From d72552055b18d1040e6c91e1f7a66c4c6d206231 Mon Sep 17 00:00:00 2001 From: Sertan Senturk Date: Sun, 19 Jan 2020 21:38:16 +0000 Subject: [PATCH 1/9] Moved tomato to src/tomato --- .dockerignore | 2 +- Dockerfile | 4 ++-- MANIFEST.in | 14 +++++++------- Makefile | 12 ++++++++++-- setup.py | 12 +++++++++--- {tomato => src/tomato}/__init__.py | 0 {tomato => src/tomato}/analyzer.py | 0 {tomato => src/tomato}/audio/__init__.py | 0 {tomato => src/tomato}/audio/ahenk.py | 0 {tomato => src/tomato}/audio/audioanalyzer.py | 0 .../tomato}/audio/makamtonic/__init__.py | 0 .../tomato}/audio/makamtonic/inputparser.py | 0 {tomato => src/tomato}/audio/makamtonic/knn.py | 0 .../tomato}/audio/makamtonic/knnclassifier.py | 0 .../tomato}/audio/makamtonic/toniclastnote.py | 0 {tomato => src/tomato}/audio/notemodel.py | 0 {tomato => src/tomato}/audio/pitchdistribution.py | 0 {tomato => src/tomato}/audio/pitchfilter.py | 0 {tomato => src/tomato}/audio/predominantmelody.py | 0 {tomato => src/tomato}/audio/seyir.py | 0 {tomato => src/tomato}/bin/README.md | 0 {tomato => src/tomato}/bincaller.py | 0 {tomato => src/tomato}/config/bin.cfg | 0 {tomato => src/tomato}/config/lilypond.cfg | 0 {tomato => src/tomato}/config/mcr_path.cfg | 0 {tomato => src/tomato}/converter.py | 0 {tomato => src/tomato}/io.py | 0 {tomato => src/tomato}/joint/__init__.py | 0 {tomato => src/tomato}/joint/alignednotemodel.py | 0 .../tomato}/joint/alignedpitchfilter.py | 0 {tomato => src/tomato}/joint/completeanalyzer.py | 0 {tomato => src/tomato}/joint/jointanalyzer.py | 0 {tomato => src/tomato}/metadata/__init__.py | 0 .../tomato}/metadata/instrumentation.py | 0 {tomato => src/tomato}/metadata/musicbrainz.py | 0 {tomato => src/tomato}/metadata/recording.py | 0 {tomato => src/tomato}/metadata/symbtr.py | 0 {tomato => src/tomato}/metadata/work.py | 0 {tomato => src/tomato}/models/LICENSE.md | 0 .../models/makam_tonic_estimation/README.md | 0 .../pcd_to_pickle_model.ipynb | 0 .../training_model--pcd--7_5--15_0--dlfm2016.pkl | Bin .../models/phrase_segmentation/FLDmodel.mat | Bin .../tomato}/models/phrase_segmentation/README.md | 0 .../models/phrase_segmentation/boundStat.mat | Bin {tomato => src/tomato}/music_data/LICENSE.md | 0 {tomato => src/tomato}/music_data/ahenk.json | 0 {tomato => src/tomato}/music_data/form.json | 0 {tomato => src/tomato}/music_data/makam.json | 0 {tomato => src/tomato}/music_data/note.json | 0 .../tomato}/music_data/symbTr_mbid.json | 0 .../tomato}/music_data/symbtr_labels.json | 0 {tomato => src/tomato}/music_data/tonic.json | 0 {tomato => src/tomato}/music_data/usul.json | 0 {tomato => src/tomato}/plotter.py | 0 {tomato => src/tomato}/symbolic/__init__.py | 0 .../tomato}/symbolic/symbtr/__init__.py | 0 .../tomato}/symbolic/symbtr/converter/__init__.py | 0 .../converter/musicxml2lilypond/__init__.py | 0 .../converter/musicxml2lilypond/data/symbtr.db | Bin .../converter/musicxml2lilypond/musicxmlreader.py | 0 .../converter/musicxml2lilypond/scoreconverter.py | 0 .../symbtr/converter/symbtr2musicxml/__init__.py | 0 .../symbtr2musicxml/makams_usuls/Makamlar.xml | 0 .../makams_usuls/usuls_v3_ANSI.txt | 0 .../converter/symbtr2musicxml/symbtr2musicxml.py | 0 .../converter/symbtr2musicxml/symbtrnote.py | 0 .../tomato}/symbolic/symbtr/dataextractor.py | 0 .../tomato}/symbolic/symbtr/datamerger.py | 0 .../tomato}/symbolic/symbtr/extras/__init__.py | 0 .../tomato}/symbolic/symbtr/extras/txt.py | 0 {tomato => src/tomato}/symbolic/symbtr/graph.py | 0 {tomato => src/tomato}/symbolic/symbtr/offset.py | 0 .../tomato}/symbolic/symbtr/reader/__init__.py | 0 .../tomato}/symbolic/symbtr/reader/mu2.py | 0 .../tomato}/symbolic/symbtr/reader/musicxml.py | 0 .../tomato}/symbolic/symbtr/reader/symbtr.py | 0 .../tomato}/symbolic/symbtr/reader/txt.py | 0 .../tomato}/symbolic/symbtr/rhythmicfeature.py | 0 .../tomato}/symbolic/symbtr/scoreprocessor.py | 0 {tomato => src/tomato}/symbolic/symbtr/section.py | 0 {tomato => src/tomato}/symbolic/symbtr/segment.py | 0 .../tomato}/symbolic/symbtr/structurelabeler.py | 0 {tomato => src/tomato}/symbolic/symbtranalyzer.py | 0 .../tomato}/symbolic/symbtrconverter.py | 0 85 files changed, 29 insertions(+), 15 deletions(-) rename {tomato => src/tomato}/__init__.py (100%) rename {tomato => src/tomato}/analyzer.py (100%) rename {tomato => src/tomato}/audio/__init__.py (100%) rename {tomato => src/tomato}/audio/ahenk.py (100%) rename {tomato => src/tomato}/audio/audioanalyzer.py (100%) rename {tomato => src/tomato}/audio/makamtonic/__init__.py (100%) rename {tomato => src/tomato}/audio/makamtonic/inputparser.py (100%) rename {tomato => src/tomato}/audio/makamtonic/knn.py (100%) rename {tomato => src/tomato}/audio/makamtonic/knnclassifier.py (100%) rename {tomato => src/tomato}/audio/makamtonic/toniclastnote.py (100%) rename {tomato => src/tomato}/audio/notemodel.py (100%) rename {tomato => src/tomato}/audio/pitchdistribution.py (100%) rename {tomato => src/tomato}/audio/pitchfilter.py (100%) rename {tomato => src/tomato}/audio/predominantmelody.py (100%) rename {tomato => src/tomato}/audio/seyir.py (100%) rename {tomato => src/tomato}/bin/README.md (100%) rename {tomato => src/tomato}/bincaller.py (100%) rename {tomato => src/tomato}/config/bin.cfg (100%) rename {tomato => src/tomato}/config/lilypond.cfg (100%) rename {tomato => src/tomato}/config/mcr_path.cfg (100%) rename {tomato => src/tomato}/converter.py (100%) rename {tomato => src/tomato}/io.py (100%) rename {tomato => src/tomato}/joint/__init__.py (100%) rename {tomato => src/tomato}/joint/alignednotemodel.py (100%) rename {tomato => src/tomato}/joint/alignedpitchfilter.py (100%) rename {tomato => src/tomato}/joint/completeanalyzer.py (100%) rename {tomato => src/tomato}/joint/jointanalyzer.py (100%) rename {tomato => src/tomato}/metadata/__init__.py (100%) rename {tomato => src/tomato}/metadata/instrumentation.py (100%) rename {tomato => src/tomato}/metadata/musicbrainz.py (100%) rename {tomato => src/tomato}/metadata/recording.py (100%) rename {tomato => src/tomato}/metadata/symbtr.py (100%) rename {tomato => src/tomato}/metadata/work.py (100%) rename {tomato => src/tomato}/models/LICENSE.md (100%) rename {tomato => src/tomato}/models/makam_tonic_estimation/README.md (100%) rename {tomato => src/tomato}/models/makam_tonic_estimation/pcd_to_pickle_model.ipynb (100%) rename {tomato => src/tomato}/models/makam_tonic_estimation/training_model--pcd--7_5--15_0--dlfm2016.pkl (100%) rename {tomato => src/tomato}/models/phrase_segmentation/FLDmodel.mat (100%) rename {tomato => src/tomato}/models/phrase_segmentation/README.md (100%) rename {tomato => src/tomato}/models/phrase_segmentation/boundStat.mat (100%) rename {tomato => src/tomato}/music_data/LICENSE.md (100%) rename {tomato => src/tomato}/music_data/ahenk.json (100%) rename {tomato => src/tomato}/music_data/form.json (100%) rename {tomato => src/tomato}/music_data/makam.json (100%) rename {tomato => src/tomato}/music_data/note.json (100%) rename {tomato => src/tomato}/music_data/symbTr_mbid.json (100%) rename {tomato => src/tomato}/music_data/symbtr_labels.json (100%) rename {tomato => src/tomato}/music_data/tonic.json (100%) rename {tomato => src/tomato}/music_data/usul.json (100%) rename {tomato => src/tomato}/plotter.py (100%) rename {tomato => src/tomato}/symbolic/__init__.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/__init__.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/__init__.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/musicxml2lilypond/__init__.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/musicxml2lilypond/data/symbtr.db (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/musicxml2lilypond/musicxmlreader.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/musicxml2lilypond/scoreconverter.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/symbtr2musicxml/__init__.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/Makamlar.xml (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/usuls_v3_ANSI.txt (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/symbtr2musicxml/symbtr2musicxml.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/converter/symbtr2musicxml/symbtrnote.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/dataextractor.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/datamerger.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/extras/__init__.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/extras/txt.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/graph.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/offset.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/reader/__init__.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/reader/mu2.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/reader/musicxml.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/reader/symbtr.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/reader/txt.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/rhythmicfeature.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/scoreprocessor.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/section.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/segment.py (100%) rename {tomato => src/tomato}/symbolic/symbtr/structurelabeler.py (100%) rename {tomato => src/tomato}/symbolic/symbtranalyzer.py (100%) rename {tomato => src/tomato}/symbolic/symbtrconverter.py (100%) diff --git a/.dockerignore b/.dockerignore index a2820b6..c602598 100644 --- a/.dockerignore +++ b/.dockerignore @@ -4,7 +4,7 @@ # Allow files and directories !demos !tests -!tomato +!src !setup.py !requirements.txt !MANIFEST.in diff --git a/Dockerfile b/Dockerfile index db2ba6e..9c39e46 100644 --- a/Dockerfile +++ b/Dockerfile @@ -31,9 +31,9 @@ RUN python3 -m pip install --upgrade pip && \ # Install tomato COPY MANIFEST.in setup.py /code/ -COPY tomato /code/tomato +COPY src /code/src RUN cd /code && \ - python3 -m pip install . && \ + python3 -m pip install . -v && \ cd / && \ rm -rf code diff --git a/MANIFEST.in b/MANIFEST.in index 1797aac..c1c3f4c 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,9 +1,9 @@ -recursive-include tomato *.json -recursive-include tomato/bin * -recursive-include tomato/config *.cfg -recursive-include tomato/models * -recursive-include tomato/music_data * +recursive-include src/tomato *.json +recursive-include src/tomato/bin * +recursive-include src/tomato/config *.cfg +recursive-include src/tomato/models * +recursive-include src/tomato/music_data * # temporary to be removed later -recursive-include tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls * -recursive-include tomato/symbolic/symbtr/converter/musicxml2lilypond/data * +recursive-include src/tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls * +recursive-include src/tomato/symbolic/symbtr/converter/musicxml2lilypond/data * diff --git a/Makefile b/Makefile index 58672ed..401cf81 100644 --- a/Makefile +++ b/Makefile @@ -6,6 +6,8 @@ SHELL := /bin/bash install install-all install-all-editable install-mcr install-tomato \ docker-build test test-docker lint flake8 pylint isort +BIN_DOWN_DIR = src/tomato/bin + VENV_INTERP = python3.6 VENV_NAME ?= venv @@ -25,6 +27,7 @@ MCR_PATH = $(MCR_INST_PATH)v85 DOCKER_TAG = sertansenturk/tomato DOCKER_VER = latest DOCKER_FILE = Dockerfile +DOCKER_FLAG = HELP_PADDING = 28 bold := $(shell tput bold) @@ -81,6 +84,7 @@ help: @printf "$(pretty_command): build docker image\n" docker-build @printf "$(padded_str)DOCKER_TAG, docker image tag (default: $(DOCKER_TAG))\n" @printf "$(padded_str)DOCKER_VER, docker image version (default: $(DOCKER_VER))\n" + @printf "$(padded_str)DOCKER_FLAG, additional docker build flags (default: $(DOCKER_FLAG))\n" @printf "\n" @printf "======= Test and linting =======\n" @printf "$(pretty_command): run all test and linting automations using tox\n" test @@ -106,7 +110,10 @@ clean-pyc: find . -name '__pycache__' -exec rm -fr {} + clean-bin: - rm -rf tomato/bin/phraseSeg tomato/bin/extractTonicTempoTuning tomato/bin/alignAudioScore tomato/bin/MusikiToMusicXml + rm -rf $(BIN_DOWN_DIR)/phraseSeg \ + $(BIN_DOWN_DIR)/extractTonicTempoTuning \ + $(BIN_DOWN_DIR)/alignAudioScore \ + $(BIN_DOWN_DIR)/MusikiToMusicXml clean-build: ## remove build artifacts rm -rf build/ @@ -165,7 +172,8 @@ install-mcr: docker-build: docker build . \ -f $(DOCKER_FILE) \ - -t $(DOCKER_TAG):$(DOCKER_VER) + -t $(DOCKER_TAG):$(DOCKER_VER) \ + $(DOCKER_FLAG) test: tox diff --git a/setup.py b/setup.py index 09397ce..d66ae43 100644 --- a/setup.py +++ b/setup.py @@ -7,7 +7,8 @@ from setuptools import find_packages, setup -from tomato import __version__ +__version__ = "0.14.0.dev6" +TOMATO_DIR = "src" # Get the long description from the README file here = os.path.abspath(os.path.dirname(__file__)) @@ -27,7 +28,10 @@ def setup(cls): OSError: if the OS is not supported. """ bin_folder = os.path.join( - os.path.dirname(os.path.abspath(__file__)), "tomato", "bin" + os.path.dirname(os.path.abspath(__file__)), + TOMATO_DIR, + "tomato", + "bin" ) # find os @@ -36,6 +40,7 @@ def setup(cls): # read configuration file config_file = os.path.join( os.path.dirname(os.path.abspath(__file__)), + TOMATO_DIR, "tomato", "config", "bin.cfg", @@ -129,7 +134,8 @@ def _download_binary(fpath, bin_url, sys_os): "makam-music score music-information-retrieval " "computational-analysis" ), - packages=find_packages(exclude=["docs", "tests"]), + packages=find_packages(TOMATO_DIR), + package_dir={"": TOMATO_DIR}, include_package_data=True, python_requires=">=3.5,<3.8", install_requires=[ diff --git a/tomato/__init__.py b/src/tomato/__init__.py similarity index 100% rename from tomato/__init__.py rename to src/tomato/__init__.py diff --git a/tomato/analyzer.py b/src/tomato/analyzer.py similarity index 100% rename from tomato/analyzer.py rename to src/tomato/analyzer.py diff --git a/tomato/audio/__init__.py b/src/tomato/audio/__init__.py similarity index 100% rename from tomato/audio/__init__.py rename to src/tomato/audio/__init__.py diff --git a/tomato/audio/ahenk.py b/src/tomato/audio/ahenk.py similarity index 100% rename from tomato/audio/ahenk.py rename to src/tomato/audio/ahenk.py diff --git a/tomato/audio/audioanalyzer.py b/src/tomato/audio/audioanalyzer.py similarity index 100% rename from tomato/audio/audioanalyzer.py rename to src/tomato/audio/audioanalyzer.py diff --git a/tomato/audio/makamtonic/__init__.py b/src/tomato/audio/makamtonic/__init__.py similarity index 100% rename from tomato/audio/makamtonic/__init__.py rename to src/tomato/audio/makamtonic/__init__.py diff --git a/tomato/audio/makamtonic/inputparser.py b/src/tomato/audio/makamtonic/inputparser.py similarity index 100% rename from tomato/audio/makamtonic/inputparser.py rename to src/tomato/audio/makamtonic/inputparser.py diff --git a/tomato/audio/makamtonic/knn.py b/src/tomato/audio/makamtonic/knn.py similarity index 100% rename from tomato/audio/makamtonic/knn.py rename to src/tomato/audio/makamtonic/knn.py diff --git a/tomato/audio/makamtonic/knnclassifier.py b/src/tomato/audio/makamtonic/knnclassifier.py similarity index 100% rename from tomato/audio/makamtonic/knnclassifier.py rename to src/tomato/audio/makamtonic/knnclassifier.py diff --git a/tomato/audio/makamtonic/toniclastnote.py b/src/tomato/audio/makamtonic/toniclastnote.py similarity index 100% rename from tomato/audio/makamtonic/toniclastnote.py rename to src/tomato/audio/makamtonic/toniclastnote.py diff --git a/tomato/audio/notemodel.py b/src/tomato/audio/notemodel.py similarity index 100% rename from tomato/audio/notemodel.py rename to src/tomato/audio/notemodel.py diff --git a/tomato/audio/pitchdistribution.py b/src/tomato/audio/pitchdistribution.py similarity index 100% rename from tomato/audio/pitchdistribution.py rename to src/tomato/audio/pitchdistribution.py diff --git a/tomato/audio/pitchfilter.py b/src/tomato/audio/pitchfilter.py similarity index 100% rename from tomato/audio/pitchfilter.py rename to src/tomato/audio/pitchfilter.py diff --git a/tomato/audio/predominantmelody.py b/src/tomato/audio/predominantmelody.py similarity index 100% rename from tomato/audio/predominantmelody.py rename to src/tomato/audio/predominantmelody.py diff --git a/tomato/audio/seyir.py b/src/tomato/audio/seyir.py similarity index 100% rename from tomato/audio/seyir.py rename to src/tomato/audio/seyir.py diff --git a/tomato/bin/README.md b/src/tomato/bin/README.md similarity index 100% rename from tomato/bin/README.md rename to src/tomato/bin/README.md diff --git a/tomato/bincaller.py b/src/tomato/bincaller.py similarity index 100% rename from tomato/bincaller.py rename to src/tomato/bincaller.py diff --git a/tomato/config/bin.cfg b/src/tomato/config/bin.cfg similarity index 100% rename from tomato/config/bin.cfg rename to src/tomato/config/bin.cfg diff --git a/tomato/config/lilypond.cfg b/src/tomato/config/lilypond.cfg similarity index 100% rename from tomato/config/lilypond.cfg rename to src/tomato/config/lilypond.cfg diff --git a/tomato/config/mcr_path.cfg b/src/tomato/config/mcr_path.cfg similarity index 100% rename from tomato/config/mcr_path.cfg rename to src/tomato/config/mcr_path.cfg diff --git a/tomato/converter.py b/src/tomato/converter.py similarity index 100% rename from tomato/converter.py rename to src/tomato/converter.py diff --git a/tomato/io.py b/src/tomato/io.py similarity index 100% rename from tomato/io.py rename to src/tomato/io.py diff --git a/tomato/joint/__init__.py b/src/tomato/joint/__init__.py similarity index 100% rename from tomato/joint/__init__.py rename to src/tomato/joint/__init__.py diff --git a/tomato/joint/alignednotemodel.py b/src/tomato/joint/alignednotemodel.py similarity index 100% rename from tomato/joint/alignednotemodel.py rename to src/tomato/joint/alignednotemodel.py diff --git a/tomato/joint/alignedpitchfilter.py b/src/tomato/joint/alignedpitchfilter.py similarity index 100% rename from tomato/joint/alignedpitchfilter.py rename to src/tomato/joint/alignedpitchfilter.py diff --git a/tomato/joint/completeanalyzer.py b/src/tomato/joint/completeanalyzer.py similarity index 100% rename from tomato/joint/completeanalyzer.py rename to src/tomato/joint/completeanalyzer.py diff --git a/tomato/joint/jointanalyzer.py b/src/tomato/joint/jointanalyzer.py similarity index 100% rename from tomato/joint/jointanalyzer.py rename to src/tomato/joint/jointanalyzer.py diff --git a/tomato/metadata/__init__.py b/src/tomato/metadata/__init__.py similarity index 100% rename from tomato/metadata/__init__.py rename to src/tomato/metadata/__init__.py diff --git a/tomato/metadata/instrumentation.py b/src/tomato/metadata/instrumentation.py similarity index 100% rename from tomato/metadata/instrumentation.py rename to src/tomato/metadata/instrumentation.py diff --git a/tomato/metadata/musicbrainz.py b/src/tomato/metadata/musicbrainz.py similarity index 100% rename from tomato/metadata/musicbrainz.py rename to src/tomato/metadata/musicbrainz.py diff --git a/tomato/metadata/recording.py b/src/tomato/metadata/recording.py similarity index 100% rename from tomato/metadata/recording.py rename to src/tomato/metadata/recording.py diff --git a/tomato/metadata/symbtr.py b/src/tomato/metadata/symbtr.py similarity index 100% rename from tomato/metadata/symbtr.py rename to src/tomato/metadata/symbtr.py diff --git a/tomato/metadata/work.py b/src/tomato/metadata/work.py similarity index 100% rename from tomato/metadata/work.py rename to src/tomato/metadata/work.py diff --git a/tomato/models/LICENSE.md b/src/tomato/models/LICENSE.md similarity index 100% rename from tomato/models/LICENSE.md rename to src/tomato/models/LICENSE.md diff --git a/tomato/models/makam_tonic_estimation/README.md b/src/tomato/models/makam_tonic_estimation/README.md similarity index 100% rename from tomato/models/makam_tonic_estimation/README.md rename to src/tomato/models/makam_tonic_estimation/README.md diff --git a/tomato/models/makam_tonic_estimation/pcd_to_pickle_model.ipynb b/src/tomato/models/makam_tonic_estimation/pcd_to_pickle_model.ipynb similarity index 100% rename from tomato/models/makam_tonic_estimation/pcd_to_pickle_model.ipynb rename to src/tomato/models/makam_tonic_estimation/pcd_to_pickle_model.ipynb diff --git a/tomato/models/makam_tonic_estimation/training_model--pcd--7_5--15_0--dlfm2016.pkl b/src/tomato/models/makam_tonic_estimation/training_model--pcd--7_5--15_0--dlfm2016.pkl similarity index 100% rename from tomato/models/makam_tonic_estimation/training_model--pcd--7_5--15_0--dlfm2016.pkl rename to src/tomato/models/makam_tonic_estimation/training_model--pcd--7_5--15_0--dlfm2016.pkl diff --git a/tomato/models/phrase_segmentation/FLDmodel.mat b/src/tomato/models/phrase_segmentation/FLDmodel.mat similarity index 100% rename from tomato/models/phrase_segmentation/FLDmodel.mat rename to src/tomato/models/phrase_segmentation/FLDmodel.mat diff --git a/tomato/models/phrase_segmentation/README.md b/src/tomato/models/phrase_segmentation/README.md similarity index 100% rename from tomato/models/phrase_segmentation/README.md rename to src/tomato/models/phrase_segmentation/README.md diff --git a/tomato/models/phrase_segmentation/boundStat.mat b/src/tomato/models/phrase_segmentation/boundStat.mat similarity index 100% rename from tomato/models/phrase_segmentation/boundStat.mat rename to src/tomato/models/phrase_segmentation/boundStat.mat diff --git a/tomato/music_data/LICENSE.md b/src/tomato/music_data/LICENSE.md similarity index 100% rename from tomato/music_data/LICENSE.md rename to src/tomato/music_data/LICENSE.md diff --git a/tomato/music_data/ahenk.json b/src/tomato/music_data/ahenk.json similarity index 100% rename from tomato/music_data/ahenk.json rename to src/tomato/music_data/ahenk.json diff --git a/tomato/music_data/form.json b/src/tomato/music_data/form.json similarity index 100% rename from tomato/music_data/form.json rename to src/tomato/music_data/form.json diff --git a/tomato/music_data/makam.json b/src/tomato/music_data/makam.json similarity index 100% rename from tomato/music_data/makam.json rename to src/tomato/music_data/makam.json diff --git a/tomato/music_data/note.json b/src/tomato/music_data/note.json similarity index 100% rename from tomato/music_data/note.json rename to src/tomato/music_data/note.json diff --git a/tomato/music_data/symbTr_mbid.json b/src/tomato/music_data/symbTr_mbid.json similarity index 100% rename from tomato/music_data/symbTr_mbid.json rename to src/tomato/music_data/symbTr_mbid.json diff --git a/tomato/music_data/symbtr_labels.json b/src/tomato/music_data/symbtr_labels.json similarity index 100% rename from tomato/music_data/symbtr_labels.json rename to src/tomato/music_data/symbtr_labels.json diff --git a/tomato/music_data/tonic.json b/src/tomato/music_data/tonic.json similarity index 100% rename from tomato/music_data/tonic.json rename to src/tomato/music_data/tonic.json diff --git a/tomato/music_data/usul.json b/src/tomato/music_data/usul.json similarity index 100% rename from tomato/music_data/usul.json rename to src/tomato/music_data/usul.json diff --git a/tomato/plotter.py b/src/tomato/plotter.py similarity index 100% rename from tomato/plotter.py rename to src/tomato/plotter.py diff --git a/tomato/symbolic/__init__.py b/src/tomato/symbolic/__init__.py similarity index 100% rename from tomato/symbolic/__init__.py rename to src/tomato/symbolic/__init__.py diff --git a/tomato/symbolic/symbtr/__init__.py b/src/tomato/symbolic/symbtr/__init__.py similarity index 100% rename from tomato/symbolic/symbtr/__init__.py rename to src/tomato/symbolic/symbtr/__init__.py diff --git a/tomato/symbolic/symbtr/converter/__init__.py b/src/tomato/symbolic/symbtr/converter/__init__.py similarity index 100% rename from tomato/symbolic/symbtr/converter/__init__.py rename to src/tomato/symbolic/symbtr/converter/__init__.py diff --git a/tomato/symbolic/symbtr/converter/musicxml2lilypond/__init__.py b/src/tomato/symbolic/symbtr/converter/musicxml2lilypond/__init__.py similarity index 100% rename from tomato/symbolic/symbtr/converter/musicxml2lilypond/__init__.py rename to src/tomato/symbolic/symbtr/converter/musicxml2lilypond/__init__.py diff --git a/tomato/symbolic/symbtr/converter/musicxml2lilypond/data/symbtr.db b/src/tomato/symbolic/symbtr/converter/musicxml2lilypond/data/symbtr.db similarity index 100% rename from tomato/symbolic/symbtr/converter/musicxml2lilypond/data/symbtr.db rename to src/tomato/symbolic/symbtr/converter/musicxml2lilypond/data/symbtr.db diff --git a/tomato/symbolic/symbtr/converter/musicxml2lilypond/musicxmlreader.py b/src/tomato/symbolic/symbtr/converter/musicxml2lilypond/musicxmlreader.py similarity index 100% rename from tomato/symbolic/symbtr/converter/musicxml2lilypond/musicxmlreader.py rename to src/tomato/symbolic/symbtr/converter/musicxml2lilypond/musicxmlreader.py diff --git a/tomato/symbolic/symbtr/converter/musicxml2lilypond/scoreconverter.py b/src/tomato/symbolic/symbtr/converter/musicxml2lilypond/scoreconverter.py similarity index 100% rename from tomato/symbolic/symbtr/converter/musicxml2lilypond/scoreconverter.py rename to src/tomato/symbolic/symbtr/converter/musicxml2lilypond/scoreconverter.py diff --git a/tomato/symbolic/symbtr/converter/symbtr2musicxml/__init__.py b/src/tomato/symbolic/symbtr/converter/symbtr2musicxml/__init__.py similarity index 100% rename from tomato/symbolic/symbtr/converter/symbtr2musicxml/__init__.py rename to src/tomato/symbolic/symbtr/converter/symbtr2musicxml/__init__.py diff --git a/tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/Makamlar.xml b/src/tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/Makamlar.xml similarity index 100% rename from tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/Makamlar.xml rename to src/tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/Makamlar.xml diff --git a/tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/usuls_v3_ANSI.txt b/src/tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/usuls_v3_ANSI.txt similarity index 100% rename from tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/usuls_v3_ANSI.txt rename to src/tomato/symbolic/symbtr/converter/symbtr2musicxml/makams_usuls/usuls_v3_ANSI.txt diff --git a/tomato/symbolic/symbtr/converter/symbtr2musicxml/symbtr2musicxml.py b/src/tomato/symbolic/symbtr/converter/symbtr2musicxml/symbtr2musicxml.py similarity index 100% rename from tomato/symbolic/symbtr/converter/symbtr2musicxml/symbtr2musicxml.py rename to src/tomato/symbolic/symbtr/converter/symbtr2musicxml/symbtr2musicxml.py diff --git a/tomato/symbolic/symbtr/converter/symbtr2musicxml/symbtrnote.py b/src/tomato/symbolic/symbtr/converter/symbtr2musicxml/symbtrnote.py similarity index 100% rename from tomato/symbolic/symbtr/converter/symbtr2musicxml/symbtrnote.py rename to src/tomato/symbolic/symbtr/converter/symbtr2musicxml/symbtrnote.py diff --git a/tomato/symbolic/symbtr/dataextractor.py b/src/tomato/symbolic/symbtr/dataextractor.py similarity index 100% rename from tomato/symbolic/symbtr/dataextractor.py rename to src/tomato/symbolic/symbtr/dataextractor.py diff --git a/tomato/symbolic/symbtr/datamerger.py b/src/tomato/symbolic/symbtr/datamerger.py similarity index 100% rename from tomato/symbolic/symbtr/datamerger.py rename to src/tomato/symbolic/symbtr/datamerger.py diff --git a/tomato/symbolic/symbtr/extras/__init__.py b/src/tomato/symbolic/symbtr/extras/__init__.py similarity index 100% rename from tomato/symbolic/symbtr/extras/__init__.py rename to src/tomato/symbolic/symbtr/extras/__init__.py diff --git a/tomato/symbolic/symbtr/extras/txt.py b/src/tomato/symbolic/symbtr/extras/txt.py similarity index 100% rename from tomato/symbolic/symbtr/extras/txt.py rename to src/tomato/symbolic/symbtr/extras/txt.py diff --git a/tomato/symbolic/symbtr/graph.py b/src/tomato/symbolic/symbtr/graph.py similarity index 100% rename from tomato/symbolic/symbtr/graph.py rename to src/tomato/symbolic/symbtr/graph.py diff --git a/tomato/symbolic/symbtr/offset.py b/src/tomato/symbolic/symbtr/offset.py similarity index 100% rename from tomato/symbolic/symbtr/offset.py rename to src/tomato/symbolic/symbtr/offset.py diff --git a/tomato/symbolic/symbtr/reader/__init__.py b/src/tomato/symbolic/symbtr/reader/__init__.py similarity index 100% rename from tomato/symbolic/symbtr/reader/__init__.py rename to src/tomato/symbolic/symbtr/reader/__init__.py diff --git a/tomato/symbolic/symbtr/reader/mu2.py b/src/tomato/symbolic/symbtr/reader/mu2.py similarity index 100% rename from tomato/symbolic/symbtr/reader/mu2.py rename to src/tomato/symbolic/symbtr/reader/mu2.py diff --git a/tomato/symbolic/symbtr/reader/musicxml.py b/src/tomato/symbolic/symbtr/reader/musicxml.py similarity index 100% rename from tomato/symbolic/symbtr/reader/musicxml.py rename to src/tomato/symbolic/symbtr/reader/musicxml.py diff --git a/tomato/symbolic/symbtr/reader/symbtr.py b/src/tomato/symbolic/symbtr/reader/symbtr.py similarity index 100% rename from tomato/symbolic/symbtr/reader/symbtr.py rename to src/tomato/symbolic/symbtr/reader/symbtr.py diff --git a/tomato/symbolic/symbtr/reader/txt.py b/src/tomato/symbolic/symbtr/reader/txt.py similarity index 100% rename from tomato/symbolic/symbtr/reader/txt.py rename to src/tomato/symbolic/symbtr/reader/txt.py diff --git a/tomato/symbolic/symbtr/rhythmicfeature.py b/src/tomato/symbolic/symbtr/rhythmicfeature.py similarity index 100% rename from tomato/symbolic/symbtr/rhythmicfeature.py rename to src/tomato/symbolic/symbtr/rhythmicfeature.py diff --git a/tomato/symbolic/symbtr/scoreprocessor.py b/src/tomato/symbolic/symbtr/scoreprocessor.py similarity index 100% rename from tomato/symbolic/symbtr/scoreprocessor.py rename to src/tomato/symbolic/symbtr/scoreprocessor.py diff --git a/tomato/symbolic/symbtr/section.py b/src/tomato/symbolic/symbtr/section.py similarity index 100% rename from tomato/symbolic/symbtr/section.py rename to src/tomato/symbolic/symbtr/section.py diff --git a/tomato/symbolic/symbtr/segment.py b/src/tomato/symbolic/symbtr/segment.py similarity index 100% rename from tomato/symbolic/symbtr/segment.py rename to src/tomato/symbolic/symbtr/segment.py diff --git a/tomato/symbolic/symbtr/structurelabeler.py b/src/tomato/symbolic/symbtr/structurelabeler.py similarity index 100% rename from tomato/symbolic/symbtr/structurelabeler.py rename to src/tomato/symbolic/symbtr/structurelabeler.py diff --git a/tomato/symbolic/symbtranalyzer.py b/src/tomato/symbolic/symbtranalyzer.py similarity index 100% rename from tomato/symbolic/symbtranalyzer.py rename to src/tomato/symbolic/symbtranalyzer.py diff --git a/tomato/symbolic/symbtrconverter.py b/src/tomato/symbolic/symbtrconverter.py similarity index 100% rename from tomato/symbolic/symbtrconverter.py rename to src/tomato/symbolic/symbtrconverter.py From 66b2dd67d4a8c3cdcbe4a58abad3b09709ef6d10 Mon Sep 17 00:00:00 2001 From: Sertan Senturk Date: Sun, 19 Jan 2020 23:42:52 +0000 Subject: [PATCH 2/9] Added dev venv instructions --- .gitignore | 2 ++ Makefile | 62 ++++++++++++++++++++++++++++++++++---------- requirements.dev.txt | 5 ++++ 3 files changed, 56 insertions(+), 13 deletions(-) create mode 100644 requirements.dev.txt diff --git a/.gitignore b/.gitignore index d057932..4e32528 100644 --- a/.gitignore +++ b/.gitignore @@ -106,6 +106,8 @@ venv/ ENV/ env.bak/ venv.bak/ +dev-venv/ +venv-dev/ # mkdocs documentation /site diff --git a/Makefile b/Makefile index 401cf81..7df72ad 100644 --- a/Makefile +++ b/Makefile @@ -1,15 +1,19 @@ SHELL := /bin/bash .DEFAULT_GOAL := default .PHONY: \ - help default all-editable - clean clean-all clean-bin clean-build clean-pyc clean-test clean-$(VENV_NAME) purge \ - install install-all install-all-editable install-mcr install-tomato \ + help default dev all-editable \ + clean clean-all clean-bin clean-build clean-pyc clean-test \ + clean-$(VENV_NAME) clean-$(DEV_VENV_NAME) purge \ + install install-all install-all-editable \ + install-requirements install-dev-requirements \ + install-mcr install-tomato \ docker-build test test-docker lint flake8 pylint isort BIN_DOWN_DIR = src/tomato/bin VENV_INTERP = python3.6 VENV_NAME ?= venv +DEV_VENV_NAME ?