5P7VSUFs1uLMi1Uble8j2u8ozE23d8krKcnUK5o/qKoU7IOmpRqgnza+YTtV0Ku4HHoY0THR8Njs4foOVtKwfbJxSXE4cEH2feQwGGBMNAxSPOx6eVh44HpntNF22wL2Cr9rbQo0wIj3EYI6wuvLcyyPhEREVHW+D3uBIlysTNdz0BfSx9bW2zF3f53Mb76eFH5l5iEGHQ60ImlBEggD16xMrLK5p5kjLWxNR4NfIQBlcWZihrZN0pX3fk9bffgUo9LwnrlIpVTTB2uWNLyzfekcpbDqgxDH5c+6FepX5qvnZ0U3xO+x35XOYiljvx1H3t2LNW2BtpJDyeOPj0K43nGotlnWUWejUBOPiBT1lz1LG95Ca6rIUkP0p5/eo5339+hzZ42qLetHkotL4VN9zYJD9vKFyoPLQ0tAOpLc/xKlYtURhWrKir3Jf955AWKgUeqgpCkUqlQGmXrg63Y+mAr5l6eq9Qus1x8dRF7H+/FtAvTcPvNbVGWi+efnqs8pmC+gsKypZGl2r/PtKpQqAKeDUkqV2NpaInDHQ6jkIHqGbDHnh3DleAraLKjCW68vpGha+dkqgZ+M4uNiQ2u9LqSaruCCwqqHEwmSo1i2dqBxwfCfrm9qJx2ZGwk7Jfbo+P+jtnRPRH5wEZNm5roW6nvLykjTDmLka4R9rWT3ed9if6iMqB+1OlRiEmIQdCXIJz775yw/UnYEzz6+AgzLs4QtskzSckFhAXgdOBpYX1CDfFkBXX0tPREA7ryDCadDnQSDaLKhXwNEbJMHQg4kOK5w6LC8Dj0MQBxSaKcYuTpkRh2ahhKryiNCecmYJffLhjMMVDKEiLPxKHqs1KeOfH5p+fCoGXfI31hMt9EKWAkIEyWpaOsmep7mgJ6SeX2XCxdUEC/gBBYFxgemObX5bHZA2dfngUg+/2qK7eYEf+r/T9Rmd6/bvwFw7mGaL0naZLNnXdJk3PSWo4wJ5p5cSbKrSqHZTeXCeUSU8q6/LOKGRfDpBqTAKR/os6vFJsQi6U3loqyOK72XY2Bxwei4pqf/943/ux4vPn+BkNODsHN1zdRb1s9IcA4L7r7XhaIqip7ZH3b+plazpEyl/x9QNGE6hOybaJlSpN/fsT/EGV57HSgE/od64fOBzoL2048T8oEnlLGspZlWiplxvwdtHNoJ8rWr6rMoOLP8HCHw6Kg17TS19bHi6EvsKTBEgDAtZBrov3y+6nLry7DaK4R5l+Zn6bzvv3+FvGJ8dDR1PklJRJdLF1E6w7mDkptJBKJKEt4XKLqyS5ERESUczFIiiiHq1uyLiInRaJrha4oX6g85tWdh31t94keAu/y24VN9zalcBb6ncgfiMtnBP/uNCQacC/qLqwXMiiEzS02Y3Xj1TDLZ4aJNSameo582vmwoN4CrGu2TjQrKidLkCaI1utvq5/h9NZyijO+FN+Lmu1qhojYCLTdm/XlCH2CfETrtYrXAiCbgdjAtoFSexsTGwDAqRenhG0PPjxAkcVFsD9gP86+PIvn4c/R60gv4WF5taLVcLnnZexotQNjq41VOmd2aFuurcrU4j9bwiSnehz6GMbzjDH53GTsf7wf+efmx8GAg6I2ijP6l99aju6HumOSzyS1AUsZpfggedS/o0T7FLMKKZa7VBwozAxNSjWBfUF7dHLqBECWYaNZ6WaijHsTa0yEb19f5NfNj4CwANTcVBPHnx9H1Q1Vs+xnk53iEuJQZ2sdAFBbYiCjqlhVgXNh5xTbxCTE4MzLMym2IUpu1sVZKLUiaQBiw70NeBH+QshYJ5VKceL5CQR+DsQuv11ISEzAat/VGHx8cLYM1suDpEqalPzl16acQ/E7xj8P/xEF0QSGB+Lgk6TP63vv74mOHXpyqGj9j/N/wH65crZOfS19hIwM+elAPHlQeWxCLGpsqiHaFx0fjWJLiqHYkmKIiY/B/oD9KZ4reXYlr81e6Zp8kBVefXmFEadGIPhrsHBvG/JNXFpwx6MdkEqleP7pORISE1IMKJZnuWy3rx2KLCqCggsKYuP9jUiUJooGTYGke87SBUur7JtiWXQnCycAECa4OK9xxn+f/0v3621k3yhLsppMqjkJUZOjMKbqGGFb8slnillz5ZORciN5cOLI0yOFe+jmpZtnybW6VegGICnTZ040+9JsjDg9ArW21BK27fbfDSBjA92K7w3uG9xx9uVZNN+VNT/n7Pbs0zMce3YMGhINlVlqdLV0MbTKUKXt6ckeQ5nvSvAV/O/S/5Tez5wLO2Nu3aybcJSawoaFUat4LZjomYgCOD1tPAEA2x5uw6eoT/j847MQ3Pzq6yuMOzMOUqkU2x5uU3neeiXriYKiHC0csdx7ORrbN8bJziez8BXlLBoSDVFw0eWel1Msp+daxPWnr2VpZIl2Du1U7nv44SEAoP+x/ohPjFfK3K/O62+vAcgmA/+K7F9NSzXFSPeR0NLQwmDXwRhTbYzKdrVL1BZ+VgcCDmDno51Z3jciIiLKPAySIsoFks/kcbVyxZfxX0Tb+h3rh0uvLoGIQVLKtDW1saPVDhQxKoI/PP4AAPSv3B+hY0Mxp84c+HSTBdxYGVmhg2MHLG24FEHDg7C91XbsbbsXvn19oaulm50vId2SP/S++OoiPDZ7oPuh7uh+qDs+RHzAow+P0PlAZ0zxmYJO+zvhSdiTNJXLU5z1HxAWgLV31gqz03+FyNhInHwue6C1uvFqjKs2DqOrykqjaGtq40Rn8WBO6YKlMazKsDSff86VOQAAO1M7uBd1R0enjjmmXIS1sTV8+ymXllNMP58XHAw4iIjYCMy5Mgdt9rZBZFwkWu1pJQQqXQ+5jiKLlWcsA+pT6WeU4uBj8jKT8lIwRfMXFZUEykiWldolaittq2ZdDQCwvul6hIwMEWY4tijTAssaLsPNPjcxp84cVCpSSWXGvPKry/90f3IqxVJKWVmSrINDh1TbJM+IQpSaqRemqtzu+84XN1/fhMZMDbTblzTIoDVLCwOPD8Qq31XosL8DHn149Ev6GRkbiYjYCPz3RRbcUKJAiV9yXcqZkmcvdF3nKmRlkmcIUEfV91XFTC4AYKxrjC8TvmSovLU8k5Rcv6P9EBAqy4Ck+F799vvbVO+hTr4QD6JefHVR7b+9X1Uac8K5CVh6cykqrK4gZD1N7nTgaZx6cQqlVpSC1iwt/HFe9h1IVWaX4sbFheXP0Z9FGUo1JBp49/0dam2phT3+e4T7IXXvA+YG5tjVehdOdDoh3D9b5U/KcDz+rOoynZdeXUKF1RVUZv5Sl7Uqsyyot0A06KoY6KUY6JNXnrckSBOgIdFAIUPVmUgzSh7Q9j3me44pF5ucvIzi62+v8ee1P/H80/NM+f2qCgx79fVVhs+bE91+I5skUs26GpwKOalsM8VziijTCgCsv7s+y/tG6tXcVBN/nP9DCHzf1HwTpnpMxT8t/8nmngHHOx1H0PAg0Xt+l/Jd4FLYBdHx0dj3eB/+DfxXdMzCawtx7NkxtVmTT3c5LTpfyQIlYZXfCsc6HUNDu4ZZ80JyKMX7hSJGRTDEdYjKdofaH4KlkaXKfWllaWSpcnLfZJ/JeBH+AsFfg9N1Pvm9hzyoO6tJJBIsbrAYcVPisKLRCrWTsSQSCZZ7LxfWFbOlEhERUc7HICmiXEpTQ1Npm+dmz2zoCeU0HyJkM8Ky6qFnbtXRqSPejHojyiolV6tELTwY8AAPBz7EztY7McxtGGxMbNDJqRPalGuT4RJZ2aFWiVq41uuaUipqeVmyWZdmocXuFtjxaAdmX56NnX47UXZlWQw9IZ7tGREboXRu+QM1uf7H+qPQn8p/b3EJcWkKukqvO+/uIC4xDkWMiqB/5f6YX2++KIhNQ6KBPW32oIBeAZzsfBJPhjxRShW+rOGyVK9ja2qb6X3PKvLSJ3nFj3jVGVK6H5IF/qSUrexz9Ocs6ZOqAJiqRasCSBpALahfUFSCMiNBUjta7cCsWrPgN9APHjYemOY5Dd523gBkaewVB48lEgmGug0VlWNMPkAM5M2Z2/KgDSBrMzwMcxuGVmVbpdjmwYe8W06FMl9KA8d3392F+wbl+xVFR54egedmT8QlZG1ph7iEODiscoDVYithln4JEwZJ/c4K6IuzJMozM1XfWF0p4AkAShUsJXx+pYVVfivoaOpkqI9lzMqI1tfdXYdyq8rJgv0UMhkFfw0W+ry+6Xp0cuqklCFJVVBP8qxNgCzLVM1NNSGZIYHT306ibG+ZHShy+oWsJOGX6C9C5qNezr0AALYFZPevt97cwvmg80rHqro3Sal0TfiPcEz2mYwLQRfQfl97vP3+FoDq8lpy7R3bw9s+6XeumKlp7+O9Kss89TjUAw8/PFTK/AVAVCIoK0gkEtztdxc1i9XEwfYH8Xrka7wf/R4SiCerdT/UPUu+2/yMzfc3Y/nN5ak3/H/Jf1/GusZqA+wySj6YnCBNyLH3nooZaceeGYuF1xZmynnzYtZWde6/vw9AVg5cHR1NHaXgm7V31uLcy3NISExQcxT9Sg1sG2BGrRlwsFAuJ/ar6Wvrw1jPWHSfYWloKQTaLbm5BMtuKT/HWXJzCYCk7IWKJBKJKPBVPunod6T4+aUh0UDfSn2Fz2cbYxvh/43sG2XK9ebUmaNye5cDXRAZl75yrPJMUhkJoM8qiv92siLrJREREWUdBkkR5THFlxRP94wMyjsSEhOEkhDMJJU+5QuVz1BAQ05U1bqqygdFAHD02VGERoYqbV/lu0q0Lk+HLZVKcfrFaRx/dlwpSAqQlZpS9DX6K0ouK4laW2qlWpIkJj4GkbFpf0hy8/VNAKqDQOTaOrRF+PhwYXZgYcPCwj4DbQN0dOoolBtRnPmlSD7IlBvceXcnu7uQaQJCA/C/y/9Tue/48+O49eYW3nx/o/b4/sf64+zLswj+Gqzyb/VnKQZJzao1C9tabsP46rKB02efngGQDTwqPhhLPpCcHoUMC+EPjz/gYOGAiz0uYrrXdKXMkimpW7KuymwRwV+DMer0KLz6kjdmtStmAJEHCWcFfW197G+3XxQEFzxCfL8lv/96H/FeGEQmUkddQGd6Bq0/R3/GxVcXcT3kemZ1S8ndd3fx6usrUZa+ipYVs+x6lPNpSDSwuP5ijK46Gkc7HhU+966FXBOV2pObU3sOTnQ+gZ7OPYVt8+rMU3v+zHj/1NTQxGDXwUrbP0R8EN0bXA25irjEOOhq6qKHcw9sb7Ud/7RSnU3DxtgG2hraAKD0fTtRmojWe1rjaogsC5LfRz9cDpaVufZ96wuzhWZYdVt8j/2zQr6GqHz/WNV4FTY224gLPS5AAgnCf4SrDPxoU66N0raUvjcee3ZMVFY4LUFSyXkW90TMHzHQ15JlliqyuAh2++3Gjdc3cC3kGpbdXCZkQwaSguLlFO/js0qFwhVwqecltCjTArpauihkWEhldpyMZs/NaJDVl+gv2PFoB3oe7olhp4al+dmPrqY4K7KqSXeZRfFeWNWEm+wWHR+tNCFj3d11Sm3S62PkR3yI/AAJJEoZ9/IaqVSKC68uAEg5SAoAjPWMMavWLOF7+aOPj1B3W12s9l2d1d0kBe8j3qPvkb5K2wvmK5gNvUmZ4nM5SyNLYaLjk7AnuBZyTam9z3+yzPBrm65Fv4r94GblBktDS0z3nA4AaFW2FUqYlMCc2nOUJs/9TuqUkJWolweia0g0sLD+QkinSRE0IghhY8Nwr/89aGtqZ8r1FDNsK07muvnmpqhdSiXE335/ix2PdmDsmbEAAOv8vyaTVHoY6hjifHdZUHpezRxIRESUVzFIiigXu9rrKox0xClfX319hb9v/62yfaI0URSIEP4jHO32tsP+x/uztJ+U9WITYjHjwgxMuzANUkihIdEQzZai35eVUVJ5ixOdTuBuP1lpquCvwSrLASRXfWN13H9/H6VWlELD7Q3RbFcz3HpzK9Xjjj07htffXuPSq0soubQkYuJjVLaTSqWouLYiSq0oleaH0fJZ8fIsPmmhOJBjpGsEs3xmeDjgId6NfochVYaozCxVskDJNJ//V2vv0B5A0iDj7Te388xs3F5HeqW43229+uA4QJbprN62erBZYgPbZbbw++gn2v/5x2dUXFMRMy6kLxW6PBDqbNez+MPjD3Qp3wV1S9YV/RsrZ14OBjpJQTTZOZOwkGEhBI0IEv7Ny3lv98ZfN/5Cx/0dhW1SqRR+H/2EbBS5iWIWNSmyvqSL4jWSp/v/EPEBMfExsFxkCbtldmrf94gA5ayMcs+Hpi8LRb1t9VBtYzWh7E1m+9tX/L3CVN8UdqZ2WXItyj1GVh2JP+v/iSalmuD96KSMLPLAIEU1bWoCAP7w+AN6WnqQQILmZZortZNzMM+cbBYrGq2AdJoUjhaOwraouCjRv72jz44CAOwL2gtBI5WLVMb13teVAo3tTO0wzE1Wvnn93fUI/hqMRx8ewfetL/4N/BeHnhwStZcHh/Q63AvhP8Ix+IRy0NbPkJdycS7sjHl15kFLQwtdyneBrpYuerr0RNH8RdV+Hv5R8w+UNiuttL2ebT2l5wq1itcCIAtoULyXevRRVmowPUFSgGxQdn7d+bA0tERsQiw67O+AqhuqovrG6hh+argoq8TWB1tFx/6KIClVVAV/fPqhnAUrrdbeWQvtWdo49/LcT59j6Mmh6Hygs7CuLqgwOj4ae/z3ICouCkBSv+W/Z3mgf1bQkGiggJ5sooBi8Ft2CwwPRFRcFIadTL0M+88Ew917dw+A7P1EMZMakPHguJzm+uvr8H3rCz0tPTQt3TTV9n94/IF1TcWBaJmVvYvSpsuBLlh/L6nUYQG9AqhiVSXDmRuzguLnb2HDwqhuXV2pjYmeiWi9gW0DuBd1x5qma3Cjzw28Hf0W07ymAQBsTGzwcvhLTKw5MUv7ndNNqDEBc2rPwb3+91TuL5ivYIYmealyvNNxuBR2webmmzG66miVbV5/e42HHx6iyroqQqZMADj78iysFluJPvNyYiYpAEJpwbCoMHyJ/pK9nSEiIqI0Y5AUUS5WzboatrXcprRdcYBWUcvdLWG5yFLItLDXfy/2Pt6LNnvb/FZpwXOb+MR4LLmxRGX5CrntD7dj+sXpQvYV58LOWZY+n3KXGsWSSlYUzV8ULpYumFRjUrrO4bLGRfj7S5QmCuV2VjZaicSpiXgy+IlSWZMuB7sIy2++v8Gkc6qv+d+X//A49DHefn+bpvehqLgoIUgq+cPnlCg+7JGXV7AxsREGXYa6DVU6Rt17aU6wucVmPB70GKOrjYa+lj6+x35H4OfA7O4WBh4biIb/NBQGZH6GYmaglIyuOhrxU1IP6nH620l0zrV31uLe+3uYfnE6ANmM/NSuGZcQJ/x8FQcXDXQMcK33NdiZ2sFU3xTjq48XZRpSlcnpVzLRM0Ex42KibY9DHwOQDW7Irbi1Ak5/O2HIiSG/tH+ZQfF3t6/tviy/Xhcn2Xub4mxYuYCwALTZK8vQ8SP+B0KjlLP1Ecmtu7NOadvQKkNR3KR4ukqTycnLfqaVVCrFjAszUpws8d/n/5SCFVyLuKYrqx3lfQY6Blhcf7Ha/eb5zAHIgs9fDnuJG31uKN03ArIAwS7lu2BLiy2Z2r+D7ZOyW0XGReL+h/vC+o3XNwBAKbOEe1F3pQyzxYyLCZ+pjz4+gs0SG5RfXR6u61xFJfzk3nyTZb1M/lkQEx+DQ08O/XRGInlw8JiqYzC+xni8HfUWm5tvFrVRN4g4q/YslduLGBVB+PhwITAKgCi4TN0x6TXUbSiu9045852qAfvsCpKyN7VX2qaqVGBa9T/WH4nSRIw4PeKnz3H25VnRurwEkXxZngW4z5E+aL+vPWZenIm4hDghG2DgsEBIp0kxptoYZCV5ILmq0pQAsOX+FlgussSAYwMw5t8xWV469mDAQdgvt0e7ve2UskbJOVk4CffuAWEBCP4ajFkXZ6HDvg44E3gm1WvIM/u6FHaBcyFn0b7We1pnetnN7HTi+QkAgLedd5r/fSZvl1nZaihtzv2XFJypr6WP16Ne42qvq9nYI/UUJ3xaGFjAWM8YZ7om/Rvc3WY3fPv6io5pWir1YL3fnb62PibWnIhy5uV+2TUb2TfC3f53Uda8rNr7hr99/0bfo31x++1tNNzeUNg+6vQopbY5MZMUIJuIKX+P4/gKERFR7vHbBEnFxsZi27ZtaNSoEWxsbKCnpwdLS0tUq1YNf/75J8LCwvLktSnvM9ZTHoCVlwFI7sjTI/ge+x0zL84EIAtOkFNMoU85yy6/XRh5eiTsl9sLZcaSk6c6l/Mo5vELeka5QT3besKy/GH1gMoDRG3kWYnkJtecjOFuw1M/d8l6kEgkKG1WWggcUGfxjcXodrAbLr+6jK/RX4VZz3feJpWJkwcvpcT/oz+i46NRyKBQpmUakPtfbdUl3nIiPS09lDUvCy0NLZQoUAIAsqR8WnR8tNoyHr5vfeH0t5PwkHztnbVYfWc1TgeexuxLs3/6mvKZ5wCwtOFSDHYdjAPtDii1m1xzMjQ1NIUHoinNKlQMRgj/ES4sB4YHwnGVIxxXOab4MCvwcyDiE+NhoG0gyhwFyAZNHw54iP+G/wdrY2toa2pjbp25mFRjkvC7yU7JZ9mqMvGcbFbtmjtrsrg3mSshMUHI8PVi6As0LtU4y6/5Z/0/8Xfjv3GkwxEAsof0io49OyYsf49JPVsf/Z6kUil2+8v+dmbVmoXx1cfj3y7/YlH9RQBk5ULGVhsrtO/p3BPfJiSVu9vRageOdzouOue0C9PQcndLYX3TvU0ouKAgfN/KBpGuBF/BxaCLwufvyRcnMf3idCGwT7FvQV+CIJVK8Tz8OaSQikpx9XJJOdsf/Z76VOyDgvqqS/YoBtVZGlkKQaby0iRydqZ22NZyG2xNM7fcsZ2pnRDw8z3mu8qsa3YFlLOjDakiDhxWDJJKbtCJQUrb7r2/h/2P94tKVQJJ/1aT/9tLK/m/YXnGU3MDc6XSaTta7RCWzfOZw0DbAH1c+qR4Xi0NLehr6wvrKd1na2toi+7X0iOl0k4dHTtiY7ONaF22tWh7dgVJdXDsIATBuxR2ASDLyPQx8iOuh1xH5wOdMeZf1cFGUqkUo0+PxqJrsvd1xe88fh/98PmH6pKr6jz88BCHnhxS+r6keJ9u/Zc1KqyugE33NmH7o+0AgPlX54uyWmR2lhB15APZ3tu9lQLLImIj0ONwD7yPeI81d9Zg0fVFwmdiVmm1pxWkkOL48+Nq27hZuQnP12ptqQWbJTaYemEqdvvvRv1/ZGWjbr6+iZW3VgoBTy8/v0TNTTWx6d4mnHpxCoBsklIDuwaicx96ckgIysztzgSeESbnOVkol6RUJ/kkvhfhLzDi1Ig8FTyWU0mlUtHPPz4xHvm08+XYiZUF8xXE6S6ncanHJaGPipP/ahWvBVtTW9QtWVfYJs9aSTmXuiCpg08Oip7RyKnKiplTM0kBSYHVz8MZJEVERJRb/BZBUk+ePIGbmxu6deuGkydPIjg4GDExMXj//j2uX7+OsWPHwsHBASdOnMhT16bfg6osFV9jlGelytP9A8Aq31W4GHQRQV+ChG1BX4LwOPQxH1DkQIqlzdSVoboaLJ4B5l7UPUv7RLmHhYEFTnQ6gSMdjgjBEslLRO1qs0uUAcA6vzVm1pqJLuWTAp/sTe1R37a+sD6w8kDYF0yaXT22+lilYKvktj3cBo/NHnBY5YDSK0rj9bfXmHJ+irBfcSY0IAv6USzB9+zTM/wb+K+sPwXt053JQt4/dRk6JtaYiNolagOAygwHOZV8wG7CuQlqAyl/lscmD9gsscGD9w+U9nXY1wF+H/3QeEdj/Pf5P/Q/1l/Yt/7u+hSzSUXGRoqCkhKliVjtuxr7Hu/Du4h3wvau5btiRaMVaFm2JZY0WAJAVgbnzag3wiDP7ja7caXnFXR07Ah15KVhAHGZFLvldnjz/Q0SpAkotaIUVt5aidiEWKXj5QNbZc3Lqvy709fWR37d/ML6hBoT8L86OSPoLvnAqaINdzcAgMrXnBv4h8qCJnU1dVHcpPgvuaaRrhEGVB6AQoaFAADtHNohYmIEJFD+u0hLSVP6PX368Um4Xx9ddTTm1Z2Herb1hKwKRfMXxYJ6CzCn9hx4FffCikYrYKSbVAorn3Y+0cCQ3KEnh4T33l5HZCW+ppyfgmsh11BzU014bfFC0cVFIZVKRe/riu/Xa+6sQYmlJbD+7nrhc7miZUVc6H4B65uuR9tybTP950G5n5GuUbrvnbyKe6X42Z2Z5FkeF11fhO+x32GoY4iIiUnfjxX/fckNcxuGqR5ThXXr/NawMbZJ8zU33d+ENnvbiP59NdnRBPOvzgegnBEoLaRSqRAklVImp5o2NfF94ndsbbEVL4a9wKdxn7C26dpUz1+liCyArUKhCime31DH8KczyhloG6gt79TBsQM6l++Mfe32IWpSFM50PYNz3c5lW3ZX+4L2CBsbhnl15wnBXTdf30ShPwuh2sZq2PFoBxZdX6T0HQaQBcktvrEYY86Mge9bX1ReV1m0f+yZsUrHqHL82XH4vvVFhdUVRIGwcvJsv4r3corPDEz0TITAKmNd418WFKGYie2fh/+I9qmaGKNqgDyzyLO6KXK0cMSzIc9En2luRd1SnFwglUrhvsEdQ04Ogc9/PgAA9/XuuBJ8Bb2O9MLVENkzmaalmqKMWRn4dPNBY/ukAP677+6qPG9uo1iGV1X5zpR4FfcSrS+9uRQLri5A+33ts/Rv4Hf3MfKjqKx6XGLWZm7LDPVt64sCn/S09PBwwEP49vWFuYEsQ6Xi52tZs7K/vI+UPrYFxEHw8hLjQV+CoKupK2yPiovChaALolK/csmfZeYk8iCp4aeGo9TyUiqzjBIREVHOkueDpF6/fo06derg/v37AGSzGD09PdGrVy80bdoU+vqymXIfP35EixYt4OPjkyeuTb8PxUxS8i+FqlL3v/v+TrQ++t/RoiCpKeenwGGVAyb7TEZEbITKAXHKHooPER+HPobxPGPU21YPC64uwIvwF4iOj8bLzy9Fx7hYuvzqblIO5m3vjaalxenH5Zl5RlcdDUCWBlvOLJ8Z8uvmF5XuKF+oPAoZFBKtK9LR1MGuNrswttpYNC3VFEsbLsVy7+VCiRVFb76/QURsBKz/ssbTT0+F7b2O9BIyr5x6cQrFlxbH6NOy/s27Mg+lV5TGH+f/AJA0ez491jZdixXeK7Cp+SaV+yUSCfa13Yc5tefgdJfT6T5/dimWXxYkdffdXbhvcEf3Q91Rf1t9PP/0XBRk9jPkWQbls9EVvfmeNOCgmBYdkJWWGXdmnNrzNt7RGKVWlBKCj7Y/3I6Bxwei7d62Qp8DBgeIZrsPdx8O6TQpbve9LRq409fWR/Vi1ZXK4ig68/IMhp4YivAf4aK/ueSGnByChVcXApANgvU50gcfIz8Ks87rllAOSsgNngx+gnYO7ZS29zkqyyqRGx6UqzL+7HgAstJ3KQWDZTUDHQOVM12ZSYoUxSbE4vab2/j79t9YfF0WmGyd31qUuSW5iTUn4nz388innQ8AMKnGJNQrWQ/e9t7Q0dQRfXbLPfv0DIefHBbWzfKZiYIxpJAFWSiWcQ75GgKpVIo/r/2JgccHAgD6HesnDCxbGVnBs7gnelfszVJ7pJbi3/KsWrKybv0r9VfXHIAsi2c583JY0yRrMxnKg2xOB8ru78ZUHQMDHQPM8JqB0gVLo09F5SxLWhpamO41HSPdR6KYcTHUt62vNpNUWqWUxSY1UqkU6++uF4JhUsuuZKhjiK4VuiK/bn7oaumm6d/u6GqjcbjDYVzvfR2exT1RNH9Rle8zKb1vpUYikYju2SpZVhKWG9gmZd/R19ZH3ZJ1hQkM2UX+c5NnSpt5aaZSmw8RHyCVSjHx7ETk+18+dDvYTfQeO+fyHKVjNtzbkOq1fd/6osnOJnBd56q2zZYHW7Do2iK1bb5Ef8G+x7JyxBUtK6Z6zcwSkxAjLI84PQL3398X1lVl0ZJPNrj77i5+xP3I1L5cCLqgtK2wYWHYF7THMLdhwjY3q5SDpBSfucgD4xTLaSZKE1E0f1HYmMiCKWuVqIVjnY5hcs3JACD6GeRGkbGRuBJ8RVQmL3nQU2pWN16Njc02ioLHJpybgD3+e7D5/uZM6ikpio6PxtTzU0XbfuZZSk7gVMgJlYokfWYoPitl+cacr3KRyhhaZSgA2WRO2wK2wnuuf6i/0K7pzqZqy6IqlmLMaeSTSMOiwvA8/Dkm+UzK5h4RERFRanJmXtVM1KlTJ7x9K5tpZ2Njg8OHD6NChQrC/rCwMHTo0AHnzp1DXFwc2rZti8DAQJiYmOTqa9PvQzGTVK3itRAQFoBVvqtQQL8Ajj47irHVxqJL+S7CjFO5O+/uiNYTpYkAgLlX5mLulbkAgH1t96F1OXGq+58llUrxb+C/cCrklOKsVFKWfED/W8w3nH15FmdfnsX4s+MxoNIApcFZO1PlkhFEilqWbYngEcHCAEtps9LwtvPG1ZCrwow9TQ1NdCnfBfsf78cMrxlYdXuVcHzyICm5BfUWiNaHVBmCqLgoGMxJ2wzwMy/P4Ev0F/Q+0huALPPdhVcX8Dj0sahdSZP0P9jLr5sfg6sMTrFNAf0CmFhzYrrPnZ2Sz6bb+mArAKDUilLwsPHAxR4XM3wNDYk4rj4wPFApy1dyKWVIuPhK1qflt5Zjc4vN2PN4j2i/vpZ+ujNSDHIdhJCvIQj5FoKjz44q7V9xewWCvwUrZd5LbuG1hZjsMRnuG2QZ+XQ1dXEt5BoAKJXOyC1Km5XGPy3/QXHj4nC1ckXbvUmz5rsf6q7ymERpIhISE6CtqY1vMd9w6sUpNLZvnG3ZHJJ7EvYEp16cgoZEA6ubrM7u7qBbhW7Y+mArerv0xuPQx7j++jqOPz+OCoUr5OiHufTrdDvYTamcUHozeiTPULej1Q6039deCPwAgIDQACy5uURYT5QmimZnA8DK2yux7eE2YX3ulbnY8mCL0vXkg8A5ubQF5Rzy8lqALKNinRJ1RIOZqpQoUAL+g/xTbJMZDHUMhWUNiYYQGDHVcyqmek5VdxgkEgkWN1iMxQ1kgY1pybo83G04lt5cmsEeK5t3ZZ4w4GaWzwy6WrqpHJF+hjqGaFa6GQBAH/oIGh4ETQ1NNNvZDA8+PBBKu2W0/J2pvqkwuL2lxRZsvr8ZNYrVyJLXlFlSynLz9vtbfI35inlX5wGQZc9VDKg5+OQgAGBolaFYfms5AFkm2NffXuP4s+PoVqGbEHj2JfoL9LX0oaulqzbzkHtRdziYO+BAwAF8jv6MMWdUl/yTkwd2edp4pvHVZtxUj6nY4590f++yxgUtyrTA6KqjERkbqdQ+IjYCC64uwPiz4zGu2jjMrzc/0/qi6vNN/vmr+NyknHk5VLasjEuvLqk8j2IQT1RclMpgLlVlKuWlGn2CfJAoTVT6XpVbDD81XBTct6HZhnQ/2yttVhqlzUqjWelmMFsovj8+/vw4KllWgmfxX/d3+jvoc6SPMOHJvag7WpRugSalmmRzrzJHZgdUUtaSSCRY5r0MHRw7wEjHCBKJBDWK1RCVqwcgZOqT6+zUGT/if6Bi4Yo5+v1TnklK7mPkx2zqCREREaVVzr2zyAQnTpzA5cuXAQA6Ojo4evSoKEgJAMzMzHD48GGULCkbbA0PD8eCBQuUzpWbrk2/F8VMUooDyv+7/D88/PAQXQ92BQClIKm06HSgU8Y7+P+OPTuGhtsbwnGVY6ad83dwLeQaHn54mGKb1Xdkg8NlzMrA08YTM7xm5OgvjpRzWBtbi2bcHepwCB/GfICFgYWwbWOzjXg7+i0cLBygp6UnbHezckvzdfJp58Nwt+Giba5FkmY7V7euLiy33tNaCJCSkwdIKZazUhek9TsqYVJC7T51D/nTIi4hKbtQ8veUqhuqpnr8009P0XxXc8y9PFe0XXGAccuDLei4v6NQRrFr+a6QQIIdrXeku7/5dfNjZeOV2N5qO7yKe6GBbQOlDBZHnh6BFFK4FnHF+e7nsdx7OebXnS/KsqSnpScEDgPAi88vEPItBABQumD6SkrkJNqa2phfbz7alGuD3W2SAjXkQXXJ1dtWD3bL7RAVF4X+x/qj/b72KWYH+9XOBJ4BANQrWQ/lzMtlc2+Azc03I3RsKNY1XSeUbfrrxl+ovrF6KkfS7yJ5gBQge8/LCGM9Y5zqcgp3+91Fm3JtAMgyACoOzodFhYkyegCyoCjFDHKqBpAlkAilShkkRWkxs9ZMlDMvh6UNl0JLQwtVrauqLav2q8nL7QGyTAaKmSrTI7VsTKPcRwkBVWnxNfqrqASSOnv994oyEvyqSUfyLI2HOxzGy2EvsarRKhTUL5jhzF/6WkmZqCyNLLGw/kI0L9M8Q+fMap2dOqvdd/31ddTZWke0TV56TVH5QuVxqYfs3jz4azCs/7LGgOMDMOuSLPNa+I9wWCy0EO6zX315pfJ6tYvXxvpm6zGnjnKGKnXy6+ZH1woZ+8xJDwcLB0RPjkYP5x7CtkNPDqHl7pYqA86+x3wXMoQuuJZ5z0V/xP0QJm4oThxRDPi70vMK/Ab6QVNDEz1degIAipsUx7Ve13Ci0wnh73X25dnC8aFRofgQ+UHpeqqCpBraNYSxrjFefn6pNPifFe69u4cRp0bgSdiTTD2v71tf0bqThdNPn6tgvoLY0kJ87+Hznw+8tnjhU9Qn1QeRSjHxMbj15pbo++vFoItwW++GayHXhExygCy4b3yN8XCwUP47zY02NNsAPS09bGy2Mbu7QulQzboanArJ3j/+bvx3ihnBL/a4iH9a/YP97fZjssfkX9XFn5J8sjLL7REREeV8eXoUfeXKlcJy9+7d4eSk+gucgYEBZs5MSpm9Zs0axMen/qAqp16bfi9aGloIHhGMl8NewtLIUm07+UOg1mXFmaE6OnZU+/BaKpViw90NGHpiKGLiY1S2AWQ3/vIsG+rIs3p8jlZOrU7qHQiQlURrXro56pSok2LbCoUq4EKPCynOhiZKiY6mjigQCpAFVshTYI+pNgaN7BvhTNcz6S5t9VeDv0Trt/rewukup9GqbCscaH8AUz1S/7s92P4gejn3wkyvmWhRpkW6rp+XpVbmIORriKjkR1qpCtB8+/0tzr48KyotkZylYdJn0ZGnRzDJZxJuvL4hbPsS/UXUfpffLsQmxKJ0wdLY0mILvk38lqHfr5GuEc53P49TXU6pzTDUpFQTeBX3wpAqQzCu+jg0LZVUjlJPS0+UuezfwH+Fh86FDAspnSs3aufQDqFjVf8Og78GIyouCj7/+SD4azCuh1zHLr9dAGSZ3XKC229uY9gpWRaQykUqZ3NvZCQSCczymUEikQglYwBZlrWO+ztmY88oJ5vmNS1TzuNi6YJOjrLJDZvub0JYVJiw7933d5h3ZZ7SMbYFbFMc9JdCiuuvrwMAahSrkSn9pLytaP6i8B/kLypflVMoZpJK7TtVai72uIiBlWVlKcualcU0z6R/xz1dekJDooH5dcVZcKpZV1N5LpP5JvDe7p3qNZOXC+vp3DOdvc4YiUQCTQ1NDHQdiNCxoRn+7FXMal1A7+cC1n61bhW6oZNT0iQyxeDRhdcWqj1uTNWkLE+OFo4qs6vJv/P7/OeDuMQ43Ht/DzMvzsScK0lBUN0rJGX+lF9bHhybFsc6HvvlJbZ0tXSxqfkmUdbEsKgw4e+5VdlWQgnAwM+BQpvMCMzd478H/Y72w8vPLyGFFIY6hqhZrCbqlpSVzu7l3EtoW71YdSFoxNHCEbf73sb57udR1boqvO29VZbgC40MxYcI5SCp5CXuAVm5z1ZlWwFIOdNuZpl6YSqW3lyKsivLZup5kz/LszW1zdD5Ojt1xpYWW9DHRVzuVF0GtdS8CH+BuZfn/nblrgccHwC39W5C1m+pVAqvLV649eYWqm+sLgqU9yjmkU29zBre9t74PvG7ENxIuU/R/EWxoG5SYOzxTuKyxLmpNKRSkNSX/1B2ZVlmPCMiIsrB8myQVEREBM6dOyes9+yZ8g1z69atYWgoe3AWHh6OS5d+PvNCdl6bfk/WxtYoUaCEyuxB8nJ8Tz7JZpElz76yvtl6jHQfKaz/0/IfmOczBwDEJcahz9E+WHF7BfT+pycEWgHAqRenhFkRdbbWQfWN1XExKGlmXmB4IA4EHIBUKsXV4KuieuKKM5woZfJMAHVL1lUqqZWce1H3X9El+o1ZGlnieKfjwsPl9FCceS8PIKhvWx/72+2HhYEFulXoJuy3M7XD3X7KD0c9i3tiQ/MNmOI5JdWZ/L8Tq/xWMNIxUru/8rrKsF9ujw13ZeURImIjcPrFaVG5vOQSpYmovC5pAOxK8BUcDDgIq8VWqLetnlL7sdXGor5tfbQq2wrnu59X2l91Q1VsurcJu/x24b8vqmfUtS7bGhKJRDSQmRlUZWqRD8gI/SualBkrLCoM6++uV3muvJSlzyyfGW71uaW0vfrG6rj1Jmm7YrBFTjHtQtKAtKoZ+9kt+b/HXX67kJCYkE29oZxAMTOf3BDXIZn6nuJt7w09LT2lQNRHHx/hR3zSw/mqRatiWJVhONj+IEoVLKV0HrN8ZqLP+UqWldJd/pQop1HMJJXRICkPGw+sarwKwSOCcannJUTERgj75P9WxlUfh+dDn6Nq0aroXqE7bIxt1J7v7MuzOPXilGjbt5hvmHFhBtbeWQupVIqgr0EAgKalmmJJgyUYWmVohl5DRmTGPfgUjykAgP/V/l+uuaeXSCRoWy6pXPEMrxmY4TUDAIRsYMnfU1uUaYGF9RfCp5sPljVcBjcrN+TTzic8o5F7+ukpTjw/Ibo3V7zX+bfLvxhXPSmbpzxo3yyfGTo5dYIEEjS2b6zU5zFVx2Ck+0ic6XpGKKeeHSbVmCRal5fdNtUzhbedLEjwwYcHwv7QyNA0lbZMSft97bHu7jrMvyoLWLTObw2JRIJ9bffhaMejGOqm/t9Q5SKVUdykuLCumHmudonasj6qyCRVq3gttZNX5KUON9zbIHrPyAqKE13SkqkuLRKliXj3/Z2wvrDewhSzv6SFpoYmulXophRYllqQ1MfIj6iyrgr+uv4XHn54KDxfrLy2Mib5TMpRmW+zwsMPD9HtYDfheay8DORkH1mWnVdflTPQVbGqgume09OVfS63SG/pasp5FL9nlDMvJ0ywNMtn9ssyZ2YGAx0DpW1Pwp5g5e2VKloTERFRTpB3RnqSuXbtGmJiZLMlDAwM4OrqmmJ7PT09VK2aNEDm4/PzKZCz89r0e1MskSX3NeYrOu7vKHxxVvzyoa+lj3za+VChUFIpSM/invg49iPyaedTOtfhJ4cByNL9e2/3RuMdjSGVSoUB7yU3lwgPfEqtKIXWe1rj38B/Uf+f+qLzLL6+GLEJsYhPjEf/o/2x5b5yiQ+Skc+oLFmgJAoZpJzBpKFdw1/RJaKftrLRSuhq6uJAuwNK+2xNbRE3JQ7Rk6PxbMgzuFi6iPb/1eAvlbN4ScZ/kD9WNVqlMjPgx8iPAIBTgacQEx8D59XOaLi9IRZeTZr17v/RHw/eJw1OBIQGiM5xOfgyWu1ppXTu4ibFcbvvbSyotwCnu5zG/nb7UdpMdUm6Xkd6oeP+jqi0VnkGPQC0Ltda5faMWt1kNWZ6JWXt1JBoiMo9ArK/v2u9ZBkRI+MisfTm0izpS07jauWKZ0OeiQZbX397jVpbagnrHfZ3UHt8XEIc1t9dj6AvQVnZTQDA+4j3wt+oYpnQ5AFvOYGqoMXUfkYsLZK3KWZfCB8XjjVN1mBeXeXsThmhp6UnmgyRfBAekN37n+h8Aku9l8KpkBOKGRdTatPJsRO6lZcFLpvqm+Jg+4OZ2k+i7KAYfOJqlfLzmbSyNraGWT4z0T2F4mCtnakdrvW+hs0tNguBFep4b/cWBSD8ee1PTL84Hf2P9cftt7dxNVhWum1IlSEY7j483Rldc5rJNSfjwYAHmFRzUuqNc5AGtg2E5Xza+eBo4SisO1o44sGABxhQaYCwrbBBYQBArRK1MNRtqBAQVjBfQaVzN97RWJTJVJGrlSvKmZfDkgZL4G3nLerHhmYb8N/w/3CowyFRJktAFuyzuMHin5rgkpkm1ZyEG71vCD+bp5+eApAFH8nvmRS/h8QkxKSYtTY132K+Ccvy4Cv5552xnjGalGqSrlKgisHHLcu0BAC8+f4G7yPeC9t1NHWw3Hu52nM0tGsILQ0thEWFwWiuETrs64DYhNg09yE9FM/7Nfprppxv0bVFQpneqElRGFNtTCpHpV3yYKtLweonDodGhgrvi6P+HYUKqytgja+s/OfXGNlrPfPyTKb1LSeqvrE6tj3cht5Heou2y//u335/q3RM3RJ1Mc1rmlASnCgnUQwwNtU3xQj3EfDt64urva7muklqxzoew1SPqaL7gxPPT2Rjj4iIiCgluetOIx0CApIG95ycnKCllfrMgooVkwZZFI/PTdem31t16+pY7r0cLcu0xNoma4Xt8jI5gKwkgJz8y4ZiOnN5oJU8m5QieVp8eTr5gLAAUYaJQ08OwWiuEY4+PSrM5mq4vSGi4qJE5xl7ZiwGHhuIPf57sPbuWvQ43AOvv71O92xBqVQqyswQ/DUYr7+9Ttc5crJXX14JswBtC9iKgqTkKcm1NLTQ0K4hZteajdIFVQcmEOUUg1wH4fvE76hTUvUMfi0NLehq6SrNKJ9Tew5GuI/4BT3MvayNrTHQdSB8+/qqDZh88P4B9P6nJwRfPvwoe3+Jjo+G49+OcF7jjC/RXyCVSjH+7PhUr9m6bGu8HPYyxZIrFQpVQCVL1UFRybkUdkm90U/Ip51PNCDapFQTlWXzqlpXRXXr6mrPoyq4Ly+wL2iPZd7L0tw+MjZSWF52cxn6Hu0Lr81eWdCzJFKpFPW21YPzGmdIZkhwJfgKAFmZDnVBedkp+SAlILtnUmf2pdkwW2iGvf57s7JblI0+/5AFSRnrGqOAfgH0q9RP5WzjjCpnXk5YHlNtDMzzmUOCpM/Uwx0OiwKOrfMrZyk11DFEl/JdcLrLabwa8SrVTKZEucGLz0llh1W9R2dEW4e22NR8E54Oeaq2TU/nnlhcfzF6u/RW26bI4iL4EPEBUqlU9P3dbb2bMPivmN0mN9PV0lXKcJ0b6GvrY02TNWhTrg1alGkBD5uk0lXtHdpDT0sPbkXdhG2FDQurPI+blZvK7Yq/d0Xy9+3h7sNxovMJ0eeHnpYebExsoKWhhSpWVUTHZXdwlJyuli7cirrBqZCTaLupvqkQtCEPwJEL+RoCAIiJj0F6KQaPPA2T/btU9XmXVvIJJ0BS9u4rwVfQ/1h/AMBwt+EIHxculOxTpZBhIQxxHSKs7/bfjdmXZguvM7NIpVKE/wgX1uXvHfsf7xdlik2rqLgouKxxwbizsuxMFgYW0NfWz5zO/j/nws4oYlREeBZ5JvCM6Gcut+r2Klj8aYFDTw6Jtg86MQj1tyVNzAz8HIgdj3Zkah9zEvnE1AcfHihlIdzrv1flz44ZQSknMzcwxwrvFVjacKlwj1apSCWVGW9zusalGmNGrRnY23av8Gzp9tvbzCpNRESUQ+XZIKmnT5MeUNnYqE9trqhYsaSZtE+ePMmV11b08eNH+Pv7p+u/Fy9epH5iyrEkEgmGVBmCA+0PoG+lvirbKA4myoOkqlpXRX3b+ujl3EuYUaeYlcq2gC0A4MbrGwCAdxFJs1yvv76udI32+9qn2teN9zdi1OlRwrr1X9ZYc2dNqsfJJUoT4brOFeVWlUNUXBR+xP2AzRIbWP9lrbKkSW4ilUqx5MYSFF9aHIBs1r+NiY3oIeuEGhMgnSZF5KRInOx8EpM9JueaUgX0e1PMAJOaM13PYITbCIyuNjoLe5S3OBVygqWhpcp9z8Ofi9b3Pd4H/4/+mHM5Ke2+30c/+H30w/Hnx1O9lqWhpdr3nRZlWgAA/vD4A5d6qp4NPNh1sCjjTla+hynOUFacfZ9creJJGZQ0JUlZGuqUqIOWZVtmTedyiOme09PU7s33N8Lybv/dAFSXdchMt9/eht9HP2FdPvgzoPIAdYdkK8UgPHk5wKNPjyq1S0hMwF/X/8KU87KyQ32Pqr53o9zpW8w39D7cG5IZEpRZKRucymhpmtS0LivLyNfLuRcm15yMgMEBCBsXhkcDH2Fz881KA+aKEyUGuw6Go4UjhrsPh0QiQX3b+ple/pQou3gUkwWzqAtayQgNiQZ6OPdIcTBPU0MTI6uOxOzas1M818Z7G3Eh6ILSPZucquxv9Gv1q9QPe9vuhZ6WHszymcHbzhum+qbo6dwTQFIQDaD+PX9JwyUqs2MkL0ntbeeN7a22p7lv46snTXJo79BeZcaq7NSyTEth4pedqR2alW6mtmT49IvTIZkhgd7/9PDX9b/SfI2nYU+x7/E+YT0mQRZkVaJAiZ/u99oma2FlZIUbvW+gcpHKmFNbXLKst0vvNAU+J8+UPOvSLDTd2VRN65/zJfqLKJPUleAr8PvohzZ728BtvZuoFJ+ikK8hSqXYLwZdhMEcA1GGs6wofWWoY4hXI17h9cjXcC3iirjEOIz+dzQ+Rn7EhLMT8OrLK/h/9MfgE4PVniN59qjOBzrj1RfZ95MnYU/gtdkL516ey/S+/2pHnh4RlsN/hMN7u7dof/t97YU2itnSnAs7/5L+Ef2swVUGY5jbsOzuRqYpY1YGF3tchIG2ASJiI1BpbaUsL7VKRERE6ZdnCzd/+pRUsqJQoZRLVMkVLpz0wCw8PDyFljn32opWrVqFGTNmZMq5KHca7DpYVPtaR1NH9EVZPhNVS0MLp7ucFh2rODtsTp056HqwK55+eoq77+6K0jeffXlW6bo/4n+kqX8fIj+I1k+9OJXmAc9jz44Jma0KzC+A+/3vC/vCosJgaaQ6SCC7vQh/gdffXsOruJfaNuf+O4eRp0cK68u8l0FPS0/0kFM+mzQ9aeKJcpu6JevmmBnQuYmNcdoCtAHA8W9H0fqMizOE93XXIq6IT4zHvff3VB6rKhuT3PZW2/Ek7AlcCruIgp/alGuDvW334sH7B7AztUPz0s0x8PhAbG6xOc19/hmKg1QplWfrX7k/Ft9YjKi4KMyqNQuTfGRlYOSzsPOyaV7TEPw1GBvvbwQgGwQx0jHC009PYW9qD4lEgmefnuHt97fCQLDiYEpsQmyWfCbdeH1DdC+jSDHAIyfpWr4rwqLCYJbPDOULlYfnZk+sv7ce3vbe8Lbzho6mDkK+heDo06MY9W9SwLhimaacZvqF6YiOj8bcOnMZlJ3Mu+/vEJsQCxuTpPde/4/+qLyustKAo6rZ/ZmpSakmCB8XjgL6BQAklXQy1TcVlX2QUwy4WNxgMe8rKc8aXW00zA3M0aRUk2ztR2HDwrjR+wZiE2LhsdlDab/8vgMArIysRIHJi+svhp6W3i/pJ6Xd4Q6HEZcYh3za+QBAlN1Z3e/LwsAC8VPise7uOiEbUXJ2pnY40Tl9JXrqlqyLVyNeobBh4RxZosjSyBJPhzzFy88v4VzYWbi3VFTRsiLuvruLY8+OCdtG/TsK3Sp0S1PQ15YHW1RuT15qOz16uvRET5eewvrY6mNF/1ZVfb6qUsJEOVBLXg4wsyR/xtb9UHfR+i6/XXC0cERsQqzw9/kk7AkcVjnAvag7Lve8DA2JBhKlieh3rJ/S+UsWKJmp/ZWT3wMvbrAYnps98c/Df/DPw38AyLKxppSFT51Lry7BNd4VfY70wdWQq7i47SKk09KXvV6Vi0EXUapgqV/+zPFgwEG02tMqxTZSSLHp/iYAsu8j/Sv1x+tvr5WyuBFR1tPU0ETJAiXx6OMjPPjwAMtuLst1ZYaJiIjyupz3rTmTREQkRWfr66ctFbBiO8Xjc9O1iRQtrLdQtH6um2zm1JmuZ1Ddujp2tVGdzh0QDzw2L90c3nayGUp1ttYRSukBwPJbywHIHsj1cO6Rof5Gx0cjLiEOXQ50wexL6mfZzrw4E813NRfWYxNicfLFSWF964OtOBN4Bk12NMHaO2ux7cG2DPUrM9kvt0etLbXUzuADZA9z5Ha23ok+FWWl9fS1kt4njPWMs66TRJSrja42WjSTfGiVoaL9ihmSklMMfB3kOgh3+t3BXw3+EgbOPW08hf0pDdTl086HipYVhWCKxvaNAQAj3EYAACoUrgADHQPUs62HF8NeoEaxGml8dT9HsYSsk4X6h8RF8xfFma5nsKPVDkyoMQF/1vsTADCgUs7MWJTZ1jRdg9CxoYicFIlnQ57Bf5A/1jVdhz1t98DKyAoAhEDpzfc349HHR8KxLz+/RGhkKLof6o5yK8vh5POTKq+RHn4f/VB1Q1VhkETx7w/ImtnsmcFYzxjTvaZjSJUh8LDxQDuHdkiUJqLl7pYYd2YcVt1eBZslNhhycojouE8/PonusXKKyNhIzLg4A/Ovzhf9zpPzfeuLI0+PID4x/hf2LntFxkbCbrkdKqyugK/RX/El+gvW+K5Bna11lAKkACAyLlLFWTKXPEAqLfS19fFi6Au8HPaSAVKUp+XTzocBlQfkiOBat6JuqGlTM9V265quE2W4zEsZFvISbU1tIUAKkGVG3dFqBzo7dUa3Ct3UHieRSNCvUj9ETIwQTfiyMrJC3ZJ1cbD9wZ/qTzHjYtDR1MmxgdfGesZwsUyaRGGWz0zY18C2gZD1LTl5qeVDTw5h2c1lKj9jAeBC0AUAQLPSzUTbFUtvZ1Tyn21ag8cVs1npauoKyymVYXoc+lhUPi+56Pho1NlaB9MvTAcAvPn2Rm1bQJZZeOCxgSi4oKAQoHY1+CoSpYm4FnJNKGV3JfiKUgAbABQ2yPxsfIpqFKuB0VXFWaQvBl3Ey88vRdsK6KV+r9PtUDeUXVkWV0OuCtsUy4b/jJPPT8JrixfqbasnbDv94jSGnBiC229u40lY5lSGUGXP4z0p7k8erGdhYAFXK9c8nw2ZKCdTLFv+PuJ9NvaEiIiIVMmzQVLR0UlfmHV00vbAV1c36Uvqjx9py4ST065NpEgxG1SNYjWEQei6JeviSq8rKGdeTu2xI91HolXZVrjT7w50tXRR37Y+AFn6blXsCthhYo2JqfbJ0cJRVApKT0sP+9vtByAr43cg4AC2P9qOKeenqB1kS55KG5AN1spNODcB9f+pj+PPj6P/sf7odqib8LAnOykOfF4Luaayza03tzDr0iwAQNNSTdHeIal0oauVK4oZF0PVolVz7ENPIsp+hjqGmFd3Hh4MeICZXjOxsN5C0QDEzT43UcasTIrnONn5JLpV6AaJRIIR7iPwasQrzK0zF3va7sGWFlvgYeORrsDYPW33IGBwAKoXq/6zLytDjPWMcazjMZztejbVchjVrKuho1NHSCQSjK42Gh/GfEAvl16/qKfZS0tDC2b5zJBPOx8MdAygqaGJPhX7wLmwsxCQ1PlAZ/Q90hc9D/cUHVtzU01Y/GmBrQ+2IiAsAJ0OdBLtfxL2BGFRYQBkDwjvvL0j7ItPjMfKWysREBogOkYeHCWXfIA4twR1dHTsKCwvu7VMKThK0fgz49XuS837iPeYe3kuPkUlZbWden4q/nfpf6J2o0+PRteDXdMckKWY/ehqcNJA08SzE9Fyd0skJCYgJj4GdbbWQfNdzfGHzx8//Rpykztv78B4njGi4qLwNeYrnn16huobq2PA8QFCJoetLbaikmUl5NfND/N85ljWcFk291qZralthsoQEdHPGVN1jGg9efB5jWI1cKrLKfRx6YO/G/8NTQ31Qe6Us3R06oh/Wv0DXS3dVNsa6BiIsryMrjoaZ7qeSXN2otyuatGqmFB9AmoWq4ll3stEA8qKWu5uieU3l6PV7lYYfmo4pvjIShX/iPuBH3GyZ6hRcVG4/fY2AGCqx1RYGFgAAPpX6i9k4s5OVkZW6OPSBwMrD8S70e+E7Z+jPyu1lUqlWO27Gg6rHFBxTVIW3Gsh1zDw2EDhudyBgAPw+c8HMy7OgOs6V6y+szrFPjz/9Bxr765FVFwU/ndZdn+oeJ+35MYSABAmO1SyrCQ6/lfcew93Gy56ZlhAvwCefxKXIB1QeQC0NbSxwnsFWpZJexBQ7yPpz0ilSJ6lyT/UHzHxMXgf8R4NtzfEytsrUWV9FZRbWQ6xCbGIjo/+qYkP776/w/wr80VlucJ/hGPelXlK35MUWRhYYJrnNNG2nPA3T/S7UwyI3eO/BzU31RRNjP5ZKQXPEhERUdrl2VF2Pb2kB0yxsbEptEwSExMjLKc1A1ROu7aiQYMGoW3btuk65sWLF2jRokWmXJ9ylvR+Qa9cpLIQvARAqTycvak9FtZbiBGnR0BbQxuTak6CpZEltDW0EZcYh/q29TGg0gCY6Jmg9tbaAIA5tedgYs2J+B7zHQ3+aYCgL0F4PPgxXn15BUD2QEAxeOjsy7OoWawmam+tjYTEBDhaOGKKxxRhdtblnpcx98pcnHh+IsXMBgCw2nc1mpZq+tMPl79Ef0FMfEyK5aVS8/lH0sMv+czHV19eof2+9hhVdRTaObTDlvtJ6eEn1pgompWop6WHZ0OeMUCKiNKkfKHyKF+oPADA0tBSCFBxtHDE9d7X4b7eHU8/PQUAHO14FFeDr2Le1XkooFcADe0ais5V2LAwJtSYAADoVqFbijPjVcmnnS/VwKys1rhU4586Tj7A8rtTHBRZf2+90n7535fcl+gvkEql6HG4B/Y/3o/IuEhUtKwI376+8N7ujfvv7+Nqr6twMHeAzRIboaTh9d7X0fdoX/xZ709hoEtO8W9IgtxT8s3Nyi3Nbf+8/id6OPeAg4WDaPuxZ8cw4tQIrG+2XmXJXqlUinIry+Fz9Gd8j/2OOXXmIDQyVAi8HuQ6CAX0CyAuIQ6LbywGAAxxHQK3oqn3TbF0y8EnB9G3Ul9oSjQx7+o8AIDPfz4w1TfFt5hvAID77++n+fXmRvGJ8ZhzeQ6mXRAPRl18dRGPQx8L68VNiqNrha7oWqHrr+4iEeUCC+svxJ/XZRkrvYp7YarHVOF788pGK2GkawQAWNdsXbb1kX4NDYkGNjTbAJ//fNC/surye3mVpoYm5tadK6yrK+cmhRTDTiUFy5/77xwSEhNQfnV5vAh/gYPtD6KYcTHEJ8bDLJ8ZKlpWxIcxH1SeKzPoauoiJiEGDuYOqTf+fxKJRPTvuYBeAXyO/ozQyFDRhBZAdt838PhAAMCrr7LnZQOPDRSCoLQ0tLC80XJ8jU4qCe771he+b31T7INieb/3Ee/x/NNzUenAy8GX0Wh7IyEIq2/FvrhzPGliQ0plyzOLVX4rhIwMwcfIjyiyuAiCvgRhle8qUZs5deZghtcMaGtqp/osUNFu/93Y1HyTaEJpWiRKE/Hf5//w+ttrYdvfvn8rZcCXQoqTz0+i04FOcLNyw79d/03X87taW2rh6aenCPwciLVN1wIA+hzpg4NP1GeWG+U+CnVL1oW3vTeu9rqKjfc2YqffTtQrWU/tMUT0ayhO/v4Q+QEfIj+g+6HueDbkGbQ1tX/qnAcCDqD1ntaY6jEVM2rNyKyuEhER/ZbybCYpQ0NDYTmtmZkU2yken5uurcjCwgIODg7p+s/Ozi5Trk05T0bLt5Q1Kyta39F6B5qXaY7AYYEIGBwAa2NraGlo4f6A++hSvgsW1luIlmVbikoodXSSZVIw0jXClV5XEDwyGCZ6JrA0ks0SC40KxfHnx4X23tu9cSHoAm69uYU77+5gy4MtsFtuJwzEWhlZKT1MUud04Gn0PdpXtO1bzDeMPj0af13/K8Vj4xLiUP7v8ii1opQo0Cm9FFPrfoj4gNtvbqP40uK4+eYm2u+TZYy6HHwZgKykkHtRd6Vz6GrpchYxEaWba5GkEhO6Wrow0TOBT3cf1CxWE4vqL0KTUk0wo9YM/K/2/3Cmq3K2PiLFkj9pten+Jmx9sFUoMXb33V1cf31dCKIZcGwAOh3oJARIAUD3Q93h99EPDbc3hM9/PqLz2ZvaC8spZcPMaSyNLFWWlFQ3w9vxb0dozNBAo+2NIJVKAQATzk5A4OdA1NpSC612t0JcQpzQfv6V+Sgwv4CQieDMyzNISEzApx9JGaVehL8AIM4IKh90A4A1vmsw6PgglfeLihkGzrw8gx6HeuB77HdhW1hUGO6+uyusKwZV5XaB4YGou7Uutj3YhtgE2eSXw08OKwVIAcDYM2NF679LFhAi+nnXel1DJ6dO+KflP6hVohbOdD2DVyNeYZDroOzuGv1ivVx64Z9W/4hK9/2OGto1ROUilQEAhQwKoaNjR/St2FepXUBYAN58fyPc37Tc3VLIQFrWrGyaS+D9rPPdz6O+bX3sbrP7p89hbiArBx4aFaq0b3/AftF6dHy0KEvUzTc3AQA/4lN/5uxt561y+7+B/6LUilJK20++OInrr68DAJwLO6Nq0aoAgMk1J6Nz+c6pXi8zaGpoorBhYRjqKD8fP9LhCAAIAQYF9QsqtZlbZy5qFKshlHpXdDn4Mp6EPUGJpSUgmSHBat+Us28BwIKrC2C33E74uQDAyNMjRffacguvLURUXBTOB51H9Y1JWZRvvr6JoC9Baq8x/8p8YQLTkaey1xgZG5ligBQALGqwCN72st9xNetqWN9sPb5O+AoXS5dUXxcRZS1Vk5uCvgQhIEx9ZrjUbLi3AQAw89JM+H30++nzEBERUR4OkipYMOlL0ocPaXtQ//59UgCDqalprrw2UXIeNh4AoPLBUnpIJBJM9ZgKQJYRSv7gSkOiIQraKWdeDttabhOyl2hramNDsw1YWG8hipsUF9ppSDSEGVVm+cyE8gKBnwNF103pgUARoyIqH4goUty/6f4m0eDgpHOTsPjGYoz6dxSi4qJEx91+cxu7/HbJAqn+HY2QbyH4FvMNz8PFab5V+efhP7BbZoeHHx4K2048P4FTL04J60Ffg9BkZxPRcd9ivgmz4Pa03ZPlD/aI6Pcxv958NC3VFPva7hO2FTEqgks9L2FU1VEAZJmCJtWchEpFKqk7Df3GOjp1xKnOp7Cq0Sqlfd8nfseu1ruUtqsqaaE4WPDo4yOceH5CtP/Zp2dq+6CtqY2TnU+icpHK2N5qe3q6n+18uvmgQqEKwnpj+8b4OOYjbIxtVLaXQoqTL05CY6YGVtxagfy6+YV9B58cxMrbKzHuzDg8/PAQE85NEAWa+b71hcWfFqKfpfz+RTE1/4GAAwBkM1wHHB+Av33/xtTzU9H1YFecenEKl1/JArcVg6QAYPuj7aIA84+RH0X3PPff3081AD236H2kN879dw7dDnVDq92tMOHsBKVSkuokL1FDRJRcVeuq2N5qO6zyWwEA6pasi2LGxbK5V0TZR09LD1d6XkHA4AC8H/MeO1rvwNqma0Xl1wBZ0NCV4CuibX/dkN17/IrstVWtq+J0l9NKmT/TQz7hb9/jfQj5GoJyK8th3hVZlk55mWu5SmvF9xTyoPZ3399Bldm1ZsO2gC3OdD2DY52O4eOYj2meYKhI/n0xclIkZteeDQ3JrxtGkEgkWNNkjZCR1b2oOxKmJqBp6aaidvLJGIrGVhsryzyvkKWssb0sq/D8q/NRdmVZIWBp4PGBkEqleBr2FPff38fCqwtF2V8AYOK5iWnu99WQpNLUt9/cRnxiPE69OAX3De7w3u4tTIAAZMH4516ew77H+zDh3ARh+4fID9j/eD+6H+oubCtsWBivR77G65Gvheet6jD7PFHOMKTKENQtWVdp+3+f//vpc36PSZqspPh+QkREROmXZ++aS5cuLSy/evUqhZZJgoODheUyZX7+S3V2XpsouWMdj+H++/uoXqx66o1TMc1rGhrYNRBlJEmLXi69UtyvIdFAv4r9sOzWMqV98hkSquhq6aZabufRwEcosjjpAdOpF6fQwbGDbJ9CWu7A8EA4FXICACQkJqDK+ioqzxcaqTzLLyExAU8/PUVZs7J4+fkluh6UlVWpsLoChrgOQZNSTdB4h7jM0y4/5cFk43nGAADr/NYs70REmcosnxmOdDyS3d2gXExLQwsN7BoIM/YVGeoYor1je0w4N0HlDOn2Du2xx38PpPj5h3j1besDkGUYSF4OMjfQ1tTG5JqT0W5fOwBAjWI1oK2pjY3NN6LO1jopHjvl/BRRFi1ANnsdkM1WVyX8Rzia72ourN9/fx+dnDqJgs93++9GCZMSQtk8APjf5f8BgJCNwX+QPz5EKE/6mH5xurB8+OlhIdhdbtS/o9DDuQfmX52PQa6Dcu2g/8vPL4Xl48+PizKemuiZiILvASC/bn6h7KCq7GFERESUMl0tXaVAp1olamHHox1wsnCCRCLBww8PhXuV5JwsnH5FNzOssGFhAMDyW8ux/NZyALJgnAk1JigF6SiW8wVkAeqff3wWSnYqkkCCkVVHYrLHZGGbuYG5kBETAO70u4OlN5dCU6KJl59fIvBzIKpbV8duf3FmrMKGhaGloZVtQTednDqhk1Mn3H13F1ZGViqDtJLfY+5qvUuYyKmnpYeAwQGIT4zHuZfncPz5caVMtQBw6MkhtNrTSliPS4zDpJqT8OrLK6H0qZx1fmvk084nZH1KiRRSeG32EgKnnoQ9gdt6N4RGhcJY11hU/jC5NnvbCMtHOx5F3ZJ1hfvtPW32oMfhHpjpNTPVPhBR9tHR1MHqxqtht1xcuaXF7hYoa1YWJzqfEE0oT4snYU8AALf73hbGMYiIiOjn5NlMUmXLJpUGe/ToEeLj41NoLXP3blKZCMXjc9O1iZIz0jVCTZuamTLjS0OigWrW1X66bnZKFGeDtXNoh4PtxRmkWpdtLVqXz5xSzAD1fOhzbGu5TdTOLJ+ZKL34rEuzoP8/fWy8txHBX5OCExUHfXse7qm2n8mzKQDAzIsz4bDKAQ23N1T64rPi9go03J6+wdyKlhXT1Z6IiOhXsTO1w7GOx4T1ns5Jn5mj3GVZyQy0DeBSOKnEw+IGi/FutHim+/ZW26Gtkfr9hIeNB+bXnZ/rMkep0tahLTY224j+lfpjYOWBAIDaJWojbGxYisd9if6iNDiWXitvr8SjD4+UZsIrBkip0mRHE9z/cD/FNueDzuPki5NK2/sd64f5V+ej5qaaou3xifGYdn6akKkqJ0upXLWqQdhu5buhaP6i0NPSE8rTEBERUcYsqr8IW1tsxbXe11DCpAQAKN172JnaYVH9Rejpov55Tk4yqLL6spqKmT9VCfkWAtMFqqsQFDIspLJso+IEw4qWFbGlxRZsbL4R57ufR8jIEGxsvhHtHdoLbSwMLLLk2d/PqGhZEYUMC6nc179Sf9F6e8f2ovUyZmXgaOGIqtbq78sUsz8BssD4y68uo/jS4ii4QJy93s7UDqe7nE5z35Of+/bb2wj6EqQyQKpJqSZK25qXbo4mpZqIJiSUNiuN672vo55tvTT3g4iyh62prcrtAWEBmHkxfYGOHyM/IjQqFBJIfknWRCIiorwuzwZJVatWDbq6ugCAyMhI+Pr6ptg+JiYGN27cENZr166dK69NlFspzv6yzm+tlCUi+cyKM13PABCnUrcztUOX8l3Q2yWpvI+2pjb2tt2LJQ2WAJDNwIuOj0bvI73x+ttroZ08SOp7zHdseygOtFI05swY1N5SG6dfnMb7iPdIlCZi5iXZl5p/A/9N02td22St6LUml95MXURERL9S41KNEfNHDM51O4eVjVYK2we5DoJPNx+8G/0Od/vfxQrvFVjVaBWKGBVRGtjo5NQJN/vcxKOBj1QGS61stBKfx3/G2a5nMa76uJ8qEZIT9XTpidVNVsNYz1jYVjBfQSyqvwgL6y0UBd4srr8YDuayMi6qSomoMt1zusrtUXFRmH15drr7+9+X/7Dv8b7UG6ogPy74azDiE+PxIvwFnn16Bu1Z2ph5aSY8NstKQkfERqgtFwMAn6I+YciJIai9pTai46PVtotLiPupfqYkpSCpkgVKKm2rZl0N9/rfQ9DwIBjoGGR6f4iIiH5HhQ0Lo2uFrjDUMRSCpOQ6O3XGu9Hv8GTwE4yqOgqGOobZ1Mv0qVOyDs53P6+0XSqVqgySOtftHKZ5TkPLMi1TPK+64KtNzTcBAP5qIC6JLJHIgqfyaefDvLpJwfPGusbIDQx0DLC37d5U21WxqiLKvPRtwjfoaOoAEGcOBWRBaitur1B5njJmZWBjYgPbAqoDH9TpUr5Lqm1cCrso/U24F3VP13WIKOe52OMimpdujj/ribP/fY35mq7z3Hl7B4AsUDK3fNYRERHlZHk2SMrQ0BB16iSVrti8eXOK7Q8cOIDv32U1fU1NTeHh4ZErr02UWykGC+XXzQ89LT0caHdA2KavpY+JNWTZD5qWaiqUoxtQeQAmVJ+Ayz2TshG4WbmJzm2gY4AOjh2USsEopjBfdmsZFl1bhGefnomuOanGJEinSTG66mgAsocl54POo+H2hrBcZInxZ8an+7X2rdRXWFY16NuqbCulbURERDmJjqYOapeoDX1tfWGbpoYmapWoJZSlGFxlMAa6DhQdA8g+5wHAxdIFjhaO+G/4fzjQ7gCGuw0X2rYs0xImeiY5ZgZ7VhtVdRTGVBsDn+4+sDKygoeNB3pX7K2UXXKKxxSlY/tWlN1XmOiZYJrXNPRyVl3meI//np/un7pzKtLS0EKbcm1U7uuwrwPsl9uj9IrSSvvqbq2L4kuL40LQBaV9CYkJsFxkiZW3V+J80HkcCDig1AYArgZfhdFcIyy+vjjVfqaFVCpFfGI83kWoD96qV7Ieapeoja7lu+Jk55OY4TUD7R3bwyyfmdpsB0RERJQx8vtJucb2jVHYsLBQYi038SruhTVN1oi23XpzS1QeWc7B3AHTvaYrBQSd6nxKWA4ZGYIpnsr3igDQsmxLfB7/GSPcR6jtT3GT4kLAfiP7Rml9GdmuddnWWFx/MS72uJhiuymeU3Czz03c638PRrpGwvO45D/vZ5+eqb1vdi7sDADY1WYXypqVFWW9L2smqwxhY2yDWsVrCdurWVdTynqvinV+a3gV90Jj+8bCNq/iXqkeR0Q5m4eNBw51OITh7sMxuWZSKdQDAQdgu8wWQ04MwZATQ5QCNuWkUikAwPetLBFD5SKVs77TREREv4E8GyQFAIMGJc2e2bx5M/z9/VW2i4qKwtSpU4X1fv36QUsrY/XWs/PaRLmR4iCrPKNEy7JJM+S+RH/B7NqzsbvNbtFDJF0tXcytOxc1itUQtvV06YkRbiNEQVaFDAvhYPuDsDe1V3n9199eY8yZMai8TvZFo7p1dURNjsL/6vwPAISgrOT+vP6nyu0AULdkXdHDDQBC2cPVjVfDQNsAqxqvEu3vWr4rypqz5CYREeU9F3tchKOFI452PCrabpXfCi3LthQFAJkbmP/q7uUIZvnMEDIyBBd7XER+3fyoUKiCaH/y2eRXe13F2qZrcabrGTwc8BCALDOVIkcLx5+aabrCWzaDvqB+QaxotAIBgwOwrOEytSWcG9g2wJ42e5SygQLA/oD9Ko/x/+iPm29uIjYhFsNODlPa/+rrK8QlJmWIUgxwV9TnaB/EJMRg9L+jU31dKfkS/QU9D/eE6QJTaM9KOUDPLJ8ZznU7h60tt6KhXUNM9ZyaKeWtiYiISD3FsmkhI0PQ0aljNvYm4/pV6ofXI5OynLtvSLrXa1a6GSSQoLp1deGZlKaGJlY3Xg1AVuq6donaqFmsJrztvGFlZJXitUz0TFLtz79d/4VvX1+ljFM5mUQiwciqI+Fhk/qk4ypWVYRAp7ff36pso5hJ1MHcQRTgZGdqB0AWpPB48GP80+of1Letj/l15+NGnxt4P/o9gkYEoXyh8knXLFIFgOz3mRJ5FtKjHY8ibGwYbva5yUxSRHmIloYWZteeDf9BSeOELz+/xMrbK7Hy9kpUXqsc/HT7zW1Y/GmB9XfXw/fd/wdJWTJIioiIKDPk6ae4jRs3Rs2aNQHISto1adIEDx8+FLX59OkTWrRogRcvZKW2TE1NMX686swwQUFBkEgkwn8pZYjK7GsT/Q56u/RGQf2C6OWinK2gomVFaEg00M6hHSyNLFM8j5aGFv5q+JcoyAoAGto1xLOhz3Cw/UFIIEspfq7bObXnUCR/EJIeJzufxPZW27Gg7gK4F3WHrqYujnc6DgDoX7k/IiZFiB54NC/dHFtbbk33dYiIiHID96LueDTwkdoBjIL5CuJ239u41/+e0ufw70Re9gQQzx4va1YWDWwboJdzL1gaWuJij4uoZl0NgCww29pYlpUzeZbKox2P4sGAB6le13+QvzDrfXTV0RhcZTCOdTyGO/3uQF9bH2XMymCo21Bc730dz4c+x+EOhzHVI2myRy+XXpBIJNjQbAMa2DZI02t1/NtRWH75+aVSebsnYU9E66pKMwKyjFMZIb/uGt812Hx/M75Ef1HZztvOW1hOnsmCiIiIsl7z0s2xo9UOPBvyDEXzF83u7mQKq/yqg5vGVRuHbxO/4XLPy6L7w36V+uFOvzuYU2cOtDW1cannJZzofELU5mcVNiyMSkUqZcq5crpSBUuJ1ve324/ChoWF9XLm5fBgwAN0Kd8FTUo1QUXLiqIJmgCgp6WH011OY1z1ccivm1/IJtrbpbfQRp5NflvLbZhXZx72tt2LWbVmIWFqAqTTpOhXsR/sTe2F7F0SiQQF8xVEFasqWfK6iSh7lTMvp1Q6FgA+R3/GsWfHEBUXJWwbcHwAwqLC0PdoX9x+cxsAM0kRERFlljw/+rBjxw5UqVIF7969Q1BQEJydneHp6QlbW1uEhobi7NmziIqS3XhoaWlhz549MDExyfXXJsqN1jdbj9VNVosGRv0H+eNC0AV0rdA1067TokwLfJ/4Hfra+tCQaMBY11ipDnjyQK3mpZtjuNtwLL25VO15w8eFw/ova0TGRQKQBVoZ6xljbPWxGFt9LBKliSlmGHC0cFS7j4iI6HfAB35ilYpUwr3+9xATH4NixsWgqaGJDc03QCqVqh28MtU3FZb/afkPipsUR2xCrLDNWNcYg1wHYe6VuQAAn24+0NHUQTnzcvDp7iM6V+NS4oyYAIQBGztTO4R8DRG2ywO2ihgVwakup3Dn7R3Mvjwbh54cStNrjYyLxPNPz1HaLKkkX/IgKcUHxnfe3sGV4CsY5qacgSo1cQlx0NbURqI0Ef2O9sPhp4expskarPJdpfaYvxr8hWFuwzD70mzcf38fNW1qpvu6RERElDESiSTXZ49KK7eibionDkgkEqWSzJR+O1vvRKW1lYT1AnoFUKt4Lez02wkAuN//vlDG8UiHIwCQ5uAxp0JOON7pOGITYlHOvBwAWcnx8TWUJ0evabpGaRsR5W1HOx7FgmsLsPWBeLJ0051N8UfNPzCr9iwA4slA7yLeQUOiIWTDIyIioozJ05mkAKBo0aLw8fGBs7MzAFkN3wsXLmDDhg04cuSIEKRkbm6OQ4cOoU6dOnni2kS5VfIHQOXMy2GQ66BMzyhhoGMgBCy1LttatK+zU2d0LS8OytLU0MSShkvg0y1p8FAxm0AP5x4ooF9AKBWkKuBJXYDU0oZL4VXcC+Oqj/u5F0NERER5lnNhZ7gVdRNl0kxpgEY+K14CiTAjXTHrUUXLiqLye7VK1EL1YtV/qm+KmQ8UZ94DsgCvTo6dlI4ZX1195ty77+4iPjEeJ5+fRId9HZTK532L+YYdj3bAarEVKq+rjBGnR+DYs2PpynYw48IM5J+XH3ff3cWq26uw4d4GhEWFofWe1gj+GgxtDW0Mdh2sdFwRoyLQkGhgqudUHGh/4LfOdkZERESZq225tqL1BwMe8F4ji1W0rIg1TZIClEz1TTG55mQMrTIUQcODoK2ZlMFUXlUiPRrZN0KLMi0yq7tElIc4WDhgS4stqGRZSWnf47DHAIB5V+bhwQdxRujKRSoLpTmJiIgoY36Lb1tlypTBzZs3sWvXLuzcuRP+/v748OEDTExMULJkSbRq1Qo9e/aEmZlZ6ifLRdcmorRZ5r0MhjqG2Hh/IyJiI9CvUj+1Dz/KmpcVlge7DsbJFydRskBJbGq+CQAwrvo4lChQAmXMyqT5+sPchv1UFgQiIiKi5GoWq4lTnU/BxdIFBfQLKO2PiovCwMoDcTrwNDo6ZiwTQ9NSTTGr1iyl0iNyqoLGR7iPwPyr80XbKllWwp13ssxQK2+vxNWQqyrP9/b7W4z6d5Ro26OPj4QyygAQEx8DXS1dYT02IRavvryCfUF7fIr6hOkXpwMAXNe5qrzGSPeRcCrkhJW3VwIA/qj5Bz5Hf1YKqiciIiLKLBubb0QP5x5ovEOWxbNkgZLZ3KPfg2IZcBM9E9iY2GCZ97Js7BER/U5m154N7+3eom1vvr1BQGgAJp6bqNS+Xbl2v6prREREeZ5EKpVKs7sTlHP4+/vD0TFpMMPPzw8ODg7Z2COiXydRmoiwqDBYGFik2O7++/vIr5sfJQuUxPn/zqOMWRlRdgciIiKinKb4kuJ49fUVZteajckek3/JNeMT42EwxwCxCbHoWr4rZnjNQIkCJbD0xlLMvTIX0fHRsDO1Q5+KfTDw+MBUz1ezWE1cDr4s2ta1fFdcDbmKl59fAgBej3wtynA1+vRoLL6xGAfbH8QfPn/AP9RfdHx16+p48OEBImIjAAD3+t/D+4j3wsPqT+M+iUoYEhEREWWVK8FXIJVKWdb3F5FKpfDY7IFvMd9wp98dZu8iol/O76MfnP52EtaL5i+Kjc02ov4/9UXtjHSM8G70O2aSIiIiyiQMkiIRBkkREREREeU9b769wZmXZ9DRsaMo01JWc13nCt+3vjjR6QS87b1Vtnn26RlKrygtrG9ruQ1zLs9BQFiAqJ2upi5iEmJSvF57h/boXqE7lt5cCtcirph9eTYAwDq/NUK+hSi139t2L9ruTSpxEzclDn4f/eCyxgUAkDg1Md3lVYiIiIgod5BKpZBCCg2JRnZ3hYh+U5IZ4u+byxouw7BT4qoTV3peQfVi1X9lt4iIiPI0BkmRCIOkiIiIiIgos9x/fx+XX13G4CqDUxx8uhp8FY13NIaLpQvOdj2L2IRYeG3xgp2pHdys3DD81PA0Xc9IxwjfY7+neXvwiGCMOzsOu/x2oYNjB+xsvRMAMPvSbBTNXxQ9nHuk6bpERERERERE6bXXfy8mnpuIwM+BKveva7oOfSr2+cW9IiIiytsYJEUiDJIiIiIiIqKcZOWtlRhycojS9j/r/YkxZ8b89HlXNVqFga4D8e77Oxx7dgzdKnT7pVm2iIiIiIiIiADA+i9rvP72Wmn7wwEP4VTIScURRERE9LOYR5aIiIiIiIhyrKL5i6rcXqdkHTSybwQAGF11NFyLuAr7jHSMsL3VdpXHdi3fFe9Hv8dA14EAAEsjS/St1JcBUkRERERERJQtupXvpnK7oY7hL+4JERFR3qeV3R0gIiIiIiIiUqdp6aawLWArlB/Y1HwTEqWJcC7sjN1tdmPno53o4NgB99/fh8dmDwCAVX4rdHLqhE5OnbDw6kKMOzsOANDZqTO2ttyaba+FiIiIiIiIKLkpnlNgoGOA5qWbw1TfFDMuzkBYVBiKmxTP7q4RERHlOSy3RyIst0dERERERDnNXv+9aLevHQAgcWoiJBKJynaSGbLt1a2r40qvKwCADxEfUHhRYQDAv13+RT3ber+gx0RERERERERERESU0zCTFBEREREREeVozcs0R4syLeBu5a42QAoAznc/j4nnJmJd03XCtkKGhbC91Xa8j3iPuiXr/oruEhEREREREREREVEOxExSJMJMUkRERERERERERERERERERESU12hkdweIiIiIiIiIiIiIiIiIiIiIiIiyEoOkiIiIiIiIiIiIiIiIiIiIiIgoT2OQFBERERERERERERERERERERER5WkMkiIiIiIiIiIiIiIiIiIiIiIiojyNQVJERERERERERERERERERERERJSnMUiKiIiIiIiIiIiIiIiIiIiIiIjyNAZJERERERERERERERERERERERFRnsYgKSIiIiIiIiIiIiIiIiIiIiIiytMYJEVERERERERERERERERERERERHkag6SIiIiIiIiIiIiIiIiIiIiIiChPY5AUERERERERERERERERERERERHlaQySIiIiIiIiIiIiIiIiIiIiIiKiPE0ruztARHnPx48fsWrVKmF90KBBsLCwyMYeEVFew/cZIspKfI8hoqzG9xkiymp8nyGirMb3GSLKanyfISKirCCRSqXS7O4E5Rz+/v5wdHQU1v38/ODg4JCNPaLciH9HRJTV+D5DRFmJ7zFElNX4PkNEWY3vM0SU1fg+Q0RZje8zRESUFZhJikRsbW3h5+cnWiciIiIiIiIiIiIiIiIiIiIiys0YJEUienp6jMImIiIiIiIiIiIiIiIiIiIiojxFI7s7QERERERERERERERERERERERElJUYJEVERERERERERERERERERERERHkag6SIiIiIiIiIiIiIiIiIiIiIiChPY5AUERERERERERERERERERERERHlaQySIiIiIiIiIiIiIiIiIiIiIiKiPI1BUkRERERERERERERERERERERElKcxSIqIiIiIiIiIiIiIiIiIiIiIiPI0BkkREREREREREREREREREREREVGexiApIiIiIiIiIiIiIiIiIiIiIiLK0xgkRUREREREREREREREREREREREeRqDpIiIiIiIiIiIiIiIiIiIiIiIKE/Tyu4OEFHeY25ujmnTponWiYgyE99niCgr8T2GiLIa32eIKKvxfYaIshrfZ4goq/F9hoiIsoJEKpVKs7sTREREREREREREREREREREREREWYXl9oiIiIiIiIiIiIiIiIiIiIiIKE9jkBQREREREREREREREREREREREeVpDJIiIiIiIiIiIiIiIiIiIiIiIqI8jUFSRERERERERERERERERERERESUpzFIioiIiIiIiIiIiIiIiIiIiIiI8jQGSRERERERERERERERERERERERUZ7GICkiIiIiIiIiIiIiIiIiIiIiIsrTGCRFRERERERERERERERERERERER5GoOkiIiIiIiIiIiIiIiIiIiIiIgoT2OQFBERERERERERERERERERERER5WkMkiIiIiIiIiIiIiIiIiIiIiIiojyNQVJERERERERERERERERERERERJSnMUiKiIiIiIiIiIiIiIiIiIiIiIjyNAZJERERERERERERERERERERERFRnsYgKSIiIiIiIiIiIiIiIiIiIiIiytMYJEVERERERERERERERERERERERHkag6SIiIiIiIiIiIiIiIiIiIiIiChPY5AUERERERERERERERERERERERHlaQySIiIiIiIiIiIiIiIiIiIiIiKiPI1BUkRERERERERERERERERERERElKcxSIqIiIiIiIiIiIiIiIiIiIiIiPI0BkkREREREREREREREREREREREVGexiApIiIiIiIiIiIiIiIiIiIiIiLK0xgkRUREREREREREREREREREREREeRqDpIiIiIiIiIiIiIiIiIiIiIiIKE9jkBQREREREREREREREREREREREeVpDJIiIiIiIiIiIiIiIiIiIiIiIqI8jUFSRERERERERERERERERERERESUpzFIioiIiIiIiIiIiIiIiIiIiIiI8jQGSRERERERERERERERERERERERUZ7GICkiIiIiIiIiIiIiIiIiIiIiIsrTGCRFRERERERERERERERERERERER5GoOkiIiIiIiIiIiIiIiIiIiIiIgoT2OQFBERERERERERERERERERERER5WkMkiIiIiIiIiIiIiIiIiIiIiIiojyNQVJERERERERERERERERERERERJSnMUiKiIiIiIiIiIiIiIiIiIiIiIjyNAZJERERERERERERERERERERERFRnsYgKSIiIiIiIiIiIiIiIiIiIiIiytMYJEVERERERERERERERERERERERHkag6SIiIiIiIiIiIiIiIiIiIiIiChPY5AUERERERERERERERERERERERHlaQySIiIiIiIiIiIiIiIiIiIiIiKiPI1BUkRERERERERERERERERERERElKdpZXcHKGeJjo5GYGCgsG5raws9Pb1s7BERERERERERERERERERERERUcYwSIpEAgMD4ejoKKz7+fnBwcEhG3tERERERERERERERERERERERJQxLLdHRERERERERERERERERERERER5GoOkiIiIiIiIiIiIiIiIiIiIiIgoT2OQFBERERERERERERERERERERER5Wk5LkgqNjYW27ZtQ6NGjWBjYwM9PT1YWlqiWrVq+PPPPxEWFpbp10xISMDDhw+xYcMGDBw4EJUrV4aOjg4kEgkkEgm8vLwydP5z586hW7duKFWqFAwMDGBqaory5ctj7NixePLkSea8CCIiIiIiIiIiIiIiIiIiIiIiUkkilUql2d0JuSdPnqBjx464f/++2jYWFhbYtGkTGjVqlCnXPHToEDp37oyoqCi1bTw9PXHhwoV0n/vbt2/o168fdu/erbaNtrY2ZsyYgYkTJ6b7/FnB398fjo6Owrqfnx8cHByysUdERERERERERERERERERERERBmjld0dkHv9+jXq1KmDt2/fAgAkEgk8PDxga2uL0NBQnD17Fj9+/MDHjx/RokULnDp1CrVr187wdb98+ZJigNTPiouLQ8uWLeHj4yNsc3R0RMWKFREdHY3Lly/j3bt3iIuLw6RJkxAXF4epU6dmej+IiIiIiIiIiIiIiIiIiIiIiH53OSZIqlOnTkKAlI2NDQ4fPowKFSoI+8PCwtChQwecO3cOcXFxaNu2LQIDA2FiYpIp1y9UqBBcXV2F/06fPo2lS5f+9PlmzZolBEjp6elh06ZN6NChg7A/NjYWf/zxBxYuXAgAmD59Ojw9PeHp6ZmxF0JERERERERERERERERERERERCIa2d0BADhx4gQuX74MANDR0cHRo0dFAVIAYGZmhsOHD6NkyZIAgPDwcCxYsCDD127YsCFevXqF9+/f4+jRo5g6dSq8vb0zFHz18eNHLF68WFhfsmSJKEAKkL3OBQsWoH379gAAqVSaY0ruERERERERERERERERERERERHlJTkiSGrlypXCcvfu3eHk5KSynYGBAWbOnCmsr1mzBvHx8Rm6duHChVGsWLEMnSO5LVu2IDIyEgBQqlQp9OvXT23bBQsWQEND9mu4fv067t27l6l9ISIiIiIiIiIiIiIiIiIiIiL63WV7kFRERATOnTsnrPfs2TPF9q1bt4ahoSEAWTapS5cuZWn/fsahQ4eE5R49ekAikahtW6xYMdSuXVtYP3jwYFZ2jYiIiIiIiIiIiIiIiIiIiIjot5PtQVLXrl1DTEwMAFmmKFdX1xTb6+npoWrVqsK6j49PlvYvvaKjo3Hjxg1h3cvLK9VjatWqJSzntNdDRERERERERERERERERERERJTbZXuQVEBAgLDs5OQELS2tVI+pWLGiyuNzgqdPnyIxMREAIJFI4OLikuoxOfn1EBERERERERERERERERERERHldqlHJGWxp0+fCss2NjZpOqZYsWLC8pMnTzK9Txmh+HosLCygp6eX6jGKryc8PByhoaEwNzfPcF8+fvyI0NDQdB3z4sWLDF+XiIiIiIiIiIiIiIiIiIiIiCgnyfYgqU+fPgnLhQoVStMxhQsXFpbDw8MzvU8ZkdHXA8heU2YESa1atQozZszI8HmIiIiIiIiIiIiIiIiIiIiIiHKzbC+3FxERISzr6+un6RjFdorH5wQZfT3Jz0FERERERERERESUlV6+fJndXSAiIiIiIiLKctkeJBUdHS0s6+jopOkYXV1dYfnHjx+Z3qeMyOjrAXLeayIiIiIiIiIiIqK86/3799ndBSIiIiIiIqIsl+3l9vT09ITl2NjYNB0TExMjLKc1W9OvktHXA2Teaxo0aBDatm2brmNevHiBFi1aZMr1iYiIiIiIiIiIKOeLi4vL7i4QERERERERZblsD5IyNDQUltOaQUmxneLxOUFGX0/yc2SEhYUFLCwsMuVcRERERERERERElDfFx8dndxeIiIiIiIiIsly2l9srWLCgsPzhw4c0HaOY/tnU1DTT+5QRGX09QM57TURERERERERERJR3JSQkZHcXiIiIiIiIiLJctgdJlS5dWlh+9epVmo4JDg4WlsuUKZPpfcoIxdfz8eNHREdHp3qM4usxNTWFubl5lvSNiIiIiIiIiIiIKDmW2yMiIiIiIqLfQbYHSZUtW1ZYfvToUZpSO9+9e1fl8TlB6dKloaEh+7FKpVLcv38/1WNy8ushIiIiIiIiIiKivI3l9oiIiIiIiOh3kO1BUtWqVYOuri4AIDIyEr6+vim2j4mJwY0bN4T12rVrZ2n/0ktPTw/u7u7C+oULF1I95uLFi8JyTns9RERERERERERElLcxSIqIiIiIiIh+B9keJGVoaIg6deoI65s3b06x/YEDB/D9+3cAstJ0Hh4eWdm9n9KiRQthObXXExISgnPnzqk8loiIiIiIiIiIiCirMUiKiIiIiIiIfgfZHiQFAIMGDRKWN2/eDH9/f5XtoqKiMHXqVGG9X79+0NLSyvL+pVf37t1hYGAAAHj69CnWr1+vtu348eORkJAAAKhatSoqVqz4S/pIREREREREREREBDBIioiIiIiIiH4POSJIqnHjxqhZsyYAWTm9Jk2a4OHDh6I2nz59QosWLfDixQsAsixS48ePV3m+oKAgSCQS4b/UsjllNgsLC4waNUpYHzZsGPbs2SNqExcXhwkTJmDnzp3Ctrlz5/6yPhIREREREREREREBDJIiIiIiIiKi30OOScO0Y8cOVKlSBe/evUNQUBCcnZ3h6ekJW1tbhIaG4uzZs4iKigIAaGlpYc+ePTAxMcmUazdq1Ahv374VbXv//r2w7OvrC2dnZ6XjTpw4gSJFiqg855QpU3D16lX4+Pjgx48faN++PWbPno2KFSsiOjoaly5dwrt374T2M2bMgKenZ6a8HiIiIiIiIiIiIqK0YpAUERERERER/Q5yTJBU0aJF4ePjg44dO+L+/fuQSqW4cOECLly4IGpnbm6OTZs2oU6dOpl27cePH+PVq1dq90dGRuLBgwdK22NjY9Ueo62tjQMHDqBfv35CFqlHjx7h0aNHSu2mT5+OSZMm/WTviYiIiIiIiIiIiH5eXFxcdneBiIiIiIiIKMvlmCApAChTpgxu3ryJXbt2YefOnfD398eHDx9gYmKCkiVLolWrVujZsyfMzMyyu6tpYmxsjN27d6Nv377YsmULrl+/jnfv3kFbWxvW1tZo0KABevfujbJly2Z3V4mIiIiIiIiIiOg3lZCQkN1dICIiIiIiIspyEqlUKs3uTlDO4e/vD0dHR2Hdz88PDg4O2dgjIiIiIiIiIiIiykqrVq3CwIEDIZFIsrsrRERERERERFlGI7s7QERERERERERERETZR0NDA4mJidndDSIiIiIiIqIsxSApIiIiIiIiIiIiot+YpqYmS+4RERERERFRnscgKSIiIiIiIiIiIqLfGIOkiIiIiCgvkEgkwn+kzMvLS/j5XLhwIbu7Q7lQXvg3xiApIiIiIiIiIiIiot8Yg6SIiIiIcj/FAJjp06dnd3eIiHIkBkkRERERERERERER/cYYJEVERERElLswK1TuNX36dAY0ZiMGSRERERERERERERH9xhgkRURERERERL8DrezuABERERERERERERFlHwZJERERERHlfcw4RcRMUkRERERERERERES/NQZJERERERER0e+AQVJEREREREREREREvzEGSREREREREdHvgEFSRERERERERERERL8xBkkRERER/V5u376NIUOGoGLFiihQoAC0tLSgr68PS0tLuLu7Y+DAgdizZw8iIyNTPZe/vz/Gjh0LFxcXmJmZQVdXF0WKFIGXlxfmz5+PT58+pblfPj4+6N27N5ycnGBiYgItLS3ky5cPRYsWRc2aNTFixAgcO3YMsbGx6Xqtffr0QalSpWBgYABTU1NUqVIFc+fOxbdv39J8HgCIi4vDtm3b0K5dO5QsWRJGRkYwMDBAiRIl0LFjRxw8eBBSqTTN/fqZ34FEIoFEIsHFixeFbbVq1RK2K/63efNm0bFeXl7CvrSW3jt58iT69+8PR0dHFCxYENra2jAxMUHFihXRv39/HDlyBPHx8Wk6V1plxjWlUin27t2Ljh07wtbWFoaGhjA0NIStrS06deqEffv2pel3pepnFh4ejvnz58PV1RVmZmbQ19dHyZIl0bt3b/j5+aV6rhkzZgjbZsyYofJ316NHD9GxPXr0UPq9fvnyBUuXLoWHhwesrKygpaUFiUSCL1++KF07LCwM8+bNg6enJywtLaGrqwszMzO4uLhg7NixePz4cao/izxDSqTAz89PCkD4z8/PL7u7RERERERERERERFno+PHj0pcvX2Z3N4iIiIgoAzw9PYUx3mnTpqlsExcXJ+3Xr59oPDil/yZPnqz2enFxcdKhQ4dKNTU1UzyHiYmJdPPmzSn2PSIiQtqsWbM092vdunUqz6PYRiqVSqdNmybV0NBQex4rKyvptWvX0vTzPX/+vNTW1jbVvrm7u0tfv36d4s8tI7+DtB4HQLpp0ybRsYp/I+fPn0/x9fr5+UkrV66cpuu0b98+TT/D1GTWNZ89eyZ1cXFJ9RyVKlWSBgYGptin5D+zK1euSK2srNSeU1NTU7p27dpUz5Xaf927dxcd2717d9Hv9cqVK1Jra2uVx37+/Fl07IYNG6TGxsYpXk9TU1M6YsQIaXx8fIo/j+T/xnIjLRARERERERERERHRb4uZpIiIiIh+D2PHjsXatWuFdSsrK1SpUgXm5uZITEzEp0+f8PjxYzx9+jTF8yQmJqJ169Y4cuSIsM3U1BReXl4wNTVFSEgIzp8/j9jYWHz58gU9evTAly9fMHz4cJXn69Kli+hcdnZ2cHFxgampKeLi4hAaGopHjx4hKCgoza912bJlQsYeOzs7uLm5QUdHB48ePYKvry8A4M2bN2jYsCEuXrwIZ2dntefau3cvOnfujLi4OACAvr4+3N3dUbx4cWhoaODZs2e4fv064uPjcePGDVStWhW3b99GoUKFlM6V0d/B4MGDAQAHDx7E27dvAQAtWrSAlZWVUtuyZcum4Sel7MKFC2jWrBm+f/8ubCtWrBiqVKkCU1NTREZG4unTp3jw4AHi4uIQHR39U9fJimsGBATA09MToaGhwjYnJyc4OztDIpHg3r17ePToEQDgjQLEYwABAABJREFUzp07qFatGi5duoRSpUql2kc/Pz9MnDgRERERsLCwQM2aNVGwYEG8efMGPj4++PHjBxISEjBgwAA4OTnB3d1ddHzLli3h6OiIW7du4fbt2wAAV1dXVKlSRelayY9V9OLFC4wYMQJfv36FkZERPDw8UKRIEXz+/BmXLl0Stf3zzz8xduxYYV1XVxeenp4oVqwYPn/+jPPnzyM8PBwJCQlYsmQJgoODsW/fPkgkklR/HrlWdkdpUc7CTFJERERERERERES/j8TEROmZM2ekT548ye6uEBEREVEGpJZJKiwsTKqlpSVkjdm8ebM0MTFR5bnevn0rXbZsmXT9+vUq98+fP180pjxhwgRpTEyMqM27d++k9evXF9poaWlJb9y4oXSu+/fvC20MDQ2lJ06cUPsaAwMDpbNnz5YeOXJE5X7FPuno6Ej19PSk//zzj1K75NmAnJycpLGxsSrP6efnJ9XX15cCkEokEumYMWOUMvXI+1ajRg3hnN7e3kptMvN3kJ6sUOk5Jjg4WGpmZia0K1GihPTkyZMq24aHh0tXr14tHTNmTJqur05mXTMmJkZaoUIF4TwWFhbSM2fOKLU7ffq06HoVK1ZU+/tX/Jnp6upKNTU1pYsWLZLGxcUpvQZHR0ehba1atdS+3mnTpqX4b1UVxUxS8r+hwYMHS79//y5qFxsbK01ISJBKpVLp1atXRZnevL29pe/fvxe1j46Olo4dO1b0b2fRokVq+6HYLrfSyOSYKyIiIiIiIiIiIiLKJaRSKbS0tJhJioiIKAXPnz/P7i4QZZg80xEAdOjQAd27d1ebLcbS0hJDhw5F7969lfZ9+/YNs2bNEtbHjBmDuXPnQkdHR9SucOHCOHLkCFxdXQEA8fHxmDhxotL5Ll++LCwPHz4c3t7eal9DyZIlMXnyZDRt2jSFVyoTGxuLzZs3o3Pnzkr7qlevjtOnT0NXVxcA8OjRI2zbtk3leYYNG4YfP34AABYtWoSFCxfCxMREZd9OnTqFcuXKAQBOnjyJmzdvitpk1u8gK02cOBFhYWEAABsbG1y/fh0NGzZU2bZAgQLo378/Fi5cmCOuuX37djx48AAAoK2tjVOnTqFu3bpK7erXr48TJ05AS0tWeO3u3bvYuXNnqv2MiYnBqlWrMGrUKOFYOWtra+zcuVP4fV64cAHv3r1L9Zw/Iz4+Hn369MGKFStgaGgo2qetrQ0NDVkY0MSJE4XvedWqVcOhQ4eUspvp6upiwYIFGDZsmLBtxowZooxeeQ2DpIiIiIiIiIiIiIh+UykFScXExGRDj4iIiHIeeUkrotzs27dvwrK5uflPn2fHjh2IiIgAABQqVAgzZ85U21ZXVxcrVqwQ1s+fP69URi6z+pVczZo10b59e7X7HRwchNJ1ALBu3TqlNg8ePICPjw8AwMXFBSNGjEjxmgYGBpgyZYqwvn37dtH+rHqtmeXNmzfYvXu3sL569WqVJQNz6jXXrFkjLA8cOBAuLi5q27q6uqJv377C+t9//53q+Z2cnNCvXz+1+x0dHYWgQKlUKpR1zGx6enpYsGBBim0CAgJEpfdWrFihFMioaM6cOTAzMwMg+zvdsWNH5nQ2B9JKvQkRERERERERERER5UVSqRTa2toqg6Tu3r2LqlWrZkOviIiIcpaoqKjs7kKOFhsbi9DQ0OzuRo5hbm6eYjBCdrG2thaWDxw4gIkTJ8LCwiLd55EHDQFAx44doa+vn2L7KlWqwMnJCY8ePQIgC5QqXbq0yn5t3boVffv2Rb58+dLdr+S6deuWapvu3btj8eLFAIDbt28jMjISBgYGwv4TJ04Iyx07dlSb9UlR7dq1heUrV66I9mXW7yCrnD17Vsh0ZW9vrzabU0685vfv30VBSb169Ur1mD59+gjBUap+/8m1bds21XO6uLjg1q1bAICgoKBU2/+M+vXro0CBAim2OX/+vLDs7OycYsAYIAvw69ixI5YvXy4c379//4x3NgdikBQRERERERERERHRbyqlTFKxsbHZ0CMiIqKcJzo6Oru7QJRh7u7usLa2RkhICIKDg+Hg4ICePXuiadOmcHNzS3Ng171794TlatWqpemY6tWrC0FSd+/eFe1r1KgRDAwMEBkZibt376JMmTLo3bs3GjduDBcXF2hqaqbxFYqlJdjfyckJhoaGiIiIQEJCAh4+fCg67vr168Ly+fPn8erVq1TPKZVKheWQkBDRvsz6HWSVGzduCMteXl656poPHz4UvtMYGhqifPnyqR7j7Ows/O0lJCTgwYMHKf5NOzk5pXrOggULCsuKmcMyU6VKlVJt87P/TuVBUsn/neYlDJIiIiIiIiIiIiIi+k1JpVJoamoiLi5OaR/L7REREcn8+PEju7uQo+no6MDKyiq7u0Gp0NbWxrZt29CkSRNEREQgLCwMCxcuxMKFC6Gnp4fKlSvDw8MDjRo1QrVq1dRmTVLMGmZjY5OmaxcvXlxYDgsLE+0rWLAg1q9fj27duiEuLg4hISGYPn06pk+fDkNDQ7i5ucHT0xNNmzaFs7Nzml9vsWLFUm0jkUhQtGhRPHnyBACUMqIplto8efJkmq8t9/nzZ9F6Zv0OssqHDx+E5ZIlS+aqayr+7qytrdP0s9PQ0IC1tbXw+0/+t5mcsbFxqufU1tYWllV9x8oMaSnVmNn/TvMSjezuABERERERERERERFlj8TERGhoqH5MzExSREREMgySorzi/9i78yA5zvs8/E9Pz707e+EGSAC8QQI8RJEAScuyKNmSLSuyZNmxrMS0HUe2S3YqcRLF1s9X+XYpdpwq+Sg7lUh2UpZKVhTZsiVFFCXZvEmQAAmABEDc12IXe87d9+8P5G2+3dM90z337D6fKhaxu3P0zPTM9Pv2836/3/Vd34VXXnkFjz32mKdNXr1ex1NPPYXf/d3fxdve9jbs2bMHX/rSlwJvo1wuu/9u1ppMJl+uVCo1/P3DH/4wXnjhBXzwgx/0hEzK5TKeeOIJ/Nqv/Rre8pa34IEHHsCTTz4Z6T6jtuxrtm2rq6uRbiNMULXWbrwGvSI//vHx8ZG6z3b2S/9lg/ZNWb9Da2FatbgEevM+XSsYkiIiIiIiIiIiIiJapxzHCZ3sNwzD0y6EiIhoPbJtu2fVQIgG4eabb8Zf/uVf4tq1a/ja176GX/mVX8Gjjz7qCV6cPHkSH/zgB/Ff/st/abi+HGSpVCqR7lO+XKFQCLzMfffdhy9+8YuYn5/H3/7t3+LjH/84Hn74YU9o6qWXXsKjjz6Kv/mbv2l5n9VqteNtk0MjX/ziF+E4Tuz/gnT6GvSK/PjlkM0o3Gc7+6X/smH75ijq1ft0LWBIioiIiIiIiIiIiGidahaSsiwLpmn2eYuIiIiGi2EYSCaTg94Moq4bGxvDe97zHvzWb/0WvvnNb2JxcRF/8zd/g7vvvtu9zCc+8QlcvnzZcz251deFCxci3de5c+fcf2/cuLHpZaempvD+978fn/zkJ/HMM89gYWEBn/70p932eZZl4WMf+1jLCm9Rts1xHM/j82/bli1b3H9fvXq15e3F1e5r0Cvy4z179uxI3ae8X166dCnSYg/btnHx4kX351b75ijp9ft0lDEkRURERERERERERLROMSRFRETUHENStF7kcjn80A/9EL797W+7wRVd1/F//+//9VzuLW95i/vvZ555JtJty5e7//77Y23XxMQEfuInfgLf/OY3kclkAAALCwt49tlnm17vueeea3nbR48edduKqaqKe++91/P3AwcOuP9++umnY213O6K+BkBvWr899NBD7r+/9a1vdf32e3mf99xzD1RVBXC9VdyRI0daXueVV15xqycFvf690o+2ff1+n44ShqSIiIiIiIiIiIiI1inHcZBIBE8TMyRFREQEmKbpafdFtNbNzMzgO77jO9yf5+bmPH9/5zvf6f77c5/7HOr1etPbO3jwIF599VX350cffbSt7brllluwd+/e0O3y+1//63+1vM2/+qu/cv/94IMPetrrAcD73vc+999f/OIXW95nt7R6DQAgm826/+5WS9Dv+Z7vcUOhb7zxRmA4q9u6dZ+FQgEPPPCA+/NnPvOZltf57//9v7v/3r9/f8Pr3yu9eO385PfpoUOHPO/BINVqFZ/73OcCr7/WMCRFREREREREREREtE7Zth26ktlxHFiW1ectIiIiGi6GYTAkRWvC4uJi5MvKLcg2b97s+dtHPvIRjI+PAwBmZ2fxG7/xG6G3o+s6/s2/+Tfuz48++ijuuOMOz2UWFhYibZNlWZidnQ3dLr9vf/vb+MIXvhD699dffx1//Md/7P78r//1v264zP79+/GOd7wDAFCr1fBjP/Zj0HU90vbquo7l5WXP77r1GgDAhg0b3H93qx3f9u3b8SM/8iPuzz/zMz/T82BYN+/zZ37mZ9x//8mf/EnTYNBLL72EP//zP3d//tmf/dm27rMdvXjt/Pbs2YO3v/3t7s8///M/3zSQ9Su/8iuYn58HcL1620c+8pGebNcwYEiKiIiIiIiIiIiIaJ1q1m4vmUyykhQREa17hmEgnU7Dtu1BbwpRRz71qU/hvvvuw5/92Z/h6tWrgZcpl8v45V/+Zbz44osArrcge/e73+25zMTEBH71V3/V/fn3f//38au/+qsN4aG5uTn8wA/8gNv2LplM4vd+7/ca7vPjH/843v72t+Ov/uqvsLKyErhdi4uL+OhHP+qGpCYmJvDII480fbzpdBqPPfYYPvvZzzb87dlnn8V73vMetwrW3r178WM/9mOBt/OpT33KDYU9/vjjePvb347nn38+9H5PnjyJ3/qt38Lu3bsbWvR16zUAgH379rn//sIXvgDHcUK3KY7f+73fw8zMDADg/PnzePjhh0OrO62srOAv/uIv8J/+038aivv8F//iX7gt83Rdx3ve857AFn7f+MY38H3f933uWOf+++/Hj/7oj3b0GOKQX7uvf/3rWF1d7cn9/N7v/Z7bgvDJJ5/Ehz70ITcIJei6jk984hP4oz/6I/d3v/7rv+7u82sRG+gSERERERERERERrVMMSRERETVnmiay2SxM00Q6nR705hB15JVXXsHHPvYx/NzP/RxuueUW7Nu3Dxs3boRhGJidncUzzzyDcrnsXv6XfumXcOONNzbczn/8j/8RTz31FL785S8DAH77t38bf/Znf4ZHH30U09PTuHjxIr71rW9B0zT3Ov/5P/9nHDhwoOG2HMfBk08+iSeffBKqqmLPnj248847MT09jVqthsuXL+Ppp5/2hLD+4A/+ALlcrulj/eQnP4l/9+/+HT7ykY/g13/913HgwAGkUikcPXrUDSABwPj4OP7yL/8y9P29b98+fPazn8WP/MiPoFqt4vnnn8dDDz2EW265Bffffz9mZmZQr9cxPz+PV199tWVloG69Bj/4gz+I/+//+//gOA7+4R/+Affccw8eeeQRFAoF9zIf/vCHPS3oorjxxhvx+c9/Hh/4wAdQLpdx9uxZfO/3fi927dqF/fv3Y2ZmBuVyGSdPnsThw4dhGAZ+4Ad+INZ99Oo+0+k0PvvZz+K7vuu7cO3aNVy9ehXvfOc7ce+99+K+++4DABw+fBivvPKKe53Nmzfjs5/9bF8rBu7fvx833ngjLl68iNnZWezZswfvfve7sXHjRnds9uCDD3oqbLXjkUcewe///u/j4x//OADgy1/+Mnbu3IlHH30UN954I5aXl/Gtb33LU+Hsgx/8IH7hF36ho/sddgxJEREREREREREREa1TDEkRERE1ZxgGcrkcQ1I08uTwjOM4OHXqFE6dOhV42XQ6jV/+5V/Gr/3arwX+PZFI4Itf/CJ+4Rd+AX/2Z38Gy7KwuLgY2N5ucnIS//W//lf8xE/8RMvtsiwLx44dw7Fjx0Iv+4d/+If46Ec/GvYwXf/23/5bLC4u4rd/+7fxxhtv4I033mi4zPbt2/H5z38eb33rW5ve1vve9z4888wz+Kmf+im89NJLAIDTp0/j9OnTodfZvXs3brjhhobtFzp9DW6//Xb80i/9klud6+jRozh69KjnMvv27YsdkgKAd73rXXjqqafw4z/+426g6Pz58zh//nzg5btRdahb93nnnXfiqaeewoc//GEcOnQIwPVgmhyMEu6//358/vOfxy233NLx9seRSCTwp3/6p/jQhz4EXddx9epV/NVf/ZXnMj/+4z/ecUgKuB5onJ6exr//9/8exWIRmqbha1/7WsPlVFXFz//8z+MP//APQ8eHawVDUkRERERERERERETrlG3bSCQSgX9TVRWWZQEAqtUq8vl8PzeNiIhoKMghKaJR9h/+w3/Ahz70ITz++ON45plncOTIEZw7dw7FYhGJRAJTU1O488478c53vhOPPfYYdu3a1fT2kskkPvWpT+Fnf/Zn8T/+x//AE088gYsXL6JUKmFmZga333473vve9+KjH/0oNmzYEHo7n/rUp/Cxj30M3/jGN/Dcc8/h2LFjuHDhAkqlEpLJJDZs2IC9e/fi3e9+N37sx34MmzdvjvyYf/M3fxPvfe978Rd/8Rd48sknceXKFaRSKdx66634wR/8Qfzcz/0cJicnI93Wvffei4MHD+LrX/86vvSlL+Hpp5/GlStXsLKygkwmg02bNuGOO+7AgQMH8J73vAcPP/xwQ9ik26/B7/7u7+Jtb3sbPv3pT+Oll17C3NwcqtVq5Oen1eM9dOgQvvSlL+FLX/oSnn32WczNzaFSqWBiYgI333wz9u/fj3/2z/4Z3vOe9wzVfd5+++04ePAgvvCFL+B//+//jRdeeMFtM7d582YcOHAAP/RDP4QPfehDAwsEve9978PBgwfxJ3/yJ3jqqadw4cIFlMvlrrVNlP3UT/0UfuAHfgD/7b/9N3z1q1/FyZMnsbS0hEKhgBtvvBHf/d3fjX/1r/4V7rrrrq7f9zBSnF48yzSyjh075umBefToUezdu3eAW0RERERERERERES9srCwgGKxiMXFRTz44IOev33ta1/DbbfdhltuuQVPP/00vuM7vmNAW0lERDQ4R44cAXC94kyzoAcRERENv+AlQkRERERERERERES05gW127tw4QIAb7u9Wq3W920jIiIaBpZlIZfLQdO0QW8KERERdYghKSIiIiIiIiIiIqJ1Kigkdfr0aQDX2+0xJEVEROudbdvYuXMnzpw5M+hNISIiog4xJEVERERERERERES0TjmOg0TCO01cLpcBsJIUERERcL2SVDKZRCaTGfSmEBERUYcYkiIiIiIiIiKikeA4DgzDGPRmEBGtKbZtN1SSqlQqAK6HpCzLAsCQFBERrV8iUOw4zqA3hYiIiDrEkBQRERERERERjYTV1VW3BRQREXWHaLcnn/gVlaTYbo+IiAgNYWIiIiIaXQxJEREREREREdFIcBwHtm0PejOIiNYUEZKSTwDrut5QYYqfv0RERERERDTqGJIiIiIiIiIiopFg2zZP0hMRdZkIScny+TxqtRrbChEREREREdGawpAUEREREREREY0E27Z5wp6IqMscx0EikfB8vubzeVSrVfdn27aRTCZhWdYgNpGIiIiIiIioKxiSIiIiIiIiIqKRwHZ7RETd52+rBwDZbBbVahWqqgIADMNALpeDaZqD2EQiIiIiIiKirmBIioiIiIiIiIhGAtvtERF1n2i3pyiKW00qk8l4QlKmaSKXy8EwjEFuKhER0UCI70d/qJiIiIhGD0NSRERERERERDQS1ntI6vz58+v68RNRb4iQlKqqbju9TCaDSqWCROL69LGoJMWQFBEREREREY0yhqSIiIiIiIiIaCSs93Z78/Pz6/rxE1FvOI6DRCKBVCrlhqDkSlLpdBqVSoUhKSIiIiIiIhp5DEkRERERERER0UhY75Wk1ntIjIh6w7ZtKIriCUmpqgpN05BMJnHLLbfg+PHjyOVyME1zwFtLRERERERE1D6GpIiIiIiIiIhoJNi2DcdxBr0ZA7PeHz8R9YZot5dOp6Hruvv7crmMQqGAQqGAlZUV5HI5z9+JiIjWGx6LExERjT6GpIiIiIiIiIhoJKz3Skrr/fETUW+IkJSoJCVOABeLRUxMTAAAJicnMTY2xpAUERERERERjTSGpIiIiIiIiIhoJLDdHkNSRNR9QSGpRCIBy7IwNjYGALj77ruxceNGaJo24K0lIiLqP0VRBr0JRERE1CUMSRERERERERHRSFjvISm22yOiXrAsC6qquiEp27aRSCSwadMm96Twli1bMDk5yZAUERERERERjTSGpIiIiIiIiIhoJKz3Skrr/fETUW/4Q1KiktTNN9/suVwikWBQk4iI1iXx/acoCr8LiYiIRlxy0BtARERERERERBTFeq+k5DjOun78RNQbIiQFALquw7ZtKIqCvXv3NlyWn0FERLSeJRIJ2Lbtfm8SERHR6GElKSIiIiIiIiIaCeu93R4rSRFRL5imiWQyiWQyCcuy3HZ7RERE5CVCUkRERDS6WEmKiIiIiIiIiEaCaAG1Xq33SlpE1BvyZ2urkJSiKP3cNCIioqHCkBQREdHoW78zi0REREREREQ0UtZ7dRNWkiKiXhInftf7Zy0REVEYVVV5PE5ERDTiONolIiIiIiIiopFg2/a6rmLiOA4rSRFR1/k/V5qFpPgZRERE6xkrSREREY0+hqSIiIiIiIiIaCSw3Z7NkzJE1HPr/bOWiIgoTCKRgGVZg94MIiIi6gBHu0REREREREQ0ElhJqrHdnqZpA9oaIlqrmn3WrufPYCIiIlaSIiIiGn0MSRERERERERHRSGjWAmo9CGq39+KLLw5oa4horTJNk+32iIiIAjAkRURENPrW78wiEREREREREY2U9R6SCmq3VyqVBrQ1RLRWPffcc6GftTw5TERE6xm/B4mIiEbf+p1ZJCIiIiIiIqKR4jjOum715K8kZZomqtXqALeIiNaicrkcGpLKZDJs80lEROsWQ1JERESjjyEpIiIiIiIiIqIR4DiO56SMruvQdX2AW0REa43jOKhUKqEhqWw2i3q93uetIiIiGg4MSREREY0+hqSIiIiIiIiIiEaEXElK0zTPz0REnTIMA5qmhVbtYyUpIiJazxiSIiIiGn0MSRERERERERHR0DNNc92fkPCflNE0DZlMBrVajW33iKgrTNOEpmmsJEVERPT/yIsSGJIiIiIafQxJEREREREREdHQu3TpEubm5ga9GQOlKEpDJal0Oo2LFy9idnZ2gFtGRGuFYRjQdZ0hKSIiov9H13Wk02kADEkRERGtBclBbwARERERERERUSu2bcM0zUFvxkApihJYSWplZQW5XG6AW0ZEa4VpmlBVNTQkxXZ7RES03miahmw2C4AhKSIiorWAlaSIiIiIiIiIaCi99NJL7r8dx1n3IamwdnuO47CyCxF1hWEYyOVyoSGpVCoFwzD6vFVERESDI465AYakiIiI1gKGpIiIiIiIiIhoKF28eNENRrGS1PWTMv52e+KEjfx7IqJ2maaJfD4fGpLyfw4RERGtdfV6nSEpIiKiNYQhKSIiIiIiIiIaSrZtY3Fx0f33eq9e4m+3Z9s2stksLMtqej0GGogoKsdxkM/noSjKoDeFiIhoKLDdHhER0drCkBQRERERERERDaWZmRksLCwAuH7ifr2HpIIquGzduhV333130+s99dRTvdwsIlpDVFVtWkmKiIhovfFXkmq1QIGIiIiGW3LQG0BEREREREREFCSVSkHXdQBstwc0VpICroekWrl8+XKvNomI1hhVVZHJZBiSIiIi+n/kFteqqrKSFBER0YjjaJeIiIiIiIiIhpLczkIOSV28eHGQmzUwQZWkolhaWmLLPSKKRFVV5HI5hqSIiIj+H8uykExerzmhquq6X7hBREQ06jjaJSIiIiIiIqKhpKoqLMvC2bNnoes6EokEqtUqLl26NOhNGwg5NBaV4zgoFAoolUo92ioiWktUVcX4+DhDUkRERAGSySTb7REREY04jnaJiIiIiIiIaCgpigIAWFhYgK7rSKfTKJfL67YqkqIosR+7bdvYuHEjlpaWerRVRLSWpNNp3Hfffchms4PeFCIioqEjFnEQERHR6GJIioiIiIiIiIiGkggEGYYBy7KQzWbbCgqtFe1UkjIMA5s3b8by8nKPtoqI1pJMJuMGVMOs189gIiKi9TwWISIiWisYkiIiIiIiIiKioWaaJkzTRDabhaqq67YNlKIoTUNSly9fbvidaZrI5XIwDKOXm0ZEa8SDDz446E0gIiIiIiIi6pn1OatIRERERERERCPDMAyYpolMJoOJiQmoqjroTRqIVivXz5w50/A7wzCQSqVQqVRQqVR6uXlEtAakUqlBbwIRERERERFRzzAkRURERERERERDSVEUKIrittvLZDJ46KGHBr1ZQ6tWqzX8zjRNJJNJPPzwwzh16tQAtoqIhpnjOC3b6xERERERERGtFQxJEREREREREdFQElWT5JDUem21F4WmabAsy/M7UUkqm82iXq8PaMtomDSrRkbrj2VZ67Y6HxEREREREa0/nFkkIiIiIiIioqHlOA5M04Rt20in04PenKFmmiYMw2j4XTKZBABWiyE4joPnn39+0JtBQ8S2bYZPiYiIiIiIaN3gCJiIiIiIiIiIhpII9ViWBdu2sXfv3gFv0fBSVRW6rjeEpEQlKYAhKbrekrFarQ56M2iItFNJip8lRERERERENKoYkiIiIiIiIiKioZZIJGDbNiYnJwe9KUNLVVVomgbTND2/lytJERWLxYaWjLS+WZbFSlJERERERES0bnAETERERERERERDyXEcANdDUuLfFExVVSiK0rSSFFGpVBr0JtCQsW07diUpIiIiIiIiolHFkBQRERERERERDTVRSYrChYWk/JWk/JWmaH0pFosYHx8f9GbQEGElKSIiIiIiIlpPOAImIiIiIiIioqGkKAoAhqSiSCaTSCQSLStJvfjii/3eNBoilmWx/SJ5sJIUERERERERrScMSRERERERERHRUEskErAsa9CbMdTCKknZtu2GzQCgVqv1e9NoCC0uLuK5555r+/rnzp3DmTNnurhFNCiWZTEkRUREREREROsGQ1JERERERERENHQcx4HjOFAUZSQqSdm23fNtlMNOfqqqIpVKNYSkHMfx/KzrOgNnhGKxiKWlpbavPz8/j4WFhS5uEQ2Kbdtst0dERERERETrBkfARERERERERDR0HMdxT9yPQkjq0qVLuHLlSk/vwx94kqmqimw26wlJyc+hYFkWDMMY+ueTeovBGBLaqSTV7LOIiIiIiIiIaJhxNoSIiIiIiIiIho44cS+CPnKop1lFpUGp1+sDDR6pqopcLucJSdm23RB+ME0Tpml21GqNRh9DUiRYlhV7X1AUhUEpIiIiIiIiGkmcDSEiIiIiIiKioSNCHLquI5vNegJIw3hyvl6v97yNXbNwWDKZRCaT8TxP/goxqqpC13UYhoFisdjTbaXh1mlIahiDitSeoDBlK8lkEqZp9miLiIiIht/KysqgN4GIiIjaxJAUEREREREREQ0dEfDRdR35fH7o28P1o5JUq3Z7yWTS87uwkJSu66hUKj3bThp+rCRFQjuVpDKZDDRN69EWERERDbeVlRW8/vrrg94MIiIiahNnQ4iIiIiIiIho6IgQh6ZpDZWkhtEwtNuLEpJSFAWrq6tD/3xSb9m23XE1KFaTWhvaqSTFkBQREa1nDz30UOzvTiIiIhoeQxeS0nUd//N//k+8973vxa5du5DNZrFt2zY88sgj+IM/+AMsLCwM/X2fO3cOiqLE+u/WW2/t2eMiIiIiIiIiGjUiJGUYBnK53NCHenRd7+k2tgq1xAlJrayssIrQOuc4Tkf7gOM4Q9n2kuLzf05EwZAUERGtZxMTE4PeBCIiIurAUM2IHT9+HAcOHMBjjz2Gr371q7hw4QI0TcPVq1fx7LPP4uMf/zj27t2Lr3zlK2vqvomIiIiIiIjIS5y4V1UVuVxu0JvTUiKRgGVZPbv9J598sunfs9kstmzZAgA4cuQIgMY2WqqqIpFIYGVlBfl8vmfbSsOP7fZIaGdfkENSuq73YrOIiIiIiIiIeiLZ+iL9cenSJbzrXe/ClStXAFwv2f32t78dt9xyC65du4ZvfOMbqNVqmJ+fxwc+8AF87Wtfwzvf+c6hv+9CoYDHHnus5eU2bdrU0WMgIiIiIiIiWkvEiXsRkmpWRencuXPYvXt3/zYuQCKR6GklqZWVFSSTSaTT6cC/p1IpbNu2DefOncPx48dx9913B1aSEiGpbdu29WxbafgxJEVCu5WkFhcXAQAvvfQSHn744V5sGhEREREREVHXDU1I6iMf+YgbUtq1axf+9m//Fvfee6/794WFBXz4wx/GE088AcMw8MM//MM4ffo0pqamhvq+Z2Zm8Md//McdbyMRERERERHReiJCHIlEAtlstulJ/NnZ2YGHpFRV7WlIyjAMWJbVssWZXNXFtu3AkNTq6ioymUzPtpWGlwgbMiRFQqeVpAzD6MVmEREREREREfXEUMyGfOUrX3HLxqfTaXz5y1/2hJQAYOPGjfjbv/1b3HzzzQCApaUlfPKTnxzp+yYiIiIiIiKiYKK6iaielEyGr/PqZZu7qHpdSSqfz7sBl2ZBqQ0bNmDz5s0AGivEiOfTNM2ebScNN7HvdBqSalbZjUZLO5Wk0um0G8hkuz0iIlrreNxDRES0tgxFSOpP/uRP3H//+I//OO6+++7Ay42NjeE3f/M33Z///M//vOOJvUHeNxEREREREREFsywLyWTSDQc1O4k/DOPzRCLR07BWoVBAIpFAOp1uWrll3759yOVyqFQquHDhQkNIKpPJIJfL9Ww7aTQ4jsMTfgTg+mdt3MCcoiju5x1DUkREtNa1quRKREREo2XgIalyuYwnnnjC/fknf/Inm17+Qx/6EMbHxwFcr+j0T//0TyN530REREREREQUzjRNJJNJ7N+/HwDWfSWpTCaD2267DdlsFvV6vellFUVBvV7H0tJSYCWp6enpnm0njYZuhKQYslobHMdpq6pYIpHA2bNnGZIiIiIiIiKikTLwkNQzzzzj9rAfGxvDgw8+2PTy2WwWDz/8sPvzN7/5zZG8byIiIiIiIiIKJ0JS4uR9s5CUbdsDX+GtKErPt2Hz5s2eNldhstksKpUKNE0LDEnt3Lmzp9tJw03eT9vdZwf9fqPB279/P+bm5hiSIiIiIiIiopESPsPYJ6+//rr777vvvrvppKdw//334/HHH2+4/jDet2maePzxx3Hw4EEsLCwgm81i48aNeOCBB7B//35kMpm2t5+IiIiIiIhorRIhKUEO+/gr2Ni2Ddu2m7bk67VehqTk202lUi3bC+ZyOZTLZdTrdU+FGBGSuueee/DCCy/0ZFtpuCmK4rZKU1V14O8bGrxOKoIlEgmGpIiIiIiIiGikDDwkdeLECfffu3btinQdecXj8ePHh/q+L1++jHe/+92Bf5uensbHPvYx/NIv/ZLbxq+b5ufnce3atVjXOXXqVNe3g4iIiIiIiCguwzA8ISn53/4w0qArSTmO09P7lwNjyWQShmE0vXwqlUKpVEK9Xm+oJMVADKmqCl3XkU6n3bBUXP2onEajgSEpIiIiIiIiGiUDD0ktLi66/96yZUuk62zdutX999LS0kjeNwAsLy/jd37nd/CFL3wBf/d3f4fbb7+9o9vz+9M//VP8xm/8Rldvk4iIiIiIiKgf/JWkmlV/dhwHtm33Y7MCWZaFZDLZssJTuzRNcytRJ5NJ1Ov1ppdXVRWGYYS226P1TVVVmKbpVpKi9a3TsJuu63Acp6OKVERERERERET9kmh9kd4ql8vuv3O5XKTryJeTrz9M910oFPATP/ET+NznPocTJ06gXC5D0zRcvHgRf/M3f4Pv/u7vdi974sQJfO/3fm/sqk9EREREREREa1WckNSgK0kZhoFUKtWz2/dXkmoVxkokEjAMg5WkyEO8R1RVhWVZSCQSDElRV3A/IiKitYxBYCIiorVl4CEpefVjOp2OdB2xehIAarXa0N33tm3bcOXKFXz605/Gj/zIj+D222/H2NgY0uk0brjhBvzQD/0QHn/8cfz5n/+5e3B19uxZfOITn2j7sRARERERERGtJbZtI5F4c9qiWbhn0JWkdF3vaUhKVKoCrrfSa9VuL6ySVDqd7noVaxodorVeMpl0/21Z1qA3i0ZcL6voERERDQO2GCYiIlpbBl5jPZvNuv+O2sNe0zT331ErQPXzvjOZjCdMFeanf/qncf78efzu7/4uAOAzn/kMfud3fidy679WPvaxj+GHf/iHY13n1KlT+MAHPtCV+yciIiIiIiLqFrmSlH81t23bAw1JGYYRefFVO0SgBYgWSBAhKdFSTUgkEhgfH+/ZdtJwExXJulVJSlEULC0tYWZmpotbSaOGYTsiIiIiIiIaJQMPScmTc1GrQsmX62Ryb5D3LXziE5/AH/3RH6FWq8GyLDz++OP4l//yX3Z8uwCwefNmbN68uSu3RURERERERDRIzdrtOY7DdnsS0W4vk8mwPQi5NE1DJpNxQy2dhFscx4GiKDh27Bi+8zu/s8tbSv3U6WeEqExGRERERERENAoG3m5vw4YN7r/n5uYiXefq1avuvztZrTbI+xbGx8dx4MAB9+fXX3+949skIiIiIiIiWmtuvfXW0L8NQyWpXrfbExWhRLDl+PHjoZdXVRWmaSKfzzMkRS5/SKrTSlIAUKlUurR1NKrE50276vU6Q1ZERDTUeDxNRES0tgw8JHXHHXe4/z5//nyk61y4cMH99549e0byvmXbtm1z/72wsNCV2yQiIiIiIiJaSzZu3Oj+2181atCVpHRd73klKRGSEidpzpw5E3p50W4vn8/3bJto9ASFpNoNp4j9sFqtdnMTaQR1UpGsVqvh9OnTKBaLXd4qIiKizh09ehRA49iDiIiIRtvAQ1J33nmn++8jR45EWnn08ssvB15/lO5bJq+6Gxsb68ptEhEREREREa0Xw1BJKp1O9+z2LctqaDdYLBZDgwmi3R5DUiSr1+vIZrOednudvG8cx2FIiiK1AA1z6NAhlMtlnnwmIqKhtLS0NOhNICIioh4YeEjqkUceQSaTAXA9LHTw4MGml9c0Dc8995z78zvf+c6RvG/ZoUOH3H9v3769K7dJREREREREtFb5W170MyQVdD+9riQlt9sTHMcJbf0hKknlcrmebRONHlFJKplMdlxJSuikzRoNh04DSp1UkjIMA6urqwMNuRIREYWp1+sA2G6PiIhorRl4SGp8fBzvete73J8/85nPNL38F7/4RZRKJQDAzMwM3v72t4/kfQvf+MY3cPHiRffnd7zjHR3fJhEREREREdF6049KJI7j4Jlnnmn4va7rPa0kZZqmp5KU4zgYHx9HIhE8rcNKUhREbrcnWji2E04R77VEIhG6D9L64DiOG7prh2EYWFlZYUiKiIj6rlQqYXV1tellREiKFQ+JiIjWlqGYyfjYxz7m/vszn/kMjh07Fni5arWKX/u1X3N//umf/umGcvODvm9d16HreqT7vnbtGn72Z3/W/fnOO+/E/fffH3XTiYiIiIiIiNac+fn52NdJJBJ9Ocmu6zpWVlYafu84Tk/DIkGVpAqFQstKUtu2bevZNtHoEfuRqPzT7vtGhPZUVUU2m+3BltKosG0b6XQ6dkWxl19+GQBDUkRENDgrKyuBx/UyTdP6szFERETUV0MRkvr+7/9+fOd3fieA6wcd73vf+/Dqq696LrO4uIgPfOADOHXqFIDrlZx+8Rd/MfD2zp07B0VR3P+aVYjq9n1fuXIFt9xyCz75yU/i/PnzgZdxHAf/8A//gAcffBCnT58GcL1c5x/8wR9wBR4RERERERGta6dOnWq5Wtv/d0VR+rLCW9M0lMvlnt+Pn6j6I8vn89izZ0/g5UUbtTvvvLMfm0cjRg5JtVMByDAMpFIpJBIJZDKZHmwh9VMnLYRUVUU6nY69H127dg0AkEwm2W6PiIgGwrKslt8/bLdHRES0NnVWhqmL/vqv/xr79+/H7Owszp07h/vuuw/f9V3fhVtuuQXXrl3DN77xDVSrVQDXB9Cf//znMTU1NZT3fenSJfziL/4ifvEXfxG7d+/G3XffjY0bNyKVSuHatWt4/vnnceXKFc91PvnJT+K9731vVx4PERERERER0aiybTt24KlflaQ0TRvISRLLsgKrWRcKhabX4wkdCqKqKhzHabvdnmgvqes6K0mtcyIkFbeSVLFYxGuvvYZsNhvpJDUREVG3RfnuYiUpIiKitWloQlI33HADvvnNb+JHf/RHcfjwYTiOg29/+9v49re/7bncpk2b8OlPfxrvete7RuK+z507h3PnzoX+fceOHfjTP/1TvP/9729z64mIiIiIiIjWDtu2Y1clSSQSfakkpev6wCrnyIEnEXBpph/PB40mVVWRSCSQTCZhGAaeffZZPPTQQ5FDdSIktXHjRqyurvZ4a2mYqaqKXC4HXddjXa9areLYsWPYuXMnxsfH+XlFRER95TgOTNNs2tnFtm0YhuFePsjy8jJyuRxD40RERCNmaEJSALBnzx48//zz+NznPofPfvazOHbsGObm5jA1NYWbb74ZP/iDP4if/MmfxMaNG4f2vnft2oUjR47g2WefxTPPPINjx45hYWEBi4uLqFarmJiYwLZt2/Dggw/i+77v+/DBD34QqVSq64+HiIiIiIiIaBSJExJx2tErigJd1+E4Tk+rJ2mahkwm0/P78fOfmNE0rWvVtWn9ESGpfD6PWq2G1157Dfv3728ZvBNEu72ZmRnOaY2406dPd3T9ZDKJZDKJYrEY63qJRALnz5/Hzp07MT09zUpSRETUVwcPHkQul2t67GOaZmAlV9n8/DxmZmYYkiIiIhoxQxWSAoB0Oo3HHnsMjz32WNu3sXv37rZWIHXjvhVFwb59+7Bv3z589KMfbft2iIiIiIiIiNYj27axtLSEycnJ0Mv4A0qKouDYsWPYtGkTxsbGerZtmqYhn8/Dtu3IgZJe2LJlS8vLtApxKYrS97AXDQdRRUpVVbeFpGVZkfdpXdcxPj7e462kfjh//nzLtp3NiMBdXOPj46hWq6jX67j99tsZkiIior6q1WpIp9NNj4NFKBwIP642TTN2y1kiIiIavPijWCIiIiIiIiKiHrFtGwsLC5ieno58nUQiAcMwYrfpi0vTNORyudAT+uVyGYuLiz3dBgC49dZbsXv37qaXabXyXYSkaH0SJ/3K5TKmpqZivXdEuz0afeVyuaPPAVVV2wqMTkxM4KabbkKtVsPNN9/MkBQREfWVpmkwTbPp8Y8ckgrT6jaIiIhoODEkRURERERERERDw7ZtVCoV5HK5yNdJJBJ9OUlhGAYymUzoCf0HHngAly9f7vr9+levq6qKTCbT9DqtTuokEgkGE9YxsX+USiVMTk7Geu9EOWlIo6FWq3X0OdBuSKpQKOCuu+4CwM8iIiLqP13XYZpm0++fKMc7lmWxkhQREdEIYkiKiIiIiIiIiIaGbdvQNK1pJSR/5RNFUfpSSQpofkI/n893fKJkbm6uo+sLrU7qKIrCYMI6Jt5f9XodU1NTsfYFVpJaOwzDgK7rbV+/3XZ7AJDL5ZBKpRiSIiKivrJtG4ZhwLbtliGpVpVZ2W6PiIhoNDEkRURERERERERDI0pIyq9f7fYcx2l6Ql9V1Y5PlBw+fLij6wtRKkmx3d76JfaP8fFxFAqFWO8d0zTbqh5Ew0cETNuVy+WQzWbbum42m0UqlWLrTyIi6ivLsmBZFhKJRNPjH9M0kUqlmn5HsZIUERHRaGJIioiIiIiIiIiGhm3b0HW9aXUSf/u5Yakk5d+udszPz3clMMB2e9SM2D9uvvlmJJPJ2O8dsa+zItloy2QybVeCAoAtW7Zg8+bNbV03l8shl8vxs4iIiPpKtOhuFdIV7fZs2w79ruxHu28iIiLqPoakiIiIiIiIiGhoiNYXcQJH/aokJe5LPqHf7ao6pmmiVqt5ftdOaIrt9qgZsX/cfffdUFXV8965cuVK5NtRVZX70QjrNCTViUQigQceeIAhKSIi6itRSaoVwzCQTqfdQFUQRVFYSYqIiGgEMSRFREREREREREOjVeuLIOIExSBCUrquI5PJdO32p6ensby87PldOxWq2G6PmpmamnL/7Q9JnTlzJvLt+K9LoyWdTg+0daKiKAxJERFRX5mmGel7x7ZtpFIpmKYZeiyeTCYZkiIiIhpBDEkRERERERER0dBoJ3SRSCRgmmZPT1KIQJH/hL6maUin0127n1wu11BJqh1st9d/pmk2BNyG1b59+9x/+99zuq5HDtDJocZKpdLdjaSeG2QlKYGfRURE1E+WZSGZTLa8nAhJGYYRGihuZ3EHERERDR5DUkREREREREQ0NNo52SBO8vfyJIWmaW6goJeVpNLpNHRd7/h22G6v/0qlEi5dujTozYgtqIVk1PeSqqqo1WqwbRsvv/xyrzaReiSTyQy0khTAkBQREfVX1FbZIiRVr9dbHlcTERHRaGFIioiIiIiIiIiGRjuVpBRFgaIoPQ1J1et15HK5nleS6ldIiu32us8wDM8+uLCwMMCtic7/nrNtO3JVNlVV8a1vfQvVarUr+y31l6qquP/++we6DYqi8LOIiIj6xjTNWJWkGJIiIiJaexiSIiIiIiIiIqKhoapq7KoiiUSi5+0uxAmVXlaSchzHbevh/31ce/bsafp3Vm/pPl3XPeGiI0eODHBrovOHpCzLihWSOn/+PEqlUk/bXVL3WZYFVVX7fuLXtm1Piz9+FhERUTcdP368aetq8f3XimVZSKVSqNVqXV0QQURERIPHkBQRERERERERDY1kMtlWu710Oj2QkFQ3K0lZloVkMtmVqirT09NN/z6q7fYOHTo06E0I5Q9Jra6uDnBrogsKSUV9LyUSCeTzeVy5cqUr21Iul7tyO9SaYRhdC0jFqQZlWZYnJMVKUkRE1E31er1hwYGMlaSIiIiIISkiIiIiIiIiGhqiKlQciqIgk8n0NCRlGEbPK0mFnbRRFKUrty8b1XZ7586da1odYJAMw3BDUrZto1gsDniLoum03d7OnTtx6dIljI2Ndbwthw8fHsnw3ijqdkgq6utm23akCh5ERETtaBX2jlpJynEcJJNJhqSIiIjWIIakiIiIiIiIiGjgNE3DysoKVFWNtLpbDvgoioJUKtXzSlKpVKohJCXCU926D3FbvQ4w9bo9Ya8kk0nMz88PejMC6bru7hvlcrkn4bZe6LTd3u7du7G8vNxQUc22bTz99NOxtsWyrKENwa01V69exczMTFduK07o0l9JioiIqJvCjmMcx4HjOKhWq5HDuqqqMiRFRES0BnFESkREREREREQDVywWMTc3h0Qi0TJ0lEqlPG00olynU3K7PX8YoFthGBG4qtVqeOWVV7pym2Gy2Sw0TevpffTCxo0bsbCwMOjNCKTrunsSrVQqoVAoDHiLovEH/1RVjRySmp6exs6dO/HhD3+44W+XL1+O3T7Ptm1UKpVY16H2LC4uYsuWLV25Lf8+1ExQJalRCRQSEdHwC6sk9fLLL2NxcRHPPvts5HEDQ1JERERrE0NSRERERERERDRwpmm6wYxW7evS6TR0XXd/VhSl5yGpsHZ73Ty5L6pVra6ueh5fL2Sz2ZGs2OOvejRM5PYt1WoVuVxuwFsUjf85jROSGhsbQ6FQQDabbfjb1atXMTU1FWtbGJLqn25Wc4oTkgpqczSKrT+JiGi4iOPasEpSpVIJ58+fd9voRSFCUv5qmURERDTaGJIiIiIiIiIiooEzDAOWZUFRlJYnIvwhqTgnO9olV5KSwwDdPLkv7qNcLntO7vQiQJDL5VCv192fT58+PbQVmkaRYRgjU3XA33oxmUxGDkk14zhO7BChqqoMSY0gRVHYbo+IiAbq0KFDAMIrSWmaBsuyMDMzE3nckMvlUCwWI7fnIyIiotHAESkRERERERERDZyoJOU4TstKUnK7PXFivteBFFHlKU7FlLgOHjyIZDIJVVV7HiLwtyys1WpYXl7u6X2uJ6MUkvIHmboVkmpHLpcbyQpno6ibVfDYbo+IiAZNhP+bhaQAYMOGDXAcJ9Kx9vj4OMrlMr+niIiI1hiGpIiIiIiIiIho4EzTdE9oxGm3J05y9CMkpaoqFEWJHAY4e/ZsrPs4ffo0UqkUpqam+r5i3TAMrK6u9vU+4xqFllziJNoohaT8uhmSintSMU5FIhoecdvt+U9M8zUnIqJOtWq3J0JSDzzwABRFaTneANCXMQYRERH1H0NSRERERERERDRwopIUAExPTze9rD8kpSgKUqkUbNvuWZUn4HqAI04YYHZ2Ntbt79q1C/l8Hnv37m24314zDKOnz103GIaBdDo91Kv5RdgjqFrOILUKoVy+fNltc5dMJgMrMPTifoMM8+tLwTqtJEVERNQpEYJSVTXwOEZUmpqamkIikQgMSZVKJVy6dMnzu5mZmR5sLREREQ0SQ1JERERERERENHBySGffvn1NL5tKpdyQVL1eRzKZRDKZxIkTJ3Dx4sWebmerMEAikXBPzMjt7KLYsWMH8vk8brjhho62ca2q1+uRVv1To1ZtZc6fP49SqQRgsO32AFYVGkVxKoBZlsV2e0RE1HX1eh2O40BV1aaVpIDrQap0Ot1wmZWVFfd4SNiwYUP3N5aIiIgGiiEpIiIiIiIiIho40c4uinQ67QaQjhw5grvuugsTExNIp9MoFou93MyWIalcLueuVO9W0IShkesqlQrGx8cHvRkjybbtpiGpXC7ntqkJO7lIFIbt9oiIaNBEm72wiphigQVw/VjHH7xfXl5GpVJpuO7DDz8ceH+tjq2IiIhoePEbnIiIiIiIiIgGLujEeRi53V4ikUAqlcI999yD7/me73GDHr0iwgCLi4uBf89ms+42xK0kRc0Vi0VMTEwMejNGUqsTeffdd19X3ztLS0sA2qsQxKpCoydOSEqcwCYiIuomy7JgGEZg2Ns/zggKSR09ehTlcrkhJBVWxVS0gSYiIqLRw5AUEREREREREQ2FqOGIsBPyGzdu7PYmhd738ePHA/8uV+QZ9mo84vnWdX0kgimlUmloK0k5jtPwHA5TdZxWIam3vvWtbgW0bnjxxRdh2/ZQPQfUO3FCUkEnlUfh84eIiIZbMpmEYRhQFKXhO8kwDKRSKffnbdu2oVAoeC5TqVSg63pgFaow8m0SERHR6GBIioiIiIiIiIiGwigEKkQYQNO0wL/3ot1eL1mWhYMHDw56MyKxbdttyThs+0qlUsHY2NigNyNUq5BUMpmEaZq4du1aR/cjXhdN02KFriqVSkf3S4OlKErk96Su6w0hqbm5OVy8eLEXm0ZEROuEaMetKEpD+NY0TU+gacOGDQ0Bp2q1Giv0qygKK0kRERGNKIakiKhrhm2SmoiIiIiIqNtEGEC0+/OTK0nFabfXbDzVyyorlUoFpmmO1HhOBHqGSbFYbKhIMExahaSEQ4cOtX0fqqq61RcmJiZC29MEefXVV9u+Xxq8OCeVdV1vODG9srKCUqmE119/vRebR0RE60AqlQo9PvdXkvIzTROapsUOSbGSFBER0WhiSIqIuubIkSOoVquD3gwiIiIiIqKeEYGlsEpSmUzG/VvckJQcYpFDS70KMDmOg0qlEqutyDAYxpBUrVZDPp8f9GaEsiwrUkhqYWGh7ftIpVLuPp/P57F///7IAT9N09z9fJQCe6Osm89znJPKckU4QdM0VKtVlEqlrm0TERGtL/JxiF+rkFS9Xo99PMxKUkRERKOLISki6pp6vR56ooCIiIiIiKiVblVM6kfIQtO0wOo8ctupOEGeqJV+uq1cLkcONwyLZifBBqVWqyGbzQ56M0IFBVOC1Gq1tgNoos2NoKpqrBZsL730Ulv3S/E5jtPVCnWKouDYsWNt7zuZTAa1Wm3o3tftqtVqIxc+JSIadZ2EpDRNQzKZjHV/iUSCISkiIqIRxZAUEXWNruuo1+t9ua9Lly6hUqn05b6IiIiIiGh05HK5voxLdF2HaZpNT6jEOeHvD0mJAEMvA1+qqqJYLCKbzfa0pV+3DWMlqXq97oakxGs2TM9p1BBePp9vO6yXTqdD29y0ouu6W0VomJ63tcqyrEihuagSiQRWV1fbXji3YcOGNRWSOnv2LIrF4qA3g4hoXWkVkmp2zC4fx0XFdntERESjiyEpIvJwHKftEwqGYfStklSxWGTVKiIiIiIialAoFPpyclrTtJYhqU4qScmtx3pVYSqVSqFSqSCVSo1Ui7NhrCTlOA5UVUUymfRUkOnW89rp7UQNSY2NjbUdnkmlUh2FpPq16Ip6E5LqZE7ozjvvRL1eH7r3dbvk9pFERNQfzY4PLctCKpVqqJ6qKAps24amachkMrHuj+32iIiIRhdDUkTkoes6Xnzxxbaua1lW34JLpmmOXEuIdtRqtUFvAhERERHRSCkUCm5Fml6KUkkqTrulsNBCL9vwye3RRql6zzBWkhKBCLmaUiKR6Mq4dWVlBcePH+/oNqLsR6qqYmpqqqNKUu3uTwxJ9VcvQlK6rrc9J7R7926YprlmQlK6rq+LOSsiomHSTkhKHFPW6/XYIaktW7awkhQREdGIYkiKaA05cuRIx7ehaRqWl5fbum4mk+lbSMqyrHUx4XT48OFBbwIRERERUV8oitKVyhvT09O4cOECVlZWOt+oFnRdbxqSEqKMXYLa7dm2jXq93rMAUyeVfwZpGCtJCel0GuVyGalUqmshqXq93nEoLEooZnp6Gps2bcKtt97a1n3IAbG472Vd17lIqI+6HZJSFKWjkBRwvTr5KIU1m9F1nZWkiIj6LJFIuAsU/J/Btm0jlUo1LGBIpVIwTbOtSlK7du1yj935mU9ERDRaGJIiWkO60VJC07S2JybT6TQrSXXZsK2OHiacQCciIiJae7px4j6RSOCRRx7ByZMnu7RVjRzHQSqVQq1WaxmSsm0bBw8ebHmbQe32jh49iieffLKn7faGNWzUTDKZhGEYeOWVVwa9KQ3S6TTm5uYwPT3dtZCUpmmxqpIFMQyj5b66Y8cO7Ny5E5OTk23dRyehO03T3EpSIiBIvdOLSlKdVhdvVZlvlDAkRUTUf82CtrZtI5lMBlaSMgwDhmG0XRVKVVUetxAREY0YhqSI1pBuBGp0XUcqlWpr1XW3Vn5HYZpmx5PEo2AUT1j0yzCeECEiIiKiziwuLmLHjh0d3042m+3C1jSXSqVQr9dDT+qLsZFt25GCA0GVpOr1OvL5fE9DUrlcrie3LVy8eLHrt5lKpVAqlYay8q4ISc3MzLghqU7HyUEhKdu2cenSpci3YZpmy5N/mUwGY2NjbW0j4G23F5dhGG5IalTDe6OkFyGpVCrVcSWptRSS4glzIqL+sW27ZUgqlUo1fPeJSlJA+62n5QpWRERENBoYkiJaQ7oRktI0DXfffTdef/11z+/r9bo7ses4Di5fvtzxfXVivbTbYyWpcJw0JyIiIlp7ZmZmsGXLlsiXH1SlDkVRkEwmm1aSchzHPWkS5djVH5ISlXr9v++mdDqNiYmJrgcmZBcuXOj6bSaTSZw5cwbbt28fmmotYjvS6TQWFxdRKBSQSCRw6dIl/PVf/3VH2xkUktJ1HefPn498G90KoDR7HJ2Em8Q+blkWkskkx8I9NowhqShBvlHBSlJERP1l23bT7zURkvIfU6dSKSwtLXV036wkRURENHoYkiJaQ7qxYkHTNGzdurVhUHHs2DF3stOyrFgT3b1Y3bte2u0xCBSOzw0RERHR2vPII4/EWsXd7IRIu6vBo2jVbi+TyaBarbqVhKK0IPOHofL5PKrVak9DUvl8Htu2betpm6tetGQXJ7S2b9+Ocrnc9duPS65ekE6noes6FEVBIpHA+fPncfvtt+P1119HsVhs6/Y1TWsIXJimiWq1Gvk2uhVAcRwn9L3VSXXpZDIJx3FgWVbX2hRSuG6HpMQ+EeX1D9t/RCuktcBxHO7DRER91Op7TXzH+C+TTCbx1FNPdXTfqqqykhQREdGIYUiKaMRdvXrVnXTuViWpTCbT8HvLstzJLsMwYt1XL6pOrZeQlHieT5w4MeAtGT7thKQcx+FqTiIiIqI15Lnnngs9IdLL4z5FUZq229u8eTNmZ2fdkyZRQlL+kzv5fB61Ws2tSNULuVwOO3fu7GmbqyiPPS5VVWEYBmZmZtpqFd9ty8vLmJmZAXA9JCVeR/G6JZNJVCoVlEqltm4/qIWMaZqo1WqRb6OblaR6sT8mk0m3gtQwnWxcXV0d9Cb0RC8qSXUaTM1kMj37rOu3TgKDREQUn/heC1tc0Kzd3pUrV2DbdtsLE9huj4iIaPSsjZEn0To2Pz/vTox2IySl63rg6lK5vV2zkJR/UsxxHCwvL3e8Xc22Zy0TQaBLly4NeEuGTzshqdnZWVy5cqUHW0NEREREg3DhwoWBVR5p1m5v06ZNuHr1qhv6aKfdXj6fR71edysS9VKrSlKvvvpq27fdrUpScuBAURTk83kkk0nPc1utVlGv17tyf3Fcu3YNmzZtAnA9JDU9PQ0AbkUksa9UKpWu3adpmrEea7cqSfWqslkymUQul3NPcg7LycZjx44NehN6ohchqU4/i3O5XJe2ZvAURVkXc1ZERMNCfK81WwAeVklKtLhu97uM7faIiIhGD0NSRCNO13V38rBVSMq27UirIIPKpLcKSZ07dy7w/mu1WuzwVpRJ9PUy4SSeu2FoITFs2glJxW1JQURERETDrVKp9CUkFdRirFm7PRHeSaVSME2z7XZ7mUymL9VV5ABNUPWTTqo1dauSlL+C0czMTMNJqbm5OSwuLnbl/uKoVqsYGxsDcD0scvfdd7v/FpULNE3r6rhOVFyStXqdutGCMkpIKqwlX7PFP6lUCtls1r39YRnvr9U278MYkspms13amsFLJBKsJEVE1EdySCro+8RxHCSTyYZjmFQqha1bt6Jer0NV1ba+y1hJioiIaPQwJEU05Obm5jA/Px/6d8Mw3INwuSVeEF3X8cwzz0S+7+eff979d6t2e7Ozs9ixY0fDbRSLRRQKhcj3CQDPPvtsy8tEHXwETZBfvHgx1vYMkpiQZUiqUTuT1bZtd20lOxERERENXi6X60tIyh8ocBwH+XwepVIp9P7FivWox63+8Ek6ncbY2BjS6XTPQ1LyiaOgMWUnx9DdCkn5q11NT083hGlM0+zJSaoLFy5gbm6u6bbJ+8cNN9wAwFtJyrbtrlR/lu/Tv+8dOXKka7cfJkpIKiyAEzYWn52dRTKZRDabRSKRGKpKUr1oFzkMuh2SUhSFlaQk62VhHxHRsBDfa/V6PbCSFAD3GEOWz+dx//33Q9O0tkNSw3TcQkRERNEwJEU05Or1etMS+oZhuBMvrUJSpmk2ndj1KxaLnus2qySlqip27drVcBulUgnj4+MNv5+dnQ28T9u2sbS01HLboq4sDWoLMSohKcdx3BMqlUqFE2w+7YakBtF+g4iIiIh6Y+vWrZiamur5/fgDKbZtI5fLoVKphAYNRAUh0zQjhZz84RNFUbBv376+hKSSyaQbkhLjjosXL7rHzsMQkvKHOh566KGGxTOWZXU1iCTUajWUSqWmlwmqnCRetzhhuaiCKkmVy+WuVq8Juq1WISlFURq2TdxO0GvjOA5effXVoQxJOY7Tk/1pGAyyklTYPrpWQlLiPVIsFnHt2rVBbw4R0bogjj1s2/ZUkhLf44qiQFXVhu++RCKBTZs2uddnuz0iIqL1gSEpoiFnWVbTyUG53V6UkJRooRBFpVLxbIcckgqbTPPfv2EYSKfTDZc7ceJE4PXr9XqkdmhRQ1Jy0EveplHgOE7DhD+9qZ3X0XGc0JAUn18iIiKi0VMoFLBx48ae348/UCCqA4W1FRPXSSaTgWGWIEHhk+3bt/clJCVOCsnjrKWlJXc8JS/OiatblVz9r0E6nW44KWWaZk9CLbqut9W2W1EUpFIpdz/oZoApqJKUrutdG+8mk8nAMVKrkJQYx4ptk/epoNsrl8tu1Yfx8XEkEonA8f6FCxc6eTht6Xb1r2EyjO327rrrri5tzWCVy2VMTk6iXC5HWgRIRESdE22uU6mUp5LUiy++COD68YmqqoHHMNls1l0wwHZ7RERE6wNDUkRDTg4nySqVCmq1mqfdnm3bTSeu40yCOY7jafEmB7DihK0MwwgcXMgBLFm1Wo10261WaBiGAcdxsLq6Gvi3QTlz5kzky8rPuZhUX4/OnDkTONDsZru9ixcv4uWXX25r+4iIiIhoOHWzGo0/6CSCIkELQgTRfipqJamw8VomkwkNYnWLqqpIpVKecIpt27h06RJWVlY6amPXrZX1QaEg+aSUqPrTzrgprNKxoOs66vV67JBTIpFAJpNxK4q104Lr/Pnzgb8X43KxTeLxdyuUFjYGjdJuT36/yGP3oNtbXl5GIpHAhg0bcMsttzRUkhKVyM6ePdvR42mHbdtr9qRnL9rtxVmUF2RmZqZLWzNYy8vLmJ6ehmVZqNVqsSq6ExFRe3RdRzqdRiqVQjabdY+55OOiXC6HQqHQcN1MJuOG78WxZrOFEH6sJEVERDR6GJIiGnJhk9GHDx/GkSNHPNWGolSSEqudW9F13TOB6a8kFSckFXTZsDYA1Wo1Uon1VpWkDh06BMMwAlf7DjJsdOnSpciXFZOWcpuO9ejatWuBgah2Q1JB+83ly5fb2jYiIiIiGl6ZTKarVYz87fYSiUTgiRYhl8shlUrBMIy22u0Jk5OTGBsba2/DI5Lb7cnjyzfeeAPFYrHt8FE3KycFhTrkk1JHjx5FuVxuK9Ry/PjxlvcNAC+//DKOHj0a+XGJIJ0IHN14442xKyKdPHky8PemaSKbzbqvy/PPPw/Lsroakgoac0Vpt1er1dxxvb+SlP+5W15exuTkpNsGx19J6vnnnwcQvtCqlxiSikfM/XTyvlcUpaufG4OwsrKCmZkZmKaJ5eXllp8vRETUOXEOIp1Ou2EpER4X3yvj4+PYvn17w3XT6TQymYwnJBXne3JY2gQTERFRdAxJEQ25sHZ7YvJJPgiP2m4v7DL+1Z5yadp2Q1K2bXsGFEtLS+4Ee1Dbs1qthnw+3/J2W4WkTNNEqVTyPAZhkJWk4kxYi8nner2OsbGxdRuSkltKdipsQr/X7UuIiIiIqP/S6XTPWr1FCUmJ1h1RK0mFHatu3LgR09PT7W14ROKkkBw6sm0bs7OzblCknWNyx3ECH1OpVIp9W0Enq+RxoVgk0864qdX2iEoC5XIZxWKx7ZDU1q1bceXKlVjbtrKyEvh7y7I8IalyuYxMJhPaXjyudDrdVkjKcRwUi0VMTEwAaB2S0jTNrWImgnryPEe1WoVhGF17L8fBdnvxyCelgfbCUq3mekaBCAlaloXV1VUsLy8PepMI3Q3tEtHwEecrbr/9dk81V9M0Ydt206pQiqJgz5492LFjh9vGO6iCaZhUKuVWviQiIqLRwLPCREOu1WS0PHnYqnS/aZpIp9Oht1cul91J/lQq5anoJE9mhrXQE9vgJ09EXLhwAdVqFaqqulWejh496v69Wq1iYmKiZZApaOJMrhJkmiZWV1cDA1eDnOSMM2EtJi39K4TXG7mlpNDu5FaU1hBEREREtDZkMpmunbDwnyixLAuJRMINggQRlaTEYhT/+MV/jDvIY9WgdnvA9fGdvCgnrrDH9JWvfCX27bVqt2dZFgzD6ElIStA0zbOAqBURkhKLlcRJO79m45uwkJQYJ4qxc7Va7WowUFRB89M0LXAxkqxUKrlzC/4Wjv7nTsxjiHCU+M+yLLcy2NLS0kCCM2u5klQvPm/uuOMO5HI51Go12LaNQ4cOxb4N+T09yhRFceelOAcxHF599dWBhC2JqD9ESEpUihIhKdu2YRhGy7nkbdu2IZPJuMdpcUJSExMTKBaLnT0AIiIi6iuO0oiGXNgErAgjyRNIrcqSW5aFTCYTOrkoencDcPt3C47jNEyWBwm6fzm8pes6DMNALpfDysoKTp486VlJaxgGJiYmUKvVQh+H/zaFS5cuYXZ21n2sYSGpUagkdenSJU+7vUwmsyYmCtsRFpKK2hfef71uTVC+/PLLXbkdIiIiovXotddea/hdt6s8dLvdXlAlqQMHDoReR64kJYdZhOeee87z8yBDUvfee29DmzMA2LlzJ2zbdh9HXOK6/uP5ZDKJubm5WLcVVklK7DeWZcE0zdj7ka7rkfeTer0eKyQlKjQnk0lPNearV696LvfSSy8FXt9xHNRqtcCTdGKcKF6XWq3W1X0+rCpCvV73zBX4iWCd2GZ/SMr/+oi5BrmSlLjOkSNHGJIaIRs2bMDk5CSWl5dhWVbg/tPq/RkUKB0lopq6mKtbXV1t+n6h/tF1fd0uPiRaD/yhJtE2WISk4orbbm+Uv7uIiIjWI4akiIZcWCUpMbEkVlguLi62DEm1qiQlH/xv3brV0zpCntiMG1CRJ8XFpMTY2Biee+45zM7OolKpeC4fp0St/HjFymHgzXZ7uVyu4TkZZEgqaiWpU6dOeUJScsn69SYoJNVuawAx+X7x4sWml3vqqafcSmdhLl++HPv+iYiIiOi6+fn5jm+jVQC+m4GRSqWCsbEx92cR5GjWhvymm27Cpk2bYBhGYEjKX71okCGpbDYLRVEaQlKPPvqoe+zdbiWpdDrdMJZJJpOxTya1WtEvQlJxlctlTxXlZjRNc6sSRDEzM4Nbb70VyWTS3fZcLoennnrKczn/mBi4/tzpuo5cLhcaspDDa9Vqtek+Hzc8FtZur1VIyk/ed/yLrwS5kpSiKO51dF2HoihYWlpyF3T1EysRx7dlyxZcvXq16VxWs+d01CtJ6bqOTCbjhgU1TYv8+TJsrl69uqZaBZqmOdL7FhE15z9fIebSHcdp61xAnEpSRERENHo40icacq1WLorJw2PHjkVutxd2Gfngf+vWrZ5JyFYBrGbkiVvDMNxqUf/8n//zwABMWFn/IH/3d3/n/tsfkiqXyxgbG2u4rUFXkoryPFarVRiG4U4QBp1YWC+C9pGok9XFYtGzQl1cT27xGMRxHJw8ebLpZcrlsifMd+rUqZbbQ0RERETXBQXS41YKbRWc72ZIqlgselrriZZgzYg2a6KSlH8hSLlc9vwsWvgNkhh/iONvseBFtAGPS1Q78o/B2hlf1mq1pmEDESqKq1wuB1YgDhK33Z6iKG74TLSom5iYwOnTpxtuV1av1/HSSy9B0zRMT0+HtreTx9qmaUJRlNDxbtz3V9i4vFarNQ1JicoNgrzvBLXbA97c91OpFO655x53nkPTNOTzeSwtLfW9Go+maTh37tzA35OjRjxfYSGpVmP5Ua/GIdpRis/SbDbbsj3lsKpUKoEBzlFlmua6nVcjWo/87fbi6iQkJTpdEBER0fDiSJ9oyLWaPBYTSJVKxdNqIIhotxc2MGh2ksG/ojgOVVXdyWrRbg+4Pulaq9Ua7jNsxarf/Py8ZzJZHvQ4joNKpYLx8fGGSZB2WjB0S9hEoZ9hGKjX6552e+t5Msf/2KNWkiqVSp6e8KIq19zcXNN9oNn7REgkEp7bvnTpUsvtISIiIqLrWrXXjsJxnKbHhOl0OnZIKuxY3b86XbQFayWRSMA0TWQymYYAT1AlqXaqpXaTGPcdPHgQwJvjzU4rSQWFpOKOL6vVatOQlLxoJirHcaBpWssAjhg7iEU/8rbbth0pgCS2fXJyEuPj457xiH8xjWEYKBaL0DQNU1NTTUNS8vi6WXuzuGPgsJCU3EoviH9hllxZOigkJfaFRCIBRVGQSqXc/VBU0hpESKpWq2FhYYEhqTaIKkrthKRGvZKUCEkpigLTNDE9PQ2g++1k+yEoVFQqlbCysjKYDeoQK0kRrS/i2FVV1b6EpORjQX8YnoiIiIYPR/pEI04c8Fcqlcjt9l599dXA1WBRQ1LN7ifob8lkEl/96lfdyTB5YJLP5zE+Pu65fNR2e7queyZK5UlxcRty2OXMmTOo1WqwLMvdxmvXrrW8n26KugJb0zRPSCpKu71uT7oNy+RR0AkZMTHf6sSKruue69q2jYmJCSwuLrbcx1o9n4VCwXNiq1V7PiIiIiJ6UzdCUq2qOcnhDKCxWg/QeMz3wgsvRDpeV1U1ckgqrN2e/zmIGrbpJTH+EM+VCCz4n8uowtrttVrgE6RVKC7uSbBqtYpnn30Wpmk2bZsoiOCHruuecUjU9nNySOrAgQOe58Rf5cAwDJRKJei6jttuuw3btm0LvE15nJhOpxv2Scuy8Oyzz7bctiDpdLqtylypVAobNmxwf/ZXkvK/7qIFn7ztYgxoGAZUVcWePXsGUklKVHem+NZ7JSnxeTE1NTWyjykoeHr8+HEsLS0NaIs6E3XRIhGtDeL4w1/hMgoRdG138UK3KtkSERFR73CkTzSC/CsZRNWkqCEpTdMCJ/6brZCI2g4hqOKUqqool8s4e/aspx0AAOzYsQNjY2Oe+wmrJFWv1z0/67ruaQnoD0kZhuFZ/Srao8krE994442Wj6mbog7MbNtGvV53n8+gEwvy61GtVvHaa691dVvF6vFBCwpJieBYq4lGwzA8z5vjOCgUCpiYmOh4wFooFDyVpLpxok8YZEtIIiIiol7QNM0NmIs2Wp1KJBKxVng/99xznmNo0zTx+OOPey5jGEak9kJxQlJh7fYcx2kYYw06JCXGH7ZtuyeHbNtuGMdF5ThO4Piuk0rFYVKpVKzg1blz59xwktiPml3fcRwkEomGhRi1Wi1Su757770XwPXX2F8p2HEcz/5hmiYMw4CmaRgbGws8Sec4jud1SafTDY/DsiwsLi669xtHuy0WN23ahJ07d7o/t6okJbZNfj+J+QfxOXHgwIG+h5VEFexEIoFLly5heXnZ8/dSqdTwO3pTWFvKKJWkRjFQJNTrdbfdnmmaeOCBB9quxDdoQSGpxcXFkX192G6PaH0Rxx+pVAqnTp2K9dmlqio0TYs1zvBXCCUiIqLhxpAU0RBbXFwMHMCLlWkywzBCJ6Fk4iA/rGy+PPmaSCRw+vRpdzJY3LbjOMjn81hdXXWvJya5giZ/kskkduzYgePHjzes7t2zZ09D4CuorL+u6/j7v//7ht8FhaQOHTrk3oYcShKrxuSQVL/DKFEqQonL+dvtyc+reJyCZVldn+wZlkm8sEpSqVQqdBuvXr3qnmiQL+M4DsbHx7Fp06aOB6z+ldW1Wq1r1bxeeOGFrtwOEYUbZOtVIqL1aHV1FVevXgUAd+FCpxKJRKwV3sVi0XNseO3aNU/oHQgOSWma5hl3APHb7flDUmHhoUHzh6TE2KmTdntBrcPjtts7d+5cy8skEonQtnRByuWyuxgllUqhWq3ipZdecv/uX6QDvNlK3rZtd8FNqzaAglxB2R86E63lBDGWDRr7y/whKVER68UXXwRwfdzUbpCn3cDe9PS057HKYStRNcov7P3kf8/0kxySKpVKDePH1dXVkW071g9st3e9ktTk5OSaCkmNalUsgJWkiNYbcfyRSqXw+uuvx6qOKY7B4oSkZO1U4iQiIqL+YkiKaIhdvnwZ5XK54ff+cv6KoriToa0mDsWkblglKfkkg6qqOHr0KM6cOdOwmu+uu+7C8ePHAXgnhcNCUpOTk7j55ptDA1oyf/jEsiycP38ehULB8xiDQlIAsLS0hGQy2RC4EhMi8jZGHbQcO3Ys0uWA5i38oq7ATiaTnpCUv5KUYRgNz1G3J3uGZYVdWCWpZu32Xn/9dfc58j+OyclJPPDAAx2HpOSTBpcuXYJpml1bKVStVhneIOqx06dPc/U/EVEfye3E/MfxQHsBiLghqXK57BmLzM3NYceOHZ7f2bbdMAabn5/H5s2bPb9rp5KUfD9irDIsx9yCHJISARHR5i7oWFfX9aavnRjLBFWSivOaX7p0KdLlo4SV/MQ4eHZ21vPa+yvrijGmCEm98MILqNVqkStJyfwLgxzH8fwsqjwHvVfE5cXtXLx4EYZheCpJifDfMITC5UpSQSEpRVFC30+DPMkoh6Q0TWsYk/qrFpPXem+3J8JeiURiZINfoqKdbFQfC/Dm9zGRLKiqJ40eUX1TJo4/0uk0VlZWYh1TqKqKer3edkiKlaSIiIiGH0NSRENMbkNx8eJF9/fLy8uYmpryXFZMiB4/frxpCEm0BwiaGLAsy3PwL8JNy8vLnnZ7ohS+CImcO3cOu3btAhAcaFFV1W1xVq1WQye8xESwP5D16quv4vLly5iYmABwfVJNVKQS4TCx/YlEwq3oMzY2hnw+764EF9WW5Em3qCu3T58+HelyAPCP//iPoX+L2m4vnU67ISnxuvgrSck/h7Ut6ETcia+gy1cqlY4nofyPXdxXs3Z7xWLRbSspX0bss2Il/9zcXEP1gDgcx8HZs2dx+vRpJJNJnD9/vu3bkpmmyVVHRD1m2zYnQ4mI+kiuSBEWkopbXSpuSErehlqthoWFBRQKBc/xuTx+EJaWlrBhwwbP76JWkhKLVIIqSTWrjDoo4gS4qCQFvNnW7dlnn204Rj158qTbzk2Qv19FJSn/GChuJakoYyhFUSKFpE6ePBl43cXFRc/15f1ALEwSIR/btrFp0yZcvHgxciUpmX/xjAhECWKsK8bIfuVyGePj40gmkzh58qS7DWJhUbVaBQD35GC7Y8WgalJxK0zJjzWolZoI4Q1bSErTNDfQExSS8lctHgWvvfZa3+6rk3Z7/XpeZ2dnu36bYv5GVJIS31OjGPwKmmca1ccCBM9XEl27dg2XLl0a9GZQh06fPo2bb77Z8zt5Tn1iYiJWcKnTSlIMSREREQ0/hqSIhpRpmp6QlBy+WFlZwdTUlDu55DgOMpkMkskkSqWSZ7I1KLDULCTlryQlJkWCJjOFarXqltMPqpQ0OTmJG2+8ERMTE00nw2q1WuDksmmaWFxcdLdNBJ3koBZwfXJVTETV63WMj49jYmLC0xaw3XZ78oqT8+fPhwZrbNvGtWvXQp+rqJWkUqkUNE1zn3f/yR9/SCpKq8W44oabnn766YZV9+fOnUOpVGrr/kX1rrBKUs1OKtXr9cABqThhk8lkoGla2y0S5BM/4qRENpvFU089Ffu2gvgrhRFR9/Xic5OIiMLJlaSC2tfZth07fKGqaqyQVCqVco+xSqUSbr311oaKPkGtv4O2N2olqUwmg1qt1nBiWVRGHbYTtvIYUIwHLMtCJpPB4uJiw3NjGEbD2Oi5555z/x1UFVcE4qKGlUX1plb7h+M4kcJKV65cCbwu4A0AiZCU+Fs6nUY6nXaDUoVCAaVSKbTaUzNiXCjuQ66mXKvVsLKy4o53xD4ut61bXFzExo0bkUgkUCwWoes6xsbGcOutt7rj4VKphIsXL2JiYiKwQnW/yOM5/+su3vfNQodBr00/iJaHYqFZUCWpYXv/tnL58uW+3Zd/fkkYlkpShmHgzJkzPb0P8VjXUjin2dzgsBvG71waPDH/TqNN1/WGBQ3iuElRFNx0002xWlyLCqpxxhkyhqSIiIiGH0NSREPq4MGD7uQm4F1BKUIz8qSTqCQllzR3HKehRYAISQUNDPyTVclk0l0x0WylrzxZGTT5k8vlMDU1hbGxMU+bQL+wkJRlWW7QSfycTCZDb0u0PRsbG/NsX1C7vagDpFwu57ZlqtVqKJVKgeEfwzAwOTnpvm5+cUJSoqyvCHb572fYKkktLCw0nCDpZHWtaFsYtE+FVZISFddECCqM+Ltpmu4q62Z0Xfe05RL7oK7rqFarqFaryGQymJubi/z4mrEsiyEpoh7rxecmERGFa9Vur9WJ8yCJRCLyCm8RshfbUKlUMDY2FhiKCuIPaGzYsMEdbzQjjjv91x/mSlJhIamg1ktBISl5EUJQJalWrbP94rQWj/KahI3VZJVKxQ0WiapOqVQKmUzGDUmJcYqiKG1XV3rppZcAeENSy8vLuHjxIrLZrGfsODEx4Y5Bl5eXMT09DQAYHx/3tIQRVY8qlQqWlpYwNTWFcrncVgVN+TonTpyIfX35sQKNAQvxOMJCh4OsWiO/zvV6fU2EpNrdD9rRbkiqX5Wkgl7TbhulkFStVov0Xhvldnty0JRIYLu9tUHXdU+3CcA7n/wd3/EdseZZO60kFSeQRURERIPBkBTRkBITbvKJBEEM3sSkk6IobiUpuTKG4zgNkxdiMirKxICqqsjn8+71xP02GzzKAxD/avBEIoG77ror9LphIalEIuFOAANvPu6wkJSiKDBNExs3bnR/FtdrNyQ1NTXlTvZbloWlpaXA0uymaaJQKAQGb8QJglahHMuykM1mUSqVkMvlYBhGYEjKXzGs2xNVcSePJiYmAkNS7U5qi7aJQROKTz31VOBJpbNnzwK4fpKhWUhKVBGQV28D11eVBw2aV1dXPSvOxYmSer2OSqWCer2OXC6HTZs2tXwd5NaZzXDVEQXh5F33sN0eEVF/tWq3125IKuoK72q1iqmpqYaQVNRFDH6bNm2KVLUorGKSHLIZJnJISjxXpmkilUph8+bNnmPlSqUCRVEajp/lxSRBlaRatc72s20blmVF+t7ev39/y8vUarXQvymKgnK5jK9+9avuOEHsr/6QVCdEOE+Mn+Swnmma7lhQft4KhQKKxSLq9Trq9bp7MnD79u1utTLgzXGEruvQNA2Tk5NtV/cFro99rl271nZrcTmY4F98NT8/j82bN4dWkhr0e0Tsv4ZhNLzmgwxJvfrqq21dT9O0vp249YekbNtGuVwemkpStVqtL6+foigD34+jOHPmTKSKc8PWbs+27aaf6bJuVZIa9teS4uHiqbUhqAuDfE4ibsVPVVVhGEasEHy/K14SERFRZxiSIhpSYkWqOMAXk3L+0vRigiKfz2NyctJTJlhMJgsicJJIJCKdCEgmk+7EbNAkdtAJBfl39Xq9Ici0Y8eO0PuTQ1L+gcVb3/pW99+i3V42mw0cgIjA2H333ef5vdxuTzyWqBOE2WzWXXEsqvwEhWlM08TExERgEEqswP7617/e9L5M00Q2m/WcUAgKScmvRy/aRsWd+BkfH2+YVOukklS9Xg9dZX716tXAfVKsfsxms01DRnJwTr7ct7/97cDXrl6ve/YVsUJJ3J9t25icnMT+/ftbhpuOHDkSOolnWRZM0/SsJCeSvfDCC4PehDWD7faIiPrL324vk8l4/i5asMUhV75tpVwuY2ZmxtPSLJfLRa4k1YmgxzXslaTkY3Bx7Ltv3z7Pc/X0008Hbr+8cCLodRVVWaOGlaMuCIla0Ukciwdd1nEcXLhwATMzM57HL0JS2Wy2KyEBMW4Wz5V8/C9CUmGVpM6ePesuDgGAd7zjHZ5KUolEAtlsFoZhoF6vu5Wk2lWpVPDGG294FpfEIY+//ZWkSqUSCoVC00pSgw5JTU1NoVKpNGxH0KK0fvEvTorKcZy2X8e4/CGparWKU6dORaok1Y9j9H5UkhIGvR9H4Z8/DDNslaQqlQpOnz4d6bKdVpJyHAfLy8uelrI0+lhJan1Ip9Oxxhnthiq5LxEREY0OhqSIhsjJkyfdf4sJChEaEu0O5ufnsWXLFgDXJ0/F5OrY2BhuueUWz0lf/2oYRVGQSCSgKIo7uS1WIC4sLDQc/ItKUsvLy55JYjGZPDExgfn5ec8JDnnyR1TXiUoOSfkHFTt37nT/LSbV/SdWBBGSCtJuJSl50lqc4AkKw4h2e9VqFbZte4IuosqUP7zlJ17X7du3u4G2oJCUf1XmoENSQZOZnYSkxMrOoBMo4kSN/7ZFmKlQKLivT7MBqgjcCWKlkF+9Xve8loZhuCuKE4mEu4o7l8u1DDfZto35+fnAv83Pz+PixYsMSVGoTk5wkRdXjBIR9Zf8uRtWSSruCuxbb70VU1NTkS5bKpUwPT3tOdZTFKXtSlJxBI2JHMfpWlWLbpJDUmIMIl6v22+/HZcvX3aPRxYWFtxj7pdfftm9DXlBhwhE+Bf7xGm3F+XkfZyTnK2qjojxlxgn+CtJxamCFcYfkpLHUqZpolarIZVKefbNXC6HWq2Ger2O7//+73d/L7dqFz9nMhm3klQ6ne5oPxPbGaVNYRD5fe2vJCV+N8whqQ0bNqBUKjVsR9Bj6Zd2g535fL5vISn/WFtUwx6WdntRqw91w7AFi4LECaMOkygLX8LafcZVq9Vw4sQJrK6uen7f7mcjDQdWmF77FEWJHZJqJ1QpPmMcxxnoMQIRERFFw5AUUR+1Kst/9epVz2Uty3Lb3YmQ1MrKitt6TgR+DMNwJ7HlSlJBkwX+SlKiZdwTTzyBa9eueS67fft27Ny5E6ZpYsOGDQ2Dxs2bN+ONN97AxMSE5/ZFK4TTp0+HtsQLIlqYteJvt+ffLrG6109smzxBFXVyUVEUT5tDwzBaVpJaWlrCmTNnPNudSqUwPj4e6fEdOHDAbR3ofzyiupd8nUG22wubUPC32zt16lTk26zVaoGPHbhetSqskpSu6xgbG2t4bYPee2LgCrxZwSvocfsrSYl9NZVKoVAouPtilHDThg0bsLCwEPg30zTdkzBstzeaLly40NMJtn5O5q91DEkREfWXOA4H3jwG8wdn4laSinOyVlSS8h8j9qOSVFBIyrbtoa0kJRYqyFWN0+k00uk0ZmdnPa3bxMlhOcg9NjbmBjGCXtd2K0k1e71ffPHFaA8QzdtaiwVFY2NjyOfz7sKXdDqNyclJ3HTTTV0JSaVSqdDtEItm/PumePyGYXjG4P6QVDqddkNS9Xodqqp6xj1xiPFosVh0x5+dHOvKgbm5uTl3m9LpdMNCJxEkHOTJa9u2MT09jUwmM1Tv1XYX1PQrJCXmqeSxvGmakUJS/WrnVq/XQxfeBdF1ve22lcPWoi5IlDmlVu/Fw4cP9/19EiUkdfDgQQDxA17+8FO1WkW9Xm/YDw4fPhzrdmm4dKOFLg2/RCIRq+VeOwsZ5JbVmUym54swiIiIqDMMSRH10ezsLL785S+H/l0egIvVsmNjYwCuD/yXlpY8EzlySCqVSkFRFHeC4Ny5c4EngFVV9Uw+lkol2LaNiYmJhpPvYvVsPp/H1NRUw20VCgWcPHkSN9xwg/s7sSK2Xq/jmWeeiVRJKu5EhQjOTExMNJxcAeBO4PuJVSDyatQ4Ax65RVuzdnsiaGOapmfi219uPmy1s5gU37RpU9NKUnJIatCVpMLao/hXfcuhsVY0TXOfC/8+ctttt2FiYiKwkpSu68hkMg3P7bFjx5pOCNdqNRQKBc8gVtyGpmme942oZJVOp91Jc+B6FbNW4aZmq6FFAI+VpEbX7OxsTyeGGZLqHhHoJSKi/hCtwgX/MVE77fbiMAwD+Xy+ZUgqaGzSaeUMsfBFNqyVpMTJ/FQq5b4e8gKBYrHojvempqbcMaw8ls3n824L62YhqajjF9GSuplyuRz59ppVnUomk9A0DVNTUxgbG/MsYkgmk5icnGwISbVzPJFMJlGtVpFOpxuub5omZmZmmlY5k/dJ0QZcjFdyuZzbbk/cl//9F4dhGCgWi7ECJWHkSi6vv/66+9hvueWWhqpwlmUhnU672z2I4zZR9Wz79u0t969+bl+7wc5Wbem7RVVV6LruCVoOWyWpoLavzZRKJXeRYVRinxh0RbQoolTs889p+fkXl/VDlJBU2D7f6j176NAhz8+1Wg3lcrlhTN7vx0zdxUpSa0OzY3Xx+sbpdhG1nbdMHONYlsWQFBER0QhgSIqoj+r1etNKSf6QlGma2LVrl/vz0aNHUSwW3QCQmKAQE7ZiladlWbh8+XJDcEaceJAnNUSoRJ7I9jtw4IC7+lTcDnB9APK2t73N85hUVcXS0hJeeukl1Gq10EpS8uDFf7v+3/uJSfX7778/tFz2/v37G34nJqbaXcUntke02wsKscjhJX9ISgS0xGM/d+5cYNs1eeIpLCQlwkPydbo9qI8ziRc2WeZ/rkU7iSjECYqg252cnEQul2sYcNZqNTdk5GeaZuDklVwGeWJiwr1N+aSVv/2LuI98Ph+7klQzYhtVVcWRI0c42TaCHMfp6URI2Oc0xcdKUkRE/eU/Me4PgLTTbi8u+US1OHb2b0e7FXeaCQpJifDFsJ04F+MrVVUD280Vi0UYhoFr167hxhtvdMew8rhHDp4FBSLEY486fhHf2c1OWFmWFTlM3ix8lEwmYRgGtm3bhm3btnlCUsD1fagblaQSiQTq9Try+XzDtpimiampqcitIEXgSoxD77vvPncbHcfxVFSOS1TWqlQq7kKUTt4f8vhdXsASdJuiEnNYKCNuYKUdohL329/+9tD3qtiP//7v/75vx5btjhP70V5U3I+maW7lsG984xuRQ1LDWnUpLETU7HNMPM5RCElFqSQl5uKEoICnaZp4/vnn+xY6ibLdYo5G3ibHcTxtYptdT6hWq57wHxAtXEbDjZWk1oYonzlxul3IHSziXEd8JmUyGc7pEhERDTmGpIj6SNO00APs+fl5z8SyaLd30003ub+r1WqoVqvuRIuYvL7jjjtQKBTcFXcixBM0WPdXkpK3K2yybGJiIjSMdOeddzbcvqZpuHbtGvbs2RP4eKO00mi2wlFuwRa2Xf7HePHiRU/VrTiTGP4TNqKSVNBErhxeEhPq8vXkkwHVajVwIt//+OSQ1NzcXGA1pE5WBoeJM3ka9prKq0Adx8HKykrk25TbRvgnsxRF8bTxkLdDVHnyC1uBLp8EmpiYcAexokVFELEfPfTQQ7jnnnvcim/+kJRt27HaGYhKUsD1Sm2dBK5s28bZs2fbvj61RwRce4WVpLonyqpjIiLqHn9Iw3/SuJ12e90Q1m7P3wq9E+JYUeY4zlC22xOLBxKJhHtMLVeSKpfLnpCUIB+3BoWk/OOpOEEjsSCk2XgnTkgq6DhfhDlSqRRM08T4+DhmZmbcRQziuehWSAp4s22ef7vjhqRUVUW5XHbDePJzLcaW7Y4XM5mM20pRVNZqh9gmf0iqWeDKtm2k02n3c8F/2ZMnT7a1LXGIkJQ/uCM+E+r1Ol555RUA119P+XOjl9odJ4rPXX8bsW4T96MoCp577jnMzs6iXC4PtJJUp69N0PxarVbDkSNHPL+T91MxN7RWQlL+xXpHjx71fH6J+YzZ2VlcunSpZ9sqizKmC6sC3+p94D82qNVq7kLVOPdPw42VpNY2+TP5nnvuiXy9ZDIZOyQlt9tLp9OsJEVERDTkGJIi6qN6vY5sNtsw+LJtG2+88UZgJSlBrA6VL6MoClRVxdatW7F582ZPJSld1wOrZCQSCXdS48iRI257sEQigfHx8dBtD2prF0RVVdTrdVy7dg1ve9vbAidi/SdIRJtA+XeFQiG06pC8ek1MZrdy7tw5AHBbR4jJn6CQ1cLCgmcCzTRNt52huA05yCTzh6Satdur1WqYn5/HqVOnmj4+MbkIAMvLy4Ghm3ZXBsuuXLnS8Fiikk9+yK+HPJkswntRJZNJNyQlE89jLpfzVNUR4Sl5pbf/emGVpMTEt1xJqllVKPlEkdz+QZxwEc/Bk08+6SnRbhiG+3hKpVLD7YqTMIqiYO/evR1NpFqWFVipjHqr15Wk2CKue1hJioiotTfeeCPwmKUdrdrt9Sok1arqTdiiixMnTkS+jVYOHDjQ8LthbbcnP1a5FVU6nYaiKG41V8MwMD4+7h53N6sk5X/+xL4Q9ZhGHP+0qiQV5fYcx0E6ncbc3Jzn92I/kINJ4t/yGE+EpEzT7Hi/0HUdk5OTqNVqDbf11re+FalUKvJzVK1WAyuWibFTu+PFbDaLcrmMsbGxjkJSosWhCOEB11skNnt8ohKD/Lkhqkc5jtOXCqvJZDJw3H/8+HFcvnwZmqa525HP5/u2oKGT6hSO4+Cll17q4tY0kj/fFxcXsWnTJly6dMkTwmx23V4co7/66quen+O+f4NCUv6FcX5i31mrISnDMDzXEQvTxsfH+1YBWQTvmgmrAt/q88x/PTHXI383MiQ1+pq14KW1pVAoRL6smHeOQ26312wxOhEREQ0HhqSI+sgwDOTz+YYJLTHxKgeg5HK/YtVsvV73TLr5W+eJsJEIo8iDdblFXiqVwrVr13DkyBGk02lomgbHcZoOFuTwS7PJJFFWfWlpKXCSFmg8AaKqKhYWFjAzM+P+bmxsLHRSxd+OLsqEhAiOiQCSmMgJWp27uLjoeZ7FRJB4/OK2giZL5VXG/tdZbLd4/jRNw/LysidU0+rx+Sehgq7TLhEkk28zKjm45N9Hxe34K2m1IipJ+R+XmOD374cizBYWkhLvM79cLudWkhLVm8TqQP+kmHivhFWrEvf/2muvYXFxEbOzs6hUKu5rKIKS+/bta5ikFY9NXinfyURqt8u+nz9/HmfOnMGZM2e6dptrUa9DUsN4MnVUccUoUX/wfTbaarVarHbJzbSqJNWLNnfidv38Cx4URcHq6qon0C4WJnSjDWDQ9f2LN4aRGM+l02n3+ZqZmXHHOclk0r2MCEmJakziMmJBQth4J4oo7fb8bdnCPnscx0E2m8XXv/51z2VEeEO02xOPTxyfy22zxOPrdPyl6zpmZmZQKpXcbTl//rwbSkomk4FjjiD+Nljy4xWhk05CUlNTU27rmHY+18+ePYsLFy549gXHcUKrRwNwx2Ty8/ziiy8CaB1O6RZRScqvUqng/vvvh67r7mPIZrM9r9AkdNrCp9dhLlVV3UVj1WoVuVwOpVLJrcLWbF+Ug3TC8ePHO96mxcXFjq4fNL4Oq1Yt+Be/DbMo8wdPPvmk5/3oD1aJhWn9auso7jNKSMp/jBE2tyYLCmAZhoFMJuOZ52JIarSx3d7a1u74QlVVbN68OdZ1EokEjh8/jmPHjvW0khSDfURERN3BkBRRnwVNnIkVTPJEl1xJSlEUdwWjfF1/6zy5DZ9cSWp+fh7lctm9bCaTgWmauOOOO9wgChBvRUUY0W4vn8+HlqUNCkktLS1hcnLS/V2zKj5B7fbE4CCsXYZt29A0zZ34FgPgoCBKqVTy/M6/Wk607fNP7NVqtYZKUvL15O0Wk9Wrq6uwLAsvv/xy4P35Q1Ii6BNUjazTSfqgUFdU4jX1t8CTt9+yLIyNjTWdCJdvL51Oo1arNUz2hz1WwzDc91dYu72gfSOfz0NVVdx7772eympB++BTTz2FY8eOYWlpqWEbFEVxw4Szs7Oo1+tYXFyEpmnucylaW+bz+dBtFI+304nFVhO2cRWLRZw7dw5vvPFGQ0sBAlZXVwH0vt1es89Gio+ToUTtsyyrZUvZcrmM119/vU9bRL0Qt3VwM/7jV/+xTj/b7VWr1YYWeC+88ALq9bq7alw87rAAfqeGtZKU7MEHHwQAz0r6mZkZFItF93dbt24F8GZIyrZtZLNZ93gl6HWNG5KK0m5PLHwAmleisSwL27dvx/333++5PRHekfdLEfQAvO3itm7d2pWQVCqVwoYNGzxBxGKx6La3SyaTDWOhsJNiQS0dxX2IgEY72ytCUjMzM24FrXbU63V3DC1em2w22/Q9n8/nG0JSYnwlFkA1s7S01Na2ypLJZGjIcdeuXdB13Z1PGZWQVNi4uJvEZ1u9XodlWcjlcigWi5FDUn7NXktN0xoWfF2+fLnhcisrK573T9wTzEFVaIMWYvkra4v/D/u4o1VIyrZtnDt3zvOZ5A9JyZX3hikkZRgGdF33LNqLEpIKGtunUilMTk667/Wg+TkaLVw8RUEURcFdd90V6zri/Mbq6irS6XTPjvHL5XJXwsNERETrHUNSRH2WyWQaJs5EQKpZ+wmxilSeTAqqJCWqSRmG4U7iLCwsYGlpyS0Jnclk8P73vx8zMzMYHx9HrVaDqqrYt29fpMfQbPCYSCSg6zq2bt0aOvElVhPL11leXm4ZkhIBFH87Otu2cfToURSLRU/Za/n2xSpGMfEtVl0ETd4Ui8WG6k1yuz1VVQMrSb3wwgueIJQ/JCW2WzyORCKBarUK0zQ9VbP8laTk51sE6vwTh3HaJ4Sd6Go2udeK2Gb5+RSBNLEfm6aJfD4fKeBhmqY7yRxUSSpogl/XdWSzWdRqtcDJ17DQkAhJjY+Pe17boH1wYWHBrQ7VjK7rKBaLyOfzqFQq7v3W6/XAfVR+3KLaWKeVpKKUy49DhB9XV1dx7ty5jm+7W1UphoUIOvaykpRoD8OQVHcErVInouhKpRIuXLjQ9DKapkUKR9PwsizLDWx0g7ygQVVVHD582P1bP0NSlUqlIVQyNzfnVjwRlwGu78fNjt/ieu211wCMRiUpMeaQH/+GDRuwsrKCqakpAMC9997rjkGBN1ukyWMC8bqK8UXQa91s7CHGFc0qSWUyGXcRghxu8hOBjRtuuMGzaEGMK+UgkBjb+Mded9xxR1dCUhMTE8jn855tNQzDnS8Ia/UWRB5Ly7LZbKQWZ2FESGr//v0dBR8OHDjQEJLK5XJNA4giJCVv98zMDObm5qBpWsttOXnyZNsnvsXz1WyfA96sUHPq1Km+tlTrZLwhAiO9qNwniOdCzBGMjY25805x98VW4ytd190FK8KpU6c8P4v77CQI0UklqVFot9dqG8vlcsMitqA5h0FUkooSdqpWq57Pm6ghKf9l0um02yZV3D/HlKONVXlGX6uAcr9eXxFKtyzLnZfuBbmLBREREbWPISmiPstmsw0niwzDcKvXCEEhKUVRPNWeRIswQYSk5EpSwPUJtHK57E4IZDIZKIqCDRs2YPPmzahWq1BVFRs2bOjKYzRNEwcOHAj9u78Vgqg+JR/gBwUB5N7e4vri8dbrdaysrCCdTjdMZCYSCXciUK4kJQIH/skb/wpBf7s9cXui0pGwvLzsbpN8PVF1R2y3PDFcq9Wg67pnJae/kpS8H8gTOfKkZpyJxqeffjrw9/I2xC1HLO5f3m+LxSKmp6c9laRyuVxowMNxHDcsZhgGcrkc6vV6w+sZFggT1zFN0/MaCYqiBE7UTU1NuScVxAmesJBUOp3GtWvXGlpB+p//TCaD+fl5bN68GcVi0b1f/0k20zRRKpU8z4GolDVsISnxGA3DcE9MdEKuRlWv17tWpWJQxPu/l5Wk/JUZqDNR27US0ZvkCeagigp+hmH0vFoF9Va3K1Nu2rQJ165dA3A91CF/p/kXUnRL0DGtPyQlFmIsLCwgl8vBcRz3OL/bIalLly659zkK1UUAeCoE79+/31NxC4BnQYk4lnUcB6+99prnOFmMQ4IWPZw5cyawHZau67hw4UJDRaEgN998M4Dm7YnF9m3ZssW9vKIo7nGBfHI/7ES/OCYWx+ztvobbt2939y3x/BmG4e57qqpG3vcmJiY8P4uFOeL67VYeFgtXxsfHQ6s2R7Fr1y43cCZXkmr2+HK5HDKZjGcB0dTUFJaXl6FpWssAUyfVQUQFuVYnIXVdRyKRaKhk1A/tPjbTNAPH2d0kxrKJRAKJRMLzOseZu9B1HXNzc03fY0FBFv/YUuzD/svFnfOwLMszDm5VlUvedzVN63mbw060mn8oFovYsmWLZ27MNE3PdUTINGictbKyEnlb4swNWJbV8nUUc02pVMr9HGu3klQmk8HExMRAQ1KlUqkhGEjtizKmoeFl2zb+z//5P25436+XgWA/+bxFLxdC+BdlExERUXsYkiLqM38J9pWVFZw/f75hJaq/rLsIbcgH/UGVpESoRgz4xc/lctmdmBJtEyYmJrBnzx5omhZ5wvSVV15peRnTNLFp06bQv/srYgVNxgRNbAeFpOTfidCT/7GI50CuQiUmTCcmJnD27NnA+5Efj7+toWVZ2Lt3L06cOOH+vlwuNwSNEomEW9ZdrhLkD1zJEy/y4/MHdYLKucd15cqVwN/72z3GOUnlD0mVy2UsLy9jw4YNnlXluVwuNFxjmiaOHTvm/tsfkhLBJHmCX36PyCEpcRtySCqsVUKhUHDbhIjtDApJra6uYvfu3dA0rWlISlEUZLNZrKysYGZmxvP6inZ7wtLSEh5//HHPbWma5u7HwxSSEnK5HEqlUsdBHflz8IUXXsDs7GynmzZQogVELytJtQoaUjwMSRHFJ7cHjnJCQdd1fmaRhz8kJY8ZbNvuyYmMoCBBUCWpqakpXLlyBdlsFqZpuuEIXde7GpIS1TTjLkroN3nb5ECUoiio1+ueY1px4hnwLmi4cOGC5zj56tWrqNVqgYsewsY59Xods7OzSKVSLU8I7dy5E0DzttXiWF9UkhXkkJQYF4Xdjlh80enChj179rjPm1xlSx4vhbWw99u7d6/nZxHeEvuuCKvEFfR8tLPfiuvKx1+Tk5PYsWNH6HW2b9+O3bt345ZbbnEfQyqVcqsUtmqD2cmJ76ghKfF69atqjtDJfmeaZmBb+25SVdWd4xIVwfL5fOyqZuVyGbOzs00DYUHj3mq16rmOqIrsv1ycoJmYdzp48KB7vVZBYnne4pVXXsGLL74Y+f76rdU+VSqVsH379tBKUqVSCclkMrRKmaiiGMWrr74a+bJRWokmk0m3ktSGDRuwtLTkVrZrJiiAJyryi/kMMdfYT6urq+4iLeocK0mNNsMwcP78eWzevDnw7/18bfsVkmIlKSIiou5gSIqoz/zt9o4dO4bZ2Vl3AkkcvMtVokRbuHQ67WmJ568klUgkGipJiVZzckjKPxEQZVJBuHjxYstJ0VYrGpLJZENIKmjQ4v+dGGzIJxTE78Sq0rBKUqJVgQjYiAnTbdu2NUxq+SeH/IMPue2EHCxKJpMNq7lEMEv8Jx67eGxTU1Nuu0X5+ROvh7/yWKcBDLGCLmiyWL7duCv55ZMNtm3jxRdfxMrKCqanpz237w94yO1b5ElsOSQlbleEicL211qthrGxMfdx+Ce1g/a7oAGrOGmTSqWg67r7etxzzz3Yu3evG3STiQph4rlLpVJYXV3F9PS0p4KVvxKBaL8nP/cLCwvYtGlTxyXqexWSGhsbw+TkZMeVpORVtP6gYBRyBa5hIE+Q9zIkFbVlJbXWacsNovVI/uxmJSmKS1EUZDIZz/eYXDW1n+32ggIWGzZswOXLl5HL5dzAfNhlOyHGC/18vJ3yt2Wv1WoNlaTEcyQ/rpWVFfdn8fqLqjBBLbWDjqFEZaWgcV6YVu325PsWxwJiIYtcFUscj/uPF+Tqs91uo6Wqque5vf322yNdb8uWLQ23Y1mWG7KK07pPpiiK+7yLCiztHD/JIalTp05B13WkUqmm1ayz2SxyuRzy+bz7mMS+FaXCWyeVpMT7vtV7X8xlRLmfy5cvt7UtYffbSUhKnMDtlVwuh3vvvRczMzOYnJxEJpNBoVBwKyfHqSRlGIZ7vKHrekML2KAgi6Zpnt9pmoZcLtfRe1Xcj79qe7NjIfk9l8lkIoceB8FfxdyvXC5jx44dns9Iec7h0KFDSKVSqNVqgftWnDFsnGPHKPOZqVTKrSSVz+dRrVYjhQyC5t/e8pa3IJvNusfErfaBXmCLv+7q5LuCBs8wDLz97W8PbTvcz0UJ8nmHdDrNdntERERDbjRm5IjWkFwu56lCI1Y0iUljubS/v7JUOp32rLYOqiQlJmzFoFkOSYVN8MUJSYlqKc20Ckn5K0lt2rQJDz30UMvbDar6If/uLW95CzKZTGBISrT4E20tgPCBkr9lgpiAFROR/ol0oVAoNNyeCK2J10QEbOTVs/4TAiJMBTRWHmvWOqIVx3Gg6zrGx8dRLpcbbsdfSaqTdntiZV46nXYnQv1VcBzHwRNPPOF53GKbDMNAoVBAuVxGMpnE2NiYu+peXnkunv/FxUUsLi5iw4YN7nOZyWQ8+7zYD4TJycnAku9iQCsCFLVaDfl8Hlu2bEE6ncb09HTD4NsfWASur16dnp72BLcMw/Dsn/V6HTfeeKNbUQGA2wpzWCtJjY+PY/v27dA0DeVyue2wkhyykleoRxVndWk/5HI51Go1d9V0LwQFDal98mcxEUUjf/5EDUnxfTb6unViQRx7y8fP+XzePdHY79CQ/LgURUE6nUa9XncrFokARrfb7Wma5oYqhrmSlPw6+Y99xSIUQV6cIAegVldXPeOKDRs2YHl5OXD8GRR0ALwhqahj1laVpOT9TIxdRZArmUy6jy1qRapuH3PLFa784aeoxAk6se/6F4y0sz2dLOKQFznNz8+3dbycSCQ84cUoIalOK0nJr0UQEeTK5XItn9/z58+3tS1BOnkt5MpgvVIoFLBnzx7s3bvXbatYKBQAxJt/8oekrl275rYsFYLGvf6FaGGVpOKQQ1Litls9Fvk53rZtW9v33Q/+72c/x3Fw5513YnJy0lNJS7w2opKUCCP5xRnDxrls3EpSYtweJWQQNv8mL2aUv1PkNoGicmIv9GquZ5SUSqWuBZvEnCWNJl3XsXnz5tBj6l618w4izlFks1m22yMiIhoBDEkR9VlQiEaUec5ms+5kixy6EG30/KvO/BOdYlJXDO7EYN22bVQqldBJRDmU04xhGKjX6y0Hoq0GIP6Q1OTkpDthJvM/V61CUhs3bsT4+DhuuOGGhsuoqupOcIjwi3xiQn5M/vsRE7Bi5WyY6elpt5WhTK4k5W+3d8MNN8C27dAqTv6Wb2JVdDuTAfV6HYcOHUI2m8WZM2dw9epVz9+70W5PrD6sVqtuuOvq1as4f/68pwqOCGzNz897WkvIpdonJyfdSlKizYLjOFheXvZMgs3OzuLs2bO4dOkSstmsextySErchxya2rhxY+CklTzJJipvidXLwPXV3EEhKTm4JfarfD6P8fFxz+sr79e1Wg27du3yvBa7du1yQ5JxBtSLi4sNj6PbEz3iM2b//v3QNA2Li4uYm5tr67bk5z6VSkWa5Jf30V5NOLbDtm2MjY2hWq12XAGsGVaS6p5qtcp2e0Rt8B8rRGm3x1Wu5Ccf64qKDuL3vQgNRblNcay4Y8cO93gnk8nAcZyuh6TEIohetRfsB//YLazdnhjrivGPGMtcvHix4TntZiWpZgtL/FWsxIlyecwo7ieTyUDTtMDXSYwZWlVfiUq+j6CxsRD1xFgymcT4+DjuvPNOAI1j8DjkkFQniwHEe79SqbT1nMkhqShtMDupDiIW/Nx3332BfxevVy6Xw44dOyJV6urmMXynlaSA3oakZBMTE8jlcm7VsKB2m0HK5TJWVlY8IalyuezOM4h2Y0EBS1VVPc93lJBUq/bvYhvkKsit5tLkfWL//v1Nb3/YRP2OEs+pCAiJgKH/vderSlLy/ciLz2RhIakoleLCWq7KQTHxOh85csS9zNLSUkOl+SjkRbVhGJICnnjiCZw8ebIrt8VKUqOt1Xgzk8n0PSQlziGwkhQREdFwY0iKaAiIsvNy+zZ/SMq27Ybwzz333OP5WazoFZNO4naTyWRXKkmVSiVMTEy0vFyriYaoE7SGYWBhYcH9OWgC2n+SO5VKYWpqquEyjuO45dXFfYtgj7yCPeh+xCSPaL+mKIrn+Tpz5gzq9TqSySQ2btzYcBtySEoOEimKgn379oWeEACuv/ZyOE6eDI07iLcsC5qmIZvNolqtNrRL6yQk5V9JLSahALgt60QlqVOnTmF2dhaapmFsbMzzPNm2DcMwsLS0hJmZGXdfyWaz7r595MgRz/N/4sQJN5glt8KbmppCPp9HOp12H5u8b05MTAROrFerVfc5VxQFtVrN8xrccccd2Llzp+c64nUFrr+fU6kUJicnkc1mMT09Hfr66rqOiYkJVCoVFItFmKaJBx54AED81cH+CaKok89xiDCTaJVjmmboJJ4/hOfnr5AW5bG+8MIL7r8HFZIKet9pmobp6emeh6RYSap7Dh8+3FF1AaK1rFnINm5IihO4a0M3ThxVq1XPSeWgkJQ4huq2KNsvjl9FddtkMumOHfyVQDuVz+dRqVT6urK92/whnq1bt7pjVRFCchzHXfAhjs/FieWZmZmG5zTspK9pmtA0za3wFcQfGIlSAUq+fbH4SISe5Db1YZ9z3a4kJe+nzSrORH2fqKqKsbExN5jSbrs94M2QVNSFDc2I8ZVpmrFDgnJIKkqAo5NjvajfX7lczh3Tt/qcMAwjUgAiik7GHGKf71dI6tZbb8X4+Lg7zgWihVfn5+dx8eLFhpCUGAu9/vrr7me0/z0o5m6EKCGp119/ven2iM82uZWwaZpN31fy35q1lhxG9Xod2Ww28HNQvH7y51+9Xnefm04qSfkXEUYhtueNN94I/HsqlUKlUnErzMuLGJsRIalSqdQwfybIt+M/Tm7n/f7KK6+0vAzb7QHbt28PrAzfDgakRlurwOPY2FjfjrfFnHSvK0lxjE1ERNQdozkjRzTi/C33xOrafD7vGXiLg3wRDrn11ls9tzM2Nub5WQ7viMkb0Tag2eR+1JBUsVhsuqpVaLWiM2qp/7m5OVy4cMH9WVVVnDlzxnOZKJVARCjppptuwsaNG93nRKxWHxsbQ7lcDr1NERgSYRsx4S+IwI9MrjolT/iLlohy8KZVmEVUMfK33hOPIeqA3jRNd6KrUql4yoOLvwtxV/L72+3l83l3WzVNc4Ng6XQai4uLqNVqDROVYgXo0aNHcfnyZSiKgunpac/9iJXk8v5aq9Vg2zYOHDjgtuYDgBtvvBGFQgHpdNp9rP72e3v27Gl4LLfeeiu2bt3qPg9BJyL815NDjWKwOjU1hVQqhfvvvz90kk88z6K6l9zOMuiES61WCx1k+ycd/avkBdG2sB2inaVYVd9sov/MmTNN903/9kbZj+Vg1KBCUs8880zD7+r1OiYnJ6FpmhvK7BZN09xV0pZl9XQ12nqiaRp0XXdbZgBw2/+MsvPnz7fdApNIOH/+fOhKfLmaZZSTz3Fa6lDvlUolnD59uulletUi8dKlS+5xjnyMMj4+jiNHjqBUKvW08lirY1tx/CZam2/ZsgUzMzPuMVw3Ww6KBRrD3m6vGf+YUFRgchzHHduUy2VMTU15FgE1C7b4q8GsrKy4J93T6TSmpqZCx7P+wEhY9Q+g8XNJURR3YYYYk/krOIdtrxgDdPM9oygK9u7dG/r3qKG9qakpzMzMuD930m5vx44d7m10EpKSA3SapsUO6cghqSjvnU6qg0T9PBIBsijfd4Zh4NChQ21tj1+zamlhXnvtNQDXn5d8Pj+QE6xxPvN0Xcfq6qrne0l+zJqm4erVq7h48WLDcyEvlBKXFcHXsG0pFotN9xcx52Gapif0G7XdXjeVSiV3jNgr9XoduVyuaRBUXhzoOE7XQlJxP1PF6xZ2H3IlqTjE+2x2djY0gCVX95M/Hy3LamvOIspn7HqvJCWOJbrdDppGk1jYHGZ8fLyvlaRSqZTb2aBXc3dst0dERNQdDEkR9Yl8AHvTTTfh7Nmz7t/EhGyhUEC1WkWlUoGiKJ6QVJSBsmjLB7xZXlyuRhUm6gmslZUVTE9Ptxw8tppU3rp1KzZv3tzy/uQy5sD15ykoJPX00083HXiI0NPOnTuxd+9eN3gjBtbj4+OekBQQ/HzJwSd50qdYLDaUA5cn5fwT/oqieKoV+Z9//8RcLpcDcP1khHzyW6zMFu3mWhGrsEVIT4QEPv/5z7sTWkKnlaRyuZz7HIkgglhdK0rk67oeGJIyDAPvf//7AaAhJKXrOmq1mmc/1zQNmqbhtttuc1dMy0TVI/Fv2S233NLwWN7ylrcEPrZm5HZ7YlJQrKYX79+LFy+GXj+bzWJ1ddUtUS9u0z/xdfjw4dCS7f7XT7Qq9Dt27FjTxxJGhAPT6bR74skwjNCJyKC2B/7bi0tMMjqOM5CQVL1eDwyZRVmZ3K6VlRW3KlfQRIgIHFI84jNoYWHBDeMePHhwqNo4BllYWMCVK1dC/768vNzTSmO2bbfVNoJGS7MV/HFDUjRcLl26hPPnzze9zJkzZxpa+HbjxJFt2+5nrHxslc/nceedd+KLX/yiW+Wh2xRFaXkyQRzjCBs3bsTY2FhHrcWCmKbptoeOe7w9TPzHy8CbYy45BHfnnXe6z6Fo1eY/BpydncXc3JwneAAAFy5cwD/90z+hWq1ibGwMd911V+j+4Q+MNAuQ+BeoiMrL8oIj/3g26LhV3I48DuiHqJWkNm3a5AmzdVJJSiwQkRcatUOMv8X4LO72yCGpqPfXzvfUlStXIrXiAoAHH3wQQPSQVLcqSTULAgJwx55ysOPSpUsAru8LolJzv8UZA+q67o69/K+jCNqJBQ+tKknZto10Ot10vCbmGsKIz2x5fi5oLkd+f/QqKF4qlXp+TF6r1VqGpOS/ifkpf8BQPFdxQlLtjqvDvrNTqVTD/EiUfVG8zyzLwtzcXOBl5H1APNZSqdR2Jakoxx3rPSTVi8qjDEmNrlah5kKh0NW22c2I74jbb78dhUKhZ+/TVlUMiYiIKJrRnJEjGkH1et09KC8UCp4whKgUND4+jmq1ioMHD3qqFUVd9SmvfpUrSQFvBm2CRA1JiXKxrbQafIgVFa3s3LnTc0IjkUg0VMhIJBJYXV1tWmZZXt07MTHhThaLFhf+VYbib35yuwh5+8UKZ/9l5UpN8sAokUigWq26r4l8giSoMpTYPyYmJjyTLKKylGVZkcpMy+32arUaDMPA8vKyu7olqHpWVHIlKdM0MTY25oaV5HZ7qqpicnIS9Xq9IVgilwwXr/m9997r3oeqqqjX655KUslk0hMSEavMZZlMxm3bGHflYJSTamLb/CGpu+++291GTdPw3HPPhV4/m82iWCx6JmWDJiMvX74cOsiW98GlpSW88cYbge/rdgI1YoJUtJ0UE0jNSjy3mrgTJ1niboeoUBA3CCK3TxCrqONaWVkJfEwifNiLsIBcPSzos/rcuXMNJ7MpmPwe0XUd9XrdDY8CcE/QDjNN05qevKnX6z0NrdTrdU9YWbwfaW0RrW+DyN/VnYSkhv29tlZFqUAjjmujBJLjBEtFgBto/D7buXMnNE1DpVLpyUl7RVGg67p726qqutVfhGw223CcKC+Q6KZMJuNWuBnVk3JB1YVFSEqEh971rnd5gmaiXZ7/9X/jjTdw9uzZhqCDYRjYu3cvzp07h0Kh0PS58i8qarbIyF9tVVTBEmMZAA0VnIPIi0S6EZISj6/V8XGUtm5BcrlcV95fnYT7xHULhUJbIalCoRCpsrV8f+0szDh16lTkil3idYsakupGIN9xnJYhKRGOEostXn75ZaysrLj7ez6fH/oqFLquu99H/uMNUalajAsdx8FLL73k/l3M3ciitMaU5+n85DkPuWq4/Dz626j26jnuR1BdVD/3L8AUxD4vFsGJebW3vOUtnsVuL7zwAoDWISkxLjtx4kTb44uw+8jlcm1VHhLfWc3e30Ht9o4ePdpW20D5NpoZlpBUs4WAvdTtVmNstzd6FhcX3fdAq1BzoVDA7bff3pftEpWk8vl8T0NM3aykRkREtJ4xJEXUJyKcIhMT46L06/j4OGq1mls2+/777wcQPSQV1m4PQMOJAJk8IdzMzMyM24qgmW6t0HjooYc8g9+wkBTQfFAb1JJPhJHEcxZlgiGskpQ8SSbs3LnTDZOEVZISISl5UmV+fh5Hjx713JZcSUp+nUTYKeoEmWi3l8vl3MnG5eVlbN682W35KD8/cdqGiQnDRCKBSqWCyclJt02EmLwUK122bNniBraCKknJNm7c6P47nU6jUql4VgCKFeki5FAoFHDHHXd4biOdTuOb3/wmbNvGfffdF+nxyM9DlJCUHFC0bduzfySTSVy4cKHpJE42m4Vt2577CQsRRQlJyZWk5N87jtNWlZnl5WVMT083VFlotnqp2aSgv22cf3B/7dq1wFZPcvWquJNicjuC+fn5WNeVb0OEFmXitevFRLUIQgLBlaSWl5dZySUi+cSJmOwXn0WmaSKTyQx9cEN8loYRQcLZ2dme3L9hGJ7PoFKphOPHj/fkvmhwgvYzUX2o05CUqKLxxBNPtLwsT1h0X5STSiIkJVogN3P48OHI923btmcBgXz8kE6n8a53vcttW9ttovKoeOypVKqhWmkmk2l4blKpVNsVOMMkEglkMhn3vbSWTnDIlaTE6yhXc0mlUkilUg2hgmq16u5z/lZFk5OTWF1dbRmM8R8fyS2g/Pz7nzihJR/Pb9u2zXOdoNfJsixMTEx42m53IupnnqqqbZ0cvv3225vOCUTVyX5brVaRz+cxMTHRVru9LVu2xApJyd9ZcVSr1Yawi5//9RL7VbN9T9f1rlSSchwHmUymaZhCVGAS77+FhQWsrKy4cz9RF8ANkm3bGB8fh2VZDc+3mGOwbRu6riORSHgq/gYthPO/NkGL06KEpFKplPtZ5X8/+D9f/Au4uqVfISlRSapWq3n2l5WVFRw+fBiqquLKlSu4du2a+zl62223eRZWiee01TzEiy++iEqlgtXV1a5XklIUBR/60IcafteKCNxGDUmJ/UJUxW/nmCZKSMo0zYbXX7wX+qlVddJe6XZICuC4Y9ScP3/e3d9btdvrp3aP0eLi/kpERNQdDEkR9YlcSUoQJ/rHx8ehqqpb/ltUBRKhqjghKTE5LQI9YrDub0EmS6VSkSZ2d+/eHSkk1ardXhzyipCwkFShUMDExETobQSFpABvsCdqSEqsUpQHPUGrzFOpFL7ne76nYbIEuP46iVV5gLflg9zGRhDVlNLptGdiO5fLuVVDgh6/4zg4deqU+7MISWWzWXd7S6USZmZmPNt39epV/OM//qOnAlcrYmJIURRomoZMJoNNmzYBgBuEEpe57bbbALxZfUeuktPsdRAhKXkfFG0jmk0GZTIZLC8ve4JpcURttycuI1bJy3+bnZ3Fli1bGq4nXutMJoN6vd50Pwaatw6R90HLstyKW88//7zn9+2EQJaWljAzM4ONGzdi9+7dgZfxT8o1K5Ov67obDAMaB/i1Wq3hvQ54Q1JxJ0Hkx93uyYlyuRx4ckl85vZiNWerSlIrKytrdoKk2y0k5P0zm826leI0TcPCwoIb4Bxmrd7D4jtBbq3STf6QlHhP0toiQq62bePVV18FALetr3yisp0TdEtLS7h06RLOnTvX9LPLtm28+OKLbT4CCiO+R0RFpyByJSnxfg97reKcjJOPd4O+z4KqfnRLIpFArVZzjx12797tHqcKMzMzDeGLZDKJQ4cOdXVbVFX1VJIa1XZ7QUTAX67UJI8zk8kk0ul0Q+hbVJiV9znRCl20CQ8Kqcv8reSajWOCQlL+SlKysLHkBz/4Qfd++/k6ikpAg9JJJalisYiJiQlMTk62VUkqrnYrSbUzVhCLr4LCOcCbi2/aqSTlX+Bh2zamp6dDj5Vt23bHUuJzdXl52Q2iplIpjI2NDX0lKeB6yCjo/WcYhjve1HXds0DHtm23paNMXhwn7xfi3+Pj4y1DUoqiuAu1ZEHtZIHrLUd7QT4G69XiCDGvI44b5PF3qVRy5xtrtZo73xm0T4nntNV7UVTM9Y83ohDfP82OI9oJiYp9xl+BUBYUkhLH0f4gVlDleL8o8zVBt7O4uOip+NsP/Q5lCSIktZaC5hSPf+HOsBxPi+9YIiIiGg3DcQRBtA6IcIpM13VkMhnceuutbsjCcZyGSTn/pG8YEZKyLMs90RClklTUkNS+ffsihaS6sUJV8FeSMk3TM2kgqh098sgjobcRNrEtV5KSwxphA215wlMe9IRNhAJwn1d/uz1N09xJJnlSxbIsPProo57bkE/Y7Nmzx/23XElKtHaTWZblltcXP9u27YakRJUr//afP38e6XTarYzTbKJQkAel/gBLPp+Hrus4dOgQksmkG5LSdd0Tkmo1iS1CUiJUCFx/b7Sq4JPJZLBz5862J7ujhKTkIGMymfTsH+I96b8Neb/LZrPQNA2Tk5NN7ydsXwbQEFASlaTESSbgzRW3rfjvQ5ycEhP/QZ5//nnPCe1moTfx2oe95nK1CVkymYSu6573T1Ty50azk8OyEydOeH4O+3zoZSUpeZI4aD9qd4X8KIhbvaNVK0n5c05M+IuQ1Pz8PLZv3z6SlaQMw3DD1Zqmwbbttj7voqwEFieh5O1hSGrtEe32NE1z23mK7xJ55XqrkFTQZ62maajX6+4xiCBXegPgBmKpN0TrG6DxBJcIPzYLOwtx3v/iGBQI/j7rVWs74Prx05UrV9zA+sTERMOJ3C1btjQch42Pj2Pnzp1d3RYRkhKBw7V0gs/fbg+4fvwuFgqlUik3JCW//qLCnPz99vLLL7stxRzHabnQwT9ebnbMLG+fuKy/kpRsbGwscDwkFiFFrcrcLf6xRr91Eu7TdR0TExN4+OGH26ok5d8O+f9hl2m3klQzQSdkxT4YFvgUIZ6o4xCZ/5hYhIDCPjNFmzrxb+B6pd50Ou1Ws7v33nsHUnmj2XtTJsIpk5OTgc+3OB4JCkkZhuEGLAG4VRHlkJQIvfjH5M1CbOIz29/Os1qtuuPgKHMH3SAfg4kgey/uQzxH/kpSYsGJWCRXKpUaKp8LUcclIiQlFibGId7r3R4Xt6okVa1W8fLLL7vf5XIbxqBjqAsXLmBubq7pffrHehcuXHDHes1Uq1XPfbYaG8clKn2LFnvN2nP3mpgn7uZisUEfj/Uq7LhWDUvLSb9+haQGvb8SERGtFQxJEfVJUOWTr3zlK0in07jhhhvcyYdqtYqxsTHPAW/U1alySEqcaBDXu+eee0KvFzUkFfWyb33rWyPdVhRySEpVVeTz+YaqTOl0uukAIZFIBP49qN2ePPnhnyATz6m4T+D66ypCQEH3ERSSEtVL5PZs8uWaVROST9TIlaRuvPHGhsuKNlKCeN6y2axn5ZlYCSlW34kTl6qqolgs4rOf/WzgtsgTEvJj8Je+zuVy0HUdly9fbniOREhBbG/YawW8GZIaGxvzhKTEyaYwmUwG73jHO9oaRIrH2Oq6N9xwg9uWI+jEhb+li7icPCGrqqrbYjOICOKETQTIVchEJSkRABGiTiQcOXKkYfKu2XPgOA7K5bJnArRZuz3xOXfixInAln1hISlx0qHTSlLifdPKlStXIt12L0NSwJv7YdAJgjgV3zohBy77Je7Erlw1LYh8wkqcJBLvm1qthkKhMPQhqaD3VaVScfdV8fndTpWCKCuP/Su7GZJam8R+JrcFEgEBOdzUKtz83HPPNfxO0zS3sqP82bWwsOD5Wdf1oX8/jjL5ZJscmALePN6VQ1JhxwBxgmy2bbvB/35XklJVFaVSqWll3SBTU1O48cYbu3oSRoQo/G3p1gK53Z5cSUoOSQW12xMhKf/JXfH9ks/nAxeEyOKGpPxVp5LJpKd1vWx8fLzpMUk3KknFuf4oV5LK5XLI5XLuwod2wyRioVSr4+B2K0m1Oo5qNyTV7uIGuY1c2P3L5AUlYltKpRKy2SwSiYQbcBmEZuNZWT6fR7Vaxb59+xqCjYqioFwuu583ooW2XMVHzFs5juOGOuR5H1HRTm4JGjXA5Q/17t+/3w1y+re1V+RAUK9D5clk0lONEQDuu+8+dx/SdR3FYjE0JCWHTJu9H8UxolwRPw45yG9ZllsNNUyUzwZFUbCyshJYFUrcz9LSkntb8j4YtJ8Htcnz84+tKpVKpHGxWEApdLsi66uvvgrHcfD6668D8M4ticrMvXLu3DnPz3IlqW7NhbTzXdHNsUq/q4CNumFdLJhMJrF169ae389arSZPRETUb2tnRo5oyPkngx3HcVfzAW9WopmZmcHu3bs9B7xxKkmJE/X+1k9TU1Oh1xNVg6KIUkmqm/yVpMbGxjyTBolEomVYImx1b1C7PTFpXqvVcPjwYc/lxaSa3G6vWq1icnIStVot8DkMC0mFtRyJs/JQhJvCJknFqkr5Z7FN8mrsVCrlruSVK2qJsuoTExOBEzxPP/2057blSlL+kJRhGMjn8w0TS/IkqTihEjbYS6VSgZWkcrlc031AURRs2rSp7ZMJUSfPxGMTJ4BkmzZt8lxG3nbx77GxsYY2LzJ/5S0/f3UPsQrTH2iIMimtaZo7mRyFWBXtD0mF3Ve1WsX4+Djm5+cD3zthISkxiR03JCXaWwhhJfzliamwoIl/f7h8+bKnah+Ark7WyYLe6yLc2GuDmLSLG5JqtcJW/u5QFAXZbNY9QSJOjA57KCOokpQ8QSj2vXYqSclV58KI7xz5vhmSWnvEynBd192KF+IEl3wCsVnrEcdxsLS01PB7cQIsm816PodFlUChnVYrFJ3cqtXf3jaVSnkqdDQT9f3/+uuvw7Ist9ps0PdZr9vttbs/5XK5toKnYfzt9tbSSvCgSlKpVMqtILZ582bcdNNNDe32ALiVpAzDcE8Ii8+EiYmJSC2p/SEpsWDE35LMPy4vFAruGDcsJNVsHCG33W6XOBYBWi/OUFV1oJWkwsICUczMzLjHXJ2GpMS4udmxW7uVZVp9FrUTkhLjkXbGpP6QVKvPDtH6DIDbPjWfz2NiYgKqquLBBx+MvQ3d4q/CFGZ6ehorKyvYvHmze7whnvd77rkHr7zyijuXICpJic95MR+RyWRgmiaWl5cBBIekmlUF9xPPufwYFEVBPp93v1PbWczTDvEd0qrFXDcEtdvbvn27+2/LstxWmvJ7WjwnYvyQTCZbhqQ0TWs7eCqPiTRNazq2ibofisuGHUPYtu2ZW/O322u2jWH8+6N/Tgdo/J548cUXG8LGUcZ2carblUol6Lruvp/kIFipVMLly5cj3U47Tp065dl3xDxxUFvNfnrmmWe6dlusoBuPfw5kWCQSCezatcv92f+Z127bXRn3FSIiou5hSIqoT/zhF03T8PDDD2PTpk0A3pxcvffeexvaCcitvFoREz/pdDryyYC4laQGHZLyt9trVkVIXCZom8XkoliJCrz5Osnti4KI18gwDBQKBXcyxy+s3Z48uSxCbc3KeAeRrx8lJCUmAkUgxzRNN1inaRpSqZTnxGcymUS9XndDYP7JnAsXLrj/lrfBMAzPBJoISb3lLW9xfycm9PxVvPxBIlk2m0WxWMTY2JintV02m21ZGSCdTje0u4yincF2UCWp+++/H5lMxrOvitdB3E+rVnutQlLyJIH4t1wxTPw+6Ppnz55tOEka54SCaMskD/ajhKR0XUetVotVSeqVV16JPfnsX0VuWRauXLnSdJ/2V2ILc/XqVdTrdU8VtEKhEGlSMq6g93rUFc+dGsRETNyQVLFYbPq95w9JifeTHLoc9lBGUChJfq+J/aFer8d+LFH2Wbbb661heS7l9jXie1p8BvgrSYUdE1arVfekixzmFO32RLsxwTAMz3cIK0n1jmiNI9rZ+N/7InQQJVwQdZ9dXV2FaZq45ZZbAIRXkurVa55IJFoeZ4XJ5/Nd3xax/3cSNhlGQZWkEokE7rvvPgDeqsfy6y+PgxYWFtwAuvjcaRWQAsIrSb388st47bXXPJf13/+ePXvcsETQeKFQKLQMSXU6PpZvo1X4fZQrSR04cADAm6GLdsNeIjAT5ditF4sJ2q0kJcb9cbcpaJzWqpJUJpNxj40ty8LY2BgmJib61gooTJyQlDguEI+3Xq8jm80ik8mgXq83hKTkgEw2m0U6nYamaW7ITJ57mJ+fx/T0dOxWr60qmInnvlvkULNMPN4olYk6FdRuT6YoCur1OvL5vKfyuXzMaJqmW0UxjKZpbtu8RCKB+fn5WGNqubK2pmlN97NcLhdpP1QUBTMzM6GXtSwL+/fv92yD+L382fTMM8+4Qclmz4F/cRcQHJLyB4ZOnDjRcLmgNrF+S0tLDVWawpRKJSwtLTXMOYltjBP8iNsislQqeZ43MU/cy4B9FIuLi137jhmWceCoGNZ2e62srq565h3b4W9TT0RERO1jSIqoT/wtpTKZDHbs2OFOxMorUIOq7cSpLhRUSaqZ22+/PfLtZzKZvk7Kyq3tOglJ+R+fmLDxTy6KIJFhGA2TkcD1gWsymXRbCoqgi39FsqCqqls5yn/f8vZt2LABy8vLsUJSQlglB9EqR/5ZtHXL5/O46667cOONN7rVeVKpFBYXFzExMeFO/mma5oaknnjiCc/tLy8vuxMCjuN4QlLyBNpdd90F0zRx++23u78T+6k8USmCLGH7V6FQCAxJpVIp9+RLGEVRmrayC9POhMf999/f8BhmZmbcCV1BDkkBCG0jUq1WcfjwYei6jmw227KlhPi/aEuYzWYxOzuLK1euhE7uLSwsxA6kyMT7Rb79oAk+QUyiivYqQZWkgiaJUqkUjhw50lDuvxX/id5kMomTJ082TOTJE4n+VoVhTNN022eK/SXuZHtU/s8s8bnTj5DUICbt4k54KooS+Lntvz3xfXzbbbe5n5Oi9cuwhzJENUOZvH/Lobm4r1mUiXR/+wuGpLrr4MGDg94EAG9+1ohAqnzCT3zW1et1aJoWeJLWtm2srq66gXLxmbiwsOBOaPsrSSmK4vlMNgyj5fsx7gkWui6VSrlBeDmIAlxvtysWCcgBzLDjoajvf/G6i5OnQce7QZU4u2VychK33XZbW9fN5XJdPeG9c+dOTE5Ouse9a6ndnghE+ttNiQpigr+ajjhxLlbXi+uL47Cbb7655X37x8tiW8RxmixsvDUxMeFZ/S/ftnzi369blaTE52ur4NxNN9000JBUJ/utPPfhr0wThxhDtqok1e5iglbVSYL2IbEYqVW7PVHJNA6xiEu+rWZt6jVNQy6Xw9NPP+0eq919993YtGnTwD9zoh5vZzIZtxq6+Eyo1WruPiRa6onPUnk+RoSxxeuYz+eRyWQ8cw9zc3PYvn27p91elNDq6uoqJicnmz73zb4z4u6Tzz77bOB3rQio9CMoIEJSYe/XTCaDWq2GXC7n+QydnJzE8vIy0um0+35vtq3iM1/s3y+88EJgVdIgiqJ4vlvklq1BcrlcpEV0Yn4qbJ+1bdttrXXmzBn3PsXrI+YWFxYWUC6XW1aSCgqo+6urnjp1yvP3+fl5d44sbiUpy7KaVpKSq9jZto2FhQW3+rlcSUquPttKqVTC0aNHI11W3g5/SCqZTCKTyTTM2Zw5cybSuNavndB6vV5v676C+Cs2U7CgkN4ws23bM0cVpVJvK53M3RIREZHX2pmRIxpy/om0G264ATMzM+7P8sSuv33S+Pg49uzZE+l+2qkkJcreRzE1NeWuAu8H+YSJCEn5qzK1E5ISFXb8j1uuJBU02V0ul93WacD11y2fzzeE4ISwdnvy66uqKjZt2tR2SEpMGvonRfyDRjEpK7Z5amoK27Zt81SSOnPmDHbv3u1O6GiahqmpKVSrVZw9e9bTjq9QKAROCPhDUjMzMw2/u/XWW7Fly5aGSlLifoMoioJMJuMJO4mQVJQV5s1a2XVT2Pb7K0nt2LEDW7ZscX/euHFj4PXq9TqOHj3aspKUvyKaCEnlcjlcu3bNPemkqipmZ2dx9epV97qVSqXtcIiiKJ6T2a+++ioA70pdPxHCM00zNCSl6zrm5uY8vxcTs+VyOdaJ1KCQVLVa9Uwc+icIRcuXMJZlYX5+3n3s8vu22WPvhD8kJcJmg64k1a2JQb+4kz8iSBlGPAZx8mLbtm1QFAWLi4vYvXv3SLTbCwrF+itJiZawcVfFR3m+/ZUCRUCQumNQE56rq6ue6pni+EjTtMCQlG3bmJ2dxfz8fODr/+yzz2J1ddX9bhb743PPPQfg+n7kD0nlcjnPZ7C/jWmQXrb1OHHixNBPvPu/I6MSx9a1Wg3VatVzLFyr1XDPPfcAiDaJL9o4teI/JhXttmSiZVEvbNmyBdPT021dt9shqUKh4IaCxHtNvAbD1H6vnW0JqiQVxL+4RLSasyzLbbsnPnuAaCGpdDqNDRs2NNxPUJi3ncfWbPybSqWwbdu2WLfnJxbWiOBHM5s3bx7oftKNCmitQhetiHFvq0pSUVpgB13/hhtuwOLiYuh12m23l0gkkM/nYy8EGB8f9xxvi/sP+/zVNA2FQgHz8/MA3mw/1++q4EHiLErYt28fgDePf+v1uqeit1gYKLe9B7yVpHRdx8TEBMbHxz1jNPEZJbfbk5/PsOe2Xq97xvD+y7UKScUdbwRVPwb6X0mqWeU3cQznDx1NT09jcXERhUIBq6urgZWkjhw54v5bvC/E6y3CVVHJc2lRKkn5K/iHEfts0OeeHFi8cuWKZ27Lsizk83l3EYCY72v2egUtiPFXiLp48aLn7wsLCw1zSaJtdiutQlJymCmZTLqLFgFvS0Fd1yOPPQ8ePBh7bs4fIBLv/1wu19Bm/uTJk5idnY11+0B7CyTz+XzTDgR+zV6TfryX1wIxnhyVkFS5XPYs7OlGsJUhKSIiou7hWQ2iPpIH1Tt27PBMCu7YscOdsPKfYBct0aIQVUWy2Sx0Xe/JBGo/J2XlkNT4+DhuvvnmhjBCq/YZrdrtyeQVqUHP+datWz2TYiL40qqSlL/6lTwATyQSmJ6edluRxF0ZLCZm/Kuo5G0qFotYWFhAOp2Gqqq48cYb3culUilomoZkMumuzhQhlnq97oakJicn3cli0zTdNnp+QdWg/CGpyclJ97X0V5JqdmJg8+bNnsk3sVq3V7q5r2/fvh3bt293f85ms5GCPuJEUZSQlLyqamxszG1HuLKy4q5AVFUVxWIRJ0+edK9bLpc7CoeISatMJuNOSLU6aSGqlFSr1cAQ4/z8fEMZ6nQ6jTvvvNP9bGu1srRWq7mrDuX3nNjX5ZCUYRie/Tks+CjU63WcOHHCDVPJnzHdCkkFVQyS76dWqyGfz/ekjYhfs/3jmWee6cl9ilZQUY2Pj4eumH355Zfd11c+eZFKpbBv3z63lc6gS7YvLCw0/XtQkFaeIBSfA3FbD+i6HikEEFTNLGh7Tpw4Efm+6U1xTgR1kz8kJYRVkhIn5vyffUKlUsHKyoobeBEhqStXrsBxnNCQlL+SVKvv96gTxGEnGMNcvXoVi4uLsdqGDMIbb7zR1vVSqRQmJydRr9fdyg8yUREhSkgq6kS//3JhlXd6FZLqxNjYWKSQThxiwYT/M9V/vDxI7VQLEp8PImAZxh+SS6fTbusjET7PZrOxjsNT/z977x0kS3aWeT/lfbX319u5/o632jEaISEDEgghzEqC1QpWxGoDWAUSrPjEEoQCIQgWxK5gEUgQgRC7i4SQkITcyI33M3fm3pnrXV/Tvquqy9f3R/Oee/JUZlZWd1V3dd/nFzExt7uzMrMyT5485z3P+7yhUJ0LlLThdgugA4GAZYy/FMRJqpPagBOtcECT0mnLLbfnxUmq0VjyiSeeqHPD7e3txYMPPuj4GTuR1MjICMLhsKuTlCzqN+vCKY485vGdXIny+bwSBgWDQSU8lljAatKMSGjLli0A6svtyX4k5iB9irQn2U7uxejoKLZt22ZJVjMdgGXhXXjmmWdsz0nKFroJ1BqJpMz3poid7DDvse4cLX2cXRvwMkY6e/as7Xza/G7RaBRzc3OuIilxqdTp7u7G1NQUhoaGMD4+biuSMkX68t18Ph+i0WjD76G7KplOUm79VE9PDzZu3NhQSCmxWL2Un44kLNZqNRWjkDijiKRyuRy6u7sxMzPjSSRlPqOmk5Q+3z1+/LjF/V0QN7VGVCoV1/GuXP9KpYJIJIJcLqfe7/o5yZyhEdVqFalUqunxnvkcyHVKp9N1TtLtSlizI51OY3Z21vP2TzzxhOPf3NpGsVhsW2LaWkPu91opt1coFFyTmZe6T0IIIYS0BoqkCOkQZIIOLG9SF4/HEQwG1SRZBBZrFSkPBywGsHp7ey3Bl1AohD179rjuw85JCrAPburl9hKJRF2A89ChQ5breccddygRlJOTlNjAC6aTlGSdik18o8ClGZiW7yFBJAmg6uc0OTmJK1euqOxRPRtad5KS85RyARJwyWaz6OrqUi4tssBpF8yzW9RwCvg34yQFALt377b8LGUr20UrxSehUGhJz6KI3ZxEUlNTU5iamlJlSZ566ilVbm/z5s0IBoNqUVrahCk+ETeopSDHjcViCIfDqo1IMNHJ6UOCiU5OUvribC6XU4vxhw8fRqFQQCAQwHPPPed6btPT02pxXH8GJahuiqT09txIsFgulzE1NdVWkdT3v/99y7Mkz77sP5/PI5FIrJiTVKVSsV300V3JWokXy/laraaCjabIQmdubk61cX2BJRwOq36lE8rt6dnUdti9t0wnKVmEa+aZthNKeMHunVUul5sKFi+V8+fPt/0YK81qBTydnPNEPKcvtEgbk/7ATsQggXx9/FYsFtHd3Y2rV6/aiqSi0Widk5SMG3K5nG2b8nq9Tp061dSzfeLECeV02CxLyVzP5/NLGm8stb2Ew2F0d3crJymnhSq9b3ESq3gN9JuCKyeRlF6GuFMIBAIW999WIU6h+rxAysd0AjMzM3XOTI3QFzHdBE66uAGAEo5UKhUkk0mUy2VEIpFli4WcnKQ6kUAgsGZEUnZjkWaR77pUwY6MhVvhJCXuZebn3Poju/GPODQ7iYAkGahZkVStVkN/f7/F2UpEGHalpoDFe7Rz505s2LChTiTVCU5Szc6T5PnQndbi8bjFcVwXSYlQU4TeumOf2TfJGOXixYt1zop23HPPPY79m7ghuz3Ddt//8uXLOH36tO32pjjk8ccfV3NbNyepp556yvEchHw+XzfW0Z21BHFDMtuOCMKi0aht4qK0vd7eXpWwZ353fW4pz7U8X16cpJ566imV5Pfiiy8iEAhgdnYWx44dU/M9uzGWjIVEcOmG7iRlJjvqMTdpa5JwKElkMvfM5/MN3YLs+hbTMV53AZV2MzQ0ZImV6aUp3ahUKq7jSbk/UrZyYWFBtW+Jl3gRRwuNRIR26NdTx+fz2TpJebmndiwlQTIUCtmW9NUTEnXc5hZuop/Z2dklzTHWIxLDWytOUqZIiuX2CCGEkM6CIilCOpDlLLAfPnxYWYlLJrjufLTWMBdu9LKEXpGgmonuJFWr1fCtb33LUm6vp6fH0ZVEPx9gMWjg5CRlV05ED66EQiF1Hl7KF+iBE8nmEiepfD6vyp1JVhuwOBnPZrO2AibdSUoXSQUCAWVVn8/n0dfXZxFJSca3XD/BLhjjVDrCdJJqJJLatWuX5edgMKja+XpFgk/FYhHRaLQuEDA/P4+5uTn4/X4cOXIE8/PzyklKHMNEMCFtx3SNWU6ZMXFlSiaTiEQimJubU4GsCxcu4PHHH7f9nN/vV2Xv7MqHbdmyRbXf8+fPK/GfZASLI5aJ/rtSqaTKDOqlIqV9T09Pq8Ci+Qw3EknpJWFM+/1WiaSOHj1qu3gt10CcpFZKJHX16tU6d69KpdKwn1wqXha2CoWCyqp0uu6yYCH9lOkkpR9vJVy53HArFyjYOYxJsK0TRFKtCPx5QbetXy+sRMDz7NmzFsFRNpt1LJEhbSmXyyESiSihpilkNZG+V5AFt02bNmF+fl65xJiuqXZlNIBFsYaUDNLx6paWy+Wa6ielREuzIqlarYaXXnqpqc8Ai339Ulyrluo8FgqF0N3drZyknBbRTIGxHebCnRPmQoaTSGolS3qvNqVSCZlMxjJ+8FJqbaXYvXt3nTNTI5xcbUzM+y/CkWq1qhxalppcoCMLjqstgPaCuA83ctXtBHTBSSv2tRSkrTWaw3gZ20limeBFBOa2jZuAJhQKIZlMNl1CzBSXyPHD4TC+//3v27pBSoxBYhuBQAAjIyPLLg25XCSBpxnENUsXpMRiMfXciENWKBRCNptVYhU7V69jx45ZxjwyRjHdXPVtxsfHVd/mJvA4ffo0zp0711AkarZZmb+b2JVVlDJqjURSXsaUIm7RcUo6Mcu5AYtihZ6eHsRiMVViWUfclCT+YOckpd8fmb/IdwuFQg3byuzsLGKxGObn53Hy5EkVXzh79qx6h7i53zWat0vswC4pUhcgyncJBAJ46aWXVB9l54DUrEhKP8darWZxFBLh1dDQkCUuppemdKNR6XRpH5Kwp8c95FxPnTqFM2fOeIrTehVv6TiJpABrfyttZamxmKXEAeye50Kh4Oh43kgk5dQ2VkIQtBYER8Biv6PPSTsdOycpiqQIIYSQzqHjRFLFYhF/+7d/ize+8Y3YvHkzotEoRkZGcNddd+ETn/hEwzIknXjsb33rW3jXu96FXbt2IZFIoLe3FwcPHsQHP/hBHD16tMXfgqwHlrvAnkwm4ff7sX//fvT29mJgYKCFZ7ey3HjjjZaflyKScnKSevLJJ1VAoFwu4/jx4yr4UalU0N3djbm5OU/Hu+eee2zFOrIIYGac6ZM5MxDeKFis2+RL9qhuR65n1ojIY2FhAbVazVZwIcEr3UlK7NIrlQp8Ph+KxSISiYQKFpoLnPo52wU9/H6/Jycpu+uxmqxkaUknZMFMMhDNvkF389BFM1u3blXbSGBP2oQZ2F+Og46IpBKJBCKRiCrBFAgEcPHiRcf+R0RSCwsLCAaDaoFcFiruueceyzWQfZoiKdN2/LHHHlPPmyxyS7k9fXFenKAkI8/M3G/k6iZ9hQRy2yGSqlarSCaTAKxBO7kGEvwslUqexDXLQcoRmkKKTCaDVCrVlmN6CXzZZf+bSPuRe6S74nSa06JZLsALEmh77LHHVABZsuK90qi8pI7eFu1KzbbL+l6c54TVKk3XTlbiO+XzeUtg9dVXX8Xs7KyjqE5K7+oLI+J86fTsmZn/sugVCATwmte8BrVazVb0qyOL38Bi+zTb81NPPeU5QNysSEqO1axISgRnjTD7ay+ueXY084zrJJNJDAwMWMYFdkg5ODe8LlB4Lbe3YcOGhvtaL4h7Q6eW29u6dWvT42CvYmMnJ6lAIGAZU8gYaKlIP7UWRFJSbk/Gx52MOBMvl+XsQxam2+EkpSdSObEUN61qdbEc8tDQkMUVqhFOgnRJkioUCq5ljnUhh7hFryZLTXrT7zkADA4Oqj4nHA6r73bx4kWV1CEJZfp3PnjwoMUJMxQKqZiPft/1cdHp06dtx0lmf1cqlSxlEZ2+v9lmM5mMbT8lY3pTZJPP59X8U0+M0/EyprRzEXISSdmJZoPBIHp6ejA0NKSSs+y+g9/vx1ve8hZs2rSpoUhKxh4yVmzE6Ogoent7USqVkM/nVaJfJpNR18XtefUi9pZYifTT+u9NkZTf78fp06fVfuV85N2+XJGUuCPqDpR291p3Tnbi2WefbRjzkPtTKpUQj8frnLcDgQCy2aznWIRX8ZaOJFI26suffvppS9LQSmAX95FkCxNzLmsi43IdiXWtRBLSD3/4w7buv1WUy2U1fl4L5fbEkV2gSIoQQgjpLDpKJHX06FHcfvvteNe73oWvfvWrOHv2LAqFAi5duoRHHnkEH/zgB7Fv3z78y7/8y5o49tzcHN75znfiwQcfxN/+7d/i1VdfRS6Xw/T0NF544QV84hOfwMGDB/Gxj32s5d+HrG1MUU2zdHd3IxwOY8eOHdi9e/eqB8KWgynqEfFOMziJpGZnZ1UgTJyRxE3G7/eju7sbMzMzno43ODjo6iSlO/fYOUk1QyQSUYEYmZSLSCqbzaqglh7wqFar6O7uxq233mq7TwnA6aVx9Gwt03lIrtfMzExdlpRdMMYpmG5mxZmLJqvNarvKAIv3Udy85NpUq1WcOXMGwLXFYz0YVKlULCIpwU4IUSgUkEgkli2SGh0dRSQSUZbngUAAuVzOUYTi9/vh8/mUi1ksFkM+n8err76KTCZjOU8JhASDwTqRlFlyL5PJqGCSBA0lG/WJJ55QbbdSqeBtb3ubOo65MCniNPmsGRiXv9sFOpdq8W6yfft2DAwMoFqt4qmnnlLtUa6BZJbPz8/XOTy1EinXWCwW6xblvQRgl4qXwFc2m3XdZnZ2FsePH7eUdBGHPKCzRJnA0kRS4pQl5Q+klFkzTlKmULaZz5l9SrtEUtls1lKOcD2KpFYi4FmtVjE/P68Eovl8Hvl83tJeTNGnPDOyiKi7F9hhtj9xrPT5fNiwYQNCoRAikYjndmJX6nN+ft6zuGhhYaFpJym78h2NcHKC0BFBo/6zuSjy4osv1gmAgfoM76U+A11dXUrY77S4KseTvzmNh7yKgu3K7a12yafVplwuI5/P1y3Kd9p7qRm8LkzqQg0RRO7fvx+BQAB79+4FsNgPmWW2m0XGb2b77YQkCBMRaDgllnQSplBgqSxn/Kg7STn1QUeOHKlz4bHDfJ95dXZu9hqIS1gikWjqfS/zN/2cdJGUWfbbRGIRndLnLqX96E5S0nfoyXThcFi1p1KppN7fekKOEIlELPc7EAhgZmZGubEL+jjGznEzlUrVjdvFudkNuzaby+VsP2c3Ppd3h54UZBc/8TJGkDkEcO097ySSuv322+t+19fXh2QyiT179uCGG25wPIbExOy+u95H66VXQ6GQpz5icHAQfX198Pv96OnpUcKloaEhtV+3Z9pp3n78+HHlVqM7SeltRI4lv5N/z8zMWJykdJFUI5dON5FUJpOp+7vESUy8OFPKPDqTyeDIkSO22+hOUnYiqWAwqJxJvaDHDryOY3WRlFt/XigUkMvlVBtqB6VSybGUnn4ednMku/mMjinqrVQqePTRRwF4c3ddLk7uV52GiINbFXNrN6b7plfBW6O2TgghhJDW0BmzZCyW0nnta1+LZ599FsDiIOLee+/FL/7iL+Itb3mLyjS4cuUK3vrWt+Lb3/52Rx+7VCrhbW97Gz7/+c+r3+3fvx/vete78I53vENZXJdKJfzmb/4m/vt//+8t+z6k8zh//nxT25tBsGbZtGmTrR32emCpTlJmIK5arVoWJkQ4IZOtQCCgnKSWI9qRRaBMJqOyoc1grQQvvARxgcWAslwD3d45EolgenpaTbh0kQcApNNpx3YlTgISsJDrLJ8tFAoWsYsswl+9erUuoGIXzLIr8wdAuVRVKpWOFEl1ArrzkVzDYrGIb37zmwCuBVvMhSlp8/p1l6Ca3s6uXLmC0dFRx8Xuo0ePugYfJPi8Z88eBINBxONxLCwsWIKgdou9cr5zc3NIp9OIRqOqNJ7u+iPXQASM4qQWCASwsLBQFyDw+/0qg1eCmRIon5qaUlbx4l4l2ImkxKVpYmICJ0+etBynXC4jHA4rRxUdWYyQYPpSnChrtRq6uroQj8dRKBQsQURdJBUKhZbkkmCXOWySyWRw/PhxFcixc5LSXZlajZfAl125Rp2XX34ZFy9etCwO6fd6NZ2k7ALDXpxbzL5UFjjy+bxykIrH455FUvPz86qPbzagbLfo0AqRlN0zk81mLaKV9RgcbEbYtlRqtRqmp6fxyCOPAIBa2DCPLfc1GAwqkdSXvvQli3jUqd+JxWKWsUAoFLIsUopjjNd2YuckJeVFvOyjWacmEZ83247n5uYa9oeTk5OWa/3EE0/UfY9cLocTJ07Uffahhx5S/67Vast+BqS/cepDvTilNOMk5aXc3vWELGxeryIp/Z0cDAYxNDSEYDCIwcFBFItFhEKhZZfUljHyWlhEi0ajiMVia0Ik1SonqeWIpCRe4lZu7+LFi7Zt8tixY5b+03TUdSvNpZecbbYPq1ariMfjCIfDTcV6ZJ4uC+gnTpxQ5xgOhxu+d8T5tpNEUs1eO+kz7MRpUlavu7sbwGKfIslCPp+vTkQk91ufD8/MzNQlveltQkQP+meSySSy2ay6lxLXGB0ddf0uutur7nxTLBbrSvbqLtD67/T26+QE5GWMoO9L2rSIpLzEpW666aamXNfs5nZ6uUCJJYigsJk55vDwMHp7e9U8/MCBA+pvjZ5pu/Heiy++qM7di5OUjOX8fr8Svcm90Z8/uz7p9OnT6t9uIqnHH3+8rj2b7q2CF5dgOedNmzbZJgboiWIyvzQdceRc5PlrhC6SeuaZZzx9RkoeVqtVS6KB3ffJZrPKWb0ZvJSRPXHiBAqFgqVsuR1OIqlCoeD6XJltcWFhQcW1lusk1eh5rtVqHS2SOnPmjPoOkkC6Vsrt6ZUgAO+xkqeffrrud3pfQQghhJDW0BmzZAA/+7M/i4sXLwJYtPF95pln8NBDD+HTn/40vvSlL+Hs2bN47WtfC2Bx0vtTP/VTmJmZ6dhj/+7v/q4SU0WjUXzuc5/DCy+8gM9+9rP4/Oc/j9OnT+ODH/yg2v6jH/0ovvvd77bk+5DO45VXXmlqQsPsamf8fj927tzZ1GcCgQD27dtn+Z1u0Ss/6249kUhEBViWK5ISC2oRSZkZQrJIn0wmVak8N3SRlG7XHg6HVdYasDj5isfjKgjX1dXluE9xkhJRqF5uD4CysQcWA84iIFlYWMD8/Lxl0j00NGR7zk68+uqrSkjYaSKpTsg010VSgiyiiUBHxBHSruzKYcmCrxksu3z5MkZGRhwXGMbHx13bjmQPyn519w1ZBLALZklQY9OmTRYnKQkamIuGImAMh8Mq0BCJROqCgj09PSrAUyqVMDU1hRdffBF+v1+JpOLxeN0ClCzICfp1z2azKJfLln65UqmoEpRmcMbv9+Py5cs4fvw4ACgRdjPoQUcRAwi6SCoYDKJUKjUlkioWi7h8+TJeffVV1+3y+TwymYwKENuJpAqFQltEUhLMbhT4kkCoE/p5644oeomN1cIMDEtZCa8ltOQ5k8U66QcKhUJTIqmzZ89idnZWlctsFlPY5Sae8crLL79c97tMJmO5NuvRSWol3Aur1apl/CNOUua7Qc5Fd8Ps6+vDhg0bVKDe6T4Hg0HLeyMcDlvK3ZgiqUaOHHZZ8vr7ohHNBtFFFOoFXdDnpfzo5cuXkUgk1M8iUNO/h5TPNdED43YOh41wal9OYx07kZRZIqoZsZu+XbMigfWIJAisR5FUo3sbiUQswoJ0Oq1+D9Q72C4VsyyR0AlOsSapVAqbN29eEyIpM9FgqTRbcklH5thu5fYymYxtCciXXnrJ0n/aiaTcXGdE9LmUcnt79uyxHbeKu6MdMn9LJBKYnZ3FuXPn8MILL8Dn8yESiajnxwmzJNhqsxSRlMx7nYQMoVAIhw4dArDYjz7wwAPqb04iKZ1SqYShoSFHJ6lCoVD3zk0kEpienlbPqwjC7RyXdHSnpsuXLysxSz6fx7lz5yzb2jlJ+f1+yxjY/H4vv/wyjh496tlJSnei1kVS+lx0OejPiszLdGQsJ8IoEYuKO5jXvubgwYNIJpOqvUt7MM/BxCkpR+6NiKR0RyxBEglEJKW720mMQL6zfM5uTKrPe+ziNZJMOTExUSecc3JmlXbh9r6TGMLBgwdtt9NF/JJUqosFdSGWJOk2er8uLCyovl8f2x87dswxFipOUpVKxTb5Tj/fpYqkvJz7mTNnHAVQOk5iqGKxqGK2piASqG+LuhOunXt5M7z44ot1QrgLFy7g1KlT+L//9//aJqSsBNVq1fX9J5w+fVq1F4kBrpVye+ZYp5Er2KVLlzA1NWX7PEjc3E34SQghhJDm6Ig36r/8y7/g+9//PoDFgOk///M/WyY0wOKA+5/+6Z+wbds2AItuEB//+Mc78thXrlzBH/3RH6mf//iP/xjvfOc7LduEw2F8/OMfx0//9E8DWBzgfPjDH1729yGdSTabbWrCYed8RK4xMDDQ1PY+n68uGCmTQNNJSsoViSDISwaWGxJIufPOO9HT06POR580Dw4OAoDn0i6xWEwF4/TFKZ/PZxEMVCoV5Y4FAHfeeafjPkUkpTtJjY2NqcW+WCymFitefPFF5SS1sLBQt4hhZ7XuJpLKZrMYHx9XE91OXxhYSSKRCHK5XF1ZgHK5rAJiIpIys0wFKcUogio92ClOFOKIZEc8HseePXscz1ECzfIs6aUHUqkUwuEwLl26VPc5CRD+yI/8CABYArJmsEMvt+f3+xGPxxEIBJSgRD/3aDSq2ryclwQmxW0tFotZHISknJyTSCqXy1ms9OXvyWTStqyCBLrlOiwlK08XbZnBOBFJAdcypJsRpZw7dw6vvvqqa5ARuCZO0wO8JpIN2uoFR+mTGgUDzVICtVqt7lzkHomLmv731XSSMkUfhUIByWSy4XhBzv+pp54CcG2hPZ/Pq7YRjUY9Bw1FNOPVSUpfrJBySEePHlW/8yJcOXXqlOvfdYGIiBSz2awlyNjJIikRSHYi0u/Lu6BcLte59+lIHx8KhdDX14fh4WEV3DXvs+64J/MpWVzSnaSkD9cXXpxEM05iLBF2eVkwcBJJOfWbzQj99LbvZdFcXxyScxDBVyNqtZoaJy5lUUCusxtmOQgJwsvvTfdQrwsU5j1YjjhivVAuly2CuRdeeAHj4+NrehwsY5JGi9qbN29W/77nnnuU64s+7mmFSEra3FpwGhDWwlyoE5yk/H6/mmc79dcikjLvv14aVXdlFdz6ct1Jainl9uyejVqthm984xuOn5MxbDqdxuTkJBYWFnD8+HH4/X5Eo1Fs2bLF9bidVm5vKU6C8kzYzTf0ZC6g/v6JW51gJ5K65ZZblNOwYM69zbFSIpHAxMSEep/Jwr3EdpyIx+PI5XI4cuQIpqenLfNVcY0R7ERSUmpKPzf9emYyGczOzqpt3BJ8dZG6/FvGZyLoWC6mSOrhhx+uOwcRgIyOjmLLli0IBALKSaqZOebg4KB6nvVr0uiZthvHJJNJTE1NqXGs/n9BFyBKkpeceygUUtfUzUmqVqtZBOh2Iim5BpOTk2rsIP1nNBqte2dcvXq1ru289NJLdaILEXY5XRs9cU0SzYRjx45ZYkuHDh3yJJzXv5+Z/OI2Lpcxv9v8T+aLy3m3mOjtT9yXzcQGnVwuh/Pnz6tnZ25uDnNzcwCuiaSy2SyOHz+O5557zvJZs21I6UBg+U5SxWKx7v7Pzs7izJkzKvHPLiY4MTHRMGa0HMrlsqfKG/l8Xp3HWiu3F4/H69z93d7HCwsLto75AFTsUy9bTQghhJDl0RGz5D/7sz9T/373u99tscXVSSQSlrJ0f/7nf77sTPV2HPuzn/2sGrzt2rUL73vf+xyP//GPf1wNjh555BHPdrNkbZHL5ZoqibHccnukMaZISpyRxIlDJtZmZl6zSBBwdHRUTZTNya84Y8nxG9Hf36+CoWYgIh6Pq4l0uVy2OEm5fQ/J1jOdpB588EG1Xzn/iYkJi0jKSyDfLVARiURw7NgxnDx5suOcpOwEFyuJuG+YTlJ6KTjJ5guHw0pYom8rLk1A/YR8fHwcGzdudDx+JpNpuJCpB5prtRpisZhqc6lUCrFYzBKcFYcB3XYfgGpPesaiLGzo5fZkvyKSciu3VKvVcO+996rgnywu6CKpUCiknIZ0YYkI0STYpoukarWaClDaOUnJYsTc3BwqlUpDS3ZBzx7WF7NFJCX9VTgcVu8U/Rp5pVKpYHx8vKEYR8Rpcv3sRKNSvrDVz0mpVKrLjDVLHgr6sXt7e+ucTiQLWALFduVOVwO78mHpdNqzqFoCnaaTlDwrXu+JfHYp5fZqtRq6u7stQVcvIilxcHVCF0mdPXsWc3NzlvIMwLXsZq8lQVaSq1evNv0ZfQGgnYhISp5l6QOdkHFGKBRCT0+Pyma3W1S5cOGC+nd/f796p8sCkfTho6OjlvGL3VhL7ukrr7yCq1ev1vU9zWQQO13XJ554wnZ7N5csk+WK9aQN699Dyg+bJU0GBgYs5WSbHS9ls1mLKMcO/VmSBRl9kdQU83tts+b3ufnmm72e9rpFF0kFAgHMzMzg1KlTHS+QcUNKRjX6Dk5jT2lrrVqc1x1x1wprQSRlCgWWSrudpIrFYl2JNACWxJLz589j8+bNTTtJOZU4c8NJjDAxMeHoBgNcE8GkUilMTk4im81icnJSiTY2btzo6hTYaeX2JO7QDE7PhD43csLJSUq/xwcOHLC4dQNWJyk7YZU4wkg7FlfyRsgC/7lz5zA5OWkZC5ltwItIys7xSRe32DnWCHpb10tISumtVouk5F1nImIdcRkLBALYsWNHwzGLyd69e9WxTNF3s05S4vKuCzKdRFISv5W/i/O17N/NScp0ZXcSUMhcrVwuY+/evTh48CCAxfagi4orlYq653r/OD4+Xpe4Jv2jU38nz86RI0fUnF+exXPnzlliA4ODgwiHw3jyySc9v3MlznDs2DHXmI60jWq1auu0qp9vLpdraRLUt7/9bRXLsRNJmczPz+PVV19FJBLBxMQEnnrqKTV2l6SkfD6PCxcuIJvN4syZM2r9yBwrLywsIJ1Oq3iTl/G2mcwgVKvVOrFTuVzGlStX0NXVhVwuh1QqVdeHTU9Pt1Uk5fV7lUoldR5rrdyeGStrJJKS+ZfdGpI8JyLEJIQQQsjyWfVZciaTwbe+9S318y/8wi+4bv+TP/mTqmTV1NQUvve973Xcsb/4xS+qf7/nPe9xFbts2rTJYgX9hS98wcupkzWGLJg3s32nBLHWK2bWlAgkZLIlgYbl2owHAoG68nN2tv+A98Ca7EP2rwfsbr/9dsTjcVy4cAEvvfSSRbDiRnd3NwYHB5Vj3r59+yxBqeHhYUQiEUSjUWU9rjtvNUKCOHb09PTgx37sx5DL5TpSJLWaz6KTk1SpVFLltETgkEwmVbkuvR0Fg0ElLDCDYBcuXMCGDRscj3/kyBFXFynZv5ybZE4KqVQK0WjUknUo4h8JOOrfVYJOEuwQMZAECWT7G2+8EYFAAPF4vGGgqre3VwWKI5EIMpmMJZgYjUbx9a9/3SI8AxaffV2EpYukvv/976vFTbtF+kAgoM6rmUUJvZSS7mwlQVfBLuO9WZHU1atXG7o0mE5SdrRL2FEul5XwT/Bixb5582acPXtW/SyuFrLoaAr/brnllpaedzM4iaQkIGa+J8ysYwkUivCrUCgowUujflQXs4iTlNsCnRzT6f2l46UcQKMyYXoAvFgs2u5P+p5nn30Wjz/+uOv+VpqlJHFUKpWG92CpHDt2TP1b7rcsNkh/4nRfJWDf19enSkHJ/TDbWT6ft+xHL6mjj6d27drVUCQllEolS6k+QYTuXjPW7bZzWmgRUagXliuSkne42ca7u7stC4m5XA7pdFqd11IW6L2IpMxzk75Y7qspkmokVJPtzXvAZJBrjpTAtblfLpdb04seIpJa6lhexiWtdpJaS/NqSQToZFpVbq+R444b8sy4OUnJOMEumUH6o8uXL2PDhg0tL7dXrVaVIFzeE3alKMvlMqanp7Fjx446FyFB3p/RaBRzc3OYn59XJckaIaKNTnKSApoXyDn1i3KvRBRhN04VMZlgJ3gCFtujLuA0RVLm2NXn8+HKlSsYHh4GsNh/eYm7SBtIp9PYuHGj2q9deTSncnv6NnZJLPoYQfafzWYdXafNz1y9ehXPP/98W5ykTJGULjzUxVQizG8FbmVg9XFMrVbDmTNn1PhYSunJPNKt3J4IEoPBoHLTls/qIimzjU5PT6O7u1v9bDe+8/l8mJ+fRyqVQqVSQTwet1wrfWxXLBZtx17ijKXTaKwrbXJiYkKNB2OxGHw+HzKZTF0/GA6HcfnyZdd5oH4fisUiKpUKZmZmbBPPhGZEUjIfbhWJRAKvvPIKarWaKv3uNu4tlUqYmZmB3+/HxYsXcfLkSSwsLODEiROqlPDCwgIeeOABBINBnD59WiUb6XOsbDaLJ554An19farsnpd4i1OiTqVSqRvDVyoVTE5Oor+/H9PT05YEW32bdgqRvCRXAYvvjGw2q6olrKVyezfddJPlZ12QaoebSEoSecLh8JqeLxBCCCGdxKrPkh9++GH14k8kErj11ltdt49Go5aSUd/+9rc76tj5fB6PPvqo+vm+++5reB7333+/6z7J2qdRlr4JnaTaj5TSMp2kREwhpfGWK5Ly+Xx1FvhOi8x6aTyvmNmzg4OD8Pv9uHDhAubn5+syDZ3o7e21iPPMSdvOnTsRCASQTCbVPiUQKEIVN6Rsnx3d3d3o6elBPB5vWfmGVuH3+9HV1bVqx5fScaYoRtqr2C3Pz8+ju7sb1WpVOTIJoVDIIlKS9icOROb1lrYpwpdGmbsSCJTP6M/LoUOHMDg4aCmrIu4ApkhKjqcHSsLhMB555BElUpJ9J5NJDA8PY8uWLQ1FUvKdpNxeJpNBOBzG4cOHASwGtKU0lt5Xi3uGCGx0kdTFixfV4mYkEqkLHPn9fiVCsHNEckJ/jnQnBjl3/d7o7aEZ1xPAuwOJXAtTUCqCi4sXL+LcuXMqoHfp0iVVYnC52C0KeHmPyj0zv0cgEEA4HMaJEycsffJKiTJNByugsZPUQw89ZPn70aNHVXC7XC6r57xSqSjXO1n4afS9HnvsMcu5ST/j1k7z+XzdorX0A16ztYVGi0i62MYUScnv5XnVFwPks6vNUkRSzfQVzTAzM2MRkYmgLhKJ4Hvf+x6KxaLrsyVtKhqNKmGoLmTVKRQKeOWVV9Q7QS8FYLZLXVzp1mZN50/9840C63Nzc3juueccS3c6LbQ4LaAC9eJFvb0txa1GvoMpINJLx8q5plIpdV5LcZLKZDKOIim7c9dFUoKIM7PZrFoYdFs8efbZZwHUi6TI4r3XnaRkIarTBTJuyPhnqQs3MuZutZNUJ80tGnHgwIGOjwOk0+mWiNgaJWK4IfMItz5IBJ6NRCfNlNvzKpKam5tT5ViffvppAPbJN8888wzm5+cxNDRUJx6RUsoimgiHw8hkMiiXy2rO3wj5nFk2fLVpFHs1cXvf1Wo1tQitlyQXUqlUnUjKaVwh/Y5cZ8FsI8LWrVvVZ5pJeJPzOHz4sErgKJfL6OrqqnNnNdur+b52cpIyS5odP368rtyWvj9dpDQzM6PmzMvFFEmZDrC6mFHOudVJo26Jb/p4tFAo4Otf/zpKpZISYogoNBwOW8T/cu6SECX/BYNB1UdKP+WWNCXiJ8FJBC9jd10UJ9dRX6fQ50X6eNYuBtloviJtS+ZlMj4F7MvjhUIhSzlTO/RzEMGRjDfd3MFFJGUKfczzlXumH+fll192/Z52XL58GdPT0+q+SWzHHOOY17RUKlnGMm9729uQy+Vw9epVNbbJ5/PYsWMHACi3ZMAq2CsUCrhw4QLS6TRyuZxnMZFTH+Tz+equncS5UqmUEkmZc0Kv4qyl4nX/iUQC2WzWMi9ZS+X2dLw4SYngz0TiopFIpKOSiwkhhJC1zKpHi/TB6oEDBzy95HUV9lIGu+089rFjx9Qgzefz4cYbb1z2PsnaRspg0UmqsxCRiR6w0V1kpPRmOyYfZvafEAqFmg5EuS06VatVzxmNN9xwgyWDzYlkMomBgQGVuQNABfWWyqFDhwAsOkqZWTarjd/vV4K51UAET2YblFKK0l4XFhbQ1dWlRFL6hHrPnj0WoVcgEEA6nXZcBJYgotsisWwHLLZbyaA1naS6urrUwrp8RmzGTZGUoAeAQqEQZmdnUSwW65wJRDhkJ5Iyg94SiBCRVCgUUu4N0WhULfSYokMJiIsbkZzv9PQ0SqUSEomErajB5/MpJ6hSqYTu7m7XgJ6g3ze93F4wGLT0Deb3k0CK1yBRpVLB2NhYw+1kEV4PWs/OziqnpqmpKZUpWa1WMT8/72lxoFgs2pZa0JGMUf3aNiM2NpEM4KmpqVURPp4/f77OCcvsmwuFArq6upT48cSJE5a/6zbz5XLZImLTBXSNxL25XM5SArJarar22sgRxgzyyXHNBchGC3GN7qUEAGVbfWz97LPPIpvNIhQKqcVD/dl58sknXbOMV4KlvBOlxOdShSQvvPCC7dhiamoKmzZtUgtj0g/rQlu789UdK/VzaiSSmpubUwvfunDWFPXoCwGNnKTsxjGS0e92vTKZjHJjbFYk5bTfRx55RP1bFrCXgykOFkyRu4ik9GvW7IK3nUhK3vl210ecF/T3urzLzp49i/HxcU/iSqC+vAypL7cnC6udLpBxw2u5PSfEeVbcP5eLiIjtXDnI0hkbG0M6nV7VcxBHF7d7GQ6H6xZR7QTJ5pzHzUlK2nijRc77778fiUQCtVpNvWvshFXlchnz8/OIx+N1fenCwgKOHj2qxlU+n08tjg4MDDieo37+wWBQzWc6Kb7U7DN4ww03uP5d+ot4PF4357ITSeXzecd3aLFYxA9/+MM6IY/d2FWvChCJRJoeE0j5ORFBDw4OWhzFRCTlJsKWtpjP59V4yU4kpY+tdezK7Q0ODqpY0nIxy+2Z4wY74WGr4qFeRI0yHpVS0vF4HNlsFvF43OKaHolE0N/fj61bt6rP6k5SukgqFovh9ttvVw5TbnOjhYUFi7Oa07b5fF7Ff6Q967ECQVyg9e8vmM+dXZvWfydjzXw+rz4r52rnTBQOhzE3N+d5vCeJMI1iGbpztZv7rZ6opnPp0iU8//zzns5JmJmZUclfMt6XpFa3mG2xWMTOnTvVeYdCISVck4Qj/VnTx/v6WLlcLuOmm25CLBZDLpfzLCZyE0mZ161Wq2FwcNAikjLnhF7FWUtF5kGNkGuju62vpbmF/uzp7+jx8fG6e9bISUrGAXSSIoQQQlrDqs+S9fIPutOEG5s2bVL/luysTjm2vs/BwUGVZeF1n1NTU472qM1y5coVHDlypKn/xE2DtJZbbrmlqUk+RVLtp1arKatoYHGCJaW1dKLRaMtFUj6fzzEwKMINrzgtEPp8PsTjcc8CPRGtNGJgYAD79+9X+5TrtpwJWn9/P4BFRykvfeZKMjo6uqoiKT2DUb/Gerk94FpZOxFJ6RNt0+HlwIEDuOGGGxxFUBJodVsk1onH40rcpruG2PH0009jcnLSkllpd3zdSWpubk6VfTP3LT/L9k5BRQmMhsNhJa4Qenp6sHfvXiXC0q+J/rO+766uLkxPTyMcDqvrbiKL/sViEel02pNoQ79vegAoHo+7LiZIYFd3B3KjUqngjjvusP2buH7o56AvBM3Pz6t2l8vlcMcdd6igm1c79kwmgzNnzrhuo9vq6+dj4tSfih07cK1/c3KTaTelUkn9p2PnJNXd3Y2FhQX13OvtsVgsWsRBehaxtE9xGXMTT1y5cgUDAwPq50qloty2GpUPcAsKSyC50cKh7MsNKbUJXMsyBhbdK06dOqWuj16OUyiXy7hy5Yrr/tvNUoLJpkhKF7J5YWpqyrZ9l0oljI2NqWsizmGxWAyBQAD33Xdfw9JCejsUF0LAXiSl41RuD2hOJGXXXkKhkKP4SchkMlhYWKgr3Sm4iaTkHWXeS33xslwu112bZpEAv5tI6tKlS8jlckgmk5Z3UjPjU1mot/uM07Mvmfv6fZbFqWw2i7m5uYb9qnwHuuTW4/f7VYJCIBBALBZb1TFnKxARx3LnTma7WyryPuokBx3SGsyyVyaSqGY6itgJkpsRSQUCAfzwhz9s6PomQl5TJGU6cEpJ2XA4XNcPy/hMH9fJvGLDhg11z4iUUtbnEHKdvIzNOpne3l5P2yWTSZVQIGzbts0iEJbxo1M/ZVemUxJfTJGB3k50l3KvBINBzMzMIJFIoFwuY2BgwFISTd71jeYvPp8P4+PjmJiYUJ+T9qeX83Nz/9bnuvfee2/LHP30Z0Vca/TnzU7IFAqF6kQFOl6dO6V0cSN3uGq1ih/+8IfK4XFubk4J7nSRlM/ns+xH5voyxhFhuTz/sq3b82f2N25OUolEwtJ2BwYG6tqxmWgl4iM793C7WJAeT5Dxue7wKwLZaDSKXC5n6W+aFUnJPK6Rk5QeFxBBoF3bDAQCts92LpdTz4Yb+n3I5/N1yQoSq3R7zkulksXZS85pYWHBdr6jx+7kWZidncXMzAz27t2rxHqmK7W+9gQsOl+JK1UzzrabNm1CPB7H7OysJWlY8BrfWSrN7l9vb04VGjodvf1cvXp1SSKp0dHRZZUsJoQQQsg1Vn2WPDk5qf49NDTk6TPiWAGgrqb2ah97uft02u9S+J//839i//79Tf331re+tSXHJtfw+Xzo6upqKjjLhYT2I85RulOClNvTkUXEVuLz+Rz36VQGxQk3N6Curq6mXcwaIZndss9YLIZYLNaSAFqztvsrwcjIyKraGOvl9sxFSl0k1dvbqxaunaz+xQFGgo5OIigJZEoWpBf058hNMDc7O4vz588jHo87LlqZC/ALCwvKScrcXn6WZ8Aps08CanYlBmOxGEZGRrCwsFAnBrATSUk5zpmZGfh8Puzevdv2OkoQrFQqIZVKNRRJXb582bHcni5oscPNklsCaC+88IL6XaVScdzn3Nyc+rcEofTAZK1Ws5QE2Ldvn1rk95rhaJd5aqLb6uvnY27jFBg7deqU+i7hcFg9Q80KUVvBkSNHlNhPx7xfhUIByWQSxWIR8/Pz2LJli2VcKYtrkUgE2WzW0jdVKhUl6m1UhkvKNci1k/aji1YAqIxq/RhObhw+nw/PP/88CoUCZmdnPTlJmYtYOno2vl5ur6enB+fOnVP9ojhJ6X1eJBLxFAhvJ0sttxeNRtU9aNZdtlgs2h63VCqhv7/fkg2tO0nFYjFEo1HUajVcvnwZly5dUp+V59B0ktKdBHUKhUKd84Ke7a63S32c69RmRSxnN44Jh8OIRCK4fPmyYz+QzWbVIl+zIqlAIFDnSFGr1er6yOUG5+UaXrlyRQnjarWaRSR19OhRJY42hWVejy/vIhMZkzqNB6TvlIUIuf/ifmK3sK+ji6TW8gJ9OwgGg2rsK+3NjAusNZZbbk+IRqMtaS+yYE2R1PpDXFucKBaLSCaTtmNJU2Ar/ZpdmWmTQCCAyclJT6WFpW+Vd41e8kv6bnFLtOuHK5WKEg7IO7JYLKK7uxt79+6tG9NKwqO+iCzvMy/nuxYxHbqTyWTdu72np8cyPxTRh9NY+bbbbkM0Gq0rq9ZobCf9uBd0p69sNquS9RKJhGXMY1duz4lSqWRJHJJ9yv70f9uhC3kikYil/OBy0Pfr9/uRTqfrRFLSzuWa6+8Qcxx69epVnDx5EkBjsVRPT49KImhUQvPMmTN1Iql8Pm8RAJnopRsltiEiX0k6A6xCMcHp3J3GxMViUYmkZF9DQ0PYsGGDZTtdJCXfTcbC+lzPnOcJ4jybyWTUPdGdpG6++WYAsMRSRTwUDoct7bAR4hYsglA3Jynpy8PhsBIWmkhbMWPpuVzOk6u3fk90Zzafz4d8Pm+b0GnnzqWL/AKBAIrFopqrmsIeOyepyclJTExMqHjcwsJCndBOnL0BYGJiArOzs6ocnZNDsM/ns8QWgMX7KQ6JTuX22u0k1axIai2WmXN63ovFIqanp+tiPk7isWq1qubvrXD6I4QQQkgHiKT0muheF2P17exqqq/msZe7T6f9krVNKBRqaiDPhYT24/P5LOX2ZBHInFAmEomW29i6BXWbFUnZBVRlQp5Op9tiQSyZlMBi/xWPx1syQfMaVLyekMUdOycHWeAGFoO5EiS2c0QDFsUsejlDUxAk6E5SboISu2CfOF45WbuHQiGcOnUK3d3djiIp/bMSzBMnkUZOUhK8MoMQpn2/ie7YZSeSEnGVZGPrggPdDdKOUqmEdDrdsPzCyy+/jHw+r/arBzil/IwTsohi57YiWeWmaETuiXmtdOGOZLZKQLJcLiOZTNouLkmAy8uCfbVadRXIyDbmooD5/fRrZB5XhHXA4v2VPn41FqDL5TLy+Xzd8+bkjAUsujKNjIxYrpPP51PXXxyl5HtXKhUl6rULrr/00kuW89Ht9EXwYJakmZmZwauvvqp+thNJ6eX2FhYWMDU1hfPnzzdckC4Wi3juuecc20s4HMYXvvAFZasv5yWOg5IlbCeSauSI5YbXUgzVatV1vN7s8QuFQl0JoGaFVoVCwVEkJYsqwDWxnSxkANfmImfOnMG5c+cAXOv/mim3Z/Zz8XhcvdvtnDmlz3ATSdVqNcdye+FwWJUiskNETHaOU04Z9PLdg8FgXcliyZgXnM57cnLSUl7z4sWLju5m4og1NTWl+n/57nLsXC6HQqFgEdFVKpWGAiUds5yLIKXIZD+m+6S816XsrPTL8m5uxkmKcxsrIj4Dri2ud1rZ6WZpJD7wSrPzISdkkT8QCODixYst2SfpDAKBgGv55EKhgFQqpdx0BFOQrPPoo48CaOwk1Uh0oW+ri6Scyu2J6ME8JxkD6eOvQCCAe+65x3aclc1mkclkLHMmcUZczyIp/brF4/GG/Y8IApzGqtI+5HrJtfMyx2k2GSMYDCrHSxlTmK5Cdu9ZsyQvAOU6BlxzTNPdOEUkJWJ5E3NuH4/HWxIH08WBkUgEGzZsqHNys3OSEqRcmZDP51XZdn3fdnR1dWF2dtbi4mYiz0etVsPU1JQSSYk4Rc5FSknryHMrIilJRDPL4OnJVnLeTg7QpghekoIk6Ud3SgqFQnVuMn6/XyXDyFheRFJdXV1KXCNzd/O6ZLNZzMzM4LHHHrM4SQki8kkkEhgdHVXHk/NJJBJNxR/l3oszsh26SCoUCmF6etr2WXOKb9mJpM6fP9/wvKTd6eX29O9m1yeY90+cpKSdmvEmuZ76dywWi8r9Vfoesw/XkzZOnDihYg1OIik5H6dqLKZTvX4dlhpP1hNvnGi2nJ8ke7mVZ+xkzpw5Y2k3kmCmO0hLApudU5a8v9bj+5wQQghZLVb9raoPtr1mqeiL8V7K16zksZe7T6f9krWNCHK8IhNs0j5MJymnsnoHDx5seQk406Zb57bbbmtqX24L0du3b29qX17RF1aj0SgSiQQOHDjQlmMRqCxoNyepZDKpAnxO/Y0sigt2DhQSNBUxkNsilZ1t/IYNG9DX14dYLFYntgEW33ciTtSzK3X0RYJQKKQWOOwWowOBgEVUMDMzo0rXmOcKLD73dgE1KRlpJ5KS4JgEN/1+P7q6utS1dxI9yu9EJGW+2ycnJy0CmLm5OZTLZeX4ZOeK5fRekEUUMyCmL8zYZU+aAgAAtgEnCUiWy2Vs3boVo6OjlsVGvVyUHmSenZ11FOI1yuaUQKEeNLNzYpIxlBkkF/cZCeIGAgFs2bIFW7dudT1uOyiXy1hYWKg7f3NhR2d+fh7Dw8N1QpxUKoVIJIJcLodEIqHGnVL6VK6Z+W546aWX1LblctnibqZ/xrze+v1zc5ICrpUl0EsBOiH7dgpuRiIRRCIRFVzVRTm33HJLnZOUudhjPiteXZm8OlDNz88rlzY7sVSzAqcjR47g6aefxvDw8JJFUnZ9gOzH7DtFgCt9s904R28X+v10E0mZiy2Dg4OqpG4sFqs7jyeeeALnzp3DpUuXHEVSduUjL168qMRFuVzO9VqJmMhsayL4sUNEUuIGKLz66quW96vu1qGTzWYtiy/ZbNZRoCHfQ9oycC3bW+5PoVBQ7wR9AdRJFG1HLpdzFKPrz74+LtCdpPx+vxJaybV0Emrp82G9j2JA34r+/AwNDa2LshmhUMhSnmiptMr1UUrtBgIB5bJD1gd+v99WtCCISMrJScpu/CWLlG6CCt31plGfJu9Lu3J7gogeGjlJyXswkUg4ioByuRy+/e1vW9xo5R2+XkVSpsA/EAiocmBO+Hy+hiVrdcGQPl5oFKOzc2x0IxAI1ImkhEqlgpmZGVuRlF1ZQd3BR9ylxalMKBaLmJmZwSuvvKJ+pydc6OOtrq6ulrQZXSQdDoexZcsWWycpvY3q83k99iTfU0Tldu1aF7RJ+3Bz2ZVnr6enB5OTk0okJfNkufd2JR/19iBj6+7ubuXuJJ+1E9rpwngdEa/rjr8ipJZSkW7zrEAggFQqZelXRCS1detWlQzh5BCUyWTw8MMPY2JiQo3B7caasVgMN910EwKBgMVJKpFIWPY7MTGBmZkZWxGo3B+5Pk7zQl3wFY1GMTU15SiSsvtOCwsLdbGHI0eOWP5ufs6cA0i5Q1106FTGUG8X4iQl90yPN+n9jD6m1kVSsk/9WLozlZybJNwEAgHXsvZObnLhcNhRJNWskEkwSwI6OSM1Ejvp11TiP4cPH8Ytt9zS9DmtNuY1KRaLljl8JpNRz6bdM6GX+CSEEEJIa1j1WbIelPdaEkpfCGlGeLISx17uPp32uxTe//7348UXX2zqvy9+8YstOTappxmXnFAohH379rXxbIiIpPSsNr0sjNAOsZqbSKpZS3MJxtjRLjFAOBxW5yntej0GXTuFRCIBn8+HvXv3ArgWSJDsUEFfgPSSgW8Kr4DFxcxnn30Wfr8fw8PDGBkZcfy8nZOUPEd2ZVKkFNcdd9yhztducq8LR6Q8mpTCtHOuMkVSPT09tvsUEY1d8Foc0exEUvPz85bjS7akBOAlY9QkEomosjNm6QRgMWCo22rPzMyoTEPB7H+cMpjFot4MXhUKBfU7J5GUOQaxyz7UF8r37duH0dFRi0uKWW6vXC7j2LFjOHv2rK1jVKVSaZiNrWdT6uemn68uUJiZmbG0Od1J6uabb1b9+2oIkEUkpV/XkydPWtrbmTNnLJ8pFou2DmTbt29HOBxGNptFOp3GxMSECpRJaQy7hYBUKqUyh0ulkqUcidw/M7AsC3OC3TOoIwFaKV3phiz8OQk80uk03vjGN2J8fLxuAWz//v3I5XLKUcpuP2b70gUrL774ouN5NXI4E4rFIrLZLGq1mu3+mhU4lctlZLNZS9nfZoPRuluAjp0jhggH5B0gZWX0Y4qwwBwbuYmk3LBb2C2Xy5idncXk5KTlb3LOskBlzo1OnjyJeDyOnp6ehiIpcZwzg8xu5RrkO+vOmQDwne98xzKed1p0K5fLmJycVM9cuVx2LKcuZQN1kZSdw5+UxJTvIS4RzYiknATUcu+/973vWdqAuAjaOUkBi/3uwMCA6ve/8pWvAACefPJJtQ/93dRqZ9a1jv78tMqVdbXx+XyO4sFmaDZpxAm/36+cpMzSmWR9IyWMdUEwcE1garcoK84cbu40knBhJ+A1kb5Vd+7U9ytOh6VSqa4MFnBtfK8fy02Ek81mUa1WcebMmeuq3J55Lxu5/AJoeP/0vzfTp0kpMq+IEEPE0fqYYmFhAceOHbMVSUWjUeTzeYvwTl9or1QqSKfTquwwcM2RKZvN2o4xTeFfq+KRppOkKbqR50Q//v79+9XfdWdNwFpe2kkkZV4vSS6xQ7aXeyEiKTvhmhsSIwiHw+o5lXZjN4cy5+Z6P6V/B10kJbECt3Py+/3o7u5GLperc5KSOI3s17x24s47MzODixcvKjGhOY/Qy63rIqlgMIienh7L9X/22Wdx+vTpuu+rjz/tknV05P4Ui0VEo1HMzMzUxdfdxKZAfTK6Hoc5efIkzp8/j1qtVpf8Is+mtA1pe0eOHMHs7GzDflVEmfJ/vR3oIryZmRn09vaq5DddJCWJE3LdM5lMXXKYzBUalQa1c5EDoGJuduX2qtWqZWzvFXNe/fjjj9dt40WApScPinO8PA9rBbl3U1NTludJRFKVSgXZbBaPPfaYmleZTpjANdHdenyfE0IIIavFqr9VdfW/VwclfbvlZBm249jL3afTfpfC4OAg9u3b19R/O3bsaMmxST033nij5219Pl/L3YuIFb/fr8rRAVCijpVYoGh1Nr25SNnuwH84HFYLba0SdRJn5J3Q19cHYHGhOZvN1gkHdNGRF1GmCIx0RFgiwS6358Etg1oXIAKLfVo2m8XQ0JByOJPAmIn+vUKhEGKxGJLJpO3xTCcpp0Cm/M7JHSsWi2FgYKDOucjv92N+fl5lREo2djQatYixnERSwWAQuVzOVkhQKpVUEK5arapMYafAlRumYEEyI/VFdzuRlATYgWsiHbus0mq1ilQqhZ07dwKwZugCVpt4CexJNqOTk1SjoJZdub1KpWIpTaDf7yeffNLSPmRhSb7napZ6EnGXfi3Onz9vCWLaOVzYCbq2bt2qyu11dXXh5ZdfxtWrV5XwV4LD5nft7u62OCQkEgnL+FMEVqZIqpGTlLmQJ05Sja61ZMnqx3vmmWfUv6V8hF0WZTgcViKpfD6vsmbdrptekkBKdNjhdexeLBYxNzeHRx991FaYtJRs27e+9a2We2D37ExPT2N6etr2806Z3nZEIhGEQiE11hRXyFwup+6pCIVEUCVICU7Zj47+NxMRK+rcfvvtKJVKyGaz6m/VahXf//73lZC3WCzWvdOk5MXWrVsbiqTK5bKjSMrNSSoQCNSJpAYHB5FOp5UzmbkPuXYiaJLnWn62w+/3Ix6P25bk1L+DnVNgM05SCwsLDZ2kgsGgcj8AFu/FDTfcoMT9Znm9u+++W7mfHT9+HPF4HIVCwfK+kYUlwP5deT3TbGLEWkEWM5dDq97XTiIpsv6R98Rtt92mxrYiJpa5g77oXCqVVBtpVG6vu7sbxWKxofBeHD1kjKKLEmS+I26C+r6k7J9ebk+eKZkPmoirZl9fHy5dunTdiKSGhobqypR6Efc0cpLSx7y6kKERzSRGAlZXGRGm6+eQyWRsRVJSCi6fz6tj6qJkn8+H/v5+TE9Pq7Yu7/pMJmMZp0rbMxOghoaGmvouTphzMHO+rZfbs5sfmuX2RPADLDrFNhJJ1Wo1ZLNZR5GUPncSEc7s7KwSjDS693L9tm/fXpcoZpbb09Hn6XZxHd21U8aKXlxkJHYiro7iJmaO2e36BBGj9Pb2qtLsEtPQMd26ZN8+nw+33Xab5f7OzMxYhG2CtHcvTlKmiC2TydRdg0ceeaSubQHWsbq+/0wmY3FnDYfDmJubszj96M9+rVazzAuKxSJyuZwnoU65XMadd96JW2+9FcFgUDmlSSIHsFiabmRkRL2rdJGUSTabVa5P586ds4ikzLmLIO3UKZm/u7tbOYfriIjJqwmATi6Xs1xzu3m2Fycp3T1c//daxIxDiEhqfn4eX/ziF1EoFJRIyq5cPEVShBBCSOtZ9beqPsm/fPmyp8/odY3tLG9X89jL3afTfsnap9mACWkvgUAAhw4dUhNPyVheCdGPkzhkqax0Zn4oFFLtWdyNSPsQYYqwefNm5U6ho4ukvDpJuYmkGiHBVjtMkZRYpO/atUv9zufzYWxsrO6zesaU3+/H2NiYygg2FyNkEb2RIEGec9mf3d/37NlTJzLw+Xwq81SCm4lEAolEwrKQbPcMigjByVVHnGPk3/l8vi4I7BWxZ5f7efXqVQCLQSS5lnbBSd1J6uTJk2pfdiKpLVu2YGBgwPb4erm9Wq2mREFOIimnILi5jRnorFarlmCbBD2lvJ/e5sxraZYMWyovvfRS05+xEzgsLCyoQGS1WrVkrZoZ0yZSYqyrqwvj4+OqvF1XV5fK9rXL+NWFbfq9FycDu3J7Xp2k5F6L8CkQCOCpp56q206yUEVwoe9fRFwmZtBcHG30LHq3MoDVatVS0sLp2uolcRoh5UpM8ZvQrJMUAIvIDagXWr366qt48sknHUVSjTKHdSTTXURSo6OjSCQSlr4sFAopByFdzKEvjNx6663q97LY69Qf2y0mj46OKlcD3bnp7NmzyrVSd5KSEiEi7gwEAhZxUa1Wq7uHTkFmWZjQn4tnn31WfceRkRF1PrVaDblcDjt37rSUgXRzkgqFQpifn0etVkOlUnEdqyWTyTrRoI7dvZVnwKvwY2FhoS4BQ9qbLpLauHGj+nu1WlWLpHYiqeHhYfV85nI5HD58GMeOHVMuawAsizV0krKyXkVSsVisY+61OOLpIikvZdLI2uYHP/gBrl69qlxdgcWx8cmTJ5VIqlqtWsQWc3Nz6l3jJihKJpPYtm2bcv9xQ95R+gK9fEZ/35vuUFeuXAEAJRzRRVtO5YVkMV/GiHLMvr4+bN26tWXj4NUkHo/XOZMMDg4uKcnU7p2oI2PL6elpPPPMMy3v03RBurzfpbStfg7ZbNbRSUovxStjDWlTwWBQOUmZ42g3J6l2tBEzQdAc09iV29Mx50W66OX8+fO2Iin92UwmkyoZyen85H6L+OCBBx5wLGFuIvvt7u5WyQXm33QRkIwbdddjMwZhiqQCgQD6+vrUdm59j7jsyLhcRFLmmMPuXSgClN7eXtx0002qvzSvnX5++/fvt8S6TcHX/Py8bSKA3++vE8i5OUmJ6HRkZMTWOVzKvpsJo/LdTfGQiK2AxTb14IMPYn5+3pKwJtdDH9NKe5CkAC/jCZkXSAKKLpIKhULw+/24cOECUqmUaiv5fN5VJCUJT9/97ndRKBRUrEcvE6jPf/WYkB133nlnXbxAPifvy2YxXcCdRFKN3qWFQkH113YC1yeeeKLpc1tpdFGh6RxfKpWQz+dx4cIFdHV1oVarWcYqOiy3RwghhLSeVY8O7d69W/3bLDXihL44fMMNN3TUsfV9Xrlypa5MSqN99vb2Oi5CEkJahyz8CTK5XSmRVCtLPjUK2rllwy71eJKhSVFn+9HFOMBiIF3eLfq91UVSukW9E3rWnyABFi/BHreykeLco2PncLZly5a635mB1D179mDnzp22QSJxddKzZu0Q4VUgEMCePXscv5PdQvTMzAy6urpUgHLLli1IJpM4ePCg2sZJJCX7089LhCASDJZ/iyBhKU5SlUoFkUhEBY+kfeTzeXWPJaCioztJSZBQLwui798tEGNXbq8VTlJmuT2fz2cpISiBRcnk1J8FyQbWF6OWsig6MzNjGctduHCh6X2IE4COBD7FfUm/N/F4XC3m5vN5iwsSAOUklU6nMTU1hXw+j3A4jMOHD9eVYJ2YmLAdi0oZM8Gu3JqTk1Q4HK4LQpfLZRVEFRGTXuJOEAGfBLr1/S8sLNj2E3aZxdLm5Xlx62+q1WpdmUY73EQqdtsWi0XV3k2WIpICrIumdsK6I0eOOAapm3WSCofDqg/euXOnEoAKepk9/V2hu0XJ8yWLc7qznxdkQUrcx6RdbtiwAUNDQ3WlfWW+ls/nleA8Eokgk8kohxDdkUzOz8lJSn9/lMtly3xw+/btakGlUCjg6NGj6m/yfJol++R4skiRz+cxOTnZMJh922232ZZMFfQFD6FcLmPHjh1K4Prqq6867h+wLx8lz7LTwpQ+xtDLqOnXUi+VIuUPRbwILL4fX3nlFfVvco21nAnvRjqdXpXStnaYIqlarWZZbCPrk7m5OVy8eNHyjJVKJczNzVn6/gsXLmBwcBDAYrsVsY3b3DkSiWBwcNDT+1YWukXQr/fD+thGF/lUq1VVBspOxOB0XuKaJt9V+luZr8lC/Fpmz549LXM3KpVKrnEM6Temp6cxPz/ftveXPn833wlSfkneuzLOBq65oOviFxkHSnKS7NccRzuNNdolIDUFeuZ4VRfKeBFJiUhCRGR2z4h+LQcHB5Xw0On8ZJ8yXpMkNTNmaId+LHO+KeNsmUOJm70gyVRmYpDP51NupPLZw4cPuwqJhG3btinXKX0ca4qk5HrrcybdpUeuhyQtODldmeX47OZtUnZeP5Y4tkpMxBRXCXNzc5Zye8FgEK9//evrtpM5qP6szs/Pq/7QjPOkUik1x65Wq4jH4yrZS5iamrL0E8FgUM2VisUiFhYWPD0zurBn48aNKr4n53bTTTfhrrvuqpsHOiUBLSwsIBaLqRhSrVZTIindDeq73/1u3bk4zSOdhPtyTk6fe/HFFx3/Ziav2MUkvMSFGrlH6aUTO52uri5LYpj04wsLC/jRH/1R1X7F1c5JJLXW3+eEEEJIJ7Hqb1V9sfKFF17wFGx4+umnbT/fCcfevXu3GqzUajWVkbycfRJCWo/TJHC9OACUSfcAAIDNSURBVEmZLhqtPJ7P51PZT2Tl8fl8GBkZUT9LsElvV3bZdSapVKpOgNWMk5Qe1DWJRCLYunWrZdtmykA6iY5MzHJ7TseQQHGjYIKdSEpcdtwCOE7l9uzszl944QW1X73ERzKZXLKTlN/vRyKRUN9PAlD6QqCdO5GdSMostyeL827XTneSEtGICBacRFJujjNyHqZISjLv5JqKEEHal5xjKpWqs3c3M3u9cvnyZYstuilYcuPEiRMAUGddL4FGaW9mdm08HlcBxdtuuw2nTp2y7FdESOFwGH19fUokJejPz6lTp/D888/XnZvZHnRRn1Aul22dpIaGhnDlyhUViAWgvg8AtRhtCv6OHTumrqWdk5SIjkz8fn9dW5F7r5epcHr+zWdX2o/pyGS3gOBEoVBQpSjsRFetEEnZfec777zTsY9o1klK3JKE7u5uSwKILCgAsAgKzMUiad9S/q2ZhUQRSUlbEeFbPB5Hf3+/apdyniLOk0Uxcfc7fvw4Hn/8cbUIbl4XJ5GULDAAsCygyXeUPlzaqvxeRFLSDs22J78vFAo4cuRIw0UUcT0w758cz8lJKhQKqTY7Pj7edJlHEaU5leYwz9FOJGWWWPT7/RYxazgcVmUpKZKy4qUk1FrEyxh0pdBFUnq2/noVqJFFEokEZmdnLe/+crmMubk55S54/vx5XLx4Ub1fbrzxRiWYapRgZCdctUPGrdFoFOPj43Xl9qSf3LZtm/qMPhZqxtlHROyAfTnZ9SCSCgQCLXOxPnjwoOs9lus1PT2NQqHQ8veXLggRIbidSEq2rdVqmJmZUcIZKb8mbiMSB9CdpJxEUia1Wg0nT55secxIcCu3p5cBdBJppVIpiyOOfM4puUsXDAKLbmpuSUj6+MYs4e0lNmi6rertanR0FMA1QVIgEFDOceFwGPPz88rN13SSkmRqvR/wMtbfsGGDcn6X7XUxnYzb5Jz089XFKHJOwWDQklQg5+c05tT/JiXqFhYWcPr0aYyPj6vtJI4j19zcZz6fRyaTwVe/+lUl/DPvj47EUmTOsrCwgJdeegmlUgnxeBzRaFT12zMzMxYnKUH/vFyP/v5+y7xARFJ+v9+13J4eZ9Hvoe5GJf22iOd0Jye795D8TdpruVxGV1eXSk4wnaSmpqbqvmOzsSbpq5zeefl83nGf+jUAnJ2kAoEAXnnlFUd33EYiqZmZmY4R5zsh55dOpy1zVel/8vm8RUBZKBQQi8VYbo8QQghZAVb9rXrXXXepwU42m1VlOJwoFAp49NFH1c8PPPBARx07Go3ijjvuUD8/9NBDDc9DV/cv5/sQQrzjJEh0srBvJe0WSUk2mtAu63Syetx00011v3MTLdkRDofrxG7FYrGhIEY/ntN2Pp9PLTTItssVSdmJFyKRCPr7+xsuDEugu9H1sQv49ff3q38vRSRlBjLNMhHA4sJNMplUi+pebMfN44+MjKhrbOckZSeS0p14JICmB2klIGkXiNH7FdNJSoR2Ts4olUoFqVTK9loIUiLgsccesywS6OXNJEAYCAQsJR5TqVRdQLCZMiNyHc+fP28phQA4l4Sz4+LFiwDqF9NkAUwC16Y4R0okANZ7pCNB0LGxMSUCEfR/68+d3EtzIUUyrs3AuxkMlXs+MDCAK1euWEqVyP0CrmW366UXqtUqzp8/r4KCkjVpirLsAv92izuSXSvfIRKJOC4amKI8Ee89/vjjlu0mJiY8i6SKxSLuuusuFdi0O+ZScHOSqlQquPnmmx2D1M2IpOxcVERsKcRiMbWQ4xaYjkajWFhYUE5STqUh7JDrJ9fdbO+ygCJOvaVSSZV2k2c6kUgoUaSdSEqERBcuXLD8zRRJXb582VI2Hbh2TeW4ggTx5+fnbbN8RTBWqVSUy1UjYrGYo5uT/i7R3w3y7/PnzzuKUt0cpiKRiHI5aXSOIuKyE0mZDgJmyR/JcqdIyoq+GLKeuPPOO1f7FBShUAh79uyB3+9Xi3V0klqfyOJ7rVZDLBZTjoOCjDFEZJ7JZCyCGyl5C7iX2wPqxe9OBAKL5fai0Siee+45x3J7emJJsVhU5Z2aEa3oIim7Eq/rQSTVSg4fPuz6d5lfyPus1e8vfczmJpJKpVJKpGCOm+PxuGUOoTs/6m6gelsTRzNgMXlBOHPmTNtiRnYiKREtynjOrb3r55/JZNQ1kHKD5mdMkZTf78f27dsdz0/GoiLY0c9Vn8s4oR/LKSlL4ibd3d3o6upSn8tkMmrsbIqQZJ6s3xcvTlLCxo0bVZvQ9xEOh9W41q7cXjQatYjXTOduOT83B28ZJ2YyGXR3d2NhYQG5XM4y1pQ+S6656ST18ssv48tf/jI2btxY5yRlRywWw549e9RzJAk7IpISUWGtVsO3v/1tdHV11Yl25N4Io6OjlkScdDqN4eFhAFClTeUaHjt2zHKN9u/fr/p2p/LcMka2w2sZv97eXosbsv5+6uvrUy7Ocr8krvH88897mp/IPNxJCOXmMhWLxTw5Sfn9fiwsLNQ5P+uxLbe5aCaTWTPvt66uLosYTGJvemleYPE724mkGokFCSGEENI8qz6KSCaTeO1rX6t+/sxnPuO6/T/+4z+qLJLe3l78u3/37zru2G9961s97/PcuXP41re+ZftZQkj7cMpy9rpAulyaWURshHnOdiKptTJpJN4YGxur+12zIim7z+fzec9iEjeRlInpNNEIr05S4XAY27dvr1uoMEUVkqHX6Hztgn2SAep2XeR89eP29vbaZppLUMQsVZZIJFS5vbm5ubrFU7egaCgUsiz05PN51Go1jI+Pq/7BTiSln6/8zTyOk0hKz1LXRVITExM4evSocm0Qa3096FWtVpFOpx2zBWWbYDCIK1euqPMRhxK53xJwDAQCiMfj6hzT6XSdKG90dNRT/65fk6NHjyKbzVqum10GpBMSCDQX0ySQKe3DDPzFYjG1gOsUgJbFj7vvvhuJRMJRJKWzefNmnDlzxlawGI1GLdmrQH1AV94lEsiX4B1wrWSCnL9kSosQqVQqYWFhQV1bfeFJP55XkZTcd3H3iUajls/q36VSqSAej6v7WCqVcPnyZZRKJczPz6tzeOihhzy7i1SrVSUENc/5mWeeaaq/03FzkhLRYqVSsbibCc06SblRq9WQSqWwceNGAPUCcv3cZDFa3DmW4iQl/Z0pkvL5fJYFKmkzsqgmwq5cLodwOFxXykOcAEOhUF3pzHw+j3g8rq6ZnmWvH79WqykBkrxHstksKpUKfvCDH1janp79LaInryKpRCJR126kTEUymXS9tydPnlRiLhMRa9oRiURUXyvvf/O7C05OUiaxWMzST4dCIezYsQP9/f0d5TBE2kcnzTlCoZByZ5D+hU5S6xMpPSr9lOkAo7tf6mXw7PDiJNVMub1YLIbJycm6cnt24/pCoaAW75sRreiCeV3wJVAk1Ry620s7nBD1NiRt1RRvynxJxsHynpe2mUgkUKvV1DzXdNB1cpKS97uUEPf5fMhkMm0tt6c/TzLWvXz5MqamptQxG4kTgUVR+KVLl9SzZXfOpkgKAO6++27X/eoiKf3Z8SKoNQVZdt9ByvZt375d7TMUCrk6SUnCj+kk5fUeiTusLoyT4zqJpBYWFlSbaySScuqb9L7typUrGB0dRblcRi6Xq/uOIpKSMb3eTmu1Gn70R39UOUvLNXI6bq1WQ19fn3q/i+imWCxaRFKzs7OYnJy0TU648cYbLT/fe++9lp8TiYRKoJM5jIi9Ll68WHeNZB7lJAC0E0nJs+LFxUzKhurfRY8/ybhHj2XIPchkMrbzSbdj2VGpVBz/Jok0gl3il15qURdAPv/88+qzjZyklhsHXQlECBoKhZBKpRAKhZTITi+VKIizshm3kUREvs8JIYSQ1tERb9X3v//96t+f+cxncOTIEdvtcrkcfvu3f1v9/L73vW/ZQoN2HPvd7363ysQ+duwY/vIv/9Lx+L/xG7+hBrN33nmnrTsIIWT90U4nKVnEFtplnU46i+UGBySb0WvwrZnjNbL5N7F7vzoJP8zMSwB1gUYJHi/l+og7pJtISs5XFoeBxexBCYjq6EIRoVwuY+vWrWrsMDk5id7eXss2IgRwO76Qz+cxMzNjcUWxE0mZ+5DAowThpdxWoVCwFUnpmcsS+CmVSshkMuqzEhQ9evSo+qxXJyn5vNxLCQqZTlI7d+5U7kVyrczA4vDwsKf7ry9aTE9PI5vNqsCfLJrpwaqpqSnb/Zw/f161BbPtSRasBJ/l+sr1jEajDTOXRRQWjUYRi8UsGfFOCzm9vb11Jebkew0NDdX93i54rmep6wvNesZ6NBrFyMgIIpEIjhw5gnw+j6NHj6psab28g1N5P9OZxnxmNm3aZHn2ZWFDMMVGUlYMWLz+ly9fRm9vL5577jkl5NJFhc1gLpTOz88v2fLfzUlK57nnnrP8XKlUlEjICb3tDgwMOG6XTCZty0/oPPLII2ob00mqWZFUqVRyFEnJ+QCL7UD6A1lo9vv9SCaTatHQbiFTXObEpU+Yn59Hd3e3bYlVHdmviKT0fu1Hf/RH6wR60l6j0Sii0ahnkZTTQtzMzAwGBgZUuxAnLZ2FhQVVFtDELmtbkLKLslCn95t2i6p2TlKA9ZpJuRM532g0iqGhIdxwww0tK5NEiFc2bdqk/i3OaXSSWp/IO17urzmOLpVKapzi8/lshbHAYn967ty5hqXYvLi5iJOUiKTMcnt2zrFSzlfEuM04SclYOJVK1e03HA53fDmiTkIXSbXLSUr2L2N+8x1ZqVSUyFMEBPl8XrXjLVu2qPmDKbqT/YsjkLy3t2zZgs2bNysnW2DxfS9JA+2IGZnzYX1+pztBuYm09BL1MzMzqlSdXdzCTiTVCL2Mt76/ZsvtOTlJOblki0hKromMrX0+nxrr6eck7snNoo/TJCYg/ZH+t0KhoJJvZE4yODiI/v5+y3Zuzvh6e5uamsLQ0JAS/evjZdNJyqRarSpHWzlXpzaqfw95v8vzMDU1ZRFJiXOsft/0UmhyvfTv6NR3yr0Jh8OqnKsddjEhwCpuNfFyn6XcXiqVQrlcRrVaVe7KkigyNTWFF1980ZLIIZ/1Mj+Rz7g5SckcxJw/6vM6J1d5uYa62Orhhx+2PA+SXOaEnizXqYjzWCAQQE9PD/bt24dnnnkGGzZsUKLFYDCo2olZbu/RRx9VwlYmQRNCCCGtpSPeqm9605vwmte8BsDiQODNb34znn/+ecs2k5OTeOtb36pqsPf29uI3fuM3bPd3+vRpZf3v8/lc3ZxafWwAGBwcxK/92q+pnz/wgQ/gH/7hHyzblEolfOhDH8LnPvc59buPfexjjvskhKwvVtpJiiKp9Y9Y6y+VcDiMQqGggqmNaMZJyqtIKh6PI5fLeS63J/uuVCqWrG9TOCWL5F6fAztxiFNwS/4m528Ggc0Al1kqAVgcEwwNDamA/MTERF0pxGZEUsBi6agdO3aonxuJpKQMjThHzczMoKenx9FJyszIl2tWLpeRzWaVaEYCcPr9EJFUIyepQCCAdDptKbcnggXZTyAQQFdXlyVI7vP5LN+9GYLBoCpPJY41ct0qlQqSyaQlI/Lll1+23c+ZM2cs11tvB7oATRyZRPAk59+oXJEsmgCL7U7fv9wXEa4JbotjUs7MxO0zugBXd5KKRqPYtWuXcvgqFAq4ePEistmsckcQkVSlUlECOmk/+qKhuBPpi5vAYnb06OioxUlKD/TqQdlKpYJYLGZpN7I/Kf8gbXIp7iLm8yz96FKwE0lVq1WcOHHCci/m5+ct97ZcLltKx9mhCwAlu9yOXbt2Nezb3/CGNyh3XXGSWqpIqlgsWsr6mSKp22+/3bKt9D3S9m677TaLu5yUdgOuOVH5fL46kZS8MxcWFnDx4kV1fe36f10kFQqFEIlEkMlkkEgk6kS5cg9jsRiSySTy+bxFaOmEU9ubnp7GwMCAav/T09P4zne+Y9lGnLzsFjvc3O/EvSAYDCKbzVrOwXxve3WSSiQSiMfjqh0nk0ns27fPcXtC2smGDRvUv3t7e3H16lVV/oysL2TMJfdXL5cN1LtjFotF2/fVCy+8gIsXL7q+B90WtnV0kZSUhbUrt6czOTmpylN5cdYRtm7diq6uLuVSYUL3tObQnbfC4bB697VKaKaPY7Zt2wYAdXO/SqWC/fv3K5G7KZLavHmzGn+bji2bN29W73Fd1Dc0NIShoSGUSiU13goEAmq+046Fd7Pt6Qk5MgcCFse2dm1XWFhYQLFYRDQadRVJJRIJJbD3ivQPZnKhW1KBYI6dvIqkQqGQSiAJBAI4e/asmlfqYzBzvuWlBKCOXDNBF0nZxUakTLX0UalUCvF43NJ/enWSEqcz4Jqzk3xu69atGBoaUm5MJnpsRxdJ2cU9dNdyuR9yrWZnZ9HT06NEUnNzcxgdHVXb6QIiwYyfOo3f5bykPTqJZ92S/cy2YYq9TEzX53A4jNe85jWoVCpq3lwul/Hoo48iHA5jdna2bh4iAqpmxISNRFLj4+M4d+6c5W/mvNbu3kk71EVSExMTyo3XC/F4vOPj3el0GtPT0wgEAti3bx/C4TDuvvtubN68WYmk5NkrFAoIBoMquUwQd2AmQRNCCCGtpSNEUgDwd3/3dxgZGQGwKHI6fPgw7r//frz3ve/Fj//4j2PTpk34xje+AWBxIPkP//APdZPITjr2Rz7yETzwwAMAFicDP/3TP42DBw/iPe95D975zndi8+bN+P3f/321/e/8zu/UWbkSQtYvrZzU3HrrrXX71ifbFEmtX8zg+XJFUnpWYSPa4SQ1PDzsuGjhFNyX4FmxWLQExfRF65tvvrkpUZfdObgFkeRvpkgqFArVBTIlyK1vJ0Ejn8+nHE/M40tJBR3Zh7ltKBTClStX0N3drQLryWQSc3NzmJmZsQ0EigtWIBDAU089hYsXLyKdTiuRlF3ZDlMkJU4j2WzW4iRlllGrVqtIJBI4ceJEw6DjDTfcYHGSEiGN3TXQ7+/OnTuXtJgRDAZVgDocDqNarVpEUrFYTP3sllVZLBZV2UMR8eh/k35a9p9IJOoC2Ob10L+LPg4125h8ds+ePdi1a5flb8tZ3DE/q2cx6kFe+R6jo6PYunUr5ubmMDc3h1qthq6uLmUtL+1FAn7SXvQ+SMpfmG1QEiGq1SrC4bAKCAt6UFZcfXSRlPxNRFKlUgm33HJL0wsP1Wq1LiBuV0qg0T70DHGz3J5kPZvH0I8jQXK750l/RrxkDAeDQdx3332u24yNjanjx2Ix5STV19dXtzDthjhJiZNZKBTCwsJC3UKM/L9YLKo2Ie0hnU5b3OXMUp633Xabcg2R95A8l8FgEBMTEzh//rxjuRcptyeZ7hK0zmazSCaTdWWX5B5Go1G12CfvFDf3vFgsZnv/RFwo12R+fl69R4R8Pq+c/EzcnKRkEUwWSM2SMXYiKekXTeTcU6kUBgcHPbmsELKSRKNRFItFx3EmWdvoTlKRSAR33XWX5e/mAq1e+s6k0fhRxLKNkDF9PB5HOp1GsVisE0np/X6pVML3v/999PT0KAG317lWV1eXEirbCaH37NnjaT9kkZ6eHkQiEdRqNbUA38qYiu4kJSW5TCqVihofSZLIwsKCpf+KRCLw+XzYuHGjcout1WoYHR2Fz+dTi+52Lsa6SEpEU+1wGzNjVTK+kGPKdXB7JsPhMB599FEUi0UlcJmfn7ctIzk6Ooqurq6mzlF3ytT3t3///oafNZ2k7K6h+c6RuYmIpILBIE6cOKHukx63MMvtNTtXyWQyFvGZW7k9+bsukpLjehVJ6U5S0gbFSUrEH7KdlIazOw99rC6OsU7l9vQx686dOwFcc8/r7e3F2NiYEqPUajV0d3er+3bx4sW6sbLpNGiOz0WwpYtZ5ubmHMe+Tu+LvXv3Ol5HJyepRx55xJIcInNwEUkFg0HUajXMzMwo52f93SOuWz6fry5O4IZbub1isYirV6+6Jus4lS3VBXDyeXFedJs36aTTaVeBZSeQSqWUSGp0dFT9Xp4z/V6Wy2UkEglLu9b/TScpQgghpLV0zFt1w4YN+Pa3v63KhdRqNTz00EP49Kc/jS996Usq2D0wMIAvfvGLeO1rX9vRxw6FQvjHf/xHvOMd71C/e+GFF/DZz34Wn//85zE+Pq62+73f+z1LKT9CyPpHhJmtwJwgmU5SbmXCyNqmVCpZMiWXIx4OhUIoFoueA8DtcJLq7e2ty1QUGi1GTE1NqWCW6SQlggqvz4FdKRa3BbVbbrkFQL3VdygUUiX0gMXxhbmgDlwLcOnlBkwkUGKHXj4EuOYKJkEwEVBUq1W89NJLmJycrDu+OCQFg0FkMhlcvnxZCQDsMoslqxqwOkmVSiVks1l1LyQr0PxOPp9PlXuwQ/a3e/dui5OULpLSA5Z2mcRLWcwIBAJKSCZBKjmOOOXI8fVgnok4z0i7dxJJyQJZJBJxzBjt7u7G+Pi4JVgq7jpAfXkOuS/pdLqu3MxSmZiYqBP/6FmMukhKFnTGxsYwMjKCq1evYnZ2VpWAkXYmTlKSJWonkpLFbKfMYbmOkUjE0sbMQKIsjgNWh62FhQVVqqy3t9cizvJCtVq19G2y6NPMIpMeNNZL4unCH/18ZKFMD+g7ZecC154TWWRoBdI3AIvtrVAooFwuI5VKoaenx/N+JDB88OBBANdKINn1tyJ+lf5Zz6rXBWXd3d2WoLpsJwsjwKLQSALqFy9eRCaTsfRZZr+hLybJYog4SUWjUfVsyHtGMu/37dunBHrBYBD/+q//6vgudHO20UWphUIBBw4csDhGiPBWL00huDlJiRuKtCk3kZRezrBUKjn2rZFIBDfccANFUqTj0BfgWXZs/SHvN3GSsrvH+u+c/l6r1VzFGgCUc08jdCep7u5uy/jAbm5UKBQwNTWF7u5uJZJqZiFUxmJ2cYZWjQevF7Zs2aLEyzLXblTyqRn0eZ8TpluIjIH0c5B2mEwmsXnz5rp9iHDOfCebJarFrbMdmM+a7harl3R3c9uMRqOYnJxEoVDAa17zGlXeTMoGLxe93F6zc0eJAwDO8RGz3ZRKJcTjcczNzSEcDmNgYABvfvObLf2DXjZOH/PKmNkr2WzWEo+QxDhx4zWJxWIWYaActxknKT0pQfolmbuY+xGRlFM7iUQiyoVYL/VuHlPaj8xDk8mk+u7BYBCJREKN13fs2IHBwUF1fUx3a1MkVS6XLX3o2NgYZmdn8RM/8RMYGRlZspOUW+zOqQT2/Pw8pqamAFjdqaVsfTAYVM5wPp9PzXOBa/dDztPOeVt35fKCLrJ0m2c6lbg1y+1Vq1XlQOY2h9GJx+OOYtNOQXeS0pF7K2Vd5V5KXPHYsWN1faNd3IsQQgghS6ej3qo33HADHnvsMXz2s5/FG97wBmzcuBHhcBiDg4O444478PGPfxwvvfQS3vSmN62JY3d1deHzn/88vvGNb+Dnf/7nsX37dsTjcXR1dWH//v349V//dTz33HP4zd/8zZZ/H0JIZ7N169a27VsW8QTdzp2sLyKRiCVryku2oxMSPPMqqmtGdORVJOX3+3H33XfbLpCLkNmJr371qxYnKTNI1Yyoa2FhoS57z81JSvYbi8UsAb5wOIybb74ZwDXhloiOdHSRlCnw0veln4Pp4iNIUEkPUslxJRCpi13EuWXDhg04e/YsAoEAMpkMpqenEQ6HHUVSkmUq31/PAsxms+jv78fs7KwSadmJidycbWR/+r30+/2OJcXsMombKVMiiHinWq1aXKOAepGUCHrsnFok+CzCDN0lplgsqoxc+W6RSMRRCDg8PIyTJ09aMof1dtbX12fZ3k3Q5+Y05MTDDz+MkydPYnZ21vJ7vQ2OjIyo4+oOBtFoFNlsFvPz80gkEkin08ppTERSImgREYwpkgqHw44iIGmHso0gbfLSpUtKJCVtTS8DkcvlkMvlLPuXZAm7a3X8+HFLwNYUSUlb99LuMpmMygY2v1utVrMIf/R2KAI+vd2Z5QjtENFfK5BSmMC19rNUUaLdwp1dfysLKCKS0h2mZCGpXC6ju7tbCYVMhw65V9PT0+jp6UEymcTFixdRKBTUMZ3K7ck7JBQKKfescDhcV+JGysb6/X50d3cjmUwqh4JcLmcpdaGf3/bt2x2fRZ/Pp/qHaDSKTZs2WRbJRGxZKpXw2GOPWT7r5iQFQC0S6W6MgNUJALi2kCXBe/1emyVy5Fn2mgFOCCHLRca2TovoJnYiJ93dyW1s5NXNJRAIqHdWV1eX5V0uC8v6+6ZQKGB4eBjxeFwteDfzXtXH5mT5yFhSRBetLHFkOvPYYd5/SdywE0kBi86ZJlKazpyH6wJ9mYO2SyTlRLlctrhYuj1zsVgMExMTKtEkHA4jl8tZxoPLQcY3S3Fo0e/H6OiobbKAOTeT+c373/9+lQSkj6v1cZ/eDnw+X9OlBBcWFmxFUk7teXh4GCMjI8sSSelje+mX/H6/GjsL0g/WajUEAgHbuZcuklpYWLDte+2EPbt27UI+n1fXS+Ij4k6lzyP0cXw4HFZxEP08h4eH1c9DQ0MYGxtTzmGm85ZJM/2y3G/d/U+PmeiJKnoMyefzIZvNIhaLIZvNqushwjS5tmZikYmIy0z0RB7zu0nyhNt+pc2b+5B5V7VaRblcxvz8PHp6elpyLTuJcDhcJxIErj0v0iYlqUkSJK9cuaLuvXx2+/btLRPsEkIIIQTouLdqOBzGu971LrzrXe9a8j62bNnimoXSzmPb8eCDD+LBBx9s6T4JIcSJDRs2WIIWXjIVydqkq6urZaVne3t78eM//uP4h3/4B8/l9lrtJAVcs2U3cbIcF6QEE1Bfbk/OwetzYAYTAW8BmWAwiEOHDll+p2dBSvbvY489hlgshmQyiYmJCRw5cgS7d++G3+9HOBy2DQr5fD4MDAyon2+77TaLi49+jHA4rK6Xbk0fjUaRz+dVEBZYtP6emppCJBJBPp9XweFsNquCiI2cpCRoJi5P4XAYfX19OHr0KADYOkkB3kRSuvOWfAf5jFnasBVOUqFQCD09PSrD104kJceXBaynnnoKd999t2U/cs3k3HVXAwnES1kHANi2bZvjglsqlcLly5dV+YBGeBVLyvm4jZlrtRpOnTpl+/zpwfXNmzfXlYQDoEqMSVBfvosEk3XnGz0LVr9vbiIpyZAX8Zp8F+lzTpw4gY0bN1rajS7+WFhYUIuYIiiuVCqYnZ3F7OxsXf8qgirBzMIul8tq0bPRIuvZs2exsLDgKJLS24vugiTf2yy3J+UshGq1ipdfftkipmyVkxRQX7rHqQSGG3bvBjcnKXGa0p2kgGslJ8VJ6uzZs3Wf1wVt09PT2LNnj+rjgGsLWGb7E/GRvPNGR0dx9epVLCwsqFKaettPp9OYn59X+0wmk8jn86pv2bJlC86dO4dLly5Z+peRkRGcO3fO8VrJMyhlVPX3gXwHKXehf+dG7Nu3DwAsQjGgfpFL3iUirDXvtZ5hL++Np556quG7m5CVwmmBj6wPpD91EtoCUOJswF0k1ajcnt/vryshZoeMc/r6+rBjxw4cP37c8jd5N+jf4XWve51y7gMWF6zlndIIcX8hrUHGKCJKbqU7t5ckNl2wI2MREcoLGzZscN1HNBq1zDcEfewZCAQQi8VaOkb0QjAYVO7DMu9yQpIu5DmXcbDuArsc0um0uk7LucdOYx6zT5qamsJNN93k2M84OUktBVPUKWL+6elpJciyQ58vNSOSMsvtiSBQXMv19isC/Gq1auu2DUDFKPx+P7q6umzPV3eSEkZHR/H888/XxXT07eQ51Nv+/v378c///M+444471O9uuummujHygQMHLOcYj8ebLrdnRy6XqytfLjETmffeeuutqjyjfHdxkBobG8Ozzz6r2k+1WrXEyJxiTUIqlapLfgCuCdHM+y73rdEYq1QqIRqN2jry6WUVp6en0d/fbzuvDAaDdc+YtJ21gN2zLO1Zki3leo6OjsLvv1ZqHgA2bdqEs2fPuvYdhBBCCGmejnKSIoQQsnwikYhlokiR1Ppl9+7ddYGf5eK1vTQjOmrWtlsWbZvhwIEDKtPXzo3Jq6irVqup0hg6XrPWnAK84XAYjz32mCpnNzMzg2AwiKNHj6qsskAgYHEqMrnxxhvVv00hJLC4kJLJZBAKhSyBNQmEp9NpzM3N4TWveY36WzqdxtTUlNpHMBhEKpWylOgSu3adDRs2qO8qiwiyiJ5KpdDV1WUp46TfD9m3BEvtMJ2kXnnlFSWS8uok1UwbFcbGxrBx40Zlc66ftzgS6U5SlUqlzqIfuCb0kIxVfTFNAol6+YtUKuV4riIM8fqs6yI4u30JXhaLFxYWMDo6iitXrtQ50pjZ1naBdsn0TqVS6r9cLmcpkSeLPvLc6k4+UmbMySkpEomo56ZSqajgowToxdFLX/zRxR+SuSznJOeQTCYtYhPBdI4yr4E4STllQ+tkMhkkk0lLNr9+HL30n7lwJYJH/bjyrMpxx8fH8corr6jAeCudpIDFZ0WQknvNBqntso6r1aqjSMrv96NQKKj7LugiKSnpaDpC6U4KumvS1q1bLSUgzPuhix1FuKkvMIirFLDYnlKplOrXAoEAksmkWtQIBoMYGRmBz+dDJpOpu6/5fB4XLlywvVbi+GT3fpTznZqaqhPxee0DzTIYpoBNroNdub1oNGoRFMp9nZub83RsQtqN6dxG1h/S79oJj6Vf1MX5diIpu3GIE14WKKUfDYVCSKfTljGvvM9MkZSM9V555RWcP39eCRq8MDw8bBHQkuVhzl/lPd4KotGo43hd2o0pSBCXUf0ctm3bZnveQiqVUvM/fW6rj6sDgQASicSK95F6+bRsNus6f4nFYpbxVTgcxvDwcMviXK973evQ3d2tBPmtxhzXdnV1uZan7u/vV+O+5YqkzDmmzHteeuklV0czfYxubteMk5TM02QuZjo0yfzNvEbSHsWBx+/317kn68e0izVFIhHX+fPg4GCdAEzmU/p5NooDhcNhJBKJlrgf2fUNpmttX1+fRRgmzmO33HKLKi0o3zudTqs2rc+ZnZB5zSuvvGL5fTNJj3ZMT0+jr6/P8dgiDtJFUnbbmLE2mZusBdyeZRmTyDhk9+7dKgYk45b+/n4cOnSIAilCCCGkxVAkRQgh6xyKpEgzyEJ0I+LxuOeAhF12nxtuQVI7CoUCEomEaud2TlLNlAdcWFioWzxZinBLJxwO48yZM4jFYio7VDJWDx48qM6vUXafHRLYSyQSyGazGBgYsJQ8k0B4Op1GpVKxBOpSqRSmp6dV+TO/3494PK4WWfTsQJ2BgQF1XFMklU6nEQgEsHfvXgDODjNmWUAd2Z8c/9SpUyrTWe6tmQlqtlu51s0gQp9yuYxYLGZp43q5vUqlokrD2S1eyTUXAZB+zWWx1ouQRujv718xRxY9AJrNZjE2NlbnXBSJRJDL5eqC7mafICKpnp4eJBIJVcJQxE8SLDx16pS61/ripAhSnJwhxFFI7osEtaVNikgqEomohRXd0l8ym0UkJX1HT08PZmZmbK+Nfn3MBSxpG8FgsGEgWdyivDhJmX+3c5ISAc7Vq1dRLpfx3HPPIR6PW0RS7XIJCAaDtiUEGmEX5N2yZYttxrVebm9sbMyyUBKPxy2OdrKQqN+bWCxme0/uvfdeS/syS3ls2LABFy5cqGuXegkSfb/hcNhSCmXfvn2qL5Hf+/1+ZDKZur51enra4jSiL0iIc9fIyIjl/EUUGAwGcfXqVXR3d6vPODmw2WEueNmJpOQamCUl77jjjrpSfeLI1gqHB0KWi/QN5vNK1g/6+818t6RSKczNzTUUSXktt+cVXWRgjnnFxVLvo2W8AiyKNvL5fJ2rKVk5zPlrK2MqsVgMmzdvtv2bnbOqPj9pZqzV3d2NDRs24MSJE9i6dav6vYyZent7laC71YlXXtCF76ZzjU4sFkNPT4/FSeq+++6zlE1bDiKOapfYwrxn999/v+v2sVjM4iS1nO+oJ04Jc3NzyOVyFvGTOSfV56nxeNwi6mokkpL3rHw+FoupvsxOJOXWrqXcns/nw+7du223cUrIu+GGG1zv6cDAgHIc1unu7m5K2BQIBNDV1eUYw9HdVhsxMDCArq6uut9NT09b7pGZaBKJRLBjxw4AwI4dO1SymuxL4ioy/3Z6x4kg6/z58+p3ErdY6vhJSmumUinLOZdKJRVH0ee9sVjM9lraiaQkgWUt4CSSkkRAwDpfN52kdAdkQgghhLQORi0JIWSd48XOnRDBawB4+/btnkUby808a8TCwoLlXJbjJJVIJDA7O1sXUGtWuGUyNjaGn/zJn8SGDRtQqVRw8803KyclcYjy+/1N2bELcq6JRALz8/Pw+/3qd8FgUC3CpNPpugB4NBrF/Py8si8XFx0JsolIxQ39/lYqFXWtNm7cCOCayOP06dN15y1BH3HtmZqaUn8X4VilUsHMzIwS4di1pVQqVRfgjMViS+77RDShB+L0cnsPP/ywq0hKhEBOzj0iSPPKPffc05KgmB5ctbPFr9VqePjhh9XP+XweXV1d2L17t+WZsivDKGIlHSknMzg4qEoVSElGuTfRaBRf//rXbReFpP2ZQXVBFlbC4TCuXr2KV155RQnmRCRVrVYtLkLSpsQxSMqHiUPAl7/8ZcfAsRcnKd3Jyg1p33biIlMkZTobmS5s8owNDw/j6NGjOHPmDHbs2GEpQ+pUxqIV6NewWcznYN++fbZOGHq5vUQiYWlrssinfz9zwcVJJCVud9K+crmc5bkfGhrC5OSkRSRlJ8TV0ReS+vv7lShW+t9AIIBMJoNisWjpo+bn5y331c5py+66yLvj6tWr6O3txQ9/+EPLNfCywCZCM8F8b8tzKKVRTIGkeU75fB7ZbJYiKdIR6CV8V7qkFFkZarUannnmGdu/DQ0NYWpqypNISoTsrRBJ6f2oOGjqxzLL7enjqJGRETW/4aLo6mAKQVYqpqKPh/V3qJTca3asJWXUdQG3iJKGh4eVk9RKi6RqtZoSSYXDYde5djAYxL59+9QYyefzqdLvrRxnNCOMaQY9eQmod5bSMedmyy0BeNttt9X9bn5+XrncybnYuTxJ3xOPxzE8PKz+Fg6HbftQwD4BYmBgQCXK2LmW2omkZD9Sbs/n81mEfjpOsSYzscAkHA5j//79yrVL2LVrl+P3s8Pn8+Huu++uG9cL+/fv97yvXbt21cXYRMSYSqUsAhpznC5s2bJFzad151/dScopUUvcijOZjNpGkuyWEs+rVqv41re+pYRW+rxmenq6Lj4EOM9Zt27dWufAFg6H18w70kkkFQqFLE5SuoNxsVikUJoQQghpM4xaEkLIOqdVGXbk+kCyzlpJu0VS1WrVEkyyW1jetGmTp2DX6OgoLl682PJzFJGSlHIbGhqqCzZJ4KrZAO2WLVsALAYwM5lM3eL1c889h8HBQQSDQUvJPuCaQEBEUpJNLC5QwWDQUkbJDv3+VqtVbNq0Sf2tVqspG/SzZ89aPqcvVj377LMAgBdeeMGyjYgRZHFLArnmwsHo6Ghd1mU0Gl1y3yfBWlMkJeX2pqenlZuKk0jKbTHWq2Ob4FTG0QtOi316mTBhbm7O4lDk9/uRSCRw11131T1jdkIJUyQl7evuu+9W5yA2+rIYGY1GMTAwoK6tXbk9J5HU9u3b1XEzmYwSOJpOUnYOOeLoJvdQsqmnp6cdg61uTlITExOqTXhxkgKgSoyYxzPL7YnTG7AoujH3L89YIpHASy+9hFOnTiEejyMYDK6Yk9TCwsKSgtTmfbUr2whcE4cVCoW6APPhw4frAuqmg52TSAqAEtoB9SIpv9+PoaGhOpGU+Y7RFxtuvvlmy9+kTIwIR6XETKFQqFsA1RcxvQjbgsGgcj+Qtjc5OamugWSEN3qvmIuj5ntbSj7ZiaRMAoEAstls02JQQtqFiFLb2Q+S1aNRic/u7m5ks1lLmWO7RA95F4jz2HLRnWnC4bBlPG333tTfRSK2lnc5WXlMhxK30mStRN79du3QLLdnYlda1Cx/Jse44447kEwmlUhqua7JS0HGuHv37nVNFPL5fNi+fXvd9Wh1nKtdTlJenYRENCbIPHo57c5uTC3OR3qbNo9tlqHT6e/vx+joqOtxxf0JuOaqagqxZI4nZdftEPdct/iU11iTkzDopptusvy8devWptuCnpjWDm644QZs3bpVCbrsnKR0ZP4rAi0RKTVyLZd3T6lUspSxdUpUk307MTs7q9yZzSQip/e2UzKKnUv4WhJJOQke9UQaUyQliV2EEEIIaR+MWhJCyDpn586ddeIBQpxoRwallElqF7olPQAlTtGDKD09PZ6yMHt6etq6qKs7dekBEWDpIinJkrQrgzQyMoL77rtPXR+9RJXQ19eHUCiEeDyOQCCAw4cPq7/5/X7s3LnT9fi6xX21Wq2zwq/VakqwItsD1wKjk5OTmJiYQLVaxfz8vOWz4lgkwTkJAE5PTzcMOMv3WQoSkNbvj15uT0RSEhA1qdVq6vs52aqvlHhAD8jpz6GIHnREpCTBTl0oZrbVUqlk2Z+dSMo8PrDoTiUiqXK5jGQyiQMHDuDQoUN1IqkdO3aoNmD3XIyOjmLHjh1KCJLJZJRYpFKpKJGU6Xgli0yxWEyVBBSHgNtvvx3btm2zDfjq1wa4JtYrl8v4yle+smSRlBmId3OSGhoaQn9/v+U89AWUBx54ABMTE4jH40gmkxYnqXaKpOzES17wuggh7cvpmdKDyqlUCjMzM3VOUk5B/HA4rNqXuMDp3HzzzQ1FUo8//ri6Z6Ybwu7duxGJRFT/q5cO1I8lpUr17+TFSUoWCGTBan5+HoVCQQk7pX27YSeS0q+XPGNeRFLBYBCZTMbiGEfIaiJuohRJrU9EKFEoFGz7eXGpEcdIALj99tvrtpP+1EmsuxRk/B2JRFTZVPnZfP+b4v5oNLqkeQFpDbozL7DyTlJ2uAlXnLBzN9VLZEu7b6YkWCvw+XyIRCLw+Xzo6+tr+MyJc5ROq0VSq/2sZbNZ5ZQj4zB9/Nkq+vv7kU6nLSKpcrlcJ5JaTnt/8sknLf1xb29v3ZwmnU5bXLD1NiCf9SKAMsesTiSTSWQymWa/iifsSqi2kj179iAWi6m4jDkXMduunWuR7iTViGKxqGIc4gLtdB/MZ/fSpUsqEUsSrvr6+urOWRzz5N5J4p6X+Y+gJ9F1Ok7vkHA4jFtvvRXAYp+mt306oBJCCCHthyIpQghZ55gBB0LcaJdIqp1B5VgsVudyY5YC84rP58P999/fytOzEAwG1YKJKZLy+/2WxfqlYAbEBgYGGpZPuPXWW5FKpZSoyFzg37Vrl+vn9cCkk424iFV0wuEwzp8/j4ceeggzMzMoFAp1duJSliqRSCAcDuPw4cNKTJVKpVzPa2RkxOJq1QwiOhHBlwSppeRULpdT25hB2WeffVZlxDq566ykSEp//qrVqnof2ImkpE3m83nlfiPnqbvriMBJf7foVvE6ZnseGxtTYsFyuYyNGzdi165dKjCvi6oGBgaUG5VTAFSEjYVCAdlsFuFwuKGTlIjYpO+QUnF9fX3YuXOno3ua6SQl12J2dlYJ6OR6exVJZTIZWycpXSSlt7NYLIYtW7YgHA6roKkuktq1axey2Szi8Th6e3tV3+hW/nG5LKeUn9f+TgL7TmIs/Rx6e3sxMTHhqdwesHgfZFs757WNGzdaFqnsFuWkZKgdQ0NDlp9FJGWWWjRLSOiLmE4EAgHEYjGEQiG16B+JRDA3N4dyuYxYLKaeCzdMtzpT9CiB+macpCKRCJ2kSEcgrmYUSa1PdJcwp3eRJARIn2rXN8l+xKGvFci4SFwJBSmjY76ndJLJJHw+n1o8JSuL6SQ1Ojra0F23FbiNqYLB4JLK7Znv7Gg0qtp4T08PNm/evLSTXSa6e2YjfD5f3VhleHh4SaXqnVhtsUUoFFJitXY6cf+7f/fvEI1GLSIpKd0sLFckZSY+HTp0qE487/f7lZN1MBjEzMxM3ee84FXYOjQ05ElMtRTaLZKyO54eWzGfDX3+m8lk0N3drcrYVyoV1+slYybTScrrtZucnMTMzAx8Ph9GRkZwyy23YNOmTXXnXKlULOc9Pj6OoaGhpuaVa8lJyil5RI/X63NM6bsbOakRQgghZHkwakkIIYQQhVkmqBW0WyS1e/fuOgGH6STVDMPDw606tTr08leJRAL9/f3qbyIyWY5IysnG2w2x208mk6p0XzOY5fbM616r1WxFUqFQCKdPn8bIyAjC4XBdqTdg8XrNz8+ju7tbCQvEpaRR+cTlOAGIKGdoaEiJicR9KJPJIJlMqnJe+vcvlUo4d+6cKrHSCSIp/Vi6mMZOJLVnzx51zVOplKX8gP6M2WV4bt++3dapzAza3nvvvapPkKCr3KdarVbn/CTHa3S9isWicmWQe1IqlSyCDildIvcyHo8jHo8jn88rgaDbgo0pkhJ3Ermu0iYaOUnJc2JXbs/n81lKrDhlkItgD7DeV/lMJBLB3r171XNi537UKpYjwPLa34nAwSyjJ+gB9e7ubly9etWy3Q033OB4T2Qh2g3TSco872w261l80dXVhUgkogRwwh133GHpT2Qxww0R3m7ZskU9f6lUCvPz8zhy5AhisRgymUzDRcTbbrvN8rOUo9QR0WQjkZTf71d9NEVSpBOQd468H8j6QvrKcrns2A/ffffdDR0ndGe+VrUTt7GqjIGEgYEBy99l/GRXGpC0H5lzCMlkckWchuwEAiLgFuclJ+xK9IkQRUdvl4FAwFNJ+nbQbDlxM/FneHi4pcKm1XaS2rBhg/qO7Ry36wJ7XSSlf39TJNgs8/PzdW3Vri/r6+tTxzp06BCuXr1aJ5RqdI+9xpp6enraFudZaZGUWUbzlltusfxdyusBi8kTW7ZswejoKIaHhz21K0lMARZL5vX29noW7ZXLZVWie//+/RgeHlYCIdNJSneRq9VqGB0d9ZxsBCz2ASvtgrdUIpGI4xxW/7fuAB4KhVScghBCCCHtgREiQgghhCjaERyUbLR20dXVZdm/lOfqxIUwPVCdSqWwYcMG9behoSFs3bp1WYFqO4GJVwKBQJ2TiRf8fj8uX77sKHAB7J2kRFwijkWzs7N1gUVZbO/u7lbBoe7ubly+fLmti0a66CSdTmNubk5lZM7PzyOdTivXoFgspoKI4ogli7GdIpKSa6cvyMXjcWSzWcu2Y2NjABZdcfr6+ixuXbpgyi5w77RoYy6ASJBUL3unYycK8vJMFItFVKtVi0hKBHry/SuViioXIOX2YrFYnYOZE6ZISu6jKZJqFNzN5/OqhI5dKTQvpTV0YZLpftTf37+iGafLcZJqptyetBm7a6OL7aLRKCYnJy1tb2hoyPGe6CVGnWgkkmom239sbAz33HNP3QK5OAlKe/TiGCF9jZRdBRb7rKmpKbz88suIx+OYm5trKJIyj2O3qOpVJOXz+ZDNZuvezYSsFrqT1Go7hZDWI32ym5OU3HsvIqlAINCyd6hb32u6ZO7fv9/y92ZcdkjrWa5IZKk4jalqtZqn8bD53g0EAnVj8b179y7vJFtEs21cnze3g9UWSe3evVv1Pe10kgLQ0EnKFE01Q61WQyaTqXMespu7b9myRT1r4iD94osvWvrgRnN+SVpphN/vx759+zx+i+ZYDScpM8nG/LuM1e+66y41x5Bye26uULVazTIfCYfDrvMok3K5jEwmUzdXMIVdlUoFBw4cUOfy+te/XolT9QQnNxKJxKqJPJvFSSSlP2cijAKuJayYzsOEEEIIaS2MWhJCCCGkrbTbScpkuU5S7cTn8zmWNPD5fIjFYjhw4MCS9+9U7q6d+Hw+PPfcc5idnVU/m5RKJRVY04Ndvb296OnpQX9/P2ZmZuoWuXw+HzKZDHp7e9X9TCQSmJuba2uwSBdJJZNJZDIZdW3n5uaUSMrn8yGRSCiR1NTUlCobEAgE6oJa8t07wUnKTdhiV87QdGvzmt1slyWuO0mZAd5CoVAXlPcS/CyXy6qMniwsBINBlEol1SZffPFFhEIhJQjs6upCIpHA6Oiop+8iIinZn9xnEUd5dZIqFAqIRqPKSUp/ZkXYJY5SwOLiQD6ft+xDvpsdXr9Pq3A7l0Y04yQl7c4pC1cvg7Nx40aLK4fbYpPe1p0Wxk2RlLnwHY/Hm36mzfYPLAbQdZGUFycpfR/SJqenpzE3N4dkMonZ2dmmF7rcnKREIOpGIpFQJVwJWW1kATUUCq36IjhpPdJXinukE41EUul0GsPDwyvmJCWlmZ3Ytm1bS86BLA3pM1Yat/F5o/GwnYOj3++vG4t3gvNKrVZr2sG4UQn45dJJIlopd9aucdT+/fuxZcsWlSBliqSApYvGFhYWbPtQuznhgQMH1LMWDAaRz+cxPT1t2aaRSMrn8636eHM1RFJuyW2mI5H+OS9z+HA4rOIb9913X1OivXK5XDe/tTt2pVLB2NiY6vNkPqaf+1Jc0jsVJ5GU2e/IcydCxUbJKYQQQghZHp23ekgIIYSQdYXX7L5W4fP5PDmxrBaNFj2Wk72+WoGkrq6uutJtwGIwVARGdkHDgYEBbNy4EXv27MHMzAwikQheffVVXLp0SW2Ty+XQ09Oj7qeIltqJXgZLRAsizsjlckgkEmoBIxqNKlHD1NQUEokEwuEwarWaZT96cHElnwk90GgnyrCjURtcrkjK5/PhxhtvVEImoVarYXZ2Fl1dXZbtvWbO24mk9PN84oknlEhqbGwMfX196O7uxute9zrH/eqBeinhJ9dT7qO0b3GFaCSSyufziEajiEajdY4VtVoNjz32GILBoBJJ7d271+IUBLiXuLv99ttdrlTrWYlyeyI+cxJJhUIhy6LfPffcY/n7cjPy9XeKnXgpkUi0RCQVDoctIrxG10fPFAcWr0OlUlHiUnHpa+QkZRKNRusWX/bv3+/JSQpYLN3L0makU5AFVDpJrU+kryyXy67vokgk4uocGI1G0dXV1VInKfPdbR7PrT1u2rSpJedAlkanOUkBSxNJBYNB5RTbSfh8PmzdunW1T8NCJwkT/X4/zp492zb3rHQ6reYhgP2Yc6mJW9ls1nb+5yR2kjF+MBhEoVDA/Py8JamqUbtf6ViT0zmYZbTbSSgUQn9/v+Pf9fm/TiwWw8LCQsP9RyIR5PN5+Hw+5QzrdR4lSU92rnZPPvkkXnzxRUxMTKh5UDQaVYIs2U6uo+m4uJY5ePCg7XdxE0m5zX0JIYQQ0hoYtSSEEEJIW1lpJynAW7mq9Ui7Sxs6ceDAgbrFemCxNF4qlXJc7L/99tsRCASQSqVUSairV69agnfhcNgSxI3H43WuOq1GD0aJ3bz8TgQ8Us7NtK0Xi3pdPANYhUXi7rSc8ohe0Z2kTNcCJwegVoqkDh06ZLt/ua9mMNlOUOdFJBWLxZRzjQRyxd1J34+U0gGAvr4+jI2N2X5f+d2jjz6qfletVlEsFi33VI4hYjrZfyMnqUgkAp/Ph5/8yZ+0/G1hYUGJUGQfgUAAO3futGwXDAZVecdGpQjaTSNRmBvNlttLp9O275O+vj5XhwHdmWsp6H1rJBKpW5hIJBIW5yov2AX+dZFUT09PQ1cws9yGlOjL5/MYGRlRznvNugGY5WCBxWvsVSS1Z88eiqRIx6A7Sa2XxTZyDen3fD5fQ8Gulz4pGAy2TCRlvrt1EonEipbGJc3R29uLvr6+FT+uk0gqFArh5ptvdv1sLBazFSY069h0veImalxpAoEALl26hMHBwRU53t69e+v6I9NV2CvxeNxWEHXw4EHb7WXuJm5MzZZd7wSRFLBY+n2lxhjDw8OuQlonkVQkEkGhUHB990jJt2w2axHsNDPXsxP2BAIBnDx5ErlcDsePH1fbiCDL7txXUnjWbmTub+ImkpKYy3q5BoQQQkgnsvqjSEIIIYSsa1YjcHW9iqScbLzbzWte8xr09PTUBXDGxsZw6623WkRSenAomUwCWAymTk1NqeCRHiiTcnyyYC9CiXYj5ylCIgnkSem/arWKSqWCcDiMSqWCUqmEeDyOSqWi3IrK5bIKfNmJpKTsWjvRxWvipCEcPHiwaWEH4J7lbuJ2r+LxuKegn5drFI/HkUgkAFwL5OrnGY1GsWvXLvT29jb1jFy+fFndN1MkJX2biKSkjdiJho4fP45XX30VwGI5Q2n78n9BRFKmC5ZJKBTC2bNnMT4+vuqLrGbJt2bwunAn13V4eNj2/vl8voYB/+WIpPT3WDQaxcaNG+vOr1lHBLvAvwgs5d9m+zBJp9MYGhpSP4vLVTwex+bNmxGNRlsqxvT5fJ4zmimSIp2CiBzD4TD27du32qdDWszQ0BA2b96sym0vFxFctZtG/TtZXRKJhBpXriR2Y+xEIoHu7u6GrpB2IimyNpG5zEqN8VtZgvHw4cO2+3OaEx44cAA+n0+V2zOFqmuh3B4AZDKZJQvLmqXRvMcuec0r4gKWz+c9iaTs5ld2sTj9fCRZLBAIWFy5ZTtpAzMzMyt2TVeLPXv2WH6Wfl6cpMrlcke0b0IIIWS9wtkTIYQQQtrKajhJrYRDTycSiURW7XvffffddZlwutDIzcnE7/ejq6sLkUgE8XjcssjV09OjsgyFlczslu8ggeodO3YowZMukhJ3IPmdiKTsnKSkJFs+n2+6DFaz6E5SputMKBSqc9/xEoxvxknKjVgsZjkfp2N7EdLEYjFXkVR3dze2bt2KDRs2NNUfJRIJTExMqJ+dnKSi0agKYtqJpM6ePasCwLlczrYMhexf9uOWsRsMBpHL5TAxMeFabmElMJ/PZvBaAiYSieDgwYO45ZZbGi6WtAP9OTIJhUJLWpjXRZRCs314JBKxlMWTvnb79u04fPgwwuFwy/sYiqTIWkPGoT6fz7HvJWsXEYC79dPNsFKODZ1YAo2sPnYiqS1btjR0lgQWy58PDw+369TICrLcMtGrSU9PT1MOpiKCEScpsw+2cyXW6RQnKbtx/Wrh5CQFLCbruAlAk8kkQqGQckgG3NujuDfr2Al7IpGIxf2qVqvB7/fXzVPE+bNWq+H8+fNtKznZKZjlzaWvF+Egy+0RQggh7WX1R5GEEEIIWdesRgk4u2DN9cBqOUkB1wI5dsjiVTabdXRzueeee7B9+3YcOnTIsoh5+PDhum3tftcq7BxnqtUqLl68aBFJiWhKF0lJIFHcYHSnGF1YtG3bNvT09KyIk5QIsuQcGi3+1Wq1lpbbc2PDhg2eFqxN1x474vG4KoUo90cvt7dp0yYMDg6qrMxGSBtIpVKYn58HsBi0NUVSppOU7N8MJIdCIU/XzO/3q7KIbosjoVAImUwGmUzGswimkfBqOayEcKkViyCN3KSc/u52bL1EXjOIkM/c13K+o5QT279/v/qdPBetQn8G3EgkEm3v3wjxwmqVIiYrhwjhWiFwWqlF7htuuGFFjkPWFjKu1MXXiUTC01gvHA631BGIrB7itLOWaXZsLCVTg8GgZTzeyHVvNRLy7FgJp2uvuImkdu7cWedepNOsSEoEUeFwGFevXgUA9Pf31x0/Foth+/btdfuJRqOWbX0+nxJxicD9emLbtm0AYIlZdEL7JoQQQtYrjBQRQgghpK2sRuCK5fZWB6fFqVgsBp/Ph8cee8zxs2NjY+ju7kYoFLIIZ+yC/UspEecVuyBgLpfDzp071c+S5S2ZjrqTlIgUZLHOTiQlwT75TDsZGxvDyMiIOodGi3/FYrHhNq0S2wwMDFi+/3LKoSWTSdx6660Ari0smEF2oPnyA3p78Pl8FuGb9G0ikpIgcSgUqnMBsLv/dkjZAS9OUtlsFplMxnO2djgctpQzaCWr4e60FJaa5e0msgiHw01lzAt2CxjLFUlFo9G67PBWi6QOHz7sSYgwPDy8oq5/hDhBkdT6R4SsrRgD04mHrCY+nw/j4+Pr3j1lOWP+64F2JjasFEu5x0spLdYpTlLd3d2rfQqKsbExR7eoTZs2uc5Fu7u7sX37dpRKJVeRlNzfWq2GQCCAVCqFb37zmyiXy7j11luxefPmun3bOeXZuejefPPNjb/kOsfn8yEUCiGVSq2YwyUhhBByPbL6o0hCCCGErGuaFSW0gutVJJVMJpe0WN8qnAI4N910EwBgfHzc0/mtZjkcn89XFwTMZDKWLFYRvEjWpCmSknJ7kUjEViQlVCqVtjut+Hw+S9nDRkE2PSDqRKtK2pgsx1nr1ltvVd9T7mEwGKwT7zS7iKrfN9NJanR0FOFwWB1L2kQikcDCwoLjftwQgVQwGMQPfvADx+0kwzebzXaESGqtOAaVSiVHkZS4eNnh1ubD4fCShFfRaLRukcLv99eVwGyGgYGBupI827dvX/L+7Ljzzjtbuj9C2k2nuEyQ9iGL5K1YSGx1n0lIs8zPz3eU4IKsPGu53N5y0EvVe8Xn83XEO76TXNwk8WwpyFw2Go1aRFL6HOn48ePIZDJKwBMMBpFOp3HmzBnk83lL/EFHL1Eu+wsGg3VJY9ebe5QdPp8PGzduRCqV6oj2TQghhKxXrr/VQ0IIIYSsKJFIBAcOHFjRY16vIqktW7a03DWkGdycpADg0qVLnpyTnDIfVwInJyn9nHSRVCQSQbVarRNJicuUm0hKXINWCi+laCqVSsOgqmQ2tpparbbke68HU+XfgUCgrkSD3+9v6prrmdxSQlEClWNjY6osntxfv9+PRCKBXC5Xd35eFju2bNmiMnLPnj3r2I/JgnCzIqlCoeBp22ZxK9vQSTQSSTndI7csdXGPaxandtjf39/0vtyQsg2EXK8MDAys6riCtB9JyFipUnmEtJNsNruu+yyZQxFn/H7/mhaK2JWv94LMQ5v5bKc4Sa23JAK9zKc5Rzpz5gymp6fR09OjnHHT6TT6+/uRz+cd92nnJOXz+SgKdWDTpk0YGRlZM47NhBBCyFpk9UeRhBBCCFn3rHTgqlOCZdcbbgKcWq2GSCTiSSS1HCeV5WLnJmOKd3RBjJuTVCwWU+3QTiQVDAZXdEFv+/btnkrpeRHdtMOxLBwOt3RRKBgM1u3P5/MpZ7NG1Go1VbpPyivqIingWnvRhXNSgtEJt0WPbdu2oVarYXBwEDfffLNjUNTn8yEWi6FQKHi+F5FIpG1OUq0W9rSLRiIpJ9zeKfF4vE6M54V2l9okhCzS09OzZtzuyNIQFyneZ7JeWM/llSiSaozMMdcqwWBwSbGYcrmsXHq9Eg6HkUqlmj5Wq1nLojY7+vv7VRv0+Xy4cuWK+tv8/Dymp6fR3d2tRFKRSAQPPPCAa0KOiKTMa8Xyes64lU4khBBCyPLh6iEhhBBC1h3RaJQiqVXATYBTLpfR09PjSRgwMjLSytNqCjs3mXg8bjlvUxBTKBQwPT2tHGWkzJ4esLUTScXj8RUNqPb29jY8XjAYXFWR1FLEJnaIsO3QoUN1f/N6zSuVinJfeuaZZ5RISl+4EhGVBH0blSIcHx9veNxqtYre3l7ccMMNGBwcdNwukUgoFysvhMPhJWV1ryeKxaJj23Ur1eQmkuru7samTZuaPhcu5hNCSGuQkor79+9f7VMhZNmspivwSiDjZuKMiE7WKkstzS5zr2ZEUrFYDJs3b276WMSdAwcOqOfU7/fjhRdeUH+bn59HPp9HNBpVIilgcU7klpAj8+V2uhsTQgghhDQDVw8JIYQQsu7QHXzIyuEW8C4Wi9ixYwf6+vpW8Iyax64sWk9Pj0VYEwgElHtQOBzG9PQ0nnvuOVWGbmRkBJs2bcJtt91m+YydSKrT8CqSaocD1v79+1uWKSnioeUswpTLZUSjURSLRVcnKTmWLAj4fD4Ui0WLIErKTpw4caLhcWu1Gnw+H5LJJAYGBhy308sgeCEcDq+7LOdmaeQk5dRegsFgy68dRVKEENIaRCS13sUl5PpgvbdjOkk1Zq07SS1VJBUKhWznzGR18fv9mJ+fVzGSUqmkRE66SCoWi7nOvUUkFY1GXcvyAevPmYsQQgghnQlXDwkhhBCy7qCT1OrQSJDS29vb8cIAOyepO++80/KzOEhJALtQKCjB065du9DV1QWfz1cnrDIDvp3oeCDfrRHtEEm1UsRTrVaX3QeUSiVVoq5UKjUstxcMBhGPxxEKhXDx4kWcO3fOsr9yuYx8Pt9wYcjruScSiaact8Lh8HXfLy5HJNVqDh482PJ9EkLI9YiIpAhZD7gJ5NcDFEk1Zq2LpHThTDNEIhE1tyKdg9/vRzabRblcxtWrVxGJRJTISb/X4qbthMzBenp6MD093fC4bAeEEEIIaTf0tyWEEELIuoNOUquDW1BMXJc6HTuRlCmqkO8iwphSqYQ3vOEN6m922Imkenp6WnjmrSEUCq1aub1W0ooFGCmtV6lUUKvVEI1GbcvtVatV5cC1bds2AMC2bdvq2pGIpLwIbryIxbZu3YpMJuP5+9BJatHRzk0k5UQ7RFKtKi1JCCHXOxRJkfXELbfcstqn0FYkuYA4s9ZFUkt1kpJENzpJdRYiXKtUKnj22WcRi8VQKpUALMYO9LJ8bk7ZIqjq6+tzLcsn+7re562EEEIIaT9cPSSEEELIumPbtm1Ip9OrfRrXHZs2bXL821oSSTXKWpTvcsMNNyAcDivbeDdCoVDDYGAncPjwYU9uX51+LyuVyrKEksFgEPl8HqFQCOVyWQWCy+WyY7k9XXxjt8Dl1UnK68LCli1bmhLarPUFl1ZQKpUcr4Gbk9TmzZvbeVqEEEKWAUVShKwd+Lw2JhaLYcOGDat9GktmqSKpSCSCQCBQl2hCVhe/349oNKqcpKLRKBKJBIDFOZLuftfX1+e4n2AwqEoqDg4Ouh5TktEIIYQQQtoJRVKEEEIIWXfE43EGX1cBt2DuWhFJ+Xy+hoFZ+S7xeBw+n8+1hJcQjUaVLX0n4zVjUwKjnYoIl5ZKV1cXJiYmlJNUuVxWbUMP+ku2swR9Tebm5gAsZs17dZIKBAKe78P27dub+FaLiw/XM27Pqs/nc7w3Y2Nj7TwtQgghyyAQCHDcT8gawU2UThYJhULo7+9f7dNYMkvtk6XcHp2kOgu/3490Oo1sNot8Po94PI7u7m4Ai/Mnfd560003Oe4nGAyqZ//OO+9seMxG8RVCCCGEkOVCkRQhhBBCCGk7wWBwTQg07MrtmZiuQWYJNqf9NnKoWku4BUA7geU6SfX09ODq1asIhUJKJAUsip30QLDf70dfX19dmwAWS7s99dRT6jOtdpIC3N3b7IjFYk1tv94wRW46XLQjhJC1CZ1pCFk78Hld/wSDwWWV26OTVGfh9/uRSqUwPT2NVCqFeDyOQ4cONb0fvTRfKpVqeEzOywghhBDSbiiSIoQQQgghbae7u3vNiKQaiZmi0ahFnFIul5np2GG0wklqfHwckUjEks1sOjxt3rwZN998M/x+P2688UbL32ZmZlAsFlGpVBAIBFAul5XrlBvNOEk1y2233daW/a4HGIwnhJC1CUUXhKwd6Py2/llqub1UKrXuEovWA36/H4cOHVIiKcC7+7SOXVJRK7YlhBBCCFkqFEkRQgghhJC2s3379jUR6PL7/Q2DusFg0FICwYuTFFlZ3ByDvBAIBNDf34/u7m6LK5UZtJdFAJ/PVycCjEajSKVSFpGUW0k3c5/toF37XQ/09fWp0hGEEELWDmu9NBUh1xMUNa5/ent7MTo62vTnbrrpJpbb60B8Ph96enowPz+PSCSy5OfX5/Nh586dnrZl8gohhBBCVgJGyQkhhBBCCPk3fD5f04G/5boWkdaz3HJ7APCGN7xB7UuCtM0Ea++++26EQiGUy2UEg0FVss9Lub12OUld77gtuqTTacTj8RU8G0IIIa0gFAphw4YNq30ahBAPUPyw/gmFQksu8R0IBFhurwMJBALI5/OIx+PLSnwbGhryfLy1kGBHCCGEkLUNRVKEEEIIIYT8G0vJbo5EIhS1dBjZbBaJRKIl+xInqFqt1lSwVhYH8vm8cpIKh8OrWm7vemZ+fr5lbYIQQgghhDQPnaSIG36/nyKpDiQYDKJQKCAej6+IyLGrqwvJZLLtxyGEEELI9Q1FUoQQQgghhPwbSxVJkc4iGAyir6+vJfsql8uqTSwlo/Whhx5CMBiEz+dDLBbz5CTFsnit5/Lly9i8efNqnwYhhBBCyHULRVLEDc6BOhNJ+IlEIivi8DQwMIBUKtX24xBCCCHk+oYjT0IIIYQQQv6NpQTuo9Gop+18Ph9qtdpSTos0yT333NMyNyZxkvL5fEsKCp8/fx6BQACBQADRaJROUqtEJBJBOp1e7dMghBBCCLluCQaDFEkRR/x+P+dBHUgwGESlUkEkEmG5TEIIIYSsGziqIYQQQggh5N/w+XxNB/68OknF43FMTEws5bRIkwwPD7dsX9VqdVlOUuJEFQgEEIvFPImkmEXdenbs2MFFF0IIIYSQVeTw4cMcjxFHKJLqTMRJqq+vj+UQCSGEELJuYPSdEEIIIYSQf6Od5fbS6TSDvmsQETgBzYukSqUSBgYGEAwGEQwGEYlEPJXbYztpPYcOHVrtUyCEEEIIua7hGJe4wWSRzkScpJLJJJ15CSGEELJu4KiTEEIIIYSQf6PdIikGfdcegUAA1WoV8Xi8aZFUoVDArl270NXVhXA4jFAo1NBJateuXSxDQgghhBBCCLmuoJNUZ6InDRFCCCGErBdYbo8QQgghhJB/Yykiqf7+fk/bJZNJz4Iq0jmEw2Hs2rUL/f39GB8fb+qzfr8fQ0NDSCQSiEQi2LJlS0OhXFdX13JOlxBCCCGEEELWHBRJdSaBQADhcHi1T4MQQgghpKVQJEUIIYQQQsi/4fP5mhZJ7du3z9N2gUAAt9xyy1JOi6wioVAIg4OD6t/NfjYajQJYdBwbHR1t+fkRQgghhBBCyFrH7/fTebkD8fl8iMViq30ahBBCCCEthaNOQgghhBBC/o1wONxWJx9mxq499KzZpYikJKC8ZcuWVp4WIYQQQgghhKwb6CTVuVAkRQghhJD1BkVShBBCCCGE/BvRaBSbN29e7dMgHYQuktq5c2dTn+3t7UU8HgcAbNiwoaXnRQghhBBCCCHrBYqkOheKpAghhBCy3mC5PUIIIYQQQghxQBdJDQwMNPXZ7du3t/p0CCGEEEIIIWTdEQgEWG6vQ+nt7V3tUyCEEEIIaSkcdRJCCCGEEEKIA7pIihBCCCGEEEJI66GTVOdy8ODB1T4FQgghhJCWQpEUIYQQQgghhDiwbdu21T4FQgghhBBCCFnX+Hw+OkkRQgghhJAVgaNOQgghhBBCCHFgeHh4tU+BEEIIIYQQQtY1Pp8PwWBwtU+DEEIIIYRcB1AkRQghhBBCCCGEEEIIIYQQQlaNQCCw2qdACCGEEEKuAyiSIoQQQgghhBBCCCGEEEIIIatGJBJZ7VMghBBCCCHXARRJEUIIIYQQQgghhBBCCCGEkFXj5ptvXu1TIIQQQggh1wEUSRFCCCGEEEIIIYQQQgghhJBVw+fzrfYpEEIIIYSQ6wCKpAghhBBCCCGEEEIIIYQQQgghhBBCCCHrGoqkCCGEEEIIIYQQQgghhBBCCCGEEEIIIesaiqQIIYQQQgghhBBCCCGEEEIIIYQQQggh6xqKpAghhBBCCCGEEEIIIYQQQgghhBBCCCHrGoqkCCGEEEIIIYQQQgghhBBCCCGEEEIIIesaiqQIIYQQQgghhBBCCCGEEEIIIYQQQggh6xqKpAghhBBCCCGEEEIIIYQQQgghhBBCCCHrGoqkCCGEEEIIIYQQQgghhBBCCCGEEEIIIesaiqQIIYQQQgghhBBCCCGEEEIIIYQQQggh6xqKpAghhBBCCCGEEEIIIYQQQgghhBBCCCHrmuBqnwDpLAqFguXn48ePr9KZEEIIIYQQQgghhBBCCCGEEEJIe9m+fTui0ehqnwYhhJAVgCIpYuHcuXOWn9/61reuzokQQgghhBBCCCGEEEIIIYQQQkibefHFF7Fv377VPg1CCCErAMvtEUIIIYQQQgghhBBCCCGEEEIIIYQQQtY1FEkRQgghhBBCCCGEEEIIIYQQQgghhBBC1jW+Wq1WW+2TIJ3DzMwMvvvd76qfN27ciEgksopnRNYix48ft5Rq/OIXv4gdO3as3gkRQtYd7GcIIe2EfQwhpN2wnyGEtBv2M4SQdsN+hhDSblayn9m+fTui0Whb9k0IIaSzCK72CZDOoru7Gz/+4z++2qdB1hk7duxgLWdCSFthP0MIaSfsYwgh7Yb9DCGk3bCfIYS0G/YzhJB2w36GEEJIK2C5PUIIIYQQQgghhBBCCCGEEEIIIYQQQsi6hiIpQgghhBBCCCGEEEIIIYQQQgghhBBCyLqGIilCCCGEEEIIIYQQQgghhBBCCCGEEELIuoYiKUIIIYQQQgghhBBCCCGEEEIIIYQQQsi6hiIpQgghhBBCCCGEEEIIIYQQQgghhBBCyLqGIilCCCGEEEIIIYQQQgghhBBCCCGEEELIuoYiKUIIIYQQQgghhBBCCCGEEEIIIYQQQsi6hiIpQgghhBBCCCGEEEIIIYQQQgghhBBCyLqGIilCCCGEEEIIIYQQQgghhBBCCCGEEELIuoYiKUIIIYQQQgghhBBCCCGEEEIIIYQQQsi6hiIpQgghhBBCCCGEEEIIIYQQQgghhBBCyLomuNonQAhZfwwMDOD/+//+P8vPhBDSStjPEELaCfsYQki7YT9DCGk37GcIIe2G/QwhpN2wnyGEENIOfLVarbbaJ0EIIYQQQgghhBBCCCGEEEIIIYQQQggh7YLl9gghhBBCCCGEEEIIIYQQQgghhBBCCCHrGoqkCCGEEEIIIYQQQgghhBBCCCGEEEIIIesaiqQIIYQQQgghhBBCCCGEEEIIIYQQQggh6xqKpAghhBBCCCGEEEIIIYQQQgghhBBCCCHrGoqkCCGEEEIIIYQQQgghhBBCCCGEEEIIIesaiqQIIYQQQgghhBBCCCGEEEIIIYQQQggh6xqKpAghhBBCCCGEEEIIIYQQQgghhBBCCCHrGoqkCCGEEEIIIYQQQgghhBBCCCGEEEIIIesaiqQIIYQQQgghhBBCCCGEEEIIIYQQQggh6xqKpAghhBBCCCGEEEIIIYQQQgghhBBCCCHrGoqkCCGEEEIIIYQQQgghhBBCCCGEEEIIIesaiqQIIYQQQgghhBBCCCGEEEIIIYQQQggh6xqKpAghhBBCCCGEEEIIIYQQQgghhBBCCCHrGoqkCCGEEEIIIYQQQgghhBBCCCGEEEIIIesaiqQIIbZUKhU8//zz+PSnP43/9J/+E2655RaEw2H4fD74fD7cd999nvd1+vRp9Tmv/+3YsaN9X44Q0hGcPn0a//t//2/8/M//PA4dOoSenh6EQiH09vbi4MGD+KVf+iV897vfXdK+n3jiCbz//e/H3r17kU6nkU6nsXfvXrz//e/HE0880eJvQgjpVFrdzzQ7ngkGg238doSQ1WZiYgL/9E//hN/6rd/Cj/3Yj2Hfvn2qn4nH4xgbG8PrX/96fOxjH8OFCxea3v+3vvUtvOtd78KuXbuQSCRU3/XBD34QR48ebcM3IoR0Gq3uZxifIYQ0y6/92q9Z+oQtW7Y09XmOZwghjWi2n+F4hhBCyHLx1Wq12mqfBCGks/jiF7+In/u5n0Mul3Pc5t5778VDDz3kaX+nT5/G1q1bmzqH7du34/jx4019hhCyNnjmmWfwy7/8y3j88cc9bX/ffffhs5/9LDZt2tRw22KxiA9+8IP40z/9UzgNcXw+H/7Lf/kv+PjHP45QKNTUuRNC1gbt6md8Pl9T5xEIBFAul5v6DCFk7fDmN78ZX/nKVzxtG4lE8OEPfxgf+chH4Pe756vNzc3hfe97Hz7/+c87bhMKhfA7v/M7+PCHP9zUORNC1hat7mcYnyGENMPjjz+OO++8E9VqVf1u8+bNOH36dMPPcjxDCPHCUvoZjmcIIYQsF6Y2E0LqmJmZcRVILYdUKoV3vetdDbcbGBhoy/EJIavPsWPH6oQLu3btwv79+9Hf34+ZmRk8/PDDOH/+PADgoYcewp133onvf//72LZtm+u+/+N//I/4m7/5G/Xztm3bcMcddwAAHn30UZw8eRK1Wg1//Md/jLm5OXz6059u8bcjhHQC7exnhF/5lV9puE0gEGj+5Akha5L+/n7s2bMHmzdvRjKZRC6Xw/Hjx/H444+jXC6jUCjgox/9KE6ePInPfvazjvsplUp429vehm9/+9vqd/v378dNN92EfD6P73//+xgfH0epVMJv/uZvolQq4bd/+7dX4isSQlaZVvUzAuMzhBA3SqUS3vve91qEC818luMZQkgjltPPCBzPEEIIWQoUSRFCHBkaGsKtt96q/vv617+O//E//sey9tnb24tPfvKTLTpDQshaZseOHXjve9+Ln//5n8fY2Jjlb9VqFZ/5zGfwn//zf0Yul8PFixfxcz/3c3j44YcdnVz+6q/+Sgmk/H4//vAP/xAf+MAHVBZ1tVrFn/zJn+DXf/3XUa1W8Vd/9Ve49957PU2kCSFrk1b3MzoczxBC7rvvPrzlLW/Ba1/7WsfyDZcvX8av/uqv4nOf+xwA4G/+5m/wlre8BW9/+9ttt//d3/1dtaAYjUbx13/913jnO9+p/l4sFvHf/tt/wx/8wR8AAD760Y/i3nvvxb333tvKr0YI6RDa0c8IjM8QQtz4/d//fbzwwgsAgJ/92Z/F3/3d33n+LMczhBAvLKefETieIYQQshRYbo8QUselS5dQLBbrSs589KMfxe/8zu8AWHq5Pa+WzISQ9ct3v/tdnDp1Cv/+3//7hi4rX/jCF/ATP/ET6uevfe1reP3rX1+3XaFQwM6dO3Hu3DkAwIc+9CF87GMfs93nhz70Ifz+7/8+gMU+6ZVXXkE4HF7q1yGEdCDt6GcAa7k9TqMIIV6p1Wp48MEH1WLhgw8+iG984xt12125cgXbtm1DNpsFAHzqU5/CL/3SL9nu853vfKcqX3PnnXfi4YcfbtPZE0LWAl77GcZnCCFeOHr0KA4fPoxCoYCf+7mfw4MPPohf+IVfANC47+B4hhDiheX0MxzPEEIIWS72BeoJIdc1w8PDdQIpQghpFffeey/e8573eCpD9ba3vQ233Xab+vkrX/mK7XZf+tKXlECqq6sLH/nIRxz3+du//dtIp9MAgDNnzjjukxCydmlHP0MIIUvF5/OpgD8APPPMM7bbffazn1ULirt27cL73vc+x31+/OMfV26ZjzzyiOM+CSHXB177GUIIaUStVsN73/teFAoF9PT04I/+6I+a+jzHM4SQRiy3nyGEEEKWC0VShBBCCOlo7r77bvVvp8ygL37xi+rfP/3TP414PO64v3g8jne84x3q5y984QvLPkdCyNrGSz9DCCHLYWBgQP17fn7edht9PPOe97zHtfTnpk2b8MADD6ifOZ4hhHjpZwghpBH/63/9L/zwhz8EAPzBH/wBBgcHm/o8xzOEkEYst58hhBBClgtFUoQQQgjpaPSAWqVSsd3mO9/5jvr3fffd13Cf999/v/q3lKQghFy/eOlnCCFkObz00kvq31u2bKn7ez6fx6OPPqp+5niGENIsjfoZQghpxLlz5/ChD30IAPCa17wGv/iLv9jU5zmeIYQ0Yrn9DCGEENIKgqt9AoSQ64tyuYxvfOMbePLJJzExMYFoNIr+/n7ccsstuO222xCJRFb7FAkhHcYLL7yg/r1x48a6v8/OzmJ8fFz9fNNNNzXcp77NhQsXMDc3p0rwEUKuPxr1M3Z873vfw+OPP47Lly8jEAigv78fhw4dwl133YVEItGuUyWErEEuXryIT3ziE+rnt7/97XXbHDt2DNVqFcCicPPGG29suF99PPPyyy+34EwJIWsVL/2MCeMzhBCT97///Zifn0c4HMaf//mfu7pA2cHxDCGkEcvtZ0w4niGEELIUKJIihKwoFy5cwI/8yI/Y/q2npwfvf//78aEPfQjJZHKFz4wQ0omcPXvWkkn44IMP1m1z7Ngxy8+bNm1quF9zm2PHjuHWW29d4lkSQtYyXvoZO+69917b38fjcfziL/4iPvKRj9AynpDrmFwuh9OnT+OrX/0qPv7xj+PKlSsAgD179qjMaR19PDM4OIhoNNrwGPp4ZmpqClevXrWU2yKErG+a7WdMGJ8hhOj8/d//Pb785S8DAH7jN34De/bsaXofHM8QQtxoRT9jwvEMIYSQpcBye4SQjmF6ehq/93u/h1tuuQWvvPLKap8OIaQD+LVf+zVV+mrTpk14y1veUrfN5OSk+nc6nUYsFmu433g8jlQqpX6emppqwdkSQtYiXvqZZsjlcvjkJz+Jw4cPW0pNEELWNz/4wQ/g8/nUf4lEAvv27cN//a//VQkX3vjGN+Lhhx+2jEEEfTwzNDTk6ZjDw8OWnzmeIWR9s9x+phkYnyHk+mJychIf+MAHAAC7du3Cb/3Wby15PwLHM4QQnVb1M83A8QwhhBAnKJIihKwIqVQK73nPe/D3f//3OHbsGDKZDAqFAs6dO4f/83/+j8W14dixY3jDG96Aq1evruIZE0JWm89+9rP4f//v/6mfP/axj9laJGcyGfVvLwIpu231fRBCrh+89jNCJBLBO97xDnzmM5/Biy++iLm5ORSLRVy6dAlf/vKX8fa3v11ZxY+Pj+NNb3oTA3GEEPT09OBzn/scvvKVr6C7u9t2m6WMZ8ztOJ4h5PrFSz8jMD5DCDH51V/9VfWcf+pTn1pyeSqOZwghTrSqnxE4niGEELIcWG6PENJ2RkZGcPHiRVtL0w0bNuDtb3873v72t+Mv/uIv8Mu//Muo1Wo4deoUPvzhD+Mv//IvV+GMCSGrzZNPPolf/uVfVj//zM/8DH72Z3/Wdtt8Pq/+HQ6HPR9Dn4wvLCws4SwJIWuZZvoZ4cKFC+jr66v7/dDQEN70pjfhTW96E7785S/jp37qp5DP5zE1NYX3v//9+OY3v9ny8yeEdBajo6P4lV/5FQBArVbD/Pw8jh07hqeffhrT09P4mZ/5GfzFX/wFPvWpT2HXrl1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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# Prepare data for plotting\n", + "data = df_over_f_traces.data[0:3000, 0]\n", + "timestamps = df_over_f_traces.get_timestamps()[0:3000]\n", + "\n", + "control_signal = nwbfile.processing[\"ophys\"][\"DfOverFFiberPhotometryResponseSeriesIsosbestic\"]\n", + "control_data = control_signal.data[0:3000, 0]\n", + "\n", + "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=(8, 3), dpi=300, sharex=True)\n", + "\n", + "# Plot data\n", + "ax[0].plot(timestamps, data, color=\"green\", linewidth=0.5)\n", + "\n", + "# Plot control data with offset\n", + "ax[1].plot(timestamps, control_data, color=\"grey\", linewidth=0.1)\n", + "\n", + "ax[0].spines['top'].set_visible(False)\n", + "ax[0].spines['right'].set_visible(False)\n", + "ax[0].spines['bottom'].set_visible(False)\n", + "ax[1].spines['top'].set_visible(False)\n", + "ax[1].spines['right'].set_visible(False)\n", + "\n", + "ax[0].legend([\"∆F/F Fiber 1\"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 8})\n", + "ax[1].legend([\"Isosbestic control\"], frameon=False, bbox_to_anchor=(.96, 1), loc='upper left', prop={'size': 8})\n", + "ax[1].tick_params(axis='y', labelsize=8)\n", + "ax[0].tick_params(axis='y', labelsize=8)\n", + "\n", + "\n", + "plt.xlabel('Time (s)', fontsize=8)\n", + "plt.tick_params(axis='x', labelsize=8)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "83ca71d9-3000-4165-a2ed-c7ed62c4b9ad", + "metadata": {}, + "source": [ + "# Access processed behavior \n", + "\n", + "This section demonstrates how to access the processed behavior data in the NWBfile.\n", + "\n", + "The processed behavior data (veloctity, acceleration) is stored in \"processing/behavior\" which can be accessed as `nwbfile.processing[\"behavior\"]`. Within this processing module we can access the velocity from the rotary encoder as `nwbfile.processing[\"behavior\"][\"Velocity\"]`." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "74da1ae6-fa61-4a32-aedd-cc8bcaaeafe0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + "

Velocity (TimeSeries)

starting_time: 13.91
rate: 100.0
resolution: -1.0
comments: no comments
description: The velocity from rotary encoder converted to m/s.
conversion: 1.0
offset: 0.0
unit: m/s
data
starting_time_unit: seconds
" + ], + "text/plain": [ + "Velocity pynwb.base.TimeSeries at 0x13709170128\n", + "Fields:\n", + " comments: no comments\n", + " conversion: 1.0\n", + " data: \n", + " description: The velocity from rotary encoder converted to m/s.\n", + " offset: 0.0\n", + " rate: 100.0\n", + " resolution: -1.0\n", + " starting_time: 13.91\n", + " starting_time_unit: seconds\n", + " unit: m/s" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nwbfile.processing[\"behavior\"][\"Velocity\"]" + ] + }, + { + "cell_type": "markdown", + "id": "e4581107-b277-4974-8a35-4c4d08800ee9", + "metadata": {}, + "source": [ + "## Access derived events\n", + "\n", + "### Wheel events\n", + "\n", + "The derived events from the wheel (accelerations, decelerations) are also stored in an `EventsTable` object using [`ndx-events`](https://github.com/rly/ndx-events) and can be accessed as `nwbfile.processing[\"behavior\"][\"WheelEvents\"]`. The id and the description of the events can be accessed as `nwbfile.processing[\"behavior\"][\"WheelEventTypes\"]`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "5cab504e-456a-4d70-b57b-b3db138d24b7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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timestampevent_typeevent_nameevent_type_description
013.950Acceleration onsetThe times of the Acceleration onset event.
116.930Acceleration onsetThe times of the Acceleration onset event.
221.870Acceleration onsetThe times of the Acceleration onset event.
327.461Deceleration onsetThe times of the Deceleration onset event.
427.830Acceleration onsetThe times of the Acceleration onset event.
\n", + "
" + ], + "text/plain": [ + " timestamp event_type event_name \\\n", + "0 13.95 0 Acceleration onset \n", + "1 16.93 0 Acceleration onset \n", + "2 21.87 0 Acceleration onset \n", + "3 27.46 1 Deceleration onset \n", + "4 27.83 0 Acceleration onset \n", + "\n", + " event_type_description \n", + "0 The times of the Acceleration onset event. \n", + "1 The times of the Acceleration onset event. \n", + "2 The times of the Acceleration onset event. \n", + "3 The times of the Deceleration onset event. \n", + "4 The times of the Acceleration onset event. " + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "wheel_events = pd.merge(\n", + " left=nwbfile.processing[\"behavior\"][\"WheelEvents\"][:],\n", + " right=nwbfile.processing[\"behavior\"][\"WheelEventTypes\"][:],\n", + " left_on=\"event_type\",\n", + " right_on=\"id\",\n", + ")\n", + "wheel_events.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "0968a146-bbe6-4b3f-8b75-00bca114eb94", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# Prepare data for plotting\n", + "data = df_over_f_traces.data[:3000, 0]\n", + "timestamps = df_over_f_traces.get_timestamps()[:3000]\n", + "\n", + "velocity_data = nwbfile.processing[\"behavior\"][\"Velocity\"].data[:3000]\n", + "\n", + "# Add events during selected time\n", + "accelerations = wheel_events[wheel_events[\"event_type\"] == 0]\n", + "accelerations = accelerations[accelerations[\"timestamp\"] <= 45][\"timestamp\"]\n", + "\n", + "decelerations = wheel_events[wheel_events[\"event_type\"] == 1]\n", + "decelerations = decelerations[decelerations[\"timestamp\"] <= 45][\"timestamp\"]\n", + "\n", + "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 2), dpi=300, sharex=True)\n", + "\n", + "# Plot the main data\n", + "data_handle, = ax.plot(timestamps, data, color=\"green\", linewidth=0.5, label=\"∆F/F from SNc\")\n", + "\n", + "# Add vertical lines for events\n", + "for time in accelerations:\n", + " ax.axvline(time, color='grey', linewidth=0.1, linestyle=\"--\")\n", + "for time in decelerations:\n", + " ax.axvline(time, color='grey', linewidth=0.1, linestyle=\"--\")\n", + "\n", + "# Add scatter for acceleration and deceleration\n", + "arrowhead_size = 6 # Adjust this value to change the size of the arrowheads\n", + "accel_handle = ax.scatter(accelerations, [1.05] * len(accelerations), color='grey', marker='^', s=arrowhead_size, label='▲ Acceleration')\n", + "decel_handle = ax.scatter(decelerations, [1.05] * len(decelerations), marker='v', s=arrowhead_size, facecolor='none', edgecolor='grey', label='▽ Deceleration')\n", + "\n", + "# Plot the velocity data on the background\n", + "velocity_handle, = ax.plot(timestamps, velocity_data, color=\"black\", linewidth=0.1, zorder=1, label=\"Velocity\")\n", + "\n", + "# Hide top and right spines\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "\n", + "# Add legends\n", + "handles = [data_handle, accel_handle, decel_handle, velocity_handle]\n", + "labels = [\"∆F/F from SNc\", \"Acceleration\", \"Deceleration\", \"Velocity\"]\n", + "ax.legend(handles, labels, frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 8})\n", + "\n", + "# Adjust tick parameters\n", + "ax.tick_params(axis='y', labelsize=8)\n", + "\n", + "plt.xlabel('Time (s)', fontsize=8)\n", + "plt.tick_params(axis='x', labelsize=8)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "dac167c3-ccdb-4541-b1cd-473ecbb02595", + "metadata": {}, + "source": [ + "### Stimuli events\n", + "\n", + "The times when the mouse was moving and the reward, air puff, light, and licking event times are added to `nwbfile.processing[\"behavior\"][\"Events\"]`" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "a6b9ec71-90e9-41b4-be64-2759119ae4ec", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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start_timestop_timeevent_typetags
id
013.91201.82MovOnOff[]
128.5928.67Reward[long]
228.8532.24Licking[]
332.4232.52Licking[]
432.5532.66Licking[]
\n", + "
" + ], + "text/plain": [ + " start_time stop_time event_type tags\n", + "id \n", + "0 13.91 201.82 MovOnOff []\n", + "1 28.59 28.67 Reward [long]\n", + "2 28.85 32.24 Licking []\n", + "3 32.42 32.52 Licking []\n", + "4 32.55 32.66 Licking []" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "events = nwbfile.processing[\"behavior\"][\"Events\"][:]\n", + "events.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "824bb3d2-be5e-42f0-8cf3-d61ede931cb4", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "import matplotlib.lines as mlines\n", + "\n", + "# Prepare data for plotting\n", + "data = df_over_f_traces.data[3000:5000, 0]\n", + "timestamps = df_over_f_traces.get_timestamps()[3000:5000]\n", + "\n", + "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 2), dpi=300, sharex=True)\n", + "\n", + "# Plot the main data\n", + "ax.plot(timestamps, data, color=\"green\", linewidth=0.5)\n", + "\n", + "licking_events = events[events[\"event_type\"] == \"Licking\"]\n", + "licking_events = licking_events[(licking_events[\"start_time\"] >= timestamps[0]) & (licking_events[\"stop_time\"] < timestamps[-1])]\n", + "\n", + "airpuff_events = events[events[\"event_type\"] == \"AirPuff\"]\n", + "airpuff_events = airpuff_events[(airpuff_events[\"start_time\"] >= timestamps[0]) & (airpuff_events[\"stop_time\"] < timestamps[-1])]\n", + "\n", + "for ind, row in licking_events.iterrows():\n", + " ax.fill_between(timestamps, max(data), where=(timestamps >= row[\"start_time\"]) & (timestamps <= row[\"stop_time\"]), color='blue', edgecolor='none', alpha=0.1)\n", + "\n", + "for ind, row in airpuff_events.iterrows():\n", + " ax.fill_between(timestamps, max(data), where=(timestamps >= row[\"start_time\"]) & (timestamps <= row[\"stop_time\"]), color='red', edgecolor='none', alpha=0.1)\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "\n", + "# Create proxy lines for legend entries with corresponding colors and transparency\n", + "green_line = mlines.Line2D([], [], color='green', label='∆F/F from SNc', alpha=0.5)\n", + "blue_line = mlines.Line2D([], [], color='blue', label='Licking', alpha=0.1)\n", + "red_line = mlines.Line2D([], [], color='red', label='AirPuff', alpha=0.1)\n", + "\n", + "# Set legends with proxy lines\n", + "ax.legend(handles=[green_line, blue_line, red_line], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 8})\n", + "\n", + "ax.tick_params(axis='y', labelsize=8)\n", + "\n", + "plt.xlabel('Time (s)', fontsize=8)\n", + "plt.tick_params(axis='x', labelsize=8)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "04025ef6-d07b-4d05-84a0-b311d506b5f8", + "metadata": {}, + "source": [ + "### Fluorescence peaks\n", + "\n", + "The onset times of large fluorescence peaks are also stored in an `EventsTable` object using [`ndx-events`](https://github.com/rly/ndx-events) and can be accessed as `nwbfile.analysis[\"PeakFluorescenceEvents\"]`. The id and the description of the events can be accessed as `nwbfile.analysis[\"PeakFluorescenceEventTypes\"]`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "17f05c68-a165-4ef8-a42e-0e69e8e486d6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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timestampevent_typepeak_fluorescenceevent_nameevent_type_description
11011683.6400.099074peaksGLarge transient peaks for Fiber 1 fluorescence
11021685.6700.058068peaksGLarge transient peaks for Fiber 1 fluorescence