= venv-dev PIP_INST_EXTRA = PIP_INST_DEV = development @@ -19,6 +23,9 @@ PIP_FLAG = PIP_INST_FLAG = PIP_INST_EDIT = -e +REQUIREMENTS_FILE = requirements.txt +DEV_REQUIREMENTS_FILE = requirements.dev.txt + MCR_DOWN_URL = http://www.mathworks.com/supportfiles/downloads/R2015a/deployment_files/R2015a/installers/glnxa64/MCR_R2015a_glnxa64_installer.zip MCR_DOWNLOAD_PATH = /tmp/mcr-install MCR_INST_PATH = /usr/local/MATLAB/MATLAB_Runtime/ @@ -38,22 +45,31 @@ pretty_command := $(bold)$(padded_str)$(sgr0) help: @printf "======= General ======\n" @printf "$(pretty_command): run \"default\" (see below)\n" - @printf "$(pretty_command): run \"clean-all\", \"$(VENV_NAME)\", and \"install\" sequentially\n" default - @printf "$(pretty_command): run \"clean-all\", \"$(VENV_NAME)\", and \"install-all-editable\" sequentially\n" all-editable + @printf "$(pretty_command): run \"clean-all\", \"$(VENV_NAME)\", and \"install\"\n" default + @printf "$(pretty_command): run \"clean-all\", \"$(DEV_VENV_NAME)\", and \"install-dev-requirements\"\n" dev + @printf "$(pretty_command): run \"clean-all\", \"$(VENV_NAME)\", and \"install-all-editable\"\n" all-editable @printf "\n" @printf "======= Cleanup ======\n" @printf "$(pretty_command): remove all build, test, coverage and python artifacts\n" clean - @printf "$(pretty_command): remove all (see: above) plus virtualenv, and tomato binaries\n" clean-all + @printf "$(pretty_command): \"clean\" (see: above) plus virtualenv, and tomato binaries\n" clean-all @printf "$(padded_str)VENV_NAME, virtualenv name (default: $(VENV_NAME))\n" @printf "$(pretty_command): remove tomato binaries\n" clean-bin @printf "$(pretty_command): remove build artifacts\n" clean-build @printf "$(pretty_command): remove python file artifacts\n" clean-pyc @printf "$(pretty_command): remove test artifacts\n" clean-test - @printf "$(pretty_command): remove python virtualenv folder\n" clean-$(VENV_NAME) + @printf "$(pretty_command): remove python virtualenv\n" clean-$(VENV_NAME) @printf "$(padded_str)VENV_NAME, virtualenv name (default: $(VENV_NAME))\n" - @printf "$(pretty_command): alias of \"clean-all\"\n" purge + @printf "$(pretty_command): remove python development virtualenv\n" clean-$(DEV_VENV_NAME) + @printf "$(padded_str)DEV_VENV_NAME, development virtualenv name (default: $(DEV_VENV_NAME))\n" + @printf "$(pretty_command): \"clean-all\" plus development virtualenv\n" purge @printf "\n" @printf "======= Setup =======\n" + @printf "$(pretty_command): create a virtualenv\n" $(VENV_NAME) + @printf "$(padded_str)VENV_NAME, virtualenv name (default: $(VENV_NAME))\n" + @printf "$(padded_str)VENV_INTERP, python interpreter (default: $(VENV_INTERP))\n" + @printf "$(pretty_command): create a development virtualenv\n" $(DEV_VENV_NAME) + @printf "$(padded_str)DEV_VENV_NAME, development virtualenv name (default: $(DEV_VENV_NAME))\n" + @printf "$(padded_str)VENV_INTERP, python interpreter (default: $(VENV_INTERP))\n" @printf "$(pretty_command): install tomato in a virtualenv, and install MCR\n" install @printf "$(padded_str)VENV_NAME, virtualenv name to install (default: $(VENV_NAME))\n" @printf "$(padded_str)MCR_INST_PATH, path to install MCR (default: $(MCR_INST_PATH))\n" @@ -71,14 +87,15 @@ help: @printf "$(pretty_command): install MATLAB Runtime Compiler (MCR)\n" install-mcr @printf "$(padded_str)MCR_DOWNLOAD_PATH, temporary folder to download MCR into (default: $(MCR_DOWNLOAD_PATH))\n" @printf "$(padded_str)MCR_INST_PATH, path to install MCR (default: $(MCR_INST_PATH))\n" + @printf "$(pretty_command): install libraries in $(REQUIREMENTS_FILE) to the virtualenv\n" install-requirements + @printf "$(padded_str)VENV_NAME, virtualenv name to install (default: $(VENV_NAME))\n" + @printf "$(pretty_command): install development libraries in $(DEV_REQUIREMENTS_FILE) to the virtualenv\n" install-dev-requirements + @printf "$(padded_str)DEV_VENV_NAME, development virtualenv name to install (default: $(DEV_VENV_NAME))\n" @printf "$(pretty_command): install tomato in a virtualenv\n" install-tomato @printf "$(padded_str)VENV_NAME, virtualenv name to install (default: $(VENV_NAME))\n" @printf "$(padded_str)PIP_FLAG, pip flags (default: $(PIP_FLAG))\n" @printf "$(padded_str)PIP_INST_FLAG, pip install flags (default: $(PIP_INST_FLAG))\n" @printf "$(padded_str)PIP_INST_EXTRA, install from extras_require (default: $(PIP_INST_EXTRA), possible values: $(PIP_INST_ALL))\n" - @printf "$(pretty_command): create a virtualenv\n" $(VENV_NAME) - @printf "$(padded_str)VENV_NAME, virtualenv name (default: $(VENV_NAME))\n" - @printf "$(padded_str)VENV_INTERP, python interpreter (default: $(VENV_INTERP))\n" @printf "\n" @printf "======= Docker =======\n" @printf "$(pretty_command): build docker image\n" docker-build @@ -95,11 +112,16 @@ help: @printf "$(pretty_command): sorts python imports\n" isort default: clean-all $(VENV_NAME) install + +dev: VENV_NAME:=$(DEV_VENV_NAME) +dev: clean-$(DEV_VENV_NAME) $(DEV_VENV_NAME) install-dev-requirements + all-editable: clean-all $(VENV_NAME) install-all-editable -purge: clean-all +purge: clean-all clean-$(DEV_VENV_NAME) -clean-all: clean-pyc clean-build clean-test clean-$(VENV_NAME) clean-bin +clean-all: clean-pyc clean-build clean-test \ + clean-bin clean-$(VENV_NAME) clean: clean-pyc clean-build clean-test @@ -132,9 +154,15 @@ clean-test: clean-$(VENV_NAME): rm -rf $(VENV_NAME) +clean-$(DEV_VENV_NAME): + rm -rf $(DEV_VENV_NAME) + $(VENV_NAME): python3 -m virtualenv -p $(VENV_INTERP) $(VENV_NAME) +$(DEV_VENV_NAME): + python3 -m virtualenv -p $(VENV_INTERP) $(DEV_VENV_NAME) + install: install-tomato install-mcr install-all: PIP_INST_EXTRA:=$(PIP_INST_ALL) @@ -143,6 +171,14 @@ install-all: install-tomato install-mcr install-all-editable: PIP_INST_FLAG:=$(PIP_INST_EDIT) install-all-editable: install-all +install-requirements: $(VENV_NAME) + source $(VENV_NAME)/bin/activate ; \ + pip install -r $(REQUIREMENTS_FILE) + +install-dev-requirements: $(DEV_VENV_NAME) + source $(DEV_VENV_NAME)/bin/activate ; \ + pip install -r $(DEV_REQUIREMENTS_FILE) + install-tomato: $(VENV_NAME) source $(VENV_NAME)/bin/activate ; \ pip install --upgrade pip ; \ diff --git a/requirements.dev.txt b/requirements.dev.txt new file mode 100644 index 0000000..ee9ffe2 --- /dev/null +++ b/requirements.dev.txt @@ -0,0 +1,5 @@ +tox +pylint +pylint-fail-under +flake8 +black \ No newline at end of file From 2c579cc405e0b42b7b4d4d860ed02a46a03da74f Mon Sep 17 00:00:00 2001 From: Sertan Senturk Date: Mon, 20 Jan 2020 00:36:25 +0000 Subject: [PATCH 3/9] Added lilypond install to makefile --- Makefile | 8 +++- README.md | 123 +++++++++++++++++++++++++++++++----------------------- 2 files changed, 77 insertions(+), 54 deletions(-) diff --git a/Makefile b/Makefile index 7df72ad..64669e2 100644 --- a/Makefile +++ b/Makefile @@ -84,6 +84,7 @@ help: @printf "$(padded_str)VENV_NAME, virtualenv name to install (default: $(VENV_NAME))\n" @printf "$(padded_str)MCR_INST_PATH, path to install MCR (default: $(MCR_INST_PATH))\n" @printf "$(padded_str)PIP_FLAG, pip flags (default: $(PIP_FLAG))\n" + @printf "$(pretty_command): install LilyPond\n" install-lilypond @printf "$(pretty_command): install MATLAB Runtime Compiler (MCR)\n" install-mcr @printf "$(padded_str)MCR_DOWNLOAD_PATH, temporary folder to download MCR into (default: $(MCR_DOWNLOAD_PATH))\n" @printf "$(padded_str)MCR_INST_PATH, path to install MCR (default: $(MCR_INST_PATH))\n" @@ -163,10 +164,10 @@ $(VENV_NAME): $(DEV_VENV_NAME): python3 -m virtualenv -p $(VENV_INTERP) $(DEV_VENV_NAME) -install: install-tomato install-mcr +install: install-lilypond install-mcr install-tomato install-all: PIP_INST_EXTRA:=$(PIP_INST_ALL) -install-all: install-tomato install-mcr +install-all: install install-all-editable: PIP_INST_FLAG:=$(PIP_INST_EDIT) install-all-editable: install-all @@ -205,6 +206,9 @@ install-mcr: echo "MCR is already installed to $(MCR_PATH). Skipping..."; \ fi +install-lilypond: + sudo apt -qq install -y lilypond + docker-build: docker build . \ -f $(DOCKER_FILE) \ diff --git a/README.md b/README.md index bbb5a18..ea6b444 100644 --- a/README.md +++ b/README.md @@ -6,21 +6,24 @@ ## Table of contents -- [Introduction](#introduction) -- [tomato in a nutshell](#tomato-in-a-nutshell) -- [Installation](#installation) - - [Installing tomato](#installing-tomato) - - [Installing MATLAB runtime](#installing-matlab-runtime) - - [Installing LilyPond](#installing-lilypond) -- [Running tomato using docker](#running-tomato-using-docker) -- [Documentation](#documentation) -- [License](#license) -- [FAQ](#faq) -- [Authors](#authors) -- [Acknowledgements](#acknowledgements) -- [References](#references) - -## Introduction +- [1. Introduction](#1-introduction) +- [2. tomato in a nutshell](#2-tomato-in-a-nutshell) +- [3. Installation](#3-installation) + - [3.1. Prequisites](#31-prequisites) + - [3.2. Install tomato using make](#32-install-tomato-using-gnu-make) + - [3.3. Running tomato using docker](#33-running-tomato-using-docker) + - [3.4. Step-by-step installation](#34-step-by-step-installation) + - [3.4.1. Installing tomato](#341-installing-tomato) + - [3.4.2. Installing MATLAB runtime](#342-installing-matlab-runtime) + - [3.4.3. Installing LilyPond](343-installing-lilypond) +- [4. Documentation](#4-documentation) +- [5. License](#5-license) +- [6. FAQ](#6-faq) +- [7. Authors](7-authors) +- [8. Acknowledgments](#8-acknowledgments) +- [9. References](#9-references) + +## 1. Introduction `tomato` is a comprehensive and easy-to-use toolbox in Python for the analysis of audio recordings and music scores of Turkish-Ottoman makam music. The toolbox includes the state of art methodologies applied to this music tradition. The analysis tasks include: @@ -38,7 +41,7 @@ For the sake of __reproducibility__, please also state the version you used as i For the descriptions of the methodologies in the toolbox, please refer to the papers listed in the [References](#references). -## tomato in a nutshell +## 2. tomato in a nutshell ```python # import ... @@ -73,15 +76,9 @@ plt.show() You can refer to the Jupyter notebooks in [demos](https://github.com/sertansenturk/tomato/blob/master/demos) folder for detailed, interactive examples. -## Installation +## 3. Installation -There are three steps in the installation: - -1. [Installing tomato](#installing-tomato) -2. [Installing MATLAB runtime](#installing-matlab-runtime) -3. [Installing LilyPond](#installing-lilypond) (optional) - -### Installing tomato +### 3.1. Prequisites `tomato` may require several packages to be installed, depending on your operating system. For example, in *Ubuntu 16.04* using *Python 3.5*, you have to install the _python 3_, _libxml2, libxslt1, freetype_, and _png_ development packages. You can install them by: @@ -89,6 +86,48 @@ There are three steps in the installation: sudo apt-get install python3 python3.5-dev python3-pip libxml2-dev libxslt1-dev libfreetype6-dev libpng12-dev ``` +### 3.2. Install tomato using GNU make + +You can install `tomato` and all its dependencies by running: + +```bash +make +``` + +The above command installs `tomato` to a virtual environment called `./venv`. + +If you want to install `tomato` in editable mode and with the extra Python requirements (namely `demo` and `development` requirements), you can call: + +```bash +make all-editable +``` + +### 3.3. Running tomato using docker + +For the reproducibility and maintability's sake, `tomato` also comes with `docker` support. + +To build the docker image simply go to the base folder of the repository and run: + +```bash +docker build . -t sertansenturk/tomato:latest +``` + +You may interact with the docker image in many different ways. Below, we run a container by mounting the `demos` folder in tomato and start an interactive `bash` session: + +```bash +docker run -v "$PWD/demos/":/home/tomato_user/demos/ -it sertansenturk/tomato bash +``` + +Then, you can work on the command line, like you are on your local machine. Any changes you make to the `demos` folder will be reflected back to your local folder. + +For more information on working with `docker`, please refer to the [official documentation](https://docs.docker.com/get-started/). + +### 3.4. Step-by-step installation + +If the above options do not work for you, you need to complete the three steps below: + +#### 3.4.1. Installing tomato + It is recommended to install `tomato` and its dependencies into a virtualenv. In the terminal, do the following: ```bash @@ -126,13 +165,13 @@ The requirements are installed during the setup. If that step does not work for pip install -r requirements.txt ``` -### Installing MATLAB runtime +#### 3.4.2. Installing MATLAB runtime The score phrase segmentation, score-informed joint tonic identification and tempo estimation, section linking, and note-level audio-score alignment algorithms are implemented in MATLAB and compiled as binaries. They need **MATLAB Runtime for R2015a (8.5)** to run. You must download and install this specific version ([Linux installer](http://www.mathworks.com/supportfiles/downloads/R2015a/deployment_files/R2015a/installers/glnxa64/MCR_R2015a_glnxa64_installer.zip)). We recommend you to install MATLAB Runtime in the default installation path, as `tomato` searches them automatically. Otherwise, you have to specify your own path in the MATLAB Runtime configuration file, [tomato/config/mcr_path.cfg](https://github.com/sertansenturk/tomato/blob/master/tomato/config/mcr_path.cfg). -### Installing LilyPond +#### 3.4.3. Installing LilyPond `tomato` uses LilyPond under the hood to convert the music scores to SVG format. @@ -140,37 +179,17 @@ In most Linux distributions, you can install LilyPond from the software reposito `tomato` requires *LilyPond* version 2.18.2 or above. If your distribution comes with an older version, we recommend you to download the latest stable version from the [LilyPond website](http://lilypond.org/download.html). If you had to install LilyPond this way, you might need to enter the LilyPond binary path to the "custom" field in [tomato/config/lilypond.cfg](https://github.com/sertansenturk/tomato/tree/master/tomato/config) (the default location is ```$HOME/bin/lilypond```). -## Running tomato using docker - -For the reproducibility and maintability's sake, `tomato` also comes with `docker` support. - -To build the docker image simply go to the base folder of the repository and run: - -```bash -docker build . -t sertansenturk/tomato:latest -``` - -You may interact with the docker image in many different ways. Below, we run a container by mounting the `demos` folder in tomato and start an interactive `bash` session: - -```bash -docker run -v "$PWD/demos/":/home/tomato_user/demos/ -it sertansenturk/tomato bash -``` - -Then, you can work on the command line, like you are on your local machine. Any changes you make to the `demos` folder will be reflected back to your local folder. - -For more information on working with `docker`, please refer to the [official documentation](https://docs.docker.com/get-started/). - -## Documentation +## 4. Documentation Coming soon... -## License +## 5. License The source code hosted in this repository is licensed under [Affero GPL version 3](https://www.gnu.org/licenses/agpl-3.0.en.html). Any data (the music scores, extracted features, training models, figures, outputs, etc.) are licensed under [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/). -## FAQ +## 6. FAQ 1. **The notes aligned by `JointAnalyzer.align_audio_score(...)` seems shifted. What is the problem?** @@ -216,16 +235,16 @@ Any data (the music scores, extracted features, training models, figures, output It has a culture-specific answer. -## Authors +## 7. Authors Sertan Şentürk contact@sertansenturk.com -## Acknowledgments +## 8. Acknowledgments We would like to thank [Harold Hagopian](https://en.wikipedia.org/wiki/Harold_Hagopian), the founder of [Traditional Crossroads](http://traditionalcrossroads.com/About-Us), for allowing us to use Tanburi Cemil Bey's performance of [Uşşak Sazsemaisi](http://musicbrainz.org/recording/f970f1e0-0be9-4914-8302-709a0eac088e) in our demos. -## References +## 9. References _The toolbox has been realized as part of the thesis:_ From 62d2db444f74a89dd40159db62b8818d3c2c3057 Mon Sep 17 00:00:00 2001 From: Sertan Senturk Date: Mon, 20 Jan 2020 00:41:34 +0000 Subject: [PATCH 4/9] Updated readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ea6b444..419fc1b 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ - [3.4. Step-by-step installation](#34-step-by-step-installation) - [3.4.1. Installing tomato](#341-installing-tomato) - [3.4.2. Installing MATLAB runtime](#342-installing-matlab-runtime) - - [3.4.3. Installing LilyPond](343-installing-lilypond) + - [3.4.3. Installing LilyPond](#343-installing-lilypond) - [4. Documentation](#4-documentation) - [5. License](#5-license) - [6. FAQ](#6-faq) From 6defbd37bd3389bb28094fdd3cbb4a8a32f29e26 Mon Sep 17 00:00:00 2001 From: Sertan Senturk Date: Mon, 20 Jan 2020 01:13:44 +0000 Subject: [PATCH 5/9] setup reads the version by opening the __init__.py --- Changelog.md | 1 + README.md | 6 ++++++ setup.py | 5 ++++- src/tomato/__init__.py | 2 +- 4 files changed, 12 insertions(+), 2 deletions(-) diff --git a/Changelog.md b/Changelog.md index 5f27bcf..bafff02 100644 --- a/Changelog.md +++ b/Changelog.md @@ -9,6 +9,7 @@ - Introduced code linting (Pull request [#117](https://github.com/sertansenturk/tomato/pull/117)) - Introduced `Makefile` (Pull request [#121](https://github.com/sertansenturk/tomato/pull/121)) - Introduced dockerized tests for completeanalyzer and scoreconverter classes (Pull request [#120](https://github.com/sertansenturk/tomato/pull/120)) +- Moved `tomato/` to `src/tomato/` - Added Github issue templates (Pull request [#101](https://github.com/sertansenturk/tomato/pull/101)) ## tomato v0.13.0 diff --git a/README.md b/README.md index 419fc1b..7c4cdee 100644 --- a/README.md +++ b/README.md @@ -91,6 +91,7 @@ sudo apt-get install python3 python3.5-dev python3-pip libxml2-dev libxslt1-dev You can install `tomato` and all its dependencies by running: ```bash +cd path/to/tomato make ``` @@ -102,6 +103,11 @@ If you want to install `tomato` in editable mode and with the extra Python requi make all-editable ``` +For more options, please refer to the help by running: +```bash +make help +``` + ### 3.3. Running tomato using docker For the reproducibility and maintability's sake, `tomato` also comes with `docker` support. diff --git a/setup.py b/setup.py index d66ae43..51c29d1 100644 --- a/setup.py +++ b/setup.py @@ -7,9 +7,12 @@ from setuptools import find_packages, setup -__version__ = "0.14.0.dev6" TOMATO_DIR = "src" +# Get version +with open(os.path.join(TOMATO_DIR, "tomato", "__init__.py")) as version_file: + __version__ = version_file.read().strip() + # Get the long description from the README file here = os.path.abspath(os.path.dirname(__file__)) try: diff --git a/src/tomato/__init__.py b/src/tomato/__init__.py index 103aa86..bddb1bf 100644 --- a/src/tomato/__init__.py +++ b/src/tomato/__init__.py @@ -1 +1 @@ -__version__ = '0.14.0.dev6' +__version__ = '0.14.0.dev7' From b6df10c67d508f7044a51389f4a06fa0093d7f65 Mon Sep 17 00:00:00 2001 From: Sertan Senturk Date: Tue, 21 Jan 2020 00:36:26 +0000 Subject: [PATCH 6/9] Moved sample-data from demos/ussak--... to sample-data --- .dockerignore | 7 +- Changelog.md | 2 +- demos/audio_analysis_demo.ipynb | 68 ++++---- demos/complete_analysis_demo.ipynb | 152 +++++++++--------- demos/joint_analysis_demo.ipynb | 86 +++++----- demos/score_analysis_demo.ipynb | 20 +-- demos/score_conversion_demo.ipynb | 14 +- docker/tests/Dockerfile | 2 +- requirements.dev.txt | 7 +- .../f970f1e0-0be9-4914-8302-709a0eac088e.mp3 | Bin ...emaisi--aksaksemai----neyzen_aziz_dede.mu2 | 0 ...emaisi--aksaksemai----neyzen_aziz_dede.pdf | Bin ...emaisi--aksaksemai----neyzen_aziz_dede.txt | 0 setup.py | 7 +- tests/joint/test_complete_analyzer.py | 8 +- tests/symbolic/test_symbtr_converter.py | 2 +- 16 files changed, 194 insertions(+), 181 deletions(-) rename {demos => sample-data}/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 (100%) rename {demos => sample-data}/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.mu2 (100%) rename {demos => sample-data}/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.pdf (100%) rename {demos => sample-data}/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt (100%) diff --git a/.dockerignore b/.dockerignore index c602598..c000fbb 100644 --- a/.dockerignore +++ b/.dockerignore @@ -3,11 +3,12 @@ # Allow files and directories !demos +!MANIFEST.in !tests -!src -!setup.py !requirements.txt -!MANIFEST.in +!sample-data +!setup.py +!src # ignore unnecessary files inside the folders **/*~ diff --git a/Changelog.md b/Changelog.md index bafff02..f52f6cc 100644 --- a/Changelog.md +++ b/Changelog.md @@ -9,7 +9,7 @@ - Introduced code linting (Pull request [#117](https://github.com/sertansenturk/tomato/pull/117)) - Introduced `Makefile` (Pull request [#121](https://github.com/sertansenturk/tomato/pull/121)) - Introduced dockerized tests for completeanalyzer and scoreconverter classes (Pull request [#120](https://github.com/sertansenturk/tomato/pull/120)) -- Moved `tomato/` to `src/tomato/` +- Moved package to `src/tomato/` and data to `sample-data/` (Pull request [#122](https://github.com/sertansenturk/tomato/pull/122)) - Added Github issue templates (Pull request [#101](https://github.com/sertansenturk/tomato/pull/101)) ## tomato v0.13.0 diff --git a/demos/audio_analysis_demo.ipynb b/demos/audio_analysis_demo.ipynb index ebcb479..a28429a 100644 --- a/demos/audio_analysis_demo.ipynb +++ b/demos/audio_analysis_demo.ipynb @@ -20,7 +20,9 @@ "outputs": [], "source": [ "# instantiate\n", - "audio_filename = os.path.join('ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede',\n", + "audio_filename = os.path.join('..',\n", + " 'sample-data',\n", + " 'ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede',\n", " 'f970f1e0-0be9-4914-8302-709a0eac088e',\n", " 'f970f1e0-0be9-4914-8302-709a0eac088e.mp3')\n", "\n", @@ -43,26 +45,26 @@ "name": "stdout", "output_type": "stream", "text": [ - "- Getting relevant metadata of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 1.35 seconds to execute.\n", - "- Extracting predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 43.13 seconds to execute.\n", - "- Filtering predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 7.03 seconds to execute.\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Getting relevant metadata of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 1.42 seconds to execute.\n", + "- Extracting predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 45.65 seconds to execute.\n", + "- Filtering predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 11.49 seconds to execute.\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.07 seconds to execute.\n", + "- Computing pitch class distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.05 seconds to execute.\n", - "- Computing pitch class distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.05 seconds to execute.\n", - " The call took 0.05 seconds to execute.\n", - "- Identifying tonic from the predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.42 seconds to execute.\n", - "- Identifying the transposition of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Identifying tonic from the predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.46 seconds to execute.\n", + "- Identifying the transposition of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.00 seconds to execute.\n", - "- Computing the note models for ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.05 seconds to execute.\n", - "- Computing the melodic progression model of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 2.74 seconds to execute.\n" + "- Computing the note models for ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.04 seconds to execute.\n", + "- Computing the melodic progression model of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 3.25 seconds to execute.\n" ] }, { @@ -105,22 +107,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "- Getting relevant metadata of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 1.29 seconds to execute.\n", - "- Extracting predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 42.12 seconds to execute.\n", - "- Filtering predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 7.03 seconds to execute.\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Getting relevant metadata of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 1.48 seconds to execute.\n", + "- Extracting predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 45.73 seconds to execute.\n", + "- Filtering predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 7.13 seconds to execute.\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.05 seconds to execute.\n", - "- Identifying tonic from the predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.44 seconds to execute.\n", - "- Identifying the transposition of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Identifying tonic from the predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.39 seconds to execute.\n", + "- Identifying the transposition of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.00 seconds to execute.\n", - "- Computing the note models for ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.05 seconds to execute.\n", - "- Computing the melodic progression model of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 2.54 seconds to execute.\n" + "- Computing the note models for ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.04 seconds to execute.\n", + "- Computing the melodic progression model of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 2.70 seconds to execute.\n" ] } ], @@ -173,7 +175,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.6.10" } }, "nbformat": 4, diff --git a/demos/complete_analysis_demo.ipynb b/demos/complete_analysis_demo.ipynb index 9927bbc..c63e95d 100644 --- a/demos/complete_analysis_demo.ipynb +++ b/demos/complete_analysis_demo.ipynb @@ -18,14 +18,16 @@ "metadata": {}, "outputs": [], "source": [ + "data_folder = os.path.join('..', 'sample-data')\n", + "\n", "# score input\n", "symbtr_name = 'ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede'\n", - "txt_score_filename = os.path.join(symbtr_name, symbtr_name + '.txt')\n", - "mu2_score_filename = os.path.join(symbtr_name, symbtr_name + '.mu2')\n", + "txt_score_filename = os.path.join(data_folder, symbtr_name, symbtr_name + '.txt')\n", + "mu2_score_filename = os.path.join(data_folder, symbtr_name, symbtr_name + '.mu2')\n", "\n", "# audio input\n", "audio_mbid = 'f970f1e0-0be9-4914-8302-709a0eac088e'\n", - "audio_filename = os.path.join(symbtr_name, audio_mbid, audio_mbid + '.mp3')\n", + "audio_filename = os.path.join(data_folder, symbtr_name, audio_mbid, audio_mbid + '.mp3')\n", "\n", "# instantiate\n", "completeAnalyzer = CompleteAnalyzer()\n" @@ -42,40 +44,40 @@ "name": "stdout", "output_type": "stream", "text": [ - "- Automatic phrase segmentation on the SymbTr-txt file: ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", - " The call took 9.26 seconds to execute.\n", + "- Automatic phrase segmentation on the SymbTr-txt file: ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", + " The call took 13.47 seconds to execute.\n", "- Getting relevant metadata of f970f1e0-0be9-4914-8302-709a0eac088e\n", - " The call took 1.32 seconds to execute.\n", - "- Extracting predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 39.89 seconds to execute.\n", - "- Filtering predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 6.58 seconds to execute.\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.04 seconds to execute.\n", - "- Computing pitch class distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.04 seconds to execute.\n", + " The call took 1.31 seconds to execute.\n", + "- Extracting predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 51.55 seconds to execute.\n", + "- Filtering predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 7.29 seconds to execute.\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.05 seconds to execute.\n", + "- Computing pitch class distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.05 seconds to execute.\n", - "- Identifying tonic from the predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.38 seconds to execute.\n", - "- Identifying the transposition of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.00 seconds to execute.\n", - "- Computing the note models for ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.05 seconds to execute.\n", - "- Computing the melodic progression model of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 2.44 seconds to execute.\n", - "- Extracting score-informed tonic and tempo of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 15.73 seconds to execute.\n", - "- Aligning audio recording ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 and music score ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt.\n", - " The call took 21.07 seconds to execute.\n", - "- Filtering predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 after audio-score alignment.\n" + "- Identifying tonic from the predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.34 seconds to execute.\n", + "- Identifying the transposition of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.00 seconds to execute.\n", + "- Computing the note models for ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.04 seconds to execute.\n", + "- Computing the melodic progression model of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 2.78 seconds to execute.\n", + "- Extracting score-informed tonic and tempo of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 15.80 seconds to execute.\n", + "- Aligning audio recording ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 and music score ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt.\n", + " The call took 20.47 seconds to execute.\n", + "- Filtering predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 after audio-score alignment.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/home/sertansenturk/Documents/notaIcra/code/tomato/tomato/joint/alignedpitchfilter.py:77: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", + "/home/sertansenturk/Documents/notaIcra/code/tomato/src/tomato/joint/alignedpitchfilter.py:79: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", " p[1] for p in pitch_corrected\n" ] }, @@ -83,17 +85,17 @@ "name": "stdout", "output_type": "stream", "text": [ - " The call took 20.12 seconds to execute.\n", - "- Computing the note models for ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n" + " The call took 20.45 seconds to execute.\n", + "- Computing the note models for ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/home/sertansenturk/Documents/notaIcra/code/tomato/tomato/joint/alignednotemodel.py:143: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", + "/home/sertansenturk/Documents/notaIcra/code/tomato/src/tomato/joint/alignednotemodel.py:141: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", " p for p in pitch\n", - "/home/sertansenturk/Documents/notaIcra/code/tomato/tomato/joint/alignednotemodel.py:156: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", + "/home/sertansenturk/Documents/notaIcra/code/tomato/src/tomato/joint/alignednotemodel.py:154: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", " temp_pitch_vals = np.hstack(nn for nn in note_trajectories)\n" ] }, @@ -101,22 +103,22 @@ "name": "stdout", "output_type": "stream", "text": [ - " The call took 19.00 seconds to execute.\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 19.25 seconds to execute.\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.02 seconds to execute.\n", - "- Computing pitch class distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch class distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.02 seconds to execute.\n", " The call took 0.03 seconds to execute.\n", - "- Identifying the transposition of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.01 seconds to execute.\n", - "- Computing the melodic progression model of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 2.66 seconds to execute.\n" + "- Identifying the transposition of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.00 seconds to execute.\n", + "- Computing the melodic progression model of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 2.72 seconds to execute.\n" ] }, { "data": { - "image/png": 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cQtiFnCmFSJJG2/JmQ6NpaG/g3g33pm0dkQI+kqERmdSNEOZQ9M8sE0LEJg93ssc1Z1xDjiMnGCwTNuVTIMEyIVLGfi19ITLErm9HC2TLpStzIubbMG2YrZdKUj8DJ1lB1jF95HSzi2DbMcsCRhWOMrsIQog0U0oxLH9YMPBvx4e9AvxN+y1ml0IIu5AzpRADIE9NE2fnRmc6STfM1JD6s5ZseCgR9m2YNso0mzp8qtlFEMI0djqWowm+AEvuwWzN53OaXQQhbEWCZUIkSQaq729bzTZ+/tbPOdl+Mup0ErBI3GC5oReZle37VbzBsm0127jl5Vvo9nanvAxKqawI2gkhxEBJZpk9RLx2e50A8zNZFiHsTM6Ufm8dfouqxiqziyGyRH1bPYsfXcwe956I08jTuf7q2+pZf2w97Z72iNNIkDE5wcwyqbsBkfqzlnjPs3/Z+BcONx7mePPxlJfBoRz934Yp538hbCGZQHiXt4tPPvFJVh9ZnYYSpZdkqdubx8gsu8jscghhFxIs87tn7T184+VvRPz+t2t/y+JHF2ewRCIZgZuAgTZk3qt+D4CX974ceV3angP8hzrRfCKh6Z0OI/072s2nRkce4F8aoDHJDa5IpWzPmIq3fOkcazFcN0w7yPasQiEyIZlzxqmOU3R5u3hw84NpKFF6Bc5l8uDInrzaAfB+s8shhF3Yu6WfQm8eftPsIogMynXmAkTt0jMYAjvP7X4uoekDwcNojTBpoCVH6i11pC57ZPt5LO5gWYqDyKH1opBumEIMRLafZxLlVMaDQa/Pa3JJkicP3uzJCxq42OVy5ZldFiHsQIJlCZIbZnt5bPtjwSyyUDmOHAA8Pk/U+a1ys9He3c5bh99KeL5E9/fAk0qvjn4DKU80EyfdMEU6ZFPgsKm7iQ3HNvT6LN7ypfq4CB3XJ9zbMEPLlex9QWtXK6sOr0q+kEKIAUvm+A2cD2Ld62QjacfYmw8UMBL4ktllEcIOJFiWoA5Ph9lFECn06PZH2Vqztd/ngWBZty9KZpmFxt66d8O93LP2Hg6ePJjW9QQyy5Lthilik7oTqZRNGR8PHnqQn731s2C2Rnt3O01dTQktIxXBv9VHVrPxxEbA6Foeqxvmb9f9Nqn1/P7t3/Obtb/haNPRpOYX9tHa1Wp2EUQCrJxRFmD3YUQCtNb8ecOf2d+w3+yiZES3z0GezlkH3Odyub7icrnkplGIARgcZ8oUSsebtkT2iSfo49M+y9xs1LbWAsagtLGENp4TfQIZb7BMJK6utQ6QzLJYPD4Pf9/0d5o7myNOY/d90Ovzsq9hX1zT/nPLP9NbmASc7DLeohvI6P30U5+mpasloWWkYtvurt8d/LdTOcO+DTN0PV3eLtq62xJeT31bPWAEBcXgdv3T15tdhEErmQC7lbOzrFz2ZDR1NvHK/lf4zvLvZFUmdbq0dQ5hbsfFPodWK4G/A++6XK6bXC5XvtllE8KKrNHSzyKd3k6ziyCiSFVWgetNFwCbTmyK2Oj2aE9wbLNsFxzQNcGspEQbnvGMWQbWC/hkwxuvfr7q52YXwRLWVq3lhT0vRBx4eTBk5j2y9RG+u/y7HDp1KPqE5eV0/eU+Fq44zMIVh6G8PCPliyRw3oh23mnubA6bhRPPg4uVB1dy4OSBfp/7tI/Htz8eDHiFnp8CmWWxzmk/WfmTmOvvK3i+NDl4a/b6hTBTMvv/zrqdgPXuZUJZ5WHvQAVePAWwfP9yE0uSGcO6R/Aj2i8t7Lhk1szu034J5AL/BKpcLtcTLpfrOy6X60KXy2WNBowQJssxuwBWk++UwLxd3b36btZUren3+Z/f+TN3XnZnr88OnDxAQ3tDcJDXbLe3YS+Q/hu7WJllW2u2Ut9Wb7mAxa/X/Dr4b62lG2mmNbQ3cMvLt3D3f93N6cNPjzptICtpsD09DxXIKjvZfpKpI6aaW5gkaK2hvJyFGw73+vxnE3/GhuMbuOi0i/jhFT+MPG8Ev3v7dwAsu2FZr8/XVa3jkW2PUNdWxy0X3tLr+Haq8N0w+66n0l0Z+4f1EU8mrkic1tqSY0kJcyTzkPUP6/+QhpJkhh3fhlnVWMXrB17nCwu+0O/+LHT7VjVWZbpoGTe6yO3LPaV23UfnvBme035wqWfKhtNyjn3reO7hi4DLgOv8k7a7XK53gPXADmA3UFlWVnbKpKILkZUkWJag0CcUwl7CBcog/Dh1337l24D1nsj/z6v/06+hmEqxGn8/fCN8AzdU1gWi+jbam8rh5ptNK07W1U8GvH30bZq7mllWuYxvXvjNqNOGDsw+WAX2EaudnwIBjuX7l1Pa0f9+fcNxY/D/aMdApN8c2mDq9nb3ygoOjE0Z7lzvUA7jbZikPqBltWDZa/tf4/ThpzNr9CyzixLVXzf+lTVVa/jKqK+YXRRhAV98/otJz2vF6/H979wPWLPskZRVlFHXVsfiWYsZPWR0xOmsdk1MhsMBDej5I1BfPon+5T/purDQM+bC8z0TjszE+QNf4ZoK4GLgEv9/38HIPgPA5XJVYwTO+v5XVVZWZo2LlRApJMGyBNlhUE8RRpgshgDFEdgzEZYsCfOdBW42+v62Zn9Xq5DfU99WH/YGI9lG3IqDK5gzZk7E7y1RbxFodOZLH7INxx55DkZuCbs/2lWuw7iPiydbJNZTcyvue4mWOTC9VcfYfHDzgxzdGv58DOHrI/AgK9I1uuP+P7Fws7HMTve95OYVx3UMxdsNMxmB32GVYNmfNvwJ6J+ZF8k7x95JZ3Eiys/Jl5cxibi1dif/cgUrXk9qWmsAa5Y9lnDn0sEQIAuYNHQSylOgDt39UQ08MPXOlx6cjeO/8lB3b8Bz7io8j8xtf//JWTj+9zYKb5909+U+l8uVA0wDZvf57zMYb9UMaHe5XJX0D6LtLSsrS3zQTiEsQoJlCZLU/sGn34U2JHAxe+tbsNlp6cDFjtod3LniTm67+DZKp5b2+i7RRty6o+sAIzPk5vNujjimm5lPNDce34jrTRc3n3czi2YuSnj+wTBAbLYJBEICXSyjCTR8omYf2XkblpdzXuUmxjQe4Z0VX+XCC76JipQJuWQJy4f2BD5uucG657HCnEIg8hurQ7d4rP0odFyzTk8nrx54FYCbnruJSUMn8fOrfp6SBpjVMsvi0drVypDcISileHjrw6aUId+ZT6e3097HucXYZlv4x3UM3AMW5tRCXbml7wHtIDAkSriHJaH73mDIOM/tGBu8+fEHzV4DXvvana+e3oG+fyveD+/E+/PhqO995c5VD36Zqx4FNk66+/K9QPCGwP8WzdEYgbM59ATR3o8RSAusR7tcrkPA1vM2bjx1zfLlH6maPPnWRz7/+cfLysr6HfhKqXuBj2mtp/j//gTwF6DaP8kzWuufRvuNSqn7gY8ABVrr8SGffxf4AsaY7PXAZ7TWtf7vPgv8wF/uH2utn/J/Pg34BzAW2ATcpHV6LspKqWLgv7XWf0vH8kV6pC1YppQqAN4C8v3reUprXaaUugr4LZCHsVN+WWvtUUrNxthZzwV+qLUO+y72SPOn63cEFOQU0OHpYGTByNgTC5FlivOKg2+V8/q8vboTH2k8AhhBs77Bso3HN8a/kvJyzjryNr5q4yZy34Hv9WSX9bmRNPOJZuDlDX/b9LfkgmWpLlCCBlvA/sDJA8H9JVaQw6d9wYH97XJTfKrjFE2dTQnN4wgZS9GnfVhl8ICPr6mhqLj32y9nlsxk3g//SJe3i+Wv3AoQtj4Kc41gWbsn/JslQ+99o+5H5eWM3/ACgbvvlStuYCGw/OopNLQ30NDewI/e+BFba7fG/8MisFuwrK27jeufvp6xQ8by4Mcf5OCpg6aUI7AvdGuLZFaGy/62SfAl3df6tVVrKcot4uzxZye3gAHWvcfC1+Mch33yJYKZxWG2R+6D/wxmFc/e8RZs9Nnm+Aqn8NRM/vy1N9Q3/3pVr9vVv959zRFg0d13vl78Al1v/JOuC+bg/Nal5H4X2H/0zlWPAY9OuvvyHQD+QFed/79VoctyuVyFwAx6Amjzpu/de/E1y5dPzuvuZnJV1aPT9u9/wOVybQQ2AneXlZXVK6WmAlcCeUqpoVrrZmAe8FOt9f0J/Mx/AC8C3+3z+XbgAq11l1LqPowupj9QSl3sn/YioBjYADyllHIAzwHf0VqvVEq9CHwIeDmBsiTiPOAqQIJlFpLOM2UncJXWukUplQusVkotBx4CrtZa71FK/RS4CXgQaABuBa6NtED/Th1p/rSaMWoGPu2zVR9/MXA+00Mn8QltPD+z+1mum/up4N+BG6ZwDcjmrvBvAo3kgokXsKV6C2B0xRw9ZDRjisb0my6eDKGs0Sf75uZPmzsOzpDcIaauP5OqGqv49ivfZlThKCB2N/jQ7yM1BKx2Dm/tbmVLzZaE5skJCYZbfZxNp3Jy2rDTen22vW57v+kCmWXVLdXsce9hZsnMXt+HNqIinX/CZb/M293Qb585ev08AOMNoqESbGgH9lG7DO8Q6PZb21ZL632/Z+GWnvpxnHoAvh59vMFUqaw3XrZw1467uOaqa+KaJ9JQBCK7/Wr1r4D4uwangifkePVa6V6mD6tfG0IFHjyEP5f2nNft2PW0r5yukQALgM19v5t650tFwKeA6UDt03R99FJyzwJuAP4v8MOjd67aBpRNuvvyZyOto6ysrB3Y6v8PlLoSCD59zuvu5salS/OfvO660Xtmz74V+KTL5foYcDvwc+CrGEGyt4G5GG/rjJvW+h2l1K3Atj6fvxbyZxs9Y7H9D0YiThPQpJTyKqVKMIJnu7TWK/3TbcLIousVLFNKDQd+j1GvxcAdWuvnlVKfwYhdDAPewUjg0UqpoxjZctcCQ4D/AgqBxwCPUmoLcAtwpn/+XKBJa31ZIvUgMiNtwTJt3HUGHhHn+v/zAl1a6z3+z1/DODgf9KdJ1iqlPhplsSWR5k91+fvSWtsmU0GEsWQJrXNPsrpqddivI3VP6vJ2pbNUqbFkCWtffJdjzceCH10X8nuiZTe8/7T3J7Sq/Jzeb4uta6vrCZaFPMEdkf80bC3s17DMZFeNiyddnLF1DdiSJeyetJUjjUe45YYys0uTMTkP/oOFOw8Dxn4zeZgPLo88fWjXuEDwJNZ0dhR4G+b8sfNNLkkCyss5e38T+fmdwY92zB6FM0zQsyi3qN9nBTkFAMHMwr6N55Yv3MjyF98E4ANXfYLx43rqpm8D6pzx57C5uqedkevMZd7uBgAmVLdyYvcjLAyZfsdsI5jr0z4SuUtIpHtxNunydpHnzOv3eeg90v6T+5k3Zh476nZksmgAzBkzh7VH18Y9/VuH3+Ketffwy6t+yfxxFjpmRErF+yClyp+ND9buXmqnNk2gG2ZjZ2O/70K3UXt3+MxjK4p2H/PsuvuW3qKurgn8XXzOR94pueYbI7TWn1FKDe0+eby17umf7XnSXfXbJ41J/ln1/bc+W9vi/kK3z1NWnDfk8SkO59qQdsFftNaPK6UmA736138cRjwFs3OMnmRBOV5vznVPPjl76Y03th8888ypR48e/X8Y3SO/gPFWzvdhBMvmAL9RSv0eeEBr/fs4q2A+EPZEr5Q6G/g8cIVSqggjm+uGkEmKgS7gRuDZPp/Xh1nkY8AyrfWXlFI5wHClVCnwYeBKfybb4/717QPGACu11r9QSv0RuEZr/ZBS6nngRa31i0qpoUA5sMA//4g4f7fIsLTm4CqlnBhR2unAnzHSHnOUUudrrTdiRLcnJ7DI+njnV0otAZYAjBs3joqKCgC2nNqCu94NwObNm/EcMG5SA58Fpuvr0JFDOJUz7PctLS0R5xPxCdThQOvy0OFDuFvd5Dhy4lpOfX09u3bvouJkBUePHqXhVEO/mx+lVO9lzZzJ413D8Wov04uLKZw2E0za/vHW24kTJ3B3GPv42SPO7jXt1pNbcde72evZS0VnBV7tDR4P7Y72uLfHhErjaX5rS89gubXHa3E2ODlRUcGEysrgd7oDKisrOdFn2fX19ezevZuKk/GtM1EtLS1M9U5l08lNuLU77n0uUB8Ab775JjmOnJjnjFSrPl5NSU6JaeeaVB2jiSg6VNVrf6ruqo667m4e5F5hAAAgAElEQVRfd3C7NBxsoOJU/2n3Ve3jRNuJlP+GcPWSiroK3c+2N27ntdrX+MrUrzA0d2j4GWbOZGlnMQA/mfs5KpwFUc9PbSfbaPe2B9eRaYE6mlBZiU/76OzsCZa1trRST12wXIG6aHH2r9dR/3qKy9p6GrGVG2/jxOLFwb9rO2qD86/dsBb30J5jOnBfsN+zn8rKIkYzOrjfdXZ2Mj5nPIc7jYCtx+PpVcZAOQFWvlfBm08cp7qjmhsm3xCz8X348GHcTW42btpI+774G3GpOhZPVJ/gVNcpDnUcims5gfr7/uPf5+MTP97v+zZPW3Ca7QebyXXkBetmz9691GXqvOErwl3vxuP1BH9XtLp64fgLuN1ulq1ahnu0O+w06RR6bYTw18Z0S/W5KmB73Xbc9W52V+6mojG55Ucr20CvwwnX/cyZ7GzysHSIcY6dVjSNeWckdw/Y0NVAkbOIfGd+7IkZ+Dbae2wv1c3VNHcbPQYOdx+mwpf88lJVrlTYeXgn7Z52nn7zaRrGNvT6buS+fcFtvKllE5M9kzN+fEHvehrIfnu8/TjuejeOFkfwvj7A0ezgfUChs03lDB+XV7zgw+OK5lwxIWf42A8Arfg8z9Q++8v57fvf6RVVvGb6ZeOAG4cXDP2IQzkKcp05anzx6NzjzbX9+rLn5+c7Ro0aVTBy5Mj84cOH5//93XfPzOnsDBtPyPF6nZ98+mn12+9971v/+te/FgH3+jOvdmFklgEs0lofU0qdBmxWSr2itd4VR1W8jzDdGZVS5wNPYIxXtkcpdQ6wLzBkk1JqItCitW5WSr0PI9MtYD5G986+yxsZ6CbqX45bKXUHxosRNviv9UMxxkObD7ystQ4E8nKBwOu9zwJ+6f+3FyPb7H+VUg/54xoiC6U1WKa19gIL/NHSZzEOjOuB3yul8oFXMXaWeJenlVJxza+1LseI2HL++efr0tJS44tDsKJ9BQDnnHMOl51uZDyWnCgBIDhdHy91vURBTkHY7ysqKiLOJ+ITqMOB1uWr3ldpqm0i15Eb13JGV49mzuw5lJ5dytb1Wzl84HC/pzUfOvNDlF7Ye1kXdl7InoY9fO2yr3HJ5EuSLu9AxVtvz7Q/g++U8YTovFnnUXpuyLSH4I2ONxg6eiilpaV4fV5Kqo3jYe6cuZSeFXm5vfjXv/WZ6uCYQh+9+gfMGvs+ZgHs2UNRo5ERMq5oHLNmzWJWnzKHbo90qKioYMaYGRw6cIhZM2dRel58+9x5bedxqPEQAFd84ArynHkxzxmp9lzHc4wqHEXpBzKzvr5SdYwmwv3e26xvWx/8e1jhsKjr7vJ2UVJjbJf3n//+sMfmu+vepauuK+W/IVy9pKKuQvezrv1dLN+wnIsvvThql7HAPAuvWhgzYPNk65McaTrCpZMvpfSygZU1GcE62rOH546NoKi4KJjFVVRcxMQJp3HJnj2wZEnwd0H/427diodwn+hpOPQ9vxw4eYCSk8b88xfM77VvqEOKFe0rOPP0M5n1uTsA+Fzzbdz84s0UrTjMwgu+SvXDPwMgJ8dDfn5P43ZI7hCKio2stvETx1FdWM0J7wnOv+R8huZHCGj6rXlrDbXHajn33HO5eHL8ma6pOhYfbnwYZ5uTKeOmxLWcQP1PmTaF0ov6T9/c2UxJnTHNZXPOpqqxippqY8zmmTNmMC+D90l/qvkT7np38HdFq6vKjZXs3buX+fPnUzorc2UMKi3l7ccPBDMMv3/D/xrXzAxK9bkqwL3TzUbPRmbPmk3pOcktP1rZBnwdLi3l9G3ns3T7UiC+ui88Wsh/Wv8DwFmTz0r6vLn40cXMGDWD3139u7imH+g22rZ+G40nGslrN7JCp5w2hdIrkl9eqsqVCmuda1l3dB0LL17Y77rvvnA+q5/veZBixvEFvetpIPvtgZMHePTUo5w27DR8Tb17hEwcOhG92cvB//pWxWkOvoqRybUa+H/AU4fvubb5qLPEidEevzTkv7sB8nPydnTj+eNO59GNS277Rjtwhv+/z7lcrh/cddddk+n9hkxenjmTG//9b3I9YTOk24ra2hbfddddbcA9wGyl1J+BAvxdKLXWxwL/r5Q6gtGlMSpl3NjMAXb2+fwq/2+9TmsdeB1zPj093cDoGrm073dKqVH+3/pWn9UtwMiA6+ssYKo/1hFahtv7TH8WRkBMAZO01kf8v7fNH6xbDJQrpR5IcNw2kSEZGd1Ra31KKbUS+JB/4P7LAZRS1wAzo87cf1nrBjJ/sjTSDXOwWXLuEsrfLWfayGn9vhuaP5QZo2aYGihLRLR9t7HDeMC0s35nxGkSUVJYEnFAcody4tNealprWHNkDZdijUFWzx5/djBYJrJXvF1irNx1Jh55zjwWz1wcV7eiwMOBbB3LxeONb5D2WOUPHcsmVvf5hvaG4DTLr57CLTfczKyWE6ypWgsbe86TO2aP4oKJF7B8Ti0Asy5cxLW+bv6y8S+2fhHH7NGzY07T8LlPsb9mK8t3GoHPr1z3ZcK/Gzk9zhhxRq+M4GyX68i1XHdcu7hu3nUs3b6UD0z5QMLzDrRL/96GvQOafyAGyxh9odvoc2d9zsSSZMbJguO0OEbfjDFm1u8P3f3RvUfvXDUCuPHonas+AVyMPyDVjbfxlGqtPuZseHefszqn0dE2CWNQ/F6LxBgL4zBG4O0oUBX479C0acdyPZ5LMDKyQgfVbQMWofVKlFoBLNZavw6glBqHkUU2Tmtd4//s0xhZWO/4//4f4B9a65NhfuZUoFZr3Rb4QCl1Lca4You01qEDm+4DzvS/eHAUxhhhgZEUdgHn+H/LPcBf+wa/MN7SeZ1SyqG19imlxvqHjqrG6Ib5or8n3Wyt9Q6MzLKl/jIpf1kPYAwlFQzaKaVmaK33Ao8ppeZiBBBFFkrn2zDHAN3+QFkh8EHg14GdzJ8Z9n3gFwkud0DzJ0NrTaW7ksnDEukxKqwoz5lHp7eTs8aexQWnXUD5u+XBsXBCaa2ztnEZjtaaCyZewPba/gNjp1rEelmyhP+EDJS/nAYyNySvsKKWm25g+X/WBP+eOnxqr0En+oqn4WKl43ZQWbKEV72PM2REnxdYhNlc5004L+HFh47JGCtY9oXnvtBvX5p4211cB7R2tXL909cDcPvFt3Og+Tj4s1Ke2fUMi2ct7ru4QcupzBtAfPqo6ezO3W3a+hNl94ex2TxOZI4jh7FDxsa9v15w2gXBf1vxTbZXTr2SlYdWRh3X067sfpwBnCyoBj269NDdH33z6J2rLj9656qfafS1CpXfSXftCcfJhiPO+rxqx6mCZtUxHMUQ4BBGQGcNcND/7wPAwbKyslOR1+ZXVrYSpRbREzALBsqUUv8F5AUCZQBa6xqlVDHwd6XUDIyXAu4BPuIPSI3HGAD/T31XpZTaBozDGDfsKEaPtbcxxhVzA4/4HxSu01p/XWtd789m2+Jfz61a68DbZ8qAfymlfgMsA8Kleb4MfBLYqZTqAP7q/+/bwP1KqV8CHoxgWyBYFngr01Sgyt8zzg0cUUrtBH4CLPK/pbPVP99XY9azMEU6M8smAA/5o60O4An/gHb3KOOAcmAMGPgGgP/A2IgR7fYppb4DzNVaNymlXga+orU+DtwRbv50Wn3EGPS9qqkq3asSAzTQjJGh+UP54YU/ZGbJzOCbIMMtU6Mt91a9SEGC8cXjAThz5JmZLI4QIkF2z4gbnjOc8047j+I8Ny1dxgPYcOetXEf/HKV9113F8h11wb8jvZQFoNPTGfE7iN6wL8rrebnAFVOu4PEdjwf/vvqMq6Mud7Cxytv2suFang1lSAc7/i6HcvDC9S9w639uHXCw7INnfDBFpYpfpDdF25Xdr5t9OfNP6tUdw946eueq24B7NLrxgLOmbntO1aR61TwWxSHgIYyhjDYCx8rKygaeCm1kkC0C/gF8Ef8bJv1Bstf7T66jdbe8GfhSYJyxPvNFegtLxMwsrfU9GMGsvp9vxehmGZHW2gd8Mczna8PNq7U+N+TfBzEy+QIvPvxQyKRPRVuvyB7pfBvmVozUxr6f3wHcEebzamBShGV9JNb86fTw1odjTyRs45wJxm4baKyFY9WLb7gb10DDMBtS8rP16bNVt7ewp1Rmx2Xjvn3dH17je699jyNNR3gzp4PLr+sd+AqXHdD3d2gd+YFGp7d3sCzZBr1Sqte2GF88PmIX9HCy9XwnMi90/21ob2BU4SgTS5M62Xh+SQWlFA7lGFCwrCCngCG5Q2JPKGKKdk0cbOdZh7NLAz8Cftqo2t5+Ln/DPI/yjQC+hzF++P6ysrL0VIoRIJs68MVo18ALI0RqDK7HC0lyt1tn3AuRvERv6uzSnStws5eJ37Ng3AK21GyJPWGWGWw3W9ki0XqP5xi2Y6bDQGTTvh3I2C3KK2LC0AkcaTrC7JKe8bGG5A6hrbuNG+ff2G/e0EbrvR++N+p6QscvS8aU4VM43Gj04khF9pRZ+2S6t72ZgRKrHeeh++/dq+/mNx/8jYmlST273C+FcjqcAwqW2bFORGaNHjKa+rb6Xp/lKocCflqnmja+kL/xIhRrgf8uKys7ZEYZhbA6+3feToFY45sI60r2Zt6K3TADIv3mTIzlkOvMZcrwKWlfjxDP7X7OtlkNdqXpGQsy0D184fSFwe+Lcou4etrVTBnR/xwSGrSaOmJq1PPzQAffXzB+QXC8n0UzFzF39NwBLc+usikQGw8zyxu67mhZ7SJ7OJRDrjEWYOdtNLqwf4+QQnJVO10HXszfdD6Kp4GrJVAmRPIGXbDMzidNkZxkgl5W3I/6dhkKyOQAtdlQb8mUIRvKLWILbXDuqt/FhmMbYk432GXrvv3Zsz7Ll8/5MpdOvjT4WdSxxHKNscQeuvahmMuOlVl2xelXMLF4YsTvfdoXDM4V5BRwy4W3GOXL0ro0i9RH/EoKS4L/tuKg8YNRpbuSd6vfNbsYIobBdjwpFC/nb57oU/pN4MaysrIOs8skhJUNumBZMmaMmmF2EUSCMtEYtmoKfaS6SVWm3PxxkcbezK4gRSINuWwqt4hf37GprC4d+2FgmaurVlPVaO5LbEJ/X0FOAdfOvrbfeSnWeTeeMYAiNZ4C64+VOez1ecO+OU/OEyJZxXnFwX8PtsZ9KkhgVkDs/WB3/W5b9xbSaLzKxylHawFwa1lZmX1/rBAZIsGyOAy2N8cIQ7TGUqAx1drVSre3O4OlSr3AzUWgETrQBt8XF3yRWy64Jeq6YpUlm1mhjINVvNvG6kGNdHUBf2z7Y2lZbiKS/W2JbNNY3TBj7Ucen6dXt0+rdslPNwn6JMeO9Wb1c246mH3eGCzbJPR3rj+2nr9u/KuJpUk/Hz4N1JSVlW01uyxC2IEEy+IgwTLRl9bG2DrXP309v1v3O7OLE1O0m6JU3zA5HU4mDJ0Q9juf9sXMDDH7BjIcCZCZIx31btWM0HQJrWPTG086M9snngH+HcrB+RPOJ9eR239+7e01xmPwQUNoXco5w3KyZZtlSzlSIRuv52Jw6Xs87XXvNakkqRfumu1DK2BX5ksjhD1JsCwOl0y+xOwiiDgNpLGX7Lyrq1Ynvc5skokB/k1vjItBJRP7tNVZ7ZiM1PhOJMAQKbMsEPQKZPaMKhzF0Pyh/abzaR85qv9DtNAXFAjz9614159t28yH/TLLrMDs/VWIVNBKA8hgekKkiLQk4hAYOFjYX7w3zVZ9G2a4Mg+2Af6TITfR1iDbKXHZlA2Viu0Xzzk8nswyhYp4jvf6vGG7YZpdf9nGzPrItgBYLKF1ZcdumNkumfu5VLzZW84ZqRXuGtL3MyveuyfhPbMLIIRdSLAsDpKdIPoKdMO0g8DNWib2c5/2mX6jkkyDPKu6qg0iidZ134ZHuGPU7P1PRBd1rMgUNSxjjlkW8jAk3DojdcMUvcm5MjkSLMu81u5WVh5aybsn4k/ImTZiGuOLxie9TjlvpE4i141BUu/WHkxZiCwiUaA4SONqcIvnSZWVRGpwZmI/z6Z6y6ayiPSQc3ds2XQcDKQbYyK/I+bbMP0PQyKVJdLbMK3Cp320d7enfT2SNRO/0P1X6i3zPD4PANUt1XHPI9cXa7JLAoTWmkp3ZaSvz85kWYSwM3ucMcSg19TZxOJHF7OjbkfG1mmlG6W+b7zs9V0GG8vSCBCZFCnYIfthj2wKlqVCPOflNVVron7fK3AR4WFJaDfMaNNmo/s23Menn/p02strlfrItmu5ZJZlXuBasXTb0oSuD1bZxwezvseTXYJlR5uPRvhGA8zPYFGEsDV5zaOwhWNNxzK6Pit2wwy+sa3PzV20QFqqxZM5ko31KjfE1tB3O9nlpjgg3kZcssFAs/fzWOtP1QtcOjwdMaePtu/86Iof9apjq41Z9vqB14GebJp0sUp9ZJtsC94NBoHjvbGzkVMdpxhZODIj6zX7nDsYDLYxyzSg0ZnZgYUYBOzVkhCDVrin/Olk1QH+wwncSGTi91j1ibk0+qzJLsdoX/EElON+WUmW7duxtlnS3TQT+J2h56l4uq1nY4A/mkDZ43nRwUCYHgjIrl17ULLKsREaHE/kPiXbzp8iNqvsk8lSgEd53GaXQwi7kMwyYQupuvhZtYE5EJnMLHv/S+/R1t3GjK5m44PmcliyJO3rHSjTG30iLvEO5Cvbs0dWjZWk0xcMe3rX0wktT6nIb8MMNy1YZ79yKAc+7aPbl9oxoK3y+yMxs/y9MhVt3phPh4GMdwi9g9/x7geynbJHtG3R777Apg/RQnU4Y2dPCyHiI5llcTC9ASFiSufFL9z2t3KjoO/vyWRmmUbTHAiUCRFDOs690sDJbjEzy5LMPKtqrIq7DMl2s7fKvUKuIxeATk8nkL7rmVUzicXgE3q8pzvjMltY5Xw1UHYfnqEvDTTnNs81uxxC2IW9zxgp9qurf2V2EUQE6bj4xWosWe1GI1KmREZ/h7WqLMhq2zobPbHjCbZUb8noOu1+U5wK2bJvv37gdRq6GtK2/NAG0xkjzgg/jb8uAt3sFSquQFKsF6fsqtvFyfaTiRY5bYJv/bTqCTmDtNYZOUZkW5gr9FpxpPFIXPMMhgyldFu6bSnbarZldJ2D4YFZQ37DGS6Xa4bZ5RDCDqQlkYCRBTJeYrbK9MUvWxqYqRDMLMvAmzJ9aRzAO1FJD4Juo22fSQ9vfZgfr/xxQvMkuj/YZSBfj88TNhMqHcdHtjTS/7j+jzGniXbsxfodoVlOXt07cyTd14/vvf49bvnPLRG/t+v1yw7nyo899jEeePeBtK8n3AsjROaE1nlrd2vc8w3k/CnbGR7d/ig/eOMHKVte2J4gfT6z/UM0ja4prNHAT8wuihB2YPMzhrCqE80naO6Mv7vegZMHev2d7pv0bGlgJipsQMxfV5m4gVj74Xksv3pK8D8rjFcG1t3eg008Y5ZZoYHyzy3/5Bsvf4O61rqw36fyN2RbQCNWeSIFll7e+7Ixf4RjNXS5sbpZaa2D58N46id0zLJI26apsynmcjLB6/PS6e3MyLqs3g0zsO1f2POCySUR6RZ6/zM0b6iJJRGpZpeHaPHSWnEy/6Rqym36rMvlKjW7PEJYnQTLRFZa8uISvv7S1+Oe/g/r/zDgdSbSaNRas6Ums13KBiJasCcwyHOu0xjHpqWrJX3lyLKGubC3SDfF2b4fPl/5PACnOk6lfV2NnY1pX0cikg2wuNujv/xrVOGo4L/7ZpZFKkOijaps368A9jXsy9i6rBYsizSeZ6bZsZtY2h9gDnD5jpDmkMfniX+98iAt68X74h+78HqcGk3HnmF7moD7XS5XntllEsLKJFgmsla2NeKsLnCD0PfmrsvbBUCe07iePrXzqbSVwWqNpwArNILtKNF67/cEOVxmWZbfKAeOR8h8Q8zMhl+k81OoaN996MwPAT3nsb7mjZ0X/Hc8A3gnsp/EU/ZsEbp/pZvZ5/uBvtUwGDTN8DnD7pkv2S6Tb8MczPcWfX/7s7ueZfGjixMKVsa1nkE2wL8XByheOFJ8BB++OcD/mF0mIazM3mcMMSjcvfrujK/TCo2ieNy9+m6e2fUM0POGtG5vd9rWlw31lszNaTaUWyQuWxqdWuu4GwChmZ2ZDjZYueE2LH8YTuWMa1of0es1dID/eGTLfhaPHEdOxtZlavA1BdskcDxk6k3RIrO01hxtOspLe16ioaOh1+eZkO0PbtKtb4bv4zseB6DD05H0MsMdR/0yyyx0vk6GMurg3z7lG3a4+PA64Ccul2uKycUSwrIkWCYsb03VmgHNH+mGJdoF1cqNygCPz8OaqjU0dxljwwUyMmJ1URoIO9SbmY2aUx2nuHnZzSl/8mpXkY7tTG/DB959gE88/om49v/QbRspWJauRlY2NNiTPUf4tC/uRlDfzLK+84WWIZE6scL5LZPb2OzMsoEK1JXdM1EGq+crn+frL32dv276a6/zbtyZZTYPuqTba/tfC/t5MufRRLaF3Y/nHONh0CvA4c0lm4s9yqOB+1wuV3xPk4QQvdj7jCHsr7ychSsO9/sv3dIZUEqHXo2/CDcigRuIeLooJV2OLGiMW9nehr0cbznOfRvuM7soCTHr7XvZ0phZtmcZEN95I/T4S+exCNYI7oSKVl6v9sbdCIq1HTTGAP/x7j9WyhDJZADL6sGyTJbfaseiHeyq2zXgZch2S979G+/v9Xe6rtfxDM9gFb9a9Su+/cq3o06T4/SpbTdt6wJu9ynf+16b+Nrxdmf7ImCNy+U6KyMFFcJGMpePL0SajC0aS21rbUbXadUbpNCbEVX+dxZu7AksTq18Fe76ZFoDgfE0PrIlwBFQ01LDykMrzS5GL+626IOZZ5tfr/l1RtaTrcHYQLni2f9Dj790B+V92tfr4cK0EQ7YXW7qW2pjbcNI5wef9sUfLIsRhPT6vMHuii1dLXh8nri6L2p0v4ZYVl0ryssZ3ljFwsreD5RO3JCe9lNW/fYoYr0IJNOZKA3tDbEnEr0kc+6PNE9Gg6RZes0yQ9oyprP0IVos4bqBrz26NuZ8OUrDXcMd2+5qfGr+Q/M/25rT+o+XJ73cMefUnPmzmma953K51gH/BJ4oKytL/1uEhLA4ySwTWWeve29C0xfmFKZkvYnctFj9iXk06fxtVmk8hXrz8JtmF6GfnfU7zS5CQpLtKj3QhkSkRq5Z+2E8x1Zod6B0d7etbqlO6/ITMdBtrbVOOrOs7/7g1V6cDic7ancA8K/3/hV1eVG77GdZYziTgRirXyetXn4RXXt3+4CXkW3Htx2ku06t0g3zY499jO+//v3g3/Vt9XHN50Qr4GKAbTdtW4pinlZ6+c6RO4e8OOnFhiNFRyZp9N+AGpfL9aLL5fqyy+Uak47fIIQdSGaZyDovVL6Q0PThGirJXmzjXdalr+ykKfRtnc3mZmPEK54nd+lqINS31VPdmj2N83j1DcaaFWi5+OVtTG+r6/nglDX2OTOFG/DdzKfK8XSrDD3++k6f0n2vvJwV7/2Lebt7gidtF01L3fLTTGvda1vGyiwLrbtY5zif9uFUTg6cOgDAawde40vnfCni9IHzal1rHeOKx/VbVjZZdWRVxtYV+tsPnjzInDFzMrZukV2yMai0pWbLgOa3cnc+MHebROsNkup7LCt3w9xV39NV+L3q9xKZ9aPAGoBtN23bB1w7/6H5H+x2dv9hw5gNczeVbDpwRvMZB+eemjs/V+d+FPD5M85WACuBt8vKyiK/aUGpK4F/AF9E65W9v1ILgR8BhUA+sAm4XWtdr5T6LvBdIHDjcZ/W+oFoP0Qp9UtgMaCBH2itX/R/Xgrc41/HOuBr2r/zKKVuB74CeICva63TduFTSi0C9mqtK9O1DmGutAXLlFIFwFsYO3EO8JTWuizk+z8BX9JaF/v//j1wpf/rIcBYrfWIMMv9BfB5YGRgXmEvV0y5gorDFdx+8e2xJ16yhC1v1bL+WJ9XQ6epbJSX88bBN5j83sHgRztmj0rX2lImG7LmfvzGj9Oy3EQldINYXs70ul0sPBjSbemTqS+TnWUyuJjON7mmQsxjq7yczpD9reTw0yzcd5jlV6fnRVZNnU29/s6G5mysOgo0dD715Ke4cOKFfP+y7wfniydjwKEcMYOWHp8Hp6Mn0Br6htJontr1FN+84Ju9Psu2YFmmNHY0UvTPf7PQ//eKFZ9hzoW3ZCzAn0yDuO+14fqnrwfSn4nyu3W/41DjobSuwyxZ2+WtvJyFG4zzbOgDgx2zRzHu0PNQslMeRiUo8NbnXGduzGlf3PNiv8/Sta/sce/JyHrS7VjzsXgn1UBB3w+33bTttfkPzV8A/LfX4f3W3uF7r947bG9Lvi9/+ZlNZ7ZMb54+Jc+X9yPgJ0CHy+VaA7zh/29jWVmZkepuBMpexGirv4hSiwIBM6XUdRiBsk9orQ8opZzAnSHlmYcR1Ho5nh+ilLoZmAScDYwBNiqlXgbGAfcDC7XWVUqpZ4BFwDKl1KeBDwLz/fPdD1wYb+Ul4TbgG2lcvjBZOjPLOoGrtNYtSqlcYLVS6j9a67eVUucDI0Mn1lp/N/BvpdS3gHMiLHcZcB+QWF89YRmBC9mEoRPimz7DT4l21u1kXkbXmBqBeg00CPSSr7J8eM/1avzZH+Q8Utu4CwZKysuZt2FNr3rrGwDI1i6agbeEZpNJQyeZXYS4DeRttYnuE0tetH7jZsXBFcF/Hzx5MMqUqREa7K/+yHwWXZX5Omy697csfO8wrS2tFL33GOwa3a+h2uHpoN3T022qy9vF6qrVfObXjaw4uAKvp93od1IfPePSqZx0+3oHVfs2nrw+b9isxEiiNb6yKli2ZAnLhy7r93E6Rix7YscT2CWPLN3bMNvGxBTxSUXQJVvve5Lx4OYHeb7yeZ77zHO9HjaEM/uZVSw8EfIQsrkcRqevXKE6PZ3pWVGadXm74pxSq5WlOWwAACAASURBVLsqOhe7lDo35MMntNb3b//C9lzgC0Bz8fuKN4+8YuT4orlFV+0cuTN358idnXTyinpBzT4z98y8yZMnX1RSUnI1gNfrbXe5XCvnVlScWAxfLOjJSQgGzBRsAO4FrtZaHwDQWnuBX4SUYy7wmwR+9ueAW7XWPqBGKVUMjMXInHtda13ln+4IRiBuGXAH8DmtdbdS6l0IfylSSn0UIzA4BKjTWl+llBoD/AGYjhHg+7rWeq1S6laMwNsE/2/4m9b6V0qp3wCXAo8qpbYD38HIuJsIDAV+qLV+MoHfK7JQ2oJl/lTIwOPYXP9/2h9lvge4EfhEhNlvAMrCfaG1fhus+2RAxBa4MY03CCb7QvxC6ypwk1aYU9irEZqKhsFAApiZCn7Gm2EWz8DemXbVGVeZXYS4jXjoCRYe7nNTbOITeyt1wah0J5fVn2z3GrMCO/GMzfbfz/x32MbCi3v7ZyhE43QYwbK+3TgDfNrHkaYjnGg50evz96rf4+zxZ4ddZrR9KquCZRlUkNMvscFaQjKPgPR1e++7HqDmxo+nfj0ibomcPwcS7LLbvWsgW+x483EmD58cdVod5rwYOI+mu3tohydy78JsFn+wDKqafDEjgi3bW5patrc04WDP6GtGrx1//fginadv4jqGb6/a3vTSH1/aWtBZoGfMmDHiggsuOHZ5S8v8j69Z85Ewj4+HAC9+Gu55At7TWu+Isto5wFJ/Es3dWutHYxSzEyMI9q6/C+cIoNX/+Sx/TGE6Rkzhp0qpGUCx1nq3f/4ioF/FKaUuxQjiXaO1rlVKjfd/9SDwU631RqXUXODPGL3e5mMk+VwLFGN0Lf0V8DuMxKDz/cv9NfC01vqfSimHf1phcWltBfp34k0YO/KftdbrlVLfBl7QWp8Id6FQSk0BpmGkfQ5k3UuAJQDjxo2joqICgC0nt+CuN94kt3nzZjwHjJv0wGeB6UJtOWXMs3bdWsbk9x8DsaWlJex8In6BOmxpaWHnpp246928s+EdjhXGTjvefXA37pbebwdUSsW1TdxuNzt37aSioYJ9Vfs40XYiOF9jdyPuejfvvfceeVXG5WFCZSXFnmI2TGoNLuP5s4t538yZYMI+EFpv0X7vsePH8Lg9VLdVs6d1DxVtFXh8Htz1bq4ceyUr61eyY8cORteOZv+h/bibjfrctWsXFQ2RlxvJgZYDxjZ85x3cxW4mVFYywjeCY20929PZ4uxVZq017nr/9nAnvs54tLS0sK9qH+5Tbvb49lDRGr3uJlRWUtNRQ2tLz/Z+a9VbFDoLo54z0uHJs0ZyvL2d+cPn8+7p5+NfeUbWDb33tRUrV7D0yFKuHHMlk4ZEz3LznqjtVX+VlZWciLPcR9qOBOsZILclN2p9h04LsH7Dek4M6R302HN8D9WN1SnfbuH2o8BngXKtWrWKITlDIi5jQmVlr7oKcNe7qaioYKt7K+56N6tWr6I4J/I9WH1dPbv0LipOVUSchpkzWdrZexnvr2nP+LWspaWFwweNrDKvz0trS2u/fWTCsmVceMwYX6iwwE31sWe4rMQYT2z6fqMr6XtnDgMi71+7q3dz2fM7yXHk4vF1s3vj/+DAwYnFi9nWuA13vZsD3Qd4peMV3PVuPr6mptf8rzz/fyg47VpOLF7c/zd4WoLbeOtWYxutXr2aYbnDaPe2RzxXHDx8EHeTm03vbqJ9X/yDjcd73g+n7zECcLjjcHzXy5DfWHC0fzCs1dManKauo46xIfvy9KHTEzr2B2rP8T14PJ7g74pWV7tP7MZd72b79u2MqjEyLUOPxTxnXtrKHu6YP3n8pCnH4UDXGW4/316/HXe9m0oqqWhKbvnRyhZY55tvvplQNmhovXd29sQVWltaqaqqQtfrmNt777G9VDcnfy2pqalhT4dxHxKPgW6jQHn3tuzFfdLN7t27qWhMfnl9y1VbZ4xDdsdTd/C1M78WdZ6aE0dpbe19X1DjraHV08rq1aujXt/C2X9kP+5GN5s3b8Z3sHcgru8571D7IVPabKHbL577x77T7Dy6E/fJ6G9CV82KyZzJgx8rvO3Bd7uW9/1ea90GlEaaf/5D8x8EniyYXDBz1m9n3bztpm3bAFwul7r+pz+tcvoiPvwZMs3Iqgqm8fmHW7oKaNFaX+QPHs3RWlcrpd4HvK2Ueklr3RRhmQDfA/6slPo6xrhk+7XWzUqpJ4BrMGIMmzDGQNsCvA/YGvqTgO1hlvt/gTu11rX+eqlWSl0AXAY84I9PKKAqZDk3a627lFI5QOAtomf1Wd8x4Db/b30qxm8TFpHWYJk//XKBUmoE8KxS6grgOqIcqMD1GDtY7JGQo6+7HCgHOP/883VpqbFKfVDzRocRhzvnnHO47PTLACg5UQJAYLpeDsGK9hVccvElnDbstH5fV1RUhJ9PxC1QhxUVFSw4cwH/af0PF190MdNGxh5wumpkFSd3nuz1mUM54tomJSdKmDtnLqVnlfLuunfpqusKzlffVk9JfQlnn302pWf6l1VayvL1f2L1gdeCy5gzZKxp2z+03qKV4YnWJzh9+Ol01ncyY8IMSt9fSre3m5Ia4/dv9W1l3rx5lM41llV/wnjrzpw5cyg9K/JyIympKeHZ5me54IILmD9uPuzZQ/2Rek5V97yleuLEib3KrLWmpNq/PeYnvs54VFRUML1kOlWHqpg5fSalF8Sou9JSmo69w+q3el7mcMvlV1CUVxT9nJEGz3U8R+fJTmZNnUXpxZlZZ6jQfW3meTOpra7l8cbHWfaR/t26Qh1+53V2dfW8vXPmzJnMirPOKusrebKxJ4P9tOGnRa3vwDYJeP+F72fW6Fm9Ptv1zi5qq2pTvt3C7UeBzwLluvzyyxmaPzTyQkpLWf3onn4fl2DsZy17WljbtZYrLr+CYfnDIi5mdM1o5syaQ+mC0ojTQP/6ChwTmVRRUcH0M6ezpmWN0Q2zuIhZs2b13kf27KGosQiAFloYP+4MigqMYFZ+vtHQLSo2vu83r9/BzQdp9U+TTx7TzphGQW4Bs0pLyTmSw6ttr3LG5DP4wIUf4C91f6GouP84ZZGWXdtaS0mdUZdnnXUWqzpXcdlllzGqcBTNnc2U1IY/V6x+azW1x2o599xzuWjSRQnVWTzn/XD6bnOAKWOnxH29BOM3lk7vP31TZ1OwHuafPp+3Cnquy9d/+D6mjJjCrH5zpceud3axvXF78HdFq6sDmw+wa/eu4DUQ6LXPlRSWRNz2AxaynoAZ02dQelEa1hVFKu5jw10TT+0+xfru9cyaNYvSc5NbfrSyBdb5gQ98ILEs8JBz7eo+X1108TeYNfUDMffVHRt20HCsIel6+3vD35k5Of5z7kC30bb122g80ciMCTM4dOAQs2fPpvSc5JfXt1yBbTFm+JiY5Xz9P/dTp3peWHTmjDMZN7aGxs5GLr30UkYWjowyd3/vrHmH40eOc84553DFlCt6fdf3nHfO6edQemn08qVD6PaL5/6x7zTvrHmHw87DEacHmDh0ItQqgOhRNb/5D80vAi7ACDx9DCOLi6FdQ/+18PjCS1wu180YAaH5j3zucyNuWLqUvO6wY8O2vQWPh36gtb5VKfUhjIH28XelrPb/e7tSqgMjKy1iQElrvQm4CEAp9UPgKf/nnRhdNFFKnY5xGK/DiDGEXryvBZaGWfQC4O0+n52NkdjTa4BlZUTOpgDb/B+dRU8ArlewTGv9J6VUBUYPuW1Kqela6+weTFfElJH+RVrrU0qplRipjNOBff6o7RCl1D6t9fSQya8HvhlmMSkxkLRnu6VMZ6tAWrsZr3cO152mb5q91prRQ0Zz5dQreXLnkwlf1LNdWsbQWLKEfVvyWb6rgaunXc2KgyuYZJGxOrLpLV6Th03mprNvMrsYCXVl7Dul1tpCHSEzb/KwyVQ1VcWeMAUWjFvQ641wZu3rHV/6PMtfMDLwfrHoFzDtytgz+eWUXsV71VtYfvUUFoxbAHGOuba9bjvnTzy/3+eRuk2OLRobcVnRApeDtRtmYW7vtwibcT2PV6zzWazxl1Itm645dlaUW0Rrd/9MXjEwowpjv/RqyC3fYfnqXwX//sp1X0ItWwekf/+fMWpGWpefavVt9YweMjqBbpgKwmRTzX9ovgLOwBhj6yI0FwPzUTjR6BFdI9yT2ia5J7VOKin2FH8e42V6zRhBoscOTZu2bd+MGe1zd+68DyPIFdAGLFoHJ4HnlFL/q7U+7g8yfRB4F0ApNU5rXeP/9+3ABn9GlxP4IfBzHdI/15+dNVJr7VZKnQ18FrjC/90YrXWdUqoQ+CvGWzK9Sqnd9GR2zcEIlp0XppKqMQKDa5RSQ4Fu4ATwRaXUz/wZZGcAdRij6R0KKVtogGwqxssMUUqNApTWeqtS6hhGPGNAiT8iO6TzbZhjgG5/oKwQ44D5tdZ6fMg0LaGBMqXUbIw+wevSVS6R/QKNi2RurqePnM6+k/tSEvCJdAMduJB//uzPs69hH23dbQNeVyb0HQ8i0g1Juhp3Gk2eM4/h+cOjrj/bBPalK6deafpAzOOLx1MypH9mSKYl8tKD+s/+H5ZX9Lzy/Ouf+Wrc86ZrH8nmQZXPGHlGMFh2+emXs+pI2t54zughoxk9ZDT1bUYmaTbXy7D84TR1Nvb7vMCZH/x3tLew9d2Xwr0RU/v/F84nZkcaYtUYn2vZDUaG5Sv7Xum9njiS5K00jl68+l5HzHjYGO/5I+x0IS9DmDdmHp/+rzSNs7hkCWpBN6/s79lvrk7PmkQfH53xUZ7Y+QRPXvck1z15XfDzjI1ZZrPjPnCPdN7EcLGJ3vJDztsAzZ3NtquPVGnpavn/7L15fFTV/f//PNlJAglJWMK+R5awiLiBGHHBtqL9amvVtlprS/tR+/l10W62htjF1qX102rVaGtxw30BF6KCIYAgEJaEJZMEyAJJSDIJSSb7cn5/3Lkz987cmcwkM5OJzovHPJjce7Y5+3md90JKbApNBuufEfqkkKxr6gBIX58+FkUV8gokVyKYAhDeF96b3JkskjqTwpI7k0nuTO6L6ouqRSHGCqz/FwLlmZmZ9k6emQlClGH3htkGXIOUn0ps0l+bhRC9KATUPuAFK3H2nhAiDugBPkeRvgKFzFotpXzA4aekANuEED0o5Nb1UkpVHPFBIcRF1jwel1K+CCClPCiE2AkcQSH6bpJSthhU08+BJ4UQ0vobVgEfAmuAI0KIVhTy7DoUFcyDmriLsEurfQA8bjX9dD+QLYToAzqAO6WRcb4Qhh38KVmWCqy3MsZhKJ44+rPEexPwinRYfYQQB6WUi63fH0Ix5BcrhDgFPCulXOfz0ocwZBgIWRYuwnnnpne456N7/FUsHYbrom5UbsdDjL8Iij7Zh0AMG5LMEWrd7avax6XTLh3i0gwtVFLCkzEabARMsEsIa+vL384lHMdi0EpBrV1L/odHOHFWsVN2980vkrNBsR2WtOAycg7XAP33R60H3lnLvgmzrnYKo9bB1Hv/xKLxi7jrg7t46IqHiBwzMN+OansO1zVjoHAc98Ph97uaG2IjXdsZ9AW043BMrLNd3BD8h3AR7uSMwtM1K9jXkqHCQNaRGktNqD5dQJ07j9Uf8yh8H0Kmr09fANyH5EYEYRF9ET1j28eGjesYR0pHSu/I7pF7wwjbiUKMFQBFmZmZnnk+kPJThLgGxevj7Uj5qf2VfAl4yUXMZS6efx+4wzkbWYsLT5ZSyh+4Lp78qat3mjB5GDuCNjK2t9H6UePepvn+AYq0nooF/eUdwvCDP71hFgBL+gkT7/D3OhfhFmu+/xLF4F8IX1B4S5YFmnxR1MiUxWs4HAC8hb/IDdX7nNq+rvIJ1IbJk9/ZJ/soO1sG2Mv1yK5HvvRkmQpP6zBQiAiLYNLISZQ1lQUsT3/CSAXc19DOYcFAZHs7/rV14smacfXMq9l8fLOTZIMKtb9GhkcyJWGKTWJsoLB5d/6SHQQd+1Iwq2GqcDW+Jo9y79nPlxCIoLtgGAwC5t16AHXWJ/u+dOPSnxjMWp8Sm2L7Ppj+7yquVuU2GNY5b+Dt3NmrdOpCIUX79JbpjdMs05ITuxJPhRH2JorzvB2ZmZmDMzyvEGTTBpWGLSnp3htECCEMMQJisyyEELyBtwuZSsKo3/2N4bbQgnf14k81zDARZivLcKjHDYUbeOXIK8DwOOwFI9R2Xjh2IQW1Bf2Edog7yPE8HPqYI7Tjz1X5fXUA1RL/jnkPFTz5bdp+oS2zJ3HVcexKPdLXkmCDMSsw3OCqXYId/bW1v+cRtd6eWfMM9225z695hWCHRA5qnPtijhiOa5QrDGTMq6YGtNJ9vq6TcXHjmJ00mx2Vjq4cvpjoAxHdG/3hVaevuiS6L7oJ+P+AVzMzM3uGumwhhDAcESLLQgg6qBvHQBvVdQWjhVt7GzmcboGNblEDdfPrqIY5HOqtqL5oqIsQlPCm7dSw8VHeuYIfCDzZrA8nadDvLvwu28q3+S19x7ktmMek2rZrz12rK7f2uyeElBrG1W9V0xssuaWm/2Uiy7RwrN/h+PtHRo2kpcvI3I3vkTQiifHxiknfLxKBEszQXrTqnntjsyzUVjYY2YHsD1r7p8NpbQ4kvJ87BV859ZWoCBnRDlyamZl5yh/lCiGELwuG3+4lhC88bGorAV44nWysuBDP16lhDkMRfpeHRIfDnT/yDRNhdjXMYbbJDG3knOFJGwZSDS2YyR7wvL4mj5rMxps2Mi5+nN/LpCP+g2BMuuonfbKPiyddzJq0NbpDmbdqmO4gpRx0f3WcJ4KNLJsQPyEg+QSDgf/hAu24C9VT4KBKu39Z4O/53RNnJq7gz7IF+77A55BCRsiIy4EnQkRZCCEMHl+eVcKKzyo/G+oihNAP1EXT003jYETpHRdoT/KUGN9GDlc4/paShhK/5KPaB7GpYQ7RBmag+Q71pnq4bvhs4zmIyMZgIIXcQSACRi4GmxqmK2gPttpyar9fP/f6AaVtVAe+Gu9DdfnjCgkxCQHJx7EvDcX86bVJBxfhAzH3fpHtoAYrVGl3RwxEcnq4wJ/9ayDrh7Y8vjCn4tJ0wTDesw9EsswKk4+LEkIIX0p86ciyXad2DXURQugHAzms2BbZAByCh9vmCIzrxdXv6O7r9lsZBMLlhiroCYwgUL0djgcpmw2oQJA/1n+OeWsR7JvmQEo7OBL/wTy3aY1xayUY1Pb+xUW/YGbSzH7T6a/9d1bsBKCqpWqgRdUh2CTLAtXGThdRQTx3BducEMzjMFgxkP2DKzVMT+GLfhNqa9+gv7bQObL5Ate5lBIhw0RE18gW4KdZWVmjhrpMIYQw3BEcu7chQjBv3r7MqGiq8Cr8UCx8weZBzhMEklA0gqqGabNZFuz1lp3NuJffZfWWclZvKWfe2zttrw6dOTSEBRtecJQsC5Sx7OGKQEp3DSfJMq0UiFYNczBkVGVTJZ+c+ET37L+H/gtAaUPpAEuqR9CRZQGad9VxmBCtSLIF2gapL4gM1V5ZIOpMLa8QIvjXxgEgGOdlV1oJgar/YCNpAwl3dfxF7P+DgdceopEywZzeHd4duxTYlZWVtcI/JQshhC8HQgb+Qwg6bCreBEBtay1JI5L6DR/ohXU4q2F6SxD7coOrSoYMF5tlPX16x0Hxu/ezujYSgDMH/sDqhnJyLp86FEUbVlDbeyCHZa8MLX+BVGcCNb84SZYF8ZiUUtr6kM5j6ADbUiK584M7Afj18l87ve/u9Y2Era8cBvgKRoSoP9pdzScrI4uShhISYxJ9noc/cbLxZMDyCvb56IsK9QJvoAhduA8e2vUnVJ/G8LaP9oR1IgjvSqxf0t6UVJjUE928PSsr6zngV5mZmXX+KWUIIXxxERy7txBC0OAbc78BwMSREz2OE8hF1lEaIwTPoKqXDbXNMk/heFjWekXzl123LyJsapgBGjPnTzyfkVEjA5KXt/CkzwdyfnEsTzCMSVe/XSdZplHDPFBzAIAtJ7Z4lX5dq/szg68koVQpuGAhy6SUpMSm+D8fKwE3Jm4MV8+62u/5+RoN7Q1DlncwjMMvA1yahPDm4iWILxiGG0L7at9A0ieB5YKw2oSGhaNiWlNfA74LmLKysn6VlZUVGMOVIYTwBUFw7N5CCEEDT6TJ/AFPNz3DWbJMC8ffW1RfRFdvl9/yUw+7w0UNcyDOH0JwxmC8Cw7k0BIdEc29F9/rdV7BAnfziz/GTLCpYbo0sq6pl96+Xo169A5Wbynn/PcPepXPK0decfve5wb+g2T+6JN9zEicwaabN/l1rQ02xwbuYFTGQJKbOm+Yw6C+vkgYlGTZIMd0qK2NMSgD/yGiGYkUdz216gSwQiCK45tnXZ9Qv/A3wF7gL0BFVlbWg1lZWeOHtqQhhDA8ECLLQhh2+KzyM/ZX77f9PVgjrd5CuxgPp82OsP4zeg6wp2oPj+953C95byvbxpaTW5wM/Fu6LD5Td/IUnhIOHd+/lZzLp9o+h9NG+7lkX0wESg3N001ysI9ZT1SD3M13je2NnufVjxpmflU+2fnZHqfnT9S11bG9YjsA39/4faf3k0ZN0v397P5n+e2W3zqFO+etPH7+xAHdZ9zL7zqF81U/CUabZYHytArB87u9hbbcAfWGGSSk6pcBWqchA0WInBkY3NXbQC6Fgn1dHwzChSLlnJacZvh+5mi9Y5uOMMWEyF1PraoBMoCdkd0JD6dUX/I0cB6wGfgVUJaVlfX3rKyswBqUDCGEYYbhuYsJMEKLYXDhwR0PkpmbOaRlGM4Ls2N/1m4WS8z+US98ZNcjgHIA+ca8bzB51GSklNz85s1c/9r1huUaajhK2ez+6kIdeTbU9sqO1R3j1rdvpbWrdUjL0R8C7X1PIIb1gXMw0mOmehO3vnOrk709l3lZ2+YPl/0BcO7z67ats9mQDBSmJ053+e6yj0ogO5vVW8qZX9TA/CK7qlyyRrXw3aJ3edf0LoW1hR7lqdb4yPUbbBJrS9/Lh+zBE4U2sjgA260D1QdYs2ENlU2VrsszSDtNniLYJOq8xVCWO9ilrr8oGGoD/180DGStH4q99HBt33lj5nkUrj2801apdz21qgm4GjgK/CYzMzM/MzPzW0Aa8CbwUxRCLYQQQnCBkIF/LzCcCZIvMkIG/n2D1VvKSYg+S1Nnk+3Z7KOfwuftyh9r1w46DyEEUxKmMH/MfPIq8ozDBMpeUz/9xpE4SB+bzo7KHf4skld4oeAFGjsaKWkoYfH4xUNdHJcYjGTNgG6YPRibwbxZHozNMm89CYMy3haPX8zspNlDTlivmbCGyQmTXb6PCHO9ZZk0ym7j8q2it1yGM/qN0g/qp2ofO9F4AjDu/76u7x0Vyvx0pO6Iy3rU2n7zJ4Zaom4gv9GV1Li/5wvHNnHsF61drRytO8qyicv8Wo4vG1xpJQRyHgzmtSiE4Ym2cCdzKhOBccABbTBAFcceG4BihRDCsEVIsiyEYYvmzmbqWuuobqmmo6cDsG9yfLkBMTKC7W5jG4wwKqOR4Wl/2yxS8xJC0Nbd5te8BgvHurhz2Z3866v/YmzsWCLDIoeoVHaobVrXWsfm0s1DXJr+4e8DuqeOBIKd6HZrs6yfuUY7lrVG8D3Na6gPbpHC9bh6+MqH+fbC79jq4Mg5SRw5J4mcy6cy69cPKWR+djbdTz7BsvcO2CTEVOkwNV6fwW/s7Ok0yHFg/cSx7Z7OfxoIDGmk5vFByQcuw6iOVvwNraSnK+yr2heUkrFNHU0BNfDfJ/tsDiWM6uuPeX/kgbwHqG+rD1iZfI2hnluMoB0La89dy0/O/4ntuScY7Jo21GtRMO1dtcRlMJVrOOJsRDvff2p2KsATP976FWAfynn/ZwBZWVlfBQ4BS4FbMzMzNwxVWUMIYTggJFkWwrDF7e/e7leD9K42QjpjvEF+8DaCWn6VDFLtIYDe46M/YLPLMgykNB3JsuiIaCYnTGbG6BnUWGooayrzW95bTmwhPCycjGkZLsOo7fiPPf8A4PLplxMZPvQkniMCJWFiO5wHEfkzEHgiWear8aPNK0yEcaLxBBVNFUxJmOIcbojnunNSzoGoPBuxdU7KORTVFwHoxonqHdMVjnz9YjanN+ueXTJlMlSU6Z75+td29flvrVKhjrGTZ0/S0dNBTESMU5iBXogcrj3sVXgbee2i3zS0N5C1LYsl45fwwGUPDKhM/sJ33v5OQPPrk326+bG8qZxn9z/LHUvuQAjB4Tql7ps7mwPiydSXGOp5wx20En1r0tYMiCAdjmuMvzBYSfDBrGvB3M8CjT4haQ4L/+kTP95qAbJQiLEb7npq1YmsrKwfAk8DhcCNmZmZpqEsawghDAf0e3oRQoQJIZYIIb4mhFglhAiJa4YQFPA1UebNbZarhbm7t5s737+TgzXeeWYLFLTlHgo1meG0oXE8VKqkYiB+w2OfP8ajux51G8axfEO1aV+zYQ2vH3nd5XsjEssf8MpzZhDfXPtSzbu7t9vtPOnoha+xo5G7PrjLbbghxdq1dN3xPXIun0rNLdfa7AZGh0fbgoyKTnCbhJHEnToHau0RRt/5E5+ontvyCIAgv6f9ZiBz/m+2/Mb2ffep3f3axTNaX/ae3kt7t6LWr/bL082nvS7LcMHxhuPc89E9/UrPackyIQSVzZW8a3oXc7tZF06VBv+yok/2sbNipwtVau/nqMGovMPw2s+E8MXE7KTZTn04rjeKjo5ZPwIeAF4ClluJsm8C2UAOcFGIKAshBM/gcsckhJgphMgGSlFczd4M3Al8IoTYLYS4XYjh5+bo8umXD3URQghieLJxclLD1Bwka1trqWyu5Kl9T/mlfL6EemhU1T8cjdfnXD6Vkm9cphwYDQ6NLZ0tvH3sba82qeqBwNB+T4AO5J6WVw33o6U/Yt2l62z1BMFBHjiSZf5WoXWHlwpfcvkuW4cYhAAAIABJREFU4JJlw0Bq0R0Ge4DTpnPHxju44bUb3IbTHtJdIZgO6ar0a3NnMxtu2MDGmzbqyq4dp0YwGieJMYlOz1x5HvMWV864EoCF4xb6JD138GSMqR4Ae/t6bZI03hIN+dX5NtLLXT6gjMcPSj7gzvfv5IG8B/jbrr/p8gwmwsHVvD5QddFXDr+CyWziaN1Rt+EcJctUvH3sba/z/CJjk2kTf9n5F3LLcn2SnquLCW/GQ1t3G68deQ2AFw69wGO7H/OuDEF8cRMIaNc6mxpmEOyvhguM9gqRvVF0irCEaNFyL3DrXU+tUm2e/AOoB67PzMwMbjsoIYQQRHCnhvlH4EngR9JhNhdCjEMhz74LrPdf8UIIwTsEYpF1l0ewLvJGRIIqGaBVw/QUBWcKuG/rfQDMTJrp8UHQpobp5oAULIcnlUwcHTOapROW2p4LRFBscB0P/YEkNBz7udsxYa2rARn4H4h3rSDpP0bolb28fuR1rplzDSMiRxiGGYxkmaMKamNHo8uwNZYajtYdZUzsGMDePkYkUa/sJZLgUPFt6VTIsuMNx4mPite/XLuWypNbydl9zPbo7pv1RL8RWRYXGef0zFf9SFWFDES/1I4xV2NH9YaZV253sFLZXElnTyfREdGGcfrLyzAf7OP+yX1P2p6XN5XrwgUDud1f21RbqsnalsVDVz7kcZpbT26ltLEU8MyZjFqflc12T6aOkmVDeSESDFBttp3tOOuT9Bw9w6p9sbmzmdvfvZ37V97P9NGuvfOqeKHgBW6cfyOvHVVIs59e+NN+41i6LDS0N1DS4B8P5KDs8Xr6eogOjw7ouhgM+6MvC4QQOE0vMpzYiDP8YNytvwfGs44NQCHi5w8DjwIVWVlZuYD6OZaZmfnlnlxCCMENXJJlUsqb3bw7A3h3fTKEsHRZbDZXQpP48MH33v0ej61+zK13NF9ge8V2vrXgW17FCeYD+brcdSwZv4TrzrlO91xb5vq2eu7YeAcAsZGxiiFsB6gqTkZQiTKgXwkDsrNZvUdNvxxOZStmRYcY/c0FQ+3NrT8E01zmrixaCZNAlMEj6dAhIrX3nt7L8wXPU22p5n8v+F+n961drZxqPsXEkRMNYvsWP9z0QwDGximWFbp7uwEwmU20dLYwMnqkLWwwSZZNTZzKuLhx3L7kdsP3/annTxw5kfFx47n7/Lv53ae/MwyzeNzigLSBr+GJsxbVTlN3X7ftWVNnE3/d+Vfuv/R+j/Pqbw20jXuHcOr4DIh6tg+H+bH6Y/0H0uDvu/9u+94fyeXKQ6njsy87WTYQlJhLmJU0y7CfuarPgzUHqW+r5/Wjr/PL5b/0S7n+sO0PgGJf0F94v/h9nj3wLBtu2OB8sTDEKKwtBLA759IM1vu23sdz1z03oHSN1vbatlpm9s0cUHrBjgsnXcjOip26Z5G9MZSNaLX0wIcR8FPgF0Dn/fJvB6sZ++ExZo88wZQVZkZ/o1PEAHRkZWWdAI4bfMoyMzP9b3AzhBCCGP0a+BdCHAcellI+pXn2npTyGr+WzIeosdQot/UIw4k0mA6dIdjR1dvFRtNG7jrf2YaOL3G65TQvFbhWI9P2mbKzZeyt2qvbxJ5uOc1jux/jJ+f/JCj6Un51PvnV+Vybdq3hBnHBO7t45d//ZbX172mVH1HoTQY68guSyt+EX1/gVRmDQZqgP7gjywJFthyrO8bcMXN1z7aVbeORXY84hQ3Wg5Tjobi9u11HxPg6Hy2M7CoNZd97fO/jAJxqPmX4/t6P76Wxo5FJoyYZvvcGns5Fan1obXllbcvikavsfayyuVIxsB8EiImI4dlrn3X5XiX9XCEqPIpnrn3GbZgfn/djr0mcvPI8Hv7sYa/i+Bo6yTIXc5Qqueg4DvZX7x9wXob5uFAnVuN5Q24PBO7ar6u3i+7ebuKinCUK/QFPyDIj9WHH+csTD7ch2JFflc+6bev4n/P+h6/O/qphGJ1kmbXPqA4V+rskGIxX9FMtxmuAP+BujJU2lFLRVMGq6asCVh6At4sUFePc8lzbM7Wc9W319PT1EBE2eB90ZWfLANh1ateg0xpqbD251enZDXNvcCLLYjpG0SdE/JLpUx4qPFnxM2AFcL6AZROoXTmB2rjLUeL0yPBWC7GWRhIS60m6sJaU1Y0kRp1lFC3E0yWiZFZWVi1Qbf3UaL5rPzWZmZn93Jz7DkKIHwHrgDPWR4ellN8RQvwMxeun6q3jcSmlyw2DEOJbwG80j+YAf5VSZgkhMoCHgWhgF/BjKaUUQowGKlDIRIAKKeW1vvllhmW8BiiRUoZszA0RPJmJuoHLhBAXoKhkdgH9XrkKIWKAPJROFgG8IaXMFELcjcJ0zwTGSCnrreEF8H/AV4E24HtSSqfdmxDiT8CtwGgppcdXJa5sQoQQXEjdtInRCR2srlDImPmFOzm7u5XyG1ezaPwiWzgjSShasmGK82NDZGcr6aikz/ZsFsaPp/QSu6cpp812djbv7XncRjLRkk3jlEY6ejrYcnILX5v9NZs3wmAggxo7GkkakaR7ZnSA8Eb1xggD+aWO5ejq7XJrJH4o4IosC6RU4bbybTqybMmmfRSefd3eB7FLAAabCvD+6v1k5mbaxsKBasVL4S1v3cKmmzd5lIY3v8nIBtJ9W+/T5dXZ08k7pnc8TtMncCCXAaYlCrjSOaiqgjXQ+cPjeJoyCSqgQj93VrVU8cbRN2x/3/vxvR632VBDKzE1Lm6c7bs3fWkgY7yx3bXKa6DQ3+H9/k/vp66tjoqmCtLHpuveeUu299fXJNJwz6WSQq4kzwIB1Y6fv/q0o1dFl0RKdjZnO86SUvAWKQDl2aC5R9h9ercueLBeiHiK9u52TrecZlbSrAHFV/uKUT0Yje8zrco5WiVMHJFXkaf727FPuyUns7OZXZ7H6jPKPPrElkXgRhrfEXGRcTR3NvcfcBDwZM77Wc7PAAJOlmVMzSC3PJfrz7met4reIqc0hypLle19UX0RC8YucIrX1dvFycaTpKV4ZlOyv3m58EwheeV5jIweyU0LbiIqPMq7HxJANHU2OT0TQjjNodEdo9Wvq1jX9AjwuvUD6xLCgblAGjA9gt4ZibRMT6RlxnROTQN0FdAjw7vbiIm2ED+piZGTG0mIPsuo2GZGhrUQz1lG0cYIEIKsrKwmoNb6qTP4rv2/PjMz072XGOUHXgY8B9yOlJ9q3qQDv5NS/tshxnwUUuuDftMGpJSvAq8qWYk5wDbgMSFEKvAvYLWUslII8RZwDbDJmseHUsobPcnDB/gFis34EIYInpBlbVLKbwkhfglsF0J8E8+E2zuBVVJKixAiEtghhPgQ2Am8h6InrcVXgNnWzwUo9tKMxFU2AY8DXin6q4trMEj+hOANBC8WvEjOmO0ebWwH2r4DXSBVmySg9DFVQu1UyynyyvNYOXXlgNIdMDSH4EMFd3HZ9Mv69egWGxE7qCy9Odifm7oU8vKYebKX1XV2AuEP4/7AwTOKB9FgORC4JMsCSIR6Y2Q82Oa2D0s+BOwb9rKmMs8jZ2fT3dtNXv7TNmLQnVow2dk8ZyWyp5Z8RGJ0oo78kVJyuuU0Lxa86NVv8Be0bVViLsFkNg16rmhob9AdCj0lh4zsGbZ0tbD+0PA0R7pw3EJWTllJXkWe4ZjwhJzxeoxnZzPu1G5WV2lI0etcB/cHaiw1vHHMTnAazaMHahTCuqShhE9OfKJ75y1p5YkaplEYdT5ViYhguFjypAyjokf1n1B2Nq1drbx88DndhYZc7nos1lntcHmCYFkbvYG2bm9951Y6ejp4/Zuv22z5eYrevl6bo4Rdp3Zxwzz3jkvAWYrRhuxs+mQfq/dax2tLtuE+qb/6LjGXML+owfmFSyM2dgRCLTKgTjSys1lqyielqZxpxR9Bap3y3MX+c2riVCiHlFjlgvqVI6/o3ruypfuzzT+jormCZ9Y8w/j48f0Wy2gdXH9oPRNHTuSiyRfx262/tT2PiYjhxvmB4j8GD1f7w4i+aKQUJ4SQFzu9XNfUCxy2fhzeJYQBqcAMYDIwMYLeiaNonTSK1okTODMRSMDBOWAvoqtdjjjbQnxbIwnUM3pcPcmT6xkdX0dyYo+INJRUycrKagBOA2Waz0n1+++zshaHKXxBLPAeQlyjIcwWopBojpgHeG5cUo+/AA9KKZusXMcnUkrViGQFCkm2yZpHqYs0bBBCfA2431r+OinlKiHEGBQzVrOAGOB/pJSfCSH+F1iEUv/zgKellA8KIR4ClgMbhBCHUYSNngMmoFyt3CelDC5Jgy8gPCHLBICU8iEhxH7gIyDJfRSwOgWwWP+MtH6klPIAGE7e1wHPW+PtFkIkCiFSpZTVDunudhHfLWxkmcHEWVRf5FVaIQQOMkCbQ/W2u79+lRCdYHi7A0of094EP/zZwyyfvLxf72z+wpG6IwpZ5gT9GIiLinNPRBggMSbRZmS337G4di05IxWi84Zr/gwbNnFkz+O21/OLGpiTU8Q4s7Jxrd/yZ048fD4zRs/wqky+hjvD9IEiptp7PJdqD+RBKurf/2X1ATsxIBBOB4SF7+4mwcGYt00KTvZvxP7p/KcHVLZDNQdZPmWF/UF2NiX1xXx04iPigdX0Q7wFGD//6Oes3lJOGWgO2OVwfKrTQcMdAXbbO7f5qYTDC7OSZnHv8nuJDI+k4ExBwPJVbfAMFVQbdCrc9RVFMrtcpyLw0eXTXIY3UmfuT1L/eKNVQ8VBsnJMbBvyasnuU7tdxPQvtHO34TykKa+WCDlyThJ9dU8R9qMfu03/TGut0zN3c3NXT6cnxe43neEA1T5VR0+H12TZhsMbMJkVLST1f09hVG+uVOH7i6eFN+uzI66aeRUlDSXMSPT/Pmd7+Xaeyn/KZx5++8POyp3UttYyJWEKcw3el58t54WCFwBcqlq6ml8qmisAeKfoHX58nvNY1O3NsrNJaDjO6lL7/KOu/R+f+JiLJl+ki9ufCn+w4ZvzvunyXUdlVwq9PZcJIXKtj16TUv5LCBELGEld/VdK+V8hRCfwB4P3j0kpXx09QkwZFS1emZ4YFjU1ISx62mgRMz0xLCZjWu+paYltI8b2nZk5L0zYmODWLtn7URlnynvHPdc895bNJcdPnF9RUfHDuLi4qNjY2Mj4+PgJo0aNmjF69GgRFhZmu7mfdvIkPeHhRPXY1h5Hwmw+8JwQog+ol1JeYQ03F3jZKqTzFynlBk/qUghxMbAAUA1YdwJpQohwFGLrFuAB67t5wDVCiK8DnwF3SSk7HdJbDvwJuEpKWSuEUJndfwMPSCn3CSHmAU8Al6FIyo0Gvg7EA/nAg8DfUASPzrOm+1fgTWtbhVnDhuBneEKW2Sy+Sik/EUKsBjzalVs7WT5KR3tCSvm5m+ATgUrN36esz6qNg3sHdQI1OuR29nq+WQkhsOgIUNvMGzOP082n3YY53XzaRpSlxKZAXh6rY+yLcELVqwrXr8F7xe85GdofKqg3vAXXXci2cnu9/vhbP4RXPZJYVrB2LYUfH+dovXLLu+yS/4en273EmETD51Hhek97RfVFQ06WqZIPgbZZph4owLvNW7CpYbrzsvpiwYt8d9F3/ZKvpctCj0O9lTb0ewk4rODJZZFXhG5eHjNjCtCaQA4mQnEgCBNh/Y6Ju5bdxRN7n3B6PhBJjE4vSA9fo6nD+QJHPejXt9UT/sy/FUcu+/Uk0JFz7PeeLusqO5uu7nYdOQ4gvjVwj63vFL3DS4Uv2f4OJLQqknVtdTYHF56gqL6Ief2EqWyqsH2PCIugp6/H7Vjsj3T8z4H/2L4Hm/SwJ/DFupS6aROHmz7WSeu5kgbTwiZZZlCGjaaNTs8c+6I/PVVGhyvmL2IjByfZ7w7qHNAre+np63Fak/25ZyhpKKGkocSZLMvOZtOex21WCKYc3wwGtvf7u2TOLcvVkWWupEOP1B0xfD4QL/DDCX2dvb2RCeGDs7FigLMdyLMdsquiqbcLei2aV49KKTfFRoi0WaPD1t+yMDJlzZyIMQvHhY/6f3MYB7W/hsdKxYvNHwNfc0w3LCzst/fff//pEydO/Oicysof37x9+2gNUaYiFnjvNSFuB2qklAu1L63k0VwpZY0QYgGK4M37UkpP9J0fAX4jpVQ3j68BV6FwGPkoNtAOWt89hGIXLQZF8u124Cn0+A3wayllLYC1TMtQ7Mc9a51rBHbeIx2rqSshRASguvxdCGhv/U4Dv7D+1jc8/G0hDBIuyTIhxLnWr6c131W850niUspeYLEQIhF4WwixQErpLPrpBwgh1gJrAaJTo8nNy2VE+AiOVx7HfFZxx73/wH66T3RT0lKCuV55lpub65TWwcaDmOvNfPbZZyRHJzu9t1gshvFC8BxqHVouu4xDHYd4f7RKltfA5HioN9vq2Fxv5uVFzmT6gjlzOFWaY3O37rZN5swB4OVOJR05ZTZHmruoqqqyxbP0WDDXmykoKCD2dCy/jf4YFsUTFxHHfXPvw7RpE301fbT3KreLJ0+exByld/W+59AeEmoSBlYpHsBWb9b/U00mWi2ttvcmk4nq3FyqqquIOBtBVXsVYWfDaG1ppaO3g+smXMe2bdts/d8Rx4qOkduY6/T89KnTmC1KnAP7D9Beqr9hPWE5gbnezN69ezHHm5nYM5Gq9io+3/k5qSYTba3tNqnBzs5ODp3Q8+iHCg4Re9r3m0iLxcLxRmUOKO4tJrc91+X4PW45jrneTP6+fBrj7XYvTlScoLqjGnOnB/3MS6Ru2sT2+h2s6FRUc8Jz/40pPo/qNWs4dfoUb6UnU9Rcp49kbbvtO7aTEBmYvlZSUqLrZ+BcDxGtkbowc0fNtfWzJ/OeZHKjay+3qSYTMd0jMHfaVZTM9WaiW6MN61vb78fGjKO8shzzKCUvU5mJ+oZ6WttbdWn5es426kcWi4XcOXNs84yKOSOTGamZz1otrSRFJdHQZT/Iq2NXuzYdrj+Mud5MXl4eMeF2yYzUTZtYcfqoLo/R8e2YF7XZ4uoLoC/TlWXjaD2tb88V7+rTM+37BdVr1rivhAHAYrGwc+dOzPVm2pPbfdYuJadKqLLY53NTtQlzvZnDhw+TWKOQ9qVNpZjrzRw9dlQ3B+76bBejo0YbJWuIVJOJS0deygfV9kuHnTt3khCZgKnKhNlsn2+0OFl+EnOzmfz9+U5zqDs4zvsNXQ1Oc7g6H7xc8TKL9n1OdFgMrZ1KG3d2KsSedny6GhOpJhNFLSan8b5t2zYnokddM7UwlenjNnU18dwndkcI4ZZwv+yfTFUmunu67eu5ta6au5ttZdy+YzvJ0ckcO3MMc72ZI0eOYDJZbOVV6wmUuioqK6LWTVlTTSZkh3Sqq/0H9iPLDIiJOXPYk3KWd0bFc8OkG8gdPYfJlZM5ePagLcizO+y2qffu20vLqBZvq8Ij+GIfa7SPLqwvxFxvxiSVcQCwY8cO4iM8F4hI6uzU1emIiBFO82NeXh5RYXpzGgUNBZjrnceeq31SW0+brv+aMfP8B88zJdbAGO6cOXwspuvb2vr9xQ9eZFKseyct6rmior3C43r3to0O1ynrxcFDSl6VHZXUdtZSYinB3GjGhMnt2cdTWCwWTCYT9eZ6Wjvc7wsc676ssgxzgvP+c9+efZyKsUv/pW5StBO065xpl31NKj1VirlR+a3hFeG2vI6d1nuxVX/v+/Xvs7xvua69i4qKyG3Ql9eX0LafJ/WuhtmxcwcJkQlOc6u6blRWVtrOPbJFksZcYmfF/EkIHlnw3wU/Lryt0KY+JaVsAzJc5Wm1I278fl1CuMwc1QPcgyLMMsH6/0TgJ6xL+Evn70apqpoqTkk40Eps8Yesqli3bs5E4EVgPIrK4Xhr/HeAMTNmzOB/3n0XA6JMRWwk/BPFtphj2ftQHBAgpTwshOhAIdjcEkpCiG8oUeSbmrQ6ge9a308BdqAY+UdKqRrXaxdCHHD4vSoWA47i04tQBId+75C/AKaCzdfaQuxqsjqyTEr5D6u04M1AoRBilobgC8FPcCdZ9qjm+1JgH3Zb3hLw2BqklPKsEOJT4GqM9KQVnEbRkVYxyfpsQJBSZgPZAIkzEuWKFSsYGT2SPTv3cLpCSfbcJeeyfMpyRlWPYqNFuWXKyMhwTuukZGvHVi6++GJSR6Y6vc/NzTWMF4LnUOswNzeX9Nnp7O52VtFQ6zi52pmwVN+/3f42XWe7dOHdQU1ryZIldFR2QKM9XlNHE8l1ySxcuJCM2Rm2sKNjRithiospESU2O0FTpk4hOUVvv2Le3HlkLOy/HAOFtt4yMjIgI4MdG4pt739186OkAS+3vMzM5Jn0mnuZmTSThqoGrpp5FT849wf09vWSXGNcp3PPmUvGIufyf9z7MU21ijTDeeedx3kTztO9Tz6TzNstb7Ns2TLSx6Wzd+dee91mZLBdU8a4LeU4+iSbumABGWnO+Q4Wubm5zBw9k9MVp5k9YzYZF2S4HL+JNYm80/IOF5x/AfPHzrc937NzD6JRIFuUw49Px35xMXmtecRFKjWSmppK2oQ00qx9OyU2hbqqOsOoy5cvt9n/8Ae0fW3WrFnEWfSt5lgPpbs/oLjbri6zZuka3hz3mU2yw229ZWTw/Jb7KKi1X6glA1OTphrHy8ig/P12Kpsr2XjTRt41vUvyAcXu6+zI2YSfDWdz6WZ7WinJPp+zjfqR+sxxzpqWOk03n8XFW0gbl6ZTG0xLU9pdjZuRkcHZorN83v05K1eu1EskFBcT16Rvj7Fjx5Gc0myL6wg13a+nfZ206F5d/DARTp/GuLVA2Mrja+Tm5jJ/2XySzcmMiB7hs3Y5vOcwzVXNtvRK95dSRBELFiwg4xzlWVRlFDltOcybO4+DvXaCYvny5V5JHGHN47cbymyP7rCOx+L8YoqLi5k9fTYZF2boom3ftp26qjqWnruUCyZ57lHYcd4/YznDc2a9+RZ1Psj/LJ+Rnx+jubPJNq8kxoXR3tNOXLy9zV2OieJi+ur6qDxZoXt8WcZlTpI46pqpIiE6gbToNO6efjfPHVTKlxSfRHKKndSYnDDZL/un4vxiDpw9YEtbrauG9gaS65Uynn/h+UxOmEzloUoK+wqZN28eaWebbGMhOtpOlsXFxzF32lzm9jNvNZ7azY7tfwLs5gp+tngRGdON47WVtLG9czs/+MoPSIhJoKqwisrDlYZhF5+7mAsnXehdRXgIX+xjtXOVimZTM7u7d1NMMckpyvsVK1a4lDI3gmnTJl1fjQiLcJofV65c6aTa2Xuil22d25g5bSYZF9nLREYGOzeU2CSr1H1SS2eLrv8CTJ472WXbLblwCSfXnOT3n/5e/6LpVTZ91b2N3b6TfWzt2MqUMVM8rndv26j+aD37evbRMKqB5O5kZqbOJOxsGLNTZ1N2ooy0tDSKUHiUwbR9bm4uaY8+ysufZrK/Ru+X7VcO6XYfO6Jba8aMH0NyirO66/KLljM5QXMkLFb2jNq42jXpwK4DVJRVsHjRYjJmZNjiOK6Lah8EnNbm9PnpZMzXl9eX0Laf0VhxhBpmxfIVJMcmO+0j1HVjY+dGOhoUjYTU+FSij3dLIXgJ+CuKJthv8ATrEuJRzuFTUay+aj9TUc7lOt5AQq9E1HYT2dDKCEsTo46YGR1WzsSIcibHtoj4FBTD+ALFUL0WDdi9a76D4l3yeMWUKYkJhYX/EDDCoJRtD8G7GPADQohxUsoz1u/3AHusEl3hwH3AH6WDbR+ruuafURwHap+PkVLWCSFGoEiN/VZK2Wu1OVZv9Yo5D7gBRY3SETUoqqI7hRAjUZwlVgO3CyH+YJUgm4Hi7CAFKNOUTUuQTUNxlogQIgkQUsoCIcRp4CYg5CI5AHBJlkkpbY0vhDggpfTKVYq1Q3VbibIRKL6//uomykbgbiHEKyiG/Zsc7ZUNBiED/yG4gze2QLQHhGiNlHMw2xNx7PeuPJV5nJ5GfH8gBprDRbhNzdFI3cu9ckVg4M7Avz/nkXPHn2tzc27UpwTCUH0ikP2v647vkfOO3o353Q5hztxyHTk7j/Gd9O8gkYgFNyHfVtyVrz23/xY2Us/qTzVj+eTlCCF06qutt3+b2tpCcnYccxMzsHBsq5zLpxIxewU5JXZ1urtvXmuzC+gPXDzpYk41n+KOc++AfdnMHTOPY1YD2mFC0KfpYlqyeLhAIIy95nkwdgdkdN7BNle0+Xm4++fep+MjqL89IixCR3wCNC5bwPHG4x6r2hqpinmiPnn74tthxuXEATkblPni9j09Om/WySMscKp/lTp/YOvJrdy22G5V5KXCl/h4/FhGffMKShpKnOrn/JUeWG7XQB2/7rwe9vbp1f2j3WhOBfMewxsMdv301Di+2keN1stzU88lvzpf98zI+6W7fp4Qk8Di8YsN351oPOHWlEQgjO+reag23obKfq4Wjirj1S3VONiLB1yrJ0dHRHuu8q6xl2sEx3QGsyceSmhNdwBEhPXJwtsKa9LXp28Gvp++Pv3xwtsK7eTSugSBIs21FDhX83EwJEMvCilVgWKbq6KOpI6jzJ5SwcTZZpLGNRM/SYqwVBQpMRVmoByF/NqBnRBT/68GzmRmZho3ZGYmCHEcu3F/FW3ANbvhB4BO9N0qnfWeECIO6AE+x25JdymKV8sHcMb/AAdVe+gaPCiEuAiF5HpcSql6h7oDuEMI0Qo0Ad+WUpYZpPtz4EkhhLSWexXwIbAGOGKNX41irz0du4onKBJoL1u/fwA8btWWux/Ittpp6wDudCT/QvAPPLFZBp55v3REKrDeyuiGoRgXfM/q8eGXKKKXBUKID6SUP0DpEF9F8TDRhqIDDIAQ4qCUcrH1+0MohvZihRCngGellOv6K4zRJqOlq4Wevp6g8MYUwtCit6/XY/sNtgV17VpK9vaQU6osVNdUSN0hAGBW0aew8Ns+Levsr60lAAAgAElEQVRAod2U9ck+n/V7TzYYji7aH7v6MX7y4U9sf/999d9tLszV8g013Br496OtjyWpS2xkmVE+QhiTdcF2EaCW/cJJFyqerzTPXBn17Q/u7Iz0yT5bW3X32cmyPaf3MCLS6IJy6GDUVkZ9/p+f/7PfeAMuAxrj5mvXsrjtBh5793uAQo5csllLLg6/NdLVODGC4zgLtB2twcJonlB/e2R4JJ9cMYMrZ1xp85Z50aRl7DqlV3NxuR6sXUt9VT452/TOEhzJcSMYkQ9hQdSX3jj2ho4sk0jOtJ5hZNRIw/BGjg4cYdTntHbSXKWpEhnnpJzjMmwwrItDgeo1a8iptkujx0bG8p1veHDhYu1rda3O0tjqhcrYWLsEaWJMImNjx1Lb5uykwVvkluV6ZHfVn+cPx3khMizSRcjAoeeH3ydnk7K/efjKh3nks0eg9YxTOFf7yjADYg08m7Nf/+brfPN1u1F8x3EZrHbMGtobSI411v4AqGzWS6L2yjC1Mn6HIpW0O319+mNPV9fuvrij4zoUEknVE+4DioCtKARUOQo5Vg5Us66pByArK+sbKAbr51jjmYAjwPtoPFgC5ZmZmYO3oyXlpwhxDXbCrA24Bik/lfCpc3ApgWUuUvs+CsllkI38B/APg+c/cBH+LyheM/spvsxDkRBzhJGHmI3Wjxr3Ns33D0BnFnpBf3mH4HsM7MTiAaSUBcASg+euOqYE7nKR1mLN91+ikG3elcdgM/nE3ic4WneUjGkZ3iYXQpDixNkTtu+eeNxT0dbdxvaK7R6F1W5utKo6fUbEhkcp+hZxkXG0dis2IRzrwHbTKgcnWabF/bn3MzJqJC/f8LLTO1ek0rTEacxNmcux+mO2Mmvhz0OBp0SXS8kyfx6k164lDKiaVUFhbSFRc87n/KWeSVwE20FKdZihrS93BKQjjA6d7uL1yT7bZveKGVew4bDiBKm1u5Wpr+XoPGIBHhmI9heM+qDRQXxP1R7D+E4HLIMb9LBZy6H0Q9dlkFKXTnJsMktTl5JfnY9A6KRqwmetIGNZMMh7eg5XEpjBRIT5k3TXSpb19PVw2+LbbGSZ0QHdH1IVo2Oc7b6JMH0+keFDe4C/dsO1XDr1UtvfcZFxnDE4vAM8uONB/u/q//Pa+Yy7ywGVUFTDaKU4vznvm7x+9HXb38E2x3sCf5BBbd1ttHa1EhflaMBBD5WAPFx3mI+Of8RVM6+yvevu62bRuEX8cdUfdXH+csVf+P7G7/u8zI4IhEMexzXU35JlnvwmVZLynovu4ZyUc5iSMMVwvDmlZV2rt761zSapecc3vktZ3THmjjHyuekMx3GovVSDoZ+LXGF7xXZmJ8/2OHx7b5SY9uv3R5T9pfBg+vr0K+P7+p60hIU98tNxKVzc3iEXdXYevKSt45+zuru3AwWsa2rtN1G4HoUoWw88kJmZeaKf8IOHnTB7Drjd6gVzAMlI9y6MQwihH7gz8P9P7BJlk4QQOoJLSvm//iyYr2FTw3SYgHPLcnUbpRCCB1fPvJrNxzf3H9AHeCrf0ZGJZ7h+ez01e5VDeHxDF/NrG3QexoZCalG7IShvKmda4jTde4lUJMt8eGhs6dIbHfbWW1/ccy+xusBOZkwtzoHUuiEjM8A1WRYI/PnyP7Nmwxo2FW9irQNZdtUnZU7zWM7lU4POG+aLhYrUelt3m+2ZWsaB1qm7eL19vbb3WhK7rbstyGoGDp055PTMUT1lsFJk/amq6CTLrFDnK8d6vmnBTYMqy1DAG8kyp7gDnLcnjJxIVYuxqVV349MfBJ5WirO1u5U1G+zOGYzIG38cpLVpJo1IoqG9wUmyrMZSoxAfPs/dM0gku0/bNXDUiyZXWH9wPVmXZXmVR38SsWA8tyWNSCIqPIquXsUOq0o0hKC0kyNZ9unJT4kIi+CSqZcA+jr9555/6smy3m6nSzrwnXfK9m7PHXb4C45zTlR4lIuQgYNKDqtzg7cEsDb8w589zN6qvWy4YYPL8JNHTbZJXkWERfDwlQ9z78f3AjjZpVyautSrsgQrpDLHrgFeKzxZsRJYfDgqyvxQ8uhjn8aOmLklLnbJ35JYBOwBtrI+fQvwWeFthR1ukn0V+DqKDbSFWVlZ76PYMt+bmZlZ5SbeIH+M/BTFblcIIQwZ3EmW7dN8z3cZapjAlc2y8LDwoLppDsGOOclznMkyB7swAPPGzKPwuosGnI+j6qSjxImRvS8V2s1YsB3IwV52x02TVmXNHUobSj2W0Dtce5jfbPkNv1r+K4+M91ZbNCYJHZLvCwKVQnVTF2ibZe4grf8M3wVBnRlBWy5vJMuM4O5A30ef7n1MRAwdPR2UnS0jGLfALxe+zC3pt9j+dpQi80Tlyx36O/Q7SpYBlDWVAXryJmlEEqNHeO4ZMlgQJsIGTCAPaE+wdi3i2BhyDv4HgJuuuxVjZT5n+GPs2tQwDVSvvn7O151U4/1xKaAl5dQ92IFrl7HX4Wh13iUX4R+z9Z7BG/Urd/bHXMEVIbCrchcvFLzgsgyOY3QgeX9RUdVSxc6Knba/pZT8bfffAGxkmTvSu7uv2yNJIk+Ic6c9JDB2oXsHIcG6XvsTpQ2lNnMban9fsnEvKQ5qhDmXT6W5s5kJIx1NaOnH0t6qvYD7tdJxXGmdQMRExLD+6+u57R1F683IgVswwNu+EhnWA/BQdeb0UamCh4DXFnR1rX3+R8VN6evTBYp9smtRbIn/Cvgt0JG+Pv0wiirmEev/R4GywtsK+zIzM9/NysqaAHwb+B6K04BwgKysrCoUzuAkUIVii6tK870pMzPzy9fhQ/jCwJ2B//WBLIi/4WqzMlwNOn4Z4Kldo1XTV7HqQoXcSolNob6t3veF0ZF05XDGWYWr8bwFHDlRrVNfGpN+hUslen9Be0BsaG8gOz+bM61nmDdmHqCMBYkk53gO31n4HcKf/bcTAan+hv01+3n1yKtOkiVGi/dvtigOd/668688ePmD7guZnc2Fe+w2cCItu0FjszcYbFYOiRqmASxdFptBY3fSQoFU0TEiITaXbubqWVcD8EHJB4ZhAyVZBoqEQEdPBzsrd3IDnqlpBBIbDm/QkWWOUKVJBgp3hsLBuA3VPIejupcRAn0g9bbefCV57M4GnhEhMDt5NiunrNQRZv4my9wR5UNtN9bVXuPmBTfb1LlV9Ediq+NKS6DMPLoVPm932jP8a9+/bN9drSva588eeJbrzrnObf7DAb6Qgnb0QGk09tz16e7ebkMi2VfrfX/xBrsWegJv5j9TvYm0lDS/5vfWsbds3/uTLLv343t588Y3naThvG3n/vpasNop08Lb8ZI64mwfHUxd33PVQ7+OfGUP8G3V9ljhbYUSRQAmH8hMX58+CliJ4tExHbgCvWfI9vT16SeBSqZRCVQC/4rpiamd0zxn5BTLlEkxfTGLUAi4y8DwjqjdSqipJJojmeYbUk2IyzBQ2RRC/AhYB2j1fb8rpSwUQhxCL+twlZTSpdFCIcRLKF4uAWKAWcAcKeUJIcRbwEVAhZTyAk2cR4DLgWhrGb7lLo/BQgjxCynlo/5K/8sId2qYzwD/J6U8bPAuDvgW0CmlfMlF/MnA88A4lI6YLaX8PyHEIhQ3rPEoxgC/LaVsFkJMA46hGA0E2G2kZyyEeBVQZ/RE4KzWppkruFLDDJFlwYvUDZtYfcK+4aypfoDx+4uV6ckAG00b/UOUeQhHj2MAnb0eeu3xIS77qJSOHkUFYNeW25mI4vYmLXkXpSvH2NQDPPW0t+HwBq/UsGYneW5bwRWCQaXQnXqMkeFqn0JDzn5+6A4un3E5TNYffOcX6Y3TxtW+BCOShkx19Ym9T3DFjCsoMZfw5L4nbc+1m1tLlwXwbt7VHjqnJ4aByZmollLSK/VkWVxknM2Ab+6Vs8mZqveGeffNwW2DSzzzDKsPaEjslmy4ZIzyzsVBTFtXc8fkM6KuXFHRdfC81tXbxdmOs07tsGT8EraVbxu0VFswYFCSZQMkb3TE8BBLjqj2eFwRQTOTZvqdLNMeRJs6m5ye+TNvb9owTIQZSgfd0mJhw0j9uFo4NsFr752uLn88KeNVn5Tp9xFDaGvRCFIqZh0C4WlR2w7q+nfknCTmFzVQ+9JqVo+3St5Z68ioX5WYS/jzjj/T3NnM3HDnS5SBkmOO6/HI1z6GCQ0u20pVqfVnvWnX3pTYFLdh7/n4Hjbd7NpzpC+gJSfVecDdGLjhtRucyuTKQ7grOM7DjmG/iGfA2Mhuoju6jhyTU+YDz6lEmREKbytsRjGi/576LH19eiIwT/OZBkxBsUM+FqAjooOCpAIKkgpA8X5ZCeSG9YXVxPbGNo/sHtme1JnUl9KREj66a3RshIwYj+L4bzHwFXxNqilEmeoM4D2EuEZDmKUDv5NS/lsfRYQDSVLKya7qxxFSSpvHNiFEFjDBSpRFojhAWIqzo4E/SSnvscZ5EfgG8C/8ACHEVOBGIESW+RDuRHeeAO4XQqQDh4E6FJpiNjAK+A9gSJRZ0QP8Qkq5XwgxEsgXQnwMPAvcI6XcJoT4PnAvoF4RHe+P+JJSfkv9LoR4FMV1a7+wqaM5qmGK8GFxs/Blgr2N9IvaG0ff4G5D5yIKntn/jB9L5QIaw9ozz1tNzr7jutevH32dWxfdahQz4Jh48ARXdLVQ1bKD1erDlux+47nyDOZLdF18ATlj7AeC0fMv43w/eRH19BCrbsocN7Oflg3IxuiAobX5FS7CufvZAp7c+yRHnn5SF+71o2/wIw+dAfgCRofL3sYniW45zeoS+7vRp1+He/QOfHwtWXbtK9cC+oP4qo9LqbHUANC55Z+sBp3UZ6BhVF+0ZDttGWcnzSYlNoWe+sERVica7HPR7e/eTktXC2/e+CZkZ/OffU8xQyXEKuyHb5VY0ZJlQ036DAb9SXq5OmQNtH8Gk0Te43se52+r/+axBzx/S5apMCIwA31gdR6L5cwv0tsbnTByomHcgtoCVk5b6VV+Rs5/wDNiJtjNhPx08085cfZE/9LkfkbZ2TIYn6R7pq07dRz8/KOfOz3TxXGYE/wl9ejKzIM/MC5unE2zYCihbQ/1d6+asYrnDz3vcRpGc6yrS5EdFTuoaK5wWQajv4MRXq/BYZI0URlWJscDfNBfcEcU3lZ4FvjM+tEhfX16NIonzckGn6l9YX0rLGGW0ZZIC9WxNlMrEjhlTe81IG/1qdUVI3tGjgcmWD+pDv97SqqdvmD37oar4PYwuyiFI2G2EEXizBEzUUg+ryGESEXxbLkYQErZjcJzfBso1IaVUjZa4yRZ83zIIL1oFLJtFRCHIqz0LyHEKiATSLCW9UYpZbsQYj/wJvA1YDxwHVACbANGCCEOAn8GWoAsFKm2cOB8KWUbIXgFd2qYB4EbhRDxwHkoHbgdOCalNLmKp4lfjdKRkVK2CCGOoQi4zEFxZQvwMZCDnSzzGEKZ4W5E6Vj9Qp1gtYZcQZmwA3EjFoL3mDxqkvPDlSvJHxfJ4nGL+eTkJ8DgJUQcD9Cu0lswNp3DtYWG7wBqW/0mVeszVLV4boczY2oGueW5fP2cr3uVR0eP3UZo0gtvcDZqs914v4tbccetgN8ltzyA7eZ3iMn0SQnOl17Xpl3L2+jJsu5Bqu35At193a4NJGuk5caXb4KkY95LSPSzsW3saLR9Hw4kj8zL47vJ7bq54+7z1ygk/KYbBpV2fFQ8ne0KAW1uN+veGUqOZWez6OTnRNTZiYRgdBzhKYZCYmAoyTIjAogXvsP0tNGsLnd4d7Ozp8rBqDK5gipJqkVnTyfJI5J1fTIYD6xzU87xWVpRLgjL5ZOXs6nYvTTPUKuo9gfVA/mJRv87xwNYWSEwt5lJrbHbZEytaaV6vLOxfm3dLRy30MnmbfrhXXAwUrcOhT3zLKvz7WHiTC/BBPdrldEljFsbfNnZTKo5yOqKcpfS0r6ARNpsrA5VP3rz6JucN+E8pr6WQ/rJ3bb1JeXUW3DvEkb95B7GHplC7d/tXkl1c5nDntGQLHOx1v9151+dngWKDPUlvJ1/pZBhXw3/fOJfem5hWsfLMWU+LEvhbYWdwHHrxxDp69PjcSbS0lDUPb8FkDMppwOYWHhbYYm7/LKysuKxE2hOpNrMkpKVq7ZsSTVYveyEmaI2+ZwQQu08/5JSZqNIzc0SQhSikHl3SilPelANoBBQT1q5Dt3PB3STuhDiPBQvotNR1D8LcMZjQDPYTOyOEUKkAT8DvialtAghHkLhZV4E5gImKeWfhBA/A66XUmYJIZ4CLFLKx615lwBLrRp8iSGibGDo1yiUlNIC5A4mE6uK5RLgcxTDgdcB7wDfRBlEKqYLIQ6gdJjfSSm3u0n2EuCMlNJwoAkh1gJrAaJTo8n7LI8x0WMw1+sPDR0RHXy+53Pb89zcXKe0DjYexFxv5rPPPiM5OtnpvcViMYwXgudQ69BisVB4uBBzvZmTJ07SatEbqTaZTFT3VRPfEo+5Ud9mNybcyJPH7QRCbm5uv5twx/6gTc/SY8Fcb6agsIC4ORfxbvwxPjcrtqMWzJkD1nBqGseLj9NgbuDaHTX6Mu/7BdVr1uAPaOtNLXdLSzPRYdG0dOs9VLZYwhnHVE5YlE3thckXKvW5Zg2MW8vLFS/bA9ebqZJVmM1mThadJLc2V5dWRUUF5lbnugMQLYK97MVcb6asrIyd9XYjvCaTiercXJgzB1PspeQ3Kr5Dxs+Zjrn4bVu4/+z8D1MapwywVlzDYrFwouEE5iYzJb0l5LbnGo7fzt5Oso4qHs9279pNQmSC7Z1jn/HH2E81mbhs1Creq9rEqdOVxDaN4FTYKVoiW8iVuZzpOOM0NkBTv36Atq/t2LHDMP9Ck0Ima9+VlZVRkptLqslke15eXkZfXa/bspZXlGO2mHVpmXvrMfU6/0a1TXa27CS3R3nX3txOa3urYTjwfbsZ9SP1mbnebFhfFXUVNIa10dplf6e24cGKg7qwJpOJwtE1mOvN5OXlERWmt+XimMcl8Zew2bLZ6Tdr20GbX6rJRF1Tnb6+6810RHT4dX2zWCzs3LkTc72Z9uR2n+VVVF3EmYYztvRM1SbM9WYOHz5MYo3igORI0xHM9WaOHj2qq6cdO3YQF+G9f8bY7lh7X9y5k8SoRExVJsxmM6W9peR25OrCnyw/ibnZTP7+fNpLPfee5zjvmzuN+1eN+QwVcc1O73Jzc0HCpdGX8tZpxY5QV2SXy7o3tZg8mvfUNVPF/vz9NMYpBLb6vKyzjNqOWpq6m3ThmuMHZrw+vzGfopYivj1FL4lsqjbR09NjX8+tddXc7VwfAJ2dnYhOgaVbIfgqKysJawjDPM25bt3Ns4ebDmOuN/PyIrsRTjHlXNoT7HsGFW1n2wz3nuqzgsIC4lpadGqY/prjB7qPVctafKTY8LcU1hc69Z0dO3YwKnKUV2WzzW8d8XR2dtLToxD+tu/d9nVHraOw159lhfkoAONizNScjkOMt7dxHXWYOvT1Ob70uK69Py76mLiWOLd1bjS/bzVtZWRLvGG8VJOJnNM5StzeBo/b1Ns2OnrmKGazme7mbka0jEAgqLHUUGIpwdxoxoTJJ2uiWq7y8nJW5BzVvSt995eUAreap7Mv2c5DlJWXc9ya37G6Y8QYjElw7u91dXVOYbbmbaW0thRzo5mDhw4SXhFO6qZNrDhtL8uIiBHkpuZS21Gr66e9stft+c+X0LafJ3mqYUzSRG5LrtM4UtcN7XPZIlnKaK4Mzx/1l55baNr9+odCXFMJvGaVVIrFWNrsv1LK/wohUoA3DN4/KaV81Wpi6QWD949KKTdZCZ6nASLHREaNmDIiNnpidGzCBQlHYibGHEMhuuio7Og6nnX8bfE9oTKBv5VSfiaEuBhFIkqHlJSUX919992f79ix49rGxsavjBo1Kjo+Pj7q7i1bxkV1d7uqwtiTijmoOimlkVrSDmCSlLJLCPEn4EGgX5szQoh5KFJvRjcqC3CWLNsHzBdCXIGifvmmQ3rjgK8Cs6Sd+a0VQmSikGI7rGfZWGvas4EiKaXaTpGAaldnIYqpKxUtwONCiP9IKXP7+20hGMMzC+qDgFUy7U3gp1Zm8/vAP4QQvwc2Aqo4RDUwRUppFkIsBd4RQsyXUrraQd0MuPQXbGWNswESZyTKV86+wpUzriQ5RU92jY4ZzXnnncc7Le8AkJGR4ZzWScnWjq1cfPHFht5ScnNzDeN92dDV28Xzh57nlvRbvHa/rdZhbm4u6bPS+bz7c6b/6EFGFy6w3bxeO+da0pb+kPHvfI/ZqbNZGr2UutY6MpZnAMrtUlt+G2daz7C3ai8ZGRn9kmXJ1c7kp9qWzZ3NPF33NOnp6WTMyeDY3mOUilJdGG0aM+bMIGJcBNOKt1HXZl/Q09LSSPNT/9DWm1qmZxrOZcXkFewo1a+HSw+O4Ibpq2xGhS9ddKlSvowMMsjgxtYbuWPjHfZyz0mjuLiYRYsWkTFTX/6cnhya64yH5sjokSxbtoy3mt9iWuc0DnbYD/3auijJL6GsuAyAiy66iOQGe1tcMPECMlbq8/QFcnNzmZE4g6rKKmZNn0XGhRmG4/elgpdsc8XKFSt13gAd+4xfxn5GBn2yj1+/cpyp6d8mbcFNTPrw/yMlNoWMS5V31zW+6BTtVzc/ajPo6Gto+9rCCxZS8aqdTBgRMYL2nnYmTJlIVHgU+e12B8oXLriQ8IwMKC4mrkmJM2HSBNLGuB8XH/V+RFNtEzuus9f3lTOuJO2C/3X6jdo2Udvj861pNFfp+6h2/vd1uxn1I/VZcnUycfHOUjbjRSpzJ0VSUGu/aFTHyKPVerWZX938KAuOvcXenr2sXLlS59ULlDpQ62rh2IUsuvxP/G7DGrS9NcPaDhfFXETBmQImjZpkH5PFxdRV1FFbY5dyS05J5tKpl5Jxsf53+RK5ubnMXzafZHMyI6JH+Kxdcj7JIYEEFpy/gJTYFEr3l1JEEekL0sk4R8kjujKazW2bmTdvHof6DtnirrxkJSOjB6Z+PmLGCP6x5x8sX76cMXFjKM4vpri42DbfaLF923bqqupYeu5SLph0gXGCBnCc96tbqql+3ZncGx8xjqmTRlPWW6Z7rtbxZVxG+QfllDWVMSZ2jMu6j6+K5z3Le7pnRmGbOppIrrP3uGXLlrFgrKKCnVqbSldvF19b+DU2l27m1k86bNJlqzvKmZzQNyDpmkc3PAqRzuUpyS9hf+N+23O1rhraG3Rzl4rSRXGItWvZYfXAvXjZD0mbtZrkDWt0c9DS1KWkZaxzOc9GVUaR06YQIcsnL2dn5U7OPfdcLprs7LHbUmwhuV1JW1v+lOoUJJL09HReZqHOs62/5viB7GNPN5+2zb2rLlrFttxtgP63tJha2NW9SxdvxYoVJI3Qq0z2V7YF0xYgzv06Mw9EknfwOUo170uBttu/w46K7QiErY7K93xMQacyt6YkpjC+ZxQLp6ZyqEbZk1RTzQ1pN+jXoeJiPmn6RJd/f3u4P0z5A4+lPOb0/Jeu2kqzFo5NGkPaLM/2iN62UcWhiv+fvTOPj6q6+//7zExmshOSQBICsgRI2HdQQaSi4oq4V6u1btFW29pWrbVWxEcfW/3pU636WNyKPioFERWxIqKIoIKybwn7KmvCkj2ZmfP7486duTNz78ydyUwywXxer7xy59xzzzn33LN+zndhk9xEx5SO9M7rjUVYqDpQRZ+CPuzasYvi4mK69uzKZzs/Y2CngVGPvWq5FrkXkZa+RjdOJ2sn0lJ8c0uXrgUUefI7XnacfQv0Dye0de9yu3TX7G8ce4Oze5/N7p27lfVqrwl+dQxw27DbSJ4wgdUHVpNzzL/PTfzJxMheOEpov5/6HqHqXI1T3LeYCSMmBL27Om8Mqxnmr25aCRsbujoBm7AmxUXE2pphtdk72x32XLsjKSfJkTEs4/pBMwZN6fe//Ypd1a5htg62ZIvd4s1bumQhsLHpeNP8gzMPnta4tvFEbsdcR1paWlJaWpptyJAh502bNm34nXfeOfTQoUO9U1JSklJSUpLS0tIcaWlpdofD8S0oY4cKp9MpZzkcTbfMnWt3uHS1UWofU0xK6U6uUkqtketvUJwUmMGTwKNSSj+G10M0BqarxVo8Nt8CMAhY7VHl1GIIMElK6SfFJ4S4CtCqyWnVTAcBWsm104ELgL8IIS6SUt5v+FbtMERcyTKPwbs5wFtSyvcApJRlwPme+31R9G2RUjYADZ7rlUKI7Sgqm9/rpGsDrsAnrmgKB6oCpSUV1YNEsjPSlvH5zs/5oPwDAG4bfltM0iw7Wua9vn3E7YBPJPkXQ3/hF1cIwR0j72Dmhplel9ItgYfHP8yjSx71Gs5PVKyfcgbnnnEnC96ZDwSrm3ZOC+3q3Ag3Dr6RN9f5DprMurfvplEvTElK8bvXwdEhMHqLYc3BNczcONP728/uToAaBxA3g8sWYcEqrLpeERPBKK1W9eTXo3/NP1b8g54jzqBXx14s+MzX/+6+7pdBz5odc/vn9udgzUGvof5w9vPSknyL493XTmLBusRRjV4wsTujuozyG5tuqTwTDMaqrhld2Ve1L+J8Lux9Ib8a9SvjCKWllK2ERdtqePfqd0FjhmBY/jDWHFxDz6ye7DyuSAGMKIhomk0YbDii+CZae3Ct4iDjR4pwhr1V1eV4r4Nem/waN8y9wet4oVNapyD14ObA5XYFmdQwUl9aMLE7Pxv0M95a7292d4qGgO6epYxvd426i53HdrJwx0Ka3E30zelrukzXDLiGZXuXGZajyaUvETFjygx+/r5i6/TKflfyxjrzNp1aEqoTCTDvvbw5sAgLafY0LupzMR9vne93L8WmrCG030evTI4A74qxwMReE0myJuGwOnjsK5864fH642QlZ4V8Np5mHqSU3gNjI3VDtY5O6xB7SX4tnNRFIWYAACAASURBVC5/1X+tqQ2z65nyCn0LQGYc0iQnGXgGawMIZ1IisP6swH+SJlbRRMfMUVN+XbnoZe9Jh0cNb4JeOoNmDLIN/NfAJBTVvwIUW1jq/6sGzRj064H/GqiG+UtESPpYpKXSYXdU2jvYy1NcKXUdTnSoy2rMcuY05Ig0Z1q6QOQAPbiAbC4gsOEPBsjPzyc/P/8EitOAo8B+fEb+/f5sNtuxX86eLQOM+6uoBS55TSHKygiAECITaJRS1ntsif0R+Ifn3nCgu5Ryrs5zP0FxePCaXhWikSoTQiSjSK5t8zgTeBiYrfPcQaCPEMLukXLr7PGWeQBFgk1VqRzsUeEcBGhZ6cH4CLLOeGy5CyGKgJ1Syg89RF5YZ4jt0EfY2U0IMUhKaWyoyfg5AbyKYuPsGU14ZynlYSGEBXgIj7igEKITUCmldAkheqGIGRoZQTgXRQQxop2Enh0kiWwny2KE/PR8AEZ2GRmzNI3sgLWmnYHXJvuPkaMKR5Gdku03YSfbkv1sd7UG7jvzPp76+qmg8D+c8Qd6ZPUI+7zZOg5c7HXL9JFglTdexYLPVwPwyNmPQBffxntS0SRe/O5FhuQNITslm2cveJb/W/d/fPfDd2Q6zKtoxBrrDvmbEwjcgPXr1J/NR/xVDeKFJGuSLlmWKLiy35V0Tuvste+27+Q+47alcYZxzrl3ggmDwxZhYXSX0XzikfaIBHrGm28cfCMHqg6wePfiiNOLBS7pe4kfWdZ06y8o25jCgi2KSlp2SjZMUYjXHlk9oiLLinN8sgxX97+a2Zv01mbgsDr823ZpKWnAF7OW4jptvNcmZCzHcyPE0y7a5zs/j5gsS0QbWuGgZzfp7uv+D1vNERZ86H/meLfmWvVSGQlxFY4AGJY/jNUHV9O9g69MgQci2vmlPgZeoyNtQ1nJWdw16i7S7ensPr6bmRtnkpKUwpC8IZzd/WxKPDbLLuh9AQB3jryTyTMnR3RQES6uSlBcXnK5X7jq9VhKydUDrubdze/6OXpJFNjjQDyFgkBAaSmZtUdZ8MEGv3vne/5riYWg+h8/nu1nZLBgwyEGdhrI3aPvhswARw6lpdx2y8+5evbV3iAzdnHHdw92+mBI4pSWsr/XTjYc2YCz51jOOz0+jnn2ntyL0+30eisNtdeJ5xiclZzF7l6nsaCnb018waQ7vdcWYdEdv/pk94FJvrqJdt1/cZ+L/fICOL0wpFW5hEK4bxPYzqUbljj7dkAx+L5QDR80Y1AqilfL7p6/Hprr7igqkkGDlsVtqbe77bUOl8OV4kqRKa6UujRnmjOtKS011ZVqS3GmkOxKFhYsOeAnzF6DQnpVAJUoklWVmt/a/+r1salTp0bm3UjKLzy2yVTCrBa4xBN+G3C2EOJCNTaKGadRwP8KIeoAF/CclHKWJ85twOrAbDy8xlPA/VL6CAWPE8NNnryThRD7gHGAG5jrIcqcKN/ivuDiyw1CiA+ADUKIWhStu4dROJJ/CSHu8JRxBgopNgiPKq0Qwg50kFKq6kwfAeVCiOeBPOBqIUQVCul4i+k6bYcfzBwFvejx0vAvFAkxU94ngbHAjcB6j1cGgAdR2NO7PL/fwyc6OB54VAjRhNLA7pRSVgIIIV4BXvLo/YKiU2yogmkEPXbe5Xa1WQPGiQZ1wI7lCeNLl7zEdXOu85MYaU1kOjLplNYpKFwgvO3o24sGUzqilPs/U6Rdm+uAIFqM7z6e8d3HM/mdyYqhV88GcEKPCc1OW9tn0uz+3yZQKmxo3lDWHFqjGNjVQAhBSW6JN61eHXvxwLgHuHLWlUFptiRU4kdFIBk4smBEi5FldqvdUPrgobMe8jvFbg3kp+dzQe8L2FapKMUMKxjm/Z4/6fETRheO1n0u1p651P7XM6unN0zdcILSJk80nOCs085i4Y6Fekm0GFTVrEBcVnwZV/f3bdCu6n8VS/cuNZ1uXloe2SnZnNPT5/NmYOeBhmSZEbRjWenw0qjVEaNBLEmqa/pfw6xNs/xUXAOhGqAPPJSJx2FMSzuc6J+r9DG9+UqLv078Kw8seoBx3caFjAdwfq/z+XTHp2Hr5/Sup/PoTx41vC+l9HPWsXjnF/TJ7h02/0hgpi2pRNju44q0sEVYeOyc5o2pkXznEV1G8PKlL3sPGlUE1m9eWp5X0jOREG2bbm5fyE3NZc41c7hyls8Jijpmadcmx35+NQs+U7YNo7uM4pKzS5HrFdus/z3xvw3bSKCKe7RobQnw5fuXA1BZV8l3P3zXIlLCKul1Rtcz+Gafon57Vb+rcBWOgs/+6I3XW9Pfh+abE3hRSfqSnBLKKnzCQoHOSgAvIXmw5iB3X+bz1Do4bzDXDbyOS/peYv6lWhnh+ktgO95bnUOttFtsmavuTymcdeWgGQ+chUIQDfBPGFeSO+lEqiu1Kb0p3ZbmTKtJc6alJbuSLcmuZJKdySS7k7FKazKK5tdh4BChyS71f+XUqVObfwpiFj7C7HXgZo8XTKSUPzN4YhGK9pofPBJnXYC7Au957IkFnR5KKavwt7+uxSBzxZcPonAk2rByIEh/X0p5hea6EYXoVH/fGhD9z2byb0domDHwf5YQog8KI7lSCLECeF1KGXLHIaVcCoYrqmd14s8hwOid5t5tAb9/Ea7cetA7VXG6nd6BKJy6QjtCQ63HWG400u3pvH7Z614RezWfWJ/8jygYwcoDK8NHNIAQischtQ5KYuhJK9HRvUN3LyEGwadgeel5dDzR0Y+8SGQESqAGSpY5rI4WK4vdavdTddGitRfiRlDH2fOLzvfaK4oGkWyoHDYH3TK78dD4h7xhQ/KGxCTtWOO+M+9j2b8VskztK+n29CDV9aLsIp6Y+AR/WvQnb1i4cuen5zd7bGyLUlV6OKPbGczaNIuhecYbMZW0XLRzkV94g6uBNBLjgMYMwh342Sw2QymXAZ0H0Dm1sykpoZFdRipkWTPbiESyccqZZCVf5CVzb2+lQ6XWRiBRpod7Tr+H337y2xYoTdtBpFJtapv1rlPDtOGpZ09l2pfToitcBIjnXHRer/O8h0OqKYOWwv1j7+fxJY/z/YEgSzoUpPvbfu6a2ZVbht7Ca2v0NNt8UMe5gowCP7JscvFk9p1UpLC19SmRQXkJIbh+0PWRvUyCY/sxf8eUR93QudvL1KTvVNUIq4QUy3PrczcV1BV079jQsSjNmZaT4kqxCkQ2sBdF6usHFNW/wL+DU6dOTTzR1kAoBFmP5iUhTwJTYlKedpwyMCUCJKXcKoR4CMV+2HPAMI844oOqLbK2AD2yzCVd3nAtIdOOyKFOZLHexOuRmLEg5MwuUszE00pjCCEQQpCalBqzE8rmQCXyWgp6eYVamOrFb00yI3Cc8JMsKy3FISULZvrOCuIpOZhkMa+GOTzfrG3S+CIUaX7/mffHTZJ3YOeBfhKJ3Tp045nzn+H3n/6erOQsTjScUPpmK6pwSyn9yFctwa4HVfIpEGbfIVS8U4UUM4KqAjgoTznY1atno7kqUgc1iYIpxVO4ftD1PPzFw37hsRpPjfqulJJFOxeZlhABpW2Gs0HY0ojlvPPgOJ+QQHPT7dWxF9f0v4Y5m3XPk9sMjKRqzSBcHar3Y/UNI3FAoMU9Y+7h78sVY/+JYOIlJyUHIQQXFF3AoZpDhvFiveayWWxMnTCVy//tr2I8/rTxQfaGIVhNW69MRmXsmNyR/Sf3695rzfk+1ijMKGR/VfB7Bkra7c5bSX3qHoBphTWFK8YcGXOVBct1QDKKfaz5KDav1gBrp06d2rJMajva0cZgxmbZYOBmFEP8C4FLpZSrhBBdULxHtGmyzCpC6/FDfHX5TyWo6mvx3oSZ/R4S2ayJMpJnBcGE1KDOgzhSE+zm+lRHJP0lsI7V3y3R54zyCBwPAttzS5IMVmENUgvVQ9eMrkEScK2FUKT5Wd3Pik+eBoto1YlEPKReYwmjcmnVSlsSrUlWxwqqOYBD1cYbRCPpFD17d5GiNdYNRdlFpCSlYLfa/STJzGzaoxm3Nx3ZRL/cfny771ueXf4s5/Y819TzqnT4iC4jeG3Na0zuO9l03m0FXTK6tHYR4o5I23jv7N5Rk2UQ5tBNRw1TO45p1xZm5oFeHXtFVcaJvSbiki7+seIfUT0fD7x+mWLt5rnlz8U1HzPt4byi88KqhodDos7j8YJar0bjeHFusR9ZJoVk/IHxH+Y05ewF3kcxbfQ6ivmiZVOnTg2/qGxHO9rhhRnJsn8Ar6BIkXnd/Ukpf/BIm7Vp1DTVePXqwxlkP9VP4puLeEmWtQSauzkUQpEsC1wstMbJYktsdAPziFRyzAiJ0Me03+zJc5/UjVOcU2zomSmWUNtVW4Jafy35LcPVkVbq00z8lkK4cuSl53FVv6uiliiJ5htopWTbLKZPR4DiuXbRy7DWQcnur/gwQCvYSHqkOXNYIoxh4N+2RheO9tov0oPZMmtV2L7e+zVPLH2Cu0bd5SUmj9cfN102gfDaIo23J76WRCz7TqL3Q1NS93HsD51TO3O41t/eYCzXP8m2ZC4ouiDi57zE3Clw6NBcxJLYCpzHw8aX0tgYUBtCpN4wc+qzyW7MXoRgOvAZcOvUqVMj9xbUjna0A9DxeqGDi4G3VaJMCGERQqQCSCnfjGfhWgpf7PoCgCO1Pz4poFiipaQ3EnEBoidZ1pqkYWtu2CJRZzYigxJJDbO10dobkkjRWlJcbem0+a5RQbZjDeGnthmjzXOoNpVIbak1IBBxqQPdcS5O3zOw/PePvd8rXRKNbVa99nKw+iAAP1T94ItnVuo7UL0qTqRQa5JN2m8QaTnaYh80a64CYvddIqknr+RZhGuL5pTVzLPxbqNtsS2pCKybRJcQjzeM1qaBTqhSm9JBMTgvgJ+2E2XtaEfzYGY3/xmg3f2mesLaHPQmpdFd9L21tSNyqAN5S5BEibYA0CN9BCLhiJeWQF56nt/vUIvB1lDDDJf2l7u/DJvG707/XayKExKJuigMteHIT8/nqn5XkZOaYxjHLGLVzxORYG8O9Ool0nc0alt6xP+pCl3TDK2gzhyrdm70Te1WO7mpucy9di4vX/py1Ol7JTsQpm0pGkG17ZlIiPW802xHCKdYP2xOfYQ7VPPaLNOqYRp8T7PliHb+TbR2bYRAY/ixTC+e0Ktf3TkxwSUzzeKT7Z8AxvUbuOdyuexISQ0KWdauctmOdjQTZliNZCml18qw57pNWr/VG2i6Z3XnpiE3ATAsf1hLF+mUQqQi0qcSLMISdOrVFlXo4oVQi04/uyIJ0Ha06thG5SnMLGyp4iQ09L5rYWYhNw29qcW9C+suoAPI10RTj4l1ORKVXG1tuNwuXDrEWCRG/08F2Cw2r8qkFpG2G4HgrfVvRfUsBNuNau3+mAjzjhZtpR9HLDEX4/caku/zeBxOckxLppl2kBKlc6REm2dOFRg6GAl1IJtgfbs5eOycxxjceXBQeOCc5XZZ2eXOPun5eerouLejHa0EMzbLaoQQw6WUqwCEECOAujDPJCSMBlSH1QGc2ovklkBLSZY113B/vCDx92z3Y5LQiNX3SLRFZmu3s1CE66mwCCw/Wk6H5A7kp+c3Kx2zntISRZrFjygIs+GMRxs0a+OtzaJU8VC7IGMeADddcQNPv/dxUDQ9ybIf6zrAzJhrRC5GrNoWcLDU5tubAWLddxO5nqoaq1o8z1+N+hVJliQ+3hbctwOhJdMikSyLtxpmPBFJv4z3miua9I28Ybb2uqy1UJBRoCuxHygNbcFKI5YOnp8ngx5oRzvaERHMrArvAWYLIb4SQiwF/g3cHd9ixQdGagNeg9Q/0gE4VmhJNczWglEb8ZMsE4kpWRax9IAJz1O692Kw6EqkemtNnOqE670L7+X2ebfr3oukDYQj0BO1PcXdXk0Uc5pWmiIRiMXm4DejfwNAnVP/fE+v/hucDXEtUyLCtMHsMNLjEXmQThDiOl74MawntXPT66tfDxs/1t/bZrGZ9jrakvOougY+lefuaNGcfhGN9koi9sMmV5Phva92f8Xu47sjSk+1WdajQw8A7AiKrBXqRNZujLsd7WgmwkqWSSm/E0KUAMWeoHIppXFPT2DUNtUGhUkpoxqA2xGMH7OBfwjeeJ3qREckMNxcCX+7bl5vha1Yb0mWJJrcTX7laUfbRCjVzNZEpO2qJcm+U8IbpgcpSYq5VSNP10mWpKCwtvzuLTVeaQ/EPij/IOLnVXK7NSSJQ+UVr3JEbE+wjcw72r7iJrx91niOvXo2y/zuR9Gvo1XDbE6erYVYllVP1TuWMHswlqjr75e+f8nw3pNfKx7Y5103z3R6gQIKaQJpEVR6fnYFtkZaxna0ox0+mBUBGgUMBoYD1wkhfh6/IsUPNU01uuE/dtHeWEGV3EsUA/8tfZKoJV69YQmwWIq2Xavkcjy9MSZin9N+s0QoX7Qe5k4FxKr+f6xjfLT98lRpS6pn3rs+1vc+euOQG1uyOAkNM+OMntpqk7vJe7gQyVjV2oSQdiyIZFyYs3kOJ+pPxKNIQUiE9UO0WHdoHbM3zo75GG54P4zNMm080zbLojw4UNv2HR/dwd+//XvEz7d1BO4BzNShmW9yqmivbKnYohuu9SwcCdT6UNUxLdIG8B/P7aujSrQd7WiHF2FHHCHEm8D/A8ahkGajgJFxLldc4HQ7dcN/zJJlt394O08te6rZ6TS5mvj7cmVR0Nr1GK3B4ebmGSRZJtq2N8wvdn1hOm5zTusD78dbsiVceYzGidZAvL12nUoIVVdeVXtVcrGVN6HxkqgxrU4XIt/WHr9jCT31S+23T01KZVLRpJYsUosgXuNBONJ51YFV0aUbr/4Yh2TrnfU8880zERaj7ZJeZhHYJv78+Z95Y90bcc0DgqXRDSXLpI9Mi2SMa46Bf4BFOxdF/Hys0NLtTp1nVbVAOLXmk3gj2rVnYB9wu+wCOIRir6zY8MF2tKMdpmCGnh8JjJVS/kpK+WvP32/iXbCWRCQ2y9zSzYr9K06Zk/eDNQdZsmdJs9PRSu3FXQ0zgpPBbZXbOFp71FTcrOQsw/zCQSXGEtnAf8SqXxGUfdXB6DZJscg7lqhurPb7HarOBnYaGO/iJCwJlmibv0TqZ6GQSPX2Y9jE6I3pbaWtRIKWbldGbce0ZJmqhhlHtft4jp16Jj1UJJp355bCkdrwppFa2paXNh+v5FkEfSVqifk4k3GRoCXXEC7pAoINzkeLwG8VqS3NRJpvzSBw/WkWgd9YOh1IyXVAJhBbxrod7fgRwgxZtgFonquyBIc6AJsR7X34i4f5ryX/xVd7vop3sbyorKuM2YQqpTQUAW4OtM4TkqzBdmBiDbOT5e8W/I5bPrjFVNyXL32ZmVfOjDgP0FfpSDQD/5GipcoukXy05SP+55v/AVp3gxGJce+S3BJdm0exhlHf92tzrVRn8cw3Ik9eBgS6Gqba00k08jHQg24oTJk5he2V2+NcolPLZtnAzsGEdrh3u3Fw81QzE62NmYUpb5gxaheqdE+brauWmhsTnNgNVb6heUNbsCQ+GJUp8CDTDE6lsTAcYtHWVMGDZFtys9PSg1cLKJTNskBNhTZEWC/YtiCq5wL3rnlVHfmuqet4z8+fTZs2Lf4nu+1oxykMM1YYc4FNQogVgHcnKaWcHLdStTAiUcNce2gtAMfqjsW1TCoufedS73UkBh+NMGfzHGasncHlJZdzyzB/EunznZ+TlZzF4LzBERvo1JIM8SYQInZTj2Tu5rlc3u/ykPGaM8HrqVy29YVWzAjaEHWg9rkdx3Z4+1ZLbaD03k/vG4bD4ZrDAHRO6xybggWgLbehREOiLJwDyxGqXOo9l3SxdO9SJSyCzV40SPRNenMQ7t3iZQ8nkes0Yk/JzRyjgyRGWlstOk7jQrT11FZIxFDfrXNaZ7JTsv3C4nq4EkZyrCXtN7aV7xdrZDoyAXjsJ4/FJX0jyTIpzWubJDKiFTQIrI9UWUjn6qafL0xNXjPWseuGVOG8edq0aauBL4Cvga+nTp16oNkFbkc7fiQww4g8Eu9CtCYkMiI1TBWJsukygtPtxOl2BhFAM9bOAGBu2VyG5Q/zu/c/3yqSPef2PJffnv7boDTrmupw2By6mwmtWoLdam92+WOB9YfXe69fW/NaEFmmlYZrLoxsaSTyBikczG5gst6YxaTNPlfX/dctpWPOYSj0xTHqW8fqjrHn5B7c0u3Xrlpr86Rndy4cbv3wViA2ZLaUkjpnHalJqabzTyS0RHs/WH2QPSf2MLpwdFT5trU6jReM+uSpVj/FOcXsO7nPayog3NiitbfTDn9EqgYVMo0Yq2G25bnWCK1NIkaL/2z9D03uppgTz6Hand7319Zfz6ye3nimbYG2gBpmoiBWba2oYxGFmYXhI5qAGan6QDS4/LUD2hKJFu2B/Y5jOwA42XhSCbCuYGTDaMtJS87gf8sOMl00bu1jPZrZw3rs7kzR8HuLkEybNm0PsBkoB8o8f+XAgalTp7bNgacd7YgTwpJlUsovhRDdgT5Sys+EEKnAKbWajGYB2BLekCLxjFJRW8H/+/r/8eBZD5LhyODyfyvE0Ic//dDwvR5e/LBu+IofVgSF1TTW8NM5P/X+DkxXa7PMYXOYLnc8sPLASgD+8sVfQsbTurxffXA1L6x4gbtG+7ymqe3i5VUvM7k4tCDltmPb4JiieqDWS2tKlsVigdDB0YETDfrtXLuImbN5jmEaFbUVIfPYc3IPAOUV5d6w1iIZG12NbKvcFpe0l+9bzpD8IWEXQ2+ue5PZm2Yz88qZpNnT+KHqB7Yf86neJeoivCUXpLfPu917fUHRBd4+q1c3alg0ByLxRDzKYWasMbNRTJQ6ihW0Y4sZtEVPa3rj5eajm/n7t3/nntPvCft8pONKNI5rAttVm1bDDOXQRqcfRjqfJeo4bxYvfv8iALmpuX7h8fjeQfaaTHrNjCbteDwX7zWiWpa31r3Fwh0LyUnJabG8tYhFXma0gLTr9bZGoEd7ULPnhLKOVoUWMus/kSdsow6Pq0vatdLhWlQtHZevdhb2W+0sBKQzGWdFB0u9yBG1g3MsNRNSRZPDLlwk48QhnPWPPDLtgBAcBO/fgYDrQ8AJoGbq1KmuZr52O9qR8AhLlgkhbgdKgWygCEVe5CVgYnyL1nKIZiM1a9OsuLudD1RnDLXRmVs2lw1HNvD5zs+5rOQyb/ix+mM+Ufjp05m0Yrfu81znu9RTwdQSZaAMymn2NO/vkw0nvdd6m42axhpWHljJ+O7jg+6ZRWVdJf/zzf9Q01TDvC3zKB1R6h9h+nQATlvxCafpJVA1HUp9zwgEkxb56iP763dhTZI3jnZDcLT2KJ/v+jzsJmHNoTXe64Hvf404spFju/9GalKqj0QsLTV4OnFQ1LGIu0bdxe8//b3u/bKKMlPpPPPtM0zsOdGwb2nrH4Cq6TgznLy7+V1uGnpTRGVuLt7+9QSqG6vR+sbLPDQT7nnQ8BntArD8aDnFucGOhw5UHeCxrx6jb3Zfnp70dMgyLNmtONs42XCSNHua15ufGSnItiSFIKUM+05671PvrPf7/cn2T/wI7kjL0NqbUpfbFbYemrPBDHy/yTMnc8+Y8ORJW2pLkSLcBipWxqkjweYjm8lLy6N7VvdmpRPYVhbtXGSKLDMLtV2oqufRYPam2UH9OFFgtt1X1lfy7LfPcufIOw0PB2MxtsxYO4OL+lzklTROtM1/uPIcrT3qVw8t4Y04VNprDq7xOyRtbnpGCPz2gZLzLYUmVxOHaw/z4KIH/TQt4olw81UspFL1YHQoEkl+9c76uNlbM4P3yt4LG0evfsd2G0t5RTl5aXnsPL4Td8O1QiSJvKyagw/teun6V4A/93hgfgkwCkT/epL61buT+h8iowhXkO3yZIHsbsdVaBdOmSKc1mSabA7hxCFcOHCSJFzYcGMTbm59+O8NVty1NmSNVbirbbirknCdtAn3iSRcxy2CKqAaqPL8VQf8r9f8NWivp06dGvmpTDv8IcRPgNeBm5HyC1+wuANFc/AQIIAtwP1Syp2e+78DfgdUeh55Xkr5SuisxFr8fVCfL6U8LITIBV4DegM7gWuklDVCiPOARwGVTLhDSvlNc143TPkuAbZKKSM7QcWcGuZdwGhgOYCUcqsQIqxxHiFENxQvHHkolTddSvms596vPem6gPlSyvuFEDnAu8Ao4F9SyrsN0h2CQtalA7uAn0kpT+rFNQMpZdjJsLUWKIGDfJO7KWIVRzMnFZmODn6/65rqwj7zn23/4ar+V3l/h/I4ueWJe/l0+6cADBl8Ix2SO0ROGE2fztsrnicPfGRGAPkVKQLrt6JOXwpq0qLdHN35BGfv8PSv4wH5Tp/O799Y7f/Q/BvIPrSRAXWVrCn7BwBDr/41HVM6RlzOt9e/zdd7v+b5i56P+NlocW6vc4PsjaiorKvUDY81Xl31KrcOvzXu+RTMm8cPKxfTfd0ev/CNJdnYjOzvTZ9On73fMPGAT+rrXu7VVcVUN99bKsM71vB6CwsYk66cdSUAndI6hU2jLWDal9O8EqChENhHP972cRDBevjg45y/cRdigPGiWG2z2vQO1xwmLz0vkmI3G+pc0uWdj5i0czdzFk3CCpwBcLR545lZfLr905CkjBACl1s5LG5yNcW9PC2NQHIjcPPRGpvadze/y7ub342JKne0MCuZCMpaBHQOO1SMNE5DPQDQen6LB3kSzaa87GgZ6w6tY3De4JDxjtYe5bOdn9E7uzcX9704bLrNeb/ZG2dz09CbWp3Yb22EXacH3F+2ZxlVjVV+9z8oi4woi5WU+/tl73NFvyuanU6kUD3da4kyp9vZ4uWQUrJ83/KYpadHGO0+4RuL1IOwSPrd9JXTmbdlHuf3Op9fj/l1TMpphFiPd1NKpnBB7wt4ctmT7Dy+k+r0YkrKukdOJQAAIABJREFU/q+py8Fv7tlc8l+z+pVtPrnrrxerqpZe9HhgvgPohWKbPBvIAXIkIrsBW06DtGVXSXJA5grIldARRODpgMPzp7u5seIiyUOs2XB7STYbrqAwq+fa6rm+4S/Pu6zIJqtwN1qQDVbcjTbc9VYh6624622462zCVZuEu9YqZB06hJvOtfq/0XPdaPK6qc2ppypE2UdAKvARQlyiIcwGAQ9LKV9Wooo7gfeEEMOlMugNAO6UUn5sLithBbKllN10br8BzJRSviGEeB64CXgRhSy9VEp5VAhxFfA0cGbU7xsefwB+Fc2DZsiyBillo1e1TAgbmOrpTuAPUspVQogMYKUQYiEKeXYZMERK2aAh3uqBvwADPX9GeAW416Meegtwn+e5qGF2MmwtlYGC9AIOVIe2xWj2HYo6FvmpdQFkJXcIljo75tu46aWdlZzl93tApwEA5KUFbz6/3vu1r5wmythSUg3hvqe2HJ/tWBgybkpSShDJGEgqvbX+Le4ercsBh8Q7G94xvLendg81jTWG98GzaYiwSvef3G94L1DiccFE/433Aqr5zehxsGIVoEg3RIP3y99vFlkmpaTeWU9KUoru/SZ3E4eqDwHw3ub3GKATJxQ5nfz1CgYEqKnu2/8wXTO7+pEekWy+1TYppdSVBO2YUgVlnaG01LthBUUNevcBg41rC2HSot38sOIRnq9S2s7do+/WJX+O1x8PIsoanA0h1be1m/IBZf796niRsbMVMf1lJn3ve9Ze+S92Da5m0qLdfPzV5VzU+0KSrEkKMRwDoqquqc6wvfmVy+zGd/p0eu1fwaT9/t/WcuIVuPOX0RSRemc9VQ1VftLA2vzGrdxEg2s1k4DjXz0JL17OZTMvo39uf54494mo8mw16PSh7lsXwMPGavUtSZYNn/c92cc15avyn3fXHlpLx+SOEUucjfxoFXkn9wLw0crJXNL3EuVGwCGPinHrNpGbepiK7//KhkPrOav7WVjuuNMwfbU/BvbFjSX6ByyBzwGw6BVsIyyQBa+ufpXBeYPp1bGXmdeLOYpmL/L0sd0s4UMGG4xdgVCJPz0crz8eNH/If/6TF757AYAxhWMYVThKNx/Ly694x62qRU9D/UJ697Rz/oFdLF5/PRN6TGh1CfV1h9ZFLIUTzzW0uk49UH3AzzGWX5wo1pZRSZYFvOfra17n0r6X6hpw/3L3lyTbkrlr1F0tQoiaMa0RLUKl8X75+83Ox0gNc9WBVX6/J8+cTO+OvcPW5/wt83lp5Uu8cNELzNuiHFR8uuPTuJNlsYYQgpSkFO/72huO0+XgN8+hkAO/AJ7Te27XXy9uQLFbZho9HpifiiKskooiEZQWcO3324U11YUlzSJlpgWZKSATSTrINBCpElLciGSJcEhIAr+PZvX8hR1oBBIrbmlFYvWRcMLqId+0pFwSLpI8/4N+4yZJuLxhNlxYkQgB06ZNM0usRULCNQJ1If5qdcIawxJ3/kQZBBNmg4G31OhSypeEEFOBbsAeoD/wZLh616AI2BtcDDEAhUR7wxO0EhjuyfNbTdRaQFc6QQhxMfCw5x2OSCnPEUJ0Av6OIq2WDPxSSvm1EOI3wBCgwPMO/5RSPiGEeBIYC7wjhNgA3IMicdcFyAD+LKWcbfRyZsiyL4UQDwIpHpG5XwFhjz+llAdQdJuRUlYJITajqHDeDvxVStnguXfY878GWCqE6B0m6b7AEs/1QmABJsgyh9URZPhRhapal2iqJ4kicu+SwSrp3TvoL97vGhWsEpWWlOY9RbZFoOISONGNLBjJ9we+BwhyThAOeqRHUXYRWgoykMhySzeTFu0O2hAwmiBk2jNNSeRFit3HjQmQpXuW8tL2l5h9YjZ/KPhD2LQiWaiGkh4zs5nUEjkRYckSJiXrbx4jwvTpvLBCkcS7ZditpCalBKXz1Z6v+GrPV9xbn2mYTFIIr7B6i873y973a0ePLXmM5ft9J6qrDqxieMFwwzQDbWwF4pjmu7yyyicRrUp2VtRWkJOaE/RcvBDYpvZX+UhWxUNVAKZP57NN7zKp+qBf8MuLRhmSaw2uBkLJ0x4NYRcvsHyN7ka+2fcNk4Caxmpmb1Lmxp8P+TnGrcAcXt7xMk8feJp7z7iXs3ucrV+eKDZDq34IL4FnhI5vzGZSmW8MKzhYQ5JlOXs620krydbtX703+kZFq+UETJ+OO8PNhiMboi5HokNL4nTd9jHk7YkZGaHO43rri+P1xw2f++fKfzJ/63ygec5Ddh3fxXub53JFCG/Qx+uPc7z+uNdmY0luCXoylx2SO+iERg/r0mVMSlHqfuHiq7ljxB2tQgKd1EggGWL6dCZ95z8fH1z0KIyu1C3znxb9iUmLdjMJ2LDoN4wf9Su+fPMx76FMddl/cN4w3NQiHHySyRsOb+CMbmfSmpZh1x5cy0NfPMSZXSMTAjA7/kWjIj/0wxVkHAtxYFQSUXLechyrMz6M0cX06eQd28Gkrf5rx/Vbfq3M/Z62Mmr+GgrV+XLRdNZ9spkh+UNapP3r7S0+3/U5h2sON/tARO+7aSX8jDQ4DgasCUDHa66n3Ooa1Ddu7+b3QcT9bjqndWbT5eN089t/cj8vrXwJ8HdQBorZi5U/rMQlXYw7Tf/5eGBS0SQWbF8Q9fPqeqfRkcVTx6ounZJqr0q1WP46QIgrJMySUr7osTuuJy30Lynlvzwqc+/q3P9fKeW/d//tkhzgTZ37T0spZwkhioF/6tx/zGP3fCgKyVEdcP/B7n/86Jt9L940XjqbHhf2ZIslKdkikpItIslhTR848fn0Qefur17/2ekNP5RfK2wOq0iyWyw2h0XY7JbU4jM/kR3y6mqP7CpxHjswXNjsVmGzWyye//acwn3CarO7mxpzpZQZwma3YnY/Kt1YBQ1W3I2N2DKyqndb+xxe3GizWpOtVmuK1Wq19OrVazlgP3bsWFFjY2OuxWKxWK1Wi9VqFVarVaSnpx8H7E6nM10IkWS1WqNmxqWUPPTQQ26n0+lyuVxuKWV9RkbGLqDu0KFDp/Xavj3911ZrpsMVtHf3EWaKUNLGgPt1KBKCe4B+wNtCiCQUzsZYakNBf6C3EGI9sA/4lUel83pgriZeOgpB6IUQogMKMfffgYkKIcYCj+NT6cz33HoVeFRK+b0Qoj/wAvATFIm5jsAUT14rgSeAZ4BzpJQjPen+DZjjafMWT1xDmJmnHwBuBdYDd6B0spB6qzov2wMYhqLK+RRwlhDicRRpsnullN9FkNxGFMm094GrUVhQvTxLUWytkVyQTFptmq7B/M1lm1l6dCkA25u2s7hpcVCcNcfWUHG0gsc/eJyKSt9Av3ixEre6utp7HUscbzxOxdEKqIKKhgq+/PLLIKkeFeUHyqk4WsH6DevpcLCD8hzw1dKvSLd52kDfvsxxrGDTyUN+z/bJyKF4fTk11T4JpfLycg543qnR3ehNT8Xy5cvZn+rbGO+q2UXF0QpWrlzJiXR/EiGjIYMd1Yq3lu3btpNsTfamrUKtw+rqajZs2EDF0QqWLFlCslU5UCgoL6eiuoKa6hr6ZvQlpy7Xr4zq+wG83RDc5sfmjmVxQV/QxN9WvY23h/jiDvQ8r8Y50XSCmuoaGhr8SdbAfAvKy6mrqfOLd/DQIVZ09V/OrjyjhIFF/mUIhwfX++xlBbaxV3e+itPlJKk6ya8NHjp8iPKGchZXK7+PHjmKS7rY6t7K4rrQeavfuYIKltYvpeJoBWvXrcWxz/cuda66oPYQiNVrVwfF0esjX55ezP46Xzs6b1ceNfv126FZFMybh1i5lN41yqb/8M45NAwdxQFP+9pRuYOKE76yHaqto6auxu97dU/rwfrxvVnarT9CJ/+C8vKgdqH2H22ZP17vvyZZ9M0iTmYba42v27kOgKc+eoq7ypP8+qQKNf3UqlS/8Qhg6bKldEiK7YZWhbaPLlu2TGkba9eStDeJ/XX7g8pavmULBwPqrqC8nO0H/SVbvfEDvvWePXtIsiSxpHYJF2vSDqz3FVuVs5OFy2dRWOnvhStvq/+4VvPhJ4zL2Unv7b5vsLYokzkr59BzcQjdMRPYenIrthobf5r3J/57kDLnq3Wm9oWVK1dSvaUa5959fuU6LfU03bZeUF7Oyarg9rJl6xYOBcQ9cOAAqVWpLK73hTdu3+Q3hjmdTpw4aWiQ1FTX6I5l2vq1YKG8vJyKHkr55346l472jmyv3s7MvTO5r/g+7JbmeT/Wtqe6nLqYzqUF5eVB7XL//v0c8+RRMG8eWcdWkrPeRxDuW/sOSeN/HvG4o6bnrNnFuOObeP2DMwDomd6TiiG1bHduZ3Gjf5qVxyv9pJO03+ON9W94wwPrRNsXFy9ezOH6w1QcrWDNmjW4drqoqKigpsH33lurt1BuCf7WKgLraNeuXWzWxC07WUbF0Qq2rN3C7bm3s7n6d0BwX1TTWbduHan7U/3uOd3OoHwOHz1MTW7zxnu1b/3m7d8wuctkUqyKZGfZgTKcTmfQOu1E04mgeW3vgT3U1IcuR/6WLbrj8dJ1S3Eu7uv9vfb4Wm+ZtPGf+uIphgTU18ayDd62qEXelq1+zx6oOMhB1yGk5xClrHyz7nPNQSTrWHVd8m3Vt1Q0hF4LrFu3zlsf69etp+JoBcuWLaOjXd8kxScHP2HJkSUM7DCQ60+73lu2AweDxzeA9UeVNI8ctVBTZyxlv6esjGUVy7yEi5l33bZvG9v2bWNQ4yCy7aGlJlUUlJezo2Zn0NpxYdlC0k6medtVZWWlXx/9ZNMnJJ8IXhtrEelew2idttW1lYpjFZTLcpzS6V1HfHn0S/5e/XeGZg01nYe2XLt27aLa6V/G0+euo06uQaWc3EteYvG1wQeu87fPD3IIZau2+aWl7jPKypTxqCbEuqCmuoad1Tv5dH0tE5jgd69g3jze3/++t0xHl/03FcW+vJ/94Fnm7lf292fknEG6LZ2fdP6JucoIAbWe9u/fT0W9kp/2/bb/sJ2KCl+49vup8bbt20bFMc96YtVK6rb55o9du3dRcVK5N3LA5V2+2vDvI7dk5/TsYbc7djaGt3vb2tj114ul+FtFE+Ck7iRaqqdhz/rVR+f/zxohLnED5wQ+e+yLV5+VUpYLIS4F/oA1SVjsyRaLPdUq7CnWDmde+5e0krOqjn/3/kXOYwemWJKSrZaUDJslNctuTetgTykavcaS5OjobqgtwmrLsdjsvkYqLLjA4cLiADjSYHWtnT3bz66KlPISACHEvcAlAcWre+SRRyYD9hdeeOHPbrd7gs1mE8nJydbk5GRbWlpa7RVXXPEckLVq1aqfulyuIofDYUtOTrY5HA5bSkqKq3PnzoeADk1NTXlJSUn2pKQkS1JSklpGB4o0FXl5edz29tvoEGUqUncqapHVWhNWHlKsANjhIY/6SSkPCiEGAt8KIeaHMXm1FOjq0UR8HIWg+ikKKfeSJt4gwGuXzEPO/gd4XUr5tk66fwIe0AhWHRRCjALGAa94yHmBT6ptEIrts0aPJqR6IjkYWKdJdz/wB8+7vhvOnJcZb5hu4GXPX8QQQqQDc4B7pJQnPYXPBk5HsU82SwjRS5oXo7oFeE4I8RfgQwIYSk25pwPTAXJ658iu3bpSeThYWsaR5yAHRRKj6LQiJoydEBTHtcPF4vrF7GQnObk+qY0JE5S4ixcv9l7HEkdqjpBTkUOX9C5QDWeffbahWtjWlVspp5xBAwcxoWQCOQeUcp417iy/0+ClS5ZyaL8/WdYjvwfFjYWknVBs7BXnFFNcVEyx551qm2rJOeQvrTJmzBj65PTx/t54eCNzTs5h5MiRDM33n2g/6VrPUo/qwe1T/ovslGwCzaCrdbh48WIG9h7I8qbljB8/3mvYlgkT2LR5LkvXvMZvrprlVXUKNqeO99216FfSjwnDJviFdTzYkQ+qPuDuUXeTl54XVO4jNUfY++80tg3xOTIYd9o4ih9+2j/fCRPYcewuHvnktwC8dPFL5GcWclttBb/44BcA9OjQgz6OzIjbifZdAp9t6NrAtP9M4+Wfvcz6Feu996dXTKe4ezETRiq/cw/l4nQ76dOrDxPGhM5fze+Ja57gZMNJXjn6CkMGD2FCb99zNY015BwOLb00YOAAvm361i9M793PPvtsJs9UVKJmXz2b5Nfe8LZDgOJiXzs0jS1b2FH2LQ6nshHq3KkTqZ50Fi9eTK8OvTi4z3eKueXiMSxv8led++N18/B3aRGACRNYeJu/aq5aam2ZA9vihDETFNUbA6jxrR2tFBcX+9WFCjX9nat3srNsJzcNuYkZa2cAMHbs2CAPZLGCXx8dPZCcozkMGTKECUUT2F65nf/M8ZU1NSmVkuJiSgK/3ZYtFDYU6krUBH7rj5s+xmF1cG72uVSt9jlG0PZHgKVeNWB3UBuT5eUsOuFTAy6w5dMr14Jj3yZvWFp6GueVnE/XZo7htvU27/wQODeo33XEiBGM7DKSL7pLln77DAA/H/xzrh5wNaAznm3ZQm5NbpC6V98+fekXUN4ZJ2bQJ68PE073hX+/+B3SmtJwOJSNhM2m2KtxOBykpacF968tW/hhuY80Tren07VnV3JylPKXfLeEfp36sWHF81wGDKv/TrGjF0Yawi3dVNZV6rbNxYsX039Uf16reI2U5JTYzqVbtgT1ocLCQoaoeWzZwsIVC+ni8L2zzWKLbtzxpLds9TLS0n155nfOJyf3BEXdi5hwpn+aO2dlYGn0rcmNxo7AOtH2xQkTJrD3xF7ePPYmw4YNY9xp4zjxYQ61J33SEnarXfdbqwiso359+pGpiZu2P435NfO98/6efz8EGPfFXw4ezIQ+/mVucjVR9rZ//M7WzqSlHNF9f7NQ62kf+9ibtdfr+GfH6h2sqFwR1BcraiuC5rXvvhhA9X6foINeOWR5ue54XNitkJ6auJbdFj6r+wyAtHR/4Qm1H6roWdTT1xY1cJZtJu2kLy97k53MjAyvvanevXuTFuM1ZyTrWLXOO6d1xl0T2gb34MGDWda4DIBhQ4expGEJY8eOpXOavunjp995mpzcHA5wwO/b5efn0zuvt9/4BlBVXsU3Td+Qm2vl5DHj/U6nkhI2l/k0zsy8q/qeW1K38MC4B8LGVyJvQR6F7c5tft87Lc1/vK38IJv6Kt+4PjhvMMXdQ7f/SPcapzecztbKrUHhfXr2YffO3RT3LabJ1cSO7Tu89xbVLeKeKZE5BdGORycbTvqVcdNb6bg12imFXQuD5i6AJWIJdT/4z3OFHQr90tp4eCPVc59heMEhuh6oZsA+pX43lmT71XXBwRocnntpa6uZ4NjiN0e5y8r8+nJe13xycn0ShL379SanwfPt2QIumDZhmqm6eG75cyzcsZC5184Ncpam1tO7te/iPKH0Ze37LflyCTnCt4bQmwNWf7OaPbsU+7ojho9gTNcx3jgdD3bkoS8ewt64ica+l6ePzC5Kbix/q2x+z15n9yvb3AggpayFAPZQAynl0TD394a5X67e7/HAfAHY8ahk9nhgfkn3P35kAR5EUZ1T/1KAfj0emD+s+x8/SkbRGlPD1Tj39nhgfnL3P36UgmLvXPO8TAG+6PHAR8nd/zjPExYk4rgAIOtMo5W9zLfgbrQ5HE0W5AkrjU6rkC4rbpcNt8sm3G4bbneycDaNKKzYlfbII6CQVHbAPm3atHWA/ZFHHvGGae/j4Sp++9vfGlXdWIDhww01TzoBJCV5BWZcGKiA/ueii2xXz5rVy+Zy6XE8tY8pUliB3vZuBj6XUqpioAcBpJQbhBD1KFJphgOsp92o+AaPqiVKHVSDl5A7B7jf87sb8Anwd9V2mg6GAt8GhA0BXpBS+mkVCoU5644i3AUKQbZBc+0ly6SUzwkhFqO4N1wvhOgtpTRUiTLjDXMnOhaPpJRhjUt4KmYO8JaUUnXzsQ94z0OOrRBCuFGMCx4xSCYw3zLgfE/6fYHw1lUxNmqp9V74Y4CeepdEQmkpn3f4hCZ3E009zuS8M3wTi2rsGYztp3ltCYSzAxYHewWBSLYlB3nbCpVv18yuDOgcbLEq0xGsmFWSoy/L36tjryBVmZzUHG4ddiuvrn41ZHlD4aLeF/HxNn37ivFUG9azrWGEi3pfhFu6+WT7J9w4+EamlExBSsmrq1+lT3YftlZupVOqvmF67bcMtH+i55XVLEKVX6/eBncezPZj26lpCm3/TYtAW20q7r7OmDgw62nParFCaSkLMoLVr9T0i7KLlP8di7z3tH21paHWR25qLs9e8Czo9B9QVLy+3Rc49xnjrO5n8duJeloB4SHuuIObfnE917+nSCjcXTWepLL3vbaVhuQP5e7H3giVhGn0y+zHYQ4z/jRjj79641BIe1SlpSx89/Ogdnn3debslQ3PH8aJ+uPAMlPxKS2l4GgZn+1QNvtX9LtC+VaeNbvD5uCARl1m8e4vuVrj6MUIb6x9gzmb5zBjygxDxyFxQWkpQyb148mvfaY3ug+/QDmCNcCILiOalWVxTjGrD64OHxFYOLGnV0XJbrVz9zW+seOKkit4r+w9CjMKjR43xPeXDGfNIYWEu//M+xX1L3sA0aPZPAaOM1dfemNIteThU1/iiaWRq2sFjpl3HB8HKxVNkI4xaBdG5iG00J03S0tZsERp18m2ZO6+2rwqnPdAzwTUcadvTjFbKsop+vk1uvUsb7+NBR188/6IcQ8yf6lPQ+WGy282nWcglu1ZRrItudntHCJXK2+uzbKQzwd81pLcEsqO+uyZSymxCquuWZFwiNSpUUlucVg7t4HITo79uNg1s2sQWfbohEe9XrdbAu6A+jaqfz2tmcD5UrV1eqTW1HbREIFq12k28304HBZ6vntNY01EausbD2/kux/0lazuO/M+U2kMyR/CvOvm8fHMUTTIS/ihy1m25Zk9vy597TLTYmUeo/+dPH+5KCptaSH+0n3XMg1IF5AuFXIlFUx4mdOFxIJ0WZFuC25pFVJacUvVDplNSGHDZbEiLTbhtlhRnAJYhcR7jcSm8dzp72BAvVbuW5FCCK+zAlDsrgcSUU4UkipPE1aLIr0Uic2y5oQ1otgsCz2QvfNOoM0yPGW95DUYg49EQghxPooE10We33lSykOe63uBFR6JLivwZxSVWrfm+UygUUpZL4TIBv4I/MNzezOKZuFXnjw+kVIe96jrzgceklLODPEmB1GcDSzz2L9vQjHxdbMQ4r88EmS9UDikXGCXpmxagqwHHhNenjIKKeU6IcR+FAm4kPVpZjeq1U1JRlF9DDuqexi+V4HNUspnNLfeR9Er/cJDdtkBY1eKwel29uitWoCH8BfvM0SoCXJiz4lRGyFva4iGrNISbA5raEsZeosnbZ7NIXjMlj0wXrSuoB02h3dx3y+3H5uPbuamK24Ob2lSpyzRGo02Q660tpesDskdvHY9MuwZXunHgZ0GesNGdTGWpvKDhiC6qPdFMCo6+x2VIwewcY+ywB02eAypJuyAqHWdlhQsPWAGybZkhuf7nwp1Tu3M4drD3t9GtsgCYaa9jO8+nj7ZfSjIKGBC9wks3r24VTxdBeLC3hfqEs0AlJayfUMHFqwPJtyNSEaViG50NXq9gurBqI1lODJ458p3lLqfMdNvfLDEweC0mf6ojRNuXCvqWMS6w+tCxjGC5c47mcidhgav9eo8//cPs2DuVopziuly/iP8Yc51Xvltq7D6eTE8pGNnRg8rPXbXTtSfaFmyDIVsLTtaxodbPjSMo5IYWclZpA6e1Cy7QSWd+nnJsgx7Rsi4oWw7qoR/fnq+YRwjqO1rTOEYzup+VsTPB9kKCvh9Zrcz+dXIX/Hi9y9GnLaKK0quwD3oehZkfQI0b7xXEThuhlpv6PXTx895nP6d+us/UFrKgsyPgoIvnHS9n303bX/WkoN/HPtH/m/d/3H78NuRSBZ8OY3zDOycBpYtkJBrDun012V/BZpnB0+F0XwzJG8Iaw+tZUjeENLtiqmLP437U1i7rtrDnhsG3RBRWVZPHsW3+5Xnbx9+O+cWT+ZZzbg3BYWQrnPWBTmoMsKNg2/kzXVv0jenb/jIKjxjx4KMeUHksHa8/e7ioWw44tuCFY28kIF9LjSfj0nkpuZydf+r+d/v/xeAYQXDWpQsC0Rz1iizN81mEso8Ar5xe8HE7n51beil14PA3tMlswuKaaPYIdLD3p3Hd/r91o4j4eaRQDTIS/ihYCxIuafJnvFX8Ep5FaIQCP1RCB8tKdYJZCcQIW03gcSKdFpxu224pcdAvkgSbksSLpuXnMLtMZDvI6S0RJUOseWyCne9FVlvxV1nQdYJ4fVkqXq61F7Xoe/ZsrlEVAOK58vWO3mOBaT8wmObTCXMaoFLPOG3AROEEBNRusNm4AKPGqsAPhJCpKGQg8tRpK8ARgCTpJSPBuQ2CvhfIUQdCun0nJRylufe08BsIcQvPWmpJ70voLS9B4QQD6B8xzO1JJwHv/ekLT3vcA6K2ualwEYhRA0KeXYZigqmVgJqCKCqdn4MPO8x0fUwMN0jrFWPYl8t5ObMjBpmoNL734UQKz2ZhcJY4EYU8Ta18A8CrwGvebwRNAI3qSqYQohdQCZgF0JMQTHotkkI8QrwkpTye+A6IYRqRf49FG8GYdHk0l+UDs0b6j3RSBSD+irMSlJFk2Yk97REoxHpqJIAcfV2hDni6cnznuSLnV/QOa0zm49u5qs9XwVJmmnTMwNrlIcjieQ0Il6kmlVYmVIyhfWH13NmN32Dvy3pYY7SUnaXf8iCVYqo+hWX3ICZpbFaxmi/mZ70XOB7myXLumZ2NRWvIKMAgNGFo1m8e7Hp9OOJcN9ar35PyzwtOF7AeGy32pl33Tyun3O9n8FgFb8dYyje7t2wUVrKis92ejcpqSVnK7LvMUC0dR/K4QPAg2c9yE/n+FQHIl04g7I+wjWdAAAgAElEQVR5fHmVOUsKWclZ3DPmHq+68DX9r+G1Na9579cFGENuC7h9xO24pZuPtgaQHQHSm//vvP8HuXrK/SZRWkqGq5EFsxRJvtzUXOoLT4etH+muLy4vuZx3NrzDWaed5ecIJFIYjVmhvPlGA+0cMrJL82z83TzsZhpdPoGHRBi7UmwpEW9yjca7X478pZegAMWEg2osfO3BtYA5RzgPjnuQIflDsFvt3vpqjtR1LJCalEptUy39O/Xny91fAr4DRYBHf/Io+0/up1uHbl5ipnuH7l5JL6O1tlaCNtL1irYPnF90vt89u9WORHrXr+f0CDJ5pIvRhaN5c92bxgRqM5GbmstDZz3EPQsiU3uMBFZh5cLeF/LPlf80tQ7rnKqvHhstAgnDzoMnoGcRTf02PTr0YNeJXUH3tW1mYKcBfL3va9383rriLT5f8VP2Ve0DFMdggai9+QYWfKS0y9LhpVB8Kbzjmwd6ZPWgMKPQz2GRGTRHsj+WWgE/FIzF4Tzxxrsd0l4ss7tue+qB+WNQSDKvoUCBdNpxNTiE05ksmiypoikplabkZNFEsnAqfzixC6eW+Kq24j4pBCch6K8q4FpLahkRXt7rqVOntv5J76kGH2H2OnCzxwsmUsqfGT8iJQr5pYdbUGzYBz6zCMX5ol56+4AzdMLPDVt+Jd4SlLYbCD133R96/tRnb9JcfwxoNSIHmslfhRk1TO1K3oIiaWaGZFtKMIGvQvfISErZwyD8Ns31s8Cz4fIPhBHJY7VYE2KR1lyY3eBH867aQTzc8+EWOM1SwzT5bK+Ovbwu6C8tvpSv9nzFJ9s/4Zejfqm7WDCzKItELVELtcyxIKqi8RDVEkhNSqUws5CXLvEX8rQICy7pwi3dUZU7VkSjmXYjkV5CNNo2qkcUB7632f4X6UZUlYqLRsUkGoSqo3gS5hC8OVXV1cyqQyXCeK+to3BjS5pGfe6eMfcwrCAyT8AAk4sns/HwRr8NxpPnGnsFn9hrovdaa1voyA2Xs/v4bhas9Z3ch1I7bgvITsmmsq6SB8Y+QHFziDIPImn/KokbiSpfoqBTWic/6aRle5aRnZLN/Z/dbzoNbV9OpIOlSGA0t2nf7R8X/sPvntn50CqsnNFN2WdoJXLicfh0uP4wl75zKX87929hyaFeWb3YcGQDKTafrc/fjvktd86/01u+bh10fW+FRDRzh1qX2jlJJYlvHnozr6953Vtf6thv1hyCWp5o1gRPnvtk2L6Qn5bfIpK2QgjO7Homu47vChlvYKeBcVtjXtP/GmZtmmUoAa7uM4zGBPW68sar2J7bjwXr9nNVv6t4d7O/iQaBYOPlY/l2v2Lq4Vc/fQUC+ou2L+kdKGQ6MslJySErOYt9J/fpej7XgzZeSMEEnfYUKHGnfT7Sb5La+C3T8oblgutbkE3povFQrqWmPs9S3Zgjau1ZljrsuGxCUIli6Hw/8IPm+gBQiT/5Vd3mpa1+jFAIsh6xSUrqEVQ/Cpg5nnpac+0EdgHXxKU0cYJAGIr+Nroa2+wiTQ/xIKu0xqWNNpqh0o0Z6WHSLpoR/rzoz1G7xW6uZFm0ZU40acdA3DL0Fi4MoTrQHInDln53L1kWx/Eg3OmhuqAMJ20UCLXsiaCGaXYj98JFL9DkamLWxlnsO7kv6vxUMsnsgjIRyLJooSWxIkWPrB5+ZFmnNH07goEI7A8NrgaDmG0TY7uNZd6WeWQ4IpfYC4dYHA41Jw2z4+59Z97HU18/FXU+AGNPG+tVxzebr1ZCqi33Sz2odfD4OY/TI6tHRM96503NmKatn3jMUduqtwGwdM9S05JUajkeOfsRCjMLcVgdCTE+qHV/Rb8ruKLfFVwzW9myqPOv2fWcl4iLor77derHW1e8xc/eMxTiaBF4CT9a5rDVqO8XZReFVP1V27fR+kEdB/vm9PUeClot1pB2fY3Koz2cUL/t8xc+z7PLnw2y8TaiYAQbDm/ADLTrr0j2RA3OBv619l+m8jCDSlstwLldLCfePcu+84JU4SwAVgGzga+B74C9U6dODS/a2o52tMOUhFjz/eUmAIw2qW7pPqUWaeEW1qEcGhg9e6ja5z1Tz7g/RGDgPwaLvEgn/Ax7BlWNVWw4Ym7C04PZk0gjxESyDOlXv0bfK9YL6VDpXd7vcsN76jtHKlmWlpQWkaH9WCHw9Dkcnjn/GVYfXM2b6940jBPYH8KlrS7iIiUX1U1naxr4V2GWsO+W2S2qfqF+p9cve52s5CzmbJqj5GuyzuJFhkaSbqTv3SW9iykyJ5J0zdaX1maWlNJPde5UwC+G/oKS3BIGdR4Uk/RsFhtndD2D7ZXbcUrz5HVLjed6iLc0qBkk+sGQWQSai4jmvdTx/KcDfOrXIwtG8v2B72NQQn1o52uzCIw7Y8oMP8Kg3lnP3hN7Y1NAQo9voSRxAkmvlpAsC4ShHc8WgsPqSGgJVpUAMyTLNHsM1atyQXoB1w+6nj0n9kS0vs9JzeGnA37KzI0zvdK93bO6c+2Aa3nsq8eifodo95Lvl70fFGbU5gJtm+mhzmIjhaY/TnJsfQzFwPnNU6dOLY+qcO1oRztMqWH+PtT9AOP9CQujReupRpY1B0aL8sJM89644mmbqiXsohmhIL0gqueau8gys1Eyo/5nFC9kugYLU7ObN4FAShlE8oXDzKtmctP7N8WP1DD4JpESGH1y+tAnp09osixCNcxo37ml1TBDIdy3Hth5INcNvM4vbM/JPdQ01vipHBrVhbZObRabaVuGKuI13seT1Pjnpf9sdhpGG8hw6J3dmz+c8Qee/kYRMm9wtr7kSCxht9oZ393Yg2mkEELw4FkP8o/l/zBNbjR3TmvumNaa6v3zrpvHrR/c2uYk/C3Cglu6w87x0byXRViCpHD+dNafmLFmRkhHFc1BJMRQIBGotp+0AI+rf1v6N90+0BrfWvteLSFZBv7Ogi4vMT5YbAn87ozfxT2PUG0n3PwcTrJMhRCCc3qeQ25qLoPzBiOEUKSkPQ4yA80aGI1t1w68lvz0fMZ2C221NJKxMVpnZu+VvWc6rpYs231iN2O6jtGJ5eYSx+a9KF4q/9hOlLWjHc2Dmd3FSBTvBYWevzuB4UCG569NwGiDVNVQFdXiv6hjUXOLZBqRLKSjWfSuPrg6pLRAl4wuzLwylGdX8xvQWJzQReyuPAYbAa3dnkjQXDVMv7QC6q4tbC4kMmpba+HaymurX+P3C0Jy+RHl1Vyi1wxBabafRFpf6uI/ESTLwtXjoLxBXD/oeu87qs43HlsSfKKrVw9ndz8b8EnhRUp+xY0sa2OSMZG098IM34HJNQOu8ZN40WLlDysTVvKspcfLWBFQkbQrdbwJ/J/oEELEpf/E65v3yurFfWfeFzKO1WLFYXXE7ADRbrWbVp2OBmpbiWR8DFe/0XrxjTUC+0FLSZZZLVZmXz1buY7SlEdz0BpzktG4F24sUtcuZr1JD8kfEmSv7vqB15Ns8/mrD5WnzWJjYq+JuvmF8wZsBD8baxHUfa2O0xwzeZYf1efArALSLY29PT+jV6lpRzvaAZizWdYVGC6lrAIQQjwCzJdSRubXuZVhZMtnX9U+r9eUSKA9MToVsGzPspCDe+CJYSBCGbKP9rTFMI8YbwBaYkMR7cbJTN0lotF/8D+VjViqDRG2rcwtmxt12Yzy1P6PSZpRGviPNp9EkJKNtD2q0nBm1AtAMdp87YBrvWRZpE40EoHUSgQSI9pNfMeUjnTP6h4Uvq1yG498+QgX9b6IX476pc6TiTFWtWQZWrutmZYsi0F7PFZ3jNfXvG54P9R4bma8TyT87by/sfrA6pBxSnJLePead0PGSSQ0Rw3TqP0EjjHN6XuG0pNREFotJVmWCEiEMRfCzzcpSYqziCSLvsObUN+3d3ZvFu9ezNB8fz+bLX2wHq/xPvL1cwrgVJm0ycCMWJepHe34McHMajkP0B4VN3rC2hTUU4vLii8LGa+uqY6ZG2ZyvP64N0xv8ZAIm9JYYt0h3wmgujD4oeoHLn3nUrZUbDGdTlibZWY8ExrE0TN6G4syxRPxIvjaArxqmFFIlsVygWdmobvhyAavI4tYLoyjlSxrbj56WHVgFZ9u/zQu+WsRKQkTKdklhAhS14ykf7VFNUxT+Ue4UI/K6UaIdzxRr3gCM7Jr+WNDWyKAYjHeVjdW88WuLwzvh/SgK0RM+qWf3ao4zrla6ZUgKZQEIOOjgQXzNjuN1DCN4rUEwvU17X2z5YqlzbJ2hMY9p9/DTUNuom9OX2+YXr3r9evJxZN58aIX6depX9i4ZqHniTMezzQHRnkk0QlgHrAUeGnatGnj4l6YdrTjFIaZGeMNYIUQ4hGPVNly2iBLrUovhNNPv+bda3hr/VvcOPdGb9hzK57zizO48+BWIcvMTNjRTg7/n73zjo+jOvf+96yqVSzZkqtc5N4LAWyKbdZ2wDQHQieBELiJMQFSSb95jRIgN/cGEkJoSug1xKbZGAwu695tucqSbRXL6lpZZVVW0u55/5id3dk+s1rJJvjnjz6enTm9Puc5T1lbvNbv3d6KvQBsKFYI4LH9xvqFcZctxMYQ6abxn8Bgcqth9uDt3rnaTkIoh8VOZyedDuNOd/QSqN2di7V2xdiFtc3arXQCwbffw9kU6ymivNnezDLLMp7f83xU0vOd09p6Gh2P0fAYa8iuyJfQwH804Nu+Rg6yesqrSm/vrwoucXMuHDp7swzRyCvUuHJIB9vKtkV9TEdS7nDjKVQZTcIUNs+3D73N45seN1yunkK4OXGu7svRRLi9N9K9oKdh1GFTKCZwNPHWwbd4ctuTvZJXMHTLg2+YOR4K6Ynp3DL5lojSFkIwPG2412/t/5FCuP7phZcmSDfXfq15oKD2g4PkEc8IMivnpgE3AaeAlTk5OaEPv+dxHucRFGGpZSnl48C9wBnX371Syid6umDRhmoXR+uq3Bd61YBMwtSjm/oH+R/w2KbHSHzpdRatK2XOmnwWrSul/MlHITdX+esBBNPT17PhGJUOiQSRqPNFM++I4kXxYHYuHDSNQCBosjcBhDRK/OPZP+a6cdf5xQ3V5h/ke1Qw1TwiRaez57xn+zLgdNssi/I4t5RYgODq6JEioJ02g2tAKIlRPe0gMWZv7mxKBZ9LkkbRtiOolU4+F9Hbe0dvMETX16znj1v+yO7y3QHzjFadjRh9D4b4mHjSE9NZkL2AP8z/g9c3QXjJssrmSkoaSsKW4zwigxF6T696YjCv1j1ByxhZf/TuF2q4/VX7+dGnP4qoXKGgbWuJ5N0j72IptUQt/WD9o9WcUfHoFY9GLd9A0G0mIYx0Vk94fI4WIpEsU8+mvlh9fHXE5RCKhaU3MyvnNgCLUNwfrM/JyflVTk6OHvNL53Ee56GB3hNGEtAkpXwaOC2EGNWDZepRhLpRKm8u15VGtFQGguHlvJfZWb7T88JFWKw+/kmP5RkI3TVQGSid7tosi+QAYvRWJpK0giGqBv6/ZOoeQghsHbaw4RaOXsjSi5Z6xyW0weeX8152PwezcaEinGOEnjK82+no9Kt/T3nDDAftuC06U9QjeagwqnrTXS+3UhpjovfUvPkyzEctDEmWhWnfalu1Li9954r9nN6AL8M/0NwONWbU8KHCxJvigeCXgNG2WRYqXDhpHZMw8cY33+Anl/4koG2hLWVbQjqHcEpnj6n1nUtMbD0INSac0hnRGm9IMtZHPTEa4yccwpVPvfS6duy1ft9aOltYWejxLmrUZhlAUUPP7JtnY0309VDaL7EfFw69sEfz1Dt3tWO7vLmcdw+Hdi4WCtFo20i9YerFS/teCpyWjvkYLEy7ab0ErgFez6ycWwlcAqwC/ghsy8nJmWK4oOdxHl9hhF29hBDLgF8Cv3a9igPe7MlCRRuReigJBtVleE9hxqAZTMyY6P7d4ewZ72KL1pX6/WmhtpueTe7P2/8M4L7hBrC2Wtlyaot3mt0U8f6yqTZoJe4iIci/bES8L7ojtRWs7tH2CqoeOIOlHykC1f3FvS+yr3Jf2Li+BFo4b7ThoD0c/Oiz6N+Qa2F0jkZqi1AbvzfUMB1OR9QkW86Fdaw7Xpa1cZ3SyWcnPotauf6T0NMM1Iz4DEBxutAdRONQ2Z1Lh7KmMgBezXvV75uUkodXP8ymU5u8yvnCnhdYcXRFxHlqodq0Naqe19vQM2fXFa3jR5/9iKO1R3ssj95wKFPZ7G/7MFDZfMduMOciWhj1htkbaOkILIX3ZUJIu4Q629J3f37r0Fth0w6GaDHX9eYdCW2hrn2R5Bmsfh0xhwB+BdwBbMysnJsM3OL6PQrYl5OT8/ucnJxMwwU+j/P4CkLPSvJNFG8aLQBSygogtScLFW1oF53MpO6tDX1i+/Q4s6zT0Ul8jOcAr9Vd703o3SCOW4+7nwcmD3Q//2bdb/jT1j9FTc0tUskylRA+mzibh2M17940tqvmG0pSIGTcEP0c7bkXzXaRSHedg82f5UeNe0gL541Wm38gPLfnOcN5RopIJct84+lZf9YWreX9Y+/3ioH/tw69xcOfPkxZY2DitksaV3E9m+tCJOM+0Ph69/C7LM8PPabPBaZ/b5fhbErRuW329ILEj4porKNn2s74vet0dlLSWOKXxyfHP+HVA69GnJe2zqotyVBmOkLFP5eQV5UHQE1LTUTxI7l46ImxvrZ4LYvfWRz1dEF/P/emo6HXD74etbz0Itge+/ahtylvKo+Idg42L/S25aysWQAMTBoY8LuReRdO6yDa0NIWes9PwdZN3/FS1ljGU9uf8nr39dFfD5rugy8s+BNwKzAF2J9ZOXfRsmXL/uX6/SHwO6AsJyfnzZycnFtzcnL66irweZzHVxB6qJsOqcx6CSCE0HdqO4egXcC6S9DdMvmWsCpi3YWqbtB6312sWTiST+ZnsWbhSNYsHAlLlih/PuiJ8uiVLKttrXU/H6o5xLPfn4F88UWmfbSdRetK6fPyG1EpT6O9MSKbS80dzVHJPxK8e6R7EkFaBJOoMuJFMBLoUaUMhF0VuyKKB6HVMCuaK7x+R3vsR3qobrQ3sv30dm5+72b2VuyNaKxGWpdzSb0tUptlkaSlOiGJVFXCCOFdUKd4Yv/Jmp8E7Nuy1sBMtEDoTn8125t5P//9bktYdqcM2riBvCU/ue1JFr+zOOBFT6TrSbTQW3PFqDfMYGr2vcHki4pkWRSksuJi/A+3pQ0eifdoO6VQ4ZYsi0A67kzbGXae3hk+YAA0tDfQbI8ufRIJ4w+MqVSqYc41r/CTMieFD0TvXxyeLejyPu+zvpxuPs07h99h6SdLeefwO1Eri969durAqay8cyWj+nlb+4lkHQy0nvQWdHvQ1Om47Qerf+DnaGJs/8BO1xwyRuRPnNTnwRcWLAcuAqqAT59dun5LZuXcqzIr5y4FpqI48LsaeA+oy8nJ2ZSjwJyTk5OiqwLncR5fAejZTd8TQrwIpAshvg/cB/yjZ4t17iJGxPS4ZJlDOnRt5kdrj/Jq3qs8sbBn/C0Ek/gIhQ0lG1gkJSfqT7jfxccmAMrhsjuE/xdFX0QcNxCMlOUf+87OkI8GI0iV7IuUQHztwGuMSh9lzKZFbi6Ldnmr9XKn/ujB1FbtXXZ+sPoHAeM02Zto7WxlcMpg/RlFEVqjuS3P/oXYIReyKM/TBmsWjgT0E0eR4E9b/8Q7N3sTuKqkQW8hUjXMSManeiAMZiQ3VH5GoZbP7rBT2lDKmP5jIkpHi0iYFM/veZ7NpzbzSt4rvHbja/Tv09+TnoG2j0iyLMDYDdSeqpFqXwmn9cXr+eDYBzxzzTNkp2cbzv/LBikluyt2hw0Xahx0Zw+I1GbZO4ff4QcX/4DE2ETdeUWDAXHpsEu9fnc4Ovjp5z81nEeXs8vQPFf3yEgO149ufBSA9297X3d8tb3/tPVPAKy8c2Wo4LrhcDrYWrYVMM74O9e9+eqBXgah3rb5T2CqGVGrhcgvk4zkoQfB1j096RRYlYutxvZGQ3mqeGr7U6QnpnvKonNuREJbRNvpEoDNGY8trs/PgMcefGFBwbNL188C7gceAt4AHJmVc7cAa5yi68YzA3fHSlPXNcAC4L+B/wfInJyc48ABIA/IB4qBomXLlnXPq9Z5nMeXDGF3Finln4UQVwJNwATg/0kpo8u16CWkxEeHUd7TzDKndOq6pf3rjr9Saauk2lYdUT7q4T1UOSAyguHkmZPu5xhN/O4Q/nNHzGXzqc0Rxw8GI5t4e1d71MaRUQSTPPAlaIK1cXdsyqwtWtvjBmC1qLRVUmmr5JHLHvF6H8rY67ff/zYAH93xUY+WTQ9MwuS+4ffF4drDQeN1V4rE1mFj9fHVXDvOY+T4dxt+1600jSJSNcxIYFR6AoJ7rGrrbKO6pTooEycakjPRYH5rbdt8dOwj7r3g3ojSMWSzzBV2+dHlXDrcm6ERSFXnmxO/yQfHPqCts42b37vZ/X5/5X5AUSn5T2eWCSFo6WxxewQM1/ddzi7WF69nwagFuvOIltSZ75zdULKBH87+oaE04l96lUV7lcuBrBOrYVBZQCn4UHhiyxNejKNVhau8vlfa/O1YBcLzu5/n86LPdefb1tkGKGY2IsW5oGrcaPcwB7TrlbXVykcFH3HfBfeFTcMIPaQ6ogq0lvhKldod3TcnEqhsWmaD3v1Aay7kPLyhHcfRtOFnlPEWbD7pSae+rR4gKA0WDGrakz/YQlZqFhJITywmtbEUanI9AX3WNSklHx77kNH9Rnu904NgzDI9dFEwWsspTJSlDLznYngM4MEXFrQCf3l26fqnUYz9X+f6e8IkY8movrQF2A3sdJo6323vUxVvT6ru64htG48imXarNv2cnJx6XIwzoAyo0fxVq8/Lli3Tf4t5HudxDiPkziKEiAHWSinnA19KBpkWRg9xHY4OL9thoCzgJmHqUcIolNen49bjjMsYB3iIj0gOjGGRm0vNrr+zCBifb4Gd7TBCf/SRaSPd0mXROCAWnSli86nNZPTJ6HZa3YGRMRSq3q/lvcalwy9lfMb4aBRLF7ozToLdPPY28uvyw4Y5VnfM6/fZOMQoDHVPvlOO1XsHaM4NeZDszs399rLtbmZZJPbRjCAQ4WrUTp3KbDHpds7sQXeZZWuL1roPkLctvw2Aj+/4OGD7a+vaXYmDSG/sOx2dXraIRqQZWJR9yxDBGCus91e5PFhz0D9tBPEx8X5e+WYMnkFJYwkTMicYzvvLBpUxaAR/2fEXQ8yycNBtsyzAWDA6t7RzwtAh1VcKWbM2+q4lbgnSAJLLaxaOdO9NRhkzbV0Ks8yIJJ0v1MOtnv2m3xvLWXQscJ31oKalhlHxippae1c764vXc83Ya7zaS9t/3/3ouwBcP/76sGkbUcNUEajOn5/0ZlaG8pjuTicC2kJldEKQMRtgrIxo+AweeDBs2okvv86i/ZH305cRTXaP0JDKdDKCYPvKoZpDTBmo3wmjL7PobNKdLR0tlDaUMjI9sIDBnoo9vJz3Mtlp2e53eunOYMwyrb21SPbqY/1HJPm+e/CFBU5gm+vvt88uXT8AmAeYUZhid5uccX2TWoaT1DIcFCGZUxLnGmdMR7Mjps3eFWcTXXG2Pl1xtv7OmPaZCK4D/PICyMnJaSIIIy3A7zPLli0LZZNjPvAKcC9SbvD+JG4FHgESUJwQvielzBFCXACsA065gu6QUi4N1W5CiNeAC13pbATul1JKIcRQ4EUgC4gHHpFSfuaKcwC8OvwqKWVkRiPDQAgxFciSUq7pifTPIzBCUkNSSocQwimESJNSGpJnFUIMR9GHHoQyiHKllE8LIf4A3AA4USbId6WUFUKIiSgT4WvAb6WUfw6S7ijgXSAD2AvcLaXUdTozKllTbatmeNrwQGXoccmyYIexX6z9BR/c/gHgTSREG1rpBaMHuzULRzJp9vWs2akwy8SYOXBS8ZYWKeOitkWxi2ZtsxqL6EMoNdb+H2k//HlEZQC8VJ4iRZezi+X5y1mevzyg+sWO0zt4fPPjvPlNb6ez3SUWjG64CS+95lYjnJCRCEciJxQN3dhr+6zZc5vX6ehk2N7VDPMJLm+SXnGSyt5kZHsjjIuoqFGCQPaiPRctUes+MOTmUuViePvBRfS/vP9lAF0SB6GgHZunm04bihvMG2bYtSI3l74H3mWRKk2h8yCjXbsD2TOsaK4gq2+W33vtmux7KIvY1pzBtfXkmZOcbjbWvtGAEWa5eplkEiY/76HqwaBHLnjOJeTmMmXXVrRHw7H942BO4ODROggKBOTmMmTvKhY5Ohi8cyUcSAg7L3zHYSTMXC+D+VFSLSo+U2w4Tm1LLRtLNxqOEyNiIrZxFB8TT0JMgte70PttZP2t2vv74Wc/ZNkVy7ho6EW8sv8VVp9YzdDUoV70iXaOpSWk0WhvDMnk744aZn5tPtMHTfd6p2W6gI/xcyO2/ELNjdxchpdtZ1GlsvcPT5NQEH4f0J9/dNQQF60rJW7PK7zb+XdunnSzMs5Gh4/3nwTVcL9eRNvreaRQ17WVhSt5aNZDAcOoTHxVitgIgp0l9TDug81nE042Jw/qJ4SwaF6/J6V8TgiRBKwOEO3Fv9+/7rWtR1dNOVa+762h/UclZ6QOTkxPzhySlpyZnZE6iPiYfinxHR7Pyw6nQ9raGuzNbfWNiYl9jqan9ztmbS8Te4vXmR2xLbJPUp/45OTkvklJSZmZmZlDEhISkqWUmUL4F1xK2ZGTk1Pa2traUFJSMryxsbG9oaGh3Wq1tk0vLo55D8bHQCKwCiGuVxlmQoh7gIeBG6WUp131+y9XslOAf0opfxG2MZW0EoHXpZT3uISF9gJXAp8DfwFWSSlfdDGsVgATXOH6Syn9mQU9g5tReCfn0YvQQ7HagENCiC9wecQEkFKGk9HvAn4mpdwnhEgF9rrS+D8p5cLwlr8AACAASURBVO8AhBA/RNGNXgrUAz8EbgyT7p+Av0gp3xVCvIAyKZ7XUQ/D0gB94gIf8HtDDdMkTAGJBPWw4ZRO922otiyvHng1KjfTTZpD5O6K3cweNjtoWC2RPLzvcIamDg0aNtJDwZDUIRHF88UbB9/gISJnlhlBMGJZNUoeDOqN7F0f3MWiMQFZHRHBqCFhLXFiMiqOv2QJa1I9jMBIVSPbO9tJjFOIBnW8h4OvNMLZuJE8frOZodlXsObTLRHF7y1Pax8cUxjvd0+/u1vGcLV9M2/kPENxO5xKf1W3VPPYpsf473n/rTuuVu1ILwKOBw2z9YN11wBw86SblXXHdfDSSsv47iWhPP4Gys9ty8sgA9uPSWfgADHqvS9YVB6ZlIT29lsiGfTWRyw6URowbEJsAs7xTgSCl/NeDpjOfzyzzAAWrSslafObLFIvqHz6RU8f+64Xna41sMpWpasMhhnVAaCdE5Ha4UmKcwko5OYipSR19zv+zP4wti+NGiVvbG/kM9dlXqSIM8UZmsv1Abx+6oFWYq7QWshFQy9ym7xIiEnwUn3U9kc0VCC18B1vi8b60ylax0+gGG7fVLrJcF7haO0uh2ftLWs8FSKkB73tJRGgtFFZL+vb6hmUMqjX8u2OlLrReRxq3RiVPirot0BQ+33qgKle78PWJ4SkanfR0N5IemKa33u1nbQCGXrpzmBSuHqkc4N6HgWaYhIMH1IffGGBfEgsrALO7C/a6LtIPf/3+9et3ln4+cVHT+36a0bq4IR+qYMS+yUPSExLzkzom5A5NrYrcfag2Imma8dNpKPL7qxuKGvOO7qp5ou8lyqc0vmYlHJtYmLi1xISEp5JTU2NT01NjUtNTY1PSUmJnzx58o4BAwbEmUymKdnZ2RlJSUlxANnFxdxZUoLmBJKEi2EmFGbWU8DFUsrTAFLKVuAZV9jJwAl0QkrZjiKJpgoLdaBImOH6X70B+Bqg3lqOQVFFDQmXQNDTKAJEccA1QDmQAywE+gFPSymfF0JMB54DCoDLgOMoQkaqBN1pIcQS17cnUCQDE4FPpJTetmvOIyrQQ7G+7/ozBCllJVDpem4WQuSjiA4e1QRLxnXF5hJZrBFCXBcsTaGskguAb7levQY8ik5mmVHD34E2aSllrzHLQsFXqkzdpDocHbx58M1AUQIiMTaRkWkjOd10mpbOFvomKN6D4wIcZoJtUtr3f7vmb8SaYvnipEdrNxo3QqqNie7YFPHFWRHrzs0ltmIvi077SE6pm3luLpcVHaZ/nfJ9ysGtUFuqqJhEwZ6VEXRpbBEN7+srz2UMkaqtfVH0BYsnKO7jC63HA4ZR+3Fg0kBqWmuobaklOd7jtPfDYx/yo0t+FDQP33Yd0Tdy1TYVJQ0lDKozThBHOia7ux498vkjPH3N05Q0lHCs7hhXj73aUHztepQWgJgMitxcLtzlYR4PSelQlAJ04tpx17H6+Cf6I6C/rVbkr/C6SdaqP/rCqJSvSlQbPYz4Mpl8vWH1lOFtrQMFPe0npQzI3A50qOgt9PZ6f/f0u3njoD5P0FpJbl/0RrmjwZwX99/Pmr6KjTHrkJFcYtZ/QJ2fPZ8NJRu89vdiH6lEvXAz3HQiGt6yje5vnZoLHXO2OaI8ndIJubnMPLiL7PYG1q27HcDNXOxfvhwemYqtw6bLAYrbBmoEa0hagv+a7ysZEykN4FZvDTIPTjacDPg+GJLjk3XX0RTAHmx3Z0ogOm7ROp+Lh7Ok7unbLtE0Pm9oXOXmMvXwNga11rJg1BgoykV+99tRK0swnGlX+ENrFo50M+mG9R3GmpMK7byGTQG1Qdz7muZSORS9rh3LwfZTPftssDbtIoa0lPRNUsprfb+5mEnmEGWrC/X9QRasB6YH+vbs0vVxwHjgovjYhGuHZ469bXjm2LTFs+479OALC9YCtLe37wMuD1opICcnJxYYffnmzd8zWyw/jXU4fAmGJGDVYvjbStgppSwKkAwozLIbhBA/BlYCv5I6N1QhxPeAPnhMUL0EvCuEeBqFeXW7Jo+xQohDKAy0H0gpi33SSgdWAXdIKfcIIfqhCB/9FjgtpbzUJdV2SAjxT2AaMAS4WUpZ7VLzHCGlfE8I8Sgw28VXuQboJ6W8QJPPefQAgjLLhBAjpJSnpJSvdTcTIUQ2cAGw0/X7ceA7QCMw30BSGUCDlFJdwU+j6A8HynMJsAQgYUgC1jorU9KmsHnzZqx1+lT5Nm/ZTEZChlf4I0ePUGevo6KlAovFAoDNZnM/RwOnK04jzgi22bZ55Z0cm0xLVwsbNmxACOH+tsqyisLmQqxW5fdR51Gs9VZ3HVJiPQbpfev+8wk/p198P/5Q+wemp03neO1xTrSc4PMJc3g7xhNv6vjxlJ34wq0GuWPnDsqTygE43HjYne7mjZsRQpBXn+d+V+gsdJfnkeWPcP/o+/0OfWob2mw2Dtcp6W3atMlLtWFW3CzGpYwz1NZDCgposXkfRNT4Bc0FWOus7Nq1i6qkwDfwah36xPahravNcD+r8U+1KTeeBQV21pavdX8/VlCAACpd6Q4pKKCxqdFd5mpZQ0tLC9Y6Kxs3baRPjOcwcbDuIF2OLrZs2YKjzeEuW