11031685.6710.058068peaksGRunLarge transient peaks occurring during running...
11041689.8600.113421peaksGLarge transient peaks for Fiber 1 fluorescence
11051689.8610.113421peaksGRunLarge transient peaks occurring during running...
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" + ], + "text/plain": [ + " timestamp event_type peak_fluorescence event_name \\\n", + "1101 1683.64 0 0.099074 peaksG \n", + "1102 1685.67 0 0.058068 peaksG \n", + "1103 1685.67 1 0.058068 peaksGRun \n", + "1104 1689.86 0 0.113421 peaksG \n", + "1105 1689.86 1 0.113421 peaksGRun \n", + "\n", + " event_type_description \n", + "1101 Large transient peaks for Fiber 1 fluorescence \n", + "1102 Large transient peaks for Fiber 1 fluorescence \n", + "1103 Large transient peaks occurring during running... \n", + "1104 Large transient peaks for Fiber 1 fluorescence \n", + "1105 Large transient peaks occurring during running... " + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "peak_events = pd.merge(\n", + " left=nwbfile.analysis[\"PeakFluorescenceEvents\"][:],\n", + " right=nwbfile.analysis[\"PeakFluorescenceEventTypes\"][:],\n", + " left_on=\"event_type\",\n", + " right_on=\"id\",\n", + ")\n", + "peak_events.tail()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "89ce24cf-b9cb-48b0-9ae3-8c53d9d8b260", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "from matplotlib import pyplot as plt\n", + "\n", + "# Prepare data for plotting\n", + "data = df_over_f_traces.data[:3000, 0]\n", + "timestamps = df_over_f_traces.get_timestamps()[:3000]\n", + "\n", + "# Add events during selected time\n", + "peak_event_times = peak_events[peak_events[\"event_type\"] == 0]\n", + "peak_event_times = peak_event_times[peak_event_times[\"timestamp\"] <= 45][\"timestamp\"]\n", + "\n", + "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(6, 2), dpi=300, sharex=True)\n", + "\n", + "# Plot the main data\n", + "data_handle, = ax.plot(timestamps, data, color=\"green\", linewidth=0.5, label=\"∆F/F from SNc\")\n", + "\n", + "# Add vertical lines for events\n", + "for time in peak_event_times:\n", + " ax.axvline(time, color='orange', linewidth=0.1, linestyle=\"--\")\n", + "\n", + "# Add scatter for peak events\n", + "arrowhead_size = 6 # Adjust this value to change the size of the arrowheads\n", + "peak_handle = ax.scatter(peak_event_times, [1.05] * len(peak_event_times), color='orange', marker='*', s=arrowhead_size, label='Peak fluorescence')\n", + "\n", + "# Hide top and right spines\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "\n", + "# Add legends\n", + "handles = [data_handle, peak_handle]\n", + "labels = [\"∆F/F from SNc\", \"Peak fluorescence\"]\n", + "ax.legend(handles, labels, frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 6})\n", + "\n", + "# Adjust tick parameters\n", + "ax.tick_params(axis='y', labelsize=6)\n", + "\n", + "plt.xlabel('Time (s)', fontsize=6)\n", + "plt.tick_params(axis='x', labelsize=6)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "310cb6e8-cc46-4e35-9284-acaa14ec9797", + "metadata": {}, + "source": [ + "# View NWB \n", + "\n", + "This section demonstrates how to use [Neurosift](https://github.com/flatironinstitute/neurosift) to interactively visualize the data in the NWBfile.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "dc444b88-d2bd-4168-8db1-18ca12937b57", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import IFrame\n", + "\n", + "url = \"https://neurosift.app/?p=/nwb&url=https://api.dandiarchive.org/api/assets/9994f42b-fdbb-4938-a3a3-6add744bf169/download/&dandisetId=001038&dandisetVersion=draft&tab=neurodata-items:neurodata-item:/processing/ophys/DfOverFFiberPhotometryResponseSeries|FiberPhotometryResponseSeries@neurodata-item:/processing/ophys/DfOverFFiberPhotometryResponseSeriesIsosbestic|FiberPhotometryResponseSeries@neurodata-item:/processing/behavior/Velocity|TimeSeries\"\n", + "IFrame(url, width=1200, height=1000)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/001038/DombeckLab/README.md b/001038/DombeckLab/README.md new file mode 100644 index 0000000..dec6e94 --- /dev/null +++ b/001038/DombeckLab/README.md @@ -0,0 +1,22 @@ +# Unique functional responses differentially map onto genetic subtypes of dopamine neurons tutorial + +This example notebook demonstrates how to access the dataset published at [DANDI:001038](https://dandiarchive.org/dandiset/001038/draft). + +This dataset contains fiber photometry recordings from head-fixed mice running on a treadmill while receiving rewards +and aversive air puffs in order to analyze differences or similarities in functional responses of different subtypes of +striatonigral dopamine neurons. + +## Installing the dependencies + +```bash +git clone https://github.com/dandi/example-notebooks +cd example-notebooks/001038/DombeckLab +conda env create --file environment.yml +conda activate dombecklab_001038_demo +``` + +## Running the notebook + +```bash +jupyter notebook 001038_demo.ipynb +``` diff --git a/001038/DombeckLab/environment.yml b/001038/DombeckLab/environment.yml new file mode 100644 index 0000000..81f1da6 --- /dev/null +++ b/001038/DombeckLab/environment.yml @@ -0,0 +1,13 @@ +name: dombecklab_001038_demo +channels: + - conda-forge +dependencies: + - python==3.11 + - ipywidgets + - pip + - pip: + - dandi + - jupyter + - matplotlib + - pynwb + - remfile From ca2e099059d8e7c1156b9f063fe74fd34d8a5987 Mon Sep 17 00:00:00 2001 From: weiglszonja Date: Sun, 9 Jun 2024 20:42:47 +0200 Subject: [PATCH 2/3] typo --- 001038/DombeckLab/001038_demo.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/001038/DombeckLab/001038_demo.ipynb b/001038/DombeckLab/001038_demo.ipynb index 911cb5c..9b30e41 100644 --- a/001038/DombeckLab/001038_demo.ipynb +++ b/001038/DombeckLab/001038_demo.ipynb @@ -1369,7 +1369,7 @@ "id": "9636c8e1-123a-47f3-8d2e-517d6e4b3ff1", "metadata": {}, "source": [ - "The metadata on the optical fiber used to record the GCaMP fluorescence is added to `nwbfile.devices` and can be acessed as `nwbfile.devices[\"Fiber1\"]` or can be accessed from the referenced optical fiber in the `fiber_photometry_table_region` of the `FiberPhotometryResponseSeries`." + "The metadata on the optical fiber used to record the GCaMP fluorescence is added to `nwbfile.devices` and can be accessed as `nwbfile.devices[\"Fiber1\"]` or can be accessed from the referenced optical fiber in the `fiber_photometry_table_region` of the `FiberPhotometryResponseSeries`." ] }, { From ccea0aa32df4f020975f236e8b03aae45dbafae8 Mon Sep 17 00:00:00 2001 From: weiglszonja Date: Mon, 17 Jun 2024 12:08:58 +0200 Subject: [PATCH 3/3] update notebook --- 001038/DombeckLab/001038_demo.ipynb | 305 +++++++--------------------- 1 file changed, 74 insertions(+), 231 deletions(-) diff --git a/001038/DombeckLab/001038_demo.ipynb b/001038/DombeckLab/001038_demo.ipynb index 9b30e41..a37c7af 100644 --- a/001038/DombeckLab/001038_demo.ipynb +++ b/001038/DombeckLab/001038_demo.ipynb @@ -43,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "id": "e83eb9d5-98ec-4e26-8b92-c900b8be2a5d", "metadata": {}, "outputs": [], @@ -102,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 3, "id": "04afe225-06d3-4640-a4c9-9b8994be8a74", "metadata": {}, "outputs": [ @@ -148,7 +148,7 @@ "

subject (Subject)

age: P8W/P16W
age__reference: birth
genotype: Vglut2-IRES-Cre/Th-Flpo (RRID, IMSR_JAX:016963)
sex: F
species: Mus musculus
subject_id: VGlut-A997
strain: C57BL6
" ], "text/plain": [ - "subject pynwb.file.Subject at 0x13768945808\n", + "subject pynwb.file.Subject at 0x6075774032\n", "Fields:\n", " age: P8W/P16W\n", " age__reference: birth\n", @@ -159,7 +159,7 @@ " subject_id: VGlut-A997" ] }, - "execution_count": 63, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -184,13 +184,18 @@ "\n", "## Picoscope signals\n", "\n", - "The raw fluorescence traces and the raw velocity from the rotary encoder are stored in a [pynwb.base.TimeSeries](https://pynwb.readthedocs.io/en/stable/pynwb.base.html#pynwb.base.TimeSeries) object which is added to `nwbfile.acquisition`. The traces collected at 4000 Hz from the Picoscope can be accessed as `nwbfile.acquisition[\"Fluorescence\"]` for fluorescence from the optical fiber(s) and `nwbfile.acquisition[\"Velocity\"]` for velocity.\n", + "\n", + "The signals collected at 4000 Hz from the PicoScope acquisition system are added to `nwbfile.acquisition` and are stored in [pynwb.base.TimeSeries](https://pynwb.readthedocs.io/en/stable/pynwb.base.html#pynwb.base.TimeSeries) objects. These signals include the fluorescence traces from one or two optical fibers, velocity and may additionally include the stimulus signals (light, air puff, reward delivery). \n", + "\n", + "The fluorescence traces from the optical fiber(s) can be accessed as `nwbfile.acquisition[\"Fluorescence\"]`. \n", + "\n", + "The velocity from the rotary encoder can be accessed as `nwbfile.acquisition[\"Velocity\"]`.\n", "\n" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 6, "id": "0098f9ca-c480-4f83-bc09-29017454f8ed", "metadata": {}, "outputs": [ @@ -236,7 +241,7 @@ "

Fluorescence (TimeSeries)

starting_time: 0.0
rate: 4000.2000543686745
resolution: -1.0
comments: no comments
description: The fluorescence traces from one or two optical fibers during 405 nm and 470 nm illumination collected at 4000 Hz by Picoscope.
conversion: 1.0
offset: 0.0
unit: Volts
data
starting_time_unit: seconds
" ], "text/plain": [ - "Fluorescence pynwb.base.TimeSeries at 0x13808870800\n", + "Fluorescence pynwb.base.TimeSeries at 0x6078648528\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", @@ -250,7 +255,7 @@ " unit: Volts" ] }, - "execution_count": 37, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -262,7 +267,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 5, "id": "62e5f94a-267b-45ea-a0c1-d7d2107a88b2", "metadata": {}, "outputs": [ @@ -308,7 +313,7 @@ "

Velocity (TimeSeries)

starting_time: 0.0
rate: 4000.2000543686745
resolution: -1.0
comments: no comments
description: Velocity from rotary encoder collected at 4000 Hz by Picoscope.
conversion: 1.0
offset: 0.0
unit: Volts
data
starting_time_unit: seconds
" ], "text/plain": [ - "Velocity pynwb.base.TimeSeries at 0x13769026512\n", + "Velocity pynwb.base.TimeSeries at 0x6079743120\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", @@ -322,7 +327,7 @@ " unit: Volts" ] }, - "execution_count": 38, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -332,183 +337,6 @@ "velocity_picoscope" ] }, - { - "cell_type": "markdown", - "id": "0808c10f-8a12-410d-a608-a234fbaf1a35", - "metadata": {}, - "source": [ - "## Picoscope binary signals\n", - "\n", - "The onset times of binary signals from the PicoScope are stored in an `EventsTable` object using [`ndx-events`](https://github.com/rly/ndx-events) and can be accessed as `nwbfile.acquisition[\"PicoScopeEvents\"]`. The id of events and the description of the events can be accessed as `nwbfile.acquisition[\"PicoScopeEventTypes\"]`." - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "de53462e-d8b7-4606-a81b-2bb07613f9e6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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timestampevent_typeevent_nameevent_type_description
00.0080000Light stimulus triggerThe onset times of the Light stimulus trigger ...
10.0080003Airpuff delivery triggerThe onset times of the Airpuff delivery trigge...
20.0090003Airpuff delivery triggerThe onset times of the Airpuff delivery trigge...
30.0095003Airpuff delivery triggerThe onset times of the Airpuff delivery trigge...
40.0132493Airpuff delivery triggerThe onset times of the Airpuff delivery trigge...
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" - ], - "text/plain": [ - " timestamp event_type event_name \\\n", - "0 0.008000 0 Light stimulus trigger \n", - "1 0.008000 3 Airpuff delivery trigger \n", - "2 0.009000 3 Airpuff delivery trigger \n", - "3 0.009500 3 Airpuff delivery trigger \n", - "4 0.013249 3 Airpuff delivery trigger \n", - "\n", - " event_type_description \n", - "0 The onset times of the Light stimulus trigger ... \n", - "1 The onset times of the Airpuff delivery trigge... \n", - "2 The onset times of the Airpuff delivery trigge... \n", - "3 The onset times of the Airpuff delivery trigge... \n", - "4 The onset times of the Airpuff delivery trigge... " - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "\n", - "events = pd.merge(\n", - " left=nwbfile.acquisition[\"PicoScopeEvents\"][:],\n", - " right=nwbfile.acquisition[\"PicoScopeEventTypes\"][:],\n", - " left_on=\"event_type\",\n", - " right_on=\"id\",\n", - ")\n", - "events.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "bd671e72-8b03-4b64-bad0-fb88725953c3", - "metadata": { - "jupyter": { - "source_hidden": true - } - }, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pandas as pd\n", - "from matplotlib import pyplot as plt\n", - "\n", - "# Prepare data for plotting\n", - "data = fluorescence_picoscope.data[10000:10500, 0]\n", - "timestamps = fluorescence_picoscope.get_timestamps()[10000:10500]\n", - "\n", - "velocity_data = velocity_picoscope.data[10000:10500]\n", - "\n", - "# Add events during selected time\n", - "airpuff_events = events[events[\"event_type\"] == 3]\n", - "event_times = airpuff_events[(airpuff_events[\"timestamp\"] > 2.5 ) & (airpuff_events[\"timestamp\"] <= 2.62)][\"timestamp\"]\n", - "\n", - "fig, ax = plt.subplots(nrows=2, ncols=1,figsize=(8, 3), dpi=300, sharex=True)\n", - "\n", - "ax[0].plot(timestamps, data, color=\"green\", linewidth=0.8)\n", - "[ax[0].axvline(time, color='lightblue', linewidth=0.5) for time in event_times]\n", - "\n", - "ax[1].plot(timestamps, velocity_data, color=\"black\", linewidth=0.5)\n", - "\n", - "ax[0].spines['top'].set_visible(False)\n", - "ax[0].spines['right'].set_visible(False)\n", - "ax[0].spines['bottom'].set_visible(False)\n", - "ax[1].spines['top'].set_visible(False)\n", - "ax[1].spines['right'].set_visible(False)\n", - "\n", - "ax[0].legend([\"Fiber 1\", \"Airpuff delivery trigger\"], frameon=False, bbox_to_anchor=(.95, 1), loc='upper left', prop={'size': 8})\n", - "ax[1].legend([\"Velocity\"], frameon=False, bbox_to_anchor=(.96, 1), loc='upper left', prop={'size': 8})\n", - "ax[1].tick_params(axis='y', labelsize=8)\n", - "ax[0].tick_params(axis='y', labelsize=8)\n", - "\n", - "plt.xlabel('Time (s)', fontsize=8)\n", - "plt.tick_params(axis='x', labelsize=8)\n", - "\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, { "cell_type": "markdown", "id": "8f34ad50-8f84-47b7-87a4-33d18066bb94", @@ -2150,7 +1978,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 26, "id": "6557281b-9bd0-40df-a084-766db3497133", "metadata": {}, "outputs": [ @@ -2236,11 +2064,11 @@ " \n", " 0\n", " SNc\n", - " GCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\n\n", - " Fiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\n\n", - " ExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\n\n", - " PhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\n\n", - " DichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n\n", + " GCaMP6f abc.Indicator at 0x6075775440\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\n\n", + " Fiber1 abc.OpticalFiber at 0x6077132944\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\n\n", + " ExcitationSource470 abc.ExcitationSource at 0x6077129680\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\n\n", + " PhotodetectorPMT abc.Photodetector at 0x6075773584\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\n\n", + " DichroicMirror abc.DichroicMirror at 0x6075763664\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n\n", " 3.6\n", " 1.041767\n", " 0.686421\n", @@ -2248,17 +2076,17 @@ " 18.898114\n", " 0.067393\n", " [nan, nan, nan]\n", - " EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\n\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n\n", + " EmissionFilter abc.BandOpticalFilter at 0x6076212176\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\n\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x6075511440\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n\n", " \n", " \n", " 1\n", " TS\n", - " GCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\n\n", - " Fiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\n\n", - " ExcitationSource470 abc.ExcitationSource at 0x13816578704\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\n\n", - " PhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\n\n", - " DichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n\n", + " GCaMP6f abc.Indicator at 0x6075775440\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\n\n", + " Fiber2 abc.OpticalFiber at 0x6076215120\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\n\n", + " ExcitationSource470 abc.ExcitationSource at 0x6077129680\\nFields:\\n description: Blue excitation light (470 nm LED, Thorlabs, M70F3) and violet excitation light (for the isosbestic control)\\nwere coupled into the optic fiber such that a power of 0.75 mW was delivered to the fiber tip.\\nThen, 470 nm and 405 nm excitation were alternated at 100 Hz using a waveform generator,\\neach filtered with a corresponding filter.\\n\\n excitation_wavelength_in_nm: 470.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M70F3\\n\n", + " PhotodetectorPMT abc.Photodetector at 0x6075773584\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\n\n", + " DichroicMirror abc.DichroicMirror at 0x6075763664\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n\n", " 1.0\n", " 1.050157\n", " 0.053596\n", @@ -2266,17 +2094,17 @@ " 0.000000\n", " 0.014802\n", " [3.0748749730962577, -0.58, 2.1599445426572172]\n", - " EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\n\n", - " OpticalFilter470 abc.BandOpticalFilter at 0x13707100624\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n\n", + " EmissionFilter abc.BandOpticalFilter at 0x6076212176\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\n\n", + " OpticalFilter470 abc.BandOpticalFilter at 0x6075511440\\nFields:\\n bandwidth_in_nm: 30.0\\n center_wavelength_in_nm: 472.0\\n description: The band-pass filter used to isolate the 470 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF02-472/30-25\\n\n", " \n", " \n", " 2\n", " SNc\n", - " GCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\n\n", - " Fiber1 abc.OpticalFiber at 0x13821382928\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\n\n", - " ExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\n\n", - " PhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\n\n", - " DichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n\n", + " GCaMP6f abc.Indicator at 0x6075775440\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\n\n", + " Fiber1 abc.OpticalFiber at 0x6077132944\\nFields:\\n core_diameter_in_um: 200.0\\n description: The optical fiber used to record the GCaMP fluorescence from the SNc brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\n\n", + " ExcitationSource405 abc.ExcitationSource at 0x6075514256\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\n\n", + " PhotodetectorPMT abc.Photodetector at 0x6075773584\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\n\n", + " DichroicMirror abc.DichroicMirror at 0x6075763664\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n\n", " 3.6\n", " 1.041767\n", " 0.686421\n", @@ -2284,17 +2112,17 @@ " 18.898114\n", " 0.067393\n", " [nan, nan, nan]\n", - " EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\n\n", - " OpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n\n", + " EmissionFilter abc.BandOpticalFilter at 0x6076212176\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\n\n", + " OpticalFilter405 abc.BandOpticalFilter at 0x6077296080\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n\n", " \n", " \n", " 3\n", " TS\n", - " GCaMP6f abc.Indicator at 0x13817080272\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\n\n", - " Fiber2 abc.OpticalFiber at 0x13790782352\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\n\n", - " ExcitationSource405 abc.ExcitationSource at 0x13817084688\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\n\n", - " PhotodetectorPMT abc.Photodetector at 0x13709448400\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\n\n", - " DichroicMirror abc.DichroicMirror at 0x13821590608\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n\n", + " GCaMP6f abc.Indicator at 0x6075775440\\nFields:\\n injection_coordinates_in_mm: [-3.25 1.55 -3.8 ]\\n injection_location: SNc\\n label: AAV-GCaMP6f\\n\n", + " Fiber2 abc.OpticalFiber at 0x6076215120\\nFields:\\n core_diameter_in_um: 200.0\\n description: The second optical fiber used to record the GCaMP fluorescence from the TS brain region.\\n manufacturer: Doric\\n model: MFP_200/230/900-0.57_1.5m_FC-FLT_LAF\\n numerical_aperture: 0.57\\n\n", + " ExcitationSource405 abc.ExcitationSource at 0x6075514256\\nFields:\\n description: Violet LED (405 nm, Thorlabs, M405FP1) for the isosbestic control.\\n excitation_wavelength_in_nm: 405.0\\n illumination_type: LED\\n manufacturer: Thorlabs\\n model: M405FP1\\n\n", + " PhotodetectorPMT abc.Photodetector at 0x6075773584\\nFields:\\n description: Hamamatsu GaAsP photomultiplier tube (signal amplified using Stanford Research Systems SR570 preamplifier).\\n detected_wavelength_in_nm: 520.0\\n detector_type: PMT\\n manufacturer: Hamamatsu Photonics\\n model: H10770PA-40\\n\n", + " DichroicMirror abc.DichroicMirror at 0x6075763664\\nFields:\\n cut_on_wavelength_in_nm: 505.0\\n description: The dichroic mirror used to separate green fluorescence from the excitation light.\\n manufacturer: Chroma Tech Corp\\n model: T505lpxr\\n transmission_band_in_nm: [505. 750.]\\n\n", " 1.0\n", " 1.050157\n", " 0.053596\n", @@ -2302,14 +2130,14 @@ " 0.000000\n", " 0.014802\n", " [3.0748749730962577, -0.58, 2.1599445426572172]\n", - " EmissionFilter abc.BandOpticalFilter at 0x13809080144\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\n\n", - " OpticalFilter405 abc.BandOpticalFilter at 0x13810195472\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n\n", + " EmissionFilter abc.BandOpticalFilter at 0x6076212176\\nFields:\\n bandwidth_in_nm: 50.0\\n center_wavelength_in_nm: 540.0\\n description: The band-pass filter used to further filter the green fluorescence after it was separated from the excitation light by a dichroic mirror.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-540/50-25\\n\n", + " OpticalFilter405 abc.BandOpticalFilter at 0x6077296080\\nFields:\\n bandwidth_in_nm: 15.0\\n center_wavelength_in_nm: 406.0\\n description: The band-pass filter used to isolate the 405 nm excitation light.\\n filter_type: Bandpass\\n manufacturer: Semrock\\n model: FF01-406/15-25\\n\n", " \n", " \n", "" ], "text/plain": [ - "DfOverFFiberPhotometryResponseSeries abc.FiberPhotometryResponseSeries at 0x13821826320\n", + "DfOverFFiberPhotometryResponseSeries abc.FiberPhotometryResponseSeries at 0x6079753872\n", "Fields:\n", " comments: no comments\n", " conversion: 1.0\n", @@ -2324,7 +2152,7 @@ " unit: n.a." ] }, - "execution_count": 50, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -2679,7 +2507,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 27, "id": "a6b9ec71-90e9-41b4-be64-2759119ae4ec", "metadata": {}, "outputs": [ @@ -2708,6 +2536,7 @@ " stop_time\n", " event_type\n", " tags\n", + " timeseries\n", " \n", " \n", " id\n", @@ -2715,6 +2544,7 @@ " \n", " \n", " \n", + " \n", " \n", " \n", " \n", @@ -2724,6 +2554,7 @@ " 201.82\n", " MovOnOff\n", " []\n", + " [(55642, 751678, Velocity pynwb.base.TimeSerie...\n", " \n", " \n", " 1\n", @@ -2731,6 +2562,7 @@ " 28.67\n", " Reward\n", " [long]\n", + " [(114365, 320, Reward pynwb.base.TimeSeries at...\n", " \n", " \n", " 2\n", @@ -2738,6 +2570,7 @@ " 32.24\n", " Licking\n", " []\n", + " [(115405, 13561, Licking pynwb.base.TimeSeries...\n", " \n", " \n", " 3\n", @@ -2745,6 +2578,7 @@ " 32.52\n", " Licking\n", " []\n", + " [(129686, 400, Licking pynwb.base.TimeSeries a...\n", " \n", " \n", " 4\n", @@ -2752,22 +2586,31 @@ " 32.66\n", " Licking\n", " []\n", + " [(130206, 440, Licking pynwb.base.TimeSeries a...\n", " \n", " \n", "\n", "" ], "text/plain": [ - " start_time stop_time event_type tags\n", - "id \n", - "0 13.91 201.82 MovOnOff []\n", - "1 28.59 28.67 Reward [long]\n", - "2 28.85 32.24 Licking []\n", - "3 32.42 32.52 Licking []\n", - "4 32.55 32.66 Licking []" + " start_time stop_time event_type tags \\\n", + "id \n", + "0 13.91 201.82 MovOnOff [] \n", + "1 28.59 28.67 Reward [long] \n", + "2 28.85 32.24 Licking [] \n", + "3 32.42 32.52 Licking [] \n", + "4 32.55 32.66 Licking [] \n", + "\n", + " timeseries \n", + "id \n", + "0 [(55642, 751678, Velocity pynwb.base.TimeSerie... \n", + "1 [(114365, 320, Reward pynwb.base.TimeSeries at... \n", + "2 [(115405, 13561, Licking pynwb.base.TimeSeries... \n", + "3 [(129686, 400, Licking pynwb.base.TimeSeries a... \n", + "4 [(130206, 440, Licking pynwb.base.TimeSeries a... " ] }, - "execution_count": 56, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -2779,7 +2622,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 28, "id": "824bb3d2-be5e-42f0-8cf3-d61ede931cb4", "metadata": { "jupyter": { @@ -2789,7 +2632,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -3091,7 +2934,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.5" } }, "nbformat": 4,