01NDQUdBViaLV5lqHBWYOkKXX41rMVioX9xqbscp8tOI+sklRYLrV2tXuGCYVHSIt4+9XbYcL7Q9lllRyUFKJ6Njp3Jp6XV/1C5ectmxhUU0NHcQUtbC1tObGFq2lSs/ZQy/qvuX8xonwEo46zYWoy1yTMP7Cl2rDbl932j7mNI3BBD5XU2OTnTcYZRyaMoblH2yDV1a1hzyGNS4O0ZnrkUb4pn6vjxECCPozVHsdZZsVgsXnPcYrGEbPN9Z/a5v5fYS7BYLAHHvoqCggIqNWkO6hiExWJh2ZFldDo7iZsa58fQ0M7RrVu3Yq2zkncgj5hTMRxtOupOa9+OfcSb4v3yDATfMjZ2NrrrV1ZWRnJsctC+GFJQQIujxR1frVM4zI2by2vlyraWEJMQsq20aWa2ZJJXp3gW3bZ9GwMSBrjDVbVX0eXowlpn5WTXSSwdShy1zdS22btvL20n2iiyFemaQ76oaa/x3o/2HKEktkQpQ1UVx1uOY2kNnF6M1e5VR73tBZ61EmC9ZT1xp04FHVt2UwflBfnu/UiLwq5CrA1Wtm7Z6h4j2vHUntEe1b3UK+8KZY88dOgQKRU966RlSIGyZmnbqM5R51e3Q3WHiPNpR7Vf8qvysdZZOdV2yi+eOq5a25S1eH/efqx1Vvbt20f/giLGxY4jryGPmekzdfXzSdtJP9pAm6c6v3fu3ElZn+CX6Cabidr2WtbUreEKrgiZpxvjx8P48eQNb6G+o54h48YzZOVKPqz4MKC2osVigfHjedvu04d1Vg4cPECHs8NTF6enHmqbNXY2Yq2zcuDAAeLK4qhur9Y1F6WUXuE213loyfZYz7jdf0bpi23bttE/PrDZhvyvzeTtjEMAtAzNoi4j8H7gi38f+zeNnYo07ZGjRygo6KC+oT4gY7q4tJhCi4XTrafd5dyyZUvQura3t2M9Y6VQFmKxhS5LUWmRew+dljaNjRv91V6dTU6vMWWxWMhryHO3TWZCpl8cW5fNbxxu2LiBjtYOqqqrON7qvb4NKSigpt77EsNvvPuMlfT4dEYF2X990TphLG87PXEHjuzHQIPrU4ezw2sdKCkuoTG+kVOxCs25RW7xW0uDzVmjZ42TZSepaKvwi6O2cYEswCEdVDVXYbFYKC0txdriaf+CzgIs9vD5qeUqLS2l09nplV8k+9yQggJKakoAhfaMqY+haPMmrHVWDh8+THpVcJ6A715uZJ/7pPwT91lFpdlbE1rd7wDWrl/rdX4ZsnIlZxoPMMdWTGpcGaM6m/no8kHc9MpNPDHtCa/01XYqryjHalfSdDQ5aOhowBcHDx90t93u3bsDnlu3bNnidb5TYUIyq+pojq5KR4Bnl66PBQYCg1EkpYajSFhp/1LV8E7RtTknJycb5Qyfqfk/M8C7DBRGUcxFe/YQ6wgqYZeUDT8Ang1R1AellOUuJtI2YAMQVozYxSj7MbBIStkhhJgD/MJVT4crDfU2YAswzBXuceCPwB0+SX4PWC6l3AMgpTwjhIhF8U5aIYRQ7aglACYUZtnfpJSq975YoFEI0QeIlVKqNzx1wNeFEL8B3pRS6hOtPQ/DCCVZ9iGKqCFCiBVSyptDhA0KIUQKim7vj6WUTQBSyt8CvxVC/BplsCyLJO1QkFLmArkA6aPTZUZmBvMum0f/Pv3JqNVnJP6SSy8hq28WGZWe8JMnT6ayuZKW6hbMZjOgbALqczTwRuMbjBs4jsumXsar9a+636sexi6+/GJS4lPc5frY9jHXjb+O48cVyZvJ4yZTdFxhtM+dM9dL0kNbF4A5l89hQPIAcq25TBw5EVuFjbEDxnLx+IvJaPCENZvNfGz/mPZ65YZy9uzZbuP0zmInGa1K2PnzFd5n+4l2NtkVkfuxo8dSXKQwEdpp55I5l/h5lFTb0GKxMHXMVHZ17uKKK67wup00B7/sCA6zmS3veBul/qWrr1IrUlllW8XsWbODGpxW2+u1G1/D1mEzbFBbjT9iwAiEEEzoyia50SP1VNunlrkj5jBBHT+FhdgqbFSeVrx+DRwwgLraWjIyM5g3d56XxFRTQROfVH7C3Llz2bNtj3sMvlD3AhNGTcB8ofJ7zaVr2FW+iwWjFoS93VPLazabwWzm9+/dgt1h5/LLH2LCiDlMQFHnVOdQqHFvxsydrXfS2tka0PZf8Ihm8lZUYOuwMXPQTCYs+AMAp4vW8a+df/ULvnTOXNK+fj2rtj3JllILABMvuI+M/f/UJKmU02KxMKrvKGrKPQR2vIwnI1Gpz/eu/57+crow6/JZtHW2sat8F8/teS5s+GvHXov5YnPAbxWHKshz5GE2mxFCePWHV9/4oPNkJxvaFZunY7LGYJ5nDjj2VfzyzieZgKe/s7OyMc8z07dSkSy9fO7lfpIB2jk6+eLJvGx9mZkzZmIebSbuVByftnwKwFULrgrbBm4UFnrNh4HpA931+9j+MX0T+gYfY2YzTfYmlrm8oKp1CgczZu7nfjYUb2B8xnjFPplPOQCGpQ5jwoQJ7rnZebKT/bsUo+2XXnopwzTSlovfWUxsTCwZmRmMGTkG82VKHIvFwhVXXEFGldLOF37tQmYPm02WNYsPmj9wVSNI/QKgrLGMN854pJWumHeFey19peEVxg0dh3lWkPQKC5nVdTH/2PcPAK+6hcPoxtGssilSQ3PnzqVy93qOdBwJGDYhJoGkceM4LvwlQUcOH0lZWRkLzAvcBw7teEpMTIzqXqpF/u58TogTTJ82HfP4nsnDDVcdtPNvzvA53DXHO9/GY42UfeY97tR+Kckr4Yg8wvDM4X5tos7FQx8dIiMzgwtmXsC6tnVceOGFTLjhQSaAl/piuHlxueNyarbVYG2zUmAt4OFZD2Me48mzz+k+fNryKZdccomXxzdfDJ02lJ99/jOy07IN9+OOLTs41XhKiRdgPqpQ082szPST3pgxfQaxplh27txJQkwCNbU1fnRaXWsdGXUZzJgxA/MYM07p5M0zb3qlHQhSSvc8NpvNnNh3goxO5Xf/Pv3dcR1FDiztFi6/7PKg6nZmzNh32FlXvI6LLrgI8+jg+WqxzrmOvGqFYT9x4kQmNNn5ovELkvFvq+yR2WSZzRTUFZDRqJTzsssvI8MaeB/ZunwrGZkZTBw/0U07BMOOLTuoKVP20BfvfDFoHY99eozihmJPfiWwrm0dl112WUBzHY3tjX70+dy5c9m5dSeDBw1mfNZ47/XNbObell/yXx8rJopmDZ3FhCt+5zfefelevWOzob3BqzyzLpll2IuvlJJnqie7f3/zql8xPmM8I9b+GiEEcy6fQ8m7gdcAXxg9a+zaugvO+NdXbY8J4ybQ6eykoaIBs9nM547Paarx2JobkTVCoSXCQC3XWudaOhwdXvmFoluCorCQQW2DsHXYyBySyYQhExg2dx4ZNRlMmzoN88QQafmsHUb2uZK8Eoryixia4rH/NzhlMEUmj+DSxZdd7HWmqsvbRk1jDckpyWQkZeBsdZKRGbjOaju9a3sX2aysXRl9Mohp85e0njRpEnu7FKn7WRfP4v0mfwWveXPnubWBtNj8/l+55fiGXboq7cKzS9ebgP4oDDD1b5Dvb4kcDGQKvA8TEumUps5mR0x7myOmvdER22rrTGiI7YprTkPwFxSbX76QKCaYrCiMn1PAfqACKM2fPDntku3bfy88jCktWrcrWm9BRVallOWu/xuEEEeBsGoPQoifozC75kspVV3y7wIvSikbXGEOAXOBEy5JPBXbcfFNfDAT8PW2lQ0USCnnBijDVOAD13MCkOSqw0WAWztPSrlbCDELxY7ZNiHE9VLKvHB1PA/jCMUs006EiExRCiHiUBhlb0kpA6lyvoViaFAvs8wKpAshYl3SZcNQdH51wagb5GAiyD2uhokzoJrKgCRFkqG+rZ6U+BQuG3YZ205vY3Cyt3ppqHqqhl5VCCFo72qnuaPZy+6OkfqpxvfTE/VJgPZk2/UU+vfpHxXj/r6osVX7vdMrru5WmwijGJCakMrC0QuNFw54+uqnWfrJ0oj7LCMpgwyMezAdlKwQSnnVeSx+ZzEr71wZVpUkWLuN7+/tcTTaak1JcUkkxSX55T91wFQO1x7mtsm38d7R9zz567FB5Errn4v/qcu7pNa+hXY8ZKVmUd4cfon0PQCEayPf72r+c4YHsWCuEzE+EqfhxnZ31LLnj9IINfvY2APITsvmxmt7RhXGEPNYA19VJkPqjEuWkACseUexifjQnfrrNiJtBLdOvpV/H/03Tumk5ts3smZzYGZZUlwSVwQZ4+o4ORtqmOcq1iz09rCm9suK/BW9Voa4mDh+PffXPLntSQqsBRHbdFL7NRL7h150VYD5qEJVjM5IyqCutc7vuzrGLh12KR/VhreVaRIm3rvlPcPqhw5ncBuGenDvzHsZmDyQuSP9zkpBcf9F9/PAJw8YyifY3r2uaF3EdEGMiCErNYsXrn8hZLg/Lvwjd6zwFbIwtgeHoz1UEx0Av577a93p6kFaQhpzhs9hS5lie9TXiYMeCCGYlDnJ7cn7y0T/Gi1rNGmrq8Zcxfv57zMkRbFXrNsMiWbtSEtI46Gb9O9zKj1x25TbWFukaID4ngN97ZOWN3noK9/x0d7VHtZQ//zs+SzP9/da3h2bZYk4QGF0uVVmnl26PhUYhcKkGen6U5+HSuRAgfDjCUicDmnq7HSaOqUzxh7jiOmId5o6kKYOnDGdOE0dOGM6cJrsIOgEGvAwv+o0z4H+P7Ns2bLgFV22DITYg6LCqNWvbwWu36OoMr4jhPiLS10xAfiOlPIfQohBqmSWEGIeChPrPtfv+4ANAdQl/wdFRXSBj1PDemCqK8xg4GrgWSFEX6BDStkuhOgP/BKPvTQtqlCcDXzocgiQBtQCk4QQWS7ptzQgXUpZiqLaecgVdwoeBlk2CiNRLe94KWWhEOI54CbgPGHVQwjFLJNBnnXBZV/sJSBfSvmU5v04KaV65XwDcExvmi73rRuAW1A8Yt4D6LYcbpSgCbZYqURdfm0+EzMnGkpTD3xtlt017S76xPVxuy1uaG9gRNoI90bmuxiHOogkxiZ6MctMwsSKowpRvubkGjfjzYjr9zcPKbeyP579Y686qPDzanMWXUD3Np655hmOW4+zvni98mLJEspHF3O49jAAV4+5GmZpNvMlSzh55N+sOVhOUlwSzuGX8UWRIlJ+NrwBqQeI3ibwfOfqptJNQQ38h2uXSG2lGIWWaAKFIVLWVMbdM+7m7hl3s/idxWHT8J0beg0Bawk67aHPKZ2M6z+OE/UnQraTSpBq4xmBenA0bLjd51BsHnk51xiIrh7KvzX1W2FC6scjlz7C0dqjbD61OWiY7q5hejxd6YF2bOst05NXPel10NeLfomKFyzfsXH7lNv515F/eZUjWFkcTgcmYeox22rnKjL66LswMDouor2XupmZRh26uDC632i+Mf4bbjuTRhAjYgytO0mxgW2TqWkYWfeDOXPSwnfMLhq7iFXHFWnLSJi/aYlpfGuasXVrmK/tUJ/185UbXuHej+4FwLzwVrIITsv9dedfvZhlhjxU6gybHJ/MC9e94PF4HIHFL7X8ofJ85ppn6BPbR9f+c8OEG3TnLYTgl3N+yfTj03luz3MRO8EJZ/g9GMO8pxGuHyOh+6LinGjJEoYCSxy/IT5GUdeXLgdVRvaOZ64JxLcIjpsm3URaYhoLRi0IyizTOtEA73UmIdabWaZnfQ5mS1vb9nrsRXu9R9IVk/CdZ5euL0KxPzYXRbXPHUEi7VJ0nXHG2LscsW2Jjph2qTC9XH8xnUhTR5sUjtMIqoFqFC+MNT7PNSiMn4Zly5ZF/6Ag5QaEuB4Pw6wVuB4pN0ilDR4F1rg8bMYBqtHu/xZCLEJhqFUB10kpm1wMtd8BH3u1maJq+UugENjoattnpJQvAf8LvOWSKHMAv5FSHhJCLASeF0K0ud7/TUr5Hv54CoWpdzuK88OlUspdLu26Da74LcD9LgZcu8u2HMAM4KDreSeQI4Q4CHwbeEkIkQx0AO9IKUN7jzuPiBFqZ5khhGhCmVx9XM+4fksppb/spzcuB+5GMVinigX+BvgvIcQEwAmUonjCVLm1e4C+gNNlkG+ya3CvBr4npaxAGczvCiEeQxHXfElvZY0SNGtOrOGBi71v8VQD/w3tDfxi7S+4d+a99Ce0xNHidxYzb8Q8fn65Pi+M6oFCxcDkgcwfNZ9jdQpfsdPl/UddTEsaS5gy0OOk3gihKxABPSVFcpjSLtzaTcKXWDtbLqAjwS2TbuFIbWAJCj3ITs8mOz2bdcXr3JtsemI6WalZJMQkuG3AaaG2V2tnq5f3qLPBZFQJn97O2yRMXkZv2/OeYVhCKmKSCDt+UuNTvX73FrPMl1A6WH0w4Fxssjdxuum0/8GnGwg2X6WUDOs7jCpbVVQMWQdDaoLS5kadqPgiEi+JgQzudgcDkgeQ2ZJJc0cz9i67X78GQnZaNtY6KwOTBoYNq2J8//GG10Lf8L7jS89BRVWfjxRlTWXufEamjeSu6XcxdeBUslKzePfwu2w6tSnoIcshHV9JT5jhjM7/5JKf8Jcdf/EzTwC9u/aq/dbp6ORk/UnG9B9jKL4Qgu9f+P2I8jYJU0R0hxavH3yd26codpcjZfjpRXZ6NovHL2Zl4cpe22NC4cIhF5KZ5LEDpo4bbZvqGUvR9sSc1TegWWHd0MOw0asaueK2FRFJTaprVqRzUTs+fOlhbXunxqf2+LjVA4FCZ90y+ZazWg6VUaaFkfHZr08/Q/nFxcT5OTfyZZb5ajjY/+se1mwsAeDSYRez/bQn/MrCldw25baQeQajAXQZ+A/mDdM5Vu66+J4/KRnIFoTYhqLlld8Z19jY3K/gEafJfiWCwSiSYDuBfJQzeSmKOmQpYF22bNnZP7B5GGavAPci5QbPJ/kG4OdJR0r5cJDUvgU86qM+iZRyCwRuUFdYP5e/Usp1KA4NwhRfVoC/EU8p5T+AfwSIMlkT5hXNcxmKpJmKWeHyPo/oICjVKqXs1oodYuCtDhK+CkWtMtC3azXPRUQ4QIwSNKtPrPZnliE53XTa/ft00+mwzDKATac26WaWBfOGqW7YKnNLu8hqN3EjTEGTMAX0kui7UH9c8HFAtdR9lfu80nKXR1O2DSUbvOLoVdeMFh68+EGe3R3KBmRw3DPznqiUQWW4lTeVu/s3IykDa2sAZpmGuI22y3ejUPv0bKsOSOnEKZ3EmmJZOGohn538TPPNey/3LWtvHWTu2NbE9NqRGgani9lXo3i2+p+F/8Ov1v2KrWVb2Vq2NapMnrErNrCoWMlvdHoM5Ct5qmMtUBuEIvyN9veFQy7kt3N/y8VDLzZWcB9oGSm9zaAdmTaS5o5mJg+YTLVLPbqutY6svlk0tjfS2tnqDutL4CbEJjA2Zayhg86Ti540XEZfr3O9eUg/1ajYjn1i8xM8PEuhQ9U+mjl4JuBhCgU7AHQ5u75SKpgPXPQAQ1OHkrs3NyRjdHbWbK4cfSX7q/b7fTPCUO0uo0Od90/vfBqJ5N2b3/Wyk9mTMAkTTjzrzkVDLmJP5R5W3LaCm9/zN5kbqF2a7E1sLlUkQmNETMA1JJrrijr/Ao3p3pae9F0L1PbR0m1GTACcK1DNfEQDgZgveqC2baQXvdq+CbW39k3oS0tncM+4oHhe1iMJCZGP9StHX8nDs4PxGoxhaMpQFo314zN8aaDOn8TYRNq72nnj4Bs8an7U/V3bn77Mfj3MsmBnEz00WLD9P6HreiGktWHGwWfT+50p2GSSjrsmHcuvB8jJyfk5cCXwKvA/wPEekQiLNhQGWXb3k/Ewn87jPPTi7F+H9SKidbA4WHPQ/RztWzhQFslAhy711lllUAW7hQ0Ud1XhKiwlFr/3QghqWjzGzhvtjZQ2lPrdfv1j3z/chlq1eHzz4wHLcC6pWl499mouHx7SU3Gv4WD1QaV/RQwZfTK8JMscTgeVzZWGVGB7Girh3NvSgEsvWur1u8pW5ZbqfHDWgwEZTcHGXLh5H626xZpimT4ooEdtAKYMnOLH7AhUlkjWlElB1MGdOBGIgGtCKGLMaJsIIbhk2CXdvhX3VXPpzYObQDCu/zjIzWXcig0sWleKzH0RcnO564O7+KfGYYQvOh2d7gNzqLWvu2MtNSHVS7WkJ/afYFAPmr42W7QQQiClDC5Z5vxqSZZdO+5aNyNRDwzbCIryuqzSFGq6ofo62ogxxXjRNEIIxvQbQ3xMPH++8s+601EPt73BSFbn/LkgWRasDHrH1Lkq8a/XFEEoTMqcxIi+xpwzadFdymj8+wAAIABJREFUcxTafTHU/hBuHJW2lHLb8tvYXb5bd96R7BHdWaN99+wXF7/ITZNuiji9sw11PVFV6fdWemu6adcsX9q9od3fy6VeeK2Frn++CEYfSRrpiknIyqg/+rBJOr4O7M2fOOkS1+d3UOyF3QjcChEYFT6P8/iK4atDtRI9sfzU+FS3SlO4w1x+bb7h9FVpEF/iZfDbH7NoVymsy4W8eOYW5bNvhvJNeyPtJZ3hSuPFvYrHIl81IYHgQPUBAI3a2zHSDybx05X7OTIxiNTcVSBffJH5uz0ezzLL34dHZrrrcC6hNw+VoSCEcPdv/z79abQ30uXsItYUyxsH32BF/grmDJ/jpYKoIrb+ZYjrA0sUexZq3/YkQ8F9o9rLzM+x/cd6/U6KT8aJDCwh5TNPzpZk2dmESZjc61JRQxEtHS0kQ0jJspDMsrPE7D7bjBR1nVAvJgJJ3UJgBwcxIqZX1hmtEeHeZCaqjEythF0gSELYLJOOr8R8DIeD1QdZVbiKrFSPilp32iVa48B3TeiuWqQR+DpOUi9HgICeE4NBTaM31NnUdj8XVOd8x0+1rZr7dtzndYFzNtQwvdI2ME5jRAwf3vGh+3d39qT/vfJ/I44LnjbZVLoprKRQIOiVLFOZr62drdy+/HZmDprJH1zewAFOtSnSvQeqD3BxVvekuENBO54b2xtxSifJ8ckRS+ZFA2eLmasyy64cfSWvHnjV7+I9lGRZd6BNV3Ug5TsHgs1VyWmWvPyjVrjx7/kTJ+0G/gVsz5846e3b4OWVN3zj0rakpL8BfwB+n5OTcwCwAFuAfUDJOaF+eR7ncY7gK8UsixaRvnj8Yt4+/DYQhimUm8u6XX/3KDo357oZHaHge6AIRmDMGDQD2AHABYMvoPJEJWBMDTNY2quPf+KlGB0I/rcmGptl59gtpdqet002TuhEE2P6jWHH6R1c/tkRxvXvYFFZKW3Wv5Ean8LBkYpNOmubNYAjeGOIFsGrpnM2mJ9ao7d/mP8HdpXvwqQ6StCgvq2eZ3Y+43X7u14TzneMn82xqXVSIKX0L1s3DgTaep08U8R0PAdOk48Q8buH33UbbA+XVk8jzhTnlmA5V1T0kuOUGdjS0aKo1U71/v7Qpw+RnZbNM9cqUl6h1Auj3ZbaMXOk5oiXvcqehNbWz2ObHwP86yYQdDm7WF/iP08BihuK3W17tnAuqJntqdjD9tPbWTzeYwhfIAKus73JuL5m3DXsqdzj/t2b676vgX+tlK22zx5e/TB3TrszaDqRGPiPFKrKvZddsLO0v/ju+Z3OTmpba8Myt1W4vWvrmB+9MSa1qm4qztbcVcfSGwff6FlmmYtJ9cTmJwDIq87z+t7TlzFq+mp582vz+cXaXwDw8KyHuWrMVSHj9+TYNzI+owmVWabamC2wFnh910qT5VXn+V906zz3+aLSVul+Vp27gaKyv7N8JxC8LUzSo3o96Vj+zvyJk6YDvwJ+CHxr8Ucf1wM7W5KTXiobMSKtIitrxJl+/ZY6YmNVL20NOTk5ecBhFIP3x11/pcuWLfO3x3Me5/Efjq8Us8yot6VA8D3gVjZXMj02uOqVIeTm0uHoYP7e40w6tJmkAXUwwDvI2P5j3e7SE7btYlGasjDPOXEUR2kpaxaONGzgf+qAqW7vjKFgEjE4Q6oIBrahdi6gtFFpp0BSd72J4WnDcUonQpioblHsIhXUHeOioRfR0qHYqvA1IKrCt7QHqxV14N64Cf777r9z4VBvA8K9CdX4c6AD0E/W/MTrt91hp6ihyCtur8BFEGm9k4HGs1VuLvN3eSQxZdOLiPu91U0hQmJwyRIut87np5//FIAjqV08T3DJsrcOvRUyuXDrZDTnzms3vsaSVUuwddiC2j3sbcSaYhFC0G/3YZoaS1lU7ZGwVZm4JY0l7ncOp4M4EYeDnpfE0bbRmfYz7ueebi89UgUT3t/IlZXe6vpapnd7V3vQ9e2rgL0Ve2lob+CDYx8AAexMneV9c1bWLFbeuZJndj7Dnso9DEhWCJDemIsmYfI6eCr7pItZptnjShpLeHL7kwxKDqye55Ys6wXG+5Wjr+Ttw29j6wwsgdqb8B1LKgPPlwEZDIZV73uQ7njgogeYOXgmUkpOnjnZY/nohe+4NEpTGJUs645TqWhALcfx+uN+78IhmuNCSsnrB17HnG122zrubS0RlVmmnh3U89fidxYzbeC0sAzESLG7IrCqrfYME7wtRvLs0vXiwRcWSIBJx/KbgN/kT5z0GIqh+huAC5JbWr8+Mf9Y3MR85aLeKYTVnpDQZEtNdTSmpU1oTE+7pCktLbEptS/2xAQQojMnJ+c0UAFUuv4CPdf3iGSaEPMJYORfCHE/8CiKl84UFCbfbVLKDk2YecBa4FtSyuVCiHggX0rp58VGCPH/gLuAMUBfKWVIQ4JCiHQU6b2LgLVSyts1354GrgPUTeI3UsrVQogYFJtx33B9u0tKaVwVTSeEEHcBX0gpq3sqj/9k9BizTAgxHHgdGIRyzs+VUj4thLgVZVBPAmZJKfe4ws8CctXoKN4qPgiQ7mZAdXc3ENglpbxRT5l8xfwjwbG6Y14qYkY2zUJrYXC3Gbm52DesZVvZNqYAqafy4PpJfsESYhLcXhW1nrO0qjlGDfxfNeYqDtce5t6Z9/JKXnDbhyYhcGqWP1/9/DNtZ9weGs4pybLcXCbu2sREYNTRL2B7s9dNT2/eVKkMWxOCGYNmcKL+BH0TFMeyFbYK5f/mioDjxOHjYCHYZhpNaMfS9rLtLJ6wOEToKCI3V1E5dqF/+Qqc8wYGnG/qTd6UY/Xud1r14fq7e05doTtwShlVo5HjMsa5n083n3bloRw4O5wKzRBIvXfNwpH8dedfmT9qvuE8ozF3UhNSGZw8mBMdJ866ip4QApYsQQCf9V1F6pYzNNlDO3BpbG+kqqWK1M5UUkkNGTYahH7cP19h0SGlHweWfAgZRyO6uTYKfRIqZ19q61zGoxsf9fqtHe92h51GeyO/3/h7fjfvd+73vb2Xritax+dFn/t5Fe5p+NJnWqaE77rQ4eigrKkMCLT+K+YjJhzdxOITVRAfmWSHHozuNxoIrq7dk1iev5wRaR47XL5tpJrX0EJrnzYYeoMZoXdM//vov3nj4BvcmnZrD5coNFYWeC7AupxdhtUR9V4CxcfEM/sTn34LIJlkhKkeyR6tXrhrx8LZ2JvbutpYnr+cz05+xgvXvdDr+YM/s0yLQzWHWDhqoRddFYwOjRa0fR+sb4Xoz5Of/3bfQ2JHo+b1e1LK54QQa4AfAWfihNg+MSGhz5TExBRzcsrReSkpDTGtreOczc2zsmtqEmI1GXQI0dGRlFR3JjXVVJiSfEHDgAEXtg8eHBeXmOh34HQ4HPKRRx7paG1ttbe0tHTYbLaOfv36rRk+fLjlwIEDcVu2bPl+fX293eFwaAfyb6SU24QQlwFP+Kb5Jrz5bXgaSAJWIcT1GobZNFf8V4QQJhRpuOmAyl8YBvwYOA2o4pqTgGBc6ZXAh8CKcIwyF5zAz4A7gDafb1OAb0gpj/q8/xnQH5gI3AzkAD2p+vQo4MdTOQ996EnJsi7gZ1LKfUKIVGCvEOILFI7vTcCLPuEPAxdJKbuEEEOAA0KIlVJKLw6BlHKu+iyEWAF8pLdAMaaYgB4djWBf1T72Ve0LHzAAPj/5eUgfs9tPb3c/17bWkuW7IS5Zwqm8BD7MX87GxC2Y+54El/3dCo3IrpHNUQjB/FHz3QflezuWcMeKOwBviQBQVJNUTz1XAQ3fuY01azxl/t6t/+d+VonemYNm+omSn01oDeqfDcSYYtwMDFUNrq3Te221O+x+bQ+wBktUPSjqQeLLr7Non0IIlK77LcyqhHuCq8D0FAQKkRkJwRaOeRztw+g1Y6/h0xOfhg0ngzDuo3lYUQ+c9W31Ab9rCbvK8hwWHVOkU3tb7fbEmRPAuWH7R4sme1PI707p5Pk9zwNQ0lLCtAHTQoaPxljTqnw5e1ESacupLRHHjZZqypcZqodVLdT1LPafLxO/71WXyYZSjm9tglG9WjwFubnka01HWHupn3JzGVT4CVc0FPP3NdO5Z+Z3kZM8630gmsaXSTakqoXKwb2o4puby4jmShblu8Z2g+uu9+uje60IWlu1alvdNe0uav/6OFDqHk+LUOi53234XYBUvHEuqCmDcgnxxsE3lOfOxjChexC5uXy/VrLe5W06vvlVY3MiN5eUXW+755Tt4FPwx3cDBvV1cBMMPc1AD0QznY29WaVDbB22XrHRq6KxvdFth1Q9M2a++T7/Ve5QzhDNymXu2aCVtAhFK154yT2ji4t3+LtX1qBTSnmovb31UHt767sNDauklK8KITKB5THAiPj4hPEJCUlj4xOS5qekFE+WMraPzTZzuBBJnDhJh9PpPN3VZTsN7QlpaTv7ZmcfyEvrm5JntX4zJTU1Pjk5OaFfv35JWVlZ6QkJCfcC986YMYMZM2YgpaS1tbWjubm5vbm52Z6env6DnJycr91yyy1JO3fuTK6vr7e3tLR0AdwA6XfAM0Ciq+i+DLPpgOqBaSzKkaEQQAiRADyHwpzaDaiiqjOBZiHEWlecv0kpnwKQUu4XQnwDOKSnH6SUTcBhIcRkFC+jWkwEirQvhBCxwFLgQimlFELsBZYFSlsIcS/wEJAA7JNSfkcIMQr4K5CFwqi7W0pZIIR4ylX36cB4FAbiG0KIfwFDgK1CiM9RBJNeBPoBycB9Usqteur6VUWPMcuklKpYJlLKZiFEPpAlpfwCAtgRklJ7bZ2Iv9aZF4QQfYEFwL16y9QTNyNtXW0QbA9ZsoTWKQ1sPrXZ/eohzefWzlZqWmrITs8GvG8MtHZotAviiXrlUHmm/Qytna2Ys81YSiwcrvHMaSOLt2+baN3Ez8+ez02TbuLhTxUX0r4urbWHtu9d8D0SYxPdv1878BrgbaPpXMDZLo9ql2bP9V/jmwseZu2/1pM6cRYzZt7Dou/93S98IKaZX5q9YOD/bEOVOoikPHpu06OJb0/7ti5mWUD7RFEmglUG48JRC1lXvC5ouCnH6qksfo8pdsVxSULda/Dwz6JalqDQSBGOLVgP25rOCiPFt+2nDZxGemKjl21G9WCu/r/x2REsXHgNKeWlvD0jhd6AyaSRUuhFQv1cc9ryZcKcz45S31aPr77HxKObYLJ/+M+LPodR4df+nj40H6o+xO79LzN5QIBCRhklGm/bFU3lOGW8m/ZRpTrSEtK4ZLVifuCsMck06BPXx/1s77KTEJvQq6q0G0rcmkhuOmD6oOkEW+lDMa3dzIhzRDr0VOMp97Pbdt1ZKls4L9ZGcLT2KAs0v7VzOJzEWqD6L35nMbdPuZ27pt/l983o+nCwRplbKmNMld7Ui2iPfVWLxiieueaZiKU9K5srWbJKmRMzB810t6FJmOib2Jf69nrYtIkpJcr6k3bsX0w5Vu+WItNKk61ZONJjhqObUPte26dBaX/pZGDG6NNSSrPfJ+Ws7fde870u1Pf8iZMEylXOrHiT6eLR8fHTRsNU2tquIz//uknAnVAL2IH9wHcmHcuvzcnJ6QMMA0YCI4QQI5KTk0ckJyePGDx48AjgFuDbU6dOZepUt5HYM+MLCqpufe+98TEOh+9J28MwU6S3XhdCxKEwkK53MbAA/gY8iSLFdUR6BukMIBNFRTIVOCaEeE5KqdqJmIZOZpkGXnFc6pkDgS1CCAn8Wkq5FpgPFEgpVTsaKUCHb2JCiNtR1EGvkFLahBCDXXX8J7BESnlSCHEtij26e1355wNfR2EGPgW8AfwFiJFS3uJK91/AH6SUFpc66lfKJFck6JUGEkJkAxcAO8OEmw28jDKZ7vaVKvPBjcA6zYTwTWsJsAQgYUgC1jormzZuot3RjrVOv3SRxWIJGd5aZ2XBqAVYLJaA30vKSrA2eOJrw71Y9CKlLaU8PvVxhhYUsGuYR5VySNYUDk0cjbXwI/bn7UeWKPN73REPGfT2jBTGTL6Gt9M8Bnmps3Lw4EF3mbds2UJKbIr7tyPeQUOH5/C3aeMmP/HizsZOmjqbKJNlHG87HrD+O3fupEt2Ya2zcv2Q6+lb2RdLlVK3DmeHO86hxkM0dzZ7xQ3UVjabDYvFgs1m41DtIaW/Nm0i3tR97ztDCgpY2HchxS3FjDRlU1BQQKXFQkFzAdY6Kzt37qQiqaLb+YSC2h4bN26kpLSEeFM8GzdupLWhlb1H9jKyYSQtNn9pX9+217adtc5Kl6OLTZs20dHa4f5WU1NDQWcBlmYLRqHmp6Y16PgJd7liTXHsObKXn7/0DnaH3a880cSQggKv9igtKaVwUC3VLdXuPNWyquHsdg9hpY27+8RudxybzUZxXTHWZk+7DksehrXFu97dxdyEuXxY/iH/Pem/PWmOH8/bdg9DZfT4MST55JdflY+1zhqwHL59Ewja8WKxWKiurqaws5Brh1xLn5Q+NNi8vYLZ7XZabC3Y7XZ3+7XYWjhx8gSNPvlo5+i2bduw1lnJy8vDVNo9huqQggIy5QBKW0oorygntTmVSouFstNlNMY2YpHB6xtNlJeXY0+wY3Eo+dVX1PPalARaujx9doOtBVztpaK2vJgWWwtz0q4mvzIf0SCwdCpp2Gw2Nlg2uPtl3759tJ/ons2uIadq3eO7rKwMU72JSouF6qpqClsLsbRaupV+MNTV1GFt916PTDaT13hcM2UwGwf6MA3rrH5rm7oGg9JGW7duxVpnpT2jvcfWlMKKQqxWZX9MKk/qkTyCoaGhwe+yCaCqqgrrwAaOFx33ayN1zCS2JPq1iToX29rasNZZ2b9/P9Y6K3v37aXtROQXQkMKCsgSWRQ2FwKw+shqPkrfy10j78JaZ2XHjh2c6nMqTCqR5TvcNIJjTYrJlrrKOkpPdWISnvH1wIAHiDXFst/2AOBZ77u6urDb7e7/QVnDqqqqcDod7rGmtllDRwPWOisHDhwgrkyfJI8K7Ro8pKCATmenu99e3v4yCwYu4EBmE9Y6K9u2biM9Pr3bbROsDABjU8ZywqZcoBY5irDYLZS2lAalJULNw7a2NqyNVvKP5WNpsIQsQ9GpIqrsVYbn6oGGA1jrrGzfvp0BCQP8vtu6bFhVGraP1bPHD2ih+kw1he2FWFqM5dldDCkoQOKhKbRtpje+b7uv37CeU6eUebTRudFdz9LOUuJC9FF7ezvWM1YKpIe+s9ZZeW7jcwyrH4Yvik4VUW2v9uonu8Puzq9QFuKQDqqaq7zOOgX5BVjqLLx56E13vN37duMsDnxhos4ttU7RWMOHrFzJh+UfMsf1u3Tnb7GOMbZ+W44aL8cLJ1/A2qq0w7GWY7Q526i311NSUsKZtjNYW6xU1aW6aacNBRuY4Xr2hS8tp7ZTRUUFVrvxc6hDOijqKMLa5DpPWDYGZpgJE4fiO40yevQiBmgBjgJ1wF4Uc0uTgIXAaDzWtoehMKXWLlu2rA2PowAAcnJyYoF0FAmn/sAEFCbPDNf//a9ZvbpfrCOoLdikYsXcU42UcjqAEOI7wO+AK4UQDwCFUsqNLp6AVsd5JvATKaUdsAshaoA0QCXQpgIr9DaKEKKPq94lmtd2YJCU8owQ4irgTWCwK+2DmnDTULTrfPE74BYppQ1ASlnlMmU1BVjh6vtYQJXImQzc7pJWiwPUw/50n/zKgceEEH8DPvYRVjqPAOhxZpkQIgVlwP04GGNLhZRyJzBFCDEJeE0I8amGy+uLO/GIXQZKKxeXDbT00ekyIzOD+eb52DpsZNRmAIo73nB2WMxmMxmVGSHDpKSkYDabA37bs20PZaWe2xltuCcrnySjTwZXmK/ANH8+W94pdH/75Z1PkdpUzuv1r3PBzAu4IvsKAL6d9G0+O/mZO9zVC67muZrnvPKcMnUK2zsV9cg5c+aQnpjursPApIHEtHoY9Gaz2Y9ZtrpzNfl1+UweP5krL7ySjmEdvLDX217A7NmzaetsI6Mpg2/M+wZTB3rcxTW0N5BRreR3z4x73FJmD178IMlxycwdORdfWCwWzGYzFouFqWOmsrtrN/PmzfOSVosYrjbXWoCbACSXJ7PKtorZs2czPiOUgmz3oba/2WxmpX0lKfHKmHnR+iI1sgaz2czhN/1vxzMyvceedvxkVGZgrbMyb948dmzZ4f72Qt0LTBg1AfOFZoxCW04ACgtp6dvCjtM7uGzYZZyoP0FKvxRSSPErT1RhNnvNhx/f+jzbdj9Le207ZrOZ9q52d1m33OD6H8XbqNYg8MxBM3ltxnfc9rwsFgujUkdRV1HnDpPgTCCjj0+9u1t8zPyCX/i9164ll8+5nLRE7xvr0rxSjhUcC1gOv74JAG36ZrOZjJoMJo2bhPkCM/PkPG6wrSI7LdttnD55XSnJQEKCh/mTnJLMqNGjSffJRztHJ140kQxrBjNnzsQ8Knh5dKGwEGuZlbrKWhzJDiZMmICYNpRBLYMYkjIE8xXdTF8nlrcuJys1C/NcJb+DOw9SXlROIp41KPn/s3fe4W1Vdx//HC3vEY8kdqYz7OyEbAghDsuMBFqgbNpCwZSWFyibLpPS9u146aCUUjNLKVAKtBBWGMVZZJMdxyNObCd24liOHW9b0nn/uLrylXRlS7YkO4m/z6NH0rnnnnPuuWd+z2/EKqfV2vqqoYaY2BgmpS2ioa2B8UnjyV6kpFFQUMDi8xaTfFR5L7Nnz2bhyIV9K2h2NkuPXMcTa55g1rw7qDJa+N3GJ4lNiiUzI5Ps+dl9S98HTONM/Hr9r93CRsSPcGuPlTsr2SO913xqvQF8bdLXGBk/kiznfQUFBUyZN4UXrS8SGRkZsjFl35Z9lIpSZsyYQfbE0OThC1VvJ+Jo9d5ojkgfQXKKkYnGiWTvMLqtR2J2KnU2NPoE2bdnu92n9sUd/9lBckoyZ511Fp+1fsbcOXOZP2J+7wtaXEwWWaytWEdKVDKfH/yc5JRkZs+ezUfNH7Fw4UKXna6goriYmJOxVO5XNtvzp8zn3VHlWIwWt/bQYe+g+DVlnlT74PGREZROSqIURZLDYrSwbOIymgxGPlj7HI/e/SRZdNXZ8ebjJFuTmTlzJtnjswkEbmNwsTI/NcY2sq16G3bsZGZmMnPmOFa3r2bRokUuBwnBhHaM//qsr/PijhcByByXSfaCbPbX7uezf+uvJbT9ECArK8vVD7948wuSzclMmTyF7JnZ3ZZh07pNGBuMAfdVQ7mBz1o/4+yzz3Z5F9Sivq2e5OPJzJgxg8zkTN5seBMAo8XIsGHDyByVSfa8wPLsM5zv+bMGpU61debv/fdPuJ+/buuyPLP4vMV8av8UIQQLFywkuVZ5pzPHz2SV+ajb7Y/coLRfgC/f+pLklGQyJ2aSPVcpQ3frgo3rNmJqMLldK68vJ7lGuWfihInYpZ36qnq3vc6wjGFkz3Xf+0yZNsXnuKn2rVW2VT7LEjCKi4lp6GrHEyZMIDm5gpkzZoZ0/H6y+kmSo5XndhgdpEWmIZoF4zrHYTlpofpwNSmGFCJaI4iJVcpXOjOGdTpaIMm414VaT280vYFs9F8KLzs7m8RqhXhPTU0l2aKUb+lSfTuzFflPU5GYEe9P2oWTJhtQSJ4Rzs9wZ9FTNB/tf90TAAk2u9HYYDOZyjsslsbjQ4ceLJ044XDDkCHXsGLFd4B45yfB+T3E+d0dWj9YtuzEdW+8MczkLVkG0PJz+DOgNUy8E0XlEuA7QIoQ4n9QyLgOIcQ2KeULKMTSbnBJgEUBWjWU6Sh2vvzFVBSHAa4XK6VspcuG2QYgXigMVwRdBv9BEf55QZuYU1VzhJRyv0c+M4EfOZ9BGz8FaJBSqrZVZtBFwM1AcW6glut+IcTZwLeAB4E+LBrODISULHMym28D/5BSvuPvfVLKQiFEEwr7utXzurNRzAe+HmB53P5PTpnMtupt3d6z/PW+GTT3RyzZ7rBjMPonnXFF1hVuZFmHvYNxiePcvP8FInqtp9am2itQRbF92XnzZfhSVde5c86dLB692EWWnZ9xfsCGUUOFpzY9xf5aZQwKt2i/Vp1QKyq+LHMZ7xe/D8DQmKFkj81mlYcw5peVX3LOqHPCV9jcXGbYv82KN6+G8dNYdeBI2LK+ZPwlrrYeYYpw84ap986izdH838X/x9f/2TUsPHruo26qxXroL2cUng4y1LFGz5Bsb+FpJHtKyhS39FddMIa7593N3l895HZfONX7AEYnjOar6q+wGC3UtzXwwCfKWictNi1sZfAcqzce3hjQ/eHwvqdCdTLjkA7eKVSm1k5HZ0hVsvU2t/5Cq05+9bK7IC5873UgQ+2btttvY7YwuG2oVYR1fHKq5C1WhPJ5uI/rn0DytdUfYtVHij3Y7153J/Kzx7qdmz3VnQAeWfQIv/3yt5gMptDXm7OuziaXXzrr6Y5vfBvK14Q2Xw206zftb3/MN3ginGqY/q6LVRiFsQfDLCGE8z3bZrTQYe+ARQGq1eXmYnDYWfXPrnV7ruZh1HV0nCXOaz2u2rX1hPqueqP2qHpz7A43z7jZS+1+aMzQgPMKBcJpU081mwLQ+O0bsJ4oY9XmKm4+Ppu9UeH1WKqaIhmVMIo9x/WEkLpgtB8FMlw64oWTJkehyAhMQZEbyEKR+hqBYsvKS8TWIUSHzWRq6TSbOzosFlt7ZKRsi4xsa4uKrG2NjIpsjY6KbouMNLRHRtIWGUmn2WxCiGQUYg2U/Xs7cBJo0HyXOX+f0Hzq9P7n5eUpJyL/+MdS4H0U1UsVLcCyF2EBiuohTiLqWziJISnlXDWyEOIL4CdSynVOB4TDgIlAEYpDgWdUosupmjgaKNXcnwR8S0r5ex/V7qmCKYBUKWWNk/h6AnjZKfVV6CwnQvHwORH4VJuY0357uxBijJSyXAiRiiLJVw3kCCFeklI6hBCqVNp03CXYS3WMAAAgAElEQVTnZtAlcTYWxVMpQoh04KSUcoNTmm7Q6L8fCKU3TIHClBaqRvN6iJ8BVDobyBgUo3iHfES/Bni/G6kz/8oYwkXBxsMbGRoztFs7LwKBRGKXdszeY5UuPCesdnu7l1FQzwm0urEaX9CrA5fRYeem2nNTD4pnT9UDp+cmUV3kRBgj3Cb/gWILo6mjiU/LPu05YoigJTBiLbE0dTRhd9gxf/f7rPpAGWtvmXELhTHDYMMmt3j/u+5/+dc3/uUmcRfqelXL2tAWXiO7d869040Y1tZbhCmCK7Ou5N2iLv8eRmHEZDDxnbO+wwvbX/BKb6BBuxkIFjKTMimu65LIk7J7pwj3zL+HpRlLedpjc3XlZTeiv0zvSjdoyM1lJLCs/jbS49Ipry+HT8K34fSFCFMEjR3uKuTqJlRvM/q9MJJl6pjrkI6w2RIbmziW22bd5pJkAe92oG5kpqRMYV/tPm6afhPXTLnGjcAeKAbEw4n1l0yl4qS3+uKIWZeAsz7NRjPjkyZwoK7ULc4A8isdUnh69PZlo9IXEXTVpKtYNGoRv5a/Doozp96g7ERZz5GCCD2yTLsemDF0BrtqdpG3JI/nv3qeVRe4369nT+nNfW/ySdkn/P3rfw96eQNZq2jHtbSoNGRL//aE+xbe1+t7Pdux9tnU9bunXcCxCWNd5i5UeI6demtzLfTm6Tnpc3osb6wlljab+/bKn/sguOO7URhdz1jVVN1Fw4QJSVFJrnHEIAwcqFO0Fl5ZEEHikgf5175/AZA7O5dLGipc69VbZtzick6hh96snxaOWMiXh7/k1lm39mgTtznaIS89uKGlcNKDT6KoRs7A6apagt1hMBxpj4hobImJaWiMj2tvjIuLbYqNTWiOiYlui4ykIyICu8lkASwoElB1gNXjW/v7BO6E2EngpIvs6iuk/MJpm0wlzFqAZc7w24ElQojLUYzdb0KRlvLEZECV0poJvAk843Qo+D6KXTOEEB85r0cD5UKIh6SUr6PYAZvrmagQYhIKORen/BU5KORXHPBfZ39wAB+BS93kA+BGIcQ+FGm2q6T+CfXdwMdCiA7giJTyMiHEiyg2zwqFEK3AHinlzU7STOtNbyaK1B0onj3/KYRY6/z9CyFEO8q7/Y5OvoPwQCglyxYBtwC7hRDqC/whivjhn1DEPj8QQuyQUuYA5wKPCiE6URrW95yGBhFCfAjcLqVUDUtdD/yqrwUMxaK9qaOJ57963mVM+9xR5/Zwh7JpllK6SdL4KqenR5o2W5uXxzbPzZPWy2YgUDdkeovOv277K/PSFclXT7JOzd8gDAPGQLwWN7wdfm+OWmg3AddMvoaXd76MzWFzq6vU6FS3es9MynR5Yd1QuYHnvnoubOVVy9VfElgqPDdPYxLcN03qtbOGnxXWcvUWvha6fSE/b5l5i5vHM9Xzqitt5+/56fPZXLUZIYSuJFtPi/BglNUTqqOT/oJn+463xHudwv/0vJ+ytWorH5Z+6HW/P5JlwSIZ1bZul/aw9ss56XPcyDJPuAxxiy6D3MGUlDxV4bnWyEjM4Jop13Ci9YRb+KUTLuHNvW/6dEqy5cgWVh1YxblOSz7hNCYfamjXEUIIv70fL89czsrilQghXOOWyWAKK1mWOzuX/K/yefizh7ln/j1AeEhh7Xqwu7E40hTJ9dOu58kNT7rCxiX6VqfVOjXRQ7DGnDf2KF4hr592vdc17Rx0qrdzIQTPL3+e21feDrg/z9CYoeQtyWNq6lRe3vGyK9xoMIKPaVi935+Dkt7O0Z32Ttfvx5c83qs0+oTcXO64/Ta+/Z9vYzQYWdVaGP4y0NXWDcLAlZOu5MPSDzl88jD/M/9/XGSZ2Wjme/O+59q/XTv1Wr6q/opjzd4ekLVpBgKDMDAqfpSbUxFfsJsd3LPz35ehEGVfAj8/PHKkvSQz8yxrSvJ5DqNxtBoVRbJqE1AJHPb4VOXl5fXNyGqw0EWYvQTc6vSCiZTyJv9ul8M1v99HIcj04l3qI4lrgO/rxN+PIqXnCSuKdJ1eHjbguh6KjJTyLeAtj7BWZ1k84z7l8X+J5vfzuJut8lvTbxAKQukNcx34HKW9xP6klH9H8dqgl9ZlHv+z+1o+CI1Ezr/2/svN61x3k5lBGLBLOw7p4Ik1T7ClakuP6Ws3ZFdNuoqU6BSqm9wlxzwH4u42cXoLOvV+l2SZDwmYDnuHbvrqIscgDO6LOR+Lx5vfuZmjx46yZMkS3evBQputrdfedYIJu7S76kWt4+1Ht5ORmOGKMzttNlurujSQtXX33FfPeUm8hBJqP+lvb3gO6Qi4LXuipq2GQ+2Hgliq3iMUkmXazaWU0ueGM3dOrkKWOd/tnLQ5birp/f2uVfSnFNKdc+/kkc8ecQuLMEWwLHOZLllmQH9jHwoyS32n4ZQsA++x3tezeZJmg1AwY+gMnjj/Cdf7e3d/l2Ssqu7VvjOKVfvedAWPSxyHSiX8bM3PADg3Tf8QbqBIb/cGetI3PbWf5KhkkqK61DFVgkxtp3rtMxT9sb/MS2jrTF1T6NWZQIRkvukrdhzdgVEYdcmygTIHBQva9+L5bHPTvQRW/Dp8CXYdPb/8ea/+kTs712+psmDDZDAxKWUSu2u6bNWHeox78YoXue2921x5qXUsEKTHpQOQGJmIEIKEiAQa2hswG8xe/W5I5BAvQYZwwWGw88t5N3MkJnXBf5/N3blixYrLUKSZ6oH3UFT+dgFFQZP+CgcUgmxs/2Qtr+2PfAcxMDDwxH7CiFAs5D3T9Jx4WjtbXafJaly7tPtFlHmmnxqTqrsR9pxAPaXReoK6qNLaLNOboFSyzJfNMqPB2OPJsJSShvYGWmwtXPHGFV6eM4OJ57Y9xz0f3xOy9P2FVkJKPU3/xdpf6EoA+bpfi1BvSIUQCITfbTRo+Xq0OV9qOSr8kUL4Q8kfON5yvM9lCwZ8LXSD9T61J6K+rqnw7MP9ubFadWBVv+WtrfvhscO9ryPc6jMpKokbp93odW+ooY7Ne2r2cKQxfHYEe+pjah2obVsrnTAIpX56qkPPvqhL+IRZ0iYc+XmO9z2pkKfFpvHXZX91lU1LCPkjzRjM/tpf0pNaQqU7EkG1d9Qd+kNyXGuHVO+aiv6Wag8GtM/pD8nVnT1h9f5gz9PDYofpzns9ofBkIR32jtPiPaXGpPLE0icAp4Sr9F5HeWrr6PV/IURQycxA6tYm7KwdMctaljjik7GPfnB7gyNiovPSVuA14P28vLxdpxRRNohB9CPOaP0IdfCbnDKZwto+ivjm5wOQWbmBnOpyV/DYRAPx9eUuOxvXvqWQ0ytvWOla3Pia8HoaHH0tMjwXtoEO2FpVBlBIMYvR4mU/QZXS8kWWGYTB5+lYTXMNd31wFw+e7a5aXtlayXACn6z9QbhVM3xBS/po685fldWe2kUoFiz9ZQMG3CXb3GzgeWx2TjWpCn9VHXsLbT/0hGuD6axDz37an6f6/UmWaeHPAtjNZlAYz57UfDcd2dRDzNDk6wtqH1S9Oq46sIqbZvilJTEIJ/w53Ar3plR9n6EcY3Uly3QINBWxllgiTF12zpo7m/nh5z8ElDoM53zgaYoilPjtRb/loU8Vhyx686H2uVUiXaui6gthIUR1bG75au+e5T3VVTHdpL796L96Y+2ehj0QCR8f+Jhbz7p1QEjfFdUW8ffyvyO2e7e/UCAc61DtekhvHTUxaaJbfN21AiJkbfaWGbfwQckHPq+bOjsAsoFXgOfeaZ9mixMdFWmGk4uTDS0XDhGtPPb4L8oisG0RggNABVDu/K7Iy8tr8pn4IE4ZiIKCpTjVVmV29hf9XZ5TGWc0WaYO6n0Z0JYXVJMWu5K6Q/vZeUxxRDFVcz3taCUTgAsLKqkernjl2zspCRrzEYlK/l9WftmrvH0RUZ4TcaD2rVySYc70fZFlnQ5FakC72HFIB9urtwPd2yz79MCndNg7+OW6X7qFh5JAMBvNA0LSQXuaajZ0LbL9dYagt1io66hj+evLeezcx5T7gyzl0p+259Rnkchun+tUU/kKxUJX22606gNaSCT/2P0PAJo7mgHvDbpn2T498CnPHXguOC7hBzC0deVrAexp+NhVz2Fsf776Y6g3Kj0ROV4Etk6d3LHyDp68+EkykzODWraeMBA323qbZi9VV51yq/e1O5Q5OdTmBf6w6Q8hTV8P/tosU+vii0NfuPpmuCW9tPmFmsiclDKJeenz2FK1xac3TBXWViugjAs9eTPscHT4XYZg9aXupMX1DpFPtTleC08TCYHEV1HaVEpypGLlfkPlBl31TU+Eus5Uj+5VjVU9xAwO1lWs4/LMy0Oah3aec3mJddZjSnQKoxNGu8X3dbAWqrHg2qnXcu1U31qBJpuNQ7+6fM/YRz+YA8wFcXWjjFjcaE8Zgl2oJwzjTNgz4kS7iBPtxBnaiRPtxIoO7sv79ck40V5tEvIocAzw/FZ/1+Tl5fk/cAwibHASZapDhPdFQcGyQcKs9zizyTLNJjwQZCVnUWQtct17vP04Vcd29nCXO+SaNSyNLAHgaMHPyPEgovDDBr3nZJrzuSLRlrH/M3KOKL8tdS+Ts1357a878ZI6pVzqBLC1aivnfOTtqjjWYmVKRxOmq7qakd1h5/ntih1BozC6qxY6N3INbQ0+JSI8CblgYsBIlqEvWba+Yr1f9+s9w0brRgD+d93/BqGE3ugPklGto+unKvZMPFU2PIkBlfjR2nPbd3wfMZYYL09TWvSX6kBPtgB7Ay3Jpac+oNbZ6vLVgCKNAb7tDqp4avNTWFusvS6XvxhIhIaWyFbhS+29u0291qFIsNpaf5HXwcrXk3AMJ/pDAtVXnnp91B/JMrWfV7RUgCk0XhgrGyqDnmZ3CNRmWXlDudt/s8FMG0q78nWQaHfYWVexro8l9YY2vz013mulYENr6sKzDHp1ZhAGZqfN5ncX/44/b/kzB04c8IqzrnYdySn+uxsMRj+yO+xudacd/7Vz2RfHv6DRHD47rd3B5rBRbC3udk2hh0DVMI0GY7fzYV1rnevAWm+u8hd9nXNdDqCkVNIKwfCqLWPI5778fIY0HSVnXzlDIk/Samvl3SXDXPkaMHjVmR5ZZhDe8fqCQNKKa+oQAId+dbkEtjg/jH30AwGMBqYDmTaMGSdkVEaDjMx0OMQYEKrxxXggPoLOjFjR4YgRHaYY0WGKFp1EiU7U7yjRyU8e/9kJI/KoEC4S7TiKbbSG7r4HVUBDBw+iDAYJsz7jzCbLeilZNjFpoossA1hfu575mutxEfE09mDYUTuf9JYg8u0xazMAU/fX0dHwOVOr67rKZqnjrcVJuvd5QjVaW9Oin496oqSdKLpTK2x75ineK3oPa6uVTCDTWUaA9vZ2IiIqaG/fSEREBDmTkhD1z8Ndd/tVVn8gEK7FRX/Clxpm/lf5ft+vxX/2/yfghW5AyM/n4s2HvIL9JV97CyEEK29Y6frfEynRamsF3Ik91SD2yhtWhmUTEwi0hFSwDMFudvZ96F4Nc8GIBWw6ssnV/jy9NvlUDQ8hmfVO4TvUtdb1HDFE8GcB7ImmjiZK6kq86ri+rZ6EiAQgNMRQf6kc+yP15A8GgoRvf0B9b222Nj498KlrDHDzeO2HYe9ny57FlGFybZJDccj05y1/7jlSCOFJpHjC81DBH5MG1711XUgP5ECRcAsXujNLoIV6bWJyl/qYdi30frGuY7iQQSLZVrWNQw2HXEbTtRAIMpMzWTp2KV8c+oK9DXtDt74JEK/vfp03973J7y7+nVt99gTtmN0bNUzP9t7S2cIrO18BFG+n4UbBoQL+uOmPrMheAcCOYzuYkhIYgegv1LUdwK6aXSHJQwuD+q400mEuskxj/0/tV3rjjdY5AMCuY7v44e4fMv7E+B69zfqCv/P+qOpGCidNnjp5f+FebbiTPCt3ftzgJNKGAxnOz7h2zBnt0jzWKmPSQKaBSNDJbohAJpqxTzALOxbshghhM1qw4/zv9W0Rdr730yc7zMLeZMbebBH2Zgv2RiFoAVqAZh/ffl/Ly8vrf8mIfoAOUaZClzATQvwJuEJK6bahE0KcB3wG3Oj0yuk7TyHmAM8CMcBKKeUj3cXvC4QQI4FFUsp/hioPPYSMLBNCvAgsA2qklNOcYTNRKjQWOATcJKU8KYQYCxSiuLAF2Cil/K5Omrr396GMQOCn/dpFibpZ2Dspia9N+hrDYoZhNpp5evPTrjijE0bTWeRtE238kPG6J3z+YsPhDT3ag1FVInuDioYKAJ657BlM1S/x9j6lv6gEl4qIF/4G370LcK8bz81mYW2hSy3AHwTVeGl+Puz4Gzk6XiRFTng3ntpNgK8NuRDCa/GrSg5qMWFnNaU7f86VTc3ExHaZGcjauwa2Olwe1k4H9OQNU4Xan7X19fd1i2lob3DVU6iJPl/I+bzc1X+q/3whxmOtHB6muAK/H6eKNkBjfq/enZaA0yPLJMrp76j4UWw6sskljedps/G13a8xc/hMCo8XutkFuuKNK0jtSOUXc34RcNl6wv7a/SGRkOkV8vMRQM7mrja06oIx7Dy2kzlpimewrvZVxEXCSFr8Sha3FfL+0gbW/HsNMeYYprop5QcP4rnn3MrmwoSQZOeCvzbLfP1XMRAkfPsD6vz3/FfPs+rAKqamKu2jO8ky7fpEoGze5n+2g70b7yW9qZmJsTHw+fPkAKkV/4ZH5vWtkPn5VDdWM7LwQ0Z6Xrukb0l3Bz3JMjd1KCk5WH/Q5/1a6RrtfXWtddgcNlpsLaEhyvLzSak7QE6pR3+8MvhZqfmdtX8LKScrSStfSU6pYhNXrT+9PqcXpqruttva+eu2v3pdr26sJi0uLciF78Ljqx8HfEtSJkcns2jUorCSj92hpbOF13e/7rIDpyVw/IE/kmXacdEgDDR3NvNZ2WdcOO5Cnt36rFtcu7S76sYXWdYXSeYb37nR7f/hk4dJiU5x5fXkhieB0EtS9schp9tYJN3DjjYfpbGj0c0BiS5ZpiHa7vnoHtfY1VuiLBBIxX7qRGBvD1FdcBJp1c6Prm2gsY9+EI1CqKU5P0OBBIlI6MAU3yFNCc2QgJTxAoYAiUC8hFjwqiQLkOT8ABITDrsJh8Mi7A6zQq4ZTDgMZuEwGnFgwoFRKN/a30YcmIQDo5IGJuHg3rzf2Iw4WozIFpOwt5hwNBmRzUJ4kWttQLvz06HzWy/Mn98deXl5YTUq2A1RpsKNMHNyL0sBixAiTkrZCC5C6j7gMLCj2zyFiAdeB65C4XG2CSH+JqXcF4RH0sMFwBTg9CDLgJeBp1EMDKp4HnhQSrlaCHEb8BDwE+e1A1LKWT2k2d39AaO3kmXagfHTCzNIakviqPkod9/wM1f4jbdcw6u7XmXSlG+QFpfGg588SJG1iDhLHPnL8+Hl1zCXfeaV9pIxS1z68D2VK84SByhk1mu7XwPKmZs2l63VW/16DlXywRfGJ40HYFTCKPDwkKO6TAbfGyhPd+ox5hi/yqUi2BRWSnSKm4peOJE7O9e1uHJJSOXnE12zl5xD7ovsVReMcZ2sgropL3cjKV2kyhkEh3R0kYv5+aQfLyTnoMcG5QZ9klVtq3roT9U/e5DtlunZLNP2z73HlbVTY7vSD94qfItvzfoW4EnGlvPuR3uoPKmoYuXgJGZnNtHctI+31+aQA6QdfB9+uLTvBc/PJ2P3p8R7kOkZiQY4r+/JBwt2h113A+LQkJTNnc2uumxu2kJOrGbcOzfkRQwp/PWGqRKso+JH6cbbX7ufOelzON48MDzThgxOxz9Zm1eTBUA5vH4zF04ZBmXKuD4SMJ98Ce68E/CWLCtvKEdKxV6j2Wjuk5q2v/AltR5O2KVG7T4/nx3V21lfuZ4cbSSNuQo9wkAiWfOjm7E5bBw4esCtL44o+wB+dGFQyuoIsyq/Oi4XW4tdYWq7if/bG+TsdZ8XD8w/4FrPqahpqUFKyTX/ukY3j4JDBRysP8jDix4OqQ247saUof/4Dzkl5TQ7D7mm7F4Hc73O0UOP/Hy2Vayj9egOklDmw6wTq+F7M/xOokeyLD+fyK9eIcdJYp5XUcGa0ZL9H93PrKnXY9j7htthn9ZOYXeSZcGSQr7rg7uYljqNhxY9xI//+2NAWTPUff4rV7kijEdJjU6FA7077PNCfj7nbt7ndUDf28NEf6G+n/rWE5iMStsXCMjPdx1Sfbjxa2S31NDc0YzhfI82nJ/P9IMbSWyogGP5ZG4uIBNc7bi3h7X+2p9rjTQDfNirTLrBoV9d3gKUOT9+wym1FoOi3png/Hj8Fgk2jAk2jPFt0qyESaKBKJDRKESP8z9R0GNlmJx5xHcFSYxIhxGHNOKQJoVsEyYcwiSUb28CzuEi4CKxESlsRIpOooSNCGwYhe+xf8WKFTb8JNZ6uN5j3FXjxk0SI0eukEL0JGbqIsyAbwM/B+5AMbe+UQgRATwDPICivtuTRM8twDtSyj0AQoidwGTAjSwTQqQDfwLGobzDb0opNwsh/ge4EYVYfVtK+WMhRAKwDfgPcBEKsXkBMBv4HVAvhMhBIei+AVwPmIE9UsrreyhvrxCyGVBKucbJWmqRCaxx/v4UWEVgZFdf73eDOnn5OuW5bMJlfFjqPd54Tj5mYWZYzDC3sKSoJO5ZcI/XvSaDiVhLLOTmsmtDE3tr4hibOJakqCS+M/s7upOeZ34/Oe8nPLHmCX5+/s8BhcxaOHIh/3fBOr5++RMsjB8BwNHf/Yy39r3FpJRJ7K/dT1psmkt1EmDpWP1NbnJUMtZWK4tGLeoKzM1lVVyXSpxWKm6pjzHLkyyLtgRIlgXZMOmlEy7lma3PBDVNf7E8a7nrt/bEvLuF4sj4kSwZs4SEiHe7JXvCgbvn3+0mLdkf8FTD9HSMce3U6wD309nbz7rdZUNvIGDBiAW0FX/aK8ma+xbc57Xh8cSs4bN4v0RRqfEiyzQLPShnMrDryoU+01I3ZOFCIFKnoYA/p/BTh04dUHbVwo3upJ7Iz2dc1VZyDpczMt7OvWlzSLr6Ubf4KonY+PmTPIsimUAbTJnnfXB0OiMpyv2ww00N01nHWvJ674F7GZ0wmqU7FXuiEw6cJCKinc0jI3BPKDjlOxEG6QdP6EmWacP2+fBYrvbHGM364p3Cd5iXrkjYHT55ONhF1SmD9xoyHKrSw2OHu9ZhqkfOdh0yNSMxw/X77A93M6FFIan//PlMF/nY3NTMuiu7VB1f2/MaQK/scwUC1dOqPzjmwyRIONCd2q8/8DTwL5FebaTDpk+Ev7H3Da8w7d7EH4n7QDE8ZjhHm4+67Y/2HN/Dt/7zLZ/3tNvbXZJ3ocKEpBCLT+fmsq3kQ1alKSYtIowRYG/3Gp+0Uq56a5dDJw7Samvtl3Wz0W7g4gOlBYeF0DaoN6WUzwghotEn0l6WUr4shEgB9NTu/iKl/KcQYhTwd53rT0opVwohsgBvUVX4uZTyMyHEUOBXOtd/KKX8UghxDqB6fut0fk4C90kpdwghLgR+LEwWISxRRoM50iDMkYa4sy79RdzsZccaNrx5QcfxQzc4w42GiGiTiIg2xk5d+rExZohosx6ebm9pmGyIiDYZImJMwhJtNliiTMJo6tOAnSBat10VufflnTt3XtzU1DTNaDQKk8lkMBqNBpPJZJ8+ffonQERVVdVsm82WbjabjerHYrGIqKgoG4rWXMA4mJjI1vR0pP975mjKyj4gJqaS5uZvoxzjTgM2Ak8BT6JI/O2VPS94b0RRjFERi0LiuSCEMAEfAT+SUr7vbINGIcQ3USQUVbJhvRDiOWCkM/98KeWDQoh3gXlOQaktKEJTe4QQk1HOLmZLKaUQItHfCggU4bZZthdFOP0/KGyg9tg5QwixHaVT/FhKuTbA+90ghMgFcgEi0iKw1lopKCigxdaCtVYZ2A7YDmCtt2JptugOdiWyBKvVO7yIIlcaJoOJxMhEjlUfo6CgwOeDV1ZWYm2x0mHucMUrrSzlWOsxbkm4BVpg47qNbvfUtNVgrbWyfft27AfdpWUeSHuAtWu6qmhH/Q6stVa+3PAlqRGpSuDs85g2WxHLWF36Z2JMMdS011DvLPt+9lNw0rvMV0RfwUF50C19Nc+ixiLqm35DVEQ0EZ0RzBsyj6KiIqo1z25qMnGs7RhfbfmKI5FHXHX18aRRvBYZy3fHf5fUiFRWH1/NazMV7tNmt2Eymkg3p1PVqXjVGZ81kahu6jQQpBUpGr7NTc1e1zZt2sThqNAvqFUcrTlKSWcJRUUOHFJ6lclaa2XN2jVEGaMorSwloqGBFlsz7e1dJ4nqPQ7poLmpGbvD7pbOsaNHKWp1fy/+QH1Xbm05U5Fwy5rwJHl787rCnX0qXCivLCfKGEVBQQFpRUWMEqPZ3vQVAOcPPZ8Th+vYV1DAsbZjWGutNDc1U1payrmx57Lq6CoAVz2pzwmQFpOGtVnnuUOAtKZ4RkZMYGe94hDEZrPpvlfPPgVgxMihikMc4pDP9G0Om+vZ1qxdg7XWyu7du4mpiiGtqAhzh5n6jq6N8GTbZAoKCrgu4TpOtP2aFlsLqRGpHG93l/hJjUjVbWuHKys5GoQ6SysqItmRrBgs18BqD18bq6qqQtZJCmwFrvEiXaRT0ljCvKR5mGOXUr+/nipblat9adEe2U59Qz3WWpvrmme//Oqrr+g40HfJoLSiIpIcSVS2uBOaR0uKKWgu6HP6vtDh6HDrO7JRut5PWlERVY1VNDc1U9RUxGQxmQNfbgGgrb6NZluz7vhrd9hZv3491lorbcltIXvfxUeKsdZZ2bVrF1FHokKShyf05p2j1mPUVaa4hWn7+ysHX8Ha5N6+PtjzgVu6Dumgvb0du8PkFq+ivIJDfay/tKIiUmWqW7pRpihaba1s3LiR8igd9d8goM3e5jb/VFVXkdCcQEGr0p9YiNkAACAASURBVB9lk4PmVqVMUcYosodmU1BQwN6avVhrrRxpPeIax+eY5lC4vxC7ze6zL1YePsyxIMyPaUVFtNhbvNr2uvXrSDB3L73fG6QVFTHeNJ5d9buIOhntms/279tPQU0BURWH3cqSMzyHI7uPcASFxDhRf4KWzhYv0t/usLv1bRW7tu2iJtKdpCqrKKO2vTbgvrq7YTfWWisbNmxw5VXZWelKp7GzEWttVx81VFS6zTn1nSfCuuZQkVZUhLHN4FavpSWlAa2vtHPzCx+/QMXJCgzC4DZ+NjV1HWa3NBlobnInYfXWLwDpnem69VJWXkZdR53XNfX+YlmMXdo52njUK87eckUK/fef/5746njdtuGrb+mtX3qDtKIimpvc175NJ5uClr4v1LbUuu3xbA4b69evZ6KzPCriLfGc7DhJR1kHBYcKXPcUHSqitr7WK11f768nFBQUcKD8ANYO/9ZDDqOZ82JiE19rqA8euywMjH30A0vUhPnR7dUlJoPJYhAmiwGTWRiMFkPEqKkTxz76waLUq34yvrlwdZIwmg3CaBbCZDYIo9kQOXbW8rGPfjA97banx7aV7xwjDEYhjCaDwWg2CKNJRKVn/nDio+81ZHz/pbTOE0emCYPJ4IwjMBgN5oShb2Q++q5t/P1vJDjaW1IQBoHBKBAGgTAIYYl6TeIQiQuutkikyRmufYK7AMzJozAn+6QOeo1UQ/N44L6srKwku90eIxRgMBiEwWAQwDcBc3p6etA9VPwnK4tOY4CE+UsvRfHww4nypz+VQohCYKoQ4i6g2ElK5QL+eC6cBmgNCU4HPHWnvwYUSinfB5BStgAIIR50Xr/M+Z2IwktNB/4mpVRFp80oziEAsoD9zt9Nzv+/EEK8IqVUw4OOcJNltwFPCSF+ArxHF/tYDYyWUlqdhuL+I4SYqmOPzNf9XpBS5gP5AInjEmVySjLZ2dk0tjeSfFw5PZs4diKVhypJT0ino8E7qcmZkykpLvEKnzp5KoWFyimnyWAioiOC9KHpZGdn+3zw9zvep8XaQnJUsivelvVbcJxw+LyvsqGSv5/4O2eddRaLxyz2mTaAOCT4vPVzzjn7HEY4Jcu0eK/9PeIj4jE2GDG2KJ1qUtYksmf7LrMe4qrieLxpCl+76Kdkp2S5wrM0cc5bch7l9eVkDFFOM5+d/CyfHPiEuWPn8n7T+yyYv4CslCwu5VKWv65IXFlrray4bAVtZW38o+EfNHc2c97i89xOi/sEZx0/wpPYHDYe/exRl5OG3y9YEPrTKg1SalKYPHEyWY2KdNHUSVNo6Wwh2hzNu/vfZV2KwfXsW9ZvYUjCPkQ7lM6M4e75d2Nz2PhzwkcAvFtr5ZWbXuH2128nLinOlUdy1pVkzb7d7b34g+RqpW/4apPjzxrPvR/f6/rfXZsPNt5te5fEyEQlz+JissjCcshMSV0Jc6fORQhBlrM8r554lXVXJnP31f9LjCWGWSheWC997lKSU5LRmgqOsEeQHNX9cwcNzvSbrCVsPLyRC6Zdz4GSD72k3x654cmA352K7RHbWVOxhnMWnUNybTKzZs4ie0I2FBczZtwYV17LM5cz+mv3uaRadmz9knUV67hp9k0UWYtYU76GkXEjOdx4mIzUDNr3HSAmNsapSqD0y5GjRjEpGHXmfJ+ep7ApiSlha2NvNL3BuCHjyF6U7XpPWSjtJiEygfM1cf9y/C8uKYwHz36QBSMXsHHdRnY3dpLWWuuyH6itK4DZs2dzzqhz+l7Y7GxX+9hWtc1l/+eyCZlkz8vue/o+YHPY+NOxP7n+p8Wmdb2f4mJOVJ6gwqEQnllZWa7+aB9t5w+b/kBMbBMXZFzA5wc/d6XR3NTMokWLeNH6IpGRkSF733s376XsQBkzZswge2Jo8vBCsbLWi2lQ2sBVk65i+I5Shk+aQlZmFm22Ntccp9bVsZRjvLr7VWJim7AYLZiNZpdtQRVJZy8hIjWS94fsYP7E+S7poguW3Mfc9Ll9K7OzHFP5A2vL15IWl8axpmP8av2veGrhQte8Hgp8YvuE5ZnLyc7I5rm655g0apLSnouLaaxqpP6wsl6+/azbiTRHQnY2R/ccZbt9O/My5pHRksHOYzv58dU/5vXdr7P6+GruX3I/f932V6++OGrkSCYH2NZ050d1rOhs4bq3rnMF377oXJKjQ2CU3tn3L3X+fej1YpKBc+eeS/bYbCguxlhlZOPhjSzPuoIxCaNdZQQ49s4QRlpGIqV08yja3NSsa0T//MXnMzRmqFvYhrUbiGiMCLivmipMfNLyCQsXLuTVE68CMH3cdLIXKOmcaD1Bcm2yq4+WbvyQmPauOaed9rCuOVwoLsZ8wsKe9j1cO/VaUqJTMAiDq8/6Ayklfzz2RwBGTBjBydqTGIXRbfy8Y/QdTpMqEBdnJibW3RGKWg+e72nmhJm64/76NeuJaoryqrM3znqD73/4fTInZGJz2GiobvCKo7Z1UNp78lHvtuFrntOO/X1CcTF3jvku2w//0RWUOSILY7DS7wbpZenMS5/Ht9/9NjaHjSWLlxBXVsX/jLuHf+79J80dTdix88i5j8D5FwNddZYVkcU94+6hpuU4K4veA2BozFAOHjuo+/56QnZ2Nl+u/ZKoRu93qYdX8t/mx8OH37D+u6/uAcYDqUDC2Ec/uH7MI+8nAB8YcCQakMkCmeS0L3bXxEffe2T8I+/GoJATFomwSDBLhFEilgAMvfqnvrKdCxA9cQHRExfoXc8EsKSOxZI6FsWymtsn3YCdiLh4RFyc5zUMQmYZaMEQITFEWNQwDNgwIBG0xRqQGIxquPbjcIUJpN0ADgMOhxFpNwqHzYi0G3HYjUJ2GnHYTDg6lXBHpwnZacTRKQQ2wAbYnd/ajyssMjJSL44dRUKuIxTfDiEWIuXbKBJbPWPfPti8GTZvliIv7xAQCewGFgMpTtXIJKBDCLFNSvlCN6kZpZStAEKIKYBVSulpXHQWitSaC05ps0Qp5WjPBIUQPwC00jqTgf1OqccGKaUNQEpZKYSYjkLGrRRC/EAl5IKNsJJlTtbvYgAhRCZwuTNc1b9FSrlNCHEApWNt9ef+3qInNT9fhkc9DfwHYkRTe69DOoImqt8XQ57BhkEY3BbUM4bNYMawGWytUl6nZ70vGLEAzHDR+IsoqCwIefk8xefD7VnOLp0G/nNvc4WpI9xFnTcz/kSZG0m49pLJPLb4McVGRUqW0mlf/8h1fWziWB6f+jjZ2dnc+9G9lNUPECPpQYabWo7TXkU2uWT7eX9CZAJ3jruTt066S5j3R9+ZmDzR5UnryklXUlpXSkF5AdNSp3HV5Kv6lHZKdAoWo8WlPqFV0Yg0R5I9Npv6tnrGJI5xM/tQfm0Oq7ZXcuvVtzHDEsMM4N+F/2bVjhdh/CJeSy8nOSWZSUxinfNgZ+rCZUzqU2mdcL7PdUn/pbmzixhYOGKe68ipv5AQ6S0dsjxzOSuLV5IancqSsUvcrsVHxLPqgjGsyF7ByaKTLqIIFIMLwYaveSoUMBlMPHPZMxxpPMIv1no7eZiVNot9tfu4bKLvtzYifgR3zrkTo8HIM1vCrxYfbPX+buFs16oJg7tveNx1yYhixMUT35j6DY40HiHG8hY2eye3zrrVda2lsxWzwURZaRlZw7P4Zea1pExJ4bHPHwtJ8dVDunDZMPtdzu9cvz3H+6JdMazaW81717+n+w5TolO4b+F9XuHmu77PNU1Xc8drd0Ac3LvgXv646Y9MWnA5kwMsX0p0CjdMu0H3WrQ5mnnp89hStSXAVPuGCUMmUHqilCVjnONQbi5zyaUnyvTiCTl8duBTDtYfZHnWFbyx7fWQl1VvrbXx8EaunXotwz3s4gIcvv4yVm0oxFprJTklmckpgb6xICE3l5rDG1m1dg+XXXIjQ4eMCzgJIYRr3pg1fJaXUx1yc0kC7rQ/QGNHIy/veJkvDn1BpCmSG6bdQHNHM6+t+Ysb0bLyhpXc/M7NAZdldMLoHm0W/+bC3/DwZw8zIm6Ea4100/SbKLYWu9q4anvLWmvljW8qBBzA3TcEyZ5Ybi6JwKRbb+aej+/hR4t/hHF4T6atg4MLxyn2DFUbuAZhgNxcooHrOu9wEePaZ/3zZX9W1DZjhxEFjAEutn4Tu8PO5NTJnPOnc3SJsmsmX8Nbhd06HAwI9UMs8tKv/d9TIGeD0FXtkwgMOLAIO2anh0ozdpehfAPqt8QoHBiQ0oDsEMgOA7QLZKdBSJsRR6dAdhqRnQYlrMOIo8OA7DAi243C0WHE0W5EthmFo82Eo92Eo80oZAddpI/nRy9cL6xb4konzJGXlzdwNstBQh587LRB1p1x/y4895yDSy55WL777pMAQohhwHYppcs1sRDiC+AnUsp1zv/3Ay9JKU94pFYihJiBYtz/96Da13DDUWCmJu1UKeVxIYRFCDFTSrlTKLbWRjulyaaj2DdDCJEENEsp253EWJUmnUxn/BeFEEtQnEaEBGEly4QQQ6WUNUIIA/BjFM+WCCFSgToppV0IMQ7Fi4fXjt/X/YFA6y2uJ5tlvuxJ6RnR9hcG3I189mQwGQJb3Id1IxAgVLF/zwVTRmIGIxze0nCnK7p779HmaKYNneYVPjZxrM/0wk329Rf87S/dYUzMGEXRe4BiwcgFzBvRR292TnjZLHNu3L1bl4KeSEOLwcI/rvoH277cxv6joZF2fuXrr9Da2crN/w58AxAMBLMvqSSlXn8OJsLd/0cljNK3L5ebSyRwG962OtV5adUFY7j2im8S75RUsc9sp2DHx9zqdcfphbevfdvvtYJBGLj/7PvJt8Ty34P/5Y5rujZj6iq4uqBAkazwUMkJdVsI5/pCb7yPMkX5LEN3zz48djgPZD7A7LNn02Zr63WZXrryJb/jhquuTAYTs4bN8ju/DZdNJykqiWVL7uZy7naFf/VCCYodZQXfmvkt/rbzb7ppBOOAacGIBWw6sonGjkYKjxcyPHa4V7qqRFtqZCoOHG4eT8MNPYc5gWJ22mxWFq8kyuxbDdxsNHvZNLxq8lUcbz7OX9b8xSt+qNrZpJRJXD35anLG57ip7J41/CwvQviX03/J6ITRvHDFCyEZg9Li0vjXN/4V9HT9gdomte89yqS8v3NHuXvsUZ2zaaE66uoOM4fP7JEsC8RWaqstVkSLjjGjDPWmVEMz0aITE/Zmk3AcMeOotAh7WQS2CiFoossrpOe3Z1jH6Ug0nS6Q2dlf+EWYbdnSRllZidy+3UVqSSmPCSFihRBJUkrVm8ZknOqOQojhwN0o9sw88QDwBorF1BeklHoN+WXgNSHEXhSS86co2oG5wOtCCJUMfQQoBjIAVa1vJorUG87ypAgh9jjv/ZkQYgSKR9MvgH/7fO4+ImRkmRDidSAb5cEOA3lArBDi+84o7wDqyuM8lIfuBBzAd9UXJoR4HnhWSrkVuMHH/X4j2uzdhnxN/Gmx+m6z3Qx1EphkmWe+fd38n0rwtdgYyARfKBAo6XOm1Y8vBIMsA/j1hb/mJ1/8JCxe5foTvV3c67U3daEWHxHvdj3YbdNitLgtCk/Ftn8mOwAIFKfi++0NPJ3dDKJneI73N824iZtm3NSnNOMj4vtElp3OuCL9Ct6o7zIknxjZva3kvpIiFqPFZQ/Kk0hWx4UpqVP406V/YuXqlXzS8kmf8usrfB329iWtQJAakxrU9HqCEIJvz/o20CVdJRBu+53hMcNJi+vaJ3mq655O0GqkCCF49euvBmwmxmIIzzwgOyyO6yJ3jUFxgvc0sDYvL69/vYQNIuTwgzBrYd68ZbKh4Quve6WM9/ivFfW9E7hNVX/0iPdfoFsPMFLKJuAKnfD3UEgzz/DRmt9foBBhajrzNVGD487aD4TSG6a+rDr80TNASvk28LaPdG7X/P6j3v2BQLto9TwpaLW1usVdmrGUp7d4ezLx3HxK6e3Vxhc83UcHiyw7FTZo6iR7pmyQ9KC+J3/f+0BSr4X+lWILVn+ZkjqFYTHDwu7tMVxQ+5dLDbMPanq++mqcJY7GjsZep9ubPEONYI2h4R7nQkleDmIQ/QWHdIS0PZ8pEtn+YkTUCB6a8hBz0+diMphYU76m55t6CYlESukiy7QaH57oTqo+nAjGuB7uNhes9aM2HXWeXJ65nNK6UmWdcRp3pTlpc9hWvc3lbVaFnnmGnvD41Mf5d+u/vUylBKqh1BMMQgrACizPy8vr7Cn+IE4fdEOYtQDLZHa2F1HWY5pSrghW+U5VnDliTTpQJy6HdPDqVa9yzeRr3K77cg3tOVlKpN8TqJfNsiAvBgfyAjDQk7mBRhQFA+qisK+kz1OXPMVF4y4CzpwNcjDJ5YGGYL9DKWXQ2tog+ga9jcYgBjGI7iGldLO32F08PZwp82Iw10nnjTmPaHN0yCQhPd+Jusa2ObwEFgYcgipZ1st3Ni/J20RDT+UJZj8QokuyzCAMGIThtJ/Tfrj4h7x85ctBS2+Wjs01f+owkDbjkLUS2DRIlJ2ZcBJiy+jSq+81UTYIBWf0LkrdREopXV6n9K57wnNyCuRUwNPeWXcb2WAuggYCiTZQJcvCbYcF/Jf28TWJZgzJ6FbkvdN++s2RpzNZFkxoDwEgOGTZ6UhcBwMDYVztTwRjozTYtnxjoM2V4YS/h4mD7efUbCeSLjJUVfMbyNCzXRUo1PfU23Ez1qRrqz3k0JZXSxoKRNClogYaLEZLUL3a9kky0V+hDDoNeDjIG8SZBQ1hVs4gUdZnhNXA/0BFoIstz8nSQc+Thbqp8vSkeSZt/o3CSKwl1q/T4tMVvSEwejw51Fyvb68H4MPSD7lr3l29KGEPZenHRXmoyLLTdbOlbkD87W89LuD74dWHk4wKmspKECUQ/EF/EHaB5jkQSEXVBlOMOTA7M4PoHwza9hy4CApJ7lTDhOCroYUCahlPJTXMnuDvnOc66NbYLBNCYBCGU0Iq8EyDw2EFhup44RnEmQQnQTa2v8txOuDMYWp0oJUsA/8nMi81zABslgUiWXa6YcHIBbx+9euMShjV30XpN7i5oQ4BTrYPYFePfYSD4PUXbT88HdUIJLL3Bv4H2II+nOjrhlurpqKmdTp5KPTEqUQ0XzftOu5dcC/njj6358iD6FdIqThO8qfvnI7j95kC9SDn+e3PD3jHC8E4BAnFWB3O8V8Iwbx0RRV08ejFGIThlCA6BxL02o86j3p6Qe01HE0AZ65UwiAGEWScOUyNDjwNYfsLLwP/AWwYvGyWncEb0zMRwVSN08PpfMp3ppHLfcWgzbLQobtxuz8372GTZgviBi1chJvJYOLCcReeMhJIgyRQYM5JBtdSpxYk0s30yarSVf1Ymp4RTDMiwRjzHl30qF/pBdt756iEUay8YSUTkycOkmVBQk91uKFyAxDwuxzUHBvEIIKEM3oX1dtJRM9mmb8TqL/eMB3SQWtnq+41PZxKJ/wqzsTNQK/UME+RzV2oYXfYT1viJxR9ISjeMANQAQ4W+nPTG4q8T8WxOVwYJDi6x5laPyrRfyo//6lc9nBAq4YJ0NTR1OM9/SpFG6Anc3/S6guizV2O7nYd20VFQ0Wf0/QFrRqmFgZhGJzfggCXiq+PMeOX637Jnpo9fqdntEuAiUEo2iAGMQjOcObZJVnWjc2xCUMmUHqi1C1s3/F9bv/bHG0Ybd1vSFVXweUN5dy58k6eufwZmjqavI205+fTae/krX1vYW21kgMML38PHvVPdSRci4lgniadSYtKdRPgtx2pbhYiZxrZeCZIlgWzL4RS5bfD3hH0NM8EnG4bizNtDBroOF0OVnpDTHg++5m0rggFupWeDcI4JnG32dvS2dJNbOc9/Tje9ERo+AP13mDVH8CJ1hNIJN//8Ps8t/w5hscO74oT5Pry6mNCnBLOGQY6/HHI1dzZ7Hd6F+yu4FB75B3P3357zomkpHdaYmLWA0VASV5e3sDWdx7EIAYgzgiyLCU6hSeWPuEV7rkQ01tozhsxz4ss23hkIwA5n5cD0NzUTExsDBzLh9xc7wLk57N0cwlT99cBkHZ0HTUvHOCq2v1UzBgDRcPc7nu78G2srV22Gf0hprq195Cfz8K9u2jpbCGlo9EVvDpyNd+Z/Z0e09bDw589zMobVvbqXn9xOi52Q6GGebpskHqCQzr6JCXlCzXtNf0+EgbbvTtoJMuC4FDDc9Hdbm8H4GjT0T6nPVAQrI2Fr1P4UOFUGydPtfIOIvwIhjH1Mwn94uSjD+9GSullhqS7de5AGDPGJ43npuk3uUl0BYre1JmvZ1fnKy3xVtNc40aWBQu+7LUNSpYFDr020OkIrvf6ioR4OXnvPgSMBu5riYq6rzEujqa4ON689toTjXFxlSeSkoqaY2NLgArnpww4mJeXN3gSOohBeOCMIMsSIxOZNXyWV7g68Hc3SWvFxIOJ/bX7AYXI80RtS23A6f1l618A3yTMseZjXmEn2k4EnI8WrZ2tRJmj+pRGvyA/n6xtqxnr3PDHHX0dfvCjkOcJQEstOXvKGV32MaSW65OrfqI/Fin9uWj11+BzoKhqrSI5JniuwQcKVOmvYI1henX/6u5XuW7adUFJ35VPP26QQ0FahhqnMqFwKpc91PB3fB8IREKwoT67P4dKg5v1UwdqW3278G22VG1xu6ZK3Q9UjBsyjnFDxvVrGXrq6+H2NP/QOQ8BsGHdhrDme7oh2LaGn1h6If/415vxwDybybQYmJtw8uSkZKt1pMluHwIMAWa0RkZSPSKdsnHjqUtOAiHsK1asKAdKgV3AFuenPC8vz391IiGWAi8BtyLlF+6XRA7wYyAKiAC2AQ9KKWs1cW4EXgXmSym3+p+tuBF4ADADbcDNUspi57V3gLOBCinlAs09i4DfOsvT4rznoN/PGiCEEA9IKZ8MVfqDCA1CRpYJIV4ElgE1UsppzrB/AlnOKIlAvZRylhDiIuBXgAXoAB6SUv5XJ81ZwLNAJGADviel3NyHMgLdSxSEWu3r4vEXe4VdOuFSPir9qCugh7Vgc0eXeK6XWmc3mJM2x++4KrSDerG1mJnDZwacxkCAKhkTTry5501qWmoAiDRF+nXPQFNzCvfGpO2Zp/io5COONB5hMTBpeARsk30iGUHp++6SoU57KY0+pENPFeTnM7FyAxcdPcimT79DDjC05j8QNcTv5wqEwDjd1WJ7g4HWZ0MJmwzOIl+dV1rt/tvpHISCcHgR3Frl934lKCivV8bmU3l8GSSCfWN1+WqvMH80KE6XOg1kjmi19b/tYl/pRpgiQpLf6Qw9wlNVw9RqFOne62f7Nwkp5sqk9S3FX2olIv4gpXzmTyNGjnr3ZMPKqZGRsVMiI+MWtLamjDtQZmgXoq0paciB6pQUe1F8/Lm20aMvEhaLALDZbPKxxx6rioyM3NnS0lKzZcuWxXV1da1Wq7Xt+PHjbe3t7XbgSSnlyneF+GYOvBSp2ER/HyGWqYSZEOIbKETZ16WUZUIII/Aoyp5efcaZwCVAM+C/oTYFR4AlUsomIcSDwOPAjUIIM/ALYA4wT5OXAN4ELpRSFgoh7naW584A8/ULQogxwLXAIFl2iiGUkmUvA08Dr6gBUkqXCIIQ4kmgwfm3FlgupawSQkwDVgEjdNL8DbBCSvmREOIy5//svha0uwnG35OaW2bc4le8jCEZtB3t6v9ab0AA5OYyHtj+bq2LWJl+9nIyu0mzvq0egPsX3u9XGVRYjJaA4mvzAvokju4PwkXMhONkvri22PU+ARIiE/y+tycx/HDiePNx1+/56fNDnp/JYOJI4xHX/7K6Aywe7Z/9PvB9YlfeUM6kPpduYMIm7W4bD68xxge6O9n31RdDYuA//zlytiqb5XFDjFAYQgLTKfFZeLyQmQc3EWfZB7tju88vP59J5WtpP1ZOjKXWp/q9yz5NiPup9h2EazN5+ORhAOpa64KSXlVjFQAnOvom7XwmQmvrKej90dk/DJufJweIPfYa3PfD4ObhkV9DWwOf7vo7OUDk9ldgQk23/XHAkNP5+WTuWU1SizJHWupehu/fF7K83in8N1GmSCY1VjEkMhFKTu2DnjPBq2LS398mZ385qz+/iZHAyLiRcEDnveXnM/3ABixWZR709xDP0/ZVT2voQ/WHKKwt7JGUdqlhniZk5UBDsCXLouxtxM2+PN2DLAPgnqojVqD+86ameoAhRqPpsrj45GsSE+qyrHJMsrVuxDSgfdNmRwk07o2La901Ir1jbEZGdWRkZHpUVNTiJUuWxGnTbG1t7ZRSDn/rmmvu/ZrBsMTkcKgNKhonYSZgM/An4AIpZRmAlNKOQmIBIIRIAn4J5AFzpJQBnQRJKbUsfAuKhBlSyk5gmxDiJmC3Jo5wfpqdxN0MoNIzXSFEhLOc5wMxwB+llM8IIc53ljXBed+1UspWIcRXwNvA5cBw4EqgBFgNRAkhdjifsxFYgSJhZ0SRpOvZeOMgwo6QkWVSyjVCiLF615xs7rUoDQ8p5XbN5b0ojSlCSukp/iOBeOfvBKCqL2VUJ+dAJctunXUrL+14iVUXjAGg6UQTj3zvId8Z5eayKm4lqy4Yw3vXv8cVb1wBwOj40Sy9XH8CHJUwyo1c6Q4n208CEB8Rrx/Bmb9X8NDpfqWvhXay7A3ZdqZCdfAAMCFpAokRiX1Os7GjkShjeNVg56R3SSOG4/17qhDOGzHPR0x9xEXE9RzpNMPuY7vc/vsrxfi3nX8LOC9/0+4tyk6U9Rypj3h689Ou3/4S9B1OGyNaqV5/YDb4R1wGAi1hpUrkhBoBqfbm5zPk6A5yKpzSQseeh/sec12WSNfBy+T4yUEt56kMf0mgUEuWrSwKrW1ST2i9vpkDmGMGgjpqbcvxniMFCVWaQ6TqJj+kj5zE54TN/1XqtWj4gCLXzgRD8dKDEDzceNhn3CJrkVeYdv2tN1fpOd7xne44bgAAIABJREFURXA1tDfQ0K7IK/REVK4pX+Mz/UH0HephUbAQ7WgncszMR6SUL3pec5Ix2dqwwkmTBYpqZiowC7gywmC4YRrET2tujr+uuOShye+9938rVqwwCCFigTHOePOAeVFRUfPHHjyYdcV772WZHF5tKRp4/1r47ZuwU0q5V6/MTrLqORQ1ypnAjt4+vxBiFIqE2M0el6YDrglNSulwasHtRiHN3kARwvHEH4CTKJJpAKlCiCzgB8DlTkm23wDXCiFeBSYDRVLKXwghfgBcJaVcIYR4FmiSUj7tLGcJCil4UgiROEiUDVz0l82yxcAxKWWJzrWrga90iDKA+4BVQoj/QxHxPMdXBkKIXCAXYNiwYRQUFLiuWWsVUdfC/YVYa620mlopKChgX80+1zWAgoIC9tbudQsDKNpX5BZmkia39PWgxi8oKHD9NjX5vm+BfQFr69fSamtl+47tyEO+F841bTVkODI4tPsQjcWNunE8nwFAVAoKqrsvtye2W7djrbUyK3EWB3cc5CC9V+2WUmKttbKvcB9x0XEUFBTQ1NRETU0NbfY21q5dGxoyKDOT19pjXX+TJ2SQ1sP76ysMl3yXNwt/zg8m/oBIyxDWqBd6yLesooza9lrddpIls8gdkeuqN23bUpLuPm09aNupLzyQ9gC/L/49ZWVlFNgCzyMQpBUVcVHCRV0BdVBUV0R1D892UdRFlDSVsGb1GrdwbT01NzVzbuq5rD65muYmhfQoKuo57VCgtLIUa72V3Xt2k3DUf6lDT6QVFdHY2DUGLEtfzoGSAwDdPlezrdn17tesWYPFoGxSd9fuxlprpdReis1mc7U1Ne456ef0qp11h2Elxa73AaF9J2lFRa68MmIzmBoxtcf80oqK2Hqky96OGr+pqYmqqiqabc202lvZvHkzyTKZDRs2uOqrpaSFgtLgPktFS4Ur/eqO6qC/Dz0YpZGk9iSuSLuix/zSioo40HDAVc/HKo6x23lPyZESbJ02NmxS6qjN1BaW8p8K+LjkY463HdetD3Uca2pqYs+OPa73v3XrVhriGrzi9xZpRUXsO9Ll/ftg2UH2hPD9pBUVse7IOtd/u9neY38sPKas4/bu20tBbVe8fcf20WnrdNWfWmd1HXVYa63s2LkDY0XwbDxpxxKA0tJS6sIwbqnwZ9xaX7ue5vZmoNkrvlo/Knac2IG11sr69esZYhniltbB8oPUd9YH3Ff3Nnivp1WU2EpY17QOa62VXbt2EXm46yCmtbWV/2fvzuOjqu7/j79OEkICYQ2yRgibEEIWdlcIWJGKaAVcKFVR0WrVqtRa7GJItVq1VtyqtVZbqVv96k/ErbiALC6sohAQZBGRHQkQsk5yfn/cmWGSTPbJzCR5Px+PeczMXc499869d+793LMcOniIbwu+bdTnh+PffFmj36387+uZpqCggENHnO23evVqcjfnltmen6/6nPxvTgROt+/YzjHXMb/brPzvUNV2vfsrp4O0uR/NpfOBik29lN93xL/c3Fw27dtUYdvPOzivRvPHHI+p0XaOKTxSsuOvE58F2DgwKQoneNMTnAKNpcb0Ko2ISAS6Gms7RUBb45Rs8rJAfqtWBYXR0Xbd0CG//m9W1h+ANuD/qcSFb7xBdHGlHRW06u3cv//TM8AY8yhOgZlca+2pOCW3XrLWbjLGXAGsq3ZF/TDG9AXewWnOaUm50YPxKVlmjJmNUwCnI9AfmIfTxJNvel2A84B+9sQTrP3GmEyc7brMHZBu5U67P7DJWvt/7mlbAJ4qWak4TUl5HAMeN8Y8a61dXJf1leAIVbBsGvBS+YHGmGTgfqBiQ16OG4DbrLWvGWMuwTnwfuRvQmvt08DTAMOHD7cZGRnecZfFXsb7296n/yn92cQm2kS3ISMjg73r97K25EQht4yMDPK25PFpcdnGK4ekDeGTok+83/Ny8vBN35+zS88mOjKasWPGEr/XaUw8oV1ClfNtiN3Ax99+TFpaGhm9q07/Ei6pcnz8nrINmNe1J8tjXx9jWdEy0vqnkTG86jxVx1pL/N54BiUNIu5QHBkZGSxevJjOnTtzvPg4Z511FnHRcdUnVAe+2+PUU0+ld4feDbIcX+PHVbZbV27L6i3sO76PjNEZfscvXrzYu90yMjLKrFd1+6Q/nvmrm/eV3FdIbJ9Ixpm1X0atVJKPAX6H+sxWSe1s3+207MJ4xo2+ibde30J8J2e9fzPtoWrTbghrPl3Ddzu+I2VwChkDM+qeUEYGq17dSYGrgBcnv1imZF1V6/VD/g/EH3C2wejRo70lxo5sOsLnxZ/Tr3c/NqzZ4N3XPNtr4pkTSe2SWvf8+lG6aROtj7Q+ke8BAxhQh325RjZv9i7rkpEnzqFVLs9nnuuH30BURCQD3Nule/fuHCk8Qm5RLqNGjWLv+r0MHD6Q+EPxdGndhbFjxzbIalzqupQZ82dwauKpZAyrIu8BdDZn12zCzZuxBy17tu2hR5seDBo4iEHu7bthxQY2rtlIz6SexB+Lp2VMyzqdt5qih/Y8RHxcvN/t4XveT+qXxPKi5QAMHz6cId2GBC4TPvs6QO8+venUkL9PueWdnnwacdFxVR6PO9ft5KvSrxicPJiM5BPTff/l9yzav8i7/TzbbF/uPp479Bzpaelk9Kk83frmvV+/frQKwnnLo9rz5ObNvH/kfVq3aM3gzikMSCw7vWf7eJRsK2FxwWLOOOOMCm3hLluyjAPHD9T6WI3ZFcN7ee/5HTfklCGcOehM4g/Gk5qaSka/E2mvn7+e+E7x9OrSq1GfH9Z8/DLbS8o+YPb7u23ezLU9r+XFr14sM82H//2Q+BbOf+/QoUMZ0WNEmWu+wWmDy9wrLPl4CT/k/+B3m5W/J6hqu1Z3XVl+3xH/Fi9eTFLPJL4s/bL6iYGbR97MJ999wuo9qwFI6FD1PaPHE689WbpxYNI04GcWzjJOkAtwgmAFsTHkx7aiICaGwpiWFLZsSUHLGIpatiwuim5xtLBlyyNH27U75GrRIgenRFVlrx9wmlE6ZKwdZOH/jBM0Ki9vCbziO8Ba+0tjzARgpjEmArgCuMxdGKYzcNQYs85a+z9/62iMiQc+dH/9t7X2YWNMCjAf+KW19q1y03dyL9e3B72ZwGh3ddBNxpg2OEFF34M0BVjrrsrpKw0411q7tdxypgKf+QxKxenswJOW749/Kk77bH8wxpxnrb3D37pK6AU9WGaMiQImc6I4o2d4AvD/gCvK73w+rgRucX9+FXimLnnwtEPmCRJXVQTZXzXMuvQud/e4u2s9TyCrFfwx44+0iGzBnR/eWf3EVfDUrQ9kL6GhaAehZ9ue7Dy6M+jLra1rh10b6iw0abVpPLexaNWiFQWuglq1KdgxtiP/ueg/fLnvy1pVrQx0oAzAXnct/2v3tvf7TdMasKrQdddx+qThtI9pDzXt6cynWvuNl10P5c5foWhDqWVUy/Bpu8mP6EinIej+8f0rjrTwxV6nxsXxktpVa23KDIaucV2rnc73GiXg/6XXXUfU0FLe3uIcj+f/+KdU7L87cPKu+pn32KrrA72QKdfcxeUXXRWUZdVmO7Vt2Y6jhUfISBzTUDmrtZNancSBvANYbLXnsHCoalsf/WY/wKtL7+PbI99yrMgpAe73/+266+gIXFN8izNdDTvuqs1/gGe/mfTSpCqn821Pa+aQmTVOX/yrzT7s22xDbea75rMtUcCLrqiovbtOTijd27UruXFxtiA2dkd+TMwaGxn5FU4zRvt9XgeAY5mZmXW7kMjM/BZjzgfeomzALA84/1M4DLxhjHnI3T65Ac7BqUlWCnT3rqsx24GzrLW73NUzfwfcY33qMVtrD+FUBfXMczpOIZwrKymllULZ9srACfYNBnYbY0bjtEdWvs2yvUB/Y0y0tbbIGNPZWrsf2AP8GKdtdowxqdbaL93L8a1CmsqJAFln3G21u0vAbbfWvukO5KUjYSsUJct+hFNE0VtZ3xjTHngbmG2tXV7FvLuBMcBinOKb/qpxVsvT44jnRtkTLPN3MvIXLCs/LIK69dgUzJ5kAvW0uSGCZaHwxMQnuPDlCym1pWq0tA6C3StmoP1j0j+Ijoz23qQ3JX8++89sOriJyIjaVTFqF9OOs3qdVen4YN2oBLsHvKHdhtZ53qrOHcFq4D/sXXcdva3l7INXMLDTwArBRThxPmnsN8OB1L1Nd/rUIIB7br9zWf7dcjYc8NsUTL1dP/x63tnyTlDO+Z42ACedUvUNvK9mf3zV1HXXkfN5AWv2rIGf1O8BRCC3+TMXPMP016eXabOsqZ4H2rZsy30/uo9NBzfx6/eraOfYLbZFLLEt6tcUSX23padwQfe47lw48MJ6pSX+9W7fm+05/pu08XTgYrE1vlfpkZtvvunX99k1w4dfjTEbcNrWmp+ZmRmYHnkqY+2icgGzPOB8rF1kAWPM74D3jDElQDGwCqfqo5cxJhbo6BMjGIZTguuP1Sz9efcy57q307fW2gvdpcWy3eNijDG7gDOttTuAm4Cn3O2NHQV+Ym3ZLr6tteuNMfOB9caYPOBN4C6cXj3/ZYz5OVAC/BsnKJaCUw0UY0w00M5a62nM8i3ga2PM40AX4GJjzDGcXjyvrmb9JIQaLOJhjHkJpxHBTu6dM9Na+0/gMipWwbwJ6AfcZYy5yz1svLV2vzHmGeApa+0q4FrgEXfptALcbZLV1srdK8u817Y3TM+fj8E4J7Da/Bk9/TTnrnAaOk5oWwI7Ku/lxnNiDKfAhKfHvNreiEtwzDp1Fn/97K9BWVZjDjJ6SmwEuheicNCtTTe6tekW0DSDeUNqjOG5C5/jqvkNWDKjnm4/7XaW7VxW/YSceBhT056VmyJjDEknVd54v2f/CnagNJzFRsXWqHRodGQ0V6ZdyR0fNP4aHJ7OCgZ2aqp9FQdO7/a9vZ071VSpLQ27YyzCRBBpIsPqOrehVdoZVy0Erbd4Y3hl6ivq0KsBFbr8NdHtbPuNBzfWOr31nWJKNo8YMRWnB8qzMjMzg9czw4mA2XPAVVi76MQo+wLwQtWz23ycDvw8rgauqX6xtl8lw48BJ1cybgVQ7dNSa+1vgd+WG/Y1cJqfaSf7fC7C6QzB8738evyuumVLeGjI3jCnVTJ8hp9h9wD3VDL9TJ/PyyhXfbM+WrdozdHCo7XuDbP8sLoGDXYdrbwnnHDVVEqWNVVje48NWrCsKdAFYNUqO7f9LOVntIgMfM+OjcWYxDGMqaQqU/mbGE+wLNxuUsOFxVbbG1tz9PCEh2s8bdBunBu4xI8nWNbQvew2BY/++NFaz1OXYFkgH5SU33/uHus0TxJhIppVCcG6Pjip7vhrqPNAbZp0kNrLcwW2E8Tcji0jI/JzTWlsXGRQA2UeToAsMTBJ2esDkY5IfTTLq/eLBl4EQFIn50l3VX8w/i4sAlWiZnDnlBpNF04XEZ6i8rrxk6ZgdK/Roc5Co3Tp4EuZnDS5+gmbIc/52vM/4SmNq3NmRZ5t5A0oNs9LEnErLHFKWNQlWBYOVfe6xQW2RG+glZSWhE0J1z9m/JH0rk4zPcaYZhUwD8R/gb/7gvLDwuneQRz+7h9zCnL8TOmc0+pyTimOjMBGRLWhbEPzIlJHzbJ4UEt3Y8PlL9T98Rsso2z1yNpepN044kZcpa5qS2aEw8VfeZ4bv4YsWdYmug3Hi483+PrrQkIiTAQTu03ks2JdU4STcDz31ZZnHeJjnZ7Ezu13biizE9a87YY24qrdUn+92vXirtF30bt97XunLr/vhGJf+tvEv/H25rd5Zm2d+p5qcOFUDdO3Hd0IE6FgWR39dfxf+XLfl/xr3b/8jq/uOHhq4lMcyDtQ5TQSGsYYTmp1Enty99Rqn8lt1QHbMmYOUPue5USkgmYZLPP8edSkAWbftrkyemXw9aGv2XZ4m9/0auS66zBAY63A5CmO3Sa6TTVT1t2fzv4Tq3avonV06+onFqmnuKg4p6lRqVRzak+mvspvqzYt27Bg2gIF56tww4gbaPdVOwbkDQh1ViSE2rRsw4geI2o1Tzidm6IiosK6iYpABcsCvc0jiAir37GhBTKQ2z++P+1j2lcaLKtOj7Y96NG2R8DyI1Xz9yBwdM/RLNm5xO/0nuOi1JbW+CFisdN53NzMzMzmE4EWaUDh8YgpyIpLnDtjTympmpYsuzL9Sp6e9DRtWpYNFDVU1ZFwbOB/StIUfj7s55zd5+x6p1XZenVu3Znz+p9X7/SlYTWF0j8SnppiCaNgrFNjOyY9+e3UqhO/HPXLsKki1tgoEBs+wul6rbwSWxKwzpkCeT5TNcz6Ccd7Bam51C6pAJza49QK4y5JvqTW6RVFxwIcr2e2RMStWQbL3vj6DQAW7XA66fBWp/Tz5+/vT+2igRcxvs94bhpxkzNfI7tBqY8WkS04/5Tzw6Yov4hIOGqKAT8Jb83pWsQjXAOF4Xj8T0+Zzo0jbgx1NirwNPDfXII9DXWcukpdzFk8h82HNgMKnoUjf+cFz+9U/r7qwPEDtG5Rhxo2ziLmZGVlhd9JSKQRapYRj6vTrwZgXOK4aqetrIH/m0fdTIfYDu4BAc2eBEk4XsxK8DXHG8ya0rapvVDcvB8pOMLx4uMcLTwa9GVL0xfO/5V1bTu2OerdoTcDOtWuqvORwiMNlJsTDE7Jsj3H9gCwfv/6Bl9mKAXiePIXCFu7Zy2r96zmVwt/Ve/0JXgq6zE7rzivTEnQmu43OUePFgK/Az7IysqakZWVlRCovIo0R+HbuEIDmjRgEiN6jCA2KpaPdnxU5bRVVQvxXJw1dA9e4frktLFrqtt18EmDGde7+kBwZU5POL3aaZpTlQmR2vD06BfMm/fvjn4HwI6cHUFbZqCo9EP95bvygea9LcMloPf31X8Hms71xa8W/orRPUeT3jWdc/qeU6+0Kgu8HSk8wpKdS4iOjAZg2XfL+BVNN+ATiP8G3/3Lk95n35/oqEjXaI1HSan/HrMjTESd9pU9e77P7Thw+O3A74HnALKysjYB7wMfAIszMzP1ZE2khpplyTKArnFda1SVsKppPOMa6iJNT0qDo6lt5/t+dF+dL2pfvfhV7jjjjmqnK3AVEBMVU6dliFSnqR2TDa1DjFPK+XDB4RDnRELh9Y2vA7D98PYQ5yT8fLXvqzLfdx/bDcCaPWsadLnh3NB/bS3ZuYRHVzxaZlhdztGnxJ/id/jxYqd5pe05zv47c8hMv9N9se+LWi8zHDVUm2W+8ovzKSktaTJB26bC33HjechRvj3ByIjIMvvK14e+rtEySjFkZmY+DnQH0oHbgW+BmcB84EhWVtYNdcm/SHPUbINlULMgV1V/ag39JFONdkqwxUTF1KgB4Nyi3CZzM6Djq3q64K49V6kraMuKbxUPwI/6/Choy5TwMarHKABOTajYQHQgeEqptHR6WWsUPDelv/3ot2WGp3RJ4cIBF3LN0GsaZLkvT3mZJ857otH35n2s6FiFYYfyDtUrzcT2iVWO33p4KwBJJyWVGf59/vf1Wm64qeu9g2+gxfe6xfOwxNfx4uN8se8Lvjn8TZ2WJcHjOb+WD6RFmIg6BVZLXZQCuHvD/BpYDXwKLPWZ7LK65Vak+Wkad7t1VJMnY1UFDlQNU5qjAlcBxaXFrN6zOtRZaTIaQ0mqYOYxXKpU1UdOQU7QlhUTFcNLU16qW2PAIaZgdf0N6z6M2Bax3qBpQ+ncunODpt9Qfsj/wfs5KiKKmUP9l1wKhNbRrRt9oAzwth/ma92+dYzoPoKVu1fSPqZ9ndK9ZNAlbDq4qcywmUNm8szaZ7zfW0S0KDM+15ULkXB+//PrtMxwE+j/UmMMT5//NNe9dZ13WH5xfkCXIYHh79qmsjbLKhtWnaKDEUUAWVlZtwD3AHFAKbAJ+A+wBJhX64RFmqlmHSyrbzVMz0mv2BYHLE8i4S4mKoYbht/AkK5DQp2VJiMYjSjXhwIatde7Q2+yyQ7a8uKi44K2rEBpCkHRcJDQNoGEtg3fhnM49oLteZhYVQDimx9Uuqa2PP9J01Om89H2j9iTu4eHP3vYO76uDwMuT7u8wrCzep1VJlhWvtT6uV3PZWvcVmakz6jTMsNNQ5z32rRsU+b7vuP7Ar4MaRiVBcustXXbV2LbtcjKyuoNzAU+Ae4DlmZmZob3haZImAq/K58gqm81zJ1HdgLwQ+EPlU4jlQuXEnO6Yau98/qfR7c23UKdjYAIh1JdnlJ6ni7fmzvPb9JYq/qe1++8RlsKR6S8y1Mvr1HHL+Gq0FUY6iw0OgWuAgD6duhLUqekaqaun5aRZav3togsW7IsLiqOW069pVFVA65KIILO5a+f46LjePXiV7l33L0A3L3k7novQwLv3W/erTBsYKeBAKR2SS0z3GLrtK9EJiTHAYeBEuAokAPk1TohEQGaebCs/EnI301zVSeqhm6TxpOfpl6qIxyCFSLhYMnOJaHOQlhpbMGy7485besczDsY4pyIBM4lyZdw51l3hjobFT39NKe8/jHnfvgtif9dCE8/7XeyBz55IMgZa/zO7XsuAH079q1RO6b1UT4IVr4aZlPTUNe8MVExevgb5vxdGwzuPJj/Tv0vQ7sNLTN8/f71dQqWRdtSk5mZmQP8GvgRTltlOVlZWcuzsrIez8rKujQrK6tu9ahFmiEFy6oRaSq/SGjoP3T96Yk0L61atAp1Fvw6nH+Y/JLgt4HSWG+aVuxeEeosNAp6UCL1dbwoF6jY+Hz2geBVgW6KTjv5NBZMW0DH2I4N/r9U/jo7XP8HAyUQ1/aVPUSvrhMFCU+xLWIrDBt00iCKS2rfzE//3etdAJmZmQ8DnYHJwD8AC9wIvAwczsrKGlSPLIs0G806WFaTC/WqAmoNXSRcNxIizUtal7RQZ8GvL/d/GdTleaoAxUTFBHW5ItK4HHI33l8+eLAnt2ID9VI3dW3Mv6bKB4/KV8Nsaup6bV+TIFtcdBxtW7atU/oSXmKiYigurX2wrGvRcQOQlZXVATgdGA4MBlJ8JssHdgcgmyJNXrMOltW3gf/oyGgABrQZELA8+RMubXuJSMNIbJcIwKzTZoU2I2GiQ2wHOsZ25IbhN4Q6K7Xy4DkPAvC38/4W4pw0Ivp7k3qIcbd3ld41vczw+390v/fzG5e+EdQ8NTXBaH/xqYlPATA2cWyDLyvUGrqjjBcmv8CEvhMadBnS8AyGXu161Xq+XTFxJVlZWfOBg8BbwB1Ae+AF4CogGWjjrqopItVoXA3CNDB/T21822oo/zTI871846TSuKgEX/MWDtWd7z/nfo4WHg3bklSpnVNZf2x90JYXHRnNv3/y76AtL1AGdhrIgmkLQp2NRiMcjj1pxK67jtOOnc8H2z6gU+rl4LM/xbeK5/dJv2fC2RPCshfPxsT3GimtSxrr9q0L+DJ6tO3R7M6dnVp1qtX0vVr1YvVRpzOg6h6iq4OZxsfTK6ZHh9gOdfqPbJWU3AY4C3gAeA9YmZmZqQb+ReqoWQfL6tsbpmf+hi751dQb+Bdp7lq1aBWW7bQomCEi4ax7m+5ckXaF33GtolopUBYAnv+BP437EymdU7jg5QtCnKPGzRjDnWfeySnxp9Rqvt6tezMibgQrd6+sdtoJ/Saw9fBWfjHiF3XNpjSAlM4pfLX/K7/jSmyJ9/OUpCmM6TWmzPgB8TWrxeRqGWNawGmZmZlf1z2nIuKhq4hqVHWh5QmSNdQNpW5URSRs6HQkItLsdGrVidMTTqdrXFddlwbI6SefXuuSZYA3wNYxtmOV07Vp2YbZZ85W+2VhpqrCFb4ly2akz6hwrNU08P91REyhAmUigdOsS5bVRFUnJ09JkLZRDfNn1NSrB6rEnIhI86b/AZHwNrDTQO48607v94xeGfTp0CeEOWq+Lkm+hJTOKSR3Tg51VqQOZqTP4Pb3b/c7rqS0xO9wjx/3+3GNlpEXHV3rfIlI5RQsq0b5Lq19De8+nFmnzqJke9UnuPpq6g38h+pJpW7SRGpGx4qIiAD86vRfhToLzVaEiVCgrBEb0GkAfxr3J55d+yyzTpvF0cKj3nHxreIB6BDTwe+8GYkZNVrGDzk5hfXOqIh4KVhWjeraLBvbeyyLv13coHnQjaqIhFJTD9iLiIiINLTULqnMnTC3wvCoiKgqO7moacGCo0ePKVgmEkBqs6waoWwcVm1DiEgoNfWq4CIiIiJNRVzr1i1CnQeRpkTBMh/+bgwjIyqvhtnQ9ubuBeBw/uGQ5aE5UMk9EZHgUzBWREQkcPok9myXlZWlhstEAkTBsmqEsmRZocspSZvvyg9ZHpqDIwVHQp0FkbCnwIaIiIhI+IqMiDComSWRgFGwrBqhDJb96vRfMajTIC4bfFnI8tAcJLRNCHUWRESaJZXsFRERCYyco0cLMzMz80KdD5GmotlHnq9Ov5pT4k8BYE/ungrjQxks69SqE/efc3/Ilt/UxcfGcyj/EB1i/fc8IyIOBTSkIahdThERkcCJadkydO0HiTRBzT5YdlHSRd7PH27/sML4SKNzTlP11PlPUVRSFOpsiIQ9a62qYYqIiIiEseLi4tJQ50GkKWn2wbLq+D75VumKpiUmKoaYqJhQZ0MkbHnOfzr3iYiIiIS36BYtVMpDJIAULPNRUlpS5fimUAqpb4e+DOk6JNTZEJFGRiXLpCEoECsiIhIYkZERulgTCSAFy3yM7jWaj7/9uNLxnt4pG7O5E+aGOgsiIiIiIiISQCpZJhJY6g3Tx7VDr61yfLc23YKUExEREREREZGaMcaQlZWl0mUiAaKSZT7axbTzfu7fsX+F8WrfSqTp6d26NzFFMcwZMyfUWRFpflQLU0REJCAO/fBD/r+fmKN/VpEAUbCsnAXTFtRomIg0DXFRcbx68auhzkZYs1bXXRJ4agdPREQkcL7duetYqPMg0pSoGqaIiFRJjbC8CwE5AAAgAElEQVSLiIiIhLfS0hJdsIkEkIJlEjIqrSLSiKgQkIiIiEjYsmrcQCSgVA1TQk5VcUREmh9jdO4XERGpzE0jbqJ1dOuaz6CCCCIBpWCZiIiIiIiISBg5t9+5tZq+tLS0gXIi0jypGqaIiFRLJUClIag9PBERkQBRGzciAaVgmYiIVEnXXiIiIiLhTddrIoGlYJmIiPjlKU2m0j8iIiIiItKcKFgmIiIiIiIi0ohZqzbLRAJJwTIREREJCZVaFBERCQzVwhQJLAXLJGR0kyQi0nyp0wgREZHAMUY3VyKBpGCZhJwxumESCXcKbIiIiIiEMRUtEwkoBcskZDw9tpSqfr1IWFPvSiIiIiLhTQUQRAJLwTIJmaU7lwKw+9juEOdERPzxXHSpyrQ0BF3Ui4iIBJKu10QCScEyCZlIEwmAq9QV4pyISHVUDVNEREQkfBkToYs1kQBSsExCpkVkCwBKSktCnBMREREREZHGS5EykcCKCnUGpPnylFQ5XHBYe6JIGFObZdIQPP8B+cX5HCk8EuLciIiING7RrVrrjkokgHRAScis3L0SgA0HNjCh24QQ50ZEytubuxeAbTnbOJR/KMS5kaYmrzgPV6mLS/7vEgB+1e1XIc6RiIhI42UG/uikmzMf/LBTRN4i4EtgcWZm5tFQ50uksVI1TBER8WvV7lWhzoI0Ye98806Z7yrBKCIiUnc5tGZlccI44G5gPnAkKysrLcTZEmm0FCyTkLkq/SoALhp4UYhzIiL+3P+j+0OdBWnCRnQfUea7escUERGpuzhTSGrUXt9BK4CdIcqOSKOnapgSMu1i2rFg2gIAFi9eHNrMiEgFraNb6xiVBnPXmLvofKQz22K3kZWRxefLPw91lkRERBqtk/ctP9ajV9tJwJeZmZmHQ50fkcZOwTIREREJiYFtB3J9xvWhzoaIiEij9/mCF3a8e2Dvx6HOh0hToWqYIiIiIiIiIo3Y4YP7ikKdB5GmRMEyERERERERERERNwXLRERERERERERE3BQsExERERERERERcVOwTERERERERERExE3BMhERERERERERETcFy0RERERERERERNwULBMREREREREREXFTsExERERERERERMRNwTIRERERERERERE3BctERESaiUOHDpGenk56ejpdu3alR48e3u+nn356gyxz7dq1XHPNNQFL7/HHH+fZZ58NWHoiIiIiIuVFhToDIiIiEhzx8fF88cUXAMyZM4e4uDhuv/32Bl3mvffey+9///uApXf11VdzxhlncPXVVwcsTRERERERXypZJiIiIsTFxQGwePFixowZw4UXXkifPn2YPXs2L7zwAiNHjiQlJYWtW7cCcODAAaZMmcKIESMYMWIEy5cvr5DmsWPH+PLLL0lLSwPg448/9pZkGzJkCHl5eQA8+OCDXH/99aSmppKZmemd//nnnyc1NZW0tDQuv/xyAFq1akViYiIrVqxo0O0hIiIiIs2XSpaJiIhIGevWrWPjxo107NiRPn36MHPmTFasWMEjjzzCY489xty5c7nlllu47bbbOPPMM9m5cyfnnnsuGzduLJPOqlWrGDx4sPf7X/7yF5544gnOOOMMcnNz+fzzz1m4cCFbtmzhySefZMyYMVxwwQUsWbKE+Ph47rnnHj755BM6derEDz/84E1n+PDhLF26lJEjRwZtm4iIiIhI86FgmYiIiJQxYsQIunXrBkDfvn0ZP348ACkpKSxatAiADz74gOzsbO88R48eJTc311tCDWDPnj2cdNJJ3u9nnHEGs2bNYvr06UyePJnIyEjeffddFi5cyEcffURcXBy5ubls2bKFdevWcfHFF9OpUycAOnbs6E2nc+fObNq0qeE2gIiIiIg0awqWiYiISBktW7b0fo6IiPB+j4iIwOVyAVBaWspnn31GTExMpenExsZSUFDg/T579mwmTpzIO++8wxlnnMHdd9+NtZY777yTAQMGkJGR4Z32scceqzTdgoICYmNj67p6IiIiIiJVUptlIiIiUmvjx48vE9DydBzgKykpiW+++cb7fevWraSkpPCb3/yGESNGeKtvPvvss+Tn5wPw/fffs3//fsaNG8err77KoUOHAMpUw9y8eXOZ6p0iIiIiIoGkYJmIiIjU2qOPPsqqVatITU1l0KBBPPXUUxWmGThwIEeOHOHYsWMAzJ07l8GDB5OamkqLFi0YOXIk48eP56c//Sk33ngjKSkpTJ06lWPHjpGcnMzvfvc7xowZQ1paGrNmzfKmu3z5cs4555ygrauIiIiINC+qhikiItIMzZkzp8z33NxcADIyMspUh1y8eLH3s++4Tp068corr1S7nKuvvppXXnmFmTNnVqha6Un7lltuIS0trcxyAa688kquvPLKMsPWrl1LcnIy8fHx1S5bRERERKQuVLJMREREGswNN9xQpg20+jp48CB33313wNITERERESlPJctERESkwcTExHD55ZcHLD1VvxQRERGRhqaSZSIiIiIiIiIiIm4KlomIiIiIiIiIiLgpWFYLiYmJpKSkkJ6ezvDhw/1Os3jxYtLT00lOTmbMmDFBzmH4+e677xg7diyDBg0iOTmZRx55pMz4hx56CGMMLpfL7/yRkZGkp6eTnp7OBRdcEIwsh52SkhKGDBnC+eefD8A111xDWloaqampbNu2zdsod3n33Xcf/fr1Y8CAAfzvf/8LZpbDQk5ODlOnTmXgwIEkJSXx6aefcvjwYZKTk4mIiGDVqlWVzluTY72p+frrr73HWnp6Om3btmXu3LmsW7eO0047jezsbCZNmkRpaWmFeQsKChg5ciRpaWkkJyeTmZkZgjUIrkceeYTBgweTnJzM3LlzvcMfe+wxBg4cSHJyMt9//73feR9++GGSk5MZPHgw06ZNo6CgIFjZDpqrr76azp07M3jwYO+wV199tcrjr6ioiLi4OP7yl79UmfYvf/lL4uLiAp7nUPG3rf7whz+QmppKeno648ePZ/fu3QC88MILZGdnk5KSwqZNm1i3bp3fNB9//HH69euHMYaDBw8GZT2Cxd/28vBcU3jW+fDhw1x00UVkZ2czcuRI1q9f7zfNDz/8kKFDh5Kens6ZZ57JN99806Dr0Fz5++0uvfRS7/9OYmIi6enpAOzYsYPY2Fiys7NJT0/n+uuvrzRd3/PuHXfc0eDr0VT5+3081wApKSlMmjSJo0ePAs75+qqrriI7O5u0tLQyHcH4qmx+EZFGwVrb5F/Dhg2zgdCrVy974MCBCsMXLVpkrbX28OHDNikpyX777bfWWmv37dsXkOU2Zrt377arV6+21lp79OhR279/f7thwwZrrbU7d+6048ePtz179rTvv/++tfbEtvRo3bp1UPMbjh566CE7bdo0O3HiRGuttUeOHPGOmzdvnr3vvvsqbLcNGzbY1NRUW1BQYLdt22b79OljXS5XMLMdcldccYX9xz/+Ya21trCw0B4+fNi+++67dtOmTXbMmDF25cqV1tqK+5y1lR/rzYXL5bJdunSxO3bssMOHD7eLFy+2ixYtsv/85z/tCy+8UGH60tJSe+zYMWuttUVFRXbkyJH2008/DXa2g+arr76yycnJ9vjx47a4uNieffbZ9r333rMfffSRPfvss21BQYG11nrPa7527dplExMTbV5enrXW2osvvtg+99xzwcx+UHz88cd29erVNjk52TssOzu7yuPvn//8p506dap98MEHK0135cqV9mc/+1mT+m/wt618z/OPPPKI/fnPf26ttXb58uX2gw8+sNZaO3/+fDty5Ei/aa5Zs8Zu3769SZ7L/G0va8teUxw4cMAuWrTI3n777XbOnDl20aJFduPGjXbcuHF+0+zfv7/Nzs621lr7xBNP2CuvvLKhVyOs+PsfbAiV/XYes2bNsllZWdZaa7dv326Tk5OrzVv5825TvfYOxm/k7/fxXANY65yjf//731trrX388cftjBkz7KJFi+y+ffvs0KFDbUlJSYU0K5u/uQnWMQassmFw762XXk3lpZJlAfTiiy8yefJkevbsCUDnzp1DnKPQ69atG0OHDgWgTZs2JCUleUtb3HbbbTzwwAMYY0KZxbC2a9cu3n77bWbOnOkd1rZtW8AJdJeWlvrdfvPnz+eyyy6jZcuW9O7dm379+rFixYqg5TvUjhw5wpIlS7jmmmsAiI6Opn379sTExDBgwIAQ5y78ffjhh/Tt25devXqxefNmRo8eDTgNqx8+fLjC9MYYb0mf4uJiiouLm/RxvXHjRkaNGkWrVq2IiopizJgx5OTk8OSTTzJ79mxvz49RUf770HG5XOTn5+NyucjLy6N79+7BzH5QjB49mo4dO5YZlpSUVOnx98YbbxAdHU1ycnKlaZaUlPDrX/+aBx54IKB5DTV/28pzngc4fvy493g6/fTTiYyMBKB169bs2rXLb5pDhgwhMTGxYTIcYv62F/i/psjOzmbcuHEADBw4kB07drBv374K8xpjvCVejhw50iSPyXBQ2W8HzjXNf//7X6ZNm1arNMufd3XtXXf+fp/y1wCvvfYaUPbY6ty5M+3bt/dbYriy+UVEGgMFy2rBGMP48eMZNmwYTz/9dIXxmzdv5vDhw2RkZDBs2DCef/75EOQyfO3YsYO1a9cyatQo5s+fT48ePUhLS6tynoKCAoYPH86pp57KG2+8EaScho9bb72VBx54gIiIsofqVVddRdeuXSkoKODmm2+uMN/333/PySef7P2ekJBQaZWwpmj79u2cdNJJXHXVVQwZMoSZM2dy/PjxGs9f3bHe1L388sveG5bk5GTmz58PONXoioqK/M5TUlJCeno6nTt35pxzzmHUqFFBy2+wDR48mKVLl3Lo0CHy8vJ45513KCoqYvPmzSxdupRRo0YxZswY8vLyKszbo0cPbr/9dnr27Em3bt1o164d48ePD8FahI/c3Fzuv//+agMUjz/+OBdccAHdunULUs5C63e/+x0nn3wyL7zwAn/84x8rjD948CA//vGPQ5Cz8FPZNUVaWhqvv/46ACtWrODbb7/1G2B85plnOO+880hISGDevHnMnj07KPmWE5YuXUqXLl3o37+/d9j27dvZuHEjY8aMYenSpX7nK3/eXblyZbCy3CyUvwb47rvvAOfYevPNNwHnd1q9erV3XE3mFxFpDBQsq4Vly5axZs0a3n33XZ544gmWLFlSZrzL5WL16tW8/fbb/O9//+Puu+9m8+bNIcpteMnNzWXKlCnMnTuXqKgo7r33Xr8X/+V9++23rFq1ihdffJFbb72VrVu3BiG34eGtt96ic+fODBs2rMK45557jt27dxMTE8Mrr7wSgtyFN5fLxZo1a7jhhhtYu3YtrVu35s9//nON56/uWG/KioqKePPNN7n44osBePbZZ/nb3/7Gxo0bOXbsWIXArUdkZCRffPEFu3btYsWKFZW2DdQUJCUl8Zvf/Ibx48czYcIEbxs7LpeLH374gc8++4wHH3yQrVu3Yq0tM+/hw4eZP38+27dvZ/fu3Rw/fpz//Oc/oViNsDFnzhxuu+22SvctgN27d/Pqq6/6fTjQVP3pT3/iu+++Y/r06Tz++ONlxi1atIiDBw9y//33hyh34SMvL6/Sa4rZs2eTk5NDdnY2jz32GEOGDPGWzPP18MMP884777Br1y6uuuoqZs2aFYysi4+XXnqpTKmybt26sXPnTpKSkvjrX//KT3/6U7/tXZU/715yySUVzrtSd55rgGHDhnHs2DGio6MBp32zhIQEsrOzufXWW8uUeq3J/CIijYGCZbXQo0cPwClufNFFF1Wo1paQkMC5555L69at6dSpE6NHj6608d3mpLi4mClTpjB9+nQmT57M1q1b2b59O2lpaSQmJrJr1y42btzI3r17K8zr2eZ9+vQhIyODtWvXBjv7IbN8+XLefPNNEhMTueyyy/joo4/42c9+5h0fGRlJx44d/RZp79GjR5mnd7t27fJuy+YgISGBhIQEb+mmqVOnsmbNmhrPX92x3pS9++67DB06lC5dugBO1aWFCxeSlJTEtGnTvFVdKtO+fXvGjh3Le++9F4zshsw111zD6tWrWbJkCR06dCAmJoaEhAQmT56MMYaRI0f6bVz9gw8+oHfv3px00km0aNGCyZMn88knn4RoLcLD559/zh133MFXX33F3LlzuffeeysEh9auXcs333xDv379SExMJC8vj379+oUox8E1ffr0Muf5/Px8Zs6cSb9+/YiPjw9hzsKDv2uKoUOH4nK5aNu2Lc899xyDBg3i+eef58CBA/Tp06fM/AcOHGDdunXe/4tLL7202R+TweZyuXj99de59NJLvcNatmzp3b+HDRtG3759/T6ALn/ejYiIaHKdWoSS5xpg9erVTJs2jb59+wJOMwMPP/wwgwYNYv78+eTk5HDKKafUeH4RkcZAwbIaOn78OMeOHfN+XrhwYYWemC688EKWLVvmbYfm888/JykpKRTZDRvWWq655hqSkpK8T2pTUlLYv38/O3bsYMeOHSQkJJCUlETXrl3LzHv48GEKCwsBp7rJ8uXLGTRoUNDXIVTuu+8+du3axY4dO3j55ZcZN24c8+bN8/bSZa0lJyeHgQMHVpj3ggsu4OWXX6awsJDt27ezZcsWRo4cGexVCJmuXbty8skn8/XXXwNOG1w13Xdqcqw3ZeWf7u/fv9/7+Z577uGkk06qMM+BAwfIyckBnBv5999/3+9+2ZR4tsvOnTt5/fXX6dixIz/5yU9YtGgR4FQNstbSqVOnMvP17NmTzz77jLy8PKy1fPjhh83+f2Lp0qXs2LGDlJQUbr31Vn77299y0003lZlm4sSJ7N271/u/0apVqybdY+GWLVu8n+fPn+89nnbu3MnWrVuZN29etYHr5sLfNcWaNWuIiooiJyfHW3X8mWeeYfTo0WXagwPo0KEDR44c8QZi3n///WZ/TAbbBx98wMCBA0lISPAOO3DgACUlJQBs27aNLVu2VAh0AhXOu0VFRRXOu1J3nv+60tJS7rnnHm+vpHl5ed7mLd5//32ioqL8XmdVNr+ISGOgYFkN7du3jzPPPJO0tDRGjhzJxIkTmTBhAk899RQHDhwAnKo5EyZMIDU1lZEjRzJz5sxmdZPtz/Lly5k3bx4fffSRt2vwd955p9Lp8/LyvI3Zb9y4keHDh5OWlsbYsWOZPXt2swqW+WOt5corryQlJYWUlBSKi4u56667AHjzzTe9n5OTk7nkkksYNGgQEyZM4IknnvBbPL4pe+yxx5g+fTqpqal88cUX/Pa3vyUnJ4eEhAQ+/fRTJk6cyLnnngs4VbzOO+88oPJjvTk4fvw477//PpMnT/YOe+mllzjllFNYv3493bt39z7p991me/bsYezYsaSmpjJixAjOOecczj///JCsQ7BMmTKFQYMGMWnSJO/xdfXVV7Nt2zYGDx7MZZddRmJiIsaYMttq1KhRTJ06laFDh5KSkkJpaSnXXXddiNcm8KZNm8Zpp53G119/TUJCAv/85z/5f//v//k9/qpy3nnnsXv37iDkOHT8bavZs2czePBgUlNTWbhwIY888ggAf/zjH3G5XPziF78gOzub4cOHe9Px3VaPPvooCQkJ7Nq1i9TU1DKdxDR2/rZXZTZu3MjgwYPZsGED7777rnc7wontFRUVxT/+8Q+mTJlCWloa8+bN48EHHwzGqjQ7lf12vu1keixZsoTU1FSys7OZOnUqTz31lLfx+ZkzZ3obky9/3v33v//dpDuYaUj+fh/PNcDAgQPp3r07V111FeAEwYYOHcqGDRu4//77mTdvnjcd39+nsvlFRBqFUHfHGYxXz549bUMKVnfATZlnG86aNSu0GWlkPNstFPvg3//+96Avs778bafmcvzW9/cK5b7WGARy32qMx1Zd+W6jxrhvheK30rFYM+X3reZ0XNVWOO5Lnt8rHPMWCuG6HXRs1Uywfj9glQ2De2+99Goqr2ZRskxtFzQeb731VqizIDXUHHuJbMz0ezUe+q0aD/1WjYd+q8ZFv1fjod9KRJqqZhEsExERERERERERqQljbdPvXjkqKso2ZEO4rhIXkZFqH6E+XK5SjInE5XLRIkrdSteUtSVERUXicpVgTHDbJCspcREZGRXUZdaXZ3v5KnG5iGwG7Zu4SkqIqke7dSXWEhkVFZJ9rTHwt2/VdVs1xmOrrny3m3MsNq59y1XiIirIv1WJLdGxWAO++5bLVUJpqW02x1Vt+Tt/hZrL5SIqKgpXiQsTqWf7tqQ06OeamtCxVTPBOsbcnQc1/YtakSBpFme29PR0b0OTDeG1BU9y9qSE6ieUSj3793V06z2eL1cc5PSR54U6O43Gru0LuOHnk3jy7wtI6D0p1NkJe57t5WvBk88wKUFdmVdnwa6tTLphpva1Svjbt7Stque73RY8+X9MSsgIbYYagQW7FjPphqnav6rhu29pW1XN3/krXDy54EUSJo0KdTZCbteCz7lh0k9DnY0KdGzVTLCOMWPM6gZfiEgzokc1IiIiIiIiIiIibgqWiYiIiIiIiIiIuClYJiIiIiIiIiIi4qZgmYiIiIiIiIiIiJuCZSIiIiIiIiIiIm4KlomIiIiIiIiIiLgpWCYiIiIiIiIiIuKmYJmIiIiIiIiIiIibgmUiIiIiIiIiIiJuCpaJiIiIiIiIiIi4KVgmIiIiIiIiIiLipmCZiIiIiIiIiIiIm4JlIiIiIiIiIiIibgqWiYiIiIiIiIiIuClYJiIiIiIiIiJBY4xJNMasLzdsjjHm9oZKP9ACmV8JPwqWiYiIiIiIiIiIuClYJiIiIiIiIiJhwxjzS2NMtjHmS2PMy+5hY4wxX7hfa40xbYwxccaYD40xa4wxXxljLvSTVh/39CPKDc8wxnxsjJlvjNlmjPmzMWa6MWaFO62+7ukmGWM+d6fxgTGmi59lXGuMedcYE+v+vNIYs84Y85oxppV7mn8ZY540xnzmXl6GMeZZY8xGY8y/GmRDSp0pWCYiIiIiIiIi4WQ2MMRamwpc7x52O3CjtTYdOAvIBwqAi6y1Q4GxwEPGGONJxBgzAHgNmGGtXelnOWnu9JOAy4FTrLUjgWeAm93TLANOtdYOAV4G7vBNwBhzE3A+8BNrbT7wurV2hLU2DdgIXOMzeQfgNOA24E3gYSAZSDHGpNdyG0kDigp1BkRERERERESkWbHVDP8SeMEY8wbwhnvYcuCvxpgXcAJSu4wxLYB7jTGjgVKgB+Ap+XUSMB+YbK3NrmR5K621ewCMMVuBhe7hX+EE3wASgFeMMd2AaGC7z/xXAN/hBMqK3cMGG2PuAdoDccD/fKZfYK21xpivgH3W2q/cy94AJAJfVJJPCTKVLBMRERERERGRYDqEU8rKV0fgoPvzROAJYCiw0hgTZa39MzATiAWWG2MGAtNxgmLD3CXO9gEx7jSOADuBM6vIR6HP51Kf76WcKFz0GPC4tTYF+LlP+uAE1RJxAmoe/wJuck+fVW563/TLL1uFmcKIgmUiIiIiIiIiEjTW2lxgjzFmHIAxpiMwAVhmjIkATrbWLgJ+A7QD4owxfa21X1lr7wdWAgPd4/Zba4uNMWOBXj6LKQIuAq4wxvy0HtltB3zv/nxluXFrcQJobxpjuruHtXGvWwucYJ40QgqWiYiIiIiIiEiwXQH8wRjzBfARkGWt3QpEAv8xxmzEKRn2qLU2B7jVGLPeGLMPKAbeBV4AhrurNV4BbPJdgLX2OE57YrcZYy6oYz7nAK8aY1ZzouSb7zKW4bSn9rYxphPwB+BznGqjm8pPL42DivmJiIiIiIiISFC52xEb62d4Me6qk8aYp9zVL7HW3uwedj9wr7W2EKcq42mVLGKwe74cYET5kdbaxcBin+8Z/sZZa+fjtH1Wfv45Pp//x4m2yZ50v8pPP8Pn8w5P/sqPk/CgkmUiIiIiIiIiEjaMMbHuEme9yg3/D/ATVPBHGph2MBEREREREREJG9bafCDdz/CfhSA70gypZJmIiIiIiIiIBJUx5ifGGOvu1bL8uLbGmF3GmMcDsJx4Y8wiY0xu+fSMMZcaY740xmxwV+/0DJ9hjDlgjPnC/ZpZSdp+5y83zQw/y11sjBle33WThqNgmYiIiIiIiIgE2zRgmfu9vLuBJQFaTgFOo/u3+w40xsQDDwJnW2uTga7GmLN9JnnFWpvufj1TPtEazC+NmIJlIiIiIiIiIhI0xpg4nEb8rwEuKzduGNAFWBiIZVlrj7t7rCwoN6oPsMVae8D9/QNgSi2Sru/8GGMu8Cm99rUxZntt5peGozbLRERERERERCSYLgTes9ZuNsYcMsYMs9auNsZEAA8BPwN+VNnMxpiH8dOTJvCyp/fMGvgGGGCMSQR24XQcEO0zfooxZjSwGbjNWvtdLef3dakx5kyf7/0ArLVvAm+61+m/wMc1zLs0MAXLRERERERERCSYpgGPuD+/7P6+GvgF8I61dpcxptKZrbW31TcD1trDxpgbgFeAUuAToK979ALgJWttoTHm58C/gXG1mL+8V6y1N3m+GGMW+440xtwB5Ftrn6jveklgKFgmIiIiIiIiIkFhjOmIE3hKMcZYIBKwxphfA6cBZxljfgHEAdHGmFxr7exyaQSiZBnW2gU4gTGMMdcBJe7hh3wmewZ4oDbz14Yx5kfAxcDo2s4rDUfBMhEREREREREJlqnAPGvtzz0DjDEfA2dZa6f7DJsBDC8fKIPAlCxzL6OztXa/MaYDTqm2S9zDu1lr97gnuwDYWJv5a7H8XsATwLnW2vy6rocEnoJlIiIiIiIiIhIs04D7yw17zT08UD1glmGM2QG0xSmp9hNgvLU2G3jEGJPmnuyP1trN7s+/NMZcALiAH4AZPml9Ya1Nd3+tbP6amgHEA2+4q53uttaeV8s0pAEoWCYiIiIiIiIiQWGtrVB90lr7qMBADiQAACAASURBVJ9h/wL+FaBlJlYyfFolw+8E7qxkXLrPZ7/zl5v+X5RbD2tthvvjKiCrujQk+CJCnQEREREREREREZFwoWCZiIiIiIiIiIiIm4JlIiIiIiIiIiIibgqWiYiIiIiIiEjYMcb8zhizwRjzpTHmC2PMqGqmX2yMGV7HZSUaY9bXLacV0sowxrwViLQkNNTAv4iIiIiIiEiYKCmByMhQ5yL0jDGnAecDQ621hcaYTkB0iLMlzYRKlomIiIiIiIiEgSuvhKgo570qL7wA/fo5701YN+CgtbYQwFp70Fq7G8AYc5cxZqUxZr0x5mljjPGZ72JjzApjzGZjzFnlEzXGxBljPjTGrDHGfGWMudBndKQx5h/u0mwLjTGx7nn6GmPeM8asNsYsNcYMdA//lzHmUWPMJ8aYbcaYqX6WN8IYs9YY0zeA20YamIJlIiIiIiIiIiFWUgLPP+98fv5553tlMjNh61bnvQlbCJzsDnr9zRgzxmfc49baEdbawUAsTgk0jyhr7UjgVsDfFioALrLWDgXGAg/5BNv6A09Ya5OBHGCKe/jTwM3W2mHA7cDffNLrBpzpzsOffRdkjDkdeAq40Fq7tZbrLyGkYJmIiIiIiIhIiEVGwhVXOJ+vuKLqqphZWdC3r/PeVFlrc4FhwHXAAeAVY8wM9+ixxpjPjTFfAeOAZJ9ZX3e/rwYS/SRtgHuNMV8CHwA9gC7ucduttV/4zm+MiQNOB141xnwB/B0nQObxhrW21Fqb7ZMOQBJOkG2StXZnrVZeQk5tlomIiIiIiIiEgX//G559tvo2y6ZPhylTICYGNmwAeD0xCNkLOmttCbAYWOwOjF1pjHkZp2TXcGvtd8aYOUCMz2yF7vcS/Mc8pgMnAcOstcXGmB0+8xf6TFeCU2otAsix1qZXkk3feXyrg+5xpzsE2F3FakoYUskyERERERERkTBw220QG+u8V2XqVGe6qVPhllsAfhIfjPwFkzFmgDGmv8+gdOBbTgS2DrpLfVVoJ6wa7YD97kDZWKBXVRNba48C240xF7vzZYwxaTVYTg4wEbjPGJNRyzxKiClYJuLWas82Tlq9kFZ7tlU7bVER7N/nvDdHLQ/tocOGT2j5w95QZ0VEmqk7/tWK2Cnx3PGvVqHOioiISECUlMAjj0BxsfNeWZtleXnw2mvO59deg91Ok/fBymYwtQHmGWOyjTE7gUHAHGttDvAPYD3wP2BlLdN9ARjuLql2BbCpBvNMB64xxqwDNgAXVjM9ANbafThtmT1hjBlVy3xKCKkapo/SUti/Hzp3hgiFEZuNqNwcht89lY7Zyylt0ZKI4kJ+GHQGq/7wf7ji2peZtqQE5j0Hb7+J839kYeIFcPlVjb975+93wSsvwtYt0Lc/XPpT6JFQdprIguOkP3AFXVa8Q2l0SyKKCtk38jy+uON5SmJahybjItIsPbYghoJiw2MLYnhgRl5gEt2z3Xl16+28qvLDXti3E7r2gg5dqp5WRESkBnbtAmPAWud91y7o5afM09GjZb+ffz5s3Jhf6tQYbDqstauAU8HpdRK4xl0tE2vt74Hf+5knw+fzQfy0WeYeflolix3sM91ffD5vByb4SWtGue9x7vfFONVHcbdXlow0KgoJuZWWwpgxcPLJzntpaahzJMEy/O6pdFy/lMiiAlocP0JkUQEd1y9l+D0VS/N6AmWFhVBY4Ly//aYzPFzt2Q0fvu+8V+b7XTDrJliyCL7b6bzPuskZ7iv9gSvosvIdIovd26q4gC4r3yH9gSsqTTv3GGzb6ryHgrWQd9x5r84bn3XiF0/2543POjV8xgKgJuskzVtuLvxpDlx5mfOemxvqHFUu+5t4zprdjk7TO3LW7HYsy67keV5hPjxwLTe7HiaGfG52PQwPXOsMr0RuPny2KYrcyibJPQK/nww3j3bSunm08z33SMVpC47DfTPg2uGQNQ1mDnO+Fxyv7So3G3v3wEfvO+8iIlK5hAQYOhSio533hAT/03XuXPb7Bx8AxDbZe3tjzGfAcFTYR4KoyR5QtbV/P3z2Gbhczvv+/aHOkQRDqz3b6Jj9CZGusvUpI11FdNywvEyVzKKiE4EyX56AWThWydyzG275BTz1uPNeWcDslRed9fAEiUtLne//ffHENC0P7aHLineILCooM29kUQFdVrzjt0rmJ0thxnS483bn/ZOlVee3uAi+3eG8B4K1cPddMG2K815VcOmNzzox/aFBPPluAtMfGhT2AbNrHxtA5E8yuPaxAaHOSsBV1U26x6fL4W+POu/VsdaprtCUgouHDzvH1WUXOe+HD/uf7pG/wOqVzvjVK53voeBywa7vnHd/li2Dux47i2XZLTh0LIJl2S0Yf1clAbNHfgkr3uMBezv5tOIBezuseM8Z7kduPiTO7MhZd7YjcWZH/wGzP18F2Z9DUQHkHXXesz93hpf38I2w6gMoLnSmLS50vj98o9/lW+uUgpt0dxseWxAT9vthSYnzX1HdcXj0CPxhNvx0qvN+1E9cEZwA2S9vcP6HfnlDYANmpaXww6HqH3AWF0ewfVt4/k9LRdbCkSOhOWfn7I/kt2O7c1n7RH47tjs5+6uuNlBaCof3Ruohe4hY6zwECvfzam1ERjr3ops3O++V1VyJiIAbbjjxfvfdABsCVMw6/FhrT7XWDrbWFlY/tUhgKFjm1rkznHoqREU57+Wj9dI0td79DaUtov2OK23Rkta7v/F+zzlM5U0BGDiSE/j81Vf2BucCorAAsM53f7ZuqXizUVoK32w58b3V3u2URrf0O39pdEta7d1eZljuMfjrg1BUCPl5zvvDD1Zewqy4CK6cBjf/3HkPRMAsP88JEFjrvBcUVP4wauHaDuQVOlckeYWRLFzbof4ZaCDWwj8/6Ia1xv0e6hwFzkP3w0XnOe+V+XQ5/PV+eO9t572qgJk3YDq5+oBpY/LAn2BTthME3JTtfPdn86YTASqXy/kebC4X3Hoj3PoL+P/snXd4VMX6xz+zPT0klDRC70UQBURURESaild/elWuigULClYQERQRUGxXkKKAiiKoWOgoXaWFXhMg1PQQEkjfPr8/ZkN2s7sBIXBR832efWZndvacOWf3TPnO+37fFwb7JsxGjACrzfP5LLUKRnxVwb37TA4kLFdkljusZlV+Jsfr2JMWB5BbKLA7BLmFgkmLK7ioZB6DA1uhwqYJdqsqz3Tr2/Kyyokyd5QRZqezvc7/yRITI74KYslWIyO+CmLKUpNXnSsFDge8+Bw8O0illRFm702AfXtUn75vj8r7QuI+QIK5bBzaVzVtdToVUfzYf+C1l/0TZmYzjBt7E8OehyFPVRNmVzqkhD59ICJCpZX12Z8+F8ld+oZ8+lzVaZpPvK8OSetNlORrSVpvYuJ9/l2snU547aYYHq1bj9duiqkmzC4zpIQxr8OD96j0XOP7p5+o+cWnn1ye9l0MtFrlenkuiZepU1U/PXUqNGkCsKfaxLka1ahCVJNlLggBwcGqwwkOVvlq/P1RHNMYTcVFjwsam4XimMZn8+E1AH8DsYSwcD+f/Q/RspX6L5tMgFB5X2jUxFunT6OBxm6xZ0qiGqCx+rlXVgslUZ76PidPeg/yGq1/q82MjHIXsaKiMqHSi0NAIHS4Vt2DDteCyeTHrAXo2f40gUa1Mgw0OujZ3o+pzhUAIeCxHpkIIV3p/7pFVQOHA35bo97/tsb/Qn3n9nILT4sFdm33f8zSUk/CtNS/p95fCseOlN8fh0PlfaFpc7UJBCpt2vzytM8dWZmQlaFIiswM35ZFSUm+v5uUWqETyU4BvW/SHr0RTqZ6FSdnaCjf6RCuvBsyj4HO96YJOoMnWVbp+Q3q8wpYsUtPsUWdv9gi+HWn3vf3rwCczIa0FCUsnZai8v5w5LDnf/DIYd/1WrYG3Meh1r7r/VmcOa3IX4cDDh5wbWj5wKFDcOaMCYsFck95ywtU48pCQQGsWKGIqBUrwFzi/3n5ZXoYDrvgl+lhVXb+ozsNOOzqeXXYBUd3+ukbgPyTWg5uNuGwCw5uNpF/Diu0alQtiovVfEBKlRafgyb6ZZnqL35Zdnnad7nx/vsA99e63OcVQvQXQkghxAXPMIQQCUKIXUKIFCFEjuv9LiFE/apr6cVBCHGzEGKnEMIuhOjvVt5BCLFZCLFPCLFHCOGl4yOEmCqE8GlWIYR4Wwjx/KVsezUuHNVkmQuFhWpQllKlhf8jfaVqXF6URDckr+X1OCoslBw6A3mtulIS3fBsmcGgxPyNFdZJRqMqN/ifT/3PEB0DH0+FJ59VaXSM73r3PaCuo4ww02hU/t4HyutYIqPJ7tgHh8HTKsJhMJHdsQ+WiCiP8tq1vckOp8O/1WZMjCKqQaUxftr6ZyAEjHoL5v2o0spIpf6dT/HNS4k83TuNb15KpH/nUxffgEuIGc8dxLFgHTOeO/i/bkqVQauFm7qr9zd197+j2r5D+XNoNEK7Dv6PGRBQTphe01Hl/w5o0Kj8/mi1Ku8LQ19W11+jhkqHvnz52liGqGjV9xgMKo2K9q7TooXv77aoW6ETqRPvbdVVBpsFatf1Ku57rY0Ag9rpCDBI+l5r86wQ3cDbqqwMdivElI8DlZ/fqj6vgJ7tbAQZ1fmDjJLb2tu86lwpqF0H4uJBr1dp7UriFjRq7PYf1Km8L0RFw6Rp8NSzKvX1+18IwmtAs+aqDc2auza0fKBpUwgPN2M0QmRN78A11biyEBoKPXuqeUjPnmAK9P+89HoqH61O0uspPz7AF4CG7a1odep51eokDdv7N0UMq+2gWWczWp2kWWczYbXPQ0OgGlWGoCA1HxBCpUHniDPVq4/qL3r1uTztu9x4+WWAed7m1Zce9wPrXekFQUrZSUrZDhgNfCelbOd6Ha+iNlYFjqOiZn5fobwIeFBK2RroA3wihAgp+9AV/TKEavwlUS2Q50JICNx2G/z6K/TqpfLVuLJRFiXmfOBw+F94bxv1A9e8fQ8R+92iYbbqyrbX53vV/Y9LvsZXNMwrFTabcoG0VbI+i41TZNL4McqqKzAQXnvDe1Gxa9hXPqJh9mXXK7O9jhkcAi++olwvNVpFlL0wTJX7gt4As+cpi7KYGJWvCggBgecZqLN/51NXPEnmjr+LRZk7XhoOz79cuevBddfDi8OVRVm7DirvD2WEaWmpIsr+Lvds2EjlennsiCLKhnvFglIIDoaRb17WpnlBp4OPpiiLsqjocks3d0yYALd0t3u4YgYYJBMeqmAqEF4LOvXGvukXdI5yV0y71oSuUy/1eQXcc70VKGTFTj0929tceTdEN4Dm1yqNMnfSTGdQ5VH1y8siouCaHt6umHqjKvcRFfPZfmaEgF936rmtvY3Bfc1eda4UaLXw4WRlUVa7TuXP4SsjlOvlkcOKKHtlhP+6UdFVR5KVQaOB8e8ri7LwGv6jmJtMMHLUb6DrS2zclbmxVY1yCAHLlikLs9BQmL7Ef90nJ+fy5OTcKj3/sO+yeff/6nB0p4GG7a0M+86/eaVGA+N/yyD/pJaw2g6//8FqXBoIAW+8rSzKgoLOPb4/+ax6/SWQlgZHjkCjRv4V/iugaVOAB1IugrP60xBCBANdgZuBxcAbrvJvga+llEtd+S+BJVLKHy7gHL1RJJoRSAYelVIWCyHSgK+AvoAVeBJ4B2gEvCOlnCGE6AGMBMxAQ2AV8KyUUgohBgDDUSu6RVLK1yprhysSJkIIZ4Xyg27v04QQuUBNoFAIoQPeBR4Ebq/k8O1dAQwigQlSys/9tR3QAqeAz4HbgDTX/ZkI1HVd39/UfvLyo5osc0EIWLpUWZSFhPx9FlR/V0z6EFb9Cj1ugyEvVl73o4mwdjXcfIsiayrCHhzO5ndWYUo/CsmHoUljzLENvSuiFg6PPA69+sLOHdD+6qpfAFQlUk7AS0NAOkFo4INJEO8j/DTArE+h2CULWlwCsz6DjyroOjhMQWwf/SPGvCwCs45REtXAy6LMHV1ugNZt4ehRNd6HhFbe3tRUpX3jcEBDP5Yy1VCwOwQpOUbia1nQaa9sIS6nUwnM16hkQeuOc2l0gCLIKiPJ3CGEIoD/CrDby4kKX6RSGWrUUHWS9qs0vBI3cIsZUlIgPh6M/yO5LJ0OatX2f01du8KD/RKZvaANTgkaAW89WEzXlt6u07PbfErgxiG052eKMdIUG0vknZS2mYS/uLwOJzilwOFPU+jVL5DvDMSxfytmacAkrGhbXot41Ueo4xemwEeDcW5dhVUYMUgLmmtuhRd8C+EIoQizZ/tduSSZO7Ra/1bI7ggNU0RsynGIr+9ys/QDm8sFN7oKN0JA9ScR5yFXpdc7iWtw7nrVuDIgBIRVnWclAIkbTOxbZ6J1NzMtr/f/LKYl6Tm6y4jDAUd3GUlL0hNeicWYRgM1oqotys4Hp/OUy3Sz5lAjwn+9gnxIPgRNmqp+pjKUje9/m3VbURHcf78KbWk0Kq2JHj1g3rxy9wt3mM2Qmcl78+ZR6i+CzqXFncAvUspDQohcIUQHKeV24DvgXmCpEMIA3AI8/WcPLoSoDbwK3CKlLBFCjASGAuNdVY5JKa8SQkwGZqGIu2BgNzDDVacT0BJIBVYCdwohtgFvo6Jr5gOrhBD9pJRLhBBfAB9LKXddQHu7uN4ed6VDgR+BSkQNAGgDdAFCgR1CiKX+2g4sAcKA5VLKF4UQi4E3Uff4KuBToJosqyJUk2VuEELtYlXjyoaUiigDlT73gv9B0uFQRBmodMhLvhfiTic8/2FDDiY1pFkLGP+e/0V9bq4Sq5ZOmK2BKTMgsuq0ZasU+/eqdlqtajd9/17/ZFlKiqoLKk054f+4loioSkmyMjidMGGsEiBv3hLGTfR/X48egeEvlFsBvvvR5SXMThfpuH1sGzYdCOO65vksHrWXGsH+Jx75xVpST5moW9NMWFDVTJSHf9mQyUvieK5fGu8+ctRvPbtD0Onlq9mfEkyr+CIS3t9xxRJmTieMeEnpBjVtBhPePz/C7J8Iux1efFZpKsXGwYef+CeXMjNg7Sr1fu0q+PeDvgkOi1mJtefnq8XnJ59VTph9ORMWL4Tb71QbA1WFCW+pQAzXdYURo7w/LyqCeUtb4pSqM3dKeHNeEE/3NhNUob0jvo0g09kF+AEoRMdV2J1dqDPPyUO9vf9c3/1h4NGPgyixapn3m9I/uu8GT+uyTGspL4b1ZaGzgFK5Fw3BRKWdotXEx4mJqENMRJTH62T3CQzdNoU4RzrpugZ8e3cAHSvRRPw7wmyGwU9AYYHaCJkywzdhZrOqaMw5JxVh+vHUqiXM/m64VM/gPxmJG0yM7hmNzSzQmyRvrcj0SZjZrDD2jmhKC8r7kbF3RDMn51j1f/YicTpP9Rdlc7wpM3wTZgX58PTj6rfQG2DazMoJs/++D2tWQvdblVX6Xx733w8rVyqSzOz6j65cqcoXL/asu2YN9O+PdDiYXFpK6v8mgtH9wMeu99+68tuB5cDHQggj0Av4XUp5IaqxXVBk0UahFnsGlMtnGRa50r2ATkpZDBQLIZwuqzeAzWXunC6Lt64o66w1UspTrvK5wI0o67cL8hcSQsQCX6JcMqUQIg7oD3TDf4i4MiyQUpoBsxDid+BalEWZr7YvAUqllCvdrj1fSmkXQuwF6l9I+6vhG9VLlmr85VBRB6uyaF3nWzf/DBxMcgkFJ1Ue2fJgkiKTSktVetCPMPWVgFZtlEWZwaDSVm38142PV3VApf5ItT+D/HxFlDkcKs2vRFakzKLMblcEy749F3/+88XpIh1tn7uWDUlhOKVgQ1IYbZ+7ltNFvpmKRQmRxDxyPV2GXU3MI9ezKKFq2NLJS+IotWqZvKRyk/uUHCP7U4Kx2DTsTwkmJceP4PgVgNOnFVHmsMOhgypfDd84ma2IMptNpZWJqyfuV+7NoBYe/iLdpqSo585sVmmKt/68BxYvVIuUxQsv7Bp8wWIpj1i6aX15cAZ3pKcDwnOiL5CknfLc3TBbbGSeHoLarFUdup3dwFCyz9Tljrf/w08bl2Apc5EsymflzN8psboi3Vq1rJz5GxTlc7roDLNWzKHHqLuJe/Qqvv3jVUrlbsCJkwIy8pJYuWsds9d8x4QfPua5z0Zw9zsDuW5Yb+4c15bjtvqsdz7OCfse1u29ckX7LxVSjiuizGxWacpx3/UyMxRRZrGoNLMKgrf8nXEpnsF/OvatM2EzC6RTYDML9q3zvWNwJluLowLn7bSr8mpcHA66gnGUlpYH5fCFA0kqwq7ZrNIDlcyxnU5FlIFK//LRSNPSlEVZxUHSYlHlaW7RScxm6N8fCgs5XFJyligLODcpU2UQQkQA3YGZQojjwCvAvUII4SJ+1qHcBO9DWZpd0GlQlmtlGmYtpZSD3D4vu1lOt/dl+bJJfEUWscpZRSFEGLAUGC6l3OoqvhpoAhwBDgOhQgh/QsP+2uiv3H3Hz/3a3a+7GlWAarKsGn856HTlFhTRsZW7KhkMyhUQVOpPqyQsHJq1cAkFt6g8smWzFopMCghQaTM/wtRXAuLrwcSP4N8DVFoZAdb3DtC55oM6LfStzLP+PBEerizKtFqVVuYq1rqtqqfXK8uj1m0v/vzni2nLYjhVqMc9Yl5uoZ7py71NdfKLtdz/fitKLFoKS3WUWFQ+v/jiJ9PP9UsjwODguX6Vh2uLr2WhVXwRRr2TVvFFxNfyIzh+BaBGDWVRptWptIYfEe5qKHfK2Dj1DMTGVS6u3rKV6s9MJrX77i/SbXy8sigzmVS/Fu+tP++B2+9Ux7v9zgu/joowGpVFGai0YpAUgNhYQHrO8SWCuJrlOxxnivK5Y9wDwDQ/Z7KzeMsv3P3OQGIeacPg6cPYMvoeepz+hkCU9lkAOQSffpf+T3Ui6qFWPP7JC6ze/TvOC15lJeF03o5T/niB3//rIr6+sigzmVQaX993vegYZVFmNKr0fFw8/8m4FM/gPx2tu5nRmyRCI9GbJK27+XbDDK/jQFthTqnRqXJ/OLDJyOrZIRzYdOVuWl0JKAvGERBQHpTDF0JDlQcJqLQyjx+NRlmUgUr/8lbrR474HiBBlR9xC3udmYl06QqscasWD5dz5+YelC5ZPSllfSllXeAY4Fp58R0w0JX/5QLPsRG4SQjREEAIESSEaPInj9FZCBEvhNCiXEPXAwnAzUKISJeu2L+B3y6kgS7ruYXATCnlz2XlUspFUsooKWV9oDFQIKVs5ucw/YUQRiFELdT92lZJ26txGVHNPFbjL4lPv1AWSJURZaAsxIoKlcB7UaHK+yPCOnZWA+01HSs/ZkQE3HMvbNoI13VR+SsViftg7OsO7Db4cR6MGqf1uajeshmmTykPAmCzqXxomLovFXEkGfbtVYSWvwhooNxjx01UFi3h4ZVrStSJgqbN1bEbNVH5y4XNB8MwWz3JrlKrls0HvWdpqadMaDWeGz1ajST1lImwoHPELT8Hhv0rhVuuOk2HRpWH49UIyZ2dTmHQSXp3yEUjrkwXTFDP1NvvQnoqxNb9G0xmLwBSnl+AAZ1OuV5mZ6n/f2X9W1mk28T9iijzR0AYTTBqrLLUbN323Jpljzx+aVy/RoxSm+P+1gHBwfB/vZP4emHrs2Uj/6/krAvm0azj9Bv7IEmph9y+9W/gQ5QXxmxg09lP8gpPM3XZF0wFmrOLvuxlB8Gks52PsUOB5/mFEAQYbqTEcj9wN+CgYVQqkwclk5GXRUZetistf2WfzsEpnYCNkXMGEhMxiYe63+fz+k4VCLYm67i2iZ2aoZf/eT2QCBnpEBOrNi4qw9Ej5XUrc4U3mZQr1bk0y/QG9V+9FJpllwLO7ByKkzMJahKNpo53wIhLjUv1DP5VICUsXw6HD0PjxuXEycWg5fVm3lqReU7NMr0B/vN2LjNfqInToax3/zMu1+9/9rMhkaycFYrQKE+DWx8rYNCkqg048HdBeA149gXYvROuau87em1JMcyb41k2bw4MH+k/UNPzLyvt4r/F3KJRI9+m16DKG7l1yNHROKRAB6x2q5YClzPc8v0o8Xp3/Ogq/x1YAXwNLJRSWgGEEDEoUum8YpJKKbOFEI8B37m0zwBeQwn9ny+2ANNRwv+rUGL+UggxCmX9JoDFbsEIfGqWCSGuA+YDNYBeQoi3pJRtXdfbBQgXQpT13v+RUu79E23chyLrIoE3XNfdxlfbUS6k1bhMqCbLqvGXQ04OvDcOjh+H+vXhlZFQy8989r0JSqfL4VDpexPUwr0iFv4E875WY1HyQbWgvese73oOh4NPpyxlxfIvcDpLOH70LYKCO9G7n//22u2VR4G7VBB5uYx/xUixU7nsW+ww/uVC5s614qzh6TY4e4YDq8Wz77VaVHnHzp7lBxLhtVeUYLZWo/Td/C2+LBaYNgn27XXSuq2Gp5/zv1j+8F21oJdSpR++q6IYXg50bpbPqt01KHUjzAIMDjo3K/CqW7emGYfTk/FwOAV1a16ceHdugY7mz3TCYtNg1Ds5MDWByFDfGkgTfqjH+Pn1sNi07DwajE4ree3/zuFfV4Uo0w3cuV2Fa+9xm38S6EASvDGiXDdvzARoXok1ZkEBHD4EjZv631EuKVZBPsqEgoe86H8ibbMpDaC9e6BNW7UI1Vey72qzuS3qq2B/9shhGDW8PFrX2Hf9E8z79sC4N8vrvj6mctfppP2wfYua5fkjyxYtgC9ncDZ678An4Pb+/o957KjqK1u1gQa+45ychc0G2ZlQJ/r87pW/Z78MlrN9kGpsiUX9qdYnbqb/uIfJLcxzq/0mKviTQAXAehI4xIh7PuWb374nJafcOvMAcADffqrXNG7H/Tf+i/tu6E/9x1vj7sGSklObPtfU99vetFMZ9Bh1NwfTD+N0Onn4v89SbC7h6T6ecienCgTNn66B1Q4GHRyYdvqyEmYzpsKKX9QzKiX07AVPXikWTAAAIABJREFUPOO77pwv1XhYFsH4zn/BgEd81809BePfghPHoV59eG00RNb0rldUCB+8C4eToXETFfHWX1RkUC7ICRuhUxfviMwXgtxcWLK4CRmZ0KKVsqL21bdoLKXkv/4Rg/YMQdAQCXzWdjxhb7+A0xjgVd9igZnTy5+Xx5/y/x+XUv0GZRF8e/by32dmZaqNrpatzx1ASMpyzbi/g8C5lEqaackSJ3abRKcXNL+6C6Nvd3hdX06Kjjd6RZOZrCe6iY0xv2RSK973mCklHNluIHmrkYAQJy26mH3er8T1Jr4cHonT4dJOdMCXwyJp2M5Ky66eY/yBTUZWzgrFUlLO0qz8PJQb7y+i+XXehEdhnoYjO4w0utpCSMRf3V/wz0FK+OS/8MdaJzidrF2pYcfNGp59wbPexAneEhz79qjyN9/2fezzDRoA6lktmwtUNraCOua+3dD6Kv9WcFWOuDjo0QPb8pXoHeX/IZvWiL5HD8+omCYT1u8XUnz7naym6Gxx6SVwMfQHKeXNPsomub23AREVPs8A/BJlUsovUbpf7mUrUeL2FevGub2f6eszl85ZvpTSa+YjpZwDzPFR7lOzTEq5CfAalXy12UcdO+DTXENK6SeeOeC77R7Hcv9+ZeepxoXh78DDV+NvguOHA9m6qT5HDvuvk5sLTw1UC3BzqUqfGqjKfeFwcrlOmcOh8r6wc3v5Zo7FovLuOH06m+/njWfQIw35ZemdOJ0LgBXYbF1Y+PPr2GxWr2OCIsqee7L8VVWBavJyYfNGyM/3v/qs/8Zj2Jyej7jNqaXeG4951T2Z7tvFoGK51aoE++12tYtqt6u81cflFxWdYejTH7BmVWNOZoexZuUzjB7hfyNo1w5P0/tdO/xWrXI83SeDyBAbAQZ1vQEGB5EhNp7q7S2uExbkYN7L+wk0OggJsBNoVPmLFfnffiQEs1VDYakOs1XD9iO+V5NSwpSlsVhsiliw2LR8UonGmZQw89co7n23FTN/jaqSXfrlS2DKx7D+d5UuX+K7nsMBI18p1ygpLVV5f9qBBQXwzGPw7tsqLfDmKgFFlG3eqBbrmzeqvD98ORN+XQbHj6r0y5n+69psMPRpeGGwSm0XuT8rpQpaUVSk3hcVqbyv3+BkNowcpogyUOlrryiNJ1+YNkkJG6//XaXTJnnXyUiHWdPVc2q3qXTmdFXuC8eOwrDn4fPPVHrMf4wJbDZ1n54frNKLvVcAbZrlEGAAkAQY4OY2Nr5a8x23vH73WaLMqDcSFjgHFZ3ec7UbFd6Y8Q+N4NiM7awdt4BHuvTDR+wwmgFjtDoOjf2RrR+u5MX+TxMbGU3zOMdZK02NkDSPq/yZjqsZw+8TFtG2frm57jPTh/HeT55RMbcm67DaobBUg9Wu8pcLBxIVSVOmFW2xqPyBRO+6R48oosxigdISlS78SZX7wvi3lCWw1aLS8X42Nz54V1mT5J9R6YcT/bc3PQ2eeRy+nKXS9Mo90s+J3Fxo3RqWL2vKrh3w7Rw1FvvqW5q+9xSD9gyhmGCKCKaYYAbtGULT93wHcJs5XekkpaWqdOZ0/+1Y8QvMnAYb/lDpCj8OSVmZMORpmP6JSrMy/R9TSnh9ODz0b5X+b7S9qxbLF1pZ8qOZ4mINFquW4mINSRtqs2OhJxtfmKdhcMu6pCXpcdgFaUl6BresS2Ge97JGShjTJ4oZQ2uSsDCIGUNrMqav77HwqxERWEs9j2Et1fDVCG8WJv2QwYtwE67yiijM0/BEw3jG9InmiYbxPtv5d8aBzYVs+LUUs0WD2abDbNGwfkUpSZvKrehzTsLeXd5jic2myn2NhWVBAz6aqNLTed51yrB/L7w5Um2MvzlS5f3h4AF4fRjMma1Sf/pqlwTz5qHtdSs2nYlCbRg2rQltr1tVNMwKCOzXnb2rV1N22bX8WQ5UoxrVuGD8I3rrXbvWMHx45XWsVnjpJejQQaW+Fv/VuHRIS6nDmy+2YN2vzXj1RfwSZgt/BJvNiXJ9XwrkYrOpcp84T0lHUeFJ0GhBSsm+vb/z3oT7eWxAXeZ8OZKckxWtd5xkpI3j5SEdOXbUW5E+cZ+a7DscKk3c56edfwJ5uTB4EHz0Hrw1phtZWd51glMO0Oj4Ggx4/pGNWGh8bDXBKeUjf2DGERpK36uhhvIIgRnln/2xDoqLPOsUFanyMqSlHGDa5GcY+EAsGekvo3Qti4BpJO1vxpjX72Tf3t+RFWaqFYnEyxkBu0awnT2Tt3J7xxziIs3c3jGHPZO3+o2GeUenXDa+u50R95xg47vbuaPTxbtdxNc0U2zWApJis5Z4P5Zqv+8P51SB52L7VIGO3/b53kiatSKKoTObMn9DbYbObMqsFRfv3/rj9+VCuk6nyvvC9q2+J77bt/muf/gQlJQoUq2kROV9Yfcuz/PvriS4997d5f251ary/pCaovRzbTaVpl6ksV5iYi2vscRqhR0+rv+H77wXu1LC/G+962Zlwq/LPct+Xe69sF670vcx13rtzyrs3qkIErtdpbt3+q4HyqIsK1NdT1amyl8srmqWw5JRBbx+bymLRp5hzd4xPPzfZ7Ha1U2sHVaLteN+ZuLAOwg0el5YoFHy1oOKadRoNHRrcz1fvPoFWa278LVGyyPAcGAHkKTVM7p1F5pcdaPHMRaNLKBlvAOdVtIy3sGikX7YWjfUDldt6tj06rNlw74cw+hv3jnbx13bxI5BByEBTox6la8KWK1aDieriKf+4I8Y9VWeke49FgqN/2OcOO75HJ447rve4UPl/bndrqy3/WH1Cs9Nk9Ur/Nc9H0yZooKKSKk5e8zCAlhWIaic4UwOzk3bED4mDc5NWzGcyfE69t7dntIFlfUtuypsyO3a7rte4j51L81mlVY2ZygsUAt+p1Olhef+u1Y5EhLg3XdVei7k58Nvv1Ue6Ofw299it3v+Bg6nQPP2rx5l4/tHYS4WuOuMmosF4/t7j2+7VgWwZ3WAq6567V5pZPNCGydPpHNsdxL7ft9CwqJVHE/4GpgEvA18AagoKxnbvYnz2KZWrBZPtsxqEcQ29V5ALJsWSkm+BodNUJKvYdm0SoS4LhFGjIDAQJVWFaSEzZvieP8dWO1jvCmDfsb08nDrZXA60M/87Gw2M8O/QL/T6TswyMEDYLWpOYPVVjmptXePGq+kdM0FKgkitW+36qvKgk7tq+TZrnIEB8OixdzXPpk7Wch9VyfDosWqvAKcTnjo8XIJq6uu6g6suIxx5K98SClX+bIq+yvgr9z2vxP+EW6YDkco770HffrATTf5rjNiBEydqiYoiYnKnP399y9vO//XECk5aA9n4Ggcg4y/vLsTR5PjcToEDocGIdTEz5er0t7dycDjKFf4MrRg3errqVf/elq0up7omMZlZrfnTcB4GoYVkJk+h+eenErKCW/XHYOxJlbLQJQbudKCPHZ0Ny89dw0PPPQWd93zMlqXQuzxY6AYOuVWdPyYoG27c9yMc+DQQTVAlpaAySTYvNm7TmDGYXR6DUutfenHEiwYMWJhCf3Q6rQEZhymKF7ZlQemJ/OmYRaPWD+gFAHUAkwEUsw44xiCMgZSEtPo7LkrLv5tVjh00El4jV9Z9PPH7NzuOan1hGT71kVs37qIxk2v4c5/vcj1N9yDTqf3uai/nFi+LYIlCZGU2PQsSYhkecdcHujm26znWJaJrsPbIZ2S8d/XZc/k7TSIujg3zCNZgQSZHBSZdQSZ7BzJCqR5Xe8o28kZAei0Epvb3F2nlSRnBHBTa+8writ2RVLicm8rsWhZsSuSx2/zwbD+CVRcnPtbrPuLKpvvJyJm46aei+rGTX3XM5mguEiiomqbMJn8+x/ViSp7Dsvz/iBcroqg0ot1azp92reI06lT3mX+iEFf5ZkZSlvH/b7rDarc3W3r9Bkbiqw+AGQCNYFYMrNjsFmj0Rs8LVNrVnChq5h3R51oda4yF/M653AXO190v8pG5+b5PPzRs/ywsZzRaF2vBYtfn0P9OvFc19yCAEZ/E0R2vqBOmCLKnrjN2/Up6LWvGPDuowxI2oLUGRB2K7ToCMM/96rbIMrJ3smVhEL2g4iQGqx660fuGDeAdXtV2M+x331AkbmYDx59i5qhyvWyKjXLSkpg7JibKC5WARw++cy3Hl1MbBlJk4z6L8RhsdQnJtZ74RUTi1ckQIddlftCRIQnQRvhJyhwdIwnQRLt53jg7Z5Zmbvm+SAhwVsCyG73jmIdkH2cKH0e0l7xoRdE6XPJPnkCa7jnvCgm1pNI9HefANpcBRvXq3FNCJX3hdAwZakHKg0N83/MkFC1fi4oUPcp5DLzLwkJ0L17uYv9mjXQqZPvuvn50KKF2lwLDoakJPW/9cCpUzTe8xM67vIIaafDTvs9SzCcaoe1ZgRpB/UkbzPiHfRPkLzNSPohPbFNy3dpkrfm4JQ/A4tRfeEZHPYCJtx1Ps+hADoSam7LiW29ie/Q5uz8svl1FnRGidXtP6MzSp8umKfSdLgTeyp/efHxx4pU+vhjmDChao751Vfw7bw2WK3KdRrglls96wSlJ9M2exWSW1C/gQTq4qAmYZk/IY70QDa6iqBg/1bnDgcE+TATttk8n5fKLJzbtIVvRfkz2NbPMwjK9bJMNkWnU/nLiZMnYfHOOOyOOHQ7VT7Kx9wlPR2OHSuX989Mag/cesld8IQQDmAvikdIAh6WUpb8ie/fgNLhsgHXSSm9J7uXGEKIdcDLUsptFcqfBZ5HaYTVklKecpU3RzHoVwMjpZTvu8prAT+jXB9fl1IucJUvBJ52uZ1WPHctYAlgAIZIKf/4E+3uDxySUvqwD6/GpcA/giwD1Tn++qt/smz5ckWUgUqXLfsHkWUFJQT9eyK6tfuQRh3CYsd+c2uKvx0GoYFe1UtLNfwwN5btCTXo0Ok09zyQTkDAxekvNGySgkYr0UoHWq3WKxKiw2Fn4U8fcezoaNQC2R1JnDmTxMcfKP+qsPDatGh1Pa0bX00D0Yhk7sBJEBostNLuoSA1lCKNFrO5CHNpEaWlRdSIKEKrK8JhTwDmkJlRwXwKaN6yC7ffOpB2Sw7yxJE3KcGEnvdBjMQm7djtNr76fAQJmxby/MuzqRdem6d/e4pZfINEg8DJ078/SPat07EHX/hY1qy5EjINCASQdO4MP1cIMV8S0xhht9KSjQwlkl0YsWPmdaCwVJAzbSglk5+m1HUPHA478IPr2wI9cbTCwgZbHpqjV1M7OJy6dVvQpGkoK3XupGMhGs1sNm2YzPIl3qt6QSskzwP1gP8Cy85+dvjQNj545wFmzxrO7XcOQaN5AqezfPasvZzylVmZrJiaQ4lNuVOV2PSsmLaPB5o7PNiHM0VFbNu9nc+mrKHUEouDtgTxMBtGL6DBe50rD6N6DlzbpACDThISYEevlVzbxLeZQJOYUjQV1ggaocp9oWe7XJZuU4RZoNFBz3YXbwXX/hr44zfOCiBffa3verFxoNM5sNvXA8VAU3T6+sTW9T30hIZC/1vOsHRtCH1vLiQ0tPx+FhWe5tDBLRw6kEBQUAK5p7YAp4BAbNZoXn0phoiIaGpERJ9Na0REExEZA0RRJpvRoJF/BiyurnplZynyJ67uhdydctSpU4ze4EnG6w2esiNnzx19iCPJs5DMBfKBeKAuFnMc389rQK3a8epVK55atWORTne3pAIc9oMcP5bE3t0HSEtNIi31ABnph1HSFp74fY16hYRGEhEZQ2RkLBGRMYSFxxAUFEVpaTNqhN9Ix+v8K7Hr9TDpvULOHDhJePPaaPQXyWq4kJmXxZ3jHmJrcrlZW+8Ot/DtKzMIDSw/xxO3WXjiNgs2O+grm8kEh8HYHxn+zkl2bUylfZe6vPNq7SppqztCAoNZNnoed78zkOXbldzyRwunU1RazLSn36NmqJbeHapOdzkpCQoLjcpSAkhNVXpgFRERkQkMo6Isy9g3IqlTpz61z77qUbtOfbreWJ+1q+sBAYCVW3vZqVnTRm6uFYfdht1uxe5K60TZyMq0oiLWW6lRw8L63yzYbOUvu91KaJgFNW6HAvdy483+3cabNgP3DaZmzS+Ose7USZE4ZndiWe8dxbq0Tn2C7Wf4mbu4kw+RpCCI5wdeINieT2lt71DSg4fAkwOd2GwCvV4yeIh/Z41WrUGjkTgcAo1G0qq17+vKzgK9zonNrkGvc5Kd5f+YVmu5O2lBvsqfSxewKrFuHVgtErtDMRDr1gm/ZNmuXVBUKCksUnV37RLe8/Hjx+kdsI5+tiUsoR92dOiw048l3GZaw+YTj2KtGUHmYT06g8TqY8jTGSTph3TYrftJWLiKzQtWcnjbn9HYrggJJJAiE3ju2hnUrhfLtbd3p+Pt3Wl9U0dqx9tISyq/6XXq+X7GO/YtZu3nQVitOgwGOx37XlwwoAvB0EGlfDzdyNBBFtTzffFYsQKsVtUBl0mYVCTLdCcS+ZXfsNARKGfDLMBjDuCZdgQH1yAktC5Q9ooHYlE66qEIEUbOyTBq1Q4lKCjs7Ib0sSPg3l8cSXbQsvVJ8nIzPF95GZzKycDpzAYa43Q+TeMmN+FNuCo0aw4TX88lKaGIFp2CadDcz07AJUJAgAqKdeqUSgN8/Fw5OTm89NJI3OfVw/LX8jNNgbsudRNLpZTtAIQQ3wBPoaLtnBOuqI4PAhNcmmHn8x2dS4vrcmADishaV6E8DxgCVLT0uh9F/P2E+jEWCCFuB3b6IspcuAXYK6W8kFAu/V3tO2+y7DLfv78d/jFkGUDtSubHkZGV5y8Hli2sw9qVtbj51hz63Jldad2fv49m3cpadLs1h7vu9e3/YrMJxo9uxh9ra3LDzad47a2D6PXeO2lB/56Ibs1ehMWGMKtVnW7NXoL+PZHiZW961C0t1dD92htIOR5ISbGO+XNjmfpRQ9Zs/cMnYWY2aziSHESjJsWYTP4Jtdi62fS+K4uNa4Pp1j3MQ1j62NE9TP7oMQ4fcif/tUBb1MaG5/Off+Ykmzf8zOYNKnqvQA8YcFLMzlIY8Ce6JpMpiG7dB9C739M0aHQVnV7rRWTKOmqxizV0pztriNEKBhjC2FWits4PJm1m6DPteDMyjpezj3OMBiyhH/1YQtyhbPLG5rD53dU+z7dvb7mgaGs/4qM1ImDqDGVuHhK4jqionl51CuKaMjUylrEZhzlFmQWOC1JCViViREhspLIV2OoEZpX7MAcExmC3twRaoCYoX+F0FnDGzVJICEHHznfwYkkB+r1hDHDejxYHDr7nHU1/Ntc5yvxT6dhsajvwVE4qX8x8BRiDshocCtTH4YStCXCtn8k3qN3Gyki1zAwYO1rt/sfGweNPeJO/SAmjX6GnuRvz6UsJQQRSTLfSn0l4dTVb7v43Ww8fZMuhAxxMT63w5W8p4WNOZkvk2MWI96d4HX5/SiBvzm3AzqPBtG9YxJsPHKNVvPcGXO1wG/smJ7Bmbw26tzlN7XDfk+4bG2Zyf0gK8yy3IBEIJPeHrOamRnp8TYAf66msyFbsiqRnu9yz+YvB4KGKsE3arwSzn37Ou46UkuLc7wmWwzhDuT+j06bjkw8bEhPXnNi6zYiNbUpsXDPqhdemx8dP0ufgFswmPft+s7AuKZ6Vja/mwNGdpKf5Mb2ihIKCIyTu8yOsdBZR6Hiae9afQH/ne9hCvTVoSkugS1flTtXmKpXXV2LZcS40apRHeJgKSlKG8HB1zwCcTic7t69g2eIpbEtYUsEBbD+wn9RUJbruDiEEwZpwbDQAMpFkYrfDFzP+XPsKC3IpLMjlxDHvxWRonmDvKx1p+dYSAsI8TcyE3UbrqUOpu/ILnFo9GoeN1FsHsu+Zj5G6C4+KsDNpN0998xwZeeX/0SG3P8EHj76FTus9XRk1J5CPFgbwwp2ljB3gf1O71AITN7YAWrJio+QNSy4Bl4BUCDAGsOC1r3jggyf5caMS8pux4mvSTpUixBfsSwmgbX07Yx8soV3Di9M4bNECQkIsFBXrCA+HuhWIXbvdxuIFk/h2zhjAO7pu2W9/ONmPP6ALyxZ7uyz6Q9J+9aocI8hZcBV5Hb8nIqq+xycaSykPLH6MrxlJMk1oQjL3LxrHvqazfArsnw8GD4bp0yEnx4HdrkWvV1ZYfW73rFcaEsHsptcyd/8aSinfrbsDiNeFUOODgcTENiEmtgnRMY2JD61Fn2lDSOMo243X0MG5DTGhIb8N+5o86aQg/xQFBacoyD9F4ZlstGu+JcTRhEKCCXGUkDB+P6uuvhmNTo9Go0Wr1aGzWTCtXgH2/ugIQ2vvzYDl4ynq9l9sod6TUqMRrusKm9ar9HISZRQV0W3pGAyOMYAeg8NGt6VvwOA3vN3FbDbazRlBcNFLQDDBRUW0m/MBdJngGRmkfn2E1cI8HmA5vTlMYxpzmN4sx2kzUlpPRTGJaWLD7mW85QA2YC76mU8H/0xOyolzXkJAcBBBNUIJCgshKDyUoJAgGq9Yj8VRiwS6kc0J7CQA5XPXkyfSWfrJ1yz95GsCQoJobmxEOkOR3I6WcF6tNRmNpQ9Otx8j4EQ6w154iGs0V7NadzO3aNbS/YUdbG7zFaX1KjFHrCqYzTBoEBPmz2eC0QCfWiHv/+Czz/yHsD1P9OwJP/xgx2rVYTSqgD/u2L1zNdOnP0+69w/mgaKi0xQVnQZ8+0ZKCePHlOeNxkACA0IIKLaioRFOJIJ0FszP5qf557IY3AF8z5v/DqXnE+9xfY+HPaysteYS2r33EH0SluA0mND8aiG7Uz92vTIbh8nHHPISYNAgOOMycj5zRuW/+07lbTYbU6dO5Y033iDfw6e5E7/zMBMYwWUgy9zxB2pBhhBiAIpQMgAJwDNSSocQogj4FOiBiiZ5L3CbEKI3MACYCPRGLSzellJ+J4ToBowFTgPNhRA9URo8m1GRJ7eiLL3GALWBB6WUW4QQQcBkoDWgB96UUi4UQgS46l+FMjH1OahIKXe6rqVi+UngpBCib4Wv2IBAwAg4hBA6lGVahVFGQQjRznW9AUKIa4DrUETjta42/SClfMNV9x3UMGRHRRb9yZW/SQjxOip0N8AUlFtQCfCElPKAEOJL1OKvPYoAfNFXe6pxbvyjyLIbbvD/WadOsH59+e5Ep06XN6zQsoV1ePyBqykt0fHNF3WZOXeHX8Ls5++jeXZgO0pKFFml0cCd93gTZuNHN+PTSQ0oLdGRuDcEIWD0eE+HfnHiJLq1+xAWz4W5sNhUeUqOh0vmD3NjzxJlACXFOlKOB/LD3Fj+85gnkWA2a+h61U1kpJmIjTPzx+7f/BJmm/5ozy8LorCYtSz6GWrWgh63Wpj/7XjmfzveZfmk0Aod7XmWo9zDNfzGTXxAoiafRVfdTOKhrRQXewpiSGz82UjKQrTkoYHP0KvfAIKC1Go5IOs4kXt/Q2uzcCuruJVVqrIdNgszT939El8v+BiHw47VUsprGcmsAr4glcFMO1s3InETgRlHzro2lmHfXhgzUu3OGb+HN8b5J8xMASrsts6H1ciR5B1MnzKYgxmVREqoAK1WRwhgctg5ifvU0BOlJRlABpRduxsCg8K49bbH6HvHYOIDQugxIB6t00wWUaRSl7qkEuIs4plTJu6YsoOFf8xn2aIp5OeXMQlFKOuzT4DHQI5i9qxYn2RZWgqMGaVE0WvXgTfGQly8d72xo5VWnJRKhHnalI6MrhBzJjL5EJw5zX3MZSsnWI4BG7sZRB62PGDGJ94HdoMkm5ck/Jicw+QN67j6+m5nP9ufEkinlztQYtEgpYaj2SaW74gg4f3tXoTZ5gOh9HmrLSUWDYFGJ8tG76Fzc2U2IKUkMy+Xg+mpHJgxmaC8FNoQjiCSBwlkcH4ivN8BRo33ap/DKTiRYyI918iJHBMOp0CnvTg3MJMJHnpUuTI1a+E9307cv4HZs4aTtH+D13ed2ElLO0Ra2iE15XFDGGpPOdlaqtxwMpLVyw+0uO9TnwtZ2HmDQcdh0OBVtJ22m2A3C8+CfCX8XVSkXDkOJ8PKX2Dyp75doaSEwkIICfHvrnnoYE0KK/AUhQWweUMu2VlfsHzpNLIyKyOufUNKSaHjNGoOWTniEERQG6iLgQykyCLdYOSkzYrT6f/uHUMy5kACwffH0P2OwfS78zmiotUuRuupQ4lbNRut1YzWRcTHrZoNwN4hU//09ZSUlPDqq68yefLks2VajZZJg8bzTJ9H/X7vwwUBlFgFHy4I8EuW2R1ww6ueP+CNr4ax6f18dBWIdinhqzVGVuzU07O9jYe6Wyp1xTVb4VC6lqaxDkwuIzyD3sC3r8zgsUlD+WqtEvNbvuMH1Bj0LamnjKzZY2DDu2f8EmZ2BxzP1lC/jtOrjWUICIBbb0vmwIF2XHc9uHvU7tqxihnThpCaUsHXkGvQkYvgOLbLFzCtAqz8nL6VpQMb0aPv09xz36vUrKUszdp9MJA6mxeyh+85QT3qcQI269F94GTHaz7E+1AbJjk5KiK2r42TyEhYvx6uu66EvLwQateB0W+XR8MsKjrDql8/Z9niKT6fRRtwpLQQtiz1+kwPNAT0LOIUkLs/A9vDDSq5dhW15gwwJwVI8SeapMqdvMR7xwQPvbQD/Wf7vBZv2VmQma42LjLTXRaxFy9JeX548EE6bV3BGn5nHd3oxjo6bd0DA5JhwQLPui+8QNjcL0hiBrtoRzt2ETbXDkYzfOI2vtasCf/6F+Lnn+lTWi7KaDfoyfrXbVhrqg2O2CZWrhHb2UpbbGwCvka5953C6YCcClqTOiHoBjSXTYmkPW3JpK9uIwWdr2Lzyq886jZ/7X3qfTAbg1X93/KAxVo93zeNZ116NiUFblEHC4vZWbgHeAwQNCSM7A1FxN29DLnoUzQaDUhJ5x4PEXg0lTucJ7iDn8EOzqMaOvd4iLWHVvkcQMzFghP7DNRrbcUU5P9ZlRI+/1wgH6obAAAgAElEQVRZePXsCY8+6uNwgwbBDz8o0qzMxPKHH1TF2bN9HjcxEf74A268URHz/vDQQ7BqzV4OH25Px+ugew9Vnn8mh88/e4m1q7/2qN8Z6A6kAicQpBiMpEkndj9BsvzBYinBYilxjYBqI13y58JA7ispYN/HT/L5V6Pp0+8ZevV7ivDw2rR772HqbFmK1mZB69rUrbNlCe3ef5jtr8/3Ok5WFiTtgxatfbtKXgjWrfOUpFi3Tr1fuXIlzz//PImJFY2KehMY+BlBj8bRYtIttsvVu7uIod7AL0KIFsB9wPVSSpsQYirKguwrIAhIkFK+5PpeY2CJlPIHIcTdQDsUiVUT2CqEKNPauRpoLaU8JoSoDzQG/g94FEWWPQB0RRFIr6GsrkYCa6SUjwohwoEtQohVqJDZJVLKFkKItpR1yBePua7XIJQ06jPA1/7cUqWUu4QQo4FrpJTPuu7HSCllnsvqbrWrfeko1rO5lFIKIcKllGeEEIvK7p3ru6uBp6SUyUKITsBU1GMGKnJnFynlxe3O/cPxDyHLvgS60rp1I3ya3FqtLJuRA8ScLVo2M433x9dWQgyXAWtX1qK0RP0cpSU61q6s5ZcsW7eyFiVuddf8WssnWfbH2poex/x9jbcAjfZIpnK9NPsYqIw6tIczsLuRZdsTapwlyspQUqxj+5YaXmTZkeQgMtJMlJboSE8zcSQ5iFZtvHe4AQ4lNsRidkX3M8Mf6xJYuvAxD80wvVbPKI2GV20W9PwXRawo3G4K46ZHxpHX9BpSUxJJXfYZaUums8lhw02uiEAgGIE+Igp9WC1MAcE4ncEcSQ7G4QhGuWr1x2S6kbbtBUFB5d8NyjyCU29Ea/UWaNIYTAy6tjftbhnARxP/w4njSpV3DdAGtYUwELXV4tQbCMo47E2W7S7XVrFaXRZmPsiy0lJ49gm1UA8I7MYTruCWRYWnmTP7dZYvmeYhnh9kiKaBtT+1m7fm5oHNCTAFYwoIJiAgGJPrvV5voLQUXut/hJtJ5CAa7n65iOzMRFJTkpRbV9pBHHZfpGNThBjC1M8eJqKm2lEOPLAFp8GI1mYmhCJaUr5oc+qNRJuLuX/AG9x973DWrZ7DJ//9EM7WsaM2oGaTljqYgvxXCa1g2VJGlEmp0jGjYIaPOV9GuqdYdHa2t+iFMTuLuXY7bwEH8SZ33KHTaGgrJR2lpB5KBrjsydsoJde8O5YnbtvBuP88Rs3QMN6c2+AsUabaoKHEAm/ObcD8V8v/2w4H9HmrLaeLJLAfi+0gN7++n3913sChjFQOpqdSWFpx3M0D8tgEzLHByzu20f9kNtradTzv1bx6fLgwnhKLll3H1PWPHXC80us8F3JzVeQp6VQC4FNmqEXpieP7+PqL19iy2dMUJRg14zmMolr9Id/18gWtVkejui3okZJIZ6eDTqhZUwHqN0jTGVj76AQynQ5O52VSkHoQx7ZfyJJO0lDbbaDu2jsnUwgaUJe+dz3PHXc9T2hoJEsXlRNloNKiIli6CO7/j2dbpITRr5aHoH/rHd9tTk0Nq6ChsgWLZSoTJ3yL0+G9094TGIzaZkwDUoBjBhNbrutPqnSSk5NCTtYx8k57jg16oAnQXGgw3DWUmCYdaBBeh/+M6keY3YISqXZ9R4LDKfl1bjqnpCQ3N538tEPUmfgQWU47KcBCymm4IoeNRT//l8ULPqZj5zvo32cQvVd8js7m2X6dpYS6K78g8fF3cQSev0vmiRPJdOgwjAMHyjdyaoXVZM6LU+nZ3isq/Vlk5gkcrofbISWZeYLoCO8lwqIEAwfStLjrBSWlaVmUYOBfXTzHva/WGHlmejAlFsGCBMU+PXyLb4sIsxXaDgknPVdLbKSDPZPOnCXMdFodXwydTHBAEFOXfeH6xkKgL1J+Qqm1OaO+CWTxKO/x0O6Aa14M52CalmZxDrZ9eMYnYfbll/DTD62xWpU1l14PV7VPYdanL7JxvWfEmxaobfYb2I0BG04gXW/kp+FzSLXbOJl9nNwT+7GtncsJKTmB6oWVTbZKZXhttAYTWq0evVZHjfRD6KVEj9pOL3sZhIbcG/8PnSkIgxA0XvElJqcDA7ASZWoAYHU6WbZ4Cit+mUHPXo9zf6/Hidq44OzitBEu4srqIGrjAgxnTmIN93QPcDjg5SGQcgLi68H7k3wTZi+8ALm5gTgcilCaNR0eGrifJQsns3b111gsFftWDYE0w0weTvxb+duASmIVXDScwCIpWZSSSN1HGtHrrufpfuvDZzfwxr0JKcclTilIOS4Z96ZgUiUROasM6emKnTGb6cQWOrFFlZtReicZGRDjmk8XFcGsWWA2EwbcVKY3W4Iqf+cdT0u0WbPIPglhq37CjAETVva16EL2rHKRraDft3CfYzC7icSGb4vigOAgOvS5iRuva8+LI94n0mxB/VquX8wOERt2EHg0hZKG5TttW55/mZ8mhjOYyQgkBgRZPMcD6x7nsXAriX9sY8viNWxduJKs4+6RLyTJnOEtO7B0LWF1OtG+143c1LAuHTNzCK6gXK9xOjFl5RCxfht5N3jqGJiLhSuyp5aQCAdTElP9Emaffw5Dh6royUtdfO5j7gHP8/Jg/nxPP2RQE8nvv4ePPlLig25ITISOHZU2rkYDW7f6J8ykhI0b6nHihNKl69bdyZpVXzB75jAKC8tDUwYFhvKMNYrR9hTsGDFgZZepMwVzfsQSFEZ+fg4le34jZOJjfGC/iz1EoCENB8VEcIw64jA5NWpTbC2ltKQAp79IACi2JTSuGeFRDYisGUvtgGC6LJxCnNNOKPAtir0p8+I9czqbuV+/wfffjqN7l38xYfMiYuyeY4PWaqbO5iUY87KwRJQzYllZMOQpznqCTppeNYRZSIjSKSuDyXSUu+56iQUViOgGDZqQnf0RWm1fNBoYPhwmTaqz58/RhheEACFEWWilP4BZKLKoA4rsAmUlVXYVDsBfKLauwDwXoZMthPgNZWVVAGyRUrov445JKfcCCCH2A6tdRNJeoL6rTk/gDiHEy668CeXXeyNq2o6Uco8QopIQD+cPKWU+0NfVphrAq8BdQogZKD/iD6SUm85xmHuFEINQvEw00BLlZmkGZgkhlqBcLz0ghAhGWdnNd9tMcbcxnl9NlF08/iFk2UAA6tWtTdcbb6Br16507dqVdu3aodPp4JlnyCsYi/tkOi9fq+z3Z/xJv5YLxM235vDNF3UpLdEREGjn5lu9Iy+VodutOcyfG3u2bvfbfNe94eZTJO4NOVvvxu7eqtKOxjEIix83ZosdR+MYj6IOnU4zf26sB2EWGGSnQ0dvC4dGTYqJjTOT7rIsa9TEv0ZD05ZHOXSgKRazBa12FPv3/hfpFjmnecsuvPT4RAYOvwVfG+0am5mSqPpoNBrq1W9Ni/5D6bZ8JlqHjTMoC5RAV+owmFj34XpKXFYSBfnw6ABPYVGHA+p4cg4URzdCY/O9cNLYLBTHNKZhnXp8OHkb308bwvxl/8/ee4dHUbbt/5/ZnmwKgYR0QkISCCX03osgSBVUrIBgQUQEbPAIKojYGyqiPIKChV5FitJ7J/QQahJIgxRSNtvm98e9NbsbsbzP732/j+dx7DGZ2XsnO7Mz99z3eZ3XeX2FFdHbPw3MAMYDY4yibVU0bioUZXazXF+GolevCKLMYABZ1pCWZmXvni2sXfs4JcXO31il1jD43hdYvmQqp9DDOXguVQx+vEGng1rt6rH1QD1atxURQtcIpclk5tH7L1FefhbRh99CpN33Rq9XUMNlvFUeEY/C6PtcVYTXBUCj0dG77xjWrHyczGubgNmI5y6AAav1A54YMY9B905i0NBJ6PXBWCxOogychJm3lMzoGKEosxu6hoeXAmIib7FYWLJkCVM2buCaVxIQkiSJNk1b0KZ1e1on1aeZSoXflOcdrOY4YBZCP20CZGS+2rSeZXt2MPPhURy92NJBlNkhywqOXRKTA5PZzOGM86w7mEZR2SxgL/YhnMEIP+zkjrAfGGYxk/DSs0wc9hCjet2NXicU5usOhroZ/K87GPqXybLzZwVRVlEhFC4H913l/LnX2Pbrd25ErRoYiwjz2ae5t4GzugA2DJ1EukJBduZ58tIPk3X9Aq5OgXWBtkArjY6gkbOo2X8sMSd30vKtB1C7qEdr2F6JWj8C4xqR36oPALX3r6fF6d2oy0swIgbHs8E+BaesopSlP7zJulUf02/AOC6cehaTyd1LyWSC9JNGBGXgxO3bgiizWsWyqnrMjtjYYlSqUiyWJQhLi8PIMrgOXfQBNejT5X5mbVlIA5foehhCO28BfnvqAyprib44OP0wLV7qSV5FCddt5zUB8TA3+QWwr8fDFCe1JDj9MP4aLV7ylbCqtQTkZ2JJbkVIzQgClWo66vxRlwslYxnC4epjRK4CCDXbgX1rOLBvDT9ICiYijDpcRYVWpRq/gmxH8RBXmM1O5YtKJXwoly95mx8Xve6mcBvQpg9fj/uQ8JDqfcUOpKvRqKDSJKFRyRxIVzO4nWfQ59glFWWV7vdgWaWCY5dUHmTZ5mNqym3V7corJTYfU/sky9KzlWTfVFJeKZF9U0l6tpLUeOdxKBQKPnvqHRZtq8XtCrsB6lagEbI8mEMXXkLQve64kqvgfJYSg0nifJaSK7kKEqM8J4abNrl6BRlYs/J9vvz8LYyVTiMnf60/r8tWnjcaEMluop9TABEaHW38g0loKQyGQk7voe2B9W73lh0mfTAHpq+ksFFHAPSZ5+kyvjWqCs8L36TTs+vRNyiLrU/AtbN02rEUta3dDEQeyes4RaVmk5EN675gy4av2SNJTEWoS11h1ejwz7niQZbl5wuizGQSy/x87xPVAwfAYhE6VLN5PUcPf8rB/Vs9G1ITYQXwDOXYPcpK0eoyeOjRDMzmC1zPvsDN8wfJuXqGHC8TUj0QWKM2AWGxBAaFUkulpsHhTdS2mKiJOPcW28uo0pIx6Fkqgmrhf/U0YTuXg7kSC0Iy4arfzsy5zNdzJ7BowVS69XiEAb1HkXWlJVZZXANWWSLrihllhQGLnxcn9L8Tly6JnM+qBAyI7RcvOsmy7GzB5Hprq1KJ9+vXd27T6fiiw/d8/msBcVzlGnG0SbnB0zotxfk3+WXuD2z68BtuGm8jNHpORAL9VSpSJ44kauZE1FotYZt3EaTVgMFLP6hRo8+46kaW5V7VMkP/JtNLXqc2eeRRG5VexcyrN0iqDU17dqBpzw5MGnkvIZ2Gs7GsnPXAPtxVzsUFhWxfvIbtiDyytgj5TT9E4EgCkGX0GVc9yLKrpzTcvqXEUKpwrNdv670f2rxZEGUglps3VyHLrlwRA0pv51+jgatXPciyXbtsRaRsz/edO32TZTk5cPVKDSwWOH/uDK9Mfpr0c+5e5Z27DWfMUx/x+CMRrOICiWRwgSSumBJZFSjuiZCQcBqotTTXKHjYvIh8QrlCXepyhTAKMPkFcWz8XHI7DEKWZQL2rCT+/VFUVNx2BNjs7qQKfTBHn/6IvNZ9Aah5cidtNi909G3dEOO2r4HPJIls25jFbDKyecdPbAa6AxMRv5d9WGlVa/HLveJGlp09Bcji9Op0Yv3vIMucWbylwGwyMz/g2jXnNRAQEMD06dOZMGECBQUadu+GTp2ct91/AA7PMjskwdZ8K8uyt3qrhj9J2lSdOLreCFaXdStOTkMChsqy7BbLqKrM/R/CNMTl9SCwG2EGvRLo4+sDkiTFAy8ArWVZLrSlT+pkWTZLktQGMdEaBjyLUzFmhwIoqvpbuOA/b474/yD+S8gygdz8PFasWMGKFYLc1uv1tGvVik67d1OfCG7yPGZCUWMQ0a/Fi4XLv0fJnr8f/Qbl8tXio2xYE0G/QTnVepYNuf8GEvDzmnDuGZTrVVUGMHXGeSQJdm4NpUuPAqa84RkDleuEYe7eGOXWkyhcUjGtWjWW7o09qmIOeyibOe/X42K6HqtVgUJhJTq2gmEPedaW1+ms7Dqx4448y5q13Eth0VV2bXkXk+mqyz70PPb4bPr2fwalUklO+0GE71+LykXdZdboyG030G0gXR5Vj1sNO1Dz1C5quESILCottxp2cBBlIFKsnpsMn3wgjNKtslivmnpVEVGXm026UittuyP6DWBRa7mZ2o2KcDG4Vmu0PDxhHo9eOMLzF45gT4a8DkwBZlpM9Fj9CQOHPO9IawKhInvtTWGQ2ryl7xTMuLoi6iT+1wGef/4FDh1yz2dr3rI3Tz4zh+iYZAoL4bfN0LO3b6IMBJnUf5AgmJq39JTyq9Uqhj+SzOJvkzFWDnJs12jh/ofc922sEcaNjoOJ2LsGlYsLr1njR06HQR5VxUaOUTB7Rl/M5rsR+oOpgPDSqago5afvZ/Dz2s+49/6X6T/wWQKD/CkpdqZNBwZJXhUFr75R1bPsIBZLN5YsWcKMGTM4f979nghCkDs9gVaSREh4JLzxrvvJiEuASxfAbCYQeBt4XKnkeZ0fv5QJuqew9DbPzvuUYP9fEWmldoWMBYnD+Gt/pu/rm9h99iSlFXdWBChYr6dBeCT1L1+igWwlATHxXAzYr/BLt24y/qs5TP9hIWP7DqR7k4c4k6nH1QD3TKaeE5f1NI3/88/Q+ilCUabTFWAyvcXXcz/H7HKfSZJEjw5D+PLAehKrRGgDgZZWM8X9nqRlqPBr8c/OoOtTTcg3GbiGIMrsXLUFie3tBlKu9aMsKhGFj3QNhcnoRkKXRSehsJGgGsQUeCRCKz8LiXTbRLeiopQVS99BxUcoeQoLUxDTLtBRQc/s722fdiIgQFT4y84Sy4AAKHGpmyDLMgcPHuTw4dcxmfaCGw0oUC+xBf0GjqNL1+Fodf7UKMzBcngzSpOzb7OodeS17OMgykAYkfuZjSQgSLKq58BuRF4RXreac+UkrAEqatdxCwToEfkKTwAblWpeS+3K4WPOqftJ2crjiHyDEYhJYEdAaTZREerpwVNQAGNHC9WwVgevz8pg4fxHOX/W2W/p9XpGDX6UT++fcUeD2rbJJpQKCPSzolSIdW9onmAmQGel1ODsoAJ0VponeAaJejc3sfqAlvJKCX+tTO/mvtP3k6MtRNeyOJRlydGe8wBJkujScCY/HwkCptu2ysAqcotW0WtaF14Z+hw9m3ZxHHPdcCv1YywOZVndcO/PzT59YNUqM0bjRmACV6+4pxB27/koTw0cx7AXu/kIMFVSFu28X8ojElB4UU0DKIwGyiOcV5shNBrJ4v3cKCxmDLZroCI0BoVLOwkxY+gNbFSpmZTQjHPphwAwWUx8CXyDSGp7EbAnNEqVIhhWFXq9eP6YTGLpqgR3HFd5OfHxe8jL+xVZXgpc8aiKXTc+lbv6jGfB/Icwm6t6EgVgtTTjrj7NHJU59Znn6fpMc8qNFVxCzNLCgFqARuPHjvd3UhYrCCBVWQm9h4ej9HK+LAqJzQ9Px6wPIuDaWbrsXun2W51H5NMsRATdAAyGMjZumMfGDfPQ0xILk5EZhgKJFPkMLWb/i0MzPE3mTEZYMF/YPTRuAqPGiGIjviDLzvRWj9uxXj3PEqN2VFaK9+2IjvZdotBsFu9XQY8e8O67oRw1hKLTQc3aq5gzZgvbF6/BVOnep/kj+qARCCmKVath3719KLKxDWWJcSgqffSDlUbKEt0LN4THmzCbJIxoybLTtiYr4fHux2CIi6ax2UxTRD9YiBi5/GJ7uY7grQgybR+iF2iMGGcMt32/qohrbCSwpuhPAmtaiGvsO0Wxd2+hKCsrA39/se6GunU9S5jbYTRCnOf/79LFVkTKTyy7dPH574mIgDp1rnPlyjys1ndIP+c8T+ER8Tz97Be0bH03IArmXLyaRIachCRBnSqseFl0EpLNciWMAsJwBn8li4myaFHBRJIkiE+ljsXstW+zVBkLlEfW8wje1kLIf55Xapjx1Acs3/ItF2x9EcA22ysUuBshG+plNLg9N0GkXiLZrCgk2/pfxLp1cOaMBViCKM6S7VYdfsSIEcyePZvISDFOmTRJ+Jk98AD85D1b/T+F34A1kiR9JMtyniRJNYFAWZZ/z0BwF/CUJEnfIiIWXRCPAM+o251hEzBekqTxNtVZc5sP2U5E2uZWSZIag4s55d8ASZKSgBhZlrdLktQUoQqT+f1qGkEIUqtYkqRwxJBqu0015i/L8gZJkvbgjPXexhb1l2W5RJKky5Ik3SfL8jIbYZkqy/KJv/PY/tvxX0GW9UXBPqxVYlBQVlbGbzt2IKzWZyExGw3NqU8yL7IGWa1Gysz8j5BlVit8/E4SaceCuXAukH6Dcn0SG1YrfPlpPEcOhpB51Z+Bw254batWy5QUqzh+OJhmLYu8mvsDlHz/AidT5+CfdYRC1KgxkRmSQuiz/bFuS0OWZaxW28toQpt/Gax1gAiw1iGy5Dp+KiPeLiedzuo19TI7q4B9u06zf/dZ9u8+w5mTV90UKQBNm/fi2ee/JtxlkHxi8gKafjCKiH1rsKp1KEwGctsN5MTkBVTF4WnLaTVzGDXP7MWq1qAwGbnVsAOHpy33aJvaDDRqMXbTqMW6Nxz511Kav/kANY5ux4AWHZUUNenGsalLPNoq3v6VLa8P5ruTe/gCC7m2yXm51cL6NXPYsO5z2rYfzOChk0lp1AFZhmU/wfGjwi+pURPvXkharZXX38pi8bfvsH/PXA4dcp63sNp1GP3UR7TvOMQx+ZowGcZPrJ4oAzhxTKR1VFbCz+tg2hvQtLl7m0H3wuEDkObSDTdoILZ77G/SN1gtjxO2azWVaNFSSX7bQZyc9I1H2waOqKWEmErdhUKxmsioV8nOEt4Mt2/f4tt/v8zq5R9SVjwVodfTABKGYiPF100ER7nPliKj4AtRJBWLxcLa5b/QqNE4T5JM58dEpZIJZjMhIE58jRCY8Z7njzBtFpWvTcN86TImVKgxExcXz8+vz2B9+lmen/85l3IEgV1cfgYRCBqCUHXsRKaEk1fhpM/hQxxqZSOGdQihe2o49aNjqR8dS+0aIeI3nTkV4+GjaGQjDyBCWJ+gYJ5SotAmjywsvc1by77n7eXLsMoPIoJWYlRnsshMXxzHmml/vuq0xXyVXn2+YdPPH2M2u1ftbNm6L4+Nmk18vaYEvDYIy5FNHuRyfsvejgk1QHl0IkUp7ah9di+RLgSPRa2hMKUd5bZJvSDB21Pz1G6UbiS4hlsN27ulNpfF1qcouSWBpw+ikW2FS4Dhkoa7G7bhvYHjWPrDm45UbzNGRLLaV8C9qGiDnoaML36dC1c7UBrX0LHvjT9Dvi25ID9PrKc2hps3b7J48WLmz5/PqVOnPM6bUqmla/fh9BvwDEn1W7uRQkdf/p7m7zxC7cObsKi1KE2V5LXqw7GX3YtFGYNDudHpXiL3rELpQkRbNH7c6HQvRlvKsjE4lBsdhxC5d5Vb6rhF48eNjkMc7QDMATXI7vEwUdt+dCO3rRo/Gnd/kOmT/k3WtXOsW/MpW7d860hbywfet738gIaq2jTb+G+at+xNbJ0Ux/G9PVMQZSBTafiaqS9MxNXOo0OHDnz33Xec2XzsjqO/kTVlznxeyIF0NW2TTV5TMAEGtjXSLN7C8ctQalAQoLPSLN7CwLaeE8jHeojr1NWzzBd0Gkj7tMjDs6wq3ny0gl+OvopV7oXQNjqJjN9O7OS3EztpldiMKcMmMLhdP1RKBYc/LPLqWWa2mDl97RwbD2zBoNuIn/92jEb3NLT4es14atxnNLSpwG427kzNEztQWZzHa1ZquNW4MxURTn+tylqR5LXuR+3Dv1S5XnTktepLZS1nVWCLXwDX+owmdvMCVC4pjGatP5m9RzmUTRb/QK71fpyYzQtRG13aafxp0Hsk7zz7GcePbuHHRa9z7qzIUjECc22vGKAFCmrrkom9eIKk5FYEBIY49jN3jnsV87lzYOKLRtLPHSDtxFYO7V/GhPHpmLyQNQqFgnYdhtB/0HgaNRFk5cWLsHuHO7eg0UCnrjiIMrD3La2oce4ATav0Q0XJrRxEGYBZH0TmXSOJ+fVbVC6qP7PWj6xeIzDrhXlaaZ0UihObE3z+kINYqw98qFQzOakFb981kg3rPndYPACUcQQx95tAIM24jyPkHSlFm5dJZW13JmLBfNj8izi261nisfbEWI/TAgiirFs32LsXOnQQfklut2VUFPTujeUXT3Jf2aePu7wlIABGj0b+ZgGSi5WA7OeP9Pgoz2IAQFISKJVWlMpNmEwfsfjTLR5tolRKxpmtPI2MXRdlQokhLoqits4BXHlCHW51bEGNHUdQu/xWJpWGok4t3VRlAEGhVlI6Gjjxqx/2AFNKRwNBoe6ktSkkmOwHB1D7uw3orBWEIBzLByr8yHm0L6vGP8aRX3ZwZMN2zu875qZBPIVQpb9cbqDzD+voWyOIuk2c14xOL/P5mcw78ix73Gbp6OpZ5oaaNeG++4RHmWtgzs9PbK+iKgOhIjt0SCjKunSBBg1kbt0qJDMzk6ysLI/lzZvHkGVndolSqWLwsBcY/tA0tC6G+P96A2a9JtT+MbFi3RWlcQ0pSUilxoUjjkAXgFWlpiShmdszuCw6icIGbQg5s89jLFDYoK2DWANB7ue3vIuwI5s9xiJFrfrQfuA42g14hvNn97N21cfs27kMi+0XK0AEJBcDSrOR+rPup3Wbe2jZph9xdRsTESHx8efOYlR/RVVmNpvZsWMHr722DFiFM4NRIDKyNatWzaGtS8lZo9Fp/L9kCXznbsH3H4Usy2dspvObJUlSIAa944DfI8tWIdwnTiDIpZdkWc6RJOnPkmUzEcL4NNv3uAz0RzxWFkiSdBbh++K1uo0kSc8hWMoI2z42yLI8RpKkCIRBXhBglSTpeaChLMv2QfAsRCIFwI/AagQnO51qIMvyCUmSjiGE/Jng8IMJRJCPNirWYTpjtyAAACAASURBVND/E/C17XsOQ/jCzbWde7Xt/X/Isr8RUlWC4v9JSJJcgZqjqe04OfYhdu/eze7du7l6tfr7N1GSGDB2LAPvu49OnTqJlE0QsuWLF0X0LC6OFevm0nOAl1LosozySAaKjBtYEyOxtEz06QSdnaWjWXwPzGYlKpWF45e3Eh3jPcqbccGf1sk9sD/ID6VvpV5iGUajGUNFJRUVRgwVRioqjHRKbYXVWoYk3eDND7aRm1NIfm4ReTmF5OYUkZ9bRH5ecbX5/78PPU1qKajTuRFx8eHEJYRTNyGCuPhwQtQ1OPBzEJFNMkhLT2f/7jPs332WzKt5PvcWoA/m8ac+omfvkT4nTpqiPPxzrlAeUdcjNaMq/K9fRH89g7KoRA+fMDsOHYD33xbV7/z84YVXfFdhvHoFPh1/lVhjBpmaRJ6bE0dcXe9tszLh/TEXSeAMJziLOnoR17M9J9H1U9rRs/dkvvhkEKKvM/LOR5lUlGeQc+MiN65f5MZ18XdOziW3VBsAlUrFkGEvcd+DU9HpvITX7wCLFsKyH53r9z0Ij470bPfhu7DdpZhn914w8UXf+x1zdz515Ctck+oyf2OY1zYXM+CVyfYJtYBWB2+9ZyHr2g/8sOg1cnMuV/lUXQSxFogWNY+E70M3/GH8/APx8wvEzy8AtSaQrStljqcdo9T4LrfL3M3ig4KC6NepK188MoYQfQCcThMytKhoaJTq836duyGSz740k8hFMqjHs0+rGNtPEGQGo5EPVy9j1rLvKa/0fg+7Iq52ON2bNKN7k+Z0rpOA/raGWvHBKGv4IOkrKvjt0c/oYNzmICH3aHrQ/uvRLNy7gw/XLHOQde7ohPA+HUhdXSCXl1Y1/4Yz1/zZcaoGXRsX0bBKAYKlGaepqBnIW7M/IP28Z/XE5AZtGTn6HRqndnVsU1aU0vzth6mxf7Pjuxa1682xV773SBVS3y6k1cyhhJzd7yC3C1PacXjaCkwuE2RVaRGtZg6l5pl9LiR4ew5PW4HZxbAfQF1yi+AHB9HUfAQjGjQYOaFqRfGPqzEF1cRqtbJ/zypWzn+RdI/rS0AP1K/bmIS2A2jQsD0NUtoz56NQDjgcKKw0SNmKXj+Dk2kHMHqJ4ks0QKEYhVI5kvfn1KauDw9wWYY5k69jPHMRTcN6jP8gyuslqDAaSP1wDKHbVlCJBi1GCroPJW3SfKwaZ2KkorKCph+NIXL3SqxqLQpTJTc63cuJifM9qgtKJiNJ744lbucPjn1e7fIQF16ai+wiQSm9XcjzY+dhyp9FoRfFnB21QqNp1qI3zVv25tMPe2GsNCMUek6jdKVSxT0DHmTl8gUolUrWzV3OgJhuGIz4JJ/+DMwW4V127JKK5glmBrY1+jTO/7sxb6OWp78IwGnzcBJ4F4X0I9YqWSn1oxN5eeh4UuMeYO85f5KjrnDbcIgD6Uc5cP4IRy6mUe7hryUQEBDCIyNn0affkyhdZLaqsmKixt5HUu4ujGjRUMmF8M5cn7sMs969j1Eaymg6+1Fq7t9AJTq0GLjVrh8npizCUuW5IplNNPpyIhHr/o3JFmTLGTCa009/5FYRVTKbqDnteZof/cbR7liLx7k182NHO1mWOX70V956bTqVpipVP6ogMiqRpOTWJNVvzZLvW1Na2hShwdqKSrUVpXKXFw8yV9SkQ+cnGf3kWMJquxMlJiO8NQOOOAUmtGwNU6d7qrDUJbdo/cZgaqQfxqrSoDAbKUpuxaHXVntU2pXMJhp+/hyRGxY6zsGNfiM5M+5Tt3OlLrlJw8kDCb12DCNqNJgoqNOcMx+sxRRUC1mWOX1qF79+9xo707Z7Ke8jUENfg4bNe9I4tSuNU7tRJ64Rz49T4Co+rJsAn851rmddXsfYp0Txtrw8Ifgym52Zkh7V5EtLOdzoIQqubeQ4SgyYyQyKJ+DhXpQZjZSVlTlfpaUUn8vAUFKIBZE3hD4QTVQ4CoUCpVKJQqFw/F1SouDSpZvI8hWPY0tqncrAiaPo2a4ZcQnPEIvTK/cadbieOQ9DTKTbZ1RFJYQ1mESj3P2O59Dp8Hbkn/sQc40gj/8xrlEsmWecP3idRkY+O1W1EjYoKisprPEuQw0/Oe6tFbrhhBS95FYN03T8DAXdRvNbcSE/Y/aaF9WwUyv6PvMwHe7tjdr2WaNBQqNzztGy1h1g7ICHvHy6esgVFZx74CHWr1vPYSTMWJDqxCK1bIGsUCDLsscLhKDAToiVl1d3TznRIKU9z0yYR914H6kRvwNNcQGtpg/E79xxxz1Q0aAZh2esdQvwgG3MMONeQs4dcI4ZGrTl8PSVbmMGsI1FZj9MjQO/Pxa5mXmejeMHsq0iHd8zFRGcbtGqHydP3ENuTg/qJfrzzke+K7S73mN2mEwmtm3bxvLly1m1ahUFBZ52OUJn/zarVz/GoEGeUW/XMYKwHJGOyLLcqpqv/g/+wT/4A/ivIMvypNryEUVr+uYvcouiZGZmsmfPHnbPmMGus+c4iezTEjEkJIS+vXoxMD2du8+dw08biMZYCt26sWbkXXR9IMmtvXT9JgF930Bx8QayQoFktWKtF0npxteRI6sMpG7d5lSPdXQ5sRgrChRY2dj4AULmtyOnwsiN67fIvXGLnOu3yMksYMfq2xSYjAjVZgVK6TZWjB7KrP898Mdpr+0dSqC5JNFJoWSSpETqNEQok/5kuXhXfPOVMOm+ZyA8/qT3NkVF8MwYp+/VF/OhRg3vbU1GeG4sFOSLqp2fzvWdzrBjK3zwjnN90ksywTW2sHrFBxw7stnLJ2IRZNlV7rTOX5/QUDo9OZWmXSd6fV928VOoTrSx9Vf4+D3n+sQXBRFWFVs2wZwPnevjJ8FdPrPxYdECWLNSqM8eHeW9ze0SeHQ4uBbnUyhh0U8QGAQmk5FfN33DkkWvcauouuHLnSEoKIiJEycyYcIEdv+0ggEx9SgqVTFvYxT7zwfRrn4JT919nRoB3qcj6dk66o9th52wPj93P8nR7sRYZn4eL379GUv273b/34pgBnZoTvfmrenepBnxEZEiPDjnfdi7Q1xMJiN06ArjX/BaZOSRD1LYt6eSGPMVslR1ad9Ry+LJgvyyWCysObCH91f8yL4L3u2nA4jh2QFtGdi5G22TU1AoFJy55k+bSS2xWGWUComDHx6hQUwp208e59utm1m6dwcGL6k3DSSJV0NjCf14L0YvKXgAM0Zmo7txCUNkAtMXem9jh392hpPcdkkT82h3ByQ4iMlvyYHzxJsvcFmVRHDb+kypEufTXzlN8TMtmG0xcsj7btwQpIigxHoXEI0I4l3x/H7+/jRv1JrUy035pmA2lfijo5zXo76i6SePeUyoAUpK4LEHnMbK3y1xVu2riqxrMOvZAsIrr5Kri+Nfc0K9VoQFMQHxy71CRXhdjwmHKywWmDG+CPlqJlJcLNPn1PA68H9/NuzcbkbHSnSsoZgDyD6MtgUkhPbM+RyIiU1h8suL0aqyHROIdXOX8+1X3VlxvCbDmt9i2Rv/W59pdwZZhsgRNckt8pzghAZe5P7Os/j3lh+orOKFKRFpG43k/O7/UCqU9On2IA89/ZFHIRQ70o7Dd9MuU8eYwTVNIo/NjPepnpZlePG+G4TevkRBYALvLYus9rmxbH4px9dk02xQNPeN8e6VlZ8HU568TYQ1mxxFNLO/CiTMS4xr1EMyN2/+hpo3sbAfK76VfX8EiYmNyMjojlD59uGL+f7EVDVGs6G8XKQMl5WJtM65/xbpbb6gzzzv6IdcFWXeMPfNEi7vyia+czRjX/V+YxcXwcejzlLXnMEVVSLPL0ghuMpYRJeXSfLIJBZYKvkKZ5EZXwgMqoVK2YXCwi6IDKcmtG2v5l+vO9u4TuRlGbq1LmPvcT86NKtg+yG94xowmUxs3bqVFStWsGTJKkpKvE3u/15IkoL2997FwImPk9KhhSOI+nCtOBrdOkg9LpFBPc7UbM33N70HwX/7NoBNT98m1nCJTF0Cfb4MpOcI72T/3GdC2TQvCKtVQqGU6fNkCWO/8H6cTyTUofLybWLJIpMYtPGBfH3pmke7kdF1aHh9H3U4yX4ucFW1CYv5nEe74LCa3DXmfq7sGc3hnS3p3CefFzeK7AyfZFl2tvCRS0hwpLWWl5ezfft2fvnlFzZs2MClS3+86vIfQZAugNH3TqTro6+LKqB/EUv/dYaSwxcIap3E/W82rLatPvuC8x6MTqq27aKZ2eTsvkhEp3o8Os33WGTtKlj35XVC2cRVzuAXtoP8/OpGByoghvoN4oiKiaN27TjCwsWydngcoWGx5GVvoX9qc3auzcMSdpodp7ezevVqbt265WOfEQjziClAEFar5xi+osK9fyovB3//f8iyf/AP/k78V5BlkoSsULgbuLtCrjSyMGAcvcyL+BmJTRj5BSWVePdZkFAi04V6SDyq3IF/dG1iPx9DRGQI4ZEhhIUFE9JqEorT15AsTsWWrFRgbBjLhfXTuHH9Fjeyb3E9q4D891exNbs2x+UwxLDnOv95T76aiOhFEIK6UtCmQxFqNSgUkoj6VVSiPpCO2aLkBKkUYQAuYeHOPJdc4e+vpXX7BrTrlELXHadou/ssNc3OH8jubXVsyo8en62shK/nwplT0LCxSCVwCeK5oaIChg9xGrz/tEqoz6vCYhFpCkcPQYvWws/DV3QIBJdhL/hUne9Hbg48McK5/vW3ztLuV6+cYvWKD9mx7fs/XDYbQlDQADXjSFPNQtNAz8kPPB/kly/Ca/8SRQyCguGNWRDvg1f4ei6scym0M2Cw9zSNNSvh3/Oc66Of8p6G+Ufx2lTh12ZH85bwxlvubQKObObAa4OYZZIp/RMTKQV6piWEM+HwYUJCRORx3dz5dK5Rn9TnWpNfosZgVOKnsRAaZCLt00NeCbOD6YG0f7EFVlmBQrKy772jtEn24vI+dSITTtfnU7kBgljpwkfSPJ5vtA3e+sjZ7oO3YN9Oz/yf9l1g8lSP3ZZWKHn6i2T2ng2mQ0oxXz6TToBflQ7u4gW+e/kTHjcmYWEdwjnFE+E1QhjQojWqtAgWFHxIJbXQkkb3oOc5oznFtQLPAiIK4C7EMG4YoFCqKI1NYceXJ3wysvZ78D+NsjL49AM4fw7qNxB+hN68jRqN6EB0ziFOYmY3wl9mL6Iq5R9BmzZtGD16NMOHD+d2qw4UXFLT0nIICyqUmDmibE10w2D2vb/d47OyDNNegVNp0DgVZr7t/ZxlXYOJ4z2VmB/NwYMws/eXp09Bo9/pL0H0hTcLoFao7z5w+itw/FjVrZeJid1CnbjNnDj+G2WlVY0PnFDwLN/Om0pw3UjnJP3WLbJbdSfm8nHsJHRFg27ops2HKiqB/yswmUF7by1kL1W4JWQqV97k1u08Pl47jy9+WUBJuY9KES6ICY0iLiqagZZyWp07R3OtniCTkbzWfTn2sqcCzI79e2D3TpFS2K6D7/1npMOk8c71D+dAYrL3tjk3hCdkdpbwhJw2AyIivbfNz4NzZ6BBQ7wSZQAPDRXFEwXMiEIyh1CpDhFX9xBXLqdhsfjSUzkREZlAatMeREcH89bUZ0gb8T337n6eMgLRc5uvG31M8FuTsei8s2Dl5XD1MsTFV0+U/Rl4K0RTFcVFcCEdkpLxIMrsqPPkAOpf3YKGSk4CO4DfULBToaTI6ttrT0BPhCaBLgP7UL9JV+o3bE/Jzb3iPszPhwEDkNNOkq+MIMySg7FxI359/nmWb9nCmjVrKCz0LOj0P4NAIiPH8PQbdWj+xACPd69nqBjfJBaTQUKtk5lzMpOoRO/XhyzD1u8COLbZn+a9y+nxWKnP59HpXRqmdHGyqW/vyqRhJ+9jtGcaxZB1xtmhxjSs5IvT7k8NUyUM809Atrr+QyszNv/E5vnfs2/lZixVjfSQgM5AAhPitiFPfBRLoZGnhz1KbGwsQUFBSGVl8PDDIgdTqyWjooJfkpPZEBnJ9l27MHgz9f+T0Ov1xMbGEhsbS0xMjFgGBRH71VeEX7pMklqHzmrhdlwjDs5c/7sZH9XBYoEXJ8Cli5BQD9775PfvmT+6/9/b38sT4exZHHavKQ3hlWm5HD28kcMHfubYkU2Ul5dUv5MqqKnUUGRpjJVLVC1OYUdUVBSpqUPZuPE+RJFD5xddtgyGDfP8jFLpDLBZLP8oy/7BP/i78V9DloWFuZfhdUVhoah86GcqJpZMMomlXKXjxx+3s23bWtauXUtW1p1PmRQKidqyTKQsqrOogGzbKxdfU9a/DpVKiZ+fBp1Wjb6gBB0Sl2iEmSB0BPMYm4lWygS/PYKwBjGER9QgLLwGOr9aJIUNBLcBvcy1kl8IDHSZgN8uJyB0BCoXo0wZuAmkq9Sc/WosV3MKuXo+m+xF28iwwlVH7afaDOAm3VTQbMsMmnRMQa1WIeUXE1TncSSDF/NbtY5fF1/zMIP/7GORBmivGtm9F4yb4P2cvD8bdu1wTtQ7dxMpllWx+FtYs0JMLLVaGDwMHn7szs57daiogFEPQ7ktSv3N955kXXn6EU5MaMu7Vj0WnA9fNWG0kwrw73wfYfGpxAXUYMC8SRw0D+MV5lFOAP6UMofneEy9mG3fXMTg4lMiyzDiQShyGdfWCIFvf/ScgJeWwsgHPbmahT+6W4rIMjxyv1CC2REYBIuX/nUi5NxZmDrZitkCKiW89YHCxctMQJeXSdcRyRisBpYSzHlC0FEAlFKEkgtdh1FqtWIszkdzcgfpcgQF6JDRoGIIY9Hwqe5dMQqqWxcQZNmZ/d15/ae6GIzOgYlOY+H14Vd4eZhnlLjMoKDRuDYU3FYTGmji9OcH0VctYHE9C54bw3FjCh3ZgwUlSizspQNNNefg0/kQFSOYzFH3ezdBVmtgwRLPahN3gtslMPI+TphSeJlJHCYHNSso4jAGnxpaPyQSkDnt9d2G8fE8ci2TERYzVYsumXV69r67jeL6rT0+d+mikwBK8C0CAyD9nKgw2SQVkqtxrFj4b1i/GvoPhpGjfbe7U6TvLqDDmwNJlY87UqXSpGZseO5LjAHnOX92H+kntpFx8QQmj/MXwmOSzOS1i0jt39+2w3TMjZsgm6xoXAIvRtQoNGp2fHnCIwouyzDlBSepMPt97/fV+7MF8eGaPa9QCCKkav/2R/rLO8XoR52eba6oHQ7zvxOVLi+kH+b4kc1krPiAg+VliOdADLCAmjTnbOr9HHjvNydZ1rkzln37GG75keUMYxjLWaZ6GJJbwtuehuX/FyDLEDlUQa7ZU0UYrrpFzkrnD1hcVsLc57vzXu51bjkS7AJpA/QIDaLtk2/RJqkFUbUiuDHtHiLPp7lVuLN7ix1+baXH/7pdAmPHiCCPWgNz54t+2xuefVJUlrSjThx89pX3tuOecK82HBMLn/+FAuL3DwaDl9ibzg+Wrgaj0cCVS2lcSD/EzSXvsLJAj5XzCAVGT/xox69N13Lz3U2ATS3163fcXLeXlMpjGNChw8ApdXPM7Tpw5NVlXr9HZaXTV6k6Ytm1/Z20k2VnhcG/+rxM21VK01kP0lP+1ZFW9pvUi2NTvyekzjVOntjOqZM7OJ22g+Ji39XV7agdHk2/vnfRfscO2mdmkmA2swVRym0d4IsWiIqKomfPvkRFhREQoEev93wFBAQ4/lapVFitViwWi9el1Wpl4UILc+YApAABDB55lMcXeD4DrVYYohYklKSQWWW69LverL+Hi8c0vNIpmspyCTtpr/WXeWdPNgnN3AmzsmIFo2LrYLitcLT1C7LyzbVr6IPdxwOjYuO4maV0tAuNMfNNphhb3LqRx5Z/L2PTvB8pyPp9NSmIaoixQExZGbVlmYPAhWra+/vrMRh6YbX2Rq2uxfvvS0RECLN8t9dbb7HhWCTfWh/BRDAaajFT+Q0v3p2JtH69+07btIHjx93GLlalmuLEZuz+9KDHd7BaYcVSOHEUmraAofd799LdtAE+/8S5Pm4C9Onn+9hOpQn1bGozMcb4O3D/IPcCojodLF3jXDebTSjGt2bGpVCOcgNB7P85xMTEMGzYMO677z7atWtH9+4KdnqphN6lC+zY4bm9Rg0oLhb22kVF/5Bl/+Af/N34rzD4B5nWrX2PTGrUEIRAYWEwpxEP5JBAGDq0D8OG9eGzzz7j+FdfsW7CBNZWVnp3BHSB1SqTg0ig8Ai+3yF0QKQkEZ4SQ3jDWCKiahFZaSLuu62EVCj4ghmcpCOtOcVcJhEaZKXy59ewdGqIcs8Z9PfMQFFcTjkXOU0jGrEdfyxYA/wpa18fS0enrDn9XAB+/hYqyp2Xg87Pwo1sPwIbuMjUA/051GQIqUfWorel04jkGn+kZgMZOkrk7CnOZhK4ch/S7QpuoWMtnRnCLoKxIPv5cTu8Bla1+F+Ky7nIWrVXssxeprkqWXbmlJPUMRrhtKd9kgPnzuKoIiPLYhLqDWnHncWdKiuF2f3fQZZ9/omYoNi/6xefwuSX3dvEGkq51y8AQ9kkvqADlUTiR22e49/M9H+bQwOe4WZqV2qd2E4LrR81zQeZAvhTaos97sKiUqO/4U6WGQyCh3FFSbHYXpWwy88DpQpnWUXEen6eO1lWUS6IP1eUl4nt/n/OKg0Q3hOjFgylg2Rhu7o73eRt1F+g9PCrMtSOZX9gL9oUb2EMxWArGm5Ay8HguyieKkoBhR79lVYXj0FZPv/iTbbRg+5sZRavglYPGRkOsgxg//kgN6IMwGBUsv+89xmlXmfl9OcHOX1NT6M6ZZ5EGcCNbFCpaWY8wR46soOudGM7TUkDlV68HxUDebm21EtvZJka8nO9kmVmi0RBiZrQIBMqpRfyKzAIOnWn/vadbJRHOjbfQsvuJimsjYhi3cF95BW7qgQqPIiyWgEBPNi1F/GNGzGxSQqm0U+g8aLukCUF+usZHmTZpYsiSmuPfL7zkW/CLP0c/Oslp1fOrHd9E2brV4t7av3qv4csS+oYyoNxe/G/coZEMsggkfK4hnzaFyQplU5d7iPs0EYSZz1GnYofqCANkS7djgB68qmmAcEql0dqRgYWpQqtqZwH+Z4feZgH+R41ZkxqPfrsCx5kWVERnD8rztX5s2I9xIuo6mKGO1EGYv1ihmfb03+gv7xTxCd4J8vsXmxKpYoGKe1oGVSLrktms4NUBvMmBtoRiMwv9KXWuZP4Z9u+8PnzcOQISouFZdzvKJ6CGcg4DlkZEOM7Jfd/K6S8a7wh/5tJvEs5zg7SnzJmyK9C7hgIF1LA4OJ8XinMYwJmlpDABdowjFM05xSUmKBOfagVATdzqH36GJjd+wul0UDtQ7+gvXnDzYwfRMEYk9Hp751xQSh3vSE7q/r1qu+5Pl+ra3snMPsQRNm3azQ6khu0ITU0mh5fvcBe4ujPbozo0GJiPf1pe+YIWwuyMYRG41dcCOvXU6vSwFlSOEJLWnKEWqZbWPavR3srh8qa7o7clZUw/ikovAUhNWHOvOqJsNkzYN8eaN8Jpkzz3U6WhQrvyCHhgzZtxl8jzJp0CuChwHUElWRRj4tcpB4lgTEs7gyS1Ji4uo3pP+hZNAXXiRoRz26zkZ+I4BgGbntRteTlZrNw4UIW3sH/rlOnDkOHDmXo0GG8+WY7vv9eQZ8+oirjXyUBL1+Gr6sQruu/T+We17IJr+v+3Fn1fjCSAmSrqM686v1ghr5UZdDzB/H9tJoYK+xEGYCEsUJsn7bOncja9HUgFpN7W7NRYvP8QIZMdv8eQyYXMX9SLYdSabDL+zUja/PAq+N47P5+lDbpyzyjGW8mHa4oLS3F7lLuCykpKfTr14++ffvSrl0n2rbVcuGCKKDwzDPiGeuGrCw4fZp6ViM/0B+lzRbmbssepN8uiPdjbP7MaWlw+rTHuEVhMRF45TSBl09yu4pv2YqlsPQHcY+dt2Wg3je8ynHdFkpoV3w9Fzp2di+yYcepNHjjVbHPlcvh9Tf/HsLM2/PVFcG5V+ialY6SGB7gIOVI6DjHFMZSW3mMXXePIbuihPy8axTcuEjBzetuQgmJWJ6gkMc1Rlrv3Iki3mlketGHo4GvTNrZs+HNN2FaNf3PP/gH/+DP47+ELJPYtKmadyV47DH4xCWS8dhjzoe+JEk0v/tumksS0xFpOXtQkodFJE0qJDI7NiSnqJTcG4XcLKhemhtWM4CouuFERtciSq+lztJ9xFnNRCOUaFFADcCk0GJYNRVrssirl67fJGjhb0gYGMRLbvuUK9VUJIQDYE2IcJBP/lTQmsPOYzWYsCa4Dw4joyswVrqHd0xGBZHRniHeSy8/x6mHgnnE/K1DffGD6lH8XxpBiq3MszWmFpiEIq0mZYxko8uOLeJ9G6zx4UiVPkrQmyo9yjSDSL3My3UqJRpV4yPaIEUMek0mwTs08GF9kNpMTOqNlaIEfdUqkH8Wp044xxImE5w87tmmLCIBhbGSd5iJmplsozs9WMdMpqEwqiiLFMxCWWQ9FKZKksjgGM3ZRWc6s4skMjCb1Y52duh0gmNxVZYFBdtKXFdBWG13vzAQ61XTZfz8xYCl2GWsHRAotv8VtJo5lJAze+hoNtIREVKznNHQcuZQ9r+71a3ttKQfeeHwg/TCGVH/lV68n/wjL9jalEUlojBVosTMu1SR2lRWQqL7xLtd/RJ+PlwLk8V5H6iVVtrV930v63VW76mXdkRGO2Z5zThBM9fiNGaTeB+EHMdXGq7JBGHhHpv3ng3inhmpGIwKdBorP09Po0OK53e9MORf7NkWwXCWOM7VWh6g4xOjGVjXgsVi4cCGNaxdMI81ZhN2BxUVolT6CI2Weya/iqZlG9ZlXURKTkbyoUaWZKtbuXY7TqWJgab9HjyV5pssO5kmiDJ7yvzJNN9kWf/BTmVZdZBlWL9GpA02aw79B3mf0JWXC5XxVRpyFtFRBBWK7fa0zbKoREIspaznLQazys44tgAAIABJREFU2uExuZrB6K1l7tdVYiJKG6n4A4/wLSNR2xRDCpPRq7dKjRqij7Iry3z5JtZLhBvXPZVl9bzwSY0ai3RwswlU6ur7yzvFw4+JlGnXeZJa7Rlg0F/PwKrW0sN4jCL6U0gIIRSiQMakDkZ/PQNCEeS1Wu1gc3SuKdYqNdy49H+SLCPnCk9pFyOVG5nOTPKoTW3ymME0ntQuhZxeDrKMG5dBpcHPaGAkl3BWiQdUGvF+VD3IvYpVrUbphVmyarT451zyIMsSk5x2AWqNWPeFmFihLHNVi/lCdIy7sizaS50jV/xeKnZkFGR6CnmJrCJj9b9xEatGS2fTbgqIcJxXNWZMmmD8b1zEEBpN0M1cwXQZDNTiFr1xVlW0B+OqkmVZmWLMUFkpllmZ3u8rEG322eqW7dtdvcKsokIQZbIsllW9huywWERV7BPHxDjkvuHeU8YkCbp2g/VrY8hGnPj+3TzPrz73Cg20fjQxGxlr88DLQqSZ71Fp2BKVSPr1C5h9MZU2JEgSwwYPZtiUKbRq1QpJkiguFhmAVits2iQ8F6srHm8yCTIsPl7c7t5w8aLjJ3NApbZyI0PtQZYd3+KP1SwO2GqWOL7F/y+TZVfSNMiy+0mUZYkraZ5+G+n7dZgMVcbOBgXpB3TYA3mOtge1YN+vLIn1Kgi6nEl3Pz/uNd7mKqIUSBaiPN41tYoTMVEYVFoyMzO9plj6Az2Bvjodfb/9lrr33+94b8EC0c1qNOIcL1oEo6p6yNpOfqrhJPtoz0660IWdpHIStMHifTtZlpHhhW2zHZ5ShT77ggdZduJolaD0UU+yrNrArReyzDXQbawU63+VLJNl9ywLEOuu/Zd4tmnob/yZJTzAFnpxF7/Sn4OYdME0az+Q/NZ3AxB67DeazbiXvPISDhHGJZoznNPUoRT8ggUL5kKW1awpbOiqwkvhUgDGjhWvf/AP/sH/DP66C+P/EdSqVf37Ls8Ur+vExUG3bshaLTHAA1gYD8zSanm7WQords5mT9ocMvIXk2tYzqUGMeyVJFYCS4HdwCVJorxxHOkF37P9yEf8uPZV3vj6FXrQngfRcBfQCAgBjGg4ILemJMppQCNH1cLUtwWVkvtDtlLSYurbAjlKHKQcWRNTv5YYFe7tjAotpn4tPQoM7N1ZC5XKfQKsUsvs2+V50voMucmC9rOIVOTQhgNEKnJY0H4WfYbcdDYK9Mc4sgeyn/vgQvbTYBzVEwKdI0Q5LBjT4HaY1O4PXbPGjxsdB3uoykB47nTvJQbx3XvBmKc9mjjw+BO2h5sklo+P8d5u6P1iECFJYnnvfb73eaewWsXg0RUlJc5IvB2G2rHkt+gFSiXvMIWDtONtpoBSSX6LXhjCYhztCpr2wKLWkkQGj7OAJDJAqyWrflM3VRmIY3ljlki9VCjE8o1Z3icrAQHQoZP7tg6dPKu6SxIMHOK+bdC9fy2a7J+dQcjZ/SirEEZKk5GaZ/c71SeIc3csPYCBrCOJCwxiDUlcYCDrOHY+wHFuKyLqcrNxFy/3ikZo2V1UZQB3t7iJyeJ+ECaLxN0tbvKnERUDySmeA0qVSmyPsg06g4KFmX9VI3+NFjp08VCVmS0S98xIpahMjcGkpKhMzT0zUr16Ms5YmcwoFhLFdbqygyiuM4qFzFwlZstKpZIO7TrytkLiLKKm3EaEa+JqYAgymjpxzh22akVJaDhWpfsxWZUqyiMSKE72VP43ThXXn/A/FOmVvtAkVZwepVIsq2s7cjQsX/f7qrL1a+C7BXBov1j+vNZ7u00bPFPADBViux3l0YkUNmhLV/Ue8qjNSZqQR226qveQG1/fnSxLTia3bhIWlfhd7USZRaWhsH4br2SZJMFb74l07bfe831fDX/YcwKtVMJwL97PPXo5iXCrBbr39L7PP4L4ejD9TdeAkliv6odYGpWEwmZer0CmFrdQ2FJYFaZKJ7mamOhdWQk2Yjnhr3/p/z8QURfMRp5kPjlEUomWHCJ5kvlgNor37YiMF9u8wWwU7wNExKHwca4UxkrKIzzPVWCQSL18ZVr1KZgAk15y/10nvVRN25ertH3Zd9vPPobBfcXSF0aM9rzmJUlsd0V5ZD0UNjsINWaiue4koo2VlNsCRyW1wp0z6SrwFYyLiRWKMq1WLKsjC7VaJ5EXGVW9As3PD8Jsw5mwMO/eqSCIshVLhAJ0xRJYvsT3Ps9UyZY/40U5Xx4R7zhXdsQA9wEfSAo+evtXflpVwuQX3ua9yZMZolRiD88kA1OBo0CGTsc7M2bQunVrh8F+UBD06SP69bvv9l2MBMTt3bIlNG0qlr5u93r1RIDC7bOVKiITPT/Q7K5ytP4iYqD1t9Lsrjur2Fgd6qYakST3QZokydRN9bw3k9sZ0Pi5S440flaS23oSWad36sCRvi/b1t1RllQXhY2liQP6A08Ds4CFKiUvTZlIeno65eXlFJw8yXGNhnXA18BmhCXKWmAsULdjR8d+r1+HcePErVBaKojIcePgRtXKEPXqOe6XVE7yLJ8LogzE9nouHXxioohseYFkMXt9vjVt4bxHtFqxXhV3Gri1I7WZGCqBWPoqXPJHYCf+Xfs213WwP9vEb9Wfn/mEifS3VXp2e7YhAt0as5E4YBj5vMRm6mBjw7wEb0eMwCse+xuyXf7BP/gHfxz/FWSZv/8pFi2qvk3VCL7XiP6SJZS37U4FOooIpgId5W27c+Al95GcRquh5tY3ia+dxF3o6UMgTdGjC0/GuPkNtx4357qOh/2WsZ+2lONHEcGU48d+2vKQ33Jyb7g/UMsXT2aLqg8VaG3fQcsWVR/KF092b7doEtv8eru12+bXm/JFkzwO63KGl/w5GS5d8NyuUsksWnWIEjmI86RQIgexaNUhD7Kt4tMnMY7siazTIAf6Ies0GEf2pOKTJzz2Wf7Nc1xsmoJFraFC649FrSOnwyBOTPrG83shHrLjJoiKleMmVD9AzckRVRWRxTLHhx1Ebo4zcmQ0ivW/ivIyT2JMlqHMSwGmo1N+5FjoXW7X1rHQuzhapcDBkak/kd+8FxaNDpM+GLNaDb168euYFzx3ipi8fvsj/LhSLH2Z+4NQ1VS3bsf1KhGvv5p6Y4/QeYNVrRHqExvMJiHTB8gmhp10dUTVS2+7j92OvLqUPcqubvfVbmUXWLrU4//kl2gI8nMf+AX5mckvqaZ6w51g6gxo0EgQYf56sWzQSGx3xfgXhJm/2tZOrYH2ncX2KigoUWMwunfdBqPC63c9ejEQkCikJidoRiE1AYkjGS6zmrBwaNwM1GqSgT5AGAh2q3Ezd2WbJLH+udcpjU3BrNNj8gvErNNTGpvC/rc2emV3EuqJ1MsRo+Hdj6q/BpMbiNTLR0ZWn4L5R3D8mNMIv9IAx496b3f+rPdocnqVgmWHp6+kILkjVhSEUIgVBQXJHdn41BSPfW56eiqFKe2xaPww6YOxaPwoTGnP4emevlJ2SJJIvayOgI6p4zkpSG3mae4PIt1Fsl0uksKZ/vJX0biJewpeYy+KNTu5aCcM7bCoNBSmtHdWO61fH1q2xFKFhJWVakhq/n9TVQZCNdaovUPWZSd0UGugcQenqgyEaiy5hVDSuUKlFr5t9oqvNSPIa9TcQyJs0ejIa93XQ1VmR2CQSL2sjigDKLntPqEtqUY8W1qlbamPtrIMWza6L72hTTubqsQFSpXY7gpDaPT/196Zx1dVXYv/u5KQEMIg8xCFQCAqIjKJinNFBoFaZ1t9rU9tn1NfW63Dr1Vbh/osWvusA7YPp9a5aEWoY7XFWYuAiFCZUQaZywyZ1u+PtQ+5Se4N94ZA7oX1/XzyuTnn7nvuPuvuffbea6+B1QNPpaJJ9cG/okkeqwcNY3vIyrutVWsYPTqurFYePbqWVVl0H/f9Hu68Z9cumGBZsWNfEyECa0JCxTVrEvfvT6dXt75J9LyC2lZ4X8VJBLmjbWdWDj6Nitw4Mhh8GjvadiY3tynFPXvz07vv5oVBg1iRk8MW4F+YoqZ/kyZI377Qp0+te/rrX2HdOpg8ue5n1qJFMG+eKWrmzbPjeHTvDiU1Ekp0KNxQy6oM4IyfbuD8X6zjiKFbOf8X6zjjp7tnVQZw4e3ryM3XnQozESU3X7ngttoZC4d/fxMHdKzYqTDLza/kgI4VDLu0ekdQhXUrcoh111y3IqdWP9jaoyvrhgxgB9Wfl9vJY92QAWzq1CHUSWjbpw9HjBjByCZ5XIol3GmK9QGGD9+ZFRNM1rX24nLjuPUdeCAMHRp3Q56hQ6usygD69oXDDqtlIliZ3YRNRYfVsioD25Q+9zvQ9wh7PaumUQJmPXb19dbv8pvZ69XXx7cqA9uM++XttoHUUC6YYG7SXQqtTXcptONYbGwbvOuxjbB5e/iJlNd8tuflwUknmTFGDFdcUV3UYMdXXLG7d+U4Tn3YL9wwDz30IoYNm1pnmZ49bYGyfr299ow3N2/Zkrw3X2FM3yXo/AVIz2ImvdmN8lfG1Sqqndvw6fPjue2UJnQtXciSvGJunlDKUZ2rx4ro1GU7qyvbcRJv04u59GIe8+jFPEpoWllBpy41dqgKmnLX8eO58u0dHFS+mK9yiig6Po/jCj6sVe7xs+/nsmey6LJjCcvzujHknEqOKviUmnTvuYWcHK22AZuTo/ToFT8jZ5s2ZQwdsYo3X+vAKSNW0aZNvFhLOWx78HK2/fp7ZC1da66XLRL46uXn8fKl51LU+khWvDWHnt+4IK5FWX0o6g4F4WsLmlXF1KlJl0Lb7V292l5j5hn1plmBuW/FWpcVFEBB89plK/KbM/mKSXz7V0s5sHQBS3OLueCKAzmyxu5zRbMW/PO2yTRd9RUFKxYwv3wh3/1/F1P2+8QBsEUS72LH0q8/zPm8ypWkXwJX1P4D4d0pVeUSxb5JFnOZjG9RkVVWWm2HLqeJGVptqB1yhZatqhtxlRe04tbBr7H6o8UUVcxncXZPmvfJY0YcP5HiTtuquWAClFVkUdwp9Uyv1WjewrJeLl9qMco6F1ZZlMWSm2tZL79/pcUoa98xYVD/di3LaJpbyfay2GQElbRvWVuGA4o38cWyfCoqq+4tO6uSgT1rmDxedxOMvQ1mzTAhl5eZouy62kEwth7QlikPfUqruVN3pmvfUDKozpVSj+JdB/aPKDmkYZRkEf36B1eN7aFdx9nNBjj4UHOPqpnkomZdylq05qPfvMX4q+dTPmc+OYf25NLf9KR0ce0+uKOgBR/c/Q8Kls41WRX22mVq+2Q57gRzaY364XEnxC/Xp2+VFVp2Nhx+RIN8PdnZcOLJMOXv9poou9jUm//CwFvPosVnH7Bd82gqO9jU+xg+uen56gUnTmT94ONovnAx2zWXplJK3sH94GePN0yFG4vrH4axl8Ks982dsrzUFGXXja9d9mePwx0XwdxPqsqWDISfPVat2PSLfkjnt1+gfNJkNK8ZWaU7WDXIsmHuLsXFllkV7LW4jn5b3LO6VUcid0UROHWEKcqGjaxbqdK1q4VEiD2Ox7QbnmLAnRfQ/pPXqczNI6t0B6sHDWPa9U9WL/j44/C971H+4kQ0txlZZTtYedRoZvw0cbvKq+NeanLaGHh5kr3uipGj4NWXYUQdwcqP6G8ZSXeOwwmeV2DJFxYtrIoH2bUofrkZ1/2RfmO/S8ePX94pq5WDRzHj2jgymDQJxowhZ9pnbK7IIS+7nCYDDkcm1X6+LV4Mxx9flRn8nXdqGW1X1bVrdUudRL8r2Pz78xiruXad42ths7LgrOs27LbrZSw9+pXy6/eW8eRNbVg8M5eivqVccNu6WsH9AQpaVXLvjKW8Pr4Fcz9qSslR2xl26aZawf1FoLCkjGVfNEFVEFEKS8ri9oOpEx6gbc+r6bP2I0rJJZdSZrU7irUT7oF3akQoe/JJSs+6AHn99Z1xHvUbw8l/4olqxbp3j78R1COewe7TT7NowLcpmve3nddc3HMohzxdOzM9kyfD6NGUfToTcvKQinI2FR3Gx7dOrl0W+73OOb+262VNjjkWHn3SXC/bd0isKIvo07fhlGQRXQph3MN1u45PvfkvFkJkzodUNsklq6yU9YcezdSaYxvwyc+fo/eNJ9Nt4Wzr2Dt2mKLs2dqmo/n5cN99cEaMF8d99yWex1dWmiFAp07xEyY4jrN77BfZMAcNGqRTp9atLAMbPBYssMlhzV2YWMrLbZJQVGSL8+cnjeOUMfGDdXz0fmve/UdbjjtpLUcNiW+qc90P+/DEIwdVC7Cf36ycCy/+irH3zapVfs3qXC45fwAzp7eib/8NPPzMNNq1rz2Qb9mSzXVX9eGDd9pyzPFrGXv/LAoKavtqqcLF5w/gjZc7Ul4m5OQop45aySPPTEs4SKjCxo05tGxZvtsBXQEe+f2ndO4+jJkfr2HI4DpmkvVg6xZYvMgUZXUFoS8tNaupwsKq+C67y7y5cMvPza2gWTP4xa8sHXwi/vkhTJ8G/QfAkUcnLhcRZZIb9/tJHNg9idl6HVRWwosTqmI7fevsxAPv2/+wmEX9B8IJJ+3W1wJwzHXfoPXs96q5YlY0yWVd72NrxSx75a/wyO+re9fk5cHF/2WLkVi2bIF77zbroJJD4JxzXuHqH4+sVmbSuPGMObCY+ycXct1jxeTmVFJansXYixZw1eg4gSPSgJoxy17+xUyOOaR2zLK5y/IZdPUgtu7IoqIyi+ysSprlVTL1nqmUxIlJyOqV1gm6FNaKlTZp6QLGXH5pg7S1vYmquV7OmGYLz1HfjD/53bIF/vsyU8RG8RBbHQC/e6gqZlnN627ZbMpvkaq+GEskq8pKy1Z1wAG7HwA79vvfegOmfQIDBsI3Tk187XlzTbF2+BF1x6uqDxUViRVlsTRbNp+s+fOp7Nmz2q57rNwmjZvAKD2QdXMX06akiKyDMtSiLB4rv4SvF5vrZcc6NAUAyxdYjLLO3assymKYtPQfjLn8bB4f+zjFTXqytVOPhBZl9WHzpqq50K4Wqps3WWKJ4p67LrurmGVgWcuvvLRKWfTAeOiQwAULYPu8Zfx76gIOGFRM017Vd7li29bYa56HLwtpf1QR7frWtihLFyoqzPUyel6dfV7i/rV6FdxxK3y52BRlP7s5sbsaQN7aFTT7ehFbO3Wv1V5iZXXTTfCX22ftTHRy5k19uPXW2tc76CCL+R57/GWcmHNg1k2xypkaYZqq0bFj9ez1zVtt46l/L098YxnAigU53Da6M8vmNqGwpIybJq+gc3F8N8bN67N49qwtyLSv0AEHcd7zBTRvXcnSSR9x+ZjqvvazZ8Ophy2jBwtZSA/e+LyQ3nFi844YQbXYzSNGwCuvxK9reTn89pqlLH5zAUWnFPOT3xyYKDwZAM/efB89KGRLYa+4FmX7Os2Wzd+5cRg7ttVk6aJJXD6ir8V769mzlkVZRGWlPftiPSVycuyZWHNOXlkJvXtbjpyDD7b2kJ3t2TAdpyHZLyzLkiU3Fw49dNflcnISWJ7F4agh6xMqySLu+K1tof1pfFckS9FK4cKLv9p5vibt2pcy8c0P474XS0FBBQ88WtuSrCYi8Mgz03jjlQ4snFdAj15bOHXkqjontSLQqlX8gT7daFZgSQF2RW5uYsuz+tKrBP70XPVFdV0ceXRySrI9QVYWnHmu/e2KE05qGCVZxNSbnmfgbWfRJmaHbt2hR8d1V4sUYk/90bJ7tmwF3/lubUUZmJLjZ7+oOl66KHGbvWr0MkYNWsuCr/Mp7rSN7p1qxx1JF4YcupE1T7zL6o25tG9ZmnAxVVK4jan3TOX257rxyfyWDOy5kRvPXRJfUQamIIuTUCCTEbGg/qNPr7tcQYEpxl57uUq5Ovy0+IoygMfGWzy00afDf9b2Lt9JZaVl+IyC9v9qbMPs/orAKcPsb1f0KqlbSb87JKMoA3NboY6FRETWQT1pty8pySI6dt21kiyiS3FcJVlNtrZqw/rux+6yXKo0bwFHJBn7p3mL5BPiJKMo7tDBwgasWmm5T+papK9bC1feUEhlZSFZE+CBP0CbOPFpZ8+Gm+4/HchBJsNvfmdWWelIdjac9x372xXtO8Bv70/+2jvadk5KqfrSS/A5ffgcmzhlTySusmx5Df1VvKDksYgkpzCtHbMsyYdMGtO5uJwH53yV1P03b13JJW/lY1HjACoTln3uOVhOIcsp3Hn8y1/WLldTibkkjstuRE4OXHvvgcAuMnYE1hUW0SyDNtAamq2FdSvJqtGtW0IlWcSrr9YOB1debudPq2FL8PXXpigDe00UasZxnPrjyrIYpk+H+++Hq66C/g2UDTEZcnKUsffN4ub/mcPKFU3p1GV7XAuwPYkIDDtt1a4LOikjsusd9/2dshat+XDsW0nv0I0cZa4s5eU2sWsoa53unbantZIsluxs6NQ6QUDwGEoKt/HHnzRQoKp9nIKC5JN7TJ5oQaonT6xbWbZhgynKKirsdcMGc/V3HCc+OTlm3Lor5n5hyuhtWy2+0dwv4OghtctNmWJKmrIy2xSbNTN9lWXpwDe/CTNnVh2fnmCjoUuX6pZldYWv6NoVBg2CGTOgX7+63TBHjoQ//7nquPfAzLYqi6Wh5ioR555risxICVcrOVngtNNgTowX56g4m4tOejB9evzzM2bUVpa1b1/3seM4u48rywLTp8OAEBvikUdg2rS9qzADaN68guYJ4oQ5zv5AKjt0IonTzzvOnmb06VWWZXVxwAFmURZZlsVNHuM4TsqUHGxWmvnN7LXk4PjlTjyxKtO1ZDV8fKN9jVtvNXlNnGiKsltuiV/unXcsufSyEL7i7bcTXzM7Gz74oKpsXRapzzxj3//223b9E77zPnDUbt3Tvkrv3jBrllmUnXsucV0wAe6+uyohw6hRcNdde7eeTvL072/xybbFOADk55uSuSZNmsAFF8CTT8KFF/qc2HH2BK4sC9x/f+3jhx9unLo4juM46c1/fr9ui7IIEXO9bOiYZY6zv9Omrblezv3CFGXxXDDBFAjX3/AOq9edTJ++blW2K0RMYRbP9TKWoqLEMcrikZ1dt0VZRFZW9bjn4xLnL3Kw9h3P9bImd93lSrJMYMQIS5zx3numMMvPh2OPtfPxeOIJy2OSbEgEx3FSw5VlgauuMouy2GPHcZz9ic3bspm1pIA+3bbQPL9uV/AVy2H259D7MOjcZS9VMEPJynLXS8fZE7RpG9/1siadu2zmyIYP7+Y4jtOgZGVZ8oVXX61yWx4xou5Yp64oc5w9hyvLAv37m+tlY8QscxzHaWw2b8um95WDWb85h9bNy5n9wMcJFWYrlsOPrqiKk3Lvg64wcxKTbKbdLdty+NavWvDx3BwGl5Tz+I8306pg38/Y7TiO4zgRWVkWn6xmjDLHcfY+DZCTa9+hf39zvXRFmeM4+xuzlhSwfnMOm7fnsH5zDrOWJEgDiVmUqcKO7YDaseMk4sUJ8PQTMGOavU58Pn65/338SF75JJcV67N55ZNcLrq3+d6tqOM4juM4juMERHXf37UVkdVAHYmS9wvaAWsauxIZisuufrjc6k8jyK5lFvzrMGiZAxvL4ZDPYWOCnPW98+Dj3iCAAoNnw+wde7O2AW9jqdFI8nqnFxzXsur43Y1w/Lza5Vb1hfYxIYpXl0GHmbXL7VW8jSWPyyp5XFaZhf9emcX+/Ht1U1XPi+k4DcR+oSxzQESmquqgxq5HJuKyqx8ut/rjsksOl1NquLxSx2WWPC6r5HFZZRb+e2UW/ns5jtNQuBum4ziO4ziO4ziO4ziO4wRcWeY4juM4juM4juM4juM4AVeW7T/8obErkMG47OqHy63+uOySw+WUGi6v1HGZJY/LKnlcVpmF/16Zhf9ejuM0CB6zzHEcx3Ecx3Ecx3Ecx3ECblnmOI7jOI7jOI7jOI7jOAFXlqUBInKMiHxXRDo1dl0yDREZKiJdGrsemYbLLXXEGCIinRu7LpmAt7HUcZklj4ic6H0xebxtJY/LKrMQEWnsOjjJ4/3LcZxMIqexK+AAMAg4F7hLREpUdUPsmyIi6v6ytRCRXExuA0QkC3gXeBmYoqrbGrVyaYzLrd50AS4DjhCRMuAGVf1bI9cpLfE2ljous+QJi+MLgEEiUgHcqarPN3K10hZvW8njsso8ovmxiPwRmA3co6qljVsrJx7evxzHyTQ8ZlkaICLZwFHYhP+EeMoxERmgqtMap4bpjYjkAf8HtAW2AT2BcmAi8Kqq/rMRq5e2uNxSQ0TyAVR1m4iMBi4BznRFdmK8jaWOyyw1RGQo8APgwtgFsohkq2pF49Us/fC2lTwuq8wheGX8EDgZWKuqY2q878+CNMP7l+M4mYK7YaYBYRA/HYgGhyyoMi0XkeOx3Rei8yLSYm/XM90ISkaAPsBK4HZVPRv4JdAN2A7cLSIfiMjZ4TNNGqOu6YTLrX6EXc+ycFiKWea2Agg7pIhIfxFZ1Dg1TB+8jaWOyyw5YsbFonAqFygE2tQoOkJE/r73apa+eNtKHpdVZiEi/YArgSbAC8BH4Xx2TDF/FqQJ3r8cx8k0XFmWBoTBYxDwejiVFRYE0aAyGngylBXgQOAmEblsb9c1zagMryVYW94Sjs8ExqrqXap6IjASeFlEioE7RGSmiDwqImfup4Owy60eiEiuqpaHwx9gk/LIkiXqq2OA6aG8iEhHEblGRMawf+FtLHVcZkkQY8l5iYhUAlcAvwZW1Sg6GJgVHYhIiYjcJiJH752aphXetpLHZZUhiMUsvAxz4xsHHAbMDG/HWnz7syB98P7lOE5G4cqyRiYov7oDHYC3AVS1rIZr11CC1Vk4nw00BRbHXOcCEXlTRAbupao3OjEyKgLWAQvD8WDgmyLyHRHpqar/VtWtwO+xgXk48DEm164iUiQiZ4lI2717B42Dy61+qGqpiPQWkXeBr4D7VXVr6MNRgOG9vmSTAAASG0lEQVTTgMdCeQVaA72wXW8ARORkEblR9uGEHt7GUsdllhqqehPWvwDeV9VKEcmK/oAhwISYjxyEWZ/tnPeIyBlh0dxqr1W8EfC2lTwuq4ziOmAAZo3UCmipqi9Fb/qzIP3w/uU4TqbhyrJGJgwcxcCSEAvpCBG5TEQOUtXysIPSB/iBiLwrIvcC/wXkA58BiEgv4BtYvIYO0bVF5CgR+ZGIdNzb97W3CPfWFlihqptFpAMWiP1eTCZPi8h/hOItgb+p6gpVHYcFaF+AWfWNxFx5EJGc8NopvO5z/cTllhoi0lpELgV+CzwCXA3kikg3NSILs76Y1ee9InJaOIYqa7MDgP8AbgX6xVy/m4gcFv7fJzJ7eRtLHZdZ3YTFb27MqSbAAmBwGDMrVbUSs74+Ekuac6+IjMAW1WtDeUSkD3AecD1m5RB9R+/w3j7TF8HbViq4rDKGPwLvAY8CbwD9RGRMGJf9WZCmeP9yHCeT8IdJIyIix4jIc8BYwqCNxUQaDtwblGCnALNUdRDwn8CicG61qi4Ln/l/wBzMjXNjzFcMxxb3x8Z85zDZB+KdxUxcDsEs7aI4UacD01V1gqpeqqpHAlGWtBeBCSJyp4h0V9VIVt3D56PfIOJ9ETk7WCycLvuAJZDLLXXEAtE+AfwKeFBVHwlK7v7AFBF5QUQOFJGTgC+BU4EvgEuBO4FNqhrJ+b+xSfrnwNcxX/MfwGciMjTaeRWRduE1oybp3sZSx2WWNE2Aa8ImUCtssdQaUzy/KSJPiLlmDQY+CO//C3PV+iGwUlVXhmtdgy20l2IWDhFXAzNF5EhVVRHJlQy2XvC2lTwuq8xCVaer6k9UtR/wLPAW1vdfFpEn/VmQXnj/chwnE3FlWeMyE5iEWYidJyK3qOpsVT1DVc9U1XnAGcAUgHD8EPBXwiAjImdgQTEfAt4Ejgvnm2KDyUvYbluWmJXac0C08/IrETlHMtDsPMaUuxAbdCPF4ZnA0zXKbg2vdwDnYPL6uYjkhR2tDsDXqrollIviUrUGXg3KxQnAwyJSEF039v9MweVWL8qxnesXsIX6DBE5V1VfU9Ui4CequhSLVzYluA88iKVHf5rgZiAiJwKjMMu0FzBlWxSzsAh7HhRJAJguIoeESfrJYlZpaY+3sdRxmSVNKdZP+mFhC74JPKmqd6hqCXAtsAZzu/pYVdcGa4QfYIuuqC+OBo7AFtjvYlYNkXVCN2A2VS6eRdjiu6uItBCRoZnSF8HbViq4rDKLMK8VEemBzXcfUNWbVPUwTAHmz4I0wvuX4ziZSE5jV2B/Jjzk/xT+IlevbEJg0mBC/j3MRz9iIGZW/oJY4MvLgU+DKfNWbMcGbCG+CbM4Gxl2WQZj7p7zxEzLrwEmA9eHz94OvBEzoKU9qvqUiLwMbAinDgU6iUgb4D1VnQJmpaOqa7Ddw6+wXavh2K5UU6qUjzlq7q9DgVVBrkOwHcf8aGAWs/qbIyJ3ATfFDNQZgcstedSy1U4If9E95IhIE7X4gktC0e8AF8Z8dBDQDpgUFNKXAM+r6hwRWQX0DuWOAHZgE/hzVHW8iPQFNqvqv0SkBFOEzxSRNcA04CFVXUga420sdVxmdRPGpr+GP0SkpapuDMplVHWFmCXoNzALkogTsHF1togcDpwP3KOqq0RkFuam9Q62sN6IBQw/H7PW7gGsUdUvRWQkpuj+IvTF6cBvVXX5nr733cXbVvK4rDKDMEcGWCgWJmENmAWTqn7tz4L0xPuX4ziZhFuWpRGqul5VKzTEWgiKs1+q6rsxxXoCTVT1M8zFcj0wTEQ+Bf4XWB3K9cOUZXOBz0WkJaZ0+zS8fzzwmKqerebi+WNgeSYpyiKCJU+kYCzCdg6zgBtE5A4RaQ78REQGBtkuBjpjg28xZjn0Zbhc1CfOAf4W/j8Bk/NbACJyMBbb4jPMxS4jB1yXW/1Q1XmqOkdVy6JzYnGUvlDVN2OKdgOyVPVDqmKU/UhEHgJ+SpW7x4Dw/9dUBbsdTlX2rmMw65l+wM2YG2fxHrm5BsbbWOq4zJJHg0uOBsLplsDs0O8iSoD1QbF9M9bn7hCR8djYtyOUOxn4BNhGVabbozG3abDx986YvrgSU4hnBN62ksdllVmoxbQqC//7syDN8f7lOE6m4JZlaYyaRcudYZdMg/JsKTBLLHj4AFU9EEBEugBXApFJeAmwSFVfFJFrsIV7f2wnDOBEoIuIlKjqXFWdthdvbY+iqv8kZA8NMmuC7SSOC8fLgWdVdXqQ4xxVnV/jMqdggzfYzuRDwAFhwP0WUAC8hsWmQkSyYnY5qyEiRUCZVsWYS0tcbvVHLcD/SdFxUJ7lA5tE5FjM4qwj5jowEpvs5YXiBwMrgKeAM4KsBmFyApu07wjf8z7w/h6+nT2Gt7HUcZmlhqquxqw8gZ1uN2XAVhE5Hxikqt3DmDkcs+zcEor3xcbId4ETRORIzJokyqR3DDYGZ3xfBG9bqeCyyjz8WZA5eP9yHCddcWVZBhCz+1KBuWO9GQb908ECkKvqchF5C/gfsVgL7YBXwyUWYfEc+mFZNfOAw4APgXvCQHIz8Oe6dltilHYnYwPP7WEykrYEmVUANwI3igV87aaqH4oFUB8IdBeRrzDz741iMSjaqupboXwXLGbVy9hOVWtsYtQdCxgLEDcIe/idrgW+LyLvY7uS41R1Vrzy6YLLbfcIyrPHRKQZFufkhtC3lmMxNJZgQYYB2mOxzjaGSWErbNJ+tYgIJuuKIIctwC2YzOu0AhVz/RwFbAdeV9XNDX2fu4O3sdRxmaWOmgvOXSKSjymmfxTOLwceFZEKYIBYnM8DgBmqukQsO21rTF7viYU96AWUiMgHwFbgGlWdEe97o4VYGC9vA2ZgGfveVHMTkl314b2Jt63kcVllJmn0LPgUeAUb9zftyXvORLx/OY6TTrgbZoaiqltU9ZMw4Y7MxrcAf8YsyJpR5eb1V+ABYIGqrsUGmm2q+n1VHY2Zof89UpSFBXq1LHwxirISLH7DDzHlW/R+axGJ4qWlLWqm+h+G+1mDZTt6HvgJsFpErsKyGUaZCo8BlmqVy90PsN3GzdjO1xfhuhXRd0ggHLYBcoFhWAD4POCsUC5bRIaIyAl77IYbCJdb/VDVrWpJO/4PqqUzbwusF5H+2CQuysr1LJYdd33Y0ewPbFdz9RgO3A9sjRbZEtKlRwRlGyJyPPAgJr/vYhP8e0SkVc3PpAvexlLHZZY8qrpNVWeo6ktQrS/mhL9+4XWlWDKclzFr7TVh3OwDzFcLWzAM+B3w73AtqaNfnYq5VC/AYpC+JiJHp5OiLB7etpLHZZVZNOKzYBimeFmEZbd/WyxJFyJyUMPf6b6B9y/HcRoTV5ZlOLETblX9UFXvUjNn/jFVuyeKZZ/5OByfiFmVRZ/bhA04fUSkQ3TNmAV5Vsz3XItlI1tImBwE+gC/EJFKMfP2tCbmHher6u2qOkxV87BkCzsw5SKYBd3c8P+jwHjMVLwHNuA2E5GLxXa7dl47Rl5dMCu+eUHOU4BuYjtfuVha8zdE5C+SASmuXW67R9hdFlV9VlUvwrJBPYjF4QDbTT0BsyAFiy04M3x2k6pOVNVpYjvjsRmgogl/NNkbj1mTXaSq31LVI4DF2KRvgIhMFJFZInLMnrzf+uBtLHVcZqmjwf1GVR9R1auw+De3YYk1yrDg3mMI2aixhBxzwmc2qepE4CsRaR5ElKgv9sUSe/xWVc/E5H69iHQMZc8XkRdE5Fqx2KJphbet5HFZZSZ78VlwOPCwqt6tqmepan8su2ZH4Nowf75RzLLNqYH3L8dxGoO0tDBwdh9V/Srm8C+YO1Y0eJwGtBaRU4FZqroCU5wOBa4TkYexNM5tsZTbOwBE5GhM0XYDZp3WNuY7Zqvqt8XiOnxJhqKqG4CXYk79AVgV/n9BVbeLZSpsj2VMOgC4APimiDyFmeMLZs2n2IBbArwoZvWzBrhfLWtbFja4V2Cy3EKG4nJLnpgJGaq6iqrYZAB/x6zHXgnHZ2GumzsRS4l+g4icBdyFZdHcGCb1lSJyFNBMVR8PstOwGHgGSwDSDLMM/QJovgducY/gbSx1XGbJo+aKFdvXJmHymBKU02OAz6R6nJsOwM1S5V41GbPaLgUQka5Yf/tSRLLVLBkew1ypm4RrrMQWY3dg/T4jXH28bSWPyyqz2EPPgsg18G4ReR14TVX/qao7xLLR/xxLSLAV+42dJPH+5TjOnsQty/YDVLVMVV9R1QXh1HnAPVjQ8ddE5BYsa9//qmoX4F5sEX0VMFNEThRLufxfwO/UzNA/wDIDRZZna8UCYpYDU/fi7e1RVPVdVZ0b/t8eTudi2ZHmquqXqnqKqn4LSy2ej8V/ux7ohA24N6rqkdgA/qWqvhQzySoAugLLdB+KXeFyqx+qukhV/1tV3wunxmEeAh+IyIcichG22/1zbLI3CzgO+LuITBGRbliQ28hyVGJ2zVeFzdPFWIavxVhK9ozE21jquMySR1Vnqer1qjobCwp+PxZP8D0R+VhEzlBzD7ocG0unYxtOM4PFQWdsjFwKrNAql59emNV3i/A9f8cW1nM0g2PieNtKHpdVZlHPZ8EpVD0LOmEW47OxMAvNgFtE5JJw/U3Y7y/YxvOOmnVwksf7l+M4DYlblu2HhF2zR8IfYq6XO6KBQC0mwBrgPBHJVdXSYG02GBgWLFeOBR4Pl8zFgoiPxAb6UpH0Cl7ckKjqVIJCMDKxV9UKVf03FjPuz+G9YuAgLLYCmLyGisjpamb7YINyLqa4wOXmcotFVZ/GrDwRkcOxHVGxt/STqJyITMasPldgk7gPwlvVNkRirFtGYdlyt+5LsvM2ljous12j5lb1VPiL+qLEjJnRBtFsEXkROFrNCmEwptDeEY2lwFFYGINYuZwGzA/XTpihLdPwtpU8LqvMIMVnwUTsWfC1mNfFp6o6GVOO14w52h9T5izdW/eyP+H9y3Gc+uKWZU7kCkbsBF1EssIAUCrm7nWqqh6GmSdPwgJpRgkEoh3z4cDfwrX2i4EjTI5ig4RmS1Ww2F6YUjHaeeqBZWCaE3OJQ7AJ0sK9UN20weWWOqr6maq+E/VTkapEHGHS91ZYjE/C0qZHWTljiWQ8AngrlNkn+6q3sdRxmSVH6Isz4/TFrNAXI4vNI4G3VXVHTF+8AJPZkphLHkvojyTI0JbpeNtKHpdV5pDqs6DGZ8uDmx+Ysmw5Vcl+nD2E9y/HcVLBLcucuNQY+OdiMY4IuzDPicgW4NvAfVqVcaY3FndhvyV2AMayn70P/EEsFfVy4E+ReXigDWbFtyJ8fp9UXOwKl1vqRPccvcbsbv4NOF1EHscUZ58AfdWSA0R9tT8W72y/wdtY6rjMkiOmL8ZuOLXHrMceEpEPgI+wRVg7YLyqbgvl2mGLsRvDR/cJq7Jd4W0reVxWmcMungV/EJH3sAQ+b6jqxpjftgcWhH7zXq7yfo/3L8dx6kK8jzupEC3IRWQ0cKmqfktELsCCm16iqn0auYppiYh0B9pGJvoiMhy4DFNYv6CqjzZm/dIVl1tqxPTPDlhswpMwa7J7sPhk3bF4G4+p6oBGq2ga4W0sdVxmyRNkNRKzLPkH8IqqrhKRAlXdIiKHAuNU9aRGrGba4G0reVxWmUX4vU7B3K5nqOqtInIcZql0MvA/msFxC/c1vH85jgOuLHN2ExHJBX4AXIwN+G8At8XEbXDiICI9sAQKA7AA7T9X1V83bq3SH5db/QgWou2xjHsXAtnAT4GnIzdsx/A2ljous9QRkZOwZDoHAhuwmKBr3UqhOt62ksdllXmIyLcxq9JOWGiTK1X19catlRMP71+Os3/iyjKnwRCRPOAYYKGqftnY9ckURKQp0FpVVzR2XTIJl1v9CP30FGAIMEFVZzRyldIWb2Op4zJLntAXTwTOx9yv7lLVrxq3VumLt63kcVllFuFZMAJLvDPTg8anN96/HGf/wZVljuM4juM4juM4juM4jhPwbJiO4ziO4ziO4ziO4ziOE3BlmeM4juM4juM4juM4juMEXFnmOI7jOI7jOI7jOI7jOAFXljmO4ziO4ziO4ziO4zhOwJVljuM4juM4juM4juM4jhNwZZnjOI7jOI7jOI7jOI7jBFxZ5jiO4ziO4ziO4ziO4zgBV5Y5juM4juM4juM4juM4TuD/Aw66NX9v9q2KAAAAAElFTkSuQmCC\n", + "image/png": 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\n", 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" ] @@ -157,46 +159,46 @@ "name": "stdout", "output_type": "stream", "text": [ - "- Automatic phrase segmentation on the SymbTr-txt file: ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", - " The call took 10.03 seconds to execute.\n", - "- Getting relevant metadata of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Automatic phrase segmentation on the SymbTr-txt file: ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", + " The call took 9.40 seconds to execute.\n", + "- Getting relevant metadata of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 1.31 seconds to execute.\n", - "- Extracting predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 40.43 seconds to execute.\n", - "- Filtering predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 7.19 seconds to execute.\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Extracting predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 42.81 seconds to execute.\n", + "- Filtering predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 6.71 seconds to execute.\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.05 seconds to execute.\n", - "- Computing pitch class distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch class distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.05 seconds to execute.\n", - " The call took 0.06 seconds to execute.\n", - "- Identifying tonic from the predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.51 seconds to execute.\n", - "- Identifying the transposition of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.01 seconds to execute.\n", - "- Computing the note models for ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.05 seconds to execute.\n", - "- Computing the melodic progression model of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 2.82 seconds to execute.\n", - "- Extracting score-informed tonic and tempo of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 14.24 seconds to execute.\n", - "- Aligning audio recording ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 and music score ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt.\n", - " The call took 19.31 seconds to execute.\n", - "- Filtering predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 after audio-score alignment.\n", - " The call took 21.18 seconds to execute.\n", - "- Computing the note models for ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 19.18 seconds to execute.\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Identifying tonic from the predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.49 seconds to execute.\n", + "- Identifying the transposition of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.00 seconds to execute.\n", + "- Computing the note models for ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.04 seconds to execute.\n", + "- Computing the melodic progression model of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 2.81 seconds to execute.\n", + "- Extracting score-informed tonic and tempo of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 15.21 seconds to execute.\n", + "- Aligning audio recording ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 and music score ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt.\n", + " The call took 18.42 seconds to execute.\n", + "- Filtering predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 after audio-score alignment.\n", + " The call took 20.74 seconds to execute.\n", + "- Computing the note models for ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 17.20 seconds to execute.\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.02 seconds to execute.\n", - "- Computing pitch class distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch class distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.02 seconds to execute.\n", " The call took 0.03 seconds to execute.\n", - "- Identifying the transposition of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.01 seconds to execute.\n", - "- Computing the melodic progression model of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 2.72 seconds to execute.\n" + "- Identifying the transposition of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.00 seconds to execute.\n", + "- Computing the melodic progression model of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 2.59 seconds to execute.\n" ] } ], @@ -248,7 +250,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.6.10" } }, "nbformat": 4, diff --git a/demos/joint_analysis_demo.ipynb b/demos/joint_analysis_demo.ipynb index 2c48592..754a19c 100644 --- a/demos/joint_analysis_demo.ipynb +++ b/demos/joint_analysis_demo.ipynb @@ -29,14 +29,16 @@ "metadata": {}, "outputs": [], "source": [ + "data_folder = os.path.join('..', 'sample-data')\n", + "\n", "# score inputs\n", "symbtr_name = 'ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede'\n", - "txt_score_filename = os.path.join(symbtr_name, symbtr_name + '.txt')\n", - "mu2_score_filename = os.path.join(symbtr_name, symbtr_name + '.mu2')\n", + "txt_score_filename = os.path.join(data_folder, symbtr_name, symbtr_name + '.txt')\n", + "mu2_score_filename = os.path.join(data_folder, symbtr_name, symbtr_name + '.mu2')\n", "\n", "# instantiate\n", "audio_mbid = 'f970f1e0-0be9-4914-8302-709a0eac088e'\n", - "audio_filename = os.path.join(symbtr_name, audio_mbid, audio_mbid + '.mp3')\n", + "audio_filename = os.path.join(data_folder, symbtr_name, audio_mbid, audio_mbid + '.mp3')\n", "\n", "# instantiate analyzer objects\n", "scoreAnalyzer = SymbTrAnalyzer(verbose=True)\n", @@ -60,10 +62,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "- Automatic phrase segmentation on the SymbTr-txt file: ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", - " The call took 8.94 seconds to execute.\n", - "- Extracting predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 40.12 seconds to execute.\n" + "- Automatic phrase segmentation on the SymbTr-txt file: ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", + " The call took 9.44 seconds to execute.\n", + "- Extracting predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 53.59 seconds to execute.\n" ] } ], @@ -93,18 +95,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "- Extracting score-informed tonic and tempo of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 15.41 seconds to execute.\n", - "- Aligning audio recording ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 and music score ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt.\n", - " The call took 20.99 seconds to execute.\n", - "- Filtering predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 after audio-score alignment.\n" + "- Extracting score-informed tonic and tempo of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 15.40 seconds to execute.\n", + "- Aligning audio recording ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 and music score ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt.\n", + " The call took 20.14 seconds to execute.\n", + "- Filtering predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 after audio-score alignment.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/home/sertansenturk/Documents/notaIcra/code/tomato/tomato/joint/alignedpitchfilter.py:77: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", + "/home/sertansenturk/Documents/notaIcra/code/tomato/src/tomato/joint/alignedpitchfilter.py:79: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", " p[1] for p in pitch_corrected\n" ] }, @@ -112,17 +114,17 @@ "name": "stdout", "output_type": "stream", "text": [ - " The call took 20.50 seconds to execute.\n", - "- Computing the note models for ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n" + " The call took 20.33 seconds to execute.\n", + "- Computing the note models for ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/home/sertansenturk/Documents/notaIcra/code/tomato/tomato/joint/alignednotemodel.py:143: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", + "/home/sertansenturk/Documents/notaIcra/code/tomato/src/tomato/joint/alignednotemodel.py:141: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", " p for p in pitch\n", - "/home/sertansenturk/Documents/notaIcra/code/tomato/tomato/joint/alignednotemodel.py:156: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", + "/home/sertansenturk/Documents/notaIcra/code/tomato/src/tomato/joint/alignednotemodel.py:154: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", " temp_pitch_vals = np.hstack(nn for nn in note_trajectories)\n" ] }, @@ -130,22 +132,22 @@ "name": "stdout", "output_type": "stream", "text": [ - " The call took 19.03 seconds to execute.\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 18.72 seconds to execute.\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.02 seconds to execute.\n", - "- Computing pitch class distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - "- Computing pitch distribution of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch class distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Computing pitch distribution of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.02 seconds to execute.\n", " The call took 0.03 seconds to execute.\n", - "- Identifying the transposition of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 0.01 seconds to execute.\n", - "- Computing the melodic progression model of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 2.62 seconds to execute.\n" + "- Identifying the transposition of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 0.00 seconds to execute.\n", + "- Computing the melodic progression model of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 2.70 seconds to execute.\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -196,21 +198,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "- Automatic phrase segmentation on the SymbTr-txt file: ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", - " The call took 9.73 seconds to execute.\n", - "- Extracting predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 41.34 seconds to execute.\n", - "- Extracting score-informed tonic and tempo of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 16.08 seconds to execute.\n", - "- Aligning audio recording ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 and music score ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt.\n", - " The call took 20.02 seconds to execute.\n", - "- Filtering predominant melody of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 after audio-score alignment.\n", - " The call took 21.14 seconds to execute.\n", - "- Computing the note models for ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 20.13 seconds to execute.\n", - "- Computing the melodic progression model of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", - " The call took 2.66 seconds to execute.\n", - "- Identifying the transposition of ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + "- Automatic phrase segmentation on the SymbTr-txt file: ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", + " The call took 9.56 seconds to execute.\n", + "- Extracting predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 42.41 seconds to execute.\n", + "- Extracting score-informed tonic and tempo of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 15.85 seconds to execute.\n", + "- Aligning audio recording ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 and music score ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt.\n", + " The call took 20.28 seconds to execute.\n", + "- Filtering predominant melody of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 after audio-score alignment.\n", + " The call took 19.91 seconds to execute.\n", + "- Computing the note models for ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 19.37 seconds to execute.\n", + "- Computing the melodic progression model of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", + " The call took 2.52 seconds to execute.\n", + "- Identifying the transposition of ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3\n", " The call took 0.00 seconds to execute.\n" ] } @@ -268,7 +270,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.6.10" } }, "nbformat": 4, diff --git a/demos/score_analysis_demo.ipynb b/demos/score_analysis_demo.ipynb index c1acfad..3830955 100644 --- a/demos/score_analysis_demo.ipynb +++ b/demos/score_analysis_demo.ipynb @@ -17,13 +17,15 @@ "metadata": {}, "outputs": [], "source": [ - "# symbtr name, \n", - "# it is needed if the filename is modified from the SymbTr naming convention\n", + "data_folder = os.path.join('..', 'sample-data')\n", + "\n", + "# symbtr name is needed if the filename is modified from the SymbTr naming convention\n", + "score_folder = 'ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede'\n", "symbtr_name = 'ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede'\n", "\n", "# score filepaths\n", - "txt_filename = os.path.join(symbtr_name, symbtr_name + '.txt')\n", - "mu2_filename = os.path.join(symbtr_name, symbtr_name + '.mu2')\n", + "txt_filename = os.path.join(data_folder, score_folder, symbtr_name + '.txt')\n", + "mu2_filename = os.path.join(data_folder, score_folder, symbtr_name + '.mu2')\n", "\n", "# instantiate analyzer object\n", "scoreAnalyzer = SymbTrAnalyzer(verbose=True)\n" @@ -45,8 +47,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "- Automatic phrase segmentation on the SymbTr-txt file: ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", - " The call took 8.77 seconds to execute.\n" + "- Automatic phrase segmentation on the SymbTr-txt file: ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", + " The call took 9.77 seconds to execute.\n" ] } ], @@ -131,8 +133,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "- Automatic phrase segmentation on the SymbTr-txt file: ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", - " The call took 8.84 seconds to execute.\n" + "- Automatic phrase segmentation on the SymbTr-txt file: ../sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt\n", + " The call took 9.37 seconds to execute.\n" ] } ], @@ -211,7 +213,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.6.10" } }, "nbformat": 4, diff --git a/demos/score_conversion_demo.ipynb b/demos/score_conversion_demo.ipynb index 8376bb9..83e58e8 100644 --- a/demos/score_conversion_demo.ipynb +++ b/demos/score_conversion_demo.ipynb @@ -17,19 +17,21 @@ "metadata": {}, "outputs": [], "source": [ + "data_folder = os.path.join('..', 'sample-data')\n", + "\n", "# score filepaths\n", "score_folder = 'ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede'\n", "symbtr_name = 'ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede'\n", "work_mbid = 'e7924b0d-c8a0-4b4a-b253-8eec898eac1e'\n", "\n", "# input files\n", - "txt_filename = os.path.join(score_folder, symbtr_name + '.txt')\n", - "mu2_filename = os.path.join(score_folder, symbtr_name + '.mu2')\n", + "txt_filename = os.path.join(data_folder, score_folder, symbtr_name + '.txt')\n", + "mu2_filename = os.path.join(data_folder, score_folder, symbtr_name + '.mu2')\n", "\n", "# outputs \n", - "xml_filename = os.path.join(score_folder, symbtr_name + '.xml')\n", - "ly_filename = os.path.join(score_folder, symbtr_name + '.ly')\n", - "svg_filename_template = os.path.join(score_folder, symbtr_name)\n", + "xml_filename = os.path.join(data_folder, score_folder, symbtr_name + '.xml')\n", + "ly_filename = os.path.join(data_folder, score_folder, symbtr_name + '.ly')\n", + "svg_filename_template = os.path.join(data_folder, score_folder, symbtr_name)\n", "\n", "# parameters\n", "render_metadata = True # Add the metadata stored in MusicXML to Lilypond\n", @@ -105,7 +107,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.6.10" } }, "nbformat": 4, diff --git a/docker/tests/Dockerfile b/docker/tests/Dockerfile index aaad46d..ff313e9 100644 --- a/docker/tests/Dockerfile +++ b/docker/tests/Dockerfile @@ -3,7 +3,7 @@ FROM sertansenturk/tomato:latest RUN pip3 install --user pytest COPY tests /code/tests -COPY demos /code/demos +COPY sample-data /code/sample-data USER root RUN chown -R tomato_user:tomato_user /code diff --git a/requirements.dev.txt b/requirements.dev.txt index ee9ffe2..52a0ea7 100644 --- a/requirements.dev.txt +++ b/requirements.dev.txt @@ -1,5 +1,6 @@ -tox +black +flake8 pylint pylint-fail-under -flake8 -black \ No newline at end of file +rope +tox \ No newline at end of file diff --git a/demos/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 b/sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 similarity index 100% rename from demos/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 rename to sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/f970f1e0-0be9-4914-8302-709a0eac088e/f970f1e0-0be9-4914-8302-709a0eac088e.mp3 diff --git a/demos/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.mu2 b/sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.mu2 similarity index 100% rename from demos/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.mu2 rename to sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.mu2 diff --git a/demos/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.pdf b/sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.pdf similarity index 100% rename from demos/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.pdf rename to sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.pdf diff --git a/demos/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt b/sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt similarity index 100% rename from demos/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt rename to sample-data/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede/ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede.txt diff --git a/setup.py b/setup.py index 51c29d1..92de201 100644 --- a/setup.py +++ b/setup.py @@ -156,11 +156,12 @@ def _download_binary(fpath, bin_url, sys_os): ], extras_require={ "development": [ - "tox", + "black", + "flake8", "pylint", "pylint-fail-under", - "flake8", - "black", + "rope", + "tox" ], "demo": ["jupyter"], }, diff --git a/tests/joint/test_complete_analyzer.py b/tests/joint/test_complete_analyzer.py index 2c0fef2..8457db2 100644 --- a/tests/joint/test_complete_analyzer.py +++ b/tests/joint/test_complete_analyzer.py @@ -9,13 +9,13 @@ def test_smoke_complete_analyzer(): # score input symbtr_name = "ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede" - demo_folder = os.path.join("demos", symbtr_name) - txt_score_filename = os.path.join(demo_folder, symbtr_name + ".txt") - mu2_score_filename = os.path.join(demo_folder, symbtr_name + ".mu2") + score_folder = os.path.join("sample-data", symbtr_name) + txt_score_filename = os.path.join(score_folder, symbtr_name + ".txt") + mu2_score_filename = os.path.join(score_folder, symbtr_name + ".mu2") # audio input audio_mbid = "f970f1e0-0be9-4914-8302-709a0eac088e" - audio_filename = os.path.join(demo_folder, audio_mbid, audio_mbid + ".mp3") + audio_filename = os.path.join(score_folder, audio_mbid, audio_mbid + ".mp3") complete_analyzer = CompleteAnalyzer() complete_features = complete_analyzer.analyze( diff --git a/tests/symbolic/test_symbtr_converter.py b/tests/symbolic/test_symbtr_converter.py index 03e40f4..d6111b3 100644 --- a/tests/symbolic/test_symbtr_converter.py +++ b/tests/symbolic/test_symbtr_converter.py @@ -9,7 +9,7 @@ def test_smoke_symbtr_converter(): # inputs symbtr_name = "ussak--sazsemaisi--aksaksemai----neyzen_aziz_dede" - score_folder = os.path.join("demos", symbtr_name) + score_folder = os.path.join("sample-data", symbtr_name) txt_score_filename = os.path.join(score_folder, symbtr_name + ".txt") mu2_score_filename = os.path.join(score_folder, symbtr_name + ".mu2") work_mbid = "e7924b0d-c8a0-4b4a-b253-8eec898eac1e" From 645bdfd10a674058e663dfdb5c5bc1393c67b9f4 Mon Sep 17 00:00:00 2001 From: Sertan Senturk Date: Tue, 21 Jan 2020 01:15:42 +0000 Subject: [PATCH 7/9] [skip travis] removed dev-venv from gitignore --- .gitignore | 1 - 1 file changed, 1 deletion(-) diff --git a/.gitignore b/.gitignore index 4e32528..da275ae 100644 --- a/.gitignore +++ b/.gitignore @@ -106,7 +106,6 @@ venv/ ENV/ env.bak/ venv.bak/ -dev-venv/ venv-dev/ # mkdocs documentation From 94dda975e8f10b744b97bedee66bc8cded79588e Mon Sep 17 00:00:00 2001 From: Sertan Senturk Date: Tue, 21 Jan 2020 01:30:30 +0000 Subject: [PATCH 8/9] [skip travis] updated readme --- README.md | 44 +++++++++++++++++++++----------------------- 1 file changed, 21 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index 7c4cdee..8dfe0d0 100644 --- a/README.md +++ b/README.md @@ -6,22 +6,19 @@ ## Table of contents -- [1. Introduction](#1-introduction) -- [2. tomato in a nutshell](#2-tomato-in-a-nutshell) -- [3. Installation](#3-installation) - - [3.1. Prequisites](#31-prequisites) - - [3.2. Install tomato using make](#32-install-tomato-using-gnu-make) - - [3.3. Running tomato using docker](#33-running-tomato-using-docker) - - [3.4. Step-by-step installation](#34-step-by-step-installation) - - [3.4.1. Installing tomato](#341-installing-tomato) - - [3.4.2. Installing MATLAB runtime](#342-installing-matlab-runtime) - - [3.4.3. Installing LilyPond](#343-installing-lilypond) -- [4. Documentation](#4-documentation) -- [5. License](#5-license) -- [6. FAQ](#6-faq) -- [7. Authors](7-authors) -- [8. Acknowledgments](#8-acknowledgments) -- [9. References](#9-references) +1. [Introduction](#1-introduction) +2. [tomato in a nutshell](#2-tomato-in-a-nutshell) +3. [Installation](#3-installation) + 1. [Prequisites](#31-prequisites) + 2. [Install tomato using GNU make](#32-install-tomato-using-gnu-make) + 3. [Running tomato using docker](#33-running-tomato-using-docker) + 4. [Step-by-step installation](#34-step-by-step-installation) +4. [Documentation](#4-documentation) +5. [License](#5-license) +6. [FAQ](#6-faq) +7. [Authors](7-authors) +8. [Acknowledgments](#8-acknowledgments) +9. [References](#9-references) ## 1. Introduction @@ -80,7 +77,7 @@ You can refer to the Jupyter notebooks in [demos](https://github.com/sertansentu ### 3.1. Prequisites -`tomato` may require several packages to be installed, depending on your operating system. For example, in *Ubuntu 16.04* using *Python 3.5*, you have to install the _python 3_, _libxml2, libxslt1, freetype_, and _png_ development packages. You can install them by: +`tomato` may require several packages before installation, depending on your operating system. For example, in *Ubuntu 16.04* using *Python 3.5*, you have to install the _python 3_, _libxml2, libxslt1, freetype_, and _png_ development packages. You can install them by: ```bash sudo apt-get install python3 python3.5-dev python3-pip libxml2-dev libxslt1-dev libfreetype6-dev libpng12-dev @@ -88,29 +85,30 @@ sudo apt-get install python3 python3.5-dev python3-pip libxml2-dev libxslt1-dev ### 3.2. Install tomato using GNU make -You can install `tomato` and all its dependencies by running: +You can install `tomato` and all its dependencies by running in the terminal: ```bash cd path/to/tomato make ``` -The above command installs `tomato` to a virtual environment called `./venv`. +The above command installs `tomato` to a virtual environment called `./venv`, as well as *LilyPond* and *MATLAB Compiler Runtime*. -If you want to install `tomato` in editable mode and with the extra Python requirements (namely `demo` and `development` requirements), you can call: +If you want to install `tomato` in editable mode with the extra Python requirements (i.e., `demo` and `development`), you can run: ```bash make all-editable ``` For more options, please refer to the help by running: + ```bash make help ``` ### 3.3. Running tomato using docker -For the reproducibility and maintability's sake, `tomato` also comes with `docker` support. +For the reproducibility and maintability's sake, `tomato` comes with `docker` support. To build the docker image simply go to the base folder of the repository and run: @@ -130,7 +128,7 @@ For more information on working with `docker`, please refer to the [official doc ### 3.4. Step-by-step installation -If the above options do not work for you, you need to complete the three steps below: +If the above options do not work for you, you need to complete the steps below: #### 3.4.1. Installing tomato @@ -217,7 +215,7 @@ Any data (the music scores, extracted features, training models, figures, output 4. **Where are the MATLAB binaries?** - The binaries are not stored in `tomato` because they are relatively big. It would take too much space to store them here, including the versions introduced in each modification. Instead, the binaries are provided within the releases of the relevant packages. The binaries are downloaded to [tomato/bin](https://github.com/sertansenturk/tomato/blob/master/tomato/bin) during the installation. + The binaries are not stored in `tomato` because it would take too much space to store these large files and their old versions here. Instead, the binaries are provided within the releases of the relevant packages. The binaries are downloaded to [tomato/bin](https://github.com/sertansenturk/tomato/blob/master/tomato/bin) during the installation. Please refer to [tomato/config/bin.cfg](https://github.com/sertansenturk/tomato/blob/master/tomato/config/bin.cfg) for the relevant releases. From bc150716a5fc705d9bdb84100b982bf8120196d8 Mon Sep 17 00:00:00 2001 From: Sertan Senturk Date: Tue, 21 Jan 2020 01:33:13 +0000 Subject: [PATCH 9/9] Added pytest to setup extras-require and requirements.dev.txt --- requirements.dev.txt | 1 + setup.py | 1 + 2 files changed, 2 insertions(+) diff --git a/requirements.dev.txt b/requirements.dev.txt index 52a0ea7..5d93560 100644 --- a/requirements.dev.txt +++ b/requirements.dev.txt @@ -2,5 +2,6 @@ black flake8 pylint pylint-fail-under +pytest rope tox \ No newline at end of file diff --git a/setup.py b/setup.py index 92de201..5e0e596 100644 --- a/setup.py +++ b/setup.py @@ -160,6 +160,7 @@ def _download_binary(fpath, bin_url, sys_os): "flake8", "pylint", "pylint-fail-under", + "pytest", "rope", "tox" ],